From 9083fb7ec554e70f73ae254fc30722e7abc627ac Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 4 Sep 2021 08:41:39 +0200 Subject: [PATCH 01/32] ignore venv --- .gitignore | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.gitignore b/.gitignore index f45490f..725aa08 100644 --- a/.gitignore +++ b/.gitignore @@ -25,3 +25,8 @@ $RECYCLE.BIN/ .ipynb_checkpoints/ __pycache__/ *.pyc + + +.venv + +.vscode From 15ff6b946f400321cc244dcdd5996ca034cf5805 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 11 Sep 2021 11:41:11 +0200 Subject: [PATCH 02/32] rename and improce --- plot_lm.py => plot_utils.py | 32 +++++++++++++++++++------------- 1 file changed, 19 insertions(+), 13 deletions(-) rename plot_lm.py => plot_utils.py (84%) diff --git a/plot_lm.py b/plot_utils.py similarity index 84% rename from plot_lm.py rename to plot_utils.py index 189d209..6a6a69a 100644 --- a/plot_lm.py +++ b/plot_utils.py @@ -1,11 +1,14 @@ -def plot_lm(model_fit, data, key, n=3): - import numpy as np - import pandas as pd - import seaborn as sns - import matplotlib.pyplot as plt - import statsmodels.formula.api as smf +import warnings + +import numpy as np +import pandas as pd +import seaborn as sns +import matplotlib.pyplot as plt + +import statsmodels.formula.api as smf +from statsmodels.graphics.gofplots import ProbPlot - from statsmodels.graphics.gofplots import ProbPlot +def plot_lm(model_fit, data, key, n=3): # fitted values (need a constant term for intercept) model_fitted_y = model_fit.fittedvalues @@ -29,7 +32,7 @@ def plot_lm(model_fit, data, key, n=3): # first plot plot_lm_1 = plt.subplot(2, 2, 1) - temp_plot = sns.residplot(model_fitted_y, key, data=data, + temp_plot = sns.residplot(x=model_fitted_y, y=key, data=data, lowess=True, scatter_kws={'alpha': 0.5}, line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}) @@ -48,7 +51,10 @@ def plot_lm(model_fit, data, key, n=3): # second plot plot_lm_2 = plt.subplot(2, 2, 2) QQ = ProbPlot(model_norm_residuals) - temp_plot = QQ.qqplot(line='45', alpha=0.5, color='#4C72B0', lw=1, ax=plot_lm_2) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + temp_plot = QQ.qqplot(line='45', alpha=0.5, color='lightblue', lw=1, ax=plot_lm_2) plot_lm_2.set_title('Normal Q-Q') plot_lm_2.set_xlabel('Theoretical Quantiles') @@ -64,8 +70,8 @@ def plot_lm(model_fit, data, key, n=3): # third plot plot_lm_3 = plt.subplot(2, 2, 3) - plt.scatter(model_fitted_y, model_norm_residuals_abs_sqrt, alpha=0.5) - sns.regplot(model_fitted_y, model_norm_residuals_abs_sqrt, + plt.scatter(x=model_fitted_y, y=model_norm_residuals_abs_sqrt, alpha=0.5) + sns.regplot(x=model_fitted_y, y=model_norm_residuals_abs_sqrt, scatter=False, ci=False, lowess=True, @@ -88,8 +94,8 @@ def plot_lm(model_fit, data, key, n=3): # fourth plot plot_lm_4 = plt.subplot(2, 2, 4) - plt.scatter(model_leverage, model_norm_residuals, alpha=0.5) - sns.regplot(model_leverage, model_norm_residuals, + plt.scatter(x=model_leverage, y=model_norm_residuals, alpha=0.5) + sns.regplot(x=model_leverage, y=model_norm_residuals, scatter=False, ci=False, lowess=True, From c48a82c282d29053232b5548182759a91e6886a1 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 11 Sep 2021 11:41:23 +0200 Subject: [PATCH 03/32] rename --- Chapter3_Linear_regression.ipynb => 03_Linear_regression.ipynb | 0 Chapter4_classification.ipynb => 04_classification.ipynb | 0 Chapter5_Resampling_Methods.ipynb => 05_Resampling_Methods.ipynb | 0 ...on.ipynb => 06_Linear_Model_Selection_and_Regularization.ipynb | 0 ...ing_Beyond_Linearity.ipynb => 07_Moving_Beyond_Linearity.ipynb | 0 Chapter8_Tree_Based_Methods.ipynb => 08_Tree_Based_Methods.ipynb | 0 ...port_Vector_Machines.ipynb => 09_Support_Vector_Machines.ipynb | 0 ..._Unsupervised_Learning.ipynb => 10_Unsupervised_Learning.ipynb | 0 8 files changed, 0 insertions(+), 0 deletions(-) rename Chapter3_Linear_regression.ipynb => 03_Linear_regression.ipynb (100%) rename Chapter4_classification.ipynb => 04_classification.ipynb (100%) rename Chapter5_Resampling_Methods.ipynb => 05_Resampling_Methods.ipynb (100%) rename Chapter6_Linear_Model_Selection_and_Regularization.ipynb => 06_Linear_Model_Selection_and_Regularization.ipynb (100%) rename Chapter7_Moving_Beyond_Linearity.ipynb => 07_Moving_Beyond_Linearity.ipynb (100%) rename Chapter8_Tree_Based_Methods.ipynb => 08_Tree_Based_Methods.ipynb (100%) rename Chapter9_Support_Vector_Machines.ipynb => 09_Support_Vector_Machines.ipynb (100%) rename Chapter10_Unsupervised_Learning.ipynb => 10_Unsupervised_Learning.ipynb (100%) diff --git a/Chapter3_Linear_regression.ipynb b/03_Linear_regression.ipynb similarity index 100% rename from Chapter3_Linear_regression.ipynb rename to 03_Linear_regression.ipynb diff --git a/Chapter4_classification.ipynb b/04_classification.ipynb similarity index 100% rename from Chapter4_classification.ipynb rename to 04_classification.ipynb diff --git a/Chapter5_Resampling_Methods.ipynb b/05_Resampling_Methods.ipynb similarity index 100% rename from Chapter5_Resampling_Methods.ipynb rename to 05_Resampling_Methods.ipynb diff --git a/Chapter6_Linear_Model_Selection_and_Regularization.ipynb b/06_Linear_Model_Selection_and_Regularization.ipynb similarity index 100% rename from Chapter6_Linear_Model_Selection_and_Regularization.ipynb rename to 06_Linear_Model_Selection_and_Regularization.ipynb diff --git a/Chapter7_Moving_Beyond_Linearity.ipynb b/07_Moving_Beyond_Linearity.ipynb similarity index 100% rename from Chapter7_Moving_Beyond_Linearity.ipynb rename to 07_Moving_Beyond_Linearity.ipynb diff --git a/Chapter8_Tree_Based_Methods.ipynb b/08_Tree_Based_Methods.ipynb similarity index 100% rename from Chapter8_Tree_Based_Methods.ipynb rename to 08_Tree_Based_Methods.ipynb diff --git a/Chapter9_Support_Vector_Machines.ipynb b/09_Support_Vector_Machines.ipynb similarity index 100% rename from Chapter9_Support_Vector_Machines.ipynb rename to 09_Support_Vector_Machines.ipynb diff --git a/Chapter10_Unsupervised_Learning.ipynb b/10_Unsupervised_Learning.ipynb similarity index 100% rename from Chapter10_Unsupervised_Learning.ipynb rename to 10_Unsupervised_Learning.ipynb From cd874d862b03dac4b7afaf8267374acc1c20ecca Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 11 Sep 2021 12:35:34 +0200 Subject: [PATCH 04/32] update data to 2nd edition --- Data/.Rhistory | 23 - Data/Advertising.csv | 402 +- Data/Auto.data | 398 + Data/Bikeshare.csv | 8646 + Data/Boston.csv | 1014 +- Data/BrainCancer.csv | 89 + Data/Caravan.csv | 11646 +- Data/Carseats.csv | 802 +- Data/Ch12Ex13.csv | 1000 + Data/College.csv | 1556 +- Data/Credit.csv | 802 +- Data/Default.xlsx | Bin 462381 -> 0 bytes Data/Fund.csv | 51 + Data/Hitters.csv | 646 +- Data/Hitters_X_test.csv | 133 - Data/Hitters_X_train.csv | 132 - Data/Hitters_y_test.csv | 133 - Data/Hitters_y_train.csv | 132 - Data/Income1.csv | 31 + Data/Income2.csv | 31 + Data/Khan.json | 87 - Data/Khan.rda | Bin 636212 -> 0 bytes Data/Khan_xtest.csv | 21 - Data/Khan_xtrain.csv | 64 - Data/Khan_ytest.csv | 21 - Data/Khan_ytrain.csv | 64 - Data/NCI60.json | 437251 ------------------------------------ Data/NCI60.rda | Bin 717060 -> 0 bytes Data/NCI60_X.csv | 65 - Data/NCI60_y.csv | 65 - Data/Publication.csv | 245 + Data/Smarket.csv | 2502 +- Data/USArrests.csv | 51 - Data/Wage.csv | 6002 +- Data/datalist | 13 - 35 files changed, 23177 insertions(+), 450941 deletions(-) delete mode 100644 Data/.Rhistory create mode 100644 Data/Auto.data create mode 100644 Data/Bikeshare.csv create mode 100644 Data/BrainCancer.csv create mode 100644 Data/Ch12Ex13.csv delete mode 100644 Data/Default.xlsx create mode 100644 Data/Fund.csv delete mode 100644 Data/Hitters_X_test.csv delete mode 100644 Data/Hitters_X_train.csv delete mode 100644 Data/Hitters_y_test.csv delete mode 100644 Data/Hitters_y_train.csv create mode 100644 Data/Income1.csv create mode 100644 Data/Income2.csv delete mode 100644 Data/Khan.json delete mode 100644 Data/Khan.rda delete mode 100644 Data/Khan_xtest.csv delete mode 100644 Data/Khan_xtrain.csv delete mode 100644 Data/Khan_ytest.csv delete mode 100644 Data/Khan_ytrain.csv delete mode 100644 Data/NCI60.json delete mode 100644 Data/NCI60.rda delete mode 100644 Data/NCI60_X.csv delete mode 100644 Data/NCI60_y.csv create mode 100644 Data/Publication.csv delete mode 100644 Data/USArrests.csv delete mode 100644 Data/datalist diff --git a/Data/.Rhistory b/Data/.Rhistory deleted file mode 100644 index 8149e73..0000000 --- a/Data/.Rhistory +++ /dev/null @@ -1,23 +0,0 @@ -load("~/Desktop/ISL_python/data/Khan.rda") -cat(capture.output(print(Khan), file="test.txt") -setwd("~/Desktop/ISL_python/data") -setwd("~/Desktop/ISL_python/data") -cat(capture.output(print(Khan), file="test.txt") -setwd("~/Desktop/ISL_python/data") -print(head(Khan,2)) -lapply(Khan, write, "test.txt", append=TRUE, ncolumns=1000) -sink("mylist.txt") -print(Khan) -sink() -install.packages('rjson') -library(rjson) -install.packages('RJSONIO') -library(RJSONIO) -exportJSON <- toJSON(Khan) -write(exportJSON,"Khan.json") -load("~/Desktop/ISL_python/data/NCI60.rda") -exportJSON <- toJSON(NCI60) -write(exportJSON,"NCI60.json") -test = Khan$xtrain -View(test) -names(Khan) diff --git a/Data/Advertising.csv b/Data/Advertising.csv index 6acec72..9547f43 100644 --- a/Data/Advertising.csv +++ b/Data/Advertising.csv @@ -1,201 +1,201 @@ -"","TV","Radio","Newspaper","Sales" -"1",230.1,37.8,69.2,22.1 -"2",44.5,39.3,45.1,10.4 -"3",17.2,45.9,69.3,9.3 -"4",151.5,41.3,58.5,18.5 -"5",180.8,10.8,58.4,12.9 -"6",8.7,48.9,75,7.2 -"7",57.5,32.8,23.5,11.8 -"8",120.2,19.6,11.6,13.2 -"9",8.6,2.1,1,4.8 -"10",199.8,2.6,21.2,10.6 -"11",66.1,5.8,24.2,8.6 -"12",214.7,24,4,17.4 -"13",23.8,35.1,65.9,9.2 -"14",97.5,7.6,7.2,9.7 -"15",204.1,32.9,46,19 -"16",195.4,47.7,52.9,22.4 -"17",67.8,36.6,114,12.5 -"18",281.4,39.6,55.8,24.4 -"19",69.2,20.5,18.3,11.3 -"20",147.3,23.9,19.1,14.6 -"21",218.4,27.7,53.4,18 -"22",237.4,5.1,23.5,12.5 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"volvo 245" +13.0 8 318.0 150.0 3940. 13.2 76 1 "plymouth volare premier v8" +19.0 4 120.0 88.00 3270. 21.9 76 2 "peugeot 504" +19.0 6 156.0 108.0 2930. 15.5 76 3 "toyota mark ii" +16.5 6 168.0 120.0 3820. 16.7 76 2 "mercedes-benz 280s" +16.5 8 350.0 180.0 4380. 12.1 76 1 "cadillac seville" +13.0 8 350.0 145.0 4055. 12.0 76 1 "chevy c10" +13.0 8 302.0 130.0 3870. 15.0 76 1 "ford f108" +13.0 8 318.0 150.0 3755. 14.0 76 1 "dodge d100" +31.5 4 98.00 68.00 2045. 18.5 77 3 "honda accord cvcc" +30.0 4 111.0 80.00 2155. 14.8 77 1 "buick opel isuzu deluxe" +36.0 4 79.00 58.00 1825. 18.6 77 2 "renault 5 gtl" +25.5 4 122.0 96.00 2300. 15.5 77 1 "plymouth arrow gs" +33.5 4 85.00 70.00 1945. 16.8 77 3 "datsun f-10 hatchback" +17.5 8 305.0 145.0 3880. 12.5 77 1 "chevrolet caprice classic" +17.0 8 260.0 110.0 4060. 19.0 77 1 "oldsmobile cutlass supreme" +15.5 8 318.0 145.0 4140. 13.7 77 1 "dodge monaco brougham" +15.0 8 302.0 130.0 4295. 14.9 77 1 "mercury cougar brougham" +17.5 6 250.0 110.0 3520. 16.4 77 1 "chevrolet concours" +20.5 6 231.0 105.0 3425. 16.9 77 1 "buick skylark" +19.0 6 225.0 100.0 3630. 17.7 77 1 "plymouth volare custom" +18.5 6 250.0 98.00 3525. 19.0 77 1 "ford granada" +16.0 8 400.0 180.0 4220. 11.1 77 1 "pontiac grand prix lj" +15.5 8 350.0 170.0 4165. 11.4 77 1 "chevrolet monte carlo landau" +15.5 8 400.0 190.0 4325. 12.2 77 1 "chrysler cordoba" +16.0 8 351.0 149.0 4335. 14.5 77 1 "ford thunderbird" +29.0 4 97.00 78.00 1940. 14.5 77 2 "volkswagen rabbit custom" +24.5 4 151.0 88.00 2740. 16.0 77 1 "pontiac sunbird coupe" +26.0 4 97.00 75.00 2265. 18.2 77 3 "toyota corolla liftback" +25.5 4 140.0 89.00 2755. 15.8 77 1 "ford mustang ii 2+2" +30.5 4 98.00 63.00 2051. 17.0 77 1 "chevrolet chevette" +33.5 4 98.00 83.00 2075. 15.9 77 1 "dodge colt m/m" +30.0 4 97.00 67.00 1985. 16.4 77 3 "subaru dl" +30.5 4 97.00 78.00 2190. 14.1 77 2 "volkswagen dasher" +22.0 6 146.0 97.00 2815. 14.5 77 3 "datsun 810" +21.5 4 121.0 110.0 2600. 12.8 77 2 "bmw 320i" +21.5 3 80.00 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98.00 68.00 2135. 16.6 78 3 "honda accord lx" +21.5 6 231.0 115.0 3245. 15.4 79 1 "pontiac lemans v6" +19.8 6 200.0 85.00 2990. 18.2 79 1 "mercury zephyr 6" +22.3 4 140.0 88.00 2890. 17.3 79 1 "ford fairmont 4" +20.2 6 232.0 90.00 3265. 18.2 79 1 "amc concord dl 6" +20.6 6 225.0 110.0 3360. 16.6 79 1 "dodge aspen 6" +17.0 8 305.0 130.0 3840. 15.4 79 1 "chevrolet caprice classic" +17.6 8 302.0 129.0 3725. 13.4 79 1 "ford ltd landau" +16.5 8 351.0 138.0 3955. 13.2 79 1 "mercury grand marquis" +18.2 8 318.0 135.0 3830. 15.2 79 1 "dodge st. regis" +16.9 8 350.0 155.0 4360. 14.9 79 1 "buick estate wagon (sw)" +15.5 8 351.0 142.0 4054. 14.3 79 1 "ford country squire (sw)" +19.2 8 267.0 125.0 3605. 15.0 79 1 "chevrolet malibu classic (sw)" +18.5 8 360.0 150.0 3940. 13.0 79 1 "chrysler lebaron town @ country (sw)" +31.9 4 89.00 71.00 1925. 14.0 79 2 "vw rabbit custom" +34.1 4 86.00 65.00 1975. 15.2 79 3 "maxda glc deluxe" +35.7 4 98.00 80.00 1915. 14.4 79 1 "dodge colt hatchback custom" +27.4 4 121.0 80.00 2670. 15.0 79 1 "amc spirit dl" +25.4 5 183.0 77.00 3530. 20.1 79 2 "mercedes benz 300d" +23.0 8 350.0 125.0 3900. 17.4 79 1 "cadillac eldorado" +27.2 4 141.0 71.00 3190. 24.8 79 2 "peugeot 504" +23.9 8 260.0 90.00 3420. 22.2 79 1 "oldsmobile cutlass salon brougham" +34.2 4 105.0 70.00 2200. 13.2 79 1 "plymouth horizon" +34.5 4 105.0 70.00 2150. 14.9 79 1 "plymouth horizon tc3" +31.8 4 85.00 65.00 2020. 19.2 79 3 "datsun 210" +37.3 4 91.00 69.00 2130. 14.7 79 2 "fiat strada custom" +28.4 4 151.0 90.00 2670. 16.0 79 1 "buick skylark limited" +28.8 6 173.0 115.0 2595. 11.3 79 1 "chevrolet citation" +26.8 6 173.0 115.0 2700. 12.9 79 1 "oldsmobile omega brougham" +33.5 4 151.0 90.00 2556. 13.2 79 1 "pontiac phoenix" +41.5 4 98.00 76.00 2144. 14.7 80 2 "vw rabbit" +38.1 4 89.00 60.00 1968. 18.8 80 3 "toyota corolla tercel" +32.1 4 98.00 70.00 2120. 15.5 80 1 "chevrolet chevette" +37.2 4 86.00 65.00 2019. 16.4 80 3 "datsun 310" +28.0 4 151.0 90.00 2678. 16.5 80 1 "chevrolet citation" +26.4 4 140.0 88.00 2870. 18.1 80 1 "ford fairmont" +24.3 4 151.0 90.00 3003. 20.1 80 1 "amc concord" +19.1 6 225.0 90.00 3381. 18.7 80 1 "dodge aspen" +34.3 4 97.00 78.00 2188. 15.8 80 2 "audi 4000" +29.8 4 134.0 90.00 2711. 15.5 80 3 "toyota corona liftback" +31.3 4 120.0 75.00 2542. 17.5 80 3 "mazda 626" +37.0 4 119.0 92.00 2434. 15.0 80 3 "datsun 510 hatchback" +32.2 4 108.0 75.00 2265. 15.2 80 3 "toyota corolla" +46.6 4 86.00 65.00 2110. 17.9 80 3 "mazda glc" +27.9 4 156.0 105.0 2800. 14.4 80 1 "dodge colt" +40.8 4 85.00 65.00 2110. 19.2 80 3 "datsun 210" +44.3 4 90.00 48.00 2085. 21.7 80 2 "vw rabbit c (diesel)" +43.4 4 90.00 48.00 2335. 23.7 80 2 "vw dasher (diesel)" +36.4 5 121.0 67.00 2950. 19.9 80 2 "audi 5000s (diesel)" +30.0 4 146.0 67.00 3250. 21.8 80 2 "mercedes-benz 240d" +44.6 4 91.00 67.00 1850. 13.8 80 3 "honda civic 1500 gl" +40.9 4 85.00 ? 1835. 17.3 80 2 "renault lecar deluxe" +33.8 4 97.00 67.00 2145. 18.0 80 3 "subaru dl" +29.8 4 89.00 62.00 1845. 15.3 80 2 "vokswagen rabbit" +32.7 6 168.0 132.0 2910. 11.4 80 3 "datsun 280-zx" +23.7 3 70.00 100.0 2420. 12.5 80 3 "mazda rx-7 gs" +35.0 4 122.0 88.00 2500. 15.1 80 2 "triumph tr7 coupe" +23.6 4 140.0 ? 2905. 14.3 80 1 "ford mustang cobra" +32.4 4 107.0 72.00 2290. 17.0 80 3 "honda accord" +27.2 4 135.0 84.00 2490. 15.7 81 1 "plymouth reliant" +26.6 4 151.0 84.00 2635. 16.4 81 1 "buick skylark" +25.8 4 156.0 92.00 2620. 14.4 81 1 "dodge aries wagon (sw)" +23.5 6 173.0 110.0 2725. 12.6 81 1 "chevrolet citation" +30.0 4 135.0 84.00 2385. 12.9 81 1 "plymouth reliant" +39.1 4 79.00 58.00 1755. 16.9 81 3 "toyota starlet" +39.0 4 86.00 64.00 1875. 16.4 81 1 "plymouth champ" +35.1 4 81.00 60.00 1760. 16.1 81 3 "honda civic 1300" +32.3 4 97.00 67.00 2065. 17.8 81 3 "subaru" +37.0 4 85.00 65.00 1975. 19.4 81 3 "datsun 210 mpg" +37.7 4 89.00 62.00 2050. 17.3 81 3 "toyota tercel" +34.1 4 91.00 68.00 1985. 16.0 81 3 "mazda glc 4" +34.7 4 105.0 63.00 2215. 14.9 81 1 "plymouth horizon 4" +34.4 4 98.00 65.00 2045. 16.2 81 1 "ford escort 4w" +29.9 4 98.00 65.00 2380. 20.7 81 1 "ford escort 2h" +33.0 4 105.0 74.00 2190. 14.2 81 2 "volkswagen jetta" +34.5 4 100.0 ? 2320. 15.8 81 2 "renault 18i" +33.7 4 107.0 75.00 2210. 14.4 81 3 "honda prelude" +32.4 4 108.0 75.00 2350. 16.8 81 3 "toyota corolla" +32.9 4 119.0 100.0 2615. 14.8 81 3 "datsun 200sx" +31.6 4 120.0 74.00 2635. 18.3 81 3 "mazda 626" +28.1 4 141.0 80.00 3230. 20.4 81 2 "peugeot 505s turbo diesel" +30.7 6 145.0 76.00 3160. 19.6 81 2 "volvo diesel" +25.4 6 168.0 116.0 2900. 12.6 81 3 "toyota cressida" +24.2 6 146.0 120.0 2930. 13.8 81 3 "datsun 810 maxima" +22.4 6 231.0 110.0 3415. 15.8 81 1 "buick century" +26.6 8 350.0 105.0 3725. 19.0 81 1 "oldsmobile cutlass ls" +20.2 6 200.0 88.00 3060. 17.1 81 1 "ford granada gl" +17.6 6 225.0 85.00 3465. 16.6 81 1 "chrysler lebaron salon" +28.0 4 112.0 88.00 2605. 19.6 82 1 "chevrolet cavalier" +27.0 4 112.0 88.00 2640. 18.6 82 1 "chevrolet cavalier wagon" +34.0 4 112.0 88.00 2395. 18.0 82 1 "chevrolet cavalier 2-door" +31.0 4 112.0 85.00 2575. 16.2 82 1 "pontiac j2000 se hatchback" +29.0 4 135.0 84.00 2525. 16.0 82 1 "dodge aries se" +27.0 4 151.0 90.00 2735. 18.0 82 1 "pontiac phoenix" +24.0 4 140.0 92.00 2865. 16.4 82 1 "ford fairmont futura" +36.0 4 105.0 74.00 1980. 15.3 82 2 "volkswagen rabbit l" +37.0 4 91.00 68.00 2025. 18.2 82 3 "mazda glc custom l" +31.0 4 91.00 68.00 1970. 17.6 82 3 "mazda glc custom" +38.0 4 105.0 63.00 2125. 14.7 82 1 "plymouth horizon miser" +36.0 4 98.00 70.00 2125. 17.3 82 1 "mercury lynx l" +36.0 4 120.0 88.00 2160. 14.5 82 3 "nissan stanza xe" +36.0 4 107.0 75.00 2205. 14.5 82 3 "honda accord" +34.0 4 108.0 70.00 2245 16.9 82 3 "toyota corolla" +38.0 4 91.00 67.00 1965. 15.0 82 3 "honda civic" +32.0 4 91.00 67.00 1965. 15.7 82 3 "honda civic (auto)" +38.0 4 91.00 67.00 1995. 16.2 82 3 "datsun 310 gx" +25.0 6 181.0 110.0 2945. 16.4 82 1 "buick century limited" +38.0 6 262.0 85.00 3015. 17.0 82 1 "oldsmobile cutlass ciera (diesel)" 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glioma","Supratentorial",90,10.8,"SRT",0,82.56 +"19","Male","Meningioma","Supratentorial",80,13.49,"SRS",1,6.92 +"20","Female","Meningioma","Supratentorial",90,2.5,"SRT",0,30.16 +"21","Female","Meningioma","Supratentorial",80,2.82,"SRS",0,24.39 +"22","Male","HG glioma","Supratentorial",70,14.44,"SRT",1,14 +"23","Female","Other","Infratentorial",80,2.11,"SRS",0,10.49 +"24","Female","Meningioma","Infratentorial",100,2.13,"SRS",1,51.02 +"25","Female","Meningioma","Supratentorial",70,6.48,"SRT",1,33.41 +"26","Male","LG glioma","Supratentorial",90,4.23,"SRT",1,25.02 +"27","Male","Other","Supratentorial",60,34.64,"SRT",1,11.57 +"28","Male","HG glioma","Supratentorial",70,33.69,"SRT",1,0.07 +"29","Male","Meningioma","Supratentorial",60,3.81,"SRT",0,36.1 +"30","Female","Meningioma","Supratentorial",90,4.72,"SRS",0,65.02 +"31","Female","LG glioma","Supratentorial",80,0.85,"SRS",1,6.1 +"32","Male","Meningioma","Supratentorial",90,2.56,"SRS",0,44.39 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+"48","Female","Meningioma","Supratentorial",80,26.31,"SRT",1,39.54 +"49","Male","Meningioma","Supratentorial",70,0.97,"SRT",1,1.41 +"50","Female","LG glioma","Supratentorial",80,0.19,"SRS",0,11.51 +"51","Female","HG glioma","Supratentorial",90,0.04,"SRT",0,31.67 +"52","Female","Meningioma","Infratentorial",90,9.24,"SRT",0,26.85 +"53","Male","HG glioma","Supratentorial",90,2.5,"SRT",1,9.77 +"54","Male","Meningioma","Infratentorial",80,24.41,"SRT",0,39.54 +"55","Female","HG glioma","Supratentorial",80,0.63,"SRT",1,16.92 +"56","Male","Other","Infratentorial",90,0.48,"SRS",0,54.43 +"57","Male","HG glioma","Infratentorial",80,0.22,"SRS",0,33.67 +"58","Male","HG glioma","Supratentorial",80,3.75,"SRT",1,19.9 +"59","Female","Other","Supratentorial",80,11.83,"SRT",1,22.03 +"60","Female","Meningioma","Supratentorial",90,2.47,"SRT",0,17.57 +"61","Female","HG glioma","Supratentorial",80,12.08,"SRT",1,7.25 +"62","Male","Meningioma","Supratentorial",80,11.51,"SRT",1,14.62 +"63","Female","HG glioma","Supratentorial",40,22.87,"SRT",1,3.38 +"64","Male","Meningioma","Supratentorial",80,4.77,"SRT",0,67.38 +"65","Male","LG glioma","Supratentorial",80,9.58,"SRT",0,78.75 +"66","Female","Meningioma","Supratentorial",100,4,"SRT",0,52.23 +"67","Female","HG glioma","Supratentorial",80,7.59,"SRT",1,4.56 +"68","Male","Other","Infratentorial",70,0.01,"SRS",0,23.67 +"69","Female","Meningioma","Supratentorial",80,6.93,"SRS",0,10.1 +"70","Female","Meningioma","Supratentorial",70,3.63,"SRT",0,32.82 +"71","Male","Meningioma","Supratentorial",70,8.45,"SRT",0,19.41 +"72","Male","Meningioma","Supratentorial",80,20.93,"SRT",1,31.15 +"73","Male","LG glioma","Supratentorial",90,2.64,"SRT",0,20.13 +"74","Female","HG glioma","Supratentorial",80,0.19,"SRT",1,11.02 +"75","Male","Other","Supratentorial",100,24.91,"SRT",0,19.74 +"76","Female","Meningioma","Supratentorial",80,31.74,"SRT",0,57.25 +"77","Female","Meningioma","Supratentorial",80,2.39,"SRS",0,73.74 +"78","Female","Meningioma","Supratentorial",90,7.26,"SRT",0,49.05 +"79","Female","Meningioma","Supratentorial",100,9.66,"SRT",0,39.25 +"80","Female","Meningioma","Infratentorial",70,2.94,"SRS",0,1.54 +"81","Female","HG glioma","Supratentorial",80,15.45,"SRT",1,46.16 +"82","Female","Other","Supratentorial",90,1.82,"SRT",0,47.11 +"83","Male","LG glioma","Infratentorial",90,30.41,"SRT",0,1.18 +"84","Male","HG glioma","Supratentorial",80,0.16,"SRT",1,20.69 +"85","Male","HG glioma","Supratentorial",80,19.81,"SRT",1,6.39 +"86","Male","Meningioma","Supratentorial",90,2.5,"SRT",0,32.82 +"87","Male","Meningioma","Supratentorial",90,2.02,"SRS",0,42.07 +"88","Male","Other","Infratentorial",80,0.11,"SRT",0,13.9 diff --git a/Data/Caravan.csv b/Data/Caravan.csv index a34e67c..c437d7c 100644 --- a/Data/Caravan.csv +++ b/Data/Caravan.csv @@ -1,5823 +1,5823 @@ -"","MOSTYPE","MAANTHUI","MGEMOMV","MGEMLEEF","MOSHOOFD","MGODRK","MGODPR","MGODOV","MGODGE","MRELGE","MRELSA","MRELOV","MFALLEEN","MFGEKIND","MFWEKIND","MOPLHOOG","MOPLMIDD","MOPLLAAG","MBERHOOG","MBERZELF","MBERBOER","MBERMIDD","MBERARBG","MBERARBO","MSKA","MSKB1","MSKB2","MSKC","MSKD","MHHUUR","MHKOOP","MAUT1","MAUT2","MAUT0","MZFONDS","MZPART","MINKM30","MINK3045","MINK4575","MINK7512","MINK123M","MINKGEM","MKOOPKLA","PWAPART","PWABEDR","PWALAND","PPERSAUT","PBESAUT","PMOTSCO","PVRAAUT","PAANHANG","PTRACTOR","PWERKT","PBROM","PLEVEN","PPERSONG","PGEZONG","PWAOREG","PBRAND","PZEILPL","PPLEZIER","PFIETS","PINBOED","PBYSTAND","AWAPART","AWABEDR","AWALAND","APERSAUT","ABESAUT","AMOTSCO","AVRAAUT","AAANHANG","ATRACTOR","AWERKT","ABROM","ALEVEN","APERSONG","AGEZONG","AWAOREG","ABRAND","AZEILPL","APLEZIER","AFIETS","AINBOED","ABYSTAND","Purchase" -"1",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2",37,1,2,2,8,1,4,1,4,6,2,2,0,4,5,0,5,4,0,0,0,5,0,4,0,2,3,5,0,2,7,7,1,2,6,3,2,0,5,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4",9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5",40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"6",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"7",39,2,3,2,9,2,2,0,5,7,2,0,0,3,6,0,4,5,0,0,0,4,1,5,0,1,4,5,0,6,3,8,0,1,9,0,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"8",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"9",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"10",11,2,3,3,3,3,5,0,2,7,0,2,2,2,6,0,4,5,2,0,0,3,3,3,1,2,1,4,2,0,9,6,1,2,6,3,2,3,3,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"11",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"12",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"13",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"14",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"15",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"16",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"17",38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"18",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"19",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"20",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"21",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"22",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"23",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"24",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"25",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"26",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"27",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"28",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"29",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"30",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"31",24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"32",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"33",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"34",38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"35",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"36",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" -"37",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"38",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"39",39,1,3,2,9,0,6,0,3,6,0,3,0,0,9,0,3,6,2,0,0,2,5,2,0,2,4,4,0,7,2,3,6,0,6,3,7,0,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"40",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"41",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"42",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,"Yes" -"43",8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"44",33,1,2,4,8,0,5,0,4,8,0,1,1,7,2,2,2,6,2,0,3,2,2,2,2,1,3,4,1,6,3,6,0,3,7,2,4,2,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"45",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"46",38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"47",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"48",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"49",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"50",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"51",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"52",25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"53",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"54",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"55",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"56",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"57",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"58",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" -"59",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"60",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"61",30,1,2,4,7,0,5,3,2,4,1,4,5,4,1,2,4,3,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"62",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"63",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"64",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"65",11,1,1,3,3,4,0,0,5,0,2,7,7,2,1,0,7,2,0,0,0,3,0,6,0,3,4,0,2,8,1,2,0,7,7,2,6,3,0,2,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"66",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"67",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"68",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"69",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"70",29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"71",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"72",25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"73",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"74",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"75",11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"76",3,1,3,4,1,0,5,2,2,7,0,2,2,4,4,0,4,5,1,0,0,3,2,5,0,1,4,3,2,2,7,6,0,3,8,1,2,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"77",38,1,2,3,9,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"78",11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"79",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"80",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"81",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"82",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"83",1,1,3,3,1,6,0,0,3,8,0,1,1,4,5,5,4,2,6,1,0,3,1,0,6,2,1,2,0,0,9,7,2,1,1,8,1,0,3,5,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"84",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"85",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"86",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"87",1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"88",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"89",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"90",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"91",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"92",8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"93",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"94",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"95",39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"96",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"97",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"98",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"99",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"100",24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"101",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"102",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"103",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"104",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"105",37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"106",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"107",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"108",23,1,2,2,5,3,3,0,4,6,0,3,4,2,4,3,5,2,3,1,0,2,2,2,4,2,1,2,1,6,3,7,1,1,2,7,2,3,3,3,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"109",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"110",36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"111",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"112",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"113",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"114",34,2,4,3,8,2,4,2,3,7,0,2,1,3,5,4,5,0,4,1,0,3,0,3,4,2,4,0,0,8,1,6,3,0,0,9,0,4,4,1,1,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"115",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"116",22,3,2,4,5,2,2,3,4,4,2,4,5,4,2,3,2,5,5,0,0,4,1,0,2,2,1,4,1,8,1,1,2,6,8,1,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"117",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"118",33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"119",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,"No" -"120",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"121",37,1,3,3,8,3,3,0,3,7,2,1,1,6,3,0,2,7,1,0,0,2,3,4,0,2,1,7,1,6,3,7,1,2,7,2,5,3,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"122",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"123",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"124",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"125",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"126",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"127",36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"128",3,1,2,4,1,0,4,4,2,6,0,3,3,4,3,7,2,0,7,0,0,2,0,1,7,2,0,0,0,0,9,5,4,0,3,6,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"129",25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"130",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"131",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,"No" -"132",37,1,2,3,8,0,5,2,3,5,2,3,2,6,1,1,3,5,2,1,0,3,1,4,1,1,2,3,3,4,5,7,1,2,6,3,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"133",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"134",8,2,3,3,2,0,6,2,2,9,0,0,0,4,5,2,4,4,5,0,0,4,0,0,5,0,0,4,0,2,7,7,2,0,6,3,5,2,0,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"135",7,1,3,2,2,0,0,0,9,5,4,0,0,4,5,3,6,0,3,0,0,6,0,0,3,2,4,0,0,0,9,6,3,0,6,3,0,3,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"136",29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"137",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"138",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"139",1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"140",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"141",26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"142",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"143",34,1,4,3,8,0,2,0,7,7,0,2,0,3,6,1,6,3,0,0,0,4,3,2,0,4,2,4,0,0,9,6,1,2,5,4,0,1,6,3,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"144",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"145",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"146",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"147",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"148",8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"149",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,2,1,0,0,0,0,0,"No" -"150",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"151",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"152",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"153",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"154",12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"155",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"156",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"157",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"158",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"159",32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"160",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"161",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"162",9,1,3,3,3,2,3,2,4,8,1,1,1,5,4,2,1,7,2,0,0,3,3,2,2,1,1,7,0,9,0,6,2,2,7,2,2,3,2,4,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"163",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"164",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"165",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,5,0,0,0,0,3,0,6,0,0,0,0,4,0,0,0,1,0,0,0,0,2,0,0,0,0,1,0,2,0,0,0,0,1,"No" -"166",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,4,5,0,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"167",38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"168",37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"169",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"170",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"171",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"172",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"173",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"174",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"175",34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"176",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"177",9,1,3,3,3,2,2,3,4,7,1,2,2,2,5,4,3,3,2,0,0,4,2,2,2,3,2,3,0,9,0,5,1,4,4,5,1,3,5,1,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"178",8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"179",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"180",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,6,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"181",10,1,3,2,3,1,2,2,6,9,0,0,0,3,6,3,4,2,4,0,0,3,2,1,4,2,2,3,0,0,9,6,2,2,5,4,0,3,4,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"182",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"183",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"184",3,1,2,3,1,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"185",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"186",25,1,1,3,6,3,2,1,4,1,0,8,7,1,1,1,4,5,1,1,2,3,0,5,2,1,3,3,2,8,1,1,1,8,6,3,5,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"187",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"188",38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"189",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"190",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"191",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"192",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"193",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"194",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"195",36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"196",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"197",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"198",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"199",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"200",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"201",22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"202",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"203",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"204",38,1,3,2,9,1,0,1,7,4,1,4,1,1,8,4,4,2,4,1,0,2,2,3,2,1,5,2,0,6,3,6,0,3,6,3,3,2,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"205",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"206",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"207",24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,8,0,6,0,0,0,0,0,0,0,0,0,4,0,4,0,2,0,0,0,0,7,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,"No" -"208",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"209",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"210",9,1,3,3,3,1,2,0,7,5,2,3,2,4,4,2,5,3,4,0,0,0,1,4,2,1,5,2,0,9,0,4,3,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"211",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"212",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"213",37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"214",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"215",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"216",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,4,6,0,0,0,2,3,2,0,0,2,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,1,0,0,3,0,0,0,0,0,"No" -"217",33,1,2,4,8,3,6,0,0,5,0,4,4,3,3,0,3,6,0,0,0,5,4,0,0,3,0,6,0,0,9,3,3,4,9,0,4,0,3,3,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"218",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"219",13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"220",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"221",31,1,2,3,7,0,0,2,7,8,0,1,1,6,3,0,3,6,0,0,0,4,3,2,0,1,2,6,0,7,2,7,0,2,7,2,1,8,0,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"222",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"223",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"224",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"225",24,1,2,4,5,1,4,1,5,6,1,2,3,4,3,1,4,5,1,0,0,3,1,6,1,1,2,5,2,4,6,5,1,4,8,1,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"226",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"227",10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"228",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"229",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"230",36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"231",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"232",8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"233",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"234",31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"235",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"236",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"237",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"238",39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"239",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"240",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"241",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"242",10,1,3,3,3,0,4,1,5,7,1,2,2,4,4,4,3,3,3,1,0,4,1,2,3,3,1,3,1,6,3,6,2,2,3,6,2,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"243",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"244",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"245",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"246",38,1,2,1,9,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"247",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"248",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"249",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"250",38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"251",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"252",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"253",16,1,2,2,4,0,3,0,6,2,3,4,2,6,1,6,1,3,1,0,0,3,2,4,1,1,5,2,2,7,2,7,0,2,4,5,4,5,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"254",38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,0,3,0,6,0,0,0,0,5,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,2,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,"Yes" -"255",36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"256",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"257",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"258",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"259",37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"260",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"261",11,1,2,3,3,0,0,0,9,5,2,2,2,5,2,2,4,4,3,0,3,0,0,3,3,0,3,4,0,2,7,7,2,0,6,3,5,0,0,4,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"262",10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"263",4,1,1,3,1,5,3,0,2,6,0,3,8,1,0,8,1,1,4,0,0,4,0,1,5,3,0,2,0,8,1,5,2,2,3,6,1,1,4,4,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"264",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"265",22,1,2,3,5,1,5,0,3,4,0,5,5,3,2,1,4,5,1,0,0,4,4,2,1,3,1,5,1,7,2,4,2,3,6,3,5,1,1,3,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"266",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"267",5,1,3,3,1,1,3,1,5,5,2,3,2,3,4,1,3,5,2,0,0,3,3,3,2,1,2,4,2,5,4,6,1,3,7,2,3,3,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"268",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"269",10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"270",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"271",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"272",33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"273",38,1,2,4,9,1,3,1,6,7,1,2,5,3,1,2,4,4,3,0,0,4,3,0,0,4,0,3,3,2,7,5,1,3,7,2,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"274",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"275",1,1,2,4,1,1,6,1,3,5,0,4,0,5,4,0,4,5,5,0,0,4,0,0,0,3,6,0,0,4,5,5,2,4,4,5,2,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"276",33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"277",23,1,2,3,5,2,4,2,3,2,2,5,4,3,2,2,2,5,2,1,0,4,0,4,2,2,2,4,2,9,0,2,0,7,7,2,6,2,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"278",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"279",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"280",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"281",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"282",8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"283",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"284",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"285",41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"286",41,1,3,3,10,0,6,0,3,7,0,2,4,1,5,3,2,4,1,2,4,1,1,2,3,1,4,3,1,1,8,6,3,0,5,4,4,4,1,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"287",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"288",3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"289",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"290",9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"291",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"292",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"293",21,1,3,2,5,3,4,0,3,4,3,3,0,4,5,0,4,5,3,0,0,2,5,1,2,0,2,6,0,9,0,5,0,4,9,0,6,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"294",3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"295",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"296",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"297",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"298",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"299",32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"300",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"301",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"302",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"303",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"304",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"305",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"306",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"307",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"308",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"309",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"310",13,1,3,3,3,3,2,1,4,5,2,3,2,0,7,1,3,5,2,0,0,3,2,3,0,2,2,6,0,7,2,4,2,3,5,4,2,2,4,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"311",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"312",16,1,2,2,4,1,3,0,6,1,2,6,6,2,1,7,1,2,0,0,0,3,4,3,0,1,7,2,1,6,3,4,1,5,4,5,8,0,1,0,0,1,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"313",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"314",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"315",3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"316",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"317",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"318",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"319",35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"320",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"321",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"322",33,1,3,3,8,2,6,1,2,6,2,2,0,3,6,3,5,2,2,0,0,2,2,4,2,2,4,3,0,0,9,5,2,3,6,3,2,3,2,4,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"323",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"324",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"325",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"326",35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,4,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" -"327",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"328",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"329",39,1,3,2,9,0,8,0,1,8,0,1,2,2,5,2,4,4,2,0,0,3,4,1,1,3,4,3,0,8,1,8,1,0,6,3,3,3,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"330",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"331",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"332",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"333",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"334",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"335",16,1,2,1,4,2,1,0,6,1,3,6,6,2,2,7,2,0,4,0,0,5,0,0,2,3,5,0,0,9,0,3,1,5,3,6,5,3,2,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"336",12,1,4,2,3,0,4,0,5,9,0,0,0,2,7,0,5,4,2,0,0,2,3,3,1,2,2,4,1,1,8,5,2,2,8,1,2,1,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"337",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,"Yes" -"338",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"339",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,3,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,1,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"340",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"341",10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,3,0,3,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"342",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"343",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"344",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"345",37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"346",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"347",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"348",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"349",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"350",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"351",41,1,3,3,10,3,2,1,5,7,0,2,2,4,4,2,4,3,2,1,1,2,2,3,2,2,2,3,1,5,4,7,2,0,4,5,3,2,3,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"352",36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"353",6,1,4,3,2,4,0,5,0,5,4,0,0,2,7,3,4,3,3,0,0,5,0,2,2,2,2,4,0,3,6,9,0,0,0,9,0,3,6,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"354",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"355",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"356",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"357",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"358",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"359",8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"360",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"361",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"362",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"363",41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"364",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"365",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"366",32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"367",32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"368",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"369",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"370",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"371",8,1,3,3,2,0,4,4,2,5,3,2,0,4,5,2,7,0,4,0,0,4,0,2,4,3,2,0,0,3,6,4,4,2,5,4,4,5,0,0,0,3,7,0,4,0,6,6,6,0,0,0,0,0,4,0,0,6,6,0,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,"No" -"372",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"373",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"374",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"375",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"376",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"377",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"378",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"379",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"380",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"381",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"382",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"383",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"384",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"385",34,1,3,3,8,1,3,3,4,6,0,3,2,1,6,3,4,2,3,0,0,4,1,3,3,3,2,2,1,2,7,5,2,2,4,5,1,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"386",18,1,2,3,4,4,5,0,0,3,2,5,1,7,1,8,1,1,2,0,0,6,2,0,1,1,7,1,0,1,8,3,0,6,6,3,2,0,7,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"387",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"388",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"389",37,1,2,4,8,2,3,0,4,4,2,3,3,3,3,2,3,5,2,2,0,4,2,2,1,2,2,4,2,6,3,4,1,5,7,2,4,3,2,2,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"390",6,1,4,3,2,2,1,0,6,8,0,1,0,0,9,2,6,1,2,0,0,4,1,3,2,5,3,1,0,0,9,5,4,0,2,7,0,0,3,4,2,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"391",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"392",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"393",34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"394",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"395",2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"396",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"397",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"398",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"399",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"400",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"401",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"402",36,1,2,4,8,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"403",41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"404",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"405",36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"406",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"407",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,"No" -"408",4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"409",34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"410",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"411",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"412",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"413",2,1,2,3,1,9,0,0,0,9,0,0,0,0,9,4,5,0,5,4,0,0,0,0,9,0,0,0,0,0,9,3,6,0,3,6,0,0,0,9,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"414",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"415",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"416",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"417",2,1,4,2,1,0,0,0,9,4,0,5,0,0,9,5,4,0,3,5,0,0,3,0,0,0,5,4,0,9,0,2,3,5,3,6,3,0,4,2,2,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"418",8,1,3,3,2,3,3,1,4,6,1,3,0,3,6,3,2,4,3,0,0,2,4,0,2,0,0,4,3,3,6,6,1,3,6,3,0,0,5,0,4,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"419",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"420",12,1,3,2,3,0,5,1,3,6,0,3,2,1,6,1,4,4,1,0,0,5,2,3,1,3,2,4,0,3,6,8,1,0,6,3,5,3,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"421",30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" -"422",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"423",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"424",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"425",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"426",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"427",38,2,3,2,9,0,6,0,3,6,2,2,1,4,5,1,6,3,1,0,0,3,3,3,1,3,2,5,0,4,5,8,0,1,8,1,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"428",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"429",23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"430",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"431",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"432",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"433",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"434",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"435",38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"436",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"437",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"438",36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"439",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"440",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"441",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"442",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"443",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"444",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"445",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" -"446",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"447",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"448",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"449",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"450",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"451",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"452",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"453",16,1,1,1,4,1,4,1,5,1,2,7,6,3,0,3,6,0,1,1,0,4,2,3,0,0,5,4,0,9,0,3,1,5,6,3,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"454",38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"455",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"456",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"457",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"458",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"459",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"460",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"461",3,1,3,3,1,2,4,1,3,6,1,3,6,0,3,4,4,2,3,0,1,4,0,2,3,4,2,1,0,0,9,6,1,3,5,4,0,3,5,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"462",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"463",35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"464",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"465",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"466",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"467",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"468",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"469",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"470",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"471",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"472",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"473",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"474",33,1,2,3,8,4,4,0,2,9,0,0,3,2,4,1,2,6,2,0,0,2,4,2,1,1,3,3,3,2,7,5,2,2,5,4,3,3,3,2,0,4,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"475",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"476",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"477",8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"478",24,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"479",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"480",26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"481",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"482",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"483",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"484",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"485",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"486",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"487",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"488",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"489",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"490",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"491",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"492",6,1,3,3,2,0,2,0,7,3,4,2,2,3,5,2,2,5,0,0,0,4,5,0,1,0,4,4,1,2,7,6,3,0,7,2,3,3,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"493",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"494",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"495",24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"496",24,1,3,2,5,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"497",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"498",11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"499",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"500",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"501",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"502",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"503",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"504",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"505",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"506",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"507",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"508",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"509",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"510",40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"511",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"512",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"513",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"514",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"515",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"516",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"517",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"518",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"519",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"520",35,1,2,4,8,2,4,2,2,9,0,0,4,2,4,1,6,3,3,1,0,3,2,2,1,3,2,4,0,4,5,9,0,0,5,4,1,7,1,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"521",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"522",25,2,1,4,6,0,9,0,0,2,0,7,4,3,3,0,4,5,2,0,0,4,2,2,0,2,3,3,2,9,0,2,0,7,9,0,4,4,0,1,0,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"523",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"524",22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"525",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"526",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"527",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"528",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"529",38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"530",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"531",32,1,2,3,7,1,5,2,2,6,1,2,2,4,4,1,6,2,3,0,1,3,1,2,2,3,2,2,2,5,4,5,2,3,5,4,3,3,3,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"532",5,1,3,3,1,0,5,0,4,8,0,1,3,3,3,1,3,6,1,1,6,2,1,0,3,1,3,2,2,4,5,7,2,0,5,4,3,3,4,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"533",24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"534",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"535",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"536",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"537",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"538",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"539",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"540",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"541",35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"542",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"543",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"544",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"545",25,1,1,5,6,0,4,2,4,3,0,6,6,3,0,2,7,0,2,0,0,7,0,0,3,5,2,0,0,9,0,5,0,4,2,7,2,0,7,0,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"546",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"547",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"548",33,1,4,2,8,0,6,0,3,6,0,3,3,0,6,0,2,7,0,0,0,0,9,0,0,0,0,9,0,2,7,9,0,0,9,0,3,0,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"549",25,1,2,3,6,4,2,1,3,5,0,4,4,3,3,9,0,0,3,1,0,3,1,3,0,9,0,0,0,0,9,6,1,3,2,7,0,0,0,0,9,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"550",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"551",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"552",36,1,3,3,8,1,3,1,5,4,2,4,0,4,5,0,6,3,0,0,0,6,0,3,0,6,0,3,0,3,6,6,0,3,8,1,3,3,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"553",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"554",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"555",38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"556",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"557",41,1,3,2,10,2,5,0,2,9,0,0,0,4,5,0,3,6,2,0,2,2,2,2,0,2,2,5,0,0,9,6,3,0,7,2,5,0,5,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"558",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"559",29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"560",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"561",8,1,3,3,2,2,3,0,5,7,2,0,0,5,4,1,8,1,3,0,0,4,1,3,1,2,4,4,0,5,4,9,0,0,6,3,2,1,4,3,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"562",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"563",23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"564",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"565",24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"566",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"567",3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"568",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"569",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"570",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"571",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"572",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"573",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"574",23,1,1,4,5,2,2,2,4,0,0,9,9,0,0,2,5,3,0,1,0,5,2,2,1,4,2,3,0,9,0,2,0,7,5,4,4,2,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"575",1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"576",9,1,3,3,3,0,6,1,2,8,1,0,2,4,4,2,5,3,5,0,0,2,2,2,3,1,3,3,0,3,6,5,2,2,3,6,1,3,5,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"577",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"578",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"579",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"580",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"581",5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"582",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"583",2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"584",3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"585",16,2,1,1,4,4,3,0,3,2,3,5,8,0,1,8,1,1,3,0,0,4,3,0,0,0,8,1,1,8,1,5,0,4,6,3,8,0,1,0,0,1,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"586",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"587",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"588",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"589",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"590",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"591",32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"592",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"593",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"594",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"595",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"596",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"597",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"598",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"599",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"600",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"601",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"602",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"603",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"604",35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"605",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"606",8,1,3,2,2,2,2,3,3,8,0,1,1,4,5,1,7,1,3,0,1,4,1,2,1,5,2,2,0,2,7,8,1,0,3,6,1,3,5,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"607",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"608",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"609",10,1,3,2,3,1,4,1,4,7,2,0,1,3,5,1,3,5,2,0,0,5,0,2,2,2,1,5,0,2,7,8,1,0,7,2,0,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"610",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"611",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"612",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"613",12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"614",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"615",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"616",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"617",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"618",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"619",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"620",3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"621",39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"622",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"623",32,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"624",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,1,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"625",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"626",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"627",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"628",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"629",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"630",34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"631",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"632",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"633",9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"634",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"635",3,1,2,5,1,0,8,0,1,7,2,0,0,6,3,1,1,8,4,2,0,2,2,2,1,1,1,6,1,1,8,6,2,2,4,5,4,4,1,1,0,3,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"636",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"637",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"638",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"639",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"640",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"641",10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"642",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"643",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"644",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"645",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"646",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"647",9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"648",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"649",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"650",33,1,3,3,8,2,7,0,0,9,0,0,3,2,4,0,3,6,1,0,2,3,2,3,1,2,2,5,1,4,5,7,2,0,9,0,4,4,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"651",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"652",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"653",33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"654",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"655",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"656",28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"657",37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"658",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"659",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"660",33,1,3,4,8,0,5,0,4,9,0,0,0,4,5,0,3,6,0,0,0,3,6,0,0,2,0,7,0,4,5,9,0,0,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"661",24,1,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"662",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"663",38,1,2,3,9,0,3,2,5,5,1,3,3,3,4,2,3,5,3,1,0,1,3,3,2,1,2,4,2,4,5,5,1,4,7,2,5,2,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"664",7,1,2,5,2,1,8,0,1,6,1,3,3,5,2,2,4,4,6,0,0,3,1,1,4,1,4,1,0,4,5,7,2,1,6,3,3,3,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"665",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"666",28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"667",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"668",1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"669",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"670",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"671",24,1,2,2,5,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"672",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"673",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"674",6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"675",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"676",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"677",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"678",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"679",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"680",27,1,2,3,6,0,9,0,0,9,0,0,4,2,4,2,3,4,6,0,0,3,0,0,1,2,4,3,0,2,7,7,0,2,3,6,1,4,2,2,2,6,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"681",1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"682",39,1,2,4,9,1,6,0,3,6,2,2,0,7,2,0,4,5,2,0,0,3,3,2,0,2,3,5,0,9,0,6,2,1,6,3,3,0,5,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"683",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"684",31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"685",8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"686",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"687",13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"688",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"689",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"690",30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"691",33,1,2,2,8,0,4,0,5,4,0,5,3,3,3,0,3,6,2,0,0,2,0,6,1,0,2,6,2,7,2,7,0,2,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"692",24,1,2,3,5,2,3,1,5,4,2,5,4,4,2,4,3,3,4,1,0,2,1,3,3,1,3,3,1,8,1,5,1,4,3,6,5,2,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"693",24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"694",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"695",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"696",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"697",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"698",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"699",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"700",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"701",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"702",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"703",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"704",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"705",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"706",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"707",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"708",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"709",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"710",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"711",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"712",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"713",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"714",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"715",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"716",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"717",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"718",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"719",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"720",33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"721",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"722",29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"723",31,1,2,4,7,4,2,0,3,4,1,4,3,4,3,2,3,5,1,1,1,2,1,5,1,1,2,5,2,5,4,4,1,5,7,2,6,2,2,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"724",29,1,2,3,7,0,3,0,6,5,0,4,1,4,4,0,0,9,0,0,0,0,2,7,0,0,0,4,5,8,1,6,0,3,9,0,2,5,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"725",35,1,3,3,8,4,3,1,2,6,1,2,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,5,7,1,2,6,3,0,5,5,0,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"726",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"727",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"728",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"729",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"730",29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"731",25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"732",3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"733",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"734",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"735",32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"736",31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"737",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"738",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"739",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"740",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"741",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"742",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"743",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"744",37,1,2,5,8,2,3,2,4,7,2,1,4,4,1,0,5,4,2,0,0,5,2,2,0,1,5,4,0,4,5,7,1,1,7,2,4,5,0,0,0,3,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"745",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"746",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"747",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"748",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"749",25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"750",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"751",33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"752",24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"753",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"754",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"755",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"756",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"757",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"758",38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"759",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"760",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"761",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"762",24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,0,0,4,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,0,0,1,2,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"763",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,1,6,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,1,0,"Yes" -"764",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"765",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"766",33,1,4,3,8,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"767",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"768",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"769",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"770",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"771",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"772",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"773",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"774",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"775",23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,8,6,0,0,0,0,0,0,9,0,0,0,7,0,0,0,0,0,0,0,0,6,1,0,0,0,0,0,0,8,0,0,0,1,0,0,0,0,0,"No" -"776",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,0,1,8,2,0,0,2,6,0,1,0,2,2,5,8,1,9,0,0,7,2,5,3,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"777",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"778",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"779",11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"780",38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"781",35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"782",8,1,3,4,2,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"783",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,5,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"784",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"785",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"786",3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"787",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"788",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"789",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"790",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"791",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"792",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"793",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"794",21,1,2,4,5,6,1,0,2,5,2,3,4,3,3,4,3,3,3,0,0,6,0,0,1,2,2,6,0,3,6,5,1,4,6,3,4,2,0,2,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"795",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"796",33,1,1,6,8,2,5,1,2,7,0,2,5,4,0,0,6,3,5,0,0,5,0,0,2,2,0,3,3,9,0,7,2,1,5,4,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"797",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"798",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"799",18,10,2,2,4,1,1,1,7,2,2,6,6,2,2,5,2,2,3,1,0,3,1,2,5,1,2,1,2,6,3,4,0,5,4,5,4,1,4,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"800",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"801",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"802",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"803",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"804",10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"805",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"806",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"807",30,1,2,3,7,0,9,0,0,4,0,5,5,1,4,0,4,5,0,0,0,2,2,6,0,1,2,4,3,3,6,5,1,3,6,3,5,2,3,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"808",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"809",31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"810",9,1,3,3,3,2,0,0,7,4,1,4,0,3,6,3,3,4,3,0,0,3,1,3,2,1,4,3,1,8,1,7,0,2,6,3,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"811",1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"812",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"813",40,1,4,3,10,2,5,0,3,8,1,1,1,3,6,2,4,4,2,0,7,0,1,1,5,0,4,1,0,1,8,4,5,1,1,8,2,0,7,1,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"814",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"815",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"816",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"817",37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"818",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"819",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"820",10,1,3,3,3,0,6,0,3,7,0,2,2,2,6,3,4,2,4,0,3,2,0,0,5,2,3,0,0,0,9,6,3,0,4,5,0,3,3,3,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"821",37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"822",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"823",38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"824",38,1,2,2,9,0,5,2,3,5,2,3,4,2,3,2,4,3,2,0,0,4,2,2,2,2,2,3,2,7,2,5,1,3,9,0,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"825",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"826",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"827",37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"828",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"829",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"830",33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"831",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"832",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"833",39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"834",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"835",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"836",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"837",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"838",3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"839",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"840",36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"841",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"842",8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"843",12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"844",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"845",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"846",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"847",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"848",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"849",38,1,3,3,9,0,5,1,4,7,1,2,1,4,5,0,2,7,1,0,0,6,2,2,1,2,1,6,1,8,1,6,1,2,9,0,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"850",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"851",23,1,2,3,5,1,5,0,4,3,4,3,4,4,2,2,3,5,1,0,0,6,1,2,1,2,2,2,3,6,3,5,0,4,6,3,4,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"852",38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"853",29,1,4,3,7,2,4,0,4,7,0,2,0,2,7,1,1,8,1,0,0,1,2,6,1,0,1,7,1,1,8,5,2,2,7,2,0,8,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"854",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"855",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"856",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"857",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"858",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"859",23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"860",11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,"No" -"861",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"862",24,1,2,3,5,0,6,1,3,3,0,6,6,1,3,2,2,5,2,0,0,4,3,1,2,2,0,5,1,8,1,5,0,4,9,0,5,2,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"863",6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"864",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"865",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"866",2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"867",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"868",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"869",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"870",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"Yes" -"871",6,1,2,4,2,1,3,1,5,6,1,2,3,5,2,0,0,9,0,0,0,2,3,5,0,0,0,4,5,9,0,6,2,2,7,2,9,0,0,0,0,2,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"872",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"873",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"874",32,1,2,4,7,2,6,0,1,6,2,2,2,5,3,1,2,6,3,1,1,2,2,3,2,1,1,4,2,6,3,7,0,2,6,3,5,2,1,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"875",36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"876",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"877",8,1,2,2,2,0,3,0,6,5,0,4,4,4,2,2,5,3,3,0,1,3,1,3,2,4,1,3,1,2,7,4,3,3,3,6,3,1,2,4,0,6,8,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"878",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"879",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"880",39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"881",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"882",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"883",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"884",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"885",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"886",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"887",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"888",2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"889",3,1,3,3,1,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,6,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"890",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"891",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"892",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"893",36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"894",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"895",33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"896",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"897",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"898",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"899",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"900",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"901",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"902",31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"903",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"904",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"905",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"906",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"907",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"908",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"909",24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"910",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0,"No" -"911",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"912",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"913",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"914",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"915",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"916",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"917",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"918",36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"919",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,6,0,0,0,2,0,0,5,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"920",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"921",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"922",36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,"No" -"923",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"924",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"925",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"926",36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"927",32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"928",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"929",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"930",6,1,3,3,2,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"931",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"932",25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"933",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"934",38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"935",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"936",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"937",30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"938",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"939",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"940",5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"941",31,1,2,3,7,0,6,0,3,5,1,3,3,4,2,3,2,5,3,0,0,4,3,0,2,2,0,3,3,3,6,6,1,2,5,4,2,0,7,0,0,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"942",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"943",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"944",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"945",11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"946",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"947",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"948",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"949",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"950",32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"951",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"952",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"953",33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"954",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"955",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"956",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"957",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"958",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"959",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"960",2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"961",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"962",39,1,3,3,9,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"963",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"964",33,1,2,4,8,0,5,1,4,6,0,3,3,4,2,1,1,8,0,2,0,1,7,0,0,1,2,6,0,0,9,7,2,0,7,2,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"965",23,1,1,2,5,0,0,0,9,3,0,6,6,2,2,0,6,3,0,0,0,4,3,2,0,4,3,3,0,4,5,0,0,9,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"966",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"967",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"968",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"969",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"970",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"971",22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"972",36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"973",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"974",30,1,2,3,7,0,6,0,3,3,1,5,7,0,2,4,0,5,2,0,0,4,0,4,0,3,3,0,4,4,5,6,1,2,6,3,5,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"975",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"976",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"977",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"978",32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"979",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"980",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"981",3,1,2,4,1,0,4,2,3,9,0,0,3,4,2,0,6,3,3,0,0,3,2,2,3,2,0,5,0,5,4,6,1,3,6,3,2,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"982",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"983",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"984",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"985",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"986",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"987",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"988",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"989",37,1,3,3,8,2,2,2,5,7,1,2,2,4,4,1,3,5,2,0,1,4,2,2,1,1,3,5,1,1,8,4,0,5,6,3,2,4,3,2,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"990",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"991",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"992",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"993",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"994",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"995",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"996",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"997",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"998",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"999",3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1000",33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1001",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1002",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1003",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1004",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1005",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1006",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1007",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1008",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1009",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1010",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1011",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1012",30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1013",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1014",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1015",22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1016",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1017",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1018",11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1019",25,1,1,4,6,0,5,2,3,3,1,6,6,3,1,2,4,3,2,1,0,5,2,1,2,2,3,3,1,9,0,5,0,4,5,4,5,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1020",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1021",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1022",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1023",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1024",26,2,1,5,6,0,5,0,5,5,0,5,7,2,0,0,2,7,2,0,2,3,0,4,0,0,4,3,2,9,0,0,0,9,2,7,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1025",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1026",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1027",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1028",1,1,2,4,1,2,7,0,0,9,0,0,0,7,2,4,5,0,6,0,0,3,0,0,6,3,0,0,0,0,9,7,2,0,3,6,0,0,9,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1029",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1030",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1031",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1032",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1033",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1034",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1035",33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1036",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1037",33,1,3,3,8,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1038",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1039",10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1040",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1041",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1042",37,1,3,2,8,3,2,1,4,7,2,1,0,2,7,2,5,3,3,0,0,4,2,1,2,2,3,3,0,7,2,7,1,2,6,3,1,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1043",3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1044",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1045",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1046",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1047",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,1,0,0,6,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"1048",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1049",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1050",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1051",33,1,3,3,8,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1052",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1053",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1054",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1055",11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1056",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1057",29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1058",13,1,3,2,3,6,0,0,3,7,0,2,0,5,4,2,6,2,1,1,0,5,3,1,1,1,4,3,0,7,2,9,0,0,3,6,0,1,5,3,0,6,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1059",9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1060",33,1,3,3,8,0,4,3,2,7,0,2,3,2,6,0,5,4,1,0,0,4,5,0,1,2,2,5,0,2,7,7,0,2,8,1,2,2,4,2,0,5,3,0,0,4,6,0,0,0,0,3,0,0,5,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1061",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1062",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1063",41,1,3,3,10,2,5,2,2,7,2,0,0,3,6,2,3,5,3,0,2,3,1,2,4,0,2,4,0,1,8,7,2,0,6,3,5,2,2,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1064",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1065",37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1066",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1067",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1068",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1069",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1070",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1071",39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1072",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1073",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1074",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1075",7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1076",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1077",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"1078",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1079",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1080",33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1081",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1082",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1083",36,1,3,3,8,2,4,1,3,6,1,3,5,0,4,3,3,3,3,0,2,4,0,2,3,3,3,2,0,0,9,6,1,3,5,4,0,3,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1084",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1085",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1086",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1087",13,2,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1088",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1089",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1090",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1091",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1092",37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1093",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1094",26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1095",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1096",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1097",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1098",35,2,5,3,8,0,5,0,4,4,0,5,1,1,8,3,5,1,3,0,0,3,1,3,6,2,1,1,0,1,8,7,2,0,2,7,1,0,4,0,4,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1099",36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1100",16,1,2,2,4,0,2,0,7,0,2,7,6,1,2,5,2,2,3,0,0,3,2,3,1,1,6,2,1,6,3,5,1,4,6,3,4,4,0,1,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1101",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1102",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1103",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1104",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1105",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1106",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1107",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1108",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1109",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1110",3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1111",8,1,3,3,2,0,5,0,4,8,1,0,2,2,5,2,3,4,3,0,0,3,2,2,2,2,3,4,0,2,7,8,0,1,5,4,1,2,4,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1112",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1113",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1114",33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1115",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1116",24,2,2,3,5,2,4,2,2,2,2,5,3,6,0,4,3,2,0,0,0,4,3,3,2,3,2,0,3,9,0,3,0,6,9,0,0,7,2,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1117",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1118",33,1,3,4,8,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1119",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1120",7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1121",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1122",32,1,2,4,7,1,3,1,5,5,1,3,4,5,1,1,4,5,2,0,0,3,0,5,0,1,4,4,1,7,2,6,1,3,6,3,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1123",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1124",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1125",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1126",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,"No" -"1127",29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1128",32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1129",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1130",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1131",39,1,4,2,9,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1132",9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1133",32,1,3,3,7,0,6,1,3,6,1,3,1,4,5,1,3,5,2,0,0,3,3,3,1,1,3,4,2,6,3,5,1,4,7,2,4,4,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1134",36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,1,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"1135",12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1136",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,2,1,0,1,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" -"1137",7,2,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" -"1138",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1139",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1140",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1141",23,1,1,4,5,0,5,2,2,2,0,7,8,1,0,1,8,1,0,1,0,4,0,5,1,1,8,1,0,9,0,7,0,2,5,4,1,8,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1142",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"1143",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"1144",38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1145",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1146",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1147",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1148",40,1,2,4,10,0,9,0,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,0,1,5,0,3,0,9,5,2,3,2,7,4,2,3,0,0,2,3,2,0,0,0,6,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"1149",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1150",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1151",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1152",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1153",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1154",36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1155",39,1,2,4,9,0,5,0,4,5,0,4,4,3,3,0,3,6,0,0,3,3,0,4,0,3,3,4,0,9,0,6,0,3,9,0,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1156",37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1157",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1158",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1159",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1160",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1161",22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1162",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1163",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1164",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1165",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" -"1166",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1167",11,1,3,3,3,1,5,1,4,6,1,2,2,4,4,2,3,4,2,0,2,2,3,2,2,1,3,3,1,3,6,6,2,2,5,4,3,2,4,2,1,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1168",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"1169",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1170",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1171",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1172",37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1173",33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1174",31,1,2,5,7,0,4,0,5,9,0,0,0,8,1,0,0,9,0,0,0,0,5,4,0,0,0,8,1,9,0,5,0,4,9,0,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1175",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1176",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1177",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1178",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1179",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1180",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1181",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1182",24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1183",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1184",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1185",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1186",8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1187",6,1,3,3,2,3,0,3,4,9,0,0,0,0,9,0,0,9,5,0,0,3,1,1,0,0,4,5,0,0,9,5,4,0,4,5,7,0,0,2,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1188",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1189",10,2,3,2,3,5,1,0,3,4,4,1,0,0,9,9,0,0,0,0,0,9,0,0,4,5,0,0,0,0,9,7,0,2,7,2,2,3,4,2,1,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1190",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1191",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1192",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1193",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1194",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1195",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1196",8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1197",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1198",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1199",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1200",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1201",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,3,0,0,0,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1202",39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1203",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1204",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1205",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1206",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" -"1207",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1208",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1209",8,1,2,2,2,3,5,0,2,5,2,3,3,4,3,4,3,2,4,0,0,3,0,2,4,3,0,2,0,9,0,3,0,6,9,0,2,3,4,2,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1210",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1211",33,2,3,3,8,2,5,0,3,5,0,4,2,2,5,0,5,4,1,0,1,2,3,3,0,1,4,3,2,3,6,5,2,3,9,0,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1212",9,1,4,3,3,1,3,1,6,7,1,1,1,2,7,1,2,6,0,0,0,2,5,2,0,1,2,6,2,8,1,4,2,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1213",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1214",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1215",11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" -"1216",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1217",25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1218",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,"No" -"1219",3,1,2,4,1,3,4,2,1,6,0,3,4,4,2,0,8,1,3,0,0,4,0,2,2,3,3,3,1,7,2,6,0,3,4,5,5,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1220",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1221",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1222",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1223",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1224",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1225",38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1226",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1227",11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1228",33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1229",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1230",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1231",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1232",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1233",3,1,3,4,1,2,4,0,4,9,0,0,0,6,3,0,5,4,4,0,2,2,0,2,3,3,4,0,0,0,9,7,2,0,2,7,0,0,4,5,0,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1234",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1235",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1236",40,1,3,3,10,2,5,3,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,1,0,4,2,4,0,9,5,2,3,4,5,6,3,0,0,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1237",3,1,3,3,1,0,5,0,4,7,0,2,2,4,4,1,6,3,5,0,0,3,1,1,3,3,2,3,0,2,7,5,4,0,5,4,0,3,4,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1238",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1239",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1240",11,1,3,4,3,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1241",30,1,1,6,7,0,6,0,3,2,0,7,7,2,1,1,2,7,2,2,2,1,2,2,1,1,4,2,3,7,2,3,0,6,6,3,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1242",33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1243",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1244",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1245",27,1,2,4,6,1,5,2,3,5,1,4,3,6,0,6,0,3,4,2,0,2,1,1,6,0,0,3,0,6,3,5,1,3,5,4,3,2,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1246",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1247",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1248",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1249",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1250",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1251",24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1252",7,2,1,5,2,3,3,3,2,5,0,4,5,4,0,2,3,5,0,0,0,6,0,3,2,0,3,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1253",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1254",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1255",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1256",2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1257",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1258",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1259",9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"1260",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1261",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1262",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1263",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1264",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1265",36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1266",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1267",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1268",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1269",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1270",3,1,2,4,1,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1271",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1272",7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1273",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1274",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1275",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1276",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1277",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1278",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1279",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1280",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1281",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1282",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1283",35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1284",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1285",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1286",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1287",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1288",18,1,1,2,4,1,3,0,5,1,1,8,8,1,1,6,3,1,3,0,0,4,2,0,1,3,3,3,1,6,3,3,0,6,3,6,6,1,3,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1289",29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1290",33,1,3,4,8,2,7,0,0,7,0,2,2,4,4,4,1,5,4,0,0,1,3,2,4,0,2,4,0,2,7,5,3,2,5,4,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1291",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1292",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1293",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1294",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1295",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1296",38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1297",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1298",13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1299",39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1300",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1301",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1302",8,1,2,3,2,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1303",39,1,3,3,9,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1304",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1305",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1306",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1307",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1308",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,1,0,0,6,0,0,0,0,0,0,3,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" -"1309",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1310",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1311",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1312",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1313",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1314",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1315",26,1,1,6,6,0,7,0,2,2,0,7,7,2,0,0,0,9,0,0,0,5,0,4,0,0,0,7,2,6,3,4,0,5,6,3,9,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1316",1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1317",8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1318",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1319",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1320",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1321",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1322",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1323",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1324",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1325",9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1326",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1327",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1328",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"1329",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1330",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1331",32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1332",30,1,4,3,7,0,7,0,2,4,1,4,4,2,4,0,2,7,1,0,1,3,3,3,1,1,2,5,2,5,4,5,2,3,8,1,6,1,3,1,0,3,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1333",24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1334",3,1,2,5,1,2,2,0,5,7,0,2,3,6,1,4,4,1,3,1,0,3,1,1,4,3,0,1,2,3,6,9,0,0,4,5,5,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1335",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1336",35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1337",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1338",31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1339",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1340",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1341",31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1342",8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1343",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1344",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1345",9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1346",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1347",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1348",3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1349",5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1350",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1351",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1352",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1353",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,2,0,6,0,0,0,0,0,0,0,0,0,0,4,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"1354",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1355",39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1356",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1357",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1358",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1359",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1360",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1361",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1362",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1363",36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1364",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1365",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1366",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1367",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1368",16,1,1,1,4,2,2,1,6,1,2,7,7,2,0,5,4,0,2,0,0,7,0,1,3,4,3,1,0,9,0,5,0,4,4,5,4,4,1,2,0,3,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1369",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1370",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1371",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1372",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1373",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1374",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1375",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1376",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1377",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1378",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1379",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1380",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1381",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,"No" -"1382",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1383",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1384",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1385",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1386",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1387",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1388",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1389",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1390",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1391",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1392",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1393",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1394",22,1,2,4,5,0,5,3,2,4,1,4,4,5,1,2,4,3,1,1,0,5,2,1,1,2,3,3,1,9,0,5,0,4,5,4,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1395",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1396",2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1397",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1398",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1399",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1400",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1401",33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1402",8,1,3,3,2,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1403",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1404",12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" -"1405",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1406",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1407",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1408",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1409",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1410",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1411",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1412",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1413",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1414",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1415",40,1,3,3,10,0,8,0,1,7,0,2,2,3,5,0,6,3,2,0,3,4,0,0,3,2,5,0,0,2,7,3,6,0,3,6,0,2,6,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1416",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1417",21,1,2,2,5,0,0,2,7,2,0,7,7,0,2,5,3,2,5,2,0,2,1,1,7,0,1,2,1,9,0,6,2,2,6,3,3,1,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1418",3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1419",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1420",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1421",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1422",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1423",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1424",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1425",35,1,3,3,8,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1426",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1427",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1428",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1429",36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1430",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,"No" -"1431",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1432",25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1433",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1434",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,7,6,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1435",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1436",27,1,3,3,6,0,8,0,1,6,0,3,3,2,4,1,3,5,1,0,3,1,5,0,1,0,3,4,2,3,6,6,2,2,5,4,5,0,5,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1437",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1438",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1439",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1440",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1441",3,1,1,4,1,4,3,1,3,5,2,3,9,0,0,0,0,9,2,0,1,3,3,2,0,0,4,5,0,0,9,7,2,0,4,5,3,0,3,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1442",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1443",8,1,3,3,2,2,3,0,4,7,0,2,1,2,6,3,4,2,2,0,1,6,1,1,3,3,3,1,2,2,7,6,3,0,4,5,2,2,3,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1444",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1445",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1446",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1447",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1448",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1449",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1450",8,2,3,4,2,0,5,1,3,6,1,2,2,3,5,4,4,2,3,2,0,3,2,0,5,2,1,3,1,2,7,6,2,2,3,6,1,2,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1451",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1452",8,1,4,3,2,1,4,0,4,7,2,0,0,0,9,0,4,5,3,0,0,2,2,2,1,2,1,5,0,5,4,8,1,0,6,3,1,2,3,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1453",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1454",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"1455",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1456",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1457",30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1458",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1459",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1460",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1461",11,1,2,4,3,4,4,2,1,4,0,5,4,3,3,1,6,2,2,3,0,6,0,0,1,2,5,2,0,7,2,5,1,4,6,3,4,3,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1462",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1463",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1464",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1465",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1466",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1467",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"1468",28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1469",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1470",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1471",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1472",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"1473",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1474",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1475",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1476",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1477",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1478",27,1,2,5,6,1,4,3,2,5,0,4,4,4,2,3,3,3,2,2,2,4,1,1,2,2,5,1,0,6,3,7,1,2,6,3,2,4,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1479",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1480",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1481",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1482",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1483",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1484",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1485",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1486",6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1487",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1488",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1489",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1490",13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"1491",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1492",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,"No" -"1493",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1494",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1495",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1496",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1497",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1498",9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1499",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1500",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1501",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1502",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1503",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1504",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1505",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1506",38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1507",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1508",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1509",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1510",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1511",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1512",24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1513",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1514",36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1515",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1516",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1517",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1518",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1519",23,1,3,3,5,2,1,5,2,5,1,4,3,4,3,2,5,3,2,0,0,6,1,1,2,2,3,2,2,8,1,3,2,5,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1520",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1521",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1522",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1523",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1524",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1525",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1526",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1527",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1528",24,1,2,3,5,1,6,1,2,7,1,2,1,7,1,1,4,5,0,0,4,1,0,4,4,0,1,5,0,5,4,4,2,3,7,2,0,2,3,4,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1529",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1530",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1531",30,1,2,5,7,2,5,2,1,3,0,6,6,2,2,0,2,7,2,0,1,2,1,5,0,2,3,5,1,2,7,6,0,3,9,0,3,6,1,0,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1532",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1533",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1534",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1535",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1536",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1537",10,1,2,3,3,2,1,0,6,6,0,3,2,4,4,2,4,3,4,0,0,4,1,2,3,2,2,3,0,6,4,5,0,4,5,4,2,5,2,2,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1538",10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1539",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1540",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1541",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1542",32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1543",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1544",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1545",8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1546",10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1547",35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1548",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1549",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1550",37,1,2,2,8,2,3,1,4,5,1,3,4,4,2,0,7,2,0,0,0,9,0,0,0,6,0,3,0,5,4,6,1,3,5,4,2,2,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1551",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1552",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1553",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1554",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1555",24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1556",38,1,3,3,9,0,6,0,4,6,0,4,1,4,5,2,4,3,2,0,2,4,2,1,3,2,3,3,1,7,2,7,2,0,6,3,1,2,4,1,1,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1557",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1558",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1559",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1560",24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1561",10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1562",13,1,5,3,3,0,6,0,3,6,0,3,0,1,8,5,4,1,0,2,0,6,0,2,3,2,2,2,0,8,1,5,2,3,6,3,1,1,4,4,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1563",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1564",3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1565",31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1566",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1567",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,2,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" -"1568",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"1569",23,1,1,2,5,4,1,1,5,0,5,4,5,4,0,2,5,2,1,0,0,2,7,1,1,2,1,7,1,8,1,4,0,5,8,1,4,3,2,2,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1570",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1571",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1572",33,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1573",6,2,4,3,2,1,2,2,5,8,1,1,1,1,8,5,4,1,5,0,0,4,1,0,5,3,2,1,0,2,7,8,1,0,2,7,1,1,5,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1574",24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1575",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1576",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,7,0,0,0,2,3,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1577",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1578",40,1,3,3,10,0,5,1,4,8,0,1,1,4,4,3,3,4,2,1,2,3,2,1,2,2,3,3,1,4,5,6,2,1,6,3,1,3,5,1,1,6,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1579",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1580",3,1,2,4,1,3,5,2,0,9,0,0,0,4,5,4,5,0,0,0,0,4,0,5,0,9,0,0,0,4,5,5,3,2,6,3,0,0,4,0,5,0,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1581",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1582",40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1583",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1584",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1585",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1586",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1587",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1588",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1589",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1590",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1591",9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1592",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1593",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1594",10,3,4,3,3,0,4,0,5,9,0,0,0,0,9,6,3,0,9,0,0,0,0,0,5,0,3,2,0,9,0,0,5,4,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1595",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1596",38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"1597",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1598",30,1,2,5,7,0,5,0,4,5,0,4,4,4,2,0,2,7,0,0,0,3,6,0,0,0,3,5,2,9,0,5,0,4,9,0,6,2,2,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1599",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1600",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1601",32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1602",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1603",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1604",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1605",9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1606",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1607",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1608",8,1,3,3,2,4,0,0,5,6,0,3,2,4,4,1,5,3,3,0,0,6,0,0,2,3,3,3,0,0,9,6,3,0,5,4,0,0,5,2,3,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1609",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1610",27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1611",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1612",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1613",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1614",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1615",39,1,3,2,9,2,5,1,2,5,1,3,1,4,5,0,7,2,4,0,3,1,3,0,3,2,4,2,0,9,0,5,1,3,7,2,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1616",31,1,2,3,7,2,3,2,3,5,2,3,3,3,4,0,3,6,0,0,0,3,3,3,0,1,3,5,1,9,0,4,1,5,8,1,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1617",39,1,2,4,9,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1618",3,1,3,3,1,2,1,1,6,6,2,2,1,5,4,2,5,3,4,1,0,4,2,1,3,2,2,3,1,8,1,6,1,3,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1619",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"1620",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1621",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1622",41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1623",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1624",32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1625",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1626",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1627",35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1628",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"1629",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1630",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1631",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1632",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1633",13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1634",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1635",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,0,0,"Yes" -"1636",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1637",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"1638",33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1639",13,1,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1640",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1641",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1642",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1643",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1644",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1645",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1646",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1647",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1648",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1649",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1650",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1651",11,1,3,3,3,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1652",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1653",2,1,4,2,1,0,4,0,5,5,2,2,2,4,4,2,2,5,0,4,0,0,5,0,0,0,5,4,0,4,5,6,2,2,6,3,3,4,2,1,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1654",41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,4,6,6,0,0,0,6,4,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,1,0,0,0,3,2,0,0,0,0,1,1,0,0,0,0,0,"No" -"1655",39,1,2,4,9,3,4,0,3,5,2,3,2,5,3,3,3,4,2,0,0,4,2,3,0,3,3,2,2,1,8,6,0,3,6,3,6,3,0,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1656",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1657",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1658",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1659",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1660",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1661",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1662",1,1,2,4,1,3,3,1,4,9,0,0,0,5,4,6,3,0,7,1,0,2,0,0,7,2,0,0,0,0,9,2,7,0,0,9,0,0,3,3,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1663",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1664",33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1665",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1666",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1667",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1668",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" -"1669",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1670",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1671",37,1,3,3,8,0,6,1,3,5,2,3,2,4,4,2,4,4,2,0,2,2,3,2,2,2,2,4,1,5,4,7,1,2,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1672",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"1673",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1674",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1675",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1676",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1677",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1678",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1679",39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1680",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1681",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1682",30,1,2,2,7,2,6,0,2,2,0,7,3,3,4,1,4,4,2,0,1,2,3,3,1,2,2,4,1,4,5,6,0,3,7,2,4,3,3,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1683",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1684",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1685",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1686",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1687",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1688",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1689",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,3,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1690",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,6,0,7,7,0,0,3,0,6,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,4,0,0,2,0,6,0,0,0,0,0,1,0,0,0,0,0,"No" -"1691",26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1692",41,1,3,3,10,0,6,0,3,9,0,0,0,0,9,0,3,6,0,0,3,0,5,2,0,0,2,7,0,3,6,6,3,0,9,0,3,6,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1693",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,2,0,6,0,0,0,1,0,0,0,3,0,0,0,3,0,0,0,2,0,1,1,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,"No" -"1694",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1695",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1696",34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1697",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1698",3,1,3,3,1,2,4,1,4,6,1,3,3,3,4,2,4,4,2,1,1,3,3,3,1,2,2,4,2,5,4,6,1,3,6,3,3,3,2,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1699",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1700",6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1701",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1702",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1703",13,1,2,2,3,3,1,2,5,5,2,3,6,0,3,0,9,0,0,0,0,0,6,3,0,0,3,6,0,9,0,3,0,6,8,1,0,3,0,6,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1704",3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1705",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1706",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1707",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1708",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"1709",31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"1710",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1711",3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1712",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1713",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1714",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1715",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1716",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1717",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1718",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1719",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1720",9,2,4,3,3,4,4,0,2,8,1,1,1,1,8,1,4,4,2,0,0,5,1,2,2,2,2,4,0,6,3,9,0,0,4,5,3,1,6,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1721",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1722",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1723",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1724",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1725",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1726",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1727",35,1,3,2,8,7,0,0,2,6,3,0,0,4,5,2,2,6,3,0,0,1,5,0,1,2,0,6,0,3,6,5,0,4,6,3,5,0,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1728",8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1729",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1730",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1731",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1732",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1733",8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1734",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1735",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1736",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1737",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1738",33,1,3,3,8,2,1,2,5,6,2,1,4,3,3,0,5,4,2,0,0,4,3,2,3,3,0,3,0,0,9,6,1,3,5,4,5,4,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1739",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1740",31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,4,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"1741",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1742",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1743",8,1,3,4,2,4,1,0,5,8,0,1,1,5,4,7,2,0,7,1,0,2,0,0,7,1,2,0,0,0,9,7,2,0,2,7,0,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1744",22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1745",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1746",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1747",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1748",32,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1749",35,1,2,3,8,1,5,1,3,7,1,2,4,5,0,0,0,9,3,1,1,2,3,2,0,0,9,0,0,4,5,7,1,2,5,4,3,6,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"1750",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1751",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1752",3,1,2,4,1,2,5,2,2,5,0,4,2,5,3,3,5,2,2,0,1,4,1,3,3,3,2,3,0,2,7,7,0,2,4,5,2,2,3,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1753",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1754",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1755",39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1756",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1757",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1758",35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1759",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1760",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1761",24,1,2,2,5,2,3,2,3,3,2,4,4,3,3,5,2,3,4,0,0,3,1,2,4,1,2,3,0,6,3,4,0,5,7,2,4,2,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1762",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1763",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1764",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1765",25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1766",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1767",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1768",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1769",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1770",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1771",1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1772",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1773",13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1774",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"1775",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"1776",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1777",38,1,3,3,9,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1778",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1779",35,1,2,4,8,4,0,0,5,5,3,2,4,3,2,3,6,0,7,0,0,0,0,2,6,0,3,0,0,7,2,7,2,0,5,4,0,0,9,0,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1780",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1781",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1782",8,2,4,3,2,2,2,0,5,9,0,0,0,0,9,2,7,0,2,0,0,7,0,0,2,2,6,0,0,0,9,5,4,0,0,9,0,4,4,2,0,5,8,1,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1783",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1784",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1785",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1786",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1787",7,1,2,3,2,0,3,0,6,6,3,0,2,5,4,4,4,2,5,0,0,2,2,0,4,3,2,2,0,6,3,5,3,2,3,6,2,1,4,0,3,7,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1788",22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1789",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1790",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1791",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1792",3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1793",30,1,3,3,7,1,2,2,6,6,2,2,2,3,5,0,3,6,0,0,0,3,0,6,1,2,2,5,1,9,0,5,1,3,8,1,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1794",8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,5,0,0,0,0,0,0,0,7,0,2,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,4,0,1,0,1,0,0,0,0,1,"No" -"1795",33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1796",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1797",19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1798",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1799",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1800",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1801",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1802",23,5,1,3,5,4,1,0,5,1,2,6,6,3,1,1,6,3,1,0,0,8,0,1,0,4,2,3,0,8,1,3,1,6,8,1,5,2,2,1,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1803",24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1804",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1805",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1806",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1807",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1808",32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1809",12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1810",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1811",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1812",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1813",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1814",3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1815",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1816",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1817",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1818",36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1819",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1820",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1821",25,3,2,3,6,3,2,4,3,3,0,6,5,2,3,1,6,2,3,0,0,3,1,4,2,1,3,4,0,5,4,3,0,6,7,2,3,2,3,2,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1822",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1823",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1824",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1825",39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1826",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1827",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1828",1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1829",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1830",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1831",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1832",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1833",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1834",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1835",32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1836",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1837",7,1,3,3,2,3,0,0,6,9,0,0,0,6,3,2,4,4,2,0,0,3,3,2,2,2,3,4,0,2,7,6,0,3,4,5,0,2,4,4,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1838",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1839",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1840",41,1,3,2,10,0,7,0,2,9,0,0,0,3,6,2,5,2,0,0,2,5,2,0,4,4,0,2,0,4,5,4,5,0,5,4,2,5,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1841",37,1,2,1,8,4,3,1,3,5,2,3,0,9,0,0,6,3,0,0,0,9,0,0,0,4,0,0,5,5,5,7,2,0,4,5,0,0,6,3,0,7,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1842",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1843",11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1844",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1845",41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1846",41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1847",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1848",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1849",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1850",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1851",25,1,2,4,6,1,2,1,6,3,2,4,4,4,2,2,5,2,2,0,0,5,1,2,1,2,4,2,2,8,1,7,1,2,6,3,4,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1852",33,1,2,4,8,0,5,0,4,5,0,4,3,4,3,0,0,9,0,0,0,0,5,4,0,0,0,7,2,6,3,6,1,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1853",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1854",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1855",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1856",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1857",11,1,3,2,3,2,0,5,2,5,0,5,0,3,6,0,5,4,0,0,0,5,4,0,0,5,0,4,0,3,6,6,3,0,5,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1858",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1859",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1860",5,1,1,1,1,3,0,2,5,5,1,3,5,4,0,5,5,0,0,0,0,2,0,7,0,2,7,0,0,9,0,2,2,6,9,0,7,0,0,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1861",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,4,0,0,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1862",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1863",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1864",18,2,1,1,4,1,3,0,5,0,1,8,8,1,0,5,4,0,2,0,0,5,0,2,1,2,5,2,0,9,0,2,0,7,6,3,8,1,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1865",1,1,3,3,1,1,5,1,3,8,0,1,1,4,5,7,2,0,3,1,0,6,0,1,5,4,1,0,0,0,9,6,2,2,2,7,1,1,6,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1866",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1867",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" -"1868",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1869",3,1,2,5,1,0,5,0,4,4,0,5,4,3,3,2,2,6,5,0,0,4,0,0,2,0,2,0,6,4,5,5,2,4,5,4,3,3,0,3,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1870",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1871",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1872",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1873",35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1874",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1875",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1876",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1877",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1878",12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1879",2,1,3,3,1,2,4,2,2,9,0,0,0,4,5,5,4,1,5,4,0,1,0,1,8,1,0,1,0,0,9,3,6,0,1,8,1,3,4,2,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1880",40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1881",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1882",5,1,3,4,1,0,7,1,1,7,0,2,1,4,4,0,5,4,3,0,2,4,0,1,0,3,3,2,2,2,7,6,1,2,3,6,4,1,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1883",3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,1,0,3,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,2,0,1,"No" -"1884",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1885",4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1886",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1887",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1888",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1889",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1890",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1891",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1892",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1893",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1894",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,6,0,0,0,2,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"1895",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1896",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1897",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1898",34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1899",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1900",26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1901",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1902",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1903",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1904",1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"1905",32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1906",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1907",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1908",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1909",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1910",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"1911",36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1912",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1913",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1914",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1915",11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1916",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1917",40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1918",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1919",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1920",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1921",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1922",31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1923",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1924",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" -"1925",7,1,3,3,2,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1926",26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1927",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1928",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1929",32,1,3,2,7,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1930",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1931",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1932",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1933",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1934",1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1935",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1936",8,1,4,2,2,2,2,2,4,9,0,0,0,2,7,2,7,0,2,0,0,7,0,0,3,6,0,0,0,0,9,7,2,0,6,3,0,0,5,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1937",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1938",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1939",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1940",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1941",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1942",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1943",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1944",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1945",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1946",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1947",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1948",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1949",31,1,3,3,7,0,2,3,4,4,3,3,3,4,3,0,2,7,0,0,0,0,3,6,0,0,2,5,2,9,0,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1950",13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1951",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1952",20,1,2,3,5,3,3,2,3,5,1,4,4,2,3,1,3,6,0,0,0,1,5,4,1,1,1,6,3,8,1,4,0,5,9,0,5,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1953",11,1,2,3,3,0,5,0,4,6,0,3,4,3,2,1,5,4,1,0,1,1,3,4,1,1,6,3,1,0,9,6,3,0,4,5,0,2,7,1,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1954",5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1955",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1956",24,2,2,3,5,1,1,0,8,8,0,1,2,4,4,2,5,3,2,1,0,6,1,2,1,2,2,5,1,1,8,7,2,0,4,5,2,7,1,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1957",32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1958",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1959",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1960",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"1961",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1962",13,1,3,2,3,3,3,0,4,6,0,4,2,3,4,2,5,2,1,0,0,5,1,3,1,3,3,2,2,4,5,5,2,2,7,2,0,5,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1963",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1964",13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1965",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1966",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1967",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1968",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1969",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1970",30,1,2,3,7,3,2,1,4,6,1,3,0,9,0,0,5,5,9,0,0,0,0,0,0,4,5,0,0,0,9,5,1,3,5,4,3,3,3,2,1,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1971",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1972",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1973",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1974",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1975",8,1,3,3,2,0,5,0,4,9,0,0,0,2,7,3,4,2,6,0,1,0,2,0,6,1,0,2,1,4,5,7,2,0,7,2,1,1,8,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1976",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1977",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1978",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1979",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1980",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1981",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1982",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1983",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1984",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1985",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1986",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1987",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1988",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1989",9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1990",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,2,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,1,"No" -"1991",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1992",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1993",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1994",37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1995",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1996",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1997",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1998",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1999",1,1,3,3,1,1,5,0,4,7,0,2,2,2,6,3,5,1,6,0,0,3,0,1,4,1,5,0,0,0,9,7,2,0,2,7,2,1,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2000",10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"2001",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2002",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2003",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2004",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2005",2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2006",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2007",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2008",23,2,2,3,5,3,2,0,5,3,2,5,5,3,1,2,7,1,3,0,0,4,0,2,1,3,3,3,1,1,8,4,0,5,6,3,2,2,7,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2009",38,1,3,2,9,3,6,1,1,5,0,4,2,1,7,1,5,4,1,0,0,3,1,5,1,1,5,4,1,9,0,8,1,1,8,1,3,5,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2010",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2011",36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2012",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2013",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2014",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2015",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2016",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2017",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2018",35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2019",25,1,2,4,6,1,2,1,7,1,1,7,5,4,1,3,3,3,1,0,0,4,3,3,1,2,4,2,2,8,1,2,0,7,7,2,6,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2020",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2021",36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2022",38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2023",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2024",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2025",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2026",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2027",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,5,0,0,5,0,2,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"2028",38,1,4,2,9,2,6,0,2,4,0,5,0,0,9,5,2,2,3,0,0,3,3,0,0,3,3,4,0,5,4,7,0,2,2,7,2,0,4,4,0,7,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2029",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2030",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2031",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2032",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2033",37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2034",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2035",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2036",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2037",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2038",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2039",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2040",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2041",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2042",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2043",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2044",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2045",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2046",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2047",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2048",6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2049",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2050",24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2051",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2052",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2053",29,1,2,3,7,0,5,0,4,7,2,0,0,6,3,0,0,9,0,0,0,2,2,5,0,0,0,6,3,4,5,8,0,1,8,1,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2054",8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2055",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2056",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2057",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2058",34,1,3,3,8,0,4,0,5,6,0,3,3,4,3,0,0,9,2,1,2,3,3,1,0,0,0,4,5,2,7,7,1,2,6,3,2,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2059",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2060",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2061",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2062",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2063",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2064",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2065",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2066",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2067",29,1,2,3,7,4,1,0,4,4,2,4,3,3,3,1,6,3,3,1,0,4,1,2,1,2,2,4,1,3,6,2,2,5,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2068",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2069",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2070",3,1,3,3,1,0,6,0,3,3,1,5,3,2,5,0,4,6,2,0,0,2,3,4,2,0,2,5,2,2,7,6,1,2,6,3,3,6,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2071",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2072",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2073",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2074",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2075",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2076",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2077",33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2078",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2079",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2080",10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2081",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2082",9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2083",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2084",41,1,3,3,10,0,5,0,4,9,0,0,0,4,5,1,3,6,1,0,2,0,6,0,2,1,0,5,3,4,5,8,1,0,5,4,2,2,6,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2085",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2086",10,1,4,2,3,0,3,4,2,9,0,0,0,1,8,1,7,1,2,0,0,4,0,4,2,3,5,1,0,0,9,5,4,0,2,7,0,1,4,4,1,6,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2087",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2088",35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2089",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2090",4,3,2,4,1,1,2,0,6,4,1,4,4,3,2,4,2,3,1,1,0,6,1,1,2,2,2,4,1,4,5,4,2,4,5,4,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2091",9,2,2,2,3,2,3,1,5,4,0,5,4,3,3,2,5,3,1,0,0,4,1,4,1,3,3,3,1,5,4,7,0,2,6,3,4,3,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2092",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2093",40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2094",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2095",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2096",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2097",24,1,3,2,5,0,0,3,6,6,2,1,1,4,4,1,5,4,2,0,0,3,2,4,2,1,4,3,2,8,1,7,0,2,7,2,3,2,3,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2098",8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2099",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" -"2100",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"2101",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2102",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2103",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2104",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2105",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2106",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2107",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2108",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"2109",32,1,3,4,7,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2110",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2111",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2112",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2113",13,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2114",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2115",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2116",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2117",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2118",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2119",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2120",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2121",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2122",39,1,3,3,9,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2123",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2124",39,1,3,3,9,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2125",24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2126",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2127",24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2128",31,1,1,4,7,0,5,1,3,6,1,3,5,4,1,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,6,1,2,6,3,3,6,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2129",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2130",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2131",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2132",11,1,2,3,3,0,3,0,6,8,0,1,1,6,3,2,5,2,2,0,1,5,0,2,1,5,2,2,0,0,9,7,1,2,5,4,0,3,3,4,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2133",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2134",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2135",35,1,2,3,8,1,4,2,3,6,0,3,0,5,5,0,5,5,2,0,0,4,1,3,9,0,0,0,0,5,5,4,0,5,8,1,5,3,2,0,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2136",1,1,2,3,1,2,4,0,4,9,0,0,1,5,4,6,3,0,7,0,1,2,0,0,7,1,2,0,0,2,7,7,2,0,0,9,0,2,3,3,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2137",41,1,2,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2138",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2139",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2140",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2141",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2142",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2143",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2144",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2145",6,1,2,4,2,1,3,1,5,6,1,3,2,7,0,2,0,7,2,1,1,3,2,3,2,2,2,3,2,9,0,6,2,2,6,3,5,0,4,0,0,4,8,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2146",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2147",22,1,2,3,5,2,5,1,2,4,1,4,2,5,3,2,3,5,3,2,1,2,1,3,2,1,2,2,3,3,6,6,1,2,6,3,3,3,4,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2148",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2149",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2150",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2151",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2152",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2153",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2154",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2155",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2156",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2157",37,1,3,3,8,0,7,1,1,7,0,2,3,2,5,0,5,4,1,0,2,3,2,2,2,3,0,3,3,4,5,5,2,2,4,5,3,4,0,0,3,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2158",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2159",39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2160",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2161",5,1,2,2,1,6,0,1,3,2,2,6,6,2,1,6,3,1,3,2,0,3,1,2,3,2,3,2,1,6,3,3,1,5,3,6,6,1,1,1,1,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2162",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2163",6,1,3,3,2,0,8,0,1,8,0,1,1,1,7,0,7,2,4,0,2,1,0,3,3,1,5,1,0,0,9,3,3,3,2,7,4,2,4,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2164",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2165",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2166",32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2167",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2168",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2169",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2170",33,1,2,2,8,2,2,0,6,6,3,0,1,7,2,0,1,8,0,0,0,0,8,1,0,0,0,8,1,9,0,9,0,0,9,0,3,4,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2171",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2172",3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2173",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2174",31,1,2,3,7,0,2,0,7,5,2,2,0,5,4,0,0,9,0,0,0,0,2,7,0,0,0,6,3,9,0,5,0,4,7,2,4,5,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2175",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2176",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2177",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2178",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2179",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,7,0,0,0,2,0,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"2180",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2181",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2182",39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2183",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2184",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2185",38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2186",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2187",39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2188",36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2189",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2190",19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2191",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2192",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2193",35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2194",33,1,3,3,8,0,5,1,4,6,1,3,2,3,5,1,3,6,1,0,1,2,4,2,1,1,2,5,1,5,4,5,2,3,7,2,4,2,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2195",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2196",11,1,2,4,3,2,5,0,2,5,0,4,3,4,2,3,6,0,9,0,0,0,0,0,3,0,2,5,0,7,2,7,0,2,2,7,0,4,2,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2197",32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2198",33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2199",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2200",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2201",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2202",1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2203",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2204",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2205",11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2206",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2207",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2208",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2209",9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2210",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2211",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2212",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,7,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2213",10,1,3,2,3,2,4,0,4,9,0,0,0,0,9,5,4,0,5,0,0,4,0,0,5,2,3,0,0,0,9,5,4,0,2,7,0,5,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2214",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2215",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2216",23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2217",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2218",38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2219",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2220",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2221",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2222",26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2223",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2224",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2225",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2226",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2227",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2228",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2229",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2230",1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"2231",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2232",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2233",27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2234",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2235",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2236",8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2237",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2238",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2239",22,1,2,2,5,2,3,0,5,2,3,4,1,4,4,4,1,5,0,0,0,5,0,5,0,3,1,1,5,9,0,5,0,4,9,0,5,3,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2240",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2241",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"2242",41,1,1,2,10,1,4,1,4,7,1,2,5,4,0,0,5,4,0,0,0,4,0,5,0,0,5,4,0,0,9,6,2,1,5,4,5,0,0,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2243",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2244",33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2245",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2246",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2247",5,1,2,4,1,1,3,1,5,5,1,4,3,4,3,1,3,6,2,0,0,2,2,4,1,2,2,4,2,4,5,4,1,4,7,2,4,3,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2248",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2249",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2250",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2251",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2252",26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2253",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2254",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2255",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2256",30,1,2,4,7,0,5,0,4,5,1,4,4,2,3,0,3,6,0,0,2,2,3,4,0,1,4,2,3,3,6,5,0,4,9,0,6,2,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2257",13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2258",5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2259",10,1,3,2,3,1,6,0,3,6,1,2,0,0,9,1,6,3,3,0,0,0,4,3,1,0,6,3,0,9,0,6,3,1,5,4,4,3,2,2,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2260",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2261",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2262",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2263",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2264",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2265",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2266",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2267",13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2268",29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2269",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2270",37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2271",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"2272",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2273",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2274",7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2275",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2276",23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2277",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2278",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2279",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2280",5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2281",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2282",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2283",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2284",10,1,4,3,3,0,6,0,3,3,2,5,0,4,5,4,0,5,4,1,2,2,2,0,4,0,0,3,3,0,9,7,1,2,6,3,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2285",36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2286",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2287",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2288",35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2289",11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2290",1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2291",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2292",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2293",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2294",40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2295",3,1,2,4,1,2,4,1,3,6,0,3,3,4,3,3,6,1,6,3,0,1,1,0,5,1,3,1,0,1,8,5,3,1,3,6,1,0,3,4,2,8,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2296",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2297",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2298",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2299",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2300",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2301",8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2302",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2303",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2304",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2305",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2306",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2307",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2308",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2309",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2310",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2311",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2312",32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2313",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2314",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2315",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2316",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2317",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2318",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2319",18,1,2,2,4,0,1,0,8,4,1,5,5,3,2,6,3,0,5,1,0,3,1,0,3,2,3,2,0,4,5,4,0,5,2,7,3,2,3,2,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2320",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2321",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2322",1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2323",31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" -"2324",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2325",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2326",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2327",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2328",11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2329",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2330",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2331",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2332",41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2333",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2334",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2335",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2336",35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2337",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2338",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2339",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2340",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2341",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2342",1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2343",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2344",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2345",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2346",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2347",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2348",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2349",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2350",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2351",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2352",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2353",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2354",40,1,2,4,10,2,7,0,0,6,0,3,3,3,4,2,3,4,2,1,6,1,0,0,2,2,6,0,0,0,9,6,3,0,5,4,6,1,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2355",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" -"2356",26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2357",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2358",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2359",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2360",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2361",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2362",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2363",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2364",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2365",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2366",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2367",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2368",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2369",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2370",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2371",10,1,3,3,3,1,5,1,2,7,1,1,2,4,4,3,4,3,2,1,1,3,2,1,3,2,2,2,2,5,4,0,5,4,4,5,3,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2372",31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2373",33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2374",8,1,3,3,2,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2375",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2376",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2377",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2378",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2379",8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2380",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"2381",39,1,2,3,9,1,4,0,4,9,0,0,0,5,4,2,4,3,3,1,1,3,1,2,3,2,1,3,2,1,8,5,4,0,6,3,3,4,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2382",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2383",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2384",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2385",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2386",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2387",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2388",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2389",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2390",36,1,2,4,8,7,0,0,2,9,0,0,0,7,2,3,4,2,5,0,0,0,0,4,3,2,3,0,2,2,7,7,1,2,4,5,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2391",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2392",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2393",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2394",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2395",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2396",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2397",36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2398",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2399",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,0,5,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,2,0,0,0,0,0,"No" -"2400",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2401",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2402",8,1,3,3,2,0,6,1,3,8,0,1,0,3,6,3,5,2,1,1,0,5,1,2,1,3,4,2,0,3,6,8,1,0,3,6,2,4,3,2,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2403",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2404",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2405",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2406",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2407",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2408",6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2409",36,1,3,3,8,2,6,0,2,7,2,0,0,5,4,0,5,4,0,0,2,3,4,1,0,0,5,4,0,9,0,7,2,0,5,4,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2410",32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2411",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2412",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,"No" -"2413",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2414",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2415",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2416",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2417",33,1,3,3,8,1,6,0,3,6,0,3,0,4,5,2,4,4,0,0,0,2,5,3,0,2,3,5,0,3,6,9,0,0,9,0,4,5,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2418",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2419",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2420",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2421",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,1,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2422",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2423",33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2424",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2425",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,4,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2426",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2427",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2428",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2429",8,1,2,3,2,0,5,1,4,6,2,2,2,4,3,1,5,4,2,0,0,3,2,4,1,3,3,3,1,4,5,5,2,3,5,4,5,2,2,0,0,3,7,0,0,0,7,7,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"2430",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2431",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2432",38,1,3,3,9,1,7,1,0,7,0,2,4,1,4,1,5,4,1,0,0,4,5,1,1,3,1,5,1,5,4,4,0,5,8,1,1,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2433",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2434",30,1,2,4,7,0,6,0,3,3,0,6,5,2,2,0,3,6,0,0,2,2,0,5,0,2,2,1,5,7,2,9,0,0,0,9,5,2,2,1,0,3,2,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2435",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2436",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2437",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2438",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2439",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2440",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2441",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2442",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2443",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2444",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2445",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2446",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2447",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2448",2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2449",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2450",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2451",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"2452",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2453",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,5,0,3,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2454",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2455",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,4,3,0,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" -"2456",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2457",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2458",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2459",26,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,2,1,7,1,1,1,1,7,9,0,5,0,4,9,0,4,5,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2460",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2461",3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2462",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2463",36,1,3,3,8,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2464",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2465",39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2466",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2467",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2468",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2469",6,1,5,3,2,2,5,0,2,8,0,1,1,1,8,8,1,0,7,0,0,2,0,0,8,1,0,0,0,0,9,8,1,0,1,8,0,0,4,2,3,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2470",37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2471",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2472",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2473",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2474",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2475",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2476",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2477",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2478",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2479",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2480",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2481",12,1,2,2,3,2,3,2,3,9,0,0,1,6,3,5,4,0,0,0,0,0,8,1,7,0,1,2,0,0,9,7,0,2,5,4,0,0,1,2,7,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2482",22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2483",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2484",21,3,2,3,5,2,3,2,4,4,1,5,5,2,3,3,3,4,4,0,0,3,2,1,3,1,2,3,2,9,0,2,0,7,6,3,5,3,2,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2485",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2486",8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2487",8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2488",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2489",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2490",38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2491",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2492",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2493",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2494",36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2495",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"2496",8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2497",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2498",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2499",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2500",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2501",7,2,3,2,2,0,3,0,6,6,2,2,0,4,5,4,3,2,3,2,0,5,0,0,4,3,0,3,0,0,9,5,1,3,4,5,0,5,4,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2502",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2503",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2504",9,2,3,2,3,2,2,0,6,8,1,1,0,3,6,1,7,1,1,1,0,7,1,1,1,6,1,1,0,5,4,8,1,1,8,1,1,4,4,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,"No" -"2505",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2506",39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2507",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2508",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2509",3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2510",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2511",38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2512",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2513",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2514",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2515",3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2516",24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2517",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2518",35,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2519",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2520",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2521",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2522",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2523",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2524",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2525",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2526",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2527",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2528",10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2529",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2530",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2531",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2532",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2533",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2534",40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2535",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2536",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2537",31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2538",23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2539",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2540",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2541",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2542",18,2,2,2,4,1,1,1,7,3,2,5,5,3,1,4,4,3,3,1,1,4,1,2,3,3,1,3,1,7,2,3,1,6,5,4,4,2,2,2,2,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2543",37,1,3,3,8,0,2,2,7,5,0,4,2,4,4,2,5,3,1,0,0,3,3,2,1,3,4,2,0,9,0,9,0,0,5,4,2,4,3,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2544",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2545",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2546",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2547",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2548",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2549",18,1,1,3,4,1,2,1,7,2,1,6,7,1,1,3,3,3,2,0,0,3,1,4,1,2,4,4,1,9,0,4,0,5,8,1,7,1,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2550",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2551",41,1,3,3,10,0,9,0,0,9,0,0,0,3,6,0,2,7,0,0,4,3,3,0,0,0,5,4,0,0,9,6,3,0,4,5,3,4,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2552",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2553",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2554",23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2555",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2556",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2557",26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2558",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2559",27,1,1,5,6,1,2,2,5,2,0,7,6,3,1,1,3,6,1,1,0,4,2,4,1,1,2,4,3,8,1,2,1,7,8,1,8,1,0,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2560",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2561",31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2562",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2563",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2564",30,1,2,3,7,0,6,0,3,4,1,4,4,3,2,4,2,4,2,0,0,2,2,4,2,2,3,3,1,6,3,0,0,9,2,7,7,1,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2565",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2566",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2567",33,1,3,3,8,1,4,1,4,9,0,0,0,5,4,0,1,8,0,0,0,1,4,4,0,1,0,4,5,1,8,4,1,4,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2568",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2569",11,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2570",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2571",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2572",24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2573",30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2574",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2575",32,1,2,3,7,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2576",11,1,3,4,3,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2577",22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2578",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2579",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2580",30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2581",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,2,0,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2582",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2583",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2584",8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2585",35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"2586",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2587",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2588",33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2589",12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2590",8,2,4,2,2,2,4,1,3,9,0,0,0,2,7,2,5,3,1,0,0,5,2,2,1,4,2,2,1,3,6,8,0,1,7,2,2,3,4,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2591",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2592",26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2593",27,1,3,3,6,3,2,2,3,5,1,3,3,2,4,1,5,4,2,1,1,2,3,2,2,2,2,4,2,3,6,6,0,3,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2594",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,3,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2595",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2596",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2597",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2598",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2599",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2600",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2601",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2602",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2603",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2604",2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2605",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2606",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2607",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2608",39,1,4,3,9,0,7,0,2,9,0,0,0,4,5,0,4,5,0,0,3,0,6,0,0,0,3,6,0,0,9,7,2,0,5,4,0,0,9,0,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"Yes" -"2609",8,1,3,3,2,4,2,0,4,9,0,0,0,5,5,3,4,3,4,0,0,3,0,3,4,3,0,3,0,9,0,9,0,0,5,4,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2610",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2611",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,3,0,0,0,2,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"2612",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2613",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2614",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2615",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2616",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2617",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2618",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2619",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2620",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2621",22,1,2,3,5,3,2,0,5,2,2,6,3,6,1,0,7,2,0,0,0,5,2,2,2,3,2,3,0,4,5,3,0,6,7,2,0,2,5,0,2,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2622",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2623",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2624",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2625",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2626",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2627",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2628",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2629",35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2630",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2631",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" -"2632",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2633",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2634",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2635",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2636",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2637",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2638",3,1,2,3,1,0,5,0,4,6,0,3,2,4,4,3,3,3,4,0,0,5,0,0,1,3,2,5,0,4,5,7,0,2,2,7,3,3,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2639",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2640",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2641",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2642",40,1,2,4,10,0,6,0,3,6,0,3,3,6,1,1,4,4,0,0,2,3,2,4,1,1,3,4,2,1,8,5,2,2,6,3,2,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2643",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2644",5,1,2,5,1,0,4,0,5,5,2,3,4,4,2,3,6,0,3,0,0,5,0,1,3,2,5,1,0,2,7,7,0,2,3,6,0,3,5,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2645",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,3,6,0,0,0,0,6,2,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"2646",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"2647",3,1,2,3,1,0,4,1,4,6,0,3,3,3,3,1,2,6,2,0,0,3,4,1,1,2,2,5,2,5,4,6,3,0,0,9,4,0,4,1,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2648",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2649",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2650",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2651",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2652",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2653",9,1,3,2,3,0,6,0,3,8,0,1,1,1,8,2,6,2,2,0,0,6,1,2,1,6,1,2,0,9,0,4,3,2,5,4,1,3,3,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2654",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2655",21,2,2,1,5,0,0,0,9,0,0,9,5,3,2,0,7,2,0,0,3,0,0,6,0,2,5,3,0,9,0,2,0,7,7,2,6,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2656",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2657",38,1,2,2,9,0,2,2,7,4,1,4,3,4,3,0,7,2,0,0,0,3,0,6,0,3,3,4,0,0,9,4,0,5,8,1,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2658",10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2659",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2660",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2661",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2662",4,2,2,4,1,1,4,1,4,4,2,4,4,4,1,3,5,2,4,2,2,1,1,2,5,1,3,1,1,5,4,2,1,7,4,5,4,3,2,2,1,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,"No" -"2663",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2664",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2665",36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" -"2666",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2667",10,1,3,3,3,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,8,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"2668",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2669",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2670",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2671",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2672",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2673",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2674",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2675",41,1,3,3,10,0,5,2,3,7,0,2,2,3,5,0,5,4,5,0,3,0,0,2,3,1,4,2,0,3,6,4,5,0,4,5,3,3,0,4,0,6,4,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2676",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2677",11,1,3,3,3,0,3,2,5,6,1,3,3,3,4,2,2,6,2,0,1,2,3,4,2,1,2,4,2,1,8,4,0,5,7,2,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2678",25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2679",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2680",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2681",11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2682",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2683",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2684",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2685",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2686",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2687",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2688",38,1,2,2,9,2,2,0,5,0,3,6,6,2,2,0,3,6,1,0,0,3,4,2,0,1,3,4,3,8,1,5,0,4,9,0,7,2,0,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2689",9,1,2,3,3,6,0,0,3,7,2,0,0,7,2,1,6,3,2,0,1,2,4,2,1,1,6,2,0,8,1,3,2,4,7,2,1,5,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2690",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,0,3,0,0,0,0,6,5,0,0,0,0,0,0,6,4,0,0,0,0,0,0,1,0,0,0,0,1,3,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"2691",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2692",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2693",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2694",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2695",41,1,4,3,10,5,4,0,0,5,3,2,0,4,5,0,0,9,0,0,3,0,4,3,0,0,2,3,4,0,9,6,2,2,6,3,7,0,0,2,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2696",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2697",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2698",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2699",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2700",8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2701",29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2702",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2703",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2704",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2705",1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2706",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2707",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2708",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2709",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2710",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2711",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2712",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2713",35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2714",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2715",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2716",33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2717",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2718",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2719",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2720",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2721",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2722",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2723",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2724",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2725",3,1,2,4,1,0,2,0,7,6,0,3,1,5,4,5,3,2,5,0,2,3,1,0,4,0,5,1,1,4,5,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2726",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2727",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2728",9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2729",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2730",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2731",24,1,2,3,5,3,3,0,3,2,2,6,6,2,2,3,3,3,2,0,0,3,2,3,2,0,5,3,0,6,3,3,0,6,6,3,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2732",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2733",8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2734",22,1,3,2,5,6,0,0,3,6,3,0,1,3,5,1,5,4,1,0,0,4,2,4,1,1,4,4,1,9,0,6,3,0,9,0,5,2,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2735",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2736",9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2737",35,1,3,3,8,0,7,1,1,7,0,2,0,0,9,0,2,7,3,0,0,2,0,5,0,2,3,5,0,0,9,5,2,2,4,5,0,0,3,6,0,8,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2738",9,1,2,2,3,2,2,1,5,4,1,4,4,2,4,2,6,2,4,1,0,4,2,1,3,2,2,2,1,8,1,4,2,4,5,4,3,3,3,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2739",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2740",3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2741",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2742",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2743",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2744",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,3,3,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" -"2745",5,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2746",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2747",35,1,3,3,8,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2748",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2749",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2750",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2751",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2752",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2753",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2754",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2755",32,1,2,5,7,1,5,4,1,7,1,1,2,6,2,3,5,2,3,0,0,5,1,1,3,3,2,2,1,8,1,6,1,3,6,3,5,1,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2756",27,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2757",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2758",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2759",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2760",36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2761",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2762",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2763",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2764",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2765",23,1,2,2,5,0,1,1,7,3,2,5,4,4,2,3,6,1,4,0,0,3,2,1,3,2,1,4,1,5,4,9,0,0,4,6,2,2,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2766",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"2767",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2768",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2769",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" -"2770",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2771",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2772",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2773",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2774",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2775",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2776",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2777",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2778",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2779",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2780",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2781",7,1,4,2,2,0,4,0,5,9,0,0,0,2,7,3,4,3,1,0,0,6,3,1,1,4,3,3,0,0,9,8,1,0,5,4,1,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2782",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2783",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2784",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,2,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2785",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"2786",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2787",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2788",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2789",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,3,3,6,0,0,0,2,3,0,0,0,0,0,0,3,0,0,0,0,0,0,1,1,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2790",35,1,3,3,8,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2791",1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2792",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2793",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2794",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2795",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2796",33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2797",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2798",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"2799",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2800",21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2801",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2802",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2803",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2804",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2805",5,1,2,3,1,0,3,3,5,9,0,0,3,5,2,2,4,3,0,0,0,4,3,3,0,3,1,4,2,2,7,7,0,2,4,5,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2806",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2807",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2808",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2809",24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2810",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2811",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2812",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2813",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2814",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" -"2815",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2816",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2817",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2818",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2819",36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2820",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2821",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2822",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2823",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2824",3,1,3,3,1,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"2825",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2826",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2827",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,6,5,0,4,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,1,1,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2828",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2829",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2830",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2831",26,1,3,3,6,0,4,1,4,6,1,3,2,5,3,2,3,5,2,0,1,3,2,3,1,2,3,3,2,3,6,4,0,5,7,2,3,3,2,2,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2832",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2833",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2834",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2835",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2836",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2837",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2838",3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2839",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2840",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2841",13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2842",8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2843",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2844",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2845",8,1,4,3,2,2,6,1,2,7,1,2,0,0,9,5,4,0,3,0,0,3,0,4,3,2,5,0,0,0,9,5,2,2,7,2,0,3,5,3,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2846",13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2847",39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2848",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2849",2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2850",24,1,3,2,5,2,2,0,6,6,3,0,0,0,9,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,9,0,0,9,0,0,9,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2851",32,1,3,3,7,3,2,0,5,3,1,6,0,5,4,4,5,0,1,0,0,3,2,4,0,0,5,4,0,9,0,5,0,4,7,2,0,4,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2852",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2853",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2854",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"2855",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2856",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2857",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2858",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2859",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2860",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2861",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2862",18,1,1,2,4,3,2,0,5,2,0,7,6,2,1,5,4,1,0,0,0,5,3,1,2,1,3,4,1,5,4,4,0,5,6,3,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2863",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2864",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2865",37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2866",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2867",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2868",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2869",37,2,3,4,8,3,3,1,3,9,0,0,2,4,3,2,5,2,3,1,0,2,2,3,2,1,4,3,0,3,6,9,0,0,5,4,3,4,3,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2870",10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2871",33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2872",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2873",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2874",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2875",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2876",2,1,2,3,1,3,4,0,3,9,0,0,3,3,3,2,5,2,5,3,0,2,0,0,4,2,0,3,0,5,4,9,0,0,0,9,2,0,6,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2877",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2878",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2879",41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2880",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2881",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2882",38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2883",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2884",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2885",12,1,2,2,3,5,2,1,2,6,1,2,2,5,3,2,4,3,2,0,0,2,3,3,2,2,2,4,1,5,4,3,4,2,7,2,1,2,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2886",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2887",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2888",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2889",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2890",3,1,3,2,1,0,2,2,6,5,2,3,3,3,4,2,5,3,2,0,0,4,1,3,2,2,3,1,3,3,6,6,0,3,7,2,5,1,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2891",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2892",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2893",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2894",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2895",22,1,2,2,5,1,6,2,2,7,1,2,5,3,2,0,5,4,0,0,0,0,9,0,0,0,0,6,3,5,4,7,1,2,7,2,3,4,0,3,0,4,2,2,0,0,6,0,6,0,0,0,0,0,4,0,0,0,2,0,0,1,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"Yes" -"2896",16,1,1,3,4,1,1,1,7,2,1,7,6,3,1,5,2,2,3,0,0,2,1,4,2,1,4,3,2,6,3,3,0,6,6,3,8,1,1,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2897",10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2898",31,1,3,3,7,1,2,2,6,7,2,1,1,4,5,1,4,4,2,0,0,4,2,2,1,2,2,5,0,6,3,6,1,2,6,3,3,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2899",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2900",36,1,2,2,8,0,4,0,5,9,0,0,0,9,0,0,0,9,1,0,3,3,2,2,0,0,0,4,5,5,5,9,0,0,7,2,6,3,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2901",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2902",9,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2903",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2904",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2905",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2906",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2907",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,3,0,0,0,0,6,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,2,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2908",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2909",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2910",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2911",33,1,3,3,8,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2912",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2913",28,1,1,6,6,2,5,2,0,0,0,9,8,1,0,1,2,7,1,0,1,4,5,1,1,0,1,6,2,8,1,0,0,9,9,0,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2914",1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2915",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2916",26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2917",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2918",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2919",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2920",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2921",35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2922",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2923",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2924",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2925",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2926",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"2927",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2928",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2929",23,2,2,4,5,3,4,1,2,5,1,3,4,4,2,2,4,4,3,0,1,4,0,2,2,2,3,4,1,6,3,7,2,0,4,5,4,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2930",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2931",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2932",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2933",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2934",33,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" -"2935",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2936",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2937",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2938",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"2939",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2940",7,1,2,1,2,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2941",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"No" -"2942",10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2943",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2944",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2945",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2946",23,1,3,3,5,1,5,1,4,4,1,5,3,2,5,2,4,3,1,0,0,4,2,3,1,1,5,3,1,8,1,4,1,4,6,3,6,3,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2947",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2948",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2949",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2950",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"2951",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2952",3,1,2,4,1,1,5,1,3,7,0,2,2,4,4,3,4,3,3,2,1,3,2,0,4,2,2,2,1,5,4,6,2,2,3,6,2,3,4,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2953",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2954",2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,"Yes" -"2955",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2956",3,1,2,5,1,2,5,1,2,4,1,5,3,5,1,2,5,3,6,1,0,2,1,1,4,2,4,1,1,3,6,7,2,1,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2957",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2958",23,1,3,2,5,2,2,1,6,5,2,3,3,2,5,2,4,3,2,1,1,4,2,2,2,2,3,3,1,4,5,7,1,2,4,5,2,3,3,2,1,5,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2959",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2960",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2961",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2962",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2963",30,1,2,4,7,0,4,0,5,3,2,4,4,4,2,2,2,6,3,0,3,0,0,4,3,0,3,4,0,2,7,6,3,0,2,7,4,0,6,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2964",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2965",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2966",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2967",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2968",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2969",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2970",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2971",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2972",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2973",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2974",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2975",31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2976",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2977",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2978",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2979",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2980",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2981",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2982",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"2983",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2984",3,1,2,4,1,0,8,0,1,7,2,0,0,5,4,2,1,6,4,2,0,2,2,2,2,1,2,3,2,3,6,6,2,2,4,5,2,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2985",11,1,3,3,3,1,5,0,3,8,1,0,2,3,5,2,2,5,2,0,2,3,3,0,2,0,4,2,2,2,7,7,2,0,5,4,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2986",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2987",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2988",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2989",33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2990",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2991",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2992",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2993",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2994",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2995",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2996",38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2997",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2998",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2999",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3000",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3001",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3002",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3003",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3004",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3005",37,1,3,2,8,1,3,3,3,5,0,4,3,1,5,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,6,2,3,8,1,7,1,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3006",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3007",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3008",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3009",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"3010",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3011",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3012",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,5,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3013",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3014",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3015",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3016",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3017",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3018",8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3019",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3020",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3021",11,1,3,2,3,6,1,2,2,6,2,1,1,3,6,2,4,4,2,2,0,2,3,2,3,2,2,4,1,6,3,5,2,3,5,4,1,4,5,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3022",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3023",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3024",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3025",29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3026",25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3027",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3028",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3029",3,1,1,4,1,3,4,0,3,5,0,4,5,4,0,2,7,0,4,0,0,3,1,2,0,5,3,2,0,0,9,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3030",32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3031",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3032",7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3033",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3034",25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3035",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3036",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3037",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3038",38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3039",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3040",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3041",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3042",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"No" -"3043",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3044",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3045",34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,4,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3046",3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3047",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3048",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3049",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3050",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3051",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3052",34,1,3,3,8,0,3,3,5,9,0,0,0,3,6,3,6,0,1,0,0,8,1,0,1,6,3,0,0,0,9,3,6,0,0,9,0,0,1,8,1,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3053",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"3054",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3055",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3056",34,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3057",3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3058",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3059",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3060",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3061",23,1,2,2,5,2,0,3,6,7,0,2,3,3,3,1,1,8,2,0,0,1,5,3,1,1,1,7,1,8,1,4,2,4,3,6,1,6,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3062",36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3063",24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3064",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3065",11,1,3,3,3,3,4,1,2,5,0,4,4,1,5,3,5,2,5,0,0,3,2,1,2,2,3,2,1,7,2,8,1,0,8,1,2,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3066",31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3067",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3068",41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3069",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3070",24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3071",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3072",32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3073",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3074",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3075",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3076",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3077",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3078",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3079",13,1,3,2,3,0,4,0,5,9,0,0,5,2,3,2,5,2,6,0,0,3,0,0,1,1,2,3,2,7,2,9,0,0,7,2,6,0,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3080",11,1,3,2,3,7,0,2,0,6,0,3,1,4,4,1,5,4,1,0,0,3,2,4,1,2,2,5,2,3,6,9,0,0,6,3,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3081",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3082",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3083",33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3084",1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3085",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3086",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3087",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3088",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3089",36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3090",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3091",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3092",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3093",28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3094",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3095",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3096",8,1,3,3,2,5,0,2,3,6,0,3,0,3,6,0,5,4,2,0,0,4,2,2,2,2,3,5,0,1,8,7,2,0,5,4,2,6,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3097",29,1,2,3,7,0,9,0,0,5,0,4,2,4,3,0,9,0,4,0,0,5,0,0,4,5,0,0,0,2,7,7,2,0,3,6,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3098",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3099",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3100",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3101",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3102",32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3103",41,1,2,3,10,0,3,0,6,5,0,4,2,4,3,2,5,2,4,0,2,4,1,0,4,3,3,1,0,2,7,8,1,0,5,4,1,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3104",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3105",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3106",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3107",11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3108",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3109",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3110",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3111",12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3112",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3113",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3114",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3115",1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"3116",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3117",26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3118",9,1,3,2,3,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3119",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3120",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3121",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3122",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"Yes" -"3123",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3124",25,1,2,4,6,1,5,1,3,5,1,4,5,3,2,2,2,6,4,1,1,3,2,2,2,1,2,4,2,6,3,6,0,3,5,4,3,4,3,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3125",32,1,2,4,7,2,5,0,2,5,2,3,3,5,2,2,3,4,2,0,0,4,2,2,2,1,2,5,1,7,3,6,0,3,7,2,4,3,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3126",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3127",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3128",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3129",4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3130",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3131",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3132",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3133",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3134",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3135",8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3136",37,1,2,3,8,0,6,1,3,4,3,3,2,5,3,0,4,5,3,0,0,3,2,2,1,1,3,5,1,8,1,6,0,3,7,2,2,2,5,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3137",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3138",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3139",34,1,3,3,8,1,5,1,4,6,1,3,1,2,7,4,2,4,2,0,0,6,1,1,4,1,2,3,0,1,8,8,1,0,6,3,1,2,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3140",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3141",30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3142",38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3143",35,1,2,3,8,0,0,2,7,4,3,3,3,2,4,5,4,0,3,2,0,3,2,0,4,2,2,2,0,9,0,7,0,2,6,3,2,5,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3144",27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3145",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3146",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3147",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3148",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3149",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3150",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3151",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3152",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3153",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3154",39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3155",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3156",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3157",34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3158",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3159",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3160",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3161",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3162",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3163",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3164",6,1,3,3,2,1,4,2,4,9,0,0,0,4,5,5,3,2,5,0,0,2,2,1,5,2,2,2,0,0,9,7,2,0,2,7,0,2,3,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3165",24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3166",37,1,2,2,8,0,4,0,5,5,2,2,1,5,3,1,5,3,1,0,1,7,1,1,1,4,2,3,0,1,8,6,2,1,4,5,2,3,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3167",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3168",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3169",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3170",24,1,3,2,5,0,2,3,5,6,1,3,2,2,5,2,2,6,0,0,0,3,2,4,0,2,2,5,1,8,1,6,2,2,9,0,5,3,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3171",33,1,2,4,8,0,8,0,1,7,0,2,0,7,2,0,4,5,0,1,0,2,6,2,0,1,2,7,1,1,8,7,2,0,7,2,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3172",23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"3173",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3174",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3175",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3176",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3177",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3178",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3179",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3180",18,1,1,2,4,1,2,1,6,2,2,7,7,1,2,3,6,1,2,1,0,6,1,2,2,4,3,1,0,6,3,6,1,3,5,4,4,3,2,1,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3181",23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3182",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3183",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3184",24,1,2,2,5,0,3,2,5,2,2,6,3,3,3,3,4,3,3,0,0,0,0,6,1,2,2,4,2,9,0,3,0,6,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3185",8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3186",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3187",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3188",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3189",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3190",7,1,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3191",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3192",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"3193",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3194",17,1,2,2,4,0,0,2,7,4,2,4,4,2,3,5,4,0,2,2,0,4,1,2,4,3,2,1,1,7,2,5,0,4,5,4,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3195",13,1,3,2,3,0,2,0,7,5,0,4,4,1,5,2,3,4,0,0,0,9,0,0,0,3,2,4,0,1,8,9,0,0,6,3,0,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"3196",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3197",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3198",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3199",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3200",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3201",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3202",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3203",24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3204",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,3,6,6,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,2,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,"No" -"3205",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3206",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3207",33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3208",39,1,3,3,9,2,6,1,2,6,2,2,0,3,6,0,6,3,0,0,3,2,0,4,0,2,2,5,0,4,5,5,2,3,6,3,5,4,0,0,0,3,5,0,3,0,6,0,0,0,0,0,0,0,6,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3209",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3210",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3211",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3212",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3213",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3214",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,2,6,0,4,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3215",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"3216",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3217",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3218",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3219",8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3220",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3221",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3222",32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3223",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3224",2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3225",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,"No" -"3226",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3227",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3228",36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3229",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3230",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3231",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3232",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3233",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3234",10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3235",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,"No" -"3236",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"3237",8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3238",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3239",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3240",39,1,3,3,9,0,6,3,0,9,0,0,1,4,4,2,3,5,2,0,1,3,1,3,2,1,1,6,0,2,7,4,4,2,4,5,1,4,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3241",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3242",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3243",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,6,0,6,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3244",12,1,4,2,3,1,7,0,2,8,0,1,1,3,6,3,5,2,1,0,2,3,4,0,2,1,4,3,1,0,9,7,2,0,5,4,0,8,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3245",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3246",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3247",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3248",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3249",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3250",29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3251",40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3252",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3253",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3254",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3255",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3256",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3257",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3258",41,1,3,3,10,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3259",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3260",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3261",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3262",28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3263",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3264",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3265",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3266",28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3267",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3268",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3269",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3270",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3271",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3272",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3273",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3274",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3275",8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3276",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3277",38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3278",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3279",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3280",9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3281",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3282",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3283",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3284",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3285",11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3286",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3287",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3288",35,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3289",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3290",25,1,2,3,6,6,0,0,3,4,0,5,4,0,5,0,4,5,0,0,0,0,6,3,0,0,5,4,0,6,3,4,0,5,6,3,3,4,2,2,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3291",32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3292",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3293",24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3294",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3295",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3296",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3297",36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3298",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3299",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3300",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3301",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3302",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3303",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3304",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3305",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3306",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3307",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3308",31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3309",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3310",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3311",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3312",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3313",8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3314",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3315",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3316",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3317",24,1,2,3,5,0,4,0,5,4,1,5,5,1,4,0,4,5,0,0,0,3,6,1,0,3,0,6,1,5,4,6,0,3,7,2,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3318",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3319",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3320",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3321",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" -"3322",41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,3,0,0,0,0,0,6,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"3323",8,1,4,3,2,3,2,0,5,8,1,0,0,1,8,6,3,1,4,0,0,4,1,0,5,4,1,1,0,0,9,7,1,1,1,8,0,0,3,6,1,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3324",20,1,4,3,5,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3325",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3326",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3327",23,2,2,3,5,2,5,2,2,5,1,3,4,2,4,2,4,4,5,0,0,3,1,1,4,1,2,3,1,2,7,6,0,3,5,4,3,2,4,0,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3328",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3329",24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3330",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3331",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3332",41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3333",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3334",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3335",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"3336",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3337",8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3338",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3339",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3340",24,1,2,3,5,0,5,0,4,7,0,2,2,3,5,2,2,6,3,0,2,3,1,3,1,2,4,4,0,4,5,5,3,2,5,4,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3341",3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3342",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3343",3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3344",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3345",20,1,1,3,5,0,3,2,5,1,1,8,7,2,1,2,2,6,1,0,0,3,3,4,1,2,2,5,1,9,0,5,0,4,7,2,5,4,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3346",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3347",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3348",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3349",3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3350",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3351",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3352",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3353",31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3354",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3355",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3356",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3357",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3358",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3359",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3360",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3361",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3362",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3363",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3364",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3365",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3366",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3367",8,1,4,2,2,0,2,0,7,9,0,0,0,0,8,3,0,6,3,0,0,0,3,3,3,0,0,6,0,0,9,5,2,2,5,4,6,0,0,3,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3368",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3369",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3370",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3371",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3372",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3373",3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3374",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3375",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3376",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3377",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3378",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3379",31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3380",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3381",34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"3382",36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3383",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3384",33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3385",35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"3386",40,1,2,4,10,0,4,0,5,5,2,2,4,2,4,0,1,8,4,0,2,2,3,0,0,0,5,4,0,9,0,6,2,2,6,3,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3387",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3388",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3389",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3390",6,1,4,3,2,6,3,0,0,4,0,5,1,4,4,1,8,0,1,0,0,5,3,0,1,1,7,0,0,0,9,7,2,0,4,5,0,2,4,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3391",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3392",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3393",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3394",38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3395",24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3396",25,1,2,3,6,0,5,0,4,5,0,4,3,3,3,2,3,5,0,0,0,3,1,6,0,2,2,6,0,9,0,7,0,2,5,4,5,3,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3397",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"3398",33,1,3,3,8,0,7,0,2,5,1,4,2,3,4,1,3,5,3,0,1,3,1,2,2,1,4,3,2,4,5,4,2,3,6,3,4,3,2,0,1,4,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3399",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3400",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3401",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3402",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3403",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3404",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,5,0,6,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"3405",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3406",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3407",30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3408",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3409",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3410",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3411",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3412",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3413",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3414",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3415",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3416",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3417",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3418",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3419",12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3420",32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3421",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3422",36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3423",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3424",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3425",23,1,2,2,5,1,2,1,6,4,2,4,3,2,4,4,4,2,2,1,0,3,2,3,2,2,3,3,1,7,2,5,1,4,5,4,4,3,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3426",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3427",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3428",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3429",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3430",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3431",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3432",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3433",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3434",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3435",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3436",32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3437",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3438",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3439",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"3440",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3441",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3442",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3443",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3444",33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3445",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3446",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3447",33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3448",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3449",25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3450",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3451",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3452",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3453",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3454",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3455",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3456",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3457",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3458",10,1,4,3,3,8,1,0,1,6,1,3,0,1,8,3,3,4,5,0,0,3,2,0,3,2,1,2,3,5,4,6,1,3,5,4,4,2,2,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3459",8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3460",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3461",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3462",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3463",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3464",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3465",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3466",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"3467",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3468",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3469",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3470",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3471",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3472",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3473",9,1,1,2,3,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3474",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3475",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3476",33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3477",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3478",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3479",37,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3480",41,1,3,3,10,1,5,1,4,7,1,2,2,3,5,2,3,5,2,1,2,1,4,1,3,1,2,4,1,2,7,6,3,1,6,3,2,3,4,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3481",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3482",4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3483",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3484",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3485",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3486",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3487",11,1,3,2,3,0,2,4,4,7,0,2,1,4,4,3,5,2,2,0,0,4,1,3,1,3,3,3,1,5,4,7,0,2,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3488",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3489",2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3490",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3491",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3492",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3493",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3494",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3495",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3496",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"3497",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3498",33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3499",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3500",39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"3501",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3502",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3503",30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3504",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3505",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3506",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3507",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"3508",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3509",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3510",39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"3511",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3512",33,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3513",8,1,4,3,2,4,2,0,4,8,1,0,0,2,7,5,3,1,2,0,0,6,1,2,5,3,1,1,0,0,9,7,2,0,4,5,0,1,4,2,3,8,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3514",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3515",11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3516",34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3517",9,1,1,3,3,0,9,0,0,0,0,9,9,0,0,0,0,9,0,0,0,0,9,0,0,0,0,7,2,9,0,0,0,9,9,0,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3518",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3519",30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3520",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3521",12,1,3,2,3,0,5,3,2,4,3,3,0,3,6,3,6,0,2,0,0,5,0,2,2,5,2,0,0,6,3,7,0,2,5,4,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3522",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3523",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3524",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3525",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3526",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3527",32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,2,4,0,6,0,0,0,0,0,0,0,6,0,0,0,7,0,0,0,3,0,1,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"No" -"3528",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3529",33,1,2,3,8,0,5,0,4,7,0,2,5,0,4,0,0,9,3,0,2,3,1,3,0,0,0,9,0,5,4,5,3,2,5,4,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3530",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3531",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3532",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3533",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3534",36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3535",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3536",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3537",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3538",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3539",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3540",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3541",9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,0,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3542",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3543",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3544",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3545",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3546",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3547",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3548",38,1,3,2,9,3,2,2,3,9,0,0,0,0,9,3,6,0,3,0,0,6,0,0,3,4,3,0,0,9,0,9,0,0,4,5,0,0,9,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3549",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3550",18,1,1,1,4,0,5,0,5,0,0,9,9,0,0,9,0,0,0,0,0,0,0,9,9,0,0,0,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3551",9,1,3,2,3,2,2,1,6,3,1,5,4,2,4,2,5,2,4,0,0,4,2,1,3,2,2,2,1,7,2,5,2,2,6,3,0,4,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3552",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3553",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3554",37,1,3,3,8,0,3,2,4,6,0,3,2,4,4,1,2,6,2,0,0,2,3,4,1,0,3,5,2,1,8,6,2,2,8,1,3,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3555",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"3556",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3557",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3558",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3559",11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3560",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,6,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3561",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3562",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3563",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3564",9,2,4,3,3,1,1,1,7,9,0,0,0,0,9,2,4,4,0,0,0,4,3,3,0,3,0,4,2,9,0,4,1,5,6,3,3,0,4,3,0,6,5,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3565",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3566",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3567",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3568",33,1,2,3,8,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3569",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3570",8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3571",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3572",12,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3573",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3574",33,1,3,3,8,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3575",33,1,3,5,8,3,6,0,0,9,0,0,0,7,2,2,0,7,0,0,2,2,5,0,0,2,2,6,0,7,2,6,0,3,9,0,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3576",25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3577",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3578",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3579",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3580",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3581",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"3582",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3583",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3584",13,1,3,2,3,0,5,1,4,4,3,2,2,1,6,2,7,1,2,0,0,4,3,2,1,1,3,5,1,4,5,8,0,1,9,0,3,4,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"3585",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3586",35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3587",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3588",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3589",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3590",3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3591",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3592",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3593",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3594",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3595",11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3596",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3597",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3598",8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3599",23,1,2,2,5,2,4,0,4,1,3,5,5,3,2,2,5,3,0,0,0,2,5,2,0,2,3,5,0,9,0,4,0,5,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3600",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3601",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3602",39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3603",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3604",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3605",30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3606",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3607",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3608",25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3609",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3610",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3611",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3612",3,1,2,5,1,2,3,4,2,7,0,2,2,6,2,2,5,3,3,1,2,2,0,3,2,2,4,2,0,6,3,7,0,2,6,3,1,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3613",23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3614",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3615",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3616",13,1,3,4,3,3,3,1,3,4,0,5,3,4,3,4,3,3,3,0,0,0,3,4,1,0,3,3,3,4,5,7,0,2,6,3,3,4,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3617",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3618",23,1,1,1,5,2,5,0,3,2,4,4,5,4,1,1,6,3,1,0,2,2,5,2,2,0,2,4,1,8,1,4,0,5,9,0,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3619",8,1,3,2,2,0,9,0,0,9,0,0,0,5,4,0,7,2,2,0,0,2,2,4,2,0,3,4,0,3,6,5,0,5,9,0,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3620",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3621",22,3,2,2,5,1,2,0,7,1,7,2,2,6,2,2,3,5,1,0,0,5,2,1,2,1,3,5,1,8,1,8,0,1,8,1,4,3,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3622",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3623",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3624",11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3625",35,1,3,3,8,5,2,0,3,5,2,3,2,4,3,0,4,5,2,0,0,0,7,0,2,0,0,6,2,9,0,7,2,0,4,5,3,3,4,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3626",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3627",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3628",41,1,4,2,10,4,4,0,2,6,3,0,0,3,6,2,2,6,0,0,4,2,2,3,2,0,4,4,0,0,9,7,2,0,6,3,5,0,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3629",3,1,2,2,1,0,2,0,7,5,0,4,4,4,2,7,2,0,7,0,0,2,0,0,7,2,0,0,0,0,9,6,3,0,4,5,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3630",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3631",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3632",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3633",20,1,3,3,5,2,1,1,6,5,3,2,1,3,5,1,3,5,1,1,0,2,4,3,1,1,2,6,1,8,1,5,1,4,6,3,4,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3634",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3635",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3636",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3637",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3638",22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3639",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3640",25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3641",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3642",36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3643",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3644",13,1,3,3,3,1,6,0,3,7,2,0,0,6,3,1,8,1,3,3,0,3,0,1,2,2,4,1,2,2,7,7,0,2,4,5,0,1,8,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3645",37,1,3,3,8,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3646",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3647",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3648",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3649",41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3650",25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3651",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,4,0,0,0,0,0,0,0,4,0,8,0,0,0,4,0,0,0,0,0,1,1,0,0,0,0,0,0,0,2,0,1,0,0,0,1,0,0,0,0,0,"No" -"3652",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3653",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3654",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3655",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3656",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3657",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3658",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3659",26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3660",31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3661",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3662",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3663",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3664",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,3,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3665",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3666",7,1,4,3,2,0,5,0,4,9,0,0,0,3,6,4,5,0,0,0,0,6,0,3,0,3,6,0,0,0,9,5,4,0,4,5,0,0,3,6,0,8,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3667",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3668",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,0,0,0,0,0,2,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" -"3669",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3670",37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3671",35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,4,6,0,0,0,2,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3672",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3673",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3674",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3675",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3676",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3677",6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3678",11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3679",8,2,3,4,2,4,3,1,3,5,2,3,0,7,2,0,5,4,0,0,5,0,5,0,0,0,5,4,0,6,3,7,2,0,4,5,2,6,2,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3680",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3681",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3682",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3683",20,1,1,6,5,0,6,0,3,0,0,9,9,0,0,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,0,0,9,9,0,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3684",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3685",40,1,3,3,10,1,5,1,3,6,1,2,2,4,4,2,4,4,2,0,4,3,1,1,3,2,4,2,0,1,8,6,3,1,3,6,2,2,5,2,1,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3686",1,1,3,3,1,0,5,0,4,9,0,0,0,3,6,6,3,0,6,2,0,1,0,1,8,1,0,0,0,0,9,9,0,0,3,6,0,1,3,4,3,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3687",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3688",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3689",3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3690",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3691",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3692",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3693",12,1,2,3,3,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3694",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3695",9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3696",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3697",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3698",37,1,3,3,8,0,5,1,3,7,2,1,1,4,5,3,4,3,2,0,1,6,2,0,2,3,2,3,0,4,5,3,3,4,7,2,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3699",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3700",6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3701",33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3702",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3703",3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3704",24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,"Yes" -"3705",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3706",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3707",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3708",37,1,3,3,8,0,6,0,3,7,0,2,0,4,5,1,1,8,0,0,0,9,0,0,0,0,1,8,0,3,6,6,1,2,7,2,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3709",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3710",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3711",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3712",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3713",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3714",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3715",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3716",24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"3717",37,2,2,2,8,0,5,1,3,7,1,1,1,4,4,1,6,2,2,0,0,4,4,0,2,2,1,4,0,3,6,7,2,0,6,3,1,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3718",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3719",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3720",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3721",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3722",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,5,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3723",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3724",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3725",37,1,2,3,8,1,5,3,2,4,3,2,2,5,3,2,5,2,3,0,0,5,1,1,1,2,3,3,0,8,1,7,1,2,7,2,1,3,4,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3726",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3727",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3728",11,1,3,3,3,0,0,3,6,9,0,0,0,3,6,5,4,0,4,1,0,3,1,2,5,3,2,0,0,8,1,9,0,0,0,9,0,2,2,3,3,0,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3729",23,1,2,2,5,1,2,2,5,5,2,2,4,4,1,1,4,4,2,0,0,3,2,4,1,2,1,5,1,7,2,6,1,3,8,1,2,5,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3730",38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3731",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3732",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3733",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3734",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3735",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3736",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3737",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3738",24,1,2,3,5,1,3,3,3,4,2,4,3,3,3,0,3,6,0,0,0,4,1,4,0,0,3,6,1,9,0,3,0,6,8,1,7,2,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3739",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3740",41,1,3,2,10,0,7,0,2,8,0,1,1,6,3,0,4,5,0,0,4,3,0,3,0,2,6,2,1,0,9,8,1,1,2,7,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3741",36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3742",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3743",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3744",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3745",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3746",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"3747",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3748",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3749",8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3750",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3751",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3752",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3753",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3754",20,1,3,3,5,1,7,0,1,9,0,0,0,3,6,1,3,5,1,0,0,2,4,3,1,1,2,6,1,6,3,7,2,0,7,2,1,4,4,2,0,5,2,0,0,0,6,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,"Yes" -"3755",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3756",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3757",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3758",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3759",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3760",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3761",38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3762",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3763",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3764",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,"No" -"3765",36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3766",24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3767",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3768",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3769",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3770",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3771",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3772",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3773",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3774",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3775",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3776",8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3777",10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3778",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3779",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3780",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3781",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3782",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3783",6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3784",10,1,3,2,3,0,5,3,2,4,3,3,0,2,7,0,4,5,0,0,0,3,3,4,0,0,2,7,0,7,2,7,0,2,5,4,2,2,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"3785",25,1,2,3,6,2,3,1,4,6,2,2,2,4,4,2,4,4,3,1,1,4,1,2,2,2,3,3,1,2,7,6,1,2,6,3,2,3,4,2,1,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3786",37,1,3,3,8,2,3,3,2,5,1,3,4,3,3,3,4,3,4,0,0,3,2,2,2,2,2,3,2,5,4,6,1,3,4,5,3,1,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3787",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3788",1,2,3,3,1,2,4,0,4,8,0,1,0,0,9,6,3,0,4,0,0,3,0,3,6,3,0,0,0,0,9,3,4,3,5,4,0,0,0,5,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3789",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3790",39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3791",1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3792",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3793",26,1,1,6,6,0,5,0,4,2,0,7,7,2,0,0,0,9,2,1,3,2,1,3,0,0,4,3,2,8,1,2,0,7,6,3,9,0,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3794",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3795",24,1,2,1,5,0,7,0,2,6,0,3,0,9,0,0,5,5,0,0,0,0,5,5,0,0,0,9,0,9,0,3,2,5,6,3,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3796",38,1,3,3,9,0,7,0,2,9,0,0,1,3,6,0,1,8,0,0,0,1,2,6,0,0,1,6,3,9,0,7,0,2,5,4,3,6,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3797",11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3798",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3799",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3800",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3801",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3802",25,1,2,4,6,4,0,0,5,2,0,7,6,2,2,0,5,5,1,0,0,2,0,6,1,2,2,5,0,9,0,6,0,3,6,3,0,3,5,2,0,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3803",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3804",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3805",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3806",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3807",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3808",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3809",3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3810",34,1,3,3,8,1,4,1,4,7,1,2,0,3,6,0,6,3,0,0,0,9,0,0,0,0,0,9,0,9,0,6,2,1,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3811",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3812",11,1,2,2,3,3,3,0,4,5,2,2,1,5,3,4,4,2,3,0,0,5,2,1,4,3,2,2,0,4,5,6,1,3,6,3,1,2,4,3,1,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3813",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3814",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3815",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3816",22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3817",6,2,3,4,2,0,4,3,4,9,0,0,0,4,5,3,4,2,5,0,0,2,2,0,4,0,2,3,0,2,7,8,1,0,6,3,3,0,6,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3818",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3819",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3820",41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3821",34,1,3,3,8,3,2,1,4,8,0,1,1,5,4,3,4,3,3,1,0,4,1,3,3,2,2,3,0,2,7,7,2,0,3,6,0,3,4,2,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3822",30,1,1,5,7,1,3,0,5,6,1,2,5,3,1,0,3,6,3,0,0,0,3,4,0,1,3,2,5,6,3,7,2,0,4,5,6,1,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3823",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3824",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3825",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3826",11,1,2,3,3,0,8,0,1,4,0,5,4,2,4,3,3,4,5,0,0,4,1,1,3,2,1,3,2,4,5,3,2,5,7,2,5,0,3,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3827",22,1,2,3,5,0,2,0,7,4,0,5,4,4,1,2,5,3,3,0,0,2,3,3,2,3,0,4,0,6,3,4,0,5,7,2,3,3,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3828",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3829",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3830",22,1,2,3,5,5,1,1,3,5,1,4,3,4,3,2,2,5,1,1,0,5,1,2,1,2,3,4,2,7,2,6,1,3,5,4,2,2,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3831",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3832",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3833",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3834",31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3835",6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3836",13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3837",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3838",8,1,3,3,2,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3839",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3840",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3841",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3842",31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3843",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3844",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3845",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3846",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3847",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,7,0,0,0,2,5,0,3,0,0,0,0,6,0,0,0,0,0,0,0,1,4,0,0,0,1,2,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3848",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3849",25,1,1,5,6,1,5,1,3,2,0,7,7,1,2,2,5,3,1,2,1,5,1,2,2,1,5,2,0,1,8,4,1,4,3,6,1,7,1,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3850",3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,2,4,0,7,0,0,0,0,0,0,0,0,0,0,6,7,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" -"3851",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3852",27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3853",35,1,1,2,8,0,9,0,0,6,0,3,9,0,0,0,9,0,0,0,0,0,0,9,0,0,9,0,0,9,0,6,0,3,4,5,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3854",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,2,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3855",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3856",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3857",11,1,3,3,3,0,2,2,5,3,0,6,3,1,5,2,4,3,4,0,2,2,2,2,3,1,3,2,2,4,5,3,0,6,9,0,4,2,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"3858",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3859",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3860",25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3861",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3862",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3863",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3864",23,3,2,4,5,0,4,1,4,7,0,2,4,2,4,2,4,4,3,1,0,2,1,3,2,1,2,2,3,5,4,9,0,0,4,5,3,3,2,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3865",3,1,2,3,1,0,9,0,0,6,0,3,4,3,2,0,5,4,3,0,0,2,2,4,1,1,3,4,0,6,3,6,0,3,4,5,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3866",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3867",37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3868",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3869",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3870",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3871",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3872",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3873",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3874",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3875",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3876",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" -"3877",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3878",7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3879",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3880",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3881",36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3882",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3883",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3884",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3885",23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3886",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3887",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3888",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3889",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3890",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3891",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3892",38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3893",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3894",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3895",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3896",24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3897",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3898",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3899",9,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,4,3,1,0,0,6,0,2,1,3,4,3,0,6,3,5,1,3,8,1,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3900",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3901",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3902",26,1,2,5,6,0,8,1,1,5,0,4,3,5,1,1,3,5,1,0,0,2,1,6,1,1,3,3,2,6,3,4,0,5,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3903",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3904",33,1,3,3,8,2,7,0,0,5,2,2,0,3,6,0,2,7,0,0,0,0,3,6,0,2,0,4,3,9,0,2,2,5,9,0,0,3,6,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"3905",39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3906",31,1,3,1,7,4,0,0,5,4,0,5,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,9,0,7,2,0,4,5,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3907",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3908",35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3909",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3910",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3911",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3912",32,1,2,4,7,0,4,3,3,4,0,5,4,2,3,0,1,8,0,0,0,1,0,8,0,1,0,2,7,8,1,5,2,3,4,5,6,3,1,1,0,2,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3913",39,1,2,3,9,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3914",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3915",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3916",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3917",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3918",1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,"Yes" -"3919",25,1,2,4,6,2,2,1,5,4,1,5,4,4,2,2,5,3,2,0,0,5,2,1,2,2,3,3,1,8,1,4,1,5,6,3,3,3,2,2,1,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3920",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3921",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3922",24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3923",33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3924",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3925",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3926",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3927",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3928",3,1,2,3,1,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3929",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3930",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3931",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3932",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,4,0,6,6,0,4,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3933",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"3934",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3935",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3936",40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3937",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3938",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3939",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,3,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3940",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3941",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3942",5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3943",33,1,3,3,8,5,2,0,3,5,2,3,1,5,3,0,3,6,2,0,0,0,7,0,3,0,0,6,1,9,0,7,2,0,4,5,3,4,3,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3944",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3945",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3946",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3947",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,"No" -"3948",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3949",33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3950",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3951",10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"3952",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3953",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3954",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3955",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3956",31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3957",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3958",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,1,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3959",10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3960",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3961",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3962",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3963",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3964",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,5,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3965",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3966",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3967",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3968",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3969",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3970",32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3971",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3972",7,1,3,2,2,0,0,0,9,2,6,2,0,4,5,4,4,2,5,2,0,3,0,0,6,0,2,2,0,2,7,6,0,3,2,7,0,0,4,5,0,7,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3973",7,1,2,3,2,0,9,0,0,4,2,3,2,2,5,3,2,5,2,0,0,3,4,0,1,2,3,4,0,5,4,5,2,3,4,5,2,4,2,2,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3974",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3975",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3976",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3977",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3978",23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3979",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3980",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3981",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3982",1,1,2,4,1,0,4,3,2,9,0,0,3,6,2,6,3,0,8,0,0,0,0,1,8,0,1,0,0,1,8,5,4,0,2,7,1,0,1,7,2,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3983",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3984",37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3985",39,1,2,4,9,0,4,0,5,6,0,3,3,4,3,0,3,6,2,0,0,0,6,2,0,0,3,6,0,3,6,6,2,3,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3986",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3987",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3988",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3989",10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3990",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3991",22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3992",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3993",3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3994",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3995",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3996",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3997",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3998",8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3999",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4000",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4001",36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4002",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4003",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4004",36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4005",16,1,1,1,4,2,2,1,6,2,2,6,9,0,0,9,0,0,3,0,0,4,1,3,0,2,7,0,0,9,0,2,1,7,4,5,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4006",16,2,1,2,4,1,2,0,6,0,1,8,8,1,1,7,2,1,3,1,0,3,1,3,3,1,5,1,1,8,1,1,0,8,4,5,7,1,1,1,1,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4007",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4008",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4009",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4010",36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4011",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4012",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4013",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4014",24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4015",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4016",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,4,6,0,4,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4017",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4018",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4019",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4020",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4021",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4022",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4023",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4024",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4025",27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4026",32,1,2,3,7,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4027",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4028",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"4029",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,3,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4030",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4031",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4032",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4033",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4034",41,1,3,3,10,2,5,0,2,8,0,1,1,3,6,2,2,6,0,2,4,2,2,1,1,3,5,2,0,1,8,4,5,0,2,7,5,1,0,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,3,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,"No" -"4035",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4036",29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4037",8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4038",39,2,4,3,9,1,6,2,1,9,0,0,1,0,8,4,3,3,2,0,0,2,4,2,3,3,4,1,0,6,3,6,2,1,6,3,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"4039",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4040",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4041",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4042",32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4043",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4044",8,1,3,3,2,1,2,1,5,7,1,2,1,3,5,1,3,5,1,1,0,4,3,2,1,2,2,5,1,8,1,6,1,2,6,3,3,4,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4045",6,1,3,2,2,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,0,0,0,4,2,0,6,2,0,0,9,9,0,0,4,5,0,0,7,0,2,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4046",33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4047",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4048",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4049",38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4050",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4051",12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4052",10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"4053",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"4054",6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" -"4055",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4056",22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4057",29,1,2,4,7,0,4,2,4,5,0,4,4,2,3,0,5,4,2,0,0,3,4,0,0,3,0,6,0,0,9,6,1,3,6,3,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4058",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4059",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4060",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4061",10,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4062",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4063",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4064",23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4065",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4066",40,1,2,4,10,0,5,0,4,7,0,2,2,7,0,2,5,2,3,0,3,5,0,0,4,3,0,2,0,2,7,9,0,0,2,7,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4067",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4068",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4069",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4070",38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4071",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4072",33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4073",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4074",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4075",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4076",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4077",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,3,0,0,6,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4078",6,2,3,2,2,5,0,0,4,9,0,0,1,6,2,8,1,1,2,0,0,2,0,6,5,3,1,1,0,2,7,7,2,0,0,9,0,0,3,5,2,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4079",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4080",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4081",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"4082",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4083",25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4084",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4085",39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4086",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" -"4087",6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,"No" -"4088",8,1,3,3,2,7,0,0,2,7,0,2,1,3,6,2,3,5,3,0,1,3,3,1,3,1,1,5,1,4,5,7,2,1,5,4,2,3,3,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4089",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4090",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4091",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4092",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4093",39,1,3,2,9,1,1,0,7,8,0,1,1,3,6,1,5,4,1,0,0,3,5,1,1,2,2,4,1,1,8,7,2,1,5,4,3,0,6,1,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4094",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"4095",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4096",37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4097",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4098",34,1,4,2,8,0,6,0,3,9,0,0,0,0,9,0,6,3,0,0,0,6,0,3,0,2,4,3,0,9,0,3,3,4,6,3,4,0,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4099",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4100",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4101",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4102",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4103",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4104",23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4105",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4106",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,2,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,1,0,"Yes" -"4107",24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4108",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4109",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"4110",31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4111",38,1,3,3,9,1,5,1,4,6,1,2,2,3,5,1,3,6,1,1,1,3,3,2,1,2,2,5,2,5,4,5,2,2,7,2,4,4,2,1,1,3,4,2,0,0,7,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4112",38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4113",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4114",5,1,4,2,1,0,4,0,5,9,0,0,0,0,9,0,2,7,0,0,0,5,2,2,0,2,0,7,0,7,2,9,0,0,9,0,3,0,4,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4115",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4116",7,1,3,3,2,1,5,0,4,7,0,2,1,4,5,3,5,1,4,0,0,4,0,1,3,1,4,2,0,6,3,6,1,2,5,4,1,1,7,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4117",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4118",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4119",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4120",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4121",35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"4122",33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4123",23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"4124",30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4125",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4126",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4127",3,1,3,3,1,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4128",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4129",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4130",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4131",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4132",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4133",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4134",16,2,1,1,4,3,0,1,6,1,2,7,8,1,1,8,1,0,2,1,0,2,0,5,1,1,7,1,0,8,1,3,1,6,3,6,8,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4135",6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4136",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4137",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4138",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4139",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4140",12,1,4,2,3,0,4,2,4,8,1,0,0,1,8,2,5,3,2,0,0,4,0,4,2,5,1,3,0,0,9,9,0,0,4,5,0,2,7,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4141",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4142",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4143",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4144",33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4145",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4146",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" -"4147",11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4148",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4149",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4150",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4151",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4152",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4153",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4154",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4155",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4156",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4157",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4158",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,4,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4159",8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4160",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4161",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4162",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4163",38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4164",6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4165",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4166",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4167",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"4168",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4169",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4170",3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4171",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4172",1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4173",9,1,3,2,3,1,5,1,4,7,1,2,0,5,4,0,5,4,4,0,1,3,1,2,0,0,0,9,0,7,2,6,2,1,4,5,0,2,7,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4174",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4175",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4176",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4177",38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4178",12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4179",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4180",33,1,1,3,8,0,9,0,0,5,0,4,5,4,1,0,1,8,0,0,2,0,3,5,0,4,0,5,0,0,9,3,2,4,7,2,8,1,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4181",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4182",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,2,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4183",13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4184",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4185",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4186",10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4187",35,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4188",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4189",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4190",10,1,3,3,3,2,4,0,4,7,0,2,2,3,5,4,4,1,2,0,0,5,1,2,2,3,4,2,0,3,6,9,0,0,3,6,2,2,3,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4191",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4192",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4193",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4194",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4195",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4196",25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4197",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4198",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4199",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4200",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4201",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4202",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4203",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4204",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4205",25,1,2,4,6,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4206",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4207",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4208",10,1,4,2,3,3,5,0,1,9,0,0,0,2,7,4,3,3,1,0,0,5,2,2,0,4,1,4,2,7,2,6,1,3,5,4,2,2,3,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4209",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4210",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4211",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4212",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4213",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4214",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4215",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4216",33,1,4,2,8,1,8,0,0,7,1,1,0,1,8,0,3,6,1,0,1,3,4,1,1,1,1,5,2,6,3,4,4,2,9,0,2,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4217",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4218",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4219",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4220",9,1,2,3,3,1,1,1,6,6,1,3,2,4,4,2,4,4,2,1,0,4,3,2,2,2,2,4,1,8,1,4,1,5,8,1,3,3,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4221",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4222",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4223",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4224",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4225",29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4226",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4227",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4228",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,3,6,0,0,0,0,6,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"4229",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4230",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4231",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"4232",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4233",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4234",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4235",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4236",3,1,2,4,1,1,4,2,3,5,0,4,3,4,2,3,4,3,3,0,0,3,1,2,4,3,0,1,3,3,6,6,0,3,4,5,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4237",18,3,1,2,4,9,0,0,0,5,2,3,9,0,0,5,5,0,3,3,0,3,0,0,3,4,0,3,0,6,3,4,1,5,5,4,6,0,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4238",9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4239",41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4240",1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4241",35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4242",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4243",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4244",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4245",10,1,4,3,3,1,5,2,2,7,2,0,0,2,7,3,4,3,2,0,0,5,1,2,1,3,1,4,1,3,6,6,1,2,6,3,1,1,5,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4246",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4247",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4248",3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4249",31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4250",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4251",22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4252",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" -"4253",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4254",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4255",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4256",35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4257",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4258",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4259",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4260",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"4261",39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4262",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4263",35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4264",23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4265",23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4266",33,1,2,3,8,0,7,0,2,6,0,3,3,2,5,0,5,4,0,0,0,3,6,0,0,0,4,5,0,0,9,5,2,2,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4267",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"4268",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4269",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4270",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4271",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,3,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4272",11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4273",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4274",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4275",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4276",12,1,3,2,3,0,4,2,4,9,0,0,0,3,6,7,2,0,3,0,0,3,0,3,5,3,2,0,0,2,7,7,1,1,4,5,2,0,4,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4277",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4278",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4279",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4280",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4281",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"4282",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4283",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4284",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4285",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4286",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,3,5,5,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,1,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4287",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4288",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4289",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4290",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4291",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,1,0,0,0,0,2,0,0,0,0,0,"No" -"4292",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4293",35,1,3,4,8,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,3,2,0,0,2,2,6,0,0,3,6,6,2,2,3,6,0,0,7,2,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4294",8,1,3,2,2,1,3,1,5,5,1,3,3,2,4,2,4,3,2,1,1,3,2,2,2,2,2,4,1,6,3,7,1,2,5,4,2,4,3,1,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4295",7,3,2,2,2,0,3,0,6,4,0,5,4,2,3,2,3,5,6,0,0,2,2,0,4,0,0,2,4,6,3,4,2,4,4,5,4,3,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4296",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4297",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4298",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4299",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4300",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4301",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4302",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4303",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4304",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4305",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4306",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4307",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4308",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4309",8,1,3,3,2,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4310",33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4311",33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4312",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,1,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4313",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4314",8,1,2,4,2,2,2,1,5,5,2,3,0,7,2,3,6,1,0,0,0,8,1,1,0,8,0,1,0,8,1,5,1,4,6,3,2,2,4,4,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4315",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4316",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4317",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4318",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4319",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4320",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4321",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4322",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4323",36,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4324",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,5,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"4325",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4326",32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4327",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4328",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4329",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4330",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4331",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4332",35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4333",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4334",3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"4335",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4336",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4337",23,1,3,2,5,2,2,2,5,5,1,4,2,2,6,0,5,4,1,0,0,4,3,2,1,1,2,6,0,2,7,5,1,3,8,1,2,6,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4338",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4339",24,1,2,2,5,2,3,2,4,2,2,6,5,3,2,4,4,2,2,0,0,6,0,2,1,3,4,2,1,9,0,2,0,7,5,4,6,2,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4340",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" -"4341",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4342",9,1,3,3,3,1,4,0,5,6,0,3,2,3,5,2,3,4,2,0,0,4,3,1,1,2,2,5,0,5,4,6,0,3,6,3,1,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4343",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4344",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4345",13,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4346",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4347",11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4348",23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4349",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4350",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4351",6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4352",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4353",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4354",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4355",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4356",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" -"4357",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4358",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4359",24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4360",33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4361",32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4362",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4363",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4364",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4365",33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4366",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4367",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4368",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4369",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4370",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4371",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4372",1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4373",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4374",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4375",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4376",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4377",1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4378",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4379",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4380",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4381",6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4382",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4383",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4384",11,2,2,3,3,8,0,0,1,5,2,3,3,4,3,3,2,4,3,0,0,4,2,0,2,2,2,4,0,2,7,5,3,2,6,3,3,3,3,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4385",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4386",8,1,3,3,2,0,5,1,4,7,2,1,1,5,4,3,4,2,3,2,0,2,2,1,5,2,1,3,0,2,7,5,4,1,4,5,1,1,3,5,0,7,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4387",9,1,3,3,3,1,3,1,5,6,2,1,0,3,6,2,4,4,2,0,0,4,1,3,1,3,1,4,1,9,0,6,1,2,7,2,3,3,3,0,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4388",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4389",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4390",36,1,2,3,8,2,3,2,4,6,1,3,2,4,4,1,4,4,1,0,0,4,3,3,1,2,2,4,2,5,4,6,1,2,7,2,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4391",38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4392",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4393",41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4394",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4395",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4396",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4397",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4398",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4399",24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4400",18,2,2,3,4,1,2,1,6,3,2,5,5,3,1,5,4,1,5,0,1,3,0,1,5,3,2,0,0,7,2,4,2,4,7,2,5,1,3,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4401",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4402",38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4403",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4404",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4405",17,1,2,2,4,3,1,2,5,2,3,5,5,2,2,4,3,2,3,1,0,3,1,3,3,2,2,3,1,7,2,2,0,7,6,3,5,3,2,1,1,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"4406",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4407",6,1,3,3,2,2,2,0,6,7,1,1,1,3,5,5,4,1,3,1,0,4,1,1,5,3,1,1,0,1,8,9,0,0,0,9,0,0,2,4,3,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4408",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,2,0,6,0,0,0,0,4,4,0,0,0,0,6,6,0,0,0,0,0,0,1,0,1,0,0,0,0,2,1,0,0,0,0,1,1,0,0,0,0,0,"No" -"4409",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4410",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4411",1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4412",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4413",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4414",25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4415",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4416",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4417",31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4418",3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4419",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4420",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4421",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4422",11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"Yes" -"4423",29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4424",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"4425",13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4426",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4427",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4428",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4429",23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4430",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4431",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4432",9,1,3,3,3,0,4,0,5,5,0,4,1,0,8,0,6,3,0,0,0,5,4,1,0,1,4,5,1,6,3,5,0,4,9,0,5,0,2,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4433",25,1,2,3,6,0,4,3,2,5,2,3,3,5,2,1,3,6,1,1,0,3,2,4,1,2,2,3,3,6,3,6,1,3,8,1,4,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4434",6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4435",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4436",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4437",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4438",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4439",7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4440",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4441",31,1,2,2,7,0,4,0,5,3,3,3,3,4,2,2,3,5,2,0,0,2,3,4,1,2,0,4,3,9,0,5,0,4,9,0,5,3,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4442",8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4443",10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4444",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4445",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4446",30,2,4,4,7,0,2,0,7,6,3,0,0,3,6,3,4,3,3,0,4,0,0,3,4,2,0,0,3,0,9,9,0,0,5,4,3,4,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4447",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4448",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4449",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4450",3,1,2,4,1,0,3,2,4,6,0,3,3,4,3,2,4,4,5,0,3,2,0,0,3,2,3,2,0,7,2,5,2,3,4,5,3,2,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4451",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4452",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4453",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4454",39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4455",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4456",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4457",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4458",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4459",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4460",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4461",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4462",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4463",24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4464",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4465",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4466",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4467",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4468",22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4469",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4470",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4471",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4472",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4473",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"4474",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4475",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4476",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4477",36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4478",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4479",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4480",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4481",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4482",9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"4483",33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4484",21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4485",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4486",36,1,2,4,8,0,5,0,4,9,0,0,0,7,2,3,3,3,9,0,0,0,0,0,3,3,2,0,2,0,9,9,0,0,2,7,5,0,3,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4487",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4488",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4489",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4490",7,1,3,2,2,1,3,1,5,6,3,1,1,4,5,2,6,2,3,0,0,4,2,1,3,4,2,2,0,8,1,6,3,1,5,4,1,4,4,1,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4491",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4492",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4493",28,2,2,5,6,0,6,0,3,5,2,4,4,5,1,1,1,7,0,0,4,1,3,2,0,1,4,4,1,7,2,5,0,4,5,4,0,5,5,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4494",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4495",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4496",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4497",13,1,4,3,3,0,5,0,4,9,0,0,0,4,5,2,4,4,0,0,0,4,0,5,0,3,0,6,0,5,4,9,0,0,7,2,4,0,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4498",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4499",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4500",24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4501",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4502",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4503",37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4504",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4505",8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4506",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4507",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4508",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4509",8,1,4,3,2,2,3,0,5,6,0,3,3,0,6,6,3,0,5,0,0,3,1,1,2,5,3,1,0,8,1,3,2,4,4,5,0,1,8,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4510",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4511",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4512",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4513",3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4514",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4515",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4516",33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4517",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4518",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4519",8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4520",37,1,2,3,8,0,6,1,2,7,1,1,2,4,4,2,3,4,2,0,1,5,2,0,2,2,3,3,0,3,6,4,2,4,6,3,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4521",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4522",24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4523",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4524",32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,2,3,5,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4525",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4526",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"4527",10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4528",10,1,4,2,3,0,6,0,3,4,0,5,4,4,2,2,4,4,0,4,0,0,5,0,0,0,5,4,0,3,6,5,2,2,5,4,3,3,2,3,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4529",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4530",18,2,2,2,4,1,3,1,5,4,2,4,4,4,1,7,2,1,5,1,1,3,1,1,5,3,1,1,1,5,4,6,2,2,3,6,2,2,3,3,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4531",38,1,3,3,9,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4532",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4533",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4534",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"4535",5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4536",30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4537",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4538",33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4539",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4540",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4541",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4542",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4543",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4544",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4545",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4546",35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4547",24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4548",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4549",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4550",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4551",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4552",32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4553",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4554",13,1,3,3,3,3,3,1,4,6,2,2,2,4,4,2,5,3,3,0,0,4,2,1,2,2,2,4,1,4,5,7,1,2,5,4,4,3,3,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4555",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4556",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4557",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4558",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4559",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4560",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4561",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4562",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4563",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4564",35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4565",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4566",35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4567",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4568",6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4569",35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4570",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4571",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4572",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4573",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4574",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4575",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4576",10,1,4,3,3,0,3,0,6,6,0,3,0,1,8,5,1,4,4,0,2,3,1,0,0,7,1,2,0,4,5,6,2,2,5,4,5,4,0,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4577",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4578",19,1,2,2,4,3,0,0,6,3,2,5,4,3,3,4,3,3,0,0,0,5,2,2,3,4,0,3,0,4,5,3,2,5,5,4,4,0,3,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4579",35,1,2,4,8,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4580",27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4581",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4582",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4583",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4584",3,1,3,3,1,2,2,0,6,5,2,3,2,4,4,3,6,0,2,2,0,6,0,1,3,2,5,0,0,5,4,6,0,3,5,4,4,2,1,2,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4585",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4586",6,1,5,3,2,2,5,0,2,9,0,0,0,0,9,6,3,0,4,0,0,5,0,0,6,3,0,0,0,0,9,7,2,0,4,5,0,3,3,2,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4587",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4588",7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4589",9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4590",37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4591",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4592",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"4593",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4594",36,1,4,3,8,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4595",5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4596",6,1,3,3,2,0,7,0,2,9,0,0,0,4,5,1,4,5,1,0,2,0,7,0,1,2,0,7,1,4,5,7,2,0,8,1,3,3,4,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4597",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4598",10,1,2,3,3,2,1,1,6,6,1,3,4,3,2,0,2,7,0,0,0,6,3,0,0,2,4,3,0,0,9,7,0,2,6,3,0,0,6,0,3,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4599",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4600",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4601",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,4,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4602",22,1,2,3,5,0,0,4,5,0,2,7,6,2,2,0,6,3,0,0,0,3,0,6,0,0,5,2,3,7,2,2,0,7,9,0,9,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4603",37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4604",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4605",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,"No" -"4606",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4607",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4608",39,1,3,3,9,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4609",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4610",32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4611",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4612",25,1,2,4,6,0,9,0,0,5,0,4,3,3,4,1,2,7,2,0,0,2,4,3,1,0,1,6,2,3,6,7,1,1,9,0,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4613",23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4614",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4615",35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4616",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4617",10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4618",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4619",3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,2,0,6,0,0,0,0,0,0,0,0,0,0,7,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"4620",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4621",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4622",16,8,2,3,4,3,3,1,4,3,2,5,4,4,2,3,5,2,3,1,0,5,1,2,3,3,3,2,1,4,5,5,1,4,3,6,2,4,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4623",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4624",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4625",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4626",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4627",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4628",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4629",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4630",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4631",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4632",30,1,2,4,7,0,3,0,6,3,1,6,6,3,0,1,1,7,0,0,1,3,5,2,0,2,1,6,1,4,5,2,0,7,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4633",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4634",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4635",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"4636",31,1,3,4,7,0,3,0,6,7,0,2,2,4,4,0,3,6,4,0,0,0,3,3,3,0,3,3,2,9,0,4,2,3,9,0,3,4,2,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4637",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4638",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4639",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4640",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4641",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4642",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4643",9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4644",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4645",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4646",39,1,2,4,9,4,4,0,2,9,0,0,3,4,3,4,3,3,5,0,0,1,1,3,3,2,0,1,4,3,6,4,4,2,7,2,0,4,1,1,4,9,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4647",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4648",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4649",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4650",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4651",6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,2,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" -"4652",27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4653",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4654",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4655",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4656",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4657",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4658",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"Yes" -"4659",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4660",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4661",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4662",33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4663",3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,7,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4664",13,1,3,2,3,2,2,1,5,6,2,2,2,3,5,2,4,4,2,1,0,4,2,2,2,2,2,4,1,6,3,6,1,3,5,4,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4665",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4666",9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4667",31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4668",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4669",38,1,4,3,9,2,5,1,2,7,0,2,2,2,6,2,2,5,2,1,0,2,3,3,2,1,1,5,2,5,4,5,4,0,7,2,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4670",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4671",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4672",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4673",10,1,3,3,3,0,3,0,6,7,0,2,1,4,5,1,4,4,4,1,2,2,2,0,3,1,4,2,1,2,7,5,4,0,6,3,3,2,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4674",38,1,2,2,9,2,0,3,5,2,6,2,2,5,3,0,5,4,0,0,0,3,3,4,0,2,2,5,2,9,0,7,0,2,9,0,4,2,2,2,0,4,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4675",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"4676",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4677",8,2,2,3,2,1,4,0,5,5,1,3,3,3,4,2,4,3,2,1,0,4,1,2,2,2,2,3,1,4,5,5,2,3,5,4,3,2,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4678",33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4679",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4680",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4681",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4682",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4683",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4684",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4685",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4686",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4687",39,1,3,3,9,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,5,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4688",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4689",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4690",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4691",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4692",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4693",22,2,2,4,5,0,0,0,9,2,3,5,4,2,4,1,3,5,1,0,0,3,0,5,1,2,2,5,0,9,0,4,0,5,7,2,6,2,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4694",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4695",7,1,3,3,2,0,5,2,3,5,0,4,3,3,4,6,2,3,5,0,0,0,0,4,4,2,0,3,0,3,6,3,0,6,3,6,3,0,4,0,3,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4696",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4697",36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4698",33,1,3,2,8,1,4,1,5,6,1,3,5,0,4,0,0,9,0,0,0,0,4,5,0,0,0,9,0,5,4,6,1,3,6,3,4,3,2,1,1,3,3,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4699",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"Yes" -"4700",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4701",35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4702",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4703",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4704",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4705",12,1,3,2,3,2,7,0,0,9,0,0,0,2,7,5,3,2,7,2,0,0,0,0,6,0,2,2,0,0,9,9,0,0,2,7,2,3,2,2,2,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4706",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4707",16,1,2,1,4,0,4,3,3,2,3,5,5,4,1,7,2,1,2,0,0,0,2,6,2,2,5,1,1,8,1,3,0,6,6,3,8,1,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4708",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" -"4709",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4710",9,1,2,4,3,2,0,2,6,4,0,6,5,3,2,1,6,3,7,0,0,2,0,0,3,1,2,4,1,8,1,5,0,4,8,1,3,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4711",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4712",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4713",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4714",38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4715",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4716",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4717",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4718",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,3,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4719",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4720",28,6,2,5,6,0,6,1,3,5,1,4,3,4,2,1,4,5,3,0,1,3,1,3,2,2,2,4,0,6,3,6,0,3,5,4,5,2,3,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4721",13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4722",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4723",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4724",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4725",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4726",33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4727",23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4728",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4729",23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4730",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4731",3,1,3,3,1,2,3,2,4,5,1,3,2,4,4,3,5,1,4,1,0,3,2,1,2,3,2,4,0,1,8,3,0,6,6,3,2,1,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4732",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4733",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4734",32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4735",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4736",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4737",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4738",38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4739",20,1,2,4,5,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4740",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4741",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4742",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4743",6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4744",8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4745",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4746",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4747",33,1,3,4,8,1,4,0,5,8,1,1,1,5,4,1,2,7,2,0,3,1,2,3,1,1,4,2,3,3,6,6,1,3,4,5,7,1,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4748",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,7,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4749",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4750",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4751",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4752",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4753",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4754",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4755",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4756",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4757",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4758",38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4759",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4760",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4761",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4762",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4763",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4764",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4765",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4766",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4767",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4768",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4769",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4770",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"4771",39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4772",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4773",25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4774",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4775",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,7,0,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4776",31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4777",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4778",9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4779",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4780",33,1,5,3,8,0,6,2,2,6,0,3,3,0,6,0,3,6,0,0,0,2,7,0,0,0,0,9,0,6,3,4,0,5,9,0,5,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4781",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4782",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4783",10,1,3,3,3,0,2,1,6,6,2,2,0,2,7,5,4,0,0,0,0,5,3,2,0,4,5,0,0,7,2,5,1,4,7,2,2,2,2,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4784",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4785",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4786",11,1,4,3,3,0,7,2,2,5,2,3,0,4,5,3,3,3,3,0,0,3,3,2,0,3,3,4,0,5,4,6,2,2,7,2,2,2,6,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4787",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,4,6,0,0,0,0,5,4,0,0,6,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,3,0,0,1,0,0,1,0,0,0,0,0,"No" -"4788",39,1,3,3,9,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4789",26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4790",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4791",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"4792",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4793",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4794",2,1,3,3,1,0,5,4,1,9,0,0,1,2,6,5,4,1,5,4,0,0,1,0,8,1,1,0,1,1,8,5,4,0,0,9,3,0,3,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4795",33,1,3,4,8,0,5,1,3,5,0,4,3,2,5,0,3,6,1,0,2,0,4,3,2,1,3,4,1,1,8,5,2,3,6,3,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4796",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4797",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4798",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4799",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4800",38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4801",38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4802",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4803",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4804",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4805",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4806",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4807",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4808",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4809",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4810",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4811",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4812",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4813",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4814",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4815",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4816",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4817",10,2,3,2,3,1,1,1,7,5,1,4,0,0,9,0,5,5,0,0,0,5,0,5,0,4,0,5,0,0,9,5,1,3,7,2,0,5,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4818",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4819",34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4820",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4821",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4822",30,1,2,4,7,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4823",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4824",33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4825",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4826",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4827",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4828",3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4829",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4830",6,1,3,3,2,0,3,1,6,8,1,0,0,4,5,6,3,1,5,0,2,3,1,0,5,2,2,1,0,1,8,6,3,0,1,8,1,1,2,6,0,7,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4831",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4832",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4833",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4834",33,2,3,3,8,0,3,0,6,7,0,2,0,3,6,2,1,7,0,0,2,0,6,2,1,0,2,4,3,5,4,7,0,2,7,2,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4835",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4836",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4837",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4838",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4839",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4840",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4841",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4842",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4843",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4844",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4845",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,4,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4846",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4847",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4848",4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4849",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4850",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4851",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4852",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4853",12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4854",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4855",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4856",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4857",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4858",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4859",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4860",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4861",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4862",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"4863",13,1,3,3,3,2,6,0,2,6,0,3,3,4,3,1,4,5,2,0,0,5,0,3,1,3,1,2,4,7,2,9,0,0,3,6,4,1,5,1,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4864",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4865",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4866",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4867",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4868",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4869",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4870",27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4871",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4872",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4873",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4874",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4875",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4876",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4877",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4878",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4879",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4880",16,1,1,5,4,1,4,0,5,2,2,5,5,3,1,4,1,5,0,0,0,6,0,3,0,1,3,5,0,3,6,0,0,9,6,3,9,0,0,0,0,1,1,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4881",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4882",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,"Yes" -"4883",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4884",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4885",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4886",37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4887",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4888",10,1,5,2,3,0,6,3,1,7,1,2,0,3,6,0,3,6,0,0,0,3,4,3,0,2,3,4,2,2,7,7,1,2,6,3,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4889",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4890",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4891",32,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4892",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4893",38,1,3,3,9,2,3,0,5,5,1,4,3,2,4,2,5,2,3,0,0,5,2,1,3,3,1,2,1,7,2,7,1,2,5,4,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4894",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4895",3,1,3,3,1,2,3,1,5,6,1,3,0,6,3,4,4,2,6,1,0,2,0,2,4,2,0,3,2,2,7,5,2,2,3,6,0,4,3,2,2,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4896",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4897",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"4898",40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4899",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4900",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4901",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4902",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4903",31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4904",37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"4905",32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4906",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4907",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4908",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4909",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4910",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4911",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4912",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4913",40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4914",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"4915",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4916",34,1,4,3,8,0,7,1,1,7,0,2,0,0,9,0,4,5,1,0,0,4,0,5,0,3,1,5,0,0,9,5,2,2,4,5,0,0,1,8,0,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4917",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4918",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4919",8,1,3,3,2,0,4,0,5,7,1,1,1,4,4,1,4,4,1,0,2,4,3,1,3,2,2,4,0,2,7,5,4,0,7,2,4,4,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4920",36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4921",37,1,4,3,8,3,5,1,2,8,1,0,0,0,9,0,9,0,0,0,0,4,0,5,0,3,4,3,0,0,9,5,1,3,6,3,0,3,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4922",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4923",12,1,3,2,3,2,3,0,5,6,2,2,0,5,4,3,6,0,0,0,0,4,3,3,5,2,0,2,0,0,9,6,1,2,3,6,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4924",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4925",39,1,2,4,9,1,4,0,4,6,0,3,3,5,2,2,3,4,4,0,0,3,2,2,3,1,3,2,3,3,6,7,1,2,3,6,4,0,4,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4926",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4927",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4928",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4929",9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4930",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4931",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4932",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4933",13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4934",37,1,3,3,8,0,5,2,2,7,0,2,1,4,5,1,4,4,2,0,0,2,3,4,0,2,3,4,1,3,6,7,2,0,6,3,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4935",31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4936",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4937",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4938",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4939",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,3,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,"No" -"4940",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4941",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4942",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4943",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4944",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4945",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4946",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4947",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4948",25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4949",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4950",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4951",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4952",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4953",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4954",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4955",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4956",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4957",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4958",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4959",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4960",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4961",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4962",33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4963",32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4964",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4965",6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4966",3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4967",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4968",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4969",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4970",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4971",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4972",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"4973",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4974",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4975",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4976",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4977",37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4978",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4979",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4980",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4981",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4982",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4983",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4984",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4985",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4986",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4987",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4988",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4989",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4990",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4991",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4992",7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4993",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4994",5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4995",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4996",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4997",13,1,2,4,3,1,2,2,6,9,0,0,2,4,4,0,4,5,1,0,0,4,4,2,1,2,2,5,1,8,1,8,1,0,5,4,3,3,2,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4998",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,5,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4999",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5000",31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5001",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5002",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5003",26,2,1,6,6,0,5,2,2,2,0,7,7,2,0,0,2,7,3,0,0,2,2,3,0,0,4,3,3,9,0,4,0,5,9,0,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5004",2,1,3,3,1,1,2,2,5,6,0,3,3,2,5,4,5,1,2,4,0,3,2,0,5,2,2,2,0,8,1,5,1,3,3,6,2,2,3,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5005",23,1,3,3,5,3,2,1,5,3,1,6,0,5,4,3,4,2,0,1,0,3,2,4,5,0,0,4,0,4,5,2,0,7,9,0,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5006",4,1,1,4,1,0,6,3,0,6,0,3,6,3,0,3,5,1,0,0,0,3,0,6,1,2,6,1,0,8,1,6,0,3,6,3,5,0,4,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5007",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5008",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5009",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5010",33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5011",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5012",8,1,2,3,2,2,4,2,4,4,0,5,5,1,3,3,4,3,2,0,0,6,0,2,2,4,1,3,0,6,3,7,2,0,4,5,2,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5013",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5014",13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5015",1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5016",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5017",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5018",5,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5019",1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5020",3,1,2,3,1,0,5,0,4,5,0,4,4,2,4,2,3,5,4,2,0,0,3,0,2,1,4,3,0,0,9,5,3,2,6,3,4,2,3,0,0,3,6,2,4,0,0,6,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5021",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5022",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5023",3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"5024",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5025",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5026",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5027",12,2,5,3,3,8,0,0,1,6,2,3,0,0,9,0,9,0,2,0,0,3,3,3,0,4,5,0,0,0,9,5,3,2,6,3,2,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5028",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5029",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5030",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5031",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5032",30,1,3,4,7,0,7,0,2,9,0,0,0,4,5,0,5,4,2,0,1,2,6,0,2,2,1,6,0,3,6,7,2,0,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"5033",6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5034",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5035",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5036",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5037",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5038",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" -"5039",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5040",39,1,3,2,9,6,2,1,2,5,2,3,2,3,5,4,3,2,3,0,1,4,2,2,3,3,1,4,0,6,3,5,3,1,4,5,1,3,4,2,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5041",25,1,2,5,6,0,5,0,4,2,2,5,3,6,0,1,4,5,4,0,0,2,2,2,1,2,4,2,2,9,0,5,0,4,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5042",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" -"5043",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5044",3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5045",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5046",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5047",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5048",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5049",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5050",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5051",20,1,2,3,5,2,2,0,5,4,2,4,3,3,4,3,5,2,3,1,0,4,1,2,3,2,3,2,1,7,2,4,2,4,5,4,0,2,4,3,2,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5052",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5053",38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5054",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5055",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5056",3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5057",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5058",33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5059",11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,2,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5060",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5061",16,1,1,2,4,2,4,1,4,1,1,7,7,2,1,3,5,1,5,2,1,2,1,1,2,1,4,3,0,7,2,1,0,8,4,5,7,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5062",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5063",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5064",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5065",40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5066",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5067",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5068",37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5069",38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5070",11,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5071",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5072",40,1,3,4,10,0,6,0,3,7,0,2,0,5,4,2,2,6,3,0,5,0,2,0,2,1,4,3,0,2,7,6,2,2,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5073",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5074",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5075",8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5076",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5077",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5078",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5079",41,1,2,4,10,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,4,0,0,3,6,0,4,0,0,5,0,3,6,0,0,0,6,0,0,1,0,0,0,0,1,1,0,1,0,0,2,0,1,1,0,0,0,1,0,0,1,0,0,"No" -"5080",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5081",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5082",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5083",3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5084",29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5085",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5086",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5087",9,1,4,3,3,3,2,0,4,6,1,2,0,4,5,0,0,9,0,0,0,2,0,7,0,0,0,0,9,9,0,7,0,2,3,6,2,2,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5088",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5089",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5090",36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5091",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5092",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5093",6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5094",30,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5095",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5096",23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5097",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5098",37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5099",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5100",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5101",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5102",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5103",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5104",24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5105",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5106",38,1,3,3,9,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5107",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5108",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5109",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5110",37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5111",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,6,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5112",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5113",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5114",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5115",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5116",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5117",33,1,3,4,8,0,5,0,4,9,0,0,1,3,6,0,4,5,2,0,2,2,4,0,0,3,3,2,3,1,8,9,0,0,6,3,4,1,5,0,0,4,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5118",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5119",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5120",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5121",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5122",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5123",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"5124",10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"5125",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5126",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5127",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5128",8,1,3,3,2,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,7,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5129",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5130",33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5131",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5132",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5133",3,1,3,3,1,1,5,2,3,5,1,4,1,4,4,3,5,1,2,1,0,6,1,1,3,2,4,1,1,1,8,5,1,3,5,4,1,4,2,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5134",10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5135",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5136",36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5137",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" -"5138",11,1,3,2,3,1,3,1,5,5,3,3,2,4,3,4,5,1,4,0,0,5,0,1,2,3,2,3,1,4,5,7,1,2,5,4,1,3,3,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"5139",31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5140",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5141",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5142",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5143",8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5144",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5145",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5146",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5147",29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5148",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5149",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5150",37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5151",33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5152",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5153",8,2,2,3,2,2,2,0,5,7,0,2,2,5,3,5,3,1,2,2,0,4,3,1,4,2,2,3,0,0,9,9,0,0,4,5,0,1,4,4,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5154",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5155",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5156",41,1,3,3,10,1,5,0,4,7,0,2,2,2,5,1,3,6,0,1,3,2,3,2,2,2,1,6,0,4,5,4,5,0,2,7,2,5,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5157",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5158",24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5159",24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5160",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5161",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5162",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5163",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"5164",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5165",10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5166",13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5167",8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5168",9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5169",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"5170",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5171",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5172",33,1,4,2,8,0,3,1,5,6,1,3,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,1,3,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5173",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5174",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5175",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5176",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5177",33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5178",22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5179",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5180",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5181",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5182",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5183",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5184",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,"No" -"5185",25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5186",24,1,2,5,5,2,2,1,5,2,2,5,0,9,0,0,9,0,2,1,1,3,2,2,0,0,0,9,0,9,0,4,1,5,5,4,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5187",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5188",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5189",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5190",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5191",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,3,1,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" -"5192",1,1,3,3,1,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5193",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5194",39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5195",27,1,1,5,6,0,3,2,5,4,0,5,6,2,1,3,4,3,3,0,0,4,1,3,1,1,3,4,2,7,2,4,0,5,2,7,6,1,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5196",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" -"5197",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5198",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5199",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5200",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5201",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5202",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5203",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,0,3,0,3,4,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,1,2,0,0,0,1,0,0,0,0,0,"No" -"5204",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5205",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5206",40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5207",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5208",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5209",4,1,2,3,1,2,3,0,5,2,1,6,5,2,2,3,4,3,2,0,0,5,1,2,2,4,0,4,0,5,4,6,1,2,5,4,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5210",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5211",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5212",9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5213",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5214",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5215",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5216",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5217",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5218",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"5219",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5220",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5221",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5222",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5223",9,1,2,2,3,1,2,4,4,8,1,1,1,6,3,2,7,1,2,0,0,7,1,1,2,5,2,1,0,6,3,8,1,1,7,2,1,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"5224",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5225",38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,3,0,0,"Yes" -"5226",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5227",8,1,2,5,2,2,2,0,5,7,0,2,2,5,2,3,5,2,2,1,1,3,2,2,3,2,3,2,1,2,7,9,0,0,4,5,2,2,3,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5228",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5229",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5230",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5231",38,1,2,4,9,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5232",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5233",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" -"5234",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5235",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5236",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5237",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5238",23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5239",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5240",9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5241",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5242",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5243",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5244",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5245",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5246",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5247",35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5248",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5249",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5250",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5251",27,1,3,3,6,2,3,2,3,6,0,3,3,1,5,1,5,4,2,1,1,5,2,1,2,3,2,4,0,1,8,8,1,1,5,4,1,5,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5252",11,1,3,2,3,2,6,1,2,6,2,2,1,4,4,1,4,4,4,0,1,2,2,2,2,2,3,3,1,1,8,6,2,1,4,5,2,3,4,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"5253",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5254",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5255",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"5256",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,2,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"5257",33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5258",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5259",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5260",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5261",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5262",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5263",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" -"5264",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5265",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5266",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5267",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5268",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5269",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5270",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5271",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5272",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5273",32,1,2,4,7,0,7,2,0,5,0,4,2,4,3,0,4,5,0,0,2,4,4,0,0,2,5,3,0,2,7,5,0,4,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5274",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5275",23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5276",29,1,3,3,7,0,4,2,4,5,1,3,2,5,3,2,4,4,2,1,0,1,2,5,2,1,4,3,1,5,4,7,1,2,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5277",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5278",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5279",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5280",33,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5281",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5282",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5283",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5284",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5285",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5286",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5287",40,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5288",7,2,2,2,2,0,7,0,2,6,1,3,3,5,2,2,7,0,2,0,0,7,0,0,2,7,1,0,0,0,9,7,2,1,6,3,1,3,3,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5289",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5290",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5291",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5292",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5293",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5294",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5295",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5296",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5297",40,1,2,4,10,0,6,0,3,6,0,3,3,3,4,0,2,7,0,0,6,3,0,1,0,2,4,2,3,0,9,4,3,3,4,5,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5298",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5299",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5300",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5301",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5302",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5303",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5304",39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,6,0,6,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5305",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5306",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5307",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5308",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5309",13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5310",40,1,3,3,10,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5311",39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5312",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5313",38,1,1,1,9,0,6,0,3,0,2,7,7,2,0,9,0,0,2,0,0,2,2,4,0,3,6,0,0,9,0,0,0,9,2,7,9,0,0,0,0,1,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5314",40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5315",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5316",8,1,3,3,2,1,5,0,4,8,1,1,0,4,5,1,5,3,3,0,0,4,3,1,1,2,4,3,0,2,7,6,3,0,5,4,2,3,5,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5317",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5318",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5319",31,1,1,4,7,1,5,0,4,6,0,3,6,0,3,0,4,5,2,0,0,3,3,3,3,0,0,0,6,6,3,4,2,4,7,2,3,3,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5320",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5321",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5322",36,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5323",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5324",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5325",33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5326",25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5327",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5328",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5329",33,1,2,3,8,0,4,1,4,4,2,3,3,5,2,2,5,2,2,1,1,6,1,1,2,3,2,3,0,8,1,6,1,3,7,2,3,5,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5330",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5331",24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5332",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5333",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5334",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5335",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5336",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5337",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5338",33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5339",10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5340",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5341",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5342",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5343",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5344",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5345",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5346",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5347",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5348",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5349",27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5350",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,2,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"5351",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5352",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5353",29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5354",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,5,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5355",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5356",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5357",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5358",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5359",33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5360",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5361",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5362",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5363",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5364",18,1,2,4,4,2,1,2,5,3,1,6,4,4,1,4,4,2,4,0,0,1,2,3,2,2,4,2,2,2,7,3,0,6,3,6,6,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5365",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5366",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5367",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5368",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5369",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5370",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5371",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5372",8,1,3,3,2,0,6,3,0,9,0,0,1,5,3,2,4,4,3,0,2,3,2,1,3,2,2,3,0,1,8,4,4,2,4,5,2,4,1,3,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5373",24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5374",37,2,2,3,8,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5375",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5376",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5377",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5378",9,1,2,3,3,1,4,0,5,7,0,2,2,5,3,1,6,2,2,0,0,6,0,2,1,1,6,2,0,8,1,5,1,4,6,3,1,1,8,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5379",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5380",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5381",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5382",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"5383",10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5384",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5385",1,2,3,3,1,4,0,2,4,9,0,0,0,5,4,7,2,0,8,0,0,0,0,1,9,0,0,0,0,0,9,5,1,3,5,4,0,0,4,4,2,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5386",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5387",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5388",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5389",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5390",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5391",8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5392",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5393",6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5394",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5395",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5396",8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" -"5397",9,1,2,3,3,0,4,0,5,3,0,6,3,0,6,3,2,4,3,0,0,3,2,2,0,3,5,2,0,9,0,7,0,2,7,2,6,0,3,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5398",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,3,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"5399",38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5400",30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5401",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5402",6,2,3,2,2,0,4,0,5,5,2,3,3,3,4,6,3,0,6,0,0,3,0,0,6,2,2,0,0,3,6,7,0,2,5,4,0,4,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5403",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5404",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5405",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5406",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5407",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5408",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5409",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5410",34,1,3,3,8,0,7,1,1,7,0,2,0,3,6,2,3,4,4,0,0,2,0,4,2,1,4,4,0,0,9,5,2,2,4,5,0,3,3,4,0,7,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5411",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5412",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5413",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5414",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5415",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5416",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5417",41,1,3,3,10,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5418",39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5419",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5420",33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5421",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5422",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5423",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5424",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5425",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5426",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5427",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5428",7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5429",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5430",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5431",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5432",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5433",38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5434",39,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5435",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5436",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5437",35,1,2,3,8,0,4,0,5,7,0,2,3,3,4,3,3,4,5,0,0,3,0,2,1,3,3,2,1,1,8,6,1,2,7,2,2,3,4,1,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5438",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5439",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5440",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5441",3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5442",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5443",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"5444",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5445",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5446",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5447",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"5448",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5449",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5450",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5451",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5452",37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5453",31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5454",36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5455",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5456",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5457",32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5458",23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5459",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5460",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5461",12,3,3,2,3,2,1,1,6,6,2,2,3,2,4,2,6,2,2,1,0,4,1,4,1,2,2,5,0,8,1,6,1,2,5,4,1,2,3,4,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5462",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5463",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5464",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5465",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5466",23,1,2,2,5,3,2,1,5,2,2,6,5,3,2,1,6,3,3,0,0,4,1,3,2,3,2,3,1,9,0,5,1,4,6,3,3,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5467",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5468",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5469",1,1,3,2,1,2,2,0,5,9,0,0,0,4,5,5,4,0,7,0,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,3,6,0,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5470",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5471",32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5472",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5473",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5474",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5475",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5476",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5477",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5478",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5479",39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"5480",33,1,1,2,8,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5481",27,1,3,3,6,1,4,1,4,7,0,2,2,1,6,1,4,5,1,1,1,2,5,1,1,1,2,5,0,4,5,6,2,1,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5482",37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5483",23,2,3,3,5,0,1,2,6,7,0,2,0,2,7,1,5,3,2,0,0,5,0,3,1,4,0,4,0,4,5,9,0,0,7,2,0,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5484",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5485",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5486",4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5487",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5488",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5489",27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5490",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5491",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5492",9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5493",25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5494",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5495",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5496",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5497",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5498",9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"5499",16,1,2,4,4,2,2,0,6,5,0,4,4,2,3,3,4,3,1,0,0,4,2,3,1,3,2,2,2,3,6,4,2,4,7,2,5,0,4,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5500",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5501",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5502",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5503",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5504",10,1,5,2,3,0,5,3,2,9,0,0,0,0,9,0,4,5,1,1,0,5,2,2,0,0,0,4,5,0,9,6,0,3,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5505",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5506",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5507",39,2,3,3,9,0,5,2,3,6,2,2,2,4,4,1,4,5,2,0,2,2,3,2,2,1,2,4,1,5,4,6,1,2,6,3,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5508",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5509",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5510",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5511",13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5512",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5513",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5514",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5515",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5516",8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"5517",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5518",9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5519",9,1,3,2,3,2,3,0,5,7,2,0,0,5,4,1,5,4,1,0,0,4,1,4,1,3,2,5,0,8,1,9,0,0,6,3,4,1,4,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5520",13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5521",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5522",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,6,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5523",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" -"5524",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"5525",33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5526",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5527",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5528",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5529",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5530",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5531",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5532",3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5533",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5534",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"5535",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5536",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5537",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5538",24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5539",41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5540",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5541",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5542",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5543",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5544",25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5545",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5546",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5547",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5548",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5549",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,5,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"5550",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5551",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5552",33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5553",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5554",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5555",33,1,3,4,8,0,0,0,9,9,0,0,0,3,6,0,2,7,3,0,0,2,5,0,0,2,3,5,0,4,5,7,2,0,5,4,0,0,9,0,0,5,3,0,0,0,6,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5556",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5557",3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5558",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"5559",8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5560",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5561",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5562",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5563",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5564",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5565",3,1,2,2,1,0,4,0,5,5,2,2,0,6,3,0,3,6,4,0,2,2,3,0,0,0,0,5,4,3,6,6,2,2,6,3,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5566",11,1,3,2,3,3,2,0,4,9,0,0,0,3,6,3,6,0,0,0,0,9,0,0,0,7,3,0,0,0,9,9,0,0,4,5,0,4,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5567",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5568",34,1,2,3,8,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5569",38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5570",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5571",33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5572",35,1,2,4,8,0,9,0,0,5,0,4,2,4,3,0,2,7,0,0,0,2,1,7,0,0,2,5,3,5,4,7,0,2,5,4,5,2,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5573",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5574",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5575",5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5576",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5577",39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5578",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,2,0,0,5,0,0,0,0,0,3,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" -"5579",3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"5580",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5581",18,1,2,2,4,2,0,0,7,0,2,7,5,3,2,5,4,0,3,1,0,2,2,3,2,1,5,2,0,5,4,2,2,6,3,6,6,1,2,1,1,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5582",37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5583",33,1,3,4,8,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5584",5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5585",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5586",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5587",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5588",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5589",3,1,1,4,1,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5590",35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5591",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5592",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5593",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5594",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5595",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5596",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5597",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5598",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5599",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5600",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5601",12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5602",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5603",39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5604",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5605",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5606",29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5607",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5608",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5609",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"5610",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5611",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5612",10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5613",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5614",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5615",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5616",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5617",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5618",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5619",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5620",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,2,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"5621",26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5622",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5623",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5624",37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5625",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5626",25,1,1,4,6,1,5,2,2,4,2,4,9,0,0,0,9,0,4,0,0,5,0,0,0,0,5,4,0,9,0,7,2,0,4,5,0,5,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5627",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,"No" -"5628",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5629",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5630",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5631",37,1,2,3,8,2,6,1,1,6,0,3,2,6,1,0,6,3,0,0,0,4,5,0,0,2,2,6,0,2,7,4,1,4,6,3,3,2,2,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"5632",27,1,1,6,6,0,5,0,4,3,1,5,5,4,0,3,4,2,4,0,0,4,1,1,3,1,5,1,1,9,0,7,0,2,9,0,2,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5633",8,1,3,4,2,3,3,1,4,6,2,2,0,5,4,0,9,0,0,0,0,4,0,5,0,9,0,0,0,0,9,7,1,2,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5634",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5635",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5636",36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5637",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5638",3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5639",9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5640",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5641",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5642",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5643",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5644",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5645",38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5646",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5647",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5648",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5649",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5650",34,1,1,5,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,1,5,0,9,0,6,2,1,5,4,8,0,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5651",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5652",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5653",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5654",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5655",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,4,0,6,6,0,0,0,0,0,0,2,0,0,0,6,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5656",38,1,2,3,9,0,2,3,4,6,3,0,0,6,3,0,3,6,0,0,0,3,3,4,0,2,0,7,0,6,3,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5657",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5658",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,6,0,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"5659",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5660",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5661",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5662",32,1,3,4,7,0,3,0,6,7,0,2,1,3,5,0,4,5,2,0,2,2,3,2,1,1,3,4,1,6,3,7,2,0,7,2,3,6,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" -"5663",39,1,3,4,9,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5664",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5665",40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5666",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5667",3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5668",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5669",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5670",8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5671",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5672",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5673",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5674",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5675",23,1,3,3,5,1,2,0,7,4,1,4,4,2,3,4,3,3,2,0,0,3,1,4,3,1,2,3,1,6,3,5,0,4,6,3,3,3,3,1,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5676",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5677",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5678",25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5679",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5680",38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5681",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5682",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5683",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"5684",38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5685",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5686",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5687",23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5688",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5689",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5690",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5691",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5692",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5693",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5694",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5695",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5696",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5697",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5698",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5699",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5700",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"5701",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5702",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5703",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5704",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5705",32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5706",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5707",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5708",9,1,2,3,3,2,2,3,4,7,1,2,3,1,5,5,3,2,2,0,0,4,2,2,1,4,1,3,0,9,0,5,1,4,4,5,3,3,2,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5709",22,1,2,3,5,1,2,1,6,4,2,4,6,3,1,4,4,2,2,1,0,3,2,2,2,2,3,3,1,8,1,6,1,2,4,5,5,2,2,1,1,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5710",3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5711",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5712",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,3,0,6,6,0,0,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,2,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"5713",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5714",36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5715",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5716",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5717",37,1,2,3,8,0,6,0,3,7,0,2,1,6,3,3,5,1,0,0,0,5,4,1,0,3,0,6,1,1,8,6,3,0,5,4,6,1,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"5718",25,2,2,4,6,0,4,0,5,5,0,4,4,4,2,2,6,2,0,0,0,6,3,0,0,5,2,2,0,2,7,5,0,4,7,2,0,4,5,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5719",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5720",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5721",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5722",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5723",7,1,2,4,2,4,5,0,0,5,0,4,4,3,2,0,6,3,6,0,0,0,0,3,4,0,0,2,3,0,9,9,0,0,4,5,4,4,0,3,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5724",10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5725",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5726",29,1,1,2,7,0,3,2,5,5,2,3,7,2,0,0,4,5,1,0,0,4,3,2,0,0,0,5,4,9,0,8,0,1,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5727",29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5728",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5729",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5730",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5731",23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5732",36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5733",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5734",3,1,2,4,1,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5735",33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5736",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,3,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5737",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5738",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5739",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5740",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5741",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5742",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5743",30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5744",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5745",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5746",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5747",13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5748",8,1,3,4,2,0,2,0,7,9,0,0,0,5,4,3,5,1,5,0,1,3,1,0,5,3,1,1,0,5,4,9,0,0,5,4,1,5,4,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5749",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" -"5750",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5751",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5752",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5753",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5754",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5755",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5756",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,7,0,0,0,3,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"5757",6,1,5,3,2,2,4,0,4,4,2,4,0,1,8,4,5,0,4,0,0,0,1,4,4,4,1,1,0,0,9,5,0,4,7,2,4,2,2,3,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5758",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5759",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5760",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5761",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5762",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5763",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5764",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5765",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5766",3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5767",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5768",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5769",11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5770",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5771",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5772",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5773",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5774",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5775",10,1,3,3,3,3,2,1,5,8,0,1,2,1,7,1,5,3,7,0,0,1,1,1,3,3,3,2,1,6,3,2,3,5,8,1,1,1,8,0,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5776",37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5777",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5778",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5779",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5780",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5781",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5782",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5783",24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5784",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5785",11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5786",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5787",41,1,2,3,10,0,9,0,0,9,0,0,3,5,2,0,6,3,0,0,0,6,2,2,1,2,2,2,3,4,5,9,0,0,7,2,3,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5788",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,4,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"5789",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5790",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5791",35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5792",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5793",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5794",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5795",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5796",22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5797",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5798",8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5799",27,1,1,6,6,1,5,2,3,5,1,3,5,4,1,4,5,1,5,0,0,4,0,0,5,4,1,0,1,8,1,6,1,3,7,2,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5800",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5801",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5802",3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5803",3,1,2,4,1,1,4,1,4,8,0,1,2,5,3,3,3,4,5,1,0,2,1,1,3,2,2,3,1,3,6,6,3,1,3,6,2,1,4,2,2,7,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5804",36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5805",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5806",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5807",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5808",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5809",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,3,5,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,"No" -"5810",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5811",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5812",39,1,3,2,9,1,5,1,3,7,1,2,2,3,5,1,5,3,3,0,3,1,2,2,3,2,3,3,1,3,6,5,3,1,4,5,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5813",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,6,0,0,0,1,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5814",3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5815",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5816",13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5817",3,1,2,3,1,0,6,0,3,6,0,3,0,7,2,0,7,2,0,0,0,5,2,3,0,2,3,5,0,0,9,5,2,2,5,4,0,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5818",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5819",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5820",33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5821",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5822",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +"MOSTYPE","MAANTHUI","MGEMOMV","MGEMLEEF","MOSHOOFD","MGODRK","MGODPR","MGODOV","MGODGE","MRELGE","MRELSA","MRELOV","MFALLEEN","MFGEKIND","MFWEKIND","MOPLHOOG","MOPLMIDD","MOPLLAAG","MBERHOOG","MBERZELF","MBERBOER","MBERMIDD","MBERARBG","MBERARBO","MSKA","MSKB1","MSKB2","MSKC","MSKD","MHHUUR","MHKOOP","MAUT1","MAUT2","MAUT0","MZFONDS","MZPART","MINKM30","MINK3045","MINK4575","MINK7512","MINK123M","MINKGEM","MKOOPKLA","PWAPART","PWABEDR","PWALAND","PPERSAUT","PBESAUT","PMOTSCO","PVRAAUT","PAANHANG","PTRACTOR","PWERKT","PBROM","PLEVEN","PPERSONG","PGEZONG","PWAOREG","PBRAND","PZEILPL","PPLEZIER","PFIETS","PINBOED","PBYSTAND","AWAPART","AWABEDR","AWALAND","APERSAUT","ABESAUT","AMOTSCO","AVRAAUT","AAANHANG","ATRACTOR","AWERKT","ABROM","ALEVEN","APERSONG","AGEZONG","AWAOREG","ABRAND","AZEILPL","APLEZIER","AFIETS","AINBOED","ABYSTAND","Purchase" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,1,4,1,4,6,2,2,0,4,5,0,5,4,0,0,0,5,0,4,0,2,3,5,0,2,7,7,1,2,6,3,2,0,5,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,2,9,2,2,0,5,7,2,0,0,3,6,0,4,5,0,0,0,4,1,5,0,1,4,5,0,6,3,8,0,1,9,0,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,3,3,3,3,5,0,2,7,0,2,2,2,6,0,4,5,2,0,0,3,3,3,1,2,1,4,2,0,9,6,1,2,6,3,2,3,3,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,6,0,3,6,0,3,0,0,9,0,3,6,2,0,0,2,5,2,0,2,4,4,0,7,2,3,6,0,6,3,7,0,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,"Yes" +8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,4,8,0,1,1,7,2,2,2,6,2,0,3,2,2,2,2,1,3,4,1,6,3,6,0,3,7,2,4,2,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,5,3,2,4,1,4,5,4,1,2,4,3,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,1,3,3,4,0,0,5,0,2,7,7,2,1,0,7,2,0,0,0,3,0,6,0,3,4,0,2,8,1,2,0,7,7,2,6,3,0,2,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,5,2,2,7,0,2,2,4,4,0,4,5,1,0,0,3,2,5,0,1,4,3,2,2,7,6,0,3,8,1,2,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,6,0,0,3,8,0,1,1,4,5,5,4,2,6,1,0,3,1,0,6,2,1,2,0,0,9,7,2,1,1,8,1,0,3,5,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,3,3,0,4,6,0,3,4,2,4,3,5,2,3,1,0,2,2,2,4,2,1,2,1,6,3,7,1,1,2,7,2,3,3,3,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,4,3,8,2,4,2,3,7,0,2,1,3,5,4,5,0,4,1,0,3,0,3,4,2,4,0,0,8,1,6,3,0,0,9,0,4,4,1,1,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,3,2,4,5,2,2,3,4,4,2,4,5,4,2,3,2,5,5,0,0,4,1,0,2,2,1,4,1,8,1,1,2,6,8,1,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,3,3,0,3,7,2,1,1,6,3,0,2,7,1,0,0,2,3,4,0,2,1,7,1,6,3,7,1,2,7,2,5,3,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,4,2,6,0,3,3,4,3,7,2,0,7,0,0,2,0,1,7,2,0,0,0,0,9,5,4,0,3,6,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,"No" +37,1,2,3,8,0,5,2,3,5,2,3,2,6,1,1,3,5,2,1,0,3,1,4,1,1,2,3,3,4,5,7,1,2,6,3,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,6,2,2,9,0,0,0,4,5,2,4,4,5,0,0,4,0,0,5,0,0,4,0,2,7,7,2,0,6,3,5,2,0,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,0,0,9,5,4,0,0,4,5,3,6,0,3,0,0,6,0,0,3,2,4,0,0,0,9,6,3,0,6,3,0,3,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,2,0,7,7,0,2,0,3,6,1,6,3,0,0,0,4,3,2,0,4,2,4,0,0,9,6,1,2,5,4,0,1,6,3,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,2,1,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,2,4,8,1,1,1,5,4,2,1,7,2,0,0,3,3,2,2,1,1,7,0,9,0,6,2,2,7,2,2,3,2,4,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,5,0,0,0,0,3,0,6,0,0,0,0,4,0,0,0,1,0,0,0,0,2,0,0,0,0,1,0,2,0,0,0,0,1,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,4,5,0,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,2,3,4,7,1,2,2,2,5,4,3,3,2,0,0,4,2,2,2,3,2,3,0,9,0,5,1,4,4,5,1,3,5,1,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,6,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +10,1,3,2,3,1,2,2,6,9,0,0,0,3,6,3,4,2,4,0,0,3,2,1,4,2,2,3,0,0,9,6,2,2,5,4,0,3,4,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,3,6,3,2,1,4,1,0,8,7,1,1,1,4,5,1,1,2,3,0,5,2,1,3,3,2,8,1,1,1,8,6,3,5,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +38,1,3,2,9,1,0,1,7,4,1,4,1,1,8,4,4,2,4,1,0,2,2,3,2,1,5,2,0,6,3,6,0,3,6,3,3,2,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,8,0,6,0,0,0,0,0,0,0,0,0,4,0,4,0,2,0,0,0,0,7,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,2,0,7,5,2,3,2,4,4,2,5,3,4,0,0,0,1,4,2,1,5,2,0,9,0,4,3,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,4,6,0,0,0,2,3,2,0,0,2,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,1,0,0,3,0,0,0,0,0,"No" +33,1,2,4,8,3,6,0,0,5,0,4,4,3,3,0,3,6,0,0,0,5,4,0,0,3,0,6,0,0,9,3,3,4,9,0,4,0,3,3,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,0,2,7,8,0,1,1,6,3,0,3,6,0,0,0,4,3,2,0,1,2,6,0,7,2,7,0,2,7,2,1,8,0,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,1,4,1,5,6,1,2,3,4,3,1,4,5,1,0,0,3,1,6,1,1,2,5,2,4,6,5,1,4,8,1,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,1,5,7,1,2,2,4,4,4,3,3,3,1,0,4,1,2,3,3,1,3,1,6,3,6,2,2,3,6,2,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,1,9,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,2,2,4,0,3,0,6,2,3,4,2,6,1,6,1,3,1,0,0,3,2,4,1,1,5,2,2,7,2,7,0,2,4,5,4,5,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,0,3,0,6,0,0,0,0,5,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,2,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,"Yes" +36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,0,0,9,5,2,2,2,5,2,2,4,4,3,0,3,0,0,3,3,0,3,4,0,2,7,7,2,0,6,3,5,0,0,4,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +4,1,1,3,1,5,3,0,2,6,0,3,8,1,0,8,1,1,4,0,0,4,0,1,5,3,0,2,0,8,1,5,2,2,3,6,1,1,4,4,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,5,0,3,4,0,5,5,3,2,1,4,5,1,0,0,4,4,2,1,3,1,5,1,7,2,4,2,3,6,3,5,1,1,3,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,3,1,5,5,2,3,2,3,4,1,3,5,2,0,0,3,3,3,2,1,2,4,2,5,4,6,1,3,7,2,3,3,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,3,1,6,7,1,2,5,3,1,2,4,4,3,0,0,4,3,0,0,4,0,3,3,2,7,5,1,3,7,2,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,1,6,1,3,5,0,4,0,5,4,0,4,5,5,0,0,4,0,0,0,3,6,0,0,4,5,5,2,4,4,5,2,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,2,2,5,4,3,2,2,2,5,2,1,0,4,0,4,2,2,2,4,2,9,0,2,0,7,7,2,6,2,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,0,3,7,0,2,4,1,5,3,2,4,1,2,4,1,1,2,3,1,4,3,1,1,8,6,3,0,5,4,4,4,1,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +21,1,3,2,5,3,4,0,3,4,3,3,0,4,5,0,4,5,3,0,0,2,5,1,2,0,2,6,0,9,0,5,0,4,9,0,6,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,3,2,1,4,5,2,3,2,0,7,1,3,5,2,0,0,3,2,3,0,2,2,6,0,7,2,4,2,3,5,4,2,2,4,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,2,2,4,1,3,0,6,1,2,6,6,2,1,7,1,2,0,0,0,3,4,3,0,1,7,2,1,6,3,4,1,5,4,5,8,0,1,0,0,1,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,6,1,2,6,2,2,0,3,6,3,5,2,2,0,0,2,2,4,2,2,4,3,0,0,9,5,2,3,6,3,2,3,2,4,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,4,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,8,0,1,8,0,1,2,2,5,2,4,4,2,0,0,3,4,1,1,3,4,3,0,8,1,8,1,0,6,3,3,3,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,2,1,4,2,1,0,6,1,3,6,6,2,2,7,2,0,4,0,0,5,0,0,2,3,5,0,0,9,0,3,1,5,3,6,5,3,2,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,4,0,5,9,0,0,0,2,7,0,5,4,2,0,0,2,3,3,1,2,2,4,1,1,8,5,2,2,8,1,2,1,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,"Yes" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,3,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,1,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,3,0,3,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,3,2,1,5,7,0,2,2,4,4,2,4,3,2,1,1,2,2,3,2,2,2,3,1,5,4,7,2,0,4,5,3,2,3,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,4,0,5,0,5,4,0,0,2,7,3,4,3,3,0,0,5,0,2,2,2,2,4,0,3,6,9,0,0,0,9,0,3,6,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,4,2,5,3,2,0,4,5,2,7,0,4,0,0,4,0,2,4,3,2,0,0,3,6,4,4,2,5,4,4,5,0,0,0,3,7,0,4,0,6,6,6,0,0,0,0,0,4,0,0,6,6,0,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,3,3,4,6,0,3,2,1,6,3,4,2,3,0,0,4,1,3,3,3,2,2,1,2,7,5,2,2,4,5,1,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,2,3,4,4,5,0,0,3,2,5,1,7,1,8,1,1,2,0,0,6,2,0,1,1,7,1,0,1,8,3,0,6,6,3,2,0,7,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,2,3,0,4,4,2,3,3,3,3,2,3,5,2,2,0,4,2,2,1,2,2,4,2,6,3,4,1,5,7,2,4,3,2,2,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,2,1,0,6,8,0,1,0,0,9,2,6,1,2,0,0,4,1,3,2,5,3,1,0,0,9,5,4,0,2,7,0,0,3,4,2,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,"No" +4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,9,0,0,0,9,0,0,0,0,9,4,5,0,5,4,0,0,0,0,9,0,0,0,0,0,9,3,6,0,3,6,0,0,0,9,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,0,0,0,9,4,0,5,0,0,9,5,4,0,3,5,0,0,3,0,0,0,5,4,0,9,0,2,3,5,3,6,3,0,4,2,2,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,3,3,1,4,6,1,3,0,3,6,3,2,4,3,0,0,2,4,0,2,0,0,4,3,3,6,6,1,3,6,3,0,0,5,0,4,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,5,1,3,6,0,3,2,1,6,1,4,4,1,0,0,5,2,3,1,3,2,4,0,3,6,8,1,0,6,3,5,3,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,0,3,6,2,2,1,4,5,1,6,3,1,0,0,3,3,3,1,3,2,5,0,4,5,8,0,1,8,1,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,1,1,4,1,4,1,5,1,2,7,6,3,0,3,6,0,1,1,0,4,2,3,0,0,5,4,0,9,0,3,1,5,6,3,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,2,4,1,3,6,1,3,6,0,3,4,4,2,3,0,1,4,0,2,3,4,2,1,0,0,9,6,1,3,5,4,0,3,5,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,4,4,0,2,9,0,0,3,2,4,1,2,6,2,0,0,2,4,2,1,1,3,3,3,2,7,5,2,2,5,4,3,3,3,2,0,4,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,0,2,0,7,3,4,2,2,3,5,2,2,5,0,0,0,4,5,0,1,0,4,4,1,2,7,6,3,0,7,2,3,3,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,4,2,2,9,0,0,4,2,4,1,6,3,3,1,0,3,2,2,1,3,2,4,0,4,5,9,0,0,5,4,1,7,1,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,2,1,4,6,0,9,0,0,2,0,7,4,3,3,0,4,5,2,0,0,4,2,2,0,2,3,3,2,9,0,2,0,7,9,0,4,4,0,1,0,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,1,5,2,2,6,1,2,2,4,4,1,6,2,3,0,1,3,1,2,2,3,2,2,2,5,4,5,2,3,5,4,3,3,3,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,8,0,1,3,3,3,1,3,6,1,1,6,2,1,0,3,1,3,2,2,4,5,7,2,0,5,4,3,3,4,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,5,6,0,4,2,4,3,0,6,6,3,0,2,7,0,2,0,0,7,0,0,3,5,2,0,0,9,0,5,0,4,2,7,2,0,7,0,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,6,0,3,3,0,6,0,2,7,0,0,0,0,9,0,0,0,0,9,0,2,7,9,0,0,9,0,3,0,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,4,2,1,3,5,0,4,4,3,3,9,0,0,3,1,0,3,1,3,0,9,0,0,0,0,9,6,1,3,2,7,0,0,0,0,9,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,3,1,5,4,2,4,0,4,5,0,6,3,0,0,0,6,0,3,0,6,0,3,0,3,6,6,0,3,8,1,3,3,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,2,5,0,2,9,0,0,0,4,5,0,3,6,2,0,2,2,2,2,0,2,2,5,0,0,9,6,3,0,7,2,5,0,5,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +8,1,3,3,2,2,3,0,5,7,2,0,0,5,4,1,8,1,3,0,0,4,1,3,1,2,4,4,0,5,4,9,0,0,6,3,2,1,4,3,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,4,5,2,2,2,4,0,0,9,9,0,0,2,5,3,0,1,0,5,2,2,1,4,2,3,0,9,0,2,0,7,5,4,4,2,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,6,1,2,8,1,0,2,4,4,2,5,3,5,0,0,2,2,2,3,1,3,3,0,3,6,5,2,2,3,6,1,3,5,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +16,2,1,1,4,4,3,0,3,2,3,5,8,0,1,8,1,1,3,0,0,4,3,0,0,0,8,1,1,8,1,5,0,4,6,3,8,0,1,0,0,1,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,2,3,3,8,0,1,1,4,5,1,7,1,3,0,1,4,1,2,1,5,2,2,0,2,7,8,1,0,3,6,1,3,5,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,1,4,1,4,7,2,0,1,3,5,1,3,5,2,0,0,5,0,2,2,2,1,5,0,2,7,8,1,0,7,2,0,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,1,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,0,8,0,1,7,2,0,0,6,3,1,1,8,4,2,0,2,2,2,1,1,1,6,1,1,8,6,2,2,4,5,4,4,1,1,0,3,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,7,0,0,9,0,0,3,2,4,0,3,6,1,0,2,3,2,3,1,2,2,5,1,4,5,7,2,0,9,0,4,4,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,5,0,4,9,0,0,0,4,5,0,3,6,0,0,0,3,6,0,0,2,0,7,0,4,5,9,0,0,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,3,9,0,3,2,5,5,1,3,3,3,4,2,3,5,3,1,0,1,3,3,2,1,2,4,2,4,5,5,1,4,7,2,5,2,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,2,5,2,1,8,0,1,6,1,3,3,5,2,2,4,4,6,0,0,3,1,1,4,1,4,1,0,4,5,7,2,1,6,3,3,3,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +24,1,2,2,5,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,2,3,6,0,9,0,0,9,0,0,4,2,4,2,3,4,6,0,0,3,0,0,1,2,4,3,0,2,7,7,0,2,3,6,1,4,2,2,2,6,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,1,6,0,3,6,2,2,0,7,2,0,4,5,2,0,0,3,3,2,0,2,3,5,0,9,0,6,2,1,6,3,3,0,5,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,0,5,4,0,5,3,3,3,0,3,6,2,0,0,2,0,6,1,0,2,6,2,7,2,7,0,2,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,2,3,1,5,4,2,5,4,4,2,4,3,3,4,1,0,2,1,3,3,1,3,3,1,8,1,5,1,4,3,6,5,2,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,4,2,0,3,4,1,4,3,4,3,2,3,5,1,1,1,2,1,5,1,1,2,5,2,5,4,4,1,5,7,2,6,2,2,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,0,3,0,6,5,0,4,1,4,4,0,0,9,0,0,0,0,2,7,0,0,0,4,5,8,1,6,0,3,9,0,2,5,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,4,3,1,2,6,1,2,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,5,7,1,2,6,3,0,5,5,0,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,5,8,2,3,2,4,7,2,1,4,4,1,0,5,4,2,0,0,5,2,2,0,1,5,4,0,4,5,7,1,1,7,2,4,5,0,0,0,3,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,0,0,4,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,0,0,1,2,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,1,6,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,1,0,"Yes" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,8,6,0,0,0,0,0,0,9,0,0,0,7,0,0,0,0,0,0,0,0,6,1,0,0,0,0,0,0,8,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,0,1,8,2,0,0,2,6,0,1,0,2,2,5,8,1,9,0,0,7,2,5,3,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,4,2,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,5,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,2,4,5,6,1,0,2,5,2,3,4,3,3,4,3,3,3,0,0,6,0,0,1,2,2,6,0,3,6,5,1,4,6,3,4,2,0,2,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,1,6,8,2,5,1,2,7,0,2,5,4,0,0,6,3,5,0,0,5,0,0,2,2,0,3,3,9,0,7,2,1,5,4,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,10,2,2,4,1,1,1,7,2,2,6,6,2,2,5,2,2,3,1,0,3,1,2,5,1,2,1,2,6,3,4,0,5,4,5,4,1,4,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,3,7,0,9,0,0,4,0,5,5,1,4,0,4,5,0,0,0,2,2,6,0,1,2,4,3,3,6,5,1,3,6,3,5,2,3,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,0,0,7,4,1,4,0,3,6,3,3,4,3,0,0,3,1,3,2,1,4,3,1,8,1,7,0,2,6,3,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +40,1,4,3,10,2,5,0,3,8,1,1,1,3,6,2,4,4,2,0,7,0,1,1,5,0,4,1,0,1,8,4,5,1,1,8,2,0,7,1,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,6,0,3,7,0,2,2,2,6,3,4,2,4,0,3,2,0,0,5,2,3,0,0,0,9,6,3,0,4,5,0,3,3,3,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,5,2,3,5,2,3,4,2,3,2,4,3,2,0,0,4,2,2,2,2,2,3,2,7,2,5,1,3,9,0,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,4,7,1,2,1,4,5,0,2,7,1,0,0,6,2,2,1,2,1,6,1,8,1,6,1,2,9,0,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,1,5,0,4,3,4,3,4,4,2,2,3,5,1,0,0,6,1,2,1,2,2,2,3,6,3,5,0,4,6,3,4,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,4,3,7,2,4,0,4,7,0,2,0,2,7,1,1,8,1,0,0,1,2,6,1,0,1,7,1,1,8,5,2,2,7,2,0,8,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,1,3,3,0,6,6,1,3,2,2,5,2,0,0,4,3,1,2,2,0,5,1,8,1,5,0,4,9,0,5,2,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,2,4,2,1,3,1,5,6,1,2,3,5,2,0,0,9,0,0,0,2,3,5,0,0,0,4,5,9,0,6,2,2,7,2,9,0,0,0,0,2,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,2,6,0,1,6,2,2,2,5,3,1,2,6,3,1,1,2,2,3,2,1,1,4,2,6,3,7,0,2,6,3,5,2,1,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,2,2,0,3,0,6,5,0,4,4,4,2,2,5,3,3,0,1,3,1,3,2,4,1,3,1,2,7,4,3,3,3,6,3,1,2,4,0,6,8,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,6,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,6,0,0,0,2,0,0,5,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,5,1,3,3,4,2,3,2,5,3,0,0,4,3,0,2,2,0,3,3,3,6,6,1,2,5,4,2,0,7,0,0,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,1,4,6,0,3,3,4,2,1,1,8,0,2,0,1,7,0,0,1,2,6,0,0,9,7,2,0,7,2,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,0,0,9,3,0,6,6,2,2,0,6,3,0,0,0,4,3,2,0,4,3,3,0,4,5,0,0,9,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,6,0,3,3,1,5,7,0,2,4,0,5,2,0,0,4,0,4,0,3,3,0,4,4,5,6,1,2,6,3,5,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,2,3,9,0,0,3,4,2,0,6,3,3,0,0,3,2,2,3,2,0,5,0,5,4,6,1,3,6,3,2,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,2,2,5,7,1,2,2,4,4,1,3,5,2,0,1,4,2,2,1,1,3,5,1,1,8,4,0,5,6,3,2,4,3,2,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +25,1,1,4,6,0,5,2,3,3,1,6,6,3,1,2,4,3,2,1,0,5,2,1,2,2,3,3,1,9,0,5,0,4,5,4,5,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,2,1,5,6,0,5,0,5,5,0,5,7,2,0,0,2,7,2,0,2,3,0,4,0,0,4,3,2,9,0,0,0,9,2,7,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,2,7,0,0,9,0,0,0,7,2,4,5,0,6,0,0,3,0,0,6,3,0,0,0,0,9,7,2,0,3,6,0,0,9,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,2,8,3,2,1,4,7,2,1,0,2,7,2,5,3,3,0,0,4,2,1,2,2,3,3,0,7,2,7,1,2,6,3,1,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,1,0,0,6,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,6,0,0,3,7,0,2,0,5,4,2,6,2,1,1,0,5,3,1,1,1,4,3,0,7,2,9,0,0,3,6,0,1,5,3,0,6,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,3,2,7,0,2,3,2,6,0,5,4,1,0,0,4,5,0,1,2,2,5,0,2,7,7,0,2,8,1,2,2,4,2,0,5,3,0,0,4,6,0,0,0,0,3,0,0,5,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,2,5,2,2,7,2,0,0,3,6,2,3,5,3,0,2,3,1,2,4,0,2,4,0,1,8,7,2,0,6,3,5,2,2,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,3,3,8,2,4,1,3,6,1,3,5,0,4,3,3,3,3,0,2,4,0,2,3,3,3,2,0,0,9,6,1,3,5,4,0,3,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,2,5,3,8,0,5,0,4,4,0,5,1,1,8,3,5,1,3,0,0,3,1,3,6,2,1,1,0,1,8,7,2,0,2,7,1,0,4,0,4,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,2,2,4,0,2,0,7,0,2,7,6,1,2,5,2,2,3,0,0,3,2,3,1,1,6,2,1,6,3,5,1,4,6,3,4,4,0,1,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,0,4,8,1,0,2,2,5,2,3,4,3,0,0,3,2,2,2,2,3,4,0,2,7,8,0,1,5,4,1,2,4,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,3,5,2,4,2,2,2,2,5,3,6,0,4,3,2,0,0,0,4,3,3,2,3,2,0,3,9,0,3,0,6,9,0,0,7,2,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,1,5,5,1,3,4,5,1,1,4,5,2,0,0,3,0,5,0,1,4,4,1,7,2,6,1,3,6,3,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,"No" +29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,1,3,6,1,3,1,4,5,1,3,5,2,0,0,3,3,3,1,1,3,4,2,6,3,5,1,4,7,2,4,4,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,1,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,2,1,0,1,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" +7,2,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,4,5,0,5,2,2,2,0,7,8,1,0,1,8,1,0,1,0,4,0,5,1,1,8,1,0,9,0,7,0,2,5,4,1,8,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,9,0,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,0,1,5,0,3,0,9,5,2,3,2,7,4,2,3,0,0,2,3,2,0,0,0,6,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,5,0,4,4,3,3,0,3,6,0,0,3,3,0,4,0,3,3,4,0,9,0,6,0,3,9,0,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,5,1,4,6,1,2,2,4,4,2,3,4,2,0,2,2,3,2,2,1,3,3,1,3,6,6,2,2,5,4,3,2,4,2,1,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,5,7,0,4,0,5,9,0,0,0,8,1,0,0,9,0,0,0,0,5,4,0,0,0,8,1,9,0,5,0,4,9,0,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,0,3,4,9,0,0,0,0,9,0,0,9,5,0,0,3,1,1,0,0,4,5,0,0,9,5,4,0,4,5,7,0,0,2,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,2,3,5,1,0,3,4,4,1,0,0,9,9,0,0,0,0,0,9,0,0,4,5,0,0,0,0,9,7,0,2,7,2,2,3,4,2,1,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,3,0,0,0,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,2,2,3,5,0,2,5,2,3,3,4,3,4,3,2,4,0,0,3,0,2,4,3,0,2,0,9,0,3,0,6,9,0,2,3,4,2,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,2,5,0,3,5,0,4,2,2,5,0,5,4,1,0,1,2,3,3,0,1,4,3,2,3,6,5,2,3,9,0,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,6,7,1,1,1,2,7,1,2,6,0,0,0,2,5,2,0,1,2,6,2,8,1,4,2,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,3,4,2,1,6,0,3,4,4,2,0,8,1,3,0,0,4,0,2,2,3,3,3,1,7,2,6,0,3,4,5,5,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,2,4,0,4,9,0,0,0,6,3,0,5,4,4,0,2,2,0,2,3,3,4,0,0,0,9,7,2,0,2,7,0,0,4,5,0,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,2,5,3,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,1,0,4,2,4,0,9,5,2,3,4,5,6,3,0,0,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,5,0,4,7,0,2,2,4,4,1,6,3,5,0,0,3,1,1,3,3,2,3,0,2,7,5,4,0,5,4,0,3,4,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,4,3,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,6,7,0,6,0,3,2,0,7,7,2,1,1,2,7,2,2,2,1,2,2,1,1,4,2,3,7,2,3,0,6,6,3,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,4,6,1,5,2,3,5,1,4,3,6,0,6,0,3,4,2,0,2,1,1,6,0,0,3,0,6,3,5,1,3,5,4,3,2,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,2,1,5,2,3,3,3,2,5,0,4,5,4,0,2,3,5,0,0,0,6,0,3,2,0,3,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,4,1,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,1,1,2,4,1,3,0,5,1,1,8,8,1,1,6,3,1,3,0,0,4,2,0,1,3,3,3,1,6,3,3,0,6,3,6,6,1,3,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,2,7,0,0,7,0,2,2,4,4,4,1,5,4,0,0,1,3,2,4,0,2,4,0,2,7,5,3,2,5,4,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,3,9,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,1,0,0,6,0,0,0,0,0,0,3,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,7,0,2,2,0,7,7,2,0,0,0,9,0,0,0,5,0,4,0,0,0,7,2,6,3,4,0,5,6,3,9,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,4,3,7,0,7,0,2,4,1,4,4,2,4,0,2,7,1,0,1,3,3,3,1,1,2,5,2,5,4,5,2,3,8,1,6,1,3,1,0,3,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,2,2,0,5,7,0,2,3,6,1,4,4,1,3,1,0,3,1,1,4,3,0,1,2,3,6,9,0,0,4,5,5,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,2,0,6,0,0,0,0,0,0,0,0,0,0,4,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,1,1,4,2,2,1,6,1,2,7,7,2,0,5,4,0,2,0,0,7,0,1,3,4,3,1,0,9,0,5,0,4,4,5,4,4,1,2,0,3,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,4,5,0,5,3,2,4,1,4,4,5,1,2,4,3,1,1,0,5,2,1,1,2,3,3,1,9,0,5,0,4,5,4,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +40,1,3,3,10,0,8,0,1,7,0,2,2,3,5,0,6,3,2,0,3,4,0,0,3,2,5,0,0,2,7,3,6,0,3,6,0,2,6,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,2,2,5,0,0,2,7,2,0,7,7,0,2,5,3,2,5,2,0,2,1,1,7,0,1,2,1,9,0,6,2,2,6,3,3,1,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,7,6,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,0,8,0,1,6,0,3,3,2,4,1,3,5,1,0,3,1,5,0,1,0,3,4,2,3,6,6,2,2,5,4,5,0,5,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,4,1,4,3,1,3,5,2,3,9,0,0,0,0,9,2,0,1,3,3,2,0,0,4,5,0,0,9,7,2,0,4,5,3,0,3,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,0,4,7,0,2,1,2,6,3,4,2,2,0,1,6,1,1,3,3,3,1,2,2,7,6,3,0,4,5,2,2,3,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,4,2,0,5,1,3,6,1,2,2,3,5,4,4,2,3,2,0,3,2,0,5,2,1,3,1,2,7,6,2,2,3,6,1,2,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,4,0,4,7,2,0,0,0,9,0,4,5,3,0,0,2,2,2,1,2,1,5,0,5,4,8,1,0,6,3,1,2,3,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,4,4,2,1,4,0,5,4,3,3,1,6,2,2,3,0,6,0,0,1,2,5,2,0,7,2,5,1,4,6,3,4,3,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,5,6,1,4,3,2,5,0,4,4,4,2,3,3,3,2,2,2,4,1,1,2,2,5,1,0,6,3,7,1,2,6,3,2,4,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,3,5,2,1,5,2,5,1,4,3,4,3,2,5,3,2,0,0,6,1,1,2,2,3,2,2,8,1,3,2,5,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,6,1,2,7,1,2,1,7,1,1,4,5,0,0,4,1,0,4,4,0,1,5,0,5,4,4,2,3,7,2,0,2,3,4,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,5,7,2,5,2,1,3,0,6,6,2,2,0,2,7,2,0,1,2,1,5,0,2,3,5,1,2,7,6,0,3,9,0,3,6,1,0,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +10,1,2,3,3,2,1,0,6,6,0,3,2,4,4,2,4,3,4,0,0,4,1,2,3,2,2,3,0,6,4,5,0,4,5,4,2,5,2,2,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,2,8,2,3,1,4,5,1,3,4,4,2,0,7,2,0,0,0,9,0,0,0,6,0,3,0,5,4,6,1,3,5,4,2,2,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,6,0,4,6,0,4,1,4,5,2,4,3,2,0,2,4,2,1,3,2,3,3,1,7,2,7,2,0,6,3,1,2,4,1,1,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,5,3,3,0,6,0,3,6,0,3,0,1,8,5,4,1,0,2,0,6,0,2,3,2,2,2,0,8,1,5,2,3,6,3,1,1,4,4,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,2,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +23,1,1,2,5,4,1,1,5,0,5,4,5,4,0,2,5,2,1,0,0,2,7,1,1,2,1,7,1,8,1,4,0,5,8,1,4,3,2,2,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,4,3,2,1,2,2,5,8,1,1,1,1,8,5,4,1,5,0,0,4,1,0,5,3,2,1,0,2,7,8,1,0,2,7,1,1,5,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,7,0,0,0,2,3,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,5,1,4,8,0,1,1,4,4,3,3,4,2,1,2,3,2,1,2,2,3,3,1,4,5,6,2,1,6,3,1,3,5,1,1,6,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,3,5,2,0,9,0,0,0,4,5,4,5,0,0,0,0,4,0,5,0,9,0,0,0,4,5,5,3,2,6,3,0,0,4,0,5,0,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,3,4,3,3,0,4,0,5,9,0,0,0,0,9,6,3,0,9,0,0,0,0,0,5,0,3,2,0,9,0,0,5,4,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,5,7,0,5,0,4,5,0,4,4,4,2,0,2,7,0,0,0,3,6,0,0,0,3,5,2,9,0,5,0,4,9,0,6,2,2,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,4,0,0,5,6,0,3,2,4,4,1,5,3,3,0,0,6,0,0,2,3,3,3,0,0,9,6,3,0,5,4,0,0,5,2,3,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,2,5,1,2,5,1,3,1,4,5,0,7,2,4,0,3,1,3,0,3,2,4,2,0,9,0,5,1,3,7,2,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,2,3,2,3,5,2,3,3,3,4,0,3,6,0,0,0,3,3,3,0,1,3,5,1,9,0,4,1,5,8,1,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,1,1,6,6,2,2,1,5,4,2,5,3,4,1,0,4,2,1,3,2,2,3,1,8,1,6,1,3,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,0,0,"Yes" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,0,4,0,5,5,2,2,2,4,4,2,2,5,0,4,0,0,5,0,0,0,5,4,0,4,5,6,2,2,6,3,3,4,2,1,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,4,6,6,0,0,0,6,4,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,1,0,0,0,3,2,0,0,0,0,1,1,0,0,0,0,0,"No" +39,1,2,4,9,3,4,0,3,5,2,3,2,5,3,3,3,4,2,0,0,4,2,3,0,3,3,2,2,1,8,6,0,3,6,3,6,3,0,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,3,3,1,4,9,0,0,0,5,4,6,3,0,7,1,0,2,0,0,7,2,0,0,0,0,9,2,7,0,0,9,0,0,3,3,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,5,2,3,2,4,4,2,4,4,2,0,2,2,3,2,2,2,2,4,1,5,4,7,1,2,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,2,7,2,6,0,2,2,0,7,3,3,4,1,4,4,2,0,1,2,3,3,1,2,2,4,1,4,5,6,0,3,7,2,4,3,3,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,3,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,6,0,7,7,0,0,3,0,6,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,4,0,0,2,0,6,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,0,3,9,0,0,0,0,9,0,3,6,0,0,3,0,5,2,0,0,2,7,0,3,6,6,3,0,9,0,3,6,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,2,0,6,0,0,0,1,0,0,0,3,0,0,0,3,0,0,0,2,0,1,1,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,4,1,4,6,1,3,3,3,4,2,4,4,2,1,1,3,3,3,1,2,2,4,2,5,4,6,1,3,6,3,3,3,2,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,3,1,2,5,5,2,3,6,0,3,0,9,0,0,0,0,0,6,3,0,0,3,6,0,9,0,3,0,6,8,1,0,3,0,6,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,4,3,3,4,4,0,2,8,1,1,1,1,8,1,4,4,2,0,0,5,1,2,2,2,2,4,0,6,3,9,0,0,4,5,3,1,6,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +35,1,3,2,8,7,0,0,2,6,3,0,0,4,5,2,2,6,3,0,0,1,5,0,1,2,0,6,0,3,6,5,0,4,6,3,5,0,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,1,2,5,6,2,1,4,3,3,0,5,4,2,0,0,4,3,2,3,3,0,3,0,0,9,6,1,3,5,4,5,4,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,4,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,2,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,3,4,2,4,1,0,5,8,0,1,1,5,4,7,2,0,7,1,0,2,0,0,7,1,2,0,0,0,9,7,2,0,2,7,0,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,7,1,2,4,5,0,0,0,9,3,1,1,2,3,2,0,0,9,0,0,4,5,7,1,2,5,4,3,6,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,5,2,2,5,0,4,2,5,3,3,5,2,2,0,1,4,1,3,3,3,2,3,0,2,7,7,0,2,4,5,2,2,3,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,2,3,2,3,3,2,4,4,3,3,5,2,3,4,0,0,3,1,2,4,1,2,3,0,6,3,4,0,5,7,2,4,2,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,4,0,0,5,5,3,2,4,3,2,3,6,0,7,0,0,0,0,2,6,0,3,0,0,7,2,7,2,0,5,4,0,0,9,0,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,2,2,0,5,9,0,0,0,0,9,2,7,0,2,0,0,7,0,0,2,2,6,0,0,0,9,5,4,0,0,9,0,4,4,2,0,5,8,1,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,2,3,2,0,3,0,6,6,3,0,2,5,4,4,4,2,5,0,0,2,2,0,4,3,2,2,0,6,3,5,3,2,3,6,2,1,4,0,3,7,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,2,2,6,6,2,2,2,3,5,0,3,6,0,0,0,3,0,6,1,2,2,5,1,9,0,5,1,3,8,1,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,5,0,0,0,0,0,0,0,7,0,2,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,4,0,1,0,1,0,0,0,0,1,"No" +33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +23,5,1,3,5,4,1,0,5,1,2,6,6,3,1,1,6,3,1,0,0,8,0,1,0,4,2,3,0,8,1,3,1,6,8,1,5,2,2,1,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,3,2,3,6,3,2,4,3,3,0,6,5,2,3,1,6,2,3,0,0,3,1,4,2,1,3,4,0,5,4,3,0,6,7,2,3,2,3,2,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,3,0,0,6,9,0,0,0,6,3,2,4,4,2,0,0,3,3,2,2,2,3,4,0,2,7,6,0,3,4,5,0,2,4,4,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,0,7,0,2,9,0,0,0,3,6,2,5,2,0,0,2,5,2,0,4,4,0,2,0,4,5,4,5,0,5,4,2,5,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,1,8,4,3,1,3,5,2,3,0,9,0,0,6,3,0,0,0,9,0,0,0,4,0,0,5,5,5,7,2,0,4,5,0,0,6,3,0,7,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,2,1,6,3,2,4,4,4,2,2,5,2,2,0,0,5,1,2,1,2,4,2,2,8,1,7,1,2,6,3,4,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,4,5,0,4,3,4,3,0,0,9,0,0,0,0,5,4,0,0,0,7,2,6,3,6,1,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,2,0,5,2,5,0,5,0,3,6,0,5,4,0,0,0,5,4,0,0,5,0,4,0,3,6,6,3,0,5,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,1,1,1,3,0,2,5,5,1,3,5,4,0,5,5,0,0,0,0,2,0,7,0,2,7,0,0,9,0,2,2,6,9,0,7,0,0,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,4,0,0,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,2,1,1,4,1,3,0,5,0,1,8,8,1,0,5,4,0,2,0,0,5,0,2,1,2,5,2,0,9,0,2,0,7,6,3,8,1,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,5,1,3,8,0,1,1,4,5,7,2,0,3,1,0,6,0,1,5,4,1,0,0,0,9,6,2,2,2,7,1,1,6,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,0,5,0,4,4,0,5,4,3,3,2,2,6,5,0,0,4,0,0,2,0,2,0,6,4,5,5,2,4,5,4,3,3,0,3,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +2,1,3,3,1,2,4,2,2,9,0,0,0,4,5,5,4,1,5,4,0,1,0,1,8,1,0,1,0,0,9,3,6,0,1,8,1,3,4,2,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,4,1,0,7,1,1,7,0,2,1,4,4,0,5,4,3,0,2,4,0,1,0,3,3,2,2,2,7,6,1,2,3,6,4,1,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,1,0,3,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,2,0,1,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,6,0,0,0,2,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,1,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" +7,1,3,3,2,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,2,7,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,2,2,4,9,0,0,0,2,7,2,7,0,2,0,0,7,0,0,3,6,0,0,0,0,9,7,2,0,6,3,0,0,5,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,4,3,3,3,4,3,0,2,7,0,0,0,0,3,6,0,0,2,5,2,9,0,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,3,3,2,3,5,1,4,4,2,3,1,3,6,0,0,0,1,5,4,1,1,1,6,3,8,1,4,0,5,9,0,5,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,5,0,4,6,0,3,4,3,2,1,5,4,1,0,1,1,3,4,1,1,6,3,1,0,9,6,3,0,4,5,0,2,7,1,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,3,5,1,1,0,8,8,0,1,2,4,4,2,5,3,2,1,0,6,1,2,1,2,2,5,1,1,8,7,2,0,4,5,2,7,1,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,3,3,0,4,6,0,4,2,3,4,2,5,2,1,0,0,5,1,3,1,3,3,2,2,4,5,5,2,2,7,2,0,5,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,3,7,3,2,1,4,6,1,3,0,9,0,0,5,5,9,0,0,0,0,0,0,4,5,0,0,0,9,5,1,3,5,4,3,3,3,2,1,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,0,4,9,0,0,0,2,7,3,4,2,6,0,1,0,2,0,6,1,0,2,1,4,5,7,2,0,7,2,1,1,8,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,2,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,1,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,5,0,4,7,0,2,2,2,6,3,5,1,6,0,0,3,0,1,4,1,5,0,0,0,9,7,2,0,2,7,2,1,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,3,5,3,2,0,5,3,2,5,5,3,1,2,7,1,3,0,0,4,0,2,1,3,3,3,1,1,8,4,0,5,6,3,2,2,7,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,3,6,1,1,5,0,4,2,1,7,1,5,4,1,0,0,3,1,5,1,1,5,4,1,9,0,8,1,1,8,1,3,5,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,2,1,7,1,1,7,5,4,1,3,3,3,1,0,0,4,3,3,1,2,4,2,2,8,1,2,0,7,7,2,6,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,5,0,0,5,0,2,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,1,0,1,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,6,0,2,4,0,5,0,0,9,5,2,2,3,0,0,3,3,0,0,3,3,4,0,5,4,7,0,2,2,7,2,0,4,4,0,7,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,2,3,7,0,5,0,4,7,2,0,0,6,3,0,0,9,0,0,0,2,2,5,0,0,0,6,3,4,5,8,0,1,8,1,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,6,0,3,3,4,3,0,0,9,2,1,2,3,3,1,0,0,0,4,5,2,7,7,1,2,6,3,2,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,4,1,0,4,4,2,4,3,3,3,1,6,3,3,1,0,4,1,2,1,2,2,4,1,3,6,2,2,5,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,0,3,3,1,5,3,2,5,0,4,6,2,0,0,2,3,4,2,0,2,5,2,2,7,6,1,2,6,3,3,6,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,9,0,0,0,4,5,1,3,6,1,0,2,0,6,0,2,1,0,5,3,4,5,8,1,0,5,4,2,2,6,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,3,4,2,9,0,0,0,1,8,1,7,1,2,0,0,4,0,4,2,3,5,1,0,0,9,5,4,0,2,7,0,1,4,4,1,6,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,1,2,0,6,4,1,4,4,3,2,4,2,3,1,1,0,6,1,1,2,2,2,4,1,4,5,4,2,4,5,4,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,2,2,3,2,3,1,5,4,0,5,4,3,3,2,5,3,1,0,0,4,1,4,1,3,3,3,1,5,4,7,0,2,6,3,4,3,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,0,0,3,6,6,2,1,1,4,4,1,5,4,2,0,0,3,2,4,2,1,4,3,2,8,1,7,0,2,7,2,3,2,3,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +32,1,3,4,7,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,1,4,7,0,5,1,3,6,1,3,5,4,1,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,6,1,2,6,3,3,6,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,8,0,1,1,6,3,2,5,2,2,0,1,5,0,2,1,5,2,2,0,0,9,7,1,2,5,4,0,3,3,4,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,4,2,3,6,0,3,0,5,5,0,5,5,2,0,0,4,1,3,9,0,0,0,0,5,5,4,0,5,8,1,5,3,2,0,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,3,1,2,4,0,4,9,0,0,1,5,4,6,3,0,7,0,1,2,0,0,7,1,2,0,0,2,7,7,2,0,0,9,0,2,3,3,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +6,1,2,4,2,1,3,1,5,6,1,3,2,7,0,2,0,7,2,1,1,3,2,3,2,2,2,3,2,9,0,6,2,2,6,3,5,0,4,0,0,4,8,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,2,5,1,2,4,1,4,2,5,3,2,3,5,3,2,1,2,1,3,2,1,2,2,3,3,6,6,1,2,6,3,3,3,4,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,7,1,1,7,0,2,3,2,5,0,5,4,1,0,2,3,2,2,2,3,0,3,3,4,5,5,2,2,4,5,3,4,0,0,3,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,2,1,6,0,1,3,2,2,6,6,2,1,6,3,1,3,2,0,3,1,2,3,2,3,2,1,6,3,3,1,5,3,6,6,1,1,1,1,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,8,0,1,8,0,1,1,1,7,0,7,2,4,0,2,1,0,3,3,1,5,1,0,0,9,3,3,3,2,7,4,2,4,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,2,2,0,6,6,3,0,1,7,2,0,1,8,0,0,0,0,8,1,0,0,0,8,1,9,0,9,0,0,9,0,3,4,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,0,7,5,2,2,0,5,4,0,0,9,0,0,0,0,2,7,0,0,0,6,3,9,0,5,0,4,7,2,4,5,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,7,0,0,0,2,0,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,6,1,3,2,3,5,1,3,6,1,0,1,2,4,2,1,1,2,5,1,5,4,5,2,3,7,2,4,2,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,2,5,0,2,5,0,4,3,4,2,3,6,0,9,0,0,0,0,0,3,0,2,5,0,7,2,7,0,2,2,7,0,4,2,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,7,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,2,4,0,4,9,0,0,0,0,9,5,4,0,5,0,0,4,0,0,5,2,3,0,0,0,9,5,4,0,2,7,0,5,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,2,3,0,5,2,3,4,1,4,4,4,1,5,0,0,0,5,0,5,0,3,1,1,5,9,0,5,0,4,9,0,5,3,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +41,1,1,2,10,1,4,1,4,7,1,2,5,4,0,0,5,4,0,0,0,4,0,5,0,0,5,4,0,0,9,6,2,1,5,4,5,0,0,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,1,3,1,5,5,1,4,3,4,3,1,3,6,2,0,0,2,2,4,1,2,2,4,2,4,5,4,1,4,7,2,4,3,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,5,0,4,5,1,4,4,2,3,0,3,6,0,0,2,2,3,4,0,1,4,2,3,3,6,5,0,4,9,0,6,2,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,1,6,0,3,6,1,2,0,0,9,1,6,3,3,0,0,0,4,3,1,0,6,3,0,9,0,6,3,1,5,4,4,3,2,2,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,6,0,3,3,2,5,0,4,5,4,0,5,4,1,2,2,2,0,4,0,0,3,3,0,9,7,1,2,6,3,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,4,1,3,6,0,3,3,4,3,3,6,1,6,3,0,1,1,0,5,1,3,1,0,1,8,5,3,1,3,6,1,0,3,4,2,8,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,1,2,2,4,0,1,0,8,4,1,5,5,3,2,6,3,0,5,1,0,3,1,0,3,2,3,2,0,4,5,4,0,5,2,7,3,2,3,2,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +40,1,2,4,10,2,7,0,0,6,0,3,3,3,4,2,3,4,2,1,6,1,0,0,2,2,6,0,0,0,9,6,3,0,5,4,6,1,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" +26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,5,1,2,7,1,1,2,4,4,3,4,3,2,1,1,3,2,1,3,2,2,2,2,5,4,0,5,4,4,5,3,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +39,1,2,3,9,1,4,0,4,9,0,0,0,5,4,2,4,3,3,1,1,3,1,2,3,2,1,3,2,1,8,5,4,0,6,3,3,4,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,7,0,0,2,9,0,0,0,7,2,3,4,2,5,0,0,0,0,4,3,2,3,0,2,2,7,7,1,2,4,5,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,0,5,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,2,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,6,1,3,8,0,1,0,3,6,3,5,2,1,1,0,5,1,2,1,3,4,2,0,3,6,8,1,0,3,6,2,4,3,2,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,6,0,2,7,2,0,0,5,4,0,5,4,0,0,2,3,4,1,0,0,5,4,0,9,0,7,2,0,5,4,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,6,0,3,6,0,3,0,4,5,2,4,4,0,0,0,2,5,3,0,2,3,5,0,3,6,9,0,0,9,0,4,5,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,1,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,4,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,0,5,1,4,6,2,2,2,4,3,1,5,4,2,0,0,3,2,4,1,3,3,3,1,4,5,5,2,3,5,4,5,2,2,0,0,3,7,0,0,0,7,7,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,7,1,0,7,0,2,4,1,4,1,5,4,1,0,0,4,5,1,1,3,1,5,1,5,4,4,0,5,8,1,1,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,6,0,3,3,0,6,5,2,2,0,3,6,0,0,2,2,0,5,0,2,2,1,5,7,2,9,0,0,0,9,5,2,2,1,0,3,2,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,5,0,3,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,4,3,0,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,2,1,7,1,1,1,1,7,9,0,5,0,4,9,0,4,5,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,3,2,2,5,0,2,8,0,1,1,1,8,8,1,0,7,0,0,2,0,0,8,1,0,0,0,0,9,8,1,0,1,8,0,0,4,2,3,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,2,2,3,2,3,2,3,9,0,0,1,6,3,5,4,0,0,0,0,0,8,1,7,0,1,2,0,0,9,7,0,2,5,4,0,0,1,2,7,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,3,2,3,5,2,3,2,4,4,1,5,5,2,3,3,3,4,4,0,0,3,2,1,3,1,2,3,2,9,0,2,0,7,6,3,5,3,2,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +7,2,3,2,2,0,3,0,6,6,2,2,0,4,5,4,3,2,3,2,0,5,0,0,4,3,0,3,0,0,9,5,1,3,4,5,0,5,4,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,2,2,0,6,8,1,1,0,3,6,1,7,1,1,1,0,7,1,1,1,6,1,1,0,5,4,8,1,1,8,1,1,4,4,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,2,2,2,4,1,1,1,7,3,2,5,5,3,1,4,4,3,3,1,1,4,1,2,3,3,1,3,1,7,2,3,1,6,5,4,4,2,2,2,2,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,7,5,0,4,2,4,4,2,5,3,1,0,0,3,3,2,1,3,4,2,0,9,0,9,0,0,5,4,2,4,3,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +18,1,1,3,4,1,2,1,7,2,1,6,7,1,1,3,3,3,2,0,0,3,1,4,1,2,4,4,1,9,0,4,0,5,8,1,7,1,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,9,0,0,9,0,0,0,3,6,0,2,7,0,0,4,3,3,0,0,0,5,4,0,0,9,6,3,0,4,5,3,4,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,1,2,2,5,2,0,7,6,3,1,1,3,6,1,1,0,4,2,4,1,1,2,4,3,8,1,2,1,7,8,1,8,1,0,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,6,0,3,4,1,4,4,3,2,4,2,4,2,0,0,2,2,4,2,2,3,3,1,6,3,0,0,9,2,7,7,1,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,9,0,0,0,5,4,0,1,8,0,0,0,1,4,4,0,1,0,4,5,1,8,4,1,4,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +11,1,3,4,3,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,2,0,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +8,2,4,2,2,2,4,1,3,9,0,0,0,2,7,2,5,3,1,0,0,5,2,2,1,4,2,2,1,3,6,8,0,1,7,2,2,3,4,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,3,2,2,3,5,1,3,3,2,4,1,5,4,2,1,1,2,3,2,2,2,2,4,2,3,6,6,0,3,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,3,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,0,2,9,0,0,0,4,5,0,4,5,0,0,3,0,6,0,0,0,3,6,0,0,9,7,2,0,5,4,0,0,9,0,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,3,2,4,2,0,4,9,0,0,0,5,5,3,4,3,4,0,0,3,0,3,4,3,0,3,0,9,0,9,0,0,5,4,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,3,0,0,0,2,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,3,2,0,5,2,2,6,3,6,1,0,7,2,0,0,0,5,2,2,2,3,2,3,0,4,5,3,0,6,7,2,0,2,5,0,2,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,5,0,4,6,0,3,2,4,4,3,3,3,4,0,0,5,0,0,1,3,2,5,0,4,5,7,0,2,2,7,3,3,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,6,1,1,4,4,0,0,2,3,2,4,1,1,3,4,2,1,8,5,2,2,6,3,2,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,5,1,0,4,0,5,5,2,3,4,4,2,3,6,0,3,0,0,5,0,1,3,2,5,1,0,2,7,7,0,2,3,6,0,3,5,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,3,6,0,0,0,0,6,2,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +3,1,2,3,1,0,4,1,4,6,0,3,3,3,3,1,2,6,2,0,0,3,4,1,1,2,2,5,2,5,4,6,3,0,0,9,4,0,4,1,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,6,0,3,8,0,1,1,1,8,2,6,2,2,0,0,6,1,2,1,6,1,2,0,9,0,4,3,2,5,4,1,3,3,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,2,2,1,5,0,0,0,9,0,0,9,5,3,2,0,7,2,0,0,3,0,0,6,0,2,5,3,0,9,0,2,0,7,7,2,6,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,2,2,7,4,1,4,3,4,3,0,7,2,0,0,0,3,0,6,0,3,3,4,0,0,9,4,0,5,8,1,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,1,4,1,4,4,2,4,4,4,1,3,5,2,4,2,2,1,1,2,5,1,3,1,1,5,4,2,1,7,4,5,4,3,2,2,1,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,8,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,5,2,3,7,0,2,2,3,5,0,5,4,5,0,3,0,0,2,3,1,4,2,0,3,6,4,5,0,4,5,3,3,0,4,0,6,4,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,3,2,5,6,1,3,3,3,4,2,2,6,2,0,1,2,3,4,2,1,2,4,2,1,8,4,0,5,7,2,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,2,2,0,5,0,3,6,6,2,2,0,3,6,1,0,0,3,4,2,0,1,3,4,3,8,1,5,0,4,9,0,7,2,0,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,6,0,0,3,7,2,0,0,7,2,1,6,3,2,0,1,2,4,2,1,1,6,2,0,8,1,3,2,4,7,2,1,5,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,0,3,0,0,0,0,6,5,0,0,0,0,0,0,6,4,0,0,0,0,0,0,1,0,0,0,0,1,3,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,5,4,0,0,5,3,2,0,4,5,0,0,9,0,0,3,0,4,3,0,0,2,3,4,0,9,6,2,2,6,3,7,0,0,2,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,1,5,4,5,3,2,5,0,2,3,1,0,4,0,5,1,1,4,5,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +24,1,2,3,5,3,3,0,3,2,2,6,6,2,2,3,3,3,2,0,0,3,2,3,2,0,5,3,0,6,3,3,0,6,6,3,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +22,1,3,2,5,6,0,0,3,6,3,0,1,3,5,1,5,4,1,0,0,4,2,4,1,1,4,4,1,9,0,6,3,0,9,0,5,2,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,1,1,7,0,2,0,0,9,0,2,7,3,0,0,2,0,5,0,2,3,5,0,0,9,5,2,2,4,5,0,0,3,6,0,8,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,2,2,1,5,4,1,4,4,2,4,2,6,2,4,1,0,4,2,1,3,2,2,2,1,8,1,4,2,4,5,4,3,3,3,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,3,3,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,1,5,4,1,7,1,1,2,6,2,3,5,2,3,0,0,5,1,1,3,3,2,2,1,8,1,6,1,3,6,3,5,1,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,1,1,7,3,2,5,4,4,2,3,6,1,4,0,0,3,2,1,3,2,1,4,1,5,4,9,0,0,4,6,2,2,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +7,1,4,2,2,0,4,0,5,9,0,0,0,2,7,3,4,3,1,0,0,6,3,1,1,4,3,3,0,0,9,8,1,0,5,4,1,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,2,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,3,3,6,0,0,0,2,3,0,0,0,0,0,0,3,0,0,0,0,0,0,1,1,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,3,1,0,3,3,5,9,0,0,3,5,2,2,4,3,0,0,0,4,3,3,0,3,1,4,2,2,7,7,0,2,4,5,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,6,5,0,4,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,1,1,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,3,3,6,0,4,1,4,6,1,3,2,5,3,2,3,5,2,0,1,3,2,3,1,2,3,3,2,3,6,4,0,5,7,2,3,3,2,2,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,6,1,2,7,1,2,0,0,9,5,4,0,3,0,0,3,0,4,3,2,5,0,0,0,9,5,2,2,7,2,0,3,5,3,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,2,2,0,6,6,3,0,0,0,9,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,9,0,0,9,0,0,9,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,3,2,0,5,3,1,6,0,5,4,4,5,0,1,0,0,3,2,4,0,0,5,4,0,9,0,5,0,4,7,2,0,4,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +18,1,1,2,4,3,2,0,5,2,0,7,6,2,1,5,4,1,0,0,0,5,3,1,2,1,3,4,1,5,4,4,0,5,6,3,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,2,3,4,8,3,3,1,3,9,0,0,2,4,3,2,5,2,3,1,0,2,2,3,2,1,4,3,0,3,6,9,0,0,5,4,3,4,3,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,3,4,0,3,9,0,0,3,3,3,2,5,2,5,3,0,2,0,0,4,2,0,3,0,5,4,9,0,0,0,9,2,0,6,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,2,2,3,5,2,1,2,6,1,2,2,5,3,2,4,3,2,0,0,2,3,3,2,2,2,4,1,5,4,3,4,2,7,2,1,2,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,2,1,0,2,2,6,5,2,3,3,3,4,2,5,3,2,0,0,4,1,3,2,2,3,1,3,3,6,6,0,3,7,2,5,1,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,1,6,2,2,7,1,2,5,3,2,0,5,4,0,0,0,0,9,0,0,0,0,6,3,5,4,7,1,2,7,2,3,4,0,3,0,4,2,2,0,0,6,0,6,0,0,0,0,0,4,0,0,0,2,0,0,1,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"Yes" +16,1,1,3,4,1,1,1,7,2,1,7,6,3,1,5,2,2,3,0,0,2,1,4,2,1,4,3,2,6,3,3,0,6,6,3,8,1,1,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,3,7,1,2,2,6,7,2,1,1,4,5,1,4,4,2,0,0,4,2,2,1,2,2,5,0,6,3,6,1,2,6,3,3,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,0,5,9,0,0,0,9,0,0,0,9,1,0,3,3,2,2,0,0,0,4,5,5,5,9,0,0,7,2,6,3,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,3,0,0,0,0,6,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,2,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,1,1,6,6,2,5,2,0,0,0,9,8,1,0,1,2,7,1,0,1,4,5,1,1,0,1,6,2,8,1,0,0,9,9,0,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,4,5,3,4,1,2,5,1,3,4,4,2,2,4,4,3,0,1,4,0,2,2,2,3,4,1,6,3,7,2,0,4,5,4,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,2,1,2,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,3,3,5,1,5,1,4,4,1,5,3,2,5,2,4,3,1,0,0,4,2,3,1,1,5,3,1,8,1,4,1,4,6,3,6,3,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,5,1,3,7,0,2,2,4,4,3,4,3,3,2,1,3,2,0,4,2,2,2,1,5,4,6,2,2,3,6,2,3,4,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,"Yes" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +3,1,2,5,1,2,5,1,2,4,1,5,3,5,1,2,5,3,6,1,0,2,1,1,4,2,4,1,1,3,6,7,2,1,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,2,5,2,2,1,6,5,2,3,3,2,5,2,4,3,2,1,1,4,2,2,2,2,3,3,1,4,5,7,1,2,4,5,2,3,3,2,1,5,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,2,4,4,4,2,2,2,6,3,0,3,0,0,4,3,0,3,4,0,2,7,6,3,0,2,7,4,0,6,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,8,0,1,7,2,0,0,5,4,2,1,6,4,2,0,2,2,2,2,1,2,3,2,3,6,6,2,2,4,5,2,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,5,0,3,8,1,0,2,3,5,2,2,5,2,0,2,3,3,0,2,0,4,2,2,2,7,7,2,0,5,4,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,2,8,1,3,3,3,5,0,4,3,1,5,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,6,2,3,8,1,7,1,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,5,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,6,1,2,2,6,2,1,1,3,6,2,4,4,2,2,0,2,3,2,3,2,2,4,1,6,3,5,2,3,5,4,1,4,5,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,3,4,0,3,5,0,4,5,4,0,2,7,0,4,0,0,3,1,2,0,5,3,2,0,0,9,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,4,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,3,3,5,9,0,0,0,3,6,3,6,0,1,0,0,8,1,0,1,6,3,0,0,0,9,3,6,0,0,9,0,0,1,8,1,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,0,3,6,7,0,2,3,3,3,1,1,8,2,0,0,1,5,3,1,1,1,7,1,8,1,4,2,4,3,6,1,6,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,3,4,1,2,5,0,4,4,1,5,3,5,2,5,0,0,3,2,1,2,2,3,2,1,7,2,8,1,0,8,1,2,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,4,0,5,9,0,0,5,2,3,2,5,2,6,0,0,3,0,0,1,1,2,3,2,7,2,9,0,0,7,2,6,0,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,7,0,2,0,6,0,3,1,4,4,1,5,4,1,0,0,3,2,4,1,2,2,5,2,3,6,9,0,0,6,3,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,5,0,2,3,6,0,3,0,3,6,0,5,4,2,0,0,4,2,2,2,2,3,5,0,1,8,7,2,0,5,4,2,6,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,0,9,0,0,5,0,4,2,4,3,0,9,0,4,0,0,5,0,0,4,5,0,0,0,2,7,7,2,0,3,6,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,3,0,6,5,0,4,2,4,3,2,5,2,4,0,2,4,1,0,4,3,3,1,0,2,7,8,1,0,5,4,1,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +9,1,3,2,3,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"Yes" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,1,5,1,3,5,1,4,5,3,2,2,2,6,4,1,1,3,2,2,2,1,2,4,2,6,3,6,0,3,5,4,3,4,3,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,2,5,0,2,5,2,3,3,5,2,2,3,4,2,0,0,4,2,2,2,1,2,5,1,7,3,6,0,3,7,2,4,3,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,6,1,3,4,3,3,2,5,3,0,4,5,3,0,0,3,2,2,1,1,3,5,1,8,1,6,0,3,7,2,2,2,5,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,5,1,4,6,1,3,1,2,7,4,2,4,2,0,0,6,1,1,4,1,2,3,0,1,8,8,1,0,6,3,1,2,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,0,2,7,4,3,3,3,2,4,5,4,0,3,2,0,3,2,0,4,2,2,2,0,9,0,7,0,2,6,3,2,5,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,2,4,9,0,0,0,4,5,5,3,2,5,0,0,2,2,1,5,2,2,2,0,0,9,7,2,0,2,7,0,2,3,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,0,5,5,2,2,1,5,3,1,5,3,1,0,1,7,1,1,1,4,2,3,0,1,8,6,2,1,4,5,2,3,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,0,2,3,5,6,1,3,2,2,5,2,2,6,0,0,0,3,2,4,0,2,2,5,1,8,1,6,2,2,9,0,5,3,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,8,0,1,7,0,2,0,7,2,0,4,5,0,1,0,2,6,2,0,1,2,7,1,1,8,7,2,0,7,2,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,2,4,1,2,1,6,2,2,7,7,1,2,3,6,1,2,1,0,6,1,2,2,4,3,1,0,6,3,6,1,3,5,4,4,3,2,1,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,2,5,2,2,6,3,3,3,3,4,3,3,0,0,0,0,6,1,2,2,4,2,9,0,3,0,6,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,2,4,0,0,2,7,4,2,4,4,2,3,5,4,0,2,2,0,4,1,2,4,3,2,1,1,7,2,5,0,4,5,4,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,2,0,7,5,0,4,4,1,5,2,3,4,0,0,0,9,0,0,0,3,2,4,0,1,8,9,0,0,6,3,0,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,3,6,6,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,2,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,6,1,2,6,2,2,0,3,6,0,6,3,0,0,3,2,0,4,0,2,2,5,0,4,5,5,2,3,6,3,5,4,0,0,0,3,5,0,3,0,6,0,0,0,0,0,0,0,6,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,2,6,0,4,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,6,3,0,9,0,0,1,4,4,2,3,5,2,0,1,3,1,3,2,1,1,6,0,2,7,4,4,2,4,5,1,4,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,6,0,6,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,1,7,0,2,8,0,1,1,3,6,3,5,2,1,0,2,3,4,0,2,1,4,3,1,0,9,7,2,0,5,4,0,8,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,6,0,0,3,4,0,5,4,0,5,0,4,5,0,0,0,0,6,3,0,0,5,4,0,6,3,4,0,5,6,3,3,4,2,2,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,0,5,4,1,5,5,1,4,0,4,5,0,0,0,3,6,1,0,3,0,6,1,5,4,6,0,3,7,2,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" +41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,3,0,0,0,0,0,6,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,3,2,0,5,8,1,0,0,1,8,6,3,1,4,0,0,4,1,0,5,4,1,1,0,0,9,7,1,1,1,8,0,0,3,6,1,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,4,3,5,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,3,5,2,5,2,2,5,1,3,4,2,4,2,4,4,5,0,0,3,1,1,4,1,2,3,1,2,7,6,0,3,5,4,3,2,4,0,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,5,0,4,7,0,2,2,3,5,2,2,6,3,0,2,3,1,3,1,2,4,4,0,4,5,5,3,2,5,4,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,1,3,5,0,3,2,5,1,1,8,7,2,1,2,2,6,1,0,0,3,3,4,1,2,2,5,1,9,0,5,0,4,7,2,5,4,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,0,2,0,7,9,0,0,0,0,8,3,0,6,3,0,0,0,3,3,3,0,0,6,0,0,9,5,2,2,5,4,6,0,0,3,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +40,1,2,4,10,0,4,0,5,5,2,2,4,2,4,0,1,8,4,0,2,2,3,0,0,0,5,4,0,9,0,6,2,2,6,3,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,4,3,2,6,3,0,0,4,0,5,1,4,4,1,8,0,1,0,0,5,3,0,1,1,7,0,0,0,9,7,2,0,4,5,0,2,4,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,0,4,5,0,4,3,3,3,2,3,5,0,0,0,3,1,6,0,2,2,6,0,9,0,7,0,2,5,4,5,3,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,2,3,4,1,3,5,3,0,1,3,1,2,2,1,4,3,2,4,5,4,2,3,6,3,4,3,2,0,1,4,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,5,0,6,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,2,1,6,4,2,4,3,2,4,4,4,2,2,1,0,3,2,3,2,2,3,3,1,7,2,5,1,4,5,4,4,3,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,8,1,0,1,6,1,3,0,1,8,3,3,4,5,0,0,3,2,0,3,2,1,2,3,5,4,6,1,3,5,4,4,2,2,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,1,2,3,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,5,1,4,7,1,2,2,3,5,2,3,5,2,1,2,1,4,1,3,1,2,4,1,2,7,6,3,1,6,3,2,3,4,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,2,4,4,7,0,2,1,4,4,3,5,2,2,0,0,4,1,3,1,3,3,3,1,5,4,7,0,2,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,4,2,0,4,8,1,0,0,2,7,5,3,1,2,0,0,6,1,2,5,3,1,1,0,0,9,7,2,0,4,5,0,1,4,2,3,8,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,1,3,3,0,9,0,0,0,0,9,9,0,0,0,0,9,0,0,0,0,9,0,0,0,0,7,2,9,0,0,0,9,9,0,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,5,3,2,4,3,3,0,3,6,3,6,0,2,0,0,5,0,2,2,5,2,0,0,6,3,7,0,2,5,4,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,2,4,0,6,0,0,0,0,0,0,0,6,0,0,0,7,0,0,0,3,0,1,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,5,0,4,7,0,2,5,0,4,0,0,9,3,0,2,3,1,3,0,0,0,9,0,5,4,5,3,2,5,4,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,0,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,3,2,2,3,9,0,0,0,0,9,3,6,0,3,0,0,6,0,0,3,4,3,0,0,9,0,9,0,0,4,5,0,0,9,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,1,1,1,4,0,5,0,5,0,0,9,9,0,0,9,0,0,0,0,0,0,0,9,9,0,0,0,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,2,2,1,6,3,1,5,4,2,4,2,5,2,4,0,0,4,2,1,3,2,2,2,1,7,2,5,2,2,6,3,0,4,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,3,2,4,6,0,3,2,4,4,1,2,6,2,0,0,2,3,4,1,0,3,5,2,1,8,6,2,2,8,1,3,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,6,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,4,3,3,1,1,1,7,9,0,0,0,0,9,2,4,4,0,0,0,4,3,3,0,3,0,4,2,9,0,4,1,5,6,3,3,0,4,3,0,6,5,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,5,8,3,6,0,0,9,0,0,0,7,2,2,0,7,0,0,2,2,5,0,0,2,2,6,0,7,2,6,0,3,9,0,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,5,1,4,4,3,2,2,1,6,2,7,1,2,0,0,4,3,2,1,1,3,5,1,4,5,8,0,1,9,0,3,4,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +23,1,2,2,5,2,4,0,4,1,3,5,5,3,2,2,5,3,0,0,0,2,5,2,0,2,3,5,0,9,0,4,0,5,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,2,3,4,2,7,0,2,2,6,2,2,5,3,3,1,2,2,0,3,2,2,4,2,0,6,3,7,0,2,6,3,1,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,3,3,1,3,4,0,5,3,4,3,4,3,3,3,0,0,0,3,4,1,0,3,3,3,4,5,7,0,2,6,3,3,4,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,2,5,0,3,2,4,4,5,4,1,1,6,3,1,0,2,2,5,2,2,0,2,4,1,8,1,4,0,5,9,0,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,9,0,0,9,0,0,0,5,4,0,7,2,2,0,0,2,2,4,2,0,3,4,0,3,6,5,0,5,9,0,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,3,2,2,5,1,2,0,7,1,7,2,2,6,2,2,3,5,1,0,0,5,2,1,2,1,3,5,1,8,1,8,0,1,8,1,4,3,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,5,2,0,3,5,2,3,2,4,3,0,4,5,2,0,0,0,7,0,2,0,0,6,2,9,0,7,2,0,4,5,3,3,4,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,4,2,10,4,4,0,2,6,3,0,0,3,6,2,2,6,0,0,4,2,2,3,2,0,4,4,0,0,9,7,2,0,6,3,5,0,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,2,1,0,2,0,7,5,0,4,4,4,2,7,2,0,7,0,0,2,0,0,7,2,0,0,0,0,9,6,3,0,4,5,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,2,1,1,6,5,3,2,1,3,5,1,3,5,1,1,0,2,4,3,1,1,2,6,1,8,1,5,1,4,6,3,4,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,6,0,3,7,2,0,0,6,3,1,8,1,3,3,0,3,0,1,2,2,4,1,2,2,7,7,0,2,4,5,0,1,8,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,4,0,0,0,0,0,0,0,4,0,8,0,0,0,4,0,0,0,0,0,1,1,0,0,0,0,0,0,0,2,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,3,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,4,3,2,0,5,0,4,9,0,0,0,3,6,4,5,0,0,0,0,6,0,3,0,3,6,0,0,0,9,5,4,0,4,5,0,0,3,6,0,8,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,0,0,0,0,0,2,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,4,6,0,0,0,2,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,4,2,4,3,1,3,5,2,3,0,7,2,0,5,4,0,0,5,0,5,0,0,0,5,4,0,6,3,7,2,0,4,5,2,6,2,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +20,1,1,6,5,0,6,0,3,0,0,9,9,0,0,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,0,0,9,9,0,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,1,5,1,3,6,1,2,2,4,4,2,4,4,2,0,4,3,1,1,3,2,4,2,0,1,8,6,3,1,3,6,2,2,5,2,1,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,0,5,0,4,9,0,0,0,3,6,6,3,0,6,2,0,1,0,1,8,1,0,0,0,0,9,9,0,0,3,6,0,1,3,4,3,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,2,3,3,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,1,3,7,2,1,1,4,5,3,4,3,2,0,1,6,2,0,2,3,2,3,0,4,5,3,3,4,7,2,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,"Yes" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,6,0,3,7,0,2,0,4,5,1,1,8,0,0,0,9,0,0,0,0,1,8,0,3,6,6,1,2,7,2,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +37,2,2,2,8,0,5,1,3,7,1,1,1,4,4,1,6,2,2,0,0,4,4,0,2,2,1,4,0,3,6,7,2,0,6,3,1,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,5,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,1,5,3,2,4,3,2,2,5,3,2,5,2,3,0,0,5,1,1,1,2,3,3,0,8,1,7,1,2,7,2,1,3,4,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,0,3,6,9,0,0,0,3,6,5,4,0,4,1,0,3,1,2,5,3,2,0,0,8,1,9,0,0,0,9,0,2,2,3,3,0,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,1,2,2,5,5,2,2,4,4,1,1,4,4,2,0,0,3,2,4,1,2,1,5,1,7,2,6,1,3,8,1,2,5,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,3,3,4,2,4,3,3,3,0,3,6,0,0,0,4,1,4,0,0,3,6,1,9,0,3,0,6,8,1,7,2,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,0,7,0,2,8,0,1,1,6,3,0,4,5,0,0,4,3,0,3,0,2,6,2,1,0,9,8,1,1,2,7,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,3,3,5,1,7,0,1,9,0,0,0,3,6,1,3,5,1,0,0,2,4,3,1,1,2,6,1,6,3,7,2,0,7,2,1,4,4,2,0,5,2,0,0,0,6,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,"Yes" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,"No" +36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,1,3,2,3,0,5,3,2,4,3,3,0,2,7,0,4,5,0,0,0,3,3,4,0,0,2,7,0,7,2,7,0,2,5,4,2,2,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +25,1,2,3,6,2,3,1,4,6,2,2,2,4,4,2,4,4,3,1,1,4,1,2,2,2,3,3,1,2,7,6,1,2,6,3,2,3,4,2,1,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,3,3,2,5,1,3,4,3,3,3,4,3,4,0,0,3,2,2,2,2,2,3,2,5,4,6,1,3,4,5,3,1,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,2,3,3,1,2,4,0,4,8,0,1,0,0,9,6,3,0,4,0,0,3,0,3,6,3,0,0,0,0,9,3,4,3,5,4,0,0,0,5,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,0,4,2,0,7,7,2,0,0,0,9,2,1,3,2,1,3,0,0,4,3,2,8,1,2,0,7,6,3,9,0,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,7,0,2,6,0,3,0,9,0,0,5,5,0,0,0,0,5,5,0,0,0,9,0,9,0,3,2,5,6,3,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,7,0,2,9,0,0,1,3,6,0,1,8,0,0,0,1,2,6,0,0,1,6,3,9,0,7,0,2,5,4,3,6,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,4,0,0,5,2,0,7,6,2,2,0,5,5,1,0,0,2,0,6,1,2,2,5,0,9,0,6,0,3,6,3,0,3,5,2,0,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,0,3,6,0,6,3,0,0,0,9,0,0,0,0,0,9,0,9,0,6,2,1,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,3,3,0,4,5,2,2,1,5,3,4,4,2,3,0,0,5,2,1,4,3,2,2,0,4,5,6,1,3,6,3,1,2,4,3,1,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,4,2,0,4,3,4,9,0,0,0,4,5,3,4,2,5,0,0,2,2,0,4,0,2,3,0,2,7,8,1,0,6,3,3,0,6,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,3,2,1,4,8,0,1,1,5,4,3,4,3,3,1,0,4,1,3,3,2,2,3,0,2,7,7,2,0,3,6,0,3,4,2,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,1,3,0,5,6,1,2,5,3,1,0,3,6,3,0,0,0,3,4,0,1,3,2,5,6,3,7,2,0,4,5,6,1,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,8,0,1,4,0,5,4,2,4,3,3,4,5,0,0,4,1,1,3,2,1,3,2,4,5,3,2,5,7,2,5,0,3,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,2,0,7,4,0,5,4,4,1,2,5,3,3,0,0,2,3,3,2,3,0,4,0,6,3,4,0,5,7,2,3,3,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,5,1,1,3,5,1,4,3,4,3,2,2,5,1,1,0,5,1,2,1,2,3,4,2,7,2,6,1,3,5,4,2,2,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,7,0,0,0,2,5,0,3,0,0,0,0,6,0,0,0,0,0,0,0,1,4,0,0,0,1,2,0,1,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,5,6,1,5,1,3,2,0,7,7,1,2,2,5,3,1,2,1,5,1,2,2,1,5,2,0,1,8,4,1,4,3,6,1,7,1,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,2,4,0,7,0,0,0,0,0,0,0,0,0,0,6,7,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,1,2,8,0,9,0,0,6,0,3,9,0,0,0,9,0,0,0,0,0,0,9,0,0,9,0,0,9,0,6,0,3,4,5,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,2,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,2,2,5,3,0,6,3,1,5,2,4,3,4,0,2,2,2,2,3,1,3,2,2,4,5,3,0,6,9,0,4,2,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,3,2,4,5,0,4,1,4,7,0,2,4,2,4,2,4,4,3,1,0,2,1,3,2,1,2,2,3,5,4,9,0,0,4,5,3,3,2,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,9,0,0,6,0,3,4,3,2,0,5,4,3,0,0,2,2,4,1,1,3,4,0,6,3,6,0,3,4,5,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,4,3,1,0,0,6,0,2,1,3,4,3,0,6,3,5,1,3,8,1,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,2,5,6,0,8,1,1,5,0,4,3,5,1,1,3,5,1,0,0,2,1,6,1,1,3,3,2,6,3,4,0,5,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,3,3,8,2,7,0,0,5,2,2,0,3,6,0,2,7,0,0,0,0,3,6,0,2,0,4,3,9,0,2,2,5,9,0,0,3,6,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +31,1,3,1,7,4,0,0,5,4,0,5,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,9,0,7,2,0,4,5,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,4,3,3,4,0,5,4,2,3,0,1,8,0,0,0,1,0,8,0,1,0,2,7,8,1,5,2,3,4,5,6,3,1,1,0,2,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,"Yes" +25,1,2,4,6,2,2,1,5,4,1,5,4,4,2,2,5,3,2,0,0,5,2,1,2,2,3,3,1,8,1,4,1,5,6,3,3,3,2,2,1,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,4,0,6,6,0,4,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,3,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,5,2,0,3,5,2,3,1,5,3,0,3,6,2,0,0,0,7,0,3,0,0,6,1,9,0,7,2,0,4,5,3,4,3,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,1,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,5,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,0,0,9,2,6,2,0,4,5,4,4,2,5,2,0,3,0,0,6,0,2,2,0,2,7,6,0,3,2,7,0,0,4,5,0,7,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +7,1,2,3,2,0,9,0,0,4,2,3,2,2,5,3,2,5,2,0,0,3,4,0,1,2,3,4,0,5,4,5,2,3,4,5,2,4,2,2,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,3,2,9,0,0,3,6,2,6,3,0,8,0,0,0,0,1,8,0,1,0,0,1,8,5,4,0,2,7,1,0,1,7,2,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,0,5,6,0,3,3,4,3,0,3,6,2,0,0,0,6,2,0,0,3,6,0,3,6,6,2,3,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,1,1,4,2,2,1,6,2,2,6,9,0,0,9,0,0,3,0,0,4,1,3,0,2,7,0,0,9,0,2,1,7,4,5,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,2,1,2,4,1,2,0,6,0,1,8,8,1,1,7,2,1,3,1,0,3,1,3,3,1,5,1,1,8,1,1,0,8,4,5,7,1,1,1,1,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,4,6,0,4,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,3,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,5,0,2,8,0,1,1,3,6,2,2,6,0,2,4,2,2,1,1,3,5,2,0,1,8,4,5,0,2,7,5,1,0,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,3,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,4,3,9,1,6,2,1,9,0,0,1,0,8,4,3,3,2,0,0,2,4,2,3,3,4,1,0,6,3,6,2,1,6,3,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,2,1,5,7,1,2,1,3,5,1,3,5,1,1,0,4,3,2,1,2,2,5,1,8,1,6,1,2,6,3,3,4,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,0,0,0,4,2,0,6,2,0,0,9,9,0,0,4,5,0,0,7,0,2,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,0,4,2,4,5,0,4,4,2,3,0,5,4,2,0,0,3,4,0,0,3,0,6,0,0,9,6,1,3,6,3,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,5,0,4,7,0,2,2,7,0,2,5,2,3,0,3,5,0,0,4,3,0,2,0,2,7,9,0,0,2,7,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,3,0,0,6,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,2,2,5,0,0,4,9,0,0,1,6,2,8,1,1,2,0,0,2,0,6,5,3,1,1,0,2,7,7,2,0,0,9,0,0,3,5,2,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" +6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,"No" +8,1,3,3,2,7,0,0,2,7,0,2,1,3,6,2,3,5,3,0,1,3,3,1,3,1,1,5,1,4,5,7,2,1,5,4,2,3,3,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,1,1,0,7,8,0,1,1,3,6,1,5,4,1,0,0,3,5,1,1,2,2,4,1,1,8,7,2,1,5,4,3,0,6,1,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,6,0,3,9,0,0,0,0,9,0,6,3,0,0,0,6,0,3,0,2,4,3,0,9,0,3,3,4,6,3,4,0,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,2,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,1,0,"Yes" +24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,4,6,1,2,2,3,5,1,3,6,1,1,1,3,3,2,1,2,2,5,2,5,4,5,2,2,7,2,4,4,2,1,1,3,4,2,0,0,7,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,4,2,1,0,4,0,5,9,0,0,0,0,9,0,2,7,0,0,0,5,2,2,0,2,0,7,0,7,2,9,0,0,9,0,3,0,4,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,3,2,1,5,0,4,7,0,2,1,4,5,3,5,1,4,0,0,4,0,1,3,1,4,2,0,6,3,6,1,2,5,4,1,1,7,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,2,1,1,4,3,0,1,6,1,2,7,8,1,1,8,1,0,2,1,0,2,0,5,1,1,7,1,0,8,1,3,1,6,3,6,8,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,4,2,3,0,4,2,4,8,1,0,0,1,8,2,5,3,2,0,0,4,0,4,2,5,1,3,0,0,9,9,0,0,4,5,0,2,7,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" +11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,4,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,5,1,4,7,1,2,0,5,4,0,5,4,4,0,1,3,1,2,0,0,0,9,0,7,2,6,2,1,4,5,0,2,7,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,1,3,8,0,9,0,0,5,0,4,5,4,1,0,1,8,0,0,2,0,3,5,0,4,0,5,0,0,9,3,2,4,7,2,8,1,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,2,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,4,0,4,7,0,2,2,3,5,4,4,1,2,0,0,5,1,2,2,3,4,2,0,3,6,9,0,0,3,6,2,2,3,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,3,5,0,1,9,0,0,0,2,7,4,3,3,1,0,0,5,2,2,0,4,1,4,2,7,2,6,1,3,5,4,2,2,3,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,1,8,0,0,7,1,1,0,1,8,0,3,6,1,0,1,3,4,1,1,1,1,5,2,6,3,4,4,2,9,0,2,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,1,1,6,6,1,3,2,4,4,2,4,4,2,1,0,4,3,2,2,2,2,4,1,8,1,4,1,5,8,1,3,3,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,3,6,0,0,0,0,6,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,4,1,1,4,2,3,5,0,4,3,4,2,3,4,3,3,0,0,3,1,2,4,3,0,1,3,3,6,6,0,3,4,5,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,3,1,2,4,9,0,0,0,5,2,3,9,0,0,5,5,0,3,3,0,3,0,0,3,4,0,3,0,6,3,4,1,5,5,4,6,0,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,4,3,3,1,5,2,2,7,2,0,0,2,7,3,4,3,2,0,0,5,1,2,1,3,1,4,1,3,6,6,1,2,6,3,1,1,5,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,6,0,3,3,2,5,0,5,4,0,0,0,3,6,0,0,0,4,5,0,0,9,5,2,2,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,3,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,4,2,4,9,0,0,0,3,6,7,2,0,3,0,0,3,0,3,5,3,2,0,0,2,7,7,1,1,4,5,2,0,4,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,3,5,5,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,1,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,1,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,3,2,0,0,2,2,6,0,0,3,6,6,2,2,3,6,0,0,7,2,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,1,3,1,5,5,1,3,3,2,4,2,4,3,2,1,1,3,2,2,2,2,2,4,1,6,3,7,1,2,5,4,2,4,3,1,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +7,3,2,2,2,0,3,0,6,4,0,5,4,2,3,2,3,5,6,0,0,2,2,0,4,0,0,2,4,6,3,4,2,4,4,5,4,3,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,1,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,2,4,2,2,2,1,5,5,2,3,0,7,2,3,6,1,0,0,0,8,1,1,0,8,0,1,0,8,1,5,1,4,6,3,2,2,4,4,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,5,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,2,5,2,2,2,5,5,1,4,2,2,6,0,5,4,1,0,0,4,3,2,1,1,2,6,0,2,7,5,1,3,8,1,2,6,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,2,3,2,4,2,2,6,5,3,2,4,4,2,2,0,0,6,0,2,1,3,4,2,1,9,0,2,0,7,5,4,6,2,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,0,5,6,0,3,2,3,5,2,3,4,2,0,0,4,3,1,1,2,2,5,0,5,4,6,0,3,6,3,1,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,3,3,8,0,0,1,5,2,3,3,4,3,3,2,4,3,0,0,4,2,0,2,2,2,4,0,2,7,5,3,2,6,3,3,3,3,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,1,4,7,2,1,1,5,4,3,4,2,3,2,0,2,2,1,5,2,1,3,0,2,7,5,4,1,4,5,1,1,3,5,0,7,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,1,5,6,2,1,0,3,6,2,4,4,2,0,0,4,1,3,1,3,1,4,1,9,0,6,1,2,7,2,3,3,3,0,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,2,3,2,4,6,1,3,2,4,4,1,4,4,1,0,0,4,3,3,1,2,2,4,2,5,4,6,1,2,7,2,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,2,2,3,4,1,2,1,6,3,2,5,5,3,1,5,4,1,5,0,1,3,0,1,5,3,2,0,0,7,2,4,2,4,7,2,5,1,3,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,2,4,3,1,2,5,2,3,5,5,2,2,4,3,2,3,1,0,3,1,3,3,2,2,3,1,7,2,2,0,7,6,3,5,3,2,1,1,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,2,2,0,6,7,1,1,1,3,5,5,4,1,3,1,0,4,1,1,5,3,1,1,0,1,8,9,0,0,0,9,0,0,2,4,3,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,2,0,6,0,0,0,0,4,4,0,0,0,0,6,6,0,0,0,0,0,0,1,0,1,0,0,0,0,2,1,0,0,0,0,1,1,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"Yes" +29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,4,0,5,5,0,4,1,0,8,0,6,3,0,0,0,5,4,1,0,1,4,5,1,6,3,5,0,4,9,0,5,0,2,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,4,3,2,5,2,3,3,5,2,1,3,6,1,1,0,3,2,4,1,2,2,3,3,6,3,6,1,3,8,1,4,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,0,4,0,5,3,3,3,3,4,2,2,3,5,2,0,0,2,3,4,1,2,0,4,3,9,0,5,0,4,9,0,5,3,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,4,4,7,0,2,0,7,6,3,0,0,3,6,3,4,3,3,0,4,0,0,3,4,2,0,0,3,0,9,9,0,0,5,4,3,4,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,3,2,4,6,0,3,3,4,3,2,4,4,5,0,3,2,0,0,3,2,3,2,0,7,2,5,2,3,4,5,3,2,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,4,9,0,0,0,7,2,3,3,3,9,0,0,0,0,0,3,3,2,0,2,0,9,9,0,0,2,7,5,0,3,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,1,3,1,5,6,3,1,1,4,5,2,6,2,3,0,0,4,2,1,3,4,2,2,0,8,1,6,3,1,5,4,1,4,4,1,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,2,2,5,6,0,6,0,3,5,2,4,4,5,1,1,1,7,0,0,4,1,3,2,0,1,4,4,1,7,2,5,0,4,5,4,0,5,5,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,3,3,0,5,0,4,9,0,0,0,4,5,2,4,4,0,0,0,4,0,5,0,3,0,6,0,5,4,9,0,0,7,2,4,0,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,3,0,5,6,0,3,3,0,6,6,3,0,5,0,0,3,1,1,2,5,3,1,0,8,1,3,2,4,4,5,0,1,8,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,6,1,2,7,1,1,2,4,4,2,3,4,2,0,1,5,2,0,2,2,3,3,0,3,6,4,2,4,6,3,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,2,3,5,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,6,0,3,4,0,5,4,4,2,2,4,4,0,4,0,0,5,0,0,0,5,4,0,3,6,5,2,2,5,4,3,3,2,3,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,2,2,2,4,1,3,1,5,4,2,4,4,4,1,7,2,1,5,1,1,3,1,1,5,3,1,1,1,5,4,6,2,2,3,6,2,2,3,3,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,3,3,1,4,6,2,2,2,4,4,2,5,3,3,0,0,4,2,1,2,2,2,4,1,4,5,7,1,2,5,4,4,3,3,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,3,0,6,6,0,3,0,1,8,5,1,4,4,0,2,3,1,0,0,7,1,2,0,4,5,6,2,2,5,4,5,4,0,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +19,1,2,2,4,3,0,0,6,3,2,5,4,3,3,4,3,3,0,0,0,5,2,2,3,4,0,3,0,4,5,3,2,5,5,4,4,0,3,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,3,3,1,2,2,0,6,5,2,3,2,4,4,3,6,0,2,2,0,6,0,1,3,2,5,0,0,5,4,6,0,3,5,4,4,2,1,2,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,5,3,2,2,5,0,2,9,0,0,0,0,9,6,3,0,4,0,0,5,0,0,6,3,0,0,0,0,9,7,2,0,4,5,0,3,3,2,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,0,7,0,2,9,0,0,0,4,5,1,4,5,1,0,2,0,7,0,1,2,0,7,1,4,5,7,2,0,8,1,3,3,4,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,2,3,3,2,1,1,6,6,1,3,4,3,2,0,2,7,0,0,0,6,3,0,0,2,4,3,0,0,9,7,0,2,6,3,0,0,6,0,3,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,4,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,0,0,4,5,0,2,7,6,2,2,0,6,3,0,0,0,3,0,6,0,0,5,2,3,7,2,2,0,7,9,0,9,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,3,3,9,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,9,0,0,5,0,4,3,3,4,1,2,7,2,0,0,2,4,3,1,0,1,6,2,3,6,7,1,1,9,0,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,2,0,6,0,0,0,0,0,0,0,0,0,0,7,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,8,2,3,4,3,3,1,4,3,2,5,4,4,2,3,5,2,3,1,0,5,1,2,3,3,3,2,1,4,5,5,1,4,3,6,2,4,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,3,1,6,6,3,0,1,1,7,0,0,1,3,5,2,0,2,1,6,1,4,5,2,0,7,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +31,1,3,4,7,0,3,0,6,7,0,2,2,4,4,0,3,6,4,0,0,0,3,3,3,0,3,3,2,9,0,4,2,3,9,0,3,4,2,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,4,4,0,2,9,0,0,3,4,3,4,3,3,5,0,0,1,1,3,3,2,0,1,4,3,6,4,4,2,7,2,0,4,1,1,4,9,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,2,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" +27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"Yes" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,7,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,2,1,5,6,2,2,2,3,5,2,4,4,2,1,0,4,2,2,2,2,2,4,1,6,3,6,1,3,5,4,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,2,5,1,2,7,0,2,2,2,6,2,2,5,2,1,0,2,3,3,2,1,1,5,2,5,4,5,4,0,7,2,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,7,0,2,1,4,5,1,4,4,4,1,2,2,2,0,3,1,4,2,1,2,7,5,4,0,6,3,3,2,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,2,0,3,5,2,6,2,2,5,3,0,5,4,0,0,0,3,3,4,0,2,2,5,2,9,0,7,0,2,9,0,4,2,2,2,0,4,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,2,3,2,1,4,0,5,5,1,3,3,3,4,2,4,3,2,1,0,4,1,2,2,2,2,3,1,4,5,5,2,3,5,4,3,2,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,5,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,2,4,5,0,0,0,9,2,3,5,4,2,4,1,3,5,1,0,0,3,0,5,1,2,2,5,0,9,0,4,0,5,7,2,6,2,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,0,5,2,3,5,0,4,3,3,4,6,2,3,5,0,0,0,0,4,4,2,0,3,0,3,6,3,0,6,3,6,3,0,4,0,3,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,1,4,1,5,6,1,3,5,0,4,0,0,9,0,0,0,0,4,5,0,0,0,9,0,5,4,6,1,3,6,3,4,3,2,1,1,3,3,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"Yes" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,2,7,0,0,9,0,0,0,2,7,5,3,2,7,2,0,0,0,0,6,0,2,2,0,0,9,9,0,0,2,7,2,3,2,2,2,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,2,1,4,0,4,3,3,2,3,5,5,4,1,7,2,1,2,0,0,0,2,6,2,2,5,1,1,8,1,3,0,6,6,3,8,1,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,2,0,2,6,4,0,6,5,3,2,1,6,3,7,0,0,2,0,0,3,1,2,4,1,8,1,5,0,4,8,1,3,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,3,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,6,2,5,6,0,6,1,3,5,1,4,3,4,2,1,4,5,3,0,1,3,1,3,2,2,2,4,0,6,3,6,0,3,5,4,5,2,3,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,3,3,1,2,3,2,4,5,1,3,2,4,4,3,5,1,4,1,0,3,2,1,2,3,2,4,0,1,8,3,0,6,6,3,2,1,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,4,5,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,1,4,0,5,8,1,1,1,5,4,1,2,7,2,0,3,1,2,3,1,1,4,2,3,3,6,6,1,3,4,5,7,1,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,7,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,7,0,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,5,3,8,0,6,2,2,6,0,3,3,0,6,0,3,6,0,0,0,2,7,0,0,0,0,9,0,6,3,4,0,5,9,0,5,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,2,1,6,6,2,2,0,2,7,5,4,0,0,0,0,5,3,2,0,4,5,0,0,7,2,5,1,4,7,2,2,2,2,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,4,3,3,0,7,2,2,5,2,3,0,4,5,3,3,3,3,0,0,3,3,2,0,3,3,4,0,5,4,6,2,2,7,2,2,2,6,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,4,6,0,0,0,0,5,4,0,0,6,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,3,0,0,1,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,5,4,1,9,0,0,1,2,6,5,4,1,5,4,0,0,1,0,8,1,1,0,1,1,8,5,4,0,0,9,3,0,3,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,5,1,3,5,0,4,3,2,5,0,3,6,1,0,2,0,4,3,2,1,3,4,1,1,8,5,2,3,6,3,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,2,3,2,3,1,1,1,7,5,1,4,0,0,9,0,5,5,0,0,0,5,0,5,0,4,0,5,0,0,9,5,1,3,7,2,0,5,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,3,1,6,8,1,0,0,4,5,6,3,1,5,0,2,3,1,0,5,2,2,1,0,1,8,6,3,0,1,8,1,1,2,6,0,7,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,3,0,6,7,0,2,0,3,6,2,1,7,0,0,2,0,6,2,1,0,2,4,3,5,4,7,0,2,7,2,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,4,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +13,1,3,3,3,2,6,0,2,6,0,3,3,4,3,1,4,5,2,0,0,5,0,3,1,3,1,2,4,7,2,9,0,0,3,6,4,1,5,1,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,1,5,4,1,4,0,5,2,2,5,5,3,1,4,1,5,0,0,0,6,0,3,0,1,3,5,0,3,6,0,0,9,6,3,9,0,0,0,0,1,1,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,"Yes" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,5,2,3,0,6,3,1,7,1,2,0,3,6,0,3,6,0,0,0,3,4,3,0,2,3,4,2,2,7,7,1,2,6,3,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,0,5,5,1,4,3,2,4,2,5,2,3,0,0,5,2,1,3,3,1,2,1,7,2,7,1,2,5,4,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,3,1,5,6,1,3,0,6,3,4,4,2,6,1,0,2,0,2,4,2,0,3,2,2,7,5,2,2,3,6,0,4,3,2,2,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +34,1,4,3,8,0,7,1,1,7,0,2,0,0,9,0,4,5,1,0,0,4,0,5,0,3,1,5,0,0,9,5,2,2,4,5,0,0,1,8,0,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,7,1,1,1,4,4,1,4,4,1,0,2,4,3,1,3,2,2,4,0,2,7,5,4,0,7,2,4,4,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +37,1,4,3,8,3,5,1,2,8,1,0,0,0,9,0,9,0,0,0,0,4,0,5,0,3,4,3,0,0,9,5,1,3,6,3,0,3,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,6,2,2,0,5,4,3,6,0,0,0,0,4,3,3,5,2,0,2,0,0,9,6,1,2,3,6,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,1,4,0,4,6,0,3,3,5,2,2,3,4,4,0,0,3,2,2,3,1,3,2,3,3,6,7,1,2,3,6,4,0,4,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,2,2,7,0,2,1,4,5,1,4,4,2,0,0,2,3,4,0,2,3,4,1,3,6,7,2,0,6,3,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,3,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +13,1,2,4,3,1,2,2,6,9,0,0,2,4,4,0,4,5,1,0,0,4,4,2,1,2,2,5,1,8,1,8,1,0,5,4,3,3,2,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,5,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,2,1,6,6,0,5,2,2,2,0,7,7,2,0,0,2,7,3,0,0,2,2,3,0,0,4,3,3,9,0,4,0,5,9,0,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,2,2,5,6,0,3,3,2,5,4,5,1,2,4,0,3,2,0,5,2,2,2,0,8,1,5,1,3,3,6,2,2,3,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,3,3,5,3,2,1,5,3,1,6,0,5,4,3,4,2,0,1,0,3,2,4,5,0,0,4,0,4,5,2,0,7,9,0,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,1,4,1,0,6,3,0,6,0,3,6,3,0,3,5,1,0,0,0,3,0,6,1,2,6,1,0,8,1,6,0,3,6,3,5,0,4,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,2,3,2,2,4,2,4,4,0,5,5,1,3,3,4,3,2,0,0,6,0,2,2,4,1,3,0,6,3,7,2,0,4,5,2,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,5,0,4,5,0,4,4,2,4,2,3,5,4,2,0,0,3,0,2,1,4,3,0,0,9,5,3,2,6,3,4,2,3,0,0,3,6,2,4,0,0,6,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,5,3,3,8,0,0,1,6,2,3,0,0,9,0,9,0,2,0,0,3,3,3,0,4,5,0,0,0,9,5,3,2,6,3,2,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,4,7,0,7,0,2,9,0,0,0,4,5,0,5,4,2,0,1,2,6,0,2,2,1,6,0,3,6,7,2,0,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,6,2,1,2,5,2,3,2,3,5,4,3,2,3,0,1,4,2,2,3,3,1,4,0,6,3,5,3,1,4,5,1,3,4,2,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +25,1,2,5,6,0,5,0,4,2,2,5,3,6,0,1,4,5,4,0,0,2,2,2,1,2,4,2,2,9,0,5,0,4,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,3,5,2,2,0,5,4,2,4,3,3,4,3,5,2,3,1,0,4,1,2,3,2,3,2,1,7,2,4,2,4,5,4,0,2,4,3,2,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,2,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,1,2,4,2,4,1,4,1,1,7,7,2,1,3,5,1,5,2,1,2,1,1,2,1,4,3,0,7,2,1,0,8,4,5,7,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,4,10,0,6,0,3,7,0,2,0,5,4,2,2,6,3,0,5,0,2,0,2,1,4,3,0,2,7,6,2,2,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,4,0,0,3,6,0,4,0,0,5,0,3,6,0,0,0,6,0,0,1,0,0,0,0,1,1,0,1,0,0,2,0,1,1,0,0,0,1,0,0,1,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,3,2,0,4,6,1,2,0,4,5,0,0,9,0,0,0,2,0,7,0,0,0,0,9,9,0,7,0,2,3,6,2,2,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,6,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,5,0,4,9,0,0,1,3,6,0,4,5,2,0,2,2,4,0,0,3,3,2,3,1,8,9,0,0,6,3,4,1,5,0,0,4,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,7,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,4,1,4,4,3,5,1,2,1,0,6,1,1,3,2,4,1,1,1,8,5,1,3,5,4,1,4,2,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" +11,1,3,2,3,1,3,1,5,5,3,3,2,4,3,4,5,1,4,0,0,5,0,1,2,3,2,3,1,4,5,7,1,2,5,4,1,3,3,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,2,3,2,2,2,0,5,7,0,2,2,5,3,5,3,1,2,2,0,4,3,1,4,2,2,3,0,0,9,9,0,0,4,5,0,1,4,4,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,5,0,4,7,0,2,2,2,5,1,3,6,0,1,3,2,3,2,2,2,1,6,0,4,5,4,5,0,2,7,2,5,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,4,2,8,0,3,1,5,6,1,3,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,1,3,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,"No" +25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,5,5,2,2,1,5,2,2,5,0,9,0,0,9,0,2,1,1,3,2,2,0,0,0,9,0,9,0,4,1,5,5,4,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,3,1,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,3,2,5,4,0,5,6,2,1,3,4,3,3,0,0,4,1,3,1,1,3,4,2,7,2,4,0,5,2,7,6,1,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,0,3,0,3,4,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,1,2,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +4,1,2,3,1,2,3,0,5,2,1,6,5,2,2,3,4,3,2,0,0,5,1,2,2,4,0,4,0,5,4,6,1,2,5,4,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,1,2,4,4,8,1,1,1,6,3,2,7,1,2,0,0,7,1,1,2,5,2,1,0,6,3,8,1,1,7,2,1,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,3,0,0,"Yes" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,5,2,2,2,0,5,7,0,2,2,5,2,3,5,2,2,1,1,3,2,2,3,2,3,2,1,2,7,9,0,0,4,5,2,2,3,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,2,3,2,3,6,0,3,3,1,5,1,5,4,2,1,1,5,2,1,2,3,2,4,0,1,8,8,1,1,5,4,1,5,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +11,1,3,2,3,2,6,1,2,6,2,2,1,4,4,1,4,4,4,0,1,2,2,2,2,2,3,3,1,1,8,6,2,1,4,5,2,3,4,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,2,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,7,2,0,5,0,4,2,4,3,0,4,5,0,0,2,4,4,0,0,2,5,3,0,2,7,5,0,4,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,0,4,2,4,5,1,3,2,5,3,2,4,4,2,1,0,1,2,5,2,1,4,3,1,5,4,7,1,2,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,2,2,2,2,0,7,0,2,6,1,3,3,5,2,2,7,0,2,0,0,7,0,0,2,7,1,0,0,0,9,7,2,1,6,3,1,3,3,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,3,4,0,2,7,0,0,6,3,0,1,0,2,4,2,3,0,9,4,3,3,4,5,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,6,0,6,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,1,1,9,0,6,0,3,0,2,7,7,2,0,9,0,0,2,0,0,2,2,4,0,3,6,0,0,9,0,0,0,9,2,7,9,0,0,0,0,1,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,0,4,8,1,1,0,4,5,1,5,3,3,0,0,4,3,1,1,2,4,3,0,2,7,6,3,0,5,4,2,3,5,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,1,4,7,1,5,0,4,6,0,3,6,0,3,0,4,5,2,0,0,3,3,3,3,0,0,0,6,6,3,4,2,4,7,2,3,3,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,4,1,4,4,2,3,3,5,2,2,5,2,2,1,1,6,1,1,2,3,2,3,0,8,1,6,1,3,7,2,3,5,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,2,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,5,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,2,4,4,2,1,2,5,3,1,6,4,4,1,4,4,2,4,0,0,1,2,3,2,2,4,2,2,2,7,3,0,6,3,6,6,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,6,3,0,9,0,0,1,5,3,2,4,4,3,0,2,3,2,1,3,2,2,3,0,1,8,4,4,2,4,5,2,4,1,3,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,2,2,3,8,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,0,5,7,0,2,2,5,3,1,6,2,2,0,0,6,0,2,1,1,6,2,0,8,1,5,1,4,6,3,1,1,8,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,2,3,3,1,4,0,2,4,9,0,0,0,5,4,7,2,0,8,0,0,0,0,1,9,0,0,0,0,0,9,5,1,3,5,4,0,0,4,4,2,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" +9,1,2,3,3,0,4,0,5,3,0,6,3,0,6,3,2,4,3,0,0,3,2,2,0,3,5,2,0,9,0,7,0,2,7,2,6,0,3,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,3,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,2,2,0,4,0,5,5,2,3,3,3,4,6,3,0,6,0,0,3,0,0,6,2,2,0,0,3,6,7,0,2,5,4,0,4,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,7,1,1,7,0,2,0,3,6,2,3,4,4,0,0,2,0,4,2,1,4,4,0,0,9,5,2,2,4,5,0,3,3,4,0,7,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,0,5,7,0,2,3,3,4,3,3,4,5,0,0,3,0,2,1,3,3,2,1,1,8,6,1,2,7,2,2,3,4,1,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,3,3,2,3,2,1,1,6,6,2,2,3,2,4,2,6,2,2,1,0,4,1,4,1,2,2,5,0,8,1,6,1,2,5,4,1,2,3,4,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,1,2,2,5,3,2,1,5,2,2,6,5,3,2,1,6,3,3,0,0,4,1,3,2,3,2,3,1,9,0,5,1,4,6,3,3,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,2,0,5,9,0,0,0,4,5,5,4,0,7,0,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,3,6,0,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +33,1,1,2,8,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,1,4,1,4,7,0,2,2,1,6,1,4,5,1,1,1,2,5,1,1,1,2,5,0,4,5,6,2,1,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,2,3,3,5,0,1,2,6,7,0,2,0,2,7,1,5,3,2,0,0,5,0,3,1,4,0,4,0,4,5,9,0,0,7,2,0,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +16,1,2,4,4,2,2,0,6,5,0,4,4,2,3,3,4,3,1,0,0,4,2,3,1,3,2,2,2,3,6,4,2,4,7,2,5,0,4,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,5,2,3,0,5,3,2,9,0,0,0,0,9,0,4,5,1,1,0,5,2,2,0,0,0,4,5,0,9,6,0,3,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,0,5,2,3,6,2,2,2,4,4,1,4,5,2,0,2,2,3,2,2,1,2,4,1,5,4,6,1,2,6,3,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,2,3,0,5,7,2,0,0,5,4,1,5,4,1,0,0,4,1,4,1,3,2,5,0,8,1,9,0,0,6,3,4,1,4,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,6,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,5,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,0,0,9,9,0,0,0,3,6,0,2,7,3,0,0,2,5,0,0,2,3,5,0,4,5,7,2,0,5,4,0,0,9,0,0,5,3,0,0,0,6,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,2,1,0,4,0,5,5,2,2,0,6,3,0,3,6,4,0,2,2,3,0,0,0,0,5,4,3,6,6,2,2,6,3,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,3,2,0,4,9,0,0,0,3,6,3,6,0,0,0,0,9,0,0,0,7,3,0,0,0,9,9,0,0,4,5,0,4,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,2,4,3,0,2,7,0,0,0,2,1,7,0,0,2,5,3,5,4,7,0,2,5,4,5,2,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,2,0,0,5,0,0,0,0,0,3,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +18,1,2,2,4,2,0,0,7,0,2,7,5,3,2,5,4,0,3,1,0,2,2,3,2,1,5,2,0,5,4,2,2,6,3,6,6,1,2,1,1,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,4,1,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,2,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,4,6,1,5,2,2,4,2,4,9,0,0,0,9,0,4,0,0,5,0,0,0,0,5,4,0,9,0,7,2,0,4,5,0,5,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,2,6,1,1,6,0,3,2,6,1,0,6,3,0,0,0,4,5,0,0,2,2,6,0,2,7,4,1,4,6,3,3,2,2,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +27,1,1,6,6,0,5,0,4,3,1,5,5,4,0,3,4,2,4,0,0,4,1,1,3,1,5,1,1,9,0,7,0,2,9,0,2,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,4,2,3,3,1,4,6,2,2,0,5,4,0,9,0,0,0,0,4,0,5,0,9,0,0,0,0,9,7,1,2,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,1,5,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,1,5,0,9,0,6,2,1,5,4,8,0,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,4,0,6,6,0,0,0,0,0,0,2,0,0,0,6,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,2,3,4,6,3,0,0,6,3,0,3,6,0,0,0,3,3,4,0,2,0,7,0,6,3,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,6,0,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,0,3,0,6,7,0,2,1,3,5,0,4,5,2,0,2,2,3,2,1,1,3,4,1,6,3,7,2,0,7,2,3,6,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" +39,1,3,4,9,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,3,5,1,2,0,7,4,1,4,4,2,3,4,3,3,2,0,0,3,1,4,3,1,2,3,1,6,3,5,0,4,6,3,3,3,3,1,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,2,3,4,7,1,2,3,1,5,5,3,2,2,0,0,4,2,2,1,4,1,3,0,9,0,5,1,4,4,5,3,3,2,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,2,1,6,4,2,4,6,3,1,4,4,2,2,1,0,3,2,2,2,2,3,3,1,8,1,6,1,2,4,5,5,2,2,1,1,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,3,0,6,6,0,0,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,2,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,6,0,3,7,0,2,1,6,3,3,5,1,0,0,0,5,4,1,0,3,0,6,1,1,8,6,3,0,5,4,6,1,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +25,2,2,4,6,0,4,0,5,5,0,4,4,4,2,2,6,2,0,0,0,6,3,0,0,5,2,2,0,2,7,5,0,4,7,2,0,4,5,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,2,4,2,4,5,0,0,5,0,4,4,3,2,0,6,3,6,0,0,0,0,3,4,0,0,2,3,0,9,9,0,0,4,5,4,4,0,3,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,1,2,7,0,3,2,5,5,2,3,7,2,0,0,4,5,1,0,0,4,3,2,0,0,0,5,4,9,0,8,0,1,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,3,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,4,2,0,2,0,7,9,0,0,0,5,4,3,5,1,5,0,1,3,1,0,5,3,1,1,0,5,4,9,0,0,5,4,1,5,4,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,7,0,0,0,3,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,5,3,2,2,4,0,4,4,2,4,0,1,8,4,5,0,4,0,0,0,1,4,4,4,1,1,0,0,9,5,0,4,7,2,4,2,2,3,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,3,2,1,5,8,0,1,2,1,7,1,5,3,7,0,0,1,1,1,3,3,3,2,1,6,3,2,3,5,8,1,1,1,8,0,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,9,0,0,3,5,2,0,6,3,0,0,0,6,2,2,1,2,2,2,3,4,5,9,0,0,7,2,3,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,4,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +27,1,1,6,6,1,5,2,3,5,1,3,5,4,1,4,5,1,5,0,0,4,0,0,5,4,1,0,1,8,1,6,1,3,7,2,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,8,0,1,2,5,3,3,3,4,5,1,0,2,1,1,3,2,2,3,1,3,6,6,3,1,3,6,2,1,4,2,2,7,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,3,5,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,1,5,1,3,7,1,2,2,3,5,1,5,3,3,0,3,1,2,2,3,2,3,3,1,3,6,5,3,1,4,5,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,6,0,0,0,1,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,0,3,6,0,3,0,7,2,0,7,2,0,0,0,5,2,3,0,2,3,5,0,0,9,5,2,2,5,4,0,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" diff --git a/Data/Carseats.csv b/Data/Carseats.csv index 701bd67..242c6d2 100644 --- a/Data/Carseats.csv +++ b/Data/Carseats.csv @@ -1,401 +1,401 @@ -"","Sales","CompPrice","Income","Advertising","Population","Price","ShelveLoc","Age","Education","Urban","US" -"1",9.5,138,73,11,276,120,"Bad",42,17,"Yes","Yes" -"2",11.22,111,48,16,260,83,"Good",65,10,"Yes","Yes" -"3",10.06,113,35,10,269,80,"Medium",59,12,"Yes","Yes" -"4",7.4,117,100,4,466,97,"Medium",55,14,"Yes","Yes" -"5",4.15,141,64,3,340,128,"Bad",38,13,"Yes","No" -"6",10.81,124,113,13,501,72,"Bad",78,16,"No","Yes" -"7",6.63,115,105,0,45,108,"Medium",71,15,"Yes","No" -"8",11.85,136,81,15,425,120,"Good",67,10,"Yes","Yes" -"9",6.54,132,110,0,108,124,"Medium",76,10,"No","No" -"10",4.69,132,113,0,131,124,"Medium",76,17,"No","Yes" -"11",9.01,121,78,9,150,100,"Bad",26,10,"No","Yes" -"12",11.96,117,94,4,503,94,"Good",50,13,"Yes","Yes" -"13",3.98,122,35,2,393,136,"Medium",62,18,"Yes","No" -"14",10.96,115,28,11,29,86,"Good",53,18,"Yes","Yes" -"15",11.17,107,117,11,148,118,"Good",52,18,"Yes","Yes" -"16",8.71,149,95,5,400,144,"Medium",76,18,"No","No" -"17",7.58,118,32,0,284,110,"Good",63,13,"Yes","No" -"18",12.29,147,74,13,251,131,"Good",52,10,"Yes","Yes" -"19",13.91,110,110,0,408,68,"Good",46,17,"No","Yes" -"20",8.73,129,76,16,58,121,"Medium",69,12,"Yes","Yes" -"21",6.41,125,90,2,367,131,"Medium",35,18,"Yes","Yes" -"22",12.13,134,29,12,239,109,"Good",62,18,"No","Yes" -"23",5.08,128,46,6,497,138,"Medium",42,13,"Yes","No" -"24",5.87,121,31,0,292,109,"Medium",79,10,"Yes","No" -"25",10.14,145,119,16,294,113,"Bad",42,12,"Yes","Yes" -"26",14.9,139,32,0,176,82,"Good",54,11,"No","No" -"27",8.33,107,115,11,496,131,"Good",50,11,"No","Yes" -"28",5.27,98,118,0,19,107,"Medium",64,17,"Yes","No" -"29",2.99,103,74,0,359,97,"Bad",55,11,"Yes","Yes" -"30",7.81,104,99,15,226,102,"Bad",58,17,"Yes","Yes" -"31",13.55,125,94,0,447,89,"Good",30,12,"Yes","No" -"32",8.25,136,58,16,241,131,"Medium",44,18,"Yes","Yes" -"33",6.2,107,32,12,236,137,"Good",64,10,"No","Yes" -"34",8.77,114,38,13,317,128,"Good",50,16,"Yes","Yes" -"35",2.67,115,54,0,406,128,"Medium",42,17,"Yes","Yes" -"36",11.07,131,84,11,29,96,"Medium",44,17,"No","Yes" -"37",8.89,122,76,0,270,100,"Good",60,18,"No","No" -"38",4.95,121,41,5,412,110,"Medium",54,10,"Yes","Yes" -"39",6.59,109,73,0,454,102,"Medium",65,15,"Yes","No" -"40",3.24,130,60,0,144,138,"Bad",38,10,"No","No" -"41",2.07,119,98,0,18,126,"Bad",73,17,"No","No" -"42",7.96,157,53,0,403,124,"Bad",58,16,"Yes","No" -"43",10.43,77,69,0,25,24,"Medium",50,18,"Yes","No" -"44",4.12,123,42,11,16,134,"Medium",59,13,"Yes","Yes" -"45",4.16,85,79,6,325,95,"Medium",69,13,"Yes","Yes" -"46",4.56,141,63,0,168,135,"Bad",44,12,"Yes","Yes" -"47",12.44,127,90,14,16,70,"Medium",48,15,"No","Yes" -"48",4.38,126,98,0,173,108,"Bad",55,16,"Yes","No" -"49",3.91,116,52,0,349,98,"Bad",69,18,"Yes","No" -"50",10.61,157,93,0,51,149,"Good",32,17,"Yes","No" -"51",1.42,99,32,18,341,108,"Bad",80,16,"Yes","Yes" -"52",4.42,121,90,0,150,108,"Bad",75,16,"Yes","No" -"53",7.91,153,40,3,112,129,"Bad",39,18,"Yes","Yes" -"54",6.92,109,64,13,39,119,"Medium",61,17,"Yes","Yes" -"55",4.9,134,103,13,25,144,"Medium",76,17,"No","Yes" -"56",6.85,143,81,5,60,154,"Medium",61,18,"Yes","Yes" -"57",11.91,133,82,0,54,84,"Medium",50,17,"Yes","No" -"58",0.91,93,91,0,22,117,"Bad",75,11,"Yes","No" -"59",5.42,103,93,15,188,103,"Bad",74,16,"Yes","Yes" -"60",5.21,118,71,4,148,114,"Medium",80,13,"Yes","No" -"61",8.32,122,102,19,469,123,"Bad",29,13,"Yes","Yes" -"62",7.32,105,32,0,358,107,"Medium",26,13,"No","No" -"63",1.82,139,45,0,146,133,"Bad",77,17,"Yes","Yes" -"64",8.47,119,88,10,170,101,"Medium",61,13,"Yes","Yes" -"65",7.8,100,67,12,184,104,"Medium",32,16,"No","Yes" -"66",4.9,122,26,0,197,128,"Medium",55,13,"No","No" -"67",8.85,127,92,0,508,91,"Medium",56,18,"Yes","No" -"68",9.01,126,61,14,152,115,"Medium",47,16,"Yes","Yes" -"69",13.39,149,69,20,366,134,"Good",60,13,"Yes","Yes" -"70",7.99,127,59,0,339,99,"Medium",65,12,"Yes","No" -"71",9.46,89,81,15,237,99,"Good",74,12,"Yes","Yes" -"72",6.5,148,51,16,148,150,"Medium",58,17,"No","Yes" -"73",5.52,115,45,0,432,116,"Medium",25,15,"Yes","No" -"74",12.61,118,90,10,54,104,"Good",31,11,"No","Yes" -"75",6.2,150,68,5,125,136,"Medium",64,13,"No","Yes" -"76",8.55,88,111,23,480,92,"Bad",36,16,"No","Yes" -"77",10.64,102,87,10,346,70,"Medium",64,15,"Yes","Yes" -"78",7.7,118,71,12,44,89,"Medium",67,18,"No","Yes" -"79",4.43,134,48,1,139,145,"Medium",65,12,"Yes","Yes" -"80",9.14,134,67,0,286,90,"Bad",41,13,"Yes","No" -"81",8.01,113,100,16,353,79,"Bad",68,11,"Yes","Yes" -"82",7.52,116,72,0,237,128,"Good",70,13,"Yes","No" -"83",11.62,151,83,4,325,139,"Good",28,17,"Yes","Yes" -"84",4.42,109,36,7,468,94,"Bad",56,11,"Yes","Yes" -"85",2.23,111,25,0,52,121,"Bad",43,18,"No","No" -"86",8.47,125,103,0,304,112,"Medium",49,13,"No","No" -"87",8.7,150,84,9,432,134,"Medium",64,15,"Yes","No" -"88",11.7,131,67,7,272,126,"Good",54,16,"No","Yes" -"89",6.56,117,42,7,144,111,"Medium",62,10,"Yes","Yes" -"90",7.95,128,66,3,493,119,"Medium",45,16,"No","No" -"91",5.33,115,22,0,491,103,"Medium",64,11,"No","No" -"92",4.81,97,46,11,267,107,"Medium",80,15,"Yes","Yes" -"93",4.53,114,113,0,97,125,"Medium",29,12,"Yes","No" -"94",8.86,145,30,0,67,104,"Medium",55,17,"Yes","No" -"95",8.39,115,97,5,134,84,"Bad",55,11,"Yes","Yes" -"96",5.58,134,25,10,237,148,"Medium",59,13,"Yes","Yes" -"97",9.48,147,42,10,407,132,"Good",73,16,"No","Yes" -"98",7.45,161,82,5,287,129,"Bad",33,16,"Yes","Yes" -"99",12.49,122,77,24,382,127,"Good",36,16,"No","Yes" -"100",4.88,121,47,3,220,107,"Bad",56,16,"No","Yes" -"101",4.11,113,69,11,94,106,"Medium",76,12,"No","Yes" -"102",6.2,128,93,0,89,118,"Medium",34,18,"Yes","No" -"103",5.3,113,22,0,57,97,"Medium",65,16,"No","No" -"104",5.07,123,91,0,334,96,"Bad",78,17,"Yes","Yes" -"105",4.62,121,96,0,472,138,"Medium",51,12,"Yes","No" -"106",5.55,104,100,8,398,97,"Medium",61,11,"Yes","Yes" -"107",0.16,102,33,0,217,139,"Medium",70,18,"No","No" -"108",8.55,134,107,0,104,108,"Medium",60,12,"Yes","No" -"109",3.47,107,79,2,488,103,"Bad",65,16,"Yes","No" -"110",8.98,115,65,0,217,90,"Medium",60,17,"No","No" -"111",9,128,62,7,125,116,"Medium",43,14,"Yes","Yes" -"112",6.62,132,118,12,272,151,"Medium",43,14,"Yes","Yes" -"113",6.67,116,99,5,298,125,"Good",62,12,"Yes","Yes" -"114",6.01,131,29,11,335,127,"Bad",33,12,"Yes","Yes" -"115",9.31,122,87,9,17,106,"Medium",65,13,"Yes","Yes" -"116",8.54,139,35,0,95,129,"Medium",42,13,"Yes","No" -"117",5.08,135,75,0,202,128,"Medium",80,10,"No","No" -"118",8.8,145,53,0,507,119,"Medium",41,12,"Yes","No" -"119",7.57,112,88,2,243,99,"Medium",62,11,"Yes","Yes" -"120",7.37,130,94,8,137,128,"Medium",64,12,"Yes","Yes" -"121",6.87,128,105,11,249,131,"Medium",63,13,"Yes","Yes" -"122",11.67,125,89,10,380,87,"Bad",28,10,"Yes","Yes" -"123",6.88,119,100,5,45,108,"Medium",75,10,"Yes","Yes" -"124",8.19,127,103,0,125,155,"Good",29,15,"No","Yes" -"125",8.87,131,113,0,181,120,"Good",63,14,"Yes","No" -"126",9.34,89,78,0,181,49,"Medium",43,15,"No","No" -"127",11.27,153,68,2,60,133,"Good",59,16,"Yes","Yes" -"128",6.52,125,48,3,192,116,"Medium",51,14,"Yes","Yes" -"129",4.96,133,100,3,350,126,"Bad",55,13,"Yes","Yes" -"130",4.47,143,120,7,279,147,"Bad",40,10,"No","Yes" -"131",8.41,94,84,13,497,77,"Medium",51,12,"Yes","Yes" -"132",6.5,108,69,3,208,94,"Medium",77,16,"Yes","No" -"133",9.54,125,87,9,232,136,"Good",72,10,"Yes","Yes" -"134",7.62,132,98,2,265,97,"Bad",62,12,"Yes","Yes" -"135",3.67,132,31,0,327,131,"Medium",76,16,"Yes","No" -"136",6.44,96,94,14,384,120,"Medium",36,18,"No","Yes" -"137",5.17,131,75,0,10,120,"Bad",31,18,"No","No" -"138",6.52,128,42,0,436,118,"Medium",80,11,"Yes","No" -"139",10.27,125,103,12,371,109,"Medium",44,10,"Yes","Yes" -"140",12.3,146,62,10,310,94,"Medium",30,13,"No","Yes" -"141",6.03,133,60,10,277,129,"Medium",45,18,"Yes","Yes" -"142",6.53,140,42,0,331,131,"Bad",28,15,"Yes","No" -"143",7.44,124,84,0,300,104,"Medium",77,15,"Yes","No" -"144",0.53,122,88,7,36,159,"Bad",28,17,"Yes","Yes" -"145",9.09,132,68,0,264,123,"Good",34,11,"No","No" -"146",8.77,144,63,11,27,117,"Medium",47,17,"Yes","Yes" -"147",3.9,114,83,0,412,131,"Bad",39,14,"Yes","No" -"148",10.51,140,54,9,402,119,"Good",41,16,"No","Yes" -"149",7.56,110,119,0,384,97,"Medium",72,14,"No","Yes" -"150",11.48,121,120,13,140,87,"Medium",56,11,"Yes","Yes" -"151",10.49,122,84,8,176,114,"Good",57,10,"No","Yes" -"152",10.77,111,58,17,407,103,"Good",75,17,"No","Yes" -"153",7.64,128,78,0,341,128,"Good",45,13,"No","No" -"154",5.93,150,36,7,488,150,"Medium",25,17,"No","Yes" -"155",6.89,129,69,10,289,110,"Medium",50,16,"No","Yes" -"156",7.71,98,72,0,59,69,"Medium",65,16,"Yes","No" -"157",7.49,146,34,0,220,157,"Good",51,16,"Yes","No" -"158",10.21,121,58,8,249,90,"Medium",48,13,"No","Yes" -"159",12.53,142,90,1,189,112,"Good",39,10,"No","Yes" -"160",9.32,119,60,0,372,70,"Bad",30,18,"No","No" -"161",4.67,111,28,0,486,111,"Medium",29,12,"No","No" -"162",2.93,143,21,5,81,160,"Medium",67,12,"No","Yes" -"163",3.63,122,74,0,424,149,"Medium",51,13,"Yes","No" -"164",5.68,130,64,0,40,106,"Bad",39,17,"No","No" -"165",8.22,148,64,0,58,141,"Medium",27,13,"No","Yes" -"166",0.37,147,58,7,100,191,"Bad",27,15,"Yes","Yes" -"167",6.71,119,67,17,151,137,"Medium",55,11,"Yes","Yes" -"168",6.71,106,73,0,216,93,"Medium",60,13,"Yes","No" -"169",7.3,129,89,0,425,117,"Medium",45,10,"Yes","No" -"170",11.48,104,41,15,492,77,"Good",73,18,"Yes","Yes" -"171",8.01,128,39,12,356,118,"Medium",71,10,"Yes","Yes" -"172",12.49,93,106,12,416,55,"Medium",75,15,"Yes","Yes" -"173",9.03,104,102,13,123,110,"Good",35,16,"Yes","Yes" -"174",6.38,135,91,5,207,128,"Medium",66,18,"Yes","Yes" -"175",0,139,24,0,358,185,"Medium",79,15,"No","No" -"176",7.54,115,89,0,38,122,"Medium",25,12,"Yes","No" -"177",5.61,138,107,9,480,154,"Medium",47,11,"No","Yes" -"178",10.48,138,72,0,148,94,"Medium",27,17,"Yes","Yes" -"179",10.66,104,71,14,89,81,"Medium",25,14,"No","Yes" -"180",7.78,144,25,3,70,116,"Medium",77,18,"Yes","Yes" -"181",4.94,137,112,15,434,149,"Bad",66,13,"Yes","Yes" -"182",7.43,121,83,0,79,91,"Medium",68,11,"Yes","No" -"183",4.74,137,60,4,230,140,"Bad",25,13,"Yes","No" -"184",5.32,118,74,6,426,102,"Medium",80,18,"Yes","Yes" -"185",9.95,132,33,7,35,97,"Medium",60,11,"No","Yes" -"186",10.07,130,100,11,449,107,"Medium",64,10,"Yes","Yes" -"187",8.68,120,51,0,93,86,"Medium",46,17,"No","No" -"188",6.03,117,32,0,142,96,"Bad",62,17,"Yes","No" -"189",8.07,116,37,0,426,90,"Medium",76,15,"Yes","No" -"190",12.11,118,117,18,509,104,"Medium",26,15,"No","Yes" -"191",8.79,130,37,13,297,101,"Medium",37,13,"No","Yes" -"192",6.67,156,42,13,170,173,"Good",74,14,"Yes","Yes" -"193",7.56,108,26,0,408,93,"Medium",56,14,"No","No" -"194",13.28,139,70,7,71,96,"Good",61,10,"Yes","Yes" -"195",7.23,112,98,18,481,128,"Medium",45,11,"Yes","Yes" -"196",4.19,117,93,4,420,112,"Bad",66,11,"Yes","Yes" -"197",4.1,130,28,6,410,133,"Bad",72,16,"Yes","Yes" -"198",2.52,124,61,0,333,138,"Medium",76,16,"Yes","No" -"199",3.62,112,80,5,500,128,"Medium",69,10,"Yes","Yes" -"200",6.42,122,88,5,335,126,"Medium",64,14,"Yes","Yes" -"201",5.56,144,92,0,349,146,"Medium",62,12,"No","No" -"202",5.94,138,83,0,139,134,"Medium",54,18,"Yes","No" -"203",4.1,121,78,4,413,130,"Bad",46,10,"No","Yes" -"204",2.05,131,82,0,132,157,"Bad",25,14,"Yes","No" -"205",8.74,155,80,0,237,124,"Medium",37,14,"Yes","No" -"206",5.68,113,22,1,317,132,"Medium",28,12,"Yes","No" -"207",4.97,162,67,0,27,160,"Medium",77,17,"Yes","Yes" -"208",8.19,111,105,0,466,97,"Bad",61,10,"No","No" -"209",7.78,86,54,0,497,64,"Bad",33,12,"Yes","No" -"210",3.02,98,21,11,326,90,"Bad",76,11,"No","Yes" -"211",4.36,125,41,2,357,123,"Bad",47,14,"No","Yes" -"212",9.39,117,118,14,445,120,"Medium",32,15,"Yes","Yes" -"213",12.04,145,69,19,501,105,"Medium",45,11,"Yes","Yes" -"214",8.23,149,84,5,220,139,"Medium",33,10,"Yes","Yes" -"215",4.83,115,115,3,48,107,"Medium",73,18,"Yes","Yes" -"216",2.34,116,83,15,170,144,"Bad",71,11,"Yes","Yes" -"217",5.73,141,33,0,243,144,"Medium",34,17,"Yes","No" -"218",4.34,106,44,0,481,111,"Medium",70,14,"No","No" -"219",9.7,138,61,12,156,120,"Medium",25,14,"Yes","Yes" -"220",10.62,116,79,19,359,116,"Good",58,17,"Yes","Yes" -"221",10.59,131,120,15,262,124,"Medium",30,10,"Yes","Yes" -"222",6.43,124,44,0,125,107,"Medium",80,11,"Yes","No" -"223",7.49,136,119,6,178,145,"Medium",35,13,"Yes","Yes" -"224",3.45,110,45,9,276,125,"Medium",62,14,"Yes","Yes" -"225",4.1,134,82,0,464,141,"Medium",48,13,"No","No" -"226",6.68,107,25,0,412,82,"Bad",36,14,"Yes","No" -"227",7.8,119,33,0,245,122,"Good",56,14,"Yes","No" -"228",8.69,113,64,10,68,101,"Medium",57,16,"Yes","Yes" -"229",5.4,149,73,13,381,163,"Bad",26,11,"No","Yes" -"230",11.19,98,104,0,404,72,"Medium",27,18,"No","No" -"231",5.16,115,60,0,119,114,"Bad",38,14,"No","No" -"232",8.09,132,69,0,123,122,"Medium",27,11,"No","No" -"233",13.14,137,80,10,24,105,"Good",61,15,"Yes","Yes" -"234",8.65,123,76,18,218,120,"Medium",29,14,"No","Yes" -"235",9.43,115,62,11,289,129,"Good",56,16,"No","Yes" -"236",5.53,126,32,8,95,132,"Medium",50,17,"Yes","Yes" -"237",9.32,141,34,16,361,108,"Medium",69,10,"Yes","Yes" -"238",9.62,151,28,8,499,135,"Medium",48,10,"Yes","Yes" -"239",7.36,121,24,0,200,133,"Good",73,13,"Yes","No" -"240",3.89,123,105,0,149,118,"Bad",62,16,"Yes","Yes" -"241",10.31,159,80,0,362,121,"Medium",26,18,"Yes","No" -"242",12.01,136,63,0,160,94,"Medium",38,12,"Yes","No" -"243",4.68,124,46,0,199,135,"Medium",52,14,"No","No" -"244",7.82,124,25,13,87,110,"Medium",57,10,"Yes","Yes" -"245",8.78,130,30,0,391,100,"Medium",26,18,"Yes","No" -"246",10,114,43,0,199,88,"Good",57,10,"No","Yes" -"247",6.9,120,56,20,266,90,"Bad",78,18,"Yes","Yes" -"248",5.04,123,114,0,298,151,"Bad",34,16,"Yes","No" -"249",5.36,111,52,0,12,101,"Medium",61,11,"Yes","Yes" -"250",5.05,125,67,0,86,117,"Bad",65,11,"Yes","No" -"251",9.16,137,105,10,435,156,"Good",72,14,"Yes","Yes" -"252",3.72,139,111,5,310,132,"Bad",62,13,"Yes","Yes" -"253",8.31,133,97,0,70,117,"Medium",32,16,"Yes","No" -"254",5.64,124,24,5,288,122,"Medium",57,12,"No","Yes" -"255",9.58,108,104,23,353,129,"Good",37,17,"Yes","Yes" -"256",7.71,123,81,8,198,81,"Bad",80,15,"Yes","Yes" -"257",4.2,147,40,0,277,144,"Medium",73,10,"Yes","No" -"258",8.67,125,62,14,477,112,"Medium",80,13,"Yes","Yes" -"259",3.47,108,38,0,251,81,"Bad",72,14,"No","No" -"260",5.12,123,36,10,467,100,"Bad",74,11,"No","Yes" -"261",7.67,129,117,8,400,101,"Bad",36,10,"Yes","Yes" -"262",5.71,121,42,4,188,118,"Medium",54,15,"Yes","Yes" -"263",6.37,120,77,15,86,132,"Medium",48,18,"Yes","Yes" -"264",7.77,116,26,6,434,115,"Medium",25,17,"Yes","Yes" -"265",6.95,128,29,5,324,159,"Good",31,15,"Yes","Yes" -"266",5.31,130,35,10,402,129,"Bad",39,17,"Yes","Yes" -"267",9.1,128,93,12,343,112,"Good",73,17,"No","Yes" -"268",5.83,134,82,7,473,112,"Bad",51,12,"No","Yes" -"269",6.53,123,57,0,66,105,"Medium",39,11,"Yes","No" -"270",5.01,159,69,0,438,166,"Medium",46,17,"Yes","No" -"271",11.99,119,26,0,284,89,"Good",26,10,"Yes","No" -"272",4.55,111,56,0,504,110,"Medium",62,16,"Yes","No" -"273",12.98,113,33,0,14,63,"Good",38,12,"Yes","No" -"274",10.04,116,106,8,244,86,"Medium",58,12,"Yes","Yes" -"275",7.22,135,93,2,67,119,"Medium",34,11,"Yes","Yes" -"276",6.67,107,119,11,210,132,"Medium",53,11,"Yes","Yes" -"277",6.93,135,69,14,296,130,"Medium",73,15,"Yes","Yes" -"278",7.8,136,48,12,326,125,"Medium",36,16,"Yes","Yes" -"279",7.22,114,113,2,129,151,"Good",40,15,"No","Yes" -"280",3.42,141,57,13,376,158,"Medium",64,18,"Yes","Yes" -"281",2.86,121,86,10,496,145,"Bad",51,10,"Yes","Yes" -"282",11.19,122,69,7,303,105,"Good",45,16,"No","Yes" -"283",7.74,150,96,0,80,154,"Good",61,11,"Yes","No" -"284",5.36,135,110,0,112,117,"Medium",80,16,"No","No" -"285",6.97,106,46,11,414,96,"Bad",79,17,"No","No" -"286",7.6,146,26,11,261,131,"Medium",39,10,"Yes","Yes" -"287",7.53,117,118,11,429,113,"Medium",67,18,"No","Yes" -"288",6.88,95,44,4,208,72,"Bad",44,17,"Yes","Yes" -"289",6.98,116,40,0,74,97,"Medium",76,15,"No","No" -"290",8.75,143,77,25,448,156,"Medium",43,17,"Yes","Yes" -"291",9.49,107,111,14,400,103,"Medium",41,11,"No","Yes" -"292",6.64,118,70,0,106,89,"Bad",39,17,"Yes","No" -"293",11.82,113,66,16,322,74,"Good",76,15,"Yes","Yes" -"294",11.28,123,84,0,74,89,"Good",59,10,"Yes","No" -"295",12.66,148,76,3,126,99,"Good",60,11,"Yes","Yes" -"296",4.21,118,35,14,502,137,"Medium",79,10,"No","Yes" -"297",8.21,127,44,13,160,123,"Good",63,18,"Yes","Yes" -"298",3.07,118,83,13,276,104,"Bad",75,10,"Yes","Yes" -"299",10.98,148,63,0,312,130,"Good",63,15,"Yes","No" -"300",9.4,135,40,17,497,96,"Medium",54,17,"No","Yes" -"301",8.57,116,78,1,158,99,"Medium",45,11,"Yes","Yes" -"302",7.41,99,93,0,198,87,"Medium",57,16,"Yes","Yes" -"303",5.28,108,77,13,388,110,"Bad",74,14,"Yes","Yes" -"304",10.01,133,52,16,290,99,"Medium",43,11,"Yes","Yes" -"305",11.93,123,98,12,408,134,"Good",29,10,"Yes","Yes" -"306",8.03,115,29,26,394,132,"Medium",33,13,"Yes","Yes" -"307",4.78,131,32,1,85,133,"Medium",48,12,"Yes","Yes" -"308",5.9,138,92,0,13,120,"Bad",61,12,"Yes","No" -"309",9.24,126,80,19,436,126,"Medium",52,10,"Yes","Yes" -"310",11.18,131,111,13,33,80,"Bad",68,18,"Yes","Yes" -"311",9.53,175,65,29,419,166,"Medium",53,12,"Yes","Yes" -"312",6.15,146,68,12,328,132,"Bad",51,14,"Yes","Yes" -"313",6.8,137,117,5,337,135,"Bad",38,10,"Yes","Yes" -"314",9.33,103,81,3,491,54,"Medium",66,13,"Yes","No" -"315",7.72,133,33,10,333,129,"Good",71,14,"Yes","Yes" -"316",6.39,131,21,8,220,171,"Good",29,14,"Yes","Yes" -"317",15.63,122,36,5,369,72,"Good",35,10,"Yes","Yes" -"318",6.41,142,30,0,472,136,"Good",80,15,"No","No" -"319",10.08,116,72,10,456,130,"Good",41,14,"No","Yes" -"320",6.97,127,45,19,459,129,"Medium",57,11,"No","Yes" -"321",5.86,136,70,12,171,152,"Medium",44,18,"Yes","Yes" -"322",7.52,123,39,5,499,98,"Medium",34,15,"Yes","No" -"323",9.16,140,50,10,300,139,"Good",60,15,"Yes","Yes" -"324",10.36,107,105,18,428,103,"Medium",34,12,"Yes","Yes" -"325",2.66,136,65,4,133,150,"Bad",53,13,"Yes","Yes" -"326",11.7,144,69,11,131,104,"Medium",47,11,"Yes","Yes" -"327",4.69,133,30,0,152,122,"Medium",53,17,"Yes","No" -"328",6.23,112,38,17,316,104,"Medium",80,16,"Yes","Yes" -"329",3.15,117,66,1,65,111,"Bad",55,11,"Yes","Yes" -"330",11.27,100,54,9,433,89,"Good",45,12,"Yes","Yes" -"331",4.99,122,59,0,501,112,"Bad",32,14,"No","No" -"332",10.1,135,63,15,213,134,"Medium",32,10,"Yes","Yes" -"333",5.74,106,33,20,354,104,"Medium",61,12,"Yes","Yes" -"334",5.87,136,60,7,303,147,"Medium",41,10,"Yes","Yes" -"335",7.63,93,117,9,489,83,"Bad",42,13,"Yes","Yes" -"336",6.18,120,70,15,464,110,"Medium",72,15,"Yes","Yes" -"337",5.17,138,35,6,60,143,"Bad",28,18,"Yes","No" -"338",8.61,130,38,0,283,102,"Medium",80,15,"Yes","No" -"339",5.97,112,24,0,164,101,"Medium",45,11,"Yes","No" -"340",11.54,134,44,4,219,126,"Good",44,15,"Yes","Yes" -"341",7.5,140,29,0,105,91,"Bad",43,16,"Yes","No" -"342",7.38,98,120,0,268,93,"Medium",72,10,"No","No" -"343",7.81,137,102,13,422,118,"Medium",71,10,"No","Yes" -"344",5.99,117,42,10,371,121,"Bad",26,14,"Yes","Yes" -"345",8.43,138,80,0,108,126,"Good",70,13,"No","Yes" -"346",4.81,121,68,0,279,149,"Good",79,12,"Yes","No" -"347",8.97,132,107,0,144,125,"Medium",33,13,"No","No" -"348",6.88,96,39,0,161,112,"Good",27,14,"No","No" -"349",12.57,132,102,20,459,107,"Good",49,11,"Yes","Yes" -"350",9.32,134,27,18,467,96,"Medium",49,14,"No","Yes" -"351",8.64,111,101,17,266,91,"Medium",63,17,"No","Yes" -"352",10.44,124,115,16,458,105,"Medium",62,16,"No","Yes" -"353",13.44,133,103,14,288,122,"Good",61,17,"Yes","Yes" -"354",9.45,107,67,12,430,92,"Medium",35,12,"No","Yes" -"355",5.3,133,31,1,80,145,"Medium",42,18,"Yes","Yes" -"356",7.02,130,100,0,306,146,"Good",42,11,"Yes","No" -"357",3.58,142,109,0,111,164,"Good",72,12,"Yes","No" -"358",13.36,103,73,3,276,72,"Medium",34,15,"Yes","Yes" -"359",4.17,123,96,10,71,118,"Bad",69,11,"Yes","Yes" -"360",3.13,130,62,11,396,130,"Bad",66,14,"Yes","Yes" -"361",8.77,118,86,7,265,114,"Good",52,15,"No","Yes" -"362",8.68,131,25,10,183,104,"Medium",56,15,"No","Yes" -"363",5.25,131,55,0,26,110,"Bad",79,12,"Yes","Yes" -"364",10.26,111,75,1,377,108,"Good",25,12,"Yes","No" -"365",10.5,122,21,16,488,131,"Good",30,14,"Yes","Yes" -"366",6.53,154,30,0,122,162,"Medium",57,17,"No","No" -"367",5.98,124,56,11,447,134,"Medium",53,12,"No","Yes" -"368",14.37,95,106,0,256,53,"Good",52,17,"Yes","No" -"369",10.71,109,22,10,348,79,"Good",74,14,"No","Yes" -"370",10.26,135,100,22,463,122,"Medium",36,14,"Yes","Yes" -"371",7.68,126,41,22,403,119,"Bad",42,12,"Yes","Yes" -"372",9.08,152,81,0,191,126,"Medium",54,16,"Yes","No" -"373",7.8,121,50,0,508,98,"Medium",65,11,"No","No" -"374",5.58,137,71,0,402,116,"Medium",78,17,"Yes","No" -"375",9.44,131,47,7,90,118,"Medium",47,12,"Yes","Yes" -"376",7.9,132,46,4,206,124,"Medium",73,11,"Yes","No" -"377",16.27,141,60,19,319,92,"Good",44,11,"Yes","Yes" -"378",6.81,132,61,0,263,125,"Medium",41,12,"No","No" -"379",6.11,133,88,3,105,119,"Medium",79,12,"Yes","Yes" -"380",5.81,125,111,0,404,107,"Bad",54,15,"Yes","No" -"381",9.64,106,64,10,17,89,"Medium",68,17,"Yes","Yes" -"382",3.9,124,65,21,496,151,"Bad",77,13,"Yes","Yes" -"383",4.95,121,28,19,315,121,"Medium",66,14,"Yes","Yes" -"384",9.35,98,117,0,76,68,"Medium",63,10,"Yes","No" -"385",12.85,123,37,15,348,112,"Good",28,12,"Yes","Yes" -"386",5.87,131,73,13,455,132,"Medium",62,17,"Yes","Yes" -"387",5.32,152,116,0,170,160,"Medium",39,16,"Yes","No" -"388",8.67,142,73,14,238,115,"Medium",73,14,"No","Yes" -"389",8.14,135,89,11,245,78,"Bad",79,16,"Yes","Yes" -"390",8.44,128,42,8,328,107,"Medium",35,12,"Yes","Yes" -"391",5.47,108,75,9,61,111,"Medium",67,12,"Yes","Yes" -"392",6.1,153,63,0,49,124,"Bad",56,16,"Yes","No" -"393",4.53,129,42,13,315,130,"Bad",34,13,"Yes","Yes" -"394",5.57,109,51,10,26,120,"Medium",30,17,"No","Yes" -"395",5.35,130,58,19,366,139,"Bad",33,16,"Yes","Yes" -"396",12.57,138,108,17,203,128,"Good",33,14,"Yes","Yes" -"397",6.14,139,23,3,37,120,"Medium",55,11,"No","Yes" -"398",7.41,162,26,12,368,159,"Medium",40,18,"Yes","Yes" -"399",5.94,100,79,7,284,95,"Bad",50,12,"Yes","Yes" -"400",9.71,134,37,0,27,120,"Good",49,16,"Yes","Yes" +"Sales","CompPrice","Income","Advertising","Population","Price","ShelveLoc","Age","Education","Urban","US" +9.5,138,73,11,276,120,"Bad",42,17,"Yes","Yes" +11.22,111,48,16,260,83,"Good",65,10,"Yes","Yes" +10.06,113,35,10,269,80,"Medium",59,12,"Yes","Yes" +7.4,117,100,4,466,97,"Medium",55,14,"Yes","Yes" +4.15,141,64,3,340,128,"Bad",38,13,"Yes","No" +10.81,124,113,13,501,72,"Bad",78,16,"No","Yes" +6.63,115,105,0,45,108,"Medium",71,15,"Yes","No" +11.85,136,81,15,425,120,"Good",67,10,"Yes","Yes" +6.54,132,110,0,108,124,"Medium",76,10,"No","No" +4.69,132,113,0,131,124,"Medium",76,17,"No","Yes" +9.01,121,78,9,150,100,"Bad",26,10,"No","Yes" +11.96,117,94,4,503,94,"Good",50,13,"Yes","Yes" +3.98,122,35,2,393,136,"Medium",62,18,"Yes","No" +10.96,115,28,11,29,86,"Good",53,18,"Yes","Yes" +11.17,107,117,11,148,118,"Good",52,18,"Yes","Yes" +8.71,149,95,5,400,144,"Medium",76,18,"No","No" +7.58,118,32,0,284,110,"Good",63,13,"Yes","No" +12.29,147,74,13,251,131,"Good",52,10,"Yes","Yes" +13.91,110,110,0,408,68,"Good",46,17,"No","Yes" +8.73,129,76,16,58,121,"Medium",69,12,"Yes","Yes" +6.41,125,90,2,367,131,"Medium",35,18,"Yes","Yes" +12.13,134,29,12,239,109,"Good",62,18,"No","Yes" +5.08,128,46,6,497,138,"Medium",42,13,"Yes","No" +5.87,121,31,0,292,109,"Medium",79,10,"Yes","No" +10.14,145,119,16,294,113,"Bad",42,12,"Yes","Yes" +14.9,139,32,0,176,82,"Good",54,11,"No","No" +8.33,107,115,11,496,131,"Good",50,11,"No","Yes" +5.27,98,118,0,19,107,"Medium",64,17,"Yes","No" +2.99,103,74,0,359,97,"Bad",55,11,"Yes","Yes" +7.81,104,99,15,226,102,"Bad",58,17,"Yes","Yes" +13.55,125,94,0,447,89,"Good",30,12,"Yes","No" +8.25,136,58,16,241,131,"Medium",44,18,"Yes","Yes" +6.2,107,32,12,236,137,"Good",64,10,"No","Yes" +8.77,114,38,13,317,128,"Good",50,16,"Yes","Yes" +2.67,115,54,0,406,128,"Medium",42,17,"Yes","Yes" +11.07,131,84,11,29,96,"Medium",44,17,"No","Yes" +8.89,122,76,0,270,100,"Good",60,18,"No","No" +4.95,121,41,5,412,110,"Medium",54,10,"Yes","Yes" +6.59,109,73,0,454,102,"Medium",65,15,"Yes","No" +3.24,130,60,0,144,138,"Bad",38,10,"No","No" +2.07,119,98,0,18,126,"Bad",73,17,"No","No" +7.96,157,53,0,403,124,"Bad",58,16,"Yes","No" +10.43,77,69,0,25,24,"Medium",50,18,"Yes","No" +4.12,123,42,11,16,134,"Medium",59,13,"Yes","Yes" +4.16,85,79,6,325,95,"Medium",69,13,"Yes","Yes" +4.56,141,63,0,168,135,"Bad",44,12,"Yes","Yes" +12.44,127,90,14,16,70,"Medium",48,15,"No","Yes" +4.38,126,98,0,173,108,"Bad",55,16,"Yes","No" +3.91,116,52,0,349,98,"Bad",69,18,"Yes","No" +10.61,157,93,0,51,149,"Good",32,17,"Yes","No" +1.42,99,32,18,341,108,"Bad",80,16,"Yes","Yes" +4.42,121,90,0,150,108,"Bad",75,16,"Yes","No" +7.91,153,40,3,112,129,"Bad",39,18,"Yes","Yes" +6.92,109,64,13,39,119,"Medium",61,17,"Yes","Yes" +4.9,134,103,13,25,144,"Medium",76,17,"No","Yes" +6.85,143,81,5,60,154,"Medium",61,18,"Yes","Yes" +11.91,133,82,0,54,84,"Medium",50,17,"Yes","No" +0.91,93,91,0,22,117,"Bad",75,11,"Yes","No" +5.42,103,93,15,188,103,"Bad",74,16,"Yes","Yes" +5.21,118,71,4,148,114,"Medium",80,13,"Yes","No" +8.32,122,102,19,469,123,"Bad",29,13,"Yes","Yes" +7.32,105,32,0,358,107,"Medium",26,13,"No","No" +1.82,139,45,0,146,133,"Bad",77,17,"Yes","Yes" +8.47,119,88,10,170,101,"Medium",61,13,"Yes","Yes" +7.8,100,67,12,184,104,"Medium",32,16,"No","Yes" +4.9,122,26,0,197,128,"Medium",55,13,"No","No" +8.85,127,92,0,508,91,"Medium",56,18,"Yes","No" +9.01,126,61,14,152,115,"Medium",47,16,"Yes","Yes" +13.39,149,69,20,366,134,"Good",60,13,"Yes","Yes" +7.99,127,59,0,339,99,"Medium",65,12,"Yes","No" +9.46,89,81,15,237,99,"Good",74,12,"Yes","Yes" +6.5,148,51,16,148,150,"Medium",58,17,"No","Yes" +5.52,115,45,0,432,116,"Medium",25,15,"Yes","No" +12.61,118,90,10,54,104,"Good",31,11,"No","Yes" +6.2,150,68,5,125,136,"Medium",64,13,"No","Yes" +8.55,88,111,23,480,92,"Bad",36,16,"No","Yes" +10.64,102,87,10,346,70,"Medium",64,15,"Yes","Yes" +7.7,118,71,12,44,89,"Medium",67,18,"No","Yes" +4.43,134,48,1,139,145,"Medium",65,12,"Yes","Yes" +9.14,134,67,0,286,90,"Bad",41,13,"Yes","No" +8.01,113,100,16,353,79,"Bad",68,11,"Yes","Yes" +7.52,116,72,0,237,128,"Good",70,13,"Yes","No" +11.62,151,83,4,325,139,"Good",28,17,"Yes","Yes" +4.42,109,36,7,468,94,"Bad",56,11,"Yes","Yes" +2.23,111,25,0,52,121,"Bad",43,18,"No","No" +8.47,125,103,0,304,112,"Medium",49,13,"No","No" +8.7,150,84,9,432,134,"Medium",64,15,"Yes","No" +11.7,131,67,7,272,126,"Good",54,16,"No","Yes" +6.56,117,42,7,144,111,"Medium",62,10,"Yes","Yes" +7.95,128,66,3,493,119,"Medium",45,16,"No","No" +5.33,115,22,0,491,103,"Medium",64,11,"No","No" +4.81,97,46,11,267,107,"Medium",80,15,"Yes","Yes" +4.53,114,113,0,97,125,"Medium",29,12,"Yes","No" +8.86,145,30,0,67,104,"Medium",55,17,"Yes","No" +8.39,115,97,5,134,84,"Bad",55,11,"Yes","Yes" +5.58,134,25,10,237,148,"Medium",59,13,"Yes","Yes" +9.48,147,42,10,407,132,"Good",73,16,"No","Yes" +7.45,161,82,5,287,129,"Bad",33,16,"Yes","Yes" +12.49,122,77,24,382,127,"Good",36,16,"No","Yes" +4.88,121,47,3,220,107,"Bad",56,16,"No","Yes" +4.11,113,69,11,94,106,"Medium",76,12,"No","Yes" +6.2,128,93,0,89,118,"Medium",34,18,"Yes","No" +5.3,113,22,0,57,97,"Medium",65,16,"No","No" +5.07,123,91,0,334,96,"Bad",78,17,"Yes","Yes" +4.62,121,96,0,472,138,"Medium",51,12,"Yes","No" +5.55,104,100,8,398,97,"Medium",61,11,"Yes","Yes" +0.16,102,33,0,217,139,"Medium",70,18,"No","No" +8.55,134,107,0,104,108,"Medium",60,12,"Yes","No" +3.47,107,79,2,488,103,"Bad",65,16,"Yes","No" +8.98,115,65,0,217,90,"Medium",60,17,"No","No" +9,128,62,7,125,116,"Medium",43,14,"Yes","Yes" +6.62,132,118,12,272,151,"Medium",43,14,"Yes","Yes" +6.67,116,99,5,298,125,"Good",62,12,"Yes","Yes" +6.01,131,29,11,335,127,"Bad",33,12,"Yes","Yes" +9.31,122,87,9,17,106,"Medium",65,13,"Yes","Yes" +8.54,139,35,0,95,129,"Medium",42,13,"Yes","No" +5.08,135,75,0,202,128,"Medium",80,10,"No","No" +8.8,145,53,0,507,119,"Medium",41,12,"Yes","No" +7.57,112,88,2,243,99,"Medium",62,11,"Yes","Yes" +7.37,130,94,8,137,128,"Medium",64,12,"Yes","Yes" +6.87,128,105,11,249,131,"Medium",63,13,"Yes","Yes" +11.67,125,89,10,380,87,"Bad",28,10,"Yes","Yes" +6.88,119,100,5,45,108,"Medium",75,10,"Yes","Yes" +8.19,127,103,0,125,155,"Good",29,15,"No","Yes" +8.87,131,113,0,181,120,"Good",63,14,"Yes","No" +9.34,89,78,0,181,49,"Medium",43,15,"No","No" +11.27,153,68,2,60,133,"Good",59,16,"Yes","Yes" +6.52,125,48,3,192,116,"Medium",51,14,"Yes","Yes" +4.96,133,100,3,350,126,"Bad",55,13,"Yes","Yes" +4.47,143,120,7,279,147,"Bad",40,10,"No","Yes" +8.41,94,84,13,497,77,"Medium",51,12,"Yes","Yes" +6.5,108,69,3,208,94,"Medium",77,16,"Yes","No" +9.54,125,87,9,232,136,"Good",72,10,"Yes","Yes" +7.62,132,98,2,265,97,"Bad",62,12,"Yes","Yes" +3.67,132,31,0,327,131,"Medium",76,16,"Yes","No" +6.44,96,94,14,384,120,"Medium",36,18,"No","Yes" +5.17,131,75,0,10,120,"Bad",31,18,"No","No" +6.52,128,42,0,436,118,"Medium",80,11,"Yes","No" +10.27,125,103,12,371,109,"Medium",44,10,"Yes","Yes" +12.3,146,62,10,310,94,"Medium",30,13,"No","Yes" +6.03,133,60,10,277,129,"Medium",45,18,"Yes","Yes" +6.53,140,42,0,331,131,"Bad",28,15,"Yes","No" +7.44,124,84,0,300,104,"Medium",77,15,"Yes","No" +0.53,122,88,7,36,159,"Bad",28,17,"Yes","Yes" +9.09,132,68,0,264,123,"Good",34,11,"No","No" +8.77,144,63,11,27,117,"Medium",47,17,"Yes","Yes" +3.9,114,83,0,412,131,"Bad",39,14,"Yes","No" +10.51,140,54,9,402,119,"Good",41,16,"No","Yes" +7.56,110,119,0,384,97,"Medium",72,14,"No","Yes" +11.48,121,120,13,140,87,"Medium",56,11,"Yes","Yes" +10.49,122,84,8,176,114,"Good",57,10,"No","Yes" +10.77,111,58,17,407,103,"Good",75,17,"No","Yes" +7.64,128,78,0,341,128,"Good",45,13,"No","No" +5.93,150,36,7,488,150,"Medium",25,17,"No","Yes" +6.89,129,69,10,289,110,"Medium",50,16,"No","Yes" +7.71,98,72,0,59,69,"Medium",65,16,"Yes","No" +7.49,146,34,0,220,157,"Good",51,16,"Yes","No" +10.21,121,58,8,249,90,"Medium",48,13,"No","Yes" +12.53,142,90,1,189,112,"Good",39,10,"No","Yes" +9.32,119,60,0,372,70,"Bad",30,18,"No","No" +4.67,111,28,0,486,111,"Medium",29,12,"No","No" +2.93,143,21,5,81,160,"Medium",67,12,"No","Yes" +3.63,122,74,0,424,149,"Medium",51,13,"Yes","No" +5.68,130,64,0,40,106,"Bad",39,17,"No","No" +8.22,148,64,0,58,141,"Medium",27,13,"No","Yes" +0.37,147,58,7,100,191,"Bad",27,15,"Yes","Yes" +6.71,119,67,17,151,137,"Medium",55,11,"Yes","Yes" +6.71,106,73,0,216,93,"Medium",60,13,"Yes","No" +7.3,129,89,0,425,117,"Medium",45,10,"Yes","No" +11.48,104,41,15,492,77,"Good",73,18,"Yes","Yes" +8.01,128,39,12,356,118,"Medium",71,10,"Yes","Yes" +12.49,93,106,12,416,55,"Medium",75,15,"Yes","Yes" +9.03,104,102,13,123,110,"Good",35,16,"Yes","Yes" +6.38,135,91,5,207,128,"Medium",66,18,"Yes","Yes" +0,139,24,0,358,185,"Medium",79,15,"No","No" +7.54,115,89,0,38,122,"Medium",25,12,"Yes","No" +5.61,138,107,9,480,154,"Medium",47,11,"No","Yes" +10.48,138,72,0,148,94,"Medium",27,17,"Yes","Yes" +10.66,104,71,14,89,81,"Medium",25,14,"No","Yes" +7.78,144,25,3,70,116,"Medium",77,18,"Yes","Yes" +4.94,137,112,15,434,149,"Bad",66,13,"Yes","Yes" +7.43,121,83,0,79,91,"Medium",68,11,"Yes","No" +4.74,137,60,4,230,140,"Bad",25,13,"Yes","No" +5.32,118,74,6,426,102,"Medium",80,18,"Yes","Yes" +9.95,132,33,7,35,97,"Medium",60,11,"No","Yes" +10.07,130,100,11,449,107,"Medium",64,10,"Yes","Yes" +8.68,120,51,0,93,86,"Medium",46,17,"No","No" +6.03,117,32,0,142,96,"Bad",62,17,"Yes","No" +8.07,116,37,0,426,90,"Medium",76,15,"Yes","No" +12.11,118,117,18,509,104,"Medium",26,15,"No","Yes" +8.79,130,37,13,297,101,"Medium",37,13,"No","Yes" +6.67,156,42,13,170,173,"Good",74,14,"Yes","Yes" +7.56,108,26,0,408,93,"Medium",56,14,"No","No" +13.28,139,70,7,71,96,"Good",61,10,"Yes","Yes" +7.23,112,98,18,481,128,"Medium",45,11,"Yes","Yes" +4.19,117,93,4,420,112,"Bad",66,11,"Yes","Yes" +4.1,130,28,6,410,133,"Bad",72,16,"Yes","Yes" +2.52,124,61,0,333,138,"Medium",76,16,"Yes","No" +3.62,112,80,5,500,128,"Medium",69,10,"Yes","Yes" +6.42,122,88,5,335,126,"Medium",64,14,"Yes","Yes" +5.56,144,92,0,349,146,"Medium",62,12,"No","No" +5.94,138,83,0,139,134,"Medium",54,18,"Yes","No" +4.1,121,78,4,413,130,"Bad",46,10,"No","Yes" +2.05,131,82,0,132,157,"Bad",25,14,"Yes","No" +8.74,155,80,0,237,124,"Medium",37,14,"Yes","No" +5.68,113,22,1,317,132,"Medium",28,12,"Yes","No" +4.97,162,67,0,27,160,"Medium",77,17,"Yes","Yes" +8.19,111,105,0,466,97,"Bad",61,10,"No","No" +7.78,86,54,0,497,64,"Bad",33,12,"Yes","No" +3.02,98,21,11,326,90,"Bad",76,11,"No","Yes" +4.36,125,41,2,357,123,"Bad",47,14,"No","Yes" +9.39,117,118,14,445,120,"Medium",32,15,"Yes","Yes" +12.04,145,69,19,501,105,"Medium",45,11,"Yes","Yes" +8.23,149,84,5,220,139,"Medium",33,10,"Yes","Yes" +4.83,115,115,3,48,107,"Medium",73,18,"Yes","Yes" +2.34,116,83,15,170,144,"Bad",71,11,"Yes","Yes" +5.73,141,33,0,243,144,"Medium",34,17,"Yes","No" +4.34,106,44,0,481,111,"Medium",70,14,"No","No" +9.7,138,61,12,156,120,"Medium",25,14,"Yes","Yes" +10.62,116,79,19,359,116,"Good",58,17,"Yes","Yes" +10.59,131,120,15,262,124,"Medium",30,10,"Yes","Yes" +6.43,124,44,0,125,107,"Medium",80,11,"Yes","No" +7.49,136,119,6,178,145,"Medium",35,13,"Yes","Yes" +3.45,110,45,9,276,125,"Medium",62,14,"Yes","Yes" +4.1,134,82,0,464,141,"Medium",48,13,"No","No" +6.68,107,25,0,412,82,"Bad",36,14,"Yes","No" +7.8,119,33,0,245,122,"Good",56,14,"Yes","No" +8.69,113,64,10,68,101,"Medium",57,16,"Yes","Yes" +5.4,149,73,13,381,163,"Bad",26,11,"No","Yes" +11.19,98,104,0,404,72,"Medium",27,18,"No","No" +5.16,115,60,0,119,114,"Bad",38,14,"No","No" +8.09,132,69,0,123,122,"Medium",27,11,"No","No" +13.14,137,80,10,24,105,"Good",61,15,"Yes","Yes" +8.65,123,76,18,218,120,"Medium",29,14,"No","Yes" +9.43,115,62,11,289,129,"Good",56,16,"No","Yes" +5.53,126,32,8,95,132,"Medium",50,17,"Yes","Yes" +9.32,141,34,16,361,108,"Medium",69,10,"Yes","Yes" +9.62,151,28,8,499,135,"Medium",48,10,"Yes","Yes" +7.36,121,24,0,200,133,"Good",73,13,"Yes","No" +3.89,123,105,0,149,118,"Bad",62,16,"Yes","Yes" +10.31,159,80,0,362,121,"Medium",26,18,"Yes","No" +12.01,136,63,0,160,94,"Medium",38,12,"Yes","No" +4.68,124,46,0,199,135,"Medium",52,14,"No","No" +7.82,124,25,13,87,110,"Medium",57,10,"Yes","Yes" +8.78,130,30,0,391,100,"Medium",26,18,"Yes","No" +10,114,43,0,199,88,"Good",57,10,"No","Yes" +6.9,120,56,20,266,90,"Bad",78,18,"Yes","Yes" +5.04,123,114,0,298,151,"Bad",34,16,"Yes","No" +5.36,111,52,0,12,101,"Medium",61,11,"Yes","Yes" +5.05,125,67,0,86,117,"Bad",65,11,"Yes","No" +9.16,137,105,10,435,156,"Good",72,14,"Yes","Yes" +3.72,139,111,5,310,132,"Bad",62,13,"Yes","Yes" +8.31,133,97,0,70,117,"Medium",32,16,"Yes","No" +5.64,124,24,5,288,122,"Medium",57,12,"No","Yes" +9.58,108,104,23,353,129,"Good",37,17,"Yes","Yes" +7.71,123,81,8,198,81,"Bad",80,15,"Yes","Yes" +4.2,147,40,0,277,144,"Medium",73,10,"Yes","No" +8.67,125,62,14,477,112,"Medium",80,13,"Yes","Yes" +3.47,108,38,0,251,81,"Bad",72,14,"No","No" +5.12,123,36,10,467,100,"Bad",74,11,"No","Yes" +7.67,129,117,8,400,101,"Bad",36,10,"Yes","Yes" +5.71,121,42,4,188,118,"Medium",54,15,"Yes","Yes" +6.37,120,77,15,86,132,"Medium",48,18,"Yes","Yes" +7.77,116,26,6,434,115,"Medium",25,17,"Yes","Yes" +6.95,128,29,5,324,159,"Good",31,15,"Yes","Yes" +5.31,130,35,10,402,129,"Bad",39,17,"Yes","Yes" +9.1,128,93,12,343,112,"Good",73,17,"No","Yes" +5.83,134,82,7,473,112,"Bad",51,12,"No","Yes" +6.53,123,57,0,66,105,"Medium",39,11,"Yes","No" +5.01,159,69,0,438,166,"Medium",46,17,"Yes","No" +11.99,119,26,0,284,89,"Good",26,10,"Yes","No" +4.55,111,56,0,504,110,"Medium",62,16,"Yes","No" +12.98,113,33,0,14,63,"Good",38,12,"Yes","No" +10.04,116,106,8,244,86,"Medium",58,12,"Yes","Yes" +7.22,135,93,2,67,119,"Medium",34,11,"Yes","Yes" +6.67,107,119,11,210,132,"Medium",53,11,"Yes","Yes" +6.93,135,69,14,296,130,"Medium",73,15,"Yes","Yes" +7.8,136,48,12,326,125,"Medium",36,16,"Yes","Yes" +7.22,114,113,2,129,151,"Good",40,15,"No","Yes" +3.42,141,57,13,376,158,"Medium",64,18,"Yes","Yes" +2.86,121,86,10,496,145,"Bad",51,10,"Yes","Yes" +11.19,122,69,7,303,105,"Good",45,16,"No","Yes" +7.74,150,96,0,80,154,"Good",61,11,"Yes","No" +5.36,135,110,0,112,117,"Medium",80,16,"No","No" +6.97,106,46,11,414,96,"Bad",79,17,"No","No" +7.6,146,26,11,261,131,"Medium",39,10,"Yes","Yes" +7.53,117,118,11,429,113,"Medium",67,18,"No","Yes" +6.88,95,44,4,208,72,"Bad",44,17,"Yes","Yes" +6.98,116,40,0,74,97,"Medium",76,15,"No","No" +8.75,143,77,25,448,156,"Medium",43,17,"Yes","Yes" +9.49,107,111,14,400,103,"Medium",41,11,"No","Yes" +6.64,118,70,0,106,89,"Bad",39,17,"Yes","No" +11.82,113,66,16,322,74,"Good",76,15,"Yes","Yes" +11.28,123,84,0,74,89,"Good",59,10,"Yes","No" +12.66,148,76,3,126,99,"Good",60,11,"Yes","Yes" +4.21,118,35,14,502,137,"Medium",79,10,"No","Yes" +8.21,127,44,13,160,123,"Good",63,18,"Yes","Yes" +3.07,118,83,13,276,104,"Bad",75,10,"Yes","Yes" +10.98,148,63,0,312,130,"Good",63,15,"Yes","No" +9.4,135,40,17,497,96,"Medium",54,17,"No","Yes" +8.57,116,78,1,158,99,"Medium",45,11,"Yes","Yes" +7.41,99,93,0,198,87,"Medium",57,16,"Yes","Yes" +5.28,108,77,13,388,110,"Bad",74,14,"Yes","Yes" +10.01,133,52,16,290,99,"Medium",43,11,"Yes","Yes" +11.93,123,98,12,408,134,"Good",29,10,"Yes","Yes" +8.03,115,29,26,394,132,"Medium",33,13,"Yes","Yes" +4.78,131,32,1,85,133,"Medium",48,12,"Yes","Yes" +5.9,138,92,0,13,120,"Bad",61,12,"Yes","No" +9.24,126,80,19,436,126,"Medium",52,10,"Yes","Yes" +11.18,131,111,13,33,80,"Bad",68,18,"Yes","Yes" +9.53,175,65,29,419,166,"Medium",53,12,"Yes","Yes" +6.15,146,68,12,328,132,"Bad",51,14,"Yes","Yes" +6.8,137,117,5,337,135,"Bad",38,10,"Yes","Yes" +9.33,103,81,3,491,54,"Medium",66,13,"Yes","No" +7.72,133,33,10,333,129,"Good",71,14,"Yes","Yes" +6.39,131,21,8,220,171,"Good",29,14,"Yes","Yes" +15.63,122,36,5,369,72,"Good",35,10,"Yes","Yes" +6.41,142,30,0,472,136,"Good",80,15,"No","No" +10.08,116,72,10,456,130,"Good",41,14,"No","Yes" +6.97,127,45,19,459,129,"Medium",57,11,"No","Yes" +5.86,136,70,12,171,152,"Medium",44,18,"Yes","Yes" +7.52,123,39,5,499,98,"Medium",34,15,"Yes","No" +9.16,140,50,10,300,139,"Good",60,15,"Yes","Yes" +10.36,107,105,18,428,103,"Medium",34,12,"Yes","Yes" +2.66,136,65,4,133,150,"Bad",53,13,"Yes","Yes" +11.7,144,69,11,131,104,"Medium",47,11,"Yes","Yes" +4.69,133,30,0,152,122,"Medium",53,17,"Yes","No" +6.23,112,38,17,316,104,"Medium",80,16,"Yes","Yes" +3.15,117,66,1,65,111,"Bad",55,11,"Yes","Yes" +11.27,100,54,9,433,89,"Good",45,12,"Yes","Yes" +4.99,122,59,0,501,112,"Bad",32,14,"No","No" +10.1,135,63,15,213,134,"Medium",32,10,"Yes","Yes" +5.74,106,33,20,354,104,"Medium",61,12,"Yes","Yes" +5.87,136,60,7,303,147,"Medium",41,10,"Yes","Yes" +7.63,93,117,9,489,83,"Bad",42,13,"Yes","Yes" +6.18,120,70,15,464,110,"Medium",72,15,"Yes","Yes" +5.17,138,35,6,60,143,"Bad",28,18,"Yes","No" +8.61,130,38,0,283,102,"Medium",80,15,"Yes","No" +5.97,112,24,0,164,101,"Medium",45,11,"Yes","No" +11.54,134,44,4,219,126,"Good",44,15,"Yes","Yes" +7.5,140,29,0,105,91,"Bad",43,16,"Yes","No" +7.38,98,120,0,268,93,"Medium",72,10,"No","No" +7.81,137,102,13,422,118,"Medium",71,10,"No","Yes" +5.99,117,42,10,371,121,"Bad",26,14,"Yes","Yes" +8.43,138,80,0,108,126,"Good",70,13,"No","Yes" +4.81,121,68,0,279,149,"Good",79,12,"Yes","No" +8.97,132,107,0,144,125,"Medium",33,13,"No","No" +6.88,96,39,0,161,112,"Good",27,14,"No","No" +12.57,132,102,20,459,107,"Good",49,11,"Yes","Yes" +9.32,134,27,18,467,96,"Medium",49,14,"No","Yes" +8.64,111,101,17,266,91,"Medium",63,17,"No","Yes" +10.44,124,115,16,458,105,"Medium",62,16,"No","Yes" +13.44,133,103,14,288,122,"Good",61,17,"Yes","Yes" +9.45,107,67,12,430,92,"Medium",35,12,"No","Yes" +5.3,133,31,1,80,145,"Medium",42,18,"Yes","Yes" +7.02,130,100,0,306,146,"Good",42,11,"Yes","No" +3.58,142,109,0,111,164,"Good",72,12,"Yes","No" +13.36,103,73,3,276,72,"Medium",34,15,"Yes","Yes" +4.17,123,96,10,71,118,"Bad",69,11,"Yes","Yes" +3.13,130,62,11,396,130,"Bad",66,14,"Yes","Yes" +8.77,118,86,7,265,114,"Good",52,15,"No","Yes" +8.68,131,25,10,183,104,"Medium",56,15,"No","Yes" +5.25,131,55,0,26,110,"Bad",79,12,"Yes","Yes" +10.26,111,75,1,377,108,"Good",25,12,"Yes","No" +10.5,122,21,16,488,131,"Good",30,14,"Yes","Yes" +6.53,154,30,0,122,162,"Medium",57,17,"No","No" +5.98,124,56,11,447,134,"Medium",53,12,"No","Yes" +14.37,95,106,0,256,53,"Good",52,17,"Yes","No" +10.71,109,22,10,348,79,"Good",74,14,"No","Yes" +10.26,135,100,22,463,122,"Medium",36,14,"Yes","Yes" +7.68,126,41,22,403,119,"Bad",42,12,"Yes","Yes" +9.08,152,81,0,191,126,"Medium",54,16,"Yes","No" +7.8,121,50,0,508,98,"Medium",65,11,"No","No" +5.58,137,71,0,402,116,"Medium",78,17,"Yes","No" +9.44,131,47,7,90,118,"Medium",47,12,"Yes","Yes" +7.9,132,46,4,206,124,"Medium",73,11,"Yes","No" +16.27,141,60,19,319,92,"Good",44,11,"Yes","Yes" +6.81,132,61,0,263,125,"Medium",41,12,"No","No" +6.11,133,88,3,105,119,"Medium",79,12,"Yes","Yes" +5.81,125,111,0,404,107,"Bad",54,15,"Yes","No" +9.64,106,64,10,17,89,"Medium",68,17,"Yes","Yes" +3.9,124,65,21,496,151,"Bad",77,13,"Yes","Yes" +4.95,121,28,19,315,121,"Medium",66,14,"Yes","Yes" +9.35,98,117,0,76,68,"Medium",63,10,"Yes","No" +12.85,123,37,15,348,112,"Good",28,12,"Yes","Yes" +5.87,131,73,13,455,132,"Medium",62,17,"Yes","Yes" +5.32,152,116,0,170,160,"Medium",39,16,"Yes","No" +8.67,142,73,14,238,115,"Medium",73,14,"No","Yes" +8.14,135,89,11,245,78,"Bad",79,16,"Yes","Yes" +8.44,128,42,8,328,107,"Medium",35,12,"Yes","Yes" +5.47,108,75,9,61,111,"Medium",67,12,"Yes","Yes" +6.1,153,63,0,49,124,"Bad",56,16,"Yes","No" +4.53,129,42,13,315,130,"Bad",34,13,"Yes","Yes" +5.57,109,51,10,26,120,"Medium",30,17,"No","Yes" +5.35,130,58,19,366,139,"Bad",33,16,"Yes","Yes" +12.57,138,108,17,203,128,"Good",33,14,"Yes","Yes" +6.14,139,23,3,37,120,"Medium",55,11,"No","Yes" +7.41,162,26,12,368,159,"Medium",40,18,"Yes","Yes" +5.94,100,79,7,284,95,"Bad",50,12,"Yes","Yes" +9.71,134,37,0,27,120,"Good",49,16,"Yes","Yes" diff --git a/Data/Ch12Ex13.csv b/Data/Ch12Ex13.csv new file mode 100644 index 0000000..4da47c6 --- /dev/null +++ b/Data/Ch12Ex13.csv @@ -0,0 +1,1000 @@ 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-"Private","Apps","Accept","Enroll","Top10perc","Top25perc","F.Undergrad","P.Undergrad","Outstate","Room.Board","Books","Personal","PhD","Terminal","S.F.Ratio","perc.alumni","Expend","Grad.Rate" -"Yes",1660,1232,721,23,52,2885,537,7440,3300,450,2200,70,78,18.1,12,7041,60 -"Yes",2186,1924,512,16,29,2683,1227,12280,6450,750,1500,29,30,12.2,16,10527,56 -"Yes",1428,1097,336,22,50,1036,99,11250,3750,400,1165,53,66,12.9,30,8735,54 -"Yes",417,349,137,60,89,510,63,12960,5450,450,875,92,97,7.7,37,19016,59 -"Yes",193,146,55,16,44,249,869,7560,4120,800,1500,76,72,11.9,2,10922,15 -"Yes",587,479,158,38,62,678,41,13500,3335,500,675,67,73,9.4,11,9727,55 -"Yes",353,340,103,17,45,416,230,13290,5720,500,1500,90,93,11.5,26,8861,63 -"Yes",1899,1720,489,37,68,1594,32,13868,4826,450,850,89,100,13.7,37,11487,73 -"Yes",1038,839,227,30,63,973,306,15595,4400,300,500,79,84,11.3,23,11644,80 -"Yes",582,498,172,21,44,799,78,10468,3380,660,1800,40,41,11.5,15,8991,52 -"Yes",1732,1425,472,37,75,1830,110,16548,5406,500,600,82,88,11.3,31,10932,73 -"Yes",2652,1900,484,44,77,1707,44,17080,4440,400,600,73,91,9.9,41,11711,76 -"Yes",1179,780,290,38,64,1130,638,9690,4785,600,1000,60,84,13.3,21,7940,74 -"Yes",1267,1080,385,44,73,1306,28,12572,4552,400,400,79,87,15.3,32,9305,68 -"Yes",494,313,157,23,46,1317,1235,8352,3640,650,2449,36,69,11.1,26,8127,55 -"Yes",1420,1093,220,9,22,1018,287,8700,4780,450,1400,78,84,14.7,19,7355,69 -"Yes",4302,992,418,83,96,1593,5,19760,5300,660,1598,93,98,8.4,63,21424,100 -"Yes",1216,908,423,19,40,1819,281,10100,3520,550,1100,48,61,12.1,14,7994,59 -"Yes",1130,704,322,14,23,1586,326,9996,3090,900,1320,62,66,11.5,18,10908,46 -"No",3540,2001,1016,24,54,4190,1512,5130,3592,500,2000,60,62,23.1,5,4010,34 -"Yes",713,661,252,25,44,712,23,15476,3336,400,1100,69,82,11.3,35,42926,48 -"No",7313,4664,1910,20,63,9940,1035,6806,2540,96,2000,83,96,18.3,14,5854,70 -"Yes",619,516,219,20,51,1251,767,11208,4124,350,1615,55,65,12.7,25,6584,65 -"No",12809,10308,3761,24,49,22593,7585,7434,4850,700,2100,88,93,18.9,5,4602,48 -"Yes",708,334,166,46,74,530,182,8644,3922,500,800,79,88,12.6,24,14579,54 -"No",1734,1729,951,12,52,3602,939,3460,2650,450,1000,57,60,19.6,5,4739,48 -"Yes",2135,1700,491,23,59,1708,689,12000,5920,500,500,93,93,13.8,30,7100,88 -"No",7548,6791,3070,25,57,16262,1716,6300,3933,600,1908,85,91,16.7,18,6642,69 -"Yes",662,513,257,12,30,2074,726,11902,4372,540,950,65,65,12.8,31,7836,58 -"Yes",1879,1658,497,36,69,1950,38,13353,4173,540,821,78,83,12.7,40,9220,71 -"Yes",761,725,306,21,58,1337,300,10990,3244,600,1021,66,70,10.4,30,6871,69 -"Yes",948,798,295,42,74,1120,15,11280,4342,400,1150,81,95,13,33,11361,71 -"Yes",627,556,172,16,40,777,538,9925,4135,750,1350,59,67,22.4,11,6523,48 -"Yes",602,483,206,21,47,958,466,8620,4100,400,2250,58,68,11,21,6136,65 -"Yes",1690,1366,662,30,61,2718,1460,10995,4410,1000,1000,68,74,17.6,20,8086,85 -"Yes",261,192,111,15,36,453,266,9690,4300,500,500,57,77,9.7,35,9337,71 -"Yes",1910,838,285,50,85,1004,15,19264,6206,750,750,98,98,10.4,30,13894,79 -"Yes",2496,1402,531,53,95,2121,69,17926,8124,600,850,83,93,10.3,33,12580,91 -"Yes",990,784,279,18,45,1811,3144,11290,5360,600,1800,76,78,12.6,11,9084,72 -"Yes",6075,5349,2367,34,66,9919,484,6450,3920,600,1346,71,76,18.5,38,7503,72 -"Yes",1163,850,348,23,56,878,519,12850,5400,400,800,78,89,12.2,30,8954,73 -"Yes",807,707,308,39,63,1198,605,8840,2950,750,1290,74,82,13.1,31,6668,84 -"Yes",632,494,129,17,36,709,131,9000,4850,300,2480,78,85,13.2,10,7550,52 -"Yes",1220,974,481,28,67,1964,623,7800,3664,650,900,61,61,11.1,19,7614,49 -"Yes",1320,923,284,26,54,1085,81,16304,3616,355,715,87,95,11.1,26,12957,69 -"No",1208,877,546,12,36,3796,824,4425,2700,660,1800,57,62,19.6,16,3752,46 -"Yes",632,620,222,14,24,702,501,9550,3850,350,250,64,84,14.1,18,5922,58 -"Yes",519,327,114,25,53,457,2,21700,4100,600,500,35,59,10.1,33,16364,55 -"Yes",3466,2330,640,20,60,3095,1533,13800,5510,630,850,87,87,17.5,20,10941,82 -"Yes",1858,1221,480,37,68,1620,49,8050,3940,350,2375,80,80,16.3,17,10511,63 -"Yes",878,816,200,16,41,706,62,8740,3363,550,1700,62,68,11.6,29,7718,48 -"Yes",202,184,122,19,42,537,101,8540,3580,500,1400,61,80,8.8,32,8324,56 -"Yes",502,384,104,11,28,347,74,6200,2900,600,800,63,63,11.7,13,7623,35 -"Yes",1646,1150,542,12,30,2128,82,5188,3396,650,2500,48,48,13.8,9,6817,58 -"Yes",805,588,287,67,88,1376,207,11660,4325,400,900,74,79,14,34,8649,72 -"Yes",500,336,156,25,55,421,27,6500,2700,500,1000,76,76,14.3,53,8377,51 -"No",6773,3028,1025,15,55,5847,946,7844,2948,500,1680,66,68,18,19,7041,75 -"Yes",377,358,181,15,30,653,129,7150,4350,450,1500,61,67,17.8,3,6259,53 -"Yes",692,514,209,20,50,760,81,9900,3990,400,900,76,71,13.3,19,9073,58 -"Yes",20192,13007,3810,45,80,14971,3113,18420,6810,475,1025,80,81,11.9,16,16836,72 -"Yes",3356,1019,418,76,100,1490,8,19030,5885,1495,875,93,96,11.2,52,20447,96 -"No",9251,7333,3076,14,45,13699,1213,7452,3352,600,1700,81,89,21.1,14,6918,67 -"Yes",443,330,151,5,36,453,42,14080,6270,500,900,57,80,10.2,21,15387,46 -"Yes",3767,3414,1061,30,58,4531,643,10870,4440,2000,1522,75,81,14.4,21,7671,85 -"Yes",4186,2743,740,48,77,2819,62,19380,6750,410,1000,90,97,9.8,24,17150,84 -"Yes",367,274,158,12,41,917,479,9592,5879,500,700,71,80,13.7,12,5935,49 -"Yes",1436,1228,1202,10,26,1320,822,4371,2370,500,2000,62,62,12.6,10,4900,18 -"Yes",392,351,155,16,44,738,430,10260,3597,600,1500,39,66,13.1,26,8355,58 -"Yes",838,673,292,22,53,881,55,10265,4725,560,875,68,73,13.2,24,8655,82 -"Yes",7365,5402,4615,48,82,27378,1253,2340,3580,860,1220,76,76,20.5,40,7916,33 -"Yes",12586,3239,1462,87,95,5643,349,19528,5926,720,1100,99,100,7.6,39,20440,97 -"Yes",1465,810,313,71,95,1088,16,18165,6750,500,1200,100,100,12.3,49,17449,89 -"Yes",6548,3813,862,49,85,3316,31,18550,4750,800,1200,95,97,14.2,36,13675,93 -"Yes",860,688,285,32,70,1928,442,13306,3797,450,950,62,69,8.8,10,6333,78 -"Yes",2362,2037,700,40,68,2607,148,13130,4650,500,1600,77,81,10.9,29,9511,83 -"Yes",599,494,224,8,28,1035,446,10518,6250,300,300,59,76,16.5,36,7117,71 -"Yes",1011,604,213,17,42,693,868,8900,4600,425,1000,87,96,13.9,25,7922,55 -"Yes",563,247,247,23,52,1427,432,12950,5300,612,576,72,74,12.4,17,8985,60 -"No",7811,3817,1650,47,73,12911,1404,7380,4877,612,2091,72,81,19.8,13,8453,59 -"No",4540,3294,1483,5,60,13494,1254,7706,4368,600,1926,90,90,21.2,8,7268,61 -"Yes",1784,1512,913,29,56,3401,136,10230,3710,400,1210,75,81,14.8,41,7786,81 -"Yes",2087,1339,657,20,54,3191,1204,7550,2790,600,500,77,77,21.8,34,3739,63 -"Yes",848,587,298,25,55,935,184,6060,3070,600,1300,62,66,17.7,13,5391,49 -"Yes",2853,2193,753,16,34,2978,434,10750,5340,400,1130,90,92,14.6,26,7972,64 -"Yes",1747,1382,449,34,66,1662,960,13050,4000,500,800,64,69,12.1,27,9557,83 -"Yes",100,90,35,10,52,282,331,8400,2812,300,2134,10,50,12.1,24,7976,52 -"Yes",2694,1579,489,75,93,1870,12,19292,3957,550,550,81,93,10.4,60,17960,91 -"Yes",8728,5201,1191,60,89,4265,291,17900,5690,450,1250,86,93,9.2,31,24386,74 -"Yes",1160,991,352,19,55,1357,737,12200,3880,480,930,74,81,17.8,25,7666,79 -"Yes",1096,951,464,27,62,1776,239,8150,3150,400,500,61,62,13.6,16,6716,67 -"Yes",1616,1427,434,20,43,1405,580,13125,3775,500,1300,74,89,15.9,22,7364,62 -"Yes",3877,3156,713,71,93,3051,513,15700,4730,525,1460,95,95,2.9,29,19733,67 -"No",1257,940,363,9,22,1547,294,7656,4690,400,700,89,91,14.7,8,6318,79 -"Yes",1083,880,291,13,34,915,80,9270,4100,600,1860,75,82,13.5,27,8425,55 -"Yes",1754,1465,505,24,49,2159,211,13712,6408,526,1100,90,96,9.3,18,12751,75 -"Yes",3847,3433,527,9,35,1010,12,9384,4840,600,500,22,47,14.3,20,7697,118 -"Yes",776,607,198,25,58,791,764,14340,5285,500,1000,58,83,11.7,39,10961,74 -"Yes",1307,1090,616,25,55,2196,82,7344,4410,570,1000,50,52,15.3,34,6897,64 -"Yes",369,312,90,12,46,396,526,11400,5400,500,760,41,85,9.5,20,9583,24 -"Yes",495,434,210,35,55,775,44,8950,3490,600,1900,86,92,11.3,25,9685,66 -"Yes",601,396,203,1,20,525,323,11230,6643,2340,620,8,58,6.8,4,13025,47 -"Yes",1283,1113,401,31,65,1355,40,10938,3660,650,600,76,90,13.5,29,8444,67 -"No",4158,2532,902,6,24,6394,3881,5962,4444,500,985,69,73,16.7,4,4900,49 -"No",4681,4101,1436,10,35,8094,1596,4620,3288,300,2250,69,80,19.7,4,5501,50 -"No",2785,2011,1007,8,65,6507,898,7242,3603,654,1416,67,89,18.1,0,6413,51 -"Yes",174,146,88,8,29,1047,33,8300,3080,600,600,62,62,15.2,18,3365,58 -"Yes",1013,888,288,55,82,943,7,11850,4270,600,900,95,99,11.4,60,13118,74 -"Yes",959,771,351,23,48,1662,209,16624,5895,600,1100,72,80,12.8,6,12692,47 -"Yes",212,197,91,28,56,471,148,13500,5230,400,850,95,98,9.3,37,16095,52 -"Yes",342,254,126,25,64,518,232,10335,5015,700,850,71,71,8.3,29,7729,73 -"Yes",81,72,51,33,71,139,3,8730,3600,400,800,92,92,9.3,17,10922,58 -"Yes",880,520,224,16,42,1068,364,9300,3260,600,900,81,81,11.1,24,8129,63 -"No",883,766,428,3,37,2910,1749,7860,4750,525,1889,80,82,21.2,16,4639,48 -"Yes",1196,697,499,21,47,959,13,4412,2460,500,1000,69,69,16.9,31,7083,21 -"Yes",1860,767,227,71,93,887,1,17000,6010,500,850,99,99,9.6,52,18443,87 -"Yes",2887,2059,457,30,61,1928,296,17500,4200,500,950,94,95,10.5,35,11951,79 -"Yes",460,340,167,14,45,604,350,10740,3676,350,900,67,71,11,27,7963,74 -"Yes",2174,1953,557,35,68,2332,53,15960,5580,700,1300,95,95,15.8,32,11659,77 -"No",8065,5257,2301,37,65,11755,770,8116,3610,800,1618,82,88,18,17,7597,73 -"No",689,561,250,15,30,1125,422,7168,3689,600,1900,67,67,18.1,9,4417,46 -"Yes",1006,742,275,29,60,1127,205,13925,4390,500,2200,73,86,12.7,32,10141,67 -"Yes",604,452,295,15,47,690,222,9888,4502,400,1000,64,77,12.1,39,8741,75 -"Yes",2848,1319,456,58,84,1720,35,18930,5590,500,1000,83,94,10.2,41,15954,91 -"Yes",4856,2492,727,46,75,2649,25,19510,5565,500,750,95,98,10.5,45,15494,93 -"Yes",1432,888,317,29,58,1121,493,10860,5760,550,900,56,62,12.9,23,8604,96 -"No",4772,3140,1265,22,55,6851,1200,6120,3460,666,2316,73,78,17.2,18,4776,51 -"Yes",798,620,238,14,41,1165,1232,9800,4430,400,1150,46,46,11.1,35,6889,100 -"Yes",946,648,177,23,46,707,432,11790,5770,500,1000,75,77,11.9,35,10015,83 -"Yes",344,264,97,11,42,500,331,12600,5520,630,2250,77,80,10.4,7,9773,43 -"Yes",457,356,177,35,61,667,1983,11180,5620,600,700,64,64,11.5,32,7477,75 -"Yes",938,864,511,29,62,1715,103,12247,4221,500,600,70,88,13.1,26,8847,72 -"Yes",511,411,186,23,51,1692,562,12224,4440,450,1000,63,87,11.5,32,7315,77 -"Yes",444,359,122,34,53,493,968,10900,5250,380,1000,68,70,11.4,23,9447,78 -"Yes",983,664,249,23,57,1698,894,9990,5666,800,1500,66,71,14.3,28,6084,64 -"Yes",546,447,189,16,42,873,683,11138,4138,600,1200,40,74,14,7,8820,80 -"Yes",141,118,55,12,21,201,173,8300,4850,450,1300,53,53,9.5,19,6936,76 -"Yes",672,596,278,29,60,1350,275,11844,3696,450,1146,54,76,11.6,33,8996,72 -"Yes",2994,1691,659,70,95,2675,22,18000,6300,400,900,92,96,11.3,55,12138,95 -"No",7117,3106,1217,68,88,5186,134,11720,4298,600,800,89,92,12.1,31,9534,93 -"Yes",2100,1883,553,29,65,1704,1,16240,4690,500,500,84,96,11.1,43,14140,69 -"Yes",3207,1577,490,56,87,1892,7,17142,4190,450,1200,85,97,11.3,51,14664,84 -"No",9478,6312,2194,29,65,15646,1829,8412,4180,470,1800,87,89,19.2,10,7850,59 -"Yes",314,158,132,10,28,690,5346,8294,3700,400,900,87,87,15.3,2,5015,37 -"Yes",737,614,242,21,67,968,237,10425,3975,500,1500,61,77,14.7,34,8693,76 -"Yes",6756,1930,871,78,96,3376,55,18624,6664,550,300,97,98,5.9,21,30639,99 -"Yes",281,266,139,13,29,1049,181,10500,3750,450,950,69,75,12.8,18,6955,45 -"Yes",232,216,106,16,34,534,172,6900,3800,450,1825,67,76,12.1,9,6875,42 -"Yes",688,497,144,30,75,641,101,10800,4440,570,1515,55,60,13.1,13,8415,55 -"Yes",528,403,186,22,56,1168,145,9216,4191,400,1000,56,64,12.1,13,7309,75 -"Yes",3035,1546,438,42,93,1630,232,18740,6300,600,500,86,95,10.7,40,14773,91 -"Yes",440,407,149,35,70,643,80,12050,3700,500,900,63,76,10.2,31,10965,75 -"Yes",1538,1329,383,33,68,1140,10,15248,4323,550,800,71,76,12.2,31,10340,64 -"Yes",2967,2836,876,30,60,3450,644,10628,4372,650,2055,85,90,6.5,32,22906,85 -"Yes",1576,1110,274,24,55,992,112,8000,3700,400,500,51,52,14.1,28,5807,51 -"Yes",995,789,398,26,47,1306,122,6230,3526,400,600,42,44,13,4,8189,63 -"Yes",866,619,157,18,47,1074,336,8920,4310,680,1320,68,68,14.6,42,6898,46 -"Yes",504,482,185,10,36,550,84,9130,3322,450,1450,46,51,12.6,25,8686,54 -"Yes",585,508,153,12,30,460,536,12292,4934,500,500,61,61,22.2,10,8643,72 -"Yes",8587,2273,1087,87,99,3918,32,19545,6070,550,1100,95,99,4.7,49,29619,98 -"Yes",2373,956,452,77,96,1601,6,17295,5070,600,1011,95,97,12,46,17581,94 -"Yes",571,461,174,10,26,645,283,10850,3670,400,1159,58,60,12.8,19,7505,56 -"No",967,945,459,15,48,2806,538,4528,1880,500,1200,49,63,17.1,16,5113,58 -"Yes",2762,2279,533,32,60,1835,14,16900,4720,500,600,88,97,11.6,45,12423,81 -"Yes",1994,1656,495,50,80,1983,36,14300,5020,550,950,78,94,11.1,31,11525,82 -"Yes",3014,2539,487,31,68,1889,62,18700,5000,595,1250,87,94,11.2,39,13861,87 -"No",434,412,319,10,30,1376,237,4486,2146,600,2000,50,64,16.5,28,4525,46 -"Yes",1998,1376,651,41,88,1539,45,6700,3650,500,2307,52,52,14.1,12,7566,61 -"Yes",793,709,244,20,47,1022,411,9570,3000,400,1000,67,72,15.1,42,6852,60 -"Yes",360,329,108,4,19,756,863,8310,5500,600,1800,43,43,12.7,5,5480,54 -"Yes",604,562,328,25,50,1048,56,9800,2650,450,2800,61,60,12.5,17,7325,87 -"Yes",1011,829,410,9,33,1059,2458,9000,3100,450,1413,77,78,12.4,7,11178,42 -"Yes",2799,2573,839,34,65,3322,726,13420,4770,560,1675,88,93,15,24,9473,77 -"Yes",2153,1580,321,56,84,1192,87,18432,5616,520,660,93,97,10.2,28,14907,83 -"Yes",700,650,314,33,66,1065,48,8730,3523,500,750,82,92,13.2,35,9303,67 -"Yes",13789,3893,1583,90,98,6188,53,18590,5950,625,1162,95,96,5,44,27206,97 -"Yes",1358,1006,274,35,63,1028,13,15036,4056,600,600,90,94,10.6,46,14634,78 -"No",9274,6362,2435,14,44,13171,1687,7248,3240,500,1700,74,78,13.2,18,9002,58 -"No",3330,2730,1303,15,36,6706,2640,5800,3000,600,2200,73,75,14,9,9825,42 -"Yes",379,341,265,10,36,1050,151,4950,2780,530,1500,62,62,15.7,7,5619,38 -"Yes",458,369,165,16,42,1057,355,11190,4800,450,1230,60,60,13.6,22,8135,54 -"No",2172,1493,564,14,50,2766,1531,5962,4316,650,500,71,76,16.9,14,5719,50 -"No",5597,4253,1565,12,38,9161,845,5710,3066,120,1730,62,71,16.2,5,5682,76 -"Yes",486,440,227,19,48,903,59,9650,3800,600,1300,46,65,11.4,29,10188,82 -"Yes",516,409,200,17,40,1238,30,8770,3500,450,700,58,58,17.3,17,6430,70 -"Yes",1422,1109,366,33,65,1363,23,15360,4080,600,1000,82,89,12.8,26,15003,59 -"Yes",2417,1843,426,36,70,1476,299,14190,4400,500,750,65,68,12.8,25,9815,81 -"Yes",1457,1045,345,27,50,1109,502,14990,4980,450,550,77,98,21.5,21,7502,64 -"Yes",245,208,125,23,46,544,436,11800,4765,450,1700,71,71,11.3,21,8952,86 -"Yes",3624,2786,858,11,39,2933,334,9100,3883,490,1777,70,74,18.9,34,6329,63 -"Yes",3151,2584,958,14,40,4772,856,7800,3750,570,3020,37,43,16.5,4,12878,44 -"Yes",765,646,226,30,60,809,32,8578,4408,700,1600,79,88,13.9,51,8061,82 -"Yes",8506,4168,1236,76,97,5544,192,17600,6000,600,870,97,98,5,28,28457,96 -"No",1256,1256,853,43,79,3957,588,5401,3144,450,1888,72,75,19.3,4,5527,50 -"Yes",659,557,167,47,74,532,35,10485,3840,475,1246,76,80,13.5,47,7527,67 -"Yes",560,454,113,36,56,484,16,10955,3450,330,670,62,87,10.6,31,9552,53 -"No",1801,1101,438,14,50,3065,363,6297,4600,600,1323,75,78,18.1,14,8355,68 -"Yes",4784,3346,781,30,66,2984,1037,15000,6200,700,1100,86,90,15.1,30,11220,94 -"No",1455,1064,452,1,16,2632,617,6806,2550,350,766,75,75,15.1,10,6972,24 -"Yes",1339,1107,336,12,36,1051,82,9400,4200,500,1600,53,58,12.5,9,7967,22 -"Yes",1415,714,338,18,52,1345,44,5120,3200,500,2140,52,60,18.1,9,3930,69 -"Yes",1947,1580,523,39,74,1863,233,13900,4140,750,1500,90,90,10.6,7,8923,57 -"No",3306,2079,1071,42,89,10208,9310,6597,2494,800,3028,81,96,13.9,20,6722,66 -"Yes",1381,1040,374,20,44,1506,970,8025,4865,400,650,65,74,17.4,10,6339,68 -"No",11651,8683,3023,50,90,18906,3242,6680,4060,600,1020,80,89,23.1,15,7250,58 -"Yes",291,245,126,16,49,981,337,8390,4100,350,1500,45,55,21.5,24,4607,62 -"Yes",4200,2874,942,30,55,4740,1646,14235,6965,600,1735,86,97,14.4,14,10864,80 -"No",3440,2823,1123,16,35,3793,486,6198,3320,500,2500,89,97,19.1,6,4362,46 -"No",1801,1655,819,13,38,3224,436,5840,3138,400,2430,76,76,19.1,8,5039,43 -"Yes",553,452,228,22,49,1301,242,9650,4400,600,1000,57,69,14.9,8,6336,83 -"Yes",804,632,281,29,72,840,68,10390,4040,525,1345,54,78,12.5,37,11751,60 -"Yes",5187,4471,446,3,14,1818,1197,13320,4630,500,800,50,56,17.6,16,6418,51 -"Yes",895,548,314,20,54,1174,50,5500,3340,600,1600,68,76,16.1,13,6078,62 -"Yes",346,274,146,51,87,704,63,9900,3670,630,1818,59,59,10.5,14,8095,54 -"Yes",2161,1951,685,56,82,2371,175,13440,4048,600,1250,92,95,13.5,28,12940,82 -"Yes",2464,1908,678,24,57,2693,691,10970,4280,500,1380,47,51,13.3,18,7711,65 -"Yes",1110,930,332,18,36,1603,374,8180,4270,500,500,65,58,15.2,12,5664,29 -"Yes",668,534,237,19,39,1306,258,9476,4820,500,1100,67,67,20.1,26,6786,74 -"Yes",809,726,294,27,52,1271,43,12500,4130,400,1050,53,53,13.5,22,7136,52 -"No",5653,4326,1727,17,29,9528,3822,10800,4840,580,1050,93,96,19.3,7,6751,46 -"Yes",7875,5062,1492,38,71,5471,1470,17450,6328,700,950,92,93,7.6,15,14745,72 -"Yes",727,693,286,30,55,1063,48,8100,3950,550,550,73,76,13.3,28,7508,55 -"Yes",11115,2881,1390,71,93,5881,406,18300,7131,670,1700,91,92,7.2,27,19635,95 -"No",7837,4527,2276,89,99,8528,654,6489,4438,795,1164,92,92,19.3,33,11271,70 -"No",3793,2341,1238,9,24,7732,9054,6744,2655,720,3450,87,89,19,10,7762,34 -"Yes",348,281,127,12,52,1095,785,9150,3950,500,800,56,59,12.2,27,7348,76 -"Yes",3596,2466,575,42,78,1944,46,19964,4328,500,500,94,95,12.1,32,14720,83 -"Yes",633,468,284,10,27,823,963,6120,2985,531,1830,25,25,27.6,4,6081,36 -"Yes",1886,1524,526,31,67,2523,296,13000,4450,600,2400,78,90,14.7,32,9553,69 -"Yes",674,565,282,25,54,1151,39,12200,4070,400,1200,73,82,14.2,32,9226,66 -"Yes",440,396,221,26,51,910,166,9420,3730,600,1230,51,56,9.9,46,10270,72 -"Yes",1151,813,248,40,64,850,80,15588,6174,500,1200,78,90,9.2,34,16623,77 -"Yes",548,428,167,18,46,618,113,8958,3670,300,1000,53,59,15.3,26,9798,64 -"Yes",555,414,242,14,41,996,2281,9100,3100,550,880,51,61,23.6,24,5609,47 -"No",5165,3887,1561,20,60,8234,2619,6108,3800,500,1000,64,66,20.6,9,5063,57 -"Yes",780,628,198,7,20,545,42,11750,2700,400,850,77,83,14,24,6475,76 -"Yes",608,494,176,10,31,649,314,8330,3770,550,1300,64,80,13,31,7949,39 -"Yes",510,387,194,20,46,771,53,10310,4530,400,800,57,61,14.3,16,8222,60 -"Yes",2039,1389,432,56,91,1333,30,15688,4618,400,400,88,92,9.5,54,18979,83 -"Yes",2491,1110,573,57,88,2213,35,5224,3048,525,350,65,65,18.4,18,4957,100 -"Yes",1202,1054,326,18,44,1410,299,13404,5160,450,1050,78,86,15.6,30,9114,65 -"Yes",1709,1385,634,36,72,2281,50,14125,3600,400,700,79,89,12.5,58,9907,80 -"Yes",380,237,104,30,56,716,1108,11000,5550,500,500,36,41,7.8,22,7483,96 -"Yes",3140,1783,454,40,82,1646,24,19700,5050,300,800,91,96,9.6,60,17761,91 -"Yes",1006,825,328,34,73,1362,102,13252,4194,450,550,89,93,13,33,10296,65 -"Yes",817,644,307,20,40,945,1,13218,4773,660,600,95,97,13.3,53,12263,69 -"Yes",7178,3755,1433,25,63,4623,740,7161,3518,600,2000,60,64,14,9,6791,70 -"Yes",1006,837,317,33,65,1024,15,8200,3485,500,1200,84,84,10.6,26,9248,64 -"Yes",467,424,350,16,40,1365,334,6300,2980,700,2140,75,79,13.7,10,7054,38 -"Yes",1721,1068,806,35,75,3128,213,5504,3528,700,910,71,77,17.7,37,6466,73 -"Yes",2083,1725,430,22,49,1464,67,17480,4780,500,700,75,87,12.3,32,11625,73 -"Yes",13865,2165,1606,90,100,6862,320,18485,6410,500,1920,97,97,9.9,52,37219,100 -"Yes",1377,572,178,95,100,654,5,17230,6690,700,900,100,100,8.2,46,21569,100 -"Yes",817,708,262,22,52,935,37,9376,3272,500,1902,57,63,13,17,7335,52 -"Yes",823,721,274,52,87,954,6,8800,3195,500,1200,82,99,13.1,26,8588,63 -"Yes",920,745,347,35,66,1133,42,11090,4700,400,750,80,80,12,31,12639,79 -"Yes",922,729,244,37,66,1000,275,14067,4560,400,1000,75,95,10.6,34,12165,79 -"Yes",2688,2081,500,25,53,1792,5,19029,5841,600,600,99,99,12.1,37,13040,79 -"Yes",7428,5860,1349,25,63,6534,1350,11600,5920,1000,1000,81,90,13.9,10,10093,60 -"Yes",602,498,215,26,58,795,74,13470,5515,500,850,78,91,11.1,48,13957,72 -"Yes",699,565,176,36,64,710,399,13960,6040,450,690,82,88,14.4,34,12434,72 -"Yes",1712,1483,624,37,69,2505,208,12275,4341,465,1100,72,81,12.5,40,9284,72 -"Yes",949,786,302,30,70,1210,26,9990,3550,500,1500,85,90,15,24,8187,67 -"Yes",608,520,127,26,47,538,126,8080,3920,500,1100,63,72,11.4,9,7703,44 -"Yes",450,430,125,20,46,488,43,9950,3920,300,1300,76,76,11.8,25,9466,47 -"Yes",600,197,124,3,9,392,69,7260,3090,600,1840,31,35,12.9,4,9249,21 -"Yes",723,652,361,10,30,951,706,7800,4000,350,1500,36,44,22,4,4923,84 -"Yes",607,558,269,22,47,1222,519,10500,4348,650,1500,81,91,11.6,29,8324,75 -"Yes",894,787,262,28,63,909,28,8050,3850,600,1000,75,75,15.6,30,7348,52 -"Yes",1756,1360,478,42,77,1911,626,14550,4620,500,700,80,88,12.3,26,12851,56 -"No",8681,6695,2408,10,35,15701,1823,7799,3403,537,2605,77,84,21,16,5569,54 -"Yes",3050,1342,471,55,86,1818,23,14360,4090,400,650,77,92,12.9,34,9605,83 -"Yes",268,253,103,16,44,494,1305,10000,5364,500,1000,56,64,11.2,33,7305,69 -"Yes",1163,927,386,16,49,1685,556,8840,4689,750,2775,67,69,11.4,21,6095,95 -"No",5659,4761,3147,10,31,8596,1949,6892,3706,600,2500,72,76,16.6,8,6996,40 -"No",16587,13243,5873,25,72,24763,2717,9766,3990,600,2000,77,88,21.3,24,8686,68 -"Yes",735,423,366,20,48,2448,707,9210,3782,700,1000,49,51,39.8,15,6562,34 -"Yes",4892,3530,913,13,33,3906,1446,10690,6790,570,1150,66,83,16,14,8107,66 -"No",8427,7424,3441,26,59,18676,1715,7550,3224,640,2055,81,88,19.2,22,8420,65 -"Yes",7259,5526,1368,23,52,5612,166,14424,6192,634,1000,58,79,11.5,25,9812,75 -"No",11223,5285,2082,32,72,9652,742,7994,4544,500,732,77,81,17.9,29,5212,98 -"Yes",472,410,262,14,41,9950,71,7620,3050,400,400,51,53,17,21,3186,54 -"No",2957,1423,691,10,30,3817,1394,3946,4800,400,1500,63,67,14.9,10,8367,26 -"Yes",605,405,284,24,53,961,99,6398,3672,400,1350,68,68,13.3,19,8118,75 -"Yes",2421,2109,820,27,57,3168,392,11700,5550,600,450,89,90,14.5,28,7738,89 -"Yes",8474,3446,911,75,94,3566,1569,18800,6740,500,1040,96,97,3.3,38,56233,90 -"No",833,669,279,3,13,1224,345,7656,4690,500,624,80,91,14.4,15,6564,36 -"Yes",313,228,137,10,30,552,67,9414,4554,500,1700,34,55,10.6,30,7840,56 -"Yes",1005,859,298,36,55,1075,43,14850,4460,450,420,97,97,12.7,37,12067,80 -"No",5880,4075,2833,25,55,14914,2246,6995,3120,600,2000,76,86,18.5,22,6122,54 -"Yes",589,575,148,16,40,474,258,8400,3250,500,1400,63,55,12.4,14,6535,68 -"No",3121,2446,822,5,19,3480,776,7870,4157,500,1150,73,73,16.1,13,6195,61 -"Yes",584,497,175,20,49,662,121,8000,4150,500,1300,57,65,11.3,32,7058,62 -"Yes",2212,1538,408,44,75,1445,1,19240,3690,750,480,95,95,11.1,46,14067,88 -"Yes",461,381,174,10,43,738,55,9600,4550,600,750,55,94,13.3,43,7863,51 -"Yes",1456,1053,381,20,45,500,541,10910,5160,400,1795,66,72,15.6,37,7649,87 -"Yes",355,300,142,34,65,509,44,8664,3350,600,3000,65,68,10.7,25,8954,65 -"Yes",1040,845,286,48,77,967,24,15747,4062,400,800,88,95,12.7,33,13224,79 -"Yes",361,321,185,10,41,650,819,8842,4782,600,1100,57,73,14.2,14,7022,52 -"Yes",2929,1834,622,20,56,2738,1662,12600,5610,450,3160,90,90,15.1,9,9084,84 -"Yes",4010,2402,572,36,59,2018,226,18730,5740,600,1000,93,96,10.5,38,15365,92 -"Yes",544,399,177,15,35,600,363,6987,3585,750,1500,77,83,12.5,12,9067,75 -"Yes",979,638,271,31,70,968,20,16880,3970,920,1320,91,94,10.7,19,15687,77 -"Yes",497,452,231,24,47,887,1957,9400,4005,500,1000,49,65,17.2,25,4054,57 -"No",2336,1725,1043,10,27,5438,4058,4752,3040,508,1463,48,82,18.4,12,5879,26 -"Yes",831,538,224,15,35,840,325,5170,3430,600,1590,61,61,16.1,10,5531,60 -"No",1166,1009,510,9,33,2074,341,4938,2987,528,1702,67,77,17,11,6119,51 -"Yes",1243,947,324,50,77,1129,74,17163,3891,525,975,76,92,10.1,57,13965,77 -"Yes",1470,1199,425,21,76,1820,558,11040,4840,400,900,89,92,13.3,28,8118,94 -"Yes",1386,1060,320,28,56,965,502,13850,4755,400,1125,84,84,12.3,30,8196,85 -"Yes",6397,4304,1092,40,84,4298,132,18700,5580,750,1130,96,99,12.5,43,14665,91 -"Yes",979,743,259,25,46,1188,166,10100,4000,400,1000,88,92,12,20,8539,66 -"Yes",244,198,82,12,33,1134,336,11700,5300,550,805,71,88,27.8,18,8694,58 -"Yes",477,417,204,29,54,1532,77,8840,4240,600,1400,58,70,20.8,23,6863,56 -"Yes",2774,2092,482,35,64,1763,59,15800,4790,450,950,97,98,12.3,21,12999,69 -"Yes",1154,1050,395,12,31,2192,1423,10560,4520,500,1200,36,48,14.3,10,7701,61 -"Yes",787,562,363,21,55,925,605,5950,2890,600,1300,67,72,14.6,35,5177,53 -"No",1660,1091,326,15,41,1196,33,4818,3400,350,1400,71,72,12.6,8,10912,45 -"Yes",810,484,356,6,33,2155,191,9200,4800,1000,4200,65,85,24.1,9,3480,100 -"Yes",1561,1188,458,48,72,1548,840,13380,4210,500,900,89,91,17.8,34,8747,81 -"Yes",900,473,217,22,47,621,11,4400,3400,800,900,53,93,10.4,16,9268,92 -"No",3570,2215,651,17,41,3390,325,7352,3620,225,500,47,55,16.1,14,6374,63 -"No",2747,1870,724,12,47,2874,118,7920,3962,550,2200,74,80,18.4,23,5553,62 -"Yes",1641,1283,527,20,39,1663,170,11200,4000,500,1200,61,62,14.2,24,7578,70 -"Yes",2013,1053,212,33,61,912,158,5150,3036,500,1655,64,74,10.5,11,7547,59 -"No",5996,4993,3079,29,57,16269,3757,5925,2980,600,2242,83,87,15.9,11,6741,37 -"No",2397,2144,1525,22,45,6720,1822,3957,2325,618,1656,66,77,20,13,4546,45 -"Yes",4076,3137,738,25,54,3010,184,12990,6300,600,900,86,88,14.7,27,9448,80 -"Yes",3768,2662,753,42,64,3558,436,13592,5916,545,1328,84,88,14.2,10,11677,84 -"Yes",1891,1698,719,24,80,2740,761,11100,5870,600,750,77,88,11.7,14,9456,53 -"Yes",3579,2959,868,25,55,5244,3417,11500,5330,700,2000,94,95,6.2,15,13009,65 -"Yes",1549,1392,587,38,72,2269,85,13240,3560,600,400,73,85,13.8,38,8949,77 -"Yes",1286,1005,363,16,37,1363,74,13900,4300,500,900,75,81,14,32,8024,72 -"Yes",1756,1500,366,3,21,1524,280,12450,5400,450,870,62,66,12.4,24,8832,70 -"No",535,502,223,6,20,959,150,7320,4640,500,600,48,65,12.6,15,7114,51 -"Yes",2939,1496,452,56,86,1723,113,15909,4772,500,700,85,91,11.9,37,14213,77 -"Yes",740,558,177,12,29,628,63,9620,3750,550,950,49,55,10.8,33,10642,59 -"Yes",874,758,428,21,46,1605,246,9858,3700,450,1200,42,45,17.6,16,4796,55 -"Yes",1004,802,239,23,63,909,51,10440,3850,525,1450,63,72,11.8,20,7940,64 -"Yes",2432,1730,563,20,63,2578,254,12370,6800,500,1800,92,92,13.6,25,10062,79 -"Yes",962,750,212,21,54,830,150,14700,6550,450,400,97,97,11.3,24,11291,70 -"No",3073,2672,1547,9,29,9649,1792,4300,2643,450,1660,57,68,19,11,5801,68 -"Yes",824,670,337,15,41,1160,653,9400,3400,500,1100,37,37,8.4,21,5352,59 -"Yes",1611,960,342,27,60,1089,210,13850,3920,470,810,80,97,13.2,30,10223,96 -"Yes",4731,3171,830,12,31,3557,658,10700,5925,550,1200,74,81,17.6,34,8408,69 -"Yes",5152,4600,1685,36,71,7016,804,11610,4760,600,1950,86,94,13.5,25,9982,77 -"Yes",4226,3666,2007,14,60,7703,2339,5094,4010,700,1560,77,86,16.6,10,6203,50 -"Yes",499,441,199,26,52,846,377,11200,7400,600,1300,66,79,6.8,50,10819,90 -"No",4350,2178,756,39,78,2997,736,6490,4942,650,2102,75,80,17.6,30,5358,84 -"Yes",478,327,117,9,34,731,370,11510,6450,575,1075,71,93,10.3,30,10502,77 -"Yes",695,535,239,21,30,988,785,10200,7000,350,1100,63,76,11.7,20,10622,68 -"Yes",941,772,214,10,30,1247,776,11390,5280,500,750,77,82,10.6,17,8575,55 -"Yes",1464,888,176,26,52,624,128,11200,4208,500,1642,80,90,11.1,43,8317,51 -"Yes",549,397,169,26,51,1343,1751,9250,4550,425,1350,52,58,13.1,13,5925,61 -"Yes",1107,859,323,13,51,1452,402,11040,4500,600,700,65,76,11.8,30,9034,66 -"Yes",6411,2140,1078,96,99,4481,28,20100,5975,725,1600,99,99,10.1,35,33541,94 -"No",233,233,153,5,12,658,58,4486,2516,600,1900,68,68,15.7,11,6971,51 -"Yes",1002,555,119,16,43,836,684,7680,3740,500,800,70,74,17.7,21,6652,52 -"Yes",578,411,187,25,50,880,477,6930,3452,400,1525,57,64,11,11,6383,32 -"Yes",420,293,93,11,32,336,80,7950,3750,600,2740,54,54,9.8,45,9754,48 -"Yes",2286,1668,564,37,70,2943,1260,11985,4081,400,1500,93,95,9.2,15,8995,91 -"Yes",1557,1074,397,15,40,1805,433,9813,4050,425,1000,45,63,16.7,29,7307,78 -"Yes",857,772,376,25,58,1721,470,6720,3250,450,1520,77,82,13.9,33,6881,82 -"Yes",1981,1541,514,18,36,1927,1084,12500,6200,375,1000,73,75,16.8,22,8707,80 -"No",1584,1456,891,6,18,3471,911,5016,3798,540,2256,48,48,28.8,12,3871,59 -"Yes",1742,1382,607,30,64,2258,53,10300,5080,475,1200,68,75,14.1,30,7762,89 -"No",9239,7788,3290,35,39,13606,807,8856,3960,500,1382,81,89,17.6,20,7846,85 -"No",18114,15096,6180,23,57,26640,4120,10658,3734,504,600,93,95,14,9,10520,71 -"No",2618,2288,1032,42,77,5524,414,8127,3978,900,1200,82,82,17,25,7473,65 -"Yes",331,331,225,15,36,1100,166,6840,3720,1100,4913,33,33,15.4,20,5524,49 -"No",6011,3075,960,22,60,5146,1532,7844,3830,450,1258,72,74,16.8,20,7832,71 -"Yes",610,461,189,26,52,685,49,8200,3300,550,1000,63,69,12,16,8128,64 -"Yes",1444,1261,456,29,62,1788,95,11910,4378,450,965,60,77,11.4,25,8149,75 -"Yes",905,834,319,32,61,1073,179,11320,4402,550,1350,82,89,12.7,38,11218,58 -"Yes",1217,1088,496,36,69,1773,884,11505,3255,1000,2075,35,46,16.7,23,7140,67 -"Yes",594,385,307,36,57,1695,721,5580,2830,600,700,77,79,16.5,18,6170,61 -"No",4255,3277,1609,18,57,10094,1621,9866,3084,480,1479,77,77,15.9,20,6223,53 -"No",480,405,380,19,46,1673,1014,4386,2217,600,1500,49,54,15.8,8,5704,63 -"No",1576,1326,913,13,50,3689,2200,3840,2852,200,400,52,54,20.3,9,4172,100 -"Yes",1310,983,316,5,35,1057,175,8550,5050,400,900,35,67,17.4,16,4333,27 -"Yes",601,503,204,28,57,671,11,13000,4100,400,460,91,91,11.6,43,11087,56 -"Yes",2707,1881,478,14,34,1893,847,12480,5290,530,1740,70,85,14.2,15,9492,54 -"No",572,544,320,45,72,1470,416,6073,3400,550,1400,71,71,16.4,31,6112,74 -"No",3500,2836,1779,15,42,8730,993,5552,3710,550,2300,75,83,17.6,8,6324,37 -"No",5220,2128,865,19,53,6411,3186,3648,4834,700,950,82,87,21.5,9,6717,58 -"Yes",263,223,103,10,24,316,20,8438,3372,500,2958,42,50,11.1,4,11989,15 -"No",2442,2164,1189,12,37,5983,1075,4426,2664,600,1000,76,81,18.1,19,4795,60 -"Yes",1232,955,303,23,58,1241,485,14990,4730,550,1250,86,92,15.2,28,9566,74 -"Yes",3708,1678,722,41,66,2852,153,7050,5490,250,600,71,74,17.8,10,8122,83 -"Yes",586,533,239,16,36,950,228,10520,3678,500,1000,48,68,13,32,8111,56 -"Yes",882,730,330,2,13,926,12,4515,2550,850,2100,53,60,18.6,34,6990,60 -"Yes",1800,1314,526,47,79,1891,40,19300,5700,750,750,79,91,9,51,18359,84 -"Yes",279,276,126,17,37,600,435,6844,2980,500,500,45,55,11.7,38,5073,44 -"Yes",235,217,121,12,32,931,487,8950,3119,550,1125,51,51,10.7,26,7016,78 -"Yes",368,317,159,20,49,806,542,10500,3555,500,2285,44,50,11.3,30,6695,64 -"Yes",325,284,95,16,33,364,88,9900,3650,500,1200,32,37,13.6,43,6525,21 -"Yes",1321,1159,328,15,36,1243,79,12850,6200,550,900,77,82,12.8,36,8536,80 -"Yes",1170,695,238,14,48,1170,429,7470,4600,250,1400,74,75,15.3,23,6898,88 -"Yes",657,537,113,37,90,1039,466,12474,5678,630,1278,53,71,11.9,19,10613,72 -"Yes",1310,1086,458,26,61,1365,144,12250,3530,400,1150,85,87,16.7,35,7215,81 -"Yes",510,485,334,18,36,1114,94,7400,3346,600,600,57,57,19.8,7,6869,58 -"Yes",2519,1836,462,30,61,1656,352,16975,4565,600,850,76,86,12.8,39,10888,83 -"No",2225,1910,1190,29,55,5968,955,4738,3110,700,940,72,76,20.2,27,5972,52 -"Yes",1109,922,375,24,46,1115,70,13240,3914,600,800,73,85,13.4,27,9333,73 -"Yes",513,347,279,23,48,2508,505,9090,4500,650,500,62,65,18.3,2,7905,71 -"Yes",947,798,266,36,68,1274,471,10850,5150,550,800,77,93,13.6,24,8797,61 -"No",1879,1216,483,27,62,3311,1646,8832,5376,700,1850,92,98,13.5,19,12529,72 -"No",787,601,233,40,73,1017,411,5376,3214,600,1100,99,100,13.7,11,9241,34 -"Yes",13594,7244,2505,70,86,12408,2814,17748,7262,450,1000,87,98,7.8,16,21227,71 -"Yes",872,722,154,14,36,601,36,10194,2600,500,1500,57,63,11.4,32,5788,83 -"Yes",2220,1796,467,65,99,1919,334,10320,4762,450,650,68,100,14.2,20,7788,65 -"No",1563,1005,240,1,19,1380,136,5542,4330,500,1000,65,71,14.2,17,6562,57 -"No",4809,3089,1429,12,33,6162,871,6806,1780,600,1651,72,72,16.7,9,7090,44 -"No",10634,7064,3176,39,78,16505,5481,8400,6540,600,1300,92,98,17.5,21,9670,62 -"Yes",812,689,195,7,24,646,84,8242,4230,600,1295,77,77,12.7,11,10090,52 -"Yes",1127,884,308,30,64,1310,766,11718,7398,450,1800,73,87,16.4,33,8871,76 -"No",2968,2297,1610,13,47,7368,1128,5834,2744,600,2000,79,83,17,24,6310,42 -"Yes",465,361,176,19,39,879,156,12580,4345,400,970,76,79,13.1,24,10889,74 -"No",6040,4577,1620,36,72,5640,266,4856,3416,400,1100,69,72,15.7,13,6601,76 -"Yes",11901,8492,2517,16,42,11160,10221,13380,7425,600,1750,73,82,12.9,17,9563,46 -"No",5891,4931,1973,23,48,11249,2682,6746,3728,620,2342,78,83,21.7,7,6157,41 -"No",10706,7219,2397,12,37,14826,1979,7799,3296,470,1750,73,78,17.3,11,6086,56 -"No",2729,2535,1257,8,29,4787,472,3735,3136,250,1630,62,65,21.7,23,5284,54 -"Yes",616,514,385,29,52,1115,60,9840,2820,450,822,59,59,14.8,20,6261,58 -"Yes",860,811,366,22,56,1040,52,9900,3075,300,1800,68,68,14.9,34,6357,68 -"Yes",12289,5200,1902,85,98,7450,45,16404,5520,759,1585,96,100,6.8,25,26385,92 -"Yes",1743,1625,626,8,29,1862,382,14134,5270,500,800,71,74,13.1,22,9209,63 -"Yes",379,324,107,15,37,500,311,9990,4900,400,600,44,47,12.1,26,4948,33 -"No",3041,2581,1173,16,56,6441,3982,9114,4030,400,650,88,90,19.7,13,6637,53 -"Yes",4778,2767,678,50,89,2587,120,19670,5820,575,1119,77,96,10.1,47,16593,83 -"Yes",2324,1319,370,52,81,1686,35,16560,5140,558,1152,91,93,10.5,30,16196,79 -"Yes",792,649,186,56,87,769,377,12900,4340,600,4110,91,95,13.1,27,8568,67 -"Yes",2936,2342,669,35,62,2502,66,15990,4080,600,825,73,78,14.5,31,9979,83 -"No",11023,8298,3183,21,54,14861,1310,7629,4095,550,2300,79,87,20.4,13,8811,64 -"Yes",2190,1700,458,36,65,1780,48,16732,5650,550,550,93,93,12.1,32,12011,75 -"Yes",758,681,484,35,59,1707,705,5390,3140,515,1290,63,71,15.1,18,5511,50 -"Yes",776,765,351,22,44,1419,228,6400,3150,500,1900,58,64,16.2,8,6578,45 -"No",4522,3913,2181,29,57,12830,1658,5336,3344,800,3100,84,92,15.3,14,6433,48 -"Yes",1496,1205,428,26,57,1648,936,12888,4440,420,840,62,68,13.9,30,8802,87 -"Yes",910,773,450,31,73,1310,61,6530,2800,500,1500,63,67,13.3,10,6413,65 -"Yes",2308,1336,295,22,46,1202,942,8530,3644,616,1576,56,64,14.9,25,7114,37 -"Yes",8256,3750,1522,37,70,5809,4379,11000,5160,660,1115,90,95,13.8,10,10059,62 -"Yes",1603,1392,504,31,68,2580,302,13312,4488,600,1516,78,78,11,23,9431,83 -"Yes",940,668,385,20,48,1316,139,11925,3825,630,1926,48,87,12.3,12,9157,69 -"Yes",943,849,288,41,71,1041,35,14210,3994,450,1100,76,76,10.9,22,11216,42 -"No",944,774,440,14,34,2174,529,6360,2760,550,1498,77,77,15,5,6443,48 -"No",19315,10344,3450,48,93,28938,2025,10645,4060,512,2394,77,96,18.1,19,8992,63 -"Yes",3821,2037,680,86,96,2488,625,18200,6770,500,700,95,98,11.6,13,16185,66 -"No",701,501,458,10,40,959,457,2580,2624,500,900,48,100,20.1,24,4870,44 -"Yes",838,651,159,11,25,654,162,8640,3700,400,1915,62,62,12.2,13,7634,48 -"Yes",1538,1259,468,19,42,1664,1042,11690,5062,600,1664,48,80,12.9,15,8028,68 -"Yes",692,576,174,19,50,597,83,10500,3860,600,940,58,64,11.6,19,8990,39 -"Yes",663,562,127,20,40,641,63,5640,3620,600,750,89,89,13.2,17,7309,31 -"Yes",404,400,169,28,48,797,100,6000,3000,500,500,48,57,13.4,14,5557,61 -"Yes",1133,630,220,37,73,750,30,17688,5900,650,850,100,100,10.4,11,14820,73 -"Yes",809,687,428,20,43,1889,217,10178,4190,800,750,71,71,16.1,19,7895,54 -"Yes",875,744,207,7,38,1173,1402,9700,4830,400,1200,45,90,14.5,10,7652,66 -"Yes",1132,847,302,58,89,1379,214,16200,4200,436,2486,90,90,10.4,14,14329,62 -"No",2405,2234,1061,10,22,4564,448,4290,3500,598,1582,55,93,19.4,1,5967,35 -"Yes",1082,832,302,34,63,1133,30,11859,3635,554,1429,80,85,13.4,42,8354,85 -"Yes",13218,2042,1153,90,98,4540,146,19900,5910,675,1575,91,96,8.4,54,28320,99 -"Yes",5139,3346,973,20,55,3717,1358,14400,6200,450,1100,66,74,18.4,35,8135,96 -"No",21804,18744,5874,29,60,26213,4065,9556,3990,570,1060,86,86,18.2,15,8604,67 -"Yes",516,392,154,32,62,630,549,11020,4970,610,1900,73,75,14,36,9315,58 -"Yes",1025,707,297,22,66,1070,72,10100,4140,450,1080,69,71,16.3,32,6880,80 -"Yes",3712,2153,806,17,45,2677,714,12030,6140,1000,500,63,73,12,33,8847,86 -"No",5702,4894,1742,15,37,8077,472,6684,4110,500,900,73,83,19.6,9,4519,62 -"No",2088,957,362,6,29,2745,1938,4449,4860,600,1655,74,95,17.8,8,7333,47 -"Yes",1771,1325,306,21,46,1071,27,13840,3735,400,900,77,80,10.7,38,11080,74 -"Yes",696,616,169,35,66,653,56,13970,6110,370,920,88,97,9.2,24,16358,68 -"Yes",1966,1436,327,47,80,1199,61,19960,5490,500,450,90,90,11.8,37,15886,68 -"Yes",427,385,143,18,38,581,533,12700,5800,450,700,81,85,10.3,37,11758,84 -"Yes",4996,4165,936,53,82,4291,16,17475,5976,1230,1100,94,98,15.4,21,15605,70 -"Yes",2302,1831,391,58,82,1345,59,15200,4768,550,1500,90,96,10.8,47,13388,77 -"Yes",3586,2424,730,16,31,2748,1309,13250,5420,700,3100,84,92,12.3,23,11299,70 -"Yes",587,501,211,28,52,735,28,15200,4100,350,650,87,90,9.4,49,12472,64 -"Yes",484,386,141,6,28,590,1196,9870,4860,600,1100,59,59,12.2,19,6744,81 -"Yes",2227,1790,437,27,54,1460,239,13425,4425,450,1200,85,89,13,26,9405,72 -"Yes",935,858,345,22,50,1127,754,9490,4100,500,1500,60,79,10.7,21,7519,79 -"Yes",560,392,270,11,31,743,118,8734,3362,600,625,56,78,11.3,27,6422,68 -"Yes",3304,2804,679,10,20,2111,1489,12520,6050,500,730,44,54,16.4,8,7957,61 -"Yes",1777,1151,382,31,55,1668,1052,16425,5220,955,750,81,85,13.3,23,11561,90 -"Yes",434,321,141,28,53,624,269,10950,4600,550,950,79,82,12.9,30,9264,81 -"No",3820,1431,695,21,70,5303,3942,4356,4830,800,800,76,81,22.1,6,7252,51 -"No",48094,26330,4520,36,79,21401,3712,7410,4748,690,2009,90,95,19.5,19,10474,77 -"No",3366,1752,232,27,79,2585,1300,7411,4748,690,2009,90,95,18.6,12,10134,57 -"No",5785,2690,499,26,62,4005,1886,7410,4748,690,2009,90,95,17.4,16,11878,58 -"Yes",2307,1896,509,19,51,1707,1889,11070,5780,400,600,71,73,14.8,16,7120,82 -"Yes",897,718,276,12,48,1345,390,10450,4020,500,1500,56,56,14.1,16,7444,70 -"Yes",2095,1553,514,15,40,1873,94,12950,5400,450,1120,70,82,14.5,29,6719,97 -"No",3971,3306,1921,10,34,11493,2206,4259,2625,350,1884,70,75,18.9,10,4629,58 -"Yes",213,166,85,13,36,513,247,8670,3820,450,1000,43,78,12.5,4,7440,48 -"Yes",1046,824,284,21,45,1223,451,10880,5050,400,1235,64,64,19.3,24,7344,69 -"Yes",933,800,444,18,45,1691,72,12247,4081,500,600,76,85,12,38,9853,70 -"Yes",920,684,225,24,42,815,222,11200,4250,600,950,55,60,14.8,19,7360,67 -"Yes",833,682,217,12,33,716,2196,9985,5180,500,800,53,89,27.2,8,4322,85 -"Yes",2519,2003,776,39,71,2473,1314,12750,6350,350,1690,84,90,17.4,13,8243,83 -"Yes",292,241,96,20,52,543,712,12200,4600,650,950,87,90,11.2,32,8680,76 -"Yes",3294,2855,956,44,67,4576,1140,11690,4730,800,6800,84,94,4.6,19,18367,67 -"Yes",888,734,393,26,60,1433,27,12730,4514,500,1525,74,95,9.9,31,11165,98 -"Yes",876,802,367,14,35,1263,118,10800,3600,400,820,68,74,18.8,19,5081,78 -"Yes",150,130,88,23,50,341,768,10300,4130,500,1700,44,58,10.2,37,9678,75 -"Yes",1910,1380,463,16,64,1715,106,13030,5860,500,750,79,88,14.5,34,10190,84 -"Yes",2248,1673,745,38,73,2888,105,14350,3750,550,550,82,88,10,31,12502,83 -"Yes",1606,1413,530,23,38,1921,1154,9408,5520,500,450,78,78,12.1,22,7669,53 -"Yes",700,595,278,19,35,1035,182,10850,3936,500,900,62,64,12.3,31,8534,88 -"Yes",785,647,295,15,65,1670,726,10860,4624,600,794,87,100,13.7,15,8953,55 -"Yes",489,384,120,23,52,700,45,10575,3952,400,620,46,24,13,9,8946,98 -"Yes",335,284,132,28,69,534,216,10475,6300,500,2000,68,68,11.2,46,9599,60 -"No",4216,2290,736,20,52,4296,1027,5130,4690,600,1450,73,75,17.9,18,5125,56 -"Yes",1680,1395,691,34,76,2959,402,8236,3700,569,1650,74,75,14.7,17,9533,61 -"No",9402,7020,2151,20,70,16407,5550,8384,5110,612,2400,87,93,19.5,7,7930,41 -"Yes",4019,2779,888,40,73,3891,128,13584,5928,630,1278,88,92,13.9,19,10872,100 -"Yes",1380,768,263,57,82,1000,105,19300,6694,600,700,89,93,6.1,18,14779,83 -"Yes",1109,688,386,20,65,1897,208,8325,5000,1200,1600,14,98,16.1,26,6874,55 -"Yes",584,413,131,19,51,521,99,8955,5900,500,1488,51,56,11.8,23,8545,52 -"Yes",855,632,139,60,83,569,7,17238,7350,600,800,95,100,8.2,41,18372,73 -"Yes",1183,1016,411,42,82,1922,704,12669,4875,600,1250,83,85,16.8,20,10368,66 -"Yes",2115,1540,494,28,72,2993,347,12825,4375,500,1500,85,85,12.2,16,10175,89 -"Yes",4576,3565,1000,16,36,4384,1530,12000,6484,650,1000,81,84,14.4,15,10080,64 -"Yes",936,794,197,24,56,752,210,11240,4180,350,2000,71,71,11.2,37,10065,71 -"No",5818,3281,1116,14,53,5268,300,7844,3504,450,1700,80,83,18.8,13,6719,72 -"Yes",540,445,165,23,70,1115,111,7210,3600,500,2000,62,65,13.2,18,7356,58 -"Yes",2961,1932,628,24,68,2669,616,10800,5100,575,1090,71,82,14.1,42,8189,100 -"Yes",464,419,183,10,31,686,287,9240,3880,475,1090,29,49,7.2,17,9431,47 -"Yes",1003,782,295,23,53,1144,160,16160,6950,500,1200,74,81,8.9,33,14086,79 -"Yes",1016,872,300,27,57,1116,602,11250,4980,550,1400,66,73,15.8,36,7411,70 -"Yes",437,400,211,13,35,614,271,8990,3064,500,1700,73,73,14.8,7,7881,48 -"Yes",4293,2728,591,25,62,2322,263,18710,5970,500,700,87,92,12.7,29,14837,81 -"Yes",2925,1598,632,51,88,2479,95,18820,6390,500,1050,85,97,10.3,44,21199,90 -"No",2807,2589,1701,13,37,7000,1103,3811,2190,500,1970,62,65,15,29,5084,67 -"No",2281,1870,1408,18,43,6553,1246,4680,3540,200,2150,75,76,17.1,8,5916,45 -"No",818,700,447,20,50,2962,651,3738,2619,450,1022,55,59,19.6,9,4444,53 -"Yes",385,340,193,18,38,784,127,9520,4124,630,1818,63,65,18.6,11,8219,43 -"No",2540,2195,994,13,40,6063,2550,5472,3598,221,2216,76,81,16.5,8,7498,43 -"Yes",4301,3455,1166,41,69,4892,387,12772,5078,576,1802,74,88,13.5,17,12726,72 -"Yes",1093,1093,642,12,32,1770,967,7070,2500,400,1000,52,54,15.9,13,4718,71 -"No",6118,5254,3204,15,37,13131,3374,4740,2590,500,1360,70,75,19.9,11,4632,56 -"No",1047,938,511,13,33,2091,546,4285,2750,600,1800,58,75,16.5,31,6591,51 -"Yes",321,318,172,11,27,620,280,7536,3736,430,1651,44,77,13,12,5309,36 -"Yes",213,155,75,28,66,504,147,7200,3532,550,1500,56,56,11.8,12,7818,52 -"Yes",1244,912,352,44,77,1177,43,11850,4675,600,1050,83,89,11.3,35,12995,67 -"Yes",283,201,97,10,45,589,263,8400,2800,600,900,50,56,10.6,40,6860,89 -"Yes",3713,1237,443,47,83,1971,107,7000,5565,660,2400,73,80,12.5,18,9988,65 -"Yes",372,362,181,15,32,1501,353,8600,3550,385,665,48,48,15.4,9,10938,49 -"Yes",1489,1313,375,13,45,1688,131,10456,4927,500,1050,91,91,17.7,32,9828,78 -"Yes",323,278,122,31,51,393,4,16150,5450,275,800,63,72,7.2,26,15622,64 -"Yes",1368,1064,354,19,51,1687,677,10570,5600,400,800,86,81,14.5,29,7908,66 -"Yes",2753,1820,505,31,56,1801,45,18720,5730,650,825,90,94,11.5,38,14980,85 -"Yes",191,165,63,5,25,494,574,11550,4270,300,500,43,77,14.5,8,9209,40 -"Yes",2643,1611,465,36,80,2615,248,13332,6354,630,1584,88,89,16.1,17,9619,78 -"No",1340,695,285,42,73,1315,209,6800,4730,675,1250,84,89,11.6,23,10357,63 -"Yes",1243,1020,414,33,60,2149,418,8678,3858,700,1736,82,83,16.2,7,7651,72 -"Yes",1334,1243,568,30,56,1946,95,12140,4450,425,1100,74,78,15.1,36,8595,88 -"Yes",651,581,243,8,17,617,34,5000,3650,600,600,45,45,14,8,8426,45 -"Yes",861,609,215,10,27,1117,815,8650,5700,500,1750,69,73,16.1,13,6534,67 -"Yes",450,405,194,17,34,614,388,13900,5200,450,2150,46,63,10.9,17,9995,59 -"Yes",1557,1227,489,37,69,1964,81,12315,4565,600,1365,85,90,12.5,24,10307,73 -"Yes",1768,1249,380,51,93,1263,11,16900,5680,450,750,89,89,19,33,12837,79 -"No",4019,1579,710,23,65,4365,765,3040,4351,711,1125,78,92,19.5,7,5599,64 -"Yes",3646,2300,585,25,69,2022,926,12170,6172,480,800,79,79,13,30,7495,97 -"No",13528,9198,1843,16,61,10168,1231,6550,4355,700,1560,93,96,17.4,16,9075,74 -"No",14463,6166,1757,60,94,8544,671,6550,4598,700,1000,83,100,18,15,8055,80 -"No",15039,9649,3087,36,100,13963,3124,6550,4731,708,957,90,97,13.6,15,11177,56 -"No",12512,6969,1724,27,66,9744,1351,6550,4712,600,1200,91,96,10.5,7,13705,57 -"No",7294,3564,904,7,34,5758,1363,6550,4460,500,705,79,83,19,14,6632,49 -"No",8000,4556,1464,17,70,6943,869,6550,4810,500,1500,69,85,22,21,5280,63 -"No",5318,3515,1025,8,29,7626,2091,6550,4040,550,1230,71,78,18.7,12,7511,42 -"No",7888,3519,1036,6,40,5011,346,6550,4680,630,1274,82,85,17.8,17,5563,53 -"No",4877,2798,814,13,48,4123,298,6550,4420,620,1481,82,90,16.3,10,6442,66 -"No",8598,4562,1143,56,93,5060,146,6550,4170,600,650,79,84,19.1,25,5716,76 -"No",8399,3609,656,19,53,4658,1478,6550,4240,550,1500,85,93,15.3,8,6608,53 -"No",5549,3583,853,9,40,5004,475,6550,4176,600,1380,80,90,17.9,16,6174,65 -"No",3150,2289,650,16,51,3598,234,6840,4660,500,1000,71,75,15.1,17,6436,59 -"No",2119,1264,390,5,33,2478,1441,6550,4760,1125,1362,80,100,14.9,8,8170,46 -"Yes",2096,1512,465,27,59,1442,166,16130,4710,400,800,83,86,13.9,37,10554,90 -"Yes",462,402,146,36,68,527,41,14500,6000,500,600,91,99,6.5,48,18953,61 -"Yes",10477,7260,2442,28,67,10142,117,15150,6870,635,960,73,84,11.3,13,14231,67 -"Yes",257,183,109,19,41,396,38,7850,3410,400,1500,55,70,10,15,7233,53 -"Yes",4414,1500,335,30,60,908,119,5666,2964,1000,1400,56,58,15.5,7,5970,46 -"Yes",1769,1092,437,41,80,1757,81,10965,4000,450,1250,60,61,14.2,32,8294,98 -"Yes",232,182,99,7,29,402,237,7070,3640,400,3158,59,65,8.9,16,6286,36 -"No",14474,10519,6392,49,85,31643,2798,5130,3412,600,2144,89,91,23.1,29,8471,69 -"No",529,481,243,22,47,1206,134,4860,3122,600,650,103,88,17.4,16,6415,43 -"Yes",4095,3079,1195,33,64,5064,660,8490,3320,650,2400,81,93,14.8,23,9158,64 -"Yes",497,423,215,27,57,895,429,7850,3410,490,1700,54,58,13.8,24,7002,50 -"No",4345,3245,2604,15,85,5584,3101,7860,3360,600,1700,65,75,18.2,21,3605,10 -"Yes",592,501,279,19,44,1204,392,6400,3484,600,1800,80,83,14.5,10,7936,43 -"No",1500,1242,611,12,36,2024,292,7070,2439,400,779,95,94,17.1,17,7744,84 -"Yes",1154,951,253,15,31,791,140,11172,4958,700,1350,68,76,11.6,16,9186,60 -"Yes",845,734,254,5,21,662,351,7600,3800,600,1200,59,74,19,40,5096,39 -"Yes",759,729,244,57,81,867,51,10900,4450,500,1000,81,91,12.1,41,10219,70 -"No",5042,2312,944,55,94,5167,902,5391,5411,700,1000,81,87,14.4,6,8504,81 -"Yes",1262,1102,276,14,40,978,98,9456,4350,468,1323,53,53,12.8,24,7603,65 -"Yes",3058,1798,478,46,84,1737,244,18810,5690,500,680,91,96,10.4,48,18034,91 -"Yes",247,189,100,19,49,309,639,11412,6430,500,900,89,93,8.3,37,11806,96 -"Yes",222,185,91,16,41,484,541,11010,5208,550,500,58,78,10.4,26,9586,78 -"Yes",2425,1818,601,62,93,2110,95,12240,5150,500,490,94,96,9.6,20,14703,93 -"Yes",7033,5125,1223,47,75,4941,1534,19040,5950,350,800,98,98,9.1,21,16920,74 -"Yes",626,372,145,12,34,983,40,7700,3400,450,800,70,70,21.9,28,4933,52 -"Yes",2267,1827,611,20,59,2825,144,6735,3395,600,1425,70,74,12.2,7,10872,65 -"Yes",484,384,177,9,45,634,78,7800,2950,500,600,60,88,14.1,9,6864,64 -"Yes",3495,1712,528,49,84,1915,123,18732,6204,450,1024,94,96,11.5,49,15411,88 -"No",4800,2900,1515,14,48,7764,1472,6874,2394,518,1890,73,78,19.2,14,5901,56 -"No",1797,1260,938,24,35,6960,4698,4440,5175,750,2200,96,96,6.7,16,16352,33 -"No",3235,3108,2133,25,65,9978,1530,5028,3300,500,2000,73,89,14.8,10,6820,39 -"No",19873,8252,3215,95,100,19532,2061,11648,6246,636,1933,93,97,15.8,10,13919,78 -"No",15698,10775,2478,85,100,12677,864,12024,5302,790,1818,96,96,16.1,11,15934,66 -"No",6986,2959,1918,25,60,12330,7152,6618,4234,700,1600,80,98,22.2,9,6742,46 -"Yes",682,535,204,22,43,771,611,9500,3540,400,750,26,58,2.5,10,7683,57 -"Yes",6348,2999,922,68,94,3340,39,18930,6380,500,1254,99,99,5.3,36,36854,90 -"No",6855,5553,2408,26,57,11036,2011,8907,4697,556,1851,89,95,10.8,6,13889,54 -"No",9735,7187,2064,23,63,12478,1660,11656,5072,700,2300,89,95,16,16,10178,71 -"Yes",681,588,246,44,74,1058,73,10760,6230,500,1200,85,93,13.4,26,8731,63 -"Yes",6361,5293,1507,26,51,5889,665,11380,4220,500,900,81,85,14.8,25,8894,93 -"Yes",14446,10516,3252,22,57,14130,4522,10220,4230,530,1300,82,87,18.3,15,10650,75 -"Yes",2974,2001,580,29,60,2666,554,15192,4695,400,1350,84,91,15.9,21,11762,67 -"Yes",927,731,415,24,50,2149,2217,11130,3996,600,2166,72,79,13.5,14,10891,51 -"Yes",576,558,137,11,39,662,131,10430,3620,400,1500,85,98,16.5,18,8767,45 -"Yes",2096,1626,694,35,67,2551,407,11800,4340,700,960,60,81,15.8,26,7780,77 -"No",12445,8836,3623,54,85,24470,3286,7090,4180,630,1530,88,97,13.4,20,14737,66 -"No",11220,7871,3320,43,79,19553,2748,5697,3600,525,1755,88,95,14.7,22,7881,63 -"Yes",5081,4040,1194,11,26,3768,1415,14220,6000,500,1440,61,76,10.7,9,10625,66 -"No",3580,2603,1627,36,69,11028,2411,4460,3038,687,1281,85,87,11.8,6,12833,54 -"No",14939,11652,5705,52,88,25422,911,7560,4574,500,1982,87,90,17.4,13,8559,81 -"No",8384,5727,2710,22,50,13518,2916,7230,5088,630,3228,82,84,10,6,13883,34 -"Yes",1487,1276,388,26,51,1417,1646,11120,4080,525,1405,55,56,11.1,23,6735,69 -"No",8579,5561,3681,25,50,17880,1673,6994,3384,700,2681,88,94,13.7,17,9657,57 -"Yes",1597,969,226,16,38,1431,1522,13540,5050,630,2298,66,68,14.1,23,10139,47 -"No",4777,3057,1823,16,33,9844,6198,6540,3600,530,2440,84,92,11.1,24,10207,31 -"No",1208,803,438,20,48,1906,344,6810,3970,450,1647,67,75,15.9,26,5712,59 -"No",441,369,172,17,45,633,317,6600,3680,600,400,46,46,15.1,4,5935,64 -"No",461,381,235,10,40,974,503,6600,3630,400,1675,67,67,15.2,11,6408,35 -"No",4269,2594,985,27,57,6476,2592,8594,4408,494,2768,82,88,18.4,6,7618,55 -"No",14292,10315,3409,22,53,19340,3991,8723,5146,550,1550,89,92,18.1,12,9021,63 -"No",14438,12414,3816,12,39,16282,1940,8566,3897,500,1400,88,92,16.7,15,10276,68 -"No",3347,2597,1006,10,37,4664,1630,6919,4500,500,1250,74,90,15,20,7462,56 -"Yes",7122,5386,1643,42,69,7760,876,16500,6526,630,1985,82,94,5.9,17,17500,59 -"No",19152,12940,4893,66,92,22045,1339,15732,4659,476,1600,90,98,11.5,26,14847,87 -"No",4192,3126,1656,15,45,5887,1254,8828,3474,753,2610,79,91,19,11,6393,53 -"No",1458,874,588,56,86,1846,154,9843,3180,600,1500,74,78,14.6,16,6716,51 -"No",11054,6397,3524,26,55,16502,21836,8949,3744,714,2910,88,90,12.2,37,16122,45 -"No",3844,3383,1669,26,47,7524,804,4916,3810,600,550,81,86,20.3,14,6971,53 -"No",6574,4637,2940,32,62,14782,1583,9057,3485,600,1983,87,87,12.7,15,10145,58 -"No",1877,1826,823,49,77,3926,561,9057,3600,700,1435,88,88,14.4,23,9699,49 -"No",1618,1141,479,18,54,4793,4552,7246,3964,500,4288,71,73,13.4,15,6433,48 -"Yes",452,331,269,17,54,1417,301,6150,3680,550,1200,59,63,16.6,4,5412,52 -"No",1351,892,570,18,78,2385,331,4440,3030,300,600,72,72,18.9,8,5883,51 -"No",6277,6003,3526,33,63,16454,3171,5595,3145,500,2070,86,92,15.1,48,6813,53 -"Yes",1209,750,265,19,54,820,159,11450,5045,900,2500,72,75,11.4,13,9718,64 -"No",9750,7640,2529,24,62,10358,1338,11180,3862,650,2450,89,87,17.5,16,7855,75 -"No",1757,979,394,32,74,2033,1078,5972,3420,600,750,77,83,13,11,7011,37 -"No",14596,5985,3331,75,92,14609,1100,8400,4200,550,1200,88,93,8.9,23,15893,83 -"No",5803,4441,1730,19,62,10099,3255,7248,3109,600,1900,79,91,16.8,7,6227,62 -"No",5191,4134,1500,15,44,7532,1847,8677,3505,600,1300,75,94,15.5,17,7392,53 -"No",6071,3856,1449,15,67,6635,1145,7558,3680,500,1500,82,85,19.1,15,6005,55 -"No",2777,2249,1652,20,54,8334,1435,5634,2703,450,1200,97,97,15.9,16,9424,49 -"No",1800,1253,560,44,85,3876,3588,6634,4360,600,2604,82,85,17.8,14,6104,47 -"No",4418,2737,2049,23,51,14047,5134,4104,3579,450,1700,86,94,22.6,6,5657,35 -"No",5530,4007,1697,12,37,8463,1498,7731,4128,540,2286,75,75,21.5,8,6309,40 -"No",4144,3379,1853,18,52,10135,1448,6197,2930,595,2380,78,82,16.3,26,6333,77 -"Yes",7700,3700,1906,79,96,7671,30,16850,4400,600,1350,96,92,13.1,46,13936,97 -"No",4743,3970,2233,32,63,13436,2582,5173,3526,765,3176,86,90,11.5,11,10244,44 -"No",8631,6732,2546,25,61,11669,1605,10602,3660,570,1530,79,87,19.7,13,8020,54 -"Yes",12394,5232,2464,85,100,9205,531,17020,7270,500,1544,95,96,6.3,38,25765,93 -"No",8586,6383,2503,25,59,13138,4289,10786,4560,400,900,93,93,7.8,10,13789,66 -"Yes",1758,1485,419,27,58,2041,174,12040,4100,600,1100,92,96,13.2,17,9060,72 -"Yes",4044,2826,688,51,83,2738,138,16230,4500,630,1800,79,86,15,17,11217,63 -"No",9643,7751,1968,12,40,8894,2456,10330,5558,500,1250,84,89,16.6,7,9158,63 -"Yes",5892,2718,756,46,72,2854,594,14500,3285,700,1125,75,89,11.7,32,11984,100 -"Yes",8766,5498,1243,56,75,5071,438,17840,6582,500,882,93,99,5.9,23,26037,80 -"Yes",3934,2735,886,40,70,3698,217,13600,5940,630,1820,93,96,15.6,13,10813,66 -"Yes",2306,1721,538,23,48,4309,549,13226,6452,750,2450,86,86,13.6,8,10074,62 -"No",285,280,208,21,43,1140,473,3687,1920,600,1800,67,77,23.6,3,3864,43 -"Yes",4471,2942,910,29,60,3674,493,11584,5986,650,800,83,83,14.1,41,9131,92 -"No",848,560,377,14,24,1855,1412,5800,3066,500,1500,62,62,14.8,3,5035,48 -"No",7693,5815,2328,30,66,12594,3661,8074,3522,495,2941,84,88,16.9,18,8246,63 -"No",7589,4676,1876,29,63,14770,10962,6760,3776,500,2180,84,89,17,7,11020,47 -"Yes",12229,8498,2477,45,71,13259,1429,17230,6482,600,2210,90,94,11.4,10,17007,68 -"No",1401,1239,605,10,34,3716,675,7100,4380,540,2948,63,88,19.4,0,5389,36 -"No",2379,2133,1292,8,25,4283,2973,4973,3192,500,1425,56,65,22,21,4078,38 -"No",2850,2044,1046,20,50,9260,1387,4652,2470,500,500,78,99,18.7,23,5917,45 -"Yes",2057,1807,828,26,53,4106,982,11712,4037,500,800,80,80,13.8,13,8546,89 -"Yes",374,280,185,45,77,995,408,8550,4050,500,1344,75,75,12.6,17,7237,62 -"No",7473,5372,3013,27,53,15749,3237,5764,3262,750,3300,86,92,16.5,22,8612,53 -"No",3281,2559,1448,19,43,10975,8431,4422,2780,500,2850,73,73,21,4,4696,29 -"No",14752,9572,5329,48,85,30017,5189,5130,3309,650,3140,91,99,19.7,11,7837,65 -"No",4217,3100,1686,17,46,9375,5457,4104,5376,452,1200,94,100,25.3,3,4329,50 -"Yes",974,704,290,5,22,1145,39,12520,3860,1300,700,16,59,7.5,9,11641,57 -"Yes",2459,1997,582,36,66,2664,299,16320,5326,646,1171,87,94,11.2,14,13706,65 -"Yes",1445,966,326,46,83,1129,24,15350,4080,450,810,89,93,10.3,52,18784,82 -"Yes",1712,1557,696,41,68,2936,433,11750,4160,1200,2350,94,96,11.5,10,11743,47 -"No",5095,4491,2400,27,53,13894,8374,6857,3975,858,3093,89,93,12.8,9,9275,37 -"No",7663,6008,1735,18,51,7353,1674,15516,4928,500,990,87,90,9.9,10,12646,79 -"No",15849,5384,2678,74,95,11278,114,12212,3792,500,1000,90,92,9.5,22,13597,95 -"No",12749,7025,3343,40,81,20356,4582,8199,4218,708,2172,96,94,9,10,16527,65 -"No",1558,1254,472,20,57,3754,2477,6172,3994,541,1387,83,87,23.4,12,8488,53 -"No",2593,1966,1030,9,32,6038,579,6704,2592,376,1750,78,78,21,17,6254,65 -"No",910,910,342,14,53,1434,417,7032,2780,550,1960,75,81,15.2,15,6490,36 -"No",4400,3719,1472,12,38,7804,1552,6950,2500,300,1200,90,95,23.1,16,5559,67 -"No",2409,1939,759,17,50,3819,1347,6900,2800,475,1200,81,89,22.2,1,5968,46 -"No",14901,10932,4631,36,80,23945,2200,9096,4290,535,1545,93,96,11.5,20,11006,72 -"No",5244,3782,1930,12,37,11561,7443,8786,2964,570,1980,79,87,15.9,8,8094,38 -"No",2029,1516,1073,23,46,7535,1488,5988,3422,600,1500,91,94,15.1,13,8745,45 -"Yes",663,452,192,10,35,1481,1160,8840,3060,500,1000,69,75,17.4,19,3733,78 -"Yes",1399,1026,308,44,77,1131,17,14900,5160,500,800,82,85,11.6,40,12082,79 -"Yes",325,260,86,21,47,699,717,9600,4202,450,750,39,69,10.5,15,7164,68 -"No",368,344,212,5,27,863,189,4286,2570,600,2000,39,41,14.9,25,4958,40 -"Yes",2075,1727,520,49,81,2501,198,11800,3260,500,800,87,89,14.2,23,9681,95 -"Yes",7791,4690,1499,71,92,5500,90,17865,6525,630,952,93,98,5.8,26,23850,83 -"Yes",3550,1877,653,53,87,2164,77,18920,5950,600,800,90,98,9.7,39,17089,90 -"Yes",7759,5588,1477,30,68,6362,1292,15925,6507,400,300,89,90,13.4,24,10458,96 -"No",4963,3497,1567,18,45,10262,5065,10217,4182,500,3630,81,87,8.7,11,11183,45 -"No",2996,2440,704,2,30,3006,338,5587,4845,500,600,61,63,16,11,5733,31 -"No",15712,11719,4277,29,53,18511,604,10260,3176,740,2200,85,89,13.8,20,8944,73 -"Yes",1847,1610,453,19,59,1298,67,7384,3494,500,1763,51,67,13.7,8,6757,30 -"Yes",1470,900,287,20,49,1130,417,10900,5100,500,550,70,81,15.7,14,7804,68 -"Yes",647,518,271,17,43,1014,387,9140,3365,500,2245,51,65,10.7,31,8050,73 -"Yes",1465,1006,188,10,30,703,20,4450,2522,500,1200,43,43,22.9,3,5861,58 -"Yes",800,623,256,41,76,801,5,12925,4195,500,635,78,85,9.9,55,14904,72 -"Yes",1416,1015,417,10,44,1324,117,13500,5800,585,1700,67,78,13.2,23,9006,75 -"Yes",5661,2392,903,75,88,3499,172,13850,4360,500,1250,95,97,4.3,37,41766,89 -"Yes",1092,890,477,27,92,847,497,8670,4180,500,1450,42,58,11.3,33,5738,68 -"Yes",440,311,112,25,49,466,7,10000,3052,400,1100,65,75,11.4,20,9430,63 -"Yes",1231,1074,345,34,66,1295,105,11600,3610,400,850,66,91,12.4,37,7735,67 -"Yes",1305,1100,334,42,64,1098,151,16260,4005,300,500,91,91,12.1,40,10162,86 -"Yes",3315,1096,425,68,93,1584,3,13750,4619,680,1115,81,96,9.6,45,15736,90 -"Yes",1209,942,214,31,60,822,46,15276,5318,500,300,79,86,11.2,37,10830,65 -"No",6540,5839,2440,31,70,14445,1344,8200,4210,800,2719,84,87,16.9,30,10912,56 -"Yes",7654,5259,1254,62,93,4879,1274,18350,5775,768,1512,91,98,3.9,31,45702,90 -"No",1373,1373,724,6,21,2754,474,2700,2660,540,1660,60,68,20.3,29,4550,52 -"Yes",1190,978,324,12,30,1280,61,8840,3620,500,1200,57,58,16.2,26,6563,63 -"Yes",280,143,79,5,27,327,110,5590,2900,650,1952,53,63,15.1,4,4839,90 -"Yes",665,462,226,17,44,1739,1550,9160,4340,500,500,68,68,20.6,14,6951,48 -"Yes",2895,1249,579,80,96,2195,156,18345,5995,500,700,94,98,10.6,51,21409,91 -"Yes",318,240,130,40,85,416,19,14900,5550,600,500,93,98,8.3,42,13935,69 -"Yes",1480,1257,452,6,25,2961,572,9850,6050,850,920,10,68,15.4,8,17858,64 -"Yes",980,807,350,10,25,872,448,9890,4674,500,1350,52,57,14.4,15,6243,84 -"Yes",4772,1973,712,60,86,2714,27,19130,5600,1400,1400,90,94,12.1,39,16262,92 -"No",6502,3539,1372,11,51,7484,1904,7844,4108,400,2000,76,79,15.3,16,6773,52 -"No",1164,1062,478,12,25,2138,227,4470,2890,600,1210,33,33,16.3,10,4249,60 -"Yes",1566,1400,483,28,55,1509,170,14200,3775,450,1100,58,81,16.4,42,8080,67 -"No",3224,2519,1057,11,31,5000,706,6390,2380,110,1622,67,78,14.6,9,6554,55 -"Yes",1205,984,278,31,50,1071,98,14510,5340,500,1400,84,91,12.5,39,10026,60 -"No",9167,7191,2738,24,53,15739,4278,6940,4100,500,1700,80,84,24.7,11,5983,55 -"Yes",1650,1471,409,7,21,1803,1116,8994,5500,498,2065,74,97,15.4,15,8409,59 -"No",2702,1623,604,7,24,2315,146,5918,3755,500,2050,76,79,19.4,4,4599,52 -"No",5548,3563,1549,30,71,8909,506,8124,4144,639,2385,83,89,22.7,10,7203,61 -"No",3100,2150,825,3,20,3234,941,5542,3788,500,1300,75,79,15.7,20,4222,65 -"Yes",662,553,184,20,43,665,37,10720,4050,600,1650,66,70,12.5,20,7925,62 -"Yes",996,866,377,29,58,1411,72,12065,3615,430,685,62,78,12.5,41,8596,80 -"Yes",917,720,213,21,60,979,743,8820,4050,600,2025,68,83,10.5,34,7170,50 -"No",950,713,351,42,72,1276,9,14320,5304,490,1410,77,77,14.9,17,8837,87 -"Yes",1432,920,548,56,84,2200,56,11480,4200,530,1400,81,83,12.7,40,11916,85 -"Yes",1738,1373,417,21,55,1335,30,18460,5970,700,850,92,96,13.2,41,22704,71 -"Yes",903,755,213,15,49,971,305,10500,4545,600,600,66,71,14.1,27,7494,72 -"Yes",1861,998,359,45,77,1220,46,16670,4900,750,800,80,83,10.5,51,13198,72 -"Yes",1681,1069,344,35,63,1235,30,16249,5699,500,1998,84,92,13.6,29,11778,52 -"Yes",1121,926,372,43,70,1270,160,12660,4500,678,2424,80,80,16.9,20,8328,80 -"Yes",2139,1492,502,24,64,2186,2171,12350,5370,500,1350,88,86,12.6,19,9603,63 -"Yes",1631,1431,434,15,36,1803,603,11150,5130,550,1260,78,92,13.3,24,8543,67 -"Yes",1658,1327,395,49,80,1595,159,14800,4620,400,790,91,94,13.3,37,10779,68 -"Yes",663,547,315,32,67,1279,75,10060,2970,500,2600,74,80,11.2,19,7885,59 -"Yes",469,435,227,17,39,851,120,10535,4365,550,3700,39,66,12.9,16,7438,52 -"Yes",4186,1245,526,81,96,1988,29,19629,5790,500,1200,94,99,9,64,22014,99 -"Yes",167,130,46,16,50,199,676,11428,5084,450,475,67,76,8.3,43,10291,67 -"Yes",1239,1017,383,10,34,1207,157,7820,3400,550,1550,69,81,13.9,8,7264,91 -"No",3325,2047,1301,20,45,5800,872,4200,2700,300,1200,53,60,20.2,18,5318,58 -"No",2320,1805,769,24,61,3395,670,6400,3392,580,2150,71,80,12.8,26,6729,59 -"Yes",152,128,75,17,41,282,22,9100,3700,500,1400,48,48,8.5,26,8960,50 -"Yes",1979,1739,575,42,68,1980,144,15948,4404,400,800,82,95,12.8,29,10414,78 -"Yes",1501,935,273,51,83,1059,34,12680,4150,605,1440,91,92,15.3,42,7875,75 -"Yes",2768,2314,682,49,86,2802,86,15884,5370,530,730,92,94,15.2,34,10774,82 -"No",2197,1515,543,4,26,3089,2029,6797,3900,500,1200,60,60,21,14,4469,40 -"Yes",1959,1805,695,24,47,2849,1107,11520,4960,600,1250,73,75,13.3,31,9189,83 -"Yes",2097,1915,695,34,61,2793,166,6900,4200,617,781,67,75,14.4,20,8323,49 -"Yes",10705,2453,1317,95,99,5217,83,19840,6510,630,2115,96,96,5.8,49,40386,99 -"Yes",2989,1855,691,28,63,2988,1726,4990,3560,500,1250,75,75,18.1,28,4509,99 +"","Private","Apps","Accept","Enroll","Top10perc","Top25perc","F.Undergrad","P.Undergrad","Outstate","Room.Board","Books","Personal","PhD","Terminal","S.F.Ratio","perc.alumni","Expend","Grad.Rate" +"Abilene Christian University","Yes",1660,1232,721,23,52,2885,537,7440,3300,450,2200,70,78,18.1,12,7041,60 +"Adelphi University","Yes",2186,1924,512,16,29,2683,1227,12280,6450,750,1500,29,30,12.2,16,10527,56 +"Adrian College","Yes",1428,1097,336,22,50,1036,99,11250,3750,400,1165,53,66,12.9,30,8735,54 +"Agnes Scott College","Yes",417,349,137,60,89,510,63,12960,5450,450,875,92,97,7.7,37,19016,59 +"Alaska Pacific University","Yes",193,146,55,16,44,249,869,7560,4120,800,1500,76,72,11.9,2,10922,15 +"Albertson College","Yes",587,479,158,38,62,678,41,13500,3335,500,675,67,73,9.4,11,9727,55 +"Albertus Magnus College","Yes",353,340,103,17,45,416,230,13290,5720,500,1500,90,93,11.5,26,8861,63 +"Albion College","Yes",1899,1720,489,37,68,1594,32,13868,4826,450,850,89,100,13.7,37,11487,73 +"Albright College","Yes",1038,839,227,30,63,973,306,15595,4400,300,500,79,84,11.3,23,11644,80 +"Alderson-Broaddus College","Yes",582,498,172,21,44,799,78,10468,3380,660,1800,40,41,11.5,15,8991,52 +"Alfred University","Yes",1732,1425,472,37,75,1830,110,16548,5406,500,600,82,88,11.3,31,10932,73 +"Allegheny College","Yes",2652,1900,484,44,77,1707,44,17080,4440,400,600,73,91,9.9,41,11711,76 +"Allentown Coll. of St. Francis de Sales","Yes",1179,780,290,38,64,1130,638,9690,4785,600,1000,60,84,13.3,21,7940,74 +"Alma College","Yes",1267,1080,385,44,73,1306,28,12572,4552,400,400,79,87,15.3,32,9305,68 +"Alverno College","Yes",494,313,157,23,46,1317,1235,8352,3640,650,2449,36,69,11.1,26,8127,55 +"American International College","Yes",1420,1093,220,9,22,1018,287,8700,4780,450,1400,78,84,14.7,19,7355,69 +"Amherst College","Yes",4302,992,418,83,96,1593,5,19760,5300,660,1598,93,98,8.4,63,21424,100 +"Anderson University","Yes",1216,908,423,19,40,1819,281,10100,3520,550,1100,48,61,12.1,14,7994,59 +"Andrews University","Yes",1130,704,322,14,23,1586,326,9996,3090,900,1320,62,66,11.5,18,10908,46 +"Angelo State University","No",3540,2001,1016,24,54,4190,1512,5130,3592,500,2000,60,62,23.1,5,4010,34 +"Antioch University","Yes",713,661,252,25,44,712,23,15476,3336,400,1100,69,82,11.3,35,42926,48 +"Appalachian State University","No",7313,4664,1910,20,63,9940,1035,6806,2540,96,2000,83,96,18.3,14,5854,70 +"Aquinas College","Yes",619,516,219,20,51,1251,767,11208,4124,350,1615,55,65,12.7,25,6584,65 +"Arizona State University Main campus","No",12809,10308,3761,24,49,22593,7585,7434,4850,700,2100,88,93,18.9,5,4602,48 +"Arkansas College (Lyon College)","Yes",708,334,166,46,74,530,182,8644,3922,500,800,79,88,12.6,24,14579,54 +"Arkansas Tech University","No",1734,1729,951,12,52,3602,939,3460,2650,450,1000,57,60,19.6,5,4739,48 +"Assumption College","Yes",2135,1700,491,23,59,1708,689,12000,5920,500,500,93,93,13.8,30,7100,88 +"Auburn University-Main Campus","No",7548,6791,3070,25,57,16262,1716,6300,3933,600,1908,85,91,16.7,18,6642,69 +"Augsburg College","Yes",662,513,257,12,30,2074,726,11902,4372,540,950,65,65,12.8,31,7836,58 +"Augustana College IL","Yes",1879,1658,497,36,69,1950,38,13353,4173,540,821,78,83,12.7,40,9220,71 +"Augustana College","Yes",761,725,306,21,58,1337,300,10990,3244,600,1021,66,70,10.4,30,6871,69 +"Austin College","Yes",948,798,295,42,74,1120,15,11280,4342,400,1150,81,95,13,33,11361,71 +"Averett College","Yes",627,556,172,16,40,777,538,9925,4135,750,1350,59,67,22.4,11,6523,48 +"Baker University","Yes",602,483,206,21,47,958,466,8620,4100,400,2250,58,68,11,21,6136,65 +"Baldwin-Wallace College","Yes",1690,1366,662,30,61,2718,1460,10995,4410,1000,1000,68,74,17.6,20,8086,85 +"Barat College","Yes",261,192,111,15,36,453,266,9690,4300,500,500,57,77,9.7,35,9337,71 +"Bard College","Yes",1910,838,285,50,85,1004,15,19264,6206,750,750,98,98,10.4,30,13894,79 +"Barnard College","Yes",2496,1402,531,53,95,2121,69,17926,8124,600,850,83,93,10.3,33,12580,91 +"Barry University","Yes",990,784,279,18,45,1811,3144,11290,5360,600,1800,76,78,12.6,11,9084,72 +"Baylor University","Yes",6075,5349,2367,34,66,9919,484,6450,3920,600,1346,71,76,18.5,38,7503,72 +"Beaver College","Yes",1163,850,348,23,56,878,519,12850,5400,400,800,78,89,12.2,30,8954,73 +"Bellarmine College","Yes",807,707,308,39,63,1198,605,8840,2950,750,1290,74,82,13.1,31,6668,84 +"Belmont Abbey College","Yes",632,494,129,17,36,709,131,9000,4850,300,2480,78,85,13.2,10,7550,52 +"Belmont University","Yes",1220,974,481,28,67,1964,623,7800,3664,650,900,61,61,11.1,19,7614,49 +"Beloit College","Yes",1320,923,284,26,54,1085,81,16304,3616,355,715,87,95,11.1,26,12957,69 +"Bemidji State University","No",1208,877,546,12,36,3796,824,4425,2700,660,1800,57,62,19.6,16,3752,46 +"Benedictine College","Yes",632,620,222,14,24,702,501,9550,3850,350,250,64,84,14.1,18,5922,58 +"Bennington College","Yes",519,327,114,25,53,457,2,21700,4100,600,500,35,59,10.1,33,16364,55 +"Bentley College","Yes",3466,2330,640,20,60,3095,1533,13800,5510,630,850,87,87,17.5,20,10941,82 +"Berry College","Yes",1858,1221,480,37,68,1620,49,8050,3940,350,2375,80,80,16.3,17,10511,63 +"Bethany College","Yes",878,816,200,16,41,706,62,8740,3363,550,1700,62,68,11.6,29,7718,48 +"Bethel College KS","Yes",202,184,122,19,42,537,101,8540,3580,500,1400,61,80,8.8,32,8324,56 +"Bethel College","Yes",502,384,104,11,28,347,74,6200,2900,600,800,63,63,11.7,13,7623,35 +"Bethune Cookman College","Yes",1646,1150,542,12,30,2128,82,5188,3396,650,2500,48,48,13.8,9,6817,58 +"Birmingham-Southern College","Yes",805,588,287,67,88,1376,207,11660,4325,400,900,74,79,14,34,8649,72 +"Blackburn College","Yes",500,336,156,25,55,421,27,6500,2700,500,1000,76,76,14.3,53,8377,51 +"Bloomsburg Univ. of Pennsylvania","No",6773,3028,1025,15,55,5847,946,7844,2948,500,1680,66,68,18,19,7041,75 +"Bluefield College","Yes",377,358,181,15,30,653,129,7150,4350,450,1500,61,67,17.8,3,6259,53 +"Bluffton College","Yes",692,514,209,20,50,760,81,9900,3990,400,900,76,71,13.3,19,9073,58 +"Boston University","Yes",20192,13007,3810,45,80,14971,3113,18420,6810,475,1025,80,81,11.9,16,16836,72 +"Bowdoin College","Yes",3356,1019,418,76,100,1490,8,19030,5885,1495,875,93,96,11.2,52,20447,96 +"Bowling Green State University","No",9251,7333,3076,14,45,13699,1213,7452,3352,600,1700,81,89,21.1,14,6918,67 +"Bradford College","Yes",443,330,151,5,36,453,42,14080,6270,500,900,57,80,10.2,21,15387,46 +"Bradley University","Yes",3767,3414,1061,30,58,4531,643,10870,4440,2000,1522,75,81,14.4,21,7671,85 +"Brandeis University","Yes",4186,2743,740,48,77,2819,62,19380,6750,410,1000,90,97,9.8,24,17150,84 +"Brenau University","Yes",367,274,158,12,41,917,479,9592,5879,500,700,71,80,13.7,12,5935,49 +"Brewton-Parker College","Yes",1436,1228,1202,10,26,1320,822,4371,2370,500,2000,62,62,12.6,10,4900,18 +"Briar Cliff College","Yes",392,351,155,16,44,738,430,10260,3597,600,1500,39,66,13.1,26,8355,58 +"Bridgewater College","Yes",838,673,292,22,53,881,55,10265,4725,560,875,68,73,13.2,24,8655,82 +"Brigham Young University at Provo","Yes",7365,5402,4615,48,82,27378,1253,2340,3580,860,1220,76,76,20.5,40,7916,33 +"Brown University","Yes",12586,3239,1462,87,95,5643,349,19528,5926,720,1100,99,100,7.6,39,20440,97 +"Bryn Mawr College","Yes",1465,810,313,71,95,1088,16,18165,6750,500,1200,100,100,12.3,49,17449,89 +"Bucknell University","Yes",6548,3813,862,49,85,3316,31,18550,4750,800,1200,95,97,14.2,36,13675,93 +"Buena Vista College","Yes",860,688,285,32,70,1928,442,13306,3797,450,950,62,69,8.8,10,6333,78 +"Butler University","Yes",2362,2037,700,40,68,2607,148,13130,4650,500,1600,77,81,10.9,29,9511,83 +"Cabrini College","Yes",599,494,224,8,28,1035,446,10518,6250,300,300,59,76,16.5,36,7117,71 +"Caldwell College","Yes",1011,604,213,17,42,693,868,8900,4600,425,1000,87,96,13.9,25,7922,55 +"California Lutheran University","Yes",563,247,247,23,52,1427,432,12950,5300,612,576,72,74,12.4,17,8985,60 +"California Polytechnic-San Luis","No",7811,3817,1650,47,73,12911,1404,7380,4877,612,2091,72,81,19.8,13,8453,59 +"California State University at Fresno","No",4540,3294,1483,5,60,13494,1254,7706,4368,600,1926,90,90,21.2,8,7268,61 +"Calvin College","Yes",1784,1512,913,29,56,3401,136,10230,3710,400,1210,75,81,14.8,41,7786,81 +"Campbell University","Yes",2087,1339,657,20,54,3191,1204,7550,2790,600,500,77,77,21.8,34,3739,63 +"Campbellsville College","Yes",848,587,298,25,55,935,184,6060,3070,600,1300,62,66,17.7,13,5391,49 +"Canisius College","Yes",2853,2193,753,16,34,2978,434,10750,5340,400,1130,90,92,14.6,26,7972,64 +"Capital University","Yes",1747,1382,449,34,66,1662,960,13050,4000,500,800,64,69,12.1,27,9557,83 +"Capitol College","Yes",100,90,35,10,52,282,331,8400,2812,300,2134,10,50,12.1,24,7976,52 +"Carleton College","Yes",2694,1579,489,75,93,1870,12,19292,3957,550,550,81,93,10.4,60,17960,91 +"Carnegie Mellon University","Yes",8728,5201,1191,60,89,4265,291,17900,5690,450,1250,86,93,9.2,31,24386,74 +"Carroll College","Yes",1160,991,352,19,55,1357,737,12200,3880,480,930,74,81,17.8,25,7666,79 +"Carson-Newman College","Yes",1096,951,464,27,62,1776,239,8150,3150,400,500,61,62,13.6,16,6716,67 +"Carthage College","Yes",1616,1427,434,20,43,1405,580,13125,3775,500,1300,74,89,15.9,22,7364,62 +"Case Western Reserve University","Yes",3877,3156,713,71,93,3051,513,15700,4730,525,1460,95,95,2.9,29,19733,67 +"Castleton State College","No",1257,940,363,9,22,1547,294,7656,4690,400,700,89,91,14.7,8,6318,79 +"Catawba College","Yes",1083,880,291,13,34,915,80,9270,4100,600,1860,75,82,13.5,27,8425,55 +"Catholic University of America","Yes",1754,1465,505,24,49,2159,211,13712,6408,526,1100,90,96,9.3,18,12751,75 +"Cazenovia College","Yes",3847,3433,527,9,35,1010,12,9384,4840,600,500,22,47,14.3,20,7697,118 +"Cedar Crest College","Yes",776,607,198,25,58,791,764,14340,5285,500,1000,58,83,11.7,39,10961,74 +"Cedarville College","Yes",1307,1090,616,25,55,2196,82,7344,4410,570,1000,50,52,15.3,34,6897,64 +"Centenary College","Yes",369,312,90,12,46,396,526,11400,5400,500,760,41,85,9.5,20,9583,24 +"Centenary College of Louisiana","Yes",495,434,210,35,55,775,44,8950,3490,600,1900,86,92,11.3,25,9685,66 +"Center for Creative Studies","Yes",601,396,203,1,20,525,323,11230,6643,2340,620,8,58,6.8,4,13025,47 +"Central College","Yes",1283,1113,401,31,65,1355,40,10938,3660,650,600,76,90,13.5,29,8444,67 +"Central Connecticut State University","No",4158,2532,902,6,24,6394,3881,5962,4444,500,985,69,73,16.7,4,4900,49 +"Central Missouri State University","No",4681,4101,1436,10,35,8094,1596,4620,3288,300,2250,69,80,19.7,4,5501,50 +"Central Washington University","No",2785,2011,1007,8,65,6507,898,7242,3603,654,1416,67,89,18.1,0,6413,51 +"Central Wesleyan College","Yes",174,146,88,8,29,1047,33,8300,3080,600,600,62,62,15.2,18,3365,58 +"Centre College","Yes",1013,888,288,55,82,943,7,11850,4270,600,900,95,99,11.4,60,13118,74 +"Chapman University","Yes",959,771,351,23,48,1662,209,16624,5895,600,1100,72,80,12.8,6,12692,47 +"Chatham College","Yes",212,197,91,28,56,471,148,13500,5230,400,850,95,98,9.3,37,16095,52 +"Chestnut Hill College","Yes",342,254,126,25,64,518,232,10335,5015,700,850,71,71,8.3,29,7729,73 +"Christendom College","Yes",81,72,51,33,71,139,3,8730,3600,400,800,92,92,9.3,17,10922,58 +"Christian Brothers University","Yes",880,520,224,16,42,1068,364,9300,3260,600,900,81,81,11.1,24,8129,63 +"Christopher Newport University","No",883,766,428,3,37,2910,1749,7860,4750,525,1889,80,82,21.2,16,4639,48 +"Claflin College","Yes",1196,697,499,21,47,959,13,4412,2460,500,1000,69,69,16.9,31,7083,21 +"Claremont McKenna College","Yes",1860,767,227,71,93,887,1,17000,6010,500,850,99,99,9.6,52,18443,87 +"Clark University","Yes",2887,2059,457,30,61,1928,296,17500,4200,500,950,94,95,10.5,35,11951,79 +"Clarke College","Yes",460,340,167,14,45,604,350,10740,3676,350,900,67,71,11,27,7963,74 +"Clarkson University","Yes",2174,1953,557,35,68,2332,53,15960,5580,700,1300,95,95,15.8,32,11659,77 +"Clemson University","No",8065,5257,2301,37,65,11755,770,8116,3610,800,1618,82,88,18,17,7597,73 +"Clinch Valley Coll. of the Univ. of Virginia","No",689,561,250,15,30,1125,422,7168,3689,600,1900,67,67,18.1,9,4417,46 +"Coe College","Yes",1006,742,275,29,60,1127,205,13925,4390,500,2200,73,86,12.7,32,10141,67 +"Coker College","Yes",604,452,295,15,47,690,222,9888,4502,400,1000,64,77,12.1,39,8741,75 +"Colby College","Yes",2848,1319,456,58,84,1720,35,18930,5590,500,1000,83,94,10.2,41,15954,91 +"Colgate University","Yes",4856,2492,727,46,75,2649,25,19510,5565,500,750,95,98,10.5,45,15494,93 +"College Misericordia","Yes",1432,888,317,29,58,1121,493,10860,5760,550,900,56,62,12.9,23,8604,96 +"College of Charleston","No",4772,3140,1265,22,55,6851,1200,6120,3460,666,2316,73,78,17.2,18,4776,51 +"College of Mount St. Joseph","Yes",798,620,238,14,41,1165,1232,9800,4430,400,1150,46,46,11.1,35,6889,100 +"College of Mount St. Vincent","Yes",946,648,177,23,46,707,432,11790,5770,500,1000,75,77,11.9,35,10015,83 +"College of Notre Dame","Yes",344,264,97,11,42,500,331,12600,5520,630,2250,77,80,10.4,7,9773,43 +"College of Notre Dame of Maryland","Yes",457,356,177,35,61,667,1983,11180,5620,600,700,64,64,11.5,32,7477,75 +"College of Saint Benedict","Yes",938,864,511,29,62,1715,103,12247,4221,500,600,70,88,13.1,26,8847,72 +"College of Saint Catherine","Yes",511,411,186,23,51,1692,562,12224,4440,450,1000,63,87,11.5,32,7315,77 +"College of Saint Elizabeth","Yes",444,359,122,34,53,493,968,10900,5250,380,1000,68,70,11.4,23,9447,78 +"College of Saint Rose","Yes",983,664,249,23,57,1698,894,9990,5666,800,1500,66,71,14.3,28,6084,64 +"College of Santa Fe","Yes",546,447,189,16,42,873,683,11138,4138,600,1200,40,74,14,7,8820,80 +"College of St. Joseph","Yes",141,118,55,12,21,201,173,8300,4850,450,1300,53,53,9.5,19,6936,76 +"College of St. Scholastica","Yes",672,596,278,29,60,1350,275,11844,3696,450,1146,54,76,11.6,33,8996,72 +"College of the Holy Cross","Yes",2994,1691,659,70,95,2675,22,18000,6300,400,900,92,96,11.3,55,12138,95 +"College of William and Mary","No",7117,3106,1217,68,88,5186,134,11720,4298,600,800,89,92,12.1,31,9534,93 +"College of Wooster","Yes",2100,1883,553,29,65,1704,1,16240,4690,500,500,84,96,11.1,43,14140,69 +"Colorado College","Yes",3207,1577,490,56,87,1892,7,17142,4190,450,1200,85,97,11.3,51,14664,84 +"Colorado State University","No",9478,6312,2194,29,65,15646,1829,8412,4180,470,1800,87,89,19.2,10,7850,59 +"Columbia College MO","Yes",314,158,132,10,28,690,5346,8294,3700,400,900,87,87,15.3,2,5015,37 +"Columbia College","Yes",737,614,242,21,67,968,237,10425,3975,500,1500,61,77,14.7,34,8693,76 +"Columbia University","Yes",6756,1930,871,78,96,3376,55,18624,6664,550,300,97,98,5.9,21,30639,99 +"Concordia College at St. Paul","Yes",281,266,139,13,29,1049,181,10500,3750,450,950,69,75,12.8,18,6955,45 +"Concordia Lutheran College","Yes",232,216,106,16,34,534,172,6900,3800,450,1825,67,76,12.1,9,6875,42 +"Concordia University CA","Yes",688,497,144,30,75,641,101,10800,4440,570,1515,55,60,13.1,13,8415,55 +"Concordia University","Yes",528,403,186,22,56,1168,145,9216,4191,400,1000,56,64,12.1,13,7309,75 +"Connecticut College","Yes",3035,1546,438,42,93,1630,232,18740,6300,600,500,86,95,10.7,40,14773,91 +"Converse College","Yes",440,407,149,35,70,643,80,12050,3700,500,900,63,76,10.2,31,10965,75 +"Cornell College","Yes",1538,1329,383,33,68,1140,10,15248,4323,550,800,71,76,12.2,31,10340,64 +"Creighton University","Yes",2967,2836,876,30,60,3450,644,10628,4372,650,2055,85,90,6.5,32,22906,85 +"Culver-Stockton College","Yes",1576,1110,274,24,55,992,112,8000,3700,400,500,51,52,14.1,28,5807,51 +"Cumberland College","Yes",995,789,398,26,47,1306,122,6230,3526,400,600,42,44,13,4,8189,63 +"D'Youville College","Yes",866,619,157,18,47,1074,336,8920,4310,680,1320,68,68,14.6,42,6898,46 +"Dana College","Yes",504,482,185,10,36,550,84,9130,3322,450,1450,46,51,12.6,25,8686,54 +"Daniel Webster College","Yes",585,508,153,12,30,460,536,12292,4934,500,500,61,61,22.2,10,8643,72 +"Dartmouth College","Yes",8587,2273,1087,87,99,3918,32,19545,6070,550,1100,95,99,4.7,49,29619,98 +"Davidson College","Yes",2373,956,452,77,96,1601,6,17295,5070,600,1011,95,97,12,46,17581,94 +"Defiance College","Yes",571,461,174,10,26,645,283,10850,3670,400,1159,58,60,12.8,19,7505,56 +"Delta State University","No",967,945,459,15,48,2806,538,4528,1880,500,1200,49,63,17.1,16,5113,58 +"Denison University","Yes",2762,2279,533,32,60,1835,14,16900,4720,500,600,88,97,11.6,45,12423,81 +"DePauw University","Yes",1994,1656,495,50,80,1983,36,14300,5020,550,950,78,94,11.1,31,11525,82 +"Dickinson College","Yes",3014,2539,487,31,68,1889,62,18700,5000,595,1250,87,94,11.2,39,13861,87 +"Dickinson State University","No",434,412,319,10,30,1376,237,4486,2146,600,2000,50,64,16.5,28,4525,46 +"Dillard University","Yes",1998,1376,651,41,88,1539,45,6700,3650,500,2307,52,52,14.1,12,7566,61 +"Doane College","Yes",793,709,244,20,47,1022,411,9570,3000,400,1000,67,72,15.1,42,6852,60 +"Dominican College of Blauvelt","Yes",360,329,108,4,19,756,863,8310,5500,600,1800,43,43,12.7,5,5480,54 +"Dordt College","Yes",604,562,328,25,50,1048,56,9800,2650,450,2800,61,60,12.5,17,7325,87 +"Dowling College","Yes",1011,829,410,9,33,1059,2458,9000,3100,450,1413,77,78,12.4,7,11178,42 +"Drake University","Yes",2799,2573,839,34,65,3322,726,13420,4770,560,1675,88,93,15,24,9473,77 +"Drew University","Yes",2153,1580,321,56,84,1192,87,18432,5616,520,660,93,97,10.2,28,14907,83 +"Drury College","Yes",700,650,314,33,66,1065,48,8730,3523,500,750,82,92,13.2,35,9303,67 +"Duke University","Yes",13789,3893,1583,90,98,6188,53,18590,5950,625,1162,95,96,5,44,27206,97 +"Earlham College","Yes",1358,1006,274,35,63,1028,13,15036,4056,600,600,90,94,10.6,46,14634,78 +"East Carolina University","No",9274,6362,2435,14,44,13171,1687,7248,3240,500,1700,74,78,13.2,18,9002,58 +"East Tennessee State University","No",3330,2730,1303,15,36,6706,2640,5800,3000,600,2200,73,75,14,9,9825,42 +"East Texas Baptist University","Yes",379,341,265,10,36,1050,151,4950,2780,530,1500,62,62,15.7,7,5619,38 +"Eastern College","Yes",458,369,165,16,42,1057,355,11190,4800,450,1230,60,60,13.6,22,8135,54 +"Eastern Connecticut State University","No",2172,1493,564,14,50,2766,1531,5962,4316,650,500,71,76,16.9,14,5719,50 +"Eastern Illinois University","No",5597,4253,1565,12,38,9161,845,5710,3066,120,1730,62,71,16.2,5,5682,76 +"Eastern Mennonite College","Yes",486,440,227,19,48,903,59,9650,3800,600,1300,46,65,11.4,29,10188,82 +"Eastern Nazarene College","Yes",516,409,200,17,40,1238,30,8770,3500,450,700,58,58,17.3,17,6430,70 +"Eckerd College","Yes",1422,1109,366,33,65,1363,23,15360,4080,600,1000,82,89,12.8,26,15003,59 +"Elizabethtown College","Yes",2417,1843,426,36,70,1476,299,14190,4400,500,750,65,68,12.8,25,9815,81 +"Elmira College","Yes",1457,1045,345,27,50,1109,502,14990,4980,450,550,77,98,21.5,21,7502,64 +"Elms College","Yes",245,208,125,23,46,544,436,11800,4765,450,1700,71,71,11.3,21,8952,86 +"Elon College","Yes",3624,2786,858,11,39,2933,334,9100,3883,490,1777,70,74,18.9,34,6329,63 +"Embry Riddle Aeronautical University","Yes",3151,2584,958,14,40,4772,856,7800,3750,570,3020,37,43,16.5,4,12878,44 +"Emory & Henry College","Yes",765,646,226,30,60,809,32,8578,4408,700,1600,79,88,13.9,51,8061,82 +"Emory University","Yes",8506,4168,1236,76,97,5544,192,17600,6000,600,870,97,98,5,28,28457,96 +"Emporia State University","No",1256,1256,853,43,79,3957,588,5401,3144,450,1888,72,75,19.3,4,5527,50 +"Erskine College","Yes",659,557,167,47,74,532,35,10485,3840,475,1246,76,80,13.5,47,7527,67 +"Eureka College","Yes",560,454,113,36,56,484,16,10955,3450,330,670,62,87,10.6,31,9552,53 +"Evergreen State College","No",1801,1101,438,14,50,3065,363,6297,4600,600,1323,75,78,18.1,14,8355,68 +"Fairfield University","Yes",4784,3346,781,30,66,2984,1037,15000,6200,700,1100,86,90,15.1,30,11220,94 +"Fayetteville State University","No",1455,1064,452,1,16,2632,617,6806,2550,350,766,75,75,15.1,10,6972,24 +"Ferrum College","Yes",1339,1107,336,12,36,1051,82,9400,4200,500,1600,53,58,12.5,9,7967,22 +"Flagler College","Yes",1415,714,338,18,52,1345,44,5120,3200,500,2140,52,60,18.1,9,3930,69 +"Florida Institute of Technology","Yes",1947,1580,523,39,74,1863,233,13900,4140,750,1500,90,90,10.6,7,8923,57 +"Florida International University","No",3306,2079,1071,42,89,10208,9310,6597,2494,800,3028,81,96,13.9,20,6722,66 +"Florida Southern College","Yes",1381,1040,374,20,44,1506,970,8025,4865,400,650,65,74,17.4,10,6339,68 +"Florida State University","No",11651,8683,3023,50,90,18906,3242,6680,4060,600,1020,80,89,23.1,15,7250,58 +"Fontbonne College","Yes",291,245,126,16,49,981,337,8390,4100,350,1500,45,55,21.5,24,4607,62 +"Fordham University","Yes",4200,2874,942,30,55,4740,1646,14235,6965,600,1735,86,97,14.4,14,10864,80 +"Fort Lewis College","No",3440,2823,1123,16,35,3793,486,6198,3320,500,2500,89,97,19.1,6,4362,46 +"Francis Marion University","No",1801,1655,819,13,38,3224,436,5840,3138,400,2430,76,76,19.1,8,5039,43 +"Franciscan University of Steubenville","Yes",553,452,228,22,49,1301,242,9650,4400,600,1000,57,69,14.9,8,6336,83 +"Franklin College","Yes",804,632,281,29,72,840,68,10390,4040,525,1345,54,78,12.5,37,11751,60 +"Franklin Pierce College","Yes",5187,4471,446,3,14,1818,1197,13320,4630,500,800,50,56,17.6,16,6418,51 +"Freed-Hardeman University","Yes",895,548,314,20,54,1174,50,5500,3340,600,1600,68,76,16.1,13,6078,62 +"Fresno Pacific College","Yes",346,274,146,51,87,704,63,9900,3670,630,1818,59,59,10.5,14,8095,54 +"Furman University","Yes",2161,1951,685,56,82,2371,175,13440,4048,600,1250,92,95,13.5,28,12940,82 +"Gannon University","Yes",2464,1908,678,24,57,2693,691,10970,4280,500,1380,47,51,13.3,18,7711,65 +"Gardner Webb University","Yes",1110,930,332,18,36,1603,374,8180,4270,500,500,65,58,15.2,12,5664,29 +"Geneva College","Yes",668,534,237,19,39,1306,258,9476,4820,500,1100,67,67,20.1,26,6786,74 +"George Fox College","Yes",809,726,294,27,52,1271,43,12500,4130,400,1050,53,53,13.5,22,7136,52 +"George Mason University","No",5653,4326,1727,17,29,9528,3822,10800,4840,580,1050,93,96,19.3,7,6751,46 +"George Washington University","Yes",7875,5062,1492,38,71,5471,1470,17450,6328,700,950,92,93,7.6,15,14745,72 +"Georgetown College","Yes",727,693,286,30,55,1063,48,8100,3950,550,550,73,76,13.3,28,7508,55 +"Georgetown University","Yes",11115,2881,1390,71,93,5881,406,18300,7131,670,1700,91,92,7.2,27,19635,95 +"Georgia Institute of Technology","No",7837,4527,2276,89,99,8528,654,6489,4438,795,1164,92,92,19.3,33,11271,70 +"Georgia State University","No",3793,2341,1238,9,24,7732,9054,6744,2655,720,3450,87,89,19,10,7762,34 +"Georgian Court College","Yes",348,281,127,12,52,1095,785,9150,3950,500,800,56,59,12.2,27,7348,76 +"Gettysburg College","Yes",3596,2466,575,42,78,1944,46,19964,4328,500,500,94,95,12.1,32,14720,83 +"Goldey Beacom College","Yes",633,468,284,10,27,823,963,6120,2985,531,1830,25,25,27.6,4,6081,36 +"Gonzaga University","Yes",1886,1524,526,31,67,2523,296,13000,4450,600,2400,78,90,14.7,32,9553,69 +"Gordon College","Yes",674,565,282,25,54,1151,39,12200,4070,400,1200,73,82,14.2,32,9226,66 +"Goshen College","Yes",440,396,221,26,51,910,166,9420,3730,600,1230,51,56,9.9,46,10270,72 +"Goucher College","Yes",1151,813,248,40,64,850,80,15588,6174,500,1200,78,90,9.2,34,16623,77 +"Grace College and Seminary","Yes",548,428,167,18,46,618,113,8958,3670,300,1000,53,59,15.3,26,9798,64 +"Graceland College","Yes",555,414,242,14,41,996,2281,9100,3100,550,880,51,61,23.6,24,5609,47 +"Grand Valley State University","No",5165,3887,1561,20,60,8234,2619,6108,3800,500,1000,64,66,20.6,9,5063,57 +"Green Mountain College","Yes",780,628,198,7,20,545,42,11750,2700,400,850,77,83,14,24,6475,76 +"Greensboro College","Yes",608,494,176,10,31,649,314,8330,3770,550,1300,64,80,13,31,7949,39 +"Greenville College","Yes",510,387,194,20,46,771,53,10310,4530,400,800,57,61,14.3,16,8222,60 +"Grinnell College","Yes",2039,1389,432,56,91,1333,30,15688,4618,400,400,88,92,9.5,54,18979,83 +"Grove City College","Yes",2491,1110,573,57,88,2213,35,5224,3048,525,350,65,65,18.4,18,4957,100 +"Guilford College","Yes",1202,1054,326,18,44,1410,299,13404,5160,450,1050,78,86,15.6,30,9114,65 +"Gustavus Adolphus College","Yes",1709,1385,634,36,72,2281,50,14125,3600,400,700,79,89,12.5,58,9907,80 +"Gwynedd Mercy College","Yes",380,237,104,30,56,716,1108,11000,5550,500,500,36,41,7.8,22,7483,96 +"Hamilton College","Yes",3140,1783,454,40,82,1646,24,19700,5050,300,800,91,96,9.6,60,17761,91 +"Hamline University","Yes",1006,825,328,34,73,1362,102,13252,4194,450,550,89,93,13,33,10296,65 +"Hampden - Sydney College","Yes",817,644,307,20,40,945,1,13218,4773,660,600,95,97,13.3,53,12263,69 +"Hampton University","Yes",7178,3755,1433,25,63,4623,740,7161,3518,600,2000,60,64,14,9,6791,70 +"Hanover College","Yes",1006,837,317,33,65,1024,15,8200,3485,500,1200,84,84,10.6,26,9248,64 +"Hardin-Simmons University","Yes",467,424,350,16,40,1365,334,6300,2980,700,2140,75,79,13.7,10,7054,38 +"Harding University","Yes",1721,1068,806,35,75,3128,213,5504,3528,700,910,71,77,17.7,37,6466,73 +"Hartwick College","Yes",2083,1725,430,22,49,1464,67,17480,4780,500,700,75,87,12.3,32,11625,73 +"Harvard University","Yes",13865,2165,1606,90,100,6862,320,18485,6410,500,1920,97,97,9.9,52,37219,100 +"Harvey Mudd College","Yes",1377,572,178,95,100,654,5,17230,6690,700,900,100,100,8.2,46,21569,100 +"Hastings College","Yes",817,708,262,22,52,935,37,9376,3272,500,1902,57,63,13,17,7335,52 +"Hendrix College","Yes",823,721,274,52,87,954,6,8800,3195,500,1200,82,99,13.1,26,8588,63 +"Hillsdale College","Yes",920,745,347,35,66,1133,42,11090,4700,400,750,80,80,12,31,12639,79 +"Hiram College","Yes",922,729,244,37,66,1000,275,14067,4560,400,1000,75,95,10.6,34,12165,79 +"Hobart and William Smith Colleges","Yes",2688,2081,500,25,53,1792,5,19029,5841,600,600,99,99,12.1,37,13040,79 +"Hofstra University","Yes",7428,5860,1349,25,63,6534,1350,11600,5920,1000,1000,81,90,13.9,10,10093,60 +"Hollins College","Yes",602,498,215,26,58,795,74,13470,5515,500,850,78,91,11.1,48,13957,72 +"Hood College","Yes",699,565,176,36,64,710,399,13960,6040,450,690,82,88,14.4,34,12434,72 +"Hope College","Yes",1712,1483,624,37,69,2505,208,12275,4341,465,1100,72,81,12.5,40,9284,72 +"Houghton College","Yes",949,786,302,30,70,1210,26,9990,3550,500,1500,85,90,15,24,8187,67 +"Huntingdon College","Yes",608,520,127,26,47,538,126,8080,3920,500,1100,63,72,11.4,9,7703,44 +"Huntington College","Yes",450,430,125,20,46,488,43,9950,3920,300,1300,76,76,11.8,25,9466,47 +"Huron University","Yes",600,197,124,3,9,392,69,7260,3090,600,1840,31,35,12.9,4,9249,21 +"Husson College","Yes",723,652,361,10,30,951,706,7800,4000,350,1500,36,44,22,4,4923,84 +"Illinois Benedictine College","Yes",607,558,269,22,47,1222,519,10500,4348,650,1500,81,91,11.6,29,8324,75 +"Illinois College","Yes",894,787,262,28,63,909,28,8050,3850,600,1000,75,75,15.6,30,7348,52 +"Illinois Institute of Technology","Yes",1756,1360,478,42,77,1911,626,14550,4620,500,700,80,88,12.3,26,12851,56 +"Illinois State University","No",8681,6695,2408,10,35,15701,1823,7799,3403,537,2605,77,84,21,16,5569,54 +"Illinois Wesleyan University","Yes",3050,1342,471,55,86,1818,23,14360,4090,400,650,77,92,12.9,34,9605,83 +"Immaculata College","Yes",268,253,103,16,44,494,1305,10000,5364,500,1000,56,64,11.2,33,7305,69 +"Incarnate Word College","Yes",1163,927,386,16,49,1685,556,8840,4689,750,2775,67,69,11.4,21,6095,95 +"Indiana State University","No",5659,4761,3147,10,31,8596,1949,6892,3706,600,2500,72,76,16.6,8,6996,40 +"Indiana University at Bloomington","No",16587,13243,5873,25,72,24763,2717,9766,3990,600,2000,77,88,21.3,24,8686,68 +"Indiana Wesleyan University","Yes",735,423,366,20,48,2448,707,9210,3782,700,1000,49,51,39.8,15,6562,34 +"Iona College","Yes",4892,3530,913,13,33,3906,1446,10690,6790,570,1150,66,83,16,14,8107,66 +"Iowa State University","No",8427,7424,3441,26,59,18676,1715,7550,3224,640,2055,81,88,19.2,22,8420,65 +"Ithaca College","Yes",7259,5526,1368,23,52,5612,166,14424,6192,634,1000,58,79,11.5,25,9812,75 +"James Madison University","No",11223,5285,2082,32,72,9652,742,7994,4544,500,732,77,81,17.9,29,5212,98 +"Jamestown College","Yes",472,410,262,14,41,9950,71,7620,3050,400,400,51,53,17,21,3186,54 +"Jersey City State College","No",2957,1423,691,10,30,3817,1394,3946,4800,400,1500,63,67,14.9,10,8367,26 +"John Brown University","Yes",605,405,284,24,53,961,99,6398,3672,400,1350,68,68,13.3,19,8118,75 +"John Carroll University","Yes",2421,2109,820,27,57,3168,392,11700,5550,600,450,89,90,14.5,28,7738,89 +"Johns Hopkins University","Yes",8474,3446,911,75,94,3566,1569,18800,6740,500,1040,96,97,3.3,38,56233,90 +"Johnson State College","No",833,669,279,3,13,1224,345,7656,4690,500,624,80,91,14.4,15,6564,36 +"Judson College","Yes",313,228,137,10,30,552,67,9414,4554,500,1700,34,55,10.6,30,7840,56 +"Juniata College","Yes",1005,859,298,36,55,1075,43,14850,4460,450,420,97,97,12.7,37,12067,80 +"Kansas State University","No",5880,4075,2833,25,55,14914,2246,6995,3120,600,2000,76,86,18.5,22,6122,54 +"Kansas Wesleyan University","Yes",589,575,148,16,40,474,258,8400,3250,500,1400,63,55,12.4,14,6535,68 +"Keene State College","No",3121,2446,822,5,19,3480,776,7870,4157,500,1150,73,73,16.1,13,6195,61 +"Kentucky Wesleyan College","Yes",584,497,175,20,49,662,121,8000,4150,500,1300,57,65,11.3,32,7058,62 +"Kenyon College","Yes",2212,1538,408,44,75,1445,1,19240,3690,750,480,95,95,11.1,46,14067,88 +"Keuka College","Yes",461,381,174,10,43,738,55,9600,4550,600,750,55,94,13.3,43,7863,51 +"King's College","Yes",1456,1053,381,20,45,500,541,10910,5160,400,1795,66,72,15.6,37,7649,87 +"King College","Yes",355,300,142,34,65,509,44,8664,3350,600,3000,65,68,10.7,25,8954,65 +"Knox College","Yes",1040,845,286,48,77,967,24,15747,4062,400,800,88,95,12.7,33,13224,79 +"La Roche College","Yes",361,321,185,10,41,650,819,8842,4782,600,1100,57,73,14.2,14,7022,52 +"La Salle University","Yes",2929,1834,622,20,56,2738,1662,12600,5610,450,3160,90,90,15.1,9,9084,84 +"Lafayette College","Yes",4010,2402,572,36,59,2018,226,18730,5740,600,1000,93,96,10.5,38,15365,92 +"LaGrange College","Yes",544,399,177,15,35,600,363,6987,3585,750,1500,77,83,12.5,12,9067,75 +"Lake Forest College","Yes",979,638,271,31,70,968,20,16880,3970,920,1320,91,94,10.7,19,15687,77 +"Lakeland College","Yes",497,452,231,24,47,887,1957,9400,4005,500,1000,49,65,17.2,25,4054,57 +"Lamar University","No",2336,1725,1043,10,27,5438,4058,4752,3040,508,1463,48,82,18.4,12,5879,26 +"Lambuth University","Yes",831,538,224,15,35,840,325,5170,3430,600,1590,61,61,16.1,10,5531,60 +"Lander University","No",1166,1009,510,9,33,2074,341,4938,2987,528,1702,67,77,17,11,6119,51 +"Lawrence University","Yes",1243,947,324,50,77,1129,74,17163,3891,525,975,76,92,10.1,57,13965,77 +"Le Moyne College","Yes",1470,1199,425,21,76,1820,558,11040,4840,400,900,89,92,13.3,28,8118,94 +"Lebanon Valley College","Yes",1386,1060,320,28,56,965,502,13850,4755,400,1125,84,84,12.3,30,8196,85 +"Lehigh University","Yes",6397,4304,1092,40,84,4298,132,18700,5580,750,1130,96,99,12.5,43,14665,91 +"Lenoir-Rhyne College","Yes",979,743,259,25,46,1188,166,10100,4000,400,1000,88,92,12,20,8539,66 +"Lesley College","Yes",244,198,82,12,33,1134,336,11700,5300,550,805,71,88,27.8,18,8694,58 +"LeTourneau University","Yes",477,417,204,29,54,1532,77,8840,4240,600,1400,58,70,20.8,23,6863,56 +"Lewis and Clark College","Yes",2774,2092,482,35,64,1763,59,15800,4790,450,950,97,98,12.3,21,12999,69 +"Lewis University","Yes",1154,1050,395,12,31,2192,1423,10560,4520,500,1200,36,48,14.3,10,7701,61 +"Lincoln Memorial University","Yes",787,562,363,21,55,925,605,5950,2890,600,1300,67,72,14.6,35,5177,53 +"Lincoln University","No",1660,1091,326,15,41,1196,33,4818,3400,350,1400,71,72,12.6,8,10912,45 +"Lindenwood College","Yes",810,484,356,6,33,2155,191,9200,4800,1000,4200,65,85,24.1,9,3480,100 +"Linfield College","Yes",1561,1188,458,48,72,1548,840,13380,4210,500,900,89,91,17.8,34,8747,81 +"Livingstone College","Yes",900,473,217,22,47,621,11,4400,3400,800,900,53,93,10.4,16,9268,92 +"Lock Haven University of Pennsylvania","No",3570,2215,651,17,41,3390,325,7352,3620,225,500,47,55,16.1,14,6374,63 +"Longwood College","No",2747,1870,724,12,47,2874,118,7920,3962,550,2200,74,80,18.4,23,5553,62 +"Loras College","Yes",1641,1283,527,20,39,1663,170,11200,4000,500,1200,61,62,14.2,24,7578,70 +"Louisiana College","Yes",2013,1053,212,33,61,912,158,5150,3036,500,1655,64,74,10.5,11,7547,59 +"Louisiana State University at Baton Rouge","No",5996,4993,3079,29,57,16269,3757,5925,2980,600,2242,83,87,15.9,11,6741,37 +"Louisiana Tech University","No",2397,2144,1525,22,45,6720,1822,3957,2325,618,1656,66,77,20,13,4546,45 +"Loyola College","Yes",4076,3137,738,25,54,3010,184,12990,6300,600,900,86,88,14.7,27,9448,80 +"Loyola Marymount University","Yes",3768,2662,753,42,64,3558,436,13592,5916,545,1328,84,88,14.2,10,11677,84 +"Loyola University","Yes",1891,1698,719,24,80,2740,761,11100,5870,600,750,77,88,11.7,14,9456,53 +"Loyola University Chicago","Yes",3579,2959,868,25,55,5244,3417,11500,5330,700,2000,94,95,6.2,15,13009,65 +"Luther College","Yes",1549,1392,587,38,72,2269,85,13240,3560,600,400,73,85,13.8,38,8949,77 +"Lycoming College","Yes",1286,1005,363,16,37,1363,74,13900,4300,500,900,75,81,14,32,8024,72 +"Lynchburg College","Yes",1756,1500,366,3,21,1524,280,12450,5400,450,870,62,66,12.4,24,8832,70 +"Lyndon State College","No",535,502,223,6,20,959,150,7320,4640,500,600,48,65,12.6,15,7114,51 +"Macalester College","Yes",2939,1496,452,56,86,1723,113,15909,4772,500,700,85,91,11.9,37,14213,77 +"MacMurray College","Yes",740,558,177,12,29,628,63,9620,3750,550,950,49,55,10.8,33,10642,59 +"Malone College","Yes",874,758,428,21,46,1605,246,9858,3700,450,1200,42,45,17.6,16,4796,55 +"Manchester College","Yes",1004,802,239,23,63,909,51,10440,3850,525,1450,63,72,11.8,20,7940,64 +"Manhattan College","Yes",2432,1730,563,20,63,2578,254,12370,6800,500,1800,92,92,13.6,25,10062,79 +"Manhattanville College","Yes",962,750,212,21,54,830,150,14700,6550,450,400,97,97,11.3,24,11291,70 +"Mankato State University","No",3073,2672,1547,9,29,9649,1792,4300,2643,450,1660,57,68,19,11,5801,68 +"Marian College of Fond du Lac","Yes",824,670,337,15,41,1160,653,9400,3400,500,1100,37,37,8.4,21,5352,59 +"Marietta College","Yes",1611,960,342,27,60,1089,210,13850,3920,470,810,80,97,13.2,30,10223,96 +"Marist College","Yes",4731,3171,830,12,31,3557,658,10700,5925,550,1200,74,81,17.6,34,8408,69 +"Marquette University","Yes",5152,4600,1685,36,71,7016,804,11610,4760,600,1950,86,94,13.5,25,9982,77 +"Marshall University","Yes",4226,3666,2007,14,60,7703,2339,5094,4010,700,1560,77,86,16.6,10,6203,50 +"Mary Baldwin College","Yes",499,441,199,26,52,846,377,11200,7400,600,1300,66,79,6.8,50,10819,90 +"Mary Washington College","No",4350,2178,756,39,78,2997,736,6490,4942,650,2102,75,80,17.6,30,5358,84 +"Marymount College Tarrytown","Yes",478,327,117,9,34,731,370,11510,6450,575,1075,71,93,10.3,30,10502,77 +"Marymount Manhattan College","Yes",695,535,239,21,30,988,785,10200,7000,350,1100,63,76,11.7,20,10622,68 +"Marymount University","Yes",941,772,214,10,30,1247,776,11390,5280,500,750,77,82,10.6,17,8575,55 +"Maryville College","Yes",1464,888,176,26,52,624,128,11200,4208,500,1642,80,90,11.1,43,8317,51 +"Maryville University","Yes",549,397,169,26,51,1343,1751,9250,4550,425,1350,52,58,13.1,13,5925,61 +"Marywood College","Yes",1107,859,323,13,51,1452,402,11040,4500,600,700,65,76,11.8,30,9034,66 +"Massachusetts Institute of Technology","Yes",6411,2140,1078,96,99,4481,28,20100,5975,725,1600,99,99,10.1,35,33541,94 +"Mayville State University","No",233,233,153,5,12,658,58,4486,2516,600,1900,68,68,15.7,11,6971,51 +"McKendree College","Yes",1002,555,119,16,43,836,684,7680,3740,500,800,70,74,17.7,21,6652,52 +"McMurry University","Yes",578,411,187,25,50,880,477,6930,3452,400,1525,57,64,11,11,6383,32 +"McPherson College","Yes",420,293,93,11,32,336,80,7950,3750,600,2740,54,54,9.8,45,9754,48 +"Mercer University","Yes",2286,1668,564,37,70,2943,1260,11985,4081,400,1500,93,95,9.2,15,8995,91 +"Mercyhurst College","Yes",1557,1074,397,15,40,1805,433,9813,4050,425,1000,45,63,16.7,29,7307,78 +"Meredith College","Yes",857,772,376,25,58,1721,470,6720,3250,450,1520,77,82,13.9,33,6881,82 +"Merrimack College","Yes",1981,1541,514,18,36,1927,1084,12500,6200,375,1000,73,75,16.8,22,8707,80 +"Mesa State College","No",1584,1456,891,6,18,3471,911,5016,3798,540,2256,48,48,28.8,12,3871,59 +"Messiah College","Yes",1742,1382,607,30,64,2258,53,10300,5080,475,1200,68,75,14.1,30,7762,89 +"Miami University at Oxford","No",9239,7788,3290,35,39,13606,807,8856,3960,500,1382,81,89,17.6,20,7846,85 +"Michigan State University","No",18114,15096,6180,23,57,26640,4120,10658,3734,504,600,93,95,14,9,10520,71 +"Michigan Technological University","No",2618,2288,1032,42,77,5524,414,8127,3978,900,1200,82,82,17,25,7473,65 +"MidAmerica Nazarene College","Yes",331,331,225,15,36,1100,166,6840,3720,1100,4913,33,33,15.4,20,5524,49 +"Millersville University of Penn.","No",6011,3075,960,22,60,5146,1532,7844,3830,450,1258,72,74,16.8,20,7832,71 +"Milligan College","Yes",610,461,189,26,52,685,49,8200,3300,550,1000,63,69,12,16,8128,64 +"Millikin University","Yes",1444,1261,456,29,62,1788,95,11910,4378,450,965,60,77,11.4,25,8149,75 +"Millsaps College","Yes",905,834,319,32,61,1073,179,11320,4402,550,1350,82,89,12.7,38,11218,58 +"Milwaukee School of Engineering","Yes",1217,1088,496,36,69,1773,884,11505,3255,1000,2075,35,46,16.7,23,7140,67 +"Mississippi College","Yes",594,385,307,36,57,1695,721,5580,2830,600,700,77,79,16.5,18,6170,61 +"Mississippi State University","No",4255,3277,1609,18,57,10094,1621,9866,3084,480,1479,77,77,15.9,20,6223,53 +"Mississippi University for Women","No",480,405,380,19,46,1673,1014,4386,2217,600,1500,49,54,15.8,8,5704,63 +"Missouri Southern State College","No",1576,1326,913,13,50,3689,2200,3840,2852,200,400,52,54,20.3,9,4172,100 +"Missouri Valley College","Yes",1310,983,316,5,35,1057,175,8550,5050,400,900,35,67,17.4,16,4333,27 +"Monmouth College IL","Yes",601,503,204,28,57,671,11,13000,4100,400,460,91,91,11.6,43,11087,56 +"Monmouth College","Yes",2707,1881,478,14,34,1893,847,12480,5290,530,1740,70,85,14.2,15,9492,54 +"Montana College of Mineral Sci. & Tech.","No",572,544,320,45,72,1470,416,6073,3400,550,1400,71,71,16.4,31,6112,74 +"Montana State University","No",3500,2836,1779,15,42,8730,993,5552,3710,550,2300,75,83,17.6,8,6324,37 +"Montclair State University","No",5220,2128,865,19,53,6411,3186,3648,4834,700,950,82,87,21.5,9,6717,58 +"Montreat-Anderson College","Yes",263,223,103,10,24,316,20,8438,3372,500,2958,42,50,11.1,4,11989,15 +"Moorhead State University","No",2442,2164,1189,12,37,5983,1075,4426,2664,600,1000,76,81,18.1,19,4795,60 +"Moravian College","Yes",1232,955,303,23,58,1241,485,14990,4730,550,1250,86,92,15.2,28,9566,74 +"Morehouse College","Yes",3708,1678,722,41,66,2852,153,7050,5490,250,600,71,74,17.8,10,8122,83 +"Morningside College","Yes",586,533,239,16,36,950,228,10520,3678,500,1000,48,68,13,32,8111,56 +"Morris College","Yes",882,730,330,2,13,926,12,4515,2550,850,2100,53,60,18.6,34,6990,60 +"Mount Holyoke College","Yes",1800,1314,526,47,79,1891,40,19300,5700,750,750,79,91,9,51,18359,84 +"Mount Marty College","Yes",279,276,126,17,37,600,435,6844,2980,500,500,45,55,11.7,38,5073,44 +"Mount Mary College","Yes",235,217,121,12,32,931,487,8950,3119,550,1125,51,51,10.7,26,7016,78 +"Mount Mercy College","Yes",368,317,159,20,49,806,542,10500,3555,500,2285,44,50,11.3,30,6695,64 +"Mount Saint Clare College","Yes",325,284,95,16,33,364,88,9900,3650,500,1200,32,37,13.6,43,6525,21 +"Mount Saint Mary's College","Yes",1321,1159,328,15,36,1243,79,12850,6200,550,900,77,82,12.8,36,8536,80 +"Mount Saint Mary College","Yes",1170,695,238,14,48,1170,429,7470,4600,250,1400,74,75,15.3,23,6898,88 +"Mount St. Mary's College","Yes",657,537,113,37,90,1039,466,12474,5678,630,1278,53,71,11.9,19,10613,72 +"Mount Union College","Yes",1310,1086,458,26,61,1365,144,12250,3530,400,1150,85,87,16.7,35,7215,81 +"Mount Vernon Nazarene College","Yes",510,485,334,18,36,1114,94,7400,3346,600,600,57,57,19.8,7,6869,58 +"Muhlenberg College","Yes",2519,1836,462,30,61,1656,352,16975,4565,600,850,76,86,12.8,39,10888,83 +"Murray State University","No",2225,1910,1190,29,55,5968,955,4738,3110,700,940,72,76,20.2,27,5972,52 +"Muskingum College","Yes",1109,922,375,24,46,1115,70,13240,3914,600,800,73,85,13.4,27,9333,73 +"National-Louis University","Yes",513,347,279,23,48,2508,505,9090,4500,650,500,62,65,18.3,2,7905,71 +"Nazareth College of Rochester","Yes",947,798,266,36,68,1274,471,10850,5150,550,800,77,93,13.6,24,8797,61 +"New Jersey Institute of Technology","No",1879,1216,483,27,62,3311,1646,8832,5376,700,1850,92,98,13.5,19,12529,72 +"New Mexico Institute of Mining and Tech.","No",787,601,233,40,73,1017,411,5376,3214,600,1100,99,100,13.7,11,9241,34 +"New York University","Yes",13594,7244,2505,70,86,12408,2814,17748,7262,450,1000,87,98,7.8,16,21227,71 +"Newberry College","Yes",872,722,154,14,36,601,36,10194,2600,500,1500,57,63,11.4,32,5788,83 +"Niagara University","Yes",2220,1796,467,65,99,1919,334,10320,4762,450,650,68,100,14.2,20,7788,65 +"North Adams State College","No",1563,1005,240,1,19,1380,136,5542,4330,500,1000,65,71,14.2,17,6562,57 +"North Carolina A. & T. State University","No",4809,3089,1429,12,33,6162,871,6806,1780,600,1651,72,72,16.7,9,7090,44 +"North Carolina State University at Raleigh","No",10634,7064,3176,39,78,16505,5481,8400,6540,600,1300,92,98,17.5,21,9670,62 +"North Carolina Wesleyan College","Yes",812,689,195,7,24,646,84,8242,4230,600,1295,77,77,12.7,11,10090,52 +"North Central College","Yes",1127,884,308,30,64,1310,766,11718,7398,450,1800,73,87,16.4,33,8871,76 +"North Dakota State University","No",2968,2297,1610,13,47,7368,1128,5834,2744,600,2000,79,83,17,24,6310,42 +"North Park College","Yes",465,361,176,19,39,879,156,12580,4345,400,970,76,79,13.1,24,10889,74 +"Northeast Missouri State University","No",6040,4577,1620,36,72,5640,266,4856,3416,400,1100,69,72,15.7,13,6601,76 +"Northeastern University","Yes",11901,8492,2517,16,42,11160,10221,13380,7425,600,1750,73,82,12.9,17,9563,46 +"Northern Arizona University","No",5891,4931,1973,23,48,11249,2682,6746,3728,620,2342,78,83,21.7,7,6157,41 +"Northern Illinois University","No",10706,7219,2397,12,37,14826,1979,7799,3296,470,1750,73,78,17.3,11,6086,56 +"Northwest Missouri State University","No",2729,2535,1257,8,29,4787,472,3735,3136,250,1630,62,65,21.7,23,5284,54 +"Northwest Nazarene College","Yes",616,514,385,29,52,1115,60,9840,2820,450,822,59,59,14.8,20,6261,58 +"Northwestern College","Yes",860,811,366,22,56,1040,52,9900,3075,300,1800,68,68,14.9,34,6357,68 +"Northwestern University","Yes",12289,5200,1902,85,98,7450,45,16404,5520,759,1585,96,100,6.8,25,26385,92 +"Norwich University","Yes",1743,1625,626,8,29,1862,382,14134,5270,500,800,71,74,13.1,22,9209,63 +"Notre Dame College","Yes",379,324,107,15,37,500,311,9990,4900,400,600,44,47,12.1,26,4948,33 +"Oakland University","No",3041,2581,1173,16,56,6441,3982,9114,4030,400,650,88,90,19.7,13,6637,53 +"Oberlin College","Yes",4778,2767,678,50,89,2587,120,19670,5820,575,1119,77,96,10.1,47,16593,83 +"Occidental College","Yes",2324,1319,370,52,81,1686,35,16560,5140,558,1152,91,93,10.5,30,16196,79 +"Oglethorpe University","Yes",792,649,186,56,87,769,377,12900,4340,600,4110,91,95,13.1,27,8568,67 +"Ohio Northern University","Yes",2936,2342,669,35,62,2502,66,15990,4080,600,825,73,78,14.5,31,9979,83 +"Ohio University","No",11023,8298,3183,21,54,14861,1310,7629,4095,550,2300,79,87,20.4,13,8811,64 +"Ohio Wesleyan University","Yes",2190,1700,458,36,65,1780,48,16732,5650,550,550,93,93,12.1,32,12011,75 +"Oklahoma Baptist University","Yes",758,681,484,35,59,1707,705,5390,3140,515,1290,63,71,15.1,18,5511,50 +"Oklahoma Christian University","Yes",776,765,351,22,44,1419,228,6400,3150,500,1900,58,64,16.2,8,6578,45 +"Oklahoma State University","No",4522,3913,2181,29,57,12830,1658,5336,3344,800,3100,84,92,15.3,14,6433,48 +"Otterbein College","Yes",1496,1205,428,26,57,1648,936,12888,4440,420,840,62,68,13.9,30,8802,87 +"Ouachita Baptist University","Yes",910,773,450,31,73,1310,61,6530,2800,500,1500,63,67,13.3,10,6413,65 +"Our Lady of the Lake University","Yes",2308,1336,295,22,46,1202,942,8530,3644,616,1576,56,64,14.9,25,7114,37 +"Pace University","Yes",8256,3750,1522,37,70,5809,4379,11000,5160,660,1115,90,95,13.8,10,10059,62 +"Pacific Lutheran University","Yes",1603,1392,504,31,68,2580,302,13312,4488,600,1516,78,78,11,23,9431,83 +"Pacific Union College","Yes",940,668,385,20,48,1316,139,11925,3825,630,1926,48,87,12.3,12,9157,69 +"Pacific University","Yes",943,849,288,41,71,1041,35,14210,3994,450,1100,76,76,10.9,22,11216,42 +"Pembroke State University","No",944,774,440,14,34,2174,529,6360,2760,550,1498,77,77,15,5,6443,48 +"Pennsylvania State Univ. Main Campus","No",19315,10344,3450,48,93,28938,2025,10645,4060,512,2394,77,96,18.1,19,8992,63 +"Pepperdine University","Yes",3821,2037,680,86,96,2488,625,18200,6770,500,700,95,98,11.6,13,16185,66 +"Peru State College","No",701,501,458,10,40,959,457,2580,2624,500,900,48,100,20.1,24,4870,44 +"Pfeiffer College","Yes",838,651,159,11,25,654,162,8640,3700,400,1915,62,62,12.2,13,7634,48 +"Philadelphia Coll. of Textiles and Sci.","Yes",1538,1259,468,19,42,1664,1042,11690,5062,600,1664,48,80,12.9,15,8028,68 +"Phillips University","Yes",692,576,174,19,50,597,83,10500,3860,600,940,58,64,11.6,19,8990,39 +"Piedmont College","Yes",663,562,127,20,40,641,63,5640,3620,600,750,89,89,13.2,17,7309,31 +"Pikeville College","Yes",404,400,169,28,48,797,100,6000,3000,500,500,48,57,13.4,14,5557,61 +"Pitzer College","Yes",1133,630,220,37,73,750,30,17688,5900,650,850,100,100,10.4,11,14820,73 +"Point Loma Nazarene College","Yes",809,687,428,20,43,1889,217,10178,4190,800,750,71,71,16.1,19,7895,54 +"Point Park College","Yes",875,744,207,7,38,1173,1402,9700,4830,400,1200,45,90,14.5,10,7652,66 +"Polytechnic University","Yes",1132,847,302,58,89,1379,214,16200,4200,436,2486,90,90,10.4,14,14329,62 +"Prairie View A. and M. University","No",2405,2234,1061,10,22,4564,448,4290,3500,598,1582,55,93,19.4,1,5967,35 +"Presbyterian College","Yes",1082,832,302,34,63,1133,30,11859,3635,554,1429,80,85,13.4,42,8354,85 +"Princeton University","Yes",13218,2042,1153,90,98,4540,146,19900,5910,675,1575,91,96,8.4,54,28320,99 +"Providence College","Yes",5139,3346,973,20,55,3717,1358,14400,6200,450,1100,66,74,18.4,35,8135,96 +"Purdue University at West Lafayette","No",21804,18744,5874,29,60,26213,4065,9556,3990,570,1060,86,86,18.2,15,8604,67 +"Queens College","Yes",516,392,154,32,62,630,549,11020,4970,610,1900,73,75,14,36,9315,58 +"Quincy University","Yes",1025,707,297,22,66,1070,72,10100,4140,450,1080,69,71,16.3,32,6880,80 +"Quinnipiac College","Yes",3712,2153,806,17,45,2677,714,12030,6140,1000,500,63,73,12,33,8847,86 +"Radford University","No",5702,4894,1742,15,37,8077,472,6684,4110,500,900,73,83,19.6,9,4519,62 +"Ramapo College of New Jersey","No",2088,957,362,6,29,2745,1938,4449,4860,600,1655,74,95,17.8,8,7333,47 +"Randolph-Macon College","Yes",1771,1325,306,21,46,1071,27,13840,3735,400,900,77,80,10.7,38,11080,74 +"Randolph-Macon Woman's College","Yes",696,616,169,35,66,653,56,13970,6110,370,920,88,97,9.2,24,16358,68 +"Reed College","Yes",1966,1436,327,47,80,1199,61,19960,5490,500,450,90,90,11.8,37,15886,68 +"Regis College","Yes",427,385,143,18,38,581,533,12700,5800,450,700,81,85,10.3,37,11758,84 +"Rensselaer Polytechnic Institute","Yes",4996,4165,936,53,82,4291,16,17475,5976,1230,1100,94,98,15.4,21,15605,70 +"Rhodes College","Yes",2302,1831,391,58,82,1345,59,15200,4768,550,1500,90,96,10.8,47,13388,77 +"Rider University","Yes",3586,2424,730,16,31,2748,1309,13250,5420,700,3100,84,92,12.3,23,11299,70 +"Ripon College","Yes",587,501,211,28,52,735,28,15200,4100,350,650,87,90,9.4,49,12472,64 +"Rivier College","Yes",484,386,141,6,28,590,1196,9870,4860,600,1100,59,59,12.2,19,6744,81 +"Roanoke College","Yes",2227,1790,437,27,54,1460,239,13425,4425,450,1200,85,89,13,26,9405,72 +"Rockhurst College","Yes",935,858,345,22,50,1127,754,9490,4100,500,1500,60,79,10.7,21,7519,79 +"Rocky Mountain College","Yes",560,392,270,11,31,743,118,8734,3362,600,625,56,78,11.3,27,6422,68 +"Roger Williams University","Yes",3304,2804,679,10,20,2111,1489,12520,6050,500,730,44,54,16.4,8,7957,61 +"Rollins College","Yes",1777,1151,382,31,55,1668,1052,16425,5220,955,750,81,85,13.3,23,11561,90 +"Rosary College","Yes",434,321,141,28,53,624,269,10950,4600,550,950,79,82,12.9,30,9264,81 +"Rowan College of New Jersey","No",3820,1431,695,21,70,5303,3942,4356,4830,800,800,76,81,22.1,6,7252,51 +"Rutgers at New Brunswick","No",48094,26330,4520,36,79,21401,3712,7410,4748,690,2009,90,95,19.5,19,10474,77 +"Rutgers State University at Camden","No",3366,1752,232,27,79,2585,1300,7411,4748,690,2009,90,95,18.6,12,10134,57 +"Rutgers State University at Newark","No",5785,2690,499,26,62,4005,1886,7410,4748,690,2009,90,95,17.4,16,11878,58 +"Sacred Heart University","Yes",2307,1896,509,19,51,1707,1889,11070,5780,400,600,71,73,14.8,16,7120,82 +"Saint Ambrose University","Yes",897,718,276,12,48,1345,390,10450,4020,500,1500,56,56,14.1,16,7444,70 +"Saint Anselm College","Yes",2095,1553,514,15,40,1873,94,12950,5400,450,1120,70,82,14.5,29,6719,97 +"Saint Cloud State University","No",3971,3306,1921,10,34,11493,2206,4259,2625,350,1884,70,75,18.9,10,4629,58 +"Saint Francis College IN","Yes",213,166,85,13,36,513,247,8670,3820,450,1000,43,78,12.5,4,7440,48 +"Saint Francis College","Yes",1046,824,284,21,45,1223,451,10880,5050,400,1235,64,64,19.3,24,7344,69 +"Saint John's University","Yes",933,800,444,18,45,1691,72,12247,4081,500,600,76,85,12,38,9853,70 +"Saint Joseph's College IN","Yes",920,684,225,24,42,815,222,11200,4250,600,950,55,60,14.8,19,7360,67 +"Saint Joseph's College","Yes",833,682,217,12,33,716,2196,9985,5180,500,800,53,89,27.2,8,4322,85 +"Saint Joseph's University","Yes",2519,2003,776,39,71,2473,1314,12750,6350,350,1690,84,90,17.4,13,8243,83 +"Saint Joseph College","Yes",292,241,96,20,52,543,712,12200,4600,650,950,87,90,11.2,32,8680,76 +"Saint Louis University","Yes",3294,2855,956,44,67,4576,1140,11690,4730,800,6800,84,94,4.6,19,18367,67 +"Saint Mary's College","Yes",888,734,393,26,60,1433,27,12730,4514,500,1525,74,95,9.9,31,11165,98 +"Saint Mary's College of Minnesota","Yes",876,802,367,14,35,1263,118,10800,3600,400,820,68,74,18.8,19,5081,78 +"Saint Mary-of-the-Woods College","Yes",150,130,88,23,50,341,768,10300,4130,500,1700,44,58,10.2,37,9678,75 +"Saint Michael's College","Yes",1910,1380,463,16,64,1715,106,13030,5860,500,750,79,88,14.5,34,10190,84 +"Saint Olaf College","Yes",2248,1673,745,38,73,2888,105,14350,3750,550,550,82,88,10,31,12502,83 +"Saint Peter's College","Yes",1606,1413,530,23,38,1921,1154,9408,5520,500,450,78,78,12.1,22,7669,53 +"Saint Vincent College","Yes",700,595,278,19,35,1035,182,10850,3936,500,900,62,64,12.3,31,8534,88 +"Saint Xavier University","Yes",785,647,295,15,65,1670,726,10860,4624,600,794,87,100,13.7,15,8953,55 +"Salem-Teikyo University","Yes",489,384,120,23,52,700,45,10575,3952,400,620,46,24,13,9,8946,98 +"Salem College","Yes",335,284,132,28,69,534,216,10475,6300,500,2000,68,68,11.2,46,9599,60 +"Salisbury State University","No",4216,2290,736,20,52,4296,1027,5130,4690,600,1450,73,75,17.9,18,5125,56 +"Samford University","Yes",1680,1395,691,34,76,2959,402,8236,3700,569,1650,74,75,14.7,17,9533,61 +"San Diego State University","No",9402,7020,2151,20,70,16407,5550,8384,5110,612,2400,87,93,19.5,7,7930,41 +"Santa Clara University","Yes",4019,2779,888,40,73,3891,128,13584,5928,630,1278,88,92,13.9,19,10872,100 +"Sarah Lawrence College","Yes",1380,768,263,57,82,1000,105,19300,6694,600,700,89,93,6.1,18,14779,83 +"Savannah Coll. of Art and Design","Yes",1109,688,386,20,65,1897,208,8325,5000,1200,1600,14,98,16.1,26,6874,55 +"Schreiner College","Yes",584,413,131,19,51,521,99,8955,5900,500,1488,51,56,11.8,23,8545,52 +"Scripps College","Yes",855,632,139,60,83,569,7,17238,7350,600,800,95,100,8.2,41,18372,73 +"Seattle Pacific University","Yes",1183,1016,411,42,82,1922,704,12669,4875,600,1250,83,85,16.8,20,10368,66 +"Seattle University","Yes",2115,1540,494,28,72,2993,347,12825,4375,500,1500,85,85,12.2,16,10175,89 +"Seton Hall University","Yes",4576,3565,1000,16,36,4384,1530,12000,6484,650,1000,81,84,14.4,15,10080,64 +"Seton Hill College","Yes",936,794,197,24,56,752,210,11240,4180,350,2000,71,71,11.2,37,10065,71 +"Shippensburg University of Penn.","No",5818,3281,1116,14,53,5268,300,7844,3504,450,1700,80,83,18.8,13,6719,72 +"Shorter College","Yes",540,445,165,23,70,1115,111,7210,3600,500,2000,62,65,13.2,18,7356,58 +"Siena College","Yes",2961,1932,628,24,68,2669,616,10800,5100,575,1090,71,82,14.1,42,8189,100 +"Siena Heights College","Yes",464,419,183,10,31,686,287,9240,3880,475,1090,29,49,7.2,17,9431,47 +"Simmons College","Yes",1003,782,295,23,53,1144,160,16160,6950,500,1200,74,81,8.9,33,14086,79 +"Simpson College","Yes",1016,872,300,27,57,1116,602,11250,4980,550,1400,66,73,15.8,36,7411,70 +"Sioux Falls College","Yes",437,400,211,13,35,614,271,8990,3064,500,1700,73,73,14.8,7,7881,48 +"Skidmore College","Yes",4293,2728,591,25,62,2322,263,18710,5970,500,700,87,92,12.7,29,14837,81 +"Smith College","Yes",2925,1598,632,51,88,2479,95,18820,6390,500,1050,85,97,10.3,44,21199,90 +"South Dakota State University","No",2807,2589,1701,13,37,7000,1103,3811,2190,500,1970,62,65,15,29,5084,67 +"Southeast Missouri State University","No",2281,1870,1408,18,43,6553,1246,4680,3540,200,2150,75,76,17.1,8,5916,45 +"Southeastern Oklahoma State Univ.","No",818,700,447,20,50,2962,651,3738,2619,450,1022,55,59,19.6,9,4444,53 +"Southern California College","Yes",385,340,193,18,38,784,127,9520,4124,630,1818,63,65,18.6,11,8219,43 +"Southern Illinois University at Edwardsville","No",2540,2195,994,13,40,6063,2550,5472,3598,221,2216,76,81,16.5,8,7498,43 +"Southern Methodist University","Yes",4301,3455,1166,41,69,4892,387,12772,5078,576,1802,74,88,13.5,17,12726,72 +"Southwest Baptist University","Yes",1093,1093,642,12,32,1770,967,7070,2500,400,1000,52,54,15.9,13,4718,71 +"Southwest Missouri State University","No",6118,5254,3204,15,37,13131,3374,4740,2590,500,1360,70,75,19.9,11,4632,56 +"Southwest State University","No",1047,938,511,13,33,2091,546,4285,2750,600,1800,58,75,16.5,31,6591,51 +"Southwestern Adventist College","Yes",321,318,172,11,27,620,280,7536,3736,430,1651,44,77,13,12,5309,36 +"Southwestern College","Yes",213,155,75,28,66,504,147,7200,3532,550,1500,56,56,11.8,12,7818,52 +"Southwestern University","Yes",1244,912,352,44,77,1177,43,11850,4675,600,1050,83,89,11.3,35,12995,67 +"Spalding University","Yes",283,201,97,10,45,589,263,8400,2800,600,900,50,56,10.6,40,6860,89 +"Spelman College","Yes",3713,1237,443,47,83,1971,107,7000,5565,660,2400,73,80,12.5,18,9988,65 +"Spring Arbor College","Yes",372,362,181,15,32,1501,353,8600,3550,385,665,48,48,15.4,9,10938,49 +"St. Bonaventure University","Yes",1489,1313,375,13,45,1688,131,10456,4927,500,1050,91,91,17.7,32,9828,78 +"St. John's College","Yes",323,278,122,31,51,393,4,16150,5450,275,800,63,72,7.2,26,15622,64 +"St. John Fisher College","Yes",1368,1064,354,19,51,1687,677,10570,5600,400,800,86,81,14.5,29,7908,66 +"St. Lawrence University","Yes",2753,1820,505,31,56,1801,45,18720,5730,650,825,90,94,11.5,38,14980,85 +"St. Martin's College","Yes",191,165,63,5,25,494,574,11550,4270,300,500,43,77,14.5,8,9209,40 +"St. Mary's College of California","Yes",2643,1611,465,36,80,2615,248,13332,6354,630,1584,88,89,16.1,17,9619,78 +"St. Mary's College of Maryland","No",1340,695,285,42,73,1315,209,6800,4730,675,1250,84,89,11.6,23,10357,63 +"St. Mary's University of San Antonio","Yes",1243,1020,414,33,60,2149,418,8678,3858,700,1736,82,83,16.2,7,7651,72 +"St. Norbert College","Yes",1334,1243,568,30,56,1946,95,12140,4450,425,1100,74,78,15.1,36,8595,88 +"St. Paul's College","Yes",651,581,243,8,17,617,34,5000,3650,600,600,45,45,14,8,8426,45 +"St. Thomas Aquinas College","Yes",861,609,215,10,27,1117,815,8650,5700,500,1750,69,73,16.1,13,6534,67 +"Stephens College","Yes",450,405,194,17,34,614,388,13900,5200,450,2150,46,63,10.9,17,9995,59 +"Stetson University","Yes",1557,1227,489,37,69,1964,81,12315,4565,600,1365,85,90,12.5,24,10307,73 +"Stevens Institute of Technology","Yes",1768,1249,380,51,93,1263,11,16900,5680,450,750,89,89,19,33,12837,79 +"Stockton College of New Jersey","No",4019,1579,710,23,65,4365,765,3040,4351,711,1125,78,92,19.5,7,5599,64 +"Stonehill College","Yes",3646,2300,585,25,69,2022,926,12170,6172,480,800,79,79,13,30,7495,97 +"SUNY at Albany","No",13528,9198,1843,16,61,10168,1231,6550,4355,700,1560,93,96,17.4,16,9075,74 +"SUNY at Binghamton","No",14463,6166,1757,60,94,8544,671,6550,4598,700,1000,83,100,18,15,8055,80 +"SUNY at Buffalo","No",15039,9649,3087,36,100,13963,3124,6550,4731,708,957,90,97,13.6,15,11177,56 +"SUNY at Stony Brook","No",12512,6969,1724,27,66,9744,1351,6550,4712,600,1200,91,96,10.5,7,13705,57 +"SUNY College at Brockport","No",7294,3564,904,7,34,5758,1363,6550,4460,500,705,79,83,19,14,6632,49 +"SUNY College at Oswego","No",8000,4556,1464,17,70,6943,869,6550,4810,500,1500,69,85,22,21,5280,63 +"SUNY College at Buffalo","No",5318,3515,1025,8,29,7626,2091,6550,4040,550,1230,71,78,18.7,12,7511,42 +"SUNY College at Cortland","No",7888,3519,1036,6,40,5011,346,6550,4680,630,1274,82,85,17.8,17,5563,53 +"SUNY College at Fredonia","No",4877,2798,814,13,48,4123,298,6550,4420,620,1481,82,90,16.3,10,6442,66 +"SUNY College at Geneseo","No",8598,4562,1143,56,93,5060,146,6550,4170,600,650,79,84,19.1,25,5716,76 +"SUNY College at New Paltz","No",8399,3609,656,19,53,4658,1478,6550,4240,550,1500,85,93,15.3,8,6608,53 +"SUNY College at Plattsburgh","No",5549,3583,853,9,40,5004,475,6550,4176,600,1380,80,90,17.9,16,6174,65 +"SUNY College at Potsdam","No",3150,2289,650,16,51,3598,234,6840,4660,500,1000,71,75,15.1,17,6436,59 +"SUNY College at Purchase","No",2119,1264,390,5,33,2478,1441,6550,4760,1125,1362,80,100,14.9,8,8170,46 +"Susquehanna University","Yes",2096,1512,465,27,59,1442,166,16130,4710,400,800,83,86,13.9,37,10554,90 +"Sweet Briar College","Yes",462,402,146,36,68,527,41,14500,6000,500,600,91,99,6.5,48,18953,61 +"Syracuse University","Yes",10477,7260,2442,28,67,10142,117,15150,6870,635,960,73,84,11.3,13,14231,67 +"Tabor College","Yes",257,183,109,19,41,396,38,7850,3410,400,1500,55,70,10,15,7233,53 +"Talladega College","Yes",4414,1500,335,30,60,908,119,5666,2964,1000,1400,56,58,15.5,7,5970,46 +"Taylor University","Yes",1769,1092,437,41,80,1757,81,10965,4000,450,1250,60,61,14.2,32,8294,98 +"Tennessee Wesleyan College","Yes",232,182,99,7,29,402,237,7070,3640,400,3158,59,65,8.9,16,6286,36 +"Texas A&M Univ. at College Station","No",14474,10519,6392,49,85,31643,2798,5130,3412,600,2144,89,91,23.1,29,8471,69 +"Texas A&M University at Galveston","No",529,481,243,22,47,1206,134,4860,3122,600,650,103,88,17.4,16,6415,43 +"Texas Christian University","Yes",4095,3079,1195,33,64,5064,660,8490,3320,650,2400,81,93,14.8,23,9158,64 +"Texas Lutheran College","Yes",497,423,215,27,57,895,429,7850,3410,490,1700,54,58,13.8,24,7002,50 +"Texas Southern University","No",4345,3245,2604,15,85,5584,3101,7860,3360,600,1700,65,75,18.2,21,3605,10 +"Texas Wesleyan University","Yes",592,501,279,19,44,1204,392,6400,3484,600,1800,80,83,14.5,10,7936,43 +"The Citadel","No",1500,1242,611,12,36,2024,292,7070,2439,400,779,95,94,17.1,17,7744,84 +"Thiel College","Yes",1154,951,253,15,31,791,140,11172,4958,700,1350,68,76,11.6,16,9186,60 +"Tiffin University","Yes",845,734,254,5,21,662,351,7600,3800,600,1200,59,74,19,40,5096,39 +"Transylvania University","Yes",759,729,244,57,81,867,51,10900,4450,500,1000,81,91,12.1,41,10219,70 +"Trenton State College","No",5042,2312,944,55,94,5167,902,5391,5411,700,1000,81,87,14.4,6,8504,81 +"Tri-State University","Yes",1262,1102,276,14,40,978,98,9456,4350,468,1323,53,53,12.8,24,7603,65 +"Trinity College CT","Yes",3058,1798,478,46,84,1737,244,18810,5690,500,680,91,96,10.4,48,18034,91 +"Trinity College DC","Yes",247,189,100,19,49,309,639,11412,6430,500,900,89,93,8.3,37,11806,96 +"Trinity College VT","Yes",222,185,91,16,41,484,541,11010,5208,550,500,58,78,10.4,26,9586,78 +"Trinity University","Yes",2425,1818,601,62,93,2110,95,12240,5150,500,490,94,96,9.6,20,14703,93 +"Tulane University","Yes",7033,5125,1223,47,75,4941,1534,19040,5950,350,800,98,98,9.1,21,16920,74 +"Tusculum College","Yes",626,372,145,12,34,983,40,7700,3400,450,800,70,70,21.9,28,4933,52 +"Tuskegee University","Yes",2267,1827,611,20,59,2825,144,6735,3395,600,1425,70,74,12.2,7,10872,65 +"Union College KY","Yes",484,384,177,9,45,634,78,7800,2950,500,600,60,88,14.1,9,6864,64 +"Union College NY","Yes",3495,1712,528,49,84,1915,123,18732,6204,450,1024,94,96,11.5,49,15411,88 +"Univ. of Wisconsin at OshKosh","No",4800,2900,1515,14,48,7764,1472,6874,2394,518,1890,73,78,19.2,14,5901,56 +"University of Alabama at Birmingham","No",1797,1260,938,24,35,6960,4698,4440,5175,750,2200,96,96,6.7,16,16352,33 +"University of Arkansas at Fayetteville","No",3235,3108,2133,25,65,9978,1530,5028,3300,500,2000,73,89,14.8,10,6820,39 +"University of California at Berkeley","No",19873,8252,3215,95,100,19532,2061,11648,6246,636,1933,93,97,15.8,10,13919,78 +"University of California at Irvine","No",15698,10775,2478,85,100,12677,864,12024,5302,790,1818,96,96,16.1,11,15934,66 +"University of Central Florida","No",6986,2959,1918,25,60,12330,7152,6618,4234,700,1600,80,98,22.2,9,6742,46 +"University of Charleston","Yes",682,535,204,22,43,771,611,9500,3540,400,750,26,58,2.5,10,7683,57 +"University of Chicago","Yes",6348,2999,922,68,94,3340,39,18930,6380,500,1254,99,99,5.3,36,36854,90 +"University of Cincinnati","No",6855,5553,2408,26,57,11036,2011,8907,4697,556,1851,89,95,10.8,6,13889,54 +"University of Connecticut at Storrs","No",9735,7187,2064,23,63,12478,1660,11656,5072,700,2300,89,95,16,16,10178,71 +"University of Dallas","Yes",681,588,246,44,74,1058,73,10760,6230,500,1200,85,93,13.4,26,8731,63 +"University of Dayton","Yes",6361,5293,1507,26,51,5889,665,11380,4220,500,900,81,85,14.8,25,8894,93 +"University of Delaware","Yes",14446,10516,3252,22,57,14130,4522,10220,4230,530,1300,82,87,18.3,15,10650,75 +"University of Denver","Yes",2974,2001,580,29,60,2666,554,15192,4695,400,1350,84,91,15.9,21,11762,67 +"University of Detroit Mercy","Yes",927,731,415,24,50,2149,2217,11130,3996,600,2166,72,79,13.5,14,10891,51 +"University of Dubuque","Yes",576,558,137,11,39,662,131,10430,3620,400,1500,85,98,16.5,18,8767,45 +"University of Evansville","Yes",2096,1626,694,35,67,2551,407,11800,4340,700,960,60,81,15.8,26,7780,77 +"University of Florida","No",12445,8836,3623,54,85,24470,3286,7090,4180,630,1530,88,97,13.4,20,14737,66 +"University of Georgia","No",11220,7871,3320,43,79,19553,2748,5697,3600,525,1755,88,95,14.7,22,7881,63 +"University of Hartford","Yes",5081,4040,1194,11,26,3768,1415,14220,6000,500,1440,61,76,10.7,9,10625,66 +"University of Hawaii at Manoa","No",3580,2603,1627,36,69,11028,2411,4460,3038,687,1281,85,87,11.8,6,12833,54 +"University of Illinois - Urbana","No",14939,11652,5705,52,88,25422,911,7560,4574,500,1982,87,90,17.4,13,8559,81 +"University of Illinois at Chicago","No",8384,5727,2710,22,50,13518,2916,7230,5088,630,3228,82,84,10,6,13883,34 +"University of Indianapolis","Yes",1487,1276,388,26,51,1417,1646,11120,4080,525,1405,55,56,11.1,23,6735,69 +"University of Kansas","No",8579,5561,3681,25,50,17880,1673,6994,3384,700,2681,88,94,13.7,17,9657,57 +"University of La Verne","Yes",1597,969,226,16,38,1431,1522,13540,5050,630,2298,66,68,14.1,23,10139,47 +"University of Louisville","No",4777,3057,1823,16,33,9844,6198,6540,3600,530,2440,84,92,11.1,24,10207,31 +"University of Maine at Farmington","No",1208,803,438,20,48,1906,344,6810,3970,450,1647,67,75,15.9,26,5712,59 +"University of Maine at Machias","No",441,369,172,17,45,633,317,6600,3680,600,400,46,46,15.1,4,5935,64 +"University of Maine at Presque Isle","No",461,381,235,10,40,974,503,6600,3630,400,1675,67,67,15.2,11,6408,35 +"University of Maryland at Baltimore County","No",4269,2594,985,27,57,6476,2592,8594,4408,494,2768,82,88,18.4,6,7618,55 +"University of Maryland at College Park","No",14292,10315,3409,22,53,19340,3991,8723,5146,550,1550,89,92,18.1,12,9021,63 +"University of Massachusetts at Amherst","No",14438,12414,3816,12,39,16282,1940,8566,3897,500,1400,88,92,16.7,15,10276,68 +"University of Massachusetts at Dartmouth","No",3347,2597,1006,10,37,4664,1630,6919,4500,500,1250,74,90,15,20,7462,56 +"University of Miami","Yes",7122,5386,1643,42,69,7760,876,16500,6526,630,1985,82,94,5.9,17,17500,59 +"University of Michigan at Ann Arbor","No",19152,12940,4893,66,92,22045,1339,15732,4659,476,1600,90,98,11.5,26,14847,87 +"University of Minnesota at Duluth","No",4192,3126,1656,15,45,5887,1254,8828,3474,753,2610,79,91,19,11,6393,53 +"University of Minnesota at Morris","No",1458,874,588,56,86,1846,154,9843,3180,600,1500,74,78,14.6,16,6716,51 +"University of Minnesota Twin Cities","No",11054,6397,3524,26,55,16502,21836,8949,3744,714,2910,88,90,12.2,37,16122,45 +"University of Mississippi","No",3844,3383,1669,26,47,7524,804,4916,3810,600,550,81,86,20.3,14,6971,53 +"University of Missouri at Columbia","No",6574,4637,2940,32,62,14782,1583,9057,3485,600,1983,87,87,12.7,15,10145,58 +"University of Missouri at Rolla","No",1877,1826,823,49,77,3926,561,9057,3600,700,1435,88,88,14.4,23,9699,49 +"University of Missouri at Saint Louis","No",1618,1141,479,18,54,4793,4552,7246,3964,500,4288,71,73,13.4,15,6433,48 +"University of Mobile","Yes",452,331,269,17,54,1417,301,6150,3680,550,1200,59,63,16.6,4,5412,52 +"University of Montevallo","No",1351,892,570,18,78,2385,331,4440,3030,300,600,72,72,18.9,8,5883,51 +"University of Nebraska at Lincoln","No",6277,6003,3526,33,63,16454,3171,5595,3145,500,2070,86,92,15.1,48,6813,53 +"University of New England","Yes",1209,750,265,19,54,820,159,11450,5045,900,2500,72,75,11.4,13,9718,64 +"University of New Hampshire","No",9750,7640,2529,24,62,10358,1338,11180,3862,650,2450,89,87,17.5,16,7855,75 +"University of North Carolina at Asheville","No",1757,979,394,32,74,2033,1078,5972,3420,600,750,77,83,13,11,7011,37 +"University of North Carolina at Chapel Hill","No",14596,5985,3331,75,92,14609,1100,8400,4200,550,1200,88,93,8.9,23,15893,83 +"University of North Carolina at Charlotte","No",5803,4441,1730,19,62,10099,3255,7248,3109,600,1900,79,91,16.8,7,6227,62 +"University of North Carolina at Greensboro","No",5191,4134,1500,15,44,7532,1847,8677,3505,600,1300,75,94,15.5,17,7392,53 +"University of North Carolina at Wilmington","No",6071,3856,1449,15,67,6635,1145,7558,3680,500,1500,82,85,19.1,15,6005,55 +"University of North Dakota","No",2777,2249,1652,20,54,8334,1435,5634,2703,450,1200,97,97,15.9,16,9424,49 +"University of North Florida","No",1800,1253,560,44,85,3876,3588,6634,4360,600,2604,82,85,17.8,14,6104,47 +"University of North Texas","No",4418,2737,2049,23,51,14047,5134,4104,3579,450,1700,86,94,22.6,6,5657,35 +"University of Northern Colorado","No",5530,4007,1697,12,37,8463,1498,7731,4128,540,2286,75,75,21.5,8,6309,40 +"University of Northern Iowa","No",4144,3379,1853,18,52,10135,1448,6197,2930,595,2380,78,82,16.3,26,6333,77 +"University of Notre Dame","Yes",7700,3700,1906,79,96,7671,30,16850,4400,600,1350,96,92,13.1,46,13936,97 +"University of Oklahoma","No",4743,3970,2233,32,63,13436,2582,5173,3526,765,3176,86,90,11.5,11,10244,44 +"University of Oregon","No",8631,6732,2546,25,61,11669,1605,10602,3660,570,1530,79,87,19.7,13,8020,54 +"University of Pennsylvania","Yes",12394,5232,2464,85,100,9205,531,17020,7270,500,1544,95,96,6.3,38,25765,93 +"University of Pittsburgh-Main Campus","No",8586,6383,2503,25,59,13138,4289,10786,4560,400,900,93,93,7.8,10,13789,66 +"University of Portland","Yes",1758,1485,419,27,58,2041,174,12040,4100,600,1100,92,96,13.2,17,9060,72 +"University of Puget Sound","Yes",4044,2826,688,51,83,2738,138,16230,4500,630,1800,79,86,15,17,11217,63 +"University of Rhode Island","No",9643,7751,1968,12,40,8894,2456,10330,5558,500,1250,84,89,16.6,7,9158,63 +"University of Richmond","Yes",5892,2718,756,46,72,2854,594,14500,3285,700,1125,75,89,11.7,32,11984,100 +"University of Rochester","Yes",8766,5498,1243,56,75,5071,438,17840,6582,500,882,93,99,5.9,23,26037,80 +"University of San Diego","Yes",3934,2735,886,40,70,3698,217,13600,5940,630,1820,93,96,15.6,13,10813,66 +"University of San Francisco","Yes",2306,1721,538,23,48,4309,549,13226,6452,750,2450,86,86,13.6,8,10074,62 +"University of Sci. and Arts of Oklahoma","No",285,280,208,21,43,1140,473,3687,1920,600,1800,67,77,23.6,3,3864,43 +"University of Scranton","Yes",4471,2942,910,29,60,3674,493,11584,5986,650,800,83,83,14.1,41,9131,92 +"University of South Carolina at Aiken","No",848,560,377,14,24,1855,1412,5800,3066,500,1500,62,62,14.8,3,5035,48 +"University of South Carolina at Columbia","No",7693,5815,2328,30,66,12594,3661,8074,3522,495,2941,84,88,16.9,18,8246,63 +"University of South Florida","No",7589,4676,1876,29,63,14770,10962,6760,3776,500,2180,84,89,17,7,11020,47 +"University of Southern California","Yes",12229,8498,2477,45,71,13259,1429,17230,6482,600,2210,90,94,11.4,10,17007,68 +"University of Southern Colorado","No",1401,1239,605,10,34,3716,675,7100,4380,540,2948,63,88,19.4,0,5389,36 +"University of Southern Indiana","No",2379,2133,1292,8,25,4283,2973,4973,3192,500,1425,56,65,22,21,4078,38 +"University of Southern Mississippi","No",2850,2044,1046,20,50,9260,1387,4652,2470,500,500,78,99,18.7,23,5917,45 +"University of St. Thomas MN","Yes",2057,1807,828,26,53,4106,982,11712,4037,500,800,80,80,13.8,13,8546,89 +"University of St. Thomas TX","Yes",374,280,185,45,77,995,408,8550,4050,500,1344,75,75,12.6,17,7237,62 +"University of Tennessee at Knoxville","No",7473,5372,3013,27,53,15749,3237,5764,3262,750,3300,86,92,16.5,22,8612,53 +"University of Texas at Arlington","No",3281,2559,1448,19,43,10975,8431,4422,2780,500,2850,73,73,21,4,4696,29 +"University of Texas at Austin","No",14752,9572,5329,48,85,30017,5189,5130,3309,650,3140,91,99,19.7,11,7837,65 +"University of Texas at San Antonio","No",4217,3100,1686,17,46,9375,5457,4104,5376,452,1200,94,100,25.3,3,4329,50 +"University of the Arts","Yes",974,704,290,5,22,1145,39,12520,3860,1300,700,16,59,7.5,9,11641,57 +"University of the Pacific","Yes",2459,1997,582,36,66,2664,299,16320,5326,646,1171,87,94,11.2,14,13706,65 +"University of the South","Yes",1445,966,326,46,83,1129,24,15350,4080,450,810,89,93,10.3,52,18784,82 +"University of Tulsa","Yes",1712,1557,696,41,68,2936,433,11750,4160,1200,2350,94,96,11.5,10,11743,47 +"University of Utah","No",5095,4491,2400,27,53,13894,8374,6857,3975,858,3093,89,93,12.8,9,9275,37 +"University of Vermont","No",7663,6008,1735,18,51,7353,1674,15516,4928,500,990,87,90,9.9,10,12646,79 +"University of Virginia","No",15849,5384,2678,74,95,11278,114,12212,3792,500,1000,90,92,9.5,22,13597,95 +"University of Washington","No",12749,7025,3343,40,81,20356,4582,8199,4218,708,2172,96,94,9,10,16527,65 +"University of West Florida","No",1558,1254,472,20,57,3754,2477,6172,3994,541,1387,83,87,23.4,12,8488,53 +"University of Wisconsin-Stout","No",2593,1966,1030,9,32,6038,579,6704,2592,376,1750,78,78,21,17,6254,65 +"University of Wisconsin-Superior","No",910,910,342,14,53,1434,417,7032,2780,550,1960,75,81,15.2,15,6490,36 +"University of Wisconsin-Whitewater","No",4400,3719,1472,12,38,7804,1552,6950,2500,300,1200,90,95,23.1,16,5559,67 +"University of Wisconsin at Green Bay","No",2409,1939,759,17,50,3819,1347,6900,2800,475,1200,81,89,22.2,1,5968,46 +"University of Wisconsin at Madison","No",14901,10932,4631,36,80,23945,2200,9096,4290,535,1545,93,96,11.5,20,11006,72 +"University of Wisconsin at Milwaukee","No",5244,3782,1930,12,37,11561,7443,8786,2964,570,1980,79,87,15.9,8,8094,38 +"University of Wyoming","No",2029,1516,1073,23,46,7535,1488,5988,3422,600,1500,91,94,15.1,13,8745,45 +"Upper Iowa University","Yes",663,452,192,10,35,1481,1160,8840,3060,500,1000,69,75,17.4,19,3733,78 +"Ursinus College","Yes",1399,1026,308,44,77,1131,17,14900,5160,500,800,82,85,11.6,40,12082,79 +"Ursuline College","Yes",325,260,86,21,47,699,717,9600,4202,450,750,39,69,10.5,15,7164,68 +"Valley City State University","No",368,344,212,5,27,863,189,4286,2570,600,2000,39,41,14.9,25,4958,40 +"Valparaiso University","Yes",2075,1727,520,49,81,2501,198,11800,3260,500,800,87,89,14.2,23,9681,95 +"Vanderbilt University","Yes",7791,4690,1499,71,92,5500,90,17865,6525,630,952,93,98,5.8,26,23850,83 +"Vassar College","Yes",3550,1877,653,53,87,2164,77,18920,5950,600,800,90,98,9.7,39,17089,90 +"Villanova University","Yes",7759,5588,1477,30,68,6362,1292,15925,6507,400,300,89,90,13.4,24,10458,96 +"Virginia Commonwealth University","No",4963,3497,1567,18,45,10262,5065,10217,4182,500,3630,81,87,8.7,11,11183,45 +"Virginia State University","No",2996,2440,704,2,30,3006,338,5587,4845,500,600,61,63,16,11,5733,31 +"Virginia Tech","No",15712,11719,4277,29,53,18511,604,10260,3176,740,2200,85,89,13.8,20,8944,73 +"Virginia Union University","Yes",1847,1610,453,19,59,1298,67,7384,3494,500,1763,51,67,13.7,8,6757,30 +"Virginia Wesleyan College","Yes",1470,900,287,20,49,1130,417,10900,5100,500,550,70,81,15.7,14,7804,68 +"Viterbo College","Yes",647,518,271,17,43,1014,387,9140,3365,500,2245,51,65,10.7,31,8050,73 +"Voorhees College","Yes",1465,1006,188,10,30,703,20,4450,2522,500,1200,43,43,22.9,3,5861,58 +"Wabash College","Yes",800,623,256,41,76,801,5,12925,4195,500,635,78,85,9.9,55,14904,72 +"Wagner College","Yes",1416,1015,417,10,44,1324,117,13500,5800,585,1700,67,78,13.2,23,9006,75 +"Wake Forest University","Yes",5661,2392,903,75,88,3499,172,13850,4360,500,1250,95,97,4.3,37,41766,89 +"Walsh University","Yes",1092,890,477,27,92,847,497,8670,4180,500,1450,42,58,11.3,33,5738,68 +"Warren Wilson College","Yes",440,311,112,25,49,466,7,10000,3052,400,1100,65,75,11.4,20,9430,63 +"Wartburg College","Yes",1231,1074,345,34,66,1295,105,11600,3610,400,850,66,91,12.4,37,7735,67 +"Washington and Jefferson College","Yes",1305,1100,334,42,64,1098,151,16260,4005,300,500,91,91,12.1,40,10162,86 +"Washington and Lee University","Yes",3315,1096,425,68,93,1584,3,13750,4619,680,1115,81,96,9.6,45,15736,90 +"Washington College","Yes",1209,942,214,31,60,822,46,15276,5318,500,300,79,86,11.2,37,10830,65 +"Washington State University","No",6540,5839,2440,31,70,14445,1344,8200,4210,800,2719,84,87,16.9,30,10912,56 +"Washington University","Yes",7654,5259,1254,62,93,4879,1274,18350,5775,768,1512,91,98,3.9,31,45702,90 +"Wayne State College","No",1373,1373,724,6,21,2754,474,2700,2660,540,1660,60,68,20.3,29,4550,52 +"Waynesburg College","Yes",1190,978,324,12,30,1280,61,8840,3620,500,1200,57,58,16.2,26,6563,63 +"Webber College","Yes",280,143,79,5,27,327,110,5590,2900,650,1952,53,63,15.1,4,4839,90 +"Webster University","Yes",665,462,226,17,44,1739,1550,9160,4340,500,500,68,68,20.6,14,6951,48 +"Wellesley College","Yes",2895,1249,579,80,96,2195,156,18345,5995,500,700,94,98,10.6,51,21409,91 +"Wells College","Yes",318,240,130,40,85,416,19,14900,5550,600,500,93,98,8.3,42,13935,69 +"Wentworth Institute of Technology","Yes",1480,1257,452,6,25,2961,572,9850,6050,850,920,10,68,15.4,8,17858,64 +"Wesley College","Yes",980,807,350,10,25,872,448,9890,4674,500,1350,52,57,14.4,15,6243,84 +"Wesleyan University","Yes",4772,1973,712,60,86,2714,27,19130,5600,1400,1400,90,94,12.1,39,16262,92 +"West Chester University of Penn.","No",6502,3539,1372,11,51,7484,1904,7844,4108,400,2000,76,79,15.3,16,6773,52 +"West Liberty State College","No",1164,1062,478,12,25,2138,227,4470,2890,600,1210,33,33,16.3,10,4249,60 +"West Virginia Wesleyan College","Yes",1566,1400,483,28,55,1509,170,14200,3775,450,1100,58,81,16.4,42,8080,67 +"Western Carolina University","No",3224,2519,1057,11,31,5000,706,6390,2380,110,1622,67,78,14.6,9,6554,55 +"Western Maryland College","Yes",1205,984,278,31,50,1071,98,14510,5340,500,1400,84,91,12.5,39,10026,60 +"Western Michigan University","No",9167,7191,2738,24,53,15739,4278,6940,4100,500,1700,80,84,24.7,11,5983,55 +"Western New England College","Yes",1650,1471,409,7,21,1803,1116,8994,5500,498,2065,74,97,15.4,15,8409,59 +"Western State College of Colorado","No",2702,1623,604,7,24,2315,146,5918,3755,500,2050,76,79,19.4,4,4599,52 +"Western Washington University","No",5548,3563,1549,30,71,8909,506,8124,4144,639,2385,83,89,22.7,10,7203,61 +"Westfield State College","No",3100,2150,825,3,20,3234,941,5542,3788,500,1300,75,79,15.7,20,4222,65 +"Westminster College MO","Yes",662,553,184,20,43,665,37,10720,4050,600,1650,66,70,12.5,20,7925,62 +"Westminster College","Yes",996,866,377,29,58,1411,72,12065,3615,430,685,62,78,12.5,41,8596,80 +"Westminster College of Salt Lake City","Yes",917,720,213,21,60,979,743,8820,4050,600,2025,68,83,10.5,34,7170,50 +"Westmont College","No",950,713,351,42,72,1276,9,14320,5304,490,1410,77,77,14.9,17,8837,87 +"Wheaton College IL","Yes",1432,920,548,56,84,2200,56,11480,4200,530,1400,81,83,12.7,40,11916,85 +"Westminster College PA","Yes",1738,1373,417,21,55,1335,30,18460,5970,700,850,92,96,13.2,41,22704,71 +"Wheeling Jesuit College","Yes",903,755,213,15,49,971,305,10500,4545,600,600,66,71,14.1,27,7494,72 +"Whitman College","Yes",1861,998,359,45,77,1220,46,16670,4900,750,800,80,83,10.5,51,13198,72 +"Whittier College","Yes",1681,1069,344,35,63,1235,30,16249,5699,500,1998,84,92,13.6,29,11778,52 +"Whitworth College","Yes",1121,926,372,43,70,1270,160,12660,4500,678,2424,80,80,16.9,20,8328,80 +"Widener University","Yes",2139,1492,502,24,64,2186,2171,12350,5370,500,1350,88,86,12.6,19,9603,63 +"Wilkes University","Yes",1631,1431,434,15,36,1803,603,11150,5130,550,1260,78,92,13.3,24,8543,67 +"Willamette University","Yes",1658,1327,395,49,80,1595,159,14800,4620,400,790,91,94,13.3,37,10779,68 +"William Jewell College","Yes",663,547,315,32,67,1279,75,10060,2970,500,2600,74,80,11.2,19,7885,59 +"William Woods University","Yes",469,435,227,17,39,851,120,10535,4365,550,3700,39,66,12.9,16,7438,52 +"Williams College","Yes",4186,1245,526,81,96,1988,29,19629,5790,500,1200,94,99,9,64,22014,99 +"Wilson College","Yes",167,130,46,16,50,199,676,11428,5084,450,475,67,76,8.3,43,10291,67 +"Wingate College","Yes",1239,1017,383,10,34,1207,157,7820,3400,550,1550,69,81,13.9,8,7264,91 +"Winona State University","No",3325,2047,1301,20,45,5800,872,4200,2700,300,1200,53,60,20.2,18,5318,58 +"Winthrop University","No",2320,1805,769,24,61,3395,670,6400,3392,580,2150,71,80,12.8,26,6729,59 +"Wisconsin Lutheran College","Yes",152,128,75,17,41,282,22,9100,3700,500,1400,48,48,8.5,26,8960,50 +"Wittenberg University","Yes",1979,1739,575,42,68,1980,144,15948,4404,400,800,82,95,12.8,29,10414,78 +"Wofford College","Yes",1501,935,273,51,83,1059,34,12680,4150,605,1440,91,92,15.3,42,7875,75 +"Worcester Polytechnic Institute","Yes",2768,2314,682,49,86,2802,86,15884,5370,530,730,92,94,15.2,34,10774,82 +"Worcester State College","No",2197,1515,543,4,26,3089,2029,6797,3900,500,1200,60,60,21,14,4469,40 +"Xavier University","Yes",1959,1805,695,24,47,2849,1107,11520,4960,600,1250,73,75,13.3,31,9189,83 +"Xavier University of Louisiana","Yes",2097,1915,695,34,61,2793,166,6900,4200,617,781,67,75,14.4,20,8323,49 +"Yale University","Yes",10705,2453,1317,95,99,5217,83,19840,6510,630,2115,96,96,5.8,49,40386,99 +"York College of Pennsylvania","Yes",2989,1855,691,28,63,2988,1726,4990,3560,500,1250,75,75,18.1,28,4509,99 diff --git a/Data/Credit.csv b/Data/Credit.csv index 0a1939f..bac9372 100644 --- a/Data/Credit.csv +++ b/Data/Credit.csv @@ -1,401 +1,401 @@ -"","Income","Limit","Rating","Cards","Age","Education","Gender","Student","Married","Ethnicity","Balance" -"1",14.891,3606,283,2,34,11," Male","No","Yes","Caucasian",333 -"2",106.025,6645,483,3,82,15,"Female","Yes","Yes","Asian",903 -"3",104.593,7075,514,4,71,11," Male","No","No","Asian",580 -"4",148.924,9504,681,3,36,11,"Female","No","No","Asian",964 -"5",55.882,4897,357,2,68,16," Male","No","Yes","Caucasian",331 -"6",80.18,8047,569,4,77,10," Male","No","No","Caucasian",1151 -"7",20.996,3388,259,2,37,12,"Female","No","No","African American",203 -"8",71.408,7114,512,2,87,9," Male","No","No","Asian",872 -"9",15.125,3300,266,5,66,13,"Female","No","No","Caucasian",279 -"10",71.061,6819,491,3,41,19,"Female","Yes","Yes","African American",1350 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diff --git a/Data/NCI60_y.csv b/Data/NCI60_y.csv deleted file mode 100644 index 3264805..0000000 --- a/Data/NCI60_y.csv +++ /dev/null @@ -1,65 +0,0 @@ -"","x" -"1","CNS" -"2","CNS" -"3","CNS" -"4","RENAL" -"5","BREAST" -"6","CNS" -"7","CNS" -"8","BREAST" -"9","NSCLC" -"10","NSCLC" -"11","RENAL" -"12","RENAL" -"13","RENAL" -"14","RENAL" -"15","RENAL" -"16","RENAL" -"17","RENAL" -"18","BREAST" -"19","NSCLC" -"20","RENAL" -"21","UNKNOWN" -"22","OVARIAN" -"23","MELANOMA" -"24","PROSTATE" -"25","OVARIAN" -"26","OVARIAN" -"27","OVARIAN" -"28","OVARIAN" -"29","OVARIAN" -"30","PROSTATE" -"31","NSCLC" -"32","NSCLC" -"33","NSCLC" -"34","LEUKEMIA" -"35","K562B-repro" -"36","K562A-repro" -"37","LEUKEMIA" -"38","LEUKEMIA" -"39","LEUKEMIA" -"40","LEUKEMIA" -"41","LEUKEMIA" -"42","COLON" -"43","COLON" -"44","COLON" -"45","COLON" -"46","COLON" -"47","COLON" -"48","COLON" -"49","MCF7A-repro" -"50","BREAST" -"51","MCF7D-repro" -"52","BREAST" -"53","NSCLC" -"54","NSCLC" -"55","NSCLC" -"56","MELANOMA" 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+"226",0,0,0,"K23",24,0.67217,0,28.94455852,0 +"227",1,0,1,"U54",31,5.649036,38.278,7.983572895,1 +"228",0,0,0,"R01",132,2.481322,0,2.98973306,0 +"229",0,0,0,"R01",55,1.41009,0,4.993839836,0 +"230",1,0,0,"R21",30,0.407,0,19.97535934,0 +"231",0,0,0,"R01",60,1.591641,0,6.012320329,0 +"232",1,0,0,"RC2",150,4.136888,0,30.39014374,0 +"233",1,0,0,"R44",1800,0.988677,3.299,35.02258727,1 +"234",1,0,0,"R21",181,0.37509,0,4.008213552,0 +"235",0,0,0,"R01",66,1.15875,0,5.979466119,0 +"236",0,0,0,"P50",100,2.531065,0,11.86036961,0 +"237",1,0,0,"K23",99,0.601928,0,13.04312115,0 +"238",1,0,0,"R01",247,1.3054805,0,9.691991786,1 +"239",1,0,0,"R01",247,1.3054805,0,16.45995893,1 +"240",0,0,0,"R01",4105,2.703653,5.355,65.01848049,1 +"241",1,0,0,"R44",181,1.117084,0,66.98973306,0 +"242",0,0,0,"K23",104,0.472321,0,9.987679671,0 +"243",0,0,0,"R21",69,0.40471,0,21.97946612,0 +"244",1,0,0,"R01",1699,2.957751,0,4.632443532,0 diff --git a/Data/Smarket.csv b/Data/Smarket.csv index cfd1764..dca7244 100644 --- a/Data/Smarket.csv +++ b/Data/Smarket.csv @@ -1,1251 +1,1251 @@ -"","Year","Lag1","Lag2","Lag3","Lag4","Lag5","Volume","Today","Direction" -"1",2001,0.381,-0.192,-2.624,-1.055,5.01,1.1913,0.959,"Up" -"2",2001,0.959,0.381,-0.192,-2.624,-1.055,1.2965,1.032,"Up" -"3",2001,1.032,0.959,0.381,-0.192,-2.624,1.4112,-0.623,"Down" -"4",2001,-0.623,1.032,0.959,0.381,-0.192,1.276,0.614,"Up" -"5",2001,0.614,-0.623,1.032,0.959,0.381,1.2057,0.213,"Up" -"6",2001,0.213,0.614,-0.623,1.032,0.959,1.3491,1.392,"Up" -"7",2001,1.392,0.213,0.614,-0.623,1.032,1.445,-0.403,"Down" -"8",2001,-0.403,1.392,0.213,0.614,-0.623,1.4078,0.027,"Up" -"9",2001,0.027,-0.403,1.392,0.213,0.614,1.164,1.303,"Up" -"10",2001,1.303,0.027,-0.403,1.392,0.213,1.2326,0.287,"Up" -"11",2001,0.287,1.303,0.027,-0.403,1.392,1.309,-0.498,"Down" -"12",2001,-0.498,0.287,1.303,0.027,-0.403,1.258,-0.189,"Down" -"13",2001,-0.189,-0.498,0.287,1.303,0.027,1.098,0.68,"Up" -"14",2001,0.68,-0.189,-0.498,0.287,1.303,1.0531,0.701,"Up" -"15",2001,0.701,0.68,-0.189,-0.498,0.287,1.1498,-0.562,"Down" -"16",2001,-0.562,0.701,0.68,-0.189,-0.498,1.2953,0.546,"Up" -"17",2001,0.546,-0.562,0.701,0.68,-0.189,1.1188,-1.747,"Down" -"18",2001,-1.747,0.546,-0.562,0.701,0.68,1.0484,0.359,"Up" -"19",2001,0.359,-1.747,0.546,-0.562,0.701,1.013,-0.151,"Down" -"20",2001,-0.151,0.359,-1.747,0.546,-0.562,1.0596,-0.841,"Down" -"21",2001,-0.841,-0.151,0.359,-1.747,0.546,1.1583,-0.623,"Down" -"22",2001,-0.623,-0.841,-0.151,0.359,-1.747,1.1072,-1.334,"Down" -"23",2001,-1.334,-0.623,-0.841,-0.151,0.359,1.0755,1.183,"Up" -"24",2001,1.183,-1.334,-0.623,-0.841,-0.151,1.0391,-0.865,"Down" -"25",2001,-0.865,1.183,-1.334,-0.623,-0.841,1.0752,-0.218,"Down" -"26",2001,-0.218,-0.865,1.183,-1.334,-0.623,1.1503,0.812,"Up" -"27",2001,0.812,-0.218,-0.865,1.183,-1.334,1.1537,-1.891,"Down" -"28",2001,-1.891,0.812,-0.218,-0.865,1.183,1.2572,-1.736,"Down" -"29",2001,-1.736,-1.891,0.812,-0.218,-0.865,1.1122,-1.851,"Down" -"30",2001,-1.851,-1.736,-1.891,0.812,-0.218,1.2085,-0.195,"Down" -"31",2001,-0.195,-1.851,-1.736,-1.891,0.812,1.3659,-0.556,"Down" -"32",2001,-0.556,-0.195,-1.851,-1.736,-1.891,1.2313,1.749,"Up" -"33",2001,1.749,-0.556,-0.195,-1.851,-1.736,1.1308,-0.766,"Down" -"34",2001,-0.766,1.749,-0.556,-0.195,-1.851,1.1141,-1.431,"Down" -"35",2001,-1.431,-0.766,1.749,-0.556,-0.195,1.2253,0.104,"Up" -"36",2001,0.104,-1.431,-0.766,1.749,-0.556,1.2949,-0.568,"Down" -"37",2001,-0.568,0.104,-1.431,-0.766,1.749,1.294,0.586,"Up" -"38",2001,0.586,-0.568,0.104,-1.431,-0.766,0.9292,0.998,"Up" -"39",2001,0.998,0.586,-0.568,0.104,-1.431,1.0918,0.645,"Up" -"40",2001,0.645,0.998,0.586,-0.568,0.104,1.1322,0.226,"Up" -"41",2001,0.226,0.645,0.998,0.586,-0.568,1.1141,-2.476,"Down" -"42",2001,-2.476,0.226,0.645,0.998,0.586,1.0859,-4.318,"Down" -"43",2001,-4.318,-2.476,0.226,0.645,0.998,1.229,1.483,"Up" -"44",2001,1.483,-4.318,-2.476,0.226,0.645,1.3609,-2.584,"Down" -"45",2001,-2.584,1.483,-4.318,-2.476,0.226,1.3974,0.587,"Up" -"46",2001,0.587,-2.584,1.483,-4.318,-2.476,1.2595,-1.962,"Down" -"47",2001,-1.962,0.587,-2.584,1.483,-4.318,1.54356,1.763,"Up" -"48",2001,1.763,-1.962,0.587,-2.584,1.483,1.1262,-2.408,"Down" -"49",2001,-2.408,1.763,-1.962,0.587,-2.584,1.2359,-1.792,"Down" -"50",2001,-1.792,-2.408,1.763,-1.962,0.587,1.3463,-0.406,"Down" -"51",2001,-0.406,-1.792,-2.408,1.763,-1.962,1.72395,1.991,"Up" -"52",2001,1.991,-0.406,-1.792,-2.408,1.763,1.3649,1.128,"Up" -"53",2001,1.128,1.991,-0.406,-1.792,-2.408,1.114,2.557,"Up" -"54",2001,2.557,1.128,1.991,-0.406,-1.792,1.3142,-2.443,"Down" -"55",2001,-2.443,2.557,1.128,1.991,-0.406,1.3334,-0.463,"Down" -"56",2001,-0.463,-2.443,2.557,1.128,1.991,1.2345,1.078,"Up" -"57",2001,1.078,-0.463,-2.443,2.557,1.128,1.2808,-1.246,"Down" -"58",2001,-1.246,1.078,-0.463,-2.443,2.557,1.2549,-3.439,"Down" -"59",2001,-3.439,-1.246,1.078,-0.463,-2.443,1.3861,-0.29,"Down" -"60",2001,-0.29,-3.439,-1.246,1.078,-0.463,1.42559,4.368,"Up" -"61",2001,4.368,-0.29,-3.439,-1.246,1.078,1.368,-1.998,"Down" -"62",2001,-1.998,4.368,-0.29,-3.439,-1.246,1.2668,0.812,"Up" -"63",2001,0.812,-1.998,4.368,-0.29,-3.439,1.0628,2.707,"Up" -"64",2001,2.707,0.812,-1.998,4.368,-0.29,1.3496,-0.213,"Down" -"65",2001,-0.213,2.707,0.812,-1.998,4.368,1.2903,1.51,"Up" -"66",2001,1.51,-0.213,2.707,0.812,-1.998,1.102,-0.323,"Down" -"67",2001,-0.323,1.51,-0.213,2.707,0.812,0.9139,1.028,"Up" -"68",2001,1.028,-0.323,1.51,-0.213,2.707,1.1096,3.889,"Up" -"69",2001,3.889,1.028,-0.323,1.51,-0.213,1.9189,1.254,"Up" -"70",2001,1.254,3.889,1.028,-0.323,1.51,1.4868,-0.854,"Down" -"71",2001,-0.854,1.254,3.889,1.028,-0.323,1.3387,-1.498,"Down" -"72",2001,-1.498,-0.854,1.254,3.889,1.028,1.0126,-1.216,"Down" -"73",2001,-1.216,-1.498,-0.854,1.254,3.889,1.2165,1.594,"Up" -"74",2001,1.594,-1.216,-1.498,-0.854,1.254,1.2036,0.47,"Up" -"75",2001,0.47,1.594,-1.216,-1.498,-0.854,1.3452,1.501,"Up" -"76",2001,1.501,0.47,1.594,-1.216,-1.498,1.0913,-0.287,"Down" -"77",2001,-0.287,1.501,0.47,1.594,-1.216,1.2668,1.359,"Up" -"78",2001,1.359,-0.287,1.501,0.47,1.594,1.1813,0.078,"Up" -"79",2001,0.078,1.359,-0.287,1.501,0.47,1.3422,-1.487,"Down" -"80",2001,-1.487,0.078,1.359,-0.287,1.501,1.1379,1.444,"Up" -"81",2001,1.444,-1.487,0.078,1.359,-0.287,1.0821,-0.245,"Down" -"82",2001,-0.245,1.444,-1.487,0.078,1.359,0.949,-0.183,"Down" -"83",2001,-0.183,-0.245,1.444,-1.487,0.078,1.0063,-0.449,"Down" -"84",2001,-0.449,-0.183,-0.245,1.444,-1.487,1.1324,-0.029,"Down" -"85",2001,-0.029,-0.449,-0.183,-0.245,1.444,1.0567,-0.758,"Down" -"86",2001,-0.758,-0.029,-0.449,-0.183,-0.245,0.9062,0.261,"Up" -"87",2001,0.261,-0.758,-0.029,-0.449,-0.183,0.8582,0.042,"Up" -"88",2001,0.042,0.261,-0.758,-0.029,-0.449,1.0718,2.845,"Up" -"89",2001,2.845,0.042,0.261,-0.758,-0.029,1.4053,0.272,"Up" -"90",2001,0.272,2.845,0.042,0.261,-0.758,1.3556,0.269,"Up" -"91",2001,0.269,0.272,2.845,0.042,0.261,1.1308,1.615,"Up" -"92",2001,1.615,0.269,0.272,2.845,0.042,1.1749,-0.263,"Down" -"93",2001,-0.263,1.615,0.269,0.272,2.845,1.2604,-1.553,"Down" -"94",2001,-1.553,-0.263,1.615,0.269,0.272,1.1348,0.32,"Up" -"95",2001,0.32,-1.553,-0.263,1.615,0.269,1.1007,-1.182,"Down" -"96",2001,-1.182,0.32,-1.553,-0.263,1.615,0.8281,-0.779,"Down" -"97",2001,-0.779,-1.182,0.32,-1.553,-0.263,1.026,-1.566,"Down" -"98",2001,-1.566,-0.779,-1.182,0.32,-1.553,1.1586,0.62,"Up" -"99",2001,0.62,-1.566,-0.779,-1.182,0.32,1.2266,0.386,"Up" -"100",2001,0.386,0.62,-1.566,-0.779,-1.182,1.015,0.511,"Up" -"101",2001,0.511,0.386,0.62,-1.566,-0.779,0.8365,1.299,"Up" -"102",2001,1.299,0.511,0.386,0.62,-1.566,1.1168,-1.055,"Down" -"103",2001,-1.055,1.299,0.511,0.386,0.62,1.0619,0.546,"Up" -"104",2001,0.546,-1.055,1.299,0.511,0.386,1.0896,-0.94,"Down" -"105",2001,-0.94,0.546,-1.055,1.299,0.511,0.7262,-0.836,"Down" -"106",2001,-0.836,-0.94,0.546,-1.055,1.299,0.8701,0.116,"Up" -"107",2001,0.116,-0.836,-0.94,0.546,-1.055,1.1365,-1.135,"Down" -"108",2001,-1.135,0.116,-0.836,-0.94,0.546,1.0636,-1.75,"Down" -"109",2001,-1.75,-1.135,0.116,-0.836,-0.94,1.2429,-0.452,"Down" -"110",2001,-0.452,-1.75,-1.135,0.116,-0.836,1.63555,-0.488,"Down" -"111",2001,-0.488,-0.452,-1.75,-1.135,0.116,1.1116,0.343,"Up" -"112",2001,0.343,-0.488,-0.452,-1.75,-1.135,1.1849,0.871,"Up" -"113",2001,0.871,0.343,-0.488,-0.452,-1.75,1.3501,1.136,"Up" -"114",2001,1.136,0.871,0.343,-0.488,-0.452,1.54682,-0.945,"Down" -"115",2001,-0.945,1.136,0.871,0.343,-0.488,1.1892,-0.551,"Down" -"116",2001,-0.551,-0.945,1.136,0.871,0.343,1.0501,-0.151,"Down" -"117",2001,-0.151,-0.551,-0.945,1.136,0.871,1.1989,-0.468,"Down" -"118",2001,-0.468,-0.151,-0.551,-0.945,1.136,1.1621,1.249,"Up" -"119",2001,1.249,-0.468,-0.151,-0.551,-0.945,1.3273,-0.148,"Down" -"120",2001,-0.148,1.249,-0.468,-0.151,-0.551,1.83236,1.008,"Up" -"121",2001,1.008,-0.148,1.249,-0.468,-0.151,1.1283,-0.184,"Down" -"122",2001,-0.184,1.008,-0.148,1.249,-0.468,0.62211,-1.232,"Down" -"123",2001,-1.232,-0.184,1.008,-0.148,1.249,0.9349,-2.35,"Down" -"124",2001,-2.35,-1.232,-0.184,1.008,-0.148,1.0567,0.688,"Up" -"125",2001,0.688,-2.35,-1.232,-0.184,1.008,1.0457,-1.44,"Down" -"126",2001,-1.44,0.688,-2.35,-1.232,-0.184,1.2638,-0.113,"Down" -"127",2001,-0.113,-1.44,0.688,-2.35,-1.232,1.3841,2.369,"Up" -"128",2001,2.369,-0.113,-1.44,0.688,-2.35,1.394,0.624,"Up" -"129",2001,0.624,2.369,-0.113,-1.44,0.688,1.1217,-1.088,"Down" -"130",2001,-1.088,0.624,2.369,-0.113,-1.44,1.0398,0.997,"Up" -"131",2001,0.997,-1.088,0.624,2.369,-0.113,1.2381,-0.554,"Down" -"132",2001,-0.554,0.997,-1.088,0.624,2.369,1.3163,0.605,"Up" -"133",2001,0.605,-0.554,0.997,-1.088,0.624,1.3435,-0.343,"Down" -"134",2001,-0.343,0.605,-0.554,0.997,-1.088,1.1709,-1.637,"Down" -"135",2001,-1.637,-0.343,0.605,-0.554,0.997,0.9869,-1.627,"Down" -"136",2001,-1.627,-1.637,-0.343,0.605,-0.554,1.1987,1.608,"Up" -"137",2001,1.608,-1.627,-1.637,-0.343,0.605,1.2807,1.045,"Up" -"138",2001,1.045,1.608,-1.627,-1.637,-0.343,1.2139,0.24,"Up" -"139",2001,0.24,1.045,1.608,-1.627,-1.637,1.0153,-0.108,"Down" -"140",2001,-0.108,0.24,1.045,1.608,-1.627,0.9091,0.557,"Up" -"141",2001,0.557,-0.108,0.24,1.045,1.608,1.1292,0.388,"Up" -"142",2001,0.388,0.557,-0.108,0.24,1.045,1.3403,0.396,"Up" -"143",2001,0.396,0.388,0.557,-0.108,0.24,1.2183,-0.524,"Down" -"144",2001,-0.524,0.396,0.388,0.557,-0.108,0.9399,-1.142,"Down" -"145",2001,-1.142,-0.524,0.396,0.388,0.557,0.8117,0.327,"Up" -"146",2001,0.327,-1.142,-0.524,0.396,0.388,1.012,-1.733,"Down" -"147",2001,-1.733,0.327,-1.142,-0.524,0.396,1.1246,-0.008,"Down" -"148",2001,-0.008,-1.733,0.327,-1.142,-0.524,1.1042,0.569,"Up" -"149",2001,0.569,-0.008,-1.733,0.327,-1.142,0.9609,0.095,"Up" -"150",2001,0.095,0.569,-0.008,-1.733,0.327,0.8376,-0.383,"Down" -"151",2001,-0.383,0.095,0.569,-0.008,-1.733,0.9646,-0.734,"Down" -"152",2001,-0.734,-0.383,0.095,0.569,-0.008,1.0656,0.309,"Up" -"153",2001,0.309,-0.734,-0.383,0.095,0.569,1.0554,-1.666,"Down" -"154",2001,-1.666,0.309,-0.734,-0.383,0.095,0.9743,0.812,"Up" -"155",2001,0.812,-1.666,0.309,-0.734,-0.383,0.8971,-1.208,"Down" -"156",2001,-1.208,0.812,-1.666,0.309,-0.734,1.0416,0.696,"Up" -"157",2001,0.696,-1.208,0.812,-1.666,0.309,1.1108,-0.276,"Down" -"158",2001,-0.276,0.696,-1.208,0.812,-1.666,0.9862,1.965,"Up" -"159",2001,1.965,-0.276,0.696,-1.208,0.812,1.0436,-0.483,"Down" -"160",2001,-0.483,1.965,-0.276,0.696,-1.208,0.8426,-1.501,"Down" -"161",2001,-1.501,-0.483,1.965,-0.276,0.696,0.9871,-1.115,"Down" -"162",2001,-1.115,-1.501,-0.483,1.965,-0.276,0.9637,-1.7,"Down" -"163",2001,-1.7,-1.115,-1.501,-0.483,1.965,1.157,0.403,"Up" -"164",2001,0.403,-1.7,-1.115,-1.501,-0.483,0.9201,-0.056,"Down" -"165",2001,-0.056,0.403,-1.7,-1.115,-1.501,1.1783,-0.106,"Down" -"166",2001,-0.106,-0.056,0.403,-1.7,-1.115,1.3845,-2.239,"Down" -"167",2001,-2.239,-0.106,-0.056,0.403,-1.7,1.3597,-1.864,"Down" -"168",2001,-1.864,-2.239,-0.106,-0.056,0.403,1.4243,0.623,"Up" -"169",2001,0.623,-1.864,-2.239,-0.106,-0.056,1.2766,-4.922,"Down" -"170",2001,-4.922,0.623,-1.864,-2.239,-0.106,2.33083,-0.58,"Down" -"171",2001,-0.58,-4.922,0.623,-1.864,-2.239,1.65041,-1.611,"Down" -"172",2001,-1.611,-0.58,-4.922,0.623,-1.864,2.12055,-3.106,"Down" -"173",2001,-3.106,-1.611,-0.58,-4.922,0.623,2.0048,-1.903,"Down" -"174",2001,-1.903,-3.106,-1.611,-0.58,-4.922,2.3173,3.898,"Up" -"175",2001,3.898,-1.903,-3.106,-1.611,-0.58,1.7466,0.879,"Up" -"176",2001,0.879,3.898,-1.903,-3.106,-1.611,1.6138,-0.517,"Down" -"177",2001,-0.517,0.879,3.898,-1.903,-3.106,1.5191,1.149,"Up" -"178",2001,1.149,-0.517,0.879,3.898,-1.903,1.467,2.192,"Up" -"179",2001,2.192,1.149,-0.517,0.879,3.898,1.6315,-0.23,"Down" -"180",2001,-0.23,2.192,1.149,-0.517,0.879,1.1756,1.231,"Up" -"181",2001,1.231,-0.23,2.192,1.149,-0.517,1.2898,1.993,"Up" -"182",2001,1.993,1.231,-0.23,2.192,1.149,1.6506,-0.247,"Down" -"183",2001,-0.247,1.993,1.231,-0.23,2.192,1.6091,0.164,"Up" -"184",2001,0.164,-0.247,1.993,1.231,-0.23,1.3017,-0.834,"Down" -"185",2001,-0.834,0.164,-0.247,1.993,1.231,0.979,-0.536,"Down" -"186",2001,-0.536,-0.834,0.164,-0.247,1.993,1.2278,2.294,"Up" -"187",2001,2.294,-0.536,-0.834,0.164,-0.247,1.3124,1.521,"Up" -"188",2001,1.521,2.294,-0.536,-0.834,0.164,1.70458,-0.527,"Down" -"189",2001,-0.527,1.521,2.294,-0.536,-0.834,1.3314,-0.153,"Down" -"190",2001,-0.153,-0.527,1.521,2.294,-0.536,1.0247,0.694,"Up" -"191",2001,0.694,-0.153,-0.527,1.521,2.294,1.2105,-1.863,"Down" -"192",2001,-1.863,0.694,-0.153,-0.527,1.521,1.4522,-0.787,"Down" -"193",2001,-0.787,-1.863,0.694,-0.153,-0.527,1.2629,0.456,"Up" -"194",2001,0.456,-0.787,-1.863,0.694,-0.153,1.2949,1.53,"Up" -"195",2001,1.53,0.456,-0.787,-1.863,0.694,1.1057,-0.47,"Down" -"196",2001,-0.47,1.53,0.456,-0.787,-1.863,1.3173,0.039,"Up" -"197",2001,0.039,-0.47,1.53,0.456,-0.787,1.3362,1.372,"Up" -"198",2001,1.372,0.039,-0.47,1.53,0.456,1.3644,0.411,"Up" -"199",2001,0.411,1.372,0.039,-0.47,1.53,1.2445,-2.382,"Down" -"200",2001,-2.382,0.411,1.372,0.039,-0.47,1.1061,-1.717,"Down" -"201",2001,-1.717,-2.382,0.411,1.372,0.039,1.2974,-0.001,"Down" -"202",2001,-0.001,-1.717,-2.382,0.411,1.372,1.3525,2.295,"Up" -"203",2001,2.295,-0.001,-1.717,-2.382,0.411,1.3174,0.286,"Up" -"204",2001,0.286,2.295,-0.001,-1.717,-2.382,1.1219,1.439,"Up" -"205",2001,1.439,0.286,2.295,-0.001,-1.717,1.2677,1.453,"Up" -"206",2001,1.453,1.439,0.286,2.295,-0.001,1.356,-0.273,"Down" -"207",2001,-0.273,1.453,1.439,0.286,2.295,1.4113,0.246,"Up" -"208",2001,0.246,-0.273,1.453,1.439,0.286,1.5175,0.158,"Up" -"209",2001,0.158,0.246,-0.273,1.453,1.439,1.0938,-0.177,"Down" -"210",2001,-0.177,0.158,0.246,-0.273,1.453,0.9916,1.856,"Up" -"211",2001,1.856,-0.177,0.158,0.246,-0.273,1.3701,0.186,"Up" -"212",2001,0.186,1.856,-0.177,0.158,0.246,1.4434,0.09,"Up" -"213",2001,0.09,0.186,1.856,-0.177,0.158,1.4545,-0.314,"Down" -"214",2001,-0.314,0.09,0.186,1.856,-0.177,1.3374,1.09,"Up" -"215",2001,1.09,-0.314,0.09,0.186,1.856,1.3168,-0.73,"Down" -"216",2001,-0.73,1.09,-0.314,0.09,0.186,1.3302,-0.493,"Down" -"217",2001,-0.493,-0.73,1.09,-0.314,0.09,1.0293,1.171,"Up" -"218",2001,1.171,-0.493,-0.73,1.09,-0.314,0.4103,0.615,"Up" -"219",2001,0.615,1.171,-0.493,-0.73,1.09,1.1298,-0.684,"Down" -"220",2001,-0.684,0.615,1.171,-0.493,-0.73,1.288,-1.825,"Down" -"221",2001,-1.825,-0.684,0.615,1.171,-0.493,1.4237,1.035,"Up" -"222",2001,1.035,-1.825,-0.684,0.615,1.171,1.3757,-0.066,"Down" -"223",2001,-0.066,1.035,-1.825,-0.684,0.615,1.3436,-0.838,"Down" -"224",2001,-0.838,-0.066,1.035,-1.825,-0.684,1.2029,1.319,"Up" -"225",2001,1.319,-0.838,-0.066,1.035,-1.825,1.3185,2.232,"Up" -"226",2001,2.232,1.319,-0.838,-0.066,1.035,1.7653,-0.278,"Down" -"227",2001,-0.278,2.232,1.319,-0.838,-0.066,1.4879,-0.753,"Down" -"228",2001,-0.753,-0.278,2.232,1.319,-0.838,1.2482,-1.587,"Down" -"229",2001,-1.587,-0.753,-0.278,2.232,1.319,1.2187,-0.278,"Down" -"230",2001,-0.278,-1.587,-0.753,-0.278,2.232,1.3672,0.027,"Up" -"231",2001,0.027,-0.278,-1.587,-0.753,-0.278,1.4497,-1.556,"Down" -"232",2001,-1.556,0.027,-0.278,-1.587,-0.753,1.5115,0.331,"Up" -"233",2001,0.331,-1.556,0.027,-0.278,-1.587,1.3068,1.003,"Up" -"234",2001,1.003,0.331,-1.556,0.027,-0.278,1.2604,0.755,"Up" -"235",2001,0.755,1.003,0.331,-1.556,0.027,1.354,0.581,"Up" -"236",2001,0.581,0.755,1.003,0.331,-1.556,1.4849,-0.838,"Down" -"237",2001,-0.838,0.581,0.755,1.003,0.331,1.4905,0.435,"Up" -"238",2001,0.435,-0.838,0.581,0.755,1.003,1.694,-0.021,"Down" -"239",2001,-0.021,0.435,-0.838,0.581,0.755,0.43967,0.412,"Up" -"240",2001,0.412,-0.021,0.435,-0.838,0.581,0.7911,0.675,"Up" -"241",2001,0.675,0.412,-0.021,0.435,-0.838,0.8763,0.336,"Up" -"242",2001,0.336,0.675,0.412,-0.021,0.435,0.9174,-1.115,"Down" -"243",2002,-1.115,0.336,0.675,0.412,-0.021,0.9436,0.574,"Up" -"244",2002,0.574,-1.115,0.336,0.675,0.412,1.171,0.918,"Up" -"245",2002,0.918,0.574,-1.115,0.336,0.675,1.3989,0.621,"Up" -"246",2002,0.621,0.918,0.574,-1.115,0.336,1.513,-0.65,"Down" -"247",2002,-0.65,0.621,0.918,0.574,-1.115,1.3083,-0.359,"Down" -"248",2002,-0.359,-0.65,0.621,0.918,0.574,1.2588,-0.48,"Down" -"249",2002,-0.48,-0.359,-0.65,0.621,0.918,1.452,0.122,"Up" -"250",2002,0.122,-0.48,-0.359,-0.65,0.621,1.299,-0.947,"Down" -"251",2002,-0.947,0.122,-0.48,-0.359,-0.65,1.2119,-0.628,"Down" -"252",2002,-0.628,-0.947,0.122,-0.48,-0.359,1.2864,0.683,"Up" -"253",2002,0.683,-0.628,-0.947,0.122,-0.48,1.3869,-1.625,"Down" -"254",2002,-1.625,0.683,-0.628,-0.947,0.122,1.4825,1.003,"Up" -"255",2002,1.003,-1.625,0.683,-0.628,-0.947,1.3801,-0.992,"Down" -"256",2002,-0.992,1.003,-1.625,0.683,-0.628,1.3333,-0.733,"Down" -"257",2002,-0.733,-0.992,1.003,-1.625,0.683,1.3116,0.792,"Up" -"258",2002,0.792,-0.733,-0.992,1.003,-1.625,1.4792,0.352,"Up" -"259",2002,0.352,0.792,-0.733,-0.992,1.003,1.5528,0.1,"Up" -"260",2002,0.1,0.352,0.792,-0.733,-0.992,1.3451,-0.019,"Down" -"261",2002,-0.019,0.1,0.352,0.792,-0.733,1.1868,-2.861,"Down" -"262",2002,-2.861,-0.019,0.1,0.352,0.792,1.812,1.175,"Up" -"263",2002,1.175,-2.861,-0.019,0.1,0.352,2.0196,1.493,"Up" -"264",2002,1.493,1.175,-2.861,-0.019,0.1,1.557,-0.708,"Down" -"265",2002,-0.708,1.493,1.175,-2.861,-0.019,1.3672,-2.474,"Down" -"266",2002,-2.474,-0.708,1.493,1.175,-2.861,1.4376,-0.404,"Down" -"267",2002,-0.404,-2.474,-0.708,1.493,1.175,1.7783,-0.597,"Down" -"268",2002,-0.597,-0.404,-2.474,-0.708,1.493,1.6658,-0.308,"Down" -"269",2002,-0.308,-0.597,-0.404,-2.474,-0.708,1.4416,1.486,"Up" -"270",2002,1.486,-0.308,-0.597,-0.404,-2.474,1.3719,1.434,"Up" -"271",2002,1.434,1.486,-0.308,-0.597,-0.404,1.1594,-0.399,"Down" -"272",2002,-0.399,1.434,1.486,-0.308,-0.597,1.0942,0.994,"Up" -"273",2002,0.994,-0.399,1.434,1.486,-0.308,1.2159,-0.181,"Down" -"274",2002,-0.181,0.994,-0.399,1.434,1.486,1.2725,-1.102,"Down" -"275",2002,-1.102,-0.181,0.994,-0.399,1.434,1.3592,-1.887,"Down" -"276",2002,-1.887,-1.102,-0.181,0.994,-0.399,1.1899,1.351,"Up" -"277",2002,1.351,-1.887,-1.102,-0.181,0.994,1.4389,-1.551,"Down" -"278",2002,-1.551,1.351,-1.887,-1.102,-0.181,1.3816,0.822,"Up" -"279",2002,0.822,-1.551,1.351,-1.887,-1.102,1.411,1.798,"Up" -"280",2002,1.798,0.822,-1.551,1.351,-1.887,1.3674,-0.005,"Down" -"281",2002,-0.005,1.798,0.822,-1.551,1.351,1.3092,0.046,"Up" -"282",2002,0.046,-0.005,1.798,0.822,-1.551,1.3938,-0.285,"Down" -"283",2002,-0.285,0.046,-0.005,1.798,0.822,1.3922,2.263,"Up" -"284",2002,2.263,-0.285,0.046,-0.005,1.798,1.4565,1.949,"Up" -"285",2002,1.949,2.263,-0.285,0.046,-0.005,1.5943,-0.667,"Down" -"286",2002,-0.667,1.949,2.263,-0.285,0.046,1.5493,1.451,"Up" -"287",2002,1.451,-0.667,1.949,2.263,-0.285,1.5413,-0.45,"Down" -"288",2002,-0.45,1.451,-0.667,1.949,2.263,1.5174,0.585,"Up" -"289",2002,0.585,-0.45,1.451,-0.667,1.949,1.412,0.339,"Up" -"290",2002,0.339,0.585,-0.45,1.451,-0.667,1.2102,-0.229,"Down" -"291",2002,-0.229,0.339,0.585,-0.45,1.451,1.3044,-0.986,"Down" -"292",2002,-0.986,-0.229,0.339,0.585,-0.45,1.354,-0.091,"Down" -"293",2002,-0.091,-0.986,-0.229,0.339,0.585,1.2088,1.138,"Up" -"294",2002,1.138,-0.091,-0.986,-0.229,0.339,1.4939,-0.052,"Down" -"295",2002,-0.052,1.138,-0.091,-0.986,-0.229,1.1695,0.407,"Up" -"296",2002,0.407,-0.052,1.138,-0.091,-0.986,1.255,-1.576,"Down" -"297",2002,-1.576,0.407,-0.052,1.138,-0.091,1.3049,0.151,"Up" -"298",2002,0.151,-1.576,0.407,-0.052,1.138,1.3392,-0.424,"Down" -"299",2002,-0.424,0.151,-1.576,0.407,-0.052,1.2433,-1.465,"Down" -"300",2002,-1.465,-0.424,0.151,-1.576,0.407,1.0579,0.585,"Up" -"301",2002,0.585,-1.465,-0.424,0.151,-1.576,1.2236,0.535,"Up" -"302",2002,0.535,0.585,-1.465,-0.424,0.151,1.1801,0.246,"Up" -"303",2002,0.246,0.535,0.585,-1.465,-0.424,1.1476,-0.074,"Down" -"304",2002,-0.074,0.246,0.535,0.585,-1.465,1.0509,-0.853,"Down" -"305",2002,-0.853,-0.074,0.246,0.535,0.585,1.1767,-0.999,"Down" -"306",2002,-0.999,-0.853,-0.074,0.246,0.535,1.2197,0.084,"Up" -"307",2002,0.084,-0.999,-0.853,-0.074,0.246,1.2838,-0.321,"Down" -"308",2002,-0.321,0.084,-0.999,-0.853,-0.074,1.1102,0.228,"Up" -"309",2002,0.228,-0.321,0.084,-0.999,-0.853,1.0953,-0.666,"Down" -"310",2002,-0.666,0.228,-0.321,0.084,-0.999,1.2354,1.133,"Up" -"311",2002,1.133,-0.666,0.228,-0.321,0.084,1.4479,-2.369,"Down" -"312",2002,-2.369,1.133,-0.666,0.228,-0.321,1.5056,0.663,"Up" -"313",2002,0.663,-2.369,1.133,-0.666,0.228,1.2821,-0.761,"Down" -"314",2002,-0.761,0.663,-2.369,1.133,-0.666,1.1204,2.342,"Up" -"315",2002,2.342,-0.761,0.663,-2.369,1.133,1.3413,-0.204,"Down" -"316",2002,-0.204,2.342,-0.761,0.663,-2.369,1.3769,-0.142,"Down" -"317",2002,-0.142,-0.204,2.342,-0.761,0.663,1.3593,0.062,"Up" -"318",2002,0.062,-0.142,-0.204,2.342,-0.761,1.185,-1.541,"Down" -"319",2002,-1.541,0.062,-0.142,-0.204,2.342,1.1818,-0.62,"Down" -"320",2002,-0.62,-1.541,0.062,-0.142,-0.204,1.3885,-0.71,"Down" -"321",2002,-0.71,-0.62,-1.541,0.062,-0.142,1.3732,-0.152,"Down" -"322",2002,-0.152,-0.71,-0.62,-1.541,0.062,1.5174,-1.389,"Down" -"323",2002,-1.389,-0.152,-0.71,-0.62,-1.541,1.3742,-1.01,"Down" -"324",2002,-1.01,-1.389,-0.152,-0.71,-0.62,1.3147,1.077,"Up" -"325",2002,1.077,-1.01,-1.389,-0.152,-0.71,1.6286,0.886,"Up" -"326",2002,0.886,1.077,-1.01,-1.389,-0.152,1.4514,-0.175,"Down" -"327",2002,-0.175,0.886,1.077,-1.01,-1.389,1.364,-1.026,"Down" -"328",2002,-1.026,-0.175,0.886,1.077,-1.01,1.2845,-1.934,"Down" -"329",2002,-1.934,-1.026,-0.175,0.886,1.077,1.1226,-0.302,"Down" -"330",2002,-0.302,-1.934,-1.026,-0.175,0.886,1.3547,3.75,"Up" -"331",2002,3.75,-0.302,-1.934,-1.026,-0.175,1.502,-1.455,"Down" -"332",2002,-1.455,3.75,-0.302,-1.934,-1.026,1.153,-1.679,"Down" -"333",2002,-1.679,-1.455,3.75,-0.302,-1.934,1.1719,1.855,"Up" -"334",2002,1.855,-1.679,-1.455,3.75,-0.302,1.0886,2.114,"Up" -"335",2002,2.114,1.855,-1.679,-1.455,3.75,1.4145,-0.566,"Down" -"336",2002,-0.566,2.114,1.855,-1.679,-1.455,1.4202,0.656,"Up" -"337",2002,0.656,-0.566,2.114,1.855,-1.679,1.2566,0.761,"Up" -"338",2002,0.761,0.656,-0.566,2.114,1.855,1.2744,-1.329,"Down" -"339",2002,-1.329,0.761,0.656,-0.566,2.114,0.9898,-1.099,"Down" -"340",2002,-1.099,-1.329,0.761,0.656,-0.566,1.2005,0.569,"Up" -"341",2002,0.569,-1.099,-1.329,0.761,0.656,1.1363,1.018,"Up" -"342",2002,1.018,0.569,-1.099,-1.329,0.761,1.1929,-1.209,"Down" -"343",2002,-1.209,1.018,0.569,-1.099,-1.329,0.8854,-0.855,"Down" -"344",2002,-0.855,-1.209,1.018,0.569,-1.099,0.9965,-0.641,"Down" -"345",2002,-0.641,-0.855,-1.209,1.018,0.569,1.0818,-0.281,"Down" -"346",2002,-0.281,-0.641,-0.855,-1.209,1.018,1.2866,0.233,"Up" -"347",2002,0.233,-0.281,-0.641,-0.855,-1.209,1.2773,-2.48,"Down" -"348",2002,-2.48,0.233,-0.281,-0.641,-0.855,1.3243,0.001,"Up" -"349",2002,0.001,-2.48,0.233,-0.281,-0.641,1.4666,0.885,"Up" -"350",2002,0.885,0.001,-2.48,0.233,-0.281,1.3001,-1.976,"Down" -"351",2002,-1.976,0.885,0.001,-2.48,0.233,1.6015,-0.157,"Down" -"352",2002,-0.157,-1.976,0.885,0.001,-2.48,1.3413,0.312,"Up" -"353",2002,0.312,-0.157,-1.976,0.885,0.001,1.2262,-1.663,"Down" -"354",2002,-1.663,0.312,-0.157,-1.976,0.885,1.2124,0.657,"Up" -"355",2002,0.657,-1.663,0.312,-0.157,-1.976,1.79572,-1.049,"Down" -"356",2002,-1.049,0.657,-1.663,0.312,-0.157,1.4055,-0.227,"Down" -"357",2002,-0.227,-1.049,0.657,-1.663,0.312,1.549,2.869,"Up" -"358",2002,2.869,-0.227,-1.049,0.657,-1.663,1.2366,0.094,"Up" -"359",2002,0.094,2.869,-0.227,-1.049,0.657,1.1931,-1.654,"Down" -"360",2002,-1.654,0.094,2.869,-0.227,-1.049,1.3361,-1.343,"Down" -"361",2002,-1.343,-1.654,0.094,2.869,-0.227,1.3897,-1.704,"Down" -"362",2002,-1.704,-1.343,-1.654,0.094,2.869,1.4972,0.362,"Up" -"363",2002,0.362,-1.704,-1.343,-1.654,0.094,1.5526,-1.67,"Down" -"364",2002,-1.67,0.362,-1.704,-1.343,-1.654,1.5137,-0.267,"Down" -"365",2002,-0.267,-1.67,0.362,-1.704,-1.343,2.01429,1.758,"Up" -"366",2002,1.758,-0.267,-1.67,0.362,-1.704,1.9086,-0.083,"Down" -"367",2002,-0.083,1.758,-0.267,-1.67,0.362,2.117,-2.139,"Down" -"368",2002,-2.139,-0.083,1.758,-0.267,-1.67,1.4255,-2.123,"Down" -"369",2002,-2.123,-2.139,-0.083,1.758,-0.267,1.823,0.622,"Up" -"370",2002,0.622,-2.123,-2.139,-0.083,1.758,1.5278,3.673,"Up" -"371",2002,3.673,0.622,-2.123,-2.139,-0.083,0.6994,-1.218,"Down" -"372",2002,-1.218,3.673,0.622,-2.123,-2.139,1.1844,-2.472,"Down" -"373",2002,-2.472,-1.218,3.673,0.622,-2.123,1.3489,-3.396,"Down" -"374",2002,-3.396,-2.472,-1.218,3.673,0.622,1.8169,0.75,"Up" -"375",2002,0.75,-3.396,-2.472,-1.218,3.673,2.08048,-0.645,"Down" -"376",2002,-0.645,0.75,-3.396,-2.472,-1.218,1.6074,-0.376,"Down" -"377",2002,-0.376,-0.645,0.75,-3.396,-2.472,2.5748,-1.851,"Down" -"378",2002,-1.851,-0.376,-0.645,0.75,-3.396,1.8437,0.566,"Up" -"379",2002,0.566,-1.851,-0.376,-0.645,0.75,2.5665,-2.702,"Down" -"380",2002,-2.702,0.566,-1.851,-0.376,-0.645,1.7363,-3.835,"Down" -"381",2002,-3.835,-2.702,0.566,-1.851,-0.376,2.6541,-3.291,"Down" -"382",2002,-3.291,-3.835,-2.702,0.566,-1.851,2.24806,-2.702,"Down" -"383",2002,-2.702,-3.291,-3.835,-2.702,0.566,2.44102,5.733,"Up" -"384",2002,5.733,-2.702,-3.291,-3.835,-2.702,2.77556,-0.563,"Down" -"385",2002,-0.563,5.733,-2.702,-3.291,-3.835,2.4247,1.688,"Up" -"386",2002,1.688,-0.563,5.733,-2.702,-3.291,1.7961,5.408,"Up" -"387",2002,5.408,1.688,-0.563,5.733,-2.702,1.77865,0.425,"Up" -"388",2002,0.425,5.408,1.688,-0.563,5.733,1.82609,0.979,"Up" -"389",2002,0.979,0.425,5.408,1.688,-0.563,2.04936,-2.957,"Down" -"390",2002,-2.957,0.979,0.425,5.408,1.688,1.6722,-2.308,"Down" -"391",2002,-2.308,-2.957,0.979,0.425,5.408,1.5381,-3.43,"Down" -"392",2002,-3.43,-2.308,-2.957,0.979,0.425,1.4255,2.992,"Up" -"393",2002,2.992,-3.43,-2.308,-2.957,0.979,1.5141,2.001,"Up" -"394",2002,2.001,2.992,-3.43,-2.308,-2.957,1.4904,3.272,"Up" -"395",2002,3.272,2.001,2.992,-3.43,-2.308,1.6467,0.351,"Up" -"396",2002,0.351,3.272,2.001,2.992,-3.43,1.2949,-0.533,"Down" -"397",2002,-0.533,0.351,3.272,2.001,2.992,1.0365,-2.168,"Down" -"398",2002,-2.168,-0.533,0.351,3.272,2.001,1.2977,4.005,"Up" -"399",2002,4.005,-2.168,-0.533,0.351,3.272,1.5338,1.156,"Up" -"400",2002,1.156,4.005,-2.168,-0.533,0.351,1.5051,-0.159,"Down" -"401",2002,-0.159,1.156,4.005,-2.168,-0.533,1.2653,2.361,"Up" -"402",2002,2.361,-0.159,1.156,4.005,-2.168,1.2998,-1.396,"Down" -"403",2002,-1.396,2.361,-0.159,1.156,4.005,1.3085,1.273,"Up" -"404",2002,1.273,-1.396,2.361,-0.159,1.156,1.3531,1.405,"Up" -"405",2002,1.405,1.273,-1.396,2.361,-0.159,1.373,-2.269,"Down" -"406",2002,-2.269,1.405,1.273,-1.396,2.361,1.0715,0.754,"Up" -"407",2002,0.754,-2.269,1.405,1.273,-1.396,1.0169,-1.385,"Down" -"408",2002,-1.385,0.754,-2.269,1.405,1.273,1.3077,-1.813,"Down" -"409",2002,-1.813,-1.385,0.754,-2.269,1.405,1.1466,-0.008,"Down" -"410",2002,-0.008,-1.813,-1.385,0.754,-2.269,1.2711,-0.188,"Down" -"411",2002,-0.188,-0.008,-1.813,-1.385,0.754,0.9299,-4.154,"Down" -"412",2002,-4.154,-0.188,-0.008,-1.813,-1.385,1.2898,1.752,"Up" -"413",2002,1.752,-4.154,-0.188,-0.008,-1.813,1.3721,-1.595,"Down" -"414",2002,-1.595,1.752,-4.154,-0.188,-0.008,1.4013,1.68,"Up" -"415",2002,1.68,-1.595,1.752,-4.154,-0.188,1.1845,1.011,"Up" -"416",2002,1.011,1.68,-1.595,1.752,-4.154,1.1306,0.733,"Up" -"417",2002,0.733,1.011,1.68,-1.595,1.752,1.1864,-0.014,"Down" -"418",2002,-0.014,0.733,1.011,1.68,-1.595,0.8466,-2.478,"Down" -"419",2002,-2.478,-0.014,0.733,1.011,1.68,1.1916,0.327,"Up" -"420",2002,0.327,-2.478,-0.014,0.733,1.011,1.271,0.145,"Up" -"421",2002,0.145,0.327,-2.478,-0.014,0.733,1.0014,-1.973,"Down" -"422",2002,-1.973,0.145,0.327,-2.478,-0.014,1.4486,-0.465,"Down" -"423",2002,-0.465,-1.973,0.145,0.327,-2.478,1.501,-3.006,"Down" -"424",2002,-3.006,-0.465,-1.973,0.145,0.327,1.524,0.245,"Up" -"425",2002,0.245,-3.006,-0.465,-1.973,0.145,1.7928,-1.383,"Down" -"426",2002,-1.383,0.245,-3.006,-0.465,-1.973,1.3811,-1.728,"Down" -"427",2002,-1.728,-1.383,0.245,-3.006,-0.465,1.67024,2.486,"Up" -"428",2002,2.486,-1.728,-1.383,0.245,-3.006,1.6515,1.821,"Up" -"429",2002,1.821,2.486,-1.728,-1.383,0.245,1.65,-3.226,"Down" -"430",2002,-3.226,1.821,2.486,-1.728,-1.383,1.5073,-1.461,"Down" -"431",2002,-1.461,-3.226,1.821,2.486,-1.728,1.72187,4.002,"Up" -"432",2002,4.002,-1.461,-3.226,1.821,2.486,1.7809,-2.359,"Down" -"433",2002,-2.359,4.002,-1.461,-3.226,1.821,1.6689,-1.082,"Down" -"434",2002,-1.082,-2.359,4.002,-1.461,-3.226,1.6745,-2.243,"Down" -"435",2002,-2.243,-1.082,-2.359,4.002,-1.461,1.83593,-1.911,"Down" -"436",2002,-1.911,-2.243,-1.082,-2.359,4.002,1.5765,1.69,"Up" -"437",2002,1.69,-1.911,-2.243,-1.082,-2.359,1.93843,-2.729,"Down" -"438",2002,-2.729,1.69,-1.911,-2.243,-1.082,1.88503,3.497,"Up" -"439",2002,3.497,-2.729,1.69,-1.911,-2.243,2.09023,3.906,"Up" -"440",2002,3.906,3.497,-2.729,1.69,-1.911,1.85413,0.733,"Up" -"441",2002,0.733,3.906,3.497,-2.729,1.69,1.2003,4.734,"Up" -"442",2002,4.734,0.733,3.906,3.497,-2.729,1.956,-2.411,"Down" -"443",2002,-2.411,4.734,0.733,3.906,3.497,1.585,2.23,"Up" -"444",2002,2.23,-2.411,4.734,0.733,3.906,1.78039,0.59,"Up" -"445",2002,0.59,2.23,-2.411,4.734,0.733,1.4231,1.733,"Up" -"446",2002,1.733,0.59,2.23,-2.411,4.734,1.447,-1.063,"Down" -"447",2002,-1.063,1.733,0.59,2.23,-2.411,1.5492,0.672,"Up" -"448",2002,0.672,-1.063,1.733,0.59,2.23,1.5939,-1.522,"Down" -"449",2002,-1.522,0.672,-1.063,1.733,0.59,1.70057,1.717,"Up" -"450",2002,1.717,-1.522,0.672,-1.063,1.733,1.3404,-0.827,"Down" -"451",2002,-0.827,1.717,-1.522,0.672,-1.063,1.3826,-0.908,"Down" -"452",2002,-0.908,-0.827,1.717,-1.522,0.672,1.5297,0.97,"Up" -"453",2002,0.97,-0.908,-0.827,1.717,-1.522,1.4223,-0.556,"Down" -"454",2002,-0.556,0.97,-0.908,-0.827,1.717,1.6413,1.716,"Up" -"455",2002,1.716,-0.556,0.97,-0.908,-0.827,1.4504,0.82,"Up" -"456",2002,0.82,1.716,-0.556,0.97,-0.908,1.6459,0.775,"Up" -"457",2002,0.775,0.82,1.716,-0.556,0.97,1.3541,0.914,"Up" -"458",2002,0.914,0.775,0.82,1.716,-0.556,1.674,-2.285,"Down" -"459",2002,-2.285,0.914,0.775,0.82,1.716,1.4669,-0.876,"Down" -"460",2002,-0.876,-2.285,0.914,0.775,0.82,1.4465,-2.073,"Down" -"461",2002,-2.073,-0.876,-2.285,0.914,0.775,1.113,0.772,"Up" -"462",2002,0.772,-2.073,-0.876,-2.285,0.914,1.3771,-0.048,"Down" -"463",2002,-0.048,0.772,-2.073,-0.876,-2.285,1.4634,2.463,"Up" -"464",2002,2.463,-0.048,0.772,-2.073,-0.876,1.519,0.615,"Up" -"465",2002,0.615,2.463,-0.048,0.772,-2.073,1.4001,-1.041,"Down" -"466",2002,-1.041,0.615,2.463,-0.048,0.772,1.2826,-0.402,"Down" -"467",2002,-0.402,-1.041,0.615,2.463,-0.048,1.3374,1.941,"Up" -"468",2002,1.941,-0.402,-1.041,0.615,2.463,1.5173,2.145,"Up" -"469",2002,2.145,1.941,-0.402,-1.041,0.615,2.4151,-0.344,"Down" -"470",2002,-0.344,2.145,1.941,-0.402,-1.041,1.6268,0.249,"Up" -"471",2002,0.249,-0.344,2.145,1.941,-0.402,1.574,-2.097,"Down" -"472",2002,-2.097,0.249,-0.344,2.145,1.941,1.5436,2.799,"Up" -"473",2002,2.799,-2.097,0.249,-0.344,2.145,1.3503,-0.273,"Down" -"474",2002,-0.273,2.799,-2.097,0.249,-0.344,0.64346,-0.19,"Down" -"475",2002,-0.19,-0.273,2.799,-2.097,0.249,1.612,-1.475,"Down" -"476",2002,-1.475,-0.19,-0.273,2.799,-2.097,1.4884,-0.344,"Down" -"477",2002,-0.344,-1.475,-0.19,-0.273,2.799,1.5889,-1.202,"Down" -"478",2002,-1.202,-0.344,-1.475,-0.19,-0.273,1.2502,0.627,"Up" -"479",2002,0.627,-1.202,-0.344,-1.475,-0.19,1.2411,-2.218,"Down" -"480",2002,-2.218,0.627,-1.202,-0.344,-1.475,1.3208,1.396,"Up" -"481",2002,1.396,-2.218,0.627,-1.202,-0.344,1.2866,0.056,"Up" -"482",2002,0.056,1.396,-2.218,0.627,-1.202,1.2851,-0.373,"Down" -"483",2002,-0.373,0.056,1.396,-2.218,0.627,1.2553,-1.342,"Down" -"484",2002,-1.342,-0.373,0.056,1.396,-2.218,1.3308,2.352,"Up" -"485",2002,2.352,-1.342,-0.373,0.056,1.396,1.2716,-0.814,"Down" -"486",2002,-0.814,2.352,-1.342,-0.373,0.056,1.2518,-1.315,"Down" -"487",2002,-1.315,-0.814,2.352,-1.342,-0.373,1.4462,-0.771,"Down" -"488",2002,-0.771,-1.315,-0.814,2.352,-1.342,1.3859,1.302,"Up" -"489",2002,1.302,-0.771,-1.315,-0.814,2.352,1.78273,0.181,"Up" -"490",2002,0.181,1.302,-0.771,-1.315,-0.814,1.1121,-0.547,"Down" -"491",2002,-0.547,0.181,1.302,-0.771,-1.315,0.45831,-0.315,"Down" -"492",2002,-0.315,-0.547,0.181,1.302,-0.771,0.7211,-1.603,"Down" -"493",2002,-1.603,-0.315,-0.547,0.181,1.302,0.7584,0.456,"Up" -"494",2002,0.456,-1.603,-0.315,-0.547,0.181,1.0578,0.049,"Up" -"495",2003,0.049,0.456,-1.603,-0.315,-0.547,1.0885,3.32,"Up" -"496",2003,3.32,0.049,0.456,-1.603,-0.315,1.2292,-0.048,"Down" -"497",2003,-0.048,3.32,0.049,0.456,-1.603,1.1308,2.247,"Up" -"498",2003,2.247,-0.048,3.32,0.049,0.456,1.4359,-0.654,"Down" -"499",2003,-0.654,2.247,-0.048,3.32,0.049,1.5452,-1.409,"Down" -"500",2003,-1.409,-0.654,2.247,-0.048,3.32,1.4676,1.939,"Up" -"501",2003,1.939,-1.409,-0.654,2.247,-0.048,1.5603,0,"Up" -"502",2003,0,1.939,-1.409,-0.654,2.247,1.4854,-0.141,"Down" -"503",2003,-0.141,0,1.939,-1.409,-0.654,1.3963,0.583,"Up" -"504",2003,0.583,-0.141,0,1.939,-1.409,1.3794,-1.443,"Down" -"505",2003,-1.443,0.583,-0.141,0,1.939,1.4321,-0.394,"Down" -"506",2003,-0.394,-1.443,0.583,-0.141,0,1.5346,-1.402,"Down" -"507",2003,-1.402,-0.394,-1.443,0.583,-0.141,1.3582,-1.57,"Down" -"508",2003,-1.57,-1.402,-0.394,-1.443,0.583,1.3352,-1.043,"Down" -"509",2003,-1.043,-1.57,-1.402,-0.394,-1.443,1.5608,1.022,"Up" -"510",2003,1.022,-1.043,-1.57,-1.402,-0.394,1.74455,-2.923,"Down" -"511",2003,-2.923,1.022,-1.043,-1.57,-1.402,1.5748,-1.616,"Down" -"512",2003,-1.616,-2.923,1.022,-1.043,-1.57,1.4359,1.305,"Up" -"513",2003,1.305,-1.616,-2.923,1.022,-1.043,1.4591,0.678,"Up" -"514",2003,0.678,1.305,-1.616,-2.923,1.022,1.5954,-2.285,"Down" -"515",2003,-2.285,0.678,1.305,-1.616,-2.923,1.5103,1.313,"Up" -"516",2003,1.313,-2.285,0.678,1.305,-1.616,1.57853,0.54,"Up" -"517",2003,0.54,1.313,-2.285,0.678,1.305,1.2585,-1.409,"Down" -"518",2003,-1.409,0.54,1.313,-2.285,0.678,1.4516,-0.544,"Down" -"519",2003,-0.544,-1.409,0.54,1.313,-2.285,1.4508,-0.645,"Down" -"520",2003,-0.645,-0.544,-1.409,0.54,1.313,1.4309,-1.009,"Down" -"521",2003,-1.009,-0.645,-0.544,-1.409,0.54,1.2768,0.757,"Up" -"522",2003,0.757,-1.009,-0.645,-0.544,-1.409,1.2382,-0.81,"Down" -"523",2003,-0.81,0.757,-1.009,-0.645,-0.544,1.307,-1.269,"Down" -"524",2003,-1.269,-0.81,0.757,-1.009,-0.645,1.2605,-0.16,"Down" -"525",2003,-0.16,-1.269,-0.81,0.757,-1.009,1.4893,2.143,"Up" -"526",2003,2.143,-0.16,-1.269,-0.81,0.757,1.4046,1.95,"Up" -"527",2003,1.95,2.143,-0.16,-1.269,-0.81,1.2508,-0.71,"Down" -"528",2003,-0.71,1.95,2.143,-0.16,-1.269,1.0756,-0.95,"Down" -"529",2003,-0.95,-0.71,1.95,2.143,-0.16,1.1941,1.322,"Up" -"530",2003,1.322,-0.95,-0.71,1.95,2.143,1.3982,-1.838,"Down" -"531",2003,-1.838,1.322,-0.95,-0.71,1.95,1.2292,0.719,"Up" -"532",2003,0.719,-1.838,1.322,-0.95,-0.71,1.4837,-1.314,"Down" -"533",2003,-1.314,0.719,-1.838,1.322,-0.95,1.3744,1.176,"Up" -"534",2003,1.176,-1.314,0.719,-1.838,1.322,1.2878,0.462,"Up" -"535",2003,0.462,1.176,-1.314,0.719,-1.838,1.3733,-0.754,"Down" -"536",2003,-0.754,0.462,1.176,-1.314,0.719,1.2089,-1.536,"Down" -"537",2003,-1.536,-0.754,0.462,1.176,-1.314,1.2566,0.956,"Up" -"538",2003,0.956,-1.536,-0.754,0.462,1.176,1.3327,-0.934,"Down" -"539",2003,-0.934,0.956,-1.536,-0.754,0.462,1.2992,0.826,"Up" -"540",2003,0.826,-0.934,0.956,-1.536,-0.754,1.3685,-2.583,"Down" -"541",2003,-2.583,0.826,-0.934,0.956,-1.536,1.255,-0.836,"Down" -"542",2003,-0.836,-2.583,0.826,-0.934,0.956,1.4277,0.432,"Up" -"543",2003,0.432,-0.836,-2.583,0.826,-0.934,1.62,3.446,"Up" -"544",2003,3.446,0.432,-0.836,-2.583,0.826,1.8163,0.165,"Up" -"545",2003,0.165,3.446,0.432,-0.836,-2.583,1.5419,3.543,"Up" -"546",2003,3.543,0.165,3.446,0.432,-0.836,1.70042,0.424,"Up" -"547",2003,0.424,3.543,0.165,3.446,0.432,1.5551,0.874,"Up" -"548",2003,0.874,0.424,3.543,0.165,3.446,1.4734,0.189,"Up" -"549",2003,0.189,0.874,0.424,3.543,0.165,1.4391,2.298,"Up" -"550",2003,2.298,0.189,0.874,0.424,3.543,1.88371,-3.523,"Down" -"551",2003,-3.523,2.298,0.189,0.874,0.424,1.293,1.216,"Up" -"552",2003,1.216,-3.523,2.298,0.189,0.874,1.3334,-0.548,"Down" -"553",2003,-0.548,1.216,-3.523,2.298,0.189,1.3197,-0.164,"Down" -"554",2003,-0.164,-0.548,1.216,-3.523,2.298,1.2329,-0.578,"Down" -"555",2003,-0.578,-0.164,-0.548,1.216,-3.523,1.227,-1.774,"Down" -"556",2003,-1.774,-0.578,-0.164,-0.548,1.216,1.4955,1.214,"Up" -"557",2003,1.214,-1.774,-0.578,-0.164,-0.548,1.4616,2.612,"Up" -"558",2003,2.612,1.214,-1.774,-0.578,-0.164,1.5898,-0.505,"Down" -"559",2003,-0.505,2.612,1.214,-1.774,-0.578,1.3395,0.274,"Up" -"560",2003,0.274,-0.505,2.612,1.214,-1.774,1.2412,0.123,"Up" -"561",2003,0.123,0.274,-0.505,2.612,1.214,1.494,-0.186,"Down" -"562",2003,-0.186,0.123,0.274,-0.505,2.612,1.2354,-1.4,"Down" -"563",2003,-1.4,-0.186,0.123,0.274,-0.505,1.2937,0.646,"Up" -"564",2003,0.646,-1.4,-0.186,0.123,0.274,1.2753,-0.376,"Down" -"565",2003,-0.376,0.646,-1.4,-0.186,0.123,1.1416,1.95,"Up" -"566",2003,1.95,-0.376,0.646,-1.4,-0.186,1.131,0.63,"Up" -"567",2003,0.63,1.95,-0.376,0.646,-1.4,1.4602,-1.224,"Down" -"568",2003,-1.224,0.63,1.95,-0.376,0.646,1.5876,1.554,"Up" -"569",2003,1.554,-1.224,0.63,1.95,-0.376,1.4306,-0.176,"Down" -"570",2003,-0.176,1.554,-1.224,0.63,1.95,1.1187,2.17,"Up" -"571",2003,2.17,-0.176,1.554,-1.224,0.63,1.6312,0.839,"Up" -"572",2003,0.839,2.17,-0.176,1.554,-1.224,1.6672,-0.826,"Down" -"573",2003,-0.826,0.839,2.17,-0.176,1.554,1.6481,-1.385,"Down" -"574",2003,-1.385,-0.826,0.839,2.17,-0.176,1.3358,1.783,"Up" -"575",2003,1.783,-1.385,-0.826,0.839,2.17,1.273,0.328,"Up" -"576",2003,0.328,1.783,-1.385,-0.826,0.839,1.5256,-0.1,"Down" -"577",2003,-0.1,0.328,1.783,-1.385,-0.826,1.78851,-0.068,"Down" -"578",2003,-0.068,-0.1,0.328,1.783,-1.385,1.3975,1.504,"Up" -"579",2003,1.504,-0.068,-0.1,0.328,1.783,1.5543,-0.38,"Down" -"580",2003,-0.38,1.504,-0.068,-0.1,0.328,1.4463,0.846,"Up" -"581",2003,0.846,-0.38,1.504,-0.068,-0.1,1.6496,-0.51,"Down" -"582",2003,-0.51,0.846,-0.38,1.504,-0.068,1.5319,-1.006,"Down" -"583",2003,-1.006,-0.51,0.846,-0.38,1.504,1.3796,1.428,"Up" -"584",2003,1.428,-1.006,-0.51,0.846,-0.38,1.3261,1.253,"Up" -"585",2003,1.253,1.428,-1.006,-0.51,0.846,1.3788,-0.297,"Down" -"586",2003,-0.297,1.253,1.428,-1.006,-0.51,1.4181,-0.32,"Down" -"587",2003,-0.32,-0.297,1.253,1.428,-1.006,1.4018,0.787,"Up" -"588",2003,0.787,-0.32,-0.297,1.253,1.428,1.5087,-0.25,"Down" -"589",2003,-0.25,0.787,-0.32,-0.297,1.253,1.5055,-2.492,"Down" -"590",2003,-2.492,-0.25,0.787,-0.32,-0.297,1.3757,-0.113,"Down" -"591",2003,-0.113,-2.492,-0.25,0.787,-0.32,1.5053,0.401,"Up" -"592",2003,0.401,-0.113,-2.492,-0.25,0.787,1.4578,0.915,"Up" -"593",2003,0.915,0.401,-0.113,-2.492,-0.25,1.4485,0.145,"Up" -"594",2003,0.145,0.915,0.401,-0.113,-2.492,1.201,1.957,"Up" -"595",2003,1.957,0.145,0.915,0.401,-0.113,1.532,0.183,"Up" -"596",2003,0.183,1.957,0.145,0.915,0.401,1.559,-0.376,"Down" -"597",2003,-0.376,0.183,1.957,0.145,0.915,1.6858,1.469,"Up" -"598",2003,1.469,-0.376,0.183,1.957,0.145,1.6888,0.354,"Up" -"599",2003,0.354,1.469,-0.376,0.183,1.957,1.6625,0.472,"Up" -"600",2003,0.472,0.354,1.469,-0.376,0.183,1.4502,1.511,"Up" -"601",2003,1.511,0.472,0.354,1.469,-0.376,1.6187,0.395,"Up" -"602",2003,0.395,1.511,0.472,0.354,1.469,1.6931,-0.24,"Down" -"603",2003,-0.24,0.395,1.511,0.472,0.354,1.8372,-1.198,"Down" -"604",2003,-1.198,-0.24,0.395,1.511,0.472,1.307,0.913,"Up" -"605",2003,0.913,-1.198,-0.24,0.395,1.511,1.2754,1.283,"Up" -"606",2003,1.283,0.913,-1.198,-0.24,0.395,1.52,0.103,"Up" -"607",2003,0.103,1.283,0.913,-1.198,-0.24,1.5531,-0.991,"Down" -"608",2003,-0.991,0.103,1.283,0.913,-1.198,1.2716,2.238,"Up" -"609",2003,2.238,-0.991,0.103,1.283,0.913,1.3459,0.091,"Up" -"610",2003,0.091,2.238,-0.991,0.103,1.283,1.4797,-0.155,"Down" -"611",2003,-0.155,0.091,2.238,-0.991,0.103,1.4889,-1.524,"Down" -"612",2003,-1.524,-0.155,0.091,2.238,-0.991,1.5301,0.1,"Up" -"613",2003,0.1,-1.524,-0.155,0.091,2.238,1.698,-1.411,"Down" -"614",2003,-1.411,0.1,-1.524,-0.155,0.091,1.3981,0.184,"Up" -"615",2003,0.184,-1.411,0.1,-1.524,-0.155,1.3883,-0.827,"Down" -"616",2003,-0.827,0.184,-1.411,0.1,-1.524,1.4592,1.077,"Up" -"617",2003,1.077,-0.827,0.184,-1.411,0.1,1.3874,-0.974,"Down" -"618",2003,-0.974,1.077,-0.827,0.184,-1.411,1.2678,-0.176,"Down" -"619",2003,-0.176,-0.974,1.077,-0.827,0.184,1.5872,0.802,"Up" -"620",2003,0.802,-0.176,-0.974,1.077,-0.827,1.4602,1.164,"Up" -"621",2003,1.164,0.802,-0.176,-0.974,1.077,1.5193,-0.81,"Down" -"622",2003,-0.81,1.164,0.802,-0.176,-0.974,0.7759,1.899,"Up" -"623",2003,1.899,-0.81,1.164,0.802,-0.176,1.4291,0.34,"Up" -"624",2003,0.34,1.899,-0.81,1.164,0.802,1.5657,-0.559,"Down" -"625",2003,-0.559,0.34,1.899,-0.81,1.164,1.618,-1.348,"Down" -"626",2003,-1.348,-0.559,0.34,1.899,-0.81,1.4657,0.955,"Up" -"627",2003,0.955,-1.348,-0.559,0.34,1.899,1.2127,0.573,"Up" -"628",2003,0.573,0.955,-1.348,-0.559,0.34,1.4489,-0.343,"Down" -"629",2003,-0.343,0.573,0.955,-1.348,-0.559,1.5186,-0.633,"Down" -"630",2003,-0.633,-0.343,0.573,0.955,-1.348,1.662,-1.243,"Down" -"631",2003,-1.243,-0.633,-0.343,0.573,0.955,1.6614,1.181,"Up" -"632",2003,1.181,-1.243,-0.633,-0.343,0.573,1.3652,-1.462,"Down" -"633",2003,-1.462,1.181,-1.243,-0.633,-0.343,1.2542,0.951,"Up" -"634",2003,0.951,-1.462,1.181,-1.243,-0.633,1.4397,0.051,"Up" -"635",2003,0.051,0.951,-1.462,1.181,-1.243,1.3627,-0.709,"Down" -"636",2003,-0.709,0.051,0.951,-1.462,1.181,1.559,1.74,"Up" -"637",2003,1.74,-0.709,0.051,0.951,-1.462,1.3975,-0.216,"Down" -"638",2003,-0.216,1.74,-0.709,0.051,0.951,1.3286,-0.727,"Down" -"639",2003,-0.727,-0.216,1.74,-0.709,0.051,1.5089,-0.181,"Down" -"640",2003,-0.181,-0.727,-0.216,1.74,-0.709,1.3919,0.286,"Up" -"641",2003,0.286,-0.181,-0.727,-0.216,1.74,1.608,-1.026,"Down" -"642",2003,-1.026,0.286,-0.181,-0.727,-0.216,1.3906,0.272,"Up" -"643",2003,0.272,-1.026,0.286,-0.181,-0.727,1.3187,-1.766,"Down" -"644",2003,-1.766,0.272,-1.026,0.286,-0.181,1.3517,0.168,"Up" -"645",2003,0.168,-1.766,0.272,-1.026,0.286,1.491,0.728,"Up" -"646",2003,0.728,0.168,-1.766,0.272,-1.026,1.3893,0.356,"Up" -"647",2003,0.356,0.728,0.168,-1.766,0.272,1.0866,0.307,"Up" -"648",2003,0.307,0.356,0.728,0.168,-1.766,1.0222,0.995,"Up" -"649",2003,0.995,0.307,0.356,0.728,0.168,1.1323,-0.638,"Down" -"650",2003,-0.638,0.995,0.307,0.356,0.728,1.2088,0.659,"Up" -"651",2003,0.659,-0.638,0.995,0.307,0.356,1.1868,0.016,"Up" -"652",2003,0.016,0.659,-0.638,0.995,0.307,0.63637,0.916,"Up" -"653",2003,0.916,0.016,0.659,-0.638,0.995,1.1276,0.261,"Up" -"654",2003,0.261,0.916,0.016,0.659,-0.638,1.3006,-0.205,"Down" -"655",2003,-0.205,0.261,0.916,0.016,0.659,1.2108,0.297,"Up" -"656",2003,0.297,-0.205,0.261,0.916,0.016,1.4071,-1.018,"Down" -"657",2003,-1.018,0.297,-0.205,0.261,0.916,1.3089,0.065,"Up" -"658",2003,0.065,-1.018,0.297,-0.205,0.261,0.9717,0.304,"Up" -"659",2003,0.304,0.065,-1.018,0.297,-0.205,1.1787,0.006,"Up" -"660",2003,0.006,0.304,0.065,-1.018,0.297,1.0514,0.607,"Up" -"661",2003,0.607,0.006,0.304,0.065,-1.018,1.1652,0.516,"Up" -"662",2003,0.516,0.607,0.006,0.304,0.065,0.9451,1.387,"Up" -"663",2003,1.387,0.516,0.607,0.006,0.304,1.4705,0.419,"Up" -"664",2003,0.419,1.387,0.516,0.607,0.006,1.6756,0.166,"Up" -"665",2003,0.166,0.419,1.387,0.516,0.607,1.4539,-0.64,"Down" -"666",2003,-0.64,0.166,0.419,1.387,0.516,1.4652,1.004,"Up" -"667",2003,1.004,-0.64,0.166,0.419,1.387,1.2993,-0.821,"Down" -"668",2003,-0.821,1.004,-0.64,0.166,0.419,1.4148,-1.197,"Down" -"669",2003,-1.197,-0.821,1.004,-0.64,0.166,1.5821,0.544,"Up" -"670",2003,0.544,-1.197,-0.821,1.004,-0.64,1.3359,0.217,"Up" -"671",2003,0.217,0.544,-1.197,-0.821,1.004,1.2367,-0.375,"Down" -"672",2003,-0.375,0.217,0.544,-1.197,-0.821,1.1513,1.43,"Up" -"673",2003,1.43,-0.375,0.217,0.544,-1.197,1.4032,-0.325,"Down" -"674",2003,-0.325,1.43,-0.375,0.217,0.544,1.33821,1.327,"Up" -"675",2003,1.327,-0.325,1.43,-0.375,0.217,1.4988,-0.316,"Down" -"676",2003,-0.316,1.327,-0.325,1.43,-0.375,1.5186,-1.301,"Down" -"677",2003,-1.301,-0.316,1.327,-0.325,1.43,1.2788,0.607,"Up" -"678",2003,0.607,-1.301,-0.316,1.327,-0.325,1.3017,-1.91,"Down" -"679",2003,-1.91,0.607,-1.301,-0.316,1.327,1.556,-0.605,"Down" -"680",2003,-0.605,-1.91,0.607,-1.301,-0.316,1.53,-0.64,"Down" -"681",2003,-0.64,-0.605,-1.91,0.607,-1.301,1.4725,0.976,"Up" -"682",2003,0.976,-0.64,-0.605,-1.91,0.607,1.3665,-1.054,"Down" -"683",2003,-1.054,0.976,-0.64,-0.605,-1.91,1.5905,2.234,"Up" -"684",2003,2.234,-1.054,0.976,-0.64,-0.605,1.5663,0.198,"Up" -"685",2003,0.198,2.234,-1.054,0.976,-0.64,1.2693,0.942,"Up" -"686",2003,0.942,0.198,2.234,-1.054,0.976,1.5705,0.437,"Up" -"687",2003,0.437,0.942,0.198,2.234,-1.054,1.0258,0.474,"Up" -"688",2003,0.474,0.437,0.942,0.198,2.234,1.2795,-0.526,"Down" -"689",2003,-0.526,0.474,0.437,0.942,0.198,1.2625,0.479,"Up" -"690",2003,0.479,-0.526,0.474,0.437,0.942,1.5787,-0.065,"Down" -"691",2003,-0.065,0.479,-0.526,0.474,0.437,1.1081,0.702,"Up" -"692",2003,0.702,-0.065,0.479,-0.526,0.474,1.0405,0.395,"Up" -"693",2003,0.395,0.702,-0.065,0.479,-0.526,1.2719,-0.259,"Down" -"694",2003,-0.259,0.395,0.702,-0.065,0.479,1.5211,0.316,"Up" -"695",2003,0.316,-0.259,0.395,0.702,-0.065,1.4177,-1.024,"Down" -"696",2003,-1.024,0.316,-0.259,0.395,0.702,1.352,0.516,"Up" -"697",2003,0.516,-1.024,0.316,-0.259,0.395,1.1726,0.129,"Up" -"698",2003,0.129,0.516,-1.024,0.316,-0.259,1.498,-1.498,"Down" -"699",2003,-1.498,0.129,0.516,-1.024,0.316,1.6472,0.331,"Up" -"700",2003,0.331,-1.498,0.129,0.516,-1.024,1.6043,-0.47,"Down" -"701",2003,-0.47,0.331,-1.498,0.129,0.516,1.4203,0.216,"Up" -"702",2003,0.216,-0.47,0.331,-1.498,0.129,1.3718,1.519,"Up" -"703",2003,1.519,0.216,-0.47,0.331,-1.498,1.6292,0.126,"Up" -"704",2003,0.126,1.519,0.216,-0.47,0.331,1.5626,-0.112,"Down" -"705",2003,-0.112,0.126,1.519,0.216,-0.47,1.6297,0.36,"Up" -"706",2003,0.36,-0.112,0.126,1.519,0.216,1.4989,0.791,"Up" -"707",2003,0.791,0.36,-0.112,0.126,1.519,1.3782,-0.545,"Down" -"708",2003,-0.545,0.791,0.36,-0.112,0.126,1.4176,-0.137,"Down" -"709",2003,-0.137,-0.545,0.791,0.36,-0.112,1.4018,0.593,"Up" -"710",2003,0.593,-0.137,-0.545,0.791,0.36,1.4539,-0.457,"Down" -"711",2003,-0.457,0.593,-0.137,-0.545,0.791,1.4405,-0.579,"Down" -"712",2003,-0.579,-0.457,0.593,-0.137,-0.545,1.2436,-0.052,"Down" -"713",2003,-0.052,-0.579,-0.457,0.593,-0.137,1.1625,1.143,"Up" -"714",2003,1.143,-0.052,-0.579,-0.457,0.593,1.3493,-0.011,"Down" -"715",2003,-0.011,1.143,-0.052,-0.579,-0.457,1.383,-0.762,"Down" -"716",2003,-0.762,-0.011,1.143,-0.052,-0.579,1.3561,-0.64,"Down" -"717",2003,-0.64,-0.762,-0.011,1.143,-0.052,1.3743,-0.908,"Down" -"718",2003,-0.908,-0.64,-0.762,-0.011,1.143,1.3543,0.802,"Up" -"719",2003,0.802,-0.908,-0.64,-0.762,-0.011,1.3262,-0.843,"Down" -"720",2003,-0.843,0.802,-0.908,-0.64,-0.762,1.3267,0.158,"Up" -"721",2003,0.158,-0.843,0.802,-0.908,-0.64,1.2738,1.623,"Up" -"722",2003,1.623,0.158,-0.843,0.802,-0.908,1.3028,0.172,"Up" -"723",2003,0.172,1.623,0.158,-0.843,0.802,1.3337,0.433,"Up" -"724",2003,0.433,0.172,1.623,0.158,-0.843,1.0977,-0.024,"Down" -"725",2003,-0.024,0.433,0.172,1.623,0.158,0.48722,1.126,"Up" -"726",2003,1.126,-0.024,0.433,0.172,1.623,1.375,-0.327,"Down" -"727",2003,-0.327,1.126,-0.024,0.433,0.172,1.3832,-0.177,"Down" -"728",2003,-0.177,-0.327,1.126,-0.024,0.433,1.4417,0.469,"Up" -"729",2003,0.469,-0.177,-0.327,1.126,-0.024,1.4631,-0.768,"Down" -"730",2003,-0.768,0.469,-0.177,-0.327,1.126,1.2659,0.735,"Up" -"731",2003,0.735,-0.768,0.469,-0.177,-0.327,1.2189,-0.853,"Down" -"732",2003,-0.853,0.735,-0.768,0.469,-0.177,1.4655,-0.107,"Down" -"733",2003,-0.107,-0.853,0.735,-0.768,0.469,1.444,1.148,"Up" -"734",2003,1.148,-0.107,-0.853,0.735,-0.768,1.4411,0.274,"Up" -"735",2003,0.274,1.148,-0.107,-0.853,0.735,1.2231,-0.568,"Down" -"736",2003,-0.568,0.274,1.148,-0.107,-0.853,1.5208,0.664,"Up" -"737",2003,0.664,-0.568,0.274,1.148,-0.107,1.5479,0.126,"Up" -"738",2003,0.126,0.664,-0.568,0.274,1.148,1.4417,1.18,"Up" -"739",2003,1.18,0.126,0.664,-0.568,0.274,1.5799,-0.048,"Down" -"740",2003,-0.048,1.18,0.126,0.664,-0.568,1.6573,0.393,"Up" -"741",2003,0.393,-0.048,1.18,0.126,0.664,1.2517,0.282,"Up" -"742",2003,0.282,0.393,-0.048,1.18,0.126,1.1453,-0.181,"Down" -"743",2003,-0.181,0.282,0.393,-0.048,1.18,0.51806,0.169,"Up" -"744",2003,0.169,-0.181,0.282,0.393,-0.048,0.35607,1.24,"Up" -"745",2003,1.24,0.169,-0.181,0.282,0.393,1.0588,0.014,"Up" -"746",2003,0.014,1.24,0.169,-0.181,0.282,1.0126,0.205,"Up" -"747",2004,0.205,0.014,1.24,0.169,-0.181,1.0275,-0.309,"Down" -"748",2004,-0.309,0.205,0.014,1.24,0.169,1.1532,1.24,"Up" -"749",2004,1.24,-0.309,0.205,0.014,1.24,1.5782,0.129,"Up" -"750",2004,0.129,1.24,-0.309,0.205,0.014,1.4945,0.237,"Up" -"751",2004,0.237,0.129,1.24,-0.309,0.205,1.7049,0.496,"Up" -"752",2004,0.496,0.237,0.129,1.24,-0.309,1.8684,-0.889,"Down" -"753",2004,-0.889,0.496,0.237,0.129,1.24,1.7207,0.479,"Up" -"754",2004,0.479,-0.889,0.496,0.237,0.129,1.5102,-0.533,"Down" -"755",2004,-0.533,0.479,-0.889,0.496,0.237,1.5959,0.829,"Up" -"756",2004,0.829,-0.533,0.479,-0.889,0.496,1.5146,0.135,"Up" -"757",2004,0.135,0.829,-0.533,0.479,-0.889,1.695,0.687,"Up" -"758",2004,0.687,0.135,0.829,-0.533,0.479,1.7211,-0.093,"Down" -"759",2004,-0.093,0.687,0.135,0.829,-0.533,1.6982,0.777,"Up" -"760",2004,0.777,-0.093,0.687,0.135,0.829,1.7576,-0.321,"Down" -"761",2004,-0.321,0.777,-0.093,0.687,0.135,1.6937,-0.209,"Down" -"762",2004,-0.209,-0.321,0.777,-0.093,0.687,1.5612,1.211,"Up" -"763",2004,1.211,-0.209,-0.321,0.777,-0.093,1.4806,-0.98,"Down" -"764",2004,-0.98,1.211,-0.209,-0.321,0.777,1.6731,-1.361,"Down" -"765",2004,-1.361,-0.98,1.211,-0.209,-0.321,1.842,0.499,"Up" -"766",2004,0.499,-1.361,-0.98,1.211,-0.209,1.9219,-0.263,"Down" -"767",2004,-0.263,0.499,-1.361,-0.98,1.211,1.635,0.365,"Up" -"768",2004,0.365,-0.263,0.499,-1.361,-0.98,1.5992,0.068,"Up" -"769",2004,0.068,0.365,-0.263,0.499,-1.361,1.4769,-0.837,"Down" -"770",2004,-0.837,0.068,0.365,-0.263,0.499,1.6348,0.184,"Up" -"771",2004,0.184,-0.837,0.068,0.365,-0.263,1.5666,1.256,"Up" -"772",2004,1.256,0.184,-0.837,0.068,0.365,1.4776,-0.258,"Down" -"773",2004,-0.258,1.256,0.184,-0.837,0.068,1.3035,0.503,"Up" -"774",2004,0.503,-0.258,1.256,0.184,-0.837,1.4039,1.067,"Up" -"775",2004,1.067,0.503,-0.258,1.256,0.184,1.6993,-0.488,"Down" -"776",2004,-0.488,1.067,0.503,-0.258,1.256,1.4643,-0.547,"Down" -"777",2004,-0.547,-0.488,1.067,0.503,-0.258,1.3292,0.976,"Up" -"778",2004,0.976,-0.547,-0.488,1.067,0.503,1.3965,-0.447,"Down" -"779",2004,-0.447,0.976,-0.547,-0.488,1.067,1.3824,-0.413,"Down" -"780",2004,-0.413,-0.447,0.976,-0.547,-0.488,1.5628,-0.257,"Down" -"781",2004,-0.257,-0.413,-0.447,0.976,-0.547,1.4796,-0.273,"Down" -"782",2004,-0.273,-0.257,-0.413,-0.447,0.976,1.3804,-0.167,"Down" -"783",2004,-0.167,-0.273,-0.257,-0.413,-0.447,1.5436,0.402,"Up" -"784",2004,0.402,-0.167,-0.273,-0.257,-0.413,1.3607,0.108,"Up" -"785",2004,0.108,0.402,-0.167,-0.273,-0.257,1.3839,0.003,"Up" -"786",2004,0.003,0.108,0.402,-0.167,-0.273,1.5404,0.963,"Up" -"787",2004,0.963,0.003,0.108,0.402,-0.167,1.4971,-0.594,"Down" -"788",2004,-0.594,0.963,0.003,0.108,0.402,1.476,0.168,"Up" -"789",2004,0.168,-0.594,0.963,0.003,0.108,1.3345,0.334,"Up" -"790",2004,0.334,0.168,-0.594,0.963,0.003,1.2658,0.172,"Up" -"791",2004,0.172,0.334,0.168,-0.594,0.963,1.3982,-0.835,"Down" -"792",2004,-0.835,0.172,0.334,0.168,-0.594,1.2544,-0.577,"Down" -"793",2004,-0.577,-0.835,0.172,0.334,0.168,1.4994,-1.463,"Down" -"794",2004,-1.463,-0.577,-0.835,0.172,0.334,1.6484,-1.522,"Down" -"795",2004,-1.522,-1.463,-0.577,-0.835,0.172,1.8899,1.246,"Up" -"796",2004,1.246,-1.522,-1.463,-0.577,-0.835,1.3885,-1.435,"Down" -"797",2004,-1.435,1.246,-1.522,-1.463,-0.577,1.6006,0.562,"Up" -"798",2004,0.562,-1.435,1.246,-1.522,-1.463,1.5007,1.175,"Up" -"799",2004,1.175,0.562,-1.435,1.246,-1.522,1.4901,-0.127,"Down" -"800",2004,-0.127,1.175,0.562,-1.435,1.246,1.3692,-1.117,"Down" -"801",2004,-1.117,-0.127,1.175,0.562,-1.435,1.4574,-1.296,"Down" -"802",2004,-1.296,-1.117,-0.127,1.175,0.562,1.4523,-0.132,"Down" -"803",2004,-0.132,-1.296,-1.117,-0.127,1.175,1.4582,-0.239,"Down" -"804",2004,-0.239,-0.132,-1.296,-1.117,-0.127,1.5278,1.637,"Up" -"805",2004,1.637,-0.239,-0.132,-1.296,-1.117,1.4717,-0.102,"Down" -"806",2004,-0.102,1.637,-0.239,-0.132,-1.296,1.3191,1.3,"Up" -"807",2004,1.3,-0.102,1.637,-0.239,-0.132,1.4055,0.404,"Up" -"808",2004,0.404,1.3,-0.102,1.637,-0.239,1.3324,-0.07,"Down" -"809",2004,-0.07,0.404,1.3,-0.102,1.637,1.5607,0.529,"Up" -"810",2004,0.529,-0.07,0.404,1.3,-0.102,1.5607,0.851,"Up" -"811",2004,0.851,0.529,-0.07,0.404,1.3,1.6292,0.767,"Up" -"812",2004,0.767,0.851,0.529,-0.07,0.404,1.4137,-0.209,"Down" -"813",2004,-0.209,0.767,0.851,0.529,-0.07,1.3977,-0.665,"Down" -"814",2004,-0.665,-0.209,0.767,0.851,0.529,1.4588,-0.106,"Down" -"815",2004,-0.106,-0.665,-0.209,0.767,0.851,1.1998,0.516,"Up" -"816",2004,0.516,-0.106,-0.665,-0.209,0.767,1.1024,-1.376,"Down" -"817",2004,-1.376,0.516,-0.106,-0.665,-0.209,1.4232,-0.112,"Down" -"818",2004,-0.112,-1.376,0.516,-0.106,-0.665,1.5477,0.059,"Up" -"819",2004,0.059,-0.112,-1.376,0.516,-0.106,1.5687,0.511,"Up" -"820",2004,0.511,0.059,-0.112,-1.376,0.516,1.4878,0.107,"Up" -"821",2004,0.107,0.511,0.059,-0.112,-1.376,1.1949,-1.556,"Down" -"822",2004,-1.556,0.107,0.511,0.059,-0.112,1.5085,0.531,"Up" -"823",2004,0.531,-1.556,0.107,0.511,0.059,1.7381,1.409,"Up" -"824",2004,1.409,0.531,-1.556,0.107,0.511,1.8267,0.059,"Up" -"825",2004,0.059,1.409,0.531,-1.556,0.107,1.3961,-0.445,"Down" -"826",2004,-0.445,0.059,1.409,0.531,-1.556,1.2906,0.227,"Up" -"827",2004,0.227,-0.445,0.059,1.409,0.531,1.518,-1.379,"Down" -"828",2004,-1.379,0.227,-0.445,0.059,1.409,1.8556,-0.759,"Down" -"829",2004,-0.759,-1.379,0.227,-0.445,0.059,1.859,-0.592,"Down" -"830",2004,-0.592,-0.759,-1.379,0.227,-0.445,1.6347,0.92,"Up" -"831",2004,0.92,-0.592,-0.759,-1.379,0.227,1.5716,0.184,"Up" -"832",2004,0.184,0.92,-0.592,-0.759,-1.379,1.6621,0.177,"Up" -"833",2004,0.177,0.184,0.92,-0.592,-0.759,1.469,-0.672,"Down" -"834",2004,-0.672,0.177,0.184,0.92,-0.592,1.5093,-1.373,"Down" -"835",2004,-1.373,-0.672,0.177,0.184,0.92,1.6536,-1.054,"Down" -"836",2004,-1.054,-1.373,-0.672,0.177,0.184,1.9184,0.766,"Up" -"837",2004,0.766,-1.054,-1.373,-0.672,0.177,1.5338,0.167,"Up" -"838",2004,0.167,0.766,-1.054,-1.373,-0.672,1.6976,-0.077,"Down" -"839",2004,-0.077,0.167,0.766,-1.054,-1.373,1.4111,-0.067,"Down" -"840",2004,-0.067,-0.077,0.167,0.766,-1.054,1.3359,-1.059,"Down" -"841",2004,-1.059,-0.067,-0.077,0.167,0.766,1.4301,0.682,"Up" -"842",2004,0.682,-1.059,-0.067,-0.077,0.167,1.353,-0.257,"Down" -"843",2004,-0.257,0.682,-1.059,-0.067,-0.077,1.5486,0.047,"Up" -"844",2004,0.047,-0.257,0.682,-1.059,-0.067,1.211,0.401,"Up" -"845",2004,0.401,0.047,-0.257,0.682,-1.059,1.2586,0.169,"Up" -"846",2004,0.169,0.401,0.047,-0.257,0.682,1.2275,1.61,"Up" -"847",2004,1.61,0.169,0.401,0.047,-0.257,1.5457,0.17,"Up" -"848",2004,0.17,1.61,0.169,0.401,0.047,1.3694,0.569,"Up" -"849",2004,0.569,0.17,1.61,0.169,0.401,1.4475,-0.054,"Down" -"850",2004,-0.054,0.569,0.17,1.61,0.169,1.1726,0.046,"Up" -"851",2004,0.046,-0.054,0.569,0.17,1.61,1.238,0.338,"Up" -"852",2004,0.338,0.046,-0.054,0.569,0.17,1.2517,-0.742,"Down" -"853",2004,-0.742,0.338,0.046,-0.054,0.569,1.2324,0.525,"Up" -"854",2004,0.525,-0.742,0.338,0.046,-0.054,1.1153,1.596,"Up" -"855",2004,1.596,0.525,-0.742,0.338,0.046,1.2118,0.154,"Up" -"856",2004,0.154,1.596,0.525,-0.742,0.338,1.1903,-0.95,"Down" -"857",2004,-0.95,0.154,1.596,0.525,-0.742,1.2768,0.454,"Up" -"858",2004,0.454,-0.95,0.154,1.596,0.525,1.1606,-0.984,"Down" -"859",2004,-0.984,0.454,-0.95,0.154,1.596,1.1794,0.597,"Up" -"860",2004,0.597,-0.984,0.454,-0.95,0.154,1.3459,0.137,"Up" -"861",2004,0.137,0.597,-0.984,0.454,-0.95,1.1684,-0.133,"Down" -"862",2004,-0.133,0.137,0.597,-0.984,0.454,1.2967,0.262,"Up" -"863",2004,0.262,-0.133,0.137,0.597,-0.984,1.5006,-0.416,"Down" -"864",2004,-0.416,0.262,-0.133,0.137,0.597,1.1239,0.364,"Up" -"865",2004,0.364,-0.416,0.262,-0.133,0.137,1.3823,0.851,"Up" -"866",2004,0.851,0.364,-0.416,0.262,-0.133,1.4442,-0.298,"Down" -"867",2004,-0.298,0.851,0.364,-0.416,0.262,1.3949,-0.545,"Down" -"868",2004,-0.545,-0.298,0.851,0.364,-0.416,1.8129,-0.095,"Down" -"869",2004,-0.095,-0.545,-0.298,0.851,0.364,1.3546,0.251,"Up" -"870",2004,0.251,-0.095,-0.545,-0.298,0.851,1.375,0.408,"Up" -"871",2004,0.408,0.251,-0.095,-0.545,-0.298,1.4738,-1.043,"Down" -"872",2004,-1.043,0.408,0.251,-0.095,-0.545,1.4957,-0.315,"Down" -"873",2004,-0.315,-1.043,0.408,0.251,-0.095,1.085,-0.815,"Down" -"874",2004,-0.815,-0.315,-1.043,0.408,0.251,1.2833,0.19,"Up" -"875",2004,0.19,-0.815,-0.315,-1.043,0.408,1.3286,-0.824,"Down" -"876",2004,-0.824,0.19,-0.815,-0.315,-1.043,1.4011,0.334,"Up" -"877",2004,0.334,-0.824,0.19,-0.815,-0.315,1.1863,0.138,"Up" -"878",2004,0.138,0.334,-0.824,0.19,-0.815,1.1146,0.071,"Up" -"879",2004,0.071,0.138,0.334,-0.824,0.19,1.1997,-0.329,"Down" -"880",2004,-0.329,0.071,0.138,0.334,-0.824,1.462,-0.43,"Down" -"881",2004,-0.43,-0.329,0.071,0.138,0.334,1.4087,-0.479,"Down" -"882",2004,-0.479,-0.43,-0.329,0.071,0.138,1.4503,-0.044,"Down" -"883",2004,-0.044,-0.479,-0.43,-0.329,0.071,1.3199,0.706,"Up" -"884",2004,0.706,-0.044,-0.479,-0.43,-0.329,1.4458,-1.334,"Down" -"885",2004,-1.334,0.706,-0.044,-0.479,-0.43,1.6795,0.271,"Up" -"886",2004,0.271,-1.334,0.706,-0.044,-0.479,1.6808,-0.97,"Down" -"887",2004,-0.97,0.271,-1.334,0.706,-0.044,1.3375,-0.196,"Down" -"888",2004,-0.196,-0.97,0.271,-1.334,0.706,1.4134,0.993,"Up" -"889",2004,0.993,-0.196,-0.97,0.271,-1.334,1.6108,0.054,"Up" -"890",2004,0.054,0.993,-0.196,-0.97,0.271,1.5543,0.457,"Up" -"891",2004,0.457,0.054,0.993,-0.196,-0.97,1.5301,0.117,"Up" -"892",2004,0.117,0.457,0.054,0.993,-0.196,1.2982,0.445,"Up" -"893",2004,0.445,0.117,0.457,0.054,0.993,1.276,-0.626,"Down" -"894",2004,-0.626,0.445,0.117,0.457,0.054,1.3383,-0.096,"Down" -"895",2004,-0.096,-0.626,0.445,0.117,0.457,1.3692,-1.632,"Down" -"896",2004,-1.632,-0.096,-0.626,0.445,0.117,1.3974,-1.548,"Down" -"897",2004,-1.548,-1.632,-0.096,-0.626,0.445,1.521,0.117,"Up" -"898",2004,0.117,-1.548,-1.632,-0.096,-0.626,1.086,1.297,"Up" -"899",2004,1.297,0.117,-1.548,-1.632,-0.096,1.2456,-0.301,"Down" -"900",2004,-0.301,1.297,0.117,-1.548,-1.632,1.4104,-1.168,"Down" -"901",2004,-1.168,-0.301,1.297,0.117,-1.548,1.4051,0.148,"Up" -"902",2004,0.148,-1.168,-0.301,1.297,0.117,1.1751,1.366,"Up" -"903",2004,1.366,0.148,-1.168,-0.301,1.297,1.2062,0.22,"Up" -"904",2004,0.22,1.366,0.148,-1.168,-0.301,1.2678,1.244,"Up" -"905",2004,1.244,0.22,1.366,0.148,-1.168,1.2825,-0.36,"Down" -"906",2004,-0.36,1.244,0.22,1.366,0.148,1.2494,0.652,"Up" -"907",2004,0.652,-0.36,1.244,0.22,1.366,1.1999,-0.243,"Down" -"908",2004,-0.243,0.652,-0.36,1.244,0.22,1.0219,0.047,"Up" -"909",2004,0.047,-0.243,0.652,-0.36,1.244,1.0925,0.8,"Up" -"910",2004,0.8,0.047,-0.243,0.652,-0.36,1.1922,0.012,"Up" -"911",2004,0.012,0.8,0.047,-0.243,0.652,1.0236,0.243,"Up" -"912",2004,0.243,0.012,0.8,0.047,-0.243,0.8454,-0.778,"Down" -"913",2004,-0.778,0.243,0.012,0.8,0.047,0.8431,0.463,"Up" -"914",2004,0.463,-0.778,0.243,0.012,0.8,1.1382,0.151,"Up" -"915",2004,0.151,0.463,-0.778,0.243,0.012,1.1421,1.121,"Up" -"916",2004,1.121,0.151,0.463,-0.778,0.243,1.1184,-0.418,"Down" -"917",2004,-0.418,1.121,0.151,0.463,-0.778,0.92417,0.689,"Up" -"918",2004,0.689,-0.418,1.121,0.151,0.463,1.2144,-0.449,"Down" -"919",2004,-0.449,0.689,-0.418,1.121,0.151,1.2463,0.189,"Up" -"920",2004,0.189,-0.449,0.689,-0.418,1.121,1.3713,0.495,"Up" -"921",2004,0.495,0.189,-0.449,0.689,-0.418,1.2612,0.169,"Up" -"922",2004,0.169,0.495,0.189,-0.449,0.689,1.2998,0.223,"Up" -"923",2004,0.223,0.169,0.495,0.189,-0.449,1.2045,-0.705,"Down" -"924",2004,-0.705,0.223,0.169,0.495,0.189,1.256,0.279,"Up" -"925",2004,0.279,-0.705,0.223,0.169,0.495,1.1139,0.449,"Up" -"926",2004,0.449,0.279,-0.705,0.223,0.169,1.4226,-0.563,"Down" -"927",2004,-0.563,0.449,0.279,-0.705,0.223,1.1976,0.633,"Up" -"928",2004,0.633,-0.563,0.449,0.279,-0.705,1.325,-1.394,"Down" -"929",2004,-1.394,0.633,-0.563,0.449,0.279,1.3799,-0.467,"Down" -"930",2004,-0.467,-1.394,0.633,-0.563,0.449,1.2863,0.158,"Up" -"931",2004,0.158,-0.467,-1.394,0.633,-0.563,1.2554,-0.594,"Down" -"932",2004,-0.594,0.158,-0.467,-1.394,0.633,1.2635,0.593,"Up" -"933",2004,0.593,-0.594,0.158,-0.467,-1.394,1.3966,0.427,"Up" -"934",2004,0.427,0.593,-0.594,0.158,-0.467,1.4029,-0.02,"Down" -"935",2004,-0.02,0.427,0.593,-0.594,0.158,1.748,1.518,"Up" -"936",2004,1.518,-0.02,0.427,0.593,-0.594,1.5822,0.324,"Up" -"937",2004,0.324,1.518,-0.02,0.427,0.593,1.534,-0.061,"Down" -"938",2004,-0.061,0.324,1.518,-0.02,0.427,1.4184,0.667,"Up" -"939",2004,0.667,-0.061,0.324,1.518,-0.02,1.4167,-0.998,"Down" -"940",2004,-0.998,0.667,-0.061,0.324,1.518,1.4475,-0.753,"Down" -"941",2004,-0.753,-0.998,0.667,-0.061,0.324,1.2916,0.201,"Up" -"942",2004,0.201,-0.753,-0.998,0.667,-0.061,0.9438,-0.227,"Down" -"943",2004,-0.227,0.201,-0.753,-0.998,0.667,1.3201,-0.73,"Down" -"944",2004,-0.73,-0.227,0.201,-0.753,-0.998,1.5462,-0.93,"Down" -"945",2004,-0.93,-0.73,-0.227,0.201,-0.753,1.4895,0.445,"Up" -"946",2004,0.445,-0.93,-0.73,-0.227,0.201,1.6451,0.525,"Up" -"947",2004,0.525,0.445,-0.93,-0.73,-0.227,1.3733,-0.969,"Down" -"948",2004,-0.969,0.525,0.445,-0.93,-0.73,1.7375,0.039,"Up" -"949",2004,0.039,-0.969,0.525,0.445,-0.93,1.6857,0.256,"Up" -"950",2004,0.256,0.039,-0.969,0.525,0.445,1.673,-0.972,"Down" -"951",2004,-0.972,0.256,0.039,-0.969,0.525,1.4696,-0.086,"Down" -"952",2004,-0.086,-0.972,0.256,0.039,-0.969,1.3805,1.488,"Up" -"953",2004,1.488,-0.086,-0.972,0.256,0.039,1.6854,1.288,"Up" -"954",2004,1.288,1.488,-0.086,-0.972,0.256,1.7419,0.181,"Up" -"955",2004,0.181,1.288,1.488,-0.086,-0.972,1.6282,0.245,"Up" -"956",2004,0.245,0.181,1.288,1.488,-0.086,1.5008,0.027,"Up" -"957",2004,0.027,0.245,0.181,1.288,1.488,1.3959,0.004,"Up" -"958",2004,0.004,0.027,0.245,0.181,1.288,1.659,1.118,"Up" -"959",2004,1.118,0.004,0.027,0.245,0.181,1.7675,1.616,"Up" -"960",2004,1.616,1.118,0.004,0.027,0.245,1.7827,0.387,"Up" -"961",2004,0.387,1.616,1.118,0.004,0.027,1.7244,-0.11,"Down" -"962",2004,-0.11,0.387,1.616,1.118,0.004,1.3587,-0.07,"Down" -"963",2004,-0.07,-0.11,0.387,1.616,1.118,1.4508,-0.101,"Down" -"964",2004,-0.101,-0.07,-0.11,0.387,1.616,1.5043,0.909,"Up" -"965",2004,0.909,-0.101,-0.07,-0.11,0.387,1.393,0.911,"Up" -"966",2004,0.911,0.909,-0.101,-0.07,-0.11,1.5316,-0.03,"Down" -"967",2004,-0.03,0.911,0.909,-0.101,-0.07,1.4533,-0.708,"Down" -"968",2004,-0.708,-0.03,0.911,0.909,-0.101,1.3644,0.554,"Up" -"969",2004,0.554,-0.708,-0.03,0.911,0.909,1.6842,0.136,"Up" -"970",2004,0.136,0.554,-0.708,-0.03,0.911,1.4567,-1.116,"Down" -"971",2004,-1.116,0.136,0.554,-0.708,-0.03,1.5266,0.59,"Up" -"972",2004,0.59,-1.116,0.136,0.554,-0.708,1.3927,-0.025,"Down" -"973",2004,-0.025,0.59,-1.116,0.136,0.554,1.4283,0.41,"Up" -"974",2004,0.41,-0.025,0.59,-1.116,0.136,1.1496,0.075,"Up" -"975",2004,0.075,0.41,-0.025,0.59,-1.116,0.50458,-0.345,"Down" -"976",2004,-0.345,0.075,0.41,-0.025,0.59,1.3785,-0.403,"Down" -"977",2004,-0.403,-0.345,0.075,0.41,-0.025,1.5535,1.495,"Up" -"978",2004,1.495,-0.403,-0.345,0.075,0.41,1.7728,-0.087,"Down" -"979",2004,-0.087,1.495,-0.403,-0.345,0.075,1.7749,0.071,"Up" -"980",2004,0.071,-0.087,1.495,-0.403,-0.345,1.5667,-0.077,"Down" -"981",2004,-0.077,0.071,-0.087,1.495,-0.403,1.3544,-1.107,"Down" -"982",2004,-1.107,-0.077,0.071,-0.087,1.495,1.5339,0.488,"Up" -"983",2004,0.488,-1.107,-0.077,0.071,-0.087,1.5252,0.544,"Up" -"984",2004,0.544,0.488,-1.107,-0.077,0.071,1.6247,-0.104,"Down" -"985",2004,-0.104,0.544,0.488,-1.107,-0.077,1.4437,0.899,"Up" -"986",2004,0.899,-0.104,0.544,0.488,-1.107,1.4361,0.392,"Up" -"987",2004,0.392,0.899,-0.104,0.544,0.488,1.5444,0.194,"Up" -"988",2004,0.194,0.392,0.899,-0.104,0.544,1.6958,-0.208,"Down" -"989",2004,-0.208,0.194,0.392,0.899,-0.104,1.7939,-0.749,"Down" -"990",2004,-0.749,-0.208,0.194,0.392,0.899,2.335,0.038,"Up" -"991",2004,0.038,-0.749,-0.208,0.194,0.392,1.4228,0.904,"Up" -"992",2004,0.904,0.038,-0.749,-0.208,0.194,1.4837,0.342,"Up" -"993",2004,0.342,0.904,0.038,-0.749,-0.208,1.3908,0.046,"Up" -"994",2004,0.046,0.342,0.904,0.038,-0.749,0.9561,-0.431,"Down" -"995",2004,-0.431,0.046,0.342,0.904,0.038,0.922,0.715,"Up" -"996",2004,0.715,-0.431,0.046,0.342,0.904,0.983,-0.007,"Down" -"997",2004,-0.007,0.715,-0.431,0.046,0.342,0.9259,0.008,"Up" -"998",2004,0.008,-0.007,0.715,-0.431,0.046,0.8298,-0.134,"Down" -"999",2005,-0.134,0.008,-0.007,0.715,-0.431,0.7869,-0.812,"Down" -"1000",2005,-0.812,-0.134,0.008,-0.007,0.715,1.5108,-1.167,"Down" -"1001",2005,-1.167,-0.812,-0.134,0.008,-0.007,1.721,-0.363,"Down" -"1002",2005,-0.363,-1.167,-0.812,-0.134,0.008,1.7389,0.351,"Up" -"1003",2005,0.351,-0.363,-1.167,-0.812,-0.134,1.5691,-0.143,"Down" -"1004",2005,-0.143,0.351,-0.363,-1.167,-0.812,1.4779,0.342,"Up" -"1005",2005,0.342,-0.143,0.351,-0.363,-1.167,1.4904,-0.61,"Down" -"1006",2005,-0.61,0.342,-0.143,0.351,-0.363,1.4888,0.398,"Up" -"1007",2005,0.398,-0.61,0.342,-0.143,0.351,1.5621,-0.863,"Down" -"1008",2005,-0.863,0.398,-0.61,0.342,-0.143,1.5103,0.6,"Up" -"1009",2005,0.6,-0.863,0.398,-0.61,0.342,1.3354,0.967,"Up" -"1010",2005,0.967,0.6,-0.863,0.398,-0.61,1.5968,-0.949,"Down" -"1011",2005,-0.949,0.967,0.6,-0.863,0.398,1.4987,-0.778,"Down" -"1012",2005,-0.778,-0.949,0.967,0.6,-0.863,1.692,-0.641,"Down" -"1013",2005,-0.641,-0.778,-0.949,0.967,0.6,1.6435,-0.353,"Down" -"1014",2005,-0.353,-0.641,-0.778,-0.949,0.967,1.4946,0.4,"Up" -"1015",2005,0.4,-0.353,-0.641,-0.778,-0.949,1.6104,0.484,"Up" -"1016",2005,0.484,0.4,-0.353,-0.641,-0.778,1.6359,0.041,"Up" -"1017",2005,0.041,0.484,0.4,-0.353,-0.641,1.6006,-0.272,"Down" -"1018",2005,-0.272,0.041,0.484,0.4,-0.353,1.6418,0.846,"Up" -"1019",2005,0.846,-0.272,0.041,0.484,0.4,1.6798,0.689,"Up" -"1020",2005,0.689,0.846,-0.272,0.041,0.484,1.68198,0.318,"Up" -"1021",2005,0.318,0.689,0.846,-0.272,0.041,1.56174,-0.277,"Down" -"1022",2005,-0.277,0.318,0.689,0.846,-0.272,1.55446,1.104,"Up" -"1023",2005,1.104,-0.277,0.318,0.689,0.846,1.64816,-0.109,"Down" -"1024",2005,-0.109,1.104,-0.277,0.318,0.689,1.34727,0.048,"Up" -"1025",2005,0.048,-0.109,1.104,-0.277,0.318,1.41617,-0.858,"Down" -"1026",2005,-0.858,0.048,-0.109,1.104,-0.277,1.51104,0.421,"Up" -"1027",2005,0.421,-0.858,0.048,-0.109,1.104,1.49167,0.693,"Up" -"1028",2005,0.693,0.421,-0.858,0.048,-0.109,1.5623,0.07,"Up" -"1029",2005,0.07,0.693,0.421,-0.858,0.048,1.29018,0.33,"Up" -"1030",2005,0.33,0.07,0.693,0.421,-0.858,1.52708,0.018,"Up" -"1031",2005,0.018,0.33,0.07,0.693,0.421,1.4901,-0.792,"Down" -"1032",2005,-0.792,0.018,0.33,0.07,0.693,1.58012,0.07,"Up" -"1033",2005,0.07,-0.792,0.018,0.33,0.07,1.5512,-1.451,"Down" -"1034",2005,-1.451,0.07,-0.792,0.018,0.33,1.74494,0.561,"Up" -"1035",2005,0.561,-1.451,0.07,-0.792,0.018,1.50109,0.789,"Up" -"1036",2005,0.789,0.561,-1.451,0.07,-0.792,1.51875,0.931,"Up" -"1037",2005,0.931,0.789,0.561,-1.451,0.07,1.52368,-0.641,"Down" -"1038",2005,-0.641,0.931,0.789,0.561,-1.451,1.79548,0.566,"Up" -"1039",2005,0.566,-0.641,0.931,0.789,0.561,1.70806,-0.027,"Down" -"1040",2005,-0.027,0.566,-0.641,0.931,0.789,1.56854,0.032,"Up" -"1041",2005,0.032,-0.027,0.566,-0.641,0.931,1.61624,0.962,"Up" -"1042",2005,0.962,0.032,-0.027,0.566,-0.641,1.63682,0.261,"Up" -"1043",2005,0.261,0.962,0.032,-0.027,0.566,1.48883,-0.48,"Down" -"1044",2005,-0.48,0.261,0.962,0.032,-0.027,1.52309,-1.019,"Down" -"1045",2005,-1.019,-0.48,0.261,0.962,0.032,1.70497,0.186,"Up" -"1046",2005,0.186,-1.019,-0.48,0.261,0.962,1.60402,-0.758,"Down" -"1047",2005,-0.758,0.186,-1.019,-0.48,0.261,1.44982,0.562,"Up" -"1048",2005,0.562,-0.758,0.186,-1.019,-0.48,1.43743,-0.752,"Down" -"1049",2005,-0.752,0.562,-0.758,0.186,-1.019,1.51353,-0.808,"Down" -"1050",2005,-0.808,-0.752,0.562,-0.758,0.186,1.65319,0.18,"Up" -"1051",2005,0.18,-0.808,-0.752,0.562,-0.758,1.58193,-0.047,"Down" -"1052",2005,-0.047,0.18,-0.808,-0.752,0.562,2.34437,-0.493,"Down" -"1053",2005,-0.493,-0.047,0.18,-0.808,-0.752,1.81944,-1.02,"Down" -"1054",2005,-1.02,-0.493,-0.047,0.18,-0.808,2.11447,0.07,"Up" -"1055",2005,0.07,-1.02,-0.493,-0.047,0.18,2.24687,-0.095,"Down" -"1056",2005,-0.095,0.07,-1.02,-0.493,-0.047,1.72172,0.244,"Up" -"1057",2005,0.244,-0.095,0.07,-1.02,-0.493,1.74622,-0.76,"Down" -"1058",2005,-0.76,0.244,-0.095,0.07,-1.02,2.22325,1.377,"Up" -"1059",2005,1.377,-0.76,0.244,-0.095,0.07,2.09711,-0.069,"Down" -"1060",2005,-0.069,1.377,-0.76,0.244,-0.095,2.21423,-0.65,"Down" -"1061",2005,-0.65,-0.069,1.377,-0.76,0.244,2.16869,0.273,"Up" -"1062",2005,0.273,-0.65,-0.069,1.377,-0.76,2.07977,0.448,"Up" -"1063",2005,0.448,0.273,-0.65,-0.069,1.377,1.8708,0.227,"Up" -"1064",2005,0.227,0.448,0.273,-0.65,-0.069,1.7974,0.597,"Up" -"1065",2005,0.597,0.227,0.448,0.273,-0.65,1.90062,-0.834,"Down" -"1066",2005,-0.834,0.597,0.227,0.448,0.273,1.66133,0.001,"Up" -"1067",2005,0.001,-0.834,0.597,0.227,0.448,1.52531,0.555,"Up" -"1068",2005,0.555,0.001,-0.834,0.597,0.227,1.97983,-1.176,"Down" -"1069",2005,-1.176,0.555,0.001,-0.834,0.597,2.04974,-1,"Down" -"1070",2005,-1,-1.176,0.555,0.001,-0.834,2.35504,-1.672,"Down" -"1071",2005,-1.672,-1,-1.176,0.555,0.001,2.68996,0.294,"Up" -"1072",2005,0.294,-1.672,-1,-1.176,0.555,2.18067,0.593,"Up" -"1073",2005,0.593,0.294,-1.672,-1,-1.176,2.1427,-1.325,"Down" -"1074",2005,-1.325,0.593,0.294,-1.672,-1,2.21705,1.974,"Up" -"1075",2005,1.974,-1.325,0.593,0.294,-1.672,2.30856,-0.675,"Down" -"1076",2005,-0.675,1.974,-1.325,0.593,0.294,2.04588,0.866,"Up" -"1077",2005,0.866,-0.675,1.974,-1.325,0.593,1.79503,-0.884,"Down" -"1078",2005,-0.884,0.866,-0.675,1.974,-1.325,1.95974,0.395,"Up" -"1079",2005,0.395,-0.884,0.866,-0.675,1.974,2.15152,-1.138,"Down" -"1080",2005,-1.138,0.395,-0.884,0.866,-0.675,2.18227,1.192,"Up" -"1081",2005,1.192,-1.138,0.395,-0.884,0.866,2.36236,0.459,"Up" -"1082",2005,0.459,1.192,-1.138,0.395,-0.884,1.98004,-0.085,"Down" -"1083",2005,-0.085,0.459,1.192,-1.138,0.395,2.16702,1.247,"Up" -"1084",2005,1.247,-0.085,0.459,1.192,-1.138,2.30648,-0.257,"Down" -"1085",2005,-0.257,1.247,-0.085,0.459,1.192,1.9971,-0.109,"Down" -"1086",2005,-0.109,-0.257,1.247,-0.085,0.459,1.7072,0.639,"Up" -"1087",2005,0.639,-0.109,-0.257,1.247,-0.085,1.85702,-1.071,"Down" -"1088",2005,-1.071,0.639,-0.109,-0.257,1.247,1.88966,0.419,"Up" -"1089",2005,0.419,-1.071,0.639,-0.109,-0.257,1.83497,-1.003,"Down" -"1090",2005,-1.003,0.419,-1.071,0.639,-0.109,1.99529,-0.458,"Down" -"1091",2005,-0.458,-1.003,0.419,-1.071,0.639,2.18859,1.009,"Up" -"1092",2005,1.009,-0.458,-1.003,0.419,-1.071,1.85686,0.696,"Up" -"1093",2005,0.696,1.009,-0.458,-1.003,0.419,1.88726,1.002,"Up" -"1094",2005,1.002,0.696,1.009,-0.458,-1.003,2.26632,0.466,"Up" -"1095",2005,0.466,1.002,0.696,1.009,-0.458,1.77586,-0.151,"Down" -"1096",2005,-0.151,0.466,1.002,0.696,1.009,1.63175,0.385,"Up" -"1097",2005,0.385,-0.151,0.466,1.002,0.696,1.68117,0.018,"Up" -"1098",2005,0.018,0.385,-0.151,0.466,1.002,1.681,-0.34,"Down" -"1099",2005,-0.34,0.018,0.385,-0.151,0.466,1.74218,0.639,"Up" -"1100",2005,0.639,-0.34,0.018,0.385,-0.151,1.65411,0.097,"Up" -"1101",2005,0.097,0.639,-0.34,0.018,0.385,1.38143,-0.607,"Down" -"1102",2005,-0.607,0.097,0.639,-0.34,0.018,1.84068,0.9,"Up" -"1103",2005,0.9,-0.607,0.097,0.639,-0.34,1.8101,0.172,"Up" -"1104",2005,0.172,0.9,-0.607,0.097,0.639,1.81379,-0.687,"Down" -"1105",2005,-0.687,0.172,0.9,-0.607,0.097,1.62752,0.125,"Up" -"1106",2005,0.125,-0.687,0.172,0.9,-0.607,1.54712,-0.021,"Down" -"1107",2005,-0.021,0.125,-0.687,0.172,0.9,1.85137,-0.216,"Down" -"1108",2005,-0.216,-0.021,0.125,-0.687,0.172,1.71549,0.524,"Up" -"1109",2005,0.524,-0.216,-0.021,0.125,-0.687,1.82412,-0.235,"Down" -"1110",2005,-0.235,0.524,-0.216,-0.021,0.125,1.66418,0.226,"Up" -"1111",2005,0.226,-0.235,0.524,-0.216,-0.021,1.66135,0.257,"Up" -"1112",2005,0.257,0.226,-0.235,0.524,-0.216,1.69815,0.222,"Up" -"1113",2005,0.222,0.257,0.226,-0.235,0.524,1.84044,0.363,"Up" -"1114",2005,0.363,0.222,0.257,0.226,-0.235,1.77604,0.495,"Up" -"1115",2005,0.495,0.363,0.222,0.257,0.226,2.40737,-0.071,"Down" -"1116",2005,-0.071,0.495,0.363,0.222,0.257,1.71453,-0.205,"Down" -"1117",2005,-0.205,-0.071,0.495,0.363,0.222,1.7207,0.022,"Up" -"1118",2005,0.022,-0.205,-0.071,0.495,0.363,1.82325,-1.083,"Down" -"1119",2005,-1.083,0.022,-0.205,-0.071,0.495,2.02992,-0.763,"Down" -"1120",2005,-0.763,-1.083,0.022,-0.205,-0.071,2.4188,-0.074,"Down" -"1121",2005,-0.074,-0.763,-1.083,0.022,-0.205,1.73862,0.914,"Up" -"1122",2005,0.914,-0.074,-0.763,-1.083,0.022,1.77241,-0.143,"Down" -"1123",2005,-0.143,0.914,-0.074,-0.763,-1.083,1.76928,-0.71,"Down" -"1124",2005,-0.71,-0.143,0.914,-0.074,-0.763,2.10949,0.261,"Up" -"1125",2005,0.261,-0.71,-0.143,0.914,-0.074,1.59382,0.883,"Up" -"1126",2005,0.883,0.261,-0.71,-0.143,0.914,1.80582,-0.834,"Down" -"1127",2005,-0.834,0.883,0.261,-0.71,-0.143,1.88347,0.245,"Up" -"1128",2005,0.245,-0.834,0.883,0.261,-0.71,1.95244,1.168,"Up" -"1129",2005,1.168,0.245,-0.834,0.883,0.261,1.90081,0.625,"Up" -"1130",2005,0.625,1.168,0.245,-0.834,0.883,1.8463,0.227,"Up" -"1131",2005,0.227,0.625,1.168,0.245,-0.834,1.93201,0.088,"Up" -"1132",2005,0.088,0.227,0.625,1.168,0.245,1.8125,0.262,"Up" -"1133",2005,0.262,0.088,0.227,0.625,1.168,2.04871,0.116,"Up" -"1134",2005,0.116,0.262,0.088,0.227,0.625,1.7164,-0.553,"Down" -"1135",2005,-0.553,0.116,0.262,0.088,0.227,1.5821,0.673,"Up" -"1136",2005,0.673,-0.553,0.116,0.262,0.088,2.04128,0.476,"Up" -"1137",2005,0.476,0.673,-0.553,0.116,0.262,2.06334,-0.661,"Down" -"1138",2005,-0.661,0.476,0.673,-0.553,0.116,2.12984,0.541,"Up" -"1139",2005,0.541,-0.661,0.476,0.673,-0.553,1.76699,-0.377,"Down" -"1140",2005,-0.377,0.541,-0.661,0.476,0.673,1.71758,0.173,"Up" -"1141",2005,0.173,-0.377,0.541,-0.661,0.476,1.93418,0.457,"Up" -"1142",2005,0.457,0.173,-0.377,0.541,-0.661,1.9458,0.56,"Up" -"1143",2005,0.56,0.457,0.173,-0.377,0.541,2.00168,-0.767,"Down" -"1144",2005,-0.767,0.56,0.457,0.173,-0.377,1.7896,0.095,"Up" -"1145",2005,0.095,-0.767,0.56,0.457,0.173,1.71687,0.71,"Up" -"1146",2005,0.71,0.095,-0.767,0.56,0.457,2.04312,0.074,"Up" -"1147",2005,0.074,0.71,0.095,-0.767,0.56,1.99998,-0.737,"Down" -"1148",2005,-0.737,0.074,0.71,0.095,-0.767,1.98122,-0.764,"Down" -"1149",2005,-0.764,-0.737,0.074,0.71,0.095,1.93028,-0.268,"Down" -"1150",2005,-0.268,-0.764,-0.737,0.074,0.71,1.80414,0.674,"Up" -"1151",2005,0.674,-0.268,-0.764,-0.737,0.074,1.89752,-0.183,"Down" -"1152",2005,-0.183,0.674,-0.268,-0.764,-0.737,2.17232,0.706,"Up" -"1153",2005,0.706,-0.183,0.674,-0.268,-0.764,1.94156,-0.599,"Down" -"1154",2005,-0.599,0.706,-0.183,0.674,-0.268,1.7093,0.283,"Up" -"1155",2005,0.283,-0.599,0.706,-0.183,0.674,1.56288,-1.178,"Down" -"1156",2005,-1.178,0.283,-0.599,0.706,-0.183,1.82041,0.074,"Up" -"1157",2005,0.074,-1.178,0.283,-0.599,0.706,1.85915,-0.1,"Down" -"1158",2005,-0.1,0.074,-1.178,0.283,-0.599,1.80817,0.057,"Up" -"1159",2005,0.057,-0.1,0.074,-1.178,0.283,1.55879,0.166,"Up" -"1160",2005,0.166,0.057,-0.1,0.074,-1.178,1.62133,-0.339,"Down" -"1161",2005,-0.339,0.166,0.057,-0.1,0.074,1.67862,-0.657,"Down" -"1162",2005,-0.657,-0.339,0.166,0.057,-0.1,1.9308,0.23,"Up" -"1163",2005,0.23,-0.657,-0.339,0.166,0.057,1.57111,-0.6,"Down" -"1164",2005,-0.6,0.23,-0.657,-0.339,0.166,1.54109,0.596,"Up" -"1165",2005,0.596,-0.6,0.23,-0.657,-0.339,1.59945,-0.319,"Down" -"1166",2005,-0.319,0.596,-0.6,0.23,-0.657,1.91647,0.986,"Up" -"1167",2005,0.986,-0.319,0.596,-0.6,0.23,2.36551,0.103,"Up" -"1168",2005,0.103,0.986,-0.319,0.596,-0.6,2.22986,-0.292,"Down" -"1169",2005,-0.292,0.103,0.986,-0.319,0.596,1.64016,1.262,"Up" -"1170",2005,1.262,-0.292,0.103,0.986,-0.319,1.93209,0.241,"Up" -"1171",2005,0.241,1.262,-0.292,0.103,0.986,2.0677,-0.379,"Down" -"1172",2005,-0.379,0.241,1.262,-0.292,0.103,1.95538,0.796,"Up" -"1173",2005,0.796,-0.379,0.241,1.262,-0.292,1.99256,-0.074,"Down" -"1174",2005,-0.074,0.796,-0.379,0.241,1.262,1.93805,-0.754,"Down" -"1175",2005,-0.754,-0.074,0.796,-0.379,0.241,2.08236,-0.328,"Down" -"1176",2005,-0.328,-0.754,-0.074,0.796,-0.379,1.98675,0.046,"Up" -"1177",2005,0.046,-0.328,-0.754,-0.074,0.796,2.07934,0.829,"Up" -"1178",2005,0.829,0.046,-0.328,-0.754,-0.074,3.15247,-0.557,"Down" -"1179",2005,-0.557,0.829,0.046,-0.328,-0.754,2.07654,-0.786,"Down" -"1180",2005,-0.786,-0.557,0.829,0.046,-0.328,2.31925,-0.912,"Down" -"1181",2005,-0.912,-0.786,-0.557,0.829,0.046,2.54815,0.365,"Up" -"1182",2005,0.365,-0.912,-0.786,-0.557,0.829,2.42472,0.055,"Up" -"1183",2005,0.055,0.365,-0.912,-0.786,-0.557,1.97302,0.028,"Up" -"1184",2005,0.028,0.055,0.365,-0.912,-0.786,2.02222,0.002,"Up" -"1185",2005,0.002,0.028,0.055,0.365,-0.912,1.97627,0.101,"Up" -"1186",2005,0.101,0.002,0.028,0.055,0.365,2.10698,0.887,"Up" -"1187",2005,0.887,0.101,0.002,0.028,0.055,2.17612,0.092,"Up" -"1188",2005,0.092,0.887,0.101,0.002,0.028,2.09752,-0.172,"Down" -"1189",2005,-0.172,0.092,0.887,0.101,0.002,2.09749,-0.997,"Down" -"1190",2005,-0.997,-0.172,0.092,0.887,0.101,2.34142,-1.489,"Down" -"1191",2005,-1.489,-0.997,-0.172,0.092,0.887,2.54678,-0.41,"Down" -"1192",2005,-0.41,-1.489,-0.997,-0.172,0.092,2.79203,0.37,"Up" -"1193",2005,0.37,-0.41,-1.489,-0.997,-0.172,2.12608,-0.717,"Down" -"1194",2005,-0.717,0.37,-0.41,-1.489,-0.997,2.19599,-0.207,"Down" -"1195",2005,-0.207,-0.717,0.37,-0.41,-1.489,2.29904,-0.607,"Down" -"1196",2005,-0.607,-0.207,-0.717,0.37,-0.41,2.49128,-0.071,"Down" -"1197",2005,-0.071,-0.607,-0.207,-0.717,0.37,2.35115,0.827,"Up" -"1198",2005,0.827,-0.071,-0.607,-0.207,-0.717,2.18894,0.297,"Up" -"1199",2005,0.297,0.827,-0.071,-0.607,-0.207,2.05457,-1.005,"Down" -"1200",2005,-1.005,0.297,0.827,-0.071,-0.607,2.19701,1.496,"Up" -"1201",2005,1.496,-1.005,0.297,0.827,-0.071,2.70359,-1.502,"Down" -"1202",2005,-1.502,1.496,-1.005,0.297,0.827,2.61725,0.152,"Up" -"1203",2005,0.152,-1.502,1.496,-1.005,0.297,2.47092,1.678,"Up" -"1204",2005,1.678,0.152,-1.502,1.496,-1.005,2.19779,-0.237,"Down" -"1205",2005,-0.237,1.678,0.152,-1.502,1.496,2.31247,-0.431,"Down" -"1206",2005,-0.431,-0.237,1.678,0.152,-1.502,2.46775,-1.048,"Down" -"1207",2005,-1.048,-0.431,-0.237,1.678,0.152,2.39537,1.655,"Up" -"1208",2005,1.655,-1.048,-0.431,-0.237,1.678,2.3794,0.718,"Up" -"1209",2005,0.718,1.655,-1.048,-0.431,-0.237,2.56747,-0.352,"Down" -"1210",2005,-0.352,0.718,1.655,-1.048,-0.431,2.45785,0.998,"Up" -"1211",2005,0.998,-0.352,0.718,1.655,-1.048,2.64809,0.426,"Up" -"1212",2005,0.426,0.998,-0.352,0.718,1.655,2.71663,0.016,"Up" -"1213",2005,0.016,0.426,0.998,-0.352,0.718,2.05051,0.219,"Up" -"1214",2005,0.219,0.016,0.426,0.998,-0.352,1.98758,-0.345,"Down" -"1215",2005,-0.345,0.219,0.016,0.426,0.998,1.96505,0.169,"Up" -"1216",2005,0.169,-0.345,0.219,0.016,0.426,2.21446,0.845,"Up" -"1217",2005,0.845,0.169,-0.345,0.219,0.016,2.37846,0.305,"Up" -"1218",2005,0.305,0.845,0.169,-0.345,0.219,1.77314,-0.078,"Down" -"1219",2005,-0.078,0.305,0.845,0.169,-0.345,1.89978,-0.385,"Down" -"1220",2005,-0.385,-0.078,0.305,0.845,0.169,2.35937,0.179,"Up" -"1221",2005,0.179,-0.385,-0.078,0.305,0.845,2.12158,0.941,"Up" -"1222",2005,0.941,0.179,-0.385,-0.078,0.305,2.29804,0.44,"Up" -"1223",2005,0.44,0.941,0.179,-0.385,-0.078,2.45329,0.527,"Up" -"1224",2005,0.527,0.44,0.941,0.179,-0.385,2.11735,0.508,"Up" -"1225",2005,0.508,0.527,0.44,0.941,0.179,2.29142,0.347,"Up" -"1226",2005,0.347,0.508,0.527,0.44,0.941,1.9854,0.209,"Up" -"1227",2005,0.209,0.347,0.508,0.527,0.44,0.72494,-0.851,"Down" -"1228",2005,-0.851,0.209,0.347,0.508,0.527,2.0169,0.002,"Up" -"1229",2005,0.002,-0.851,0.209,0.347,0.508,2.26834,-0.636,"Down" -"1230",2005,-0.636,0.002,-0.851,0.209,0.347,2.37469,1.216,"Up" -"1231",2005,1.216,-0.636,0.002,-0.851,0.209,2.61483,0.032,"Up" -"1232",2005,0.032,1.216,-0.636,0.002,-0.851,2.12558,-0.236,"Down" -"1233",2005,-0.236,0.032,1.216,-0.636,0.002,2.32584,0.128,"Up" -"1234",2005,0.128,-0.236,0.032,1.216,-0.636,2.11074,-0.501,"Down" -"1235",2005,-0.501,0.128,-0.236,0.032,1.216,2.09383,-0.122,"Down" -"1236",2005,-0.122,-0.501,0.128,-0.236,0.032,2.1783,0.281,"Up" -"1237",2005,0.281,-0.122,-0.501,0.128,-0.236,1.89629,0.084,"Up" -"1238",2005,0.084,0.281,-0.122,-0.501,0.128,1.87655,0.555,"Up" -"1239",2005,0.555,0.084,0.281,-0.122,-0.501,2.39002,0.419,"Up" -"1240",2005,0.419,0.555,0.084,0.281,-0.122,2.14552,-0.141,"Down" -"1241",2005,-0.141,0.419,0.555,0.084,0.281,2.18059,-0.285,"Down" -"1242",2005,-0.285,-0.141,0.419,0.555,0.084,2.58419,-0.584,"Down" -"1243",2005,-0.584,-0.285,-0.141,0.419,0.555,2.20881,-0.024,"Down" -"1244",2005,-0.024,-0.584,-0.285,-0.141,0.419,1.99669,0.252,"Up" -"1245",2005,0.252,-0.024,-0.584,-0.285,-0.141,2.06517,0.422,"Up" -"1246",2005,0.422,0.252,-0.024,-0.584,-0.285,1.8885,0.043,"Up" -"1247",2005,0.043,0.422,0.252,-0.024,-0.584,1.28581,-0.955,"Down" -"1248",2005,-0.955,0.043,0.422,0.252,-0.024,1.54047,0.13,"Up" -"1249",2005,0.13,-0.955,0.043,0.422,0.252,1.42236,-0.298,"Down" -"1250",2005,-0.298,0.13,-0.955,0.043,0.422,1.38254,-0.489,"Down" +"Year","Lag1","Lag2","Lag3","Lag4","Lag5","Volume","Today","Direction" +2001,0.381,-0.192,-2.624,-1.055,5.01,1.1913,0.959,"Up" +2001,0.959,0.381,-0.192,-2.624,-1.055,1.2965,1.032,"Up" +2001,1.032,0.959,0.381,-0.192,-2.624,1.4112,-0.623,"Down" +2001,-0.623,1.032,0.959,0.381,-0.192,1.276,0.614,"Up" +2001,0.614,-0.623,1.032,0.959,0.381,1.2057,0.213,"Up" +2001,0.213,0.614,-0.623,1.032,0.959,1.3491,1.392,"Up" +2001,1.392,0.213,0.614,-0.623,1.032,1.445,-0.403,"Down" +2001,-0.403,1.392,0.213,0.614,-0.623,1.4078,0.027,"Up" +2001,0.027,-0.403,1.392,0.213,0.614,1.164,1.303,"Up" +2001,1.303,0.027,-0.403,1.392,0.213,1.2326,0.287,"Up" 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+2005,-1.502,1.496,-1.005,0.297,0.827,2.61725,0.152,"Up" +2005,0.152,-1.502,1.496,-1.005,0.297,2.47092,1.678,"Up" +2005,1.678,0.152,-1.502,1.496,-1.005,2.19779,-0.237,"Down" +2005,-0.237,1.678,0.152,-1.502,1.496,2.31247,-0.431,"Down" +2005,-0.431,-0.237,1.678,0.152,-1.502,2.46775,-1.048,"Down" +2005,-1.048,-0.431,-0.237,1.678,0.152,2.39537,1.655,"Up" +2005,1.655,-1.048,-0.431,-0.237,1.678,2.3794,0.718,"Up" +2005,0.718,1.655,-1.048,-0.431,-0.237,2.56747,-0.352,"Down" +2005,-0.352,0.718,1.655,-1.048,-0.431,2.45785,0.998,"Up" +2005,0.998,-0.352,0.718,1.655,-1.048,2.64809,0.426,"Up" +2005,0.426,0.998,-0.352,0.718,1.655,2.71663,0.016,"Up" +2005,0.016,0.426,0.998,-0.352,0.718,2.05051,0.219,"Up" +2005,0.219,0.016,0.426,0.998,-0.352,1.98758,-0.345,"Down" +2005,-0.345,0.219,0.016,0.426,0.998,1.96505,0.169,"Up" +2005,0.169,-0.345,0.219,0.016,0.426,2.21446,0.845,"Up" +2005,0.845,0.169,-0.345,0.219,0.016,2.37846,0.305,"Up" +2005,0.305,0.845,0.169,-0.345,0.219,1.77314,-0.078,"Down" +2005,-0.078,0.305,0.845,0.169,-0.345,1.89978,-0.385,"Down" +2005,-0.385,-0.078,0.305,0.845,0.169,2.35937,0.179,"Up" +2005,0.179,-0.385,-0.078,0.305,0.845,2.12158,0.941,"Up" +2005,0.941,0.179,-0.385,-0.078,0.305,2.29804,0.44,"Up" +2005,0.44,0.941,0.179,-0.385,-0.078,2.45329,0.527,"Up" +2005,0.527,0.44,0.941,0.179,-0.385,2.11735,0.508,"Up" +2005,0.508,0.527,0.44,0.941,0.179,2.29142,0.347,"Up" +2005,0.347,0.508,0.527,0.44,0.941,1.9854,0.209,"Up" +2005,0.209,0.347,0.508,0.527,0.44,0.72494,-0.851,"Down" +2005,-0.851,0.209,0.347,0.508,0.527,2.0169,0.002,"Up" +2005,0.002,-0.851,0.209,0.347,0.508,2.26834,-0.636,"Down" +2005,-0.636,0.002,-0.851,0.209,0.347,2.37469,1.216,"Up" +2005,1.216,-0.636,0.002,-0.851,0.209,2.61483,0.032,"Up" +2005,0.032,1.216,-0.636,0.002,-0.851,2.12558,-0.236,"Down" +2005,-0.236,0.032,1.216,-0.636,0.002,2.32584,0.128,"Up" +2005,0.128,-0.236,0.032,1.216,-0.636,2.11074,-0.501,"Down" +2005,-0.501,0.128,-0.236,0.032,1.216,2.09383,-0.122,"Down" +2005,-0.122,-0.501,0.128,-0.236,0.032,2.1783,0.281,"Up" +2005,0.281,-0.122,-0.501,0.128,-0.236,1.89629,0.084,"Up" +2005,0.084,0.281,-0.122,-0.501,0.128,1.87655,0.555,"Up" +2005,0.555,0.084,0.281,-0.122,-0.501,2.39002,0.419,"Up" +2005,0.419,0.555,0.084,0.281,-0.122,2.14552,-0.141,"Down" +2005,-0.141,0.419,0.555,0.084,0.281,2.18059,-0.285,"Down" +2005,-0.285,-0.141,0.419,0.555,0.084,2.58419,-0.584,"Down" +2005,-0.584,-0.285,-0.141,0.419,0.555,2.20881,-0.024,"Down" +2005,-0.024,-0.584,-0.285,-0.141,0.419,1.99669,0.252,"Up" +2005,0.252,-0.024,-0.584,-0.285,-0.141,2.06517,0.422,"Up" +2005,0.422,0.252,-0.024,-0.584,-0.285,1.8885,0.043,"Up" +2005,0.043,0.422,0.252,-0.024,-0.584,1.28581,-0.955,"Down" +2005,-0.955,0.043,0.422,0.252,-0.024,1.54047,0.13,"Up" +2005,0.13,-0.955,0.043,0.422,0.252,1.42236,-0.298,"Down" +2005,-0.298,0.13,-0.955,0.043,0.422,1.38254,-0.489,"Down" diff --git a/Data/USArrests.csv b/Data/USArrests.csv deleted file mode 100644 index 1a5e424..0000000 --- a/Data/USArrests.csv +++ /dev/null @@ -1,51 +0,0 @@ -"","Murder","Assault","UrbanPop","Rape" -"Alabama",13.2,236,58,21.2 -"Alaska",10,263,48,44.5 -"Arizona",8.1,294,80,31 -"Arkansas",8.8,190,50,19.5 -"California",9,276,91,40.6 -"Colorado",7.9,204,78,38.7 -"Connecticut",3.3,110,77,11.1 -"Delaware",5.9,238,72,15.8 -"Florida",15.4,335,80,31.9 -"Georgia",17.4,211,60,25.8 -"Hawaii",5.3,46,83,20.2 -"Idaho",2.6,120,54,14.2 -"Illinois",10.4,249,83,24 -"Indiana",7.2,113,65,21 -"Iowa",2.2,56,57,11.3 -"Kansas",6,115,66,18 -"Kentucky",9.7,109,52,16.3 -"Louisiana",15.4,249,66,22.2 -"Maine",2.1,83,51,7.8 -"Maryland",11.3,300,67,27.8 -"Massachusetts",4.4,149,85,16.3 -"Michigan",12.1,255,74,35.1 -"Minnesota",2.7,72,66,14.9 -"Mississippi",16.1,259,44,17.1 -"Missouri",9,178,70,28.2 -"Montana",6,109,53,16.4 -"Nebraska",4.3,102,62,16.5 -"Nevada",12.2,252,81,46 -"New Hampshire",2.1,57,56,9.5 -"New Jersey",7.4,159,89,18.8 -"New Mexico",11.4,285,70,32.1 -"New York",11.1,254,86,26.1 -"North Carolina",13,337,45,16.1 -"North Dakota",0.8,45,44,7.3 -"Ohio",7.3,120,75,21.4 -"Oklahoma",6.6,151,68,20 -"Oregon",4.9,159,67,29.3 -"Pennsylvania",6.3,106,72,14.9 -"Rhode Island",3.4,174,87,8.3 -"South Carolina",14.4,279,48,22.5 -"South Dakota",3.8,86,45,12.8 -"Tennessee",13.2,188,59,26.9 -"Texas",12.7,201,80,25.5 -"Utah",3.2,120,80,22.9 -"Vermont",2.2,48,32,11.2 -"Virginia",8.5,156,63,20.7 -"Washington",4,145,73,26.2 -"West Virginia",5.7,81,39,9.3 -"Wisconsin",2.6,53,66,10.8 -"Wyoming",6.8,161,60,15.6 diff --git a/Data/Wage.csv b/Data/Wage.csv index 72bb0f8..efa86f5 100644 --- a/Data/Wage.csv +++ b/Data/Wage.csv @@ -1,3001 +1,3001 @@ -"","year","age","sex","maritl","race","education","region","jobclass","health","health_ins","logwage","wage" -"231655",2006,18,"1. Male","1. Never Married","1. White","1. < HS Grad","2. Middle Atlantic","1. Industrial","1. <=Good","2. No",4.31806333496276,75.0431540173515 -"86582",2004,24,"1. Male","1. Never Married","1. White","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",4.25527250510331,70.4760196469445 -"161300",2003,45,"1. Male","2. Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","1. <=Good","1. Yes",4.8750612633917,130.982177377461 -"155159",2003,43,"1. Male","2. Married","3. Asian","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",5.04139268515823,154.68529299563 -"11443",2005,50,"1. Male","4. Divorced","1. White","2. HS Grad","2. Middle Atlantic","2. Information","1. <=Good","1. Yes",4.31806333496276,75.0431540173515 -"376662",2008,54,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.84509804001426,127.115743812184 -"450601",2009,44,"1. Male","2. Married","4. Other","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",5.13302127864665,169.528538036679 -"377954",2008,30,"1. Male","1. Never Married","3. Asian","3. Some College","2. Middle Atlantic","2. Information","1. <=Good","1. Yes",4.7160033436348,111.720849360989 -"228963",2006,41,"1. Male","1. Never Married","2. Black","3. Some College","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.77815125038364,118.884359339886 -"81404",2004,52,"1. Male","2. Married","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.85733249643127,128.680488220624 -"302778",2007,45,"1. Male","4. Divorced","1. White","3. Some College","2. Middle Atlantic","2. Information","1. <=Good","1. Yes",4.76342799356294,117.146816914805 -"305706",2007,34,"1. Male","2. Married","1. White","2. HS Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","2. No",4.39794000867204,81.2832532842527 -"8690",2005,35,"1. Male","1. Never Married","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.49415459401844,89.4924795180001 -"153561",2003,39,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.90308998699194,134.705375118879 -"449654",2009,54,"1. Male","2. Married","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.90308998699194,134.705375118879 -"447660",2009,51,"1. Male","2. Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.50514997831991,90.4819133566401 -"160191",2003,37,"1. Male","1. Never Married","3. Asian","4. College Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","2. No",4.41497334797082,82.6796372966372 -"230312",2006,50,"1. Male","2. Married","1. White","5. Advanced Degree","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",5.36055176170483,212.842352315711 -"301585",2007,56,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","1. Industrial","1. <=Good","1. Yes",4.86102634169657,129.156693004704 -"153682",2003,37,"1. Male","1. Never Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.5910646070265,98.5993438603892 -"158226",2003,38,"1. Male","2. Married","3. Asian","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",5.30102999566398,200.543262324662 -"11141",2005,40,"1. Male","4. Divorced","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",3.92012332629072,50.406660861266 -"448410",2009,75,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.44715803134222,85.3839403789827 -"305116",2007,40,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",5.07918124604763,160.642475408263 -"233002",2006,38,"1. 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Yes",4.89320675305985,133.380607661416 +2008,44,"2. Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",5.04139268515823,154.68529299563 +2007,30,"2. Married","1. White","2. HS Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","2. No",4.60205999132796,99.6894636984864 +2005,27,"2. Married","2. Black","1. < HS Grad","2. Middle Atlantic","1. Industrial","1. <=Good","2. No",4.19312459835446,66.2294082943902 +2005,27,"1. Never Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.47712125471966,87.9810327856054 +2009,55,"5. Separated","1. White","2. HS Grad","2. Middle Atlantic","1. Industrial","1. <=Good","1. Yes",4.50514997831991,90.4819133566401 diff --git a/Data/datalist b/Data/datalist deleted file mode 100644 index 9ac6ce3..0000000 --- a/Data/datalist +++ /dev/null @@ -1,13 +0,0 @@ -Auto -Caravan -Carseats -College -Default -Hitters -Khan (json file) -NCI60 (json file) -OJ -Portfolio -Smarket -Wage -Weekly From 7b75a33d6b09aa9c052dc0e15f7888f00d8144bb Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 16:50:51 +0200 Subject: [PATCH 05/32] update readme and requerements --- README.md | 56 ++++++++++++++++++++++++++---------------------- requirements.txt | 1 - 2 files changed, 30 insertions(+), 27 deletions(-) diff --git a/README.md b/README.md index 893de46..d922743 100644 --- a/README.md +++ b/README.md @@ -1,39 +1,43 @@ -# ISLR_Python +# Introduction to Statistical Learning with Applications in ~~R~~ Python -Figures, Tables and Problems from the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2013). -Using Python 3.x. +A collection of notebooks with figures, tables and problems from the second edition of the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2021), using Python 3.9 instead of R. List of Chapters: -- [x] Chapter 3 - Linear Regression -- [x] Chapter 4 - Classification -- [x] Chapter 5 - Resampling Methods -- [x] Chapter 6 - Linear Model Selection and Regularization -- [x] Chapter 7 - Moving Beyond Linearity -- [x] Chapter 8 - Tree-Based Methods -- [x] Chapter 9 - Support Vector Machines -- [x] Chapter 10 - Unsupervised Learning +- [x] Chapter 3 - Linear Regression +- [ ] Chapter 4 - Classification +- [ ] Chapter 5 - Resampling Methods +- [ ] Chapter 6 - Linear Model Selection and Regularization +- [ ] Chapter 7 - Moving Beyond Linearity +- [ ] Chapter 8 - Tree-Based Methods +- [ ] Chapter 9 - Support Vector Machines +- [ ] Chapter 10 - Deep Learning +- [ ] Chapter 11 - Survival Analysis and Censored Data +- [ ] Chapter 12 - Unsupervised Learning Dependencies: - - pandas - - numpy - - scipy - - scikit-learn - - statsmodels - - patsy - - matplotlib - - seaborn - - pyGAM - - pydot and graphviz (to plot decission trees) - - scikit-plot (to plot ROC for classification) - -I obtained the data from https://github.com/JWarmenhoven/ISLR-python. +- General: + - (jupyter) + - pandas + - numpy + - scipy + - scikit-learn + - statsmodels + - matplotlib + - seaborn +- Chapters + - pyGAM + - pydot and graphviz (to plot decission trees) + - scikit-plot (to plot ROC for classification) + + +Data from https://www.statlearning.com/resources-second-edition. #### References: -James, G., Witten, D., Hastie, T., Tibshirani, R. (2013). An Introduction to Statistical Learning with Applications in R, Springer Science+Business Media, New York. -http://www-bcf.usc.edu/~gareth/ISL/index.html +James, G., Witten, D., Hastie, T., Tibshirani, R. (2021). An Introduction to Statistical Learning with Applications in R, Springer Science+Business Media, New York. +https://web.stanford.edu/~hastie/ISLR2/ISLRv2_website.pdf Hastie, T., Tibshirani, R., Friedman, J. (2009). Elements of Statistical Learning, Second Edition, Springer Science+Business Media, New York. https://web.stanford.edu/~hastie/ElemStatLearn/ \ No newline at end of file diff --git a/requirements.txt b/requirements.txt index e6e2cb2..f9f6fae 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,6 +3,5 @@ numpy scipy scikit-learn statsmodels -patsy matplotlib seaborn From dfb389ebb5f2770641797a1114ddfd76ff704cb5 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 16:51:26 +0200 Subject: [PATCH 06/32] rename --- 04_classification.ipynb => 04_Classification.ipynb | 0 10_Unsupervised_Learning.ipynb => 12_Unsupervised_Learning.ipynb | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename 04_classification.ipynb => 04_Classification.ipynb (100%) rename 10_Unsupervised_Learning.ipynb => 12_Unsupervised_Learning.ipynb (100%) diff --git a/04_classification.ipynb b/04_Classification.ipynb similarity index 100% rename from 04_classification.ipynb rename to 04_Classification.ipynb diff --git a/10_Unsupervised_Learning.ipynb b/12_Unsupervised_Learning.ipynb similarity index 100% rename from 10_Unsupervised_Learning.ipynb rename to 12_Unsupervised_Learning.ipynb From 421d5e1006250033c1e433963afd93ab8044e99e Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 16:51:39 +0200 Subject: [PATCH 07/32] delete unneeded file --- util.py | 2 -- 1 file changed, 2 deletions(-) delete mode 100644 util.py diff --git a/util.py b/util.py deleted file mode 100644 index e9f3967..0000000 --- a/util.py +++ /dev/null @@ -1,2 +0,0 @@ -def vif(model): - return 1/(1-model.rsquared) \ No newline at end of file From 9dbff776401fc1cf27e06a83718a18438e3337b3 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 16:56:05 +0200 Subject: [PATCH 08/32] rename file --- plot_utils.py => linear_regression.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename plot_utils.py => linear_regression.py (100%) diff --git a/plot_utils.py b/linear_regression.py similarity index 100% rename from plot_utils.py rename to linear_regression.py From d714b3b644e4a66b7c9ee10afb537a1286faf55d Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 17:02:14 +0200 Subject: [PATCH 09/32] include jupyter --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index f9f6fae..5611a00 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,4 @@ +jupyterlab pandas numpy scipy From c1bc7f39838e962e98199aeb5ee9f58dcdfdcd16 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 20:03:54 +0200 Subject: [PATCH 10/32] update --- 03_Linear_regression.ipynb | 2179 +++++++++++++++++++++++++++--------- 1 file changed, 1665 insertions(+), 514 deletions(-) diff --git a/03_Linear_regression.ipynb b/03_Linear_regression.ipynb index 9d46ae0..48e9e51 100644 --- a/03_Linear_regression.ipynb +++ b/03_Linear_regression.ipynb @@ -1,29 +1,60 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 Linear Regression" + ] + }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ - "from plot_lm import plot_lm\n", + "import plot_utils\n", "\n", "import pandas as pd\n", "import numpy as np\n", + "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "from mpl_toolkits.mplot3d import axes3d\n", "import seaborn as sns\n", "\n", - "from sklearn.preprocessing import scale\n", - "import sklearn.linear_model as skl_lm\n", - "from sklearn.metrics import mean_squared_error, r2_score\n", "import statsmodels.api as sm\n", - "import statsmodels.formula.api as smf" + "import statsmodels.formula.api as smf\n", + "\n", + "from scipy import stats\n", + "\n", + "from sklearn.neighbors import KNeighborsRegressor\n", + "from sklearn.model_selection import train_test_split" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'3.9.7 (default, Sep 9 2021, 23:20:13) \\n[GCC 9.3.0]'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import sys\n", + "sys.version" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -35,12 +66,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Load Datasets" + "## 3.1 Simple Linear Regression" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -50,12 +81,14 @@ "\n", "RangeIndex: 200 entries, 0 to 199\n", "Data columns (total 4 columns):\n", - "TV 200 non-null float64\n", - "Radio 200 non-null float64\n", - "Newspaper 200 non-null float64\n", - "Sales 200 non-null float64\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 TV 200 non-null float64\n", + " 1 radio 200 non-null float64\n", + " 2 newspaper 200 non-null float64\n", + " 3 sales 200 non-null float64\n", "dtypes: float64(4)\n", - "memory usage: 6.3 KB\n" + "memory usage: 6.4 KB\n" ] } ], @@ -64,10 +97,74 @@ "advertising.info()" ] }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.regplot(data=advertising, y=\"sales\", x=\"TV\", ci=None, line_kws=dict(color=\"red\"))" + ] + }, { "cell_type": "code", "execution_count": 6, "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 7.0326 0.458 15.360 0.000 6.130 7.935
TV 0.0475 0.003 17.668 0.000 0.042 0.053
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('sales ~ TV', advertising).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, "outputs": [ { "data": { @@ -90,129 +187,50 @@ " \n", " \n", " \n", - " Income\n", - " Limit\n", - " Rating\n", - " Cards\n", - " Age\n", - " Education\n", - " Gender\n", - " Student\n", - " Married\n", - " Ethnicity\n", - " Balance\n", - " Student2\n", + " Value\n", " \n", " \n", " \n", " \n", - " 0\n", - " 14.891\n", - " 3606\n", - " 283\n", - " 2\n", - " 34\n", - " 11\n", - " Male\n", - " No\n", - " Yes\n", - " Caucasian\n", - " 333\n", - " 0\n", + " Residual standard error\n", + " 3.26\n", " \n", " \n", - " 1\n", - " 106.025\n", - " 6645\n", - " 483\n", - " 3\n", - " 82\n", - " 15\n", - " Female\n", - " Yes\n", - " Yes\n", - " Asian\n", - " 903\n", - " 1\n", + " R2\n", + " 0.61\n", " \n", " \n", - " 2\n", - " 104.593\n", - " 7075\n", - " 514\n", - " 4\n", - " 71\n", - " 11\n", - " Male\n", - " No\n", - " No\n", - " Asian\n", - " 580\n", - " 0\n", + " F-statistic\n", + " 312.14\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Income Limit Rating Cards Age Education Gender Student Married \\\n", - "0 14.891 3606 283 2 34 11 Male No Yes \n", - "1 106.025 6645 483 3 82 15 Female Yes Yes \n", - "2 104.593 7075 514 4 71 11 Male No No \n", - "\n", - " Ethnicity Balance Student2 \n", - "0 Caucasian 333 0 \n", - "1 Asian 903 1 \n", - "2 Asian 580 0 " + " Value\n", + "Residual standard error 3.26\n", + "R2 0.61\n", + "F-statistic 312.14" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "credit = pd.read_csv('Data/Credit.csv', usecols=list(range(1,12)))\n", - "credit['Student2'] = credit.Student.map({'No':0, 'Yes':1})\n", - "credit.head(3)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Int64Index: 392 entries, 0 to 396\n", - "Data columns (total 9 columns):\n", - "mpg 392 non-null float64\n", - "cylinders 392 non-null int64\n", - "displacement 392 non-null float64\n", - "horsepower 392 non-null float64\n", - "weight 392 non-null int64\n", - "acceleration 392 non-null float64\n", - "year 392 non-null int64\n", - "origin 392 non-null int64\n", - "name 392 non-null object\n", - "dtypes: float64(4), int64(4), object(1)\n", - "memory usage: 30.6+ KB\n" - ] - } - ], - "source": [ - "auto = pd.read_csv('Data/Auto.csv', na_values='?').dropna()\n", - "auto.info()" + "pd.DataFrame(\n", + " {\"Value\": [np.sqrt(est.mse_resid/est.df_model), est.rsquared, est.fvalue]},\n", + " index=[\"Residual standard error\", \"R2\", \"F-statistic\"]\n", + ").round(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Sales dataset" + "## 3.2 Multiple Linear Regression" ] }, { @@ -239,21 +257,9 @@ "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('Sales ~ TV', advertising).fit()\n", - "est.summary().tables[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ + "output_type": "display_data" + }, { "data": { "text/html": [ @@ -265,7 +271,7 @@ " Intercept 9.3116 0.563 16.542 0.000 8.202 10.422\n", "\n", "\n", - " Radio 0.2025 0.020 9.921 0.000 0.162 0.243\n", + " radio 0.2025 0.020 9.921 0.000 0.162 0.243\n", "\n", "" ], @@ -273,21 +279,9 @@ "" ] }, - "execution_count": 9, "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('Sales ~ Radio', advertising).fit()\n", - "est.summary().tables[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ + "output_type": "display_data" + }, { "data": { "text/html": [ @@ -299,7 +293,7 @@ " Intercept 12.3514 0.621 19.876 0.000 11.126 13.577\n", "\n", "\n", - " Newspaper 0.0547 0.017 3.300 0.001 0.022 0.087\n", + " newspaper 0.0547 0.017 3.300 0.001 0.022 0.087\n", "\n", "" ], @@ -307,54 +301,29 @@ "" ] }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "est = smf.ols('Sales ~ Newspaper', advertising).fit()\n", - "est.summary().tables[1]" + "est = smf.ols('sales ~ TV', advertising).fit()\n", + "display(est.summary().tables[1])\n", + "\n", + "est = smf.ols('sales ~ radio', advertising).fit()\n", + "display(est.summary().tables[1])\n", + "\n", + "est = smf.ols('sales ~ newspaper', advertising).fit()\n", + "display(est.summary().tables[1])" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
OLS Regression Results
Dep. Variable: Sales R-squared: 0.897
Model: OLS Adj. R-squared: 0.896
Method: Least Squares F-statistic: 570.3
Date: Sat, 26 May 2018 Prob (F-statistic): 1.58e-96
Time: 14:29:40 Log-Likelihood: -386.18
No. Observations: 200 AIC: 780.4
Df Residuals: 196 BIC: 793.6
Df Model: 3
Covariance Type: nonrobust
\n", "\n", "\n", " \n", @@ -366,314 +335,1449 @@ " \n", "\n", "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
coef std err t P>|t| [0.025 0.975]TV 0.0458 0.001 32.809 0.000 0.043 0.049
Radio 0.1885 0.009 21.893 0.000 0.172 0.206
Newspaper -0.0010 0.006 -0.177 0.860 -0.013 0.011
\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", - "
Omnibus: 60.414 Durbin-Watson: 2.084
Prob(Omnibus): 0.000 Jarque-Bera (JB): 151.241
Skew: -1.327 Prob(JB): 1.44e-33radio 0.1885 0.009 21.893 0.000 0.172 0.206
Kurtosis: 6.332 Cond. No. 454.newspaper -0.0010 0.006 -0.177 0.860 -0.013 0.011


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." + "" ], "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: Sales R-squared: 0.897\n", - "Model: OLS Adj. R-squared: 0.896\n", - "Method: Least Squares F-statistic: 570.3\n", - "Date: Sat, 26 May 2018 Prob (F-statistic): 1.58e-96\n", - "Time: 14:29:40 Log-Likelihood: -386.18\n", - "No. Observations: 200 AIC: 780.4\n", - "Df Residuals: 196 BIC: 793.6\n", - "Df Model: 3 \n", - "Covariance Type: nonrobust \n", - "==============================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "------------------------------------------------------------------------------\n", - "Intercept 2.9389 0.312 9.422 0.000 2.324 3.554\n", - "TV 0.0458 0.001 32.809 0.000 0.043 0.049\n", - "Radio 0.1885 0.009 21.893 0.000 0.172 0.206\n", - "Newspaper -0.0010 0.006 -0.177 0.860 -0.013 0.011\n", - "==============================================================================\n", - "Omnibus: 60.414 Durbin-Watson: 2.084\n", - "Prob(Omnibus): 0.000 Jarque-Bera (JB): 151.241\n", - "Skew: -1.327 Prob(JB): 1.44e-33\n", - "Kurtosis: 6.332 Cond. No. 454.\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "\"\"\"" + "" ] }, - "execution_count": 11, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "est = smf.ols('Sales ~ TV + Radio + Newspaper', advertising).fit()\n", - "est.summary()" + "est = smf.ols('sales ~ TV + radio + newspaper', advertising).fit()\n", + "display(est.summary().tables[1])" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
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TVRadioNewspaperSales
 TVradionewspapersales
TV1.0000000.0548090.0566480.782224TV1.0000.0550.0570.782
Radio0.0548091.0000000.3541040.576223radio0.0551.0000.3540.576
Newspaper0.0566480.3541041.0000000.228299newspaper0.0570.3541.0000.228
Sales0.7822240.5762230.2282991.000000sales0.7820.5760.2281.000
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" + "\n" ], "text/plain": [ - " TV Radio Newspaper Sales\n", - "TV 1.000000 0.054809 0.056648 0.782224\n", - "Radio 0.054809 1.000000 0.354104 0.576223\n", - "Newspaper 0.056648 0.354104 1.000000 0.228299\n", - "Sales 0.782224 0.576223 0.228299 1.000000" + "" ] }, - "execution_count": 12, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "advertising.corr()" + "advertising.corr().style.background_gradient(cmap='coolwarm').format(precision=3)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", + "
\n", + "\n", + "
OLS Regression Results
Dep. Variable: Sales R-squared: 0.968
Model: OLS Adj. R-squared: 0.967
Method: Least Squares F-statistic: 1963.
Date: Sat, 26 May 2018 Prob (F-statistic): 6.68e-146
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Value
Residual standard error1.69
R20.90
F-statistic570.27
\n", + "" + ], + "text/plain": [ + " Value\n", + "Residual standard error 1.69\n", + "R2 0.90\n", + "F-statistic 570.27" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(\n", + " {\"Value\": [np.sqrt(est.mse_resid/(est.df_model-2)), est.rsquared, est.fvalue]},\n", + " index=[\"Residual standard error\", \"R2\", \"F-statistic\"]\n", + ").round(2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3.3 Other Considerations in the Regression Model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.3.1 Qualitative Predictors" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IncomeLimitRatingCardsAgeEducationOwnStudentMarriedRegionBalance
014.891360628323411NoNoYesSouth333
1106.025664548338215YesYesYesWest903
2104.593707551447111NoNoNoWest580
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" + ], + "text/plain": [ + " Income Limit Rating Cards Age Education Own Student Married Region \\\n", + "0 14.891 3606 283 2 34 11 No No Yes South \n", + "1 106.025 6645 483 3 82 15 Yes Yes Yes West \n", + "2 104.593 7075 514 4 71 11 No No No West \n", + "\n", + " Balance \n", + "0 333 \n", + "1 903 \n", + "2 580 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "credit = pd.read_csv('Data/Credit.csv')\n", + "credit.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxenplot(data=credit, y=\"Balance\", x=\"Region\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Qualitative Predictors with Only Two Levels" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 509.8031 33.128 15.389 0.000 444.675 574.931
Own[T.Yes] 19.7331 46.051 0.429 0.669 -70.801 110.267
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('Balance ~ Own', credit).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 519.6697 23.026 22.569 0.000 474.403 564.937
C(Own, Sum)[S.No] -9.8666 23.026 -0.429 0.669 -55.134 35.400
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('Balance ~ C(Own, Sum)', credit).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Qualitative Predictors with More than Two Levels" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 531.0000 46.319 11.464 0.000 439.939 622.061
C(Region, Treatment(\"East\"))[T.South] -12.5025 56.681 -0.221 0.826 -123.935 98.930
C(Region, Treatment(\"East\"))[T.West] -18.6863 65.021 -0.287 0.774 -146.515 109.142
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ensure the reference level is East\n", + "est = smf.ols('Balance ~ C(Region, Treatment(\"East\"))', credit).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9574918881199579" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est.f_pvalue" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.3.2 Extensions of the Linear Model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Removing the Additive Assumption" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", + "
Time: 14:29:40 Log-Likelihood: -270.14 coef std err t P>|t| [0.025 0.975]
No. Observations: 200 AIC: 548.3Intercept 6.7502 0.248 27.233 0.000 6.261 7.239
Df Residuals: 196 BIC: 561.5TV 0.0191 0.002 12.699 0.000 0.016 0.022
Df Model: 3 radio 0.0289 0.009 3.241 0.001 0.011 0.046
Covariance Type: nonrobust TV:radio 0.0011 5.24e-05 20.727 0.000 0.001 0.001
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('sales ~ TV + radio + TV*radio', advertising).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "est_linear = smf.ols('Balance ~ Income + Student', credit).fit()\n", + "est_interaction = smf.ols('Balance ~ Income * Student', credit).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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NnIhITonaDiuHw8mNULQC9PgKHuzq8scfi4iIk0tLNp862TQNzh8E79IQ/BHUewG8iti6unsSk5jE+wv3scJGU7es1MCJiGS3C0cgfCQc+AUKllQkgIiIuIarF2HHbDN8+7IVLA9B1zAI6Oqwa6BhGPwSYU7drqak82776rzcrGKuT92yUgMnIpJdFAkgIiKu6OIJ+H0G7PoWUq9CpVbQdSZUfBTcbNfo3K+sU7c65Xz4pEcglX1tM3XLSg2ciMj9SoqH3/4Nmz+DjDRo8Mr1SICStq5MREQk50TtMPe3HfgF3NzNCIDGb4BfTVtXdl/sceqWlRo4EZF7lZYM22bB+k/gWhzU7AFB70GxirauTEREJGdkZMDhZeb+tlObIF8RaPomPPwqFC5l6+ru2/nEZN5ftJfl++1r6paVGjgRkX8qIx32/AxrRpuRAJWCoNVwRQKIiIjzSr0GET+ZUQCxR6FIOWg71sxuc4KtArdO3Ya2q84rze1n6paVjkK7C4Zh8NRTT7Fu3brMa7/++isvv/yyDasSkVxnGHB4BXzeHBa9BgWKwXOL4LmFat7EJWl9FHEBV2Jh7TiYXBOWvAWehcxTlfvvMiMBnKB5O5+YzGvf7eDNn3bzQPGC/K9/c15tUckumzfQBO6uuLm58eGHH/Lmm2/SqFEj0tLSmDx5MrNmzbJ1aSKSW/4UCTAbHuyiSABxaVofRZxY7DHY/Cns/h7SkqBqW2jSD8o3deiDSbIyDIP/7jnH8MX7uGLnU7es1MDdpapVq9KyZUu++OILrl69SqdOnZgxYwZHjhwhLS2Nvn370rp1a44cOcLQoUNJTU0lIyODadOm8cADD9i6fBG5VxeOQPiHcOC/igQQuQ2tjyJO5tQW82CSg0vBPS8EPgmN+0LJarauLFudT0zmg0X7WLY/mtr+PkzoWYvKvo4xTXS8Bm73j7Dru+z9O+s8C7WfuuO79e3bl65du+Lp6cmjjz5Ko0aNGDNmDAkJCfTs2ZMmTZrw008/8fzzz9OpUydSUlLIyMjI3lpFJHcknIN1Y2Hnt9cjAd69HglgXxuZRTJpfRSRe5WRDgeXmAeTRG2D/EXN05Qf/hcU8rV1ddnKMAyW7DnHsOtTt3faVeeVZhXwcHecJ2ocr4GzoQIFCtC+fXsKFCjAr7/+ypo1a/jqq68ASE5O5ty5c9SuXZvPP/+c6OhoHnvsMb26KOJobo0EePhf0HywIgFE/obWRxEHlXIFdv9gHkwSF2luEWg/AWo/DZ4FbV1dtrtwOZn3F5pTt0B/HyY60NQtK8dr4Go/dVevBuaUPHnykOf6npepU6dSseLNx4VXqlSJwMBA1q5dS+/evfnwww9p3LixLUoVkX8iNcmMBNgwwYwEeKgntHwPilWwdWUid0fro4jcrcsxsDXMXPeuxUHZBhD8EVQPgTzutq4u2900dUtO5+221flXc8eaumXlmFXbgWbNmvHdd99hGAYAf/zxBwCnT5/G39+f559/nlatWnHo0CFblikid5KRbj56Nr0+rHgPSteFV9dD91lq3kTugdZHETt2/hD80s88UXL9BPNAkpdWwCur4MFOTtm8XbiczOvf76Tfj7soV7wgS/s3o8+jlRy2eQNHnMDZiddff53Ro0fTqVMnMjIyKFu2LDNnzuTXX39l8eLFeHh4UKJECV599VVblyoit2MYcGQFrBoBMX9AqdrQeTpUfNTGhYk4Nq2PInbGMODkb+b+tsPLwMPL3N/a+A0oXsnW1eWoJXvO8sEi55i6ZeVm3HiJzA5ERUXRqlUrwsPDKVu2rK3LERFndXobrBpuLmjFKkLQB4oEyGX6fv/P6P9LRP6x9DQ4sNhs3M7uggIl4OHe0OBlKFjC1tXlqAuXkxm2eB//2xtNYNkiTOgZSBWL4+x1u9P3fE3gRMR1nD9sRgIcXAIFfSFkohkJ4J7X1pWJiIhkj+RE8wTl32dA/CkoXgU6/htqPWGequzkluw5y7DF+7mclMaQttXo3byiU0zdslIDJyLOL+EsrB1rHrGeN795OEmj1xUJICIiziPhLGyZCdtnQ3K8ub+t/Xio0sYlnjC5der2Sc9AqjrQ1O2fUAMnIs7r2iUzEuD3GdcjAXrDI4Od/tERERFxIdb9sGk67J0LRjo82Bka94Oy9WxdWa5ZuuccHyze59RTt6zUwImI80lNgm1fwIaJ1yMBHoeW7+pUSRERcQ6GAcfXmvvbjoVD3oLm3rZGfaDoA7auLtfEXk7mg+tTt1rX97o569QtKzVwIuI8MtJhz39g9ShIiIJKraD1cCgVaOvKRERE7l96KuxbYDZu1r1QyAKthkG9XlCgmK2ry1VZp26hbarx6iPOPXXLSg2ciDi+WyMBSteBLp9BxRa2rkxEROT+JcXDjjnmloDEs1CyOnT+FB7qCR75bF1droq9nMywxftZuvcctcoW4ZMegVTzc/6pW1Zq4ETEsZ3eCiuHw6lNZiRAz6/NSAA3N1tXJiIicn8unYYtn5vNW0oiVGgBnaZB5VYuuc79b+85Pli0j0QXnLplpQZORByTIgFERMRZnd0Nm6ebj0sC1OwOTfq67JaA2MvJDPtlP0v3nOOhMuZeN1ebumWlBk5EHEtmJMC35qbtlu+bm7YVCSAiIo7MMODoKtg0FU6sB09vc31r+Br4+Nu6Opv5de853l+0j4SkVJeeumV1xwZu6NChrF27luLFi7NkyZKbfu+rr75i3LhxbN68mWLFimEYBqNGjWLdunV4eXkxduxYAgICAFi4cCEzZswAoE+fPnTt2jUHbkdEnNa1S/DblOuRAOnw8KuKBBAREceXlmxGAGyaDucPgHdpCP4I6r0AXkVsXZ3N3Dp1+6FnI5eeumV1xwauW7duPPvss7z99ts3XT937hy//fYbpUuXzry2fv16IiMjWbFiBREREYwYMYK5c+dy6dIlpk+fzvz583Fzc6Nbt24EBQVRpIjrflKKyF26EQmwfoK5ibvW9UgAFzomWUREnNC1ONj+lRm+fdkKloegaxgEdAUPT1tXZ1NZp26DH6vKqy0qkdfFp25Z3fF/okGDBrdttMaMGUNoaChuWTZQhoeH06VLF9zc3KhduzYJCQnExMSwceNGmjZtio+PD0WKFKFp06Zs2LAhe+9ERJxLRjrs+h6m1YMV70PZ+vDqeugWpuZN7MbQoUNp3LgxHTp0yLw2btw42rZtS8eOHXnjjTdISEjI/L2ZM2cSHBxMmzZtbloH169fT5s2bQgODiYsLCxX70FEcllcJPz6NkwKgPCR4PcQPL8YXtsAgU+4dPN28UoKfX/YSZ/vd1LaJz9L+jWnb1AVNW+3uKc9cKtWrcLX15fq1avfdN1qteLn55f5tp+fH1ar9U/XLRYLVqv1HksWEadmGHB4uRkJcP4AlK4LXWdAhUdsXZnIn9zuKZWmTZsyaNAgPDw8+OSTT5g5cyahoaEcPXqUpUuXsnTpUqxWK7169WL58uUAjBw5ktmzZ2OxWOjRowdBQUFUrlzZVrclIjkhaoe5v+3AL+Dmbj5R0vgNsATYujK7oKnb3fvHDdy1a9eYOXMmX331VU7UIyKu7NQWWDUcTm2GYpWg5xx4sLNLHpUsjqFBgwZERUXddK1Zs2aZv65duzbLli0DzKdUQkJC8PT0xN/fn/Lly7Nnzx4Aypcvj7+/eUhBSEgI4eHhauBEnEFGBhxeZgZvn9oE+YpA0zfNfdyFS9m6Ortw8UoKw3/Zz38jzlKzTGG+79mQ6n6FbV2WXfvHDdypU6eIioqic+fOAERHR9OtWzfmzp2LxWIhOjo6832jo6OxWCxYLBa2bt2aed1qtfLwww9nQ/ki4hTOHzIfI8mMBJgEdZ9XJIA4vPnz59OuXTvAXPsCA///CPCsT6Pc+pTKjcZORBxU6jWI+MmMAog9CkXKQZsxUPc5yKeDOG5Yts+cusVfS2VQcFVee1RTt7vxjxu4atWqsXnz5sy3g4KCmDdvHsWKFSMoKIjvvvuOkJAQIiIi8Pb2xtfXl2bNmjFp0iTi4+MB2LhxIwMHDsy+uxARx5RwFtaOgV3fmZEAQe9Do9fBs6CtKxO5bzNmzMDd3Z1OnTrZuhQRyS1XYmHbLNgaBlcvQKna0P1LeLALuCu964Zbp27fvtyQGqU0dbtbd/xMGjhwIFu3biUuLo5HHnmEfv360bNnz9u+b4sWLVi3bh3BwcHkz5+f0aNHA+Dj48Prr79Ojx49AHjjjTfw8fHJvrsQEcdyLQ42ToEtn5uHlTR8DZoPUiSAOI0FCxawdu1avv7668zDvm59SsVqtWKxWAD+8rqIOIgLR+H3T2H3D5CWBFXbQpN+UL6ptgHcYtm+aN5ftFdTt/twxwZu0qRJf/v7q1evzvy1m5sbw4cPv+379ejRI7OBExEXlZpkviq5YaIiAcRprV+/nlmzZvHdd9+RP3/+zOtBQUEMGjSIXr16YbVaiYyMpFatWhiGQWRkJKdPn8ZisbB06VImTpxowzsQkbtiGHB6i7m/7eBS87H/wCehcV8oWc3W1dmduCspDLs+dQsoranb/dAsV0RyXka6uRdgzWhIiILKwdB6uHl0sogDu91TKmFhYaSkpNCrVy8AAgMDGTlyJFWqVKFdu3a0b98ed3d3hg0bhru7OwDDhg3jlVdeIT09ne7du1OlShVb3paI/J2MdHPP9qZpELUN8heFRwZDg3+Bt6bnt5N16jYwuCp9NHW7L2rgRCTnGIZ5+taqDxUJIE7pdk+p/NU2A4A+ffrQp0+fP11v0aIFLVq0yNbaRCSbpVwxH5HcPN3Mciv6ALSfALWf1t7tvxB3fa/bL5q6ZSs1cCKSM7JGAhSvrEgAERFxTJdjzMf/t80y93CXbQDBI6F6B8jjbuvq7Nby/dG8t3Afl66mMKB1VV5vqalbdlEDJyLZK+agGQlwaCkUskCHyVDnOUUCiIiIY4k5aE7b9vwH0lOhegg06Q/lGtq6MrsWdyWFEf/dz+LdZ3mwVGG+eelhHiytqVt2UgMnItkj/owZCbD7e0UCiIiIYzIMiNxo7m87shw8vMwXIRu/AcUr2bo6u7difzTvauqW49TAicj9yRoJYGRcjwQYDAWL27oyERGRu5OeBn8sMhu3c7uhQAl4dCg0eEURN3dBU7fcpQZORO5N6rUskQAJ1yMB3oOi5W1dmeSg3acvMWH5IUr7eDG+R6CtyxERuT/JibDzW/h9BsSfguJVoOO/odYTkDf/nf+83DR1e6t1Fd5oWVlTtxymBk5E/pmMdIj48XokwBmo8hi0Gg5+NW1dmeSg4+cvM2HFIf63N5riBT15pmE5W5ckInLvEs7ClpmwfTYkx5uB2+3HQ5U2kEfNx924dDWFEb/sZ5GmbrlODZyI3B3DgEO/QviHcP4glKkHXWdChea2rkxyUExCElPCj/Cfbafx8sjDW62r8ErzihTKp+VDRByQdT9smg5754KRbp6O3LgflK1n68ocyq1Tt9cfrYynhxrf3KIVWETu7NTvsHI4nP7djAR4/Buo0UmRAE4sISmVsHXH+XLjCVLTM3i2YTn6BlWhpHc+W5cmIvLPGAYcX2Pubzu2GvIWgAYvQ6M+Zpab3LVLV1P48L9/sHDXGWqUKsyclxoQULqIrctyOWrgROSvxRw0J26H/nc9EmAK1HlWkQBOLDktnW83n+TTNUeJu5pKp8DSDHqsKuWL6zRREXEwaSmwf4HZuFn3metYq2FQrxcUKGbr6hzOyj+svLtwL3FXUnizlbnXTVM321ADJyJ/Fh91PRLgB/AsBEEfmK9UKhLAaaVnGCzefYaJKw5z5tI1mlcpwdttq1OzjF5ZFREHkxQPO76G3z+HxLNQsjp0/hQe6gkeeorgn7p16vZ1L03dbE0NnIj8v6sXYeNk83RJIwMa9oHmgxQJ4MQMw2Dt4fOM+/UgB6MTqVmmMOO616JZFR2bLSIO5tJpM9JmxxxISYQHmkOnqVC5tR75v0er/rAyVFM3u6MGTkTMSIAtM2HjpOuRAE9Ay3cVCeDkdp2KY+yvB9ly4iLlixdg2lN1CHmoFHny6AcdEXEgZ3fD5umwb4H5ds1u0LgvlK5ty6ocWtapW3U/b2a/2EBPZNgRNXAiriw9DSJ+gDVjzMdMFAngEo6dv8yE5Yf4dV80JQp5MrJzAE82KKdXVUXEcRgGHF0Fm6bCifXg6W0+6t/wNfDxt3V1Dm3V9b1uF6+k0L9VFfpq6mZ31MCJuKIbkQCrRsCFQ2YkQLcwRQI4OUUCiIjDS0s2IwA2TTMjbbxLQ/BHUO8F8NKE6H7EX03lw//uZ8H1qdtXmrrZLa3aIq5GkQAuJyEplZnrjvHlxhOkZxg816g8fYMqU6KQNvOLiIO4ehG2f2Xu0b5sBctD0DUMArqCh6etq3N44QesDF2wl9grKfQPqkzfoCqautkxNXAiriLmAISPvB4J4KdIABdwIxJg+pqjXFIkgIg4oosn4PcZsOtbSL0KlVpB15lQ8VG98JgN4q+m8uGS/SzYqambI1EDJ+Lsbo0EaDXMPF3Ss4CtK5Mckp5hsGjXGSatVCSAiDioqB3m/rYDv4CbuxkB0PgN7dHORpq6OS41cCLO6tZIgEavm5EACi91WoZhsPbQecYtMyMBHipTRJEAIuI4MjLg8DJzf9upTZCvCDTpDw1fhcKlbV2d09DUzfGpgRNxNrdGAgQ+BS2Hgk85W1cmOejWSIDpT9ehfU1FAoiIA0i9BhE/mVEAsUehiD+0GQN1n4N83rauzqmsPmhO3S5cTqFfUGX6aermkNTAiTiLP0UCtIHWw8ESYOvKJAcdO3+ZT5YdYtl+MxLgo84BPKFIABFxBFdiYdss80mRqxegVG3o8RXU6Azu+hE1O8VfTWXkkj+YvzOKahZvZj3fgIfKaurmqPTVIeLoDMM8mGTVh9cjAepD9y/ggWa2rkxykDUhiSmrjvDzdjMSYEDrqrzSvAIFFQkgIvYu9hhs/hR2fw9pSVC1LTTpB+Wb6mCSHHDr1K1vUGXyebjbuiy5D1rpRRzZyc2wajic3gLFq8AT30H1DloAnZgiAUTEIRmGuVZtmgYHl5onIAc+CY37Qslqtq7OKcVfS+WjJX8wb4embs5GDZyII4o5YE7cDv9qRgJ0/DfUflaPnDixpNR0vvv9/yMBOtcuzaDgapQrrtNERcSOZaTDwSVm4xa1DfIXhUcGQ4N/gbfF1tU5rTUHY3hnwR4uXE6hb8vK9GulqZsz0U97Io4kPsrc4xbxA3h6KxLABdwaCfBI1ZIMaVNNJ4aJiH1LuWLG12yeDnGRUPQBaD8Baj8NnsqizClZp25VLYX44vn61CrrY+uyJJvdsYEbOnQoa9eupXjx4ixZsgSAcePGsWbNGvLmzUu5cuUYM2YMhQsXBmDmzJnMmzePPHny8P7779O8eXMA1q9fz6hRo8jIyKBnz5707t07B29LxMnciATYMhMwFAngAgzDYM2hGMb9eohDVjMSYHyPWjStrEgAEbFjl2PMQ0m2zYJrcVC2AQR/BNVDII8mQDlpzcEYhi7Yy/nLybzRshL9W1XR1M1J3bGB69atG88++yxvv/125rWmTZsyaNAgPDw8+OSTT5g5cyahoaEcPXqUpUuXsnTpUqxWK7169WL58uUAjBw5ktmzZ2OxWOjRowdBQUFUrlw55+5MxBmkXoMtn5vNmyIBXMbO65EAWxUJICKO4vwhc9oW8R9ITzEbtib9oVxDW1fm9G6duoU9X09TNyd3xwauQYMGREVF3XStWbP/P92udu3aLFu2DIDw8HBCQkLw9PTE39+f8uXLs2fPHgDKly+Pv78/ACEhIYSHh6uBE/kr6Wnm6VxrxyoSwIUcjbnMhOU3IgHy8VHnAJ58uBx53RUJICJ2yDDg5G/m/rbDy8DDC+o8C43fgOKVbF2dS1hzKIah8zV1czX3vQdu/vz5tGvXDgCr1UpgYGDm71ksFqxWKwB+fn43Xb/R2IlIFoZhns4V/iFcOGw+etJ9FjzQ1NaVSQ6Kjk/i3+GH+Xl7FF4eeRgYXJWXmykSQETsVHoaHFhsNm5nd0GBEvDou9DgZSiox7xzQ/y1VD5e8gdzNXVzSff108GMGTNwd3enU6dO2VWPiOs6uQlWDoeorYoEcBHx18xIgK9+MyMBnm9cnr4tK1NckQAiYo+SE2Hnt/D7DIg/BcUrQ4cpZhxA3vy2rs5l3Ji6xSQm8fqjlXiztaZuruaeG7gFCxawdu1avv76a9yu/4BpsViIjo7OfB+r1YrFYh4R+1fXRVye9Q9z4nZ4GXiXgo5TofYzigRwYkmp6Xy7+SSfrjUjAbrULs1ARQKIiL1KOGseorV9NiTHm4Hb7cebj/fn0SPeuSX+Wiqjlv7Bz9ujqOJbiJnPNSXQ38fWZYkN3NNPiOvXr2fWrFl899135M///6+4BAUFMWjQIHr16oXVaiUyMpJatWphGAaRkZGcPn0ai8XC0qVLmThxYrbdhIhDunQa1o4xj1nOVxhaDYeGrykSwImlZxgs3HWGSSsOcTY+SZEAImLfrPth03TYOxeMdHiwMzTuB2Xr2boyl7P2UAzvaOom192xgRs4cCBbt24lLi6ORx55hH79+hEWFkZKSgq9evUCIDAwkJEjR1KlShXatWtH+/btcXd3Z9iwYbi7m59cw4YN45VXXiE9PZ3u3btTpUqVnL0zEXt19SJsnARbwgDD3OytSACndmskQK2yRZjQM5AmigQQEXtjGHB8rbm/7Vg45C1o7m1r1MfMcpNclZBk7nXT1E2yumMDN2nSpD9d69mz51++f58+fejTp8+frrdo0YIWLVr8w/JEnEjK1euRAFMgOcEMM310KPj427oyyUE7TsYx7teDbI28yAPFC/Dp03Vp/5Bf5qPnIiJ2IT0V9i0wGzfrXihkgVbDoF4vvcBoI+sOn+ed+XuwJiTR59FKvNmqCl55NXWTbDiFUkTuIDMSYAwknoOqbc1FUZEATu1ozGU+WX6Q5futZiRAl5o82cBfkQBOZujQoaxdu5bixYuzZMkSAC5dusSAAQM4c+YMZcqUYcqUKRQpUgTDMBg1ahTr1q3Dy8uLsWPHEhBgfh9YuHAhM2bMAMwXQrt27WqzexIXkxQPO+aYB5MknoWS1aHzp/BQT/DQgUq2kJCUyqglB/jP9tNU9i3EgtebUltTN8lCDZxITjEMOLgEwkdejwR4GHp8BeWb2LoyyUE3IgH+s+00BTw9GBRclZcUCeC0unXrxrPPPsvbb7+deS0sLIzGjRvTu3dvwsLCCAsLIzQ0lPXr1xMZGcmKFSuIiIhgxIgRzJ07l0uXLjF9+nTmz5+Pm5sb3bp1IygoiCJFtDdSctCl0+ZTITvmQEoiVHgEOk2Fyq11+rENaeomd0M/UYjkhJObYOUwiNoGJarCE99D9RAtik4s/loqn687xlcbT5BhGLzQ5AFFAriABg0aEBUVddO18PBwvv32WwC6dOnCc889R2hoKOHh4XTp0gU3Nzdq165NQkICMTExbN26laZNm+Lj4wNA06ZN2bBhAx06dMjt2xFXcC7CfExy3wLz7ZrdoUlfKBX4939OclRCUiqjlx7gp22ausmdqYETyU6KBHA5NyIBpq85SkJSKl1ql2FgcFX8i+k0UVcVGxuLr68vACVLliQ2NhYwI3T8/Pwy38/Pzw+r1fqn6xaLBavVmrtFi3MzDDi6CjZNhRPrwdPbPJSk4Wvah20Hsk7dXmtRibdaa+omf08/VYpkh0unYc1oiPhRkQAuIj3DYMHOKCavPMzZ+CRaVC3JkLbVCCitx97k/7m5uenAGrGdtGQzAmDTdDh/ALxLQ/BHUO8F8NL3KltLTEpl1PWpW6WSBZnfpwl1yhW1dVniANTAidyPqxdhw0TY+oX5dpO+0GygTuxyYoZhsPpgDOOWHeSw9bIiAeRPihcvTkxMDL6+vsTExFCsmPn9wGKxEB0dnfl+0dHRWCwWLBYLW7duzbxutVp5+OGHc71ucSLX4mD7V2b49mUrWB6CrmEQ0BU8PG1dnQDrr0/dohOSeLVFRQa0rqqpm9w1NXAi9yLlKmyZARv/rUgAF5I1EqBCiYKKBJDbCgoKYtGiRfTu3ZtFixbRqlWrzOvfffcdISEhRERE4O3tja+vL82aNWPSpEnEx8cDsHHjRgYOHGjLWxBHFRdpnia581tIvQKVWkHXmVDxUe3BthOaukl2UAMn8k+kp8Hu72Dt2OuRAO2uRwI8aOvKJAcdjUlk/LJDrPjDjAT4uEtNnlAkgAADBw5k69atxMXF8cgjj9CvXz969+7NW2+9xbx58yhdujRTpkwBzDzUdevWERwcTP78+Rk9ejQAPj4+vP766/To0QOAN954I/NAE5G7ErUDNk+DPxaDmzvUehwav6G4GjujqZtkFzVwInfjRiTAqg8h9ogiAVxEdHwSU1Yd5uftZiTA4MfMSIACnvrWKaZJkybd9vqcOXP+dM3NzY3hw4ff9v179OiR2cCJ3JWMDPPArE3T4NQmyFcEmvQ3918XLmXr6iSLxKRURv/vAD9uNadu8/o0oa6mbnIf9FOIyJ1E/garhisSwIXEX01lxrpjzP7NjAR4sUkF3mhZSZEAImJ7qdcg4ifYPB1ij0IRf2gzBuo+B/m8bV2d3GLDkfO8M38v5+Kv8eojFRkQrKmb3D81cCJ/xbrfnLgdWW6e3NVpGgQ+rUgAJ5aUms43myP5dM0xRQKIiH25EgvbZsHWMLh6wcxt6/4lPNhF65IdMqduB/lx6ykqauom2Uxf8SK3unTqeiTAT2YkQOsR8PCrigRwYooEEBG7FXsMNn8Ku7+HtCSo0sY88fiB5noSxE5p6iY5TQ2cyA2ZkQBhgBs06QfNBigSwIkZhkH4gRjGLzcjAQLLFmHC44E0qaRIABGxsVNbzODtg0vBPS8EPgmN+0LJarauTP7CrVO3ua81oV55Td0k+6mBE0m5Yh67/Nu/IeWy+Zhky6FQpKytK5MctOPkRcb+epBtkXFUKFGQz56pS7uaigQQERvKSDcPzNo0zdx3nb8oPDIYGvwLvC22rk7+xsYjF3h7/h7Oxl+j9yMVGaipm+QgNXDiutLTYNe3ZiTA5WhFAriIrJEAJb3zMaprTR6vr0gAEbGhlCuw+wfzYJK4SCj6ALSfYGaMeha0dXXyNy4npzH6fwf4YcspKpYoyDxN3SQXqIET12MYcOC/ED7SjATwbwg9v4byjW1dmeSgc/HXmLLyCHN3KBJAROzE5Rjzsf1ts+BaHJSpD8EjoXoHyKPpjb3T1E1sRT+5iGuJ3Agrh8OZ7VCiGjz5A1Rrr43gTixrJIBhQK+mFXijZWWKFfS0dWki4qrOHzKnbRE/QXqqGU3TpJ/5gqLWI7t3OTmNMf87wPeauomNqIET1xC9D8I/hCMrFAngIpJS05mzKZLP1pqRAF1rl2GAIgFExFYMA07+Zu5vO7wMPLygznPQ+A0oXsnW1cld+u3oBYbMM6du/2pegUGPVdPUTXKdfnoV55Y1EsCrMLT+EBq+Cnnz27oyySHpGQbzr0cCnItP4tFqJRnSpjoPli5s69JExBWlp8Efi8zG7dxuKFACHn0XGrwMBXXiraP489StMfXK65RqsQ01cOKcrsSakQDbvkCRAK7BMAxWHYjhkxuRAP4+THq8No0rFbd1aSLiipITYee35inH8aegeGXoMMWMA9CLiA5l09ELhF6fur3SrAKD22jqJralBk6cy62RALWfhkcVCeDstkeakQDbT8ZRsURBZjxTl7aKBBARW0g4C1tmwvbZkBwP5ZpAu3FQtS3k0Wm3jiTr1K1CiYLMfbUx9R/QC8Fie2rgxDmkp2aJBLCaB5O0Gga+NWxdmeSgI9ZExi8/xMrrkQCjuz5Ez/plFQkgIrnPuh82TYe9c8FIhxodoUl/KFvf1pXJPdh09AJD5u/hzCVz6jbosWrk99TUTeyDGjhxbIYBB365Hglw9HokwBxFAji5c/HXmLzyMPN2RFHQ04PQNtXo1fQBRQKISO4yDDi+1tzfdiwc8haA+r2g0etQrIKtq5N7cCU5jTG/HuC73zV1E/uln3bEcZ3YAKuGw5kd1yMBfoRq7XQEsxOLv5rKZ+uO8vVvkYoEEBHbSU+FfQvMxs26Fwr6QtD7UP9l7bV2YFmnbi83q8BgTd3ETqmBE8cTvRdWfQhHV16PBJgOgU8pEsCJ3YgE+HTNURKT0xQJICK2kRQPO+bAls8h4Yz54mGn6VDrcfDIZ+vq5B5dSU5j7K8H+fb3k1QoUZCfX21MA03dxI7pJ15xHHEnzUiAPf8xIwGCR8LDvXWalxNLS89gwc4zTF5lRgK0rFaSIW2rU6OUIgFEJBddOm02bTvmQEoiPNDcPFGycmsdTOLgNh0zc900dRNHcscGbujQoaxdu5bixYuzZMkSAC5dusSAAQM4c+YMZcqUYcqUKRQpUgTDMBg1ahTr1q3Dy8uLsWPHEhAQAMDChQuZMWMGAH369KFr1645eFviVK7EwoYJsG0W4AZN+5uRAPmL2royySE3IgHGLzvIkRhFAoiIjZzdDZunm49LAtTsBo37QunatqxKskHWqdsDxQto6iYO5Y4NXLdu3Xj22Wd5++23M6+FhYXRuHFjevfuTVhYGGFhYYSGhrJ+/XoiIyNZsWIFERERjBgxgrlz53Lp0iWmT5/O/PnzcXNzo1u3bgQFBVGkSJEcvTlxcClX4PfP4LepigRwIbdGAnz+bF3aBCgSQERyiWHA0VWwaSqcWA+ehaBRH2j4Gvj427o6yQabj8UyZH4EUXHXeKlpBULbaOomjuWODVyDBg2Iioq66Vp4eDjffvstAF26dOG5554jNDSU8PBwunTpgpubG7Vr1yYhIYGYmBi2bt1K06ZN8fHxAaBp06Zs2LCBDh06ZP8dieP7UyRAyPVIgOq2rkxy0BFrIuOWHWLVASu+1yMBHq9fFg9FAohIbkhLNiMANk2D8wfNPdbBI6HuC5Dfx9bVSTa4kpzGuGUH+WazOXX7T+/GPFxBUzdxPPe0By42NhZfX18ASpYsSWxsLABWqxU/P7/M9/Pz88Nqtf7pusViwWq13k/d4owMA/5YbEYCXDwG/o3g8W+gXCNbVyY56Oyla0xZpUgAEbGRqxdh+1ewNcx80dDyEHQNg4Cu4KETbp1F1qlbr6YPMKRNdU3dxGHd909Ibm5uerRJ7l/WSICS1eGpn6BqW0UCOLFLV1OYsfYYX28yIwFeuh4JUFSRACKSG+IiYfNn5hMfqVehUivoOhMqPqq1x4lknbqV19RNnMQ9NXDFixcnJiYGX19fYmJiKFbM/EKwWCxER0dnvl90dDQWiwWLxcLWrVszr1utVh5++OH7LF2cQtZIgMJloPNnEPgk5NGrYs4qKTWdrzdF8tmNSIA6ZRgYXJWyRRUJICK5IGqHub/twC/g5g4P9YTGb4BfTVtXJtlMUzdxVvfUwAUFBbFo0SJ69+7NokWLaNWqVeb17777jpCQECIiIvD29sbX15dmzZoxadIk4uPjAdi4cSMDBw7MvrsQxxN3EtaMgj0/g1cRCP4IHv6XIgGcWFp6BvN3RjF55RGiE5IIqu5LaJtqigQQkZyXkQFHlpv7207+BvmKQJP+0PBVKFza1tVJNruaksa4Xw8yR1M3cVJ3bOAGDhzI1q1biYuL45FHHqFfv3707t2bt956i3nz5lG6dGmmTJkCQIsWLVi3bh3BwcHkz5+f0aNHA+Dj48Prr79Ojx49AHjjjTcyDzQRF5M1EsAtDzR9E5q9pUgAJ2YYBiv/sDJ++SGOxlymtr8PU56sTaOKigQQkRyWeg0ifoLNn0LsESjiD23GQN3nIJ+3rauTHPD78ViGzNvDqYtXebHJAwxpW017qsXp3PEzetKkSbe9PmfOnD9dc3NzY/jw4bd9/x49emQ2cOKCbkQCbPw3pF6BOs9Ci3egSBlbVyY5aNv1SIAdJ+OoWLIgnz9bjzYBFu2bFZGcdSXWfKFwaxhcvQClAqH7l/BgF3DXD/POKOvUrVyxAvyndyMa6oVCcVL6LiY5Kz0Vdn4D68aZp3tV72BGApSsZuvKJAcdtiYyftlBVh2Iwdc7H2O6PUTPeooEEJEcFnvMnLbt/h7SkqBKG2jSDx5opoNJnJimbuJq9NktOePWSIByjeHxb6FcQ1tXJjno7KVrTF55mPk7/z8S4KWmFbRpXERyjmHA6S3m/raDS8E9L9R6Ahr3VX6ok7uaksb4ZYf4elOkpm7iUtTASfY7sR5WjbgeCVADnvoPVG2jVz+d2I1IgNmbIkGRACKSGzLS4eASs3GL2mbupX5kMDT4F3hbbF2d5LAtx2MJ1dRNXJQ+0yX7RO81G7ejq6BwWUUCuICk1HRm/xbJjLVmJEC3OmUZEFxFkQAiknNSrsDuH8xHJeNOQNEHoP0EqP00eBa0dXWSw26duv3Uu5EOxRKXowZO7t+tkQCPfWy+AprXy9aVSQ65XSTAkLbVqO6nSAARySGXY8xDSbbNgmtxUKY+BH9o7q3WC4UuYcvxWIbM38PJWE3dxLXps17u3ZULsH4CbP/SjARo9hY0fQvy+9i4MMkphmGw4g8rn1yPBKhTzod/P1lbew5EJOecPwSbp0PEfyA9BaqHmAeT+DfUo/ku4sbUbc7mSPyLauomogZO/rmUK7D5M/gtSyTAo0MVhurktkVeZMz/DrDz1CVFAohIzjIMM3B70zQ4vAw8vKDOM9DoDShR2dbVSS7aeuIiofMiOBl7lRcal+ftdtU1dROXp68AuXuKBHBJh6IT+WS5GQlgKaxIAJG79fXXXzN37lzc3NyoWrUqY8aMISYmhoEDB3Lp0iUCAgIYP348np6epKSkMGTIEPbv34+Pjw+TJ0+mbNmytr6F3JeeBgcWm43b2V1QoAQ8+i40eBkKlrB1dZKLrqWkM375Qb7eFEnZovn58V+NaFxJUzcRUAMnd8Mw4I9FEP6RIgFcyJnrkQALdkZRMJ8HQ9pWo1cTRQKI3A2r1co333zD//73P7y8vHjzzTdZunQp69at48UXXyQkJIRhw4Yxb948nn76aebOnUvhwoVZuXIlS5cuZcKECUyZMsXWt5F7khNh57fw+wyIPwXFK0OHKeZBWHnz27o6yWVZp27PNy7P222rUzCffmQVuUFfDfL3TqyHlcPh7E5FAriIS1dT+GztMb6+HgnwcrMKvP6oIgFE/qn09HSSkpLw8PAgKSmJkiVL8vvvvzNx4kQAunbtyvTp03n66adZvXo1ffv2BaBNmzaMHDkSwzCc/xHlhLOwZSZsnw3J8eYLhO3GQtV2kEdTfldz69Tth381pEklTV5FbqUGTm7v1kiALjPMYFSd9OW0rqWkM3vTCWasPcbl5DS61y3LgOCqlPHRq98i/5TFYuGll16iZcuW5MuXj6ZNmxIQEEDhwoXx8DCXXj8/P6xWK2BO7EqVKgWAh4cH3t7exMXFUaxYMZvdQ46y7odN02HvXDDSoUYn82CSsvVtXZnYyLbIi4TOjSBSUzeRO9JXhtwsLhJWjzIXVUUCuIS09Azm7Yhi8qrDWBOSaVXdl1BFAojcl/j4eMLDwwkPD8fb25s333yTDRs22Los2zIMOL7W3N92LBzyFoD6L0GjPlCsgq2rExu5lpLOJ8sPMXvTCcr4aOomcjfUwInpRiTAtlnmlE2RAE7vRiTA+GUHOXb+CnXL+TDtqbo8XMFJX/EXyUWbNm2ibNmymRO0xx57jJ07d5KQkEBaWhoeHh5ER0djsVgAc2J37tw5/Pz8SEtLIzExkaJFi9ryFrJPeirsW2A2bta9UNAXgj4wm7cC+n7jyrZFXmTIvD2cuHCF5xqV5512mrqJ3A19lbg6RQK4pK0nLjL2VzMSoFLJgsx8rh6PPahIAJHsUrp0aSIiIrh27RpeXl5s3ryZmjVr0rBhQ5YvX05ISAgLFy4kKCgIgKCgIBYuXEidOnVYvnw5jRo1cvyvx6R42DHHPJgk8SyUrA6dppmP43vks3V1YkOauoncHzVwrio9FXbOgbXj4EqMIgFcxKHoRMYvO0j4QTMSYGy3h+ihSACRbBcYGEibNm3o2rUrHh4e1KhRgyeeeIJHH32UAQMGMGXKFGrUqEHPnj0B6NGjB6GhoQQHB1OkSBEmT55s4zu4D/FRZtO2Yw6kJMIDzaHTVKjUSgeTCNsjLxKqqZvIfdFXjKv5UyRAE3jye/B/2NaVSQ66EQkwf2cUhRQJIJIr+vfvT//+/W+65u/vz7x58/70vvny5WPq1Km5VVrOOBdhPia5b4H5dkBX82CS0rVtWpbYh2sp6UxYcYivfrs+dXulIU0qa+omci/UwLmS4+vMkyXP7gTfB+Hpn6HKY4oEcGJxV1L4bO1R5mw+CcC/mlfk9Ucr4VNAkQAikg0MwzyteNNUM3bGsxA0fA0avQY+5WxdndiJrFO3ZxuV4512NSikqZvIPdNXjys4t8ds3I6FKxLARSgSQERyVFqyeVrxpulw/gB4l4bgkVD3BR1+JZmupaQzccUhvvztBKWLaOomkl3UwDmzzEiAnyF/UUUCuIC09Azm7ohiyvVIgNY1fAltU51qft62Lk1EnMHVi7Bjthm+fdkKlprQ5XOo2R08NNmX/7fj5EUGzzWnbs80LMfQ9pq6iWQXfSU5oysXYP0nsO1LyOMBzQYoEsDJGYbB8v1Wxi8/yHFFAohIdouLNA8m2fmteWJxpSDzaY5KQXoMX26SlJrOhOX/P3X7/pWGNNXUTSRbqYFzJsmX4fcbkQDXskQClLJ1ZZKDthyPZeyyg+xSJICIZLczO8yDSf5YDG55oGYP82ASv5q2rkzs0I6TFwmdu4fjmrqJ5Ch9VTmD9FTY8TWsG29GAtToCEHDoGRVW1cmOehgdALjlx1i9cEY/Ap7Ma77Q3Svq0gAEblPGRlweJnZuJ3aBPmKQJP+0PBVZYTKbWnqJpK71MA5sowMMxJg9Udw8TiUb6pIABdw5tI1Jq04zIJdZiTA222r82KTBxQJICL3J/UaRPwEm6dD7FEo4g9tRkPd5yGf9tHK7WWduj3dsBzvauomkuP0Feaojq+DVcPh7C5FAriIWyMBejevSB9FAojI/boSC9tmwdYwuHoBStWG7l/Cg13AXT8myO0lpZonTM7aaE7dvnu5Ic2qaOomkhv0ndnRnIu4HgmwWpEALuJaSjpf/XaCz9ce40rK/0cClFYkgIjcj9hjsPlT2P0DpF2DKm2gSV94oLleDJS/teNkHKHzIjh+XlM3EVvQV5ujuHgC1owyc3fyF4XHRkGDVxQJ4MQUCSAiOeLUFjN4++BScM8LgU9C475QspqtKxM7l5SazqSVh5m14TilNHUTsRk1cPbuT5EAA6Hpm4oEcGJmJEA045cf4vj5K9QrX5TpT9elwQOKBBCR+3R8HXzTCbx8oPkgeLg3eFtsXZU4gJ2n4hg815y6PfVwOd5tXx1vr7y2LkvEJd1XA/f1118zd+5c3NzcqFq1KmPGjCEmJoaBAwdy6dIlAgICGD9+PJ6enqSkpDBkyBD279+Pj48PkydPpmzZstl1H84n+bL5aMumqYoEcCFbjscy5teD7D59icq+hQh7rh7BigQQkexSug488T1UagmeBW1djTiArFM3v8JefPvywzSvUtLWZYm4tHtu4KxWK9988w3/+9//8PLy4s0332Tp0qWsW7eOF198kZCQEIYNG8a8efN4+umnmTt3LoULF2blypUsXbqUCRMmMGXKlGy8FSehSACXpEgAEckVXoWhRgdbVyEOQlM3Eft0XxO49PR0kpKS8PDwICkpiZIlS/L7778zceJEALp27cr06dN5+umnWb16NX379gWgTZs2jBw5EsMwNFm44baRAD+AfwNbVyY5KCruKpNWHmbhrjN45/PgnXZmJIBXXh1KIyIitpGUms7klYf5QlM3Ebt0zw2cxWLhpZdeomXLluTLl4+mTZsSEBBA4cKF8fAw/1o/Pz+sVitgTuxKlTIf//Pw8MDb25u4uDiKFdO+Ho6tMU+WPLcbfAPg6blQJVingDmxuCspfLrmKN9sPglu0PuRirzeojJFCuiVTRERsZ2dp+IInRvBsfNXeOphf95tX0NTNxE7c88NXHx8POHh4YSHh+Pt7c2bb77Jhg0bsrM253d2t9m4HV9jBqYqEsDpXU1JY/ZvkZmRAD3qleWt1ooEEBER20pKTWfyqsN8sd6cun3z0sM8UlVTNxF7dM8N3KZNmyhbtmzmBO2xxx5j586dJCQkkJaWhoeHB9HR0Vgs5ulWFouFc+fO4efnR1paGomJiRQtWjR77sLRXDwOq0fBvnmQvxi0GQ31X1YkgBNLS8/g5+1mJEBMYjKta1gY0rYaVS2KBBAREdvadX2v27HzV3iygT/vhtSgsKZuInbrnhu40qVLExERwbVr1/Dy8mLz5s3UrFmThg0bsnz5ckJCQli4cCFBQUEABAUFsXDhQurUqcPy5ctp1KiR6+1/u3zejATY/pUZCdB8MDTtD15FbF2Z5JDbRQJ8+owiAURExPayTt0shb2Y89LDtNDUTcTu3XMDFxgYSJs2bejatSseHh7UqFGDJ554gkcffZQBAwYwZcoUatSoQc+ePQHo0aMHoaGhBAcHU6RIESZPnpxtN2H3khOvRwJMMyMB6j4HLd5RJICT+/14LGOvRwJU8S3EF8/Xp3UNX9d74UJEROzOrlNxhM7bw9GYy5q6iTiY+zqFsn///vTv3/+ma/7+/sybN+9P75svXz6mTp16P/+c40lLgZ1zYN04uHIeanSCVsOgRBVbVyY56MC5BMYvO8iaQ+fxK+zF+O616Fa3jCIBRETE5jR1E3F899XAyV/IyIA/FkL4RxB3Aso3gyd/VCSAk7s1EmBou+q8oEgAERGxE7tPX2Lw3AiOxlzmifr+vNdBUzcRR6QGLrsdWwOrhsO5CDMS4Jl5ULm1IgGc2MXrkQDfKhJARETsUFJqOlNWHSFs/TEshb34ulcDHq3ma+uyROQeqYHLLrdGAnSdCQ/1VCSAE1MkgIiI2Lvdpy8ROjeCI5q6iTgNNXD3S5EALic1PYOft59myqojnE9MJvhBC0PaVKOKIgFERMROJKeZU7eZ6zR1E3E2auDulSIBXI5hGCzbF80nyw9x/MIV6pcvyoxn6lJfkQAiImJHIq7vdTsSc5nH65fl/Q4Pauom4kTUwP1Tf4oEeB5avK1IACe3+VgsY5cdJEKRACIiYqeyTt18vb2Y3asBLTV1E3E6auDuVloK7PjajAS4ekGRAC7iwLkExi07yNpD5ylVxIvxPWrRvW5Z3POocRMREftx69TtvZAHKZJfUzcRZ6QG7k4yMmD/Alj9EcRFmpEAwR9C2fq2rkxy0OmLV5m88jALd5+hsFde3m1fnecbKxJARETsS3JaOv9edYSZ649TslA+Td1EXIAauL+TNRLAUlORAC7g4pUUpq8+yne/n8TNDV59pBJ9WlRSJICIiNidrFO3nvXMvW6auok4PzVwt3N21/VIgLVQpNz1SIDHIU8eW1cmOeRqShpfbTzBzHXHuZKSRs96/rwVXIVSRRQJICIi9iU5LZ2p4Uf4fN1xShTyZPaLDWhZXVM3EVehBi6ri8dh9cewb/7/RwI0eAU88tm6MskhigQQERFHsifKnLodtl6mR72yfKCpm4jLUQMHZiTAunGwYza4e8IjodCknyIBnJhhGPx6PRLgxIUrNHigKJ8/W5d65RUJICIi9kdTNxG5wbUbuORE2DQdNk83IwHqvWBGAnj72boyyUG3RgLMer4+rRQJICIidmpP1CVC5+7hkDXRnLqFPKi92SIuzDUbuFsjAR7sDEHDoERlW1cmOeiPswmMX/7/kQCf9KhFN0UCiEgOSUhI4P333+fw4cO4ubkxevRoKlSowIABAzhz5gxlypRhypQpFClSBMMwGDVqFOvWrcPLy4uxY8cSEBBg61sQG7t16vbVi/UJqm6xdVkiYmOu1cDdGgnwQHNo/SGUrWfryiQHnb54lUkrD7NIkQAikotGjRpF8+bNmTp1KikpKSQlJfH555/TuHFjevfuTVhYGGFhYYSGhrJ+/XoiIyNZsWIFERERjBgxgrlz59r6FsSG9kbFM3huBIesiXSvW5ZhHTR1ExGT6zRwx1bDyuEQved6JMB8qNxKkQBOTJEAImIriYmJbNu2jbFjxwLg6emJp6cn4eHhfPvttwB06dKF5557jtDQUMLDw+nSpQtubm7Url2bhIQEYmJi8PXVHidXk5yWzrTwo8xYd0xTNxG5Ledv4LJGAviUg25fQM0eigRwYldT0vhywwlmrj/O1ZQ0Hq/vz5utFQkgIrknKiqKYsWKMXToUA4ePEhAQADvvfcesbGxmU1ZyZIliY2NBcBqteLn9//7r/38/LBarWrgXIymbiJyN5y3gYs9ZkYC7F9gRgK0HQv1X1IkgBNLTc/gP9tO8+9wMxLgsQctDGlbjcq+igQQkdyVlpbGH3/8wQcffEBgYCAff/wxYWFhN72Pm5ubDk8SwJy6TV99lM/WHqN4QU++fKE+rWpo6iYit+ecDdy68eYBJe6e8MiQ65EAhW1dleQQwzD4395oJqxQJICI2Ac/Pz/8/PwIDAwEoG3btoSFhVG8ePHMRyNjYmIoVsz8PmWxWIiOjs7889HR0Vgs+gHeFew7E8+gn82pW7e6ZRjeIUBTNxH5W87ZwF08DvVeNJs3by2AzmzTsQuM+/UgEVHxVLUU4ssX6hNUXZEAImJbJUuWxM/Pj+PHj1OxYkU2b95MpUqVqFSpEosWLaJ3794sWrSIVq1aARAUFMR3331HSEgIEREReHt76/FJJ5eSlsG01Ucyp26znq9P6wf1M4uI3JlzNnBdP7d1BZLD/jibwLhlB1l3+DylFQkgInbogw8+YPDgwaSmpuLv78+YMWPIyMjgrbfeYt68eZQuXZopU6YA0KJFC9atW0dwcDD58+dn9OjRti1ectS+M+Zet4PRiXSrU4bhHTV1E5G755wNnDit0xevMnHFIRZHnKWwV17ea1+D5xqXVySAiNidGjVqsGDBgj9dnzNnzp+uubm5MXz48NwoS2woJS2D6auP8OnaYxTT1E1E7pEaOHEIsZeTmb7GjATI4+bGay0q8VqLShTJr1csRUTE/t06dRvW8UF8CnjauiwRcUBq4MSu3S4S4K3WVfEr4mXr0kRERO4oJS2D6WuO8tmaoxTV1E1EsoEaOLFLqekZ/LTtNP9edYQLl5NpE2AhtI0iAURExHFknbp1rVOG4Zq6iUg2UAMnduXWSICHHyjGzOfqUa98UVuXJiIicldunbp98Xx9gjV1E5Fscl8NXEJCAu+//z6HDx/Gzc2N0aNHU6FCBQYMGMCZM2coU6YMU6ZMoUiRIhiGwahRo1i3bh1eXl6MHTuWgICA7LoPcQKbjl5g3DIzEqCaxZuvXqxPy2qKBBAREcex/2w8g+fu4cC5BE3dRCRH3FcDN2rUKJo3b87UqVNJSUkhKSmJzz//nMaNG9O7d2/CwsIICwsjNDSU9evXExkZyYoVK4iIiGDEiBHMnTs3u+5DHNj+s/GMW3aI9dcjASb0DKRrnTKKBBAREYehqZuI5JY89/oHExMT2bZtGz169ADA09OTwoULEx4eTpcuXQDo0qULq1atAsi87ubmRu3atUlISCAmJub+70Ac1umLV3nrp12ETN3InqhLvNe+BqsHP0qPespzExERx7H/bDydP/2NqeFH6FCrFCsHPKLmTURyzD1P4KKioihWrBhDhw7l4MGDBAQE8N577xEbG4uvry8AJUuWJDY2FgCr1Yqfn1/mn/fz88NqtWa+r7iO2MvJTFt9lO+3nMQ9jxuvP1qJVxUJICIiDiYlLYNP1xzl0zVH8SngSdhz9XgswO/Of1BE5D7ccwOXlpbGH3/8wQcffEBgYCAff/wxYWFhN72Pm5ub9i9JpivJaXy58QRh1yMBnmjgz5utFAkgIiKOJ+tety61SzOiU4D2uolIrrjnBs7Pzw8/Pz8CAwMBaNu2LWFhYRQvXpyYmBh8fX2JiYmhWLFiAFgsFqKjozP/fHR0NBaLHi9wBanpGfy09RT/Dj/KhcvJtA3wY3CbalT2LWTr0kRERP6RlLQMPlt7lOmrzanbzOfq0UZTNxHJRffcwJUsWRI/Pz+OHz9OxYoV2bx5M5UqVaJSpUosWrSI3r17s2jRIlq1agVAUFAQ3333HSEhIURERODt7a3HJ52cYRgs3XuOCcsPERl7lYcfKEbY8/WoW06RACIi4nj+OJvAoLkRHDiXQOfapRnRMYCiBTV1E5HcdV+nUH7wwQcMHjyY1NRU/P39GTNmDBkZGbz11lvMmzeP0qVLM2XKFABatGjBunXrCA4OJn/+/IwePTo76hc7tenoBcYuO8geRQKIiIiDS00397pp6iYi9uC+GrgaNWqwYMGCP12fM2fOn665ubkxfPjw+/nnxAHsOxPPuGUH2XDkAmV88jOxZyBdFAkgIiIO6o+zCQyeG8Ef5xLoFFiaDztp6iYitnVfDZzIDadirzJx5SEW7z6LT4G8vB9Sg2cblccrr7utSxMREfnHUtMz+GzNMaatPoJPgbx8/mw92tbU1E1EbE8NnNwXRQKIiIizOXDOnLrtP6upm4jYHzVwck+uJKcxa8MJwtYfIyktg8fr+/NW6ypYCisSQEREHFNqegYz1ppTtyL5NXUTEfukBk7+EUUCiIiIM8o6det4fepWTFM3EbFDauDkrmRkmJEAE1dcjwSooEgAERFxfH+eutWlbc1Sti5LROQvqYGTO/rt6AXG/nqQvWfiqe7nzewXG/BotZKKBBAREYd24FwCofMi2HdGUzcRcRxq4OQvKRJAREScUdapW2EvTd1ExLGogZM/ORV7lQkrDvFLhCIBRETEuRyMNve67TuTQIdapRjZuaambiLiUNTASaYLl5OZniUS4I2WZiRAYS9FAoiIiGNLTc/g87XHmHp96jbjmbq0e0hTNxFxPGrghMvJaczacJwv1h8nKS2DJxr482YrRQKIiIhzyDp1C6lVipGdAiheKJ+tyxIRuSdq4FxYSloGP207xdTwI1y4nEK7mmYkQKWSigQQERHHl5qewcx1x/h3uDl1++yZurTX1E1EHJwaOBd0IxJgwopDnIy9SsMKxQh7vroiAURExGkcik5k0NzdmrqJiNNRA+diNh65wNhlB9h3JsGMBOjVgEerKhJAREScQ1p6Bp9r6iYiTkwNnIu4NRJg0uOBdK6tSAAREXEeh6ITGTw3gr1n4gl5qBQjO2vqJiLORw2ckzsZe4WJKw7zS8RZiioSQEREnFBaegYz1x/n36uOUMjLg0+frktILU3dRMQ5qYFzUhcuJzMt/AjfbzmFh7sbfVtWpneLiooEEBERp3LYak7d9kRp6iYirkENnJNRJICIiLgCTd1ExFWpgXMSKWkZ/Lj1FNNWm5EA7R/yY9BjigQQERHnk3Xq1v4hP0Z2rkkJTd1ExEWogXNwGRkGS/aeY8LyQ5y6aEYCfPF8deooEkBERJzMrVO36U/XoUOt0rYuS0QkV6mBc2CKBBAREVdx2JpI6NwIIqLiaVfTj4+6aOomIq5JDZwDujUSYPITgXQOLEMeRQKIiNiV9PR0unfvjsViYebMmZw+fZqBAwdy6dIlAgICGD9+PJ6enqSkpDBkyBD279+Pj48PkydPpmzZsrYu3y5knboVzOeuqZuIuLw8ti5A7t7J2Cv0+3EXHaZtZN+ZeD7o8CCrB7ega52yat5EROzQN998Q6VKlTLfnjBhAi+++CIrV66kcOHCzJs3D4C5c+dSuHBhVq5cyYsvvsiECRNsVbJdOWJNpPuMTXyy/BCtaviycmALNW8i4vLUwDmA84nJDF+8j1YT17HqDyv9giqzbkhLXm5WgXweynMTEbFH0dHRrF27lh49egBgGAa///47bdq0AaBr166Eh4cDsHr1arp27QpAmzZt2Lx5M4Zh2KZwO5CWnsFna48SMnUjpy5eZdpTdfjsmbp6ZFJEBD1CadcuJ6fxxfrjfLHhOMlpGTx5PRLAV5EAIiJ2b/To0YSGhnLlyhUA4uLiKFy4MB4e5tLr5+eH1WoFwGq1UqqUeQS+h4cH3t7exMXFUaxYMdsUb0NHrp8wGREVT9sAc69bSW81biIiN6iBs0M3IgGmhh8h9ooZCTD4sWpUVCSAiIhDWLNmDcWKFaNmzZps2bLF1uU4hLT0DL7YcILJKw9TMJ87056qQ4dapXQwl4jILdTA2ZGMDIP/7jnLxBWHOXXxKo0qFuPLdjWo7e9j69JEROQf2LlzJ6tXr2b9+vUkJydz+fJlRo0aRUJCAmlpaXh4eBAdHY3FYgHAYrFw7tw5/Pz8SEtLIzExkaJFXScO5og1kcHz9hBx+pKmbiIid3Dfe+DS09Pp0qULr776KgCnT5+mZ8+eBAcH89Zbb5GSkgJASkoKb731FsHBwfTs2ZOoqKj7/aedyoYj5+k4fSNv/rSbAp7ufN2rAT/+q5GaNxERBzRo0CDWr1/P6tWrmTRpEo0aNWLixIk0bNiQ5cuXA7Bw4UKCgoIACAoKYuHChQAsX76cRo0aucTkKS09gxlrjxEybSOnYq8w9ak6zHi2rpo3EZG/cd8NnE7Yuj97o+J5dtYWnvtyK/HXUpn8RCD/69+cR6v5usTiLSLiSkJDQ5k9ezbBwcFcunSJnj17AtCjRw8uXbpEcHAws2fPZvDgwTauNOcdjUmk++ebGbfsIC2rlWTFgBZ0CiyttU9E5A7u6xHKGydsvfbaa3z99deZJ2xNnDgRME/Ymj59Ok8//TSrV6+mb9++gHnC1siRIzEMw2W/UUdeuMKEFYdYsuccRQvkZViHB3mmUTmdKiki4mQaNmxIw4YNAfD39898YTOrfPnyMXXq1NwuzSbSMwy+2HCcSSsPU8DTnX8/WVuNm4jIP3BfDZxO2PrnzicmM231EX7Ycoq87nnoF1SZfz1SkcJeeW1dmoiISI46GpPI4Ll72H36Em0CLHzc5SE9Liki8g/dcwOnE7b+mcvJaYStP86s65EATz3sT/8gRQKIiIjz09RNRCT73HMDpxO27k5KWgY/bDnJtNVHib2SQshDpRj0WFVFAoiIiEs4GnOZwXMj2H36Eo89aOHjrjXx9daLlyIi9+qeG7hBgwYxaNAgALZs2cJXX33FxIkT6d+/P8uXLyckJOS2J2zVqVPHJU7YujUSoHHF4rzdrrpOlRQREZeQnmEwa8NxJmrqJiKSrbI9By40NJQBAwYwZcoUatSocdMJW6GhoQQHB1OkSBEmT56c3f+03dhw5Dxjfz3I/rMJ1ChVmDkvPcwjVUpo0RIREZdwNOYyofMi2HXqEsEPWhilqZuISLbJlgZOJ2yZ9kRdYtyyg/x2NJayRfMz5Qnz1cY8edS4iYiI88s6dcufV1M3EZGckO0TOFeUNRKgWEFPhnd8kKcbKhJARERch6ZuIiK5Qw3cfTifmMzU8CP8uNWMBOh/PRLAW5EAIiLiItIzDL7ceJwJK8yp25QnatO5tqZuIiI5RQ3cPUhMSuWLDSeYteE4KWkZPPmwP/1bVdErjSIi4lKOnb9M6NwIdp66ROsaFkZ3ral4HBGRHKYG7h9ITkvnhy2nmLb6KBevpBBSqxSDH6tGhRIFbV2aiIhIrknPMPhq4wkmrDiEV153Jj8RSJfaZTR1ExHJBWrg7sKNSIAJKw5x+uI1GlcszjvtqhOoSAAREXExN0/dfBnd9SFN3UREcpEauL9hGAbrj1xg3K8H+eNcAg+WKsyclx5SJICIiLgcTd1EROyDGri/sCfqEmN/PcimY2YkwL+frE3HWooEEBER13P8/GVC5+1hx8k4Td1ERGxMDdwtTlyPBFiqSAAREXFx6RkGs387wSfLD5HPIw+THg+kax1N3UREbEkN3HUxiUlMDT/CT1tP4+mRh/6tqvCv5hUUCSAiIi5JUzcREfvk8g1cYlIqX6w/zhcbTpCansFTD5ejX6vKigQQERGXpKmbiIh9c9kGTpEAIiIiNzt+/jJD5u1h+8k4WlX3ZXS3h7Bo6iYiYldcroHLyDD4JeIsE1eakQBNKpmRALXK+ti6NBEREZu4deo2sWcg3epq6iYiYo9cpoG7XSTANy89RHNFAoiIiAs7ceEKoXMj2H4yjqDqvozR1E1ExK65RAMXcfoS45aZkQD+xRQJICIiknXq5umRhwk9A+muqZuIiN1z6gbuxIUrTFh+iKV7zUiAER0f5OmG5fH0yGPr0kRERGzmxIUrDJkXwbZIc+o2uutD+BXR1E1ExBE4ZQOnSAAREZE/y8gwmL0pkk+WHySvu6ZuIiKOyOkauC3HY3lx9jZS0zN4umE5+gVVoaR3PluXJSIiYnN9f9zJ//ZG07JaScZ0q6Wpm4iIA3K6Bs7bKy9PPVyO5xuX5wFFAoiIiGQKLOtD6xoW5bqJiDgwp2vgHixdmGGlH7R1GSIiInbn1RaVbF2CiIjcJ53mISIiIiIi4iDUwImIiIiIiDgINXAiIiIiIiIOQg2ciIiIiIiIg1ADJyIiIiIi4iDUwImIiIiIiDgINXAiIiIiIiIOQg2ciIiIiIiIg1ADJyIiIiIi4iA8bF1AVunp6QBER0fbuBIREclJN77P3/i+L39P66OIiOu40xppVw3c+fPnAXjmmWdsXImIiOSG8+fPU758eVuXYfe0PoqIuJ6/WiPdDMMwbFDPbSUlJbFv3z5KliyJu7u7rcsREZEckp6ezvnz56lZsyZeXl62LsfuaX0UEXEdd1oj7aqBExERERERkb+mQ0xEREREREQchF3tgXME586dY8iQIcTGxuLm5sbjjz/OCy+8wLRp0/j5558pVqwYAAMHDqRFixY2rvbvBQUFUbBgQfLkyYO7uzsLFizg0qVLDBgwgDNnzlCmTBmmTJlCkSJFbF3qbR0/fpwBAwZkvn369Gn69+9PYmKiXX8shg4dytq1aylevDhLliwB+Mv/d8MwGDVqFOvWrcPLy4uxY8cSEBBg4zu4/T2MGzeONWvWkDdvXsqVK8eYMWMoXLgwUVFRtG/fngoVKgAQGBjIyJEjbVk+cPt7+Luv45kzZzJv3jzy5MnD+++/T/PmzW1W+w23u4e33nqLEydOAJCYmIi3tzeLFy+224+DOBdnWSO1PtqG1kf7+L6s9dE+Pg5/y5B/xGq1Gvv27TMMwzASExONxx57zDhy5IgxdepUY9asWTau7p9p2bKlERsbe9O1cePGGTNnzjQMwzBmzpxpjB8/3hal/WNpaWlGkyZNjKioKLv/WGzdutXYt2+fERISknntr/7f165da7z88stGRkaGsWvXLqNHjx42qflWt7uHDRs2GKmpqYZhGMb48eMz7+H06dM3vZ+9uN09/NXnzpEjR4yOHTsaycnJxqlTp4xWrVoZaWlpuVnubd3uHrIaM2aMMW3aNMMw7PfjIM7FWdZIrY+2ofXRPmh9tH96hPIf8vX1zXyFp1ChQlSsWBGr1WrjqrJPeHg4Xbp0AaBLly6sWrXKtgXdpc2bN+Pv70+ZMmVsXcodNWjQ4E+v2v7V//uN625ubtSuXZuEhARiYmJyu+Q/ud09NGvWDA8Pc6hfu3Ztuz/u/Hb38FfCw8MJCQnB09MTf39/ypcvz549e3K4wjv7u3swDINff/2VDh065HJV4sqceY3U+pjztD7aB62P9k8N3H2IioriwIEDBAYGAvD999/TsWNHhg4dSnx8vI2ruzsvv/wy3bp14z//+Q8AsbGx+Pr6AlCyZEliY2NtWd5dW7p06U1fiI72sfir/3er1Yqfn1/m+/n5+TnED0Pz58/nkUceyXw7KiqKLl268Oyzz7J9+3YbVnZnt/vcufXjYLFY7P7jsH37dooXL84DDzyQec2RPg7i+Bx9jdT6aB+0PtoPrY/2Qw3cPbpy5Qr9+/fn3XffpVChQjz11FOsXLmSxYsX4+vry9ixY21d4h39+OOPLFy4kC+++ILvv/+ebdu23fT7bm5uuLm52ai6u5eSksLq1atp27YtgEN+LLJylP/3vzJjxgzc3d3p1KkTYL4iv2bNGhYtWsQ777zDoEGDuHz5so2rvD1H/9zJasmSJTf90OZIHwdxfI6+Rmp9tE+O8v/+V7Q+2gdnWB/VwN2D1NRU+vfvT8eOHXnssccAKFGiBO7u7uTJk4eePXuyd+9eG1d5ZxaLBYDixYsTHBzMnj17KF68eOYjCDExMZmbVe3Z+vXrCQgIoESJEoBjfiz+6v/dYrHc9KhFdHR05sfNHi1YsIC1a9cyYcKEzEXW09OTokWLAlCzZk3KlSuXuYnY3vzV586tHwer1WrXH4e0tDRWrlxJ+/btM6850sdBHJszrJFaH+2H1kf7oPXRvqiB+4cMw+C9996jYsWK9OrVK/N61ueuV61aRZUqVWxR3l27evVq5qsLV69e5bfffqNKlSoEBQWxaNEiABYtWkSrVq1sWOXdWbp0KSEhIZlvO9rHAvjL//cb1w3DYPfu3Xh7e2c+SmJv1q9fz6xZs5gxYwb58+fPvH7x4kXS09MB8yS0yMhI/P39bVXm3/qrz52goCCWLl1KSkpK5j3UqlXLVmXe0aZNm6hYseJNj7U40sdBHJczrJFaH+2L1kf7oPXRvijI+x/avn07zzzzDFWrViVPHrP/HThwIEuWLOHgwYMAlClThpEjR9rtNxIwP0HfeOMNwEx779ChA3369CEuLo633nqLc+fOUbp0aaZMmYKPj49ti/0bV69epWXLlqxatQpvb28AQkND7fpjMXDgQLZu3UpcXBzFixenX79+tG7d+rb/74ZhMHLkSDZs2ED+/PkZPXo0Dz30kK1v4bb3EBYWRkpKSubny41jeJcvX87UqVPx8PAgT5489OvXj6CgINveALe/h61bt/7l586MGTOYP38+7u7uvPvuu3Zx9Pbt7qFnz5688847BAYG8tRTT2W+r71+HMS5OMMaqfXRdrQ+2sf3Za2P9vFx+Dtq4ERERERERByEHqEUERERERFxEGrgREREREREHIQaOBEREREREQehBk5ERERERMRBqIETERERERFxEGrgRO5TnTp1bF2CiIiI3dH6KJIz1MCJiIiIiIg4CA9bFyDiLLZs2cL06dMpWrQohw8fJiAggAkTJuDm5saePXsYPXo0V69exdPTk6+//pq8efMyYsQI9u3bh7u7O++88w6NGjViwYIFrFq1imvXrnHy5EleeuklUlNTWbx4MZ6enoSFheHj48OpU6f48MMPiYuLw8vLi48++ohKlSrZ+r9BRETkJlofRbKZISL3pXbt2oZhGMbvv/9u1K1b1zh37pyRnp5uPP7448a2bduM5ORkIygoyIiIiDAMwzASExON1NRU48svvzTeeecdwzAM4+jRo0aLFi2MpKQkY/78+Ubr1q2NxMREIzY21qhbt67xww8/GIZhGKNGjTJmz55tGIZhPP/888aJEycMwzCM3bt3G88991zu3riIiMjf0PookjM0gRPJRrVq1cLPzw+A6tWrc+bMGby9vSlZsiS1atUCoFChQgDs2LGDZ599FoBKlSpRunRpTpw4AUDDhg0z38/b25ugoCAAqlatyqFDh7hy5Qq7du3izTffzPy3U1JScucmRURE/iGtjyLZRw2cSDby9PTM/LW7uzvp6en3/ffkyZOHvHnzZv46PT0dwzAoXLgwixcvvr+CRUREcoHWR5Hso0NMRHJYhQoVOH/+PHv27AHg8uXLpKWlUb9+ff773/8CcOLECc6dO0fFihXv6u8sVKgQZcuW5ddffwXAMAwOHjyYMzcgIiKSA7Q+itwbTeBEcpinpyeTJ0/m448/JikpCS8vL2bPns3TTz/NiBEj6NixI+7u7owZM+amVxbv5JNPPmHEiBHMmDGDtLQ02rdvT/Xq1XPwTkRERLKP1keRe+NmGIZh6yJERERERETkzvQIpYiIiIiIiINQAyciIiIiIuIg1MCJiIiIiIg4CDVwIiIiIiIiDkINnIiIiIiIiINQAyciIiIiIuIg1MCJiIiIiIg4CDVwIiIiIiIiDuL/AOWNXF5bKb5KAAAAAElFTkSuQmCC\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "sns.lineplot(x=credit.Income, y=est_linear.fittedvalues, hue=credit.Student, ax=ax1)\n", + "sns.lineplot(x=credit.Income, y=est_interaction.fittedvalues, hue=credit.Student, ax=ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Non-linear Relationships" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 392 entries, 0 to 396\n", + "Data columns (total 9 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 mpg 392 non-null float64\n", + " 1 cylinders 392 non-null int64 \n", + " 2 displacement 392 non-null float64\n", + " 3 horsepower 392 non-null float64\n", + " 4 weight 392 non-null int64 \n", + " 5 acceleration 392 non-null float64\n", + " 6 year 392 non-null int64 \n", + " 7 origin 392 non-null int64 \n", + " 8 name 392 non-null object \n", + "dtypes: float64(4), int64(4), object(1)\n", + "memory usage: 30.6+ KB\n" + ] + } + ], + "source": [ + "auto = pd.read_csv('Data/Auto.csv', na_values='?').dropna()\n", + "auto.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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mpgcylindersdisplacementhorsepowerweightaccelerationyearoriginname
018.08307.0130.0350412.0701chevrolet chevelle malibu
115.08350.0165.0369311.5701buick skylark 320
218.08318.0150.0343611.0701plymouth satellite
316.08304.0150.0343312.0701amc rebel sst
417.08302.0140.0344910.5701ford torino
\n", + "
" + ], + "text/plain": [ + " mpg cylinders displacement horsepower weight acceleration year \\\n", + "0 18.0 8 307.0 130.0 3504 12.0 70 \n", + "1 15.0 8 350.0 165.0 3693 11.5 70 \n", + "2 18.0 8 318.0 150.0 3436 11.0 70 \n", + "3 16.0 8 304.0 150.0 3433 12.0 70 \n", + "4 17.0 8 302.0 140.0 3449 10.5 70 \n", + "\n", + " origin name \n", + "0 1 chevrolet chevelle malibu \n", + "1 1 buick skylark 320 \n", + "2 1 plymouth satellite \n", + "3 1 amc rebel sst \n", + "4 1 ford torino " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "auto.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ "\n", "\n", - " \n", - "\n", - "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 6.7502 0.248 27.233 0.000 6.261 7.239 coef std err t P>|t| [0.025 0.975]
TV 0.0191 0.002 12.699 0.000 0.016 0.022Intercept 56.9001 1.800 31.604 0.000 53.360 60.440
Radio 0.0289 0.009 3.241 0.001 0.011 0.046horsepower -0.4662 0.031 -14.978 0.000 -0.527 -0.405
TV:Radio 0.0011 5.24e-05 20.727 0.000 0.001 0.001np.power(horsepower, 2) 0.0012 0.000 10.080 0.000 0.001 0.001
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('mpg ~ horsepower + np.power(horsepower, 2)', auto).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12,5))\n", + "common_config = dict(ci=None, truncate=False, scatter=False)\n", + "plt.scatter(data=auto, x=\"horsepower\", y=\"mpg\", facecolors='None', edgecolors='k', alpha=.5) \n", + "sns.regplot(data=auto, x=\"horsepower\", y=\"mpg\", label='Linear', color='orange', **common_config)\n", + "sns.regplot(data=auto, x=\"horsepower\", y=\"mpg\", label='Degree 2', order=2, color='blue', **common_config)\n", + "sns.regplot(data=auto, x=\"horsepower\", y=\"mpg\", label='Degree 5', order=5, color='g', **common_config)\n", + "plt.legend()\n", + "plt.ylim(5,55)\n", + "plt.xlim(40,240);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.3.3 Potential Problems" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1. Non-linearity of the Data" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "model_linear = smf.ols('mpg ~ horsepower', auto).fit()\n", + "model_quad = smf.ols('mpg ~ horsepower + np.power(horsepower, 2)', auto).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n", + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "plot_utils.residuals_vs_fitted(model_linear, ax=ax1)\n", + "plot_utils.residuals_vs_fitted(model_quad, ax=ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2. Correlation of Error Terms" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "plot_utils.residuals_autocorrelation(model_linear, ax=ax1);\n", + "plot_utils.residuals_autocorrelation(model_quad, ax=ax2);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3. Non-constant Variance of Error Terms" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "plot_utils.residuals_vs_fitted(model_linear, ax=ax1, show_quantiles=True)\n", + "plot_utils.residuals_vs_fitted(model_quad, ax=ax2, show_quantiles=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "plot_utils.residuals_normality(model_linear, ax1)\n", + "plot_utils.residuals_normality(model_quad, ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 4. Outliers" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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WrrrqKpYsWcJ3v/vdcB7Ps88+y/nnn8/ChQu54447wufavXs3V199NXPnzuXZZ58Nv/7Pf/6TCy64gAsuuICnn366x3eQZZkHH3yQefPmcd1119HS0hLzvggEmcLKrQ1YjFosRi0qSULnd2LEy8qtDbjdbj755BNGjx7Nyy+/zEcffcSjjz6KSnV0mZ8zZw6vvfYasizz5ZdfkpubS2lpaRq/kUCQeDo/Jx67DYPswWLU8samGj755BMqKys5cOAAoMiE9957j9GjRwPKM/Lqq68C8M4773DqqaciSVLavotAIBDEIutbE0TasE+aNIlp06bh8/nCFao6c9JJJ3HSSSfhdDp56aWXurx33XXX9Xq+0047jb/85S/MmzePGTNmcP7553PKKadwzTXX8PTTT/PMM89QWFhIY2Mjf/rTn3jllVcwm81cc801TJw4Meb32b59O6+//jrDhw/n//7v/8jNzeU///kPXq+Xyy67jNNOO41Vq1Zx+umnc8sttxAIBHp4A7du3cpbb73Fa6+9RiAQ4MILL4xZfryoqIh//vOf6PV69u/fz5133skrr7zS5W9efPFFrrnmGhYtWoTX6yUYDHZ5/+677+aFF15g+fLlgKIgHjhwgEcffZRf//rX3H777bzzzjssXrwYUPJ5XnnlFXw+H1dffTV//etfKSws5K233mLZsmU8/PDDPPnkk7z33nvodLouIaT79u3j2WefxW63c95553H55Zezc+dOXnnlFV566SVkWWbp0qWccsopXa77qlWr2LdvH2+99RbNzc0sWLCAiy66KOZ9EQgygdp2F+UWQ/h3p62VD55bhtcXYE2envnz53PWWWcxceJEhg4dyqWXXgrAOeecw6233srs2bNZu3Yt55xzDkajkd/85jfp+ioCQdLo/Jw4ba2899wfkIMBfP4g1136bc4880yuuOIKHA4HsiwzYcIEHnjgAQAuvvhifvSjH3HOOedgsVhYtmxZOr+KQCAQxCTrlblUYzKZeOWVV9i4cSMbNmzgjjvu4K677mLJkiVd/m7Lli2ccsopFBYWAnD++ef38GRF4vjjj2f48OEAfPzxx+zcuZN33nkHgI6ODg4cOMDxxx/Pvffei9/v5+yzz6aqqqrLMTZu3MjZZ5+N0WgECHvfesPv9/Pggw/yzTffoFKpIo71pJNO4vHHH6e+vp5zzz2XUaNGxTzusGHDwuObNGkStbW14ffOP/98QFHMqqur+c53vgNAMBikpKQEgAkTJnD33Xczd+5czj777PBnZ8+ejU6no7CwkMLCQlpaWvjiiy84++yzycnJAZQN7MaNG7soc59//jkLFixArVZTVlbGqaeeGvM7CASZQkW+EavLh8WoBaCoopJzb/89FqOWO84ZH/677du3R/y8JEn84he/SMlYBYJ00fk5Kaqo5JJ7Hgv/fuuR5yQU6dIdvV7PH//4x1QOVyDIKET/0uwj65W53jxpWq221/dzcnJieuIioVarmT59OtOnT2f8+PG89tprPZS5/hJSREAJ/7jvvvvCleg68/zzz7N27VruuecevvOd7/Dtb3877rGHyix7vd7w608//TTFxcUsX76cYDDICSec0OOzCxcu5MQTT+SDDz7gxhtv5IEHHmDGjBm9ni8Ujho6t8fjCf8eUjZlWWbcuHH83//9X4/PP/nkk3z++ee8//77PP7447z++usRjyvy7gTHAvMnl/HkOiVsOtegocPtx+rycek00dRYIAghnhOBoP+EejOaTCZ8Ph9XXHEFs2bNYtGiReG+i3fddRcvv/wyV1xxRZf+pV999RW//OUvw71NBalB5Mz1kb1793bxWu3YsYOhQ4cCitfO4XAAcMIJJ/D555/T1taGz+frV8XE008/nX/961/4fD5A8WA5nU5qa2spLi5m6dKlXHLJJWzbtq3L56ZNm8bq1atxu93Y7Xbef//98HsVFRVs3boVoMuYOjo6KCkpQaVSsXz5cgKBQI/xHDx4kOHDh3PNNdcwd+5cdu7c2eNvNBpNeLzxUllZSWtrK5s3bwaU8Mtdu3YRDAapq6vj1FNP5e6776ajowOn0xn1OFOnTmX16tW4XC6cTierV6/uUcVv2rRpvP322wQCARobG9mwYUOfxioQpJOqcgs3zqrEYtRSZ3VjMWq5cVYlVeWWdA9NIMgYxHMiEPQf0b80+8h6z1yqcTqd/PrXv8Zms6FWqxk5cmS45cDSpUv53ve+R2lpKc899xy33norl112Gbm5uV1CIdesWcPWrVu5/fbbez3XJZdcQm1tLUuWLEGWZQoKCvjrX//KZ599xlNPPYVGoyEnJ4f//u//7vK5SZMmcf7557N48WIKCws5/vjjw+9df/31/PCHP+Sll15i9uzZ4devuOIKfvCDH/Daa69xxhlndPEQhnj77bdZvnw5Go2G4uJibrrpph5/s3TpUhYtWsTEiRO7FCzpDZ1Oxx//+Ed+/etf09HRQSAQ4Nprr2XUqFH86Ec/wm63I8sy11xzTa/VOidNmsSSJUu45JJLACX3oXue4jnnnMOnn37K+eefz9ChQznppJPiGqNAkClUlVvEplQgiIF4TgSC/hMIBFiyZAk1NTVcccUVEfuX/uxnPwOi9y8VxbVShySHYu4yjEOHDjF37lzWrFnDsGEiNEIgEAgGM2LN7xviegkEgmRjs9n4/ve/z/3338/48Uq+6X333YfRaAwrczfddBM33HBDOBLq2muv5e677+7iSBAMjFjrvfDMCQQCQZbQ18T0f/zjH+E800AgwJ49e1i/fj35+fnp/SICgUAgyCh21FlZubWB2nYXFflG5k8uo6rcEu7NOH78+HD/0j//+c/hz4n+pelH5MwJBAJBlhBKTF+xYgWvvfYaH374IV9++SWLFi1i5cqVvP7663g8nnDy+fe+9z2WL1/O8uXLufPOO5k2bZpQ5AQCgUDQhR11Vp5ctw+ry0e+ykNTaztPrtvHl/sbRP/SLEB45gQCgSBL6C0xPUTnxPTOvPnmm1xwwQUpG6tAIBAIsoOVWxuwGLVYjFpaWtv44Lk/4PcHWP83masuXiz6l2Y4QpkTCASCLKIviekhXC4XH374Iffff3+qhysQCASCDKe23UW5xQAQ7s0YlGXqrG5uvUSRMaJ/aeYiwiwFAoEgi1Cr1Sxfvpy1a9eyZcsWqqurw+898MADTJ06tUdLjvfff5+TTz5ZhFgKBAKBoAcV+UY63F379Xa4/VTkG9M0IkFfEJ45gUAgyGCiJaXn5eXFTEwP8eabb7JgwYI0jF4gEAgEmc78yWU8uW4fALkGDR1uP1aXj0uniUq52YDwzAkEAkGG0jkpvdxioKGpmb+8s5UddVbcbnfMxHSAjo4OPv/8c+bOnZumbyEQCASCTKaq3MKNsyqxGLXUWd1YjFpunFUpejVmCcIzJxAIBBlK56R0AI23g8+fWcb1z8gUmbTMnz+/18R0gFWrVnHaaaeRk5OTtu8hEAgEgsymqtwilLcsRShzAoFAkKF0TkoHJTF96U8fo87q5pFLjhY+iZaYDrBkyRKWLFmS1HEKBAKBQCBID2lT5qI1vxUIBAKBQkW+EavLF/bMgUhKFwgEAoFAcJS05cxFa34rEAgEAoX5k8uwunxYXT6Cshz+//zJZekemkAgEAgEggwgbZ65aM1vBQKBQKAQSkrvXM3y0mnDRF6DQCAQCOImWlVkweAgrTlzvTW/FQgEAoFIShcIBAJB/wlVRbYYtZRbDFhdPp5ct09UqxxEpLU1QW/NbwUCgUAgOFbxeDxcfPHFLFq0iAULFvDHP/4x3UMSCARZSOeqyCpJCv9/5daGdA9NkCAyoppl9+a3AoGgb0QrKHTvvfeydetWZFmmsrKShx9+GJPJhNfr5cc//jHbtm0jPz+fZcuWMWyYaA4qEGQKobxyk8mEz+fjiiuuYNasWZx00knpHppAIMgiuldFBqUxeG27K00jEiSatHnmWltbsdlsAF2a3woEgr4TraDQvffey4oVK3j99dcpLy/nhRdeAODll18mLy+PVatWcd111/HII4+k+RsIBILOiLxygSC72VFnZdmqau5++SuWrapmR501LeOoyDfS4fZ3eU1URR5cpE2Za2xs5JprrmHhwoVcfPHFzJw5k7POOitdwxEIsppoGz+z2QyALMu43e7w37/33ntceOGFAMybN4/169cjy3LqBy4QCKISCARYvHgxM2fOZObMmSKvXCDIEkJ5alaXr0ueWjoUOlEVefCTtjDL4447jtdeey1dpxcIBh3RCgr99Kc/Ze3atYwZM4Z77rkHgIaGBsrLywHQaDTk5ubS1tZGYWFh2sYvEAi6Esort9lsfP/736e6ulqkIggEWUDnPDUg/O/KrQ0pLzoiqiIPfjIiZ04gEPSdSKWGI238Hn74YQKBAL/61a946623uOiii9I99GMGUQ5akAhEXrlgsDHY18ZMy1MTVZEHN2mtZikQCPpHbyEcnTd+IdRqNQsWLODdd98FoKysjLq6OkAJy+zo6KCgoCAt32WwkklhNoLsQ+SVCwYrx8LaKPLUBKlEKHMCQRbSvdSwzu/EiJeVWxvCG7/KykoOHDgAKDlz7733XngzOGfOHF599VUA3nnnHU499VRRXCHBiHLQgoEg8soFg5VjYW0UeWqCVCLCLAWCLKR7CIfT1soHzy3D6wuwJk/P/PnzOfPMM7niiitwOBzIssyECRN44IEHALj44ov50Y9+xDnnnIPFYmHZsmXp+iqDlkwLsxFkFyKvXDBYORbWRpGnJkglQpkTCLKQinwjVpcvnFRdVFHJubf/HotRyx3nHM2pefHFFyN+Xq/XiybESab7PQIRZiMQCATHytoo8tQEqUKEWQoEWYgI4ch8xD0SCASCnoi1USBILEKZEwiykFAIh8Wopc7qxmLUcuOsSmEFzCDEPRIIBIKepGJtzJSG3QJBKhBhlgJBliJCODIfcY8EAoGgJ8lcG0PVMi1GbZdqmcKYJhisCM+cQCAQCAQCgWBQcCxUyxQIOjOoPXODvSmlQCAQCAQCgeAox0K1TIGgM4NWmRNudoFAIOg7wggmEAiymWOlWqZAEGLQhlkKN7tAIBD0jZARzOrydTGCieIBAoEgWxDVMgXHGoNWmattd5Fr6Op4FG52gUAgiI4wggkEgmxHVBIWHGsM2jBL4WYXCASCvhFProkIwxQIBJmOqCQsOJYYtJ454WYXCASCvlGRb6TD7e/yWmcjmAjDFAgEAoEgsxi0ypxwswsEAkHfiGUEE2GYAoFAIBBkFoM2zBKEm10gECiI0MD4CBnBOl+rS6cNC18rUfJbIBCkC7GOCwSRGdTKnEAgEPS3TcmxunHozQgmcpEFAkE6EO2mBILoDNowS4FAIID+hQaK3LDIiFxkgWDws6POyrJV1dz98lcsW1WdEeueCPEWCKIjlDmBQDCo6U+bErFxiIzIRRYIBjeZasgS7aYEguiIMEuBQDCo6U9oYCbnhh2r4Z8CgSD5dDZkAeF/V25tSOs6I0K8BYLoCM+cQCAY1PQnNDBWif50kW6rebrPLxAIkkumesBEiLdAEB2hzAkEgkFNf0IDM3XjkO7wz3SfXyAQJJdMNWSJEG+BIDoizFIgEAx6+tqmJFaJ/nSR7vDP2nYXWjV8uteGze0jz6BldEkOte3+2B8WCAQZz/zJZTy5bh+grC0dbj9Wl49Lpw1L88hEuymBIBpCmRMIBIIIZOLGId15I3q1xPq9reQaNOTqNbh9ATbsbWPG6MKUnF8gECSXTDVkQf/zhUWesWCwI5Q5gUAgyADi2XCk22ouA1K316QjrwsEgsFBJhqyBtIvVPSnEwx2RM6cQCAQpJl4C4ukO2/EG5CZVlmAXqvG7gmg16qZVlmANyDUOYFAkDz6m68r8nwFxwLCMycQCARppi/lwNNpNQ+Fec4YXRR+rXvYp0AgiIwI9+s//c0XTneesUCQCoQyJxAIBGkmWzYc6Q7zFAiyFRHuNzD6my+c7jzjZJEMw4AwNmQvIsxSIBAc8+yos7JsVTV3v/wVy1ZVp7xvWqaWA+9OusM8BYJsRYT7DYz+tovJ1DYzAyEZ/T5FD9HsJm2eubq6On784x/T0tKCJEksXbqUa6+9Nl3DEQgExyiZYDHPJo9XJhZHEAgynWzxvmcq/a2ymcnVOftLX8Ly03lMQepImzKnVqu55557mDRpEna7nYsuuojTTjuNsWPHpnQcb26p5Zn1NTTY3JTlGbh2xggWnFCR0jEIBIL0kQlCbDBuOAQDQxg8BxeDNdwvlfTXkDTYDFDJMAwIY0N2kzZlrrS0lNLSUgDMZjOjR4+moaEhpcrcm1tq+e3bOzHpNZSaddhcPn779k4AodAJBMcImSLEBtuGQzAwMsXgKUgM2eR9Tye95W2JnC6FZBgGhLEhu8mIAiiHDh1ix44dnHjiiT3e+/e//01+fn7490mTJjFt2jR8Ph8vvPBCj78/6aSTOOmkk3A6nbz00ks93p86dSqTJ0/GarWy9o3/MC0oowlI4FTeP6gdxjPra5g+VM8bb7zR4/OzZs1i9OjR1NfXs3Llyh7vz507l+HDh3Pw4EHWrFnT4/358+czZMgQ9u7dy7p163q8f8EFF1BcXMzOnTtZv359j/cvvPBCLBYLW7duZePGjT3eX7p0KTk5OXz55Zd8+eWXPd6/8sor0Wq1fP7552zbtq3H+9dddx0An3zyCdXV1V3e02q1XHnllQCsXbuWffv2dXk/JyeHpUuXArB69WoOHTrU5f28vDyWLFkCwMqVK6mvr+/yflFREQsXLgTg9ddfp6Wlpcv7Q4YMYf78+QC88sor2Gy2Lu8PGzaMs88+G4CXXnoJp9PZ5f3Kykpmz54NwAsvvIDP5+vy/vjx45k5cyYATz/9NN1J5Nx79dVXe7w/Y8YMJkyYQHNzs5h7KZx7+W0uOhpMWCacCoBrz2d4HVbyVSqefnozIOZeKuaeoCvxGjyTKSMzda5k6zo1SdLSUTiN2nYXRdadjAva2PDOl2w48n62ykin10+rw4cjZwiloydx9nGFfLGm59yINffKx05kZa0Oi9qH5dDnWGtk/nezTHm+YmzbpxqGqXQ4ZTov1i0fhd/L0Slb2WNl7o0KHGLTN9uxqiXUKolAUMYvq5h/5RVA/2RkvtZIjWYCALq6LXjtrQQCMvp8A08//UnGzr0Qg33d+9a3vtXjtc6kvQCKw+Hgtttu495778VsNqf03N5AEE23K2DUqmiwuVM6DoFAkD4KTVq8/mA4Qd7rDxIIyBSaRLl9QWbQm8FTkD3kGbXccc54HrnkRKaNKgwrIdmM0+unrt2NPxjEYtRidfn4n4/24/T6Y3+4G18dtGIxask1aJCQ0KhUqNUSrQ4frQ4fJr0ai1GLJHV971ijLM9Aeb4BjUqF1x9Eo1IxvNA4IC9lqJiVxajF4fWjUam6KMqCzEaSZTlt3V59Ph8333wzp59+Ot/5zne6vHfo0CHmzp3LmjVrGDYsOWEIS59Yj62bW9nq8pFn1PLSTTOSck6BQJB5iNCe9JOKNT8bcTgcXH311dx8882ce+654dfF9RJkAstWVfcIzwv9fsc54/t0rLtf/opyiwGVJIVfC8oydVbFwB7tvUcuSZ6RQ6z/gkwg1nqfNpVblmV+9rOfMXr06B6KXKq4dsaIcI5crl5NhyeAw+PnB3PGpGU8AoEgPUTLV8uESpfREJuMwY/P5+O2225j4cKFXRQ5gSBTSGTOcay8rVTndGXy+i/oH4NVbqYtzPKLL75g+fLlfPrppyxevJjFixezdu3alI5hwQkV3HPeBPKMWhrtXvKMWu45b4IofiIQCIDM7Q0legINfjLB4CkQxCKRPTJ76wmXjn5xmbr+C/rHYJabafPMTZ06lZ07d6br9GEWnFARl/I2WLV5gUAQ/fnOlEqX3cmEdgqC5BIyeI4fP57FixcDcOedd4aLBAgEmUAiq3TGatGS6vYtmbr+C/rHYJabIrMxDoSrXSBIP8kyqPT2fGdquWaxyRj8ZIrBUyDojUT3yOytRUuq27dk6vov6B+DWW4KZS4OBrM2LxBkA8k0qPT2fGdCb6g3t9TyzPoaGmxuyvIMXDtjhNhkCASCjGGw9sjMhPVfkDgGs9xMe2uCbKC23UWuoaveO1i0eYEgG0hm7kJvz3fI6mwxaqmzusPlm1O1cXlzSy2/fXsnNpePUrMOm8vHb9/eSY5OSnn+iEAgEBxLpHv9FySWdORdpgrhmYuDwazNCwTZQDLDI2I937GszsnMp31mfQ0mvaaT11Cxv635ppkHFk1Maf6IQCAQHGsMVq/jsUiiQ4IzCaHMxYFwtQsE6SWZBpWBPN/JCP/srBzurO9gWL6+y/u5ejUNNnefNhmigJNAkH7EcygQpJfBqpyLMMs4EK52gSC9JDM8YiDPd6LDP7uXTjZoVNS0unF6j5b+7vAEKMsz9HKU3o85mMoxCwTZgngOj2121FlZtqqau1/+imWrqsV9FyQU4ZmLk3i0eWF1EwiSQ7LDI/prrUt0+Gf3Yiwnj8jnw93N1LW7qSzOocMTwOHx84M5Y8KfibXuiAJOAkH6Ec/hsUu2VkQXe9reyaTrE9Mz97vf/Q673Y7P5+Paa6/l1FNPZfny5akYW1YhrG4CQXKpKrdwxznjeeSSE7njnPEJXTT7azWNt2FuvMfvXoxl/JA8ThtTBBI02r3kGbXcc96EcG/MeNYdUcApuQgZKYgH8RxmDqn2kkWK4AgGg/xixfaUjeHNLbUsfWI9s//f+yx9Yj1vbqnt9e/FnrZ3Mu36xFTmPv74Y8xmMx988AEVFRWsWrWKp556KhVjyyqSWW1PIBAkls7C/N5XtvDIO9X9WpTjCf/svOhr1fDBzkZuem4T976ypcc5OiuHTR1u1u9tYU+Tk9ElZh6/6mReumlGWJGD+NadeBVOQf8QMlIQD+I5zAzSsQnvrsg32918U99Bq92bsDH0pqBGq4rcm0In9rS9k2nXJ6YyFwgEAPjggw+YP38+ubm5SR9UKkmUhUZY3QSC7KC7MN922Ma+Zge+QKDPi3I8+XahRd8XCLC5RllfCowath229RDgIeVwX5OdTQfasbl8qFVQnqePKOyjrTvbO61rTR1uDrY6B2U55kxgsMtIQWIYzGXRs4l0bMK7K/K7Gx1IkkShWZeUXOvuymHnqsgqlQqLUYtJr+GZ9TVRjyn2tL2TadcnZs7cmWeeyfz58zEYDPzyl7+ktbUVvV4f62NZQSLjmEX7AoEgO+ieu+ILyJj1anY3Oig2K/lvfVmUY+XbhfLqPttnQ69RYdCqkWUZuycQFuChz4eUw1+s2I4vGKTYrGdsqYlis7I+hYR9KE6/ptWJzx9gVLGZZrub3Y0ODrc7cXqDGDVqRhab6HD7CcoyPn+AOqt/UJVjzgQGs4wUJI7BXBY9m0hmm5todK+Y3Gz3oFWpGFtiSsgYYuVjNtjclJp1XT4TqoocDbGn7Z1Muz4xlbm7776b733ve+Tm5qJWqzEajfz1r39NxdiSTiITkkX7AoEgO+guzM0GDR6vH5vbF34tkYtyaNG3uX3k6pUl1+MPYjZoIgrwqnILIwpzmF5ZiEqSwq+HPG41rc6wAcrrC7Cpph2ry0ed1Y0kSTi9QXL1aqob7ZgNGkpyDYwsMmExarnjnPEJ+U6CowxmGSlILKksi55JxRkyiXRswrsr8kVmPUNy9ZTkHpVDAxlDLAW1LM+AzeUL9ymF2FWRxZ62dzLt+kRV5t59991eP3juuecmfDBJ4fBhyM+HnJwebyXSQiOsbgJBdtBdmI8tMbFhbytmg4agLCd8UQ4t+jq1CrcvgCRJePxBJg3NiyrAo204rC4/Ro2a7XU27G4/ZoOG0cU5VDfaydFqKDRrcfv8lOYa8PiD7G5yUJJrEOExSWDQyEjBoCNbqyemgkRuwvuiMHdW5DuHRSZCEYiloF47YwS/fXsnoHjkIlVFjjResaeNTqZdn6jK3Pvvv9/rB7NGUL39NvzrX3DppcpPXl74rURbaAZrM0KBIBuIV7B2F+Y6jZoRRTkMtRios7qT0vbgxlmVPL/+AB/ubqEgR8tJwy3oNOouArzz+PVqicNWNyOLTF2EvSTLVDfY0WtVmPVqPL4ANmcQWYbzjh+CSpL4dG8Lbl8AvUaF/UiehgiPSTyDRkYK0koyPGiiDUJ0ErUJH4jCnGhFIJKCeqDFwVCLgbtf/oqKfCNXnTqcNd8002BzU5Zn4AdzxnQpphVtnMf6fMkWoipzDz/8cCrHkTy++104+2z45z/h29+Giy+GK66A/PyEu0lFWIPgWCKT5ntfBGskQfrj+ROSOvaqcgsPLTmhyzWzGLVhAd59/B1uPypJwusP8E29E6vLT55Bw8F2F3q1CkuOsjkzaNV4/EEkSVHYLEYtY0tNfHGgHY8/SJ5BEy60kNTwj8OHYejQ5B0/Axk0MlKQdKKtlcnyoKUjLyybSISSMlCFOZGKUneZplNLqCQJrUZNoVmRATWtPh5YNFHsSRNEpnm/42oa/sEHH7Br1y48Hk/4tVtvvTVpg0o4I0fCL3+pbDiefhqWLIFFi6i66qqEWUcy7cYKBMkk0+Z7XwVruiyO0c4bcfyFOfj8Acx6LRX5OeQaNOys71CS59Uq8nO0ePxBZFlmRIESZQBQaNIzoczMzgY7eUeOmbTwD1mGF16A//1fWL4ctNrYnxmEZL2MFCSN3tbKZHnQMq04w2Ak0xTmzrJl2apqdBq18MwmkUzzfsdU5n7+85/jdrvZsGEDl1xyCe+88w7HH398KsaWeIYOhXvvhe99D559FpYupWr+fKquvRbKBlYYINNurECQTDJtvmeaYO0r0ca/Zkcrp1QWhq9veb4RjVrC7vWjVkvkGbSMKsphVLGZ+ZPLwoapUcVmbj5zTHLvRTAIv/89fP65EvlwjCpyg0pGChJOb2tlstatTCvOMBhJt8LcW2RMtsvDbKC23YVWDZ/utWFz+8gzaBldkkNtuz/2h5NATGVu8+bNvP766yxcuJBbb72V73znO9xwww2pGFvyKC2Fu++G73xHsSpffjnMmaP8XtF7DHE0xMMjOJbItPmeCsEaT1hpf0NPo41fRu7Sy2ZsiQmb04dKkji7qiy8SQudJ2WKtNsN990Hdjs89RQcw73VBqWMFCSM3tbKZK1bmVacId0kIyUgnQpzrMiYZM2rTEqtSDd6tcT6va3kGjTk6jW4fQE27G1jxujCtIwnZtNwg0FZhIxGIw0NDWi1WpqampI+sJRQVAS33QavvKL8/5pr4Be/gP37+3yo7k0hQYQ1CAYvmTbfk92QN1ZT1nj/pq/jnzI8P3ydm+1u9jQ5sHt8uHwBvqm3RWxSnnTa2uCWW8BohD/96ZhW5GCQy0hBr+yos7JsVTV3v/wVy1ZVR3zWO6+VzXY3n+5t4a2v66hpdTK+zJS0dauq3MId54znkUtO5I5zxh+zm+6BrMu9EVKYLUYtdVZ3StfiWI3PkyEPk3UdsxUZkLq9Jh15PR3E1TTcZrPx3e9+lyVLliBJEhdffHEqxpY68vOVzclVV8FLL8ENN8DUqXD99TBuXFyHyISwBmE1EaSKTJjvnUm2JTqesNKBhJ5GGz/Ak+v20ebw8E19B5IkYdZrGV9mRq1Wpf4ZP3hQMYCdfTb813+B1F2cHXscEzJS0IN484ZDa2XnZ1irUjEkV8/qHU2cXVVCdYNDeNCSRDJTAtKVex0rMqa/8rC3PWSmpVakG29AZlplAXubneE2QVXluXgD6VHnYipz3//+9wGYN28eZ511Fh6Ph9zBaonNzVWqX15+Ofz733DrrTB5svLaxIm9fjTdYQ2ZVpBCMLhJ93yPNqZknT+esNKBhp5GG/+Nsyr5xYrtBIJQaNYytsRESa7yjKdUkH79tRKeftNNShEpAXCMyUhBmHg3t6G1MtozXN3g4I5zBpazL4hOpqUEJIJ4wii7y5OQFzmasX9HnZXfrdxJq8OL1x9kV0MHWw61hys9D8brOBBC92DG6KLwa93vSSqJqcy99tprEV//9re/neChZBA5OUrI5aWXwmuvKRuYsWMVpe7EE6N+LJ09OYTVRJBqjqUeNPEIz2Tmv4wozGF6ZSGqTp6wlArStWvhV79SwtDPOCM158wSjkkZOYiJN8KlL5vbdDzDIlJHId2FSpJBXyNj4jH2P7f+ADUtTswGDbkGDR5/kJoWJ8+tP8BvlpyQ1OuYjXM106KTYubMff311+GfjRs38qc//Yn33nsvFWNLP3r9UYXuzDPh/vvhxhth/XqlJHcGUdvu6lIoAY5tq4lAkEjiyUFIZt5eWnMUX3oJHn4Y/vhHochF4JiWkYOMvuQF9fWZTOUzLPKbjpLsfOp00Nd8vVg5dgCbD7Zj1qsxaNVIkoRBq8asV7P5YDsQ+ToebHXS1OHuNWc0Ftk6V9OZMxmJmJ65+++/v8vvNpuNO+64I2kDykh0OiWsaPFieOcdWLZMKcP9ne8oVTBVMXXipDMYrU8CQaYQT1hpokJPI1kp02IFDAaVAidr1yoVK/tZ6XewI2Tk4KEvES59fSZT+Qxnc6ROorw0nY9j1Krw+QPUWf1pSwlItPepL5Ex8XiRJaQexTvkI6+HztdZvunVEkFZRqdRU3SkMXl/Unuyea5mUnRSXE3DO2M0Gjl06FAyxpL5qNVw/vkwfz589BH8z//AX/8K110H552X1j5LmebyFQgGG/Es3ANd3HsLh0lpjqLXC7/8JTQ0KD3kLJkhsLKBY1pGZjl9DZ3syzOZyjzjbM1vSlTuf/fjhPZD6fKcpLumQTzG/inDLazf24okSeg1Kjz+IHZPoEup/e6NybVxNCaPpcRm61zNNGIqczfffHP4/7Iss3v3bs4777ykDirjUalg1iwl5OiLL5TNzuOPw9VXw7e/rZTsTjGZWJBCIBD0jd6slH0pLz4gK7DNpuQJFxTA3/6mRCYIoiJk5OChrxEufTXepMqSn62ROony0mSatyfd44lk7D/Y6sSbp+ful7+iIt/IzLFF1Ns8NNs92Nw+9Bo1lcUmrpoxMuIx41HC4lFis3WuZhoxlbnrr78+/H+1Wk1FRQVDhgxJ6qCyBklSWhhMnQrbt8PTTyuK3dKlyk9eXkqHMxBBkY0JqAJBthBvw/F3t9eDDLnGoxXv+mqlHJAV+PBhpfXAzJnwwx9mRAh5piNk5OAhEyNc+iObM/F7xEOivDSZ5u1J93jiCZFcvaOJJScP7dImo7e5Fo8SFo8Sm61zNdOIqcydcsopqRhH9jNxIvzud7BvHzzzjOKh+/a34YoroLg43aPrlXSHAAgEg5l4nq/Q3+jUKmRZxuMLsKmmnZNH5KPTqPtkpey3Ffibb+COO5RKvpdf3v8vfIyRLBn505/+lA8++ICioiLeeOONpJwjW0iVsTHTIlz6K5sz7XvES6K8NJnm7UnFeGI9I/GESPalTUY8Slg8Smy2ztVMI6oyN2XKFKReGsJu2rQpKQPKeiorlVyTujp4/nnFQ3fOOcoGKUMLCKQ7BEAgyGQGupGMt+F4MBgkGJQ50OrEqFWTZ9Sw7bCN0SXmPlkp+2UF/uQT+PnP4d57laJOgpgkW0YuWbKEq666ip/85CcDOs5ASXfURqqNjZlU1GAgsjmTvke8JMpLk2nenmSMp/NzqVdLHLa6GVlkiusZSYSnMB4lLF4lNhvnaqYRVZnbvHkzAH/4wx8oKSlh8eLFAKxYsYKmpqbUjC6bKS+HH/1I6U334ouKMjdjhlIsZezYdI+uC+kOARAIMpVEbCTjeb6211mpaXFi0KoZUWikqcNLvdVNSa6+z5vWSAK0psVBnc0Tzo/osiF/9VUlN+7RR+GEE+I+z7FOsmXktGnT0l5IJROiNo5lY+OxJpsT5aXJNG9PosfT/blcV92E3e2n3GJAJWljPiOJ8hTGUsIyTakezMQMs3zvvfdYsWJF+PcrrriCRYsWcfvttyd1YIOGwkL4r/9SlLn//Ae+/32YNElR6jJk41SRb2R/s516m5L4mmfQMiRPz6hic7qHJshg0m2xTwWJ2EjGIzitLj8eXwC7x4/HH0SvUVFk0lGca+jzNe0uQGtaHGyqaWfK8PyuG/IzRlG1/F9Ku5V//ANGjOjTeQQKg1lGJluRimcNOdYUms5kWrhgZ5K1/ifKSxPvcVIZwpuo43Z/Lr2BIGa9mt1NDkpylWelt2ckVUpWpinVg5mY2e05OTmsWLGCQCBAMBhkxYoV5OTkJOTkP/3pT5kxYwYXXHBBQo6X0ZjNcO21sGKF4qG77z646Sb49NO0NyAfX2ZiU007VpcPs06N1eVjU00748tM/Trejjory1ZVD6iRpCCzydZGn32ltt1FrqGrzauvG8l4mtZKskyrw4fHF0SrkvD4gjTZPRxqdfT5OerezLTO5mHK8HwqS8zhhrEFWrD+5D5l/fmf/xGK3ABIpoxMN4mY/9HkQbxrSCqbbWcamdrwerCs/+n8HgPZJ9W2u/D4/Xy6t4V3t9djdflwegPYOz0nsaqwpqrhdVW5hTvOGc8jl5zYp4rMgr4RU5l75JFHePvtt5k5cyYzZ85k5cqVPPLIIwk5+ZIlS/jHP/6RkGNlDXo9XHIJvPKK0oT80UcVr92aNUqT3jRQ3eBgyvB88oxaHN4geUYtU4bnU93g6POxBssiL+idzpbBkIJgMWpZubUh3UNLKInYSMYjOGVJosisQ6dV4QvKKKlYEoEg/XqOOgvQEYU5jCw+apjRuhws+ufv8LRZlZYqhYW9HEkQi2TKyHQz0PnfmzyIdw3JVIUmFaRy090Xert32WTMTZccG+g+Sa+WWLezmf3NDpo6PHh8AQ61OfEHgnE/I0LJGlzEDLMcNmwYf/vb35Jy8kzICUgbGs3RBuQffqi0Nfjzn5VedQsWKEpfiqhtdzGy2ERlydGwyqAs9yuM5VjObziWOFZCnxIVjhIKsQltYp/6aH+XkB6LUYPVqSLPqEWvUXGgxYlGJWHSq8ObDCC8yegctjK+zNSjnHTnv6lpdeL1BagsMWNsa+Gsv/6ampET2HrFjcxOQ0/MwUYyZWQq6C3MbKDzvzd5EG+fqpVbG+hw+6htd2ExaphYbjmmQrUysThEtHu3vc5KTaszrhzLVIbpRztXuuTYQPdJrQ4vVrcPg0aNVi3hC4AkSfiDQeqsbhHOeAwSVZn7+9//zg033MCvfvWriBW77rvvvqQO7JhBpYLZs5Um5F99pbQ1ePxxuOwyuPjilPSqS2Rc/rGyyT/WSXQuR6bm3yUy5r+3YhITyy34/EGqG+04PH68/iCluUrOXIhcg4Zth7tulvY323ll0yGmDM9nZLEJq8vHI+9UE5TlcGUzn19pc1Bcf5DF/7eMr2acy7pTz+PGE8oTeamOOZItI++8804+++wz2tramDVrFj/4wQ+45JJLBnTM7sQqcDLQ+d+bPIi1hnQeW1V5XliRzJS1IVVk4toY7d5ZXX4q8nNiKim9zbvQ3yfq+/Z2rlTmJHa+j9sOWzlxmKXLefuyT9rf6qTcYsDhDeD1B9FpVRSYjGjUKh655MSEj12Q+URV5saMGQPA5MmTUzaYYxpJgpNOUn727oXnnlP61C1YAFdeCUlsQpvIZNiKfCP7muzUd3iwu/2YDRqG5Oq7eP0E2U8i50wmVMyLNq7Om4rvnj5qQOPpzRo7vszEK5sOkWfQUmExsK/ZSYvDx6ShWprtbnY3Omi2e3D5AowvNXO43YXNrYTS6DUq6js8VJaYsRi1bLZ7ADhhWD4Ao4rNjNizjXOe/hOrl3wHx5lzuTEDNoTZTrJl5KOPPpqU43YmHg/BQDxDvRXXirWGiCiPzF0bo927PIMmrhzLaPf2ufUHcPmCCf2+vc2jVBUC2VFn5ZF3qmm2e/D4A7Q6vHy0q4VZ44vDBUv6okRKSBi1agpNRyO4XF4//vRk6ggygKjK3JwjvYYuvPDC8GvBYBCn04nZLDbmSWX0aPjFL6CxEf71L6Xx+OmnKyGY48Yl/HSJ9D6ENqUmvYZcvRqby0ddu4t5x0B+w7FEIudMJm7aEr2J2lFn5d3t9SBDrlHL2BITJbmGLhudKcPzw0aQIRYD7Q4vuxsdSJIDSZLQqlQ4gn6+ONBGucVIfo6Weqsbt9dPZ7+Qxx9A6vTKyM/X8a1X/smr1/6QH95zxUAvjeAIg0FGJjuSors8sLp8HG53ce6ksphriIjyyMy1EaKv/yu3NsTl6Yp2b1fvaGF6ZVFCv29v8yhV1RafX3+Afc0Ocg0a8gxagkE43O7iiwNtnDtpSJ+VyCnDLaytbsJn8+APBtGoVGjVErPHl4T/JhM9uoLkETNn7q677uKBBx5ApVJx8cUXY7fbueaaa/je976XivENOvr0gJWWwu23K73q/vMf+MEPYPx4pWDKt74FvTSs7SuJisuvbnBw8oj8sCXWYtQyocxMdYODBQkYpyBzSNScycRNWyI3USHFUKdWIcsyHp8S9njyiHx0GjUV+caIeasNNherdzSSb9RRaFYUwLXVTahVKuxePwUmHUadGqcngKeTSVavUSv/kWWqVi9n/Nq3eO2m+5BHjxngVRFEIptlZLIjKULFtULHzzNqGV96VB70toZkcln+VJGJa2OIaPcuHk9XtHsrIbGr3spXtbZwi5YTK/IoL+hfZe3ezhWaR6nISdx80IpZr8agVdbmApMOWZZpcXj7leM2c2wRq79pJBCUQUb5V1Jeh8z16AqSR8xqlrt378ZsNrN69WpmzZrFmjVrWL58eUJOfuedd3LZZZexb98+Zs2axcsvv5yQ46aLWFWc+l3BqHNbg7lz4eGHld9Xr05bBcxo1La7GFFk4tTRRZw7cQinji5iRJEpI4SPIDNJR+nxWM9qIkqyh1i5tYFgMEggKLO/xUm91U0wGGTbYVs4ByjSNTBoNZTmGjjv+CHMGF1ESa4BrVpCrQKXN4Asy5h1GoJBGQnCVcyKzXqKjBom/++TjPpsLf/5/oPszy8/Jqr/pYNkyshkM77MxOaD7dhcPkw6FTaXj80H+9+WpjshI8WM0UWcM7GMGaOLGFkcnzw4lqtYhqjIN3Kg2cH6vS2s2t7A+r0tHGh2ZKxCG2/1zWj3VqeGT/e14QsE0aklfIEgn+5ro77d2e8xZcI8kpHpbnrP0akpydX3q5pkdYOD6aMKGV1qpsxiZHSpmemjCsMVyI+VatNZg9MJbndSTxHTM+f3+/H5fKxevZqrrroKrVYbMdm7P6QiJyBVxGMJiWTtb7V7+MWK7YwozIntqdPplHYGCxcqFTCfeUapgHnVVcprKayAGQ1hTT126W9YR6ryFjqPM9az2ts87uv33F5npabFiUGrZnihkeYOxRpbkqvvcs5I12DKcAsdbn94HGV5RpBdeIMydk+AfJOOcosel18OW3gvO3MkJb/9FYdamnn2u/dRMqRI5MglkWTKyGST7EiKgcgD0XA4O9MW4vF0Rbu31zz1GSoJNCoJSZLQqCAYlNnZYB/QeNI9j6YMz2fD3laQJPQaFR5/ELsnwPTR/WsLE6sCeSZ7dAc1Tifs3w979ii1L0L/trfDzTcre/UkEVOZu/TSS5kzZw7HHXcc06ZNo7a2NmvyAVJJPGFZ3R+wpg431Q12fMEg0ysL43eFhypgzp59tALmk0/C0qVKDztL5iVGJ2tjDiI2PNVEut5Av8M6Ui1s43lWo83jaaPy+/w9rS4/kiQdCbFRY9ZrlWIBR867bFU1te0ucrQqvP4AdVZ/+BpAVyVvSJ6ew+0upo4oYGSxKTyu8Pnb2+HOO6GigqI/PcqJWm3EMQkSR7bKyO55nFOG51OSayAoy2w/4rnuy5oaaV0YqDzIxLL8qWQwpy1EurdOX4A8gwZvQMYflNGoJPIMGpy+QMLPlUqunjGSOqubVoeXDrcfnUbFiKIcrp4xsl/Hi2UkySSj+qDcn7ndsG9fV4Vt715oaYGRI2HMGKX2xcUXK/8OHars25OIJMuy3NcP+f1+NJqYeuCAOHToEHPnzmXNmjUMG5Y8RSBR3P3yV5RbDKg6WWSDsmItD5WKXbaqussDtn5vC7Yjv586Wol1Dr1/xznj+zaAffuUCpgffKD0r7viCmUCpYFU948Jba47bxZEbHhyiHa9jVoVOo26i/Do91xOMvE8qxB5HkdK8I/1Pb/3zOccanWh16rCVlmPL4jFqGFoQU7Mudt9HJH6ylWVW6C2VsmrnTMH/uu/ki48Ek22rfm9kekyMvQc722yI8sykiTh8Qc5eUQ+Do+fnfV2Th1TFPea2ts6DIktNX8sEe9aNViY+ds1OD0BTHp1+DWHJ0COXs0n98zt994iExSKvo6ht7+Pte+J9P7BVidleXq8ATnq+RN9nbJ+f+bxdPW0hZS3piZFaRs9+qjiNno0DBuWNLkba72PKW2am5t59NFHaWxs5B//+Ae7d+9m8+bNCe93k+3EYwnpbqVstXtRq2Bs6dH8hH67wisr4ec/V1y5L76ouHNnzlSKpYxP7WY6lVawTK32NViJdr037Gvh7KquoT+ZGtYRr9Uy0jx+6qP9fQ5fmTTUQo5W3aXIxMjCHOo7PHHN3Ujj6GGV374d7roLrr9e8c4LUkY2ysjQczy5Io8vDrSj10jo1RLbDiuFJ8aXmfu0pva2Dvc1H0hwlEzysKSCa2eM4LE1u8EDRq2EyyfjDQS4ZUZlv4t6DLQYSCylKl7lp/s6vqMX7/dA+z92f1+vlgjKMjqNmiKzJuI1SEbRlKzZn3m9itLWWWHbuxcaGhQFLaSwXXCB8u/w4aBWxzxsKompzN1zzz0sWbKExx9/HIBRo0Zxxx13ZLSgSgfxhJN0f8AKzTrK8/QUm49uDge8UJeWwm23KZu6V15RqmGOGaModdOmJbQCZiYgYsNTS7TrLSF1ye2CzN10DCT0qz+bK+V8TiaW53U5n8UYX0+mmHzyiWLIuf9+JfRakFKyUUaGnmOVpOVbI/PZ3ejA6vKiklQMKzAysrhrAZRY87K3dThRm+FjkXSkLaSTm2YrrZeeWV8TXmdvmVHJTbPHsWxVdb8Ug4EoFLGam/dF+ek813VqiQabh+GFORE/m4j+j53fX7aqGm2nyJlIx0uG4pVx+7NAAGpqYNeurnlt9fVQUXHU03beecr/R4yAJEdYJIqYo2xra+P888/nySefVD6g0aDKsvCdVBBv3k/nB6xzdctELNQ9BOM5i6m67DJYuRJ+9zswGhWlbs6cjLMq9JdjzXKZbqJd7ynDLVhdPiDzNx19zdGLJIQpzIn7e3Y+37bDVmxuPxajBqvLz4FmR5ck9j7P3eXL4a9/hUcfhRNOiP9zgoSRjTIyUjPvCWW5jCpW5mJf2xVEWxf0aikhm+FjVenLhOIdqeam2ePCSl1n+qsYRPqcx+9n1fbWmPOpNwUn9Hs8yk93pXBddRMdbj9DLHpUkrbHZxOtBMVzvNp2F1o1fLrXFl4TRpfkUNt+tMpyX5/DtO7P2toUpW33buXfXbuUdKSSEhg7VlHazjlHiWYbMQKyPL88pjKXk5NDW1tbuDrXl19+SW5ubtIHlo30NbwwkQt1ry7yRYsU9/BHH/WsgGkwxD54BnOsWS5TRbRFu/P19vj9bD/cQZvTx+ljizi7qqRLLldf5nKqN2vxPqvdn6sOt5+gLOPrVqgknmOFCh4V5GgpLskhR6tmU007ACaDmi/2t1Pf4aYoR0dzh5urZoyMflxZhr//Hd58U/l3xIi+fH1BAslGGdm5SqJaktnTaOfrWiuzxwU5aYSFzQfb+1RBMdo6bNSqBrwZPtZ7ZqW7eEeqeXNLLc+sr6HB5qYsz8C1M0aw4ISKmIpBNBnS/XPNdjcb9raRa9DEnE+xlKBYClJoTKu2N6BVS0wamodK0uILyJj1anY3OsKRWZ0/m2glKJ7j6dUS6/e2kmvQkKvX4PYF2LC3jRlHKm725zlMyf4sFCLZWWnbtUvJdxs3Tvk5/nhYskRR4HJyEnfuDCKuMMtbbrmFmpoaLrvsMtra2njsscdSMbZjgkQt1DFd5CoVzJql/Hz1FTz7rLIJvOQSWLqUHc7sTFI/Fi2XySbWon3jrEqeX3+Aj3e3UpCjZeaYQnQaNat3NPVrg5XJm7VIz9XIIlOfCrt0LjZRYFSW3M01Vr41Mp+TR+Szt8lBk92DwxNAo4I2p5c3v65nV6OdBxZP6nkN/H74zW8U4fXPf0Jh/8pbCxJDNsrIUDPvfS0OalpdGDRqKix6Dlvd7NvkZEyJCZcvGHcFxWjr8FMf7afIHD2UOB7vQ9bk3cTBYPUwJup7vbmllt++vROTXkOpWYfN5eO3b+8EelcMepMh3T+3tdaGBEcUK6nX+RRLCYqlXIbGFJSDuLwy72xrINegxheQMenU+IJyxM8mWgmK53gy9OiFJx15PXR9+vocxrs/i2v+yLJSeKS70nbwoBIiOW6c4nG79FLl/2Vlgy6tqDdiKnOTJk3i+eefZ9++fciyTGVlJVu2bEnF2AR9oE9u+RNPhN//XnE5P/88jgUL2TXqWwTnLqK8YmhGbabjeciPNctlsom1aFeVWyjONTDnuNIugqzz3yTyfOkkEeEuoe8XssaGPDi7Gx2cUlnIrkYHFqMWty+ITqNCrVIqC1Y32Hl+/QGumjEy/AyMNMCVr/2VQrMBHn980FoZs4lslJGhPlUNHR5GFZkwaNXIstK70B+UcXoDzBhTHP77zj2sohFpHR7IZrjzWDMq76af7Kiz8ruVO2l1ePH6g+xq6GDLoXZ+PH9CrzmEkNmG1kQa455ZX4NJr+kkC1Th11+6aUZUxaC3fLo7zhnf5XPeQJBplQWU5B6dU9HmUywlqLf3Oss1rUrFQasLjUrC65cx6dUctrqpsBgJynKPz0ZSgqaNymfl1gae+mh/n+dBPEqVNyAzrbKAvc3OcHh1VXku3oCizvX3OYy1P4s0f/5n9TfcPALGtNd3VdzU6qNK2/TpSoTZ6NFKD+ZjnKjKXCAQ4O2336ahoYFZs2Yxbtw43n//fX7+85/jdrt57bXXUjhMQSz65ZavrIT77+e5485h5LvLueSxn1JfdRLbz17M/pIRad9MZ7LHJluJRzmON74+URusTN6s9fW5inR9Q7kIVpeXOmuAHJ2aghwtNneQDrcfGZkWhxedWkKjVhQ9vUaF0+vnkz0tOH1BLEYtlZKLM37/az4tG0nlA7+gSihyaSWbZWRoXtvcPnL1yjbA4w9iNmhAljlsdfHp3pZw7syQPH04n64vDGQzDIqn5pM9zXS4/OQZNZw4zMK4sry4wusyjefWH6CmxYnZoBQ+8viD1LQ4eW79AX6z5ISI8u6Rd6oJyjIji0wZKwP7YoyLda8abG5KzV035rl6NQ02NxBdMYglQ7oXAwnld4eItqbHUoJ6e6/zmEJeL5UE3kCQEp2efIMWrUZFndUdUbmKVF+h89z4xfJtOL0BOjz+LuGo0YilVIXWhBlH2mRBV2NLf0M/e73nssy6D7dxwt5dVDQdoqB2P/m1B9C3NOEsHwZnnKwob2ecofwrolCiElWZ+9nPfkZdXR0nnHACv/rVrygtLWXbtm3cddddnH322akcoyAOBuKW340RxyXXsWfhUsZ8vJrZT/yWKSXlfHjqfDh7XNpc1ZnssclG4lWO41m0ExnTn44k6Xg3gPE8V6FjbTts5VCbiwllZkYUmbC6fPxu5U4Otjqpt3nQqSUCQRmPL8jBVhdD8pR7MGV4Pq9vOUwgKCN7QK2S0KlV6DQqOjxKhdBhtkbO+suv2DtjLp/NXszOHc1UDROCLZ1ks4wMzWudWoXbFwj3mZs0NI/aNic2lx+z3keuXo3V5eNwu4tzJ0XPmYvGQDbDoZA7vVqFWy3h8AT4aFczTo+fArMhZnhdMmTEQBTHzQfbMevVGLRK8TGDVg2yzOaD7UBkebfZ7gHghGH54ddCfxtPJcZUKLnxGuPiuVdleYYjvXePFhDq8AQoy1OO/+DrX/PSxlrcviAGrYqlUyv4+cLj+yRD+rpX6k0J6u29zmMKyDJDCww0dXhABr1Wzenji/EHiatfYPe50Whzsb3OhkGjprI4p0s4am8KXW/Eui792WN2vudDzRrUe3bz4Zp3KDR2UFZ/EHbu5MxWN45RY7BWjOLgSafy9YLLaC8ZwmG7f1D2UkwWUZW5rVu3smLFClQqFR6Ph9NOO41Vq1ZRUFCQyvEJ4mQguWOhRUdlNPHN2YvZedYCSj5Zy9nv/we+fktxZc+fn3JXdiZ7bLKReJXjeBbtRMb0D/RY8TTVDn3PeMpCdybWc9VZWNmOWHt3NtgxGzTIMtS0OGlzetFIoJIkJEkmGAwSlEGrUXHjrEr2Ntl5bXMtvoCMVi3hDwTx+AIUmnTkGTQU7vyaaf98lOdOW8L2CbMZ7Q9gF89A2slmGdk59/XD3S0U5Gg5abgFnUZNg83LycMtOP0ydrcfrVrCoFXx5/f3UN3g6LNS0N/NcOeQO5NeQ6vTi90tU93k4Knzq2KG1yVacRmo4ighhfOPQshHXodoVRcD4fdDxCMDU6nkxqtIdZc/Xn+AvU127nppC+dMLGP+5DKunTEirJTk6tV0eAI4PH5+MGcMD77+Nc98UoNaJaFXg9cf5JlPagC4ZOqIuGVIqvLsu8g1vQab20+hSc/JI/IpyTX0uGa90b3S5MFWJ2pJAglUKlWXcNT+KnOxrkufrpvdDtXV7P33Whbt38OQ+gNYGmpxFJZSP2Q4X44ay7wjPZDf2tTS41rYXD5RkbyPRFXmtFptuLyyXq9n+PDhWSGkjmX6mzvWYzPtlTkwaQYn33w5HNwJzz2nlD+/7DKlIlBeXqKHHhHRdiCxxKscx7NoJzKxeSDCtfumZX+znVc2HWLK8HxGFpsihirFKgvdnd6eq84bFLsnQN6R8KndjQ5kwKxX0+yQGVZopM3pI+CVMejUnDtOscpWlSs9hU4ZVcCmg1a8/iCSpCJHJ2HUqllSv4VTVzzPc4tuoGbsZDy+AJ/va2P6aOGVSzfZLiOryi08dCS8L/TsWYxahhcZOW6IUhyi2e7miwPtGLVK0Yb+KAVPrN3VpW/YtTNGRCw9353OIXcmvQaTXkMwGKTR7o0YyhZioAa/aGvWQCNFpgy3sH5vK5Ikodeo8PiD2D2BcLXASPJOr+nZQigeGZjKqJZ4jXGd71VTh1sJIff6cfsCfLCzka21Vu6eN557zpvQpZrlD+aMYcEJFfzkP18ripzmyDOnUkKDX9pYy88XHt8nGZKKPPuqcgtnV5XwzPoaDra58PqDHD80lyKzHqvL1yeDZfdKk15/EACd5qgHs3M46kDG3Nt16fG+LENdHVRXw86dyr/V1dDeruS1eXKxjZ3AwbPOo33oCAI6PUFZps7qZt4Mxes2f7JGVCRPAFGVub1797Jw4cLw7zU1NV1+f/3115M7MkHK6HUzPXS6kmi6a5ei1H3727BgAVx+OQwdmtRxzZ9c1iVhXKdRUWjS8eP5E5J63sFKX5TjeIRdfxKbe/OA9Ue4dt+01Ns8mPQa6js8VJaYI4YqxSoLHel7RFNIO29QzAYNHl8AvUaFze1DQkKjUjaiGpWK4QU54SITBu3RJP/adhfHDy+gojCH3Y0OJY9Jp2bu+jeZsmkt9837L9oKhlPi9aNWqfD4A2w5ZOXul7/K6Byhwc5gkZHdn71QTpHFqGV3oyO8ec41avqsFDyxdhePrdmNTq1GLcnUW9389u1qnl9fwz3nH9erF6Esz0BThxuvP4jHH0SvUUKPQyF3kHiDX29r1kAVx6tmjKTe5qHZrvT202vUVBabuGrGSCCyUlRsVja/fe1Fm8qolu77B6fHx4FWFzc/vylqa4Eth6y0O32oVRJmvXLv9jU7eH79AR5ackLEeeH2BdF30221KuX10DgyaR3cUWdl9Y4mJpbnMb2ykAPNDqob7GjrbUwst/TJG9i90qRWLYUVuhCdw1GTgterNNmurlb2gzt3Kv8aDDB+vPIzbx7cdhsMGwYqFdWd1pLwOLs9n6nylA52oipzb731VirHIUgzMRfCcePgwQehsRFefFEJvTz1VLj6aqiqStq4VEfy9eQjASqqDCg1m4xchFTkN6S6J18qrMPdNy1KQQc1dvfRRqfdQ5XMBg01LR00231sqmlDr1ExoczM6eNKexy/8+ZOq4YPdjby6uZaTh9bxNUzRnbZoIwtMbGpph2PPxj20HW4/Zw0zMLeZqdyQFkJpex83UPHKDYbKDYbUPl9jH/qT+j27+W3S3+CymIBu4+aVheluXrUKgm3L5ixBRGOFQarjOy8TlhdXvRqFZ6AzKShSkRGX5SCZ9bXoFOrARm7J4gKCAJ1VnfMHJ+5xxWHFUGjVsmZa3N6uSxJ4d7Q+5o1UMWxqtzC3fPGR13nI25q540Pn78vG92BjrWv8ii0f4i3tUC9zY3qyJJcZNaFq6luPmiNem6DVoXXH0R/1BmFLwgGrapfY0423edSZYmZQrO+T21tQnSvNFluMVBndePxBwkGg13CUaPRp+vT0nJUaQt52w4dUpS0kOJ2+ukxi5LE+3xmmiKejURV5ioq+hd3KxjklJYqlpfvfhdefRXuuktpWHz11TBjhtLPLkGs3NrA8MIcJlccfcitLl9aC6D0xdsU7+KZqvyGVFvAUmEd7r5pyTNosbp85PUSquT1+am3+VABRq2Se/HlQSsnDu95HY62FQiwucaKXqOiwKhh22EbT67bx9lVJaze0QRAkVnP+FIz1Q12LDlaSsx6djfaqW134/b5aXUEUKkk5kwo5epODcE7C7zCoJsZT/yOgy6Z1bf+Eo1HQusLMKpYh9sXoMnuQa9W4fT5WbOjEbNBw5BcvSgKlAYGm4zs3Kw5T69hWIERlaQCSeLkEZZwKfe+KAVWl488vZpmux8VoFJJSLJMQFY81r3l+Di9MtNGFrCryYHDE8CkV3NiSR5O79HMs0Svab2tWd89fdSAFcc+h7Gh3Jf1e1tosLmpyTMwvswU8/sNRMkdiDyKt7WAL6B4WsvyDOTolG2oBLh8/qjnXjq1gqc/qcHvCSBJSoQfElw1tSJtla/jjdoI0V/5F6nS5Fc1rVQ3OWi0e7uEo0YbZ8TrM3M4VZ62rorbrl1KL9OQ0jZ9urK/q6zsc90E4XVLHTH7zAkEETGZFO/cZZfBu+/CX/4Cjz2W0GIpmVgAJV5vU1+ESyrzG1JpAUtFzmP3TcuQPD2H212MLzWH+/d0D1WqbrSjlpTy/0FAr1GKjry0sRabO9hFKIfm4Gf7bOg1qi79uCxGLdUNji7CqrLEzC1njaGq3BLuK+XxezFqNViMOgpNui6KHBwVeB+u/Zrpjz2I9fgpvD1jCccNzUdv97Cpph0AnVqizeFFq1JRZtFj1qvx+AJUN9hx+gIJu6aCY4/uHpUOT4Cth21cdepwvql3oNOoI/bDioXFqMXpCRCU5XBR5KAMGpUUM8entt3FCcMLOGnEUct/pH538a5p8RjXeluz0rEx7c3TFasMfX/HOhB5FG9rgaYONxv2tqKSJGRZDucP5ug0Uc99ydQRrN3ZxIFWF4EgqFUwstDIJVNHpKXydSwZn0j5F0k5LzAbwoWAYrFyawNlARcjDuymoHY/BbX7MdXsw/JgHRxXqSht48Yp6TPjx0NJScKqmAuvW2oQypxgYGg0cP75cN558PnnR4ulXHopXHTRgIqlVOQb2d9sp97mGXC/o0QRr4LZF+GSiUprIkhFWGf3TcuoYjPnTirrUs2ye6iSLyCTb9RgOGIR9voD2INB3L5AD6HcWz+u0D2KJqxWbm1gZJEpnKsH0T3LVW21VD3zENz2Hbj8cr5YVc2+Jjv1HR48vgA2tw+1JKFWSRSatBSa9IBS3tzjD2LrFFYqEPSVaB6VNd8088Ciif1WYK6dMYLH1uxWguSDEJBkZBnK8vQxc3wSuRmO17gWa81K9ca0N09XrKqF/R1rvPKosyc3lBsXq7VAiKtnjKTO6qbV4aXD7UenUTGiKAe1SiLX0HVbGjr3yq0NnDG+jAs6zYfQehprzMkIwYwl4xMp//qknLvdsG+fkt+2Zw/s3s15H25C53Wzr2AoBwor2Dp0JOoLz6KxZDi/vfKU/l8EQcYglDlBYpAkOOUU5WfXLnj++V6LpUQSBN2F0/gyE69sOoRJrxlwv6NEEa+C2RcFbbBW7UyVJTvSpmVBlL8D+GRPM07PUU+W2xckEFQUI5UkdRHKvfXjinWP4p4D69Yp+aj33w+zZwNd537xEU+Jw+OnstiE168onqGKeLIsYzEqS3mm5Y0IsoPePCoDUWBCVSv/9sFerC4/amCIRY9Jr42Z45PIzXC8xrVMCwuL5elKBvHIoze31PLg69vxB5XwyD1uOw++vp0FJwxh1fam8Dij5XJVlVv48fwJPdaqlVsbop67t/W0tzEPNAQz2poaT6PyRM6lHs+hxwPffHNUadu3T/m3uRlGjKC5tIJNmkJ2F53I+iVnsU+TR1Gu/mglVbef6cYkFkwRpJSoylznqlyRyJZKXYOZjN24jRsHDzwQtVhKvKEj1Q0OpgzPp77Dg93tJ8+oPZKT5Ii4WU8F8SqY8SpoO+qsNHW4+ehIr6eJQ3PRazSDpjRvJoZYhLwFeMCoVZSzQFDmpCM5c812N7sa7DR0KFUwz64q4ROtqkc/rlj3KK458OKL8PTT8Mc/wsSJ4ZerGxycPCKfepuHQ21OrC4fgaBMm9PLcUPMqFXqsDFhVFEOo4rNacsbOVYZTDKyN4/KQOXMTbPHcdPscV1z8ozaXnN8IPJmeNqofFZubeCpj/b3aSx9Ma5l0poVT0XPaPT3vsWjRP/1g724fEGMWlW4IFO7089/Nh3mtDFFHGh1xZXL1Zdz96boxfpcf0Mwd9RZeeSdaprtHjz+ALsaOsItFOJZ3xMyl7xe2L9fUdRCitvevcr+avhwGDMGRo+GCy5Q/j9sGDsa7WFZkGvQ0LC1nvZ2FyaDJlydtnuFTEF2E1WZe/zxxwF44YUXAFi8eDGQXQJqMJMVG7fOxVJeew3uvhuGDePTvJMxl08IF6mIFjpS2+5iZLGJypKjXq9IOROJJJYAjFfBjEcgdr6HM8cUsqOug493t3LG2KLMuo8DIBMNDiFvQaj3lU6j4rghZr41sijcVwugLFfpB7R6RxM3zqrkqhkju/TjimVl7XUOBIOwbBl8+in8z//08FzXtrsYUWTCFwiyo86PXqNGp4YOd4DtdR2cMqqQUyrLwscMWbUHkjcSj7dccJTBJCOjNWu+cEo5T67bRzAYpM7qZnNNG+9sq+/TBv32f23kra8b8QdlNCqJ848v5bHLp8b12c6b4YHIvM4b76YON7ubHLTavRSadeyos6Z9TYpGPBU9IzGQaxWPR+lQmxODVoVGrVSYdPmUoiRuX4DSPCN6rabXc/U2vmgK/LbDVg61uZhQZmZEkanLetrbmJ/6aH+/0xieX3+Afc0Ocg0a8gxaPP5guIXCVTNGJjaNwOuFAwe6Kmx790J9vVJFMqS0LVig/Dt8uJLmEoHuskCjVlFuMdDh8aNSSeQZFMOxJyBH/Lwg+4hZzfKTTz7htddeC78+YcIELrzwQu6+++6kD04QnXQk/PYbkwmuvFLJo1u1itn3PsJ5KpmPps/ny0mnEtBoI4aOpDr8MB4BGK+CGY9A7HwPLUYtZXlHv2/G3cN+kMkGh5C3oPM4rS4fuxrs4b8ZW2ru8lzdcc74uCy5ne/52VUlXfP3pg2jKl8HP/oROJ2KIpeb2+M4obn/5SErWrUKg1aFPxDEkqNFlmU2HmhjX4szrHQNdNPS30ILxzLZLiO7z9WrTh3Omm+auzRrrm5wEAwG2dlgR69RUWTSYXP7+dOaPYwuMcd8Hm7/10aWf9WABKgl8Adlln/VAGzkscunxjT2dH6/ptVJeZ6+XzIvZFhptXuobrCDpBTQKM/TZ8yaFIl4KnpGYqD7g1geJa1ahT8go1WDyxdAJUkEZBm1SkWjzcXGA228900DE4bkRTQK9Ta+zutsZxlSVZ5HjlbNznql4FP3Xm3RxhxpH1HT4qDO5onZq3PzQStmvRqDVqmIHAjK2D0+3vi6nuJcQ+T1Pdb1lWVoaFAqR37zDezerfzU10NFhaKojRmjFJIbPVqpFh5FaYtGd0+02aDB4wWNRsW5E4cASr5haa422iEEWUbMGSLLMl988QXf+ta3ANi0aRPBYDDGpwTJJiuLZmg0cN55PHnAwpCdX3P+l6s5d+0rrJ86l1VVp1NWkN/lzzOxL1oiG29n5T3sA5lscOjuhZp7XDFOr0xDh4eyXD1jS83hUuzx3pNIymvIqxf+vs3NcNMPFCH929+CNrIwDc39DpcPs16NPxDEH4Rcg4pWhxcJiUUnDqXD7Wf1jiZGl5gHZPwYSKGFY51slJGhuVqghak1W7HVaGhWGfn13ImMHz9caQQMvP/yV9RZ3eFKrgB5Bg11Vjc/fnkLAVnpATpleH6PKq0Ab33diITS5BhABfgCMm993cjNZ/Zu7On+PH1Z047V6cVs0FBs7tuzGTKu/WLFdnzBIMVmPWNLTRSbDWlvd9Mbte0uyvONuPwydrcfs0FD+ZH8sZifS6JsOWVUAeuqm5EkiUBABklRdCxGNR/tbkGjktCqVFGNQv0tJNafXm3zJ5fxu5U7aXV48fqDBGWZdqeX6ZVFMY2MMnK4R6nD46fO6kZCRqMi8vrenWBQ8a7t3EnD51/SsPFrcvbvRWPUk3fCRApPPgHOPhtuuklR2qLIg75SkW8MF9Cyu/1IElidPorMul6r0mZiJI0gPmIqcw899BD33nsvdrtisc7NzeU3v/lN0gcm6J1sLppx7cyR/NbqpnpxFeOsh5n+yUp+9tG9GL+9EA6PDIecxZtAnKgFKB4Bk0gFM5vvYTxkqrIayQv1/KcHuee8CXz7pIp+35OYyuvu3fDDH8KFF8L11/co/RzJq7dhXwsOjx+zXkNJro42p5egLJFrjF6sBfo+NzsXWnB4/LQ5vXh8QeqsrowOQ8sEkikj161bx0MPPUQwGOSSSy7hxhtvTMhxQ3O1KOhh9MaPMNjasdU3Uf9XGw63A41KwjKkiBuMuexySwTyLLiMZlxGE00qA7WyDps2B8uQIpxGMzva2/h9i527LpjUxaviC8pIKB65UJ+5kIcu2vPy3PoDlOQaWLW9Aa1aYtLQPFSSlsIjz+ruRkdYmetr0+4RhTlMryxE1enZy4Q1KRo6tcSGva2YDZpwK5LP97UxfXT0Rs2QfNnyg7njaLZ72d/iICAHUUsqSnP1eAJBtGoVGpUS2hc6f3ejULzjS5QMCd1vGSXvWKdWYzZoeqyh3de5KcPz2bC3FSTpiBENAkGoKDBG/pzNBlu3wpYtys+2bVBURPOwStb4LThnLcRz3ViadGasLl/SPMLdc/s7PAF8gQAV+Uqz8Uh7qVArnZDSu6uhgy2H2vnx/Ali/c8CYipzkydPZsWKFXR0dACKoBKkn1R7rRJJaFF/Zn0NW3xlNCy5ibLxOZzz9doexVJiebcSGcoXb0JzoipUZfM9jIdMVVYjeaEabC5+8L9fIkmKjjW+1MTcieV9uie9bjzWr4ef/1zJG503r8dno3n1rp0xguc/PYhJr8GoVVHj9oMMJ1ZYepxjIHMzVABDo1JyozQqJXxYr1FldBhaJpAsGRkIBHjwwQf55z//SVlZGRdffDFz5sxh7NixAz52aK56JS0fX38nX+xvYcO+VgCKzTr8Lg96ZweXjTOzs7oOk9tBccCFztGBqqWNCW4H+V4nQ/Z6yXHZ0TvtmFx2cv5oglFDsGqNtNjhxx0yNr0Zm8GMTW+iw2imXW/Cbsyl7aCZ/PLiLuNy+/x8sqeVOceVEpSDIKvYVNPOySPyGVtiYtOBdprtnn71vNtRZ6Wm1cnmmrYunrlMWJOiIaEUquhMpMIV3Q1B48tMrN5xpKpkEmRLVbmFBxZPYuXWBrbXWTnY4mJ8mZkPqhsxaNX4g1CSqxiHIqVQxCv7EiFDVm5tYHhhDpOPrJnvbq9Hp5LY3eSIGX1x9YyRVDd0cLDVRavTi1YlYcnRcuJwCwSDDGurQ/3h17D+RUV5a2xUClmdcIJSxfv44yE/n+dWVXf5HpZOY0vGutq5gJbNrZx3QpmZUcXmqB7N59YfoKbFGW674/EHqWlx8tz6A/xmyQkJH6MgscRU5pqbm3n00UdpbGzkH//4B7t372bz5s1ccsklqRifIAqZVkK5ryw4oaJn+NZZJ/YolsLVV8PMmaBSRTxOIkP54hUwiap2lu33MBbdw1t0GhWFJh0/nj8hrePqXu57f4udNqfSp82kkfD4ZXbUO/AGDrPghIq470m0jcfsrR9i//MrvHb57XxpG0LFquoe3uNo89jplbnnvAnhkFCzQcO4EhPjh+R1OUdoc9PfuRkqgOH0BlCrwB9UvCenji7EYtRmbBhaJpAsGbllyxZGjhzJ8OHDAViwYAFr1qxJiDLXfa5+dciKJEnoNCpUKhV+jZYWXR7LDkBlxXgcHh8mvY5Ck5bD7W6sLi8jinIw65XPy7JMh8vHlGI9v5k7gtfe/gpfaxuHdh/CVt9CnsfBcGs9lgY7eW47VYYAhZ+78Le10S5padeZcJlyGZqTy+S8fIbWlFPkVNGmN+EwmnG151N13HDcBVoOeYjqXYhGyFgyJFePzenD6vKxcX8bxw3JRaVSZawBzROQmT66gL1NznD12u6FK6IZgvqVz9UPLEYdJSP1SIBOoyYQhHKLAdORvpyR+szFK/sSYfDsbmTLM2hxef3YO/Xm7E1BtBh1+CwyktfNmMYaTmrex+kfHmJY7V4cBhPt46rglDOVmgBjx4JaHXMMoe+TLI9wqIBW55ZJ1fVWXthwgNe+rI1Y4GrzwfYu+YEGrRpkmc0H25MyRkFiianM3XPPPSxZsiRcuWvUqFHccccdQpnLADKphHJfeWLtrnA1QYtRy7UzRigFKToXS1m9WmlA/sc/Kh67+fNB17XnTiIXyVSHdYbOma33MB46h7d0/j0ZRLovQI/Xupdhb+rwKmMDVCoVRp3SGLze5okrLyOUf3ew1YnXH+T4obkcP7wAu9PLia8+x7RDX/P7pT9GHjqccoMmovd422ErNpcPuyeA2aBhbImJoCyzYV8Lte0WZowuCn+fULGWRFrcQ0L9Fyu24/YFMBu0TK8sYFxZXtIryGY7yZKRDQ0NDBkyJPx7WVkZW7ZsGdAxQ3TfJLt8QdQSGLVqnB4/VrcfSYYgSricjMS4UhMmgxYkiRydGk0nA5vHH0SnVVMypJA3m2X+X42E02NBKrQgFYL/iO4hAYtOLOOKy6fyxNpd/HF1NQV+LyV+O7oOO5qOdqbmyZTqYYy9hfY9+7C4O8hxdDDsDQ/n2KyU5eeQU1YMBQXKT2Hh0X87/4Te12i6GEvMBk24mmWdzcMDiyZm7BocUrpPHV0Ufq174YpohqDqBkfceWV9pbsCGVqHbjhjFM9/ehB/UCYYDEbtMwfxyb7uMlmnlsjRqvrUmqK74WJsqYn1e1rJNWh69/Da7Wz5v7e4aMdWRhz4BvOBvewyl7Fn2DjeOe40jFf+gHpNDjfOqoQ+jgEGHqXS2z6k+/l2Ndj4cFcLeq06aoErCSmKF1g0MMgGYipzbW1tnH/++Tz55JPKBzQaVFG8JAJBPDyxdle43HKeXo3TE1D6fnG0bDwajaK8zZsHn3+uNCH/618VJe+iiyBP8UwkepFMZVjnYKd7eAuQtGIDke7LI+9UE5RlRhaZ0Kjgg52NvLq5lhEFBtqcigKXq1cTPCLBjrTfwR9QGnE7PAGWRfCidaZz/t2wfAPNdi+baqwEXC5uX/cCY3R+/vcHv0ZWGaJ6j3fUKSW3QSku4fEF+GR3M/4gFJl12N1eXvysiX98uJfKYhMLTxyC0ysn3OK+4IQKqhscGRkam8lko4zsvkk2aFVHPCsqrE4fKkCWQKOS0Kgk/AGZzw+0ceX0kZw1oZhXNh1mX7MDWVZy4uyeACOKcsjRSdz/6lacnkA4FjAgg1GrYnplIScOLwgrGGu+aaYk14gvaOCg34y+SIXd7WeXVsXlp4wElJ6PW2tteANBzp04hPmTSsnJ10F7O7S2Qlub8tPaqoS4ffMNbYfqaThQj9TWSp7bQV6xhbl+PRQW4Mm14M614M7Nx2XO47DNSFWDEXxHFECTqUcuazqZP7mMR96pZvORPmd6jZpis55L5x1V0tKRmxxvJEFvfebiNYqGZHLnNb7QHNkoFonuhgutWk1lsYmyPH1XD6/OrxiQN29Wfg4eZIRhCPaJk9my4HJaRo2jziexu1HpQfrt0mJuTGDvvlh0vl56tcRhq5uRRaaI+5Du59t4oA2VSqLcYkClUkUscDVluIX1e1uRJOloY3FPgBkx8jMFmUFMZS4nJ4e2tjakIwvcl19+KfLmBL0Sq1/VM+tr0KnVmPSKO9+kBzzK62FlLoQkwSmnKD+7dytK3be/rfRaufzyjKx4GeJYrwyVyk1GpPuy2a40/S63GPjyoBW9RkW+UUOHJ8DIwhyc3gCNdi+hbbdeq1SN9AVlAkGldHlIKSzL0+MNyD3uY+f8O4fHjzcQJN9t44r/eZKRs6dQ8N+/Zt/yHZRbui61na/Dyq0NTCgzs7PBHm4M3OEJEAjKjCoy8smeVnRqFSadinqrO1ysJbQp3lFnZdmq6oTMs8Gex5kMkiUjy8rKqK+vD//e0NBAWVnZgI8borPhalxpDo+t2Y3DE8Avy+FErcIcLXVWN8FgAKcvyJtb6nhHJXHhyeUMydOz+aAVGZnpowu5esZIfrFiOy5/EI0agvLR3C6PP8jXtTZ+ct5xR7+PzU1prr6L4tvh8nKg1RX2PGvVakaXmHtu2HNyevRmhK5GnVyDBrvTi7u1nSJ3B7luO8VeBwa7FYOtHdP+PUx12+HgekUhbGkBny+6ly/0b1FR2Ou3o9mZ9DXe6vJSb3Xj9gcwaNThyqAhUu31gd7X9jvOGR+zAm5vRlHoGU1RVW7pd0pFxIibs0ZRZauHr7fC+1vhT1uhowNOOgmmTIF77oGqKj79YF+Xa1tiUEJJZ/ShmmbUMfTBCNf9eq2rbsLu9ivKmaTtcS26n8/jDzIs/2joK/TMZbxqxkjqbR6a7UqenV6jKL1XzRgZ9/cUpI+YytxPfvITbrnlFmpqarjssstoa2vjscceS8XYBFlIPP2qrC4fefquceVGrYTV5ev94GPHwi9/qVhgX3wRrrqKqlNP5dZ5i1nhzUlJ3lm8Corw4KW2AEqk++LxB5BQEt2DQZkmuwevLwgSnDamKJwM/uDrX/P0JzU4PAFkjhYcmFyRhy8QYF+zg2a7h1njS3rcx1D+Xahs9ci2w9z51t9YPW46706/nBtbXDGvQyi/wWzQsLvRgc3tQ5KgIEfDvhYnOrUKvVaFLIM3EMSk14QtqomeZ4M9jzMZJEtGHn/88ezfv5+DBw9SVlbGm2++ye9///sEjLgnISPaM+trsLl9qCTFCBIAfIEADm8QrVqi0KTF5vbz6uY6ll16Ig8t6TovGmxugrLShyx4xCgSkJUnqsXhZcFjHzFrXCFPf3dGj3BngCASo4pNWIzafs2/7hv+PJMeWVVIq99CrS8YVvJCRooeIXIez1FPX0jBa2tTWors2qW8fuTH1diMxiMxP8+C35KPXW/igNZI4eThlA0rU6JHIv3k5kbMq4rEc+sP0ObwMcRiCHtL2hy+LkUpEm2AiWdN6W1Ni2XMjXSfQv8+v/4AziP3qfu5I6/xflZtb+1dmZZlqgIdVPn3wP6t8PXXSlPuUaNg8mSYMQNuvFFpDdDNo57IazuQlIru18sbCGLWq3st4tL5fEufcGLrtr/qnstYVW7h7nnjj2kDdDYTVzXL559/nn379iHLMpWVlWgT1AtDMPiIp1+VxajF6QkoHrkjuHxyF8HQK6WlcNttSrGU5csZ87sHuWPYMCXX7vTjoxZLSQTxKiiZ3GMtVaTSyxPpvug1yoapucNNu9OHVq1CpVJyAL462M7XtdZwHsZQi556mwf/kfZgBUYNk4Za2N3owKxX4wvIEctYhzakHW4fk+p38YN3n+K5U5ewcdKpnJuji6tlQGjsxWZDuOT6BzsbcXr9HLa6kJDx+FVK83CdGhUyO+tt3P3yV9S0OhmS279GytEY7HmciSZZMlKj0fDzn/+c733vewQCAS666CLGjRsX+4N9pHv+8sITythUY8Ok19Bkc+P0+ZFlRbmTJIk8g4YWhzfiHCvLM9BocxOUZTRqFS5/oMv7QeCDXa2c+ptVnDyigAPNR9o5HCmf7vD4uee8Cf3ubRjN2FZn9cdnpNDr2SEbWVmrobbdTEV+CfOnRd7QPv7ON7jbrJT6HBg6rGhdDgKt7WxyuznP64V9+8BqVTw+nf+128FojK7sdfpxfLyb8Tm5BIO5OI1mJK0e9OouRSkSbYCJR3ZFW9PKLbqYxtze7tOaHa2cUlkY8dzd1/hmu5sNe9vINWi6KH43n1zMhJZDSouAr79W2gPodIriNnmy0tftuOOUexCDRF7beJTcaPSniEtn72qxSRvxWYuUyyjITmIqc2effTbf/e53ufzyy8Ov3XTTTTzxxBNJHZggO+leKRB6uvOvnTFCyZHzKB45l0/GGwhwy4zKvp3MZIIrrmDHGfPY8dyrjLj//1Hg/SWGKy6l4trLw3l1iSReBaWvIYaDMSQzlV6eSPel2KwnKMvUW92oQvk7QcXj1WDzkKNTh0NWdBoNl04rZVejA49P2YCGvGQ6lYTZoKHZ7mZ3owOry4tKUjF/chnXzhjBg2/sYOw3m7jpw3/x/866lm3DjmP2MEvcLQNCY9/fbGdnQwd2t59AUEarUaGSQJaVypIev58cnZpD7W4MWhXlFgOba9qwOX2YDZo+NzkXJIZkysjZs2cze/bsAR8nGpHyl1ftaOKcqhLqbD7qrC6QJUYU6ik6Ymjw+IMUmXTUtrt6rFtzjytmd72NDk8AmeiN0+ttXkrzjIws8uI4Eu7cW35VvPRmbIvHSNEXT3etzUN5YT42qQDbEGX9D8oyX1jdnHfJidFPEgyCw9FTyQv9a7VCTQ10dDBv/TeYvC5yPQ6Mbicavw+HPgeH3ghfjlG8fAUFVBUUUBUKA80phDY/q7fv4X92dFDrCvZJeYhHdkVb036xYntMYy5Ev08yMg1WJ+9ut+Hw+DHpNZxYkYfdo+O7p4/qkj/oaWljpK2JuQYHw7c2Yqk/RM7hg5hdHTDjZEVxW7wYfvYzxQDcTxJh3IonYqk3+lrEpWeBGk3MZ01EE2U3MZU5jUbDhg0b2LJlCw888AA6nY6GhoaEnDxZDVEF6SNS6Ex3d37nkJ7QAnXLjMqe+XJxsKPOypOfHMQyeQb7pp6Bofobxr7/JvkvPo/p/PlHywUniHgVlL6EGA7mRTRVXp7O92XDvhZqWp0EgzJFZj2yHMQbCGJUSZRb9DR1eFCrlIp8KknCF5CVkJVGh9LLqqYdvVrC6vKi16ixu/1UFBj54kA7eo0KvVoFksST6/ZxdlUJ3679klkfv8ivz7mRmiGVWIxaCky6uFsGVJVbOG6Iib+834AkKRsnhyeA1x8gz6Ch1eFHowaTTk2Lw4takpg6sgCVJFFs1mN1+bqE24iCJaklmTIy2UTLX/78gJVP7pnLjjord7z4FUhK+wGPP4jHH2RUUQ56tdRj3app9XHTmaP5v88Pddn8R+qXZjFqmTjUgqWP+Ue9MdBogL5EVPQ7jFylUpSw3NweeX/dleNdJ9j4pt5OrkGDXqPC7/ESsNo4vVTLaTMrFMWvvf1oIZg9e6CtjUN7azHtruU+jx1JrcaqN2F9wsT+CcMYNXYYWCyQn3/0x2xW8hCNRsYHbLQ2O8ix5BHQaEClCn+vWEbHeIy5EP0+FeVo+ai6iTwCDMGHxuakYV81p5VqyGv+gvPWbCS37hAlzXXIbjdNxeVox47BM2Iku8adS3tZBbu0Fv7fpSfHuNOpJZ6Ipd6Iu4jLkXsRaR7HetYSFU00GA3T2UBMZc5oNPKHP/yBv//971x55ZU89thj4UTvgZDMhqiC9BHqVwW9u/Nvmj0uLuUtVmhCj1jyCVWsHzGWPT4H/9W2BX7wAxg+HC67DGbPjjtXoTfiUVD6sqnI1pDMeBbteBf2RAiAqnILe5vsvLLpEHkGbXj+uf0y40rNqNWKYhaQocSspeCIp8Fs0ODx+rG5fZTkGjh5RD7bDttQSSomD81jZ0MHXxxoxxsIolOrMGpVzBxbjE6jZvdj/+Cir9aw/O5fI3vMjNWokGWZrbU2RpeYw/c71jxe800zQ/ON4Xu/p8mOWiWhVqs5Z2IhXx2yYvf4Ccpw5vgixpUpXuexpSY27m+j1e7tVyNlwcBJloxMBbHyl6vKLfxg7hj+9N4eWhxeikw6RhXloFKpkKHLuuULBNjbZOebehsLT6xg/uQyFjz2EUGUOlZyd22OxHuRBxoN0JeIilTkqrl8QYrNOjz+4JGiFBqKR5RzwbzxvZbDv/OJ9YpR1aBB73WT47ITbGunNOjm1zOGKQpgeztUVyv/2u3gcoHTyeVtNuoOt2L0e9AG/fglNR6VGkuukSYvnK/TIem0dAQkav3QkqMnLzeHYWUW7q6x4ZTVqPU6AmoNfo0GR1BCY9DDE9Wg1YJGQ1VzM/ft2k/jrgMErDbM+CnRytTUtRPweglodHi1Ouz6HKy6HFR5eewbOwq5cjQts+ewr6yC91tlrG4/eUYtM460brC6fAyNN10jhcSr5EYj4ryeNz7qvI40j+utTt7Y0h61z1wiCpYNZsN0phNTmZOPrMA33HADkyZN4vrrr8dqtQ74xMlsiCpIH6HFIZ7SxLGIJzQh2gK016OH730PrrsO3nsPXngBfv97pa3BwoVQUtLv7xi1R14n+rKpSEdp6YGyo87apSH4roYOthxqDzcEX7m1ge11Vg62uBhfZmZksSnqwp5IARDJAur2+tnf4mLhiUPJNWjClcDGlpgAGFtiYsPeVsxHQlZ0mqMV9AAeeaeaPQGHUq4dObwzPX3VS2g/e581P/sNmqJSTu5ws7vJQYfLB5IcHn8887i7sNdrVPgCQRweP+PK8hhXlofV5WN7nY0yS07474rNBo4bkkudzdPnRsqCxJAsGZkKYuUv76izUt3gYHihEavLT55Bw6hiM/Mnl/HUR/spMitbiGa7my8OtKNTSyATfoanDM/ji4O2cPuPECMLk+dFHkg0QF+8banIVRtZZMLrD1CSa+iToSu8nkgSHr0Rj95IMK+InXYvnH9Wr5/NBQ7VWfn31gZq25wMN2uYN6GQl7YcxtHhxKKVaLfa2VnTiibgx6KRGVdg4AOnm8rj1Wz4ug6zSiZXFcDr9hLweFk8sVhZN10u8PuhpISi44+nqLxc8RLq9WAwcOtfPkVv0GH1BMKVfS0GDQ5fkGmjCo9Ub1QMJWO17qwxZMUTsRSL7vP6zS21/GLF9ogGwop8I/ua7NR3eLC7/Xj9fmrb3Zh00WVQIgqWZathejAQU5m77bbbwv+fOXMmTz31FK+++uqAT5zMhqiC9LLghIoB5T2EiCc0IeYCpNHAuecqPzt3wr//DUuXKiWIFy+G009X/iZOOueYGNQSLXYvv3unmg93NfOzBV2bz8azqXhzSy2f7Gmmw+Unz6jhxGEWxpXldfkOmRi28Nz6A9S0ODEbNOQaNHj8QWpanPxx9S4MOuWeWZ0+kKC60d4lp6v7wp5IARDJAlqSq8fmtrO9zkaDzU2eXkOBSYtOo6bB5mJHXQd2r5KP9k29jYnllvCmbNmqaoYX5mD3+HH7Ahi0ajweH8c/9zdKrIf5w3d+xsicAixASa6BklxDeD5Gal+gfL+e87i7sC/I0VHT6sSgVXXZqFw7YwSrdzQBR70BKpWKBxZNDF+zvjTUFQycZMnIVNBb/nJnI8txQ/LCczA0rzqvvbsbHeiPNGrMNR6d66ePL1MMKLtawxl0Qy06Fp00DKvLl3Gb77562xIZRt5b8Za+hqEOVHmI9L3+samJ8iFlOCSJjTYNnqG56DUqajx+yicOweryETBqmTvH1CMK4cQ49wNFhbnYXD6GFRy1LlhdPsryDD1kfaoMWYmQv/FGLMVLLAPh+DITr2w6hEmvIVevZl+zG18gSH6ONmqfuUR4mrPRMD1YiLqL3bNnD2PGjKGsrIxt27Z1ee+ss3q37Agyl1QoBok6RzyhCX1agCZMUJKh77hDaQ763HPw0ENw1llKc/IpU2JWwgzlmGjVYPcE0ahAliU21bT32ZsUWpD1ahVutYTDE+CjXc04PX4KzAYunTYsY8MWNh9sx6xXY9AqIVoGrRpkpbHwBScMxWLU0uFRLPkefzCc0xVpYe9Lu4dY8yrSJqapw4MkqZhYnsf0ykI63H4OtjppsLrYVtdBQY6WOceVoNdoumxWO49tbKmJLw60o/H7uO6tf6C223nh5p9y8Uk9lavu8y/eokCdhb0/KGPUqvjWyIIeG5XRJeYe3gAgI+fJYGYwyMje8peXraru1cjSee21urzo1So8AZlJQ5UQ4NAz/PR3Z4TP1/0ZzjQvcjpbcySylUtvykN/5XPn8dndfsx6NR5/kDyDMt6+9Jnrz7hHl5h7yPqQIStZ9ydR8jeREUuh4/RmIKxucHDyiHzqbUrPuKAMuXoNTl+AoiPH6C6DEjH3U9mOSNCVqMrc008/za9+9St++9vf9nhPkiSeffbZAZ042Q1RBT1JhWKQyHPEY13s1wKUkwOLFik/tbWwapUSgtnaCnPnKord5MkRFbtQjondE0AlgUqS0KnBE1BCk/riTeq8IJv0GlqdXuxumeomB0+dXxX2DGVi2IKE1KOggQz4AjK5BmVZyTNocfsC6DWqcAnlSAt7PAKgt3m1t8keFpJalUTrkWbhoc1Aq9PHySPyu17Dwhy219mYc1xpj5YYna9t57YBpw7RM/Nv/02bSsdrV97Fz8+ZGFW56nxv4pnHfRH2kazmmTpPBjPJlpGpIlr+ciwjS+e1VyUpRYFOHmHpUYjnwde/5qWNtbh9QQxaFUunVvBIb9UeO5GOqIR0teZIZA5etPUkpBD1Rz53Hp9Zr8Z2ZE2fXKEo7/EWSenPuEOvp1rR7pGT71fyQu96aQvnTCzr83dLRMQSxDYQhnqXjio2A/DvLw7i9gXw+o9WmI3kqR3o3E9lOyJBV6Iqc7/61a8A+Mc//oFer+/ynsfjGfCJU9kQVaCQinjmRJ4j3tCEeEtORxQwFRVKXt1118GBA/Duu/DrXyulo889F845B6qqlHh/juaYBGQIbc19QSXHqa/hBJ0XZJNeg0mvIRgM0mj39vAMdSYZYQt9FcBThltYv7cVSZLCzWztngAjCox0uP1YjNqwN0ux3mqihlXFIwCizas/rdnFFwfa8AfBHwzi9Qfx+YMEcdGuVTOiyER+jpbjh+V3OWeuQUODzc30ysIer3e+tqGxGew2Lvnnf9MwfAQbFlzHz88cE74+seZfvPN4IMI+kfMkE8N6M5Fky8hUEe1+92Zk6f6Z7581mtU7mtBp1F3CgtscLt7Y0oBaJaFXg9cf5JlPagD4+cLjY47rWPI2J9orGGk9GYjRp/P48oxK8/gJZWYKTfrw2j5tVP6A71lv62CqFe3O62pThztc6TgoB9M6H2MZCLs/uycOs7BuVzMGjZpgMJi0PnPp9Gwf68RMFrrssst6xP9Heq3PJ05RQ1TBUVKhGCTyHPF6K2JtPuPeFIwcCTfcoPzs2aModj/7mdIX6MwzYfZsrjulgj98sI9AEJBkAkEIBJXk7L6GE5TlGWjqcOM9Uu5br1Gh06i6WMtSEbbQn03TVTNGUm/z0Gz3HKmyppRKXnLy0HDYYaFJz4QyMzsb7OQd2UBEWtjjEQDR5tVrm1uVBsUqCY8vgCRJqFQSKmDGmOLwcSNdw7I8Q1jx7Px652tbVW7hlioT0vfvYev4Key/9DpuOH5IWkNsIpGoeXKsbaATQbJkZCro7X5HM7JE2rCv3tHE2VUlVDc4ujzDlzy+XlHkjuTT6VVKn7qXNtbGVOaOxWIKkZSVaJVw+2N0Gah87jy+SCGzifRkZQJd8kKbjuaFWoy6tM7HWAbC7s9uaZ6RieV5OGP0dIxnLxVrzqXLs32sE1WZa2pqoqGhAbfbzfbt28MVu+x2Oy5XYjb/yW6IKuhKKhSDRJ8jlrcins1nvzYFY8bALbfAzTfDrl2wdi08+ig3Hj7Mt4ZP5CnVMNYVjYOcHKaOLGBsaV6fwwnmHlccLqZi1Co5c21OL5d1OkYyyl93X4z7c32qyi3cPW98xIW9c9jhqGIzN3fyYkUjlgCINq9cPkUZc3oDqFVKk+1AMEiby8/q7fVs2NfCtTNGUNOqlFrvfA07FxNx+/zsqOugzenjjLFF7KizKuOprmb8z+6Cm65i3FVXxX+hu5HIEJtIJGqeHIsb6P6SChmZbHq733ecMz6ikSXaZ6obHD0Kdbh9Qbp1PkCrUl6PRTTFY3udlWWrqvvsOc4Gj3P3MeboJJ7/9GCPQheH2px8U+/os9ElXvnc3037Ux/tz0hPVn/pvK52uHxo1RLegBwOLfX4/aza3pryORXLQBjJQPrA4km9ji3WXkoY+jKbqMrcRx99xCuvvEJ9fT0PP/xw+HWTycSdd96ZksEJEksq4plTHTMdz+ZzQNZISYLx45WfG26Axka+tW4d31q7FudHK9hTUME3DVW4vjWNaeef1qdFzemVmTaygF1NDhyeACa9mhNL8nB6j2ajJTJsIdpi3OH2UVWe1+Vv47k+0RSwzq/3Vj65L0SbVwatGn9AJhCUUauUBuDegNKk2KxX4/D4ef7Tg1x16nCcXrnHNRxdYua59Qf4ZE8rBTlaThtbiFaj5sl1+7jTtYPhzz8FP/qRkkeZwSRqnohqZPEzGGRkpPsda4PaecMeItocMWhVeP1B9J3Sj31B5XXovf9iJMWjpsXBwRYXFfk5fdpQJmsjmkgFMdIYn//0MHnGyIUuzp04pM9Gl+7raE2Lg50NdoYVGFm2qpr5k5W6Bf29VpnqyeoL3e9pyOOMpOTCfmukhWKzgWa7mw1728g1aNKi3MQyEPbVQxZrLyUMfZlNVGXuwgsv5MILL+Sdd95hXoZvZATxkYp45lTHTMez+Uyot7C0lNt9o3grNwfV6XM4oXEvl7tquea9F+BfjyoVMU85RfmprAzn2kUb+wnDCzhpxNG8raAs99gUJSpsIdpiXNvuihlu2B/i6a8WL9HmlcfnZ111MwDBoIznSIK3TiMRlMF8JBdxzTfNvHTTjIjHLck1hAuhNNvd7K5p4uzXn+FQcw2evz7K2OnxFWtIN4mYJ6IaWfwMBhnZ/X6HNqhatURNi4PNNW28s62+i9W/L3Nk6dQKnvmkBo8/iFalKHKBoMzSqRUx14dIBpydDXbGl5n7vKFMxkY00QpipDF6/UHc3kCXv8vVqznY5gwXmgq/3k3uRVM0Q+totD6gOVpVv69VLE9WKg1D/VG0I93T1TuauoQda9VKXujWWhsSMGloHipJynrlJtZeShj6MpuYOXNnnXUWr7/+OrW1tfj9/vDrt956a1IHJkgOqYhnTmXMdDwbi0R6C2//10aWf9WABKi1OjYOPY7POY61J5bx2LzRsHEjfPYZ/O//gtsN06Ypit20aTB0aJ/H3hdiCa9oi7HFqBQnCf2eKG9qPP3V4h07RJ5XP5g7jma7l92NdmwuHzJKGJdJq8YfhJJcHUatipoWR9TQrNB1aba7Obj5G2568wkaykbwq0t+woT9MjeOsMa0+md6+Fa8iGpkfSebZWT3+7211obXHyQYBI9WTZFJh83t509r9jC6xExVuSXmHOn+PFxwQhlrvmnuUs3y5wuPZ+kT63tdHyIZcIYVGBlZbOryHeLZUCZjI5poBTHaGG0uL4fanF3yqi1Gba8GuFiKZlW5Uim5Ij+nx/g/29fK3KrSHuOI51p1vmfdPVndxxiN3tbTeNfa/irake5pm8PDL1ZsZ0RhDkatCp8/QJ3VjzcQZFplQbh6a1+uUyYSaz8iDH2ZTUxl7pZbbiE3N5dJkyah0+li/blAkFLi2XwO1FvYWYC8/lUDAFq14nFToZTjf+vrRh67fOrRBuUAhw8rit2GDfCXv4DReFSxmzYtoRvneIRXtMV44pENWqK9qfH0V4t37NGoKrfwwOJJYUvz+j0tyLKMUa+hIEeHSa+hwerCF5Cxunzh4z/yTjVleXq8AZmaVideX4DSzz7izpXPsebMJaybdDrmI83Pe9ucdR67RgUf7Gzk1c21nDG2iKtmjOzXHEunQiiqkfWdbJaR3e+3NxDEYtSgUavCPSTzDBpaHb7wc9DbHIn0LKtUGl6+eUaPORTP+tDdgLNsVXW/NpTJ2IgmWkGMNMbyPB1NHR4cnkCPvOo2Z3QD3EDSD2Rkvj7UTnWjHYfHj0mvYXypmROHF/Tp+wwrMHKwxUWHy0+hSY5LvvUmCyD+8M/+Ktrdr0mz3c039R0EgoR7lFpdvi6FtTqTzcpNrP2IMPRlNjGVuYaGBp566qlUjEUgiItoMe29bT776y3sLlyCKPlYwaCMSqUodGoJ/EG552clEytNE6mdUknFmdey0Oxk7IFvYOVK+M1vqCov554Jk1mbV8mXJZWUDCli2qh8Vm5t4KmP9vdpUx+P8OptMU6GNzWeap3xjj0eLEYds8YV88WBNnINWoxaFVaXr0efOV8gwL5mB812D7PGl+Dz+Sl/6Vmm7/iUB+fdzKGyEeS4/cyssMTcnIXG7vUH+PKglWBQxu3189bWer6oaY+ramWmJZaLamR9I9tlZOf7vWxVNW9sOUyR/ujWwOMPUmjSdnkOos2RvjzL8fRf7L7Wjy8zhYsW9WVDmYyNaKIVxEhjdPhkTqjIpa7D2yWvOteg55Kp0Q1wA0k/KMrR8tn+VnRqNTlaFU5PgM/2tzJjTNc2LpHovJYdNySPHK2anQ12nL4Ak4ZaYhqGeps/od/jmVv9VbS7X5PdjQ4kSaLQrO0RSjnYlJtYhrxsNPT1lpM72IipzE2ZMoWdO3cyYcKEVIxHIOiV3mLaE72ovLmllofe+oYOl49co5aThllQAcEjP6EtSEAGjaprblyPcbr9/KVN4sYzz6fq8sshEIDt2yn7/HOWfraOpa/+DVtBMR8bhlA+5jhyj5tErbYs7k19PMIr1YtxPNU64x17NLpf5w63hpFFXhydSjB37zO3u9GBRqWcd/P6rVz8wUuore38bNGduHLz0SHBkcqEsTZnobFv2GcjGJRpcXjRqCA0HTqHp0VDJJZnN4NJRs6fXMY72+qxuf3kGTR4jhhiRhbmxKWk9OVZjlVePdpaH4/xrjvJWPsSvZmPFlZaVa7kZIUI5VX3ZnQZSPpBm8tPqVmP70gOskmvJl+l5B1Hai7fme5r2ahiMwUmPRajtkel00jEmj/xzq3+Ktrdr0mz3YNWpWJsydHQ3tA5+zqnBqpYpCJ6I5YhL5sMfYnM2c8GYipzX3zxBa+++ioVFRVdQkhef/31pA5MIIhEqja+oYXA4fFj1qvx+IJ8tLuFsjwddTYvQVnxzgVkkIHzj++aYxBznGo1HH88O4pHsHL46dSd2YFn5y5Oaj1A1cFqStauQOt0cHjEOGo2TqLqinkwaRJECeOKV3ilcjGOp1pnX8YeiUjXeeJQS5fNQ/fQrKYON976JpZ+tYoz92zk9Uln8vrMKzHnmigzaJUKbLLMtsM2RpeYe92chcZud/vp8PjCSr1Bq+oRnhYNkVie3WS7jOy+SbxwSjmvbqqj1eGj0KRlZGEOarUqXOmwN/ryLMcqr96XFgjxkOi1LxkKYqSw0n1Nduo7PNjdfswGDUNy9VSWmHs9zkDSD25+fhOluXpUqqMe02Aw2CM8PhIDXctizZ/e3us8j3VqiQabBwpz+qRod78mRWY9Q3L1XfLiOp+z+/3aEaVtxkAVi0yL3ug8rkxID4hEX3L2BwMxlbm///3vqRiHQBAXidr4xlqEQgtBUJbxB4LhUtqSSkVlsZEDza6wR+7840uVfLk4xrnt8NHFXq+WOGx1M7LIRFmhmbfN5XyTV87UM8+j2GzAYG2leM83GLZ9DcuWwd69MHq0otRNnqz8O2IEqFRdhHfUnmkpprbdRXm+EZdfDm9EyvONPe7VQCzcka5zXbuTN7a089qXtZTlGZh7XHG4z1yxz8F5a17i9B2fsH7CdO6/8ucckA0EZRmtP8jskfnsbnRgdXlRSaqYwvJohTMJtzeIViMRCEJpnj5ieFokRGJ5dpPNMjLSJrGm1ccP5o7p4v2Kd5PW12e5t/Lq2WDkSLZxbHyZiVc2HcKk15CrV2Nz+ahrdzEvhmIdr6IZafzxhL9GY6BrWaz587uVO2l1ePH6g+g0KgpNOn48f0KECA0/QVkOFyvpi6Ld+ZqEjmt1+WLO594UroEqFpkYvZGpCmaIeHP2BwsxlbmKigo2btzIgQMHuOiii2htbcXhcKRibAJBDxKx8Y1nEQotBBqVRJ3VDQTRqZVyy9MnDuGvV8ZuzvrVwbYuSeTleXoc3iDDCpQeSeuqm7C7/ZRbDKgkLYVHLHa7Gx0Umw24LYVsq5qG5eSZcM54pTrmzp2wbRt8/DE88QTYbDBhAlUTJnBncQUvNRn5rBn0hZYuPdPSscDq1BIb9rZiNmiOeDcDfL6vjemjC/uV9xhJAe8+H6rrbXy8pwWDRh22gD7/6UG+c3wBI99+iZHvv80b5cfzk4t+iqewCLVKQuXyIQfAGwhSbDZQbDaEjxlPFUu7x4c/KOMNBFCrNJRb9KgkqUt4WrQQmx11Vpo63Hy0u4WCHC0Th+ai12iyOvfiWCObZWQyvF+J8lZlg5Ej2Z6J6gYHJ4/Ip97mweZWrsWEMjPVDQ4WxPhsfxXNWOGvvTF/chmPvFPNZrsHjz+AXqOm2Kzn0nnxzaVYxXVC4aYySnRH6PdI83hkkSnu8M7O9Ec2RRtD6PX+KBadx7H9sI0Th+cBR5+FdBs2MlHB7Ew0o4RZr4la2TqbianM/fnPf2br1q3s27ePiy66CJ/Px49+9CNefPHFVIxPIOhCIvIU4lmEji4EisLX5vRi9/jJNWqpae5gwWMfhfPmZo0r5Onvdu1hlqOTeiSRf3XIyknDLeHzeQNBzHo1u5sclOQaGFtiYtOBdprtHoJyhOpfBgOceKLyE6KtTVHwqqsZXv01Cz/8ggvb2zB6XLjyC+koKaepoJT9m4dRdf4piidv6NCo4ZqJRAK6l4WRgXant895j9EU8LOrSroURNhU046ERHm+AYvDyrf2b2dE9dcc/89tHH/Vt2HVct59aTd6v5+AT8kHMuk0uDx+VJIU+brHGM9xQ/KoyM/BpFPT2OHG7ZMpNKnC4Wk5OiliiM2hNiff1DuwGLXMHPP/27v3+KbLu/H/r5yatE3T0iNYjkU5CCo6EYsKTkCOBUXlVhHBuVvnpg7UbXhv01udU3e76XTO4TyAg+8mKoKg4A+YwjZRQVGsnOVcS480bZpz8vn9ERKanpK0aXPo+/l4+LDNp8nnyifhuj7v6/C+stlT3sB/DtZyxdk5cdO7KUJL5DayK0a/ojVaFe8JJrpjZKKszkb/nHQG5p6ZVtnaXqTRFGr6ayje0+uNVaiCfg9Xe8l1+mWnMbLwzDGzzRUIeKI1Y6eja/LbK0Oko53Ny3GgooFPD52ieLAqom0eulK8j5y31ilxqtHBgJz0oMzW8TSa2Bkhg7mNGzeyevVqrr32WgAKCgoSptdRJJ9o9PyGUwk1rwjcBl82K2OKis+P1wf+zgt8dKCWBa9sCwroNu+tbrGI3O3xUlZ3pifOZNBhc7qx2H17U+VlGBhSYORkg4Nysz2899arF1x6qe8/4KU3v6JPpgGN10t6bRUZld9hrCyH48fgrbfg2DGoqPA9Lzvb95//5+aP5eRAbi40WTsRCYdHYUxRLw5VWam3uzAZfCNPXx2v55JB2RH16LU3gnDHuEFs/OI4zq+/ZtyXO7nAUs7gyqOYLHV8O2A4+waey8pLZ7L6V9cBcGG/KrYdqiXXqEevVeNwe6m2OMhOSwn7ujctT7XFzsHKRmoanRj1Oi7om0lFg4OTDQ4yU7Us23aMFLWqSdnPTLG5+tzegdcpMKWGNSIo4ksit5HxPPoV79nzumNkIlafT3vTX9uzobSCATnpnN8k4ZQ/4OrsNWmv3Y7WderMZ9peGb4/NDei0c7m5RhxlolPD9VSWlbPuCH6uOjYiOe6A1rvlCjKTSPflBq3o4mdETKY0+l0qFQqVKeHs61Wa5cXSoj2dLbnt71KqOnUhvMKTRyttQWyIt5z1WDu+X9fAmeyFQJ4Fdh6oDboHBX19haLyBWlkQb7mU2Fz85PZ9u3tWQYtIERIY1GzSMzz+3wNgrHaq3sPHaKXKOes/OzyB3RG3ORi8zv63xTNQHcbqiq8o3qnToFtbVn/n/w4Jmfa2rAbIb8fCgs9I3oNf8vJwdUqlbL47/OlxblBB4z21woKGQYgqueUD16TRtyjdNBRuV3ZB4+ROPeb6k7dZTrTh7GeE4R6z1ZHOg9iC8umch3vQegqH3bE5iafNa3FA/gZL2Daotv6pJeq2FYbxMPTB4S9nVvutH450fr0GvVZKfpOGV1853Zjlql4tw+JjIMWj75toYUrRrj6em24GvQj5+yRnwdRPxJ5DYy3ke/4jl7XneMTEwZWcDDa77hSE0jdpcHg07DwJx0Hpk1IuRzl2w5wLJtxwJt3fzi/iGzUfo9uvZrVu4oa7HReyhdeU3aa7ej9T3uTPlDbf0D4Y92Ni9HXoaB0YN68dUJc/gdvV0s3usOaNkp8cCbXyVtmxsymJs6dSoPPfQQ9fX1rFy5krfffps5c+Z0R9mE6BJtVUKjB2a1SHOv12mDhuB/cjqYa86Lr6LwNyytTatI0ahJ0WoCi6l1Gg2DctMpMOk7XUH7p2X0ztBTb3VhtrnYceQUw3pnoFargytYrRb69PH9F4rTCSdP+jZA/+47KCuDrVt9///uO2hs9L1O82Cvd29m6m28tv0wB61O7F5wGzNIy8nmwr6ZNNjdvkbZ60XjdmNvaORsjQIHDpwJJP3/1dZyy5ffoj1VS4a1AZ3dSnVWHt+kZOPMO4uvxk3jD+n9qHBr6J9t4ECFhV7pejLwrXFs3gM6vE8mD0we0qm1Lv4bi4OVjei1vg2W7S4P2cYUahudAIHpQBmpOqynt2XwB3MNDg+Zqboz1+G0eOrZFOFJ5DYy3NGvzqwNi+eMd53RHSMTh6osHK1pxOOFFI0GjxeO1jRyqMrS7jVcsuVAYFsYk16D1eHhj5sPAoQM6B5d+zXLPj6GRq1CrwGn28uyj48BhAzoCrNSOVJtCazxMxl09Dbpg6aJdlSoYCmSUdy2vpOd+UxDlSGS0c7WymHQabn63N4dWsvaFeJ95Lw18T6a2Bkhg7nbb7+d//znP6Snp3P48GHuvfdeLrvssu4omxBRE86i5nCmWPj3mfNruld40znYE4blsvyT48CZaRUeBe4YNxCrUzlz3ghGg9p6L1NGFgSV3WjQcrCqkVqLk/J6R4dH+gDf2rr+/X3/tcZmg/JyX3Dn///XX0NFBbkWO5NP1GFxelG53ZhcVnp57PRO11HrVNB7PWgVDy61FotKg1av56tUI+TmUji4kNz+fXzTPM8+m6zRV/D/DlrR5OWizc1m68EaLHY3QwqMHK6xoteqydIpNNg9DMhJD9pnrrUe0HB6/Nu7CfXfWPimZ+qwuzw43F5GnGVi57G6wAJ9gFF9M/nXgWosDgWv1xuYYjO/uD97T/qm48VTz2ay3nx3lURtI5t/zrdfPrDVz7kza8PiPeNdZ3THyMSybccC+7T5mW2ukFkQl207RopGQ7peA0C6HnD4Hg8VzK3cUeYL5LS+jki92rdx/ModZSGDuebZN802F9/V2bh6ROhtLUIJZ1PrcL5T7X0nO/uZtleGSOrVRBj1gvgeOW9NolzXjggZzAFcdtllCdE4CdGacBc1v/LvIyGnWIw7J5uPDtQGBXEAA7INqFVn1kVZnQqLpw7t8CLySN7LS1sPY3G4GNbbBPimZORl+NLtl5vtHR7pC6vhSU31bZdQVNTi0FOrdgWyWfrXplnsbsb2MzL3e31Yt/8Uxy1uUrRqDlZaTm9QfCYDWtNpjwOBa5uUyenxMnpQLw5VWwMjY4qi0OBwc2H/Xh3KYtb8/bd3E+q/sXj43d3UWpxkG1MYcZaJvAwDKdrgNYbnFJiwOj3sr7S0CDCbXme9RkWqTs0r/z4SsyAqmW++u1KitZGRfM6dWUcU7xnvOqM7RiY6ml7dbHNhOh3I+aXqVJhtrpDntLu8NHsqOrXv8VD2VzRyYb+swL54plQdQ/LDy77p117bE41gqb3v5KJJQ7rkM420Xk3EUa9EkMzXtc1g7sILLwysAWjNF1980SUFEiLawr2hCGcIfuntxSx4ZRtbD9QGRuj699JzzYX9An/jDwAXTRoS9c0p23ovZXW2qE3Zi9YN/c7jdRj1Ggw6352BQacBRWHHSSuPnV3IsLN91+aXq3ZRbXGSYdBiMuhwuL0crm5k+bajPD77/MDrNW3I/RuBW+y+Td3B13vse76bjbtrOzWyFM53ZnifTB6ZeW7gWmUYfFsKZKenoFapgvYm6pWu55X5w9rc56npNc8xamMWRCXzzXe0JXIbGcnn3Jl1RPGU8a6t7UE6o6tHJjq651vm6and6fozj9lcSlD70BaDTo3T7UXfpE/K5SWw12p7yupsDMhND9rUPJLsmx1teyJ5XqjvZFd8ph2pVxNt1CtRJOt1bTOY27lzJwDPPvsseXl5zJo1C4B3332Xqqqq7imdEFEQ7g1FuEPwTbNW+oOKprpyDnZb78V0OpAIVfZwROuGXoWq1a0J/Cmr/XYeN7cI+hRFYedxc5uv3XSzbofLA6f3dSvMMvDpoVNo1SqO1TTy5bE6Pig9yT0T2h8Vbd6ru7vcHBjp9GvtO9NaT9/PpwwFCHps9MAsNpRWtDnq1vSaVzXYA9NkH353d+emyUYonm6+410it5GRfM6dWWcSL2tU3ttVFtgeJD1FzaFKCz9762ve+6qceyaeE7c3dx3d821+cX/fGjmHb0TO5vLtg3lX8aCQ55xzcSHLPj6Gw+1Fp/YFch6vwpyLQwe+nf28O9r2RPK8WHwnpV4VXS3kNMt//vOfvPvuu4Hfb775ZmbOnMlPf/rTLi2YENESbuUd7hB800xfOo2KPiY944YWdMsc7Lbey4izMgNr5zqbyKCzDY//HDaXm1ONLgpMvjUfDrcXi8NDcVF20N8rKC0CPBUErTtrzv9Z/W3b0cCG2xf2z2T3dw043V68anC4NWSn66i3u3n+n99SlGcMvNfm0xu/M9sZkJMe6NU9XmMjTacJWrjf/DsTas1R03OF6jX2X/OqBjtfHPNlx+yVpqXG4ujWEbpwM73KWrozuqKNXL9+PX/605/49ttvefPNNznvvNCZBCMRyQ1tZ9aZxMsalWXbjpGu16JVqyg3O9CqfVOaPz9WF9fTiDu655t/XVzTbJZ3FQ8KK5ulf11cqGyWrdUHnf28O9r2RPK8WHwnuyKAlPpYNBUymEtLS+Pdd99l+vTpqFQq1q1bR1paWneUTYioiKTyDjUE3zzTl8urcKTWhulYLWcXmLp8DnaojF7RmIrSmYan6TnGDMrm3wdqqKh34HR7MKWmMCg3nVuKBwQ958J+WXx6qBZUvkX3p6xOqhqcZKfreGbj/jYbqeF9Mvnt7PODGjWnx0tmqhatRh0Y6TMZtNQ0OgO9tM2vw9b9VVjsbvpkGlCrdLg8HjyKlw/3VzGoxsq5Z2Wg12qDvjPRXnMUyI5ZFZwdM9eox+Px8vC7u+mfndbljXa4mV5lLd0ZXdFGDhkyhOeff56HH344SqUMFmmd2NF1JvGyRsW/9qzMbEerVqHVqFCr1Fhdvqyy8TyNuKN7vt05/pywtyJo7qGS89pNdtJe/deZz7ujbU8kz4vFdzLaAaSsbRbNhQzmnn76aR5//HEef/xxVCoVF110EU8//XR3lE2IqIhm5d1api/cXg5WNbL67iuiXPKWOvNewp2K0pmGp+k5MlN1jBuSyzff1ePyKFw5NL/VQGRe8QDKzXZqG51U1tups7tJ12sYU5QdViPVfC3de7vKSW+y4MPh9pKTnhLopW1+HZweL0a9hoNVjahU8PnROlJ1GrJPH//PwVquODsnqAzRXnPkv+a1Fie90rSB7JiFWQb2V1hweb2MGRTe9YCO99q29f2StXRt64o2cvDg9qfRdVak9Uhn1pnEwxoV/9ozp9tLisZXN7g8Cka9Nu6nu8ViBKatPer8Zdm4uwKdRsWIs0yoVbqg+mDRpMgzNPt1tO2J9Hnd/Z2MdgDZWn1ca3F0W6efiD8hg7m+ffvy4osvdkdZhOgy0aq8O5PpK1o6+l7CnYrSmYantc1Oxw3x7aPXVnbJ4X0y+fmUoWworeD/232SzLQURhaayDWeeZ1wg4YpIwv4oPQk9XY3JoP2dIZMLwNz0gK9tM3LaDLosDndWOzuwL5xAPmZqRQX5QRuaJqeP9prjppmx6yxOMg16hlZaOJAZSOoINeoD8qW2t716GyvbWvfr3AyvfZUidpGxkOQ1V0Ca88UcHs8eBUVTo+XSwb1iut9pmIxAtPWHnUV9XZOWX0jmV7FC4qaL47VcVH/LPIyDIH6oCPBZ9PnOJxudlQ00OBwBxLVhJPBMlWnxuX2UG52x2WWwmj+e2ve/lQ12DvU6SeSR8hg7sEHH2z18SeeeCLqhREi3nUm01esRToVpSONQEenyfjP52+k1E2yBEZykzC8Tyb3TBjM8//8lppGJznpKQzMSUOtVjNlZEGrZTw7P52P9lbh9iqU1VkxaNWk6jSMPTs36PwdfZ/h9Br731tmqpZ6q4uCDD3Z6XpqLafQqH1lbH492tIVo2jxksgiHnW0jVywYAHV1dUtHl+4cCETJ06MStmEj3+a4osfHeJwdSNGvZaxA7PJN6XG9T5TsRgRb2uPupU7yrj+e/1OlycFu8uDXqviYFUjeRkGGuxuUjSqiIPPpgGrVg37KiwowNjB2ei1WjbtqQpa79za8/pkGgL1arwGMNHMptq8Pj5YFXmnn0guIYO5K6+8MvCzw+Fg06ZN5Ofnd2WZhIhbncn01ZrunELTHQu/Q50j1Ptt2khVW+wcrGyk2uIgVafh6Q/20y87LeRNQlGeke/1z2LncTMNDjdn67XMKx4Q+LsWZbS58Si+tN3uRi8eL9AkmGwtAUiKRkVFvQOy0zq95qjpTcmw3ibSdBr2VViwujxkG1PoY9IHjVKGCqK6InNavCSyiEcdbSOXLl3adYUSLfjXnjX9d5yZqou7EZymYpEFsa096qosXjIMvlvGs/PT+fxoHSkaFQ02F+bT/6Xp1BEHn00D1t3l9Wg1KuqsLjburmRwnpHeJn2rz28e6Lo8Hg5VWbhv5VdcfW7vuJpm2DSbar4xhXqbK5CltCMBXfP6uNbijLjTTySXkMHc5MmTg36fMWMGN998c5cVSIh4Fm6mr3B09xSa7lj43fwcKRoVaac3wm4ta2Tz9+tvpE41Oth7sgGVSoVOrcbh9nC4upHemfoWazSalr/pNZ0wPD8QdLRXxpMNDsYMymZgrpFqi53Pj9YBcLDSQopW02oCkAa7G6+ihD2tp72RzuY3JQNzjfRK92UA9V+PpnvWhQqiumIULV4SWcQjaSMTSyJNL43FiHhbe9QZdOrAXqa5RgPfG5BFaVk9qJRAUPzKv4+QbQy+rQwVVDQNWKsb7NRZXWg1KlDA7vKw92QDVpen/eedrrdTTj+vu6YZhtsZ68+meibIVQceDzeYa36uicPz2F/RSFmdrUOdfj1VsmYBDRnMNXfkyBFqamq6oixCJIRQmb78Qk2riMUUmu64kfGfY0+5mac/2E+1xYHD7aG20UmKRhPIGtnWRtz+tWMeL2QbdZydl86Xx82k6uBgZWOgwWrtJiHca9r0Ojzw5leBmwL/TcqBCgsVDQ6KT9+ktPa6A3LSyUzVtbkWsKn2vgvt9b53JIjqqlG0RLoJjqVotJEbN27kscceo7a2ljvvvJPhw4fzyiuvRKmEIlHEYkS8rT3qbhzdl1PWM3uZ6jQaivKMQQFTR4LPps9xuL2oVSpUqEjRqTDoNDjcXsw2NxB8I36s1orT5WFQnjForXNGqi9oOtXYtQlBIumM9WdTbSpDr6Gi3t7hc23aUxU4l/94e51+yRrERCKZs4CGDOYuvPBCVE2mHOXl5fHAAw90aaGESHThTKtI1o1E/Y3Gu1+VBe0z59uiwMXXZWauGhYckDVvaEwGLWMGZQfWzhkNjVSYrRyotLD3ZD3pei1D8o1c0K9X0Lk7ck2b34DkGg3oNBqKmwRqnUkAEuq7EOoGKNIgSkbRuldXtJGTJk1i0qRJnS2aSHCx+Lfc3h51Tetpq8PF0VobP1r+RaCDqiPBZ9Pn6NQqGr0Kbq9CodGA3eUBxbe9TPMbcZfbwxfH6gAw25zoNWocHoURZ5mottj58ngd9TY3DTYXByoa2HWijp9PGRq1axdJZ6w/m6p/RA6gweGhwBTcpnT0XJFM5U+2ICYSyZyVOWQwt3Pnzu4ohxBJJZxpFcm4QXPTRqPB7katgmqLkxStmtQUDXanh3Lzmd7IthbNnzjl27R7UJ5v0+4UNZw4ZUd7etqm1eHhsyO1FA8O3oC8Iz3DzW9AjtU0sq/CQt9eqYF97joz3SnUd6Eret9lFK37SBspulIs/i23tUedvyxtdVAtnjo04uCzaSCSpteh06rRazV4FdDrNAzITmNQnpENpRV4vV72lNdTb3dhMugYnJfOyQYHapUaVCou6p9JXoaBzXsqOGV1YdCpyTid1fhYjZW/bTvKb2efH5VrFEnHYSCbKr4RuQaHh0aHm3uuCm8LknDOFclU/mQKYiKRrB3oACFT8M2fPz+sx4QQZ1TU28lotoi8+bSKKSMLAgvHvYoS+HlIQXpgykTTXrQ95eZ2z7mn3MwzG/fzwJtf8czG/SH/viteq3mjodWo0KpV1DY6yU5LwauA26MEvV8VBJ7jz8Q1tMDI/gpL4Nrsr7Sg16oxGXS4vJCu15Bv1LN5b3A2wCkjCzhea+WjfZV88E05H+2r5HitNZDJsjX+m4nMVB17T9az76SFIflGhvcxBa79kIL0Vj+r9l7XL9R3oen5y812MlN1Pa7HNJFJGym6Ukfr4vd2lTFnyTbG/9+HzFmyjfd2lUXtnE07qNRqX9KTdL2WZduOMbxPJosmDeHpGy4Ie885/3N+P+d8+vZKQ6NWoSgKDpeHBoebKSML2F1uZu/JBuwuDxl6316cvvpSy+/nnE9RnpEUrQavonDilA21SkV+hgGVyjdd06jXsPN4XdjXIJTCrFQa7O6gx9rq4Jt+fiGLpw7FlKqj0uLElKpj8dShYa+Xi+RcrSmrswWS1/glSxATic5ex3jW5sicw+HAZrNx6tQpzGYziqIAYLFYqKio6LYCCpGIwplWEc0NmqM5jaIzr9W056vAZOB4TSNuRcHt8eL2eNFrVeRmGCg32wPvt7VF8/1z0rG6fHsaldXZAnvFZaSeWXfg9XpbXXPgPV1XqVAF/d4ef6/mMxv3U5iV1uLa769oDKvHubUR1XC/CxK8JRZpI0VX62hd3JnsieGcs701YJ2dVeKfWq+gBP1utrkDgRkQtJ6ueVuq1ajodTrA9FM40yZEQ6QzKvzZVLvjXM3J1jI+yZyVuc1g7h//+AfLli2jsrKS2bNnBxoqo9HILbfc0m0FFCIRhTutIlobNEdzGkVnXqtpozEgO5XDVRY8CmjUatxe0Krhx1cWBTVqbTU0557urQWYs8RKfbOslK2tOdhQWsGAnHTO75sVeMxsc7Wa9bK1G45QyUjae/9t3QRNGJbL8k+O+16rA1NsRHySNlJ0tY7WxZ3JnhjOOdvqoMrQazvVqbihtIL0FA0NOg0uj4JepyE9RcOG0gpMBt8enL797dQ43N7AejoIbkt/uWoX2w7VBv2txeGhuCi7vdNHpDvXM3b2XMkcxEQimdeTtxnMzZ8/n/nz5/O3v/2NefPmRfWk69ev509/+hPffvstb775JuedF3ladyHimb/BbJrB8J6rBrdoSFsLKjrSixbNueCdea2mjUa1xUl+hp4Gh4fMVC25GQZ6Z+jZX9HI9Dae01ZDE25wHE7Z2+t57kwPZls3QVanwuKpQ0N+F0Ri6co2UgjoeF3cmeyJ4Zyzrfr4vLNMnepU/OY7MwcrLdicbtxehRqLisp6O1aXhxFnZZKm03CywYHF7sZo0AbW0zV3S/EADlRaOFLTiN3lwaDTMDAnnVuKB4QsQyS6c0ZFZ86VzEFMpJJ1FkybwdyuXbvo06dPoJFavXo1H3zwAYWFhdx9991kZWV1+KRDhgzh+eef5+GHH+7wawgR70JNq2grqJg4PI9Ne6qA8HvRojmNojOv1bTRqGhwUGAyMDbfSF6G7+bAqygtbkTCaWjCDY4Ls1I5Um3hZL0jsEi+t0nPwNwzDX57Pc+d6cFs7yZo0aQhErwlma5sI4WAjtfFncmeGM4526qPP9xX3am1WRVmOzUWJ2kpGvRaNR6vQo3FSYbezv1XD+GlrVbO7WMKqpvbWrecrtfSJzMVp9tLilYdNOWyJ0rWIEb4tPntfvjhh3nttdcA2L59O08//TS//vWv2bNnDw899BDPPfdch086eLBMLxKiraAi3PVZTUVzGkVnX6tpo3G4ysLBqka+PG7GaNDSO0Pfak9qOA1NOGsOhhSks+qLE6TrtWTofRt+f1dn4+oRZxr8aO/r5ifrEnqWrmwjhYCO18WdyZ4Y7jlbq4/3VzRyuMoSNHrWVp3fmkanG02zZW0ale/xSOrmcKfbC5Es2gzmPB5PoGfx/fff57/+67+YPHkykydPZtasWd1VPiGSVmfWZzUXzWkU0Xqt5oFVvc1FeZ2NyWFkgGzNo2u/ZuWOMuwuLwadmjkXF7bYvH1/RSMX9ssK3EyYUnUMyTcGTe3sqi0hZF1CzyJtpOhqHa2Lw53JEM1zQufrfL1OQ55JT6PTExhRy0vVo9WoA2ULpxzJnIJeiNa0Gcx5vV7cbjdarZZt27bx2GOPBY55PJ6QL7xgwQKqq6tbPL5w4UImTpzYweIKEXvR2gMu2iM50ZxGEY3X2l/RyEX9swJTHs9sORC8Zg5gyZYDQZvUzi/uH7TP0aNrv2bZx8fQqFXoNeB0e1n28TGAoICurM7GgNz0oJ7g5lM72wq6Rg/M4qWth/F6vZSb7ew8dooPvjnZLTdBIvF0to0UIhwdrYs7kz2xo+eMpM5vzYX9svj0UC15Rv2ZxCV2NxcOzAJ8WTqbBqjzi/u3+h4Ls1I7NUIooidR98xNNG0Gc9OnT+eWW26hV69eGAwGLr74YgCOHj2K0Rj6H8TSpUujVkgh4kU0twCI55GcaFTAZXU2+uekB61Xa23N3JItB/jj5oOkaDSY9BqsDg9/3HwQIBDQrdxR5gvktL4eWr0aHG4vK3eUBQVz4QTI7W0J4fV62Vfh29MuJz2Ferub5zd/S1GeMez9kqSh6hk620YKEa/CDZqaC7fOb8u84gGUm+3UNjppsLtJ0arpn5PGvOIBEW23EO1ZIR3V0wOZaN4vifa1GczdddddFBcXU1VVxWWXXYbq9F4fXq+XX//6191WQCHiSTS3AIjXkZxoVcCFWal8dfwU+ystNDrcpOu1DMk3ckG/XkF/t2zbMVI0GtJPb6ydrgccvsf9wZzd5aXZvtvo1L7HmwoVIPsb12++M1Nvd5OZqg0EemV1NsrNdvRaNQadBqvTTb3NSYPdw8Pv7uaRmefG/LMR8UPaSJGMOrNHXWdnmwzvk8nPpwxtNQB6+N3dYW+30NkRwmiQQCa690uife2m9xk1alSLxwYNGtTpk27cuJHHHnuM2tpa7rzzToYPH84rr7zS6dcVoqtFey5+PI7kRKsCTktR8dmRWlI0GtJ0aqwOD58dqaV4cPBeP2abC1OzSC1Vp8LcZF85g06N0+1FfyY5Gy6v7/HmvZ8Th+exv6KxRYDsb1w9Hi8HKy1Y7G4cbg9Hq62UlpkpMOmpaXSSk56C1enmaI0Vl8cXLB442cDvNuzj51OGxt3nJWKnq9pIIWKlM3vURWO2SVttYiTbLXR2hDAaJJCRtYvdKSa5WidNmsSkSZNicWohOqUnZCyMVgW8eW81+UY9Lq+Cw+0lXa8hS61l897qoPVwmak6rA6Pb0TuNJtLCbrGcy4uZNnHx3C4vejUvkDO41WYMCy3Re/npj1VrfZ++hvXz4/WUmd1odeqSUvxZbxsLK/naI2GaouDOqsLt8eNw6WACtJ0GnRaFcdqrPxt21F+O/v8iK6DEEIkis7sUReN2SZtTU2MZLuFeGinJZCJj8+hp+jZG28IEaF4XucWLdGqgCvq7eRn6FGrzzS+Xq+3xU3B/OL+vjVyDt+InM2l4PR4uKv4zAiHf11c02yWE4blUl7votbSSLYxhbPz0snLMFBrcfDwu7vpn50WdDPgb1zLzXZSNCq0GhWKoqLR6UaFCqvLw9iibLYdOkW93UuKFtJTdKhUKvIzDGhUsPN4XUTXIFZrJnr6Wg0hRMd0Zo866Nxsk/amJkay3UI8tNMSyMTH59BcsraN6tB/IoTw8/c8ZqbqKDfbyUzVJd0c+CkjCzDbXJhtLryKEvi5rc1Z21JgMtDgCM7q19pNwZ3jz+GnE84mTa+h3uEhTa/hpxPODhq9A19AV/rIFA7+dhpv/qgYtVpLjcVBrzQtDpeHL47Vsf9kPfsrLNRYHEE3A3vKzRRmpdJgd/te7PReRh6vgseroCgKdpeHI7U2+vVKRadRASoMKRr6ZBpI12tRABXNNkFqh//GxGxztShLV4rVeYUQiW9+cX8aHb6bbq/X65u54HAzv7h/l5+76dREtUoV+HlDaQXTzy9k8dShmFJ1VFqcmFJ1LJ46tNWpn8P7ZDJxeB67y+t596vv2F1ez8Thed3aTkerHU1k8Xa/lMxto4zMCRGheFznFk3RSswSSU/qnePPaRG8Ndd0+wIVMKy3kVyjHrvLg0HnW3P3VZkZk0FHrlEfuBkA302Cv5ewV5qOqgYnXq8Xr6KgKNDocmMy6MjQa3G4vaTq1Li8BFJk210eLA4PxUXZ7ZQwWKzWTMhaDSFER3Vmj7rOCjU1MdztFvaUm9m0p4pz+5gYMyibBrubTXuqws5KHA3xmuCsu8XT/VIyt40SzAkhWohGBRzNm4Lm2xfUNLrYeczMeX1NONwKACkaFQ02Nxl6LWfnpwee23Qj9jvGDWL5tqOsLy3H5vKgUqlwuj1o1SoKe6WiUqkw6DRkp+upttgpN9sCweLAnHRuKR4QdpljtWZC1moIITqjM3vUdUaoqYnhbpkQLzft8RTIiORuGyWYEyJJdHRvoK4UrZuC5tsX+DeUPVjZyKxRZ3GwspFqi4OMVC3DemeQazxTYTe9GRjeJ5Nbigdwst5BtcWBw+2h7JQNrwIOl5dUnS9ZiwLoNGr6ZKbidHtJ0apJ10dWXcZqzYSs1RBCdEas1hW1t8Yqki0TkvmmXXRcMreNEswJkQSaNnTpKWoOVVr42Vtf895X5dwz8ZyYzlGPxk1B8+0LDDo1bq8Xu8tDdrqe4X18WSknDs9j054qzDZXmwuuN5RW0C87jZGFvnJ8cqiGCrMNi9ONVqPGaNCic7rpl53OlUPzg8oQSc9uOIu/u+KmKR4XnQshEkMs90drb2piJPvMJcNNe7Im6oilZG4bJZgTIgn49wbSqlWUmx1o1SpSdWo+P1YXs41Ko3lT0Hz7ghStBo3Ti0YH24/UcqzWitfr20dowrBcrE6lzXUKZXU2LHYnG3fXY3G40WvUqNVg1KcwYXg+DXY3/9xbyeA8PdsO1WCxuzEatBTlpmFxuMMuc6g1E11109TdazXicURYCNExsZ6iGI195hL9pl02HO8aybyOUYI5IZKAv6ErM9vRqn1p99UqNVaXJ5ANrLsrrGjeFLS2fYEXhUnD8vjiWP3p5CUa6m0uln9ynMVTh7Jo0pBWX8tqd/HvgzUYtBrSdBpcHgWLzU16ipZys53CrFRG9slgX4UFo0GLUa/B4fKw/fApxkSQAAXaXzPRlTdN3bVWI5KpT0KI+BevUxQj2TIh0W/aYx1QJ7NkXccowZwQScDf0DndXlI0vsbO5VEw6rUxa4ijeVPgz3Tpz2aZmarjruJBbN5b3WLqjcPl4fH39/LhvupWp6ccO2VDjQqNWoVKpUKjBq1aTWqKlqdvuACAX67ahdKsDL6tCaInXm+aIuEfEQ5n6pMQIv7F6xTFSLIjQ2LftCdD25Bs4n3aq+wzJ0QS8O8NhAJujweHy4vT4+WCvpkxa4iD9nU7rTNluXP8OXy8eALfPDKFjxdP4M7x51BRbyejyVo6//5IDTZ3m/vINDjc9M02oNGocHq8aDQqMgwaDlRaGP9/HzJnyTa+rW5kTFEvDDoNDQ43Bp2GMUW9cHiah3gdF+3rEwvNrz+0PfVJCBH/4nV/tEj2mUt0ydA2JJNE2J9ORuaESAL+Bu3Fjw5xuLoRo17L2IHZ5JtSY7ZWINrrFlrrGWs+9abW6sSrgClV22KfOX8vmv85/XqlAVBjcXCkphGdRh2YKvhdnQ2DVs2lRTmB85ttLvIzdERLoq/rgMimPgkh4l88T1GM1ZYJ3S0Z2oZkkgjTXiWYEyJJ+Bu6pkFPZqouZg1xNG8K2loQPmFYLss/OQ74RoQsdjcoChf0PbO2rfn0lObTdcrqbKhQcVamAbVaTWaqGrvTzddl9QzMNXZZYxrPN03hinTqkxAi/iXyFMVkkAxtQzJJhGmvEswJkWTiqSEOtyyhMiK21TNmdSosnjo08FyjQUufjBSqG10c2V2B0aCld4aeQXnGwGs138zcqyj07WUgN+NMZZ2Xocfu9gXDXdmYxtNn1RHR3BheCCGiJd7XOIWS6G1DMonXdaRNSTAnhOgy4TSo4WREbK9nbNGkIYG/O/NaSiC7ZXmdjcnN1ns0na4zZ8k26m2uoOMNDg+5Rn30LkQbEv2GA3rO1Kfu9NRTT/Hhhx+i0+no378/TzzxBCaTKdbFEiIhSGp/EU2JMO1VEqAIIbpEuIuGm2ZE9E1z1JGu17Js27HA34S7IHx/RSMX9c8iM1WHxenbluGi/lnsr2hss5z+5DFmmwuv14vZ5uKU1UlaiqZLFzwnwqJqERuXXXYZ69atY+3atQwcOJAlS5bEukhCJIymMzn8a6f9W/Qkij3lZp7ZuJ8H3vyKZzbul3YhhvzTXjNTdZSb7WSm6uKuY0BG5oQQXSLcRcPhbAYbbs9YWZ2N/jnpDMw9M63Sqygt5rY3HxG75dJ+bN5bHZgqWJSTRn5mapcueE6ERdUiNi6//PLAz6NGjWLDhg0xLI0QiSUR1ji1J5lGFpNh9gnE/7RXCeaEEF0i3AY1nIyI4S4ID2due2sN5bFaF4/MPDfweg+8+RUZhuDqMdo3A4l+wyG6x9tvv83UqVPbPP7WW2+RlZUV+H3EiBGMHj0al8vFihUrWvz9qFGjGDVqFFarlZUrV7Y4fvHFFzNy5EjMZjPvvPNOi+PFxcUMHTqU6upq1q1b1+L4uHHjKCoq4uTJk60GoRMmTKBfv34cP36czZs3tzg+ZcoUevfuzaFDh9i6dWuL4zNmzCA3N5d9+/axbdu2FsevvfZaMjMzKS0tZceOHS2Oz5kzh7S0NL788ku+/PLLFsfnzp2LTqdj+/btfPPNNy2OL1iwAICPP/6Y/fv3Bx3T6XTMnTsXgC1btnD48OGg42lpacyZMweATZs2ceLEiaDjJpOJ2bNnA7BhwwZOnjwZdDwnJ4eSkhIA1q5dS01NTdDx3r17M2XKFABWrVpFfX190PG+ffsyceJEAFauXInVag06PmjQIMaPHw/AihUrcLmCp58PGTKEsWPHArB06VKai5fvXm+dnYav/41WfaZNcXu9FAwcBRD33713N/6bzKojaNVqbPhu1DO9XjaUpjG8T2bCfPesTjfldXY0GhXZpjzM+hG8tPUwI+zfoFWCv1vJ8t3rqnrve9/7XovHmpJgTgjRJcJdNBxuRsRwesbCGcFrbUTsSLWF25ftQKdRU2AykJuuo8Gu7dIFz4mwqFp0nQULFlBdXd3i8YULFwZuuF988UU0Gg0zZ87s7uIJkbDGDs5m/X4F8KJRq/B4FTwehUuLskM+Nx7U2ZykqVVBj2nUqoTr6KttdKHRqNCq1ahUZ2afVFTaKczQhHi2iIRKUZTo7YIbRSdOnGDChAls3ryZvn3jZ5GhECI8TUfAmgZWrU0VCZXNMty/8Z+3vWkdD7z5FX0yDahVvsbyQEU9/zpQjVqtYki+kQaHh1ONDgbkpHPuWZkhy94d16cnkDo/2KpVq3jjjTdYunQpqaktA3y5XkK0LZGn9z2zcX+Ljj7/74smDYlhySLTvK0F37KHcrOdp2+4IIYlSzyh6nsZmRNCdIlI9soJlRExnIyXTc/bXqPdfETsyxNmNGo16XpNYJ85gMbTCVS6amsC2UtItGXr1q28/PLLLF++vNVATgjRvnhf49SeRMieGA6ZfdJ9JJgTQnSZaDWoTTNeAoGAa9m2YxGnxW/RUNpcpGjV9Eo7k4QlQ6+h0uLs8l7QeLnhSORe7GT02GOP4XQ6ue222wC44IILePTRR2NcKiFEd0iWjr5kCUoTgQRzQoi4F07Gy3A1bygzUnWkqFWk689Uh80TsCSzZMqcliw2btwY6yIIIWIoXjr6OiNZgtJEIMGcECLuhZPxMhJNG0r/FE6zzdVuApZkJVskCCGE6ArJEJQmAtk0XAgR91rb2LvR4WZ+cf9Ov/b08wtZPHUoplQdlRYnplQdi6cOjXj6ZqIqq7N1+TYMQgghhOgaMjInhIh7/sCqaTbLe64aHLWAq7UELD1lHZksUhdCiMj1lDZCxD8J5oQQCSFUxsto6knryGSRuhBCRKYntREi/kkwJ4RICN3ZC9qT1pHJInUhhIhMT2ojRPyTYE4IEfe6uxe0rM5Gn8zg5CrJvI5MFqkLIUT4elobIeKbJEARQsS9pr2gapUq8POG0oouOV9hVioNdnfQY7KOTAghBEgbIeKLBHNCiLjX3RkXp4wswGxz+bJnKkrg5ykjC7rkfEIIIRKHtBEinsg0SyFE3OvujIsdXUcm2c2EECL5yVpjEU9iEsw99dRTfPjhh+h0Ovr3788TTzyByWSKRVGEEAkgFhkXI11HJtnNhBCi55C1xiJexGSa5WWXXca6detYu3YtAwcOZMmSJbEohhAiQfh7QTNTdZSb7WSm6uIuSOrudX1CCCGEEDEZmbv88ssDP48aNYoNGza0+bdvvfUWWVlZgd9HjBjB6NGjcblcrFixosXfjxo1ilGjRmG1Wlm5cmWL4xdffDEjR47EbDbzzjvvtDheXFzM0KFDqa6uZt26dS2Ojxs3jqKiIk6ePNlquSdMmEC/fv04fvw4mzdvbnF8ypQp9O7dm0OHDrF169YWx2fMmEFubi779u1j27ZtLY5fe+21ZGZmUlpayo4dO1ocnzNnDmlpaXz55Zd8+eWXLY7PnTsXnU7H9u3b+eabb1ocX7BgAQAff/wx+/fvDzqm0+mYO3cuAFu2bOHw4cNBx9PS0pgzZw4AmzZt4sSJE0HHTSYTs2fPBmDDhg2cPHky6HhOTg4lJSUArF27lpqamqDjvXv3ZsqUKQCsWrWK+vr6oON9+/Zl4sSJAKxcuRKr1Rp0fNCgQYwfPx6AFStW4HK5go4PGTKEsWPHArB06VKak+9e7L97w/tknv7u7eTTMvj09PF4+O6V1eXRJ9OAde+/UNxOADQo1Lq9bEkpl+9eiO+eEEIIISIX8wQob7/9NuPGjYt1MYQQolNay27m8SrotZoYlUgIIYQQyU6lKIrSFS+8YMECqqurWzy+cOHCwOjJiy++SGlpKX/6059QqVRBf3fixAkmTJjA5s2b6du369bFCCFENDRdM9d0XV+8TQeNV1LnR0aulxBC9Ayh6vsum2bZ2lShplatWsVHH33E0qVLWwRyQgiRaCS7mRBCCCG6W0zWzG3dupWXX36Z5cuXk5oqGywKIZKDZDcTQgghRHeKSTD32GOP4XQ6ue222wC44IILePTRR2NRFCGEEEIIIYRISDEJ5jZu3BiL0wohhBBCCCFE0oh5NkshhBBCCCGEEJGLycicEEIIIYQQQiSr93aVsWzbMSrq7RSYDMwv7s/08wujfh4J5oQQQgghhBAiSt7bVcaT6/eRrteSb0yh3ubiyfX7AKIe0EkwJ4QQQgghhEhYe8rNQVsDTRlZENPs0su2HSNdryUzVQdAZqo68Hi0gzlZMyeEEEIIIYRISHvKzby09TBmm4s+mQbMNhcvbT3MnnJzzMpUUW8nQ68JeixDr6Gi3h71c0kwJ4QQQgghhEhIG0oryEzVkZmqQ61SBX7eUFoRszIVmAw0ODxBjzU4PBSYDFE/lwRzQgghhBBCiIRUVmcjwxC8cizDoKWszhajEsH84v40OtyYbS68Xi9mm4tGh5v5xf2jfi5ZMyeEEEIIIYRISIVZqZhtrsD6NIAGu5vCrNSYlcm/Lq5pNst7rhos2SyFEEIIIYQQwm/KyAJe2noY8I3INdh9I2L/NbpvTMs1/fzCLgnempNgTgghhIgjzz77LJs3b0atVpOTk8MTTzxBQUFBrIslhBBxaXifTO4YNygom+V/je4b02yW3UmCOSGEECKO/PCHP2ThwoUAvP7667zwwgs8+uijsS2UEELEseF9MntM8NacJEARQggh4ojRaAz8bLPZUKlUMSyNEEKIeCYjc0IIIUSceeaZZ1i9ejUZGRm8/vrrsS6OEEKIOCXBnBBCCNHNFixYQHV1dYvHFy5cyMSJE1m0aBGLFi1iyZIlLF++nHvvvTcGpRRCCBHvJJgTQgghutnSpUvD+ruSkhLuuOMOCeaEEEK0StbMCSGEEHHkyJEjgZ83b95MUVFR7AojhBAirsnInBBCCBFHfv/733P48GFUKhWFhYU88sgjsS6SEEKIOCXBnBBCCBFHnn/++VgXQQghRIKQaZZCCCGEEELEoQcffJDi4mJmzJgReOz555/niiuuYNasWcyaNYstW7YAsGvXrsBjM2fOZOPGjbEqtuhGEswJIYQQImpefPFFpk+fTklJCbNmzeKrr74CfElfbDZbq89ZtWpVl2+M/t///d/U19e3ePz555/nlVde6dBrnjhxIugmO5S//OUvHX5uuDryfi688MJWH1+8eDEbNmyIRrFEB82ePZuXX365xeMLFixgzZo1rFmzhvHjxwNwzjnn8Pbbb7NmzRpefvllHnroIdxud3cXWXQzCeaEEEIIERU7d+7ko48+4p133mHt2rW89tpr9O7dG4DXX3+9zWAuUh25Qf3rX/+KyWSKyvk7asmSJRE/R27Ge7bRo0eTmZkZ1t+mpqai1fpWUDkcDlQqVVcWTcQJCeaEEEIIERVVVVX06tWLlJQUALKzsykoKOD111+nsrKS+fPnM2/ePADefvttJk+ezPXXX88XX3wR8rU//fRTbr75Zn70ox8xffp0PB4PTz31FNdddx0lJSX84x//AKCyspK5c+cya9YsZsyYwY4dOwC46qqrqK2tBXyjh5MnT+amm27i8OHDgXPMmzePr7/+GoDa2lquuuoqwDeKdvPNN3Pttddy7bXXtlreAwcOcP311zNr1ixKSkqCspICPP3009jtdmbNmsX9998PgMfj4Ve/+hXTp0/nBz/4AXa7PVCOxx9/nNmzZ/P6669TWlrKLbfcwuzZs7n99tuprKwEfAHytGnTKCkpYdGiRYFzHTx4kHnz5jFhwoSgTedfe+01ZsyYwYwZM1rdHkNRFB599FEmT57MggULqKmpCfm5iNhYsWIFJSUlPPjgg5jN5sDjX331FdOnT2fmzJk88sgjgeBOJC/5hIUQIkbe21XGsm3HqKi3U2AyML+4P9PPL4x1sUQSae2GfcSIEYwePRqXy8WKFStaHB81ahSjRo3CarWycuXKoGMLFixo93yXXXYZL7zwApMnT6a4uJhp06ZxySWXcOutt7J06VKWLVtGdnY2lZWVPP/886xatQqj0citt97KueeeG/L97N69m7Vr19KvXz/eeOMNMjIyePvtt3E6ndx4441cdtllbNy4kcsvv5y77roLj8fTYjSwtLSU999/n9WrV+PxeLj22msZMWJEu+fNycnhtddeQ6/Xc+TIEe677z5WrVoV9Df/+Mc/uPXWW5k5cyZOpxOv1xt0/IEHHmDFihWsWbMG8AWIR48e5Q9/+AO/+c1v+OlPf8oHH3zArFmzAHC5XKxatQqXy8W8efP485//THZ2Nu+//z7PPPMMTzzxBC+99BL//Oc/SUlJCZpCevjwYV5//XUsFgtTp07lpptuYt++faxatYqVK1eiKApz5szhkksuCbruGzdu5PDhw7z//vtUV1czffp0rrvuupCfi4iu5m1DyeCUoOM33XQTP/7xj1GpVPzxj3/kySef5IknngDgggsu4L333uPbb7/lF7/4BePGjUOv18fibYhuIsGcEELEwHu7ynhy/T7S9VryjSnU21w8uX4fgAR0ImGlp6ezatUqduzYwaeffsqiRYu4//77mT17dtDf7dq1i0suuYTs7GwApk2b1mIkqzXnnXce/fr1A+A///kP+/bt44MPPgCgoaGBo0ePct555/E///M/uN1uJk6cyPDhw4NeY8eOHUycOJHU1FSAwOhbe9xuN48++ih79+5FrVa3WtZRo0bxl7/8hZMnT3L11VczcODAkK/bt2/fQPlGjBhBWVlZ4Ni0adMAX2C2f/9+brvtNgC8Xi95eXkADB06lAceeIAJEyYwceLEwHPHjx9PSkoK2dnZZGdnU1NTw+eff87EiRNJS0sDYNKkSezYsSMomNu+fTvTp09Ho9FQUFDApZdeGvI9iOhqrW148aMT6OyuwN/k5uYGfr7hhhv40Y9+1OJ1Bg8eTFpaGvv37+e8887rlrKL2JBgTgghYmDZtmOk67VkpuoAyExVBx6XYE5ES3sjaTqdrt3jaWlpIUfiWqPRaBgzZgxjxoxhyJAhrF69ukUw11H+QAR8UwJ/9atfccUVV7T4u+XLl7NlyxYWL17MbbfdxjXXXBN22RVFAcDpdAYeX7p0Kbm5uaxZswav18v555/f4rklJSVccMEFfPTRR9xxxx088sgjFBcXt3s+/3RU/7kdDkfgd3+wqSgK55xzDm+88UaL57/00kts376dDz/8kL/85S+sXbu21deVdXeJo7W2wZWiodp6JpirrKwkPz8fgE2bNnHOOecAcPz4cfr06YNWq6WsrIxDhw5RWCjtSbKTNXNCCBEDFfV2MvSaoMcy9Boq6u0xKpEQnXfo0KGgUas9e/Zw1llnAb5Ru8bGRgDOP/98tm/fzqlTp3C5XB3KmHj55Zfz97//HZfLd5N7+PBhrFYrZWVl5ObmMmfOHG644Qa++eaboOeNHj2aTZs2YbfbsVgsfPjhh4FjhYWFlJaWAgSVqaGhgby8PNRqNWvWrMHj8bQoz/Hjx+nXrx+33norEyZMYN++fS3+RqvVBsobrkGDBlFbW8vOnTsB3/TLAwcO4PV6KS8v59JLL+WBBx6goaEBq9Xa5utcfPHFbNq0CZvNhtVqZdOmTVx88cUtrs369evxeDxUVlby6aefRlRW0XnN24Yj773IyXeexF5bzrhx43jzzTf5v//7P0pKSigpKeGTTz7hwQcfBODzzz8PbE1w991387//+7+B0W+RvGRkTgghYqDAZKDe5gqMyAE0ODwUmAwxLJUQnWO1WvnNb35DfX09Go2GAQMGBLYcmDNnDj/84Q/Jz8/nb3/7G3fffTc33ngjGRkZQVMhN2/eTGlpKT/96U/bPdcNN9xAWVkZs2fPRlEUevXqxZ///Gc+++wzXnnlFbRaLWlpaTz11FNBzxsxYgTTpk1j1qxZZGdnB01B+8EPfsDChQtZuXJlIN07wM0338w999zD6tWrueKKK4JGCP3Wr1/PmjVr0Gq15Obmcuedd7b4mzlz5jBz5kzOPffcoIQl7UlJSeG5557jN7/5DQ0NDXg8HubPn8/AgQP52c9+hsViQVEUbr311nazdY4YMYLZs2dzww03AHD99de3WKc4adIkPvnkE6ZNm8ZZZ53FqFGjwiqjiJ7mbcPA6XdhtrkwpepYeadvpNf/GTZ3zTXXhD0KLZKHSvHPJ4gzJ06cYMKECWzevJm+ffvGujhCCBFVTddFZOg1NDg8NDrcLJ46tEdOs5Q6PzJyvYRITtI2iOZC1fcyMieEEDHgb5SbZiy756rB0lgLIUQPJm2DiJQEc0IIESPTzy+UBloIIUQQaRtEJCQBihBCCCGEEEIkoJiMzD377LNs3rwZtVpNTk4OTzzxBAUFBbEoihBCCCGEEEIkpJiMzP3whz9k7dq1rFmzhiuvvJIXXnghFsUQQgghhBBCiIQVk2DOaDQGfrbZbKhUqlgUQwghhBBCCCESVswSoDzzzDOsXr2ajIwMXn/99VgVQwghhBBCCCESUpcFcwsWLKC6urrF4wsXLmTixIksWrSIRYsWsWTJEpYvX869997bVUURQgghhBBCiKTTZcHc0qVLw/q7kpIS7rjjjhbBnMfjAeDkyZPRLpoQQog446/r/XW/aJ+0kUII0TOEah9jMs3yyJEjDBw4EIDNmzdTVFTU4m+qqqoAmDt3bncWTQghRAxVVVUxYMCAWBcj7kkbKYQQPUtb7aNKURSluwtzzz33cPjwYVQqFYWFhTzyyCMttiaw2+2UlpaSl5eHRqPp7iIKIYToRh6Ph6qqKkaOHInBYIh1ceKetJFCCNEzhGofYxLMCSGEEEIIIYTonJhsTSCEEEIIIYQQonNitjVBorjqqqtIT09HrVaj0WhYtWpVrIsUNQ8++CAfffQROTk5rFu3DoC6ujoWLVpEWVkZhYWFPPvss2RmZsa4pNHR2vt9/vnnWblyJdnZ2QDcd999jB8/PpbFjIry8nJ+/vOfU1NTg0qlYs6cOcyfPz9pP9+23m8yfr4Oh4O5c+fidDrxeDxMnjyZe++9l+PHj3PfffdRV1fHiBEj+N3vfkdKSkqsiysE0LPq33D0tDo6lJ5Uh4dL6vpgbV2PxYsX89lnn5GRkQHAk08+yfDhw2Nc2m6miHZ9//vfV2pqamJdjC7x2WefKaWlpcr06dMDjz311FPKkiVLFEVRlCVLlii/+93vYlW8qGvt/T733HPKyy+/HMNSdY2KigqltLRUURRFaWhoUK6++mrlwIEDSfv5tvV+k/Hz9Xq9isViURRFUZxOp3L99dcrO3fuVO69915l3bp1iqIoyq9//WtlxYoVsSymEEF6Uv0bjp5WR4fSk+rwcEldH6yt6/GLX/xCWb9+fYxLF1syzbIHGz16dIsev82bN3PNNdcAcM0117Bp06YYlKxrtPZ+k1V+fj4jRowAwGg0UlRUREVFRdJ+vm2932SkUqlIT08HwO1243a7UalUfPLJJ0yePBmAa6+9ls2bN8eymEIE6Un1bzh6Wh0dSk+qw8MldX2wtq6HkDVzYbn99tuZPXs2b7zxRqyL0uVqamrIz88HIC8vj5qamhiXqOutWLGCkpISHnzwQcxmc6yLE3UnTpxgz549XHDBBT3i8236fiE5P1+Px8OsWbMYO3YsY8eOpV+/fphMJrRa38z53r179/gbIZEYkvHfZ6R6Wh0dSk+ow8MldX2w5tfD/x155plnKCkp4be//S1OpzPGpex+EsyF8Pe//5133nmHv/71r6xYsYLt27fHukjdRqVSJX2vx0033cTGjRtZs2YN+fn5PPnkk7EuUlQ1NjZy77338j//8z8YjcagY8n4+TZ/v8n6+Wo0GtasWcOWLVvYtWsXhw4dinWRhIhYsv77jERPq6ND6Sl1eLikrg/W/Hrs37+f++67jw0bNvD2229jNpt56aWXYl3MbifBXAj+/e9ycnKYNGkSu3btinGJulZOTg6VlZUAVFZWBhYdJ6vc3Fw0Gg1qtZobbriBr7/+OtZFihqXy8W9995LSUkJV199NZDcn29r7zeZP18Ak8nEmDFj+PLLL6mvr8ftdgNw8uTJFnt3ChFvkv3fZyg9rY4OpSfW4eGSuj6Y/3r861//Ij8/H5VKRUpKCrNnz+6R3xEJ5tphtVqxWCyBn//zn/9wzjnnxLhUXeuqq65i9erVAKxevZoJEybEtkBdzN9oAmzatClpPl9FUfjlL39JUVERt912W+DxZP1823q/yfj51tbWUl9fD/g2jv74448ZPHgwY8aM4YMPPgDgnXfe4aqrroplMYUIKRn/fYarp9XRofSkOjxcUtcHa+16FBUVBb4jiqL0uO+In2wa3o7jx4/zk5/8BPDN050xYwZ33XVXjEsVPffddx+fffYZp06dIicnh3vuuYeJEyeycOFCysvLOeuss3j22WfJysqKdVGjorX3+9lnn7F3714ACgsLefTRRwPrFRLZjh07mDt3LkOGDEGt9vXZ3HfffZx//vlJ+fm29X7XrVuXdJ/v3r17Wbx4MR6PB0VRmDJlCnfffTfHjx9n0aJFmM1mhg8fztNPP90j0lWLxNCT6t9w9LQ6OpSeVIeHS+r6YG1dj1tvvZVTp06hKArDhg3jkUceCSRK6SkkmBNCCCGEEEKIBCTTLIUQQgghhBAiAUkwJ4QQQgghhBAJSII5IYQQQgghhEhAEswJIYQQQgghRAKSYE4IIYQQQgghEpAEc0K0Yfjw4cyaNSvw34kTJ7jxxhsBOHHiBGvXrg387Z49e9iyZUvE55g3b15UNriM1usIIYQQoUj7KET80Ma6AELEK4PBwJo1a4Ie+8c//gFAWVkZ69ato6SkBPA1VqWlpYwfP77byymEEEJ0J2kfhYgfMjInRAQuvPBCAH7/+9+zY8cOZs2axUsvvcRzzz3H+++/z6xZs3j//fexWq08+OCDXH/99VxzzTVs2rQJALvdzqJFi5g6dSo/+clPsNvtLc6xdetW7r333sDvn376KXfeeScADz/8MLNnz2b69Ok899xz7ZYRYMOGDSxevBiA2tpa7rnnHq677jquu+46Pv/8cwA+++yzQO/qNddcg8ViicKVEkII0ZNI+yhEbMjInBBtsNvtzJo1C4C+ffvywgsvBI7df//9vPrqqyxZsgSA3NxcSktLeeihhwD4wx/+wKWXXsoTTzxBfX09N9xwA2PHjuWNN97AYDCwfv169u7dy+zZs1ucd+zYsTz00ENYrVbS0tJ4//33mTZtGgCLFi0iKysLj8fDggUL2Lt3L8OGDQvr/Tz++OPMnz+fiy++mO+++47bb7+d9evX8+qrr/LQQw/xve99j8bGRvR6faeumxBCiOQm7aMQ8UOCOSHa0No0knD9+9//5p///CevvvoqAA6Hg/LycrZv3868efMAGDZsGEOHDm3xXK1WyxVXXMGHH37I5MmT2bJlCz/72c8AWL9+PStXrsTtdlNVVcW3334bdmP18ccfc/DgwcDvFouFxsZGLrroIp588klKSkq4+uqrSU9P79B7FkII0TNI+yhE/JBgTogu8txzz1FUVNSh506bNo0VK1aQmZnJyJEjMRqNHD9+nFdffZW33nqLzMxMFi9ejMPhaPd1mh73er2sXLmyRc/iHXfcwfjx49myZQs33XQTL7/8MoMHD+5QuYUQQohQpH0UInpkzZwQHZCenk5jY2Obv19++eUsX74cRVEA2L17NwCjR49m3bp1AOzfv599+/a1+vqXXHIJu3fvZuXKlYEpJI2NjaSmppKRkUF1dTVbt25t9bm5ubl8++23eL3ewFoEf5n+9re/BX7fs2cPAMeOHWPo0KHccccdnHfeeRw+fDji6yGEEEKAtI9CdDcJ5oTogKFDh6JWq5k5cyZLly5lzJgxHDx4MLDA+8c//jFut5uZM2cyffp0/vjHPwJw0003YbVamTp1Ks899xwjRoxo9fU1Gg1XXnkl//rXv/j+978P+KadnHvuuUydOpX777+fiy66qNXn3n///dx5553ceOON5OXlBR7/5S9/SWlpKSUlJUybNo2///3vACxbtowZM2ZQUlKCVqtl3Lhx0bxUQgghehBpH4XoXirF3zUihBBCCCGEECJhyMicEEIIIYQQQiQgCeaEEEIIIYQQIgFJMCeEEEIIIYQQCUiCOSGEEEIIIYRIQBLMCSGEEEIIIUQCkmBOCCGEEEIIIRKQBHNCCCGEEEIIkYAkmBNCCCGEEEKIBPT/A9PAkfhVuEPpAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "plot_utils.residuals_vs_fitted(model_linear, ax=ax1, studentized=True)\n", + "plot_utils.residuals_vs_fitted(model_quad, ax=ax2, studentized=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 5. High Leverage Points" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "plot_utils.leverage(model_linear, ax1)\n", + "plot_utils.leverage(model_quad, ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 6. Collinearity" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "sns.scatterplot(data=credit, x=\"Limit\", y=\"Age\", ax=ax1)\n", + "sns.scatterplot(data=credit, x=\"Limit\", y=\"Rating\", ax=ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16,8))\n", + "model = smf.ols(\"Balance ~ Limit + Age\", data=credit).fit()\n", + "plot_utils.rss_contour(model, (0.15, 0.2), (-5, 0), ax1, [21.25, 21.5, 21.8])\n", + "model = smf.ols(\"Balance ~ Limit + Rating\", data=credit).fit()\n", + "plot_utils.rss_contour(model, (-0.15, 0.25), (-1, 5.5), ax2, [21.25, 21.8])" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "def model_summary(model):\n", + " results_df = pd.DataFrame({\n", + " \"Coefficient\": model.params.round(3),\n", + " \"Std. error\": model.bse.round(3),\n", + " \"t-statistic\": model.tvalues.round(3),\n", + " \"p-value\": model.pvalues.round(4),\n", + " }, index=model.model.exog_names)\n", + " results_df.index.rename(\"name\", inplace=True)\n", + " return results_df" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CoefficientStd. errort-statisticp-value
Modelname
Model 1Intercept-173.41143.828-3.9570.0001
Age-2.2910.672-3.4070.0007
Limit0.1730.00534.4960.0000
Model 2Intercept-377.53745.254-8.3430.0000
Rating2.2020.9522.3120.0213
Limit0.0250.0640.3840.7012
\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
Omnibus: 128.132 Durbin-Watson: 2.224
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1183.719
Skew: -2.323 Prob(JB): 9.09e-258
Kurtosis: 13.975 Cond. No. 1.80e+04


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.8e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + "
" ], "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: Sales R-squared: 0.968\n", - "Model: OLS Adj. R-squared: 0.967\n", - "Method: Least Squares F-statistic: 1963.\n", - "Date: Sat, 26 May 2018 Prob (F-statistic): 6.68e-146\n", - "Time: 14:29:40 Log-Likelihood: -270.14\n", - "No. Observations: 200 AIC: 548.3\n", - "Df Residuals: 196 BIC: 561.5\n", - "Df Model: 3 \n", - "Covariance Type: nonrobust \n", - "==============================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "------------------------------------------------------------------------------\n", - "Intercept 6.7502 0.248 27.233 0.000 6.261 7.239\n", - "TV 0.0191 0.002 12.699 0.000 0.016 0.022\n", - "Radio 0.0289 0.009 3.241 0.001 0.011 0.046\n", - "TV:Radio 0.0011 5.24e-05 20.727 0.000 0.001 0.001\n", - "==============================================================================\n", - "Omnibus: 128.132 Durbin-Watson: 2.224\n", - "Prob(Omnibus): 0.000 Jarque-Bera (JB): 1183.719\n", - "Skew: -2.323 Prob(JB): 9.09e-258\n", - "Kurtosis: 13.975 Cond. No. 1.80e+04\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "[2] The condition number is large, 1.8e+04. This might indicate that there are\n", - "strong multicollinearity or other numerical problems.\n", - "\"\"\"" + " Coefficient Std. error t-statistic p-value\n", + "Model name \n", + "Model 1 Intercept -173.411 43.828 -3.957 0.0001\n", + " Age -2.291 0.672 -3.407 0.0007\n", + " Limit 0.173 0.005 34.496 0.0000\n", + "Model 2 Intercept -377.537 45.254 -8.343 0.0000\n", + " Rating 2.202 0.952 2.312 0.0213\n", + " Limit 0.025 0.064 0.384 0.7012" ] }, - "execution_count": 13, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "est = smf.ols('Sales ~ TV + Radio + TV*Radio', advertising).fit()\n", - "est.summary()" + "model_age = smf.ols(\"Balance ~ Age + Limit\", data=credit).fit()\n", + "df_age = model_summary(model_age)\n", + "df_age[\"Model\"] = \"Model 1\"\n", + "\n", + "model_rating = smf.ols(\"Balance ~ Rating + Limit\", data=credit).fit()\n", + "df_rating = model_summary(model_rating)\n", + "df_rating[\"Model\"] = \"Model 2\"\n", + "\n", + "pd.concat([df_age, df_rating]).reset_index().set_index([\"Model\", \"name\"])" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 41, "metadata": {}, + "outputs": [], "source": [ - "### Using scikit-learn" + "def variance_inflation_factors(model):\n", + " exog_df = pd.DataFrame(model.model.exog, columns=model.model.exog_names)\n", + " leave_one_out_R2 = [\n", + " sm.OLS(exog_df[col].values, exog_df.loc[:, exog_df.columns != col].values).fit().rsquared \n", + " for col in exog_df\n", + " if col != \"Intercept\"\n", + " ]\n", + " vifs = pd.Series([1 / (1. - R2) for R2 in leave_one_out_R2], index=exog_df.columns[1:], name='VIF')\n", + " return vifs" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.754\n" + ] + }, + { + "data": { + "text/plain": [ + "Age 1.01\n", + "Rating 160.67\n", + "Limit 160.59\n", + "Name: VIF, dtype: float64" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"Balance ~ Age + Rating + Limit\", data=credit).fit()\n", + "print(f\"{model.rsquared:.3f}\")\n", + "variance_inflation_factors(model).round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.750\n" + ] + }, + { + "data": { + "text/plain": [ + "Age 1.01\n", + "Limit 1.01\n", + "Name: VIF, dtype: float64" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"Balance ~ Age + Limit\", data=credit).fit()\n", + "print(f\"{model.rsquared:.3f}\")\n", + "variance_inflation_factors(model).round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "credit[\"Credit_worthiness\"] = (credit[\"Rating\"]/credit[\"Rating\"].std() + credit[\"Limit\"]/credit[\"Limit\"].std())/2" + ] + }, + { + "cell_type": "code", + "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[2.9388893694594085, 0.045764645455397615, 0.18853001691820456, -0.0010374930424763272]\n" + "0.753\n" ] + }, + { + "data": { + "text/plain": [ + "Age 1.01\n", + "Credit_worthiness 1.01\n", + "Name: VIF, dtype: float64" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "regr = skl_lm.LinearRegression()\n", + "model = smf.ols(\"Balance ~ Age + Credit_worthiness\", data=credit).fit()\n", + "print(f\"{model.rsquared:.3f}\")\n", + "variance_inflation_factors(model).round(2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3.5 Comparison of Linear Regression with K-Nearest Neighbors" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "N = 80\n", + "x = np.linspace(-1, 1, N)\n", + "a, b = 2, 2\n", + "y = a + b*x + stats.norm(0, 0.4).rvs(N)\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", "\n", - "X = advertising[['TV', 'Radio', 'Newspaper']].values\n", - "y = advertising.Sales\n", + "data_train_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", + "data_test_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", "\n", - "regr.fit(X,y)\n", - "print([regr.intercept_, *regr.coef_])" + "x_dense = np.linspace(-1, 1, 1000)\n", + "y_linear = a + b*x_dense\n", + "data_dense_linear = pd.DataFrame({\"x\": x_dense, \"y\": y_linear})" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 47, "metadata": {}, + "outputs": [], "source": [ - "# Credit dataset" + "knn1 = KNeighborsRegressor(n_neighbors=1)\n", + "knn9 = KNeighborsRegressor(n_neighbors=9)\n", + "data_dense_linear[\"y_knn_1\"] = (\n", + " knn1\n", + " .fit(data_train_linear.x.values.reshape(-1, 1), data_train_linear.y)\n", + " .predict(data_dense_linear.x.values.reshape(-1, 1))\n", + ")\n", + "data_dense_linear[\"y_knn_9\"] = (\n", + " knn9\n", + " .fit(data_train_linear.x.values.reshape(-1, 1), data_train_linear.y)\n", + " .predict(data_dense_linear.x.values.reshape(-1, 1))\n", + ")" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 48, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -681,79 +1785,168 @@ } ], "source": [ - "sns.pairplot(credit[['Balance','Age','Cards','Education','Income','Limit','Rating']]);" + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "\n", + "sns.scatterplot(data=data_train_linear, x=\"x\", y=\"y\", color=\"red\", ax=ax1)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y\", color=\"black\", ax=ax1)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y_knn_1\", color=\"blue\", ax=ax1);\n", + "\n", + "sns.scatterplot(data=data_train_linear, x=\"x\", y=\"y\", color=\"red\", ax=ax2)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y\", color=\"black\", ax=ax2)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y_knn_9\", color=\"blue\", ax=ax2);" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "def compare_linear_knn(data_train, data_test, data_dense, ax):\n", + " model_linear = smf.ols(\"y ~ x\", data=data_train).fit()\n", + " data_dense[\"y_linear\"] = model_linear.predict(data_dense.x)\n", + " \n", + " data_dense[\"y_knn_1\"] = (\n", + " KNeighborsRegressor(n_neighbors=1).fit(data_train.x.values.reshape(-1, 1), data_train.y)\n", + " .predict(data_dense.x.values.reshape(-1, 1))\n", + " )\n", + " data_dense[\"y_knn_9\"] = (\n", + " KNeighborsRegressor(n_neighbors=9).fit(data_train.x.values.reshape(-1, 1), data_train.y)\n", + " .predict(data_dense.x.values.reshape(-1, 1))\n", + " )\n", + " \n", + " sns.lineplot(data=data_dense, x=\"x\", y=\"y_linear\", color=\"black\", linestyle=\"--\", ax=ax);\n", + " sns.lineplot(data=data_dense, x=\"x\", y=\"y\", color=\"black\", ax=ax)\n", + " sns.lineplot(data=data_dense, x=\"x\", y=\"y_knn_1\", color=\"blue\", lw=1, ax=ax);\n", + " sns.lineplot(data=data_dense, x=\"x\", y=\"y_knn_9\", color=\"red\", lw=1, ax=ax);\n", + " " ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "def linear_knn_mse(data_train, data_test, ax):\n", + " model_linear = smf.ols(\"y ~ x\", data=data_train).fit()\n", + " linear_mse = ((model_linear.predict(data_test.x) - data_test.y)**2).sum()/len(data_test)\n", + " \n", + " Ks = np.linspace(1, 9, 9)\n", + " knn_mse = []\n", + " for K in Ks:\n", + " knn = KNeighborsRegressor(n_neighbors=int(K)).fit(data_train.x.values.reshape(-1, 1), data_train.y)\n", + " mse = ((knn.predict(data_test.x.values.reshape(-1, 1)) - data_test.y)**2).sum()/len(data_test.x)\n", + " knn_mse.append(mse)\n", + "\n", + " data_knn_mse = pd.DataFrame({\"K\": Ks, \"MSE\": knn_mse})\n", + " data_knn_mse[\"inv_K\"] = 1/data_knn_mse[\"K\"]\n", + " \n", + " ax.axhline(y=model_linear.mse_resid, color=\"black\", linestyle=\"--\")\n", + " sns.lineplot(data=data_knn_mse, x=\"inv_K\", y=\"MSE\", color=\"green\", markers=True, linestyle=\"--\", ax=ax);\n", + " sns.scatterplot(data=data_knn_mse, x=\"inv_K\", y=\"MSE\", color=\"green\", ax=ax);\n", + " ax.set_xscale(\"log\")\n", + " ax.set_xticks([0.2, 0.5, 1])\n", + " ax.get_xaxis().set_major_formatter(mpl.ticker.ScalarFormatter())\n", + " ax.set_ylim(bottom=0)\n", + " ax.set_xlabel(\"1/K\");\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 85, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Regression 1 - without interaction term\n", - "Intercept 211.142964\n", - "C(Student)[T.Yes] 382.670539\n", - "Income 5.984336\n", - "dtype: float64\n", - "\n", - "Regression 2 - with interaction term\n", - "Intercept 200.623153\n", - "C(Student)[T.Yes] 476.675843\n", - "Income 6.218169\n", - "Income:C(Student)[T.Yes] -1.999151\n", - "dtype: float64\n" - ] + "data": { + "image/png": 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Tjk7h8uPLuFdwZ0S9ETQt1VRmishiJBALIfQqvTfVXbt2DTc3N+7fv8/69et1q6zFFRwcTPfu3Tl48CA9e/Zk/vz58RageFd2bpn4EIzdP5bF5xdza+gtbHOnbyYLIbKSm89u0nNbTyLVkYB2msHeO3qzxH0J9YrVo1yBcimcQRiKtEwIIfQqPS0TBw4coH79+rx584ZDhw4lGoYBTp06xcmTJ1m+fDmrVq1KNgyDtEwY2sDaA4mMjWTykcmGLkWIDKHWqPG748ewPcN0YfitiNgIiloXlTCcxUkgFkLoVVpbJhYuXEirVq0oXrw4p0+fpkGDBvG2q9VqTp48CUC7du24e/cuffv2TdWfIS0s4MwZGDRI+zFx4vvXJ9KuvE15BtYayOJzi7n29JqhyxEizaLV0QBcfHyRFmtacCLoBKaq+LOzWJlZydzbHwAJxEIIvXrflonY2FiGDx/OoEGDaNWqFSdOnNDNlfvWo0ePcHZ2xtHRkdu3bwO81yISzZrB2LFQvbr2o4rc45XpJjpOJKd5Tr7y+8rQpQjxXp6GP2Xe6XnUWVKHgT4DAahhW4Pfu/xO8Khgfuv4m27ubSszK1Z3WC1zb38ApIdYCKFX7zNC/Pr1a7p06cLu3bv54osvmDFjRoK5cPfv30+PHj0IDQ1lyZIllC1b9r1ryp8fPvvsvQ8TGahQrkKMazSO1X+v5lXkK/LmyGvokoRI1p5be1h4diG+N32J1cTiUMSBekXrAdobRt0ruAPo5t5+FPoIu9x22NvYY6KS8cesTgKxEEKvUjtCfPfuXdzd3bl+/TqLFi3i008/TbDPpEmTmDJlCpUqVeLQoUNUrlxZDxWLzDKqwSjGfDIGc9OEy20LYWiKonDm4Rlqf1QbE5UJe2/t5dSDU4yoN4KeNXomOUtK3Lm3xYdDArEQQq9Sc1PdiRMnaN++PTExMezZswcnJ6ckzqXQt29ffvnlF3LmzKmHakVmerskbWh0KHdf3KWabTUDVyQE/PPyH9YGrGV1wGpuPLvBwV4HaVa6GZObTWZGyxmYmUh0yo7kuyqE0KuUWibWrVtHv379KFGiBD4+PlSoEH9UZd++fVhYWNC0aVMmTZokc3dmQ56bPLn1/BZXPr+iC8lCZLYHrx/QY3sPDgceBsCxpCNfNvySWh9p5zS3trQ2YHVC36SpRQihV0m1TGg0Gry9venRowcNGjTA398/XhiOjY1l/PjxtGrViqlTpwJIGM6mRtYfyZ0Xd1hwdoGhSxFGRK1Rs+/2PjZf3gxA4VyFiVHH8G2zb7k7/C6H+xymX81+EoSNhIwQCyH0KrER4vDwcPr06cPmzZvp168fCxYswMLCQrf9wYMHdO3alT///JP+/fszd+7cTK5aZCaXci44l3Hm26Pf0sehD/ly5DN0SSIbu/T4Eqv/Xs3agLU8Cn1EDdsadKrSCXNTc471O2bo8oSByAixEEKv3h0hfvToEU2bNmXLli3MmDGDpUuXxgvDgYGBODg4cP78edasWcOSJUukX9gIzHCewYuIF3z/5/eGLkVkY1/u/5JqC6ox2382dYvWZavXVk71P2XoskQWICPEQgi9intT3YULF3B3d+fFixfs2LGDtm3bJti/ZMmS9O3bl379+lGxYsVMrlYYSo0iNehVoxeXnlxCURRpjxHpFhkbye/Xf2f136uZ1XIWFQpWwL2CO8Wsi9GlahcK5Spk6BJFFiKBWAgjcvw43LiR/D5Nm0Lp0hl3zbctEzt37qR79+7kz5+fY8eO4eDgoNvn/v37DBo0iJ9//pnSpUszffr0jCtAfDAWui3E0tRSwrBIM0VROBF0glV/r2LT5U28inpF0TxFCXwZSIWCFWhUohGNSjQydJkiC5JALIQR+eILKFwYCiUxMPL333DzJkyblnHX1GgU7ty5RYcOHahduzY7d+7Ezu7fZUwVhSMrVjB21Ciio6O5d+AApR0dM+7iqZUnD9jJ0qqGlsMsBwBBr4KIiI2gvE15A1ckPhQRMRFYmVvxOuo1TqudMDMxw7OyJ72q96JpqaaYmpimfBJh1CQQC2FENBqYNAlq1058+7Rp8Pp1xl0vOjqa+fOXcvVyYbw8PVi+fLm2Hzg2lpiYGFb37o3X5s1ssrDA7qOPsJgxA2bMyLgCUqtYMTh4MPOvKxKI1cTScHlDyhUoh18vPxktFkl6GfmSzZc3szpgNTHqGPz7+5M3R1729thLrY9qkdsit6FLFB8QCcRCGBGNJvlV40xMtD2/GeHZs2d4enpy+0hOItmP2Q4F1Y4duu2mikJvjYbf69Wj9aFDWFhZZcyFxQfNzMSMMZ+MYdieYfxx8w9cy7sauiSRxZwIOsHcU3PZeW0nUeooKhWsRK8avdAoGkxUJjiWMsBfmcQHT2aZEMKIpLRqnEqlDc3pdf36derXr8/JkycZ2sWT+3mroIqNhdhYIt680f739Wt8d+zAw98fKwnDIo6BtQdSrkA5xh4YS6wm1tDlCANTFIW/Hv3Fy8iXAFx+fJmDdw/yaa1POTPgDJc/v8y4RuMwUUmkEWknPz1CGJHMGCH28/Ojfv36vHr1ikOHDvFxpUpEm+YkJiaGMWPGULt2bcLCwsiVKxft2rVL38VEtmRhasEPTj9w5ckVfjj2A4cDD3P96XU0Sgb8a01kSRpFw/Wn1+N9rx++eciM4zOovrA6Hy/+mPUX1wPQq0YvHox8wM+tf6b2R7WlrUZkCGmZEMKIpBSIVar0BeJFixYxePBgKlasiI+PD6VKleKQ7wEiVJY0adIEf39/Bg0ahKmp3OAikte+YnsqFqzI5MOTiVVisTKzYnWH1XhU8nivkUCNouHms5s8Cn2EXW477G3sZSQxi9EoGrZd3Uav7b2IiI0gh2kOKhaqSEBIABpFQ/1i9VngugCvKl4Asry30AsJxEIYkcRWjYvLxCT1LRM7dvx3H5qiaLh3bzm///4ZrVu35rfffsPaWrvc6d3LAYQ/f8PlyzfYuHEjXl5e6XsRwijcen6LwBeBxCralomI2Ag6b+lMq3KtKJKrCDnNc9KuYjtalGnBm6g3rA1YS07znOQ0z0kui1zkNM+JfQF7Tt4/qQtaaQ3VQr9uPrtJj209iFJHARCpjuRiyEUG1hrIiPojZLYRkSkkEAthRN5dNe5d7zNCvGKFdgo3e/tIfvnlGPfv52bYsGHMmjULMzPtW4tGo+HCyWM0M8vF+fPnKVeuXAa8CmEMHoU+IlIdGe85jaLhYshF/lb+JjwmnDL5y9CiTAuCQ4P5/I/PE5xjouNEph+fTkRsBKAN1b2296Ja4WpUKFghU16HSN7fwX8zev9oXRh+S62o8ariJWFYZBoJxEIYkdT0EKd2hDgmBho2DOGnn5x5+LAiNWt+z9y5XQDt8st58+Ylf/78tHN2wuz4aQnD4r3Y5bbDysxKF2YBrMys2N9zf4IwWyZ/GYJHBRMWE0Z4TDjhMeGERYfxNPxpvONBG4rvv74vgdjArj29xog9I9h7ey85zXNipjLT/TUAtN9ru9wyN7jIPPI3IyGMSEotE+8zQvzkySu++GII9+7dY8KErylRoiygXZHuxypVOFe/Pnz+OVXObiLGPFcGVC+Mib2NPas7rMbKTDsDydt2B3sb+wT7mpqYYpvbljL5y1C1cFXqFq1Ls9LNqG5bXXd8XMP2DONC8AV9vwTxjlhNLI/DHgPa7+elx5eY1nwa90bcY0PHDan6XguhLzJCLIQRSU3LRGpGiDds2MC5c8WwszPHz8+fW7cqcvq0hhEjRjJ37lz+zpWLEk2aQNWqBIZWxe+lIy0y7mUII2CiMsGjkgfVCldL8w1xb0N13Ju1Pq/7OesC1rH43GLmu87X4ysQb4XHhLPywkpmnZxFeZvy7O6+m5L5SvLPiH90K8il93stRHpJIBbCiKR32jVFUZg0aRJTpkwhT55LLFu2gIoV83L69GOOH7/N7t1zGTZsGFUPH8bk88+hZk2u5YSHhzL+tYjsz0RlQoWCFdLc3pBUqP6m8TeYmWh//Z19eJaw6DBZzEEPnoU/49czv/LL6V94Gv6UukXrMuDjAbrtcZdTTu/3Woj0kkAshBFJz7RrERER9O3bl40bN9KnTx/+/rsSBQtqT2ZpaUpsrMLWrVvx8PCA8uUhZ07dNWWaUGEoiQWtAlYFdJ9POTKFXTd28enHn/Kj84/ky5HPAFVmT0vOL2Hi4Ym42rsytuFYGpdoLHMGiyxL/h4hhBFJaaW6pG6qCw4OpmnTpmzatIkff/yR5cuXExMDW7duQK1WY2trQ+3aDbRhGCAiAv5dfS6lNg0hDOm3jr8xqsEolv61lMq/VmbHtR2GLumDdSH4At23dWfT5U0AfFb7My4OuohPNx+alGwiYVhkafJrSggjkpYR4oCAAOrWrculS5fYunUrY8eO5e7du9y8eY8ffpjC/v37MTMDtTrOL7vwcBkhFh+EnOY5mdlyJv7/86dQrkJ02NiBbVe3GbqsD4aiKPjd8aPlmpbUXFST36//TkhoCAD5cuSjauGqBq5QiNSRQCyEEXnfadd27drFJ598gkaj4dixY3To0IGtW7dSs2ZNYmIU5s+fS6tWrTAzg9jYOCeSEWKDOXr0KC4uLjg7O7N48eIE21esWEGbNm1wd3end+/ePHjwQLetUqVKtGvXjnbt2vHZZ59lZtkGV6doHc4OOMtC14W0rdAWgH9e/oOS3rXMs7lu27rRYk0LAkIC+N7pe4K+CGJovaGGLkuI9yY9xEIYkdROu6ZoNCyeMoVvJ0+mcbVqrFixgiKFC/Pzl1/y4/TpNHZw4OFDE9rWqgIPHmD1HPKHAw/QniAyMl4glhHizKFWq5kyZQorVqzA1taWjh070rx583hzQFeqVImtW7diZWXF+vXrmTFjBnPmzAEgR44c7Ny500DVG565qTkDaw8E4GXkS+ovq0/VwlVZ5LaIMvnLGLi6rOHtjBE9q/ckj2UeOlfpjFNpJ3pU70EOsxyGLk+INJNALIQRSWm01sQEYmPVTG/XnhE+PnTKkYN8T59i0lY7YvZZTAy9c+fG+vFjgp9+QuF2gAlUioFVL4C6/57IwUF3IWmZyDwBAQGULFmS4sWLA+Dq6oqfn1+8QFy/fn3d5w4ODvz++++ZXueHwNrSGu8m3nx54Euqzq/Kd82/Y2jdodx5cccopwZ7Gv6UX09rZ4x4FvEMa0trelTvQfuK7Q1dmhAZQgKxEEYkpZaJsLBQ9u07xvNgH9qVK0f569fZunUrf//9N9999x0WgMW/+1YpADcvgY0N3LgEXbrApUsJzyktE5knJCSEIkWK6B7b2toSEBCQ5P5btmyhSZMmusdRUVF4eHhgZmbGp59+SosWxjt7tInKhEF1BuFewZ1BvoMYtW8U88/M58HrB0SqI3WLR3hU8sjWoThGHcPIvSNZ9tcyImIjcC/vztiGY2lYvKGhSxMiQ0kgFsKIJBeIb9y4wdSpy3jypCqjhwzB/v59hg4dyvz586lfvz6dO09g2DBLXY/x69dgaan9PEEPcRzSMpE17dy5k0uXLrF27Vrdc4cOHcLW1pagoCB69+5N+fLlKVGihAGrNLxi1sX4vcvvzPGfw5j9Y1ArakC7BHSv7b2oVrhatpw79/7r+xSzLoa5qTnXnl2jS9UujP5kNJULVTZ0aULohQRiIbKJW7fij9BWqQL276x8mlQ4PXToEJ6ensTEdKVFCxcqlAhm77p1zH/xgtGjRzNt2jQOHDAnPBymT9cekzu39gOSD8QpjUqLjGNra0twcLDucUhICLa2tgn2O3HiBAsXLmTt2rVYWFjEOx6gePHi1K1blytXrhh9IAZQqVTUtKupC8NvRcRG8HfI39kmECuKwoE7B5h+YjpH/zlK4PBA7PLYsbfH3mw9Ci4ESCAWItvw9oYbN6BYMXj4EEqUgC1b4u+TWDhdunQpgwYNonz58vTrN5GzZwsw87vvqBEVxa5du3BzcwNArYaCBcExkQW93g3EI0bA/v3az589g27dMu51iqRVq1aNwMBAgoKCsLW1xdfXl1mzZsXb58qVK3h7e7N06VJsbGx0z7969QorKyssLCx4/vw558+fp3///pn9ErIsu9x2WJlZEREbEe/5Htt6sO/2Pr5s+CX2NvZJHJ31aBQNN5/d5FHoIwrlLMSFkAvMPDGTC8EXsMttx7fNviW3hfZfvBKGhTGQQCxENhEbC2PHgpcX7NgBK1Yk3CduIFar1Xz55ZfMmjULFxcX1qxZw759hVCpoG/XrpSIjCTPv2H47bGmpgnPCQkD8b598MMPULas9nHJkhnzGkXyzMzM8Pb2pn///qjVajw9PbG3t2fu3LlUrVoVJycnpk+fTnh4OMOHDwfAzs6OhQsXcvv2bSZOnIhKpUJRFAYMGBDvZjxjZ29jz+oOq+m1vRcRsRFYmVkxq+UsLj+5zLK/lrE2YC0PRj7AJqdNyiczMI2iYdvVbfTc1pNIdSSWppZEq6OpULACy9ouo3u17liaWRq6TCEylV4DcVRUFN27dyc6Ohq1Wo2LiwvDhg3T5yWFMFpxA6upaeItDG9nfHjz5g3dunXDx8eHoUOHMnDgQFq0aEH9+j+jKI5UKVsWHj9OcGxSrQ/vBuLgYGjYUHvDnchcjo6OOL4zjP82/AKsXLky0eM+/vhjdu3apc/SPmgmKhM8KnlQrXC1BLNMTGgygaP/HNWF4UmHJ+FS1oUGxRsYuOr4otXR+N/357dLv7Hw7EIUtHMsR6mjsDS1ZJvXNioVqmTgKoUwDL0GYgsLC1atWkWuXLmIiYmhW7duNGnSBAcHB31eVgijpFb/F1i1K8cl3EdR4MGDILp2dePy5cv8+uuv5MuXj/r162NpaUn+/Hl59QrtPMI5ciR5/ndZWWlbI+zstI9jYiB//ox7bUJkBSYqEyoUrJCgZ9g2ty2dqnQC4EnYE+adnsfkI5NpWqop3zT+BqfSTgZZtlhRFN11v/H7hrmn5hIWE4aJykQXht+KUkcREhYigVgYLb02BqlUKnLlygVAbGwssbGxspa5EHqSmhHi2Fg1zZo5EhgYyLZt2/jrr7/o3r07NWrU4PL69bTmEdUf7IbLlxME4uRaJvLmhZAQOH9e+3H/vtxIJ4xToVyF+GfEP8x2mc2NZzdwXuNMvaX1uPb0WqZc/+Gbh6z+ezU9t/ek5JySvIp8BUCpfKXoXaM32ztv59T/TmFlZhXvOCszK+xy22VKjUJkRXrvIVar1Xh4eHDv3j26detGjRo19H1JIYxSSiPEGzduJDKyLba2OTh06CT37t1j2bJlfPXVV0yZMgWzcuVQ5S6D9VNLyA00iP/n3pRmiyhQIGNfjxAfqlwWuRhRfwSDag9i9d+rWXhuoS5s/vPyH4paF8XMJGN//R4OPMzgPwZz5ckVAArmLEiLMi14FfWKvDnyMqDWAN2+GkWToB96dYfVH9RNgUJkNL0HYlNTU3bu3Mnr168ZPHgwN27coHz58vq+rBAfrPXrtaOsibGwgAkTdKsixxM3sMYdIVYUhW+//fbfG6YiWblyOZUrV6Zy5cpcuXKFihUrand89owTUwJYs9OarVsTnj+5lgkhREKWZpYMqDVAF0Y1igb3De6ERocytuFY+jj0ee/ljmM1sZx9eJb9t/dz4O4BhtUdhmdlTwrlLETRPEXpU6MPzmWdqW5bPcnZIZLrhxbCWGXaT7+1tTX16tXjzz//zKxLCvFB+vlniIqCIkUSfixZAvfuJX6cWv1fS8PbEeLIyEi6d+/OxIkT6datGyqVKc7OTrrVy3RhOCYGIiJQ58yDoiR+/uRaJoQQKVOh4rvm31EoVyEG+Q6izNwyzDoxi9DoUDSKhutPr3M48DDXn15Ho2jiHRseE06HjR0oOL0gDZY1YOLhiYRFh+m2VylchX099zGm4RgcijikGG7f9kM3LdWUCgUrSBgWRk+vI8TPnz/HzMwMa2trIiMjOXHiBAMGDEj5QCGMmKJA9+5Qv37CbcuWoVsp7l3vjhBHRMTQrFkz/P39GTFiBPv27UOjgS+/HEXlypW1FwoP1x7w9Cnky4eJqSpV5xdCvD+VSkXbCm1xL+/OocBDTPtzGqP3j6ZAzgLkscija2HIYZqDz+p8xuuo1+SzzMcsl1nkNM/Jy8iXeFXxokWZFjQv3ZyCOQsa+iUJkW3oNRA/fvyYcePGoVarURSFVq1a0axZM31eUogPnqIkHTxNTJIOxHFHiAMDb3H5cgS1Tf7ir7JlufvLLzQ3NSWaLnhcB1WXLnDnDvz1F+TMqT3o449RqUhyhDju+YUQaadSqWheujnNSzfn9IPTWJlZUW9pPd2iH5HqSOb4z8Ha0pouVbrojjvU+5ChShYi29NrIK5YsSI7duzQ5yWEyHaSWl4ZtIE4senU4L8RXF9fX/r1m4aiLGbDF18Qs2kTFypUYPjw4Xw6sAAeXQAV2nTbqlW8hmST35MOxDJCLETGq1u0LocDDydYAQ9gm9c2nMo4GaAqIYyPrFQnRBbzdvGMxCQ/QqywZctmFizoSqlS7sTEFKdk4cJo3NyYMGsWpqZmbB0Iqk5JX1ulSl1LhhAi4yS2LLSVmRXFrIsZsCohjIv8ehMii0luhNjUNPHAGhMTw82bt/n117k4ODhw//4/PH78FE14OCY5c2JmZpZs0H7LxERaJoTIbG+XhX47N7BMgyZE5pMRYiGymPftIX7x4gWdOnUiJORbypQpzfnz66hbtydPnpTAJCpKt8BGcud9S0aIhch8Mg2aEIYngViILCalHuK4gfXmzZu4ublx9+5dzM1zcOfOzX+nWJtAq1am2iWYC2rvRE9NoE1uhFgCsRD6k9Sy0EKIzCG/3oTIYlLqIX57U93hw4epV68ez54948CBA+TNm59ff/2FSZMmYWFhql2YIzJSN0KcmkCb3AixtEwIIYTIriQQC5HFpKaHeNmyZTg7OwOwefNmmjRpQrFipWjQoC4QZ+nmiIh4LRMp9RAnN+2ajBALIYTIruTXmxBZTHK9viqVwrx58+nfvz8WFha8ePGCu3fvajeq1ZhFhUFYGGZRYVjEhEFo6HuNEEvLhBBCCGMkPcRCZDFJjeSGhoZy7Vogx49vxNTUlDx58uDj46Nb7GZ80ECqNFkD5mbYApfCgV0q+Hd1SGmZEEIIIRIn4z1CZDGJ9RAHBQXRqFEjnj17ApjSrFkz/v7773grPxaOecD9n7dDWBgvgsIomvffEeLmzZM877tkhFgIIYQxkhFiIbKYd0eIz5w5Q9u2bQkLC6Natao0aTKMuXPdMX1nuDaX+hWKdV4ALC21Wbhixf+2q9Xa55OT0rRrMkIshBAiO5JALEQWE7eHeOPGjfTs2ROVSsWxY8f45ptCtG3bPtFgmkfzCvJqA3GuXHDnDoSHx9/H2jr5a6e0MIeMEAshhMiOJBALkcVoR2gVJkzw5rvvvgPA0dGRMmXKxJ+HOCoK/Px087AViH1MaJzEW6LE+19bZpkQQghhjCQQC5HFaDQaPv30U44eXQbA5MmTGT9+PCYmJvHmIebgQejXD+rUAeBkjuZULWybrmtLy4QQQghjJIFYiCzk8ePHPHgQw507h8mTJw+7du3C0dFRtz3eCPE//0C7drBoEQCfl4BjVum7fkotE+bm6Tu/EEIIkRVJIBYii/D398fLy4sVUTVoZxVCDjNzTDw84u2z/g3kOAqYo110Y8oU3baM6PFNaYRYWiaEEEJkRxKIhcgCfvnlF4YPH46lpSXVzf7h1XIfcjpXTbDfkF7QuTO4uv77RP78um0Z0dKQ0rRr0jIhhBAiO5JALIQBaTQaOnfuzJYtWzA3N2fdunXk7PwlatuPwMYmwf5hOSAyF5Bwk95HiGWWCSGEENmVBGKRbd27B23aQGxs4tt//FHbgmsoT58+pV69ety5cwdbW1v8/f0pVaoUIZohxOTMmegxcW+qi4wEX9//HkdEpH8E19QUbt+G7t0Tbjt/XrfonRBCCJGtSCAW2VZIiPa/O3Yk3DZ9Oty8manlxPPy5Us8PT25c+cOjo6OHDhwADMz7f+OOZRwYnLlSvQ4U9P/RnBPnIDPP4e399x5euqmIU6zatVgwYLE/xHRpg20aJG+8wshhBBZkQRikW2p1doFKuKu1vZWwYJJtwbok6IozJs3j/nz53P79m0WLFjAZ599Fm+fnEoYb5IZIX5bd0QE1KoFmzZlXH0WFtoeZSGEEMKYSCAW2VZyN4HFm74sk7x8+ZJ27dpx9OhRcufOzf79+3EsVgwCAv7b6d+hWZWlRaLniFt3VBTkyKHvqoUQQojsTwKxyLaSmyYsswPxmTNnaNOmDU+fPqVQoUIcO3aM8nZ22hvn3hnCPmrhTCVV4ueJ20McFQWWlnouXAghhDACcs+4yLaySiBesWIF9evX5+nTp9SpU4fr169Tvnx5CA7Wrq8cEBDvo3v+P1JVd2SkBGKR0NGjR3FxccHZ2ZnFixcn2L5ixQratGmDu7s7vXv35sGDB7pt27dvp2XLlrRs2ZLt27dnZtlCCGFQEohFtpUVAnFYWBirVq1Co9HQp08fjh8/Tv63cwc/fgyFCyc4RqPRTn+WmLg31ckIsXiXWq1mypQpLF26FF9fX3x8fLh161a8fSpVqsTWrVvZtWsXLi4uzJgxA9C29MybN49NmzaxefNm5s2bx6tXrwzxMoQQItNJIBbZVnLz5uo7EJ8+fZpx48bRuHFj/vzzTzYPHcryVaswt7DQpl2VCho1Anv7BMcqStKBWHqIRXICAgIoWbIkxYsXx8LCAldXV/z8/OLtU79+faystGt8Ozg4EBwcDMCxY8do2LAh+fLlI2/evDRs2JA///wz01+DEEIYgvQQi2wrpRHipOYnTg9FUZgzZw5jxowBIGfOnOzatYs2r19rWyQ2bkzFOZIPxNJDLJISEhJCkSJFdI9tbW0JiHvT5ju2bNlCkyZNkjw25O3chUIIkc3JCLHItjJ7lonnz5/Tvn17Ro4cCcBHH33E8ePHadOmjXaOtFy5/hsdjvvxDkVJ3ci29BCL9Ni5cyeXLl2if//+hi5FCCEMTgKxyLYys4c4NjaWhg0b4uPjA0DdunU5e/Ys1apV0+4QHg5JzC38ruR6iM3MYOlS7VzBv/0mLRMiPltbW10LBGhHfW1tbRPsd+LECRYuXMiCBQuwsLB4r2OFECI7SrFlQqPRsGfPHu0olxAfkIwKxL/+CseOJb7N3Fxh7lwVOXOqKVy4MNeuXaNbt24sW7aMHHHT6nsE4uRaJkaO1LYeA3h4/LdKnRAA1apVIzAwkKCgIGxtbfH19WXWrFnx9rly5Qre3t4sXboUGxsb3fONGjXip59+0t1Id+zYMd1fO4QQIrtLMRCbmJiwdOlSCcTig5NRgXjdOnBxgfLl4z//5s0bRowIp0iRg5w48SvHjx/n22+/5ZtvvkGlUhETA69fa/e1ehoO5CTiGRQokHTgheQDcenS2g8hEmNmZoa3tzf9+/dHrVbj6emJvb09c+fOpWrVqjg5OTF9+nTCw8MZPnw4AHZ2dixcuJB8+fLx+eef07FjRwAGDx5Mvnz5DPhqhBAi86TqprpPPvmEZcuW0aZNG93dyYC8WYosLaNmmYiKAjc37TLJb508eZLOnTsTEbGFRYtWEh19jo0bN+Ll5aXbZ9gwWLNG2+c7MTycF6oCTJ0LGzaAp2fS10suyAuREkdHRxzf+dPB2/ALsHLlyiSP7dixoy4QCyGEMUlVIP7jjz8AWLdune45lUqVYDofIbKSjBohjnvzmkajYdasWXz99dfY2NgwVLWBsW/+pFCR/Fh++SWMG6c9uUrFhBATfsyrwjqvCYSEwHffcccf3rxJ/nrJjRALIYQQIuOlKhAfPHhQ33UIkeEyapaJuPP9njhxgrFjx1KjRg0uXrxIY9PLPOryDcW+7a49oaLo/vvdZxo8PRScmv37vL09pmdSnu5NArEQQgiRuVI9D/GNGze4desW0dHRuufat2+vj5qEyBAZOUL85s1ToCD1a9dmTq1aBJw7x/9q1KD+rXsEVW4EpUolOO62OcTaA1X+e87U9L95hJMigVgIIYTIXKkKxPPmzePUqVPcvn0bR0dHjh49Sq1atSQQiywtIwKxRqPh5ctIPvnkY/74YxXrx49n+rlz3Kxaldoff8z+1xZEFa2R6LEREQmnRTMzSzkQSw+xEEIIkblS9Wt37969rFq1ioIFC/L999+zc+dO3qTUCCmEgaU3ED958gQ3NzfCwtQ0alSHQYMGcfHUKdQlSlD34kVMli9nZb2FhJrlS/T4yMiEgVhGiIUQQoisJ1WB2NLSEhMTE8zMzAgNDcXGxoZHjx7puzYh0iU9s0z8+eef1KxZEz8/P0xMrDh//gRPnjxhwU8/UbB4cd1+lpbaHuPESCAWQgghPgypapmoWrUqr1+/plOnTnh4eJAzZ05q1qyp79qESJe03FR38yaEhsLatZcxMalF376uLFpkgo2NNb6+PtjfvQtxph5MKRDH2RWQQCyEEEJkRakKxJMmTQKga9euNG7cmNDQUCpWrKjPuoRIt/dtmXj48DGVKhWiWjUVijKQyEh3Fi16TIECZzl1yp/8+fPDlSsJAvGFC/DvzITxvHyZeA9xSrNMSA+xcdu5cyft2rUD4Ny5c9SKMwH22rVr6dGjh6FKE0KIbCtVv3YVRWHnzp3MmzePYsWKYW1tTUBAgL5rEyJdkguWKlX8QHzkyBFq1aqPWh3NoUMvKVu2I0+eFOPTTxcSHFxTG4ZBe6dcnEDctCncuwfz5iX8aNwYChWKf10ZIRYpibtwxnfffRdv29atWzO5GiGEMA6pHiE2MTHB39+fIUOGkCtXLoYOHSpvziJLS2mEWDtlsIbvv/8eb29vSpWqjpWVKU5OTvz111/89NNPjBgxAlXcdBoRATlz6h56eGg/UksCsUiJoiiJfp7YYyGEEBkjVYE4ICCA7du366ZZy5s3LzExMfqsS4h0S+mmuqioGFq1cmX//v107dqVbt2G0rbtG+5ev06gszMlzp6Fd/88ffMm1K6d5ppSCsRv844EYuMV9x9gqnd+EN59LIQQImOkKhCbmZmhVqt1b8bPnz/HRJocRRaX0gixqakZNjY2LF68mAIFCuDl1Q2V6gwn166lxNCh8MMPiR9cv36aazI1heT+LSmBWNy5cwd3d3cA7t27p/scICgoyFBlCSFEtpaqQNyzZ08GDx7Ms2fPmD17Nnv27GHEiBF6Lk2I9NHNMhEQAHv2/PuchsNHjlDKrA5t7uemcxcHjmzbxu49e5hmV5E3b5ZS4Y87UKUKdO+e4TWZmWm7LpIi7RLij8Tu0BRCCKFXqQrEbdu2pUqVKvj7+6MoCvPnz6ds2bL6rk2IdNGNEC9aBDdvEmZvj4+PD//cu0eFCjnISVl2r9nD5cuXaVyxIp980prNm59Dvnzv1xj8HlLTMiGB2LgVLVo03uMXL15w9uxZ7OzsqFq1qoGqEkKI7C1VgRigVKlS5M6dG/W/v80fPnzIRx99pLfChEgvXSB+GMKl+vVxXrKEly9f8uuyZTxWd+Trr8/w9OksJk2ahJu3N7duqZh5BD6brr+aUgrEGo0EYmM3cOBARo0aRfny5Xn8+DEeHh5UrVqVe/fu4eXlRZ8+fQxdohBCZDupCsRr1qxh3rx5FCxYMF7v8K5du/RWmBDpcvYspQMekOcZvL5whiFbt5KvYkX27duHmZkZTZt+zfPnzdiwYQNdunQBtL295ub6LSs1I8TSnm/c7t+/T/ny5QHYtm0bn3zyCdOnTyc0NJSuXbtKIBZCCD1IVSBevXo1e/bs+W8uVvFBCAzUrrqWnJIlIU+eTCknc3XqRA1ze0I1VuSsWZMW7dszYupUTpw4gZeXF+BJkyZN6dLFRndIbKy2x1efzMykZUIkzyzOD+HJkyf//XmF3Llzy83MQgihJ6n69V+kSBHyZMvUlH1pNGBvDxUqJL3Ps2fQpQvMnp15dWWW6Jcv8crbkoYdhjF7tgXjgfnz5zNs2DCqVKnC4ME/sHu3TbxjssoIsQRi42ZnZ8eaNWsoUqQIV65coXHjxgBERkYSm9Iyh0IIIdIkVYG4ePHi9OzZk6ZNm2JhYaF7vm/fvske9+jRI8aOHcuzZ89QqVR4eXnRu3fv9FUsUkWj0YarS5eS3mf+fLh4MfNq0peLFyEqSvu5Wq1m6dKlzH75mkcUIDIynNhYE0aOHMkvv/yCm5sb69ev5+DBPAmWbs6sQJxcppEeYjF16lTmzp3LiRMnmD17NtbW1gBcuHABDz3d7CmEEMYuVYH4o48+4qOPPiImJua9FuQwNTVl3LhxVKlShdDQUDw9PWnYsCHlypVLc8EidVITrFKzalpWFxSkXSejWjWIiYnmzp27hIZ+zCIUbEv1oE6dWNzc3Ni7dy8jR45k+vTpmJqaYmJCgkCcGS0TMkIsUmJjY8OUKVMSPF+/fn3qp2MObCGEEElL1a//IUOGpOnkhQsXpnDhwoC2/61MmTKEhIRIIM4EqQlWiYXCD01kJJQoAWfPgpubB7duHWL14jmYDLVg87YHuLm5cePGDRYvXsyAAQN0xyX22jNjhDg1PcTSJmrcPvvss2S3L1y4MJMqEUII45FsIJ46dSrffPNNkm/Q7/PGfP/+fa5evUqNGjXer0KRJqkJVtlhhDgiIhZTUxPAhF9++YWIiAgq29oSM2oUdevWJTY2lr1799K8efN4xxlqhDh3bti4EfbtS3y7RgNWVvqtQWRtFy5cwM7ODldXV2rUqIHydvlCIYQQepPsr/927doB0K9fv3RdJCwsjGHDhvH111+TO3fudJ1LpE5qRog/9ED87LffWPXNEj5+5IWyvTCl/33BJ3/6ieJv3pC/SBF8fHx0U1jFZW4OJ09Cw4b/PffiBZQpo9+aPT2110wu4+TKpd8aRNZ2/Phxjh8/jq+vLz4+Pjg6OuLm5oa9vb2hSxNCiGwr2UD8dlWkunXrpvkCMTExDBs2DHd3d1q2bJnm84j3k5oe4oxqmbh+Ha5d++9x9epQunT6z5ucQ7/9Rv2uXWlqUgBLS0tUqyxQFIWr164RcuMGd0qUwN/fnwIFCiR6fNOmsHt3wtdfsqR+61apwM5Ov9cQHzZTU1OaNGlCkyZNiI6OxsfHh549ezJkyBB69Ohh6PKEECJbSjYQu7u7J3twSgtzKIrCN998Q5kyZVKckUJkrMwcIR4zBkJCoEgRuHcPHBxgxYr0nzcxsbGxeHt7s/v77/ktRw7CVpxl6pzSNFofTu/evdly4wb9+/fn119/jTcjyrvMzKBBA/3UKER6RUdHc/jwYXx8fHjw4AE9e/bE2dnZ0GUJIUS2lWwgTu/NG+fOnWPnzp2UL19e134xcuRIHB0d03VekbLM7CGOjQVvb3B1hVWrwM8v/edM1JMnhK9dS8S8efxYtSrlbG15XLQ0Gk0Ujo6OnDt3jpkzZzJy5EhUMlWD+ECNHTuWmzdv0qRJE4YMGZJoy48QQoiMlWwgLlq0aKpO0rlzZzZu3Jjg+dq1a3P9+vW0VSbSJTNnmYjbnmFiknx/bFodP36cBgEBWC9ezDQ3N6ysrKBlS65evcnffz/B3PwqO3bsoG3bthl/cSEy0e+//46VlRWBgYGsWbNG97yiKKhUKs6fP2/A6oQQInvKkHvqo96uiiCyjMychzjuaLRKFT9kf/stHDuWuvOMGgXvtpnHxMQwYcIEfvzxR/5s355GrVtj9dNPAOzYsYNhw0ahUo3m+PHjMoOJyBauxW3IF0IIkSkyJBDLn6eznszsIdZo/gvE744Q+/pql4euVCn5c6xaBf7+8QNxUFAQXbp04cSJE3z66afU+3dOa0VRmDFjBuPGjcPefgTFitWjRg3L9L8QIYQQQhglPc+6KgwlNT3EGdkykdQIsUajvXmtXr3kz3HqlHZhjLf2799Ply5diI6OZv369XTt2hW+/JJYa2s+/d//WLFiBV5eXnh6fs+6dRKGhRBCCJF2qVoTa82aNbx69SrJ7TJxfNaT2S0TSfUQp3blNXPz+IHY2tqasmXLcu7cOW0YBiKePuXXFStYsWIF3t7ebNiwARMTS70vpiHEh+To0aO4uLjg7OzM4sWLE2w/c+YMHTp0oHLlyuzZsyfetkqVKtGuXTvatWuX4op5QgiRnaQqSjx9+pSOHTtSuXJlPD09ady4cbw2ienTp+utQJE2hmyZeHeEOLWB+Nmz1/z66xoGDx5MvXr1OHXqlO7n7Nq1a1zavJkrERGsW7eObt26AZmz3LIQHwq1Ws2UKVNYsWIFtra2dOzYkebNm1OuXDndPnZ2dnz//fcsX748wfE5cuRg586dmVmyEEJkCakKxF988QUjRozg2LFjbNu2jW+//ZbWrVvTsWNHSpQoIdMCZUGZPctE3JaJd0eIU9NiHnF8I9/v+B+mhKEZPx4TlYq3h8XExmIbGkoZRaHq9OlU/DcMQ+YstyzEhyIgIICSJUtSvHhxAFxdXfHz84sXiIsVKwaASWr+pSqEEEYi1e+IKpWKQoUKUbBgQUxNTXn16hXDhg2T0eEsKjPnIX532rVUjxAfOULs8uVsaN2aojsmsdeyLi/OnMHk9m24dQtu3WLFN9/wUVgYbhUqEHzhAhXHjIl3ChkhFuI/ISEhFClSRPfY1taWkJCQVB8fFRWFh4cHXl5eHDhwQB8lCiFElpSqsbVVq1axc+dO8ufPT8eOHRk7dizm5uZoNBpatmzJ2LFj9V2neE+GnHYt7ghxcnUofftyMjSUmCdPKGbbiLM1veleuzag/dPvqFGjmDt3Lm3atGHDhg1YW1sDMHw4vP2r7ps3EGfAWAiRDocOHcLW1pagoCB69+5N+fLlKVGihKHLEkIIvUtVIH716hW//PJLgoU6TExMWLRokV4KE+mT2pYJffcQJzdSrQoN5fGkSVgVKsSj8E5c+3eFu9evX9O1a1f++OMPRowYwcyZMzE1NdUdd/48TJ8OdetqH8cZEBPCqNna2hIcHKx7HBISgq2t7XsdD1C8eHHq1q3LlStXJBALIYxCqgLxsGHDktxWtmzZDCtGZJzU3lQXN7x+8402bCYmRw5Yvx6srBJuS66H+N2WiejoaMaNG0e1atXoGxaGZ69ekDs369dDdDQEBgbi7u7O1atXWbhwIQMHDkxwvbAwKFsWSpVK/vUJYWyqVatGYGAgQUFB2Nra4uvry6xZs1J17KtXr7CyssLCwoLnz59z/vx5+vfvr+eKhRAia5DbkbKptPQQb9oE48bBRx8l3LdHD3j2DP69HyeelHqI324LDAykc+fOnD59mrGjR0NEBOTMCWj7gIODn1G3bl1iYmLYs2cPLVq0SLTusDDIlSv51yaEMTIzM8Pb25v+/fujVqvx9PTE3t6euXPnUrVqVZycnAgICGDIkCG8fv2aQ4cO8csvv+Dr68vt27eZOHEiKpUKRVEYMGBAvJvxhBAiO5NAnE2lpYc4PBxatYJ3OmMAbW5NakaK5HqI327bsWMHffv2RaPRsHnzZjq2bg2//qo78OTJIxw9+oYyZazx8fGhYsWKSdYdFqbL0UKIdzg6OuLo6BjvueHDh+s+r169OkePHk1w3Mcff8yuXbv0Xp8QQmRFEoizqbRMu5Zc0Ez0BrzwcDh5ktqvIO9Z4DUUCoDqT4B/+4GrhFtz56IZ3b068HHNmqxevZrSpUvD48eQKxcajYZJkyYxe/ZZ8uefyKlTp7CxsUm27vBwGSEWQgghRMaRQJxNpWVhjuSCZqJzFm/eDF99Rd83lbBbAeSBss/AKwiYpp0pYs6jfyjaK4RXlpaYXr+OKs4azupq1ejapQubN2/GxWUmT57U4dq1lGcCDA2VQCyEEEKIjCOBOJt63x7imBht4E1qTt93b8AD4Plz6NyZTw/OZtVicHCAc/tg5kz47LNtfPbZZ1jY3uPIkRy8e+/lo0ePaNeuHWe3bGH69Ol4eIykb18VqZnBz8UFLC1T3k8IIYQQIjUkEGdTqekhjjvq+3Z0OKljEp2i7cULyJcv3kwSMTHRXLt2B09PT+rUqcOjR6YJgvmFCxdwd3fn+fPnbN++nXbt2gGQSFujEEIIIYTeydqd2VRqWiZy54abN8HWFsqVgwIFkt430RHily/jBeLbt2/zxRfDCQp6oFvq29TUPF4dv//+O40aNQLg2LFjujAshBBCCGEoMkKcTaUmEJcoob23LSZG+zjRvtzZs+GnnzgYDAWaA3FbKp4/h6VLdaPRGzZs4OHDB1StWp3Zs52A/+YhVhSFWbNmMXbsWGrVqsXvv/+OnZ1dRrxUIYQQQoh0kUCcTaWmhxiSHxUG4MgR8Pam10+tmDMHKleOs02lIrJAAaK+icLExJKvvvqKChWe8+uvhXS7aDTaNooBAz5n2bJldOzYkVWrVpFT5k0TQgghRBYhgTibSraHODQUmjTRNg6n5J9/4LvveJKjOJGFgOL/bbp16xZejRpx795mIiPtMDXNSeHCheLNQ6xWa+jRoxv+/lsZP348kydPxiQ1SV0IIYQQIpNIIM6mkm2ZePJE2ytx4EDKJzI3hzJlEvQQb9y4kQEDBmBmZkahQkXInVs74hv3Rr3r16/z5El+nj07w5o1a+jRo0f6XpQQQgghhB5IIM6mkg3EoaGQLx8ksxrcu97OMhETE8Pw4cNZsGAB9evX57fffqN581y6a71dqc7Pz4+OHTui0dxg27bNtG1bN92vSQghhBBCH+Rv19lU3KnQEggN1U4x8R7ejhCbmZnx6NEjxowZw9GjRylZsmS8a5mYwKNHwbRq1YqiRYtSoEAB6teXMCyEEEKIrEtGiLOpFEeI3zMQP3/+lKCgaBo0+IgtW7Zgamqq2/Y2EKvVan7+eR537tSlVasWbNy4kTJlEs5DLIQQQgiRlUhUyaYyKhBHREQwcOBAbty4wvr1vwHEC8OgDcRhYaG0a9eOjRvXY2trx65du7C2tk7V9G9CCCGEEIYkI8TZlBITi8+NSlDoZcKNkZHQuXOK57h+/TpeXl4EBARQvPhYBg/+JNH9YmNj8fTswK1bhxgz5jcOHy6F2b8/Wcm2bgghPkhdunTBzOy/Xx9eXl58/vnnhIeH06ZNmwT79+nThz59+vD06VM6duyYYPugQYPo3LkzQUFB9OzZM8H2UaNG4e7uzvXr1xk4cGCC7ePHj6dFixZcuHCBESNGJNg+bdo0PvnkE06cOMHXX3+dYPucOXNwcHDgwIEDfPfddwm2L1q0iAoVKrBr1y5mzZqVYPuaNWsoXrw4GzduZMGCBQm2b9myhYIFC7Jy5UpWrlyZYPsff/xBzpw5mT9/Pps2bUqw/fDhwwDMnDkTHx+feNusrKzYvXs3AN9++y1+fn7xttvY2LB161YAvvrqK06ePBlve7FixVi7di0AI0aM4MKFC/G2ly9fnsWLFwPw6aefcuPGjXjbHRwcmDNnDgA9evTg/v378bY3aNCA77//HgBPT0+ePXsWb7uTkxMTJkwAoHXr1kRERMTb7ubmxujRowFo2rQp75KfPfnZg9T/7MXGxiZ4jW9JIM6mTJ49IY/mFVy5kvgOefMme/yJEydwcXHB0tISX19fZs0qm2iw9ff35/HjUoSF3Wf37t3kz+/MwYP/bU/NEtJCCCGEEIakUpS4s8Zmrvv37+Pk5ISfnx/FihUzVBnZ0tXf/sa0b0/KRwSk6fiwsDCGDh3KlClTKFasGM7OMGYMtGz53z4bNmygb9++xMYGcfDgS5o0sefcOfj0Uzh3TruPtTXcv6/9rxDZiTG+fxnjaxZCZB/JvYfJH7Ozk19+AQcHcHCg9BhPnpp/9F6HX7t2DS8vL8LCwsiVKxfLly/X/cDEnYdYURQmTZpEt27dqFu3LgUK2FC+vD0Qfx5ikJYJIYQQQmR9ElWyk9OnoWNHWLmS2z9swbvU6lQfunbtWmrXrs2hQ4cS9OnAf/MQR0RE0K1bNyZPnkyfPn3Yv38/imKiC71v5yF+S1omhBBCCJHVSQ9xdhIVBfb24OBAWDS8skz5kPDwcIYNG8ayZcto3LgxGzZsoGjRogn2MzWFZ89e0KxZa06dOsUPP/zA2LFjUalUCeYhjjtCrCgyQiyEEEKIrE0CcXYSFQWW2hSc2unOBg0axJo1a/jmm2+YNGlSvDvH4woNfcXIkWOIiLjItm3b6NChg25b3FHgxEaIJRALIYQQIiuTQJyFvHoFzs7aXJuYMWOgR49kTvAegTg6OhoLCwtdL7CLi0uS++7atYs//1SwtoY///yTjz/+ON72uKPAiY0QS8uEEEIIIbIyCcRZyNOn8PAh+Pom3LZyJfz9d/oDcVhYGEOGDOHFixds376d0qVLU7p06URPpygKs2fPZvTo0eTNu5/vv/+Rjz+2SbBf3FFgGSEWQgghxIdGAnEWolaDlRXUqJFwW4kS8M8/KZwgTiBOLIhevnwZLy8vrl69yjfffINGo0mw6txbMTExDB48mCVLluDp6YmiOJIvX+I/Lsn1EEsgFkIIIURWJ1ElC1GrIYkWXszNISYmhRMkM0K8cuVK6tSpw9OnT9m3bx/ffvttkmH4+fPntGrViiVLlvD111+zadMmLCzMUKsTv2zca707QiwtE0IIIYTI6mSEOAtRq7WzOSQmPYH45cuXfPnll9SrV4/169djZ2eX5Clu3LiBm5sbgYGBrFq1il69egEJR37jSmqE+G0wlkAshBBCiKxMAnEWEhubcYFYo4HIyAjUagvy5cvHsWPHKFOmTJKjwgCHDh3C09MTU1NTDh48SKNGjXTbTE3h5Uttn/O71OrEe4hlDmIhhBBCfAgkEGchibZMhIbCkCE0ux5NxUdAt2RO8PAhWFqiKAo+Pn/w11/WzJhxnHHjxmFvb5/stZcuXcqgQYOwt7fHx8eHMmXKxNteujRMmqT9eFfx4v/V/e4IsfQPCyGEECKrM8pA3K4dXLv23+OffgJXV8PV81aiLRP37sH+/QR7zODsGfjELZkTdOxIaIECDOrVi7Vr75Mv32z69OmTwjXVfPnll8yaNYuWLVuyadMm8ubNm2C/yZO1Hyl5d4RYArEQQgghsjqjDMSnTsHmzVC4MHz3Hdy+beiKtBJtmQgPB1tbHjbtxuEHMCyZEeKLFy/SqU4dbt68Se/eKwgMrEGRIkn3LISGhtKtWzd27drFkCFDmD17dpILc6RW3BFiaZkQQgghxIfAKAOxomhXOC5SBPLnjz8rgiEl2jIREQE5c2Jurg3MyQkPDyciIoIDBw6gVjdj2rSk97137x5t27bl0qVLzJs3j8GDB6e7fog/QiwtE0IIIYT4EBhlXIk7A4OJSdYKxImOEP8biBO7qe7NmzesW7cOgHr16nHz5k2aNWuWbBg9deoUdevW5e7du/j6+mZYGIaEI8QSiIXIXEePHsXFxQVnZ2cWL16cYPuZM2fo0KEDlStXZs+ePfG2bd++nZYtW9KyZUu2b9+eWSULIYTBGe0IcVLz5hpSoi0TERFgZZVoIP7777/x8vLi9u3b1K1bF3t7eywsLICk5//duHEjffr0wc7OjoMHD1K5cuUMfQ0qlTbDb94MkZHSMiFEZlKr1UyZMoUVK1Zga2tLx44dad68OeXKldPtY2dnx/fff8/y5cvjHfvy5UvmzZvH1q1bUalUeHh40Lx580TvKRBCiOzGKMfvsmogTu0IsaIoLF68mHr16vHmzRv8/PwSzCLxbiBWFIUpU6bQpUsXatWqxalTpzI8DAPY2ICbG2zaBL//Dv37Z/glhBBJCAgIoGTJkhQvXhwLCwtcXV3x8/OLt0+xYsWoWLEiJu/8+ebYsWM0bNiQfPnykTdvXho2bMiff/6ZmeULIYTByAhxVgnEf/9NnothVHsDnIjz/KVLCQLxgAEDWLZsGS1btmTNmjUULlw4weni3tAWGRlJv3792LBhA7169WLx4sVY/jtfcUbLkQNWr9bLqYUQKQgJCaFIkSK6x7a2tgQEBKT52JCQkAyvUQghsiKjDMRxw2KWCMTPnkGdOlQsW5v+IcDod7b/73+Ym8Pdu/DVVxAcPJwmTfpRs2YDZs9OvCfh9m3tawsJCaF9+/b4+/szbdo0xo0bh0r6GIQQQgghdIwyEL87QpzUksSZJjgYypblyLQTrFoFO3bE36woCid+XoKjY02srWvTsGG1FE9ZsyYULHiHunWb8eTJE7Zs2YKnp6d+6hdCZAm2trYEBwfrHoeEhGBra5vqY0+fPh3v2Lp162Z4jUIIkRVJIM4KI8RPnkDhwolOu/b69WsGDBjApk2b8PDwYNy4Laka4fX19aVLly7kyZOHP//8k1q1aumpeCFEVlGtWjUCAwMJCgrC1tYWX19fZs2alapjGzVqxE8//cSrV68AbU/xyJEj9VmuEEJkGXq9qe6rr76iQYMGuLklt7xa5os7JZnBAvGePdqJkIsUgfbtoVixBDfV/fXXX3z88cds3bqV77//ns2bN6cYhhVFYc6cObRt2xZ7e3tOnz4tYVgII2FmZoa3tzf9+/enTZs2tG7dGnt7e+bOnau7uS4gIIAmTZqwZ88eJk6ciOu/y3Tmy5ePzz//nI4dO9KxY0cGDx5Mvnz5DPhqhBAi8+h1hNjDw4MePXrw5Zdf6vMy7y1LjBDfuQMuLvDjj9rH+fMTu+W/QPzPP//QoEEDChYsyOHDh2nUqFGKp4yJiWHo0KEsWrSI9u3bs3btWnLlyqXHFyGEyGocHR1xdHSM99zw4cN1n1evXp2jR48meuzbMCyEEMZGr4G4Tp063L9/X5+XSJMsEYijoqBAAe0I8b+0I8QawISSJUsyb9482rdvT8GCBVM83YsXL+jUqRN+fn6MGzeOqVOnJphWSQghhBBCJCQ9xIYMxO9MfXb7diC7dp3n9Oli1K1bl/6pnMT35s2buLm5cffuXVasWEGfPn30ULAQQgghRPYkgTiTA/GLF9pFK2odiwTFkrMLtX2/hw8fZsuWR+TIoULzHtNeHDlyBA8PD1QqFQcOHKBJkyZ6rF4IIYQQIvsxykBsyHmI/fy0bcPz80YRYWHNqVNRHDlymLt371KiREmmT29I/frWqTrX8uXL+eyzzyhbtiw+Pj6ULVtWz9ULIYQQQmQ/RtlkGneE2MQkcwNxbCzUrQutmkXRobMlVavOIyjIjRkzQrl714XOnVMOw2q1mrFjx/K///2Ppk2bcvLkSQnDQgghhBBppNdAPHLkSLp06cLdu3dp0qQJmzdv1uflUs2QLROxsWBmpvDmyROwtGTEiBGcPXuW0aNHp+omuNDQUDw9PZkxYwaDBg3C19dXpkYSQgghhEgHvbZM/PTTT/o8fZoZMhC/ehXG0aOn2PVkC+61apHH1JQaNWqk6tigoCDc3d25ePEiP//8M0OGDJFlmIUQQggh0unD7CG+fh0CAtJ8uIcGTLcBZlDlyr9LN2fC4PXNW7c4O82f+qEf0aTMR+S2sUn1sWfOnKFt27aEhYXh4+ND69at9VipEEIIIYTx+DAD8ZkzsHNnmg/vpAGTrYDq30CsAJsyrLoEFLRTowUEBNDerAKFPlIoVqsWpHIFuc2bN9OrVy+KFCnC/v37qVq1qv6KFUIIIYQwMh9mIO7RQ/uRRl4mELMRMIWt32qnBP7uu4wrLwFFYWyHDqhKl6ZBg3Xsv5eTT+al5jCFqVOnMmHCBD755BO2b99O4cKF9VioEEIIIYTxMfpZJvTZQ+zv78/du3dRqVRs2LCBbdu2YWGRE7NU/DMkMjKSnj17MmHCBHr06IGfn5+EYSGEEEIIPTC6QPw2/OozECuKwqxZs2jcuDFjx44FwMrKCpVK9e8sE8kf//jxY5ycnFi3bh3ffvstq1evJkeOHBlbpBBCCCGEAD7Ulol00HcgfvbsGX369MHHxwcPDw+WLFkSb3tsLJiaJn38pUuXcHd3Jzg4mE2bNtGpU6eMK04IIYQQQiRgtIH4rYwMxFevXsXFxYWQkBB++eUXBg8enGBaNLU66RHi3bt307lzZ3LlysXRo0epU6dOxhQmhBBCCCGSZJQtE3EzakYG4hIlSlCjRg1OnDiR5BzBibVMKIrCzz//jJubG2XLluX06dMShoUQQgghMolRBuK4C8KlNxA/ffqUoUOHEhYWRq5cudi1axe1kplO7d1AHBMTw+DBgxk+fDju7u78+eefFC9ePO0FCSGEEEKI92KUgTijRoiPHz9OzZo1Wbx4Mf7+/qk6Jm4gfvnyJa6urixYsICxY8eybds2cufOnbZihBBCCCFEmhh9IDYxef9ArNFo+PHHH3F0dMTS0pKTJ0/i5OSUqmPfBuLbt2/ToEEDDh06xLJly/jxxx8xMTG6b4cQQgghhMEZ5U11744QazTvd45x48YxY8YMvLy8WLJkCdbW1qk+NjYW/vnnNvXq1UNRFPbv30/Tpk3frwAhhBBCCJFhJBC/R8uEoiioVCoGDRpEuXLlGDBgQKI3ziXn4sWrHDq0CHv7gvj4+FCuXLn3Ol4IIYQQQmQsowvEGs37B+K3LRLnzp1j8+bNlC5dmk8//TTJ/cPDYds27RRrcc+xZcsW/PwKUqFCaU6ePEn+/PnT+WqEEEIIIUR6GV0gft8R4sePH9OrVy/27t1Lly5diIqKSnHVuFOnYPRocHHRPo6NjeHPP48RFBRB+fJWrF37Ofnzm2fAqxFCCCGEEOlldHdxvU8gPnLkCA4ODhw+fJhFixaxfv36VC2hHBMD1arBqlUwbdoDrl6tx4MHLZgz5yXXrtWndm0Jw0IIIYQQWYWMECcRiCMjI+nWrRt58uRh9+7d1KhRI9XXeDuTxNmzZ2nbti1v3rzh999/x9XVNQNegRBCCCGEyEhGGYiTW5jj6dOn5M+fnxw5cuDr60vZsmXJkyfPe10jNhaePn1IkyZNKFy4MCdOnKBatWoZ9AqEEEIIIURGkpaJOIH48OHDVK9enalTpwLg4ODw3mFYURQ2btzK2bP+1KhRg1OnTkkYFkIIIYTIwiQQq7QzQEyZMgUnJyesra1p3759ms4dFRVF7969Wb9+E8WLf8ShQ4ewtbXNmMKFEEIIIYReGGXLRNxA/ObNa3btOsKDBxPp0aMHCxYsSNPyyU+ePKFDhw4cP34cT89tWFrWI0eO95ujWAghhBBCZD6jD8QvXjznyZMnLFu2jL59+773QhsAV65cwc3NjUePHrFx40YiIjpw8GAGFi2EEEIIIfTG6FomtAtzKOzZsweA0qVL0bVrD/r165emMLx3714aNGhAeHg4R44cwcvLi5gY7SwTQgghhBAi6zO6QBwS8pg3b17TunVrzp49i4kJmJtbpOlc8+bNo02bNpQqVYrTp09Tt25d4L9p14QQIrMdPXoUFxcXnJ2dWbx4cYLt0dHRjBgxAmdnZzp16sT9+/cBuH//PtWrV6ddu3a0a9cOb2/vzC5dCCEMxqgC8YEDB2jWrDkxMdGsWLGC2rVrp2rp5nfFxsYyZMgQhg4diqurK8eOHaNEiRJxtoO5rL0hhMhkarWaKVOmsHTpUnx9ffHx8eHWrVvx9tm8eTPW1tbs37+fPn36MHPmTN22EiVKsHPnTnbu3MmUKVMyu3whhDAYownE06ZNo2XLlhQoYIONTX769OkDpLx087tevXqFq6srv/76K6NGjWL79u0JpmaTlgkhhCEEBARQsmRJihcvjoWFBa6urvj5+cXb5+DBg3To0AEAFxcXTp48ifK+owJCCJHNGE0gtrOzo0+fPvzxx27M4qTV9wnEd+7coUGDBhw8eJAlS5Ywc+ZMTE1NE+wnLRNCCEMICQmhSJEiuse2traEhIQk2MfOzg4AMzMz8uTJw4sXLwBt20T79u3p0aMHZ8+ezbzChRDCwLJ1bNu3bx/Pnz+nS5cu9O3bl759+/LwYeqWbn7XsWPHaN++PRqNhn379tGsWbMk95WWCSHEh6Zw4cIcOnSI/Pnzc+nSJQYPHoyvr2+apqEUQogPTbYcIY6NjWX8+PG0atWK2bNno9FodNuSW6kuKatXr8bJyYkCBQpw6tSpZMOw9voyQiyEyHy2trYEBwfrHoeEhCRYHMjW1pZHjx4B2vfKN2/ekD9/fiwsLMifPz8AVatWpUSJEty9ezfzihdCCAPKdoH44cOHODk5MXXqVPr168ehQ4cwMfnvZb5PINZoNHz99df07t2bhg0b4u/vj729fYo1SA+xEMIQqlWrRmBgIEFBQURHR+Pr60vz5s3j7dO8eXO2b98OaKeNrF+/PiqViufPn6NWqwEICgoiMDCQ4sWLZ/prEEIIQ8hWse3Zs2c4ODgQHh7OmjVr6NGjR4J9tPMQ//c4qUAcFhZGr1692LZtGwMGDODXX39l9GjzVC24ERwMY8ak44UIIUQamJmZ4e3tTf/+/VGr1Xh6emJvb8/cuXOpWrUqTk5OdOzYkTFjxuDs7EzevHmZPXs2AGfOnOHnn3/GzMwMExMTJk+eTL58+Qz7goQQIpNki0CsKAoqlQobGxvGjRtHmzZtqFixYhL7phyIHzx4QNu2bfnrr7/46aefGDFiBCqVCn9/+OorqFYt5ZrKlUvHCxJCiDRydHTE0dEx3nPDhw/XfW5pacnPP/+c4DgXFxdcXFz0Xp8QQmRFH3wgvn//Pr179+b777+nbt26jBw5Mtn9UwrE58+fx93dndevX7Nz507c3d1122JioGLF1AViIYQQQgjxYfige4h3796Ng4MDp0+f5uHDh6k6JrFA/Paeu23bttG4cWPMzMw4fvx4vDAMcrOcEEIIIUR29EEG4piYGF1rRNGiRTl79izt27dP1bGKAnHusft3hFjhhx9+wNPTk2rVqnHq1CmqV6+e4FgJxEIIIYQQ2c8HGYhXrlzJjz/+yMCBA/H396dChQqpPvbdEeLY2Bj8/U/z1Vdf0aVLFw4dOhRvYvu4ZH5hIYQQQojs54Mc7+zXrx8lS5akZcuW731s3ED89OlTvv9+HoGBlZg4cSITJ05EFTctv0OmUxNCCCGEyH4+yBFiU1PTNIVh+C8QX716lXr16nH79i3q1WvApEmTkg3DIC0TQgghhBDZ0QcZiNNDo4GIiDAaNGhAaGgoEyd6U7x4iVQdK4FYCCGEECL7MbpAvG7deh4+fECJEiU4ffo0FSqUT3Hp5rdiYqSHWAghhBAiuzGaQBwbG8uwYcP49ttvyZUrJ8ePH6dkyZLJLt2c8BwyQiyEEEIIkd0YRbx79eoVXbp0Yc+ePfTq9QOnThUlTx5tv7AEYiGEEEII45bt493du3dxd3fn+vXrLFq0iIYNP6VTp/+2v08gllkmhBBCCCGyn2wd744fP0779u2JjY1lz549ODk5celS8ks3J0fmIRZCCCGEyH4+yEC8cCFs2pT8PsHBwVy7Fk2OHL9TvXp1pk7NxdSpEBoaf5Q37tLNydFotB8mRtN1LYQQQghhHD7IQOzuDuXLJ75No9GwcuVKDh1aS40aDkycOJG8eXPF26do0f8+T+0IsVqtDdIpTFUshBBCCCE+MB9kIC5aNH6ofSs8PJzevXuzZcsW/ve//zF//g9YWFgkey6VCkJCYPfu5K8ZFSX9w0IIIYQQ2VG2iXiPHj2ibdu2nDt3jpkzZzJy5MgUV54DqFgRChWCn39O+Rrdu2dAoUIIIYQQIkvJFoH4r7/+om3btrx48YIdO3bQtm3bVB9bvjz4+uqxOCGEEEIIkaV98LeI7dixg0aNGgFw7Nix9wrDQgghhBBC6D0QHz16FBcXF5ydnVm8eHGGnVdRFKZPn46HhwdVqlTh9OnTODg4ZNj5hRBCCCGEcdBrIFar1UyZMoWlS5fi6+uLj48Pt27dSvd5o6Oj+d///seXX35Jp06dOHLkCHZ2dhlQsRBCCCGEMDZ6DcQBAQGULFmS4sWLY2FhgaurK35+fuk+b8+ePVmxYgXe3t5s2LABKyurDKhWCCGEEEIYI73eVBcSEkKRIkV0j21tbQkICEj3eevVq4eXlxeenp7pPpcQQgghhDBuH+QsEyNHjjR0CUIIIYQQIpvQa8uEra0twcHBuschISHY2trq85JCCCGEEEK8F70G4mrVqhEYGEhQUBDR0dH4+vrSvHlzfV5SCCGEEEKI96LXlgkzMzO8vb3p378/arUaT09P7O3t9XlJIYQQQggh3ovee4gdHR1xdHTU92WEEEIIIYRIkw9+pTohhBBCCCHSQwKxEEIIIYQwahKIhRBCCCGEUZNALIQQ2cjRo0dxcXHB2dmZxYsXJ9geHR3NiBEjcHZ2plOnTty/f1+3bdGiRTg7O+Pi4sKff/6ZmWULIYRBSSAWQohsQq1WM2XKFJYuXYqvry8+Pj7cunUr3j6bN2/G2tqa/fv306dPH2bOnAnArVu38PX1xdfXl6VLlzJ58mTUarUhXoYQQmQ6g65U9/bNNu7iHUII8SF4+76VlUJjQEAAJUuWpHjx4gC4urri5+dHuXLldPscPHiQIUOGAODi4sKUKVNQFAU/Pz9cXV2xsLCgePHilCxZkoCAAGrWrKk7Vt6zhRAfsuTetw0aiJ88eQJA9+7dDVmGEEKk2ZMnTyhZsqShywC0q4EWKVJE99jW1paAgIAE+9jZ2QHaueLz5MnDixcvCAkJoUaNGvGODQkJiXesvGcLIbKDxN63DRqIq1atyrp16yhUqBCmpqaGLEUIId6LWq3myZMnVK1a1dClZBp5zxZCfMiSe982aCDOkSMHtWvXNmQJQgiRZlllZPgtW1vbeO0MISEh2NraJtjn0aNHFClShNjYWN68eUP+/PlTday8ZwshPnRJvW/LTXVCCJFNVKtWjcDAQIKCgoiOjsbX15fmzZvH26d58+Zs374dgL1791K/fn1UKhXNmzfH19eX6OhogoKCCAwMpHr16oZ4GUIIkemydCDevXs3rq6uVKxYkYsXLya5X1LTDAUFBdGpUyecnZ0ZMWIE0dHRaarj5cuX9O3bl5YtW9K3b19evXqVYB9/f3/atWun+6hWrRoHDhwAYNy4cTRv3ly37erVq2mqI7W1AFSqVEl3vc8++0z3fGZ+Ta5evUrnzp1xdXXF3d2dP/74Q7ctI74mWWV6qZTqWLFiBW3atMHd3Z3evXvz4MED3bakvk/6qmXbtm3Ur19fd83Nmzfrtm3fvp2WLVvSsmVLXWDSVx3Tpk3T1eDi4hJv1DGjvyZfffUVDRo0wM3NLdHtiqLw3Xff4ezsjLu7O5cvX9Zty8ivSWYwMzPD29ub/v3706ZNG1q3bo29vT1z587Fz88PgI4dO/Ly5UucnZ1ZsWIFo0ePBsDe3p7WrVvTpk0b+vfvj7e3t7RF6FF63jdE1pKe912RvPS8f783JQu7deuWcvv2baVHjx5KQEBAovvExsYqTk5Oyr1795SoqCjF3d1duXnzpqIoijJs2DDFx8dHURRFmTBhgrJu3bo01fHjjz8qixYtUhRFURYtWqRMnz492f1fvHih1KlTRwkPD1cURVG+/PJLZffu3Wm6dlprcXBwSPT5zPya3LlzR7l7966iKIoSHBysNGzYUHn16pWiKOn/miT3fX9r7dq1yoQJExRFURQfHx9l+PDhiqIoys2bNxV3d3clKipKuXfvnuLk5KTExsbqrY6TJ0/qfhbWrVunq0NRkv4+6auWrVu3KpMnT05w7IsXL5TmzZsrL168UF6+fKk0b95cefnypd7qiGv16tXKuHHjdI8z8muiKIpy+vRp5dKlS4qrq2ui2w8fPqz873//UzQajfLXX38pHTt2VBQlY78mQsSV3vcNkXWk531XpCyt799pkaVHiMuWLUuZMmWS3SfuNEMWFha6aYYURcHf3x8XFxcAOnTooBsheV9+fn60b98egPbt2+tGfpOyd+9eGjdujJWVVZqul5G1xJXZX5PSpUtTqlQpQNu3WKBAAZ4/f56m670rqe97XAcPHqRDhw6AdnqpkydPJju9lL7qqF+/vu5nwcHBQW9TVqWmlqQcO3aMhg0bki9fPvLmzUvDhg3TPHL+vnX4+vom+a//jFCnTh3y5s2b5Pa3P8sqlQoHBwdev37N48ePM/RrIkRcWel9Q6RPet53RcrS+v6dFlk6EKdGYtMMhYSE8OLFC6ytrTEz0943WKRIkQRTCKXWs2fPKFy4MACFChXi2bNnye6f2C/42bNn4+7uzrRp09LcpvA+tURFReHh4YGXl5curBryaxIQEEBMTAwlSpTQPZeer0lS3/d390lqeqmUjs3IOuLasmULTZo00T1O7PuUVqmtZd++fbi7uzNs2DAePXqUpteREXUAPHjwgPv371O/fn3dcxn5NUlLvW//v8jIr4kQcaX3fUNkHel53xXpl9T7d1oYdJYJgD59+vD06dMEz48YMYIWLVpkiTriUqlUqFSqJM/z+PFjbty4QaNGjXTPjRw5kkKFChETE8OECRNYvHixbmJ8fdVy6NAhbG1tCQoKonfv3pQvX57cuXMneU191QHar8mYMWP48ccfMTHR/hvsfb8m2cHOnTu5dOkSa9eu1T2X2Pcp7j8aMlqzZs1wc3PDwsKC3377jS+//JLVq1fr7Xop8fX1xcXFJV6vamZ/TYTIyhJ73xAflqz2visSZ/BAvHLlynQdn9RUQfnz5+f169fExsZiZmZGcHBwgimEUluHjY0Njx8/pnDhwjx+/JgCBQokue/u3btxdnbG3Nxc99zbkVQLCws8PDxYvnx5sq8pI2p5+1qLFy9O3bp1uXLlCi4uLpn+NQkNDWXgwIF88cUXODg46J5/369JYq9Pn9NLZWQdACdOnGDhwoWsXbsWCwuLeMdD/O9TWsNfamrJnz+/7vNOnToxY8YM3bGnT5+Od2zdunX1Vsdbf/zxB97e3gmOh4z5mqSl3rf/X2Tk10SIuNL7viGyjvS874r0S+r9Oy0++JaJpKYZUqlU1KtXj7179wLau8XfnX4otZo3b86OHTsA2LFjB05OTknu6+vri6ura7zn3vazKIrCgQMHsLe3T1Mdqa3l1atXuhaE58+fc/78ecqVK5fpX5Po6GgGDx5Mu3btaNWqVbxt6f2aZJXppVJTx5UrV/D29mbBggXY2Njonk/q+5RWqaklbm/VwYMHKVu2LACNGjXi2LFjvHr1ilevXnHs2LF4f+XI6DoAbt++zevXr+MtDZzRX5PUePuzrCgKFy5cIE+ePBQuXDhDvyZCxJWe9w2RtaTnfVekX1Lv32mS5tvxMsG+ffuUxo0bK1WqVFEaNGig9OvXT1EU7YwF/fv31+13+PBhpWXLloqTk5Myf/583fP37t1TPD09lRYtWihDhw5VoqKi0lTH8+fPlV69einOzs5K7969lRcvXiiKoigBAQHK119/rdsvKChIadSokaJWq+Md37NnT8XNzU1xdXVVRo0apYSGhqapjtTWcu7cOcXNzU1xd3dX3NzclE2bNumOz8yvyY4dO5TKlSsrbdu21X1cuXJFUZSM+Zok9n2fM2eOcuDAAUVRFCUyMlIZOnSo0qJFC8XT01O5d++e7tj58+crTk5OSsuWLZXDhw+n6WuQ2jp69+6tNGjQQPc1GDhwoKIoyX+f9FXLzJkzlTZt2iju7u5Kjx49lFu3bumO3bx5s9KiRQulRYsWypYtW/Rah6Ioys8//6zMmDEj3nH6+Jp88cUXSsOGDZXKlSsrjRs3VjZt2qSsX79eWb9+vaIoiqLRaJRJkyYpTk5OipubW7wZbTLyayJEXGl93xBZT3red0Xy0vP+/b5UiqIoGZvXhRBCCCGE+HB88C0TQgghhBBCpIcEYiGEEEIIYdQkEAshhBBCCKMmgVgIIYQQQhg1CcRCCCGEEMKoSSAWQgghhBBGTQKxEEIIITLNV199RYMGDXBzc4v3/IULFxg/fjynTp1i4MCBuudnz57N//73P92iPULogwRikS0FBATg7u5OVFQU4eHhuLq6cuPGDUOXJYQQRs/Dw4OlS5cmeP7o0aM0btw43nPz58/n/Pnz/Prrr7J8tdArM0MXIIQ+VK9enebNmzNnzhwiIyNp27Yt5cuXN3RZQghh9OrUqcP9+/cTPH/y5En69u3LlStXAFi+fDlHjx5l2bJl5MiRI7PLFEZGArHItgYPHkzHjh2xtLRk/Pjxhi5HCCFEEp4/f46ZmRl58uQB4Pz589y9e5dt27aRK1cuA1cnjIG0TIhs6+XLl4SHhxMWFkZUVJShyxFCCJGE48eP06hRI93jEiVKoCgKx48fN2BVwphIIBbZlre3N8OHD8fd3Z2ZM2cauhwhhBBJeLd/uGDBgixevJhp06bh7+9vwMqEsZBALLKlHTt2YG5ujru7O59++ikXL17k5MmThi5LCCHEOxRF4fr161SqVCne86VLl+aXX35hzJgxXL161UDVCWOhUhRFMXQRQgghhDAOI0eO5PTp07x48QIbGxt69OjBnTt3+OGHHwA4deoUy5cvZ9GiRQAcO3aM8ePHs3r1akqUKGHI0kU2JoFYCCGEEAYzf/58SpYsiaurq6FLEUZMArEQQgghhDBq0kMshBBCCCGMmgRiIYQQQghh1CQQCyGEEEIIoyaBWAghhBBCGDUJxEIIIYQQwqhJIBZCCCGEEEbt/5x8xZB0vIztAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "est1 = smf.ols('Balance ~ Income + C(Student)', credit).fit()\n", - "regr1 = est1.params\n", - "est2 = smf.ols('Balance ~ Income + Income*C(Student)', credit).fit()\n", - "regr2 = est2.params\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "compare_linear_knn(data_train_linear, data_test_linear, data_dense_linear, ax1)\n", + "linear_knn_mse(data_train_linear, data_test_linear, ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "N = 100\n", + "x = np.linspace(-1, 1, N)\n", + "a, b, c = 0.5, 3, 3.2\n", + "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.2).rvs(N)\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", "\n", - "print('Regression 1 - without interaction term')\n", - "print(regr1)\n", - "print('\\nRegression 2 - with interaction term')\n", - "print(regr2)" + "data_train_semi_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", + "data_test_semi_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", + "\n", + "x_dense = np.linspace(-1, 1, 1000)\n", + "y_semi_linear = a + b/(1+np.exp(-c*x_dense))\n", + "data_dense_semi_linear = pd.DataFrame({\"x\": x_dense, \"y\": y_semi_linear})" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 86, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Change in AIC: 0.655361215896\n" - ] + "data": { + "image/png": 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+0H7Ks+1CCJGXbb20lbG7xrKz105c7VxZ4rvE2CXlKRKchRCvLTYW3n8fFi6E4sV144qzPThv3Aiff45WUbh/+jTL1WocHBx4MnQocYmJHAUKN2pEkybNaNSoFDNnfo7qnXd0Ezdfv647R/368N9Ng897fgEUtVrX++zvn83vQwghjCA6Pprh24ezJnQN1UtUJyYxxtgl5UkSnIUQr01Rns2LbGKS/gp8iYm6hUcyYm7+kkVGTpwgulw51ltZEXT5MlHR0Zg9ekTt2rXpa2fHJsDqww/57rsbuNy9gWozcOUKhISAo+NL38PzC6DIoidCiPzit4u/MWjrIO49ucfkppOZ1HQSFqYWxi4rT5LgLIR4bVrts+Bsapo2IN+7B2+8kXEQVRRwdn7WMZxSZGQkP//8M3aLF/NXbCxfm5jg5eXFhz160K5dOxwcHHQTM0+YAKtXU+cC2N0CotBN1pyJ0AxpF0BRq2WZbSFE/rDh/AaK2xQnuHuwTDH3muTHghAFQFQUfPnli3t8QRdsx48HG5tXO3/K4Jxej3NsLJQsCWFh6R//8CGUKZPyfFp27drFsmXL2LJlC2q1Nd+hwcGlCn8G78XFxQknJ55ND1epku5OPuCbQfDWW68++cXzdUtwFkLkZVsubqGsQ1lqONVgcavFWJpZSi9zNpAlt4UoAEJDdSvmOTi8+PH993D58quf/2U9zhpN2iWuUzI3h+RkuH37NjNmzKBChQq0bNmS/fv3U6ZMGeBP7E1b8yB+Er6+TpQpA/v3p38ujUZXw6t6vsc5OVmCsxAi74mKj6Lnxp60+7kdXxz5AgBbS1sJzdlEfiwIUQAoiq5Hd/z4F7fbuFE3Fjkr53/a+5tej/PLwuypU8dISHiH0qVLo9Fo8PT0ZPr06Xz11VecOXMGW9uS+DVIotNHhfm6Hfj56e75S09Wg3N6Pc75eYzzgQMHmDFjBlqtlk6dOjFw4MBU+5OSkhg7dixnz57FwcGBefPm4erqypYtW/j+++/17S5evMimTZuoUqVKTr8FIcRzgi4EMWjrIB7EP2CKxxQmNJlg7JLyHelxFqIASNkj/CIWFpCU9HrnT6/HWatNG2bVajWBgYE0aNCApk0boChmjBgxkkuXLhESEkLPnj1p06YNwT/9RFGTJExjHkGhQoBuruiMAn5Wh1gUpDHOGo2GadOmsXz5coKDg9m6dStXrlxJ1SYwMBA7Ozt27dpFnz59mDt3LgBt27YlKCiIoKAgPv/8c1xdXSU0C5ELrD+7nva/tMe5sDMn3j/BZ+9+Jr3MBiDBWYgCILPB+UWBNLPnf1mPc1xcHPPmzaNixYp07tyZe/fusWjRQkxMFGbP/oKw69cJHz0apk9n2r17tOzdm1OPymN68axuoPRL6nydoRoFZYxzaGgoZcqUoVSpUlhYWODr60tISEiqNnv27KFDhw4A+Pj4cPToUf3y5k8FBwfj6+ubY3ULIdJ68OQBAO0qt2Nhy4WceP8EtZxrGbeofEyCsxAFgLF7nDUaUKk0zJo1i7JlyzJq1ChKly7Npk2buHjxIkOGDMHcXMWyZSvp0qoVJebN0xVSrBicOoWzRTTJt+9D1aqAYYLz89PR5ecxzpGRkTg7O+ufOzk5ERkZmaaNi4sLAGZmZtja2hIdHZ2qzbZt2yQ4C2EkD548oPuv3Xlr6Vs8TnyMpZklQ+sNxdw0H48xywXy6Y8FIURKOdHjnHKMc8rgHB0dzZIl67lwoQETJ06kVatWfPrppzRo0CDF8VoUJZnBg4fTw6MJ5pcvw/TpgC7MJiWlHm9saZlxwJce55xx5swZrK2tqVSpkrFLEaLA2XR+Ex8Ef0BUfBSfNv0UazNrY5dUYEiPsxAFgKF7nFMugGJqqnu92NhYpk+fTtmyZVm2bDmFCxfixIkTbNu2LVVoTkhIoFu3biQlxfHeewNYuXAhJimWHXwahFPWb2Hx4h7nrATegrQAipOTExEREfrnkZGRODk5pWlz584dQDcePSYmBscUc2LLMA0hct6T5Cd0+7Ub/uv9KWlbkj/f/5PJHpOllzkHSXAWogDIyTHOKpXCTz+tp2LFikyePJlmzZqxevWPVK5ckdq1a6c51szMjNjYWAoXtmT27C8xf2697qQkXVDObJ1qtfQ4v0z16tUJCwsjPDycpKQkgoOD8fT0TNXG09OTTZs2AbBjxw7q16+P6r8/K2i1Wn7//XcJzkLkMGszax4lPGLau9M4NuAYNZ1rGrukAief/lgQQqSUE2OcVSotv/wSyMWL1QgNnUOTJpXYtGkTDRo04MiRtK9/8eJF7O3tcXZ25rfffqN0aRPUanSrpRQurG+XnJy259cQQzXS63HOr8HZzMyMyZMnM2DAADQaDR07dsTNzY0FCxbg7u6Ol5cXAQEBjBkzBm9vb+zt7Zk3b57++BMnTuDi4kKpUqWM+C6EKBjuxd1j3O5xTGs2DVc7V7Z234qJSvo9jSWf/lgQQqT0Kj3OWQnOt27dZt+ujXxzayh7TWpRuqyaNzRWqFavhgYN0oTZ/fv306FDBxo2bMjWBQsw8fDgrztqHN8G1Ing7a1vm1GPc0JC+rXIAiiZ4+HhgYeHR6ptw4cP139taWnJwoUL0z22Xr16rF+/3qD1CSFgw7kNfBT8EQ8THtKyYks6V+ssodnI8vGPBSHEU6/S4/zrr3DjxsvbTZgAjx9HMnHiRFatqsibhaLwsLNjWMlFDB+uoqRbom6lksWL0ahNMDUBFFi7di39+vWjQoUKLFq4EE6ehBo1aGexgtWroWJFdMsY/ie94GxlBWvX6lY5tLWFb799FnJfZ4xzQVoARQiRe92Lu8fgbYMJPBfI2y5vE/JeCNWdqhu7LIEEZyHyrCtXYOrU1L2kT6lUMHkyuLnpnmc2OPfpA9u3v7zd3LkKavVqvv56GPHx8dStu4P3a5hifXof5ywa88gdaIRuuUIzM94F9gOYQE90Dy5ehAoVdCecNo1H/zqT6Ag4p36t9IZqvPcePB0lMHAgzJoFxYvrnme1x9nKCj78EEaP1j2/dUu/3ooQQuSoafunsfnCZmZ4zmBMwzFy818uIsFZiDzq9Gm4cAFS/HVdb+FC+OuvVw/OtWrpHi9y7NgxpkwpzqxZc2jZsiEbHj/G9M92mP6lBv+2mNxK0XN77hwAO3fC7Nlqbt2qRv369fnuu++weK4b2fxXmDnzWQB+6uHDtMG5RAno0kX39cSJuuW3nx6X1ZsDv/sO7t599tzM7Fk4F0IIQ7sXd4+HCQ9xK+rGtGbTGFR7EO4l3I1dlniOBGch8ihFgbJloWfPtPt++y31XMqZDc5pnDyp684FktVqzv7zD+FXr7JO1YIaNYtR0cYG1YEDTO7/L8VLWjB0XCFMm6edxzkhoTAWFuYcOXKEIkWK6GdnSGn2bN0vAunp2DHjEu3sdMH5qaz2OBcunOqeRCGEMCitouXyg8vcib3DmYgz/O/g/6jgWIGj/Y/iaO2Io7Xjy08icpxBg3NiYiI9evQgKSkJjUaDj48Pw4YNS9UmKSmJsWPHcvbsWRwcHJg3bx6urq6GLEuIfOFFYfj51fuyHJwPHoSEBE5Wr853333HgwcP8PHx4dy5frzdwwRVOWD4cGI2FsPBGjBLvQDKtWvXaN26Na6ug7C0HEnRokUzfKmWLXWPV5VecM7PN/UJIfI+raJl4/mN9NrYiwSN7k7nCo4VWOa3LN2OBZF7GPTHi4WFBT/88AM2NjYkJyfTvXt3mjZtSq0UfwsODAzEzs6OXbt2ERwczNy5c5k/f74hyxIiX3hZcE55o5uiPFvZ71UkRETw+40b+AcHU61aNb777TcaNGjA229DD08o985/5/817QIof/zxB23btkWj0dC7tzdHj77662eGnZ1ukcGVK3XPr17NWo+zEELklMsPLtNzY08SNc8mpL/1+BaWppZGrEpkhkHnNFGpVNjY2AC6lafUanWa36T27NlDhw4dAPDx8eHo0aMo6d3tJIRIJeUy18/Ljh7nXbt2sWbxYg798w+fffYZp06d0q/496Lzm5jAvn0HadasGXZ2dhw9epQ333Q3WJidPl03XOXdd3WP+fOhRg3DvJYQQrwuRVG4E3snVWgGSNAkcCf2jpGqEpll8D9oajQa/P39uXHjBt27d6dmzdSr3ERGRuLi4qIrxswMW1tboqOjKVKkiKFLEyJPS7nM9fOyFJwvXICoKBISEliyZAkbfv2VmTY2NP/kE8pNmZLp82u1ySxcuIi3336boKAgihUrRmhoFoeKZEJmbmgUQojcYNP5Tcw8NJNvWn+DtZk18ep4/T5rM2tcCrsYsTqRGQafRdvU1JSgoCD2799PaGgoly5dMvRLClEgZPsY53r1iB00iHO+vtT/9VfWubjQpHp1yrVvn6nzgxZFUbC0NOd//5tNSEgIxYoVA7J+w54QQuQHD548oMfGHviv90etVeNg7cDqDquxNrMGdKF5dYfVuBV1M3Kl4mVy7BYaOzs76tWrx8GDB6lUqZJ+u5OTE3fu3MHZ2Rm1Wk1MTAyOjnInqRAvk53BWXnyBE1cHEUuXMDZxYVVq1ZRztMzw/bPnz8xMYklS5YSH5+AqekYypYtj5XVs/0SnIUQBdWWi1sYtHUQ95/cZ+q7U5nQeALmpuaUdyxP9RLVuRN7B5fCLrgVdZNVAfMAg36HoqKiePzf7e4JCQkcOXKE8uXLp2rj6enJpk2bANixYwf169eXO0qFyITsGuMcFRXFgPbtidBoaO3ry+nTp/F8QWh+/vzh4eFs3hzEhQvncHR0TDWrRsrXl+AshChoFEVh4bGFlLApwYn3TzDZY7J+MRMTlQmVi1Xm3bLvUrlYZQnNeYRBe5zv3r3L+PHj0Wg0KIpCy5YtadasGQsWLMDd3R0vLy8CAgIYM2YM3t7e2NvbM2/ePEOWJES+keUxzr//Dl9+CcDDR4849/ffDExKwqJkSTZt2pSpX1yfzpxx8uRJ/Pz8iImZxfDhQxkwoCrbt6ee0QOkx1kIUbBsu7yNGk41cLVz5eeAn7GztMPC1OLlB4pcz6DB+c0332Tz5s1ptg9PsdSZpaUlCxcuNGQZQuRLWR6qERSE4u7Ohvh4li9fTokSJfjkk08o0bx5puesMzGB6OjH+Ps3w9HRkTZt2uLu7qjfd/EiHD/+rP2VKxKchRD536OER4zcMZKVp1cyuM5gFrdeTLFCxYxdlshGskyAEHnUqwRnx/BQvlreCFZpUJKSmPruu0wNCcHf35/FK1Zgb2//Sq9tago2NnZ89913eHh4MGGCoz5z168PP/8MQUGpj+nb95VeQggh8pQdV3Yw4LcB3I65zcTGE5nsMdnYJQkDkOAsRB71okVNnl8AxSYqnOsuDbHa9hVdunblzz17mDVrFuPGjXulewo0Gg2jR4/mwYMJaDQl6NKli76WpyF+1CjdQwghCoofTv9An6A+VClWhT/6/0GdknWMXZIwEAnOQuRRr9LjbBYfwwONOW2bNEFRFLZt20bLV1zfOi4uju7du7Nlyxbc3Aai0ZTIVC1CCJFfxSfHY21uTbs32zH10VTGNhqLlZnVyw8UeZb8qBMij3pRWE05s4WiKFwL/ZPzt+7j6urKn3/++cqh+c6dOzRt2pStW7eyePFi3N2rvPbKhEIIkVfFJsXyUfBHNFrRiCRNEg5WDkz2mCyhuQCQHmch8qjMTEeXnJzM0KFDsTlzAXcHJ44e/REbG5tXep27d+9Sr149oqKi2LJlC76+vuzb9/pLegshRF60L2wf/YL6EfYwjJH1R6JVtC8/SOQbEpyFyKMynI5u5Upab/+LpCQ1wauCqXrjBs1tK3OrStNXDs0AxYsXp0ePHnTu3Jm33noLSDsU5EXjrYUQIj+IT45n3O5xLDq+iIpFKnKg7wEal25s7LJEDpPgLEQuEx4OM2boenHNzOB//4MiRdK2y7CXd/ZsHhVpy95L94iPv0nnrl25HdeAv5xb4/0KdaxYsYKGDRvy5ptvMmvWrFT7srSktxBC5GEmKhMO/HuAYXWHMdNrJjYWr94RIfI++VEnRC5z6hT88QfUrg3btunmQE6PVguFkh/Bw4fPHtHRaG7coFeoJV+pG+C3axcNfvqJEw2GEV20YqZeX6vVMn78ePr375/hgkQSnIUQBcGT5Cd8tvczHiU8wtLMkj8G/MGCVgskNBdg0uMsRC6TkACVK8PAgfD992mXr36qzNltjPihHax9dgFPVqu5nJhIsmMhurXtiaenrqs6s8E2Pj6e3r17ExgYyAcffMCiRYvSbff8dHcSnIUQ+c3hG4fpG9SXy1GXqVysMt2rd5eb/4T0OAuR2yQmgqWl7mszs4yDs83jO5yq2kvf27zu668plJhIz1q1GD58KPb2z8Z3ZCbYRkVF4eXlRWBgIF988QVLlizBzCz9363T63GWMc55y4EDB/Dx8cHb25tly5al2Z+UlMSIESPw9vamU6dO3Lx5U7/vwoULdOnSBV9fX/z8/EhMTMzJ0oUwqPjkeEbvHE2TlU1I1iaz5709dK/e3dhliVxCgrMQuUxCAlj916nxfEBNyTL+IYlWuhX/5s2bR8+ePWnSpAn79u3DwcH2lXuECxUqhI2NDRs2bGD06NEvXBglvZsDpcc579BoNEybNo3ly5cTHBzM1q1bufLcmKDAwEDs7OzYtWsXffr0Ye7cuQCo1WrGjBnD1KlTCQ4OZvXq1Rn+giVEXjR8+3C+PPolg94ZROgHoTQr18zYJYlcRH7UCZHLJCQ863F+UXC2iH9EgpU948ePZ9SoUXTs2JFt27ZhZ2f3SmOQjxw5QnR0NFZWVuzcuZOOHTu+tEZTU7h6FY4f1z0ePJDgnJeEhoZSpkwZSpUqhYWFBb6+voSEhKRqs2fPHjp06ACAj48PR48eRVEUDh8+TOXKlXnzzTcBcHR0xNTUNMffgxDZKVGdyP0n9wGY1GQSO3vu5Js232BraWvkykRuI90EQuQmR49SLeQ4ZWKABRBwC97YAPydtqnr9YMEJrkx59B3DBo0iK+//lofYExN4cYN2LNH1/baNahUKe051q5dS79+/ejTpw/Lli3L9PLbtWvDt9/Cvn265yYmUK7cK79bYSSRkZE4Ozvrnzs5OREaGpqmjYuLCwBmZmbY2toSHR3N9evXUalU9O/fn6ioKFq3bs3777+fo/ULkZ3+vP0nvTf3prR9abZ130YZhzKUcShj7LJELiXBWYjcZNYsSl1UuG9fHq7BG4lgdRswT91Mo9VyKMaaFQ+s+OSTT5g2bVqq0FuzJqxfr5vK7qlu3Z59rSgK06ZNY8qUKTRr1ow5c+a8Upn9+ukeouDRaDScPHmSDRs2YG1tTZ8+fXB3d6dBgwbGLk2IV5KoTmT6genMPjQb58LODPMelunOA1FwSXAWIjeJj+fIO2O4WbUFDT+B7y7D4PehrO+zJklJSXTr1o2ND+rg5dWC6dMbpTlNgwbPepufl5SUxPvvv8/q1avp3bs3y5Ytw8LCwkBvSORGTk5ORERE6J9HRkbi5OSUps2dO3dwdnZGrVYTExODo6Mjzs7O1KlThyL/TS7etGlTzp49K8FZ5ClXoq7g/4s/f9/9mz61+jDPZx4OVg7GLkvkATIqUYhc4s8/4VHEE8IirTMc45yQkIC/vz8bN26kRYtWNG6cNjS/THR0NPv27WPatGmsXLlSQnMBVL16dcLCwggPDycpKYng4GA8PT1TtfH09GTTpk0A7Nixg/r166NSqWjcuDGXLl0iPj4etVrNiRMnqFgxc3OEC5FbFCtUDCszK37r9hsr262U0CwyTXqchcgFoqKgYUP4xzKeW+aF6PaObnvK4PzkyRM6dOjAzp07WbJkCXfu1H+lG/Ju3ryJs7MzTk5O/P3339jZ2WX/GxF5gpmZGZMnT2bAgAFoNBo6duyIm5sbCxYswN3dHS8vLwICAhgzZgze3t7Y29vrF8Oxt7enT58+BAQEoFKpaNq0Ke+++65x35AQmXAm4gxzj87l+7bf42DlwLEBx2RohnhlEpyFyAWio8HVFSpZxvPdWmuoqtv+NDjHxsbStm1b9u3bx/fff0+/fv345JPMz2Rx9OhR2rZtS//+/Zk9e7aEZoGHhwceHh6ptg0fPlz/taWlJQsXLkz32Hbt2tGuXTuD1idEdknWJDP70GymHZhGUeuiXIm6QtXiVSU0iyyRoRpC5AIPH4K9PRAfD4UK6bebmsKTJ4n4+vqyf/9+1qxZQ7//7srL7Gp9gYGBNGvWDHt7e/2xQghREPxz9x/qf1+fyfsm06lqJ85+dJaqxasauyyRh0lwFiIXePTov+D85AlYW+u3q1QaPv/8Kw4dOsTatWvp0aOHfp+ivHi1PkVRmDNnDp07d+add97hjz/+oFJ6c9IJIUQ+pCgKfYP6Ev4onA2dNvBjxx8pWqioscsSeZwM1RAih+3cCUd+DKP/Nn9MtGoAyiXBKoD4aLCxASAxMZFDhw5z+/YFVq1aQbeU88nx8h7nsLAwpk6dSpcuXVi1ahVWT5cjFEKIfOz8vfO8YfsG9lb2rO2wliLWRShuU9zYZYl8QoKzEDnsl1+g7I3rWFiZsrvbKv326tWBBjZQuDDJycl06dKF27fb07t3P3r39khznoyCc2JiIpaWlpQrV47jx49TtWpVTGRZPyFEPqfRavjq6Fd8uvdTBr4zkIWtFlK5WGVjlyXyGQnOQuSw5GRoWDMOJ+sS9JhTI81+tVpNjx49CAoKokGDmTRunP54PK027VCN8PBwfH19GTp0KO+//z7u7u6GeAtCCJGrXLx/kT5Bffjj5h90eLMDk5pMMnZJIp+S4CxEDktOBit1rH5IRkoajYY+ffoQGBjIl19+yYULVVPN45ySoqTucT558iR+fn7ExcVRTta/FkIUEJvOb6L7xu5Ym1mzzn8d3dy7yYwZwmDk77dC5LDkZLBUx0Hhwqm2K4rC4MGDWbduHTNnzmTUqFFpFkBJKeVQjS1bttC0aVMsLCw4cuQIzZs3N/C7EEKInKdVtFy8f5F9Yfu4cO8CWkXL2y5v0/7N9pz96Czdq3eX0CwMSnqchchh+uD8XI/zp59+ytKlS5kwYQITJkwA0q4cmNLT4Hzp0iU6dOjAO++8w5YtW3B2djb0WxBCiBynVbRsPL+RXht7kaBJwERlws8df6Zj1Y781PEnY5cnCggJzkLkhH//he++A6DrP+BiexRa1tHvnjdvHjNmzGDgwIHMmDFDv/1lwVmlgkqVKvHzzz/j6+tLoRRzQAshRH5xJuIMi48vZsXpFWgVLaAL0u9teo8aTjXkJkCRYwwanO/cucPYsWN58OABKpWKzp0707t371Rtjh07xkcffYSrqysA3t7eDBkyxJBlCZHzQkJg2zbw9ycBeFirGcV66FZeW716NaNGjSIgIIAlS5ak+jNjRsE5NjaW7dsPYW5eEahIp06dcuZ9CPEKunbtipnZsx8znTt35qOPPuLJkye0bt06Tfs+ffrQp08f7t+/T0BAQJr9H374IV26dCE8PJxevXql2f/xxx/j5+fHxYsXGTRoUJr9n3zyCc2bN+f06dOMGDEizf6ZM2fSsGFDjhw5wsSJE9Psnz9/PrVq1WL37t3873//S7N/6dKlVK5cmd9++40vv/wyzf41a9ZQqlQpfvnlF7755ps0+zds2ECxYsVYtWoVq1atSrN/27ZtFCpUiCVLlrB+/fo0+/ft2wfA3Llz2bp1a6p91tbW/P777wBMnz6dkJCQVPuLFi3Kr7/+CsCECRM4evRoqv2urq6sXbsWgBEjRnD69OlU+ytVqsSyZcsAGDhwIJcuXUq1v1atWsyfPx+Anj17cvPmzVT76zaoy3sj3+Ofu/8wZckU7pvc54nNEypfqIz9I3ucPZ3ZqNqoC83XgRvANUgggS5bu9AzoCejR48GSHcJePm3J//2IP1/ew0aNGDWrFkAdOzYkcjIyDTvLyWDBmdTU1PGjx9PtWrViI2NpWPHjjRq1IiKFSumale7dm2WLl1qyFKEMK7kZKhTBz75hFW7oFwfqFhdNza5X79+eHl5sXbtWkxNTVMdll5wvn37Nn5+fly9+j737tkCqf9/EkKI3Eqj1fDY/DH3it0jrnAcjtGO2D+yJ0IVQfVvqgOgKqHC+ok1NrE2qLS6joTKVOavQX9R57s6xB+Oh2Td+UxUJliYWhjr7YgCSKUoipJTL/bhhx/Ss2dPGjVqpN927NgxVqxY8cLgfPPmTby8vAgJCdH3TAthbKNHw2+/pb/PzEzXwVymzH8bFi2Cixdh8WIaNoQvvgC1ej8+Pj7UqFGDkJAQbG1t05xnwgQ4cgTq19c9v3fvHhs2bCAhIR5X1/6MHWvPBx8Y5v2J7FEQr18F8T2L1LSKln8f/ouCQnnH8jxMeEizH5px/t55EjWJAKhQMaf5HMY0GkNcUhxbLm6hWolqVC5aGUszy3TPufH8Rt7b9B7x6niszaxZ3WE1/lX8MVHJXAcie7zs+pVjY5xv3rzJ+fPnqVmzZpp9p0+fpm3btpQoUYJx48bh5uaWU2UJkWUnT8LEic9CbUo9e0JYWIrgnJwMFhb6L69fv8TgwW0pV64c27ZtSzc0A/ToAQ4Ouq/v3r3LunWLsbS05MMP+/DGG/ak8xdHIYTINlpFy+UHl7kTeweXwi64FXXLMKQuOraI0xGn+efeP5y9e5a45Dj61OrDynYrsbe0p5xDOZqXa457CXfcS7hTpXgVCpnr7suwsbChW/Vu6Z73KROVCf5V/Kleonqm6hHCEHIkOMfFxTFs2DAmTpxI4eem4KpWrRp79uzBxsaG/fv3M3jwYHbu3JkTZQnxWtRqKFcOKqdzT4qTE8TEpNiQlATm5gA8eZLEyJFDsLOzY+fOnRQrVizD13B31z0AtNpiWFgkM3jwQFxdS2bjOxFCiLSe7+G1MrVifOPxFLEuwtl7Zzl77yzOhZ0J7BQIwJI/lxAdH417CXf6v9Uf9xLu1HOtB4BKpWJjl42vXZOJyoTKxSrLzYDCaAwenJOTkxk2bBh+fn60aNEizf6UQdrDw4OpU6cSFRVFkSJFDF2aEK9FrdZn4TRsbeHx4xQbkpLAwoKHDx9y9ep9zM1j2Lv3d0qVKvXC19BqtcycOZNevXpRpkwZ/Q0MQghhaJcfXNaHZoAETQJT9k8BwNHKEfcS7lQu+izA/vn+n9hYpF3YSYj8xKDBWVEUJk2aRPny5enbt2+6be7du0exYsVQqVSEhoai1WpxdHQ0ZFlCZIvkZN1Y5vTY2T3X45ycjNrEhA4dOpCYuIylS+e9dDns+Ph4evfuTWBgIKampvq5nYUQIidcuH9BH5pT2tBpA/5V/NMsNCKhWRQEBg3OJ0+eJCgoiEqVKtGunW7qrVGjRnH79m0AunXrxo4dO/jpp58wNTXFysqKr776Slb9EXnCi3qc7ezgm290s9ABdD+TyIXIWPY9+hBLy3I0bfricfz37t2jXbt2/PHHH8ydO5dRo0Zlc/VCCJGx2zG3Gb1zdJrt1mbWuJdwl5/TosAyaHCuXbs2Fy9efGGbnj170rNnT0OWIYRBvKjHefhw3exzT5mc/Ju7j+7Qtas3XbuaUbZsxue9du0a3t7e3L59m8DAQDp27JitdQshxItcj75O8zXNuRt3l888PuPzw5+nmsXCrajcwC8KLlk5UIgsUqszDs6urtC5s+7rb7/9FvW17dRt1IguP7bnZR01xYsXp0KFCvz444/Uq1cve4sWQogXuBZ9jSYrmxCfHE/IeyHUfqM23dy7ySwWQvxHgrMQWZScnPFQjae2bt3K4MGDCS5VCu/u3V/4580tW7bg5eWFra2tzCwjhDCKkrYl8SznybhG43AvobsPQ2axEOIZ+bVRiCx6UY8zwKlTp+jSpQtvvfUWXk2bYmpllW47RVGYMmUK7dq1Y+7cuQaqVgghMvbHzT+Iio/C0sySNR3W6EOzECI16XEWIotS3Ry4aFGqZQQTEhOJOXaM31Uq6tnYYB4SQnqrlSQmJvL++++zZs0a+vTpIzNnCCFy3O+Xf8d/vT8BVQNY02GNscsRIleT4CxEFqW6OXDLFvDygrffJiEhgY9Hj+amSsW8efOwLF8eVCpIsdQ8QFRUFP7+/uzfv5/p06czadIkuVNd5JgDBw4wY8YMtFotnTp1YuDAgan2JyUlMXbsWM6ePYuDgwPz5s3D1dWVmzdv0rp1a8qVKwdAzZo1mTZtmjHegsgG68+up8fGHlQvUZ2vWnxl7HKEyPUkOAuRRal6nB8+BC8vtO+8Q8/Ondl45QpbtmyhfJs2GR6vWwzlKuvWraN79+45UrMQABqNhmnTprFy5UqcnJwICAjA09OTihUr6tsEBgZiZ2fHrl27CA4OZu7cucyfPx+A0qVLExQUZKTqRXZZfmo5A38bSKPSjdjabSv2VvbGLkmIXE/GOAuRRal6nKOjwcGBTz/9lF9//ZW5c+fSJoPQfPHiRRRFoXz58ly+fFlCs8hxoaGhlClThlKlSmFhYYGvry8hTycd/8+ePXvo0KEDAD4+Phw9ehRFUYxRrjCAJ8lPmHVoFj4VfdjRc4eEZiEySYKzEFnklbgNqzlTYepUiIhg/a5dzJw5k/fff5+RI0eme8z69eupWbOmvufOKoMbBoUwpMjISJydnfXPnZyciIyMTNPGxcUFADMzM2xtbYmOjgbg5s2btG/fnp49e/Lnn3/mXOHitSmKglbRUsi8EPv77CeoaxCFzAsZuywh8gwZqiHEC2i1up7l9IxQf4Hpv6WhfFmu9+5NrxEjaNasGV9//XWascqKojBnzhwmTJhAo0aN6NWrVw5UL0T2K1GiBHv37sXR0ZF//vlHN91icDCFCxc2dmniJbSKlpHbRxKTFMPytstxtXM1dklC5DnS4yzEC3z0EdjY6JbQTvMwj0f10Ydc692buuvXU6ZsWTZs2ID5c5M7JycnM3DgQCZMmEDXrl3ZvXs3xYoVM9I7EkLXwxwREaF/HhkZiZOTU5o2d+7cAUCtVhMTE4OjoyMWFhY4OjoC4O7uTunSpbl+/XrOFS+yRK1V039LfxYeX4iDlQMq5EZkIbLipcFZq9Wybdu2nKhFiFwnKgp+/BESE9M+3nnzCbEaNX5+fmg0GrZu3UqRIkXSnOPMmTP88MMPTJw4kXXr1snwDGF01atXJywsjPDwcJKSkggODsbT0zNVG09PTzZt2gTAjh07qF+/PiqViqioKDQaDQDh4eGEhYVRqlSpHH8PIvMS1Yl03dCVVadXMfXdqXzZ4kuZwUeILHrpUA0TExOWL19O63TmoBUiv9NowCSDXy+V+HhGTJzIpUuX2LFjB5UqVUq1Py4uDhsbG2rXrs25c+dSzVgghDGZmZkxefJkBgwYgEajoWPHjri5ubFgwQLc3d3x8vIiICCAMWPG4O3tjb29PfPmzQPgxIkTLFy4EDMzM0xMTJg6dSoODg7GfUPihbpv7M7G8xuZ7zOf4fWHG7scIfK0TI1xbtiwId9//z2tW7fG2tpav10uliK/02jA1DT9fY8jIth+5QpfL12aprfu5MmTtG3blgULFhAQECChWeQ6Hh4eeHh4pNo2fPizUGVpacnChQvTHOfj44OPj4/B6xPZ54N3PqCNWxv6vtXX2KUIkedlKjg/Haqxbt06/TaVSpVm+iIh8puMgvO6detoHRtLt7590ywcsWXLFrp160bx4sWpUqVKDlUqhBDP3I27y97re+ni3gXvCt7GLkeIfCNTwXnPnj2GrkOIXClNcFYUTh4/zgf9+3NfpWLmf9PKPbVw4UJGjBhB7dq12bJlS6opv4QQIieEPwrHe403Nx/f5N2y7+JU2OnlBwkhMiXT09FdunSJK1eukJSUpN/Wvn17Q9QkRK7xfHCOmT6dtz77jCjAtFgxTGxt9fsOHDjA8OHD6dChA2vXrqVQIZkbVQiRsy4/uEzzNc15mPCQ7T23S2gWIptlKjgvXryYY8eOcfXqVTw8PDhw4ADvvPOOBGeR72m1z4JzUlISW5Yt44KZGf7Hj/PWW28BujmaVSoVTZs2ZfPmzbRp0wbTjAZGCyGEgYRGhtJiTQs0ioa9vffytsvbxi5JiHwnU/M479ixgx9++IFixYoxa9YsgoKCiImJMXRtQhjd0x5nRVEYMmQID27dokP37vrQfPv2bd59911Onz4NQLt27SQ0CyGMYn/YfsxMzDjQ54CEZiEMJFM9zpaWlpiYmGBmZkZsbCxFixbVT4wvRH72NDh/++23fPfddxyrVYu3GzYEIDQ0FF9fX6Kjo9MsVyyEEDklLikOGwsbhtYbSq+avXCwcjB2SULkW5nqcXZ3d+fx48d06tQJf39/OnTooO9xEyI/02ggNPQ0w4YNw9fXl9rVqoG1NTt27KBx48ZotVoOHTok03MJIYwi6EIQ5ReW50zEGQAJzUIYWKaC85QpU7Czs6Nbt26sWLGC2bNnM2vWLEPXJoTRPXmSyKefTqRChQqsW7cOk4QEzl6/jq+vL+XLl+fYsWPUqlXL2GWKAigoKEj/9cmTJ1PtW7t2bU6XI3KIVtFy8f5F9oXtY+7huXRc35GyDmUpZS+rNwqREzIVnBVFISgoiMWLF+Pq6oqdnR2hoaGGrk0Io3ry5AkXL14mOTmBoKAg7O3tISGByjVrMmnSJA4ePIirq6uxyxQF1KpVq/Rf/+9//0u179dff83hakRO0CpaNp7fyFtL36LZD80Ys3sMbxZ7k509d1LEuoixyxOiQMh0j/Pp06cJDg4GwMbGhqlTpxq0MCGMSVEU+vXrx5MnicycOZ3SpUszfPhwkh49wszWlqlTp2KbYio6IXKaoijpfp3ec5E/XH5wmfc2vUe8Ol6/7WrUVSJiI4xYlRAFS6ZuDgwNDWXTpk366efs7e1JTk42ZF1CGEebNrB3L8nJyXyfnMwK1RYsx6tIGpXATK0WMxMTKFrU2FUKgUqlSvfr9J6LvE9RFEIjQ1OFZoAETQJ3Yu9QuVhlI1UmRMGSqeBsZmaGRqPRX4yjoqIwMclUZ7UQecvVqxyaMYOWI0cSEBDAX399y5Mn3YiOPsj3339Puw4dwNra2FUKwbVr1/Dz8wPgxo0b+q8BwsPDjVWWMIDjt44zbvc4QiNDsTK1IkGToN9nbWaNS2EXI1YnRMGSqeDcq1cvBg8ezIMHD5g3bx7bt29nxIgRBi5NiJyXFBPD4E8/pdJbb9Fv6FCaNbuHg0MCv+/fT926dY1dnhB627ZtM3YJwsAuP7jMpD2TCDwXSPFCxZniMYViNsXoH9SfeHU81mbWrO6wGreibsYuVYgCI1PBuW3btlSrVo0//vgDRVFYsmQJFSpUMHRtQuSohw8fkhQRgcbent82b6ZQoUJYWyfwyy8/Ureu3AQocpeSJUumeh4dHc2ff/6Ji4sL7u7uRqpKZJdLDy5RbUk1LE0tmdx0MqMbjsbW0hatouVt57e5E3sHl8IuuBV1w0QlfwEWIqdkKjgDlC1blsKFC6PRaADdimlvvPHGC4+5c+cOY8eO5cGDB6hUKjp37kzv3r1TtVEUhRkzZrB//36srKyYPXs21apVy8JbESLrNBoN3bt350eNhk69euHs7IyFhQUuLlC6tLGrEyKtQYMG8fHHH1OpUiXu3r2Lv78/7u7u3Lhxg86dO9OnTx9jl/hKtIqWyw8uF+hAGJMYw9GbR2lRoQWVilbiyxZf0rlaZ5wLO+vbmKhMqFyssoxpFsJIMhWc16xZw+LFiylWrFiqsc2//fbbC48zNTVl/PjxVKtWjdjYWDp27EijRo2oWLGivs2BAwcICwtj586dnDlzhilTphAYGJjFtyNE1kyePJnff/8da5WK2QsWUKpGDfr166dfOVCI3ObmzZtUqlQJgI0bN9KwYUM+//xzYmNj6datW54Kzk+nWXs6Y8TTIQj+VfwLRHhO1iTz3anvmLp/Ko8SHnFz1E2KFSrGsHrDjF2aEOI5mQrOq1evZvv27Tg6Or7SyUuUKEGJEiUAKFy4MOXLlycyMjJVcA4JCaF9+/aoVCpq1arF48ePuXv3rv44IQwtMDCQmTNn4uzkhHlkJJ9Mn07fvn0BJDiLXMvM7Nnl++jRo3Tu3BnQXWvz2s3bz0+zFq+O571N71G9RPV83bOqKAobzm1g4p6JXIm6QtMyTfm8+ecUK1TM2KUJITKQqeDs7Oz82nPW3rx5k/Pnz1OzZs1U2yMjI3F2fvZnKGdnZyIjIyU4ixwRGhpK7969sbKyIu7BAxRzcyZ98ol+vwRnkVu5uLiwZs0anJ2dOXfuHE2aNAEgISEBtVpt5OpezZ3YO2mmWYtXx3Pi9ol8HZyvRV+j26/dqFK8Clu7baW1W2uZSlCIXC5TwblUqVL06tWLd999FwsLC/32p71yLxMXF8ewYcOYOHEihQsXzlqlQmTRunUQFvbsedGi8EHAfWJXruTXOXMYZmqKmZkZ/bt3x3TdulTHSnAWudWMGTNYsGABR44cYd68edjZ2QFw+vRp/P39jVzdq3Ep7IK1mXWa8Nx7c2/+uPkHi1svNlJl2S80MpTfL//OuMbjqFCkAgf6HqBeyXqYmsiFRoi8IFPB+Y033uCNN94gOTn5lRc+SU5OZtiwYfj5+dGiRYs0+52cnIiIeLbqUUREBE5OTq/0GkK8yKhR0K0b2Njonn/yCbxvHcyDyZNxSUqiffv2FC9RAlOACRNSHSvBWeRWRYsWZdq0aWm2169fn/r16xuhoqxzK+rG6g6rU41xXthqIefuncPBygHQDWsIfxxOafvsv1s3J25MvPHoBpP3Tmb1mdU4WDnQ761+FLcpTsNSDbP1dYQQhpWp4DxkyJAsnVxRFCZNmkT58uUz7J329PRk7dq1+Pr6cubMGWxtbWWYhshWcXEwfTo8HW00cybM/d8MiiYk8NfAgXywdClxcTB/PiTHA1OeHRsbK8FZ5E4ffPDBC/d/++23OVTJ6zNRmeBfxZ/qJapnGF63Xd5Gu5/b0btmbz5p+gnlHMtly2sb4sbElEG8sHlhfj77M4uP63rNRzcczYTGE3C0frV7hoQQucMLg/OMGTOYNGlShhfol12YT548SVBQEJUqVaJdu3YAjBo1itu3bwPQrVs3PDw82L9/P97e3lhbWzNz5sysvA8h0qXVQnw8FCqke677i4kJ4Veu4Gpvz4IFCwC4eBEWL4ZBg1IfP2UKFCmSoyULkSmnT5/GxcUFX19fatasiaIoxi7ptbxsmrW3Xd5mcJ3BLD25lNWhq+lTsw+Tmk6irEPZV+oxTtYkE/YwjIsPLtK8fHP+ffgv3X/tTrJW99fUeHU8nQM7U8GxAsffP46jtSM///Mzu67uws7SLtWj31v9MDUx5Xr0dWKSYrCztMPWwpbd13bTN6gv8ep4rEytMDUxpat7V6Y1m2aQHnMhRM55YXB+Gnb79euXpZPXrl2bixcvvrCNSqXis88+y9L5hXiZ+HiwtNT1Gj969AgfHx/gIM72jnTp0wszKytAF7BLltQFZSHygsOHD3P48GGCg4PZunUrHh4etGnTBje3/LmKnIutCwtaLWBso7HMPjSbZaeWEXI9hEtDL7H5wuZUPcY/tP+BhqUa4mjtSCHzQhz89yCfH/mcSw8ucS36Gmqt7ubJMx+cISo+Sh+an1JQKGlXkkLmut+4r0VfY8fVHTxOfExsUiwKCiYqEwa8PQCAmQdnsvyv5enWnaBJwAorJjSeIKFZiHzghcH56epTstSwyKvi4uDp/ajbt2/n2LFjgJYhAwdiZv6sR0qrhTw2g5co4ExNTWnatClNmzYlKSmJrVu30qtXL4YMGULPnj1fevyBAweYMWMGWq2WTp06MXDgwFT7k5KSGDt2LGfPnsXBwYF58+bh6vpsBc3bt2/j6+vLkCFD6N+/f7a/v4yUtCvJotaLGNd4HNeir3E16iq9NvYiQZMA/NdjvEE3Nd/WblvxreRLkiaJfx/+S/US1elYpSOVi1amUtFKuBVx48ajG2luTLQ2s2Zpm6VYmlkCMLHJRCY2mQjohmHEJcURkxSjnwFjSN0htKzYkseJjzl55yRfn/g6Vc0JmgTuxN7J1zOECFFQvDA4+/n5vfDgly2AIoSxXL0KZ8/C3btgba0hOVnLkiVLsLS0BMyxMTEDq2czxEhwFnlRUlIS+/btY+vWrdy6dYtevXrh7e390uM0Gg3Tpk1j5cqVODk5ERAQgKenZ6o59gMDA7Gzs2PXrl0EBwczd+5c5s+fr98/e/Zs/RR4xuBq54qrnSv7wvbpQ3NKw+sNp1oJ3Sq0XuW9CP0wNN3zpHdj4uoOq3Ermn7PvYnKBFtLW2wtn03RWtO5JjWddVOtNizVkBV/rUgTxF0Ku2T5vQohco8XBue8dHOJECl98glcugSmpneIiFhLp06HOXDgAGvWrGHQIBOUhAQoaqdvL8FZ5DVjx47l8uXLNG3alCFDhuhXEcyM0NBQypQpQ6lSpQDw9fUlJCQkVXDes2eP/sZwHx8fpk2bhqIoqFQqdu/eTcmSJSn09OYBI0pvKjtrM2s+rP0hZR3KvvT4zNyY+CpeNYgLIfKWFwbnkiVLZuokXbp04ZdffsmWgoTIDomJULNmMKtW+VGmTBmCgsIYNWoUPXv25MMPgfgE+G98M0hwFnnPli1bsLa2JiwsjDVr1ui3Pw23p06dyvDY5xeecnJyIjQ0NE0bFxddL6mZmRm2trZER0djaWnJd999x4oVK1ixYkU2v6tXlx1B9WU3Jr6K7A7iQojcJVPT0b1MYmJidpxGiGyh0Wj466/zhIUtxcOjKfaHDzO8cmWGli8P337LADWY/H0aatfQHyPBWeQ1Fy5cMMrrLl68mN69e2PzdGJ0I8uNQTU7g7gQInfJluAsS4SK3GT9+vWEhTnSqpU3Z87M5pSi4FCzJqZ//w1ADS1oKlfDLMX4TAnOoiB5fuGpyMjINAtPOTk5cefOHZydnVGr1cTExODo6MiZM2fYsWMHc+fO5fHjx5iYmGBpaZmpGxINRYKqECKnZEtwFiI3ePon6q5duzJnzgPCwrbx8OFDihUqhOnSpeDgAMDoQGg7FyyLPjtWgrMoSKpXr05YWBjh4eE4OTkRHBzMl19+maqNp6cnmzZt4q233mLHjh3Ur18flUrFjz/+qG+zaNEiChUqZNTQLIQQOSlTUWHNmjU8evQow/15feJ9kfeFhoby9ttvc/nyZQAiIx9w/nwoq1atwjQhAayt9W1NTHRBOSUJzqIgMTMzY/LkyQwYMIDWrVvTqlUr3NzcWLBgASEhIQAEBATw8OFDvL29WblyJaNHjzZy1UIIYXyZ6nG+f/8+AQEBVK1alY4dO9KkSZNUwzM+//xzgxUoxMvs2LGDTp06YWdnR3x8PIsWLSIioja9enWjU4cOoNGAxbOp59ILzhqNBGdRsHh4eODh4ZFq2/Dhw/VfW1pasnDhwheeY+jQoQapTQghcqtMRYWRI0eyc+dOAgIC2LRpEy1atOCrr77ixo0bAK80DZIQ2Wnp0qX4+vpSvnx5/vjjDyIiIhg5ciQODsX56KP3dUsHWltDil/0pMdZCCGEEFmR6aigUqkoXrw4xYoVw9TUlEePHjFs2DDpbRZGs27dOj744AN8fHw4ePAgcXFxdO7cmWrVqlGqVHksLU10wfm5uWYzCs6mpjlYvBBCCCHynEwN1fjhhx8ICgrC0dGRgIAAxo4di7m5OVqtlhYtWjB27FhD1ylEGv7+/nzxxReMGDGCmJgY2rZti7m5OVu2bMHX1xRzc+DJk1Tjm0F6nIUQQgiRNZkKzo8ePWLRokVpFkQxMTFh6dKlBilMiPTcvXuXcePGMX/+fOxbtWL08eMo48djp9VyVlEwNTVFVbEiZzRgWgtQFKhdO9U5JDgLIYQQIisyFRWGDRuW4SqCFSpUyNaChMjI+fPnqV+/Pr/88gunT5+G8HC4fJmPP/oIS0Vh9dKlqBISICGBKmUTuH4uQbeE4NGjqc4jwVkIIYQQWSFRQeQJe/fupWHDhsTFxbFv3z7dbADx8azetIl5ixYxdMQI+g0cCGZmYGZGgtoMc2vd188nYgnOQgghhMgKiQoi1wsKCsLHxwcXFxeOHTtG3bp1AdDExTFs7Fh8fHz44osvUh2TnIxujHM6JDgLIYQQIitk5UCR673zzjt07tyZxYsX4+DgwK1b8MGgGDYnJIHNFqysvOnWLfU/5ehoCc5CCCGEyF4SnEWulJiYyNKlSxk8eDCurq6sXbtWv+/kyTj27bqBFoWpM97ijTcs0hzfty8ULZpmMyDBWQghhBBZI8FZ5DpRUVF06NCBAwcOUKVKFby9vfX71Go1U6fOQZVUA1Uha4YPf+OVzy/BWQghhBBZIVFB5CpXrlyhQYMG/PHHH/z444+pQrOiKAwdOpRTp85S1700ZjY2WXoNWXJbCCGEEFkhPc4i1zhy5Ajt2rVDURRCQkJo3Ljxs52KwsW336bd6dMMKF4D67tjIRuDs/Q4CyGEEOJlJDiLXMPExIQ33niDDRs24Obmlmrfll9+wef0aX5t3Ji3357A+fMmVP3CJYuvI0tuCyGEEOLVSR+bMCpFUTh48CAA9evX56+//koTmk+cOMFHffuSYGrKqJ07uVapNVcqtoSaNbP0mtLjLIQQQoiskKggDC4pCZ48Sft49CiZfv2G0LSpF3v37gV0vc4p/fvvv7Rt25ZSxYpRuHhxrK2tSUwEK6us1yPBWQghhBBZIUM1hEFpNFCkSNqgCgqJiRq02i8wN/+Kxo3TTin36NEj2rRpQ3x8PGt++gnToUMBSEiQ4CyEEEKInCdRQRiUWp22x/n8+X8pX746Jia2rFjxCyYmlmg0Kv0xGzaAt7eWChWucPbsV1SocJUvppXkeqQ1LVrA999DoUJZr0mCsxBCCCGyQnqchUFpNGlvujt8+DA3b95k+/bteHl5MXSoLmA/deiQwr//7uPBg9mMHDmKli2LYn/+MkWWWDN6tK5N7dpZr0mCsxBCCCGywqDBecKECezbt4+iRYuydevWNPuPHTvGRx99hKurKwDe3t4MGTLEkCWJHJYyOEdGRuLk5ET37t1p0aIFxYoVA8DMLHVwPnjwKJcvb2LatCZ8+mlL3UbzeHDW9Ti/LgnOQgghhMgKg0YFf39/li9f/sI2tWvXJigoiKCgIAnN+ZAuOCvMnz+f8uXLc/LkSQB9aAZdsNZodF8vWrSIU6fO0K12OT5ZsADs7XUPX19IcczrkOAshBBCiKwwaI9znTp1uHnzpiFfQuRyiYlqEhMTGTlyJP7+/lSpUuXZzseP4c03uRodj10FSFIn0zMujvdMClMoVIuqT0/4/PNn7V9nYHMKEpyFEEIIkRVGjwqnT5+mbdu2DBgwgMuXLxu7HJGNYmNj6dmzN4mJTxg9ejSBgYEUShl+o6LA1JQGJa6xZd5PlEpKonu9eozteI31X96EJUue9Tjb24O5ebbUJUtuCyGEECIrjHpzYLVq1dizZw82Njbs37+fwYMHs3PnTmOWJLLR0qVLCQnZh52dDV988UXaBvHxYGPDw0c2vDd8NK4VK7Ju2zaGDy+C1h4w0Ep+Jibw7bewffuzbcePQ716hnk9IXKjAwcOMGPGDLRaLZ06dWLgwIGp9iclJTF27FjOnj2Lg4MD8+bNw9XVldDQUD799FNAt4DR0KFD8fb2NsZbEEKIHGfUPrbChQtjY2MDgIeHB2q1mqioKGOWJLKB5r8ByyNGjCAoaCuFC2cwxCI+nkRTU+7du4O1tS3bt2+nSJEiqNW6GwYNZfx4qFsXSpR49mjTBt57z3CvKURuotFomDZtGsuXLyc4OJitW7dy5cqVVG0CAwOxs7Nj165d9OnTh7lz5wLg5ubGr7/+SlBQEMuXL2fy5MmoU97dK4QQ+ZhRe5zv3btHsWLFUKlUhIaGotVqcXR0NGZJ4jVt376dkSNHsmvXLlxdXalR460009E9dT88nBtXr6IoapYvX0Xp0qUBDB6cvbx0DyEKqtDQUMqUKUOpUqUA8PX1JSQkhIoVK+rb7NmzR3/Dto+PD9OmTUNRFKytrfVtEhMTUalUCCFEQWHQ4Dxq1CiOHz9OdHQ0TZs2ZejQofqeiW7durFjxw5++uknTE1NsbKy4quvvpKLcB62dOlSBg8ejLu7u/77mN48zgAPHjxg/PDh9FSrKV36DSpWfPbD2NDBWYiCLjIyEmdnZ/1zJycnQkND07RxcXEBwMzMDFtbW6KjoylSpAhnzpxh4sSJ3L59m88//xwz+R9WCFFAGPRq99VXX71wf8+ePenZs6chSxA5QKvVMn78eL744gtat27Nzz//jK2tLZB+cH78+DEtW7ak9K1bVK9Th8Kx1qnmcVar0w/bQojcoWbNmgQHB3P16lXGjRtH06ZNsbS0NHZZQghhcDKPgHhtn3/+OV988QUfffQRQUFB+tAMuuBcUhsOFy7AhQsknD7NYC8v4v/6i2m9e1PU1TXVPM5Pj5EOLCEMx8nJiYiICP3zp4sTPd/mzp07AKjVamJiYtIMpatQoQKFChXi0qVLhi9aCCFyAYkn4rV9+OGHODk50adPnzRDbTQJyey+XgHal0dRFO7dusWkuDjecHHB7tAh6NMHs+uk6XGW4CyE4VSvXp2wsDDCw8NxcnIiODiYL7/8MlUbT09PNm3axFtvvcWOHTuoX78+KpWK8PBwXFxcMDMz49atW1y7do2SJUsa6Z0IIUTOkh5nkSXnz5+na9euxMfHY29vT9++fdMdn67EPSHRxAr1P//QtVYtSsfFcWDpUuxu39b1Qo8fn2bJbQnOQhiWmZkZkydPZsCAAbRu3ZpWrVrh5ubGggULCAkJASAgIICHDx/i7e3NypUrGT16NAAnT56kXbt2tGvXjiFDhjBlyhSKFClizLcjhBA5RuKJeGV79+7F398fCwsLwsLCUq8G+BzlSTwJJoV4v1cv1q9fz9y5c9PMF/v8UA0JzkIYnoeHBx4eHqm2DR8+XP+1paUlCxcuTHNc+/btad++vaHLE0KIXEniiXipf/6B4GDd1ydPnuTXX3dSrNinfPFFd6pUcX7hsZqYGOK05vz888/MmTOHjz/+OE0b6XEWQgghRF4gQzXES61dC9u2we7dJwkM3E2pUrVo3HgIK1e+JDRrNHzz1TzitGbMmjWLsWPHptvO1FSCsxBCCCFyPwnO4qU0GvD1hSVL7BgxIoLLl/0ZNswi1fCKtMdo6Nu3LycPH0JtYcv48eMzbGtmJkM1hBBCCJH7SXAWLxQVFcUff5zAxETBzc2NefPmYW5ujokJaLXpH6PVahkwYABr1qyhU+s2KFb2L3wNMzP45hsYNUr3CA+XeZyFEEIIkftIv57I0JUrV/D19eXKlaE0aFASeEO/7/kb+gDYvh3tmjUcOXoUz+vXGVmjBqUijnPZtNALX2f8ePjzz2fPJ0+GN9/MvvchhBBCCJEdJDiLdB0+fJj27dujKArt2/vj6vpGqv2mpml7nDUbN7L/0CFW3rhBp4AAarRty9mz8P0ed+q+4LWaNtU9hBBCCCFyMxmqIdLYsGEDXl5eODo6cvToUZyc3kgzdMLEJHWP85MnT9i3dSurbtygzoIFtA0MhF69uOXZi+sOb+XsGxBCCCGEMADpcRZp2Nvb06hRI9avX0/RokXRaNKOOU45VOPq1RgaNDjGsnslKVF+MgcPfsDBg7p9ERGQYgVuIYQQQog8S4KzACA5OZl9+/bh7e2Nt7c3zZs3168EmFFw1mp1Nw/6+Y3h3r1xVC2l4Ni9IndrpG77gvVRhBBCCCHyDAnOgkePHhEQEEBISAhnz56lSpUqqZbP1gfn27chKQkAyztQNCaJznVbk/xvCbwqPKFSYTWVfAtDfSO9ESGEEEIIA5LgXMD9+++/tG7dmkuXLrFixYp0l8/WaMAuKgzKuEHJkgCUfqJmxT1QqW7j6PCEJzfbQylzKFUqZ9+AEEIIIUQOkZsDC7ATJ05Qr149bt26xY4dO+jTp0+67bRasImJgLffhrAw9q1aRYknTlQ03c/jM2c4vv42PRqFweXL+mAthBBCCJHfSHAuwI4ePYq1tTVHjhzB09Mzw3YaDVjHR0GRIgQGBuLj44OzcwlcXUtTvXp1NBpZ6U8IIYQQ+Z8E5wJGURT+/fdfAIYOHcqZM2eoWrXqswYRERAWlupR5HEYdpGXuHj3Ll26dKFOnTqsX/8TJibmgG6JbFnpTwghhBD5nfQTFiBqtZoRI0awevVqTp8+Tfny5bGzs3vW4MEDKF0a3ki92Mlnd0GrxPJFwgM6+Puzdu1aIiOt9dPRSY+zEEIIIQoCiTsFRGxsLF27diU4OJjRo0dTtmzZtI2uX4dq1eCvv/SboqOjqVbpHPfvf8m4cZUInDkTExOTVPM4S4+zEEIIIQoCCc4FwO3bt2nTpg2hoaF88803fPDzz1C9etqGsbFQp47+6aVLl/Dz8+PBgy8ZNmwIs2c/GwedcslttVp6nIUQQgiR/0ncKQDmzZvH5cuX+e2332jVvDkMGQJnzqTf+L9ZMUJCQujUqROmpqbUq9cQb+8iqZqlXHI7vQVShBBCCCHyG7k5MB9LTEwEYMaMGZw4cYJWrVpBfDxYW+uGZKTzUOzt+eKLL2jRogVvvPEGx48fx96+SIYrB4L0OAshhBCiYJDgnE99++231KxZk/v372NhYcGbb76p2/E0OKcjJiaGTp06MXbsWPz9/Tl69CjlypXLcMlt6XEWQgghREEiwTmf0Wq1jBkzhg8//JAKFSpgaWmZukEGwfn8+fPUrVuXzZs3M3fuXNavX4+trS2gC8Ymz/1LSTlUQ3qchRBCCFEQSNzJA5YuhU2b0t9XpAisWwcqFcTHx9OrVy9+/fVXBg8ezPz58zF7PtGmE5wDAwPp168fhQoVYvfu3bz77rup9mfU4/x0qIb0OAshhBCiIJDgnAf8+is0awZvvZV2X/v2uixcqBB8/PHHbNy4ka+++ooRI0agUqnSHpAiOD958oSRI0eybNky6tevT2BgIK6urmkO0WpfPFRDepyFyHsOHDjAjBkz0Gq1dOrUiYEDB6ban5SUxNixYzl79iwODg7MmzcPV1dXDh8+zJdffklycjLm5uaMGTOGBg0aGOldCCFEzjJo3JkwYQL79u2jaNGibN26Nc1+RVGYMWMG+/fvx8rKitmzZ1OtWjVDlpQn3b4Nvr5Qo0bafQ4O8PChLjhPmTIFX19ffH19Mz7Zf8H577//pmvXrpw7d45x48Yxffp0zM3N0z0kvR5lExPpcRYir9JoNEybNo2VK1fi5OREQEAAnp6eVKxYUd8mMDAQOzs7du3aRXBwMHPnzmX+/Pk4OjryzTff4OTkxKVLl+jfvz8HDx404rsRQoicY9Axzv7+/ixfvjzD/QcOHCAsLIydO3cyffp0pkyZYshycp09e3RDLRwdX/y4dAnS6QgGwNz8Cf36jSQ5OZkSJUo8C82VKunGbzz/aNyYq/Hx1KlTh6ioKHbu3Mns2bMzDM2Q8VAN6XEWIm8KDQ2lTJkylCpVCgsLC3x9fQkJCUnVZs+ePXTo0AEAHx8fjh49iqIoVK1aFScnJwDc3NxITEwkKSkpx9+DEEIYg0HjTp06dbh582aG+0NCQmjfvj0qlYpatWrx+PFj7t69S4kSJQxZVq5x5w54esJ33724nbk5FC6cdvsPP/zAzZtVMTV9SHh4lP6HGYpCoevXUSUkQIqbAyMiIhg0aBBbtmyhVatWfP31D2zYUJyTJ1/8+rduvTw4S4+zEHlHZGQkzs7O+udOTk6EhoamaePi4gKAmZkZtra2REdHU6TIszndd+zYQdWqVbGwsMiZwoUQwsiM2k/4/MXb2dmZyMjIAhOctVrdcGNHx1c7TlEUPvvsM6ZPn46z807u3VtB9erPxjMX0sRyQ2uB9X+hWVEUfvnlFwYPHkxcXBxfffUVw4cPZ/9+E77+Grp2ffHr9ekDlSun3qZSgaLoHhqN9DgLUdBcvnyZuXPnsmLFCmOXIoQQOUbijhGlN81bZnz88cfMmzeP/v37880372JunvomwIjj0UQ3cMQauHfvHh999BEbNmygbt26/PDDD/o5nR88gLffhtmzX70GlUpX+5QpcPAgyL1BQuQdTk5ORERE6J9HRkY++4tVijZ37tzB2dkZtVpNTEwMjv/9lh8REcGQIUOYM2cOpUuXztHahRDCmIw6j/PzF++IiIg0F+/8TKvNWnB+7733+Pzzz/nuu+90Y5MPH4aqVaFKFahSBacu73JXW5wNG36lWrVqbNmyhVmzZnH48OFnC6EAUVFQtGjW61+wQPffJk2gU6esn0cIkbOqV69OWFgY4eHhJCUlERwcjKenZ6o2np6ebPpvHswdO3ZQv359VCoVjx8/ZuDAgXz88ce88847xihfCCGMxqg9zp6enqxduxZfX1/OnDmDra1tgRmmAelP85aRK1eusHHjRsaOHUutWrWoVavWs53Hj0OdOjB+PAC3b9+mtU957nT6E0fH1Xh51efMGQd69Up9zgsXoEWLrNc/ZEjWjxVCGI+ZmRmTJ09mwIABaDQaOnbsiJubGwsWLMDd3R0vLy8CAgIYM2YM3t7e2NvbM2/ePADWrl3LjRs3+Prrr/n6668BWLFiBUVf57dwIYTIIwwanEeNGsXx48eJjo6madOmDB06FLVaDUC3bt3w8PBg//79eHt7Y21tzcyZMw1ZTq6T2aEahw8fpl27dgD06tULl9hY+P33Zw2Cg6FVK5IrVmTBggV89tlnaM096NF1MC1bemOaQTpv21bXWyyEKHg8PDzw8PBItW348OH6ry0tLVm4cGGa4z766CM++ugjg9cnhBC5kUGD81dfffXC/SqVis8++8yQJeRqmRmq8csvv9C7d29Kly7Ntm3bdHe5T5oEe/dC7dq6RlWrctrVlT516nDmzBnatm3LokWLZOyhEEIIIUQ2MuoY54LuZUM15s6dS9euXalbty5Hjx59tjhBbCx06QILFxI+Zgw9o6J4q2tX7t+/z6ZNmwgKCpLQLIQQQgiRzSQ4G9HLhmqUK1eOnj17smvXrtTjB2NiSDQ3Z8qUKVSuXJkNGzYwadIkLly4QPv27Q1etxBCCCFEQSTT0RlRekM1Hj16xJEjR2jVqhUdO3akY8eOzx2jJfzsWWZv3sy30dF06dKFOXPmUKZMmRysXAghhBCi4JEeZyN6fqhGWFgYDRs2JCAggHv37qVqqygKQUFB1KpVi7PHj2NRtCgHDx7k559/ltAshBBCCJEDpMfZiFIO1Thx4gR+fn4kJiaydetWiv/7L4wYgYJufuszZ84Q++AB/7O1xdPOjpbffYdJ48ZGrV8IIYQQoiCR4GxET4dqbNq0iR49euDk5MTevXupUqUKyuzZPLh+naUPH3Lu/HmKFimC/4ABNGnSBFMLC6hf39jlCyGEEEIUKBKcjejpUI3Tp09TvXp1tmzZQvHixdmyZQsPFy3iwu3brHByYuKCBQwaNAhLS0tjlyyEEEIIUWDJGGcjUavV3L17HxMTmDJlCiEhIYSEhFCzZk3atWuHSUwMPl26cP36dYYNGyahWQghhBDCyKTH2QhiY2Pp2rUrf+6pzbSm5djcaxfbt2/n/oMHeLm6snjYMJqcPIlJu3ZgbW3scoUQQgghBBKcc9ytW7do06YNoaGhDHdwosWOBZzkIT2KF6digwa4ODujunkTXFyerQwohBBCCCGMToJzDjp27BitWrXi0aNHaLVazB7e4XCJptQMmYG7u7uxyxNCCCGEEC8gwdnAFEXh1KlTfP/99yxfvpzk5GRKlizJ8OHDeTvwLib2jhKahRBCCCHyAAnOBpCcDLt332fXrt2EbvyJMf/uo6NKzQclilCiRAmcSpRAtXMnDy9c4EjzycYuVwghhBBCZIIE52z04MEDNm7cyKJF4fz993CgPB1NmmLLDZa5zGTVqtQfd+B3EOPegNbGKVcIIYQQQrwCCc6v6f79+2zdupXAwEB27tyJWq2mRIlJ1Kx5jeLFJ1F492605WqwT9sSvFWpjr24A5wLGalwIYQQQgjxSiQ4Z8GlS5cICgpiy5YtHDlyBK1WS+nSpRk1ahRdu3Zl06YKfPfdFkJDQ9jToQO17N8gcbsqzXmerhwohBBCCCFyPwnOmfDkyRMOHjzIrl272Lp1KxcvXgSgVq1afPrpp7Rt25a33noLlUoXjjt3DuT+/Sts3LiRd//+mycPE0lMTHtejUaCsxBCCCFEXiHBOR1arZa//vqLXbt2sWvXLg4dOkRSUhIWFhZ4eHgwdOhQ/Pz8KF26ND16wHvvPT1SAVQ8vufLHduxFPtwKcTEYDp5BgkJ6b2ObsltIYQQQgiR++Xr4Lx1Kzx+nP6+UqWgSRPd10lJSZw6dYpDhw7pHw8ePACgevXqDBkyhBYtWtCkSRMKFUo9KHn7dggKgn37NnP48GHmzJmDZeR9ivZJgj9PAWBa1InECWlrkKEaQgghhBB5R74OzsHB8OhR2u1RUYmcOaNhwIBZHDp0iGPHjhEfHw9AxYoV8fPzw8vLi+bNm+Ps7Jzh+dVqePRI4fffP2PmzOk0b96cChXisUm6C87OutX/0H3IKpWuvVmKT1yGagghhBBC5B35Ojh/YzKYRPU9oqKiiHrwgAf//Tc2TqEnLVDNCKKhoyPFy5ShRPHiFC9eHGtra91EzNu36x7/SUiAW7dSnz8pScsaRYNm5nqOVqhA3eLFMRk0CCIioESJVG0tLXXnKFz42TYZqiGEEEIIkXfk2+B88+ZNZv/2Gw/Dw/XbShQvTjl3d5yd3mTPHg/mzfPFysoqU+c7HALbw8DN7dm2c5fPcl/7D507daKen5/+5kAAatRIdbylJSQmpg3O0uMshDCGAwcOMGPGDLRaLZ06dWLgwIGp9iclJTF27FjOnj2Lg4MD8+bNw9XVlejoaIYNG8Y///xDhw4dmDxZFnESQhQc+TY4W1tbo/j54V6qFLVr1+btt9+mSJEiAERGwpAa8M2AzJ/vbBQk2sLAhc+2HT58mJs3a9G2S5eXHm9lBePHg43Ns21Hj0LDhpmvQQghsoNGo2HatGmsXLkSJycnAgIC8PT0pGLFivo2gYGB2NnZsWvXLoKDg5k7dy7z58/H0tKS4cOHc/nyZS5fvmzEdyGEEDkv3wbnokWL8vXXX6e7z8xMN974VSQlgYWFLiwfO3aMUaNG0ahRo0wf//XX8O+/qbe9/z60avVqdQghxOsKDQ2lTJkylCpVCgBfX19CQkJSBec9e/YwZMgQAHx8fJg2bRqKolCoUCFq167NjRs3jFK7EEIYU74Nzi+S1eB85co5PD09KVeuHIMGDcImZffxS3To8IpFCiGEgURGRqa68dnJyYnQ0NA0bVye3uBsZoatrS3R0dH6v9wJIURBVCBH2L5qcFYUhZCQgwQFradevXocPnz4lUKzEEIIIYTI+wpkcDY1fbXg/OGHH7Jnz0Fq1qzKrl27KFq0qOGKE0IIA3NyciIiIkL/PDIyEicnpzRt7ty5A4BarSYmJgZHR8ccrVMIIXIbgwfnAwcO4OPjg7e3N8uWLUuzf+PGjdSvX5927drRrl07AgMDDV3SK/c416lTh/r1PejRoxOWlpaGK0wIIXJA9erVCQsLIzw8nKSkJIKDg/H09EzVxtPTk02bNgGwY8cO6tevn3rmICGEKIAMOsY5M3duA7Ru3TpHpzQyNdVNBacouoVJ0hMWFsaFCxdo2bIl/fv358wZ3ZRyQgiR15mZmTF58mQGDBiARqOhY8eOuLm5sWDBAtzd3fHy8iIgIIAxY8bg7e2Nvb098+bN0x/v6elJbGwsycnJ7N69mxUrVqS5rgshRH5k0OCcmTu3jUGl0oVnjebZSn5XrsClS7qvL126xNSpn2BtfZSrVy9hbW2tn1VDCCHyAw8PDzw8PFJtGz58uP5rS0tLFi5c+PxhgG7GDSGEKIgMGpwzc+c2wM6dOzlx4gTlypVjwoQJ+ju5DenpOOenwXnYMLh3D7TaCE6fvg58x7JlUbqVBEGCsxBCCCFEAWf0mwObNWvGnj17+O2332jYsCHjxo3Lkdd9fpxzXJxC3bqB/PXXG9Sp8xleXlZYWJTT75fgLIQQQghRsBk0OGfmzm1HR0cs/kuknTp14uzZs4YsSe/54BwfD3fv/ou/vz979+6lXDlLvvxSt0jJ++/DkSMSnIUQQgghCjKDDtVIeee2k5MTwcHBfPnll6na3L17lxIlSgC6cXMVKlQwZEl6T4NzTEwMd+7cIT6+EpMmjaRGDRUmJiZ8/DHs3/+sfb164O2dI6UJIYQQQohcyKDBOTN3bq9Zs4Y9e/ZgamqKvb09s2bNMmRJKWqDmzfv0Ldvax4+fIiJyTUKFzbF5L8++EqVdA8hhBBCCCEgB5bcftmd2x9//DEff/yxoctIQ1GSadXKj7i4q6xfv55+/VT8dx+gEEIIIYQQaRg8OOdG27Zt4/796jg5mXHo0CFq1KhBfDwSnIUQQgghRIYKXHBWFIUFCxZgbv49dersYdGiQgDExEhwFkIIIYQQGSswwVmr1RIbG4udnR2//PILBw5YEhn5LCm3aCHBWQghhBBCZKxABOcnT57Qq1cvIiIi2LdvHw4ODrRta+yqhBBCCCFEXmL0BVAMLTIykmbNmrFp0yY6d+6Mubm5sUsSQgghhBB5UL7ucT537hy+vr7cvXuXTZs20a5dO2OXJIQQQggh8qh8G5wVReG9994jISGB/fv3U7t2bWOXJIQQQggh8rB8G5xVKhU//vgjlpaWlClTxtjlCCGEEEKIPC7fBmeASrL0nxBCCCGEyCb5/uZAIYQQQgghsoMEZyGEEEIIITJBgrMQQgghhBCZIMFZCCGEEEKITJDgLIQQQgghRCZIcBZCCCGEECITJDgLIYQQQgiRCRKchRCiADpw4AA+Pj54e3uzbNmyNPuTkpIYMWIE3t7edOrUiZs3b+r3LV26FG9vb3x8fDh48GBOli2EEEYlwVkIIQoYjUbDtGnTWL58OcHBwWzdupUrV66kahMYGIidnR27du2iT58+zJ07F4ArV64QHBxMcHAwy5cvZ+rUqWg0GmO8DSGEyHF5YuXApxfliIgII1cihBCv5ul1KzeFy9DQUMqUKUOpUqUA8PX1JSQkhIoVK+rb7NmzhyFDhgDg4+PDtGnTUBSFkJAQfH19sbCwoFSpUpQpU4bQ0FDeeust/bFyzRZC5FUvu2bnieB87949AHr06GHkSoQQImvu3btHmTJljF0GAJGRkTg7O+ufOzk5ERoamqaNi4sLAGZmZtja2hIdHU1kZCQ1a9ZMdWxkZGSqY+WaLYTI6zK6ZueJ4Ozu7s66desoXrw4pqamxi5HCCEyTaPRcO/ePdzd3Y1dSo6Ra7YQIq962TU7TwRnKysrateubewyhBAiS3JLT/NTTk5OqYZRREZG4uTklKbNnTt3cHZ2Rq1WExMTg6OjY6aOlWu2ECIve9E1W24OFEKIAqZ69eqEhYURHh5OUlISwcHBeHp6pmrj6enJpk2bANixYwf169dHpVLh6elJcHAwSUlJhIeHExYWRo0aNYzxNoQQIsfl+eD8+++/4+vry5tvvsnff/+dYbuMpl4KDw+nU6dOeHt7M2LECJKSkrJcy8OHD+nbty8tWrSgb9++PHr0KE2bP/74g3bt2ukf1atXZ/fu3QCMHz8eT09P/b7z588brA6AKlWq6F/rgw8+0G/P6c/k/PnzdOnSBV9fX/z8/Ni2bZt+3+t+Jrlpyq2X1bJy5Upat26Nn58fvXv35tatW/p9GX2vDFXLxo0bqV+/vv41AwMD9fs2bdpEixYtaNGihT5YGaqOmTNn6mvw8fFJ1YuZnZ/JhAkTaNCgAW3atEl3v6Io/O9//8Pb2xs/Pz/Onj2r35edn0dOMTMzY/LkyQwYMIDWrVvTqlUr3NzcWLBgASEhIQAEBATw8OFDvL29WblyJaNHjwbAzc2NVq1a0bp1awYMGMDkyZNlOIaBvM41Q+Q+r3PdFS/2OtfwV6bkcVeuXFGuXr2q9OzZUwkNDU23jVqtVry8vJQbN24oiYmJip+fn3L58mVFURRl2LBhytatWxVFUZRPP/1UWbduXZZrmTNnjrJ06VJFURRl6dKlyueff/7C9tHR0UqdOnWUJ0+eKIqiKOPGjVN+//33LL/+q9ZRq1atdLfn9Gdy7do15fr164qiKEpERITSqFEj5dGjR4qivN5n8qLv+1Nr165VPv30U0VRFGXr1q3K8OHDFUVRlMuXLyt+fn5KYmKicuPGDcXLy0tRq9VZqiOztRw9elT/b2HdunX6WhQl4++VoWr59ddflalTp6Y5Njo6WvH09FSio6OVhw8fKp6ensrDhw8NVkdKq1evVsaPH69/np2fyfHjx5V//vlH8fX1TXf/vn37lP79+ytarVb566+/lICAAEVRsvfzECKl171miNzlda674uWyeg3Pijzf41yhQgXKly//wjYpp16ysLDQT72kKAp//PEHPj4+AHTo0EHf25IVISEhtG/fHoD27dvre5IzsmPHDpo0aYK1tXWWXzM76kjJGJ9JuXLlKFu2LKAbV1mkSBGioqKy/JpPZfR9T2nPnj106NAB0E25dfTo0RdOuWXIWurXr6//t1CrVi2DTeWVmVoycujQIRo1aoSDgwP29vY0atQoy73xr1pHcHBwhr0Jr6tOnTrY29tnuP/pv2OVSkWtWrV4/Pgxd+/ezdbPQ4iUctM1Q7y+17nuipfL6jU8K/J8cM6M9KZeioyMJDo6Gjs7O8zMdPdIOjs7p5lW6VU8ePCAEiVKAFC8eHEePHjwwvbpBYF58+bh5+fHzJkzszxEIrN1JCYm4u/vT+fOnfWB1tifSWhoKMnJyZQuXVq/LaufSUbf9+fbZDTl1suOfRWver4NGzbQtGlT/fP0vleGrmXnzp34+fkxbNgw7ty5k6X3kR11ANy6dYubN29Sv359/bbs/Exetdan/19k978TIZ563WuGyF1e57orXl9G1/CsyBOzavTp04f79++n2T5ixAiaN2+ea2pJSaVSoVKpMjzP3bt3uXTpEo0bN9ZvGzVqFMWLFyc5OZlPP/2UZcuW6RcgMEQde/fuxcnJifDwcHr37k2lSpUoXLhwhjVnJDs/kzFjxjBnzhxMTHS/073KZ5JfBAUF8c8//7B27Vr9tvS+Vyl/uchuzZo1o02bNlhYWPDzzz8zbtw4Vq9ebbDXe5ng4GB8fHxSjaXN6c9EiNwqvWuGyHty23VXpC9PBOdVq1a91vEZTZ/k6OjI48ePUavVmJmZERERkWZapVeppWjRoty9e5cSJUpw9+5dihQpkmHb33//HW9vb8zNzfXbnvbMWlhY4O/vz4oVKwxax9P3WqpUKerWrcu5c+fw8fExymcSGxvLoEGDGDlyJLVq1dJvf5XPJL33Z8gpt15FZs935MgRvv32W9auXYuFhUWq4yH19yqrITEztTg6Ouq/7tSpE1988YX+2OPHj6c6tm7dugar46lt27YxefLkNMdD9nwmr1rr0/8vsvPzECKl171miNzlda674vVldA3PigIxVCOjqZdUKhX16tVjx44dgO7u+OenZHoVnp6ebN68GYDNmzfj5eWVYdvg4GB8fX1TbXs63kZRFHbv3o2bm5vB6nj06JF+2ENUVBSnTp2iYsWKRvlMkpKSGDx4MO3ataNly5ap9r3OZ5KbptzKTC3nzp1j8uTJfPPNNxQtWlS/PaPvlSFrSTn2a8+ePVSoUAGAxo0bc+jQIR49esSjR484dOhQqr+aZHcdAFevXuXx48eplnTO7s/kZZ7+O1YUhdOnT2Nra0uJEiWy9fMQIqXXuWaI3Od1rrvi9WV0Dc+SLN9WmEvs3LlTadKkiVKtWjWlQYMGSr9+/RRF0c3OMGDAAH27ffv2KS1atFC8vLyUJUuW6LffuHFD6dixo9K8eXNl6NChSmJiYpZriYqKUt577z3F29tb6d27txIdHa0oiqKEhoYqEydO1LcLDw9XGjdurGg0mlTH9+rVS2nTpo3i6+urfPzxx0psbKzB6jh58qTSpk0bxc/PT2nTpo2yfv16/fE5/Zls3rxZqVq1qtK2bVv949y5c4qivP5nkt73ff78+cru3bsVRVGUhIQEZejQoUrz5s2Vjh07Kjdu3NAfu2TJEsXLy0tp0aKFsm/fvix/BpmtpXfv3kqDBg30n8GgQYMURXnx98pQtcydO1dp3bq14ufnp/Ts2VO5cuWK/tjAwEClefPmSvPmzZUNGzYYtA5FUZSFCxcqX3zxRarjsvszGTlypNKoUSOlatWqSpMmTZT169crP/74o/Ljjz8qiqIoWq1WmTJliuLl5aW0adMm1Qw+2fl5CJFSVq8ZInd6neuueLHXuYa/KpWiKEr25nohhBBCCCHynwIxVEMIIYQQQojXJcFZCCGEEEKITJDgLIQQQgghRCZIcBZCCCGEECITJDgLIYQQQgiRCRKchRBCCCGEyAQJzkIIIYTIdSZMmECDBg1o06ZNqu2nT5/mk08+4dixYwwaNEi/fd68efTv31+/OJIQhiDBWRRYoaGh+Pn5kZiYyJMnT/D19eXSpUvGLksIIQTg7+/P8uXL02w/cOAATZo0SbVtyZIlnDp1iq+//lqWHhcGZWbsAoQwlho1auDp6cn8+fNJSEigbdu2VKpUydhlCSGEAOrUqcPNmzfTbD969Ch9+/bl3LlzAKxYsYIDBw7w/fffY2VlldNligJGgrMo0AYPHkxAQACWlpZ88sknxi5HCCHEC0RFRWFmZoatrS0Ap06d4vr162zcuBEbGxsjVycKAhmqIQq0hw8f8uTJE+Li4khMTDR2OUIIIV7g8OHDNG7cWP+8dOnSKIrC4cOHjViVKEgkOIsCbfLkyQwfPhw/Pz/mzp1r7HKEEEK8wPPjm4sVK8ayZcuYOXMmf/zxhxErEwWFBGdRYG3evBlzc3P8/PwYOHAgf//9N0ePHjV2WUIIIdKhKAoXL16kSpUqqbaXK1eORYsWMWbMGM6fP2+k6kRBoVIURTF2EUIIIYQQKY0aNYrjx48THR1N0aJF6dmzJ9euXWP27NkAHDt2jBUrVrB06VIADh06xCeffMLq1aspXbq0MUsX+ZgEZyGEEELkekuWLKFMmTL4+voauxRRgElwFkIIIYQQIhNkjLMQQgghhBCZIMFZCCGEEEKITJDgLIQQQgghRCZIcBZCCCGEECITJDgLIYQQQgiRCRKchRBCCCGEyIT/A0YXizfxmF2gAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "print('Change in AIC: ', est2.aic-est1.aic)" + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "compare_linear_knn(data_train_semi_linear, data_test_semi_linear, data_dense_semi_linear, ax1)\n", + "linear_knn_mse(data_train_semi_linear, data_test_semi_linear, ax2)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 76, "metadata": {}, + "outputs": [], "source": [ - "# Auto dataset" + "N = 100\n", + "x = np.linspace(-1, 1, N)\n", + "a, b, c = 0.5, 3, 7\n", + "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.3).rvs(N)\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", + "\n", + "data_train_not_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", + "data_test_not_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", + "\n", + "x_dense = np.linspace(-1, 1, 1000)\n", + "y_not_linear = a + b/(1+np.exp(-c*x_dense))\n", + "data_dense_not_linear = pd.DataFrame({\"x\": x_dense, \"y\": y_not_linear})" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 87, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -761,144 +1954,102 @@ } ], "source": [ - "plt.scatter(auto.horsepower, auto.mpg, facecolors='None', edgecolors='k', alpha=.5) \n", - "sns.regplot(auto.horsepower, auto.mpg, ci=100, label='Linear', scatter=False, color='orange')\n", - "sns.regplot(auto.horsepower, auto.mpg, ci=100, label='Degree 2', order=2, scatter=False, color='lightblue')\n", - "sns.regplot(auto.horsepower, auto.mpg, ci=100, label='Degree 5', order=5, scatter=False, color='g')\n", - "plt.legend()\n", - "plt.ylim(5,55)\n", - "plt.xlim(40,240);" + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "compare_linear_knn(data_train_not_linear, data_test_not_linear, data_dense_not_linear, ax1)\n", + "linear_knn_mse(data_train_not_linear, data_test_not_linear, ax2)" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 102, "metadata": {}, "outputs": [ + { + "ename": "ValueError", + "evalue": "Data must be 1-dimensional", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/tmp/ipykernel_21428/104321980.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_test\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0mdata_train_not_linear\u001b[0m \u001b[0;34m=\u001b[0m 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"\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[1;32m 612\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 613\u001b[0m \u001b[0;31m# GH#38939 de facto copy defaults to False only in non-dict cases\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 614\u001b[0;31m \u001b[0mmgr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdict_to_mgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m 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dtype, typ, copy)\u001b[0m\n\u001b[1;32m 462\u001b[0m \u001b[0;31m# TODO: can we get rid of the dt64tz special case above?\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 463\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 464\u001b[0;31m return arrays_to_mgr(\n\u001b[0m\u001b[1;32m 465\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_names\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtyp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtyp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsolidate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 466\u001b[0m )\n", + "\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py\u001b[0m in \u001b[0;36marrays_to_mgr\u001b[0;34m(arrays, arr_names, index, columns, dtype, verify_integrity, typ, consolidate)\u001b[0m\n\u001b[1;32m 122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 123\u001b[0m \u001b[0;31m# don't force copy because getting jammed in an ndarray anyway\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 124\u001b[0;31m \u001b[0marrays\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_homogenize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 125\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py\u001b[0m in \u001b[0;36m_homogenize\u001b[0;34m(data, index, dtype)\u001b[0m\n\u001b[1;32m 587\u001b[0m \u001b[0mval\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfast_multiget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdefault\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnan\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 589\u001b[0;31m val = sanitize_array(\n\u001b[0m\u001b[1;32m 590\u001b[0m \u001b[0mval\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m 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OLS Regression Results
Dep. Variable: mpg R-squared: 0.688
Model: OLS Adj. R-squared: 0.686
Method: Least Squares F-statistic: 428.0
Date: Sat, 26 May 2018 Prob (F-statistic): 5.40e-99
Time: 14:29:45 Log-Likelihood: -1133.2
No. Observations: 392 AIC: 2272.
Df Residuals: 389 BIC: 2284.
Df Model: 2
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 56.9001 1.800 31.604 0.000 53.360 60.440
horsepower -0.4662 0.031 -14.978 0.000 -0.527 -0.405
np.power(horsepower, 2) 0.0012 0.000 10.080 0.000 0.001 0.001
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Omnibus: 16.158 Durbin-Watson: 1.078
Prob(Omnibus): 0.000 Jarque-Bera (JB): 30.662
Skew: 0.218 Prob(JB): 2.20e-07
Kurtosis: 4.299 Cond. No. 1.29e+05


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.29e+05. This might indicate that there are
strong multicollinearity or other numerical problems." - ], + "image/png": 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\n", "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: mpg R-squared: 0.688\n", - "Model: OLS Adj. R-squared: 0.686\n", - "Method: Least Squares F-statistic: 428.0\n", - "Date: Sat, 26 May 2018 Prob (F-statistic): 5.40e-99\n", - "Time: 14:29:45 Log-Likelihood: -1133.2\n", - "No. Observations: 392 AIC: 2272.\n", - "Df Residuals: 389 BIC: 2284.\n", - "Df Model: 2 \n", - "Covariance Type: nonrobust \n", - "===========================================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "-------------------------------------------------------------------------------------------\n", - "Intercept 56.9001 1.800 31.604 0.000 53.360 60.440\n", - "horsepower -0.4662 0.031 -14.978 0.000 -0.527 -0.405\n", - "np.power(horsepower, 2) 0.0012 0.000 10.080 0.000 0.001 0.001\n", - "==============================================================================\n", - "Omnibus: 16.158 Durbin-Watson: 1.078\n", - "Prob(Omnibus): 0.000 Jarque-Bera (JB): 30.662\n", - "Skew: 0.218 Prob(JB): 2.20e-07\n", - "Kurtosis: 4.299 Cond. No. 1.29e+05\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "[2] The condition number is large, 1.29e+05. This might indicate that there are\n", - "strong multicollinearity or other numerical problems.\n", - "\"\"\"" + "
" ] }, - "execution_count": 19, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(1, 6, figsize=(12,5))\n", + "\n", + "N = 100\n", + "x = np.linspace(-1, 1, N)\n", + "a, b, c = 0.5, 3, 7\n", + " \n", + "for p in [1, 2, 3, 4, 10, 20]:\n", + " \n", + " y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.3).rvs(N)\n", + " x_random = stats.norm(0, 0.3).rvs((N, p))\n", + " x = np.concatenate([x.reshape(-1, 1), x_random], axis=1)\n", + " x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", + "\n", + " data_train_not_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", + " data_test_not_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", + " \n", + " linear_knn_mse(data_train_not_linear, data_test_not_linear, ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(100, 2)" + ] + }, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "est = smf.ols('mpg ~ horsepower + np.power(horsepower, 2)', auto).fit()\n", - "est.summary()" + "np.concatenate([x.reshape(-1, 1), x.reshape(-1, 1)], axis=1).shape" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 100, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" + "(100, 4)" ] }, + "execution_count": 100, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "plot_lm(est, auto, 'mpg')" + ".shape" ] }, { @@ -911,7 +2062,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -925,9 +2076,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.9.7" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From 3f229a6146f4b42f2adab6a67e2f8701bd8eb9dc Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 23:18:36 +0200 Subject: [PATCH 11/32] plots for ch 3 --- linear_regression.py | 251 +++++++++++++++++++++++++++---------------- 1 file changed, 156 insertions(+), 95 deletions(-) diff --git a/linear_regression.py b/linear_regression.py index 6a6a69a..477be85 100644 --- a/linear_regression.py +++ b/linear_regression.py @@ -6,127 +6,188 @@ import matplotlib.pyplot as plt import statsmodels.formula.api as smf +import statsmodels.api as sm from statsmodels.graphics.gofplots import ProbPlot -def plot_lm(model_fit, data, key, n=3): +from scipy.interpolate import UnivariateSpline + +def add_margins(ax, x=0.05, y=0.05): + # This will, by default, add 5% to the x and y margins. You + # can customise this using the x and y arguments when you call it. + + xlim = ax.get_xlim() + ylim = ax.get_ylim() + + xmargin = (xlim[1]-xlim[0])*x + ymargin = (ylim[1]-ylim[0])*y + + ax.set_xlim(xlim[0]-xmargin, xlim[1]+xmargin) + ax.set_ylim(ylim[0]-ymargin, ylim[1]+ymargin) - # fitted values (need a constant term for intercept) - model_fitted_y = model_fit.fittedvalues - # model residuals - model_residuals = model_fit.resid - # normalized residuals - model_norm_residuals = model_fit.get_influence().resid_studentized_internal - # absolute squared normalized residuals - model_norm_residuals_abs_sqrt = np.sqrt(np.abs(model_norm_residuals)) - # absolute residuals - model_abs_resid = np.abs(model_residuals) - # leverage, from statsmodels internals - model_leverage = model_fit.get_influence().hat_matrix_diag - # cook's distance, from statsmodels internals - model_cooks = model_fit.get_influence().cooks_distance[0] + +def residuals_vs_fitted(model, ax, show_quantiles=False, studentized=False): + if studentized: + residuals = model.get_influence().resid_studentized_internal + else: + residuals = model.resid + abs_resid = np.abs(residuals) - fig = plt.figure() - fig.set_figheight(8) - fig.set_figwidth(12) + data = pd.DataFrame({"y_fitted": model.fittedvalues, "resid": residuals, "abs_resid": abs_resid}) - # first plot - plot_lm_1 = plt.subplot(2, 2, 1) + sns.residplot( + data=data, + x="y_fitted", y="resid", + lowess=True, + scatter_kws={'alpha': 0.5}, + line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}, + ax=ax + ) + ax.axhline(y=2, linestyle="--", color="grey") + ax.axhline(y=-2, linestyle="--", color="grey") + + ax.set_title('Residuals vs Fitted') + ax.set_xlabel('Fitted values') + ax.set_ylabel('Residuals') + + # annotations + data = data.sort_values("abs_resid", ascending=False) + for i, row in data[:3].iterrows(): + ax.annotate(i, xy=(row.y_fitted, row.resid)); + + if show_quantiles: + data["y_fitted_bins"] = pd.cut(data.y_fitted, bins=10) + def quantiles(df): + d = {} + d['resid_q90'] = df.resid.quantile(0.9) + d['resid_q10'] = df.resid.quantile(0.1) + return pd.Series(d, index=['resid_q10', 'resid_q90']) + data = ( + data.set_index("y_fitted_bins") + .join(data.groupby("y_fitted_bins").apply(quantiles)).sort_values("y_fitted") + ) + + xs = np.linspace(data.y_fitted.min(), data.y_fitted.max(), 1000) + q_90 = UnivariateSpline(x=data.y_fitted, y=data.resid_q90, k=3)(xs) + q_10 = UnivariateSpline(x=data.y_fitted, y=data.resid_q10, k=3)(xs) + sns.lineplot(x=xs, y=q_10, color="blue", label="Quantiles 10-90", ax=ax) + sns.lineplot(x=xs, y=q_90, color="blue", ax=ax) + ax.legend() + + add_margins(ax) + sns.despine() - temp_plot = sns.residplot(x=model_fitted_y, y=key, data=data, - lowess=True, - scatter_kws={'alpha': 0.5}, - line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}) - plot_lm_1.set_title('Residuals vs Fitted') - plot_lm_1.set_xlabel('Fitted values') - plot_lm_1.set_ylabel('Residuals') +def residuals_autocorrelation(model, ax): + sm.graphics.tsa.plot_pacf( + model.resid, lags=20, ax=ax, + title="Partial autocorrelation of residuals", zero=False + ) + sns.despine() - # annotations - abs_resid = model_abs_resid.sort_values(ascending=False) - abs_resid_top_3 = abs_resid[:3] - for i in abs_resid_top_3.index: - plot_lm_1.annotate(i, xy=(model_fitted_y[i], model_residuals[i])); - - # second plot - plot_lm_2 = plt.subplot(2, 2, 2) - QQ = ProbPlot(model_norm_residuals) +def residuals_normality(model, ax): + std_resid = model.get_influence().resid_studentized_internal + QQ = ProbPlot(std_resid) with warnings.catch_warnings(): warnings.simplefilter("ignore") - temp_plot = QQ.qqplot(line='45', alpha=0.5, color='lightblue', lw=1, ax=plot_lm_2) + QQ.qqplot(line='45', alpha=0.5, color='lightblue', lw=1, ax=ax) - plot_lm_2.set_title('Normal Q-Q') - plot_lm_2.set_xlabel('Theoretical Quantiles') - plot_lm_2.set_ylabel('Standardized Residuals'); + ax.set_title('Normal Q-Q') + ax.set_xlabel('Theoretical Quantiles') + ax.set_ylabel('Standardized Residuals'); # annotations - abs_norm_resid = np.flip(np.argsort(np.abs(model_norm_residuals)), 0) - abs_norm_resid_top_3 = abs_norm_resid[:3] + abs_std_resid = np.flip(np.argsort(np.abs(std_resid)), 0) + abs_std_resid_top_3 = abs_std_resid[:3] - for r, i in enumerate(abs_norm_resid_top_3): - plot_lm_2.annotate(i, xy=(np.flip(QQ.theoretical_quantiles, 0)[r],model_norm_residuals[i])); + for r, i in enumerate(abs_std_resid_top_3): + ax.annotate(i, xy=(np.flip(QQ.theoretical_quantiles, 0)[r], std_resid[i])); - # third plot - plot_lm_3 = plt.subplot(2, 2, 3) - - plt.scatter(x=model_fitted_y, y=model_norm_residuals_abs_sqrt, alpha=0.5) - sns.regplot(x=model_fitted_y, y=model_norm_residuals_abs_sqrt, - scatter=False, - ci=False, - lowess=True, - line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}) - plot_lm_3.set_title('Scale-Location') - plot_lm_3.set_xlabel('Fitted values') - plot_lm_3.set_ylabel('$\sqrt{|Standardized Residuals|}$'); - - # annotations - abs_sq_norm_resid = np.flip(np.argsort(model_norm_residuals_abs_sqrt), 0) - abs_sq_norm_resid_top_3 = abs_sq_norm_resid[:3] - - for i in abs_norm_resid_top_3: - try: - plot_lm_3.annotate(i, xy=(model_fitted_y[i], model_norm_residuals_abs_sqrt[i])); - except KeyError as err: - continue - - # fourth plot - plot_lm_4 = plt.subplot(2, 2, 4) - - plt.scatter(x=model_leverage, y=model_norm_residuals, alpha=0.5) - sns.regplot(x=model_leverage, y=model_norm_residuals, - scatter=False, - ci=False, - lowess=True, - line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}) - - plot_lm_4.set_xlim(0, 0.20) - plot_lm_4.set_ylim(-3, 5) - plot_lm_4.set_title('Residuals vs Leverage') - plot_lm_4.set_xlabel('Leverage') - plot_lm_4.set_ylabel('Standardized Residuals') +def leverage(model, ax): + + std_residuals = model.get_influence().resid_studentized_internal + leverage = model.get_influence().hat_matrix_diag + # cook's distance, from statsmodels internals + cooks_distance = model.get_influence().cooks_distance[0] + +# plt.scatter(x=leverage, y=std_residuals, alpha=0.5) + sns.regplot( + x=leverage, y=std_residuals, + scatter=True, + ci=False, + lowess=True, + scatter_kws={'alpha': 0.5}, + line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}, + ax=ax + ) + + ax.set_xlim(leverage.min()*0.9, leverage.max()) + ax.set_ylim(std_residuals.min(), std_residuals.max()) + ax.set_title('Residuals vs Leverage') + ax.set_xlabel('Leverage') + ax.set_ylabel('Standardized Residuals') # annotations - leverage_top_3 = np.flip(np.argsort(model_cooks), 0)[:3] + leverage_top_3 = np.flip(np.argsort(cooks_distance), 0)[:3] for i in leverage_top_3: - plot_lm_4.annotate(i, xy=(model_leverage[i], model_norm_residuals[i])) + ax.annotate(i, xy=(leverage[i], std_residuals[i])) - # shenanigans for cook's distance contours + df_model = model.df_model + n = len(leverage) + cooks_threshold = 4/(n - df_model - 1) + leverage_threshold = 4 * (df_model)/n + + ax.axvline( + x=leverage_threshold, + label=f"Leverage threshold ({leverage_threshold:.3f})", + color="grey", linestyle="--" + ) + # cook's distance contours def graph(formula, x_range, label=None): x = x_range y = formula(x) - plt.plot(x, y, label=label, lw=1, ls='--', color='red') + ax.plot(x, y, label=label, lw=1, ls='--', color='red') + + graph(lambda leverage: np.sqrt((cooks_threshold * df_model * (1 - leverage)) / leverage), + np.linspace(leverage.min()*0.9, leverage.max(), 1000), + f'Cook\'s distance threshold ({cooks_threshold:.2f})') + graph(lambda leverage: -np.sqrt((cooks_threshold * df_model * (1 - leverage)) / leverage), + np.linspace(leverage.min()*0.9, leverage.max(), 1000)) + + ax.legend(loc='upper right'); + add_margins(ax) - p = len(model_fit.params) # number of model parameters - graph(lambda x: np.sqrt((0.5 * p * (1 - x)) / x), - np.linspace(0.001, 0.200, 50), - 'Cook\'s distance') # 0.5 line - graph(lambda x: np.sqrt((1 * p * (1 - x)) / x), - np.linspace(0.001, 0.200, 50)) # 1 line - plt.legend(loc='upper right'); - plt.xlim(xmax=np.max(model_cooks)) +def rss_contour(model, x_lim, y_lim, ax, levels=None): + + def rss(model, beta_x1, beta_x2): + x1 = model.model.exog[:, 1] + x2 = model.model.exog[:, 2] + y = model.model.endog + return ((y[:, np.newaxis, np.newaxis] - model.params[0] + - x1[:, np.newaxis, np.newaxis]*beta_x1 - x2[:, np.newaxis, np.newaxis]*beta_x2 + )**2).sum(axis=0)/1e6 + + N = 100 + x = np.linspace(*x_lim, N) + y = np.linspace(*y_lim, N) + + X, Y = np.meshgrid(x, y) + Z = rss(model, X, Y) + + beta_x1 = model.params[1] + beta_x2 = model.params[2] - plt.tight_layout() \ No newline at end of file + ax.scatter(x=beta_x1, y=beta_x2, color="black") + ax.hlines(y=beta_x2, xmin=x_lim[0], xmax=beta_x1, colors="black", linestyles="dashed") + ax.vlines(x=beta_x1, ymin=y_lim[0], ymax=beta_x2, colors="black", linestyles="dashed") + + cplot = ax.contour(X, Y, Z, levels=levels, colors='blue'); + ax.clabel(cplot, inline=True, fontsize=10) + + ax.set_xlabel(rf"$\beta_{{{model.model.exog_names[1]}}}$") + ax.set_ylabel(rf"$\beta_{{{model.model.exog_names[2]}}}$") + From 5df615014a302c656d1ba4373a93aeac116d450e Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 23:18:45 +0200 Subject: [PATCH 12/32] linear methods --- 03_Linear_regression.ipynb | 213 ++++++++++++++++++++----------------- 1 file changed, 113 insertions(+), 100 deletions(-) diff --git a/03_Linear_regression.ipynb b/03_Linear_regression.ipynb index 48e9e51..32f456b 100644 --- a/03_Linear_regression.ipynb +++ b/03_Linear_regression.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "import plot_utils\n", + "import linear_regression\n", "\n", "import pandas as pd\n", "import numpy as np\n", @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 112, "metadata": {}, "outputs": [], "source": [ @@ -364,44 +364,44 @@ "data": { "text/html": [ "\n", - "\n", + "
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\n", + "image/png": 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\n", 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" ] @@ -1261,8 +1253,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", - "plot_utils.residuals_vs_fitted(model_linear, ax=ax1)\n", - "plot_utils.residuals_vs_fitted(model_quad, ax=ax2)" + "linear_regression.residuals_vs_fitted(model_linear, ax=ax1)\n", + "linear_regression.residuals_vs_fitted(model_quad, ax=ax2)" ] }, { @@ -1274,12 +1266,12 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 121, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1290,8 +1282,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", - "plot_utils.residuals_autocorrelation(model_linear, ax=ax1);\n", - "plot_utils.residuals_autocorrelation(model_quad, ax=ax2);" + "linear_regression.residuals_autocorrelation(model_linear, ax=ax1);\n", + "linear_regression.residuals_autocorrelation(model_quad, ax=ax2);" ] }, { @@ -1303,12 +1295,12 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 124, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1319,18 +1311,18 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", - "plot_utils.residuals_vs_fitted(model_linear, ax=ax1, show_quantiles=True)\n", - "plot_utils.residuals_vs_fitted(model_quad, ax=ax2, show_quantiles=True)" + "linear_regression.residuals_vs_fitted(model_linear, ax=ax1, show_quantiles=True)\n", + "linear_regression.residuals_vs_fitted(model_quad, ax=ax2, show_quantiles=True)" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 133, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1341,8 +1333,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", - "plot_utils.residuals_normality(model_linear, ax1)\n", - "plot_utils.residuals_normality(model_quad, ax2)" + "linear_regression.residuals_normality(model_linear, ax1)\n", + "linear_regression.residuals_normality(model_quad, ax2)" ] }, { @@ -1354,12 +1346,12 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 151, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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sWbMYO3YsV199NQDnnXceN954Iw8//DCtra3ccccdgOq5ePXVV4fktwgEqSKR++Sss85i2bJltLe3oygK06dPj9wXzz33HJs3b0an02G327n33nuH6qcIBAJBQog2CQKBQDBMWf7uHlxuPzaLIfJc+PGy80U/u9GEkI89I+4TgWBgiB6rww8RoikQCATDlFPnFOHyBHC5/ciKgsvtx+UJcOqcoqEemkCQNoj7RCAYGAaDgaeffpo33niD1157jY0bN7J9+3YuvfRS3nnnHd588018Pl+kj2pJSQnPPfccb775Jj/+8Y+5/fbbh/gXjD6EgicQCATDlNKxmVx+1hRsFgONrR5sFgOXnzWF0rGZQz00gSBtEPeJQDAweuuxKkkSkiR167GamaneX6LH6tAgcvAEAoFgGFM6NlNsVAWCOIj7RCAYGKLH6vBCKHgCgUAwTOlrXoTD4eC2226joqICo9HI73//e6ZNmzbUP0MgEAgEaUZ5tYPNO2qob3GTn23h1DlFvP766zidTm644Qb27dsXkR/xeqwuX758KH7CqEaEaAoEAsEwpa95EY888ggzZ87kzTff5N577+Xuu+8e4l8gEAgEgnRD9Fgd/ggFTyAQCIYpfc2LOHjwIKeccgoAkydPpqqqisbGxiEbv0AgEAjSD9FjdfgjQjQFAoFgGNOXvIgZM2awevVq5s+fz5dffkl1dTW1tbXk5eUN1fAFAoFAkGaIHqvDH6HgCQQCwTBGq9UmnBdRVlbG3XffzWWXXca0adOYOXMmWq12KIcvEAgEgjQjP9sS1TuyoHgi3/3JH7v1jty1a1fMz999990iBWCIEQqeQCAQDDNiJb+Xjs2M5EVMmzYtkhfx0EMPRT5ns9m45557AFAUhcWLFzNu3Lih+hkCgUAgSENOnVPEynUHALCY9bg9AVyeAOctmDDEIxMkisjBEwgEgmFE5+R3s85PY1MLK9cdYE95Xdy8CKfTid/vB+Dll19m/vz52Gy2ofopAoFAIEhDRO/I4Y/w4AkEAsEwonPye11VNa899yDBUIhXH4NvXXFZr3kRBw8e5JZbbgFg6tSpIoRGIBAIBDERvSOHN2ml4F1//fVUVlai0WiwWCzcfvvtzJw5c6iHJRAIBGlD5+T3guKJXPc/DyIrCo2tHm781olAz3kR8+bN49133x20sQoEAoFAIBh80krBu/fee8nIyABgzZo13HbbbaxcuXKIRyUQCATpQ9fkdwC3J0B+tmUIRyUQCAQCgSBdSCsFL6zcAbhcLiRJGsLRCAQCQfohkt8FAoFAMFB6KtYlGBmklYIH8Ktf/YpNmzahKApPPPHEUA9HIBAI0opw8ntnwXzegglCMAsEAoEgIcLFumxmPXlZZlxuPyvXHRCFVEYQaafghZP+X3vtNf74xz/y+OOPD/GIBILhh8/n4zvf+Q5+v59QKMT555/PTTfdxG233cbOnTtRFIXS0lLuuecerFYrL7zwAsuXL4/kv951111MmTJlqH+GoAdE8vvoROSpCwSCZNC5WBcQ+XfzjhohW0YIkqIoylAPoieOP/541q9fT3Z2NgCVlZUsXryY999/n5KSkiEenUCQviiKgtvtxmq1EggEWLZsGb/61a+YMmVKpCz+PffcQ25uLmVlZbhcrsjz77//PsuXL+fJJ58cyp8gEAi60NbWFpWn/vDDD0fy1IV8FAgEifLgim3kZZnRdEqFChfr+llHsS7B8CZtPHjt7e04nU6KiooAWLt2LZmZmWRlZQ3twASCYYgkSVitVgCCwSDBYBBJkiJKnKIoeL3eyPs790LzeDwi/1UgSENEnrpAMHxJp5w3Uaxr5JM2Cp7H4+GnP/0pHo8HjUZDZmYmjzzyiBBgAkE/CYVCLF26lIqKCpYtW8YJJ5wAwK233sr69euZPHlypCcawPPPP88///lPAoEATz/99FANWyAQ9ILIUxcIhh/plvMminWNfNI6RLMrIgRFIOg7TqeTG264gdtvv51p06YBqvJ31113MWfOHL75zW9Gvf/NN9/kww8/5N577x2K4QoEggR47bXXePvttyN56kI+CgTpy/J393TzmIUfLzt/xpCMKZ08ioLkkzYePIFAMDB6WqztdjsLFixg48aNEQVPq9Vy0UUX8cQTT3RT8C666CJ++9vfDsEvGB0IoSpIBt/4xjf4zW9+Q0tLSyRPXSAYroz0dbG+xU1eljnqOYtZT32Le4hGJIp1jXQ0Qz0AgUAwcMLhHy63n7wsM/X1Dax45wvKqx14vV4++ugjSktLOXLkCKDm4K1du5ZJkyYBcPjw4cix1q1bx4QJIkwjFXS9TuEwnfJqx1APTZDmtLe3U1NTE3ks8tQFI4XRsC7mZ1twewJRz4mcN0EqER48gWAE0LXksRJo5+1nHmDVswqZVgMXXHABZ511FsuWLaO9vR1FUZg+fTp33HEHAM899xybN29Gp9Nht9tFeGaKEKWpBf1F5KkLRiqjYV0UOW+CwUYoeALBCKBr+EdB8UT+65YHu5U8XrFiRczP//rXv075GAXpGaYjGB7k5eXx0ksvDfUwBIKkMxrWxdKxmVx+1pSoMNTzFkwYMQqsIP0QCp5AMAIQJY+HB+I6CQQCQTSjZV0UOW+CwUTk4AkEI4BT5xTh8gRwuf3IioLL7cflCXDqnKKhHpqgE+I6CQQCQTSDsS6WVztY/u4eHlyxjeXv7hlR+X0CQSyEgicQjADC4R82i4HGVg82i2HI+usIekZcJ4FAIIgm1eviaCjiIhB0RYRoCgQjBBH+MTwQ10kgEAiiSeW6OBqKuAgEXRlVCt5I77MiEAgEAoFAIDjGaCjiIhB0ZdQoeGEXvc2sj3LRi/AogUAg6B1hHBMIBMOV0VLERSDozKjJwevsotdIEjaLAZtZz+YdNfE/LBAIBKMUkb8iEAiGM6K4lWA0MmoUvPoWNxazPuo54aIXCASC3hHGMYFAMJwRxa0Eo5FRE6IpXPQCgUDQd+Llr4jwTYFAkO6I4laC0cao8eAJF71AIBD0nfxsC25PIOq5sHFMhG8KBAKBQJB+jBoFT7joBQKBoO/0ZhwT4ZsCgWAoEQ3MBYLYjJoQTRAueoFAcIz+hBaOxnDEsHGs8+8+b8EESsdm8vqGg6L8uEAgGBJEdXSBoGdGlYInEAgE0L+NwWjeTPRkHBO5zQLByCddDVuigblA0DOjJkRTIBAIwvQntFCEI3ZH5DYLBCObdM6zFdXRBYKeER48gUAw6ohXGTJZnxkMhtK6Xjo2k5NnFfD2psM0OT3k2s1cdPpEYT0XCEYI6ewlExEEAkHPCA+eQCAYdfRWGTKZn0k1Q21dL692sGVXHaVj7Zw5r4TSsXa27KpLC+u+QCAYOOnsJRMRBAJBzwgFTyAQjDr6szFIx83EUIeNDvX3CwSC1JKOhq0wojq6QNAzQsETCASjjv5sDNJxMzHU1vX6Fjf+YIgdBxr5eGcNOw404g+G0sK6LxAIBk46GrYEAkF8RA6eQCAYlfSnbcpgt1qJl1831Dkoep2GHQcasZr0WEw6/IEQOw82MWdK3qB8v0AgSC29tUkZagZS2ThdK4MKBMlCKHgCgUCQhiSyeTl1ThEr1x0AVM+d2xPA5Qlw3oIJgzNIBSTp2P+h47EyOF8vEAhST7r2EO5vAZjR3PJGMHoQCp5AIBCkIYlsXobauh4IycyalEt1fTvt3gBWk56JxXYCIXlQvl8gGO4IT1L/6W9l43SuDCoQJAuh4AkEAkEakujmZSit6+EQ0c4hmS63H5vd0MunBAIBCE/SQOlviHq6trwZKMJYIOiMKLIiEAgEaUg6V68LIwowCAT9R1ShHRj9XX+Gw9raV1LRMqe82sHyd/fw4IptLH93j2h/M8xIGwWvpaWFa6+9lvPPP59LLrmEG2+8kebm5qEelkAgGIWkg2AbDspTOlYWHakIGTnyGOoquMOd/q4/w2Ft7SvJNhYMdY9VwcBJmxBNSZL40Y9+xIIFCwC49957+dOf/sTvf//7IR6ZQCAYTaRL2NRQ59clSroWYBhpCBk58hjqKrgjgf5WQx4Oa2tfSHbYqchTHP6kjYKXlZUVEVwAc+fO5YUXXhiSsXy4vZK3Nx2myekh127motMnsnBuyZCMRSAQDC7pJNiE8iQIk04yUpAchrwKbgpJZj5Yb8fq7/eMtLU12caCkZqnOJpIGwWvM7Is88ILL3DOOefEfP2VV14hKysr8vi4447jpJNOIhAI8Pzzz3d7/9y5c5k7dy5ut5uXXnqp2+vz589n9uzZOBwOnnp2BbVNbrQaiUKNhNyssOLNKuB0ZpSYeOutt7p9/swzz2TSpEnU1tbyzjvvdHt98eLFjBs3jqNHj/L+++93e/2CCy6gsLCQQ4cOsWHDhm6vX3zxxeTl5bF37142b97c7fXLL7+czMxMdu7cyaefftrt9auuugqLxcL27dvZvn17t9e/853voNfr2bp1K1999VW313/wgx8A8NFHH7Fv376o1/R6Pd/5zncAWL9+PeXl5VGvWywWrrrqKgDWrFlDZWVl1Ot2u52lS5cC8M4771BbWxv1em5uLpdccgkAb775Jk1NTVGvFxYWcsEFFwDw6quv4nQ6o14vKSnh3HPPBeCll17C7e5SoKK0lEWLFgHw/PPPEwhEx+VPmzaN0047DYCnnnqKriRz7q1cubLb66eeeirTp0+nsbFRzL1BmnuV9S70Og3t5gwKJp0EgKvmC+pdDp6q+TjyeTH3BmfuCbrTm4xMpXxM53kyXNeoy886n807aqjY9xmagAO7zcD61TtYz/CVj15/kMZWD9bscYwZN502l5vnn3uGvCwzJsOxbWcic8+aM45/vbeDQMMXaDQSRyoVDn0hk5dlZtacr/FpuYxJ8uKr+SLqNZNBN6rmnvPILhpbPTRpNGg0EgoaDIUncd6CCf2Sj3I7uI0nYrMYaDi8DV97KyFZQauReOqpL9N27oUZLeteb6SlgnfXXXdhsVj47ne/O+jf3ezwotVIaDVqcyetRsKo1fD2psPMuHrGoI9HIBAMLgadhpAc3cgtGJIx6I6lLHv9QfYeaWbPim3kZ1sIdknYFwhSyVDKSEFyCXuS1mgrqawcGeuI0+VHq9FgNGjRSBJWs4FmjQany48pp2/bzs07arCadLR12pOBeqw9R5qxmcdgkEK4urzW1+8Z7pgMOvKyzDhdfvxBGaNBG0krqNjf9+PlZZlp7JBrChCSFUKyTLbd3PsHBWmDpChKWrWkvffee9m7dy+PPPIIBkN0qe3KykoWL17M+++/T0lJakImy+55j+wMIxrp2GZOVmRa2nw8dut5KflOgUCQPnTOwescNhUWlvFeH8pxixLZI5+eZORgyEeBIBEeXLGNvCwzGkmKPCcrCo2tHn72rROTdiwgad+TKKNpnR1Nv3UkklYmjvvvv5+dO3fy2GOPdVPuBotcu5l2jx+r+dj3e7xBcoXVQiAYFcRLwE+nHL0w6VIYRpBa0kFGCgTxSGY+WLxjDWaRmtG2zo60PMVYjGQlNm3aJOzfv59HH32U+vp6vvWtb3HZZZdxww03DPo4Ljp9Im5fiHaPH1mRaff4cftCXHT6xEEfi0AgSD/SsbS56Kc18kkXGSkQxCOZbQh6O9ZgtzsQ6+zIYqS3gkgbD97UqVPZu3fvUA8jUi2zcxXNq87tXkVzJGv9AsFwIRX3YTwrbTqWNhcVz0Y+6SIjBYJ4JLMNQbxjDWa7A7HOjizSMRonmaSNgpdOLJxb0mtbhNHmphcI0pFU3YfxFv10KG3etZWL3arH7dGlldIpEAhGL8kM7+vtWIMZRpiOxj1B/xnpCnvahGgOJ4SbXiAYelJ1H8YLwQxblG0WA42tHmwWw6Aadz7cXslTb++m3eMnO8NIu8fP3iMtHKxsHbRQJYFAIBhtDHZIqCC15GdbcHepgD2SFHbhwesHI13rFwiGA6m6DxOx0vZmNU51+Pbbmw5jMWojhaDC//qCMjaLIeFQJRFmLhAIBImTzNBTwdCTDtE4qUQoeP1AuOkFgqEnVffhQBb9VIWNdlbGDtc4yc82Rb1uNuloafOx7PzEenWKMHOBID0QhpbhRTJDQsW1H1pGusIuFLx+kOgGUNy8AkHqSJX1bSCLfiqStrsqYwa9hrpmD4V5GswGdQnvayuXkZ5cLhAMB4ShZfQirn16MJIVdpGD1w8SycEZ6eVXBYKhZqhz4WKRihYKXXMNZ0zIRulo5hurlUt5tYPl7+7hwRXbWP7unphrTjq2ehAIRhsin3/0Euvah2SZx1bu6HXtHkoSkS2jlXTc8wsPXj+Jp/ULC7lAkHpSUUFtIJbVvoSNJmrt65xr2OL04mwPYDbpcLkD1Ld4KcyxRFq5JDp2EWYuEAw9Ip8/PRgKz0vXa9/S5uVIjRNZhuMm5w6KR69rNeaLTu/eEiyM8Dj2Tjru+YWClyLEwi0QDB86C/i6Jjc5mcZ+LdR9Cd9eue4AIVmmqdXL3iMtbN5Rw9XnTu0mYMPKWCAos+dICwadhpwME7l2M8X5tigB25uQCf9b3+JGr9XQ5PBSGGecAoEgdQhDy9AzVIpL12tfWedCI0lk2I559GDg4f09Ka7haswWozZSjfmpt3cDxFTy0lGBSSfScc8vQjRjkAw39EgvvyoQjBS6hlY4XD6O1DhpafNG3pPoQp1o2OjmHTWEZJmK2jYCQZlMmwEJhRfX7Ou23oRLcx+qcqDXSQAEQjKTSjKxmfWs+qg8sl59vLMGfzAEqBbhHQca2XGwkQ2fV/LMql2R36jXaVBQCITktAlvFQhGG6Ls/tAzVGGyXa99q8uHrEBJvi3ynoEoCPFCBjtXY9ZIGqxmAxajlrc3HY55PBHW3zvpuOcXCl4XkhVHKxZugWB40FXAZ9qMaCSJyjpX5D19WahLx2ay7PwZ/OxbJ7Ls/Bk9hl02tXox6LQY9FokJCwmPaGQ0m1jEVYaAyGZQFDGoNcyY2IO2Rkm/MEQ2/c1HFPctBp2HmyiotbJnsPN+AMh9DoNHl+Q2qZ2AkE5sokpyrWSnWHqdZwCgSB1DHYescih6s5QKS5dr32WzciEwgyy7ccqJA9EQYinuDY5PZhN0UF8ZpOOJqcn5vHSUYFJJ9Jxzy9CNLuQLDf0SC+/KhCMFLqGVpTk29h9uLnDoqqkJHwxP9vC3iMtZNqOhWYFgjJ2qyHmxqJ0bCanzC7qFs5VXuXEqNNQXu2k3RtAI6nH2V3eTG6mqeO4CiaDFrNRR2W9K7KBENZXgWDoSUUecSxEDlVskh0m25d8vs7XvrNzIRlh8/FCBnPtZto9/kgfVei9GvNI7xk3UNJxzz/6FLz6enjgAbjsMliwACQp+uUkxtEO1sItEAi6k6ig7Srgs+0mJhRm0Oz00djqSclCfeqcIjbvqMHtCWAx6QkEZfxBmcJcS9TGovNv0Os0NLZ6KOKYgG1yetBrNRgDISxGXYeHDjz+IAFZwWbSMak4k8p6Fz5/kHbvMQussL4KBOlJKop+iByq2CRTcRmIEp1sBSGW4lrT4KLZ6ePBFduwW/XUNKpRKmaTDo83iNsX4qpzJw7K+ASpZ/QpeHl5cMopcP/96uNly+DCC8FoBJJrzUm3nhgCQSpJp/neF0EbS8BrtRrKLp+TsvGXjs3k6nOn8uKafTjb/ditBgpzLWi1mkhIR9ff4PYEkJAIBGUOVztp9wTw+UMEtQpWs4JBkjDoVU9dSIY5k3KPrWMS7DjQiNWkT5lXMopAQP2zCAVSIOhKb2tlqjxt6VgEIh1IpuIyUCU6mU6BrnKtpsHF3opWpk/I6pAnOgpyfPiCMi1tPnLt5kg15sEY30gjHT3ko0/B02hU792ll8KWLfD88/C3v8HSpXDllUmz5qTjxRYIUkW6zfe+CNqhskwunFtCcX5Gjxu9WL+hELXAisWkIz/bTHObF6fLR32LmzHZZnQaDbKiUJBjxtWRL2Ex69FrNYzNs5GbaUqZVzJCbS388pewZIlqQBMIBBHirZWp8rSJip09kyzFJZ2U6K5yrdnpY/qELIrHZADqvJpckoXNYmDZ+TMGfXwjjXDhtHC6hNWkJyfTKNokDAmSpIZoLlgA5eWwYgVccQWlixZx5eJL2Og2DGizJ8IhBKOJdJvvfRW0Q2WZ7O17e/oNW76qZXaHdy4nw4ROq8Hl9tPs8FKSn0FhnoXiMRmRMNDwOnbNYITTfPYZ3HYbXHMNfPvbqf0ugWAYEm+tTJWSIHKoUs9QK9GxPMNh5e3BFdvSRvkciRyqclDb5MKo12Ex6fAHQhypceLzy0M2ptGr4HWmtBRuvRWuvx5efZVxv/81yyZMUK3PC+eqXr8+kk6WHIEg1aTbfB8sQZtIWGp/Q1d7+g1ApOqb3abnaH0bsqygkSAn04hWo4l8x6AprYoCL74I//gH3HWXajgTCEYh8e73eGtlqtYukUMVTSpSCoZSiY7nGU7VvEqn1IyhpN0TQNORJgFg0GsJBEO0d6k8OpiINgmdycyE//gPeOMNNYzz8cfhiivgpZfAE7t0bE+IkrKC0US6zffBKFmcSEuVgbRd6ek3TB+fjdsToKXNS3VDO5lWg9rXTpGoqG3j5FkFgytgfT747W/htdfgn/8Uyp1g1JLI/d51rWxp8/L5nnoOVaktDMYX2FK2diXSwmU0kKx2WF0Z7LYXnYnXFqE/MjFeW41UncfhiMWkQ1bAHwihKAr+QAhZUZ8fKoSCFwu9Xi288swzcPvtsHUrXHwx/OUvUFeX0CHSoSeG6HkjGCzSYb53ZjAEbSINcgfSRLen37Dk9FK18XmlA71Wg8mgw241ctrxRcyZnEdFp/59KaeuDn70I/D7VeWuuHjwvlsgSDMSud87r5XNTg87DjTi9gWYOj4Ll9vPll11nDyrYEiUhNFCKpubD5USHa+fX19lYiLK21A1iU9HJpdkMaEwA4Nei9sXxKDXMqEwg8klWUM2JhGi2RuSBPPmqX9VVWqe3re/rVbh/M534LjjevzoUIdDpFvRC8HIZqjne09jSuX3JxKWOtDQ1Z5+w+VnTeGBF7ahQKQVQrbdhKwogxcWu22bmm+3bJmac9el5YxAMFJINAwtkfu981r58c4arCZ95P4NU1HnEoUvUki6pRQkg0RCMLvKk7AToKciX6FQl6Ih9uiiIak6j8Mx7FMNz22ndKw9KjxXNDofDhQXw3//N1x3Hbz+OtxyC4wZo25uzj4btNpuHxnKkrLpVvRCMPIZbSWUExGoqcynidX4fFDCYhUFXn4ZnngC7rgDTj01td8nEAwhfTGWJnq/h9fK8AZZ08k4kkpFYzhunFPBUBdDSQV9zf+LN68PVrZS1+zGqNdiMXYUDaltw+sPRY4Rs9deo4tmh9prrz9zbLg6J9LRyC0UvL5is6neu299C9atU716DzwAV14J3/gGZGUN8QBVRqKFSiBIJxIRqMlsu9J1YzYkCf1+P/zhD/DVV2pBlZKeeyYJBCOBvhhL+3pPDqaiMVw3zpAcxbTzMfRaDU0OL4UMbUXRZCrcfVUw4s1rtzeIRqJb0RC3Nxg5Rrdee40u9h5pZfr4rH7PseHsnEg3I7fIwesvWi0sXqwWYrn/fqiogMsvVyvI7ds31KNLu6IXAsFII5GchmTkAvaUCwEMbkJ/fT1cey20t6v5dkK5E4wC4uU2daav9/tg5i4P13ypZBTy6HoMvU6DgkIgJA9ZnmMqCpT0Jf8v3ry2mvXIHcVCFMJFQxSsnT7Tdb43O3xMH59FcX5Gj3MsXm2Ivtxvgt4RHrxkMH06/OY38JOfwMqV8NOfwrhxqpdv0aKY4ZupRvS8EQhSTyIWu4FY9cqrHTy2cgcOl49Mm5GSfFskV2fzjpo+JfEPyFq8fbsaln711fCDH4h8O8Gooa9etr7c74MZ1jVco3qS4dGJdYyijn+HKtdxqD1V8cIr2z0B8rLM+PxyJAcv3GO1M53ne7xee4l4kUdi+OxQIRS8ZJKdDT/8IXzve7B2LTz3nOrdu+oqNXzTbh+0oQxUcIhYfYEgtcS7x8LCsNXlw27V4w+E2HOkhRkTssnMMPZpY9bv8CxFgX/9Cx59VM23O+20gfxkwQC49957effdd6mqquLNN99k2rRpQz2kUUGqjaX9MQD1Rz4P141zMhTTdFRuB2NMvc2TeOGVgUCIvRWtTJ+QxXGTcxMqGhJvjiWi1ArnRPIQIZqpQKeDr39dzVH54x/h4EG1r97vf6/+f5Dob7le0dtEIEgtfSlBnWUzEgwqGPRaDDoNlfWuPm/M+hWe5ffD736n9gH9xz+EcjfELF68mOeff55i0YoCGLw2QEPZ2ywW/ZXP6dbKJlGSkW6SjikrqR5TvHkSL7yyOD+D6eOzaHb4Ep738eZYIuGX6Xa/DWeEBy/VzJqlWr6bm+HVV+GGG6C0VA3fPOMM0KSfjj3UoQMCQbozUA93IvdYfYsbnVbC4w9S29SOUa8l02bA4wv22aIZy1rsD4b4eGcPv6GhAf7f/1MrBT/1FFjS28o/Gpg/f/5QDyHCUEd4DHbBkHQqntBf+ZyOVf4SIRkenXT0CqViTJ3vy7omNzl2Y6/zJF54ZdEYG3q9lp9968SEvj/eHOtrlVnBwBAK3mCRk6M2BP7+99XwzaeegvvuU8M3L710UMM345GO4QwCQbqQjM1lIveYXqfhs911hGQFjSTh9qqW0XEF9j5vZLsK1pY2LzsPNmE1xfgNjUfgf/5HrQz8gx+kpRFKMHSkWrlKRHkczUbIgcjn4bhxToZi2tdjDIYBI9kKd9f7cu+RFtrcfiwmfSRvu7d5kqwQ3t7mWDoq2iOZtFLwRkWOgV4P55+v/n31Fbz4ohq++fWvqwUMJk0a6hGSn22hqqGNZofvWIPLTGO35NpEGWprr2BwGC3XORmby0SEqdPlo90TQK/XYtRr0GgkAoEQBTnmPp/XroL1UKUDSYJJxZmRkE2Ao39/mtKP34T//V9YuLBP3yEYHaRSuUpUeRzNRsh0zaVL5fqfDMU00WMMpne4L43H47F5Rw0h+Vhjcp8/hF4nUVnviih4vc2TwVC+hqsXebiSVqbZUZdjcNxxcOed8MorkJsLP/4xXH89bNgAsjxkwxpfYGPvkVbaPX7MRi3tHj97j7QyvsDW52OJfL7RwWi6zsko45xIPkxNk5vcLDMGnZZgSMGg05JhM7CrvLnPeUdd8xoCIZlZk3Ijgl8T8HPS6/+g8L034MknhXIn6JFkzP+e8ucSzRVNx5yqwSIdc+nirf+DlS+ZDIaqncRAZeihKgdHapz4AyEsJh1mk5bWNh8Nre6E5slg5b71tzaEoO+klQcvnXIMBpXcXCgrU8Oh3n8fnnhCDd+88sohCd+sqHOpybXODg+e2cC4AiMVda4+H2s0h9KMJkbTdU6GBT0sTFd9VM6Wr2oBmD4+u9v7THotmVYjAB5fkLrmdjSSJmoDcPKsAirqXBGL6PgCW9TjsBW4s7V4+bt7cLn9ABgdLcx98k+4TDY+v/WPTBs/vt/nRjD8ieeJGej8781DkohnrrzaQYvTy/b9DdgtBkqL7Rh02lET6pWOXpDe1n9gWDVYHyrv8EBlaLsnQCAQwu0NEQjK6HUaLCYdsgyNrZ6E5slwDOEV9EzCCt7HH39McXEx48aNo76+nvvuuw+NRsMvfvELxowZk8oxjh4MBrjwQvVvxw54+WU1fPPss9VcvRmD06+lvsVN0RgbxfnHQjJlRenXAjeaQ2lGE8m+zukc7pnMUBafP8TsSbmR43Te+EyfkM22PfUEnV5CsoLPHwKgON8csSw7XD5eXLOfOZNzycsyU9XQxtpPjzJ9fBZFY2xRmykgck71Og2NrR5mHdnPKc//mYMnnc2np13M5SdNTt6JGmWkWkb+7ne/Y/Xq1TQ2NvIf//EfZGVl8fbbbydh5MdIJDxtoPO/t41sPOWx8/iOn5rH4SonX+xvZO60MWmrMIwGelv/E1VcelvzUyEPejrmYIbAdh7DoSoHU8dn0TlOqi8yVFEUHO0BdDoNeq2EPxgiGJSZWGRNuEiKYGSRcIjmHXfcgbajYfe9995LMBhEkiRuv/32lA1uVDNnjhq++a9/qU3Tf/lLtcfev/+tli9PIckMf8nPtlDT4GLHgUY+3lnDjgON1DS4RkUozWgimXMmncM9wwK53ROgvNrJ4Wpnv0NZ4oUCnTAlj2BIJiQrKIpCKCQDCgU5ZlravOw40MgXBxppaHGzq7yZLV/Vsru8Ba0Gmp2+qGOu+qg86pzqtRpmfL6BU/7xf3y05HtUXvZtLj9nmtggD4BUy8hf//rXbNiwgV27drFp06akK3eQWHjaQEO56lvc+IOhKJngD4aob3HHDT/sPL5cu5mvzSzgpJkFZGeYRs3cTcf1sbf1P5GQ3t5+Uyp+b2/HHKwQ2PJqB8+u2s1nu+s4WNmKo83H9r0NtDi9kff0RYZKkkSmzRAV0p9pMyBJUlLHLRg+JOzBq6urY+zYsQSDQT788EPWrl2LXq/njDPOSOX4BDk58B//oTZP//BDtSjLAw+ojdO/+U0oKEj6VybTQzG+wMbaT49iMWoxm3S0e/w0tHrSvveOoG8kc86ka7hnZ+9BaXFmVOPX/ozrYGUr7Z4Abl8Qq0lPSb4tqoF5RZ2L2ZNyI6HSLn0AvRbqmjxUN7Srgjwo4w+om+Mx2WZ8/iA+vxIl1C1mPVu+qmX2pFxsFgNSMMDJbzxF5p4v+eyXd3Pl9xYn7RyNZkaCjEzUEz+QUC69TsOOA41YTXosJh3+QIidB5uYMyUvbvihiAhJz/Wxt/V/846auB6xeCGeyf69vX3fsvNnDEoI7KqPyqludGE16bGa9ciyQkOLh93lTZxy/Ng+y1CrWU+Tw0NIllGAkCyjU7RYOynX6RwZI0g+CSt4NpuNxsZG9u/fz+TJk7Farfj9foLBYCrHNypI6KbTamHRIvXvyBE1fPPb34YTT1TDN086CZJkqUlmjH9FnYvpE7KOVeQ0GxhX2L98PkH6ksw5k66buGRurMqrHdS3eJBQsJj0+AMh9hxpYXzBsdDorqHSLU4vuw83U9/ipjBH3RwFQzJGgxa9TkNbewCjQYfXH8QfOFakKWxZt5j1GJwtzHviTwSsGXzy//5ArS+t6mwNa0aCjMzPtlBV33Ys/9qkJ8dujArXHzBKJ1GlqP9I0rH/96Y8pmsFycEkHdfHeOt/PONfvN/U0NLO/qNOAsEQep2WqePsjMm29nu88b5vMHLR9h5pwWLUYdCrXn+71RgJs0w0Z64z2XYjh6qji/MFZZlsu5rDPdi9IwVDT8IK3ne/+12uuOIKAoEAt912GwDbtm1jUhLL+g9GjsFgkoji1q+bbsIENWTz+uvhnXfg/vshGFSLslx0Edj6Xu2yK8la4Opb3BTl2aJaLPQ3n0+Q3iRrzgzFJi6Re7WnTcHBytY+l7bevKOG3EwjByodNDq8mDqUtIq6Nq5YrLaH6Xoesu0mJhRm4HD5CMgKNpOODIueQEgBRcEfCJJpM+H2BpAk9T4Lb6amj8/GuHc3pz3/IEdPPZeDF1yByxskP9vQ2zAFfWAwZGSqGYyIi3AF1+r69ogSObHYTiAUv3K06KM1SEp4P+hp/U/E+Nfbmr+rvJGdB5vRaSV0WolQKMTOg83MmdJ/g3baGAq6/ASTUYdOl3hj8SgUMOq1WGx69DoNgaCM2xeIGE7S0fM7anE4oL4epkxJmmMmFgkreGVlZZx33nlotVrGd1RZKygo4He/+13SBvPrX/+aX//610k73lCSqOIW66ZzuHw8tnIHBbmW3jeMFgssXQqXXw7bt8NLL8Gjj8J556levclDXzAhbRZSwaDT33CQwd7EJXqvxprLNQ0u6ls8FORY+mQVPVTloLHVQ6bVgMcXxOcP4QuEmJB5rMddrPOg1Wo4ZU4Req0mMg5nuw+XJ4AkSditBvIyjfiDSpQV2LJ6Fd7HH+Szq8twnHTaqNwYp5rBkJGp5ov9jZj0Glra/LS0+cjNNDF9QhZfHGiMWZm1P4TvozlT8iLPudx+bPb4xoZ0rCA52AzHtId4xr/e1vx/by5HowGNRoMkgUYjoVFCHKlt6/d40sFQMH18NjsPNSIhRRQyjy/I7El58T8cg3iGk3T0/I5o/H6orITDh9Wou4oK9d8jR1SHzJQp8Ne/qvv4FNGnNgmlpaW9PhYcI1FrSdebrsXp5UhtGyFZ4bjJuYltGCUJ5s1T/xoaYOVKuPFGtTjLVVfBWWeBbmg6YgzFQirizAefrud8fIGNLbvq+hUOMtibuETv1VhzuaKujfGFGX22irZ7AmgkCavFgL2jDUK7x4/bG4zyBnZtgRC+b8LjKM630nLQi8WkY9akXIwd5eIj5zkYVD38H3/M0Sceo81hpHGUbowHg+EsI8urHWzf30CGRU+xxUAgKOMPygSCIbbva+WkmQV9vpdjrcUDlQmjvZT7SEx76G3N9/lDWE16AkGFkKyg1UhYTfpIVeFkf99gseT0UhodHpwuP+2+IAathsJcK0tO73nN6G1vE89wki7G9hG1P1MU1RMXVtzCitzhw9DYCEVFasTdhAlwwglwySUwcSJkZ6fUcxem113/okWLEqrAs27dumSNZ8SQqLWk601XWe9CI0GGzRipYgZ9cKOPGaP21PvhD2HdOtWrd999qpdv6VLI6591qL8M9kIq4swHn1jn/MU1+xlfYOt3OMhgbuL6Ulii61wuyLFSlGeL+9muWEw62tx+/IFQxHrrDYTw+f1Rld227KqLOXc7j2POlDxQVAuuzW44dn81N8P//A9YrfDMM4yz2Vg2gPMk6M5IkpGbd9Rg77hPJUmK5AbtPdJKXqa5z/dyb2vxUG+uhzMjNe2hpzXfZjbg9QejioV4/UFsZnUeDrbCkKzvKx2byfeWzEr4WPH2NvEMJ7Fer21ykxuUeXDFtpjfn+xzO2z3Z34/HD2qKm7l5eq/Yc+cxaIqcBMnwvjxsGCB+njs2CFzrITp9dv/7//+b7DGMeJI1FrS9aZzuHxoNFBScGzT2C83uk4H556r/h04oBZlufJKOOUU9d958wbFggCDu1kXceaDT6xzHgzJNDm8UXkh6RoO0hfLZte5HG4Y3ler6OSSLEwGbVQejd6vISPTkNDcjXtP7doFN98MF18M110HGlFMJRWMJBlZ3+KmtNjO3iMtAOj1GhRFweMLMrHYHvXeRO7leJUKxXrcP9LFEzNYXHz6RJa/tw8IYtBr8AdUz/IVZ0/st8KQys8NRCmqqm/r8bPx9jbxjOldX9frNCgo6HUaMjOM3X5LKpSxtN+fORzRClz4r75eVdgmToTSUjj1VLXI4YQJSal5kSp6VfBOPvnkwRrHiCPRMJSuN12mzUhOppHsDFPkPQPpJxa52U+8nNOu+B4Tt30Id98Ner0avnnBBSmNAR5sRJz54BPrnGdaDTjbo/s1pusmpD8hY+F762BlK/UtHsYX2ijKsyUcbqZ+Zzs59o7KaS4fzW1ejp+SG/W+fs3dt96CBx+E226Dc87p22cFfWIkycj8bAtVDW1oNZrInLPbjIzNs+H1BtlR39inoh69rcXJaGo9okK9+kA65I8NJkvPUYtOvbXpMC6PH5vZwBVnT2TpOdNY/u6efikMXRWNQEimqt7FAy9s45TZRT3OpXgKSl+Uoq7vrapvY+2nR5k+IYuiPFu3zyayt4ln+Ov8+vJ390Tlcnf9LZt31BCSZcqrncfu+0xjnxrUdyUt9meyDDU1sRW5YFBV4CZOVP/mzVP/LS4ecm9cf+jTiHfv3s2nn35KS0sLiqJEnv/pT3+a9IENd/oSmtj5puvcgHMgi3eshebVrbVcftYFlF51FWzdqoZvPvQQLFmievUmDH8BMdqsm4NFIrH/gZBMZZ2Ldm+AkKwQlOV+z+PB3Lz1NYy4az88k0FLRW0bPr/MpOLMhMLNSsdmMrEwg1fXHyQQCGEx6bFbDBytc5FpNYEElR25d4oCv/vHJ0wqzuz9PASDqmK3aRM89hgMo+qNI4XhLCPDxTu0GtBpJTy+EE0OLydNz2N3RWufi3r0tBbrdZoeN8FAQhvkYRvqlQTSIX9ssMnPsVCQY0HnlMi1m8nvaBMTT2HoSY50/lxLm5c9h5vRazUo0Otcivd9iSiA4fHUNbnJsRsj72l2+rAYtTQ7fBSPyej22WTvbeL9lkNVDmqbXBj1uki/yiM1Tnz+Y9Vu+3ofDur+zO9XQyjLy+HQoWNK3NGjan/psBI3cyZceKH6/5ycQYtsGwwSVvBefPFF7rnnHk4//XQ2bNjAmWeeyaZNm1i8WDTJ7Yn+hCYma/GO6wo/+WT1r7YWXn0Vrr1Wrepz1VVwxhmU17mGpXV0tFk3B4NEYv+fXbWb6kYXFqMOnVYiEAyRbTMRCMp97ukzFJu3vtyrXe+t4vwMMm2qoF52/oyEjlFe7eCDbZXkZBixmPUEAjJtHj/+gMzu8iaQIBCUaXP70WgkdhxsoKaxnQNHW7lmyczuY21pUfPtTCZ45hnIGNqS6aOR4S4jK+pcFI+xcLDKiSKreaJ6rcTnB5qYUpKJzy/3qahHT2uxUa8dcFPrtA/16gP9MWYNh0IzyTLSfbi9kqfe3o3FqCU7w0i7x89Tb+8GelcYepMjnT9XWefCoFPzTW0mXa9zKZ6CEs9r3Xk8e4+00Oz0UNXgQlagxekjx26g3Rvo9llI/t4m3m8JFwIL5+Ia9FoCwRDtnmPj6+t9mOhv6NPc8fvVwiaHDsHBg+q/hw6pXrriYtXQOWmSGs0ycaJafNBsjn2sEUbCCt4TTzzBE088wfz58znppJN4+OGHWb9+PatWrUrl+EYlyVi8E3aFFxaq/fR+9CN4/3145hncv/sD+yYvwL/wPPLGJFjJM00YjdbNVJNI7H9upkntzxaSsZr0TC7OQq/T9EnpSfT7hppkhJls3lFDKKRgtxqQUIVoBmruYrPTR4ZFj9unVokzdghYl8dPqFFm1UflLDmtNDLHp7TVcM6Lf8Wy9FL4r/8S+XZDxHCXkfUtbnx+mYJsS2RTpygKrTVOvL4Qx08dE3lvIkU9elqLX99wkMwMY9R7O98/idxbaRHqlQTKqx08s2oXTpcff0jmaG0b+4+28L0ls3oNWQXS2gCbqJEukY3825sOYzFqsXYUVVH/9fP2psOUXT6nR4WhNznSWdFwefwdha4UJhVnRo4Vay7FU1B6U5q6jsdo0FLb6MXrD1GUZ8Xh8lHX7KEwz9rtsxD7fppVmsPmHTW8vuFgn+dBvN8SqxCYrKjPh+nrfZjI/qzHuXPaeEqDjmMKXFihCytypaVqa7Cvf139d9w4NRVpFJOwgtfU1MT8+fMBtR+JLMssWrSIm2++OWWDE/SfPrvCDQbVTX3hhax9YhWF77/F3D/9N/Wzv8bRhedTWTAxLTbYiQiE4WDdTCfindNEFvFASGbejHw0ncIb+lvZLd03b329t2K1kPh4Zw2tLh8NrW50Wg1mox67VY8/KJNtNzJtfBbrtlUhh2S8hDDoVaXNYtTx5f4GfP4QNrOeE/Z+wtRXn+bti77P/G8so1Qod0PGcJeR+dkW9h5pIdN2bF4HgjJWk46GVg87DjRG5eJ0ruLYE7HW4nj3T7x768PtlXy5/9hYpo7PZEJhZtT7hkt+3qpN5dQ2tWMx6rEadQSCMrVN7azaVM4NV86Nudl9dtVuFBSKcq1JaVuRivOSiJEuUSWwyekhu4tBwGzS0eT09KowvL7hYI9ypPPnJElCQmLGhCyy7Wrtg96KbPWmoPSmNHUbj6JGAwaDCiiq59rrCxIIyMiKEtO7FSudp/P5e+RfX+ILhHD7AuTazVx0+kQWzi2JeY3i/ZZYhcAKcy1RubepCLn8+PMKihy1FByuxVZ7FFvNUUyVFdh+1wizJqveuMmT1QKC112nVq4c5YpcTySs4BUWFlJZWUlJSQkTJ07k/fffJzs7G704sWnJQNz5B2yFtH7/Jxxyt1Py8VrmPPdXZhpM7Jx3FpwxfsiKsozmvItUkcg5TWQRT+ZCPxR5lH3Z+MS7tzofS6/V0OTwUphriUqk10gQDIYIhRRkOYQEuL0BMm1GivIs7DzYhCIraLSSKuy9HWXCJXB7gyg+P+NeeoKcgztZfsUvkCaVEkgDA8xoZrjLyFPnFLF5Rw1uTwCLSR/pg5drN3K0wU27xx+dgze7f421490/vb0WDtfT6yR0GgmvP8gX+xrw+oJk2kyct2DCoMqJgSpMeytaMBt1UWFwCgp7K9RKprEUJUdHldOp47Ijz4Xfm4rKkf0hESNdt0InwdiFTnLtZto9/ogHD8DjDZJrV4///ieHWb21En8ghEGvxe328aPLT4grR8LKUng+6nWaHhWrzvRmQO5Naeo6HllRyLab8PpCuH1B7FYjY/Ot1DV5Ekpr6Hr+mpweymscGPRaisdYo0JZe1Pyepdz7ZSOtUfdi51zb/u6z+w8B8fYdEiHDvLZuvfJyAqQ11QNhw6x6Mv9BPILaS8qwVU0jtp5p+G88CoqDFnc9N0FMY8riE3CCt6PfvQjDh48SElJCddffz0//elPCQQC/OpXv0rl+AT9ZCChiuGFSGO1cXjxpRw++2IsX2xj+qdr1bLrF1wAV1wx6EUc0j10bziSyDlNZBFPZn7AQI8Vy2PWuVl4eOPQUyXMeBuf3u6trpuoz/fU0+4NkJtlQiNJkUT6VpcPnU6LXg/+QAhfQMZo0DKxKAO7xYgktWHSa/AGQiiSGioXkmU8viA5Pien/e0v+K0Z/OsHv6Zda8JX24Z3AI1/BQNnuMvI0rGZXH3uVF5csw9nux+71UBhroWKujamj8/EH1AiOXjZdom3Nx3m0z31fVZs4smm3l7rHK5nNupxtvvxeAMcrWvnBxfPpnRsZr8rK/aVpClMSs+PYylK/mCoWyGIgbatSLb8TMRIF1XoxOllz5EW9DoJRVGizuVFp0/sUFRUA4PHG8TtC3HVuRN5YuUXvLnpMFqNhF4nEQyGeHPTYQAWL5jYr0rmA03r6ElpCueqO4604A+GcLr86HQavjYjP+I5dLn9lBZlJZTWUN/iRqeVIp712iY3WklCAjSSJiqUtScFL97viHdeEjp3waCaI3fwIA1vfsQ5Rw+T01iDuakOT84YWsYUc6hkPHmXnAuTJrFhjxtngKi543L7yev0WJAYCSt4S5cujfx/0aJFbNmyhUAggNVq7eVTgqGkv6GK3TbY3iC142dywvcuAa0XVq6EH/9Yrbp55ZVw1lmD4iKvb3Gj1UqUdwoVGptvxZ0moXvDkURLLydloe8gntV7IAK3W+npho7S0+OzKBpzTHk7eVYBW3bVYTPrafcEkFCoqG3DYtJHWpT0tvHp6d6KVX7bYtRRWeciO8NEuzeAuSPkLT/HQlt7AAmQJA0nzy4gFFIIhGRmTcrlYKWD6vo2FEBn0IICJ7RXsej1v/H5nDPYecalKBoNBiAQDOH2BuOeH0HqGAkycuHcEorzM6LuPV9AZuJYeyT8uqXNy+7yJmQZjpvcvxztz/fU8e/Nh3G5/Wg1El+VN/CjS4+P3Fc9HadzuJ7ZqMNs1CErMi1tvshnUhHiHWvNSobCNH1CNjsONCJJEnq9hkBAxu0LMmdKHhBbUQoXBOlMIhEOgxn63nUPceBoCwcqHRGF5KLTJ0YXOql3IcsKTQ4fsqxQXu2MlOQPKztvbzpMk9NDrt3MVeeqoYd/eemLDuVOPScaHRAMsXprJT+6/IR+VTJPJUpYe5ckMix62jwB3L4AmYqxz4ZMvU7DjgONWE16LCYdgWCIIKDXH5sf4VDW/pLIeYm8JxRSK1Tu+QzePngsR66yUq31MHkyrnYdyvzTOVpUQnv+WGS9AVlRaGz1cPLXTwRggcUhCuUliYQVPFmWox7rdDp0Oh2yLKMReR8jit432JlqIYcf/QjWrVMbqP/pT/CNb8DSpVBQkLJx6bUadh5qxGLUYzGqZXt3HWpi9qS8lH1nogyXnI+uJBoO2aeFvhcStXr3V+B23XQ1OzpKTzt9FOcfKz399qbDlI61Y7MYcPuCtHsCNDl9HKltw2TQMXWcnTHZPW/MEym/DWA16fEFgpHKaFaTXg11M+rRaTQU5FgioUVGnRabXR2fy+3n5FmFtIzLorLORWublzP2f8SFu9bw+FnL+CxnMqZmN9kZRgIhmdY2H23uAMvf3TNs5t5IY6TIyK733vJ390StEZV1LjSSRIbNgEaS+qzYvLp2H8+v3kswIIMG5KDCl/ub+cNTW7jlByf3eoxcu5lmp4dAUCEQDKHXadHrpEi4HiQ/xLunNavdE6C0OHqsfVWYlpxWSlOrF4fLR7sngEGnZWyejSWnlQKxoxkybUYUlD63oBnM0PfOe4idBxs5VOUg06ony26KhA4uOXUCtR0VGZvbvDhdPiRJIj/b3K0k/8K5JTG9UGoBkGhvplYr4Q+EIuNIl7Vw844ainKtkdBaUBubNzt86HXavnsOlU6OXEVtbRIMyXR2AXcOZU0asqwqbZ0LnRw6pLYkyM8/liN35pnwH/+hVq40qHOutstaAt3noCiUlzwSVvBmzZqF1EN/iN27dydtQIL0IO7CqNOpSa7nnqve3P/6F3z722pjyCuvVFswJHtTI0GktVTHVFSUY/8fKpJZMaw/7x0Ig91WItVhQl0VrLDHrGvp6Sanh+Mmq03F3Z4ADa1eJEmdSqFQiJ0Hm5kzJfbE6ny9dVqJz3bX8cFnR5k7dQx6nQa3JxD5XSX5tohRQlYUcuxGGlrVcNDGVg+BYAhZgcJcS8w8pEybEVMowHHvP81kdz0vL7uFupCVXL+qlFY3tgOg1UgEQjKf7a7rVoVPMDiMNBn54fZK3t50mNpmN4FgiMlj7UydkEOry4dWI1GSb4u8ty+KzVubDiOHZOi435BAUqC22R0pLtITJ83MZ/l7+zDoNBj0Grz+IE63zPkpCheHnteshhZP1L0OfVeYSsdmcs2SmT2u9bE2u9d0/I6+boAHcl4G0srh1oc/JD/b3K0K5tbd9ZRdPieS96nVasjLMmM2qNvSziX5e/p+g16LPxBEkhSUDoVHURQMel2/x50qYnlQi8bY0Ou1/OxbJ/b5eOFIj+r6dtq9AfKyzKpMCcjIihwVytoTvZ4fWVbbaB04EK3MHTkC2dnHFLnTToPvfletYmky9TrmROdgOinmw5mEFbz3338/6nFDQwOPPfYYZ599dtIHJRhmTJoEN98MN9wA774Lf/kLuN1qnt4ll0Bmcm7UQFBm9uRcqjoWNKtJT2mxnUBQjv/hFJLMimF9fe9AGWxrWarDhLpaqcMes84J+m6PWmEsvDlrdfnUFyTQIKnellCIPUdaeHDFtm6CL3y9AyGZvUdaMOi0ZFj0HKpyYLepbQ8KO36XXqehsKPaXWOrh+L8DCYXZ7J1dz3tniCSJFGQY6Y4PyPqO8LXpP3gEc57+a9kHT+Td869EYISk4Iye460kJdppqbJhdcXQmfUkduRx9G5Cp9g8BhJMrJz77H8bBOtbT72HnXgC8hk2Yzk2I2RvCHom2Lj8viROzbjYYVYo1EIyUSKi/SENyBz3MRsjta34/EFMRt1TC2x4g0ckwGJrmmJbv57WrOsZj2uDgVkIIpkvM1srNc/3F7JjgONNDk91DW5GV9gS0jh6s9aP1B5FK8KZunYTA5WtlLXrOaQKYoSVZK/t+9fMHMM67bXIKEgSapOogALZo4ZsqJsPc2rZHtQw8cLh/MC7D3SxNG6dlrafFGhrD2Nc+W6A9hMOkpkF/ptO9nzWjlZFg/ZDdVqg/CMDFWJmzQJ5s+Hq69WFbl+FtoT3rnBJWEFr7i4uNvje++9lyuuuIIrr7wy6QMTDEMsFrj8cjVcc+dONXzzG9+ARYtUr96sWd2Sw/tCfraFqoa2qOc8vmBC5bpTSX8qhvXmuRrsYjKDaS1LdZhQVwthTqbqMRtXYIyqkHbR6RPZsqsOgJCsoNOCrIBGI6HIClqNRDAox9wYhK/3VwebMOi0auU7RcHtC1KUayUQlLFZDBEB9r1OAiwsVEvH2jlucm5UZbJuIapHdsFr98F1P4Srr6b2xc/JyzKjkSRmTMimst6F1y9HwprMRjUPtnMVPsHgMZJkZNfeYzl2M0a9FkmSIr3H+hoiGMZmNuDzeyIeF1AjMTQJiIb6FjdTJ+QwfWJu5LlY7VjirWl92fz3tGZNKs6M5OIN5ma1t8bf8Ypp9GetT1QehT2+4Ty5cIn+eFUwofeS/L19f1G+nYlFLirrXIQUdd0uKbBRlG+PO+5UePd6m1fJ9izHDt81RYoNdcPnU71vHX/t73/K+RUVWOqq8eoMOPKL8ZRMYMeYyZz5/WWqUmezdT/OABHeucEjYQUvFi6Xi+bm5mSNRTBSkCSYM0f9a22FN96A225TrUFXXgnnnx/Tld+TgAgzvsDG2k+PYjFqk1KuO1mEFc9mh6/HPlF98Vylex+4gZDqkNCuFsLiMRmcOrsoqopmeBMW3jxoNRKKAnaLHp1Wi8sTQA6GMOp1MXOMwhu+dm8g0vRV7Remx2LW09jq6bEKWkKbJVmGp56Cl16CP/wBTlTDd/KzLWrORqdNkF6rwWjQRJQ7oFtVvnQKUxptDFcZ2d/eY4lw8ekTefrfu5FlkBQ1tE5WIMOiZ/qE7F4/mywDUV+MaL2tWUOxWe2t8Xd/qiXGIxF59OH2Sh5/fSeyrJYR8XjbePz1nQC9VsEM01tJ/t762QEsmF3EqXNi91/t6XMD8e71tp72Nq+WnT8j6dU6ux3v5PGU6nywdSscPnxMoTt8GJqacOUWUGHModY+hl2GYprmn4ivqATZlkEgKOMLhCjIsXDm8cf3a0yC9CJhBe/mm2+Oyi/wer1s3bqVSy+9NCUDE/SPtNvMZWXB976nxmh//DG88gr8+c9w0UXwzW+qCbgkZpWsqHMxfXzWsQ2u2cC4AiMVda4h+nEqiSieiW5Myqsd1DW52XukhSybkZICG9kZppT3gRssBiNEI9FNV/h9Jr2G5e/tIxhS0GhkNS9OVjhufFbkvf5giI93Rve202s1+P0hJEnCH5SZVJwZ9zrF3Sy1t8P//i80NcEzz6hJ6x10nmf+YIiqBhf+gIzXD0aDm9xMc7cqfKJ35OAxkmRkIl6XljYvh6ocHKpy0OL0suT00oTm1NJzptHs8LDq4woCQRmNBLmZBiaNzY4UF+mJrspWTYOLiro2CnKsfSow1BcjWrqFlTU5PZgNWuo6ciP1Oi0ZlsSqJfZnf5CI7Hpl7X58gRBGnRaNRkKWFTy+II+u3MHXZhYwpSST2qaeQwdLx2Zy8qyCbgbeREIb+/Naf6NkyqsdaqsDlw9/MMTR2jYOHG3lmiUzYxbZguh5lTSDgM8HFRWUHj5M6dEj0cqcyaRWOJ84Uf33lFNgwgTKsbJyYzk2s2qI3PrJEXz+EIVGC2ZJwqDXimrMI4yEFbwJE6It7GazmW9961ucdtppSR+UoH+k9WZOo1GTcU87DWpq1FYLZWVqfPcVV/Dvr7RxrZL1LW6Kxtgozj/mGYsVnpNMEhGIiSieiXiuwtcvx26kze2n3eNnd3kTE4rsaDUaUSY4RSw9ZxqgFn9wefzodWo/upmlahhYS5uXnQebsJrU+8rtCaCgMCbbzMEqB3aLgWkTstDrNHG9kb1uVg4dgl/+Ui1QdM893VqPVNS5mD4hi/IqJ7VNHnRaSVX2AjKNrR6CQZkcuzmqCt9Aw33jedUFxxhJMrI3r0t4k1vd6MJi1IEEOw810ujwJFzcx+HyEerInVYUsJkMkU1yb2tuZ2XrWP/KjIT6V3am833Y4vRSWe/C4fKRaTNSXu3o9vl0CiuzmPTUNrZjNGjR6zSEZJm6Zg+Feb234+jv/iAR2VXX7Mag06DVqoXVFBSCQZlAR5i72xPAoNf2+F3l1Q627KqLCl3fsqsukpvck1KfnWGkyeGN5Dx3HVtP4+7qFWxp83K0to3mNm/kN8ca56qPyqludGE1qTmYgYBMdaOLVR+Vc8MVc5ObgqAo0NAQ7YXr5I2jpERV4MJK3NVXq/+322MebnOX/pDmjkrkLU4vpjxrR3EWBas59S2vBINDwgrejTfemMpxCJLAsGkEXlQE118P114LH3wAL77It9d/zr55i9g1dxHtGWqYTtceLoNZ5hkSF4iJKJ6JWIE7Xz+LSR/ZdDQ7fJRdPie9rmE/SVcjRH6OhYIcCzqnhMWkR4JIjtGhSgeSBJOKMyMhm0Wo99fV502PXFOb3RC3mINep6Gx1UMR0ZuOSwKH4bq/wk03qYWJYlDf4qYoz8bu8hYyLHr0OjX3DylIKCTjbA9QmGvjnPklkTEMJNx3ILk+o5GRICM7z9WevC7L392Dw+XDatJj6Oi55fPLHKpy8MAL2zhldlGvnqH7nt3SURhDzbtTFDhS5+LV9/eydPH0hNeHhlYPBp0Gi0nf53YNYaXB4VJbo2gk1QaZk2lMi/WoNwqyzdQ0uAjJChpJzSFWFIWC7N7L4fd3f5CI7NJptWqbkI4WbD6/2qZAq9WgkSSanV52lzezdVctE4syuxmKEg1t7KrUh41tgZBq5Oo6tp7G3TncvaXNi8sTwGrUkmPvfc7tPdKCxaiLzHuDXovHF+DjHTUEgnKP63uvxtlwtcqDnXrHlZdHe+PCHrkFC9R/x44Fbfd+iL3RVRZkZ5jQaCTa2v24vUE17zHPEpVaknYRYYI+0auC98orryR0kCuuuCIpgxEMjGGXu6XXw9e/Dl//Ov/+7YtM37qGb//zt1SOn87OuWexN39yVEhQupb0T1Yvuc7XL9tuIttuijQBHSmLajoaIboqMh5vkDqnl6wMI25fMFKOunPVwPB91ddiDm5PAAmJQFDdkBTYjXxz57/J3fKhWn125swejxWeZx5fAJNRXbr9QZlQRzP1QEihdKw9YvkeaOW2wc71GY4MtowsLy/nlltuobW1laysLO69914mdoS5D/jY4QJAlXs4qaESl86EU2PktIUzKJ6cDxlaaG+nvrkdfzAUsfR7fEFaXV5QwOcPRrUNiRW2+eGXtUio/crChEIKH35ZS1G+PW5hjPD9pKCWxN9zuJkZE3PIzjAlLO/CSstjK3cQkhUyOoXDu9z+9DOKdsJs0jN5XCYHjjpp96ghmlPGZWI29e55Gcj+IN46d9ykHLbtqUeSQuh0GgLBEIqiMCbLREWtk+37GtBpJbRaTUxDUaKhjcvf3UNBjiVqfoSNbbHynnsad+dwd58/iCwrONxBJo41xJdJnYoBeXwBWl1+gJjrezdluL0d9uyBvXvh4EHaduzGs3sf7ToT/vETyZs3i9z589VaBb144/pD1xxujaQq4vnZFubNyI/Ke4T0NcYKEqdXBe/111+Perxt2zby8vIoKiqipqaGxsZGTjzxRKHgpQmD7eFKJqd+43Se0uew/vTLmXvoM05Zs4JT/X6s370anMeD3Z708tfxSFQgJkvxHM7XL1HS0QgRW5EBZ3uAW3+wINLouTOJXpdYCm1hx7/LTsqHW29VDR3PPqvmq3YhyvvXkftn0GkJBEJoNRp8/iBGvQYZNeSm6+ZkIHOzc6ENjy+Asz2APxiiodUTM4xtNDLYMvJ///d/WbZsGZdddhmvv/46v/nNb3jmmWeScuzwXLUYtJicLXiqGzDWN/PVWyupVPxMsCgUGmSuqWulWdHjNVkImK20YsClN+ExmPEarehzsvAZzfgqrWzek4t+0SxKphRz2CXz0UEnQVmtAiTLCpqO0plShyeqp/XhYGUry9/dw8c7a9BrNUwqzsRm0uMPhDDotFTWufqVq9zuDaDrpGiGvy9tjaKAXquhxeljXL4NvU5DICjT4vRRnNd7NelUyperz5tOa5uPmsZ2PF61p53FpGP2pDw+21OPXqd68rRaTUxDUaJjS5b8CIe7Nzt8NLR6MBt1mI16nO3H2l7EOub08dls21tPMOglJKtFSUCieIwt4kWOrO9njId9+2Dd27B7N+zaBfX1MHUqzJhBXdFEVmsnE7xsIvrc7MjafPn81ChQXWsFeLxBgiGZMdnmmMro5h01hEIy5dXOY8Xj7Ma0Nn4IoulVwXv22Wcj/7/rrrtYvHgxP/jBDyLPPf300xw9ejRlgxP0jcH2cCWT8EL/9qbDbJx8CrvmnsVVYzxM37kRLrsMzj4brriC0lm953gk0+rUF89cMpLwh/P1S5RYlSBz7Mao8NbBJlbFwNY2L4dr2vjGzW+g00qMyTIxb3pBn69LTxsSefsXuP/4JDtnncpHp15C/ie1nDpHipozsbx/CgrjCjPYe6QFk0FCq5WQNBqCIYXjSjMjx+9s+e7v3AwX2tBoJBodXrRqF2EMOq2w5HYwmDKyqamJXbt28c9//hOAiy++mLvuuovm5mZycnIGfPzwXG2aOZcNpmK+sregnaUWZdUA/qCan1OUZUTvbkfjdpEt+2ivb8Ls92D0uRmjCWD3uTC21qFpdzH2QIjg2pdxa4PoKus5N+TnOJ8Gj8GMx2DGbbTiMVlw6S24TTaON06m3C1xyK2hRWNEycjEXJiDU9ZTkGNBURQUFPYcaWFsnoXqxgB6nYTL48fl9vepcffKdQfQazUoKPgDoYgnUK/VpLdRrSOsNfx/6HjcSU+NZeRMpXwpHZvJdUuP7xaKrtdpcHv9GPRaQopCtlX1MnZNv0h0bMlSUsPh7uFwRH8ghF6nod0b6PWYJ0zNY8uuWuSOHh+yDJKkUGzXkVm+j8yjB7EfOYDpwD7QedQaA7NmwUknwfe/r/aQ6witfP/dPXhy/YMWzdJZqQ3XCjAZdeyraEWnk7r1Uwz3JjTqtVg68vWO1Lbh7Qi/FaQ/mkTf+MYbb3DNNddEPffd7363mwVTMHSEN3M2i4HGVg82i2FYbcIWzi3hnhsW8tit53HPjWcw7+qvw113wauvquEKt9yiVuR84w3wemMeo7PHJGxRs5n1bN5R0+fxnDqnCJcngMvtR1aUyAYiHMKQbIb79UuE8QU29la00u7xYzZqaff42VvRyviC5Pfb6YnyagfL393Dgyu2sfzdPVhMejydKofVNLpocQVQAL1OrQhX1ehmz5HmhK5L5+PXNbmpaehU5VVRKFzzFouef4A3T7uS7ed8k7wca8QQUV7tiBzjsZU7OHC0lfJqJ442n5qbadQRCilMHZel5uDJoNVInDAllwlF6ni6bk5Kx2ay7PwZ/OxbJ7Ls/BkJz6eLTp+I2xeiyeFFI6l5pcGQwszSnH7fUyOZVMvImpoaCgoK0HZsELVaLfn5+dTURF+HcMP1YDBIWVkZq1atAtSqnmVlZaxevRpQWziUlZWxdu1aADIMIV587Hcc3L2N/RVOCLio2/Y0nqYDBEIKIa+DIx8/SWPtAeoUA94cM+/s/Dc7bBaOzj2N7dOP5ynPUd6edRLvnPc9Xjv3Cm6xm7h30be5cdEvuPHcH3N16Qz+fHEZj519LS/MPIPXte18mV1EQ0YeRVYv5W89h+nD91mwbTWXf/AkVz71C5bd9xN++befcO6vvsc37/8BS5//PUtXPcaMf97DrGdv5oSP3mDOrs0Y175M04rfkdN4BBwO1q5ZQ1lZGS6Xev+tXr2asrIyvF4vm3fUUHPgU/aufxSfX733mw5/xqv/uCeyxq9cuZLrr78+cl5ffvllbrrppsjjF154gZ///OeRx88++yw333xz5PFTTz3FrbfeGnn8xBNPcPvtt0ceP/LII9xxxx2Rxw899BB333135PGDDz7IvffeG3l83333cd999xEIysyenMvBT1eya/NKDHotsyfnsnHV0zz00EMR5fWtF//O/k9XRdaWv9z3e0K1myPyZf0bj0Hj1sh6cPPNN0cZLH7+85/zwgsvRB7fdNNNvPzyy5HH119/PStXrow8/t/bfsFX2zYAYLfo2LX2ESr2bUGv0xEK+qne+k8cVTsAaHO2Ub7picjcy7YobF/9N+qO7KSx1YMUcrN99d+oOfwVALW1tZSVlWENVePyBKiuquTFx3/Hvt07qGlq5/Dhwyz5xjL+9NgblFc7OHDgAGVlZXz1lfr5vXv3UlZWxt69ewGQ22t48bHf0Vh3lJICG021B9ny9l9RvM243H4O7vuKd174PyorKwH45JNP1OPtPcLsSTmMbfiCcW//niu3vsQv3/0zl//2+9h+/1NM5fuoLZ7M6rPO48czZuB6+GH4n/9htclE2R//iDegKpCrVq3iub/fidGgauVfbdvAS0/8LmKc6+/cC8ueH/38br7zHzdG5MkTTzzBq8/9laI8G3Om5BGq3cS+j1dwpMaJxxegad97fLl+OU+9vZsPt1fy4IMP8tkHK9BIap7hvi0rKd/2OhoJ3N4g9957Lw8++GDk+++++24eeuihyOM77riDRx55JPL49ttv54knnog8vvXWW3nqqacijwc698rKynjzzTeBvq97ra2tlJWVsWGDOncbGxspKyvjo48+ipp7n3zyCQCVlZWUlZXx2WefAXD48GHKysr44osvAOLOva+++oqysjIOHFANGl988QVlZWUcPnwYgM8++4yysrJuc6+2thaAjz76iLKyMhobG4lHwkVW8vLyWLt2Leedd17kuQ8++CAplkNB8kinal995dW1+yKVDG1mAxefPlGtcJidrVq/rrkGNm9WG6iHWy1ccQWMHx85RjJDAPsSEposr+Fwvn6JEMuKOK4wNa0uYlmxgci10molPttdR0OLm0BQJjsjRFaGkSanDwCdBjSSBo0OZH+Q8ion4wt7z4noWkZbllWFEaA4U8/05/6OtfIwa3/8W3yFY2Nab8NjbHX5sFvVMLSwx6KqoZ2QrDCuwEqoQUZWVOuz1xeMauSeDKt82Kv+6Mqd+ANBLCYDx03KZXyhPeXVa4cjw11Gzp9VwL9kBa8vSCAYiniKlI6QSkkDKGAy6pAMWuqbfZgMOo6blIvObkH26FBkhUAohD8oU5BjYa8vSE2TG53Vhz8o4wsp1IT0ZOUX0kyAttZcqiYczzmnHc+k44388le/Z+ycS9FaxtBad5Cm/WvJmXkJufYc5ljq+Or915hQegY5Wi3+yr3QVssUPMzPctJ+9BBT93yF+bbbwO1mfnU1RW1thI5UchAzujYni5z1tN57Pzn1MnNcdehaG5ktNVHRbqDB70NR5Mi6vX1Ir0bPhL1YuZkmdHoDc6bk4XL7MRvU7VzYyKnXaUA6trY0tHo4bqYpkqt26xcvk2Pv3o+2P5RXO2hs9TDGF1RloMtDmzvA1JIsLjhuNv94/QtQ1Oqa7R4/Hr/cr+8uzLVy/Nwp/Hv9FwQ68o/1SOi0kuot9AVZue4AXyvtvQDJnCl5rJHV9bIk30hBjoUKjoW5nzGvmDcOdhyjrQ3bzp0s3LOHGQf/xLimGtoDfr4I+TCdeCYfWM9kl78NZ902Fl/0XYKSibGGGkKrD/Q6BoNeg8cTQJ9xLHcyYpxLcGkNy7iN26toqnHwzKpdFOVasZr0OENyZB8CYDJocXsCkfngdPkZo9VgMugIIKHTqZXM3950mAJAr9MgK6p3W0ENqY5U2RzazlSCBJEUJeLs75VNmzbxk5/8hGnTplFYWEhNTQ0HDhzgz3/+MwsXLkz1OAFVc168eDHvv/8+JSUiyX+4kEip9VfX7mP5e/sw6DQY9Br8ARl/UGbZedMiZeyjqK5WPXtvvKHGtF9xBZx5JsvX7O8WwhF+3FPz6YESztEazO8crjy4Yht5WWY0nfqFhQvJ/OxbJybtezor3Z1Dfox6bSRvZc+RFgw6DYqi4HT78fpD6LUaNRxRA0a9umEKhWQCIVWZuvq8abg9AWqb3ORmmgiE5Kg8z4df2c6OA41YTXqCskxrm492b5BibwvXfvQsypQpZNz1v7y2parH8xDewJVXO9UcI71WLWfd5sNm1qk5Ny4fOq0GjQTBoIyMxMTCDI6fOobxBbaoxu4DrXwm5ndipFpGNjU1cf755/PJJ5+g1WoJhUIsWLCA1atXk5OTkxT5GN4wvvrBfhRFwWo24HD56IjORaORmFBop6HFjT8oM7k4E2e7n5CskJdtpL7Zi91iYGKxHaNOy4btVaDItLmDaqhnp/DCedPHMG18TtQcKrvnPbIzjGikY8FFtc3tuD0BLlukblRb2rwcqnQQCMm9V+wMhTiyt5L3Vn9BdsiDPehBaW5GaWnF6mvH7HFh87kxtDvRu9rQtjnQy0HyJhSp+bDZ2eq/Xf+6Pm8wRH1tqisPllc7ePTVL6lpbMcXCGLU6yjKs3Ld0uMpHZuZkjU23m+Kt0bE2wP0tF6Hle2evn8ga1PMY2bpYf9+tRDK7t3w1VdQVwczZsDs2azxZlKdPwFdUWHkOOGUg4JcS5+ud7zf3NfPf76nHrcvwOxJeZGCYJ3PRdf3v7nhIHqdlrwsE2ajqmTKikxLm4/Hbj2P5e/uoaqh7Zgx1qQnJ9NI8ZgMse4PExL24J1++umsWbOGDRs2UF9fz1lnncWiRYvIzs5O5fgEw5xES62/tekwBp1qTQIwGTRAkLc2HY6t4I0dCzfeqPbSW7sWnnsO/u//+PrZF/CS/Thc+WMGLY8tUa+hKDk8eIVkeqrWufNQEycfV8hXB5uQZYWWNtXTJqHmVxSPyeC19QfxB4L4gyEURd0cKQrotBIaSSIQUnsfOVw+5s3Ij/LYhstoh2SZpo68tXk1u7h0wwuUX/ItZv+/65hYnEX+/pYez0N4PpUU2NhzuBkAnU6i3RvAYtLi8gbRaTUYdFpAHVtehhFJkiK5LMmsfDYackOTQaplZG5uLjNnzuStt97isssu46233mLmzJlJ9RCGIwhMeg3L39tHMCQjSWold4AcuxFnu59gSEZRFAJBGbvVgNsbwOkK8v0lMyPGBZvdgF6npd0TQqMBRZEApaOgCny2p4HP9jSwYvVeTpyWy2+vWxizwbpBKxHQayNtS/RaDcX5tvhzWqtl01EP8oSJ+CwGGjqedrn9BIJqgYxum+vTxpNnUaC1tfvf4cPdn2tpUYskdSh9Dr2ZuhaZ0sxMJmVm4tIa2f6+EdMpUymaWAgZGcf+LBa1ukwfqapvo6apHVlR0Om0yIpCTVM7VfVtA66cG4tEIlQGGjnTW3VloMfv7/q9ifazAyi1aykd44bG3fDhHnhij9qjd9IktZrxCSfAsmVqHl1HWPTkagdfrjuArWMuuj1qQZn+tDEaaO5+13MWCMmYjToq610RBa+3fGyr2YBeS0S5A/B4g5HK5eq6307pWHvUPZKqFBVB8klYwQPIycnhG9/4RoqGIhiJJFpq3eXxYzFFT0eDXoPLE129sBsGA1xwgfq3fz95r7zCfzxzB+XF0/jihEXYTvxavwqe9IVEBKooOawyWMpCTxsOUK9NS5uXNrcfnVaDVpIIygrb9zWw61AzeVlGjtYFkTo2o2GPQ3FHI+HKOldHWwK5W/8tACRwugJogXM+f4e5uzax/OvXUnrWQtp21lJanNXredi8owaX2092hokZE3OorHPR2tF3LDfTRE2jG1AIaGV0OlXpbPMEqG1289jKHeTYjUlN3E9WEaHRQKpl5G9/+1tuueUW/va3v2G326NytJJFOFQ+FJJx+UMRz5vdaiAvy0xFTRuBoExOpinSD8xi1uNw+amoc0VZ93ccaGTPES86rQZFVhW7cBXNMArw2b4mfnDHO8yYmEN1R0hzuNJfSJFYumgy3oDc5/nX0zrQ2OrpfU7n50d9pkfjnKKA2x1R+D559wvkpibsfjc6Tzu5Lgc5DieO/Z9RlGuAtjb1z+VS88htNvWvs+KXkdHzczYbG1btYoxOj8GegaJRPZ3tnmMyNdlrbCKtbXqTgYkYeXtTEDfvqCEkd6nmmKlWc8zPtkS8TJF+diYdOR3tLiIy1iapXrnOfw0NkYqWnHSSmt9fWgq6nrfFyV4Lq+rb2HGgkSanp1uRk3h0PWdWkx6fPxgpFAO9K/bTxmex+3Czmg/fca+5fSGuOndi5LeePKugm+dVrPvDh14VvP/8z//kySefBGDZsmVIPVibnn/++aQMJpU9fgRDQ6wKhV0raAHYzAa8/mCH507FH5CxmaPDX3pl6lS49Vbqrvw+Tf98iRPffg7rW09hvPJy+O5V3YR2skhEoPa1/9tI9fYNlrLQecNRUetkX0dhF4NBy6EqBx5fMLKe+YMyqmdBQpLAbNBjMWnx+lUPngTYLHoyrOo8DpdWt5r0tLR5qaxz4fL4kSSJolwLByodtLe6uHrTcrLdrfzl4l+QMa6oT9Utw/PJ6fJR3eDC4w+SYdZxsNIZUTpDsozPI2PUawnJClaTnlaXjza3H4tJH9OK219Gem5ofxlsGTl58uSoYgPJpnOofKbNEAmVP3VWPo1OP01OD2aTHoNBQ17msc1lICCTaTVwqEot8hCe0yfNzGfvkWZCIQVdR05YVwUvTJPTR47dRFGuFa8/2K3Ben/oTfFIdE7HNc5ZrepfcTG7dvjIm2WmOUZ45Iyu4ZGhkKrohZW+sOLX+d+jR6Mft7VxyfZyrEEv+mAAv8GEz2jBZzTRpjFC+UxKMzL4vmRknxMaMFCYn8fMuaUU+1vYvOEob37RTKPL12O6RFd6U77CcupQlYO65nbGF2RQNMYWJQMfW7kjrpG3t+t0qMrBkVoH/oBMSFZwuHw0Otz4/DJnnVgcKf0f8PjIbmkg29HI10xuxn/uwFBdheEvdWAIwfTpqjK3cCH86Edqw3BNwnUGIyRrLUw0uqknup6zkgJbJD0gVj52rKrMvd1r5dUOtuyqo3SsneMm5+L2BKJ6rCbKSN3LDAd6VfA6WyKvvPLKVI8lpT1+BENDrJCbzmEAYS4+fSLL39sHBKNy8K44e2Kfvq+82sHKLTXY5p/DkYVfx7B/L2M3rcH2ryswz5+ntlw44ww1rCZJJKK09CWEZaR7+wZDWQgr3dWNLnaXN6PVatDrtFgMWmqa2lEUhWBIRitp0WklFCRQ1MTyQEimOM+G0aBjzpQ8Wpxedh9uptXlQ1YU9FoNrS4fBn2QwzUODHotVrMOs0FPa5sfXUsj17/7BA32PB49/3pCOgNTcy3drKk9WW/D8+nF9/aybW8DJoOWwlwLLU4fHn8Qm1mHwxVAq1UraKphdBLTJ2TjcPlp9/ijwnRGWi/FdGKwZWSq6SlU/qvDrfzj9q8D6vp0//LPcHsDWMx6AgEZfzBEhlVPXXM7+dnmyLpV6wlw+pxCNu2ojZSi7w2bxaD2uEtSfmcyvFl9Mc71KTxSq4XMTPWvF7pukLfsqkUOydiMOgw+DwafB9nhIIsAZ144GZxOch0OTg2HkdZWwop1NB6pJetwDdcFPARMFtwGM64nLFRPL2Hs5LHqOOz2Y39mM5jNTG+swdmgw5hpQzYYkXU62nwyJjS89v4erFYTE8faMRo0VNS68PpDTC7JisjARIy83a6T24/b5eXrc/LYuXUf2gYHeZKMOeTD4GlH626neE8Ay8defnz4MKa6GvRNDbTbMnHmFOLOL8I9Ywp1x32NzcYsfvTjC/qlzKWSRKObeqLrOdNrNYzNs5Gbaeqxr13XedzbvdZXo3QsRvpeJt3pVcG75JJLIv+//PLLUzqQVPf4EQwNF50+scMqFTsMIEw4z65zFc0rzp7YLf8uXrJ210UpOH0mu8ZNplKn8C1NJaxYAX/4A1x4oarsTZqUlN8ZT2npi+BPxsI6FCRqqUvkfQO1+oWVpLue/ASNRsJk0GG36jEb9bR7/Lg8QeZMzqPZ6eNwjROzUYvZqMPe4aXzBY6FumTbTUwozKDZ6VMrxWWbaXR48AXUoiwhWaHZ6eeEKRlI+/ZxzaqH2XH8mbw+ZRFGvRarRUdDiweDXhvZWMaz3paOzcTh8lOUa4lsAFqcfswGLVqNlgWzc9hf4aClTW1hMHfaGMYX2mlp87K7vAlHhzIq8uVSy2DKyMEgkVD50rGZXH3uNF5csx+Hy0+m1UBhnoWKWhfjCzKi1i1Hu49mp58ZE3OobXIjKzJev1qltnP4c2eS2Wg8GREDfTHOJTs8MtYG2ajTUOdUc8zMJjPN6HFnWvnBRTOhF8Xgvoc/pN3jjyiGJq8LpbWVLxQ/P144EZxOcDigqkoNYfR4wONhYZODqiMNGOUAhlAAJRBA8fvRySG0oSBaSULWqZUY24MSQY0We5aVrBwbZFj4cXkLPkWDxmBA1moJaXV4ZQmNyQiejaDXU+r386PyozgOVaJpbsKkhLBajZieMPPdmna8aAnpDQT0RjwGM+16E6EMO/VTJqE572I8+UVsbdXiUTSRapqnzC46JnPTTLmDxKObeiLW3J6daWLr7vqYIZ+x5nGjw83G7VWs23a0234qGRXJh+teZqSQ8Kx/6623OHjwIACHDh3iu9/9Ltdcc03kuYGSaI8f6H+fn+He72LDhg2UlZXR2toKwNq1a3vs8wNqr5WysjKCQbXPz5tvvklZWVnkPA5Gn5/3X3+SH1w0E6vZwM7Nr3Nk20p+cNFMFs4t6dbnp/zzNznOsoOXfn8x/7j96+zfujKq18pPfnErv//jA7R7/GRnGNm+7jnu+b+/8OF29fzdfvvtrFn1UiTX6u0VD7Fl/RtYzHpq20PcvG4dz55xBjzxBBgM7D7nHA4tWgT/+he0tg6o18qL7+xg0flXsuSHf+CHd61m+dvbo+becRMsvPb0H/hq+xa1xHx9A689/QdMfrUJcnjuPbn8bf79UTmrN37Bo/ffzqeffQqA19XIc3+/M23n3nMvvsZ/XXcdW3Yc5WCVg1Vvr+K/rruO/RVNlFc7+NU9j7HkG8t4+JXtPLNqF1s3vcf6V/8cseg98sQzkblXXu3gnvsf5ZWn/hTZ1Pz+T3/jhp8cm4uJzL1nHn8QnU5ifGEGzkPvU/7pq4AqRKt2vs22dSsoHWtnQmEGDbv/zZHtb1KSb6Mk38aeza9Qsf2tSP/DT9c+j9X5CT/71omML7TTfvBtGve+jwwYdFpadq0k8PJDXP7Kg3xw5hW8ZXGT6f2CsWNsaLVadqz7J9qWbRGh9rs7fkXr4c1YzQY0koa9G/+Bo+IT3t50ODL39n6xHnPHZvvTf/+VturP0Wgk3B4vn7z1V8YaKpg0NpNxY8x8/NZf2Pvlx2RnmCjK0bN/42Ns2rie8monLS2t/PynN/Dya/8Ght+6N1xItYwcDGxmNSyzM51D5cN9tj7dU8+MidnMnpRLYZ6V4jEZ5GebKRpzrJ9lS5uXIzVOHC4fsyblcsrsQo6fMoaZ49VWI12Vu6IcdTOZbI9zf/tAhsnPVr3vnelpjMnuZRqrr+vkkiymT8jGajbQ0ubDajZEZGpvqOG1OhSNBp/ZiiO7gNaJU/k8b4pq8Lz6arVo2c03w513wv/9Hzz0EBkvPIvxlRfZfMfDvPzfD7Lh3n8SXLOWF3/7D1b/9WXe/fOLvHL7Y9z33d/xz/+4g2e+dQsfXPsrlp9/HUdvugX5llt555TLWXfSEj49+Xy2zlrI55PnM+YbF8CCBTBnDpxyCvaf3ci4Ff+geNsmcndvx7RtK2zYwCP/9See+NHv+fu3f8Pfv3Ezz196E+9c9l988PVraL70Cg5POYH2whKKirPxB0OqZ9moS3nf2oGSazdH9V+F2NFNvdF5bo8vsLFq85HI/ihsNAzvj/KzLdQ0uNhxoJGPd9awcXsl2/Y0oECP70903vdEfYs7sh8Lk0wDjqB3Ei6y8uCDD7JixQoA/vjHPzJnzhwsFgt33HGHCKMc5kR6qXx6lIYGF+XVjqRaVxbOLWHh3BIeUrbjcDj6nU9RUetCrzVFPBp6rQaNTooKabCZ9FG9XuDYolQVfmL8eLjhBh7ft48lWVlM+uwz+OtfWdraitZmU4WdLfHG26+u3ceLa/cjKwpajYTD5eOFNfvwVjupb1YXsgmFdvKyzJiMOhpbPVg7LLKFudbIcRwuH6s/qUCfNRGdVu1Bc7DSwZhiB9pAAIP+mD2mqkGtVPfC6r3MqtRSaG3v1zlNFp/vrccfDAFgNepoAfzBEC+9txez2YjXF0Sv03Co0oHbF0AfUguYhK/Tgf2OyLE276jBqNdGqlbaLAYMei1NTd2b24fn7kc7qvG7HN3mbjhEuDMebxCbyUBBjonyaid1LR68/hCZNgMyCoernARCCnrgcLWTScWZTCzKJKvD2lrf4sZi1CHpDRRkWzDoNMyp3M+Z1Ud5/bu/oa5wInxxGLNRF+lR1fClOarvUyAoo9dH29cMem2U9dZqMuDxBiPz3WzU4g/KGHRaPAr4fCHsuQZCAYlQSEFGVUa1Gg05dhMmg5bSsXYk2cv2kMLmHTXMP9lBRh/SWgWJMxJkZG+h8rFyeDqXde9asr6yzoVGksiwGaKKEc2dUYTFpGfbvibCOt6YTCNnfm1cZFOeTh7nvnrlkhmC3pMXxe0LcusPFvTpWImmS8Qi1m+KynNu9oHFig8w2LVoSvJQ3H42ugwsWzoPz6SpvL3pMAc6Rd7MTnAfMH1CNjsONJKdYUSv1xAIyLR7A0yfkB11bTJtRsYXZlBR68LaoRSnIr87WTlliUY3JUq8kM/xBbZIvqLZpKO6wUUwJJNh0aORNN3enwxv9GBVzRbEJuE+eCeeeCLbtm3D5/OxcOFCNm3ahE6n45RTTmHLli0DHki8Hj8g+uClgoH2Ykn0O5KxIMbqkdS5b8uAfo/bDevXw7vvwrZtcPzxsGiR+henOMsP71qN1x9Eq5EixTtCIRmtVsOpc4oSPpe3doTQaDQaGh0etBp1467VSpwwdUxUT6BUX7O+ctN9H6DTSpHecaCGOTa0eDhjbnFkgf94Z03kfXOm5AHdezQl2sepp/MwsTAjEqai02hwuLzkZpqjhOiSUydwuLYt8tmaRhf7K1rxB0Pk2s2UFtsx6LQxz2t4IxsIyew/UMeSD14gt6mKNy67AU1RARIShbmWXq9N+Fp33myFH99zg9ozrXMYZ3jsjnY/MyfmYDLqopq3d72/wpU4Re+6wSPVMjIeyZKP4Sqa4VD5i09XQ+Xj9Rzrej9u+qIarUZi5sScSD5o+D62GbWs3lqJPxBSvewFNsYXZqZtEYahKhSRzB6UsdaT8FrYuUJpf/q47TjUhF6jtpCZMTGH7AxT1Jo9kPNXXu3g2VW7cbjUljYGnZZMm5FrlszstUdeKki27E2kR3CixNsfde1rV1XvwmjQYDLoKcixdHt/+PcO5Nym415lNJGwBy8nJ4cjR46wb98+5syZg8FgwOPxkKB+GJfB6PEj6E6qY6STmWSbiAWyLzkX3RavE06j9MILVWXv449h3Tr4+9+huFhV9M46S+2J06VSXjhvxe0NIUmq10nqaKZtM+sTPpfhmHyNpFaoU/tNBfEHlKjzNRhx7f1a2LsuBQoEQ0pUiEYipZwTtfrFOg/VjS5eeK8ak0GHgloBMyRDIBjC2xaKVAqrqHNFfbZ4TAa1jaq39WszC7p9T+ffHrZs5oQ8lK3+O3WYeeKSnzF7RjFLTi+NfKa3+ZeI9TYs6DtvAK46d1rMDUDX47++4eCA8yc6IyqhxSfVMnKwmDejIGrDP2+Gej8kUk2x3ROgoUWNUMiyGcmxGyPKHaj3cUWNg4NVTrQaCb1ONWIdrHQya0JOQkrLUMzFoaoim8ycvljryVkn5kcMXX2Vz51lrQRIkhRR7uDYmj3QPUDp2EyuWTKzx2s+mNcmlsxxuHw8tnJHnxudw7HopmQQb39U3+KmKM9G8ZgMANZsqcAfCBHoiLzp+n4Y+LkVLXaGloQVvOuvv56lS5ei1Wp54IEHADVXYsaM5FmDB6PHjyCaZCTS9kYylZFkhjTEFTrnnKP+BYOwfbvq3fv5z1Xl7qyz1FLLc+eCwRBp8SArSiSpNRRSMOi0fTqXuXYzzU4PgaBCIBhCr9NiM+vJsZv7XZGzP/RHIIfDaCRJioTRuH1BCjqqRyZayhkS39TEOg8HK1sJhhQ0koSsKHj9IQJBGZcnyJ3XnRYZf9hL2Bl/SO6WGBTrvJaOzeTKiVqkX/yGfbNOpvbK7/H/TiiOOjfx5nZs5a279ba/G4BkhsaISmiJMRgyMtX0dq17mlN6nSbymdLizMj9etaJxWzZVRdpUB5+vqLe1aHcqfn2Gh0QDLF6ayU/uvyEfo9vJM7FnjbIQFQ7ip48+V3PSdf1ZPm7ewYkn8MKQHjN1nekFnTt6xnVkDsoU1Xv4oEXtnHK7KKEFKJ0adPSrbG608uR2jZCssJxk3OHdD7G2x91vX+njs/k870NGPRaZEWOuZ9KRkG0dLl2o5GEFbylS5dy4YUXAmA2qxN87ty53H///UkbTKp7/Ai6k+oY6WQqI4lsihPdACSseOp0MH+++veLX8D+/aqy97e/waFDMG8e/5UxkX80Z9Jgy0PWSighhZCsMKs0q0/n8qSZ+ZEeVAa9Bq8/iNMtc34XxSbZ16zrAt3i9PZZ6C85rZSmVi8Ol492TwCDTsvYPBvnzC9hy646ILFSzpC41S/WeXB5AmpTZYiEy0qSQqvLz/88tJGxeVauOGdqzM8atMdCW1qcXirrXThcPjJtxujcvo0bGXfHHfCbX1KyZEm/zjkk13rblWRa/kUltMQYDBmZanq71j3NKaNeG/MzFXWumPfxhs+r0OuioyC0Wgl/IEQ8ehrfqo/Kyc4w9cmrN1y90lX1baz9tDISsni0to0v9zdgNukoyrX2SfFNVD4nsonvac3uHE3Q4vSy50gLep2E0lHAajgp6F3lRmW9C40EGTZjJM/U0d5/j95AiLc/6nr/5trNlBZl4guEeuyDF28vNdoMLsONhBU8UKtUrl+/noaGBq699lqCweCwCz8RRJPsss5dSbYyEm9TnOhmtF+KpyTBtGnq37XXqmWlP/mEkzdvZvxnr1HT4mX3mElUFE1F+tqJZOfb+nQuvQGZ4yZmc7S+HY8viNmoY2qJFW+XqnbJvGaxFujt+xs4fmoencvMxDs3vYXRFOdnJFzKufPx4gmIWOdBQoNWI+Hzq+GysqwQjkAxGbQ0Obw89fZulpw6gdqOCmHhz9ptBiQkqurbOFLbhkZSq2vnZBpZue4ASxcUM/Hlp2DjRrj/fjVPM01JZmhMqj3GI4nhLiN7utaHqtQiSJ1DMCcVZ3Leggm8vuEgmV3KvYfnR6z72KDXEgyGVM9dB6GQgkGvevR6y0uKNT5/MMQX+xs5aWZBwpvMVG5Mk6k4xhrnM//eTSikkGUzYu3oQ1hR10ZOhpGp47KBxI0wXeVzS5uXQ5UOAiGZ5e/uiXgGEzlXPa3Znb+jst6FoaMXos1sGBbGos7XU6/T0NjqoQh1jjtcPjQaNTIFjlWOlWWGxKPX2/4olkz4r28e3+O4EtlLCeNfepOwgrdlyxZ+8pOfMHv2bLZt28a1117LkSNH+Mc//sEjjzySyjEKUkiqY6RTrUB2JdHNaFIUT7sdzjsPzjuP5yeez76NXzKx9gBTju5i1heryM62YDnlZLIMp6jhnJMm9dqPp77FzdQJOUyfmBt5TlaUmCGCybpmsRZou8XA4SpnVCx+IuemJwHf+fl4/d/6QqzzMGtSNvuOtBIMhdDpNPiDqnJs0EloNRo1J9CoZevuesounxP12e91zMnHVu4gJCtk2Ixk2gw0O3xYDuzG9cdf0HL2ArJXrICMjB7HlS6egWSFxohKaIkxEmRkrGtd0+iirrkdo0FDuyeAo90fCcEsHZsZd350vR8WzBzDhi9qIBhCq1Vz8EKywpKTSuKuD7G+q7zKid1i6NMmM1Ub02QrjrHG2e4OotUSUYgNei0oCo726GrBiXjixhfYIhEW/mCInQebkCSYNemYcmI0xPbQJnquOu8BXN5ApBjLpJLMHsfZld7W1GT2X431ma6VYyUkAkGZxlYPmTYjOZnGSN5hT5Vj00Xh6YtMSGQvJYx/6U3CCt7vf/97HnzwQU499VROOukkAE444QS+/PLLlA1OMDikMkZ6sJNsE92MJlPxvO/ZLaz7ohbJnk9tZj6bp52GoihcMk5D2WTUHL7nn1ebyJ5wgqrszZsHM2aA4dg4+7KRTuSaJSLQYi3QpcV2vtjf2C13JhlKebxSzn0ZO3Q/D+XVDh599UsOVjkiIV9ajYTFpEeWFfQ6Tcxmsi1tXlZtKicQUktwz5qUg0aS2HuogTM+fZcTdqxn1cKrkU86m8vbZEp70O9GYsjKYBtphisjQUbGutYVtS5y7EYqats6KhgacHsCvLhmH8X5Gb3Oj1j3g6TVcuYJRXyyuwF/IIRBr2XJSSX86PITuPXhD3tdH2J9l9Pt5/ipeVG/I94mM1Ub02QrjrHGKWnA5w9R1+yO5GpLGomQHO0p7io7Yl2LLbvqOHlWARV1Lj7eWYPVpHpmOxfG2XmoiZOPK4w6dl/OVaLFWHqitzUVEvMu9nddjnU9ze0+KutdFORaKMm30eTwRmRlq8uHViNRkn8s/mW4KjyJ7EeE8S+9SVjBq6qq4tRTTwXUGxRAr9cTCsWPmxeMbgYzyTbRzehAFc/OCsj67TWAmkcSJhSCf1dD2c8vhUsvBeDIzkMceGs9+vc+Z/zTr1DY3oTphNmqwjd3LqdNnsirW2rijj3R8SUi0GLmoum0zJ02BpvFkHSlvMnpwWzQRm1OMizRCtdAlKTSsZlct/R4Vn1UzvZ9DbS2edFq1MqmIUUh26rH4w1iMeoi36HTSh0FYlTLtV6rYfveBkytTXxz7dOg0/PEVbehzR9DaZyqqJ03BJ3z+B5buYOyy+f0a34NdX6QqISWGCNBRsa61vnZ5khebdhrZDHpcbb72byjhmXnz+hxfvRUxMNmsfLSNSd3+/5wJeHOdDbIxBrf3Klj0OuiIyPibTJTtTFNtuIYa5xmg5Z2TwB9MIReK+EPhvD5Q2RYDL0a5XpSPivqXCw7f0Zk7J3b04QrIB842kJFrQuPL4DZqGd8oY1p4/te4Tw/20JdcztuT4BMmzEhGdeb0gwkpFD3V/HuVlSlSwim2xNAQSEQUj16PVWOHY4KTyJ7qeFo/Etma4p0J2EFb/LkyWzcuJEzzjgj8txHH33EtGnTUjIwgaAvdN4QGw3aSAhFb5vR/iqeXRWQsN1UlhU0GlU4ShJRFtXyagcrv2zBNv1rWOaewh5PAG+LkyvyPIytOgBPPcXE3bspG1PE/pwJlOeXYj3uOGbNmsTmHTW8vuFgnzb6iQq0nhboVHmcLCY9tY3tGA1a9DoNIVmmrtlDYd6xhu/JsIJnZ5gYX5CBXquhrsWNXqeQYzciywpuX4gpJZmR7whX9QSorm9nTLYZ29bNXL7pRT6ddzbr5ywmEJI4wapP2DMQLiZg0GnQ6SSO1Dr5/VNbmDt1DEtOL+31d6SjF1BUQovPSJGRXa/18nf3sHF7FZm2Y0pGIChjtxoi90JP86OvCk9/mnGfMDUvqpBTIpvMVG1Mk604xswzliQyLHokSSIYUtBqJDJtBqaUZPVqlIt3LXoau92qZ+ehZgw6DUaDFq8/yM5DzRw/Odpr2hOd17OJY+0YDRoqal14/SEml2TFNRbFG3ci86u/ine3oioxQjCLoFsvyFREv8QilYbARAx7w834l8wUkeFAwgreLbfcwnXXXcdZZ52F1+vlN7/5DWvXruVvf/tbKscnEMQlVpx8qpSUD7dX8o83d0U2IdPGZyGhtoDrHCCjKGpoYJjYSouddcY8lv1YbSpKIEDr+i14393IxC8+Ived5chuL9kTJ+MunUx9wURWHxjP179xCqXFWb2OM1GBNtgLdEG2mZoGFyFZQdOhBCuKQkH2sbEOxAreeS6UFmdSkGPhUJUDrz+I2xeMVAr7dE99xDrd7g0QCIZoavVSXHOQM75aS5GzjmcX/5DasVMw6rXYjVqc7YGEPQPhYgIhWaGx1YtepyHDohariKesicT14clIkpFRhSW0GtUw4glgMekJBGX8QZnCjiqBvdFXhSdeqfd4YYaJrmGpWveSrTjGGue4ggyy7Eaq69tp9wawmvSMzbcSCim99hGMdy16GrvLHSA3w0AgpCr2JoOODDNs3V3P0nPiGy+6rmfFYzLItBoTbtYeb9yJ5H8eqnJwtLaNSSWZCYeGxjon8UIwu14vvVZVinsy0A7EmzQYhsBEDHux0iS6tvBIF7mVaIrISCFhBW/u3Lm88cYbvPHGG3zzm9+kqKiIBx54gCeeeIK//OUvqRyjQNArg7UhDlt/PL4AZpOOQDDE9n0N5NoNNDr9KIrqxVMUVdlbePyxvIVElJbyBjcr603YTluCZfFlfL6nHqW5idMNTkoajzL5y484vvxp9E/IcMZJMHMmzJql/o0ZE3XszkKx15L/DK53xmzSM3lcJgeOOmn3qCGaU8ZlYjYda4Y+ECt4rLlg1Guobwmg61SavfN3BAMhMr/8jKVfrSXb3craWWfzzzOuITPXTo5Rh0GnRaeTcLh8CXsGHC4fGVY9jU1qaFm23YRBp8XtC2KLE+YpEteHJyNFRsYymGXZDLS6/ARDfuxWA4W5FrRaTaTKYk/0VeGJV+o9XphhX0jFupcKxTGWR7Wqvi3qPV5vkOL8ngs/Qfxr0dPY73l6C9l2ExrpWBisrMjd8ph7YqDrWbxxJ5L/OXV8FrsONbHjQCOzJ+di0GkTUry7npNEQjDD16vz92fajN0UsIF6k9LREJiO0SediRcCPtKIq+B5PB4effRR9uzZw4QJE/jJT35Cc3Mz9957L3//+9/5xje+MQjDFAh6Jlkb4njhDmHrjyzrCYXkSKNeSaNlbJ6FmkZ3xHO38PhC/rtTjkl+toV9Fc0x8xjC3/vxzhr0Wg2TijPRSGqlMV12Dp8a8vGddAqgVtVsr6jmuuk62LUL/vUvuPNO0OtVRW/KFJgyhTPsBbxSr/ali1Xyf6gWXL1WQ4vTx7h8G3qdhkBQpsXpI8NiiFj99FoNTQ4vhfTdCt51LhypcbC3ohWACUUZESG65NQJ1Lb7KP7iY777rxeQAwE+mHMu+6Z/DW9IIhiS8flDzJueT2Wdi1aXjyybMe55C28IHlu5g1aXD1lWyM82Yzbo8AdCWE3HwjxjWW+L8zOoa3Kz90gLWTYjJQU2sjNMwzaPYzQw0mRkrI3j5JIsAkGZbHvfes31R+HprdS7MH7A+AIbaz89isWoxWzS0e7x09DqiatsJxpy1/Xa9CdstjP52RaqGtpodvgiHsecTCPFY3pXSBMd98mzCrqto13zP23A7El5HKpysK+ilVNmF/VL8S4psNHY6kkoBDOeAtYfb1LnPcqhKgfTxmdFvT7U90I6Kp2diTWXW51egiF4cMW2tPM4DpS4Ct6dd97Jrl27WLhwIRs2bGDfvn0cOnSIyy+/nLvuuoucnL4n2goEySQZeQ+JWJ7C1h+NRqLR4YWQjFYr0e7xs2B2Ebd8/+QeFwaTXhMzj6Ekzxr5XkVRUFDYc6SFGROysZr0+AJB2r2BqN+VMaEYFs2ARYvUJxUFampg9244cADWrGHcgQP8uKKKvYqNOlse2O0YC8cgucbSZM1h+7p2Sq8+HbTafpzxASCpww3/H8AfkCmvVtsyhD0GnRPXe9sUdlXK9VoNbk8gMhf2H3Wg0UiYDDo0kkbdXDTX4H3uI66r/ZTaoJ5nTjif8klzUCQNIGHSgd8fxB+UybQZ0Ws1CYX8dh5LSb4Ns1GHw6hDURT8gRD+oMyk4kzcngAeb6Cb9fbx13dSmGMlL8tEm9tPu8fP7vImJhTZ0Wo0aZ24PpoZaTKyJyWqsdXTZy8ZJNdTlu5V+wbDg1FR52L6hKxjCpPZwLhCIxV1rrif7c+1iBc2G48eFdLZvSukiYy7vNrBll11lI61R4qebNlVR3F+Rrd5nG03MS/D2Kd5HK9NQm+yKZ4xoq/epK5jOVrbxs6DTcyZktensNNUku4GmK5zudXppanNz+xJOWnpcRwocRW8jRs38vrrr5Obm8s111zDWWedxbPPPhspAy0QDDXJyHtIxPLU2fqTlwnO9gAenypgaxuc/PS+dSioesuJ03L57XULI8ffurs+Zh7DRzvrOGV2oWplNBvUsuE6icp6FyX5NnYeasRi1CMrSs+/S5Jg7Fj1b/HiyNMmr5ftD79Nsb8Vg7sdY1sr5kN7KWqsQ1dbDX8NqaGdxcXqZ3NzIStL/cvMPPb/rCywWNTvGSCBoMzsyblUdcofsZnVvJ7O575z4npPxNpMNTm8KCiRRrRKawuTW6qY6m9mfP1hio/uI6DTczB/EtY//pbJJ56I/2+byOpi1Wt2eggElbhCPNZYdFqJQ1UOGh0eLCYdXl+IHLuJwjwzh6ocON1+vP4QFoMmynrb3OajtrmdE6aNwWLSR8Jqmx2+PlXgFAwuI01GprMSle5V+wbDg1Hf4qYozxblAYvVLzVZxAubjUdFnYvp47NodnZSSAsSU0jj0dv5TsY8jnX8QuLLJoh/H/XVM9p1LJOKM9l5qJFDlQ7mzUisImmqSee1A7rP5WAIZk/KiVSETTeP40CJq+C53W5yc9XGy4WFhVgslmEruAQjk2TkPfRkeTpUdSxhONNmoLpRFUpmkw5bR9VMsx52Vzgjn1OAz/Y18dtHP4woeU1OT8w8hvJqZ6TYR0mBjT2Hm1WPkTeAXqehMNdKXpY5YUWjM+XNPvaYCvg4mEVWoZGSE9Rwv/ACXHr2JKit5f+3d+/xUdV3/vhfc87MmUsmk0wSciEREkDurEFBRSzeC0JoxYdSQezStVtaXd3q2i3YbvfbbrcWe9HWZeu6tdLvt6jl4YoW8IcXQKuAAlW6IDeRBAi5kWRymcz9nPP7YzKTTDKTmWQmc8vr+XjwIJmTmfnMycnnc97nvD/vDxoa/P9str47gR0d/nX7Ojr8/zwef9BXWAiUlvb9Kynp+3/cuKh3BAMDwJwpfRXY3j9yEXk5UsjPxXLVL2TAUxToWpthOf45zI3ncXlbHcobz2JejxOXisphL5+Iusl/g/033oUmyYIco4TlV10FIPwValkB/m75zJhPYgJt8coKTp2zQdKKKMwzQAMNSgtzIOkEnO1dkPmKy4vw/icXoSoijAZ/ui6A3jt9/oXZrRYDrBYDFNUfZGbDYJOtsm2MjDWISsVSHuletS8ZdzCGSveP5tU9p7FjXx3sTg/MRgk1CytjKpRysrYtuLZoR7cHJ2vbYu4bW2wOlI0zh8wRTFRAOtT+/vKiyXFfDIjn9xnt72i4d0bD3ZGcOakQn53vGNH5wWhI9wswQGgK+NMvf5zWdxzjFTXAk2UZH374IdRgXhUGfR9Y+4coVeJNAwp35amx1Y7m9h4UW/tSB8sKc+Dy+GDrdgevZD75//4CoO8GV+BP4y+n2/DimyexYE5ZxKt1ZqMUTCm05howvbIAZ+s7oYEKs0nCV0fYYQfuKBVY9JHT/SQJmDDB/y8aj8cf6LW2As3N/sCwudkfDAa+bm8HCgoiB4AWC64vUvGH/+8Mjrc7YFcFKOZcqJKESeMtIW/n6HGjNEf0v2ZHhz/4bG/3/9/RAbS3Y+r+k8jzOqC3d0LX0gSbRo9OazGaLMU4Paka26/6EgwTK3ChxY68HCniIBrvFWqgb/D99PO24HphqqrC4fahrDAHtQ1dmD+jJHh85RgluDw+dPX0BXgajQaSbnjreVHqZdsYGUsQFW8qYjzBYTov2ZGMOxiR0v2jLVvw6p7TePHt05C0gj+zwOPDi2+fBoAhg7zfbvsrtu+rgyhooNNq4PPJ2L6vDgDw9RVXRG1vvHPwor12pP09nIsBkY7HeH6f0d5/uONOuLbotSKunV02otTp0ZDuF2AGSvc7jvGKGuAVFhbi8ccfD36fn58f8r1Go8Hu3btHp3VEo2hgKfCBhT3ON9kxoSQ3JD1jUnneoPSMjb0BHtBvflmvwInP/BnFeOPAOQy8WlezsBJ1Tf6KaCajDjpRQHmxedg54AMHKFu3K3h3KyHpfpIEFBf7/82cGf5nfD7g0qW+gK+pCairAz780P+13Y6cLhdub+qGCkDn88DodkDRaIAcM3J0GuhUGfB44PP4oNFLOK/TA1Yr8ieWwTK+2B9AWq3ApEnoUsfhvNYEcVwRDtsEODT+k5bOHg9KrCaoqgqnWw4blA8cRIcq7DDUfh54ItDj8sJk8HerXp8SLKrS1uXErMmFwdeZOiEfn5xqgdPthaIqcLp8EAUNSgtykraG0nCk08Lr6SabxsiBv+cvL5oc9vccTypiulfai0cy7mBESvePtmzBjn11kLQCDJK/fzJIAgAfduyrG/J5bx2q7w3u/NkZghaAT8Zbh+pjCvASMQcvUv+TiP091PEY7+tHuxhRXpyLOVOKgp9rqEqomXB3DEjvCzADZco+HamoAd6ePXuS0Q6ipAo3eXpgYY9iqxFl48whzwt3+z6wDl44gRMfl1fB2mUzwl6tGzh4DfeKV7gB6sjpS7jicv8V3USk+8V0gq/VAmVl/n8R/HzTB6F3MlUV7u4eGH1uVM8oRbPdB1Ev4VyrE15ZhccnQ9KKyDPrcd/SGaEV3/p97o7WVui0Kjp7PMjL0fvvoEGFw+VDaZEJ7Z1uVPYGYtHKiQ+1D6KdCOhEAR6PDI1GE1JUpdBiDCn+MqHUApfHh/NN9n6B51SUF+eG7OeZVQUjWug+kbL5hDwRsmWMHM7vOZ7UtXSvtBePZNzBiJTuH63Uu93pCV58CpB0AuxOz5DP83hl6LSh869FUQOPV46pvfHOwYt2XEba37Eez0Mdj6sXTx+13+dw+9VMuzuWCbJ9n8a8Dh5RNgnXqQ8s7PHimydjun1/5dRC/OV026C7d2UF/hOgwInP6sXTw94liveKV7jPYjFJqL3YhYJ+E7ZHmnqQyBP8QZXDNBrock241C3i7ruuAQBseuUIOno6kWPQIceog9eroKHVjjf21+LBu6qDT+3fOWs0GmiggdmoQ67Jn/Lo9SoQBA3ONXZBUYBZkwtjbnu4gDaWE4E39tfiyOlLsJgkTJ2YD53WX4Fz2cJKHDzeDKDvSqElR49/uX/WoHYEvu+/30VRg7+caMbev1xA9dRxWHpdVdIGoWw+Iac+w/k9x5PalC6V9uJZZHooo30HY6TLFph708L9d+78PF4F5n6vE46kE+Hzyf47d71kWYWki60Cc7xz8KIdl5H2d6zHc7TjcbR+nyPpVzPp7limyOZ9KkT/EaLs02JzBIubBAw8yVgwpwx2pxd2hweKqsLu8MDu9A5ab+j/rLseV00tRP9rnGUFRtw4zz+3bbRzusN9lspyC7ocnqhtB/yBxItvnsTTL3+MF988idqGzpDt/QciQaPprfjpX6x7uAotRjhdvpDHBp6cnDpng0mvhaQToYEGkk6ESa/FqXO2Qa9XNT4PqxdPxyOrrkR5sRk5Bh08Prl3WQIZUAFBo0GeWY/ObjdqG7pw5kIHntt2dNDn7L8/tr17BnaHJySgPXuxM+oxY801YGKpBZJOREeXG2aThBU3TsH11RVYceMUmE0SWjucMJskXD2zBAeONkbd716fgtPnOgAAuUYdztb72xep/YkW6W8lUIAoUvspcV5//XUsX74cM2fOxB/+8IdReY9Y+sSAWPvGcIqtJjic3pDHkj3vJbDIdI/TA4Mk4kJLN371xyN44vcfpf1xvGxhJRxuGT1ODxRVQY/TA4dbxrKFlUM+r2ZhJTw+BS6PD4rq/9/jU1AT5XlfnF8BWVHh9clQVAVenwxZUfHF+aHBcKRxJN7f93COy5E8L1XH40g/11CijeU0tjDAozEplk49cIeo/0l5pDs/FcW5MOi1wQXF9Xpx2Cc+ifwseq2I6svHRW17pGCm/8AQ70DUf9Cx5OjQ1eOJfnIycEWGKCs0BH5Xk8rz0O3w74tpE61we2UoKmDJ0eHkORs8Xhm5OTp02N0hn7N/G5/bdhSyrAwKaHuc3ojHTP/9WDnegqrxFuQYdSEplYFg9Nv3XIkFc8pw8HhzTPu9vsUOSStA0omQJBFeWRlxgD0S4Y6vQAGiodpPiTNjxgw89dRTqKmpGbX3GM6J7nD6xoHiCQ4TJbDItCAIaO9yQxQ00OtEnKyzpf1xfH11BdYum4EcowRbtxs5Rglrl82IevfxzpunYvVtU2GQtHC4fDBIWqy+bWrUKppfX3EFli+shFYrwutTodWKWL6wMmT+3VDjSLy/75EGYLE+L1XHY6IDy1jGchpbmKJJY1Ksk2tjuX3fv8qYpBPg9Smoa7TDJ9fjC9WXjXpOd6TPEssJVyxpIvGkYw2e66hFSYEbbp8SsejJtAlWHDvbCg000Gn9+7PT7kauSY+nX/444ly0qvF5ePDu6pD0ynyzHgUWPdq73MEgyeOVkW/WhwRJ/dt46pwN3Q4PTAYdrBb/ArIen4z2LidaO52wmCRUlVsgacXgMTPcdJvh7PcelxcmfW/hFq+/cIvbJ+PYseEVPRlpoZRwx1e4AkRDfV6Kz9Sp/pNwQRi9a7LDLTgw0tSmdJj3EkgVv2RzQRQ0EAUBgkaBy9N38SSdj+PhFOfo786bowd04RTkGWE26mCHCrNRh4I8f8ZFoE/58FgjdKKASeV5wYtiQGLmsY20EMZwxvhUHI+JLvARbkzptLvx3LajKCk0sTjWGMQAj8akRHbqA6uM6XUCvD4ZbZ2epJQvjuezxDIfJp6BKNygM7kif8iFYpcurEJrpxNddg963D4osgKfrKK8OCfmyegD57F12t3IzdEFUzcnVeQFP+fANuab9ehxelDfYofVYoCt24Vjn7fBbJRQWW5B3cUu/PWzVlRPHRdsw+t//nxY84qGs991ogCPT4YGGnh8MoqsBhw/2waTPvY5kfHMowx3fMVagIgyRzJPdFM97yUwj83rk6HT+oNmr6zCqNem/XGc7KJHkZZXaO90osvpg9mog6qqUKHi5Dkbpk+0wmoxJCTdMHAsur0+nG/qhsPtDc6XjGW5g6tnluB8sz3q8ZyK4zHRf28DxxRblwvnmrohK+qw5p9T9mCAR2NWojr1eKuMJcJIP0ssd+dGO4AM91m+unRm8P2a2xyoHG8JrpvU/+pw4P9Id6UCbX9u21F02N3IN+sxqSIvuOB7sdU0qI0VJWYcOdWCtk4X7C4vuuxuaEUNJpUXwWoxoNBi7FssfoR3OaP9fOBExeHyQVZU2LpdKMozYtpEK2ovdkFVgUkVg6+WR/qdxFsoZeDxFWsBIorNihUr0NDQEHbb/v37IYqxFbSIV6oDr2QJLDKtAvDJChTV//+sSQVpfxwnu+hRpOUV3jpUj1vnX9abwi7B45UhaTXBC2MD09eHE5AOLDB1vqkbqgr8zZQiSFoRB483o7w4N+T54d7n4PHmtA5oLrZ04+iZVrR1OdHc5sCEEvOI2zpwTKlvsUPQALlmfczjBGUXBnhEcYq3ylh/yV5vLJGpquHEEvhE+syB93v65Y+DAZit24X6ZjvsTg+8PgVnLnSgtNAU9cShosSM1k4nPF45ZJ5FIL0ypI0qoKiAVhQAVYXXp0AvhZ+DGGj75/UdaLE5MaHUjLIic9S7nEPt9/4nKpXjLSi2GtHU5kBhngFeWYFXVjB7ciGsuYZB7Ykk0ZULs339oGTbtm1bqpswpgRSwl/ZcwYNrXYY9VrMrCr0X7xJ8+M42VVIIy2v4HB5gnOzK0rMOFnXDp0owO7yDupfhxuQ9n9O7ZlWCIIAu8ODj441oaI4FwV5+kHPD5ui2JO+KYqBQj8mvQhrrj9rZPPOEwAQczXXkLV8tQJaO5wog/946LS7IQj+301Aut+dpsRikRWiOMVaZSyaVEySjqdYQizCTWBvbOuBrduFp1/+GJteOYL/+8bxIT9zYDK6rduFk3XtvXdMBTjdPjS02uGVlYjVPQP7VCcKwXUB//ezVnh9SvBzDmzj2Yud0GkFXD27FAvmjMfEUgsMOhH1LX3rNjmcXuhEIfj7qirPw4QSM843daOuoSvqfhxqv4erWlpaaILVYsC377kS184ug6QNvXgQ7a5Doif0j/ZxQzTarq+uwNOP3oiN//AFLL62EiaDlBHHcbKrPvrvzikhj3m8CiSdGGyHNdeA6ZUFvcvVIGQ/jqRIV//n2Lpd6Oh2Aap/vVmPV8a5xi6cvdgZ8TmB551r7EKn3Z3UoiOxVrIMFPrJMUoQNAJyjBJMehE799XF/D79zxd0ogANNPD6/Gv55pn1mFhmCbkQmO53p1MhmyuP8g4eUZwC1cTeOlTvT1PRiVg6vyKkyhgQfd2lVK03NpppWQPTO3WiAKfLh7P1nfD4ZHTZPdBqBRTlGUPSSN7YVwurxRB8TlunC512N3Ri73wZnwqDJEKWFfz544sQBMCo1+Hyy/LgcPctwzBwnxaESa8c2MaBd8gqSsw4UduGTrsbiqoG71bpJTHktcuLc5Fn1g85v7C/SOk50a7Qj+Tu2WjccRsr6XzpYMeOHXjyySfR1dWF3bt347nnnsPvfvc7TJkyJdVNy3iZdhwn++55zcJKvPj2aQA+SDoBHq8Cj0/BkqsvQ1dvgGcy6nDJ5kCzzQGtqMHRM63B/mwkRbr6P8fjVaDRaAANIIkiJJ0Ir09GT+97B+5inb3YiQtN3ZhUngerxYD6ZjsEjQa5Zv+FMq+s4GKLHU+99DGunV02KnfzhpOOOmhNWABGgzbqgvUB4c4XStG3lm//ADDScZLsjKF0k+z5rMnGAI8oAb6+4opBAV1/saRjpMsCwKPpswsd6HZ4kG/WI8eoQ3unC16fjM/qO3D1zFIAgNsn438/a8X8GSW9lTe9UKHC7vRCkkSYDVpMKs/Dp2fb0NxuhyBokGfUw+uT8cmpS7hyenHw/WLdp/1P8gLzywKsuQZMLLOgvdON1g5ncA7i63/+HHlmfdTXDmeo4yHaCdFI5kSmQ+VCGrmamppRXSKBMkey/5YDVTd37KuD3emB2SjhrpsqcefNU4MBwrHPW3H2YifycnTItxhC+rN4L0hpRcDlUaEoKvLz9b1p9oDJoEVtQyf+3xsn0Gl3w+3xodXhRYfdjepp49Bh9y9/UVFshq3bhb+eboHb4w9O/3KiGZ9dsOGrS2cmdL8N5yLtSBesD4hlgfahjpNsD25ikaqL6snCAI8oCfqnYwDo/d+DnfvqggHeUCf2I7nSlg5X5wYOIoc+bYaiKsjNkSBBA72khcfrQ1uHK/icuotdsJikkE63DIDLLaNqvCX4eLfDA43GX+I8sKC5IGrQ1NYTfK1iqwkXL3WjvdONHpcXOQYdCvL0wYIt4YQ7IXG6ZFQUm+GV+1KV4lk+Yqjj4Rsr5kQ9IRrJXYdMu1NBRIkVLYskkkjLKwT6lA2bPkCx1Ri2P3viwevjuiBl0OugqIDbq6DF5oRRr8VlxTmYXJGPN/bXoqHVjpzeJW20WgG2LjeOnWlDgcWAAoseVosBBz9thN3pgyBoYJD86e1NbT14Y18tHry7ekT7MpzhXKQNFPoBPDAatHC6fHC4Zay8tTKm94q1QNpoFd7KBtl+UZ1z8IiSoK3LCeOAieoD0zEiLbg6ocQ87Ll5iZ7PN9I89YHzyQLLeDVe6kF9Szd8sgyvT4GsKMHP3OXwoKrcEvI6JqMOOUZdyP7xeGXodSIMehE+WYUoCii2GkNSNCeUmHHqXAd6nB4Y9SJ6nB6cOteBCSWhJf77Gzi/zCsrUKFCpxVC9uWEEvOIF8gd6njg/DYiimSkfXsga6DH6QnJGvjgSH1M7zlU/x9tfKsan4fVi6fj2/dcidWLp8dcuXf14ulYecvlADSwmiVMKDXDbNTiYqujt2+3waTXQtKJ0EADi0mP0gIT9JKIb6yYA1H0F2dp7XRBEPyVrvPMekg6EUa9FqfO26K2YziGMz9ypAvWB8S7QPtI5kZmm2TPZ0023sEjSoJY0jEipVTEW4Us1udEEk8qx8ArZGaTDk2tDmg0gMkgwiurkBUVBXlSMP2xeuq44Fy7AIfTi0nl/oIogf2TY5SgE4GCvL7OuMfpCdmn55vtmDYhH+1dvXfwjBIuK9HjfLMdQxmYsqkThUH78nyzPaYr0+HupEY7Hni3jYjCGWnfHksWSTix9P/R+rN4sknON9tRPs6EC809uNTh8t/BK8np68M1A57Q+33/8VSWVei0GhRYjDDqe0971ZjefliGm456fXVFzAHdQPGm6saTgZItsr0aNAM8oiSINR0j3In9cBfRBhKbehBPsDhwENHrRGh71wz0ySpEQYM8s4TZk4qCqTKBE4pAm/t3uv33T/8r0pH2aYvNgbJxZpQX96VkKqo6aD8MdQIy1L6MFohFOjmaP6MYbxw4h5Gm5xDR2DTSvn2kRT1i6f+HGt/inev1eX0HmtockGUFogDIsoKmNge0oohpE6w4drYVGmig0wrw+hQ43T7MnuSvmBzon23dLvzlZDNs3S60dvrHHVHU4KrpJVHffziSPT8ynguB2R7cxCLb56anRYD3+uuv47e//S0+//xzPP7441izZk2qm0SUUIGrdP3nP6y8dfD8h3CBRrxVyGJ9TiTxBIsDBxG3V+ktsCJBUVXkGHQYX5wTMrct1k43ln0ayxy8aCcg8ezLSCdHLq+CtctmRD0eiIj6G2l/NNKiHrH0/0P1xS++eTKubJK2Lhc67R7oJX8FTVlR0Wn3wGhwYc3tM9Da6USX3YMetw+SKKC0MAdLF1aFvMYVU4pw6NMmyIoKVVUhK/4bfVdMKYr6/sOVKdkX2R7cxCpTfl8jkRYB3owZM/DUU0/hueeeS3VTiEZNtHSMSIHG1TNLcPB4M4DUlMWPJ8AZOIjkm/WQtBp4fCp6XP7cd5fLF3KHLfC8WDrdaPt0QokZew5fgEkvwmjQosfpwaUOJxbM7punEO0KdTz7cqiTo9WLpzOgI6JhGWl/NNKiHrH2/5H64habA6KoQe2Z1uBFtvHFOXDEmE3icvugGZCGqdH4H68an4evLp0ZNf3zfLMdsyYV9qXqG3QosERP1c922RzcUJoEeFOn+qszCQJrvtDYFSnQiHWuV3+JvDoXb7AYLq1yUMAV48TwgX677a8h6w9+ccD6g7HMwRsqCAvcUe1xenHJ5kSOUYdJ5Xkx70vOcyCiRBpp3x5rFslA8fb/OlHAsbOtMOl1MOm18HhlHD/bFkyjjEbSibBaDHC5ZXh9MnRaEVaLDtreedqxBCktNgcMBi3Q5Q4+ZjBox1RBERp70iLAI8p0iViSIJ65XuEk6upcIoPF8812TJuY35cyaZRwWengK6mv7jkdsu5SzcLKQWW6f7vtr9i+rw6ioIFOq4HPJ2P7vjoAfYvPxzIHL1IQphOF4B1Vq0WPjm43WjsHz2MZCuc5EFGijbRvH0lRj7j7fw2gqn1fA73fDyyOEkFgnp01Vx+cZ+dwezFtghVAbEs/xBtkUuKkw/JNY0VSArwVK1agoaEh7Lb9+/dDFMVkNINoVCRqwdCxcLenxeZAWZE5ZA7cwIDr1T2n8eLbpyFpBZgMWrg8Prz49mkACAny3jpU3xvc+fsPQQvAJ+OtQ/XBAC+WfbpgThn+7xvH0XXOBo+sQBIFWMwSivKNMBt18MoKTp2zQdKKkLQCDh5vwpHPLqH68nFYurCKC4wTUVa72NKNo2da0dblRHObf4mCWPswr0/B7MmFuNjSE0yPrCq3wOtToj8ZwNKFVRHn2fXPCOm/9AOA0CAvziAzUcZ6cMPF1ZMrKQHetm3bkvE2RCmRqCUJ0vVuTyI75WKrCafPt+N8kx1OtxdGvQ4TSs2YOqEg+DM79tVB0gowSP7uySAJAHzYsa8uJMDzeGXotKEjtChq4Pb48OKbJ9Fic0AnCmjrdKEUkffpxZZuNFzqQbfDA0ED5JkNyIMG7Z0uVJXn4dPP2yBpRciqig67G1A1KMzT4ezFzpj2A+c5EFGmijmIiiBwkW1Ov4ImdocHBRZpiGf1GWqe3XPbjsa09EO8QWYiMLjh4urJxklvRHFK1IKh6brA9cDFys0mCWajDgeONg77tQw6AcfOtsPl8UEviXB5fDh2th0GXV9XZHd6IOlCuyZJJ8Du9Ax4TIQshy5m5PX5y6MFFgHWaQWoUOGVlbD7tLahE3985zQAFQZJhKICnT1uKKoCh8sHh9OLHpcXOp2ALrsHsuJ/rUs2J1ps/tLdI9kPRESZoP/6eYJGQI5RgkkvYmdvOnw08S7IPZRoC6wHFFtNkLQi5kwpwrWzyzBnShEkrZjU7JhEjqOZiourJ1dazMHbsWMHnnzySXR1dWH37t147rnn8Lvf/Q5TpkxJddOIokpkamU63u1J5Jp6h060oDBXglf2B2MGSYtco//xwN05s1GCy+PrvXPn5/EqMBtDr/h+cX6Ff86dT4YoaiDL/vLXlWXmkCuEZb3/r148fVB7DhxthNPtg9Ptg1YUYJBEeH0KTtS1w2yQ0NrphMcrw+eTYXd64PMpMBq00GgADTQ419QNl0ce9n4gIsoEI10/LyDeNPWh7nzFuvRDOmTHJHIczVTpOA0lm9Nm0yLAq6mpQU1NTaqbQTQi6TB4jKZEdsptXU5YLQYImr7gTVGVkJOFmoWVvXPufJB0AjxeBR6fgrtuqgx5rcA8u0AVTVHQINckAhoBR8+0oqLYDKvFALdPxrFjkRcxVxQVGo0GYrCKrwqXW4aieFBg0cMnq2i2OaGqCvQ6LbSiAFlRUZRngKL47/QNR6oGlGweyIhodIx0/bz+4rlwOVRaX6xLP1SNz8PVM0sGFWNJZv+XjsFNsqXbuVK2p80yRZMoTumaWpkoiUyxKbQY4RwQEA08Wbjz5qlYfdtUGCQtHC4fDJIWq2+bOqiKJgAU5PkLoYiCf20kSSdAJ2jg8co4ec6Gc42dOH62DTpRCOnAaxs6AfgHXU3vIkuyrEBVVfS4ZKgqIAgaWC0GlBaYkG/WQ6vVQoE/JbQwzwBR0PgXax+QcjKUwIASSCEd2J7Rkqr3JaLMtmxhJRxuGT1ODxRVQY/TA4dbxrKFlUl5/6HS+q6vrsDaZTOQY5Rg63Yjxyhh7bIZg+YG1jZ04uDxZlSNt2DR3ApUjbfg4PHmpPZ/o5mqminS7Vwp29Nm0+IOHlGmS8fUykRJZCXIWK+43nlz+ICuv/7VNkVRA59Pha3bA1n2B246rQYnz9lg1GsxqSIv2IEDoYuYHzjaCEWW0eP2wefzz7GTRCDHoIMGGkg6EXk5EjxeBZMrLDjfZEdLuyNYIGZSeez7IVWTzDm5nYhGYqTr5yVKIu58pUP/x4rKful0rpTtabMM8IiyVCzrA8UqUZ1yIk8W+lfb7HIo0IoaaBQVTo9/0XO70wOPV8H8mYWw5hqCz+vfgVeNz8NNV5Zj657PIGo0yDFr0dHtv8Kq7zcHEBpAp9WgvqUHZqMW46wGOF0+1Lf04Nb5E2Juc6oGlGwfyIho9JQX52LOlKJgYNJ/XdHRNlRaX6wVPtOl/0un4IayP22WAR5RFuo/8BkkERdauvGrPx7B+3+9iHtum57SQSZRJwt2pwem3gpqgkYDVVUhihp4fQrmTCmC3eFBbUMXJG3oOpsDO3CXV8FV04uDi6/7ZBVurwyH04e8HBVenwKn2wdLjoTycWa0d/VbpL1k8CLtQ4k2oIzWPLlsH8iIaHSkep7SUHe+Yl0mIVv6P86jTqx0mxOYaJyDR5SFAqWtBUFAe5cboqCBXifiZJ0tpXOvEjkXzGz0p00CgF4nQFVV+HwKABVvHqjDO4fOo6Pbhc/rO4ec99Bic8Drk9Hc7sAlmxPQaKATNfDJCnrc/vmCpYU5KMo3wTCgJLfBoB3WVeCh5mGM5jy5ZM7/+OBIPTZs+gDfeOJtbNj0AT44Up/w9yCi5EiHeUpV4/OwevF0fPueK7F6cd8FyliXSciG+W+cR5146TYnMNEY4BFlocDA19XjgSj4K0TqtJre5QZSN4k4kScLNQsr4fEpcHl8EEUNBEEDn6IC8Bc/KS00QacV0NTeg7YuZ8QO3On24sjpVnh8MgySP1B0+xRYciRMLs/DVTNK8NWlM2HN1eP42TZ4vDJMei08XjlYwCVWQw0oo3kilayBLHDnuMfpCUmZYpBHlJnSee2yWIp2AdlxIp8OgXY2inTxIBswRZMoCwVKW3t9MnRafwDilVUY9dqUDs6JnAsRKMKyY18d7E4PzEYJuSYVOQZdSElvt1fGZ+c78TeXF4V9neY2JwSNBqKg6V0uAdAKAvSSFt++58q+H9QAqtr3NdD7vWZ47Y40D2O054kkY/5H/0WRgcgpU0SUGdI5vTHWol1A5s9/S5d5hOSXCemyvINHlIUCpa1VAD5ZgccnwycruHxCXkoH52KrCQ6nN+SxeNozd3oJbr16Aq77m/G49eoJUBSEpOw43T7YHV70uLwR01ocbi+KC4wQBQFenwJREGAyiLjQ3B2SZuj1KZg9uRCSToTD5YOkEzF7ciG8PmVkO2OARO+bVIg1ZYqIMkM6pzfGukxCNsiG8SFbZEq6LO/gEWWhwAD3yp4zaGi1w6jXYmZVIQotxpROIk7kpOZwk/+9soKObjcKelN0uno8UOFf8iDcMglA393OkgL/QNlhd6Gx1QmtKISkGU6pyEOBxYA5U/ruBNodHhRYJCRCNkz4TsSiyESUPtK9vP/11RVZGdANlA3jQ7ZIh2U3YsEAjyhLBQa+/qkEZpOU0sE51pOFWJZ4CNfJTi634NT5Duh1Ym/KjhcqVFw+oe/1B6a1DEzzabE5AWgwLt8IQSME0wyb2nog6cTgayR6gE33E6lYDCdliogyQ6anN2aDbBgfskWmpMsywCPKcuk2OEdrTzxrG10+oaC3sqamN11Qh8I8CV12Lz481ogcgw4FFn3I0gwD1+ZTVaCkwID8fmvnGQ1a2LrduHpmyaDAM5H7Nt1+V8OV6kWRs9UPf/hDHDhwAJIkwWQy4Xvf+x7mzJmT6mYRZYxMmDMVTaaPD9kineel9scAj4iSKtpAG2uhjkid7Jwp47B68XQA/YNFBUaDFj1ODy51OAfNH+mf5rNh0wfocXpCtjtdPpj0Ohw83oyq8RbMmlwIh9OLg8ebUV6cm7BBNxtOQsZKylQyLVq0CI8//jh0Oh327t2LRx55BO+8806qm0WUEVK9ll+iZMP4kA0yJV2WRVaIKGlimZycyLWNzjfbMW1iPnKMEpxuGTlGCdMm5g9anLy2oRMvvnkST7/8MSxmHTp7POhxeqCoCnqcHjjcMkoKjaNapjpTJm5T8t10003Q6fyl6qurq9HU1ARFSUxxH6Jslw1LDGTL+NB/rH3xzZMZ134gc5bd4B08IkqaWCYnx1qoI5Y5CS02B8qKzCgf15eSqahqSK78wKu7DqcWpQUeuL0ybN3uYJrh4ZMto7oeVKZM3KbU2rJlC2688UYIQvjrs6+88gry8/OD38+aNQvz58+H1+vFli1bBv18dXU1qqur4XA4sHXr1kHb582bh9mzZ6OzsxPbtm0btH3BggWYNm0aWltbsWPHjkHbFy1ahEmTJqGpqQm7du0atP2WW27BZZddhgsXLmD37t2Dti9ZsgSlpaU4e/Ys/vznPw/aXlNTg6KiIpw6dQoHDhwYtH3FihXIy8vDsWPHcPjw4UHbV65cCZPJhCNHjuDIkSODtt97773Q6XQ4dOgQPv3000Hb165dCwDYv38/Tp8+HbJNp9Ph3nvvBQC89957qK2tDdluMpmwcuVKAMA777yD+vrQ9SItFgvuvPNOAMCuXbvQ1NQUsr2wsBDLly8HAGzfvh1tbW0h20tLS7FkyRIAwKuvvoqurq6Q7RUVFbj11lsBAFu3boXDEdqXVVVV4YYbbgDgP+683tAqjlOnTsV1110HANi8eTMGSpdjr7GxEb72E+jot00F0GWdCmB6Rhx7e98/BFlR4RM0wc+RX3U9DhxtRGPdpxlx7Lk8PrR2OP2Vqi1FsOtnYNu7Z2D1noRGDT22MuHYW714evDYe68ReK/f9mT1e0NhgEdESRPL5ORErm0US658uMDKaBBxqcMJrVYzrNeKR6ZM3KbEW7FiBRoaGsJu279/P0TRX9xn586d2L59e9gTFiIKr8BiQFOrClHo688VRUVRv3nW6c7jU4Jr2gYExofK3AhPSjNddg9EQQiuORsYS9vaXCjKFVPcuuyjUdXg0r1pr76+Hrfccgt2796NigrO8SDKNC++eXJQkBT4PjBvDoitimYsP9f/7lz/XPn+6RRPv/wxivKNEDT+wf98Uxc+OdUCQdBgQmluMMBcumAi6pq6h3ytZOwbGpvefvttbNy4EZs3bw47/nF8JAovlnEg3WXD+DBwrAX8GTWtHU58+54rU9iy7MQ5eESUNLEumnt9dQWeePB6PLfhNjzx4PURg7vNO0+gx+kJqbb5wZG+VJNYcuUHLiB7+nwHRFGAUa8LLpNg0os4dKJlVPPu03lBYUqtvXv34oknnsDzzz/P4I1omDJlztRQsmF84GLtycUUTSJKmkSu5RNrtc1oaZwDK2L1OD3QaUVYcvrm2wWKvIxmmep0WueI1drSy4YNG6DT6fDwww8HH9u8eTOsVmsKW0WUOTJ9iYF0Gh9GKlOqT2YLBnhElFSJGmjbupyw5upDHgtXbTOW9vQfOHOMEnQiYNT3BXjhiryMhnQ4CcmWkuLZ5MMPP0x1E4goxdJhfIhHNgSpmYQBHhFlpFirbcai/8DZP/UzWpGXbMRqnkRENBoyPUjNJAzwiCgjDafa5nAE0jv7F29Zeau/eMtYSF1kNU8iopEZC2MEZQYGeESUkYYKxBLx2gNfZ6ykLo72chBERNlorIwRlBlYRZOIMlZ5cS7mTCnCzKpCzJlShPLi0VsQqH/qotC7ho/ZqMOBo42j9p6pkA3V2oiIkm2sjBGUGRjgEVFGClwttTs8IVdLaxs6R+X9WmwOmIy6kMeyMXUxG0qKExEl21gZIygzMEWTiDJSsouBjKXURU6EJyIanrE0RlD64x08IspIyb5aytRFIiKKhGMEpRPewSOijJTsq6UjXcOHVdWIiLIf13mjdJIWAd4Pf/hDHDhwAJIkwWQy4Xvf+x7mzJmT6mYRURpbMKcM2949A8B/587h9MLu9OK2ayaO2nsON3WRVdWIiMYOprdTukiLFM1FixZh+/bt+NOf/oR169bhkUceSXWTiCjNZUIxEFZVIyIiomRLizt4N910U/Dr6upqNDU1QVEUCEL4+POVV15Bfn5+8PtZs2Zh/vz58Hq92LJly6Cfr66uRnV1NRwOB7Zu3Tpo+7x58zB79mx0dnZi27Ztg7YvWLAA06ZNQ2trK3bs2DFo+6JFizBp0iQ0NTVh165dg7bfcsstuOyyy3DhwgXs3r170PYlS5agtLQUZ8+exZ///OdB22tqalBUVIRTp07hwIEDg7avWLECeXl5OHbsGA4fPjxo+8qVK2EymXDkyBEcOXJk0PZ7770XOp0Ohw4dwqeffjpo+9q1awEA+/fvx+nTp0O26XQ63HvvvQCA9957D7W1tSHbTSYTVq5cCQB45513UF9fH7LdYrHgzjvvBADs2rULTU1NIdsLCwuxfPlyAMD27dvR1tYWsr20tBRLliwBALz66qvo6uoK2V5RUYFbb70VALB161Y4HKHzs6qqqnDDDTcAALZs2QKv1xuyferUqbjuuusAAJs3b8ZAPPZSf+xVjc/rPfb+F+81Au/1bk+HY6/FVoCifCMaTu+D4nUDAFQALT4F7xmaeezFcOwRERHR8KTFHbz+tmzZghtvvDFicEdElCmKrSY4nKGBm6KokLTs34iIiGh0aFRVVUf7TVasWIGGhoaw2/bv3w9RFAEAO3fuxK9//Wts2bIl7JXb+vp63HLLLdi9ezcqKipGtc1ERPHqPwev/zzBdEslpczH8ZGIiAKSkqIZLv1noLfffhtPPfUUNm/ezLQcIsoKrKpGREREyZYWc/D27t2LJ554Ai+88AKvPBJRVmFVNSIiIkqmtAjwNmzYAJ1Oh4cffjj42ObNm2G1WlPYKiIiIiIiosySFgHehx9+mOomEBERERERZby0CPCIiIiIiIiy2QdH6rFzXx3aupwotBixbGElrq9O/PQ0BnhERERERESj6IMj9di88wRMehHWXD16nB5s3nkCABIe5DHAIyIiIiKirFHb0BlSwXrBnLKUFzzbua8OJr2IHKMEAL3/e7BzX13CAzyutktERERERFkhsAat3eFBUb4RdocH2949g9qGzpS2q63LCaMh9N6a0aBFW5cz4e/FAI+IiIiIiLLCgaONMBt1MJskCBoNzCYJZqMOB442prRdhRYjnC5fyGNOlw+FFmPC34sBHhERERERZYUWmwMmoy7kMZNRhxabI0Ut8lu2sBIOt4wepweKqqDH6YHDLWPZwsqEvxfn4BERERERUVYotppgd3hgNknBxxxOL4qtphS2qq+QSv8qmitvZRVNIiKiMec3v/kN3njjDYiiCFVVsW7dOixdujTVzSIiSksL5pRh27tnAPjv3DmcXtidXtx2zcQUt8wf5I1GQDcQAzwiIqI0tmbNGnzrW98CADQ3N+P222/HwoULkZeX2opwRETpqGp8HlbcOCWkiuZt10xMeRXNZGKAR0RElMZyc3ODXzscDmg0GiiKksIWERGlt6rxeWMqoBuIAR4REVGae+mll/D73/8eTU1N+MlPfgKr1ZrqJhERUZpigEdERJRCK1asQENDQ9ht+/fvhyiKWLVqFVatWoVTp07hsccew4IFCxjkERFRWAzwiIiIUmjbtm0x/+y0adNQXFyMgwcPYvHixaPYKiIiylRcB4+IiCiNnTlzJvj1hQsXcOLECUyZMiWFLSIionTGO3hERERp7JlnnsGZM2eg1WohiiK+//3vY/LkyaluFhGlyIYNG/Duu++isLAQO3bsAODvJ7Zu3YqCggIAwKOPPoobbrgB9fX1WLp0KaqqqgAAV1xxBX70ox+lrO2UHAzwiIiI0tivfvWrVDeBiNLInXfeiTVr1uC73/1uyONr167F/fffP+jnJ0yYgNdffz1ZzaM0wBRNIiIiIqIMMX/+fK6DSUNigEdERERElOG2bNmC5cuXY8OGDejs7Aw+Xl9fjzvuuANr1qzB4cOHU9hCShYGeEREREREGWzVqlV4++238frrr6O4uBg//elPAQDFxcXYu3cvXnvtNaxfvx7/9E//BLvdnuLW0mjjHDwiojTxwZF67NxXh7YuJwotRixbWInrqytS3SwiIkqxgePDNZcbQrYXFRUFv7777rvxzW9+EwAgSRIkSQIAzJ49GxMmTEBtbS3mzJmTvMZT0vEOHhFRGvjgSD027zyBHqcH1lw9epwebN55Ah8cqU9104iIKIXCjQ+v7D2DHqc3+DMtLS3Br9955x1cfvnlAID29nbIsgzAv8xKXV0dLrvssuR+AEo63sEjIkoDO/fVwaQXkWP0X2n1/+/Bzn11vItHRDSGDRwfPn3vBbRcOAmvuweLFi3CQw89hIMHD+LkyZMAgPLy8uBSCIcOHcKvf/1raLVaCIKAH/7wh8jPz0/VR6EkYYBHRJQG2rqcsObqQx4zGrRo63KmqEVERJQOBo4PVy9ZB0VVYOt247kNtwHwp2WGs3jxYixevDgp7aT0wRRNIqI0UGgxwunyhTzmdPlQaDGmqEVERJQOOD7QcDHAIyJKA8sWVsLhltHj9EBRFfQ4PXC4ZSxbWJnqphERUQpxfKDhYoomEVEaCMyz618lbeWtrKJJRDTWcXyg4WKAR0SUJq6vruCATUREg3B8oOFIiwDvN7/5Dd544w2IoghVVbFu3TosXbo01c0iIiIiIiLKKGkR4K1Zswbf+ta3AADNzc24/fbbsXDhQuTl5aW4ZURERERERJkjLYqs5ObmBr92OBzQaDRQFCWFLSIiIiIiIso8aXEHDwBeeukl/P73v0dTUxN+8pOfwGq1prpJREREREREGSUpAd6KFSvQ0NAQdtv+/fshiiJWrVqFVatW4dSpU3jsscewYMECBnlERERERETDkJQAb9u2bTH/7LRp01BcXIyDBw9i8eLFo9gqIiIiIiKi7JIWc/DOnDkT/PrChQs4ceIEpkyZksIWERERERERZZ60mIP3zDPP4MyZM9BqtRBFEd///vcxefLkVDeLiIiIiIgoo6RFgPerX/0q1U0gIiIiIiLKeGmRoklERERERETxY4BHRERERESUJRjgERERERERZQkGeERERBngo48+wowZM/CHP/wh1U0hIqI0xgCPiIgozdntdvz85z/HokWLUt0UIiJKcwzwiIiI0txPf/pT3H///bBaraluChERpTkGeERERGnsvffeQ3d3N5YsWZLqphARUQZIi3XwiIiIxqoVK1agoaEh7LZdu3bhF7/4BV544YUkt4qIiDJVRgV4siwDAJqamlLcEiIiSobS0lJotRk1VA3btm3bIm47fPgwLl26hLvvvhsAYLPZsHfvXnR0dOAf/uEfgj/H8ZGIaOyJNEZqVFVVU9CeETl8+DDuvffeVDeDiIiSZPfu3aioqEh1M9LG+vXrMXv2bKxZsybkcY6PRERjT6QxMqMui86ePRtbtmzBuHHjIIpiqptDRESjrLS0NNVNyAgcH4mIxp5IY2RG3cEjIiIiIiKiyFhFk4iIiIiIKEtkVIpmOrj55pshSRL0ej0A4LHHHsMXvvCFFLcqMTZu3Ig333wTFy9exPbt2zF16lQAQG1tLdavX4+Ojg7k5+dj48aNqKysTG1jEyDS583G37HNZsM///M/4/z585AkCRMnTsSPfvQjFBQU4MiRI/jBD34At9uN8vJy/OxnP0NhYWGqmxyXoT7vtGnTMHXqVAiC//rWk08+iWnTpqW4xfF54IEHUF9fD0EQYDKZ8C//8i+YMWNG1v7tUuYbS/1vLMZaHx3NWOvDY8F+frBI+2Ss9iMhVBqWm266ST116lSqmzEqDh06pDY0NAz6jPfdd5/62muvqaqqqq+99pp63333paqJCRXp82bj79hms6kffvhh8Puf/vSn6oYNG1RZltVbb71VPXTokKqqqrpp0yZ1/fr1qWpmwkT6vKqqqlOnTlXtdnuqmjYqurq6gl+//fbb6h133KGqavb+7VLmG0v9byzGWh8dzVjrw2PBfn6wSPtkrPYj/TFFk4LmzZuHsrKykMfa2tpw/Phx1NTUAABqampw/PhxtLe3p6KJCRXu82ar/Px8XHPNNcHvq6ur0dDQgGPHjkGv12PevHkAgHvuuQe7du1KVTMTJtLnzVa5ubnBr+12OzQaTVb/7VLmG0v9byzGWh8dzVjrw2PBfn6wcPuE/JiiOQKPPfYYVFXFVVddhUcffRQWiyXVTRo1jY2NKCkpCVZlE0URxcXFaGxsREFBQYpbN3qy+XesKApeeukl3HzzzWhsbMT48eOD2woKCqAoSjDVIxv0/7wB9913H2RZxqJFi/DQQw9BkqQUtjAxvve972Hfvn1QVRW//e1vx+zfLmW+bO5/YzHW+uhoxkofHgv284MN3CcBY70f4R28YdqyZQv+9Kc/4X/+53+gqip+9KMfpbpJlGDZ/jv+t3/7N5hMpkHraGWrgZ/33XffxauvvootW7bgzJkz2LRpU4pbmBj//u//jnfffRePPPIInnzyyVQ3h2hEsr3/jcVY66OjGSt9eCzYzw8Wbp+wH2GAN2yBlBJJkrB69Wp8/PHHKW7R6CorK0NzczNkWQYAyLKMlpaWrE6tyebf8caNG3Hu3Dk8/fTTEAQBZWVlIWkv7e3tEAQha64MD/y8QN/v12w24+67786q3y8A3HHHHfjoo49QWlo65v52KfNlc/8bi7HWR0czFvvwWLCfHyywT2w225jvRwAGeMPicDjQ3d0NAFBVFW+88QZmzJiR4laNrsLCQsyYMQM7duwAAOzYsQMzZszI2lv/2fw7/uUvf4ljx45h06ZNwXSW2bNnw+Vy4fDhwwCAl19+GUuWLEllMxMm3Oft7OyEy+UCAPh8Prz55psZ//vt6elBY2Nj8Ps9e/YgLy9vzP3tUubL5v43FmOtj45mrPThsWA/P1ikfaLX68d0PxLAhc6H4cKFC3jooYcgyzIURcHkyZPx/e9/H8XFxaluWkL8+Mc/xltvvYXW1lZYrVbk5+dj586d+Pzzz7F+/Xp0dXXBYrFg48aNmDRpUqqbG7dwn/fZZ5/Nyt/xZ599hpqaGlRWVsJgMAAAKioqsGnTJnz88cf413/915AS3EVFRSlucXwifd6vf/3r+MEPfgCNRgOfz4e5c+fi8ccfR05OTopbPHKtra144IEH4HQ6IQgC8vLy8N3vfhezZs3K2r9dynxjqf+NxVjro6MZS314LNjPDxZpn1gsljHbj/THAI+IiIiIiChLMEWTiIiIiIgoSzDAIyIiIiIiyhIM8IiIiIiIiLIEAzwiIiIiIqIswQCPiIiIiIgoSzDAI4rR3LlzceHChVF7/WeeeQaPPfZYwl93/fr1eOqppxL+ukRERADHR6J0o011A4jSzc0334zW1laIohh8bNeuXfjkk0+C369fvx4lJSV45JFHQp734x//GNddd11S20tERJQMHB+JMgMDPKIwnn32WQ5EREREA3B8JEp/TNEkitG0adNw7tw5/PGPf8T27dvx/PPPY+7cufjmN7+J73znO2hoaMA3v/lNzJ07F//93/8NADhy5AjuuecezJs3D1/60pfw0UcfBV/vwoULWLNmDebOnYuvfe1rsNlsEd/79ttvx969e4Pf+3w+XHvttfj0008BAA8//DAWLlyIq666Cvfeey8+++yzsK/z6quvYtWqVWE/FwB4PB5s3LgRN954I6677jr84Ac/gMvlAgC0t7dj3bp1mDdvHq6++mqsXr0aiqKMYE8SEVE24fjI8ZHSCwM8omH6yle+guXLl+P+++/HJ598gmeffRY/+9nPMH78eDz77LP45JNP8Pd///dobm7GunXr8K1vfQsHDx7Ed7/7XTz88MNob28HADz22GOYNWsWPvroIzzwwAPYtm1bxPdctmwZduzYEfz+gw8+gNVqxaxZswAAixYtwptvvokDBw5g5syZI56r8POf/xy1tbV47bXX8NZbb6GlpQWbNm0CALzwwgsoKSnBgQMHsG/fPjz66KPQaDQjeh8iIso+HB85PlJ6YIBHFMaDDz6IefPmYd68eXjggQdG9Bqvv/46Fi1ahBtuuAGCIGDhwoWYPXs23nvvPTQ0NODo0aP4x3/8R0iShPnz5+Pmm2+O+FrLly/Hnj174HQ6AQDbt2/HsmXLgtvvuusumM1mSJKEhx56CCdPnkR3d/ew2quqKrZu3YrHH38c+fn5MJvNWLduHXbu3AkA0Gq1uHTpEhoaGqDT6TBv3jwOYEREYwzHR46PlP44B48ojE2bNsU9x6ChoQG7du0alDpyzTXXoKWlBRaLBSaTKbht/PjxaGxsDPtaEydOxOTJk7F3717cdNNN2LNnD1577TUAgCzLeOqpp7Br1y60t7dDEPzXbWw2G3Jzc2Nub3t7O5xOJ+68887gY6qqBtNM7r//fvzHf/wH/u7v/g6A/0rtN77xjZhfn4iIMh/HRz+Oj5TOGOARjUAsV+bKysrw5S9/GT/+8Y8Hbbt48SK6urrgcDiCg1hDQ8OQr1tTU4MdO3ZAURRMmTIFEydOBOC/Wrl792688MILqKioQHd3N+bPnw9VVQe9htFoDM4ZAIBLly4Fv7ZarTAYDNi5cydKSkoGPddsNmP9+vVYv349Tp8+jb/927/FnDlzsGDBgqj7goiIxgaOjxwfKfWYokk0AoWFhaivrw95rKioKGQdoC996UvYu3cv3n//fciyDLfbjY8++ghNTU0oLy/H7Nmz8cwzz8Dj8eDw4cMhVzLDWbp0Kfbt24eXXnoJNTU1wcd7enogSRKsViucTid++ctfRnyN6dOn47PPPsOJEyfgdrvxzDPPBLcJgoC7774bP/nJT9DW1gYAaG5uxvvvvw8A2Lt3L86dOwdVVZGbmwtRFJmCQkREITg+cnyk1GOARzQCd911F86cORMyB+Eb3/gGfvOb32DevHl4/vnnUVZWhv/8z//Ef/3Xf2HBggW44YYb8PzzzwdTOn7xi1/gr3/9K6655hps2rQJd9xxx5DvWVxcjOrqanzyySdYunRp8PE77rgD48ePxxe+8AUsW7YM1dXVEV+jqqoKDz74INauXYsvfvGLuOqqq0K2f+c738HEiROxcuVKXHnllVi7di1qa2sBAOfOncPXvvY1zJ07F1/5ylewatUqXHvttSPYe0RElK04PnJ8pNTTqOHuUxMREREREVHG4R08IiIiIiKiLMEAj4iIiIiIKEswwCMiIiIiIsoSDPCIiIiIiIiyBAM8IiIiIiKiLMEAj4iIiIiIKEswwCMiIiIiIsoSDPCIiIiIiIiyBAM8IiIiIiKiLPH/A6vJXKaGtwgbAAAAAElFTkSuQmCC\n", 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" ] @@ -1370,8 +1362,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", - "plot_utils.residuals_vs_fitted(model_linear, ax=ax1, studentized=True)\n", - "plot_utils.residuals_vs_fitted(model_quad, ax=ax2, studentized=True)" + "linear_regression.residuals_vs_fitted(model_linear, ax=ax1, studentized=True)\n", + "linear_regression.residuals_vs_fitted(model_quad, ax=ax2, studentized=True)" ] }, { @@ -1383,12 +1375,12 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 198, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1399,8 +1391,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", - "plot_utils.leverage(model_linear, ax1)\n", - "plot_utils.leverage(model_quad, ax2)" + "linear_regression.leverage(model_linear, ax1)\n", + "linear_regression.leverage(model_quad, ax2)" ] }, { @@ -1412,7 +1404,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 199, "metadata": {}, "outputs": [ { @@ -1421,13 +1413,13 @@ "" ] }, - "execution_count": 36, + "execution_count": 199, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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ZsgRr1qzBkCFDMG/ePADA3LlzsWzZMkyZMgXR0dF46aWXvFwDIiLyZRyDZ0X3jPD7J65g5cxsk8zw6jkjsOK9U3471au7pqp1Zrv2fMfSZ9aWXMDsMWkOlz1ICbOxa4vyshDk5G+F3JlyTiNsP3vanu1JvqSwsBC7d+/Gjh078Oc//xkqlQp9+/bFli1b8OGHH2LdunVQqVQAgF69emHdunX48MMPsWXLFvTt29fLpSciIl/mlSd4jizw6k2GjHD8/HHYf/EqBAH49xdlWDApEwoFkDOgN5RKoEzTavK97tEwR2OHnoyO2Yq2OVsuZ+KK9nxH6jOGtJIjkciKei3ePnD9eAoC8PaBMoxOj0G/3o7XXSpTDgClNU0eacOeytD2QxfloKqhDc3tnciIM+1Ysz2JiIioJ/B4B8+wwOuuXbugVquxaNEi7Ny5E59++ikefPBBzJgxA3/4wx+wZcsW3HvvvZ4unhmlUoGEyF54Y3+p+MfhySsNUIcoMXt0KgDrU9Q7Gzv0VHTMWrTNlXI5E1e05ztSnxEE+/ZhoNcL6NQJqG1pxysfX5St7t0z5Z5uw57uy4pGybZmexIREVFP4JWIpmGB187OTpMFXqdNmwaga4HXkpISbxTNImvxL1vRMGdjh56KjlkrvyvlciauaM93LH1mUV4Wth0tdygSeUnTjOXvnUJhrmlEc/WcES7Xvft+PNmGPZmttmZ7EhERUU/g8Sd4ji7w6gtsTedq7T2pWNj5qkYAXX90yhEdczZKaa1uzpTLuBxDUyKx86Eccer+9NgwyTIavpcQqcLGggloadeJC8t3/45xeRMi1AhSAqPTYxyaZreqQYsyTSs2HDSNaKbGqG3W3dABtKetXTm2nEbYMbbamu1JREREPYHHO3jGC7xGRkZi0aJFfrHAq7XpXK29JxULO3WlAYs3HseLd43C0JRIl6JjrkY8pcrvaKTNWjkAOPzejRlx2HO2yuJ3upe3X2/HxlAZ6lZRrxUjmuoQJeaMSbVa94QItUNt7WoskNMI28+etmZ7EhER2YdLC/kvj0c0jRd4DQkJMVvgFYDJAq/+zlIsrDC3K1JoiJDp9HApOuauiKejkTZr5XDmvTMV9W6Lrtqqm9T7QUo4VCbGAj2HbU1EROQ6vV7ApatNKD5+Bbet24+fvH4It63bj91nKqHXC94uHtnB40/wHF3g1d8Zx8LOVzXi1JUGbDhYJi7Mre3Qo6ZJ61J0zF2zAzoaabNWDkGwvEi8tfcq6t0366Gtukm9f+gbjUNlYizQc9jWREREztPrBXxztRlnKxoABbC25LzZDe3BhTlMwfgBj3fwHF3g1ZPc9SjaEAsDgMUbj1uMkBlHxxwth72LPDs7Rs/eSJutcjj6Xkp0qCyzHkrV3VbdLL3vTOTSsB3D2L0jl69BFaQUxxn6UyfE1+MajGASERE5ztIwm8LcLLOHElxayD94ZR28wsJCFBYWmrxmWODVWzyxVIEhQtZ9H8YRMmfKYWu7nlqGwVY5HH0vOyXKZnvZInfd7TmG1sqxevdZ3D02Hev2XvD4khiu8uZyHkREROQ+lobLrNt7AQsmZZrMVcClhfyDQhAEvwnTlpeXIy8vDyUlJUhLS5N126U1Tbht3X6zJzO7ZH4UbXgCIhUhc7Yc1rbrqbrZKocz79lqL1vcUXdnymQox4JJmXjzs1KPHAu5efLniMid5/tAxPYiIlcc+PoqfvL6IbPXC/MGYF3JRd7U9TG2zvleeYLni6TGj5XZiKM5GlmzFSFzdjydte3KOUbPVn2dnW1U6j1XI3dyLXfgapkM5VAopMciuquTJFes0l1jPYmIiMi7pIagDEyMxMv3jsaQ5Cjc0Nu3hmWQNHbwvif1g33s2zrJOxfuiKy5Oq2+O7fpjxE9qbonRzm23IFc5TDsX87ja42cx8wdP5tEREQkP1s3d7u/nx4bZjYE5Zk7h2NYahTS49ix8zceXybBV1maYn1RXhY2Hy4HYHk6fHcsT+COqd7l2qa7lmNwJ6m66/SOLXcgVzneP3EFhblZHpvKX85jxmUIiIiIfJ/h5q7UEgeW3t9ztgpThyRhV2EO/lMwHrsKc5A/KhX9ekewc+eH+ATve92nWFdAgcUbj4szBwHmcTR3xf/knupdrm16IqIndcfJ0usAbLaxXMsduEosR3IkrjW3YWPBBKdm0XQ0binnMeMyBERERL7P0s3d1bvPIjVGjZZ2HcJUwVi9+6zZzV/DmHoOu/B/7OAZMR5bVVrThNqWdpP3u8fR3BX/c8dU73Js090RPak44dQhSdhztsrsdVWwAgvfPWazjeVa7sBVrh4DZ+KWcteTyxAQERH5tu43d1Oi1bh7bDruLjrIJRB6CEY0JdgTR/OV+J+nuDuiJxUnPFNRb/H1k+X1TrexP8YNnYlb+mM9iYiIyHnG4/4BYPaYNHF5JuD6Egizx1yffZFj6gMLn+BJsCeO5ivxP09xd0RPKk5YUW/5dX23BT4caWN/jBs6E7f0x3oSERGR87qv2RuktDyDd9D3fUDe/A087OBZYU8czZn4n14v4JurzSi71oxwVTCSonrJNkORtTFackyXr1QqxBNAVUPXY305lo8ApNstJdry69035+jdJ1fihnItPeAIS+2TER+K0JAgHPj6qtVxiIxVEhER9Qzdb+6GhgSjaF8pYsNUmD0mDQoFEKQApgxNwg/7x/PmbwBiB88Nut85Mb4zYmkc1aK8LGQlRSB3UJJLv1zWxmgBkGW6fHvGgTk7Nb9Uu2WnRFt8XRWsEDs8nrz75K3lIrq3T0Z8KB7KzTLJ1Pv6shVERETkfsY3d/V6AS/fOxoXqpqwtuSC+DfDoOQo/s0QoBSCIAi2P+YbbK3a7ksMT3i6x+JKa5pw27r9Zk+jCiZnIn9UqktPWaS2vaswBwAk33Nkn9b2YdiOPZ+RItVull4HYPGz7uZK/Vxl3A6hIUFi587T5SByN3863/sCthdRYJIrMfR1dRNm/NU7f7uQ/Gyd8/kEzwZnf7EsxeIM25IaT+bqGD1rY7QEwTR/nRKtxuwxaThf1QjAcszS0X1YWj7CsB+FAqhparO5H6k4odTr3ogeemK5CCnG7XDg66sBOdaTiIiI5E0MVTd6728X8jx28KyQ8xfLsK2vKhskx5O5OnuRrbF/hvdSotW4f0KGOKOSI/WyZ9p9w2diw1Qm+3ljf2lARAi9scSCL5eDiIiI5Cc1e3aqE2vp8m+GnoXLJFjhzLT0tra16XA5ltwy0GTa+kV5WRiRFu3y+DFrU+Ibv2dpulx76+XI8hHzxjq/H1/mK0sP+Eo5iIiISH5SiaGSc9X4yeuHcNu6/dh9phL67tOKW8C/GXoWPsGzQs4onmFbFfVavPX5JSy8eQASInqhT2wo+saGyjKLpq0p8Q3vna9qtKteUvFUe5eP6H6nSGo/cvHUzJa+svSAr5SDiIiI5Cf11E33/T9jw1Q4930yzHAzX+pvAP7N0LOwg2eFnI+zjbdVUa/FC3vOi4Nb+/WWr7NjbUp8w3sAbNbLVjzVnuUj+sWHeywO4OmZLX1l6QFfKQcRERHJKz02DKvnjMAjW0+Kf9sU5mZhw8Eyp4bb8G+GnoMRTSvkfJztS4/G7SmLHPFUT9ZZzjgtERERkTfp9QL2nK3Cix9+hQWTMlGYNwCv/vQH2HuuEhX1WpeG21Dg4xM8K+R8nO1Lj8btKYsc8VRP1tmbM1sSERERyembq9dvXL/y8UUAXTfKi+4fi4INh6FQgH/3kCR28GyQ83G2taUT3DluTGofhidpVQ1aAKZLJcgVT5Wq8zdXm1F2rRnhqmAkRfVyeQyiVHkV6Fp7UM529dRYPyIiIuqZyq5ZXlZLp9djV2EOapra8Mb+Us6KSRaxg+dFnhg3JrWPqUOSsOdsleS+DfHK7u+7Gq+0VJ5FeVnISopA7qAkp+ttqbyL8rKweONx1La0y9aunh7rR0RERD1PuCrY4o3rMFUwMhMi3PZ3GgUGjsHzIk+MG5Pax5mKeqv7NsQrdxXm4D8F47GrMEeWToyl8qwtuYCT5fUu1du4vP98cCwKJmfi7QNlqKjXytquHOtHREREctLrBZTWNOHA11dRWtMEvV5AUlQvLMrLMltWKymqFwD3/Z1GgYFP8FxkHNdLiVZDpweqG+2L7hnGjaVEqzF7TBoU33/0WnObbPlpS2PTYsNUaNB24hc5mQCArUfKxY6QcXbbHbMtSY2VS40OxfmqRgCw2m6dnXqcqahHRb0WKdGhyE6JQnCw0qS8VQ1arCu5aLYPOXLpxuU3Pm41TW1ORTUZ9yQiIuq5rCWtspIiUDA5E3oBUCqArKQIpMddf0LHWTFJCjt4LjD+pYwNU+GBiRlYW2L/dLVJUWpkxIfi7rHpJtPcZiVGYIxekOUP/e5j01Ki1XhgYgZ++fZhsyl3a1va3Z7dlhord6W+FY9sO2W13To79Sg+cQXLi0+LZV+VPwz5I1PFTp61fchRN8O2Y8NUJtMTv7G/1OGoJuOeREREPdvla804V9lgctN96abj2FWYg9xBScjsHeH1yfnI/zCi6QLjuN7sMWli5w6wL7rXLz4cT90x3Gya20e2npQt8td9qYJ5Y83LuW7vBcwbm+aR7LalpRMW5WVh8+FysTxS7Xamol7s3Bk+u7z4NM5U1Nvch1x1M2x73ljXpydm3JOIiKjn0usFHL1ch6J9pXh570W8sb8U90/IQGyYCtWNWvEJ3YTM3shMiGDnjuzm8Sd4paWlWLJkifjvb7/9FoWFhcjPz8eSJUtw5coVpKamYs2aNYiOjvZYuRyNyun1Amoa28Q7LhG9ghyerlapVCAkSGHxe2UWyuJMnK/7UgUt7TqL+8tOicag5Ain9uHIdwzlGfRQDi5fa0ZwkBIPbzmJinqtzXYzxEi7l72yXouRfaXrLOddL8O2uz8htFZuKVzagYiIqOe6pGnG49tPmd10L5icydkwySUe7+BlZmbivffeAwDodDpMnjwZU6ZMQVFRESZOnIiCggIUFRWhqKgIy5Yt80iZHI3KWfr8iplDkREfijJNq/g5e2KBUnHCY9/WYV3JRbtnvbTGOKNdWtNkcX8nr9Tjmf/7Eg/lZplEIG3tw5mYoVKpQP/ECPRP7CpPbUu7yftS7ZYSHWqx7MnR5p91Zy7dMMuoqzFQd0ZJiYiIyLdJ3egdmBTJ2TDJJV6NaB44cAB9+/ZFamoqSkpKkJ+fDwDIz8/HRx995LFyOBqVs/T5p3Z8iUenD3E4FmhvZNHWrJf2srS/wtwsbDtajpkjUs0ikLb24WrM0JE4ZXZKFFblDzP57Kr8YchO8dyTXgM5YqDujJISERGRbzLMmqlUKMS/AQzUIUoMSY5iHJNc4tVJVnbu3ImZM2cCADQaDRITEwEACQkJ0Gg0HiuHo1E5qc+rQ5TY+VAOaprsjwV2jxMqFQocKavFnB+kAbg+w6VUPLG6UYt+8eFmEUkAFmOTxvs7X9WIU1casOFg13ICvYIdjx3aajtb8U1H4pRKpQI39ovF2/PH4WpzG1KjQ5HdJ9pkghVPUSoVmDokCZsKJuC7ei2iQoOREhXq8DbcFSX1Nb48W6gvl42IiAJL9wn6FuVlmU3Qd0Nv3ugl13itg9fe3o69e/fid7/7ndl7CoUCCoXn/sByNCon9fmM+HBkJnRFDx1hiBP2iw/H+ye/M/lFL8zNwsbDlyXjiQkRarOI5Mv3jkZ7pyAZmzTsDwAWbzwuLtWQlRjhcGTQWtvZG9+0J04pta3haTEOtbVc9HrBLDLrzILtPWGKY1+eLdSXy0ZERP7D3puFxsmninot3j5QhoLJmRjdNwYZ8eG8yUiy8FpEc9++fcjOzkbv3r0BAPHx8aiurgYAVFdXIy4uzmNlcTQq565o3SVNMx7ZetJssO1TdwxHdkqUxX0GKWEWkTxZbl+c07ges8ek4bndZ1GYa7qo5uo5I6zWy1pbyDlLpK/NOOmuBdsDka8dO2O+XDYiIvIPhpuFt63bj5+8fgi3rduP909+h85OvdlnuyefKuq71u4NVQVxpkySjdee4O3cuRMzZswQ/52bm4vi4mIUFBSguLgYeXl5HiuLo1E5d0XrpOKOIUEKBAcrLe7z0Dcas+/oBdgVtewe13zl44vYcLAMCyZlQqEABAFIjVFbrZe1tpBzlkhfm3FSqjx6AZwFsxtfO3bGfLlsRETkHyzdLHxk60nEhqkwaUBvk7+jOMEaeYJXOngtLS34/PPP8ac//Ul8raCgAIsXL8aWLVvQp08frFmzxqNlcjQq545ondQvfVKUWnKfxt9JiVZj9pg0DE6OlIxzltY0oapBi5RoNXT6rs5IUpRa/E5FvRavfHxR/M6cMak2yy3VFq6cxLpHHRIj3XNCdHb8lVTdlAogOep6O3NMl29fzHy5bERE5B+kbhYeLruGtNhQk7+P0mPDsHrOCDGxxQnWyB280sELCwvDoUOHTF6LjY3F+vXrvVEcn2GIO3YfD2RPRHL17rO4e2w61u29IDlo9xtNExa+ewyxYSo8MDHD7P2X7x2Nhe8ek+2E40x9AMvjol6+d7RT23J0P/aOv7JUt0V5WRjaJxJfVjRyTJcRZ38OenrZiIjItxluEhtmw+x+s9BwI93QwTOM33/xw6+wYFImgpTA2Iw4/DAzvsf+jUDuoRAEQfB2IexVXl6OvLw8lJSUIC0tzdvFcQvDycKR6KdeL+DUlTrcXXRQPLmkRKsxb2yaOGhXqQCmr90PbYcev715AN78rNTsRLTzoRwoFJA1dupMfUprmnDbuv1m5du9KEeMQMpRPqn97CrMsevJrF4v4Jurzbh8rRlhqmAkRfWCTg/M+Kvz2wxUzvwceIovl60n6wnnezmxvYg8q/tsmN1vnBsmyfvng+PE67+rf3cQGdg653t1mQR/0dmpx5mKelTUa5ESHYrslCiHp+a3NwroTPRTqVSgpV1ncdDufwrGIzMhAge+viq+r1BYHqNX06TFhMzeTp9kpOroaH00zW3iOEDg+lIRlQ2ula87V8dfGS/YbmDczs5s08C4LcNUwWjX6RAX1gtByq5j62/RT8Pi8EBXuwOw++aFu5cw6AkzmRIRkbykZsNMiwlF2bVWbDx8GY9MH2KSCOG4b/IUdvBs6OzUo/jEFXEBcMPi2vkjU+3u5HliKnZbY4m6vy/3uCO56qjXC/iuTis+YTS+Cyb3uCh3jL+SY5uW2tLQBvfcmI63D5ShtqXdr6Kfzvx8cAkDIiLyBZZuNkrNhvnPB8ciPT4Mc8akmt2U5Lhv8hSvLZPgL85U1IudO6DrTsvy4tM4U1Fv9zY8MRW7raUbjN/feqQci/KyJD/rDLnqaG2pCLnHRbljuQs5tmmpLdftvYCZI1KxtuQCZo9J87vp/J35+eASBkRE5G1SSyAEKRXitd7AsCayIW3U/Waku5bZIuqOT/BsqKi3/Di9sl6LkX3NP2/PXR7DNuR4JG+8v0FJkdi9KAeVDaZjiQyfiQ0LwcaCiWjUtiM0JBibCiaguV3ndPTNeN+tHTqLdSyzM15n2NbF6kbJpSIA2DU7pSNxWGeXu5DahxxLaEj9vBiitYboqiPt623WfgcMayZ2rwejLERE5G1SSyAsysuyOKGdtc6au5bZIuqOHTwbUqJDLT5OT442f5wuFSkblGR52QI5pvi3FWGz9JlFeVkmMb/xNzg+e1P37S7KG2Cxjse+rcO6kotW43WGba3efRaPTh9icTsp0Wq74nqOxvqcGX9lax+ujumSinAIwvX/N7xmT/v6Aqk6JURIH1dGWSiQNTQ0YPny5Th//jwUCgWeeeYZ3HDDDViyZAmuXLmC1NRUrFmzBtHR0RAEAU8//TQ+/fRTqNVqPPfcc8jOzvZ2FYj8XvebtemxYbhc22LXTfrmdh22HilHweRMcUI7ezprHPdNnsCIpg3ZKVFYlT/M5HH6qvxhyE6JNvusVKQsSAm3PJK3J8Jm6TNyxPy6b3fTYfPY56K8LGw+XC5Ztu7bmjkiFc/tPovCXNPtrJ4zAjo97IrreSLW5+59WIpwFOZmYcfJK1iUl4VtR8sdal9fIBVLCVJKH1dGWSiQPf3008jJycHu3bvx3nvvoX///igqKsLEiROxZ88eTJw4EUVFRQCAffv24dKlS9izZw+eeuop/PGPf/Ru4YkCgKXoZfGJK5j/1hfiv3efqRTX4TVmuNlqGHcXqgqyGMkk8hY+wbMhOFiJ/JGpyEqMQGW9FsnRamSnRFucYEXqLk9lg9Ytj+TtibBZi/tZ+ryz+zbMILV+/jgIEKCAAos3HkdFvVaybN23pVAAZZpWbDhYJs6iKQhAaowa1Y32xfU8Eetz9z6MIxxds2gGoUOnx7TsZAQpgdHpMQ61ry+QiqUc+kZjtS0ZZaFA1NjYiP/+97947rnnAAAqlQoqlQolJSXYsGEDACA/Px/3338/li1bhpKSEuTn50OhUGDUqFFoaGhAdXU1EhMTvVkNIr9m6Wbt8uLTWDApE698fFG84bh7UY7ZeqmFuVnYcLAMAJMl5JvYwbNBrxdwubYFLe06ZCVFWv0D01qkzPBI3jDe6NA3GpfHTdkTYbMW97P0eSndYwwp0ebbrW1pR0JkL2QmRKC0pgm1Le0m25Dal6GMoSFKqEOUqKjX4pWPL4rfmTMmVfxva3XV6wWEqYJQmDcAeuH68gpyn3w9ER20FuHo19ux9vUVlupkqy0ZZaFAVF5ejri4ODz22GM4d+4csrOz8cQTT0Cj0YidtoSEBGg0GgBAVVUVkpOTxe8nJyejqqqKHTwiF9i6AW74t/FN+qoGLTp0Ala8d0r8+4LJEvJFjGhaYenx/e4zldDrLa8NbytS5uj2bLEnwmbpM8YxP3tOTJbK/WVFI16+d7Rds3ZKlc24jC/fOxqRvYIlZ/e0t23vLjqIdSUX8cb+Utw/IQMZ8aGyn3x9ITroC2WQQ6DUg8gRnZ2d+PLLL/GTn/wExcXFCA0NFeOYBgqFAgoFn1YTyUWvF1Ba04QDX19FaU2T1eil8b+Nb9JP7N8bkwb0xj8fHIf/FIzHrsIcnx37Tj0bn+BZITXWanBhjsUnCrZmR3J0e7bYMxtT988kRKjFmJ+9kTepcu98KAe7JPbtyExRSqUCN8RHYOG7xxAbphLjmUoFMDQlUvyOo227bu8FbCyYgOGpMbKefH1hFixfKIMcAqUeRI5ITk5GcnIyRo4cCQCYPn06ioqKEB8fL0Yvq6urERcXBwBISkpCZWWl+P3KykokJSV5pexE/sjS5Ggv3zvaLHr5p9uHoa6lDSnRatS2tGP1nBFmNxyZLCF/wA6eFc6MtbL2i++OsVv2nGi6x0Mr6h2bVl+q3DVNWnGtF2fLZnCtpU3s2AHAvq+qkTMwEecqG6EXYHFmK+OyWypjbJgK2g69Q3FYR5ZY8PQJ3lLZ3F0Ge9vDFbxYUk+TkJCA5ORklJaWIjMzEwcOHED//v3Rv39/FBcXo6CgAMXFxcjLywMA5Obm4p133sGMGTNw4sQJREZGMp5J5ABLN4EXvnsMuxflYOdDOTjzXT0u1jThpY/Oo7alHStnZSMuXAUFBHHSL954JH/CDp4EvV5Ap06QdayVN6d9d3T5AGPuLrdeL+C7Oi3e/KxULNvKmdl4dd9FvPLxRXHm0r/uvYAyTavFsncvY0q0Gg9MzMDP/vmF3fV1pY3czRtl8+X2IPK0PXv2mL0WGRmJgQMHIj4+3uHtrVixAr///e/R0dGBvn374tlnn4Ver8fixYuxZcsW9OnTB2vWrAEA/OhHP8Knn36KKVOmIDQ0FM8884yr1SHqUaRuVF9takNIkBIXa5pgGC2j7dDjyffPoGBypl8sQ0RkCcfgSbikacby905ZnLLf2fFB3hxv5MrU/u4u9yVNMx7ZetKkbE/uOIOZI1LFfy8vPm3y7+5l717GeWPTxMVH7a2vJ5ZYcJY3yubL7UHkaVu2bMHy5cvx/vvv4/3338eKFSvw+uuvi+PoHDVkyBBs27YN77//Pv72t78hOjoasbGxWL9+Pfbs2YO33noLMTExALrG461cuRIfffQR3n//fQwfPlzeyhEFOMNNYGMZ8aG4Uqc1G7ufEq2GtkNv0uHjtY/8DZ/gSahq0EpO2e/sHRx3jDeyN0LnSjzU0XJbKhMAyXLaO5OV8b9jw1SobW7HoUYNmts7kREXjqlDksQxgS3tOofr64klFpzljbL5cnsQeZpOp8OuXbvQu3dvAMDVq1fxyCOPYNOmTfjpT3+K/Px87xaQiCQZbgIbJ1KeumM4CjYcNhu7v2BSJt78rNRkshVe+8jfsIMnwXC3R2rKfmfJOd7IkQidqzFLe8stVSZVsAIL3z1msZy2lnLo/u+UaDV+/aNMfHHpmviUznibhmUaHK2vNyO0tnijbL7cHkSeVlFRIXbuACA+Ph4VFRWIiYlBcDAvpUS+QOqmt1KpwNQhSdjyq4mobemAtkOHTp3e4k3MICWwKC8Lbx8oE1/ntY/8DSOaEvxh+nZHInSeqo9UmU6W10uW01LZVuUPw46TVyz+e97YNFxtbrcawXSmvr58zL1RNl9uDyJPGzduHP7nf/4H27dvx/bt2/HrX/8a48aNQ0tLCyIjI71dPKIeTa8X8HV1E3adqsB7x69g6aYTJktR6fUCPrlQjf0XruKXbx/GL98+ghPldRaXSRiSHIUbeoeLa83y2kf+iLcdJRhiiUMX5aCqoU2MAbpKzlkJ7Y3QGfaZEKnCxoIJaGnXuW1GRKkydV/qz7icliKg6bFhGJMea/LvsRmxqGpog6a5DTp9V0yzol5rss2qBult2qqvL0/Z742y+XJ7+ANPzEBKnrNy5Up88MEHOHr0KAAgPz8f06ZNg0KhwIYNG7xcOqKey1JyqDA3CxsOlolLUQHAyfJ6FO0rFf9G2XS4HIvyskySQIW5WfjTji/x15+MklwGisgfsINnw5cVjbLNIij3rIT2ROik9jn+hni3nKykytR9V93LaSkCavxvvV4wOxaGCIWhk6cOUaJD13WnzhDJcDQO68tT9nujbL7cHr6MM5AGHoVCgenTp2P69OneLgoRGZFaB3dRXhaa2nQ4X9WI2DAVgpWmf5tU1Gvx9oEyvDB3JM5VNUIQgA0Hy1Db0o648F689pFfsxnRvHr1Kh5//HH84he/AABcvHgRmzdvdnvBfIHcswjKvT17InSenglRqkwj0qJdivpZqsfakguYNzZN3OaSWwZixXunONMVeR1nIA08e/bswdSpU/GDH/wAY8aMwejRozFmzBhvF4uoRzMkJSytgxsVGoI3PyvFr945ip/98wtkJUWYRTJrW9oRFRqCN/aX4pWPL6K2pZ1xTAoINp/gPfroo5g9ezZeffVVAEC/fv2wZMkSzJs3z+2F8za5ZxGUe3v2ROg8PROiVJkAuBR3kKpHVmIkVs8ejpqmNrz1+SVU1Gs50xV5HWcgDTx//vOf8eqrr6J///7eLgoR4XpS4qvKBjE5lBKtxuwxaUiPC8V3da3iUA5thx7P/d9ZrJg5FE/t+NIkWfHDzHjGMSng2Ozg1dbW4rbbbkNRUVHXF4KDoVT2jLlZ5J5F0JXtWZsZylqMwBszIUqVyZW4g1Q9LlQ3Yl3JRZPXONMVeRtnIA088fHx7NwR+RBDUiI2TIXC3CxsPHwZd49Nx7q9pmPqNhzsGspRpmlFRlwo1s8fh5b2TqTHheOG3uEcikAByWZPLSwsDLW1tVB8vwjZ8ePHe8yMYXLPIujs9gx3qW5btx8/ef2QycxQnq6Dt7gr+knkDoHye0fXDRs2DIsXL8aOHTuwZ88e8X9E5B2GpERFvRYbDpbhd1MHi5074PpYvAcmZuC3Nw9AYd4ARKpVuLFfHG4enIT+iRF8UkcBy66I5q9//WtcvnwZ99xzD2pra7F27VpPlM3r5J5F0NntSY3nGVyYI/si5b7KXdFPIncIlN87uq65uRmhoaH4f//v/5m8PnXqVC+ViKhnS4y8npSoqNfiu7oWLJiUie+fR2DfV9W4dXgK4sNVWFtyBtoOPYr2lXLCK+oRbHbwsrOz8c477+Cbb76BIAi44YYbEBIS4tJOGxoasHz5cpw/fx4KhQLPPPMMbrjhBixZsgRXrlxBamoq1qxZg+joaJf2IwdHH93bmhrdkQXDDdtRKhQmSwIYMubnqxoBQNyHszFOb7N3OnlDPfrFh+OSphmHvtGIn/fVulHP5eu/d+SYZ5991ttFICIjhgXJ15Zc6JpURR2CNR91PcHLiA/FryYPQEVDK/7wv2ecukFO5M9sdvC6R1AuXbqEyMhIDBw4EPHx8U7t9Omnn0ZOTg7WrVuH9vZ2aLVavPrqq5g4cSIKCgpQVFSEoqIiLFu2zKnte4tcU6Nb2o5hSQAAuH9ChknG/MW7RmHqkCTsOVvld9OyO9pmnH6eiDzp9ddfxy9/+Us89dRT4lAFY8uXL/dCqYgCjyNrh+r1Aqoa2tChE/DnuSMRqQ7Gr945gtgwVdckK7Gh+K6+1WxpBIATXlHPYLODt2XLFhw/fhzjx48HAHzxxRfIzs5GeXk5fvOb3yA/P9+hHTY2NuK///0vnnvuOQCASqWCSqVCSUmJuFhsfn4+7r//fr/r4LkSpbS1nbUlF1AwORM6Pcwy5ks3HcfGggmy7NvTHG0zudqYiMgeholVhg0b5uWSEAUuR27eWvrsqvxhiA1Tmd0Af+n7sdCc8Ip6GpsdPJ1Oh127dqF3794AutbFe+SRR7Bp0yb89Kc/dbiDV15ejri4ODz22GM4d+4csrOz8cQTT0Cj0SAxMREAkJCQAI1G43htvMyZqdEt3bGS2s7ovjFo69RbfM8wDTBwPcKpUABX6loRpAQ6dUB1o+27Yp7maJtZ+7whumnP3T8iInvk5uYCANRqNW699VaT9/7v//7PG0UiCjiO3Ly9fK0Z5yob8IucTADA1iPl+PZaC+aNTTO7Af7cbstLI3DCKwp0Njt4FRUVYucO6JoquqKiAjExMQgOtvl1M52dnfjyyy+xYsUKjBw5EqtWrRKXYDBQKBQWozC+ztGp0aXuWA1KirS4nYzvT0iW3kuJ7tp39ztYb4QosXJWNl799CLKNK0+F2l0pM30egGdOsHi5xMi1IxuEpHbFBUVmXXwLL1GRI4zvnlrfJO6pqnN5GatXi/g6OU6FO0rNVkKYffpCizIyTS7AVymaUWjtgMFkzMxMCkSQ5KjxKURiAKZzWUSxo0bh//5n//B9u3bsX37dvz617/GuHHj0NLS4tRyCcnJyUhOTsbIkSMBANOnT8eXX36J+Ph4VFdXAwCqq6sRFxfn8La9zdGp0aXuWAUpIbkdqX1kp0TjxbtGWbyD9eT7ZzBzRKrJPi5pmt3aFvZypM0uaZqx/L1TKMzNMvn86jkjEKSExbb0lXoSkX/69NNP8dRTT6GqqgqrVq0S//foo48iKCjI28UjCgiGm70p0WrcPyEDb35Wipf3XsTP/vEFio9fwcHSGpy4XItPvqpGmaYZsWEqANeXQvjx4ET0ClaKfxsYqEOUGJoShTtGpuK2YSlcGoF6DJuP4FauXIk9e/bgyJEjALrGIWg0GoSFhYlj5hyRkJCA5ORklJaWIjMzEwcOHED//v3Rv39/FBcXo6CgAMXFxcjLy3O8Nl7m6NToUnHDygat1e1IvTc9O9ns6ZZhm8YPRH1pgLEjbVbV0LVQ6YaDZeJUyIIApMaoTSKqBr5UTyLyT0lJSRg2bBj27t2L7Oxs8fXw8HA89thjXiwZUeAw3Ow9V9lgdpN6bcl5FEzubxKzNF7AXNuhR3psGP728UVxVk3D556fMwI/zOyN4GCbzzOIAorNDp5CoUDfvn1x/PhxfPDBB0hNTcW0adNc2umKFSvw+9//Hh0dHejbty+effZZ6PV6LF68GFu2bEGfPn2wZs0al/bhDvbM8OTI1OjW4onWttP9Pb1eQGlNE6oatIgP72Vxm4LRmui+NsBYqVSIT+yqGrqWgrDUtob2qqjX4pWPLwLoqsucManif0tFPR2ZnYvIk/iz6dsGDx6MwYMHY+bMmS4vEUTU03U/36XHhuFybQuqGrSICwtBelyY2c3aeT/oK3bugOtP7RZMysQrH1+EOkSJygYtTl5pQE1TO/48dyS+qmqEUgGMSItm5456JMkO3jfffIOdO3dix44diI2NxW233QZBEJx6atfdkCFDsG3bNrPX169f7/K23cUd0/Mb7lh136Yjg3+7lysjPhSr8odhefFpcZtP3p6Nv31yvUO0Kn8Y0mPDnCqzO9jbtrbaS+o9Lq1Avoo/m/7jypUrePHFF3Hx4kW0tbWJr5eUlHixVET+Q2r2y7/uvSDOEdB91ssRqVHI7hNlMqGK4amdQgGTp3kAUNvSjnOVjeJN4B/2j0e/3kzxUM8j2cG79dZbMXbsWLz22mvIyMgAALz11lueKpfPccf0/I5GOu0pV5mmFX/dewEbfzkB11raEa4KxvMfnMXMEalipPGvey9gTHqsz0QX7W1bW+0l9V5pTROXViCfxGU//Mdjjz2GwsJCPPPMM3j77bexbds26PV6218kIgCWz3fLi0+LT9y2Hik3mfUyNkyFu8el49f/OmoWzaxtaUfOgN4Y1y8OK947hYp6rVlnz9fSSkSeJNnBe/nll7Fz50488MADyMnJwYwZMyAY5/x6GHum87cWtZJ6z1oU057olqVylWla0dqpw82Dk3Dg66s4XFaPw2X14sxUs0amms1M5cy+rXHk+44slWCpvYz3lRKtRkKE2iTq6czyFd4mZ2yPEUDf5Y8/mz1VW1sbJk6cCABITU3FQw89hNmzZ2PRokVeLhmRf5A6331V1Yg39peKnTOdXo/n545EhCoIv3n3qFk0s2ByJvrFh+PGfl2T8f3zwXGoatCiQyeYdPa4HAL1ZJIdvFtuuQW33HILWlpaUFJSgvXr1+PatWtYuXIlpkyZgkmTJnmynF5nazp/a1ErAA7HsOyNbtkql+F9s+UT9pc6tIioI7ExR7/v6PISUvuKDVPhgYkZJgOsrS074at39uSM7TEC6Ntc+dknz1KpVNDr9cjIyMA777yDpKQkNDdzll4ie0md7wTheudt6S1ZCFIq8fCWE/iFhWUPtB16pMWEYkx6jHgNM9z01esF/PPBcU4noogCic2Rp2FhYZg1axZeffVVfPrppxg6dChef/11T5TNp9iazl8qanVJ02z1PSn2fsdWuQzvW1o+QaoMzpTXle87uryE1L5mj0kTO3fG+7W27IQvcrX93bUtkp8rP/vkWY8//jhaW1uxfPlynDlzBu+99x6ef/55bxeLyCcZJn878PVVlNY0Qa8XkB4bhlX5w0zOd4W5Wdh2tBxA1/VpUHKUyYQqlpY9SI4ORXqc+TnSkPCZkNkbmQlcDoF6NodWKo+Ojsbdd9+Nu+++213l8VmG8V+DHsrB5WvNCFMFIymql/i+taiV4e6UpfekYlj2RrdsjUuztXzCteY2cX+G+J7Uvs9/PyuVTg9UNzoWG7VWX1fGIhrvS6Gw3M62lp2Qi1xRSGvt1y8+HN9cbUbZtWaEf/8zmB5nuh/jcrR26BgB9GFyjMMlzxgxYgSAruURnn32Weh0OuzcuVNc05WIunR26rHzdAUe2XrSJDkyNCUSf/1+9sv0uFBcqWsVlzoAujpvNU1t4jVr65FyFOZmiTenDeve/jAznudIIhsc6uAR8FVVo8W4m62olaMxLEeiW7aWZjAsQ9B9exnxobhSp8VP3/xCrM/L945Gr6Agi/u+WN2Eb642m0UgHY2NSpXR3uUljHXflzPLTshBziikVPslRKjN9rEoLwtZSRHIHZQEpVJhVo5FeQMYAfRx7v7ZJNc0NTXhX//6F6qqqpCbm4ubbroJ//rXv/CPf/wDgwYNwu233+7tIhL5DL1ewOelGrFzB1xPjqyfPw5lmla88vFFpESr8eAP+6G2pR0p0WrMG5uG9LgwhKuCkBEfijJNKyrqtdhwsAwFkzMxPDUamb0jcENv3gAjsgcXB3GAtbibtaiVMzEsuaNblrb31B3DzU7CJ8vrsfy9UyjMzTL57IqZQxGkVFiMQDoaG5WT8b62HinHorwsj+y3OzmjkFLtF6SE2T7WllzAyfJ6cT/dy7HpsPfahCgQLFu2DN988w0GDhyIzZs344EHHsDu3bvxyiuv4O9//7u3i0fkUy5pmnG47JrF5EhLW6dJ5FIdrMTSW7KwMHcAivaV4vebT2LJphNYeHMWMuJDAXQte6AODsKqnV/iq6pGj9aFyJ/xCZ4DbEUPnZnCX4rc0S1L27NUH73QNQvnhoNlWDApU1xaoVHbgeZ2++J+noyddd9XcpQaU4cmo6bJs3E3OWdDlGq/Q99oLO5DL0DcT/dyVNRr8faBMqyfPw4CBEYAiRxUXl4uduTmzZuHSZMm4ZNPPkGvXr1sfJOo56lq0EIvWE7TBAd3pU7WllzA7DFpeHb3OSyYlIkXPzK9cbzivdN4Z8F47LtQA50eYoyTS8gQ2Y8dPAfYih5ai1o5E8OSO7plaXvd6xP0/cKhFfVacaFQdYhS7OzJFRt1hl4vSI4/676v/omWl1FwdGycvd+19rPhzP4t1UlqH0oFzGZNNf5MbUs7EiJ78aJI5ITg4OuXyaCgICQnJ7NzRyQhMVKN909cMRk7lxEfiidvH4YT39ZBoQAW5WUhLkwFbYdecuz81aY2rCu5aPY6x48T2YcdPAcYonPdx1n5a9zNUn2Gp0WbvbYqfxj+uvcC2jsF8e6bp+tvaYxb9/Fn9n7P3rFxjnxX6mcjPTZMtrF5lvZhaIPus6YGys8okbedO3cOY8aMAQAIgoC2tjaMGTMGgiBAoVDg6NGjXi4hkedJ3bgMUgK/+tEAvPrpRSyYlIlodRDiItT41TtHxGvSiplDEROuMhk60P3GZUo0l5AhcoVC8KPVy8vLy5GXl4eSkhKkpaV5pQyGk1qgzHhnqT4ATF5Ljw3D5doWMQKp08PjEcjSmibctm6/2cm+YHIm8kelSt7Rk/reLjtiHo5+11JbXtI0O71/SwxPMY1ncpWaRTNQfkapZ/KF870/YXuRp1i7+Xmg9Coe334KM0ekQqEABiZF4uEtJ8yugQtvHoAgpQL/+e9l3D023WSmzBfvGoWpQ5Kw52wV13AlkmDrnM8neA7yxox3ck2/L7UtS/UxdPSqGrTiv6UikJ4gNcbNePyZI9+zJ+bhzHIP3dtSzrF5hn30T4yw2v6cldE+cv5eERH1BHq9gFNX6ixOKjbooRw0ajvFmTIBYGHuAIvXwITIXvjXwTLcMSoVI9KisLFgAlradSbnYi4hQ+Q8dvB8nJzT79u7LTn3KRd7xp858j17Yh6ufFfObZD8fPFnnIjIlxnOm+cqGyx22s5WNiA9LsziNa/7v6/UtWL6sBRsOFiGH/aPx8i+sWb7481KIudxmQQfJ+f0+/ZuS859ysXS0gGL8rIwIi3abctNyLHcgyeXjCD7+eLPOBGRr9DrBZTWNOHA11dRWtMkDg9Yuum4OEumMXWIEhAAVRCwKn+Y+P77J65g5cxsk2tgYW4WNh8ux7q9FzBvbBpveBK5AZ/g+ThHI37WYmf2bkvuWKG9rJXdENcY9FCO1fFn3VmKeaTHhtkVzZMjIsKYiW/y1s84EZGvk0o4hH7/JG7rkXKsmDkUT+340mTilO/qWiBAQKQ62GSZpX9/UYY/zx2Jr6oaIQjXlz0Ausbo8YYnkfzYwfNxjkT8bMXO7N2WN2KF9kTm7Bl/ZolxzMPRaJ4cERHGTHwPo7NERJZJJRze/vk4cRmlRm0H1tw1Ck3tnbh8rQUv772I2pZ2LMrLQv+ECLz5WanJ+fVidSPe2F9qds4dkhzFG55EbsCIpo9zJOJnK3Zm77a8ESv0VGSO0TwCGJ0lIrJErxdQ09iGX+RkYmHuAKREd9300nbo0dreiUV5WciID0WnToAeAr691oLNh8tRUd+VilhbcgEdOj0Kc7NMzq/p8WFYNm2Q2Tn3ht485xK5A5/geYm9M/g5EvGzFTuztq3u5Zk6JAm7vv9cQoQaQUrg0Dcat8022L3sKdFqzB6ThvNVjQAg2z79OZoXqLM+eqNejM4SEZmylHD546xsxIarUN/SjjBVML4o1aBgcn+TeGZhbpYYu9R26NGk7cSGg2ViTHNQUiRe2HMOK2YOxc6Hcjy+zBJRT8QOnhe4KyZoT+zM0rasladffLhHZhs0LntKtBr3T8gwWxdHjn36azQvUGd99Ga9GJ0lop7K0o210poms4TLH98/gxfmjsTl2lZcqWvF/T/MwG/+dQyxYSrMHpMGhQJo69ThgYkZWL37K6hDlKhpakNFvRavfHwR6hAlXpg7EuvuGY3hqTHiUAsici9GNL3AXTFBZ2Nn1srjqUijcdlnj0kTO3dy79Nfo3mBGi0N1HoREfkqw42129btx9JNJ1B8/Ar+73QFLtY0WUy4nK9uxMt7L+K1faWoqG/DwMQI3D8hA29+Viq+HhUagoz4UPxxVjY2H/kWwPXZrtUqpdi5IyLP4BM8L3BXTNDZ2Jm18ggCPBJpNC77+apGt+3TX6N5/hwttSZQ60VE5KsMN9Ziw1QmaZlFeQMsJlx03/9T26HHUzu+xAtzR+L3W06Y3Jh7aseXeH7uSLz9eSmeumM4dHq93bNdE5H82MFzkiPjhrp/NiVanpigVBkcjZ2lRKtRmDcAeqHr31uPlKO2pV0sjzsjjZbq4Ow+HRnX6G/RPH+NltoSqPUiIvJVhhtr3dMymw6XY1FeFtaWXB8eYRhfZ6Dt0EMvCBZvzPUKUuD5uaP84qYpUaBjB88Jjowbkvrsy/eOxsJ3j5m85khMUK6xS3q9gC8rGlG0r1TczqK8LGQlRYjlefGuUWb7kSPSKFWHqUOSHN5noI5RMzBES91xHLwpUOtFRORLjG+AhqmCkREfCoXCNKFTUa/F2wfKUHT/D3CyvB6j+sbgieJT4pp1QNcNOMP/ut+Yy0qK9Ksbp0SBTCEIguDtQtirvLwceXl5KCkpQVpamtfKUVrThNvW7Tc7ue0qzDE7uUl9dudDOVAo4HRM0JEyOLOdnQ/liAOhDRcGuSON1urQLz7coX3K1R6+zF3HwdsCtV7kGl853/sLthdJsXQD9Pm5I6BSKvFlZQP0Qldyp6JeC3WIEmvvGY2rTW3YfvRbzPlBOp58/4z4vSW3DMTOk99h+rAUt0yERkT2sXXO98oTvNzcXISHh0OpVCIoKAjbtm1DXV0dlixZgitXriA1NRVr1qxBdHS0N4pnk73jhozXkwGun0C1HXrUNGkxrl+8uD3AsaUA5Bq7JLWdmiat2MFzJNLoSHRV09wmTqMMXG8fQx2MFye3tU2pepQF0LIChuNg6Px2X7bCVjvJsRyBO5Y08MfILBGRv+g+mVVsmApXaltNophLbhkIBQQkRoUiolcQahr0+PGgJNS3tuO1+3+AU+X1aO3Q463PL6GiXot6bQc2FkxAa4eON+aIfJDXIprr169HXFyc+O+ioiJMnDgRBQUFKCoqQlFREZYtW+at4lllz7ghS3fMDFn22pZ2JEepXYoUyjF2Sa8X0KkTZBsD5Wh09bs6Ld78rNSkfTYevmyzHbtv01o9jn1bh3UlFwPmDqO1WOues1WS7SRHhDXQY7BERIHGcFPO+Np43/h0sXMHdN0Mfemj8yiYnIl/7j6HeWPT0D8hAk1tOqz/vAyqYAUeys3C8uLT4rn/kelDODMmkQ/zmWUSSkpKkJ+fDwDIz8/HRx995N0CWWHPVPuWpn9ft/cC5o1Nw4t3jYJOD5emh5djuv9LmmYsf+8UCnOzTLazes4Ip8ZAOTLl/SVNMx7ZetKsfZ66Y7jNduy+Tal6rJg5FJsPl9ssiz+Rao8zFfVW20mO5Qi4pAERkf8w3JQ78W2deG1MiVYjKUptMfESrFTi/gkZKNpXikX/OY41JRewbNogrJ8/DvkjU7GrMAf/KRiPXYU5vLFH5OO89gRvwYIFUCgUuPvuu3H33XdDo9EgMTERAJCQkACNRuOtotlkz1T7UpHB0X1j8KOBiTj0jcbumKelSJwc0/1XNWhRpmnFhoNlYlRSEIDUGLVTJ25rsVFDrLCqQYuUaDUuXW22+NmQIIXVdkyJVmP2mDScr2pEo7YT7TodGrWdFusR0SvIYlm8GQV0NeIo1caG6G/31w31lSPSyyUNiOSl0+kwZ84cJCUl4bXXXsO3336LpUuXoq6uDtnZ2Xj++eehUqnQ3t6Ohx9+GGfOnEFMTAxeeukljrMjSZ2depypqMeVulboBeDkt3UozM3Cur0XMHtMGsprWywmXvr1DsfD3ZY/eHz7KewqzEFwsJJReiI/4pUO3r///W8kJSVBo9Fg/vz5yMzMNHlfoVBAofDtO0O2xg1JRSgzvv+D3tmYp3EkztWxS4YyVNRr8crHF8UyzBmT6tL2utcpIeJ6HDU2TIUHJmZA26Gz+NmkKLXkNlOi1SZr9hhincFKWKxHweRM3D8hAxsOlomDx705/b4cEUepNk6JDrX68yRHpJdLGhDJ6+2330b//v3R1NQEAHjhhRfw4IMPYsaMGfjDH/6ALVu24N5778XmzZsRFRWFDz/8EDt37sQLL7yANWvWeLfw5JM6O/UoPnHFJE65cmY29pypwIJJmUiPDcWakgtih8/wmafuGAZBr+dNPKIA4ZWIZlJSEgAgPj4eU6ZMwcmTJxEfH4/q6moAQHV1tcn4PH9kK0LpbMxTzkicHDFPe7YXpLweR509Jg1rSy5g0+Fys0ilpX0bb7P7mj2GWGe7TsCiPNNtFeZmYfPhcvGOpS9Mvy/H8ZRq4+yUKJd/3pzdN5c0IHJcZWUlPvnkE8ydOxcAIAgCDh48iGnTpgEA7rzzTpSUlAAA9u7dizvvvBMAMG3aNBw4cAB+NAE2edCZ7+rFzh3QdZ15cscZ3PmDvnjl44uobWlHbUu7mHhZOmUgXrprFF7++AIu1DSL53cD3sQj8k8ef4LX0tICvV6PiIgItLS04P/9v/+H3/zmN8jNzUVxcTEKCgpQXFyMvLw8TxdNVrYilK7EPOW6myZHzNOe7RnHUQ3r7lTUa00ilTkDeuPGfnFm+zbe5vmqRovtoe3UY+uRcrz+wFgc+uYaBAHiUzsAGJEaJS694M0xA3IcT2vHzNWfN1f2TUSOeeaZZ7Bs2TI0N3fd4KmtrUVUVBSCg7suy8nJyaiqqgIAVFVVISUlBQAQHByMyMhI1NbW+v2NUJLflfpWi9eZ1vZOjM2IRmpsqLiY+SsfX0Rh3gAs+f7G49Yj5WZP9ngTj8g/ebyDp9Fo8Nvf/hZA1/iDmTNnYvLkyRg+fDgWL16MLVu2oE+fPj4dP7F3HJWtCKWzMU8576Y5G/O0Njaw+/a618Pw34ZIZUZ8KKYMSTSb9r97GY2/a6AOUUIQgNqWdkSpQ/DG/lKT9zPiQ5EcrXZqKQq5yXU8pY6ZUqkQL8SW6ivHcgRc0oDIdR9//DHi4uIwbNgwHDp0yNvFIT9j7W+QlCg1CvMGQP/9A96tR8pR29KO9Lgw/DY3C79+5yhiw1TizdXUmFDxmmR843V4ahQGJkXyJh6Rn/J4B69v37743//9X7PXY2NjsX79ek8Xx2GenCreEInrvi9v301ztA2M67H1SLl491DboUdGfCgeys3C3UUHbW7LUnsYllYwjika3ndk257g7uPJZQyI/MPRo0exd+9e7Nu3D21tbWhqasLTTz+NhoYGdHZ2Ijg4GJWVleJwhqSkJFRUVCA5ORmdnZ1obGxEbGysl2tB3mDtPN/ZqcfXV5tRtO/68kOL8rKQGNUL//x/X+Mn4/qZrcu7MHeAyY3Hivqu5Yt2FebwRh6RH1MIfhTkt7VquyeU1jThtnX7zZ7CuOtkaLhT50uROGfawLgeyVFq6PRATZMWoSFBYgfMnm1dutqEbceuIFjZNePXd3UtaGnXYfboVPTrHWGyH0e37QnuPJ6e/tkkcidfON97wqFDh/CPf/wDr732GgoLCzFt2jRxkpVBgwbhvvvuw7/+9S989dVX+NOf/oSdO3diz549WLt2rcl2ekp79XSlNU2Y/9YXmDkiFYa56A5+XYMVM7PR1qnDZxc1Zk/vHr91MEKCgvDkjjNm6/KqghVYlDcQj28/xRuDRH7E1jnfa8sk+DJr8QdPTBVvaf/u+gPdmWn7nWkDS9G+/okROPD1VcSGqTB7TJp4sdp6pNxsaQVD2SrqtVhXctFs+z/sH49+vSNM9nPg66sWy1mmaZasp6vLGNjizoijXD+bcrSBu9uRKBAtW7YMS5YswZo1azBkyBDMmzcPADB37lwsW7YMU6ZMQXR0NF566SUvl5Q8zXBOvVjdiEenD8Fzu8+iTNOKjPhQ/GryADy14wzuGpth8vTO0InL6B2O/9lwxGyCsoLJmUiKUuOG3mHYxbHVRAGFHbxurMUfAKBTJ7h1XJwnY3bO7kvOsYEp0Wo8MDFDjGwaIiVJkWqLZRuaEmn3vqXKqe3QY+9XVcgdlGRST3+POMpxXORoA39vRyJPGj9+PMaPHw+gawjDli1bzD7Tq1cvrFu3ztNFIx/R2anHztMVeGTrSbPO28wRqXhyxxm8dNcocbIU4HonblFeFiol1kkdlByJf35WiolzR3FsNVGA8coyCb7M2lT2lzTNWP7eKbPp/VfPGSHbOCp3L40gx77knC5fp4fYuTOUYW3JBTRqOyyWTaeH3fvuFx+O1XNGmC2f8NzuszhZXm9WT0+2vTvIcVzkaAN/b0ciIl+h1wv4vFQjdu4AIDZMBW2nDovzsjA0JRIDEyOg7dRZ7MSlRIeiSdtpcfmDICjw80n9vT6un4jk16Oe4NkTG7MWcxMEoEzTig0Hy7Dw5gFIiOiFsF7B6BMj36yWnoiAOrIvqTazZ7p8S98FYPJadaPlMnxXr0VsmAr3jU9HUpQa8eEqdOgF1LW2Y+qQJLviJEqlAn1i1OJsYcbLJ+gFmLWpJ9u+OzkijXIsYyBHG3izHT2B8VMicpfu5xelAjhcdk08p45IjcKvfjwA5yobUNvajmst7VgwKRNxESpkxIeiTNMqbksdokTp1SaEhgRZXNh8SJ9I9I3l+YsoEPWYDp69sTFbMTfDXTClQoGV75+xui1neGJpBHv3ZavNrEU6pL6rClZg4bvHxNdev3+sxTKkxYZi/k398OKH502im1X1QahtaUfuoCS7Ogvx4b3w5melZttXKmDWpp5se2NyRhpdHeMnRxt4qx09gfFTInIXS+eXZ+4cjsSIXlCHKBEbpsLd49KxdNNxxIapzIY3/OmOYXjl4wso07SaxDjn/CANW4+UY8GkTAQpgYGJkUiIUrFzRxTAekxE097YmLWYm+G9eWPTxDth1rblDDnjj67uy5WondR3T5bXm7y2/L1TZjHKF+8aBXVwkNi5M3x2bckFXG1utxivdKSOi/KyMCIt2qxNPdn2xnwp0ihHG3irHT3Bl44VEfk/vV5AaU0TDnx9Faeu1GP17rMm55fHt59C/8RwLMrLwgMTM/DUji+h7dBj9pg0s+ENf3jvNB6dPgQLcwdgwaRMbDhYhtqWdigV15c/CA0JgqapDQ9vOcnzFlEA6zFP8OyNjdmKuU3PTjZ7OiG1LWfIEbMD7IuR2dqXK1E7qe/quy3KUaZpRWqM2ixyeegbjdXvG5ehs1OPMxX1qKjXIiGiF5RKIDpUZRInHfRQDi5fa0aYKhhJUb2QHud4e9jL0QifL0Ua5WgDudrRF/nSsSIi/2bpiZ3hqRsAcXbpDp2AL0o1yB+TJp5/FApYPBfpBAFv7L8+k+bKWdnoFx+KjLgRiA1T4auqRry6rxQV9Vqet4gCWI/p4DkSG7MWc1MqFegXH+7WCJqrMTtHYmTW9uVK1E7qu93/xleHKBEX3susDLa+byhDZ6cexSeuYHnx6esXtJnZ2Hr0Mn4+qb9Y5/6JEeifaLs9Pdn2turqrUijHEs5uHM5CG/ytWNFRP5Jrxdw6kqdWSLAMPOlIMBkzNzzc4YjNkxlcv6xdC5SAOK488FJkdA0teHRbadwz43peGHPeVTUa8XP8rxFFLh6TERTztiYr0fQ5IqRuVJPqe+OSIu2ewZMS9HK3uEqk3jlmYp6sXNnqOuTO87ggR9meiU650zb+/rPE13HY0VErjLcCCw5V23xKVzf2DCTYSCxYSpcqdOazOK99Ug5FuVlmV0jL19rwSsfX8Qb+0sRFRqM1k4d7rkxHTf0DkdtS7v4WZ63iAJbj3mCJ2dszNcjaHLFyFypp9R3Adg9A6ZxtFIVrIQ6OAjxESqTeGWFxPo+re2dXonOObsIvC//PNF1PFZE5CrDjcBf5GSKT+FSotWYPSYNQUogKjQYsWEq8Wmb8Xi7DQfLsGBSJkJDlBjaJwqL8rLQ3K6DUgGEq4Lw909Lxc7eI1tPobalHS/eNQq3DLZv9mkiCgw9poMHXI9XAl1/iANwqZPn7gias9OxuxIjM95nSrQaOn3XeLekKDXSY8McKo+lNtJ/P4hOEKS+Zfp9a9FKvV5Awvezi3Wva6gq2GxGUFtll/qMI8chMdKxtu++7XH94m0eY07T712BGj8lIs8w3AjceqQchblZ2Hj4Mu4em24SyVyUl4W3D3Qt6xMXFiLGLgFg65FyVNRr8eitg9DUpoNCAaiClGhu12HxLVnoFx+OpKheGJ0eY9KZ43mLqOfoUR08f5ri3JWyGmJk3b9rK45hvM/uUzBnxIfiodwsk7FujradnO1v2Nbq3WfN1vdZOTMbb39eKtbZnv1KfWbqkCTsOVtlV5n1egHfaJqwKC/LZOpqqbZ3pj386WeYiIhM6fUCwlVBWD1nOGLCVFAqgJWzsvGbfx01mzW6YHImPjlXjeiwEPx5z1cmE7FsPHwZLe06vPLxRXHb6hAlCiZn4sZ+cejXOwL9erMzR9RT9ZgxeIB/TXHuSlkNMbJdhTn4T8F47CrMsasDYLzP7lMwzxyRajbWzdG2k7P9DdsyLDy/YFImCvMGYMPPx2FISgSen3u902PPfqU+c6ai3u4yX9I0Y+G7x/D2ga7yLMwdgILJmRiaEmmx7Z1pD3/6GSYi6umMl0G4dLUJ/3e6EncVHcSajy6gtKYJD/37GI5errMY7U+PC8Mjtw42u/au23sBf5iZLSZYAOtLABFRz9OjnuDJNTbNExE5a2XtFx9u1xIIjsYxjPfZfQpmqSmZqxq62s6eNpFzinnjbVXUa8W7mD/sH48b0+Md3q/UZ6TG+HUvs14voKaxDb/IyQRwPUJjKJOlO6nOtAen6Sci8g/dExeFeQNQtK/U4k1US9H+MFUQrjW3Wzzn17W042+ffI1FeV2RzLhwleQSQETU8/SoDp4cU5x7KiInVdaECLXb9t99n5b23/3fHToBnZ16u2KMck4x78i27Pms1GdSokNtftfaWka1Le2S9XOmPThNPxGRf+ieuNAL12+UGt80NYzFMx5qUJibhdW7z+EPM7MtnvP7xobhpbtHcsIUIrKoR0U05Zji3FMROamyBinhtv0b77P7FMzvn7iCp+4YZlKewtwsrHjvlN0xRm8tVWHPZ6U+k50SZfO7ln4m1u29gHlj06zWz5n24DT9RET+wVLiwnDuNv7vinotNhwsQ8HkTDw/ZzgWTMrEhoNlKNO04k87zmBVvum1d+WsbCRF98KEzN7ITIhg546IzPSoJ3hyTHHuqYicUqnA1CFJ2FgwARX1XTNaZqdE479l19y2/+7tkxylxtShyahp6mqr+tZ2cSYvQQA2HOya4cveGKM7lqoYuigHVQ1taG7vREac5U5O9/0mRKgRpAQOfaMxiZNKlc1WmaV+JoanRuPmgYmS9XOmPThNPxGR7zEephCmCka7Toew72dzNiyDoA5WYlX+MHx7rQUfn6s2mZCrtqUdfWPD8OKH1xcjB4AyTSvqWzrw/NyRaG3vREq0GgIE9I3lTT0iktajOniA61Oceyoip9cLFmOPQ1Mi3bp/S+1jWKagtKYJb35WaiHGaH+byD1V85cVjXbFVQ377RcfbjXiaqlstsos9TNx6ko9OnSC1fisM+3B6a6JiHyHVEx/77lKrMofhr/uvWC2DMKq/GGAoMdLd43C2coG6PRAbXObuBi5gTpEiWstHXhq51moQ5TYWDABw1NjeFOPiKzqURFNOXgqIicVBdXp4bWInnSMMdorZfKVWSgttUthbhY2Hy7nDJdERAFOKqY/PjMBf917AS/MHSl27gzvLy8+DVVICJZsOo51JRfxyscX8c/Py0yGRhhmxtx2tFy8rrJzR0T26HFP8FzlqYicVOyvpknrtYieKzFGd/CVWSgN9Y+fPw77L141ia8C4AyXREQBTOq6olAA0eoQ1DS1WXxf295p8npFvRZvHyjD3+8bgw6dgP4JEQhSwmzBciIiW9jBc4Jx3O+SptlsLJccrEVBXYnoObLEQ/fPpseG4XJti8XveiM26EuzUCqVCiRE9sIb+80jrAkRapTWNEm2uSeW3bDEW/slab52THytPES+Rq8X0KkTLF5XhqdGIyMuDF9VNlqeCTMuzOz12pZ2nPmuAdl9osThEVywnIgcxQ6ek9y9XIIh9td9+67EHh0pc/fPZsSH4qHcLHHBVXctD+EIZ9rIHe1qa9vfaJqw8N1jFtvNU8tudOet/ZI0XzsmvlYeIl90SdOMtSVf4cW7RuFcZQP0Qtes0/fcmI4LVY14+eOLiA1TWVwG4S97zuHJ27Ox8n/PmLy+8fBl3DpsnLerRkR+TCEIguDtQtirvLwceXl5KCkpQVpamlfLUlrThNvW7Te7I7erMEe2p1iGu+dyxR4dKXP3z/725gEWJ1iRs77OcKaN5G5Xa9tWKoDpa6Xb3BM/R5Z4a78kzdeOibfL40vne3/A9vIcvV7AN1ebUXatGWGqIHxztQVPvn9GvBm6clY2vqlpRkSvYDyy7RQAICVajdlj0qBQAIOSIvHMrrOoqNciIz4Uz80egSNltWjt0GPHySt4eNoQ3DqMN1KISJqtc77XnuDpdDrMmTMHSUlJeO211/Dtt99i6dKlqKurQ3Z2Np5//nmoVCpvFc8mV8ZyORp7kqsLLlXmMgtl6f5Z40VZjb/r7fFlrsRlbbWrM/G07lHV/17SiEtLAF0L2lbUa8V289SyG915a78kzdeOia+Vh8jb9HoBl6814+jlOjy+/RS0HXo8fusgAMCf546EtkOHmNAQPPn+GZRpWrEob4AYwayo1+KVjy9CHaLEgkmZ4hjtMk0r6ls7cGO/OLS0d2L26FTc0JtRaCJyjdc6eG+//Tb69++PpqYmAMALL7yABx98EDNmzMAf/vAHbNmyBffee6+3imeTs2O57I09uSMeJVXmY9/WYV3JRZN9SH3W3ctDOMOV6Kk721+vF/BdnVZ88mkcvzG0m6eW3ejOW/slab52THytPETeYnhid7aiAQDEzl1KtBrxkb1Q3dCGZVtOiOf5lbOy8e9DZdh0uNxkrTt1iBJLpwzEP//fJXHb6hAlvqxoQP6oVGQmxHuphkQUaLyyTEJlZSU++eQTzJ07FwAgCAIOHjyIadOmAQDuvPNOlJSUeKNodnN2uQR7p+n31HT+i/K6pvPvvo/un33/xBWsyh/mleUZbHGkrTzZ/pc0zXhk60mzqbOfumO42G6eWnajO2/tl6T52jHxtfIQeZpeL+DS1SYUH7+CGX/dj4X/Pobz1Y2IDVPhtzcPwOK8LPQKChI7cEDXef7J98/gVz8eAADirJhLpwxEweRMDE2JFNe6M15Sp7pRK1kOIiJHeeUJ3jPPPINly5ahubnrj+Xa2lpERUUhOLirOMnJyaiqqvJG0ezm7NIA9saeXI1HScULjcusgAKLNx4XoyLd99G9fumxYRiTHuu2pRCcneFTqVAgNkwlWQ9jnmp/a9sICVKYzD7qjSUmvLVfOQXaDI++dkx8rTxE7mRp1ug9Z6tQfq0ZTe06/CInEwAQFxaCByZmiJ26wrwBFs/z5yobMHtMGt78rBTHvq2DTo+ute4eHIuCyZnQCxCX1KltaeeTcSKSlcc7eB9//DHi4uIwbNgwHDp0yNO7l5UzSwPYG3tyJR5lK15oKHNpTZN4J9HSPizVz11LIbgas1yUl4W3D1xfe06qrTzR/ra2kRRlug1vLDHhzf3KIVBnePS1Y+Jr5SFyB0vnk+fnjMCOk+W4ZUgKXvzo+iyXf71nNB76zzHxvK4XLA9f0OmBICVQmJuFDQfLMOcHaVCHKJEeF47W7xMhcs/kTERk4PGI5tGjR7F3717k5uZi6dKlOHjwIJ5++mk0NDSgs7MTQFeEMykpydNF8wh7Y0+uxKPsjRf6UgTL1Zjl2pILmDe2axYha/XwRPvLuQ2yzB0RZiLqmb65an4+eXjrSdw/IRN/+H4JA8Prp76rN+nMbT1SjsLcLJPz/JJbBmLHySsYkBgpPqFTKoAX7xqFG3qHY3p2MnYV5uA/BeOxqzDH729MEZHv8fgTvN/97nf43e9+BwA4dOgQ/vGPf+Avf/kLCgsL8cEHH2DGjBnYvn07cnNzPV00j7A39uRKPMreeKEvRbAciURKfXZ03xj8p2C81Xp4ov3l3AZZxhkeicgVxpHMprZOi+eTivpWs9e7P7GrqNdi4+HLePNnY3GlthXVjW1494sy3HNjOp7ddRa1Le1YlT8MP0iPRYbR+Z9PxonInXxmofNly5ZhyZIlWLNmDYYMGYJ58+a5ZT/OjtuRc7yPvbEnZ+NRjsQLXVlmQE6OlDkx0vJnM+LD7Word7e/3Nvoaez5XeMMj0TkrO6RzEenD7Icp49WozBvAPTC9SVuDBOOLS8+LUYs7x6bjtX/dw45AxMxKCkC99yYDgCYNzYNY9Jj8cMb4qFSBXmrukTUA3m1gzd+/HiMHz8eANC3b19s2bLFrftzdtyOv433MUQD7c34+0L97C2zXi/gG02T2dTTjD4GBnt/Fh39GSciMjCOeKdEqxEaEmR2TXny9mz84b3TKNO0mixxc8+N6VApgaL7f4DDZbXQ6bsmSqmo1+J8dRMW3jwA7bquRElGfDhTG0TkFT7zBM8TpMbtDC7MsfqExdnveYuj0UBfqJ+9Zb6kacbCd48hNkwlLiCuVABDUyJ5EQ0A9v4sMv5KRM4yjnjPHpOGZ3efM7mmDE6KxJ/3nEOZphXA9SVunp87Em/s+xo/HpyIfoICQ1Ki8Nz/nUVFvdakE/jI9CH40cBEno+IyGt6VAfP2XE7nhjv42oE1NL3u0cDjT+TGKlGkLJr/EBrh86t9bO3bpbijN2/azgWFfVavPLxRfFzk7N6Qy/A4SUWAmF6/UDiyO8a469EZC/j836YKhgZ8aEo07RCoYDZNWXplIFi585A26GHAgJmjOiDlz46Lz7pWz1nBPrEqKEKUqJDp8f0Ycm8phCR1/WoDp6z43bcPd7H1YikPd+3trTAXWPT3FY/V+pm6buv3z/WrKwZ8aG4UqfFT9/8wqklFnw5btvTcGwdEcnN0nl/Vf4w/HXvBQDmyxxkJoRbPA9Fh4Zg2ZaTJgmDR7aexPr54xAZHsKOHRH5DI8vk+BNzk5b7+7p7l2d8t2e70stLTB7TBo2HS7Horwst9TPlbpZ+u7y905h9ZwRJmV96o7heGTrSbv2wen1fRuXliAiuVm8lhSfxjN3Dsfw1GismDnU5JwjCILZ0geFuVmobmyzmDDYf/Eqblu3H7vPVEKvFzxbOSIiC3rUEzylUoGpQ5KwsWACKuq1SIlWIzsl2uYdN3eP97EWSzPMbmktTmhPrE3qMwpFV0zz7QNlWD9/HAQIstbPlXirpe+WaVqRGqPGLqNjIccSC90/2z3O067TIT68F+/QysxSXJZj64hIDobzy/mqRovn/dqWDtQ0dp17CiZnQi90jemOVIdg4+GvxDF5ggBsPHwZv5862OKTPUHw/bH5RNSz9KgOnl4vYM/ZKqfiee4c7yMVS0uOUtsVJ7Qn1ib1GeH7m421Le1IiOwle/1cidxJfTcuvJfZsbB3H/aUx1Kcx3jwPOOc8rAWl+XYOiJyhfH55Rc5mRbP+2crGvHmZ6X40+3ZmJgZh+rGdsSFqdCm0+GeG9NNZtUszM3C6/u+NpttszA3CxsOlgHgWpxE5Dt6VETTV+N5UrE0nR52ldeeWJulzyzKy8K2o+VujcG5Ermz97uO7MOez1r6OVm39wJmjkj1iZ+XQOGrv49E5P+Mzy9bj5RjyS0DzSKX246WQ9uhxx/+9wwOlF7Dov8cxy83HEZFnRZDUyKx7u7RWHvPKBRMzsSGg2U4X92E1NhQbCyYgH8+OFZ8vaJeK26X44WJyBf0qCd4npgN0xlSEdBD32jsLu/QlEisnz8OLe2dSI8Lxw29TWNt3feRENE1i+bo9BgkRqqRHhsmGUkE4PSsk67EW6191zjalxKtxpBk6/V3pDzW4qy+8PMSKHz195GI/J/x+SUhQoX+ieF4cd5I6ATgXGUjdp+uwOwxaVB8f+oP+34hcm2HHk/vOotFeVnoFx+OmLBg5AzojaEpUeKwjuBgJfR6Aa0detS2tAPgeGEi8i09qoPnyzP0WYqAOhsnfPGuUbiht/lFxtI++vWOsBpJXDFzKNo7BZdmnXQl3iq1dIKhvLFhKjwwMcNs0XNL9be3PNbirL7y8xIIfPn3kYj8m+H8Ehumwk/GZ2Dhu8eg7dBjUd4A7Dh5BXePTce6vdevGytmDkVKtBoV9V0dw8TIXlAogJsyExAcbB524lqcROTLelRE099m6HM2TuhozM1aJPFkeb3PxeiMyzt7TJrYuZOrfJbavTA3CztOXvHpnxd/42+/j0Tke/R6AaU1TTjw9VWU1jRBrxeg1wsQBOD5uSOwcuZQPPn+GfEaselwOR6dPkTs3AFd142ndnyJ2WPSAHSdi7ISIzB1aLLFzp2B4WbhhMzeyEyIYOeOiHxGj3qC52933FyJEzoSc7MWSdR/PzuYK9uXm3F5DbFJY66Wz7jduyKrQVzA1g387feRiHyLVIJFFawQn9itnjPc5BpRUa/FheomyWueYRvDUmN4LiIiv9WjOniA43FBS9O4e+qkb8++5Yi5WYskBistz1AZGhKEA19fdblNnGnf7uV1R8zPnbOmAt79ufIl7m5nIgpcUgmWRXlZ4msxYSoU5g2AYXm6rUfKodPrLV43BidFYuMvJ2B4Gjt3ROTfelRE01GGu4O3rduPn7x+yKMLmdq7bzlibtYiiQMSI/CXeabvrcofhsL/HHO5TZxtX+Pybj3ivkXa3cWbP1dERIFCKn2SENELI1Kj8Mj0QWjUdqBoXyle3nsRb+wvxQMTM9A/IQyr8oeZzSp9rbkNNc1t3qgKEZGsetwTPEdI3R30xEKm9u5bjpibYRupBROw/8JVpMeH47u6FswckYoX9nyF9fPHiQuLh4YEofA/x1CmabVaLjnrKFVeQ52To9SYOjQZNU3+EfPz5s8VEVGgSIy0nD6paWrD76cNRkNrB/6855y4YDkA/Oe/l7FyVjaefP8MFkzKRJASGJEWg+9qW/D3T0tR29KOXTwXE5GfYwfPCkt3B2PDVKhpbLMarZMjfufI2Do5Ym5KpQIt7Tq8sOe82XuVDVpxEPmBr6+KnTtb5bJF09xmcuHdeqQcFfVacVvW2tFSnfsnms606Y4IpCPblfoslwcgInJdcBDw5O3ZWPm/Z8QxeCtnZSMIAgo2HMbiW7LMZssszM3CxapGlGla8crHFwF0dQoXTMoU17PjuZiI/B07eFZ0H+uVEq3GAxMz8LN/fiG5ZIDUoG9HlhWwtG/A/VPI27NPucql1wv4rk6LNz8rNVuaITFS7VI7ynUMXNmutc9yeQAiItdV1rfhb59cFG8UCgLw6qcXcceoVGg79EiNCcOyLSfMZoh+fu5Ik+0YJlgBeC4mosDAMXhWdB+bNm+s7Sn55Vi2wNK+PTG2zJ59ylWuS5pmPLL1pNmF96k7hqNffLhL7SjXMXBlu9Y+y+UBiIikGS99cOLbOhy7fA0nvq01WQoBANp1OswckSp2zvafr8bMEalIjQ7FwtwBuFLbajEtcbnbOdt4nVOei4koEPSoJ3iOxva6j/VqadfZjNbJFb8z3ve15jaEBCnR0q7DJU0z0mPDcLm2BZrmNqi+f12OGKI94/ksfSY9NszhOKRUO4UEKVyKMRqOsbPHwNrPiCNlsvVZLg9A1HNVVFTg4YcfhkajgUKhwF133YWf/exnqKurw5IlS3DlyhWkpqZizZo1iI6OhiAIePrpp/Hpp59CrVbjueeeQ3Z2trer4RaW0g8rZ2bj1X0XUaZpFTthU4ck4VpTh5gCyYgPxa8mD8CTO67HNV/6/kZa97TEsNRo8XV1iBKr54xAaowac8ak8lxMRAGhx3TwnI3tGY/1Kq1p8liE0bDvfvHhOFfZaFLuVfnD8J8vypA7ONlkbIEcMUR7xvMZf8aZdtXrBXTqBIvtlBTV1U7OtKOhLF9VNjh1DGzVxZEy2foslwcg6rmCgoLw6KOPIjs7G01NTZgzZw5uuukmbNu2DRMnTkRBQQGKiopQVFSEZcuWYd++fbh06RL27NmDEydO4I9//CM2b97s7Wq4haX0w6v7LuJ3UwfjfFUjAGD17rNIjVbjkW3XUyAzR6SKnTvD957bfRYrZg7FUzu+NLl+/vCGeHHiMN5gI6JA1GMimnLE9jwZYbRW7uXFp/HADzPFzp2z9ZGDM+16SdOM5e+dQmGu6fIGq+eMENvJmXY0lGXT4XKzbdtzDGzVxZEyMYZJRFISExPFJ3ARERHIzMxEVVUVSkpKkJ+fDwDIz8/HRx99BADi6wqFAqNGjUJDQwOqq6u9VXy36p5+SIlW4+6x6Xh4ywlxqYO7x6ajqrENsWEq/PbmAViYOwCDkyMRG6Yy2VaZphUp0b2wsWACXvvpGGwsmID8kalQqYKQmRAhTh7Gzh0RBZoe8wRPjuiksxFGV+4OSpW7tb3TJ2ZidKZdqxq0KNO0YsPBMpPB8akxapNZMh1tR0NZKuq1JtvOGdAbN/aLczo2aqiLI2WS++eAiAJTeXk5zp49i5EjR0Kj0SAxMREAkJCQAI1GAwCoqqpCcnKy+J3k5GRUVVWJn/V3xtH4MFUwMuJDxdmaZ49JM7uZuW7vBaz/+Y14YGKGOC7esJbd2wfKxNkw1SFKZMRFoH9iBEb29Vr1iIg8rsd08OSKTjoaYXSVVLnDVMF21cddywXYKp9Uu+r1glj2inqtyTTVc8akmny2ezsaBt5L1cW4LIZtq0OUmD061a4621MXR44tY5hEZE1zczMKCwvx+OOPIyLC9DyhUCigUAT+DSFL0fin7hiGlz++gPZOATf0DrN44+1aU4fZpGdrSy6gYHIm1pVcFFMhN/RmaoKIep4eE9H018icpXKvyh+G9Z+X2owhGi6ct63bj5+8fgi3rduP3WcqxRnI3FU+qXY1lKfwP0cdjlDaUxdXj7G//owQkf/p6OhAYWEhZs2ahalTpwIA4uPjxehldXU14uLiAABJSUmorKwUv1tZWYmkpCTPF1omxrNknrpSj9W7z5p01Fa8dxrPzh6O308bhG+vtYjnZAN1iBJ6QbDY8RuSHIXCvAEoun8sZgxLYWqCiHqkHvMEz18jc1KzVo5Jj8W15jZsLJggOYum1JiywYU5sj1VcqRdjctjiFAGKYG8wYkYnhpj9VjYUxdXj7G//owQkX8RBAFPPPEEMjMzMX/+fPH13NxcFBcXo6CgAMXFxcjLyxNff+eddzBjxgycOHECkZGRfhvP1OsF7P2qCifL66EXgCAF8PMf3oBX95WK0Upthx6apg48sf0UYsNUKMzNMplQbMXMoQhSKiwmLuLDVcgfxdkwiahn83gHr62tDffddx/a29uh0+kwbdo0FBYW4ttvv8XSpUtRV1eH7OxsPP/881CpVLY36ABPRebkikV23864fvHiduyph9SYsrLv12KTo0yG7dgqj14voKaxDb/IyQQAbD1SLsYzf9g/3qQslvZh71g/V4+xvXVxZ+zVXfy13ESB5siRI3jvvfcwcOBA3HHHHQCApUuXoqCgAIsXL8aWLVvQp08frFmzBgDwox/9CJ9++immTJmC0NBQPPPMM14svWsuX2vGhaomFO0rNRk798DEDKze/RWAro5aS1un2Zjq9LhQXKlrRaO2A43aDrOOX2FuFhRKMBZPRD2exzt4KpUK69evR3h4ODo6OnDvvfdi8uTJ+Oc//4kHH3wQM2bMwB/+8Ads2bIF9957r6eL5zJnl2Nwx3akxpQd+7YOrR16j5XJ0vcKc7Ow4WAZalvaTca4Se1jUFKkbMtPuEKu4+tp/lpuokA0duxYfPXVVxbfW79+vdlrCoUCK1eudHexPKKqoc3i2LkX5o4E0HVef2z6YESGBqMwbwD0wvUbghnxoSiY3B/VDV1P+oqPXzGZqGvj4cuYPixZct9ERD2Fx8fgKRQKhId3jWnq7OxEZ2cnFAoFDh48iGnTpgEA7rzzTpSUlHi6aLKQYzkGubZjaUxZYW4WNh8u92iZLH1v3d4LmDc2zWyMm9Q+gpTwifFxch1fT/PXchNRYGmWmAG6V7ASb//8Rqy9ZzR6hQRh6aYTWFfStSzC/RMykBEfintuTEd0aDBiQkOQHh+Ge25Mx5ufleLlvRfx5meleGT6EI6ZJiKCl8bg6XQ6zJ49G5cvX8a9996Lvn37IioqCsHBXcUxTAHtj+RYjkGu7RjGlMXPH4f9F69CEIANB69PIS1Xmaq+v5sqFf2T+t7ovjH40cBE8bOGCKGlz1Y2aGUfH+dMZFGu4+tp/lpuIgosGXHhFtMYalUQlhefwswRqXjzs1KzG4JF9/8AZ75rQHltK9Z8dAGxYSo8MDEDf547Eq3tnRicHIlhNsZyExH1FF7p4AUFBeG9995DQ0MDfvvb36K0tNQbxXALuZZjkHNZh4TIXnhjf6lL29LrBXTqBItl6tAJuG3dfovRP2vfyzDqUBkihF9VNkjWW84xlM5GFuU6Lp7mr+UmIv9jfPMsMVKN4CCgsr4Nze2duCEuDM/PGYGHt540iewvLz6Fu8emo1NveXbMynotVu/+ChnxoViVPwzLi09j9e6vxHM3O3dERNd5dZmEqKgojB8/HsePH0dDQwM6OzsB+PcU0HJNtS/nlP1ybOuSphnL3ztltrzBs3cOx4r3TklG/6S+t3rOCIvRzE2Hyx1eQsEZzkYW/XUpBX8tNxH5F+MlbZZuOoE9X1bi2OV6fP71VTyx/TRu/etnaNB24MV5I1GYNwALJmViw8EylGlasW7vBdzQO9zisgh9YkLxn4Lx+OeD45A/MhW7CnPwn4Lx2FWYw7HERETdePwJ3rVr1xAcHIyoqChotVp8/vnn+OUvf4nx48fjgw8+wIwZM7B9+3bk5uZ6umiykGuqfbm2Y7iTmhCpsrqkgi1VDVqUaVrF2cwMg9qjw4JRpmk1+awhtpmZECH5vdQYtcUYp/GMaQoFkDOgN27sF+fyxdv4jnKYKhhVDa1ORRaVSgWmDknCxoIJqKjXIiVajeyUaJ//44JLQBCRJ1zSNGP17rNYePMAJEWpUV7bgtW7z6G2pV2cXGvVzrP489yRWFdy0eS72g49rtS1mM2OuSgvC6kxobjB6NzsiRmxiYj8lcc7eNXV1Xj00Ueh0+kgCAKmT5+Om2++GQMGDMCSJUuwZs0aDBkyBPPmzfN00WQjV5TQ1e1IxRDH3xDv8B/2hohfRb1WXN5AHaLE1KETJGOber0g+b05Y1Itbt/QyXvl44tQhygxe3SqLJ277u3w0vdPsxyNLOr1AvacrfLL2Sg9tUwIEfUsxjfQegUr8asfDcCT758xmzV53d4LWDApE698fBEKBSyegxu1Ouw4eQVr7h6F81VN6NTrkZUUgQymDYiI7ObxiObgwYNRXFyM999/Hzt27MDChQsBAH379sWWLVvw4YcfYt26dbKvgdcTyTlzolTELzslGqvnjDCbqXPFe6dw6fv19uyJBrozQmipHZ7bfRYrZg51eH+cjZKI6DrjSOZPXj+ET87XiJ074PokKbPHpEHboUe/+DAU5g1ASJASS6cMNDkHP33ncIzrF4M3HrgRg5MjMe6GWOSPSkXuoCSfv4FGRORLvDLJCnmGnDMnWov49YlRm8QvDTN1GvZjTzTQnRFCS+1QpulaLHfBpEyMSI1CVlJkQM+iSUQkN71ewKnyOpObXnoBiA1TYfaYNCi+P51uPVIuPrH7trYF60ouiuvdvfHAWAQpFRaHDvTrzXMqEZEz2MELUHq9gDBVkMlCsRX1WpdmTjRE/PrFh+OSphmHvtEgKUqNuLBeJtNaA6ZxR3ujge6KEErNINmo1eHNz0qxqzDH7n1yNkoiIqCzU4+Sc1Xo0An4RU4mgK7rTESvIDwwMUNczNwwhi5cFYRFeVl4+0AZgK4bY8/uPoeNv5yAkemx3qwKEVHAYQcvAFkac1aYm4WNhy+7vBCspW2/fO9ovHjXKLNxab4yQ6Mh/mmpPRwtp6Vt+VJdiYjcTa8X8N+yayi92mzSkSvMzUKUOhh/2nHWJKK5tuQC3pp/I57ZedbsyV5Lh86LNSEiCkzs4AUgS+PE1u29gI0FEzDcxbWCLG174bvHsHtRDnb56AyNxvHPrlk0g9Ch02P6sGSHy8nZKImop7ukaYamqV3s3AHXrzN/v2+M5Rh7QxtuHZ5i9mQvJZrpByIiubGDF4Ckxom1duhc7ohIbbuyQYsJmb29Pg7NeDY34zEdcsY/ORslEfVUer2AmsY2CIDFa0FNY5vFGHtKtFpc3Nzw2bUlFzB1aLIni09E1COwgxeA3DlOzJfHoEktC+EPSxgQEfkyvV7AN1ebcbaiAReqGxGlDrF4LWjQdpitY/enO4ZBJ+gtdwibtOifyJtlRERy8vgyCeR+7lxywJ3bdhWXMCAico5eL+DS1SYcKtVg77kqfF3dBL1eEN/bfaYSM/66Hwv/fQyv7StFsFKBR6YPNrkWLMrLgipIid2nK7BgUiYW5g5AweRMNGs7oFAoxc8a+MrNQSKiQMMneH5CKnoo9f7UIUkujYmztD+gqxOVEKnCxoIJaGnXWSyLvWWWi2E/56sa8YucTHHGUMA9Sxh4ql5ERJ6g1wvYf7EaLW16nK1sgF4Annz/DB6ZPgTTs5Mt3jx7dvc5rL1nNAomZ0IvdC2R8/aBMtS2tKNgcqa4FMKKmUNRtO9rrJ8/jhNUERF5CDt4fsBW9NDa+850bKS2pwpWYOG7x0xeG39DvGTnzhNxSakZQw1r8cl9h5gxUCIKNJevNaO8Voundnxpch5dvfssBidHSo69rmtux7qSi2bbS40OxcLcAVAqgGZtBx6ZPgTpceFIjwvnBFVERB7AiKYfsBU9lDuaKLW9k+X1du/DU3FJqRlDZ49Jc8sdYsZAiSjQVDW0iZ074Pp5dOaIVFQ3diUVMuJD8dubB2Bhbtf/MuJDEa4Othi7vFzbijf2lyI9LgxTs5PFG2CGCaoME3Kxc0dE5B7s4PkBqbun1Y1au96Xa3/fD8ewax9yl8nRso5IjcKuwhzZn6x5ql5ERJ7S3N5p8bwWpAQSI9VIjw3DQ7lZePOzUry89yLe2F+K3/x4AFraOrDkloEm4/CevnM44sJCUDA5E2MzYtGvNztyRESexoimh1kb2yY1psvWzJVyz2wptb3u12hr+/DUbJtS+8lKinTLuDulQuGzs4gSETkjIy7c4nltYmY80mPDcLm2BcuLT5s84Vv5v2ewYFImth0tx4JJmQhSAgMSI/FdXQvWfHQBL941CulxHF9HROQNfILnQYbxW7et24+fvH4It63bj71fVZm9tvtMpTh7GWB75kq5Z7aU2t6ItGi79+Gp2TY9sR/j47Z443EsysvyyVlEiYiccUNv8/NoYW4WHt12EnvOVkkmF4KUQEW9Fm9+Vgp1cBD+succRveNdUt6goiI7McneB5kafzWyfJ6FO0rNRvTNbgwR3wCpVQqMD07WXJwuq33HSW1PQB2z8wpd5kcLauc+zE+bhX1Wrx9oAwFkzMxum8MMuLDOVEAEfk1w3k0tWACSs5VQ6eHOFHV0k3HsbFgouQTPgDQ6YGNhy/jkelDcGO/OJ4PiYi8jB08D7J0F1QvQHJMl3HE0DA4XSp2aOt9S6xN9y+1PUf24UyZnOHu/XQ/bhX1WqwruYj/FIx3e92IiDxBqVSgpV2HzYfLMXtMGub8IA0AsPVIOTp0OotLHNyYEYekKDWqG7WYMyaVN7uIiHwEO3geZGm8WJACXhnTxen+7eep8YRERN6UEq3GAxMzsLbkgnhdWJSXhd4RvTAmPc5iUsITN/GIiMgxHIPnQZbGiw1Pi/bIWLXuON2//Tw1npCIyJt0eoidO6DrurC25AJ0enCJAyIiP8IneB5kbWybpxd/tTbdP+/GmvLUeEIiIm+qbrR8Xahp0qJ/Iq8LRET+gh08D5NjbJscGDt0DKNIRBToeF0gIgoMjGj2UIwdEhGRMV4XiIgCA5/g9VCMHRIRkTFeF4iIAgM7eD0YY4dERGSM1wUiIv/HiCYREREREVGAYAePiIiIiIgoQHg8ollRUYGHH34YGo0GCoUCd911F372s5+hrq4OS5YswZUrV5Camoo1a9YgOjra08UjIiIiIiLyWx5/ghcUFIRHH30Uu3btwsaNG/Huu+/i4sWLKCoqwsSJE7Fnzx5MnDgRRUVFni4aERERERGRX/N4By8xMRHZ2dkAgIiICGRmZqKqqgolJSXIz88HAOTn5+Ojjz7ydNGIiIiIiIj8mlfH4JWXl+Ps2bMYOXIkNBoNEhMTAQAJCQnQaDTeLBoREREREZHf8doyCc3NzSgsLMTjjz+OiAjT6ZgVCgUUCvN1d3Q6HQCgsrLSI2UkIiLvMJznDed9so7XRyKinsPWNdIrHbyOjg4UFhZi1qxZmDp1KgAgPj4e1dXVSExMRHV1NeLi4sy+V1NTAwC47777PFpeIiLyjpqaGmRkZHi7GD6P10ciop5H6hqpEARB8GRBBEHAI488gujoaDzxxBPi66tXr0ZsbCwKCgpQVFSEuro6PPzwwybf1Wq1OH36NBISEhAUFOTJYhMRkQfpdDrU1NRg2LBhUKvV3i6Oz+P1kYio57B1jfR4B+/w4cO47777MHDgQCiVXUMAly5dihEjRmDx4sWoqKhAnz59sGbNGsTExHiyaERERERERH7N4x08IiIiIiIicg+vzqLp7yoqKnD//ffjtttuw4wZM7B+/XoAQF1dHebPn4+pU6di/vz5qK+vB9AVT121ahWmTJmCWbNm4cyZM+K2tm/fjqlTp2Lq1KnYvn27V+pjTKfTIT8/H//zP/8DAPj2228xb948TJkyBYsXL0Z7ezsAoL29HYsXL8aUKVMwb948lJeXi9t47bXXMGXKFEybNg379+/3Sj0MGhoaUFhYiOnTp+PWW2/FsWPH/P44vfXWW5gxYwZmzpyJpUuXoq2tzS+P02OPPYaJEydi5syZ4mtyHpvTp09j1qxZmDJlClatWgV339OyVJ/Vq1dj+vTpmDVrFn7729+ioaFBfE+q/fft24dp06ZhypQpJuuCSh1jT9fJ4B//+AcGDRqEa9euAfCPY0SewWukb597jfEa6ZvHKdCuj1J14jWyi6zHSSCnVVVVCadPnxYEQRAaGxuFqVOnChcuXBBWr14tvPbaa4IgCMJrr70mPP/884IgCMInn3wiLFiwQNDr9cKxY8eEuXPnCoIgCLW1tUJubq5QW1sr1NXVCbm5uUJdXZ13KvW9f/zjH8LSpUuFgoICQRAEobCwUNixY4cgCIKwYsUK4V//+pcgCILwzjvvCCtWrBAEQRB27NghLFq0SBAEQbhw4YIwa9Ysoa2tTbh8+bKQl5cndHZ2er4i33v44YeFTZs2CYIgCG1tbUJ9fb1fH6fKykrh5ptvFlpbWwVB6Do+W7du9cvj9MUXXwinT58WZsyYIb4m57GZM2eOcOzYMUGv1wsLFiwQPvnkE4/XZ//+/UJHR4cgCILw/PPPi/WRav/Ozk4hLy9PuHz5stDW1ibMmjVLuHDhgiAI0r+Lnq6TIAjCd999J/z85z8XfvzjHwsajUYQBP84RuQZvEb69rnXGK+RvnmcAu36KFUnXiPlP058gucCRxdtN7yuUCgwatQoNDQ0oLq6Gp999hluuukmxMTEIDo6GjfddJNX7+ZVVlbik08+wdy5cwF03W04ePAgpk2bBgC48847UVJSAgDYu3cv7rzzTgDAtGnTcODAAQiCgJKSEsyYMQMqlQp9+/ZFRkYGTp486ZX6NDY24r///a9YH5VKhaioKL8/TjqdDlqtFp2dndBqtUhISPDL43TjjTciOjra5DW5jk11dTWampowatQoKBQK5Ofni23iyfpMmjQJwcFdkxaPGjVKnN5Yqv1PnjyJjIwM9O3bFyqVCjNmzEBJSYnV30VP1wkAnn32WSxbtsxkWRt/OEbkGbxG+va514DXSN89ToF2fZSqE6+R8h8ndvBkYs+i7VVVVUhOTha/k5ycjKqqKrPXk5KSUFVV5dkKGHnmmWewbNkycRKc2tpaREVFib98hnIDXXVKSUkBAAQHByMyMhK1tbU+Vafy8nLExcXhscceQ35+Pp544gm0tLT49XFKSkrCz3/+c9x8882YNGkSIiIikJ2d7dfHyZhcx0bq8960detWTJ48GYB5faTKbXjd2u+ip3300UdITEzE4MGDTV4PhGNE8uM10nfPvbxG+sdxMgjk6yPAa6SBq8eJHTwZOLNou6/6+OOPERcXh2HDhnm7KLLp7OzEl19+iZ/85CcoLi5GaGioSV4b8L/jVF9fj5KSEpSUlGD//v1obW31+hgOd/G3Y2PN3//+dwQFBeH222/3dlFc0traitdeew2LFi3ydlHID/Aa6dt4jfRf/nZcbOE1Uj7s4LnI2qLtAEwWbU9KShIfOwNdMY+kpCSz16uqqpCUlOTBWlx39OhR7N27F7m5uVi6dCkOHjyIp59+Gg0NDejs7DQpN9BVp4qKCgBdF4nGxkbExsb6VJ2Sk5ORnJyMkSNHAgCmT5+OL7/80q+P0+eff460tDTExcUhJCQEU6dOxdGjR/36OBmT69hIfd4btm3bhk8++QQvvPCCeEG2t9yG12NjYyWPsSddvnwZ5eXluOOOO5Cbm4vKykrMnj0bNTU1fn2MSH68Rvr+uZfXSP84TgaBeH0EeI2U+zixg+cCQRDwxBNPIDMzE/Pnzxdfz83NRXFxMQCguLgYeXl5Jq8LgoDjx48jMjISiYmJmDRpEj777DPU19ejvr4en332GSZNmuSNKuF3v/sd9u3bh7179+LFF1/EhAkT8Je//AXjx4/HBx98AKBrlp/c3FyxToaZfj744ANMmDABCoUCubm52LlzJ9rb2/Htt9/i0qVLGDFihFfqlJCQgOTkZJSWlgIADhw4gP79+/v1cerTpw9OnDiB1tZWCIKAAwcOYMCAAX59nIzJdWwSExMRERGB48ePQxAEk2150r59+/DGG2/g73//O0JDQ03qaan9hw8fjkuXLuHbb79Fe3s7du7cidzcXCgUCslj7EmDBg3CgQMHsHfvXuzduxfJycnYtm0bEhIS/PYYkfx4jfSPcy+vkf5xnAwC7foI8BrpluPk5IQxJAjCf//7X2HgwIHCzJkzhdtvv124/fbbhU8++US4du2a8MADDwhTpkwRfvaznwm1tbWCIAiCXq8X/vjHPwp5eXnCzJkzhZMnT4rb2rx5s3DLLbcIt9xyi7BlyxYv1cjUwYMHxRnCLl++LMyZM0e45ZZbhIceekhoa2sTBEEQtFqt8NBDDwm33HKLMGfOHOHy5cvi9//2t78JeXl5wtSpU70+K96XX34p3HnnncLMmTOFX//610JdXZ3fH6e1a9cK06ZNE2bMmCH8/ve/F2eZ8rfjtGTJEuGmm24Shg4dKuTk5AibNm2S9dicPHlSmDFjhpCXlyc8+eSTgl6v93h9brnlFmHy5MniecIwW5sgSLf/J598IkydOlXIy8sT/va3v4mvSx1jT9fJ2M033yzOEOYPx4g8g9dI3z73GuM10jePU6BdH6XqxGtkFzmPExc6JyIiIiIiChCMaBIREREREQUIdvCIiIiIiIgCBDt4REREREREAYIdPCIiIiIiogDBDh4REREREVGAYAePyAtGjx5t9tq///1vcW0be91zzz0AgPLycrz//vtyFI2IiMireI0kcg2XSSDygtGjR+PYsWOybe/QoUP4xz/+gddee022bRIREXkDr5FEruETPCIf8de//hVvvvkmAOD+++/HM888g9mzZ+PWW2/FyZMnsXDhQkydOhUvvfSS+B3DXc6//OUvOHz4MO644w689dZb3ig+ERGR2/AaSWS/YG8XgIgsCwkJwbZt27B+/Xr85je/wbZt2xATE4NbbrkFDz74IGJjY8XP/u53v+PdSSIi6jF4jSSSxid4RD4qNzcXADBw4EBkZWUhMTERKpUKffv2RWVlpZdLR0RE5D28RhJJYwePyEepVCoAgFKpFP/b8O/Ozk5vFYuIiMjreI0kksYOHlEACA8PR3Nzs7eLQURE5HN4jaSehmPwiLygtbUVkydPFv89f/58l7Y3aNAgKJVK3H777Zg9ezYefPBBF0tIRETkHbxGErmGyyQQEREREREFCEY0iYiIiIiIAgQ7eERERERERAGCHTwiIiIiIqIAwQ4eERERERFRgGAHj4iIiIiIKECwg0dERERERBQg2MEjIiIiIiIKEOzgERERERERBYj/D1cSL+TUC68WAAAAAElFTkSuQmCC\n", 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\n", 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" ] @@ -1444,12 +1436,33 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 354, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 354, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import importlib\n", + "importlib.reload(linear_regression)" + ] + }, + { + "cell_type": "code", + "execution_count": 355, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -1461,14 +1474,14 @@ "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16,8))\n", "model = smf.ols(\"Balance ~ Limit + Age\", data=credit).fit()\n", - "plot_utils.rss_contour(model, (0.15, 0.2), (-5, 0), ax1, [21.25, 21.5, 21.8])\n", + "linear_regression.rss_contour(model, (0.15, 0.2), (-5, 0), ax1, [21.25, 21.5, 21.8])\n", "model = smf.ols(\"Balance ~ Limit + Rating\", data=credit).fit()\n", - "plot_utils.rss_contour(model, (-0.15, 0.25), (-1, 5.5), ax2, [21.25, 21.8])" + "linear_regression.rss_contour(model, (-0.15, 0.25), (-1, 5.5), ax2, [21.25, 21.8])" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 356, "metadata": {}, "outputs": [], "source": [ @@ -1485,7 +1498,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 357, "metadata": {}, "outputs": [ { @@ -1584,7 +1597,7 @@ " Limit 0.025 0.064 0.384 0.7012" ] }, - "execution_count": 40, + "execution_count": 357, "metadata": {}, "output_type": "execute_result" } @@ -1603,7 +1616,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 358, "metadata": {}, "outputs": [], "source": [ @@ -1620,7 +1633,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 359, "metadata": {}, "outputs": [ { @@ -1639,7 +1652,7 @@ "Name: VIF, dtype: float64" ] }, - "execution_count": 42, + "execution_count": 359, "metadata": {}, "output_type": "execute_result" } @@ -1652,7 +1665,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 360, "metadata": {}, "outputs": [ { @@ -1670,7 +1683,7 @@ "Name: VIF, dtype: float64" ] }, - "execution_count": 43, + "execution_count": 360, "metadata": {}, "output_type": "execute_result" } @@ -1683,7 +1696,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 361, "metadata": {}, "outputs": [], "source": [ @@ -1692,7 +1705,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 362, "metadata": {}, "outputs": [ { @@ -1710,7 +1723,7 @@ "Name: VIF, dtype: float64" ] }, - "execution_count": 45, + "execution_count": 362, "metadata": {}, "output_type": "execute_result" } @@ -1730,7 +1743,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 363, "metadata": {}, "outputs": [], "source": [ @@ -1750,7 +1763,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 364, "metadata": {}, "outputs": [], "source": [ @@ -1770,12 +1783,12 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 365, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1798,7 +1811,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 366, "metadata": {}, "outputs": [], "source": [ @@ -1824,7 +1837,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 367, "metadata": {}, "outputs": [], "source": [ @@ -1855,12 +1868,12 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 368, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1877,13 +1890,13 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 375, "metadata": {}, "outputs": [], "source": [ "N = 100\n", "x = np.linspace(-1, 1, N)\n", - "a, b, c = 0.5, 3, 3.2\n", + "a, b, c = 0.5, 3, 3.5\n", "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.2).rvs(N)\n", "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", "\n", @@ -1897,12 +1910,12 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 376, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1919,13 +1932,13 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 379, "metadata": {}, "outputs": [], "source": [ "N = 100\n", "x = np.linspace(-1, 1, N)\n", - "a, b, c = 0.5, 3, 7\n", + "a, b, c = 0.5, 3, 10\n", "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.3).rvs(N)\n", "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", "\n", @@ -1939,12 +1952,12 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 380, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] From a9370781eeb48cb298ea66d7c9c7e8930f3e6e18 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Mon, 13 Sep 2021 23:45:13 +0200 Subject: [PATCH 13/32] finish ch3 up to lab --- 03_Linear_regression.ipynb | 186 +++++++------------------------------ linear_regression.py | 53 +++++++++++ 2 files changed, 86 insertions(+), 153 deletions(-) diff --git a/03_Linear_regression.ipynb b/03_Linear_regression.ipynb index 32f456b..b26fe6f 100644 --- a/03_Linear_regression.ipynb +++ b/03_Linear_regression.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 441, "metadata": {}, "outputs": [], "source": [ @@ -17,18 +17,13 @@ "\n", "import pandas as pd\n", "import numpy as np\n", - "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import axes3d\n", "import seaborn as sns\n", "\n", "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf\n", "\n", - "from scipy import stats\n", - "\n", - "from sklearn.neighbors import KNeighborsRegressor\n", - "from sklearn.model_selection import train_test_split" + "from scipy import stats" ] }, { @@ -1434,27 +1429,6 @@ "sns.scatterplot(data=credit, x=\"Limit\", y=\"Rating\", ax=ax2)" ] }, - { - "cell_type": "code", - "execution_count": 354, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 354, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import importlib\n", - "importlib.reload(linear_regression)" - ] - }, { "cell_type": "code", "execution_count": 355, @@ -1811,64 +1785,7 @@ }, { "cell_type": "code", - "execution_count": 366, - "metadata": {}, - "outputs": [], - "source": [ - "def compare_linear_knn(data_train, data_test, data_dense, ax):\n", - " model_linear = smf.ols(\"y ~ x\", data=data_train).fit()\n", - " data_dense[\"y_linear\"] = model_linear.predict(data_dense.x)\n", - " \n", - " data_dense[\"y_knn_1\"] = (\n", - " KNeighborsRegressor(n_neighbors=1).fit(data_train.x.values.reshape(-1, 1), data_train.y)\n", - " .predict(data_dense.x.values.reshape(-1, 1))\n", - " )\n", - " data_dense[\"y_knn_9\"] = (\n", - " KNeighborsRegressor(n_neighbors=9).fit(data_train.x.values.reshape(-1, 1), data_train.y)\n", - " .predict(data_dense.x.values.reshape(-1, 1))\n", - " )\n", - " \n", - " sns.lineplot(data=data_dense, x=\"x\", y=\"y_linear\", color=\"black\", linestyle=\"--\", ax=ax);\n", - " sns.lineplot(data=data_dense, x=\"x\", y=\"y\", color=\"black\", ax=ax)\n", - " sns.lineplot(data=data_dense, x=\"x\", y=\"y_knn_1\", color=\"blue\", lw=1, ax=ax);\n", - " sns.lineplot(data=data_dense, x=\"x\", y=\"y_knn_9\", color=\"red\", lw=1, ax=ax);\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 367, - "metadata": {}, - "outputs": [], - "source": [ - "def linear_knn_mse(data_train, data_test, ax):\n", - " model_linear = smf.ols(\"y ~ x\", data=data_train).fit()\n", - " linear_mse = ((model_linear.predict(data_test.x) - data_test.y)**2).sum()/len(data_test)\n", - " \n", - " Ks = np.linspace(1, 9, 9)\n", - " knn_mse = []\n", - " for K in Ks:\n", - " knn = KNeighborsRegressor(n_neighbors=int(K)).fit(data_train.x.values.reshape(-1, 1), data_train.y)\n", - " mse = ((knn.predict(data_test.x.values.reshape(-1, 1)) - data_test.y)**2).sum()/len(data_test.x)\n", - " knn_mse.append(mse)\n", - "\n", - " data_knn_mse = pd.DataFrame({\"K\": Ks, \"MSE\": knn_mse})\n", - " data_knn_mse[\"inv_K\"] = 1/data_knn_mse[\"K\"]\n", - " \n", - " ax.axhline(y=model_linear.mse_resid, color=\"black\", linestyle=\"--\")\n", - " sns.lineplot(data=data_knn_mse, x=\"inv_K\", y=\"MSE\", color=\"green\", markers=True, linestyle=\"--\", ax=ax);\n", - " sns.scatterplot(data=data_knn_mse, x=\"inv_K\", y=\"MSE\", color=\"green\", ax=ax);\n", - " ax.set_xscale(\"log\")\n", - " ax.set_xticks([0.2, 0.5, 1])\n", - " ax.get_xaxis().set_major_formatter(mpl.ticker.ScalarFormatter())\n", - " ax.set_ylim(bottom=0)\n", - " ax.set_xlabel(\"1/K\");\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 368, + "execution_count": 443, "metadata": {}, "outputs": [ { @@ -1884,8 +1801,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", - "compare_linear_knn(data_train_linear, data_test_linear, data_dense_linear, ax1)\n", - "linear_knn_mse(data_train_linear, data_test_linear, ax2)" + "linear_regression.compare_linear_knn(data_train_linear, data_test_linear, data_dense_linear, ax1)\n", + "linear_regression.linear_knn_mse_one_var(data_train_linear, data_test_linear, ax2)" ] }, { @@ -1910,7 +1827,7 @@ }, { "cell_type": "code", - "execution_count": 376, + "execution_count": 405, "metadata": {}, "outputs": [ { @@ -1927,7 +1844,7 @@ "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", "compare_linear_knn(data_train_semi_linear, data_test_semi_linear, data_dense_semi_linear, ax1)\n", - "linear_knn_mse(data_train_semi_linear, data_test_semi_linear, ax2)" + "linear_knn_mse_one_var(data_train_semi_linear, data_test_semi_linear, ax2)" ] }, { @@ -1952,7 +1869,7 @@ }, { "cell_type": "code", - "execution_count": 380, + "execution_count": 406, "metadata": {}, "outputs": [ { @@ -1969,34 +1886,17 @@ "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", "compare_linear_knn(data_train_not_linear, data_test_not_linear, data_dense_not_linear, ax1)\n", - "linear_knn_mse(data_train_not_linear, data_test_not_linear, ax2)" + "linear_knn_mse_one_var(data_train_not_linear, data_test_not_linear, ax2)" ] }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 444, "metadata": {}, "outputs": [ - { - "ename": "ValueError", - "evalue": "Data must be 1-dimensional", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/tmp/ipykernel_21428/104321980.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_test\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0mdata_train_not_linear\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"x\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"y\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 15\u001b[0m \u001b[0mdata_test_not_linear\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"x\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mx_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"y\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0my_test\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[1;32m 612\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 613\u001b[0m \u001b[0;31m# GH#38939 de facto copy defaults to False only in non-dict cases\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 614\u001b[0;31m \u001b[0mmgr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdict_to_mgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtyp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmanager\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 615\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMaskedArray\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 616\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmrecords\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmrecords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py\u001b[0m in \u001b[0;36mdict_to_mgr\u001b[0;34m(data, index, columns, dtype, typ, copy)\u001b[0m\n\u001b[1;32m 462\u001b[0m \u001b[0;31m# TODO: can we get rid of the dt64tz special case above?\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 463\u001b[0m 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copy because getting jammed in an ndarray anyway\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 124\u001b[0;31m \u001b[0marrays\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_homogenize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 125\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py\u001b[0m in \u001b[0;36m_homogenize\u001b[0;34m(data, index, dtype)\u001b[0m\n\u001b[1;32m 587\u001b[0m \u001b[0mval\u001b[0m \u001b[0;34m=\u001b[0m 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591\u001b[0m )\n", - "\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/construction.py\u001b[0m in \u001b[0;36msanitize_array\u001b[0;34m(data, index, dtype, copy, raise_cast_failure, allow_2d)\u001b[0m\n\u001b[1;32m 575\u001b[0m \u001b[0msubarr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmaybe_infer_to_datetimelike\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubarr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 576\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 577\u001b[0;31m \u001b[0msubarr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_sanitize_ndim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubarr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallow_2d\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mallow_2d\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 579\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubarr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/ISLR_Python/.venv/lib/python3.9/site-packages/pandas/core/construction.py\u001b[0m in \u001b[0;36m_sanitize_ndim\u001b[0;34m(result, data, dtype, index, allow_2d)\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mallow_2d\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 627\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 628\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Data must be 1-dimensional\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 629\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mExtensionDtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 630\u001b[0m \u001b[0;31m# i.e. PandasDtype(\"O\")\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: Data must be 1-dimensional" - ] - }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -2008,61 +1908,38 @@ "source": [ "fig, axs = plt.subplots(1, 6, figsize=(12,5))\n", "\n", - "N = 100\n", + "N = 1000\n", "x = np.linspace(-1, 1, N)\n", - "a, b, c = 0.5, 3, 7\n", + "a, b, c = 0.5, 3, 10\n", + "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.2).rvs(N)\n", " \n", - "for p in [1, 2, 3, 4, 10, 20]:\n", + "for i, (ax, p) in enumerate(zip(axs, [1, 2, 3, 4, 10, 20])): \n", + " x_random = stats.norm(0, 0.5).rvs((N, p))\n", " \n", - " y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.3).rvs(N)\n", - " x_random = stats.norm(0, 0.3).rvs((N, p))\n", - " x = np.concatenate([x.reshape(-1, 1), x_random], axis=1)\n", - " x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", - "\n", - " data_train_not_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", - " data_test_not_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", + " x_multi = np.concatenate([x.reshape(-1, 1), x_random], axis=1)\n", + " x_train, x_test, y_train, y_test = train_test_split(x_multi, y, test_size=0.5)\n", + " \n", + " linear_knn_mse(x_train, y_train, x_test, y_test, ax)\n", " \n", - " linear_knn_mse(data_train_not_linear, data_test_not_linear, ax2)" + " ax.set_ylim((0, 1))\n", + " ax.set_title(f\"p={p}\")\n", + " if i >= 1:\n", + " ax.set_ylabel(\"\")\n", + " ax.set_yticklabels([])\n" ] }, { - "cell_type": "code", - "execution_count": 95, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(100, 2)" - ] - }, - "execution_count": 95, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "np.concatenate([x.reshape(-1, 1), x.reshape(-1, 1)], axis=1).shape" + "## 3.6 Lab: Linear Regression" ] }, { - "cell_type": "code", - "execution_count": 100, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(100, 4)" - ] - }, - "execution_count": 100, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - ".shape" + "### 3.6.2 Simple Linear Regression" ] }, { @@ -2090,7 +1967,10 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" - } + }, + "toc-autonumbering": false, + "toc-showcode": false, + "toc-showmarkdowntxt": false }, "nbformat": 4, "nbformat_minor": 4 diff --git a/linear_regression.py b/linear_regression.py index 477be85..b6ae8a5 100644 --- a/linear_regression.py +++ b/linear_regression.py @@ -3,6 +3,8 @@ import numpy as np import pandas as pd import seaborn as sns + +import matplotlib as mpl import matplotlib.pyplot as plt import statsmodels.formula.api as smf @@ -11,6 +13,9 @@ from scipy.interpolate import UnivariateSpline +from sklearn.neighbors import KNeighborsRegressor +from sklearn.model_selection import train_test_split + def add_margins(ax, x=0.05, y=0.05): # This will, by default, add 5% to the x and y margins. You # can customise this using the x and y arguments when you call it. @@ -191,3 +196,51 @@ def rss(model, beta_x1, beta_x2): ax.set_xlabel(rf"$\beta_{{{model.model.exog_names[1]}}}$") ax.set_ylabel(rf"$\beta_{{{model.model.exog_names[2]}}}$") + +def compare_linear_knn(data_train, data_test, data_dense, ax): + model_linear = smf.ols("y ~ x", data=data_train).fit() + data_dense["y_linear"] = model_linear.predict(data_dense.x) + + data_dense["y_knn_1"] = ( + KNeighborsRegressor(n_neighbors=1).fit(data_train.x.values.reshape(-1, 1), data_train.y) + .predict(data_dense.x.values.reshape(-1, 1)) + ) + data_dense["y_knn_9"] = ( + KNeighborsRegressor(n_neighbors=9).fit(data_train.x.values.reshape(-1, 1), data_train.y) + .predict(data_dense.x.values.reshape(-1, 1)) + ) + + sns.lineplot(data=data_dense, x="x", y="y_linear", color="black", linestyle="--", ax=ax); + sns.lineplot(data=data_dense, x="x", y="y", color="black", ax=ax) + sns.lineplot(data=data_dense, x="x", y="y_knn_1", color="blue", lw=1, ax=ax); + sns.lineplot(data=data_dense, x="x", y="y_knn_9", color="red", lw=1, ax=ax); + + +def linear_knn_mse(X_train, y_train, X_test, y_test, ax): + X_train = sm.add_constant(X_train) + X_test = sm.add_constant(X_test) + model_linear = sm.OLS(y_train, X_train).fit() + linear_mse = ((model_linear.predict(X_test) - y_test)**2).sum()/len(y_test) + + Ks = np.linspace(1, 9, 9) + knn_mse = [] + for K in Ks: + knn = KNeighborsRegressor(n_neighbors=int(K)).fit(X_train, y_train) + mse = ((knn.predict(X_test) - y_test)**2).sum()/len(y_test) + knn_mse.append(mse) + + data_knn_mse = pd.DataFrame({"K": Ks, "MSE": knn_mse}) + data_knn_mse["inv_K"] = 1/data_knn_mse["K"] + + ax.axhline(y=model_linear.mse_resid, color="black", linestyle="--") + sns.lineplot(data=data_knn_mse, x="inv_K", y="MSE", color="green", markers=True, linestyle="--", ax=ax); + sns.scatterplot(data=data_knn_mse, x="inv_K", y="MSE", color="green", ax=ax); + ax.set_xscale("log") + ax.set_xticks([0.2, 0.5, 1]) + ax.get_xaxis().set_major_formatter(mpl.ticker.ScalarFormatter()) + ax.set_ylim(bottom=0) + ax.set_xlabel("1/K"); + + +def linear_knn_mse_one_var(data_train, data_test, ax): + linear_knn_mse(data_train.x.values, data_train.y, data_test.x.values, data_test.y, ax) From 2dd5aa08cefc3d22f2566a8a6f71276cb627a494 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Tue, 14 Sep 2021 22:23:59 +0200 Subject: [PATCH 14/32] scale-location plot --- linear_regression.py | 35 +++++++++++++++++++++++++++++++++-- 1 file changed, 33 insertions(+), 2 deletions(-) diff --git a/linear_regression.py b/linear_regression.py index b6ae8a5..d546c69 100644 --- a/linear_regression.py +++ b/linear_regression.py @@ -16,6 +16,7 @@ from sklearn.neighbors import KNeighborsRegressor from sklearn.model_selection import train_test_split + def add_margins(ax, x=0.05, y=0.05): # This will, by default, add 5% to the x and y margins. You # can customise this using the x and y arguments when you call it. @@ -47,8 +48,9 @@ def residuals_vs_fitted(model, ax, show_quantiles=False, studentized=False): line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}, ax=ax ) - ax.axhline(y=2, linestyle="--", color="grey") - ax.axhline(y=-2, linestyle="--", color="grey") + if studentized: + ax.axhline(y=2, linestyle="--", color="grey") + ax.axhline(y=-2, linestyle="--", color="grey") ax.set_title('Residuals vs Fitted') ax.set_xlabel('Fitted values') @@ -166,6 +168,35 @@ def graph(formula, x_range, label=None): add_margins(ax) +def scale_location(model, ax): + + # normalized residuals + std_residuals = model.get_influence().resid_studentized_internal + # absolute squared normalized residuals + sq_abs_std_residuals = np.sqrt(np.abs(std_residuals)) + data = pd.DataFrame({"y_fitted": model.fittedvalues, "sq_abs_std_residuals": sq_abs_std_residuals}) + + sns.regplot( + data=data, + x="y_fitted", y="sq_abs_std_residuals", + scatter=True, + ci=False, + lowess=True, + line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}, + scatter_kws=dict(alpha=0.5), + ax=ax + ) + + ax.set_title('Scale-Location') + ax.set_xlabel('Fitted values') + ax.set_ylabel('$\sqrt{|Standardized Residuals|}$'); + + # annotations + data = data.sort_values("sq_abs_std_residuals", ascending=False) + for i, row in data[:3].iterrows(): + ax.annotate(i, xy=(row.y_fitted, row.sq_abs_std_residuals)); + + def rss_contour(model, x_lim, y_lim, ax, levels=None): def rss(model, beta_x1, beta_x2): From 8589d92370fdc8cb071f1b72cd54a2556f09264d Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Tue, 14 Sep 2021 22:36:37 +0200 Subject: [PATCH 15/32] vif --- linear_regression.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/linear_regression.py b/linear_regression.py index d546c69..1298738 100644 --- a/linear_regression.py +++ b/linear_regression.py @@ -196,6 +196,15 @@ def scale_location(model, ax): for i, row in data[:3].iterrows(): ax.annotate(i, xy=(row.y_fitted, row.sq_abs_std_residuals)); +def variance_inflation_factors(model): + exog_df = pd.DataFrame(model.model.exog, columns=model.model.exog_names) + leave_one_out_R2 = [ + sm.OLS(exog_df[col].values, exog_df.loc[:, exog_df.columns != col].values).fit().rsquared + for col in exog_df + if col != "Intercept" + ] + vifs = pd.Series([1 / (1. - R2) for R2 in leave_one_out_R2], index=exog_df.columns[1:], name='VIF') + return vifs def rss_contour(model, x_lim, y_lim, ax, levels=None): From 75e9c5ca590da6737f5648add3a32566eccb5740 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Tue, 14 Sep 2021 23:45:59 +0200 Subject: [PATCH 16/32] finish up to exercises --- 03_Linear_regression.ipynb | 1892 +++++++++++++++++++++++++++++++++++- 1 file changed, 1865 insertions(+), 27 deletions(-) diff --git a/03_Linear_regression.ipynb b/03_Linear_regression.ipynb index b26fe6f..0d61f5a 100644 --- a/03_Linear_regression.ipynb +++ b/03_Linear_regression.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 441, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -49,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -1588,23 +1588,6 @@ "pd.concat([df_age, df_rating]).reset_index().set_index([\"Model\", \"name\"])" ] }, - { - "cell_type": "code", - "execution_count": 358, - "metadata": {}, - "outputs": [], - "source": [ - "def variance_inflation_factors(model):\n", - " exog_df = pd.DataFrame(model.model.exog, columns=model.model.exog_names)\n", - " leave_one_out_R2 = [\n", - " sm.OLS(exog_df[col].values, exog_df.loc[:, exog_df.columns != col].values).fit().rsquared \n", - " for col in exog_df\n", - " if col != \"Intercept\"\n", - " ]\n", - " vifs = pd.Series([1 / (1. - R2) for R2 in leave_one_out_R2], index=exog_df.columns[1:], name='VIF')\n", - " return vifs" - ] - }, { "cell_type": "code", "execution_count": 359, @@ -1634,7 +1617,7 @@ "source": [ "model = smf.ols(\"Balance ~ Age + Rating + Limit\", data=credit).fit()\n", "print(f\"{model.rsquared:.3f}\")\n", - "variance_inflation_factors(model).round(2)" + "linear_regression.variance_inflation_factors(model).round(2)" ] }, { @@ -1665,7 +1648,7 @@ "source": [ "model = smf.ols(\"Balance ~ Age + Limit\", data=credit).fit()\n", "print(f\"{model.rsquared:.3f}\")\n", - "variance_inflation_factors(model).round(2)" + "linear_regression.variance_inflation_factors(model).round(2)" ] }, { @@ -1705,7 +1688,7 @@ "source": [ "model = smf.ols(\"Balance ~ Age + Credit_worthiness\", data=credit).fit()\n", "print(f\"{model.rsquared:.3f}\")\n", - "variance_inflation_factors(model).round(2)" + "linear_regression.variance_inflation_factors(model).round(2)" ] }, { @@ -1843,8 +1826,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", - "compare_linear_knn(data_train_semi_linear, data_test_semi_linear, data_dense_semi_linear, ax1)\n", - "linear_knn_mse_one_var(data_train_semi_linear, data_test_semi_linear, ax2)" + "linear_regression.compare_linear_knn(data_train_semi_linear, data_test_semi_linear, data_dense_semi_linear, ax1)\n", + "linear_regression.linear_knn_mse_one_var(data_train_semi_linear, data_test_semi_linear, ax2)" ] }, { @@ -1885,8 +1868,8 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", - "compare_linear_knn(data_train_not_linear, data_test_not_linear, data_dense_not_linear, ax1)\n", - "linear_knn_mse_one_var(data_train_not_linear, data_test_not_linear, ax2)" + "linear_regression.compare_linear_knn(data_train_not_linear, data_test_not_linear, data_dense_not_linear, ax1)\n", + "linear_regression.linear_knn_mse_one_var(data_train_not_linear, data_test_not_linear, ax2)" ] }, { @@ -1919,7 +1902,7 @@ " x_multi = np.concatenate([x.reshape(-1, 1), x_random], axis=1)\n", " x_train, x_test, y_train, y_test = train_test_split(x_multi, y, test_size=0.5)\n", " \n", - " linear_knn_mse(x_train, y_train, x_test, y_test, ax)\n", + " linear_regression.linear_knn_mse(x_train, y_train, x_test, y_test, ax)\n", " \n", " ax.set_ylim((0, 1))\n", " ax.set_title(f\"p={p}\")\n", @@ -1942,6 +1925,1861 @@ "### 3.6.2 Simple Linear Regression" ] }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 506 entries, 1 to 506\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 crim 506 non-null float64\n", + " 1 zn 506 non-null float64\n", + " 2 indus 506 non-null float64\n", + " 3 chas 506 non-null int64 \n", + " 4 nox 506 non-null float64\n", + " 5 rm 506 non-null float64\n", + " 6 age 506 non-null float64\n", + " 7 dis 506 non-null float64\n", + " 8 rad 506 non-null int64 \n", + " 9 tax 506 non-null int64 \n", + " 10 ptratio 506 non-null float64\n", + " 11 lstat 506 non-null float64\n", + " 12 medv 506 non-null float64\n", + "dtypes: float64(10), int64(3)\n", + "memory usage: 55.3 KB\n" + ] + } + ], + "source": [ + "boston = pd.read_csv('Data/Boston.csv', index_col=0)\n", + "boston.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " crim zn indus chas nox rm age dis rad tax ptratio \\\n", + "1 0.00632 18.0 2.31 0 0.538 6.575 65.2 4.0900 1 296 15.3 \n", + "2 0.02731 0.0 7.07 0 0.469 6.421 78.9 4.9671 2 242 17.8 \n", + "3 0.02729 0.0 7.07 0 0.469 7.185 61.1 4.9671 2 242 17.8 \n", + "4 0.03237 0.0 2.18 0 0.458 6.998 45.8 6.0622 3 222 18.7 \n", + "5 0.06905 0.0 2.18 0 0.458 7.147 54.2 6.0622 3 222 18.7 \n", + "\n", + " lstat medv \n", + "1 4.98 24.0 \n", + "2 9.14 21.6 \n", + "3 4.03 34.7 \n", + "4 2.94 33.4 \n", + "5 5.33 36.2 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "boston.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "model = smf.ols(\"medv ~ lstat\", data=boston).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.544
Model: OLS Adj. R-squared: 0.543
Method: Least Squares F-statistic: 601.6
Date: Tue, 14 Sep 2021 Prob (F-statistic): 5.08e-88
Time: 21:56:03 Log-Likelihood: -1641.5
No. Observations: 506 AIC: 3287.
Df Residuals: 504 BIC: 3295.
Df Model: 1
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 34.5538 0.563 61.415 0.000 33.448 35.659
lstat -0.9500 0.039 -24.528 0.000 -1.026 -0.874
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Omnibus: 137.043 Durbin-Watson: 0.892
Prob(Omnibus): 0.000 Jarque-Bera (JB): 291.373
Skew: 1.453 Prob(JB): 5.36e-64
Kurtosis: 5.319 Cond. No. 29.7


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.544\n", + "Model: OLS Adj. R-squared: 0.543\n", + "Method: Least Squares F-statistic: 601.6\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 5.08e-88\n", + "Time: 21:56:03 Log-Likelihood: -1641.5\n", + "No. Observations: 506 AIC: 3287.\n", + "Df Residuals: 504 BIC: 3295.\n", + "Df Model: 1 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 34.5538 0.563 61.415 0.000 33.448 35.659\n", + "lstat -0.9500 0.039 -24.528 0.000 -1.026 -0.874\n", + "==============================================================================\n", + "Omnibus: 137.043 Durbin-Watson: 0.892\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 291.373\n", + "Skew: 1.453 Prob(JB): 5.36e-64\n", + "Kurtosis: 5.319 Cond. No. 29.7\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "\"\"\"" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 29.803594\n", + "1 25.053347\n", + "2 20.303101\n", + "dtype: float64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.predict(exog=dict(lstat=[5, 10, 15]))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanmean_semean_ci_lowermean_ci_upperobs_ci_lowerobs_ci_upper
029.800.4129.0130.6017.5742.04
125.050.2924.4725.6312.8337.28
220.300.2919.7320.878.0832.53
\n", + "
" + ], + "text/plain": [ + " mean mean_se mean_ci_lower mean_ci_upper obs_ci_lower obs_ci_upper\n", + "0 29.80 0.41 29.01 30.60 17.57 42.04\n", + "1 25.05 0.29 24.47 25.63 12.83 37.28\n", + "2 20.30 0.29 19.73 20.87 8.08 32.53" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# mean_ci_xxx is the confidence interval, obs_ci_xxx is the prediction one\n", + "model.get_prediction(exog=dict(lstat=[5, 10, 15])).summary_frame().round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.regplot(data=boston, y=\"medv\", x=\"lstat\", ci=95, line_kws=dict(color=\"red\"), scatter_kws=dict(alpha=0.5));" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 2, figsize=(12, 12))\n", + "\n", + "linear_regression.residuals_vs_fitted(model, ax=axs[0][0])\n", + "linear_regression.residuals_normality(model, ax=axs[0][1])\n", + "linear_regression.scale_location(model, ax=axs[1][0])\n", + "linear_regression.leverage(model, ax=axs[1][1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.3 Multiple Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.551
Model: OLS Adj. R-squared: 0.549
Method: Least Squares F-statistic: 309.0
Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.98e-88
Time: 22:24:43 Log-Likelihood: -1637.5
No. Observations: 506 AIC: 3281.
Df Residuals: 503 BIC: 3294.
Df Model: 2
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 33.2228 0.731 45.458 0.000 31.787 34.659
lstat -1.0321 0.048 -21.416 0.000 -1.127 -0.937
age 0.0345 0.012 2.826 0.005 0.011 0.059
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Omnibus: 124.288 Durbin-Watson: 0.945
Prob(Omnibus): 0.000 Jarque-Bera (JB): 244.026
Skew: 1.362 Prob(JB): 1.02e-53
Kurtosis: 5.038 Cond. No. 201.


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.551\n", + "Model: OLS Adj. R-squared: 0.549\n", + "Method: Least Squares F-statistic: 309.0\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.98e-88\n", + "Time: 22:24:43 Log-Likelihood: -1637.5\n", + "No. Observations: 506 AIC: 3281.\n", + "Df Residuals: 503 BIC: 3294.\n", + "Df Model: 2 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 33.2228 0.731 45.458 0.000 31.787 34.659\n", + "lstat -1.0321 0.048 -21.416 0.000 -1.127 -0.937\n", + "age 0.0345 0.012 2.826 0.005 0.011 0.059\n", + "==============================================================================\n", + "Omnibus: 124.288 Durbin-Watson: 0.945\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 244.026\n", + "Skew: 1.362 Prob(JB): 1.02e-53\n", + "Kurtosis: 5.038 Cond. No. 201.\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "\"\"\"" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"medv ~ lstat + age\", data=boston).fit()\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.734
Model: OLS Adj. R-squared: 0.728
Method: Least Squares F-statistic: 113.5
Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.23e-133
Time: 22:29:05 Log-Likelihood: -1504.9
No. Observations: 506 AIC: 3036.
Df Residuals: 493 BIC: 3091.
Df Model: 12
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 41.6173 4.936 8.431 0.000 31.919 51.316
age 0.0036 0.013 0.271 0.787 -0.023 0.030
chas 2.8400 0.870 3.264 0.001 1.131 4.549
crim -0.1214 0.033 -3.678 0.000 -0.186 -0.057
dis -1.4908 0.202 -7.394 0.000 -1.887 -1.095
indus 0.0135 0.062 0.217 0.829 -0.109 0.136
lstat -0.5520 0.051 -10.897 0.000 -0.652 -0.452
nox -18.7580 3.851 -4.870 0.000 -26.325 -11.191
ptratio -0.9375 0.132 -7.091 0.000 -1.197 -0.678
rad 0.2894 0.067 4.325 0.000 0.158 0.421
rm 3.6581 0.420 8.705 0.000 2.832 4.484
tax -0.0127 0.004 -3.337 0.001 -0.020 -0.005
zn 0.0470 0.014 3.384 0.001 0.020 0.074
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Omnibus: 171.096 Durbin-Watson: 1.077
Prob(Omnibus): 0.000 Jarque-Bera (JB): 709.937
Skew: 1.477 Prob(JB): 6.90e-155
Kurtosis: 7.995 Cond. No. 1.17e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.17e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.734\n", + "Model: OLS Adj. R-squared: 0.728\n", + "Method: Least Squares F-statistic: 113.5\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.23e-133\n", + "Time: 22:29:05 Log-Likelihood: -1504.9\n", + "No. Observations: 506 AIC: 3036.\n", + "Df Residuals: 493 BIC: 3091.\n", + "Df Model: 12 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 41.6173 4.936 8.431 0.000 31.919 51.316\n", + "age 0.0036 0.013 0.271 0.787 -0.023 0.030\n", + "chas 2.8400 0.870 3.264 0.001 1.131 4.549\n", + "crim -0.1214 0.033 -3.678 0.000 -0.186 -0.057\n", + "dis -1.4908 0.202 -7.394 0.000 -1.887 -1.095\n", + "indus 0.0135 0.062 0.217 0.829 -0.109 0.136\n", + "lstat -0.5520 0.051 -10.897 0.000 -0.652 -0.452\n", + "nox -18.7580 3.851 -4.870 0.000 -26.325 -11.191\n", + "ptratio -0.9375 0.132 -7.091 0.000 -1.197 -0.678\n", + "rad 0.2894 0.067 4.325 0.000 0.158 0.421\n", + "rm 3.6581 0.420 8.705 0.000 2.832 4.484\n", + "tax -0.0127 0.004 -3.337 0.001 -0.020 -0.005\n", + "zn 0.0470 0.014 3.384 0.001 0.020 0.074\n", + "==============================================================================\n", + "Omnibus: 171.096 Durbin-Watson: 1.077\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 709.937\n", + "Skew: 1.477 Prob(JB): 6.90e-155\n", + "Kurtosis: 7.995 Cond. No. 1.17e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.17e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"medv ~ \" + \" + \".join(boston.columns.difference([\"medv\"])), data=boston).fit()\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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VIF3.091.071.773.953.992.874.371.87.451.919.02.3
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" + ], + "text/plain": [ + " age chas crim dis indus lstat nox ptratio rad rm tax zn\n", + "VIF 3.09 1.07 1.77 3.95 3.99 2.87 4.37 1.8 7.45 1.91 9.0 2.3" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "linear_regression.variance_inflation_factors(model).to_frame().transpose().round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.734
Model: OLS Adj. R-squared: 0.728
Method: Least Squares F-statistic: 124.1
Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.03e-134
Time: 22:33:49 Log-Likelihood: -1504.9
No. Observations: 506 AIC: 3034.
Df Residuals: 494 BIC: 3085.
Df Model: 11
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 41.5251 4.920 8.441 0.000 31.859 51.191
chas 2.8528 0.868 3.287 0.001 1.148 4.558
crim -0.1214 0.033 -3.683 0.000 -0.186 -0.057
dis -1.5068 0.193 -7.825 0.000 -1.885 -1.128
indus 0.0135 0.062 0.217 0.829 -0.109 0.135
lstat -0.5474 0.048 -11.483 0.000 -0.641 -0.454
nox -18.4851 3.714 -4.978 0.000 -25.782 -11.188
ptratio -0.9346 0.132 -7.099 0.000 -1.193 -0.676
rad 0.2879 0.067 4.322 0.000 0.157 0.419
rm 3.6811 0.411 8.951 0.000 2.873 4.489
tax -0.0127 0.004 -3.333 0.001 -0.020 -0.005
zn 0.0465 0.014 3.379 0.001 0.019 0.074
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Omnibus: 172.506 Durbin-Watson: 1.073
Prob(Omnibus): 0.000 Jarque-Bera (JB): 724.941
Skew: 1.485 Prob(JB): 3.81e-158
Kurtosis: 8.056 Cond. No. 1.15e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.15e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.734\n", + "Model: OLS Adj. R-squared: 0.728\n", + "Method: Least Squares F-statistic: 124.1\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.03e-134\n", + "Time: 22:33:49 Log-Likelihood: -1504.9\n", + "No. Observations: 506 AIC: 3034.\n", + "Df Residuals: 494 BIC: 3085.\n", + "Df Model: 11 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 41.5251 4.920 8.441 0.000 31.859 51.191\n", + "chas 2.8528 0.868 3.287 0.001 1.148 4.558\n", + "crim -0.1214 0.033 -3.683 0.000 -0.186 -0.057\n", + "dis -1.5068 0.193 -7.825 0.000 -1.885 -1.128\n", + "indus 0.0135 0.062 0.217 0.829 -0.109 0.135\n", + "lstat -0.5474 0.048 -11.483 0.000 -0.641 -0.454\n", + "nox -18.4851 3.714 -4.978 0.000 -25.782 -11.188\n", + "ptratio -0.9346 0.132 -7.099 0.000 -1.193 -0.676\n", + "rad 0.2879 0.067 4.322 0.000 0.157 0.419\n", + "rm 3.6811 0.411 8.951 0.000 2.873 4.489\n", + "tax -0.0127 0.004 -3.333 0.001 -0.020 -0.005\n", + "zn 0.0465 0.014 3.379 0.001 0.019 0.074\n", + "==============================================================================\n", + "Omnibus: 172.506 Durbin-Watson: 1.073\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 724.941\n", + "Skew: 1.485 Prob(JB): 3.81e-158\n", + "Kurtosis: 8.056 Cond. No. 1.15e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.15e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"medv ~ \" + \" + \".join(boston.columns.difference([\"medv\", \"age\"])), data=boston).fit()\n", + "model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.4 Interaction Terms" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.556
Model: OLS Adj. R-squared: 0.553
Method: Least Squares F-statistic: 209.3
Date: Tue, 14 Sep 2021 Prob (F-statistic): 4.86e-88
Time: 22:35:32 Log-Likelihood: -1635.0
No. Observations: 506 AIC: 3278.
Df Residuals: 502 BIC: 3295.
Df Model: 3
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 36.0885 1.470 24.553 0.000 33.201 38.976
lstat -1.3921 0.167 -8.313 0.000 -1.721 -1.063
age -0.0007 0.020 -0.036 0.971 -0.040 0.038
lstat:age 0.0042 0.002 2.244 0.025 0.001 0.008
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Omnibus: 135.601 Durbin-Watson: 0.965
Prob(Omnibus): 0.000 Jarque-Bera (JB): 296.955
Skew: 1.417 Prob(JB): 3.29e-65
Kurtosis: 5.461 Cond. No. 6.88e+03


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 6.88e+03. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.556\n", + "Model: OLS Adj. R-squared: 0.553\n", + "Method: Least Squares F-statistic: 209.3\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 4.86e-88\n", + "Time: 22:35:32 Log-Likelihood: -1635.0\n", + "No. Observations: 506 AIC: 3278.\n", + "Df Residuals: 502 BIC: 3295.\n", + "Df Model: 3 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 36.0885 1.470 24.553 0.000 33.201 38.976\n", + "lstat -1.3921 0.167 -8.313 0.000 -1.721 -1.063\n", + "age -0.0007 0.020 -0.036 0.971 -0.040 0.038\n", + "lstat:age 0.0042 0.002 2.244 0.025 0.001 0.008\n", + "==============================================================================\n", + "Omnibus: 135.601 Durbin-Watson: 0.965\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 296.955\n", + "Skew: 1.417 Prob(JB): 3.29e-65\n", + "Kurtosis: 5.461 Cond. No. 6.88e+03\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 6.88e+03. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "smf.ols(\"medv ~ lstat * age\", data=boston).fit().summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.5 Non-linear Transformations of the Predictors" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.641
Model: OLS Adj. R-squared: 0.639
Method: Least Squares F-statistic: 448.5
Date: Tue, 14 Sep 2021 Prob (F-statistic): 1.56e-112
Time: 22:42:03 Log-Likelihood: -1581.3
No. Observations: 506 AIC: 3169.
Df Residuals: 503 BIC: 3181.
Df Model: 2
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 42.8620 0.872 49.149 0.000 41.149 44.575
lstat -2.3328 0.124 -18.843 0.000 -2.576 -2.090
I(lstat ** 2) 0.0435 0.004 11.628 0.000 0.036 0.051
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Omnibus: 107.006 Durbin-Watson: 0.921
Prob(Omnibus): 0.000 Jarque-Bera (JB): 228.388
Skew: 1.128 Prob(JB): 2.55e-50
Kurtosis: 5.397 Cond. No. 1.13e+03


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.13e+03. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.641\n", + "Model: OLS Adj. R-squared: 0.639\n", + "Method: Least Squares F-statistic: 448.5\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 1.56e-112\n", + "Time: 22:42:03 Log-Likelihood: -1581.3\n", + "No. Observations: 506 AIC: 3169.\n", + "Df Residuals: 503 BIC: 3181.\n", + "Df Model: 2 \n", + "Covariance Type: nonrobust \n", + "=================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "---------------------------------------------------------------------------------\n", + "Intercept 42.8620 0.872 49.149 0.000 41.149 44.575\n", + "lstat -2.3328 0.124 -18.843 0.000 -2.576 -2.090\n", + "I(lstat ** 2) 0.0435 0.004 11.628 0.000 0.036 0.051\n", + "==============================================================================\n", + "Omnibus: 107.006 Durbin-Watson: 0.921\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 228.388\n", + "Skew: 1.128 Prob(JB): 2.55e-50\n", + "Kurtosis: 5.397 Cond. No. 1.13e+03\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.13e+03. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "smf.ols(\"medv ~ lstat + I(lstat**2)\", data=boston).fit().summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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df_residssrdf_diffss_diffFPr(>F)
0504.019472.00.0NaNNaNNaN
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\n", + "
" + ], + "text/plain": [ + " df_resid ssr df_diff ss_diff F Pr(>F)\n", + "0 504.0 19472.0 0.0 NaN NaN NaN\n", + "1 503.0 15347.0 1.0 4125.0 135.0 0.0" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_1 = smf.ols(\"medv ~ lstat\", data=boston).fit()\n", + "model_2 = smf.ols(\"medv ~ lstat + I(lstat**2)\", data=boston).fit()\n", + "sm.stats.anova_lm(model_1, model_2).round(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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NmsU111yD3+8HoKysjIEDB/Lcc8+xe/duHnzwQbZs2cI999zDLbfcEuU9aAGVlTBpEqxeDa+/Dldf3aiXi6BaEARBEAShjbHb7bz22mvEx8ejKArXXHMNo0eP5s0334w8584772TcuHEAJCcn89vf/pZly5ZFa8gtq6ICJk6E9evhv/8166kb6bTuUy0IgiAIgiA0niRJxMfHA+aiTKqqItXqw+zz+Vi9ejUXX3wxAGlpaQwcOBCr9QzMx5aVwbhx8P338L//nVJADSKoFgRBEARBaJM0TWP69OmMGjWKUaNGMWjQoMhjS5cuZeTIkbjd7iiOsBUUF8NFF8HWrbBoEUybdsqbEkG1IAiCIAhCG+AJKqze4WfxuipW7/BTpegsWrSIFStWsGnTJnbs2BF57ocffsjkyZOjONpWUFBgBtS7dsGHH5rlH01wBubwBUEQBEEQhNo8QYXPvgyzc4MDpdqCLU4jb3CI8edDcmIiI0aMYNWqVfTq1Yvy8nJ++OEHnn322WgPu+Xk58PYsebfn3wCY8Y0eZMiqBYEQRAEQTjDHN3do//Qi0hy380ni25AUfwYhkbojQreGziAf839Bx988AGKorBw4UKqq6sZPHgwDocj2rvRMvbvNwPqkhL49FM477xm2awIqgVBEARBEM4wR3f3mDz9x/TqPo6LLza7e1RUbGPZsuvYvXMrP/rRjxg6dCj33XcfSUlJTJ06lX379tXZXklJCVdccQU+nw9Zlnnttdf4+OOPT7+a6z17zIDa64WlS2H48GbbtAiqBUEQBEEQzjBHd/fA0LA6jcjjbndHJEnir8+/w0VnZ9V57euvv86UKVPq3JeRkcHKlStbfuAtaedOM6CurjZXSxwypFk3LyYqCoIgCIIgnIFqd/cYPXoUoyb0xhavgmRQUPIpPfoNY3Cf1GNe98477zB69OgojLgF5ebC6NEQCsEXXzR7QA0iqBYEQRAEQTgjWSyWSHeP7Vs30z1rP+Omhzh3io/Kqg+5/vopJDttdV6zevVq3nnnHWbPnh2lUbeAH344MhFx+XIYOLBF3kYE1YIgCIIgCGeAo1vmeYIKAImHu3t8/+03nNsrnuFdFQ7s2crkS8bVef22bdt46KGHeO6550hJSYnGLjS/DRvMtnl2O6xYAf36tdhbiZpqQeDYWdITJkxg1qxZXHPNNfj9fgDKysoYOHAgzz33HO+//z4vvfQSAPHx8TzyyCP06dMnmrsgCIIgtGFHt8zTpBK2n13F9PFpONH4+uuv+fnPfw7Ap59+yoUXXlinu8ehQ4e48847+dvf/kbXrl2jtRvNa+1aGD8eEhPh88+he/cWfTsRVAsCx86Svuaaaxg9ejRvvvlm5Dl33nkn48aZZ/UdO3bk9ddfJykpiRUrVvDwww+zYMGCaA1fEARBaOO25R0OqP1maFdZXs7zf/kN855VcdkkJk6cyEUXXQTAxx9/HAmwazz77LN4PB7+8Ic/AGbpyLvvvtu6O9Gcvv4aLr0U0tLMGurOnVv8LUVQLQgcO0taVVUkSYo87vP5WL16NY899hgAQ2pNcDj77LMpLCxs3QELgiAIQi2eKh2l2hK5nZLSh4kTFnLuFB8Tz0mo89z58+cf8/o5c+YwZ86cFh9nq1i5EiZNgvbtzQx1x46t8raiploQDqs9S3rUqFEMGjQo8tjSpUsZOXJkvf04z8hZ0oIgCMJpJTlBxhan1bnPFqeRnNDGQr1ly8zlxnNyzBrqVgqoQQTVghBRe5b0pk2b2LFjR+SxDz/8kMmTJx/zmjNylrQgCIJw2umTY6fn4FCkZZ4tXqXn4BB9cuzRHlrrWbwYpkyBHj3MLh/Z2a369qL8Q2izcgu8LN5cRL4nQIdkFxMHZNE3OykyS3rVqlX06tWL8vJyfvjhB5599tk6r6+ZJf3SSy+dObOkBUEQhNNSstPG+PMhJyeEp0onOUGmT479mJZ5Z6wPPoAf/Qj694clS8xa6lYmgmqhTcot8DJ35V6SXDayk5wUlZTy7Kcl/HLCALqmOI47S7qmS4jf7+fAgQNMnTqVrl27HrdLyNKlS/nHP/6BLMtYLBYefPBBhg4dGs1dFwRBEM5QyU4b5/ZqI0F0be++Cz/+MQweDJ9+ClFKdImgWmiTFm8uIsllI8llfvlYw1Wsfe1Jbn7NIC3edtxZ0jVdQv785z9TUlLCxx9/zLp163C73SxatAio2yVk5MiRjBs3DkmS2LZtG3fffTeLFy+Owh4LgiAIwhnorbfguutgxAj4+GNISoraUERQLbRJ+Z4A2UnOyO20Dl256oF/UOAN8viVg+o8t/Ys6ZouIXPmzOGhhx7immuu4ZFHHolMajy6S0hNRxGAQCBQp6OIIAiCIAhNMG8e3HQTnH8+fPghJCSc/DUtSATVQpvUIdmFN6BEMtUAVUGVDsmuk75W0zRmzJhBXl4e11xzzUm7hCxZsoQnnniC8vJyXnzxxebdEUEQBEFoi155BX7+cxg7FhYtglpJrGgR3T+ENmnigCy8AQVvQEE3jMi/Jw7IOulrG9sl5JJLLmHx4sU8++yz/OMf/2j2fREEQRDaroKCAq6//nomTZrE5MmTee211yKPzZ8/n4kTJzJ58mT+9re/AfD+++8zffr0yJ8+ffqQm5sbreGfmuefh5/9DCZMMCcoxkBADSJTLbRRfbOTmDm6a53uHz8e1pG+2cfWYjW1S0iNYcOGceDAAcrLy0lNTW3pXRQEQRDaAIvFwv3330///v3x+XxcccUVnHfeeZSWlrJs2TLef/997HY7ZWVlAEybNo1p06YBsH37dn75y1/St2/faO5C4/zjH3D33TB1KixYALWWWo82EVQLbVbf7KR6g+jaTrVLSI39+/eTk5ODJEls2bKFcDgs2u8JgiAIzSYzM5PMzEwA3G433bp1o6ioiLfffpuZM2dit5t9qtPqaTH30Ucf1bsGQ8z629/gN7+BK66AN98Ee2z14BZBtSCcwKl2Canx6aefsmjRIqxWK06nkyeffFJMVhQEQRBaxMGDB8nNzWXQoEH87W9/47vvvuPJJ5/E4XBw3333MXDgwDrP//jjj3nuueeiNNpG+tOf4He/g5/8BObPB2vshbCxNyJBiCGn2iWkxsyZM5k5c2aLj1MQYommaVxxxRVkZWWJybmC0EI8QYVteeHIQi856SqzZs3iwQcfxO12o2kaXq+Xt99+mx9++IG7776bZcuWRRI7GzduxOVy0atXryjvyUkYhhlMP/oo3HADvPoqWCzRHlW9RFAtCCfQlC4hgtBWzZs3j+7du+Pz+aI9FEE4I3mCCp99GWbnBgdKtQWLM8jqb2YxedIkxo8fD0BWVhaXXHIJkiQxcOBAZFmmoqIiMqfntCj9MAy4/36z7ONnP4MXXwQ5dntsxO7IBCEGNKVLiCC0RYWFhSxfvpwf/ehH0R6KIJyxtuUdDqj9Vgwdvvz899jkHgy58OrIcy6++GLWrFkDwN69e1EUJTKnR9d1Pvnkk9gOqg0D7rnHDKhvuy3mA2oQmWpBOKHGdAkRBAH+/Oc/c++99+L3+6M9FEE4Y3mqdJRqswSitHQd+/YtIim5Fw/e8RMSXDK/+tWvuOKKK3jwwQeZMmUKNpuNv/zlL5HSj7Vr15KdnU2nTp2iuRvHp+twxx1m67y774a//x1Og/lIIqgWhJNoSJcQQRDgiy++IDU1lQEDBkQyZIIgNL/kBBlbnIbit5KRMZSrr96OLV5l3PQQ5/Y60rP58ccfr/f1I0aM4O23326t4TaOrsPMmebiLr/5DTz22GkRUIMIqgVBEIRmsn79ej7//HNWrlxJKBTC5/Mxe/bs4/5iFwTh1PTJsZM3OMTODaBUW7DFafQcHKJPTmy1mGs0TYObbzaXH3/4YfjDH06bgBpEUC0IMaWgoID77ruPsrIyJEniqquu4sYbbwTM7iJvvPEGFouFMWPGcN9996EoCg899BBbt25FVVUuu+wybr311ijvhdBW/frXv+bXv/41AGvWrOHVV18VAbUgtIBkp43x50NOTijS/aNPjp1kp+3kL45VimJ293jrLbN93kMPRXtEjSaCakGIIY1dGWvx4sWEw2E++OADAoEAkydPZvLkyXTs2DHKeyIIgiC0pGSnjXN7ncZBdG3hMFx9Nbz7rjkx8d57oz2iUyKCakGIIY1dGUuSJAKBAKqqEgwGsdlsuN3uqI1fEGqMGDGCESNGRHsYgiDEulAIrrwSPvgAnnoK7ror2iM6ZbHdm0QQ2rDaK2Pt27eP7777jiuvvJLrrruOTZs2ATBhwgRcLhfnn38+F110ETfffDPJycnRHbggCIIgNEQgAJddZgbUzz9/WgfUIDLVghCT/H5/g1bG2rRpE7Iss2rVKiorK7nmmmsYNWpU7LZJEgRBEAQAvx+mT4fPPzc7fdx8c7RH1GQiqBaEKMst8Nbpg31xnzSeeuQ+pk6detKVsT788EMuuOACbDYbaWlpDBkyhB9++EEE1YIgCELsqqqCKVPgyy/htdfg+uujPaJmIco/BCGKcgu8zF25F29AITvJiac6zF2//g3JWR256aabIs873spY2dnZkfurq6vZuHEj3bp1i8q+CIIgCMJJeb0wYQJ89RW8+eYZE1CDyFQLQlQt3lxEkstGksucwR0o2En+xlUESrowffp0gBOujHXttdfywAMPMHnyZAzDYMaMGfTp0yeauyQIgiAI9auoMAPq77+Ht9+GGTOiPaJmJYJqQYiifE+A7CRn5HZ29/7MfPp9CrxBHr9yUJ3n1tfvNz4+nn/+858tPk5BEARBaJLSUhg/HrZsgf/9D6ZOjfaImp0o/xCEKOqQ7KIqqNa5ryqo0iHZFaURCYIgCEIzKy6GsWMhNxcWLTojA2oQQbUgRNXEAVl4AwregIJuGJF/TxyQFe2hCYIgCELTFRTAhRfCrl3w4YcwcWK0R9RiRFAtCFHUNzuJmaO7kuSyUeANkuSyMXN0V/pmJ0V7aIIgCILQNAcPwpgxcOAALF4M48ZFe0QtStRUC0KU9c1OEkG0IAiCcGbZt88s+Sgrg88+g5Ejoz2iFieCakEQBEEQBKH57N5tBtSVlbB0KQwbFu0RtQoRVAuCIAiCIAjNY/t2s8wjGDRXSxw8ONojajUiqBYEQRAEQRCabutWM0NtGPDFF3DWWdEeUasSExUFQRAEQRCEptm0yezyIcuwfHmbC6ghRoLqgoICrr/+eiZNmsTkyZN57bXXAPB4PNx0002MHz+em266Ca/XG+WRCoIgCIIgCHWsXw8XXQQOB6xYAX37RntEURETQbXFYuH+++/n448/5r///S9vvvkmu3btYu7cuYwcOZLPPvuMkSNHMnfu3GgPVRAEQRAEQajx7bdmDXVCAqxcCT17RntEURMTQXVmZib9+/cHwO12061bN4qKili2bBmXXXYZAJdddhlLly6N4igFQRAEQRCEiK++gosvhtRUM0PdtWu0RxRVMTdR8eDBg+Tm5jJo0CDKysrIzMwEICMjg7KysiiPThAEQRAEofV5ggrb8sJ4qnSSE2T65NhJdtqiN6Dly2HKFOjQwezy0aFD9MYSI2IqqPb7/cyaNYsHH3wQt9td5zFJkpAkKUojEwRBEARBiA5PUOGzL8Ps3OBAqbZgi9PIGxxi/PlEJ7BeuhSmTTMz08uWQbt2rT+GGBQT5R8AiqIwa9Yspk6dyvjx4wFIS0ujuLgYgOLiYlJTU6M5REEQBEEQhFbjCSqs3uHnw9VVrPpcpsorgSGh+K3s3OBgW1649Qf1ySdmhrpnTzNbLQLqiJgIqg3D4Le//S3dunXjpptuitw/duxYFi5cCMDChQsZd4avGS8IgiAIggBHstPLFjk4sMvG1u/s7M7TCKoaAEq1BU+V3rqDev99uOwy6N/fLPnIyGjd949xMRFUr1u3jkWLFrF69WqmT5/O9OnTWbFiBTNnzuSrr75i/PjxfP3118ycOTPaQxUEQRAEQWhx2/IOl3v4raDJxCcYlBVYKfWaQbUtTiM5oRXDuHfegSuugLPPNks+0tJa771PEzFRUz106FC2b99e72M1PasFQRAEQRDaCk+VjlJtMW/47QwYFWLz13aCYR1bvErPwSH65NhbZzBvvgk33ADnngsffwyJia3zvqeZmAiqBUEQBEEQhCOSE2RscRqK30qo0kZCIpw/JUi7ziq9Otpbr/vHa6/BzTfD6NHwwQdwVCMJ4QgRVAuCIAiCIMSYPjl28gaH2LnBrJ/WNYnunWTGj3K3XsePl1+GmTPNxV0WLYK4uNZ539OUCKoFoQ3JLfCyeHMR+Z4AHZJdTByQRd/spGgPSxAEQTisdj/qdp0MMttXEwxIrd+b+tln4Y474NJL4d13welsnfc9jYmgWhDaiNwCL3NX7iXJZSM7yYk3oDB35V5mju4qAmtBEIQYUF8/6p6DQ4w/v5UXennySfjVr2D6dPjvf8HhaL33Po2JoFoQ2ojFm4tIctlIcplfzDV/L95c1KCgWmS5hYYIhUJce+21hMNhNE1jwoQJzJo1K9rDEoSY5wkqLF3vY+liB3pIJz1JAr+VnRsgJyfEub1aKaj+61/h/vvhRz8yJyjaorhq42kmJlrqCYLQ8vI9ARKcdc+jE5xW8j2Bk762JsvtDSh1sty5Bd6WGq5wmrLb7bz22mu8//77LFy4kFWrVvH9999He1iCENNqMtS7dsjsXOdkzzZrpCd1q/aj/tOfzID6mmvgP/8RAXUjiaBaENqIDskuqoJqnfuqgiodkl0nfW3tLLcsSZF/L95c1FLDFU5TkiQRHx8PgKqqqKqKJElRHpUgxLaantRGyEpCqo6uyJGe1K3Sj9ow4KGH4He/gxtvhHnzwCqKGRpLBNWC0EZMHJCFN6DgDSjohhH598QBWSd9bVOy3ELbo2ka06dPZ9SoUYwaNYpBgwZFe0iCENMiPakP96NOTFMxVJAdrdCP2jDgvvtgzhz4+c/h1VfBYmm59zuDiaBaENqIvtlJzBzdlSSXjQJvkCSXrcGTFJuS5RbaHovFwqJFi1ixYgWbNm1ix44d0R6SIMS0mp7UoUobCZKdkeNDTLixivEzWniSomHA3XfD44/DL38JL7wAsggNT5XI7QtCG9I3O+mUJhdOHJDF3JV7ATNDXRVU8QYUfjys4zHPFRMahRqJiYmMGDGCVatW0atXr2gPRxBiVu2e1KEqKzZNoudguHhICwbUun4kkP7Vr8zAWpRqNYk4HREE4aQamuUWExqF8vJyKisrAQgGg3z99dd069YtyqMShNiW7LQx/nw746aHOHeKj3HTWzhDrWlmqccLL5gTE0VA3SxEploQhAZpSJb76LZ9iqaxp8THr97eyPh+7UTWug0oLi7m/vvvR9M0DMNg4sSJXHTRRdEeliDEvGSnrXXa5qkq3HQTvP46/P735h8RUDcLEVQLgtBs8j0BspPMVbdKfUHW7fdgt0hgIBabaSP69OnDwoULoz0MQRDqoyhw3XXw9tvmxMQHH4z2iM4oovxDEIRmU3tC465iPw6rjCRJJBzOXos2fIIgCFESDsOPf2wG1I8/LgLqFiAy1YIgNJvaExq9gTAOi0xIM+jfPhEQbfgEQRBqeIIK2/LClPkUAkEDm1UmK9lKn5wWqKUOBs0VEj/6CP75T7jzzubdvgCIoFoQhGZUM6Fx8eYiZEkGSWJIThIZCWZJiGjDJwiCcGQFxf07LVRUG2xZ68Dh0OnTVyJvaJjx59N8gXUgAJddBp99Zk5MvPXW5tmucAwRVAuC0KxqJjTWZK3tVgu6YZywDZ8gCEJb8v2eAKs+t+FMDbPuCyfhKgt2h4VDiSoOi4OcnFDzTFr0+2HqVFi+3FzU5aabmr5N4bhETbUgCC2iKYvNCIIgnKk8QYWtuzW2fmcnFJTYt91KudcgHIJgyECptuCp0pv+RlVVcOmlsGKFuey4CKhbnMhUC4LQYk51sRlBEIQz1ba8ML5SK/EJBiG/THKaTkWJhXCiitMhYYvTSE5oYs7T64WJE2HtWvjPf+Cqq5pn8MIJiUy1IAiCIAhCK/AEFXYcDLN3p0y3c6qpqpAZPCZIVieF1HYq7TtAz8Eh+uTYT/1Nysvh4oth3TpYsEAE1K1IZKoFQYg5uQVeXv9mPxsOeDEwGNwpmetHdhZZb0EQTlsHvAHeXxbiUL7E9o1WklKtdO0fol0nnX7nhEnLgD4dHU3r/lFaCpdcAlu3wrvvwpQpzbsTwgmJoFoQhJiSW+Dl8U93sLfUj9thQUJizZ5yCrxB7pvYWwTWgiCcVjxBhU37A6zbovDx/HjiHBJdByhsW2enojCOs4YpXDBWZ/yoJrbSKyqCceNg92744AMYP775dkJoEBFUC0IMyS3wsnhzEfmeAB2SXW1yWe/Fm4so9YVIcFpx2izmnZJEuT/M4s1Fbe54CIJwevIEFdbt87P2O53yMolgwMLOH2zExZuPn3VumPRslT79dcafm9C0gPrQITOgzssze1GPHds8OyE0iqipFoQYkVvgZe7KvXgDCtlJzsiy3rkF3mgPrVXlewKEVA2H9cjXk8MqE1Z1sXCMIAinBU9Q4dPVAdZ8q7PwJTdlBRYO7bPgcOv4qyQO7LGy7ct4ivfa6dHe0bSA+sABGDMGDh6ExYtFQB1FIqgWhBixeHNRZClvWZLa7LLeHZJdOKwWQuqRllIhVcdulcXCMYIgxDRPUGHl9kreXuVh7QaN/AMy+3dbqPJaKNhnZeDIEAkpGpquk9ROZdCocNMmJe7bZwbUxcXm4i4XXNBs+yI0nij/EIQYke8JkJ3krHNfW1zWe+KALDbne9lb6scwDCTAF9LISYtj4oCsyPNEqYwgCLHkgDfAR6sC5O2XkG0WSgtkyktkHPE62zZY6TNYofighWEXB8jprpPTyWD8KOepZ6l37TKz0j4fLFsGQ4c27w4JjSaCakGIER2SXXgDCkmuI1+wbXFZ777ZScye0KtO948R3VLrdP+oKZXRNJ3CyiDf53n4dHMhd47rzuSBHaK8B4IgtDWeoMJnXwfJ3WjF64FQGHQNDu23cvb5ITZ+7WDPVivDx4Xo2V9lcF8bZ3dznXpAvW2bWUMdDsPnn8PZZzfn7ginSATVghAjapb1BjND3ZaX9e6bncScGQOP+/jizUVoms6OYh8Oq4zDKlFUGeLB97bw1a4y0X6vEbxeLwUFBfTp0yfaQxGE09a2vDAlRTIYEhYLbPrKwbBxAbr3U9i/3caIcQFyeml072Ew6bw4OiU1IVmyZYsZUAN88QUMGNA8OyE0mQiqBSFG1CzrXbuk4cfDOraJ4LB2KYfDImEAYc04bllHvidAYWUQh1VG0w0KK0NYZVB1gy2HKpm7cq9YEv0Err/+ep5//nlUVWXGjBmkpaUxZMgQHnjggWgPTRBOS54qHSNsxTB0NA1Cfpm1S1yce2k1l1wZwBVn0L2bxIQhTezysXGjubCLzWZmqMXJcEwRQXUzEfWdQnNoi8t615RyJLls2CzwzZ5yJGBY15RIB5SjA+QOyS6+z/OQGm/joCeAVZYAiLNbUDSDCl+QW177DptFJivRyY0jc0RZSC1VVVW43W4WLFjAZZddxqxZs5g6dWq0hyUIpy2ny8BTYeBK1JDsMPLSar793MWaT10MPldj/FSVCUOaUO4B5gqJl1wC8fFmQN2zZ/PtgNAsRPePZiBaoQnCqavd9WRPSTUJTitup5U9pdXH7YAycUAWVlmiMqgSVnQMDFTdIMFpI6yqrM/z4AuqxNtl9hT7uPedH7h9/nfi/+RhmqZRXFzMJ598woUXXhjt4QjCae2AN8C2PSohQ2P3JhsWGQaOCnHbHz3c/ZiPW25XmTqmiQH16tVmyUdSEqxcKQLqGCWC6mYgWqEJwqnL9wRIcJoXzSqDyuEaaRlfUAXq74DSNzuJO8d1B0AzDDAg3W1HkiS8ARVZNrdRVBnGIku4bDLr8jziZPew22+/nVtuuYWcnBwGDhzIgQMH6NKlS7SHJQinnZoJip+8nkDeJhfp2QZWq4TidTCkt4OfXZLGhf0SmxZQf/mlmaFOT4cVK6Br1+bbAaFZifKPZiBaoQnCqavd9STRaSOoaAC4Dwfax+uAMnlgB7pluHn9m/2s2lWG02ahb3YCH20qxGYxy0GssoTVIiFLMtWKFjnZbWslNke79NJLufTSSyO3O3XqxNNPPx3FEQnC6almgmJlkRXDkCg/ZEe26XTrqzDk7HDT32D5cpg8GTp1MtvmdRBlbLFMBNXNQLRCE4RTV7vrSbeMONbsqUAC+mYn4A0oJ+yAUtMlpPachgSXFYdFpiqkYjlca61oBm6Htc2f7P7pT39CkqTjPv7QQw+14mgE4fTnqdJRgjJSnEJZoYzVIhHnlJDtGskJTSwGWLIEpk83M9PLlkG7ds0zaKHFiKC6GdTXCu1AeTXhRAezF2wUExcF4QTqdj1RGdktNdL9I8lla1AHlNoTPD/alM9fPtkOBqiahm5IhDWd4V1T2vzJ7gDReksQmpXTZVBUINN1QBhPqQNPmUxi7zADzg3RJ8d96hv++GOYMcPs7rFkCWRkNN+ghRYjgupmcHQrNIdFQjcM7FYLaW7rcTsYRIPoUiLEoubselLT5eP55XvYW+rH7bAyqksqmYmuNtv3u8bll18e7SEIwhlFNXQc8QYH91sZNDpISqZOepZG/wHyqddRL1wIV10FAweaS4+npjbrmIWWI4LqZlI7KHhyyQ5sVkukHKTm72jXctZuXVa7S0ksBPuC0JwmD+zA5IEd6pxENjTr3RaUl5fz0ksvsWvXLkKhUOT+efPmRXFUgnB6OeAN8MM2jS3fuWjXWSMh2QBNIlwch+JXTm2jCxbANdeYS45/8gkkJzfrmIWWJYLqFhCrExdrdymB2An2BaGltMW+3w0xe/ZsLr30UpYvX84f/vAH3nvvPVJFNkwQGqym68e+bTaK99vY/p0LV4JORgYMHB4+tXrqN9+E66+HUaPgo48gMbH5By60KNFSrwV0SHZRdbgdWI1YqOWs3bqsRiwE+4IA5pWUJ5fsYPaCjTy5ZIdofdeCPB4PV155JVarleHDh/PYY4+xevXqaA9LEE4b3+8JkHdAYstaG/3PC5GUoRL0S1gcKt0GheiTY2/cBv/9b7juOhgzxsxQi4D6tCQy1S2gvomLsVDLKbqUxBZR336EKE1qXVar+dWfmZnJ8uXLyczMxOsVJzGC0BCeoMLmXSoH91o5tN+Kp1xmwMggKWkGick655zdyHrquXPh1lvNXtQLF0JcXIuNXWhZIlPdAmomLia5bBR4gyS5bDERHEwckBVpUaYbRuTfEwdkRXVcbZFYhbMusYBS67rtttuoqqriN7/5Da+88goPPfQQDzzwQLSHJQinhe/3BDi4R+bgThtnjQzhKZVZ9j8XuevstO8AAzs3IlH1zDNmQD15Mrz/vgioT3NtPlPdUtnCWKzlPLpLSYdkl5i4FSWivr2uWJ2HcKa66KKLAEhISGD+/PnNtt2CggLuu+8+ysrKkCSJq666ihtvvLHZti8IsWBvgcoPq51kdFQ5tNfKOReGSM3S6NpPYdq4+IZnqf/+d/j1r+Gyy+C//wV7I0tGhJjTpoPqtnjJORaD/bZIBJF1idKk1nW8rPRjjz3WpO1aLBbuv/9++vfvj8/n44orruC8886jR48eTdquIMQKT1DBV61TmGejrMBKlwEKiak6VlmifTvolNTA76zHHoMHH4Qrr4Q33gBbE5YxF2JGmw6qRbZQgOjUNosgsq5YnYdQnzOhFv7CCy+M/DsUCrF06VIyMzObvN3MzMzIdtxuN926daOoqEgE1cIZ4/s9ASrLZAaNDvDtEhfffOwivZ3GhZdXk5PZgEyzYcAf/wiPPALXXmtOULS26VDsjNKmf5IiWyhE62rF6RREtobTpTTpTLm6NWHChDq3p0yZwjXXXNOs73Hw4EFyc3MZNGhQs25XEKKlZoLi14ud5PQNc85FARwuA4ddoksvjYGdE068AcOA3/7WzFL/9Kfw8stgsbTK2IXW0aaDapEtFKJ1teJ0CSJb0+lQmlTf56XCH+L3728lJzXutM1c79u3j7Kysmbbnt/vZ9asWTz44IO43U1YqlkQYkjNBMXC/UdKP1xulaQ0nUF9rSeupTYMmD3brKO+9VZ47jmQRa+IM02bDqpFtlCI5tWK0yGIbCmnawnF0Z+XUl+QbYVVaDqM6Jp62mSuBw8ejCRJGIaBJElkZGQwe/bsZtm2oijMmjWLqVOnMn78+GbZpiDEgrxCjd0b4jj7gjAbVjhY80kcqe1Urri9ioGd44//QsOAWbPMTh933gn/+AdIUusNXGg1bTqoFtlCQVytaH0NKaGI1aD76M/LrmI/kiSR6j7SChBif17Ghg0bWmS7hmHw29/+lm7dunHTTTe1yHsIQrTIskHIJ1Oh2Bk2NoQjXgfDIKezfvwsta7DbbeZvah//Wv4v/8TAfUZrE0H1dC2s4WCuFoRDScruYnluuWjPy+lvhA2WaZHxpEsVSzPy9iyZcsJH+/fv3+Ttr9u3ToWLVpEr169mD59OgC/+tWvGDNmTJO2KwixICfbysDRQTatdLFjdRwJqRoDRweOP0FR0+BnPzMnIz74IDz6qAioz3BtPqgW2jZxtaL1nazkJpa78hz9eUlzO2iX4CAj4cj+xPKVjr/85S8AhMNhNm/eTO/evQHYvn07AwYM4L///W+Ttj906FC2b9/e5HEKQizq2s5Gx+4BDFlDkiHOKdO9+3EWe1FVuPFGePNN+MMf4OGHRUDdBoigWmjzxNWK1nWykptY78pT+/NSe2XM0+FKR81CL3fccQfvvvtuJKjesWMHzzzzTDSHJggx7YA3wPvLQuzaasOZYJDgNshqpzFqsPPY0g9FMdvlLVgAf/4ziNVK24yYmHr6wAMPMHLkSKZMmRK5z+PxcNNNNzF+/HhuuukmvN62uXyzIJxpJg7IwhtQ8AYUdMOI/HvigCzADLqrgmqd18Rq9rcmc53kslHgDZLkssVEmcrJ7N27NxJQA/Tq1Yvdu3dHcUSCELs8QYWPvwqwcL6TZe+5WPaOi7XLnOzfGE9+kV73yaEQXHWVGVA/8YQIqNuYmMhUz5gxg+uuu47f/OY3kfvmzp3LyJEjmTlzJnPnzmXu3Lnce++9URylUFusTiQTYt/JSm5Otzr30/FKR+/evfntb3/LtGnTAPjggw/qBNmCIBzx/Z4A+/fK7P7Bjq5KVFVAOKSSlKzhqaoVVAeDcMUV8PHH8PTTcMcd0Ru0EBUxEVQPGzaMgwcP1rlv2bJlkUuVl112Gddff70IqmNELE8kixXipOPEThSINrXOXRz7k3vsscf4z3/+w7x58wDzO/jqq6+O8qgEITbtLVApOmjFmaBRUWzBZpXwllnQ5BDJCYcv+FdXw2WXwdKl8OKLMHNmVMcsREdMBNX1KSsriyx3m5GR0awLEwhNE8sTyWKBOOloulPN/opj3zAOh4Of/vSn/PSnP432UAQhpnmCCr5qnYO7bJw1MsS65Q4qK2S6dNHoPzxMn5wE8Plg6lRYsQJefdVcLVFok2I2qK5NkiQkMWs2ZsT6RLJoEycd0SOO/Ynddddd/OMf/2Dq1Kn1Pv7BBx+08ogEIbZtywuj+q107a2yd6uNoReFSclUaZejMWyoTHI4AJMmwTffwOuvwzXXRHvIQhTFbFCdlpZGcXExmZmZFBcXk5qaGu0hCYedKQumtFSZgDjpiB5x7E/st7/9LQAvvPBClEciCKeHIo/Knlwb7rQwnfrq2GxglSVSU2BosgLjp8K6dfDWW3DlldEerhBlMdH9oz5jx45l4cKFACxcuJBx48ZFd0BCxMm6N5wOardCq10mkFvQ9C4zp1P3ijONOPYnVlNSl5KSQnZ2Nh06dCAcDrNt27bIY4IgmGUfn+aWs+tgmNytsOIDF5UVMgbgcuucleklacqlsH49vPOOCKgFIEaC6l/96lf85Cc/Ye/evYwePZoFCxYwc+ZMvvrqK8aPH8/XX3/NzCgW/ecWeHlyyQ5mL9jIk0t2NEvgdTprrTZiLXnca5cJ1CwvneSysXhzUZO3fSacdJyuxLFvmOuuu45QKERRURG33HILixYt4v7774/2sAQhJniCCp+u9bP2O4O9uTZSMzUK91tY8o6L1YvjcFaUMfTmabB5MyxcCIdXDxWEmCj/+Pvf/17v/a+99lorj+RYzTHx6UzsRtDSbcRaesJZS5YJiFUam19D/w+JY98whmHgcrl45513uPrqq/n5z38eWVZcENq6bXlhDh7SKdhnpbJCZsNKBwNHhUnN1EjyFfGL56fhqtoHH3wAl1wS7eEKMSQmgupY1tSJT6Ibwalp6QlnLV0XXt9Jx5l4ctUaGvt/6HTsG93aDMNgw4YNfPDBB8yZMwcAXddP8ipBaBuKPCpBxaDggIzNblDtk1j6dhydrAdZok8hTTvI9pf/Rz8RUAtHiYnyj1iW7wmQ4Kx77tGYjGZLlhmcyZp63E+mtcsEWrKG+0wn/g81vwcffJAXX3yRiy++mJ49e3LgwAFGjBgR7WEJQtR5ggolFRrhEJQcsuBwGYy6NMDArD0sCV9EllbAF4+9S/urREAtHKtJmWpd16mursbtdjfXeGJOUzOaohvBydWXwW2NTHJrlgm0pVZvzZ2RF/+Hmt/w4cMZPnw4gYB5DDt16sRDDz0U5VEJQvRtywvjKZMJh3QGnRdiwyoHIzruZG71NFx2D2uf/x/nXnUhyU7byTcmtDmNzlT/+te/xufzUV1dzZQpU5g0aRIvv/xyS4wtJjQ1oym6EZzY8TK4vbLiWzyT3Dc7iXsu6cXjVw7inkt6tWhw29KZ91jREhl58X+o+W3YsIFJkyZx6aWXArBt2zYeeeSR6A5KEGLAvpIQ+fkGn/wnDkk2uGbsDzzyv0k4QlWsmfseF9xwiQioheNqdFC9a9cu3G43S5cuZfTo0SxbtoxFixa1xNhiQlM7XYhuBCd2vEv7O4r8rdJhpLW0lcCwJUo1Gvp/SHTpabg///nPvPLKKyQnJwPQp08fvvvuu+gOShCiyBNU+HhrKXmFGqVFFooPWlj5+yJm3Hc5qjfMXy77CMcwUSIlnFijyz9UVUVRFJYuXcp1112HzWY7I1Y7PNEl66ZMfGpImUFbnsB2okv7Z9KEs4kDspi7ci9g7l9VUMUbUPjxsI5RHlnzaolSjYb+HxITghsnOzu7zm1ZFlNshLbJE1T4cE0V+UUGhQcsgMGPh6/jwXemo0sS9479mP5Tu9Mnxx7toQoxrtFB9Y9//GPGjh1Lnz59GDZsGPn5+ad9TXVL/0I+USeILYe8HKwI0DvLTU5afNSDgdYO8M+U1RlPpq20eovWz3P+N/vZU+JD0QzcTis9MuIjGfIz7Rg3h+zsbNavX48kSSiKwrx58+jevXu0hyUIUbFmh59de3VURWb7BjsJmzfzx+2T0RPsvPjLhbTr1J2hg6yi7EM4qUanJm644QZWrVrFSy+9hCRJdOjQgXnz5rXE2FpNa3cXqF13WhlQANhe5KPcH4pqZ4NodKhoS+UxrVnDHS0t8fM82ecyt8DLl7vKwDBwOyyEFI31eR6CinrG1aw3l0ceeYQ33niDoqIiRo8eTW5uLr///e+jPSxBaHWeoMK2fSqqIuEtk8nc+T0v507Cq8RzbmAFb64YRFISDOx8ZiV6hJbR4Ez1v/71rxM+ftNNNzV5MNGQW+Dls62FYECCy0aPjHgyEpwtOomsdhDvC2kkOq2EVJ1dxX7S3S373g0dF7ROh4q2ksFtqtOlRKglfp4n+1wu3lxESpx5nyRJOG0WAHILqriwt1h6uz6pqak88cQTkdter5c333yT2267LYqjEoTWty0vjKpAqFrCsXI9f9t4OeWWNB669EMuODuTLr19TLvYKbLUQoM0OKj2+/0tOY6oqMmA2S0yhmFEMlxDcpKxWy0tdsm6dt2p22klpGg4rDKVQTNrHa3yh2i1LjuTaqdbwulWL9zcP8+TfS7zPQH6tU9gQ56ZuXZYzf/PnoB6Rl7xaIqCggKee+45iouLufjii5k8eTJPP/00CxcuZPLkydEeniC0Ok+VjixBl13fcMuyn1DuyOTFOxaS070d7mSFS0bZ6ZNxepe4Cq2nwUH1HXfc0ZLjiIqaDNiADoms2+/BYZVwWCS2HKqkW4a7xSaR1a477ZERz/o8DyFVJ9FpjVwuj8YEtpauhz1dsq2xpi31uK7PyT6XNY+f0zmZXcV+KoMKdovMBT3S2sTxaYz77ruP4cOHM378eFatWsUVV1xB3759ef/998nIyIj28ASh1Uk2jcRVq7juxevwpHTgrQffxZ7eDrtDZ1A/C4PFd4jQCI2eqBgKhXjnnXfYuXMnoVAocv9jjz3WrANrDTUZMFmyRX4hewNhZEk+JgvYnAFh7U4QaW4HvTLd7CjykRRnBk7RKn9oyQ4Vp1u2NZa09cVPTva5rHk8yWVjeNfUyOPXjewczWHHJK/Xy5133gnABRdcwOjRo3n88cdF5w+hTfIEFfhoCTc8cwPFqV3507T3CRVm4K426HuWxoiuCdEeonCaafQ36b333ktJSQlffvklw4cPp6ioiPj4+JYYW4ur3Ts43e3k3G5pnNstnUv6ZdXbrqu5JvAd3fu6a4abJ38yiJduGBbVCWxN7cl9ImKp6VPXVnpcH8/JPpct+bk9E3m9XjweDx6Ph+TkZKqqqiK3BaEtKXxtEeN+dx3743vzz5s/IH1oKh27aqSmGnRubxF11EKjNTpTnZeXxz//+U+WLVvG5ZdfzpQpU7j22mtbYmwtrqGZ2Za4/F7zuprsd01w2RqBQEv15D6Rtp5tbYq20uP6RE72uRR1+Q3j8/mYMWMGhmFE7rv88ssBc5LnsmXLojU0QWhd771Hzzuu4WDmAK5L/5jd/87A5ZRISNQ595IQl14U7QEKp6NGB9VWq/mSxMREduzYQXp6OmVlZc0+sNbQ0E4FLREQRqscIlrv21b6UbcE0SGlYUTN/sl9/vnn0R6CIESd//U3cf30Bgq7n83tPd8nK9NN/gqdqiqJdp01ep8Tok+OKP0QGu+UFn/xer3cdddd3HbbbVRXVzNr1qyWGFuLaewvX4dFYuWOEsKaTqLTRo/MeGyWpnUHOV72+/Vv9pOe4GyxwCBak97aYra1OYM8kYk9MVGzLwhCQ/j/9W9cP7uF/N7DeeHGt5BzE8nbaWHgqBDtcjSyO2v06YMo/RBOSaNrqq+88kqSkpIYPnw4y5Yt45tvvuHqq69uibG1iMbWR+cWeDnkDeILqthliUBY5Zvd5Rwor25Su658T4AEZ91zmpCqsmpXWYsuvlLf+7ZW27y2VPcajYV02jJRsy8Iwkm9+ipxt9zMgb7n8Z/Zb7FxayoHdlnI6qTjTjYoOSRTmGchM94R7ZEKp6lGZ6qfeeaZeu8/XVruNTZTu3hzEZ3T4slOcrKrxI8vqJLgtJKV6GhSQFhfOcTWQ1WkxDV8bKeSCY1mGUZbyra21hUBUfJgEjX7seOBBx5g+fLlpKWl8eGHH0Z7OIJgeuEFuO02is8dxxu3/BvV6qS00ELHbhprP3dQVmSh1yCF4Rf56JMTF+3RCqepRgfVcXFHPmyhUIjly5fTrVu3Zh1US9pyyEuhN0BhpdkOsF2ik7M6JpLvUet9fu22exkJ5i9t3TAo8AabNI76yiEqqhVGdU+t87zjBQanerm7LZZhRENrBHmi5OEIUbPfMCfr8JGcnNzk95gxYwbXXXcdv/nNb5q8LUFoFv/8J9x1F0yZwmd3Pk/VHhehSokhF4RYv9LBkAtDdOiqkdNTYdgwWZR+CKes0UH1zTffXOf2Lbfcwi233NJsA2pJuQVedhf7KPWFcdlkkOCgJ0CFP8yFvetf+KClfln3zU7i4r4ZvPZNHkWVQbISnQzITsBpq/sjOd57nWomVEx6ax2tEeS19UVhahMniw0zY8YMJEnCMAwKCgpITEwEoLKykuzs7GaZyDhs2DAOHjzY5O0IQrN4/HG49164/HIOvPgvylaHqK6SsDsMHHEw6tIgzjgDm82gc44kelMLTdLooPpogUCAwsLC5hhLi1u8uQibRcYqS0iShEWW0HUdf1jDOM5rWuqXdW6Bl6W5JfTLTmTE4QUr9pf5OVBeDalxJ32vpmRCG1uGIUoMGq81grytBV681QpVITUygTY13tHqJQ+x8PkQJ4sNUxM0P/TQQ1xyySWMGTMGgBUrVoh2esKZZ84ceOgh+PGPYf58ln7lpazIwpcfuxh6UYiufRQkCTQV0jNg+rlJIkstNEmjg+qpU6dG/q3rOuXl5fzyl79s1kG1lHxPAFmG9ilOKqoVwqqOzSqRYLMS1uoPq1vql3V9WcbOafGEVY0kl+2k79WUTGhjgiBRYnBqWjrIyy3wcqAsABIkOq0EFY11+z30znLTJd3dLO/R0HHEyuejLdXsN9XGjRt59NFHI7fHjBnD448/HsURCUIzMgx45BH44x/h+uvh1VfZUOKnpNRg/3YrXXsrLHwpnvIiC1mdNKbf7Of8IaLsQ2i6RgfVL7zwwpEXW62kpaVFelfHug7JLnYWVQHQKcWsDQ8qWuSx42nqL+v6gtjjZZoLvCr3XNLrpNs81Uzo0UHQ3hIf97xVSKc0F/2yk44JsEWJwamr/bmp+Qy88uW+ZsnmLt5cRK8sNzuKfYRUHYdVJqTqbC/y8YsLuzfXLtRRsw9bC7x4AyqJTiuVQZXsREejPh+xkNlu6zIzM3nuueeYNm0aAB988AGZmZlRHpUgNAPDgAcfhL/8BW6+GebOZUOxjy++DaOEYccmOz36K5w/OYDNBjY7dO6pMLBzcrRHLpwBGtxSr2YZ2/j4+Mgfh8OBz+c7bZa3nTggi3S3g6qgSiCsEgyr+IIqqfH2JrXHO5HjtVZzWKQmLT19dIs6RdVw2WRe+XIfTy7ZcdzWbbWD5DJfiB3FPpDAW63U2/YtWi34ziQt0V4v3xOgc3o8Q3KScdgs+EIaiU4rHVNcLRKg1uzDvlIfeWXVVAYUDpYHOFQRYFthFaW+IxN3T/T5EK0GY8MTTzxBeXk5d9xxB3feeSfl5eU88cQT0R6WIDSNYcCvf20G1L/4Bbz0EqsPVbLsmzChIOTtsjDkghC7NtuorpKJTzToflaYQWeJJcmF5tHgFHNrTHBpaX2zk5g9oRevf7OfDQe8GBiM6JbK9SM7t1im7HiZ3rCq4Q0owKnX3NZkQmtnn9Pc1hNegq+dId9V4sdhlXFYZapCar1ZRtFVoelaIttf83PJSHBGutIc/XNqqtoZ5bzyarITHRRWhnDaLDhtFoKKRmXIQJIkdhX7SXeb4zjR50Nc+YgNycnJPPTQQ1RXV9fp6NQcfvWrX/Htt99SUVHB6NGjufPOO7nyyiub9T0E4Ri6DrNmwbPPmn8/9RQHKoN8vV4l4JdQVdi82snAkSFGTgxid4ChQ3Kqzoiu4rtHaB4NDqrPlAkufbOTmDNjYJ37cgu8PLlkR4tcjj5RmUdz1dw2JlCpHST7gipuh4WQaq4UWTO22llG0VWh6VqivV5L/1yOLhP6Ps+DtzqMoumku82FERxWGadVBgNKfSF0wzjpOEQ/6diwfv36SFC9fPlytm3bxltvvcUjjzzS5G3//e9/b/oABaExdB1uvRVeftns9PHXv4Ik8dXmAKGABBJsW29j+Lgg3y5zkpii07GbSk5vhTHDHCJLLTSbRhdDn2kTXBo60epU60Dry/TuL/VTWBWK1Nfecn6XJgXxjQlUagdjboeFysMlKAM6mFcejs4ynoldFZqjprcx22iJbH9L/1yOPlFLddupDCgEVZ2QquO0mSdj6QlO2iU4KKwKUeANnnQcsXjloy3WeD/22GO88sor3HbbbQD06dOH7777LsqjEoRToGlwyy3w2mtmp48//hEkiQPeAAeLNEIhCU0BkMjfa2HcFdXYXWCzGXTpqjP4DP+/LrSuRgfVp/sEl6N/gZZUBU+a5W1Kh4OjM4r7S/1sOOBhSE5ys3VLaEygUjsYS3TZqAyq9M5ykxrvwBtQ6s0ynkldFZqjW0Vjt9FSWeWW/LkcfaLWIyOe9fs9yJI5uTek6mBA59Q4LBaZP0zr16CxxNqVj1jqXtLasrOz69yW5QZPsRGE2KCqcMMN8J//mMH0ww8D4AkqfLTaRzgMe7da6T5AIae3woHtNnZttuGKM+g9UGVUz8Qo74Bwpml0UP3EE0/wzDPPRJYlHzp06GkzwSW3wMvfFm+n3B8mrOrsLKqisDLIRb0z6gSkR2d5m1IHWjuI3XLIy9aCSiwSFFaGcDutkTrUptSUNjZQqa8rxcmynWdKNq85anobu43TMdt/9IlaRoKTXlluCqtCJLmske4fXTPcjfosxNqxaKs13tnZ2axfvx5JklAUhXnz5tG9e8t0jRGEFqEocM018M475sTEWit4Lv3BS3k5VJTIOONg+/c2zj4vTLuOOroG7gSDKSMS6JQk5gYJzavRQXXNBJfT0fxv9pNXVo3baSXBaSV0+FL2uv0VTDrryH+uo7O8p1IHenQQ2isrnrzyauJsVlLijvQVPqdzcpMX7GhKoNKQbOeZlM1rjpreU9lGS2f7m/ukp74TtcZkpE8klq58tNUa70ceeYQ5c+ZQVFTE6NGjOe+88/jd734X7WEJQsOEQnDVVfD++/D3v8M990QeWn2ggj15BoYBe7baqCyX6TVYobTASigAEhI/nmYXAbXQIhocVM+ZM4ff/va3/OIXv6j38dr9q2PVhgMe3A6zcwGA02Yh022nsDKEN6AcN8vb2DrQ+oLQpz/fTa9MN6luOyFFi4xhV7GfvtmWZln2vCHB8dGBF3DSYKx2Nq+kKsiuEj/lvjC/f39rswRZrak5anpjrS64JU56Yi2j3FJi7WfZWkKh0DFXGEtKSqI0GkFohEAArrgCPvnE7PRx++2Rhw54A3y9TkUNg98nkZqlIwHvPOumulrinNEhJv04SJ8ce/TGL5zRGhxUT58+HYCbb765xQbT0iSkY5Yjd9ospLvtJ1zFsLHlFfVdUlY0ncLKID0y3azP8wBgt0iU+syAfliX5AZ3IKkvC76jyH/C19YXeD3+6Q50w6BzWvwJg7GabF5JVZD1eR4cVpmUOCtlvtBpkbGufbwcFolD3iCd0+JPuaY31uqCW6qEIZYyyi0l1n6WrWXcuHFMnDiRP//5zzidZqZ+5syZvPfee1EemSCcQHU1TJ8Oy5bBSy/Bz35W5+GlG/wEAxKeMlDCMslpGhJw/b1V2J0GyWk608a4RLcPocU0OKgeMGAAAMOHD4/c5/V6KSgooE+fPs0/shYwuFMS3+wpR5KkyAp0vpDGyG5pJ1zFsLFZu/ouKafF2yn3m32Fh+QkR7K9aW4HF/fNYGluSZ1VDm9/PR9JAofNwuBOyVw/sjNglrB8uauMlDgb/donsK/Ux7vrDzK4UzKd0+OPGxjXF3ht8IUAGNgxOXJfzXNrv7Ymm1fT17qmR3G621xJL5brT48+magKqsiSRFjVKPCqkZ8l0OCTmljL4rZECcOZUkN/MrH2s2wtvXr14pxzzuHqq6/mH//4Bzk5ORjG0SkHQYghPh9MmQKrVsG//gU33ljn4dUHKigpMwgFJbatd9BjgIKqSnTopmKxgjPOYNy5dvpkuKO0A0Jb0Oia6uuvv57nn38eVVWZMWMGaWlpDBkyhAceeKAlxtesrhvZmcLKEKW+EJVBBYfVQtf0eK47HLCeSGPKK7YeqmRnURX92ydGFuYwM70hPv7hEOX+MLoByS4bN47MYUeRv055xQ/5Xkp9YVw2mQSHlTV7ytlRVEWSy06pL0SKy/yxbcjzomo6gbDG13vKKKwK0SMjniSXjde/2U96gjMSKGwt8NKnXd2ZziFVQ0Kqc19QUVmzt6xOMFWTzSv3hSP14CFVZ0CHxJivP603i5saR5LLFjmROpXyiVjK4h6vhMFhkU6p//qZVEPfELH0s2wtkiRx7bXX0qdPH37xi18we/ZsJEk6+QsFIRoqK2HSJFi9Gl5/Ha6+us7DK/eV8e16HYBdm61076+wa7ONnJ4qSljCGadz/lCraJ8ntLhG91CqqqrC7XazZMkSLrvsMhYsWMDXX3/dEmNrdjUrKl7YO5MBHZK5sHcmsyf0apZfqLWXXx7UKZGqoMqaPeUUVQbwBhR8IXMZ8RJfGF0HmywR1nTeXX+ILYe8kaXAd5X4qQ6r2CwSVSGVfG+QqpDCnhI/pb4QimbgsFnQDYPiyiB7Svz4wwqqphNSNNbneSj0VrNqV1mdpaAPlAXIK/PXGbPDasFuPfIR2FFYyeItRRR6g+SV+dlX6otcGp85uiupbjvl1QpOm4VzOieT7nbGfP1pQ5ZZrx14y5IU+ffizUXAkcWBZi/YeMIl4KNl4oCsSDtE3TDMn3d5NYe8wVNaDvxkx0M4/dVkpc855xz+/e9/8/LLL7Nnz54oj0oQ6lFRAZdcAmvWwH//Wyeg3lbi4/W1Baz9XicYkPBXQXKaQfEhmbPPC5HdWSMpTadLN41zO6VEcSeEtqLRmWpN0yguLuaTTz7h7rvvboEhtazmzkrVZKc/21qI3SIzoEMimQkuRnaX2JxfycaDXsb3a0c40UGpL0Tn1LjIJMWgolHqC+GwWagKqpFVDoOKRlA1sMoSdouMqulUhVS81WEyk1x4q8OU+sIEVQ1JAt2AkKqjGwYOq8yGPC/tkpx1srO9stxsL/KREu+I1I6mux2RICyoqHyzpxxNN+ic5iKk6mwv8tE7y83izUXcc0kv/jCtXySDmeC0Hrev9cmO1dGZ05YsNWjIRLStBV681QpVIZVEp40emfGRjiyxmrU9+phd3DejTl19ONGB3WqJ7HdY1dhT4uPXb2/ikn5ZJzzGjS0naSulImeSuXPnRv6dmZnJvHnz2LBhQxRHJAj1KCszA+otW+B//4PD62MAbCjw8sW3IQzDihIGXYPvvnBy9nkhXHEyoaBMwA/p2SqjeojvI6F1NDqovv3227nlllsYMmQIAwcO5MCBA3Tp0qUFhtY6GhIQnCgYrAm4MMzsT02bvHS3k9G9HBR4g9xzSS9mL9hIWNXrZE0dVpnKoEJmornwCpirHIY0HcOAOLsVSQJJAqssEVB0emTE8+kWHxKgaQZWi4RhgM0qU+YLk+624wup9M1OqLMPndPjqVa0uhMyJ5jlD4s3F7FmbxmSBJ3TXMQ7jgSgBd4gNqt5EtCU+tPjBadH15M3d9B6solouQVeDpQFQIJE55FWh72z3HRJd8dkH+P6juXS3JI6x2z2go2kuc3PWmSCqUVCN/STHuPGdMSI1ZMOoX6LFi1i+vTpfPTRR/U+PmzYsFYekSAcR3ExXHwx7NgBCxfCpZdGHtpQ4OWLtWH8lTI2h4EEeMpkOvdU+f4rB137qCTH67gTdc7qL4v2eUKraXRQfemll3JprQ93p06dePrpp5t1UK2lIQHBiZ5TO+BKcNkIKRoOq8SuYv8xpREdkl3sLKqKLPEMZnbZYbWQ4XYgAd/uLac6rCAh4bCY1c6KphPWDJJcViRJwm61kOCwEFA0kCTi7Rbi7BY8AYUSXwhV18lOcuK01f3RVgVV+rdPqndCZt/sJLNMwmH27q7hsMqU+cOM7J5e57mnsjjM8YLT177Jo192YosFrfWdCAzrkszizUW88uU+8sqryUq0U1QVPvzzkCNZ+l9c2J1XvtzXIn2Mm5LdbUigXzswrplgaj7XftJj3JiOGPO/2c+eEh+KZuB2WiM1/bE8ebUtCwTMz63f7z/JMwUhigoKzIB671748EPz34ct213Cxs06SlimZkpQpVfCFa9jGDK9Bik44wxk2SAxCUZ1E99DQutpdFC9d+9eHnnkEcrKyvjwww/Ztm0bn3/+ObfX6hV5umhIcHKi59S+TN4jIz6SDfQGwpHSiGFdknnw3U18s6eMksoQkiTRLtGOy27FF9JId9spqgzRKTWOcX0zqQqqLN9WhAF4AyohVcNulXFYrdgsMt/uLccTUJCB9HgbvrCZebRbZOLsFuwWC/6QyiebC2iX6KRf+wQcVutJyzQ6JLsIKxo7in1ATRZdxWaRI/2sj6f2iYdVhuXbi3lvQz4D2ieQHGcnrBlsPVTJoE6JQN2VK4sqg4zomlpne809+fHoFSRrnyRtyKvAJst0TY+jrFrBFzRXCkx02eibndQifYybmt1tSHlG7cC4KqBgs0iENYMBHRLrfX5tDb0ikVvgNTvRuKzmFZbDNf2dU12s2RsQ5SAx6Cc/+QlAZEVcQYg5+fkwdqz59yefwJgxkYc+3VnM5i0SSkhGksHQocormVeKgcwOGhYLGAbEuw2mjkwQ7fOEVtXooPrhhx/mvvvui6y+1adPH2bPnn1aBdU1WcIF3x3AwDAXgUlwkhZvo9QXpqjKbDU3cUDWCQOY2gFXTau8LYcqkSWZJJeNYV2SeWddPnll1SQ6rFiTJAq9QQ5Vhsh0w6juaQDYatW+JrlsDOqUzMaDHtLi7bgdFqrDKgWVIZJdNnpmxlMZCOMJKKTZLQTCGgFFxwBS452omo7bacdyeP7hV7vKuaBHWiRgO16GdOKALP622IOuG+R7AmiHs+P3Tux90nKYkqogSS4bRd4A3+6rQDcMJAxW7SglM9HJsK4p2CwSa/ZUMLK7FFmavSqokpXojNST12jJyY9HnySlu83Sm7JqhZHdzJ9H7SC6KX2Mj3esm1pS0pBAv3ZgjGR2ezinc1KdY3+iY9yQuQeLNxeREmeOQZIknDbzs7pmXwWdU+OatRxE1G03j0cfffSEj5+uq+UKZ4j9+82AuqQEPv0UzjsPAE9Q4fNdZezdbUEJgyRDRalESoZOOCyjG5CQZEQC6sQkxDLkQlQ0uvtHIBBg4MCBde6zWCzNNqCWVpMl3FfqI6RqBMI6lQGVQm+AL3eVUVIVIivBEQkGHBaJqqBaZxs1AcnRXRfsVgvdMtw8cdVA7rmkFzuK/JT7w7idVpx2K6luB90y3fTIcDPt7A7MmTGQkGYc050iJy0eWZJwO62EdYNqRadDsos0t4ON+ZWkuR10SHZRrehoQHKcja5p8aS5HSTF2Ul0WjEMiQt7ZzK2TybpCc46NeD7Sn3klfn5cNMh7vnvRj7alA+ALEm47OZiODlpcXTPTKDbUT09a3c5qQmavtxVRoGnmm/3VSABLpuFoKoT0nQsssSe0mr6t09EAjbnV0YmR3oDCjeOzDmmc4U3oByTHW+uDhxHdwPpkRmPYRiU+8L1vn9NcJrkslHgNU8eGhIg1necarpvNKQjyYnU1+2jvmPWN9ss9/n7VYPoluHGZrGc8PmNle8J0K99AiFVJ6hoGIe3rR5ut9hcnUNOdCyFxunfvz/9+/cnFAqxZcsWOnfuTOfOncnNzSUcDkd7eEJbtmcPjB5tTk5cuhTOOw9PUGHR5mLe/LKMfbstKGa+C8OA8iIrnhKZjPYa7Trp2B1gsRr06mbh6tHJIqAWoqLRmeqUlBTy8vIiPU0XL15MRkZGsw+spbx+uAY03xPA0A2Mw52aiysD6Mgc8gaJd1gJq+akvrCqRSYRHp2pPNll8nxP4LiTE2sCqOP2GLZZGN0rA1mSeP/7fKqCKmX+MFVBhZTDgYpFlumQEkcorBLWDSqDSqQu2n34PWsHa4s3F6HrZr2wwyqTFm+nMqjy+Kc7iHNYqQyE0QxzjEkuM0t+dPZ08eYiNE1na0ElvqCKRYaqQJgVO0oBc6KlJIGug9UiURVSsFpkMhLMjPXGg14KvME6x6pbhvuEpQbNORnu6OOd7nbSp10CBZWhY8ZV41Q6xpwoG93UkpITfe6Ol9FtiQVOavbjnM7J7Cr2UxlUUDSDLmlxAKzeUxb5TCbFnfol2FicLHq6uvzyywH4z3/+w5tvvonVan5P/OQnP+Haa6+N5tCEtmznTrjoInMJ8s8/hyFDWH2ggk17glR5LGiqBQzz94rfJ5GYrJPZUaUk34oSlrE7DJJSdcZf4BC9qIWoanRQ/fvf/56HH36YPXv2cMEFF9CxY0cef/zxlhhbs8st8LJqVxlOq4Q/pKIbBoZhoFlkgiq47Gb/aIsssT7Pw9mdklB16g1IoO4KfLec3+WYX/AnmpxYE0Adr7xgcKdkqoIqYVWjMqgiAbIEFlki3xskw20nJd5Bj4x41uwpx+20RuqgAfq3N2tnawdr+Z4ABd5gZFVEAKsMB31hZH8YqwySJBNSdGxyGE+1WQpTez/X7CnFU63isMmEFIWDnhCabqDpBlYZqkIGumF2LHFaLQSVIwG+02ZlfL92x0yWPFnQ2pxBVX3HW5Zl/jCtX7MGaCcqG7rl/C5NXhq7vmN2spOP5g5Aa45lksvG8K6pVAVVVu8uIz3Bwbr95nL2CQ4rlUGVyoBKboH3lMbQ0BZ/okSk4bxeLz6fj+TkZACqq6vxekXmX4iC3Fyz5EPT4IsvYOBAVh+o4Ov1CoZhJRw63AHLCof2WkjJ1Kksl8nsqJGaYaCq4HAYjD5HBNRC9DU6qO7UqRP//ve/qa6uRtd1XC4XH330ER06dGiJ8TWrxZuLcNlkiipDyJKELIFuSFQrOg6rhMtmxWE7EnDmFlRxYe/MYwKShmZOJw7IYtNBD3ll1WAYGIAvpNE1Pf6Y8oL6gva/Ld7O1kOVhBWNsG5gt0i0T3JSVBmmpCrMOZ1TsFst5KTF4bLJbCusotQXJivRUecy/4+HdSS3wEteeTW5BVUkOK2kxtuJd1gpqQoRZ5fNSZEYaLp5GT8QVkmOM2vM+7RLjOznzmI/iS4rVovEIW8IWTLr2wwDJCQ0zSCoarRPclJcFcZikeiWHtfonta1naiPdGO11rLUJ8pGt9QYTvXk41SD0fr2485x3Xn6890AkU4qAL0O9zs/lX1sSGZftPZrnJkzZ3L55ZczYsQIDMNg7dq13HnnndEeltDW/PADjBsHFgssXw79+rFyXxnfbdIJBSUsFpBlM0MdCIArHiqKZbr0UVGCMoYE6Zk6M4aligmJQkxocFDt8/l44403KCoqYty4cYwaNYo33niDV199ld69ezOtVlP2WJXvCWCVJZDMX/hVQQXdMBdPCasGQTWMzSJRGVBIcVmRZEu9dacNDV76Zidx38TezP9mPxsOeJCQGNktletGdj5peUFugRdZMlddtFklbMjohpkF7pzqolrRUHXzvX90TgeW5pYwulcmIVVl66Eqvt5dzvmHJygCzF25l+xEB7uKJKrDGiE1SGq8jYCqk+S0omk6qhHpUES1ohPyhkhPqLufcXYL3mqF6pB2eEKiREg1V2czMBesscoSkiST7rbTp11CZJynEjge3Ue63B9i8WYfcXYL2cmuU8p+tsay1Ceb4NjYMTQk8G3soi01260djO4t8XHPW4V0SnPR7/AE1hONs779eG/DISoPryLqdlrp3z6RNPepnQRBwyaLihKRhtN1na5du/L222+zceNGAGbPnn1alfEJZ4ANG8yFXZxOs+SjVy8+2FbIju0SmiIjy2bCRldBUUANSSSmaqRmgapIyBbIyNC5XATUQgxpcFB97733kpSUxNlnn83bb7/NCy+8gGEYPPvss/Tt27clx9hsOiS72JBXQYckJ8VVQUCKLNerczigNAzCqk5hVZgRnVPq/YXc2OAlI8FJ//ZJjcoCLt5cRKfUOKpCKiFFw2mzEDz8d9/DfZ1ryiieXLKjVkBhI7P3kcxe3+ykOo8rms6avRUomo4/pJGV4KDEFzY7RJiHAuPwsdABVTfqjCvRacUTCOMPayiagW4YyJjZBIsEYc3AboXhXVO4/qiTh+M5UcC4eHMRvbLc7Cj2UVEdptyvoOkG/pBKdqIjZrORzZmNzi3w8vinOyj1hQipGjuLqtic72X2hF51tncqtdq1g9GSqqDZUlECb7Vyytne/u2TjhmHN6CcckeXhhzLUzmhaKtkWeaPf/wjCxcu5OJa/X8FodWsXQvjx0NiohlQd+/OB9sK2bnDQjgINjuoCmZZoQ18lTIOl0FikoGqmguetc+GSWeLgFqILQ0Oqg8ePMjzzz8PwJVXXsn555/P8uXLcTgcLTa45jZxQBafbilEM8BmsRBnNwgoGqpmoGPWLBtAgsOKohl4j+r6UaOhwUtTLknXBAk1/a8B7BaJUl/omCzdyQKKmsdLfUHK/AqJLnPlQIDhXVJZuq0YP2YgLR/uB2OVJcKqQVg7ElSXVAXxBlQskkySU8ITUAgfPnZOi4wB2CXokOQi43DHkZM5Xo/rC3qkcd3IzuR7AnROj8fttLJ8Rwm6YRBnt+CwyXRJd+MNKPVmI2Ohvra5MuKvf7OfvaV+EpxWEp02QqrO3lI/r3+znzkzjnTiOZX2f7U/OzWLxDisMlUh9ZSzvU1pQ3g8JzuWLdFP/Ew2cuRIPv30U8aPHx+ZdC4IreLrr83VEdPS4Isv2GBPZsu6Aorzrahh83eQrxLiEwy85TIJKTodu6tUV1kIhyRc8QYXnxNHn6M6UwlCLGhwUF0zSxzMFnrt2rU7rQJqMH8x3zm2O08v201VUEU3dOLsFiqDKg5ZipRXhDWdzqkuKkP1B9VHBw37S/3sKPLRKc3Fk0t2HNOPWNE0vt1bSWXQXKTl6GCoPjVBQk3/610lfsp9YdLcjmOC8qMDipKqIFsOVaJoBk8u2UF1SOGzzR4KKoO4bBbSE+w4rOZs6utGdgbgf+vzAXN5dANQNHPioaGbWcYEp5UthyqxW2VGdUwlrzxARbXC4Woa9MOvi7PJFFQGWLK1qEGBbM0xCqsa3x/w4rDKJLusbD5UydyVe3HZZKqCKhkJTpJddjomW+pM/DzehLXjLYm+o8gf8xPZjj4h+Hp3GQlOa2SfnTYLhmGw4UDdiWWnkh2v/dnxBVVzERdVJ/Fw9udUsr2tVbdeW0sE8meyt956i3/9619YrVbsdjuGYSBJEuvXr4/20IQz2cqVMGkStG8Pn3/OspCDzVsCaKoZUCOZv3MO7bXRoatCdmeVULWFynILdofORaOcYjKiENMaHFRv27aNIUOGAGAYBqFQiCFDhpx2X8aTB3agW4ab37+/ldxDXuLsVsKaGUxaJSmyiIVmSGQlOuvdRu2gYcshLwcrAvRu5yYnLb5ONjrfE8BmgQ153kgnhKCisWpX2XFrgXMLvLz+zX6+2VMWmXQ4tEsK/bIT8QaUerPctQOKoKKydm8FBjCiWwp7S3ys219BddhcmdEwDPIrgiTH2RjYwQz8rxvZma93l1FcFUTVzYy9qh3ujGIYrN1XTvtkJ4pm0CsrnlK/WYueHGeL1KUnOK2EVR1ZlrHJYLNI9Wbljw4Ytxzy0jc7kTV7KyNdSQzDiGRKiysD7CmtRtH0wwvdyDislsjKgPVlI+urry33hXj6892c2y0tpiey1XdCUFZtdmZx2Y/8d5Uwa9iP1tjseO3PjtthiXSPOdHxPXq89V0RaI269dqiEcifzjZs2BDtIQhtzbJlMHUqdOkCy5axrNrKxs2ghM02rEhQWiCR2cFsl3don40qjyXSLm/MOSKgFmJfg4Pq3NzclhxHq+qbncSNI3P43aKt+EIqNlnCH9KQJAlJ0lE0s6768sHZwJHAYWuBF2/AXMa6f/ukyCTGjilxx+1HvHx7MZquU+pTCKk6Fkki0WU9bsnC45/uYG+pH7fDikWWKPGF+XxbCRf3yTxuAFg7oFiztwy308qADomku518U1JGSryDoBrAYbUQ1nQcVpl4h5XO6fHkewL0zU5i9oRe/Pa9LSiaimYYSIDDbqFdogOrLOF22OiSKrG9yIfbaS5Lrel2fEEFh1VGOtzuT9MNEp02+rdPxG618Po3+0lPcJLvCWC3SJEl2WsCxoMVAeJslkiWFIhkSkOqyuZDVZzdMYnCyiCHlCBlVWGGdE4mNd5x3I4i9ZXDFFYGUTT9mED79+9vJSc1rlGZ6+YsLTne6pS1x9kuwUlxVYg4hy3SUcMX0hjRLfUkWz+52p+dRJeNyqBK7yz3CY9v7bE3teNGcx7L1g7kT3der5f9+/cTCoUi9w0bNiyKIxLOWIsXw+WXQ8+esHQpK6stbNysoSpmfbQkmwE1yBTnQ5c+KqmZBpoCrjidi4fGi3IP4bTQ6JZ6Z4LcAi/vrMvH7bBQWGku7GK21zPLP+wWA5dN5r0NBQBsK/RT4Qvyw6FKVN3AKssoqkZeeTW+kEKfdomUVAXZVeKPBIcS0D3TzfbCSgwg3m7FKkuEVDNoX727lCehTjCxeHMRpb5Q5FK/y24l7nB2Mv0kNco1AUVNQCkfrpP0BVUSHBZKLTIZCY5IJtgX0upkIScP7BDp2rCn1I9FkshIcBBnt+ALmQvhfHnQQ5k/THl1GJfNQoLTSprbgcMqU+oPY7PIdEhyclaHJDISnBRXBfhqVzlj+2SSneRk5Y4SqoIq7ZIcyJIZOPbOcrO90He477UGknmMOiQ7WZZbjKIaFFaF6JHpZmT3dPaW+CisOv5CLVB/fW25XyEt3h65XVIVZEeRj4rqEAfKzZ/b66v3M3N0F24d0/OEn53mat1W37a+3FXGqO6pdcZ+TpdkvthWApiZY7tVJictjusPl+40Ve1g9Ogg90TZ3qZ23BBt8KJnwYIFzJs3j8LCQvr06cPGjRs5++yzmTdvXrSHJpxpPvgAfvQj6NcPlixhmddg4xYdRZGwHC4xrAmoQSc928DnsWC1Q5/+GlP7tIv2HghCg8V8UL1y5UrmzJmDrutceeWVzJw5s8nbnP/NfvLKqkmOs5PgNHs1l/sV4uwyqW4HSS5bZCGVuSv3cVb7BH44VIWERLxdJqwafH+wksyEIBXVCvtK/SiaQZLLhtthoaQqRJk/TFaikwSnjcqggj9s9ljumOLCF1TYVeKnb/ukOsFEVVDBGwgfniCoY7fKpLhs6AaRutaTZfaODijdTiuVAYXsRGekZzCGgc0iHZOFrOnaUBVSSXBYkSSJoKIhS7B2Xxn7yqpJcFiwyjIBRSOk6gzvkoxqQFpApcwXIs5upWbe09ZDVaTEHQm6FM3AIsEX20tIctlIdNrolhFHpzQXGW4HX+4qIyXORlq8la93l+MLqSS7LFT4Q6wPKAzJSaZzejx2m4Vbzu/C4s1FvPLlvmOOQ331tVZZqpO93lXipzIYpswXxmY1Z2eGQyr/WLqLjilxTB5Yf9/15mzdVt+2UuJs5BZUkZV4pOTCYbUy7vBy8y1dD96YbG9TO26INnjRM2/ePN555x2uuuoq5s+fz+7du3nyySejPSzhTPPuu/DjH8Pgwex44398e0ChNF9GDctYLBCohoQkHQwbSGZAjYEZUPfWmdRbBNTC6SWmg2pN0/jjH//Iv/71L7KysvjRj37E2LFj6dGjR5O2e3DTdn7z2TwkXSesami6gappSAYkO82yCwAMg8pAGJsscZVuYD1c92XoBoqmY7NakGWZoA4GEk6XDUmWqQrrWG1WHF9YGavqBDQwJBnZIuNw2KgMaVisMr22JuPTDEqDOpUqVOvQ05AxbHYkmxVFshA0JOLiXQwsS+NA1Wa+3F5OustBhzgHfg0+XQ3OoTl0bZ8KDgdTE0PM31VEONGNM8FFvKSxraKapDg7SS4r1WGVkGpwfo+0Y1re1QSjdotMUDHLYbwBBQ5ntq0yBFQNLaRhs0hYLTJr9laQ5LJxVockKg+3YftuXwV92iVQUa0wqvuREgVZghJfGEmCjskugorGmj0VjOyWypwZAyP15B/+UIBVlom3S/jDOlWhAPF2CxsPeumeHs/uUj+3zl9PSpyNfu0T6l05sL5FSZbmlkQmXZb7wpRUhTAAVdMjq0CqBjy3fM9xg+rmbN1W37b6tU/gq13lkXHWTLiLZvb2eCdyTe240Rpt8GKhC0wsstvtkYnm4XCY7t27s3fv3iiPSjijvPUWXHcdjBjBsqdfY9s+K6GAFVUxO3wYhkGoWsYwZLoNCFFdZT5md+qcO8jOuZ1Sor0HgtBoMR1Ub9q0ic6dO9OpUycAJk+ezLJly5ocVJcnZfC/UZfhDSgYhlnDG1R1DEnC7bCSleTCabcSVjXK/Qq+sEa8w4JmgMUi4wkqYIDdaqF7qosKf5BgQAFDJyfZiccfIsVhIRTWiLdJ+INhQkGFoKLSJdlJuS9EusuCmuRke74H1a6AEkYNhbHpGg50XLqBXQ9hU1QSw1UMz5HYtWIPvYJhXLKBrCrImoYaClO1WoesOAgG6REKMbvST3lZFSF/NROCIewWiZBspVq2olnt5GQn0+77FPjAAY4jf/q6XNxv2PimOMQmr4GcmEB5XBL7MztRoliwyBKKai5JrhsG6uG/XTYLCS4rQzof6VJSUBni/B5p2K2WyHE3MEtsbJLEwYpqAoqOAVT4w4CZJU1PcJLuduC0yuR7DHTDXKI9qGrsLfFRWhUkOc5Oisv86G7I89ItPY58T5Db31hPRoKTJJe13oVLumW4IwFWqtvOntIji93UtFME2FfqO+5npzlbt9W3LYfVygU90khy2WJiwt2JSjSa2nGjpdvgtVp5STgMu3ZB167gOj1a+LVr147KykouvvhibrrpJhITE2nfvn20hyWcKebNg5tuonrESN7/6784dCARXZfQNbBYwe8z5+DEJejIskRlqRXdAGeczsQRon5aOH3J0R7AiRQVFdGu3ZHLP1lZWRQVFR3zvGXLlgGgqiozZ87k448/BiAYDDJz5kw+++wzwFwVcubMmbQL7GVNQidykzLZvnMpuXqQbZld2ZGYxq6dS/jK42FzUge2xyVycM9n5FtUCjt0Zbczjh2bP2KfHuZQZicOOp38sOlDyhLsVPfuS2lGCj/sWEZhehLfZ/diT0Yqa3at4IfkNPb0O4fSbh1ZvvcbViVn8UHWAB6vkPnkwDo+yezKsv6j+bR9F5YG9/NhnxG8O2wyb3ftx0JLOasnXU7mn//AS/2G8Vfdx9Irb2bVzN/wxoUTeCTOwstX3QGvvsrnP/sZM9PSkN57h87rv+LZmXcza+gQ3n3qDZY+OY8F19zI37u057UZv+Rfl9zI/fZs7tq5n30XXQoTJvCR189rSz5DMWCoI0C/rZ8z+n+P88d/PcyL/32E+//3J659/w8My99CcqASx76viN/4X9LcdjYe8PLdkvfI/+xVUuNtJDqtJOxfyZoFz+ENKOiGgWfdxzg2vYtqGAQUHdv2z4jbsojNBVXkFnh56qmn+OLtl0iLt1PqC2Pb+iEJOxdjtciomoFtywfYti3GIss4bBYqV7+Nb/2HrNlbQYU/RPmqN9m5/F3W7atg44EKfnXfgzz25DORz8m8f/6FlPyvefzKQfxhWj/cG9/Cvu8raupV4je8iTPvG/TDofasWbNYsGBB5PW33347jvzvIhP4lsz9E5u/+RxvQOHiPmkN+ux9/vnnAHg8Hta98Vf2/LAWb0DBX1nBJy/8kb1bN3DdyM5cfVYilUueZVRiBX2zkzh48CAzZ85k3bp1AOzbt4+ZM2dGVsTbtWsXM2fOZMuWLQBs376dmTNnsn37dgC2bNnCzJkz2bVrFwAbN25k5syZ7Nu3D4B169Yxc+ZMDh48CMCaNWuYOXMm//tyK0kuG/68rSx76VHsqp8kl42XF3zMk7+/l6sHmfXfm779im/n/4Xrzsmgb3YSn332GTNnzuT7vUU8uWQH1z3yApOuvJ4fDpQB8MEHH7Dujb9GjuWOb5fx6dxH8QYUJg7IYsGCBcyaNSty7P/zn/9wzz33RG7Pnz+fe++9N3L73//+Nw888EDk9ssvv8zDD/8uUl7yw9J32PrRKyS5bCzeXMQzzzzDnDlzIs9/6qmn+Otf/xq5/cQTT/DEE09Ebv/1r3/lqaeeMgPorVt555prWD1lClxzDVx0ET/8+Me8+X//F3n+ww8/zMsvvxy5/cADD/Dvf/87cvvee+9l/vz5RMuzzz5LYmIid955J3fddRc/+tGPePbZZ5tl2ytXrmTChAlccsklzJ07t1m2KZxGXnkF46c/pXDoKN586DUOlSejKGZAjQQ2h47PI6PpEJ9oYLMDMrjiRUAtnP5iOlPdUkb3zmDzdpnKgI7t8NLcDouE3S6DAYpu4AupnJUezy6LzOSBWXzrt+C0yYQlsFlkJFlmYMdEivbKdEx2sT2k4bCY5yhp8XZ2hlQ6xNnZD2iGTrEngLs6hBpSaZ/kYH9YN7uBGOaqheGQSpzFbOmnY2ZVy302qgGLJPHkkh3klfkJVIcp94fokGDui6obx1xCr1HhD2MYBmsOePGpEpIPAjY773nsZBlxeO0phJ2J/MmTxoxu7ZkftwVPx2IuueI6qoIquV9/hid7I6Ou+TVbvssl/dv3yTm4jem5K+ledhAtXMU+u4MSZxobE7LxqlWEZKgMqlQGVVL8YXTD4MNNh8xyGdWsbe6SFo/TZqFsv41wIERKnBnoSEC8w4rDbsETUHAoZhbDKks4nDbsdgsSEm6n1ZzUiNlTPKxq+EIKTsyfjSZJ/JBfSbKq8/m2EsoWbKRDsovKoFLn+NRM5lQ1A4t8JGudGnf8Fbqyk1xcdK5ZWhJSdVx2CzNHd6VnRnyjP4dxdgtjBmRR7LKxpyyEVZaYdDi7XlgYGysBFlYG6dopFX+t+xKcVvb5w9iBXu0SGd4nh88tB3krz0XvdkcywNVhjVe/2kdqoptkl41i3eDlVXv5xUXm107c4WO3eHMRO6oVrLIUySJvboaxV4c1Epx1v+Jqyku6NOD1kqbB9u2Qm8u5X3xBZmkpLFgAOTlkFBdT0aUL/OpX0LMn7z72GFmZmc0w6pbl8XiOua9XL3Nl1urqaux2+zGPN0ZLlewJp4nnn4fbbydv2EUs+vW/URQXmgIWC2BA8SGJDl0hOU0nWC1RWW7BMMAVbzBioF0E1MJpTzJq1umOQRs2bOCZZ57hlVdeAeDFF18E4NZbbwXMVR7HjRvHsmXL6NixcYs8PPjuJj75oZBqRTWDK8PAQELCwGGzkBRn57KzO0RKCGrXZjosEoe8QTqnxUcue+8v89M+yUlIM+iQ7KJXVjxf7SqLTL7r1z6BrYeq8AVVwqpGsS9IzdoyMmC3mnXZmmagGZDksmI/HOnJksTwLqnEOSx1elA7rNYT1tv+9t1NfLOnnASnNdKKbU+JWdrQLcMdua8qqBJvt3BOl7pdJ7wBBUXVqFbM1wXCKvmeACFVxyZLZAU99C4/SMeiA/QoP0g/bz5oOvszc/DmdGODO5v9WV1R0tORJIkyv0KJL0hOahwpcXZCqnlicXanJFQdHr9yEB9tyucvn2ynKqgQVvXIMunDu6ZQFTQD6f7tE1mf58Fhldlf5ies6aiaQaLTgsNmxTDAF1KwyjKp8Q4uPatdndpkgLkr97I530O+J0BY0dEMcFglklx2xvXN5M8nWZynrXhyyY56lxxPctm455JeTXptS9c7N2rsmgZ798LWrZCba/69e7e5SEXfvmbngr59oVcvcNZ/Ens6GDt2LJIkYRgGBQUFJCaa/cgrKyvJzs6OXEk5VSf7zoamfW8Lsav68b8Td++v2T18PO/PfoWw5IhMWpckA0ecTv4uOwY63Qco+CutaIdrqEcPET2ohTNDTGeqzzrrLPbt28eBAwfIysrio48+qnNJtimuH9mZ9fs9FHgDBFUdWZLMjLXVAkic3z2tzi/eo7siHB0Q3Dex9zEBwY4iP2P7ZEZ+qX+veQmrKvles87ZIpkBtI75O12SQTu8MqFhYHbfUDVS4+0UVoUYmZHGiG4S6/ZXsGRrMRkJDgZ3Sj7uPhqY2ddAWKO4KkhQ0fGHNeJt5iIr/pBKeXWY6pBKvkdnQMdE4EgAkuC0UuBVmTm6K69/s59Vu8pIdzso9YWwWSxU2tPZkZXNivZn0SHZid1moYPqZ3iwCGNrLkM2fcX1nv8iS3CgfTf2ZXbmu7h2HKQLPks6bqc10s+65hjtKPIzuFMyu0v9HKwI4LZKJDltVAU10t0OdMPAbrVwdqckcguqzEV7ZJk4mxSZYGpOPDUIKiqyLPHt3nJ6ZMZHLv2D2WliWJdUlF2lBBTd7LZikenXPpHzeqTx5JIdrTq57VQCzNaYhNeUuukTTUT8aFM+Ty/bjaobpMbbCCsac1dWN2u98/HGfnWfRFi/HnbsMP/s3GkG1FlZR4LnCRPMADourlnGEitqguaHHnqISy65hDFjxgCwYsWKSBldU9RXsrdp06Ymb1eIbYE5jxH30IPsGDmF92e9gC7ZsVjMyrqigxLJ6aCEZboOCFFdacVbZsXuMBh0tsS47lnRHr4gNJuYDqqtViu/+93v+NnPfoamaVxxxRX07Hn8HsKN0Tc7iTvHdefB97ag6ToWi4TTZkUH3DZLPWvVHfv64/3yrwl2Fn6fT1aCgx6ZbjISnCQ6bewv82MYZuBXm2KAzTBbziU4rcQ5rHRMiWNHURXBsIbv8Ep3NWf+yS47F/fNoiqoHnfyVVgz6JEZz3f7PZEJhVVBhaCqc6iimlJ/GMM4PEnPMMxOHN0l0t1mIFQzaaxvdlKkO8fv39+KpkNI1VA0c+XDOLsFiywzvp/5y9RPdz50dsHTZxzd0+Oxl5WQsm8nOQV7mbRzC90/P4A7PYXKLj3Iz+7K3szOTLrqQsAMxDqnx9M1wx3p/V0VUAhrOrMnmCc5izcX4QupXNg7k16j43l62W6CikpVSEPTdRTNbPdntUhkJTgIKhrr9nsYnJNEvsc8jmYvbxujeqRH3gMJfnROB5bmlrTo5Lajg+FeWfH1vueJllVvrUl4TVmp8HgTEe0Wiac/3w0SpMbbCKk6O4p99Mp0N2s7vb5ZCdzezcqmz9ci7dxBl/JD9KwqJCFUDT16mAtR9O8Pl11m3j7DAugT2bhxI48++mjk9pgxY3j88cejOCLhdHXovt/S/v/+zLbzL+eDO55FdliRdfN3SlyChoQDT6lOpx461V4rmma20ZsyLJFOSafHxF5BaKiYDqrB/LKvyaY0h5q2bRsOeDEwsEoGboeVgKITUDSyk5wM75pKWDu1qpjawU5WgoPKoMr6PA9DcpLpkRnP2r3lh7tgHPvaOIcVmywhH14ABcBls+ALqXRKM39Uu4r9SJJEqtuGLEkn7O3bIdnF8qIqOqa4cNosVIdVyvxm2ckBTxAJDtcSS9gsEmFVZ3N+JaN7OerNSPbNTiInNY5u6XF8f8Bcet1hlanwhzjoCbCv1EdOWjx5ZX481Wb5xq4SP2HVgdH+LNR2/ZEliQQr9DP8pB/cw1mH8rni4BZyPp0L7doxwZLBWncHdrXrjr99R3pkJUQy2TX7V1/Q9fTnuw93IzHrrK0WmcwEO27nkYBu66EqLuxt1r3WBHsZCU4yEsygNKxqvPZNHuW+MKluOz0y4slIcB73+J6K+oLhp5ftpnc7d6OWVW/NHs/1XaVpSCb/eJniOJuMoumkxduRJAmnzewQU1gZxG6zHLOdkzIMKCuDPXvMjPPu3WYGevdueqakmCfiw3pBz4vN7HP79mZPrzYsMzOT5557jmnTpgHmxNHMZqgJz8rKorCwMHK7qKiIrCyRiTwjGQZ775xN12f/zpYxV/Lxbf9EslmwOXQM3cBfZcFTaqHHoBBVFVYCfhm7w6B/P5jQU3wmhDNTzAfVzanuMuAWAmGNypCG3SLRIyMeq8WsMa4OaXRtwISJ+i6/1w52ema5WbffA8CuYh/92idhs0oYh4M//fAkSQOwy9CnXSIV/jDFVSEcVhnDMHBYZXwhaJdglj6U+kLYZJketSbGHa+378QBWby3IZ9klxV/SOFgRRCLZK5aBUSCexmDjAQnboeVsKafdLXC5duLcVjlSDAU57DRIVmioDJEtaJxoCzAgPYJ7C8PcLC8Gs0Am0U6PBHQoEqVyE9J56yrzmJvUGVleTXt4q2wezfWLT/QZU8uY9d8QnzAx56Mznh69GHMFReBNwuSjg3eJg/sUKdd3pZDXnJSXOwvDxBUNBxWGQyDioAaWVr+6GBvf5kfWZIo84VIjbMRUrTIyVCa29FsvZPrC4ZV3aDAG6RL+pHPXH3Lqte8vvbKmbXV/hy0VGnIiTLkNeOr/Z71Zblf+XIfafFmTX3NZ8hhlSn3K4zsfoLMlWFASYkZPNf+s3evOROqWzfzT48ecOmlZibaLSY+1eeJJ57gmWee4Y477gBg6NChzVJa15Ile0Ls2FZchXbv/fSf9xybxl3L0tseB8lCIGAu3FJdZSExVUO2SFSVm9npxCSdySI7LZzh2lRQffQy4GX+MPF2CwFFp9QXpnNanHkpusjHbRd1P+G2jhdcFHgD6LpZFmGRJFRNxxNQKPAG6JHpJic1jj3FfnTAcngxGVUHySKTEmeu7uh2WElyWSn3KzisFn55UTeqwwb5ngBpbgcuq8SuEj/fH/Didlppl+Co9ySgb3YSF/RIY/OhSgq9QRxWGZtFQtHC1CTiLbKEyyaby4/7Ffq2T+SW87scNwCrHagbhhGZbDi0SwqKZgbdHZLjSHLZ6JAS5H/eAIZm9rNOibMBErphUFGtIEsSiqaxt9RPqc+KI7k9ledksmLghSQ4rDj9lfQo2sfI6kN0+XQRPDEH0tNhwAAYOBDOOssMoCxmYFZaFWTroUpKqkKomk6PDDdl1Qq+oIrNInF+j7TIfh0d7LVPcmKzmlcFgooWCfZ2lfixWy3N1ju5vmA4Nd5G2eFe3TWOXlYd6gbNJ+rx3JKlIcfLkM//Zj8BRa/3PY+eFNgh2YWiamwvMifN1qxeapUl86QnHIaDByEvz/yzb9+RANrphO7dzZ7QffrApEnmv1PEQhGNkZyczEMPPdTs223Jkj0hNizbVUz6fb9l0Hsvs2HCT1ly819wOCSUoIEalqnyyGR0UI8s5uLQGTVELOYitA1tKqg2O1doJB4uCQipOq7DwZNmmIFwotNKUpztpPXSn20txG6RGdAhEVkyg4wKf4idRT4yEhxYJDjoCYABmQl2XHYrRZUhFE3H5ZAJKvrhLDGkHy7l2F8eYGS3VAzMeuj6Mow13THiHVYSHBYqAwoFngATBtR/Oe26kZ2Zu3IvvpBKapyNXSV+rBYZlyyh6AaqpqNoBpqu43bYyE50nDAAqx2om8fLxoAOifiCKgWVIdbuKycrwUHPLLOOPMFpQ8LsrNItw83uEh8WqSZXbpazuB0WFM1A0TQSD3cqcdosnNu3J7rRg5XeINOuHAS6bmYlN22CH36At9+GwkIqcrqxwUgnkNCBlM49UOMSOOQNEghpnN8rHafN7JJy/cjOdfaj9v7NXrCRVLeVHpnxkasLqqaRV15NoTfI+T3SyC3wNjkorS8YbpfopPJwacTxllWHugujnGgCYUuWhhwvQ740t4wRXdMa9J4TB2Tx0nIfw+wB9H37cRYcJNtbwsXxQbp8UQalpdCuHXTuDDk55knUtGlm8FzPlQqh8fbu3curr75Kfn4+qqpG7p83b16Tt93cJXtC7Pg4t4D2v36AQZ+8xtrJt7LyZ39E1iUqvaAEJeKTdZwu8HvNLkzpmRozhqWRXKsMTxDOZG0qqO6Q7GJnUVXksrPDKhNSdBxWC13S4zm3W9oxAc/xWulhmBMx1u33cE7nZNLdTgq8wUiQXuoLY7dIaDqU+RUmdk1lc34lNouMRZZJjbNGyk0MA8b1y0TRYM5JWrntKPIzJCeZwsoQlUFzrL2z3Owo8jO5nufXTDT7/ftbKfeFcdktJDis+MMa0uFWdOrhGuRzu6XSJd2NN6CcMACrCdSTXDYSnFbyyvysz/OYnUgMg8qgGjku2UlO9pVWE2c3y1kskkQgrJOTZgaHlUEFu2z2ngbw+MP4Qir+sPmLvl2i40hZhCybWcru3eHyywHYvvMgr72yGGfuFkbsXUmfz+ejOl3szOzKltQcSj09yR4zjB8fdZJwdHmEwyJRFVRJdzs5p3Mymw542V8WIN5hZVT3VOxWS7Nke+sLhi0WmTvHdq8zKfHoZdWPrnE/0QTCV/6fvfsOj6rMHjj+nT5JJr0Rei/Sey/SIQQQQVFRWd1Fd1UUdFfWgmLDjiu6KquIiv7EgqLSBBRQKaIiiASBUBJCeplkJtPn/v4YMqZCgMAkcD7Pw0My7Z47M5k5973nPe/3xy7Y8t/VjZCrUPl7QpdOMLUVlxBVnMcx2zGa2wshPR1OnKBDWhpPHDlOpiaIzIg4vI2a0GJMTxp1be9Lohs2BO1l9dF00d19991Mnz6dadOmob7M68vFme3OMLM/vZgu/55H543vs3PSnXx308NoNAr6IC/FZi06g4LXrcJmAbUGYuO8XCUJtbjMXFbfXGM7xbMv3cyBzCJcbi82pwe7x0tEsI6WscEcy7XwR5aFxpFBPLByL4UlTvadLCYyWEeHhFD2nSzCYneTEG4kNMhXd2vQqjicbSXGZCTP6qRhhJHWcSa+3p91qiZag0GnJsZkxOEuQKtW0yQymOxiO06P1zfZT6fGoNWixnPGCWDphTaaRoeUq7/1KsoZE6Y2sSF8Z7YToveNCocZfaO3Oq0ao9aXULeJ9/WsPVMCVjGhyyhy0L1JBC1iTZiMWn5JLQTgUJaFFtEh5BQ7CDPqKLK7MGrVWBy+VfS2p+RisbsotnuICtGhwldLrNNoCNZpMNtcnCy0Mbpj1aPwyRlmlvySy97Y1hQEN0GrUePxKHTxFtE29xgtjh/mqm0f0+OHt3xlIp07Q+fObFRH8/xeC24Ffzu3YsepfuVRwUSFGFCrVcSHGenbMso/WRHOf7T3dMlwxYOisnXiVdW4V9eB5kIu/13uoMCgwZ2bT3D6Ca4tyiXyUA7BuVk4j6cxpSgXU0kxhWFRpO1oSHDPdsS1b+Ur22nalOAmTWhpNNLyvCMS50Kr1XL99dcHOgxRD2xKyeHwUQeDn5zLFZs/Zvs1c/nhmvtRAEuRGmOwl8atXdisGlx23yyhhAYqxneLkoRaXHYuq6S6Q0I4U3o05Pn1FkqcHvQ6NREhOrRqNUdzSyi0umgbbyLYoGHnkXzyrE7iQn11rb+mmSm2OXF5Fb7en0WDMCPWU+UiZpvTl6Bq1DQI83WTaBlr8q/69+dkLN//vsVLFP9kRJVKRVp+CV5FQafVnLYOtlFEEMdyLf6R6jCjrvxobgVl62sHto5i/8liMovsxJoMxIcbSc0vQa3yjaZHWuzEmIw1SsDKJnT3fbzHPzIaG2qkR9MIDmdbyCp20L9VDGM6xXMwy8rvJ82cKLDROzaEEqeHk4U2CkpcBBs0mAxaMovsKKfOAATpNYQF6WgbV/0ofGmZQ4zJ4G85qNXAQX0k+e0bQPt+mNvF0WNQE9+CHvv2kffZV0R+u4MngZNNWpPSoAWH41oQ1fkKDGG+DhzphTacHi+9W0SWS6hrayLg6doxnsvtKjqb3tKn24/kk4Vs3v4HluMnaOkqpl+wgw42Mw+lHCf3j2PosjLQGg2EtW6GO6ERm0v07AttTN7AbuRHxpEVFE73FtHoNBp+qsFiMeLiufLKK3n//fcZNWpUuVUUIyIiAheUqHM2peTw268uxv5nNu2/+4zvr5vHzzfeg17lxVKoQaNRUKtVFOX6JiPqjQpDexpkIRdx2bqskmrwlU8MbedbkKX0NHW+xUlqfgm9mkbSItbE9iN5mIxa8kucWBweIkN8vY7zS1wE6TSo1b6FRhRFwe72olGrCQ/ScdfwP0/Zt4wJ9q9+eEXDUMw2V5WLlxTa3AxuHe3rAFJmEZTStmqPfLGfplHB/n7GBzOL2HIol2Cdhvgw/RlHc8vX1+qIaxdUbqXEOJOBg1kWzDYXPx0roH2DUNRqdY0W9yhNyPafLOJQVjEdG4b5W9TptRr6l0mkEvGtcNc4Mti/j77n2YVOrSJIr8Xh9mIyaokPMzK8vW9/TjcKn15oQ6cBq8ONxeHG7VUI1qlxehQsdjdNo4N9E9+CgkhOaMW6PBNft29OZoNEOmpKaJ+TStOTKVz1w0oarVpMSYOG9EgcAp07szQyiBOq8n0Pz3ci4MVYrAVq3ls6OTWXFat/IcFWyEBLPprsLI79L5MGwS402VkYD6cyJigYe2wcBWHR7DJFQt8ONJrem+hGjXxlGmW6awTtTWflF/txuj2YNDq6xYUSYzLW6EyKuLg+++wzAP/Kh+BbbKo2FoARl4ZNKTn8ttvBuOdvp93O1Wy+cT7fjbkTo03Bq6iIauDG61Zjt6rxKBARqTCuV6h09xCXtcsuqS6daJVTbPcvdR0ZrCUr08bBLAsmoxaL3Y3JoEGrVpFvdeL0eLE5feUBXgV0KpVvMp3e9/S9cE0Xf8JSesre4nDTt2UUKsDhUYgL1XFtFYuXlCZW9328h2iT7/FyLXb2pJlJzbeiUatpdao0ZeUvJzDq1DQKN1Bk93Ci0Lfkd/cmEdWO5lY3sWxTcj59WviWJTcZtf6Di4wiBwsmXlGj1fxKE8uuTcLYeaSAnUfy6d0i0j8xsGJiXjEWi91NqEGDxemhX8toAGxON27vn/c53ai5QaPyL8PePCaYjEI7FruLYIOWvi2juLF/M/8S86WxooBOo2afJwRz6x78dkUfFEWhyFzC9ZF2eoQWw7ZtTP31N/IOp1ISl4C1YROyYhqSHtGAkRP6sXp32llPBLxYi7WU6hAfSgeNA3JckJ0OW3dDdjZkZEBmJmRmEnH0JNebwnHExmONisUaGUNuq3asb5CANSqWjKAIQsL/TJrNNhdHg3TMubLyiHNyhpmNyTm+18q3HChHckuIDNGj09Re9xRRO853OXJxaduRVsC+3Q4Sn/4rbX5ezze3PMG67rcR5AS7AlHxHkrMWtxuMBi9XNlHlhkXAi7DpLq03vRwjtXfZcLu8hAapAOVr4WayajFXOLE7vKg4Gt95/J4UalURARpiQgxYHH4OlWEBelqVOda1unqYF0e3+p/BVYn+lOTGnenmtGqVYQYtORaHLSMCSHKpPK3fmsWE8L+ahbkqK6+VkHxTywrHV32Kr5+yTVJ8iqOgPdvpWJfehF7TpgZfUWDantcl43FZNRSVOb31nEhbE/xJcleRTnjktily7ADhOi1NIkKJs/iJDxYh9Oj+JckLxtraJAOj1chp9hBdpGDmFCFLLMDp8fLH22akty/GR2uu44wIP14Dj9+uxvXoRRaFWcxrfAA0S9sZNJvh/FGRGCNiccSHY81Oo6i6DiOGSKga4Sv7V+FyV+11pHD7YbCQsjP9/2fm+vr3Zyd7fs/K8v3f36+r1NGXNyf/2JjYdAgSEiAhARe3HKSBpEhvlryU0rfAwAJYTWf7Fi6f77SpkIMWhV6je890TLWdMYzHzUZxb9YI/2Xi4MHD3L48GGczj/bOU6ePDlwAYk6YXeGmR93mkl68lZa/voNa2Y+w/Hrb0SVrMZm9ZLQTMFu1aAoENfAw+SeMhlRiFKXXVLdNt63rHV6oY1Qo4YQgxaNWk23xuGknBqt7dU8gnW/F6NCReMIA8UOX3cDg1ZDZIiBER18pQkVk9XzUVoHeyTHgl6jwunxosK36ItGrSK90EaL6GByLZTrXlJkd5GaZyUtz0ajiOBKo6DV1dd2bxJBsd19zpPZKo46x5iMDGlrIMNsZ86otlWuulcxlgahBjIKbbSLN/nqyTUaWsSEEB9mOO0CNKWcHoXeLSI5kluCxe5Go/atEOlwedGqYfMf2Xy2Ox2NGvqeGpVvHRvCLzYXMaF6sorsHM91o9WqGdAqCl2FDh8dmsXSYeboStv9fF0ynoxMEqx5hORlo0pPx31gG50Kcjj20SvE4SS4aSNo1MiXzIaHE3+omGZxMbiDQ1B7PKgUBcXrobDYDo6DYLdDSYnvf5vN97PN5vtXmkQXFIDV6kuWIyMhKgoiI8k0hvKLTU+aoRXBAwbRt1972nZsecYOGg2jik47ofFsJjuWvh/UKp2vpt6/9Lvifz6rS4prMop/sUf6L3WvvPIKO3fuJCUlhaFDh7J161Z69uwpSfVlbkdaAT/uKGDi4zNptu971v39RbZ1vxF9hkLb7g7MeVpcThV6g5fOHdSMaNUg0CELUadcVkl16Snqdg1MmO2+emmHW6Fvi0jaxIeh06jJKHLg9kJEkJYQgxZFUREdaiQ6WMfR3BJsLk+NRlHPVmkd7NyP9oACQXoNJn1pDL7a3mKHhwZhRv8S5oqioNeo+SPLQtt4U5WjoHNGta2yvhYqryp4NvtT3Qi4XqPiwZV7+e5wnr9rStkEqGwsLWJNdGwUyqYDufx6wkx8mJGb+zclsUujs4qh/6nSkR1H8nB5FDRqlX8Z9Ygg3wTIXUcL6NtS5Z9I+fvJIv+iLqW14KWqGz0uTQp/z7JwwqyhXXxLghu2YWdIAaq20LtFJNt0WqxmC7e1MdLaXewbNTabaejKRLUvDY3NSoHNg92roNJoaBUWDNos36ImwcEQFORLmBs29P0cFAQREX8m0WFh5UbByyaboUYtGXY3vxwoYVac9YzJ5pkmNJ7N+6Ps+6Hs0u+ly8ufLimuySj+uYz0y8h29davX8+qVauYPHkyCxcuJDc3l3/+85+BDksE0PpD2Rz8uZirHruRRn/sZNVti/l90DUEq72o1SryTmrxKmAM9jK2bwjta7DqsBCXm8sqqV63Lwuv10tmkQOjToPTrRAWpCXX4iQuzIVarfbXEy/acLBS0qjTqMksdtRoFPVcdEgIZ/QVDTDbXDjdvmWy7S4PiqIQHazH6nDTvUkEwQZNuUmOWcUOmsWEkGuxczjbSpHdRajBt4hN6eNWFWdNJrNVp6qErHSp71yLg4gg31vr1zQzPZpGEB6k8yf5FUcfr0gIo2+LKIrtbjYm59Ay1lSjOCrGkGtx4PF4sTo9ONxevKf6YqtUYNd4+P1kEUPaGtBrNbSMNREXZqB9g7By5Q/VlTiUTQo7JIQRrNPwR6YFp8dDqFFXITE38WWxjjmjuvrvHz/GzPPrD3I017fYjQqwODw0jQ6mpGejcj2qzyb5e2/7cY7kWHB5FExGLa1jQ/zPdU3KkE73Hii9bn+GGbPN1+mmtKSmqgVdqno/NAw3ct/He0jNL6FBqKHKpLiqun+7y83Oo3n+uPZnmGnfIKzcbU5XjiIj26dnMBhQq9VotVosFgvR0dFkZGQEOiwRIF8eyOT4LxamLLiOhMO7WffP//JT66vRexXCIxTcThUeDwQZvYzpIwm1ENW5rJLq/RlmUvNKMOo0xJoM6NRqci0OHC4v/VvFlEsoqlukoyaT+M5H6XbDg3SVOoQMaB3tT77KTnJctOGgv8e2Qasm1KClyO6myOY+7SqA59qyrfS+1S31fdJsI9SgRXUqWT2cY6Vvi6hKCdD51hlXjMGo02B2ebG7PDjdvtEVl+IlRKdBp1ZRbHeVOyBavv04Ww/m4PR4CTPqaB0XUu2kuoqxtog1EWUysPNoHkPaxp4xMe+QEE58mIFci8OfAHdsFI7V4WbxphT6tYo+6+QvOcPM94fziAzSYjJocLh8B2LdmoRjcbhPe9+ycZ3u/QGQml9Co4hgQk/1Nq8qvoqvRYndxdFcK6n5JUSH6DlptlFU4sJk1PoPPkqfp4pnPXKKfWcWTEat/zlJy7MRrNOUax15unKUC7mq5KWgU6dOFBUVMW3aNKZMmUJwcDDdu3cPdFgiADal5JD6SzFT5l9L/LHf+PKf/2Nft0RCdV4Ujwq7VY3iBX2QlyE9jJJQC3Eal1VSbba5UalU/r7Req0atcpXvwxwJMdSLkkc2SG23AhibY9MV6VsclKxQwjg7/BRemr7re+Podeo2HvCjKF0lchT5SFt400XNImobqnvMKMOu8uDx6uQZ3VQ4vTicHno2LD8SGN1nUnOpv1a2RgeXLmX7Ufyfcu/q1WnurUoaE91agkL0vH8NN/ocXKGmZNmu7/Ti83pZntKPi1iQujdo2GlevDqYlWhqnFtutOjVErAD2fn4vYq55T8rduXReSpsxFl39fJGcUMaxdX4+fwTNuoaXJa+lokZ5iZ8+EejDoNYUZfq0Sb04tO7eFwjtWfVJc+TxUPYH8/WYQCdGrkO4sQHqSjbbyJP7IsRIYYalSOUhvvrYoupXKSRx99FIDrrruOwYMHY7FYaN++fWCDEhfdjrQC/tiex9SHpxF94iBf3L+U/Z3H4PWoUOkUNDrwekBnVOjVRSsdPoQ4g8sqqQ4zaikqcWF3eXB7vKQX+rocRARp/S3rujeJoFlMCGabi43JOQE5XVzd6GFyhpnl24+z/UgeuRYn8WEGejaLRK/VUOLyEGLQYHF4fKOgDcOINhn4/WTVXUEuhNIRx9ZxIfxwOA9ziQuNGgxaX+KZVeQoN3Je2yv/OTwKfVtGsva3TEqcXtQaCDVosbu85BQ7KCxxsmjDQcZ2imfdviyaRYeQEG7kcI7V197PqMWgUbExOadS2UCwTl1l8ty9SThmmws4c+1xo4ggjuZYyCx2+JJ5o5aThTYaVtjfislfdclceqGNKxqGsjvVDOBfTKjQ5vb1564Fv580U2Rz+d9XrWNDiDYZTpucrtuXhdur+FbJPJXsx5j05BQ70KjVleYkVBzldp16HWNMfybFzWJCKHF5/IvznOkgt7bfW5daOcnNN9/MO++8A0Djxo0rXSYufVuP5fH71gymPnwNkZlH+WzeOxzpNhyvXYXB6FvUxesBrU6hV1cNQ5pHBzpkIeq8yyqp7tgwnGCdhsxiB+mFNgxaNXqtCpdX4YeUPNweL9uO5Prb6jUINdSZ08XJGX/W5FrsbnQaFTkWJztS8hjQOoYGp9qfjSgzQnk0x8KJAhuNIyt3BbkQ+1S2dMWk12Cxu3F6vTQND6Jrk3B0Gk255/N0E+XOZVSwNJFq1yCMAqsTi9NNsc3lS/CCdcSF/fkcFNtddEgIQ63S+UdOvYrCpuRsf/9u+HNk1un2VJk8zxrSAqBcrL2bR/jPIpSNvW18CCt/OUGIQUuoQUORzUWR3U28x8P2I3n+RLtBqIEWp06xni6ZK93fns0i/LX0eo2awa2ja+X1Tc7wrYAJvgPS0vKStnEmf3xlb1v6HPx+0oxBp/J3qSl9HkucbqJM+irnJJQ9kCydz1BWsd1Nx4bhNV6V8WxWlayJS6WcxOFwYLPZKCgowGw2+ydBWywWsrKyAhyduFi2Hssj+duTTHt4KuE5abw9631yOw4Gl0JYlBePU43b7VshsV9XHf2aRAY6ZCHqhcsqqfZ90ZZwRUKYL9nyeMgqdpIQbsRit2Fz+com4kMVHC4PB7MslJxaavxiqiqhXLcvi1yLg1CjliK7C4NWg8frxebycjjHSoeEULal5GO2ufxJxMEsC+0aVN0V5EKv5Ffs9NAyNoTWcaZySWvZEc7qJsoB5zQqWJpINQgzUFjiJMyow+HyEm3QYNRraVOmQ0p6oa3KkecSp4v9J83lRma9isKeE2YaRQSRXmgjPEjLFQnh/qQwOcPsf4ycYjv70s00iap8IHMwy0qPphH+JebDg3SYDGoOZllpGBHkT7QzCm2MOTXSfLpkruxBTJ9TEz3NNhcz+jc77etU0wOWdfuyaHeq7MLh9vpLiw5mWfj7la3KPV7Z1+tQVjF5xQ60Wl+XEl/rRzchBl2N5iTURkJc01Ula+pClJMEwocffsg777xDdnY2U6ZM8SfVJpOJGTNmBDg6caEV2l18cziPnB1ZTJs/BVNBJktu+5DjbQdBrpcmrb24HGo8HggL95LYO0xWSBTiLFxWSXXpF+1724+TY/Gdgg/Ra9BrfcusqlQqtGootLloHBmMw+2lyF6zCV+1pbqRSYvDhcPtIcyow6BV4z7VOq50SW6jTsug1tHlTo83iQ6iaXRIuce/WIlAsF6Dw+2lTPlwlaffqyp1WbTh4DmNCnZICGdkh1he33yE9EIbHq8CikJCmIGuTSP85QShRi3hQVr/aKjd5SY5o5jMIjt2lxcVDmJDDThcHral5OF2e4kONdAhIcyf4FXXY3nrwRyK7W4ahBtQq3TlYk8vtNE0OqTcZLvtKbn+fS1NtNvFm/wrZJ4umSvd33e2p5JVZPe3JDzTUuk1PWApjddk1PpHwsOMvq4yZW9bMfHv1CiM7Sn5p0p/1ORbXWjVKu4a0eqcJqCea0J8PhNxK6rtcpJAufnmm7n55pt57733uPHGGwMdjriICu0uvvo1H/vedK59eApBlgI+ffQj9nsHYPR6iG+kYLOo0eogoambGb0SAh2yEPXOZZVUl7K5vAxoGc2WgzkowMlCG4qinOr77EsGS1vZhQdd3KeoupFJX7mKL7aoED0nC+14vL7FTnQalb8UoWwSUVVbwPOtKz3dCGe5pcsbh7PraAHbU/Lp2zISg7bqpcurUtNRwYrx+MorTlJQ4iRYp/EtL+/ykm1xlLtfsd3NFQnhjO0Uz3vbj7MtJZ/IYB2xJj1Wp4c8ixOdRk1EsA6L3Y3bqzC0zKQ5+DPBr/h6uTwKJoOGw9nWckl8VV0uci12DmVbUJ868OhxKvHPLraxYb9vv1LzS3C5PZW6Xhg0Kh5YudfX/SNYx4BWURi02jO2JDxTGUPZ5zQ1vwSny0OLWJN/X6pa8KiqhYD6toxkT1oRTaNDaB2nQgV8+0cuB7OsNSrlOd+EuLYnFdZ2OUmg7N27l4SEBH9C/fnnn7N+/XoaNWrEnXfeSURERGADFBdEod3FZ7vy8ew7zrT5V2OwFbNi/sdktO5OA7sbc66GvCxAgchYN72ahQY6ZCHqJfWZb3JpKU0qWsSaaBIVjFajwntqlDoh3Ij+1Clro05D+wahXFHNhMFFGw5y38d7WLThYLnT/+fLt9Jj+UQ+1KglzKglxmSg2O5GBUSH6HArCqhUdGwYVuVI49hO8ZhtLsw2F15F8f98LpPYShNms81VboSz7L6XTdjiw4Lo2zKKUKOWPWlFhAfpalzL3SgiiOIKZwgqHgyUxnM0x0JqnpXVezOYv2o/v58sxOLwoFKpCNZrMWrVFFhd/HS0oNJz0CEhnNhQI8PbxzGsXRxeRUWsyeArB3K6KXb4lnOPDNGVmzRXNsGv+HqZjFpUQJHdVSn2sq9HdrGN7Sn5KEBUsK9bys/HCzmUVcTWP3LJLCxh84Fskk+a2ZicxZ60P+NPyy/hpNnO7yeLiDx10Lc71YzL4/H3qK5Ode+v9EJbpdc4IczA7rRCjuZYTvv+qer1Mmi1jLoinlsHNcfm8qLTaqp939S2mrxXz1bp6Hl4kI4Ms/2s3s91ySOPPIJO5zso2rVrF88//zyTJ0/GZDIxf/78AEcnLoTdGWY+3pmLZ/cRrn1oMjpHCW/OWcnxRj1wuyAsykvD5h6i4z0kNHMzrL9O2uYJcY4uu5Hq0lG1XIuv84fd7cWoVROk8y1XbjKo6d0iEqNOW2UCcaG7AFR3mrljQ9/I6vLtx9mdZkajUTO+UwNu7N/stH2Ga6uutCYTtSqOWMaGll+6vKZqMiq4bl8WHo+Xg9m+3ty+DiMunB4FgxZ0Gj1alYoQgwan20NqQQkf/5SGWq2iaVSwP/EsG7Pp1GS88CAdDrdvUZdMs50Sh4ecYjsqFRzOtpJrcRBtMpCcYa70eulUsCfLgqIofFySRtu4ECJNxkpdLjbszyfUqKVdvImjeSUUWJ3kWhwcyCwGIEirIjRITZDON+Fzd1ohOq2aKxLCcYb5FrDJKnL4FpIp7QeebaVPFf3AyzpdGUPF17h0dDyjyIFep6n2/XO61ysQE/wu1DZrs5wkUDwej380es2aNVx77bWMGTOGMWPGMGnSpMAGJ2rdjrQCtu12Enk8hWnzp6BCYcWCT8k0dcJbAtFxCm6HGo8bDEGysIsQ5+uyS6obRQSVWyilSUQQmUUOHC4P3ZpEEBGsx+nx9Q2uKoG40EnC6RKUDgnhPDmly1k9Xm0lAjUpyaitutOaHAykF9rILLJj0KrxeBUyixzoNL4ac48XLA43JrR4PF68gF6tIiJIDyoosDo5lmthydYSgsq0ymsdG8IvqYWYS5wU2FxY7B4cbg9ut5dNyVmoVOD2gNPjRa2CZ9f9wdSejdiYnANARmEJe9LNaNW+1TdzLQ5yih30aR5Zbt9K2+ElhBvJszjYe6KQjCIH+OaMoQbsbgWjRyFYryE0SIvTo3BFgq/7xX0f7yHapPUfBBhP9ScvsrvO+Hyf7v311vfHKr3GTaND0Gk1/v7eZ/t6VfWYF7qu/1KZVHgheL1e3G43Wq2W7du38/jjj/uv83gu/qRsceHszjCzbbeL8D+SueaJaShqNR88spKcBu0Ixrc4lselOrX0uCIJtRC14LJLqsd2imfOikzAN4mqxOk7bR0WpCPX6uKuEW1Om4Re6C/s2u5aUFtqkjDXZIS5prWuZzoYaBQRxK+phUSF6DhRaEOrVmHQarA5vfjmJypYnW48XtCqfb2SDTo1Rp0Gu8tDZpGDDglhuMq0yos2GWgbZ2LLoRxcHi9GrYYWMSG4PQpHc614vQrRJgNNwoLQatSk5pXww+E8/+v11d5CjFoNEcE6CkpcRAZr8Xh93Vkqns0o7Vl9MNtCoc2FXqtChQq7ywsqX2JtcbgJ1mtQALUK/3vMoFHx9b5MMovt2J0eQgxaYkx6gvTl69are66re3+dz0FR6X6VPm7pmYBATPC7VCYVXgiJiYnMmDGDyMhIjEYjvXr1AuD48eOYTJJQXQoK7S62HC7gcArE/PEb1zw+DbfeyCu3f06+uhXRWg+h4QqOEt/S4+GhXib0kS4fQtSGyy6p7pAQTuPIIIpsLnKKHRTZ3USH6AkP0pJRWMKcFXtoHBnkL7eomNhV9YWdmmclo8jBfR/vqfcrrVWnJgnzmQ4IarN0ZmyneNbvy6TI7sbp8qJW++ri48P05Je4ABUer4JBqyEyWIdGrcKgVWN1uMm3OrE63SiKQliQjntHt/XH3CLWxL6TZkwGLUH6P/88VFjRatQ0jynTTUVR2J1WyFNTutAhIZzPf00nzqTnpNmOVq1Cq1GhVqkpcXn9tc5le3TP+TATVOD2nprcoAL9qdF2ALdHIc/iRAEahBloFBFEcoaZQ9kW0s2+PuvBejUWu5sSl4fh7WL9z2Xpc+3xeMkssvNraiHr92Vy14hWJHZpVOXzfT6T8ap7bUd2iPWP5F+sCX6XyqTCC+Hvf/87/fv3Jycnh4EDB/pLh7xeLw8//HCAoxPn60COhS2/WbAUaYjZ/wvXPnUtjuAwPnjkE+zBLfEUqMhK1VIUrKDVKTRppjBtUBQRRt2ZH1wIcUaXXVINvkVgzDYX+zOKCAvynT4vLHFS4vQSYoCiUxOySpOCskuVt40PKZckpOZZ+SW1kO5NIs4qUaxuFLGurtxWVcJc3SIn59p54mzjuWtEKxZ/k4JHUVArKmJMelQqFa1iTRzM9vVWDjFoaRETQonLS4HVQb7VhQoI0Wsosrv9LRPL1nx/vT8TVcUNVrrAV62hKnNFfJiRIpsLh9uLXuOb8OryKIQYNFWezXB4PBTb3Xi8XhQVRATp8HoV8qwuvKWbVSloVGrsbi9t40NYty8Lh9tLQriREqcHh1tFZIiWsCAtEcF61u3L4oWvD7I/owiPx4vbC9EheqJCdBTZ3Sz+JqXa7iDnc5akutf2YJb1op95qatne+qKbt26VbqsRYsWFz8QUWsO5Fj46Vgx2Zlq3E4NDX7fybVPX0dJWDQfPvop6dpmhIZ5iYr34naqUBRo0EBhQvdISaiFqEWXZVJdOpKVb3ESGazF7vKQa3ESHaInzKjF4vBNVsu3OFj8TQr9Wkb7E9yNyTnlEu2MIgfdm0RgMmr55kA2WUV2PF6FQ1nFPDetS7XLjVeXONflldvKJsznkvyfqXTmbNugJXZpRMtYE8u3H+e7w3kYdRoSwg0czLISatAxvH0kJQ4Pu9MKaRUTTIrVhcfra53oVVRYHDYahBlZvv24v1Y9OcOMWqXiULYFlcpXOmLQadCqS8szPP5FUPIsTqJC9P4zFCPax7B8Rxoo4PJ4UBQVTo+XdvEmth7MweVRWLThoP/ALMyoI9SgJUSv4WShHavdjRdQqUBRIFinJtigpUGYkZYxIf73nMPtITJYT1SIL6FXFIXsIjvfH86jW+NwTuTbfKtZnlqwJavITkGJE0UBj6KwfPtxZvRvVuVzfa41+Gfqp11bKzzW9P1xKUwqFKImth7LY/d+F26nFpcTmv7+A1OfuYHiyASW3rcSZ3gDYiM8eJxqHDbQ673066aXVRKFuAAuu5Z68OdIVpTJVyrg9Sq4vV7yrU6O5Vn9fYMzi+y4PL5T96U9isODdBzMsjJnVFuen9aVplHBBBs0bDucS3qhDbUKdGo4lmvl+fVVt9srmziXfdzShKG6lmd1yen2oToGjYqtB3P4en8mO47kkWux+2tdz7UNWoeEcGb0b8bg1tG4PAo/HS9Eo4a+LaOIDwuiRayJ7k0iKHEr6LVqdGpwexV0GjVNooIw6tR8dziP5AyzP4aYEB0ovrIMm8vrT06bRQcDvnZ5JU43HkWhZWyIP94DmVZm9GtyahTZi0atomNCKJlFDortbro2CcNsc/lG1z1eOjUKw+lRiAjWExWixe724nJ70alVNIsy0jQ6hNFXxDOiQzzNYkLYn2EmNb+ErCIHx/NK/PMBHG5fP+7IYB2ZxQ4MOjWhRi0K4HB7sLu9WJ1u1GrQqVV880cOz677o1ZbztWkDeL5uBBt8oSoz3ZnmHnnxwx2/erFbtXgdECL37Yw7enrMcc04a1/fk5xZAKKV4XdosbpAK1WYWgvoyTUQlwgl2VSDb5kbMHEK2geHYLV6cGgUaOgnFqh0EVOsZ18q4voEH25+1XV8SI5oxiby4tBo0KnUaNSqQkxaMm1OKpMMk+XONd2cnKhemqfbfKfnGHmpNmOxe5Gr1Zhc7rZnpJPWn6Jfxn2s03SSx93ydaj6LQaRnSIIzxIh0ZV/m3dLCaEplHBXNOrCQ0jg2kdZ6J5TAgmgw6VSkVksG87pTHY3AqNo4KJNukJMWgJNmgZ3CaWbk0iGNYujk6NIogMMdC3RRTNY0zl4i1xKnw5ezCf/L0/0/s0JaPIjsXhBhRSckpwuj24TtU5x5iM9GwWgVGnwe31TZa9tk8TujWNJCLYgEGr5nCOFfDV7R/KLKbQ6sTl8VJgdXIk20KB1bcyqEoFVzQMxWJ3Y9CqiQrRo1aB062gUYPXCx4vRIbo8XoV8q3Os36uT6c2e6JX5VzfH0JcagrtLj7bl8WmnXZyT/pGpxUFWu/ZxNXPzCA/vjnLH1yJNTIevQF0et/1eiNc2cdAdzmDI8QFc9mVf1Q8hazXqE4lhwpmm5tYk45gnYbfTxahVasqndKuquPFZ7vTcXp8/a7dHgW3VyEh3IDD7akyyTxdd4LanGR1Ieuzz7bDwrp9WTSL9o3qHs6xYrG7CTVqiQ8znFfrtYrlMjEmA2abi8M5VmJDjeXiKn2tIoO0KIqCw+3F4fbSrUm4fzsJ4UYsdjcRwToiQ/QoikKxw03T6JBy/bbv+3jPaeMtfX4/251OgzADBp0Gh8vDL6mFGE8t3e2L10iMyXiqlOTPRWZ+Pl6IXqOi+FRyuietELcXwvUamkUFk2H2JetZxQ4SOyegAnRaDSoVHM8rwaMo6DQqHG5we7zoNGpMBg25FicOl4f0Ahs5xXb/c3SuZ0PK/j0F6dS43B4yzO5ar2OWNnlCnGqTt9eO3aampEiF3qigAlr/tI5Ji/5KTuP2LJ39Md6wSOJivDjsajweiIiAsT1N0uFDiAvsskqqq0oyf88oZkArX6lArsXO4WwrZpsTtUrNXSNasTE5B7PNVWWCW5pQaNS+0+xuj5ewIB1xYQbUKhUaNVUmmWfqRX0xF2w5V2eb/JcmRWqVzp/IeRWFDLNvEZ5zbYNWMdlqHRfCT8cKyLc48SpKped2UOtofj9ZhMXhwWTU0rFhGHqthvAgHTnFdrYezCG72E6eRUVsqAGNWkWYUVcplpp0gcktthMZ7LtepfK19QOwuzxo1apy76uyB3ClI9j70otA5euZrlKriA7S+h5Dp6GNUYfd6cbpVXhqSheSM8y+ko4S30RJtQrUKhUGjRqtRuWfK2AyaChxuiiye1n9WybRITqMOi06jW9lzrNR8e+p9Lm+EJNqpU2euJylmW1sSykkPU2N3ab2dTs6dUKuyTdfMvnN28hs3oV356xA1yAMtRqsxWq0ehjcWyvlHkJcJJdVUl1VkhkZrCM5o5j4sCD/qGHpl3fpRLiqEtyyCUXfFlF8fzCXQruLEL0GFb4v/BYxIVWe/j5T4nwxF2w5V2eb/J8pKTrXEfqKjxtjMtK+QSgZRQ4yzPZKcd3Yv5n/dSu7nd7NI9iXbqbY7iYySEeOxUlqfgmRwTq6NYmoFEtpvAVW33YyzDbMJW66Nw33H7B9dziPjgkmjuad6i+tVaMoCjaXl/vHti3XVabiAZxOo6FlrMmfoG7Yn1W6NoyfAjhcHhZtOEh6oY2cYgcheg06rQrHqZVCNWoVbo+vdaDN6Sa72IlWrUGt8lLicGF3eWgaacTuUpFV5CA5w1zj997FnFQrbfLE5ehAjoVdR4vJyVTjdWtxucDrUQEKihdafL2SqW/fwYkWPVj//PuEm0KxW339p2OiYVQPGZ0W4mK6rJLqqpLMKxqG8sPh/GpHo6tLcMsmFOFBOoa0i2XXsXzyS1zEhWro3zKKGWdYQvxCdye40KN7Z7MPZ0qKznWEvqrHVavVLJh4xVm1jVu3L4smUcE0CDdwONuKW1GwOtyo1Sqax5gqdZrokBDOyA6xLN6UgtvrW8UxKkRHVrGTPIuD2FAjkcE6Tpod9GwWweFsK0V2F3qNmsGto0ns0ojECrFVdwAH0L1JONuP5KNSqfzdR/KtTrQalX/y3q+pvkmaA1pF+8tIvIpCckYRJwvt5FmdGLRqYkMNZBfZURQ3bq9CicvLsHax6DSas0qIL2ZJhrTJq/vWrl3LK6+8QkpKCh9//DGdO3cOdEj1UprZxraDxdg8HvIy1Xg8Whw2FWo1aHUKDhfkHNcwPuN9xi29h2Nt+rHygeV43SaUAggLhwl9JZkWIhAuq6S6qiTToNUyuHU04UG6s/qyrphQxIYaGdspgQyz/bRLOl9MdWl0ryZJ0bkcaJxLslXVdkprutUqXbmEtGwddUUHs6z0a+V773y9P5NQgxaH2+uv5+6QEMq2lHx0Gg19WkT5n/8Z/ZvVOK5SM/o3I7PIQa7FQZHdhUGrQatR06VRuP/9HGXSk222sfmPHMKD9JiMWhqEGujYMJyODcP5au9JokN8vby9gMmoRatWEx6kJ8ZkxKsolRLi07Wxu9glGdImr25r27Ytixcv5pFHHgl0KPVOaSJtcXgw56txu1SoVVpKLL5kWgU4bKDRgtMJQ359j3GfzCG922DWzX8HFSHoVNC6qZbBHUzSe1qIALmskurqksxzqQGtazWeZ7skdSBcqKSoNh73XF7PsgdWYUadv4e15VT3FqNOy6BzOGCrSoeEcO4b41v5cX+GGbPNjb3ITmaRHZNRS2yokehgHQdOFoEKGob7FqLJKLQxplM8LWNNrP/dtwJlmFGLRgUOj0J4kAbTqS4uFff3TBNd69JBmwi8Vq1aBTqEemlHWgHbfnVSUqRGp9fidKhQvL4EWqUGj8fXu/7YH1qu6O2k/5alJH08j5RuI1g5923UKiO9u6oZ0jw60LsixGXvskqqazPJrEsJxZmSHxndO7NzeT3LJuKt40L4+XghDreXMKPW31KuqgO2s13kplTpbVLzS2gUEQyKQpHdzS+phfRoGkFeiYtokx6Hx4vF6VvAqF28iYNZVhK7NOKu4a1YvCmFfKuL2FADBVYXXi+0jAn2x1t2f89UMx3og7ZzfR6FqCt2pBWwdacbu01DUb6a8Givb41WtW9kWqsDc76a6Hg3sQlemrz2JknfPsjhPmP5Ys7/CIkwMLxnEO1jTYHeFSEEl1lSDacf1Vy9N513tqeSVWQnPszIzf2bktilUbWPU1dGgevyKoz1xbm8nmUT8agQA+3iTfyRZSHs1GtR1f3Pt81h2de6TbyJn48XAnA420K+1YVeq2ZA6z9rqrOLbWzYn1VuQmTpBEmDRoUCZBc7KLKXEB6kZfn24yiA06Pw+0kzXRuHlxu9r1gzHaiDtgvZLlJUb+bMmeTm5la6/J577mHkyJEBiKh+KrS72HbETPJBhaICNYYgBY0WvKdGpeHPkengUMjN1DLp5xcZ9u2THOiXxIb7X+fKviHSc1qIOuayS6qrs3pvOk+v/YMQg5Y4k54im4un1/4BcNrEui58gZ/LhDEZ5avsbF/Piol48xgTtw9rddrHON8DoLKvdWnrvUNZFrKKHcSHGUkIM/gT6lyLnZ1HCgg1av2J58bknHKJZ2ly2jgyGIfb7ZsMCfRuEYleo2bX0QL6tlRV6vkdaHIgGRjLli0LdAj1WmntdPpJcNhVeD0qCnPVxDXy4HFDYZ6amAZutAaIbehl/y49PYY4mLDlOfp98CwHBk/h8Auvc2PnCKmbFqIOkqT6lHe2pxJi0Jb5klb7L68uqa4rzrYeWEb5as/ZJuLn2zGj4mutKL5lytVAicPNj8dKOJZXQoeEUJIzilEBHRuGoVapcLo9HMmxcO9Hexl1RXyllSx3HCnyr5J5JLeETo3C2J6Sz+8nixjS1kCx3c3xPCsNw43+XtyBOhiTxWBEfbM7w8zGbU4cdhU2ixqVCtQahdRDWuKbuAmP8VBUoCY3U0uDZm7adHXSqIWavsueod+nizBfez3t33+X9hpNoHdFCFGNy3aZ8oqyiuyEGsp/WIUaNGQV2QMUUc2d7RLRsuRz4JzvMvRlX+usIhs7j+STW+xAAdxeBb1Ghd3pYVtKPmabk94tIokNNZJTbOeX1EJQFLyK138gtT/D7E+ki+wuPF4vOcV2/sgs4nC2lXbxIbg8vi4oTrcHtUqFTqspdzCWnGGu5WfpzM73eRS1b8OGDQwZMoTdu3dz2223ceuttwY6pDojzWzj2x1OcjM1WMwavB7fqHTKfi2tOrrY9Y0RjUaheTs3LTq40WpVuKxqrvrscfp/ugj+9jfCP3gPJKEWok6TkepT4sN83RJKR6gBih0e4sOMp7lX3XC29cAyyhcYyRlmcovtfHc4j8hgHR0SQjHqtGc1wbXsa73zaB4mo5Zggwb1qRUbDVo1Rp2G/glh7M8owqjz/YkfzrFi0Pre2+FBev9Id3qhjWK7m/AgHVqVirQCG1q1ihC9FrvLwx9ZDvq3jOLJKV1YtOGgf/VJ3+MEruSiLk0UFj6jRo1i1KhRgQ6jTvphn41isxq1ClxO8HhVHD2gpXELD9kn1XQb6EBR1NitCgN7aunXOALuuQfeeQXuuANefhnUMgYmRF0nSfUpN/dv6q+hDjVoKHZ4sDrc3DW8frSJOpsyhLrWDvByULbkZmDrKPafLGZbSj6DWkefddlN6WtdenC0KTmbIIPvC9egVVNk9y1kFB7kS9gBim0udBoVTo9Cp0a+5chDjVp/pxLw9eX2ehXcKogvXV4d/Cs51qWDsbo0UViI00kz20jL9FKYr0ajgaJCNUHBXpq1cXP8kG+kGpUKg8HL8L56useHwj/+Aa+/DnPmwAsv/Dl7UQhRp0lSfUpp3XTZ7h93DW9V5+upz4WM8l185SfW6Yhr9+eBzbkmgqUHRyajFofLg1GnOdXST0ex3c0Vp3pJr9uXBSpQqVT0bBbun8hYbHfTseGft7E4PTSJDgJUKAoYdBo6JITi9CgkZ5hJzS9hd2oBMSYDreNCiDEZA3owVlcmCgtRnUK7i7XbSygqgCO/6+jUz0G4WqEwV0NwqJd+oxxotWAKVRjVJ4j2UUHwt7/B0qUwbx489ZQk1ELUI5JUl5HYpdElmURXJKN8F19tjvKWdm7Zn2EmLc9GfJieohIvDrcXRVFoHh3sP0gqTTzHdorn+fUH2ZdehMNdgEGrIcZk4NoxbcslpxXPYJhtLpxuD0u2HqVBqIGiEl899w+HctFrNdjdXga1jiY5wyzvHyFOKbS7+PmYlYOpTrIyNWz/OojWnVzs+cFAz2F2Gjb34PWo0GmhXVMdfduGEKFVwcyZsHw5PPKI758k1ELUK5JUX6ZklO/iqq2Sm7JlJO0bhBGs0/BHloXwIC2KSkV4kJbmMaYqu3J4FV8hh8q3vIT/91KlifduiwOH2+NPvBuEGfyj7Cajlt/SzZywugjRe7myfSx6rUa6x4jLXqHdxd7jNlIL7GRlQUGWGn2QmhKLin079FiLVPS+0oHTpiE7HTp28TBjQKzvzi4X3HADfPQRPPkkPPBAYHdGCHFOJKkWl6xA9+Iuu32DRsUfWcW4PApOtxe9Vk1UiJ5/jW13Vo9ZsT9z8xgTkSG+pHfOqLanvV+z6BC6NI7wX2a2uSpNMqwq8c62OGjfwFeHHRtqJFhvpWVMMG4vxIcFlduGJNXiclRod7F+h41j6W5sTjXWYjVpKVqat3WTm6FmUKKN778K4pctRpq09DBuhpWm0ae+fp1OmD4dPvsMnnsO7rsvsDsjhDhnklSLS1Kge3FX3H5qnpUTBTZCjVo0al/Cqj6HU7vnWkZyuvuVJv8b9meh06jo2DDMv9iL2eZif0aRv0MI+Frv6dUqTEZtpccS4nJSOjp9INXBwd816AyQe1JHdAMPiheOH9IQHKIQHuVl0AQbwSaF0AgvHTp76dIsBOx2mDoVVq+G//wHZs8O9C4JIc6D9OgRl6RA9+KuuP3MIgcRwXoiQwyM6ZjAsHZxNIkKPut4zrU/c3X302tULNl69FSPcy8oCr+kFpJT7OvPXrZDSGkfdL1GjcXhoXVsyFnFIMSlJM1s48ONxazb6OHkCTUWsxpFgfSjGhwOX+ec5J/0OOwqUEHLK9w0a+emQ1cPSYODiVDcMGmSL6F+/XVJqIW4BEhSXU8kZ5hZtOEg9328h0UbDgZkwY36JL3Q5l/UpNTFHE2tuP0iu4tQgwZLmcT2XOI524V+znQ/FfiT//Agva+1l1bN4Rwr8GeHkFlDWhAepCPDbKdTwzCaRgej12rOKgYhLhWFdhdrfrCx9xcNaSkaLEUqzPlqHHbIz1FjL1HRpI2Ldt1dHNitp7hQjdcLDRNUTBocQhOtFxITYcMGX6eP224L9C4JIWqBlH/UA4EuZaiPAt2Lu+L2w4w6zDYXYecZz7l2bqnufm99f4wok+9joHVcCD8fL0SvUVF8KlGu2EWkVMV69dLbBLqOXYiL4dcjNo4fVeOw+Uq4igvUaPUKXg/0GOJgz/cGug+103u4nT4jHOh10LbJqS4fLjuMS4QffoB334UZMwK8N0KI2iJJdT1QcXJaIFeyqy8uZC/umiSOFbffIMzAyUIbbeNMeBXlvOI5184tVd2vbPIfYzLSs1kE+9KLQKUQHqSrNmGv6rHk4E9cLo5muMk6ocXp8DXuKMhRc/g3HR37OLmit5Pm7d3gVRERqmZM7xCahJ86eC4shHHjYNcu+OADuPbagO6HEKJ2SflHPRDoUob6qHRktrRkITxIVyvJXWniaLa5yiWOFctxKm6/eYyJeePa0SLWVKvxnK+KZSE6jYaWsSZevKYrc0a1Pav4Al3HLsSFVGh3sfWPIpZvyyHP7CFlvwa9USEsykt4tJe2XV38uMnIhy+G89u3ISSE6Zk6KPzPhDo/H0aNgp9/ho8/loRaiEtQwEeq165dyyuvvEJKSgoff/wxnTt39l/3xhtv8Mknn6BWq3nooYcYPHhwACMNnECXMtRXF6IX99mcNahq+4m1Gs35O1M5SXWj8lVdXpeWMReitpR2+NiT7CYrQ4Wi0lCQqya+iYffd+np0MtBy45uQsO9DBjjIDRIQ4sELd1aBhFhPPWZnZvrS6j374eVK2HChMDulBDiggh4Ut22bVsWL17MI488Uu7yw4cPs3r1alavXk1WVhZ/+ctfWL9+PRqNJkCRBo4sK153XIqJY3UHH9WVc4zsEMvG5JxKlwfp1OVa74Ec/In6Lc1s44tNDk6mQ16uFrsNdAaFbWuM9B5pp3kHF3hVpB/S07G7mxvHhv6ZSJfKyoIRIyAlBb78EkaPDszOCCEuuIAn1a1atary8k2bNpGYmIher6dJkyY0a9aMvXv30r1794scYeDJsuJ1x+V01qC6Ufl3tqdyRUJYpctdbg9mmwuo3YM/mfwoLpZCu4sDqU7yLC6sbhfHjqv4alkIV/R24nSCV4HskxqsFjW7NgTRvpeTiAgP0TFeunbQVk6oT570JdSpqb7WecOHB2bHhBAXRcCT6upkZWXRtWtX/+/x8fFkZV2+tZmyrHjdcDmdNahuVD6ryE7fFlGVLs8wu/0Hf7+fNFNkdxMepPXXVJ/L+1cmP4qLpdDu4uvvnRw/pMGmduNUNORmqflth4HYxm6MIb7uHlmpGnoNc/DrdwZ2fm2kQ3c3nW+006VZhQPrtDRfEp2ZCevWwWVavijE5eSiJNUzZ84kNze30uX33HMPI0eOvBghCFErLqezBtWNyseHGast8yh9HlLzS2gcGUzoqYVjzjURls434mI5kOrk0G4D6jAHudlqXB7ITNMQHuPhwE8G+o21odcrtO7kIuO4lkGJNhKae2jeQmH8wKDyo9THjvkS6rw8+Ppr6N8/YPslhLh4LkpSvWzZsrO+T3x8PJmZmf7fs7KyiI+XxSVE4F2qZw0qllm0jQ9hY3IOUH5U/ub+Tau8vHS0vjYT4Uuxhl3UTYXFXlwlGgyRXlQqKMjRknNC7RuV3mrgl81Ghl9dwhW97WjVaow6deUJiQCHD/sSaosFNm2CXr0Ct1NCiIuqzpZ/DB8+nHvvvZe//OUvZGVlcezYMbp06RLosIS4JFVVZrExOYeRHWI5mGWtNCrfMtZU7Wh9bSbCl1MNuwiM0u4eqblOUvJUNApT8CpQkKGhcSs3Oekaeg93EN/MTbOWXiYPDP2zTV5FBw74aqgdDvjmG+jW7aLuixAisAKeVG/YsIHHH3+c/Px8brvtNjp06MBbb71FmzZtGDduHOPHj0ej0TB//vzLsvOHEBdDdaPLB7OszBnVttLtTzdaX5uJ8OVUwy4urrKt8o4d1JBxJISgcA8H92lo2dFJ805OMo5qaNPZTXSCh2YtvIwfGFx9Qr1vH4wcCYoCmzdDp04XdX+EEIEX8KR61KhRjBo1qsrr/v73v/P3v//9IkckxOWnNkeXazMRvpxq2MXFUzop8ViaihMntPywJghbiZo2HdwktHYRFafQsYcDlVeDGhVNG2jo1jKkcnePUnv2+BJqnc43Qt2+/cXdISFEnRDwpFoIEXi1Obpc24nwpVrDLi6esq3ybHYFi13h52+CiG/hQaVSkZ/l+ypMO6LFnKnHkqOlxywXY3uGnvnBf/7Zt7BLSIgvoW7T5gLvjRCirpKkWghR62UWkgiLuqJsq7yCEoXfdxlo38/Kb7t06MJceBWFyFgP+Vka3B4FtU4hMlohIlR95gffsQPGjoXISF9C3aLFhd8hIUSdVYNPDSHEpa50dDk8SEeG2U54kE56QYtLQmmrPLfaw75tRsyZOsy5WtR6L6n7DYRGeOkzykZ0QzdBIV6atnfQZ6iL9k31p3/g77/3jVDHxMCWLZJQCyFkpFoI4SOjy+JSUlryse+og6NpWpp39lCc75vsnn1ET8d+do7/GkRBho52XVx07GvGFFxNm7yKNm+GxERo0sTXNq9Ro4uzU0KIOk2SaiGEEPVeaRJdWOwl2KRw/Bik7g1GHQ452WrC8iAo0k1Jvo7CHC1N22gZNMFOg2Zu2jbW077paSYilrVhA0ya5BuZ3rQJGjS44PsmhKgfJKkWQghRr5RNoCNC1TSKV7N9l5dDuw24SjQEN7Ww/xctDcJVhGv0dOzt5MQxHW172zi6BwwGL2FBWpo3URg9wFSzZBpgzRqYMsXX3WPDBoiNvbA7KoSoVySpFkIIUW+UTjwsTaB1wR4adCrm+J4Q1HbfV5rHA2l/6NG282DU6gkNgw6dncS3cjJoqAedVk18hJb2TfU1T6g//xyuuQa6dPEtPR4VdeF2UghRL0lSLYQQ4rw988wzfPvtt+h0Opo2bcrChQsJCwur9e2UTjx0WX1fXy6rlpwsNSdPKjQuzXM9akJCvdgdCgCOIh06j4ormkC/tiFnv9GPP4brr4eePWHdOoiIqJ2dEUJcUqT7hxBCiPM2cOBAvvrqK7788kuaN2/OG2+8cUG2U1jsxVVSfnVdxalFrff8eYFVT5chdiJjvKBS0IW4adPdceaOHlV5/32YPh369fONUEtCLYSohoxUCyGEOG+DBg3y/9ytWzfWrVt3QbYTEapGF+zxj1QDaD0aug6wU5iix1WiwetR0bmHQnycC7vNTUSo+uxKPUotWwa33ALDhsEXX4DJVKv7IoS4tEhSLYQQolZ9+umnjBs37oI8dvumelK7Ozi0G39NdbM2Hvr3NpDeyeGfvNi+6Rna4p3JkiVw222+XtSffw7BwbW2D0KIS5Mk1UIIIWpk5syZ5ObmVrr8nnvuYeTIkQC89tpraDQaJk6ceEFiiDDqGD0ImjYtm0D7RqGb1Fab9VdegbvugvHj4dNPwWispQcWQlzKJKkWQghRI8uWLTvt9StXrmTz5s0sW7YMlUp1weKIMOro1/Y8RqFP54UX4L77fL2oV6wAg+HCbEcIccmRpFoIIcR527p1K2+++SbLly8nKCgo0OGcm4UL4YEHYNo03wRF3QVK3IUQlyRJqoUQQpy3xx9/HKfTyV/+8hcAunbtymOPPRbgqGpIUeCxx+DRR+GGG3wTFLXy9SiEODvyqSGEEOK8bdiwIdAhnBtFgQcf9I1Sz5wJb74JGs0Z7yaEEBVJUi2EEOLypCi++ukXX4RZs+C110AtyzcIIc6NJNVCCCEuP4oCs2f7On3ceSe8/DJcwMmVQohLnxySCyGEuLx4vXD77b6E+t57JaEWQtQKSaqFEEJcPjweuPVW3+IuDzwAzz0nCbUQolZI+YcQQojLg9sNN98MH3zg6/Qxf74k1EKIWiNJtRBCiEufy+Vrl/fxx/DUU/Dvfwc6IiHEJUaSaiGEEJc2hwOuvRZWrfKtmDh3bqAjEkJcgiSpFkIIcemy2+Hqq2HNGli82NfpQwghLgBJqoW4CJIzzKzbl0V6oY1GEUGM7RRPh4TwQIclxKWtpAQmT4YNG+CNN3y9qIUQ4gKR7h9CXGDJGWaWbD2K2eYiIdyI2eZiydajJGeYAx2aEJcuiwUSE2HjRli6VBJqIcQFJ0m1EBfYun1ZhAfpCA/SoVap/D+v25cV6NCEuDQVFcHYsbB1K7z3HvzlL4GOSAhxGZCkWogLLL3QRqixfKVVqFFLeqEtQBEJcQkrLITRo2HnTvjwQ1/HDyGEuAgkqRbiAmsUEUSx3V3usmK7m0YRQQGKSIhLVH4+jBwJv/wCn3wC06YFOiIhxGVEkmohLrCxneIx21yYbS68iuL/eWyn+ECHJsSlIycHrrwS9u2Dzz+HSZMCHZEQ4jIjSbUQF1iHhHBmDWlBeJCODLOd8CAds4a0kO4fQtSWzEwYNgwOHoQvvoDx4wMdkRDiMiQt9YS4CDokhEsSLcSFkJ4Ow4fDiRO+XtRXXhnoiIQQlylJqoUQQtRPqam+hDo7G9avh0GDAh2REOIyJkm1EEKI+ufoUV9CXVAAX38N/foFOiIhxGVOkmohhBD1y6FDvoTaaoVNm6Bnz0BHJIQQklQLIYSoR5KTYcQIcLng22+ha9dARySEEIAk1UIIIeqQQruLA6lOCou9RISqad9UT4RR57ty3z5fQq1SwebN0LFjQGMVQoiyJKkWQghRJxTaXXz9vZNDuw24SjTogj2kdncwehBEHPjdt7CLwQDffAPt2gU6XCGEKEf6VAshhKgTDqSeSqitWlBUuKxaDu02kLZ6h6+GOjgYtmyRhFoIUSdJUi2EEKJOKCz24irRlLss/o8faX/zBAgPh61boXXrAEUnhBCnJ0m1EEKIOiEiVI0u2OP/venx77jxvTG4Y2J9CXXz5oELTgghzkCSaiGEEHVC+6Z62nR3oAtx0+LoJma8PxZHfEOc32yCJk0CHZ4QQpyWTFQUQghRJ0QYdYweBJ2Pr6btiuk4mrdA2fA14c0aBzo0IYQ4I0mqhRBC1BkRG9cT8Y9roEMHgjdsgNjYQIckhBA1Ikm1EEKIWvHSSy+xadMm1Go10dHRLFy4kPj4+Jo/wGefwbXX+hZ0Wb8eoqIuXLBCCFHLpKZaCCFErfjrX//Kl19+yapVqxg2bBivvvpqze+8YgVMm+ZbcnzjRkmohRD1jiTVQgghaoXJZPL/bLPZUKlUNbvj8uVw/fUwYAB8/bWvfZ4QQtQzUv4hhBCi1ixatIjPP/+c0NBQ3n333TPfYelS+OtfYdgw+PJLCAm54DEKIcSFIEm1EEKIGps5cya5ubmVLr/nnnsYOXIkc+bMYc6cObzxxhssX76c2bNnV/9gr78Of/87jB7tq6cODr6AkQshxIUlSbUQQogaW7ZsWY1ul5SUxKxZs6pPqpctg4cfhsRE+OQTMBprLUYhhAgEqakWQghRK44dO+b/edOmTbRs2bL6Gy9YAFddBStXSkIthLgk1OuRao/Ht5xtZmZmgCMRQohz16BBA7Taev1xDMALL7zA0aNHUalUNGrUiAULFlS6jf9ze9QoePFFyM6+2GEKIcR5qe4zW6UoihKAeGrFTz/9xA033BDoMIQQ4rxs2rSJxo0vj1UD5XNbCFHfVfeZXa+Tarvdzr59+4iNjUWj0QQ6HCGEOCeXykh1TcjnthCivrskR6qFEEIIIYSoC2SiohBCCCGEEOfp8jjfWEf8+9//ZvPmzURHR/PVV18BsHjxYj766COiTi3JO3fuXIYOHRrIMM8oIyODf/3rX+Tl5aFSqbjmmmu4+eabKSwsZM6cOaSnp9OoUSNeeuklwuv4ymjV7Ut9fF0cDgc33HADTqcTj8fDmDFjmD17NmlpacydO5fCwkI6duzIs88+i16vD3S41apuP+bNm8ePP/5IaGgoAE8//TQdOnQIcLQ14/F4uPrqq4mPj+eNN96od6/JxfLSSy+xadMm1Go10dHRLFy4kPj4+IDG9Mwzz/Dtt9+i0+lo2rQpCxcuJCwsLKAxAaxdu5ZXXnmFlJQUPv74Yzp37hywWLZu3cqTTz6J1+tl2rRpzJo1K2CxlKrq+zbQqvu+CaTqPm/rioqfnXWeIi6aH3/8Udm3b5+SmJjov+zll19W3nzzzQBGdfaysrKUffv2KYqiKMXFxcro0aOVQ4cOKc8884zyxhtvKIqiKG+88Yby7LPPBjLMGqluX+rj6+L1ehWLxaIoiqI4nU5l6tSpyu7du5XZs2crX331laIoivLwww8r77//fiDDPKPq9uP+++9X1q5dG+Dozs3SpUuVuXPnKrNmzVIURal3r8nFUlxc7P/5nXfeUR5++OEARuPz3XffKS6XS1EURXn22WfrzOfa4cOHlZSUFGXGjBnK3r17AxaH2+1WRowYoaSmpioOh0NJSkpSDh06FLB4SlX1fRto1X3fBFJ1n7d1RcXPzrpOyj8uot69e9f5kduaiIuLo2PHjgCYTCZatmxJVlYWmzZtYvLkyQBMnjyZjRs3BjDKmqluX+ojlUpFyKklnt1uN263G5VKxY4dOxgzZgwAV111FZs2bQpkmGdU3X7UV5mZmWzevJmpU6cCoChKvXtNLhaTyeT/2Waz1YnXfdCgQf4JSd26daszLVxbtWp1+j7gF8nevXtp1qwZTZo0Qa/Xk5iYWCfez3Xx+7Yuft/U5c/bip+d9YEk1XXA+++/T1JSEv/+978xm82BDuesnDhxguTkZLp27UpeXh5xcXEAxMbGkpeXF+Dozk7ZfYH6+bp4PB4mTZrEgAEDGDBgAE2aNCEsLMyfFDRo0CDgH+I1UXE/Sl+TRYsWkZSUxFNPPYXT6QxwlDXz1FNP8c9//hO12vdxW1BQUC9fk4tl0aJFDB06lC+//JK777470OGU8+mnnzJkyJBAh1GnZGVl0aBBA//v8fHx8n6ugYrfN4FU3edtoFX87KwP6k+kl6jrrruODRs2sGrVKuLi4nj66acDHVKNWa1WZs+ezQMPPFBuhAl8R7915Wi3JiruS319XTQaDatWrWLLli3s3buXI0eOBDqkc1JxPw4ePMjcuXNZt24dn376KWazmSVLlgQ6zDP69ttviYqKolOnToEOpc6YOXMmEyZMqPSv9MzWnDlz2LJlC0lJSSxfvrxOxATw2muvodFomDhx4kWJqaZxifrndN+dgVDV522g1dfPTpmoGGAxMTH+n6dNm8btt98ewGhqzuVyMXv2bJKSkhg9ejQA0dHRZGdnExcXR3Z2tn+SX11X1b7U19elVFhYGH379uXXX3+lqKgIt9uNVqslMzMz4BO/zkbpfnz33XfceuutAOj1eqZMmcLSpUsDHN2Z/fLLL3zzzTds3boVh8OBxWLhySefrNevyflatmxZjW6XlJTErFmzLsqkqTPFtHLlSjZv3syyZcsu6mBBTZ+rQIqPjy9XEpOVlXVZvZ/PVlXfN3VF2c/btm3bBjSWqj4777vvPp5//vmAxnUmMlIdYNlllujduHEjbdq0CWA0NaMoCg8++CAtW7bkL3/5i//y4cOH8/nnnwPw+eefM2LEiABFWHPV7Ut9fF3y8/MpKioCfAtsbNu2jVatWtG3b1/Wr18PwGeffcbw4cMDGeYZVbUfLVu29L8miqLUm9fk3nvvZevWrXzzzTe8+OKL9OvXjxdeeKHevSYXy7Fjx/w/b9q0qU7UDG/dupU333yT1157jaCgoECHU+d07tyZY8eOkZaWhtPpZPXq1fJ+rkZ13zeBVN3nbaBV9dlZ1xNqkMVfLqq5c+fy448/UlBQQHR0NHfddRc//vgjBw4cAKBRo0Y89thj/rrkuqp0meG2bdv6a53mzp1Lly5duOeee8jIyKBhw4a89NJLREREBDbYM6huX7766qt697ocOHCAefPm4fF4UBSFsWPHcuedd5KWlsacOXMwm8106NCB559/vk63b6tuP2666SYKCgpQFIX27duzYMEC/wSb+mDnzp0sXbrU31KvPr0mF8tdd93F0aNHUalUNGrUiAULFgR81HPUqFE4nU7/Z1nXrl157LHHAhoTwIYNG3j88cfJz88nLCyMDh068NZbbwUkli1btvDUU0/525/9/e9/D0gcZVX1fTtt2rSAxlTd900g27VW93lbl5T97KzrJKkWQgghhBDiPEn5hxBCCCGEEOdJkmohhBBCCCHOkyTVQgghhBBCnCdJqoUQQgghhDhPklQLIYQQQghxniSpFvVChw4dmDRpkv/fiRMnmD59OuBb7vXLL7/03zY5OZktW7ac9TZuvPFGfvvtt/OOtbYeRwghLqSCggL/Z+rAgQMZPHgwkyZNolevXowfP/6ixrJx40YOHz7s//0///kP27ZtO+vHOXHiBBMmTKjyukOHDnHTTTcxZswYRo4cycsvv4zX6z3nmKtzun2R74dLm6yoKOoFo9HIqlWryl324YcfApCens5XX31FUlIS4Euq9+3bF9Den0IIUddFRkb6P1cXL15McHAwt956KydOnLggq8iWriJalY0bNzJs2DBat24NwN13312r27bb7fz973/n0UcfZdCgQdhsNu666y7effddZs6cWavbutD7IuouGakW9Vb37t0BeOGFF/jpp5+YNGkSS5Ys4eWXX2bNmjVMmjSJNWvWUFJSwr///W+mTp3K5MmT2bhxI+D7kJ0zZw7jxo3jjjvuwG63V9rG1q1byy2TvHPnTm677TYAHnnkEaZMmUJiYiIvv/zyaWMEWLduHfPmzQN8q1jdddddXH311Vx99dX8/PPPAPz444/+kaPJkydjsVhq4ZkSQoiz4/F4eOihh0hMTOSWW27xfz6mpqZy6623MmXKFK6//npSUlIA3wjxTTfdRFJSEjfffDMnT54EYN68ecyfP59p06bx3HPPVXn/0iWpn332WSZNmkRqairz5s1j3bp1AOzdu5fp06czceJEpk6disVi4cSJE1x//fVcddVVXHXVVfzyyy+n3Z8vv/ySHj16MGjQIACCgoKYP38+b775JuA7qCi7eM6ECRM4ceIEAP/4xz/8n/UrVqzw36Z79+4sWrSIiRMncs0115Cbm3vGfSnr+++/59prr+Wqq65i9uzZWK1WAJ5//nnGjx9PUlISzzzzzNm/eCJgZKRa1At2u51JkyYB0LhxY1599VX/dffee2+51ZZiYmLYt28f8+fPB/Avcbpw4UKKioqYNm0aAwYMYMWKFRiNRtauXcuBAweYMmVKpe0OGDCA+fPnU1JSQnBwMGvWrPGfFp0zZw4RERF4PB5mzpzJgQMHaN++fY3258knn+Tmm2+mV69enDx5kltvvZW1a9eydOlS5s+fT8+ePbFarRgMhvN63oQQ4lwcP36cF198kSeeeIK7776b9evXM2nSJB5++GEWLFhA8+bN2bNnDwsWLODdd9/liSee8Ce4n3zyCU888QT//e9/AcjKyuLDDz9Eo9Fw8803V3n/4cOHM2zYMMaOHVsuDqfTyZw5c1i0aBFdunTBYrFgNBqJjo7m7bffxmAwcOzYMebOncvKlSur3Z/Dhw/TsWPHcpc1bdoUh8PhX6a7Ok899RQRERHY7XamTp3K6NGjiYyMpKSkhK5duzJnzhyeffZZPvroI/7xj39Uuy9l5efn89prr/H2228THBzMkiVLePvtt7nhhhvYsGED69atQ6VSnTE2UbdIUi3qharKP2rq+++/55tvvmHp0qUAOBwOMjIy2LVrFzfeeCMA7du3p127dpXuq9VqGTx4MN9++y1jxoxhy5Yt/POf/wRg7dq1fPTRR7jdbnJyckhJSalxUr1t27ZyNXcWiwWr1UqPHj14+umnSUpKYvTo0fVqGW4hxKWjcePGdOjQAYCOHTuSnp6O1Wpl9+7d5coZnE4nALt372bx4sUATJo0ieeee85/m7Fjx6LRaE57/+ocPXqU2NhYunTpAoDJZALAZrPx2GOPceDAAdRqNceOHTv/na7Ge++9x4YNGwDIyMjg+PHjREZGotPpuPLKKwHo1KkTP/zwQ40fc8+ePRw+fJjrrrsOAJfLRbdu3QgNDcVgMPDAAw9w5ZVXMmzYsFrfH3HhSFItLgsvv/wyLVu2PKf7jh8/nvfff5/w8HA6deqEyWQiLS2NpUuX8sknnxAeHs68efNwOBynfZyy13u9Xj766KNKI9GzZs1i6NChbNmyheuuu44333yTVq1anVPcQghxrvR6vf9njUaDw+FAURTCwsLOeoAjKCgI4JzvX5Vly5YRExPDqlWr8Hq9/qS7Oq1bt2bXrl3lLktLSyMiIoKwsDA0Gk25SYuln9c7d+5k27ZtrFixgqCgIG688Ub/dTqdDpVKBYBarcbj8dQ4fkVRGDhwIC+++GKl6z755BO2b9/OunXrWL58Oe+++26NH1cEltRUi3ovJCTEX4tW1e+DBg1i+fLlKIoCwP79+wHo3bs3X331FQAHDx7kjz/+qPLx+/Tpw/79+/noo4/8pR9Wq5WgoCBCQ0PJzc1l69atVd43JiaGlJQUvF6vv5a7NKb33nvP/3tycjLgq1ds164ds2bNonPnzhw9evSsnw8hhLgQTCYTjRs3Zu3atYAvMTxw4ADgqy9evXo14Ktf7tWr11ndv+LndqkWLVqQk5PD3r17Ad9ZPbfbTXFxMbGxsajValatWnXGhDYpKYmff/7Z34XDbrfzxBNPcNdddwHQqFEj/3fD77//7q+nLi4uJjw8nKCgIFJSUvj111/P+DxVty9ldevWjV9++YXjx48DUFJSwtGjR7FarRQXFzN06FAeeOCBar+XRN0kSbWo99q1a4darWbixIksW7aMvn37cvjwYf9ExX/84x+43W4mTpxIYmIi//nPfwC47rrrKCkpYdy4cbz88suV6u1KaTQahg0bxnfffec/1de+fXuuuOIKxo0bx7333kuPHj2qvO+9997LbbfdxvTp04mNjfVf/uCDD7Jv3z6SkpIYP348//d//wfAO++8w4QJE0hKSkKr1TJkyJDafKqEEOK8PPfcc3zyySf+z9PSwYKHH36YlStXkpSUxKpVq3jwwQfP6v7jx4/nrbfeYvLkyaSmpvpvr9frWbRoEU888QQTJ07klltuweFwcP311/PZZ58xceJEjhw5QnBw8GnjNhqNvPbaa7z22muMGTOGfv360aNHDyZOnAjAmDFjMJvNJCYmsnz5cpo3bw7AkCFDcLvdjBs3jhdeeIFu3bqd8Tmqbl/KioqKYuHChcydO5ekpCSuvfZajhw5gtVq5bbbbiMpKYnrr7/eP7ld1A8qpXT4TgghhBDiMrBx40YWLlzIu+++S6NGjQIdjrhESFIthBBCCCHEeZLyDyGEEEIIIc6TJNVCCCGEEEKcJ0mqhRBCCCGEOE+SVAshhBBCCHGeJKkWQgghhBDiPElSLYQQQgghxHmSpFoIIYQQQojzJEm1EEIIIYQQ50mSaiGEEEIIIc6TJNVCCCGEEEKcJ0mqhRBCCCGEOE+SVAshhBBCCHGeJKkWQgghhBDiPElSLYQQQgghxHmSpFoIIYQQQojzJEm1EEIIIYQQ50mSanHJWLlyJdddd12gwzhniYmJ7Ny5M9BhCCGE3xdffMEtt9xS7fU33ngjH3/88XlvZ+fOnQwZMuS8H0eIQJKkWgTMTz/9xPTp0+nZsyd9+vRh+vTp7N27NyCxXOwP9Hnz5rFo0aJyl61evZq+fftetBiEEJeW4cOH06VLF7p3787AgQOZN28eVqv1vB5z4sSJLF26tJYirJskoRe1RZJqERAWi4Xbb7+dGTNm8OOPP7J161buvPNO9Hp9oEMTQoh66/XXX2f37t18/vnn7N+/nyVLlgQ6JHEGbrc70CGIWiJJtQiIo0ePAjBhwgQ0Gg1Go5FBgwbRvn17AD766CPGjRtH9+7dGT9+PL///jsAS5YsYeTIkf7LN2zYUO02UlJS+Mtf/kKfPn0YM2YMa9asOadYU1JSuPHGG+nVqxeJiYls2rTJf53dbufpp5/myiuvpGfPnlx33XXY7XYAZs+ezcCBA+nZsyc33HADhw4dAmDFihV8+eWXvPXWW3Tv3p3bb78d8I0ybdu2DQCn08mTTz7JoEGDGDRoEE8++SROpxP4c1Rl6dKl9O/fn0GDBvHpp5+e074JIS5NsbGxDBo0iOTkZP9lv/76K9OnT6dXr15MnDixXLnZypUrGTFiBN27d2f48OF88cUX/svLltX98MMPjB07lp49e/LYY4+hKIr/usWLF3Pffff5fz9x4gTt2rXzJ42ffvqp/3N9xIgRfPjhh9XGv2TJEgYPHkz37t0ZM2YM27dvr3SbPXv2MHDgQDwej/+yDRs2kJSUBMDevXuZMmUKPXr0YMCAASxcuLDGz1+prKws7rrrLvr168fw4cN59913/Zd36dKFwsJC/233799P3759cblcAHzyySeMGzeO3r17c+utt5Kenu6/bbt27Xj//fcZPXo0o0ePBuCJJ55g6NCh9OjRgylTpvDTTz/5b2+327n//vvp3bs348aN43//+1+50fXq4hQXmSJEABQXFyt9+vRR/vWvfymbN29WCgsL/detWbNGGTRokLJnzx7F6/Uqx44dU06cOOG/LjMzU/F4PMrq1auVrl27KllZWYqiKMqnn36qTJ8+XVEURbFarcqQIUOUTz75RHG5XMrvv/+u9OnTRzl06FCV8ezYsUMZPHhwpcudTqcycuRI5bXXXlMcDoeybds2pVu3bkpKSoqiKIry6KOPKjNmzFAyMzMVt9ut/Pzzz4rD4VAURVE+/vhjpbi4WHE4HMoTTzyhTJw40f+4999/v/Liiy+W29aVV16p/PDDD4qiKMpLL72kTJs2TcnNzVXy8vKUa6+9Vlm0aJE/1g4dOigvvfSS4nQ6lc2bNytdunQp9xwKIS4/ZT9DMjIylAkTJiiPP/64oiiKkpmZqfTp00fZvHmz4vF4lO+//17p06ePkpeXp1itVqV79+7+z7WsrCzl4MGDiqKU/1zNy8tTunXrpqxdu1ZxOp3K22+/rXTo0EH56KOPFEVRlJdfflm59957/fGkpaUpbdu2VVwul6IoivLtt98qx48fV7xer7Jz506lS5cuyr59+xRFKf8ZnJKSogwZMkTJzMz0P87x48er3OcRI0Yo33//vf/3u+66S3njjTcURVGUa665Rvnss88URVEUi8Wi7N69u8rHqO7z3+PxKFdddZWyePFixeFwKKmpqcrw4cOVrVu3KoqiKDfeeKOyYsUK/+2ffvpp5eGHH1YURVE2bNigjBw5Ujl8+LDicrmUV199Vbn22mv9t23btq0yc+ZMpaCgQLHZbIqiKMrnn3+u5OfnKy6XS3nrrbeUAQMGKHa7XVEURXnuueeUG264QSksLPS/tqUxnylOcfHISLUICJPJxAcffIBKpeLhhx+mf//+3H777eTm5vLJJ5/w17/+lS5duqBSqWjWrBmNGjUCYNy4ccTHx6NWqxk/fjzNmjWrsg578+bNNGrUiKuvvhqtVssVV1zBmDFjWLdu3VnFuWfPHkpKSpg1axZ6vZ7+/ftz5ZVXsnr1arxeL59++ikPPvgg8fHxaDQaevTo4S9hmTp1KiaTCb1ez1133cWBAwcoLi6u0Xa//PJL7rjjDqKjo4mKiuKOO+7wjxwBaLVa7rjjDnQ6HUOHDiU4ONg/+i+EuHzdcccddO/enaFDhxIVFcXs2bMBWLVqFUOGDGHo0KGo1WoGDhxIp06d2LJlCwBqtZpDhw5ht9uJi4ujTZs2lR5769attGnThrFjx6LT6bj55puJiYmpcWzDhg2jadOmqFQq+vTpw8CBA8uNxpbSaDQ4nU5SUlJwuVw0btyYpk2bVvmYiYmJfPXVV4CvrHDr1q0kJiYCvs/J1NRU8vPzCQkJoVu3bjWOFeC3334jPz/fX5rYpEkTrrnmGv9Zz6SkJP+2FUVhzZo1/lHyDz/8kFmzZtGqVSu0Wi233347ycnJ5UarZ82aRUREBEajEYBJkyYRGRmJVqvllltuwel0+j/X165dy2233UZ4eDgNGjTgpptuqnGc4uLRBjoAcflq1aoVTz/9NOArsfjnP//JU089RUZGRrUfoJ9//jlvv/22/4OppKSEgoKCSrdLT09n79699OrVy3+Zx+Nh4sSJnDx50v+hC7B79+5qY8zOzqZBgwao1X8efzZs2JCsrCwKCgpwOBw0adKk0v08Hg+LFi1i3bp15Ofn++9fUFBAaGjo6Z4W/3YbNmxYbpvZ2dn+3yMiItBq//zzDQoKoqSk5IyPK4S4tL366qsMGDCAH3/8kXvvvZeCggLCwsI4efIk69at49tvv/Xf1u1207dvX4KDg1m0aBFLly7lwQcfpEePHtx///20atWq3GOXfh6WUqlUJCQk1Di2LVu28Oqrr3Ls2DG8Xi92u522bdtWul2zZs144IEHWLx4MYcPH2bQoEHMmzeP+Pj4SrdNSkpi+vTpLFiwgA0bNnDFFVf4B2GefPJJXn75ZcaNG0fjxo258847ufLKK2scb3p6OtnZ2ZW+R0p/Hz16NI8//jjZ2dkcO3YMtVrtv+7kyZM89dRTPPPMM/77KopCVlaWP76Kz91bb73FJ598QnZ2NiqVCovF4v9+y87OLnf7sq/DmeIUF48k1aJOaNWqFVOmTGHFihUkJCSQmppa6Tbp6ek89NBDLFu2jO7du6PRaJg0aVKVj5eQkEDv3r15++23q7z+dIl0WXFxcWRmZuL1ev2JcUZGBs2bNycyMhKDwUBaWpq/FrzUl19+yaZNm3j77bdp3LgxxcXF9O7d219/qFKpzrjdkydP+keLMjIyiIuLq1HMQgjRp08fpkyZwjPPPMN///tfEhISmDRpEk888USVtx88eDCDBw/Gbrfz0ksv8fDDD/PBBx+Uu01sbCyZmZn+3xVFISMjw/97UFCQf04JQG5urv9np9PJ7NmzeeaZZxgxYgQ6nY5//OMf5Wqyy0pKSiIpKQmLxcL8+fN5/vnnee655yrdrnXr1jRs2JCtW7fy1VdfMWHCBP91zZs358UXX8Tr9fL1118ze/Zsdu7cSXBw8BmePZ+EhAQaN27M119/XeX14eHhDBw4kDVr1nDkyBHGjx/v/2xPSEjg9ttvZ+LEidU+ftnvgZ9++ok333yTZcuW0aZNG9RqdbnvjNLnvnXr1gDlXoczxSkuHin/EAGRkpLC0qVL/R8MGRkZfPXVV3Tt2pWpU6eydOlS9u3bh6IoHD9+nPT0dGw2GyqViqioKMA36aV08l9Fw4YN49ixY3z++ee4XC5cLhd79+4lJSXltHE5HI5y/7p06YLRaOTNN9/E5XKxc+dOvvnmG8aPH49arebqq69m4cKFZGVl4fF42L17N06nE6vVil6vJzIyEpvNxosvvlhuO9HR0Zw4caLaOBITE3nttdfIz88nPz+fV1991X9aUQghauLmm29m27ZtHDhwgIkTJ/Ltt9/y3Xff4fF4cDgc7Ny5k8zMTHJzc9m4cSMlJSXo9XqCg4PLnZ0rNXToUA4dOsTXX3+N2+3m3XffLZc4d+jQgV27dnHy5EmKi4t54403/Nc5nU6cTidRUVFotVq2bNnCDz/8UGXcR44cYfv27TidTvR6PQaDocp4Sk2YMIF33nmHXbt2MXbsWP/lq1at8p8pDAsLAzjt41T1+R8SEsKSJUuw2+14PB4OHjxYruQwKSmJVatWsX79+nKf0dOnT2fJkiX+76ji4mLWrl1b7batVisajYaoqCjcbjevvPIKFovFf/24ceN44403MJvNZGVlsXz5cv91NYlTXBySVIuAMJlM7Nmzh2nTptGtWzeuueYa2rZty7x58xg3bhy333479957Lz169OCOO+7AbDbTunVrbrnlFqZPn86AAQM4ePAgPXr0qPbx33rrLdasWcPgwYMZNGgQzz//vL+DRlVKZ3OX/ZeRkcHrr7/O1q1b6devHwsWLODZZ5/1nxa9//77adu2LVOnTqVPnz48//zzeL1eJk+eTMOGDRk8eDCJiYmVavmmTp3K4cOH6dWrF//4xz8qxfKPf/yDTp06MXHiRCZOnEjHjh2rvJ0QQlQnKiqKSZMm8eqrr5KQkMB///tf3njjDfr378/QoUN566238Hq9eL1eli1bxuDBg+nTpw+7du3i0UcfrfLx/vOf//DCCy/Qt29fjh8/Xu4zeODAgYwfP56JEycyZcqUcqUWJpOJhx56iHvuuYfevXvz1VdfMXz48Crjdjqd/m0MGjSI/Px85s6dW+1+TpgwgV27dtGvXz//oAvAd999R2JiIt27d+fJJ59k0aJF/vrliqr6/D9x4gSvv/46Bw4cYMSIEfTr14+HHnqoXLI7fPhwjh07RkxMTLkzlqNGjeKvf/0rc+fOpUePHkyYMIGtW7dWuw+DBg1i8ODBjBkzhuHDh2MwGMqVe9xxxx00aNCAESNGMHPmTMaMGeOfv6PRaM4Yp7g4VEp1516EEEIIIUSd88EHH7BmzZpyI9Yi8GSkWgghhBCiDsvOzubnn3/G6/Vy5MgR3n77bUaOHBnosEQFMlFRCCGEEKIOc7lcPPLII5w4cYLQ0FASExO5/vrrAx2WqEDKP4QQQgghhDhPUv4hhBBCCCHEearXSbXb7ebEiRO43e5AhyKEEKIG5HNbCHGpqtdJdWZmJiNGjCjXBF0IIUTdVd8/t5ctW8ayZcsCHYYQog6SiYpCCCFEDZUuIiKEEBVJUi2EEELU0JQpUwIdghCijqrX5R9CCCGEEELUBZJUCyGEEDW0bt061q1bF+gwhBB1kJR/CAE4HA5uuOEGnE4nHo+HMWPGMHv2bK6//nqsVisAeXl5dOnShf/+97988cUX/O9//wMgJCSERx99lPbt2wdyF4QQF0F9nWAphLjwJKkWAtDr9bzzzjuEhITgcrm4/vrrGTJkCB988IH/NnfddRcjRowAoHHjxixfvpzw8HC2bNnCww8/zMcffxyo8IUQQggRYFL+IQSgUqkICQkBfH103W43KpXKf73FYmHHjh2MHDkSgB49ehAeHg5At27dZPRKCCGEuMxJUi3EKR6Ph0mTJjFgwAAGDBhA165d/ddt3LiR/v37YzKZKt3vk08+YciQIRczVCGEEELUMZJUC3GKRqNh1apVbNmyhb1793Lw4EH/dV999RWJiYmV7rNjxw4++eQT7rvvvosZqhAiQKKjo4mOjg50GJek7t27BzqE87Zy5UqysrL8vw8fPpz8/Pxa3cbOnTu57bbbzuo+N954I7/99luly1euXMljjz1W5X02btzIK6+8AoDT6eSee+5h1KhRTJs2jRMnTlR5n61btzJmzBhGjRrFkiVL/JcvX76cUaNG0a5du0rPx86dO5k0aRKJiYnMmDHDv70bbrih3q28KjXV4rKVnGFm3b4s0gttNIoIYmyneDokhBMWFkbfvn357rvvaNu2Lfn5+fz222+8+uqr5e5/4MABHnroIf73v/8RGRkZoL0Q4tJX3d9qICQlJQVku6L2uN1utNoLk/589tlntGnThvj4+DoRz/l48803+e9//wvAxx9/TFhYGBs2bGD16tU8//zzvPTSS+Vu7/F4eOyxx3j77beJj49n6tSpDB8+nNatW9OjRw+GDRvGTTfdVO4+RUVFLFiwgDfffJOGDRuSl5cH+OY59e/fnzVr1jBx4sSLsr+1oe69ikJcBMkZZpZsPUp4kI6EcCNZObm8uj6HO8Z0okWkgW3btvG3v/0NgPXr1zNs2DAMBoO/S4jVaiUtLY2kpCRatGhRbZeQjRs38p///Ae1Wo1Go+GBBx6gV69egdx1IeqVin+rZpuLJVuPMmtIi4Al1uLiSU1NZcGCBRQUFGA0Gnn88ceJi4tj4sSJbNq0CbVaTUlJCePGjWPjxo1kZGRUun2rVq2YN28eer2e5ORkevToQWJiIk8++SQOhwOj0chTTz1Fy5YtsdlszJs3j0OHDtGiRQuys7OZP38+nTt35vvvv2fx4sU4nU6aNGnCwoUL/XNxwNducd++fdx3330YjUZWrFgB+EZpv/32W9xuNy+99BKtWrVi8eLFpKamkpaWRsOGDXnooYd45JFHOHnyJAAPPPAAPXv25Mcff+TJJ58EfHN/li9fDkBJSQmzZ8/m4MGDdOzYkeeffx6VSsX27dt55pln8Hg8dOrUiQULFqDX68s9p59++ilLliwhNDSU9u3bV7oe4OjRo+h0OqKiogD45ptvuPPOOwEYM2YMjz32GIqilJt7tHfvXpo1a0aTJk0ASExMZNOmTbRu3Zorrriiytf3yy+/ZNSoUTRs2BCg3FmgkSNH8sILL0hSLURdt25fFuFBOsKDdABoncXsemcRt7yjEB2iY+zYsVx55ZUArFmzxp9gl3YJeeqpp8jJyWHNmjX8/PPPmEwmVq1aBZTvEtK/f39GjBiBSqXiwIED3HPPPdLjVoizUPFvtfT/dfuyApJUf/nll8ClP2K9bNmySpd17NiR3r1743K5eP/99ytd361bN7p160ZJSQkfffRRuetmzpx5TnE8/PDDLFiwgObNm7Nnzx4WLFjAu+++S/v27fnxxx/p168fmzdvZtCgQeh0umpvD5CVlcWHH36IRqPBYrHw/vvvo9Vq2bZtG4sWLWLx4sV88MEHhIeHs2bNGg4ePMjkyZMByM/P57XXXuPtt98mODiYJUuW8Pbbb/sTTYCxY8fy/vvv869//YvOnTv7L4+MjOSzzz7j/fffZ+nSpf4kOSUlhQ8++ACj0ci9997LzTffTK9evTh58iS33nora9euZenSpcyfP5+ePXtitVoxGAwA7N+/n9WrVxMXF8d1113Hzz//TOfOnZk3bx7Lli2jRYsW/Otf/+KDDz4o99xnZ2ezePFiVq5ciclk4qabbqoy4f3ll1/o2LGj//esrCwSEhIA0Gq1hIaGUlBQ4E+6S2/ToEED/+/x8fHs3bv3tK/vsWPHcLvd3HjjjVitVm666Sb/c96mTZsqS1bqMkmqxWUpvdBGQrjR/3t0oxZc8+//kGG28/y0ruVu+9577/l/Lu0S8uSTT/LQQw9x/fXX8+ijj/onNZZ2CVm4cCFAuVEMm81W7qheCHFmFf9WAUKNWtILbQGJp/T0tLjwrFYru3fv5u677/Zf5nQ6ARg/fjxr1qyhX79+rF692n+2sLrbgy/p1Wg0ABQXF3P//fdz/PhxVCoVLpcLgJ9//tlfotC2bVvatWsHwJ49ezh8+DDXXXcdAC6Xi27dutVoP0aPHg1Ap06d2LBhg//y4cOHYzT63tvbtm3j8OHD/ussFgtWq5UePXrw9NNPk5SUxOjRo/3fKV26dPEnsO3btyc9PR2TyUTjxo1p0aIFAFdddRXvv/9+uaR679699OnTx58Mjx8/nmPHjlWKOScnp1zCfKF4PB5+//13li1bht1uZ/r06XTt2pUWLVqg0WjQ6XRYLJYqmwTURZJUi8tSo4ggzDaXf9QLoNjuplFE0Bnv6/F4mDJlCqmpqVx//fVn7BKyYcMGXnjhBfLz83njjTdqd0eEuMSdz9+qOHenG1nW6XSnvT44OPicR6bLUhSFsLAw/1nAsoYPH86iRYsoLCzk999/p1+/fthstmpvDxAU9Od75j//+Q99+/bl1Vdf5cSJE5VqfauKZeDAgbz44otnvR86ne+9q1ar8Xg8Vcbj9Xr56KOP/CPRpWbNmsXQoUPZsmUL1113HW+++SZAuZINjUZT7nFrg9FopLi42P97fHw8GRkZNGjQALfbTXFxcaW5RPHx8eXay2ZlZZ2xtrxBgwZEREQQHBxMcHAwvXr14sCBA/4DA6fTWek5qcuk+4e4LI3tFI/Z5sJsc+FVFP/PYzudeXLJ2XYJGTVqFOvWrePVV1/lP//5T63vixCXsvP5WxX1W+nI69q1awFfYnvgwAHAdxawU6dOPPnkkwwbNgyNRnPa21dUXFzsT/g+++wz/+U9evTw3//w4cP+z/du3brxyy+/cPz4ccBX03z06NFKjxsSEuKfX3M2Bg0aVO6saHJyMuCrKW/Xrh2zZs2ic+fOVW6zVIsWLUhPT/fHuGrVKnr37l3uNl26dGHXrl0UFBTgcrmqLUds2bKl/3HAdxBT+jytX7+efv36VTrz2rlzZ44dO0ZaWhpOp5PVq1czfPjw0+73iBEj+Pnnn3G73dhsNvbu3UurVq0AKCgoIDIy0n9QUh9IUi0uSx0Swpk1pAXhQToyzHbCg3TVTnxKzjCzaMNB7vt4D4s2HCQ5wwxQrksI4O8SMmzYsCq32bt3b9LS0mq9vZIQl7Kz+VsV9ZvNZmPIkCH+f2+//TbPPfccn3zyCRMnTiQxMZGNGzf6bz9+/Hi++OILxo8f77/sdLcv669//SsvvvgikydPLte27frrr6egoIDx48fz0ksv0bp1a0JDQ4mKimLhwoXMnTuXpKQkrr32Wo4cOVLpca+66ioeeeQRJk2ahN1ur/G+P/jgg+zbt4+kpCTGjx/P//3f/wHwzjvvMGHCBJKSktBqtaddE8FgMLBw4ULuvvtukpKSUKlU/nKVUnFxcdx5551Mnz6d6667zp/AVtS7d2+Sk5NRFAWAqVOnUlhYyKhRo3j77bf9bWSzsrL8c460Wi3z58/nr3/9K+PHj2fcuHG0adMGgHfffZchQ4aQmZnJxIkTefDBBwFo1aoVgwcPZuLEiUybNo2pU6fStm1bwNdqr7rv07pKpZQ+Y/XQiRMnGDFiBJs2baJx48aBDkdcgsp2Hgg1asnJzcPiVPxdQm655Rb+9re/ceWVV/J///d//PrrrzzzzDP++x8/fpymTZuiUqn4/fffuf3229m6davUVovL1rl8btellnqlI3tjx44NyPbFheXxeHC73RgMBlJTU5k5cybr1q2rskPGpe6JJ55g+PDhDBgwICDbv/POO7n33nv9pSD1gdRUC3Ea59olpNT69etZtWoVWq0Wo9HIokWLJKEW4izUtZZ6kkxf2mw2GzfddBNutxtFUXjkkUcuy4Qa4Pbbb2fPnj0B2bbT6WTkyJH1KqEGGakW4rTu+3gPCeFG1GUSYa+iVNklRAhxZmf7ub1ow8FKExVLf58zqu2FDFUIIc6K1FQLcRqNIoIotpdfJlU6Dwhx8aQX2gg1lj+pGsiWeitXrmTlypUB2bYQom6TpFqI05DOA0IEVl07sC0qKqKoqCgg2xZC1G2SVAtxGtJ5QIjAkgNbIUR9IRMVhTiDDgnhkkQLESClB7Zlu39c27ux/E0KIeocSaqFqEMyMjL417/+RV5eHiqVimuuuYabb74Z8C2X/v7776PRaBg6dCj/+te/cLlcPPTQQ+zfvx+3283kyZO57bbbArwXQtQuObAVQtQHUv4hRB2i0WiYN28ea9asYcWKFXzwwQccPnyYHTt2sGnTJr744gtWr17NrbfeCvh65jqdTr788ktWrlzJihUrOHHiRID3QohLV+PGjaXb1AWSk5PDnDlzGDlyJFOmTOFvf/vbaVcQrM7OnTurHFxYuXIlixcvPqfY5s2b5+9R/uCDD3L48OFqb7ty5UqysrLOaTvna+PGjeViu/HGG/ntt99qdRsnTpxgwoQJZ3Wfss9fWdW9VgD79+/ngQceAHyrYz7xxBOMGjWKpKQkfv/99yrvU7qAzqhRo3jiiSf8i9esXbuWxMRE2rdvX+75+OOPP5g3b95Z7cvpSFItRB0SFxdHx44dAd8SvS1btiQrK4v/+7//Y9asWf5+qdHR0QCoVCpsNhtutxu73Y5Op8NkMgUsfiEudSNHjmTkyJGBDuOSoygKd955J3369GHjxo2sXLmSe++9l7y8vECHVsmTTz5J69atq73+s88+Izs7+yJG9KeKSXVNlF1Rsi55/fXXuemmmwDYunUrx44d4+uvv+bxxx/n0UcfrfI+jz76KI8//jhff/01x44dY+vWrQC0bduWxYsXV1q2vV27dmRmZnLy5MlaiVmSaiHqqBMnTpCcnEzXrl05duwYP/30E9OmTWPGjBns3bsXgDFjxhAUFMSgQYO48sorueWWW4iIiAhs4EIIcZZ27NiBVqstt6x2+/bt6dWrF4qi8Mwzz/iX616zZg1AtZeXtXfvXiZPnkxqaipGo5Hg4GDAN3I5YcIEJk6cyA033FDpfoqi8NhjjzFmzBhmzpxZLrkvHf31eDzMmzfPv/1ly5axbt069u3bx3333edfqvyVV17h6quvZsKECTz88MP+0dMbb7yR5557jqlTpzJmzBh++uknwLeqY9n9eu+99wDfKOyMGTOYMmUKt956a6XE/ZdffuGbb77h2WefZdKkSaSmpgK+M5oVt7Fy5Upuv/12brrpJmbOnElJSQn//ve/mTp1KpMnT/Yv737o0CGmTp3KpEmTSEpK4tixY/4YH3roIRITE7nlllv8S7InJydzzTXXkJSUxB133IHZbK703G7dupWxY8dy1VVXsWHDhirfDxaLhT/++IP27dsDsGnTJiZPnoxKpaJbt24UFRVV2v/s7GwsFgvdunVDpVIxefJkNm3aBPiWQ2/ZsmWV27ryyitZvXp1ldedNSVATp48qcyYMUMZN26cMn78eGXZsmWVbuP1epXHH39cGTlypDJhwgRl37595a5PS0tT2rZtq6SlpV2ssIW4KCwWi3LVVVcp69evVxRFURITE5XHHntM8Xq9yp49e5Qrr7xS8Xq9yk8//aTMnTtXcTqdSm5urjJ69GglNTU1wNELUb36/rm9YsUKZcWKFYEO48J75BFFgT///fST71/Zyx55xHfbhIQ/L+vRw3fZ3/5W/rbp6afd3DvvvKM8+eSTVV63bt06ZebMmYrb7VZycnKUoUOHKllZWdVevmPHDmXWrFnKzz//rFx11VVKehXbnjBhgpKZmakoiqKYzeZK169fv97/2JmZmUrPnj2VtWvXKoqiKDNmzFD27t2r/Pbbb8rMmTP99yl9nNLrSxUUFPh/vu+++5RNmzb5b7dw4UJFURRl8+bNys0336woiqK8//77yl133aW4XC7//Z1Op3LttdcqeXl5iqIoyurVq5V58+ZVivv+++/3x3m6bXz66afK4MGD/bG98MILyueff+7fj9GjRytWq1V57LHHlFWrVimKoigOh0Ox2WxKWlqa0qFDB2X//v2KoijK7Nmz/fedMGGCsnPnTkVRFOWll15SnnjiiXJx2e12ZciQIcrRo0cVr9erzJ49W5k1a1al/di+fbty5513+n+fNWuWsmvXLv/vN910U7nnWFEUZe/evf79UxRF2bVrV6XHrvjaKIqi/PTTT8ptt91WKYZzEbCJiqW1ox07dsRisXD11VczcODAcqdUyg7379mzh0cffZSPP/44UCELcUEkZ5jLdTYY2T6alx79F0lJz41vqAAA57BJREFUSYwePRqA+Ph4Ro0ahUqlokuXLqjVagoKCvjqq68YPHgwOp2O6OhoevTowW+//UaTJk0CvFdCXJpKSkoCHcLF8eijvn8VVbUIc1Wnzpcs8f2rBT///DOJiYloNBpiYmLo3bs3v/32W7WXm0wmUlJSmD9/Pm+99Rbx8ZXbL3bv3p158+Yxbtw4Ro0aVen6Xbt2+R87Pj6efv36VbpNkyZNSEtL4/HHH2fo0KEMGjSoyvh37tzJm2++id1up7CwkDZt2jB8+HAA/7Y7duxIeno6ANu3b2f69Olotb4ULSIigoMHD3Lw4EH+8pe/AOD1eomNja3R81fVNgAGDhzoP7P5/fff880337B06VIAHA4HGRkZdOvWjddff53MzExGjx5N8+bNAd/cgg4dOpR73OLiYoqLi+nTpw8AV111FXfffXe5WI4cOULjxo39jzNx4kQ++uijSjHn5OQQGRlZo/07X9HR0bVWrhOwpDouLo64uDigfO1o2aS6uuH+0vsJUd8lZ5hZsvUo4UE6EsKNFJY4ufve++neurH/wxN8dZw7d+6kX79+HD16FJfLRWRkJAkJCezcuZPJkydTUlLCnj17/N1ChBCivmjTpg3r16+vtceLjY3F4XCQnJxcZVL92GOPsWfPHjZv3szVV1/Np59+etZJXHh4OKtWreL777/nww8/ZO3atSxcuLDcbRwOBwsWLODTTz8lISGBxYsX43A4/NeXzpNRq9V4PJ5qt6UoCm3atGHFihVnFePpthEUVH4BpZdffrlSiUSrVq3o2rUrmzdvZtasWSxYsIAmTZr4HxN8g6Rl96k2GI1GnE6n//f4+HgyMzP9v2dmZlZ6XWtym6o4HA4MBkMtRF1HaqrL1o6WlZWVRYMGDfy/N2jQIGAzaoW4ENbtyyI8SEd4kA61SoUt4xDpe75j2/YdTJo0iUmTJrFlyxauvvpq0tLSmDBhAnPnzuXpp59GpVJxww03YLVaSUxMZOrUqUyZMsVfgyaEEPVFv379cDqd5ZLGAwcO8NNPP9GrVy/Wrl2Lx+MhPz+fn376iS5dulR7OUBYWBhLlizhhRdeYOfOnZW2l5qaSteuXbn77ruJjIwsl4wB9O7d2//Y2dnZVT5Gfn4+iqIwZswY7rnnHvbv3w9ASEgIVqsVwJ9sRkZGYrVaa3TgMGDAAFasWOGfQFhYWEiLFi3Iz89n9+7dALhcLg4dOlTpvmW3fTYGDRrE8uXL/fXepfuSlpZGkyZNuOmmmxgxYgR//PFHtY8RGhpKWFiYv2571apVlSYGtmzZkvT0dH+9d3W1zC1btuT48eP+34cPH87nn3+Ooij8+uuvhIaGVhpgjYuLw2Qy8euvv6IoCp9//jkjRow4474fO3aMNm3anPF2NRHwPtVWq5XZs2fzwAMPSNcCcdlJL7SREG70/57QqiOzFn9BhtnO89PKH2Q+//zzle4fEhLCyy+/fMHjFOJseDwerr76auLj43njjTdq5TErlkmN7RQvvasvISqVildeeYWnnnqK//3vfxgMBho1asQDDzxAz5492b17N5MmTUKlUvHPf/6T2NhYRo0aVeXlR44cASAmJoY33niDv/3tbzz11FPlBu6effZZjh8/jqIo9OvXr9JgxKhRo9ixYwfjx4+nYcOGdOvWrVLM2dnZ/Pvf/8br9QIwd+5cwFf28Mgjj2A0GlmxYgXTpk1jwoQJxMTE0Llz5zM+F9OmTePYsWNMnDgRrVbLNddcw4wZM3j55Zd54oknKC4uxuPxcPPNN1dKBsePH8/DDz/Me++9d1bfDf/4xz946qmnmDhxIl6vl8aNG/PGG2+wdu1aVq1ahVarJSYmhttuuw2LxVLt4zzzzDM88sgj2Gw2mjRpUmnk3mAw8NhjjzFr1iyCgoLo2bNnlQcBrVq1wmKxYLFYMJlMDB06lC1btjBq1CiCgoJ46qmn/LedNGkSq1atAuCRRx7h3//+N3a7nSFDhjBkyBAANmzYwOOPP05+fj633XYbHTp04K233gJ85TnDhg2r8XN1OipFqapA6uJwuVzcfvvtDBo0qNyp7lLz58+nT58+/n6IY8aM4b333vMfnZw4cYIRI0awadMm6Rsq6qVFGw5itrkID9L5Lyv9fc6otgGMTIhz9/bbb7Nv3z4sFkulpPpcPrfLlkmFGrUU292YbS5mDWlx0RPrLVu2ADB06NCLul0hLjfLli0jJCSEadOmXbBtOJ1OZsyYwQcffOCvYT8fASv/UBSFBx98kJYtW1aZUEPNhvuFqM/GdorHbHNhtrnwKor/57GdzlwHJkRdlJmZyebNm5k6dWqtPWbFMqnSn9ftu/jlgEOHDpWEWoiL4LrrrkOn0535hufh5MmT3HvvvbWSUEMAyz9+/vlnVq1aRdu2bZk0aRLgO3VS2oD7uuuuO+1wvxCXgg4J4cwa0qLcae1rezeW09qi3nrqqaf45z//eU51ndWpWCYFEGrUkl5oq7VtCCHqFoPBwOTJky/oNpo3b+7vRFIbApZU9+rV67QF7+CrsXrkkUcuUkRCBEaHhHBJosUl4dtvvyUqKopOnTpVObHrXDWKCKpUJlVsd9MoIug097ow3n//fYAqFwwRQlze6kT3DyGEEPVf6Ypuw4cPZ+7cuezYsYP/Z+/M46Oo7///nL032WRzhxAgJEC44oGKiAdYRUGoF171+nrWo4W2Wjxr1R4e7VflZ/HbWltqvarWqqhVoaAFPChaQTASCOEKhJCT7JW9d35/THazSTbJ7mY32cDn+XjMA3ayM/uZmc/MvD7vz/tYsmTJgPebSm5SXq8Xr9c76L8rEAhSHyGqBQKBQJAQfvrTn7J+/Xo+/vhjnnrqKU455ZSIWWtiJegmZTZqqbe4MBu1QxKkKBAIBH0x5Cn1BAKBQCDoD+EmJRAIUh0hqgUCgUCQcGbMmMGMGTOGuhkCgUAwaAhRLRAIBAJBlJSXi/zxAoEgMkJUCwQCgUAQJaeeeupQN0EgEKQoIlBRIBAIBAKBQCAYIEJUCwQCgUAQJX/961/561//OtTNEAgEKYgQ1QKBQCAQCAQCwQARologEAgEAoFAIBggQlQLBAKBQCAQCAQDRIhqgUAgEAgEAoFggIiUegKBQCAQRMnUqVOHugkCgSBFEaJaIBAIBIIomT59+lA3QSAQpCjC/UMgEAgEgijxer14vd6hboZAIEhBhKVaIDiKqKq3sLKygbo2J8VZRuZVFDK5yDzUzRIIhg2vvPIKANdff/3QNkQgEKQcwlItEBwlVNVbeG79HixOL0VmAxanl+fW76Gq3jLUTRMIBAKBYNgjLNUCwVHCysoGzEYtZqMWIPTvysqGqKzVwsotEAgEAkHvCEu1QHCUUNfmJMPQdRydYdBQ1+bsd1th5RYIBAKBoG+EqBYIjhKKs4zYXL4u62wuH8VZxn63DbdyqyQp9P+VlQ3Jaq5AIBAIBMMKIaoFgqOEeRWFWJxeLE4vAVkO/X9eRWG/2w7Eyi0QHEkcf/zxHH/88UPdDIFAkIIIn2qB4ChhcpGZW2aVdvGLvmL6qKj8oouzjFic3pAfNkRv5RYIksFQ+fgLQS0QCHpDiGqB4ChicpE5LuExr6KQ59bvARQLtc3lw+L0csX0UYluokDQL0Eff7NR28XH/5ZZpUkX1u3t7QCkpaUl9XcEAsHwQ4hqgUDQL7FYuUWWEEGy6Z7Jxuv3s7vJzp1/38K5U0Yktc/9/e9/B0SeaoFA0BMhqgUCQVREY+UeSgui4Oihrs1JkdkAQLPdxVf72tCpJZARfU4gEAwZIlBRIBAkjO5ZQsItiEtXV4sUfIKEEJ7JpqbRgV6jQpIkMjr6nshMIxAIhgIhqgUCQcIIzxIStCDKstzFgiiEtWCghGeysTg9IMu4fQHG56cDIjONQCAYGoSoFggECUNYEAWDQdDHX5kRUYEkccKYLPIzFJcQkZlGIBAMBcKnWiAQJIzwLCEWpwe9WoXbLzN1ZCYgLIiCxBH08Q/2OZ1GTUCWk56Z5qSTTkrKfgUCwfBHWKoFAkHCEBZEwWAT3ue2H7Kyrd6KzeVlZWVDUlyNKioqqKioSPh+BQLB8EdYqgUCQUIZKgui4OglmOWjtrWd4qw0MgyapGUBsVgUoW42i8wiAoGgK8JSLRAIkkK4BbHe4sJs1Io0Z0cBbrebSy+9lAsuuIAFCxbwu9/9blB+N5h5xuv388WeVjbuaWF3k52XN+xL6O+8/fbbvP322wndp0AgODIQlmqBQJA04q3gKBi+6HQ6XnjhBdLT0/F6vVx11VXMmjUr6eW969qcaNWwudaCXqMiQ6/B5fXzSU0LVfUW0Q8FAkHSEZZqgUAgECQMSZJIT1dS2/l8Pnw+H5IkJf13i7OMbDtoQ69RYdCqkSQJSZLIThMZZwQCweAgRLVAIBAIEorf7+fCCy/k1FNP5dRTT+W4445L+m/OqyjkcLsXZBlZlnF5/bh9ASYXZYiMMwKBYFAQ7h8CwSBQVW9hZWUDdW1OirOMzKsoFNPRfVBVb+HlDfvYvN+CjMy00VlcO7NEnLNhglqt5p133sFqtfLDH/6Q6upqysvLk/qbk4vMnD4+l28PWrG7/ZgMGqaOzESnUWM2apP62wKBQADCUi0QJJ2qegvPrd+DxemlyGwQlQX7oarewhOrqtmwuxWNCnQqiY27W/ntyh3inA0zMjMzmTFjBp988smg/N61M0soyzdxcmkOM0pz0GnUWJxe5lUUJuw3Zs6cycyZMxO2P4FAcOQgRLVAkGSCWQmU3M2SqCzYDysrG2i2u8kwaDDqNBh0GkwGDa0Ojzhnw4DW1lasVisALpeLzz//nLKyskH57cHIODNx4kQmTpyYsP0JBIIjB+H+IRAkmbo2J0VmQ5d1vVUWFG4iyvly+/xkGjqn7PUaFTaXT/jGDgMaGxu599578fv9yLLMvHnz+M53vjNov5/sjDPNzc0A5OXlJe03BALB8ESIaoEgyRRnGbE4vV38OiNVFgy6iZiN2i5uIkdbbufiLCM7G2y4fQEMWjUAbl8AnUYlqjEOAyZNmsSKFSuGuhlJ45///CcA119//dA2RCAQpBzC/UMgSDLzKgqxOL1YnF4Cshz6f3c/T+EmojCvopA8kx6by4fT48Pl8WF3+chJ1yXUN1ZwdFBVb2Hp6mqWvLGFpaurhV++QCBIGsJSLRAkmaCfZ7hbxxXTR/WwPsfiJnIkM7nIzJK55V2yf8woy+mR/UO4ygj6Ixj02mx34/b52dlgo7LOwpK55aKvCASChCNEtUAwCETj5xmtm8jRwOQiM48sPLbXvwddZfz+AIesLr6ubWNV5SEWnz2OBccWD2JLBanMyxv2safZQYZBQ6ZBi9sXYE+zg5c37OuzfwkEAkE8CFEtEKQI8yoKeW79HkCxUNtcPixOL1dMHzXELUs9VlY24PcHqG60o9eo0GskGqxu7n/7Wz6raRE5rY9QYp2d2LzfgkmvDvnmG7RqZFlm837hAiIQCBKP8KkWCFKEwUgHlqrE6vda1+bkkNWFXqPCH5A5ZHWjVoGEzLcHrSIP+BFIPPneZWS6F0iXOtbHy6xZs5g1a1bc2wsEgiOXfi3VkydPpqqqajDaIhAc9SQ7HVgq0j3ryd5mO3e8fohR2UamjjRHtEYWZxn5uraNnHQtB9qcaFSKdErTqfH65VCA59F2Lo9kwgN5gdC/fV3naaOz2Li7FSQJvUaF2xfA7vYzoywn7nYMVs5tgUAw/OjXUi3L8Y/ojyZEhLlAEB/hYqnV4WZHgx0Aa0eWlEjWyHkVhWhUElaXD483gIyMLyCTYdBiMmg4ZGnnlY37mP2//+byP27g/a11Q3FoggRS1+Ykw9DVDtRfIO+1M0sYk5sGKPEJLq8ffyBAo80d93P60KFDHDp0KObtBALBkU+/olqSuk+eCbojylALBPETLpZqGh3oNSoyDRrsbn+vaQUnF5lZfPY4APyyDDLkmXRIkoROBZ/WtIAM6ToVuxvt3PWPb/jBS/8V9+QwpjjLiM3l67Kuv0DeyUVm7p43kTMnFjAqx4iEREluGlanl/e31nPHa1t4f2sd9fX1XHvttcyfP58FCxbwwgsvANDW1sYNN9zAueeeyw033IDFYmHlypWsXLkSgK1btzJlypTQZ4FAcHQjfKoTgMgvLBDET7hYsrq8oWl6U4fQ7s0aueDYYpZecRzzK0Zg0GkwaNUcP9rMzkYHKiSy0rQ0WD2oVRJGrYqvatvEYHe44vNx2d7/RJXvvTuTi8zccU45U4rMlBea2NfqZG+Lg8Ptbprtbv53VTW7W9q59957+eCDD3j99df529/+Rk1NDc899xwzZ87kX//6FzNnzuS5554L7dfv9/PEE09w2mmnJfvoBQLBMCGm7B8HDx6M6nuZmZmYTKa4GjQcEfmFBYL46ZL1RK/B2iGwp47MBPq2RgZT74VnhXD5/IzKMdDm9KFRSWjUEipJRbvXL3ythysqFaN+fBu3bt3Jh3scfeZ7D6eq3hLKd17X1o4E+AMyaTpNR5BrgGabmw+qHaEUeyaTibKyMhoaGvjoo4946aWXALjooou49tprufLKKwF46aWXmDt3Lt98803SD18gEAwPYhLV99xzD5Ik9elnLUkSCxcu5KKLLhpo24YNIr+wQBA/4cVxzGlarE4f5YUmck36kDWyv7SC4QGel/+xHavTi8cXQKdWJuO8fhmTXiMGu8MVlQrKypjU3sKkczrzSwdjWSKl2AsWftnT7MCkV6PXqGi2e1CjpNbTSBIgkaZTd0mxd+DAAaqqqjjuuONoaWmhoKAAgPz8fFpaWgCw2Wxs3LiRF198UYhqgUAQIiZRHRyxC7oi8gsLBAMjXBR3z0XcnzWyO9fNHMPjH+4AGXx+PwFZwuMPcHJpthjsDmfGjYOaGjhWEdXds8YEY1mCaShXVjbQbHeTYVBcgwozDTTbPfhlcHr9uL1+2r1+QMLm9vH+1jrOHJfFj370I+6///4es62SJIVijNasWcMvfvELVCrhQSkQCDqJq/jL1VdfzR//+EdMJhOvvvoqbrebq666Cp1Ol+j2DQsilaGePjaLlZUNLP90ryihLBDEwEDTCgYrKv5h7e4OK6WGU8fmUJBpFIPd4cz998OIEaGP/aXYq2tz4vb5yTQo69N0GjINintRu9sPEqhRAl19ssy9b2yhqPJFrrzgfM4991wAcnNzaWxspKCggMbGRnJycjj77LN5/vnnufPOOwE4fPgw69atQ6PRMGfOnEE8IQKBINWIS1TbbDZMJhOVlZW88cYbnHnmmfz85z/nN7/5TaLbN2zobmnry4IylMRakUwgGI4sOLaYBccWd+nvZqM2Zqu3IIU48URoawt97C+WpTjLyM4GG25fIFRRMT9Djy8g4/L6kYCADGq1hNmgof3TFzloMHPKvIWh/Z111lmsWLGCW265hRUrVnD22WczevRo1q1bF/rOvffey5lnnikEtUAgiC/7h0ajwefzsWLFCm6++WZ+9KMfsXPnzkS3bdiSqtlAROo/wdFGMPPDE5cdxx3nlAtBHQGLxcL27duHuhn98/HHcMUVoY/9pdibV1FInkmPzeXD6fHh8vgIBGDSiAwMWjVqlYRBqybLqEXVugf/3i/x1Vdz09VXcOGFF7Ju3TpuueUWPvvsM84991w+//xzbrnlFvbv38/+/fsH9dAFAsHwIC5L9bXXXsuFF16I2+1myZIlALS3t8e0j/vuu4+1a9eSm5vLP//5zx5/37hxIz/4wQ8YNUqZqj3nnHNYtGhRPM0ddFI1G0g8FckEAsGRx7XXXssf/vAHfD4fCxcuJDc3lxNOOIH77rtvqJvWO+PHKz7VHfQXyzK5yMySueWh7B8yMjPKcrh2ZgkPvbuN7fVWTHoNkgQUjifjmmfQaVScOj6PJy47LvQ7wZzVQVasWAHA9ddfD8Djjz+evGMWCATDirhE9cUXX8y5556LWq3GYDCwb98+pk2bFtM+Fi5cyDXXXMM999zT63dOOukk/vjHP8bTxCElVbOBpKrYFwgEg0vQhe+NN97goosu4kc/+hHnn3/+UDerb8aMgYYGcDrBaGRykZk5k/N5YUMtDVYXhZkGrps5pouBIJhysTvXzRzDfW9W0u7xY9Sq8PplPP4AFSMzhvw5LRAIhi8xieq77rqLKVOmMGnSJCZNmkR2djYAJSUlPPbYYzH98PTp0zlw4EBM2wwXUjUbSKqKfYEAhL//YOL3+2lsbOTDDz/kJz/5yVA3Jzo0Grj7bqp31fN+vY9t9Rb2tzgpLzQxozQHm8vHmqomyvJN/fabBccWc+BwO8+t34vd7SfDoKFiZAbZJkO/xWQEAoGgN2LyqV64cCGSJPHOO+9www03MGfOHG699VaWLl3Khx9+mPDGff3111xwwQXcfPPNw8pnO5gNxGzUUm9xYTZqUyJIcV5FYVwVyQSCZCP8/QeXH/zgB9x0002MGTOGY489lv379zN27Nihbla/VN3+U/7wrVV5drV7QYLqRjstdnfMsSu3zp7AyzefzI2nl3Lq+DyOG5OTtOd0b2XQP/zwQxYsWMCkSZMi5rs+ePAg06ZNY/ny5Qlvk0AgSDwxWapnzpzJzJkzQ599Ph+7du1i+/btbN26lfPOOy9hDZs6dSoff/wx6enprFu3jh/+8If861//Stj+k81A04Ilg0ip/0Q2hKFDWGY7Ef7+g8t5553X5Xk9evRoli1bNoQtio7ap57lwgP72HzjT7C5fWQaNLh9AWqaHORnGGJ2Zxus57Rarebee+9l6tSp2O12LrnkEk477TTKy8tZtmwZDz30UMTtHn/8cc4444ykt08gECSGuHyqDx8+zIcffoher2fChAnMnTuXCy+8MKENC0+8P3v2bH7xi1/Q2tpKTk5OQn/naBM2qSj2j0ZSOe3iUCD8/QeHX/3qV6ECJpF44IEHBrE1sXNAncbZO7eyGcg0aHF5/eg1KuwdWUC6u7Ml4/k+b968mLcpKCgIVWYML4N+2mmn9brNmjVrKC4uJi0tLe62CgSCwSUuUb1o0SJmzpzJa6+9xtixY/n6668ZPXp0Ql1AmpqayMvLQ5Iktm7dSiAQCPlwJwohbARDhbDMdkX4+w8OFRUVQ92EASEfcwy5z/0KgPEF6Xy1rw23L0CmQdOjpH2ynu8jwgrQxEN4GfTecDgc/OlPf+Ivf/kLf/nLXwb0ewKBYPCIS1Q7HA4WLVrE6tWrefnll1m1alXMeU7vvPNOvvjiCw4fPsysWbNYvHgxPp9ibbjyyitZtWoVr776aijDyFNPPdWnhSUehLARDBXCMtuVVA3uPdK4+OKLh7oJcVNVb2G3IZs95kI+/6aW8WPzmVhoYkeDncyO53i4O1uynu+7d+8GoKysLOZtHQ5Hr2XQw3nmmWe47rrrSE9Pj7udAoFg8IlLVOv1egB0Oh0ul4u5c+eyfPlyfvzjH0e9j6eeeqrPv19zzTVcc8018TQvaoSwEcDQuAAJy2xXhpO//5HgMtba2sqf/vQnampqcLvdofUvvvjiELaqd8Ktzn974mU89TY+q2nljPG5LL3iuIjnP1nP9/Xr1wP9i+ru/WTOpFz+38N3c/75nWXQe2PLli2sWrWKJ554AqvVikqlQq/XJ/2dKBAIBkZcovrGG2+kra2N+fPnc//99zNt2jSsVmui25Z0hLARDJULkLDM9mQ4+PsfKS5jS5Ys4bzzzmPt2rX84he/4O233054vEoiCbc6H/fN53zncDMbZl2A2ajt9bwP5fO9ez9pa/fw45/ew7Txo7jhhhv63f5vf/tb6P/Lli0jLS1NCGqBYBgQV5nyuXPnkpWVxQ033MCsWbOor6/nmWeeSXTbko5IMScYqpLyqZp2UdA3Q9VfEk1bWxuXXXYZGo2Gk08+mccee4z//Oc/Q92sXvn2oIVtBy2s3tZAdd1hSj/6Z79W50Q936vqLSxdXc2SN7awdHU17R5fv9t07yfO+p3UbfmEzzf8hwsvvDBUBn316tXMmjWLzZs3c+utt3LTTTfF1DaBQJBaxGWpXrhwIZMmTaK8vJyJEycya9aslLZy9MZwmnIWJIehdAEaDpZZQVci9Re3z8fqba3Dyh1Eo1Ee/QUFBaxdu5aCggIsltTMCV5Vb+HAYeV+zDRo+HbUJH6w41fUNtoYW5jZ63aJeL5Hmpnwt7koyjL0uV33flI0biq3LHuXeourSwl0gHPOOafPfS1evDjq9goEgqElLlH9hz/8gR07drBjxw5ee+011q1bR3Z2Nv/+978T3b6kI4TN0Y1wARLEQvf+0mx3sXH3YTIMmmHlDnL77bdjs9m45557+NWvfoXD4eC+++4b6mZFZGVlQygg0e0LQE4e1nQzbTt2Me/svtPbDfT5HinY0aKWaHV4+9xOPFcEgqOTuER1YWEhhYWFzJo1C4Bdu3axcuXKhDZMIBgMhG/z0DBcg/2695fKOisSMHVkZsgdBFI/g9B3vvMdADIyMnjppZcStt/6+nruvvtuWlpakCSJyy+/nOuuu25A+6xrczImNx2TQUNNowOry8uSh/+GKcOY9HMcbnFutruoaXTgpgyVLFFVb+n198VzRSA4OolLVNfV1VFcXBz6PG7cOPbu3ZuoNgkEg4ZwARp8hnOwX/f+4vEHmF6aTX5G51T/cMgg1JtV+rHHHhvQfnurHDh+/Pi49xm0+uaZDOSZlPMs19ZyzNefwP9MH1B7o/1tr9/PV/va0GtUoDPhl6Q++6x4rggERydxieqf/vSnHDx4kFGjRlFeXk5mZiY7d+5MdNsEgkFBuAApDJb1OJr8walsyQ7vL0tXV2NxdnUFGA7T/GeeeWbo/263mzVr1oQq/g2E3ioHDkRUR7L6yp4A3/nrk/C/94JaHXG7RPSh4G/vbrKjUyt1EtJcTYzLT0djzO5zRkI8VwSCo4+4RPVrr72GLMvU1tZSXV1NW1sbzz77bKLbJhAIBonBtB73Fxw6nCzZw3Waf+7cuV0+f/e73+Wqq65K6G9EUzkwGiJZfeddNAPNshGweTOcdFKPbcL7kEYFa3c08vbmOs4Yn8s1M0ui7kfB377z71tAhgyjhnJXPdrDKowjx6b8jIRAIBhcYhLV69atY9KkSRQWFiJJEiUlJZSUlCSrbQKBYJBIdPW5vqyE/QVxDadKp0fKNP/evXtpaWlJ2P6irRwYLRGtvnPmwJo1EUV1sA95fH6+3m9Br1GRZdRQedAa8wBtcpGZc6eMCPVZR6WSiXY4zEgIBILBJSZRvXr1ap5++mlaWlooKytj0qRJoWX8+PGoe5mGEwgEqU0iUwv2Z2nuz7rbvS3Ndhc7G+w02JTKf6nkCgLDc5p/2rRpSJKELMtIkkR+fj5LlixJyL69Xi8/+tGPoqocOCAeegh6KeMd7EMb91jRa1QYtGpkWcbm9oXyisdyzcL7rBoZf0AeFjMSAoFgcIlJVP/6178G4Nlnn6WhoYFRo0axceNGHnzwQcxmc6h8q0AgGF4kMgVYf5bm/qy74W1ptrv4al8bAIUZ+pR2BRlObN68OSn7lWWZn/3sZ5SVlUVVOXBA5ObCW2/B6adDN3/wYB+yu3yY9Iqxx+0LkGnQxjVYDO+zrb4Aeo1a9EGBQNCDuHyqP/jgA959993Q56uuuorly5cnrFECgWBwSaRvcDRW776su+Ft2dlgD60fX2BKaVeQ4cC3337b59+nTp06oP1/9dVXvPPOO5SXl3PhhRcCcOeddzJ79uwB7bdX3nwTGhrg9tu7rA72Ia1awu31gyTh9gWoKM6Me7AY7LN/rfs89FkgEAjCiUtUm0wmKisrqaioAKCiokKk1BMIhjGJ9A0eqNU7vC0NNjeFGXrGF5hCaeuGQ8q6VOXxxx8HwOPxUFlZycSJEwHYsWMHFRUVvP766wPa/0knncSOHTsG3M7e6O6rf9lZ8xj16gs9RHWwD720YR+f1rSQnaZl2hgzWrV6wG4bF1988UAPQyAQHKHEJaofeeQRFi9ezDHHHMPUqVOprq4Olb0VHB2kcsozQXxEsh73dp37uv6JsHqHtyVWgS76Zu8EC70sWrSIt956KySqq6ureeaZZ4ayaf3y/tY6ln20C19AJiddi8fr53fa8Tz25ZeoGxt7uIBMLjLz6MJju/SHggxtaLAYbz8xm0VfEggEkVHFs1FpaSlvvfUWZ5xxBs3NzZSVlfHcc88lum2CFCUYiGZxersEolXVW4a6aYIE0tt1fn9rXZ/XP2glNBu11FtcmI3auP1P51UUYnF6sTi9BGQ59P95FYUxtVn0za7s2bMnJKgBysvL2bVr1xC2qG+q6i0s+3gXSJCTrsXtC1DdaMel0fPCsrcgP7/XbScXmbnjnHKeuOw47jinPCSo4+0nlZWVVFZWJvLwBALBEUJM5uVly5axePFivvrqKyZOnMj8+fOZP39+stomCCOVrG/DKeXZUJFK1yteervOL2yoZUpRZp/XP1EZMWJ1SxF9MzomTpzIz372My644AIA3nvvvS4iO9VYWdmA1x8gN12HJEkYtErw4SGri+1mM/z5z3DzzSBJUe8v3n7y3//+FyDk/igQCARBYhLVp59+OgAvvvgiO3fuxOfzMW7cOCZOnMjEiRM577zzktLIo51UK4aRyPRrRyKpdr3ipbfr3GB1MaM0p8f6ZF3/WAS66JvR8dhjj/Hqq6/y4osvAjB9+nSuvPLKIW5V72yrt9Du8dHq8GDUqclJ05GmU9Pq8DKzLBd+8SRMnQqnnhrV/kQ/EQgEySAmUT1t2jQAnn76aUAJdtm5cyfV1dVs3bpViOokkWrWt0SmXxuO9GeFTrXrFS+9XefCTAM2ly/i9R9qC/3R3jejRa/Xc/3113P99dcPdVP6parewv4WJwatGo8vgNsboN7iItOgQa9RM++YEXDrrfD001GLatFPBAJBMojLp/rqq6/Gbrej0+nYunUrFouFO+64I9FtE3RQ1+Ykw9B1/DOUVpVY/VxTlap6C0tXV7PkjS0sXV0dlT9lNL6YqXa94qW363zdzDER15cXpg+5P/OR0jeTxY9//GMAzj///IhLKrKysoHyQhN6jZo8kx69RsLrD2B1+Vh89jhl0HbzzfDxx0p6vSgQ/UQgECSDuFJ22Gy2UFq9N954gzPPPJOf//zn/OY3v0l0+wSknlXlSCjNHK+LRjRW6FS7XvHS13Uuyzf1WJ8KFvojoW8mk5/97GeAUsBruFDX5qQkLx2vP8CWOgsOTwCTXsPobCNl+SZ+9tZWNu+3kH7nX5nwWQPXzjT0e71FPxEIBMkgLlGt0Wjw+XysWLGCm2++mfnz57Nw4cJEt03QQSILcySK4ViaOZx4BWA0vpipeL3ipbfrHGn98k/3poSf6nDvm8mkoCPtXHZ2NgaDAZVKxZ49e9i9ezezZs0a4tZFpjjLyJ4mO9sP2fD7A2hU4PEF2N/azkPvfEuz3YNJr8ZjymTyH57gD/uv4vbLZ3bpA725JcXTTy6//PJEHp5AIDiCiMv949prr+XCCy9k7dq1nHXWWQC0t7cntGGCThKZokygEK+LRnGWEZvL12Vddyv00Xq9ojk3gtTgmmuuwe1209DQwE033cQ777zDvffeO9TNisi8ikK+qbPQbPcgAxqVhD8gY3P7qGm0k2HQYNRpMOg0mH0uzn3rT6ys7HQDSXSaxbS0NNLS0hJ0dAKB4EgiLkv1xRdfzLnnnotarcZgMLBv375QEOORyFAHX8HRaX1L5nmP10UjWiv0cLpeiTrPR5KF/khHlmWMRiP/+Mc/uPLKK/n+978fKiueakwuMiNJYNSqCMig06goztBR1+bE7vai13Taht6Zfx1P/eJqvtleDeeUA4kPHP76668BOP744wd2YAKB4IgjLlG9d+9ennvuOQwGAw8++CAlJSU89thjiW5bSpCI9GipIMqHG8k+7/EKwFh8Mbv/fnlhOtUNjpTqB4lM/5dMP1VxDyUWWZbZvHkz7733Ho888ggAgUBgiFvVO3qtGrUE7d4Abl+Aw+0eJFlGkiTcvkAob/UBjYmXTrsU3YbPWDqpnHkVhQlPnydEtUAg6I24RPXdd9/ND3/4Q5544glAKXH75z//md/+9rcJbVwqMFArx5GSs3iwSfZ5H4gAjMYK3f339zbbef3LWjIMGtQqiZ0NNirrLCyZWz6k/SDRVrxkWOjFPZR47r//fv74xz8yZ84cJkyYwP79+5kxY8ZQN6tXxuak8UlNMwaNGq1awu0N4PIFyNSrsbl8yLKMy+vnoMXFa2deyenleZjabDy3vh2jVtVrCkiBQCBIJHGJ6kAgwOzZs1m6dCmglLjduXNnQhuWKgzUypEKGRGGI4Nx3pPpotH993c3OXC4/cgylOSm4fYF2NPs4OUN+3hk4bFJaUM0dD/PzXYXOxvsNNjcAClhERb3UOI5+eSTOfnkk3E6lftp9OjRPPDAA0Pcqt7JSddhNmrx+WW8fhm1SiI7Xcdxo8xkp+nYvN9Ca7viMz19bA4TLPVc9MCt/P7//YN2dFicXqBzVmpfi4ORZgNL3tgiZj4EAkHCiCtQsaCggP379yN1lISVZRmXy5XQhqUKAw2+OlJyFg82w/28d//9eqsLg1bC3zFlbdCqMenVbN4fe7BUPPm1e9su/Dw32118ta8Nq8tHYYZ+SPJMR2Kor+WRyObNm5k/f36oYNf27dt5+OGHh7ZRfeD2y8wqz2NsXjr5mXrG5qVzTHEme1racftlzplSyLi8dLLTdHy938KHnkz2jZvKea88jdsvdwkc9vj8qCQJrUY9ZPnUBQLBkUlcovr+++/n5z//OU1NTbz55pvccccdTJgwIdFtSwkGWiRAZESIj+F+3iP9vizTJahKAmTkmPYbbyaD3rYrL0wPndudDfbQ98cXmELW4fBMCuH7i0fYx8NQX8uo8HgghX2Su/Poo4+yfPlysrKyAJg0aRL//e9/h7ZRfVCcZUSv0XBKWS4njMnC4faxfmcz+1ocfLW3hQ+/qafyoJVGqwuTXo3b6+fX837A2E/XcGrNf5lcZGZeRSHFWUY+39VMZZ2F9dWNbNzTisfn77WfCwQCQSzE5f4xatQo/vznP7NmzRq2b9/O9OnTufTSSxPdtpRgoMFXIiNC//QWhDacz3v3389J03HQ4iQ7XYcsy7h9AexuPzPKcmLab7yuEL1tV93gCJ3nBpubwgw94wtM5GcYQm2va3N2uUZ6tcRBi4uS3PSIPs6JDioc6mvZJ/v2weuvw8qV8LvfQUXFULcoaoqKirp8VqnisrEMCsE+cNjhZvshGw1WF15fgDSdBqvLB/gAmcNOL+Y0HXqNCmtaBvfc/Bt+evmc0KDS7w/Q6vCiVUu0tQfQqlVsqvVy/Ggzdrevv2YASkVhgUAgiERcohqUAjDz5s1j3rx5iWxPSjIQ31tRuatvogkojIehPu/df3/62Gx2NGjw+mVsLh86jYoxuWlcO7Mkpv3G62ve13bh5zlSmkGdWupyjdZXN2F3+SgyG1BJ2i7CHkh4UOFQX8seBALw+efw2mtQXQ0XX6z8v6OwynCgqKiITZs2IUkSXq+XF198kXHjxg11s3ol2AfuemMrjTY3NpcPjUpJr6eSJKwuLya9Gp8f/AGZ3c0OANx5o1E5XQS+fyt5tz/EljYvBq0KCcV10e72kWfSU1Vv48yJ0V0/rVbb/5cEAsFRSUyiesWKFTz++OPodDruuOMOLr74Yr7++mvWrl3L+vXreeutt5LVzmHNcMpZPNgkMwhtqM97999PhAU33vza0WzXm0U4Tavqco08/gAmvZqaJkcPi3ayrme0GVeSmnbPbod334W//x0yMuB734OnngKdLnG/MUg8/PDDPPLIIzQ0NDBr1ixOO+00HnrooaFuVr9YXT7GZBup9vqRkbG7fZj0ymtMliGAjC8gU5xlRO6IX/hDpYXvubxc8n8P8dlF95Bv0nPI6kajApc3gCzLtDl9UbuWffnllwBMnz49accpEAiGJzHN9/3+97/nueeeY8WKFRw4cIAbbriBH/3oR3g8Hu6///5ktVFwBCOC0GIjXl/zaLbrrRKk2y93uUaZBi0yYA/zcw4K9KG6nomumteFPXvg8cfhggvg22/hl7+EF1+EBQuGpaAGyMnJ4cknn+Tzzz9nw4YN/PznP+fVV18d6mb1ycrKBrLTtCBJpOvVyLISleBw+zBq1bh8AdSAXq1YoT1+mYriTMxpOn531b2kH6rj1g+fQ6NWdczaSEiSspwxPjfqAdi3337Lt99+m7TjFAgEw5eYLNVpaWkce6yS/mvRokWceuqprFq1iszMzKQ0bjAZyuISR3Nhi3gtr8ONROVajtcVYiAuFN2v0fiCdDbsaiXDoCEgy118nFdWNgzJ9Uy4hTwQgE8/Vdw6du2ChQsV3+n8/EQ2e9Cpr6/n97//PY2NjcyZM4cFCxawbNkyVqxYwYIFC4a6eX3y7UEL/kCA/YedqCUJtQQBWcIny4zO0JNh0NDq8OD2BzAbdVQUZ5JnMhCQZYwZ6fzhrt8xYu8O3N4ASJCVpmXSiAxUKhXXxOiGJRAIBJGISVQ3Nzfz+uuvU1paSmlpKSNGjDhiBPVQFZdItcIWgy3wUzoILYEkUvTF69bS33a99cU5k/NZU9UEKNdIq1ZTmpdOYaaeeourh0BPxvXsr18mrGqezaa4eLz+OmRlKS4ec+YMW4t0d+6++25OPvlkzj33XD755BMuueQSJk+ezLvvvkt+Cg8YquotHDjckVM720iTzY3bL2FUSRh1asxpOsxGDSqVihEZekrzTaFtbS4fU0eamVdRzsrKEVzz0nIMLU2suvw2xuaZjiojhkAgSC4xierFixdTXV3Ne++9R3V1NQ6Hg+uvv57JkyczZcoUzj///GS1M6kMRXGJoEj417ZD6NQqKoozewR9DfaDfigEfsoFoSWJRJdK7k40g6H+vhNNhpBvD1qwunyYjRryMww99pGM6xlNv9SpJdZXN+H1y5gMGsbnp6PTqKO3kO/erVilV6+G00+HRx8dVpk8osVisbB48WIAzjjjDGbNmsUTTzyR0pk/QOmbEwtN7Giwo1apKMlNx+ry4fL4GFeQweicNDIMGmpbHGyqbQOgJC+9y6AuNKg89k6YP59LP18O//d/oIk7Xl8gEAi6ENPTZMSIEZx55pkUFip+mIcOHWLHjh3s2LGDdevWDVtRnWzB051wkYCsFM/5al8bJ5ZkkWcyDJlP8VBVrhvqgMLBIFluLlX1Fl7asI9Pa1rITtMyZWRGRNEZjTDtL0MIQG1rO6OyFQHT26Ar0dezv35ZVW+hwapkhDDp1bg9PjbubmVMbhp3z5vY+44DAfjkE0VM794Nl1wC//gH5OYmrO2piMViQZaV/OhZWVnYbLYun1ORujYnY3LTMRk0bN1vYXezA6/Pj8sn45eVgMXxBemMzVMs1PVWNzqtOvKgrrAQ1q5VXHqeegruvntoDkogEBxxxCSqV69ezdNPP01LSwtlZWVMmjSJSZMmMXv2bG666aZktTGpVNVbqG1t5+vaNnJMOsbnp5OfYUiqH2i4SMgwanF7/eg1EjWNDvJMyf3tvhjswcXRRDLcXIJCeXeTnWyjcitvrrVwYklWqJhFUExEM2DqT/gP1aCrv365srKB0TlpjDDrqWl0KOnVDBpGmg2R22W1wooVnQL6iivg7LPhKEiVZrfbWbhwYUhEA1x88cUASJLERx99NFRN65Ng3wTwBmRy0nQ02tyAH4fbR1u7h6/2eTmxJIsxueloNWqeuOy4XvdXZQ/wrzuWUn/YwcTnVzFrXA7jZkWXzeP6669PwBEJBIIjkZhE9a9//WsAnn32WRoaGhg1ahQbN27kwQcfxGw2s379+qQ0MlkERUlRph5Lu4f9LXa+OdCGJEkYtWpumTU2Kb8bLhLG56ezqbYNvVrC4vSEsjIk26c4kivA0RI0OBQM1C0i0vUKilyvX8akVyNJStaDmkYHJ5fmdBkMRTNgmldRyG9X7qDV4cHjC6DTqMhJ14WsvUM16OqvXwbbpZK05JmU9gVkmXqLq+uOamoUX+k1a+CMM5SMHlOmJLXtqcbHH3881E2Ii3kVhTyxqppv6trw+AJ4/Ur1SpWk9AWb24FRq8bq8jK9JDtksY5E+KxNfn4W6R99TuGPf0ndb56k+PYb+9zuaA0oFwgE0RGXM9kHH3zAu+++G/p81VVXsXz58oQ1arAIt7y12N3saXYgyzI6jYpMo4aX/7OfUdlpLDi2OKG/Gy4S8jMMnDAmi28PWlFJSj7gZPsURxuQdqQGDQ4V8bpF9Ha9bC4vk4syMRk0uL1+DFq1UknO5Q2JzqAQ+PaghZ0NtlBGBKDHd7bVW9jb7ECjllCrFIGu6hDqMHSZWvqz8vfZLr8f1q1TxPS+fXDppfDmm5ATWyVLwdATkGW8PhmNSkW7x4/fL6PXSvhlkAMybnwEAgE21bZx7tTeU0x2n3Gpm7OAVwqLuezRe6Hqa6UyZjfC78Fcx14sbX6ea20fsoBygUCQmsQVnWIymaisrAx9rqioYO/evYlq06ARnlN3d0s7mQZF5Bp1GgoyDKTrNbywoTbhv9s9Z7BOo6Ys38STlx/LHeeUJ/0hHf5SUUlS6P/BgLTueYrFSyOxVNVbWLq6miVvbGHp6up+cyn3dr2sLh82l4/x+em4fQFcXj8urx+dWoXF6aW8MD2Uu/m4UWbsLh8bdrXSaHOG+l/4dyztXvRaNWqVihPGZHPmxAJG56SFKiXGmyN7oPSWPxtg6epqttVb+M+uFvY02UPtcre0csW2j+DCC+HllxV/6ffeg5tvFoJ6GLKysoGS3HQmjMggO70jFkUCl1dGBWhVEkgqkCSmjc6iusHR674i5VK3VxzHbx9/Vekffj+sWqVUkwn7/eB95z98EI29IeRiJRAIBEHislQ/8sgjLF68mGOOOYapU6dSXV2NZhhGUIdbuBxuP2laFf6AjF6jjDUy9GoarK5+9hI7Q53xItqS1YLEE0+Gld6ul9moCfXf40ebqaq30eb0ccb4XK6ZWdJFCJiNWmaUSXx70MqW/VbOmVIYyisd/LvN7SPToMHtC4SqJYa7dwxlv41UnTJ4HieNyCRNq2ZHg52M/btZsO0TjqvZRPo5Z8P//i9Mnpz09gk6ue+++1i7di25ubn885//TMg+g/dAbpqW7fVW/AGZQMffAjKkayUMWg2ZRg0leek9XJLCXTdqW9vx+vxdXERsLh+FBdlwbDnU1cFPfwrFxbBsGZSXi3gTgUAQFXEp4dLSUt566y3WrFlDdXU1ZWVl3HHHHYluW9IJn1ZO16lp9/hRqyQKMvUA2Nx+CjMNfe0iboZSvA7VNL7wSYwv2K/79Wq2u6iss+LxB5g2Wo/X58cXgDMnFnQ5p8s/3dtFCORnGJhVruSWvuOc8h7fyTRocXn96DWqULXE7v0iVQZd4edR8vs5Y/83/M9H/yTncCOlt10HSx8SFukItLW19fn3RGT/WLhwIddccw333HPPgPcVJHgPtLR7yU7T0u7xEVLVQLsnQKYBCiIEmXcfyHq8fv6zu4Xth2yoJKlH7ADFxbB5MzzzDJx6Knz6qYg3EQgEURGXqN67dy/PPfccer2ehx56KNFtGjTCLW+js41UHbKRbdRi0CjT5w63j8VnjRvqZkZFLIJ1KAqupFqRm6EiHotX+PVy+3xs3H0YCZhemo1Oo8bi9EY8j9EIgfDvjC9I56t9bbh9ATI7Uubtb23Hk6lnyRtbUmogVNfmZKzaw4RVa5jwySras/PYfuZ8Xi89jt9+78Shbl7KsnDhQiRJQpZl6uvrQ8W7rFYrRUVFCQlknD59OgcOHBjwfsIJ3gMHDztpa3cDSolyFSBJirW62e5h4ghVj2dZ94GsqaOA0eF2DznpSlGf8NgBQMkEc8cdcO21kJvL9/65jG8+/4ZNl96IjIw/IIt4E4FA0IO4fKrvvvtu5s6dy3//+18AqquruXuY5vqcXGTmjnPKef22U3lsYQX5GQYa7R4yjVruPW9iKEgxVj/YwSQoWC1ObxfB2lsbe/NRTaZY6s0v+GjzSSzOMmLrsAIH6c/iFX69tuy3kmHQMKMsh8JMY4/zGN5Pm20u9rU4+vSBDveTzknXM7FQmRLPNGrx+vwhn/9o+tWgsWMHC/+5nAUP/ZDMxnrW33IPq3/6KJVTZ1CUmzG0bUtxPv74Yz766CNOPfVUnn32WTZu3MjGjRt59tlnOf3004e6eb0yucjMnMn5OL1+nN4A/oDcIasV12eNCtRqFdWNdmwuLysrG0L9tLsPdU2Tg9x0LbkmPXOnFvWIHehCXh5IEkWXXsDJOic/vm0+31nxFlqV+qgzCAgEgv6Jy1IdCASYPXs2S5cuBaC8vJydO3cmtGFDwYJjiyNm+kh1K2s8LgWDPY0vfBIV4p0lCF6vzvRxnZa14Hns3k9tLh8qScLj81Nv8UX0ge7uJz02z8RtZ45jcpGZpaur0WrUg56XOiI+H/z730oWj4MHGTtnPs/MuhRdfq5yHgcpFeWRwpYtW0IpUgFmz57NE088MYQt6p/qBgfHFGfyWU0LfjlMVAMqGXz+AG3tHqxOL3ub7Ty3XsnO0X3Gxu7yoVEp7k5B+n0WjR1L1msvQ20tp3/wAaffdpuS57y0FE4UMyMCgUAhLlFdUFDA/v37Q3lxZVnG5Up8QF+qMFRFL6JlOAhW4ZOoMNBgv77OY8R+mpOG2agN+VD31qZIv58S/erwYXj7bUXAFBfDlVfCmWcyUq3m2m4uT0dieftkUVBQwO9//3suuOACAN577z0KCgqGuFV9s63ewrd1FnwBJSuHHPY3X4e6lr0BdjXZOdDajsmg5c6/b2Ha6CwarG7oKGWuVUvYXD6OGdXZV6J+Fo0ZA7fdpvy/oQGWLFEKCC1aBDfckLiDFQgEw5K4RPX999/PAw88QFNTE2+++SaffPIJEyZMSHTbUoZkiYtEBe7FKliHImBwKPy4U5WBzBL0dR67ByYGvxNvPx3SgdD27Ur58LVr4ayz4P/9PyjvOjBIlaDJ4ciTTz7JM888w6JFi5AkiZNOOoknn3xyqJvVK1X1Fva3OGlzelF1+FDL3b6jAjQqCYfbhzUATq+fEWYjOo26I8e1MmMzdWQmDVY3WrWyPtZn0bp16wCY/cMfwu23w+rVsGOH8sdnn4WxY4+aCp0CgaArcYnqUaNG8ec//5k1a9awfft2pk+fzqWXXprotqUMyRAXiXQpiUWwDpUry1CnEUwWgz1A6X4e9WoJo1bF8k/39poqLN5+OugDoaCLx2uvwaFDcNllSjnxKDNSiOwy0ZOVlcUDDzxAe3s7aWlpCd33nXfeyRdffMHhw4eZNWsWixcv5rLLLhvQPldWNlBeaKK60YYcQVADaNQSWo0Kl9ePRi3h9AbI6Ji5KclN7zJj072vxPIs2rNHuSdmz54NKhXMnassoERNPvywEuB4660Q5mIjEAiOfOIS1StXrmTu3LnMmzePefPmJbpNKUdv4mL62CyWrq6O6yWeSJeSWATrULqypLplMVZRNpQDlMlF5q5V3kwaPF4/m2rbABiTmx5RBMdyjIM2EAp38Rg1Cq6+GmbPBrU66l2ketxDqrFp06aQqF67di3bt2/ntdde4+GHHx7wvp966qmBN7AbdW1OSvLSSdOqsXv8IX/qcDx+mYDsJxB0BQHG56cDPWdskvYsuvVWZdmzB4JxRt/7Huj18N3vsuO4U/hgn1MM/ASCI5S4RPXdd9/Nv/71L/73f/8XdceL78033+SSSy5JaOOSRTwWLaNWxcY9LUhITBttDpX0jvcl3ptLybaO7A2xPnSjfUmkhJ9sChKPKOs+QPH6/exusnPn37dw7pQRSX9hdv/90nzFQl1vdaPVqHuI4O7HuLfZzh2vH2JUtpGpI80R25vUgVB1tWKV/ve/4TvfiejiES2pHveQajz22GMsX76c22+/HYBJkyaFsjmlIu1uL69/2YjbpySnluhMpRdEQskEIsvgD8iU5KaRn6E866KZsUnoTEdpqbIA/OY38P772J/9E/r9v8LyxKucVFtJW52ePzWX8f2OwGCBQDD8iUtUl5WVMX36dBYvXszTTz+NVqvl5ZdfHhai+v2tdSz7aBe+gExOuhaP1x+KEo/0YAsXInMmF4asf5/VtAzoJR7JpaS2xcH+FifFWWlJs7aJgMHIxCPKwgcozXYXX+1rQ6eWQAaL08tvV+5gpNmA2y8nxSoVaYCUpldja/JG/H74MTbbXexosANg7cicMSiWXb9f8ZN+7TWlct1llylW6gEWHRGDxdgpKirq8lmliivDatJ5f2sdX+07jMsbwKRX0+b0EQAkWfGjDtaAkVF8qjUqCSSYUpQZtc90Vb2FJ1ZV02x34/b52dlgo7LOwpK55QO/H0pK4Ac/4E8T5mB1uJVBbfU3nPPhGxjbWjgwbSb8+31wucBoVEYLAoFgWBKXqJYkiSuvvBKj0cjtt9/OM888gyxH8nJLLarqLSz7eBdIkJOuxe0LUN1op7zA1Kt46k1sbdzTwpzJhV2+G8tLPJJLyY4GO+WFpqRa20TAYGTiEWXhA5SaRkdneXujBo/PT21LO60OD7PK8wdlgNRkc/HlnsOYDJqIg7JvD1qwOr3Y3X4sTg9pOjXZaTrsbn/cfS1q657FovhH//3vUFSkTImfeSZo4noE9UAMFmOjqKiITZs2IUkSXq+XF198kXHjUrPQ1QsbaslO15OvkmiwutCowBtQRLRapaTTkwCVSqmOqNOoKcrUU5pv6tVtqXu/3dlgZU+zgwyDhkyD8m7Y0+zg5Q37eGThsV3aE68PevgzZtOlN7Lp0hsxNh9Cs3Ur5SoVPPYY/OEPcMopMHMmLF4MHcV5BALB8CCuN1qwCtdFF12EXq/nlltuwelMfYvQysoGvP4Auek6JEnCoFVcVw5ZXei0kf03exNbEkpapnhf4pH8VUdlGynJS+/xW4m0th2pAYMDJR5RFj5AsTg96NUq3H6ZqSMzqWlyYNKrsTg9bNzTit3lQ6uWeGnDPh7t9pKOl+4DpG8PWpGBiuLMUIEdIFTU4sBhpR9lGjTUW/y4vIqNLztdH9pHLH0tKpeZnTuV3NIffaSI6CefhEmTEnD0XRGDxdh4+OGHeeSRR2hoaGDWrFmcdtppPPjgg0PdrIg0WF0UmHQ4vQECMmToNVjdPnwB8AUUQW3UqjBo1Rh1ajIMWtIMvaeRjNRvP9vVQoFJH3onGLRqZFlm8/6ehY4uv/zyuI4j0jPmUHou5rPOVT786ldKur7//Ac2bACdTpnReewxRWSfcAJccAGMGBHX7x8NiGBlwVATk6hetmwZixcvZvHixdjtdkwmE+eddx5Go5F77rknWW1MGHVtTnLTdbh9gdDDU69RUW9xgSRFLMXcm9iaNtqMxalMs8f7Eu/ur7p0dXXCU+P19h3xoOlKPKIsfICiklQgSZwwxkx+hoGv91vw+nzYXH7MRj8mvRq318+nNS1U1VviOv+RruWcyfm8sKGWBqsLh9vHSSVZ5Jk6B4FBobyysoGJhSZ2NNhx+wIYtWraPX5aHV6mj80BYrfs9uoys7Weyds3KYKgtlZx8XjzTcjJifmYo0UMFmPD7Xb3SKHX1NQ0RK3pm8JMA1anF6vLixwI4PD68QU6/y6j+FC3e3z4AjImvQazsfdXW6R+KyFhcXnJMelD31OCIRM3AxvVM6a4GC65RFkALr5Y8c3+z3/g888VK7bVqvz9+ONh2jSYNw+mTElYO4crIlhZkArEJKqDZWxfeukldu7cic/nY9y4cUycODEhUePJpjjLiNfnD/mS6jUqmmxuLE4vJ4zJingj9vYgvGWWEoSSyJd4olPjpdpDJpWtCPGKsuAAJXjtgjlxtWqJg21eCjM7rV9IEtlp2rjceSJdyydWVROQZaYUZTKjNIf11U3sbHCQk67vEaBV1+ZkTG46JoOGmkYHBq2SeixNpybXpA+VKo9lUNh9FkfnsDPjs9WUfPwBHDdOcfE466yEuXj0hxgsRs/ZZ5/NvHnzePTRRzEYlGt4yy238Pbbbw9xy3py3cwx/PK9bRxu9+LxRxa5br+MVgUBWWbSiIwuaSW7E2n2sTjLQG1rOy6vH71GhdsXwO72M6Os50BwzZo1AMyZMyem44jrGaPXw4wZyhLE64UXXoDNm5WlqgomT1aCfEeNUgT2mWcqg1mHA9LSjgo/bRGsLEgFYnrbTZs2DYCnn34aAI/Hw86dO6murmbr1q2cd955Ue/rvvvuY+3ateTm5vLPf/6zx99lWeaRRx5h3bp1GAwGHn/8caZOnRpLc3swr6KQ365sw+nxsa/Fjd8vgyRzTLE59BDufiP29yDs7qcXb4q94L4SmRovlR4y0Q4C4hHdiRLrAxFl3a/d1JGZNNrc6DUqZFnG7Qvg9gWYNsYclzvPysoGAoEAVfVWrC4vmQYtbQ4PBp2aY0dlAYrbx4ZdrXx70Mqscn2XQdnKygYsTi95JkPIkr232U691U29xRXXoDA4izPK2sikj9+jZNNn7Jp0Al/efg9Tbp4f8zH2RyoPyoYb5eXlnHjiiVx55ZU8/fTTjBkzJmXjYsryTZTkptPmPNzn97wB0PgVMTyvorDX70WafRxfYMLh9gHKQFSnUTEmN41rZ5b02P7AgQNxHkmCBn5areIKcsIJnetkWQkA3rZNWWw2Zf1VV8Ennyiie8oUeO45Jd1fayuMHz/gAOFUQgQrC1KBmET1unXrmDRpEoWFygNLp9MxderUuMTuwoULueaaa3p1G1m/fj179+7lX//6F1u2bOHhhx/mjTfeiPl3uuNw+7A4feg1KnQGFXaXj2a7h2a7KyQ2wm/EaF/kibIKJzI1Xio9ZPoT+PGev6G0xkfqG+F+nD97ayuVB6002d2Ky5FGxbaDNipGRg4+6quvbau3UNvSjkGrJkOvweX1c9DiJC+jc7o6z2RgRlk2W/ZbuwhlUIIYP61pITtNy5SRGeg1GlQqFb+4YEp850mWuShQT+2zf2JU/W52z5rL3+5ayiFNWmgWJ5Gk2qzLcEeSJK6++momTZrEbbfdxpIlS5BS1Jq5srKBIrOBPc06muyePr/rC8gE+hkcRJoRVKlU3DVvItUNjuE5aJMkxXWkuBjOOadz/YoV0NSkWLPr65XvbdigxDbU1CgCff16MJlg+XIoK1OylVRUQH7+kB1OPIhgZUEqEJOoXr16NU8//TQtLS2UlZUxadKk0DJ+/PhQzupomD59ep8j/o8++oiLLroISZI4/vjjsVqtNDY2UlBQEEuTu7CysgG3L0BJblpoSn5Psx27209NoyMkqoM3Yiwv8pc37GN3kx2PP0CmQcv4AqWCV19W4YFY3qJ5gKTSQ6Y/gR+vVT2e7fo678G/fXvQgtXlw2zUMKWoZw7naPrGNTNLeGJVNTaXj7x0HRJgd/k4aHH18Kvub38Wp69LcK1Bq0avUdPu9nc5Nr1GwzlTCrtUjgvu99RxOVTV2/isppWKkRlkpelY/une2Pqez6eUZX7lFUqdTrSXXMRbI6ZR2+6nOMvILUkSIqk063IkELRKn3jiifz1r3/lJz/5Cbt37x7iVkUmOKD0Bfq3pMsogYx99Yu+ZgQXJLjtQ44kQUGBsgS5+mplkWVFcGdlQUOD8t2PPoJ9++Dmm5WqkOPGKduWlCguJbffrricSBKMGQPZ2SnjWiKClQWpQEyi+tcdJVefffZZGhoaGDVqFBs3buTBBx/EbDazfv36hDWsoaGBEWFRziNGjKChoWFAorquzYnb5yfT0Cky8016Dhx20mx398hpGu2LvKrewic1LWQZNSEr4lf72jqm+n0R2xJrvuzuRPMASfZDJpZBQX8CP16reqzb9SVeAZ5bvwe/P8CBVidIYGn3kKZV97g20fSNyUVmCjP1NNvdeP0yJoOGqcVmdBo1L2/YR16GIXTumm2uPveXadBgbfd28fk0GTQ4vX4sTi8ZBg21LQ52NNgxGzRcvrsFs1GDxemjKFMf2ndhppG9zXZ2HLJzyjgjuSZNdFZfm03JJ/3aa8rL9Lbb4NRTGaVS8aM+r1BiSKVZlyOB5557LvT/goICXnzxRTZv3jyELeodi9OH2+vH5w9ErKQYTkDuO5tTEOF/T6fgBhg9Gn7xi65/l2VYt04JNq6tVazZAG+8Ae+9p6wDaGtTLOJ/+xuMHKksV18NeXmwa5fyOSsr6eJbBCsLUoG4Iog++OAD3n333dDnq666iuXLlyesUclCyUdq65L9Q6NWUZhpICtd18O3dPmne6N6ka+sbCA7TRFB4dbEbQdtnDmx5yAgnnzZ3YnmAZKoh0wk8QzENB3fn8CP16reWxGdeqs7YjaXlzpmFIIid3x+54wCKGJ2W70VfUeKLpfXzyGrm8lFmV2uTbQiz+OXmVWejyrshdJoc/JZTStnTSoInbtPalo4bXwOoI24v6kjzaRp1RyyubG7fJgMGkqMGpodXjbuacHt9ROQZUpy0miwekIDgnaPH0u7B5NBE5qJqbe48AXk6Ky+Bw/Cq6/C++/DaafBU0/1SIk3GL7OqTTrMpx55513uPDCC3n//fcj/n369OmD3KL+kWSZJrsHt9ffby6OgAxV9TaQpLiz7PRH5tGSO1qSFLE9erRy7wd59FFlAXA6le8dfzx4PIqLycGD4HbDgQNw6aXKZ48HHn4Y7rlHKeMOinvJpElwzTWKK4rTqazLy4s7uFkMlgRDTVw912QyUVlZSUVFBQAVFRXs3bs3ke2isLCQQ4cOhT4fOnQo5MsdL/MqCqmss7Cn2YEsy8p0vNvPmNw07p43EVCERXBKXK+OLhf1tnoLPn+A/W1OjBoV+Rl61JLEYacvYsBMf/myoxUp0TxABvqQ6c2ya9SqYpqO70/gx2tV775dbYuDTbVtTBvdM5sLoPgVGzWhFHebats4frQZe0eQUpHZoIhWfWfKRavL20MwRyvyIn1v20Eb2Wldz112mpZtB20UTFS2b7a7qKyz4vEHWLq6mvLCdGpb25lSlEmGQcO+Zgeb97dxwpgsxuSms766SYkPcHi7DAhaHW7aPX5WfdtAWb6J8fnptDg85KbrurSzx4Dgm2/g5Zfhv/+FCy9ULNQRZokGy9dZTO0mhmA9AYfDMcQtiZ52jx9/IEAU3h8A6DQqRmTok+Zzv3Dhwqi+d1QE1ho7nnfhZdnDqapS/nU4FNcxgO9+V6mm2tSkLKBYv195Rfnc2qqI8y1b4Je/VJ47+flw002KeP/b35T0nDk5SraT0aMVq3qKuKEIjm7iEtWPPvooixYt4phjjmHq1KlUV1ejSXDarLPOOouXX36ZBQsWsGXLFjIyMgbk+gGKsFsyt5yXN+xj834LMjIzynJCEd7dxcFBi0uxMOak9foir6q3sL9FcRUYnWWk2e5h/2EnIzINnD4+N+JDtLd82a0OL+MLpKSLlFge9omsKNmXwB9ISrvw7eqtbqaNzqI0v2c2FyDijEJVfeeMgsXpxWTQ4Pb6MWjVuH2Kj3x3wRytyIv0vcPtXk4d1zVV1+SiDD7f1YrF6cXt87Fx92EkYHppNhanlzVVTcyZnB8KpDpkc3PCmKxQ1hqPXynhXGdxUdZRQMjnD9Du8aNVqwEZt8fHxt2t+AMBRmR2tbLbXD6KM/Xw8ceKmG5uVjIHPPSQkpKrFwbL11lM7SaG733vewAsWrRoiFsSPY6O/NPR4g/4OWRzMyJDP2Q+9yKwthvpYUXNzj+/59/vu09ZAPx+UKkUAf2LX0Bjo7IYjYoF/F//UoR3ayuccQb89reKv/eWLYrQHj1acVt5/31lyc1V1n/ve5CRoRgKsrLAbFbEetCtRSBIADEr4UAgwMqVK3nrrbdYs2YN1dXVlJWVcccdd8S0nzvvvJMvvviCw4cPM2vWLBYvXoyvYyR75ZVXMnv2bNatW8c555yD0Wjk0eB00wCZXGTuUXYWlMIr3cVBSW46Hp9Swrm3F/nKygbKC01UN9rRqFWU5KZhdSnHERTr3UWsXi1RZDZ0yZdtdfnQqCSkjt9OlkiJ9WGf6IqSfQn6eK3q4dsteWNLn24ZU0ZmsLlWqZIWTHfXFjaj8Nz6PYzI0FPdUSRFlmXG5qb1EMzRirxI3zt9fC46TVefT4NWw+njczEbtaze1kqGQcPUkZmhfNMA1Q2OUABi9+PMNGhxepR+FxysHbK6OgpjBJABm9tHhkFLcZYBtVoV8sV2WWyUfvoRC7evg5GFynTsd76jvNgiEH4Ntx20ctzoTHpzW0kkYmp34ATjYnrjgQceGKSWRI9eq0YOQKD/rwJgc/nZXm9lV6OKBqsLeqms2IXqasWqWlMDFovitnBs5MqnK1euBGDevHm97k4E1g6AYMKD3FxFLHfnpZd6rvv3v5Xr1tramU4wmLO7tVUJvnS7FYv5gw8q37VYlNiQe+9V3FDsdkVon3SSkgf8+edh48ZOAb5okfKdr77qXDdmjPKv261UwBTW8qOemEW1SqVi7dq13HbbbcyfP5/58+PLR/vUU0/1+XdJknjooYfi2ncsBAXCiq/rKMzQM77AFBIyGQYN9RZfr+VuQRGdJXkdRTWaHNhdPjINGjKN2l5TxQUt4BMLTdRbXLQ4PGjVKhafPY5/72gmx9T1siRSpMT6sE9kRcnBsN7055ZhcXo5sSSLmkYHVpcXnVrFGWEzCkEB3GB1sb/NCTLUW91cN3NMRMEcrf87dBYK0qkl9re2Q04abp+PbQdtHG73cvr4XOZVFIYGMuF+2N3TPO6ot/JRVQNqlcSITANjcoxst7nJSdPh9gawurxYnD7SdSo0ajW56TpUKokpIzPw+uGm08ey7pNtFK54hxM3ryN95slk/O/jvQqJ4O++vGEfn3Sk5ptclIFWLbFx92FmjpOQZahpctBq95Bj0iXNp1UQP8H0p5s2baKmpib0/F65ciXjxo0byqb1yticNMVPOgb8gQAqSaKmyUFVvTKI7nV27i9/UdwPTj5Zyd08ahQsWcLBuefzesU51FndXbYJd0vsDRFYO8ioVEomkuzsznXHHacs3YmUUOGLLxSR3damuJIATJwILpeyzmJRBPO+ffD733eK8ocfVkrHZ2Qo22VkKAOy556DO+6AykplXVaW0s/+8x8lw4rJpKw/7zzlb199pXw2mRTreWamcGkZpsTls1FeXs4zzzzDD3/4w5TNbRoN4SKvMEOP1eVjU63ip5qfYYgpUC4/wxAS4+GiLpKIDVrA8zMMaDVqZo7LCz2wqxscSQ3I6v6wb7K5qGm002BzA/RwBUlkRcnBsN7055YRvN4nl+aE/nZNWIGHYDtqW9uZPNIc2seaKsX3L9o8tuHWXJ1aosHqZnROGkVmpV8FZJlGq5PKDv/qU8floNOoeW79HtK0ql5nAarqLTyxqppWh0d59ssyB1rbOdzuoTjLyPgCE402N9vqraTp1Oi1KgoyDKR3ZKXZdtDGRekOJv/hTSZ/+inMnw+/+oeS37YPgvfK7iY7WR0loL/eb6E0N41ql50v9rSillQggVoFRZm9+7QeFb6mKcrFF18MwKuvvsrf/va3kNve9773Pa6++uqhbFqv5HTz/+8PWQavX8Yf8KNSwZI3tjIi0xC6/0KD+TPGMvnd1zpdnnJzQ/uonnIiLT+5h9PXfMqXN95Bo1PTJTajPxIVWCvulUEiM1NZRo/uXHfqqcoSzimnwAcf9Nze41Gs1XZ7pyi/6SYlSNNuV4IwgzgcSgpDm02plOn3KwGcNpuy/M//KG4vU6bA/v2K+93UqYo1ftkyePNNxZ0mLQ1+9ztlf3/8Y+e6OXOUwkBvv63kIU9Ph8JCZX9NTcrvBb8bQxpkQXTEJaotFgtffvklr776KsceeywTJ05k4sSJMVVUTAXCRd6EQhNf7WsDoKbRjk6jjitQrruI681i0ZsFPN6ArGgfvuEP+yabi021yjEXZugjWo77c3OI5QGfTOtN+PGnaVV4fH7qLb4e7Y3GZSOS+D/scPPEqmoyjVrcPj87G2xU1llYMrc8omgMt8ivr27C5vIxwqxHJWlDA6tt9VbOmlTQ5cUL4PH5e50FWFnZQLPdTV6GnuyAzOF2D37Zj88vM77AxKMdrk1L3tiCRqUIX7VKAr+fyTVbOGXjKuakueB/roYlS5QXSRQEz4nHHyBDrwkNplvavUwvzWZNVSNmo5Y8k57xBenkmRTxEin9pPA1HXosFgt2u52sjop67e3tWCyWoW1UL7j9MjoVeKL0/wiglCtP06kxatUcPOzE6fF3uf+kQIDmhx4BRx08+6zicxvG+4cCWBc/zGlrV3Deb+/m8+t/ws7RE5VMT1G0IRGBteJeGWbo9coSpKJCWcI55RRl6c5nn/VcV1mpiHGHQylND0qQZ0WFsq69XbFse72Kdbu9XRHNVqvy3X/8Q7GmOxzKNsuWKTEyb77Zub3DAe++C3feCQaD4re+dKnSxksuUT4bDHD22XDLLco+6uuV9VlZsHgxbN2qBLYbjcoyc6ZyHqqrO7fPzlYs8X7/ES/k4xLViShTPtRU1VtYva2BgBzAbNQxviCdE0uy2NmgWG1nGrVxBcp1F2qxWiziCciK5eEb/rCvabSH1k8oNPVqOU6UL2uy0qJ1P/5wa3p3QRfNwKOuzYlGBdvqraH0dS1WJ012L5lGLZkGJQ3inmYHL2/Y18VHv6rewkPvbgu5QIzPT1fS9+nVXQoMZRg0NFhdzChVXubVh6xsqbPgcPvQqlV8/4yxtHvkHn1g+ad7Q7nWJUkiXa9B7siv7vF3BnMFz/X0ojQy/72Gmf9ZiV+jZc/cizA9fItiwYiB4IAo06DF1RHEqdcoFUkNWg0FGQbOnlzQq8tKEOFrmhrccsstXHzxxcyYMQNZlvnyyy9ZvHjxUDcrInq1hNxvhuqu+ANgd/swaFWo1VKX+0/l9TDvtWXIzS2w4gWqbH5Wrq7u8lwI9vdvFlxBU9kkTnt+Kab5l/PJMbOiEtWJCKwV98pRjlqtiObwQMpIWVYyMuDuu3tu/8orPdf9/vfKAp0W9QsugNNPVwS806lY6/V6+OlPlc8uV6cFPydHEe1OpxLMDrB3rxIQGtx+7Fil7dde27n9D36gBKKWlSnWe6MRTjxRsb7/6lfKACA4KPnHP5R0jI8+2rnuuusU//r77lPeXXq94gd/ySVKMbL6+s7vXnCBEti6Z0/nupIS5TdbWhSRr9cnzQc+LlF9+PBhPvzwQ/R6PRMmTOC8884LTSsOB4IiTKuWQFaFirWcWJLFlJFmZhq1ffpRd6cv0RmPxSJWERvLwzf8Yd9gc1OYoWdCoSliifZEk4y0aJFEbNANJ7wE+ksb9nUp093XwEOnlti4uxWToTP13v42F+k6dZeKhrIss3m/pUtbfrtyB9WHbGhUEjaXl0aLE5NBiwRYXd7Qd20uH4WZygCgweLks10t6NQqdGrFN/nl/+zn3vMm9uiHkXKtu30BdBpVl8HJ/GIdW5a+xIn//Yi2sRP46trbqCqeyC2zy2IW1MHftTi9jC9ID83oIMto1RIWp5dpo81RBa4KX9OhJxAIUFpayt///ne2bNkCwJIlS8hP0bLUMqDVqPB6/P1+N4haAhXQYvdSmKkP3X96axuzn/sNBw2Z/OXiH7P8rSr2tzgpLzRRkpceei64vT7WV9s6KuSOova2B1n47K8I6A1ojh3R388DAzdGiHtFkFSCgtJojOz+N3duz3WRXMQuuEBZurN1a891e/cqlnWnU7Fag1K984ILFPcZt1uxgMsyXHll57qCAmVdMCjU4VB83UEJMP7yy87vXnih8vnRRzvXLVumuNBUVCgi3+2G669XfN8TTFyietGiRcycOZPXXnuNsWPH8vXXXzN69Gg+/PDDRLcvKQRF6NSRmWyqbUOvkdCpJSrrrJTlmxKa+3YwUoHF+vANf9gPZkGNRJ+L4OCoxe4mJ00byjt9wpgsck166tqcXXyBszt8gTfXWjixJKvXMvKRbGJyh62s5/c6v/nShn3UtrSj10gdRgCZNpcPlUpCQsJk0HSp2nndzDGsqWpiU20bOrWEWiXhC0B2mobD7T4eencb1Q2OLhb1vnKtz6soVEbnr7zCxI8+InvG6bx3x6+oMubFVUK8N7/waWPMSnCl08fp43O7pKSEvgdMoojL0KNSqfjlL3/JihUrmDNnzlA3p188fpnSvDS+PRhdsKIEqFQSeo0KlSTh9gWwu/2M8LdzztJfs3niSTwz/iyOzzZxyOoCCaob7ZgMGvIzDBx2uNl20IpapcKkV+P0+Fjl1tJ6+Z38/P3fYTrjYZg1K6nHDOJeERyBSJJiIdaFxUkUFSlLOCNGKAGf3bn33p7rfhShpu/550dO3RjMiw6dlvoEE5eodjgcLFq0iNWrV/Pyyy+zatUqtm/fnui2JY3O7ApaThiTxTd1FuotLrz+AFNH9u9jGmvwSLJTgcX78B2KghqJPBfBwVGeSR9ySQAlA4VOo6Y4yxj6TtAFI+gLXNPo4OTSnIgDD7dfZkZZNrub2rG6vGQatIzJTqPR5ulSJtzu9jOjrNMXc/P+Nkx6NWl6NQfbXGgkCZ0aDju8HD8mi5FmQ4+qnWX5Jj7e3ohaktGrJTIMag63+wgEAjg8ft7fWs+qykMsPnscC44tjpxrvTSb7xtbKH38QWXUfuml8OabFOTkcFOc5zaSS01AlvH6/Hj9cObEgh79PpoBkyjikhrMnDmTVatWce6556Z8sHlxlpE9jdaovy9JihD3+f2oVeD0SIzNNvCj917gm4kn8o+Tz+f4DD2l+SZ2NtnJNGhw+wLUNDnIz1DuUY1azcml2aGMThkGDeqRZZh+vwx+/GP4wx9gwoQkHrW4VwSCpJKk515colrf4Yyv0+lwuVzMnTuX5cuX8+Mf/zihjUsW4SJUkpRI8TyTnkyDJpSBobdgkFQMHon34Rur5TjVItG31VuwtHtpsruxOn3kmXRkGjS02j2h4w+Wmg8v6OIPBNjV5KTZ7ibXpO+R+i3YP04p68wGsLfZzpYDbYAyYNFpVIzJTQtZaQEkJGQgTadhZJaBVocHh9uPRq3i7nkTe82CobghSeSk62h1ePD6/djdfiSg3eNFr1Wz7ONdlOWbQoOSa2aWUGA8QPr6f3P6O6vITVPBTdcrhRDCg2ViJNim1duUdk0dmdkluNLch2tUbwOm7v0mvIhNKhRxSbV+PRi89tprPP/882g0GnQ6nTLrIUls2rRpqJvWg/LCdJ7/rD3q7wfrxASAQAB0apn5X/2L8jwjM577NZ+/VRma2QvGCATjA4BQxdHwjE4BWabe4oKpU3lv4UJ4+mnOf+QRZTo6SYiCRwLB8CMuUX3jjTfS1tbGeeedx/3338+0adOwWqO3JAw14SJ0Z0NnsN74gt6D9YKkYvDIQB6+0VqOU20wEV7JMt+kR6tS0Wz30O7xkWXUYdSqWP7pXmpb2/H6/IzPT2dTbRsur59DFhdatQqtKnI540iDFJVKxV1zJ4bEoE6tFOoJlrSfV1HItNFmNuxuRZIkjFo1eSY9eo2amWU5fWYIOXFMFp/tamFvczsg43D7kQGzUYM/AFanlzRdINTHdlTvZ/PS55n/xWocRaP4bO7lfDtmKt8/ZRyTByiog20KyAGQVV1STMbjzxmp36ypakp6v4lWKKdavx4sNm/ePNRNiJrqBocy8IyRoBtXSXsrs79azes/W8ptanUXo0owRkCpnKrB4vSiVasiVxztmPlrSUtTpqfvvReeeSap2QxEwSOBYHgRk6het24dkyZNYm6HA/uNN97IihUrqK6u5plnnklKA5NBpGC97kVfuouH7kViBhLclwzLWLIfvtEOJgbL6hdeydLtC5CVpkWlkrA5PdhcXr7Yc5icdC1GbacwPH60mX9vbyIgwwizgWNHmcnPMLC32c5D725jTE5aqM29DVIW0FWI5Zg0ISE2Z3I+h6xumu1uJShKo6Y0L71LHuxI59NsNKOSJDbVttFkdyNJkGnQkKZXbk9fQMIXkLHv2gtfv4PxlTcpnjiNTxc9QNsoJRI8M0L6unjOaWebdB0WPCk0LR6PP+dQDEJjEcqpOEgeLCwWC/v27cPtdofWTZ8+fQhbFJlt9RZsTm//X+yGJIFWBVd+9hZfzVpAjZQGdB0056TrmVhoYkeDncyOfrD4rHGsqWoKVRyNOPM3ahQcOgRPP62kIxMIBAJiFNWrV6/m6aefpqWlhbKyMiZNmsSkSZO48MILKe2e5iWFCRd+hZkGRmTou5SD7i4eIhWJCWYLyTPFJjaGq2UsmmDIwTy2SJUs1Spoc/ooyNDj8HhpcbhRSRJjcwzUW92MyUkjx6TjO6PMFGYq16vZ7mL7IRv+AMwozenS5t7cHHoTYtUNDpbMLY86bV/4+Swfkcn4wgze+O9+vP6OBGIy+AMy4w/t5oLKjznDWgs3XsVfFj1GxpiRqCRJKd7T5FBEh9SzeE+s5zTYpqAFT6eWsDm9WDqWWP05hyKDQSxC+WjNsPDGG2/w4osvcujQISZNmsSWLVs4/vjjefHFF4e6aT2ob3PhjbZGeQfpOiVIcfzBGsZaDvF/407n9I5ndPeZvbF5Jm47c1yXvlGWb+p/5u/RR5VCHRMnwoIFAz1MgUBwBBCTqP71r38NwLPPPktDQwOjRo1i48aNPPjgg5jNZtZHKv+ZYry/tY5lH+/C6w+Qm64jTadm8/42AEry0iNaJcJf0uMLTKGCKTsb7GjV0RWJibQvGD6WsWiCIQfz2CJVsly7oxGVBFaXD41KccHw+ALsbXUxbUwWT1x2HEtXV4cKq4ASsChJEjkmLSpJwuPzs7vJzk//vpVzphQqGTXoWjlyW72FSSM6A1qb7a5QfnOITtj2dj7H5KZj1EhsO9DGsdu/4ruV/ybbZWfdSedw4oP/D8YVYe44Bo/P35G9RoVWLSFJ0oAGMeFtyjMZOLEki8o6K0gy5ijztkd7nMnMYBCLUD5aMyy8+OKL/OMf/+Dyyy/npZdeYteuXSxdunSomxURu9sbQ4ZqhXZPABVw9ref8uGUM6ixeLmxMD309/5m9qKa+cvMhKeeUopilJYqFesEAsFRTVw+1R988AHvvvtu6PNVV13F8uXLE9aoZFFVb+F/V+3A7lLyI9pdPow6NePy0zlkc6PTqiNaJcJf0vkZBk4YkxUq7R1tkZhI+woyHCxj5YXpXQYjRWYDKpWqy2BiMI8tkt/z4XYveo0KGdB0+GDqNBIOjx9rRxBS9+2a7W60KhXj89NDFSb1aomAHMDi9PLEqmoCskxJbnrI+r6/xUmaVs3YPBPNdlcob3NvVSmjbb/F6eWG4/NpfvkNlny+kmZ9Bu9Pn8e3E6ax6JwJTBpX1GXb3U129B3H6fHLnFhiRqtW9zuI6c1Fp3ubtGo1ZfmmAc00DEUGg1iE8tGaYUGn04UCzj0eD+PGjWPPnj1D3KrIeGI1U6P4Uqe77Jx04FueP+0y1Mj846u6ULDvQBgxIixPdVkZPPAA3HUXvPhil1LnAoHg6EMVz0Ymk4nKysrQ54qKCvbu3ZuoNiWNlzbso8XuRSWBTqMceovNzbcHrTRYXejVynT68k/3snR1NVX1SmGP4iwjtg5RBoqwnjLSzEXHF3PHOT3LVPdF931BZHeTpaurWfLGli7tGCqq6i2sqWqivMBEbrqOVoeXHYfszJmc3yNrRn/HliiCU7hmo5Z6iwuzUcsZ43Mx6tSAjM8vI8vg8cloVBLmjhzV3bfLNekpL1T86WuaHOg1KpAkzEYdZqOWZrubVocHs1GxZJuNWso7fDAtTm/EQNdg/utY2j/S0cq9Ve9z3n23cF6ggc23LuH9Ox6h+JIFPHXVNBYcW9xjW69fxu1XisAEXZH6G8QEXXQsTm8XF51gBpTu53SgrjvJ2Gd/zKsoDLmrBGQ59P/grMNQty8VGDFiBFarlTlz5nDDDTdw++23M3LkyKFuVkTsbl//X4rAWbu+ZOPoChz6NHwybK5t43drdg64PfPmzWPevHmdK848Uyk4cffdneWkBUNGqr0/BUcXcVmqH3nkERYvXswxxxzD1KlTqa6uRqOJa1eDyub9baTpFDEtSRCQA3gCAdzOAAUZeiVzAzC9NLuLxTEea1YkayBAk83VpbKfXqPpsq9U9LkOd+sozVdKplqcXqobHIR7EibS6hdNwGP3Kdqqegtf1bahUatwe/04vX5UksQxIzOZ0kvZ9XCRaXN60aolPH6ZimLFvcPt8yN1K/tSkpdOu9eP2aiNOtA1EpNHZDL5QDUt//grji82seH4WTTe8kvOmH0M/9PPtZ5cZOacKYUxuy7056KTjIDXwc5gEGs2nKMxw8L//d//AbB48WJmzJiBzWbjjDPOSMi+169fzyOPPEIgEOCyyy7jlltuGdD+7O7oKymGkGXmVX/O7069kjSdGoNWhccX4LPdLT1SaCaEm2+G6mr42c/gl79USiELBp1UfH8Kji7iUsKlpaW89dZbrFmzhurqasrKyrjjjjsS3baEIyEpeYzbfUAAp1d5WEuShEqSyDAop2N3czszO3IUr6xs4I5zymPO59z9xg53Izh1XA5V9TY+q2nljPG5XW74VPS5jtatI1F5VeN9ME4uMrP4rHEs+2gXaknFqGwtIzINqNWqiFbK7m1GUvrCiSXmUGYXvaZnuiyby8fUkeZQIGN3Ybuv2cEhm5slb2yJPCBwu+HDD+G117A6XLw74XTq7r8Ro9mEzeWL+iUQPohxeX1U1ds43O7ljPG5vQqHZLnopFqu56NRKEdDW7C0bxjl5Uo/bm9vRxde6SwO/H4/v/zlL3n++ecpLCzk0ksv5ayzzmL8+PFx7zN25w844eB2fCoN2wpKKdYp97BKJaGWuz5L4+m3b731FgALFy7sXKlSwSOPwCOPYLnqf3jtih+zU2VKiXvhaCIV35+Co4u4zcs6nY758+czf/78RLYnqQTzCOeka3G4/Xh8SvjLmBwjPlkmo0NABYsAhIuNWF7SkW7szXYliO3YUUp57MLMTr/P3vy3gwxE9CRC7MTio5oIMTOQB+OCY4t7RO5HW/EyKFK1anWonHieSR9yIYhkfe9und/X7GDzfiWFX48BgdrNoeUv4X7jLfYVjaVu7iV8U1yOTquJ61iDA4KXNuzj812tZKdpOW18Dto+ChjFGpgXTf8R1qHhw8KFC5EkCVmWqa+vJzNTmZGxWq0UFRXx8ccfD2j/W7dupaSkhNGjRwOwYMECPvroowGJapXUWdAlKmSZy7au5h8VZ4Ek4fEFOoKQZUZlGULP0nj7ba81GfR6qm67k02PPMPZv7kH4/eXsFs/QdwLg8hwjVkSHDnEJao3bNjAe++9R2ZmJhMmTGDixImUl5cP2MqRbK6ZWRLKI6xWSfgDMlq1xIyyHGoaHbg6LNemDot1vP7AkW7sSG4EkW72vkRPVb2lS3nqaaOzuHZmSUwW8+4P+GhE02AHcw30wRjJLWTp6up+RXZES/tcxYrXm/W9+zaHbG5OGJPF2DzFTcZs1JJfuwvLkudw7Kvky5ITqPnhLwiMHo3N5ePT7Y2cOi6ny/WOlKqwt2s0uUjJtX3WpIIu+wi2eSDXMlrRIaxDw4egaH7ggQc455xzmD17NqDUIPjoo48GvP+GhoYugXyFhYVs3bp1QPtUEZu1+qS6bWS6HawvPQEJaGv3kGHQkp2mZVyBKfRMT0a/XfltI5a5F6OeMJ7Zf/pfss6/ik0nninuhUHiaM3mI0gd4gpU/NnPfsZZZ53Fcccdx/79+/m///s/FgyDPJ2Ti8wsmVvOmRMLqCjO4oQxWWjVKv6zuxWHy0uz3Y3d5aMsL63P4Kb+iBSwp9eoQ8GRQSLd7L0FWZUXpvPEqmo27G5FowKdSmLj7lZ+u3JHr4EY4S+NYJBdeBBdX0Fr3c9bMJirqt7KtnordrdSbCQZQSCJDHiM9hiDBC3WxVlG6tqcoXN1xznlPHHZcREDUycXmUN/H5OTxpjcdCS/n9GbN3DOk/cz76Wn2J0ziufv+n98dcX3YcyY0PXITtNSVW/r9VijaX9dmzPkuhSkt0FILIF5/fWfeH5fkBps2bIlJKgBZs+enbJVFv0xWKklOcB1X/2Tl086H71Og6rDjqHXqjh2lBmVqtMVLBn9NrjP+qknsPrOXzP543c5692/Ut9i639jwYCJJUhZIEgGcVmqR44cyZw5cwA477zzEtqgZBO0YgbFyjHFZg5ZXbQ6vMgyyMhs2N1KYaaB62aOicu6EMka2J8bQbg10qhV4fX5qbf4QpbRlZUNNNvdZBg0+AMyh9s9tHv82N0+Xtqwj0cXHtujHd0tvt3zKTfZXFFbaoKfa1vbGZWdRoZB0+90abyuJ4m0jK+sbCAQCFBVb8Xq8pJp0DIiU9+r5WigrgxjdX5GfvgWx2/4F47sPLafdT7fTphGpsnQcT263nJTRmbwWU1rr/0iGmtarNaZaF10op0xOFqsQ6nmNz4QCgoK+P3vf88FF1wAwHvvvUdBQcGA91tYWMihQ4dCnxsaGigsHJigCZYb787otkM4dEZa0zqvwSm1lfjVGraWHkt2mg6nx4fDrcwSjs0zdblmyei34fu0FRaz6q7HOelPT3LNS/8L856FrKy49y3on1jjeo6ke1qQGsQlqk866ST++te/ct111yFJUv8bpCDdM1o0211s2NVKhkHDrPJ8bC4fa6qa4sprGqsbQXchFxRW4UJu+ad7cfv8qCWJQ1Y3IOPx+XG4vby75SBtDg+egIzV5cNs1DClyIxeLWFz+TpSw/XMp/xpTUu/rge9nTPoW4QPRJwmKuARlBLHtS3tGLRqMvQaXF4/2w/ZaPdGzigQ95RwbS289ho3vPMenxVO4sNr7sBVPjF0LS+vKGRlZUOPl7heo+GM8bmYjdqIxxqNsE2We060ouNoyPV8pPmNP/nkkzzzzDMsWrQIUJ7pTz755ID3e8wxx7B37172799PYWEh77///sD3G0FVT2rcwy/W/BG/pGLzyIm8dtxcAG754k1+d9pV+GSZVocHrz9AQAarS5ntC79W8fbbUaN6/3uPPPjo+PtVd3L3rjVK9cUnn4QJE+I4CYJoidZocKTd04LUIC5RvWvXLqqrq/nTn/7E1KlTmTx5MpMmTRpWVuvuYqWm0YFJr8brl0NT3RC/f11vN3Z/0+zQuzVyZ4ONQxYXINPuUUShSlJSRX1S00yuSY9Bq8bS7iFNq8bq8qGSJMhJi5hPOeh6ECzZDX1bamLxdR6ov2KisjdYnD4kScKgVYJQDVo1bl8Ai9MX0UoRkz+3LMOXX8Lf/gbffgsXX0z6ircY7dPxbWUD9RFEcqSXeF8P8WiEbSIHIUGq6i0021x80pH+cXJRBgatJqLoSMbvpxpHmt94VlYWDzzwQML3q9FoePDBB7n55pvx+/1ccsklTBigiIzkU72w8mP+ctIFrC09kYu2reWXq/+A3uflLyddSOWoSUgBGXdHdKNWBYGAzOMf7gAI5XyPt98GZ2kj0ds+R1x5Aqw8Fm6/He6/H846K+7zIUgMR9o9LUgN4hLVy5YtA8DlclFTU0N1dTVbtmwZVqK6u1ixurzoVFIoSBEGzy+0u5BrsrlCFRtBsX7Mqyikss7CriYHfr8fJImADLIsk65T4/QGcHp8FGYacHn9HLK6mVyUicfXez7l/lwPuhPLdGmqRGFnGjRY2724vH70GhVuXwBkUCF3sVLsabJzx2uH8Pj9ZBi0TB2ZGTpPPY4xmBLvb39TPl91FfzmN9BRoW4ykQdP8bzEo7WmJTKFXLgF57TxOWw7aOPzXa2c3i39Y1+/H21w6HAhVfpzotizZw9/+ctfqKurw+frjF948cUXB7zv2bNnd/HXHihatYTP12mq1vm8HHdoJ8tO+x5urZ7Xj5vL68fNVQa5koRBJeP2KQZulQRqFWSl60jXa3hhQ22PQkqDlpd93jwoKYElS2DnTvj+95VUfIIh4Ui7pwWpQVyi+vDhw3z44Yfo9XomTJjA/Pnzu+bsHAZ0Fys6tQq7y8fU4s6H4WD5hYaL1WCpbOhZ9nrhCSPZeqCNZrcPtUomw6BBlkGrUeHyBfB1WGb0GhVWlyKU6y2+XvMp9+d60J1YpkuHys+2u/W5IENPmlbNIZsShGoyaCjJSeOQzR2yUjTZXFQ32kGCNK0am8vHxt2tTC/N7mqdbW6Gv/8d3n4bpk5VXo7TpyuVhKIk0gu3v+wefQnxZPgEdrXgaCmYGDn9Y28kYlo11XwdjzS/8R//+Md873vf47LLLkOV4sJOr1XjDBP+x9fvYFdOMTZ9etcvdtyHHp/iLaKSlFW+AOSk6TBqVTRYXaGvx9rHgt9v+WYtRq2ahZdeGnufnDxZKWd+111QUwO/+AWkpcW2D0FCONLuaUFqEJeoXrRoETNnzuS1115j7NixfP3114wePZoPP/ww0e1LOL0FBFaMzOSgxYVO05mjOFa/0P4e0r39PVys1jQqbhpur592lcTGPS3o1CqWfbQTvVbDzLJcPtvVgj8gK5YYFXj8MkaNCk1HqLvbFyDToO3ygOhNEHcXOn1ZGGOxtA6Fn224mNOqYe2ORhpsLgxqFceOyqKkNCfUjkyDJhT5HyxPrteosLl9zByXQ2WdlS0HLJw7ZQTX5rgY9+xTsH49zJ0Lf/6zYnFKcJt7E6C9Wb6S5RPYX4Brf+IjKMo9Pj8b91ixu3xo1VKvAbWDdVwD4UjzG9doNFx11VVD3YyoSNNraHN2iuoZtd/wnzHH9L5Bhw92QFb+1aqV56LN7acwU+nXsfax8O/rJR9ezwD6ZG4uPPusMrt1ww3w1FNQXNz/doKEcqTd04LUIC4ThcPhYNGiReTm5vLyyy/z5JNPMm/evES3LeF0T0+m06hp9wa46fSxPLLwWO6eNzGqVGPR7Lt76rO+/h6e5qzB5kYjKZYWtUoiQ69BlmU+q2khEAhQmm/i5LHZSp5tWfH/NmnVGHUajDrFqury+jFqVfxndwvfHlREMtBvKrVo0reFp4+LlF4uKMqXf7qXNK0Kj88f1/mMh6CY8/r9bK5V2lxo0qPXqqlutFNVbw21Y+pIcyhtn93lC7mGZBq05JkMzBqfy/ltNdzx5lOMe/TnUFrKjj++yNITF7LkizaWrq5OSDrBaNPWxbNt8FoseWNLTO0NT2kYDHC1unxdZk762lddmxOX18em2jbcXj8mvRpkmU9rWqJqw0DOSbKIJRXhcOA73/kOr7zyCo2NjbS1tYWWVCQ3Paz+gSxzUl0VX46a2uc2+g4hLUmQplNTb3HhcPu4buYYIPY+Fv59CQmNSjWwPqnTwQMPwCWXKML6iy/i248gbo60e1qQGsRlqdZ3+I7qdDpcLhdz585l+fLl/PjHP05o4xJNf4EJA/Gv62/f/Vnvwn977Y5GzEZVKLguWEa93uJibJ6J8hGZZKfrqGm0U9vaTla6jnaPj4Aso1FJmAxaDlnclBeaKMlL72KFCbqCxHMM/RFNFpNkErSwfrHHil6jnD9ZlvEG4ORSJctJ+PEHrRQmvRLUCXB8no4J6z9k3Jr3ID0dfnobzJlDVXN7Qqyn3Wcrvj1oYXJRZpfvROvX15dP4ECsveEWnEgBrtB3nyjOMrJ2R2PoGgAgSWSnaaPqS6nq65gM/9uh4u233wZg+fLloXWSJCWkAEzCCcv8McraiFelpj4jr9evB2TlWPQdbze/LKOW4N7zJob8qWPtY0npk5IEl18OpaXws5/BjTfCFVfE5E4mGBhH0j0tSA3iEtU33ngjbW1tzJ8/n/vvv59p06b1Xro1hUjmy7q/fde1OdGo4Ov9FvQaFSa9GrfXH7LeBW/seRWFvL25Dr1GotHmwuVVSuxmp2locXhC+87PMGB3+bC6fJw0NqfL9JVRq0I3Qh2zOB7o+YlHlCfSdzboI2d1ecnoeKO6fQFMHa4e4ccR7sqSadQiNTVx2a7Pmb7lE+rGlvP+hTez4H/mwcisuI8t0rF2F7oHDjtJ06opzTeFvhetX19fPoEDaW/4uYkU4Npfnwj24SyjMsvi9gVw+wJMG2OOqi8lytcx1fyyU4mBliMfTA63dz73jjtYzdai8n6Fpz8QINOopchs5KSxyoA6PEAx1j6WVP/b6dPh+efhzjuhuhruvVexZAsEgmFHXKJ66tSpZGVlccMNN7BixQqqq6t55plnEt22hFOcZWRPk71L0NqIDH0XQTOQfff10I3Weje5yMzUogw27G5FksCoVZOuV+P0BNDIgVCmjtoWB5/tasGoU1FVb2V8QTp5JkX0bNzTwpzJXQsuRCOOB/riCBflzXYXNY0OLE4PKkkVUdAk2nc2aGHVqVW4vH4kScLtCzB1ZGbE45g8IpPJTfvg47dwfPIZX02ZyYu3Poxp3FgWhLW3qt7Cv7YdAhkyjFrG56eTn2HoYhWORrxFEroTC03sOGQnx6SP2a+vL5/A5Z/uTVip91j7xOQiM2eMz6XyoBWb20emQUtFcSZatZqCDG2v20VzXNGSin7ZqUZ1dTU1NTV4PJ2i9aKLLhq6BvVCW5ioPubQzr79qTsIBMDnl2lr97C/tZ0r5pZ3uU91aokGqxty0qLqY+F9Um8u6EjLmUD/2+JiRVg/9BBt/3Mjr162mF0Bw9E5GPT74fBhaGlRlubmzv8bjTBnDpT3P7ASCIaCuET14sWLQ9OHwYfw119/nag2JY3ywnTe2nSAdL2GDL0aq9NLfZuTuQkoYdqfEIjFepeTriMnXUeGQRPy9fUHfEwaoUy/b6u3sL/FSZpOzYhMPS6vn6/2tXFiSRY56XokOou+BIlGHJcXprPs4114/QFy03UUmQ2oVKqoXxxBUe71K+3Ra1To1SqQJJ5bv4c5k/OpbnCExGdzDBUdoyFoYX15w75QfuXjR5vRadRdX4AeD6xZA6+9BlYrXHEF6Q88wKz0dGZ122dQnOnUKuW6ef1sqm3jhDFZ6DRq9GopavEWaSZgTG467V5/1BlYejvej6pakZGZNjqry7UIntMmm4tvD1rx+mWWrq5OenXLa2aWhM5LrMI4EXmvRQ7avnnmmWfYuHEju3btYvbs2axfv54TTzwxJUW1y6dkqZbkAMcequG5GZf0u40fpb/mmvQUZiruit1d0wKy3KNybW99o0ufzBivfD/RYjctjaqf3M83Dz/FnMfuwnDrPezTjz0yBoOyDHZ7pzjuLpbDP1ssYDYrAZ3hy8iR0NqqZE7RapWg8XPPhbFjh/roBIIQMYnqDz74gG3btuFwONi1axelpaWhdEw///nPee+995LSyERR3eDghDFZHLK6sbq8IUthdYODBQPcd39CIBbrndsvM6Msm91N7aHS2lNGZuD1wx3nlLN0dTXFWWlsq7fi9voxaNW0e3ys3dGEUavBqFWxr8VBSW561IKmqt7CmqomygtMobLtVqePxWePi/phHhRgu5vs6DoChdx+mRPGmHG4fSz7aBenjMsNic9Palo4bXwOEF1Fx2iYXGTmkYXH8v7WOl7YUNu15LzWC3/8I7z1Fowfr+SJPe20PnPFBsVZRXFmx0BBQq+W+PaglbJ8E0atKmrx1ttMwJSO4M9YCFrdggOsoP+8zeULDWDWVDUB4PL6+HLPYWRgRln2oFS3jLTd9LFZrKxsYPmne/u1wMWaerA7qeqXnSqsWrWKd955h4suuojHHnuM5uZm7rrrrqFuVp+UtdbRZjB1KUveG8EijFNGZuDxyxEHWSW56T3iLPpiMPxvV25rwnL+91BNGM/Zf3iEry65gS3HnJq6g0GPp6c4jiSYW1oUIZybC3l5XcVySUnXddnZoFb3/ps//CFs2warVinFdLKzFXF97rmK8BYMP3w+pf6D260MqFwu2L+/c92YMVBYCO+/37musBDOPhtWrIDt2zvXP/IIfPYZvPCCsh+3WxmIlZXBpZd2rrvwQnjooYQfSkyi+sQTT8Tj8fDGG2/w2GOPsWfPHjIzM8nPz8dgMPS/gyGmrs3JmNx0xuZ1unsEZHlAL9pYXvTRWu+C4uuUstzQOovTGxLfQcEwPj+dTbVttHt8HSV5ZUx6DWX56djd/o7MG/1bYaBn2fbgb8Yy4AgKqTv/vqXDVUITKqJS09iMLyB3eallp2nZdtBGwcToKjpGS3CAMKUokxmlORh3VKF9+C84GraT/t358Ic/KDdY2Pd7u4bBc62StJxYktXFpeWWWaUs/3Qvuaaut1Fv4i1RKZzCXRss7V6QoLrRjsmgCfk9Vzc4QqJ2454WTAYNFcWZIRchSFx1y97OX/h2/bljRJOOMhZ3DpGDtm/0ej0qlQqNRoPdbic3N5f6+vqhblZEVJIikXPbLXw+9viotpGBFruH97YcojQ3jbZ2T9wBwd155ZVXALj66qtj3rY/gs+b/dNmYi0Yyew/Poa5bi8fzr404b/VK4EAtLX1L5abmxVxEi6Qg+K4vLzrupwcSJRGkCSlTsDUqfCTn8DXX8O//gXXXae40Zx7LpxzDuTnJ+b3jiYCgVARJQ4eBKdTEaEZGcqMwIYN0NCgrAe48kpl3ccfK+ucTvjRj5S/3Xdf5/aXX65kuTn3XNi7V1k/fjz8+9/wgx8oxi69Xukj33yjFEe69VZlnV6v7GvhQuV7Wq2y7qSTFFHd0qK4C+n1SnIBWVb63cknd25fXKwcw4MPdq4rHLiHQiRiEtWFhYVcdNFFjB49mhNPPBFQCsHU1dVRFiZSUpVIL9raFgf1VjdL3tgSs/9arC/6aK1+/Ymv4HHkZxg4YUwWa6ubFEFt0HDS2GzyTIbQcUZrhUmUZW9ykZlzp4zocZ5bHJ6uqbGAyUUZfL6rlb3NduotLlocHrRqFYvPGhfTb4ZTVW/hoXe34Wxu5czaLZy1YwOZbgdbZp7LX//ndn540Qk9vt/XNQzvM3kmQ5dz2/3vQXoTb4lwa4CuAyBl1kOD2xegpsnRxdc7KGo7BwadPoiJstpGew/05Y4B9LuPWN05RA7avqmoqMBqtXLZZZexcOFC0tLSmDZt2lA3KyJqlQR+mS9GV/DF6Iqot5NlGY2kBCsPJCC4O16vN+ZtoiX8eWIpLmHV3b9l+p+e4I51N8EfszoFQXAxGKJfF76+vb13wdzWBpmZPcXyiBGKkA1fn5ExtL7NKhWccIKy3HUXfPmlYsH+858Vw8ns2coyZszQtTGRuFxgs4HDoVzDceOU///nP8pnhwNOPBEqKhSLrdWqrCsthZ/+FB59VHF9bG9Xli+/VCy9t96qCF2vF954A846C2bMUHzYDQYl9eMvfqEUP9u9W1mfm6uIaqdT+Q2jEbKyFNFrNMJ3v9u5fXmHDnn6aeWaGY1g6rgXn3kGfv/7rsdZXAw7dvQ8/kjeEDfd1HPd5MnK0p3vfCeWsx0XMYnq6667jgceeCAkqD/66CN27NjBaaedRtowqArV/UVb2+JgU20b00ZnxRXMFI/fZrRTiGlaFV/s6fSTDW9T+HHkmvSkaTVk6DsFdfD4YhFNibTsRRI0WrWKEZldRbtBq2FqUQY7DtnxBWRy03WMyDSwpqqJsnxTzGKzqt7CW39fx/wPVjB9z2aqxk7l5WPnYpx9OtkZRuotrh7bvLRhH7ub7KFByfj89FD+2e6FeXrzlY9FvCViCjl8AJRp0IZKsNs70gJ2v27JtNpGew/0NWiLZh+xDvoSNYA5Unn44YcBuPLKKznjjDOw2+1MmjRpaBvVG3Igrs38ARlfIMD+w+1kGjSs2+lkxyEbkgr0GjV5Jj1XzI3N7SrZdH+eNKqN/O1/7uHWGSMZmWNQLMPB6evwpbd1QT/m8O+4XEoVx6AwHjOmq1DOzgZNXOFWQ4taDaecoiweD/z3v7B2LdxyiyLgZs2CM89UBOdgVBG12xX/cLtdEbDTpikW2C+/VISx3a64IxiN8POfK+tsNliwAG67Dc47T3FzcTgUkbllC/zyl/CnPykW2bQ0+OADZRC0bFnnuqIi5RhlWbmWo0Z1zsyed54iloPf1WgUN4i5czsHXcFBUl1dz2NaurTnurPOUpbuRCouFUnopnhF11iJ6c45dOgQEyZMAGDTpk3cddddLFiwgPvvv5+f/OQnnHPOOUlpZKLo/qKtt7qZNjorZL3oTRD0NjWdDL/NcMvf2ZMLQiKtr+PIMekoytR3mdqPVTQl0rIXSdAsPmsca6qaQtlLgvvPSddRaDZ2EXwWpzc2H0K7Hdaswf/sy1zReIjVFbN45OxH8ZuzcHn9GJqdTNZqe5yPqnoLn9a0kG3UhFIcbqpt4/jRZuxuX6/H0t1XfrDFW7hIHl+Qzlf72joK1yjFf7pft2Rabb89aMHq9GJ3+0ODklyTvsc90Jewj+Y+imdgIHLQ9s51113HCy+8AMCoUaN6rEslvPFpalQqCW9AKVfu9Pjx+GUabG6y07X4AzJV9W5++Mom9Fo100Znce3MkiHvL709TyaJfhwbOh2ceqqy3Huv4nO7bp1iqW1thdNPVyzYM2Z0dUsJBBTLa3o67NunLBaLslx6qWKl/etfO9d9//twxhmKkA8K5Tlz4KWX4JprYONGxZqfk6NYk6urFWuryaSs93gU4TttmvLZZIKJE5W2PPOMMlAICmBQ2v/ooz2PN1I16wce6Lku0myUWp041xxBbKLaZOqcOluxYgVXXnkld911Fy0tLdx+++0pL6qh40Xrt8EfXuDNRgnGjsXmGoW1YCR+vaHLy7yq3tIlk8Tkoowu1uxk5NOtbW2nKFPfr+UvXDC8v7WOZR/vovKgNa6sHcH9JVIcRhI0ZfmmHvtf/ulecqL0Se6CLCsj/vfeg08+gZNPZv3M+bhOnkGz009rbRt6rx+dWqLZ7o4oIldWNpCdppxfSZJCqQ6r6m2cObGgz2Pp71iTSbhIzknXK2n5Guxkdlh7u1+3ZAn/qnoLBw4r1ynToAkNSsoLTD3SVPYl7FdWNvR7Hwl3jsTgdrtxOp0cPnwYi8WCLCuVVex2Ow0NQ1exsm+CYYfRfxvA65dRSTKZBg0uXwC1Ckpy0/AHZBxuHzaXD59fRYZew8bdrdRbXFx6YnGXDEVDkc5ODAYHiMuliMSDBxUR29qqLJdcAuefrxTaWbUKli9XLLPf/S68+abi/uJyKb66GzbAiy8q38vKUoLnvvtdRYDm5iqWX7NZcb/QahXrcUaGspg7rt2KFT3btmCBsnTnttt6rhsXvxukYOiISVSXlJSwcuVKpk+fzkcffcSyZcsAyM3N7ZLrNOUpKIBZs1C/9Qn+tWspbalnhKUROTsby4jRuIpHc8CyhQ+aNOxTmckyZgBK4ZYTxmSF3AOSkU/369o2LO0eTAZNVK4cicjaEWQgD/NoAjYj7T/mgUl7O/zzn/D666DVcuDMubz74wvZ7dNS29rOiMNuSvNNnDAmi5omB612D7kmfa8p7qaMzAiVNNdrlLR5bU4f8xKQZrEvBlKYpLtIHptn4rYz+77eyXhRr6xsCAl6ty8QSv9Y3WDn9u90fSH0J+z7u4+EO0dieO2113jhhRdobGxk4cKFIVFtMpm45pprhrh1kVHF4LKrV0t4/J0CXKOScHj8eP1KVcUmm5t2jw+9RoVRpyIgg0GnAUmi7rCTZR/v4pSy3D7dAcvLU8tl5IjF71fEcFMTNDYqfrk5OfD//l+nUD7uOFi8GK69VgmWa21V/MEbGpTgxeefV0RwTo7iopCZqQSwnXOOIn5Hj1b2XVCgbNvSAvX1SlaoggI45hjFnaK4GD7/XPn3hhsUH/Nwt4UOl1iBICZRfd9993H33Xfz05/+lFNPPZUTTlCCvrxeLw6HIykNTAo6HVXHnsJ79TnsmeDApFejCgTQNzVynP8w1xXD3k838Z26Ws7etxeNBM25RRzMGsHhgpHkHjORmrQ8Jp81LuH5dHNMOqxOLzWNjpCo7ktkJiJrR7wEheG3BxWL5cRCE2Ny02PyTY9qYNLerlgOPvpI+XfGDPjZz6gaUcZzn+zFrNZSlK7B61MspQAleemh/NS3zCoFYOnq6lDhBwnFdUGnVlGWl0aLQ6nEqFOrOGN8blLFWiIKk6SCNSuYTcdk0FDT6OioAOpHQgoFIPY2uxJOtII5FY55uHPddddx3XXX8dJLL3HttdcOdXOipH8rtQQYtCokQArIaFUQkCUCKL7VEqDTKoM+pzeALMsYtGp0GkUY6TUq6tqcUcUHnHrqqQk+vqOMmho4dEgRy2o1XHCBkv7sgw86BfQnnygi+dZbFXGbn69kbpg1S8n0kJsLEyYogZMAv/oVPP64Ip6NHe/K669Xlu788Ic91517btfPHo/Sxvp6xbe4vl5J03bwoLLYbErg5siRyhIU3sF/s7NFcZqjlJhEdX5+Ps8//zyBQCCUnxpg48aNnHLKKQlvXDJZWdnA6Jw0Rpj11DQ6sLq8yCOKcIycSPHCY1n6xhaKzAa+2NOK2tLGKGsj+c0HMTccZOzalUxvqYeXfsnk4mIml5Yq6WbSx8JhH2RqFD+oKOjuTzo+P51N+9potrtpsDqpqrdxuN3LGeNzeX9rHdUNDsWP1eXDbNRQd9jFcaMzSWSu52gIF4bWDp/vHQ12vP4AzQ4vrXYPd7+xlWNGmfH45T6t1xEFlVGGd95R/OC++kqxGJx1FixZojw4gZWrq7u8BIOpEuutbnRadWhf0JldQqOCjbtbkVGK3exscLD9kJ0ZZdnoNYpP8jUzS5J2zlZWNrB6WwNatcTUkZmoJG2vL+9UJzjLEBz8WZxe9Bo1agnW7mjk7c11nDE+l2ui8FUVgnlw2Lp1K0VFRSFBvWLFClatWkVxcTGLFi0iKytraBsYATlKz4/yAhN7W9vRqiXaPX5UKnD7ZFQo+kYjSfgDMuk6Ne1eHypJRXGGkpHI7Qvg98s9MhS5fT5Wb2sdVHeQgcxiDRl2u+J/HBSdc+cqwvTOO5XP9fVw441KQN6NNypW6Px8OP54RVSXlsJFFykCuqBAcaO45BJl6c5vftNzXaILwOh0SgBnb1lD3G7lmILHe/CgMggI/t/p7BTbQeEdvpjNQnQPIcm8xyRZ7vuRNXnyZKqqqgA4ePBgVDvNzMzs4n+dLA4cOMDZZ5/NRx99FAq2iZYlHaI5PM1YQJapt7h44rLjWLq6ukd1wGD+xrJ8k2JVzDFAba2SdzF82bdPEdUlJcr0UklJ5w06apRyw3YQ/J1w94c9TXZ2NTtocbgJBGTSdGpkGZrtbkx6Db4AZOjV6Dt8gL1+mZnjcsgzGWi2u6iss+LxBzh3yog+O8tAOlZ4u1dva8CkV3O43UOrw8uobCM+v599LU4KMw1ML83GoNWErMYRf0OWlXP32Wfw6adQVQUzZyrR2qeeqkzbxXgNI7V1w+4W3F4/AAatmnH56aFKg+dMKUzaCyx8EPKf3c3o1aqOwjhZ5GcYIrZ7MOirD8SSO3pbx0DP5fGBJGE2apFlGSn8fkl1YXAUcPHFF/P888+TlZXFl19+yR133MHPf/5zqqqq2L17N7/73e+S3oZYn9vj7/8AX6B/ZW3UqkLi2ekNoNNIODxKlKNWJTEmx0iaXoPN6aXJ4SHLqCU3XYcE2N1+/IEAx43OCg3Om+0uNuxqJcOgYVZ5fmgWbYLlv6TpNFwfyQo6QMLvqfCZuyG9fywW5T0XCCjuFs8+qxg79u9XXCa+/VbxKV66tFM0PvCAIihXruwqLI2xxRsNW9rbe4ru8MXv72rd7i66MzKG+giOWJJ9j8Vkqb7nnnt6/ZskSaGX6MKFC1Oy3G04/fnyBt0SzEYt08aY2XbQxmGnj9PH53aNEp8wQVnCCQSUoId9+ziwdTtb/r0Vz55/UnC4gVFuCzljisiYUAYlJVxuyuUfzWr8o0ZDURFWr4xaraIkx4jT4yfDoMEXCFDT6CAQCGCVfaTrNNjcfrQaFXqNGp/fT2WdlSkjZTbuPowETC/tu3LeQF0Qwi3spo4gNYfbT6BjWnWvxUW6XoPJoGF3czszOwrZdLHGtrQoaYK+/lpJf9TWpkRSX3WV4vfWT0RytP7Y4W21u3yY9MpgxOpScn3PKtdTb3HFXNUwFsLddMxGXUcaPCmUW3ooCpP01Qeg/9zR4bMMDTY3hRl6NCoJtUoJ+pRlGZvb1yVF4UDaOuysdymI3+8PWaM/+OADrrjiCubOncvcuXO58MILh7ZxvSBFGaTo9AbQq6HdDyogTadFxofXL1Oam05Wuo6ZZblYnF48Pj8SsHm/BRmZGWU5nDY+t0uGoso6KxJ0zChJoedM60EvabrkpJyLJ01rQmhtVdzrdu1SBPT55yvW5sJCxepaUqJYlI87TnF7WLBAMRgVFyvb33KLsnTn8suT1+ZUJi1NCTTsLdjQZuspur/6qvP/KlVkC3dwGQYpjFOVZN9jMT0ZXnrppQH/YCpQVW+hyeZS0qmlKSXAg1P/QXeBrm4JPs6cWEB5YTrVDY7+yyyrVFBQQJVfz28rZWqnjsZ0ghoZaHd6OF7tZNEEHWMdLRTX1nLt7hraPtiF6nAL3oIR5Ewex5tNakbnFmLLL2KL2oxKNqJWS7h9AUx6cHp8HDjsI12v4cQxWdQedrJlv5UMQ2cVwyDhnaUvF4RWu5uH3t3GmJy0foVLl7RuHZUdHR4faVo1Lq8fp9fP6BxjZ/5kWabQ2YZ/y07Y9qHiM9faqrh1HHec4tZx/PEx5ayMNlA0vK3BAQAoOZ5h4BlbohF54cI+mAZPp5awdaTAG4pMFv0VZInmwRPutmFxevliTytpHX6qSpo/bULTTMbrgy5QCAQC+Hw+NBoNGzZs4Fe/+lXob36/fwhb1js6jQqvJ7q8esH0ewGgrd1Dmk6DVqX4W4ffa731nfAMRR5/gOml2V2epRkGDW2+2M5TLM+KZKRpBRQjz4EDyjP2X/9SUr7V1CjL6tVKBotXX1WyWkyZooholUr5e2ZmV1eFFDeYDQuCmUIiBb3KslK0JVxw19Yq8URBIa7XdxXZ3a3eIkVeryTtHutgGGZ4HxjhL+gpRSY211qoabRTmpfOyaVZPPTuNhqsLgozDVw3c0zIehnPi31lZQOtDiWTRzBdmyRJ7ETP28YC7rhACY7I6VjweJQH37592P68mjH1exmx/QsuOFSHzuOiPiOPg6ZcmjLzaM7MpT4jj/a8QvZq4MTyQjx+uc/KeeHHEJADIKvYVNvGCWOyAKhusOMNBJhRmtOvlbvZ5uqSarC8wESTzY1GrVgpyzK1jD24i7F1NYw7tJtjX9yPLxDANroUvjtbSWI/aRJVDTblhbPLSXFLzYCyYERTobIsL40v9xxGBqaMzIhL0EbbF7qnSvT6/IzNM5FnMnBiSRaVdVaQ5Ihp8AaD/h4usTx4gudYq5aUQYukDAArijMHbIUfMuvdEciCBQu45ppryM7OxmAwcNJJJwGwb9++QXHZi4fCTAO7m9uj+m5A7sgWIivPWoDTxudS1+bC5fOxrd6K2aiJGEgb/BxcF3QbC8fm8qHXqKNue6zvjQGlaZVlRXR1uGty9tlKZozXX1feLcceq7htmM3K3269VSkVXVioiOa33uq5T7O4vwYdSVLOu9kcuViKLCvBmuGiu6YG1q9X/n/okJLvurt1Oyi8R4zo4oJ6tJHMYmgQhaiWZZlXXnmFsrIyTj75ZNTq6B8oqUjwBe31+9nb4mSE2QCyTJvTy2tfHqAww0CBSUejxcl9b1Xy0n9qmVGaS5PNFfOLva7NiccXIMPQeZr1GhVWlzeyONHpFEtBWRkth3P5YHcrJoOGRpsL2e4gq6meAnsLI+yHGdV6kJP+f3vnHh5Vfe77z5r7JJOZXJmEWyAgEARF3BYpCJa7IHilW1u1Wj3YdnvFWi896rE9XlpRq+yePli3xwv2dGutRWELW4KKWlRUFIFAuCdAMpDbTGYy91nnj5UZJslMZpJMMhny+zwPD8lkzVq/35q11nzXu973+x79jlHeZiyOJjSFBfisJdTnFhIoHoqzYAjOQisnTIXoDNk8+34V/72nDp1axaRh5k4pCABIUGjSt3vUGasRTvhLYsbYfPacaOGfBxuZXZrDg1YnxzZ/SllNFaNPHuW4uYjDw8dhmz6bN8eUc1xvZsXsMoiKmveHC0a0+HZ6A0wry0cCvEGZITndF7TJiLyOc/P5TzuTjCzIRqtWpz3XONHFpTsXnvA+fm3b0cgToPNGWtCq1b2Owvd1ZGEw8fOf/5zp06dz6tQpZsyYERGeoVCIhx56KM2ji41WnXxBl1pSlvcF5baHXjJDzEa8AZn8bB2lBdnktDVJWrWpCqtZH7eQOt6TsLOytbE3HoPu3hAmbdPa2grffQc7dijd82bMUIRTMKhEmpcuVYTzv/0bPPigIqTCwZZp05R/gsxEkpRi/fx85bPvSCh02how7Fyye7fSnvz4ccVdJTe3s2NJOMpdXJyZHTWTpK97HiTcc3v37gWUSMZbb72F3+9n6NChzJgxA10G3u0cb3ajUcHH++tp9QXJ0qnJNWo52eJFr1HjDSqWSy3eICpJ4miDiwnFZj450MD3x+S3ExmJvtiH5RrZb2vBGwhFItWKn686pjiJjmzq1RJ52Vr8QSVHuUlnpHFkGbWBUeyQIRCSyc/SMjw/mzH5egyNDVw/UsMXFd9Q3NLA0BNfYrDVcr6tFk3AT6BwCGNV2TjM+dQacxlvzuOQ2oTTko+joIiAPgu1SklN6Gp+m749zghnPdaGFsy24yw+cZTsI4fIP36YU0XDkEsn8MWMS1iTPwqX1sCE4hyyDUo3wxVt3s9ha7tkG92kglS6SyQj8jp+mYbtDmsdXrQaddyoen+S6OLS3QtPeYmFx688p91x3JOblo70dWRhsDFlypROr40ePbr/B5IkB23J27UGZdBJYDFoaPUH8QRk/IEgVrMenUYdOYb8wSCH613UO73MGleUsGYg+kmY85i/qyG0o7s3hLG2ee0EM+Mrv4LXv1bcMDwexRd5wgSlQ155uSK0KisVsRTNQG09L+g7VCrFWaWoSHk60ZFQSBHWYVeW48eVuqYNG5TfT51SLAtjCe6hQxV3lgwOrvZ1z4Okb0dKS0spLVWsxmw2G++++y4ej4eCggIuuugispO0kEs3OrXE54caafUFMWhUBIIhjts9+IMhco0afIEQTa0+NColquzyBbEYteRlaamsbcFqPv1FnuiLfdEkKzuPNVPd0AqyjIxSZT66MLtTc5GOkc0WTwCLUReJpIS9lXfU2CO50OFcP7vbT05ZKaPnj+P7U6aycZeND9oOlvoWD1kBLyVuO4d2H0J70oa2/iQjjlZxoc+OobGB/JZGVAYDgcIiJOsQvCYzHpOFZn02k3Qa2L9BSUs5dozL9x4lmJ+POzcfh3UY9pKRVE/+Hn/z5nLu+KFYjFrygbmcjnTGS6HpbqObVNHbordkRF6sL9PSwmx0WnW/O3zEI9HFpacXnlTb44luioObQDeX9/pldGowajUMydHT6g/h9PqZUHzaQejASaU/gdJ1Mf6TuZjHcskFSY+l2zeEoRDl9lrKj3+mtLl++224/EZFPJ9/PgQCShvr5ubOj/AHoB2iYACiUinR6OLi2H8PBBTRHY5yHz+udC8Op5o0NSmCvWN6yahRyr8MKKLsSwvXHsX4rVYrV7X5RzY2NrJ582acTic5OTlcdNFF5OXlpXSQqSTc8FanVhGUZSQkkGW0ahVuv0yWXo03EEKnlvAGZLL1yi6aODSHTw80RirDk43c/WrReF7bdpQdNc1ISEwvy4/p2xvzMWF+VjtRCqeFqU6jJiTLncbR8WD55Zvfkp9rxp5nIZQzhHd225DGKAJ/eF4W3kCIcUXZFIXcqOvrKfa2kOdzQmMTcnMzU0bnKnl3F18Mw4ezbncLTX7afUnY3X48hxvapblA4uhtrEY31Q0uah1efvnmt+0Eb6rcH1KRcpKMyMuU6GpXF5eB4h0tuikKkiGcJCID/lCIITkG/mVUHjqNmuPN7rZAhXI+Ojx+dCoJU9Q1K9kber9fiVRrtafP7XjXp4TXilAIDh9WXCKefx7+1/9ScmkvvFBJ4bj0UkXEdBTQGfiUWJAhaDSnhXIsYjXG+eQTWLtWKag0m08L7Oh/RUWDwpu714kz+fn5jB8/nk2bNrFu3Tq+/vprHnrooQGbe+0Nykwry2PXMQdHG1sxatUMzdUr7b09fvLUWpBlWn0hQrJMeYmJzw41UO/0YjFo8AWC1NoDSX+xhx+JJyLZx4TdFRjR4q4ox4DZoMHlCxCSQa9Vc/ZQMzIy22pkhuYP45u2pjITpytfCNYO612gtcf8kjhvRG67Ly1IHL2NbnQTkmWqG1x8Xd3MeSNy2wneeeVFbK48Fdf6rTtiOxVFb8l8BoM5utoX9ncDReALBiYaFRTn6DnZ4iOETDBEJCCSY9BgbsujDv+uUyuuRGcPO31MJXvT+/rrrwNEfKoT3ajHvFZ88t/wxhvwwQfK4/UdOxRXjeXLlUftAsFApavGOKGQIrjDPTsOHFByuY8cUdKWOgrt0aOV3h1RN6iZTo9F9ZEjR3jzzTfZuXMn48ePZ8GCBdx+++3tOi0ORPRqiV0nHARkmdL8LGTA7Q8ysiCbuRMKqdhbT3WDC7VKYmxhFqdafEiShFalYnRhNm5/qE+Ky7qKbMYSKcl6KncUd2ajFkmS2jWL+exgEzkGDeUl5oj4iyeEOn5J6NUSRq2Kky3edq3Kk4neFuUYGGc1Udfipdbuodbh5bwRuZH84/Byr2yrZmKJuZMQfm3bUdz+ULeizmFhX+/0RDpp5ug1WLK6d1InEnnpiq6m289Z2N8J0kFBto4svRacPrSShFotcaLZTZ3dw6ShOUwZmc+iSdbIuTFpqJkTdk/cJ37dIdGNenlRNuX6Oti+XonqvfaaEu1btkxpmBJugBOve59AkClE+2t///vt/+ZwtG+St3698n9dnZKKEhbZ0aI7A5vg9FhUh0IhLBZLRnlXV9baOWH3RBqAyICrLcf5yqlDqbK5GJmfxfSyAsZZs3llWzXBUJB8k+LFXJSjiIS+KKSLF9m8YFRur0RKR3F39lAzNocXrVr5MolucNDo8nLgpFK888g7e3h02cQut2F3+6hpcDPOaqIoR8fRBhcf7DtFocnO9LKCTmOMNUe1WhXZTrhDYjQ5Bg02h4dpo/M7vb65soFpowu6FXUelmvkSL2TfTYneo2KHL0GhyeAwx2gstYe1xKvJwK1v6OrA0HQRrvrfHHYoTxmV6tYu+0ojyXxxEYg6Am2Fl/El9rlDaLTSBg0Ktz+EDuq7fzwghGdzseO53dPb3pjPWW0qEN49+yF+ePgkksUT/5LL4U771QW+PGPk1p3um+SBYKUYTYrhZMdiyfDVsJhsf3FF8pTnCNHlPzsjpHtUaOUYskBGsDtsaguKyvjpptuSuVY+pyNu2yUFmRTYjFw4JQLpyfQ9ihQ6pReoPyuYdro/Li+z6kkXmQzVekK8b5Mwg0OJIlIO/b8LC2NTl9c7+WwcLO3+kGC747bkWUZS5aO0QVqkCRa/Z2bNSSK3saL1lvNhpipJRJSwjzujiyaZOXu/6wDlEJUb0AZ5zirqUtLvEyIuA4EP+fjzW60athRbY/ctHj8QT4+0NDppkVwZvHee+/x7//+7xw8eJA333yTyZMn9+v2vUHAH6TQpEWlUs7tLJ0atQqqbC6WdFg+VTe90det4d98xoQt7zLm0/c5+r3ZcOcyePfdHjXjyMRrkEDQbaKshNshy4oTyeHDpwX31q3K706n0qAoOrI9erTS5TPN9Qa9yqnWZlgeTDiioJK0EeeMkCyzudIWM+LZsbgFThfS/Y9Xt2N3BzAbNJw91NJneaP/8cmRlHv0xmpwUFnrQK9RYWjriJhv0sVsLx0t3E62ePAFZBpdPtQqMBm0ZOnUOL3BuK2pu/oiixet/8n0kWyuPNXp9fNGWBLmccea+/A8Iw63H6c3iKmtA2WBSd9lUWUmNBwZCH7Ow3KNfLjvZORYAqUJR15W71uVCwY248aNY/Xq1TzyyCMpXa9e3SaYkyAYlEGSGJ6nOBAoXvyqPj0HLs318UHFB5z4/hwu+mwLJ0pG8fcn/soPr5yuLNDD7nZ9cQ0SkW9BxiBJSkR6yJDOvupOJxw9qgjtw4dh40bl5xMnlOVjpZL0UyOjM9fhOwbxIqHxIp4di1vChXRjCrOobmhFkiQcrX6ytGpe2NqaVAShuxe1vnaRCAvZeqeX/CwtHn8QbyDE2UPNMQVZWLidavHQ4gm2VdzLBEJQa/eQn60lL1vfIzHXVSQ7un1w+HVo76Vc3eBin83J8Dwjz75fFXffnj3U0mmf2t3+hJZ4A73hyEBwHFk0ycrbO46TZ9QgyzLeQAhvIMSUEZYBb5Uo6B1jxozpk/Wq1SoIJtemPCCDwx1od+yNKsiKW5vSk+Mj4vO9aRM8/zxnffYZedfdxGtGLX+95m6G5Rr5YQqOvVRfgzI58i3ObUE7TCY4+2zlXzSBQPtUkh07lE6hR44oEeyOqSTnnKOsK4UMKlEdFpBNLqUwrsHlQ6tWUVaYFTPiGY5Ah0/mcCGdrcWLQauORHXrWrxMLDHH7D4YfSEYZ82O62LRnejt0QYXQy2GTrZzPaG8xMK88iI+P9zA3jovOUYN5w6zRPLHdWop0qxlWK4RvVqixRPgwCkXhSYd9U6lkFMlKZZWjS4/F4zK77GYixfJjvd6WITvqbVH8rtLC7O73LdnkiVeNAPBcaS8xMLMsQXsPuFo9yQguvFGX5DJgkHQNa2+5AR1mJAs0+DyUZCtY1RBFiqVinHW7NQcH14vU5qbFYvR3/0OfvhDePNNCrOyuDuJt3dHHKb6GpSJT99AnNuCbqDRnBbN0ciy0mUyLLYPH4Z//lNJL7nsstQOIaVrG+CEBeTqioMEQjIF2TqKzQZavAFqGlshP6uTGIkWc+FCuv2nnOS02TXpNapIbvbxZnfkorn7hL2dG4bd7Wf1loOMG2JK+qIWXldLW1tzi1FDUVsbca1GTb5J0+sLTGWtnc2Vp7igNI+9dS1IksTh+la0ahUt3gAqSUKnUUcuZifsHlSSRKPTR16Wsg9sjlBbEwXINmjQaXrfmjpZwp/Ps+9XMSw3K6l9e6Za4g0UP+frp5dGvgT7a99lqmDING688Ubq6+s7vX7XXXcxb968NIyoPRKQpVNTYNJjMWoYVWiKBEZ6dXy43fCnP8GqVQSnTMF7/vlk3Xdft8bWXXGY6mtQJj59A3FuC1KAJEFhofLvX/6lTzc1qEQ1KAUrF44p6PTo3xdQ8oC7EiPhyIHZoKRJGLRKoxhT2wVPp5YiF01HW9rIPpsz0jHQHwxR5/BELOMg/kUt+gIcbXUnASPykxOPyRB9wTIZNBH3j7oWL2cVZaONijBajFpKC7LxBYK0eAM0OL0UmvT8yyil2c+u4w58QcXiLpViLpnozu4T9nZ50mOLsjvlSUczUC3xektPiq9S/Wg1HfsuUwVDpvHyyy/3+zbVktJ+PBkMGhhTZGJiibmdNWi82pTdJ+ztnsR1OvZDIcVl4Jln4Msv4b33eG3HDnjrrYhPdbJ0Vxym+jzKxKdvIM5tQWaRVlG9detWHnvsMUKhEMuXL2fFihXt/v73v/+d3//+91itSkvv6667juXLl/dqm/FO0Fp7IKH3czhyUGzWs7euRXGOkKE0Pwu720+WVhW5aDq9QcwGDd5AKNIxsCBbR6PL326d8S5q8S7AXxxuZG75kE7jT3SBiSecYu0PrVrC6Qlw0ult19o3el89umxip2hkWZEp5Y/kkonuVNYqTwUAZZ/7g3xd3cy4IaZ2NzDdZTA0HOmrR6v9ve8yVTAIEjN5uJlvahxJLStJKsZGPQ0MC9ZYx8fRehfHmtwMz8uKfexv2qRY4L39NjzwwGkLrx07ejSPnojDVJ5Hmfj0DcS5Lcgs0mb0FwwG+c1vfsOLL77Ihg0bWL9+PQcOHOi03OLFi1m3bh3r1q3rtaAG5QRt8QQAONXiYduhBt77ro7qxlYqa+1dvjccORhVaGJkQRZmo5bh+UZGt4lJb1COFDya2gS1XqPC4VGEdInFgEYlYXf7Cckydrc/Ek3pyPFmd8ziSRk5Mv4wLZ4A+rbc51+++S3Pvl/Vbi5h4WR3+9t9eVTW2iP7Y7/NwcZdNqpsLTS6fASCIWoa3FQ3uDpta1iuMbIvLEYttXYPFqO2T3Lcom8uVJIU+XnjLlu7ZcZbFfEc3ucAVTZnzH0rOE0y+zcTWDTJGjmfEp1bgr7h/fffZ9asWezYsYNbb72Vm2++OSXrvWRScdLLeqOsPKMFa6zjo8rmZLzV1OnY//DTSrjqKvjFL2DVKigvT4knbvR3T5j+FIf9dc1ONeLcFmQSaYtU79y5k9LSUkaMGAHAkiVLqKioYOzYsX263fDdeqPTS5XNCRKoVVBi1icVoYuOHERHfzfusqFrK+KzGJVmMV9XN+MNhCIuIiqVitvnjqHK5lLSFdpagocFTPR2492dnzcit50jSYtHyQcPyTLaqNzn6Ll09dhx0SQrqzZV8dXRJlSSEqX2BWV8gSClBVnsszkjbh4dIxupiqJ0lX7QMbpzqsXDgZNObC1eQPk8jze7GVmQHUlfcXj8mA1Kl8SB/oXRVySb0pHM/s2EfZip6TpnEvPnz2f+/PkpX2/F3noMGvAGIGEWiAQHTrkoyjG0E6yxjo8RBUZGFmSffq8sM8TjoNonKd3gXn+9x3Z4sRgIkeJMfPomzm1BJpE2UW2z2SguPh2BsFqt7Ny5s9Ny//3f/8327dsZPXo0DzzwACUlJb3abvgEfeSdPfhDIQpNesYOyabQ1L1uibEem9scXkKyTGmBks87boiJKpsTS5a2XZ5xWa2d6sZWhucphZGxHrnHuwCvmDUaoN0FxmfWt3NX6Pjos6vHjuUlFqxmPaBUzbt9IVQqCbc/RL3Tx/A8Y8Jc896QKP0g+ubiVIuHr6ubAbDm6CPLZmlVtHgCFJoMFJqUeXa8IRlMdCelI5n9m2w0K922V5koGASJsTk85GXp8QZC2N3+LvOrQ7JyYxiOZkYL1o7HR9ij32LUktV4ivnP/k9c+iw2/89n4bp7Uj4PIQ57jji3BZnCgC5U/MEPfsCll16KTqfjr3/9K/fddx+vvvpqr9dbXmJhZH5Wu26J+20OdtQ04/AE2HaogZ9MH8mSc4bFXUfM6G9+Fv6ogsfRRSZ+/oMxnS4GyRSsJLoAR6/zl29+S4EpfmfBsHDyB4McOOniZIsHlzdAtl7Ds+9XcbLFy7BcA8ftHrJ0KtQqiUBIprqxlXNH5CbMNe8NHfeFLxDk0Ckn97yxk/kTrREbQoADJ52R951lNbV7T8fofSbkCnaH7gjW7hRERd+8xdu/ydxoCtsrQV9hNSu++L6gjEGrxhcIEqNhKxLKk7YGpw9fIJjw2Asf+yMqv+aHT/2Sr+dewbvLbubmBGkF/9IL9wAhDgWCM5u0iWqr1UpdXV3kd5vNFilIDJOXlxf5efny5Tz11FO93m5lrZ21247y4b6TBNts9byBILV2L2oV5Og1ONx+nnxvH0BcYd2bgsdkC1aSvQAnKuQIp3gcrnehlqDJpeSmGbUyR+qdHGty4/aFn61KgEQwJKNWqZBibvE0lbV2Xtt2lB01zUhInDfCwnXTS7v0646X3hGOlOrVEiE5FGkXP6+8iCqbC1uLF2uOnrOspkhEOrzPz+QIUHcFa3cKoqJv3uLt32Sq7IXtlaCv+Mn0kTz53j70GolWbyimoAbFJWRorpFz2nz2Ex135cVmVlw0iu+O7eKvtz6C8+J53JzE05VJkyb1dCoCgeAMJ22ievLkyRw5coSamhqsVisbNmzg6aefbrfMyZMnGTJEcbrYsmVLrzt2VdbaI+Iyz6ihzuHlSIOLYAi0KgAln1ijksjWa3hlW3VcUd2biuRUVzMnytULp3jUO70cb3aj16goytGjVknUObyMt5r4cN8prGY9Tm8Qtz+ISpKYXpaHt4tnrZW1dn6/cR/VDa2Y9GpkYNuhRvafdDJ2iAlfUEanlrA5vIzIP11hv2pTFVazHl9QiYb7/EFGF5k4cMoVKTK0GHWR/VNlc0VuVOLtt1REgNKdvhCP7grW7h5f0fuup8elsL0S9BVLzhnGsaZWXth6BEmlAmL3LA8B5cU5lBZmxz3uwuf4iUYnP/7LM5ScV84P/9evuzUeu10pArf0U9tjgUCQOaTN/UOj0fDwww9zyy23sHjxYi655BLOOussnnvuOSoqKgB47bXXWLJkCcuWLePVV1/liSee6NU2N+6yUe/0kmPQkG8yYNCq0KpVyICMhNmgwahV0dTqI0evxubwxF1XbyqSU13NnExVty8oM2tcEUNyDJQWZJGt10ScSUYWZJNv0mHUKcV946w5LJpkxWrJ6lJQbdxlo9Hlw2TQYNBpMOo0aNUSVTYnu084KLEY2H3CweF6F/6gItT9wSCH612Rv5eY9eyoaebwKSctbn+kvfDYIUoBUaIK/lRVgXflkJJu4jnBxBMOPd1Pyb6vstbeyWkm3c4GgjObVp/M0nOHMnmYBU2cx2eyDP881MjbXx+P6eYUPsdddie3/PFBLIeq+EPprG6f42+//TZvv/12T6eSkFjnl0AgyAzSmlM9e/ZsZs+e3e61O++8M/LzPffcwz33pK5g5HizG28giNmgROJkJHKNWvxBL5IEOo06IupavEGs5viV370pOumLgpVEkdpw9NLU5uMcblxjNmhp8QSYXlaA2x9K2AUvOpq7+4Qdjz9IkUkf+bsirOS2DosS/qCMSa+OeHUfOOnCpFdH/j6q0IS91ceX1U24vAH0GhX/UpoXST9IVMGfqjSPgZy+MCzXyJF6J3UOb5uziZZis55RhbE9uHu6n5J5X7xUlHnlRZHc9zM1r12QPsJPQmwON/GalstAq9cPskyJObdTilT4HJ/97stIwLtPvoQ+KA2IczyMqE0QCDKbAV2omGqG5RrZb1Oathi0avQaFS5vABUQCMo0unwYtSokSXn99jldp5vEE7KJ0gjSkWYQaVyTo6fK5sQbCCHLMqMKsuK6iiQSVPttLdQ2e9CqVORl6wBw+4PoNCpM0X7dvkDEq9vh8aNTSZG/n2rxUOfwYdSqmXVWIdsPN7G3TnFM0Ws0CSv4U8VATl8YZ83m718fI1uvIUevtIA/0exmwdnxI8893U+J3hfv5qPK5jqj89oF6SUcFHB5g4S6cP8Ihoh0udWq1e0Ec229g7P8dr666iYAZLWGHFkeEOd4mIF8cy8QCBIzqET1oklWdh23c7jehSzLqCVo8QYwaFQUGbU0tvqxuwOMLsji7gXjunT/iEdH4Xmk3snd/1nH8DwjZw+1RNws+jsSUV5iYV55Ea9sq6bZ7UOlkhiZn8WoQlM7UZ+soKp3egiGZLz+AEcbg4BSmS/LoFOrGVukpG+MLcrm80ONmAwaQrKMTq3C6Qlw9jBlOwdOuUCCQpMeq9nItDKJ3SccfFvjYP5Ea78Js/7s2tXdm6oqm4vzRuRS1+LF6QlgNmrb7BpdLEn56LomkT2j+OIX9AXhoIDLG+hyOY1a+f+ro82cN9LC8ea25WWZm/78KF5JzQf3/z6y/EBLURrIN/cCgSAxg0pUl5dY+OXCcazddpQdNXZa/SGGWgxYjDpCMgzLz6Y4R8/oIlOPBDV0Fp77bIpNmaMtP3V1xUHGF5v6PRJRWWtnc+UpJpaYmTY6n6P1LqpsTvZE5esl2n74gl/v9PDV0Wb0GhWji7KpaXRT5/BSaNLx/TH5uP0hdBq1IqI1agpMOlp9Qd759gRmvYa8bG3k741OH2oVkRzqohwDs8bpqbV7emXl113h2l+NGXryePd4s5vSwux2LddDaYqwiZbBgnQQDgq8++3xLpfzBSHPqEKvUbHnRAsXj1cK3Xn0UUodNh65czXZbv+ATVES55dAkNkMKlENysX5sSvPARR/5xKLIeJVDb0XK9GRhgMnFTcLvUaF06v4VwdCMrV2T7t82L6ORFTW2nnknT00On3km3QUZGk53NAKEthb/UlHy8MX/PC8DFolLFQ+1MLEEjMWo5a7549rJ2j1asVJZeJQS7sOkL5AkFp7gHyTjhKzPpJDDb3/EumJcO2vxgzdebwb3o97TjjYb2vh7KFminI655r3JwOhK5xg8BEOCmTpNHj8QQJBuVNutYSSV61WSSDLNLkDSpFtfT2sW0fWxo38NGTo9Tk+ffr0VE2rE+L8Eggym0EnqqPpi6hA9DodHj85ek0kxw8gP1tLg8vX7j19KZDCArPB6SU/S4vXH+SLI07ys7XkZelo8QaSjpaHL/j1bevy+IN4AyHOHmpud2MQnQbw7PtVaDt2e8zPaifAw64bqfoS6WleYn+kL8R7vLv7hFLxH/6yj04TOneEmc8PNfH5oUYuGJ2HQds517y/EF3hBOkgfE6XFmRx5JQLWQ4SCp0W0uH/NRJ4AiGQJGaOLaBcF4C8fPjqK1CpKCfxE7lEjB8/vvcTioM4vwSCzGZQi+q+iAq0W6deg6PNZuzsoWYAis0GHG3b6Y9IRPjLqNCkx9Pm+hGSZVzeIOCj1Rfk/T02THo15gRtvaNbvIej3uHoqd3tj3ljkChHMPpLZPcJOw5PAItRw8Zdtsjfu8tAzkuMdSN3tN7FsSY3w/NOe3m3TxPSMn2MxK7jDr49ZmfBxOLI8RItxPvLV1vkTgv6m/A5PXmYhUanF78rhD8kE65ZlIG2ADX+YAi9RsX155fAggXw0ENw+eUpG0t9fT0AhYWFKVtnNOL8Eggyl7T5VA8EkvF37s06LVlakGHcEBMFJj12tx+1WsXtc8akdJtdEfY4HjskG28gpAhrjQqH24/N4cWk12DSq3F4Ahxrcif0RC0vsfDosolMHq6kfITnFc8HORn/4vISC4smWckxaJlYYmZCsblXPtHDco0crXex7VAD7++xse1QA0frXejUUlL+r33pExvLC7rK5mR8W1twlSS1SxMKU2gyMGtcEWcPtURyzQeqr7ZAkGqiryNatYpsvQZ1B7/qkAySCoxaNScdHoqeehyGDYPLLkvpWNavX8/69etTuk6BQHBmMKgj1ZCaqECsoriw8On4t/CjvN64NnSnCC8cGS00GTi/NJcDJ12o1RJBWabIpMdi1OINKNmJ462mpAomu/OIMtmnAam0kupoQedw+zla76S0IBudRt1lnnVf+8TG2ncjCoyMLMhut1yiNKFMt94aqN0rBQOTcdZs/veGSk61eBXxLIO6LSQUlJX0D7UEakliWK6Rwtpqsta+Cvv2gBSnW4xAIBCkmEEvqntLIhEWS7Rv2HmcV7ZVY3N4sJoN/GT6yKTdRror+qJFbX62nvISNUNzjdQ2txKSFUtBs0HLpGFm8rP1SadIxJpXPKGUjABPZcpGlc3F1JG5kWYpFqM20tQnkQjtD7Hacd89+35Vp5SQRGlCAznFJRHhYzgUClFr97CjuolNu+u4fc6YHrvuCM5cKmvtvPLPozS3+gm25VEHUTyp1VHLSZJSaH7K6SW7dDR/+N+v8qC1991WBQJB8gSDQa666iqsVitr1qxh7dq1vPLKK1RXV7Nt2zby8/PbLb9z506uueYannnmGRYtWpSmUacOIarpXdQsGREWvX6Xx8+OmmZys3QMMelwuP38dn0l67+tJdugRa+WkFHaiscaS3dFX7Q/dbSIr7K5Ogk5u9sfSZHo7r5I5uaiK1JZNHq82c3Igux2Div/vbsObyDYbrlYIjQdYrVjNL+6wUXVSScWg4Y9tQ4sRg0TSyztbkYy2Xpr4y4boVCIfTYneo2KgmwdDk+A1RUHKSsyiYi1oB0bd9k40uAiS6dBo1Kav/gCQfwhRVyHCTeFuejrLYwfbcW1cHFaxisQDGZeffVVxowZg9Op2AlPnTqViy++mBtuuKHTssFgkFWrVjFjxoz+HmafMahzqoF27hM9yU0N5yxHEy3COq7/6+pmXN4gWrWESqVCq5ZweYN8Xd2MVg3bDjXy+aFGNCpijiXR9sLbDOcEP/j3nfz96xNMLDGz7NyhTCwxs7nyFOOs2Z1ye482uLA5vD3aF9FiP5wXbDFqIwWHiYiVaxwvTzsRsfK4dRoVeo263WuxRGgyOeCpJjoPf2+dg311TsYNMfG9sgImlpgx6bWdbm5Sub/6m+PNbmrtnogtoyRJmA0aAiE56eNFMHg43uzG4w+i10gYdUqhtVp1OqVD1/azDGQHPfxq84u48goz4lwQCM4k6urq+PDDD7n66qsjr02cOJHhw2MbMbz22mssXLiQgoKC/hpinzPoRXVvxWAiEdZx/Z5ACINWorEtX7bR5cOgVV4/dKqVHIMGk0HDofrWmGNJtL2OIn73CQeH6134g8F28wu3lY4umBxqMTCize6uq30Rq5AvGbEf770Qv2gU6HbRYCzBmZ+to7CtqLIrEZousVpeohQgTiyxcOGYAkYXmbr8DPqiyLa/GJZrpMHlQ685ffnxBkLkZ2szIn1F0L8MyzVi0KrxBmS0ahU5Bk1EVEuAXqui0KQj16jlp19tYO+oiSz66dI+OxdmzZrFrFmz+mTdAkEm8/jjj3PvvfeiUiWWljabjc2bN3Pttdf2w8j6j0Gf/tHbx/2JCvE6rj9br8bX5u8MiphAVl4P+1oDONuEc8exJNpex/QQf1DGpFdz4KQr0mAlXlvpX775LfkmZfv1Tg8HTrqwu32oJFUkUhovzSNLq6LFE+gyHaG7+ec9LRqMlcf9q0XjI/unq9zudPvEdud4zFTrrUWTrGzaXYfDE8BsUHzcvYEQpflZGZG+IuhfFk2yUlFZx766Fhxuxf1DUklkaVWUF5vQaDQ4PH7MBi3TXMf561W/QPvJkT4rgC0rK0vp+gSCM4EPPviA/Px8Jk2axOeff55w+ccee4xf/vKXSQnwTGLQi+re5qYmEmE6tcTWqlOKuDVoGJ2fxbfH7Rg0akIhRVB7AiEuGJVPY6sfj1/JEgw3i4llP9fV9jqKMpNBg9cXwOHxJ5xfeF/4g8FIG3K9WgWSFBGzr207yqFTzsh8xhZlYzFq8QWC2N3KNqLF/gWjciM52tWNrZSY9Unng/emaDCe4EzmCzadYjWTc6WTpbzEwu1zxrC64iCNLj/52VpK87NQq1Xikb0gJkU5Blo8AU62+AgEQxjUKq7+3jCaWpVOtTkGDdX1Tn51xX2cNyK3T5x7wtTV1QFQXFycsnUKBJlKuGZs8xsbqd35MZu3fIgc9ON0OvnlL3/JqlWrYr5v165drFy5EoCmpiY++ugjNBoN8+bN68/hp5xBL6pT0QAmngirrLVjc3hp8QQw6dV4fQEavEFG5hlRq1ScdPoosRjQa1VYLUZys7V8fqgJXyCExahhw85aNCqJ2+eOSWp70FmUjS3K5vNDjZgMGkKy3OX8wvvi0CknujYTWG9QZupICzqNmte2HeWTAw3kGRVva69fyQWfMsJCIEQnsX/BqNxIV8ASi4Fvqpuxt/owGTSdouYd99vGXTb+8c1xrDl6zrKaulz+TGKwtClecs4wyopMwlZPkJCNu2yUFmRzzvDcyGuKK46W5f9iZeMuG7X1Dlb+6hpe+PWfKCxSCpT7ymZy48aNANx4440pW6dAkIlEP02es/yntCy9Abvbz/ScRirW/WdcQQ2wZcuWyM/3338/F198ccYLahCiuk8f92/cZWNEfhbFFj0HTrpwePyYDBomDTXz2JXnRJY77Q4SYEKxiR3VzZywe1BJUJit5+9fn0jaFaGjKNNp1IwsyGKoxUCt3dPl/ML7YuUb34IMOUZNpGNiSJbZXNlAXpbyRSVJEgatum38LVw8fkhMq7joSHN+m9tJdCpKVyki1hw9Dk+Ar442c35pLoUmwxkXte1IutNP+pNMTV8R9C9dpUSFj59dT7xJnS6HTfVg9ds4d7iFohzDGX8TLhCkk3hPk7843BRZ5tVXX+XFF1+kvr6eZcuWMXv2bB577LG0jLc/GPSiGpL/cu+u9V74y0AlaSMiMiS375TXcfu/eO1L3P4QkgR6jZoQMofrXazddrSdEO9qLtGiTKeWGGox4I1j0Rfr/QsmFsdMQZCQmDg0hx3VSrGgXqNClmWa3YGYj+13n7DjcPtxeoOYDBoKsrQ4Wv3UO71xo+bRJ+nYISa+rm4GYL/NiVatTlnUdiA3H8kksdnb/TiQPwfBwKCrlKjKWjurNlWxct1f+I9Z1yAjR6xLvz+2EJ1GfUbfhAsE6STeDa9zyFjWrLkKgBtuuCGmnV40Tz75ZJ+Nsb85szLEe0lX7al7Yr3XXXu2ylo7nx5qRK0Co1ZFMBSi0eVHLcnsqEm+/XTYSeLmmaNw+0NoO3QR3LDzeJeOGvEcMM4bYUGv0XB+aS4GrZoWbwBJkrhobEHMRjDHmtw4wqkv/iCHG1qxmnUUmPRxHSuiXUSKcgxMHZmL2aDB1uLttsNFvM8z/FkePuWkusHFhp213P3Xb9mw83jS+1jQezvK3r5fMDjoypFn4y4bTXYXh0ZP5OD5MwEJjSTh9gfZfcKRMTaTAkEmkg4L2oGOENVtJPqC74n1Xnft2TbusqGSQKOSkCQJjVqFRgUNLj8nWzzdspWLN+ZQKMTqioNdCpl4dm3XTS/F7vajVav53uh8po0uoKzIxHXTS2Nue7zVhNcf5GhDK8eaWqlv8VLd6ObRZRNZtfxc7p4/rpNA7niSFuUYmDjUwuVThsVcPh5dfZ4bd9kIBkNUnXRGrNyQYPWWg0nt265uvgYTvbWj7O37BYODruwjjze78fv9vHbN3RiMBvKytHj8ARpb/RxvdjOvvCjiWiTOWYEgtWRyv4S+YtCmf3R87Fzf4unSaaIn1nvdzY893uxmqMXAiWYPoDQ48AVCtHiDjC7M6nZFe6wx19o9BEJyQkeNeCkIyc7neLObLL2atiZnSEioJHD7g52WjSZVhXpdOYccb3ZT5zjdfATAbNDQ4PIlLGrqqc3fmUhv7SgzudW6oH+Jdz0aYdJw/2PXsfLeP9NoyqOp1Y9BqyFLDyUWI5srTwG0K5ju7Tk7d+7cXs9HIDgTGEw1QMkyKEV1LGH08YEGZozNB07n7UV/wffU6ix8cIUPunAULtZBNyzXiD8QxOUL4vYF8QVCeAIhjFoV3xudH4nmhdfXk9bfDS4fBdm6dst1R8h05XQSfWLp1BK7TziUgkOzIpzCdoFdjb2nJ2nH7e8+Yae8xBxznsNyjXxT3axEqNvwBkIUZOsS7ofe2PwlM+5MyilO5pzoan6DwT5Q0LdMq/mOUzl5fO3REXI70aolJJWKXK2GScPMaNVqXtlWzcQSc8rO2REjRqR0DgJBJpNJNUD9waBM/4j12DkvS8ueEy3tlov+gu/pY46OaQhH6p3c/Z/fcssr2zs9hlw0yYpKpeLc4RZKC7KwZGnRadTMGFsQKXSE5EVwrDFr1SqKze2jg70VMrFSLWwOL3UOD8gysizjaWt4U16Sk3Ds4ZzweCkiyWz/WJObo/WumPNcNMmKRiXh8ATaja3EYki4H5LtHJkMmZ5TnOicSDQ/8ehQ0Bsqa+0E33yL/TMWMKowi0BIxu0PUZClZcZZhRSaFPcPm8OTsnMWoKamhpqamlRMQSAQnGEMSlEdSxiVl+TQ1Br/C76nbaGjBXyjy8s+mxMAR9v6o0VGeBujCk2MLMjm0nOGsmRyMcWWrHbrTFYExxrz7XPGoFarUipkYt2kjMjPosikB0nC6Q2i16qZOjIXg1aT8khkrO2Pt5qosjljzrO8xBLx/g63yx5vNaFSJW4+ksrCjEzPKU50TiSaXya3Whd05ne/+x2LFi1i6dKl/Nu//RsOh6NPt7dxlw3X8FLqL7mMueXFnDcyj7IiEwU5hnaWnVazIaXFVBUVFVRUVPR6/AKB4MxjUKZ/xHrsbNBqmDm2AItR2yntoOMj7Jtnjkr6iz86b/TASZfSpVCjwukNxnwMGa9VN/QsxzjWo5mOTTd6mwMVLze2JNeASa+NdDzrq0YmsbY/siCbVn8w5ucJp5uPrN12lB01dqpOOjlvRG7CbaWyOcuZkFPc1aO/ZOYnHh2eOcyYMYN77rkHjUbDU089xZo1a7j33nv7bHsnGl2Erv0fqCSlUdXYIdl8eaSJRqevnWXnT6aPjORWn8kNlQQCQfoZlKI6njCKFSULi9pgMESdw8M31c1s2lXH7XPHsOScYQm3FS3gHR4/OXoN3oDiQ73tUAMtbj9IxM2l7YtCgFQLmXi5sRNLLBHbq74sYuhq+3fPH9fle1v9Ib43Oj9yHCQqYErl53Gm5xSf6fMTtGfmzJmRn6dMmRLpPNhXXL3uBRqzLez94U8BKDQZmFCcQ63D26nRVaoDCQKBQBCLQSmquxJGsVxBwvZreo2K/GwtDk+A1VsOJtXlsJ2A12tweAJ4fAGQJDQqSSmskaQuxVyqRXC84rFERXPx/t5V9LY/IpE9jR6HrfX21DpwegKYDBqKc/QJC5hSNaczvSX5mT4/QXzeeustLrnkkj7dxjmVX/AfS3/e1rJcOb5UKhWPLpvY6fwUT0QEAkF/MChFNcS+yMZzBTEb1D2yXwtvJyzgLVlaHO4AOo0ao1ZJZ/cFZc4vtaBVq3tcjd4d4lnCzSsv6tJ2KpGVXDptdXq6/d0n7BxrdKPXqiINaqpsTloT2P6le9yZwpk+v8HIjTfeSH19fafX77rrLubNmwfAn/70J9RqNcuWLeu7gTQ1YTy4n3k/XcZ7+5vF8SUQCAYEg1ZUxyKWXVpelpbqxlbOGmKKLBfLfq2rKG+0gK+stXPPGzvxBkNYjDomDTNTaDIQkuV+yaWNZwmXyHYqkZVcuiNBPdm+wxMAicjNkkGrxhsIKa/3E+neb33NmT6/wcbLL7/c5d///ve/8+GHH/Lyyy8jteU69wknT8IvfsGEUUOYMGpI320nBosWLerX7QkEgsxBiOooYhVWlZfkcLjehcMTwGxQ8qG9gRCjCrIiuaHdaQhSXmJh/kQrh085qWvxsqPajsngojhHz+giE31NvOIxm8PDtNH5nV4PC/3+LqrriX9zd99jMWqwt/rw+IPoNSq8gRCyLGMxitNCIOguW7du5cUXX2Tt2rUYjX2cNz9+PDz5ZN9uIw7FxcVp2a5AIBj4DEpLvXjEskszaDXMGFMAxLdfi9cO/JF39sRsizvOms2OmmYcbj8SIQ6ddLJ570mq6hx97lEczxIuke1UKq3kEtET/+aevGdiiYUJxTkYtGpavAEMWjUTinOYKCKrAkG3+e1vf4vL5eKmm27isssu4+GHH+67jS1ZAmnyij506BCHDh1Ky7YFAsHAZtCG5KKjmnq1hAyccnqpaXAzzmqitDA7Ulh1x7yzAOJGQTtGceudHvbWtRAMwbTR+Z0i11U2F1NH5nLolIujjW6MWjXDcg2csHv6vOV1vOKxRLZT/Vl01pOuhT15jzKnVspLzO3mJJqPCATd5/333++fDdnt8NFHUFLSP9vrwNatWwEoKytLy/YFAsHAZVCK6uh0Da0ath1qRAIuGJ1HllbNvrZitbOHWtoVvsQTZx2tww6cdCFJEvkmbczW4seb3YwsyKbO4WV0YTYGrRpZliPe1X1ZsNhV8VhXtlP9WXTWk1STnrxHFNIJBBnI9u0wdSpoBuXXl0AgGMAMyqtSdFTzs0OOSHfFQ/WtTC8rIC9bj8WoTehxHKZjFLfe6UWrUjG2KDuyTLTAC4vwsG81KMWPJoOmX5p/xCseS1RU1l9FZz3xN+6pJ7IopBMIMoyTJ2H+/HSPQiAQCDoxKHOqo9uUOzz+010O23KGuytsO7ZbLjDpGWc1UZRzOnIaLfAWTbJid/vRqVV4/EE8/iDeQIixRdmiOQan9093Wqn35D2gPLV49v2qmLnvAoFgAPKjH8FDD6V7FAKBQNCJQRmpjo5qqiWJow2t+IIhjDo1p1o86DTqbgvbjrZ54aK5WPnHYRG+dttRPj7QQF6WlikjLOg06kHRHCORS0cyaRmxcuJbPH6ON7uxGDVMLLEkTOXojmuLQCAYIPzsZ/DMM5CVle6RCAQCQTskWZbldA+ipxw7doy5c+dSUVHB8OHJC9GwmAqFQnxb00yDy49aJVFk0hKSJUYWZPGrReN7JayStXfriXVcJhMtZBO1iE9mHd5AgM8PNUVy4g1aTdLre/b9qk4pI+Hfk039EQgE3aOn120AbDYoL4eGBuhLH+wuCDe/KSwsTMv2BQLBwGVQRqrDkdBH3tmDRq1mVKEWWYagLKNTqxhqMfRa2CabqzvYcnp74tLR1Tpi5cQnu77+9t4WCAS95LvvYPLktAlqEGJaIBDEZ1CKalDE7Mj8LKaNzkcVdYEOyTK1dk8aRzbwSBRN7060PRVCNnod0cWe3c2J72lxoyBzGGxPgs549uxRRHUa2bdvHwDjx49P6zgEAsHAY1AWKobpz4YmmUqipirdbbqiU0tsrTrF+3tsbDvUwKkWT7f3efTnZjZoI10uTW0R62TX19PixsFGphZz9qQhkGCAc/vt8NRTaR3Ctm3b2LZtW1rHIBAIBiaDWlRnoqjqb4ETq1tk2Es7mb93HLvN4aXFE0CjAq8vwOeHGjna4OrWPo/+3MqKsmjxBHB6ApQVZnXrMywvsTCvvIg9tQ7e+fYEe2odzCsvEpHMKDJZmHbn2BRkCH/5C/j96R6FQCAQxGRQi2oAo1bF54cbqKg8iT8QHNDOD+kQONH2g2Gi0ysS/T2ajbtsjMjPYvqYfIw6Db6QjMmg6XYOe7SFoT8I08vymVaWTyCk5Ggn+xlW1trZXHmKiSVmlp07lIklZjZXnsoIwdhfZLIw7c6xKcgAQiFYsSLdoxAIBIK4DNqc6mgHiXnl1ogLxUAmFUV+3SU677je6eHASRf1Ti8FJj2VtfZu5SWHc6FVkpZCk5IT3dMc9lQUeKZjf2YamVzMKXLmzzBOnACzWfknEAgEA5BBK6p7K6j6qgCqq/X2ROD0dpzhbpFNLi9761qQJAmtSkVxjp4Xth5mXnkRmytPRcbS0ZM7moEmcjJZMPYXA+0z6w4dO512dWwKMoADB2Ds2HSPQiAQCOIyaNM/evNouK/SMBKtt7uFlakYZzjVotbhJRgCs1HL1NJcRheZsBi1VNlc7bpJdpV+MdBy2EWhamIG2mfWHTp2Ou1OapBgADJ5Mjz3XLpHwRVXXMEVV1yR7mEIBIIByKCNVPcmAtdXaQOJ1tvdyFuqxhnPfjB8E9IdT+5EnRITkconBCKSmZhUfGbpZLD5wJ/RuN1w1lnpHgUWizieBAJBbAatqO6NoOqrtIFE6+2uwEnlOFOVBpCMyIknnFPdVjzTBWN/IYSpYECwciVceSVcc01ah7Fr1y4AJk2alNZxCASCgcegFdW9EVR9lWeazHq7I3BSOc7omxCPP0BlbQtNrX4uGltAZa09ZaKrK+HcF08IhGAUCDKEAZJT/eWXXwJCVAsEgs4M2pxqUATV3fPHsWr5udw9f1zS4qqv8kxTvd5Uri98E+ILBPnnwUYAZozNR6tRp9TWL1o4Nzi97Kl18N0xO4+8s4fdJ+zCIk0gGIzIsiKqx4xJ90gEAoEgLoNaVPeUviqASvV6+2J9RTkG5kwYwsXjhzAkx5hy3+JwAempFg9fVzfj9QfJy9LQ4PRyrMnN0XpXu+VFYaFAMAjw++GeeyAvL90jEQgEgrgM2vSP3tJXaQOpXm+q19fXNnThlJUDp1zoNSoMWjUef5BCk55is559dU7yTXpRWCgQDCZ0OnjkkXSPQiAQCLpERKoF3aKvbejCKSuNTh86tYTHH8QbCDF2SDYjC7IZUWAUFmkCgUAgEAgGHCJSnWb6qolMX9HXNnThlJVH3tlDg9NLoUnPpGFmCk1K0eLEtjx4gUAwuBgo18of/vCH/b5NgUCQGYhIdRrpqyYyfUl/NNQoL7Hw6LKJnDM8l/ISM/nZ+oxqOiIQCFLLQLpWZmVlkZWV1e/bFQgEAx8RqU4jfdVEpq/pDxs64SEtEAjCDKRr5TfffAPAlClT+nW7AoFg4CNEdRrp66K/TEd4SAsEAhhY10ohqgUCQTzSmv6xdetWFi5cyPz583nhhRc6/d3n83HXXXcxf/58li9fzrFjx9Iwyr6jr4v+BAKB4ExAXCsFAkEmkDZRHQwG+c1vfsOLL77Ihg0bWL9+PQcOHGi3zJtvvonZbOb999/nxhtvZNWqVWkabd/QV01kBAKB4ExCXCsFAkEmkDZRvXPnTkpLSxkxYgQ6nY4lS5ZQUVHRbpktW7ZwxRVXALBw4UK2bduGLMvpGG6f0B9FfwKBQJDpiGulQCDIBNKWU22z2SguLo78brVa2blzZ6dlSkpKANBoNOTk5NDU1ER+fn6/jrUvEXnDAoHgTOEPf/gDFRUVqFQqCgoKeOKJJ7BaUxNNFtdKgUAw0BGWegKBQCBICbfccgvvvvsu69at4+KLL+aPf/xjuoeUcn784x/z4x//ON3DEAgEA5C0iWqr1UpdXV3kd5vN1imiYbVaqa2tBSAQCNDS0kJeXl6/jlMgEAgEyWEymSI/u91uJElK42j6Bq1Wi1arTfcwBALBACRtonry5MkcOXKEmpoafD4fGzZsYM6cOe2WmTNnDm+//TYAmzZt4sILLzwjL9ICgUBwpvDss88ye/Zs3n33Xe688850DyflbN++ne3bt6d7GAKBYACStpxqjUbDww8/zC233EIwGOSqq67irLPO4rnnnmPSpEnMnTuXq6++mnvvvZf58+djsVh49tln0zVcgUAgEAA33ngj9fX1nV6/6667mDdvHnfffTd33303a9asYe3atdxxxx1pGGXfsXv3bgAuuOCCNI9EIBAMNNLa/GX27NnMnj273WvRkQ29Xs/zzz/f38MSCAQCQRxefvnlpJZbunQpK1asOONEtUAgEMRDFCoKBAKBICUcOXIk8nNFRQVlZWXpG4xAIBD0M6JNuUAgEAhSwtNPP83hw4eRJIlhw4bx6KOPpntIAoFA0G9ktKgOBoMA7VxEBAKBINMoLi5Go8noyzEAq1evTrhMpl+3m5ubATh27Fh6ByIQCNJGvGu2JGdwi8Ivv/xS+IUKBIKMp6KiguHDh6d7GP2CuG4LBIJMJ941O6NFtcfjYdeuXRQVFaFWq9M9HIFAIOgRZ0qkOhnEdVsgEGQ6Z2SkWiAQCAQCgUAgGAgI9w+BQCAQCAQCgaCXCFHdjzzwwANMnz6dSy+9NPLa6tWrueiii7jsssu47LLL+Oijj9I4wuSora3l+uuvZ/HixSxZsoRXXnkFUAp4brrpJhYsWMBNN92E3W5P80gTE28umfi5eL1err76apYtW8aSJUsiHu81NTUsX76c+fPnc9ddd+Hz+dI80q6JN4/777+fOXPmRD6TysrKNI80eYLBIJdffjm33norkHmfSarYunUrCxcuZP78+bzwwgud/u7z+bjrrruYP38+y5cvb1cMuGbNGubPn8/ChQv5+OOP+3PYMenpXD799FOuvPJKli5dypVXXsm2bdv6e+id6M3nAnDixAnOO+88/uM//qO/hhyX3sxl7969/Ou//itLlixh6dKleL3e/hx6THo6H7/fz3333cfSpUu55JJLWLNmTX8PvROJ5rJ9+3auuOIKJk6cyMaNG9v97e2332bBggUsWLAg0ml7QCIL+o0vvvhC3rVrl7xkyZLIa88//7z84osvpnFU3cdms8m7du2SZVmWW1pa5AULFsj79++Xf/e738lr1qyRZVmW16xZI//+979P5zCTIt5cMvFzCYVCstPplGVZln0+n3z11VfLO3bskO+44w55/fr1sizL8kMPPSS//vrr6RxmQuLN47777pPfe++9NI+uZ7z00kvyypUr5RUrVsiyLGfcZ5IKAoGAPHfuXLm6ulr2er3y0qVL5f3797dbZu3atfJDDz0ky7Isr1+/Xr7zzjtlWZbl/fv3y0uXLpW9Xq9cXV0tz507Vw4EAv09hQi9mcvu3bvluro6WZZled++ffLMmTP7dewd6c1cwtx+++3y7bffnvZrZm/m4vf75UsvvVSurKyUZVmWGxsb03qMyXLv5vPOO+/Id911lyzLstza2ir/4Ac/kGtqavp1/NEkM5eamhq5srJSvvfee9td65uamuQ5c+bITU1NcnNzszxnzhy5ubm5v6eQFCJS3Y9ccMEFWCyWdA+j1wwZMoSzzz4bAJPJRFlZGTabjYqKCi6//HIALr/8cjZv3pzGUSZHvLlkIpIkkZ2dDUAgECAQCCBJEp999hkLFy4E4IorrqCioiKdw0xIvHlkKnV1dXz44YdcffXVAMiynHGfSSrYuXMnpaWljBgxAp1Ox5IlSzrNe8uWLVxxxRUALFy4kG3btiHLMhUVFSxZsgSdTseIESMoLS1l586d6ZgG0Lu5TJw4EavVCsBZZ52F1+tN65OK3swFYPPmzQwbNoyzzjqr38fekd7M5dNPP2X8+PFMmDABgLy8vLQX0vZmPpIk4Xa7CQQCeDwetFotJpMpHdMAkpvL8OHDmTBhAipVe2n6ySefMGPGDHJzc7FYLMyYMWNAPK2KhRDVA4DXX3+dpUuX8sADD2REykQ0x44do7KyknPPPZeGhgaGDBkCQFFREQ0NDWkeXfeIngtk5ucSDAa57LLL+P73v8/3v/99RowYgdlsjlQpFxcXZ8RNQ8d5hD+TZ599lqVLl/L4449nTMrE448/zr333hv5omhqasrIz6S32Gw2iouLI79brdZO87bZbJSUlACg0WjIycmhqakpqff2J72ZSzSbNm1i4sSJ6HS6vh90HHozF5fLxZ///Gduu+22fh1zPHozl3DToptvvpkrrriCP//5z/069lj0Zj4LFy7EaDQyc+ZMfvCDH/DTn/6U3Nzc/hx+p3H29BweaOd/VwhRnWauvfZa3n//fdatW8eQIUN48skn0z2kpHG5XNxxxx08+OCDne6AJUnKqOhix7lk6ueiVqtZt24dH330ETt37uTQoUPpHlKP6DiPqqoqVq5cycaNG3nrrbew2+0xc/IGGh988AH5+flMmjQp3UMRDDD279/PqlWr+M1vfpPuofSYf//3f+cnP/lJ5MlSJhMMBvnqq6946qmn+Mtf/sLmzZsHRL57T9m5cycqlYqPP/6YiooKXnrpJWpqatI9rDMeIarTTGFhIWq1GpVKxfLly/nuu+/SPaSk8Pv93HHHHSxdupQFCxYAUFBQwMmTJwE4efIk+fn56Rxi0sSaS6Z+LmHMZjPTpk3jm2++weFwEAgEACUVIfzoORMIz+Pjjz9myJAhSJKETqfjyiuvzIjP5Ouvv2bLli3MmTOHlStX8tlnn/HYY49l9GfSU6xWa7suijabrdO8rVYrtbW1gJL609LSQl5eXlLv7U96MxdQPvPbbruN3/3ud4wcObL/Bh6D3szl22+/ZdWqVcyZM4dXXnmFNWvWsHbt2n4df8dx9nQuxcXFXHDBBeTn52M0Gpk1axa7d+/u1/F3pDfzWb9+PRdddBFarZaCggKmTp2a1mtmb87hgXb+d4UQ1WkmLEJByU0bCHlpiZBlmV//+teUlZVx0003RV6fM2cO//jHPwD4xz/+wdy5c9M0wuSJN5dM/FwaGxtxOByA0mDjn//8J2PGjGHatGls2rQJUCqo58yZk85hJiTWPMrKyiKfiSzLGfOZ3HPPPWzdupUtW7bwzDPPcOGFF/L0009n3GeSCiZPnsyRI0eoqanB5/OxYcOGTvOeM2dOpLJ/06ZNXHjhhUiSxJw5c9iwYQM+n4+amhqOHDnCOeeck45pAL2bi8PhYMWKFdxzzz2cf/756Rh+O3ozl7/85S9s2bKFLVu28JOf/IRbb72V6667Lh3TAHo3l5kzZ1JVVRXJQ96+fTtjx45NxzQi9GY+JSUlfP755wC0trby7bffUlZW1u9zCJPMXOIxc+ZMPvnkE+x2O3a7nU8++YSZM2f28Yh7hmj+0o+sXLmSL774gqamJgoKCrj99tv54osv2Lt3LwDDhg3jN7/5TSQveaASbjM8bty4SJ7oypUrOeecc7jrrruora1l6NCh/OEPf0hrDlcyxJvL+vXrM+5z2bt3L/fffz/BYBBZllm0aBG33XYbNTU13H333djtdsrLy1m1alVaczgTEW8eN9xwA01NTciyzIQJE3j00Ucz6rHz559/zksvvcSaNWsy7jNJFR999BGPP/44wWCQq666ip///Oc899xzTJo0iblz5+L1ern33nuprKzEYrHw7LPPMmLECAD+9Kc/8dZbb6FWq3nwwQeZPXt2Rs7l//yf/8MLL7xAaWlpZF0vvfQSBQUFGTeXaFavXk1WVhY333xzmmah0Ju5rFu3jhdeeAFJkpg1axa/+tWv0joX6Pl8XC4XDzzwAAcPHkSWZa688kpuueWWAT2XnTt3ctttt+FwONDr9RQWFrJhwwYA/va3v0VsAX/2s59x1VVXpXMqcRGiWiAQCAQCgUAg6CUi/UMgEAgEAoFAIOglQlQLBAKBQCAQCAS9RIhqgUAgEAgEAoGglwhRLRAIBAKBQCAQ9BIhqgUCgUAgEAgEgl4iRLUgIygvL+eyyy6L/Dt27BjXXHMNoLQXf/fddyPLVlZW8tFHH3V7G9dff31KzPFTtR6BQCA4kznvvPPSPQSBIKVo0j0AgSAZDAYD69ata/faX//6VwCOHz/O+vXrWbp0KaCI6l27dqXdx1YgEAgE6ScQCKDRCLkj6HvEUSbIWM477zx27NjB008/zcGDB7nssstYsmQJf/nLX/B4PHz11VfceuutXHzxxfz2t79l//79BAIBbrvtNubNm4fH4+GBBx5g7969lJWV4fF4Om1j69at/O1vf+P5558H2jfweOSRR/juu+/wer0sXLiQO+64I+4YATZu3MiHH37Ik08+SWNjI4888ggnTpwA4MEHH+T888/niy++4LHHHgNAkiTWrl2LyWTqq10oEAgEA4rq6moeffRRmpqaMBgM/Pa3v2XIkCEsW7aMiooKVCoVra2tXHLJJWzevJna2tpOy48ZM4b7778fnU5HZWUlU6dOZcmSJTz22GN4vV4MBgOPP/44ZWVluN1u7r//fvbv38/o0aM5efIkDz/8MJMnT+aTTz5h9erV+Hw+RowYwRNPPJFRDacEaUAWCDKACRMmyMuWLZOXLVsm/+IXv5BlWZanTJkiy7Isf/bZZ/KKFSsiy7711lvyo48+Gvn96aeflv/xj3/IsizLdrtdXrBggexyueSXXnpJvv/++2VZluXKykq5vLxc3rlzZ7vt+v1+efbs2bLL5ZJlWZYffvjhyLqamppkWZblQCAgX3fddXJlZaUsy7J83XXXRdYTHqMsy/J7770n33fffbIsy/LKlSv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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 2, figsize=(12, 12))\n", + "\n", + "linear_regression.residuals_vs_fitted(model_2, ax=axs[0][0])\n", + "linear_regression.residuals_normality(model_2, ax=axs[0][1])\n", + "linear_regression.scale_location(model_2, ax=axs[1][0])\n", + "linear_regression.leverage(model_2, ax=axs[1][1])" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "def poly(var, degree):\n", + " return \" + \".join(f\"np.power({var}, {i})\" for i in range(1, degree+1))" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.682
Model: OLS Adj. R-squared: 0.679
Method: Least Squares F-statistic: 214.2
Date: Tue, 14 Sep 2021 Prob (F-statistic): 8.73e-122
Time: 23:06:30 Log-Likelihood: -1550.6
No. Observations: 506 AIC: 3113.
Df Residuals: 500 BIC: 3139.
Df Model: 5
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 67.6997 3.604 18.783 0.000 60.618 74.781
np.power(lstat, 1) -11.9911 1.526 -7.859 0.000 -14.989 -8.994
np.power(lstat, 2) 1.2728 0.223 5.703 0.000 0.834 1.711
np.power(lstat, 3) -0.0683 0.014 -4.747 0.000 -0.097 -0.040
np.power(lstat, 4) 0.0017 0.000 4.143 0.000 0.001 0.003
np.power(lstat, 5) -1.632e-05 4.42e-06 -3.692 0.000 -2.5e-05 -7.63e-06
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Omnibus: 144.085 Durbin-Watson: 0.987
Prob(Omnibus): 0.000 Jarque-Bera (JB): 494.545
Skew: 1.292 Prob(JB): 4.08e-108
Kurtosis: 7.096 Cond. No. 1.37e+08


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.37e+08. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.682\n", + "Model: OLS Adj. R-squared: 0.679\n", + "Method: Least Squares F-statistic: 214.2\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 8.73e-122\n", + "Time: 23:06:30 Log-Likelihood: -1550.6\n", + "No. Observations: 506 AIC: 3113.\n", + "Df Residuals: 500 BIC: 3139.\n", + "Df Model: 5 \n", + "Covariance Type: nonrobust \n", + "======================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "--------------------------------------------------------------------------------------\n", + "Intercept 67.6997 3.604 18.783 0.000 60.618 74.781\n", + "np.power(lstat, 1) -11.9911 1.526 -7.859 0.000 -14.989 -8.994\n", + "np.power(lstat, 2) 1.2728 0.223 5.703 0.000 0.834 1.711\n", + "np.power(lstat, 3) -0.0683 0.014 -4.747 0.000 -0.097 -0.040\n", + "np.power(lstat, 4) 0.0017 0.000 4.143 0.000 0.001 0.003\n", + "np.power(lstat, 5) -1.632e-05 4.42e-06 -3.692 0.000 -2.5e-05 -7.63e-06\n", + "==============================================================================\n", + "Omnibus: 144.085 Durbin-Watson: 0.987\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 494.545\n", + "Skew: 1.292 Prob(JB): 4.08e-108\n", + "Kurtosis: 7.096 Cond. No. 1.37e+08\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.37e+08. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# this is equivalent to the raw=TRUE option of R's poly\n", + "smf.ols(\"medv ~ \" + poly(\"lstat\", 5), data=boston).fit().summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.6 Qualitative Predictors" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 400 entries, 0 to 399\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Sales 400 non-null float64\n", + " 1 CompPrice 400 non-null int64 \n", + " 2 Income 400 non-null int64 \n", + " 3 Advertising 400 non-null int64 \n", + " 4 Population 400 non-null int64 \n", + " 5 Price 400 non-null int64 \n", + " 6 ShelveLoc 400 non-null object \n", + " 7 Age 400 non-null int64 \n", + " 8 Education 400 non-null int64 \n", + " 9 Urban 400 non-null object \n", + " 10 US 400 non-null object \n", + "dtypes: float64(1), int64(7), object(3)\n", + "memory usage: 34.5+ KB\n" + ] + } + ], + "source": [ + "carseats = pd.read_csv('Data/Carseats.csv')\n", + "carseats.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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37.40117100446697Medium5514YesYes
44.15141643340128Bad3813YesNo
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" + ], + "text/plain": [ + " Sales CompPrice Income Advertising Population Price ShelveLoc Age \\\n", + "0 9.50 138 73 11 276 120 Bad 42 \n", + "1 11.22 111 48 16 260 83 Good 65 \n", + "2 10.06 113 35 10 269 80 Medium 59 \n", + "3 7.40 117 100 4 466 97 Medium 55 \n", + "4 4.15 141 64 3 340 128 Bad 38 \n", + "\n", + " Education Urban US \n", + "0 17 Yes Yes \n", + "1 10 Yes Yes \n", + "2 12 Yes Yes \n", + "3 14 Yes Yes \n", + "4 13 Yes No " + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "carseats.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Sales ∼ Advertising + Age + CompPrice + Education + Income + Population + Price + ShelveLoc + US + Urban + Income:Advertising + Price:Age'" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Sales ∼ \" + \" + \".join(carseats.columns.difference([\"Sales\"])) + \" + Income:Advertising + Price:Age\"" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Sales ∼ Advertising + Age + CompPrice + Education + Income + Population + Price + ShelveLoc + US + Urban'" + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Sales ∼ \" + \" + \".join(carseats.columns.difference([\"Sales\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: Sales R-squared: 0.876
Model: OLS Adj. R-squared: 0.872
Method: Least Squares F-statistic: 210.0
Date: Tue, 14 Sep 2021 Prob (F-statistic): 6.14e-166
Time: 23:35:54 Log-Likelihood: -564.67
No. Observations: 400 AIC: 1157.
Df Residuals: 386 BIC: 1213.
Df Model: 13
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 6.5756 1.009 6.519 0.000 4.592 8.559
ShelveLoc[T.Good] 4.8487 0.153 31.724 0.000 4.548 5.149
ShelveLoc[T.Medium] 1.9533 0.126 15.531 0.000 1.706 2.201
US[T.Yes] -0.1576 0.149 -1.058 0.291 -0.450 0.135
Urban[T.Yes] 0.1402 0.112 1.247 0.213 -0.081 0.361
Advertising 0.0702 0.023 3.107 0.002 0.026 0.115
Age -0.0579 0.016 -3.633 0.000 -0.089 -0.027
CompPrice 0.0929 0.004 22.567 0.000 0.085 0.101
Education -0.0209 0.020 -1.063 0.288 -0.059 0.018
Income 0.0109 0.003 4.183 0.000 0.006 0.016
Population 0.0002 0.000 0.433 0.665 -0.001 0.001
Price -0.1008 0.007 -13.549 0.000 -0.115 -0.086
Income:Advertising 0.0008 0.000 2.698 0.007 0.000 0.001
Price:Age 0.0001 0.000 0.801 0.424 -0.000 0.000
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Omnibus: 1.281 Durbin-Watson: 2.047
Prob(Omnibus): 0.527 Jarque-Bera (JB): 1.147
Skew: 0.129 Prob(JB): 0.564
Kurtosis: 3.050 Cond. No. 1.31e+05


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.31e+05. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: Sales R-squared: 0.876\n", + "Model: OLS Adj. R-squared: 0.872\n", + "Method: Least Squares F-statistic: 210.0\n", + "Date: Tue, 14 Sep 2021 Prob (F-statistic): 6.14e-166\n", + "Time: 23:35:54 Log-Likelihood: -564.67\n", + "No. Observations: 400 AIC: 1157.\n", + "Df Residuals: 386 BIC: 1213.\n", + "Df Model: 13 \n", + "Covariance Type: nonrobust \n", + "=======================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "---------------------------------------------------------------------------------------\n", + "Intercept 6.5756 1.009 6.519 0.000 4.592 8.559\n", + "ShelveLoc[T.Good] 4.8487 0.153 31.724 0.000 4.548 5.149\n", + "ShelveLoc[T.Medium] 1.9533 0.126 15.531 0.000 1.706 2.201\n", + "US[T.Yes] -0.1576 0.149 -1.058 0.291 -0.450 0.135\n", + "Urban[T.Yes] 0.1402 0.112 1.247 0.213 -0.081 0.361\n", + "Advertising 0.0702 0.023 3.107 0.002 0.026 0.115\n", + "Age -0.0579 0.016 -3.633 0.000 -0.089 -0.027\n", + "CompPrice 0.0929 0.004 22.567 0.000 0.085 0.101\n", + "Education -0.0209 0.020 -1.063 0.288 -0.059 0.018\n", + "Income 0.0109 0.003 4.183 0.000 0.006 0.016\n", + "Population 0.0002 0.000 0.433 0.665 -0.001 0.001\n", + "Price -0.1008 0.007 -13.549 0.000 -0.115 -0.086\n", + "Income:Advertising 0.0008 0.000 2.698 0.007 0.000 0.001\n", + "Price:Age 0.0001 0.000 0.801 0.424 -0.000 0.000\n", + "==============================================================================\n", + "Omnibus: 1.281 Durbin-Watson: 2.047\n", + "Prob(Omnibus): 0.527 Jarque-Bera (JB): 1.147\n", + "Skew: 0.129 Prob(JB): 0.564\n", + "Kurtosis: 3.050 Cond. No. 1.31e+05\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.31e+05. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "smf.ols(\"Sales ~ \" + \" + \".join(carseats.columns.difference([\"Sales\"])) + \" + Income:Advertising + Price:Age\", data=carseats).fit().summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
[T.Good][T.Medium]
Bad0.00.0
Good1.00.0
Medium0.01.0
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" + ], + "text/plain": [ + " [T.Good] [T.Medium]\n", + "Bad 0.0 0.0\n", + "Good 1.0 0.0\n", + "Medium 0.0 1.0" + ] + }, + "execution_count": 150, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import patsy\n", + "\n", + "levels = [\"Bad\", \"Good\", \"Medium\"]\n", + "contrast = patsy.contrasts.Treatment(reference=\"Bad\").code_without_intercept(levels)\n", + "pd.DataFrame(contrast.matrix, columns=contrast.column_suffixes, index=levels)" + ] + }, { "cell_type": "code", "execution_count": null, From 6fe6bcf40dbce1ce4c05f592d84836da3de57f25 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Wed, 15 Sep 2021 00:07:58 +0200 Subject: [PATCH 17/32] rerun in order --- 03_Linear_regression.ipynb | 302 +++++++++++++++++++------------------ 1 file changed, 153 insertions(+), 149 deletions(-) diff --git a/03_Linear_regression.ipynb b/03_Linear_regression.ipynb index 0d61f5a..1bd0684 100644 --- a/03_Linear_regression.ipynb +++ b/03_Linear_regression.ipynb @@ -23,7 +23,10 @@ "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf\n", "\n", - "from scipy import stats" + "from scipy import stats\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.neighbors import KNeighborsRegressor" ] }, { @@ -359,44 +362,44 @@ "data": { "text/html": [ "\n", - "\n", + "
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TV1.0000.0550.0570.782TV1.0000.0550.0570.782
radio0.0551.0000.3540.576radio0.0551.0000.3540.576
newspaper0.0570.3541.0000.228newspaper0.0570.3541.0000.228
sales0.7820.5760.2281.000sales0.7820.5760.2281.000
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 10, @@ -1222,7 +1225,7 @@ }, { "cell_type": "code", - "execution_count": 248, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1232,12 +1235,12 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { - "image/png": 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xmfXYLAY0koQUdKPDx/Y91Xg8Ht5//30mT57Miy++yHvvvccf/vAHNJpOkVBVVcUPfvADfvOb31BSUpLEIxEIho547pOSkhLKysoANefv7bffZvLkyQAcP348/F3vvvsukyZNSsZhCAQCQdyInD+BQCAYhdQ1u8jJMIefO1ubWffs/fgDAdb8xcTFF1/Meeedx+zZsxk/fjzXXHMNABdeeCHf//73efDBB2lpaeGee+4BVI/HSy+9lJRjEQiGinjuk3PPPZcVK1bQ3t6OoijMmDEjfF88++yzbN++HZ1Oh91uZ/Xq1ck6FIFAIIgL0epBIBAIRiFrNh7A6fJhsxjCr4Wer7hI9OsbSwj52DviPhEIBofoITvyEGGfAoFAMAo5c24BTrcfp8uHrCg4XT6cbj9nzi1I9tAEgpRB3CcCweAwGAw8/fTTvPLKK7z88sts3bqV3bt3c/nll/Of//yHV199Fa/XG+4TW1RUxLPPPsurr77Kd77zHe68884kH8HYQyh/AoFAMAopGZ/OFedOxWYx0NDixmYxcMW5UykZn57soQkGwOrVq1m6dCkzZsyIqtK6dOlSLr74YpYvX87y5cujipMIYiPuE4FgcPTVQ1aSJCRJ6tZDNj1dvb9ED9nkIHL+BAKBYJRSMj5dbGJHCeeffz433ngj1113Xbe//fnPf2b69OlJGNXoQNwnAsHgED1kRxZC+RMIBIJRSH/zMBwOB3fccQfl5eUYjUZ+/etfC4Uihejaf1EgEAiSRWmVg+17qqlrdpGbaeHMuQWsX7+e1tZWvve973Ho0KGw/IjVQ3bNmjXJOIQxjQj7FAgEglFIf/MwHnnkEWbNmsWrr77K6tWrue+++5J8BIJ4ueWWW7jsssu4++67aW1tTfZwBALBKEb0kB35COVPIBAIRiH9zcM4evQoZ5xxBgBTpkyhsrKShoaGpI1fEB/PPfccr7zyCv/6179QFIV777032UMSCASjGNFDduQjwj4FAoFglNKfPIyZM2eyadMmFixYwGeffUZVVRU1NTXk5OQka/iCOCgoUKtSGgwGVqxYwXe+850kj0ggEIxmRA/ZkY9Q/gQCgWAU0TUX4/6H/062TYqZh7Fy5Uruu+8+li9fzvTp05k1axZarTaZhyKIgcvlIhgMkpaWhqIobNiwgVmzZiV7WAKBYBSTm2mJ6o2ZV1jM9T/4TbfemPv27evx8/fdd59IK0gyQvkTCASCUUIoF8Nm1kflYlxx7tRwHsb06dPDeRgPPPBA+LM2m41Vq1YBoCgK559/PhMmTEjWoQi68Ktf/YpNmzbR0NDAf//3f5ORkcEjjzzCD37wA4LBILIsM2XKFH7xi18ke6gCgWAUc+bcAta9ewQAi1mPy+3H6fZz4cJJSR6ZIF5SSvlbvXo1GzdupLKykldffTVsoV66dCkGgwGj0Qioye1nn312MocqEAgEKUdkLkZ7mwOdVovNbGDLx8d5//33+da3vhXOw3jqqaei8jBaW1sxmUwYDAZefPFFFixYgM1mS+LRCCL5+c9/zs9//vNur7/88svDPxiBQDBmCfXGjIwwuXDhJNEuZQSRUsqf6GMkEAgEAycyF8PZ2szLz96PLMv4g0Guv+aKPvMwjh49ym233QbAtGnTRFiOQCAQCHpE9MYc2aSU8if6GAkEAsHAiczFyCss5ts/vT/8PJSL0Vsexvz589m4ceNwDlcgEAgEAsEwM2JaPYg+RgKBQNA3Z84twOn243T5kBUFp8uH0+3nzLkFyR6aQCAQCASCFGBEKH+ij5FAIBDEJpSLYbMYaGhxY7MYuOLcqSI8RyAQCARxU1rlYM3GA9y/dhdrNh6gtMqR7CEJEkhKhX32huhjJBAIBPEhcjEEAoFAMFD6qhotZMvoIOWVP9HHSCBILF6vl+uuuw6fz0cwGOSiiy7ipptu4o477mDv3r0oikJJSQmrVq3CarXy/PPPs2bNGjQaDRaLhV/+8pdMnTo12YchEAgEAoEgwURWjQbC/27fUy2Uv1FCSil/oo+RQDD0GAwGnn76aaxWK36/nxUrVnDOOedwxx13hEv7r1q1iueee46VK1dy2WWX8dWvfhWAt956i1WrVvHkk08m8xAEAoFAIBAMAZFVo0NYzHrqml1JGpEg0aSU8if6GAkEQ48kSVitVgACgQCBQABJksKKn6IoeDye8Psje7253W4kSRreAQsEAoFAMIoprXJE9c07c25B0rxskVWjQ7jcfnIzLUkZjyDxjIiCLwKBILEEg0GWL1/OWWedxVlnncUpp5wCwO23386iRYs4duwYN9xwQ/j9zz33HBdccAG//e1vezTQCAQCgUAg6D+hHDunyxeVY5esIiuiavToRyh/AsEYRKvVsn79ejZv3sxnn33GoUOHADXcc+vWrUyZMoUNGzaE33/dddfx5ptvcsstt/Dwww8na9gCgUAgGGOM9sqTkTl2GknCZjFgM+vZvqc6KeMRVaNHPykV9ikQCIaG3kJK7HY7CxcuZOvWrUyfPh1QFcNly5bxxBNPcNVVV0V9z7Jly7j77ruTcARjg1QK/REIBIJkMxYqT6Zijp2oGj26EZ4/gWCU0zWkpK6unrX/+ZTSKgcej4f333+fkpISysrKADXn7+2332by5MkAHD9+PPxd7777LpMmTUrGYYx6Ui30RyAQCJJNqnnFhoLcTAsutz/qNZFjJxhKhOdPIBjldC3brPjbef3vf2TDMwrpVgMXX3wx5557LitWrKC9vR1FUZgxYwb33HMPAM8++yzbt29Hp9Nht9tZvXp1Mg9n1CLKawsEAkE0qegVSzRnzi1g3btHAPXYXG4/TrefCxcKQ6tgaBDKn0AwyukqPPMKi/nf2+6nocXNj649Nfz62rVre/y8KPAyPIyFTY5AIBD0h7FQeTKUYxcZ8n/hwknC6CcYMoTyJxCMcsaC8BwNiOskEAgE0YwVr5jIsRMMJyLnTyAY5YiyzSMDcZ0EAoEgmuGoPDnaq4kKBF0Rnj+BYJQjQkpGBuI6CQQCQXeG0is2FqqJCgRdEcqfQDAGECElIwNxnQQCgWD4EIW2BGMREfYpEAgEAoFAIBhz1DW7sJj1Ua+JQluC0Y7w/HUgmisLBAJB/xFrp0AgGKmIQluCsYjw/CGaKwsEAsFAEGunQCAYyYhCW4KxiFD+iI751kgSNosBm1nP9j3VyR6aQCAQpCxi7RQIBCOZ4agmKhCkGiLsE9FcWSAQCAZCrLVThIQKBIJURxTaEow1hOcPNebb5fZHvSZivgUCgaBv+lo7RUioQCAQCASph/D8ocZ8r3v3CKBarV1uP063nwsXTkryyAQCQTIQHqv46GvtFCXUBQJBMhHruEDQM8Lzh4j5FggEnQzUY1Va5WDNxgPcv3YXazYeGBMerr7WTlFCXSAQJAsReSAQ9I7w/HUgYr4FAgEMrOlvaKNhM+ujNhpjwYjU29opSqgLBKOfVPWuicgDgaB3hOdPIBAIIhiIx0pUveyOKKEuEIxuUtm7JiIPBILeEcqfQCAQRDCQAlCputFIZihqyfh0Tp+dR2lVK1s+qaC0qpXTZ+cJq/sAWb16NUuXLmXGjBkcOnQo/HppaSnXXHMNF110Eddccw3Hjx9P3iAFY4pUNnqJQn4CQe8I5U8gEAgiGIjHKhU3Gsm2ypdWOdixr5aS8XbOmV9EyXg7O/bVpoRXYCRy/vnn89xzz1FYWBj1+i9+8QtWrFjBxo0bWbFiBXfddVeSRigYa6Sq0QtE5IFA0BdC+RMIBIIIBlIAKhU3Gsm2yif790cbCxYsoKAgej41Njayb98+Lr30UgAuvfRS9u3bR1NTUzKGKBhjpKLRK4Qo5CcQ9I4o+CIQCARd6G8BqNBGI7LwwYULJyV1oxGrAftw/L5OK7HnSAPtHj9Wk57CXGtKeAVGC9XV1eTl5aHVagHQarXk5uZSXV1NVlZWkkcnGO2M1jZZqVrERiBIFEL5EwgEggQw3BWDY21Qkl1tU6/TsOdIA1aTHotJh88fZO/RRuZOzRmW3xcIBENLKhq9Qgy0AvNYrtwsGDsI5U8gEAhGGPFsUJJulVdAkjr/Dx3PleH5+bFAQUEBtbW1BINBtFotwWCQurq6buGhAsFQkaptsgba6kG0iBCMBUTOn0AgEIww4smnS3bOiz8oM3tyNga9Fpc3gEGvZfbkbPxBeVh+fyyQnZ3NrFmzeO211wB47bXXmDVrlgj5HCUks1rvSGegxWhSuYiNQJAohOdPIBAIRhjx5vMl0yofCjuNDPN0unzY7IY+PiXojV/96lds2rSJhoYG/vu//5uMjAxef/117r77bm677TYeeugh7HY7q1evTvZQBQlAhB8OjoGGvSc7XH6oEHmMgkhSSvlbvXo1GzdupLKykldffZXp06cDah+j2267jZaWFjIyMli9ejXFxcXJHaxAIBiTpIIQHQkblKSHnY4yfv7zn/Pzn/+82+tTpkzhxRdfTMKIBEOJCD8cHANdf0bjujUUhoRUkIOCgZNSYZ+ij5FAIEhlkt07L0QqtpboSrLDTgWCkYwIPxwcA11/RuO6lei2O6kiBwUDJ6U8fwsWLOj2WqiP0d/+9jdA7WP0y1/+kqamJpHXIBAIhpVUscancpW9SFK1GIRAkOqMBO9+qjPQ9We0rVuJbvuTKnJQMHBSSvnriVTrY/Te7gpe33acxlY32XYzyxYVs3he0bCPQyAQDD/J7p0XyWjboAgEgk5GY/hhiESGDPb1XSI0USXRhoRUkoOCgZFSYZ+pznu7K3jq9f20u31kphlpd/t46vX9vLe7ItlDEwgEw0BupgWX2x/1mrDGCwSCRDMaww8hsSGDfX2XCE3sJNFpAkIOjnxS3vOXSn2MXt92HItRi9WsWk/Uf328vu248P4JBGOAeKzxwtosEAgSwWj07icyZLCv7wKGPTQxVdf+RKcJjGav9Fgh5ZW/yD5Gy5cvT2ofo8ZWN5lpxqjXzCYdja3uYR+LQCAYfmIJ0VQtz56qmxKBQDC2SGTIYKzvGs7QxFRd+0Mk0pAwUnLOBb2TUspfqvcxyrabaXf7wp4/ALcnQLbd3MenBALBaKIvIZqKifCpvikRCARjh0Tmn8X6ruEsmJOKa/9QMhq90l0ZzUbTlFL+Ur2P0bJFxTz1+n7Ah9mkw+0J4PIG+coFxckemkAgGCb6EgipmAg/1jYlAoEgdUlkyGCs7xrO0MRUXPsFA2e0G01TSvlLdUJ5fZHVPr9yQfdqn6PZWiAQjBSG4j6MJRBSsTy72JQIBIJUIZEhg7G+azhDE1Nx7RcMnNFuNBXKXz9ZPK+oz+Iuo91aIBCMBIbqPowlEFIhEb5rOxq7VY/LrRObEoFAkBIkOv+st+8aztDEVFj7BYljtBtNRauHBBO5OdRIEjaLAZtZH64+JRAIhp6hug/rml1YzPqo1yIFQrLLs/fUjuZgWTNHK1oSVuZbIBAIBNEke+0XJJbR3s5CeP4SzGi3FggEI4Ghug/jCe3py9o81CHhPbejAW9AxmYxxB3+JELXBQKBoH+MhSIoY4XR7skVyl+CEXHfAkHyGar7cDACYahCUSMVtePVreRmmqL+bjbpaG7zsuKimXF/nwhdFwiSjzDCjF3EtU8uo72dhQj7TDBnzi3A6faLECuBIIkM1X04mNCeoQhFDSlqTpePnAwzBr2G2iY3bl8g/J7+tqMRoesCQfLpem+HjDClVY5kD00wxIhrnxqUjE9nxUUz+dG1p7LiopmjRvED4flLOPFaC4RVRyAYOlLRajcUoahdC9DMnJTJ7kP1NLS4KRxn7daOJp51R4SuCwTJZ7RXGxT0Tk/X3tHu5bF1e8jLtqTknlHsafsm1c6PUP6GgFhx3yKsSiAYeoYi/2Iw925/QlHjFRSRilpzq4fWdj9mkw6ny09ds4f8LEu4HU28Yxeh6wJB8hFGmNQgGZv2rte+uc1DWXUrsgwnTckelj1j16rRyxZ1b2sWQuxp+yYVz49Q/pKAsOgJBCOHSOFf2+giK904oHs33nzBkKAIyjKNLR4OljWzfU8111wwrZvwDSlq/oDMgbJmDDoNWWkmsu1mCnNtUcIl3nVntCe6CwQjAWGEST7J2rR3vfYVtU40kkSarTMUHwa3Z+xLqQ1VjbYYteGq0U+9vh+gRwVQ7Gn7JhXPj1D++kkirEDCoicQjAy6Cv9DZc20ubxYTHoy09TCKvHeu/GGom7fU01QlimvacOg05JuM+By+3nhzUMU5qb1qKhV1jnR6yQA/EGZmcVZ6LUaNrxfSmaaibpmF8cqHUyfmAGoluSKWidOtw9JkpiYZ6O81hke1+mz86KeJztkViAYawgjTPJJ1qa967VvcXrRaiSKcm3h9wxmzxhLqe25arSP17cd71H5E3vavknF8yOUv36QKCuQsOgJBCODrsI/3aZaQStqnWHlrz/3bjyhqHXNLhpbPBh0Wgx6LQAWk57Wdl+3TUdIofzj87tQFAWb2cDkonQy00w0tbr59HADp83KIyfDzImaNvYebaS4wE5lvRODTotep8HnC/LU6/uZMTGDgnE2nC4fO/bVipAdgSCJDHfecqrlJKUCydq0d732GTYjWXYjmfbOSs6D2TPGUmobW91kphmjPmM26Whsdff4fWJP2zepeH6E8tcPEmUFEhY9gWBk0FX4F+Xa2H+8iRanF1lRhuTezc20cLCsmXRbp6DwB2TsVkOPm46S8emcMaegm3AprWzFqNNQWtVKu8ePRlK/Z39pE9nppo7vVdDpNFg0Ek2tXgpz01IiJEUgEAxf37hUzElKBRK9ae+Pgh157SOrfyZizxhLqc22m2l3+8KeP+i7arTY0/ZNKp4f0eohkuZm+NvfoK6uxz/XNbuwmPVRrw3ECjSYcvECgWDwlFY5WLPxAPev3cWajQd6LaGdm2nB5faHn2faTUzKTyPDZhyye/fMuQXotBpcbj+KouDzB/EFZLLTTVGbjshjaG7zUN3YHtXaorHVjdcfxOcPYjHq0Go0aCRw+wL4ZQWDXsvMSZnIimrVbfd0HmeyQ1IEAkHPxLt29QfR3qVnEtkyaDDtGxK9Z+wq1wCq653UNrq4f+0u7FY10qTd7UNWZNrdPlzeIMsWFQ/L+EYbJePTOX12HqVVrWz5pILSqlZOn50nqn2mDGYzNDbCtdfCGWfAddfBSSeF/5yKrluBYCSQSiFF/bFy92Sx02o1rLxi7pCNv2R8OtdcMI0X3jxEa7sPu9VAfrYFrVYT3nR0PQaX24+EhD8gc7yqlXa3H68vSECrYDUrGCQJg16L2agjKMPcydnhdcxq0nez8g7puhYMgt8PJlPs9woEY4y+1sqh8tClYk5SKpDI0NvBRo4l0gvcVa5V1zs5WN7CjEkZHfJER16WF29AprnNS7bdHK4aPRzjG22UVjnYsa+WkvF2TpqSjcvtZ8e+2m45/MOJUP4iMZngllvgf/8X1q+H226DcePgq1+FpUsT5roVIRaCsUSqzff+COFk9QtcPK+Iwty0XjeBPR1DPmqxF4tJR26mmaY2D61OL3XNLsZlmtFpNMiKQl6WGWeH1ddi1pOVbqS+xc2EPOOQhbKGqauDW2+Fiy6CFSsS//0CwQgm1lo5VAVIhGG7dxKl1KSSgt1VrjW1epkxKYPCcWmAOq+mFGVgsxhYcdHMYR/faENU+xwp2Gyq1+/aa2HzZlizBu6/n5JrruHKhefx/vH2QW0EU3EiCARDRarN9/4K4WRZNPv63d6OYcfnNczp8OplpZnQaTU4XT6aHB6KctPIz7FQOC6NM+cWhAV/4bg0zpxTMPTVPXfvhttvh698RTWoCQSCKGKtlUOlQKRiTtJoI9kKdk8e5ZBid//aXSmjmI5G6ppd6LQSe4400O7xYzXpKcy1imqfKYtWC0uXqo99+2DtWoqfeoriiy9WFcOJEwf0talkARIIhppUm+/DJYTjCXUdaDhsb8cAhPOS7TY9J+rakGUFjQRZ6Ua0Gk34N4ZNoVUU+Ne/4NFH4Z574Kyzhud3BYIUI9b9HmutHKq1K1kRDqnKUKQpJFPBjuVRHqp5lUrpHslEr9Ow50gDVpMei0mHzx9k79FG5k7NSdqYRMGXeJk9G+69F154QfUM/s//wI9+BDt2qJubftBTsq0IsRCMVlJtvicyib834knuH0wBgN6OYcbETFxuP81tHqrq20m3GtDrNCiKRHlN2/Anmft88KtfwT/+AX/9q1D8BGOWeO73rmtlc5uHTw7UcaxSLfIyMc82ZGtXyfh0Vlw0kx9deyorLpo5JjfpMLh1uS+SWRQlVkGfgcjEWIWHhuo8jkgUkKTO/0PH8/6pDglFKH/9Zdw4+O534bXX4Nxz4Xe/U72A69erG504GI7NZyyGomKYQNATqTDfIxkOIRxP9bzBVNjr7RguWVSC0+3nWIUDvVaDyaDDbjVy1skFzJ2SQ3mtM2HHGJO6Oli5Etra4KmnYMKE4fttgSDFiOd+j1wrm1rd7DnSgMvrZ9rEjHD/zdNn54mqikPIUFY+TZaCHatSfX9lYjyKnagg24k/KDN7cjYGvRaXN4BBr2X25Gz8QTlpYxJhnwPFaIQvfQmWL1e9f2vWwIMPwpVXwtVXQ07v7txkh1ikWgEOwegm2fO9tzEN5e/HE+o62HDY3o4h3PQdsJl0TC5MJ9NuQlaU4Qu1/fRTtWDWl78M//3fEWZPgWB0EW9oWzz3e+Ra+cHeaqwmffj+DVFe6xySIhwiRE8l1dIUEkE8YZ1d5UnIQdBbwbFgUA73kLWa9GTZjVF5/EN1HkfiPA2d/8gwT6fLh81u6ONTQ4tQ/gaLJMHCheqjrAyef17d8JxzjlrUYGbPi3Qyy+KmWgEOwehnrJWBjkfYDmX+Tk9N34ct1Pall+Dhh+Huu2HRoqH/PQEAS5cuxWAwYDQaAbjllls4++yzkzyq0U1/DKnx3u+htTK0edZEGE6GSgkRBuFOkl2YZSjob75hrPlwtKKF2iYXRr0Wi1HNYSuracPjC4a/o6fzWN3gpMnh5f61uwakuI3UeZqKBZWE8pdIJk1Srd3f/S6sWwc/+Qnk5alhoUuXgi41TvdotGwJBKlEPIt9IlvHdLWEJkXY+Hzw29+qXr8nnxxwQSzBwPnzn//M9OnTkz2MMUN/DKn9vSeHUwkZyQbhRHiCIr9Dr9XQ6PCQT3I36on0cPU3+ibWfHB5AmgkMOi1gPqvPxDE5QmEv6NbL8EGJwfLWpgxMWPAittInaepGP2UGtrIaMNuh699Da6/Xm0VsXYt/PGPajjoFVdAVlZShzcaLVsCQSoRz2KfCIHQlyV0WIVNfT383/+pOdFPPQUWsZYIRj/9MaT2934fTgPOSDUIJ8IT1PU7XG4/Cgr+oExDizspG/Wh8HD1J/om1nywmvW0ubz4/EH0eg1+v4ysKFgj8gq79RJ0eJkxMYPC3M5eghCtuA22Gm4qk2rRT0L5G0oiW0UcPqxWCr3qKjUk9Jpr1AqiSSAVXdACwWgjnsW+t/fE2ybisXV7cDi9pNuMFOXawrlB2/dU96ugwKCszJ99Bj/9qRru/vWvg0bUEUsWt9xyC4qi8IUvfIEf//jH2O32ZA9pVNNfQ2p/NoDD6S0YqQbhRHiCevqOgo5/k9XgPNkerlghm+1uPzkZZrw+OZzzF+ohG0nkfI/VSzAehXekztNUREjp4WLaNPj5z+Hll2HKFHWz9I1vwMaN4PfH/HgiGWy1Q1EpVCAYOvrTJqLF6SXNqsfnD3KgrJnmVk+/LaGDKsn90ktqePvPfqauZ0LxSxrPPfccr7zyCv/6179QFIV777032UMa9Qx1JeOBVIcciHxOtYrM8RKriuVwfUeiGY4x9TVPus6Hyvo2Dpa1kGU3kpNhJstupKKunax0I6eflE/JeHu4h2xvxGr51N9quCNpnqYiQlIPN+npcOONqhJ4ww1qbuBll8Hjj0NT07ANY6Alh0XvFoFgaOlPm4gMm5FAQMGg12LQaaioc/bbEjqgktw+H/z612qBqyefhMWLB3PIggRQUKBugAwGAytWrGDXrl1JHlHyGC4DZTJ7t/XEQOVzqh1HvCSih2yq9aGFoR9TrHnSdT5EhmxqJInC3DRmTMygyeGNe77EUtziUXhH6jxNRUTYZ7LQauG889THkSNqE+SrroKzz1YLxCQpJDQWyQ5HEAhSncEm6sfbJkKnlXD7AtQ0tmPUa0m3GXB7A/0O4e7p93yBIB/s7eUYGhrU/L7sbHj6aZHflwK4XC6CwSBpaWkoisKGDRuYNWtWUsaS7FLsw10RMJVyeQYjn1PpOOIlESksqZgGMxRjirwvaxtdZNmNfc6TWCGbBeNs6PVafnTtqXH9fqww5v5WwxUMDqH8pQJTp8Idd8D3v682i//pT9WN1TXXwAUXgF4f+zuGiZGccCsQDDWJ2HjGIwT1Og0f768lKCtoJAmXR7WoTsiz93uT2/X3mts87D3aiNXUwzE0lKkVja+6Su3fJ8I8U4LGxkZ+8IMfEAwGkWWZKVOm8Itf/GLYxzHUilc8iuVYNlCONfmciLzI/n7HcBg3Ep3v2fW+PFjWTJvLh8WkD+eJ9zVPEpVr15filopK+GhmxCh/Y6KHkd2uhoJedx1s3apWCb3/fnWjddVVqkKYZHIzLVTWt9Hk8HY290w3dkv0jZdkW4kFw8NYuc6J2HjGIwRbnV7a3X70ei1GvQaNRsLvD5KXZe73ee36e8cqHEgSTC5MD4eBApx45O+UbH8F7rpLjVAQpAwTJkzg5ZdfTvYwhlTxilexHGsKUCSpWhBjKNf/RHiC4v2O4fQq96fpeiy276kmKHc2Zff6guh1EhV1zrDy19c8GQ7FLBXbIYxmRozyB2Ooh5FGA0uWqI+jR9UqoVdfrebVXHMNzJmTtKFNzLPx9s4TWIxazCYd7W4f9S1uzpzT/4TbkdqwU9A/xtJ1TsTGMx4hWN3oIjvDjMcbxB8IYtBpMRm17Ctt6ncD3a6/5w/KzJ6cHd4USAE/p63/K7b9e+EfT6r9TAWCHkjE/O9NUYhXsUxVBWg4SEXvSaz1fyQZBpPlVR6sDD1W6aCm0YlRr8Ni0hGUZRqa3QRlBVlRYs6T4VLMREjn8DGilL8xyZQpnSGhr7yi/j8jQ1UCL7wQDIaYX5FIymudaqJva4fnz2xgQp6R8lpnv79rLIfnjCXG0nVOZHgMEBa2oeIrkefLpNeSblUjIdzeALVN7WgkTdTm4PTZeZTXOsMCe2KeLep5aKMVKXTXbDyA0+UDwOhoZt6Tv6PdaGXXHb9hmlD8xjSxNuqDnf99bXLjUSxLqxw0t3rYfbgeu8VASaEdg06bdAVouEhF70lf6z+QkobB3uZ5srzKg5Wh7W4/fn8QlyeIPyCj12mwmHTIMnH3MhSK2egibuXvgw8+oLCwkAkTJlBXV8fvf/97NBoNP/7xjxk3btxQjjHMmO5hZLerTeNXrID33oMXX1RDQi+7TPUKjh8/LMOoa3ZRMM4WbtQJICvKgBa/sRyeM5ZI9HVOZUtxoizvsSy9MyZlsutAHYFWD0FZwesLAlCYaw6HajqcXl548zBzp2STk2Gmsr6Nt3eeYMbEDArG2aK+EzoVTb1OQ0OLm9llhznjuT9x9LTz2HnWpVxx2pTEnqxRRirIyKEkHu/DYOd/X5vcWIpl5PhOnpbD8cpWPj3cwLzp45KuTIxl+lr/41Vq+lrzEy0P+prnw+lVjjyuY5UOpk3MwBbx9/7IUEVRcLT70ek06LUSvkCQQECmuMAad8EWwegi7mz9e+65B61WC8Dq1asJBAJIksSdd945ZIOLRPQw6kCjUZvE/+Uvaon1YFDNE/zRj+D990GWh/TnE1mCODfTQnW9kz1HGvhgbzV7jjRQXe8cE+E5Y4lEzplUbjUSEtbtbj+lVa0cr2odcCnqWO0XTpmaQyAoE5QVFEUhGJQBhbwsM81tHvYcaeDTIw3UN7vYV9rEjs9r2F/ajFYDTa3eqO/c8H5p1DnVazXM/GQLZ/z1t7x/yY1ULP8qVyydLjbPMUi2jBxq4mkJMthS7HXNLnyBYJRM8AWC1DW7YpaKjxxftt3MF2blcdqsPDLTTGNm7qbi+tjX+h9Pef++jmkojreveT5cfeZKqxw8s2E/H++v5WhFC442L7sP1tPc6gm/pz8yVJIk0m0GDDotgaCCQadWh5YkKaHjFowc4vb81dbWMn78eAKBAO+99x5vv/02er1+2IqudO1h9J3vfGdYfjelmTgRbr4ZvvMd2LQJHnoIVq9WPYGXX672FEwwicwp6DV/UDTsHFUkcs6kaghppLW4pDA9fIwDtUIfrWih3e3H5Q1gNekpyrWRnmYMb4rKa53MmZwdDr926v3otVDb6Kaqvl0V8gEZn1/dOI/LNOP1BfD6lCiBbzHr2fF5DXMmZ2OzGJACfk5/9Wns+z/j41vu48s3np+wczTaSbaMHGri9eAPJjxMr9Ow50gDVpMei0mHzx9k79FG5k7NiRnSKCJJUnN97Gv9376nOqYnLVbYaKKPt695NFxhtRveL6WqwYnVpMdq1iPLCvXNbvaXNnLGyeP7LUOtZj2NDjdBWUYBgrKMTtFijVC8UzmiRpB44lb+bDYbDQ0NHD58mClTpmC1WvH5fAQCgaEcH5BaPYyGm7huSJNJVfYuuwz27lVDQpcvV3sIfvnLCe0ZmMjFr7zWyYxJGZ2VQ80GJuQPLH9QkLokcs6k6gYvkZuu0ioHdc1uJBQsJj0+f5ADZc1MzOsMt+4aft3c6mH/8Sbqml3kZ6kbp0BQxmjQotdpaGv3YzTo8PgC+Pyd0QEhi7zFrMfQ2sz8J36H35rGhz/9f9R6hFW4PyRTRg4HuZkWKuvaOvO9TXqy7MaoFIBBo0DYNqGo/0hS5//7UizHcqGXEKm4PsZa/2MZBmMdU31zO4dPtOIPBNHrtEybYGdcpnXA4401j4Yj9+1gWTMWow6DXo0ksFuN4dDNeHP0Ism0GzlWFR0VFpBlMu1qzvhYKsomUIlb+bv++uu5+uqr8fv93HHHHQDs2rWLyZMnD9ngQqRKD6NEEo9S1+8bUpJg7lz10dysFoj56U8hMxO+8hX4r/9KSIGYRC1+dc0uCnJsUW0iBpo/KEhtEjVnkrHBi+de7W2DcrSipd/lubfvqSY73ciRCgcNDg+mDgWuvLaNq89Xqx13PQ+ZdhOT8tNwOL34ZQWbSUeaRY8/qICi4PMHSLeZcHn8SBJRFd5mTMzEeGAfZ635EyfOvICjF1+N0xMgN3N4i0mNdJIpI4eD4YjUCFWaraprDyuYxYV2/MHY6QypWOlyuBkWBX0A9Lb+x2MY7GvN31fawN6jTei0EjqtRDAYZO/RJuZOHbjhKmXmUZdDMBl16HTxN1WPQgGjXovFpkev0+APyLi8/rBRJRU9xmMWn0/dv+fmRljCEk/cyt/KlSu58MIL0Wq1TJw4EYC8vDx+9atfDdngQqRKD6NEEa9S19MN6XB6eWzdHvKyLX1vJjMz4WtfU/MBt23rLBBz+eXDWiCmL4Slduwy0BCT4RbM8d6rPc3l6nondc1u8rIs/bKmHqt00NDiJt1qwO0N4PUF8fqDTErv7OHX03nQajWcMbcAvVYTHkdruxen248kSditBnLSjfgCSpT12LJpA54n72fnNf9L64IzxuSmOREkU0YOB71Fanx6pKHHCrIDIXQfzZ2aE37N6fJhs8c2RKRipcvhZiSmUsQyDPa15v97eykaDWg0GiQJNBoJjRKkrKZtUONJ9jyaMTGTvccakJDCyprbG2DO5JzYH+6BWEaVVPQYj2pkGerroaxMfZSXd/6/vh6KiuCpp8AydHvhfrV6KCkp6fO5ID7itbJ0vSGbWz2U1bQRlBVOmpId32ZSo1EbMp99Npw4Af/6l6oQzpmjegPPPFN9TxJIhoVNxLUPP13P+cQ8Gzv21Q4oxGS4BXO892pPc7m8to2J+Wn9tqa2u/1oJAmrxYC9o5VDu9uHyxOI8iJ2beMQum9C4yjMtdJ81IPFpGP25GyMHSXvw+fZ74c//AF27ODEE4/jbDHQMEY3zYliNMvInvJQFRR2H6rntFl5/b6Xe1qLBysTxno5+tGYStHXmu/1BbGa9PgDCkFZQauRsJr04erHg/nNZM6jSxaV0OBw0+r00e4NYNBqyM+2csmi3teTvvY2sYwqqWKIH3X7s7a2aMUupOiVl4PNptbtmDRJfZx2GhQXq44Z3dB34evzF5YsWRJXNaB33303UeMZE8RrZel6Q1bUOdFIkGYzhqtQQT9c8xMmqFVB//d/1QIxDz/cWSBm+fIhKRDTF8O9kRdx7cNPT+f8hTcPMzHPNuAQk+EUzP0pctF1LudlWSnIscX8bFcsJh1tLh8+fzBs9fX4g3h9vqiqdjv21fY4dyPHMXdqDiiq5ddmN3TeX01N8H//p7aQefppJthsrBjEeRqrjBUZ2VseqizL2C2Gft/Lfa3Fyfa6jGRGaypFb2u+zWzA4wtEFS7x+ALYzOo8HKgyMdyf60rJ+HRuvGR23N8Va28Ty6jS099rGl1kB2TuX7urx98fzhYbKX3/yzLU1MDx490fHo+q4E2cqCp2556rKnoTJ4J14HmpiaBP5e+3v/3tcI1jTBGvlaXrDelwetFooCivc0M5INd8ZIGYzz/vLBBz7rmqNzCBBWJiMZwbeRHXPvz0dM4DQZlGhycqDyVVQ0z6YxHtOpdDzdL7a02dUpSByaCNytvR+zSkpce3yY55T33+uar4LV8O3/xm0jz/o4GxIiO376lmYr6N8po2tUm0XoM/EKSx1cOiU6JTCOK5l/tai1dcNFOsxwMkVTw4w8Wli4pZ88YhIIBBr8Hnl/EFZK4+r3jAysRQfm4wClNlXVuvn421t4llaO/6d71Og4KCXqchPc3Y7ViGQlFL+f2Z26167LoqeOXlquOkuFh9TJ0KF1yg/n/cuCHN2xsMfSp/p59++nCNY0wRb2hL1xsy3WYkK91IZpop/J7B9EtTv9dH7llfZdG132DSR5vhttsgI0OtEvpf/wVG46CONZUQce3DT0/nPN1qoLXdF/Vaqm5QBhKGFrq3jla0UNfsZmK+jYIcW9whbOpvtpNl76jw5vTS1Obh5KnZUe8b0Nx95RW1R+jPfqYaewSDYqzIyLpmF2ajDq1GE55zWekmMmxGPJ4Ae+oa+lVgpK+1OBENvUdd+FicpEyxkmHiyqVqAazXth3H6fZhMxu4+rxirlw6nTUbDwxImeiqhPiDMpV1Tv74/C7OmFPQ61yKpbz0R2Hq+t7Kujbe3nmCGZMyKMixdftsPHubWEbByL+v2XggKne867Fs31NNUJYprWrtvO/Tjd3ObX/uw5TYnykKNDb27MVraur04BUXw5IlcOONqidvCHPzhop+BZbu37+fnTt30tzcjKIo4dd/+MMfJnxgo5n+hDtG3pCRDU0Hs7D3tAj965N2rrhgOSXXX99ZIOZPf1K9g1dfDYWFCTn2ZDLWrKLDRTy5Bv6gTEWtk3aPn6CsEJDlAc/j4dzY9Tc0uWu/P5NBS3lNG16fzOTC9LhC2ErGp1Ocn8ZLm4/i9wexmPTYLQZO1DpJt5pAgoqOXD9FgV/99UMmF6b3fR4CATW/74MP4LHHYBTloqUSo1VGhvrvabVqAQqPL0h9s5vx2RYOlrf0u8BIb2uxXqfpdYMMxLV5HrHhYwkgFYqVDDe5WRbysizoWiWy7WZyO1rdxFImepMjkZ9rbvNw4HgTeq0GBfqcS7F+Lx7lMDSe2kYXWXZj+D1NrV4sRi1NDi+F49K6fTbRe5tYx3Ks0kFNoxOjXhfux1lW3YrX11mVt7/34bDuz2QZKirg6FEoLY1W8ozGTgWvuFiti1FcDAUFoypKJm7l74UXXmDVqlUsWrSILVu2cM4557Bt2zbOP180AR4IAwl3TNTCHtO9HioQU1GhFoj52tfgpJNUb+BZZ1Fa03v4QSoz1qyiw0E8uQbPbNhPVYMTi1GHTivhDwTJtJnwB+R+9yxKxsauP/dq13urMDeNdJsqxFdcNDOu7yitcvDOrgqy0oxYzHr8fpk2tw+fX2Z/aSNI4A/ItLl8aDQSe47WU93QzpETLdxwyazuY21qUlu+2Gzw97+r/woSzqiWkYo651rbA+i0EnqthDcgU9HQzsxJmXh9cr8KjPS2Fhv12kE39E758LF+MBBDV7KLlcRDogx47+2u4KnX92MxaslMM9Lu9vHU6/uBvpWJvuRI5Ocqap0YdGqvPZtJ1+dciqW8xPJ2R47nYFkzTa1uKuudyAo0t3rJshto9/i7fRYSv7eJdSyhomShPoQGvRZ/IEi7u3N8/b0P4z2Gfs2dYFDdxx47Fv0oL4fsbJg8WTWELligOjkmTRr22hfJIm7l74knnuCJJ55gwYIFnHbaaTz44INs3ryZDRs2DOX4BF1IxMIet3u9qAh++MPOAjGPPUb7vfdxYMoZ+BadT05OnBVHh4lYi8JYtIoONfHkGmSnm9T+c0EZq0nPlMIM9DpNvxSieH8v2SQidGX7nmqCQQW71YCEKmDTUHMlm1q9pFn0uLxqNTtjh/B1un0EG2Q2vF/KJWeVhOf41NYqlr7wFyxfvgJWrhxVlstUYzTLSH9QxmbWEwjKyDLodBry0kzUNLnweIOcPG1c+L3xFBjpbS1ev+Uo6WnRqQaR908899ZAPT6pRmmVg79v2Eer04cvKHOipo3DJ5q58ZLZfYbBAil9fPEa8OK5Tq9vO47FqMXaUeBF/dfH69uOs/KKub0qE33JkUglxOn2dRTdUphcmB7+rp7mdyzlpS+Fqut4jAYtNQ0ePL4gBTlWHE4vtU1u8nOs3T4LPd9Ps0uy2L6nmvVbjvZ7HsQ6lp6KksmK+nqI/srCePZnvc6ds0sokds6PXlHj3YqeTk5MGWKquSddRZcf73qyTObexzHWCFu5a+xsZEFCxYAak8VWZZZsmQJt95665ANTjA09Nu9bjSq4Z+XXca7j75K/tsbOPU3P6bu5NMoX3wRlbmTkr75jlegjASraCoRSwDHs8D7gzLzZ+aiiUh8HmgFupTIC+iD/t5bPbXB+GBvNS1OL/UtLnRaDWajHrtVjy8gk2k3Mn1iBu/uqkQOyngIYtCrCp3FqOOzw/V4fUFsZj3zDmxn6rpnee2yr3Pa5ddSIhS/IWU0y8jcTAsHy5opyLEidXSf9vmDWE066lvc7DnSEJX7E1ltsjd6Wotj3T+x7q33dlfw2eHOsUybmM6k/PS4PD6pJhc2bCulprEdi1GP1ajDH5CpaWxnw7ZSvvfleT0eyzMb9qOgUJBtTUjrjaE4J/EY8OK9To2tbjK7GAvMJh2Nre4+lYn1W472KkciPydJEhISMydlkGlXay30VfCrL+WlL4Wq23gUtU5IIKCAonq8Pd4Afr+MrCg9esV6ShGKPH+P/OszvP4gLq+fbLuZZYuKWTyvqMdrFOtYeipKlp9ticr1HYowzg92V5DfVkfeiVps1Sew1VRgqijD9qtamDZR9eRNngyLF6stzYSS1ytxK3/5+flUVFRQVFREcXExb731FpmZmej1+tgfFqQUgwkROJxeSPN/38Sx9jaKPnibU57+E7NNZvaeei6cMylpN1qqe4RGIvEI4HgW+EQKgWTkbfZnUxTr3or8Lr1WQ6PDQ362JSqpXyNBIBAkGFSQ5SAS4PL4SbcZKcixsPdoI4qsoNFK6kbA01HqXAKXJ4Di9TJp7aNkHD/ImqtuRppcQkDcB0POaJaRZ84tYPuealxuPxaTHn9AraqYbTdyot5Fu9sXnfM3Z2BNxWPdP339LRQCqNdJ6DQSHl+ATw/V4/EGSLeZYnp8En1/DFaZOljejNmoiwqtU1A4WN4cHnPXY3GUqX+bNiEz/FrovUNR4XIgxGPA61Z0JdBz0ZVsu5l2ty/s+QNwewJk29Xvf+vD42z6qAKfP4hBr8Xl8vLNK06JKUdCilRoPup1ml6Vrkj6Mi73pVB1HY+sKGTaTXi8QVzeAHarkfG5Vmob3XGlSnQ9f42tbkqrHRj0WgrHWaPCY/tSAPuWc+2UjLdH3YuRub793WdGzsFxaXqk0mPs3PIuaRk+cppr4OhRlnxygGB2Nu0FE3EWTKD+pFNpPf9yyoxZ/ODGM3v8XkHPxK38ffOb3+To0aMUFRXx3e9+lx/+8If4/X5+9rOfDeX4BEPAYMIfQ4uUxman9IIvUbr0ciyffsyMj96GZcvg4ovV2OnJk4fhSDpJdY/QSCSejVI8C3wi8xEG+109edoiG6WHNhW9VeyMtSnq697qusH65EAd7R4/2RkmNJIUTupvcXrR6bTo9ap3xeuXMRq0FBekYbcYkaQ2THoNHn8QRQJFUQjKMm5vgCxPK4sevB+3PZN/fe1nuLRGvDVteAbZ9FgQm9EsI0vGp3PNBdN44c1DtLb7sFsN5GdbKK9tY8bEdHx+JZzzl2mXeH3bcXYeqOu30hNLNvX1t8gQQLNRT2u7D7fHz4nadr5+6ZyYHp9EkjBlSun9eU8yzxcIdistP9jWG4lW/uIx4EUVXWn1cKCsGb1OQlGUqHO5bFFxhxKjGh/cngAub5CvXFDME+s+5dVtx9FqJPQ6iUAgyKvbjgNw/sLiAVVcH2yqSG8KVSg33lHWjC8QpNXpQ6fT8IWZuWGPo9Plo6QgI65UibpmFzqtFPbI1zS60Eqqz14jaaLCY3tT/mIdR6zzEte5CwTgxAk4doy6V7dx3okyshqqsNTX4MnIpjmngOMTislZthhuvJEth720BqSoueN0+ciOeC6Ij7iVvyuvvDL8/yVLlrBjxw78fj/WJDcqFAyMgYY/dtt8ewLUTJzNKTdeDloPrFsH3/2uWhL36qvhvPNgGCzfuZkWKuvaosIQ4ik5LuideMtHJ0QIdDCUeZvdymfXd5TPnphBwbhOxe702Xns2FeLzayn3e1HQqG8pg2LSR9us9LXpqi3e6unEuIWo46KWieZaSbaPX7MHWF0uVkW2tr9SIAkaTh9Th7BoII/KDN7cjZHKxxU1bWhADqDFhSY56zgnPUP8fEp5/L52ZeBJGEA/IEgLk8g5vkRDI7RLiMXzyuiMDct6t7z+mWKx9vDId3NbR72lzYiy3DSlIHlhH9yoJY3d5SHS/eb9JrwZ/uSW5EhgGajDrNRh6zINLd5+xWp0F96WrMSoUzNmJTJniMNSJKk9lX0y7i8AeZOzen1WELFSSKJ5/iG03jadQ9x5EQzRyocYWVl2aLi6KIrdU5kWaHR4UWWFUqrWsNtBUKK0OvbjtPY6ibbbuYrF6jhjH/+x6cdip96TjQ6IBBk00cVfPOKUwZUcX0oUUKavSSRZtHT5vbj8vpJV4z9NnKGqvNaTXosJh3+QJAAoNd3zo9QeOxAiee8hN8TKrxy4GPY0FF05ehRVfHLzYXJk2lvNdB+ymlUjJ9Ee954ZIMRWVFoaHGz4JJTAVhod4iifQkibuVPluWo5zqdDp1OhyzLaEQuyZih7813uloc5pvfhM2b4Z//hN/9Tm0mfcUVMH58zO8fKBPzbLy980S/S44PByOlwEBX4t0o9UsI9MFQ52123ZA1OTrKZ7d6KcztLJ/9+rbjlIy3Y7MYcHkDtLv9NLZ6Katpw2TQMW2CnXGZvW/o4ykhDmA16fH6A+EKblaTXg2fM+rRaTTkZVnC4UpGnRabXR2f0+Xj9Nn5NE/IoKLWSUubhyUHtnLRwXd4dOkNfJJZgqmxncw0I/6gTEublzaXnzUbD4yYuTcSGQsysuu9t2bjgag1oqLWiUaSSLMZ0EhSv5Wel94+pDbtlmUCskKD181Tr++ntLKFn9zQd0/FbLuZplY3/oCCPxBEr9Oi10nhEEBIfFXE3tasdrefksLo4+2vMnXJWSU0tnhwOL20u/0YdFrG59i45KySXo8l3WZEQel3G53hDKeP3EPsPdrAsUoH6VY9GXZTOBzxkjMnUdNRObKpzUOr04skSeRmmru1FVg8r6hH75VajCTaC6rVSvj8wfA4UmUt3L6nmoJsazhcF9Sm7k0OL3qdtv8eRyXCAayATisRCMpEuo4jw2MTRqiFwrEIBe/YMSgr6yy8EsrJu/FGNSfPpBpUa7qsJdB9DoqifYkjbuVv9uzZSL10qt+/f3/CBiRIfWIumjodnH+++igrU9tF3HADzJ2regPPOivhVQfLa53MmJRBk8Pbr5LjQ00iK5sN5L2DYbhbYwx16FFX5SvkaetaPrux1c1JU9SG6i63n/oWD5IEEhAMBtl7tIm5U3teCyOvt04r8fH+Wt75+ATzpo1Dr9PgcvvDx1WUa2PvsQYsRj2yopBlN1LfooaYNrS48QeCyArkZ1t6zHtKtxkxBXzM2fRXSgIt/OP6O6j3m8n2qQprVUM7AFqNhD8o8/H+2m7VAgWJYyzJyPd2V/D6tuPUNLnwB4JMGW9n2qQsWpxetBqJotzOdiL9UXpe23YcZBl/UN2kajTqfnLLp9UsnFvRZ4jaabNyWfPGIQw6DQa9Bo8vQKtL5qIuRTESuXnsbc2qb3ZH3evQf2WqZHw6N1wyq9e1vqdjuWHhJD45UBvV9PzSRcUxj28wa/1g2lHc/uB75Gaau1Xr/Gh/HSuvmBvOM9VqNeRkmDEb1C1rZFuB3n7foNfi8weQJAWlQxlSFAWDXjfgcQ8VPXleC8bZ0Ou1/OjaU/v9faEIkaq6dto9fnIyzKpM8cvIihwVHtsbfZ4fWYbq6k7l7uhR9VFWBllZqoI3ZYraI++669RKmzHqQcQ7B1NJaR/JxK38vfXWW1HP6+vreeyxxzjvvPMSPijBKGLSJPjxj9VQ0I52EaxeDVdeqXoEs7IS8jN1zS4KcmxRVeYGWlEykSSysll/3ztYhtvKNtShR12t2yFPW2SxAJdbrYQW2ri1OL3qHyTQIKkenGCQA2XN3L92VzehGLre/qDMwbJmDDotaRY9xyod2G1q64b8juPS6zTkd1Tla2hxU5ibxpTCdD7aX0e7O4AkSeRlmSnMTYv6jdA1cR05xoX/+Av2Baew8dwfIQVgckDmQFkzOelmqhudeLxBdEYd2R15I5HVAgWJZazIyMjearmZJlravBw84cDrl8mwGcmyG8N5StA/pcfp9hGQQ4qf1PGvQlAmZn6Sxy9zUnEmJ+racXsDmI06phVZ8fijPbLxRiHEoxj0tmZZzXqcHcrJYAxnscba9e/v7a5gw/YybGYd4zJNuD0BNmwvIzfL0ue5G+haP1h5FKtaZ8n4dI5WtFDbpOasKYoS1Vagr99fOGsc7+6uRkJBklR9RQEWzhqXtKqvvc2rRHteQ98XChEGOFjWyInadprbvFHhsb2Nc927R7AZtUwItqH7+DMOvFxGhtlFZn2V2k7Bbu/05J12Glx7rarkWQY2ZuHVG17iVv4KCwu7PV+9ejVXX301X/7ylxM+MMEow2SCyy9XH/v3qyGhV12lWoauvhrmz++WqN4fcjMtVNa3dXr++lFyfCgZSGWzvjxew13VdDitbEMdetTVspiVrnraJuQZoyq5LVtUzI59tQAEZQWdFmRF3YwqsoJWIxEIyD1uGkLX+/OjjRh0WrVCn6Lg8gYoyLbiD8jYLIawcLsxQriFBG7JeDsnTcmOqqDWLez16Gfw8h/hB9+Gq66i5oVPyMkwo5EkZk7KpKLOiccnh0OlzEY17zayWqAgsYwVGdm1t1qW3YxRr0WSpHBvtf6GHYawmQ00eN1RgSGKAloNMfOT6ppdTJuUxYzi7PBrAzEA9kcx6G3NmlyYHs79G86NbF9972IV9hjIWh+vPAp5ikN5eaE2A7GqdULfbQX6+v2CXDvFBU4qap0EFXXdLsqzUZBrjznuofAK9jWvEh1l03NIsClc+KgbbrfaE+/4cSgrw/X2x1xcXoa5rhq3zoQjtxBP0UT25E7lnK9fpyp8Nlv37xkkwqs3fMSt/PWE0+mkqakpUWMRjBVmzYI774Qf/Qhefx1+/Ws1vufqq+GSS3pcVHoTHiF6zfkbYMnxRBGPUtofj9dormo61GGmXS2LhePSOHNOQVS1z9AGLbSx0GokFAXsFj06rRan248cCGLU63rMaQptBts9/nDDW39AbW5vMetpaHH3Wq0tro2ULMMTT8DLL8Pvfw8nnwz0XPBIr9VgNGjCih/QrXpgKoU+jUZGo4wcaG+1eLi0o3qjLKseP0VRlT+7zRAzPylRxqP+GNj6WrOSsZHt69oMBfHIo/d2V/D4+r3IslrSxO1p4/H1ewH6rNYZoq+2ArGqty6cU8CZc3vuL9vb5wbjFexrPe1rXq24aGbCq4p2+77TJlCiccOHB8JKHsePq4+WFpw5+ZSbsqix5fC5aSKNpy/AW1CEYrXhD8h4/UHysiyc0yFzBCObuJW/W2+9NSqfwePx8NFHH3H55ZcPycAEiSflNnppaWqowDXXwK5dqjfw4YfhggtURXDGDCA6zCgzzdhjj5ryWiczJmZ0bn7NBibkJT/nLx6lNN5NS2mVg9pGFwfLmsmwGSnKs5GZZhryPnfDxXCEfcS7IQu9z6TXsOaNQwSCChqNrObhyQonTcwIv9cXCPLB3ujefXqtBp8viCRJ+AIykwvTY16nmBup1lbVaOJywTPPQHanhyNynvkCQSrrnfj8Mh4fGA0ustPN3aoFjqSG1yOBsSIj4/HWNLd5OFbp4Filg+ZWD5csKolrTl25dDqllS1s+bSaoKx6/Ow2A0a9jmWLivv8bFdFrLreSXltG3lZ1n4VO+qPgS3VQtXiKXrTGwPZH8Qju/759mG8/iBGnRaNRkKWFdzeAI+u28MXZuUxtSidmsbewxFLxqdz+uy8bsbfeMIlB/K3gUbXlFY51HYNTi++QJATNW0cOdHCDZfM6rHgF0TPq4QZC1wuKC+n5PhxSsrKOpW88nLVsF5crKbjTJqkFl4pLqZUNrNuyzFsZtVIufPDMry+IPkGM2ZJwqDXiqrRo4y4lb9Jk6Kt72azmWuvvZazzjor4YMSJJ6U3uhJEnzhC+qjsRHWr4ef/EStDnX11fzniCVmKEtds4uCcbao1g5DnfMXj7CMRymNx+MVun5ZdiNtLh/tbh/7SxuZVGBHq9GIUsdDxJVLpwOECyjodWq/vVklquLV3OZh79FGrCb1vnK5/SgojMs0c7TSgd1iYPqkDPQ6TUwvZp8bmcOH4dZb4eyz4Yc/VIsqRRAqeFRa2UpNoxudVlIVQb9MQ4ubQEAmy26OqhY42BDiWN74scZYkZF9eWtCG+CqBicWow4k2HusgQaHu1+FhjrS/gjKoMgKX182i8XzivpccyMVsc7+nGlx9eeMJPI+bG71UFHnxOH0km4zUlrl6Pb5VApVi6foTU8MdH8Qj+yqbXJh0GnQatVYXgWFQEDG3xE673L7Mei1vf5WaZWDHftqo8Lhd+yrDedC96bwZ6YZaXR4wjnWXcfW27i7ehOb2zycqGmjqc0TPuaexrnh/VKqGpxYTWrOp98vU9XgZMP7pXzv6nmJTWuQZait7fTghRS8sjJwOGDChE4lb/FiuP569f+9tJ3ZvvFAlCwwG3X4/EGaWz2YcqwdhWIUrOahb9slGB7iVv6+//3vD+U4BEPMcOeKDZjsbPjGN+DrX4f33oN//pPrNrzHkZPP4vP55+HIygO6h7IMZ6lqiF9YxqOUxmM9jrx+FpM+vCFpcnhZecXc1LqGAyRVDRS5WRbysizoWiUsJj0ShHOajlU4kCSYXJgeDgMtQL2/rrlwRvia2uyGHj0CkZtZvU5DQ4ubAqI3JJe7DsNvH1YNIl/8Yo9jDBU82l/aTJpFj16n5hoiBQgGZVrb/eRn21i6oCg8hsGEEMfjjR9rjHYZGTlXe/PWrNl4AIfTi9Wkx9DRU8zrkzlW6eCPz+/ijDkFfXqUfv/Mjo4iHaHqjOBo9/PhnioKc9PiXh/qW9wYdBosJn2/W06EFAqHU23vopHUrISsdGNKrEd9EW/Rm64MdH8Qj+zSabVqG5SOFnNen9pqQavVoJEkmlo97C9t4qN9NRQXpHczIsUbLtlV4Q8Z4vxB1QDWdWy9jTsyhL65zYPT7cdq1JJl73vOHSxrxmLUhee9Qa/F7fXzwZ5q/AG51/W9T8NtqHVCqJrmsWNqsZXycrXgSqQX75xz1H/z8/tdTb2rLMhMM6HRSLS1+3B5AmqeZY4lKl0l5SLJBP2iT+Xvn//8Z1xfcvXVVydkMIKhY8Tlimk06mJ2zjm8nLeOaR+9zVVrVtM4rpA9885lb9HsIe3fFIt4hWWieuVFXr9Mu4lMuyncAHW0LLipaKDoquS4PQFqWz1kpBlxeQPhktqR1Q1D91Wsa9pV2XW5/UhI+APqZiUvTc9Vn/yb7E8/gocegunTe/2u0Dxze/2YjOqy7gvIBDsayfuDCiXj7WGL+WArzA2msMRoIpVkZGlpKbfddhstLS1kZGSwevVqiouLE/PdHXN12rFPmVpznHatkVatidPPmEbB5EywuKC6mqbqRnz+ANaOOeX2BmhxekABry8Q1fqkp1DQ9z6rQULtxxYiGFR477MaCnLtMYt0hO4nBbWs/4HjTcwsziIzzRS3vAspNI+t20NQVkiLCLF3unypZzCNoK7ZRU6WBV9ACef+5mRZYh73YPYHsda5kyZnsetAHZIURKfT4A8EURSFcRkmymta2X2oHp1WQqvV9GhEijdccs3GA+RlWaLmR8gQ11OedW/jjgyh9/oCyLKCwxWgeLwhtkyKqFnn9vppcfoAelzfuynKDodaDO/QIThyBOfeA7gPHqHVlIZ/UjHjTj2J7MWL1bZZkyYNuKpmT3TNGddIqpKem2lh/szcqDxLSF1DrSB++lT+1q9fH/V8165d5OTkUFBQQHV1NQ0NDZx66qlC+RsBDLdnLJGcvew0nsLGtjMuZU75Z8z5cCNn/OdZTNdcDXXTITc37tyLRFmr4hWWiVJKR/L1i5dUNFD0rORAa7uf27++MNzkOpJ4r0tPym5+x78rTs2G225T82KfeUa18nYhymvYkWto0Gnx+4NoNRq8vgBGvQYZNYyn68ZlMHMzsrCE2+untd2PLxCkvsXdY2jcaCWVZOQvfvELVqxYwfLly1m/fj133XUXf//73xPy3aG5qs3KRGmoxF1Rjae2iR1bt5Kh+JicJjHBrPCVslrcTjdeoxmfxYZDMtCuN+M2mPEYLegyM/AYzXiPWtm5OwfD2TMpnFxAuQu2l7WrjaglNS8s1OpBktSqu72tD0crWliz8QAf7K1Gr9UwuTAdm0mPzx/EoNNSUescUG50u8ePThtdgTrZ61Es9FpNuHeopSN0b9+xRuZMzunzc0MpX665cAYtbV6qG9pxe9SefRaTjjmTc/j4QB16neoB1Go1PRqR4h1bouRHZM/g+hY3ZqMOs1FPa3tn646evnPGxEx2HawjEPAQlNUCKSBROM4W9j6H1/ezCuHAAXhzB+zbpz5aWtRieDNmUDt5Fv+xnkTgK8UYM+zhtfmKeUOjXHWtTeD2BAgEZcZlmntUVLfvqSYYlCmtau0sZGc3prRhRBBNn8rfM888E/7/L3/5S84//3y+/vWvh197+umnOXHixJANTpA4htszlkhCQuD1bcf5cMI8jpx0JldNUJi7/321YMwXvgBXX03Jaaf1y9MyGGtVfzx6iSgIMJKvX7z0VLEyy26MCpkdbnqqntfS5uF4dRtfuvUVdFqJcRkm5s/I6/d16W2zouz6GNfqp/jslCV8cNrF5G6v4sy5StSc6clrqKAwIT+Ng2XNmAwSWq2EpNEQCCqcVJIe/v5Ii/lA52ao6IdGI9Hg8KDtiNEz6LRjygKcKjKysbGRffv28be//Q2ASy+9lF/+8pc0NTWRlYBeqqG52jJlFts0OXyub0Y7RS0eqwF8ATUfKO9CC/j8aNrbyFR8OGsbMfvcmDztjNMGyMBHursVbX0lhfUHcO96E6c+SLC8liVeF/Na2nEbzLgNFlxGCy6TFafegsdkZZYymTK3RLlbS7PWhJxmx5ybRbPGTF6WBUVRUFA4UNbM+BwLVQ1+9DoJp9uH0+XrV9Pyde8eQa/VoKDg8wfDHkS9VpPaBreOUNnQ/6HjeYQO25MBdCjlS8n4dL595cndwtv1Og0ujw+DXktQUci0qvlkXVM64h1bohTYrj2Dff4gep2Gdo+/z+88ZVoOO/bVIHd0lJdlkCSFIpuGzMOfk37iGGllRzAfOwxGvxrJMXu2GuH0v/8LEyeGwzXf2ngAb7pv2KJgIhXeUG0Ck1HHofIWdDqJ2kYXE/Ns4d8O9V406rVhI0NZTRuejpBeQeoTd2DwK6+8wg033BD12vXXX9/N8ilITUIbPZvFQEOLG5vFMKI2aIvnFbHqe4t57PYLWfW9xSy4/Gz46U/htdfUXoF/+pPaN/DZZ9XwiR6I9LSELHE2s57te6r7PZ4z5xbgdPtxunzIihLeXITCIhLNSL9+8TAxz8bB8hba3T7MRi3tbh8Hy1uYmJf4fkKlVQ7WbDzA/Wt3sWbjAUqrHD2+bjHpcUdUOKtucNLs9KMAep3qoahscHGgrCmu6xL5/bWNLqrrI6rRKgrj/7OOs9c+wPolK/jsnMvJybKGjRSRY3xs3R6OnGihtKoVR5tXzQU16ggGFaZNyFBz/mTQaiROmZrNpAJ1PF03LiXj01lx0Ux+dO2prLhoZtzzadmiYlzeII0ODxpJzWMNBBVmlWQN+J4a6SRTRlZXV5OXl4dWq+YbabVacnNzqa6Ovg6hRvSBQICVK1eyYcMGQK1MunLlSjZt2gSoLSpWrlzJ22+/DUCaIcgLj/2Ko/t3cbi8FfxOanc9jbvxCP6gQtDjoOyDJ2mqPEiLJ4hik3jn45c4bJConz2f/ZOn87zjEG9OmcM753yZDedcyp0Ghd8v/BI3nfa/3Lz461wzcSr3fuUWVi+7lYe/cAlPW2DL+BkcyZuCdZyBve+8jH/3TmYd3MHSD17kv9beyWWP/IwfP/IjLr71Wlb89nqufeoXXPvynzn5sXs49ambOW3zi5z66btYN66h7bm7yT5xAKqqeHfDBlZ+61s4ner9t2nTJlauXInH42H7nmqqj+zk4OZH8frUe7/x+Me89NdV4TV+3bp1fPe73w2f1xdffJGbbrop/Pz555/n5ptvDj9/5plnuPXWW8PPn3rqKW6//fbw8yeeeII777wz/PyRRx7hnnvuCT9/4IEHuO+++8LP77//flavXh1+/vvf/57f//73+AMyc6Zkc3TnOvZtX4dBr2XOlGy2bniaBx54IKzYvvbCwxzeuSG8tvz5978mWLM9LF82v/IYNHwUXg9uvfXWKEPHzTffzPPPPx9+ftNNN/Hiiy+Gn3/3u99l3bp14ee/uOPHfL5rCwB2i459bz9C+aEd6HU6ggEfVR/9DUflHgDaWtso3fZEeO5lWhR2b3qI2rK9NLS4kYIudm96iOrjnwNQU1PDypUrsQarcLr9VFVW8MLjv+LQ/j1UN7Zz/PhxLvnSCn732CuUVjk4cuQIK1eu5PPP1c8fPHiQlStXcvDgQQDk9mpeeOxXNNSeoCjPRmPNUXa8/hcUTxNOl4+jhz7nP8//loqKCgA+/PBD9fsOljGnJJOiuk8ofu0+rv3weX664fcsv/cbGH/3f+iqy6mcfBIbLriEb8+YgfNPf4Kf/IRNOh0rf/1rPD41gmTDhg08+/C9GA2qxv75ri3844lfhQ13A517IdnzzZvv47r//n5YnjzxxBO89OxfKMixMXdqDsGabRz6YC1l1a24vX4aD73BZ5vX8NTr+3lvdwX3338/H7+zFo2k5jUe2rGO0l3r0Ujg8gRYvXo1999/f/j377vvPh544IHw83vuuYdHHnkk/PzOO+/kiSeeCD+//fbbeeqpp8LPBzv3Vq5cyauvvgr0f91raWlh5cqVbNmizt2GhgZWrlzJ+++/HzX3PvzwQwAqKipYuXIlH3/8MQDHjx9n5cqVfPrppwAx597nn3/OypUrOXJENXZ8+umnrFy5kuPHjwPw8ccfs3Llym5zr6amBoD333+flStX0tDQQCziLviSk5PD22+/zYUXXhh+7Z133kmIVVEwPKRSVbL+8tLbh8IVF21mA5cuKlYrMVoscOWVcMUVsGeP2i7iS19SrWlXXw1z5oSbxycyrLA/YaaJ8jaO5OsXDz1ZHyfkJ75dR2/X5PTZeezYV6uGt2klPt5fS32zC39AJjMtSEaakcZWLwA6DWgkDRodyL4ApZWtTMzvHprZ9XcjS4HLsqpMAhSlaZn19F8w1Nfy1nfvwZ+b36PVF9QqdS1OL3arGtoW8nRU1rcTlBUm5FkJ1svIimq19ngDUU3sE2HND3njH123F58/gMVk4KTJ2UzMtw95ld1UZTTLyAWz8/iXrODxBvAHgmEPk9JRllPSAAqYjDokg5a6Ji8mg46TJmejs1uQ3ToUWcEfDOILyORlWTjoDVDd6EJn9eLrqP7Y5FHIyMmg1p9DW1oGjYUzWHrWycw42cgtP/s14+dejtYyjpbaozQefpusWZeRkZnLSWn17Nn0L4qnnEe2Vov3xH7wO5hjNbBwggZneQWFpUcx/fa34HIxv6yMCQ0NKIeOclxjweJs47/aGmm959fkNsic6mrA3FjLSf4qTrgMOFxOJDkYXrd3J/Vq9E6or2wkbm8As0Hd6oUMoHqdBqTOtaW+xc1Js0zh3LjbP32RrIg85sFQWuWgocXNOG9AXW+dbtpcfqYVZXDxSXP46/pPQVGrgLa7fbh98oB+Oz/bysnzpvLvzZ/i78h31iOh00qql9EbYN27R/hCibbP75k7NYc3ZXW9LMo1kpdloZzO0Pmz5xfyytGO72huJm33bpbs28fMQ6spaqymRYJP/R6Mp09jo/UCDnhaaavZyfkXXUtAMjHeUM3eTYf6HINBr8Ht9qNP66yuGTbcxbm0hjy8W3dX0ljt4O8b9lGQbcVq0tMalMP7EACTQYvL7Q/Ph1anj3FaDSaDDj8SOp0Wi1HL69uOkwfodRpkRfWKK4AsK53VQJPbXUsQJ5KihIME+mTbtm384Ac/YPr06eTn51NdXc2RI0f405/+xOLFi4d6nDGpqKjg/PPP56233qKoaOwUHBjpxFMu/qW3D0WVr/b5ZXwBmRUXTg+X4o+ipQVefRX+9S9VObz6arj4YtZsLe8WFhJ63lvj7cESygmL9Zuichbcv3YXORlmNBG90kJFbX507akJ+53erklpVSsl4+34AzIHypox6DQoikKry4fHF0Sv1aghjhow6tXNVDAo4w+qitY1F07H5fZT0+giO92EPyhHXcsH/7mbPUcasJr0BGSZljYv7Z4AE10NfGvb3/GdNBf7PT9n/Qcnej0PodCm0qpWNadJr1VLcrd5sZl1+AMyzU4vOq0GjQSBgIyMRHF+GidPG8fEPFtUU/vBzrN45/dYIJkysrGxkYsuuogPP/wQrVZLMBhk4cKFbNq0iaysrITIx9Aa9dI7h1EUBavZgMPpDVfl1GgkJuXbqW924QvITClMp7XdR1BWyMk0UtfkwW4xUFxox6jTsmV3JSgyba6AGj4aEbI4f8Y4pk/MippDK1e9QWaaEY3UGbBU09SOy+1n+RJ1E9vc5uFYhQN/UI5ZWfT4sVr+85/dZAY9pAdcKE3NyM3N2LztmF1ObL52DO1t6J1taFtbMHlc5ORnQkYGZHb82/X/XR9paWHjY+Q5HKp1PtRQPSgrKIqCJEloNRLfWj6HxfOKhmSNjXVMsdaIWHuASGNdZNhnSBHv7fcHszb1+J1pGjh4UM3V278fPv9c3WvMng1z5/KGy05l7iQMuZ35laE0hrxsS7+ud6xj7u/nPzlQh8vrZ87knHBxsshz0fX9r245il6nJSfDhNmoKqCyItPc5uWx2y9kzcYDVNa3dRpqTXqy0o0Ujksbc+v+SCVuz9+iRYt488032bJlC3V1dZx77rksWbKEzMzMoRyfYBQTb7n417Ydx6BTrVAAJoMGCPDatuM9K38ZGWpFrOuugx07VG/gAw9w8Vnnsi7nFJyTSoYtby4eb6OonKUyXEVtersmja1uTpqSzedHG5FlheY21UMnoeZzFI5L4+XNR/H5A/gCQRRF3TgpCui0EhpJwh9Uezs5nF7mz8yNupahUuBBWaaxI09uQcUeLn3vBQ5dcQMn3/JNtQrnwcZez0No7EV5Ng4cbwJAp5No9/ixmLQ4PQF0Wg0GnRZQx5aTZkSSpHDuTCLn2VjIRY2XZMrI7OxsZs2axWuvvcby5ct57bXXmDVrVkK9jqHIA5New5o3DhEIykiSWo0eIMtupLXdRyAooygK/oCM3WrA5fHT6gzwtUtmhQ0PNrsBvU5LuzuIRgOKIgFKR3EX+PhAPR8fqGftpoOcOj2bu7+9uMfm8gathF+vDbde0Ws1FOba4prT7x9uRlNQQNBioKnjNafLhz+gFuvotvE+ZzI5dq264Y98NDerj9LSzuehv7ndkJ4OGRm0Giw0OBSmpmcwNSOddo2RPf8xYlo4jYKSfFVRtNk6/9X3v6fap4cbwkVqZFlVyHVaiU8PN7B4XlHC19h4ZNdgI276qgIN9Pr7XX833n59ACVWKMlwQM0BeGc/PHxA7UE8bZpalOWMM+B//kdttdCRpze1ysGed49g65iLLrda3GYgrZgGWyug6znzB2XMRh0Vdc6w8tdX/rfVbECvJaz4Abg9gXCFdXXdb6dkvD3qHhmqtBdB4olb+QPIysriS1/60hANRTDWiLdcvNPtw2KKnqoGvQanO7rKYjc0GnWRPuMMqKsja906vvrCA1QZM9hzyhJ0i8/hwoVDq2DFI2xTscVBMhguRaK3a5JtVwunNLd5aHP50Gk1aCWJgKyw+1A9+441kZNh5ERtAKljoxryVBTmqM1zK2qdHa0V5G79xQCQoNXpR4fChR+9xuwjH/PMF7/DlLPPjKsK5/Y91ThdPjLTTMwszqKi1klLR1+17HQT1Q0uQMGvldHpVIW0ze2npsnFY+v2kGU3JnSeJaqg0WghmTLy7rvv5rbbbuOhhx7CbrdH5YQlilD4fTAo4/QFwx47u9VAToaZ8uo2/AGZrHRTuN+ZxazH4fRRXuuM8grsOdLAgTIPOq0GRVaVvkCou3sHCvDxoUa+fs9/mFmcRVVHmHSoImFQkbhyyRQ8frnf8683paShxd33nLbb1eIcHfTp+fL71Rz0lhbe//dugg2NpAdc6Nwu7O52bA3VNL90gIIcAzid0NbW+dDrVUUwUimMfPTwWt2nB8i3WMGehqxVZabXH+BgeTPQ9xo7EK9kPLKrLxkYjwG4L+Vx+55qgnKXqpPpatXJUAhskyOiX59JR1ZHy46wkmoKqt680GP/fvWazZypPs45B1aujFL0eiLRa2FlXRt7jjTQ2OruVnAlFl3PmdWkx+sLhIvWQN9K//SJGew/3qTm33fcay5vkK9cUBw+1tNn53Xz2I7VdX8k0qfy9z//8z88+eSTAKxYsQIpIlQgkueeey7xI+vCUPYwEiSHniopdq30BWAzG/D4Ah0ePxWfX8YWYQGOSW4ufPvb1H7xasqef5XJb20gb+NzGJZ9EW64BmbMGNSx9EY8Ck1/LaOjNUR0uBSJyGvS6HBz4Hgzbl+AbLuRY5UKbm8gvNb5AjKqR0JCksBs0GMxafH4VM+fBNgsetKs6jwOlYe3mvQ0t3moqHXidPuQJImCbAtHKhy4m1v56tZnsfg9/PnSm0kvzOtXFc7Q2FudXqrqnbh9AdLMOo5WtIYV0qAs43XLGPVagrKC1aSnxemlzeXDYtL3aP0dKKM9F7UvUklGTpkyJarwQaKJDL9PtxnC4fdnzs6lodVHY6sbs0mPwaAhJ71zPfP7ZdKtBo5VqgUnQnP6tFm5HCxrIhhU0HXkoHVV/kI0tnrJspsoyLbi8QW6NZcfCH0pJfHO6ZieL70ecnIgJ4cD41rJmXYSjh5CLmd3DblUFPB4VCWwq1IYeq2pCcrKot5z1SelmHwuzD4PQa0Or8mCW2/CYzBD+cuUpKXxNY2JI60K9ZKRgtwcZs6bjHzsKC98VEtdUI8bDSdq2jhyooUbLpkVd//ZEKE1JSSnjlU6qG1qZ2JeGgXjbFEy8LF1e2IagPu6TscqHZTVOPD5ZYKygsPppcHhwuuTOffUwnD7goDLTU5THZmOBk41uZi404GhqgLjH+vApu1U9C64AL7/fSgq6nejdEjcWhhvVFRvdD1nRXm2cMpBT/nfPVWP7uteK61ysGNfLSXj7Zw0JRuX2x/VQzZeRuteZiTQp/IXacH88pe/PNRj6ZOh7GEkSA49hfFEhhaEuHRRMWveOAQEonL+rj6vuF+/V1rlYN17x7FNP5XqUxbyWWUV+dvfZtH3f4hlXJZaKObii3vsqTZQ4lFo+hOKM9pDRIdDkQhdkxfeOMiug/WYDFrysy2gQHVjO4qiEAjKaCUtOq2EggSKmuTuD8oU5tgwGnTMnZpDc6uH/cebaHF6kRUFvVZDi9OLQR/geLUDg16L1azDbNDT0ubD0FjH1zc+TmVWIc+d+zVknZ4Z2ZZu17s3q29vY29u9eL2BbCZdTicfrRatdKnGponMWNSJg6nj3a3Lyr0Z7T1ihxuUklGDjW9hd9/fryFv975X4C6Pv1hzce4PH4sZj1+v4wvECTNqqe2qZ3cTHN43apx+1k0N59te2rC5fT7wmYxqD38EpRPmohIg/5EbfQr5FKSwGxWH7m5vf5+181z+QWtHK9uxWrUYcGPxtlOsLWVublGzjhjPLS2ku1wkB0OWT0A6z7g8N4yvtjQiM3nQtbpcRstOPVm2v+RDfMnq6Grdnvno2Nss+pqaK3RYkxPI2gwIut0OL0yFknDK5s+x5xmoXi8HaNBQ3mNE48vyJSijLAMjMcA3O06tXvxtLVz0cwi9n2wD0O9g0yNjDnoQ+9uR9fuZPy+ALb33HyvrAxTXTXa5iba7Fk4svJx5xbQOmsqzvlncsKQwcr//a+ovMxUIN6oqN7oes70Wg3jc2xkp5t67dvXdR4bDRrqmv3odN3PTSKilUb7XibV6VP5u+yyy8L/v+KKK4Z8ML0x1D2MBMlh2aLiDmtWz6EFIUJ5fZHVPq8+r7hbvl+sxPGuCxZFhZQuu4Z603WsyHbC+vXw0ENw1lmwfDmcdtqArH9diaXQ9GcTMlJDROO18MXzvkRYC0vGp+Nw+ijItkQZHwCc7gBzp+TQ1OrleHUrZqMWs1GHvcO75/V3hs9k2k1Myk+jqdWrVrTLNNPgcOP1qwVigrJCU6uPU6amodu/jxv//TCfnHo+r5UsxqTXYrXoqG92Y9Brw9c7ltW3p7E3t/owG7RoNVoWzsnicLmD5ja1DcO86eOYmG+nuc3D/tJGHB2K6ljOz0sUqSIjh4N4wu9LxqdzzQXTeeHNwzicPtKtBvJzLJTXOJmYlxa1bjnavTS1+phZnEVNowtZkfH41Gq6kSHVkSSyyXoiIg36E7WR6LD2njbPXn+QDJsRf0CmJaDFkJZJekE+p18yC/o4rr/8/h10GgmjXove78XkdqJpbUXndjLngmnQ2qqGQjY2wvHjai6j282ZDQ4qyuowygGMQT+y34/i9aGTA2jlIHo5CJKEDwlXUCKg0ZKWbiU90wppFr53vAUfGiSDAVmjVb2VioRkMkLbO6DXU+Lz8a3SE7SWVqBpbsKAgjXDhunvZq6pdOJFS1BvwKc34jaYcelNBNPsVE2bjGbZF/DkFrCjWYM3SLjq5xlzCjoV8RRT/CD+qKje6Gluz0k38dH+uh7DSLvO47IaBwfLmpGQmFiQ1k0GJaJy+kjdy4wW4t7Zvvbaaxw9ehSAY8eOcf3113PDDTeEXxtK4u1hBAPvYzTS+3ls2bKFlStX0tLSAsDbb7/NypUre+xjBGovmZUrVxIIqH2MXn31VVauXBk+j8PRx+it9U/y9WWzsJoN7N2+nrJd6/j6sllqVbIufYxKP3mVkyx7+MevL+Wvd/4Xhz9aF9VL5gc/vp1f/+aPtLt9ZKYZ2f3us6z67Z95b7d6/u68807e3PAPLGY1gfn1tQ+wY/Mr6oLl8HDriy/yzMyZ8MorMG8eO7/+dSoXLFCVwWPHBtVL5oX/7GHJRV/mkm/8P77xy02seX131NyLt4/Rk2te59/vl7Jp66c8+oc72fnxTgA8zgaeffjelJ17z77wMv/77W+zY88JjlY62PD6Bv7329/mcHkjpVUOfrbqMS750goe/Odu/r5hHx9te4PNL/0pbAl85Im/h+deaZWDVX94lH8+9bvwhufXv3uI7/2gcy7G20NLDVPTcXjnq+zb9gKgCtjKva+z6921lIy3Myk/jfr9/6Zs96sU5dooyrVxYPs/Kd/9Wri/4863n8Pa+iE/uvZUJubbaT/6Og0H30IGDDotzfvWIb/wJy5f9wBvLF3Bv41tpHs+Zfw4G1qtlj3v/g1t866wwPvVPT+j5fh2rGYDGknDwa1/xVH+Ia9vOx6eewc/3Yy5YyO+899/oa3qEzQaCZfbw4ev/YXxhnImj09nwjgzH7z2Zw5+9gGZaSYKsvQc3voY27ZuprSqlebmFm7+4fd48eV/AyNv3UslkikjhwObWQ31jCQy/D7UR2zngTpmFmcyZ3I2+TlWCselkZtppmBcZ7/O5jYPZdWtOJxeZk/O5ow5+Zw8dRyzJqpRF10Vv4IsdaOZaE/1QPtchsjNVL32kfQ2xkT3au2pb21BtpUJeWl8YVYeU4oy+MKsvJihm2EkQJLwG0y0pedQlz+R8omz4MIL1R663/gG3Hwz3HUXrFoF99+P/dm/YX5hDR/e9Sf++aPf8d6vH0fetIkX73qcN+9/no1/eZG19z7Fb/77Nzz+rVU8ef1dvPnde3ju8ps48X+/wH/X3byy+BrePPNLfLDoMrafspQPZ5xF1peXw5IlqgH23HNJu+0WCtetoWDvTrIPfoZpx3Z4+20eX7mav37jlzx6zc947PIfs/bS77Hpsm+x+YIVtCy7gvKSObjGFVBYkI4vEFQ90kbdkPflHSzZdnNUf1noOSqqLyLn9sQ8Gxu2l4X3RyFlLrQ/ys20UF3vZM+RBj7YW80nBxtQFDCb9GgkDVazIdzqIfT+eOd9b9Q1u8L7sRCJNO4I+ibugi/3338/a9euBeA3v/kNc+fOxWKxcM8994jwy1FMuFfMzhPU1zsprXIk1CqzeF4Ri+cV8YCyG4fDMeD8jfIaJ3qtKewJ0Ws1aHRSVJiEzaSP6mUDnQtWZegFux2+8hWe276d8ydMoNDvh+9/n68dOYIcCMDpp8Ok+C21L719iBfePoysKGg1Eg6nl+ffPISnqpW6ps5FzmTQsuTUIs4551QaGhr4aFN0LyKH08umD8vRZxSj06o9do5WOBhX6EDr92PQd9pxKuvVinrPbzrI7Aot+db2fp7NxPLJwTp8gSAAVqOOZsAXCPKPNw5iNhvxeAPodRqOVThwef3og2oxldB1OnLYEf6u7XuqMeq14eqaNosBg15LY6On2++G5u77e6rwOR3d5m4o7DgStyeAzWQgL8tEaVUrtc1uPL4g6TYDMgrHK1vxBxX0wPGqViYXplNckE5Gh5W2rtmFxahD0hvIy7Rg0Gk4tewAC+tqeOnGu2kYVwSfHsFsVMNGnS4f9Z+Zo/pa+QMyen20Xc6g10ZZfa0mA25PIDzfzUYtvoCMQafFrYDXG8SebSDolwgGFWRURVWr0ZBlN2EyaCkZb0eSPewOKmzfU82C0x2k9SONVhDNaJeRfYXf95QzFFmavmvZ/YpaJxpJIs1miCqMNG9mARaTnl2HGgnpf+PSjZzzhQnhDXsqear7681LZFh7XwVr+hsWO2NiJnuPNSCh9sTzB2Tc3gBzJufE/GxPxxQZ4lrR4EJjMuEHDLY0dONzwOVja4uBFcvPxjOphNe3HedYq5vsSWrEztw49wEzJmWy50gDmWlG9HoNfr9Mu8fPjEmZUdcm3WZkYn4a5TVOrB0K81Dkkycqhy3eqKh4iRVGOjHPFs6PNJt0ai9PRSErvVMORXoeE+HFHq7q3oKeibvP36mnnsquXbvwer0sXryYbdu2odPpOOOMM9ixY8eQDjJWDyMQff6GgsH2mon3NxKxWPbUAyqyL82gjkeWYfdu2LgRNm9Wq6wtWaI+5szpMzT0G7/chMcXQKuRwoVEgkEZrVbDmXML4j6Xtz/4Hu1uHxqNhgaHG61G3dRrtRKnTBsX1fNoqK9Zf7np9++g00rh3nighk7WN7s5e15hePH/YG91+H1zp6qbjq49qOLtU9XbeSjOTwuHvug0GhxOD9np5igBe8mZkzhe0xb+bHWDk8PlLfgCQbLtZkoK7Rh02h7Pa2iT6w/KHDlSw6VvPkNaWxOvXP5d9Hk5SEjkZ1v6vDahax0Zjhp6vup7ar+4yNDQ0Ngd7T5mFWdhMurC9xLQ7f4KVQwVvfkSSzJlZCwSJR9D1T5D4feXLlLD72P1VOt6P277tAqtRmJWcVY4/zR0H9uMWjZ9VIHPH0Snk5iYZ2NifnrKFoRIVtGKRPbYLK1Sm4C3On34gjIGrQa7zcD5CyYMqC9o5PXec6wRvUZtgzOzOIvMNFPUmj2Y81da5eCZDftxONW2PAadlnSbMeztHM5rk2jZG08P5HiJtT/q2revptGFhNrLMy9LVca6yqDBnttU3KuMJeL2/GVlZVFWVsahQ4eYO3cuBoMBt9tNnLrjoBiOHkaC7gx1THYiE37jKR7TnxyP7gvbFEpuvx1++lO1FPTmzfCrX6lJ8+ecoyqCp58Oxug4/VCejMsTRJJUb5XUYVm1mfVxn8tQDoBGUivpqf20Avj8StT5Go44+gEt+l2XCQUCQSUq7COectTxWgt7Og9VDU6ef6MKk0GHghrlFJTBHwjiaQuGK5qV1zqjPls4Lo2aBtVL+4VZed1+J/LYQxbRbL+Tb//7AU4YM/nrsh8wd/p4LllUEv5MX/MvHqtvaBMQuTn4ygXTe9wcdP3+9VuODjpfIxJRsU0lmTJyuJg/My+qrcL8mer9EE/Vx3a3n/pmN1azngybkSy7Maz4gXofl1c7OFrZilYjodepBq6jFa3MnpQVl0KTjLmYrGq3icwhLBmfzo2XzI46dxPzbOzYVzsg+Rwpa9VoUims+EHnmj3YPUDJ+HRuuGRWr9d8OK9NTzLH4fTy2Lo9/W7yDp1RUYkg1v6ortlFQY6NwnFpgJrz9+mhetweP7Ii9yiDBntuRZug5BK38vfd736XK6+8Eq1Wyx//+EdAzb+YOXN4LMXD0cNIEE0iknr7IpGKSiLDJGIKpJNOUh/f/S5UVKiK4DPPwM9/riqAZ5+t9hbMzQ23qZAVJZxgGwwqGHTafp3LbLuZplY3/oCCPxBEr9NiM+vJspujztVQX7OBCOtQaI4kSeHQHJc3QF5Hlct4y1FD/Buens7D0YoWAkEFjSQhKwoeXxB/QMbpDnDvt88Kjz/kXYzEF5S7JSL1dF5LxqfzlSIF6Za7+Hz+uTRccS0/PXl81LmJNbd7Vuy6W30HujlIZLiNqNjWSbJl5FDT17XubU7pdZrwZ0oK08P367mnFrJjX224OXvo9fI6Z4fip4a9a3RAIMimjyr45hWnDHh8o3Eu9rZ5rqxr47F1e6I8RoW5aTGV4q6b+TUbDwxKPoe+L7Rm6zvSFbr2LY1qRh6Qqaxz8sfnd3HGnIK4lKVUaTXTral8q4eymjaCssJJU7KTOh9j7Y+63r+T8tPxeAOcqG3vta1KIoqzpcq1G4vErfxdeeWVfPGLXwTAbFYn+Lx58/jDH/4wNCPrwlD3MBJ0Z6hjshOpqMSzYY53c9AvpbSoCK67Tn20tMB778G2bXD//ZCTw49ypvK8M4tj4yYTNOhRggpBWWF2SUa/zuVps3LDPbYMeg0eX4BWl8xFXZSeRF+zrot3c6un3xuCS84qobHFg8Pppd3tx6DTMj7HxtIFRezYVwvEV44a4rcW9nQenG6/2lAawiG4kqTQ4vTx0we2Mj7HytVLp/X4WYO2M1ymudVDRZ0Th9NLus0YnUv41lsUrVoFq+6i8PzzB3TOIbFW364k0mMgKrZ1kmwZOdT0da17m1NGvbbHz5TXOnu8j7d8Uom+S2l5rVbC5w8OeHwb3i8lM83UL2/gSPVmf3Kglg3by6IqBT++fi/5WVamFKX3SymOVz7Hs8Hvbc2OjEJobvVwoKwZvU5C6SimNZKU965yo6LOiUaCNJsxnNfqaB+4J3AwxNof9XT/pttMfP3SOb1GRsXaS401Y8xII27lD9SKmZs3b6a+vp5vfetbBAKBURXSIogm0aWpu5JoRSXWhjnejeqAldKMDLj0UvUhy7BvHydv3479pY14Nj/F8YxCysZPI3jKPAxZ42ntx7n0+GVOKs7kRF07bm8As1HHtCIrni7V9xJ5zXpavHcfrufkaTnYIt4X69z0FZrT1SLdVznqyO+LJTx6Og8SGrQaCa9PDcGVZYWOOjSYDFoaHR6een0/l5w5iZqOSmahz9ptBiQkKuvaKKtpQyOpqZ5Z6UbWvXuEK08voHjNE/Dxx/DnP8Ps2f0+38NFIsNthtrTPNIYzTKyt2t9rFJtK3KwrAmXJ4DVrGfu1ByuOHcq67ccJb1LyfrQ/OjpPjbotQQCQdXj10EwqGDQq57AvvKgehqfLxDk08MNnDYrL+4N6FBuWhOpVPY0zg27K7GadFGFPZravNQ0tXPK9HFA/AaarvK5uc3DsQoH/qDMmo0HwjnF8Zyr3tbsqMIwdU4MHb0ebWbDiDAkRV5PvU5DQ4ubAtQ57nB60WjUiBborHAryyTFE9jX/qi/MiGevZQwDKY2cSt/O3bs4Ac/+AFz5sxh165dfOtb36KsrIy//vWvPPLII0M5RkGSGOqY7KFWLrsS70Y1IUqpRqMWg5kzh3+ZTmHnzlIm1JYytfYo8zb9g6mvPox57izSGhfC/PlwyimQltbn2KdNymJGcXb4NVlRegw7TNQ162nxtlsMHK9sjcqljOfc9Cb8I1+P1d+uP/R0HmZPzuRQWQuBYBCdToMvoCrOBp2EVqNRcxCNWj7aX8fKK+ZGffbGjjn52Lo9BGWFNJuRdJuBJoeXtIN7ca16lqZlS8l6/nmw9H4uUsWjkKhwG1GxrZPRLiN7utbVDU5O1LZRUdeG1aTHatbj9gZoaHH3+pnI+dH1flg4axxbPq2GQBCtVs35C8oKl5xWFHN96Om3SitbsVsM/dqADtWmNdFKZU/j9Afkbl5SRVG6teiIx4MXyvkDVYnee7QRSYLZkzsVF6OhZ89uvOcqcg/g9PjDhWEmF6X3Os6u9LWmJrK/bE+f6VrhVkLCH5BpaHGTbjOSlW4M5zn2VuE2VZSh/siEePZSwjCY2sSt/P3617/m/vvv58wzz+S0004D4JRTTuGzzz4bssEJks9QxmQPd8JvvBvVwSqlkYLkSHkzZbVOJJ2Jg0WzOFA4i1eBC2Zl8sOTTWoV0eeegzvugPHjVUVw/nyYNw9yc/s9dojvmsUj7HpavEsK7Xx6uKFbrk4iFPZY5aj7M3bofh5Kqxw8+tJnHK10hDdIWo2ExaRHlhX0Ok2PjXSb2zxs2FaKP6iWEZ89OQuNJHHoaD3nfvgasw98wGtLvop08tlc0eKnpBe9ZzSGwQy3ASeVGe0ysqdrXV7jRKeVMBl0Ye+chESr09dnOOiFCyf1eD9IWi3nnFLAh/vr8fmDGPRaLjmtiG9ecQq3P/hen+tDT7/V6vJx8rTodgWxNqBDtWlNtFLZ0zitJh1Ol5/aJlc4N1yROz2nIbrKjp6uxY59tZw+O4/yWicf7K3GatIzuTA9qkjP3mONnH5SftR39+dcxVsYpjf6WlMhPq/kQNflnq6nud1LRZ2TvGwLRbk2Gh2esKxscXrRaiSKcjvjZkaqMhTPfkQYBlObuJW/yspKzjzzTEC9QQH0ej3BYOxYfIGgN4Yj4TekLByrdFDb1M7EvDQKxtl63agORintKkje+ugEAJIEGo163wSDCu8ebOGH37xcLRADlJY3su/f76P97FMmfbSW4tpfY860q0rg/PmcPX4KLzaoPemGIpyzJ2HXY+6bTsu86eOwWQwJV9gbW92YDdqojUuaJVoZG4wCVTI+nW9feTIb3i9l96F6Wto8aDVqBdagopBp1eP2BLAYdeHf0GmljmI1qsVbr9Ww+2A9lqY6vvzWU3gtaTz+lTvQj8umJEb11sjNQmTe4GPr9rDyirlxn8NU8R6CqNgWyWiXkT1d69xMsxryFtGXUq/T0O4NhEM7e5sfvRUUsVms/OOG07v9fqjicSSRxpqefmvetHHoddGteGJtQIdq05popbKncWanG2lq9eLxBcK54d6AzLiO9/YmO3pTTMtrnay4aGZ47JEtdkKVmo+caKa8xonb68ds1DMx38b0if2vxJ6baaG2qb0j38wYl4zrS6EG4lK2B6qUdyvw0iWs0+X2o6DgD6qewN4q3I5EZSgeo99INAwmsr1GqhO38jdlyhS2bt3K2WefHX7t/fffZ/r06UMyMIEgEUQqC8Xj7RgNGsprnHh8QaYUZfS6UR2oUtpVkISIzPqRJAjKna+UVjlY995xbLmTsFw2lXK3n3+7fHx5ip4JVUfhk0+Y8Le/8Z3mVo7nTaYsbzLKrFmkf0ENTVy/5Wi/lIB4hV1vi/dQeaosJj01De0YDVr0Og1BWaa2yU1+jrXfY++LzDQTE/PS0Gs11Da70OsUsuxGZFnB5Q0ytSg9/Bt7jjSg1Uo42/3s2FuDzaJn0p4PWP7hS2xfcBHvzV5CIACnWPVxexRChQ0MOg06nURZTSu/fmoH86aN45JFJX0eRyp6D0XFNpWxICN7qgjZ0ubF75fD3iV/QO0TF9rU9jY/+qsMxdPOpyunTMuJKioVzwZ0qDatiVYqexqnx6cwrchOY6svIjc8ndwsa58Gu1jXorex26169h5rwqDTYDRo8fgC7D3WxMlTYjeHh4HL53jHHc/8GqhS3q3ASw9hnQXQrdflUETN9MRQGgnjMfqNNMNgItNORgJxK3+33XYb3/72tzn33HPxeDzcddddvP322zz00ENDOT6BYFB0VRYKx6WRbjUOSUPr93ZX8O/3j+MPBLCYDEyfmIFEDy3uFDXcsLcxhv7d6jCw4sor4corAaj77Ag1r76L9fM95PzrI6x/Ok5Bdg7OkmnU5Rfz3scTka5ZSvGUfPoiXmE33It3XqaZ6nonQVlB06EgK4pCXmbnWAdjPY/caJQUppOXZeFYpQOPL4DLGwhXQNt5oC5s1W5u89Di9BLwB5lcfZgL9r6F3dnMkxespLGgBKNeS7pRS2u7P26PQqiwQVBWaGjxoNdpSLOohTNiKXIiiT51GSsyMqrIhVaDXqehxelVC9tIaiXd/GxruCBIb/RXGYpVrj5W6GK8a9hQrXuJVip788SWFKZHeehCDdX7knexrkVvY3e6/GSnGfAHVaXfZNCRZoaP9tdx5dLYRo/ByudY444n3/RYpYMTNW1MLkqPO9y0p3MSK6yz6/XSa1WFuTfj7WC8UMNhJIzH6NdT6sWajQdSImqlK/GmnYwW4lb+5s2bxyuvvMIrr7zCVVddRUFBAX/84x954okn+POf/zyUYxQIBkyiQm1iWdFCViNQ8yv8gSC7D9WTbTfQ0OpDUUCWFRRFVQYXn9ypoMUzxtIqB+v2OrDNPh3LFxbx8oE6XC4Pi9K8TGisIOvEUSZ8sg3rc7+DOdPUPoSzZ6uPqVPB0CkAIwVmn20LGF6vjtmkZ8qEdI6caKXdrYZ9Tp2QjtnU2Qh+MNbznhQno15DXbMfXUR5+cjfcLt9TD/yCUv3vo0p4OXtk85nV8l8DGYj2elGDDotOp2Ew+mN26PgcHpJs+ppaFTD1TLtJgw6LS5vAFuM0FGRRJ+6jAUZ2VORC7NJR0aakaqGdgDmTM6J6cGG/itDscrVxwpd7A9Dse4NhVLZkye2sq6NplYv7R4/VpOeLLuRwtzei4lB7GvR29hXPb2DTLsJjdQZWisrcre86d4Y7HoWa9zx5JtOm5jBvmON7DnSwJwp2Rh02riU8q7nJJ6wztD1ivz9dJuxm3I2WC9UKhoJUzFqJZJYYeWjjZjKn9vt5tFHH+XAgQNMmjSJH/zgBzQ1NbF69WoefvhhvvSlLw3DMAWCgZGIUJt4Fq2Q1chm1tHg8KCVJHRaCVmRyMs0U9/sDnv8Fp+cz08iclpyMy0cKm/qMW8ipHR+sLcavVbD5A6rrj8oYzYb+VxjRXPmdCrPXIqsKDQ1tHLTF+ywb5/6+Ne/oLwcJk+GadNg6lSWpOezvk6h0pxGWa2zW9uCZC3Geq2G5lYvE3Jt6HUa/AGZ5lYvaRZD2Fqo12podHjIp//W864bjbJqBwfLWwCYVJAWFrCXnDmJWqebiTs3852XXsCj0fPO3As4Nu0UPAGQgzKKojCzOIuKWictTi8ZNmPM8xbaLDy2bg8tTi+yrJCbacZs0OHzB7GaOkNHe7L6FuamUdvo4mBZMxk2I0V5NjLTTCM2b2S0MJZkZE+bylBo221f656n1xcDUYb6KlcvDCMwMc/G2ztPYDFqMZt0tLt91Le4Y3ph4w3j63ptBhKKG0lupoXK+jaaHBHKarqRwnF9K6vxjvv02Xnd1tGu+aY2VIPFsUoHh8pbOGNOwYCU8qI8Gw0t7rjCOmMpZwPxQkUaqI9VOpg+MSPq78m+F1JRIY2kp7nc0uohEIT71+5KOU/lYImp/N17773s27ePxYsXs2XLFg4dOsSxY8e44oor+OUvf0lWVv8TewWC4SIRoTbxLFohq5FG0pCTDq3tfoKKgi8QJC/TSF2zGwU1lLHN5Yv6fpNe02PeRFGONax0KoqCgsKBsmZmTsrEatLj9Qdo9/jD3+Ny+8kZlw6zZsKsWXDVVeofPB44dAiOHIEjRyjcvJn//vwAlQ3t1NlyUNLs6HKzUQqLaLJmsa+1kpKvLIbMTDVBcbiQ1JDY0P8BfH6Z0iq1tUTI0xCZRN/XhrGrt1av1eBy+8PX7/AJBxqNWqlQI2mwGXXk1ZYReGoz367eSaUxg6fPuIrSwulotBpAwmQEr9ePRtKQbjOi12riyoOMHEtRrg2zUYfDqOsowx7EF5CZXJiOy+3H7fF3s/qGGjXnZJhoc/lod/vYX9rIpAI7Wo0mpZPoRztjSUYmWsFKpIct1asLDofno7zWyYxJGZ3KlNnAhHwj5bXOmJ8dyLWIFYobi16V1Tl9K6vxjLu0ysGOfbWUjLeHC7Ds2FdLYW5at3mcaTcxP80YMzy26/f31eqhL9kU6z7qrxeq61hO1LSx92gjc6fm9CuUdShJdeNM17nc0uqhsc3HnMlZKempHCwxlb+tW7eyfv16srOzueGGGzj33HN55plnwqWsBYJUJhGhNvEsWpFWI7NRj9mop93to6bRyf7y1vD7FODjQ43c/eh73P3txYCaH9FT3sT7e2s5Y06+ap00G9TS5zqJijonRbk29h5rwGLUIytK30qtyQQnn6w+OjArCm8+/jYT/A4M7naMjmYsTfVMrPoEzebX4cU/gc8HBQVQWAhZWWoT+4wMVSkM/T/0sFoHrSj6AzJzpmRTWdcetgLbzHr8AblHT0NfQrqnjVajw4OCojbhNenQN9RS0lzFVF8jE2uPU1BxGKctnSO5k7H88XdMmzOHgn/upuFIA1aTHr1eg98v0+yUsFuNMQV8T2PRaSWOVTpocLixmHR4vEGy7Cbyc8wcq3TQ6vLh8QWxGDS9Nmq2mPThUN0mh7dflUIFiWcsychUVrBSvbrgcHg+6ppdBAIytU0u3F4/TqMeu3XoNtixQnFjUV7rZMbEjM4wVbOBCXnxKaux6Ot8J2Ie9/T9+cSWTRD7PuqvR7XrWCYXprP3WAPHKhzMnxlf5dShJpXXDug+lwNBmDM5K1y5NtU8lYMlpvLncrnIzlYbS+fn52OxWEalUBOMXgZrXe5t0dLrNOFwxHSbgaoGVWBFWkDdPtWVFakXKQrsOtQYft7Y6u4xb6K0qjVceKQoz8aB402qp8mj/nZ+tpWcDHPcSkgkpdWtlPmNfOpMJ8OWS1HxXDLTTOHjnH3RTGhvh8pKqKqC5mb1UV8Phw9DS0v0w+dTFcT8/N4faWl9Koih8zx3ameluK27K0m3RldOjcdaGCkMNX4f5qpysvcfJa3mBFPrSxlfe5xTghINOUU4i4rZP/cs3vri12nQmLCaDVw5Zw4Al5xVQmOLB4fTS7vbj0GnpTg/nRsumRX3uQ6NxR+UOVjWjEGnJTvdhIREfrYVg17DsY5m1KdMy2HrJ5UoshazSQ0BhuhGzZl2E5l2U7iQw2gQRCOZsSQj41WwktGOJNWrCw6H58PjDfDJwXqMBi0mow5/IMgnB+s5dWZuzM++9PYhXtt2HKfbh81s4NJFxXEVbTlQ2hjundrS5uNAaWPcyl9ds4uCcbaonERZURJyTvo638vPmTJoQ8Fgrmes+6i/HtWePJmzJ2dzuLxlQPuDoSDVjTMQHVZ+/9pdKe2pHCwxlb9gMMgHH3ygVvLqoOvzUG8jgWC00LWiXdc8s5pGFwoKeq0mHPJRkG3F4wvQ3OYNW0BXP/Nx1PeGbhsFNTn/zLkFvVr5bGZDOEwxM83EzOIsjlU4kFCwWQzcOMDFPOSJyrIb+w4htFph+nT1EQufDxoaoLYWamrUx9Gj8P77nc+DQcjLi1YIQ8/tds4xt/HC1oMca3HTrmgI2uz4zRayx9vV35BlNIEA3rZ2igwSVFR0KqUtLZ3/b25m1ocHSfe7MLY50DhaqDPYcWTmUpM2jt1zzuaFs1f8//buPLqtMr0f+PfeK10tluU1dryQ2EnIRtJJIGELy8CBgckyDRwYttAyhbKEH9OBYZqEtrSldBiYdqBDU2gKA6ctDHCmJCkJZU3okGUgDIQmJCELdhLHW2zLi3bd5feHLEWyJUu2ZGv7fs7JiS1b0qsr+X3vc9/nfV4U10/GyY4BlBTJcQfYxtpgoJfKiWxoYP7qWDdkgwTZKEHXdbh9CmoqitDU2o/Fc6rDFxeKLDK8fgX9rjPBnyAIkI2j26+MJkahjJGhPtHtVXDaEZy5jlWOP9X0xlQCx2zedmQiZj7au10QpeDepdABURAgSgLau10j3u/NbYfx6vuHIRvEYEaCX8Gr7x8GgBEDwBc2fom3djZDEgUYDQIURcVbO5sBAHdd962E7U11zV+ix453vEdzoSDe5zGV9zPR8492RjVWW0wGCRfOq0l7VfOxyvaLM0Nl+0xlqhIGfxUVFXjkkUfC35eWlkZ9LwgCPvzww/FpHVEGxMrlH7rOrELRYDSIUSkf0+pKhqV8PPUfvw9v9RBxLggA4ZOixXOq8Pbu4xh6lW/5kgY0tw8ACAadRklEXZVt1DnnQwcvx4A3PCuWthRCWQZqa4P/4nG5ooPD9nZgz57g/04nZIcbF53qA3QdRiUAi88Ns88No2yExShAgo6AaIBXFyCZTDhmNEEsK0V5Qw1K6icHZx7Ly4Hp09Fln4mjBgsMkyqxp1uHTwW8fgV9Lj+qy6yQdB0erxIzYB86wCZ7QpnoJMHlDcBqDna5AUULF3jp7vfgnOkV4ceZOaUUX3zdCY8vAE3X4PEqkEQBk8uLJmyPqNHIpk3nM6EQxsih+7GFPn+x3utU0huzvSJgKiZi5sPtU1BVZoHTrSAwOEZVFctw+5QR77dlZzNkgwizHOyfzLIIQMGWnc0jBn/v7WkZDPyCezyKBgCKivf2tCQV/KVjzV+8/icdx3ukz2Oqj59oXKmrKsb8GZXh1zVSxdZcmFUDsvvizFC5ckzHKmHwt23btoloB1HWGKmiXSiwe+a1z1EyZEF2rJSAc2dW4PeHu4cFfjXllvDjewMa7lg2J+ZVvqED22ivlMUavPYePo1vnR1MrUxHCmHSJ/9FRcGqo9OmxXycp9fvGDYD6nL7IOsqzjunBh39fhgNEk52DCCgaPArKmSDhBKbaVga5oyI1z3g64LRIKLP5UdJkSk48wYdbq+CyZVW9PT50DAYpCUqiT7SMUh0kmCURPj9KgRBiCrwUmG3RBWimTLZDq9fwYl2Z0RQOhN1VcVRx3luYzl272uLu0/URMjnk/VkFcIYOZqALpV0uGyvCJiKiZj5CGWRVJefmZ1wefwJq286Pf7whakQ2SjC6fHHuUeQP6DCaIhO5ZckAf6AmlR7U13zl6j/iXe8k+23Rvo83nrN7HF7P0fbr+barFouyPdjmvQ+f0SFIpmTl2RTAv7mnkvwN/+6A58f7g7PANaUW/DtRVOiHvfWa2bHTOlI9UpZrMHLbpXRdKof5REnBGNNZ0jnyX/MCmcWIxwDGm5ZNh8AsP43e9Hr9KHIbESRxYhAQENrlxNv72rC/TcsCN8vsuMWBAECBNgsRhRbg2mUgYAGURRwvK0fmgacM70i6bbHCnaTOUl4e1cT9h4+DbtVxsyppTAagpVCly1pwKcHOgCcucJoLzLhr+48Z1g7Qt9HHndJEvD7gx3Y/vuTWDBzEpZenHiPtXTJ55N1OmM0AV0q6VLZUhEwlQ22RzLeMx9jrb5pG0w1D874BfkDGmwRF+JikY0SFEUNzvgNUtXgXrfJSHXNX6L+J97xTrbfSvR5HK/3cyz9ai7NquWKfD6mDP6Ihkjm5GU0KQGhqp6vvntownPIYw1eDXV2/N+RrqRSCBPN6qXz5D+ZCmdfH3fAajKETy5C6+e+Pu4Y9nihjjv0Xp3qdMKvqBAgwK+okEQRoiCg2Cajb8AXTn/dsHFf3PTXeMGu26ugIbQ2cdDQk9ayYjOmTrbD5Qmgt98XtV5qtLN64SIyiobDx3shG0QUW4z4pqVvQmfe4p0cfXOqL1wMqRBTQfPNaAK6VNKlsmGdTeQG22ZZwsnOAfzT63vx8ZencPPVs7P6czzW6pvLlzQMrvFTIBtF+AMa/IqGG65oGPF+31lcH1zjp6iQJAGqqkPVdCxdHP1847FuDhj7xYJk75epz+N4XAQp9PR8iiYm/hWiwnLR/Bo4PQE43X5oug6n2x9e3xISmlmyWWV09Xpgs8pxT7hf2Pglvv/IVrz+/tfYuqsJu/edivu46VZVZoXbE4i6zWSQsODsSQnbHgp0nG5/VKDT1NoX/p1OhztckTRkNINUU2swSHjmtc9hLzKi3xUsQKPpGlweP9w+FcuWNETfaWjB0AQ7TITeq2l1JRhwB4/FrKll8AVUaDpgLzLi0HEH/AEVxUVG9Dp9Ua8zso0bNu6Dqga3nhAFYXAbDiNcnsCw4xw6SYg8jg21djTW2lFkMUYNvo21Jbj1mtn40c3n4qL5Nfj0QEdSx72l0wnZIEI2SpBlCQFVg81ixO59bUkd/1TF+ny1dTnR0eMasf2UW5LpE0NG0zem8jzjJbTBtiiK6On3QRIFmIwSDjU7cuJzfMmCejxx/yXYsO5qPHH/JUnNWF5/5UzcevVMmGUD3F4FZtmAW6+embDa513XfQsrljTAYJAQUHQYDBJWLGmIWu830jiS6vsdq/9JJjhL9n6Z+jyO9XXFk8xYToWFM39EQySb651MSkBkNTTZKCKgaGhuc0JRW3DpgrPGPYc83lX4ZE7GkpnVS+XK6PDCOgZUl/vgU7S4BVhmTSnD/m+6IECA0RA8nn1OH4qtJjzz2udxr2g21pbg/hsXRF39LLWZUG43oaffFw6g/AEVpTZTVAAV2cavjzsw4PbDajaizB7cPNevqOjp96CrzwO7VUZjnR2yQQrPdox2dnQ0x93lDcBqGiwiEwgWkfEpKvbvH90V3rFeFY71+TrR7sSU6mKmguaR0a5/GWu6VDasswmln592eCGJwmCGgAav/8yFlWz+HI/1b/n6KxMHe7GUl1hgsxjhhA6bxYjyEktUO363vw1GScS0upLwBTMgPevmxjrLnOz9MvV5THexkVhjSijLpbrCypnAAsTgjyiGdOV6D62GZjKKCCgquvv8E1KCOZXBK5nUk1QGqVgD0vT60hE3yV26pBFdfR70O/1w+RRoqgZF1VFXVZT0wvih6+b6nD4UFxnhD6jwKyqm1ZeEX+fQNpbaTHB5/GjpdKLMboZjwIv9x7phs8hoqLOj+VQ/vjzShQUzJ4XbsPm3x0aVwjOa426UxKhU1soyMw580w2rKfk1mKms24z1+aoqs6Bmki3p10u5YaLWv2R6nU0o/TygqDAagslRAVWHxWTI+s/xRBdgirdFRE+fB/0eBTaLEbquQ4eOQ8cdmD21DGV2c1pTGH0BBSfaB+D2BcLrM5PZsuH8udU40eFMOC5m4vOY7qBz6Jji6PfiePsAVE0f1Xp3yh8M/ojGUarV0NJhrINXMrN64x1cxnotf7R0bvj5OrrdaKi1h/eFiryqHPo/3hXwUNs3bNyHXqcPpTYTptWXhDe7ryqzDmtjfbUNe7/uRHefF05vAP1OHwySgGl1lSizm1Fht4SP2VhnRxP9fuR+a6qmwzHgRWWJBbOmlqHpVD90HZhWP/wqe7z3JNV1m0M/X5lY20qULqGiKToARdWg6cH/z5lWnvWf44kuwBRvi4j39rTgqsVnDabFy/AHVMgGIXzRbGhK/GiC1aHFrk60D0DXgT+YUQnZIOHTAx2oqyqOun+s5/n0QEdWBzunOgew72gXuvs96Oh2Y0q1bcxtHTqmtHQ6IQpAsc2U9DhB+YXBH9E4SrUaWqSJXrA9mtSY8Qou473m0PM989rn4eDMMeBFS4cTTo8fAUXD0ZO9mFxhTXhSUV9tQ1efB/6AGrWuI5SyGdVGHdB0wCCJgK4joGgwybHXPIbafqylF50OD6ZMtqGm0pZwdnSk4z50v7WqMgvau92oKDEjoGoIqBrmTa9AWbF5WHviSXdxgXzfHynbrF27Frt27UJZWRkA4Nprr8V9992X4VblrlCa+W+2HUVrlxMWkwFzGyuCF3ay/HM80dVS420R4fb6w2vB66ttONTcA6MkwukNDOtfRxusRt6n6WgXRFGE0+3HJ/vbUV9VjPIS07D7x0x7dGVv2mNk0aGy4mC2SbCKK5KuOhs5dhoNIrp6PahB8PPQ5/RBFIPvTUi2z2pnQj4XyWHBF6Jx9J3F9VA1HQFFhaZrCCgqVE3HdxaPrmx4JhZsp1K4IRmxFtO3dbvgGPDimdc+x/rf7MW/v31gxNccWhjvGPDiUHPP4EyrCI9PQWuXEwFViyrMElkIJXRMjZIY3vfw/450IaBo4dc5tI3fnOqD0SDi/HmTcdH8WkydbIfZKKGl88y+VG5PAEZJDL9fjXUlmFJtw4n2ATS39ic8jiMd98iTmNDrmlxhRZndjB/dfC4unFcD2RB9YSHRbEW6iwuM9+eGhrv77ruxefNmbN68mYFfGlyyoB7PPPRtPPn/LsU1FzbAapZz4nOc7r/lRIKzelrUbf6ABtkohdtRVmzG7IbywS13EHUcx1IwLPI+jgEvege8gA7oCGbaHG/rxzen+uLeJ3S/42396HP6JrQASmTxsFffPRT3+UJFh4osMkRBRJFFhtUkYevO5qSfJ/J8wSiJECAgoGjo6vWgxGbC1Bp71EXCbJ/Vnmj5XiSHM39E4yhU9ey9PS3B1BejhKWL66OqoQGJ95XK1H5q47neYWjKqFES4fEq+KalD35FRb/TD4NBRGWJJSo15e2dTSizm8P36e7zos/pg1EaXJ+j6DDLElRVw28/PwVRBCwmI84+qwRunxJ+/qHHtDxGyubQNg6dWauvtuFgUzf6nD5ouh6e5TLJUtRj11UVo8RmGnE9Y6R4KT+JruyPZdZtPGbqMr1uiygdcu1zPNGz7vG2iLj2/LPQPxj8WS1GnHa40eFwwyAJ2He0K9yfjaVgWOR9/AENgiAAAiBLEmSjhICiwjX43KGZm29O9eFk+wCm1ZWgzG5GS4czvM2PKAgIqBpOdTrx9K8/x4XzasZlhmc0Ka4x97w1G9Dd70nquWKdL0we/P/Wa2ZHBTbxPif5POuVjHzfw5Yzf0Tj7K7rvoU3froMm37+Pbzx02UxA7+Xtx6Ey+OPSvHYsbcl/DupbqmQC46c7MXp3uDgVmQxQlE1eLwBHGnpDf+OT1Gx98jpM1c0DSJ06HB6AghowXTa2VPLIIkiTvd6EFBVmE0GBBQVX3x9Gt6I4C/ZYxq5DcPQmbWyYjOm1thRYjNFzXIFFG3M79dIn4dEV/bHMuvGmbrc99JLL2HFihVYvXo1jh07lunmUIZM9N9yvC0i7rruW+F2HPimG4eaHSgySagut0b1Z2PZSiHyPgYJ0LRg+n2x1TiYug9YzQY0tfbhP94+iN8f7IDPr6Ct24XPv+5Ed78HvU4fNB2or7LBMeDFl4c70dXrwWmHB78/2IF/f/tA2md4YmVtxNuWp8JugcerRN02dM/bkSQa2xJ9TvJ91isZ+X7OxZk/ogyLTPEAMPi/H1t3Nodn/0a6QjqWK3TZcFVv6JXQPV91QNM1FBfJkCHAJBvgDyjo7vWG79N8qh92qxx1Na4GgNenorHWHr59wO2HIATLtEMHREGAKAlo73aFH6uqzIpTpwfQ0+eDyxtAkdmI8hJTuHhMLLGurHu8KuqrbAioZ9KfUtkCY6TPw93XzU94ZX8ssxW5NsNRSK677jq0trbG/NmuXbvw4IMPYtKkSRBFEZs2bcJdd92FDz74AJI0+nXFVLgSZZ/EE2+LiFCfsm79DlSVWWL2Z0/cf8moC4ZFZmOYTUZoOuALaOh0eGAxGXBWVRGm15fi7V1NaO1yomhwWx6DQYSj34f9R7tRbjej3G5Cmd2MT79qg9OjQBQFmOXg30x7twtv72zC/TcuGNOxjGU06zFDRYcAPyxmAzxeBW6fiu9f1ZDUcyVbrG28ioDlg1TG8FzA4I8ow5JJ8YiXzjO3sTylamnpKAc+1kBy6AAjioCmAm2nXZCNIgQBCCgaJAnhlMp+tz+8Pi/EajGiyGKEMyLNyB9QYTJKMBpFKKoOo0FEVbEclfY5pdqGbZ+dhNUkwWI2wOXx43SvBxfNi3/VeViq6uDMo9EgoqTYFD6W58+txqcHOsLtGU361Uifh2zYB40m1saNG0f8eXV1dfjrlStX4oknnkB7ezvq6urGu2mUZcbat6dSYCRR/59ofEvlYtWUahte3noQZTY5HCSd6nLj6gum4nf722A1GcLF1exWE0wGCYqmhy+iOd1+dPV5IYrBitwlNhNkowQdOr4+4RhVmxIZTTAROuaRwfjQPW9Hkmr670QXDspG+V64jMEfUYaF9pUKXRkFhqd4xDvpT7VaWrL3iSeVQHLoAGOzGtHe5YYgAFazhICqQ9V0lJcEU1OqyqxYMHNSeG1fiNsTwLS6YHGW0PEpssgwSkB5yZmB1eXxRx3TEx1OzJpSip7+wZk/i4yzqk040eHESCJPVl599xCMkjjsWJ7ocCYVpMU6cUr0eeAsHUXq6OgIB4Aff/wxRFGMCgipcIy1b08m+ySWZPr/RP1ZKlkoJzqcqJtkxckOF073eoMzf9VFZ/pwYcgdBr+PHE9VVYfRIKDcboHFNHhKrCf19KMy2mDikgX1SQd7Q6V6kTDfZ72Ske8XWhn8EWVYKikeY7lCl86reqkEkkMHGJNRgmFwT0RF1SGJAkpsMuZNqwyn34RONkJtjhxAI4OiyHVz8Y5pp8ONmkk21FWdSfPUdH3YcRjp5GSkY5koSIt34rR4ThXe3n0cY035ocKyZs0adHd3QxAE2Gw2PPfcczAYOLQXorH27WMtMJJM/z/S+JZqFsqxll60d7uhqhokEVBVDe3dbhgkCbOmlGH/N10QIMBoEBFQNHh8CuZNC2aOhPpnx4AX+452QRIF6NARCGhw+xTMn1GZ4NlHZ6KDiVQuEub7rFey8vlCa9aPENzDiPJdMike8QZJkxwsqT3WamnJ3ieeVALJoQOML6Ch1GZCkUWGpusoMhtRW1UUtZYu2QE0mWOazJq/RCcnqRzLeCdO3oCGO5bNGXPKDxWWl19+OdNNoCwx1v4omeyTWJLp/0fqi19991BKWSjd/V70Of0wycFKn6qmo8/ph8XsxarvzkFXnwf9Tj9cPgWyJGJyRRGWLmmMeoylFzfiZPsA2rpc8AUUmIwG1FQWYenFjXGedexyJZjI91kvyoHgDwjuYbRq1apMN4No3CRK8YgXKAQULWqt20SX9k8l+Bk6wJTaTJANAvyKDpc3+Jq8XiVqZi50v2QGoUTHNJk1f4mubKdyLEc6cbr1mtkM9ohoVMbaH401+yTZ/j9eX9zpcEOSBDQd7QpfgKutKoI7ySwUr0+BMCS1UxCCtzfWluCPls5NKqXUYjagstQCv6pBlkRYzDlxajyuciVQpbHhJ5xonKWjsma8QKGr15NStbRUr+qlGkjGStUcFoyNUPZ7JC9s/DJqf8XvDNlfMZk1fyMFaKH31eUJ4LTDgyKLEdPqSpI+llxXQUTpNNa+fawFRlLt/42SiP3fdMFqMsJqMsAfUHHgm+5wamYislFCmd0Mr09FQFFhNEgosxthGFwXnkwAs3tfsDCM16cioAY3qLeaDAVV2TJbZEMV8kKRE8HfSy+9hNdffx1nnXUWfvzjH2P69OmZbhJRUtJVWXOkQCGTpf3TGUie6HBi1tTSM2mYFhlnTR5egOXNbYexZWcznB4/bBYZy5c0DCs1/sLGL/HWzmZIogCjQYCiqHhrZzMAhAPAZNb8xTvuRkkMv69ldhN6B3zo6hu+bmYkXFdBROk21r59LAVGUu7/BUDXz3wNDH4/tFBLHKF1fWXFpvC6PrcvgFlTgsuEktm+4lhLLzp63DANBn3+gIrj7QPw+tXkGkFpke4q5DSyjAd/3MOI8lm6KmsWQqDQ6XCjptIWteZuaDD25rbDePX9w5ANIqxmA7x+Ba++fxgAogLA9/a0DAZ+wX5CNABQVLy3pyUc/CUz83bR/Br8+9sH0H/cEU4JsttkVJZaYLMYEVA1fH3cAdkgQTaI+PRAO/YeOY0FZ0/C0iWNEzYDS0SUCac6B7DvaBe6+z3o6HZjSrUt6T4soGiYN70Cpzpd4bTPxjo7AoqW+M4Ali5pjLuuL9ntK9xeBaKA8JYQslFCQFHhHrLJ+ngr9Fkv7i04sTIe/HEPI8pn6aqsma2BQjqv1lWVWXH4RA9OtDvh8QVgMRkxZbINM6eUh39ny85myAYRZjnYdZllEYCCLTubo4I/f0CF0RB9+ViSBPj8Cl5991Bwjz5JRHefF5MRP6A+1TmA1tMuDLj9EAWgxGZGCQT09HnRWFeCr451QzZIUHUdvU4foAuoKDHim1N9SR0HrqsgolyVyv6AwJkLcJGVNZ1uP8rt8gj3OmOkdX0bNu5LavuKIosRA25fcMwwiggEtGDBMYtxFEciNZz14t6CE01M/CuZ1dHREf6aexhRrqkqs8I9WJAlZKzruhprS3DrNbPxo5vPxa3XzM6KQSHyap0oCLBZZdgsRuze1zbqxzIbRez/pgdevwKTLMHrV7D/mx6YjWe6KafHD9kY3W3JRhFOj3/IbRJUNXqzpoCiAULw5KKy1BLeoD2gaujq9cBmlaMG26bWPrz+wWEAOsyyBE0H+lw+aLoGt1eB2xOAyxuA0Sii3+mHqgUf67TDg05HsPz4WI4DEVEuiNwfUBREFFlkWE0Stg6m2Cdy0fwaOD0BON1+aLoOp9sPpycw5nXekbr7PcMKt8TavmJaXQmm1tghGyW4vQpko4SpNXZMq5u48TWd42iuSue5EiWW8Zm/RLiHEeWyfE/XTOfVuj0HO1FRLCOgBgM1s2xAsSV4e2hWz2aR4fUrgzN+Qf6ABpsl+krxdxbXB9f4KSokSYCq6lA1oKHGFpVWUjP4/63XzB7Wnt372uDxKfD4FBgkEWZZQkDRcLC5BzazjK4+D/wBFYqiwunxQ1E0WMwGCAIgQOC6ESLKa2PdHzAk1YyWkWbMkt2+IjhGu9BYa48ao9MRgCaLs17Zea6Uz6m4WR9FcQ8jymXZmq6ZLumsWNnd70GZ3QxROBPYaboWdSKxfEnD4Bo/BbJRhD+gwa9ouOGKhqjHCq3rC1X7lEQBxVYJEETsO9qF+iobyuxm+BQV+/fH38Bd03QIggBJDLVJh9enQtP8KLeboKg6Ohwe6LoGk9EAgyRC1XRUlpihadqo141karDJ50GOiMbHWPcHjJRK6vtI68SS3b6isbYE58+tHlYYZiL7P1Z+zr5zpXxPxc364I8o1+Xzuq50Xq1L5kQiNAMYWe3zhiuGV/sEgPKSYFGWPlWFIATTQ42iAH9AxaHjDtRWWnGiYwBWU/wN3IXBTaRUVYMoCnB5Veg6IIoCyuxm2Cwaep0+DHgC0BBMM60oMUMSBSjq6NaNZGqwyfdBjojGx1j3B0yXRHulAom3r2hq7cOnBzrQWGvHOdMr4PYE8OmBDtRVFU9Y/5eNs16ZkE3nSvlegIbBHxGNWTqv1iV7InH9lTNjBnuRIquCSpIARdHhGPBDVYNXWY0GAYeOO2AxGTCtviS8zgKI3sB99742aKoKl0+BogTX9MkSUGQ2QoAA2SihpEiGP6Bher0dJ9qd6Oxxh4vVjGbdSKYGm3wf5IhofIx1f8B0SceMWTb0f9k260X5n4rL4I+oACWz/1Gy0nW1Lp0nEpFVQfvdGgySAEHT4fEHN3x3evzwBzQsnluBsmJz+H6RnXtjbQmuOLcOb2w7AkkQUGQzoHcgWJjAFLHmEAJgNAho6XTBZjFgUpkZHq+Clk4Xrlo8Jek2Z2qwyfdBjojGT11VMebPqAwHLZH7po63kWbMkq1Emi39XzbNelH+p+Iy+CMqMJGDolmWcLJzAP/0+l58/OUp3Hx1ZquIputEwunxwzpY6U0UBOi6DkkSEFA0zJ9RCafbj6bWfsiG6P1Ch3bu3oCG82ZXhTeeV1QdvoAKt0dBSZGOgKLB41NgL5JRN8mGnv6IDeqrh29QP5JEg814rcvL90GOiMZHplPGR5oxS3arh3zp/7huO73yPRU367d6IKL0CpXnFkURPf0+SKIAk1HCoWYHNn50FE2tfRlpV+hEIrQVQ+hEYiztsVmCqZgAYDKK0HUdiqIB0PHu7mZ8sOcEege8ONbSN2KZ8U6HGwFFRUePG6cdHkAQYJQEKKoGly9YzGVyRREqS60wDykrbjYbRnX1eKSy5+k8NqN53nTbsbcF69bvwN1PvI9163dgx96WtD8HEU2MbNiiIN4WSMlu9TCR/d94Gc/xoVCFLizYrHLMraByHYM/ogITGhT7XX5IYrCSpdEgDG6ZkLm9hdJ5IrF8SQP8igavX4EkCRBFAYqmAxCg6TomV1hhNIho73Ghu98Tt3P3+ALYe7gLfkWFWQ4GkT5Fg71IxvS6Epw3pxp/tHQuyopNOPBNN/wBFVaTAf6AigPfdMMoJd/FjjTYjOdJ1kQNcqEZZ5fHH5WGxQCQKDd1OtywDilqlS0p4xV2CzxDqi3HqkSaDyf52RCE56Ns3Fs5XZj2SVRgQlU1A4oKoyEYnARUHRaTIaMDdzrXXsSqClps1VFkNkZVE/UFVBw50Yc/OLsy5uN0dHsgCgIkURjc8gEwiCJMsgE/uvncM78oALp+5mtg8HthdO2Ot+5jvNelTMR6k8gNoYH4aVhElBuyOWVyNJVIc329XbasW6SgXEjB5cwfUYFZtqQBbp8KHYCiavArKhRVw9lTSjI6cFeVWeH2BKJuS6U9C2dX46rzp+DiP6jFVedPgaYhKg3I41PgdAfg8gbipsq4fQFUlVsgiSICigZJFGE1SzjZMRCVuhhQNMybXgHZKMHtVSAbJcybXoGAoo3tYAyR7mOTCcmmYRFRbsjmlMlLFtTjjmVzUGSR4Rjwocgi445lc/LyQlM+jA/5IldScDnzR1RgQoPfb7YdRWuXExaTAXMbK1Bht2R0QXM6F1jHKkQQUDX0DvhQPpj20+/yQ0dw24ZYWz0AZ2ZJq8uDg2iv04u2Lg8MkhiVujijvgTldjPmzzgzg+h0+1Ful5EO+bD4PB0bQhNR9sj2LQouWVCfl8HeUPkwPuSLbNg6JBkM/ogKUGhQjExPsFnljA7cyZ5IJLNNRawOeHqdHV+f6IXJKA2mAQWgQ8fZU848/tBUmaGpQ50ODwABk0otEAUxnLrY3u2CbJTCj5HuwTfbT7KSkekNoYko/XI9ZTIf5MP4kC9yJQWXwR9RAcu2gTtRe1LZu+nsKeWDFUCFwRREIypKZPQ7A/jd/jYUmY0ot5uitpcYuvegrgPV5WaURuwNaDEb4Bjw4fy51cOC0nQe22x7r0Yr0xtCExHFkgtrtBLJ9fEhX2TzOthIDP6IKGskGoSTLRoSrwOeP2MSbr1mNoDIQFKDxWyAy+PH6V7PsPUqkalD69bvgMvjj/q5x6vAajLi0wMdaKy145zpFXB7Avj0QAfqqorTNiDnwwlKoaRhEVFuyPRehemSD+NDPsiVFFwWfCGirJDMQul07t10osOJWVNLUWSR4fGpKLLImDW1dNjG7E2tfXj13UN45rXPYbcZ0efyw+XxQ9M1uDx+uH0qqiss41pqO1cWkRMR5ZJ82CYhX8aHyLH21XcP5Vz7gdzZOoQzf0SUFZJZKJ1s0ZBk1kB0OtyoqbShbtKZNE9N16Ny84deFXZ7DJhc7ocvoMIx4AunLn52qHNc97vKlUXkRES5JFfWaI0kH8aHfJmBBXIjBZfBHxFlhWQG4XTu3ZRMbn6sQdVilnC61wODQRjVY6UiH05QiIiyTa6s0RpJPowP+RDA5hKmfRJRVkhmr6LR7N20Y28L1q3fEbUfX6RkUkM7He6oGb0T7f042NQDjy8QVXDGbBTHdb8r7uNERJR+2bxXYbLyYXwYOtYCuRfA5hIGf0SUFZIdhC9ZUI8n7r8EG9ZdjSfuvyRu4Pfy1oNwefxRQVpkAJhMbv7QQfXwiV5IkgiLyRje6sFqkrDnYOe45vnnwwkKEVG2yZU1WiPJh/EhHwLYXMK0TyLKCuncqyjZqqCJUkOHVu5yefwwGiTYi85coQwVnBnPPP9s2seJVeWIKJ/kwhqtkWTT+DBWuVIlM18w+COirJGuQbi734OyYlPUbbGqgibTnshBtcgiwygBFtOZ4C9WwZnxkA0nKPm0KJ+IKF9kw/iQinwIYHMJgz8iyjvJVgVNRuSgGplOmqjgTD7ionwiIhoPuR7A5hKu+SOivLNsSQPcPnXYfnzLljSk9LgjFZzJhz2KEuGi/MzYvHkzVqxYgblz5+I///M/o37m8Xjwox/9CFdffTWuvfZabN++PUOtJKKRFMIYQbmBM39ElHdC6/q27mxGd78nvB9frOIwY3nsoY9TKOmQ+VAWPRfNmTMHTz/9NDZs2DDsZy+++CJsNhvef/99NDc347bbbsN7772HoqKiDLSUiGIplDGCcgNn/ogoL9VVFWP+jErMbazA/BmVqKsqTnynMYpMhxQFATarDJvFiN372sbtOTMhH6rK5aKZM2dixowZEMXhQ/b//M//4KabbgIANDQ0YN68efjtb3870U0kohEUyhhBuYHBHxHlndBVVqfbH3WVdbzSbAolHTIfyqLnm9bWVtTV1YW/r6mpQXt7ewZbRERDFcoYQbmBaZ9ElHcmujBJIaVDclF++l133XVobW2N+bNdu3ZBkqQJbhERpVMhjRGU/Rj8EVHe6XS4UVkaXdlzPK+yco8iSsXGjRvHfN/a2lqcOnUK5eXlAIC2tjZccMEF6WoaEaUBxwjKJkz7JKK8U1VmhdsTiLptPK+yjjUdktXfKFXXXnstXn/9dQBAc3Mz9u3bh0svvTTDrSKiSEyZp2zCmT8iyjuZuMo62nRIVn+jZG3ZsgVPPfUU+vv78eGHH2LDhg341a9+hRkzZuDOO+/E2rVrcfXVV0MURTz22GOw2WyZbjIRDcGUecoWWRH8bd68GS+88AKOHTuGRx55BKtWrQr/zOPxYN26dfjqq68gSRLWrFmDK664IoOtJaJsF7rKuntfGzodblSVWXH1BVOzauDlhumUrOXLl2P58uUxf2a1WvHLX/5ygltERES5KiuCP+5hRETplu1XWSd6XSIRERFRVqz54x5GRFRoJnpdIhEREVFWBH8j4R5GRJSPuGE6ERERTbQJSfvkHkZERNFyYV0iERER5ZcJCf64hxER0XDZvi6RiIiI8kvWp31yDyMiIiIiIqLUZUW1T+5hREREREREhWrH3hZs3dmM7n4PKuwWLFvSgEsW1Kf9ebIi+OMeRkREREREVIh27G3By1sPwmqSUFZsgsvjx8tbDwJA2gPArAj+iIiIiIiIxltTa19UsbWL5tdkfP391p3NsJokFFlkABj834+tO5vTHvxl/Zo/IiIiIiKiVDW19mHjR0fhdPtRWWqB0+3Hxo+Ooqm1L6Pt6u73wGKOnpOzmA3o7vek/bkY/BERERERUd7bva8NNosRNqsMURBgs8qwWYzYva8to+2qsFvg8SpRt3m8CirslrQ/F4M/IiIiIiLKe50ON6wWY9RtVosRnQ53hloUtGxJA9w+FS6PH5quweXxw+1TsWxJQ9qfi2v+iIiIiIgo71WVWeF0+2GzyuHb3J4AqsqsGWzVmaIukdU+v39VHlf7JCIiIiIiGk8Xza/Bxo+OAgjO+Lk9ATg9AVx9wdQMtywYAI5HsDcU0z6JiIiIiCjvNdaW4Lpvz4DNKqOr1wObVcZ1356R8WqfE4kzf0REREREVBAaa0sKKtgbijN/REREREREBYDBHxERERERUQFg8EdERERERFQAGPwREREREREVAAZ/REREREREBYDVPomIiIiI8sC6devw0UcfoaKiAlu2bAEAPPvss3jjjTdQXl4OAHjooYdw+eWXo6WlBUuXLkVjYyMA4Fvf+hYee+yxjLWdJgaDPyIiIiKiPHD99ddj1apVWLNmTdTtd9xxB+68885hvz9lyhRs3rx5oppHWYBpn0REREREeWDx4sUoKSncPewoMQZ/RERERER57JVXXsGKFSuwbt069PX1hW9vaWnBypUrsWrVKnz22WcZbCFNFAZ/RERERER56pZbbsH777+PzZs3o6qqCj/72c8AAFVVVdi+fTs2bdqEtWvX4sc//jGcTmeGW0vjjWv+iIhywI69Ldi6sxnd/R5U2C1YtqQBlyyoz3SziIgow4aODxecbY76eWVlZfjrG2+8Effeey8AQJZlyLIMAJg3bx6mTJmCpqYmzJ8/f+IaTxOOM39ERFlux94WvLz1IFweP8qKTXB5/Hh560Hs2NuS6aYREVEGxRoffrP9KFyeQPh3Ojs7w19/8MEHOPvsswEAPT09UFUVAHDy5Ek0NzfjrLPOmtgXQBOOM39ERFlu685mWE0SiizBK7TB//3YurOZs38FYPPmzXjhhRdw7NgxPPLII1i1alX4Z2vXrsWuXbtQVlYGALj22mtx3333ZaqpRDTBho4PX/3vS+g8eQgBnwuXXXYZHnjgAXz66ac4dOgQAKCuri68ncOePXvwy1/+EgaDAaIo4m//9m9RWlqaqZdCE4TBHxFRluvu96Cs2BR1m8VsQHe/J0Mtook0Z84cPP3009iwYUPMn999991RASERFY6h48P5194DTdfgGPBhw7qrAQRTPWO55pprcM0110xIOyl7MPgjIspyFXYLXB5/+MouAHi8Cirslgy2iibKzJkzAQCiyJUaRBSN4wONFkcSIqIst2xJA9w+FS6PH5quweXxw+1TsWxJQ6abRlngpZdewooVK7B69WocO3Ys080hognE8YFGizN/RERZLrSuL7Ka2/evYrXPfHHdddehtbU15s927doFSZLi3vfBBx/EpEmTIIoiNm3ahLvuugsffPDBiPchovzB8YFGi8EfEVEOuGRBPQfzPLVx48Yx37e6ujr89cqVK/HEE0+gvb0ddXV16WgaEeUAjg80Gkz7JCIiylEdHR3hrz/++GOIohgVEBIREUXizB8REVEW27JlC5566in09/fjww8/xIYNG/CrX/0KM2bMwJo1a9Dd3Q1BEGCz2fDcc8/BYODQTkREsWXFCME9jIiIiGJbvnw5li9fHvNnL7/88sQ2hoiIclpWBH/cw4iIiIiIiGh8ZUXwxz2MiIiIiIiIxldORFvcw4iIiIiIiCg1EzLzxz2MiIiIiIiIMmtCgj/uYURERERERJRZWZ/2yT2MiIiIiIiIUpcVBV+4hxEREREREdH4yoooinsYERERERERja+sT/skIiIiIiKi1DH4IyIiIiIiKgAM/oiIiIiIiAoAgz8iIiIiIqICwOCPiIiIiIioADD4IyIiIiIiKgBZsdVDOqiqCgBob2/PcEuIiGgiTJ48mfu+JoHjIxFR4Yk3RubNqHn69GkAwG233ZbhlhAR0UT48MMPUV9fn+lmZD2Oj0REhSfeGCnouq5noD1p5/V6sX//fkyaNAmSJGW6OURENM4485ccjo9ERIUn3hiZN8EfERERERERxceCL0RERERERAWA+TJpdOWVV0KWZZhMJgDAww8/jEsvvTTDrUqPJ598Eu+++y5OnTqFt956CzNnzgQANDU1Ye3atejt7UVpaSmefPJJNDQ0ZLaxaRDv9ebje+xwOPDnf/7nOHHiBGRZxtSpU/HYY4+hvLwce/fuxaOPPgqfz4e6ujr8/Oc/R0VFRaabnJKRXu+sWbMwc+ZMiGLwuthTTz2FWbNmZbjFqVm9ejVaWlogiiKsViv+6q/+CnPmzMnbv13KfYXU/yaj0ProRAqtD08G+/nh4h2TQu1HouiUNldccYX+9ddfZ7oZ42LPnj16a2vrsNd4++2365s2bdJ1Xdc3bdqk33777ZlqYlrFe735+B47HA79d7/7Xfj7n/3sZ/q6det0VVX1q666St+zZ4+u67q+fv16fe3atZlqZtrEe726ruszZ87UnU5nppo2Lvr7+8Nfv//++/rKlSt1Xc/fv13KfYXU/yaj0ProRAqtD08G+/nh4h2TQu1HIjHtk5KyaNEi1NTURN3W3d2NAwcOYPny5QCA5cuX48CBA+jp6clEE9Mq1uvNV6WlpbjgggvC3y9YsACtra3Yv38/TCYTFi1aBAC4+eab8c4772SqmWkT7/Xmq+Li4vDXTqcTgiDk9d8u5b5C6n+TUWh9dCKF1ocng/38cLGOCQUx7TPNHn74Yei6jvPOOw8PPfQQ7HZ7pps0btra2lBdXR2uHidJEqqqqtDW1oby8vIMt2785PN7rGkafv3rX+PKK69EW1sbamtrwz8rLy+Hpmnh9JF8EPl6Q26//XaoqorLLrsMDzzwAGRZzmAL0+Mv/uIvsHPnTui6jhdeeKFg/3Yp9+Vz/5uMQuujEymUPjwZ7OeHG3pMQgq9H+HMXxq98sor+O///m/813/9F3Rdx2OPPZbpJlGa5ft7/Hd/93ewWq1YtWpVppsyIYa+3o8++ghvvvkmXnnlFRw9ehTr16/PcAvT4+///u/x0Ucf4cEHH8RTTz2V6eYQjUm+97/JKLQ+OpFC6cOTwX5+uFjHhP0Ig7+0CqWpyLKMW2+9FZ9//nmGWzS+ampq0NHRAVVVAQCqqqKzszOv03Xy+T1+8skncfz4cTzzzDMQRRE1NTVRqTQ9PT0QRTFvrigPfb3AmffXZrPhxhtvzKv3FwBWrlyJTz75BJMnTy64v13Kffnc/yaj0ProRAqxD08G+/nhQsfE4XAUfD8CMPhLG7fbjYGBAQCArut4++23MWfOnAy3anxVVFRgzpw52LJlCwBgy5YtmDNnTt6mE+Tze/yLX/wC+/fvx/r168MpMvPmzYPX68Vnn30GAHjttddw7bXXZrKZaRPr9fb19cHr9QIAFEXBu+++m/Pvr8vlQltbW/j7bdu2oaSkpOD+din35XP/m4xC66MTKZQ+PBns54eLd0xMJlNB9yMh3OQ9TU6ePIkHHngAqqpC0zRMnz4df/mXf4mqqqpMNy0tHn/8cbz33nvo6upCWVkZSktLsXXrVhw7dgxr165Ff38/7HY7nnzySUybNi3TzU1ZrNf7/PPP5+V7fOTIESxfvhwNDQ0wm80AgPr6eqxfvx6ff/45/vqv/zqqjHhlZWWGW5yaeK/3rrvuwqOPPgpBEKAoChYuXIhHHnkERUVFGW7x2HV1dWH16tXweDwQRRElJSVYs2YNzjnnnLz926XcV0j9bzIKrY9OpJD68GSwnx8u3jGx2+0F249EYvBHRERERERUAJj2SUREREREVAAY/BERERERERUABn9EREREREQFgMEfERERERFRAWDwR0REREREVAAY/BGlwcKFC3Hy5Mlxe/xnn30WDz/8cNofd+3atXj66afT/rhEREQAx0eibGPIdAOIcsmVV16Jrq4uSJIUvu2dd97BF198Ef5+7dq1qK6uxoMPPhh1v8cffxwXX3zxhLaXiIhoInB8JMoNDP6IRun555/nIEVERDQEx0ei7Me0T6I0mDVrFo4fP47XX38db731Fl588UUsXLgQ9957L37yk5+gtbUV9957LxYuXIh/+7d/AwDs3bsXN998MxYtWoTvfe97+OSTT8KPd/LkSaxatQoLFy7ED37wAzgcjrjP/d3vfhfbt28Pf68oCi688EJ89dVXAIAf/vCHWLJkCc477zzcdtttOHLkSMzHefPNN3HLLbfEfF0A4Pf78eSTT+Lb3/42Lr74Yjz66KPwer0AgJ6eHtxzzz1YtGgRzj//fNx6663QNG0MR5KIiPIJx0eOj5RdGPwRpdFNN92EFStW4M4778QXX3yB559/Hj//+c9RW1uL559/Hl988QX+9E//FB0dHbjnnntw33334dNPP8WaNWvwwx/+ED09PQCAhx9+GOeccw4++eQTrF69Ghs3boz7nMuWLcOWLVvC3+/YsQNlZWU455xzAACXXXYZ3n33XezevRtz584d89qIf/iHf0BTUxM2bdqE9957D52dnVi/fj0A4KWXXkJ1dTV2796NnTt34qGHHoIgCGN6HiIiyj8cHzk+UnZg8Ec0Svfffz8WLVqERYsWYfXq1WN6jM2bN+Oyyy7D5ZdfDlEUsWTJEsybNw//+7//i9bWVuzbtw9/9md/BlmWsXjxYlx55ZVxH2vFihXYtm0bPB4PAOCtt97CsmXLwj+/4YYbYLPZIMsyHnjgARw6dAgDAwOjaq+u63jjjTfwyCOPoLS0FDabDffccw+2bt0KADAYDDh9+jRaW1thNBqxaNEiDm5ERAWG4yPHR8p+XPNHNErr169PeU1Da2sr3nnnnWHpKBdccAE6Oztht9thtVrDP6utrUVbW1vMx5o6dSqmT5+O7du344orrsC2bduwadMmAICqqnj66afxzjvvoKenB6IYvN7jcDhQXFycdHt7enrg8Xhw/fXXh2/TdT2cunLnnXfin//5n/Enf/InAIJXeO++++6kH5+IiHIfx8cgjo+UzRj8EaVZMlf0ampq8Id/+Id4/PHHh/3s1KlT6O/vh9vtDg9wra2tIz7u8uXLsWXLFmiahhkzZmDq1KkAglc5P/zwQ7z00kuor6/HwMAAFi9eDF3Xhz2GxWIJr1EAgNOnT4e/Lisrg9lsxtatW1FdXT3svjabDWvXrsXatWtx+PBh/PEf/zHmz5+Piy66KOGxICKiwsDxkeMjZR7TPonSrKKiAi0tLVG3VVZWRu1z9L3vfQ/bt2/Hxx9/DFVV4fP58Mknn6C9vR11dXWYN28enn32Wfj9fnz22WdRV0BjWbp0KXbu3Ilf//rXWL58efh2l8sFWZZRVlYGj8eDX/ziF3EfY/bs2Thy5AgOHjwIn8+HZ599NvwzURRx44034qc//Sm6u7sBAB0dHfj4448BANu3b8fx48eh6zqKi4shSRLTWoiIKArHR46PlHkM/ojS7IYbbsDRo0ej1jzcfffdeO6557Bo0SK8+OKLqKmpwb/8y7/gX//1X3HRRRfh8ssvx4svvhhOE/nHf/xHfPnll7jggguwfv16rFy5csTnrKqqwoIFC/DFF19g6dKl4dtXrlyJ2tpaXHrppVi2bBkWLFgQ9zEaGxtx//3344477sB3vvMdnHfeeVE//8lPfoKpU6fi+9//Ps4991zccccdaGpqAgAcP34cP/jBD7Bw4ULcdNNNuOWWW3DhhReO4egREVG+4vjI8ZEyT9BjzW8TERERERFRXuHMHxERERERUQFg8EdERERERFQAGPwREREREREVAAZ/REREREREBYDBHxERERERUQFg8EdERERERFQAGPwREREREREVAAZ/REREREREBYDBHxERERERUQH4/wB7P8dBHh2gAAAAAElFTkSuQmCC\n", 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\n", 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" ] @@ -1261,12 +1264,12 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1290,12 +1293,12 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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XXnstZrOZQYMGodHUdx5RFAVFUYJ+fIlEIpF0DeT42HakoCeRSLoUV1zRtHaxPejfvz/ffvttrXVWq5WioiLS0tLIysrC6/X6v3M4HAAcOHCA//73v3z88cdER0dz7733+r8D0Ov1AGg0GjweT8DtUVWVAQMG8L///a/edwsXLuTXX3/l+++/59VXX+WLL75Ap2t+KEhOTiYvL8//OS8vj+TkZHJzc7nxxhsBuPjii7nkkku48MILufDCCwF47rnnSE5OBiA+Pp6CggKSkpIoKCggLi4u4HOSSCQSSduQ4+PRNz7KGD2JRCJpI2PGjMFms/mze3k8Hp588kkuu+wyTCYT3bt3Z/v27Xi9XnJzc9myZQsAlZWVmM1mIiMjKSoqajB4uy7h4eFUVlY2uU1aWholJSX+oHSXy8XOnTv9xz/ppJOYM2cOFRUVVFVVBXSOSUlJRERE8Mcff6CqKkuWLGHixImkpqaydOlSli5dyiWXXALgdzk5dOgQy5cvZ9q0aYCIq/BdI9/vJRKJRNJ1keNjaMdHadGTSCSSNqIoCi+99BKPPPIIL7/8MiUlJZx99tncdNNNAJxwwgl0796ds88+m379+vnjFQYNGsSQIUM466yzSElJ4fjjj2/2WKeffjqzZs1i1apVPPjggw1uo6oqBoOBq6++Go/HQ3h4OHfeeScvv/wyq1atQlVVTCYT11xzDVFRUXz++ef85z//AcRAmZOTg8PhwOVysXLlSv773//Sv39/HnroIebOnYvdbmfcuHGMGzeuwePfdtttlJWVodPpeOihh4iKigIgIyODO+64g48//phu3bqxYMGCll5qiSRoOBwOLrvsMpxOJx6PhzPPPJNZs2Zx3333sXXrVlRVJS0tjXnz5hEeHs4HH3zA+++/j0ajISwsjMcee4z+/fuH+jQkkk5NZxsfDQYDzz//PI8//jgVFRV4PB6uvPJK+vTpw913343VakVVVa644gr/2FWTCRMmYLVaj5jxUVEbK/TQiTl48CATJ05k1apV9OjRI9TNkUgkklps3LiRu+66ixdffLFeEHpHoKoqVVVVhIeH43K5uPTSS7n//vuxWCz+weeuu+5i5MiRXHrppWzcuJF+/foRHR3NmjVrePHFF1m8eHGHt1vSduT4GDiNvSf9+/cnIiICgHnz5hEfH09GRgZWq9W/ftWqVbz//vsNZvSTSCSNE+rx8WhDWvQkEokkyBx//PF8//33ITu+oiiEh4cD4Ha7cbvdKIrC+PHj/dsce+yx/qxgNTWlxx13XK1YA4mkq9LYe+IT5lRVxW63+7f3rQew2WwymZBE0gpCPT4ebUhBTyKRSLogHo+HmTNnkp2dzaWXXsrw4cP937lcLpYuXcr9999f73cff/xxoy4nEklXo7H3ZO7cuaxZs4Z+/fpx7733+rd/7733ePPNN3G5XCxatChUzZZIJJKAkMlYJBKJpAuQmWth/oos5izezPwVWWQVWFm6dClr1qxhy5YtZGVl+bd95JFHGDlyJCNHjqy1j59//pmPP/6YOXPmdHTzJZIOIdD3ZN68eaxbt45+/frx9ddf+39/2WWXsXLlSubMmcMrr7wSqtOQSCSSgJCCnkQikRzhZOZaWLh2Lxabi9RoExabi4Vr95KZayEqKorRo0ezbt06AF588UVKSkqYO3durX1s376dBx54gJdffpnY2NhQnIZE0q605D0B0Gq1TJ06leXLl9fb19SpU1m5cmVHNl8ikUhajBT0JBKJ5Ahn2dZ8os16os16NIqCwV2FGSfLtuZjt9v56aef6Nu3L4sXL+aHH37gueeeq1Wk9dChQ9x2223861//Ii0tLYRnIpG0H4G8J2lpaezfvx8QMXrfffcdffv2BWDfvn3+fa1evZrevXuH4jQkEokkYGSMnkQikRzh5JTZSI02+T9XlZew+p35OF0eVkUZmTJlCqeffjpDhgyhW7duXHTRRQBMnjyZW2+9lZdeeomysjIeeeQRQFgyPv3005Cci0TSXgTynpx22mlceumlVFZWoqoqAwcO9L8X7777LuvXr0en0xEVFcVTTz0VqlORSCSSgJDlFSQSieQIZ/6KLCw2F9FmvX+d7/PsyekhbJmko5HjY+PI90QiaRuN1Z6866672Lp1K3q9nmOOOYZHH30UvV5fr0brww8/zKBBg0J8FkcX0nVTIpFIjnCmDEvGYnNhsbnwqqr//ynDkkPdNImk0yDfE4mkbRgMBhYtWsTnn3/OkiVLWLduHX/88Qfnnnsuy5Yt44svvsDhcPjrsPbo0YN3332XL774gptuuqnRIuaS9kMKehKJRHKEMzg1moxxaUSb9eRa7ESb9WSMS2NwanSomyZpJXPnzmXMmDGcc845/nUvvPACY8eOZfr06UyfPp01a9aEsIVHHvI9kUjaRlM1WhVFQVGUejVao6PF+yVrtIYGGaMnkUgkXYDBqdFywtqFmDlzJn//+9/5xz/+UWv9VVddxbXXXhuiVh35yPdEImkbskbrkYUU9CQSieQIp6VxExaLhfvuu4/s7GyMRiP//Oc/SU+XMUqdiVGjRnHw4MFQN0MikRzlZOZaWLY1n5wyG91jzEwZlszSpUspLy/nlltuISsryz9+NFej9f333w/FKRzVSNdNiUQiOcJpadzEq6++yuDBg/niiy946qmneOKJJ0J8BpJAee+995g2bRpz587FYrGEujkSiaQLI2u0HvlIQU8ikUiOcFoaN7F7925OOukkAPr160dOTg5FRUUha78kMC655BJWrFjB0qVLSUpK4sknnwx1kyQSSRdG1mg98pGumxKJRNIFaEncxKBBg1i+fDkjR45ky5YtHDp0iLy8PBISEkLVfEkA1Lw/F154ITfeeGMIWyORSLo6skbrkY8U9CQSieQIpW7sxJOvvk33cKXZuImMjAyeeOIJpk+fTnp6OoMHD0ar1YbyVCQBUFBQQFJSEgArV65kwIABIW6RRCLpynSPMdeqPRnfPY0zbn+2Xu3Jbdu2Nfj7J554QoYGhBgp6EkkEskRiC92ItqsrxU7kTEuzR83kZ6e7o+bePHFF/2/jYiIYN68eQCoqsrEiRPp2bNnqE5F0gB33nknv/zyC6WlpYwbN47bbruNX375he3btwPQvXt3Hn300RC3UiKRdGWmDEtm4dq9AESadFTY3VhsLi4a1SPELZMESkgFvblz57J69Wri4+P58ssvAVEn6KOPPiIuLg4Qg9348eND2UyJRCLpdNSMnbBVWDBptWA28uXGbDb99BPXX3+9P27irbfeqhU3UV5ejslkwmAwsHjxYkaOHElEREQIz0ZSl+eee67eugsvvDAELZFIJEcrvtqTNT1HLhrVQ5YoOYIIqaAn6wRJJBJJ66gZO1FVXsJ37yxA9Xpwub1cddGMJuMmdu/ezb333gvAgAEDpGuNRCKRSBpE1p48sgmpoCfrBEkkEknrqBk7Ed89jQvv/bf/862HYycai5sYMWIE3377bUc2VyKRSCQSSQfTKcsryDpBEolE0jRThiVjsbmw2Fx4VdX//5RhyaFumkQikUgkkk5ApxP0ZJ0giUQiaR5f7ES0WU+uxU60WU/GuDTpYiORSCSSgMnMtTB/RRZzFm9m/oosMnOlgaUr0emybso6QRKJRBIYMnZCIpFIJK2lqezNcmzpGnQ6QU/WCZJIgofD4eCyyy7D6XTi8Xg488wzmTVrFvfddx9bt25FVVXS0tKYN28e4eHhfPDBB7z//vtoNBrCwsJ47LHH6N+/f6hPQyKRSCQSSZCpmb0Z8P9dtjVfCnpdhJAKerJOkETSvhgMBhYtWkR4eDgul4tLL72UcePGcd999/nT6c+bN4/33nuPjIwMpk2bxiWXXALAqlWrmDdvHm+88UYoT0EikUgkEkk7UDN7s49Ik46cMluIWiQJNiEV9GSdIImkfVEUhfDwcADcbjdutxtFUfxCnqqq2O12//Y1a6nZbDYURenYBkskEolE0oXJzLXUqks3ZVhyyKxnNbM3+6iwu+keYw5JeyTBp9MlY5FIJMHF4/Ewffp0Tj75ZE4++WSGDx8OwNy5cznllFPYs2cPl19+uX/79957j0mTJvH000/zwAMPhKrZEolEIpF0KXwxcRabq1ZMXKgSoMjszV0fKehJJF0crVbL0qVLWbNmDVu2bCErKwsQLpvr1q2jX79+fP311/7tL7vsMlauXMmcOXN45ZVXQtVsiUQikRxldPUMkDVj4jSK4v9/2db8kLRHZm/u+nS6ZCwSiaRtNOYWEhUVxejRo1m3bh3p6aKgtlarZerUqbz++uucf/75tfYzdepUHn744RCcwdFBZ3LfkUgkklBzNGSA7IwxcTJ7c9dGWvQkki5EXbeQ/MIiXvp2K5m5Fux2Oz/99BNpaWns378fEDF63333HX379gVg3759/n2tXr2a3r17h+I0ujydzX1HIpFIQk1ns3a1B91jzFTY3bXWyZg4SXsiLXoSSReibqpknbOCXxfN55pFKvHheqZMmcJpp53GpZdeSmVlJaqqMnDgQB555BEA3n33XdavX49OpyMqKoqnnnoqlKfTZZEprSUSiaQ2ndHaFWymDEtm4dq9gDi3Crsbi83FRaN6hLhlkq6KFPQkki5E3YEyvnsaf5v7b3Itdp65cLh//Ycfftjg72XylY7haJjQSCQSSUs4GjJA+mLiarrtXzSqh1TwSdoNKehJJF2Io2Gg7ArI+ySRSCS1OVqsXTImTtKRyBg9iaQLIVMlHxnI+ySRSCS16YgMkF09q6dEUhdp0ZNIuhDSLeTIQN4niUQiqU97WruOhqyeEkldpKAnkXQxpFvIkYG8TxKJRNJxyCRYkqMR6bopkUgkEolEIunS5JTZiDTVtm/IJFiSrs5RadGThYolEomk5bS079yzB3Q66NWrAxspkUgkDSCTYEmORo46i54sVCyRSCQtp6V95+efw9Ch8MQTHdxQiUQiaQCZBEtyNHLUCXo1fbQ1iuL/f9nW/FA3TSKRSDotLek7X3sNzjsPjj0WHn88BI2VSCSSOnREVk+JpLNx1LluykLFEolE0nKa6zszcy1882c+ixdG8fMnKYyb6OLrpXrCw0PRWolEIqmPTIIlOdo46ix63WPMVNjdtdZJH22JRCJpmqb6zsxcCy+v2seieUn8/EkKx00q5bhr/iK7XLrESyQSiUQSKo46i96UYcksXLsXENroCrsbi83FRaN6hLhlEokkFMjkTIHRVN/56fpCvniqP/u3hnPWVUVMuqSEcrtepi2XSCQdguzHJZKGOeosetJHWyKR+GhtcqbMXAvzV2QxZ/Fm5q/IOiqSOTXWd5rs0Tw3qwcHd5i57N5cJl9agqJIl3iJRNIxyCR7EknjHHUWPRATlrWfR7Pxf3Drf6FPaqhbJJFIQkFrCuj6JhXRZn2tScXRoDCqG9+yYQOcdi7YbHouf2Q/x450+b+TLvESSdeis1rNZCF0iaRxjjqLno/jjoNNm2DkSPj++1C3RiKRhILWFNCVmXsFn34Kp50GERHw8VdVxPS1yLTlEkkXpTNbzWQhdImkcY5aQW/0aPj1V0hOhsmT4fnnQVVD3SqJRNKRtCY5U2edVHSUO6mqwnPPwQUXCIXZzz/D2WMjmTQ4kW255Xy++RDbcsuZNDhRatPbwNy5cxkzZgznnHOOf11ZWRlXX301Z5xxBldffTUWS+gn2ZKjg86s4JJJ9iSSxjlqBT2A/v3FJOWcc+D22+Gaa8BuD3WrJBJJR9GaArqdcVLRUdp2pxNuuAHuugtmzoTvvoPERHH8lZmFDEmN4tzh3RiSGsXKzMJOoe0/Upk5cyavv/56rXULFy5kzJgxLF++nDFjxrBw4cIQtU5ytNFZFVwgC6FLJE1xVAt6AJGRwgXpoYfgrbdg/Hg4dCjUrZJIJB1Ba5IzdcZJRUdo2wsLhffDf/4D990HH30EZnPHHf9oY9SoUURH134OV61axYwZMwCYMWMGK1euDEHLJEcjnVHB5UMm2ZNIGueoTMZSF40GHn4Yhg+HK66AE04Qwt+YMaFumUQiaW9aWkDXN6momZTgolE9QjqpaK6YeVv5808491zIy4P33oNLL61/fL0Wft5TTrndRZRJT9/EMHLK3A3vUNIqiouLSUpKAiAxMZHi4uIQt0hytNBVS1N11gQzEkmwOOotejU57zzhyhkeLpIM1PGakUgkEkAIe7Mnp/PMhcOZPTm93ScGzcXftae2/fPP4eSTweGAtWvrC3kARq3Chj2l2F0eIo067C4PG/aUYtQqbT6+pGEURUFR5PWVdAyd2WrWljI5nTXBjEQSLKSgV4ehQ+GXX4Sgd/31cO21YAu9C7pEIjlKCWQy0h7upKoK8+bBjBkweDD89huMGtXItkBdkUM5vF4SPOLj4ykoKACgoKCAuLi4ELdIcjTR0QquQGmt67h0OZccDUhBrwHi4uDrr+GBB+C//xXa7D17Qt0qiURyNBLIZCTY2nabDS6/XMTiXXwxrFkD3bo1vr3TozIqLRajXovV4cGo1zIqLRanR4p6wWTChAksWbIEgCVLljBx4sTQNkgSNDoqa25XpLWJYjpzghmJJFjIGL1G0GrhscfgpJPEhOf44+Gdd2DatFC3TCKRHE0EGn/X0ljDxti/X2TU3LgR/vlPuPdeaM5DsHuMGYvNxZi+8f51FpvLX7hY0nLuvPNOfvnlF0pLSxk3bhy33XYbGRkZ3HHHHXz88cd069aNBQsWhLqZkiDgs9pHm/W1rPadxTWys+Prf2r2N4G4rrf2d50ZGXMoqUtIBb25c+eyevVq4uPj+fLLLwFRJ2j27Nnk5OTQvXt3FixYUC/zWEcydaqY8FxwgUhGMHcuPPoo6KSILJF0eTrDoNmRk5EVK+CSS8DtFrF5gSq2umqihlDy3HPPNbh+0aJFHdwSSXtT02oP+P8u25ovJ+kB0Nr+p6v1W+2lMOgM46Ck9YTUdfNIqRPUpw/88ANkZIiYlTPPhMNhEhKJpIvSWQL1O6Kcg6rCk0/ClCmQmgq//toy74XOnKhBIunsSBfCttHa/qer9VvtEXPYWcZBSesJqV1q1KhRHDx4sNa6VatW8c477wCiTtDll1/O3XffHYrm1cJkgtdeEyUXbroJRoyA//0PTj011C2TSCTtQWfRsrd3OYfycrj6alFS5qKLRLbhiIjWtfNInSBJJKGkK7oQdjSt7X+6Ur/VHmV2Oss4KGk9nc4BsTPVCfpqSw6L1meTX24nOcrElWN6cdVV3RkxQrhyjh8Pjzwi3Dm12pA1UyKRtAPtXZuuJbTXZGT7dlFWZudOePZZmD27+Xg8iUQSXLqaC6GPYLv8NbU/6V7YPgqDzjQOSlpHp866Gco6QV9tyeHJb3ZQbnORFGGg3ObiyW928NWWHIYPh99/F9noHnwQzjgDcnND0kyJRNJOtGdtus7AJ5+IcgnFxbByJdx5pxTyJJJQ0NVcCCH4Ln9N7U+6Fwraw82/q4+DRwOdzqLnqxOUlJQU0jpBi9ZnE27U1TBXa/zrpx7bnagoePddmDQJbr0Vhg+Ht98WMS4SieTIJxAt+5GoRXY44J574Pnn4cQThcDX48g2HEgkRzxdyYUQgu/y19T+fJ870r2wM/b97eHm31WtzUcTnc6i11nqBOWX24k01vbHjDRqyS+3+z8rioht+e03SEmBs84SEyins6NbK5FIgk1zWvbOqkVuqh7Xnj0irvj55+GOO2DdOinkSSSS4BPsBDNN7a+jk9l01r4fgl/Uvitam482QmrR68x1gpKjTJTbXH5LHkCFw0NylKnetoMHw4YNcNdd8PTTorjwhx9CWlpHtlgikQSbprTsnTFIvan02pnro7nmGqGg+uwzmDEjJE2USCRHAcGOF2tufx2ZzKYz9v3tSVezNjdEZ7TQBouQCnqduU7QlWN68eQ3OwBhyatweKh0uLltQr8Gtzeb4eWXYcIEuO46OO44eOkluOwyGfcikRypNNX5d8Yg9YYmIG6Xwg03e1m3RMTk/e9/UgklkUjal2C7/DW3v450L+yMfb+k9bRX/cHOQqdz3ewsTD22O/eeNZAos54Cq5Mos557zxrI1GO719qurpvU0FMsbNoExxwDl18uEraUlIToJCSSo4CmXBXbut+m3HM6Y5B6XRem4lw9i+5LY92SWO64Q9QDlUKeRCJpb4Lt8tfU/jravbAz9v2S1tMe9Qc7E50uGUtnYuqx3esJdjVpSguwZk00Tz0FDz0EP/4Ib70lErdIJJLg0Z6auObcczpDkHrdEjDxYXoqDieR2vh9JB//OwkUuPqhHOY/3HhfJpFIJMEm2C5/Te2vI90LO0PfLwkeXd1CKy16baApLYBWC/fdBz//DJGRMHmyqFFltze/X4lEEhjtqYlrLsA/1EHqDZWA2XSgjE27Knjrn0m8Oy+VxF4OLpm3g7tvaEUFdIlEIpHUI9R9vyS4dHULrbTotYFAtAAnnCBq7t1zDyxYACtWwHvviXIMEomkbbSnJi6QZAJNaZHbO7i7oRIwpXuiWPHeIBxlRk7+Wx7nXV3O1OHdQ9ZGiUQi6YocDQlKjhZCaaEtK4OYmPY9hrTotYFAtQBhYfDii/DNN6I48ahR8OST4K79U4lE0kLaUxPXluKz7ZV+u2Y84o68CrSKCoDXA1u/6MEvLw5HReWHHxR+/F8Kc6Y0nl67M6cIl0iONtor1ljS+ZH3PrSEwkK7caOoux0bC7t3t9thACnotYmWTgSnTIE//4Rp02DuXDj5ZNi2rYMbLZF0IdoijDVHWzr/9nAprSuYmXQaskvsFB7S8f0zw9j2VU+6nVDAlAf/ZMyY5vfX1QPQJZIjBal0OXqR975zEOz6g42xfTtceKHw9vv1V3j2Wejbt10O5Ue6brYB30SwpuvTRaN61HtA6rpHPfZCMn/7WzS33AIjRsAjj8CcOaCTd0MiaRGBvoMdTXu4lNZNDjOiZwxfLDaxbfkgtFo49vJMoobmct2EgUDzbpldPQBdIjlSONrqskmqaejel1Y6eOjzbfSKC+uULvXS5b9pGro+aqlI0Pjuu8LL7//+T9Tejopq//ZI0aKNNOen3VBWwP+sE1kB//pLCHtz58Inn8Cbb8KwYR3YeImkC9BesRJtyegZaLHglgyYNQWz3fs8LFnQn/xtMYT1LmbQ37bTr5+GK8eIEjCBtD3YBY0lEknrkEqXzkEoBJi6977Iamd7XgUeL4xOi+uQmm51szdfOaZXoxnnu3rNubZS9/r8uVHHi3Nhz+9CwLv9djHnT0zsuDZJQa+daUpTN3tyNB9/DIsXw803C1PuQw+JxC3SuieRdDw1B/rskipSo4yt0rIHEtxdc0DQa2H1jgI+25TDqf3juXxM73rH6B5jpqzKxe8ro/j29VRUr8KwC3aRNjaPfskRtQbaQCwEMkW4RNI5kEqX0BMqAabuvd9VUImiKMRFVLvUQ+utu80Jr77szeFGnT9785Pf7ABoUNiT1uemWbY1n3CtgZ0/xvLTlzHs22bGHOnmzMuLeG9+AvHxHd8mKU40QTC0O4Fo6i68EE47DW69Fe6/Hz79FF5/HY47LggnIZFIAqLuQP9HdhmWKicRJh0JEeIdDlTLHohLqW/AdHk8bMq2YNRpiDXr+OtQeYMTjBMSU7j6OpU9v0cT19fCcX/fiT62imN6xqDXanl3/X4SIk3klNnYdqic4T2jAD1FVju7Ciqx2JxoFA3pyeFk5VeSU2bDrNfgcnvItbg7jdurRHK0IZUuoSdUAkzde19kdaDXaOifGO7fprXW3UCE14ayN/vWNyToSetz4+zcCe89H0PmmniqKrQkdndy3s0FjDyzjBKHjfj4hJC0Swp6jRAs7U6gmrrERPjf/4TQd8stMHIk3HmnsPCFh9fdq0QiCTZ1B/q4w9rNXQWVfkGvJVr25lxKfQPmL3vLMeo0mPRaVFXF6vD4k6IMTo1GVeGDD+DWW6OosqkMmr6HXuMOEBNuoH9SDAkRJgoqbPy4q4QJg5JIjTaxM7+CDXtKGZTiYk9RFUadBqNWg93t5clvdjCiZwy9E8L9E0rpdiORhI6OjjWWMVb1CZYAo6oiZX5RkVgKC8Xf8nKoqoLKyuq/djuoajRlVUM4VGanyumhyhGH2aChLEqH3uBFb1DxaNxEhCn8+xBER4tMjXWXsDBQlNptCUR4zS+3kxRhqH3eRi355Q0XfZbW59rk5Ym5+/vvwy+/gEabyKDR5YybXs6A42woClhsrpBeHynoNUKwtDst1dRdcAFMmAD/+Ac8/bRw63z5ZTjrrDaekEQiaZK6A33/xHA27i+jyOrAq6pB17L7Bsxyu4tIo+iKHW4vESadf4Jx8KCw9C9dCqNHw1tvKXxzwI3FllBroN12qAKTTsO23HKsdjeKAk63l9/2l5ISJc7J4VHRazWEGxXyKhykJUZItxuJpJPQUXXZZIxVwwQqwKgqFBSIjOm7dsH+/ZCdLf7u3w85OU2XztJqhfI+LAxMJtBoAAwoymFhy+sht9JNjkuDx6XB5VRwO4WV7esm2m80QnIypKRUL1tKouiWohAV5yEq3k10vJuIOLWW8JocZaLc5vJb8gAqHB6So0wNHUZanxH3+YsvxLj83Xfg9QoPvH/9C0ZPruCzHeL9UtFRbgv99Tl6Bb3sbFi3Ds45R6hI6hAs7U5rNHVxcfCf/8AVV0BGBpx9Nlx0kSi4npLSosNLJEc9gWqv6w70iZEm0pMjyKtwkGuxB13L7hswDVoNdpcHRVFwuL0M7RZFeZWbvWtTGHItuFxw1/02Uk49wOt/2jBqFQ5Z7PSOD/cPtPnldkw6DQ6XhwijFofbi04DZTYPLo9KpFnH0G5RbDpQRqRRi7VG7UHpdiORdE7aw/ImY6wapiEBpqjMTTq9ef55URorM1MIeKWl1b/TaqF7d+jdG8aOBVOMnSxLMfEJKvHxKorZicdgJ2NSD0b0jUavr295q42WzFxrrft+5tBk+sZFU1UlrIWlpfWX4mLIzxcWpn374OefobAwGVWtfTBFoxIZ5+KTh20YY+yYYtIo05QRl+QhLtmFN6wKp87NbRP6Ndi6zprpuj2x22HDBvj2WyHgbd0q1g8YIBKrXHopDBni2zqKCk1iveQ2obw+R6+gFxkp1DEzZsDkyXDJJZCW5v+6M5inx46FP/6Ap56CJ54QD9lTT8F11/m0QBJJ56MzuQW1RHvd0ECv1Wp45Nwh7dJ+34D57vr9rNtVTGyYnuN6RlN2KIwlz6eSuzOciRPh7scqWJa9G6tTnEOF3Y1GUXC6PWzPq8Jic2NzeXB7VCJMKoqiYNJrcRh0RHlVRveN9/djUSY9FpuLqI7q15xO8ddgaHo7ieQopKm+sr0sbzLGqmEGpURzRvd+vPlJFZlbdJTsCyd/v5GXPEJQSkgQk/m//U38HTwY0tOFkFczed78Fdl0rzN3tNjgpwP5jB4U2H1rzLprMglDQKD8eaCcF746gGI347Eayc/VkJ2tUlVixF1upmhvOGWF0XjcKeyv8Tujycudb2qY3xN69oRevcTf6iWa2ZO7rmBXVga//QZr18KaNULIcziEUD92rKh9d8454v7XJTPXwsrMQoakRjE6LY4Ku5uVmYX0TYwI2TxIUVVVDcmR28DBgweZOHEiq1atokePNppDS0rg44/FMnCgEPjGjCEzr9zfydY0T7e0k63ZWbdlPzt2wI03wurVotD6Sy/JZC2SzkewnvdgMX9FVj2Fje/z7Mn1e+lQCamZuRa+3FjAp29G8uvSZCIiVZ5foOHyy2HByobPweX2UOXyEm3WsyargBKrE42i0C3WhE4jrISxYXpSY8L89yO7uJKN2WUdE6O3Z48oEHrbbXD66cHdt6RRgjo+StqN5vrKlvZdgdJe+z3SUFWh6//+ezGvWr0acnPFd/HxIk/CqFHVf7t1C2y/cxZvJjXahKaG2c6rquRa7Dxz4fCgn0dz1B3Tiirs6HVa//33eiE334un3MzYbr3JzoYDB/D/PXBAXJe6kkJMTF3hr7ZA2KOHcCftzLjdwvqZlSUstr//LpY9e8T3Gg0cfzyMGwfjx4u/MTFN77Mzvl9Hr0XPR1yc8I+86iphMnvhBZg/n8GXXMINJ57CN7ssbTJPB8tNYuBA4Qu8aBHcfbcoxXDjjfDYYy3T8Egk7Ulncwtqqfa6o+Jk6lKQFc1/50SzfTtcdhnMn6/46+w0dg6rMks4MS2OaLOexEgTBq2GsioX+eUO+iVG0Cc+jD4JEUwZluwf6PskRHDG0GR/1s12c7v5/nvhhnD77VLIk0gaoLm+sr0sb0dzjJXTKaw0X34plt27xfrUVNFNnXaamNAPGNCce2XjhNobrCFlZU0BY87izcRFVE/9NRpITVHINZcxc2bvBvfpconYQ5/gV3PJzhYWr+Li+r9LShJxg0lJ9f/3LbGxomh4VBSYza2/7nVxu8FiEclwcnLg0KHqv/v3C+Fu925xbj7S0sTc+rrrxN+TTmp5QfOcMht6Lfy8p5xyu4sok56+iWHklDURuNnOSEHPh8EA06YJe+zvv8P77zPo5ZcZdN55IhVmUlKrdhvMzlpRhDw6fbrIxvnSSyLbzz//CddeK8zKEkko6WxuQR0x6AZqBWxou2g1mrvvFhm7+vSBb76BKVMCOwcV9XA6bjtVDje5h+P0Io1aBqdGYbG5/G2p256pQTv7Oni98NprYhb1/PM1AxckkqOK5vqF5vrK9uq7jrYYq6oq+Oor+OgjocuvqBAukBMmiMzmacdWkFmVyyGLDWuMGU9kMorS+msRSkE6EHff1jxXer0Yn/r0afy4n/9WwI49boyOCHoa4nGXh3HwoEhcU1AgMlIWFIjr3xhabbXQFxUlLIJ6ffViMIi/qioEOZer9mK1CuHOYhFZTRsiOlpYHIcMEZFbAwcKF8zBg4XQ2VaMWoX1e0qINOmINOqwuzxs2FPKmL6hs8hIQa8uiiJs9SNHCnXFhx/CxRfDmDFC1d7CiUt7dNaxsWIOdd11wivqhhtg4UJ48UWhgZBIQkWotZl1ae9BN9A4mrrblVS4uPEfVn77NAqPW+HBB+Hee0UmtkDPYUTPGLKLK9mRb8Wo09AzxkxeuYOSSuHW2eHushUV8OCDYoR95x3paiA5amnNhLvIamdrTjlOj5f5K7JITw5nZWYhEPy+K1SeCx2FwyGEug8/hM8/F11ScrKIzJk2TQh5YWHtEwcZSkE6EI+a1oyJgcaSDh2so8JeTqGtmIyLGr6GNpuwshUUiOQxFosoPVFeXvv/8nJxH31CnM0mvne5xDRdp6sWAM1mkXajVy8hyMXEiL/R0SK2snt34XrbrRtERATzitdHBeoaJZXD60OFFPSaomdP4Sd5442it/jHP0TBu0svFXb+AExo7TnRPPZY4Vf+4YciFGbMGLjySmHhq+lP3pmSY0i6Np3NLai9B91AXVVrbrdri5lPX0gib7+RQaMq+eL9cPr3b/k5AMz+32YAjDqRnSkx0kh6UgQJkaaOfcf37oW77hKapjvvrJ2dQCI5ymjphNvhdrNhTykKMCotFovNxcrMQiYNTmx/N+suxPbtQum9aJFIvxAXJ/TzF18s4qvqTtnaK9QgVIJ0IB41LR0TmxOGW3oNzWYhkPXqFayz7lw4PSqj0mLZU1SF1e4mwqRjcGokTk/oRD05GgdCZGR1b7FmjfCzWrBA1DyYMUN83wjtPdFUlGot1eOPw3PPidp799wjhL/sclkzR9JxdEa3oPYcdAN1Vc0psxHmiuDdBYls/D6K2GQXVz2UQ9yQIvr3bz5Av7Fz6BFrptzmwurwEGESJRTiI4wd6yq7erWIx7vtNjj33I47rkTSgbREYdrSCfeKbcLVa2i3KBIjq3+XlV/ZLgkcupLy1+GATz4RHuNr1wod03nnwdVXw6RJwuLTGJ0t1KCtBOpRU3c8ycy1MH9FVoPPw7Kt+Xg8Xn+N1giTjpRIY7vHkvradaQ9p757MKZvvH9d3XvS0UhBryVotcLmP2GCKKbywQciYG7KFCEENqKi6AjtTkQEPPkkXH+9cAF7+GGh2Rp3iY0Bp3Se5BiSrk9XdwuqSSADa2UlbP2iO999FIfXC5MvLWbixSXYVCfR5ra5tA7tFt1ghq8OcZX1ekXBz6VLheJr6ND2P6YEgAkTJhAeHo5Go0Gr1fLpp5+Gukldmpa6+LV0wu2bLNfM1NheAkdXKZi+Y4foft56SyQC6dtXzIGuukq4aQZCZws1aCutdcts6nn465CFgyU2jHqNqNHq8pCVb6XK5QEav4ZGrdKo8BgIR+pz2tm8mkAKeq1nyBCR8rKwUJjQrrsOBg0SAt9JJ4Ws0F2/fqI5P/4oPKk+fDaFbp/FcG5GEenHVwFHtsZKIulMNNWpe73w7rtw332Qk5PAgJNKOevqQnr1UVvd+dfVcLZnHE+TWK3wf/8n4vLefVfG44WARYsWESeve4fQUve0lk72OlLg6GyZkVvC5n0Wnl1YxerPIznwVwQ6ncr06Qo33AATJwY27arZhxq0CvnlDogLC+mkPFiWq9Z41DT3PJTb3aCASS/8Xk16LQ63V6yn4Wf9QEkVXlVFr9O2Wkg7Up/TzujVJAW9tpKYCDffLAS9b78VqTCfeUZU1Zw2DcLDQ9KsU06B9evhygcO8cXrCbx6bw8Gn2jlnGuLCEupPGI1VhJJZ6KxTr1wZzSXTxMJfEeOFHG08f00LNsKOWX2VnX+DWk4QxLHs2+f0CKNHg1PPdW0b5RE0gVoTZmWlkz2OtIKcCS6K+7cCU/Od/DBu+HYKqKJS3Ey4fJ8+p1SyOxzewbc39XtQyvsbryqisvtIdfiDsmkPNiWq5Z61DT3PESbdViqnNhdHow6DQ63F1VViTbr/Mer+6w7o4wYatTqa0hIa2tW2s5MZ/NqkoJesKhZnmHLFlH3YOFC4dZ50UXQu+H6JO2JosDcW8OJHpTJ9lXJ/PBxIk/f2JtBp5Sy4F9yciaRBIOanXpWFsy9FT79VBSMfecdkbtJaJrrd/4tKc3w0OfbKLE6iYsw0D8x3B/L09I4njZpj9euFZ4MMh4v5Fx77bUoisJFF13ERRddFOrmdGlaY3FryWSvI60AR4q7otMJS5aI2LvvvgONxkD6iRWMO7ec9OOr0GjAYlNaZOFpyErUOz48pMWsQ225auh5yC6uJLfcwZzFm7HY3KRGm7C5vP66cL4arT7qPutzFm8mPqK2eFFTSGuvMhCShjlqBb1ly+DNN4VS+tRTYcSIICmmFQWGDxdLQYGIEr7+elGo4+KL4eSTO9Stc3BqNDdP6sOylHzSxxex/dtu/LQ0lnPGKVx7rciG3r17478/EoNhJZKO5uBBeOQR0aeYTPDoo8Lo1VC5BB8tLc1QbHUQF6bH4fKwMbuM43vFtDjxSqu1x14vvP66mHnNnw/DhgV8TEnw+eCDD0hOTqa4uJirr76avn37MmrUqFA3q8vSERa31lgBWjM+d8YYoprs2CG6mkWLRGRM794i0dyBxG0M6KNrUxxjZ7QStXebmntG6j4P2cWVbMwuY0TPGFKjTThdHjYdEOPNiWlx/udlyrDGAyGbE9LaqwyEpGFCE0jWCXC7hVuVzwMpJkb4eD/8sEgi53QG4SBJSXDTTaJ48FlnCdXUzJkia6fVGoQDBMbg1GhmT07npauHserDOPbsET7t//2viOm76y7RodbFNym02Fy1JoWZuZYOa7tE0pkpKhLZbfv3h7ffhltugd27hQKlKSEPag92GkXx/79sa36D2yVEGHF6VEx6LUadhl2FlS3WcAZ6zFpUVoqT3LBBmCilkBdykg9nm4iPj2fy5Mls2bIlxC0KDb5sgXMWb2b+iqx2G5t8Frdos55ci51osz7kSSFaOz53xnOx2USo7/jxItXBggVCAf/116I/vf9+GJimp+JwXJiPlvZ/3WPMbd5HsGnPNgXyjNR9HnLLHYzoGUNaYgQaRSEtMYIRPWPILXcE/LxMGZaMxebCYnPhVVX//z7hMKfMRqSpcYtfQ+3qDM/pkcpRa9E75xyxHDokEpesWwc//CC8kh55RITWnXYanHGGWAYOFMa6VmEwwNSpcPbZ8OefImDn9dfhzDNFLF9aWjBPrVlSU0Vx9bvuEue6YIHwMr3jDrHEH84KG2qXAomks1JRIQxb/3papaoKhowt5bxry7h0UjzJyYG9Gy0pzaDXQpXDzf6SKsx6LfEReiodnhZrOOses8hqZ2e+lfwKB0B9i4AvHm/UKBmP10moqqrC6/USERFBVVUVP/74IzfffHNI2hJKj4+OzsrX2eJu2jI+d4ZzUVX45Rch4L37LpSVCYXZk0+KesApKbW3D4aFpzNaiYLdpprvZHZJFSmRxmafkZrPw5zFm+uNS70TwjHotTxzYfOlgHz7a8oVubVlICSt46gV9Hx06wYXXigWgPJyUSpv+XKxfPWVWN+zpwi3O/dcYflrVVZ0RRFVzo89VpjQPvkEbrgBBgwQcXynntqhbp1paSI18T/+IRLoPf64EPpuvlnM7Tqjm4NEEkqsVnjlFXj6afEK9xtl4cwriuib7qHC7m7RRDPQwc6oVVi9oxC3V0WjgNXhotzmpF9SZIsntTWPWWS18/v+MgCSI431J8q+eLxbbxVlZCSdguLiYm655RYAPB4P55xzDuPGjevwdrS3oNWcENleikibDfbsgdxcyM8XS0GBePftdlG3zeEQ9dpMJjAaxXwgPl7kZvMtvXqJsIi6RbqDxZE6Pu/YIZya3ntPWOuMRuHodP31wqLX2BQoGHGMrSkW3t6KjGDGZ9Z9Jzdll1Je5SLCpPPHdDf3jAQrNq4pIa0zCtxdmU4r6IWqTlBUlMipMm2a+Lx3L6xYIYS+//1P1G0JDxfGuBkzhKGuVRmuExPhxhvhmmtg5Uph4Xv2WWHhO/fcJouwB5vBg0VJhq1bRd3jp5+GF16AUVN60X/SQaxaqz8INyXKWCsItyXIeL+jg654n8vLRULdZ58VNZsmT4Yh52QT06fi8ICotHiiGehgV1LpxGJ3YdJpMeu16DQa7G4PPWPNLb6uNY+5M7/afbx/UkR1+7fkMvjLj+Czz+C55+CYY1p0DEn70rNnTz7//PNQN6NdPT4CESLbKuhYrbB5M2zaJBxtdu4Uy8GD9bfV68WQbDKJxWAQ4R8+wa+qSng410WnEwJfnz6iztugQaLc5NChIllTq72E6LzJKhrq/7UV0SxZAh99JEJmNBpRjvj++4WQFx3g4xIMC0+g++hIi3FLCpg3xbKt+Xi9XjJzyym3u7C5PHi1KrsKK/2CXnPPSEfFo3a2EgRdmU4r6EHnqBOUlgYZGWJxOkX83tKlYvn0U6GtGzdOyGfnny/ktxZhMAiXzrPOEpLW//4nhL4zzhBWvr592+O0GmTYMFED/uGH4Z//hHffi2HdF1H0GJ3PMWflYFFtHCqzccbQAKuR1uBILX4paRld7T6XlQmlx/z5UFoqXtUHHxSlMucsLiXS1PqJZqCD3b6SKlKjTVQ6PTjdXgx6DWEGDb/uL2XO4s0tmgjUPGZ+hYPkSCP9kyL8k4BYnBz34nxI1Il4PJ8ft0RSh2BYlBpTCgUiRLZE0PF4xPC6bp0oO7Rxo7Asqar4PjZW5Es77TThYDNggLDGJSeLUPuYmOaFMrtdxOwWFgoLYHa2UBTv2yeWpUvF0O6/VpGiHO+QIWLsPeYYsSQnByYAdkariK//jzLqcebG8Mn/wnhsvZHSQ+L7YcPdTL+hhJTjCxmYpuekYclEByrldTChCl1pyxi6LddCdnEVJr2WSKMOr1flUJkNt1fFqwZWv7WjhDDpltlxdGpBr7NhMFTH7L34otBMLVkiBL6bbhIeTpMmwSWXCGtfi/ovRanu6YuKqnfar5/wKx03rv18QOowcKDIeNVjwj6WvBVJ5roUDq5PoeeoYk4+t4is/EqmtnCfMt7v6KCr3OeiIiHg/fvfYLEII/uDD4qaeD6CoVH3DXa+Ce8bP+yrJ7gpKJj1WuLCjQBUOtwcLKlC0Si1JgJ16+mlJ4fX+uzbZ80Btmb7I/NzOPnleZQMOgZee1LG4x3lNGeZb+vz39SENhAhMj05nBe+243L4yU+3EBqtAmNRsNFo3rgcon4r7VrhXD300/iPQYhwI0cKZJgH3+8WLp1a5t1DYSlr0cPsTRGURFs21a9/PWXSDjy5pvV2yQkVE8FfMvQoRBRx5Gms1lF9u6Fh1+w8devaez/MxyrRYdGq9J7aCWnnVfALVea+HLPHqLNeiJNuk6jBGzsOQ+Va2xbxlCLzY3D5cHqcONwezHqNESadHhUlVxL4PVbpRDWtejUgl5nrhOkKGKwGDlShLH4cqx8+CFcdVW1oe7SS8Uk0Whswc4TEoQJ8aqrYNUqoVl/+mlhMjzvvFb6irYcR1g518x1YrmunDWfxPLzN/F8uCGRn46pYMjTQuANdHA8UuMJJC0j2Pe5o91Ad+8W3opvvilidc47Twh4I0bU3zZYGvXmNLgjekazJqsQV7kDt9eL3eUFVPrGR/gzZ5ZYHbzw3W5O6htParSJfUVWPt14kBE9Y+idEF5rnyAmDdtyLRwotpGeHMHJuZmMeudF1ky8kDFzrpVC3lFOIFaFtj7/TU1omxMiM3MtrMwsJD0pgrxyOyWVLvIO6jiGAcz9IJrvvhMJk0CEJlx0EYwdK5YQlLT1k5AgdLZ1QyoLC8Ucouby+uvCJRTEOJuWVl8AdLcuiqLNuFyiXPAvv4hkvOvWibhGSCEqzs2gUVUMPKGSwSdWYorwkGuxs6XMHJAA01SfH+zxoKnnvCNdY2ue11+HLAzvEV3ruIGOoYqqUlLpwqDToNcqOFxenG4vg1MjA06kIul6dFpB70iqE1Qzx8oTT4jO78MPhRfmkiXCLeTSS+Hqq4X2MGDNocEgXDrPOkv4mSxeLIS9k08WVr7hw9uuhmwCX0cXm6Qw46ZCzvh7Md8vjeTXL+OZMkW4m8yZIyyYBkPz+9pbaCWvwoHV7ibCpCMl0khaYohGKkm7EMzBsSPdQDdsELqUTz8VMs7f/y4SEg0Z0njblm3Np8LuIqfMRrRZx5DU6FZp1JvT4J7cP56V2wvweFVQweXxotcq9Iw1U2S1s6ugkl0FFTjdXn7bp+A5nM7aqNOQV+EgLbE6/u7d9fupcnmJNusZlBJFuFahz+cfMjTzR366eS5jzh0vNbmSgKwKbbUo+bLJ/ryn3B8D3jcxjJwyN9ee2qdJIXLZ1nzMioHCvdHk/hrGjt/DKTxoYB1CkLv0UqGIHDdOCFedncREEbM2YUL1Oq9XWMnqCoBffCG+A9DqI0nsYaB7XyexPWysTS0iY6qG8cdHNlveJRDcbsjJgcxMYYHMzBQusH/8IVxVQbi2jhkDs2fDQfM+jAmVxIRV9/8Wm+j/A1ECNtXnA0EfD5p6zjvKNTYz18Iz32ZRZHXgcHsoqXTyw85ixqUnBBxX50NVFOIjDDg8Xr+bf6RJh9qO80RJ56fTCnoN1QnqrIJeTRRF1OUbPRqeeUYY5N58U2jnXnpJaOGuvlpMJFsUzzdwIDzwANx+u+jpH31UmAkvvFCkAw1Gr16Huh2dS+fgmLOtPPuoiT9WR/PMM8LoOHeuyCuTkVE/JbKP9ORwPt14kHCjjkijlnKbi9wyG2c2UXRTcuQRzMGxvd1APR7hNvX000IjHR0tMtDOmiVKkDRGzcnI4NSoWgVkW1PwePm2PFAh0qynf2I4iZGmWhOgrPxKRveJ8ytJjDYnBo1CdomNPUVVGHUaXB4Vh9tLTqmNbrEmbE4PdqebmsN7pEnHqswSTkyLI9qsR2e38fclr6AtLeGHB5/lpgtOasVVlHRFArXMt8XFy6hVWL+nhEiTjkijDrvLw4Y9pYzpG9egEPm3kT1wF0XzzHvwwtup5GwPx+PSoDd66XesjZPPKSVuUClvzBrUnvrPDkOjEZEb/fqJUBAfdrsQuJ7+IJd9O/WUHDCzc1M45avEfVjypNguLk64kXbvLpTN0dFiiYqqNtgriohTtFpFwqnycigpEcLdwYOQl1ctVIKYswweLKJKfPOc3r2r9c2ZubEsXFuGotTv/5dtzW9WCdhUn+/7HMzxoKnnvKNcY99dv5+9RZVEmnREmfR4vXCozMbv+0s5Y2hKi8bQaLOOAouKx6Oiqof/alSizbWn+l0xYZqkcVos6Hm9Xqqqqoio6zAeRDpTnaC2oNVWx/SVlgor31tvwZ13wj33CJfOm24SWjyNJsCXLzJSqCsvvhh+/VVY+V58UVj9LrxQpPcKEk11dMOvhCuuENlI58+Hhx4S5RnOP18UjT7llNrGxqz8So7vFUNeuYNyu+jsByZHtCreT9J5Cebg2F7uviUl8N//wssvC415z57CXfO66wJLdhssAdQnMBq0GlRVxeHysDG7jON7xWDQaf0ToJwyG70Twv3W78IKOxv3l5FTZqNnrNjG5fFi1msx6DSUVrkwG7RUOTw43NWztAq7GxVVTKwLDjHutScp6D+EX6+eTU6lJ+B2S5qmI8bI9qYjPDBUoK48phxeD6IvSTZGs2IFfPsBPPOtqHsLkNLbwIlTSzh2tJ2+x9jQG1S/ENEVhLymMJmEK3m3XQWcMMmE5vAJV5ZrOLTXwL79MLZbLw4eFMJaTo5wCCovF3GKLlfD+42IEEJgTIwQDocOFX1jjx4iW+jgwc1bR5vr/5tTAjbX5+eWVrI5p9wffza8exSpseGtuIqC5jxQOiJWbdMBCxFGLSa9yMEQG25AVVWKK50tiqsDSIowss1bDojYbgCXVyUpojp2qKslTJM0T0CC3l133cUjjzyCRqPhggsuwGq1csUVV3Dddde1S6M6S52gYOEX4BJsXPy4mfv1qaz9MpK33hKuYgMGwHmX2ijvmU1yoiawl0+jqVap5eWJHWVkiIqjF1wgCtIEIXlLUx2doogyE2eeCVlZor7Ym28KgfbYY4XAd9llohxFTpmNXvHhtUozeFVVxuh1QYI1OAY7RmLTJmFVf+89oRUfO1YU5z3vvGoNdyDKlsYmI38dallKbF8qbI9XJftwIfRos46/DpXTNzHCPwGqex0SI02kJ0dQVOnA5VGJNOuIMetwekBFxeHyEh9uxGoTFr2a2dZG9IwhduMvTPzoVbZMu4Rdp56BxeYKeUr2I52OHiPbm47wwHB6VEalxbKnqMovTA5MimRfppmHHoJvvxW6TK9XCB+TJ1ePNxVaOwvXHiTarEer12GxhT7jZEfToDDezcjk4RHMntzwb1RV9H0eT3XGURBjdLBK+DbW/weiBGyqz/99XzE/7y1Fp1UwaBVcHi8/7y1lTBsk+86QuVRF9QtlPsIMWnQ6TYvj6lTApNMSEaHDqNPgcHux2t3UuNVdJmFal8BuF8HELU7X3zICEvR27dpFREQEn3/+OePGjeOuu+5i5syZ7TaIdZY6QcGgIe3J9yW7ybgrjccfj+bjj4WA9K9HzOgMQxkxvoKTz7Fg7l7GnkIrd320hclDkpueNKakiCrn110H330nZrLPPCPMazNmdEiK9PR0Ydl7/HFx+JdeErXg77lHGCBNQ2MoN1hr+e53hpo/kvantW4iwRiE7XahA3npJZF5LyxMWKJvuUUoI+q2MxBNZ0OTkf1FlRwstdEjNixgLWnNVNg948wUVQgNbmKksdmkF1qthjOHJKPXaYUVAyipdFBuc6MoEBNuIDXaiM1dI9vaCd2I/vBdLB9+yNfX3EXVoKFU2FxH3QS5PejoMbK9acwD46ddxQ1mcm0N3WPMlFW5SDcns3OHiLP74vcw7JVaNBo48USRCOnMM2HUKFGTrprOlXEyFLRGGFcUUdw9VDSnBGyqz39/w340Cug0CoqioNOA16uyo0Y90Na0J9TP0YieMWzYUwKKUi2cOTyM7tvypHsNKU8Gp0bi9FSLejIxXgfj9UJuLuzfL2qu7N9fvZSWikQANeuutAMBCXputxuXy8XKlSv5+9//jl6vR+nq/hFBointyezJ0fz97yJe78pndrBzdTIbv4vi1xXRRPWIpd9ph0gYnh+4ad1gEPF6U6YIE9vixcK6N2aMcOs87rh2Td4CQjOYkQHXXw8//givviqsfHZ7bxJ62Rh5RhljzrTiNTjbfYIp/dA7loauN7Q+gL4tg/CmTfDGG0LpUFYm4lyee07ElMbGNvybQDWdDU1GsvKtDEyJaJGW1GJzoyjKYZcdLRFGPRabi6jDv61pHaxbOsH33vja0TcxjMIKBxFGHaPSYjHpRfpy/3WuqhIFMgsLsb77NvZcD7lH6QS5PehqY+RfhyyU21xYHR4iTXr6JYajorJuVzETBiW1+F329Q0HS22YbFGYi5P5dX0fvl8NFUUik1dknIu+o8q49mIzV10Y1mxy6aM9BXxXDIdoqs+vcnmIMulwelTcXhWdRiHKpKPK1Ta381A/R5eP6U2uxU5JpZMKuxuDTkOv+DAuH9Nwetim5jU+JeSYvtXK/bpKyY7MJtoUXWp+pqpiolFTkPP9f/CgmHT07l29jB0rwqxSUoJnSm+CgAS9iy66iAkTJjBo0CBGjRpFTk7OER1/0JEEqj05brhCWnoO064r4uOPNGR9n8Kmdwdi+jwN3XnlDJtU1DLTeno63H+/yCzx5ZeiBoTBIAS+s85ql+QtNVEUOPVUsbzwgijE/tKrBpa9nsqKt7wcc0olN9+gYUBi6/3rm0L6oXcsjV1vs17TJjeRlgzCpaXw/vtCwNu0SeQqmjkTrrmmOg62KVqSgKLuZKRnvJle8eHN/rYmUSYd5VUu7C6PX5OLKlJk172WKzMLG3x2q9vhZkzfOFSEVjfarK8W4LKzRXrc4cPh8cdJNxhIH9b89ZQETlcaIzNzLRwsFc9tlEnnjx31eL3EhrXsXbZY4NPlVt74rJKSfckc2hmGpUj8Li7ey5gxHsJ7FxCVVsqxxyicdUwyg1Pbd2zqKnTVcIjG+vxos54qh4eoGolFKh0ef6KR1goOHf27ugxOjeaeKQMD2ldz85pAvGAa2uZASRXOKCNzFm9u8PgdWdaiU8/PPB4R9LpvX/1FVYUQ16uXEOLOPFN87tlTBNaGEEVVa3pqB47b7UanC03SzoMHDzJx4kRWrVpFj6aqk3YC5q/Iqqc98X2ePTndv67mg79hTzE6ReHQthhKf+nD3j8i0Rm8DB5byofPxzea8r1JVFUEPHz0EWzcKIS9Cy4QxXk6kD/+EIkw3n1XTMyTk0VemUsvFe45wVKCB3rdJcGhseu9YW8xkwYn+xMGgJiM5FrsQanr43SKWJ7334fPPgOHQyQquOYa8Uy1pORkW56Z1vx2/oqsBhNe5FU4GJIaFZxn96efhCXvxhuF1CvpMEI1RrZ1fJy/Iot9RVZ25Fsx6jQYdRrK7W4Oldk4+5gUkqOqNf9eVeVQmZ0HJg9n926RDdK3/PUX7NxZvd/4bk56pYvkKcnpFfRL93LnGbIvbi1H2xj32pqd/HvVLgxaLWa9gs2l4vR4uH1if8alJ/nnTzUFnOYEh5rzrmD+rqWCUd3t05PDG3SRDuSeB3LsmtsYtQqHLHZ6x4c3ei6tuUZN0emfXatVWOPqCnM5OSIjUZ8+9ZfY2Hb3mGstTY5Cb775ZpM/vvrqq4PamK5IoHFGNa0EKKDRKkyZopJwQS55+4pZ+XEUW1bHMnSoUBTceacITg/kuap+qY10PzODqVcopP+wQgTR9esnrHxBSt7SHMcdB88/D//6lzA0fvCBiFH8979FUy69VCyDBrXtONIPvWNp7HorKFTY3UF1E/F4RDmE99+Hjz8WCoP4eBGieu21DRc3D4TWxAT63q2/DgkryMDkCHrFhwf0W3G8KoakRmF3ucnMreCPgxa0GrAnhLWqYK4fVRU+04sXi/oRw9suVEvq0xXHyJwyG2FGLbm/pFCYpwUFIo1anC6Vb38Jw1IO9ioN7ioDLouRqlIDzzmqf6/TiZxgw4aJeNg/bHs4doSHyOhqnbJXVTlksbe5OHaXcv9qIZ0hkUhHcsP4AQAsWp/tFwpuGpPGDeMHMH9FVqs8R+q667s8HvYUWrnzo82cMSSl0eepuTIQLbFW1bVu7S208unGgxzfK4Ze8eG1fh/IvCYQL5ia28xfkeWP9W7o2vmShmXmVte7TIky1rq2LX0PO8X8zOuFgoKGrXOVlcIa5xPifNa5Xr2Eq9ARRpOCXmVlZUe1o8vSkjgj38vn68D1Wi1eVcWcXMm4a8p4/lkd3y+J4qWXxHM3YgTce6/IudKYjNaQifyVTBcZ513G4OuvF8lb3n9fJG+ZOVMkb+mACrMmkzAoXnCBcG3+7DPRjCeeEF6mxx0nmjNzpohVbamipLP4oXc1GuvQa15vXxHvIquDML2W/cWV9bSFgU5Gasb2ePJjKfsrmRVfGDl0SMSDzpghFAOTJ1dnzmwtLY0JrFtPL0yvZUeelSqXJ6Di6YNTo5k0OJGXV+9hX1El4UYtJ/SK4ZDFwa97SxndV0FRYFdBJTllVXhVuP7tXxlyuI9odN++eLyCAnj77XbP6HU00xXHSF99u53L07EVi/4y9/B3WoMbncmD3uRFF+ZEl2Th7MlhjD0ukj59RAr+fv1ElICP+SvEOw+1+2KjVmlTcewj1v0rSHSGRCIdTY/YMHrEhqHX2kmOMtEjVrj5Nic4NDZu1fxdkdXO7/vLMGgVUGnyeWrqeIHEetdsT3ZJFSmRRv92eRUOwo068sod9EmIqPX79pjXNHftaiYN89W73J5X4Y+NbM172KHzM5cLDhyA3btFPSWfMJedLeop+YS5tDQ4/XTxf2Jih8TOdRStdt0MJUeS62ZraUpD4nCIJBNPPSVyrvTvL7JbXnFFfWVDwCbyrCxhHlmxQiRvueACGDGCzLzyDtWY5uYK79L//Q/WrxfrBgwQKfBnzhTunYG8f+3hbnC009Q1BTEx83q9bM+rEIkoVEhPjqDS6SE5yojTo7boGdqSbeGRhYUc2BRL1i9RWIr0aLRexk/0cMM1es45Rwh7oaKt7ie+67mn0CoscIqCw+2lb0IY2/Os6LVCu+F0eymocKDTKHhVldRoMz3jwphzZnr963jgANx1l0gpes89tWfckqOCto6P9326hbVZRVgdbvQa8QzaXSooKif0jsHm8tbS7PdJiGjyeW+s3zDrNRhqWBKgduKI5t6tTu/+1UK6onUymOf01ZYcnvxmhz/LaIXDQ6XDzb1nDSQrv7LRZ8GnOG9o3KpZxP3nPcXYDwsvRr2WMX3jG32emnr2fIJTY+EKdd+Hr//MxeNViTDq8KgqhRUOkiMNeFE4Y0hKrd9fe2qfDnej/Ntr6ylv4Psos56PbhjTqvcw0PlZi54fl0sIbz6Bzvc3J0ckPenXr1qg69NHWOhCOYHoQAIKIHA4HHz88cfs3LkTh6PaR2PevHnt1rCjnabM70ajiEG68kpYsgTmzROZLh96SLh03nBDdeHngE3k6elw333VyVueeAKLG37uN4aqMaeRGh3ZIRrT1FS4/Xax5ObC0qXC2vfcc8Lds1s3mD4dho2upDz2EEWOqgY7gKNR29neNJ1BNp2McWk89Pk2PF6Ii9DTPzGcxEhTiyZfViusXCnu+eLPIrBVRKM3ehl4QhVnX11Ez+EWUpI0XNQJJnJtdT/xXU+XRyXCqPVnaSyudDG6bywrthUQYzZQ6RT18ER2TlEY2l1Uybvr9/P3Mb39z/jInEzO+WwhEbNuEVqRThov0BXpSmOkSOajw+Xx4lFVjDoNSVF6sktsVDk9jOlX7fERSPKPxvriN37YR3xE7SlIzfenuXertVaczkhmroV/LdtBSaUTp9vLzvwKthws454pA5uM+erM59gSS08g57FofTbhRl2N8UfjX//IuUMadWNtatyq6f5qsTkxajU4PCpDu0X599XQ892U22xN4dFHTWtV3faE6bXsK67C5vTQOz6MEquT7BI7feLD6v2+oXdpVJ8Ylm3N540f9rXqGWjOBbixpGFRJvHutmYcDGR+1ujzc1J3BrsssGdP7eXQITGB7NtXLBMnir+9ex/1Cs+ABL27776bvn378sMPP3DLLbfwxRdf0Ldv3/Zum6QZtFrhtjlzJqxaJYo/3323cH+85RYhLLXYRB4RIbKjXHQRX734CenffcXE7z5m/6ix7Bw7heyYlA4rrJmaKnJI3HijiMP66ishALy1SMX2SjhaXT/6DrPRZ0QFm4Ye4t5LYEi32sJeZxn0OjttKRTu69AHp0bTKy6M0WlxtbSZTXX6qiqSNixbBt98I2LvXC4R15w2wsKo02wMHlmFwSQcD7yq0mniLFv6btW9xhv2CKvJvuIqvF6VSJOW5CgT5XYvRp2OxEgjx/WMZskfuXg9Xiqdbsx6LSpCMPxpdzFVLi8xRi2Tf/6Kvqu/4ZWLbuWckycxWAp5HUpXGiO7x5jZlF1K7/gwv/LB7vIQadJxyGLj5z3F9Sx6zdFQX9zc+9Pcu1Vld/FRViF2t4cIo47hPaJJijLTPcZ8xLl1vrN+P9nFVUSYdESadDjcXrKLq3hn/X4uH9O7wXOZNDiRlZmFrTrHjhAQAy1XE+i9yi+3kxRRe8IeadSSX25vUnB444d9jY5bNX+nUTSgKBzfK5rESLF9Y/15c4JKU4JT3XFUBbQKOD1eAKLMOiqdbhxuL15Vrff7mu9SQ9fuoaV/UeX0UOFwkxxl4soxvZh6bPdG71Nz5zK0WzRhem2tpGG948JISxTvfXu5YS7fdIC0sly678klJu8A0bkHCDuYTfSjRTAoTVjo0tJg0iTxVwp0jRKQoJednc3zzz/PqlWrOO+88zjnnHO47LLL2rttkgBRFPGsT5okEms++ST885+igPnFV/ZGd9xOSHG1LEZKUdiYMoDcm+5la1kx/X9cwYQXHqY8MZWfjz8dTktre1BUC4iNxV9z8OmvdvHnRj0HtkSx/ddwVryZAqTw5b9cnH+ucLM+7TRh/ZM0T1sKhdft0APZpqAAVq+G5cuFgJeTI9YfcwzccYcoAzl2LLy4ugiLzYXB1HFxli2ZADWnCa25L4NWIb/cQc+4MH/A/Z85FgCMWg1VXi/lNjdVjkp6xIZhsblIiwtjw55SVK+KVqugqlBudxNl0qEAFQ432korx7/+Ekp5OU9eMpfwbh2niJFU05XGyCnDkvn2rzz/s+Zwe3G4vaRGGdhZWEWE0UWkUYvF5uJQmY0zhjZeoLu54zT1/jT13Vdbcvj9QBk2pweTXsHu8rB2ZxFDUqN4ZPrQgIWMYNFWwWnTgTIijNrDVvvD1ntVZdOBMhIjTQ2ey6L12bWy8wZ6jh0lBAdq6al7r5xukRDlro+2MHlIsv9aJkeZDrsQVsduVDg8JEeJYyz+LZuPfsvB7vJi0muosDv4v2nHNDsm1c2NYNBpGxSw6tKYIrk5waluezyqSmKUkUqnB6vDQ2y4kb4J4WSX2si12Jv0Rqp77QrKbWzLLcek05KWEEa5zcWT3+wAaFbYa3qcE0nDar6Lvjq5rU1i5nsGu4dp0O7exZrvVxETZSO1JA9272b61l04k1IoT+2JJbUn+0ecTNlZfyPLFMdTl4xsdN+S+gQk6PlSREdFRZGVlUVCQgLFxcXt2jBJ6xg1Cj75RKS3fuIJeOs1I0bjUEZPLWXQGbmk99EH7MLo65A0sQlsOecS/jzrQuJ++YmTflkJUz8TPpTnndfhElV+VRXDR5sYcVIR52YUUVqgI/PXMP74yczixdG8/rrYLj1dCHynnSaSikrBr2HaUig8kBo9h3JVoujBzTcLAS8zU2wbHS2SqEyZIpIL1Q0namtWuUBTVjeWObO5CVBTA3rdydTarEIq7G5Soo1oFD15FQ50Gg12t5cIoxadVoPV4cblUdHrNGSMS+Od9ftRgDC9hkqnB41GRVXB41WxOjykWfI476P/sCttKMtm3ESVqiEn39rmAsKSltOVxsjBqdHcNqEfL6zaTUmli7hwPb3jwsjKt3J8z2iq3CpWu5sos56USAOL1mfz/Y6iFgs4zU2Im/pu0fpsYsMMJEYolFQ58bq9mHRaqpyeZq04wSYYgpOCQt1kCerh9Y0JTPnldkanxdVb39w5dpQQHKilp+b5FVbY2ZhdhlGr4FW9ta7llWN6+YWWmjF6t03ox6Nf/Mmin7LRahSMWhHXvOinbAAuHNmrxZnP2xru0Zzg9My3WWyyOnC4PZRUOjFotZyWnui3JFpsLgalRjcb7pBTZkOvhZ/3iIyYB0qq0CqKyNyu0dRyb21K0GvuXJq6LgFfN6dTlCzYs4dDX/7EBQezSSrMIby0iMq4JAoSu7GtZ29Sp06CG25g6Q4bpW6lXuxfirnjDAxdhYALplssFm6//XZuuukmqqqqmDVrVnu3TdIGBg8WteoefBAef1zh/ffj2PBVHDfeCLHHBLaPehNtp8r+gSMZdf2F4CiFTz+Fyy8XppgLLoCTT+6QTEXdY8z16o+lnmjk5KkRzJoQzebNQqBYvVokdVm4UPyuXz8YPRpOOkn8Pe44aemHthUKr9uhpydFMz6hH+9/WUXmFh0FOyMoOCAyBEVECEvdlVcKwTu8u4WV2/PJLLNRnmlmijZ4cZZ1J1/7ikTK6hE9Y+idUC3E1XR/Kre5ANiRbyXCpCMhQlyTpiZAjQ3o9dN2C3fLXQWVJESYsNrd6DQKJp0GrVbB41aJCdNj0msZlBrF4NRonB6VUWmx/HWoXCRsAQwGDaoKU/K2MvmLt/hs7PlsH3UaACbA4fZSbnc3e30kwaWrjZFTj+1O38SIWu+eze1hUEqU3y27yGrnt32leLwwOi2uVQLO2qwCFv9+wC8QhBmUWhPIxvbjc+PTaDSEG8U0xuv1UmB1Au3jTtaY1S4YgtOIntGs31OCoij+OCirw8OYvnEk1IhzrnkuyVGmVpWu6ajU9g0p6rYdslDp9LDkjxy/W2HNe7WrsBKvVyWv0olHVcnMLfen8vcJPYvWZ5NfLrJu3jahH1OP7c4/PvlTCHk6Mf8wakRf+NFvOfzftGNanPm8vfEezoGooBBjNmCxOal0uImPaN6SWBNfhtxIk45Iow6nW7h/GnTV8zCfe2tbaO661PrelxRl+Ybq+Lndu0XShW7doG9fSh1GOHEsO7r1oiIpFa9O7084M/GM4QCcEWY5qsqHtCcBCXoXXnghACeeeCKrVq1q1wZJgsvAgfDOO0Lge+IJUa/ulVdEwpZ//EPEwTVG0xPtaJH55eabhQ/ewoUiDejMmcLS15JK1S0kPTmcTzce9GffKre5yC2zceawZLRaOP54sdx5p6i5tnkzfP+9qB29erUo4wAiqc2IEULoGzlSlBobNKj1HqmdOTC+KVoyKarZoXu9IqnVJ5/AL7/Ahg3w229QWRkJRBIXJ4Tq024Tgt3xx4saWxC4Fry1A2/dyVde+eGU1RUO0hKrU1bXdH+yOjxYbU7yKhxk5VcQZtAyvHsUqbGNZ+YKJG03QIRJh8Ppptzu8n8uKFcw6TX0PJwi3JfxzXfdffdlwqBkju0Rza6CSkrKq7j0ty85O/8v7pl+GxvNyYQVVZIYacDlERnbLDYX81dkHTHPX1egK46Rdd+9utn1dhVUoigKcRF6NIrSYgHHVwBb9aq4vSq5Dg9PfZPFtkMW/t2Ma1ZylInCCjvOw26lRp0Gg07jd+MLdo25pvqrYAhOfx/Tm7xyB0VWB+V2F0adlrSEcP4+pjfQsBvrlWN6sTKzsMXn2FGp7evOH6ocLvYXVxIbbiQpwuB3K/z7ST3JLhH9YmGFnVKrExSFHrGmeqn8px7bvUHLlN3lxVinxJReI9b72tJZ+sJlW/PpHR/OsT1i/Ov2FlrJLXeg12lbpNAUVt9q9FrFL+z5qOneGlTcbiHQ1RTm9uypneWyb18RU5SRIWrQHdasH2ggU2fdZ1Am1AseAQl6L774YoPrb7311qA2RtJ+pKfDokXVAt+LL8KrrwqBb+5c8V42RLMdpMkE554rlsxMUaLh/PNrlWgIdva/rPxKju8VQ165GBSjzXoGJkeQlV/J1Drb1hT87rpLrDt4EH7+WQgmP/8sZNR//1t8p9eLun3Dh4vl2GNh6FBxfZo6jWBnGGvNtq0lkEmRxSKSpmzZIgTnzZvhzz9FlkwQ123ECJENdvRosfTr1/g1a2/3obqTr3K7iCuy1rB21XV/Krc5ybE4UBDtdnm8/Ly3lDGNnITvnnu9XnItdjZll/LtX3ncNqFfvclU/8RwNuwpIcKkw6uqpEQa2V9ciV6jYDucVdPq8NArPqzB2Ie4cCMjIq2M/fhVuseHs+DKBymrVEhxuim3iYQuAFpFweX2snpHQa2sfZL2pSuPkV9tyWHR+mwOllThcHsZ1i2SY3vGUmR1oNdo6J9YrQhpiYCzaH02qlfF4VHRAFoNeLzwxZZ8zhia06Sr2cRBCfx71S4MWi1mvUKlw0NplZOLaySsCOYksan+KhiC0+DUaOacmd5oX9/YuRwsrapVQPzKMb2aPce2CMEtHY9qzh/+9tp6YsONNa6hsDqt2l7EI+cOYdnWfCrsbnRaDakxJsIMYnrqcHux2NxNHt+k12B3etBovHhV0Cjg9aqYDNpWtbs9aUgx0DshHINeyzMXDm/RvnxeH3uKqrDa3aRGm8i12EUiF6+3lntrUzR5fTweUbanpjC3e7eYSCUnC2GuXz+RHOHaa0XpgmZcpQJ9BjuTgH4kE5CgFxZWnebV4XCwevXqIzaj2NFO//7w5pvwwAMiYctLL8Hrr8Ntt4myW20yxA0eLCTJO+4QKTL/+U/hynnBBXD22cJ3LwjklNnoFR9eK9tbIGm+ffToUV2sHYSnwY4d1ULMli2inODbb1f/JiJCCMt1l7Q0iI8Pfoaxlm7bFnyToiW/FPDnn16U8lji3LE8s9xMVpYosVhQUL19dLQQgq++WgjCPoG4bg3Hpmhv96G6k68ok95f+8dHXfen4krh9qXRCC2pTqPgdqv8nl3GnMWb6w2Ay7bm4/V62ZFvxajTEB9uoNzu5oVVu7ltYr9a2naDTkuv+DC6HR6I0xIjGNo9ki8257G/pAq9VsOJvWO5bdKABmMf3Fu38rf/vUDYuVP54IRzMDo8DI32sDG7jJRoE9nFlVQ6PYQZdSRHiRvhy9r3z5nHBuWaShqnq46RNWuXdY8xUVTpZNMBC3aXl/gIIymRRn9cEbRMwLHYXLi9QsjTHK7Xp2hUXN7mY4qqnCqjeseys7CSSoeHcKOW4YlRVDmrI90CnSS2NeOwr7aZb11rrYdNtbeh777aksO7Px8gyqSne7SJCoeHd38+QI/YsDZlWWyMto5HzWXNHJwaLeKkS2xoFAVVVWul8m/q+BMHJbB0cz6KR0WrgEv8jImDEkKSgbWpZyqYFlXfvsb0jfev25xdQlZhJQVWZy331qbaunDtXmKMWtIdJRg27GPzx/tINFpJKMgRVrvExGoL3dixcNVVQqBryaBfA2mt61gCEvSuueaaWp+vvfZarr322nZpkKRj6NcP3ngD7r0XHn5Y1Kh75RWYM0fIab46fK0iMtJfooGNG4WV75VXhAn/gguEP2kb6B5jZl+R1W/Ra0ma74bQ62HYMLFcemn1+sJCIfjt2IFf4PnlF1HQ3VvDO8JsBlNMbxKS3cQkuYlJdBOT4CY8xo1dW0VWb0hKEgJSSyxZwbJ6VVWJc6m55Bzuvw8cEEt2djRlZbX3mZwshNlp08TfwYOFUNezZ9uNtO3tPlRXY5gSZeRQmY30pIhaGdVquj+5vSoGLXhUEcjuPZzt0uXxNjhByCkTWdGMOo0/W16USUdJpYus/Mp6A1lN65pvcB3ZJ47TByX521OXwanRDP5lNXz1MvzzQZgwgZzFmw8X5NVzfK8YdhVWUuXyoFEUesSY/TFLvqx9kvanq46RdWuXJUWaMOq0qIrir11msbUwo/Nhos16ch0etDXCur0q6DQ0G1OUU2bj2J6xHNerWjPZEmWfj2BkHA7VpLWpunLNJd5ojaUk0PHIZwH2xdH50vs3lzUTmk7l39Tx+yREMSTFys6CKtyqik6jMCApjD4JUc22O9jWvuaeqWC6FTe0r9gIE2+cPbjxc7BaRVKUfftg/34qV2/k8uxswgtzKTVHUZzcA1v3XvzQcyAzbrpOCHTm4Ge6lta6jiMgQa8uNpuNvLy8YLdFEgIGDID33hMC34MPwv/9Hzz/vPh8881tfL8VBU44QSzFxaL6+Z13Cu3QBReIlIsNaIQaGyh81I3Ra2ua78ZITKwuW1ETh0N4L2Rlif4yOxtW/eYk75DCwV9M2CwGUKsloQ//T/zV68EQkUZEpBej2YsxzIvRrGIwe/BoXRxaLjwe9HoRy/ZtZiQxYVp0h+cWXg94PAqWSjcV64Ul0u2GykqoqBD9d0VF9f8WixDqqqoaPr/4eCG09e4tlHQ9ewo3+gEDxBLdjn1wsGNo6lJ38tUnIYIzhibXyrrpm4z5kk7oNApeFWLNegw6DeU2Fx63F5Ne22AMkq/eWHx4tZba4fYSF67312hqbCALaNLkdMIzzwhlyeuviwGXhpMRGbQazHpttZBHddY+H53Jfamr01XGyNbWLguEK8f04qlvsvB4hSXPq4q6mnHh+mZjioKlKApWxuFQTFqbujftQSBeGF9tyeHRL7bh9gqviN12K49+sQ2gyayZPppK5d9cJtWJQ1KZPLS6v6sp+Df2u7ZY+1qbnCfY2T0b3FdypHCtrCHQsW+fWGw2LImp7DDGsT8qkV+i08kbOxZ7ag+UMLMop+Ly0iPOzIzBg1vcJknnIyBBb9q0af7/vV4vJSUl3HLLLe3WKEnbaemk7phjYMkSYbF64AFh2XvuOSH8XXNNELJTxseLHV11Ffzwg7DyLVgAU6eKmL5evYDarkI1A7ahug5MVn4lI3rG+Ce6UWY96UkNx+i1B0ajsG7V7AO/2lLub3e4TkdRoZbyUoXzBvclLSLBb0n7/o8qyi3gdelwVGmwWjTYKg247OHsWCuEN48/O37jmXJ+OPxXr4fwcOFaGhlZvSQmQlSU+NvQkpoqfhcqOkIL3tDkq6Hnw7ddmEHh36t24fKo6DQiyYPHq3Jcz+p9ONxuVmwr8dfG83jVevXGeseFtT3zXX6+8KVOThY+xDVcA2sqOlxuN3uKKnC4VKocHswGG8lRplpZ+6Dj3ICPVrrqGBmIFaaows62Q+X8dchCYYWdy8f0DuiZumH8ALYdsvDFlnxcXmHJiwvXY9LruHJMryZ/W1fw2l9USVa+lZ7x5hYlIgpmxuGOprmENE3RGqVPIML1y6v3YHN5Mes1aDUKdpeXsio39322latOTuPvJ/Vk1faielkzfQxOjWbS4MR6il6fYq2p47fmu9Z6zWTmWnjm2yyKDpdI2JlfwdYcC3POTA/omQqaYqCigsHFBxjs2AcF++HX/fCffULIi4sTWtw+fUTMzqRJ0KcPmW4DC9ftI9qsJ9KkY+2vB6hyeuijNxCmKJj0Wpm9uYsRkKD36quvVv9ApyM+Pt5fN0jS+WjLpO7EE0USzTVr4P774aabhFvnww/DZZeJ5CZtQqOBcePEkpMjSjRcd53oiC64gLd3GJp1R8kps9E7IZy0xNbF6LWG5gbGusJncjeF4QONRCaWcPnkhBr7wX9vamosa96bbYcsvLZ6Ly6nSlZuFaqq4PWqDEwNR6dXuH58H47pGd0RlSyOKm4YPwDAn9zAoNMwKCWCE3qL+Iciq50Ne0qJNOlIjRaxfUmRRgoq7Lg9qr/emFar8SdUaYwmJy2//SZevksvhSuuqOcn60tG9NehcvaX2NFrFSIMoibfoTIbLo+XxEhTrax9bXUDbs7KfrTTVcfIpqwwvsnu3qJKIoxaFBQ27Ckh12JvWRKgw2F1bq8oHn3vWQOZemz3JvvcmoKXv/5lSmD1L2tS8z0srLCzq7CSEquTuAgDmbmWoGQAbi+aS0jTGK2dHwTihXGwtAqTXoNOq8Hp9mJzeVAUkVHYYnORXeLikXOHNJl8bGVmIUNSoxidFkeF3c3KzEL6JkY0KdwnRhjJL3dAXFiDbWus3XWthEVWOzvzreRXOPzn3FBb312/n71FlUSadESZ9DjcXvYWVfLu+v3BD0vweODQoWrLnG/Ztw/sdqEk79NHCHWHhTl69RKJ8hpg2YqsWmNBuFGLw+WhoNxB73gh5KmqSrT5yO+/JIIm72RZWRkA4XVU/9bDqfZiYmLapVGSthGM2K7x42HdOli2TMw5r7wSnnwS5s0TCTaDkkize3eRBeaGG+C77+D997nzhz/544Tx/HbceMqjhDWirjtKR6WH9hHIwBio8BmIZvjbv/KJjRD3LyZKe3jy4aLEbeORsxsfJI8kOquFqUdsGD1iw9Br7UQZdYDij0HamlOOAgztFuV35RzSLZoB7ggSIk3NasdrTlyNWoVDFju948OrJx9VTq4/8BMsXQyPPSZSlzaALxnRr/tLiTbrMek1qKoKdjdur0pxpYseceHMPL5breeztclvArGyH6101TGy5rN6TPco9pfY6iV3mL9CWDQiTTp/jKrN5WXboXLu+mgLk4ckN2kpuv2D30QCDUCniNjYkko3y//KpW9iRMD9Q06ZDaNOQ4RJ1+IyDz7hocTqICvfCorI/pkaZewU/VFTBJKQpiFaOz8IZOzSazW4PSp6LdgOxw17VBWtRkO0Wc++IivXLvoNvVbToMKoqbbNnpzeqHBfYXfjVVVcbg+5Fne9tjXW7ppu8EUVdiw2N5FGLclRTT9zmw5YiDBq/c+9Sa+lyuHi2235jOgVw4FiG+nJEfROCA88LMFXrmD37upl3z6hEI+Prxbm0tPhjDPE/4mJLZ6M1R0LEiJNaDUKpVUuKhxuokx6+sSH1cp5IN3+j2yaFPRmzpyJcjj7UW5uLlFRUQCUl5eTmprKd9991yGNlLSMYGU0VBQ46yw480xheHvgAZgxQ9RF/9e/4JRTgtRggwGmTIEpU3j3scUc98sqbn/j/9jTaxAbjj+djUn9a7mjtHd8V10CGRhbW4uuIWrev8RIE4mRJn8x0a7SubZ3eYXWUFegqXB4KCy1kRhhxOrQ4/R4GZUWWyvLYKRJR67F7S/m2xh1BdsKuxuNouA8PDHpbYJbf3ibhLJCeOstUVi2EXzPWqXDTfjh9OEOtxe3VxRld3pUhqRG+TXhgbg9NUVbkj50dUI1Rq5du5YnnngCr9fLhRdeSEZGRtD27XtWR/35I8dYCrHozZRqjUw+qT+906LBXAX5+eQXlOJwuYkyC7/+SoebIqsDt1clv9zGl1sO+cuNNPScfP1nAQqi9heABnB5VL7+s4A+CVHNJtDwvU+ooKoqv+8v44TeMSREmAIe73zCy0Ofb8Pl9ZIQYaR/UjgJEWKiH8r+qDlyymykxpixuVV/rG5qjLnZ827L/KC5sevEPrGszSpCURQ8HhUU8HhVesSa2Jlfzu/7S9FoFNKTIhpUGDXXNt/x56/IokdsWK3no3d8ONFmfYN9cWPtrukGb3N68HhVSqpcDD5cWxUaHpNU1Frxz5UON4VWF4oCg1KiCNNr2ZFvpcrlYWi36PpuvkVFsG0b7NwJu3dTvnU71t37KI6IxdGrD91HDiN18mSR1rtXr1Znt2yIujHeigI2p5fuMWbGpSfWiouEzquUlQROk4Keb5B64IEHmDx5MuPHjwdgzZo1XaYobFck2BYvX4WEGTNEaYaHHoJTTxWWvXnzRN25YDFl+sk8aYjn87EzOXXXb0xa8SFn2u1EXfY3sAyB6MCDmYOlhQpkYAym8NnRFstQ0N7lFVpDYwJNcZWLVy4f6S8YXZNA70uDgm2cmKjMHmCAu+8WNSqee6rBgNiaz7JBq5Bf7sCo02B3edFrFaqcHsw6DaqqEG7U1puktOX5rJn0odLhprTKicPlJddiq+fedrQRijHS4/Hw6KOP8uabb5KcnMwFF1zAhAkT6N+/f1D273tWtQlxYC3BfuAgzvwSVq1dQ4LXwdAI6Gf0MutAARVVDqpM4TjN4RRpjFi0Rix6M+6ISEyxMRTrTPyy9UeGnX0svfukQlQUWTZYtr8Kl8eLogi3dF95Ba0ist821D/YXW427C0mp8xGdkkVKZGiJlukWY/D5cGoU9hVUElChKnF/aXV7vYLnD5C3R81h0Gr+GtzRhx2v/t1bymj+zZdI6k9x5fbJg6gyOpkX3ElHtWLVtGQFGnkxLQ4VmcVotVoCDdq0Wg0DSqMAm1bsMaPmjV5cy02wg06Iow6iqtcTe5zRM8Y1mYV4Sy34/GqwkUVhbSEcDSKQp+ECH/NwNkjEyHzL/hqmxDuMjNFRrchQyA9newhI3g38UQ8V/YmLDKsOpzjmPYRpOoms6tweHB5PHSPEaV/6s6nlm3Nx+Pxsi233K9QSIk0dmoliKQ2ATnhbt68mccff9z/efz48TzzzDPt1ihJ22gvi5dOB9dfL2L1/v1v4cp5zDEiv8ojj4j6dG3F1+EvWp/NlwPG8Ovxp3FrQiXHbVknJM1x4+CCCxg8bFizwdLB0kIFMvgEM1i/oy2WoaChzJEpkcZarq8dTUNZ7EqsdnbkVdD/vq/RaxW6RRsZm57c4vvS2MTEu2ol2f94l1UTL6TspKlMKbYxOLV2GxqyBnpVlfTkCDZmW1AULXqNqEXm9HgZ1SfWv/+amvDWPp++hBw6jSgMr9MIt2SjTiM1u4fpyDFyy5Yt9O7dm549ewIwdepUVq1aFTRBz/esHhp6Al+E92FDWCmagaCowsvD4VaJMuvoeXYYGpcTxWol0WunvKAErbWCGLedPkYvRreN7lWlkJdN8bs76B2rpbywBE92AefZKxlbbqfCGEalwYzVGIbVHEGpIZwqUzijPGnssClkOXQUaozYwyOpMkcSkRRHarSJTdmllFe5iDDp6J8YzsbsMoxaBYvNicXmalEB8IVr9wohT9Vgd3n8lkG9VtuplWsK/vBGP+rh9T4aUna25/gyODWaR6YPZdnWfLblWvwujPERRioOxz3HhlX3b3XDMgJtW7CE1bo1ee0uD0adBuvhRCSN7fOU/vGsyswXGWNR8HhBq3hJN3tI3r6F+P07icveTfjuLIjUVGdvO/tskekuNdXvcvnJiiycUa5GrdfBpqZwW24Xx40wavjjoAW9VkN2lIn05HD/sX21DY16jV+hkHXYWik5MggonUNSUhIvv/wyBw8e5ODBg7zyyiskJSW1d9skrcQ3qYs268m12Ik264M6GQsLg7lzRYmB22+Hd98V6fj/8Q8oLW37/qce252PbhjDmrtP56MbT2bcBZPh0Ufhs89EAcAHHxTS5qefNlo7oKYFxRe3EW3Ws2xrfovbM2VYsn/y4FVV///NJdxoLe19/zoD6cnhbDpQRrnNRbhBlDLYdKCM9OTgpwLNzLUwf0UWcxZvZv6KLDJzLQ2ujzLqqHBUD177iq0UWF2ogFErXJD2Ftv4I7skoPtSc//ZJVXsL6r0f6d4PKS9+x9O+fI9Pr/2Xkomn+1XRvja59vHQ59v48+DFrblllNsdQgrhlGH0wPH9ojGqNfgURW0Gg2n9IsnPUW4DzakjJg9OZ1nLhzO7MnpLUqDX+lwk2uxo9WIpBlur8rI3rGtfqe6Gh05Rubn55OSkuL/nJycTH5+/Xvgsyi63W4yMjL4+uuvAbDb7WRkZLB8+XJAxBNmZGT4rZPxehffvvYYBzN/Z/NBC1pXBWG//BdNURYOj4pit8AP/6EyZwf5DhVDuIatv33KbqOGP/sey+4hQ/i8eDtfpR/Lx6dfzCenT+Nu1cXCcy9nysm3ctFp1zGzTzq3XXI3t0+bw79Gns3HZpWV3QawPbEPKfFa9q/8BM3GDYze+hOX/fgBt753Pw+/8yDPLLiZ826ZySNPX8Zdbz/E2BcfY8LCRzjvjTuYuOZjxm1eQ+qyd4l8+//onrMT8vP5ftkyMjIy/HGTy5cvJyMjA7vdzrKt+VTs/IWq717B7hKTe/feX/n+9Sf8ffxnn33GzTff7L+uixcvZtasWf7PH3zwAbNnz/Z/fuedd7j77rv9n9966y3mzp3r//z666/z4IMP+j+/+uqrPPLII/7PL774Ik888YT/84IFC3jqqaf8n5999lmeffZZHB6V0X1jqfjlE3J/+hSTXsvovrFs+eotXnzxRb8Qu+bDlyn85Ut///LKs/8k6dAP/vHlzyWvkJr/s78/uPvuu3nnnXf8x5s9ezYffPCB//OsWbNYvHix//PNN9/MZ5995v/8xNw72f37GqLNBo7rEUHmx8+y6afviTTridB6KVvxEtbdvwNgqbDiWfua/9lLNasUfvMCFfu2kGuxY3BXUvjNC5Tu/QuAvLw8MjIy6OE+KMoqHcphxcLH2JP5J/uLK9m/by8Tz7uM+17/ksxcC7t27SIjI4O//hK/37FjBxkZGezYIVxGTRWH+Pa1xyjLO0D/pHCsubvJ/vzfGGxFWGwu9mdt5ff3nuLgwYMAbNiwgYyMDDbtyObk3tGcmLOBMz57iHvWvcWrS+ZxzWPXEzt/LtqSQrYPOZHFU2dyw4ABWJ9+GmbNYrnXS8bDD2N3iGQvX3/9NV++/Ajhh+XV3b+vYcXCx/xKutY8ezfeNts/7lx3/zPcMntOrWdvxTvP0ys+nJP6xpOcsw7Lj++zI89KpcONLvNbcr5/jye/2cFXW3JYsGABe1a9D4qIQyz++VOsvy0BBcrtbp566ikWLFhQfe+feIIXX3zR//mRRx6plajqwQcf5PXXX/d/njt3Lm+99Zb/c1ufvYyMDL744gug5f1eWVkZGRkZrF27FoCioiIyMjL46aefaj17GzZsAODgwYNkZGTw++/iWd63bx8ZGRls3rwZoNln76+//iIjI4Ndu3YBQlmYkZHBvn37APj999/JyMio9+z5yvb89NNPZGRkUFRURHMEZNF79tlnefHFF7n11lsBGDlyJM8++2wgP5WEiI7IEBYfL0owzJol6u89/TT85z9w331w662NJn1qltfW7PRnPow267lyTC+RETEmRmQh/PvfRR2Ijz+GF18U8X0XXAB9+/r3EUzXwECsIcH2Y+9sGd6CTUNaxYHJwS+R0dh9mTQ4kZWZhUSb9eg0sHpHATllVTjcKo5IIwkRBvLLnQAYNKKAulEDXqeHvw5V0D85qtnj1ky/7fVCdrEQ9AYaXJz0n2c4WOXh0zv+SWrvVDQ0HodUbHUQFybc0zZml5EWH8beoipcXi8DksLZ61Hxqip2l4cqp7tWQfhgaOl9VvaHPt+G3eUhwqRndFosA5Kj2j3b7ZFCVxojJw5KYqXXS5XDg93txWcz8apCM6zRCMtRuFGLqtdyoMxGmEFHeu84Ml0GPDZAFXGjuL10jzBi8XpZ9NN+Sg1JeN0eFI+XModKWEIcB1xWSiJjsPcYzJSTj2HUED23PFCCZvgMPBGJOPJ24dm2As/wmUTGJjLBlMfu5Z8Q3v90wtEwzJ1DSUkeaSYNF6e4cezfz549OzH9859gs3H8/v30LCnBvXMPmZowFKuV08sLKX7sSbqXQIS1gMTiAlJdh8iqMpJdVYlN9fr77u2huxVN0j3GzL4ia611VQ6PP27Xp+w06DQoSnX/srXMzrGDTFx3OJZt7sZIkgIoyRAImbkWci02jE4PadEmLJV2vKrKaekJXDJsEPO++BP34f7KYnNR5XST0opj94oLZ9hxaSxeW4HD7cXl8aJRFHRarbDIOdwsXLuXs3o3vZ8x/eJY7/VS4XDTPdlIr9gwMoEIk3Dhn3ZsKsuyDqcaLygg6rffmLB1Kz23P07vknyKDXq2OKrwnHoMb0VMZ09VMWE5v3DcGX/DppgYoTtITt62Jttg1GkOFzpvwDppbeKHh7E63MxfkUVOmY1Df+aSl19Bis1FarSJPJeHg4WVtVzswwxaKuxu//NQUun0u9QqioJBp8Fo1LFofTYnI1yE1cPji6qqeLwqOl9WzrLm2ycJPYqqqk2naOqEHDx4kIkTJ7Jq1Sp6BMNfUBIUNm8Wlr5vvhHFtx99FC6/vLokQyAp2l9bs7NWymibS8Xp8XD7xP7+9Pe1KCgQlr4lS4Tv6AUXwOmnM3/NvnquHb7PzSXOaA2++K1AjiczWMGcxZtJjTahqZExzJdw5pkLhwftOI3dl2255QxJjcLpFsKTUScyV5ZVuah0ejDoNORa7OgVMB2eOLk9XpweFY8Kt03oT4XdzYGSKpKjjDg9aq17ef+nW1i/p4RIkw63x0uR1UmFw81xJfuZu+5tCk47gw+Pm8Kg7jGNXgNf2zNzy7G7PJj0WuwuD4VWB1EmPS63h0KrE4NWg0ZRcXpE0enBKZGc1C+B9OTwWgXi2/qcteQZl7QfmzZt4sUXX+SNN94A4LXXXgPghhtuAIIzPvr6qIVrd+NVVaJMekoqnSiKKGqu0SgMTI7kUJkNu9vLsG5RlFSKibuqegk3GogL15MSZUKr1bArv4Iiq538CicKoDmcZRNg3IAEhveMrfUMjX/6e5IiDGgO15A5WCpi+hxuL1ednAbAviIrueUOeh2uW9no862qbN+TxwfL/yTJYyfOVYm3tBRvaRnRdivhNivRjkqM1nJM1gq05RbCHJWkdEsQykXfEhvb9P9hYbUyILZ3P//Vlhwe/TITj0dFVVUURUGrVfi/cwYz9dju7dLHNndOzfURzc0BairmGio/1Njx29I3NbhPkxe2bxfxdNu3w9at4HTCsGFwzDG8XxXNvqTemOOqz90XitDs89jA8ZsruRTob9dmFWK1uxndN86fNKzudaj7m7d+3ItBpyE12ky4Udh+vF4vBVYna+4+nfkrsthXZPUrZaNMelKijPRJiJD9/hFCkxa9J554gvvvv58bb7yxwe9rmmQlkuHD4euv4fvvhRvn1VfDM8+IWD565vDUsuZTtC9an41BqyXcKCbX4UbAIdY3KOglJYnyDNdeC2vXCivfs89yyfjJvBI3HEv37h0S5xaoBVFmsBJ0VMKZxu5Lfrmd0WlxbNhbjterUmh14HR5QYFT+8fTJyGCN37Yg93pweH24lXFJMmriiyBGkXB5fGwt6iSIquDcemJte6lL/22x6uSV+5Ap6hM37GO6b99w+rLb2XSDeczZGt+k9fA1/b+SeH8vr8MENrVCpubSKN4pg1aDUa9BlUFLyJroKoo/liXYD5nR0PsaEsJxRh5zDHHsG/fPg4cOEBycjJfffVV0K2HPo+CMIPCv1ftwuVR0SjCbVcBUiKNlFQ5cR2uueVwe4kL16PTKjhcHk5Mi62l/Ljx3Y1UONyH4zvFMXz7W51VxOqsIl5YtZNxA+J469ox9Qq1x4YZyC4RNdp8FmuNRtNkTTY/isI3eypQunfHadaTd3i1xebC6fZgc3nrT7JP7U1KuAJlZWIpLa3+v6hIZEv0ffYtTqdf8Cs1hJFjURkWE8sxkZGU6038tNxI2In96N07BSIjq5eIiFYVqP1xVzF6RQGNEJq1ioJeUfhxVzFTj+0e9D420DJDbfGkaSobM9Do8eseN9B6eACDDW4Gmwtg/3b4ORMWbIfKShg0SCwTJgi3pe7d/YL8iFwLv67dS/Th0jsVdjdabYDPY93jtyF+uu71cnq8RBhFSSafoNdQsfaax4s06zFoFL+QB1Dh8PgznYt+v4rBqVG13pH2Cl2RBJ8mBb3p06cDcM0113RIYyRdg9NPhw0b4JNPhBvntGmQMCCSflNjiR4kAq8bS9FusbmIMtYe9Mx6pV62w3rodKJDnjAB9u8n5ZNPuOf9J8hK6M36405DO3oMF41qP2Eq0EG1M5YVCAUdJTQ0dl+So0RSk6IKO2VVLvRaDRoNeDwq63YW8cu+UrpFG8kqqELxqGiV6glq34QwAHYViELRYhJcu36XL/12aZUTk9fFdWs/oFtRDo+cfzejjz+WZVvzm70GvrYnRJg4oXcMuwqEUBlp1pEaZWRfcRUKKg63xt/+cpuTA6VVPPT5Nn9WQgjOcxbMhENdhVCMkTqdjv/7v//juuuuw+PxcP755zNgQANKsDbic6F3eVTsTtH/KgrEh+tJiTaxI9+Kw+MlNdrkrycWZdJR7PGSGGmqpe1PjjJxqMyGQavB61XxeMHle6EO4wVW7yzhpH+u4Phesew/7JYYadTi9qqY9RpO6B3bYGbA5mhMAMm1uJt+pmvUQfRbfiJsdB/WgMXG6fQLfd98uwVPSQlxzioMtkriqsqJLS+ncPFf9I7XQ0VF9WK1ijiHiIjaAqBPCGxk3YE/s+hpDkeNiUTViOtvd7rZdKAMaLqPbY21sa1lhgKpx9mUoLhsaz5er5fM3PJalqVlW/P9bqx55Q4KD9fDizLpSI40VguEY/swWOesttL5LHZOpxDoBg8WYSCzZ4vyNprGU1gEuy/cU2hl/Z5i8svt9ZKhNEXd6xVl0mNzuv3JZKB54f64HtH8vr9U1Is9nIWz0uHmtgn9/Oc6aXBiPUvs0dzvH2k0KegNGzYMgBNPPNG/zmKxkJuby6BBg9q1Ye1ZJ0jS/iiK8KKcPh1efx1uv8fEhgUjyBlRzDEzsolMttfLuAVi8KhyeIQl7zA2l1pr4GiW3r3hzjs5MPPvZL/9KaO+X0ril29imnEuXH6RqEsTZAIVXFqq8eyqbp4dJTTUvC/5lip+zy6j0uEhOcrINlWl0uHhcGZ3nG7v4ax1okKS2aAnyqilyuXBczg+KdqsIyZMPJzldhcGjYJWAz/vKabc7iLSqCM6TO9Pv+0uLOaela9TGh7NfefMJjU5xn+/m7sGNdteYnWwt8hKpcNDjFnHn4cq0Bx2o3N7VWxOF2aDFrfn8GTb6vBnJWxMs9saunrsaEsJ1Rg5fvx4fymH9qCmC31CuN7vQj95cCK55S7yy+1EmHSY9ZpaNU4dbi/x4Qa2HU5E5HuuJw5K4I/sUlweFYNOI1J41hH0fOSVO0mKMtM73kml01OvUHtraEoACeSZDsgTw2AQHiZJSWzcbCN1oImiBtwmR9Z1m1RVsNlqC38+AdD3f0GByH5W4/tbNu8jzGkjzGnHpTdgN4ZhNZioMobBvs8YHBnJvRojmysUDikmeifFc8LwPnj27+P53wo54NFhUxV25lewNcfCnDObTtDU1NjlG6dqZtqsWyz8oc+3NVuPs6n7tC3XQlZeBXaXV9S7szrJs9iocnmYcVw3f8kAb2UV3YvySbYUMNZYRf/1ZZgOHST8qTyIDxcC3aBBQgN9zz2QktLiouMQvL4wEAG4Meper/5J4azfLUIGGovVrp/FWdfku5aZa2FlZiFDUqMYnRZHhd1dq0ZroHTVucyRQEDJWC6//HJeeeUV3G43M2fOJD4+nuOPP75WJqlg0t51giQdh14PN90Ey52b+PObFPav7kHO5lj6ji2g58S9JCfVHjiuHNOLf6/aBQ5qxejdNCatRcfNzLWwcMMhoo8by66TTke3by+9fvyOyZdfRUR6P1EEcNIkMAfHVTBQwaUl7jRd3c2zI4QG3315YdVO1uwsxqzX0jvOjBeF/cWVqKqK0+PFrFHQaRRAEVk2dRpcHpU+CeGYDTpO6htPYYWdjfvLKLI68KoqBq2GPIsNm8uLVqNg1muxOdyU29yM7B1DckE2t3z5Kmv6jWTxCWehaDT0ijPXut9NaXIba3t+hZMqp4sok46SSjc6Lei0orSCUVEY0TOG4kqRGbamC09Xq8XYmejoMbK9acyF/tf9Fn66dyIg+qfZH26m3C6sJw63iKGLDdNzoNhG95gwf7+VXeLirGFJfLO1AIdLxMD6aKhMQLRZz5Bu0UGL/2yrB0FLPTFa5DapKCK+LywMkht2h2tokvzF+v2s31NClEFDpOpCU2nFa6ngpEQ9Z56YChYLyRYLZ/hcSwtz4eMf+POv/VxRVEKUswq3wYjVGI5Fb6b8wzgY0ReioyEqSvyNiBBjpNnM8QUFlObrMEdF4DYY8Gp0lLlVIlUNb6zaQWSEucli4Q2Vr2muvIK10kFVRSWXDOjG7xtyMBZVkKh4iHDbMdqq0FVa6ad1EPN9FU9mZxOWfwjFYqE4JpGS+BSsyd0oGjQQy4nj2WWK45FrTmuVUNeeNFa/ta63U0PUvV56rZa0hHCSo4yNWr4bepbD9BoOltnQa+tbMYPhhdTV5zKdnYAEvYqKCiIiIli8eDEzZsxg1qxZTJs2rd0a1d51giQdz3Wn9+BJ+w56nnyI7JV92LMuhX3rE7jo2iqsVjGeAP44vJpZN28ak1YvPq+5oO66nZM3rS+bU3qy33AVd5gK4PPPYf584eo5fboIsm7jABCI4NKSCceR6uYZqOYukO2CoQUcnBpNUaWLXocLlNek3O7itL4J5FU42JFXTrhBTG5jD5uUHU435XbhtpYYaSI9OYK8CsfhQdTEzvwKDDotJp0Gp9uL1eFlRM8wcr5YyT+Xv8V7Ey9kScoxROo0RJv15JTZMep1XDSqR0Ca3IbaXmB1Ytbr0Gq1TB4Sx+aDFgoqHGgPxxcOSI4i1mrnt32llFidQc/CKalPR4+R7U0gLvSDU/+/vTMPj6o8G/d9Zp/MZLJvhDWsYVUUETfcABFRq9Vq1Wo/W7dWP/di/dRqa4tLa9X6a7HVapVasYsLuAEuuCAuWBDZdwghe2Yyyexzfn8cZjITskySSTIJz31d5wIOc85555wz7/M+ewY3njGSJ9/bQU2jnxybieE5aWypcDOmwB43b9U1+ih3BZg6LIu9tU2EwyqNfi1/KlLgpSXJbFje3QiCzkZiJDM0vb3KwQddPqrdPqqCBsyOHHIHDeL0OWOgne/1s8c/wqCDNIMOk99LmqcRvcuJydPI9NNKNKXQ5YKKCti+XfM2ejzMrXGyfW81aaEAlpCfcCCI6vdjDIcwhIIY1RAoCj70uEIQ1BnIzEgjNzMN0tP49V4nHvToTUZCegNBnYEmVYfebIK65WAyUdrUxH179lO3qwx9XS0mvYIjw05aeho/3d9Ak2IgZDDiM1twm9JwGa0EHA52jBmJ/ugTaMwv4r06BU9IPVR9M8Ss8Vp7pEyrMeWUPGi9f2tr0U6t0dp7XTQik5Wbq9sMA235Lm+rcLF2bz0oCmML7IfJoWRUMO+va5mBQkJ99EKhEJWVlbz11luceuqpPTyknu8T1N/7ZaxatYprrrmG+vp6AN577702+wSB1qvlmmuuIRjU4rbfeOONuFDY3ugT9OV//sKCuWPJK4D8Yb9j2rxfMf2UAH//o4NBgxr5znfeIXBoDeH+8nUuNP6Xb+8/i08XnEH9Z/+O69Vy7a0/55cP/x6XJ0C+3UTZyr/xy0eeYNn6MkDr1fLJsiWkWzQ7xscvPcG3H7xOusXA/oYAdyxbxgtHHw0vvwxDhrD+O99h7/HHw1//CgcOdLlXy6IPtzHjV29x9OzvMv0nv2PRh9sOe/cS7RP0xEvLWLxmD//5eD1//+3/8dVXXwKgNlSy9P/dn7Lv3l+XvMp1117He9/u59syJ2+++SbXXXsd3+yrYVO5k58u/DNnfOcy7v73eh5+ewvrP1nOpn/+Lrp4efIvf4u+e5vKndz32J9Z8deHowucex/9E9fd2PwuJtqjqsKlhQrXfP46lR9pfXnSzXoC65ay672XGF/kYGxBOrpvl+JZ+xqj8myMyrNR9ckreNa+ES0HvnPFi4yv+5RHL5rC6AIH6ZtexbRtJYGwismow/7NPxm3+CHmvfFXPvvp3Xzr282EhrUMy7Wj1+moeu8Ziqu/oLQog+dX7yX06fOoOz5Bp9MUweAnz/LEMy/GvXv7v/6Q9EOL7rKlj2PYvxaDXqHR42P3a49zjG4P44scjM61sPu1x9m9fjW5dgujsvR4P/gjqz/6kI3lLurr67jtpp+y+LW3gP4376UyvS0je5oMqxauGUtsCH2kR+T7W6o5Zmgm00dkRxtPD86yMiy3uR9mtdvL5oMN1Lr9TBuezezxhcwYmcsxQ7QWJS0jOIdl94wHuqt9JEHz0DXE5D11NL5k9kJtqyfs1opGbp8zhlPH5jOxOJNTx+Z3GH4JHMofBlWnw2dJoy4rj/1Fw9k8fDzMng0XXww/+hHceivcd59WTe3xx8l68TnsLy/m3V88yR9v+z1LFz5D6N13eeoXz7DkiZd56cl/8uQvn+enVz/Mg9cs5MEf3Ms/f/pLfvudW9h+570E7rmP50/+HktOuIDlJ8znnaNO571xJ1Bw0blwyikwdSrMmkXm3QsY8cYShm5cS+Hm9aSt+RRWrOCB6x/lNz/6Fb+47B5+cf5tPHnuT3jl3B+x7MzvU3PWuWwbPp7GnHxGFqbjC4ZxeYPYzfoe73vbXQoclrj+rRBfDKUjYt/rMQU2XvxsX3RtFFHaImsj0N7lPdWNrN5Zw/KNFXy0rRpV1VpKROSQ7VB7hcjnO/Put0ZZvSe6HouQTEOO0D4JefRuuOEGrr76aqZOncrkyZPZt28fw4cP7+GhCb1NxHvy+dr9uKvje68kg3mTi5k3uZg/BL7C6XRy991WPvsMLrusjldfncPEifDrX2vW3fYMb1sr3Rj1luiiw2TQETTo4kIdHIesqK2FzhyI7MjLgyuv5K9ff83sggKGVlTAD37A9w8c0BKxTzmlzVCalry3+SBv1iuY1BB6RcHtDfLwO1v5YMM+9P74STzNpOe8o4o55ZQpVFdX8/O34y3ntY1+/vHFfsgqifaw+abMhWOwizR/CHNM2NPOajf76zw8vnIbpQeMlKYl0HinB/loazXeQAgH2kReB3gDIf6wcjtpVjOeQ+PfcMCF2xukOBRGodnCt3FLQ7Rv19sbKrAY9fj0uugCx2LUUVEdb+l0eQPRfKDa7dXYg/7DxhWp4hdLgy+Ew2JkcJaZjeUu9td58PlD5NhMhFWVTeUNBMJhjKrK5oMuxhdlMK4onVy75u0rq/dgNRpQzHry8+zoQ0HO2LqOYY2NPHPdQgYN0vo62sxGJpTk4PQEWPe1JSrAK1xeDPr4F92g06pqxuKwao3cIyE9aSYD1YFw9D1o8gfJzjNBUKEsrJVad3oC6HQ6Ch0WrCY9I4scmEJGysIq72yoYOpxTvI6kfYqtM9Ak5HthdAfnuMTXw6+Zan77ZWNKIpCtt0YV7TopDEFWkn4bbWED113UIaJc48aHF2cp4oHuiseumSFprfnUenKNY4eksmanbWgKJgNOnzBMG5fiOkl2R0e29r1YsNUt9V60VmteACLw4GhKAc8Ad5wGbnl3Ck0Di/h+dV72RgTiXN8gnmXRw/JYPXOWnLt5ui4G7xBjhuSEfd8sm1mxhbY2VLhxnFIKe6J/O9k5ZxdOWNo1IPWWjGUzpBIGOiYAls0nzHdrMcbDIOqUmBsfsdiPYrJ8E73VpVtoXVSso9eb/QJEuLpTi+XzlyjtYlRVWHpUliwADZuhOOPh4cfhpNPbv08LXssQXzfl259n2BQKxn6zjvw8cdQVASnngozZ8Lo0W1qoCcsXEmTL4RRD+5DBT4CIRWDXmHOhKJO3ceLF63G5Qlg0CmUO70YdArBcBiDTscJo3Ljegr19DPrLHMfX4VJp2AxNduQvP4gZU4v50weFJ3o3914EJNOwWwyMKMkBzi8x1MifaDauwc7q9zR8F6jTqHW7SM/wxonTC8/fgibDzZGj99b08i6ffV4g2EKHBbGD0rHbDC0el8j/YW2VLjJCjTxP6//iQa9iefn/ohr5k6INmRv69lEnnPL3k8Oq5El186I7osN8YyMva7RxzHDskgzG6O/JeCw39fbrbRwkN53A5tkycdI1c3I+3LljKFcO3N0hz3LWv4m3/ymHKNOx9RhmdF80cjv2GHRseTLMryBMEa9Fjo2qsCRksUa+qqYRLL7V24qd/Lw21uobfTjD4YxGXRk20x895jiLvXdjH3ea3bWYNQr+EMqxwzLJNduiZuzu3MPN5U7efSdrVS7ffiCIcwGPbl2c9SL2ZvPJ9myN5Eew4mQyNqoZV+8fbVNKEC61ciQLK2idEs51N17m4prlSOJhDx6u3bt4he/+AU1NTUsXbqUzZs3895778WF+yWT3ugTJMTT0zHUHSXjzp8Pc+fC88/DvfdqzrT587WokfHj48/VsscSHB7q0JmcjMMnsYmUPnAihELw3//Chx/C7bdrrsaZM7Xt6KO1lg6HiOS0RJQ8naJg0oMvpIU7deY+RmL2dTodRRkWapv8BEPgDYbiJsbeiHvv7ASvHCpmEouKpvTGhm4kUgY6EStgW/fgyZXb+GpPXbTvlwoEVfAHQ1QGQtHKYlsrGuOOH55rZ3dNExnAqWPz475Hy/sa6S80Q+fi7MUPs2b4FJadciE/PXM08yYXU5Jnb/f9S9SSGxH4sQuBtioQtnw2z3y8u9v5FbFI5bTW6W0Z2RucMiafJr8afdanjNF+D4lUX2zwBiir95BhNZBjN1OYbo4qeaD9jrcddLHhgAu9TsGs19otfFPmYuqwzIQUmN5+F/uq4myyW9GUFmVw51lj4+7dmAJb1DDV2WIZsbIWBRRF4ZhhGeTa40Nwu1uQo7Qog9vnjGnzmffm82lN7tS6fdz3+sZON0yH5min7pLI2qis3hMNswYtR+/jbdW4vUHC4XCrcqi791Za8/QtCSl699xzD3feeSf33nsvAOPGjeP222/vMSHWW32ChGaSkXDbHokoJQaD1vf80kvh8cc1JW/SJK3x+v33a/1KIbmhDh0Kn2OO0bZbboEdOzSl78knYf9+OPFEOOkkmD492hYiUoYfIBDWqjd29j4WOCxUNXjxH6piZzbocKQZyUu3tJtUDcl9Zl0RzJHwGqVFWNDQLGtcKG0iZaATWeC0dQ9e/bqWsKr13gqFVTyBEIGgissb4IWrp0fH//4hr2EsWpsF9bBztryvpUUZ3GSvQffQb1g552ICZ87ld51YeHRGgevqQiCZITNSOa1teltG9jTtPeu23imzXokeU1rkiP5ezz9qECs2VWl9umJ+x9sq3ZqSdygE2azT2jMs+bKMe+dP6vL4Btq72N4iuTVPUEsDU2sKR8u56bHlW7tlNIycLzJnG/X6w+b1w5p7B0PsrHJz25L1zBpfkJBilCrtXVrKnaoGL1sr3ATCYaaPyO6z9zGRtVHL3+/oAgdNviBbqxrbbGXSkVElEaNLqjy7I5GEFD2Px8PkyZPj9un1+jY+nRx6uk+QEE9Px1B3RilJS4O77oIf/xgefBCeegr+/ne4+Wb42c8SWyAnuhBI2CumKDBqlLZdfbXW12jVKi3E89e/5jlLFv/QF7N2UCk7CobhVwyEwmGmDc/u9H08Y1xutIeV1ajQ6AtR1+TnkhYW3GQv4lsL++us8L98xrBoJTiXN4DZoJV7vmCqttiDxMtAJ2IFbOseeAKaUhlWodEfQqcoKISpdgf47h9XMzzXxg2nlrR6fGzp96oGL9urGql1+8m2m5rzVlUVXnmFEX/5C/zlSf5n6tRO33NIniW3LZLpDZDKaW3TFzKyJ3l7QwV6nwWj0YBOCcc967beKatR1+r7sbWisdXf8RvrDtCisCdGHXgDYTqirXfxxdV7yE23dMrL11+91K1V7X1g6SaGZacxflBGpxTgROVzR/eqvTk7NrqgqsHL2r31mPUKYTXc7xT1lnJje1UjKJBrN6NTFAIhTYm9dck6Zo8v7LV3KpG1UWu/3yy7hWfOLm0z4qm9tdSRZHTprySk6GVlZbF3716UQ7kyb7/9Nnl5eT06MKF3SXZ4SEu6opTk5modEG68Ef7v/+A3v4Gnn4Z77oHrrmt/gZzoorTLXrH8fK0j/He/C4EAY9av5/QXXufY9/9DTl0l2wpLaJwwkXDhMWx3Gzt1H5v8KtOGZbGtqpFGXwibWc+UPAdN/ngvU7KeWVsTdYM3QGmRI+6zHd2b9sJrWlqaOyoDHTlfe8KirXtgMeoJhrQeeTpFIRRW8R8K47SZ9Rx0eln41hYuP34Ie2sDccdn20zoFIVdVW62VrhBAb0Oihxmnl61i+snZjDmz49DVRU8+yykcJ5wMkNmetqD3J8ZaDJyf62Hp66bhM+jI6fIz+DRPjKHuGlyVLN22w5qg400+YNYjQaOHqK9Y898vJsce+uV9Vr7HVuMWksSc0zt70BY2w/t5y219i76gkE+2V7L6ePyE15w9uQiNVkKZFtj3F7RcFjhjeoGH3tqmpgxMvfQvsSMMS3lc7Xby4YyF/5QmMeWb43mACdyr9qas2Ovsb2qMerJzbCa+oXRKPZ5mvUKB5xehuXYSLcYqHX70eu0SJVqt5ev9tRj0iug0uuKT0fGw87KhI7WUmIATH0SUvTuu+8+7rnnHnbu3MnJJ5/M4MGDefTRR3t6bEIv0tMx1N1RSkpKNI/ebbdpHr2bb9ZCOx98EL73Pa1AZksSXZQmxStmNMIxx/DKVpU306ZjbWpgUsUOTqjcwxmv/pUrm2pI+2iKltd31FFaz760tDZPV1bvYfKQLI4a2lwFLayqrYYOJuOZtTVRl9V72qxc2h5tCfrY/Yn0kEuEtu6BLxBk1dZq/KEwJr2CL6h5CUwGrTF6WFWxmQ2s3FzN/eeOjzv+zrPGAnDf6xsJhMPk2s3k2IwcdPkY/PVqPPf/g/IfXELRI49oz74NUsVTkKyQGamc1jYDTUYOzrbyg1/uouxbB2XbLezZYmLdqiKgiC8Aa7aX9OIGSkr9bBzppXaM0uH70fL3cMa4XJaur8AXDGPUaUpeKKxy8bHFHc4PrV1r44EGstI6t+DsqUVqMhXItsa4t87DmHxb3GdVVdWqKMaQiGcukqMHmsK8ZmcdCjBtRFZ07GlteGwTvVexa4AGTyBatGVisaPNcbakvTk1mf1bWzumZaVZnaLgD4YodwbJtpsocpjJtVv4bGdNVIlNtxpSUvHpjEzoaC0lBsDUJyFFb8iQITz33HM0NTURDoexWq0sW7aM4uKeCzkSep+ejKFOhlJyzDGwfDm8+66m8H3/+/Doo1qFzjPOiP9soovS7nrFIkLj32v3sa9OK0esWu18OmwKnzCFrVMKeHzeGFi/Hr7+GhYtgq1bYcSIZsXvqKMgK6vTY4fEnllHgq2tiTrDaog2SE62lzeRMtCJjB1avwc3njGaarefDQec+IJhVLSwMIfFQCisNdNtrSltdYOXF1bvwR9SafAGmDY8C71OYcO2g3zvg5cZdWAbfzj7euwjjuaa6qY+8RT0FT3t9e/PDDQZedbEAvbW7mLaaC+nWwys2lpFXS34KzJwldlx70+nZo+dz77R5qRXfwOFg+zYil0MGe1nxFg/GcVNqDbt/Wjt96DTGThncgErN1fjDYSxGHVcfGwx986fxMWLVrc7P7T2LtY1BThhZHyLgI4WnD21SE2mAtnWGI16hepDlTMjudwhVcViiI+HbSk7WnsWKzZVcWZpHlsrGlm+UcudnjDIEVdA5/NdtZxRGl+gqjP3KtGiLW3R3pwKiXkbuzovt/Y868x6tlc1MjQ7jVF5NipcvkNtQfyY9Tp8IZUJgxJXYlOVjtYjYgBMfdpV9NxuN4sXL6aiooIzzjiDE044gcWLF/Pss88yduxYzj333N4apzAASIYiqSgwZw7MmgWLF2shnWeeqe176CEw5WuKwcZyJ/tqPIwpsDMs19bmorQ7Cmis0Nh/SMmLNAIw6hUCIZU3v6nk8UuP1Yq2nHQSAJt3V/LVm59g+GY9Yz78K2Mqd2IbVBhV/M4ZNJL/t0XrBdfdBXUigq2tiXr8oeT6nvDyVri82E069tc1RRcpmVZDnOLVHWWptCiD+8+bwIur9/DR9hqq3V4MioJOUQiGIS/dRIMvhN1siF7DqEcrJINmyTbpdXy8rYb8g7u56d1n2Vk8igcu/T/SMtMp7qCSauzCIDbP777XN3L/ueMTvoep4hUEqZzWGgNVRrZ81v5QmBMmZLAuo46hkxpQlIOoqkpdHYzUD2HTN3oGBQex+vN0PvhCzweHzuPIDPPfKTrCWXVkDclj5NggacP9MQvmNDbcf+xh149UHo4l1jDT2rt40qgcTB0oOS3pqUVqMhXItsY4Lt/O2v31cbncnkAo+vm2ZEdbSujWikZumTUmOvbYtjbpFgMqKt/sr2drpZtGXxCb2cCYfDtThjQbKRNlcJaVfTUeGjxBsm2tF+NqSXvKc+TfHSnWXVXAWz7PareXzQcbCIVh+ggtDz+sqgSCIXSKDhSFqUMzoopyf1Z8OjLw9VcDYLJaWvQH2lX07rjjDjIyMjjqqKNYsmQJf/rTn1BVlaeeeorS0tLeGqMgHIZOB1dcARddpBVrefBBOPpolXEnhZj9Axg31EGaUc+WCjdNgRATBmW0uSjtqgIaKzRUmpW8MFrlTb0CwXB8Xt2mcidPrzlAxuAxpI8azyZvEFejj58MDjPywA746CNGf/0EvwyqbMwvYUthCXmlpeRNncDbGyp45uPdnVrwJyLY2puoe8rL6zAb2F3TRJpJj0mvIxhS2VvrZXhOc0hrMqziuekWxhTYMekV9td5MIahIN1EMKzS6AsyqdgRvcZnO10Y9Qr1TX5WbKok02LguM/f5cKv3+GVUy/m45Jj8XvCnDjImLCnIFp0wKDDZIBtFQ1c+8JaThqVwxUzhrX7PVLRKyiV0+IZyDIy9llHerk5LEa8gRAWox5fMExWtp7CIhdjjzZyyywAPS4XfPMNrFsH69bpWLcOvnrLQdCnKQQ6nUreYD9FJT7sgxoZF4QpU7SWpRHdIpEy8S05cVROXMGnRBacPbVITaYC2dYYh+ba0OuV+FzuwQ6Ks9LIsBrbNMZ0pIS2NfacNCOf767FpNeTZtTR5Avx+e5aZrTworZF7Hw2rjBx+ZzouBNRrLuqgB9WfKWyEUVRyLYb0SkKGVYjw3JsZFiN/PbiYTy9ahcmw+GVR3uCnjYGdmTg648GwGSljvQX2lX09u/fzx//+EcALrroIk466SQ++OADzGZzrwxOEDrCYtFy9/7nf+DC6+pY9Z9Mtn6Wycnn1XPGJXqySsxkWJPfHHrZ+jIWr9mDPxjCbtEm/1hlDyCkgkEX32C9LeXlda+RW773PS3pUFUpX7uJ8mWryN20gcK1H2J/ZD9DCgfhHDGasqLhvLZ+GHz3FEqHtV/wIRHB1hcT9eAsK7tqGgmFVXSKlpujojI4q3kh1B2reOyiorTIweCsNDYecNLoD+H2BaPVyN7fUh3t71fV4KXG7ScYDHLs7vVcuH4FKnDX/FtpyC0gzagjy2akpilAQYKegkjRgVBYpbzeh8mgI8tq4NsDrg6VNklyT30GuoyMLCK/PeBkf52HQoeZ+ia/lvOqwrDstMMWsQ6H1nnmxBObz/Pbt3ewe7dCQ5mNAzvNHNhpZte3FpwfODj779pncnM1hW/yZCjKGMfWqu0Eh/jIciiHlYnvKPww0Xmsp+a+ZCqQbY3xmY93t5rLXe70tivvOlJC2xp7nSdIvt1MIKziC4axmfVk6rQ852tndtz+quV8NjzXTpYtcfnc0bgTyQ/99oCTbRUNTCx2JBwy2to9qXb7MOp0jMprzpGMLTzU8nlNG57ZrqG2q96l3jIGdmTga+3/UykapSWJpo4MFNpV9AwxDaH1ej2FhYUDRoAJA4usLJj63X2cOL+Od17I5cN/ZbHm7QxO/14tI08rT/g8iUxOEWuQqqJZtgNh9Iqm2KkAqtYgXAXOnhSf05CI8rLpoIunt/vJOOpk0o8/jT9trcLj9nB2mpuRNWUM3r2N0tUryHj2QZg6QesoH9lKSiCmrHuscGyzVQC976mxWYxMGuTgmwMunF4tdHPSIAc2S7Og7o5VvDUlyWrUsb/eg1Hf7CWIvUZTo5cZ367mgg0r8ZisvDJlDp8PGU+a2UiBw6J55fQKtW5/wp6CWrefrDQDe51eVCDfYcZs1OP2hcjoIPxTktxTn4EsI1saS9KMerZWuMmymQirWr7riDx7Qgu4s6cU8LRzF8MH+Zl0coziM3kEvsoM1q3T0pjXrYM//Qk8nixgGgDmLA/Zgz2cOM1I/eB0/huGd8sq2w0/7Aw9MfclW4FsbYzFmVZ2Vbk52ODD7Q1itxgoTDczIs/e7rk6UkLbGvt1L64lP92MLqb6WTgcPizPuS26O591NO62/i/2PZ4yOIMvdtWxekct00uyMBsMCSngLe9Jjt1MYbo5LocxVjbFPq+OlLHueJdS1RiYitEosXQUGj7QaFfR27x5M1MP9YdSVRWfz8fUqVNRVRVFUVi7dm2vDFIQEkFbtHu59PYKZl5Yx7Jncln2TB6Zr2dydEAL9WyvtVWik1OsNajc6cWg0yZYty9AIMShwh8KZ0/K1/LzWoxx3b66VvMcIkrm8o0VGPUKEwY50ClGAiEVi83CapMd9aQJbD9pNmFVparKycJJFti4Eb76Cl54ASoqYPToaM+/8zMKWFSjp9ac1mqrgL6aeE16hcoGPyPz7NHG6pUNfrLSTDy2fCtl9R5MeoUKlw+y0zptFW+5qNh60MXXe52gwNgCe1SYXn78EA4cdDNx1Soefv0V9qXn8fSMi9g9fBxNQRVCKmHgmGGZbK9spNrtI8du7vC+RRYG972+kRq3j5CqMjjLQprJgDcQwm4xkG4x8NmOai7eWXOYJXdTuZO9tU18vbeOXLuZUfk2cu2Wfp3rMRAZyDKy5SJyRJ6dbHvXIiTaVXxKIbZlbigEu3bBhg3w7bewYYOVDRusvPYC/PNZ7TOKMorcYj+Fw/0UDfdTONxHwTAfTpsrWV8/5RlTYOPfa/djMxtIN+txeQKU13uYc6gVQlskooS2plh2JZw2luJMK7ur3Rx0aT1WHRYjhQ4zw3PbV0wTHfeZpXmHecVKizLimsFnWI1ML1H49oCLdftczBpf0CUFfHSejQNOb7u5kBE6UsY6612KNUZvPOBiyhAH0GwM7Y4xMBSCzz6DFSu0ZUVtrbZmGjwYJk3S6iGMH98cYt0WqaqARmjtXa5q8BEIq9z+yrqU80B2l3YVvU2bNvXWOASh28Ra/AqHq1x89x42fGlm6xvD+eEP4Xe/g4ULYe7c1ieqRCeniDVIp9NRlGGhrslPKByOKnmghSI6mwKHXSPNpLSa51CSlxZVMsNqGFQda/fWM3VoJnaLAZ8/iMvbfL4Gb5CC/EyYPEaLdYrQ2AhbtsD27bB9OyO2v809m7awzRXigD2HcHo6poJ81EHFVKRn83nDAUovOlGLt+po9k4iCs33KoIvGGLjQRf5GdZoCetIgnu5M9imVbw1L2xLb+C6Mic6nYLNrEen05FtCjPiwB50T7/Nffu/ZHP+CB6c9WP25A9Fr1cABZsJPD6tjHa2zUxpkR6nJ9Chkhc7nlF5NtLNWqiPqqp4AyF8wTATBjlYv6+OTQcbGJRpjbPk7q9rYvPBRgrTzbiaAjg9Ab7cXce4wnR0Ol3KJ7kfSQxkGZlsj3KinjO9Pmqn4vzzm/cHArBtm6YA/uX1WvbvNHJwt4UNn9pRw9rcpTeorPyN1sFmwgRtiwQ6GBKqMZ4cesOjsbWikalDM6OKU4bVyNgCO1srGpnXwbFd8WJeOWNo1NOUbtYfFk7bES0VU6cnwIF6D7MntK+YJjLuTeVOVmyqYnyRI1ocZcWmKkry7Ie9x3npFk4ZY+4wxLXl+dtrr9Cex7aj31FnvEstx7GtooE1O+uYMVLpVChqS/x++OMf4fe/h927tRoII0Zo7YIDAfjvf+GZZ7TPTpoEN9wAP/whtBW8kOrRKC3f5aoGH5VuH8cNz05JD2R36cWpTxB6ltYsfr+8Po9x9xt45RX4+c9h3jw49VStJcO0afHHJzo5xVqDbGYDNrOBdXtq4xSXMPDBtlquemY1z109I7p/5ebqVvMc3v62ktnjCw8pmia8gRBmg8L2qkZG5dlYs7MWu8XQcXK3zQZTp2pbZJeq8tpf3qPE78TsbYL6Wuw1FZTu2YZ++QF44SHtg8XFWkWEnBzIzGx7s1q7rRT6QirTS7LYWdUUte5mWI34gmqcoh1JcG9LILe1oDqzNK+5MINJR9rBcibVlzHZU8XogzsZcmAn1Vn5rC8Yhf2vf+HYkhLG/3s9zp1aafGIl7Ha7SM7zUS505tQ+FXseIx6+PaAi4MuL+lmA43+EPnpZoZlW/n2gIvNBxuwGnUYdAo6nS7Okht5F+wWQzTcttzl61TFTkHoDqlWNt1obI5Qn3SygadX7STDasSiGNm1Q8+e7QaGUED5bguffgovvdR8rMkEY8Zox5aWNp9n9Oi2F6vdoTc8GmX1HvzBEPvqmmj0BXGaA2Sn9dxiOuJdivWa3Xj6yIRzmrZWNHL0kMxoqKnDamRMfmKKaUe0d7+T8R63ev7stIS82x1dvzOe0pbjmDDIwZqdtWwoc3HKGHOXckFXrYLrroNNm7TC4L/+tWYMz8yM/9yePfDmm/DnP8P112tVzh96SCuI13I5kGpzR0tavsuBsMpxw7OjFWRTzQPZXUTREwYUbVn8Lr5Ysw4vWgQPPADHHaft+/WvYeQhg2R7k1OslybXZmRPtRtotmx6D/Woja29ElZh1bbauHFUuLyt5jlsPNgQLQoyKt/GV3vqMekVGjwBTAY9Q3PSGJRhSVjhiGXTQRffhtNY5dWTay9iVMlkcu2W6HedeuZoaGiAsjIoL4e6Oqiv1/6+aZP29/r65v3hsFY5obBQ2woKmv8e2Wy2dscUudfHl+RE9y1df4AcWwvLZgdWwJaCL1sXwlC2my8/+4ip9Qco2r6RoZV7ma6zUJ43GFfxMD6ZNovdQ0ZToZpwWI38pKQEgMtnDOOgy0e1W7OQmw16xhU6uH3OmITvdWQ8gVCIr/c6MRt0FKabQVEYkp2G1aBjQ7nW2NmgA5NBR7nTS1GGJWrp3lfXFH0X8tIt5KVbokUWBoLQEfoHiRYU6YuiCy2NeuMmWLn5e7mUFsXkTDVo4WebNmlbJML9lVdAPWSV0+u1+T9W+SsthXHjOpzC2qU3PBpNvgAfbavBbNRjM2m54h9tq+GUMbkdHrvow208v3pvVAZcOWNoQgVVvtpTy8YDTryBMDVuH1/tqU1Y0Sur9zAs1xaXQxhW1aTck/bu99UnDe92YZzuPM+Ofked8ZS25p2cNiKLdfudnV4bhMNatfL77tO8d0uXaobwthg2TFPwrrtOC+28806tdtySJVpebW7Ma9cfWi7Mm1wcfXdvf2VdSnsgu4soesIRg8kEN94IV14JjzyihXL++9/wne/5GTd3PweCWmW5sQV2huY0996bNjyzRdiGgWE5fhr9ISrd/nZzFMIQF/PdlvUuw2qkwRskw2ok127hmGGZbChzgaJ5uO48a2yXFk8RD1O7YYCKooVuOhzaKqcjvF6oroaDB5u3zZvhgw+a/63TxSt+scqgzca5ZhdPfrKdb+ubcCpGQjY7fouNwiLHoRsXRh8M4G1oYqQR2LtXUzJrazWF85DSOfGTzeQGGrG4XVgb6lEaGthjyaIyIw/j6JEsn3YW6zKHkDsoh20VbrJs5jaFaWlRBrfPGdOtRWtEEH++y4XZoMNi1KOqKm5fiGE5NjaWuzh9XL5WHMftwxcIY9BBXZMfm9lw2LsQIZWsocLAJ6K8uX0Byuo9OCyGVkvgdzdEsTtKYkfhh+npMH26tsXi8WjR7RHlL/LnsmUQDDZ/btiwwz2ApaWHezpaozc8GntqPeh0CoZDosSgg4BOYU9t+4vTRR9u4/GV2zHp9TjMepp8IR5fuR2gXWXvgTe+4flP96LXKZj14A+Gef7TvQDcO39Sh+Ptbo5eR+du6353pjBOW+9jd55nR9fvjKe0tXFYjAZmjy/sVN6s1wuXXaatfy67TFPU7Ak+BkXR+hh/+SU8+ijccw98+in85z/Nv7X+1nIh1T2Q3UUUPeGIw+GAX/5SizO//ec+/vGCEeXl4Rx/dhZjZ+9jy8F6mgIhxhdpC5vWwjbGD8qIC9soWbCMcMw1YtvnxS6AzhiXy4uf7QPirXdXzhjK5oON2n6LAaNeT0mevVMx4q0JqdixJy0M0GLRsrMHt2GdU1XNnB6rCFZUwCefaH/3eLDUN3FWmQtUsAS82HxNWP0eDGYzdj0YFJWAoqcRPXqLiQ1GC0p2NoXDC8kpLtDKrObn456azl6DFUNuDt70DN6vUan3hdDrFEJhVauUqao0eDVFK1Y5b02YJpq70tGCwOUNkG7WpldfMBwtvlLh8jJ9hFYO/ajBGXy8vQZVVQiFwzg9gVbfhVSyhqZyyWwhObTsdxZ5/1p71t0JUeyrynxWKxx1lLbFEghoqc2xyt+mTfD++9rCOEJR0eHK3/jxkJfXHMLWGx4Nty/I4EwLTm8QX1CrXDzYZsLtC7Z73POr92LS67GZtcpkNjPg0/a3p+gt+bJMU/IOaZZmnTa3LfmyLCFFLxk5em3NP8m43+29j909f0dypSTPzoySnOj3Kmmjcmoyvmd9PZx3nhay+bvfwc03dy0TQ6+Hn/0MzjoLLrhAK6j0zDOa4gj9q+dqf/BAdgdR9IQjlqIiOPb7e8g/CT77Vz6rl2ay5u0Mjp1bywnfd3LLLM3b88zHuzt0658yOpsPttXSoj86w7It0YaqAE1+lQVzx7ZqvWspxDoVntmGkHL7Aowr1LxkyQgDTGihH+shHNO6lfGWRasPeTabLWiuRh9p4SCnTChiX0MAk0HH9ko3vmAYXzCE2aAn126OC6UcF/O90y0GqvaVY9TpUCDOo9bgCzI8J41yl4/SIke7wjSRe9DRgsCk1+ENhFAUJVp8pcGr9e+LeOtGF2jP5cs9dfiCYRxWY5vvQkd9mHqDVC+ZLSSHzihv3QlpS7XKfEajprS1DGoIhbQCFS09gM89B2538+eys2OVvwwmFIxmb0MFB7wNDM5KvkcjEh0yOCstus/pCXRYBdPpCeAwx5efthoVnJ7Di4fF4g2EaXEYRp22PxG6m6PX0fzTlgcp0XmrvffxllljesxD1Zl5tbuestpaOOMMrZrtSy/BJZd0e/hMmQJr1mi5epdfDlVVmvLYn+hvHsjOIoqecERTVu9h8BALF99Syenfq+PdF7NZ80YOX72dhedruP32xNz6z109g6ueWc2qbbVRz97QLDPnHz0k+pnIAuiWWWNaDcvojgWsLSFVVu9JWhhgMhf6rVUas1uNVLpV/nfuBADu/vd6qt1+0i0GHBYjvmCYXdWNvLh6Dw9eoFUabau/0faqRtIOWZ59wTAGRWHzwQZCYZg+IjvhsXfkJYXWFwQvrt7DR9tryEozctSQDEwGzYJ95YyhzUViLAbyHVZOHGU4bBxt9WEy6OCDLZX85+syTh6Vw+UzhvWaMEq1hbnQM3RGeetOyFOqVObrqFl1JI9v5Eg455zm41RVS2tu6QH85z+1BTXYgBLS0zXlcf345kqgEybAkCHdq2nV1SqYGVYjTb6Q5sk7hCegxj3D1rAYdfiDYczNWQcEwtr+ROhujl5H809b8jPReauj97GnPFSdnVe7Og6nE2bP1t7RpUu1vyeL3Fx45x3Nm3fLLVrx77vvTt75e4P+5IHsLKLoCUc0sQuV3EEBvn9nBdO/U8mnrxTw0EMOnnoKLv/RUNSJ2yC3/Z45sdU1H1u+9TALaU/GfLclpBwWQ3Qc3S2okMyFfiKVxr7e58Ru1mMxambkiHfu633OuHO1phQZ9Qq+QAgOedQMOgVFUci2G6lx+6IhrPe9vrHNENZEvKQRWi5Qc9MtjC204/QEqXb7mTCo2UJYkmeP3muzXsFq1LXrqYvcd38wxH/3aQVeMq0GNhxw9apHra13bGO5M9r7UMI5+z+dUd66E/KUCnkxsc2qbSYdOyvd3PHPb1i2rpwbzxzd7nusKM0R7LGLZlXVvBoR5S+yvf225gWMYLdr3r/YNhCdUQC7WgXzyhlDtZw8n+bJ8wRU/KEQ188Y0e5xFx9bzPOf7sUXDGPUaUpeKKxy8bHx1+uJPDfoumEg0eP66n1MtsGjtfs/JD2Ds8+G9evh1VeTq+RFMJk0L6HVCv/3f1o129tvT/51hM4jip5wRNPaQsWYE2Dx31VCNVpFqj8+ZsGRMZETz69h5GnllAwyt+rWf+CNb1jyZRneQBijXqHIYeaUsQW9EvPdlpCaMCgj6oVqKyQhUU9ddwVSrADKSTOyt+ZQHlob1mgVFYX4FY9yaH9bRDx8L6zew8eHPGpHD83g8111GHU6ctKMrN1bj9mgIyvNQI3bF/ddY8e4t7aJwnRzp7ykieQ3RRTT2M/m2A0d3vc1LQq8NPi0MfSWR621d2xvTSP7ajwUZ6ZJOOcAoTPKW3dCnlIhLybSrNqgUyh3+jDoNMPLV3vru/weK4rWfyw/P74RPEBNjab0fftt859vvgl//WvzZ9LTm0NAYz2AgwcfrgDGVg5MlEgeXmzVzetnjOiw6mYkDy8i4yxGHRcfWxyXn9eTeW5dVcQSPa6v3sdkKpit3f+nlu/mi0UT+GqNgSVL4Oyzkzn6eAwG7V32+eCOO7ROTT/8Yc9dT0gMUfSEI5p2FypF8K9/wddfw733Kix9PpeMV3O58UbInxp/npYVyQJhld21Hhx7axlV4OjxmO/2hFRHIQmJeuq6I5AOazhrNjD4UNXJtoqjHD0kkzU7a0FRon3tatx+Mm2muEqmreUx/PqCyfGK5aGQzoMNvqiy5A2EyLWbo8oSEDfGr/fW4WoKYLcYyEvXFFxfMEiVy8t7Ti9ZaUbGD0rHbDBE73VnvJ6dve9ubxD7oSQZXzCMw2LEGwiyZldNp7xpXS2o0to7tqXCzZgCu4RzDiA6q7x1NeQpFfJiIiHkZU4vBp2CQa+gU3Q0BUI9YkTJyYGTT9a2WGIVwMjWlgIY6wE05br4b+1BDjg791u+dubohNoptKTAYcFhNaISwGE1RiMwInPK8o0VGPUKEwY50CnGuPmgu3luXVXEEj2ur97HZCqYLWWKTW/ir78dzN5v9Jx94x72pPvYVN6zERd6Pbzwglb05Uc/0t75c8/tscsJCSCKnnDE09FC5eij4Y03NIXvV7/Stsce06p23nab1jmgtYpkBMNsr2rk1Z+e3Oa5k/kduiqkEvXUdUcgtabUTCzOjKtc2pIrZgyj3OmlttFPgzdIMBwmoKqMzLMl5D1qLaSz1u0nK82ANxDCFwwzsdgR/a4tx5hrN+P0BNhe1UheuoVqt5c1O+twWI2UFqWzqbyBT7bXcvKonOgYEinc09X73jIctTjTwhe76rBbDAl707qTZ9naOzY4y8qw3PiGYwOp/9CRSm/lq/R1XkwkhNwfDGPSa3N3IKRiNxt69T1uTwGMKH4RRXDpUnj22cgnHJjTbBQO85M92MvrxQ38cL6e+afZycpK7hjbastQ4fJS16QpxmE1DKqOtXvrmTo0k7x0S7fvY6xhyucP8mVFAw2+YDSfMpE2CWeW5rG1orFD2dgX72MyFcxYmRIKwTO/ymPv+gzGXbSZ0+cpOD3BXom4MJk0I/npp8P3v6+1X5g8uccuJ3SAKHqCkCBHH61NXhs2aI3Wf/tb+MMf4JprwB0yYsv0xX2+MxXJkkFXhVSinrreUCZbXu/Os8bGhVKOL3JE+y5Fxvvi6j3kplva9VBFxn7f6xupcfvItZuZWOyINo4vzrQeNsZR+TY+3lZNhdNLgydAbaMfo05hQkk2eekWChzN9y1yvc54PRP5bGw/s1BYpcrto9Bh4eihGWw80IAKTCx2xFV2bc8L0d08y5bvWCQXdaD2HxIGNtGCJioEQyHCqoI/FOa4EVkp8R7n5MApp2hbLNXV8Ivn97Frux7ngTQO7jGxdY2DRlcWHzynfWbIEG1xHbuNGaOF13WFttoyLPmyjO8eM+TQvGLCGwhhNihRA1lrYe1dMUwZdLClwo0KnDAyG7PBwIpNVZTk2TtMRVixqSqlw8l3VrlZvbOGCpeXvQ4LYwps3ZLl6WYjr/y+gC2fZTD2vB1MPqMOnZLTqxEXdju89hoce6zm0fviC60FidD7iKInCJ1k4kT4+9/hF7+A3/xGU/bCnEb65P0UnrwLU6amvHSmIllLerNfWWdzcnpCmWzr+8Ze7/ZX1kUVsWq3l+2VjVS4PNQ1BTh1TB5Dc2wdLh5G59k46PTiDYQIhVWcnkBc2GXsGFUVQmEwGhRUVPyhMFZTfGW6dIuBbw80FyMx6RUqXD7ITuvwXnZ031vm+xVnprGvtokChxl/SCUQUplekkWu3RI3nvaU52Qn/qdCntWRxJNPPsmSJUvIztZ6Md56663MbJkIJiRMJFT8jx/sZFd1I3azgROGZ5N/yIiTqu9xbi5YhtZy+iQLOkXr8aCq4KzR8e0GHdMzS1i/Xiu+8e67Wo9A0ApkjB9/uAKYn9/xNdtqy1DlDpNu0ZaSo/JtfLWnHpNeoeHQ3NqVsPYIscdsLHdh0CvUNwVYvrGSkXl2Ch3mw45v7Tp1jT7ue30jQ7PTUq5gVGxBoHy7CZcnEK2mmkj+ZazsNOsVyuq9bH51JJ+/k8GIWbsZNnM/o/Kb3bu96akuKtKKv5xyClx4IaxYoXn7UpGB3CO2a6tQQRAYM0bLodi2DY6ZVYdr3WC2Pnkye/81CVeZrdWKZIkQWeA7PYE4y+emcmfHB3eBiLcrw2qk3Oklw2pMuvXzrIkFUaEfVjUFa09NI9UNXn78ty+45R/r2FXlbvf7FmdaafAGqXZ7+WpPPd5AiCZ/CINOx5YKN7WNvqiAj+TcRYhW4zToOXGUtkj+dEct/mAo+l1bjvHbAy5MBh2zxhcwZ0IRYwrSsRj1bK9qjJ53T3Uj++s80WdlMugJqyqBYKjDe9nRfY9dsEQ8dkOy08hLt/DoRVOYNb4AcwvzfEdeiMg97Mwx7dEb744Qz1VXXcVrr73Ga6+9JkpeEpg3uZilN53MP6+fwSXHDcVuMfWL97jlb1lRQLH5OPHUIHfcoeVJrVun9fpbvx5efBFuuklT6t59V0s7mDVLSz0oLNQqMd5xh1Y5cfNmLfQvlgyrEU8gvhCWJ6BiMeqi48i1WzhmWCaKooBC3H0sq/dEFcIIiRimIsdUN3ipavBpxbhU8AZCbD7YwMYWcqLldardXjYfbKDW7e8VeQqavHls+VZuf2Udjy3f2u61IgWBMqxGdDodGVYjNrOB51fvTeg6sWsFo0HPuteKWfNGDlPPruKYC8oZV5geZwzsbU/1tGlaqPFHH2kN1lOR3l5z9Tbi0ROEbjJiBHzxVg63/XUTzy+yUvv1YFzfFjPyqAZmnJ6OqsZXS+uob1Nf9Cvr6dyElmGfJr1Coy/IhgMu9tc1oaDgC4biCp9ElLXYYypcPqrdPkx67Yb6girpJh17axvZVe0mx25mSrEDty/ebBh/T43kjz087LLlGFt6zEbl2/hydx21bj9hVaXBG2RrhZuxhfHFSIbl2NrNPYylvZCdjrxvXfGm9YQHrq/zrAQhGfS39zjR37LJBJMmadtllzXvr6qCb74h6vlbvx6efFKrmAhgs8FRR8HUqdp2Rv4o/rljExDfluGSaYOpa2pu4VNW52F/nQejXmH1zpronNaVYl6xx/iCYXSKgoKCyahgMerxBcM4PZqSGfHIbDzgYltFAxMGOchLt7C9sjHaWkenKARCIXZWubl1yTpmjy9MuuemsyGqrfWUTTfrqXB5O7xWrFxTVfjkH4X89/UcjpvjZPUbeWypMEUVmO62V+oOl14Kn30Gv/89nHoqnHde0k6dFAZ6j1jx6AlCkvjtD0up/mw4NQcN/OY30HgwndmzNSG5eLEWPhMJ03B5AnFhGsvWl0XP0xXLZ39j/X4nBw59HwUFnQ7qmgJ8U6ZZ0CIhkbFWtoi3zOUNEAipmI16TSA2+AiHQaco+AJhPtpWQ5Mvvodhove0tCiDW2aNadVjlmu3MK4wnWy7Keq9GpJjZWhO14qRdPQudOR964o3TTxw/Z/Fixczf/587rrrLpzOgWFxFjpPd3/LeXlasYybb9Y8Ll9+CQ0NmsL33HNw9dWagfLZZ7US+b+6ehjbH5nN9r9MZ/O/xtHw36GcVzyBO2dNio7ji921rN1bT7pZz5Asa9yc1lpUR6T1TFvEHmPUKQTDKr5gmCyrEW8gBCo4LAY2lTt59J2tfLClEo8/wJ6aJlZtrabC5aHa7QMVRuXZqHZ7+WRbNeVODwfqPXywpZKH396SVM9Na5EYrUWZRChwWGjwxbtPW/aUbYuIXFNVeOPPuax4KYfpc+s56Ye70ekSe0d6y5v18MNwzDFw1VWwZ09ST91tBvqaSzx6gpBksrJgwQK45RZNwXvkEbj8cvj5zyFrup/cqeZoo/DIn8+v3hv16rVn+eyK5S0VYs9bWjlXbqogHFbJspkwGXWEQiomPZQ7NStmgzeIyxtkcFbaYd6yRn+I8UUOMqxGFq9pQFEUFEVFrygYdBDQKeypPbwZ7u5qNwddPlzeAA6LkUKHOVrYpTVas5i7fSFG5dnwh7QQpny7uc2eeh0RG7Kjfb/4dyERi31XvBD9zXNxpHHVVVdRXV192P6bb76ZSy+9lBtuuAFFUXj88cdZuHAhv/nNb/pglEJ/pq2oEqOx2ft35ZXaZ0Mh2L4d1q6FtWt1rF2bwdq1GexcCwtfhUd+AhMmZHDssRls8+7APshEXr4fnS5+Tlty7YxOF/OKjbJIMxsJqSreQJj99V5sZj2j82xMGJTBi6v3sKu6kfRDESEmQ4AKl481u2rJS7dQmG4mL12TO/XeIAZFIc2k5RvurWnihdV7+PUFySkL2dk86GhBINruKdsWxZlWalxB3vnTYL5c4eCk8+o4/YcHyExrlj/Jaq/UXcxmePllzfB9ySWwahUYjR0f1xsks5dhKiKKniD0EGYz/M//aBasZcs0he+jV0ZgeGMII06oZNSpFaTnew8L02hrgT9teGa3qpYlo6F1V5XGlsJEr1MIh1V2VTei1ynR8uYGvRK14GZYDa1a2TKsWt86AH8wjM2kxxsMY9DrMeh1DLaZcPviPWFjCmz8e+1+bGYD6WY9Tk+AA/UeZk9o25rcMpTTrFcIqyomgz7a4PyA04tOURIqvtKSjkJ2UqHPmND7PPfccwl97qKLLuK6667r2cEIKUtX5/bOFv/Q62HsWG076lQngzZUcFSdB6s3nTx/AZW7bHz1lVZhsaZGU070xhBZQxvJHuEma2gDtfm1qGr3DFNjCmwsfGsLOXZzVCHaWd3ExdOGsHxjBXazHotRU94y00yYDTqCYbj/3PFRj1W504NBARXIsZm1z6sqX++r79SY2qOzSkPknscq3i17yrbFsQWFXHKjjgNb7Mz5QTXTL6jA5Q1wyXGJh+Inu0BXe4wcCX/5C1x8Mdx7r1bMLhUY6EXFRNEThB5Gp4P587XtjAXfsHF5Ads/KGTb+0UUTahn0In7GTHFHf18Wwv87lYtS/SYtuiO0thSmGRaDeyp8aAokGMzgQpN/hD56VohhNaqYIImMMcfKpzy9oYKTAY9qgoj89KwmbXpzOkJHBb2srWikaOHZHKwwYfbG8RhNTIm387WikbmtTPu2IXJY8u3YjToD/Mw+oNaD6mOlLGWSrLdbKDBF4paveHwkJ3SogzGFWawaxds3Qrv/wee3QW7d2s5NnV12tbYGH8thwOys7VtyBAYPVrbJk3SigjF5owK/YfKykryD5VIXLFiBaNHd77ptTAw6Orc3lEkQVvEzv+DMi00eD3s9mzjmp+O4MGiDFQV5j24lrKtVjxlGdTuTmf7B4WEg4MAKHgGxk8JYBnkxD7YxVFTw1x4Ql7CcmhrRSMjc9PYVtVIudOD3WxgdJ6NrRWNqKgoxE9qCqCixsnTYBjMeoV8hyUqL1Q47Nju0BWlYd7k4oQUu1jeeQd+8AMHTpfKD+4+QN6UKjLTrFxyXOeMgb3tzbroIi0s+OGH4Zxz4MQTe+QynWKgG1VF0ROEXuTW72ezMGsD485No+LzQez4qJDyDZM4OCzAH0JauEx6euvHdsXylkxrXXeUxpbCxGI0YNRrldkCYRWLUU+62cApY/Piipi0JTBbWnmDYZVwONxm2EtZvYdhuTZG5DWHaoZV9bD70J7Hsq17We4Mdlh4pTUl2WbSs6dG09AiFmq3N8hFY8bwt7/BV1/B119rlfNcruZzmc0wfLhWLW/ECC0UxmZrVt7CYS3XprZWa7j81ltaddgI2dkwfTrMnKkZH0pLRfHrLzzyyCNs3rwZgOLiYh544IE+HpHQV3R1bu9q8Y+O5n9FgZ+cW8DCt7ZQNLWKKWY9zqYwVXvMnOAYTfl2Gx9+EqJ2ZQ6oufwL+G2hl5NP9DPnNBPHH6+1emgrnO/bA05213oIhsIYdArBUJjdtR4MBidHD8lkzc5aUBTMBh2+YBi3L8T0Eq3CckReVDd4Wb2zFr1OQVXV6OdmHPpcMuhppaGhAe65Bx5/HCZMgJUrFSZOHAQM6tL5+sKb9dhjsHKltt7573+1nnt9zUBOaUg5RU/6BAkDmdgwjfCpOxh/9gGGu8bw8WvZ3Hijlsd3zgU+lNKDjC4NxnnO0g6Vse5q1bJEj2mL7iiNLYWJJxAiP92M3WIkrILdYqAkNy2a+waJCcxEw14SydHryGPZnXvZ2iJp/KAMcu0m9uzRse6jNHz7c/DszeJHB7Vp2WaDKVO0/M6jjtL6X40YoZVC13WyjJbbrbUBWbtWq3726adaHumCBVBSAt/7nhZiPKbjQqFCH/LII4/09RCEFKGr81GBw4LLE2g3kqA1Epn/W5uP//dHxcybnMVjy7cy+fsBzGEz+7aZ2bvZwo6NZj54P403/qUdb7FoBTuOP755G3xI36hweqlx+0kz6TEbdITCKjVuP+lmL7fNHkO500tto58GbxCTQcfQnDSumDEsbryXzxjGtko3u2sa8QZCWIx6hufYuLzF57pLTygNqgpLlsCtt8KBA3DDDfDoo2DtpuOtL7xZ6enwt79pxsbbb4c//anHLiWQgooeaMnoV199dV8PQxB6hFbDNO6CL77Qylu/9HcjwcBYhozxcvxcJ0ef5iLDCv5gKJqb1hfl9Luj6LQUJjl2M1aDgieo4j5UWbLJF4rzuEWO60jgJBL2kkiOXkcW6+7cy9hFUjAAu761snFNLt98lkZtmba/sBBOO0UTfiefrCl2en17Z00cux2OPlrbIlNrWRksXao1tH3oIS1f4sQT4X//Fy64IHnXFgQh+XR1Pupq8Y9E5/+25uOyeg8GHWysduE2BbEfZ+C8s9MIhOB/j5/CZ59pRqg1a+APf4Df/lY7btAgTeHb5CuCvBrMQxvRWzSDoF6BRn+Q0qIM7jxrbEL54zazgaIMq5YXbtBFQzhTFVWFt9/Wctq+/FKbw//1L+2eJIu+8GadfLKm5D3yiNZuYe7cXr38EUVqv+GC0I/obnXLadM0K1f6aRsp+yKPNW9l8srjBby2KI+jTnUx6uQq7r4qn3e+7VrVsu5a67qrNMYKk9iCAOlmPS5PgPJ6D3PaKbXdFg+88Q1LvizDGwhjMeq4+Nhi7p0/Ke4zieTotWexjjzbBm+AsnoPGVYD44syEr6XueY0Vi+3sH1NJpu/SsPXpEdvCDNysod7bteEXG/nzhUXw7XXalt5udZg+c9/1hLlR42CO+/UvHypUhlNEIRmujq3d7X4R3fnf5NeYc3OWuwWA3azHl8gxBe76pheks3QoTB0qDb3APj9Wsh6rPK3Y8coYBTowlgL3DiGusgpaSAw3E04nJiy8vaGCtLNBhr9oZgWPYaU7JfW1KQ1r3/qKS2Ef/hwrZDJVVcNDCPcpnInuTMryf3HYC653Mi7nzQyfVxqPYOBQkoqeosXL+bVV19l4sSJLFiwgIwMefhCapPM6pajBpvIy6nmlPOd7Nls4bM3M/j6fQefv53J+pfgiisyuPn7zSEtHZEsa10ylcatFY1MHZoZDaXMsBoZW3B4cZRFH27j+dV7o5bkK2cM5dqZzQUoHnjjG57/dC96nYJZr1XhfP7TvQBxyl4iOXptWaxNeiX6bPPSTVQ1+Nji9JJnN7f7Hd1uzWP2yivw5puj8HoVbJkBjprZwPCjXeSMqeens4dRWtTp25d0ioo0xe622+A//9E8fNdco4UGPfSQZnGVPD5BSC26Ord3pfhHd+d/rThKPOqh/S0xmTTD57RpcOON2r6b//ot738UxnMgA+ceBzXrCqlYownB3D9ByXgvnqwqdAW1jBzv58dnDjrsO357wMn+Wg9moy6qbG6tcNMUCLUcQp8QDMKHH2oyY8kSrdDWxInw9NNaPpvJ1PE5+gOx66XLf1bB4zcN40c/CbLkRWfKKdwDgT5R9KRPkDDQSGZ1y1jL6dBxKlnDGzjmeyHyq0bz7qtWfvYzLbfq1FPhiiu0MLv+Zgspq/cwNMcWlyPXUvFa9OE2Hl+5HZNej8Osp8kX4vGV2wGiyt6SL8s0Jc+g5ZuYdeALhlnyZVmcopdI2NFZEwt4+O0t1Db6o2E92TYTgzIsZFiNBEIhvt7rxGzQYTEorNxUycfbazhpVA5XzBhGaVFGC+UOvF4tJPPqqxWOO91NVdoByhsiHt9hKSfU9Hr47nfhwgu173HnnfCd72jv2qJFksMnCEcyO6vcrN5ZQ4XLy16HhTEFtoTnMF9IZXpJFjurmqJ50uMHpeMLtVT/WufaswbjZAu1jU78wTBGnQ6dK4NjrSP56FOVjz9VaaoYDOoQNgDv5jVywoxGLjzLxvHHaxWHXd4gKETbMFiMenzBsLa/F4mN/slQbNhqBrHpyzRee02rpmyzwbnnwnXXaSGOA83IFrteyhjj57SL6njv5RyeeGEff7wztWTiQKBPFD3pEyQMNJJZ3bJVy+lZgyktsvKLO7XmtYsXw4svan36brhBEwrf/z7MmaMltPcEyfRaFmdaWbevjq2Vbhp9QWxmA2Py7UwZkhX9zPOr92LS67GZNaFsMwM+bX9E0fMGwphbhLEYddr+WGFq0itUuHxt9rvbVO7khdV72HTQRTiskmbSYzKY0CkKFQ0+SoscfL7LhdmgI6yqVLv9qEChw8z63W7u+KiWwPY0Vq0w4vVqHrIf/UgrJX3iiZFQGzvQPzQlRdEqcs6dq4Vz3nWXVhHv/vs1r58hJWNBBEHoKTrbf68lEWPb8SU50X1OT4D89MRiw9vOw0vjYvtqTj45QBoWavfYqNmVTsV2Gx+/72Dl69rxVivYCiZjzHGTUeQhu9iLObcRfabWs7U3CAbhzY8aeOqVeur35rB/s40DOzSBne5QOXuuwkUXafNuWlqvDKlPaLlemn15Des/tvPS7/L57U8H9nfvC1JOXEufIKE/kuxeNO2F5IwaBffdpyVnf/65pvD94x9aqIfdrvWmufBCTVjYbF26fKsk02uZZlL4fHctJr2eNKOOJl+Iz3fXMmNkc5lrpyeAo4UWZzUq0YI0ABajDn8wjDmmCmUgDMaYcMuiDAsN3iBhVSUQDFHuDMaFHUUU2J1VbhxmA05PkNrGAHazEbtZT7nLR4M3iMsbIN2sKe+BALi257B34yDqN+cR9htIzwryox9peSYnntj5ypipiMEA118P558PP/2p5kn+z3+092348L4enSAIvUVX++9F6Mky/pGWETpdiIJxLgrGuRgXDlPR4Of5i06L5vm99REc2JVF+VfNueA6vUpmbpCtz8CwYUTzBfPzISdHa0cT+bO90ElV1fqZVlU1bwcPwo4dmnF2+3bYsgWamtKBdEzmMEPGeZl7VTWDxrsYNynI7Wf1D0Ngd2m5XjKZVebdUMbzd4/g3nu1lAEheaScoid9goT+SF/0olEUrR/a9Onwu9/B++/DP/+pVVH8xz80C+ZZZ2mheGefDZmZ3bteMr2WKzdXk283EwhrvYxsZj2ZOgMrN1dHvXUZViNNvpDmyTuEJ6DGKdMXH1vM85/uxRcMY9RpSl4orDK+KP0wpXRYjo0Mq/GwnncRBbbBG6C+KYBRr8Nq1FHV4KPBGyAYVjno9OL1hqkoc7D7iyE4NxUS9hrRW/3kTD7IsGm1TJrm48kfTuv0vegPFBVpld5eflnL3Tv6aK033/nn9/XIBEHoDbrafy9Cd3P82osoaatlRGGGhREjtLY0l14K15YHeXrVNiyqGU+1lT07DJTtNlCgy8ZZBatWwf79EGojZU+n05S9yAbg82mb39/6MQaDdv1Ro7SKyluCe5kwOUThkAC6Q3bMsKpS7kzsPg4EWlsvZY1s4uIrfDz2mJmLL4bjjuvdMXW3mF4qk5KKniD0N/qiF00sRiPMnq1t/+//wccfa0rfv/+teWD0ejjhBE3hO/tsLV+hs3H/yfRaVri85Keb0cW4vcLhcNyi4coZQ7WcPJ/myfMEVPyhENfPGBH9TCQPL7bq5hnjctla2cSanTWkW42MyrORl27BGwiyZlfNYRN5RIH1BcPoFAWDXkFVFRr9QRo8IRr3ZBLcUUzl+jyCjWZ0pgCOcZXkT6kkbUQNxTlmgmEVt79z5Sn7SrB057rf+x4ce6z253e+o3n4HnxwYHgvBUFom67234ulO4XB2osoSbRlRGlRBmeW5mkVRz0HKRhn4b4fDmXe5GYFNhTS+tRVVUFtLdTUaFttbbNCF9lUFczm5i0tDfLytC0/X9uGDIkPdX9suRenJ4BOn5zon/5IW+ulQWeZ+Xil1gLoq696r/hMMtNSUpGUU/QEob/SF71oWsNg0IpnnHoqPPGEFrKybJlWHOSuu7StuFhT+GbP1qyMeXkdnzeZXstEFg0Rz15s1c3rZ4yIq7oZOZfDakQlgMWoY0dVEya9DlVV8QVCrN1bz4icNLZWuLFbDIdN5BEF1qhX8AbA5wHnthwqN+Ti3pZP2GtCZwxROLEWx/hydEMPojOGSTMZyE03odcpBELhTuV59JVgScZ1R46ETz6Bm26ChQth61atNYPkVQjCwKWr/feSRXsRJZEojY5aRmwqd7JiUxXjixxMH5FNgzfIik1VlOTZo/OfXq8pZ0OG9Mz36Ivon1SkrfXSn/6k1Rx46CG4557eGUsy01JSEVH0BGEAo9PBjBna9qtfaZbKt9/WlL5//EMrtAFaCefTTtOUw1NOgdzcw8+VTK9loouGa2eOPkyxi6VlZc7apiB1jQ1MGuzAF1QxGxTMeoW1e+uxmQ1MLHagU5S4ifysiQU88s8y6r4ayv5vHNRtzUEN6tFZ/KSPrqRwSi0TpnkwmMN4/EEOOBUmDspia6Wb/XWeaCGZ8Z24D30lWJJ1XbNZE8hjx2pNb2fO1IwJh9KrBUEYYHS1/16ySEZESSos6Ps6+ifVmT9fy3P/1a+0P8eO7flrJjMtJRURRU8QBjjL1pfFCecrZwzln/9TTCAAX36p5fZ98AE88ww8+aR2zIQJzfl/xx2nKYIGQ/K8lslaNLSszKnXaWGX2ysbOe+oQWyvbMTp8eMNhjm9NItcuzaZN9Tp2b3Bxn/XmHlqRwY7dmjfyZDhIfeYMoYfU0dd+gHQhRmcY8Ng1hIFFcCs17GjqhGHxUhxhoUGX4gdVY1cdGziFtm+EizJvK6iwK23arknl1yiKXsrVmjeYkEQBh4leXZmlOREFZSSmL6kPU17nrBEK4KmyoI+VaJ/UpXHH4d339Xywd9/v+dTA5JdTC/VEEVPEAYwsQLQZtKxs9LNHf/8hmXryrnxzNHMmJHBjBnw859rOQdffKEpfR9/rBV1efZZ7TxWKxxzjLZNmqQpfhMmaFU+u0oyFg0tK3PqFeBQL71cu4Vcu4Xq+iBrKoOseyePiu029myyUFOuBf+bLGFmnwn/+79wwLaLRksdFQ1aE/dwgx5PQMHlDZBtM+ELhnH7QmTaTIzMtXGwwYfbG8RhNTIm//Bm7+3RkWDpqfy9nhBo556reYnPOUfr+bRypVZ8QBCEgUNf5zG15wm77/WNCVUEHQgL+oFcNCRCYSE88gj8+MfaGuRHP+rZ6w30cFpR9ARhABMpiW3QKZQ7fRh0Clajjq/21h8mpE0mrS3AiSdqx6oq7Nyp5fh9/rn255//DE1NzecfMUJT+kaPhpISbRsxQiu9314/v2QtGiKVOdNMEGwyEqqyUVthIlSbzh+W53BglxlvTRqoWuUZe1aAEeO9TJ1TS9aIBn5+ZT5ThmnXu/0VF35viP11Tbh9Qcx6HWa9QiCo0uANYjLoGJqThkGvkGbWQ0PzONLM+k5ZhdsTLD25oOopgXbKKZo376yztL9/9BF86zrck9xbYV6CICSXVAl7bO1aiVYE7e8L+r5WtnuTq6/WWkfdcYdmRCws7LlrDfRwWlH0BGEAExGAZU4vBp1WUVKn6GgKhMiwGtsV0oqiFd4YOVJrxg4QDsOuXbBhQ/y2cmW8AgjaxFxQ0PxnZMvMhA93NhLUZxHI0NFgDaM3qPj8QZ5/s46rTsxAUbTqZ01N8ZvLpVVDq6zU/nRtPp7tu0IE6tMI+2OmM0XFmdVEWoGbwVOrsBU1QV4tMyZZsFmNrVpCm7wBPt5eg8WgJ82oJxBS8QbCFGVYmFCcET3mhdV7WLOzFrvFgN2sxxcI8cWuOqaXZJMo7QmWx5Zv7bEFVU8KtOOOg/fe03I9T5gZZMgVu8jKDXepubIgCKlFqoQ9tkaiFUH7+4I+FZTt3kJR4OmnYfJkrfDXkiU9e72BHE4rip4gDGAiAtAfDGPSa0IwEFKxmw1dEtI6XbPyd955zftVFSoqNA9gZNu7V9tXUQEbN2p/NvcaGtTmNR5KYBxmc6R8tY0xI91UUY6a7iazwM9Fp2byrfsgTWFfXIhOpSvAugM+ThjZSqUZYG+dBx0Kep2CoijodWDQ6bCaDDx60ZTo5xRAbXGsemh/Z2hLsPT0gqonBdpRR2mFfk4+VaHh2aM48/aN6HShTjdXFgQhtUjlsMfOVATtzwv6VFa2e4IxY+D//k+rvvnGG1qhllSjP4TSiqInCAOYqABUIRgKEVYV/KEwx43ISqqQVhTNc1dYqPXraw1VBadT88o99e5uaurCGFUjviYdoZBCky+E1ahn7sRBqKpW5jotLX6z2zUFz25v7gO4qTzE2xs8lNX7D020mVz34s64UJ5GnxaiEwipbYa8NPiCDM62UO8JaoqxQUe6Rc+2SjczH3k/Gn7oC6lML8liZ1UTLm8Ah8XI+EHp+EIt1b+ukcoLqkSYMQPG/+Abvn1uMh89NY6ZN2/CYAp3qrmyIAipRSqHPfZ1RdDeor/Lhq5w553w8stwww1aVfD09L4eUTP9JZRWFD1BGMBEBN0fP9jJrupG7GYDJwzPJt9h7XUhrSha2GZmJlw1Lys6QcYuGrQJMvFztjXRppsNNPiaPUm1TX7CKjishsPaK0Qm5Ij3c0iW1hCuxu1jd00jRr0uLvxwUrGDfIeV40tyouNwegLkp3euYXpbpPKCKlHGHetBF9jMur+V8u3SwUy5YG+nmysLgpA6pHrY47zJxQNOsWvJQJANncVk0kI4TzxR8+49/nhfj6iZ/hJKK4qeIAxwIgIwNsQgw2rsUyGd6KKhtdYQscK8rYl2aJaVbw64AC2Ux+0NgqoyZXBzHl3LkJeW4T9l9R4UFAZlWNDpdFGlcU+tB7PRED1HsoVtqi+oEuHKGUNZWL+Fo3+oYrerOD2BXm2uLAhC8unPYY8DgYEgG7rCjBmaR+/JJ7V6AdOn9/WINPpLKK0oeoJwhJBqQrqj8STSG6mtidbtM7Jg7tiokmi3GChKN1HdGGD3xgrsFgOF6WZGxLR0aBn+E1ZVBmdZyE1vPn+6WU+l28+ZpXmHKaDJvLep9qw6S/ReZmr3yGEdmKFUgiD0L/pDTlV79HfZ0FV+/Wut5dOPfwxffQXG5ATQdIv+Ekorip4gCH1CRwI30hqivd5I7U20saE8zUqjSrpZj8sToLzew5yJBXFjij3m4kWrcXkCcf/f4AuRbjawYlMV44scTB+RTYM3yIpNVZTk2ZMmgPv7YgSOjFAqQRD6D/0lp6o9BoJs6AoOBzz1FJx/Pjz6KNx1V1+PqP+E0vZwv3lBEITDiQhcpycQJ3A3lTujn6lweUmPaYYOh/dGOmtiAU5PAKcnQFhVo38/q4UCt7WikalDM8mwGnH7tdYSU4dmsrWi8bBxPbZ8K7e/so7cNCN1TX7t3OFwNPxwaJY1Gi4ayfeLtKrorXsjCIIgdI7YUP+emLt7moEkG2Jl7WPLtyb0Hc47Dy68EO6/H7Zt64VBdkAklDbDaqTc6SXDakxJo4F49ARB6HUSSWJOpDdSojkLZfUehubYGJ7bHKoZVtW4WPqW1t4Gs4FhjX6a/CEq3f5oJbf3t1STbomfOpMZl99fErwFQRD6E/0lp6otBops6I5n9cknYcUKuPZarX+v0tm+RkmmP4TSikdPEIRep6ze06GydOWModG2CLEetStnDI07rrQog1tmjeHRi6Zwy6wxrU66xZlWGrzBuH0tY+lbs/ammfTUNvk7fa7ukMi9EQRBEDpHT8/dPc1AkQ3d8awWFcFDD8H778Nzz/X8WAcCougJgtDrJCJw500uZsHcsTisRirdfhxWrcBKy7yvZevLuHjRamY+8j4XL1rNsvVlh10vkRDPlkJ0W4WLr/bU0egLxhWDSTMpCYWL9uS9EQRBEDpHoqH+qcpAkQ3dVVh//GM4+WS47Tao6B9Rt32KKHqCIPQ6iQrceZOLWXLtDD684zSWXDujVSVv4VtbcHkCccpYS2UvkVj6lkL0v/ud6HU67GbDofYKRmxmAys3V/doXH5/X4wIgiCkIv0lp6otBops6K7CqtPBokXQ2Ai33NITIxxYSI6eIAi9TrL6ASVSmTP2mu2d/7AKWp4AJoOOrDRT9DORYjA9GZefSr2SjtQKb4IgDEz6Q05VW6SSbOgOyahWWVoKP/85/OIXcMUVMHduDw12ACCKniAIfUIyBG6Fy0u+3RS3r2Vlzs6MJ1aIpluNmHQKNnPzNNmyGExPkQqLkYFQilwQBGEgkQqyobskS2FdsABefhmuvx42bAC7veNjjkRE0RMEod+SSGXOzhArRCNhoU5PgHSzngZfiEZfkBtPH5mUsac6A6XCmyAIgpBaJENhNZvhz3+Gk06Ce++F3/0uSYMbYEiOniAI/ZZEK3N2hfaKwXSlB1B/Y6BUeOuPvPXWW8ybN49x48bxzTffxP3fokWLmDVrFnPmzOGjjz7qoxEKgtAWR4J8SBVOPBGuuw4efxy++KKvR5OaiEdPEIR+SyQP7/nVe6lweaO97lrm53Xn/C3PdaSENBZnWnF6AlFPHvTPCm/9kTFjxvDkk09y3333xe3fvn07y5YtY9myZVRUVPDDH/6Qd955B71e30cjFQQhliNFPqQSCxfCa69p1Ti/+AKMxo6POZIQj54gCP2akjw7M0pymDY8mxklOZTk9Wygfnd6APUnBkqFt/7IyJEjKSkpOWz/ypUrmTdvHiaTiSFDhjBs2DDWr1/fByMUBKE1jhT5kEpkZMAf/gDr1sFjj/X1aFIPUfQEQei3RKynTk8gznrak6EyR0pIY38vRT4QqaiooLCwMPrvgoICKqSRlCCkDEeKfEg1LrgAzj9fq8K5Y0dfjyYx9uyB00+HAwd69joSuikIQr+lLwqGHEkhjQOhwluqctVVV1FdXX3Y/ptvvpkzzzyzD0YkCEJ3OZLkQ6rxhz9obReuuw7efRcUpa9H1D6PPAIffww9HXkvip4gCP2WsnoPRRnxFTZ72nqajB5AgvDcc891+piCggIOHjwY/XdFRQUFBRJKKwipgsiHvqO4GB5+WGu38OSTcNNNfT2itqmthb/+FS67DHp6CpfQTUEQ+i3FmVYavMG4fT1tPe1qSKNUYhO6y+mnn86yZcvw+/3s27eP3bt3M3ny5L4eliAIh5CQ977l2mvhnHPgzjuhRcHilGLRImhqgltv7flriUdPEIR+S19ZTzsb0iiV2ITOsHz5cn75y19SW1vLtddeS2lpKc888wyjR49m7ty5nH322ej1eu69916puCkIKYaEvPcdigLPPAOTJ8Oll2pVOK0pFjXr9Woex9mzYdKknr9en3j0pEeQIAjJoL9YT6USm9AZZs2axapVq9iwYQOffvopzzzzTPT/rr/+elasWME777zDzJkz+3CUgiAIqUd+Pjz/PHz7rebZSzWefhrKy2HBgt65Xp949KRHkCAIyaI/WE/7IpdQEARBEI5E5syBm2+G3/8eZs2Cc8/t6xFpeDzwm9/AzJlw2mm9c80+8ehJjyBBEI4k+iKXUBAEQRCOVBYuhKlT4Qc/gO3b+3o0GosWwcGDcP/9vXfNlCrGIj2CBEEYiEjzcUEQBEHoPcxm+Ne/tPYF3/kONDb27Xjq6uBXv9J65/Vm1H2PhW5KjyBBEASNSC7h2xsqKKv3UJxp5XvTBqd8yKkgCIIg9FeGD4eXXoKzzoIf/xgWL+67/nq//KXWVuF3v+vd6/aYoic9ggRBEJrpD7mEgiAIgjCQmD0bHnwQfv5zLZTz9tt7fwxbtmiVNn/0I5gypXevnVKhm9IjSBAEQRAEQRCEZLFgAXz3u1oVzlde6d1rh8NwzTVgs2levd6mT6puSo8gQRAEQRAEQRB6GkWBv/1Na2twxRVQWAgnn9w71/7Tn2DVKnj2WYgNUly2voznV++lwuWlwGHhyhlDmTe5OOnXV1RVVZN+1h5m//79nHHGGaxcuZLBg3u2MbIgCIIg9BdEPgqCILROTQ2ceCJUVmrK18SJPXu9bdvg6KO1a779dnN+4LL1ZSx8aws2s4F0s54GX4hGX5AFc8cmXdlLqdBNQRAEQRAEQRCEZLCp3Mljy7dy+yvr+NvarTz5vAurVetj9803PXfdpia48EKt+uef/xxfBOb51XuxmQ1kWI3odDoyrEZsZgPPr96b9HGIoicIgiAIgiAIwoBiU7mTp1ftwukJUJRhwekJ8ObunfxlSQNms6bsrVuX/OuqKlx7LWzYAH//OwwdGv//FS4v6eb41LR0s54KlzfpYxFFTxAEQRAEQRCEAcXbGyrIsBo1z5miRP++uamcDz4AqxVOOQVWrEjude+6C158ER54AObMOfz/CxwWGnyhuH0NvhAFDktyB4IoeoIgCIIgCIIgDDDK6j2kW+LrTqZbDJTVexg1Cj75BIYN0/rs/elPmieuO6iqVlnzoYfghhvg7rtb/9yVM4bS6Avi9AQIh8M4PQEafUGunDG09QO6gSh6giAIgiAIgiAMKIozrTR4g3H7GrxBijOtgBZS+fHHWq+966+Hiy+GurquXSsYhOuug3vvhR/8QOub11Zz9nmTi1kwdywOq5FKtx+H1dgjhVigj9orCIIgCIIgCIIg9BRnTSzg6VW7AM2T1+DVvGjfm9ZckdjhgDfegN/+VvPAffKJ5pG77DLQJegO27pVU+7WrNHCNh98sG0lL8K8ycU9oti1RDx6giAIgiAIgiAMKEqLMrjmlBFkWI2UO71kWI1cc8oISosy4j6n12vN1NesgSFDNKXtqKO03ncNDW2ff9s2uPFGrU3D1q3w8svw6193rOT1JuLREwRBEARBEARhwFFalHGYYtcWU6fC6tXw0kuaV+/qq7WQzpNO0pS5QYMgHIZ9++DTT7WKnXq99rn779casacaougJgiAIgiAIgnDEo9NpYZvf/74Wxvnqq/Dee/DMM9DYqH0mK0vz+C1cqHn/ior6csTtI4qeIAiCIAiCIAjCIRRF8+SddJL2b1UFj0fbb7X27dg6gyh6giAIgiAIgiAIbaAokJbW16PoPFKMRRAEQRAEQRAEYYAhip4gCIIgCIIgCMIAQ0I3BUEQBEEQBKGfcdddd/HBBx+Qk5PD0qVLAXjyySdZsmQJ2dnZANx6663MnDmT/fv3c/bZZzNixAgApkyZwgMPPNBnYxd6B1H0BEEQBEEQBKGfccEFF3D55Zfzs5/9LG7/VVddxdVXX33Y54cOHcprr73WW8MTUgAJ3RQEQRAEQRCEfsa0adPIyEisR5xwZCKKniAIgiAIgiAMEBYvXsz8+fO56667cDqd0f379+/n/PPP5/LLL+fLL7/swxEKvYUoeoIgCIIgCIIwALj00ktZvnw5r732Gvn5+SxcuBCA/Px83n//fV599VUWLFjAbbfdhtvt7uPRCj2N5OgJgiCkGMvWl/H86r1UuLwUOCxcOWMo8yYX9/WwBEEQhD6kNdkwJTv+M7m5udG/X3TRRVx33XUAmEwmTCYTABMnTmTo0KHs2rWLSZMm9dr4hd5HPHqCIAgpxLL1ZSx8awsuT4B8uwmXJ8DCt7awbH1ZXw9NEARB6CPakg3vb66I+1xlZWX07ytWrGD06NEA1NbWEgqFANi3bx+7d+9myJAhvfcFhD5BPHqCIAgpxPOr92IzG8iwGgHIsOqi+8Wrd2Tw1ltv8Yc//IEdO3bwyiuvRC3uUh5dEI5cWpMNlcufZuHLW8HXyCmnnMKNN97I559/zubNmwEoLi6OzhFffPEFTzzxBAaDAZ1Ox/33309mZmZffR2hlxBFTxAEIYWocHnJt5vi9qWb9VS4vH00IqG3GTNmDE8++ST33XffYf8n5dEF4cikNdkw8pzrqXT7+fCO06L7LrroolaPnzNnDnPmzOnRMQqphyh6giAIKUSBw4LLE4h68gAafCEKHJY+HJXQm4wcObKvhyAIQoohskHoCpKjJwiCkEJcOWMojb4gTk+AcDiM0xOg0RfkyhlD+3poQgog5dEF4chEZIPQFcSjJwiCkEJE8vBiK6vdePpIyc8bYFx11VVUV1cftv/mm2/mzDPPbPWYSHn0rKwsNmzYwE9+8hOWLVuG3W7v6eEKgtDHiGwQuoIoeoIgCCnGvMnFIrwHOM8991ynj5Hy6IJwZCOyQegsEropCIIgCP0AKY8uCIIgdAbx6AmCIAhCCrF8+XJ++ctfUltby7XXXktpaSnPPPOMlEcXBEEQOkWfKHrSI0gQBEEQWmfWrFnMmjXrsP1SHl0QBEHoDH2i6EmPIEEQBEEQBEEQhJ6jTxQ96REkCIIgCIIgCILQc6RcMRbpESQIgiAIgiAIgtA9esyjJz2CBEEQBEEQBEEQ+oYeU/SkR5AgCIIgCIIgCELfkFKhm9IjSBAEQRAEQRAEofv0STEW6REkCIIgCIIgCILQc/SJoic9ggRBEARBEARBEHqOlArdFARBEARBEARBELqPKHqCIAiCIAiCIAgDDFH0BEEQBEEQBEEQBhii6AmCIAiCIAiCIAwwRNETBEEQBEEQBEEYYIiiJwiCIAiCIAiCMMDok/YK3SXSVP3gwYN9PBJBEAShNygsLMRg6Jciq1cR+SgIgnDk0ZaM7JdSs6qqCoDLLrusj0ciCIIg9AYrV65k8ODBfT2MlEfkoyAIwpFHWzJSUVVV7YPxdAuv18uGDRvIy8tDr9f39XAEQRCEHkY8eokh8lEQBOHIoy0Z2S8VPUEQBEEQBEEQBKFtpBiLIAiCIAiCIAjCAEPiYLrI6aefjs1mQ6fTodfr+fe//93XQ0oqd911Fx988AE5OTksXboUgPr6em655RbKysooLi7m97//PRkZGX080u7T2nd98sknWbJkCdnZ2QDceuutzJw5sy+HmRTKy8u58847qampQVEULr74Yq688soB+2zb+r4D9fn6fD4uu+wy/H4/oVCIOXPmcNNNN7Fv3z5uvfVW6uvrmTBhAg8//DAmk6mvhysIR9T8mwhH2hzdEUfaHJ4IMs/H09b9WLBgAZ9//jnp6ekALFy4kNLS0j4ebR+gCl3itNNOU2tqavp6GD3G559/rm7YsEGdN29edN9DDz2kLlq0SFVVVV20aJH68MMP99Xwkkpr3/WJJ55Q//KXv/ThqHqGiooKdcOGDaqqqmpDQ4M6e/Zsddu2bQP22bb1fQfq8w2Hw6rb7VZVVVX9fr/63e9+V/3666/Vm266SV26dKmqqqp6zz33qIsXL+7LYQpClCNp/k2EI22O7ogjbQ5PBJnn42nrfvzsZz9T33rrrT4eXd8joZtCq0ybNu0wa+HKlSs5//zzATj//PNZsWJFH4ws+bT2XQcq+fn5TJgwAQC73U5JSQkVFRUD9tm29X0HKoqiYLPZAAgGgwSDQRRF4bPPPmPOnDkAfOc732HlypV9OUxBiHIkzb+JcKTN0R1xpM3hiSDzfDxt3Q9BQxS9bnD11VdzwQUX8PLLL/f1UHqFmpoa8vPzAcjLy6OmpqaPR9SzLF68mPnz53PXXXfhdDr7ejhJZ//+/WzatIkpU6YcEc829vvCwH2+oVCI8847jxNOOIETTjiBIUOG4HA4otW4CgsLj/iFkpD6DNTfZ2c40ubojjhS5vBEkHk+npb3I/KOPPbYY8yfP59f//rX+P3+Ph5l3yCKXhd56aWX+M9//sOf//xnFi9ezBdffNHXQ+pVFEUZ0BaTSy+9lOXLl/Paa6+Rn5/PwoUL+3pISaWxsZGbbrqJn//859jt9rj/G4jPtuX3HcjPV6/X89prr/Hhhx+yfv16du7c2ddDEoROMZB/n4lypM3RHXEkzeGJIPN8PC3vx9atW7n11lt5++23+de//oXT6eTpp5/u62H2CaLodZGCggIAcnJymDVrFuvXr+/jEfU8OTk5VFZWAlBZWRlNgh6I5Obmotfr0el0XHTRRXzzzTd9PaSkEQgEuOmmm5g/fz6zZ88GBvazbe37DuTnG8HhcDB9+nT++9//4nK5CAaDABw8eDA6fwlCKnIk/D7b40ibozviSJ3DE0Hm+Xgi9+Ojjz4iPz8fRVEwmUxccMEFR+w7IopeF2hqasLtdkf//sknnzB69Og+HlXPc/rpp/Pqq68C8Oqrr3LGGWf07YB6kIhABVixYsWAeb6qqnL33XdTUlLCD3/4w+j+gfps2/q+A/X51tbW4nK5AK1x9qeffsrIkSOZPn0677zzDgD/+c9/OP300/tymILQLgP195kIR9oc3RFH2hyeCDLPx9Pa/SgpKYm+I6qqHnHvSCzSML0L7Nu3j5/85CeAFhd8zjnncP311/fxqJLLrbfeyueff05dXR05OTnceOONnHnmmdx8882Ul5czaNAgfv/735OZmdnXQ+02rX3Xzz//nM2bNwNQXFzMAw88EM2P6M98+eWXXHbZZYwZMwadTrPz3HrrrUyePHlAPtu2vu/SpUsH5PPdvHkzCxYsIBQKoaoqZ511Fj/96U/Zt28ft9xyC06nk9LSUh599NEjouy2kPocSfNvIhxpc3RHHGlzeCLIPB9PW/fjBz/4AXV1daiqyrhx47j//vujRVuOJETREwRBEARBEARBGGBI6KYgCIIgCIIgCMIAQxQ9QRAEQRAEQRCEAYYoeoIgCIIgCIIgCAMMUfQEQRAEQRAEQRAGGKLoCYIgCIIgCIIgDDBE0ROETlJaWsp5550X3fbv388ll1wCwP79+3njjTein920aRMffvhhp69xxRVXJKW5Z7LOIwiCIAiJIDJSEFIHQ18PQBD6GxaLhddeey1u3z/+8Q8AysrKWLp0KfPnzwc0IbZhwwZmzpzZ6+MUBEEQhN5GZKQgpA7i0ROEJHD00UcD8Nvf/pYvv/yS8847j6effponnniCN998k/POO48333yTpqYm7rrrLr773e9y/vnns2LFCgC8Xi+33HILc+fO5Sc/+Qler/ewa6xatYqbbrop+u81a9Zw7bXXAnDfffdxwQUXMG/ePJ544ol2xwjw9ttvs2DBAgBqa2u58cYbufDCC7nwwgv56quvAPj888+jFtnzzz8ft9udhDslCIIgHGmIjBSEvkE8eoLQSbxeL+eddx4AgwcP5qmnnor+32233cazzz7LokWLAMjNzWXDhg3ce++9APzud7/j+OOP5ze/+Q0ul4uLLrqIE044gZdffhmLxcJbb73F5s2bueCCCw677gknnMC9995LU1MTaWlpvPnmm5x99tkA3HLLLWRmZhIKhbjqqqvYvHkz48aNS+j7PPjgg1x55ZUce+yxHDhwgKuvvpq33nqLZ599lnvvvZdjjjmGxsZGzGZzt+6bIAiCMPARGSkIqYMoeoLQSVoLS0mUjz/+mPfee49nn30WAJ/PR3l5OV988QVXXHEFAOPGjWPs2LGHHWswGDj55JN5//33mTNnDh9++CF33HEHAG+99RZLliwhGAxSVVXFjh07EhZin376Kdu3b4/+2+1209jYyNSpU1m4cCHz589n9uzZ2Gy2Ln1nQRAE4chBZKQgpA6i6AlCL/PEE09QUlLSpWPPPvtsFi9eTEZGBhMnTsRut7Nv3z6effZZ/vnPf5KRkcGCBQvw+Xztnif2/8PhMEuWLDnMGnnNNdcwc+ZMPvzwQy699FL+8pe/MHLkyC6NWxAEQRASQWSkICQPydEThCRis9lobGxs898nnXQSL774IqqqArBx40YApk2bxtKlSwHYunUrW7ZsafX8xx13HBs3bmTJkiXRkJTGxkasVivp6elUV1ezatWqVo/Nzc1lx44dhMPhaN5DZEwvvPBC9N+bNm0CYO/evYwdO5ZrrrmGSZMmsWvXrk7fD0EQmBdZXwAAATdJREFUBEGIIDJSEHoXUfQEIYmMHTsWnU7Hueeey3PPPcf06dPZvn17NNH8hhtuIBgMcu655zJv3jwef/xxAC699FKampqYO3cuTzzxBBMmTGj1/Hq9nlNPPZWPPvqI0047DdDCWMaPH8/cuXO57bbbmDp1aqvH3nbbbVx77bVccskl5OXlRffffffdbNiwgfnz53P22Wfz0ksvAfD8889zzjnnMH/+fAwGA6ecckoyb5UgCIJwhCEyUhB6F0WNmE0EQRAEQRAEQRCEAYF49ARBEARBEARBEAYYougJgiAIgiAIgiAMMETREwRBEARBEARBGGCIoicIgiAIgiAIgjDAEEVPEARBEARBEARhgCGKniAIgiAIgiAIwgBDFD1BEARBEARBEIQBhih6giAIgiAIgiAIA4z/D5Jnl6JpSLwhAAAAAElFTkSuQmCC\n", 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" ] @@ -1312,12 +1315,12 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1341,12 +1344,12 @@ }, { "cell_type": "code", - "execution_count": 151, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1370,12 +1373,12 @@ }, { "cell_type": "code", - "execution_count": 198, + "execution_count": 35, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n"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+ "image/png": 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\n", 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" ] @@ -1399,7 +1402,7 @@ }, { "cell_type": "code", - "execution_count": 199, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1408,13 +1411,13 @@ "" ] }, - "execution_count": 199, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1431,12 +1434,12 @@ }, { "cell_type": "code", - "execution_count": 355, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1455,7 +1458,7 @@ }, { "cell_type": "code", - "execution_count": 356, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -1472,7 +1475,7 @@ }, { "cell_type": "code", - "execution_count": 357, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1571,7 +1574,7 @@ " Limit 0.025 0.064 0.384 0.7012" ] }, - "execution_count": 357, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -1590,7 +1593,7 @@ }, { "cell_type": "code", - "execution_count": 359, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1609,7 +1612,7 @@ "Name: VIF, dtype: float64" ] }, - "execution_count": 359, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1622,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 360, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -1640,7 +1643,7 @@ "Name: VIF, dtype: float64" ] }, - "execution_count": 360, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -1653,7 +1656,7 @@ }, { "cell_type": "code", - "execution_count": 361, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -1662,7 +1665,7 @@ }, { "cell_type": "code", - "execution_count": 362, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1680,7 +1683,7 @@ "Name: VIF, dtype: float64" ] }, - "execution_count": 362, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -1700,7 +1703,7 @@ }, { "cell_type": "code", - "execution_count": 363, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -1720,7 +1723,7 @@ }, { "cell_type": "code", - "execution_count": 364, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -1740,12 +1743,12 @@ }, { "cell_type": "code", - "execution_count": 365, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1768,12 +1771,12 @@ }, { "cell_type": "code", - "execution_count": 443, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1790,7 +1793,7 @@ }, { "cell_type": "code", - "execution_count": 375, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -1810,12 +1813,12 @@ }, { "cell_type": "code", - "execution_count": 405, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1832,7 +1835,7 @@ }, { "cell_type": "code", - "execution_count": 379, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -1852,12 +1855,12 @@ }, { "cell_type": "code", - "execution_count": 406, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { - "image/png": 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+YgUsLOgg4VgIIfItCcdCGEBGhgNYWaXSOf7nH13oTaToHVCeAOfRpe8aNXRjiTMRjhVFISQkhMDAQO7du8fDhw+Zp3hwsZKaggXPERISQmhoKCEh4dy714XYWBICr1b7GJivO9CePcC77N79O7A+xXOVBxZSgKHMhF8OJzy+H3j/4UM0AIGB/AWsnzOHV7PgzQLusmvXTwBUUKnoqyh0PnwYlUqFOtFfIKoX33CVSkVcXE202gZYhS9Pti2lf9Pa9o6DAx30/q4KIYTIayQcC2EAWe4cR0aCi4su/CbSLhi0GuAccOcOrFihmxIjIkI3l1myOrTcunWLq1evcu3aNa5du8b169e5ffs2gYGBxCQ78SHWrPkDB4crODg4YG9vT9Gib3Llyke4uBzA0tICCwtLjh1rxsyZVShcuCA2NjbMnv02zZuX5b33+mNpaYmFhUXCvy9vh4Za4eVVmt9/P0iPHj2IiIhg+/btPKpZMyHoWn/2GR1OnUIpWxaVSsWlS/spaAOVKnmgAt1YiefPiTlxIs3v6cqV4O8PK1f20u8/ghBCCJEKCcdCGEBGLsgrUACePHkxRvYFVXAEtnZFCT94Psm+s2fqQve33wKTJsGQITBunO7qM1tbHj58yIEDBzh16hRnzpzhzJkzPHv2LOH5RYsWpVq1ajRq1IhSpUpRunRpSpUqRalSpXB2dqZ799JMn76Ppk1fFX/xInzwAZw7557wmKUljBjxacJSzb6+0KhRKdq1S/11PngAcXGxeHt7Y21tzeHDh6lTp07SnSZMgDNnEu6eWKwbLl25Y6J9KldO71uaqanczp2DW7eSP169uu5LCCFE/iThWAgDyMgFeRUrwjff6L5eKqd9jl+kNbXLJt//++9f3PjyS+I6duTkyZPsPXGCdY0acenSJQAsLS2pU6cOPXr0oH79+ri4uFCtWjWKFSuWZi0WFskXAYmNTT59nFoNGk3S15veHwO7dm3nyZMGVK9egh07dlAupbmXy5TRfb1wYQ9EVQE80z726zITjvv21U0JXaRI0sfbtZNwLIQQ+ZmEYyEMICPDKr7+WveVREAUeBfk6ZXk+2s0Gnbs2M26devYtGkTT548wcrKCldXV3r06EGLFi2oW7culpYZmKv4BZUq+SIgcXHJw7GZWfJwnN7rLV26JObmVhw+fBgHBwe96snKVG7Pn0N4+KvHChZMe6rnuDiYMwdq1cr4+YQQQuRdEo6FMIDMhroEUVG6NJdIcHAwS5cuZdGiRdy+fZvChQvj4eGBj48PrVq1wsrKKmtFowu4r3eOUwrHr6+kl9owEq1Wy86dO2nXrh316tXBxgb0zMVpHjc9JUrAsWNQsqTufmwsDBsGs2al/pz4eL3WSRFCCJHPSDgWwgAyu7JbgufPwdoagMDAQKZPn87ixYuJiYmhefPmfP/993Tq1ClhsQxDMWTnODY2ln79+rF69Wr27NlDgwYtkjxHHxkZnpJYgwZJx3AvXQpHjqT9HI1GwrEQQojkJBwLYQCZ7XgmiIoizsKCLz75hIULF6LVaunTpw+ff/451bNxAGxqnePXR2ik1zkODw/H29ub3bt3M2XKFJo3b05kZPLgnZ4sd+BfMDcn3WCu0aQyh7QQQoh8TX41CGEAGe54BgfD4MEQH4+iKDy6fJlT9+8z9+BB+vXrx9dff0358uWzq9wEhugcP3jwgPbt23PhwgWWL19Onz59UnyOPgwZjuPj095HOsdCCCFSIuFYCAPI8LCKf/6Bq1d5NGoUP/30Exdv3cK2QQP+XrIk+XRn2UjfMcdmZql3jo8dO8aNGzfYsmUL7RLN7fZ6t1kfhgrHZmbph2MZcyyEECIlEo6FMIAMh7rnz3lgZkb1zz5Do9Hw85Il9OvXL8kKbsagb+c4pancoqIiARu8vLz477//cHR0TPKczHSOszw85QV9h1VIOBZCiNxJq2i5EXKDoIggnG2dqeJQBbUqKxf/vGKYowiRz2WkcxwfH8/SOXM4efkytWrV4vz58/Tv39/owRgy3zkODn5Mz549OHDgAECyYPzy2JnpHGfpwsYX9B1WIWOOhRAi99EqWjZc2UDdhXVp/r/m1FtUjw1XNqBVMvhLJxUSjoUwAH07nmFhYbRv357df/1F6SpV2L9/PxUrVsz+AlORmc7xkiVLuHDhAqVKOePi4pLqsV+G3IwEZBlWIYQQIj03Qm7Qc0NPojXRAETFR9FrYy9uhNwwyPGlbyKEAejT8QwODqZ169YEBASwp08f6qtUJm9dZqRzrNEoTJo0mYkTJ1K06Hl++mkWTk7W6R4/I111uSBPCCFEeoIigojRxCR5LCo+iqCIIKoVq5bl40s4FsIA0guAd+/exc3NjXv37rF161Zcr12Dq1eNV2AqVCpYtw5erEINwIkTrxbTeEmthh07djNx4kT69OnDv//WwsYm/cT7ctyxvn8DyJhjIYQQqdn9726WnVvGN67fYG1uTVR8VMI2a3NrnG2dDXIeGVYhhAEk63ju2QPdukG3bkR7enK+Rg2m3rzJrcaNabV0KSxZkmxFPFMYMgTKloWIiFdfNWtCz55J9zMzg5YtW+Hr68uyZctQFLVeITaj444NNeZY32EVMuZYCCFyvgcRD+i+vjutV7XmzP0z2FjasNJrJdbmuk8vrc2tWem1kioOVQxyPvnVIEQi33yT+spqlpawdi0UKZJ8W7LO8d69oChEtm7N5MmTeRAby9fjxuFYteqrfZo0MWjtmdGune4rNY8fP2bAgAFoNOvQai3p0qULoH+Iff1CvvTIsAohhBAvaRUti88sZrT/aKLio5j43kRGvzsaK3MryhQpQ22n2tkyW4WEYyES2bED+vaFlBal69VLt3ZHauE4SaiLiyO+Th3a/e9/HA8Kws/Pj6qtW2db3dnh5s2btG3bljt37lC8eAxa7atl8/Qd/vD6FHDpMdYKeYoi4VgIIXK6WE0sPx77kTdLvsmCDguo6vCqwaRWqalWrJpBxhi/TsKxEIkoCjRsCA0aJN9ma5t6N/L1TqoSF8eGv/7i0IkTrFmzhta5LBifPXuW9u3bExMTg7+/Px99VCjVFfLSYqrOcXrDKl6Ge0MM4RBCCGE4kbGRzDo2i88af4aNpQ0H+x6kuE1xo053KuFYiETS6oim1Y18fVjFxb//5tCJE4wdO5YPPvjA8IVmo9OnT9OiRQuKFi3K3r17cXFxSXOFvLRktHNsyAvy0grHeb1rfPPmTcaMGUNYWBh2dnbMmDEj2XLk8+bNY9u2bajVaiwsLBg5ciSurq4AjBkzhqNHj1K0aFEA2rZty0cffWTslyGEyGe2XNvC8O3DufP0Di6OLnSp0YUStiWMXoeEYyESSasjmtaKb4k7nsePH+fcoUPUqF2bwd9+mz2FZiMXFxe8vb357rvvKPli2orXX3t2do6NsQhIXg/HEyZMoHv37nh4eLB582bGjx/PypUrk+zzxhtv0K9fP6ytrbl69So9e/bk8OHDWFlZATBo0CB6vn5lphBCZIN7z+4xYvsINl7dSE3Hmhzqe4h3y75rsnrkQ0UhEknrY/20Pqp/2Tl++vQpH3zwAUVtbOg9cCDqXPK5vaIoLF++nPDwcGxsbFi+fHlCMIbks07oO/zBVGOO01u6Oi8vABISEkJAQADu7u4AuLu7ExAQQGhoaJL9XF1dsbbWXeldrVo1FEUhLCzM2OUKIQRD/Iaw/Z/tTG0xlb8H/23SYAwSjoVIIq2P9dMKXLrgqDB48GDu3r1Lc1dXChYqlF1lGpRWq+XTTz+lX79+LFiwIMV9Xn/t+i7skVNnq8jLS0cHBQVRvHhxzF6kfzMzM5ycnAgKCkr1OZs2baJs2bKUKPHq48vly5fTsWNHhg4dyr///pvtdQsh8pfT909zP/w+AL+0/YXLQy/zletXWJpZpvPM7CfhWIhE0vpYP60xx4oC27dvZe3atUyaNAmnokWTLzOXA0VHR9OtWzdmz57NyJEj+eKLL1LcL7d1jvP7sIqMOHnyJL/88gs//vhjwmMjR45k9+7dbNmyhdatW7+Yzi8D/yGFECIVz2Ke8cn2T2i0pBET908EoJJ9JSoWrWjawhLJo70TITIns8Mq4uI0fPfdtzRq1IgxY8bABx/k+NZkWFgYnp6eHDhwgB9++IHPP/881X2N1Tk21AV5FhZw/z506JDy9piYXPG3S6Y4Ozvz8OFDNBoNZmZmaDQagoODcXZOvnLU2bNnGTVqFPPnz6dixVe/mIoXL55w29PTk2nTpvHgwQNKlSpllNcghMh7FEVhw5UNjNgxgqDwIIa+NZTvWnxn6rJSlLN/ewthZJkdVvHo0WOio5+xZImv7uPsuLgcn76ePn3KrVu3WLNmTbozamSlczxjBtjZ6VfTpUuGCcdly8KWLboQnBonp6yfJydycHDAxcUFPz8/PDw88PPzw8XFBXt7+yT7XbhwgZEjRzJ79mxq1qyZZNvDhw8TAvKhQ4dQq9VJArMQQmTULyd+YeTOkdQtUZeNXTfSsFRDU5eUKqOF46FDh3Lv3j3UajUFCxbkm2++wcXFxVinF0Iv6Q2rSKlzvH37diIiqvHxx4OpVauW7sH4+Bwbjm/fvk2ZMmUoV64cV69eTZidIC2Z7RxPnw4ZGa7apw+8mE0sS1QqcHPL+nFyq4kTJzJmzBjmz59P4cKFmTFjBgADBw5kxIgR1K5dm0mTJhEdHc348eMTnjdz5kyqVavG6NGjCQkJQaVSYWtry4IFCzDP4Z+ECCFynjhNHI+fP8a5kDM9avdAhYphDYdhrs7Z7ydGq27GjBkUenGBkr+/P2PHjmXjxo3GOr0Qeslo5zg2NpZPPvkEc/O9DB2aaB7YuLgcOazi0KFDdOrUiZEjRzJ+/Hi9gjFkvnPctWsmCxVZUqlSJXx9fZM9vnjx4oTb69evT/X5K1asyI6yhBD5yLG7xxjsN5iCFgU52v8ojjaOfPL2J6YuSy9G++1dKNGV+xEREUZd6UQIfWV0nuM5c+Zw48YNHB0dsLYu8GpDDuwcr1+/nh49elC+fHl69+6doeeamcGKFXD4sO7+w4eGGf4ghBAib3kS9YQx/mP49e9fKVO4DN82/xa1KnfN/2DU1tbXX3/NkSNHUBSFJUuWGPPUQuglrY7o68MqgoODmTx5Mu3bt+fCBeukoTqHdY7nzp3LiBEjaNy4MX/99RcODg4Zev6nn8KJE6/ujxwJFXPOhcVCCCFygPMPztN6VWtCnofw2dufMan5JGwtbU1dVoYZ9bf3d9/prkrctGkTM2fOTPIRnxA5gd7DKq5fZ9Xnn/NWRAQL3n+fL07uw+oY8M+L7SEhOaZzfOvWLT7//HM6derE77//nrDwQ0a0bav7EkIIIV4Xp4nDwsyCasWq0aJCC0a/M5q6JeqauqxMM0lry9PTk/Hjx/PkyROKFi1qihKESJG+wypiPDxwvXqVjqVKUXbFCj55BoV/Bl6OrHB2hnLljFBx6hRFQaVSUb58eQ4fPky9evXkoiohhBAGExMfw4wjM1hzcQ1nBp3BxtKG371/N3VZWWaU35SRkZE8e/YsYZ7NvXv3UqRIEez0nd9JCCPRd1hFyP37DCpQgO2nT0OJEniXgLPrdZk4JwgPD8fHx4eePXvSs2dP3nrrLVOXJIQQIg/Zf2s/Q/yGcC3kGl1rdiU6PhobSxtTl2UQRgnHUVFRfPLJJ0RFRaFWqylSpAgLFy6Ui/JEjqPPsIpLly5h/ewZ3QcNSlhuN62Os7E9ePCADh06cP78ebrKdBFCCCEM6Hncc4ZuHcr/zv+PCnYV2N5jO20r561xd0YJx8WKFWPdunXGOJUQWaLPsIoJEybws0rFgI9eTd2m77y/2e3GjRu0adOGhw8f8tdff9G+fXtTlySEECIPsTa3JjA8kK/e/YpxTcdR0KKgqUsyOBmAKEQi6S0f/d9/d9iwYQP/s7HBNtESa/rO+5udHj16RJMmTQDYt28fDRvm3NWHhBBC5B4BjwL4cveX/NrxV0oWKsnOnjtz3fRsGZF3X5kQmZBWB9jcHLZt20mhQoUoaGmZZDaKnNA5dnR05Ouvv+bYsWMSjIUQQmRZVFwUX+/5mroL63Ls3jGuPr4KkKeDMUjnWIgk0uoAR0Y+49Qpa9q0WUr8gf788YclcS8+TYqONl3neNmyZdSuXZu33nqLTz/91DRFCCGEyFN2/rOToduG8t+T/+hdpzfft/oeRxtHU5dlFBKOhUgkrQvynj37DbW6IEWLekFcHMdOWxD74v+gAQMg0SKQRqEoCt9++y0TJkygR48erFq1yrgFCCGEyLPWXFqDhdqCfb330ax8M1OXY1QSjoVIJLUL8oKDg9m79wv69evJ4sV9wTeOBUsswETrfMTHxzNs2DB+/fVXevXqJStOCiGEyBKtomXR6UU0KdOEOiXqMLvtbKzMrShgXiD9J+cxeXvQiBAZlNqwitmzZxMTE8OoUaN0O2k0JlseOioqCm9vb3799VfGjh3LihUrsMghq/EJIYTIfc4/OE+TpU0Yum0oK86tAKCIVZF8GYxBOsdCJJHSsIro6GgWLVpEp06dqFq1KsTG6oKxiQYZW1hYoFarmTt3LsOGDTNJDUIIIXK/iNgIJu6fyM/Hf8be2p7fvH6jR+0epi7L5CQcC5FISsMq1q1bx+PHj/n44491D8TFJZmpwlhu3bpFgQIFcHZ2ZsOGDbKIjhBCiCyZf2o+Px77kYH1BzLdbTr21vamLilHkHAsRCIpDauYO3cu1atXp0WLFroHTBCOz507R7t27ahRowZ79uyRYCyEECJT7j69y/3w+zQq3YgRjUbgWtaVxmUam7qsHEXCsRCJvD6s4uTJk5w6dYq5c+eiun0bTp+GZ8/A0tJoNe3ZswcvLy/s7OyYM2eO0c4rhBAi74jXxjP35Fy+2fcNZQqX4dLQS1iZW0kwToGEYyESeX1Yxdy5cylUqBC9evWCL7+EEyegYkXo29co9axZs4Y+ffpQvXp1tm/fTqlSpYxyXiGEEHnHqcBTDPYbzNkHZ2lfpT1z283N8wt5ZIWEYyESSdw5Dg4OZu3atQwaNIhChQpBTAwMGwb9+xulltjYWKZOnco777zDpk2bKFKkiFHOK4QQIu84fu84TZY2oYRtCXx9fPF28ZaheemQcCxEIok7x8uXLyc2NpahQ4fqHoiNNcpYY61WS3x8PJaWluzevRt7e3sKFMif0+kIIYTIOEVRuBV2iwpFK9CoVCN+bP0j/er1o4iVNFn0IT11IRJ5eUGeoigsXboUV1dXXFxcdBvj4rJ9rHF0dDTdunXjww8/RKvV4uzsLMFYCCGE3m4+uUmHNR2ou6guDyIeoFKpGNl4pATjDJBwLEQiL4dVHD58mBs3btA/8RCKbJ6lIiwsjLZt2+Lr68tbb70lH3sJIYTQW5wmjumHp1Nzfk0O3TnE5GaTKVawmKnLypVkWIUQibwcVrF06VIKFSpEly5dXm2Mjc22znFgYCBt27bl2rVrrF69mu7du2fLeYQQQuQ9kbGRvL30bS4FX8Kruhez282mdOHSpi4r15JwLEQiigLh4c/w9fWlZ8+e2NjYvNqYTcMqtFot7du35/bt22zfvp2WLVsa/BxCCCHynlhNLJZmlthY2tChSgemtphKx2odTV1WrifhWIhEtFr4809fnj9/Tr9+/ZJuzKYL8tRqNfPmzcPW1pa6desa/PhCCCHyFkVRWHVhFaP9R7O9x3bqlKjDdLfppi4rz5BwLEQiigIrViyjZs2aNGzYMOlGA3eON2zYwL///suoUaN49913DXZcIYQQedf1kOt8tPUj9t7cS6NSjbAwM+6KrfmBXJAnRCKKonDy5HH69++f/II4A3aO582bR5cuXdi0aRNxcXEGOaYQQoi8bdqhadReUJsz98+woMMCjvY/Sg3HGqYuK8+RcCxEIlqtCrValfIFcQboHCuKwtixYxk+fDgdO3Zk9+7dWBhh7mQhhBC5X1R8FN4u3lwdfpUhDYbIKnfZRIZVCPGCRqMF1LRu3YrixYsn3yGLnWNFURgwYADLli1j0KBBzJs3D3Nz+V9QCCFEyh5FPuKL3V/wfo336VC1A5OaTZJpPo1AfjML8cKRI0dpjJpvypSBFSuS7xASkqXOsUqlomHDhpQvX55x48bJG5wQQogUaRUty88u50v/LwmPCedN5zcB5PeGkUg4FuKFVatW8wunqXfHQdclfl2nTlCqVIaP+/DhQ65cuUKzZs0YPHiwASoVQgiRV10OvsyQrUM4fOcwrmVdWei+UMYVG5mEYyGA2NhY/vxzPUMpifm0aVCvnkGOe+PGDdq2bUt4eDg3b95MOm+yENnk5s2bjBkzhrCwMOzs7JgxYwbly5dPss+8efPYtm0barUaCwsLRo4ciaurKwBRUVF89dVXXL58GTMzM0aPHk3z5s1N8EqEyH9OBp4k4FEASzstpU/dPjKu2AQkHAsB7NixgydPwrDA0WAzUpw8eZIOHToAsHXrVgnGwmgmTJhA9+7d8fDwYPPmzYwfP56VK1cm2eeNN96gX79+WFtbc/XqVXr27Mnhw4exsrJi6dKl2Nrasnv3bm7dukWPHj3YtWuX/AwLkU12/LOD0KhQutfuTp+6fehUrRMOBR1MXVa+JX+OCAGsXr0aBwdHLIg3SDjeunUrzZs3p1ChQhw9ejT5nMlCZJOQkBACAgJwd3cHwN3dnYCAAEJDQ5Ps5+rqirW1NQDVqlVDURTCwsIA2L59O127dgWgfPny1KpVi4MHDxrvRQiRTwSFB9H1z660W92OX078gqIoqFQqCcYmJuFY5HvPnj3jr7/+oksXHyyIAwPMILF9+3aqV6/OsWPHqFKligGqFEI/QUFBFC9eHDMzMwDMzMxwcnIiKCgo1eds2rSJsmXLUqJECQDu379PqUTj652dnXnw4EH2Fi5EPqLRaph3ch7V51Vn89XNTG42mYN9DsoFdzmEDKsQ+d6GDRuIjo6mW7fuWCxan+nOsaIoPH78GEdHR3755ReioqKwtbU1cLVCGNbJkyf55ZdfWLZsmalLESLfOBl4kuHbh+NW0Y357edTxUGaKDmJdI5Fvrd27VoqVKhAgwZvYU58pjrH8fHxfPTRRzRo0ICQkBDMzMwkGAuTcHZ25uHDh2g0GgA0Gg3BwcE4Ozsn2/fs2bOMGjWKefPmUbFixYTHS5YsSWBgYML9oKCghK6yEEJ/WkXLtcfX2H9rP3/f/5vNVzcD0LhMYw73PcyunrskGOdAEo5FvhYaGoq/vz8+Pj4oiko3rCKDnePnz5/j7e3NokWL6N69O/b29tlUrRDpc3BwwMXFBT8/PwD8/PxwcXFJ9nN54cIFRo4cyezZs6lZs2aSbW3btmXt2rUA3Lp1i4sXLybMZCGE0I9W0bLhygbqLapH8/81p8HiBniv8+bes3sAvFP2HRlGkUPpFY41Gg1//vknsSnN/SpELrZ582bi4+NfhGMwz2A4DgkJwc3NjS1btjBnzhymTZsmb3bC5CZOnMiqVato06YNq1atYtKkSQAMHDiQixcvAjBp0iSio6MZP348Hh4eeHh4cO3aNQD69+/Ps2fPaNWqFYMHD2by5MnySYgQGXQu6Bzd13cnKj4KAAUFM7UZkbGRJq5MpEevz4/NzMyYPn06Xbp0ye56hMhWjx5BTMyr+ytX7qV06bcpXvxNAgOhbAaHVYwaNYq///4bX19fvL29s6FiITKuUqVK+Pr6Jnt88eLFCbfXr1+f6vMLFizI7Nmzs6U2IfKyOE0cDyIeUKZIGe4+u0ucNi7J9lhNLEERQVQrVs1EFQp96J0Cmjdvzt69e2nRokV21iNEtnn8GJyd4eXQSa1WS1DQNGxtbWncWNftvanKWOf4xx9/ZODAgTRu3Dg7ShZCCJHDKYrC2Qdn+d+5//H7pd+pVqwah/oeonqx6hQwK0CM5lVHxtrcGmfb5OP/Rc6idziOiYlhxIgR1KtXjxIlSiT56HjmzJnZUpwQhhQeDqVLw61buvsrVqykb9++7NlzQjcPsaKAOv1wvGfPHn7++Wd8fX0pWrSoBGMhhMinfr/4O98d+o7Ljy5jaWZJp2qd6PVGLwCqOFRhVedV9NrYi6j4KKzNrVnptVIuwMsF9A7HVatWpWrVqtlZixDZKiYGChR4dd/X15dy5crx1ltv6R7QakGlAnXqQ/HXrFlDnz59qFatGmFhYXIFvxBC5CPP456z6eom2ldpj52VHU+in1C4QGEWdFjA+zXfx9761YWvapWazi6dqe1Um6CIIJxtnaniUEWWg84F9A7Hw4cPz846hMh2icNxWFgYu3fvZsSIEa8+BYlLvWusKAo//vgjo0aN4r333mPTpk3Y2dkZp3AhhBAmo1W0HLp9iJXnV+Ib4Et4bDgrPFbQu25vPmrwEUPfGprqc9UqNdWKVZMxxrlMhiZ0jY2N5ebNmzx58gRFURIel4+VRW6QOBxv3ryZuLg4fHx8Xu0Qn/rFeNOmTePrr7/Gx8eHlStXYmVlZYSKhRBCmFJYdBj1FtXjVtgtbC1t8anhQ686vWharimAzE6UR+kdjk+fPs2nn35KbGwsERER2NraEhkZSYkSJdizZ0921iiEQcQ/DuPA36XBLIqeWi09AXWTJq92UBQoWzbF53p5eREREcGUKVNQpzHsQgghRO71JOoJ6y6v40HEAyY0m4CdlR2dqnaiYamGeLl4UdCioKlLFEag92/5adOmMWDAAE6ePImNjQ0nT57ko48+onv37tlZnxAGE/8knEgLO8KCg7ExN2f0p5+iio2Fl19xcfDffwn7h4WFMXv2bBRFwcXFhalTp0owFkKIPCZOE4ffdT/e930f5x+dGbJ1CFuub0GraAH4pd0v9HijhwTjfETv3/S3bt2iV69eSR4bNGgQK1asMHRNQmSL+Kg4NGoL/tq6lZj4eLp07QpmZkm/XoTfwMBAmjZtyueff86lS5dMXLkQQghDUhQlYXjotMPT6Ph7R/bd2sfgNwdzZtAZTg08JRfO5WN6D6soVKgQERERFC5cGEdHR/755x/s7Ox4/vx5dtYnhMHERcWjVZvj6+tLmTJlaNSoUYr7BQQE0LZtW548ecK2bduoXbu2kSsVQgiRHYLCg1h9cTX/O/8/precToeqHehVpxd1S9SlXeV2WJjpP8+9yLv0DsetWrXiwIEDdOzYEW9vb3r16oW5uTlt2rTJzvqEyLCwMIiOTv74k0fxaNTm7Nq1i2HDhqV4IcXhw4fp1KkTBQoU4ODBg9SrVy/7CxZCCJFt4rXx+F72ZeWFlez6dxdaRcvbpd/G0swSgPJ25SlvV960RYocRe9w/PXXXyfc7t+/P3Xq1CEyMhJXV9dsKUyIzIiP162Al9IsazXi4nhbpSE2NjbVpdDDwsJwdnbGz8+PChUqZG+xQgghsoVW0XI77DYVilZArVIz2n80KpWKr979il51elHVQdZtEKnL0FRuAEFBQTx8+JAGDRpkRz1CZEl8vO7fBw9S2Hgmnn/dHlGyZEnefvvtJJsCAgKoUaMG7u7utG3bFvNUpnQTIjtt376ddu3aJdz/77//qFixYsL9FStW0KdPHxNUJkTu8E/oP6w8v5LfLvzG87jnBH4WiLnanIN9D1K2SFkZRyz0ovdPyf379+nWrRvt2rWjb9++AOzYsSNJR1kIU9NoUl/gLurZM0KfPsXLyyth1glFURg7diy1a9fm6NGjABKMhcm8/n7arVu3JPdnz55tzHKEyDX239rPO8veocqcKkw5OIUq9lWY1XpWwkV35e3KSzAWetP7J2X8+PE0a9aMv//+OyE8vPPOOwmBQoicQKvVTTqRkhNHjhCrKHh7ewMQFxdH3759mTZtGv3796dhw4ZGrFSI5BIvrqTPfSHyqzhNHFuvb+VGyA1A9//Gk6gnTG85nbsj77Lrw130eKOHXGAnMkXvFtnFixf59ddfUavVCRcyFSpUiPDw8GwrToiMSqtzfHjfPpqbm+Pq6kpERARdunRh586dTJo0iW+++UZWOhIm9/rPYHr3hchPFEXh/MPzrDy/ktUXVxMcGczod0Yz3W06zco34/LQy/L/iDAIvcOxg4MDt2/fTnKR0j///IOzs3O6z33y5Alffvkld+7cwdLSknLlyjF58mTs7e0zV7UQqUitcxwTE8OpY8fo7OSEubk5a9euxd/fn8WLFzNgwADjFypEKl7Ov/qyS/z6fSHyOq2i5UbIDYIignC2daaKQxVUqHBd7sqRu0ewUFvQsVpHetfpTdvKbQH5w1EYlt7huF+/fgwZMoRBgwYRHx+Pn58fixYtYuDAgek+V6VSMWDAgIR5ZWfMmMEPP/zA1KlTM1+5EClIrXPs7+9PbFQUxVxcAN3Pc8OGDWUOY5GjPH/+nBo1aiTcVxQl4b6iKBIARJ6nVbT8GfAnvTf2JloTjZnKjN+9f8e7hjcdqnSge+3udK3ZFYeCDqYuVeRheofjLl26YGdnx9q1a3F2dmbjxo188sknuLm5pftcOzu7JAsu1K1bl99//z1zFQuRhtQ6x+vXr6dQgQJcunaN4pcvU7NmTQnGIsfZs2ePqUsQIltptBoeRDzg3rN73H12l3vP7tG7Tm+KWhdlxbkVjNs7jsDwwFf7Kxp6bezFG8Xf4CvXr0xYuchPMnRZvpubm15hOC1arZbff/+dFi1aZOk4QqQkpc5xXFwcf/75J63j4ogzM8PCQi7QEDlTqVKlUnz86dOnFClSxMjVCJExcZo4AsMDuffsXpKvoW8NpapDVdZeWkuPDT3QKJokz2tcujGNSjeihG0JajjWSBKOAaI10QRFBFGtWDVjvhyRj2UoHB8+fJgrV64kWzL6k08+0fsY3377LQULFqRnz54ZObUQekmpczx27FjCw8Mp6eRE00aNsK4qk7+LnGnTpk04ODgkLK508eJFhg8fTnBwMGXLlmXBggVJ5j0WwhBSGuOb0rRnkbGRnLp/KiH0Bj4L5F74PT5u+DEtKrTgwO0DtPqtVZLn2FjY0K5yO6o6VKWWUy3Guo6lVKFSlC5cOuHL3lp3/VHbym2pYFeBeovqERUflXAMa3NrnG3Tv75JCEPROxxPnjyZ7du306hRI6ytrTN1shkzZnD79m0WLlyYMM+sEIb0eud448aN/PDDD6jVar6dMAHrI0dMV5wQ6Vi6dCnff/99wv3x48fTpEkT+vXrx5o1a5g5cyYLFy40YYUir9EqWjZc2UCvjb2Iio/CQm2Bt4s3ha0K68Lvs3sMbzicAfUHcO/ZPZr/r3nCc+2s7ChTuAzPYp4B8EbxN1jScUmS4Fu4QOGEsfI1nWoy2WlymvVUcajCSq+VCfVYm1uz0mslVRyqZN83QYjX6B2O/fz82Lx5s16zU6Rk1qxZXLp0iV9//RVLS8tMHUOI9Ghj4zkSVAWKhgHgCYQCFmZm2H7xBfTubcLqhEjbgwcPqPrik42goCCuX7/O8uXLsbOz4/PPP6d169YmrlDkNWeDztJzQ09iNDEAxGnj+OPyH9hb21OuSDnKFimb0Nktb1ce/w/9KV24NKUKl8LW0jbJsZxsnOhfv3+W6lGr1HR26Uxtp9rpdrKFyC56h+OiRYtSqFChTJ3kxo0bLFq0iPLlyyes+FS6dGnmzZuXqeMJkRptVAzFNA8Z2603o0aN4tq1a7Rr357F8+bRpUsXyOTPsBDGYGZmRlxcHAUKFODs2bNUrFgROzs7AKytrYmOjjZtgSLPiNfGs/jMYsbuHZsQjBNb//56mpVvluSxAuYFaFmxZbbXplapqVasmowxFiajdzju27cvX3zxBYMHD6ZYsWJJtpUpUybN51apUoVr165lrkIhMuDJw2DsFQumL1pEvRYtOHbsGM8tLWndtSsULmzq8oRIU8OGDfnpp5/w9PTkt99+o3nzVx9h//fffzg6OpqwOpEXKIrCthvbGLV7FFceX+Gtkm9x4eGFJAFZxviK/E7vcDxx4kQA9u/fn+RxlUrFlStXDFmTEJly+/Zthg4YyBYsWLduHd7e3owaNYpWrVpRWIKxyAW+/vprRo0axdq1a6lXr16SeeQ3b96ccKGeEJnl/58/7r+7U8W+Cpu6bsK9qjsbr26UMb5CJKJ3OL569Wp21iFElly6dInWrVtT+GlxNGZWdOnShTNnznD79m0mTJhg6vKE0ItGo2H69OkJC36Eh4cTHh4OQPfu3U1cncitAp8Fcv7hedpXaY9bRTdWea3Cp6YPlma6639kjK8QSWVoKjchcioHBwcqV67M2K4T0IwcBOgW/jAzM6NTp04mrk4I/bRo0SLJKnivLxktn9SJjIiIjeD7I9/zw7EfsLGw4c7IO1iZW9HjjR5J9pMxvkIklWY47t+/P0uXLgV0XYvUli5dvXq14SsTQg/79u3D1dUVZ2dnDhw4wNWNV4lTW6IoCuvXr6dZs2Y4OMgyoyJ3qF69OtHR0Xh5edGpUyecnJxMXZLIhTRaDSvOreCbfd8QFBHE+zXfZ3rL6ViZW5m6NCFyhTTDsaenZ8JtHx+f7K5FiAyZNWsWn3/+OT/88AOff/45KpUKJSaWeJUlAQEBXL9+PUML1Ahhaps2beL69ets3LiRDz74gEqVKuHh4UHr1q2xspJgI/Rz9sFZBmwZwNul32b9++tpXKaxqUsSIldJMxx37Ngx4baXl1e2FyOEPrRaLV988QU//fQTXbp0YdiwYa82xsYSr7Zkw4YNqFQq+bkVuU7VqlUZPXo0o0aN4siRI2zcuJHJkyfzv//9j5o1a5q6PJFDBTwK4ODtgwxpMIQGJRtwpN8RGpdunOonvkKI1KUZjv/880+9DtKlSxeDFCNEemJiYujduzdr167l448/5qeffsIs0XrR2uhYNGpL1q9fT5MmTTK9aI0Qpnbr1i1OnTrFuXPncHFxkRlXRIqCI4OZsG8Ci/9ejJ2VHd1rd6dwgcI0KdPE1KUJkWulGY43b96c7gFUKpWEY2E0N27cYOvWrcyYMYNRo0Yl74rExhKLOefPn+fHH380TZFCZFJYWBhbt25l48aNREZG4uHhwapVqyhZsmSGjnPz5k3GjBlDWFgYdnZ2zJgxg/LlyyfZ5/Dhw8yaNYvr16/z4YcfMnr06IRtc+bMYc2aNQljnuvXry+zvuQwUXFR/Hz8Z6YdnkZUfBRD3xrK+PfGU7iA/BElRFalGY5/++23DB3szJkzvPnmm1kqSIiUhIeHU6hQIWrVqsWNGzcoUaJE0h2ioyEiArMnj4mK1z3k7e1t/EKFyAJXV1dKly6Nh4cHderUAXTzd9++fTthn8aN0x8/OmHCBLp3746HhwebN29m/PjxrFy5Msk+ZcqU4bvvvmPHjh3ExsYmO4anp2eSwCxyluDIYCYdmETbym2Z2WomVR2qmrokIfIMg07lNnDgQP7++29DHlIIrly5Qtu2bRk7diyDBw9OHowB2rSBc+eojAUH41vy9ttvU65cOeMXK0QWODo6EhMTw7p161i3bl2y7SqVij179qR5jJCQEAICAli+fDkA7u7ufPvtt4SGhmJvb5+w38v/P/z9/VMMxyLnOXj7IJuubmJWm1mUsyvHteHXKGcn73NCGJpBw/Hrc3IKkRUhIXDkyEl69fqQAgVieOutt1Lf+elT2L+fNReKMaTPP/zU9bzxChXCQPbu3ZvlYwQFBVG8ePGEsfhmZmY4OTkRFBSUJBynZ+vWrRw+fBhHR0c+/vhj6tWrl+XahH60ipYbITcSFuUAGLNnDJuubqJ04dKMfmc0xW2LSzAWIpsYNBzLVbHCUO7cgQoVtGi1ZVGpLjBv3hPq10+hY/xSXBxYWLB//0GghIyDFyILunXrxpAhQ7CwsODIkSMMHTqUbdu2UbRoUVOXludpFS0brmxIWM7ZTKX7I8fawpopzacwsvFICloUNHGVQuRtsj6kyJGuXLmNVnudRo088fFRsLJKIxgDxMeDuTkHDhzGzq4QpUuXNk6hQuQwzs7OPHz4EI1GA+iWpA4ODs7QzC2Ojo5YWFgA8M477+Ds7MyNGzeypV6R1I2QGwnBGECj6P477uixg6+bfi3BWAgjkHAscqSyZctRqlRJ9uzZQ5EiVqQ7JDIujn/v3OHmzVuUKFHcKDUKkRM5ODjg4uKCn58fAH5+fri4uGRoSMXDhw8Tbl+5coXAwEAqVKhg8FpFUpGxkfx8/OeEYPySRtEQp40zUVVC5D96D6uYOnUqXl5euLi4pLqPjDkWWREXF8fw4cP54IMPcHRsRpEihbGxgQIFICYm6b6rVsGDB6/uD3oSz8QpwYAPJUtKOBb528SJExkzZgzz58+ncOHCzJgxA9BdND1ixAhq167N6dOn+eyzz4iIiEBRFLZu3cp3332Hq6srs2bN4vLly6jVaiwsLJg5cyaOjo4mflV5V0RsBPNPzeeHoz/w6Pkj1Co1WkWbsN3a3Dph7LEQIvvpHY61Wi39+/fH3t6eTp060alTp2SzBpw9e9bgBYr8ISIiAh8fH3bs2EGlSpVo164Z6hefa6QUjgcOhCFDIGH9j7g4zl56ROnSznz8sSyzK/K3SpUq4evrm+zxxYsXJ9xu0KABBw8eTPH5L8O0yH5XH1/Fdbkrj58/pnWl1nzT9BseRDxIGFphbW7NSq+VVHGoYupShcg39A7H48aN46uvvuLgwYNs2bKFBQsWUKdOHTw9PWnVqhU2NjbZWafIw4KDg+nQoQN///03v/76KwMHDuT8eVINx1otxMbCrFnw8hrQ+KXRPHzyGRO/nYunp9FfghBC6O1ZzDMuBV+iSZkmVLGvQufqnelbry9vl34b0F2UV9updsJsFVUcqqBWyShIIYwlQ7NVmJmZ0bx5c5o3b86NGzf4/PPPGTNmDJMmTaJ9+/aMGDGC4sXlI22hv4cPH/LOO+9w//59Nm3aRMeOHQFdAE4tHD9/DtbWr4IxQHxUFFqVShb+EELkWE+jnzL7xGx+Ov4TapWae5/dw8rcikUdFyXZT61SU61YNaoVq2aiSoXI3zL0p2hERAS+vr58+OGH9OzZkzp16rB69Wq2bdtGwYIFGTBgQHbVKfIoR0dH2rRpw969exOCMSQNx5aWScNxZCQUTHTBtqIoaGNjafTuuykvECKEECYUFh3GpP2TKP9LecbvH8+7Zd9lR88dWJnLEDAhciK9O8cjRozg0KFDvPXWW3zwwQe4ublhaWmZsP2rr76SpaOF3nbt2kXVqlUpX7488+bNS7ZdUV51hlPqHCcexXP69GnqKAo+3btnc9VCCJFxl4IvMfHARDyqeTD+vfHUd65v6pKEEGnQOxzXqVOHb775JtUrltVqNUePHjVYYSLvWrFiBQMGDMDb25u1a9emuE9awyoiI5OG41WrVvEm4OXjk31FCyGEnkKjQvn5+M/EamKZ7jadd8u+y7Xh16jqUNXUpQkh9KB3OO7fv3+6+1hbW2epGJG3KYrC1KlTGTduHG5ubkmunH9d4nBcsCD89Rf884/u/rNnYGurux0XF8faNWv4CbBzcMjeFyCEEGkIeR7CrGOzmHNyDuGx4XSv3R1FUVCpVBKMhchFDLp8tBCp0Wg0jBgxgvnz59OzZ0+WLl2aZFjO6xKHYx8feH3Bu7Jldf/6+/sT9vgxirn8KAshUqdVtNwIuWGwGSBeP96F4Av029yPyNhIfGr68E3Tb6jlVMuAr0AIYSySKIRRREdHc+LECUaPHs3UqVNRq9P+pZQ4HNvYgJtbyvutWrUKp6JFUb8+EbIQQrygVbRsuLIh2dzBnV06Zyogx2pi+f3S7wzeMpgYTQzW5tbMaDUD96rujHMdR02nmtnwKoQQxiLhWGSr0NBQChQogI2NDYcOHdJ76E3icJxg+nTYvj3hbrxGw5Bjx5js6Igq8bxuQgiRyI2QGwnBGCAqPoru67vz1btf4eLoQrda3QCYuH8i/z35j8i4SCJjI4mMi+RN5zf5ue3PANScX5MbITeSLeUcFR/F6N2jOTv4rEy/JkQeIOFYZJvbt2/Ttm1bXFxc2LBhQ4bGpGu1SecxBmD3bvD0hPq6K7337NzJ1CNHmDtuHDRrZrC6hRB5S1BEUEIwfilOG8fkg5N5q+RbCeH44O2D/PfkP2wsbbCxsMHG0oaCFq/mjexasyvP454THBnM8nPLkxwvKj6KoIggCcdC5AESjkW2uHDhAu3atSMyMpKFCxdm+PmKkkLnODoaGjWCJk0A+GHKFO6UL0+tYcNSSNJCiPzsztM7/Hb+NzZe3ciSjkuwNrdOEpALmBVgT6891C1RN+Gxvb33pnnM8e+NB+Da42v8cemPJMezNrfG2dbZsC9CCGESsh6lMLh9+/bh6uqKSqXi8OHDvPfeexk+RorDKqKjwUo3af7t27fZs2cPvXr1kiEVQggAouKiWHNxDa1+a0X5n8szbt84ChUoRKEChVjptRJrc92nV9bm1qzqvIrGZRpjY2mTzlGTq+JQJdnxVnqtpIpDFYO+HiGEaUjnWBhUTEwMvXv3pkyZMmzfvp0yZcpk6jgphuOoqIRwvHy57iPNfv36ZaVcIUQupygKz+OeY2Npw+VHl+mxoQfl7coz/r3x9K7TmwpFKwBQoWgFajvVNshsFWqVms4unQ12PCFEziLhWBiMoigUKFCAbdu2UapUKYoWLZrpY6XVOdZoNCxbtoxWrVpRrly5rBUthMgVXp86raBFQVZdWMWK8ytwLevKkk5LeNP5TY70O8Lbpd9OFlTVKjXVilUz2JhgQx9PCJFzSDgWWabVahk1ahQWFhZMnz6dWrWyPrdnWuHY39+fu3fv8uOPP2b5PEKInO/1qdjUKjWKoqCg4FrWlRYVWgCgUqloUqaJiasVQuR2Eo5FlsTExNC3b19+//13hg8fnrAaVFalGo6trVmyZAkODg506tQpy+cRQhiPvgtxxGni+O/Jf1x5fIWrj69y/N5xdv6zk2hNdMJxzFXmbO2+ldaVWxv7ZQgh8jgJxyLTnj59SufOndm7dy/Tp0/nyy+/NMzFcXFxWD5+hEMMcD/R41FRPAoPZ/PmzQwfPpwCBQpk/VxCCKNIaSGOhe4LqepQlesh12lXuR2ONo4sP7ucQX6DiNfGJzy3mHWxhGD8UrwSj6V56qtsCiFEZkk4Fpmi0Who1aoVZ8+eZeXKlXz44YeGO/iUKTT7/ifqa22hQaLHK1bkt3XriIuLo3///oY7nxAi26W0EEfvTb0Ttm/tvpX2VdpTp0QdRjUZRfVi1XEp5kK1YtUICg+i3qJ6MnWaEMIoJByLTDEzM+Pzzz+naNGitG5t4I81w8K42m0S34SOZNOmVw9rtVoWVKtGkyZNqFlTlmcVIjdJaSEOgG+bf0uXGl2oVLQSAPWd61PfuX6SfWwtbVnptTLZ8s8ydZoQIjtIOBYZcvToUQIDA/Hx8aFr167Zc5KYGDTmBZKNOd65cyf//PMPkydPzp7zCiGyjbOtc7KFOKzNrfGp4ZPujA8ydZoQwpjknUXobdOmTbRs2ZJJkyYRHx+f/hMyKyaGeHOrZOF4zpw5lChRAm9v7+w7txAiW2R14YyXU6c1K9+MasWqSTAWQmQb6RwLvSxcuJBhw4bRoEED/Pz8MDfPxh+dmBjibZN2jv/55x+2b9/OxIkTsbSUi3CEyG2k+yuEyC0kHIs0KYrC+PHjmTJlCh06dGDt2rXY2GR8udUMeTGsIvHEF/PmzcPc3JxBgwZl77mFENlGFs4QQuQG8ie7SJNKpSImJob+/fuzadOm7A/GoOscm73qHIeHh7N8+XJ8fHxwdpar04UQQgiRfaRzLFIUGRnJnTt3cHFxYcaMGQCGmcNYHzExxCe6IG/x4sU8ffqUTz/91DjnF0IIIUS+JZ1jkUxwcDDNmzfHzc2N58+fo1KpjBeMIUnnODY2llmzZtGsWTMaNmxovBqEEEIIkS9J51gk8e+//9K2bVsCAwNZu3YtBQsWzN4TRkfD6zNfREURr9aF49WrVxMYGMiSJUuytw4hhBBCCCQci0ROnz5N+/bt0Wq17Nmzh8aNG2fvCZ89A0dHsLBI+ri5OVFdHFGpFGbOnEmdOnVo06ZN9tYihBBCCIGEY5HIzJkzKViwIDt37qRaNSNcTR4WBk5OcPdusk1Pl8K9e7e5evUqa9asMe6wDiGEEELkWxKOBbGxsVhaWrJs2TLCw8ONMiNEZCT8dzySymY2XDqle6xWLbDWrQ+AVqtw7tzfVKxYER8fn2yvRwghhBAC5IK8fE1RFKZNm8Y777xDREQEtra2RpsqbeFC+GLoc24/KsjQodCxIyQeVnzmzFlCQh4xYcKE7F1wRAghhBAiEQnH+ZRGo2H48OGMHTuWqlWrGn3VuadPoVvHSKrXt+HUKRg2DB4+fFXbX3/5YWdXmB49ehi1LiGEEELkbxKO86GoqCh8fHyYP38+o0aN4rfffjN6OI6MhEJmz+HFoiLFisHjx7pt69atIyjoAW+91QAzMzOj1iVEXnDz5k26du1KmzZt6Nq1K7du3Uq2z+HDh+ncuTO1atVKmMv8JY1Gw6RJk3Bzc6NVq1b4+voaqXIhhDA9o3xePWPGDHbu3ElgYCBbtmyhatWqxjitSMVHH33Epk2b+Pnnn/nkk0+Mc9KLF+HYsYS79U6BC2fB8VU49veHgQM1rFunULDgQCpXrmSc2oTIYyZMmED37t3x8PBg8+bNjB8/npUrVybZp0yZMnz33Xfs2LGD2NjYJNu2bNnCnTt32LVrF2FhYXh6etK4cWNKly5tzJchhBAmYZTOccuWLVm9ejWlSpUyxulEOiZMmMCff/5pvGAM8MMP8PvvcPo0nD5NqaDTWKg10L07AK1awahREBq6l2fPDtK/fwGGD5cZKoTIqJCQEAICAnB3dwfA3d2dgIAAQkNDk+xXrlw5XFxcUhzTv23bNnx8fFCr1djb2+Pm5saOHTuMUr8QQpiaUTrHDRo0MMZpRBouXLjA8uXL+fHHH6lQoQIVKlQwbgGRkTB0KLyYeWJOZ+jRA6p66zbb2YGXVzBfftmFDh1cmT27hnHrEyKPCAoKonjx4glDkszMzHByciIoKAh7e3u9j1GyZMmE+87Ozjx48CBb6hVCiJxGxhznA/v378fV1fXFWN4g0xQRGUlItA2dO4OHBxw5Ara2SXcZP348z58/54cffjBNjUIIIYTI9yQc53Fr166lTZs2lC5dmmPHjmX70BZFgVOndOH35dfdu8Dz59wNteHaNejXTzdt23vvvXreqVOnWLx4MUOHDqV69erZWqMQeZmzszMPHz5Eo9EAuovrgoODMzRNo7OzM/fv30+4HxQURIkSJQxeqxBC5EQygWwetmDBAoYOHcq7777L5s2b9f5INSv+/ReaNoX69XX3nz6FkiVhV2Qk0eqClCql6xwnFhcXx4ABAyhRogSTJ0/O9hqFyMscHBxwcXHBz88PDw8P/Pz8cHFxydD//23btsXX15fWrVsTFhaGv78/q1evzsaqhRAi55DOcR5WvXp1PvjgA3bv3m2UYAwQEwPly7/qGi9cqBtuTGQkUWobChRI/pwff/yRCxcuMG/ePIoUKWKUOoXIyyZOnMiqVato06YNq1atYtKkSQAMHDiQixcvAnD69GmaNm3K8uXL+eOPP2jatCmHDh0CwMPDg9KlS9O6dWvef/99hg0bRpkyZUz2eoQQwpiM0jmeMmUKu3bt4vHjx/Tt2xc7Ozu2bt1qjFPnO7GxsezevZsOHTrQvHlzmjdvbtTzazRgbg58/DH4+/NmNKwKAjT/EGFulywcX7t2jUmTJtG5c2c8PT2NWqsQeVWlSpVSnJt48eLFCbcbNGjAwYMHU3y+mZlZQqAWQoj8xijheNy4cYwbN84Yp8rXnj17RufOndm7dy+XLl2iRg3jz/ig0YCZGXD8OEyaxD2r2owcCX67C/D0aMkk4Tg2Npbu3btjY2PD3LlzjV6rEEIIIcTrZMxxLhAXpxu7m5YHDx7wwQfeXL16khUrVpgkGEOicBwdDS4umNm4cFkLVISYfSQJx+PGjePvv/9m06ZNGbpYSAghhBAiu0g4zgWGD4fVq8HKKuXtGk08z55ZotXuY+PGg3h6uhm3wCS1vAjHUVFgZYWVlS4ng2488stwvHv3bn744QcGDx6Mx+tX6AkhhBBCmIiE4wxQFBg9Gp48efWYhQXMmAGFCmXfeSMiYNEi3aIZKfn112V88803xMXdo0kT0wVjeK1zbG2NtfWrcBwdrQvH//33H926daNGjRrMmjXLpPUKIYQQQiQm4TgFu3ZBSmtlPHkCK1fCt9++emzCBN3Cb7VqZV89Wi2oU5hXJCQkBAcHBwYNGkSXLl2oXduCuLjsq0MfKXWOo6J022JiQKWKxdPTE0VR2Lx5MwULFjRpvUIIIYQQiUk4TkGPHtCiRcrDGCZPhoEDX92fPVsXXrNTSuF40aJFfPnllxw8eJA6depgb2+PpSXExmZvLemJj38xW0V0NFhZUaCALjC/+SYEBSkUKfIn169fZvv27VSqVMm0xQohhBBCvEbCcQri43Xz8xYtmv6+Zma68JedEodjRVGYMGEC3377Le3bt6dy5coJ+1lYmD4cazRgplYSOsdqNQQEwNOnClOmTGHz5hnMmfMLrVu3Nm2hQgghhBApkHCcAo0m5WEMKTFmOI6Pj2fw4MEsW7aMfv36sWjRIszNX/0ntLTEtMMqLl+mtO8uut57MbbiRW2VKyuMHj2azZu/55tvvmH48OEmLFIIIYQQInWyQl4KEsbN6kGtNt6wioULF7Js2TLGjx/PkiVLkgRjwPTDKn79Fcdjf+EYGwhTpgC6Tvdnn33G999/z0cffSQLCwghhBAiR5POcQoyEo6N2TkeMmQIFSpUoEOHDinuZ2Fh4s5xaCh3WvZl6Y1eeI0GjUbDsGHDWLRoESNGjOCnn35CpVKZsEAhhBBCiLRJ5zgFOSkc//fffxw9eoKnT59gbm6eajCGHNA5Dg0luqA9Zma61fo6duzIokWL+Oqrr/j5559R6ztWRQghhBDCRHJ953jgQLh169V9c3NYsQKKF8/8MbXanBGOz5w5Q/v27Xn6dBWhoY+BtK8QNPoFeQcPwsmTr+4HBBDdxJ6oqHCaNGnCtWvXWLhwIYMHDzZiUUIIIYQQmZfrw/HQofD48av7n3wC//2X+XCsKKnPK5wSM7PsGXO8c+dOvL29KVasGFWrNqZ6ddt0n6PvBXlz5sCjR7rbnp5Qv34mi5w4EZycoHRpAJT33+ev/0LZu3cXRYoEsXPnTlq0aJHJgwshhBBCGF+uD8f16iW9X7KkbkW5zHoZjPUdGqtWG75zvHXrVjw9PalZsybbtm2jTx9bvcK6PsMqIiPhyy/hq6/g8GHd/pkOx4GBMG8euLgQGBjIiBEj2LDhLk5OA/j77wuUKlUqkwcWQgghhDCNXB+OX2drm7VwnJFp3CB7hlU0btyYfv368f3331O4cGG9O9kWFrBhA/zzT+r7PHoEFSvC+PHw449w/34Gi9u4UbcsIMCtW8Q5OTH/l18YN24c8fHxdO3qi5lZM0qVkvHFQgghhMh9JBy/JiMX44HhhlVoNBoWLFjAwIEDsbe3Z9GiRQnb9A3HffvC3r1w717a+339te5fc3NQRT2HCK2uVW5jk/5J9u2Ddu3QdOvGlr17+aJRI/7991/atWvH3LlzOXiwIvv2pX8YIYQQQoicKM+FYxsb44fjrHaOo6Oj6dmzJ+vXr8fe3p7u3bsn2a5vOHZ3133py+lxAMMXvgErrXTjLVxdoVixNJ+jPXGCXZ06MbJ7d65evUrdunXx8/Ojffv2qFQq9u3L2PdPCCGEECInyXPhuEgR+OEHWLs2+TYrK/jzT113OTUZDcdZHXP85MkTPDw8OHToED/99FOyYAwZu0AwIwqHB3LduRkugf4QEgIHDqS4n6Io3Lx5kwMHDrAr1ImNCxtSsGgn3n23BmXKlMXJSZUwRjuj3z8hhBBCiJwkz4Xj0aOhffuUt33wAQQHGzYcZ6VzfOfOHdq1a8c///zDH3/8QdeuXVPcL7vCsXVMGBEWL6aHc3CAzp0Ttmk0Gk6fPs22bdv4448/uH79Oubm5lSvvppG9i0ZONAelUrFX3/BX3/BW2+9fF7CqtFCCCGEELlO7o8xP/+cZJCtA9AslV2/i4Ei377YKRVWz6FHXC2gj16nz8qY4/DwcCIjI9mxYwfNmzdPdb/sCscFY54QYWEHQHx8PBcvXuTEiRPs27cPf39/QkNDUalUvPfee3z++ed4e3szc6YD9vbQs+er2r77TvdHB8Dly1C3ruFrFUIIIYQwhtwfjh0dIT5er12fFIDookCJ1PfRPoxkXNRYMhKOM9o5vnHjBpUrV6ZmzZpcv34dS0vLNPfP6AwaKZo2DQ4dQgFiYmKIiIig7LUgtqqaMd7VlTNnzhAVFQVAiRIl6NixI23atKFVq1YUSzQOOSICypZ9ddiOHSEqSjc/NOimhWvaNIu1CiGEEEKYSO4Pxz166L3rH2vBtRuUapj6Ps8CFWx/nAUNGiSd7Fil0q2e0ahRkv0zOuZ43bp1fPjhh8yePZvBgwenG4xBv86xVqvl6dOnhISEEBoaiuOMGahv3iQ6KoqoqCiq3bvHuFKluP3oEc9fhGBownmzFpTT/MqgQYNo1KgRjRo1okKFCqhSmeg5IiLpsBQ7Oxg0SL/XLoQQQgiR0+X6cBwdHU10dDTKi9aloigpfgGoVEW5f/8Z9+/HJtv28nZgoJrPHE6yftyVJNuKLlpE5I4dhNnZJXk8IsKZ27cjuHQpLMXjKYpCXFwc8fHx/P7778ydO5caNWpQqFAhNm7cmLAtLi4u2e3o6GieP3/OnTuDmT59JTY2V3n+/DmRkZE8f/6c58+f8/TpU0JDQ3ny5EnCuQGeAQOBaMCuSBEsKlbkUY0alClThmrVquHi4sKtW3Wx+MuezZv76P39fj0cCyGEEELkJbk6HAcHB1OpUiUi9J67zR8vr2nAnjT2KQccoLSXV5JHvwMid+1i6sSJr+2/Aj+/vYwdu1LfsgkICKCHnh1vtVoN+HDgwD6KFPmPggULYmNjQ8GCBSlevDhVqlTBwcEBe3t77O3tcXBwwKFQIWx8fJh27RolS5WiQIECKR5769bUR6T89x+MHJl8PPWJEzB4sN4vVQghhBAiV8nV4djBwYH58+fz+PFjVCpVwlCAl7df/5o3rzLvvfcZb7zhk2zby+c9elSYH3+05/vvVyR5vMb27RR+8ID677+vG+NgZoaiUrF0xZtUrlaJ91q05Zc5jblwqTioVDRpEsigQRdQqVTcvHmTzz//nI4dOzJy5EgKFCiAhYUFFhYWmJubp/qvtbU1lv/9R/dOkUyaNJ2qnWvp5qNLT1AQODhQoWLFNHczN4e4uJS3XbwIDx7AuHFJHx8yBN57L/0ShBBCCCFyo1wdjs3MzPjwww/13n/nTmjZslziGcuSuX4dliyB3r17J93g6Ai9e1Plm290g4y1WtBo6BilweyYFvMVGrzitajVcKXXdJaerI1HgQK6zm/16nQbOJASZmaofH3TL9TZWZdKnz2DevUYp6pF+c8ewpcKuLjo9ilV6tWKdtHR8L//JR383KRJuqexsEi9cxwZCZUq6S64E0IIIYTIL3J1OM6oAgUgNjbtfVKd57htW3j4MNnDIwbrZmgYPBjKloJz849S5vvJeNzy58QHx6lUuTJOjo44OzrqLuZL5UK3JMaOhTJldOdzceH92NOsWxNPzdBDujSr1erGPSQe8zBoULKLBdOTVuc4IkK/1aSFEEIIIfKSfBeOL1yAkiV199VqXZ60sHi1T0anTUs8lduzZ1CgeRPOFp1LixaFsVJV5Ltec5kypTFaLZjthH37oGbNdA4aGQnbtuluDxmC9mdQW5pDGnMhZ4a5edqdY7nwTgghhBD5Tb4Kx02bwsqVcPiw7v61a7BwISS+9i6zK+RptfD8OVy8eAxPT280mpsULfqYKVOs6NMHxowBDw/dYhkvw3FYGGza9GqO4JdK1P6Sdl++uq+dlT2LgFhawtWruoXxVCqYOhWqVdNtk86xEEIIIfKjfBWOBwzQfb00bpzua/nyV489fZq0k5weS0v46Sf4/XewsdHQqlVLSpYsiZ9fEE5O5QHdohmWlrrOdeJhwbt3w8SJSRvC8fG6wBwe/uqx7Fohr25d3VDl+HhYvRo++QTefFO3bf9+cHc3/DmFEEIIIXKyfBWOX/fpp9AwhQVBypXT/xhffQWenrrbRYuq2b59Er1798bJySnZvq+vphcfD2+/nTScx8fDmjW6bvLL4cnZFY7NzaFTJ93tN96AtWtfbWvfHry9DX9OIYQQQoicLF+H42LFXoXDzHJwUDh8eDqenp64uLhQq9aoVPdNKRy/PoTD3Fz3FRur6zSDgZaPTkflyvD119l7DiGEcdy8eZMxY8YQFhaGnZ0dM2bMoHz58kn20Wg0TJkyhUOHDqFSqRg0aBA+Pj4AzJkzhzVr1iT8kV+/fn0mTJhg7JchhBAmka/DcVbFx8czZMgQli5dyrNnz5g2bVqa+78ejlMb31ywoG788stwrNVmbBy0ECJ/mzBhAt27d8fDw4PNmzczfvx4Vq5MulDRli1buHPnDrt27SIsLAxPT08aN25M6dKlAfD09GT06NGmKF8IIUwqm/uReVdkZCSenp4sXbqUcePGMXXq1HSfk1I4Nk/hz5OX4fil7BpWIYTIe0JCQggICMD9xUUD7u7uBAQEEBoammS/bdu24ePjg1qtxt7eHjc3N3bs2GGKkoUQIkeRznEmhIaG0q5dO06fPs2CBQsYMmSIXs/LaOf4JQnHQgh9BQUFUbx4ccxevLmYmZnh5OREUFAQ9vb2SfYr+XJeS8DZ2ZkHDx4k3N+6dSuHDx/G0dGRjz/+mHr16hnvRQghhAlJOM4Ea2tr7Ozs2LBhAx4eHno/LyPh+OhR3bRvoFsAT8KxEMJYunXrxpAhQ7CwsODIkSMMHTqUbdu2UbRoUVOXJoQQ2U7CcQacP3+ecuXKYWdnx44dO1Dps9pdIvpckAe6xfh+/fXV/fr1oUiRTBYthMhXnJ2defjwIRqNBjMzMzQaDcHBwTg7Oyfb7/79+7zxxhtA0k6yo6Njwn7vvPMOzs7O3Lhxg4YpTe8jhBB5jPQj9bRr1y7effddhg8fDpDhYAz6d45nzIAjR159+fuDtXVmKxdC5CcODg64uLjg5+cHgJ+fHy4uLkmGVAC0bdsWX19ftFotoaGh+Pv706ZNGwAePnyYsN+VK1cIDAykQoUKxnsRQghhQtI51sNvv/1Gv379qFmzJjNnzsz0cfS9IE8IIbJi4sSJjBkzhvnz51O4cGFmzJgBwMCBAxkxYgS1a9fGw8OD8+fP07p1awCGDRtGmTJlAJg1axaXL19GrVZjYWHBzJkzk3SThRAiL5NolgZFUZg5cyZjxoyhRYsWbNiwgSJZGN+gb+dYCCGyolKlSvj6+iZ7fPHixQm3zczMmDRpUorPfxmmhRAiP5JhFWl4+vQp8+bN44MPPmDbtm1ZCsag/5hjIYQQQghhGtI5TkF0dDQWFhbY2dlx/PhxSpQogdoA00VI51gIIYQQImeTzvFrnjx5Qps2bRgxYgQAJUuWNEgwBhlzLIQQQgiR00k4TuTu3bu4urpy/PhxXF1dDX586RwLIYQQQuRs0rd84dKlS7Rt25bw8HB27NhB8+bNDX6OlMKxlZXBTyOEEEIIITJJwjG6McZt2rRBURQOHTqUMCm+ockFeUIIIYQQOZuEY8DKyor//e9/VKlShXLlymXbeWRYhRBCCCFEzpavw/GcOXOwsrJi4MCBuLm5Zfv55II8IYQQQoicLV9ekKfVahk9ejQjRoxg586dKIpilPNK51gIIYQQImczWji+efMmXbt2pU2bNnTt2pVbt24Z69RJxMbG0qtXL2bOnMlHH33E2rVrUalURjm3jDkWQgghhMjZjBaOJ0yYQPfu3dm5cyfdu3dn/Pjxxjp1Ao1GQ8eOHVm9ejVTpkxh3rx5mBkxnZqZwcGDMH267uvMGQnHQgghhBA5iVHCcUhICAEBAbi7uwPg7u5OQEAAoaGhxjh9AjMzM5o3b87y5cv5+uuvjdYxfsnDAxo2hLAw3VeLFtCypVFLEEIIIYQQaTDK5WBBQUEUL148oUtrZmaGk5MTQUFB2NvbZ/v5r1+/TkhICI0bN2bMmDHZfr7U1Kmj+xJCCCGEEDlTnp8r4fjx47i7u1OsWDEuX75s1GEUQgghhBAidzHKsApnZ2cePnyI5sXVaBqNhuDgYJydnbP1vFu2bKFFixbY2dnh5+cnwVgIIYQQQqTJKOHYwcEBFxcX/Pz8APDz88PFxSVbh1QsXrwYT09PatasydGjR6lcuXK2nUsIIYQQQuQNRhtWMXHiRMaMGcP8+fMpXLgwM2bMyLZzKYrC7t27ad26Nb6+vtja2mbbuYQQQgghRN5htHBcqVIlfH19s/Uc8fHxhIaG4uTkxG+//YZarcbCwiJbzymEEEIIIfKOPLNCXmRkJF5eXjRr1ozo6GgKFCggwVgIIYQQQmRInpit4vHjx7i7u3Py5Enmzp2LlZWVqUsSQgghhBC5UK4Pxzdv3qRNmzbcvXuX9evX4+XlZeqShBBCCCFELpXrw/HQoUN5/Pgx/v7+vPPOO6YuRwghhBBC5GK5PhwvW7aMsLAwXFxcTF2KEEIIIYTI5XJ9OHZ2ds72xUSEEEIIIUT+kGdmqxBCCCGEECKrJBwLIYQQQgjxgoRjIYQQQgghXpBwLIQQQgghxAsSjoUQQgghhHhBwrEQQgghhBAvSDgWQgghhBDiBQnHQgiRx9y8eZOuXbvSpk0bunbtyq1bt5Lto9FomDRpEm5ubrRq1QpfX1+9tgkhRF4n4VgIIfKYCRMm0L17d3bu3En37t0ZP358sn22bNnCnTt32LVrF2vXrmXOnDncu3cv3W1CCJHX5ZgV8jQaDQAPHjwwcSVCCJExL9+3Xr6PmVJISAgBAQEsX74cAHd3d7799ltCQ0Oxt7dP2G/btm34+PigVquxt7fHzc2NHTt2MGDAgDS3vSTv2UKI3Cq99+wcE44fPXoEQI8ePUxciRBCZM6jR48oV66cSWsICgqiePHimJmZAWBmZoaTkxNBQUFJwnFQUBAlS5ZMuO/s7JzwCyOtbS/Je7YQIrdL7T07x4TjWrVqsXr1ahwdHRPe1IUQIjfQaDQ8evSIWrVqmboUo5H3bCFEbpXee3aOCcdWVlY0aNDA1GUIIUSmmLpj/JKzszMPHz5Eo9FgZmaGRqMhODgYZ2fnZPvdv3+fN954A0jaLU5r20vyni2EyM3Ses+WC/KEECIPcXBwwMXFBT8/PwD8/PxwcXFJMqQCoG3btvj6+qLVagkNDcXf3582bdqku00IIfI6laIoiqmLSM/mzZtZsmQJ//77L2PHjqVnz56p7rtu3ToWL16Moig0bdqUcePGoVar092mj6ioKL766isuX76MmZkZo0ePpnnz5sn2W7lyJevXr0+4f/fuXXx8fPjqq684ceIEgwYNonz58gBYWlpmapokfWtJ73zz5s1j48aNAHh5eTFs2LBsq8Xf35/58+cTGxuLoih4e3vTr18/ADZs2MDUqVMpVaoUAKVLl2bevHnpnvvmzZuMGTOGsLAw7OzsmDFjRsJrfUmj0TBlyhQOHTqESqVi0KBB+Pj4pLsto/SpZd68eWzbtg21Wo2FhQUjR47E1dUVgDFjxnD06FGKFi0K6ALKRx99lG21zJkzhzVr1uDk5ARA/fr1mTBhAqD/f1ND1PHll19y7dq1hPvXrl1j3rx5tGzZMs0aM2LGjBns3LmTwMBAtmzZQtWqVZPtY6yfE2P4999/GTNmDM+ePaNw4cLMmDGDihUrMnDgQEaMGEHt2rXRaDRMnjyZI0eOADBw4EC6du0KkOY2YVhZfd8QOUdW33dF6rL6Hp5hSi5w7do15caNG8qoUaOU3377LdX97ty5o7i6uiohISGKRqNR+vXrp2zcuDHdbfqaM2eO8vXXXyuKoig3b95UmjRpokRERKT5nNjYWOXtt99WLly4oCiKohw/flzx8vLK0HmzUkta5zt58qTi7u6uREVFKVFRUYq7u7ty8uTJbKvl3LlzyoMHDxRFUZRnz54pbm5uyqlTpxRFUZT169crH3/8cYbP/eGHHyqbNm1SFEVRNm3apHz44YfJ9tm4caPSr18/RaPRKCEhIYqrq6ty9+7ddLdlRy0HDx5Unj9/riiKoly5ckV58803laioKEVRFGX06NFp/nwbupbZs2cr06dPT/H5mflZz2wdiV25ckVp2LChEhMTk26NGXHq1Cnl/v37SvPmzZVr166luI+xfk6ESCyr7xsi58jq+65IXVbfwzMqVwyrqFq1KpUrV063y7tz507c3Nywt7dHrVbj4+PDtm3b0t2mr+3btyd0T8qXL0+tWrU4ePBgms/Zt28fjo6O1K5dO0Pnyo5aXrdt2zY8PT2xsrLCysoKT0/PDH9PMlJLnTp1KF68OACFChWiUqVKBAYGZvh8L72cssrd3R3QTVkVEBBAaGhokv1Sm5YqvW3ZUYurqyvW1tYAVKtWDUVRCAsLy/D5DFFLWgzx85WZOv788086duyIpaVlhs6VngYNGiQbc/s6Y/ycCJFYTnrfEFljiPddkbqsvodnVK4Ix/p6/aKRkiVLEhQUlO42fd2/fz/hY39IeXqj161fv57OnTsneezWrVt4eXnh4+OTMKQhozJSS2rnS2m6pox+TzJay0v//vsv586d4+2330547OTJk3h4eNCjRw/279+f7nnTmrLq9f2yMmWVPvStJbFNmzZRtmxZSpQokfDY8uXL6dixI0OHDuXff//NcB0ZrWXr1q107NiRfv36cfbs2YTHM/PfNCt1AMTGxrJlyxa8vb31qtHQjPFzIkRihnrfEKZniPddkTWGfJ/OEbNVeHl5cf/+/RS3HT161GjTBKVXR0YFBwdz/Phxpk2blvBYzZo1OXDgAIUKFeLu3bv07duX4sWL06RJk2ypRd/zpSU7vi9Dhw5lwoQJCZ3kZs2a0b59e6ysrAgICGDgwIGsXLmSSpUqZfj4ucHJkyf55ZdfWLZsWcJjI0eOxNHREbVazaZNmxgwYAD+/v7Z9vPfrVs3hgwZgoWFBUeOHGHo0KFs27YtYcyzsfn7+1OyZElcXFxybI1CmFJK7xsid5H3tNwhR4TjzHZPX/dy+qGX7t+/n9CGT2ubvnWULFmSwMDAhKu+g4KCaNSoUar7b9q0iffeey/JVeK2trYJt8uUKYObmxt///13srBqqFrSOt/r35OgoKAUP7Yw5PclJCSEvn37MmDAANq1a5fweOLvUY0aNahfvz4XLlxIMxwba8oqfehbC8DZs2cZNWoU8+fPp2LFigmPv/xDAcDT05Np06bx4MGDJB1cQ9bi6OiYcPudd97B2dmZGzdu0LBhwwz/rGeljpfWr1+frGucVo2GZoyfEyESM8T7hsgZDPG+K7LGkO/TeWpYRZs2bfD39yc0NBStVouvr29CAEtrm77atm3L2rVrAd1QhYsXL6Z5xXBKv+yDg4NRXkwQEhYWxpEjR6hevXqG6shILWmdr23btmzatIno6Giio6PZtGlThr8nGanlyZMn9O3blx49eiS7gvThw4cJtwMDAzl37hzVqlVL87w5acoqfWu5cOECI0eOZPbs2dSsWTPV78GhQ4dQq9VJArOha0l8vitXrhAYGEiFChWAjP+sZ6UO0C3leebMGTp27Kh3jYYmU5sJYzPE+4bIGQzxviuyxpDv07liKjc/Pz9mzpzJs2fPsLCwwNrammXLllG5cmV++eUXnJyc+OCDDwD4448/WLJkCaD7q2z8+PEJH0untU0fz58/Z8yYMVy5cgW1Ws2oUaNwc3MDSFbHmTNn+PTTT9m/f3+Sc6xatYrff/8dc3NzNBoNnp6eDBgwIMPfE31rSe98c+bMYdOmTYCuW/nxxx9nWy0zZsxg9erVSd4IevXqhbe3N7NmzWLPnj0J36u+ffvi5eWV7rlz0pRV+tTi7e1NYGBgktA7c+ZMqlWrRp8+fQgJCUGlUmFra8uXX35J3bp1s62W0aNHc/ny5YTpoUaMGMF7770HpP3f1NB1ACxYsIDr16/z008/JXl+WjVmxJQpU9i1axePHz+maNGi2NnZsXXrVpnaTJhcVt83RM6R1fddkbqsvodnVK4Ix0IIIYQQQhhDnhpWIYQQQgghRFZIOBZCCCGEEOIFCcdCCCGEEEK8IOFYCCGEEEKIFyQcCyGEEEII8YKEYyGEEEIIIV6QcCyEEEIIIcQLEo6FEEIIYXSrVq2ic+fO1KpVizFjxiTbvmjRImbNmsWJEydo2rRpwuOxsbEMHz6cbt26ERERYcySRT4h4VjkaXfu3KFhw4ZcvnwZ0C3d+fbbb3PixAkTVyaEEPmbk5MTQ4cOxdvbO8Xt+/fvTxKKQReMP/74Y549e8ayZcuwtbU1Rqkin5FwLPK0smXL8sUXXzBq1CiioqIYO3YsXl5eNGrUyNSlCSFEvta6dWvc3Nyws7NLtu3p06fcunWLevXqJTwWFRXFkCFDiI+P59dff6VgwYJGrFbkJxKORZ73/vvvU7ZsWd5//32Cg4MZOXKkqUsSQgiRhsOHD9O4cWPMzMwAXcd44MCBWFpasmDBAqysrExcocjLJByLfOH999/n+vXrfPjhh1haWpq6HCGEEGl4fUhFZGQk586dw8vLS97DRbaTcCzyvMjISKZOnUqXLl2YM2cOYWFhpi5JCCFEKrRaLUePHk0SjosWLcqsWbMYM2YMhw4dMmF1Ij+QcCzyvO+++45atWrx3Xff0axZMyZMmGDqkoQQQqTi4sWLlCxZEnt7+ySPt27dmm+//ZYRI0Zw/PhxE1Un8gMJxyJP8/f359ChQ0ycOBGAMWPGEBAQwF9//WXawoQQIp+Lj48nJiYGrVaLRqMhJiaG+Ph4Dhw4wHvvvZfic9zd3Rk/fjxDhw7lzJkzRq5Y5Bfmpi5AiOzk5uaGm5tbwn0bGxt2795twoqEEEIALFiwgLlz5ybc/+uvvxg+fDj79+9n0qRJqT7Py8uLuLg4Bg8ezLJly3jjjTeMUa7IR1SKoiimLkIIIYQQ4vHjx3h6enLo0CFUKpWpyxH5lAyrEEIIIUSOEB4ezpgxYyQYC5OSzrEQQgghhBAvSOdYCCGEEEKIFyQcCyGEEEII8YKEYyGEEEIIIV6QcCyEEEIIIcQLEo6FEEIIIYR4QcKxEEIIIYQQL/wfJRrLl6iKykYAAAAASUVORK5CYII=\n", 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\n", 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" ] @@ -1874,12 +1877,12 @@ }, { "cell_type": "code", - "execution_count": 444, + "execution_count": 52, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1927,7 +1930,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -1964,7 +1967,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -2104,7 +2107,7 @@ "5 5.33 36.2 " ] }, - "execution_count": 5, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -2115,7 +2118,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -2124,7 +2127,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -2142,10 +2145,10 @@ " Method: Least Squares F-statistic: 601.6\n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 5.08e-88\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 5.08e-88\n", "\n", "\n", - " Time: 21:56:03 Log-Likelihood: -1641.5\n", + " Time: 00:07:15 Log-Likelihood: -1641.5\n", "\n", "\n", " No. Observations: 506 AIC: 3287.\n", @@ -2194,8 +2197,8 @@ "Dep. Variable: medv R-squared: 0.544\n", "Model: OLS Adj. R-squared: 0.543\n", "Method: Least Squares F-statistic: 601.6\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 5.08e-88\n", - "Time: 21:56:03 Log-Likelihood: -1641.5\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 5.08e-88\n", + "Time: 00:07:15 Log-Likelihood: -1641.5\n", "No. Observations: 506 AIC: 3287.\n", "Df Residuals: 504 BIC: 3295.\n", "Df Model: 1 \n", @@ -2217,7 +2220,7 @@ "\"\"\"" ] }, - "execution_count": 7, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -2228,7 +2231,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -2240,7 +2243,7 @@ "dtype: float64" ] }, - "execution_count": 10, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -2251,7 +2254,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -2322,7 +2325,7 @@ "2 20.30 0.29 19.73 20.87 8.08 32.53" ] }, - "execution_count": 16, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -2334,12 +2337,12 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 59, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2354,7 +2357,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -2386,7 +2389,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -2404,10 +2407,10 @@ " Method: Least Squares F-statistic: 309.0\n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.98e-88\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.98e-88\n", "\n", "\n", - " Time: 22:24:43 Log-Likelihood: -1637.5\n", + " Time: 00:07:16 Log-Likelihood: -1637.5\n", "\n", "\n", " No. Observations: 506 AIC: 3281.\n", @@ -2459,8 +2462,8 @@ "Dep. Variable: medv R-squared: 0.551\n", "Model: OLS Adj. R-squared: 0.549\n", "Method: Least Squares F-statistic: 309.0\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.98e-88\n", - "Time: 22:24:43 Log-Likelihood: -1637.5\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.98e-88\n", + "Time: 00:07:16 Log-Likelihood: -1637.5\n", "No. Observations: 506 AIC: 3281.\n", "Df Residuals: 503 BIC: 3294.\n", "Df Model: 2 \n", @@ -2483,7 +2486,7 @@ "\"\"\"" ] }, - "execution_count": 41, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -2495,7 +2498,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -2513,10 +2516,10 @@ " Method: Least Squares F-statistic: 113.5 \n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.23e-133\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.23e-133\n", "\n", "\n", - " Time: 22:29:05 Log-Likelihood: -1504.9 \n", + " Time: 00:07:16 Log-Likelihood: -1504.9 \n", "\n", "\n", " No. Observations: 506 AIC: 3036. \n", @@ -2598,8 +2601,8 @@ "Dep. Variable: medv R-squared: 0.734\n", "Model: OLS Adj. R-squared: 0.728\n", "Method: Least Squares F-statistic: 113.5\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.23e-133\n", - "Time: 22:29:05 Log-Likelihood: -1504.9\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.23e-133\n", + "Time: 00:07:16 Log-Likelihood: -1504.9\n", "No. Observations: 506 AIC: 3036.\n", "Df Residuals: 493 BIC: 3091.\n", "Df Model: 12 \n", @@ -2634,7 +2637,7 @@ "\"\"\"" ] }, - "execution_count": 47, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -2646,7 +2649,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -2709,7 +2712,7 @@ "VIF 3.09 1.07 1.77 3.95 3.99 2.87 4.37 1.8 7.45 1.91 9.0 2.3" ] }, - "execution_count": 56, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -2720,7 +2723,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -2738,10 +2741,10 @@ " Method: Least Squares F-statistic: 124.1 \n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.03e-134\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.03e-134\n", "\n", "\n", - " Time: 22:33:49 Log-Likelihood: -1504.9 \n", + " Time: 00:07:17 Log-Likelihood: -1504.9 \n", "\n", "\n", " No. Observations: 506 AIC: 3034. \n", @@ -2820,8 +2823,8 @@ "Dep. Variable: medv R-squared: 0.734\n", "Model: OLS Adj. R-squared: 0.728\n", "Method: Least Squares F-statistic: 124.1\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 2.03e-134\n", - "Time: 22:33:49 Log-Likelihood: -1504.9\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.03e-134\n", + "Time: 00:07:17 Log-Likelihood: -1504.9\n", "No. Observations: 506 AIC: 3034.\n", "Df Residuals: 494 BIC: 3085.\n", "Df Model: 11 \n", @@ -2855,7 +2858,7 @@ "\"\"\"" ] }, - "execution_count": 57, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -2874,7 +2877,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -2892,10 +2895,10 @@ " Method: Least Squares F-statistic: 209.3\n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 4.86e-88\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 4.86e-88\n", "\n", "\n", - " Time: 22:35:32 Log-Likelihood: -1635.0\n", + " Time: 00:07:17 Log-Likelihood: -1635.0\n", "\n", "\n", " No. Observations: 506 AIC: 3278.\n", @@ -2950,8 +2953,8 @@ "Dep. Variable: medv R-squared: 0.556\n", "Model: OLS Adj. R-squared: 0.553\n", "Method: Least Squares F-statistic: 209.3\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 4.86e-88\n", - "Time: 22:35:32 Log-Likelihood: -1635.0\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 4.86e-88\n", + "Time: 00:07:17 Log-Likelihood: -1635.0\n", "No. Observations: 506 AIC: 3278.\n", "Df Residuals: 502 BIC: 3295.\n", "Df Model: 3 \n", @@ -2977,7 +2980,7 @@ "\"\"\"" ] }, - "execution_count": 58, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -2995,7 +2998,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -3013,10 +3016,10 @@ " Method: Least Squares F-statistic: 448.5 \n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 1.56e-112\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 1.56e-112\n", "\n", "\n", - " Time: 22:42:03 Log-Likelihood: -1581.3 \n", + " Time: 00:07:17 Log-Likelihood: -1581.3 \n", "\n", "\n", " No. Observations: 506 AIC: 3169. \n", @@ -3068,8 +3071,8 @@ "Dep. Variable: medv R-squared: 0.641\n", "Model: OLS Adj. R-squared: 0.639\n", "Method: Least Squares F-statistic: 448.5\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 1.56e-112\n", - "Time: 22:42:03 Log-Likelihood: -1581.3\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 1.56e-112\n", + "Time: 00:07:17 Log-Likelihood: -1581.3\n", "No. Observations: 506 AIC: 3169.\n", "Df Residuals: 503 BIC: 3181.\n", "Df Model: 2 \n", @@ -3094,7 +3097,7 @@ "\"\"\"" ] }, - "execution_count": 61, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -3105,7 +3108,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -3166,7 +3169,7 @@ "1 503.0 15347.0 1.0 4125.0 135.0 0.0" ] }, - "execution_count": 69, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -3179,7 +3182,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -3204,7 +3207,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -3214,7 +3217,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -3232,10 +3235,10 @@ " Method: Least Squares F-statistic: 214.2 \n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 8.73e-122\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 8.73e-122\n", "\n", "\n", - " Time: 23:06:30 Log-Likelihood: -1550.6 \n", + " Time: 00:07:18 Log-Likelihood: -1550.6 \n", "\n", "\n", " No. Observations: 506 AIC: 3113. \n", @@ -3296,8 +3299,8 @@ "Dep. Variable: medv R-squared: 0.682\n", "Model: OLS Adj. R-squared: 0.679\n", "Method: Least Squares F-statistic: 214.2\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 8.73e-122\n", - "Time: 23:06:30 Log-Likelihood: -1550.6\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 8.73e-122\n", + "Time: 00:07:18 Log-Likelihood: -1550.6\n", "No. Observations: 506 AIC: 3113.\n", "Df Residuals: 500 BIC: 3139.\n", "Df Model: 5 \n", @@ -3325,7 +3328,7 @@ "\"\"\"" ] }, - "execution_count": 106, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -3344,7 +3347,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -3379,7 +3382,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -3507,7 +3510,7 @@ "4 13 Yes No " ] }, - "execution_count": 110, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -3518,7 +3521,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -3527,7 +3530,7 @@ "'Sales ∼ Advertising + Age + CompPrice + Education + Income + Population + Price + ShelveLoc + US + Urban + Income:Advertising + Price:Age'" ] }, - "execution_count": 113, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -3538,7 +3541,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -3547,7 +3550,7 @@ "'Sales ∼ Advertising + Age + CompPrice + Education + Income + Population + Price + ShelveLoc + US + Urban'" ] }, - "execution_count": 117, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -3558,7 +3561,7 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -3576,10 +3579,10 @@ " Method: Least Squares F-statistic: 210.0 \n", "\n", "\n", - " Date: Tue, 14 Sep 2021 Prob (F-statistic): 6.14e-166\n", + " Date: Wed, 15 Sep 2021 Prob (F-statistic): 6.14e-166\n", "\n", "\n", - " Time: 23:35:54 Log-Likelihood: -564.67 \n", + " Time: 00:07:18 Log-Likelihood: -564.67 \n", "\n", "\n", " No. Observations: 400 AIC: 1157. \n", @@ -3664,8 +3667,8 @@ "Dep. Variable: Sales R-squared: 0.876\n", "Model: OLS Adj. R-squared: 0.872\n", "Method: Least Squares F-statistic: 210.0\n", - "Date: Tue, 14 Sep 2021 Prob (F-statistic): 6.14e-166\n", - "Time: 23:35:54 Log-Likelihood: -564.67\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 6.14e-166\n", + "Time: 00:07:18 Log-Likelihood: -564.67\n", "No. Observations: 400 AIC: 1157.\n", "Df Residuals: 386 BIC: 1213.\n", "Df Model: 13 \n", @@ -3701,7 +3704,7 @@ "\"\"\"" ] }, - "execution_count": 128, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -3712,7 +3715,7 @@ }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -3767,7 +3770,7 @@ "Medium 0.0 1.0" ] }, - "execution_count": 150, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -3808,7 +3811,8 @@ }, "toc-autonumbering": false, "toc-showcode": false, - "toc-showmarkdowntxt": false + "toc-showmarkdowntxt": false, + "toc-showtags": false }, "nbformat": 4, "nbformat_minor": 4 From f96d7a0b8b54e40ba49fd2291488152096639d7e Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Thu, 16 Sep 2021 19:07:15 +0200 Subject: [PATCH 18/32] rename --- classification_helper.py => classification.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename classification_helper.py => classification.py (100%) diff --git a/classification_helper.py b/classification.py similarity index 100% rename from classification_helper.py rename to classification.py From d826608236d831ed7e652f41e83dcb44eccebf46 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Thu, 16 Sep 2021 23:27:44 +0200 Subject: [PATCH 19/32] use widgets --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index 5611a00..5cb878b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,3 +6,4 @@ scikit-learn statsmodels matplotlib seaborn +ipywidgets From 19ea5be9df6093300e00465ed773f474cda6c8af Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Thu, 16 Sep 2021 23:28:08 +0200 Subject: [PATCH 20/32] update --- 04_Classification.ipynb | 402 +++++++++++++++++++++------------------- classification.py | 2 +- 2 files changed, 212 insertions(+), 192 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index b7c2f6a..fd43bf1 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -40,7 +40,7 @@ "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", - "import sklearn.linear_model as skl_lm\n", + "from sklearn.linear_model import LogisticRegression\n", "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis\n", "from sklearn.metrics import confusion_matrix, classification_report, precision_score, roc_curve, auc, log_loss\n", "from sklearn import preprocessing\n", @@ -48,14 +48,12 @@ "\n", "from scipy import stats\n", "\n", - "import scikitplot as skplt\n", - "\n", "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf\n", "\n", "from ipywidgets import widgets\n", "\n", - "from classification_helper import print_classification_statistics, plot_ROC, print_OLS_error_table, plot_classification\n", + "from classification import print_classification_statistics, plot_ROC, print_OLS_error_table, plot_classification\n", "\n", "%matplotlib inline\n", "plt.style.use('seaborn-white')" @@ -65,19 +63,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 4.1 An Overview of Classification" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load data" + "## 4.1 An Overview of Classification" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -105,13 +96,13 @@ " student\n", " balance\n", " income\n", - " default2\n", - " student2\n", + " is_default\n", + " is_student\n", " \n", " \n", " \n", " \n", - " 1\n", + " 0\n", " No\n", " No\n", " 729.526495\n", @@ -120,7 +111,7 @@ " 0\n", " \n", " \n", - " 2\n", + " 1\n", " No\n", " Yes\n", " 817.180407\n", @@ -129,7 +120,7 @@ " 1\n", " \n", " \n", - " 3\n", + " 2\n", " No\n", " No\n", " 1073.549164\n", @@ -142,43 +133,36 @@ "" ], "text/plain": [ - " default student balance income default2 student2\n", - "1 No No 729.526495 44361.625074 0 0\n", - "2 No Yes 817.180407 12106.134700 0 1\n", - "3 No No 1073.549164 31767.138947 0 0" + " default student balance income is_default is_student\n", + "0 No No 729.526495 44361.625074 0 0\n", + "1 No Yes 817.180407 12106.134700 0 1\n", + "2 No No 1073.549164 31767.138947 0 0" ] }, - "execution_count": 2, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# In R, I exported the dataset from package 'ISLR' to an Excel file\n", - "df_default = pd.read_excel('Data/Default.xlsx')\n", + "df_default = pd.read_csv('Data/Default.csv')\n", "\n", "# Note: factorize() returns two objects: a label array and an array with the unique values.\n", "# We are only interested in the first object. \n", - "df_default['default2'] = df_default.default.factorize()[0]\n", - "df_default['student2'] = df_default.student.factorize()[0]\n", + "df_default['is_default'] = df_default.default.factorize()[0]\n", + "df_default['is_student'] = df_default.student.factorize()[0]\n", "df_default.head(3)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot data" - ] - }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 60, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -195,22 +179,17 @@ "ax3 = plt.subplot(gs[0,-1])\n", "\n", "# Take a fraction of the samples where target value (default) is 'no'\n", - "df_no = df_default[df_default.default2 == 0].sample(frac=.08)\n", + "df_no = df_default[df_default.is_default == 0].sample(frac=.08)\n", "# Take all samples where target value is 'yes'\n", - "df_yes = df_default[df_default.default2 == 1]\n", + "df_yes = df_default[df_default.is_default == 1]\n", "\n", - "ax1.scatter(df_yes.balance, df_yes.income, s=40, c='orange', marker='+', linewidths=1)\n", - "ax1.scatter(df_no.balance, df_no.income, s=40, marker='o', linewidths='1',\n", - " edgecolors='lightblue', facecolors='white', alpha=.6)\n", + "sns.scatterplot(data=df_no, x=\"balance\", y=\"income\", s=40, marker='o', linewidths='1',\n", + " edgecolor='blue', facecolors='white', alpha=0.8, ax=ax1)\n", + "sns.scatterplot(data=df_yes, x=\"balance\", y=\"income\", s=40, color='orange', marker='+', linewidths='1', ax=ax1)\n", "\n", - "ax1.set_ylim(ymin=0)\n", - "ax1.set_ylabel('Income')\n", - "ax1.set_xlim(xmin=-100)\n", - "ax1.set_xlabel('Balance')\n", - "\n", - "c_palette = {'No':'lightblue', 'Yes':'orange'}\n", - "sns.boxplot('default', 'balance', data=df_default, orient='v', ax=ax2, palette=c_palette)\n", - "sns.boxplot('default', 'income', data=df_default, orient='v', ax=ax3, palette=c_palette)\n", + "c_palette = {'No': 'lightblue', 'Yes': 'orange'}\n", + "sns.boxplot(x='default', y='balance', data=df_default, orient='v', ax=ax2, palette=c_palette)\n", + "sns.boxplot(x='default', y='income', data=df_default, orient='v', ax=ax3, palette=c_palette)\n", "gs.tight_layout(plt.gcf())" ] }, @@ -218,38 +197,29 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 4.3 Logistic regression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### scikit-learn" + "## 4.2 Why Not Linear Regression?" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 61, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n", - " intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n", - " penalty='l2', random_state=None, solver='newton-cg', tol=0.0001,\n", - " verbose=0, warm_start=False)\n", - "classes: [0 1]\n", - "coefficients: [-10.651330005794106, 0.0054989165568046445]\n" - ] + "data": { + "text/plain": [ + "Text(0, 0.5, 'Probability of Default')" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": 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skkCZmc0EMLN6/MnmRUSOSl8swe7eCMc11Wju4DzKZhTRjwOP4t8k9gTwgZxGJCIlYXNnP8EAHN9cm+9QSlo2o4g+DJiZzQIOOOe83IclIsUsmkyxvTvMMfXVVJWF8h1OSRs1CZjZr/HnERhejnPuzTmNSkSK2taufpIeHD9DrYB8G6sl8N704y3AffhdQmcDq3IdlIgUr2TKY0tnmNk1lTRWluc7nJI3ahJwzjkAM5vjnPthuvheM/v7KYlMRIrSrt4BoskUJ6gVMC1kc2IYM3sP8CTweiCc04hEpGh5nscrHf00VJQxu6Zi/B0k57K5Lms1cCLweaAV+IucRiQiRastHKMnluCEGbUaKG6ayObqoH3Ah6YgFhEpcq90+ENELKzXQHHThe7QEJEp0R31h4hY2lyjISKmkbEmlXlj+lEzPIjIUdvc2U8oAEuadEJ4OhmrO+h2M7sA+ImZvZWMoaSdc7GcRyYiRSOSSLKzZ4DFjTVUaoiIaWWsJPDfwO+BhcDLGeUecFwugxKR4rKlK0zK0xAR09FY9wncDNxsZp9wzv3zFMYkIkUkkfLY2tXPvLpK6iqyuipdplA2n8hdZvYj4GT8FsEHnHPbcxuWiBSLHT1hYkmPE5rr8h2KjCCbzrl1wL8BfwTcDdyZ04hEpGh4nsfmjn6aq8ppqdYQEdNRNi2BKufchvTyfWZ2Yy4DEpHisa8/Sl88yVkz63Vz2DSV7aQyrwMYfBQRycbmzn6qy4IsqK/KdygyimxaAn8P3Glm84A9wLXj7WBmQeAbwDIgClzjnNucsf6r+N1Lvemiy4By4B6gOv0+VznnNE6RSIHqisTZH45x6sx6gmoFTFvZDBvxe+CsCb7u5fjdSCvN7Fzgi/gH+kHLgbc75w4MFqQTwz3OubvM7CPAdcCXJ/i+IjJN+DeHBVis+YOntVzdtfEG4EEA59wTwJmDK9KthBOAdWb2qJldPXwf4GfAW3IUm4jkWCSRZFfvAIsaq6nQzWHTWq4+nQagO+N50swGWx21wNeAdwN/DNxgZqcN26cXaMxRbCKSY6+mbw5bqpvDpr1xk4CZfc3MTp/g6/YA9Znv45xLpJfDwFecc2HnXC/wK/xzB5n71ANdE3xPEZkGkimPrV1h5tZWUq+bw6a9bFoCPwE+ZmaPmdn1ZtaQxT6PAhcDpM8JPJexrhX4jZmFzKwcvxvod5n7ABcBj2RZBxGZRnamZw7TEBGFYdwk4Jx70Dn35/gnds8D9prZXWa2aIzd7gUiZvYY/sndG83sJjO71Dn3ErAeeAJ4GPiec+4F4NPAFWb2KLAS+PpR1UxEptzgzWGNlWXM0sxhBWHctpqZnQT8LXAJ8Gv8X+5lwH+SccI3k3MuxdBE9YM2Zaz/AvCFYfu8hn+OQEQK1P70zGHL5zbq5rACkU2H3R34Q0d8yjk3MFhoZt/NWVQiUpA2d/ozhx2jmcMKRjbnBH7mnLt7MAGY2WcBnHP/mtPIRKSg9MYS7OuPclyTZg4rJKO2BMzsPcA1wElmNnjCNoR/Z+9HpyA2ESkgmzv7CQZgiW4OKyhjdQd9H3gI+BhwW7osBbTlOigRKSyxZIod3QMc01BNVVko3+HIBIzVHfQ659w2/BPAlv53EvCmKYhLRArI1q4wSc/TZaEFaKyWwIXARuCKYeUe8IucRSQiBSXleWzp6mdWTQWNlZozoNCMlQS+bGYV+AO5iYiMaHdvhEgixRlz1AooRGMlAYf/qz9TAE00LyJpnuexubOfuooQc2sr8x2OHIGxJppfMpWBiEjh6RiI0xmJc/rsBt0cVqDGukT06865vzOzxxnWInDOvT7nkYnItPdyZx8VwQDHNurmsEI1VnfQP6cfh58YFhGhN5Zgb18Ua6mjLKg5AwrVqJ9ceiwf8G8Q+xLwAPA5/HsFRKTEvdLh3xy2VDeHFbRs0vd38McPegP+HMB35jQiEZn2IokkO3rCHNtQo5vDClw2A8glnXM/Sy/fb2YfyGVAIjL9Dc4cdsIMXRZa6MY6Mfy29GK/mX0Y+F/gbOC10fYRkeKXSKV4tbOfeXWaOawYjPUJ/mX6sQN/uIiT0s+jOY1IRKa17d0DxFIerTPq8h2KTIKx7hO4aqRyM5uXu3BEZDobvDlsRlU5LdWaOawYZDOz2K3ADUAFUAO8DJyS47hEZBra3RehP57k1FnZTDUuhSCbq4MuAhbizwt8ErA7pxGJyLTkeR6vdPRTVx5ifp2GiCgW2SSBdudcFKh3zm3Gbw2ISIk5MBCjMxLn+Bm1GiKiiGSTBHaZ2dX4Vwl9FlA7UKQEufY+KkNBFjXod2AxySYJXAf8EvgQsAcNIyFScjoGYrSFY5wwo1bzBxeZbC7ybQbeD7QCz6NzAiIlx3X4A8UdpyEiik42LYHvAZuBj+MngLtzGpGITCvd0Th7+6Isba7VQHFFKJuWQJVz7pvp5WfN7F25DEhEphfX3kdZMMBSzR9clMYaNqI1vXjAzP4MeAR/2IitUxGYiORfbyzBrt4IrTNqqQipFVCMxmoJrM1YvgG4nqHpJUWkBLzc3kcwAMerFVC0xho24oLBZTNrAZYCrzrnDkxFYCKSX+F4gh09AxzXpOGii9m47bt0V9BjwMeAJ8zs3TmPSkTyblN7P4EAnKCB4opaNp18NwErnHOXA2fgXy4qIkWsP5Zge3eYxY011JSrFVDMskkCKedcH4BzrheI5DYkEcm3l9r7CATAWtQKKHbZXCK6xcy+iD+pzBuBLbkNSUTyqTfmnws4vrmWap0LKHrZtASuAV4F3pp+vDanEYlIXm060EsoEKBVU0eWhGxaAg845942/mYiUuh6onF2pu8L0BVBpSGbJNBlZpfiTyaTAnDOvZzTqEQkL15q76MsEOCEZp0LKBXZJIFZwI0Zzz3gzbkJR0TypTMSZ3dvBGupo7JMdweXijGTgJk1AO9wzoWnKB4RyQPP83h+fw8VoSCtuju4pIya7s3s74Bn8QeNe/vUhSQiU+21/ij7wzFOaqmjXGMElZSxPu0rAQNWAh+YmnBEZKr5rYBeastDLNF8ASVnrCQQcc7F0mMFVUxVQCIytbZ3D9ATS3DqrHqCmju45GTb7tNfhkgRSqRSvNjey4yqcubXVeU7HMmDsU4Mn2Jm9+AngMFlAJxzV471omYWBL4BLAOiwDXOuc0Z629kaK7inzrnbjWzALALeCVd/rhz7qMTrZCIZO+Vjn4iiRRnz2smoFZASRorCfx5xvK3Jvi6l+PPSLbSzM4FvghcBmBmxwGrgXPwLzd9xMzuBcLA75xzl0zwvUTkCPTHE7iOPhbWVzGzRj2+pWqs+QQePorXfQPwYPp1njCzMzPW7QT+2DmXBDCzcvxB6VYAC8zs18AAcKNzzh1FDCIyhufaegkQ4NRZDfkORfIoV9eCNQDdGc+TZlYG4JyLO+cOmFnAzG4HnknfgbwX+Gx6MpvPAN/PUWwiJa+tP8qevgjWUquhoktcrpJAD1Cf+T7OucTgEzOrAtant7khXbwR+C8A59xv8FsF6qQUmWQpz+PZth5qy0MaHkJylgQeBS4GSJ8TeG5wRfrA/l/As8656wa7hYBbSN+PYGbLgB3OOc1nLDLJtnT20xtLcNrsBkJB/c4qddmMHXQk7gXeamaP4V9ddJWZ3QRsBkLAm4BKM7sovf1Hgc8B3zezdwAJ4G9zFJtIyeqPJ3jxQB9zayuZW1uZ73BkGshJEnDOpYD3DivelLE82gXJ78hFPCLi3xn8zL4eAsDpcxp1SagAuesOEpFpZmdvhLZwlFNm1etksBykJCBSAqKJJH9o62ZGVTnHaXwgyaAkIFIC/tDWQzzpsXyuuoHkUEoCIkVuV88AO3sjnNhSR0Nleb7DkWlGSUCkiA3EkzzzWjfNVeVYi+4JkMMpCYgUKc/zeHpfFykPzpzXpGGiZURKAiJF6tWuMG3hGK+bXU99Ra5uCZJCpyQgUoQ6I3Ge29/DnNpKljTqaiAZnZKASJGJJVP8dk8nlaEgZ85t0tVAMiYlAZEiMngeYCCe5Oz5zVSW6SsuY9NfiEgReaWzn719UV43q4GWak0UI+NTEhApEvv6Ijy/v5cFdVUsbdZ5AMmOkoBIEeiJxnlybxeNlWWsmKe7giV7SgIiBS6aSPLY7k5CgQArF8ygLKivtWRPfy0iBSyRSvH47k4iiSQrFzRrdFCZMCUBkQKV8jye2N1FRyTOWfOamKETwXIElARECpDneWzc20VbOMryOY0sqK/Od0hSoJQERAqM53k881o3u3ojnDqrnsWaH0COggYUESkg/s1g3ezoGcBm1NE6QyODytFREhApEKl0AtjZM8BJLXWcqKGhZRIoCYgUgETK46m9nezti3LyzDpObKnPd0hSJJQERKa5aCLJ47s76YjEWTa7gaXNtfkOSYqIkoDINNYbS/DYrg4GEknOmd/MgvqqfIckRUZJQGSa2tMXYePeLoIBOO+YFg0IJzmhJCAyzXiex4sH+nAdfTRVlnPugiZqyvVVldzQX5bINBKOJ9i4t5sDAzEWNVZz+uxGQkENBie5oyQgMg14nseOngGebesBYMXcRhZpWkiZAkoCInkWjid5tq2bvX1RWqrLOXNuE7WaGF6miP7SRPIk5Xls7ujnpfY+AE6dVc8JzbWaC0CmlJKAyBTzPI+9fVFeONBDbyzJvLpKls1u0MlfyQv91YlMof3hKC/s76UjEqeuIsTKBc3Mq9O1/5I/SgIiOeZ5Hvv6o7zc0U/7QIyqsiBnzGlkUWM1QXX9SJ4pCYjkSCKVYldvhM0d/fTEElSXBTltVgNLmmp02adMG0oCIpOsMxJnW1eYnb0DJFIeDRVlnDm3kYUN+uUv04+SgMgk6I0m2NU7wO7eCD2xBMEALKyvZnFjDS3V5briR6YtJQGRI5DyPDoG4rwWjrI3feAHaKkuZ9nsBo5pqKYipIn7ZPpTEhDJgud59MQStIdjtIWjtIVjJFIe4B/4T5vdwIK6KqrLQ3mOVGRilAREhvE8j0giRXc0TkckTsdAjI5I/OBBv7osxML6KubUVjKrplK/+KWgKQlIyfI8j4FEiv54gr5Ykp5onO5ogp5onFj6gA/QWFnGMfXVtFSXM6O6gtrykPr4pWgoCUjRSqRSDCRSRBJJIokUA4kkA4kk/bEk/fEk/fEEGcd6ygIBGirLmF9fTWNlGY2V5TRWlVEe1C99KV45SQJmFgS+ASwDosA1zrnNGeuvBa4DEsCnnXMPmNlM4B6gGtgDXOWcCx9RAPfoV1qxSAXKSQRrSARrSYQGHxuIlTUTCzURK0v/CzUTK2smXtZEtGwGkfLZJEINh71eKNlPbXQ79dFtzI1upza6jbroNmqj26iJ7SKAN0IUMuUCIaiYA9E9429bswiW3QZLVg+VbV0Pz94M4R1Qc+zh67Pd7uD67YfGtnQNnP2NI6/fNJKrlsDlQJVzbqWZnQt8EbgMwMzmAv8AnAlUAb8xs/8GPgnc45y7y8w+gp8kvjzhdx4jAQx9vQOHPHrDnvuLo60b2ubguoNFY7ze4LrAyK/njbDt4MOYr3dw2yxeL+N1PUJ4gRAeQbxAcOh55jL+cwiOuu7w1ygjFaggFSwnFagkmbGcCpSTClYMW65Ib1NJIlhD8uDB3j/ge8HxZ9MKJfupSHZRkeiiItFJ48BLzOn+H6rir1Ed30dVfB/Vsdeoiu+jLNXH6H8hMm14yewSAPgH6CfX+MtLVvsH7ifXQDI88vpB4203fH1mbJu/6S8XQSLIVRJ4A/AggHPuCTM7M2Pd2cCjzrkoEDWzzcBp6X0+k97mZ+nliSeBtF+c8gh9VUuPdHeZTF6KoBcllIoR9OIEvZj/LxU7ZLky0U5Zcgeh1ABlqX7Kkv3+YypMKBk+uFye7KEi0Ul5oouKZDchL5rvGkq+JcP+L/Ylq/3H4QfuzPWDxttupPWZtqxTEhhDA9Cd8TxpZmXOucQI63qBxmHlg2VHzPZ9jZ9uOZaHN/knAAHWvBnwPNb+yn8EOP8kjwtOhi884NE74JfPb4Yb3gr3bfR46tWh/T96CezuhLv/d6hN8c6zPM5ZCh++xy/z8Dh5Plz9Jo/vPAwv7hra9ourPR5/BX4IMJ4tAAAHwklEQVT4RLrM87jmAjimBT7546H3ef0J8JcrPb5wP+xo98saqj0+8xfwk2c8fvrM4O4eH73Mf53PbBiq06rTPS5ZAf+4HrrTf8PHtnh88k/82P93E6RSSVLJJF/76xRb21J8boP/PJVMccNbklx0WpK3fzZFKpnE81Kce1ySz1+R4h+/n+SRTf52qWSSP3w2yY+eSPGJH6XS+ye44+oYpy+M0XpjjHgsRiqZ5NoLYN01sOJm+N02P6Z5TbDnX+FT/wm3/r+hz27jpyEJnPHxobJb3gmfehfMfx/s7fLLli+Gp2+DNXfAt389tO3ur8PTW+HSLw6VrX2P//kHMo4Bq86A+/8RLrkdHnhmqNxbD+t+Bdd9Z6hswwdhxRJY8HdDZROtE8CZqlMO67SdDRvuZ8Xu7SPX6cbt/O5P/HbgvHnz2HP7vlHqtJ0z/2SovTh6nZKsWbOGb3/720N12r2bp59+mksvvXSoTmvXsmbNmkMuJli1ahX3338/l1xyCQ888MBQnTyPdevWcd111x0s27BhA5dccgm5Ehg88EwmM/sS8IRz7ofp57uccwvTy5cCf+ycuyH9/F7gNmBdurzNzJYBtznnVmW85mJg60MPPcTChQtHf3OdDxApTTWL4PJtcN/iQ/vwh68fNN52o60fFAjBXyaOJuIpsWvXLi688EKAJc65bcPX5+qyh0eBiwHS5wSey1j3JHCemVWZWSNwEvB85j7ARcAjOYpNRIpNqMY/qQv+Y6hm9PWDxttupPWZlq45upiniVwlgXuBiJk9ht+vf6OZ3WRmlzrn9gFfxT/I/wq42TkXAT4NXGFmjwIrga8f0Ttfqas7RApeIASV87PbtmYRnL1uqL9/yWr/ec0iIHD4+kHjbXfI+mGxHX99UZwPgBx1B+VC1t1BIiJyUL66g0REpAAoCYiIlDAlARGREqYkICJSwpQERERKmJKAiEgJK6ShpEMA+/bty3ccIiIFI+OYOeK0d4WUBOYBrF49wnCwIiIynnnAluGFhZQEngLOA/bijy8mIiLjC+EngKdGWlkwdwyLiMjk04lhEZESVkjdQVkZb2rLQmVmzzA038JWYC3wFfwpOn/hnLu1kOtuZucAn3fOnW9mxwN34U8G9zzwPudcysxuAd6BX+cPOOeeHG3bfNQhG8PquRy4H3glvfqbzrkfFHI9zawcuBNYDFTiDwz5IkX2eY5Sz10U4OdZjC2Bg1NbAh/Bn9qyoJlZFYBz7vz0v6uAbwFX4s/Idk76gFKQdTezDwN34E83CvAl4OPOufPw58S8LF2/NwHnAFcA/zratlMZ+0SMUM/lwJcyPtcfFEE93w20p+O8CH804GL8PEeqZ0F+nkXXEmDsqS0L1TKgxsx+gf+ZfQqodM5tATCznwMX4p/8KcS6bwHeCfxb+vkK4OH08s+AtwEOv8XjATvMrMzMZo2y7b1TFfgEjVRPM7PL8H89fgD/77eQ6/kj4McZzxMU5+c5Wj0L7vMsxpbAiFNb5iuYSRIGbgfeDrwX+G66bNBIU3RCgdTdOfefQDyjKJD+0sDodRssH2nbaWmEej4JfMg590bgVeAWCryezrk+51yvmdXjHyQ/ThF+nqPUsyA/z2JMAj1AfcbzYHpu40L2MvB955znnHsZ/49qRsb6eqCL4ql7Zt/oaHUbLB9p20Jxr3Pu6cFl4AyKoJ5mdgzwa+DfnHP3UKSf5wj1LMjPsxiTwFhTWxaqq0n375vZfKAG6DezpWYWwG8hPELx1P0ZMzs/vTw41eijwNvNLGhmx+InuAOjbFsofm5mZ6eXLwSepsDraWZzgF8A/+ScuzNdXHSf5yj1LMjPc9p3FRyBe4G3pqe2DABX5TmeyfAd4C4z+w3+1QRX4/+SWI9/I8gvnHO/NbOnKI66fxD4tplVAC8BP3bOJc3sEeBx/B8v7xtt23wEfISuB75uZjFgH7DGOddT4PX8GNAMfMLMPpEuez/w1SL7PEeq503AvxTa56mbxURESlgxdgeJiEiWlAREREqYkoCISAlTEhARKWFKAiIiJawYLxEVmZD09do/xB/oLACUA1c75zaNsO1i4D+cc+dOZYwiuaIkIOL7lXPuCgAzexv+MB2r8huSSO4pCYgcrhnYZmZvwh//Bfy7tP8aiA1uZGZ/in/zTyBd9KfAqcA/pbdbAvzAOXebmZ2AP4JoBf64T1fgjya6Lv0Ywb+5aGduqyZyKJ0TEPG92cz+x8wexx8n/sfAKcC7nXNvBjYAfzZsn1bgHc658/FHxXx7unwR8C5gJfDhdNntwGfTw3yvxR9X5nbgq865C9LLn8tR3URGpZaAiC+zO8jwb/O/Cn+4gz5gAf44MJnagLvT609M7wPwXHrgvoSZDaTLBl8T59wP0+/zL8DHzOyf8FsTMUSmmJKAyOFeSz/eARyXHjL4boa6fTCzRuBW4Nh00X9nrB9pLJaXgLOAX5rZavxRYDcBtzvnHjOzE/EnHxGZUkoCIr43m9n/AEn8oX1vAk4DfmtmnfiJYX7G9j34LYPfAf1AZ3r91lFe/0PAWjP7OP45gXcDPwG+mZ45rhp/oDWRKaUB5ERESphODIuIlDAlARGREqYkICJSwpQERERKmJKAiEgJUxIQESlhSgIiIiVMSUBEpIT9f39ukCx1He/cAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": {}, @@ -257,46 +227,27 @@ } ], "source": [ - "X_train = df_default.balance.values.reshape(-1,1) \n", - "y = df_default.default2\n", - "\n", - "# Create array of test data. Calculate the classification probability\n", - "# and predicted classification.\n", - "X_plot = np.arange(df_default.balance.min(), df_default.balance.max()).reshape(-1,1)\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n", "\n", - "clf = skl_lm.LogisticRegression(solver='newton-cg')\n", - "clf.fit(X_train,y)\n", - "prob = clf.predict_proba(X_plot)\n", - "\n", - "fig = plt.figure()\n", - "ax = plt.axes()\n", - "# Right plot\n", - "ax.scatter(X_train, y, color='orange')\n", - "ax.plot(X_plot, prob[:,1], color='lightblue')\n", - "\n", - "ax.hlines(1, xmin=ax.xaxis.get_data_interval()[0],\n", - " xmax=ax.xaxis.get_data_interval()[1], linestyles='dashed', lw=1)\n", - "ax.hlines(0, xmin=ax.xaxis.get_data_interval()[0],\n", - " xmax=ax.xaxis.get_data_interval()[1], linestyles='dashed', lw=1)\n", - "ax.set_ylabel('Probability of default')\n", - "ax.set_xlabel('Balance')\n", - "ax.set_yticks([0, 0.25, 0.5, 0.75, 1.])\n", - "ax.set_xlim(xmin=-100)\n", - "print(clf)\n", - "print('classes: ', clf.classes_)\n", - "print('coefficients: ', [*clf.intercept_, *clf.coef_.tolist()[0]])" + "sns.regplot(data=df_default, x=\"balance\", y=\"is_default\", ax=ax1, ci=None, marker=\"|\", scatter_kws=dict(color=\"orange\"))\n", + "sns.regplot(\n", + " data=df_default, x=\"balance\", y=\"is_default\", ax=ax2, \n", + " logistic=True, ci=None, marker=\"|\", scatter_kws=dict(color=\"orange\")\n", + ")\n", + "ax1.set_ylabel(\"Probability of Default\")\n", + "ax2.set_ylabel(\"Probability of Default\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### statsmodels" + "## 4.3 Logistic regression" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -339,7 +290,7 @@ " \n", " \n", " \n", - " const\n", + " Intercept\n", " -10.651331\n", " 0.361169\n", " -29.491287\n", @@ -361,26 +312,24 @@ "" ], "text/plain": [ - " Coef. Std.Err. z P>|z| [0.025 0.975]\n", - "const -10.651331 0.361169 -29.491287 3.723665e-191 -11.359208 -9.943453\n", - "balance 0.005499 0.000220 24.952404 2.010855e-137 0.005067 0.005931" + " Coef. Std.Err. z P>|z| [0.025 0.975]\n", + "Intercept -10.651331 0.361169 -29.491287 3.723665e-191 -11.359208 -9.943453\n", + "balance 0.005499 0.000220 24.952404 2.010855e-137 0.005067 0.005931" ] }, - "execution_count": 5, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "X_train = sm.add_constant(df_default.balance)\n", - "y = df_default.default2\n", - "est = smf.Logit(y.ravel(), X_train).fit()\n", + "est = smf.logit(\"is_default ~ balance\", data=df_default).fit()\n", "est.summary2().tables[1]" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -423,7 +372,7 @@ " \n", " \n", " \n", - " const\n", + " Intercept\n", " -3.504128\n", " 0.070713\n", " -49.554094\n", @@ -432,7 +381,7 @@ " -3.365532\n", " \n", " \n", - " student2\n", + " student[T.Yes]\n", " 0.404887\n", " 0.115019\n", " 3.520177\n", @@ -445,26 +394,31 @@ "" ], "text/plain": [ - " Coef. Std.Err. z P>|z| [0.025 0.975]\n", - "const -3.504128 0.070713 -49.554094 0.000000 -3.642723 -3.365532\n", - "student2 0.404887 0.115019 3.520177 0.000431 0.179454 0.630320" + " Coef. Std.Err. z P>|z| [0.025 0.975]\n", + "Intercept -3.504128 0.070713 -49.554094 0.000000 -3.642723 -3.365532\n", + "student[T.Yes] 0.404887 0.115019 3.520177 0.000431 0.179454 0.630320" ] }, - "execution_count": 6, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "X_train = sm.add_constant(df_default.student2)\n", - "y = df_default.default2\n", - "est = smf.Logit(y, X_train).fit()\n", + "est = smf.logit(\"is_default ~ student\", data=df_default).fit()\n", "est.summary2().tables[1]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.3.4 Multiple Logistic Regression" + ] + }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -479,84 +433,152 @@ { "data": { "text/html": [ - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", + "
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Model: Logit Pseudo R-squared: 0.462
Dependent Variable: default2 AIC: 1579.5448
Date: 2018-06-23 13:11 BIC: 1608.3862
No. Observations: 10000 Log-Likelihood: -785.77
Df Model: 3 LL-Null: -1460.3
Df Residuals: 9996 LLR p-value: 3.2575e-292
Converged: 1.0000 Scale: 1.0000
No. Iterations: 10.0000
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Coef.Std.Err.zP>|z|[0.0250.975]
Intercept-10.8690450.492273-22.0793204.995499e-108-11.833882-9.904209
student[T.Yes]-0.6467760.236257-2.7375956.189022e-03-1.109831-0.183721
balance0.0057370.00023224.7365064.331521e-1350.0052820.006191
income0.0000030.0000080.3698087.115254e-01-0.0000130.000019
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Coef. Std.Err. z P>|z| [0.025 0.975]
const -10.8690 0.4923 -22.0793 0.0000 -11.8339 -9.9042
balance 0.0057 0.0002 24.7365 0.0000 0.0053 0.0062
income 0.0000 0.0000 0.3698 0.7115 -0.0000 0.0000
student2 -0.6468 0.2363 -2.7376 0.0062 -1.1098 -0.1837
" + "" ], "text/plain": [ - "\n", - "\"\"\"\n", - " Results: Logit\n", - "==================================================================\n", - "Model: Logit Pseudo R-squared: 0.462 \n", - "Dependent Variable: default2 AIC: 1579.5448 \n", - "Date: 2018-06-23 13:11 BIC: 1608.3862 \n", - "No. Observations: 10000 Log-Likelihood: -785.77 \n", - "Df Model: 3 LL-Null: -1460.3 \n", - "Df Residuals: 9996 LLR p-value: 3.2575e-292\n", - "Converged: 1.0000 Scale: 1.0000 \n", - "No. Iterations: 10.0000 \n", - "-------------------------------------------------------------------\n", - " Coef. Std.Err. z P>|z| [0.025 0.975]\n", - "-------------------------------------------------------------------\n", - "const -10.8690 0.4923 -22.0793 0.0000 -11.8339 -9.9042\n", - "balance 0.0057 0.0002 24.7365 0.0000 0.0053 0.0062\n", - "income 0.0000 0.0000 0.3698 0.7115 -0.0000 0.0000\n", - "student2 -0.6468 0.2363 -2.7376 0.0062 -1.1098 -0.1837\n", - "==================================================================\n", + " Coef. Std.Err. z P>|z| [0.025 \\\n", + "Intercept -10.869045 0.492273 -22.079320 4.995499e-108 -11.833882 \n", + "student[T.Yes] -0.646776 0.236257 -2.737595 6.189022e-03 -1.109831 \n", + "balance 0.005737 0.000232 24.736506 4.331521e-135 0.005282 \n", + "income 0.000003 0.000008 0.369808 7.115254e-01 -0.000013 \n", "\n", - "\"\"\"" + " 0.975] \n", + "Intercept -9.904209 \n", + "student[T.Yes] -0.183721 \n", + "balance 0.006191 \n", + "income 0.000019 " ] }, - "execution_count": 7, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "X_train = sm.add_constant(df_default[['balance', 'income', 'student2']])\n", - "est = smf.Logit(y, X_train).fit()\n", - "est.summary2()" + "est = smf.logit(\"is_default ~ balance + income + student\", data=df_default).fit()\n", + "est.summary2().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n", + "\n", + "sns.regplot(\n", + " data=df_default[df_default.is_student == 1], x=\"balance\", y=\"is_default\",\n", + " logistic=True, ci=None, scatter=False, color=\"orange\", label=\"Student\",\n", + " ax=ax1\n", + ")\n", + "sns.regplot(\n", + " data=df_default[df_default.is_student == 0], x=\"balance\", y=\"is_default\",\n", + " logistic=True, ci=None, scatter=False, label=\"Not Student\",\n", + " ax=ax1\n", + ")\n", + "ax1.axhline(\n", + " y=df_default[df_default.is_student == 1][\"is_default\"].mean(), \n", + " linestyle=\"--\", color=\"orange\", markersize=0\n", + ")\n", + "ax1.axhline(\n", + " y=df_default[df_default.is_student == 0][\"is_default\"].mean(), \n", + " linestyle=\"--\", color=\"blue\", markersize=0\n", + ")\n", + "ax1.legend()\n", + "ax1.set_ylabel(\"Default Rate\")\n", + "\n", + "sns.boxplot(data=df_default, x=\"student\", y=\"balance\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.4 Generative Models for Classification" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.4.1 Linear Discriminant Analysis for p = 1" ] }, { @@ -2131,9 +2153,7 @@ { "cell_type": "code", "execution_count": 34, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2272,7 +2292,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -2286,7 +2306,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.9.7" }, "widgets": { "application/vnd.jupyter.widget-state+json": { @@ -2661,5 +2681,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/classification.py b/classification.py index 44ae17a..247fcfb 100644 --- a/classification.py +++ b/classification.py @@ -1,5 +1,5 @@ import numpy as np -import scikitplot as skplt +# import scikitplot as skplt import sklearn.linear_model as skl_lm from sklearn.metrics import confusion_matrix, classification_report, precision_score, roc_curve, auc, log_loss import pandas as pd From 6836f2dff6526cbeb49780984fdd205c3f064001 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sun, 19 Sep 2021 01:44:00 +0200 Subject: [PATCH 21/32] lda --- 04_Classification.ipynb | 126 +++++++++++++++++++++++++++++++++++----- 1 file changed, 112 insertions(+), 14 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index fd43bf1..22264ca 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -68,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -139,7 +139,7 @@ "2 No No 1073.549164 31767.138947 0 0" ] }, - "execution_count": 58, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -157,12 +157,12 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -202,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -211,7 +211,7 @@ "Text(0, 0.5, 'Probability of Default')" ] }, - "execution_count": 61, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, @@ -247,7 +247,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -317,7 +317,7 @@ "balance 0.005499 0.000220 24.952404 2.010855e-137 0.005067 0.005931" ] }, - "execution_count": 74, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -329,7 +329,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -399,7 +399,7 @@ "student[T.Yes] 0.404887 0.115019 3.520177 0.000431 0.179454 0.630320" ] }, - "execution_count": 75, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -418,7 +418,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -514,7 +514,7 @@ "income 0.000019 " ] }, - "execution_count": 76, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -526,7 +526,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -581,6 +581,104 @@ "### 4.4.1 Linear Discriminant Analysis for p = 1" ] }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "d1 = stats.norm(loc=-1.25, scale=1)\n", + "d2 = stats.norm(loc=1.25, scale=1)\n", + "xs = np.linspace(-5, 5, 1000)\n", + "\n", + "d1_samples = d1.rvs(20)\n", + "d2_samples = d2.rvs(20)\n", + "mu_bayes = 0\n", + "mu_lda = (d1_samples.mean() + d2_samples.mean())/2" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n", + "sns.lineplot(x=xs, y=d1.pdf(xs), color=\"green\", ax=ax1)\n", + "sns.lineplot(x=xs, y=d2.pdf(xs), color=\"pink\", ax=ax1)\n", + "ax1.axvline(x=mu_bayes, linestyle=\"--\", color=\"black\")\n", + "ax1.set_yticklabels([]);\n", + "\n", + "sns.histplot(x=d1_samples, color=\"green\", ax=ax2)\n", + "sns.histplot(x=d2_samples, color=\"pink\", ax=ax2)\n", + "ax2.axvline(x=mu_bayes, linestyle=\"--\", color=\"black\")\n", + "ax2.axvline(x=mu_lda, linestyle=\"-\", color=\"black\")\n", + "ax2.set_xlim(-3.5, 4);" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The Bayes error rate is 10.42%, the LDA error rate is 10.46%\n" + ] + } + ], + "source": [ + "d1_samples = d1.rvs(10000)\n", + "d2_samples = d2.rvs(10000)\n", + "mu_bayes = 0\n", + "mu_lda = (d1_samples.mean() + d2_samples.mean())/2\n", + "\n", + "bayes_error_rate = (len(d1_samples[d1_samples > mu_bayes]) + len(d2_samples[d2_samples < mu_bayes]))/(len(d1_samples)+len(d2_samples))*100\n", + "lda_error_rate = (len(d1_samples[d1_samples > mu_lda]) + len(d2_samples[d2_samples < mu_lda]))/(len(d1_samples)+len(d2_samples))*100\n", + "print(f\"The Bayes error rate is {bayes_error_rate:.2f}%, the LDA error rate is {lda_error_rate:.2f}%\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.4.2 Linear Discriminant Analysis for p >1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, From 042e6ac9d524e60a53fb502f5597019bedb4ec75 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sun, 19 Sep 2021 15:06:21 +0200 Subject: [PATCH 22/32] 3d surface plot of a multvariate gaussian --- 04_Classification.ipynb | 170 ++++++++++++++++++++++++---------------- requirements.txt | 1 + 2 files changed, 103 insertions(+), 68 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 22264ca..7a1e655 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -7,28 +7,6 @@ "# Chapter 4 - Classification" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[4.1 An Overview of Classification](#4.1-An-Overview-of-Classification)\n", - "\n", - "[4.3 Logistic regression](#4.3-Logistic-regression)\n", - "\n", - "[4.4 Linear Discriminant Analysis](#4.4-Linear-Discriminant-Analysis)\n", - "> [4.4.4 Quadratic Discriminant Analysis](#4.4.4-Quadratic-Discriminant-Analysis)\n", - "\n", - "[4.5 A Comparison of Classification Methods](#4.5-A-Comparison-of-Classification-Methods)\n", - "\n", - "[4.6 Lab: Logistic Regression, LDA, QDA, and KNN](#4.6-Lab:-Logistic-Regression,-LDA,-QDA,-and-KNN)\n", - "> [4.6.1 The Stock Market Data](#4.6.1-The-Stock-Market-Data)
\n", - "> [4.6.2 Logistic regression](#4.6.2-Logistic-regression)
\n", - "> [4.6.3 Linear Discriminant Analysis (LDA)](#4.6.3-Linear-Discriminant-Analysis-%28LDA%29)
\n", - "> [4.6.4 Quadratic Discriminant Analysis (QDA)](#4.6.4-Quadratic-Discriminant-Analysis-%28QDA%29)
\n", - "> [4.6.5 K-Nearest Neighbors](#4.6.5-K-Nearest-Neighbors)
\n", - "> [4.6.6 An Application to Caravan Insurance Data](#4.6.6-An-Application-to-Caravan-Insurance-Data)" - ] - }, { "cell_type": "code", "execution_count": 1, @@ -55,10 +33,18 @@ "\n", "from classification import print_classification_statistics, plot_ROC, print_OLS_error_table, plot_classification\n", "\n", - "%matplotlib inline\n", "plt.style.use('seaborn-white')" ] }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -68,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -139,7 +125,7 @@ "2 No No 1073.549164 31767.138947 0 0" ] }, - "execution_count": 2, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -157,22 +143,24 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 67, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "fig = plt.figure(figsize=(12,5))\n", + "fig = plt.figure(figsize=(12, 7))\n", "gs = mpl.gridspec.GridSpec(1, 4)\n", "ax1 = plt.subplot(gs[0,:-2])\n", "ax2 = plt.subplot(gs[0,-2])\n", @@ -202,32 +190,24 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 68, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "Text(0, 0.5, 'Probability of Default')" + "
" ] }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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SpItG2DU6IcrkiPwDBR0AAACA05b5TaF2FFdJcu07h+5BQQcAAADgtDichpatdc2dmzbSrpQB9M51Fwo6AAAAAKdlTc5+7TrQ0jvH3LnuREEHAAAA4JQ5nYYe+3CXJOniUfEa2T/S5Ij8CwUdAAAAgFO2dvsB99y5WyYPMzka/0NBBwAAAOCUGIahv3/k6p1LPyOWuXMmoKADAAAAcErW7ynRpvwySdJNFw41Nxg/RUEHAAAA4JT8/aPdkqTUJJvOGhxjcjT+iYIOAAAAwEnbsq9cWTsOSpJ+nj5UFovF5Ij8U6cFXUFBwQkdAwDA35AjAfizxz929c6daY/Q5OFxJkfjvzot6G699dY2xxYuXOiRYAAA8CXkSAD+KvdQtd7+plCS9PMLhyoggN45s1g7OrF7927t2rVLlZWVeu+999zHq6qqVF9f3y3BAQDgjciRAPzdis/2yGlIA6J76bIx/cwOx691WNDt2bNHH330kSorK/Xhhx+6j4eHh+uPf/xjtwQHAIA3IkcC8GflNY1alb1XknTjeYNkDWRZDjN1WNBddNFFuuiii7Rp0yaNHz++O2MCAMCrkSMB+LMXv8pXTYNDvUOsunpiotnh+L0OC7o//vGP7pVqMjMz25y/++67PRcVAABejBwJwF81Opx65rNcSdLVExMVERpkbkDouKBLSUnpzjgAAPAZ5EgA/uqtbwpVVFGnAIt0ww8GmR0OdJyC7qqrrurOOAAA8BnkSAD+yDAMPf3pHknSxSnxSowJMzkiSMcp6FrMmzev3U0Cn332WY8EBACAryBHAvAnX+WWKmdvuSTpp+cPMTkatOi0oLvjjjvc39fX1+u9995TYGCgR4MCAMAXkCMB+JOnP/1ekjR+YLRSk2wmR4MWnRZ0x84TSE1N1ezZsz0WEAAAvoIcCcBf7Cur1fvfFkuSbjxvsMnR4GidFnRlZWXu751Op7Zu3arKykpPxgQAgE8gRwLwF8//J09OQ4qLCNHFo+LNDgdH6bSgmzlzpiwWiwzDkNVqVUJCgpYsWdIdsQEA4NXIkQD8QV2jQ//6qkCSdN3ZAxVsZSNxb9JpQbdu3bruiAMAAJ9DjgTgD9bkFKqkukFBgRZdd/ZAs8PBMTot6CRpx44d2rVrlxoaGtzHrrzySk/FBACAzyBHAujJDMPQPz/PlSRdktJPcRGh5gaENjot6B599FGtX79eu3fvVnp6urKyspSamkqyAgD4PXIkgJ5uc0GZvtnn2qrgJz9IMjkatKfTAbDvvvuu/vnPf6pv377605/+pNdff/2EJ3xnZWVp+vTpmjp1qp566ql227z11lu69NJLlZGRodtuu+3kogcAwESnkyMBwBc8+0WeJGlU/0hNGMhWBd6o0x66kJAQBQQEyGq1qqqqSn369FFhYWGnF3Y4HFq8eLFWrFghu92u2bNna/LkyRo2bJi7TW5urp566im9+OKLioqK0uHDh0/v0QAA0I1ONUcCgC84VFWvzBzXe9pPzh0ki8VickRozwntQ1dRUaE5c+Zo5syZCgsL0/jx4zu9cE5OjpKSkpSYmChJysjI0Nq1a1sVdC+//LKuv/56RUVFSZL69Olzqo8DAIBud6o5EgB8wcsbCtTgcCqqV5AuH9ff7HDQgQ4LuuzsbKWmpuo3v/mNgoODde211+qCCy5QVVWVhg8f3umFi4uLFR9/ZI8Ku92unJycVm1yc3MlSddcc42cTqduueUWTZo06RQfCgAA3eN0cyQAeDun09AL6/MlSXNSExQaFGhyROhIh3PoWvbRufrqq93HEhISujRRORwO5eXlaeXKlVq6dKnuueceVVRUdNn1AQDwhO7IkQBgpqydB7W3tFaSdC1bFXi1DnvorFar7rnnHhUVFenee+9tc/7uu+8+7oXtdruKiorct4uLi2W329u0GTt2rIKCgpSYmKhBgwYpNzdXY8aMOdnHAQBAtzndHAkA3u755t65Hwzto6GxvU2OBsfTYUH3xBNP6IsvvtCnn36qUaNGnfSFR48erdzcXBUUFMhutyszM1NLly5t1eaiiy5SZmamZs2apZKSEuXm5rrn3AEA4K1ON0cCgDcrLK/V2m3FkqTrz2arAm/XYUEXExOjjIwMDR069JSGkFitVi1atEjz58+Xw+HQrFmzlJycrGXLliklJUVTpkzRBRdcoM8++0yXXnqpAgMDdfvtt8tmYzlUAIB3O90cmZWVpSVLlsjpdGrOnDlasGBBmzZvvfWWHn30UVksFg0fPrzNh6IA4Cn/+rJATkPq2ztEU0faO78DTHVC2xb85Cc/0eHDh7VmzRpt375d69at00033dTpxdPT05Went7q2MKFC93fWywW3XXXXbrrrrtOIXQAAMx1KjmSbX0AeLMmh1P/+so13PLqiQkKtna6bTVM1ulv6J577tFtt90mq9VV+w0fPlxvvfWWxwMDAMDbnUqOPHpbn+DgYPe2PkdjWx8AZvlg2wEVV9TLYpGumchiKL6g04Kutra2zSIlgYEsWwoAwKnkyPa29SkuLm7VJjc3V3v27NE111yjuXPnKisrq+uCBoDjeOFLV+/chWfEKjEmzORocCI6HXJps9mUn5/v3hn+nXfeUWxsrMcDAwDA23kqRx69rU9RUZF+9KMf6c0331RkZORpXxsAOlJQUqNPdh6UJF17Fr1zvqLTgu53v/ud7rnnHn3//fe64IILlJCQoAcffLA7YgMAwKudSo5kWx8A3mrVhgIZhhQXEaLJw+PMDgcnqNOCLjExUc8884xqamrkdDrVuzf7UAAAIJ1ajmRbHwDeqMnh1Msb9kqS5qQlyBrIYii+4rgF3ffff6+XX35Z33//vSRp6NChmjt3rgYPHtwtwQEA4K1ONUeyrQ8Ab/TxjoMqqqiTJF2dxnBLX9JhQbdp0yb94he/0NVXX625c+dKkr799lvNmzdPjz76qMaNG9ddMQIA4FVON0eyrQ8Ab/PilwWSpPOH9dXAPiyG4ks6LOgee+wxLV26VGeffbb72EUXXaRzzjlHjz76qJYvX94tAQIA4G3IkQB6kuKKOn343QFJ0jVnMbzb13Q4OLagoKBVompx1llnqaCgwKNBAQDgzciRAHqSVRsK5HAaigkP1tSR9s7vAK/SYUEXHh7e4Z3CwuiGBQD4L3IkgJ7C6TT00gbXB1GzJgxQiJX9pn1Nh0MuCwsLde+997Y5bhhGmw1QAQDwJ+RIAD3F57sPq6CkVpJ09UQWQ/FFHRZ0t99+e4d3SklJ8UgwAAD4AnIkgJ6ipXdu4iCbhsWxPZkv6rCgu+qqq7ozDgAAfAY5EkBPUFbToHe3FkmS5qaxGIqvYsdAAAAAwA+9tmmfGpqc6h1iVcaYfmaHg1NEQQcAAAD4GcMw9NKGvZKkGWP7KSy4w4F78HIdFnR/+ctfJElvv/12twUDAIAvIEcC8HVb9lVoW2GFJIZb+roOC7qsrCwZhqGnnnqqO+MBAMDrkSMB+LqXNuRLks6w99a4xGhzg8Fp6bBv9fzzz9fEiRNVU1OjCRMmyDAMWSwW99eNGzd2Z5wAAHgNciQAX1bb4NDrm/ZLcm1VYLFYTI4Ip6PDgu6OO+7QHXfcoZ///Od6/PHHuzMmAAC8GjkSgC97e0uhKuubFBRo0VXjB5gdDk5Tp7MfH3/8cR06dEjffPONJGns2LGKiYnxeGAAAHg7ciQAX/Ry895z00bGKyY82ORocLo6XeXy7bff1pw5c/TOO+/o7bff1uzZs/XOO+90R2wAAHg1ciQAX5N3uFr/+b5EkjR3Iouh9AQn1EO3evVq9enTR5JUUlKiG264QRdffLHHgwMAwJuRIwH4mlXNWxX0iwrV+cP6mhwNukKnPXSGYbgTlSRFR0fLMAyPBgUAgC8gRwLwJQ6nodXZroJudmqCAgNYDKUn6LSH7vzzz9dPf/pTZWRkSJLeeustTZo0yeOBAQDg7ciRAHxJ1s6DKqqokyTNSWW4ZU/RaUF3xx136L333lN2drYk6eqrr9bUqVM9HhgAAN6OHAnAl6xqXgzl3CF9NLBPmMnRoKt0WtBJ0rRp0zRt2jRPxwIAgM8hRwLwBSXVDXr/22JJ0tyJCSZHg67U6Rw6AAAAAL7t1U371OgwFBFi1cWj+pkdDroQBR0AAADQgxmG4R5uefm4/uoVHGhyROhKnRZ069atk9Pp7I5YAADwKeRIAL4gZ2+5thdVSpLmprEYSk/TaUH31ltvadq0afrzn/+s3bt3d0dMAAD4BHIkAF/wcnPv3Jn2CI1JiDI5GnS1ThdFefDBB1VVVaU1a9borrvuksVi0cyZM5WRkaHevXt3R4wAAHglciQAb1fb4NAbm/dLkuZOTJTFwt5zPc0JzaHr3bu3pk+frksvvVQHDx7U+++/r5kzZ2rlypWejg8AAK9GjgTgzd7ZWqjK+iYFBVp01fgBZocDD+i0h+6DDz7Qq6++qvz8fF1xxRVatWqV+vTpo9raWmVkZGjevHndEScAAF6HHAnA2730lWu45dSRdsWEB5scDTyh04Lu/fff1w033KCJEye2Ot6rVy8tWbLEY4EBAODtyJEAvFne4Wr95/sSSdIcFkPpsTodctm3b982ieovf/mLJOncc8/1TFQAAPgAciQAb7Zqw15JUr+oUE1KjjU5GnhKpwXd559/3uZYVlaWR4IBAMCXkCMBeCuH09DqbFdBNzs1QYEBLIbSU3U45PKFF17Qiy++qPz8fM2YMcN9vLq6WhMmTOiW4AAA8EbkSADeLmvnQRVV1EmS5qQy3LIn67CgmzFjhiZNmqS//vWvuu2229zHw8PDFR0dfUIXz8rK0pIlS+R0OjVnzhwtWLCg3Xbvvvuubr31Vq1evVqjR48+uUcAAEA364ocCQCe9HLzYijnDumjgX3CTI4GntRhQWexWJSQkKBFixa1OVdWVtZpwnI4HFq8eLFWrFghu92u2bNna/LkyRo2bFirdlVVVXr22Wc1duzYU3sEAAB0s9PNkQDgSYeq6vXBtmJJ0tyJCSZHA0/rsKC77bbb9OSTT2rmzJmyWCwyDMN9zmKxaO3atce9cE5OjpKSkpSY6OrizcjI0Nq1a9sUdMuWLdPPfvYzPf3006fzOAAA6DanmyMBwJNe3bhPjQ5DkaFWXZLSz+xw4GEdFnRPPvmkJGndunWndOHi4mLFx8e7b9vtduXk5LRqs3XrVhUVFenCCy+koAMA+IzTzZEA4CmGYehfX+VLkq4aP0ChQYEmRwRP67Cg27p163HvOGrUqNP6wU6nU/fff7/+9Kc/ndZ1AADobp7OkQBwqrLzSrX7YLUk6eqJA02OBt2hw4Lu/vvv7/BOFotFzz777HEvbLfbVVRU5L5dXFwsu93uvl1dXa0dO3boxz/+sSTp4MGD+vnPf67HH3+chVEAAF7tdHMkAHjKS82LoYxJiNLI/pEmR4Pu0GFBt3LlytO68OjRo5Wbm6uCggLZ7XZlZmZq6dKl7vMRERFav369+/a8efN0++23U8wBALze6eZIAPCEyrpGrckplCTNTWOrAn/RYUH3xRdf6Nxzz9V7773X7vlp06Yd/8JWqxYtWqT58+fL4XBo1qxZSk5O1rJly5SSkqIpU6acXuQAAJjkdHMkAHjCm18XqrbRodCgAF0+rr/Z4aCbdFjQffXVVzr33HP14Ycftnv+RJJVenq60tPTWx1buHBhu235tBMA4Cu6IkcCQFd7qXkxlIzR/RUZGmRyNOguHRZ0t956qySxaAkAAMcgRwLwNtsKK/T13nJJ0jVnMdzSn3RY0LUoLS3VY489puzsbFksFk2YMEE333yzbDZbd8QHAIDXIkcC8BYvrHf1zg2NDVdaEu9B/iSgswa/+tWvZLPZ9Mgjj2jZsmWKiYnR//7v/3ZHbAAAeLVTzZFZWVmaPn26pk6dqqeeeqrDdu+++67OPPNMffPNN10ZNoAepqahSa9t2idJuvasgbJYLCZHhO7UaUF38OBB3XzzzUpMTFRiYqJuuukmHT58uDtiAwDAq51KjnQ4HFq8eLGWL1+uzMxMrVmzRrt27WrTrqqqSs8++6zGjh3rqfAB9BBrcgpVWd+kYGuAZk1IMDscdLNOC7rzzjtPmZmZcjqdcjqdeuutt3T++ed3R2wAAHi1U8mROTk5SkpKUmJiooKDg5WRkaG1a9e2abds2TL97Gc/U0hIiKfCB9BDtAy3vDQlXrbwYJOjQXfrcA7d+PHjZbFYZBiG/vnPf+rXv/61JMnpdCosLEx33HFHtwUJAIA3OZ0cWVxcrPj4ePdtu92unJycVm22bt2qoqIiXXjhhXr66ac98yAA9Ajf7q/Q5oIySa7hlvA/HRZ0mzZt6s44AADwGZ7MkU6nU/fffz8raAI4IS9+6eqdGxIbrrMGx5gcDczQ6SqXklReXq68vDzV19e7j02cONFjQQEA4CtONkfa7XYVFRW5bxcXF8tut7tvV1dXa8eOHfrxj38syTVP7+c//7kef/xxjR492gOPAICvOnoxlOtYDMVvdVrQrVq1Ss8++6yKioo0fPhwff311xo3bpyeffbZ7ogPAACvdSo5cvTo0crNzVVBQYHsdrsyMzO1dOlS9/mIiAitX7/efXvevHm6/fbbKeYAtLHm6+bFUAJZDMWfdbooyrPPPqvVq1erf//+WrlypV599VVFRkZ2R2wAAHi1U8mRVqtVixYt0vz583XppZfqkksuUXJyspYtW9bu4igA0JHn1+dJki5mMRS/1mkPXXBwsHuFrYaGBg0dOlR79uzxeGAAAHi7U82R6enpSk9Pb3Vs4cKF7bZduXLl6QcKoMfJ2Vumr/eWS5LmnZtkcjQwU6cFXXx8vCoqKnTRRRfpxhtvVGRkpPr3798dsQEA4NXIkQDM8tx/XL1zw+MjlJZkMzkamKnTgu6xxx6TJP3iF7/Q2WefrcrKSl1wwQUeDwwAAG9HjgRghvKaRr2+eb8k6UfnJLEYip87oVUut27dquzsbFksFk2YMEHBwYzRBQBAIkcC6H6rsgtU3+RUeHCgrhw/wOxwYLJOF0V59NFHdeedd6qsrEylpaW666679Pe//707YgMAwKuRIwF0N6fT0PPrXXvPzZyQoN4hJ9Q/gx6s01fAm2++qTfeeMM96XvBggW64oordNNNN3k8OAAAvBk5EkB3+3z3Ye05VC3JNdwS6LSHLi4urtVmqQ0NDa02QAUAwF+RIwF0t5X/yZUknTU4RmfGR5gbDLxChz10f/zjH2WxWBQREaGMjAydd955slgs+uyzzzRmzJjujBEAAK9CjgRghv1ltXr/22JJ0jx659Csw4IuJSVFkjRq1ChNnTrVffyss87yfFQAAHgxciQAMzz7RZ6chhQbEaLpo+LNDgdeosOC7qqrrnJ/39DQoNzcXEnS4MGDFRQU5PHAAADwVuRIAN2ttsGhF790LYYy75wkBVs7nTkFP9Hpoijr16/XnXfeqQEDBsgwDBUWFuqBBx7QxIkTuyM+AAC8FjkSQHd5bfM+ldc2KjgwQNeeNdDscOBFOi3oHnjgAT399NMaMmSIJGnPnj267bbb9O9//9vjwQEA4M3IkQC6g2EYWvHZHknSjLH9FRsRYnJE8Cad9tU2Nja6E5XkGk7S2Njo0aAAAPAF5EgA3eHz3Ye1o7hKknTjeYPMDQZep9MeupSUFP32t7/V5ZdfLsm1507LZHAAgH8zDEN7DlXru6JKjR9oU3xUqNkhdStyJIDu0NI7N3GQTSkDokyOBt6m04LuD3/4g55//nmtXLlSkpSWlqbrrrvO44EBALxPXaND3+wrV3ZeqTbklmpjfqlKqhskSecP66vn5p9tcoTdixwJwNPyDldr7fYDkqQbzxtscjTwRsct6BwOhy6//HK98847uvHGG7srJgCAlzhYWa/svBJXAZdXqi37ytXoMNq0i+oVpEtH9zMhQvOQIwF0hxWf5cowpAHRvTRtpN3scOCFjlvQBQYGavDgwdq/f7/69+/fXTEBAEzgdBraeaBKG/JKlJ1bquz8UuUdrmm37ZC+4ZqQZFNakk1pg2wa0re3AgIs3RyxuciRADytvKZRL28okCTNOzdJ1kC2KkBbnQ65rKioUEZGhsaMGaNevXq5jz/xxBMeDQwA4Fk1DU3anF/m7n3bmF+qyrqmNu2CrQEaMyBKqYNsSh1oU2qSTX16s8KaRI4E4FnPrc9TTYNDvUOsuu5stipA+zot6BYuXNgdcQAAPKywvFYbckuVnef6921hhRzOtsMn+/YO1oSBrp631CTXBPwQa6AJEXs/ciQAT6lvcmjFZ7mSpGvPSlRkaJC5AcFrdVjQ1dfX68UXX1R+fr7OOOMMzZ49W1Zrp/UfAMALNDmc2l5UeaT3La9U+8pq27SzWKQz4iJa9b4l9QmTxeJfwydPFjkSgKe9tmmfDlXVyxpgYTEUHFeH2eeOO+6Q1WpVWlqasrKytGvXLt19993dGRsA4ARV1DVqU36ZsnNLlJ1fqs35ZapucLRp1ysoUOMSo929b+MH2hTVi099TxY5EoAnOZ2Gnsr6XpJ0+dj+6h/dq5N7wJ91WNDt3r1bb775piRp9uzZmjNnTrcFBQDomGEYKiip1Ya8Enfv23fFlTLajp5Uv6hQpSa5ire0pBiN6BfBpPouQI4E4Enrth/Q7oPVkqSfTRpicjTwdh0WdEcPHWEYCQCYp6HJqS37y7Wxee+37PxSHaysb9MuwCKN6BeptCSbUgfFKDXJpgF8qusR5EgAntTSOzfpjFiN6BdpcjTwdh1moe3bt2vChAmSXJ8G19fXa8KECTIMQxaLRRs3buy2IAHAn5RWN7Sa+/b13jLVNznbtIsIsWrcwGilJcUobZBN4xKjFR5CcdEdyJEAPCU7r1Rf5pZIkv6b3jmcgA4z/7Zt27ozDgDwS4Zh6PtD1crOLXUPofy+eZjNsQbGhGnCwGilDopRWpJNZ9gjFOhne795C3IkAE/527qdkqQxCVH6wdA+JkcDX8BHuQDQjeoaHcrZW968dUCJsvNKVVrT2KZdUKBFKQOi3CtPpibZFBcZakLEAIDukrO3TB99d1CS9IvJyaw4jBNCQQcAHnSgsq65982199vW/eVqdLRdvcQWFqTUJJsmNC9eMiYhSqFB7P0GAP7k0XW7JEnD4yN00Yg4k6OBr/BoQZeVlaUlS5bI6XRqzpw5WrBgQavzK1as0KpVqxQYGKiYmBjdd999GjBggCdDAgCPcTgN7SiudG/cvSGvRAUlbfd+k6QhseFKay7eJiTZNDQ2nE9iAcCPbSus0HvfFkuidw4nx2MFncPh0OLFi7VixQrZ7XbNnj1bkydP1rBhw9xtRowYoVdeeUW9evXSCy+8oL/85S96+OGHPRUSAHSp6vombS4oc688uSmvVJX1TW3ahVgDNDYhurn3zdULFxMebELEAABv9diHrt65YXG9dUlKvMnRwJd4rKDLyclRUlKSEhMTJUkZGRlau3Ztq4LunHPOcX8/btw4vfHGG54KBwBO276yWlfvW65r8ZJthRVytrP3W9/eIa6tA5JsSh1kU0r/KAVb2fsNANC+XQeqlPlNoSTp5h8OVQALXuEkeKygKy4uVnz8kU8X7Ha7cnJyOmy/evVqTZo0yVPhAMBJaXI4ta2wUhuaFy7JzitVYXldm3YWi3SmPcK9cElqkk0DY8IYKgMAOGGPrtspw5CS+oRpxpj+ZocDH+MVi6K8/vrr2rJli5577jmzQwHgp8prG7Uxv9S9effmgjLVNjratAsLDtS4xGj35t3jB0YrMjTIhIgBAD3B9qIKvf71fknSzT8cJmsgIzpwcjxW0NntdhUVFblvFxcXy263t2n3+eef64knntBzzz2n4GDmlADwPMMwlHe4xr15d3ZeiXYeqJLRzvDJ/lGh7n3fUpNsGh4fQbIFAHSZpe/tkGFIQ2PDNXM8iwPi5HmsoBs9erRyc3NVUFAgu92uzMxMLV26tFWbb7/9VosWLdLy5cvVpw8bJwLwjPomh7bsq3Dv+5adV6pDVQ1t2gUGWDSyX2Sr4ZP9o3uZEDEAwB9syi/V+80rW9427Uw+MMQp8VhBZ7VatWjRIs2fP18Oh0OzZs1ScnKyli1bppSUFE2ZMkV//vOfVVNTo4ULF0qS+vXrpyeeeMJTIQHwE4er6rUxv8w1/y23VDn7ytXQ5GzTLiLUqgkDbe7et7GJ0QoP8YqR6AAAP/Dge99JklIGROriUaxsiVPj0f+5pKenKz09vdWxluJNkp555hlP/ngAfsDpNPT9oSrX1gHNvW/fH6put+3AmLDmuW+u/d+S43qzkhgAwBSf7Tqkz3YdluTqnSMf4VTxUTQAn1Lb4NDXe8vcxdvG/FKV1TS2aRccGKCUAS3DJ2M0ISlacRGhJkQMAEBrhmHoL++6eucmDrLpwjNiTY4IvoyCDoBXK66oO6r3rURb91eoqZ3N32LCgzVhoGvoZNogm0YPiFJoUKAJEQMAcHxvfVOkzQVlkqT/m3YmW93gtFDQAfAaDqeh74oq3YuXbMgr1d7S2nbbDovrrdSBLcMnbRrcN5yECADwenWNDv3p7W2SpItGxOnsISwMiNNDQQfANFX1TdrcsnhJXqk25Zepqr6pTbsQa4DGtuz9lmTThIE22cLZ5gQA4HtWfJarvaW1sgZY9JtLR5gdDnoACjoA3cIwDO0rq3XPfduQW6rtRRVqZ/SkYiNC3MVb2qAYjewXqWArSzkDAHzbwcp6PfbhLknSvHOTNCS2t8kRoSegoAPgEY0Op7YVVrRafbKooq5NO4tFGh4fqdSkaFcBlxSjBFsvhk+iR8vKytKSJUvkdDo1Z84cLViwoNX5FStWaNWqVQoMDFRMTIzuu+8+DRjAhsOAr/vr+ztUVd+kqF5BWjgl2exw0ENQ0AHoEmU1DdqYf6T37eu9ZaprbLv3W3hwoMYPPLJx9/iB0YoIDTIhYsAcDodDixcv1ooVK2S32zV79mxNnjxZw4YNc7cZMWKEXnnlFfXq1UsvvPCC/vKXv+jhhx82L2gAp217UYVe+ipfkvTLi5IVHcbUAXQNCjoAJ80wDOUertGG3BJtzHcVcDsPVLXbdkB0L/fKk6lJNg2Pj1Qge+3Aj+Xk5CgpKUmJiYmSpIyMDK1du7ZVQXfOOee4vx83bpzeeOONbo8TQNcxDEO/e32rnIY0JDZcPzonyeyQ0INQ0AHoVF2jQ1v3l2tDrmvlyY15pTpc3dCmXWCARaP6R2rCQFcBl5YUo/go9n4DjlZcXKz4+Hj3bbvdrpycnA7br169WpMmTeqO0AB4yCsb92n9nhJJ0qLLRiookHnh6DoUdADaOFRV79q0u3nrgG/2lqvB0Xb4ZGSoVROSbM0LmMRobGKUwoJ5WwG6yuuvv64tW7boueeeMzsUAKeotLpB973l2qYgY0w/XXhmnMkRoafhf16An3M6De0+WKUNzXPfsvNKlHu4pt22g/qEKTUpxj2EclhsbwUwfBI4KXa7XUVFRe7bxcXFstvtbdp9/vnneuKJJ/Tcc88pOJi5NoCveuCd7SqpblBEiFWLLhtpdjjogSjoAD9T09CkrwvK3Zt3b8wvU3ltY5t2wYEBGp0QpbQkmyY07/0WGxFiQsRAzzJ69Gjl5uaqoKBAdrtdmZmZWrp0aas23377rRYtWqTly5erTx82HQZ81YbcEv3rqwJJ0v9NP1P2SKYhoOtR0AE9XFF5nTbklWhDbqk25pdq6/4KOdrZ/K1PeLB7+GTaIJtSBkQpxBpoQsRAz2a1WrVo0SLNnz9fDodDs2bNUnJyspYtW6aUlBRNmTJFf/7zn1VTU6OFCxdKkvr166cnnnjC5MgBnIyGJqd+++oWSdLoAVEshAKPoaADepAmh1PbiyrdK09m55VqX1ltu22T43orbZCteQGTGA3qE8beb0A3SU9PV3p6eqtjLcWbJD3zzDPdHBGArva3dTv1XXGlAizSfVeNZoVneAwFHeDDKusatSm/zL3y5Kb8UlU3ONq0Cw0K0LjEIxt3TxhoU1QYe78BAOAJXxeU6e8f7ZYkLZg0VKMTokyOCD0ZBR3gIwzD0N7SWtfG3Xklys4r03dFFWpn9KTskSGuwq15COXI/pEskQwAQDeoa3TotlVfy+E0dIa9t/53arLZIaGHo6ADvFSjw6mt+yuUnVfqXsCkuKK+TbsAizQ8PtK9cXdqkk0DonsxfBIAABMsfe877TpQJWuARX+dO4756PA4CjrAS5TVNDQXb66933L2lqmuse3eb71DrBo/8MjwyXEDo9U7hD9lAADM9uWeEi3/dI8k6ZbJw5QygKGW8Dz+FwiYwDAMfX+o2lXA5bqGUO4+WN1u2wRbL9fG3YNilDrQpjPjI5hYDQCAlympbtDCf22SYUgpAyJ18w+HmR0S/AQFHdAN6hod+mZfuXvlyY35pSqpbmjTzhpg0aj+kUpNinEPoWTPGgAAvJvTaei2lzersLxOYcGBevjq8cxdR7ehoAM84GBlfau5b1v2VajB0Xb4ZFSvIE0YGK20QTFKTbJpbEK0egUz1h4AAF/y1Cff68PvDkpybVEwLK63yRHBn1DQAafJ6TS080DVUatPlirvcE27bYf0DVdqks29+uTQ2N4KYPgkAAA+a0Nuif7y7neSpGsmJurK8QNMjgj+hoIOOEk1DU3aXFCm7NxSZee79n+rqGtq0y7YGqCxCVFKTYpxrz4ZEx5sQsQAAMATDlTW6ZYXNsnhNDQ8PkK/v3yU2SHBD1HQAZ3YX1Z71OqTJdpWWClHO5u/9e0dfGTj7iSbUgZEslQxAAA9VF2jQwuezVZRRZ3CgwP12PUTFBpE3kf3o6ADjtLkcGp7UaU25JYoO79M2bkl2l9e16adxSKdERfhHjqZNsimgTFh7P0GAIAfMAxDd7ySo80FZbJYpGXXjNfQWObNwRwUdPBrFXWN2tRcuG3IK9XmgjLVNDjatOsVFKhxia6931IH2TRhoE1RvYJMiBgAAJjt7x/t1uub90uS7rx4uC4aaTc5IvgzCjr4DcMwVFBSq+z8Evf2Ad8VV8poO3pS8ZGhSh3k6n1LTbJpRL9Ilh8GAADKzCl0L4IyOzVBCyYNMTki+DsKOvRYDU1Obd1fftT8t1IdrKxv0y7AIo3oF3lk8+4kmwZE9zIhYgAA4M0+2XlQv3xpkyQpLcmmJVelMN0CpqOgQ49RUt2gjXmulSezc0v19d4y1Te13fstIsSq8UlHet/GJUYrPIQ/BQAA0LHsvFIteDZbjQ5DyXG99Y8fp7H4GbwC/4uFTzIMQ7sPVrs37t6QV6rvD1a323ZgTJh724C0QTYlx0UokL3fAADACdpWWKEbV3yp2kaHEmy9tPKnZ8vGVkTwEhR08Al1jQ7l7C13bdzdvP9bWU1jm3ZBgRaN6h/l7n1LTbIpLjLUhIgBAEBP8F1RpeY9/aUq6poUGxGi5+efrfgo/m8B70FBB690oLLOVbg1975t3V+uRkfb1Uuiw4KUOtDWvIBJjMYkRLEHDAAA6BJb9pVr3tPrVVrTqKheQXr2v85SUp9ws8MCWqGgg+kcTkM7D1S6V57MzitVfklNu22HxIYrdaBr6GRqUoyGxoYzGRkAAHS57LwS3fD/vlJlfZP6hAdr5U/P1oh+kWaHBbRBQYduV13fpK8LyrShufdtU16pKuub2rQLsQZobEK0e/uA8QNtimG8OgAA8LBPdh7Uf6/MVk2DQ/ZI1zDLYXERZocFtIuCDh63r6xWG3JLtLG5gNtWWCFnO3u/9e0dorSklt43m0b1j1Kwlb3fAABA93nuP3n63Rtb5XAaSrD10gvzz9HAPmFmhwV0iIIOXarJ4dS2wkptyCvRhrxSbcwrVWF5XZt2Fot0pj3iyOqTSTFKjOnF8EkAAGAKh9PQfW9t09Of7pEkjewXqadvSFO/KPamhXejoMNpKa9t1MZ8V+G2IbdUmwvKVNvoaNMuLDhQ4xKj3Zt3j0uMVlSvIBMiBgAAaK28plG/enmz1m4/IEm6aEScll0znn1q4RM8+irNysrSkiVL5HQ6NWfOHC1YsKDV+YaGBt1+++3aunWroqOj9dBDDykhIcGTIeE0GIah/JIabcgtdfe+7ThQKaOd4ZP9o0KVOihGqQOjlTYoRsPjI2QNZPgkAADwLpvyS3XLC5u0r6xWkjT//MG669IR7FkLn+Gxgs7hcGjx4sVasWKF7Ha7Zs+ercmTJ2vYsGHuNqtWrVJkZKTef/99ZWZm6sEHH9TDDz/c9cG8wB/kqah3WrWldpg21ozQhuoRyq4ZoUNNtjbtAuXQyF7fKzVsmyaEb1da2LfqH3xIMiTlNf8DPMIiRZwpVX7XfPvYTxea//YtVqn3UCnuAin/Zdex0H5SXaHr+6YayRomDZwrHfjE1e7sp1zn3hwhVe0+cv8Dn7iO1xW6rhF3get2S/v2rF/QeZuTad9yviWWGdtO7LoAADfDMPT/PsvV/W9vU6PDUGhQgO69crRmp9K5AN/isYIuJydHSUlJSkxMlCRlZGRo7dq1rQq6devW6ZZbbpEkTZ8+XYsXL5ZhGMyjMsnhpkhtrB6uDTUjtbF6hL6uTVaD0XZVyYiAKqWGb1dq2Dalhn+rsb12Kjyw7Tw5AAAAb7SvrFZ3vpKjT3YekiQlx/XWY9dP0Bl2VrKE7/FYQVdcXKz4+Hj3bbvdrpycnDZt+vXr5wrEalVERIRKS0sVExPjqbDQzGlY9H39AG2oHqkNNSO0sXqEvm9o/xOppOD9Sg3brtTwb5UWvk3JIfkKsLQzzhIAAMCLGYahF77M15/e2q6q5i2TZk1I0B+vHKWwYObLwTfxyvUTtc4QfV2TrOyaEcquHqGNNcNV5mi7OWaQpVEpvXYrLexbpYZv04SwbYoLKuv+gAEAALrQjuJK/e71rfri+8OSXNsl3Xtlii5Oie/knoB381hBZ7fbVVRU5L5dXFwsu93epk1hYaHi4+PV1NSkyspK2Wxt52jh5B1otLl737KrR2hr7VA1tfPrtgWWKzV8m1LDtiktfJtG99qp0IBGEyIGAADoeuU1jXrogx1a+Z88OZo3wr1q/AAtumykbOFtp5YAvsZjBd3o0aOVm5urgoIC2e12ZWZmaunSpa3aTJ48Wa+++qrGjx+vd999V+eccw7z506BwwjQd3VJym5euGRD9QjtbWz/06ahIQXu3re08G81OHi/eMoBAEBPU9fo0HP/ydNjH+5SaY3rw+ohfcN1z2Uj9cPhcSZHB3QdjxV0VqtVixYt0vz58+VwODRr1iwlJydr2bJlSklJ0ZQpUzR79mz9+te/1tSpUxUVFaWHHnrIM8Fc17Pme1XVN2lzfpk25JUoO69Um/LL3OPAjxYaFKCxCdGujbsH2TQ+0cYnUcCJrjTZoitWkDzZn9lZ+5O9HgD4kbpGh/71Zb4e+2i3DlbWS5J6h1i1cEqyfvKDQQq2so0SehaPzqFLT09Xenp6q2MLFy50fx8SEqJHHnnEkyH4PMMwtLe0VhvzXRt3Z+eVantRhZzt1KhxESFKG2TThIE2pQ2K0ch+kbxpAQAAv1BW06Dn1+frn5/n6kBzIRccGKDrzh6om384TLERISZHCHgGi6J4mUaHU9/ur3Bv3L0hr0TFFfVt2lks0pn2CKUNsrl64JJilGDrxZBVAADgV74rqtRz/8nT6uy9qm10SJKsARbNnZioW344TP2je5kcIeBZFHQmK69p1MZ8V8/bhrwSfV1Q7n4zOlp4cKDGDYxWalKM0pJsGj8wWhGhQSZEDAAAYK6q+iZl5uzXv74q0Kb8MvfxiBCrrjkrUTecN1gDKOTgJyjoupFhGMo9XKPsvFJl55VoQ26pdh6oarftgOhe7rlvqUk2nWmPkDWQ4ZMAAMA/1TU69OH2A3ozZ7/WbT+gukan+1xSnzDNOydJV09M5ANv+B0KOg+qa3Ro6/5y99y3jfmlOlTV0KadNcCiUf0jNSHpyPDJ+KhQEyIGAADwHgcr6/Xhdwe0btsBfbLzoKobjoxiCrEG6NLR/TQ3LVHnDIlh2gn8FgVdFzpUVd/c++b6983ecjU4nG3aRYZam3vfYjRhoE1jE6MUFsyvAgAA+Lfq+iZ9lVuiL3Yf1me7D2nLvopW560BFp03rK9mjO2vqSPtiupFbxxAFXGKnE5Duw9WaUNey+qTJco9XNNu20F9wlxz3wbZlJZk09DY3goI4FMkAADgvwzDUEFJrTYVuLZgys4r1bbCCjUds5R3eHCgJp0Rqx8Oj9PUEXa2YAKOQUF3gmobHNpcUKbs5r3fNuaXqby2sU274MAAjU6IUmrz8MnUJJv69maZXAAA4L+q65u080CVdhRXakdRpbbur9CW/eWqrGu7j26ARRqTEK0fDO2j84b11cRBMWzDBBwHBV0Hisrr3Bt3Z+eV6tv9bT8xkqQ+4cFHzX2zKWVAlEKDAk2IGAAAwDzltY0qKKnR3tJa7S2t0Z5D1co9XK09B6u1v7yuw/uFBQdqXGK0UpNce+mmDrIpkoVNgBNGQSfJ4TS0vajCtXVA8wIm+8pq222bHNe7eeXJGKUm2TSoTxiTcAEAQI/kdBoqq21USXW9Dlc16HB1gw5U1OlgVb0OVNSrqKJOheV1KiqvU1V92962Y8VGhOgMe2+N7BepUf2jlDIgUoP79lYgU1GAU+aXBV1FXaM2N4/Vzs4r1ab80larJrUIDQrQ2ITo5rlvrgVMosL4xAgAcHqysrK0ZMkSOZ1OzZkzRwsWLGh1vqGhQbfffru2bt2q6OhoPfTQQ0pISOj6QF7gP9E9kWFI9Uaw6pzBqnWGqNYIUa0zRDXOXqpxhqrGGaoqRy9VO3upyhGmSmeYKhzhqnSEq8IRrnJHb5U7IlTm6K1yR28ZOrnhjmEBtUoIOqCkkP0aErJfg4L3a0jIXp0Rmi+btdLVqLz537Yuf/h+ziLJOPJ9UKTUVCMZx04Taj7XWC5ZgqRrG6Q3R0h1hVJoP9dXyXVfSRpyg+vrgU+kuAuks5+S1i+Q8l92HR8498j5qt2SNezIsbOf6jjc9Qs6b3My7Y8+/+YI1/czev6LzC8KugOVdfps1yF3D9x3xZUy2o6elD0yRGnNPW9pg2wa0S9SQez9BgDoQg6HQ4sXL9aKFStkt9s1e/ZsTZ48WcOGDXO3WbVqlSIjI/X+++8rMzNTDz74oB5++OEuj8UwpO/rB6jO6HyRCUPHKf6Mjs8dm26Pvs6x12x97pj7GZ3fz5DlyPdGe+ckuc+7brfcxylL889ofdwwJKcC3NdxGgEydOSYYbju61SAnIZFhgLkMALkUIAMwyKHAprPHTnubP7qMALlUICajEA5jEDX1+bbTYZVTUagGpu/NhlWNRhWNTb/azCCmv9ZVe8MVoMRpHojWPXOINUbnpu7HxVYqVhrqeKCStXXWqp+QYcVH3RI/Zr/JQYXyxZYIQYvAd2nxxd0ByrqNHnpx22GAQRYpOHxke6Nu1OTbBoQ3YvhkwAAj8rJyVFSUpISExMlSRkZGVq7dm2rgm7dunW65ZZbJEnTp0/X4sWLZRhGl+eoh4qv1yMHru3Sa8K7BVsaFRZQq7CAOkUE1ig8oFbhAbWKDKxSZGC1+190YKVsgZWKCqxSjLVcfazlslkrFGRpO6IJgLl6fEFnDQxQeIhrkZLxA6Pdxdu4xGhFMOEWANDNiouLFR8f775tt9uVk5PTpk2/fv0kSVarVRERESotLVVMTEyXxhJjLVeAHHLKvxbzssjZ/NXV7xZgcR7Tx+c6brEYLf1wkgwFWI6cD5AhS/PtQItTAa4+PvftQDllsRgKlFMBzecDj/oaKKcCLQ5ZLQ4FWhwKlFPWlttyKMjikNXSpECL6/sgS5OsliYFWZoUbGlSsKVRQZZGBQc0KsTSqBBLg0ICWr42KLT5a1hAvcIC6hRqqVdYYB0FGdAD9fiCLiY8WP+5a4oMQ+z9BgDAUW7ou0ZzbB+o6QQLOkubgZAneq7jthaL0WHbttc02pxrad9ynSODLo9u0/yV/wYA6IF6fEEnSRaLhTdxAIBXsNvtKioqct8uLi6W3W5v06awsFDx8fFqampSZWWlbDabR+IJD+x4OXkAgPfzi4IOAABvMXr0aOXm5qqgoEB2u12ZmZlaunRpqzaTJ0/Wq6++qvHjx+vdd9/VOeec45k53td13KsGwM+c7GqQZz914qtTHu8aXdn+6PN+sLplCwo6AAC6kdVq1aJFizR//nw5HA7NmjVLycnJWrZsmVJSUjRlyhTNnj1bv/71rzV16lRFRUXpoYceMjtsAICXoqADAKCbpaenKz09vdWxhQsXur8PCQnRI4880t1hAQB8EJusAQAAAICPoqADAAAAAB9FQQcAAAAAPoqCDgAAAAB8FAUdAAAAAPgor1/l0uFwSFKrTVgBAD1Py/t8y/s+jo/8CAD+43g50usLuoMHD0qSrr/+epMjAQB0h4MHDyopKcnsMLwe+REA/E97OdJiGIZhUjwnpK6uTlu2bFFsbKwCAwPNDgcA4CEOh0MHDx5USkqKQkNDzQ7H65EfAcB/HC9Hen1BBwAAAABoH4uiAAAAAICP6vEFXVZWlqZPn66pU6fqqaeeMjscj5o8ebJmzJihK664QjNnzpQklZWV6cYbb9S0adN04403qry8XJJkGIbuvfdeTZ06VTNmzNDWrVvNDP203HXXXTr33HN12WWXuY+dyuN+9dVXNW3aNE2bNk2vvvpqtz+O09Hec/C3v/1NF1xwga644gpdccUV+vjjj93nnnzySU2dOlXTp0/XJ5984j7uy38vhYWFmjdvni699FJlZGTon//8pyT/ei109Bz422sBJ86ffs/+mCPJj+RHifwo+UF+NHqwpqYmY8qUKUZ+fr5RX19vzJgxw9i5c6fZYXnMD3/4Q+Pw4cOtjj3wwAPGk08+aRiGYTz55JPGn//8Z8MwDOOjjz4yfvrTnxpOp9PYtGmTMXv27G6Pt6t8+eWXxpYtW4yMjAz3sZN93KWlpcbkyZON0tJSo6yszJg8ebJRVlbW/Q/mFLX3HDzyyCPG8uXL27TduXOnMWPGDKO+vt7Iz883pkyZYjQ1Nfn830txcbGxZcsWwzAMo7Ky0pg2bZqxc+dOv3otdPQc+NtrASfG337P/pgjyY/kR8MgPxpGz8+PPbqHLicnR0lJSUpMTFRwcLAyMjK0du1as8PqVmvXrtWVV14pSbryyiv1wQcftDpusVg0btw4VVRU6MCBAyZGeuomTpyoqKioVsdO9nF/+umnOu+88xQdHa2oqCidd955rT6N8XbtPQcdWbt2rTIyMhQcHKzExEQlJSUpJyfH5/9e4uLiNGrUKElS7969NWTIEBUXF/vVa6Gj56AjPfW1gBPD77nn50jyI/lRIj9KPT8/9uiCrri4WPHx8e7bdrv9uL+8nuCnP/2pZs6cqZdeekmSdPjwYcXFxUmSYmNjdfjwYUltn5v4+Pge9dyc7OPuqa+V559/XjNmzNBdd93lHkrR0WPtSc/B3r17tW3bNo0dO9ZvXwtHPweS/74W0DF//D2TI8mPLfz1PZH82DPzY48u6PzNiy++qFdffVX/+Mc/9Pzzz+urr75qdd5ischisZgUnXn89XFfe+21ev/99/X6668rLi5O999/v9khdYvq6mrdeuut+s1vfqPevXu3Oucvr4VjnwN/fS0ARyNHtuWPj1kiP5Ife15+7NEFnd1ud++qLrmqbbvdbmJEntXy2Pr06aOpU6cqJydHffr0cQ8TOXDggGJiYtxtj35uioqKetRzc7KPuye+Vvr27avAwEAFBARozpw5+uabbyR1/HfRE56DxsZG3XrrrZoxY4amTZsmyf9eC+09B/74WkDn/O33TI508bf3xPb443si+bFn58ceXdCNHj1aubm5KigoUENDgzIzMzV58mSzw/KImpoaVVVVub//7LPPlJycrMmTJ+u1116TJL322muaMmWKJLmPG4ahzZs3KyIiwt3t3hOc7OM+//zz9emnn6q8vFzl5eX69NNPdf7555v4CE7f0fM9PvjgAyUnJ0tyPQeZmZlqaGhQQUGBcnNzNWbMGJ//ezEMQ7/97W81ZMgQ3Xjjje7j/vRa6Og58LfXAk6MP/2eyZFH+NN7Ykf87T2R/Njz86PV7AA8yWq1atGiRZo/f74cDodmzZrl/kX1NIcPH9bNN98sybWT/GWXXaZJkyZp9OjR+uUvf6nVq1erf//+evjhhyVJ6enp+vjjjzV16lT16tVL9913n4nRn55f/epX+vLLL1VaWqpJkybpF7/4hRYsWHBSjzs6Olo33XSTZs+eLUm6+eabFR0dbdIjOnntPQdffvmltm/fLkkaMGCAFi9eLElKTk7WJZdcoksvvVSBgYFatGiRAgMDJcmn/16ys7P1+uuv64wzztAVV1whyfW8+NNroaPnYM2aNX71WsCJIUf2/BxJfiQ/SuRHqefnR4thGIbZQQAAAAAATl6PHnIJAAAAAD0ZBR0AAAAA+CgKOgAAAADwURR0AAAAAOCjKOgAAAAAwEdR0AFdaO/evbrssstOuP2dd96pd955x4MRAQDgHciRgGdQ0AEAAACAj+rRG4sDZmhqatJtt92mb7/9VsnJyXrggQf09NNP68MPP1R9fb3Gjx+vxYsXy2KxtLrfo48+2m6befPmacyYMVq/fr0qKyu1ZMkSpaWlyeFw6MEHH9Qnn3wii8WiuXPnat68edqyZYvuv/9+1dTUyGaz6U9/+pPi4uJMejYAADiCHAl0PXrogC62Z88eXXfddXr77bcVHh6uF154QT/60Y/0yiuvaM2aNaqrq9OHH37Y5n7Ha+NwOLR69Wr95je/0aOPPipJeumll7Rv3z699tprevPNNzVjxgw1Njbq3nvv1SOPPKJ///vfmjVrlh566KFue+wAABwPORLoevTQAV2sX79+Sk1NlSRdfvnlWrlypRISErR8+XLV1dWprKxMycnJmjx5cqv7rV+/vsM2U6dOlSSNGjVK+/btkyR98cUXuuaaa2S1uv6Mo6OjtWPHDu3YsUM33nijJMnpdCo2NrZbHjcAAJ0hRwJdj4IO6GLHDhOxWCz6wx/+oFdeeUX9+vXT3/72N9XX17dqU19ff9w2wcHBkqSAgAA5HI4Of7ZhGEpOTtZLL73UhY8IAICuQY4Euh5DLoEutn//fm3atEmStGbNGvcnkTabTdXV1Xr33Xfb3KclMR2vzbF+8IMf6KWXXlJTU5MkqaysTIMHD1ZJSYn75zc2Nmrnzp1d8rgAADhd5Eig69FDB3SxwYMH6/nnn9dvfvMbDRs2TNdee63Ky8t12WWXqW/fvho9enSb+0RGRmrOnDnHbXOsOXPmKDc3V5dffrmsVqvmzp2rH/3oR3rkkUd07733qrKyUg6HQz/5yU+UnJzsiYcKAMBJIUcCXc9iGIZhdhAAAAAAgJPHkEsAAAAA8FEUdAAAAADgoyjoAAAAAMBHUdABAAAAgI+ioAMAAAAAH0VBBwAAAAA+ioIOAAAAAHwUBR0AAAAA+Kj/Dyqf8wBBPXIBAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 7))\n", "\n", "sns.regplot(data=df_default, x=\"balance\", y=\"is_default\", ax=ax1, ci=None, marker=\"|\", scatter_kws=dict(color=\"orange\"))\n", "sns.regplot(\n", @@ -235,7 +215,7 @@ " logistic=True, ci=None, marker=\"|\", scatter_kws=dict(color=\"orange\")\n", ")\n", "ax1.set_ylabel(\"Probability of Default\")\n", - "ax2.set_ylabel(\"Probability of Default\")" + "ax2.set_ylabel(\"Probability of Default\");" ] }, { @@ -247,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -317,7 +297,7 @@ "balance 0.005499 0.000220 24.952404 2.010855e-137 0.005067 0.005931" ] }, - "execution_count": 5, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -329,7 +309,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -399,7 +379,7 @@ "student[T.Yes] 0.404887 0.115019 3.520177 0.000431 0.179454 0.630320" ] }, - "execution_count": 6, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -418,7 +398,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -514,7 +494,7 @@ "income 0.000019 " ] }, - "execution_count": 7, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -526,22 +506,24 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 75, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", "\n", "sns.regplot(\n", " data=df_default[df_default.is_student == 1], x=\"balance\", y=\"is_default\",\n", @@ -583,7 +565,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -599,22 +581,24 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 74, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", "sns.lineplot(x=xs, y=d1.pdf(xs), color=\"green\", ax=ax1)\n", "sns.lineplot(x=xs, y=d2.pdf(xs), color=\"pink\", ax=ax1)\n", "ax1.axvline(x=mu_bayes, linestyle=\"--\", color=\"black\")\n", @@ -629,14 +613,14 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Bayes error rate is 10.42%, the LDA error rate is 10.46%\n" + "The Bayes error rate is 10.43%, the LDA error rate is 10.44%\n" ] } ], @@ -660,17 +644,67 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "from mpl_toolkits import mplot3d" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 135, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "mu = np.array([0, 0])\n", + "cov1 = np.array([[1, 0], [0, 1]])\n", + "cov2 = np.array([[1, -0.7], [-0.7, 1]])" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5), subplot_kw={'projection': \"3d\"})\n", + "\n", + "def gaussian(x, y, mu, cov):\n", + " return stats.multivariate_normal(mu, cov).pdf(np.stack((x, y), axis=2))\n", + "\n", + "x = np.linspace(-2.4, 2.5, 100)\n", + "y = np.linspace(-2.5, 2.5, 100)\n", + "\n", + "X, Y = np.meshgrid(x, y)\n", + "Z1 = gaussian(X, Y, mu, cov1)\n", + "Z2 = gaussian(X, Y, mu, cov2)\n", + "\n", + "ax1.contour3D(X, Y, Z1, 100, cmap='viridis')\n", + "ax1.set_xlabel('x1')\n", + "ax1.set_ylabel('x2')\n", + "ax1.set_zlabel('');\n", + "ax1.view_init(45, 35)\n", + "\n", + "ax2.contour3D(X, Y, Z2, 100, cmap='viridis')\n", + "ax2.set_xlabel('x1')\n", + "ax2.set_ylabel('x2')\n", + "ax2.set_zlabel('');\n", + "ax2.view_init(45, 35)" + ] }, { "cell_type": "code", diff --git a/requirements.txt b/requirements.txt index 5cb878b..a2a3e54 100644 --- a/requirements.txt +++ b/requirements.txt @@ -7,3 +7,4 @@ statsmodels matplotlib seaborn ipywidgets +ipympl From 373c4178fe873f9c97739229e8403884ca050b4a Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Thu, 7 Oct 2021 11:25:45 +0200 Subject: [PATCH 23/32] lda --- 04_Classification.ipynb | 240 ++++++++++++++++++++++++++++++++++++---- 1 file changed, 216 insertions(+), 24 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 7a1e655..595e38a 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -31,14 +31,14 @@ "\n", "from ipywidgets import widgets\n", "\n", - "from classification import print_classification_statistics, plot_ROC, print_OLS_error_table, plot_classification\n", + "import classification\n", "\n", "plt.style.use('seaborn-white')" ] }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -125,7 +125,7 @@ "2 No No 1073.549164 31767.138947 0 0" ] }, - "execution_count": 65, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -143,12 +143,12 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -190,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -227,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -297,7 +297,7 @@ "balance 0.005499 0.000220 24.952404 2.010855e-137 0.005067 0.005931" ] }, - "execution_count": 14, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -309,7 +309,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -379,7 +379,7 @@ "student[T.Yes] 0.404887 0.115019 3.520177 0.000431 0.179454 0.630320" ] }, - "execution_count": 15, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -398,7 +398,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -494,7 +494,7 @@ "income 0.000019 " ] }, - "execution_count": 16, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -506,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -565,7 +565,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -581,12 +581,12 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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koWnm1SPCL9ObXKwVNm/sPO5ceyetwdZBtzD84Ac/GHqQhmbnvcnFWmF52VCxD5panDYCEREPiMpYLBJnKl49Ym35WsbljWNc3jjTUTht7GkEu4Jsqtw06GJ68eLFQw/Ss1jLJcUrOLOvKl5FxCOiMhaLxJnaBjxibflaTh93uukYAD0HFAyldaC0tJTS0tKhBalv6j4kwMDhBH1lpENKihZtiYinRGUsFokzzbx6QE1zDTvrdho7nKCvMbljGJs7lrf3vD3oa9x8883AEPYWDIWcWc5huYPOEFU+H+RlHZoNFhHxgCGPxSIGaObVAzZWbATg1LGnGk5yyLxx88wu2mprh/YOdyzWCsvNgeZW59AEERERiQkVrx6wvmI9gNHDCfo6bcxpfHzgY2qaa8wECC/WynVBv2tY775XERERiQkVrx6woWID1giLvPQ801F6hPteh9I6MCQNTc5L9TmZZu5/JOFCWn2vIiIiMaPi1QM2VGzglDHu2pd8bvFcfPjMFq/ZmeB30T/h1BRn4VajilcREZFY0YItl6tsqGRPwx5OHeOefleA3PRcThx94qD7Xn/ykyGcahkKOYcTjCoY/DViJTdLM68i4hlDGotFDFHx6nIbKjYAuG7mFZxMT297mlAohC/C41nPPHMIJ4W1tjuLonJc1O8alpsN1QegI+jMxIqIuNiQxmIRQ1z0mqscyYaKDfh9fkqKSkxH+ZS5xXOpbq6mvL484ue++eabvPnmm4O7cXhBVK4LDwMIH1CgRVsi4gFDGotFDNHUkMutr1jPiaNOJDvNfbOMc4vnArCxciPj88dH9NzbbrsNGOTeguHFWtkuWqwVFi6oG5theL7ZLCIixzCksVjEEM28ulgoFHLlYq2w2UWz8fv8vFP5Tnxv3Njs7DLgpsVaYSndi7Y08yoiIhITLvzpL2Fl9WVUN1e7tnjNSs3i+JHHs7FyY/xuGgo5e7y6sd81LDfr0D60IiIiElUqXl1s/R7ncAK37TTQ29wxc9lYsZFQKBSfG7a0QWenO/tdw3KznRPAOoKmk4iIiCQcFa8utqFiA6n+VGYVzjId5ajmFs9lb9NeKhsr43PDRheerNWXFm2JiIjEjBZsudiGyg2cVHgS6SnppqMcVfjI2o0VGxljjRnw85YvXz64G4YXa2VlDO758RCeFW7Qoi0RcbdBj8UiBql4dalQKMTGio1cfsLlpqP0q6SoBB8+NlZuZJm1bODPKykZ3A0bmpyZTTcu1gpL0UlbIuINgx6LRQxycQWQ3HYf3M2B1gM9M5tulZOWw4yRMyLeceDFF1/kxRdfjOxm4ZO13NzvGqZFWyLiAYMai0UM08yrS5VWlQK48nCCvuaOmcvLn7wc0XNuv/12ABYvXjzwJ7W0QWeXu/tdw3pO2uqA1FTTaUREjmhQY7GIYZp5danSqlJ8+Dhp9EmmoxzTyUUnU9FQQVVjVWxvFF6sleOBmdecXn2vIiIiEjUqXl2qdG8p00dMd+XJWn3NHdN90lZFjPd7bWx2/2KtsFwVryIiIrGg4tWlSqtKPdEyADCnaA4+fLE/aaux2TkS1s2LtcLCi7aaVLyKiIhEkweqgORT11rHzrqdnilec9NzmT5iemxP2gov1srJjN09oi0n81Crg4iIiESFFmy50LtV7wLeWKwVdnLxybyx+40BP/53v/tdZDdo73BOrMr2QL9rWE4W1NRBsBNSAqbTiIh8SsRjsYgLqHh1IS/tNBBWUlTCys0rqW2pZXjm8GM+3rKsyG7gpcVaYeGsTc2Qn2s2i4jIEUQ8Fou4gNoGXKh0bymF2YUU5RSZjjJg4UI7PGt8LE899RRPPfXUwG/Q2OK891TbQHfxGs4uIuIyEY/FIi6gmVcX8tJirbDZhbMBJ/u5k8895uPvuusuAJYtG+CpXE3NzgKoFA/9k01LhdQU9b1K1FiWtRNoADqBoG3bp5hNJF4X8Vgs4gIeqgSSQ3tnO1v2bWHJGUtMR4lIYU4hxTnFlO4tjc0NvLZYC5xtvbK1aEui7lzbtmtMhxARMUVtAy7zQfUHdHR1eG7mFZzWgXC/blQFO53TtbzU7xqWkwVNLdDVZTqJiIhIQlDx6jJeXKwVVlJUwtbqrbQF26J74SYPLtYKy8lytvlqbjWdRBJDCHjesqyNlmV91XQYERETVLy6TGlVKVmpWUwbPs10lIiVFJUQ7AqytXprdC/cs1jLo8UrOLOvIkO3wLbtk4GlwNctyzrbdCARkXhTz6vLlO4tZVbhLAJ+7+0LGp4tLq0qZU7xnH4f+8ADDwz8wo3NzkKttNQhpDMkKwP8Pue/oXCE6TTicbZt7+l+v8+yrCeA04DXzKYSL4toLBZxCc28ukgoFHJ2GigsMR1lUKYWTCU7NXtAfa/jx49n/PjxA7tweLGWzze0gCb4fM7BClq0JUNkWVa2ZVm54T8D5wObzaYSr4toLBZxCc28usjug7upa63zZL8rQMAfYFbhrAHtOPDII48AcNVVV/X/wK4u5yX3saOjkNCQnEyoPuD0vnqxABe3KASe6N5UPgX4s23bz5mNJF434LFYxEVUvLrIpqpNgDcXa4WVFJXw0PsPEQqF8PVTqN17773AAAbMljan6PNiv2tYThZU1kBbu7NXrcgg2Lb9MTDbdA5JLAMei0VcRG0DLlJaVYrf5+ekwpNMRxm0kqIS6tvq2Vm3MzoX9OKxsH31nLSl1gEREZGhUvHqIqVVpUwfMZ2sVO8War0XbUVFY7Oz4CkrIzrXMyG7+3AFHRMrIiIyZCpeXcSLx8L2NXP0TPw+f3SL12yPLtYKCwQgM0MzryIiIlGg4tUlDrQcYNfBXZ7daSAsKzULa4QVnWNiQ6HunQa8OxPdI0c7DoiIiESDFmy5xLt73wW8vVgrrKSohDVla/p9zGOPPXbsC7V1OEfDJkTxmgnVtdARhFT9byci7jCgsVjEZTTz6hJePha2r5KiEnYf3E1tS+1RHzNy5EhGjhzZ/4XCM5XZiVC8hk/a0uyriLjHgMZiEZdR8eoSpVWlFOUUUZhTaDrKkIUL8Her3j3qY1asWMGKFSv6v1DPTgOZ0QlmknYcEBEXGtBYLOIyKl5dIhEWa4XNLnS2ouxv0daABsymZmehU8B7R+V+Slqq86YdB0TERVS8ihepeHWB9s52tlZv9fxirbDCnEKKc4qHvmgrfCxsosjJ1MyriIjIEKl4dYGt1Vvp6OpgTvEc01GipqSoZGjbZQWD0NqeGIu1wrKzoLnVOfJWREREBkXFqwsk0mKtsJKiErZWb6Ut2Da4C4RfXk+k4jUny9n+q6nVdBIRERHPUvHqAqVVpWSnZjO1YKrpKFFTUlRCsCvI1uqtg7tAIhwL25d2HBARERkybTjpAqVVpcwqnEXAnwALk7r1Pib2SO0QzzzzTP8XaGx29kNNS41BOkMy08HvV9+riLjGMcdiERfSzKthoVAooXYaCJs2fBrZqdlsqtp0xK9nZWWRldXPrGpTgpys1ZvPp0VbIuIqxxyLRVxIxathuw7u4mDbwYQrXv0+P7MKZ/WcHNbXPffcwz333HPkJ3d1OX2hiVa8QvcxsS1O76uIiGH9jsUiLqXi1bBEXKwVFt5xIHSEQu3RRx/l0UcfPfITm1ud4i6RtskKy86Czk5nJwUREcP6HYtFXErFq2GlVaX4fX5mjp5pOkrUlRSVUN9Wz866nZE9MZGOhe0rXJBr0ZaIiMigqHg1rLSqFGuERVZq4hVqvRdtRaSpxVnYlJUR9UzGZXcXr+p7FRERGRQVr4ZtqtqUkC0DADNHz8Tv80devDY2Q3aGs8Ap0QQCTlGuY2JFREQGRcWrQbUttew+uDthi9es1CysEVZkx8SGQt3HwibeTHSPnCzNvIqIiAyS9nk16N0qZyV+ohav4Py3rSlb86nPr169+shPaO+AYGdi9ruGZWfCvlroCDp72YqIGHLUsVjExTTzalD45fTZhbPNBomhkqISdh/cTW1L7cCe0HOyVgLuNBAWnlXW7KuIiEjEVLwaVLq3lOKcYgpzCk1HiZnwrHJ4ljnszjvv5M477/z0ExJ5p4EwHRMrIi5x1LFYxMVUvBqUiCdr9RWeVe67aOvvf/87f//73z/9hMYW5xjVlMQ5KvdT0lKdNy3aEhHDjjoWi7iYildD2oJtbK3emvDFa2FOIcU5xQNftNXUnNizrmE6JlZERGRQVLwasrV6K8GuYMIXr3DopK1jCnZCS1ti97uGZWc5J4l1dZlOIiIi4ikqXg0JF3NziuaYDRIHJUUlbK3eSluwrf8HNnW/jJ7I22SF5WQ524I1tZpOIiIi4ikqXg0prSolOzWbqcOnmo4ScyVFJQS7gmyt3trzuczMTDIz+8ywJsNirTAt2hIRFzjiWCzictpk0pBNVZuYXTQbvy/xf3/ofUzsnGJnpvnZZ5/99AObmp2FWumpcUxnSGa6cwSu+l4lQpZlBYANwB7bti82nUe87YhjsYjLJX7l5EJdoS5np4HCEtNR4mJqwVSyU7OP3ffa2OLMSCbisbB9+XxatCWD9S/AB6ZDiIiYouLVgJ11O2lob+iZhUx0AX+AWYWzDttx4Mc//jE//vGPDz0oFHJ6XpOhZSAsJ8sp2EMh00nEIyzLGgdcBNxnOoskhk+NxSIeoOLVgE2Vm4DEPha2r/COA6HuQu2ll17ipZdeOvSAlu6V98mw00BYdhZ0dkJru+kkEmeWZc0fyOeOYDlwK+CJbSrGjB+Dz+cb8tuY8WMSMo8bfGosFvEA9bwaUFpVSsAXYObomaajxE1JUQn3briXnXU7mVww+dMPaEyinQbCwoV6U7PTAyvJ5FfAyQP4XA/Lsi4G9tm2vdGyrIUxzBY1leWVLFyxcMjXWX3d6iFfA9yXR0QGR8WrAZuqNnH8qOPJSMkwHSVuei/aOnLx2uz0gWYlz/eE7O7itbEZRhaYzSJxYVnWGcCZwCjLsr7d60t5wLGOlZsPXGJZ1oVABpBnWdaDtm1/ITZpRUTcSW0DBiTDsbB9zRw9E7/Pf/RFW43NkJ3hrMBPFoGAU6zrmNhkkgbk4Ewc5PZ6qwcu7++Jtm1/z7btcbZtTwKuBl5W4SoiyUgzr3FW3VTNnoY9SbPTQFhWahbWCKtn0daIESMOf0BTCxTkxT+YaTlZcLDRdAqJE9u2XwVetSxrhW3bu0znEfnUWCziASpe46znZK0k2Wmgt5KiEtaUrQHg8ccfP/SF9g7nLZn6XcOyM2FfLXQEIVX/OyaRdMuyfg9Motc4bNv2ooE82bbt1cDqWAST5HLYWCziEfppGWfh4nV24WyzQQwoKSph5eaV1LbUMjxz+KEvhPc6TaadBsLCBXtjc3LOPCevvwC/xdnyqtNwFhERT1HxGmele0sZnzeeEVnJ91JNuM/33ap3ef73zwPw05/+NLmOhe2r9zGxKl6TSdC27XtNhxD53ve+B3SPxSIeoeI1zjZVbkrKlgE4NNtcWlXK2rVrD32hqQXS05LzZfO0VOdNi7aSzVOWZd0EPAG0hT9p23atuUiSjA4bi0U8IgmrBXOaO5qx99tcccIVpqMYUZhTSHFO8WEnbQHOzGsy9ruG6ZjYZPSl7vf/1utzIWCKgSwiIp6i4jWONu/bTFeoK+m2yeotfNJWAd37mnZ2QXNrcu9zmp0FB/Y6J4wl01ZhScy27SNsdiwiIgOh4jWOwsfCJmvbADjF6wsfv8AZoTPw+/xOywAk+cxrFoRC0NQKuUn8fUgilmV98Uift237T/HOIiLiNSpe46i0qpRhGcOYmD/RdBRjSopKCHYFyRmZ4+w40LPTQBIXbb0Xbal4TRan9vpzBnAe8A6g4lXiaty4caYjiERMxWscbaraRElRCT6fz3QUY8ItE1f84Aq+POfLsG2Xc9JURprZYCZlpjvtAup7TRq2bX+z98eWZQ0DHjaTRpLZgw8+aDqCSMTUYBcnnV2dvLf3vaQ7WauvqQVTyU7NPnRMbGP3bGMSF/T4fFq0JU2A+mBFRAZAM69x8lHtR7QEW5J6sRZAwB9gVuEsHv/fx/E9B8sv+yKMHW06lnk5WbC31ul9TeZCPklYlvUUzu4CAAHgeOBRc4kkWd18880ALF++3GgOkUioeI0TLdY6pKSohLe3v01pyyb43LXJ3e8alp0FndXQ2u60EUiiu7PXn4PALtu2y02FkeRVWlpqOoJIxNQ2ECelVaWkBdKYMXKG6SjGzSmaQ2dXJx3trc4ntEjp0NG4TWodSAa2bb8KfAjkAgVAu9lEIiLeoeI1Tkr3lnLiqBNJCyTxwqRu4daJYLDdWaiUmWE2kBtkdxev6ntNCpZlXQm8DVwBXAmssyzrcrOpRES8QW0DcRAKhdhUuYmLp19sOoorzBw9E3zg6+xyWgbU4+nsuJCVoWNik8f3gVNt294HYFnWKOBF4DGjqUREPEDFaxyU15dT3VzN3OK5pqO4QmZqJgVjCzhh2GS1DPSWkwUHG02nkPjwhwvXbvvRK2FiwPTp001HEImYitc42Fi5EYC5Y1S8hn3lO9dwR8GXtFirt+xM2FcLHUFI1f+aCe45y7JWASu7P74KeMZgHklSv//9701HEImYfkLGwcaKjQR8AWYXzjYdxTUWjZoHQaj2NTPKdBi3CBfyjc1QkGc2i8SEZVnTgELbtv/NsqzPAQu6v7QWeMhcMhER71DxGgcbKzdywqgTyEzNNB3FNR686y881h7ic3d9lYsKJ5iO4w652c77hiYVr4lrOfA9ANu2/wr8FcCyrJO6v7bMVDBJTl/96lcBzcCKt6jHKsZCoRAbKzeqZaCP8t2VlO7axobulgrBaRXISNOOA4mt0Lbt9/t+svtzk+IfR5Ldtm3b2LZtm+kYIhFR8Rpjexr2sK9pnxZr9RYK4evsojXU0dMPLN1ysqFBxWsCG9bP1/TSjIjIAKh4jbGNFd2LtVS8HtLWDqEQnf4QGyo2mE7jLrlZ0NrmLNqSRLTBsqx/7vtJy7KuB/SbnIjIAKjnNcY2Vm7E7/Mzu0iLtXp0zyz6U1KpbPyEyoZKinOLDYdyid59r8PzzWaRWLgZeMKyrGs4VKyeAqQBl5oKJSLiJSpeYyy8WCsrVVtC9WhspmTadCryOvmAbWys3MjFuTrAATh8xwEVrwnHtu29wJmWZZ0LzOz+9NO2bb9sMJYksZKSEtMRRCKm4jWGQqEQGys2smTaEtNR3KWxieXf/QGNsyby2E8fY0PFBp0+FpaaAhnp6ntNcLZtvwK8YjqHyPLly01HEImYel5jqKKhgr1Ne9Xv2lso5BRmOVnkpOVw/KjjtWirr9wsp21AREREPkUzrzGkk7WOoK0dOoJ84bZ/g6wM5l42lxc+fsF0KnfJzYbqA9DRAampptOISAL7whe+AMCDDz5oOInIwGnmNYY2VjiLtUqKSkxHcY/ul8PLq/dSXl7OKWNOoaqxioqGCsPBXCTc96rWARGJsfLycsrLy03HEImIitcY2li5keNHHq/FWr01NIHPB4EAcGgLsfCWYoLTNgBqHRARETkCtQ3ESPhkrfOnnm86irs0NEHOob3YS4pK8Pv8bKjYwDJLJ2MCkJICmVq0JYezLCsDeA1Ixxm7H7Nt+z/MphIRiT/NvMZIRUMFVY1VWqzVW3ixVngvUyA7LZvjR2rR1qfkZuuYWOmrDVhk2/ZsoARYYlnW6WYjiYjEn2ZeYyR8cpSK115aWqGzE3KzOeOMM3o+PXfMXJ7f8TyhUAifz2cwoIvkZMG+WmjvgDQt2hKwbTsENHZ/mNr9FjKXSBJB77FYxCtUvMbI23veJsWfwsnFJ5uO4h7hl8Fzs/npT3/a8+m5xXP507t/oqKhgrF5Yw2Fc5neJ22NGGY0iriHZVkBnJO5pgG/sW17neFI4gZ+hvyL/89+9jOKxxVTUXZo8eykiRPZtXt3z8fJNrmQmpJi9L85Mz2dlrY2Y/efOGECO3ftMnb//qh4jZF1e9Yxq3AWmamZx35wsqhvAr8fsjIO+/QpY04BnNlqFa/dep+0peJVutm23QmUWJY1DOeY2Zm2bW82HEtM64KFKxYO+TKrr1t92Me7du8mtOlDFl5/rfP1+x4Y8j0i4ZszI67366sjGCS06UNj9/fNmWH8/m6lntcY6Ap1sb5iPfPGzjMdxV0ampyV9D4fl112GZdddhkAc4rmkOJPYd0eTSL1SAk4Rb4WbckR2LZdh3NCl47vkyHZ/KvNbP6Vfv8Rb1HxGgN2jU19Wz2njT3NdBT36OpyZhG7Xw7fv38/+/fvByAzNZNZhbNUvPaV033SVkhtjQKWZY3qnnHFsqxM4DOAuWkZSQgdjR10NHaYjiESERWvMRAuwjTz2ktTi1OE9dppoLfTx57O+j3r6ezqjHMwF8vLcRZstbWbTiLuUAy8YlnWe8B64AXbtv9uOJOISNyp5zUG1pWvIz89H2ukZTqKe/RarHUk88bN454N9/BBzQfMHD0zjsFcLK/7e1XfBBnpZrOIcbZtvwfMMZ1DRMQ0zbzGwNsVb3Pq2FPx+/Tt7dHQ5Gy+n5F2xC+fPs7ZrnJduVoHemRngt/nFK8iIiICqHiNupaOFt7b+x6njVG/62F6LdYCOO+88zjvvPN6vnzc8OMoyChQ32tvfj/kZEND47EfKyIyCAUnFFBwQoHpGCIRUdtAlL1T+Q7BriDzxqnftUdnp9Pz2mvLpx/+8IeHPcTn83Ha2NN4q/ytOIdzubxs2LPPWfDm1++aIhJdk/5hkukIIhHTT8Moe3vP2wDaaaC38MveeTn9Puz0caezpXoLje2aaeyRl+0sdGtsMZ1ERETEFVS8Rtm6PeuYkD+Bopwi01Hco767GM07tFhr6dKlLF269LCHzRs7j65QV8/RusKhgl+tAyISA+/d9R7v3fWe6RgiEVHxGmXr9qzTFll91Tc5G+6nHupSaWlpoaXl8NnE8Gy1Wgd6SU+DtFQt2hKRmOhs76SzXVsUireoeI2ifU372Fm3U8Vrb6GQM/N6jJYBgBFZIzhu+HFatNVXXo6KVxERkW4qXqMovM2TFmv10tIGwc7DWgb6M2/cPN4qf4uQTpU6JC8bWtucAwtERESSnIrXKFpTtoZUfypzi+eajuIePf2ux555BeekrarGKsrqy2IYymN6H1YgIiKS5LRVVhStKVvD3DFzyUzNNB3FPeobISXg9Lz2cvHFFx/x4eFZ67fK32JC/oSYx/OEnO79cRuaYOQw02lEJIGMKBlhOoJIxFS8RklbsI31e9bzjdO+YTqKu9Q3OUfCdh9OEPad73zniA+fXTibrNQs1uxew5UnXhmPhO4XCDinbdVrxwERia4JSzVJIN6jtoEo2Vi5kbbONuaPn286insEg87hBANsGQBIDaRy+rjTeaPsjRgG86C8bOcXAfUCi4hIklPxGiVrdq8BYP4EFa89eg4n+PRirYULF7Jw4cIjPm3B+AWUVpXS0NYQw3Aek5/rnLLV2Gw6iYgkkE0/3cSmn24yHUMkIipeo+SNsjc4bvhxjM4ebTqKewzwZK2+FkxYQFeoi7Xla2MQyqPyu7+HB9U6ICIiyU3FaxSEQiHeLHtTs6591Tc6vZopgYiedvq40/H7/LyxW60DPdLTICMNDmo2WkREkpuK1yjYtn8bNc016nftLXw4QX5ks64Auem5zCmao+K1r/xcZ+ZVfa8iIpLEVLxGQbjIUvHaS2MzdHY5BdcgLJiwgLfK36KjUxvz98jPgY6gc/CDiIhIklLxGgVrytYwInMEM0bOMB3FPeq6X94+yszrlVdeyZVXHn0rrAUTFtASbGFTlRYS9Aj/IqDWARGJktGnjWb0aVqrId6ifV6jYE3ZGs4cfya+PnuZJrWDjZCZ7vRqHsFNN93U79PDs9iv73qd08aeFvV4npSZDqkpzve2eJTpNCKSAMaeN9Z0BJGIaeZ1iPY17WPb/m1qGegtFHJmB/tpGWhubqa5+ejbPhXnFjO1YKr2e+3N53NmsjXzKiJR0tnWSWdbp+kYIhFR8TpEq3euBmDhpIVGc7hKcysEO/tdrHXhhRdy4YUX9nuZBRMW8MbuNwhpgdIh+TnQ2g5t7aaTiEgCeO8X7/HeL94zHUMkIipeh+iVT14hJy2Hk4tPNh3FPXr6XQe3WCvsrAlnUdNcw4c1H0YhVILo6XvVfq8iIpKcVLwO0epdqzlrwlmkBlJNR3GPgw2QnursSzoE4dnsV3a+EoVQCSInCwJ+tQ6IiEjSUvE6BJUNlXxY8yHnTjrXdBT3CIWcWcH8XKdHcwimFExhQv4EXv7k5SiFSwA+n3NiWZ2KVxERSU4qXofg1V2vAnDuZBWvPVraoL1jyC0DAD6fj0WTF/HKzlfoCnVFIVyCKMhz+orV9yoiIklIW2UNwSufvEJeeh4lRSWmo7hHeEZwWP/F63XXXTegyy2atIgVpSt4f+/7zC6aPcRwCSL8va1rgMIRZrOIiKcVLSgyHUEkYipeh+CVna9w9sSzSfHr29jjQL2zt2tmer8PG2jxGp7VfvmTl1W8huVkQUoA6upVvIrIkBSfVWw6gkjE1DYwSHvq9/BR7Ufqd+0tFHIKqoJj97vW1NRQU1NzzEuOyxvHccOP4+Wd6nvt4fM5s68HGpzvuYjIILU3tNPeoBYk8RZNGQ6S9nc9gsZmZ3/XYXnHfOjll18OwOrVq4/52EWTF/Hn9/9MsCuoWe6wYXlQUwetbZCZYTqNxIFlWeOBPwGFQAj4vW3bd5tNJV635ddbAJjzvTmGk4gMnGZeB+mlT15iWMYwZhfqpeweB+qd9wXHLl4jsWjyIhraG3in8p2oXtfTCnr1vUqyCAK32LZ9AnA68HXLsk4wnElEJO5UvA5CKBRi1Y5VLJ6ymIA/YDqOexyoh+xMSIvunrfh2W1tmdVLZobzfQ7/wiAJz7btStu23+n+cwPwAaCD6UUk6eg12EHYUr2FioYKLph6geko7tHZ5ezvOmZ01C89Ons0J40+ied3PM93F3w36tf3pJ6+13qn73WIe+qKt1iWNQmYA6wzHCU+/M7Weclmw3fW01jTNKDHrr5u9ZDuFX5+Mn6f5chSU1Li+u8hJSWFKVOmDOyxMc6SkFZtXwWg4rW3+kaniCoY+v6uR7Jk2hKWv7WcxvZGctJyYnIPzynIg3210NTi7EAgScGyrBzgceBm27aTY+q9CxauWDjkywy1wIu3xpom3nl25TEfV/dhHcNmDBvUPf751v8C4P/7+Y+o+7COcxceWoTsmzNjUNeUxNARDBLaFL/j2cv37eW8b/7zgB6r4nUQVu1YxfEjj2d8/njTUdzjQP2h2cABuPHGGyO6/JJpS7jjzTt4+ZOXucS6ZDAJE0+4t7j2oIrXJGFZVipO4fqQbdt/NZ1HvO/yiz5jOoJIxFS8Rqi5o5nXdr3GjadEVnwlvAP1kJcNgYH1AF911VURXX7BhAVkp2bz3PbnVLyGpadBTqZTvE7QXo2JzrIsH3A/8IFt278wnUcSwwXnnGE6gkjEtGArQq/teo22zjYumKaWgR5t7c42WcPzB/yUsrIyysrKBvz4tEAa5005j2e3P0tIe5seUpDv9BoHg6aTSOzNB64FFlmWVdr9dqHpUOJtVdX7qarebzqGSEQ08xqhVdtXkR5I5+yJZ5uO4h613W13ERSv1157LTCwfV7DlkxdwpP2k2zbvw1rpBVJwsQ1Ih/KqpyZ71HDTaeRGLJt+w1Aq2kkqn54x28Ap+dVxCs08xqhVTtWcfbEs8lKVY9hj9o6SE91tsmKoSXTlgDw3PbnYnofT8nLcY6KrU2OdTsiIiIqXiOwq24XH9R8oF0Geuvqcmb9hufHfLumyQWTsUZYPLdDxWsPn89ZuFV7UEfFiohIUlDxGoEn7ScBtGCot4ONzh6vw4fF5XZLpi1h9c7VtHS0xOV+njA8H9o7nC2zREREEpyK1wg8ue1JZoycwXEjjjMdxT1qD3bP/sVmf9e+LjruIlqDrbz48YtxuZ8nhHuN9x80m0NERCQOtGBrgA62HmT1ztXccsYtpqO4S+1BZ2/XAW6RFXbLLYP7Pp4z6Rzy0/P524d/Y5m1bFDXSDhpqZCbBfvrYKK2zBKRgfvC5y4yHUEkYipeB+jZ7c8S7AqqZaC35hZoboUxoyJ+6rJlgys80wJpXDT9Ip7c9iSdXZ0E/JEVzQlrxDDYWeFsW5aeZjqNiHjEOafPNR1BJGJqGxigJ+0nGZU1inlj55mO4h41dc77kQURP9W2bWzbHtRtP2t9lprmGt4se3NQz09I4b+D8N+JiMgA7CyvYGd5hekYIhFR8ToAHZ0dPPPRMyybvkwzfb3VHIDc7EHN9N1www3ccMMNg7rtkmlLSAuk8bcP/zao5yek7EzIzHD+TkREBui/f3kf//3L+0zHEImIitcBeHXXqxxsO6iWgd5a26ChGUYOi/utc9NzWTxlMX+z/6bTtnobOczZ/aFDp22JiEjiUvE6AI9ueZSctBzOn3q+6SjuMYSWgWj4rPVZPj7wMe/ve9/I/V1p5DBnr9f9daaTiIiIxIyK12Po6Ozg8Q8e5xLrEjJTY3uClKfUHHBeqs7KMHL7S6xL8Pv8/GXLX4zc35Vys52TztT3KiIiCUzF6zG89MlL1LbUctWJV5mO4h7tHc7L0wZaBsIKcwpZNHkRKzevVOtAmM/nzITXHoRgp+k0IiIiMaGtso7hkS2PkJeepyNhe9tX67wfNXzQl/jBD34w5Bifn/l5vvLkV9hQsYFTx5465OslhNHDYc8+Z2a8aKTpNCLictd//lLTEUQippnXfrQF23jigyf47IzPkp6SbjqOe+zbDzlZTtvAIC1evJjFixcPKcalMy4l1Z/Kys0rh3SdhJKbDRnph37BEBHpx7w5JzFvzkmmY4hERMVrP174+AUOth1Uy0Bvza3OLgOjBz/rClBaWkppaemQrlGQWcDS45byyJZH6Ap1DelaCcPnc/5uDtQ77R0iIv2wd+zE3rHTdAyRiKh47ccD7z3A8MzhLJ4ytBnChLJvv/N+iMXrzTffzM033zzkOJ+f+XkqGip4fdfrQ75Wwgj/3Wj2VUSO4c7f/Yk7f/cn0zFEIqLi9SgOtBzgbx/+jWtOuoa0gI7bBJxtmPbWwrBc1xxBumz6MrJTs3nwvQdNR3GP7EzIyVTxKiIiCUnF61Gs3LyS9s52vlzyZdNR3KOhyTmcoHCE6SQ9stOyueLEK3h4y8M0tjeajuMeo0c4f1/NLaaTiIiIRJWK16P4Y+kfmV04mznFc0xHcY+qGvD7jW6RdSTXz7mexvZG7fnaW+EIp/+1ssZ0EhERkahS8XoEm/dtZkPFBq4ruc50FPcIdjotA6OHQ4q7dlg7c/yZWCMs7t90v+ko7pGWCiPyYe9+6NJiNhERSRzuqkJcYkXpClL8KVxz0jWmo7jHvlqnCCqOzt6hP/nJT6JyHQCfz8dX5nyFW1+8lQ+qP+D4UcdH7dqeVjzKOW1rf92Q9uQVkcT1jeuuNh1BJGKaee2jpaOFP5b+kc/O+CyjskeZjuMeldXOQqDc7Khc7swzz+TMM8+MyrUAvjj7i6T4U/jDpj9E7ZqeV5DnLKxT64CIHMXsE6Yz+4TppmOIRETFax8Pb36Y2pZavnHqN0xHcY+GJmhsdmbyfL6oXPLNN9/kzTffjMq1wDku9hLrEv5Y+keaO5qjdl1P8/mcU7YO1ENLm+k0IuJC727dxrtbt5mOIRIRFa+9hEIhfvX2r5g5eiZnTzzbdBz3qKh2FmoVRu+l59tuu43bbrstatcD+Jd5/8L+lv089N5DUb2upxWPdIrYin2mk4iIC/16xcP8esXDpmOIRETFay9ry9eyqWoT3zj1G/iiNMPoee0dzqKfohGuW6jV11kTzqKkqIS7191NKBQyHccd0tNgVIHT9hEMmk4jIiIyZCpee7l73d3kpedxzSwt1OpRsc85nGBsoekkx+Tz+bh53s1sqd7CS5+8ZDqOe4wrhM4u9b6KiEhCUPHabXvtdh7b+hhfm/s1ctJyTMdxh84up2VgxDDIyjCdZkCunnk1o7NHs/yt5aajuEduNuTnwJ7uX0REREQ8TMVrtzvW3EGqP5WbT7/ZdBT32LsfOoLOzJ1HpKekc9MpN/H0R0/z/t73Tcdxj3GF0NYO1QdMJxERERkSdzcxxkllQyUr3l3Bl0u+THFusek47tDVBbsrD83aRdny5cujfs2wb877JnetvYv/eu2/+MsVOnULODR7vrvS6YFVT7cnWZb1B+BiYJ9t2zNN5xHv+84NXzQdQSRimnkF7lp7F8GuIP925r+ZjuIee/c7M3WTxsSk0CkpKaGkpCTq1wUYnjmcb837Fo9tfYzN+zbH5B6e4/PBxGJoatHsq7etAJaYDiGJw5o6CWvqJNMxRCKS9MXrnvo9/Gb9b7h21rVMHT7VdBx36OqCXd2zrgV5MbnFiy++yIsvvhiTawP86+n/Sk5aDj9+7ccxu4fnjBruzL7uqlDvq0fZtv0aUGs6hySOdZveZ90mtViJtyR98fpfr/4XnV2d/OfC/zQdxT2qamI66wpw++23c/vtt8fk2gAjskbwrdO+xV+2/EW9r2E+n/N32tzqHPcrIoPjd3Y3GeqbG9y38gnuW/mE6RgiEUnqntdt+7dx/6b7uenUm5g0bJLpOO4Q7ISdFU6fa4xmXePlljNv4d4N93LL87ew6gurXPPDwqiRBc4xvzsrnN5Xf9L//ioSuS5YuGLhkC+z+rrVQ76GSDJK6p9ct75wKxkpGXz/rO+bjuIeuyudHQamjvf8op7hmcP5j3P+gxc+foFntz9rOo47+HwwZRy0tkH5XtNpREREIpa0xeuzHz3L/7P/Hz88+4cU5nhnK6iYChc0hSOcftcEcOOpN3Lc8OO45flb6OjsMB3HHYbnw4h85xeVdn1PRETEW5KyeG0LtvGt577F9BHT+dcz/tV0HHcIheCj3c7M3OSxptNETVogjbvOv4sPaz7kF2t/YTqOe0wZD10h+LjcdBKJgGVZK4G1zh+tcsuyvmI6k4hIvCVlz+vP3vgZ22u3s+oLq0gLpJmO4w7VB6D2oNMukB7778nvfve7mN8jbJm1jM8d/zn+89X/5LITLmPa8Glxu7drZWXA+CJn9nX0cGc2VlzPtu3Pm84gieX737redASRiCXdzOs7le9w++u3c81J13D+1PNNx3GHjiBs3w25WTB2dFxuaVkWlmXF5V4Av1r6K9ID6Xz1qa/SFeqK231dbWKxU8Ru2+Us1BORpDNp3BgmjRtjOoZIRJKqeG0LtvHFJ77IqKxR/Grpr0zHcYdQCOydTvEyfVLcFmk99dRTPPXUU3G5F8CY3DHc8Zk7eGXnK9z91t1xu6+r+f3O33lbO+woM51GRAx49a2NvPrWRtMxRCKSVG0Dt75wK1uqt/D0Pz5NQWaB6TjuUFkN++ucFeg5WXG77V133QXAsmXL4nbP60++nqc/epp/f/HfOWfSOZxcfHLc7u1a+TlO+0BZlbM12ujhphOJSBw9+NenATjn9LmGk4gMXNLMvD68+WF++fYvuXnezVx43IWm47hDY7Mz41aQB+MSf8cFn8/H/Zfcz+js0Vz92NXUtdaZjuQOk8ZAXjZs2+kcYCAiIuJiSVG8vr/3fa5/8nrmj5/Pzz/zc9Nx3KG9AzZvh9QUmDHZ83u6DtSIrBGsvGwln9R9wtWPXU2wK2g6knl+Pxw/xfk3sGU7BPU9ERER90r44rXsYBlLH1pKfkY+j17xKKmBVNORzOvscgrXjiCcOA3Skut7ctbEs7j3ontZtWMV3171bUKhkOlI5mWkO/8WWtpgyw7o0qI2ERFxp4Tuea1tqWXpQ0tpaG/g9S+/zphcraikqwu2boeGJjhhasIcRhCp60++ng+qP+AXb/2CkVkj+dE5PzIdybxhuTB9orOAz96ZVDPyIiLiHQlbvNY01/CZBz7DR7Uf8cw/PsOswlmmI5nX1QUffAy19U6RMsrcorUHHnjA2L3D7jj/Dmpba/mP1f9BRkoGt86/1XQk84pGOi0ln+xxPlYBK5LQfvxvXzcdQSRiCVm8lteXs/ShpWyv3c6TVz/JeVPOMx3JvGAnbN0BB+qdgwiKRxmNM378eKP3B/D7/Ny37D5ag638+4v/Tk1zDT9b/DP8voTvpunfhGJnC7WdFc4vPDOmQCDJvyciCapo1AjTEUQilnDF67rydXz2kc/S1N7E0//4NIsmLzIdybzW7j7GxmawJjmza4Y98sgjAFx11VVGcwT8AR689EGGZwznjjfvYE/DHu5bdh+ZqZlGcxk3cYxTsO4oh3dtmJl8vdEiyWDVq2sBuOCcMwwnERm4hJlOCYVC/G7D7zhnxTlkpmSy9itrVbiCs4frxq3OQpyZ01xRuALce++93HvvvaZjAE4B++sLf81PFv2EP7//Z+bdN48Paz40Hcu8cUVw4lRoanH+DR2oN51IRKLssadf4LGnXzAdQyQiCVG8VjZUcvHKi/na01/j7Iln8/Y/v82Jo080HcusYBA+2uXsKpCeBicfDyOGmU7lWj6fj++d9T2eveZZKhsrOeX3p/Crdb+isyvJj00dWQBzZkAgAO9tg4/LoTPJvyciImKUp4vXtmAb//PG/zD919N5+ZOX+eWSX/LcF55jZJY7ZheNCIVg735YvwUqqmHsaJhzvHOGvRzTkmlLKL2hlPkT5vOt577F6fefztqytaZjmZWTBXOPd2bty6qcf1s1B5x/ayIiInHmyeK1qb2JX677JdN/PZ3vvvRdFk1exPs3vs83530zeRfbhEJQXQsbtsCHnzj9iXOOh2kTtNgmQmPzxvLcNc+x8rKVlNeXc+YfzmTpQ0t5q/wt09HMCQScfunZFqQEnB7qdz5QESsiInHnqQVb7+99nxWlK/i/d/+P/S37WTBhAfdfcj+Lpyw2Hc2c1nbYWwOVNdDWDpkZzmlJowq0xdEQ+Hw+rp55NcumL+M363/Dz9f8nDPuP4NTxpzC1+Z+jStOvIK89DzTMeNvWK7TgrKvFnZVOkVsZrozK1s0Uou6REQk5lxdvHZ0drC2fC3PfPQMT3/0NJv3bSbVn8oyaxnfPv3bzJ8w33TE+AuFnF0DDtRDTZ1z2AA4RcW08U5fqweK1scee8x0hAHJTsvm1vm3cuMpN/J/7/4fv93wW65/6npueuYmFk9ZzKUzLmXR5EVMHjYZnwe+71Hh9zuFauEIp4itrHb2hf1kD+TlwMhhMDzfaVVJlu+JiEf9/Ps3m44gEjHXFK8NbQ1sr93OhzUfsqFiA29XvM07le/Q3NFMij+FBRMWcPeSu/nHk/4xeXpau7qcXQKaWpy3xmY42HhowUxOFkwe68yyZnqrp3XkSG/9Heam5/KN077B10/9OmvL1/L41sf564d/5ZmPngFgTO4YzppwFiVFJcwcPZOZo2cyIX9CYrex+HxOAVs4AppbYG+ts7vFx+XOW0rAKWbzsiErE7IznGNo/Qn8PRHxmIL8JHwFSTwv6sVrKBSiqaOJxvZGGtsbaWo/9OfG9kaqm6vZ27iXfU372Nu0l6rGKnYc2EFVY1XPNTJSMphTNId/PvmfOXvi2Syesti7L9GGQk4R2tX9PhRy/hzsdHYE6P2+I+i89N/z1nH4tbIyYHQB5Oc6M63paWb+m6JgxYoVAFx33XVGc0TK5/Nx5vgzOXP8mdx5/p1sqd7Ca7te4/Xdr7Nm9xoe2fJIz2MzUjIYlzeO8XnjGZ8/nrG5YxmeOZyCjAIKMgt63melZpGZkklGSkbPW2rAYy+/Z2U6v0hNHuvsK1zX4PyidbARag8eepzPB+mpzr/d9DSnzSAt1Sl0UwKQkuK8DwScXm2//9B7EYm6J194FYBLPnOO4SQiAxf14vWJ1f8fk5uyAXpeRs3pfvPh4zjygXxS/CeQkp9CakEqaZPSSAukkR5IIy2QTnog7dBLsI3Au7u7r97PwpAjfukInzzqJUIDeEzvh/eXpbtADYUiW8zi9x36oT4sz3mfmQ7ZWc6sVQL9APdq8dqbz+frmWW96dSbAKhrrWPLvi1sqd7Ctv3bKKsvo+xgGa988goVDRV0hga2zVTAFyA9JZ0Ufwp+n5+AL0DAHzjin/0+f8/Hn8rIp1+2P1J7Q9/HDeQxA31chi+NyWlFTEkfw+T0YopSChidWkBhSgGjUwpI9/dfqHeGutgxxsf06af2+zgRidxTKl7Fg6JevM6dMI+OPZUE/AFSfCnOe38KAX8KKf6AU5ympOM/7IfeEfrijtoq5xvAY3o/fAAP8n3qDwPM009uv9+5t9/vFKW93/t8zsxSaq+ZppTAoa+JZw3LGMb8CfOP2I8dCoVoaG/gQMsBDrQe4EDLAepa62gJttDS0UJrsJXWYCstwUN/7uzqpDPUSWdXJ12hrkN/pqvna10h58+hPr91hY7wi1PfxxzpcQN5TCSPA2igi3cp5922cmg7/GsZvlRyfJlk+zPI8WeQ7csgy59Omi+FNF8qaf4UzshddsTriohI8ol68Tpx6myYOjvalxXxPJ/PR156HnnpeUxkouk4IiIinpQ4r0OLiIiISMJT8SoiIiIinuGarbIkuTzzzDOmI4iIJL1f/te/m44gEjEVr2JEVlaW6QgiIkkvMyPddASRiKltQIy45557uOeee0zHEBFJao/+/Xke/fvzpmOIRETFqxjx6KOP8uijj5qOISKS1F547S1eeO0t0zFEIqLiVUREREQ8Qz2vIiIeYVnWEuBuIADcZ9v2zwxHEhGJO828ioh4gGVZAeA3wFLgBODzlmWdYDaViEj89TfzGgCoqqqKUxRJJsFgEIDy8nLDSSRR9Rq7AiZzRNFpwHbbtj8GsCzrYeAfgK3dX3fdmJ2SkkKwLqjrDPI6KSkp7Nt/4JjXqa+vp33/kY9mPpau7iOd9+0/QH19PeX79h52//J9ewl2dQEc9rV4CN/fFN0/vvev2l8T/uMxx2zf0c4ityxrAfB69GKJiBhxlm3bb5gOMVSWZV0OLLFt+/ruj68F5tm2/Y3ujzVmi0giOOaY3d/M63rgLKAS6IxmKhGROAgAxThjWTLQmC0iXjbgMfuoxatt222A52crRCSp7TAdIIr2AON7fTyu+3OAxmwRSQgDGrO124CIiDesB46zLGsyTtF6NfCPZiOJiMTfUXtevcqyrFuAO4FRtm3XHOvxXmBZ1h3AMqAd57eSL9u2XWc01BAl6pY/lmWNB/4EFAIh4Pe2bd9tNlV0da963wDssW37YtN5kollWRcCy3H+v/mDbdv/Haf7/hhncVgXsA+4zrbtinjceyC8MEZalnUF8J/A8cBptm1vMJvI4fax2LKsPwAXA/ts255pOk9fXhjzLcvKAF4D0nEmLR+zbfs/zKb6tEh+tiTUVlnd/4jOB3abzhJlLwAzbdueBWwDvmc4z5Ak+JY/QeAW27ZPAE4Hvp5A/21h/wJ8YDpEMrJt+xnbtqfbtj01XoVrtzts255l23YJ8HfgR3G890B4YYzcDHwOp4hwBY+MxSuAJaZD9MMLY34bsMi27dlACbDEsqzTzUY6ogH/bEmo4hX4X+BWnN9+EoZt28/bth3eT+UtnF43L+vZ8se27XYgvOWP59m2XWnb9jvdf27A+R9xrNlU0WNZ1jjgIuA+01kkfmzbru/1YTYuG2O9MEbatv2Bbdu26Rx9uH4stm37NaDWdI6j8cKYb9t2yLbtxu4PU7vfXPX/cKQ/WxKm59WyrH/AmWp+17Is03Fi6Z+AR0yHGKKxQFmvj8uBeYayxIxlWZOAOcA6w1GiaTnOL4i5hnNInFmW9d/AF4GDwLmG4/QnEcbIeEmKsThe3Dzmd8+ybwSmAb+xbdttGZcTwc8WTxWvlmW9CBQd4UvfB27DaRnwpP7+22zb/n/dj/k+zksUD8Uzm0TOsqwc4HHg5j6zVp5lWVa472yjZVkLTeeR6DrWGGTb9veB71uW9T3gG0Bce+a8MEYOJKMkJreP+bZtdwIllmUNA56wLGumbdubDccCBvezxVPFq23bi4/0ecuyTgImA+FZ13HAO5ZlnWbbtnuOm+nH0f7bwizLug6naf0827ZdNd0/CP1u+eN1lmWl4gxiD9m2/VfTeaJoPnBJ96KhDCDPsqwHbdv+guFcEgXHGoN6eQh4hjgXr14YIyP4HrpFQo/F8eKlMd+27TrLsl7B6SN2RfHKIH62eKp4PRrbtt8HRoc/tixrJ3BKAu02sARnOv0c27abTeeJgoTd8seyLB9wP/CBbdu/MJ0nmmzb/h7dC2G6fzv+jgrX5GBZ1nG2bX/U/eE/AB+azNNXAo6R8ZKwY3G8eGHMtyxrFNDRXbhmAp8B/sdwrB6D+dmSaAu2EtWvcfpAXrAsq9SyrN+aDjQU3QsrvgGswmluf9S27S1mU0XNfOBaYFH331Vp92+TIl72M8uyNluW9R5Oe9a/mA7Uh+vHSMuyLrUsqxw4A3jasqxVpjN5YSy2LGslsNb5o1VuWdZXTGfqwwtjfjHwSvf/v+uBF2zb/rvhTEOScPu8ioiIiEji0syriIiIiHiGilcRERER8QwVryIiIiLiGSpeRURERMQzVLyKiIiIiGeoeBURERERz1DxKiIiIiKeoeJVRERERDzj/wdS1e4jpWKJpgAAAABJRU5ErkJggg==\n", 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" ] @@ -613,14 +613,14 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Bayes error rate is 10.43%, the LDA error rate is 10.44%\n" + "The Bayes error rate is 10.46%, the LDA error rate is 10.49%\n" ] } ], @@ -644,7 +644,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -653,7 +653,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -664,7 +664,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -708,10 +708,202 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 225, + "metadata": {}, + "outputs": [], + "source": [ + "cov = np.array([[1, 0.4], [0.4, 1]])\n", + "mu1 = np.array([-1, -1])\n", + "mu2 = np.array([1, 2])\n", + "mu3 = np.array([2, 1])" + ] + }, + { + "cell_type": "code", + "execution_count": 226, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "eigen_values, eigen_vectors = np.linalg.eig(cov)\n", + "lambda1, lambda2 = eigen_values\n", + "\n", + "if lambda1 > lambda2:\n", + " largest_eigen_vector = eigen_vectors[:, 0]\n", + "else:\n", + " largest_eigen_vector = eigen_vectors[:, 1]\n", + "theta = np.arctan(largest_eigen_vector[1]/largest_eigen_vector[0])*180/np.pi\n", + "\n", + "chi2_critical_value = stats.chi2(df=2).ppf(0.95)\n", + "width = 2*np.sqrt(chi2_critical_value*lambda1)\n", + "height = 2*np.sqrt(chi2_critical_value*lambda2)" + ] + }, + { + "cell_type": "code", + "execution_count": 227, + "metadata": {}, + "outputs": [], + "source": [ + "# grid of points to plot the bayes and LDA regions/lines\n", + "N_points_grid = 200\n", + "xx, yy = np.meshgrid(np.linspace(-5, 5, N_points_grid), np.linspace(-5, 5, N_points_grid))\n", + "X = np.c_[xx.ravel(), yy.ravel()]\n", + "\n", + "inv_cov = np.linalg.inv(cov)\n", + "delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mu1)) - 1/2*np.dot(mu1, np.dot(inv_cov, mu1))\n", + "delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mu2)) - 1/2*np.dot(mu2, np.dot(inv_cov, mu2))\n", + "delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mu3)) - 1/2*np.dot(mu3, np.dot(inv_cov, mu3))\n", + "bayes_region1 = np.logical_and(delta1_fun(X) > delta2_fun(X), delta1_fun(X) > delta3_fun(X))\n", + "bayes_region2 = np.logical_and(delta2_fun(X) > delta1_fun(X), delta2_fun(X) > delta3_fun(X))\n", + "bayes_region3 = np.logical_and(delta3_fun(X) > delta1_fun(X), delta3_fun(X) > delta2_fun(X))" + ] + }, + { + "cell_type": "code", + "execution_count": 235, + "metadata": {}, + "outputs": [], + "source": [ + "def bayes_lines(mu1, mu2, mu3, cov, N):\n", + " inv_cov = np.linalg.inv(cov)\n", + " x_coef_12, y_coef_12 = np.dot(inv_cov, mu1-mu2)\n", + " cte_coef_12 = -1/2*np.dot(mu1+mu2, np.dot(inv_cov, mu1-mu2))\n", + "\n", + " x_coef_13, y_coef_13 = np.dot(inv_cov, mu1-mu3)\n", + " cte_coef_13 = -1/2*np.dot(mu1+mu3, np.dot(inv_cov, mu1-mu3))\n", + "\n", + " x_coef_23, y_coef_23 = np.dot(inv_cov, mu2-mu3)\n", + " cte_coef_23 = -1/2*np.dot(mu2+mu3, np.dot(inv_cov, mu2-mu3))\n", + "\n", + " # Bayes lines\n", + " xs = np.linspace(-5, 5, N)\n", + " ys_12 = -(x_coef_12*xs + cte_coef_12)/y_coef_12\n", + " ys_13 = -(x_coef_13*xs + cte_coef_13)/y_coef_13\n", + " ys_23 = -(x_coef_23*xs + cte_coef_23)/y_coef_23\n", + " center_idx = np.argmin(np.abs(ys_12 - ys_13))\n", + " \n", + " return xs, ys_12, ys_13, ys_23, center_idx\n" + ] + }, + { + "cell_type": "code", + "execution_count": 236, + "metadata": {}, + "outputs": [], + "source": [ + "N_sample = 20\n", + "N_classes = 3\n", + "sample1 = stats.multivariate_normal(mean=mu1, cov=cov).rvs(N_sample)\n", + "sample2 = stats.multivariate_normal(mean=mu2, cov=cov).rvs(N_sample)\n", + "sample3 = stats.multivariate_normal(mean=mu3, cov=cov).rvs(N_sample)\n", + "\n", + "# LDA prediction\n", + "pi1 = pi2 = pi3 = N_sample/N_classes # priors\n", + "est_mean1 = 1/N_sample*np.sum(sample1, axis=0)\n", + "est_mean2 = 1/N_sample*np.sum(sample2, axis=0)\n", + "est_mean3 = 1/N_sample*np.sum(sample3, axis=0)\n", + "est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False))/N_classes\n", + "\n", + "inv_est_cov = np.linalg.inv(est_cov)\n", + "est_delta1_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean1)) - 1/2*np.dot(est_mean1, np.dot(inv_est_cov, est_mean1)) + np.log(pi1)\n", + "est_delta2_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean2)) - 1/2*np.dot(est_mean2, np.dot(inv_est_cov, est_mean2)) + np.log(pi2)\n", + "est_delta3_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean3)) - 1/2*np.dot(est_mean3, np.dot(inv_est_cov, est_mean3)) + np.log(pi3)\n", + "\n", + "lda_region1 = np.logical_and(est_delta1_fun(X) > est_delta2_fun(X), est_delta1_fun(X) > est_delta3_fun(X))\n", + "lda_region2 = np.logical_and(est_delta2_fun(X) > est_delta1_fun(X), est_delta2_fun(X) > est_delta3_fun(X))\n", + "lda_region3 = np.logical_and(est_delta3_fun(X) > est_delta1_fun(X), est_delta3_fun(X) > est_delta2_fun(X))" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "metadata": {}, + "outputs": [], + "source": [ + "from matplotlib.patches import Ellipse" + ] + }, + { + "cell_type": "code", + "execution_count": 241, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bayes accuracy: 90.0%, 70.0%, 65.0%\n", + "LDA accuracy: 95.0%, 95.0%, 80.0%\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "\n", + "ellipse1 = Ellipse(mu1, width=width, height=height, angle=theta, facecolor='none', edgecolor=\"green\")\n", + "ellipse2 = Ellipse(mu2, width=width, height=height, angle=theta, facecolor='none', edgecolor=\"orange\")\n", + "ellipse3 = Ellipse(mu3, width=width, height=height, angle=theta, facecolor='none', edgecolor=\"blue\")\n", + "ax1.add_patch(ellipse1)\n", + "ax1.add_patch(ellipse2)\n", + "ax1.add_patch(ellipse3)\n", + "\n", + "# Bayes lines\n", + "xs, ys_12, ys_13, ys_23, center_idx = bayes_lines(mu1, mu2, mu3, cov, 100*N_points_grid)\n", + "ax1.plot(xs[:center_idx], ys_12[:center_idx], \"--\", color='black')\n", + "ax1.plot(xs[center_idx:], ys_13[center_idx:], \"--\", color='black')\n", + "ax1.plot(xs[center_idx:], ys_23[center_idx:], \"--\", color='black')\n", + "# Bayes regions\n", + "ax1.contourf(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.1, colors='green', levels=[0.5, 1.0])\n", + "ax1.contourf(xx, yy, bayes_region2.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", + "ax1.contourf(xx, yy, bayes_region3.reshape(xx.shape), alpha=0.1, colors='blue', levels=[0.5, 1.0])\n", + "\n", + "ax1.set_xlim(-5, 5)\n", + "ax1.set_ylim(-5, 5);\n", + "\n", + "# sample points\n", + "ax2.scatter(sample1[:,0], sample1[:,1], color='green')\n", + "ax2.scatter(sample2[:,0], sample2[:,1], color='orange')\n", + "ax2.scatter(sample3[:,0], sample3[:,1], color='blue')\n", + "\n", + "# Bayes lines\n", + "ax2.plot(xs[:center_idx], ys_12[:center_idx], \"--\", color='black')\n", + "ax2.plot(xs[center_idx:], ys_13[center_idx:], \"--\", color='black')\n", + "ax2.plot(xs[center_idx:], ys_23[center_idx:], \"--\", color='black')\n", + "\n", + "# LDA lines\n", + "xs, est_ys_12, est_ys_13, est_ys_23, est_center_idx = bayes_lines(est_mean1, est_mean2, est_mean3, est_cov, 100*N_points_grid)\n", + "ax2.plot(xs[:est_center_idx], est_ys_12[:est_center_idx], \"-\", color='black')\n", + "ax2.plot(xs[est_center_idx:], est_ys_13[est_center_idx:], \"-\", color='black')\n", + "ax2.plot(xs[est_center_idx:], est_ys_23[est_center_idx:], \"-\", color='black')\n", + "# LDA regions\n", + "ax2.contourf(xx, yy, lda_region1.reshape(xx.shape), alpha=0.1, colors='green', levels=[0.5, 1.0])\n", + "ax2.contourf(xx, yy, lda_region2.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", + "ax2.contourf(xx, yy, lda_region3.reshape(xx.shape), alpha=0.1, colors='blue', levels=[0.5, 1.0])\n", + "\n", + "ax2.set_xlim(-5, 5)\n", + "ax2.set_ylim(-5, 5);\n", + "\n", + "pred_green = sum([np.logical_and(delta1_fun(x) > delta2_fun(x), delta1_fun(x) > delta3_fun(x)) for x in sample1])/N_sample*100\n", + "pred_orange = sum([np.logical_and(delta2_fun(x) > delta1_fun(x), delta2_fun(x) > delta3_fun(x)) for x in sample2])/N_sample*100\n", + "pred_blue = sum([np.logical_and(delta3_fun(x) > delta2_fun(x), delta3_fun(x) > delta1_fun(x)) for x in sample3])/N_sample*100\n", + "print(f'Bayes accuracy: {pred_green:.1f}%, {pred_orange:.1f}%, {pred_blue:.1f}%')\n", + "est_pred_green = sum([np.logical_and(est_delta1_fun(x) > est_delta2_fun(x), est_delta1_fun(x) > est_delta3_fun(x)) for x in sample1])/N_sample*100\n", + "est_pred_orange = sum([np.logical_and(est_delta2_fun(x) > est_delta1_fun(x), est_delta2_fun(x) > est_delta3_fun(x)) for x in sample2])/N_sample*100\n", + "est_pred_blue = sum([np.logical_and(est_delta3_fun(x) > est_delta1_fun(x), est_delta3_fun(x) > est_delta2_fun(x)) for x in sample3])/N_sample*100\n", + "print(f'LDA accuracy: {est_pred_green:.1f}%, {est_pred_green:.1f}%, {est_pred_blue:.1f}%')" + ] }, { "cell_type": "markdown", From d4de0e60a77da72c87b6f3d6b961f8bbe44eb454 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Thu, 7 Oct 2021 23:53:57 +0200 Subject: [PATCH 24/32] reuse same functions for bayes and lda --- 04_Classification.ipynb | 123 +++++++++++++++++++++++----------------- 1 file changed, 71 insertions(+), 52 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 595e38a..0a9a0e1 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -708,7 +708,7 @@ }, { "cell_type": "code", - "execution_count": 225, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -720,7 +720,7 @@ }, { "cell_type": "code", - "execution_count": 226, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -740,31 +740,42 @@ }, { "cell_type": "code", - "execution_count": 227, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "# grid of points to plot the bayes and LDA regions/lines\n", "N_points_grid = 200\n", + "x_lines = np.linspace(-5, 5, 100*N_points_grid)\n", "xx, yy = np.meshgrid(np.linspace(-5, 5, N_points_grid), np.linspace(-5, 5, N_points_grid))\n", - "X = np.c_[xx.ravel(), yy.ravel()]\n", - "\n", - "inv_cov = np.linalg.inv(cov)\n", - "delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mu1)) - 1/2*np.dot(mu1, np.dot(inv_cov, mu1))\n", - "delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mu2)) - 1/2*np.dot(mu2, np.dot(inv_cov, mu2))\n", - "delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mu3)) - 1/2*np.dot(mu3, np.dot(inv_cov, mu3))\n", - "bayes_region1 = np.logical_and(delta1_fun(X) > delta2_fun(X), delta1_fun(X) > delta3_fun(X))\n", - "bayes_region2 = np.logical_and(delta2_fun(X) > delta1_fun(X), delta2_fun(X) > delta3_fun(X))\n", - "bayes_region3 = np.logical_and(delta3_fun(X) > delta1_fun(X), delta3_fun(X) > delta2_fun(X))" + "X = np.c_[xx.ravel(), yy.ravel()]" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "def bayes_regions(mu1, mu2, mu3, cov, N, X, pi1=1, pi2=1, pi3=1):\n", + " inv_cov = np.linalg.inv(cov)\n", + " delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mu1)) - 1/2*np.dot(mu1, np.dot(inv_cov, mu1)) + np.log(pi1)\n", + " delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mu2)) - 1/2*np.dot(mu2, np.dot(inv_cov, mu2)) + np.log(pi2)\n", + " delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mu3)) - 1/2*np.dot(mu3, np.dot(inv_cov, mu3)) + np.log(pi3)\n", + " region1 = np.logical_and(delta1_fun(X) > delta2_fun(X), delta1_fun(X) > delta3_fun(X))\n", + " region2 = np.logical_and(delta2_fun(X) > delta1_fun(X), delta2_fun(X) > delta3_fun(X))\n", + " region3 = np.logical_and(delta3_fun(X) > delta1_fun(X), delta3_fun(X) > delta2_fun(X))\n", + " \n", + " return region1, region2, region3, delta1_fun, delta2_fun, delta3_fun" ] }, { "cell_type": "code", - "execution_count": 235, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ - "def bayes_lines(mu1, mu2, mu3, cov, N):\n", + "def bayes_lines(mu1, mu2, mu3, cov, N, xs):\n", " inv_cov = np.linalg.inv(cov)\n", " x_coef_12, y_coef_12 = np.dot(inv_cov, mu1-mu2)\n", " cte_coef_12 = -1/2*np.dot(mu1+mu2, np.dot(inv_cov, mu1-mu2))\n", @@ -776,18 +787,27 @@ " cte_coef_23 = -1/2*np.dot(mu2+mu3, np.dot(inv_cov, mu2-mu3))\n", "\n", " # Bayes lines\n", - " xs = np.linspace(-5, 5, N)\n", " ys_12 = -(x_coef_12*xs + cte_coef_12)/y_coef_12\n", " ys_13 = -(x_coef_13*xs + cte_coef_13)/y_coef_13\n", " ys_23 = -(x_coef_23*xs + cte_coef_23)/y_coef_23\n", " center_idx = np.argmin(np.abs(ys_12 - ys_13))\n", " \n", - " return xs, ys_12, ys_13, ys_23, center_idx\n" + " return ys_12, ys_13, ys_23, center_idx\n" ] }, { "cell_type": "code", - "execution_count": 236, + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "bayes_region1, bayes_region2, bayes_region3, bayes_delta1, bayes_delta2, bayes_delta3 = bayes_regions(mu1, mu2, mu3, cov, N_points_grid, X)\n", + "bayes_line_12, bayes_line_13, bayes_line_23, bayes_center_idx = bayes_lines(mu1, mu2, mu3, cov, 100*N_points_grid, x_lines)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -799,24 +819,25 @@ "\n", "# LDA prediction\n", "pi1 = pi2 = pi3 = N_sample/N_classes # priors\n", - "est_mean1 = 1/N_sample*np.sum(sample1, axis=0)\n", - "est_mean2 = 1/N_sample*np.sum(sample2, axis=0)\n", - "est_mean3 = 1/N_sample*np.sum(sample3, axis=0)\n", - "est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False))/N_classes\n", - "\n", - "inv_est_cov = np.linalg.inv(est_cov)\n", - "est_delta1_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean1)) - 1/2*np.dot(est_mean1, np.dot(inv_est_cov, est_mean1)) + np.log(pi1)\n", - "est_delta2_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean2)) - 1/2*np.dot(est_mean2, np.dot(inv_est_cov, est_mean2)) + np.log(pi2)\n", - "est_delta3_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean3)) - 1/2*np.dot(est_mean3, np.dot(inv_est_cov, est_mean3)) + np.log(pi3)\n", - "\n", - "lda_region1 = np.logical_and(est_delta1_fun(X) > est_delta2_fun(X), est_delta1_fun(X) > est_delta3_fun(X))\n", - "lda_region2 = np.logical_and(est_delta2_fun(X) > est_delta1_fun(X), est_delta2_fun(X) > est_delta3_fun(X))\n", - "lda_region3 = np.logical_and(est_delta3_fun(X) > est_delta1_fun(X), est_delta3_fun(X) > est_delta2_fun(X))" + "est_mu1 = 1/N_sample*np.sum(sample1, axis=0)\n", + "est_mu2 = 1/N_sample*np.sum(sample2, axis=0)\n", + "est_mu3 = 1/N_sample*np.sum(sample3, axis=0)\n", + "est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False))/N_classes" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "lda_region1, lda_region2, lda_region3, lda_delta1, lda_delta2, lda_delta3 = bayes_regions(est_mu1, est_mu2, est_mu3, est_cov, N_points_grid, X, pi1, pi2, pi3)\n", + "lda_line_12, lda_line_13, lda_line_23, lda_center_idx = bayes_lines(est_mu1, est_mu2, est_mu3, est_cov, 100*N_points_grid, x_lines)" ] }, { "cell_type": "code", - "execution_count": 237, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -825,20 +846,20 @@ }, { "cell_type": "code", - "execution_count": 241, + "execution_count": 55, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Bayes accuracy: 90.0%, 70.0%, 65.0%\n", - "LDA accuracy: 95.0%, 95.0%, 80.0%\n" + "Bayes accuracy: 95.0%, 85.0%, 80.0%\n", + "LDA accuracy: 95.0%, 95.0%, 75.0%\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -860,10 +881,9 @@ "ax1.add_patch(ellipse3)\n", "\n", "# Bayes lines\n", - "xs, ys_12, ys_13, ys_23, center_idx = bayes_lines(mu1, mu2, mu3, cov, 100*N_points_grid)\n", - "ax1.plot(xs[:center_idx], ys_12[:center_idx], \"--\", color='black')\n", - "ax1.plot(xs[center_idx:], ys_13[center_idx:], \"--\", color='black')\n", - "ax1.plot(xs[center_idx:], ys_23[center_idx:], \"--\", color='black')\n", + "ax1.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color='black')\n", + "ax1.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color='black')\n", + "ax1.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color='black')\n", "# Bayes regions\n", "ax1.contourf(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.1, colors='green', levels=[0.5, 1.0])\n", "ax1.contourf(xx, yy, bayes_region2.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", @@ -878,15 +898,14 @@ "ax2.scatter(sample3[:,0], sample3[:,1], color='blue')\n", "\n", "# Bayes lines\n", - "ax2.plot(xs[:center_idx], ys_12[:center_idx], \"--\", color='black')\n", - "ax2.plot(xs[center_idx:], ys_13[center_idx:], \"--\", color='black')\n", - "ax2.plot(xs[center_idx:], ys_23[center_idx:], \"--\", color='black')\n", + "ax2.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color='black')\n", + "ax2.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color='black')\n", + "ax2.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color='black')\n", "\n", "# LDA lines\n", - "xs, est_ys_12, est_ys_13, est_ys_23, est_center_idx = bayes_lines(est_mean1, est_mean2, est_mean3, est_cov, 100*N_points_grid)\n", - "ax2.plot(xs[:est_center_idx], est_ys_12[:est_center_idx], \"-\", color='black')\n", - "ax2.plot(xs[est_center_idx:], est_ys_13[est_center_idx:], \"-\", color='black')\n", - "ax2.plot(xs[est_center_idx:], est_ys_23[est_center_idx:], \"-\", color='black')\n", + "ax2.plot(x_lines[:lda_center_idx], lda_line_12[:lda_center_idx], \"-\", color='black')\n", + "ax2.plot(x_lines[lda_center_idx:], lda_line_13[lda_center_idx:], \"-\", color='black')\n", + "ax2.plot(x_lines[lda_center_idx:], lda_line_23[lda_center_idx:], \"-\", color='black')\n", "# LDA regions\n", "ax2.contourf(xx, yy, lda_region1.reshape(xx.shape), alpha=0.1, colors='green', levels=[0.5, 1.0])\n", "ax2.contourf(xx, yy, lda_region2.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", @@ -895,13 +914,13 @@ "ax2.set_xlim(-5, 5)\n", "ax2.set_ylim(-5, 5);\n", "\n", - "pred_green = sum([np.logical_and(delta1_fun(x) > delta2_fun(x), delta1_fun(x) > delta3_fun(x)) for x in sample1])/N_sample*100\n", - "pred_orange = sum([np.logical_and(delta2_fun(x) > delta1_fun(x), delta2_fun(x) > delta3_fun(x)) for x in sample2])/N_sample*100\n", - "pred_blue = sum([np.logical_and(delta3_fun(x) > delta2_fun(x), delta3_fun(x) > delta1_fun(x)) for x in sample3])/N_sample*100\n", + "pred_green = sum([np.logical_and(bayes_delta1(x) > bayes_delta2(x), bayes_delta1(x) > bayes_delta3(x)) for x in sample1])/N_sample*100\n", + "pred_orange = sum([np.logical_and(bayes_delta2(x) > bayes_delta1(x), bayes_delta2(x) > bayes_delta3(x)) for x in sample2])/N_sample*100\n", + "pred_blue = sum([np.logical_and(bayes_delta3(x) > bayes_delta2(x), bayes_delta3(x) > bayes_delta1(x)) for x in sample3])/N_sample*100\n", "print(f'Bayes accuracy: {pred_green:.1f}%, {pred_orange:.1f}%, {pred_blue:.1f}%')\n", - "est_pred_green = sum([np.logical_and(est_delta1_fun(x) > est_delta2_fun(x), est_delta1_fun(x) > est_delta3_fun(x)) for x in sample1])/N_sample*100\n", - "est_pred_orange = sum([np.logical_and(est_delta2_fun(x) > est_delta1_fun(x), est_delta2_fun(x) > est_delta3_fun(x)) for x in sample2])/N_sample*100\n", - "est_pred_blue = sum([np.logical_and(est_delta3_fun(x) > est_delta1_fun(x), est_delta3_fun(x) > est_delta2_fun(x)) for x in sample3])/N_sample*100\n", + "est_pred_green = sum([np.logical_and(lda_delta1(x) > lda_delta2(x), lda_delta1(x) > lda_delta3(x)) for x in sample1])/N_sample*100\n", + "est_pred_orange = sum([np.logical_and(lda_delta2(x) > lda_delta1(x), lda_delta2(x) > lda_delta3(x)) for x in sample2])/N_sample*100\n", + "est_pred_blue = sum([np.logical_and(lda_delta3(x) > lda_delta1(x), lda_delta3(x) > lda_delta2(x)) for x in sample3])/N_sample*100\n", "print(f'LDA accuracy: {est_pred_green:.1f}%, {est_pred_green:.1f}%, {est_pred_blue:.1f}%')" ] }, From a9af73eb993d89748c9f64f871e0a3288ae50b02 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Fri, 8 Oct 2021 01:20:07 +0200 Subject: [PATCH 25/32] LDA and QDA --- 04_Classification.ipynb | 486 ++++++++++++++++++++++++++-------------- classification.py | 34 +-- 2 files changed, 334 insertions(+), 186 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 0a9a0e1..21f4b2c 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 136, "metadata": {}, "outputs": [], "source": [ @@ -20,7 +20,7 @@ "import seaborn as sns\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis\n", - "from sklearn.metrics import confusion_matrix, classification_report, precision_score, roc_curve, auc, log_loss\n", + "from sklearn.metrics import classification_report, plot_roc_curve, auc, log_loss\n", "from sklearn import preprocessing\n", "from sklearn import neighbors\n", "\n", @@ -708,7 +708,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 158, "metadata": {}, "outputs": [], "source": [ @@ -720,10 +720,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 159, "metadata": {}, "outputs": [], "source": [ + "# 95% confidence elipse\n", "eigen_values, eigen_vectors = np.linalg.eig(cov)\n", "lambda1, lambda2 = eigen_values\n", "\n", @@ -740,7 +741,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 160, "metadata": {}, "outputs": [], "source": [ @@ -753,11 +754,11 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 161, "metadata": {}, "outputs": [], "source": [ - "def bayes_regions(mu1, mu2, mu3, cov, N, X, pi1=1, pi2=1, pi3=1):\n", + "def bayes_regions_lda(mu1, mu2, mu3, cov, N, X, pi1=1, pi2=1, pi3=1):\n", " inv_cov = np.linalg.inv(cov)\n", " delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mu1)) - 1/2*np.dot(mu1, np.dot(inv_cov, mu1)) + np.log(pi1)\n", " delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mu2)) - 1/2*np.dot(mu2, np.dot(inv_cov, mu2)) + np.log(pi2)\n", @@ -771,11 +772,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 162, "metadata": {}, "outputs": [], "source": [ - "def bayes_lines(mu1, mu2, mu3, cov, N, xs):\n", + "def bayes_lines_lda(mu1, mu2, mu3, cov, N, xs):\n", " inv_cov = np.linalg.inv(cov)\n", " x_coef_12, y_coef_12 = np.dot(inv_cov, mu1-mu2)\n", " cte_coef_12 = -1/2*np.dot(mu1+mu2, np.dot(inv_cov, mu1-mu2))\n", @@ -797,17 +798,17 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 163, "metadata": {}, "outputs": [], "source": [ - "bayes_region1, bayes_region2, bayes_region3, bayes_delta1, bayes_delta2, bayes_delta3 = bayes_regions(mu1, mu2, mu3, cov, N_points_grid, X)\n", - "bayes_line_12, bayes_line_13, bayes_line_23, bayes_center_idx = bayes_lines(mu1, mu2, mu3, cov, 100*N_points_grid, x_lines)" + "bayes_region1, bayes_region2, bayes_region3, bayes_delta1, bayes_delta2, bayes_delta3 = bayes_regions_lda(mu1, mu2, mu3, cov, N_points_grid, X)\n", + "bayes_line_12, bayes_line_13, bayes_line_23, bayes_center_idx = bayes_lines_lda(mu1, mu2, mu3, cov, 100*N_points_grid, x_lines)" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 164, "metadata": {}, "outputs": [], "source": [ @@ -827,17 +828,17 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 165, "metadata": {}, "outputs": [], "source": [ - "lda_region1, lda_region2, lda_region3, lda_delta1, lda_delta2, lda_delta3 = bayes_regions(est_mu1, est_mu2, est_mu3, est_cov, N_points_grid, X, pi1, pi2, pi3)\n", - "lda_line_12, lda_line_13, lda_line_23, lda_center_idx = bayes_lines(est_mu1, est_mu2, est_mu3, est_cov, 100*N_points_grid, x_lines)" + "lda_region1, lda_region2, lda_region3, lda_delta1, lda_delta2, lda_delta3 = bayes_regions_lda(est_mu1, est_mu2, est_mu3, est_cov, N_points_grid, X, pi1, pi2, pi3)\n", + "lda_line_12, lda_line_13, lda_line_23, lda_center_idx = bayes_lines_lda(est_mu1, est_mu2, est_mu3, est_cov, 100*N_points_grid, x_lines)" ] }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 166, "metadata": {}, "outputs": [], "source": [ @@ -846,27 +847,25 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 167, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Bayes accuracy: 95.0%, 85.0%, 80.0%\n", - "LDA accuracy: 95.0%, 95.0%, 75.0%\n" + "Bayes accuracy: 100.0%, 85.0%, 85.0%\n", + "LDA accuracy: 95.0%, 95.0%, 80.0%\n" ] }, { "data": { - "image/png": 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\n", 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" + ], + "text/plain": [ + " Real \n", + " No Yes Total\n", + "Predicted No 9645 254 9899\n", + " Yes 22 79 101\n", + " Total 9667 333 10000" + ] + }, + "execution_count": 169, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "def generate_LDA(mean1=-2, mean2=1, mean3=2, sigma1=0.5, sigma2=0.5):\n", - " mean1 = mean1*np.array([1, 1])\n", - " mean2 = mean2*np.array([1, 1])\n", - " mean3 = mean3*np.array([1, -1])\n", - " cov = np.array([[sigma1, 0], [0, sigma2]])\n", - " N = 500\n", - " K = 3\n", - " # if you sample from a t-distribution, the LDA results are really bad\n", - " def multivariate_t(means, S, N):\n", - " df = 1\n", - " m = np.asarray(means)\n", - " d = len(means)\n", - " x = np.random.chisquare(df, N[0])/df\n", - " z = np.random.multivariate_normal(np.zeros(d), S, N)\n", - " return m + z/np.sqrt(x)[:,None]\n", - " sample1 = np.random.multivariate_normal(mean1, cov, (N,)) \n", - " sample2 = np.random.multivariate_normal(mean2, cov, (N,)) \n", - " sample3 = np.random.multivariate_normal(mean3, cov, (N,))\n", - " \n", - " maxX = np.max([sample1[:,0], sample2[:,0], sample3[:,0]])\n", - " minX = np.min([sample1[:,0], sample2[:,0], sample3[:,0]])\n", - " maxY = np.max([sample1[:,1], sample2[:,1], sample3[:,1]])\n", - " minY = np.min([sample1[:,1], sample2[:,1], sample3[:,1]])\n", - "\n", - " # priors\n", - " pi1 = pi2 = pi3 = N/K\n", - "\n", - " # grid of points to plot the bayes and LDA regions/lines\n", - " N_points_grid = 200\n", - " xx, yy = np.meshgrid(np.linspace(minX, maxX, N_points_grid), np.linspace(minY, maxY, N_points_grid))\n", - " X = np.c_[xx.ravel(), yy.ravel()]\n", - "\n", - " # Bayes regions\n", - " inv_cov = np.linalg.inv(cov)\n", - " delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mean1)) - 1/2*np.dot(mean1.T, np.dot(inv_cov, mean1)) + np.log(pi1)\n", - " delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mean2)) - 1/2*np.dot(mean2.T, np.dot(inv_cov, mean2)) + np.log(pi2)\n", - " delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mean3)) - 1/2*np.dot(mean3.T, np.dot(inv_cov, mean3)) + np.log(pi3)\n", - " region1 = np.logical_and(delta1_fun(X) > delta2_fun(X), delta1_fun(X) > delta3_fun(X))\n", - " region2 = np.logical_and(delta2_fun(X) > delta1_fun(X), delta2_fun(X) > delta3_fun(X))\n", - " region3 = np.logical_and(delta3_fun(X) > delta1_fun(X), delta3_fun(X) > delta2_fun(X))\n", - "\n", - " # LDA prediction\n", - " est_mean1 = 1/N*np.sum(sample1, axis=0)\n", - " est_mean2 = 1/N*np.sum(sample2, axis=0)\n", - " est_mean3 = 1/N*np.sum(sample3, axis=0)\n", - " est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False))/K\n", - " inv_est_cov = np.linalg.inv(est_cov)\n", - " est_delta1_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean1)) - 1/2*np.dot(est_mean1.T, np.dot(inv_est_cov, est_mean1)) + np.log(pi1)\n", - " est_delta2_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean2)) - 1/2*np.dot(est_mean2.T, np.dot(inv_est_cov, est_mean2)) + np.log(pi2)\n", - " est_delta3_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean3)) - 1/2*np.dot(est_mean3.T, np.dot(inv_est_cov, est_mean3)) + np.log(pi3)\n", - " est_region1 = np.logical_and(est_delta1_fun(X) > est_delta2_fun(X), est_delta1_fun(X) > est_delta3_fun(X))\n", - " est_region3 = np.logical_and(est_delta3_fun(X) > est_delta2_fun(X), est_delta3_fun(X) > est_delta1_fun(X))\n", - "\n", - " ### Plot Bayes regions and LDA lines\n", - " fig = plt.figure(figsize=(8,8))\n", - " ax = plt.subplot(1,1,1)\n", - "\n", - " # Bayes regions\n", - " plt.contourf(xx, yy, region1.reshape(xx.shape), alpha=0.5, colors='g', levels=[0.5, 1.0])\n", - " plt.contourf(xx, yy, region2.reshape(xx.shape), alpha=0.5, colors='orange', levels=[0.5, 1.0])\n", - " plt.contourf(xx, yy, region3.reshape(xx.shape), alpha=0.5, colors='b', levels=[0.5, 1.0])\n", - "\n", - " # Samples\n", - " ax.scatter(sample1[:,0], sample1[:,1], s=20, c='green', marker='o', label='1')\n", - " ax.scatter(sample2[:,0], sample2[:,1], s=20, c='orange', marker='o', label='2')\n", - " ax.scatter(sample3[:,0], sample3[:,1], s=20, c='blue', marker='o', label='3')\n", - " ax.set_xlabel('X1');\n", - " ax.set_ylabel('X2');\n", - "\n", - " # LDA lines\n", - " plt.contour(xx, yy, est_region1.reshape(xx.shape), alpha=0.5, colors='k')\n", - " plt.contour(xx, yy, est_region3.reshape(xx.shape), alpha=0.5, colors='k');\n", - " \n", - " # statistics\n", - " pred_green = sum([np.logical_and(delta1_fun(x) > delta2_fun(x), delta1_fun(x) > delta3_fun(x)) for x in sample1])/N*100\n", - " pred_orange = sum([np.logical_and(delta2_fun(x) > delta1_fun(x), delta2_fun(x) > delta3_fun(x)) for x in sample2])/N*100\n", - " pred_blue = sum([np.logical_and(delta3_fun(x) > delta2_fun(x), delta3_fun(x) > delta1_fun(x)) for x in sample3])/N*100\n", - " print('Bayes accuracy: ', np.round(pred_green, 1), np.round(pred_orange, 1), np.round(pred_blue, 1))\n", - " est_pred_green = sum([np.logical_and(est_delta1_fun(x) > est_delta2_fun(x), est_delta1_fun(x) > est_delta3_fun(x)) for x in sample1])/N*100\n", - " est_pred_orange = sum([np.logical_and(est_delta2_fun(x) > est_delta1_fun(x), est_delta2_fun(x) > est_delta3_fun(x)) for x in sample2])/N*100\n", - " est_pred_blue = sum([np.logical_and(est_delta3_fun(x) > est_delta2_fun(x), est_delta3_fun(x) > est_delta1_fun(x)) for x in sample3])/N*100\n", - " print('LDA accuracy: ', np.round(est_pred_green, 1), np.round(est_pred_orange, 1), np.round(est_pred_blue, 1))" + "classification.get_confusion_matrix(lda, X, y, labels=['No', 'Yes'])" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Real \n", + " No Yes Total\n", + "Predicted No 0.998 0.763 1.76\n", + " Yes 0.002 0.237 0.24\n", + " Total 1.000 1.000 2.00" + ] + }, + "execution_count": 170, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "classification.get_confusion_matrix(lda, X, y, labels=['No', 'Yes'], norm=\"true\").round(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " No 0.974 0.998 0.986 9667\n", + " Yes 0.782 0.237 0.364 333\n", + "\n", + " accuracy 0.972 10000\n", + " macro avg 0.878 0.617 0.675 10000\n", + "weighted avg 0.968 0.972 0.965 10000\n", + "\n" + ] + } + ], + "source": [ + "y_pred = lda.predict(X)\n", + "print(classification_report(y, y_pred, target_names=['No', 'Yes'], digits=3))" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "metadata": {}, + "outputs": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_roc_curve(lda, X, y);" ] }, { @@ -1128,93 +1244,125 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 4.4.4 Quadratic Discriminant Analysis" + "### 4.4.3 Quadratic Discriminant Analysis" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 176, + "metadata": {}, + "outputs": [], + "source": [ + "mean1 = np.array([-1, -1])\n", + "mean2 = np.array([1, 1])\n", + "cov1 = np.array([[1, 0.4], [0.4, 1]])\n", + "cov2 = np.array([[1, 0.4], [0.4, 1]])\n", + "cov3 = np.array([[1, -0.4], [-0.4, 1]])" + ] + }, + { + "cell_type": "code", + "execution_count": 179, "metadata": {}, "outputs": [], "source": [ - "def plot_QDA(mean1=-2, mean2=1, sigma1=1, sigma2=0.5):\n", - " mean1 = mean1*np.array([1, 1])\n", - " mean2 = mean2*np.array([1, 1])\n", - " cov1 = np.array([[sigma1, 0], [0, sigma1]])\n", - " cov2 = np.array([[sigma2, 0], [0, sigma2]])\n", + "N = 500\n", + "K = 2\n", + "sample1 = np.random.multivariate_normal(mean1, cov1, (N,)) \n", + "sample2 = np.random.multivariate_normal(mean2, cov2, (N,)) " + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": {}, + "outputs": [], + "source": [ + "def bayes_regions_qda(mu1, mu2, cov1, cov2, N, X, pi1=1, pi2=1):\n", " inv_cov1 = np.linalg.inv(cov1)\n", " inv_cov2 = np.linalg.inv(cov2)\n", + " delta1_fun = lambda Xin: -1/2*((Xin-mean1).dot(inv_cov1)*(Xin-mean1)).sum(axis=1) + np.log(pi1)\n", + " delta2_fun = lambda Xin: -1/2*((Xin-mean2).dot(inv_cov2)*(Xin-mean2)).sum(axis=1) + np.log(pi2)\n", + " region1 = delta1_fun(X) > delta2_fun(X)\n", + " region2 = delta2_fun(X) > delta1_fun(X)\n", + " \n", + " return region1, region2, delta1_fun, delta2_fun" + ] + }, + { + "cell_type": "code", + "execution_count": 225, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_QDA(mean1, mean2, cov1, cov2, ax):\n", + " \n", + " # grid of points to plot the bayes and LDA regions/lines\n", + " N_points_grid = 200\n", + " xx, yy = np.meshgrid(np.linspace(-4, 4, N_points_grid), np.linspace(-4, 3, N_points_grid))\n", + " X = np.c_[xx.ravel(), yy.ravel()]\n", "\n", - " N = 500\n", + " N = 100\n", " K = 2\n", " sample1 = np.random.multivariate_normal(mean1, cov1, (N,)) \n", " sample2 = np.random.multivariate_normal(mean2, cov2, (N,)) \n", - " maxX = np.max([sample1[:,0], sample2[:,0]])\n", - " minX = np.min([sample1[:,0], sample2[:,0]])\n", - " maxY = np.max([sample1[:,1], sample2[:,1]])\n", - " minY = np.min([sample1[:,1], sample2[:,1]])\n", "\n", " pi1 = pi2 = N/K\n", "\n", - " # grid of points to plot the bayes and LDA regions/lines\n", - " N_points_grid = 150\n", - " xx, yy = np.meshgrid(np.linspace(minX, maxX, N_points_grid), np.linspace(minY, maxY, N_points_grid))\n", - " X = np.c_[xx.ravel(), yy.ravel()]\n", - "\n", - " delta1_fun = lambda Xin: -1/2*((Xin-mean1).dot(inv_cov1)*(Xin-mean1)).sum(axis=1) + np.log(pi1)\n", - " delta2_fun = lambda Xin: -1/2*((Xin-mean2).dot(inv_cov2)*(Xin-mean2)).sum(axis=1) + np.log(pi2)\n", - " region1 = delta1_fun(X) > delta2_fun(X)\n", - " region2 = delta2_fun(X) > delta1_fun(X)\n", + " bayes_region1, bayes_region2, bayes_delta1, bayes_delta2 = bayes_regions_qda(mean1, mean2, cov1, cov2, N_points_grid, X, pi1, pi2)\n", "\n", " # prediction\n", " est_mean1 = 1/N*np.sum(sample1, axis=0)\n", " est_mean2 = 1/N*np.sum(sample2, axis=0)\n", " est_cov1 = np.cov(sample1, rowvar=False) \n", " est_cov2 = np.cov(sample2, rowvar=False)\n", - " inv_est_cov1 = np.linalg.inv(est_cov1)\n", - " inv_est_cov2 = np.linalg.inv(est_cov2)\n", - " est_delta1_fun = lambda Xin: -1/2*((Xin-est_mean1).dot(inv_est_cov1)*(Xin-est_mean1)).sum(axis=1) + np.log(pi1)\n", - " est_delta2_fun = lambda Xin: -1/2*((Xin-est_mean2).dot(inv_est_cov2)*(Xin-est_mean2)).sum(axis=1) + np.log(pi2)\n", - " est_region1 = est_delta1_fun(X) > est_delta2_fun(X)\n", - "\n", - " fig = plt.figure(figsize=(8,8))\n", - " ax = plt.subplot(1,1,1)\n", + " qda_region1, qda_region2, qda_delta1, qda_delta2 = bayes_regions_qda(est_mu1, est_mu2, est_cov1, est_cov2, N_points_grid, X, pi1, pi2)\n", "\n", " # Bayes regions\n", - " plt.contourf(xx, yy, region1.reshape(xx.shape), alpha=0.5, colors='g', levels=[0.5, 1.0])\n", - " plt.contourf(xx, yy, region2.reshape(xx.shape), alpha=0.5, colors='orange', levels=[0.5, 1.0])\n", + " ax.contourf(xx, yy, qda_region1.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", + " ax.contourf(xx, yy, qda_region2.reshape(xx.shape), alpha=0.1, colors='blue', levels=[0.5, 1.0])\n", "\n", " # Samples\n", - " ax.scatter(sample1[:,0], sample1[:,1], s=20, c='green', marker='o',)\n", - " ax.scatter(sample2[:,0], sample2[:,1], s=20, c='orange', marker='o',)\n", + " ax.scatter(sample1[:,0], sample1[:,1], s=20, c='orange', marker='o',)\n", + " ax.scatter(sample2[:,0], sample2[:,1], s=20, c='blue', marker='o',)\n", " ax.set_xlabel('X1');\n", " ax.set_ylabel('X2');\n", "\n", - " # LDA lines\n", - " plt.contour(xx, yy, est_region1.reshape(xx.shape), alpha=0.5, colors='k');\n", + " # lines\n", + " ax.contour(xx, yy, qda_region1.reshape(xx.shape), alpha=0.5, colors='green');\n", + " ax.contour(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.5, colors='purple');\n", " \n", - " pred_green = sum(delta1_fun(sample1) > delta2_fun(sample1))/N*100\n", - " pred_orange = sum(delta2_fun(sample2) > delta1_fun(sample2))/N*100\n", + " ax.set_xlim(-4, 4)\n", + " ax.set_ylim(-4, 3);\n", + " \n", + " pred_green = sum(bayes_delta1(sample1) > bayes_delta2(sample1))/N*100\n", + " pred_orange = sum(bayes_delta2(sample2) > bayes_delta1(sample2))/N*100\n", " print('Bayes accuracy: ', np.round(pred_green, 1), np.round(pred_orange, 1))\n", - " est_pred_green = sum(est_delta1_fun(sample1) > est_delta2_fun(sample1))/N*100\n", - " est_pred_orange = sum(est_delta2_fun(sample2) > est_delta1_fun(sample2))/N*100\n", - " print('LDA accuracy: ', np.round(est_pred_green, 1), np.round(est_pred_orange, 1))" + " est_pred_green = sum(qda_delta1(sample1) > qda_delta2(sample1))/N*100\n", + " est_pred_orange = sum(qda_delta2(sample2) > qda_delta1(sample2))/N*100\n", + " print('QDA accuracy: ', np.round(est_pred_green, 1), np.round(est_pred_orange, 1))" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 226, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bayes accuracy: 91.0 87.0\n", + "QDA accuracy: 91.0 87.0\n", + "Bayes accuracy: 87.0 93.0\n", + "QDA accuracy: 86.0 94.0\n" + ] + }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6e3ffe5ce9b04013a5b8426437b0f6a5", - "version_major": 2, - "version_minor": 0 - }, + "image/png": 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Sxo0bAxAcHEzt2rVJSkqSyxzZ6B7bkQ0jFxITWpVMXQYvbJ/IjCNf2hRFDooMYdCSiVS5vyYY4dSCg2x4bBH63NLHgAvMuCqfzp6CFk9GKxwttAkPh3feKb7944/NEeiCBAbCrFmiH3R5QOi2dyNnLUXBiLIrC/yeeQb8/OSL7NrynYrWnuUPrwhRJiYmcuLECZo3by63KbLQLKoRO+OW0ii8HnmGPP5v38v8cPQzm45VB2noO3cstQc1Akni4obTrBrzE3lptrfBK6+4Kp/OkQeWJwaROPsgbdIEgoIKb1OrQastvM1oNO8rKF+Ud932NryllsJVDnz+eaZPB0mCJ5/0/NAmb/lOBd6H7M5zVlYWzzzzDK+99hrBwcFymyMb1UOrsS1uCbGhMeiNetZfWG7zsUqNim5fDqfxw+1QqBRcP3CZ5UNnknnVtjZ45RVX5NM5I67ujFa4QvSrVwdDkVk+BgO8957I8SvvCN32PrwhP9hVzqal83z5pWP2OBMB94bvVOCdyOo863Q6nnnmGQYNGkTv3r3lNMUrqBQQRrWQaJDgROoRNl1cbfOxkkKi/Zu9aD2lG0qNirRzqRydvtuN1vo+rsin81ZxdYVd1tJLHnxQjO8uzwjd9k68IT/YVXroivO4IgLuDd+pwDuRzXk2mUy8/vrr1K5dm0mTJsllhtfxWde3iQqKIEOXzhMbRzLv+I82HytJEg3GtsI/PBCTCVL+voJBq3ejtfLhipw6V+Qee6u4usoua+klIsevfCJ023txVs9coamO6I6l6zqrX66KgItuGgJryOY8HzhwgGXLlrFnzx6GDBnCkCFD2LZtm1zmeA1tq7Zgx5il1A2rSa4xl7d2/5tP979jcxs6v4r+VGlfE0mSuLYvkTUT5qPL0pZ+oA/hyqIYZ3OPvVVcXWmXcJQF+Qjd9m4c1TNXaaq9umPtus7qlytXBD1RnyLwPSSTlzYHTkxMpEePHmxatYCYqtFym+NxrmemMGDpeA5d/xsFCkbeM5H/6/ANaqW61GONBiO73ljN6YWHMOqNVGoURd+fHyQo0vdzE1NTzSKbW6Ae0t/fLGpyOndytIeyBW+1S0489Z1cu5ZIXFwPNm3aRExMjPsu5EXk6/aCBZuIji4f9+zruENTbfkds+W6jv6ueutzQuDd2KPZshcMCiwTGVyZrWMW07NGR0yYWHR6No9uGEGOLqfUYxVKBR3/bwAtn+uCUqPixvHrLB82k1vnfL9E2FtzjL01OuutdsmFL4xFFwg8iTs01RbdseW6juqXt64ICsoOwnn2YoI0QSwfPoe4hkOQkNh0aSWjVvbgZs6NUo+VJIlWz3bm/g/6ow5Uk3khjZUPzCbpgG+XCXtrjrHAeVzZG9ba+UXbKYGgMHJpqruvK9ItBO5EOM9ejkalYU7/L3iu7aOoFWoOp/zJsBUduJxx0abjG4xpSffpI/Cr6E9OSjZrJswnYf0JN1vtPkREoWziiYiwt65aCARyIpemeuK6vrLy5srAgbuDEAIzwnn2ARSSgo86v8YnXV7HX+nPP2mnGLq8E3+n/GXT8TW616Pf/HEERgajS9ey+el4js/db3MRordRliMKnhY+bxBaT0WExaqFQGAZuTS16HWH909Gnb4PhTbZMwZ4Aa4MHIi0NM8hnGcfQZIk/t1mMnMHfEGoOpRr2YmMWd2TnZc32XR8RPNqDFo6idBalTDm6tk9dS37P9nisw60r0QU7MHTwufp61lz1D0VERarFgKBdeTS1PzrVtMvIHJPLOF/9SJyTyz+SQs8a4gMuDJwINLSPItKbgME9vFA/QFEBlZm5PLHSc5OZfL6YXzY4TuG3zO21GNDY8MYvHQiax9aQOrRq/z17S4yk9Lp/N9BKNVKD1jvXZRWye3JThUFhS+/QnzKFOjUyf0TCD1xvfh48/XUanO0d9q0u9EtT0aEhw4136PoQOJe9ry7nop+lYptD6gcRItnOuEX4i+DVQJvRaFNpuKpySiMOYC5KL7iqclcD+uJURMhr3FuJD9wULArSH7gwF5tcuW5BKUjnGcfpFP1dmwZ/RsDlk7gQloiL+2YzNXsSzzV/GUkSSrx2IDKwQxc9BAbH/+Ny9vPcnbxEXJTsuk5fSTqwNLb4JUVSnLmbPnc1Xha+Dx5PWuOeuPGkJVldmKnTTNvK/h9u0vww8PFw8TdnF97kmB98daYkgSXtv5D+7f7oFRZfmFXBaqp3KQKkqJkLROUHZS5CSBpyHecAZDUKHMTXOY8e2PbTlcGDkRammcRzrOP0rByPXbGxdN/yXiOJp/i0/1vkZR1hbfv+wylouQosjpIQ+/ZY9jx8gr+iT9K4uYzrBw1h75zxxFQKdApu7xRoIpSWtTV0ufPP2929urVc49NnhY+T17PkqMO0Ls3+PnddZb37vX+/3cEthFcpQKhhBbbnnUtnZsnk1n/0C9mT9oCkkIipkddun0xHJWfeESVBwz+NcFUZJiXSWfe7gI8HQyxlfxUMlcEDlx5LkHpCGXyYaqGRLM9bilDlk5ix+W9/HTiW5Kzr/FFt7n4qfxKPFapVtJl2hCCokM58v0fpBy5wrbn4+n70ziH7fFWgSpKaVFXS59rtWZn7/PP3XNPnhY+T17PkqOe/91qbz8vp0yBtWtdf22BPAz8bYLFISmnfzvMn+9tQJ+jAyvlFoY8PQmrTvLrga9Q+1teDZOUCu4Z3Zxmj99f6mqbwPsxaiK4VX8mFU9NBkkNJh236s90SdTZ0ylqttqUHyhwZSqZSEvzHMJ59nFC/UJYO3I+41c9Q/yZtaxKWELy6iRm91lOiF/xyE9BJIVEm5e7cXnnOVKOXCX94i2MBiMKpf11pN4oUNYoLepq6XMwO3ruvKeCwhcUZE5pSE113/fnKaEt6qjn5ZmDjnl5d/cxmYpHor3xxUtgG98d+YzAxCAAooOqMrbBo6iVauqPbkl02xpkXL5l9dhzy49zZslf5FzLoKSRUPs/2sz1Q5epULt4bnU+NXrWJ7q1WLf2BXKj4rge1hNlbgIG/5oYNRF2r2Ra2t/bcoGtBZlcZYtIS/MMwnkuA/ip/Fgw6Fue3zSV74/M48+kHQxb0Zn5fdcQFVylxGMlSaJSoyhSj14l/Vwqm55eTLf/2b9cWppAeVM6R2lR1/zPn3/+bmQ0H3eLbng4bN/uuQi+p4S26ItB376FP893pAtGor3xxUtgG/NOfoc+WA9gHvB0cTVvtv8UpaSASpj/WCA6qBrVOtYmomVVruxMsHr+tHMp3DhxnYQ1J61lfwBwfPY+7n2rN1Xb1yz2mVKtJDimgohcuwFbx3MX3ceoibgTbbZ3JdPa/t6UC+xLQSZByUgmL+1VlpiYSI8ePdi0agExVaPlNscnMJlMfPznt7zzx+fkGfKoFhTLz/1WUy+sQYnH6fP0bHv2d86vOYHJZCKqTQx9fhprV0V8aqq53VlB59nf35zH6kln0B5KE/gzZ8zR0IIOdP49uUvoSvoey5K4/v574Ui0QlH4nkNCzL1fW7SQy0LnuXYtkbi4HmzatImYmOIpDGWRfN3OGpOOKcT8aEnOvoHBZCBIVbyAsCiRAVWY2ed3mzRr+5TlXN2dYLXdplFrQJuWi6SSUFgIBigUCuoOb8J97/RzaLVNYBlbnN7S9rFXB0vbv6DeyPkMOnzY3Bo0I+PutrKgdWUFezRbRJ7LEJIk8Z/2T1M1OJKnN75JYlYCI1Z2Y0aPxbSt2sHqcSo/Fd2+GU7A1LWcmHeQpH2XWDFsNn3njSM4uuTUj3ysRXPBe9+0S4u61qtnznH2ZAGGty0xuovSItGiSty32TBqIVWrRmEymfhk73S+ODCLPENuiceYMHEu4zTDV3SiVoW6SFiOCMeG1OGDDt/Q7ath6DK15pwfC+TcyGbjY4u49U8KxjxDsc8NBh0nfj7AlT0X0QRp7mxXKBU0eaw9tfo2tOOOBWBbZNWWfezVwdL295ZcYGej4N60glveEc5zGWR8k5FUCYpizIp/cSP3OhPWD2Bal1n0rzXc6jEKpYL73u1HUJUKHPhsKzdPJbN86Cz6/TyO8FgK5aFZw5JAHT7s286gq0W3NPHzpiVGd1Pw5UVUiZctQvxCqHC75uL9Tv+hT62uJKRdLPGY1NxbfPDH19zU3uTw9X1W9zt0fS9/p/7FuIaPobCSclE5MJp+sUMZtHQSFzeexqgt7jwnrD3Jxc1nSDtdeJqdyQTJR65wbWJbQmMqFjsuKDqE2N4NRCs9zP2ZCz4bbHF6bdnHXh20ZX9vyAV2plDbVwryywvCeS6j9KzVmU2jFzA4fhKJGVd5ZsuDXMv8iElN/mU1x0+SJJo/1YGAyGD+eGMNWYnprBw+nVH/mktsoxQwablVfya5UXFWr1tUoMqCM+gq0bVF/MLD4Z134M03Qak0P8hd5Uh6c9TCWyJDAtcjSRKdq7enc/X2pe7bvXoH3tz5Cdl6y6WCOqOefVf/4vStv3l3zwtWz6OQFPSoPpAPO35Lpb7F6z5CNRWp+0AzDn25nat7LhT6LOPiLbIS0/j7xz0W2+lJComagxpx35u9USjupnso/VSoC0Swyzr+SQtud8fQ3Hk2VK8eV6re2+ro2uNk+lKbNke0TuRKex/CeS7DNI9qzPa4JfRfPJ6TN87y3t6XuJZ9hVfu/QCFZD3H754RzQmKCmHzU7+RdzObXz8dzuBHVtCo3Um7pz75kqi5E1vFLz4e3njj7sNFqXTN9X0hauENkSGBvDSPaszyB+aUuM/8v5fwn+3/R47OehpIujaTdRd+54+rWy32va8RUosZPZfS+vmuxT4zp3v8yo0T1y2eW5eZx/n4YyRuOlPIeVZolLR+qSsNRrcq0f6ygLWJgNr2PZk2LaJEvbf1mVDUyQTzSqY1h9OXXsDt1Tpn0vm8OWjiywjnuYwTW6E62+OWMnjpRP68dpgfjk4jKfMqn3T9AY3SepSkWqfaDJrZmnWPrCbjRjDx3w8h/VYIbfudsnvqky+JmruwRfzyHeyCURmDAV54wbkIg4haCMoS4xo/QP/aPcjSZVv83IQ5z/rHIwvI0qVb/Pyv3BQGLWtH04jWxT5XKdQ88vmzdFMWT3MzmUwc/Hwb/yw9as63LojBxK5XV3N22XHU/maHPbpdLE0fva/MpXiUNBFw6NCIUvXe1mdCvpNp68t/WX0Bd3QF1xeCJp7AHS8QwnkuB4QHVmLj6F8ZvfxJ1pzfQvy5eSTnXuPH3ksIUgdZPa5Si+ZMfGssCz4eQcqVymxc0JP01Io0vTfWfhvKqKjZii3id+mSuetEUZRK53LE3VWEKCIaArkIC6hIWEBFq5//r8d7dI/twInUf4p9diPnFt//9QvXsq+QdOFqsc9NwI7EDUxp/S7VQ+5qnSQpaBfVic6fDCamSx3SE24WOu7c8r+5eeo6V3aev30iExc3/8P1I1eoO6hJoRSQ0FphVLon0r6b9iJKmwhoi97b+kwQL/+OreCK782Mu14ghPNcTghQB7Bk6I88vfF15hxdxI4rGxi5oitz+62mcoDlKLJRE4Gp0/+YEPAUv34ygstnq7BnXQeSXt5B10+HoNSI/31sxRbxq14djMbixxoMzuWIW3Pc09IcH8IiIhoCb0aSJIbW68fQepY/71u7K2/s+JgcffHUj6SsZK5np/L+ny+ikAqnfMQExzKnzwpi+hc+sUahocnD7dj+0gpunTEXIBry9KRfuMH5Fce5sOZkof2V/iravdWbe4Y1yzcYpcZFOVoewJ0TAYtSXjoQlYa9K7jie3PvC4TwfsoRaqWa73t/RNWgKD7681uOph5k2LKOzOu3htgKtS0ekxsVh7ZXT/q1/Yd1L57i0raLJKw4zt9NqtLssfs8fAe+TWnil+9gP/fcXWdXpYLPPnPuF72o456bC3o9PP64Y46vuwRJRLIFnqJHbCd6xHay+NnFtEQGLZ3IuVuXMBWYIa436jmXfppBy9oTpAopdMy90R35tMsMenz7wJ1tBp2BXa+v5tyKvzEZCrbTM6HP0PLHa6s5+NlWQEJSQp3BTbn3Pz18JsXD0kRAd+CKonNXTCq0F3fomT0ruGWhWN9Z3PkCIZzncoYkSUztOIWqwVG8sOVdzmecYeiKzszp/TvNI9tYPMaoiYDICO7/sCG/959B3q1sUk8medhy5/GEc1baNUoTv3wH+9gx89+bNHGNrQXPO2mSeTBJfqN+ex1fdwiSiGQLvIUaFWLYPW45J2/+U2gAy9HkUzy/+V0ydGlkFsilNplMLD+3kH9unaR5ZOEc6naPdGHww5MwFOgzrcvRsWfqOm6cSCInKdO80QhHv/uD5L+uUCE2DIDA6BCaP9kBlb/ajXfrHAUnAroLZ4vOXTWp0B5KOoenggTh4eaBLHPm3N02Zkz5Cky48wVCTBgsx6z4Zz0TVj1PujadUE1Fvuo2j+41+lndX5+rZ8Ww2aT+fRVJpaDFs51o9UxnnxhvO3cuvP22WcwMBtsF0R6h8wUH0BUTrlw9BbGsTlUszxMGy6puH0o6ypxjv2E03XWGr2ReZ9XZTeiMumKDXVQKNeMbPMGQuqMLbY+UqnLt53Pk3TAXPd44dZ2kfZcwGU13U6MliGhZlXtf641CZS6GCKsfgSbIz3036MU44nS6elKhs9f05LTdsqqr9mLPdEkxYVBgE4Pq9mbdyHkM+30y17KSeWLjSKa2/5KxjR62uH9aloqqL41B938LSD99jUOfbyf7ajodPhjg1eNtf/4ZXn3V/N/5o7YtRVuLirM9zrCvFGe44k3c1e0HRW6ewFdoGdWUllFNC20zmUz878AMph/6CX0Bp1pr0HE16zpzTnzNL6d+LHRMkDqEaSNn0qNGfwCMBiN7pq7j4qYzYDJhMkF2UgbXD1xmzdifyffJg6qE0nfuOCrUrOTeG/VCLK3aleZQu3pSoS1YO8exY9afEfnHuTIaXdq9lJc0OXd1+xLOcznn3qot2R63lH5LxnP2VgJv7H6KpJzLPNfqjUIR5buOZAimvIm8UvdXDGcTOLXgENlJmfSYPsIrlxdTU+Gtt4pvL9rBoqijPHWq+Y+tzrAjoiuHeLnK8XWlIIncPIEvI0kSz7V5lH+1mlQozSNXn8eE1c+y7vy2QpFqEyZSc6/zxMaRVA+tBYBSUhI3ajIPvfkUkiRhMsHfs/Zy8H/bMGj15hYgRkg/d5PfB80gKCLYfFyAmntf70m1+2t59J69AVuCG+6YVFgals9hQpl9GrW6Hrm5dwNNarU5uPPVV66PRpd0L76wSupK3NHtS6RtCAC4npnCgKXjOXT9bxQoGF3/Yf6vwzcoFUqLyz+BGj1f9lrO5fV/YzKaiGhVlb5zxuFfMUC+m7DA4cMwejRkZhbertHA/v1338CL3p9GY/5T8LiS0htuXE3h3o5h5OTerZj394e1ayErq7iDKbd42eq4e8rBt2dpzVcQaRtCtw1GAzsT9xaamJily+a17f/lXIFx5SaTCZVCxYCaI6ld8R4AqgRVo6exPznXzCKUmZjG/o82o83ILXAcqIPU3DOmJX6hZu2NaFGVGt2ttBnxMoqO97YVe1ISfv+9eBH2//5nXV9coUUFz6HX6pnx6MP0aLaLWv86So428M5+fn7mDobuSq2wdC+NG0Pv3ndXYV19TV9GpG0I7CYyuDJbxixmxO+PsuniLhaemsn1rCSm91zApUv+xaKqSj8V0U8Mo2L1YI7P3kvygcssHzaL/vMfJLhqBflupAjVq5s7SxTl3XfvCoW1qLG2SBtTaxEI/6QFNDozmRmPjuGR779GpVahM2gYMwb69i0uwrakeDj6ULEVW97EPengi0E6grKIUqGkS43iXYk6V2vPG7s+5kaOuVf02VsXOJpykuXnFt5Z8VNICtZX68fU+z9DQkFwm8r0aDKSU7MOYrxdgHj98GWyr2VwfPbeO+dWqJU0e/x+7hndAv9KgWiCvTNH2tJ479yoOJuOtWelr1Onwv3z9fqSVxFdoUX557h87ibV/+lGdrYahSGdmY8+zOQfZ6HS+KPTK3jmGZg+3X0pa0XvZfv24o6zq69ZXhDOs+AOwZoglg+fw+S1U/j15Ao2XlrOqJU9+bztcnS6wjl2Oh3UiJWo9EYvgqJD2P/xFtLOpLBsyEz6/DSWyo28I+pUME1BpTKLxnvvwYMP3t3H0vKWwWDeL7/I0Fp6Q8ExtWPbz6ZXoxWcS21AXrvf6TMo3KKDbEn4FQpzTlyXLs49VFyFHDnc5X2QjqD8EBlcmR/6fHzn77m6XB5a8xzbL/0Jtxvk3ci5xcZLK9i9ZOudMeB1KtRn5ke/ExkUBUDm1TQ2PvobmYm3ADAaTGjTcjj8zU7+nr0Xvwr+dPtmOFGt5M2BKhoMsDbe+3pYT5uCBfakV1y6ZF5FzMu7u60kZ9GZ1baix/6x7gbDX/8DjVKL1qBh5qMPc/7rJvxVcSVVGjQC4MsvbbsPR8nX1XxNL+o4O3PN8pI3bQnhPAsKoVFp+GnA/6gSHMWXB2ZxKHk3j+zqyOsfreOD/1S34EhKNHv0PgKjQtj1n1VkX8tk9ei59Jg+gmodLfeO9jS29le2tFTXr1/J4lB0TG1EaArhYUfYeDMJtTrcYkQhKKiwkANkZ8PDD8NnH6XzeKTjDxVXIYr4BALP4a/2Z+Gg6dzKS8NkMmHCxH/3fMO3h+aSa8gGg9mlPpy8l/6/tyX2dq50oDKYV2Z8QB2/+gAYcnVsnbKMa3suoMvWos3IY824+YQ3jAJJQlJINJrQhtqDGnvu3iwEAwwBda2O97ZF5+yp3bDH0XZmta3ose+8A2+/XZtcrUQO5lSNyT/O4vxXDWjWNgKjxnycK4uvS8KSpoP5xcKRa8qdeig3IudZYBGTycSXB2bw2vaPyTHkUCWwOl+2W0FAZjOrjuSVPQlsenwxuTeyUQWq6fDfAXcnaPkAjrxFK7TJRO6Jve3smjEqAjhe7yJtO1Yulss2dao5mm00Fhd0AH8/Iwlf1SMq6Nzd8ylDSW2+EV1oWwfvzH5EmyPnETnPQredwWQysfniTs7eugDApfQrfHFgJtm67Dst8UyYqOhXiX81f5UQv1AAGoY0J/RAAFlJmRz97g9ykjMLnBOUGiUNJ7ah0j2RxHSrR1Bk8J3PXR1JtKaPya0PEHGgdbHt19tfsDv32RZ7bcljdkbzrNXNqNXmmpd8QgPSWPLDHhp17+PQfTiDNRvXr4d6dqbIl9Xng8h5FjiNJEk82+ZRqgRH8ejaV7iWnchjf/Rgeo9fCQ/vbvGYqu1rMmDRBNY9tICsy2nsfHEFOUkZNHv8fp/oBe1I2oC1MbWVoioXiyhMnQpvvGE5Bzuf3DyJHzY8yJtD37270aTD4F/TkVtyGFe3oxMIBPYhSVKxSYgdqrXl033foTPqMAEnU8+QmnODD/e9cmcff6U/r937CYP7jKJar9rsf2cT2jSzl5N1NZ3MxDT+nvEnkkIiICKYnj+OokLNcFZt8uOllySXRhKLrsyZb0yNwpDpkvHetmp20dVHMBeTF3RWnVlts3SsRlM8RUJrCkVdvU+xa1u7D0edakvHWdN0ex1nECuTIHPk+dVXX2Xr1q2Eh4ezcuXKQp+JCIb3sOPiHkaueILk7FQCVcF82GE6w+8Za3X/zKtprBk7j7R/UlEFaxj420TCG0f5hAPtqFhZK/AreL5jx2Cs9a/tDv4aPQlf1SaiQtqdh4qnc57zKfp9lOccN3spi5HnkjQbhG57mhMpZxi+7BGSspIBMJpMZOgyUUkqKmgqEREQxXc9F1HndgePvPRcNjzyK6nHrmHQGTDk6lEFqlD4aTicGsNSHkCPueWoKyKJ1iLP+RFmdxdGW8JauoGrI8/5K41Tp9691pgx5o5NtrygOJoWUdpxrho9Xt4jz7JOthg+fDgzZsyQ0wSBDXSq0Z4to38jtkI1svWZvLRjMt8d/gRr713BVSrQ/MkOKDRKjDoDN8+Yhd1LM4TuEB9vFoQxY8w/f//d9mONmgh0oW2LPQDCw82t7ewRFLWfikNRf5HafCPX21+QzXGGwvY78/0IygZCs72LhpXrsX/8GvZPMP/ZEbeUNlHNMGHiZl4KJ24e4YEVnXl0w0ge2ziS5/dNIuyTGgxb9xg9vxtBQHgghlwD2pvZ1OcUD/MjI1hEY46gVpm4dMk5+/JX5oyKAIzKUIyKgEIRZqMmgmu6thw8HkFqqgu+kFIoWAidkWH+OWWKeXt+ZNbf39yW1N/f9tU2a8eOH292KBcuNLctXbjQ8rXtsdPR+ytoq73PJFvv15cdZ3uRNW2jbdu2JCYmymmCwEYaVq7HjjHx9F8ygWMpJ/lo/xskZJyjb82h1A9rTJXgwm9pEa2qoQn1Jycli12vr0IVoKJmnwYyWV86nugu0aTJ3WhASeh0UK12mEdznEvDVyYoCtyL0GzvI0gTSG1N7J2/bx69iB+PLOBq5jV+/GshqbnJrEuIv/v5xdVMaf0u9es3otuikSStTuD6iRucW/k3UaQQRQr1OM2BzGuoL9Ymu0oUgVEhDtuXGxXH9bCeFiPMni46Ky3dwJb0DmtYK0zPT8k4fNj2VAdH0yI8mU5R3tuLeu9MZYHXUS20CtvjltApph0GDPxyagaT1w+lX3wbdlzeVGjfsLoR9JkzhsCoYHQZWrb8O57jP+83V5J7YQQ6X3QKki86riI8HL74wvyWrrldae3nZ26hp1Z79xu8J74fgUDgPEGaIJ5r8wgfdX2DjaN/oV3VljQMr0vD8LpEBoaTpc/kg70vMWndEMYdHkDlh2vQ49uBVBjdh2QiySAUFUbuV+xhz/MLWdr/R67uu4hRb3RYuy2tzDkaXXUGWzpv5Edmt2+3f6WtpKiuPV0/HJ106Olpra6IYvsqwnkW2EUF/1DWjpjH8Hr9CFD6I0kSqbnJPLJ+GEtOzy+0b0TzagxaMonQWpUw5urZM3Ud+z7eAibvS+HwlOgMHWpexouPh61bYelSOHgQDhwwL+nt3Wtf5CU11RzRcPeSpxihLRD4Hq2im/HHuOUcfXgzRx/ezP4Ja2ge2QiNQoMJI/+kHad/fFs6L2rAseFzePTQZLovfoqqneugClAjIZFzPZO1D85nYacvWTfpF/IKTDh0BnteyF2lc7amG7jDsbcn1cHRtAiRTuE5RLcNgd34q/1ZMOhbjiSf4ErmNZ7Z9CYJaYm8vOMRrmUn8lTzl+8UB4bGhjF46UTWTVxAypGrHJm+i6ykNDp/NBilWinzndzF1u4SrihwsVZZ7c19Nt3dfUMUIgoE7qdqSDQ74+I5mnKSo8kneHHr/5Guu0W69hbzT3zP6dRjNAxvRp8Ph3BfejcyL9/ijzfXkZOcSfbldLIS01g2eCZV769FZMuq1HugucOF4KW9kOdr7eL19XnhP6Eu0zlb0g3clf5gT6qDo2kRJR0ndNZ1COdZ4BBKhZKWUU3MfyKb0H/JeI4mn+LT/W9xLSuRqfd9gVJhdo4DKgcz4NeH2PjEb1zedpazi4+Sm5JDz+9GogpQeU0XjtLEyt2T/+wRNjlykPO/n2PHzH9v0sQ15y3vzfYFAk8SqAmkXdVWtKvaimYRjZh97FfOp11i84Vd7L2+k33Xd7Ho9GxeaPUO97ftRvdfR3L+p6NkX8/k4sbTpP2TSvrZVE4tUJB08BINx7QmsGoFAisH3bmGLUGGkl7I87U2OaMKU146Sq7WtTpXWos7W1baHHVE7WmJ6ujUVUvHCZ11LbKmbbzwwguMGTOG8+fP07lzZ3777Tc5zRE4SNWQaLbHLaVzzL0YMDD3xHc8vSmOPP3dMXrqIA29Z42h7ohmoJBI3HKGlSPnkHszx6tSOKzlcBUcJ6swpKEw5pj/rk2+s48zS4v2drKQKwd5+3bzJMTHH3dNxw058h4FjiM0u2xxb9WWTO/9X1aP+JlX2z1NbGgMlQPDyDHk8NH+1xixogsj9/Ug4vla9PxuJB0/HEhobBgBEcGY9CZOzTvEihFzWNr7Oy5t+wcwO76Re2IJ/6sXkXti8U9aYPX6+WlsBVPWCmrtxWuV0CgLN0v2hM6Vlv7ga52HhM66HjFhUOAy8vR5TFj9LEtPr8FkMtE2qiNz+iy/M/kKwGQ0sf+TLRz9fjcGnZ7Q2pXo9/ODhNYIk9Hy0lGn7yP8r14oDGl3thWc/OfMW70jPTOd7bPpSNTEHb09Dx82P4AyMu5uCwkxP0xbtHDsnN5CWezzXBpCt30brUFLSvYNHlj2KIeTjmM0GdGZdIRpKlE1uDotItoxte1nKHQKdry8gosbT2MymjDqjKgC1HR45346V+vn1OTAglqbnF6Z2GcvkKMNvPO5O/sJ29LX3tU66IlUirKss67EZ/o8C8oWfio/fhn4DU+2mIBSoWRv0g6GrehEUubVO/tICok2L3ej/dTeqPzVpJ+9ycoRc0hL8O5XYIN/TTAVGRd1e/Kfs2/1jkSRnSkMcTRq4o5otyhEFAi8B41SQ9WQaDaPXsSSoT/wvx7vUMmvEmm6W5y4cZQFp2Ywem1Pfjz3BepXK9JnThydPx1MSEwFDDk6dr6+jVUze7NrVXtupdxubyepzZMGbaSg1kaEpjDz0YcJ0GQTEmx0awGcJV20tBLpSh30VARb6KzrEc6zwKUoFUr+1+Nd3uv4En5KP07dPMaQ5fdz5ubJO/tIkkSjCW1pP7UPSn8lOcmZXNr0j4xWl05Jzf6dFVNHhc3SkmdpOOPou0OA818CCn5/ej3s2OH4OQUCgXMEqAPoX6cHT7ScwKbRC3jgnv50qt4OpULJoZQ/+WT/mzyyaShLAxYS0qcyvZbEUalhFEY9HNrclE2/dmfm1Ie5cLIaGTc06Av0oS6Nolo7uuNyDq9Zy8JfFXZ3I7KVM2fghRds00VX6aAnUylEFw7XI5xngcuRJImX2z3Fj70/IkgdRGLWBUas7MreKzsL7RfVujoqfzVGg4kz8UfIS89FoU1Gnb6vUC6xoziSg1zS9XOj4rje/kKxyX/Oiqmzk63s6bPpjKPvLgHu1AkUBZRIrxf5eAKBt9A8qjG/Dv6OzaMX8X7Hl4kOiqCCXwh5hjymHZpKj8VNGbK9I7W+a061zrXxr6hBpTaRdasC8z4ez/RX/83qxzegy9KWfrHbFNXa4AbD3dZPOD4eevcGbRHzrOmiq3TQ03UrjgRbBNYRzrPAbYxr8gBLh/5AJb9K3MhN5qH1A1lzfumdz8PuiaDeyOYolApS/rrCyoHT8F/dyKZCk9JwZDnMlkIXS83+XSGmnhI2Zx19d9h56dLdoTH5iAEsAoF3IUkSL7V7kuOTt3Jgwlq61miPJElk6TK4kHGW8TsG4vdBOCO2TaH3zJEERARgNAaizZJI3PwPK0bOJicl0+brWdJaV5Mf/S3qOEPJuugKHZQjlaI8DzVxNcJ5FriVnjU7s2n0AmJCqpCpy+DfWx5k1tGvMJlMSAqJ9m/1ps3L3VD6KblxTsvst+NIuaiy2M3CVhxZDrOlm0ZJuEJMnRU2WyLtrnD0XS3AIh9PIPAdKviFElshhlUP/MzMvp/yfqeXiA6qTJr2Jk9sHsW35z7lz5iTdFk8hvve6Uv9uJYoNSpSjyaxbPhs0i7ckPsW7mDtBV2jKV0XC+qgI6ucIpXCtxHOs8DtNI9qzPa4JTSoVIc8Qx7v7X2J//vzVTK06eiMOpo/2YGu7zTGL0BLRmpF5rw/gYSTMXYXmuTjyHKYMjfB3L+5IHZe35JT6akJgPZE2r1t+U48RAQC38NP5ceDjR/g5XZPs2XMYmpXrEGOIZv/HX6PF7ZOZOz+vgQNDafjhwNo/04fVAFqMs7dZMWwWVw7mIg2I0/2NqVBQYW7ZuSzaJHtuuhM0Z8tWuypZ4jAPoTzLPAIsRWqs2NsPO2rtsJg0vPDsc/o/GsDev7WjD+v7KDuyI6MfG4JAcE55GYEs3BaHH/vrmmuvLYTRyKZJXXTcBRXVlKXJKCORNq9bfnO2xx6gUBgO/dUqsOOuHjaRjUnSB2IQlJwLv00w1Z05kjyARo92IauXw/Dr4I/OcnZrImby6IuX7Pu4QV25UK7mqws8PMrvM3Pr3jwxRquKPorSYt9rZ90eUI4zwKbSE5WsO+AmuRkx/+XqRQQxsZRCxlYuwcSEjfykjmfcYaJ6wex7NJWwka8w7jXFxJSKRNtjj/Lvh/O4bn2d+FwJJJZUjcNR3BlJXVpAnrsWOGCO/DNnGFvc+gFAlnJS4Wbh80/fYDo4Ei2xS1hz4MrmNnvUypoKpCcc5W4NX14ctMY5oXMpPPsYQRGBGPINZCbksWljWdYPmI22cm250K7kurVoeiAW0myPWXMnUV/YrCJdyOcZ0GpLFjkT2zDSHoNDCe2YSQLfvN3+FwB6gB+G/IDX/Z4hxfaPnYnF/r5bQ/xdVIy0qgDDF40hAp1K2PQSuz7YBN73l+HyWjf8p4jkUxr3TQcwVWiWpqAxsfDpEmQnV34OJEzLBD4MInxsP5e2DXG/DPxd7ktsgk/lR8NwusyttEw1o78meigCDK0t1h1bjE/HvucJxPjuP+XQbT8d0fqDGuKUqPixrEklg+bRVqC53OhnU0Zc2e9hlxTZAW2IZxnQYkkJyuY/FRFcnIUpKUryMlRMPnJik5FoNVKNU+0nMCLjd7k6yYruadCPfIMeXyw7yXePfgJfvU7MSj+EaJax2AyGDn2459sfnYpBq3erus4Esl0VYW3q0S1JAHNd6zz8gp/LnKGBQIfJi8VDr0IhlzQZ5h/HpriMxHofNpVbcX2uKV0qNaGOmGxqBVqjqUeYvzh/lR6tDpdvxjKfe/ezoVOuMWKYbNIOpyIyWTyaC60Mylj7qzX8KZCapF3XRzhPAtKJOGiEo0F5y3hotKp8+ZHs8ePbMa5d3ZSV9MWg8nAjL+/4NnNE1CEqui3YDzVe9QD4Pyyv1kzYb6s+XH24CpRLUlALTnWgYEwa5bIGRYIfJbsSyAV+cWW1ObtPkadsJpsHxvPqUd28FXP9whQBZCQcZZBv7en06L6zK7+I52+GmzOhU7JZk3czyzq9DUbH//No1rvTMqYu+o17HmGuNO5FXnXlhHOs6BEatYwoLXgvNWsYXD4nEWj2dpblbnwf5vpXa0XAMvOLWTCmv5oVVp6/Tia+nEtkRQSV3clsHr8PAx5tkWg5X5btiaq9tgVHm4WrYKMGWPebsmxNhqhSRMXGC8QCOQhsDqYivxim3Tm7T7MI83H8tvg76ioqUi67hYXM86x8NRM3tA9S+c5wwiMDEafpSPj4k0S1pxg+QPuy4V2ZBiXtWNSU82BjOrVXb/aZ4tjbotz6+izUORdW0c4z4ISiYgwMnP6LQICjISGGgkIMP89IsLo8DktRbP9FP68VW82jzSLQyEp2HV1Cw8s70KqNoWOHw6k1sBGSAoFt04lk5F4685x1gTNW96Wi0Y07LUrNdUsnAVZuNC8XbR4EwjKIH7h0HIaKP1BFWL+2XKaebuP069OdzaO/oVJTUbTM7YTCknJrqtbeOJiHPfNG0iDsa2o0esecy7030ksHzaTtPOO5UJbezbYMgyrKNaO8cRzpqSouC3OrTM2irxr6wjnWVAqcSNzuXDiOhtXpnLhxHXiRlpojGkH1qLZdWLh214f8sZ9z6BRaPj7xiGGLe9AQvpZIlvGoFAq0GVpOfLdHxgNRquC5q1vy47YVZp4iRZvAkEZJGYo9N4LHRaaf8YMldsil9Equhk/9v2ENSPm8dZ9z97R+gl/DaDaqw3oPXMM973X93YudBorhs8i6VCiXdew9mxwZBiWtWNuXE1x+XPmzBlzj+kzZ2zbv7Tng7PPQm/Ku/Y2hPMssImICCNtW+ucijgXPJe1aLYkSbzV4QW+7vU+AapAEjLOMnxFF7K764lqXwNMcHrRYTZMnkvQ0ccsiqC3vi07Ypct4iVavAkEZRC/cAhrUSYizpaQJIk3OjzH170+ILCA1h9I+pOGY1vT47sR+FU050KvfXAeCetP2HTekhxkR4ZhWTvmyrnrLn3OvP46dO0Kzz9v/jllSunHlPZ8cPZZKFY3rSOcZ4EslBbNntwsjt8GT6eipiIpOdeYtH0QyndCqDOkMUgSFzddYO77o8nOKNDh/rYIeuvbsiN2CfESCAS+TGkzAiY3G8OiIXe1fsKafqxPWE6N7vXoO28cgZHBaNO1bHk6nuM/7y/1eiU5yI4Mw7J2TNXakRb1PCjI/vziM2dgzpzC2xYuhO++K/m40p4PrngWitVNywjnWSAbpUWz+9XpzvqR86kSHEm6No1/7xjHxUevU/uhpijUCq6crcqsdyaSlhpiPuC2CDrqcLq7wNBRu1wpXo4UyggEAoEj2DojoF/t7qwbOc+s9bo0nt4cx9y/v0e6R0Xv38YSWjMMQ66e3W+vZd+nW0psZVeSg+zIMCxrx1SqUrmYno8ZA3372p9ffOiQ5e0fflj686ik54Orgi9idbM4kknu4fJWSExMpEePHmxatYCYqtFymyOQkXM3L9D71/GczziPChXBmlDu39eBe9e0xJhnJKRSGqNfXEJAn48LDTaxpwo6Pt6cG6ZWm9/Mp01z3xu2O6uzS8I/aQEVT002R2VMWm7Vn+nUIBhByVy7lkhcXA82bdpETEyM3OZ4BKHbgnySkxXENowkJ+dujC4gwMiFE9etBkzO3bxA/yUPcuZWAipJRbA6lKiAKnzZ6mdOPbOX1KNXQSFR74HmdPzvAJRqyy1T72qdGky6YlqXn8KR71DbgrVj8vU8KMjsOOcWWET19zc7tKXp/Jkz5lSNogQFmXOgW7SwyUSryPXM8TXs0WwReRa4BVeM887nzw31ufT+LkxX2qDVSaRp01jVfDmrHliHIkhNxo0wfv74ac6eaVfoOFvflj1dYCjHW7wjhTICgcBBfGy0tlWcuA9HZgTUDotlR1w8baKaAZChTePkrWOM3d2Pal83omqn2mCCM4sPs+HRX9Hl6Cyep7RpsY4Mw7J2TL6eZ2U5nl9cr17xlqQABoNr0g1F5Nj1COdZ4HJcOc47vye09mYUptmbYc3/YMerVFBXZF+9P1kwZgGKMCV5aVrWT/6V00uP2H0Nby0wdCWOFMoIBAIH8JXR2qU5xk7eh6MzAiKCKrN59CK+6vker7X/FxU1FUnNSeKhbQPh7UDqDGsCksSlTWdYOWoOOTeyLZ7HVdNibcXZ/OJp0+DNN0GlMkecRX2LdyOcZ4FLcek477xUEo6dRaO+nVmkC4KDjxO0723+12wRVYOjOBVzku/HfQcREvpsHTtfWsHhb3fdyYmzJY/ZVQWGcg9lKQlHCmUEAoGd+Mpo7dIcYxfchzMzAoI0QTzW/EGmdnyRDaPmUzU4ikxdOs/uHM/FyUk0ffQ+FGolKYevsHz4rEK9/+WipIFWtvLEE3DwoDlVQxTneTfCeRa4FJeN874t7jWvPog2N6/QRzod9GvahO1xS6lXqRZXK1/ly/FfoK9uwKg1cOCTzfzx9mqWLjHa1BzeFUUV3jKUxRqOFMq4C29+yRAInMIXRmvb4hi76D5cMSOgdZXmd7Q+15jLO3ufY1uvbbR7oycqfzXp/9xg+dBZpPx91e5zu5KSBlrZg0ix8A2E8yxwKS4Z511A3CMCE5j56MMEaLIJDTEUil7UqliDHWOW0jaqOWkhaXw+dhoZ92RhMpg4/tMBtj2zBF2u3qY8Zmc6WnjrUJZ88p3Vy6qS8wA9gbe/ZAgETuELo7VLcozzUzmUQS67jxK7KtmYU11Q6/UmPd8e+YjZtWbQ8fNBaEL9yE7KZPWYn0ncftZu+5wlX1+PHSv76X+CuwjnWeBSXDLOu4i4x93/Kxe+aczGBXuKRS8igiqzafSv9K7ZmVz/XP434nOSWqSACRpwgjh+QY05XaE0IbOnwDA/cpqaCps2mfPUCuItolnUWV262rN5gAXx9pcMgcBpfGG0tjUH/9bRu6kc2/pCjTHuvQ87c6rztb5PrS4YMfHbP3N4X/kanX8cSkB4EHm3ctnw6CJOLbbS980NFNTXhx+GnJzCn1tL//PW1TdvtcsbEc6zwOXEDb7MhT2b2bj0nGNLdRbEPSLkGm3vD7XohAdpglg2bDYTGo0ANXw/4FvOtr4ASFTnEvU4DZhcMiiloFi2bg2tWsEbb0BmZuH9vGEoizudVUdE1tbCTCHgAp/G20drW3Lwm0yFY1MLp3JcXAhd1rrnPhzMqQ7SBPH70FlMaPQACknB5sTV/Ov6Q3T8eTAhMRUwZOvY9Z/VHPp6R4m9oF2BJX2VJPDzKzn9z1tX37zVLm9FOM8C13I7mhBxcjhtU5oSkbfU/nM4EL1RK9XM6PcpL937JCqViu2NNqH3y0GScqlVZQl+fkY+/dTkVB5ZUbHU6UCvN7coyic42HuqpN3VRcRRkbWlMFMIuKBM4O2jtYs6+BWbQlFf0wQYstxzH07kVBfUerVCzZGUfTx0fBCtfu5BWMNIjDoDB6dt5Y83V2M02LHiaSeW9NXfH2bPtp7+562rb95qlzcjnGeB63BlpbkD0RuFpOD9Ti/zWbe3uFX9FteirqJEokWSjsltXqZfvzynohGWxLIgQUHw3nveUyXtjjHlzohsaYWZQsAFAg9S0MFXBoGxyAqhMde83R1YSh0x2p5TfUfru7+Nv9Kfs+mnmbB3EK3n9CC6XSwmA5z4+QA7Xlnhtgi0NX1t0sR6+p+3tkX1Vru8GeE8CxynaLGHqyvNHYjeSJLEU60msmDk1+jfSyelyXUUJgWV/gjk8yEvk5Z+yzFbsCyWBTEYoEcP+SPO+bhqNGtBnBXZkgozhYALBDJhyALJr/A2yc+83R3kry4WfF6Y9JC8w+ZTSJLEUy0f4qMur+Gn8CM55xp7M/6g77xxVG5WBUxwdVcCeiuDVJzFEX11R0DDFXirXd6McJ4FjmGp2MPNlebJl2+xb8t5ki/fKnXffnW68/OIr/hs68tkd0sHCcKOVeTbvm+TmHjBoeuHh8M774BGY07PUKvNhYKuckzdgTNdRCzhCpG1VpgpBFwgkInA6qCQCm9TSO7tEhLRCaQCLohJ79BKZftqrfBT+qEz6ph/4ntyyCasQSRIEtlJGZxceNBt0Wd79dUdAQ1X4K12eTPCeRbYj4X0jORtH7LvYADJsd+4pUJ7wXfHiG1Sk14jmxDbpCYLvjtm03H+/v58vOxFpNFajCojlS5VZP6Azzlx3P5JhPHx8PbbZqdZqzWnaBw86DrH1F24sm+oO0VWCLhAIBNydAnJvgSK4lNP7V2pbBXVlIlNR6BUKDmY/CdDV3Qi5tH6VKhVCYPWyN73NrL3w01IuddRp+9DoU124U3Yr6+uDmi4Cm+1y1uR1Xnevn07ffr0oVevXvzwww9ymiKwhyLpGQv+GEPsv07Ra1gssd0nsiDjlEsrtJMv32Lyqx3J0QaSllOBHG0gk1/taFMEGkChUPDujGep9Jw/erWeiqkVWD18Lru3brTZhoL5uFlZZud56lTzZ+Wtob07RVYIuPcjdNvLsLFXcqk42yXEXjtctFKpkBR83v0d3uv4En5KP07fPMbYA31pOOt+IltWw2QwcvT7Xfwx8Qkq7O9D5J5Y/JMW2HUNV+Otg1C81S5vRDbn2WAw8O677zJjxgxWrVrFypUr+eeff+QyR2AreamgTQOjuXdycnplJv840+zYZqjN47ifiSFZ38plUYuE0zfRKAuLrFqpI+H0TbvO88I7D1P/46rk+ecRlBnIn4+sZ9mv87mRm4LBWPIQF5GPWxh3iqwQcO9F6LaXYWev5FJxtEuII3a4MNotSRIvt3uKGX0+IUgdxOWsi4zd1ZeIL2pTvWsNMBr4e1djFn3cF322joqnJrs8Ai0oX8jmPB85coTY2FiqV6+ORqNhwIABbNq0SS5zBKWRlwqnvoB1bWHf42AygqQi4Ubj4o6tI+O4geRkBfsOqElOLvy/Zc17wtAaCnuuOoOamveE2X2Nhx4dTpc5zcgJzsE/158L/znKYy8PZeTKbqTkWBdTkY8rEAjd9ipc2d1ILjtc3BN7bONhxA/7kUp+YdzMTWHy9mHoX7hMs07HkSQ4f7wWe9a1A0mNMjfBqWsJyjeyOc9JSUlER0ff+XtUVBRJSUlymSMoicR4WHcvnPgEjHlmgTTpQFJRs/czaAkptLvd47iBBYv8iW0YSa+B4cQ2jGTBb/53PouoVpGZH+40j+gOSCNAk83MD3cSUa2iQ7fTb2BXRq3sQWZ4Jhq9hi7LO5G2JZlhyzpyIe2cxWPcmY+bmgrbtpn/iLZsAm9G6LYX4eruRnLZ4eKe2D1iO7F59EJiQqqQqctgysEPUQ7YQkBwDiYkki5EYjLqMPjXdMn1BOUTUTAoKJn8qELRHqAACjURVfwdH8d9O0cu+fItJj9VkZwcBWnpCnPqx5MVC0Wg455owoVjCWz87RgXjiUQ90QTp26rbZtmPLpkGMoQBRqThjqX6nA+4wzDVnThr+v7LR7jjnzc+HjzpMKxY81/WrUSg0EEAoENuLm7kc/ZUYBmUY1YNOg7Qv2CyTVq2R7VmcpVU8Gk4OSBhixZ+h56ZTgKbbJbigjtQUxU9U1kc56joqK4du3anb8nJSURFRUllzkCa1iKKuRzWyDjRuZy4cR1Nq5MtX0cd4EcuYTfHis59eO2kx1R2UDbbrUcjjgXpfY91akYHorSqKDdybY0uNyA5JwrjF3Th80X11g8xpl83KIimV+EWDAdRK+HF14QQirwToRuexFydMjwZjuKULNidYLVQRhMBuZe/ZPK346karsITCY/Tv6exZaHphG2vTbhf/WSrYhQTFT1XWRznps2bUpCQgKXLl1Cq9WyatUqunfvLpc5AmtYiioAKPwKCWREhJG2rXW2R5wL5MjVrHQKrbZwmsed1A9HClFsrPr2C9Uw+JtOBIT7Y0qDsQvG0P70vaRrb/HExpEsOD6r9GvZiCWRvHQJFBZ+A5XK8luIKPBuhG57GS7OGfZ5OwoQFRTBt73+j1BNKCm5SYzfPR7NR7WoPbgxAOe3ZfDz/w1Dm5GLwpjj8SJCMVHVt5HNeVapVLz11ls88sgj9O/fn379+lGvXj25zBFYo2hUQeEPDV6GPvvuCKS1Qj+rFIlmR4SmMPOJpwnwNxRO/QhNtr8QxU5nu1aXaoxf2Z/QmCCM2Sb6xfej76Ge5BhyeH33U/zvwHtON9i3JpJBQWC08K5hMHh/IaJYaiyfCN32QhzNGXakxV1Jx7g4d9kVDKrbm3Uj5xEdFEG69hZPbRvD1Sdu0Wx8LAqlkcunazJ96uNcSY7yeBGh6ODk26jkvHiXLl3o0qWLnCYIbCFmqHkaVPYlcyS6gDguWOTP5KcqolGDVgczp98qPW3DQjQ77v6F9PzXSyRci6BmDYM5gn0z38kucL78QhRLAl0wop1/zKEpZttLEPToJuFM2jCI+cPWknLqFu3XdKBiZiV+7fgbnx96j0uZFxnbYDJVg2sQHVS15HuzQL5I5ha4DbUacm7d5Iv3b/DvV2uj05mne6lU8Nln3t2mLT7e/DKgVptXCKZNE/2YyxNCt8sAifFmrZTUZi1uOa1wtDgvtbjel3aMgyQnK0i4qLyr+y7m3qot2R63lH5LxnP2VgJv/vk0zw16jojdWm6dDOPq5Sq0fXE/nzzxGt3b1XT59a0hOjj5NqJgUGAbFqIKycmKUgv9rJ7LQo5cRLWKhVM/7C1EcaLqu0JMCBPXDSLm3ihMBqi/rSGPrpuMpJdYdGYOo1f1pO/S1my6uLrUcxXFkkjqtXpaJjXn0ZjWXPo6lt++2cIvv5gnFtriiMoV+RVLjQKBm3DVsBNbrlPSip6l1Ts3tcUrqcuSK6kTVpOdY+JpWKkuepOeWSd/ZsmFfhhRoEFLW/1uHvv+B5IzItxyfUu4e6KqWB10L8J5FjhMwkUlGgvLTjb1eLYlR87eQhQnq74DK/kzfmV/7ulfHQmosq8q/45/iiBdIAaTntTc6zyxcSTzjv9o0/nyKS6SJmY8+jBRwZdQGNKICr7E8EoD6HZfsk3CKWeRiVhqFAjcgKuHnZRESUEGa07yrWMub4vncPDFQSKDKzOgTk8UKMjQZvBXrJYz1EFCojEn6WTa6RIds8dpdddE1blzoU0bGDVKFCK6C+E8CxymZg0DWgvLTiX2eC4YXbElR86eQhQXVH2r/VWMmt+LlhPrIykVhByvyJtLXmXOfZ9TJ6wmucZc3tr9bz7d/45dudAFRfLgpsOM6bi88A425tvJHfkVS40CgYvx9LCTkoIM1hzr/H0sHeMgTgVfHCSuwRDCA8LII4vswWNZXl9POiEoMFFJn+S0jjkS2HD1RNWff4ZXXwWtFrKyzM+I55+HM2dcc36BGeE8CxwmIsJoX49nR6MrJTjZxYoVXVD1rVAqGPBFR7q80hKVn5LsU3kkPZbNqnY/0yqyKXqTnq8Pf8DLOx5Hb9TbfN58kQyrGgMmbeEPTbY17Zc78uvupUaBoNzh6WEnJQUZrDnWFZu4vB2dQ8EXJ2kR1YT1o34hNrQaUmAm2iGPk14hAwm4R32e87O3OFwgbimwUdBp9cQwrNRUeOut4tu1WujdW0SgXYlwnssKnsqXK4LNPZ7dEF2xmi/ngqpvSZLo/J9W9P/sPtRBatIuZLJs6E7m1f2WnrEdMWFi0enZPLp+BDm6HLvObdREcKv+TIyKAIzKUIyKAPPfNaXn23lD5NddS40CQblEjiEj1oIMJTnWrmpHl9+3PzTZ8QFbONDl6TZNIxqyMy6e+pVqIwXmsfaJmYQ2rIRkNHL4653seHkFBp39DrylwEa+0/r6654ZhnXpEmg0lj/TakV9iisRznNZwJP5chawqcdz9iWgyHKcE9EVT+XLtZzQkBFzu+Nf0Y/s6zmsGL+Tua2+Jq7BECQkNl5aweiVPbmZc8Ou8+ZGxXG9/QVSm2/kevsL5EbF2XSct0R+Xb3UKBCUW+QaMmItyFCSk+xsYKLIsyruvoX2D9jC8ULDfIdbk1eNcQ2Ho1IoyQi+QeQ3tajasRaY4PRvf7Hv401235qlwAaYndY5czwzDKt6dfO5rSHqU1yHcJ59HU/nyznKraNgyCq8zYnoiifz5er1rkHnV1qi0CjQZmpJP5/FnAFf8FzbR1Er1BxK2cPQFR2Yd+IHNl1cbfOyn1ETgS60rU0R54KIyK9AUMbwtiEjru7ZnJcKSdvgYPFnVURosu0DtnA8cFLU4Vac60eoJpQcQxbP7nmI4PeiCYmpACZIOXLV7lvMD2xYi/xa4tgxuy9jkw3+/uY5AkUR9SmuQzjPvo6n8+UcIS8Vjk0tvr3JVIfF2dP5ctFNw1FplOizDax9+Q/SL2bxUefX+KTL6/gr/Tmbdoo3dv2LxzY8wIvbH0dnsBCCcCEi8isQuAGZ0t8Azw0ZyXdkk7Z55j7zo817HwFjkciypWdVKf8GjgROLDnc7z/XmTndZlLRL5RMXRoLzs8kqEoFMJm4vj+Rw9/utDv/eehQWL/eNgc6Lw8mTXIufcNSZ4/84MqiRfDf/8q/SllWEc6zryNHvpyt5IugpTZHqmCo2NThU9tdrOgksZ2q0PWt1qgCVNw4k86s3su5djSVf7eZzE8DPqdqcBTBmkD0Jj2Lz8zmkfUPkK3Ltvn8oienQCAzMqe/uRRrDmhiPKxtBbvHmv+sbe3e+yy4MmqwoIdFn1U2/Bs4Ejix5nBXyG5JZGA4JpOJQ8l7qf/ftlSsWxmj1sDhr3aQeuyaHTdrpl49+Pzzwk7rxInF86HB7EA7modcUmeP/ODK+PFildJdCOfZ15ErX640Corgn5NuT/0rgEnvtINvc7HibRwtMAFzAWH7J5sy7Ieu+IVqyLySzc+DVnNu62VG1B/IXxM3sHf8KuIamnOhNyeuYtTKHtzIKV0V5ezbLBAI8J30N1uw5oDmpcLBKWbtzcekM29z131aWhkFUAYWf1bZ+G/gSODEmsNdv5aaZ1s/gp/Sj8TMBCYfGE6dyc1QaJQYdUZunkkGQKFNRp2+D4U22abbLppa98EHcOAAvPceBAQU3teRPGR7WpaKVUr3UKIXkZmZycWLF4ttP3nypNsMEjiAt+XLFRVBYx5gAoUFB9/JZVKbihVx3SSrhkNrMfq33gRFBJB7I49fx6znyMLThAdUom5YLeb0/4IX730ctULNXyl7Gb68I4kZF6yeT+6+zYKyh9BtB3Bl+pucqR8lOaDZl0CykNogKdyX5mdpZVThB/fOKP6ssuPfwN7ASUkO9xMtJ/BM64dRK9Qk5ySRU1eHpoI/hjwDu95YzdUlPxK5J5bwv3oRuScW/6QFNt16Uac1PByGDIGimSCO5CHL3bJUUILzvHr1avr27cu///1vBgwYwJEjR+589uqrr3rEOIEdeCpfzhYsiaAyAFp9AU3fhS5rzaLpoWVSV3fmqHl/FSasHkCFGiHosgys+NdOdk47jMlkQiEp+KDTK3za9U38lf78k36Kocs7cSz5EHqjvlgOnRBBgSsRuu0ggdWLr44Zcu1bHctLhZNfwDoZUz+sOaC3joE2DYwWUhtMRvel+VlaGW31GUR1Kf6ssjMF0dbAST4lOdwtoxqjlJRk6TKYljSVTj8Owj8sAF1mHse+24XCmIPCkIbCmEPFU5NtjkAXxVXdkryhZWl5R2Xtg++//56lS5cSGRnJkSNHePnll5kyZQq9evVyuIm4oJxgSQQNOXDwOVCozZ81eQeOvX37gXVbxA5NgYhOLn8ByM93yynQjjm/wCQiNNn8wAmsXuJ1k5MVJFxUUrOGgYgIIxENwpi0qgO/jNzG9VM5bHn/AGlXs+j30X0olAr+1XoSVYOjeHjNiyRlX2bUqm5U0FSieWRbPusym0B1ICBEUOBahG47Q9Hvx47vKzHenP5gzDP/3eheTbOKRe3NNafOKTSAAXPM7LbDKamhlZvT/GKGmr+D0nQ239E+NMVsl0lXcgpifjS9FO0uSESE0aKz/cA9A9h5aS/f/zWf/Ul/8GXoR3Ss3p68W9mkXq3IzeuhhEWmm3e+PQ3W3i5J+QwdCp06mQMk1as7lk6R74RPmWJ+lul0ohjQ01gNvRmNRiIjIwFo1qwZc+fOZfr06cydOxdJkjxmoMAO5FwuLEjRaIPCD5DMD5T8pcSjb+LKvs8lYbXARL3cpsi3xZSPxHhCj3bloRc/okb9BDAYOfDjCRZP3IQ+z5xTOLx+f1aN+InIwHAy9ZlczrrIqvOLGbmy+51caG/p2ywoGwjddpDsS+bVsYIoA2zTo/xUiXzHuSCe7nxUVHslP3Nk2Zhn1l6T3hzAaPMd3PcL9D3gmTQ/W1dGbU1BdPGqpVKh5LMeU6kdVgOAs2mnaTi+NUp/FRm3KvDTh+NJvxls3tnGabAl4Yo8ZNGyVF6sOs9BQUGF8uYiIyOZO3cumzZt4owYku55SnOMva1SvKAItpttFvOCKDT2dwlx8OWgUL5biIEAfwMzp50k4sK/Si1OsZryse2/YMglwO8G4176mQZt/0YCTi5LYO6Q1eSmmx+kHWLasnXMYp5sMZ4h9fqgVqg5krKPYcs7cDH9PCBEUOA6hG47iDNdi6wVxdlzDleSr711nwDJhDnaXACFBoKqW06d8IYATGmOtpuKO5WSksaV7wEJDif/yfeRX9Pi+S4o1QqyboZy+Xxdu6bBCso2Vp3nqVOnFlvmCw4OZsaMGTzxxBNuN0xQgNIcY2fFxF2CmS+CFZtYeDDpzfnPtnYJcfLlIG5kLhc2z2bjK1248FVd4sJaFl+VtRAlstjiSGUgIbnO3b9rDDzw7Dpaj6+MQqXg0q4kZvdeQcbVTADqh9flq54fsHjID3zW7S1zX+j00wxb3pmj1w8AoiJa4BqEbjuIM12LLDneYC6QlrPz0ZmvwKgtvt2aQ+9FAZgSOyO5abaBJEnM7f8/ulZvjwkTqy8s5VZsOgqNBr3Rj22bH+JS49M2T4N1N6JLk7xYdZ6ffvpp1q9fj8Fw9601JSWFV199lc2bN3vEOAG2OcbOiIknBNPag6nWeNuW6FwRachLJeLCv2hbcxcRgQnmh0rRhv0WHioWUz70SmpGnC20TSFp6fdpR7q+3gqVn5Lkv2/y69iNGPV38+skSeKpVhOZP/ArQtWhXM+5QtyaPmy7tMH2+xAISkDothM42rXIUppaw5ehj43ncEfwwlo0XKGx7NC7MJrrTEtQsKEzkhtnGwSqA5nYdBQqSYXOmMepqOPcM7olCqWS60fS2fzyDqev4QpElyb5sfp/99KlS7l06RJDhw5l9+7d/PTTT4wcOZKWLVuyePFiT9pYvrHFMXZUTDzZ29Tag8mWXDhXRBosnsPP/DApIdJktcVRl1eLvQxI/pXp8EILanWthqSUyLiahTareERq6D19WTNyLlGBlUnT3uTRjQ+w6OQc2+9FILCC0G0ncbRrUUF967MP6j9r2zncFbyw2CJOA13XW3boS9LY9DNwYZH5Zyk42xLUps5Ibp5t0KNGJ2IrVENn0vLJX2/yz+gEwhtHgySRfv4mJqP8hbeiS5P8WO22UaFCBd59911++uknJk2aRGRkJIsWLSI6OtqT9glscYztrVLO545gFojA5gumO5Ya/cIdO68rIg0WHyYSdFkHhqwSK7bjRubSs+v1Qt02YKjFCnJJkqjSIpyzmxLJuJrD4gkbGfVLbzRBhZXuvmpt2Bq3mP6LJ3A+/SKv7HqCa1mXGdVgEhX8KhKgCrT93gSC2wjdlhF79a1g8MLVHYesPRNC61ne35rGnv8ZLi68u63WRGj+gcVTFHR88zsbTX6yIj27Xre5nVyJnZEKnsPWDh4OdOSIDo5k65jFtJs3kMsZ14g/+wvP3TOFlKNXSTubyubn4+n6yWCUGqvuk9sRXZrkx2rkOT09nbfeeoulS5cyY8YM+vTpw6OPPsru3bs9aZ/A1rdsR5YcLQmmMQ+UQa6y3jW4ItJg7Ryh9WyKNFnsKWolStX5Py1pHlcXSQFnt1xhTr8VZCbnUJR7KtVh59h4mkc0Qm/U89mhd+ixuCk9F7e4kwstENiD0G0fwk25u3ew55lgSR8bvFjYcQY4P8dqBNraCOyEi0qL+1vCYpqc1kTNaAt9lUtbJXAiqh8dHEn1kKogwZlbx1E/HUq1TrUAExdWHiVxvbz6LLo0yY9V53nYsGHExsayZMkSOnbsyOuvv87HH3/M//73P1544QVP2iiwVQTtXXIsKJiS3+2NCtjWt7DQlJST56nqbFdMUXT3JMbb34XSeItB33Smw5TmqNRKrh1KZXbPZdw4n1bskPwoR9ca7ZEkiSx9BhczzjJmTR+2XFrrWvsEZR6h2z6EG3N372DPM6GoPmqsHHPzkMXNVluC1jBY3N8ShdLkgvMI0GQz87FHiDjY2r6UFhekJL7X8SUqaiqSlneTJ3aNocrgy6jVOZj0OrLWvG7zpEF3Ibo0yYtV53n+/PlMnjwZleru0kTDhg1ZuHAh7du394hxggK4a4JgzFDzxD/pdh6XMbew0JT09u5svp69jrcrvgN3fY9Fvgvp8jK6vd6GPh+3Rx2o4ua5DGb1WsHlQ9eLHRrqF8KqB35mZt9Peb/jS0QHVSZde5PHN47k15OzXWunoEwjdNuHcHPursM25etjWEvL+1janpdKhOogM79MtDgC2x7iRuZy4a+TbHy1Bxf+F0tcuzn2O78uiOp3i+3AJ11fx0/pR7Yug3TTe1QIT8NkUPDn6racmPa1w5MGXYXo0iQfVp3nknLkRo0a5RZjyi1y99Y0ZN0eZFKA/JGu1t7enX2zd3WhjJzfoZXvQtLeoM3kRgyb1RX/Cn5kJ+Uwb9Aazqy7WOwUfio/Hmz8AC+3e5otYxZTu2INcgzZvLrrSb488L6YDiewCaHbPoa7V8OcIbSeOce5ILUmFs+bLqDlcSH1ubB5jsUR2DZxW8cjVH/Rtu4RIkJT7n5mj/Proqh+04gGaBR+5BnzeDM7i84vzKVixC0MejWHtrZEyjxn1/m8jdRUOHxYdOlwBMd6yQhchzf01rQmNGD97d2ZN3tXd/mQ+zss5btoMKAWcfF9CIoKJC9Ny28TNnHwp+NWT3dPpTrsiIunRURj9EY9nx96j1d3Po3BaPvyp0Ag8BHctRrmCpp/AN23QsvPzT+LFgta0PKIC0/Ttsk1uyPOhXT8z0m3CykLYI/z66Kofpsqzfmk22sEKP04r4dntFlEVk9CwkTmjUASj2nsOp83IfpEO4dwnuXEk63iSsKa0FgcbnJbwFw9kcvRQhlnvkNXRatt+C6qt41i4rqBhNUKRZ9tYPULu9n20QGrEeXo4Ei2xS2hW2wHjBhZcOpHHljelX9vnsCOSxuds1cgEAhsJbQexI6y3KnDVVpeVMeNeYDJPGjGUefXRVH9R5uPo2V0UyQU3DJA+8F/4R+cS15uEBue3sD1w5cdOq+ciD7RziOcZzlxd7W1PVgSmpLe3l09kcvRQhlHv0NXRqtt/C7C61Rg0saBRDerhFFnYvt/D7HymZ0YDZYjNMGaIFYN/4nRDQYhIXEg+Q+Wnf2FyRuG8svxWY7bKxAIyj6eSGVzlZZb0nGFBlp94Zzz66KovlJSgKRAG9SYoFE/03HaCFRBGnSZeVzb73vNlUWfaOeRr1GhwDPV1vZgqU9pSf00be21aek61vpS29uX05Hv0B39VW38LoIjg5i4bhC/xq0nYftVDs09RVZyNg/M6YHav/ivo0alYe6AL4kNrU78mTXcyksjKTuFN3Y/xfWcyzwY+waJiRLVq4uiEYHAK3Gg17DTJMabNa6gvrojn9rRGQNFsaTjhmw4+By0mmZ2gGUkzL8CJkyczTjLNwm7GFptJAqlAjsTU5wmNdXs4Dqr96JPtPOIyLOceGO1tSVKent3xUSu/KiCI9FgR75Dd0X8bfwuNMFq4pb0pdHw2kgSnF57ic3v7LO6v0JS8EHn/3B88lYOT9hAy8gm6E16Pjv4Hs3feJLRcQaRsyYQeCO2aJqrI8SeTgd0RXqEXzg0eae4LhtlSmUswpc93qNBpTpoDVqmHXibIzfMfZ5NRhPX9l6wunroSlyZoyz6RDuPcJ7lxpurrd1NQWfTGcG39zv0goi/SqNk4JcdCa0WBCYTySdv2tRRIzK4MlvHLKZTdEcMehM0n0lm7xHk6nJFzppA4E3YomnuKHaWIx3Q2fSIxHg49jZIyuKfyZXKWIDqodX4rNtUAlWB6I1aUiNuEN22OiBxcd0ptk9Z7taOSO7IURZ9op1DOM/egDdXW9uLo1EUZwXfnu/QSyL+6kAVYbVCwSRxfutV1r22B5OxdAEO1gTxwT3zUZ4aDUjQcAU82BOp6kH2/ZPgdrsFAoEFimpfaZpmzblOP+NcJNodwQF35k8X/B6MFlrbuTKw4cR9aJRqQDL/RS3R88dRRDSvCia4tvcC+mxdicc7g7tylEWfaMeRxXles2YNAwYMoEGDBhw9elQOEwTuoKQoSmmi5QbBT05WsO+AmuRkC/+be0HEX6FUMHJeD2LaRWIymNj77d8seWQTem3pLenq1VKiXjkH/ngOjGqosZuckV147nhrPt3/jugLLXA5QrdLwJL2laZplpxrowm29nYuEu3q4IC7e/Jb+h7A3GlD4cLAhpP3EawJQikp0Bl1/Hz8W9IN6YTVjzRPhk3K4PjP+9ymuyJH2fuQxXm+5557+Oqrr2jbtq0clxe4g5KWKG0RLWuCDw5FChYs8ie2YSS9BoYT2zCSBbOTip/DCyL+ARX9Gb+iP/UH1EACji8+z/xha9BmlhzFiIgwMmt6Ov67P0Sz/UPQhqAK0JFtSOPrwx/w8o7H0RncFwkRlD+EblvBmvZByU6sRec6D4xa53OVXRUc8ERPfkvfA4AkAS5yRl1wH62imvJ4y3GoFCqOpBzg6S1xtHy+ExXqhmPSGjkwbSvnVlrv3+8MIkfZ+5DFea5Tpw61a9eW49ICd2ExeqCA5D9sF62igo/JoUhBcrKCyU9VJCdHQVq6gpwcBZNfqE/y4v7yDKEpBbW/ipHzetJqUn0kpYKE7VeZ1XsZGdeySjwubmQuF08ks/ODcawfsZC5Az6jW437MGFi0enZPLphBDm6HA/dhaCsI3TbCiWlZ5TkxBYNGCg05kirpfM4giuCA57oyQ93vwdl0N39DTnmfs+uKBh0wX0oJAX/7fwa91VrjSRJXM68SEB0MN2+Go461A+j3sitM+4b1y1ylL0LkfMscA3WWg0d+Hfx4IE10SrY0gkcjhQkXFSiKZofptSRcC3aKyq3LaFQKuj/eUe6vNISlZ+S60dvMqvnclJO3yrxuIgII21b6+jVqBlxjYayavjPxDUcgoTEpksrGbWyBzdzbnjmJgSC8khp6RklObEFneuu6++k1Fo8j6M4k6/sqZ78+d9Ds/dBFWx5H2dw0X1IkkSguvALjspfjaQo+g/nHkSOsvfgtj7PEydOJCUlpdj25557jp49e7rrsgK5yI+iHJxSuOjDpLNNtIr2Ja33zG2hLXCufBEt+hAq0ke1Zg0D2qL5YQY1NSMSCp9Djv6rJSBJEp3/04qQqoGsfWkPaRcymd13BaMX9KZGuyibzqFRaZjT/wuqBkfxxf6ZHE75k2HLOzCv/1piQmLdfAcCX0fotgM42+u4YH99V/RMLoiz/Z5d1ccZbHvJiO4BR161vo+juOo+8lLxN+ZhwsS1rCtsurCK+zVdkBQKTHoTCetO0WjivQRUCnTOXoHX4zbnec6cOe46tcBbiRkK6jDY+4g56pyP5AeSCRR+lkXL0tCS019SLGRti9PdchoRMUOZOf0Wk5+siJoMdAY1Mx99mIjQFDD5m89x/mc4+pZ5qdSkd98QAQdoOb4BIVFBLJ28hZzkXH4ZvoYh33eh4cBaNh2vkBR82Pk1qgVF88r2//JP+ikGL7uPxpVa0DSiNc+3egu10kKBjqDcI3TbQRwdGOWu84BlXT34glmjKzax/dyusskWB9aVzrqr7+P2s+ZNJPYqDFzRZ/D81oeY1Xc5DeJacuSH3dw4fo31Dy9g0G8TUagttN0TlBnEhEGBa6nYBIrOXVJI0GUdGLIsi9ad5bwCUWaFGuo9aXairYloCZMC40aG07PrdRL27aTmzeeJqJBmdpxbToMrq+Cv29ENo7bQcd4QgQao27s645b149cx68m8mk38w1vI/L9s2kxuhCSVvkQoSRL/bjOZaiFVeHjNiyTnJLHt8nq2X9nA3yl/Mb3nQgLVIjoiELgMSxNa5TyPJV015pmDGxjtCxi4yiZbHFhXvkAUxdH7KPCsaaGGmVEw8qqJHEMOx5IPMfk/z3DrbAoX1p8mMzEdbUYe/iL6XKaRJed5w4YNdO7cmUOHDvH4448zefJkOczwbdzZd9MZrHXNCK1nPe/P2nJezQdLrhgvpQgkIsJI2/73EzFi9d1zRHSCo28Xt0FSea4Rv43/dtVaRTBp/SAq1Q1Fn2tk3ct72PLefrvaIQ2v358VD8ymY0xbGleuh4TE5sRVjFrZgxs5Xvb/jsCrEbrtY1jrYmHIdv/UwZKwpZDR0WJHdz0XizxrwpVgjiubtViSJPzDhLNcnpAl8tyrVy969erl2Yt6WX6rUzibx+Zu7I0clLZUZ+14W4tACkYbbh6+LYLawvsY8gpXersLO//twmqGMnH9YH55YC3XDqey55ujxLSP4p7eNWy+ZKfq7dgWtxSjycibOz5h2r7v+StlL8OWd2S+yIUW2Igsui1wnIK6iqJwKh1YryHxVUrTVmd8gCLPGjXmTnoGo5FtiesZ3+iJO2ka2vQcLv9xnjoDGzt/TwKvpXx02yjaW/L8PO+M2tqCq/tuugt7IweO9CV1ZBhAYHXAYOEDBWzr695Wdg7+2wVHBNDznXtRByoxaE1c/9ux7hkKScH7nV5mWre38Ff6czb9FEOWdeC5rRP5+vB/RV9ogaCska+rLT8z13cUxJWT++SmNG11dtBLkWdNo0A/+sSYW9Ztu7yOf295kAYPtiIwMhh9jp7tU5ZxafMZl9+mwHso+86zpV+qv/4DO0e5ZlqSp7HWT/nWMVnMcSmOLNXZ63QXFEFFgWU2U577X0Sc6DUa0bAigeEBmPRGdnx0iEO/nHLIBEmSeLrVROYN/JJQdSjXc66y9Mw8Pt3/FpPXDyNbl136SQQCge+QvB0OPQem27USCn/npw46gztSK0rSVlcFnAo8a1R99vHzyHg6VGuDJEkcSz2Ef91ges0YjSbUD0Oenss7zrns9gTeR9l3nq2N/jRkeW/UtiSs9VP+82HfexFwlKLi62iUu/kH7ukpag0neo2GRAcxdmkfKsSGoMsysPqZXez49JDD42CH3dOPVSN+onlkI2pWiAFgS+IaRq7oTmpO8VZlAoHgNt5ab2KJgo6jKc+8zWSAll+YU+s8jatHfedTkra6ctBLgWeNUqEkOigCqUBz7sCoEJSiy0a5oOw7z9aKJvJxp7PkDvIjpwq/wtuNPvgiYA/5D6zzP7tGfPN7ipr0hbe7cynTkTSTAkTUD+PhjYOIbBKGQWtk6wcHWf3iHxgNxtIPtkCHmLYcmLCWU4/s4OV2T6JWqDmSuo/hyztyMf28Q+cUCMo0rnL+nHHA7TnWkuNo0sGhFzy/8urOlMOStNWVg15KQVJIIEmYjJB89Cr6PH3pBwl8krLvPBf6pQou/rkv5n1FdILGb4AyoPB2X3sRsJX8B9bOUfDXK64TXyedWbvIf+BFdLI/t7sAIdFBTFw3kNiO0WA0cWDGCRZP2OiwSEuShFKh5L2OL/NZ97dv50KfZtjyzhy9fsChcwoEZRJXOX/OOOD2HhtY/XYrzyLI0XHDlRFgS1hL4fOAzuv0WvRGPQGVg4jpUhtJkri29yIbH/0Vo96x4IbAuyn7zjMU+KX6FZr/1zPOkrvIF8/j/wVDTuHPfPFFoDQKPrAMWcU/d1Z8HSlUtJeiD7zkHY61YbqNf6gf4+L70nBILSQJTq64wNxBq8hNz3PYREmSeKrlQ/wy8GtCNRW4nnOFuDV9WH1uKedunUZr0JZ+EoGgLOMK588ZB9zhY0tI7fJkwMUTEWBrKXxu0vmmEQ2RJImknCtMWjuETF0GnacNoXq3OkiSRPKRK+SkWHhuCXye8uE8w91fqlrj3e8suQtrjqQq2DdfBGzBWs56Pq4a3eqEM1siblqqVPmpGD67G20fa4RCpeDS7uvM6rWC9CuZTp13yD19WDPiJ6ICK5Omvcm/tzxI//i2jFjZlZScZKfOLRD4NK5w/hx1wPNS4dom8rsL23xs9qXiK5QF8WTAxZMrfdau72Kdf6Xdv3ik6RgUkpJDyXtYcGomCqWCinUjkCTM7y0O1qUIvJvy4zwXxJ3OkjuxJLzKIGj6nu+9CNiKtZx1uV4Y7M1VdONSpUKpoM9H99HtjTao/JUkH7/JrB7LuX7yplPnva9aG7bGLaZOxViMGMgxZHPo+p8MXyZyoQXlGFc4f4444PkrV0ffLL76VtqxJdX8SGrP66cnVvo8iFKh5Nk2j1LBz5wSmqlLN39wu4ZQn6sn7YJjrUUF3k35dJ59FYtCaDAXvvnai4CtWHpgNf+vOQXH0+LrSK6im5cqJUmiwwvNGfx1J/yC1aQnZjGn70oSdl1x6rz3VKrD7geXM6vvNF5p9zQBygDOZZxh6PLOHLm+3yW2CwQ+h7POn70OeKGVqwKrSsog25x3awXmAJJCno4bvhq8soIkFd9Ws08D1CH+6LN1bHzkV67tK4O1SOUc4Tz7EnIte8nVmslakV2t8Z4XX0fTLzz0b9Z0dD1GLehFQCV/clNzWThyPX//7lyf0fCASoxrPJz3Or3ML4O/poKmAsk5V4hb05fNF9e4yHKBwMdw1vmzxwG3tHKlCoZm79vuvMcMhXazQVlkfLRCUzYLzL2AqDbV6T79ATTBGrQZeZxedEhukwQuRjjPvoanl73c1ZfT3us6WWTnNM6kX3jo36x212qMX9mP4OhAtJk61r+ym5ybjhcRFmRw3d6sHfkz0UERpGtv8sSmUfx6crZLzi0QlDtsdcAtrlzp7V9trNgEKNL1oSwWmMuAWlKjkBQYTAY2XFhFel4aAJUbV0Ed4gdIGI2i40ZZQzjP3oI90V1PLXvJNQrcG0eQO5t+4aF/s+imlWkyojaSUkFuuo60SxkuO3e7qq3YOmYxtSvWIMeQzau7nmTsqj78a/ODJKSdddl1BAK34yuDTly5cnXPM+b0DW/oNOUr378NxFaIYULjEagUKo6lHmDS+sHojXdbh5pMkJWUickoCgfLEsJ59gbkiu6Whrv7cnrbdUtC7kpxO6jdIwZ1gBJdho55w9eSeCDJZeeuV6k2O+LiaRHRGL1Jz84rm1h+diHDVnThcNI+l11HIHAb3qq31nB25Sr/fs9MBySo+6S8xXq+9v2XgiRJfNz1DfrV7oZCUnAh/Tzp2jQ0oX5UahiFhImrO86x/cVlDg+0EngfwnmWG2+MsubjwclMpV7XqANtmv3fiysjHD5SKV63Z3WGzeiKfwU/spNymD9kLWfWXHTZ+aODI9kWt4TR9QfRJKI+wepgUnKuMm5tXzZdXO2y6wgENmPr77kr9NbdUVNL53d05aro/Rpz4cyXrrTWOXu86XnnBJIkERkYDgVGdSuUCnp8N5Koe2uACS5sOE3GpVuy2ShwLcJ5lhtvjLLmI1e0teh1JbU5z2/f4/ZFKtwR4fCRSvH6/WsSF9+H4KhA8tK0/DZxEwd/Ou6y8wdrgpg/6BsOT9zA+lHzb+dC3+LJjaP45fgsl11HICgVe37PndVbd0dNXX1+Tz5fbHmp8IbnnQdTRtQBamI6mdPoTEYTJhF5LjMI51lu5Iru2opc0db867b93txSyaS3L1JRRiMc9lC9bRQT1w8krHYo+mwDq1/YzbYPD2BycdP+e6u2ZHvcUuqE1STHmMMbu59i2oF3XX4dgaAY9v6eO6O3zk4HLM1hs+X89jp+nnq+2Or0y/2880DKiNaQR44+2+XnFXgXwnmWG1/IpZUr2uoXDpoK5pZKBbElUuENEQ4voFLtCkzaOIjoFuEYdSa2f3SIlc/sdHnuXZ2wmuwcE0+ryCboTXq+OvQ+L25/lINJe7iW5VzPaYHAKvb+njujt45qiq0OW2nnd8Tx88TzxZ6XClfZ40j02M0BlXZVWqFWqLiZl8KDa/pxNfOyS84r8E6E8+wN+EgurVVKEjJnl8gcjVTIHeHwIoIjApm4ZiC1ulYBExyae4pfx21Al6sv/WA7iAyuzJYxi+lRoyMmTPx25idGr+pJ36Wt2HhhpUuvJRAAjv2eO6q3jlzLHoetpPM74/i5+/li70uFqwog7Y0euzmgMqnpaN6+/3k0Cg3n004z98R3APhVDEBSSOgy89j/2RYMWud1NzUVDh82/xTIg3CevQUfyaUtRklC5oolMkcjFb4Q0fcgmmA1cYv70nhkHSQJTq++yE/9V5J9I8el1wnWBLFi+BziGgzBT6HBYNKTmpvMk5tGM+/4jy69lkDglD7Yq7eOXMseh62k8zvr+Lnz+eLIS4WrCiDteYnwwLTX8U0eoKJ/CAC5BnPqxj2jWxDTtQ4gkbDqJPs/3erUdeLj4d57YcwY88/ff3fOboFjqOQ2QOAAealm0QysLq8zWFDIyDVvOzTl7shXa5/Za3PMUPNx9t6zo8dZoqTv3Fv+PUpBpVEy7IeuBEcHsPfbv7m8L5nZvVfwYHx/KlQPdtl1NCoNcwZ8weMtHuRaVjKv7/gvZ24l8Nbuf3Mt+wpTWr+FZGmmrUDgCK78PXf1tex12Kyd32IHIq13rKTlO/2Hptwu7ta5L1Bx5yUi9+62/JcIWwMqnrCzACp/NV2/GMaSXtPJuppBesINh8+Vmgovvgi5ueY/AFOmQKdOEO69j54yiXCefY3EeLNTWvCXX640j5KELP+/rX1m74POL9wxkXP0uIKU9J1707+HDUgKiV7vtSO0ahCbp+4j5WQaM3suY9ySvkQ1cZ36KiQFHWLuBaBzTDsGLJnAwevH+PrwB1zNuswzLV+hgiaMiv5hLrumoBzjit9zd1zLEYet4PkLvpi3nAYHnjUXTwOYjObJq96gN556gXE2euzJF60CSEoJSen8Qv+lS6BW33Wcwfz3S5eE8+xpRNqGL2HPkpWzuca2HF+SkFn77NYR32qQX9J37qMdPSRJov1TTRnyXRc0wWoyr2az4Y29brteRFBltoz5jV6xnW7nQs+m39I29FjSjPUJy912XYHAK3A0x7do2psuA6QC8S6Tzrv0pmAqhrvawbkiHc9XUySB6tVBV+SxqtOZtws8i3CefQlb896czTW29fiShKzQZ8Hmjhn1X4Jj7/iWs1nSd+7jHT0aD69DeN0KIEncSEhDm6kr/SAHCdIEsWzYbMY2HIpaUpGtz+R69hWe3hzH3OPfi7Z2grKNvQ6bpRfzo2+BoshisTfqjbvbwflAgb3RZOJ82j8YTYW7GplMkHUtDX2eY0WD4eEwbRr4+0NIiPnntGki6iwHwnn2JWxZsspLhYNOREPtjaaWJGQxQ6HJ2+bcPEkNJz8CYxEnyRvFvyCORNe9IQ/RRu7pVx2FUuLm2Qxm9l5GxrUst11Lo9Iwu//nLBr8HV90f4e6YTXJNeYydfezfLp/qnCgBeWH0iKz1l7MjdrC27xNbzy1Guel0ePIwMq0jm4GEmy5tJop2yZjNBlRBaipen9NJAmSD19l3eQFGLQGh64xdCjs3QsLF5p/Dh3q0lsQ2Ihwnn2JopFehT/Ue6bwPgk/m0ewFsQeB9WRaKo1IctLNUeajVowZJl/mvIK7+Nt4l8Um6PrvtnRo8trrenyaitUfkqSj95kVo/lpJy+5bbrKSQFg+r14qlWD7EzLp42Uc3Qm/R889eHvLj1UXQG90W/BQKvwJbIrKUXcwzQ9D3v1hsfX41zFpVCxeLBP9Axpi0AWy6tITknCUmS6PjfgdTsWx9Jkkg+cJmbp647fJ3wcGjRQkSc5UQ4z75GfqS33hOACc58A+vawPmfzc7qqS+LH2O0w0ENrH67Q0YBDLmOObiWhFThZ87bUwV7p/hborToupcvIZaEJEl0eqkl/T+/H02wmrSLmczuu4KLfya5/doRQZXZPHoRvWt2xoiR3/6ZwyPrHyBbJ6ZzCcootkZmrb2Y13rw7uTVe2fd7WzkLZSB1Thn8Vf7c290CyQkTJjupG4olAqi28WiuF046OpBVQLPIpxnX+X0V2DMuxvR/esVOPND8Wl8APc8Y6eDWnT53MHldIvtlfJA0phtbjLVM86mK4pXSlom9NIlRHtoOb4BI37ugX+YHznJufwyfA0nVpx3+3Xzc6HHNxqOQlKwOXEVA39vz2MbR7DkzDyRyiEoW9gTmbX2Yp68HfY+DPse976i6zKwGicQ2IJwnn2R7EuAsvj2cz+AvmjUTgFV+9t3bmVA4W3KAMeW3YoWDeZjzDY7z8emurdYMC8VTn4B63you4eM1O1ZnQeX9SOkSiDadB3xk7ew9/u/3e7AqpVqZvb7jJfufRK1Qs0/t46z9vzvvLT9ET7e92axohuBwGexNzJb9MXcFzr8+PhqnEBgC8J59kUs5sNhjmAUGz5hhK19bHcaXb3sli+kTd8DZVBxe92VC5cYD+vawslPzDng3vqg8TKqtoxg4vpBVKobij7XyPpX97D53f2YihZ6uhiFpOD9Ti/zefe3aRJRn+qhVdCb9Ew/8jFTtjwicqEFZQNnI7O+klNcBlbj3EFA5SBQgC5Ly5731pOXkVv6QQKvRBbn+aOPPqJv374MGjSIp59+mvT0dDnM8F38wqHpu8W3m3RmMS6KMc92p9Edy25+4RDdAyhSXeyuXLj86Iwxr/hn3vig8TLCaoYyacNgqrSqjFFv4o/P/+L3p7Zg0DlWHW4rkiTxZMuHODxxA38/vIW+tbphxMSSs3OZvH6YyIWWGaHbLsKZyKzIKfZpag1oRP0xLVEoFVzff4ndU9fKbZLAQWRxnjt06MDKlStZsWIFNWvW5Pvvv5fDDN+m1nho/pE5xzm/+K7pu3enTxXFHqfRHctunsyFsxSdyUc8aGwiqHIAE1cPoG6vGEwmOLrgHAtHrUeb5ZkIcKA6kPihM3io8QgUkoItiWsYsvx+3tj5b1b885vIhZYBodsuxNHIrMgp9in0Rh05BV76FUoF973Tl5AaFQGJnGuZstkmcA5ZxnN37Njxzn+3aNGCtWvF25dD1HoQqvYrPGpUHQIHpxRvV2ev0+iOcbdyjnAFc2s/8aCxGXWgmtELe7HymR0cWfgP/2xKZE7/FYyP709AJQsrHK6+vlLNj30/oWpwFJ/s/Y6TN45y6sYxFpyawd+ph3j53vdRSCLzzFP4jG4XHGld0u+6rft5GzKNmBbYTtvoZqgVatK1aUxaN4j5/dcRExJ753OpWHqlwNeQ/cmzZMkSOnfuLLcZvkvRCEbMUOizFxq+bG4L523RCU/kwhXrh+1n/j76iOIVe1GqlQz+pgvtnmqCUqUg6chNDs095bHrKyQF73Z8ic+7T6V2xRpEBUWgM+n47uinvLDlYZELLRNeq9u2Trdz9xQ8ZymtQ5DIKfZqRtQfxIedX8FP6UdCxjm+OzJNbpMELsZtkeeJEyeSkpJSbPtzzz1Hz549AZg+fTpKpZLBgwe7y4zyiV841H8Waj5YfqMTIjrjMiSFROuHG3L459Pkpmm59Oc1jIamd/qVuv36ksSTLSfwSLM4MnVZTFj1LGvPb2Xp2Xkk51zjh95LCFIHlX4iQan4tG4X7ETB7ZW3Q1PMOlDw99/W/eQiMd5sn6Q2r6C1nCZe+n0MSZJ4sPFwpu3/niuZ1wulbph3AEwm0i/fIi89F79Q96/kCVyL25znOXPmlPj50qVL2bp1K3PmzBFLGO7CHakXvkR5v38XUrFGCNXaRnJuYyKnVl9i8YSNDJ/VHZWf5zK/1Eo1YcqKLB06g6c2vMZPx35j+5UNDF/emUF1RtAgrCk9agwQeuIEPq3bd2odCqSs5dd6FNQBW/eTA2937AVOo1AqqNW/EX9N30X62VRWjZnLwEUPoQn2k9s0gR3Ikraxfft2ZsyYwfTp0wkICCj9AIFAICtKtYLRv/Sk4dBaSBKcXHGBnwatIjfNQkcTN6NWqvmhz8e80u5pNAoNx28c5pP9b/H4xlF8uPc10RfaTXi9btvaicKbO1b4Sis6Z3DF0Cofp/WLXWk4rjWSUsGtf1JI/uuK3CYJ7EQW5/m9994jKyuLSZMmMWTIEN566y05zBAIBHag8lPxwOzutH2sEQqVgsTd15nVewVplz1fMS5JEu90fJH/9ZhK1eAoKvqHojNp+eHoNJ7fPAmtQetxm8o6Xq/btnai8OaOFYHVb0edC2DI9Q7H3hV4e665h5AkiYgW1cypb6JxkE8iS7eNDRs2yHFZgUDgJJJCos9H9xFSNYitHxwg+fhNZvVczrj4fkQ2CPOsLZLEYy3GE9doGOl5GTy14TVWn9tM/Ln5JOde48feS0UutAvxCd22tdbBq2siinpTZcS7EikpgjKE7N02BAKBbyFJEh2ea87grzvhF6wmIzGLOX1XkLBLnqXHEE0w1UKqsHjID0xqOhqFpGDHlY2MXNGVlJxkWWwSyIitnSi8sWNF9iVQFkmJUQaUjbSN8pCSIig3COdZUByRkyawgaaj6zFqQS8Cwv3JTc1j4cj1HF3yj2z2qJVqvu/9Ea/d9280Cg1HUw8ydFkHztw8RaY2QwxWEXg/3pyP7Sxl+d4E5Q7hPAsKI3LSBHZQu2s1xq/sT0i1ILQZOpY/sZ0/vj4im6MqSRJTO0zhq57vEaAKICHjHwYva0+XRQ2Ysn2yyIUWeDfenI/tLGX53hxAoVGCBEadgfOrT2Ayipd7X0KWnGeBlyJy0gQOEN0knIc3DmL+sLWknLrF5rf2kXE1i97vtUdSyNPO7JHmY4kOimDCqufJ0GWQpc9g8em5XMm4xMw+v4tcaIG8lDTd0KvzsZ2kLN+bVUyk5iVjMpkKtXes3q0ulZtV5fr+S5z85QCaEA33vtJTRjsF9iAiz4K7iJw0gYNUiAlh4rpBxNwbhVFv4s+v/yb+8c0Y9fK1jRtYtxdbxyzilXZPM6RubxSSgl1XN/PA8i4kZ1+XzS5BOceW1T1b8rF9Nb3OG3PN3UAFv1DqV6qDCRNbL63hjT+eLdRGUxPsR/9fHiQkNgyTAa79eVFGawX2IpxnwV2czUlztZj76sOhnBJYyZ/xK/tTs3MVJOD0qktcP35DVpuaRTXivU4vs3jIj7xx37NoFBr+vnGIYcs7cD7tH9ETWuBZCq7u6TPMPw9NsV/jRHqd16NUKFk6dAbtqrTEiJEVZxdwKSOh0D4qfzWaYD+8bd6QoHSE8+wufNHxcyYnzdViLh4OPonaX0XDIbVQqBTo8wyc3Zoot0mAORf6rQ7P83Wv9wlQBZKQcZZBv7en86L6vLT9MZELLfAMrljdc5UDLnA7wZog+tXqjlJSYjCZ0Bt1pR8k8AlEzrM7SIw3i5ukNkduW04z53r5Ao7kpLk6V1rkXvs0DQbGsve7Y6SeSWfLOwfQpuvp+nprrxjnPLlZHFWDohi38hnSdbdI193iYvp5LqWfu50LHSy3iYKyjCs6TnjzeHGBoJwgIs+upixEBezNSXN1rrTIvfZpQqoE8dDagUQ3D8eoM7Hz08Os+PcODDqD3KYB0K9OdzaNWcCkJqPpFdsJpaRk19UtDF/emetZSXKbJyjLuKLjhGj5JhDIjnCeXU1ZdPxKS0FxtZiLh4PPExwRyMS1A6ndrSqY4PDPp1k0bgO6HO9YtmwZ1ZQf+37C6hHzeOv+59AoNRy/8RfDlnfg3K0zcpsnKMvEDIXee6HDQvNPe1clRcu3MoUqQA0mEzdOJpGw/oTc5ghsRDjP4Nr85LLm+NlaGe5KMRcPhzKBJkjNmN/60HhkHSQJTq+9xJz+K8m+kSO3aXeQJInX73+Wb3t+QKA6kAuZ5xi6vAP94tvy2o6nydPnyW2ioCzibMcJZx1wgdfQ7u3eBEQEo8vUse355aQevya3SQIbEM6zqwvTypLjZ08KiqvFXDwcygQqjZJhP3Sl/b+aoFQruLI/hVk9l3PrYobcphViUrMx/Db4OypqKnJLe4O/Uw4x7+T3PLimH5la77JVIADc1/LNF4vdfZjI5tVo90YvlH5KDHl6Mi7ektskgQ2Ub+fZXfnJZcXxszcFxdViXk76gZZ1JIVEz/fa0fP9e1EHqLhxJp1ZvZZz9WiK3KYVom/tbmwYNZ/BdXtzf7U2KBVK9lzbxvDlnUnKEtEgQTlAdDmSBXWwxisKqgW2U76dZ3fmJ5cFx6+spaAIZEOSJNo/2ZShP3TBL1RD5pVsfh64mnNbL8ttWiFaV2nO0qEz2Ba3hKn3v4BGqeHEzSMMW96Bs7dOy22eQOA+ykKxu0DgIcq38yycw5IpSykoAq+g0dDajP6tN4GV/cm9kcevY9Zz5Ffvc0olSeLV+/7N9J7/R6A6iIuZ5xm+ogv7r+2W2zSBwD2UxWJ3gcBNlG/nWTiHpVNWUlAEXkPN+6vw0JqBVKgRgi7LwIqnd/Ln9GNym2WRic1Gs3jwd4RpwriRe53xa/vz49EvWHP+d7J0mXKbJxC4DhFMkh2TCYx6MfXUFyjfzjMI59AWykIKisCriGgQxqSNg6gQG4xBa2D/zBMYDd750OhTuysbRs+nWnAUmbp0PvjzZZ7ePIahyzqJXGhB2UEEk2QjICIYhVqJUWtg38ebyEi8JbdJglIQzjMI51AgkIHQKkFENa4EkkTGtSwu7fXeASWtopuxLW4pjSvfQ4DaH4CTN48wZNn9/HPzlMzWCQQuQgSTZCGieVXavNwVlb+K9ISbbJ+yXG6TBKUgnGeBQCAb7f7VhICKfmjTdCwYsY7jy8/LbZJValWswZ5xK9g5Np7Pur9NkDqIxKwEHljZlX1XdsltnkDgGkQwyS3ojXrS89IsfiZJEo0ntiO8cRUkSSL3ZraHrRPYi3CeBbYj+n8KXEytTlUZ93tfQqoGok3XET95C39+/zcmk0lu0ywSqAmkaURDnmr5EEuG/EAlv0rcyL3OhPUD+eXEDPZe20W2Tjz4BAKBmfurtcZf6U+WPp1HNz7AiRtHre4rKUW7Ol9BOM9gu1NYnp1H0f9T4Caqtoxg4rpBVKpXAUOugQ2v7mHzO3sxGb3Tgc6nV63ObBg1n2oh5lzo13c9zdjVvRm6rCNJmVflNk8gEHgB3WM78mOfjwlSBZGcfY3pf30st0kCFyCcZ1udwvLsPFrq/3nweUg/I7dlgjJCWM1QHt4wiKptIjDqTfzxxVF+f3ILBp1BbtNKpGV0U7bHxdOocj2UCiUGo54TN/9iyPL7OZf2j9zmCQQCL2BAnR5EB1cGCXL1eXKbI3AB5dt5trUpfHlvHm+p/6dRC1t7l6+XCIFbCQwP4KFVA6jXOwaTCY4uPMeCEWvRZulKP1hGalaozh9jl7PygZ/4qMurt3OhL/D0pji5TRMIBAKBGyjfzrOtTeHLe/N4S/0/wexAl6eXCIHbUQeqGbWgFy3G1UNSwNktV5jTbwWZyTlym1YiIX7BdI/twHNtHyN+6I9UDqhEpi5dbrMEAoEPYsK7U9YE5d15trUpfHlvHp/f/1OhKf5ZeXqJEHgEpVrJoG860+GF5qjUSq4dSmV2z+XcTPANZ7RHzU5sGLmAh5qMkNsUgUDgQ6gC1GAykXHxFudXH5fbHEEJlG/n2dam8KJ5vLnfZ9f1xR3o8vQSIfAYkiTR7Y029Pm4PepAFTfPpTOz53IuH7out2k20TyqMa/d96zcZggEAh/i3td6Ehgdgj5Lx7YXl5N0IFFukwRWKN/OM9jeFF40j4fQetDq8/L9EiHwGJIk0WZyI4bN6op/BT+yk3KYN2gNZ9ZdlNs0gUAgcDnhjaK4/73+qAJUGPL03PonRW6TBFZQyW2AV+AXbpsDaOt+vkReqjntQhkEhixzFLmke4wZChGdzMeUtq9A4AIaDKhFUHwgi+I2kpWUzW8TNtH3k/toNaGB3KYJBAKBS9GEaJAk0e/Z2xHOc3kmMd7cRcQEGHNB8gOFZI4mlxRZL4svEQKvpnrbKCauG8i8watJu5jF5nf2Uad7DBViguU2TSAQCATlDJG2UV4p2H7PmGveZsorf234BD5DeJ0KtHiwPgqVhDZLz83zvlFAKBAIBIKyhSzO8xdffMGgQYMYMmQIDz/8MElJSXKYUb6x1H4vH9FBQ+Cl1OpaFU2wGn2WnkXjN5Kw47LcJpUbhG4LBAKBGVmc50ceeYQVK1awbNkyunbtyjfffCOHGeUba72bQXTQEHgtNe6LZuS8HgSE+5ObmseCURs4+puYdOkJhG4LBAKBGVmc5+Dgu3mKOTk5IjleDgq231P4m7dJfu7roJGXCjcPi3QQgdPU6lKNCav6ExoTjC5Tx/Ind/DHl0cwmcRgAXcidFsgcD8KlRIkCZPeSOL2MxgNRrlNElhAtoLBzz//nN9//52QkBDmzp0rlxnlm4KdM2zttuEI+YWJktoc1S6tIFEgKIWoxuFM2jCQ+cPWknLqFpun7iPjaha9P2iPpBBOnbsQui0QuJfKzaoQ1bY6l7ef4/zKE6gCVtL5k0HiZdXLcFvkeeLEiQwcOLDYn40bNwLw/PPPs23bNgYNGsS8efPcZYagNPzCIayFuYdzWAv3RJzzCxP1GaIgUeAyKsSE8PDGwcS0i8KoN/Hnt3+z5JFN6LUGuU3zWYRuy4RYmRPcRuWvpvfM0YQ3igIkkvZdxGQQq2rehtsiz3PmzLFpv0GDBvHYY4/xzDPPuMsUgZzcKUzMvbstvyBRtLsTOIl/BT/Gr+jPkkmbObP6IscXnyfrei5xC/ugCbZSECuwitBtGRArc4IiKDUqAioHyW2GoARkyXlOSEi489+bNm2idu3acpgh8ASWChNFQaLAhaj9VYya15OWk+ojKRUkbLvKrD7LyUzKktu0MoXQbTcgVuYEAp9ElpznadOmcf78eSRJolq1arzzzjtymCHwBPmFiYemFI6slLWoc/6kRjF1URYUSgUDPu9IaJUgdnxymOtHbjCn7yomrRtIUGSg3OaVCYRuuwE5VuaEVgkETiOL8/zVV1/JcVmBXJT1kd5i2dUrkCSJzv9phdFoYucnh0lLzOTS3us0GFhTbtPKBEK33YCnV+aEVgkELkFMGBR4hvzCxNIcZ18rnBHLrl5H7H1VUGoUGLRG9s84ji7HSj9zgUBuCrYMVYW4r1UoCK0SCFyIcJ4F3kNiPKy/F3aNMf9M/F1ui0rH0qRGMaFRVmI7RtNgSE0kCc5uvsyc/ivJvpEjt1kCgWVihkLvvdBhofmnuyLBQqsEApchnGeBd+CrURFREOl1KFQKhk7vyn3PNEWpVnBlfwqzei7n1oUMuU0TCCxj68qcMwit8klMRhOIAVBeh3CeBd6Br0ZFPLnsKrAZSSHR45176fV/7VAHqLhxJp1ZvZdz9UiK3KYJBPIgtMqnCKpaAYCMi7fY9soKDDrRv96bkG3CoEBQCF+OipT1gkgfRZIk2j3ehNDoIJY/tZ3MK9n8PGg1D8zuTp3uMXKbJxB4HqFVPkP7t3qTcfEmV/5I4PzvfxPToRb1hjeX2yzBbUTkWeAd+HpUxBPLrgKHaDikFmMW9yYoIoDcG3ksGruBQ7+cktssgUAehFb5BOogDW1f6YE6SIPJaCRH1G14FSLyLPAeRFRE4CZi76vChDUD+OWBdaRdyGT1M7vIuppNhxdaIEmS3OYJBAJBcYQ0eS0i8izwLkRUROAmIuqH8fDGQUQ2CcOgNbLl/YOsfvEPjAaj3KYJBAKBwIcQzrNAICg3hEQHMXHdQGI7RIHRxIEZJ1g8cRP6PL3cpgkEgjKKQpKQkDCZTJy6eYwbOV7eRUpQKsJ5FggE5Qr/UD/G/d6PhkNqIUlwctkFFk/YZG4JJRAIBC4mQB3AQ41HolaoOZd2irjVvcnUitaZvoxwngUCQblD5adi+Oxu1OxSFSS4ciiZnBt5cpslEAjKKK/d9wyPNo9DqVByMeMc/9w6KbdJAicQzrNAICiXKJQKopuGI0kSWcl5/PG/wyL6LBAI3IIkSdSrVBuFcLvKBOJfUW7yUuHmYe+fpCcQlEE6PN+Mqq0qYzKY2P3VMZY+vhm9VgwjEAgEAoF1hPMsJ4nxsP5e2DXG/DPxd7ktEgjKFYHhAUxY1Z96fWIwmeDvRedZOGIt2ixd6QcLBAKBh9Bna+U2QVAA4TzLRV4qHHoRDLmgzzD/PDRFRKAFAg+jDlAz6pdetHjwHiQFnN1yhdl9V5CZLIYSCAQC+QiMDEEdrMGoN3H0+z+4tOUfuU0S3EY4z3KRfQkkdeFtktq8XSAQeBSlWsmgrzvRYUpzVBolSYdTmdVjGTfOp8ltmkAgKKcERYfQffoI/CsFoE3XsueddRhEW02vQDjPchFYHUxFloZNOvN2gUDgcSRJovsbbenzSXvUgSpunc9gVq8VXD54XW7TBAJBOSW6dXWq3FcTSSlh0Oox6sVQJ29AOM9y4RcOLaeB0h9UIeafLaeJyXoCgcy0ebgRw2d3w7+CH9lJOcwbvIYzay/KbZZAICinSJKY0+1tCOdZTmKGQu+90GGh+WfMULktcg7ROURQRqjfvyZx8X0IigokL03Lbw9t4uBPx+U2SyAQCARegHCe5cYvHMJa+H7EWXQOEZQxqreNYtL6gYTVDkWfbWD1C7vZ9t8DmEyiF7RAIBCUZ4TzLHAe0TlEUEapVLsCkzYOIrp5OEadiR0fH2bntL/kNksgEAgEMiKcZ4HziM4hgjJMcEQgD60eQGhMECaDiYTtV+Q2SSAQCAQyIpxngfOIziGCMo4mRE1wVAAmEyTuTeLob2fkNkkgEAgEMiGcZ4HziM4hgjKOJEkM+roToTFB6LL0LH9yB398+ZfIfxYIBIJyiEpuAwRlhJihENHJnKoRWF04zoIyR1TjcCZtHMQvQ9eQfDKNTW/vJ/1qFn0+uA9JIVpJCQQCN2ICvdaAQWdAXfreAjcjIs8C11FWOocIBFaoUDWYSRsGU719JCaDib3fHmfJpE3oxdQvgUDgJsKbRCMpJXKSMlg7YT65t3LkNqncI5xngUAgsAP/Cn48uLw/9QfFIgHH488zb9hatJm6Uo8VCAQCe2n+ZAcaPtgGhUpJ6tGrnPr1kNwmlXuE8ywQCAR2ovZXMXJuD1o9XB+FUsGFHVeZ1XsZGdey5DZNIBCUMSSFRKOJbVEHazAB+iyt3CaVe4TzLBAIBA6gUCro/1lHurzWCpWfkutHbzKrx3JSTt+S2zSBQFDGEFUV3oVwngUCgcBBJEn6//buNiSqNg8D+OUz2m5rL6zga4Vgm9pm2ANFubVWU5k1jYYZkVtgKgpJlpZRRlEJhZIVfRGj3LGt/WAlyW70oZxkJCXBChPE7EVMcsYpK9MtX6Z7PwzP9PZkZ0y9z+j1A+E4euBimLn4c5+Z++Dv2b9i7am/YYKnB962duOf0f9B612L7GhERDRCpA7PxcXFCAkJQWdnp8wYREQ/5detoYj/1wr88c9/wHvrB/w77gYe3xqbNwlibxPReCdteG5vb8edO3cQEBAgKwIR0bD5y6oZ2FK+BpP8/4S+rn7czLkrO9KwY28TEUnc5/n48ePIzs7G9u3bf/fvNpsNAGC2WEczFhHR0PkCi479Ff/deQddA10APnXZWMDeJhq6rpfd0HRroNH8gs4OK8wf25w49w3e/fIO/e596PzfS5jNys8lZaxWMwBlnS1leL516xZ8fHwQGhr63f+xWu3l+4+kjNGKRUQ0PHw+HVqtVgQGBsrLMkzY20Q/bzqmAwByr2Y6f7KX/ae84hpQMayx6DNKOnvEhufExES8fPnym8d37dqFoqIiFBcXD3p+WFgYLl26BG9vb2g0mpGKSUQ0Imw2G6xWK8LCwmRHUYy9TUTjlTOd7SaEEKOQyaGpqQmJiYmYOHEiAMBsNsPHxweXL1+Gt7f3aEYhIiIF2NtERJ+M+vD8Na1WiytXrsDLy0tmDCIiUoi9TUTjmcvs86y27ZFOnz4NvV6P2NhYJCUlwWJRx76ueXl5iI6Ohl6vR3p6Orq6umRHAgDcuHEDOp0OoaGhePjwoew4MJlMWL16NVatWoWzZ8/KjuOwf/9+REREYN26dbKjOLS3t2Pr1q1Yu3YtdDodSkpKZEcCAPT29iI+Ph4xMTHQ6XQ4c+aM7EhfsNlsWL9+PdLS0mRHkUJtnQ2wt52lpt5mZzuHve08pzpbuIAXL16IpKQksWzZMvHq1SvZcYQQQrx7985xXFJSIg4ePCgxzSdVVVWiv79fCCFEfn6+yM/Pl5zI7vHjx+LJkydiy5Ytor6+XmqWgYEBsWLFCtHa2ip6e3uFXq8Xzc3NUjP9pra2VjQ0NAidTic7ioPFYhENDQ1CCPvrPioqShXP18ePH0V3d7cQQoi+vj4RHx8v7t+/LzfUZ4qLi0VWVpZITU2VHWXUqbGzhWBvO0stvc3Odh5723nOdLZLrDz/tj2Sm5t6blA5adIkx/H79+9Vk23JkiVwd7d/D3TevHkwm82SE9nNnDkTQUFBsmMAAOrr6xEYGIgZM2ZgwoQJ0Ol0qKhQx1eXFyxYgKlTp8qO8QUfHx/MmTMHgP11HxQUpIoVOzc3N3h6egIABgYGMDAwoJr3odlsRmVlJeLj42VHkUKNnQ2wt52llt5mZzuPve0cZztb2j7PSinZHkmWU6dO4dq1a5g8eTIuXLggO843rl69ijVr1siOoToWiwV+fn6O3319fVFfXy8xketoa2tDY2MjwsPDZUcBYL/MFhcXh9bWViQkJKgm17Fjx5CdnY2enh7ZUUadmjsbYG+7Inb2z2Fv/5izna2K4flnt0caKYPlWrlyJTIzM5GZmYmioiJcvHgRGRmjs7fpj3IBQGFhITQaDWJiYkYlk9Jc5Lp6enqQkZGBnJycL1bwZNJoNCgvL0dXVxfS09Px6NEjBAcHS810+/ZteHl5ISwsDHfvjr27DALq7WyAvT0Such1sbd/bCidrYrh2WAw/O7jTU1NaGtrQ2xsLAD7snpcXNyobY/0vVxf0+v1SE1NHbUS/lGusrIyVFZWwmAwjOrlEKXPl2y+vr5fXBa1WCzw9fWVmEj9+vv7kZGRAb1ej6ioKNlxvjFlyhQsXLgQVVVV0ofne/fuwWg0wmQyobe3F93d3dizZw9OnDghNddwUmtnD5bta+xtO1fobXb20LC3lRlKZ6v6M88hISGoqamB0WiE0WiEn58fysrKVLGvaEtLi+O4oqJCFZ8LA+zfSD537hwKCwsde7LSl+bOnYuWlhY8f/4cfX19uH79OrRarexYqiWEwIEDBxAUFIRt27bJjuPQ2dnp2JXgw4cPqK6uVsX7cPfu3TCZTDAajTh58iQWLVo0pgbnwai5swH2tqtiZzuPva3cUDpbFSvPrqigoADPnj2Dm5sbpk2bhiNHjsiOBADIzc1FX1+f480SHh6Oo0ePSk4F3Lx5E7m5uejs7ERaWhpmz56N8+fPS8ni7u6OQ4cOISUlBTabDRs2bMCsWbOkZPlaVlYWamtr8fr1a0RGRmLHjh3YuHGj1Ex1dXUoLy9HcHCwY0UxKysLS5culZqro6MD+/btg81mgxAC0dHRWL58udRMpG7sbeeopbfZ2c5jb48s6TdJISIiIiJyFar+2AYRERERkZpweCYiIiIiUojDMxERERGRQhyeiYiIiIgU4vBMRERERKQQh2ca89rb26HVavHmzRsAwNu3b6HVatHW1obk5GTMnz8faWlpckMSEZEDe5vUjMMzjXn+/v7YvHkzCgoKANj3et20aROmT5+OlJQU5OfnS05IRESfY2+TmnF4pnEhMTERDx48gMFgQF1dHZKSkgAAERER8PT0lJyOiIi+xt4mteIdBmlc8PDwwN69e5GSkoLi4mJ4eHjIjkRERINgb5NaceWZxg2TyQRvb280NzfLjkJERAqwt0mNODzTuNDY2Ijq6mqUlpbCYDCgo6NDdiQiIhoEe5vUisMzjXlCCBw+fBg5OTkICAhAcnIy8vLyZMciIqLvYG+TmnF4pjGvtLQU/v7+WLx4MQAgISEBT58+RW1tLRISErBz507U1NQgMjISVVVVktMSERF7m9TMTQghZIcgIiIiInIFXHkmIiIiIlKIwzMRERERkUIcnomIiIiIFOLwTERERESkEIdnIiIiIiKFODwTERERESnE4ZmIiIiISCEOz0RERERECv0fgArjqyVY3jUAAAAASUVORK5CYII=\n", "text/plain": [ - "interactive(children=(FloatSlider(value=-2.0, description='mean1', max=2.0, min=-2.0, step=0.5), FloatSlider(v…" + "
" ] }, "metadata": {}, @@ -1222,15 +1370,25 @@ } ], "source": [ - "interactive_plot = widgets.interactive(plot_QDA, \n", - " mean1=(-2,2,0.5), mean2=(-2,2,0.5),\n", - " sigma1=(0.1,5,0.1), sigma2=(0.1,5,0.1),\n", - " continuous_update=False);\n", - "output = interactive_plot.children[-1]\n", - "output.layout.height = '15cm'\n", - "interactive_plot" + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "plot_QDA(mean1, mean2, cov1, cov2, ax=ax1)\n", + "plot_QDA(mean1, mean2, cov1, cov3, ax=ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.4.4 Naive Bayes" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/classification.py b/classification.py index 247fcfb..853a7cd 100644 --- a/classification.py +++ b/classification.py @@ -1,36 +1,26 @@ import numpy as np # import scikitplot as skplt import sklearn.linear_model as skl_lm -from sklearn.metrics import confusion_matrix, classification_report, precision_score, roc_curve, auc, log_loss +from sklearn.metrics import confusion_matrix, log_loss import pandas as pd import matplotlib.pyplot as plt from scipy import stats # Helper functions to print classification diagnostics -def print_classification_statistics(model, X_test, y_test, labels=None): +def get_confusion_matrix(model, X_test, y_test, labels=None, norm=None): y_pred = model.predict(X_test) - print('Classification Report:') - print(classification_report(y_test, y_pred, target_names=labels, digits=3)) - cm = confusion_matrix(y_test, y_pred) - cm = cm.astype('float')/cm.sum(axis=1)[:, np.newaxis] + cm = confusion_matrix(y_test, y_pred, labels=labels, normalize=norm) num_class = len(cm) - df_cm = pd.DataFrame(cm, columns=pd.MultiIndex.from_product([['Predicted'], np.arange(0, num_class)]), - index=pd.MultiIndex.from_product([['Real'], np.arange(0, num_class)])) - print('Confusion Matrix:') - print(df_cm) - print() - -def plot_ROC(model, X_test, y_test, label=''): - y_prob = model.predict_proba(X_test) - ax = skplt.metrics.plot_roc(y_test, y_prob, plot_micro=False, plot_macro=False) - ax.set_xlim([-0.01, 1.0]) - ax.set_ylim([0.0, 1.05]) - - handles, labels = ax.get_legend_handles_labels() - if len(labels) > 0: - labels[0] = labels[0].replace('ROC curve of class 1', label) - ax.legend(handles, labels, loc="lower right") + labels = labels or np.arange(0, num_class) + df_cm = pd.DataFrame(cm, columns=pd.MultiIndex.from_product([['Predicted'], labels]), + index=pd.MultiIndex.from_product([['Real'], labels])).T + df_cm.loc[("Predicted", "Total"), :] = df_cm.sum(axis=0) + df_cm.loc[:, ("Real", "Total")] = df_cm.sum(axis=1) + if not norm: + df_cm = df_cm.astype("int") + return df_cm + def print_OLS_error_table(model, X_train, y_train): params = np.append(model.intercept_, model.coef_) From ed3145b59a7041f6120ac15510875218e0c47e33 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Fri, 8 Oct 2021 13:40:57 +0200 Subject: [PATCH 26/32] naive bayes --- 04_Classification.ipynb | 472 +++++++++++++++++++++++++++++++++------- classification.py | 5 +- 2 files changed, 391 insertions(+), 86 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 21f4b2c..cfa2698 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 97, "metadata": {}, "outputs": [], "source": [ @@ -38,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 98, "metadata": {}, "outputs": [], "source": [ @@ -925,7 +925,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 143, "metadata": {}, "outputs": [], "source": [ @@ -937,7 +937,7 @@ }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 144, "metadata": {}, "outputs": [ { @@ -1004,7 +1004,7 @@ " Total 9667 333 10000" ] }, - "execution_count": 169, + "execution_count": 144, "metadata": {}, "output_type": "execute_result" } @@ -1015,7 +1015,7 @@ }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 145, "metadata": {}, "outputs": [ { @@ -1082,7 +1082,7 @@ " Total 1.000 1.000 2.00" ] }, - "execution_count": 170, + "execution_count": 145, "metadata": {}, "output_type": "execute_result" } @@ -1093,7 +1093,7 @@ }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 146, "metadata": {}, "outputs": [ { @@ -1119,125 +1119,129 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 147, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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2u58PFNnaD+0DJD7tmx3Oy2dmhwOt3D0rasAiIlI6UUs9W8N/vzGz04CvgaalObCZ1QDGA+eWZj8iIlIyUVv8N5lZY+BK4I/ABOAPKbbJAVolTLcM5+VpBBwMvGFmS4GjgelmlhkxJhER2QVRh158Kfx1HdAF8p/cLc58oL2ZtSVI+GcCZyXscx2wV960mb0B/DGOu3pERORnqR7gqgkMIqjNv+LuC83sdOAaoD5wWFHbuvs2M7sUmElwO+fj7r7IzMYC77n79LI6CRERiS5Vi/8xgnLNPOAeM/sayARGu/vzqXbu7jOAGUnzxhSx7kkR4i2xvIe3Orct1SUJEZFqI1XizwQOdfcdZlYPWAH8yt2/iz+0sqGHt0RECkp1cXeLu+8AcPfNwBdVKenn0cNbIiI/S9XiP8DMPg5/zwB+FU5nALnufmis0YmISJlLlfgPLJcoRESk3KTqpK3EHbOJiEjlFnmwdRERqR6U+EVE0kzkxG9m9c3M4gxGRETiFynxm1lvYAHwSjjdycz05K2ISBUUtcV/A0H/+t8DuPsCgr75RUSkioma+LeGnaolyi3rYEREJH5R++NfZGZnATXNrD3we+Dt+MISEZG4RG3x/45gvN2fgKcJumf+Q0wxiYhIjKK2+A9w92uBa+MMRkRE4hc18d9hZs2BqcAUd18YY0wiIhKjSKUed+9CMPLWKuBhM/vEzK6LNTIREYlF5Ae43H2Fu98DjCS4p7/QAVVERKRyi1TqMbMDgcHAAOA7YArBwOsiIlLFRK3xP06Q7E91969jjEdERGIWKfG7+zFxByIiIuWj2MRvZs+4+yAz+4SCT+pqBC4RkSoqVYv/svDf0+MOREREykeqEbi+CX8d5e5/TlxmZrcBf955KxERqcyi3s7ZvZB5PcsyEBERKR+pavwXA6OA/czs44RFjYD/xBlYWXh67lfM/XINnds2rehQREQqjVQ1/qeBl4G/AqMT5q939zWxRVVGXliQA0DfTvtUcCQiIpVHqlJPrrsvBS4B1if8YGZVohnduW1Tzuq8b0WHISJSaURp8Z8OvE9wO2dGwrJcYL+Y4hIRkZikuqvn9PBfDbMoIlJNRO2r51hggbtvNLPfAocDd7n7V7FGJyIiZS5qXz0PAh3NrCNB52wTgCeBE4vbyMx6AHcDNYEJ7n5r0vIrgAuAbQRdPp/v7stKdAYiIlIiUe/j3+buuUBf4D53v5/gls4imVlN4H6C+/07AEPMrEPSah8CmWHXD1OB20sSvIiIlFzUFv96M7saGAocb2Y1gNoptjkK+MzdvwAws8kEHxyL81Zw99cT1n8X+G3UwEVEZNdEbfEPJhho/Xx3XwG0BMal2GYfYHnCdHY4ryjDCZ4ZEBGRGEUdenEF8BTQ2MxOBza7+9/LKojwgnEmqT9MRESklCIlfjMbBMwDBgKDgLlmdkaKzXKAVgnTLcN5yfvuBlwL9HH3n6LEIyIiuy5qjf9a4Eh3/xbAzPYG/k1wQbYo84H2ZtaWIOGfCZyVuIKZHQY8DPTI27eIiMQrao2/RlJi/i7Vtu6+DbgUmAksAZ5x90VmNtbM+oSrjQMaAs+a2QIzm16y8EVEpKSitvhfMbOZwKRwejAwI9VG7j4jeT13H5Pwe7eIxxcRkTIS9eLuVQQlmUPDn0eSB2YREZGqIVV//O2BvwG/Aj4B/ujuO12gFRGRqiNVi/9x4CVgAEEPnffGHpGIiMQqVY2/kbs/Gv7uZvZB3AGJiEi8UiX+euEtl3n98NdPnHZ3fRCIiFQxqRL/N8D4hOkVCdO5wMlxBCUiIvFJNRBLl/IKREREykfUB7hERKSaUOIXEUkzSvwiImkm6pi7GcDZwH7uPtbM9gWau/u8WKMTEZEyF7XF/wBwDDAknF5PMKyiiIhUMVETf2d3vwTYDODua4E6sUUlIiKxiZr4t4aDp+dCfn/8O2KLSkREYhM18d8DPAf8wsxuBt4CboktKhERiU2ki7vu/pSZvQ90JeiuoZ+7L4k1MhERiUXUMXf3BX4EXgSmAxvDeSIiUsVEHYEri6C+nwHUA9oCDhwUU1wiIhKTqKWeQxKnzexwYFQsEYmISKx26cndsDvmzmUci4iIlIOoT+5ekTBZAzgc+DqWiEREJFZRa/yNEn7fRlDz/2fZhyMiInFLmfjDB7caufsfyyEeERGJWbE1fjOr5e7bgWPLKR4REYlZqhb/PIJ6/gIzmw48C2zMW+ju02KMTUREYhC1xl8P+I5gjN28+/lzASV+EZEqJtXtnL8I7+hZCHwS/rso/HdhzLFJGjnssMN2mjdp0iSef/752I998skn07t3b3r37k2vXr248847+emnnwBYuXIlv//970t9jFmzZvHII4+UaJsLL7yQH374odTHTpSdnc2LL7640/ybb76Z448/nh07Stf34sknn8yaNWtKvF1Jz/Xmm29m/vz5+dNr1qzhoIMOYtKkSQXWS/67mjZtGmPHjs2ffv755zn99NPp3bs3/fr147HHHitx7MnefPNNTj31VLp3717ke56Tk8OwYcPo3bs3Q4cOZcWKFfnLDjzwQPr27Uvfvn0ZOXJk/vzLL7+cpUuXljo+SJ34awINw59GCb/n/YjEZsiQIfTr1y+2/efm5uYnuieeeIIXX3yRZ599luzsbMaMGQNAs2bNuOeee0p1nG3bttG1a1dGjBhRou0effRRdt9991IdO1lOTg4vvfRSgXk7duzg3//+Ny1atGDevIoZW6kk57p27Vo++ugjjjzyyPx5r7zyCh07diQrKyvyMWfPns0TTzzBY489xosvvsgzzzxDo0aNUm9YjO3btzN27FgmTJhAVlYWL730Ep999tlO6912223069ePF198kVGjRnHHHXfkL6tXrx4vvPACL7zwAg899FD+/CFDhjBhwoRSxZcnVannG3cfm2IdkVjce++9NGjQgOHDhzN06FAOPfRQ5s6dy/r167n55pvJzMxk+/bt/O1vf2PevHls2bKFs88+mzPPPJONGzcyatQofvjhB7Zt28Zll11Gt27dyM7OZvjw4XTs2JFFixbt1CLbbbfduPHGGznxxBP5/vvv2bBhAyNHjuSll17i008/5eqrr2br1q3s2LGDe++9lzZt2vD888/z2GOPkZGRgZkxbtw4Ro8eTZ06dViyZAmHH344ZsbChQsZM2YMo0ePpm7duixZsoTvvvuOW265heeff54FCxbQsWNHbr31ViBoPU+dOpUff/yRCy+8kCOOOIIPP/yQZs2a8cADD1CvXj2eeeYZpkyZwtatW2ndujW333479evXZ/To0TRs2JCFCxeyatUqrrrqKnr06MEdd9zB559/Tt++fenfvz/nnnsuc+fOpV27dvTq1YusrCyOPvro/Nf/66+/Jjs7m6+//pphw4ZxzjnnADBq1ChWrFjBTz/9xDnnnMPgwYMLvI533303jRs35txzzwXgzjvvpGnTpvTs2ZPLL7+cDRs2sH37dm644QYyMzPzz7VevXr84Q9/YMWKFezYsYNRo0bRq1evAvt+9dVXOf744wvMy8rKYvTo0Vx55ZWsWLGC5s2bp/z7euSRR/jTn/5Es2bNAKhTpw6DBg2K+NdZuI8//pjWrVvTqlUrAE477TRmzZpFu3btCqz3+eefc/XVVwNw9NFHc8kll6Tcd2ZmJqNHj2bbtm3UqhW1Sl+4VFtnlGrvUuX88/1snnlveZnuc1BmKwYc0bLU+9m+fTtTp05l9uzZ3HfffUycOJGpU6fSqFEj/vnPf7JlyxbOPPNMjj32WFq0aMH9999Pw4YNWbNmDYMHD6Zr164ALFu2jNtuu41OnToVepyGDRvSsmVLli1bxp577pk/f/LkyZxzzjn06dOHLVu2sGPHDj799FMefPBBJk2aRNOmTfn+++/z11+5ciWTJ0+mZs2aTJtW8HLYDz/8wJQpU5g1axYXX3wxkyZNon379pxxxhksWbKEAw88sMD6y5YtY/z48dx0001cdtllzJw5k759+9K9e/f8ZHXnnXcydepUhg4dCsC3337L008/zRdffMHFF19Mjx49uPLKK3n88cd5+OGH8/edlZXFaaedRrdu3Rg/fjxbt26ldu3aAHz55Zf8/e9/Z8OGDfTs2ZMhQ4ZQu3ZtbrnlFpo0acLmzZs544wzOOWUU9hjjz3y9zlgwAB+97vfce6557Jjxw6ysrJ49tlnee655zjuuOO4+OKL2b59O5s2bSpwnnPmzOEXv/hF/gfy+vXrd3p/PvjgA0499dT86W+++YZVq1Zx6KGH0rNnT2bMmMH5559f6Hub6NNPP+Xggw9Oud706dMLLQG1bt16p2+DK1euLPCh06xZMz7++OOdtj3ggAN49dVXGTZsGP/617/YuHEja9euZY899uCnn37iN7/5DbVq1WLEiBF069YNgBo1atC6dWv++9//Roq7OKkSf9dS7V2kDHXv3h2Agw46iJycHAD+85//4O7MnDkTCBLFsmXLaN68OePHj2f+/PnUqFGDlStXsnr1agB++ctfFpn08+Tm5u40r1OnTjz00EOsWLGCU045hTZt2vDuu+/So0cPmjZtCkCTJk3y1+/Rowc1a9YsdP9dunTJ/4aw1157YWYAtGvXjpycnJ0Sf8uWLfPnJZ7/p59+yl133cX69evZuHEjxx13XP423bp1o0aNGrRr1y7/3JNt2bKF2bNn539D6NixI2+99RZdunQB4MQTT6ROnTo0bdqUpk2b8t1339G8eXOefPJJ/vWvfwFB4l22bFmBxN+yZUuaNGnC4sWLWb16NR06dGCPPfbgkEMO4ZprrmHbtm1069Ztp/Pcf//9ue222xg3bhxdunQhMzNzp5hXrVqV/3oDzJgxg549ewLQq1cvrrnmmmITf0ZGydqzffr0oU+fPiXaJpU//elP/OUvf+G5554jMzOTZs2a5f+tvP766zRr1ozly5czbNgw9t9/f/bdN+gMuWnTpnz77belPn6xid/dS36VJoGZ9QDuJrhWMMHdb01aXhf4O3AEwV1Dg919aWmOKaUz4IiWZdI6j0OdOsFonzVq1GD79u1AkKCvu+66nb76T5s2jTVr1jBt2jRq167NySefnH/BtkGDBsUeZ8OGDeTk5NCmTZsCLc7evXvTsWNH3njjDUaMGMGNN95Y7H7q16+f8lwyMjLyf887t23bthW5PkDNmjXzz2X06NE88MADHHDAAUybNq1AjT5xm6K89dZbrF+/Pj+xbdq0ibp16+Yn/uTjbtu2jblz5/L2228zZcoU6tevz9ChQ/PjSTRw4ECmTZvG6tWrGTBgAABHHnkk//jHP/I/bM4777wC13Hatm3LtGnTmD17NnfddRdHH300l156aYH91q1bt8DxsrKyWLVqVf5F62+//ZalS5fSpk0b6taty5YtW/LPY926dfkfUO3atWPhwoUcc8wxxb5GJWnxN2vWrMCF2pUrV+aXkpLXu++++wDYuHEjr776av41jrz1W7VqxVFHHcXixYvzE/+WLVuoV69esfFGsUudtEURPvF7P9AT6AAMMbMOSasNB9a6ezvgTuC2uOKR6um4445j0qRJbN26FQhKEz/++CPr169nzz33pHbt2rz77rv5LeRUNm7cyI033ki3bt1o3LhxgWXLly+nVatWnHPOOXTt2hV35+ijj+aVV15h7dq1AAVKPeVh48aN7L333mzdurXQu3WS7bbbbmzcmP8oDllZWdx000289tprvPbaa8yaNYu33357pxJMovXr19O4cWPq16/P559/zoIFCwpdr1u3bsyZM4dPPvkk/5tITk4Oe+21F4MGDWLgwIEsWrSowDYrV66kfv369O3bl+HDh7N48eKd9vurX/2Kr776Cgje740bNzJnzpz8cxgxYkT+BeyjjjqK6dOnA7B582ZefvllOncO+pe86KKLGDduHKtWrQKCpPrss8/udLw+ffrkX2xN/Cnsov8hhxzC0qVLWb58OVu2bCErK4uTTz55p/XWrFmTf2PBI488kv/BuG7dOrZs2ZK/zgcffFDg+sDSpUtp3759oa93SZTuCkHxjgI+c/cvAMxsMtAXSHwn+wI3hL9PBe4zswx33/l7tlRrmzZt4oQTTsifPu+88yJtN3DgQHJycvjNb35Dbm4ue+yxBw888AC9e/fm4osvpnfv3hx88MHst99+xe5n2LBh+Xf5dO/enVGjdu51/OWXX+aFF16gVq1a7LXXXlx00UU0adKEkSNHMnToUGrUqEGHDh3yL86Wh8suu4yBAwfStGlTOnbsWCCpF8bMqFGjBn369KFnz57MmTOnwDeXBg0acMQRR/D6668XuY8TTjiByZMn07NnT9q2bVtk2axOnTp07tyZ3XffPb+MMW/ePB577DFq1apFgwYNuO22gm29//3vf9x+++3UqFGDWrVqccMNN+y035NOOonJkyczcOBAsrKy8kuAeU455RQuv/xyLr30Uq699lrGjBnDk08+SW5uLv369cu/G+jEE09k9erVnHfeeeTm5pKRkZGfgHdVrVq1GDNmDBdccAHbt29nwIAB+Yn67rvv5uCDD6Zr167MmzeP8ePHk5GRQWZmJtdffz0QXPS9/vrrycjIIDc3lwsvvDA/8a9evZq6deuy9957lypGgIzCapllwczOAHq4+wXh9FCgs7tfmrDOwnCd7HD683Cd1QnrtAG+nDVrFi1blqwE8c/3swEqbelCpDrbsWMH/fv35+6776ZNmzZluu8hQ4bw8MMPl/ntrpXZxIkT2W233Rg4cGDKdbOzs/NuZmhbWPk8tlJPZVCZ69Ui1dlnn31G9+7dOeaYY8o86UNwbePrr9OrZ/hGjRrRv3//MtlXnKWeHKBVwnTLcF5h62SbWS2gMcFFXhGpwtq1a8esWbNi23/Hjh1j23dlVdoyVKI4E/98oL2ZtSVI8GcCZyWtMx0YBrwDnAG8pvq+iEi8Yiv1uPs24FJgJrAEeMbdF5nZWDPLuyn2MWBPM/sMuAIYHVc8IiISiLPFj7vPAGYkzRuT8PtmIPWVChERKTPV+uKuiIjsTIlfRCTNKPGLiKSZWGv8ZaQmUKD/CxERKVpCviy0l8CqkPhbAJx99tkVHYeISFXTAvg8eWZVSPzzgeOBb4DtFRyLiEhVUJMg6c8vbGFsffWIiEjlpIu7IiJppiqUeiJJt0FfIpzvFcAFwDZgFXC+uy8r90DLUKpzTlhvAEE330e6+3vlGGKZi3LOZjaIoHvzXOAjd0/uGqVKifC3vS/wBNAkXGd0+LBolWRmjwOnA9+6+05jKppZBsHr0Qv4ETjX3T8ozTGrRYs/3QZ9iXi+HwKZ7n4oQRK8vXyjLFsRzxkzawRcBswt3wjLXpRzNrP2wNXAse5+EPCH8o6zLEV8n68j6ALmMII+wB4o3yjL3ESgRzHLewLtw58RwIOlPWC1SPwkDPri7luAvEFfEvUlaCVAkAi7hp+kVVHK83X31939x3DyXYLeUauyKO8xwF8IPtQ3l2dwMYlyzhcC97v7WgB3L/2ArBUryjnnAnkd8TcGqnT/zO7+JlDcMLd9gb+7e667vws0MbMWpTlmdUn8+wDLE6azw3mFrhN2ILcO2LNcoit7Uc430XDg5Vgjil/Kczazw4FW7p5VnoHFKMr7vD+wv5n9x8zeDcskVVmUc74B+K2ZZRP0Bfa78gmtwpT0/3tK1SXxSxHM7LdAJjCuomOJk5nVAMYDV1Z0LOWsFkEJ4CRgCPComTWpyIDKwRBgoru3JKh7Pxm+/xJRdXmxSjLoC9Vg0Jco54uZdQOuBfq4+0/lFFtcUp1zI+Bg4A0zWwocDUw3s8xyi7DsRXmfs4Hp7r7V3b8E/kfwQVBVRTnn4cAzAO7+DlAP2KtcoqsYkf6/l0R1uasn3QZ9SXm+ZnYY8DDBmMZVve4LKc7Z3deR8J/fzN4A/ljF7+qJ8nf9PEEL+P/MbC+C0s8X5RlkGYtyzl8BXYGJZnYgQeJfVa5Rlq/pwKVmNhnoDKxz929Ks8Nq0eJPt0FfIp7vOKAh8KyZLTCz6RUUbpmIeM7VSsRzngl8Z2aLgdeBq9y9qn6TjXrOVwIXmtlHwCSC2xuraiMOM5tE0CA1M8s2s+FmNtLMRoarzCD4MP8MeBQYVdpj6sldEZE0Uy1a/CIiEp0Sv4hImlHiFxFJM0r8IiJpRolfRCTNKPGLiKQZJf5qwMy2h/fq5/20KWbdDWVwvIlm9mV4rA/M7Jhd2MeEvF4XzeyapGVvlzbGcD95r8tCM3sxVVcGZtbJzHrtwnFamNlL4e8nmdm68LhLzOz6XdhfHzMbHf7eL7F3yvB+9m4l3Wchx5hoZmekWOeNkjz5HJ77S8UszzCzt8ysZ8K8gWb2SgmOUcfM3gyfvpddpMRfPWxy904JP0vL4ZhXuXsnggfhHi7pxu5+gbsvDievSVr269KHB/z8uhxM0PvhJSnW70TQ90tJXUHwYE2eOeFrk0nQmdjhJdmZu09P6IO+H0H3xHnLxrj7v3chxgoXPmQ1EhhvZvXMrCFwC6nfl8R9bAFmAYPjiTI96FOzGgr/Q70A7AHUBq5z9xeS1mkBTCHo3rYWcLG7zzGzU4AbgboEgzSf5+7FfUt4E2gX7vMK4Pxw/gR3v8vMdiPoV6UlwaAZf3H3KXldKhB0n1HfzBYAi9z9bDPb4O4Nw0fUn8zrbdPMJgIvAc8BtxJ0TFaXoFviVB8+7wCHhvs5imBgi3rAJuA84EtgbBjLccBfw2PdS9AHUG3ghuTXMTSAoI/4Atx9o5m9D7Qzsx3AQ0ADgtf1fHdfa2a/J0iG24DF7n6mmZ1L8KHxNNAHONHMrguP8//CuDYAw919YHhOJxF0UXF6Sd9DMxsD9AbqA28DFyU8CTvUzCYQ/I2c7+7zwvc0yuuyE3dfaGYvAn8GdiMYHGmFBYORFNifmR0E/B9Qh6CROsDdPyXopuKvwFNRjik7U4u/eqifUOZ5jqAv+v7ufjjQBbijkLEHzgJmhi3TjsCCsK+X64Bu4bbvEbRmi9Mb+MTMjiBIoJ0JOki7MOwvqAfwtbt3DFveBb7Wu/tofm6Zn5207ynAIAi+4hP0z5JF0EnXOnc/EjgyPFbbogK0YHCPrgR9ngD8Fzg+HMhjDHBL2JIcA0wJY5lC0MHda+5+FMHrOC5Meon7bkswwM9OneCZ2Z7ha7GIIMH9ORwY5xMgrwQ0GjgsnD8ycXt3fzuM+aowps8TFv8b6JwQz2Bg8i6+h/e5+5Hh+1OfYDSoPA3Cv5FRwOPhvCivS2b4gVGYGwn+/noSDBBU1P5GAncnfHvKDrdfSPC+yy5S4q8eEks9/YEM4BYz+5ggQewDNEvaZj5wnpndABzi7usJklQH4D9hC3wY0LqIY44L1xlBkIiPA55z941h63IacDxBkutuZreZ2fFhZ2pRvQx0sWDYzJ7Am+6+CTgFOCc8/lyCcRUK65Ey75vEivD8/xXOb0zQh9FCgtHYDiri+KcAo8N9vEHwDWHfpHVasHMHYceb2YfAqwTfTLKBJu4+O1z+BHBC+PvHwFMWdJ+9rYg4dhL2afMK0Dusd59G8C2vJO9hni5mNtfMPgFOpuDrMSk83pvA7uF1kpSvi7u/5+4XFBH7RoIP9SfDD8yi9vcOcI2Z/RloHb73uPt2YIsFo63JLlCpp3o6G9gbOMLdt1rQTXG9xBXc/U0zO4EgYUw0s/HAWuBf7j4kwjGucvepeRNm1rWwldz9f2GNuxdwk5nNcvexUU7C3TeHJaFTCVu04aIM4HfuPjPFLja5eycza0DQ6dclwD0Eo3S97u79wwvhbxSxfQZBecGLOwZJry1BjT+/1WxmjYvZ/jSCD4HewLVmdkgx6yabTNCh2RrgPXdfH36zi/oeYmb1CIYuzHT35WFDIPF8kjvzyqWI18XMkhsXxdkR/lDU/oAlZjaX4DWaYWYXuftr4bK6VI9R1iqEWvzVU2OCgZu3mlkXCmnxmVlrYKW7PwpMAA4nGKL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" ] }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_roc_curve(lda, X, y);" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a68581678eee484bbd7bff34f6b73a4b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=-2.0, description='mean1', max=2.0, min=-2.0, step=0.5), FloatSlider(v…" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "interactive_plot = widgets.interactive(generate_LDA, \n", - " mean1=(-2,2,0.5), mean2=(-2,2,0.5), mean3=(-2,2,0.5),\n", - " sigma1=(0.1,5,0.1), sigma2=(0.1,5,0.1),\n", - " continuous_update=False);\n", - "output = interactive_plot.children[-1]\n", - "output.layout.height = '15cm'\n", - "interactive_plot" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Default dataset" + "plot_roc_curve(lda, X, y);" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 152, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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" + ], "text/plain": [ - "LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,\n", - " solver='svd', store_covariance=False, tol=0.0001)" + " Real \n", + " No Yes Total\n", + "Predicted No 9435 140 9575\n", + " Yes 232 193 425\n", + " Total 9667 333 10000" ] }, - "execution_count": 10, + "execution_count": 152, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "X = df_default[['balance', 'income', 'student2']].values\n", - "y = df_default.default2.values\n", - "\n", - "lda = LinearDiscriminantAnalysis(solver='svd')\n", - "lda.fit(X, y)" + "y_pred = (lda.predict_proba(X)[:, 1] > 0.2)\n", + "y_pred = np.array([\"Yes\" if y_i else \"No\" for y_i in y_pred])\n", + "classification.get_confusion_matrix(lda, X, y, labels=['No', 'Yes'], y_pred=y_pred)" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 153, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.974 0.998 0.986 9667\n", - " Up 0.782 0.237 0.364 333\n", + " precision recall f1-score support\n", "\n", - "avg / total 0.968 0.972 0.965 10000\n", + " No 0.985 0.976 0.981 9667\n", + " Yes 0.454 0.580 0.509 333\n", "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.997724 0.002276\n", - " False 0.762763 0.237237\n", + " accuracy 0.963 10000\n", + " macro avg 0.720 0.778 0.745 10000\n", + "weighted avg 0.968 0.963 0.965 10000\n", "\n" ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "print_classification_statistics(lda, X, y, labels=['Down', 'Up'])\n", - "plot_ROC(lda, X, y, label='LDA Classification')" + "print(classification_report(y, y_pred, target_names=['No', 'Yes'], digits=3))" ] }, { @@ -1384,16 +1388,316 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "N = 1000\n", + "pi1 = pi2 = N/2\n", + "d11 = stats.norm(loc=0, scale=0.8)\n", + "f11 = d11.rvs(N)\n", + "d21 = stats.norm(loc=-1.75, scale=0.75)\n", + "f21 = d21.rvs(N)\n", + "\n", + "d12 = stats.norm(loc=2, scale=0.5)\n", + "f12 = d12.rvs(N)\n", + "d22 = stats.norm(loc=0, scale=1.25)\n", + "f22 = d22.rvs(N)\n", + "\n", + "d13 = [0.2, 0.3, 0.5]\n", + "f13 = np.random.choice(a=[1, 2, 3], size=N, p=d13)\n", + "d23 = [0.6, 0.1, 0.3]\n", + "f23 = np.random.choice(a=[1, 2, 3], size=N, p=d23) " + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(ncols=3, nrows=2, figsize=(12, 5), sharex=\"col\")\n", + "\n", + "colors = ['green', 'blue', 'red', ]*2\n", + "labels = [\"$f_{11}$\", \"$f_{12}$\", \"$_{f13}$\", \"$_{f21}$\", \"$_{f22}$\", \"$_{f23}$\"]\n", + "\n", + "for ax, f, color, label in zip(axs.flatten(), [f11, f12, f13, f21, f22, f23], colors, labels):\n", + " sns.histplot(f, ax=ax, color=color, bins=10)\n", + " ax.set_yticklabels([])\n", + " ax.set_ylabel(None)\n", + " ax.spines['top'].set_visible(False)\n", + " ax.spines['right'].set_visible(False)\n", + " ax.spines['left'].set_visible(False)\n", + " ax.set_title(label)\n", + " if color == \"red\":\n", + " ax.set_xticks([1, 2, 3])\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "f11(0.4)=0.440, f12(1.5)=0.484, f13(1)=0.200\n", + "f21(0.4)=0.009, f22(1.5)=0.155, f23(1)=0.600\n" + ] + } + ], + "source": [ + "print(f\"f11(0.4)={d11.pdf(0.4):.3f}, f12(1.5)={d12.pdf(1.5):.3f}, f13(1)={d13[0]:.3f}\")\n", + "print(f\"f21(0.4)={d21.pdf(0.4):.3f}, f22(1.5)={d22.pdf(1.5):.3f}, f23(1)={d23[0]:.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "def naive_bayes(k, x, pis, fs):\n", + " factor_1 = pis[0] * fs[0][0].pdf(x[0]) * fs[0][1].pdf(x[1]) * fs[0][2][int(x[2]-1)]\n", + " factor_2 = pis[1] * fs[1][0].pdf(x[0]) * fs[1][1].pdf(x[1]) * fs[1][2][int(x[2]-1)]\n", + " if k == 1:\n", + " return factor_1/(factor_1+factor_2)\n", + " elif k == 2:\n", + " return factor_2/(factor_1+factor_2)\n", + " else:\n", + " return None\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.array((0.4, 1.5, 1))\n", + "pis = np.array((pi1, pi2))\n", + "fs = [[d11, d12, d13], [d21, d22, d23]]" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "P(k=1, X=x) = 0.981\n", + "P(k=2, X=x) = 0.019\n" + ] + } + ], + "source": [ + "print(f\"P(k=1, X=x) = {naive_bayes(1, x, pis, fs):.3f}\")\n", + "print(f\"P(k=2, X=x) = {naive_bayes(2, x, pis, fs):.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.naive_bayes import GaussianNB" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [ + "X = df_default[['balance', 'income', 'is_student']].values\n", + "y = df_default.default.values\n", + "\n", + "gnb = GaussianNB().fit(X, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Real \n", + " No Yes Total\n", + "Predicted No 9338 128 9466\n", + " Yes 329 205 534\n", + " Total 9667 333 10000" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_pred = (gnb.predict_proba(X)[:, 1] > 0.2)\n", + "y_pred = np.array([\"Yes\" if y_i else \"No\" for y_i in y_pred])\n", + "classification.get_confusion_matrix(gnb, X, y, labels=['No', 'Yes'], y_pred=y_pred)" + ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# 4.5 A Comparison of Classification Methods" + "## 4.5 A Comparison of Classification Methods" ] }, { diff --git a/classification.py b/classification.py index 853a7cd..8782b06 100644 --- a/classification.py +++ b/classification.py @@ -8,8 +8,9 @@ from scipy import stats # Helper functions to print classification diagnostics -def get_confusion_matrix(model, X_test, y_test, labels=None, norm=None): - y_pred = model.predict(X_test) +def get_confusion_matrix(model, X_test, y_test, labels=None, norm=None, y_pred=None): + if y_pred is None: + y_pred = model.predict(X_test) cm = confusion_matrix(y_test, y_pred, labels=labels, normalize=norm) num_class = len(cm) labels = labels or np.arange(0, num_class) From 6f475f30e9de2a993b95bf7a3c00823b5ac72b4c Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Fri, 8 Oct 2021 21:51:18 +0200 Subject: [PATCH 27/32] scenario 1 comparison classification methods --- 04_Classification.ipynb | 95 ++++++++++++++++++++++++++++++++++++++++- 1 file changed, 93 insertions(+), 2 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index cfa2698..57f736d 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 274, "metadata": {}, "outputs": [], "source": [ @@ -20,6 +20,8 @@ "import seaborn as sns\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.model_selection import GridSearchCV\n", "from sklearn.metrics import classification_report, plot_roc_curve, auc, log_loss\n", "from sklearn import preprocessing\n", "from sklearn import neighbors\n", @@ -1704,7 +1706,96 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Compare Logistic regression, LDA, QDA and KNN under different conditions" + "### 4.5.2 An Empirical Comparison" + ] + }, + { + "cell_type": "code", + "execution_count": 283, + "metadata": {}, + "outputs": [], + "source": [ + "N_samples = 20\n", + "N_datasets = 100\n", + "scenarios_samples = scenarios_test_samples = []\n", + "# scenario 1\n", + "scenario1_sample0 = np.random.multivariate_normal([0, 0], cov=np.eye(2), size=(N_datasets, N_samples))\n", + "scenario1_sample0 = np.concatenate((scenario1_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "\n", + "scenario1_sample1 = np.random.multivariate_normal([1, 1], cov=np.eye(2), size=(N_datasets, N_samples)) \n", + "scenario1_sample1 = np.concatenate((scenario1_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "\n", + "scenarios_samples.append(np.concatenate((scenario1_sample0, scenario1_sample1), axis=1))\n", + "scenarios_test_samples.append(scenario1_samples.reshape((-1, 3)))" + ] + }, + { + "cell_type": "code", + "execution_count": 284, + "metadata": {}, + "outputs": [], + "source": [ + "methods = [\"knn_1\", \"knn_cv\", \"lda\", \"logistic\", \"gnb\", \"qda\"]\n", + "colors_palette = {\"knn_1\": \"deepskyblue\", \"knn_cv\": \"deepskyblue\", \"lda\": \"green\", \"logistic\": \"green\", \"gnb\": \"pink\", \"qda\": \"red\"}" + ] + }, + { + "cell_type": "code", + "execution_count": 285, + "metadata": {}, + "outputs": [], + "source": [ + "scenario_scores = []\n", + "scenario_dfs = []\n", + "for scenario in range(1):\n", + " for dataset in scenarios_samples[scenario]:\n", + " X_train = dataset[:, :-1]\n", + " y_train = dataset[:, -1]\n", + " X_test = scenario1_test_samples[:, :-1]\n", + " y_test = scenario1_test_samples[:, -1]\n", + " lda = LinearDiscriminantAnalysis(solver='svd').fit(X_train, y_train).score(X_test, y_test)\n", + " qda = QuadraticDiscriminantAnalysis().fit(X_train, y_train).score(X_test, y_test)\n", + " gnb = GaussianNB().fit(X_train, y_train).score(X_test, y_test)\n", + " logistic = LogisticRegression().fit(X_train, y_train).score(X_test, y_test)\n", + " knn_1 = KNeighborsClassifier(n_neighbors=1).fit(X_train, y_train).score(X_test, y_test)\n", + " knn_cv = GridSearchCV(KNeighborsClassifier(), {\"n_neighbors\": np.arange(1, 10)}, cv=5).fit(X_train, y_train).best_estimator_.score(X_test, y_test)\n", + " scenario_scores.append([knn_1, knn_cv, lda, logistic, gnb, qda])\n", + "\n", + " scenario_scores = pd.DataFrame(scenario_scores, columns=methods)\n", + " scenario_dfs.append(1 - scenario_scores)" + ] + }, + { + "cell_type": "code", + "execution_count": 286, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Scenario 1')" + ] + }, + "execution_count": 286, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, nrows=1, figsize=(18, 5), sharey=True)\n", + "ax1.set_ylim((0.22, 0.48))\n", + "sns.boxplot(data=scenario_dfs[0], ax=ax1, palette=colors_palette)\n", + "ax1.set_title(\"Scenario 1\")" ] }, { From 61a7701f38b99434a91517e1d64f9b615e9ec431 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 9 Oct 2021 23:21:20 +0200 Subject: [PATCH 28/32] glm --- 04_Classification.ipynb | 748 +++++++++++++++++++++++++++++++++++++--- 1 file changed, 706 insertions(+), 42 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 57f736d..8bb9f3f 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -9,17 +9,19 @@ }, { "cell_type": "code", - "execution_count": 274, + "execution_count": 769, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", + "from pandas.api.types import CategoricalDtype\n", "import numpy as np\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis\n", + "from sklearn.naive_bayes import GaussianNB\n", "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.model_selection import GridSearchCV\n", "from sklearn.metrics import classification_report, plot_roc_curve, auc, log_loss\n", @@ -27,12 +29,11 @@ "from sklearn import neighbors\n", "\n", "from scipy import stats\n", + "from scipy import interpolate\n", "\n", "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf\n", "\n", - "from ipywidgets import widgets\n", - "\n", "import classification\n", "\n", "plt.style.use('seaborn-white')" @@ -40,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -56,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 642, "metadata": {}, "outputs": [ { @@ -127,13 +128,12 @@ "2 No No 1073.549164 31767.138947 0 0" ] }, - "execution_count": 3, + "execution_count": 642, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# In R, I exported the dataset from package 'ISLR' to an Excel file\n", "df_default = pd.read_csv('Data/Default.csv')\n", "\n", "# Note: factorize() returns two objects: a label array and an array with the unique values.\n", @@ -1516,15 +1516,6 @@ "print(f\"P(k=2, X=x) = {naive_bayes(2, x, pis, fs):.3f}\")" ] }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.naive_bayes import GaussianNB" - ] - }, { "cell_type": "code", "execution_count": 118, @@ -1711,27 +1702,103 @@ }, { "cell_type": "code", - "execution_count": 283, + "execution_count": 637, "metadata": {}, "outputs": [], "source": [ - "N_samples = 20\n", "N_datasets = 100\n", - "scenarios_samples = scenarios_test_samples = []\n", + "scenarios_samples = []\n", + "\n", "# scenario 1\n", + "N_samples = 20\n", "scenario1_sample0 = np.random.multivariate_normal([0, 0], cov=np.eye(2), size=(N_datasets, N_samples))\n", "scenario1_sample0 = np.concatenate((scenario1_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", - "\n", "scenario1_sample1 = np.random.multivariate_normal([1, 1], cov=np.eye(2), size=(N_datasets, N_samples)) \n", "scenario1_sample1 = np.concatenate((scenario1_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", - "\n", "scenarios_samples.append(np.concatenate((scenario1_sample0, scenario1_sample1), axis=1))\n", - "scenarios_test_samples.append(scenario1_samples.reshape((-1, 3)))" + "\n", + "# scenario 2\n", + "N_samples = 20\n", + "cov = np.array([[1, -0.5], [-0.5, 1]])\n", + "scenario2_sample0 = np.random.multivariate_normal([0, 0], cov=cov, size=(N_datasets, N_samples))\n", + "scenario2_sample0 = np.concatenate((scenario2_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario2_sample1 = np.random.multivariate_normal([1, 1], cov=cov, size=(N_datasets, N_samples)) \n", + "scenario2_sample1 = np.concatenate((scenario2_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario2_sample0, scenario2_sample1), axis=1))\n", + "\n", + "# scenario 3\n", + "N_samples = 50\n", + "df = 2\n", + "cov = np.array([[1, -0.5], [-0.5, 1]])\n", + "scenario3_sample0 = stats.multivariate_t(loc=[0, 0], shape=cov, df=df).rvs(N_datasets*N_samples).reshape(N_datasets, N_samples, -1)\n", + "scenario3_sample0 = np.concatenate((scenario3_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario3_sample1 = stats.multivariate_t(loc=[1, 1], shape=cov, df=df).rvs(N_datasets*N_samples).reshape(N_datasets, N_samples, -1)\n", + "scenario3_sample1 = np.concatenate((scenario3_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario3_sample0, scenario3_sample1), axis=1))\n", + "\n", + "# scenario 4\n", + "N_samples = 20\n", + "scenario4_sample0 = np.random.multivariate_normal([0, 0], cov=np.array([[1, 0.5], [0.5, 1]]), size=(N_datasets, N_samples))\n", + "scenario4_sample0 = np.concatenate((scenario4_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario4_sample1 = np.random.multivariate_normal([1, 1], cov=np.array([[1, -0.5], [-0.5, 1]]), size=(N_datasets, N_samples)) \n", + "scenario4_sample1 = np.concatenate((scenario4_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario4_sample0, scenario4_sample1), axis=1))\n", + "\n", + "# scenario 5\n", + "N_samples = 20\n", + "centers = N_samples//2\n", + "X, y = make_blobs(n_samples=N_datasets*2*N_samples, centers=centers, cluster_std=0.5, n_features=2, center_box=(-3, 3))\n", + "y = (y > centers//2).astype(\"int\").reshape(N_datasets, 2*N_samples, 1)\n", + "scenario5_sample = np.concatenate((X.reshape(N_datasets, 2*N_samples, 2), y), axis=2)\n", + "scenarios_samples.append(scenario5_sample)\n", + "\n", + "# scenario 6\n", + "N_samples = 6\n", + "scenario6_sample0 = np.random.multivariate_normal([0, 0], cov=np.eye(2), size=(N_datasets, N_samples))\n", + "scenario6_sample0 = np.concatenate((scenario6_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario6_sample1 = np.random.multivariate_normal([1, 1], cov=2*np.eye(2), size=(N_datasets, N_samples)) \n", + "scenario6_sample1 = np.concatenate((scenario6_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario6_sample0, scenario6_sample1), axis=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 638, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 638, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot scenario 5 non linear function\n", + "scenario5_sample_full = scenarios_samples[4]\n", + "scenario5_sample_full_one = scenario5_sample_full[scenario5_sample_full[:, :, 2] == 1]\n", + "scenario5_sample_full_zero = scenario5_sample_full[scenario5_sample_full[:, :, 2] == 0]\n", + "plt.scatter(x=scenario5_sample_full_one[:, 0], y=scenario5_sample_full_one[:, 1], c=\"blue\", s=4)\n", + "plt.scatter(x=scenario5_sample_full_zero[:, 0], y=scenario5_sample_full_zero[:, 1], c=\"orange\", s=4)" ] }, { "cell_type": "code", - "execution_count": 284, + "execution_count": 639, "metadata": {}, "outputs": [], "source": [ @@ -1741,50 +1808,648 @@ }, { "cell_type": "code", - "execution_count": 285, + "execution_count": 640, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Scenario 1.\n", + "Scenario 2.\n", + "Scenario 3.\n", + "Scenario 4.\n", + "Scenario 5.\n", + "Scenario 6.\n" + ] + } + ], "source": [ "scenario_scores = []\n", - "scenario_dfs = []\n", - "for scenario in range(1):\n", - " for dataset in scenarios_samples[scenario]:\n", + "for num, scenario_samples in enumerate(scenarios_samples):\n", + " print(f\"Scenario {num+1}.\")\n", + " X_test = scenario_samples.reshape((-1, 3))[:, :-1]\n", + " y_test = scenario_samples.reshape((-1, 3))[:, -1]\n", + " for dataset in scenario_samples:\n", " X_train = dataset[:, :-1]\n", " y_train = dataset[:, -1]\n", - " X_test = scenario1_test_samples[:, :-1]\n", - " y_test = scenario1_test_samples[:, -1]\n", " lda = LinearDiscriminantAnalysis(solver='svd').fit(X_train, y_train).score(X_test, y_test)\n", " qda = QuadraticDiscriminantAnalysis().fit(X_train, y_train).score(X_test, y_test)\n", " gnb = GaussianNB().fit(X_train, y_train).score(X_test, y_test)\n", " logistic = LogisticRegression().fit(X_train, y_train).score(X_test, y_test)\n", " knn_1 = KNeighborsClassifier(n_neighbors=1).fit(X_train, y_train).score(X_test, y_test)\n", " knn_cv = GridSearchCV(KNeighborsClassifier(), {\"n_neighbors\": np.arange(1, 10)}, cv=5).fit(X_train, y_train).best_estimator_.score(X_test, y_test)\n", - " scenario_scores.append([knn_1, knn_cv, lda, logistic, gnb, qda])\n", + " scenario_scores.append([num+1, 1-knn_1, 1-knn_cv, 1-lda, 1-logistic, 1-gnb, 1-qda])\n", "\n", - " scenario_scores = pd.DataFrame(scenario_scores, columns=methods)\n", - " scenario_dfs.append(1 - scenario_scores)" + "scenarios_scores = pd.DataFrame(scenario_scores, columns=[\"scenario\", *methods])" ] }, { "cell_type": "code", - "execution_count": 286, + "execution_count": 641, "metadata": {}, "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "Text(0.5, 1.0, 'Scenario 1')" + "
" ] }, - "execution_count": 286, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(ncols=3, nrows=2, figsize=(18, 10), sharex=True)\n", + "\n", + "for num, ax in enumerate(axs.flatten()):\n", + " data = scenarios_scores[scenarios_scores.scenario == num+1].drop(columns=\"scenario\")\n", + " sns.boxplot(data=data, ax=ax, palette=colors_palette)\n", + " ax.set_title(f\"Scenario {num+1}\")\n", + " \n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.6 Generalized Linear Models" + ] + }, + { + "cell_type": "code", + "execution_count": 738, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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seasonmnthdayhrholidayweekdayworkingdayweathersittempatemphumwindspeedcasualregisteredbikers
11Jan10060clear0.240.28790.810.031316
21Jan11060clear0.220.27270.800.083240
31Jan12060clear0.220.27270.800.052732
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" + ], + "text/plain": [ + " season mnth day hr holiday weekday workingday weathersit temp atemp \\\n", + "1 1 Jan 1 0 0 6 0 clear 0.24 0.2879 \n", + "2 1 Jan 1 1 0 6 0 clear 0.22 0.2727 \n", + "3 1 Jan 1 2 0 6 0 clear 0.22 0.2727 \n", + "\n", + " hum windspeed casual registered bikers \n", + "1 0.81 0.0 3 13 16 \n", + "2 0.80 0.0 8 32 40 \n", + "3 0.80 0.0 5 27 32 " + ] + }, + "execution_count": 738, "metadata": {}, "output_type": "execute_result" + } + ], + "source": [ + "df_bikeshare = pd.read_csv('Data/Bikeshare.csv', index_col=0)\n", + "month_type = CategoricalDtype(\n", + " categories=['Jan', 'Feb', 'March', 'April', 'May', 'June', 'July', 'Aug', 'Sept', 'Oct', 'Nov', 'Dec'],\n", + " ordered=True\n", + ")\n", + "hr_type = CategoricalDtype(\n", + " categories=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23],\n", + " ordered=True\n", + ")\n", + "df_bikeshare.mnth = df_bikeshare.mnth.astype(month_type)\n", + "df_bikeshare.hr = df_bikeshare.hr.astype(hr_type)\n", + "df_bikeshare.head(3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.6.1 Linear Regression on the Bikeshare Data" + ] + }, + { + "cell_type": "code", + "execution_count": 740, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecoefstd errtP>|t|[0.0250.975]clean_name
0Intercept-68.63175.307-12.9320.000-79.035-58.229Intercept
1C(weathersit)[T.cloudy/misty]-12.89031.964-6.5620.000-16.741-9.040cloudy/misty
2C(weathersit)[T.heavy rain/snow]-109.744676.667-1.4310.152-260.03140.542heavy rain/snow
3C(weathersit)[T.light rain/snow]-66.49442.965-22.4250.000-72.307-60.682light rain/snow
38workingday1.26961.7840.7110.477-2.2284.768workingday
39temp157.209410.26115.3210.000137.095177.324temp
\n", + "
" + ], + "text/plain": [ + " name coef std err t P>|t| \\\n", + "0 Intercept -68.6317 5.307 -12.932 0.000 \n", + "1 C(weathersit)[T.cloudy/misty] -12.8903 1.964 -6.562 0.000 \n", + "2 C(weathersit)[T.heavy rain/snow] -109.7446 76.667 -1.431 0.152 \n", + "3 C(weathersit)[T.light rain/snow] -66.4944 2.965 -22.425 0.000 \n", + "38 workingday 1.2696 1.784 0.711 0.477 \n", + "39 temp 157.2094 10.261 15.321 0.000 \n", + "\n", + " [0.025 0.975] clean_name \n", + "0 -79.035 -58.229 Intercept \n", + "1 -16.741 -9.040 cloudy/misty \n", + "2 -260.031 40.542 heavy rain/snow \n", + "3 -72.307 -60.682 light rain/snow \n", + "38 -2.228 4.768 workingday \n", + "39 137.095 177.324 temp " + ] + }, + "execution_count": 740, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikeshare_ols = smf.ols('bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)', df_bikeshare).fit()\n", + "table = bikeshare_ols.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\)\\[T\\.(.*)\\]\", \"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(\"C\\(mnth\\)\") & ~df.name.str.contains(\"C\\(hr\\)\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 741, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 741, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "sns.lineplot(data=df[df.name.str.contains(\"C\\(mnth\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1)\n", + "sns.lineplot(data=df[df.name.str.contains(\"C\\(hr\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 742, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of negative predicted values: 9.6%.\n" + ] + } + ], + "source": [ + "print(f\"Number of negative predicted values: {(bikeshare_ols.fittedvalues < 0).mean():.1%}.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 756, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At low times there are in average 4.54 bikers, with a std. dev of 3.60.\n", + "At peak times there are in average 212.07 bikers, with a std. dev of 116.47.\n" + ] + } + ], + "source": [ + "low_bikers = df_bikeshare[\n", + " df_bikeshare.mnth.isin([\"Dec\", \"Jan\", \"Feb\"]) \n", + " & df_bikeshare.hr.isin([1, 2, 3, 4]) \n", + " & df_bikeshare.weathersit.isin([\"light rain/snow\", \"heavy rain/snow\"])\n", + "].bikers\n", + "high_bikers = df_bikeshare[\n", + " df_bikeshare.mnth.isin([\"April\", \"May\", \"Jun\"]) \n", + " & df_bikeshare.hr.isin([7, 8, 9, 10]) \n", + " & (df_bikeshare.weathersit == \"clear\")\n", + "].bikers\n", + "print(f\"At low times there are in average {low_bikers.mean():.2f} bikers, with a std. dev of {low_bikers.std():.2f}.\")\n", + "print(f\"At peak times there are in average {high_bikers.mean():.2f} bikers, with a std. dev of {high_bikers.std():.2f}.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 828, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "\n", + "data = df_bikeshare[[\"hr\", \"bikers\"]].copy().sort_values(\"hr\").groupby([\"hr\"]).mean().reset_index()\n", + "spline = interpolate.UnivariateSpline (data.hr, data.bikers, s=50000)\n", + "xs = np.linspace(0, 23, 1000)\n", + "ys = spline(xs)\n", + "sns.regplot(\n", + " data=df_bikeshare, x=df_bikeshare.hr.astype(\"int\"), y=\"bikers\", \n", + " fit_reg=False, scatter_kws=dict(alpha=0.5, s=2), x_jitter=0.2,\n", + " ax=ax1\n", + ")\n", + "ax1.plot(xs, ys, c=\"g\");\n", + "\n", + "sns.regplot(\n", + " data=df_bikeshare, x=df_bikeshare.hr.astype(\"int\"), y=\"bikers\", \n", + " fit_reg=False, scatter_kws=dict(alpha=0.5, s=2), x_jitter=0.2,\n", + " ax=ax2\n", + ")\n", + "ax2.plot(xs, ys, c=\"g\");\n", + "ax2.set_yscale(\"log\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.6.2 Poisson Regression on the Bikeshare Data" + ] + }, + { + "cell_type": "code", + "execution_count": 831, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 16.256725\n", + " Iterations 9\n" + ] }, { "data": { - "image/png": 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namecoefstd errzP>|z|[0.0250.975]clean_name
0Intercept2.6940.010277.1240.0002.6752.713Intercept
1C(weathersit)[T.cloudy/misty]-0.0750.002-34.5280.000-0.080-0.071cloudy/misty
2C(weathersit)[T.heavy rain/snow]-0.9260.167-5.5540.000-1.253-0.599heavy rain/snow
3C(weathersit)[T.light rain/snow]-0.5760.004-141.9050.000-0.584-0.568light rain/snow
38workingday0.0150.0027.5020.0000.0110.018workingday
39temp0.7850.01168.4340.0000.7630.808temp
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" + ], "text/plain": [ - "
" + " name coef std err z P>|z| \\\n", + "0 Intercept 2.694 0.010 277.124 0.000 \n", + "1 C(weathersit)[T.cloudy/misty] -0.075 0.002 -34.528 0.000 \n", + "2 C(weathersit)[T.heavy rain/snow] -0.926 0.167 -5.554 0.000 \n", + "3 C(weathersit)[T.light rain/snow] -0.576 0.004 -141.905 0.000 \n", + "38 workingday 0.015 0.002 7.502 0.000 \n", + "39 temp 0.785 0.011 68.434 0.000 \n", + "\n", + " [0.025 0.975] clean_name \n", + "0 2.675 2.713 Intercept \n", + "1 -0.080 -0.071 cloudy/misty \n", + "2 -1.253 -0.599 heavy rain/snow \n", + "3 -0.584 -0.568 light rain/snow \n", + "38 0.011 0.018 workingday \n", + "39 0.763 0.808 temp " + ] + }, + "execution_count": 831, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikeshare_poisson = smf.poisson('bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)', df_bikeshare).fit()\n", + "table = bikeshare_poisson.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\)\\[T\\.(.*)\\]\", \"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(\"C\\(mnth\\)\") & ~df.name.str.contains(\"C\\(hr\\)\")].round(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 832, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 832, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" ] }, "metadata": {}, @@ -1792,10 +2457,9 @@ } ], "source": [ - "fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, nrows=1, figsize=(18, 5), sharey=True)\n", - "ax1.set_ylim((0.22, 0.48))\n", - "sns.boxplot(data=scenario_dfs[0], ax=ax1, palette=colors_palette)\n", - "ax1.set_title(\"Scenario 1\")" + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "sns.lineplot(data=df[df.name.str.contains(\"C\\(mnth\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1)\n", + "sns.lineplot(data=df[df.name.str.contains(\"C\\(hr\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2)" ] }, { From 78f4df7bcd8ef2f1c8268c6bcf7cdf214197a4b2 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 16 Oct 2021 13:50:08 +0200 Subject: [PATCH 29/32] use black and fix some flake8 errors --- 04_Classification.ipynb | 818 +++++++++++++++++++++++----------------- classification.py | 100 ++--- 2 files changed, 522 insertions(+), 396 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 8bb9f3f..b56bf66 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -9,34 +9,34 @@ }, { "cell_type": "code", - "execution_count": 769, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ - "import pandas as pd\n", - "from pandas.api.types import CategoricalDtype\n", - "import numpy as np\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", "import seaborn as sns\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "from pandas.api.types import CategoricalDtype\n", + "from scipy import interpolate, stats\n", + "from sklearn import neighbors, preprocessing\n", + "from sklearn.datasets import make_blobs\n", + "from sklearn.discriminant_analysis import (\n", + " LinearDiscriminantAnalysis,\n", + " QuadraticDiscriminantAnalysis,\n", + ")\n", "from sklearn.linear_model import LogisticRegression\n", - "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis\n", + "from sklearn.metrics import RocCurveDisplay, auc, classification_report, log_loss\n", + "from sklearn.model_selection import GridSearchCV\n", "from sklearn.naive_bayes import GaussianNB\n", "from sklearn.neighbors import KNeighborsClassifier\n", - "from sklearn.model_selection import GridSearchCV\n", - "from sklearn.metrics import classification_report, plot_roc_curve, auc, log_loss\n", - "from sklearn import preprocessing\n", - "from sklearn import neighbors\n", - "\n", - "from scipy import stats\n", - "from scipy import interpolate\n", - "\n", - "import statsmodels.api as sm\n", - "import statsmodels.formula.api as smf\n", "\n", "import classification\n", "\n", - "plt.style.use('seaborn-white')" + "plt.style.use(\"seaborn-white\")" ] }, { @@ -57,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 642, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -128,18 +128,18 @@ "2 No No 1073.549164 31767.138947 0 0" ] }, - "execution_count": 642, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_default = pd.read_csv('Data/Default.csv')\n", + "df_default = pd.read_csv(\"Data/Default.csv\")\n", "\n", "# Note: factorize() returns two objects: a label array and an array with the unique values.\n", - "# We are only interested in the first object. \n", - "df_default['is_default'] = df_default.default.factorize()[0]\n", - "df_default['is_student'] = df_default.student.factorize()[0]\n", + "# We are only interested in the first object.\n", + "df_default[\"is_default\"] = df_default.default.factorize()[0]\n", + "df_default[\"is_student\"] = df_default.student.factorize()[0]\n", "df_default.head(3)" ] }, @@ -150,7 +150,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -164,22 +164,32 @@ "source": [ "fig = plt.figure(figsize=(12, 7))\n", "gs = mpl.gridspec.GridSpec(1, 4)\n", - "ax1 = plt.subplot(gs[0,:-2])\n", - "ax2 = plt.subplot(gs[0,-2])\n", - "ax3 = plt.subplot(gs[0,-1])\n", + "ax1 = plt.subplot(gs[0, :-2])\n", + "ax2 = plt.subplot(gs[0, -2])\n", + "ax3 = plt.subplot(gs[0, -1])\n", "\n", "# Take a fraction of the samples where target value (default) is 'no'\n", - "df_no = df_default[df_default.is_default == 0].sample(frac=.08)\n", + "df_no = df_default[df_default.is_default == 0].sample(frac=0.08)\n", "# Take all samples where target value is 'yes'\n", "df_yes = df_default[df_default.is_default == 1]\n", "\n", - "sns.scatterplot(data=df_no, x=\"balance\", y=\"income\", s=40, marker='o', linewidths='1',\n", - " edgecolor='blue', facecolors='white', alpha=0.8, ax=ax1)\n", - "sns.scatterplot(data=df_yes, x=\"balance\", y=\"income\", s=40, color='orange', marker='+', linewidths='1', ax=ax1)\n", + "sns.scatterplot(\n", + " data=df_no,\n", + " x=\"balance\",\n", + " y=\"income\",\n", + " s=40,\n", + " marker=\"o\",\n", + " linewidths=\"1\",\n", + " edgecolor=\"blue\",\n", + " facecolors=\"white\",\n", + " alpha=0.8,\n", + " ax=ax1,\n", + ")\n", + "sns.scatterplot(data=df_yes, x=\"balance\", y=\"income\", s=40, color=\"orange\", marker=\"+\", linewidths=\"1\", ax=ax1)\n", "\n", - "c_palette = {'No': 'lightblue', 'Yes': 'orange'}\n", - "sns.boxplot(x='default', y='balance', data=df_default, orient='v', ax=ax2, palette=c_palette)\n", - "sns.boxplot(x='default', y='income', data=df_default, orient='v', ax=ax3, palette=c_palette)\n", + "c_palette = {\"No\": \"lightblue\", \"Yes\": \"orange\"}\n", + "sns.boxplot(x=\"default\", y=\"balance\", data=df_default, orient=\"v\", ax=ax2, palette=c_palette)\n", + "sns.boxplot(x=\"default\", y=\"income\", data=df_default, orient=\"v\", ax=ax3, palette=c_palette)\n", "gs.tight_layout(plt.gcf())" ] }, @@ -213,8 +223,14 @@ "\n", "sns.regplot(data=df_default, x=\"balance\", y=\"is_default\", ax=ax1, ci=None, marker=\"|\", scatter_kws=dict(color=\"orange\"))\n", "sns.regplot(\n", - " data=df_default, x=\"balance\", y=\"is_default\", ax=ax2, \n", - " logistic=True, ci=None, marker=\"|\", scatter_kws=dict(color=\"orange\")\n", + " data=df_default,\n", + " x=\"balance\",\n", + " y=\"is_default\",\n", + " ax=ax2,\n", + " logistic=True,\n", + " ci=None,\n", + " marker=\"|\",\n", + " scatter_kws=dict(color=\"orange\"),\n", ")\n", "ax1.set_ylabel(\"Probability of Default\")\n", "ax2.set_ylabel(\"Probability of Default\");" @@ -528,23 +544,28 @@ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", "\n", "sns.regplot(\n", - " data=df_default[df_default.is_student == 1], x=\"balance\", y=\"is_default\",\n", - " logistic=True, ci=None, scatter=False, color=\"orange\", label=\"Student\",\n", - " ax=ax1\n", + " data=df_default[df_default.is_student == 1],\n", + " x=\"balance\",\n", + " y=\"is_default\",\n", + " logistic=True,\n", + " ci=None,\n", + " scatter=False,\n", + " color=\"orange\",\n", + " label=\"Student\",\n", + " ax=ax1,\n", ")\n", "sns.regplot(\n", - " data=df_default[df_default.is_student == 0], x=\"balance\", y=\"is_default\",\n", - " logistic=True, ci=None, scatter=False, label=\"Not Student\",\n", - " ax=ax1\n", - ")\n", - "ax1.axhline(\n", - " y=df_default[df_default.is_student == 1][\"is_default\"].mean(), \n", - " linestyle=\"--\", color=\"orange\", markersize=0\n", - ")\n", - "ax1.axhline(\n", - " y=df_default[df_default.is_student == 0][\"is_default\"].mean(), \n", - " linestyle=\"--\", color=\"blue\", markersize=0\n", + " data=df_default[df_default.is_student == 0],\n", + " x=\"balance\",\n", + " y=\"is_default\",\n", + " logistic=True,\n", + " ci=None,\n", + " scatter=False,\n", + " label=\"Not Student\",\n", + " ax=ax1,\n", ")\n", + "ax1.axhline(y=df_default[df_default.is_student == 1][\"is_default\"].mean(), linestyle=\"--\", color=\"orange\", markersize=0)\n", + "ax1.axhline(y=df_default[df_default.is_student == 0][\"is_default\"].mean(), linestyle=\"--\", color=\"blue\", markersize=0)\n", "ax1.legend()\n", "ax1.set_ylabel(\"Default Rate\")\n", "\n", @@ -578,7 +599,7 @@ "d1_samples = d1.rvs(20)\n", "d2_samples = d2.rvs(20)\n", "mu_bayes = 0\n", - "mu_lda = (d1_samples.mean() + d2_samples.mean())/2" + "mu_lda = (d1_samples.mean() + d2_samples.mean()) / 2" ] }, { @@ -588,7 +609,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -604,7 +625,7 @@ "sns.lineplot(x=xs, y=d1.pdf(xs), color=\"green\", ax=ax1)\n", "sns.lineplot(x=xs, y=d2.pdf(xs), color=\"pink\", ax=ax1)\n", "ax1.axvline(x=mu_bayes, linestyle=\"--\", color=\"black\")\n", - "ax1.set_yticklabels([]);\n", + "ax1.set_yticklabels([])\n", "\n", "sns.histplot(x=d1_samples, color=\"green\", ax=ax2)\n", "sns.histplot(x=d2_samples, color=\"pink\", ax=ax2)\n", @@ -622,7 +643,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "The Bayes error rate is 10.46%, the LDA error rate is 10.49%\n" + "The Bayes error rate is 10.76%, the LDA error rate is 10.75%\n" ] } ], @@ -630,10 +651,18 @@ "d1_samples = d1.rvs(10000)\n", "d2_samples = d2.rvs(10000)\n", "mu_bayes = 0\n", - "mu_lda = (d1_samples.mean() + d2_samples.mean())/2\n", + "mu_lda = (d1_samples.mean() + d2_samples.mean()) / 2\n", "\n", - "bayes_error_rate = (len(d1_samples[d1_samples > mu_bayes]) + len(d2_samples[d2_samples < mu_bayes]))/(len(d1_samples)+len(d2_samples))*100\n", - "lda_error_rate = (len(d1_samples[d1_samples > mu_lda]) + len(d2_samples[d2_samples < mu_lda]))/(len(d1_samples)+len(d2_samples))*100\n", + "bayes_error_rate = (\n", + " (len(d1_samples[d1_samples > mu_bayes]) + len(d2_samples[d2_samples < mu_bayes]))\n", + " / (len(d1_samples) + len(d2_samples))\n", + " * 100\n", + ")\n", + "lda_error_rate = (\n", + " (len(d1_samples[d1_samples > mu_lda]) + len(d2_samples[d2_samples < mu_lda]))\n", + " / (len(d1_samples) + len(d2_samples))\n", + " * 100\n", + ")\n", "print(f\"The Bayes error rate is {bayes_error_rate:.2f}%, the LDA error rate is {lda_error_rate:.2f}%\")" ] }, @@ -683,11 +712,13 @@ } ], "source": [ - "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5), subplot_kw={'projection': \"3d\"})\n", + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5), subplot_kw={\"projection\": \"3d\"})\n", + "\n", "\n", "def gaussian(x, y, mu, cov):\n", " return stats.multivariate_normal(mu, cov).pdf(np.stack((x, y), axis=2))\n", "\n", + "\n", "x = np.linspace(-2.4, 2.5, 100)\n", "y = np.linspace(-2.5, 2.5, 100)\n", "\n", @@ -695,22 +726,22 @@ "Z1 = gaussian(X, Y, mu, cov1)\n", "Z2 = gaussian(X, Y, mu, cov2)\n", "\n", - "ax1.contour3D(X, Y, Z1, 100, cmap='viridis')\n", - "ax1.set_xlabel('x1')\n", - "ax1.set_ylabel('x2')\n", - "ax1.set_zlabel('');\n", + "ax1.contour3D(X, Y, Z1, 100, cmap=\"viridis\")\n", + "ax1.set_xlabel(\"x1\")\n", + "ax1.set_ylabel(\"x2\")\n", + "ax1.set_zlabel(\"\")\n", "ax1.view_init(45, 35)\n", "\n", - "ax2.contour3D(X, Y, Z2, 100, cmap='viridis')\n", - "ax2.set_xlabel('x1')\n", - "ax2.set_ylabel('x2')\n", - "ax2.set_zlabel('');\n", + "ax2.contour3D(X, Y, Z2, 100, cmap=\"viridis\")\n", + "ax2.set_xlabel(\"x1\")\n", + "ax2.set_ylabel(\"x2\")\n", + "ax2.set_zlabel(\"\")\n", "ax2.view_init(45, 35)" ] }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -722,7 +753,7 @@ }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -734,83 +765,87 @@ " largest_eigen_vector = eigen_vectors[:, 0]\n", "else:\n", " largest_eigen_vector = eigen_vectors[:, 1]\n", - "theta = np.arctan(largest_eigen_vector[1]/largest_eigen_vector[0])*180/np.pi\n", + "theta = np.arctan(largest_eigen_vector[1] / largest_eigen_vector[0]) * 180 / np.pi\n", "\n", "chi2_critical_value = stats.chi2(df=2).ppf(0.95)\n", - "width = 2*np.sqrt(chi2_critical_value*lambda1)\n", - "height = 2*np.sqrt(chi2_critical_value*lambda2)" + "width = 2 * np.sqrt(chi2_critical_value * lambda1)\n", + "height = 2 * np.sqrt(chi2_critical_value * lambda2)" ] }, { "cell_type": "code", - "execution_count": 160, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "# grid of points to plot the bayes and LDA regions/lines\n", "N_points_grid = 200\n", - "x_lines = np.linspace(-5, 5, 100*N_points_grid)\n", + "x_lines = np.linspace(-5, 5, 100 * N_points_grid)\n", "xx, yy = np.meshgrid(np.linspace(-5, 5, N_points_grid), np.linspace(-5, 5, N_points_grid))\n", "X = np.c_[xx.ravel(), yy.ravel()]" ] }, { "cell_type": "code", - "execution_count": 161, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "def bayes_regions_lda(mu1, mu2, mu3, cov, N, X, pi1=1, pi2=1, pi3=1):\n", " inv_cov = np.linalg.inv(cov)\n", - " delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mu1)) - 1/2*np.dot(mu1, np.dot(inv_cov, mu1)) + np.log(pi1)\n", - " delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mu2)) - 1/2*np.dot(mu2, np.dot(inv_cov, mu2)) + np.log(pi2)\n", - " delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mu3)) - 1/2*np.dot(mu3, np.dot(inv_cov, mu3)) + np.log(pi3)\n", + " delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mu1)) - 1 / 2 * np.dot(mu1, np.dot(inv_cov, mu1)) + np.log(pi1)\n", + " delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mu2)) - 1 / 2 * np.dot(mu2, np.dot(inv_cov, mu2)) + np.log(pi2)\n", + " delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mu3)) - 1 / 2 * np.dot(mu3, np.dot(inv_cov, mu3)) + np.log(pi3)\n", " region1 = np.logical_and(delta1_fun(X) > delta2_fun(X), delta1_fun(X) > delta3_fun(X))\n", " region2 = np.logical_and(delta2_fun(X) > delta1_fun(X), delta2_fun(X) > delta3_fun(X))\n", " region3 = np.logical_and(delta3_fun(X) > delta1_fun(X), delta3_fun(X) > delta2_fun(X))\n", - " \n", + "\n", " return region1, region2, region3, delta1_fun, delta2_fun, delta3_fun" ] }, { "cell_type": "code", - "execution_count": 162, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "def bayes_lines_lda(mu1, mu2, mu3, cov, N, xs):\n", " inv_cov = np.linalg.inv(cov)\n", - " x_coef_12, y_coef_12 = np.dot(inv_cov, mu1-mu2)\n", - " cte_coef_12 = -1/2*np.dot(mu1+mu2, np.dot(inv_cov, mu1-mu2))\n", + " x_coef_12, y_coef_12 = np.dot(inv_cov, mu1 - mu2)\n", + " cte_coef_12 = -1 / 2 * np.dot(mu1 + mu2, np.dot(inv_cov, mu1 - mu2))\n", "\n", - " x_coef_13, y_coef_13 = np.dot(inv_cov, mu1-mu3)\n", - " cte_coef_13 = -1/2*np.dot(mu1+mu3, np.dot(inv_cov, mu1-mu3))\n", + " x_coef_13, y_coef_13 = np.dot(inv_cov, mu1 - mu3)\n", + " cte_coef_13 = -1 / 2 * np.dot(mu1 + mu3, np.dot(inv_cov, mu1 - mu3))\n", "\n", - " x_coef_23, y_coef_23 = np.dot(inv_cov, mu2-mu3)\n", - " cte_coef_23 = -1/2*np.dot(mu2+mu3, np.dot(inv_cov, mu2-mu3))\n", + " x_coef_23, y_coef_23 = np.dot(inv_cov, mu2 - mu3)\n", + " cte_coef_23 = -1 / 2 * np.dot(mu2 + mu3, np.dot(inv_cov, mu2 - mu3))\n", "\n", " # Bayes lines\n", - " ys_12 = -(x_coef_12*xs + cte_coef_12)/y_coef_12\n", - " ys_13 = -(x_coef_13*xs + cte_coef_13)/y_coef_13\n", - " ys_23 = -(x_coef_23*xs + cte_coef_23)/y_coef_23\n", + " ys_12 = -(x_coef_12 * xs + cte_coef_12) / y_coef_12\n", + " ys_13 = -(x_coef_13 * xs + cte_coef_13) / y_coef_13\n", + " ys_23 = -(x_coef_23 * xs + cte_coef_23) / y_coef_23\n", " center_idx = np.argmin(np.abs(ys_12 - ys_13))\n", - " \n", - " return ys_12, ys_13, ys_23, center_idx\n" + "\n", + " return ys_12, ys_13, ys_23, center_idx" ] }, { "cell_type": "code", - "execution_count": 163, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ - "bayes_region1, bayes_region2, bayes_region3, bayes_delta1, bayes_delta2, bayes_delta3 = bayes_regions_lda(mu1, mu2, mu3, cov, N_points_grid, X)\n", - "bayes_line_12, bayes_line_13, bayes_line_23, bayes_center_idx = bayes_lines_lda(mu1, mu2, mu3, cov, 100*N_points_grid, x_lines)" + "bayes_region1, bayes_region2, bayes_region3, bayes_delta1, bayes_delta2, bayes_delta3 = bayes_regions_lda(\n", + " mu1, mu2, mu3, cov, N_points_grid, X\n", + ")\n", + "bayes_line_12, bayes_line_13, bayes_line_23, bayes_center_idx = bayes_lines_lda(\n", + " mu1, mu2, mu3, cov, 100 * N_points_grid, x_lines\n", + ")" ] }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -821,26 +856,30 @@ "sample3 = stats.multivariate_normal(mean=mu3, cov=cov).rvs(N_sample)\n", "\n", "# LDA prediction\n", - "pi1 = pi2 = pi3 = N_sample/N_classes # priors\n", - "est_mu1 = 1/N_sample*np.sum(sample1, axis=0)\n", - "est_mu2 = 1/N_sample*np.sum(sample2, axis=0)\n", - "est_mu3 = 1/N_sample*np.sum(sample3, axis=0)\n", - "est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False))/N_classes" + "pi1 = pi2 = pi3 = N_sample / N_classes # priors\n", + "est_mu1 = 1 / N_sample * np.sum(sample1, axis=0)\n", + "est_mu2 = 1 / N_sample * np.sum(sample2, axis=0)\n", + "est_mu3 = 1 / N_sample * np.sum(sample3, axis=0)\n", + "est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False)) / N_classes" ] }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ - "lda_region1, lda_region2, lda_region3, lda_delta1, lda_delta2, lda_delta3 = bayes_regions_lda(est_mu1, est_mu2, est_mu3, est_cov, N_points_grid, X, pi1, pi2, pi3)\n", - "lda_line_12, lda_line_13, lda_line_23, lda_center_idx = bayes_lines_lda(est_mu1, est_mu2, est_mu3, est_cov, 100*N_points_grid, x_lines)" + "lda_region1, lda_region2, lda_region3, lda_delta1, lda_delta2, lda_delta3 = bayes_regions_lda(\n", + " est_mu1, est_mu2, est_mu3, est_cov, N_points_grid, X, pi1, pi2, pi3\n", + ")\n", + "lda_line_12, lda_line_13, lda_line_23, lda_center_idx = bayes_lines_lda(\n", + " est_mu1, est_mu2, est_mu3, est_cov, 100 * N_points_grid, x_lines\n", + ")" ] }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -849,97 +888,123 @@ }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Bayes accuracy: 100.0%, 85.0%, 85.0%\n", - "LDA accuracy: 95.0%, 95.0%, 80.0%\n" + "Bayes accuracy: 95.0%, 100.0%, 85.0%\n", + "LDA accuracy: 95.0%, 95.0%, 85.0%\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", "\n", - "ellipse1 = Ellipse(mu1, width=width, height=height, angle=theta, facecolor='none', edgecolor=\"green\")\n", - "ellipse2 = Ellipse(mu2, width=width, height=height, angle=theta, facecolor='none', edgecolor=\"orange\")\n", - "ellipse3 = Ellipse(mu3, width=width, height=height, angle=theta, facecolor='none', edgecolor=\"blue\")\n", + "ellipse1 = Ellipse(mu1, width=width, height=height, angle=theta, facecolor=\"none\", edgecolor=\"green\")\n", + "ellipse2 = Ellipse(mu2, width=width, height=height, angle=theta, facecolor=\"none\", edgecolor=\"orange\")\n", + "ellipse3 = Ellipse(mu3, width=width, height=height, angle=theta, facecolor=\"none\", edgecolor=\"blue\")\n", "ax1.add_patch(ellipse1)\n", "ax1.add_patch(ellipse2)\n", "ax1.add_patch(ellipse3)\n", "\n", "# Bayes lines\n", - "ax1.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color='black')\n", - "ax1.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color='black')\n", - "ax1.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color='black')\n", + "ax1.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color=\"black\")\n", + "ax1.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color=\"black\")\n", + "ax1.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color=\"black\")\n", "# Bayes regions\n", - "ax1.contourf(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.1, colors='green', levels=[0.5, 1.0])\n", - "ax1.contourf(xx, yy, bayes_region2.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", - "ax1.contourf(xx, yy, bayes_region3.reshape(xx.shape), alpha=0.1, colors='blue', levels=[0.5, 1.0])\n", + "ax1.contourf(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.1, colors=\"green\", levels=[0.5, 1.0])\n", + "ax1.contourf(xx, yy, bayes_region2.reshape(xx.shape), alpha=0.1, colors=\"orange\", levels=[0.5, 1.0])\n", + "ax1.contourf(xx, yy, bayes_region3.reshape(xx.shape), alpha=0.1, colors=\"blue\", levels=[0.5, 1.0])\n", "\n", "ax1.set_xlim(-5, 5)\n", - "ax1.set_ylim(-5, 5);\n", + "ax1.set_ylim(-5, 5)\n", "\n", "# sample points\n", - "ax2.scatter(sample1[:,0], sample1[:,1], color='green')\n", - "ax2.scatter(sample2[:,0], sample2[:,1], color='orange')\n", - "ax2.scatter(sample3[:,0], sample3[:,1], color='blue')\n", + "ax2.scatter(sample1[:, 0], sample1[:, 1], color=\"green\")\n", + "ax2.scatter(sample2[:, 0], sample2[:, 1], color=\"orange\")\n", + "ax2.scatter(sample3[:, 0], sample3[:, 1], color=\"blue\")\n", "\n", "# Bayes lines\n", - "ax2.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color='black')\n", - "ax2.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color='black')\n", - "ax2.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color='black')\n", + "ax2.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color=\"black\")\n", + "ax2.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color=\"black\")\n", + "ax2.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color=\"black\")\n", "\n", "# LDA lines\n", - "ax2.plot(x_lines[:lda_center_idx], lda_line_12[:lda_center_idx], \"-\", color='black')\n", - "ax2.plot(x_lines[lda_center_idx:], lda_line_13[lda_center_idx:], \"-\", color='black')\n", - "ax2.plot(x_lines[lda_center_idx:], lda_line_23[lda_center_idx:], \"-\", color='black')\n", + "ax2.plot(x_lines[:lda_center_idx], lda_line_12[:lda_center_idx], \"-\", color=\"black\")\n", + "ax2.plot(x_lines[lda_center_idx:], lda_line_13[lda_center_idx:], \"-\", color=\"black\")\n", + "ax2.plot(x_lines[lda_center_idx:], lda_line_23[lda_center_idx:], \"-\", color=\"black\")\n", "# LDA regions\n", - "ax2.contourf(xx, yy, lda_region1.reshape(xx.shape), alpha=0.1, colors='green', levels=[0.5, 1.0])\n", - "ax2.contourf(xx, yy, lda_region2.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", - "ax2.contourf(xx, yy, lda_region3.reshape(xx.shape), alpha=0.1, colors='blue', levels=[0.5, 1.0])\n", + "ax2.contourf(xx, yy, lda_region1.reshape(xx.shape), alpha=0.1, colors=\"green\", levels=[0.5, 1.0])\n", + "ax2.contourf(xx, yy, lda_region2.reshape(xx.shape), alpha=0.1, colors=\"orange\", levels=[0.5, 1.0])\n", + "ax2.contourf(xx, yy, lda_region3.reshape(xx.shape), alpha=0.1, colors=\"blue\", levels=[0.5, 1.0])\n", "\n", "ax2.set_xlim(-5, 5)\n", - "ax2.set_ylim(-5, 5);\n", + "ax2.set_ylim(-5, 5)\n", "\n", - "pred_green = sum([np.logical_and(bayes_delta1(x) > bayes_delta2(x), bayes_delta1(x) > bayes_delta3(x)) for x in sample1])/N_sample*100\n", - "pred_orange = sum([np.logical_and(bayes_delta2(x) > bayes_delta1(x), bayes_delta2(x) > bayes_delta3(x)) for x in sample2])/N_sample*100\n", - "pred_blue = sum([np.logical_and(bayes_delta3(x) > bayes_delta2(x), bayes_delta3(x) > bayes_delta1(x)) for x in sample3])/N_sample*100\n", - "print(f'Bayes accuracy: {pred_green:.1f}%, {pred_orange:.1f}%, {pred_blue:.1f}%')\n", - "est_pred_green = sum([np.logical_and(lda_delta1(x) > lda_delta2(x), lda_delta1(x) > lda_delta3(x)) for x in sample1])/N_sample*100\n", - "est_pred_orange = sum([np.logical_and(lda_delta2(x) > lda_delta1(x), lda_delta2(x) > lda_delta3(x)) for x in sample2])/N_sample*100\n", - "est_pred_blue = sum([np.logical_and(lda_delta3(x) > lda_delta1(x), lda_delta3(x) > lda_delta2(x)) for x in sample3])/N_sample*100\n", - "print(f'LDA accuracy: {est_pred_green:.1f}%, {est_pred_green:.1f}%, {est_pred_blue:.1f}%')" + "pred_green = (\n", + " sum([np.logical_and(bayes_delta1(x) > bayes_delta2(x), bayes_delta1(x) > bayes_delta3(x)) for x in sample1])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "pred_orange = (\n", + " sum([np.logical_and(bayes_delta2(x) > bayes_delta1(x), bayes_delta2(x) > bayes_delta3(x)) for x in sample2])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "pred_blue = (\n", + " sum([np.logical_and(bayes_delta3(x) > bayes_delta2(x), bayes_delta3(x) > bayes_delta1(x)) for x in sample3])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "print(f\"Bayes accuracy: {pred_green:.1f}%, {pred_orange:.1f}%, {pred_blue:.1f}%\")\n", + "est_pred_green = (\n", + " sum([np.logical_and(lda_delta1(x) > lda_delta2(x), lda_delta1(x) > lda_delta3(x)) for x in sample1])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "est_pred_orange = (\n", + " sum([np.logical_and(lda_delta2(x) > lda_delta1(x), lda_delta2(x) > lda_delta3(x)) for x in sample2])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "est_pred_blue = (\n", + " sum([np.logical_and(lda_delta3(x) > lda_delta1(x), lda_delta3(x) > lda_delta2(x)) for x in sample3])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "print(f\"LDA accuracy: {est_pred_green:.1f}%, {est_pred_green:.1f}%, {est_pred_blue:.1f}%\")" ] }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ - "X = df_default[['balance', 'income', 'is_student']].values\n", + "X = df_default[[\"balance\", \"income\", \"is_student\"]].values\n", "y = df_default.default.values\n", "\n", - "lda = LinearDiscriminantAnalysis(solver='svd').fit(X, y)" + "lda = LinearDiscriminantAnalysis(solver=\"svd\").fit(X, y)" ] }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1006,18 +1071,18 @@ " Total 9667 333 10000" ] }, - "execution_count": 144, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "classification.get_confusion_matrix(lda, X, y, labels=['No', 'Yes'])" + "classification.get_confusion_matrix(lda, X, y, labels=[\"No\", \"Yes\"])" ] }, { "cell_type": "code", - "execution_count": 145, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1084,18 +1149,18 @@ " Total 1.000 1.000 2.00" ] }, - "execution_count": 145, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "classification.get_confusion_matrix(lda, X, y, labels=['No', 'Yes'], norm=\"true\").round(3)" + "classification.get_confusion_matrix(lda, X, y, labels=[\"No\", \"Yes\"], norm=\"true\").round(3)" ] }, { "cell_type": "code", - "execution_count": 146, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -1116,14 +1181,24 @@ ], "source": [ "y_pred = lda.predict(X)\n", - "print(classification_report(y, y_pred, target_names=['No', 'Yes'], digits=3))" + "print(classification_report(y, y_pred, target_names=[\"No\", \"Yes\"], digits=3))" ] }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 33, "metadata": {}, "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, { "data": { "image/png": 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\n", @@ -1138,12 +1213,12 @@ } ], "source": [ - "plot_roc_curve(lda, X, y);" + "RocCurveDisplay.from_estimator(lda, X, y)" ] }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1210,20 +1285,20 @@ " Total 9667 333 10000" ] }, - "execution_count": 152, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "y_pred = (lda.predict_proba(X)[:, 1] > 0.2)\n", + "y_pred = lda.predict_proba(X)[:, 1] > 0.2\n", "y_pred = np.array([\"Yes\" if y_i else \"No\" for y_i in y_pred])\n", - "classification.get_confusion_matrix(lda, X, y, labels=['No', 'Yes'], y_pred=y_pred)" + "classification.get_confusion_matrix(lda, X, y, labels=[\"No\", \"Yes\"], y_pred=y_pred)" ] }, { "cell_type": "code", - "execution_count": 153, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -1243,7 +1318,7 @@ } ], "source": [ - "print(classification_report(y, y_pred, target_names=['No', 'Yes'], digits=3))" + "print(classification_report(y, y_pred, target_names=[\"No\", \"Yes\"], digits=3))" ] }, { @@ -1255,7 +1330,7 @@ }, { "cell_type": "code", - "execution_count": 176, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -1268,41 +1343,41 @@ }, { "cell_type": "code", - "execution_count": 179, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "N = 500\n", "K = 2\n", - "sample1 = np.random.multivariate_normal(mean1, cov1, (N,)) \n", - "sample2 = np.random.multivariate_normal(mean2, cov2, (N,)) " + "sample1 = np.random.multivariate_normal(mean1, cov1, (N,))\n", + "sample2 = np.random.multivariate_normal(mean2, cov2, (N,))" ] }, { "cell_type": "code", - "execution_count": 186, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "def bayes_regions_qda(mu1, mu2, cov1, cov2, N, X, pi1=1, pi2=1):\n", " inv_cov1 = np.linalg.inv(cov1)\n", " inv_cov2 = np.linalg.inv(cov2)\n", - " delta1_fun = lambda Xin: -1/2*((Xin-mean1).dot(inv_cov1)*(Xin-mean1)).sum(axis=1) + np.log(pi1)\n", - " delta2_fun = lambda Xin: -1/2*((Xin-mean2).dot(inv_cov2)*(Xin-mean2)).sum(axis=1) + np.log(pi2)\n", + " delta1_fun = lambda Xin: -1 / 2 * ((Xin - mean1).dot(inv_cov1) * (Xin - mean1)).sum(axis=1) + np.log(pi1)\n", + " delta2_fun = lambda Xin: -1 / 2 * ((Xin - mean2).dot(inv_cov2) * (Xin - mean2)).sum(axis=1) + np.log(pi2)\n", " region1 = delta1_fun(X) > delta2_fun(X)\n", " region2 = delta2_fun(X) > delta1_fun(X)\n", - " \n", + "\n", " return region1, region2, delta1_fun, delta2_fun" ] }, { "cell_type": "code", - "execution_count": 225, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "def plot_QDA(mean1, mean2, cov1, cov2, ax):\n", - " \n", + "\n", " # grid of points to plot the bayes and LDA regions/lines\n", " N_points_grid = 200\n", " xx, yy = np.meshgrid(np.linspace(-4, 4, N_points_grid), np.linspace(-4, 3, N_points_grid))\n", @@ -1310,68 +1385,86 @@ "\n", " N = 100\n", " K = 2\n", - " sample1 = np.random.multivariate_normal(mean1, cov1, (N,)) \n", - " sample2 = np.random.multivariate_normal(mean2, cov2, (N,)) \n", + " sample1 = np.random.multivariate_normal(mean1, cov1, (N,))\n", + " sample2 = np.random.multivariate_normal(mean2, cov2, (N,))\n", "\n", - " pi1 = pi2 = N/K\n", + " pi1 = pi2 = N / K\n", "\n", - " bayes_region1, bayes_region2, bayes_delta1, bayes_delta2 = bayes_regions_qda(mean1, mean2, cov1, cov2, N_points_grid, X, pi1, pi2)\n", + " bayes_region1, bayes_region2, bayes_delta1, bayes_delta2 = bayes_regions_qda(\n", + " mean1, mean2, cov1, cov2, N_points_grid, X, pi1, pi2\n", + " )\n", "\n", " # prediction\n", - " est_mean1 = 1/N*np.sum(sample1, axis=0)\n", - " est_mean2 = 1/N*np.sum(sample2, axis=0)\n", - " est_cov1 = np.cov(sample1, rowvar=False) \n", + " est_mean1 = 1 / N * np.sum(sample1, axis=0)\n", + " est_mean2 = 1 / N * np.sum(sample2, axis=0)\n", + " est_cov1 = np.cov(sample1, rowvar=False)\n", " est_cov2 = np.cov(sample2, rowvar=False)\n", - " qda_region1, qda_region2, qda_delta1, qda_delta2 = bayes_regions_qda(est_mu1, est_mu2, est_cov1, est_cov2, N_points_grid, X, pi1, pi2)\n", + " qda_region1, qda_region2, qda_delta1, qda_delta2 = bayes_regions_qda(\n", + " est_mean1, est_mean2, est_cov1, est_cov2, N_points_grid, X, pi1, pi2\n", + " )\n", "\n", " # Bayes regions\n", - " ax.contourf(xx, yy, qda_region1.reshape(xx.shape), alpha=0.1, colors='orange', levels=[0.5, 1.0])\n", - " ax.contourf(xx, yy, qda_region2.reshape(xx.shape), alpha=0.1, colors='blue', levels=[0.5, 1.0])\n", + " ax.contourf(xx, yy, qda_region1.reshape(xx.shape), alpha=0.1, colors=\"orange\", levels=[0.5, 1.0])\n", + " ax.contourf(xx, yy, qda_region2.reshape(xx.shape), alpha=0.1, colors=\"blue\", levels=[0.5, 1.0])\n", "\n", " # Samples\n", - " ax.scatter(sample1[:,0], sample1[:,1], s=20, c='orange', marker='o',)\n", - " ax.scatter(sample2[:,0], sample2[:,1], s=20, c='blue', marker='o',)\n", - " ax.set_xlabel('X1');\n", - " ax.set_ylabel('X2');\n", + " ax.scatter(\n", + " sample1[:, 0],\n", + " sample1[:, 1],\n", + " s=20,\n", + " c=\"orange\",\n", + " marker=\"o\",\n", + " )\n", + " ax.scatter(\n", + " sample2[:, 0],\n", + " sample2[:, 1],\n", + " s=20,\n", + " c=\"blue\",\n", + " marker=\"o\",\n", + " )\n", + " ax.set_xlabel(\"X1\")\n", + " ax.set_ylabel(\"X2\")\n", "\n", " # lines\n", - " ax.contour(xx, yy, qda_region1.reshape(xx.shape), alpha=0.5, colors='green');\n", - " ax.contour(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.5, colors='purple');\n", - " \n", + " ax.contour(xx, yy, qda_region1.reshape(xx.shape), alpha=0.5, colors=\"green\")\n", + " ax.contour(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.5, colors=\"purple\")\n", + "\n", " ax.set_xlim(-4, 4)\n", - " ax.set_ylim(-4, 3);\n", - " \n", - " pred_green = sum(bayes_delta1(sample1) > bayes_delta2(sample1))/N*100\n", - " pred_orange = sum(bayes_delta2(sample2) > bayes_delta1(sample2))/N*100\n", - " print('Bayes accuracy: ', np.round(pred_green, 1), np.round(pred_orange, 1))\n", - " est_pred_green = sum(qda_delta1(sample1) > qda_delta2(sample1))/N*100\n", - " est_pred_orange = sum(qda_delta2(sample2) > qda_delta1(sample2))/N*100\n", - " print('QDA accuracy: ', np.round(est_pred_green, 1), np.round(est_pred_orange, 1))" + " ax.set_ylim(-4, 3)\n", + "\n", + " pred_green = sum(bayes_delta1(sample1) > bayes_delta2(sample1)) / N * 100\n", + " pred_orange = sum(bayes_delta2(sample2) > bayes_delta1(sample2)) / N * 100\n", + " print(\"Bayes accuracy: \", np.round(pred_green, 1), np.round(pred_orange, 1))\n", + " est_pred_green = sum(qda_delta1(sample1) > qda_delta2(sample1)) / N * 100\n", + " est_pred_orange = sum(qda_delta2(sample2) > qda_delta1(sample2)) / N * 100\n", + " print(\"QDA accuracy: \", np.round(est_pred_green, 1), np.round(est_pred_orange, 1))" ] }, { "cell_type": "code", - "execution_count": 226, + "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Bayes accuracy: 91.0 87.0\n", - "QDA accuracy: 91.0 87.0\n", - "Bayes accuracy: 87.0 93.0\n", - "QDA accuracy: 86.0 94.0\n" + "Bayes accuracy: 89.0 83.0\n", + "QDA accuracy: 88.0 80.0\n", + "Bayes accuracy: 92.0 97.0\n", + "QDA accuracy: 92.0 99.0\n" ] }, { "data": { - "image/png": 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Sxo0bAxAcHEzt2rVJSkqSyxzZ6B7bkQ0jFxITWpVMXQYvbJ/IjCNf2hRFDooMYdCSiVS5vyYY4dSCg2x4bBH63NLHgAvMuCqfzp6CFk9GKxwttAkPh3feKb7944/NEeiCBAbCrFmiH3R5QOi2dyNnLUXBiLIrC/yeeQb8/OSL7NrynYrWnuUPrwhRJiYmcuLECZo3by63KbLQLKoRO+OW0ii8HnmGPP5v38v8cPQzm45VB2noO3cstQc1Akni4obTrBrzE3lptrfBK6+4Kp/OkQeWJwaROPsgbdIEgoIKb1OrQastvM1oNO8rKF+Ud932NryllsJVDnz+eaZPB0mCJ5/0/NAmb/lOBd6H7M5zVlYWzzzzDK+99hrBwcFymyMb1UOrsS1uCbGhMeiNetZfWG7zsUqNim5fDqfxw+1QqBRcP3CZ5UNnknnVtjZ45RVX5NM5I67ujFa4QvSrVwdDkVk+BgO8957I8SvvCN32PrwhP9hVzqal83z5pWP2OBMB94bvVOCdyOo863Q6nnnmGQYNGkTv3r3lNMUrqBQQRrWQaJDgROoRNl1cbfOxkkKi/Zu9aD2lG0qNirRzqRydvtuN1vo+rsin81ZxdYVd1tJLHnxQjO8uzwjd9k68IT/YVXroivO4IgLuDd+pwDuRzXk2mUy8/vrr1K5dm0mTJsllhtfxWde3iQqKIEOXzhMbRzLv+I82HytJEg3GtsI/PBCTCVL+voJBq3ejtfLhipw6V+Qee6u4usoua+klIsevfCJ023txVs9coamO6I6l6zqrX66KgItuGgJryOY8HzhwgGXLlrFnzx6GDBnCkCFD2LZtm1zmeA1tq7Zgx5il1A2rSa4xl7d2/5tP979jcxs6v4r+VGlfE0mSuLYvkTUT5qPL0pZ+oA/hyqIYZ3OPvVVcXWmXcJQF+Qjd9m4c1TNXaaq9umPtus7qlytXBD1RnyLwPSSTlzYHTkxMpEePHmxatYCYqtFym+NxrmemMGDpeA5d/xsFCkbeM5H/6/ANaqW61GONBiO73ljN6YWHMOqNVGoURd+fHyQo0vdzE1NTzSKbW6Ae0t/fLGpyOndytIeyBW+1S0489Z1cu5ZIXFwPNm3aRExMjPsu5EXk6/aCBZuIji4f9+zruENTbfkds+W6jv6ueutzQuDd2KPZshcMCiwTGVyZrWMW07NGR0yYWHR6No9uGEGOLqfUYxVKBR3/bwAtn+uCUqPixvHrLB82k1vnfL9E2FtzjL01OuutdsmFL4xFFwg8iTs01RbdseW6juqXt64ICsoOwnn2YoI0QSwfPoe4hkOQkNh0aSWjVvbgZs6NUo+VJIlWz3bm/g/6ow5Uk3khjZUPzCbpgG+XCXtrjrHAeVzZG9ba+UXbKYGgMHJpqruvK9ItBO5EOM9ejkalYU7/L3iu7aOoFWoOp/zJsBUduJxx0abjG4xpSffpI/Cr6E9OSjZrJswnYf0JN1vtPkREoWziiYiwt65aCARyIpemeuK6vrLy5srAgbuDEAIzwnn2ARSSgo86v8YnXV7HX+nPP2mnGLq8E3+n/GXT8TW616Pf/HEERgajS9ey+el4js/db3MRordRliMKnhY+bxBaT0WExaqFQGAZuTS16HWH909Gnb4PhTbZMwZ4Aa4MHIi0NM8hnGcfQZIk/t1mMnMHfEGoOpRr2YmMWd2TnZc32XR8RPNqDFo6idBalTDm6tk9dS37P9nisw60r0QU7MHTwufp61lz1D0VERarFgKBdeTS1PzrVtMvIHJPLOF/9SJyTyz+SQs8a4gMuDJwINLSPItKbgME9vFA/QFEBlZm5PLHSc5OZfL6YXzY4TuG3zO21GNDY8MYvHQiax9aQOrRq/z17S4yk9Lp/N9BKNVKD1jvXZRWye3JThUFhS+/QnzKFOjUyf0TCD1xvfh48/XUanO0d9q0u9EtT0aEhw4136PoQOJe9ry7nop+lYptD6gcRItnOuEX4i+DVQJvRaFNpuKpySiMOYC5KL7iqclcD+uJURMhr3FuJD9wULArSH7gwF5tcuW5BKUjnGcfpFP1dmwZ/RsDlk7gQloiL+2YzNXsSzzV/GUkSSrx2IDKwQxc9BAbH/+Ny9vPcnbxEXJTsuk5fSTqwNLb4JUVSnLmbPnc1Xha+Dx5PWuOeuPGkJVldmKnTTNvK/h9u0vww8PFw8TdnF97kmB98daYkgSXtv5D+7f7oFRZfmFXBaqp3KQKkqJkLROUHZS5CSBpyHecAZDUKHMTXOY8e2PbTlcGDkRammcRzrOP0rByPXbGxdN/yXiOJp/i0/1vkZR1hbfv+wylouQosjpIQ+/ZY9jx8gr+iT9K4uYzrBw1h75zxxFQKdApu7xRoIpSWtTV0ufPP2929urVc49NnhY+T17PkqMO0Ls3+PnddZb37vX+/3cEthFcpQKhhBbbnnUtnZsnk1n/0C9mT9oCkkIipkddun0xHJWfeESVBwz+NcFUZJiXSWfe7gI8HQyxlfxUMlcEDlx5LkHpCGXyYaqGRLM9bilDlk5ix+W9/HTiW5Kzr/FFt7n4qfxKPFapVtJl2hCCokM58v0fpBy5wrbn4+n70ziH7fFWgSpKaVFXS59rtWZn7/PP3XNPnhY+T17PkqOe/91qbz8vp0yBtWtdf22BPAz8bYLFISmnfzvMn+9tQJ+jAyvlFoY8PQmrTvLrga9Q+1teDZOUCu4Z3Zxmj99f6mqbwPsxaiK4VX8mFU9NBkkNJh236s90SdTZ0ylqttqUHyhwZSqZSEvzHMJ59nFC/UJYO3I+41c9Q/yZtaxKWELy6iRm91lOiF/xyE9BJIVEm5e7cXnnOVKOXCX94i2MBiMKpf11pN4oUNYoLepq6XMwO3ruvKeCwhcUZE5pSE113/fnKaEt6qjn5ZmDjnl5d/cxmYpHor3xxUtgG98d+YzAxCAAooOqMrbBo6iVauqPbkl02xpkXL5l9dhzy49zZslf5FzLoKSRUPs/2sz1Q5epULt4bnU+NXrWJ7q1WLf2BXKj4rge1hNlbgIG/5oYNRF2r2Ra2t/bcoGtBZlcZYtIS/MMwnkuA/ip/Fgw6Fue3zSV74/M48+kHQxb0Zn5fdcQFVylxGMlSaJSoyhSj14l/Vwqm55eTLf/2b9cWppAeVM6R2lR1/zPn3/+bmQ0H3eLbng4bN/uuQi+p4S26ItB376FP893pAtGor3xxUtgG/NOfoc+WA9gHvB0cTVvtv8UpaSASpj/WCA6qBrVOtYmomVVruxMsHr+tHMp3DhxnYQ1J61lfwBwfPY+7n2rN1Xb1yz2mVKtJDimgohcuwFbx3MX3ceoibgTbbZ3JdPa/t6UC+xLQSZByUgmL+1VlpiYSI8ePdi0agExVaPlNscnMJlMfPznt7zzx+fkGfKoFhTLz/1WUy+sQYnH6fP0bHv2d86vOYHJZCKqTQx9fhprV0V8aqq53VlB59nf35zH6kln0B5KE/gzZ8zR0IIOdP49uUvoSvoey5K4/v574Ui0QlH4nkNCzL1fW7SQy0LnuXYtkbi4HmzatImYmOIpDGWRfN3OGpOOKcT8aEnOvoHBZCBIVbyAsCiRAVWY2ed3mzRr+5TlXN2dYLXdplFrQJuWi6SSUFgIBigUCuoOb8J97/RzaLVNYBlbnN7S9rFXB0vbv6DeyPkMOnzY3Bo0I+PutrKgdWUFezRbRJ7LEJIk8Z/2T1M1OJKnN75JYlYCI1Z2Y0aPxbSt2sHqcSo/Fd2+GU7A1LWcmHeQpH2XWDFsNn3njSM4uuTUj3ysRXPBe9+0S4u61qtnznH2ZAGGty0xuovSItGiSty32TBqIVWrRmEymfhk73S+ODCLPENuiceYMHEu4zTDV3SiVoW6SFiOCMeG1OGDDt/Q7ath6DK15pwfC+TcyGbjY4u49U8KxjxDsc8NBh0nfj7AlT0X0QRp7mxXKBU0eaw9tfo2tOOOBWBbZNWWfezVwdL295ZcYGej4N60glveEc5zGWR8k5FUCYpizIp/cSP3OhPWD2Bal1n0rzXc6jEKpYL73u1HUJUKHPhsKzdPJbN86Cz6/TyO8FgK5aFZw5JAHT7s286gq0W3NPHzpiVGd1Pw5UVUiZctQvxCqHC75uL9Tv+hT62uJKRdLPGY1NxbfPDH19zU3uTw9X1W9zt0fS9/p/7FuIaPobCSclE5MJp+sUMZtHQSFzeexqgt7jwnrD3Jxc1nSDtdeJqdyQTJR65wbWJbQmMqFjsuKDqE2N4NRCs9zP2ZCz4bbHF6bdnHXh20ZX9vyAV2plDbVwryywvCeS6j9KzVmU2jFzA4fhKJGVd5ZsuDXMv8iElN/mU1x0+SJJo/1YGAyGD+eGMNWYnprBw+nVH/mktsoxQwablVfya5UXFWr1tUoMqCM+gq0bVF/MLD4Z134M03Qak0P8hd5Uh6c9TCWyJDAtcjSRKdq7enc/X2pe7bvXoH3tz5Cdl6y6WCOqOefVf/4vStv3l3zwtWz6OQFPSoPpAPO35Lpb7F6z5CNRWp+0AzDn25nat7LhT6LOPiLbIS0/j7xz0W2+lJComagxpx35u9USjupnso/VSoC0Swyzr+SQtud8fQ3Hk2VK8eV6re2+ro2uNk+lKbNke0TuRKex/CeS7DNI9qzPa4JfRfPJ6TN87y3t6XuJZ9hVfu/QCFZD3H754RzQmKCmHzU7+RdzObXz8dzuBHVtCo3Um7pz75kqi5E1vFLz4e3njj7sNFqXTN9X0hauENkSGBvDSPaszyB+aUuM/8v5fwn+3/R47OehpIujaTdRd+54+rWy32va8RUosZPZfS+vmuxT4zp3v8yo0T1y2eW5eZx/n4YyRuOlPIeVZolLR+qSsNRrcq0f6ygLWJgNr2PZk2LaJEvbf1mVDUyQTzSqY1h9OXXsDt1Tpn0vm8OWjiywjnuYwTW6E62+OWMnjpRP68dpgfjk4jKfMqn3T9AY3SepSkWqfaDJrZmnWPrCbjRjDx3w8h/VYIbfudsnvqky+JmruwRfzyHeyCURmDAV54wbkIg4haCMoS4xo/QP/aPcjSZVv83IQ5z/rHIwvI0qVb/Pyv3BQGLWtH04jWxT5XKdQ88vmzdFMWT3MzmUwc/Hwb/yw9as63LojBxK5XV3N22XHU/maHPbpdLE0fva/MpXiUNBFw6NCIUvXe1mdCvpNp68t/WX0Bd3QF1xeCJp7AHS8QwnkuB4QHVmLj6F8ZvfxJ1pzfQvy5eSTnXuPH3ksIUgdZPa5Si+ZMfGssCz4eQcqVymxc0JP01Io0vTfWfhvKqKjZii3id+mSuetEUZRK53LE3VWEKCIaArkIC6hIWEBFq5//r8d7dI/twInUf4p9diPnFt//9QvXsq+QdOFqsc9NwI7EDUxp/S7VQ+5qnSQpaBfVic6fDCamSx3SE24WOu7c8r+5eeo6V3aev30iExc3/8P1I1eoO6hJoRSQ0FphVLon0r6b9iJKmwhoi97b+kwQL/+OreCK782Mu14ghPNcTghQB7Bk6I88vfF15hxdxI4rGxi5oitz+62mcoDlKLJRE4Gp0/+YEPAUv34ygstnq7BnXQeSXt5B10+HoNSI/31sxRbxq14djMbixxoMzuWIW3Pc09IcH8IiIhoCb0aSJIbW68fQepY/71u7K2/s+JgcffHUj6SsZK5np/L+ny+ikAqnfMQExzKnzwpi+hc+sUahocnD7dj+0gpunTEXIBry9KRfuMH5Fce5sOZkof2V/iravdWbe4Y1yzcYpcZFOVoewJ0TAYtSXjoQlYa9K7jie3PvC4TwfsoRaqWa73t/RNWgKD7681uOph5k2LKOzOu3htgKtS0ekxsVh7ZXT/q1/Yd1L57i0raLJKw4zt9NqtLssfs8fAe+TWnil+9gP/fcXWdXpYLPPnPuF72o456bC3o9PP64Y46vuwRJRLIFnqJHbCd6xHay+NnFtEQGLZ3IuVuXMBWYIa436jmXfppBy9oTpAopdMy90R35tMsMenz7wJ1tBp2BXa+v5tyKvzEZCrbTM6HP0PLHa6s5+NlWQEJSQp3BTbn3Pz18JsXD0kRAd+CKonNXTCq0F3fomT0ruGWhWN9Z3PkCIZzncoYkSUztOIWqwVG8sOVdzmecYeiKzszp/TvNI9tYPMaoiYDICO7/sCG/959B3q1sUk8medhy5/GEc1baNUoTv3wH+9gx89+bNHGNrQXPO2mSeTBJfqN+ex1fdwiSiGQLvIUaFWLYPW45J2/+U2gAy9HkUzy/+V0ydGlkFsilNplMLD+3kH9unaR5ZOEc6naPdGHww5MwFOgzrcvRsWfqOm6cSCInKdO80QhHv/uD5L+uUCE2DIDA6BCaP9kBlb/ajXfrHAUnAroLZ4vOXTWp0B5KOoenggTh4eaBLHPm3N02Zkz5Cky48wVCTBgsx6z4Zz0TVj1PujadUE1Fvuo2j+41+lndX5+rZ8Ww2aT+fRVJpaDFs51o9UxnnxhvO3cuvP22WcwMBtsF0R6h8wUH0BUTrlw9BbGsTlUszxMGy6puH0o6ypxjv2E03XWGr2ReZ9XZTeiMumKDXVQKNeMbPMGQuqMLbY+UqnLt53Pk3TAXPd44dZ2kfZcwGU13U6MliGhZlXtf641CZS6GCKsfgSbIz3036MU44nS6elKhs9f05LTdsqqr9mLPdEkxYVBgE4Pq9mbdyHkM+30y17KSeWLjSKa2/5KxjR62uH9aloqqL41B938LSD99jUOfbyf7ajodPhjg1eNtf/4ZXn3V/N/5o7YtRVuLirM9zrCvFGe44k3c1e0HRW6ewFdoGdWUllFNC20zmUz878AMph/6CX0Bp1pr0HE16zpzTnzNL6d+LHRMkDqEaSNn0qNGfwCMBiN7pq7j4qYzYDJhMkF2UgbXD1xmzdifyffJg6qE0nfuOCrUrOTeG/VCLK3aleZQu3pSoS1YO8exY9afEfnHuTIaXdq9lJc0OXd1+xLOcznn3qot2R63lH5LxnP2VgJv7H6KpJzLPNfqjUIR5buOZAimvIm8UvdXDGcTOLXgENlJmfSYPsIrlxdTU+Gtt4pvL9rBoqijPHWq+Y+tzrAjoiuHeLnK8XWlIIncPIEvI0kSz7V5lH+1mlQozSNXn8eE1c+y7vy2QpFqEyZSc6/zxMaRVA+tBYBSUhI3ajIPvfkUkiRhMsHfs/Zy8H/bMGj15hYgRkg/d5PfB80gKCLYfFyAmntf70m1+2t59J69AVuCG+6YVFgals9hQpl9GrW6Hrm5dwNNarU5uPPVV66PRpd0L76wSupK3NHtS6RtCAC4npnCgKXjOXT9bxQoGF3/Yf6vwzcoFUqLyz+BGj1f9lrO5fV/YzKaiGhVlb5zxuFfMUC+m7DA4cMwejRkZhbertHA/v1338CL3p9GY/5T8LiS0htuXE3h3o5h5OTerZj394e1ayErq7iDKbd42eq4e8rBt2dpzVcQaRtCtw1GAzsT9xaamJily+a17f/lXIFx5SaTCZVCxYCaI6ld8R4AqgRVo6exPznXzCKUmZjG/o82o83ILXAcqIPU3DOmJX6hZu2NaFGVGt2ttBnxMoqO97YVe1ISfv+9eBH2//5nXV9coUUFz6HX6pnx6MP0aLaLWv86So428M5+fn7mDobuSq2wdC+NG0Pv3ndXYV19TV9GpG0I7CYyuDJbxixmxO+PsuniLhaemsn1rCSm91zApUv+xaKqSj8V0U8Mo2L1YI7P3kvygcssHzaL/vMfJLhqBflupAjVq5s7SxTl3XfvCoW1qLG2SBtTaxEI/6QFNDozmRmPjuGR779GpVahM2gYMwb69i0uwrakeDj6ULEVW97EPengi0E6grKIUqGkS43iXYk6V2vPG7s+5kaOuVf02VsXOJpykuXnFt5Z8VNICtZX68fU+z9DQkFwm8r0aDKSU7MOYrxdgHj98GWyr2VwfPbeO+dWqJU0e/x+7hndAv9KgWiCvTNH2tJ479yoOJuOtWelr1Onwv3z9fqSVxFdoUX557h87ibV/+lGdrYahSGdmY8+zOQfZ6HS+KPTK3jmGZg+3X0pa0XvZfv24o6zq69ZXhDOs+AOwZoglg+fw+S1U/j15Ao2XlrOqJU9+bztcnS6wjl2Oh3UiJWo9EYvgqJD2P/xFtLOpLBsyEz6/DSWyo28I+pUME1BpTKLxnvvwYMP3t3H0vKWwWDeL7/I0Fp6Q8ExtWPbz6ZXoxWcS21AXrvf6TMo3KKDbEn4FQpzTlyXLs49VFyFHDnc5X2QjqD8EBlcmR/6fHzn77m6XB5a8xzbL/0Jtxvk3ci5xcZLK9i9ZOudMeB1KtRn5ke/ExkUBUDm1TQ2PvobmYm3ADAaTGjTcjj8zU7+nr0Xvwr+dPtmOFGt5M2BKhoMsDbe+3pYT5uCBfakV1y6ZF5FzMu7u60kZ9GZ1baix/6x7gbDX/8DjVKL1qBh5qMPc/7rJvxVcSVVGjQC4MsvbbsPR8nX1XxNL+o4O3PN8pI3bQnhPAsKoVFp+GnA/6gSHMWXB2ZxKHk3j+zqyOsfreOD/1S34EhKNHv0PgKjQtj1n1VkX8tk9ei59Jg+gmodLfeO9jS29le2tFTXr1/J4lB0TG1EaArhYUfYeDMJtTrcYkQhKKiwkANkZ8PDD8NnH6XzeKTjDxVXIYr4BALP4a/2Z+Gg6dzKS8NkMmHCxH/3fMO3h+aSa8gGg9mlPpy8l/6/tyX2dq50oDKYV2Z8QB2/+gAYcnVsnbKMa3suoMvWos3IY824+YQ3jAJJQlJINJrQhtqDGnvu3iwEAwwBda2O97ZF5+yp3bDH0XZmta3ose+8A2+/XZtcrUQO5lSNyT/O4vxXDWjWNgKjxnycK4uvS8KSpoP5xcKRa8qdeig3IudZYBGTycSXB2bw2vaPyTHkUCWwOl+2W0FAZjOrjuSVPQlsenwxuTeyUQWq6fDfAXcnaPkAjrxFK7TJRO6Jve3smjEqAjhe7yJtO1Yulss2dao5mm00Fhd0AH8/Iwlf1SMq6Nzd8ylDSW2+EV1oWwfvzH5EmyPnETnPQredwWQysfniTs7eugDApfQrfHFgJtm67Dst8UyYqOhXiX81f5UQv1AAGoY0J/RAAFlJmRz97g9ykjMLnBOUGiUNJ7ah0j2RxHSrR1Bk8J3PXR1JtKaPya0PEHGgdbHt19tfsDv32RZ7bcljdkbzrNXNqNXmmpd8QgPSWPLDHhp17+PQfTiDNRvXr4d6dqbIl9Xng8h5FjiNJEk82+ZRqgRH8ejaV7iWnchjf/Rgeo9fCQ/vbvGYqu1rMmDRBNY9tICsy2nsfHEFOUkZNHv8fp/oBe1I2oC1MbWVoioXiyhMnQpvvGE5Bzuf3DyJHzY8yJtD37270aTD4F/TkVtyGFe3oxMIBPYhSVKxSYgdqrXl033foTPqMAEnU8+QmnODD/e9cmcff6U/r937CYP7jKJar9rsf2cT2jSzl5N1NZ3MxDT+nvEnkkIiICKYnj+OokLNcFZt8uOllySXRhKLrsyZb0yNwpDpkvHetmp20dVHMBeTF3RWnVlts3SsRlM8RUJrCkVdvU+xa1u7D0edakvHWdN0ex1nECuTIHPk+dVXX2Xr1q2Eh4ezcuXKQp+JCIb3sOPiHkaueILk7FQCVcF82GE6w+8Za3X/zKtprBk7j7R/UlEFaxj420TCG0f5hAPtqFhZK/AreL5jx2Cs9a/tDv4aPQlf1SaiQtqdh4qnc57zKfp9lOccN3spi5HnkjQbhG57mhMpZxi+7BGSspIBMJpMZOgyUUkqKmgqEREQxXc9F1HndgePvPRcNjzyK6nHrmHQGTDk6lEFqlD4aTicGsNSHkCPueWoKyKJ1iLP+RFmdxdGW8JauoGrI8/5K41Tp9691pgx5o5NtrygOJoWUdpxrho9Xt4jz7JOthg+fDgzZsyQ0wSBDXSq0Z4to38jtkI1svWZvLRjMt8d/gRr713BVSrQ/MkOKDRKjDoDN8+Yhd1LM4TuEB9vFoQxY8w/f//d9mONmgh0oW2LPQDCw82t7ewRFLWfikNRf5HafCPX21+QzXGGwvY78/0IygZCs72LhpXrsX/8GvZPMP/ZEbeUNlHNMGHiZl4KJ24e4YEVnXl0w0ge2ziS5/dNIuyTGgxb9xg9vxtBQHgghlwD2pvZ1OcUD/MjI1hEY46gVpm4dMk5+/JX5oyKAIzKUIyKgEIRZqMmgmu6thw8HkFqqgu+kFIoWAidkWH+OWWKeXt+ZNbf39yW1N/f9tU2a8eOH292KBcuNLctXbjQ8rXtsdPR+ytoq73PJFvv15cdZ3uRNW2jbdu2JCYmymmCwEYaVq7HjjHx9F8ygWMpJ/lo/xskZJyjb82h1A9rTJXgwm9pEa2qoQn1Jycli12vr0IVoKJmnwYyWV86nugu0aTJ3WhASeh0UK12mEdznEvDVyYoCtyL0GzvI0gTSG1N7J2/bx69iB+PLOBq5jV+/GshqbnJrEuIv/v5xdVMaf0u9es3otuikSStTuD6iRucW/k3UaQQRQr1OM2BzGuoL9Ymu0oUgVEhDtuXGxXH9bCeFiPMni46Ky3dwJb0DmtYK0zPT8k4fNj2VAdH0yI8mU5R3tuLeu9MZYHXUS20CtvjltApph0GDPxyagaT1w+lX3wbdlzeVGjfsLoR9JkzhsCoYHQZWrb8O57jP+83V5J7YQQ6X3QKki86riI8HL74wvyWrrldae3nZ26hp1Z79xu8J74fgUDgPEGaIJ5r8wgfdX2DjaN/oV3VljQMr0vD8LpEBoaTpc/kg70vMWndEMYdHkDlh2vQ49uBVBjdh2QiySAUFUbuV+xhz/MLWdr/R67uu4hRb3RYuy2tzDkaXXUGWzpv5Edmt2+3f6WtpKiuPV0/HJ106Olpra6IYvsqwnkW2EUF/1DWjpjH8Hr9CFD6I0kSqbnJPLJ+GEtOzy+0b0TzagxaMonQWpUw5urZM3Ud+z7eAibvS+HwlOgMHWpexouPh61bYelSOHgQDhwwL+nt3Wtf5CU11RzRcPeSpxihLRD4Hq2im/HHuOUcfXgzRx/ezP4Ja2ge2QiNQoMJI/+kHad/fFs6L2rAseFzePTQZLovfoqqneugClAjIZFzPZO1D85nYacvWTfpF/IKTDh0BnteyF2lc7amG7jDsbcn1cHRtAiRTuE5RLcNgd34q/1ZMOhbjiSf4ErmNZ7Z9CYJaYm8vOMRrmUn8lTzl+8UB4bGhjF46UTWTVxAypGrHJm+i6ykNDp/NBilWinzndzF1u4SrihwsVZZ7c19Nt3dfUMUIgoE7qdqSDQ74+I5mnKSo8kneHHr/5Guu0W69hbzT3zP6dRjNAxvRp8Ph3BfejcyL9/ijzfXkZOcSfbldLIS01g2eCZV769FZMuq1HugucOF4KW9kOdr7eL19XnhP6Eu0zlb0g3clf5gT6qDo2kRJR0ndNZ1COdZ4BBKhZKWUU3MfyKb0H/JeI4mn+LT/W9xLSuRqfd9gVJhdo4DKgcz4NeH2PjEb1zedpazi4+Sm5JDz+9GogpQeU0XjtLEyt2T/+wRNjlykPO/n2PHzH9v0sQ15y3vzfYFAk8SqAmkXdVWtKvaimYRjZh97FfOp11i84Vd7L2+k33Xd7Ho9GxeaPUO97ftRvdfR3L+p6NkX8/k4sbTpP2TSvrZVE4tUJB08BINx7QmsGoFAisH3bmGLUGGkl7I87U2OaMKU146Sq7WtTpXWos7W1baHHVE7WmJ6ujUVUvHCZ11LbKmbbzwwguMGTOG8+fP07lzZ3777Tc5zRE4SNWQaLbHLaVzzL0YMDD3xHc8vSmOPP3dMXrqIA29Z42h7ohmoJBI3HKGlSPnkHszx6tSOKzlcBUcJ6swpKEw5pj/rk2+s48zS4v2drKQKwd5+3bzJMTHH3dNxw058h4FjiM0u2xxb9WWTO/9X1aP+JlX2z1NbGgMlQPDyDHk8NH+1xixogsj9/Ug4vla9PxuJB0/HEhobBgBEcGY9CZOzTvEihFzWNr7Oy5t+wcwO76Re2IJ/6sXkXti8U9aYPX6+WlsBVPWCmrtxWuV0CgLN0v2hM6Vlv7ga52HhM66HjFhUOAy8vR5TFj9LEtPr8FkMtE2qiNz+iy/M/kKwGQ0sf+TLRz9fjcGnZ7Q2pXo9/ODhNYIk9Hy0lGn7yP8r14oDGl3thWc/OfMW70jPTOd7bPpSNTEHb09Dx82P4AyMu5uCwkxP0xbtHDsnN5CWezzXBpCt30brUFLSvYNHlj2KIeTjmM0GdGZdIRpKlE1uDotItoxte1nKHQKdry8gosbT2MymjDqjKgC1HR45346V+vn1OTAglqbnF6Z2GcvkKMNvPO5O/sJ29LX3tU66IlUirKss67EZ/o8C8oWfio/fhn4DU+2mIBSoWRv0g6GrehEUubVO/tICok2L3ej/dTeqPzVpJ+9ycoRc0hL8O5XYIN/TTAVGRd1e/Kfs2/1jkSRnSkMcTRq4o5otyhEFAi8B41SQ9WQaDaPXsSSoT/wvx7vUMmvEmm6W5y4cZQFp2Ywem1Pfjz3BepXK9JnThydPx1MSEwFDDk6dr6+jVUze7NrVXtupdxubyepzZMGbaSg1kaEpjDz0YcJ0GQTEmx0awGcJV20tBLpSh30VARb6KzrEc6zwKUoFUr+1+Nd3uv4En5KP07dPMaQ5fdz5ubJO/tIkkSjCW1pP7UPSn8lOcmZXNr0j4xWl05Jzf6dFVNHhc3SkmdpOOPou0OA818CCn5/ej3s2OH4OQUCgXMEqAPoX6cHT7ScwKbRC3jgnv50qt4OpULJoZQ/+WT/mzyyaShLAxYS0qcyvZbEUalhFEY9HNrclE2/dmfm1Ie5cLIaGTc06Av0oS6Nolo7uuNyDq9Zy8JfFXZ3I7KVM2fghRds00VX6aAnUylEFw7XI5xngcuRJImX2z3Fj70/IkgdRGLWBUas7MreKzsL7RfVujoqfzVGg4kz8UfIS89FoU1Gnb6vUC6xoziSg1zS9XOj4rje/kKxyX/Oiqmzk63s6bPpjKPvLgHu1AkUBZRIrxf5eAKBt9A8qjG/Dv6OzaMX8X7Hl4kOiqCCXwh5hjymHZpKj8VNGbK9I7W+a061zrXxr6hBpTaRdasC8z4ez/RX/83qxzegy9KWfrHbFNXa4AbD3dZPOD4eevcGbRHzrOmiq3TQ03UrjgRbBNYRzrPAbYxr8gBLh/5AJb9K3MhN5qH1A1lzfumdz8PuiaDeyOYolApS/rrCyoHT8F/dyKZCk9JwZDnMlkIXS83+XSGmnhI2Zx19d9h56dLdoTH5iAEsAoF3IUkSL7V7kuOTt3Jgwlq61miPJElk6TK4kHGW8TsG4vdBOCO2TaH3zJEERARgNAaizZJI3PwPK0bOJicl0+brWdJaV5Mf/S3qOEPJuugKHZQjlaI8DzVxNcJ5FriVnjU7s2n0AmJCqpCpy+DfWx5k1tGvMJlMSAqJ9m/1ps3L3VD6KblxTsvst+NIuaiy2M3CVhxZDrOlm0ZJuEJMnRU2WyLtrnD0XS3AIh9PIPAdKviFElshhlUP/MzMvp/yfqeXiA6qTJr2Jk9sHsW35z7lz5iTdFk8hvve6Uv9uJYoNSpSjyaxbPhs0i7ckPsW7mDtBV2jKV0XC+qgI6ucIpXCtxHOs8DtNI9qzPa4JTSoVIc8Qx7v7X2J//vzVTK06eiMOpo/2YGu7zTGL0BLRmpF5rw/gYSTMXYXmuTjyHKYMjfB3L+5IHZe35JT6akJgPZE2r1t+U48RAQC38NP5ceDjR/g5XZPs2XMYmpXrEGOIZv/HX6PF7ZOZOz+vgQNDafjhwNo/04fVAFqMs7dZMWwWVw7mIg2I0/2NqVBQYW7ZuSzaJHtuuhM0Z8tWuypZ4jAPoTzLPAIsRWqs2NsPO2rtsJg0vPDsc/o/GsDev7WjD+v7KDuyI6MfG4JAcE55GYEs3BaHH/vrmmuvLYTRyKZJXXTcBRXVlKXJKCORNq9bfnO2xx6gUBgO/dUqsOOuHjaRjUnSB2IQlJwLv00w1Z05kjyARo92IauXw/Dr4I/OcnZrImby6IuX7Pu4QV25UK7mqws8PMrvM3Pr3jwxRquKPorSYt9rZ90eUI4zwKbSE5WsO+AmuRkx/+XqRQQxsZRCxlYuwcSEjfykjmfcYaJ6wex7NJWwka8w7jXFxJSKRNtjj/Lvh/O4bn2d+FwJJJZUjcNR3BlJXVpAnrsWOGCO/DNnGFvc+gFAlnJS4Wbh80/fYDo4Ei2xS1hz4MrmNnvUypoKpCcc5W4NX14ctMY5oXMpPPsYQRGBGPINZCbksWljWdYPmI22cm250K7kurVoeiAW0myPWXMnUV/YrCJdyOcZ0GpLFjkT2zDSHoNDCe2YSQLfvN3+FwB6gB+G/IDX/Z4hxfaPnYnF/r5bQ/xdVIy0qgDDF40hAp1K2PQSuz7YBN73l+HyWjf8p4jkUxr3TQcwVWiWpqAxsfDpEmQnV34OJEzLBD4MInxsP5e2DXG/DPxd7ktsgk/lR8NwusyttEw1o78meigCDK0t1h1bjE/HvucJxPjuP+XQbT8d0fqDGuKUqPixrEklg+bRVqC53OhnU0Zc2e9hlxTZAW2IZxnQYkkJyuY/FRFcnIUpKUryMlRMPnJik5FoNVKNU+0nMCLjd7k6yYruadCPfIMeXyw7yXePfgJfvU7MSj+EaJax2AyGDn2459sfnYpBq3erus4Esl0VYW3q0S1JAHNd6zz8gp/LnKGBQIfJi8VDr0IhlzQZ5h/HpriMxHofNpVbcX2uKV0qNaGOmGxqBVqjqUeYvzh/lR6tDpdvxjKfe/ezoVOuMWKYbNIOpyIyWTyaC60Mylj7qzX8KZCapF3XRzhPAtKJOGiEo0F5y3hotKp8+ZHs8ePbMa5d3ZSV9MWg8nAjL+/4NnNE1CEqui3YDzVe9QD4Pyyv1kzYb6s+XH24CpRLUlALTnWgYEwa5bIGRYIfJbsSyAV+cWW1ObtPkadsJpsHxvPqUd28FXP9whQBZCQcZZBv7en06L6zK7+I52+GmzOhU7JZk3czyzq9DUbH//No1rvTMqYu+o17HmGuNO5FXnXlhHOs6BEatYwoLXgvNWsYXD4nEWj2dpblbnwf5vpXa0XAMvOLWTCmv5oVVp6/Tia+nEtkRQSV3clsHr8PAx5tkWg5X5btiaq9tgVHm4WrYKMGWPebsmxNhqhSRMXGC8QCOQhsDqYivxim3Tm7T7MI83H8tvg76ioqUi67hYXM86x8NRM3tA9S+c5wwiMDEafpSPj4k0S1pxg+QPuy4V2ZBiXtWNSU82BjOrVXb/aZ4tjbotz6+izUORdW0c4z4ISiYgwMnP6LQICjISGGgkIMP89IsLo8DktRbP9FP68VW82jzSLQyEp2HV1Cw8s70KqNoWOHw6k1sBGSAoFt04lk5F4685x1gTNW96Wi0Y07LUrNdUsnAVZuNC8XbR4EwjKIH7h0HIaKP1BFWL+2XKaebuP069OdzaO/oVJTUbTM7YTCknJrqtbeOJiHPfNG0iDsa2o0esecy7030ksHzaTtPOO5UJbezbYMgyrKNaO8cRzpqSouC3OrTM2irxr6wjnWVAqcSNzuXDiOhtXpnLhxHXiRlpojGkH1qLZdWLh214f8sZ9z6BRaPj7xiGGLe9AQvpZIlvGoFAq0GVpOfLdHxgNRquC5q1vy47YVZp4iRZvAkEZJGYo9N4LHRaaf8YMldsil9Equhk/9v2ENSPm8dZ9z97R+gl/DaDaqw3oPXMM973X93YudBorhs8i6VCiXdew9mxwZBiWtWNuXE1x+XPmzBlzj+kzZ2zbv7Tng7PPQm/Ku/Y2hPMssImICCNtW+ucijgXPJe1aLYkSbzV4QW+7vU+AapAEjLOMnxFF7K764lqXwNMcHrRYTZMnkvQ0ccsiqC3vi07Ypct4iVavAkEZRC/cAhrUSYizpaQJIk3OjzH170+ILCA1h9I+pOGY1vT47sR+FU050KvfXAeCetP2HTekhxkR4ZhWTvmyrnrLn3OvP46dO0Kzz9v/jllSunHlPZ8cPZZKFY3rSOcZ4EslBbNntwsjt8GT6eipiIpOdeYtH0QyndCqDOkMUgSFzddYO77o8nOKNDh/rYIeuvbsiN2CfESCAS+TGkzAiY3G8OiIXe1fsKafqxPWE6N7vXoO28cgZHBaNO1bHk6nuM/7y/1eiU5yI4Mw7J2TNXakRb1PCjI/vziM2dgzpzC2xYuhO++K/m40p4PrngWitVNywjnWSAbpUWz+9XpzvqR86kSHEm6No1/7xjHxUevU/uhpijUCq6crcqsdyaSlhpiPuC2CDrqcLq7wNBRu1wpXo4UyggEAoEj2DojoF/t7qwbOc+s9bo0nt4cx9y/v0e6R0Xv38YSWjMMQ66e3W+vZd+nW0psZVeSg+zIMCxrx1SqUrmYno8ZA3372p9ffOiQ5e0fflj686ik54Orgi9idbM4kknu4fJWSExMpEePHmxatYCYqtFymyOQkXM3L9D71/GczziPChXBmlDu39eBe9e0xJhnJKRSGqNfXEJAn48LDTaxpwo6Pt6cG6ZWm9/Mp01z3xu2O6uzS8I/aQEVT002R2VMWm7Vn+nUIBhByVy7lkhcXA82bdpETEyM3OZ4BKHbgnySkxXENowkJ+dujC4gwMiFE9etBkzO3bxA/yUPcuZWAipJRbA6lKiAKnzZ6mdOPbOX1KNXQSFR74HmdPzvAJRqyy1T72qdGky6YlqXn8KR71DbgrVj8vU8KMjsOOcWWET19zc7tKXp/Jkz5lSNogQFmXOgW7SwyUSryPXM8TXs0WwReRa4BVeM887nzw31ufT+LkxX2qDVSaRp01jVfDmrHliHIkhNxo0wfv74ac6eaVfoOFvflj1dYCjHW7wjhTICgcBBfGy0tlWcuA9HZgTUDotlR1w8baKaAZChTePkrWOM3d2Pal83omqn2mCCM4sPs+HRX9Hl6Cyep7RpsY4Mw7J2TL6eZ2U5nl9cr17xlqQABoNr0g1F5Nj1COdZ4HJcOc47vye09mYUptmbYc3/YMerVFBXZF+9P1kwZgGKMCV5aVrWT/6V00uP2H0Nby0wdCWOFMoIBAIH8JXR2qU5xk7eh6MzAiKCKrN59CK+6vker7X/FxU1FUnNSeKhbQPh7UDqDGsCksSlTWdYOWoOOTeyLZ7HVdNibcXZ/OJp0+DNN0GlMkecRX2LdyOcZ4FLcek477xUEo6dRaO+nVmkC4KDjxO0723+12wRVYOjOBVzku/HfQcREvpsHTtfWsHhb3fdyYmzJY/ZVQWGcg9lKQlHCmUEAoGd+Mpo7dIcYxfchzMzAoI0QTzW/EGmdnyRDaPmUzU4ikxdOs/uHM/FyUk0ffQ+FGolKYevsHz4rEK9/+WipIFWtvLEE3DwoDlVQxTneTfCeRa4FJeN874t7jWvPog2N6/QRzod9GvahO1xS6lXqRZXK1/ly/FfoK9uwKg1cOCTzfzx9mqWLjHa1BzeFUUV3jKUxRqOFMq4C29+yRAInMIXRmvb4hi76D5cMSOgdZXmd7Q+15jLO3ufY1uvbbR7oycqfzXp/9xg+dBZpPx91e5zu5KSBlrZg0ix8A2E8yxwKS4Z511A3CMCE5j56MMEaLIJDTEUil7UqliDHWOW0jaqOWkhaXw+dhoZ92RhMpg4/tMBtj2zBF2u3qY8Zmc6WnjrUJZ88p3Vy6qS8wA9gbe/ZAgETuELo7VLcozzUzmUQS67jxK7KtmYU11Q6/UmPd8e+YjZtWbQ8fNBaEL9yE7KZPWYn0ncftZu+5wlX1+PHSv76X+CuwjnWeBSXDLOu4i4x93/Kxe+aczGBXuKRS8igiqzafSv9K7ZmVz/XP434nOSWqSACRpwgjh+QY05XaE0IbOnwDA/cpqaCps2mfPUCuItolnUWV262rN5gAXx9pcMgcBpfGG0tjUH/9bRu6kc2/pCjTHuvQ87c6rztb5PrS4YMfHbP3N4X/kanX8cSkB4EHm3ctnw6CJOLbbS980NFNTXhx+GnJzCn1tL//PW1TdvtcsbEc6zwOXEDb7MhT2b2bj0nGNLdRbEPSLkGm3vD7XohAdpglg2bDYTGo0ANXw/4FvOtr4ASFTnEvU4DZhcMiiloFi2bg2tWsEbb0BmZuH9vGEoizudVUdE1tbCTCHgAp/G20drW3Lwm0yFY1MLp3JcXAhd1rrnPhzMqQ7SBPH70FlMaPQACknB5sTV/Ov6Q3T8eTAhMRUwZOvY9Z/VHPp6R4m9oF2BJX2VJPDzKzn9z1tX37zVLm9FOM8C13I7mhBxcjhtU5oSkbfU/nM4EL1RK9XM6PcpL937JCqViu2NNqH3y0GScqlVZQl+fkY+/dTkVB5ZUbHU6UCvN7coyic42HuqpN3VRcRRkbWlMFMIuKBM4O2jtYs6+BWbQlFf0wQYstxzH07kVBfUerVCzZGUfTx0fBCtfu5BWMNIjDoDB6dt5Y83V2M02LHiaSeW9NXfH2bPtp7+562rb95qlzcjnGeB63BlpbkD0RuFpOD9Ti/zWbe3uFX9FteirqJEokWSjsltXqZfvzynohGWxLIgQUHw3nveUyXtjjHlzohsaYWZQsAFAg9S0MFXBoGxyAqhMde83R1YSh0x2p5TfUfru7+Nv9Kfs+mnmbB3EK3n9CC6XSwmA5z4+QA7Xlnhtgi0NX1t0sR6+p+3tkX1Vru8GeE8CxynaLGHqyvNHYjeSJLEU60msmDk1+jfSyelyXUUJgWV/gjk8yEvk5Z+yzFbsCyWBTEYoEcP+SPO+bhqNGtBnBXZkgozhYALBDJhyALJr/A2yc+83R3kry4WfF6Y9JC8w+ZTSJLEUy0f4qMur+Gn8CM55xp7M/6g77xxVG5WBUxwdVcCeiuDVJzFEX11R0DDFXirXd6McJ4FjmGp2MPNlebJl2+xb8t5ki/fKnXffnW68/OIr/hs68tkd0sHCcKOVeTbvm+TmHjBoeuHh8M774BGY07PUKvNhYKuckzdgTNdRCzhCpG1VpgpBFwgkInA6qCQCm9TSO7tEhLRCaQCLohJ79BKZftqrfBT+qEz6ph/4ntyyCasQSRIEtlJGZxceNBt0Wd79dUdAQ1X4K12eTPCeRbYj4X0jORtH7LvYADJsd+4pUJ7wXfHiG1Sk14jmxDbpCYLvjtm03H+/v58vOxFpNFajCojlS5VZP6Azzlx3P5JhPHx8PbbZqdZqzWnaBw86DrH1F24sm+oO0VWCLhAIBNydAnJvgSK4lNP7V2pbBXVlIlNR6BUKDmY/CdDV3Qi5tH6VKhVCYPWyN73NrL3w01IuddRp+9DoU124U3Yr6+uDmi4Cm+1y1uR1Xnevn07ffr0oVevXvzwww9ymiKwhyLpGQv+GEPsv07Ra1gssd0nsiDjlEsrtJMv32Lyqx3J0QaSllOBHG0gk1/taFMEGkChUPDujGep9Jw/erWeiqkVWD18Lru3brTZhoL5uFlZZud56lTzZ+Wtob07RVYIuPcjdNvLsLFXcqk42yXEXjtctFKpkBR83v0d3uv4En5KP07fPMbYA31pOOt+IltWw2QwcvT7Xfwx8Qkq7O9D5J5Y/JMW2HUNV+Otg1C81S5vRDbn2WAw8O677zJjxgxWrVrFypUr+eeff+QyR2AreamgTQOjuXdycnplJv840+zYZqjN47ifiSFZ38plUYuE0zfRKAuLrFqpI+H0TbvO88I7D1P/46rk+ecRlBnIn4+sZ9mv87mRm4LBWPIQF5GPWxh3iqwQcO9F6LaXYWev5FJxtEuII3a4MNotSRIvt3uKGX0+IUgdxOWsi4zd1ZeIL2pTvWsNMBr4e1djFn3cF322joqnJrs8Ai0oX8jmPB85coTY2FiqV6+ORqNhwIABbNq0SS5zBKWRlwqnvoB1bWHf42AygqQi4Ubj4o6tI+O4geRkBfsOqElOLvy/Zc17wtAaCnuuOoOamveE2X2Nhx4dTpc5zcgJzsE/158L/znKYy8PZeTKbqTkWBdTkY8rEAjd9ipc2d1ILjtc3BN7bONhxA/7kUp+YdzMTWHy9mHoX7hMs07HkSQ4f7wWe9a1A0mNMjfBqWsJyjeyOc9JSUlER0ff+XtUVBRJSUlymSMoicR4WHcvnPgEjHlmgTTpQFJRs/czaAkptLvd47iBBYv8iW0YSa+B4cQ2jGTBb/53PouoVpGZH+40j+gOSCNAk83MD3cSUa2iQ7fTb2BXRq3sQWZ4Jhq9hi7LO5G2JZlhyzpyIe2cxWPcmY+bmgrbtpn/iLZsAm9G6LYX4eruRnLZ4eKe2D1iO7F59EJiQqqQqctgysEPUQ7YQkBwDiYkki5EYjLqMPjXdMn1BOUTUTAoKJn8qELRHqAACjURVfwdH8d9O0cu+fItJj9VkZwcBWnpCnPqx5MVC0Wg455owoVjCWz87RgXjiUQ90QTp26rbZtmPLpkGMoQBRqThjqX6nA+4wzDVnThr+v7LR7jjnzc+HjzpMKxY81/WrUSg0EEAoENuLm7kc/ZUYBmUY1YNOg7Qv2CyTVq2R7VmcpVU8Gk4OSBhixZ+h56ZTgKbbJbigjtQUxU9U1kc56joqK4du3anb8nJSURFRUllzkCa1iKKuRzWyDjRuZy4cR1Nq5MtX0cd4EcuYTfHis59eO2kx1R2UDbbrUcjjgXpfY91akYHorSqKDdybY0uNyA5JwrjF3Th80X11g8xpl83KIimV+EWDAdRK+HF14QQirwToRuexFydMjwZjuKULNidYLVQRhMBuZe/ZPK346karsITCY/Tv6exZaHphG2vTbhf/WSrYhQTFT1XWRznps2bUpCQgKXLl1Cq9WyatUqunfvLpc5AmtYiioAKPwKCWREhJG2rXW2R5wL5MjVrHQKrbZwmsed1A9HClFsrPr2C9Uw+JtOBIT7Y0qDsQvG0P70vaRrb/HExpEsOD6r9GvZiCWRvHQJFBZ+A5XK8luIKPBuhG57GS7OGfZ5OwoQFRTBt73+j1BNKCm5SYzfPR7NR7WoPbgxAOe3ZfDz/w1Dm5GLwpjj8SJCMVHVt5HNeVapVLz11ls88sgj9O/fn379+lGvXj25zBFYo2hUQeEPDV6GPvvuCKS1Qj+rFIlmR4SmMPOJpwnwNxRO/QhNtr8QxU5nu1aXaoxf2Z/QmCCM2Sb6xfej76Ge5BhyeH33U/zvwHtON9i3JpJBQWC08K5hMHh/IaJYaiyfCN32QhzNGXakxV1Jx7g4d9kVDKrbm3Uj5xEdFEG69hZPbRvD1Sdu0Wx8LAqlkcunazJ96uNcSY7yeBGh6ODk26jkvHiXLl3o0qWLnCYIbCFmqHkaVPYlcyS6gDguWOTP5KcqolGDVgczp98qPW3DQjQ77v6F9PzXSyRci6BmDYM5gn0z38kucL78QhRLAl0wop1/zKEpZttLEPToJuFM2jCI+cPWknLqFu3XdKBiZiV+7fgbnx96j0uZFxnbYDJVg2sQHVS15HuzQL5I5ha4DbUacm7d5Iv3b/DvV2uj05mne6lU8Nln3t2mLT7e/DKgVptXCKZNE/2YyxNCt8sAifFmrZTUZi1uOa1wtDgvtbjel3aMgyQnK0i4qLyr+y7m3qot2R63lH5LxnP2VgJv/vk0zw16jojdWm6dDOPq5Sq0fXE/nzzxGt3b1XT59a0hOjj5NqJgUGAbFqIKycmKUgv9rJ7LQo5cRLWKhVM/7C1EcaLqu0JMCBPXDSLm3ihMBqi/rSGPrpuMpJdYdGYOo1f1pO/S1my6uLrUcxXFkkjqtXpaJjXn0ZjWXPo6lt++2cIvv5gnFtriiMoV+RVLjQKBm3DVsBNbrlPSip6l1Ts3tcUrqcuSK6kTVpOdY+JpWKkuepOeWSd/ZsmFfhhRoEFLW/1uHvv+B5IzItxyfUu4e6KqWB10L8J5FjhMwkUlGgvLTjb1eLYlR87eQhQnq74DK/kzfmV/7ulfHQmosq8q/45/iiBdIAaTntTc6zyxcSTzjv9o0/nyKS6SJmY8+jBRwZdQGNKICr7E8EoD6HZfsk3CKWeRiVhqFAjcgKuHnZRESUEGa07yrWMub4vncPDFQSKDKzOgTk8UKMjQZvBXrJYz1EFCojEn6WTa6RIds8dpdddE1blzoU0bGDVKFCK6C+E8CxymZg0DWgvLTiX2eC4YXbElR86eQhQXVH2r/VWMmt+LlhPrIykVhByvyJtLXmXOfZ9TJ6wmucZc3tr9bz7d/45dudAFRfLgpsOM6bi88A425tvJHfkVS40CgYvx9LCTkoIM1hzr/H0sHeMgTgVfHCSuwRDCA8LII4vswWNZXl9POiEoMFFJn+S0jjkS2HD1RNWff4ZXXwWtFrKyzM+I55+HM2dcc36BGeE8CxwmIsJoX49nR6MrJTjZxYoVXVD1rVAqGPBFR7q80hKVn5LsU3kkPZbNqnY/0yqyKXqTnq8Pf8DLOx5Hb9TbfN58kQyrGgMmbeEPTbY17Zc78uvupUaBoNzh6WEnJQUZrDnWFZu4vB2dQ8EXJ2kR1YT1o34hNrQaUmAm2iGPk14hAwm4R32e87O3OFwgbimwUdBp9cQwrNRUeOut4tu1WujdW0SgXYlwnssKnsqXK4LNPZ7dEF2xmi/ngqpvSZLo/J9W9P/sPtRBatIuZLJs6E7m1f2WnrEdMWFi0enZPLp+BDm6HLvObdREcKv+TIyKAIzKUIyKAPPfNaXn23lD5NddS40CQblEjiEj1oIMJTnWrmpHl9+3PzTZ8QFbONDl6TZNIxqyMy6e+pVqIwXmsfaJmYQ2rIRkNHL4653seHkFBp39DrylwEa+0/r6654ZhnXpEmg0lj/TakV9iisRznNZwJP5chawqcdz9iWgyHKcE9EVT+XLtZzQkBFzu+Nf0Y/s6zmsGL+Tua2+Jq7BECQkNl5aweiVPbmZc8Ou8+ZGxXG9/QVSm2/kevsL5EbF2XSct0R+Xb3UKBCUW+QaMmItyFCSk+xsYKLIsyruvoX2D9jC8ULDfIdbk1eNcQ2Ho1IoyQi+QeQ3tajasRaY4PRvf7Hv401235qlwAaYndY5czwzDKt6dfO5rSHqU1yHcJ59HU/nyznKraNgyCq8zYnoiifz5er1rkHnV1qi0CjQZmpJP5/FnAFf8FzbR1Er1BxK2cPQFR2Yd+IHNl1cbfOyn1ETgS60rU0R54KIyK9AUMbwtiEjru7ZnJcKSdvgYPFnVURosu0DtnA8cFLU4Vac60eoJpQcQxbP7nmI4PeiCYmpACZIOXLV7lvMD2xYi/xa4tgxuy9jkw3+/uY5AkUR9SmuQzjPvo6n8+UcIS8Vjk0tvr3JVIfF2dP5ctFNw1FplOizDax9+Q/SL2bxUefX+KTL6/gr/Tmbdoo3dv2LxzY8wIvbH0dnsBCCcCEi8isQuAGZ0t8Azw0ZyXdkk7Z55j7zo817HwFjkciypWdVKf8GjgROLDnc7z/XmTndZlLRL5RMXRoLzs8kqEoFMJm4vj+Rw9/utDv/eehQWL/eNgc6Lw8mTXIufcNSZ4/84MqiRfDf/8q/SllWEc6zryNHvpyt5IugpTZHqmCo2NThU9tdrOgksZ2q0PWt1qgCVNw4k86s3su5djSVf7eZzE8DPqdqcBTBmkD0Jj2Lz8zmkfUPkK3Ltvn8oienQCAzMqe/uRRrDmhiPKxtBbvHmv+sbe3e+yy4MmqwoIdFn1U2/Bs4Ejix5nBXyG5JZGA4JpOJQ8l7qf/ftlSsWxmj1sDhr3aQeuyaHTdrpl49+Pzzwk7rxInF86HB7EA7modcUmeP/ODK+PFildJdCOfZ15ErX640Corgn5NuT/0rgEnvtINvc7HibRwtMAFzAWH7J5sy7Ieu+IVqyLySzc+DVnNu62VG1B/IXxM3sHf8KuIamnOhNyeuYtTKHtzIKV0V5ezbLBAI8J30N1uw5oDmpcLBKWbtzcekM29z131aWhkFUAYWf1bZ+G/gSODEmsNdv5aaZ1s/gp/Sj8TMBCYfGE6dyc1QaJQYdUZunkkGQKFNRp2+D4U22abbLppa98EHcOAAvPceBAQU3teRPGR7WpaKVUr3UKIXkZmZycWLF4ttP3nypNsMEjiAt+XLFRVBYx5gAoUFB9/JZVKbihVx3SSrhkNrMfq33gRFBJB7I49fx6znyMLThAdUom5YLeb0/4IX730ctULNXyl7Gb68I4kZF6yeT+6+zYKyh9BtB3Bl+pucqR8lOaDZl0CykNogKdyX5mdpZVThB/fOKP6ssuPfwN7ASUkO9xMtJ/BM64dRK9Qk5ySRU1eHpoI/hjwDu95YzdUlPxK5J5bwv3oRuScW/6QFNt16Uac1PByGDIGimSCO5CHL3bJUUILzvHr1avr27cu///1vBgwYwJEjR+589uqrr3rEOIEdeCpfzhYsiaAyAFp9AU3fhS5rzaLpoWVSV3fmqHl/FSasHkCFGiHosgys+NdOdk47jMlkQiEp+KDTK3za9U38lf78k36Kocs7cSz5EHqjvlgOnRBBgSsRuu0ggdWLr44Zcu1bHctLhZNfwDoZUz+sOaC3joE2DYwWUhtMRvel+VlaGW31GUR1Kf6ssjMF0dbAST4lOdwtoxqjlJRk6TKYljSVTj8Owj8sAF1mHse+24XCmIPCkIbCmEPFU5NtjkAXxVXdkryhZWl5R2Xtg++//56lS5cSGRnJkSNHePnll5kyZQq9evVyuIm4oJxgSQQNOXDwOVCozZ81eQeOvX37gXVbxA5NgYhOLn8ByM93yynQjjm/wCQiNNn8wAmsXuJ1k5MVJFxUUrOGgYgIIxENwpi0qgO/jNzG9VM5bHn/AGlXs+j30X0olAr+1XoSVYOjeHjNiyRlX2bUqm5U0FSieWRbPusym0B1ICBEUOBahG47Q9Hvx47vKzHenP5gzDP/3eheTbOKRe3NNafOKTSAAXPM7LbDKamhlZvT/GKGmr+D0nQ239E+NMVsl0lXcgpifjS9FO0uSESE0aKz/cA9A9h5aS/f/zWf/Ul/8GXoR3Ss3p68W9mkXq3IzeuhhEWmm3e+PQ3W3i5J+QwdCp06mQMk1as7lk6R74RPmWJ+lul0ohjQ01gNvRmNRiIjIwFo1qwZc+fOZfr06cydOxdJkjxmoMAO5FwuLEjRaIPCD5DMD5T8pcSjb+LKvs8lYbXARL3cpsi3xZSPxHhCj3bloRc/okb9BDAYOfDjCRZP3IQ+z5xTOLx+f1aN+InIwHAy9ZlczrrIqvOLGbmy+51caG/p2ywoGwjddpDsS+bVsYIoA2zTo/xUiXzHuSCe7nxUVHslP3Nk2Zhn1l6T3hzAaPMd3PcL9D3gmTQ/W1dGbU1BdPGqpVKh5LMeU6kdVgOAs2mnaTi+NUp/FRm3KvDTh+NJvxls3tnGabAl4Yo8ZNGyVF6sOs9BQUGF8uYiIyOZO3cumzZt4owYku55SnOMva1SvKAItpttFvOCKDT2dwlx8OWgUL5biIEAfwMzp50k4sK/Si1OsZryse2/YMglwO8G4176mQZt/0YCTi5LYO6Q1eSmmx+kHWLasnXMYp5sMZ4h9fqgVqg5krKPYcs7cDH9PCBEUOA6hG47iDNdi6wVxdlzDleSr711nwDJhDnaXACFBoKqW06d8IYATGmOtpuKO5WSksaV7wEJDif/yfeRX9Pi+S4o1QqyboZy+Xxdu6bBCso2Vp3nqVOnFlvmCw4OZsaMGTzxxBNuN0xQgNIcY2fFxF2CmS+CFZtYeDDpzfnPtnYJcfLlIG5kLhc2z2bjK1248FVd4sJaFl+VtRAlstjiSGUgIbnO3b9rDDzw7Dpaj6+MQqXg0q4kZvdeQcbVTADqh9flq54fsHjID3zW7S1zX+j00wxb3pmj1w8AoiJa4BqEbjuIM12LLDneYC6QlrPz0ZmvwKgtvt2aQ+9FAZgSOyO5abaBJEnM7f8/ulZvjwkTqy8s5VZsOgqNBr3Rj22bH+JS49M2T4N1N6JLk7xYdZ6ffvpp1q9fj8Fw9601JSWFV199lc2bN3vEOAG2OcbOiIknBNPag6nWeNuW6FwRachLJeLCv2hbcxcRgQnmh0rRhv0WHioWUz70SmpGnC20TSFp6fdpR7q+3gqVn5Lkv2/y69iNGPV38+skSeKpVhOZP/ArQtWhXM+5QtyaPmy7tMH2+xAISkDothM42rXIUppaw5ehj43ncEfwwlo0XKGx7NC7MJrrTEtQsKEzkhtnGwSqA5nYdBQqSYXOmMepqOPcM7olCqWS60fS2fzyDqev4QpElyb5sfp/99KlS7l06RJDhw5l9+7d/PTTT4wcOZKWLVuyePFiT9pYvrHFMXZUTDzZ29Tag8mWXDhXRBosnsPP/DApIdJktcVRl1eLvQxI/pXp8EILanWthqSUyLiahTareERq6D19WTNyLlGBlUnT3uTRjQ+w6OQc2+9FILCC0G0ncbRrUUF967MP6j9r2zncFbyw2CJOA13XW3boS9LY9DNwYZH5Zyk42xLUps5Ibp5t0KNGJ2IrVENn0vLJX2/yz+gEwhtHgySRfv4mJqP8hbeiS5P8WO22UaFCBd59911++uknJk2aRGRkJIsWLSI6OtqT9glscYztrVLO545gFojA5gumO5Ya/cIdO68rIg0WHyYSdFkHhqwSK7bjRubSs+v1Qt02YKjFCnJJkqjSIpyzmxLJuJrD4gkbGfVLbzRBhZXuvmpt2Bq3mP6LJ3A+/SKv7HqCa1mXGdVgEhX8KhKgCrT93gSC2wjdlhF79a1g8MLVHYesPRNC61ne35rGnv8ZLi68u63WRGj+gcVTFHR88zsbTX6yIj27Xre5nVyJnZEKnsPWDh4OdOSIDo5k65jFtJs3kMsZ14g/+wvP3TOFlKNXSTubyubn4+n6yWCUGqvuk9sRXZrkx2rkOT09nbfeeoulS5cyY8YM+vTpw6OPPsru3bs9aZ/A1rdsR5YcLQmmMQ+UQa6y3jW4ItJg7Ryh9WyKNFnsKWolStX5Py1pHlcXSQFnt1xhTr8VZCbnUJR7KtVh59h4mkc0Qm/U89mhd+ixuCk9F7e4kwstENiD0G0fwk25u3ew55lgSR8bvFjYcQY4P8dqBNraCOyEi0qL+1vCYpqc1kTNaAt9lUtbJXAiqh8dHEn1kKogwZlbx1E/HUq1TrUAExdWHiVxvbz6LLo0yY9V53nYsGHExsayZMkSOnbsyOuvv87HH3/M//73P1544QVP2iiwVQTtXXIsKJiS3+2NCtjWt7DQlJST56nqbFdMUXT3JMbb34XSeItB33Smw5TmqNRKrh1KZXbPZdw4n1bskPwoR9ca7ZEkiSx9BhczzjJmTR+2XFrrWvsEZR6h2z6EG3N372DPM6GoPmqsHHPzkMXNVluC1jBY3N8ShdLkgvMI0GQz87FHiDjY2r6UFhekJL7X8SUqaiqSlneTJ3aNocrgy6jVOZj0OrLWvG7zpEF3Ibo0yYtV53n+/PlMnjwZleru0kTDhg1ZuHAh7du394hxggK4a4JgzFDzxD/pdh6XMbew0JT09u5svp69jrcrvgN3fY9Fvgvp8jK6vd6GPh+3Rx2o4ua5DGb1WsHlQ9eLHRrqF8KqB35mZt9Peb/jS0QHVSZde5PHN47k15OzXWunoEwjdNuHcHPursM25etjWEvL+1janpdKhOogM79MtDgC2x7iRuZy4a+TbHy1Bxf+F0tcuzn2O78uiOp3i+3AJ11fx0/pR7Yug3TTe1QIT8NkUPDn6racmPa1w5MGXYXo0iQfVp3nknLkRo0a5RZjyi1y99Y0ZN0eZFKA/JGu1t7enX2zd3WhjJzfoZXvQtLeoM3kRgyb1RX/Cn5kJ+Uwb9Aazqy7WOwUfio/Hmz8AC+3e5otYxZTu2INcgzZvLrrSb488L6YDiewCaHbPoa7V8OcIbSeOce5ILUmFs+bLqDlcSH1ubB5jsUR2DZxW8cjVH/Rtu4RIkJT7n5mj/Proqh+04gGaBR+5BnzeDM7i84vzKVixC0MejWHtrZEyjxn1/m8jdRUOHxYdOlwBMd6yQhchzf01rQmNGD97d2ZN3tXd/mQ+zss5btoMKAWcfF9CIoKJC9Ny28TNnHwp+NWT3dPpTrsiIunRURj9EY9nx96j1d3Po3BaPvyp0Ag8BHctRrmCpp/AN23QsvPzT+LFgta0PKIC0/Ttsk1uyPOhXT8z0m3CykLYI/z66Kofpsqzfmk22sEKP04r4dntFlEVk9CwkTmjUASj2nsOp83IfpEO4dwnuXEk63iSsKa0FgcbnJbwFw9kcvRQhlnvkNXRatt+C6qt41i4rqBhNUKRZ9tYPULu9n20QGrEeXo4Ei2xS2hW2wHjBhZcOpHHljelX9vnsCOSxuds1cgEAhsJbQexI6y3KnDVVpeVMeNeYDJPGjGUefXRVH9R5uPo2V0UyQU3DJA+8F/4R+cS15uEBue3sD1w5cdOq+ciD7RziOcZzlxd7W1PVgSmpLe3l09kcvRQhlHv0NXRqtt/C7C61Rg0saBRDerhFFnYvt/D7HymZ0YDZYjNMGaIFYN/4nRDQYhIXEg+Q+Wnf2FyRuG8svxWY7bKxAIyj6eSGVzlZZb0nGFBlp94Zzz66KovlJSgKRAG9SYoFE/03HaCFRBGnSZeVzb73vNlUWfaOeRr1GhwDPV1vZgqU9pSf00be21aek61vpS29uX05Hv0B39VW38LoIjg5i4bhC/xq0nYftVDs09RVZyNg/M6YHav/ivo0alYe6AL4kNrU78mTXcyksjKTuFN3Y/xfWcyzwY+waJiRLVq4uiEYHAK3Gg17DTJMabNa6gvrojn9rRGQNFsaTjhmw4+By0mmZ2gGUkzL8CJkyczTjLNwm7GFptJAqlAjsTU5wmNdXs4Dqr96JPtPOIyLOceGO1tSVKent3xUSu/KiCI9FgR75Dd0X8bfwuNMFq4pb0pdHw2kgSnF57ic3v7LO6v0JS8EHn/3B88lYOT9hAy8gm6E16Pjv4Hs3feJLRcQaRsyYQeCO2aJqrI8SeTgd0RXqEXzg0eae4LhtlSmUswpc93qNBpTpoDVqmHXibIzfMfZ5NRhPX9l6wunroSlyZoyz6RDuPcJ7lxpurrd1NQWfTGcG39zv0goi/SqNk4JcdCa0WBCYTySdv2tRRIzK4MlvHLKZTdEcMehM0n0lm7xHk6nJFzppA4E3YomnuKHaWIx3Q2fSIxHg49jZIyuKfyZXKWIDqodX4rNtUAlWB6I1aUiNuEN22OiBxcd0ptk9Z7taOSO7IURZ9op1DOM/egDdXW9uLo1EUZwXfnu/QSyL+6kAVYbVCwSRxfutV1r22B5OxdAEO1gTxwT3zUZ4aDUjQcAU82BOp6kH2/ZPgdrsFAoEFimpfaZpmzblOP+NcJNodwQF35k8X/B6MFlrbuTKw4cR9aJRqQDL/RS3R88dRRDSvCia4tvcC+mxdicc7g7tylEWfaMeRxXles2YNAwYMoEGDBhw9elQOEwTuoKQoSmmi5QbBT05WsO+AmuRkC/+be0HEX6FUMHJeD2LaRWIymNj77d8seWQTem3pLenq1VKiXjkH/ngOjGqosZuckV147nhrPt3/jugLLXA5QrdLwJL2laZplpxrowm29nYuEu3q4IC7e/Jb+h7A3GlD4cLAhpP3EawJQikp0Bl1/Hz8W9IN6YTVjzRPhk3K4PjP+9ymuyJH2fuQxXm+5557+Oqrr2jbtq0clxe4g5KWKG0RLWuCDw5FChYs8ie2YSS9BoYT2zCSBbOTip/DCyL+ARX9Gb+iP/UH1EACji8+z/xha9BmlhzFiIgwMmt6Ov67P0Sz/UPQhqAK0JFtSOPrwx/w8o7H0RncFwkRlD+EblvBmvZByU6sRec6D4xa53OVXRUc8ERPfkvfA4AkAS5yRl1wH62imvJ4y3GoFCqOpBzg6S1xtHy+ExXqhmPSGjkwbSvnVlrv3+8MIkfZ+5DFea5Tpw61a9eW49ICd2ExeqCA5D9sF62igo/JoUhBcrKCyU9VJCdHQVq6gpwcBZNfqE/y4v7yDKEpBbW/ipHzetJqUn0kpYKE7VeZ1XsZGdeySjwubmQuF08ks/ODcawfsZC5Az6jW437MGFi0enZPLphBDm6HA/dhaCsI3TbCiWlZ5TkxBYNGCg05kirpfM4giuCA57oyQ93vwdl0N39DTnmfs+uKBh0wX0oJAX/7fwa91VrjSRJXM68SEB0MN2+Go461A+j3sitM+4b1y1ylL0LkfMscA3WWg0d+Hfx4IE10SrY0gkcjhQkXFSiKZofptSRcC3aKyq3LaFQKuj/eUe6vNISlZ+S60dvMqvnclJO3yrxuIgII21b6+jVqBlxjYayavjPxDUcgoTEpksrGbWyBzdzbnjmJgSC8khp6RklObEFneuu6++k1Fo8j6M4k6/sqZ78+d9Ds/dBFWx5H2dw0X1IkkSguvALjspfjaQo+g/nHkSOsvfgtj7PEydOJCUlpdj25557jp49e7rrsgK5yI+iHJxSuOjDpLNNtIr2Ja33zG2hLXCufBEt+hAq0ke1Zg0D2qL5YQY1NSMSCp9Djv6rJSBJEp3/04qQqoGsfWkPaRcymd13BaMX9KZGuyibzqFRaZjT/wuqBkfxxf6ZHE75k2HLOzCv/1piQmLdfAcCX0fotgM42+u4YH99V/RMLoiz/Z5d1ccZbHvJiO4BR161vo+juOo+8lLxN+ZhwsS1rCtsurCK+zVdkBQKTHoTCetO0WjivQRUCnTOXoHX4zbnec6cOe46tcBbiRkK6jDY+4g56pyP5AeSCRR+lkXL0tCS019SLGRti9PdchoRMUOZOf0Wk5+siJoMdAY1Mx99mIjQFDD5m89x/mc4+pZ5qdSkd98QAQdoOb4BIVFBLJ28hZzkXH4ZvoYh33eh4cBaNh2vkBR82Pk1qgVF88r2//JP+ikGL7uPxpVa0DSiNc+3egu10kKBjqDcI3TbQRwdGOWu84BlXT34glmjKzax/dyusskWB9aVzrqr7+P2s+ZNJPYqDFzRZ/D81oeY1Xc5DeJacuSH3dw4fo31Dy9g0G8TUagttN0TlBnEhEGBa6nYBIrOXVJI0GUdGLIsi9ad5bwCUWaFGuo9aXairYloCZMC40aG07PrdRL27aTmzeeJqJBmdpxbToMrq+Cv29ENo7bQcd4QgQao27s645b149cx68m8mk38w1vI/L9s2kxuhCSVvkQoSRL/bjOZaiFVeHjNiyTnJLHt8nq2X9nA3yl/Mb3nQgLVIjoiELgMSxNa5TyPJV015pmDGxjtCxi4yiZbHFhXvkAUxdH7KPCsaaGGmVEw8qqJHEMOx5IPMfk/z3DrbAoX1p8mMzEdbUYe/iL6XKaRJed5w4YNdO7cmUOHDvH4448zefJkOczwbdzZd9MZrHXNCK1nPe/P2nJezQdLrhgvpQgkIsJI2/73EzFi9d1zRHSCo28Xt0FSea4Rv43/dtVaRTBp/SAq1Q1Fn2tk3ct72PLefrvaIQ2v358VD8ymY0xbGleuh4TE5sRVjFrZgxs5Xvb/jsCrEbrtY1jrYmHIdv/UwZKwpZDR0WJHdz0XizxrwpVgjiubtViSJPzDhLNcnpAl8tyrVy969erl2Yt6WX6rUzibx+Zu7I0clLZUZ+14W4tACkYbbh6+LYLawvsY8gpXersLO//twmqGMnH9YH55YC3XDqey55ujxLSP4p7eNWy+ZKfq7dgWtxSjycibOz5h2r7v+StlL8OWd2S+yIUW2Igsui1wnIK6iqJwKh1YryHxVUrTVmd8gCLPGjXmTnoGo5FtiesZ3+iJO2ka2vQcLv9xnjoDGzt/TwKvpXx02yjaW/L8PO+M2tqCq/tuugt7IweO9CV1ZBhAYHXAYOEDBWzr695Wdg7+2wVHBNDznXtRByoxaE1c/9ux7hkKScH7nV5mWre38Ff6czb9FEOWdeC5rRP5+vB/RV9ogaCska+rLT8z13cUxJWT++SmNG11dtBLkWdNo0A/+sSYW9Ztu7yOf295kAYPtiIwMhh9jp7tU5ZxafMZl9+mwHso+86zpV+qv/4DO0e5ZlqSp7HWT/nWMVnMcSmOLNXZ63QXFEFFgWU2U577X0Sc6DUa0bAigeEBmPRGdnx0iEO/nHLIBEmSeLrVROYN/JJQdSjXc66y9Mw8Pt3/FpPXDyNbl136SQQCge+QvB0OPQem27USCn/npw46gztSK0rSVlcFnAo8a1R99vHzyHg6VGuDJEkcSz2Ef91ges0YjSbUD0Oenss7zrns9gTeR9l3nq2N/jRkeW/UtiSs9VP+82HfexFwlKLi62iUu/kH7ukpag0neo2GRAcxdmkfKsSGoMsysPqZXez49JDD42CH3dOPVSN+onlkI2pWiAFgS+IaRq7oTmpO8VZlAoHgNt5ab2KJgo6jKc+8zWSAll+YU+s8jatHfedTkra6ctBLgWeNUqEkOigCqUBz7sCoEJSiy0a5oOw7z9aKJvJxp7PkDvIjpwq/wtuNPvgiYA/5D6zzP7tGfPN7ipr0hbe7cynTkTSTAkTUD+PhjYOIbBKGQWtk6wcHWf3iHxgNxtIPtkCHmLYcmLCWU4/s4OV2T6JWqDmSuo/hyztyMf28Q+cUCMo0rnL+nHHA7TnWkuNo0sGhFzy/8urOlMOStNWVg15KQVJIIEmYjJB89Cr6PH3pBwl8krLvPBf6pQou/rkv5n1FdILGb4AyoPB2X3sRsJX8B9bOUfDXK64TXyedWbvIf+BFdLI/t7sAIdFBTFw3kNiO0WA0cWDGCRZP2OiwSEuShFKh5L2OL/NZ97dv50KfZtjyzhy9fsChcwoEZRJXOX/OOOD2HhtY/XYrzyLI0XHDlRFgS1hL4fOAzuv0WvRGPQGVg4jpUhtJkri29yIbH/0Vo96x4IbAuyn7zjMU+KX6FZr/1zPOkrvIF8/j/wVDTuHPfPFFoDQKPrAMWcU/d1Z8HSlUtJeiD7zkHY61YbqNf6gf4+L70nBILSQJTq64wNxBq8hNz3PYREmSeKrlQ/wy8GtCNRW4nnOFuDV9WH1uKedunUZr0JZ+EoGgLOMK588ZB9zhY0tI7fJkwMUTEWBrKXxu0vmmEQ2RJImknCtMWjuETF0GnacNoXq3OkiSRPKRK+SkWHhuCXye8uE8w91fqlrj3e8suQtrjqQq2DdfBGzBWs56Pq4a3eqEM1siblqqVPmpGD67G20fa4RCpeDS7uvM6rWC9CuZTp13yD19WDPiJ6ICK5Omvcm/tzxI//i2jFjZlZScZKfOLRD4NK5w/hx1wPNS4dom8rsL23xs9qXiK5QF8WTAxZMrfdau72Kdf6Xdv3ik6RgUkpJDyXtYcGomCqWCinUjkCTM7y0O1qUIvJvy4zwXxJ3OkjuxJLzKIGj6nu+9CNiKtZx1uV4Y7M1VdONSpUKpoM9H99HtjTao/JUkH7/JrB7LuX7yplPnva9aG7bGLaZOxViMGMgxZHPo+p8MXyZyoQXlGFc4f4444PkrV0ffLL76VtqxJdX8SGrP66cnVvo8iFKh5Nk2j1LBz5wSmqlLN39wu4ZQn6sn7YJjrUUF3k35dJ59FYtCaDAXvvnai4CtWHpgNf+vOQXH0+LrSK6im5cqJUmiwwvNGfx1J/yC1aQnZjGn70oSdl1x6rz3VKrD7geXM6vvNF5p9zQBygDOZZxh6PLOHLm+3yW2CwQ+h7POn70OeKGVqwKrSsog25x3awXmAJJCno4bvhq8soIkFd9Ws08D1CH+6LN1bHzkV67tK4O1SOUc4Tz7EnIte8nVmslakV2t8Z4XX0fTLzz0b9Z0dD1GLehFQCV/clNzWThyPX//7lyf0fCASoxrPJz3Or3ML4O/poKmAsk5V4hb05fNF9e4yHKBwMdw1vmzxwG3tHKlCoZm79vuvMcMhXazQVlkfLRCUzYLzL2AqDbV6T79ATTBGrQZeZxedEhukwQuRjjPvoanl73c1ZfT3us6WWTnNM6kX3jo36x212qMX9mP4OhAtJk61r+ym5ybjhcRFmRw3d6sHfkz0UERpGtv8sSmUfx6crZLzi0QlDtsdcAtrlzp7V9trNgEKNL1oSwWmMuAWlKjkBQYTAY2XFhFel4aAJUbV0Ed4gdIGI2i40ZZQzjP3oI90V1PLXvJNQrcG0eQO5t+4aF/s+imlWkyojaSUkFuuo60SxkuO3e7qq3YOmYxtSvWIMeQzau7nmTsqj78a/ODJKSdddl1BAK34yuDTly5cnXPM+b0DW/oNOUr378NxFaIYULjEagUKo6lHmDS+sHojXdbh5pMkJWUickoCgfLEsJ59gbkiu6Whrv7cnrbdUtC7kpxO6jdIwZ1gBJdho55w9eSeCDJZeeuV6k2O+LiaRHRGL1Jz84rm1h+diHDVnThcNI+l11HIHAb3qq31nB25Sr/fs9MBySo+6S8xXq+9v2XgiRJfNz1DfrV7oZCUnAh/Tzp2jQ0oX5UahiFhImrO86x/cVlDg+0EngfwnmWG2+MsubjwclMpV7XqANtmv3fiysjHD5SKV63Z3WGzeiKfwU/spNymD9kLWfWXHTZ+aODI9kWt4TR9QfRJKI+wepgUnKuMm5tXzZdXO2y6wgENmPr77kr9NbdUVNL53d05aro/Rpz4cyXrrTWOXu86XnnBJIkERkYDgVGdSuUCnp8N5Koe2uACS5sOE3GpVuy2ShwLcJ5lhtvjLLmI1e0teh1JbU5z2/f4/ZFKtwR4fCRSvH6/WsSF9+H4KhA8tK0/DZxEwd/Ou6y8wdrgpg/6BsOT9zA+lHzb+dC3+LJjaP45fgsl11HICgVe37PndVbd0dNXX1+Tz5fbHmp8IbnnQdTRtQBamI6mdPoTEYTJhF5LjMI51lu5Iru2opc0db867b93txSyaS3L1JRRiMc9lC9bRQT1w8krHYo+mwDq1/YzbYPD2BycdP+e6u2ZHvcUuqE1STHmMMbu59i2oF3XX4dgaAY9v6eO6O3zk4HLM1hs+X89jp+nnq+2Or0y/2880DKiNaQR44+2+XnFXgXwnmWG1/IpZUr2uoXDpoK5pZKBbElUuENEQ4voFLtCkzaOIjoFuEYdSa2f3SIlc/sdHnuXZ2wmuwcE0+ryCboTXq+OvQ+L25/lINJe7iW5VzPaYHAKvb+njujt45qiq0OW2nnd8Tx88TzxZ6XClfZ40j02M0BlXZVWqFWqLiZl8KDa/pxNfOyS84r8E6E8+wN+EgurVVKEjJnl8gcjVTIHeHwIoIjApm4ZiC1ulYBExyae4pfx21Al6sv/WA7iAyuzJYxi+lRoyMmTPx25idGr+pJ36Wt2HhhpUuvJRAAjv2eO6q3jlzLHoetpPM74/i5+/li70uFqwog7Y0euzmgMqnpaN6+/3k0Cg3n004z98R3APhVDEBSSOgy89j/2RYMWud1NzUVDh82/xTIg3CevQUfyaUtRklC5oolMkcjFb4Q0fcgmmA1cYv70nhkHSQJTq++yE/9V5J9I8el1wnWBLFi+BziGgzBT6HBYNKTmpvMk5tGM+/4jy69lkDglD7Yq7eOXMseh62k8zvr+Lnz+eLIS4WrCiDteYnwwLTX8U0eoKJ/CAC5BnPqxj2jWxDTtQ4gkbDqJPs/3erUdeLj4d57YcwY88/ff3fOboFjqOQ2QOAAealm0QysLq8zWFDIyDVvOzTl7shXa5/Za3PMUPNx9t6zo8dZoqTv3Fv+PUpBpVEy7IeuBEcHsPfbv7m8L5nZvVfwYHx/KlQPdtl1NCoNcwZ8weMtHuRaVjKv7/gvZ24l8Nbuf3Mt+wpTWr+FZGmmrUDgCK78PXf1tex12Kyd32IHIq13rKTlO/2Hptwu7ta5L1Bx5yUi9+62/JcIWwMqnrCzACp/NV2/GMaSXtPJuppBesINh8+Vmgovvgi5ueY/AFOmQKdOEO69j54yiXCefY3EeLNTWvCXX640j5KELP+/rX1m74POL9wxkXP0uIKU9J1707+HDUgKiV7vtSO0ahCbp+4j5WQaM3suY9ySvkQ1cZ36KiQFHWLuBaBzTDsGLJnAwevH+PrwB1zNuswzLV+hgiaMiv5hLrumoBzjit9zd1zLEYet4PkLvpi3nAYHnjUXTwOYjObJq96gN556gXE2euzJF60CSEoJSen8Qv+lS6BW33Wcwfz3S5eE8+xpRNqGL2HPkpWzuca2HF+SkFn77NYR32qQX9J37qMdPSRJov1TTRnyXRc0wWoyr2az4Y29brteRFBltoz5jV6xnW7nQs+m39I29FjSjPUJy912XYHAK3A0x7do2psuA6QC8S6Tzrv0pmAqhrvawbkiHc9XUySB6tVBV+SxqtOZtws8i3CefQlb896czTW29fiShKzQZ8Hmjhn1X4Jj7/iWs1nSd+7jHT0aD69DeN0KIEncSEhDm6kr/SAHCdIEsWzYbMY2HIpaUpGtz+R69hWe3hzH3OPfi7Z2grKNvQ6bpRfzo2+BoshisTfqjbvbwflAgb3RZOJ82j8YTYW7GplMkHUtDX2eY0WD4eEwbRr4+0NIiPnntGki6iwHwnn2JWxZsspLhYNOREPtjaaWJGQxQ6HJ2+bcPEkNJz8CYxEnyRvFvyCORNe9IQ/RRu7pVx2FUuLm2Qxm9l5GxrUst11Lo9Iwu//nLBr8HV90f4e6YTXJNeYydfezfLp/qnCgBeWH0iKz1l7MjdrC27xNbzy1Guel0ePIwMq0jm4GEmy5tJop2yZjNBlRBaipen9NJAmSD19l3eQFGLQGh64xdCjs3QsLF5p/Dh3q0lsQ2Ihwnn2JopFehT/Ue6bwPgk/m0ewFsQeB9WRaKo1IctLNUeajVowZJl/mvIK7+Nt4l8Um6PrvtnRo8trrenyaitUfkqSj95kVo/lpJy+5bbrKSQFg+r14qlWD7EzLp42Uc3Qm/R889eHvLj1UXQG90W/BQKvwJbIrKUXcwzQ9D3v1hsfX41zFpVCxeLBP9Axpi0AWy6tITknCUmS6PjfgdTsWx9Jkkg+cJmbp647fJ3wcGjRQkSc5UQ4z75GfqS33hOACc58A+vawPmfzc7qqS+LH2O0w0ENrH67Q0YBDLmOObiWhFThZ87bUwV7p/hborToupcvIZaEJEl0eqkl/T+/H02wmrSLmczuu4KLfya5/doRQZXZPHoRvWt2xoiR3/6ZwyPrHyBbJ6ZzCcootkZmrb2Y13rw7uTVe2fd7WzkLZSB1Thn8Vf7c290CyQkTJjupG4olAqi28WiuF046OpBVQLPIpxnX+X0V2DMuxvR/esVOPND8Wl8APc8Y6eDWnT53MHldIvtlfJA0phtbjLVM86mK4pXSlom9NIlRHtoOb4BI37ugX+YHznJufwyfA0nVpx3+3Xzc6HHNxqOQlKwOXEVA39vz2MbR7DkzDyRyiEoW9gTmbX2Yp68HfY+DPse976i6zKwGicQ2IJwnn2R7EuAsvj2cz+AvmjUTgFV+9t3bmVA4W3KAMeW3YoWDeZjzDY7z8emurdYMC8VTn4B63you4eM1O1ZnQeX9SOkSiDadB3xk7ew9/u/3e7AqpVqZvb7jJfufRK1Qs0/t46z9vzvvLT9ET7e92axohuBwGexNzJb9MXcFzr8+PhqnEBgC8J59kUs5sNhjmAUGz5hhK19bHcaXb3sli+kTd8DZVBxe92VC5cYD+vawslPzDng3vqg8TKqtoxg4vpBVKobij7XyPpX97D53f2YihZ6uhiFpOD9Ti/zefe3aRJRn+qhVdCb9Ew/8jFTtjwicqEFZQNnI7O+klNcBlbj3EFA5SBQgC5Ly5731pOXkVv6QQKvRBbn+aOPPqJv374MGjSIp59+mvT0dDnM8F38wqHpu8W3m3RmMS6KMc92p9Edy25+4RDdAyhSXeyuXLj86Iwxr/hn3vig8TLCaoYyacNgqrSqjFFv4o/P/+L3p7Zg0DlWHW4rkiTxZMuHODxxA38/vIW+tbphxMSSs3OZvH6YyIWWGaHbLsKZyKzIKfZpag1oRP0xLVEoFVzff4ndU9fKbZLAQWRxnjt06MDKlStZsWIFNWvW5Pvvv5fDDN+m1nho/pE5xzm/+K7pu3enTxXFHqfRHctunsyFsxSdyUc8aGwiqHIAE1cPoG6vGEwmOLrgHAtHrUeb5ZkIcKA6kPihM3io8QgUkoItiWsYsvx+3tj5b1b885vIhZYBodsuxNHIrMgp9in0Rh05BV76FUoF973Tl5AaFQGJnGuZstkmcA5ZxnN37Njxzn+3aNGCtWvF25dD1HoQqvYrPGpUHQIHpxRvV2ev0+iOcbdyjnAFc2s/8aCxGXWgmtELe7HymR0cWfgP/2xKZE7/FYyP709AJQsrHK6+vlLNj30/oWpwFJ/s/Y6TN45y6sYxFpyawd+ph3j53vdRSCLzzFP4jG4XHGld0u+6rft5GzKNmBbYTtvoZqgVatK1aUxaN4j5/dcRExJ753OpWHqlwNeQ/cmzZMkSOnfuLLcZvkvRCEbMUOizFxq+bG4L523RCU/kwhXrh+1n/j76iOIVe1GqlQz+pgvtnmqCUqUg6chNDs095bHrKyQF73Z8ic+7T6V2xRpEBUWgM+n47uinvLDlYZELLRNeq9u2Trdz9xQ8ZymtQ5DIKfZqRtQfxIedX8FP6UdCxjm+OzJNbpMELsZtkeeJEyeSkpJSbPtzzz1Hz549AZg+fTpKpZLBgwe7y4zyiV841H8Waj5YfqMTIjrjMiSFROuHG3L459Pkpmm59Oc1jIamd/qVuv36ksSTLSfwSLM4MnVZTFj1LGvPb2Xp2Xkk51zjh95LCFIHlX4iQan4tG4X7ETB7ZW3Q1PMOlDw99/W/eQiMd5sn6Q2r6C1nCZe+n0MSZJ4sPFwpu3/niuZ1wulbph3AEwm0i/fIi89F79Q96/kCVyL25znOXPmlPj50qVL2bp1K3PmzBFLGO7CHakXvkR5v38XUrFGCNXaRnJuYyKnVl9i8YSNDJ/VHZWf5zK/1Eo1YcqKLB06g6c2vMZPx35j+5UNDF/emUF1RtAgrCk9agwQeuIEPq3bd2odCqSs5dd6FNQBW/eTA2937AVOo1AqqNW/EX9N30X62VRWjZnLwEUPoQn2k9s0gR3Ikraxfft2ZsyYwfTp0wkICCj9AIFAICtKtYLRv/Sk4dBaSBKcXHGBnwatIjfNQkcTN6NWqvmhz8e80u5pNAoNx28c5pP9b/H4xlF8uPc10RfaTXi9btvaicKbO1b4Sis6Z3DF0Cofp/WLXWk4rjWSUsGtf1JI/uuK3CYJ7EQW5/m9994jKyuLSZMmMWTIEN566y05zBAIBHag8lPxwOzutH2sEQqVgsTd15nVewVplz1fMS5JEu90fJH/9ZhK1eAoKvqHojNp+eHoNJ7fPAmtQetxm8o6Xq/btnai8OaOFYHVb0edC2DI9Q7H3hV4e665h5AkiYgW1cypb6JxkE8iS7eNDRs2yHFZgUDgJJJCos9H9xFSNYitHxwg+fhNZvVczrj4fkQ2CPOsLZLEYy3GE9doGOl5GTy14TVWn9tM/Ln5JOde48feS0UutAvxCd22tdbBq2siinpTZcS7EikpgjKE7N02BAKBbyFJEh2ea87grzvhF6wmIzGLOX1XkLBLnqXHEE0w1UKqsHjID0xqOhqFpGDHlY2MXNGVlJxkWWwSyIitnSi8sWNF9iVQFkmJUQaUjbSN8pCSIig3COdZUByRkyawgaaj6zFqQS8Cwv3JTc1j4cj1HF3yj2z2qJVqvu/9Ea/d9280Cg1HUw8ydFkHztw8RaY2QwxWEXg/3pyP7Sxl+d4E5Q7hPAsKI3LSBHZQu2s1xq/sT0i1ILQZOpY/sZ0/vj4im6MqSRJTO0zhq57vEaAKICHjHwYva0+XRQ2Ysn2yyIUWeDfenI/tLGX53hxAoVGCBEadgfOrT2Ayipd7X0KWnGeBlyJy0gQOEN0knIc3DmL+sLWknLrF5rf2kXE1i97vtUdSyNPO7JHmY4kOimDCqufJ0GWQpc9g8em5XMm4xMw+v4tcaIG8lDTd0KvzsZ2kLN+bVUyk5iVjMpkKtXes3q0ulZtV5fr+S5z85QCaEA33vtJTRjsF9iAiz4K7iJw0gYNUiAlh4rpBxNwbhVFv4s+v/yb+8c0Y9fK1jRtYtxdbxyzilXZPM6RubxSSgl1XN/PA8i4kZ1+XzS5BOceW1T1b8rF9Nb3OG3PN3UAFv1DqV6qDCRNbL63hjT+eLdRGUxPsR/9fHiQkNgyTAa79eVFGawX2IpxnwV2czUlztZj76sOhnBJYyZ/xK/tTs3MVJOD0qktcP35DVpuaRTXivU4vs3jIj7xx37NoFBr+vnGIYcs7cD7tH9ETWuBZCq7u6TPMPw9NsV/jRHqd16NUKFk6dAbtqrTEiJEVZxdwKSOh0D4qfzWaYD+8bd6QoHSE8+wufNHxcyYnzdViLh4OPonaX0XDIbVQqBTo8wyc3Zoot0mAORf6rQ7P83Wv9wlQBZKQcZZBv7en86L6vLT9MZELLfAMrljdc5UDLnA7wZog+tXqjlJSYjCZ0Bt1pR8k8AlEzrM7SIw3i5ukNkduW04z53r5Ao7kpLk6V1rkXvs0DQbGsve7Y6SeSWfLOwfQpuvp+nprrxjnPLlZHFWDohi38hnSdbdI193iYvp5LqWfu50LHSy3iYKyjCs6TnjzeHGBoJwgIs+upixEBezNSXN1rrTIvfZpQqoE8dDagUQ3D8eoM7Hz08Os+PcODDqD3KYB0K9OdzaNWcCkJqPpFdsJpaRk19UtDF/emetZSXKbJyjLuKLjhGj5JhDIjnCeXU1ZdPxKS0FxtZiLh4PPExwRyMS1A6ndrSqY4PDPp1k0bgO6HO9YtmwZ1ZQf+37C6hHzeOv+59AoNRy/8RfDlnfg3K0zcpsnKMvEDIXee6HDQvNPe1clRcu3MoUqQA0mEzdOJpGw/oTc5ghsRDjP4Nr85LLm+NlaGe5KMRcPhzKBJkjNmN/60HhkHSQJTq+9xJz+K8m+kSO3aXeQJInX73+Wb3t+QKA6kAuZ5xi6vAP94tvy2o6nydPnyW2ioCzibMcJZx1wgdfQ7u3eBEQEo8vUse355aQevya3SQIbEM6zqwvTypLjZ08KiqvFXDwcygQqjZJhP3Sl/b+aoFQruLI/hVk9l3PrYobcphViUrMx/Db4OypqKnJLe4O/Uw4x7+T3PLimH5la77JVIADc1/LNF4vdfZjI5tVo90YvlH5KDHl6Mi7ektskgQ2Ub+fZXfnJZcXxszcFxdViXk76gZZ1JIVEz/fa0fP9e1EHqLhxJp1ZvZZz9WiK3KYVom/tbmwYNZ/BdXtzf7U2KBVK9lzbxvDlnUnKEtEgQTlAdDmSBXWwxisKqgW2U76dZ3fmJ5cFx6+spaAIZEOSJNo/2ZShP3TBL1RD5pVsfh64mnNbL8ttWiFaV2nO0qEz2Ba3hKn3v4BGqeHEzSMMW96Bs7dOy22eQOA+ykKxu0DgIcq38yycw5IpSykoAq+g0dDajP6tN4GV/cm9kcevY9Zz5Ffvc0olSeLV+/7N9J7/R6A6iIuZ5xm+ogv7r+2W2zSBwD2UxWJ3gcBNlG/nWTiHpVNWUlAEXkPN+6vw0JqBVKgRgi7LwIqnd/Ln9GNym2WRic1Gs3jwd4RpwriRe53xa/vz49EvWHP+d7J0mXKbJxC4DhFMkh2TCYx6MfXUFyjfzjMI59AWykIKisCriGgQxqSNg6gQG4xBa2D/zBMYDd750OhTuysbRs+nWnAUmbp0PvjzZZ7ePIahyzqJXGhB2UEEk2QjICIYhVqJUWtg38ebyEi8JbdJglIQzjMI51AgkIHQKkFENa4EkkTGtSwu7fXeASWtopuxLW4pjSvfQ4DaH4CTN48wZNn9/HPzlMzWCQQuQgSTZCGieVXavNwVlb+K9ISbbJ+yXG6TBKUgnGeBQCAb7f7VhICKfmjTdCwYsY7jy8/LbZJValWswZ5xK9g5Np7Pur9NkDqIxKwEHljZlX1XdsltnkDgGkQwyS3ojXrS89IsfiZJEo0ntiO8cRUkSSL3ZraHrRPYi3CeBbYj+n8KXEytTlUZ93tfQqoGok3XET95C39+/zcmk0lu0ywSqAmkaURDnmr5EEuG/EAlv0rcyL3OhPUD+eXEDPZe20W2Tjz4BAKBmfurtcZf6U+WPp1HNz7AiRtHre4rKUW7Ol9BOM9gu1NYnp1H0f9T4Caqtoxg4rpBVKpXAUOugQ2v7mHzO3sxGb3Tgc6nV63ObBg1n2oh5lzo13c9zdjVvRm6rCNJmVflNk8gEHgB3WM78mOfjwlSBZGcfY3pf30st0kCFyCcZ1udwvLsPFrq/3nweUg/I7dlgjJCWM1QHt4wiKptIjDqTfzxxVF+f3ILBp1BbtNKpGV0U7bHxdOocj2UCiUGo54TN/9iyPL7OZf2j9zmCQQCL2BAnR5EB1cGCXL1eXKbI3AB5dt5trUpfHlvHm+p/6dRC1t7l6+XCIFbCQwP4KFVA6jXOwaTCY4uPMeCEWvRZulKP1hGalaozh9jl7PygZ/4qMurt3OhL/D0pji5TRMIBAKBGyjfzrOtTeHLe/N4S/0/wexAl6eXCIHbUQeqGbWgFy3G1UNSwNktV5jTbwWZyTlym1YiIX7BdI/twHNtHyN+6I9UDqhEpi5dbrMEAoEPYsK7U9YE5d15trUpfHlvHp/f/1OhKf5ZeXqJEHgEpVrJoG860+GF5qjUSq4dSmV2z+XcTPANZ7RHzU5sGLmAh5qMkNsUgUDgQ6gC1GAykXHxFudXH5fbHEEJlG/n2dam8KJ5vLnfZ9f1xR3o8vQSIfAYkiTR7Y029Pm4PepAFTfPpTOz53IuH7out2k20TyqMa/d96zcZggEAh/i3td6Ehgdgj5Lx7YXl5N0IFFukwRWKN/OM9jeFF40j4fQetDq8/L9EiHwGJIk0WZyI4bN6op/BT+yk3KYN2gNZ9ZdlNs0gUAgcDnhjaK4/73+qAJUGPL03PonRW6TBFZQyW2AV+AXbpsDaOt+vkReqjntQhkEhixzFLmke4wZChGdzMeUtq9A4AIaDKhFUHwgi+I2kpWUzW8TNtH3k/toNaGB3KYJBAKBS9GEaJAk0e/Z2xHOc3kmMd7cRcQEGHNB8gOFZI4mlxRZL4svEQKvpnrbKCauG8i8watJu5jF5nf2Uad7DBViguU2TSAQCATlDJG2UV4p2H7PmGveZsorf234BD5DeJ0KtHiwPgqVhDZLz83zvlFAKBAIBIKyhSzO8xdffMGgQYMYMmQIDz/8MElJSXKYUb6x1H4vH9FBQ+Cl1OpaFU2wGn2WnkXjN5Kw47LcJpUbhG4LBAKBGVmc50ceeYQVK1awbNkyunbtyjfffCOHGeUba72bQXTQEHgtNe6LZuS8HgSE+5ObmseCURs4+puYdOkJhG4LBAKBGVmc5+Dgu3mKOTk5IjleDgq231P4m7dJfu7roJGXCjcPi3QQgdPU6lKNCav6ExoTjC5Tx/Ind/DHl0cwmcRgAXcidFsgcD8KlRIkCZPeSOL2MxgNRrlNElhAtoLBzz//nN9//52QkBDmzp0rlxnlm4KdM2zttuEI+YWJktoc1S6tIFEgKIWoxuFM2jCQ+cPWknLqFpun7iPjaha9P2iPpBBOnbsQui0QuJfKzaoQ1bY6l7ef4/zKE6gCVtL5k0HiZdXLcFvkeeLEiQwcOLDYn40bNwLw/PPPs23bNgYNGsS8efPcZYagNPzCIayFuYdzWAv3RJzzCxP1GaIgUeAyKsSE8PDGwcS0i8KoN/Hnt3+z5JFN6LUGuU3zWYRuy4RYmRPcRuWvpvfM0YQ3igIkkvZdxGQQq2rehtsiz3PmzLFpv0GDBvHYY4/xzDPPuMsUgZzcKUzMvbstvyBRtLsTOIl/BT/Gr+jPkkmbObP6IscXnyfrei5xC/ugCbZSECuwitBtGRArc4IiKDUqAioHyW2GoARkyXlOSEi489+bNm2idu3acpgh8ASWChNFQaLAhaj9VYya15OWk+ojKRUkbLvKrD7LyUzKktu0MoXQbTcgVuYEAp9ElpznadOmcf78eSRJolq1arzzzjtymCHwBPmFiYemFI6slLWoc/6kRjF1URYUSgUDPu9IaJUgdnxymOtHbjCn7yomrRtIUGSg3OaVCYRuuwE5VuaEVgkETiOL8/zVV1/JcVmBXJT1kd5i2dUrkCSJzv9phdFoYucnh0lLzOTS3us0GFhTbtPKBEK33YCnV+aEVgkELkFMGBR4hvzCxNIcZ18rnBHLrl5H7H1VUGoUGLRG9s84ji7HSj9zgUBuCrYMVYW4r1UoCK0SCFyIcJ4F3kNiPKy/F3aNMf9M/F1ui0rH0qRGMaFRVmI7RtNgSE0kCc5uvsyc/ivJvpEjt1kCgWVihkLvvdBhofmnuyLBQqsEApchnGeBd+CrURFREOl1KFQKhk7vyn3PNEWpVnBlfwqzei7n1oUMuU0TCCxj68qcMwit8klMRhOIAVBeh3CeBd6Br0ZFPLnsKrAZSSHR45176fV/7VAHqLhxJp1ZvZdz9UiK3KYJBPIgtMqnCKpaAYCMi7fY9soKDDrRv96bkG3CoEBQCF+OipT1gkgfRZIk2j3ehNDoIJY/tZ3MK9n8PGg1D8zuTp3uMXKbJxB4HqFVPkP7t3qTcfEmV/5I4PzvfxPToRb1hjeX2yzBbUTkWeAd+HpUxBPLrgKHaDikFmMW9yYoIoDcG3ksGruBQ7+cktssgUAehFb5BOogDW1f6YE6SIPJaCRH1G14FSLyLPAeRFRE4CZi76vChDUD+OWBdaRdyGT1M7vIuppNhxdaIEmS3OYJBAJBcYQ0eS0i8izwLkRUROAmIuqH8fDGQUQ2CcOgNbLl/YOsfvEPjAaj3KYJBAKBwIcQzrNAICg3hEQHMXHdQGI7RIHRxIEZJ1g8cRP6PL3cpgkEgjKKQpKQkDCZTJy6eYwbOV7eRUpQKsJ5FggE5Qr/UD/G/d6PhkNqIUlwctkFFk/YZG4JJRAIBC4mQB3AQ41HolaoOZd2irjVvcnUitaZvoxwngUCQblD5adi+Oxu1OxSFSS4ciiZnBt5cpslEAjKKK/d9wyPNo9DqVByMeMc/9w6KbdJAicQzrNAICiXKJQKopuGI0kSWcl5/PG/wyL6LBAI3IIkSdSrVBuFcLvKBOJfUW7yUuHmYe+fpCcQlEE6PN+Mqq0qYzKY2P3VMZY+vhm9VgwjEAgEAoF1hPMsJ4nxsP5e2DXG/DPxd7ktEgjKFYHhAUxY1Z96fWIwmeDvRedZOGIt2ixd6QcLBAKBh9Bna+U2QVAA4TzLRV4qHHoRDLmgzzD/PDRFRKAFAg+jDlAz6pdetHjwHiQFnN1yhdl9V5CZLIYSCAQC+QiMDEEdrMGoN3H0+z+4tOUfuU0S3EY4z3KRfQkkdeFtktq8XSAQeBSlWsmgrzvRYUpzVBolSYdTmdVjGTfOp8ltmkAgKKcERYfQffoI/CsFoE3XsueddRhEW02vQDjPchFYHUxFloZNOvN2gUDgcSRJovsbbenzSXvUgSpunc9gVq8VXD54XW7TBAJBOSW6dXWq3FcTSSlh0Oox6sVQJ29AOM9y4RcOLaeB0h9UIeafLaeJyXoCgcy0ebgRw2d3w7+CH9lJOcwbvIYzay/KbZZAICinSJKY0+1tCOdZTmKGQu+90GGh+WfMULktcg7ROURQRqjfvyZx8X0IigokL03Lbw9t4uBPx+U2SyAQCARegHCe5cYvHMJa+H7EWXQOEZQxqreNYtL6gYTVDkWfbWD1C7vZ9t8DmEyiF7RAIBCUZ4TzLHAe0TlEUEapVLsCkzYOIrp5OEadiR0fH2bntL/kNksgEAgEMiKcZ4HziM4hgjJMcEQgD60eQGhMECaDiYTtV+Q2SSAQCAQyIpxngfOIziGCMo4mRE1wVAAmEyTuTeLob2fkNkkgEAgEMiGcZ4HziM4hgjKOJEkM+roToTFB6LL0LH9yB398+ZfIfxYIBIJyiEpuAwRlhJihENHJnKoRWF04zoIyR1TjcCZtHMQvQ9eQfDKNTW/vJ/1qFn0+uA9JIVpJCQQCN2ICvdaAQWdAXfreAjcjIs8C11FWOocIBFaoUDWYSRsGU719JCaDib3fHmfJpE3oxdQvgUDgJsKbRCMpJXKSMlg7YT65t3LkNqncI5xngUAgsAP/Cn48uLw/9QfFIgHH488zb9hatJm6Uo8VCAQCe2n+ZAcaPtgGhUpJ6tGrnPr1kNwmlXuE8ywQCAR2ovZXMXJuD1o9XB+FUsGFHVeZ1XsZGdey5DZNIBCUMSSFRKOJbVEHazAB+iyt3CaVe4TzLBAIBA6gUCro/1lHurzWCpWfkutHbzKrx3JSTt+S2zSBQFDGEFUV3oVwngUCgcBBJEn6//buNiSqNg8D+OUz2m5rL6zga4Vgm9pm2ANFubVWU5k1jYYZkVtgKgpJlpZRRlEJhZIVfRGj3LGt/WAlyW70oZxkJCXBChPE7EVMcsYpK9MtX6Z7PwzP9PZkZ0y9z+j1A+E4euBimLn4c5+Z++Dv2b9i7am/YYKnB962duOf0f9B612L7GhERDRCpA7PxcXFCAkJQWdnp8wYREQ/5detoYj/1wr88c9/wHvrB/w77gYe3xqbNwlibxPReCdteG5vb8edO3cQEBAgKwIR0bD5y6oZ2FK+BpP8/4S+rn7czLkrO9KwY28TEUnc5/n48ePIzs7G9u3bf/fvNpsNAGC2WEczFhHR0PkCi479Ff/deQddA10APnXZWMDeJhq6rpfd0HRroNH8gs4OK8wf25w49w3e/fIO/e596PzfS5jNys8lZaxWMwBlnS1leL516xZ8fHwQGhr63f+xWu3l+4+kjNGKRUQ0PHw+HVqtVgQGBsrLMkzY20Q/bzqmAwByr2Y6f7KX/ae84hpQMayx6DNKOnvEhufExES8fPnym8d37dqFoqIiFBcXD3p+WFgYLl26BG9vb2g0mpGKSUQ0Imw2G6xWK8LCwmRHUYy9TUTjlTOd7SaEEKOQyaGpqQmJiYmYOHEiAMBsNsPHxweXL1+Gt7f3aEYhIiIF2NtERJ+M+vD8Na1WiytXrsDLy0tmDCIiUoi9TUTjmcvs86y27ZFOnz4NvV6P2NhYJCUlwWJRx76ueXl5iI6Ohl6vR3p6Orq6umRHAgDcuHEDOp0OoaGhePjwoew4MJlMWL16NVatWoWzZ8/KjuOwf/9+REREYN26dbKjOLS3t2Pr1q1Yu3YtdDodSkpKZEcCAPT29iI+Ph4xMTHQ6XQ4c+aM7EhfsNlsWL9+PdLS0mRHkUJtnQ2wt52lpt5mZzuHve08pzpbuIAXL16IpKQksWzZMvHq1SvZcYQQQrx7985xXFJSIg4ePCgxzSdVVVWiv79fCCFEfn6+yM/Pl5zI7vHjx+LJkydiy5Ytor6+XmqWgYEBsWLFCtHa2ip6e3uFXq8Xzc3NUjP9pra2VjQ0NAidTic7ioPFYhENDQ1CCPvrPioqShXP18ePH0V3d7cQQoi+vj4RHx8v7t+/LzfUZ4qLi0VWVpZITU2VHWXUqbGzhWBvO0stvc3Odh5723nOdLZLrDz/tj2Sm5t6blA5adIkx/H79+9Vk23JkiVwd7d/D3TevHkwm82SE9nNnDkTQUFBsmMAAOrr6xEYGIgZM2ZgwoQJ0Ol0qKhQx1eXFyxYgKlTp8qO8QUfHx/MmTMHgP11HxQUpIoVOzc3N3h6egIABgYGMDAwoJr3odlsRmVlJeLj42VHkUKNnQ2wt52llt5mZzuPve0cZztb2j7PSinZHkmWU6dO4dq1a5g8eTIuXLggO843rl69ijVr1siOoToWiwV+fn6O3319fVFfXy8xketoa2tDY2MjwsPDZUcBYL/MFhcXh9bWViQkJKgm17Fjx5CdnY2enh7ZUUadmjsbYG+7Inb2z2Fv/5izna2K4flnt0caKYPlWrlyJTIzM5GZmYmioiJcvHgRGRmjs7fpj3IBQGFhITQaDWJiYkYlk9Jc5Lp6enqQkZGBnJycL1bwZNJoNCgvL0dXVxfS09Px6NEjBAcHS810+/ZteHl5ISwsDHfvjr27DALq7WyAvT0Such1sbd/bCidrYrh2WAw/O7jTU1NaGtrQ2xsLAD7snpcXNyobY/0vVxf0+v1SE1NHbUS/lGusrIyVFZWwmAwjOrlEKXPl2y+vr5fXBa1WCzw9fWVmEj9+vv7kZGRAb1ej6ioKNlxvjFlyhQsXLgQVVVV0ofne/fuwWg0wmQyobe3F93d3dizZw9OnDghNddwUmtnD5bta+xtO1fobXb20LC3lRlKZ6v6M88hISGoqamB0WiE0WiEn58fysrKVLGvaEtLi+O4oqJCFZ8LA+zfSD537hwKCwsde7LSl+bOnYuWlhY8f/4cfX19uH79OrRarexYqiWEwIEDBxAUFIRt27bJjuPQ2dnp2JXgw4cPqK6uVsX7cPfu3TCZTDAajTh58iQWLVo0pgbnwai5swH2tqtiZzuPva3cUDpbFSvPrqigoADPnj2Dm5sbpk2bhiNHjsiOBADIzc1FX1+f480SHh6Oo0ePSk4F3Lx5E7m5uejs7ERaWhpmz56N8+fPS8ni7u6OQ4cOISUlBTabDRs2bMCsWbOkZPlaVlYWamtr8fr1a0RGRmLHjh3YuHGj1Ex1dXUoLy9HcHCwY0UxKysLS5culZqro6MD+/btg81mgxAC0dHRWL58udRMpG7sbeeopbfZ2c5jb48s6TdJISIiIiJyFar+2AYRERERkZpweCYiIiIiUojDMxERERGRQhyeiYiIiIgU4vBMRERERKQQh2ca89rb26HVavHmzRsAwNu3b6HVatHW1obk5GTMnz8faWlpckMSEZEDe5vUjMMzjXn+/v7YvHkzCgoKANj3et20aROmT5+OlJQU5OfnS05IRESfY2+TmnF4pnEhMTERDx48gMFgQF1dHZKSkgAAERER8PT0lJyOiIi+xt4mteIdBmlc8PDwwN69e5GSkoLi4mJ4eHjIjkRERINgb5NaceWZxg2TyQRvb280NzfLjkJERAqwt0mNODzTuNDY2Ijq6mqUlpbCYDCgo6NDdiQiIhoEe5vUisMzjXlCCBw+fBg5OTkICAhAcnIy8vLyZMciIqLvYG+TmnF4pjGvtLQU/v7+WLx4MQAgISEBT58+RW1tLRISErBz507U1NQgMjISVVVVktMSERF7m9TMTQghZIcgIiIiInIFXHkmIiIiIlKIwzMRERERkUIcnomIiIiIFOLwTERERESkEIdnIiIiIiKFODwTERERESnE4ZmIiIiISCEOz0RERERECv0fgArjqyVY3jUAAAAASUVORK5CYII=\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1390,12 +1483,12 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "N = 1000\n", - "pi1 = pi2 = N/2\n", + "pi1 = pi2 = N / 2\n", "d11 = stats.norm(loc=0, scale=0.8)\n", "f11 = d11.rvs(N)\n", "d21 = stats.norm(loc=-1.75, scale=0.75)\n", @@ -1409,17 +1502,17 @@ "d13 = [0.2, 0.3, 0.5]\n", "f13 = np.random.choice(a=[1, 2, 3], size=N, p=d13)\n", "d23 = [0.6, 0.1, 0.3]\n", - "f23 = np.random.choice(a=[1, 2, 3], size=N, p=d23) " + "f23 = np.random.choice(a=[1, 2, 3], size=N, p=d23)" ] }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1433,16 +1526,20 @@ "source": [ "fig, axs = plt.subplots(ncols=3, nrows=2, figsize=(12, 5), sharex=\"col\")\n", "\n", - "colors = ['green', 'blue', 'red', ]*2\n", + "colors = [\n", + " \"green\",\n", + " \"blue\",\n", + " \"red\",\n", + "] * 2\n", "labels = [\"$f_{11}$\", \"$f_{12}$\", \"$_{f13}$\", \"$_{f21}$\", \"$_{f22}$\", \"$_{f23}$\"]\n", "\n", "for ax, f, color, label in zip(axs.flatten(), [f11, f12, f13, f21, f22, f23], colors, labels):\n", " sns.histplot(f, ax=ax, color=color, bins=10)\n", " ax.set_yticklabels([])\n", " ax.set_ylabel(None)\n", - " ax.spines['top'].set_visible(False)\n", - " ax.spines['right'].set_visible(False)\n", - " ax.spines['left'].set_visible(False)\n", + " ax.spines[\"top\"].set_visible(False)\n", + " ax.spines[\"right\"].set_visible(False)\n", + " ax.spines[\"left\"].set_visible(False)\n", " ax.set_title(label)\n", " if color == \"red\":\n", " ax.set_xticks([1, 2, 3])\n", @@ -1451,7 +1548,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1470,25 +1567,24 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "def naive_bayes(k, x, pis, fs):\n", - " factor_1 = pis[0] * fs[0][0].pdf(x[0]) * fs[0][1].pdf(x[1]) * fs[0][2][int(x[2]-1)]\n", - " factor_2 = pis[1] * fs[1][0].pdf(x[0]) * fs[1][1].pdf(x[1]) * fs[1][2][int(x[2]-1)]\n", + " factor_1 = pis[0] * fs[0][0].pdf(x[0]) * fs[0][1].pdf(x[1]) * fs[0][2][int(x[2] - 1)]\n", + " factor_2 = pis[1] * fs[1][0].pdf(x[0]) * fs[1][1].pdf(x[1]) * fs[1][2][int(x[2] - 1)]\n", " if k == 1:\n", - " return factor_1/(factor_1+factor_2)\n", + " return factor_1 / (factor_1 + factor_2)\n", " elif k == 2:\n", - " return factor_2/(factor_1+factor_2)\n", + " return factor_2 / (factor_1 + factor_2)\n", " else:\n", - " return None\n", - " " + " return None" ] }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -1499,7 +1595,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1518,11 +1614,11 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ - "X = df_default[['balance', 'income', 'is_student']].values\n", + "X = df_default[[\"balance\", \"income\", \"is_student\"]].values\n", "y = df_default.default.values\n", "\n", "gnb = GaussianNB().fit(X, y)" @@ -1530,7 +1626,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -1597,18 +1693,18 @@ " Total 9667 333 10000" ] }, - "execution_count": 119, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "classification.get_confusion_matrix(gnb, X, y, labels=['No', 'Yes'])" + "classification.get_confusion_matrix(gnb, X, y, labels=[\"No\", \"Yes\"])" ] }, { "cell_type": "code", - "execution_count": 154, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -1675,15 +1771,15 @@ " Total 9667 333 10000" ] }, - "execution_count": 154, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "y_pred = (gnb.predict_proba(X)[:, 1] > 0.2)\n", + "y_pred = gnb.predict_proba(X)[:, 1] > 0.2\n", "y_pred = np.array([\"Yes\" if y_i else \"No\" for y_i in y_pred])\n", - "classification.get_confusion_matrix(gnb, X, y, labels=['No', 'Yes'], y_pred=y_pred)" + "classification.get_confusion_matrix(gnb, X, y, labels=[\"No\", \"Yes\"], y_pred=y_pred)" ] }, { @@ -1702,7 +1798,7 @@ }, { "cell_type": "code", - "execution_count": 637, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ @@ -1713,7 +1809,7 @@ "N_samples = 20\n", "scenario1_sample0 = np.random.multivariate_normal([0, 0], cov=np.eye(2), size=(N_datasets, N_samples))\n", "scenario1_sample0 = np.concatenate((scenario1_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", - "scenario1_sample1 = np.random.multivariate_normal([1, 1], cov=np.eye(2), size=(N_datasets, N_samples)) \n", + "scenario1_sample1 = np.random.multivariate_normal([1, 1], cov=np.eye(2), size=(N_datasets, N_samples))\n", "scenario1_sample1 = np.concatenate((scenario1_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", "scenarios_samples.append(np.concatenate((scenario1_sample0, scenario1_sample1), axis=1))\n", "\n", @@ -1722,7 +1818,7 @@ "cov = np.array([[1, -0.5], [-0.5, 1]])\n", "scenario2_sample0 = np.random.multivariate_normal([0, 0], cov=cov, size=(N_datasets, N_samples))\n", "scenario2_sample0 = np.concatenate((scenario2_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", - "scenario2_sample1 = np.random.multivariate_normal([1, 1], cov=cov, size=(N_datasets, N_samples)) \n", + "scenario2_sample1 = np.random.multivariate_normal([1, 1], cov=cov, size=(N_datasets, N_samples))\n", "scenario2_sample1 = np.concatenate((scenario2_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", "scenarios_samples.append(np.concatenate((scenario2_sample0, scenario2_sample1), axis=1))\n", "\n", @@ -1730,55 +1826,65 @@ "N_samples = 50\n", "df = 2\n", "cov = np.array([[1, -0.5], [-0.5, 1]])\n", - "scenario3_sample0 = stats.multivariate_t(loc=[0, 0], shape=cov, df=df).rvs(N_datasets*N_samples).reshape(N_datasets, N_samples, -1)\n", + "scenario3_sample0 = (\n", + " stats.multivariate_t(loc=[0, 0], shape=cov, df=df).rvs(N_datasets * N_samples).reshape(N_datasets, N_samples, -1)\n", + ")\n", "scenario3_sample0 = np.concatenate((scenario3_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", - "scenario3_sample1 = stats.multivariate_t(loc=[1, 1], shape=cov, df=df).rvs(N_datasets*N_samples).reshape(N_datasets, N_samples, -1)\n", + "scenario3_sample1 = (\n", + " stats.multivariate_t(loc=[1, 1], shape=cov, df=df).rvs(N_datasets * N_samples).reshape(N_datasets, N_samples, -1)\n", + ")\n", "scenario3_sample1 = np.concatenate((scenario3_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", "scenarios_samples.append(np.concatenate((scenario3_sample0, scenario3_sample1), axis=1))\n", "\n", "# scenario 4\n", "N_samples = 20\n", - "scenario4_sample0 = np.random.multivariate_normal([0, 0], cov=np.array([[1, 0.5], [0.5, 1]]), size=(N_datasets, N_samples))\n", + "scenario4_sample0 = np.random.multivariate_normal(\n", + " [0, 0], cov=np.array([[1, 0.5], [0.5, 1]]), size=(N_datasets, N_samples)\n", + ")\n", "scenario4_sample0 = np.concatenate((scenario4_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", - "scenario4_sample1 = np.random.multivariate_normal([1, 1], cov=np.array([[1, -0.5], [-0.5, 1]]), size=(N_datasets, N_samples)) \n", + "scenario4_sample1 = np.random.multivariate_normal(\n", + " [1, 1], cov=np.array([[1, -0.5], [-0.5, 1]]), size=(N_datasets, N_samples)\n", + ")\n", "scenario4_sample1 = np.concatenate((scenario4_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", "scenarios_samples.append(np.concatenate((scenario4_sample0, scenario4_sample1), axis=1))\n", "\n", "# scenario 5\n", "N_samples = 20\n", - "centers = N_samples//2\n", - "X, y = make_blobs(n_samples=N_datasets*2*N_samples, centers=centers, cluster_std=0.5, n_features=2, center_box=(-3, 3))\n", - "y = (y > centers//2).astype(\"int\").reshape(N_datasets, 2*N_samples, 1)\n", - "scenario5_sample = np.concatenate((X.reshape(N_datasets, 2*N_samples, 2), y), axis=2)\n", + "centers = N_samples // 2\n", + "X, y = make_blobs(\n", + " n_samples=N_datasets * 2 * N_samples, centers=centers, cluster_std=0.5, n_features=2, center_box=(-3, 3)\n", + ")\n", + "y = (y > centers // 2).astype(\"int\").reshape(N_datasets, 2 * N_samples, 1)\n", + "scenario5_sample = np.concatenate((X.reshape(N_datasets, 2 * N_samples, 2), y), axis=2)\n", "scenarios_samples.append(scenario5_sample)\n", "\n", "# scenario 6\n", "N_samples = 6\n", "scenario6_sample0 = np.random.multivariate_normal([0, 0], cov=np.eye(2), size=(N_datasets, N_samples))\n", "scenario6_sample0 = np.concatenate((scenario6_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", - "scenario6_sample1 = np.random.multivariate_normal([1, 1], cov=2*np.eye(2), size=(N_datasets, N_samples)) \n", + "scenario6_sample1 = np.random.multivariate_normal([1, 1], cov=2 * np.eye(2), size=(N_datasets, N_samples))\n", "scenario6_sample1 = np.concatenate((scenario6_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", "scenarios_samples.append(np.concatenate((scenario6_sample0, scenario6_sample1), axis=1))" ] }, { "cell_type": "code", - "execution_count": 638, + "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 638, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1798,17 +1904,24 @@ }, { "cell_type": "code", - "execution_count": 639, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "methods = [\"knn_1\", \"knn_cv\", \"lda\", \"logistic\", \"gnb\", \"qda\"]\n", - "colors_palette = {\"knn_1\": \"deepskyblue\", \"knn_cv\": \"deepskyblue\", \"lda\": \"green\", \"logistic\": \"green\", \"gnb\": \"pink\", \"qda\": \"red\"}" + "colors_palette = {\n", + " \"knn_1\": \"deepskyblue\",\n", + " \"knn_cv\": \"deepskyblue\",\n", + " \"lda\": \"green\",\n", + " \"logistic\": \"green\",\n", + " \"gnb\": \"pink\",\n", + " \"qda\": \"red\",\n", + "}" ] }, { "cell_type": "code", - "execution_count": 640, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -1833,25 +1946,29 @@ " for dataset in scenario_samples:\n", " X_train = dataset[:, :-1]\n", " y_train = dataset[:, -1]\n", - " lda = LinearDiscriminantAnalysis(solver='svd').fit(X_train, y_train).score(X_test, y_test)\n", + " lda = LinearDiscriminantAnalysis(solver=\"svd\").fit(X_train, y_train).score(X_test, y_test)\n", " qda = QuadraticDiscriminantAnalysis().fit(X_train, y_train).score(X_test, y_test)\n", " gnb = GaussianNB().fit(X_train, y_train).score(X_test, y_test)\n", " logistic = LogisticRegression().fit(X_train, y_train).score(X_test, y_test)\n", " knn_1 = KNeighborsClassifier(n_neighbors=1).fit(X_train, y_train).score(X_test, y_test)\n", - " knn_cv = GridSearchCV(KNeighborsClassifier(), {\"n_neighbors\": np.arange(1, 10)}, cv=5).fit(X_train, y_train).best_estimator_.score(X_test, y_test)\n", - " scenario_scores.append([num+1, 1-knn_1, 1-knn_cv, 1-lda, 1-logistic, 1-gnb, 1-qda])\n", + " knn_cv = (\n", + " GridSearchCV(KNeighborsClassifier(), {\"n_neighbors\": np.arange(1, 10)}, cv=5)\n", + " .fit(X_train, y_train)\n", + " .best_estimator_.score(X_test, y_test)\n", + " )\n", + " scenario_scores.append([num + 1, 1 - knn_1, 1 - knn_cv, 1 - lda, 1 - logistic, 1 - gnb, 1 - qda])\n", "\n", "scenarios_scores = pd.DataFrame(scenario_scores, columns=[\"scenario\", *methods])" ] }, { "cell_type": "code", - "execution_count": 641, + "execution_count": 60, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ "
" ] @@ -1864,10 +1981,10 @@ "fig, axs = plt.subplots(ncols=3, nrows=2, figsize=(18, 10), sharex=True)\n", "\n", "for num, ax in enumerate(axs.flatten()):\n", - " data = scenarios_scores[scenarios_scores.scenario == num+1].drop(columns=\"scenario\")\n", + " data = scenarios_scores[scenarios_scores.scenario == num + 1].drop(columns=\"scenario\")\n", " sns.boxplot(data=data, ax=ax, palette=colors_palette)\n", " ax.set_title(f\"Scenario {num+1}\")\n", - " \n", + "\n", "plt.tight_layout()" ] }, @@ -1880,7 +1997,7 @@ }, { "cell_type": "code", - "execution_count": 738, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1992,20 +2109,18 @@ "3 0.80 0.0 5 27 32 " ] }, - "execution_count": 738, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_bikeshare = pd.read_csv('Data/Bikeshare.csv', index_col=0)\n", + "df_bikeshare = pd.read_csv(\"Data/Bikeshare.csv\", index_col=0)\n", "month_type = CategoricalDtype(\n", - " categories=['Jan', 'Feb', 'March', 'April', 'May', 'June', 'July', 'Aug', 'Sept', 'Oct', 'Nov', 'Dec'],\n", - " ordered=True\n", + " categories=[\"Jan\", \"Feb\", \"March\", \"April\", \"May\", \"June\", \"July\", \"Aug\", \"Sept\", \"Oct\", \"Nov\", \"Dec\"], ordered=True\n", ")\n", "hr_type = CategoricalDtype(\n", - " categories=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23],\n", - " ordered=True\n", + " categories=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23], ordered=True\n", ")\n", "df_bikeshare.mnth = df_bikeshare.mnth.astype(month_type)\n", "df_bikeshare.hr = df_bikeshare.hr.astype(hr_type)\n", @@ -2021,7 +2136,7 @@ }, { "cell_type": "code", - "execution_count": 740, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -2144,13 +2259,13 @@ "39 137.095 177.324 temp " ] }, - "execution_count": 740, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bikeshare_ols = smf.ols('bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)', df_bikeshare).fit()\n", + "bikeshare_ols = smf.ols(\"bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)\", df_bikeshare).fit()\n", "table = bikeshare_ols.summary().tables[1]\n", "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", @@ -2160,19 +2275,9 @@ }, { "cell_type": "code", - "execution_count": 741, + "execution_count": 65, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 741, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": 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\n", @@ -2186,13 +2291,13 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", - "sns.lineplot(data=df[df.name.str.contains(\"C\\(mnth\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1)\n", - "sns.lineplot(data=df[df.name.str.contains(\"C\\(hr\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2)" + "sns.lineplot(data=df[df.name.str.contains(r\"C\\(mnth\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1)\n", + "sns.lineplot(data=df[df.name.str.contains(r\"C\\(hr\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2);" ] }, { "cell_type": "code", - "execution_count": 742, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -2209,7 +2314,7 @@ }, { "cell_type": "code", - "execution_count": 756, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -2223,27 +2328,29 @@ ], "source": [ "low_bikers = df_bikeshare[\n", - " df_bikeshare.mnth.isin([\"Dec\", \"Jan\", \"Feb\"]) \n", - " & df_bikeshare.hr.isin([1, 2, 3, 4]) \n", + " df_bikeshare.mnth.isin([\"Dec\", \"Jan\", \"Feb\"])\n", + " & df_bikeshare.hr.isin([1, 2, 3, 4])\n", " & df_bikeshare.weathersit.isin([\"light rain/snow\", \"heavy rain/snow\"])\n", "].bikers\n", "high_bikers = df_bikeshare[\n", - " df_bikeshare.mnth.isin([\"April\", \"May\", \"Jun\"]) \n", - " & df_bikeshare.hr.isin([7, 8, 9, 10]) \n", + " df_bikeshare.mnth.isin([\"April\", \"May\", \"Jun\"])\n", + " & df_bikeshare.hr.isin([7, 8, 9, 10])\n", " & (df_bikeshare.weathersit == \"clear\")\n", "].bikers\n", "print(f\"At low times there are in average {low_bikers.mean():.2f} bikers, with a std. dev of {low_bikers.std():.2f}.\")\n", - "print(f\"At peak times there are in average {high_bikers.mean():.2f} bikers, with a std. dev of {high_bikers.std():.2f}.\")" + "print(\n", + " f\"At peak times there are in average {high_bikers.mean():.2f} bikers, with a std. dev of {high_bikers.std():.2f}.\"\n", + ")" ] }, { "cell_type": "code", - "execution_count": 828, + "execution_count": 68, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -2256,22 +2363,30 @@ "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", "\n", "data = df_bikeshare[[\"hr\", \"bikers\"]].copy().sort_values(\"hr\").groupby([\"hr\"]).mean().reset_index()\n", - "spline = interpolate.UnivariateSpline (data.hr, data.bikers, s=50000)\n", + "spline = interpolate.UnivariateSpline(data.hr, data.bikers, s=50000)\n", "xs = np.linspace(0, 23, 1000)\n", "ys = spline(xs)\n", "sns.regplot(\n", - " data=df_bikeshare, x=df_bikeshare.hr.astype(\"int\"), y=\"bikers\", \n", - " fit_reg=False, scatter_kws=dict(alpha=0.5, s=2), x_jitter=0.2,\n", - " ax=ax1\n", + " data=df_bikeshare,\n", + " x=df_bikeshare.hr.astype(\"int\"),\n", + " y=\"bikers\",\n", + " fit_reg=False,\n", + " scatter_kws=dict(alpha=0.5, s=2),\n", + " x_jitter=0.2,\n", + " ax=ax1,\n", ")\n", - "ax1.plot(xs, ys, c=\"g\");\n", + "ax1.plot(xs, ys, c=\"g\")\n", "\n", "sns.regplot(\n", - " data=df_bikeshare, x=df_bikeshare.hr.astype(\"int\"), y=\"bikers\", \n", - " fit_reg=False, scatter_kws=dict(alpha=0.5, s=2), x_jitter=0.2,\n", - " ax=ax2\n", + " data=df_bikeshare,\n", + " x=df_bikeshare.hr.astype(\"int\"),\n", + " y=\"bikers\",\n", + " fit_reg=False,\n", + " scatter_kws=dict(alpha=0.5, s=2),\n", + " x_jitter=0.2,\n", + " ax=ax2,\n", ")\n", - "ax2.plot(xs, ys, c=\"g\");\n", + "ax2.plot(xs, ys, c=\"g\")\n", "ax2.set_yscale(\"log\")" ] }, @@ -2284,7 +2399,7 @@ }, { "cell_type": "code", - "execution_count": 831, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -2416,23 +2531,23 @@ "39 0.763 0.808 temp " ] }, - "execution_count": 831, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bikeshare_poisson = smf.poisson('bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)', df_bikeshare).fit()\n", + "bikeshare_poisson = smf.poisson(\"bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)\", df_bikeshare).fit()\n", "table = bikeshare_poisson.summary().tables[1]\n", "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\)\\[T\\.(.*)\\]\", \"\\g<1>\", regex=True)\n", - "df[~df.name.str.contains(\"C\\(mnth\\)\") & ~df.name.str.contains(\"C\\(hr\\)\")].round(3)" + "df[~df.name.str.contains(r\"C\\(mnth\\)\") & ~df.name.str.contains(\"C\\(hr\\)\")].round(3)" ] }, { "cell_type": "code", - "execution_count": 832, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -2441,7 +2556,7 @@ "" ] }, - "execution_count": 832, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" }, @@ -2458,22 +2573,22 @@ ], "source": [ "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", - "sns.lineplot(data=df[df.name.str.contains(\"C\\(mnth\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1)\n", - "sns.lineplot(data=df[df.name.str.contains(\"C\\(hr\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2)" + "sns.lineplot(data=df[df.name.str.contains(r\"C\\(mnth\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1)\n", + "sns.lineplot(data=df[df.name.str.contains(r\"C\\(hr\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# 4.6 Lab: Logistic Regression, LDA, QDA, and KNN" + "## 4.7 Lab: Classification Methods" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### 4.6.1 The Stock Market Data" + "### 4.7.1 The Stock Market Data" ] }, { @@ -2599,9 +2714,9 @@ } ], "source": [ - "df_stock = pd.read_csv('Data/Smarket.csv', usecols=range(1,10), index_col=0, parse_dates=True)\n", + "df_stock = pd.read_csv(\"Data/Smarket.csv\", usecols=range(1, 10), index_col=0, parse_dates=True)\n", "# convert direction to binary. Up is 1, Down is 0\n", - "df_stock.replace({'Up': 1, 'Down': 0}, inplace=True)\n", + "df_stock.replace({\"Up\": 1, \"Down\": 0}, inplace=True)\n", "df_stock.head()" ] }, @@ -2966,7 +3081,10 @@ ], "source": [ "# volume increases with year\n", - "plot = sns.boxplot(df_stock.index, df_stock['Volume'],)\n", + "plot = sns.boxplot(\n", + " df_stock.index,\n", + " df_stock[\"Volume\"],\n", + ")\n", "plot.set_xticklabels([str(date.year) for date in df_stock.index.unique()]);" ] }, @@ -2988,7 +3106,7 @@ ], "source": [ "# volumne by year and direction\n", - "ax = sns.boxplot(df_stock.index, df_stock['Volume'], hue=df_stock['Direction'])\n", + "ax = sns.boxplot(df_stock.index, df_stock[\"Volume\"], hue=df_stock[\"Direction\"])\n", "ax.set_xticklabels([str(date.year) for date in df_stock.index.unique()])\n", "handles, _ = ax.get_legend_handles_labels()\n", "ax.legend(handles, [\"Down\", \"Up\"]);" @@ -3007,12 +3125,12 @@ "metadata": {}, "outputs": [], "source": [ - "X = df_stock[df_stock.columns.difference(['Today', 'Direction'])]\n", - "y = df_stock['Direction']\n", - "X_train = X[:'2004']\n", - "y_train = y[:'2004']\n", - "X_test = X['2005':]\n", - "y_test = y['2005':]" + "X = df_stock[df_stock.columns.difference([\"Today\", \"Direction\"])]\n", + "y = df_stock[\"Direction\"]\n", + "X_train = X[:\"2004\"]\n", + "y_train = y[:\"2004\"]\n", + "X_test = X[\"2005\":]\n", + "y_test = y[\"2005\":]" ] }, { @@ -3083,12 +3201,12 @@ "logistic = skl_lm.LogisticRegression(C=1e10)\n", "logistic.fit(X, y)\n", "print_OLS_error_table(logistic, X, y)\n", - "print_classification_statistics(logistic, X, y, labels=['Down', 'Up'])\n", - "plot_ROC(logistic, X, y, label='Logistic Classification')\n", + "print_classification_statistics(logistic, X, y, labels=[\"Down\", \"Up\"])\n", + "plot_ROC(logistic, X, y, label=\"Logistic Classification\")\n", "\n", "# same results as statsmodels\n", - "#smLogistic = sm.Logit(y, sm.add_constant(X)).fit()\n", - "#print(smLogistic.summary())" + "# smLogistic = sm.Logit(y, sm.add_constant(X)).fit()\n", + "# print(smLogistic.summary())" ] }, { @@ -3152,8 +3270,8 @@ "logistic_test = skl_lm.LogisticRegression(C=1e10)\n", "logistic_test.fit(X_train, y_train)\n", "print_OLS_error_table(logistic_test, X_train, y_train)\n", - "print_classification_statistics(logistic_test, X_test, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(logistic_test, X_test, y_test, label='Logistic Classification Train/Test')" + "print_classification_statistics(logistic_test, X_test, y_test, labels=[\"Down\", \"Up\"])\n", + "plot_ROC(logistic_test, X_test, y_test, label=\"Logistic Classification Train/Test\")" ] }, { @@ -3170,8 +3288,8 @@ "outputs": [], "source": [ "# use only Lag1 and Lag2\n", - "X_train2 = X_train[['Lag1','Lag2']]\n", - "X_test2 = X_test[['Lag1','Lag2']]" + "X_train2 = X_train[[\"Lag1\", \"Lag2\"]]\n", + "X_test2 = X_test[[\"Lag1\", \"Lag2\"]]" ] }, { @@ -3203,14 +3321,14 @@ "source": [ "lda = LinearDiscriminantAnalysis()\n", "lda.fit(X_train2, y_train)\n", - "print('Prior probabilities of groups: ')\n", - "print(pd.DataFrame(data=lda.priors_.reshape((1,2)), columns=['Down', 'Up'], index=['']))\n", + "print(\"Prior probabilities of groups: \")\n", + "print(pd.DataFrame(data=lda.priors_.reshape((1, 2)), columns=[\"Down\", \"Up\"], index=[\"\"]))\n", "print()\n", - "print('Group means: ')\n", - "print(pd.DataFrame(data=lda.means_, columns=X_train2.columns, index=['Down', 'Up']))\n", + "print(\"Group means: \")\n", + "print(pd.DataFrame(data=lda.means_, columns=X_train2.columns, index=[\"Down\", \"Up\"]))\n", "print()\n", - "print('Coefficients of linear discriminant: ')\n", - "print(pd.DataFrame(data=lda.scalings_, columns=['LDA'], index=X_train2.columns))\n", + "print(\"Coefficients of linear discriminant: \")\n", + "print(pd.DataFrame(data=lda.scalings_, columns=[\"LDA\"], index=X_train2.columns))\n", "print()" ] }, @@ -3261,8 +3379,8 @@ } ], "source": [ - "print_classification_statistics(lda, X_test2, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(lda, X_test2, y_test, label='LDA Train/Test, only Lag1 and Lag2')\n", + "print_classification_statistics(lda, X_test2, y_test, labels=[\"Down\", \"Up\"])\n", + "plot_ROC(lda, X_test2, y_test, label=\"LDA Train/Test, only Lag1 and Lag2\")\n", "plot_classification(lda, X_test2, y_test)" ] }, @@ -3297,11 +3415,11 @@ "source": [ "qda = QuadraticDiscriminantAnalysis()\n", "qda.fit(X_train2, y_train)\n", - "print('Prior probabilities of groups: ')\n", - "print(pd.DataFrame(data=qda.priors_.reshape((1,2)), columns=['Down', 'Up'], index=['']))\n", + "print(\"Prior probabilities of groups: \")\n", + "print(pd.DataFrame(data=qda.priors_.reshape((1, 2)), columns=[\"Down\", \"Up\"], index=[\"\"]))\n", "print()\n", - "print('Group means: ')\n", - "print(pd.DataFrame(data=qda.means_, columns=X_train2.columns, index=['Down', 'Up']))\n", + "print(\"Group means: \")\n", + "print(pd.DataFrame(data=qda.means_, columns=X_train2.columns, index=[\"Down\", \"Up\"]))\n", "print()" ] }, @@ -3352,8 +3470,8 @@ } ], "source": [ - "print_classification_statistics(qda, X_test2, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(qda, X_test2, y_test, label='QDA Train/Test, only Lag1 and Lag2')\n", + "print_classification_statistics(qda, X_test2, y_test, labels=[\"Down\", \"Up\"])\n", + "plot_ROC(qda, X_test2, y_test, label=\"QDA Train/Test, only Lag1 and Lag2\")\n", "plot_classification(qda, X_test2, y_test)" ] }, @@ -3435,8 +3553,8 @@ } ], "source": [ - "print_classification_statistics(knn, X_test2, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(knn, X_test2, y_test, label='KNN Train/Test, only Lag1 and Lag2')\n", + "print_classification_statistics(knn, X_test2, y_test, labels=[\"Down\", \"Up\"])\n", + "plot_ROC(knn, X_test2, y_test, label=\"KNN Train/Test, only Lag1 and Lag2\")\n", "plot_classification(knn, X_test2, y_test)" ] }, @@ -3660,8 +3778,8 @@ } ], "source": [ - "df_caravan = pd.read_csv('Data/Caravan.csv')\n", - "df_caravan['Purchase'] = df_caravan['Purchase'].astype('category')\n", + "df_caravan = pd.read_csv(\"Data/Caravan.csv\")\n", + "df_caravan[\"Purchase\"] = df_caravan[\"Purchase\"].astype(\"category\")\n", "df_caravan.head()" ] }, @@ -3684,7 +3802,7 @@ } ], "source": [ - "df_caravan['Purchase'].value_counts()" + "df_caravan[\"Purchase\"].value_counts()" ] }, { @@ -3694,7 +3812,7 @@ "outputs": [], "source": [ "y = df_caravan.Purchase\n", - "X = df_caravan.drop('Purchase', axis=1).astype('float64')\n", + "X = df_caravan.drop(\"Purchase\", axis=1).astype(\"float64\")\n", "X_scaled = preprocessing.scale(X)" ] }, @@ -3769,12 +3887,12 @@ ], "source": [ "for i in [1, 3, 5]:\n", - " print(f'Using {i} neighbors')\n", + " print(f\"Using {i} neighbors\")\n", " knn = neighbors.KNeighborsClassifier(n_neighbors=i)\n", " knn.fit(X_train, y_train)\n", - " print_classification_statistics(knn, X_test, y_test, labels=['No', 'Yes'])\n", - " #plot_ROC(knn, X_test, y_test, label='KNN')\n", - " #skplt.metrics.plot_confusion_matrix(y_test, knn.predict(X_test), normalize=False)\n", + " print_classification_statistics(knn, X_test, y_test, labels=[\"No\", \"Yes\"])\n", + " # plot_ROC(knn, X_test, y_test, label='KNN')\n", + " # skplt.metrics.plot_confusion_matrix(y_test, knn.predict(X_test), normalize=False)\n", " plt.show()" ] }, @@ -3814,7 +3932,7 @@ "source": [ "logistic = skl_lm.LogisticRegression(C=1e10)\n", "logistic.fit(X_train, y_train)\n", - "print_classification_statistics(logistic, X_test, y_test, labels=['No', 'Yes'])" + "print_classification_statistics(logistic, X_test, y_test, labels=[\"No\", \"Yes\"])" ] }, { @@ -3843,10 +3961,10 @@ "source": [ "# using 25% changes of buying instead of 50%\n", "pred_p = logistic.predict_proba(X_test)\n", - "cm_df = pd.DataFrame({'True': y_test, 'Pred': pred_p[:,1] > .25})\n", - "cm_df.Pred.replace(to_replace={True:'Yes', False:'No'}, inplace=True)\n", + "cm_df = pd.DataFrame({\"True\": y_test, \"Pred\": pred_p[:, 1] > 0.25})\n", + "cm_df.Pred.replace(to_replace={True: \"Yes\", False: \"No\"}, inplace=True)\n", "print(classification_report(y_test, cm_df.Pred))\n", - "print(cm_df.groupby(['True', 'Pred']).size().unstack('True').T)" + "print(cm_df.groupby([\"True\", \"Pred\"]).size().unstack(\"True\").T)" ] } ], diff --git a/classification.py b/classification.py index 8782b06..5ea6668 100644 --- a/classification.py +++ b/classification.py @@ -1,4 +1,5 @@ import numpy as np + # import scikitplot as skplt import sklearn.linear_model as skl_lm from sklearn.metrics import confusion_matrix, log_loss @@ -7,90 +8,97 @@ from scipy import stats -# Helper functions to print classification diagnostics + def get_confusion_matrix(model, X_test, y_test, labels=None, norm=None, y_pred=None): + """Helper functions to print classification diagnostics""" if y_pred is None: y_pred = model.predict(X_test) cm = confusion_matrix(y_test, y_pred, labels=labels, normalize=norm) num_class = len(cm) labels = labels or np.arange(0, num_class) - df_cm = pd.DataFrame(cm, columns=pd.MultiIndex.from_product([['Predicted'], labels]), - index=pd.MultiIndex.from_product([['Real'], labels])).T + df_cm = pd.DataFrame( + cm, + columns=pd.MultiIndex.from_product([["Predicted"], labels]), + index=pd.MultiIndex.from_product([["Real"], labels]), + ).T df_cm.loc[("Predicted", "Total"), :] = df_cm.sum(axis=0) df_cm.loc[:, ("Real", "Total")] = df_cm.sum(axis=1) if not norm: df_cm = df_cm.astype("int") return df_cm - + def print_OLS_error_table(model, X_train, y_train): params = np.append(model.intercept_, model.coef_) predictions = model.predict(X_train) - + if isinstance(X_train, pd.DataFrame): X_cols = X_train.columns X_train = X_train.values else: - X_cols = [f'Feature {num}' for num in range(1, len(X_train))] + X_cols = [f"Feature {num}" for num in range(1, len(X_train))] newX = pd.DataFrame({"Constant": np.ones(len(X_train))}).join(pd.DataFrame(X_train)) - + if isinstance(model, skl_lm.LinearRegression): # for linear regression: - MSE = (sum((y_train-predictions)**2))/(len(newX)-len(newX.columns)) - var_b = MSE*(np.linalg.inv(np.dot(newX.T, newX)).diagonal()) + MSE = (sum((y_train - predictions) ** 2)) / (len(newX) - len(newX.columns)) + var_b = MSE * (np.linalg.inv(np.dot(newX.T, newX)).diagonal()) elif isinstance(model, skl_lm.LogisticRegression): # for logistic regression: pred_prob = model.predict_proba(X_train) - W = np.diagflat(pred_prob[:, 1]*(1-pred_prob[:, 1])) + W = np.diagflat(pred_prob[:, 1] * (1 - pred_prob[:, 1])) cov = np.dot(newX.T, np.dot(W, newX)) var_b = np.linalg.inv(cov).diagonal() - + std_errs = np.sqrt(var_b) - t_values = params/std_errs - p_values =[2*(1-stats.t.cdf(np.abs(i),(len(newX)-1))) for i in t_values] - - std_errs = np.round(std_errs,3) - t_values = np.round(t_values,3) - p_values = np.round(p_values,3) - params = np.round(params,4) - + t_values = params / std_errs + p_values = [2 * (1 - stats.t.cdf(np.abs(i), (len(newX) - 1))) for i in t_values] + + std_errs = np.round(std_errs, 3) + t_values = np.round(t_values, 3) + p_values = np.round(p_values, 3) + params = np.round(params, 4) + # log likelihood and AIC y_pred = model.predict_proba(X_train) - LLK = -log_loss(y_train, y_pred, normalize=False) + LLK = -log_loss(y_train, y_pred, normalize=False) df_model = len(*model.coef_) - aic = 2*(df_model+1) - 2*LLK - - model_stats = pd.DataFrame(np.array([params, std_errs, t_values, p_values]).T, - index=['Intercept', *X_cols], - columns=['Coefficients', 'Standard Errors', 't values', 'p values']) - - print(f'No. Observations: {len(y_train)}') - print(f'Df Residuals: {len(y_train)-df_model-1}') - print(f'Df Model: {df_model}') - print(f'Log-Likelihood: {LLK:.2f}') - print(f'AIC: {aic:.2f}') + aic = 2 * (df_model + 1) - 2 * LLK + + model_stats = pd.DataFrame( + np.array([params, std_errs, t_values, p_values]).T, + index=["Intercept", *X_cols], + columns=["Coefficients", "Standard Errors", "t values", "p values"], + ) + + print(f"No. Observations: {len(y_train)}") + print(f"Df Residuals: {len(y_train)-df_model-1}") + print(f"Df Model: {df_model}") + print(f"Log-Likelihood: {LLK:.2f}") + print(f"AIC: {aic:.2f}") print(model_stats) print() - -def plot_classification(model, X_test, y_test): - fig = plt.figure(figsize=(8,8)) - ax = plt.subplot(1,1,1) - + + +def plot_classification(model, X_test, y_test): + fig = plt.figure(figsize=(8, 8)) + ax = plt.subplot(1, 1, 1) + if isinstance(X_test, pd.DataFrame): X_cols = X_test.columns X_test = X_test.values else: - X_cols = ['', ''] - + X_cols = ["", ""] + if isinstance(y_test, pd.DataFrame): y_test = y_test.values - + # Data - ax.scatter(X_test[:,0], X_test[:,1], c=y_test, cmap=plt.cm.coolwarm, s=20, edgecolors='k') - ax.set_xlabel(X_cols[0]); - ax.set_ylabel(X_cols[1]); - + ax.scatter(X_test[:, 0], X_test[:, 1], c=y_test, cmap=plt.cm.coolwarm, s=20, edgecolors="k") + ax.set_xlabel(X_cols[0]) + ax.set_ylabel(X_cols[1]) + maxX1, maxX2 = np.max(X_test, axis=0) minX1, minX2 = np.min(X_test, axis=0) N_points_grid = 200 @@ -99,6 +107,6 @@ def plot_classification(model, X_test, y_test): est_region = model.predict(X) # regions - plt.contourf(xx, yy, est_region.reshape(xx.shape), cmap=plt.cm.coolwarm, alpha=0.5); - - return ax \ No newline at end of file + plt.contourf(xx, yy, est_region.reshape(xx.shape), cmap=plt.cm.coolwarm, alpha=0.5) + + return ax From 6d72779cdd93f5811ca82b52b811498b6db393d2 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 16 Oct 2021 13:50:39 +0200 Subject: [PATCH 30/32] ignore .virtual_documents --- .gitignore | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.gitignore b/.gitignore index 725aa08..00acbec 100644 --- a/.gitignore +++ b/.gitignore @@ -30,3 +30,6 @@ __pycache__/ .venv .vscode + +.virtual_documents + From c2adb2a8ec75363a6b05e14675bb0f8c1e7a18e1 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sat, 16 Oct 2021 18:33:39 +0200 Subject: [PATCH 31/32] lab: logistic and LDA --- 04_Classification.ipynb | 1309 +++++++++++++++++++++++++++++---------- classification.py | 7 +- 2 files changed, 992 insertions(+), 324 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index b56bf66..45784ab 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -2593,7 +2593,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -2640,7 +2640,7 @@ " \n", " \n", " \n", - " 2001-01-01\n", + " 2001\n", " 0.381\n", " -0.192\n", " -2.624\n", @@ -2651,7 +2651,7 @@ " 1\n", " \n", " \n", - " 2001-01-01\n", + " 2001\n", " 0.959\n", " 0.381\n", " -0.192\n", @@ -2662,7 +2662,7 @@ " 1\n", " \n", " \n", - " 2001-01-01\n", + " 2001\n", " 1.032\n", " 0.959\n", " 0.381\n", @@ -2673,7 +2673,7 @@ " 0\n", " \n", " \n", - " 2001-01-01\n", + " 2001\n", " -0.623\n", " 1.032\n", " 0.959\n", @@ -2684,7 +2684,7 @@ " 1\n", " \n", " \n", - " 2001-01-01\n", + " 2001\n", " 0.614\n", " -0.623\n", " 1.032\n", @@ -2699,30 +2699,63 @@ "" ], "text/plain": [ - " Lag1 Lag2 Lag3 Lag4 Lag5 Volume Today Direction\n", - "Year \n", - "2001-01-01 0.381 -0.192 -2.624 -1.055 5.010 1.1913 0.959 1\n", - "2001-01-01 0.959 0.381 -0.192 -2.624 -1.055 1.2965 1.032 1\n", - "2001-01-01 1.032 0.959 0.381 -0.192 -2.624 1.4112 -0.623 0\n", - "2001-01-01 -0.623 1.032 0.959 0.381 -0.192 1.2760 0.614 1\n", - "2001-01-01 0.614 -0.623 1.032 0.959 0.381 1.2057 0.213 1" + " Lag1 Lag2 Lag3 Lag4 Lag5 Volume Today Direction\n", + "Year \n", + "2001 0.381 -0.192 -2.624 -1.055 5.010 1.1913 0.959 1\n", + "2001 0.959 0.381 -0.192 -2.624 -1.055 1.2965 1.032 1\n", + "2001 1.032 0.959 0.381 -0.192 -2.624 1.4112 -0.623 0\n", + "2001 -0.623 1.032 0.959 0.381 -0.192 1.2760 0.614 1\n", + "2001 0.614 -0.623 1.032 0.959 0.381 1.2057 0.213 1" ] }, - "execution_count": 14, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_stock = pd.read_csv(\"Data/Smarket.csv\", usecols=range(1, 10), index_col=0, parse_dates=True)\n", + "df_stock = pd.read_csv(\"Data/Smarket.csv\", parse_dates=True)\n", "# convert direction to binary. Up is 1, Down is 0\n", "df_stock.replace({\"Up\": 1, \"Down\": 0}, inplace=True)\n", + "df_stock.Year = pd.to_datetime(df_stock.Year, format=\"%Y\").dt.year.astype(\"str\")\n", + "df_stock = df_stock.set_index(\"Year\")\n", "df_stock.head()" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 1250 entries, 2001 to 2005\n", + "Data columns (total 8 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Lag1 1250 non-null float64\n", + " 1 Lag2 1250 non-null float64\n", + " 2 Lag3 1250 non-null float64\n", + " 3 Lag4 1250 non-null float64\n", + " 4 Lag5 1250 non-null float64\n", + " 5 Volume 1250 non-null float64\n", + " 6 Today 1250 non-null float64\n", + " 7 Direction 1250 non-null int64 \n", + "dtypes: float64(7), int64(1)\n", + "memory usage: 87.9+ KB\n" + ] + } + ], + "source": [ + "df_stock.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -2871,7 +2904,7 @@ "max 3.152470 5.733000 1.000000 " ] }, - "execution_count": 15, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -2882,232 +2915,254 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
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Lag1Lag2Lag3Lag4Lag5VolumeTodayDirection
 Lag1Lag2Lag3Lag4Lag5VolumeTodayDirection
Lag11.000000-0.026294-0.010803-0.002986-0.0056750.040910-0.026155-0.039757Lag11.000000-0.026294-0.010803-0.002986-0.0056750.040910-0.026155-0.039757
Lag2-0.0262941.000000-0.025897-0.010854-0.003558-0.043383-0.010250-0.024081Lag2-0.0262941.000000-0.025897-0.010854-0.003558-0.043383-0.010250-0.024081
Lag3-0.010803-0.0258971.000000-0.024051-0.018808-0.041824-0.0024480.006132Lag3-0.010803-0.0258971.000000-0.024051-0.018808-0.041824-0.0024480.006132
Lag4-0.002986-0.010854-0.0240511.000000-0.027084-0.048414-0.0069000.004215Lag4-0.002986-0.010854-0.0240511.000000-0.027084-0.048414-0.0069000.004215
Lag5-0.005675-0.003558-0.018808-0.0270841.000000-0.022002-0.0348600.005423Lag5-0.005675-0.003558-0.018808-0.0270841.000000-0.022002-0.0348600.005423
Volume0.040910-0.043383-0.041824-0.048414-0.0220021.0000000.0145920.022951Volume0.040910-0.043383-0.041824-0.048414-0.0220021.0000000.0145920.022951
Today-0.026155-0.010250-0.002448-0.006900-0.0348600.0145921.0000000.730563Today-0.026155-0.010250-0.002448-0.006900-0.0348600.0145921.0000000.730563
Direction-0.039757-0.0240810.0061320.0042150.0054230.0229510.7305631.000000Direction-0.039757-0.0240810.0061320.0042150.0054230.0229510.7305631.000000
\n", - "
" + "\n" ], "text/plain": [ - " Lag1 Lag2 Lag3 Lag4 Lag5 Volume \\\n", - "Lag1 1.000000 -0.026294 -0.010803 -0.002986 -0.005675 0.040910 \n", - "Lag2 -0.026294 1.000000 -0.025897 -0.010854 -0.003558 -0.043383 \n", - "Lag3 -0.010803 -0.025897 1.000000 -0.024051 -0.018808 -0.041824 \n", - "Lag4 -0.002986 -0.010854 -0.024051 1.000000 -0.027084 -0.048414 \n", - "Lag5 -0.005675 -0.003558 -0.018808 -0.027084 1.000000 -0.022002 \n", - "Volume 0.040910 -0.043383 -0.041824 -0.048414 -0.022002 1.000000 \n", - "Today -0.026155 -0.010250 -0.002448 -0.006900 -0.034860 0.014592 \n", - "Direction -0.039757 -0.024081 0.006132 0.004215 0.005423 0.022951 \n", - "\n", - " Today Direction \n", - "Lag1 -0.026155 -0.039757 \n", - "Lag2 -0.010250 -0.024081 \n", - "Lag3 -0.002448 0.006132 \n", - "Lag4 -0.006900 0.004215 \n", - "Lag5 -0.034860 0.005423 \n", - "Volume 0.014592 0.022951 \n", - "Today 1.000000 0.730563 \n", - "Direction 0.730563 1.000000 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_stock.corr()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0.04090991, 0.04338321, 0.04182369, 0.04841425, 0.03486008,\n", - " 0.02295096, 0.7305629 , 0. ])" + "" ] }, - "execution_count": 17, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# very small correlations (today and direction are obiously correlated)\n", - "corr = df_stock.corr().values\n", - "np.max(np.abs(np.triu(corr, k=1)), axis=1)" + "df_stock.corr().style.background_gradient(\"PiYG\", axis=1)" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ "# volume increases with year\n", - "plot = sns.boxplot(\n", - " df_stock.index,\n", - " df_stock[\"Volume\"],\n", - ")\n", - "plot.set_xticklabels([str(date.year) for date in df_stock.index.unique()]);" + "sns.boxplot(data=df_stock, x=df_stock.index, y=\"Volume\");" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ "# volumne by year and direction\n", - "ax = sns.boxplot(df_stock.index, df_stock[\"Volume\"], hue=df_stock[\"Direction\"])\n", - "ax.set_xticklabels([str(date.year) for date in df_stock.index.unique()])\n", + "ax = sns.boxplot(data=df_stock, x=df_stock.index, y=\"Volume\", hue=\"Direction\")\n", "handles, _ = ax.get_legend_handles_labels()\n", "ax.legend(handles, [\"Down\", \"Up\"]);" ] @@ -3116,272 +3171,886 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Data" + "#### Data for sklearn" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "X = df_stock[df_stock.columns.difference([\"Today\", \"Direction\"])]\n", - "y = df_stock[\"Direction\"]\n", - "X_train = X[:\"2004\"]\n", - "y_train = y[:\"2004\"]\n", - "X_test = X[\"2005\":]\n", - "y_test = y[\"2005\":]" + "y = df_stock[\"Direction\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## 4.6.2 Logistic regression" + "### 4.7.2 Logistic Regression" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Logistic regression, not test/train split" + "#### statsmodels" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No. Observations: 1250\n", - "Df Residuals: 1243\n", - "Df Model: 6\n", - "Log-Likelihood: -863.79\n", - "AIC: 1741.58\n", - " Coefficients Standard Errors t values p values\n", - "Intercept -0.1259 0.241 -0.523 0.601\n", - "Lag1 -0.0731 0.050 -1.457 0.145\n", - "Lag2 -0.0423 0.050 -0.845 0.399\n", - "Lag3 0.0111 0.050 0.222 0.824\n", - "Lag4 0.0094 0.050 0.187 0.851\n", - "Lag5 0.0103 0.050 0.208 0.835\n", - "Volume 0.1354 0.158 0.855 0.393\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.507 0.241 0.327 602\n", - " Up 0.526 0.782 0.629 648\n", - "\n", - "avg / total 0.517 0.522 0.483 1250\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.240864 0.759136\n", - " False 0.217593 0.782407\n", - "\n" + "Optimization terminated successfully.\n", + " Current function value: 0.691034\n", + " Iterations 4\n" ] }, { "data": { - "image/png": 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Logit Regression Results
Dep. Variable: Direction No. Observations: 1250
Model: Logit Df Residuals: 1243
Method: MLE Df Model: 6
Date: Sat, 16 Oct 2021 Pseudo R-squ.: 0.002074
Time: 17:44:35 Log-Likelihood: -863.79
converged: True LL-Null: -865.59
Covariance Type: nonrobust LLR p-value: 0.7319
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coef std err z P>|z| [0.025 0.975]
Intercept -0.1260 0.241 -0.523 0.601 -0.598 0.346
Lag1 -0.0731 0.050 -1.457 0.145 -0.171 0.025
Lag2 -0.0423 0.050 -0.845 0.398 -0.140 0.056
Lag3 0.0111 0.050 0.222 0.824 -0.087 0.109
Lag4 0.0094 0.050 0.187 0.851 -0.089 0.107
Lag5 0.0103 0.050 0.208 0.835 -0.087 0.107
Volume 0.1354 0.158 0.855 0.392 -0.175 0.446
" + ], "text/plain": [ - "
" + "\n", + "\"\"\"\n", + " Logit Regression Results \n", + "==============================================================================\n", + "Dep. Variable: Direction No. Observations: 1250\n", + "Model: Logit Df Residuals: 1243\n", + "Method: MLE Df Model: 6\n", + "Date: Sat, 16 Oct 2021 Pseudo R-squ.: 0.002074\n", + "Time: 17:44:35 Log-Likelihood: -863.79\n", + "converged: True LL-Null: -865.59\n", + "Covariance Type: nonrobust LLR p-value: 0.7319\n", + "==============================================================================\n", + " coef std err z P>|z| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept -0.1260 0.241 -0.523 0.601 -0.598 0.346\n", + "Lag1 -0.0731 0.050 -1.457 0.145 -0.171 0.025\n", + "Lag2 -0.0423 0.050 -0.845 0.398 -0.140 0.056\n", + "Lag3 0.0111 0.050 0.222 0.824 -0.087 0.109\n", + "Lag4 0.0094 0.050 0.187 0.851 -0.089 0.107\n", + "Lag5 0.0103 0.050 0.208 0.835 -0.087 0.107\n", + "Volume 0.1354 0.158 0.855 0.392 -0.175 0.446\n", + "==============================================================================\n", + "\"\"\"" ] }, + "execution_count": 10, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "logistic = skl_lm.LogisticRegression(C=1e10)\n", - "logistic.fit(X, y)\n", - "print_OLS_error_table(logistic, X, y)\n", - "print_classification_statistics(logistic, X, y, labels=[\"Down\", \"Up\"])\n", - "plot_ROC(logistic, X, y, label=\"Logistic Classification\")\n", - "\n", - "# same results as statsmodels\n", - "# smLogistic = sm.Logit(y, sm.add_constant(X)).fit()\n", - "# print(smLogistic.summary())" + "logistic = smf.logit(\"Direction ~ Lag1 + Lag2 + Lag3 + Lag4 + Lag5 + Volume\", df_stock.reset_index()).fit()\n", + "logistic.summary()" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 14, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.50708413, 0.48146788, 0.48113883, 0.51522236, 0.51078116,\n", + " 0.50695646, 0.49265087, 0.50922916, 0.51761353, 0.48883778])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "### Logistic regression, with test/train split" + "log_predictions = logistic.predict()\n", + "log_predictions[:10]" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 38, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No. Observations: 998\n", - "Df Residuals: 991\n", - "Df Model: 6\n", - "Log-Likelihood: -690.55\n", - "AIC: 1395.11\n", - " Coefficients Standard Errors t values p values\n", - "Intercept 0.1912 0.334 0.573 0.567\n", - "Lag1 -0.0542 0.052 -1.046 0.296\n", - "Lag2 -0.0458 0.052 -0.884 0.377\n", - "Lag3 0.0072 0.052 0.139 0.889\n", - "Lag4 0.0064 0.052 0.125 0.901\n", - "Lag5 -0.0042 0.051 -0.083 0.934\n", - "Volume -0.1162 0.240 -0.485 0.628\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.443 0.694 0.540 111\n", - " Up 0.564 0.312 0.402 141\n", - "\n", - "avg / total 0.511 0.480 0.463 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.693694 0.306306\n", - " False 0.687943 0.312057\n", - "\n" - ] - }, { "data": { - "image/png": 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" + " Real \n", + " Up Down Total\n", + "Predicted Up 507 457 964\n", + " Down 141 145 286\n", + " Total 648 602 1250" ] }, + "execution_count": 38, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "logistic_test = skl_lm.LogisticRegression(C=1e10)\n", - "logistic_test.fit(X_train, y_train)\n", - "print_OLS_error_table(logistic_test, X_train, y_train)\n", - "print_classification_statistics(logistic_test, X_test, y_test, labels=[\"Down\", \"Up\"])\n", - "plot_ROC(logistic_test, X_test, y_test, label=\"Logistic Classification Train/Test\")" + "y_pred = log_predictions > 0.5\n", + "y_pred_label = np.array([\"Up\" if y_i else \"Down\" for y_i in y_pred])\n", + "classification.get_confusion_matrix(\n", + " logistic, X, y.map({1: \"Up\", 0: \"Down\"}), labels=[\"Up\", \"Down\"], y_pred=y_pred_label\n", + ")" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 40, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.5216" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "## 4.6.3 Linear Discriminant Analysis (LDA)" + "(y == y_pred).mean()" ] }, { - "cell_type": "code", - "execution_count": 23, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# use only Lag1 and Lag2\n", - "X_train2 = X_train[[\"Lag1\", \"Lag2\"]]\n", - "X_test2 = X_test[[\"Lag1\", \"Lag2\"]]" + "#### sklearn" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 79, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Prior probabilities of groups: \n", - " Down Up\n", - " 0.491984 0.508016\n", - "\n", - "Group means: \n", - " Lag1 Lag2\n", - "Down 0.042790 0.033894\n", - "Up -0.039546 -0.031325\n", - "\n", - "Coefficients of linear discriminant: \n", - " LDA\n", - "Lag1 -0.642019\n", - "Lag2 -0.513529\n", + "No. Observations: 1250\n", + "Df Residuals: 1243\n", + "Df Model: 6\n", + "Log-Likelihood: -863.79\n", + "AIC: 1741.58\n", + " Coefficients Standard Errors t values p values\n", + "Intercept -0.1260 0.050 -2.512 0.012\n", + "Lag1 -0.0731 0.050 -1.459 0.145\n", + "Lag2 -0.0423 0.050 -0.847 0.397\n", + "Lag3 0.0111 0.050 0.222 0.824\n", + "Lag4 0.0094 0.050 0.189 0.850\n", + "Lag5 0.0103 0.158 0.065 0.948\n", + "Volume 0.1354 0.241 0.563 0.574\n", "\n" ] - } - ], + }, + { + "data": { + "text/html": [ + "
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wCcH4/WLgwkwHmdnRBHf81gdGufvN5ezXF5gIdHT3ORFjkhxTXrJXf75I7Yo69eKz4cOVQFcou3O3XGZWn2Cy9u5ACTDbzCa5+7yU/bYmqP0zq3KhS65JXLht17JYyV6kDmW6gas+cBJBjZ7n3f1DM+sJDAG2BPap4PBOwKfu/nl4rkeBPsC8lP2uA4YBg6v0CiTrJVr6mudWJDtkKsv8D+APwHbAXWb2MHAbcIu7V5T0IfiySC7lXBKuK2Nm+wKt3X1ypaKWnJKc9NV/L1L3MnX1dAD2cveNZtYY+Br4lbsvr+4Tm1k94A7gd9U9l2Sv5DLJaumLZIdMLf517r4RwN1/AD6vRNJfBLROWm4VrkvYGtgDeMXMvgC6AJPMrEPE80sWGz9rIf1GziybCUstfZHskanFv5uZvR8+LgJ+FS4XAaXuvlcFx84G2ppZG4KEfzJwSmKju68Efp5YNrNXgEs1qic/6A5ckeyVKfH/pqondvf1ZjYImEownHO0u39kZkOBOe4+qarnluym7h2R7JapSFu1CrO5+xRgSsq6a8rZ97DqPJfUvdQCa+reEclOUW/gEqnQ+FkLy/rz1b0jkt2U+KXakpP+jcfvqYQvkuUiJ34z2xL4hbt7jPFIDknt2lHSF8kNkRK/mfUiuHFrC6CNmbUHhrp77xhjkyylyVJEclvUFv+1BCUYXgFw93fDYZpSgDRUUyS3RS7L7O4rzSx5XWkM8UgWU80dkfwQNfF/ZGanAPXNrC3wJ+CN+MKSbJNu1I6I5Kaoif984CrgR2A8wU1Z18cVlGQPXcAVyT9RE/9u7n4VQfKXAqALuCL5K2riv93MWhDMkjXB3T+MMSapQ0r4Ivkv6gxcXcPEfxIw0syKCb4A1N2TJ5TwRQpH5Bu43P1rgslYpgGXAdegfv68oHILIoUl6g1cvwH6AX2B5cAEgonXJQ8kJkDXhVuRwhC1xT+aINkf5e5fxRiP1JHObbZV0hcpEFH7+HWnTp5Krp0vIoWhwsRvZo+5+0lm9gGb3qkbZQYuyUKJi7gJqp0vUngytfgvCP/uGXcgUjuSSy6ALuaKFKJMM3AtDh+e6+6XJ28zs2HA5ZsfJdlKUyKKCEC9iPt1T7PumJoMROKX6OJRt45IYcvUx38OcC6wi5m9n7Rpa2BGnIFJ9aT25QNlpZTVrSNS2DL18Y8HngNuAq5IWr/K3VfEFpVUWbo7cBPatSxWa19EMib+Unf/wszOS91gZtsq+WcX3YErIlFEafH3BOYSDOcsStpWCuwSU1xSBboDV0SiyDSqp2f4t6ZZzBHqwxeRTCKN6jGzA81sq/DxaWZ2h5kpu2SRxFBNEZFMog7nvA9YY2Z7ExRn+wx4KLaopNI0VFNEooqa+Ne7eynQBxjh7vcQDOmULJB8Y5a6eUQkk6jVOVeZ2ZXA6cDBZlYPaBhfWBJV8kgetfZFJIqoib8fcArwe3f/OuzfvzW+sKQiyTdnaRJ0EamsSF094exb44BmZtYT+MHdH4w1Mkkr0cJPvkFLSV9EKiPqDFwnEbTwXyEYy3+3mQ1294kZjjsaGA7UB0a5+80p2y8G/gCsB5YR/KJYUNkXUSiSu3WU7EWkqqJe3L0K6OjuZ7j7/wM6AX+u6AAzqw/cQ1DMrR3Q38zapez2DtAhrOs/EbilMsEXGt2gJSI1IWoffz13X5q0vJzMXxqdgE/d/XMAM3uUYFTQvMQO7j4taf83gdMixlOwNHJHRKorauJ/3symAo+Ey/2AKRmO2Qn4Mmm5BOhcwf4DCArCiYhIjKLOuTvYzE4ADgpX3e/uT9VUEGZ2GtABOLSmzikiIullqsffFrgN+BXwAXCpuy+q6Jgki4DWScutwnWpz9GN4BrCoe7+Y8RzFxxNii4iNSVTi3808CDwKtALuBs4IeK5ZwNtzawNQcI/meBegDJmtg8wEjg65RqChFLr6+smLRGprkyJf2t3fyB87Gb2dtQTu/t6MxsETCUYzjna3T8ys6HAHHefRDBEtCnwuJkBLHT33pV+FXko3YQqqq8vIjUhU+JvHLbKE3X4t0xedvcKvwjcfQopF4Hd/Zqkx90qHXEB0IQqIhKnTIl/MXBH0vLXSculwOFxBFXIdJOWiMQt00QsXWsrEAnoJi0RiVvUO3elFqi8sojUBiX+LKLJVESkNkS9c1dikFxeGWDe4u/U2heR2EWtzlkEnArs4u5Dw3r8Ldz9rVijy2OpI3cA2rUsVmtfRGIXtcV/L7CRYBTPUGAV8ATQMaa48lbq+HxdxBWR2ha1j7+zu58H/ADg7t8AW8QWVR575t1FZV06SvoiUheitvh/CuvrlwKY2fYEvwCkEpJH7Uw4e/+6DkdEClTUFv9dwFNAczO7AXgduDG2qPKQJkUXkWwRtSzzODObCxxBUK7hOHf/ONbI8ojuxhWRbBJ1VM8vgDXAv5LXufvCuALLB7qQKyLZKGof/2SC/v0ioDHQBnBg95jiynkqtCYi2SpqV8+eyctmti9wbiwR5QnV3BGRbFWlkg1hOeaK5s8taKq5IyLZLGof/8VJi/WAfYGvYokoD6jmjohks6h9/FsnPV5P0Of/RM2Hk9sSF3NVc0dEslnGxB/euLW1u19aC/HknORCa6nTJIqIZKMKE7+ZNQjnzj2wtgLKJakjdzR6R0RyQaYW/1sE/fnvmtkk4HFgdWKjuz8ZY2xZS+PzRSSXRe3jbwwsJ6jOmRjPXwrkfeJPrZkPm3fpKOmLSC7JlPibhyN6PuR/CT+hNLaoskBqqz5RMz/xWAlfRHJVpsRfH2jKpgk/Ia8Tf/LoHCV5EcknmRL/YncfWiuRZBGVTxaRfJbpzt10Lf28pxuwRCSfZWrxH1ErUdQxTXouIoWkwha/u6+orUDqSmIsfuIiLmjSc8lsn332qfY5PvjgA66//vpyt5eUlPCvf/0r8v4Ahx9+OL169aJXr16cdtppLFq0qML9a9MjjzzC008/XSPnWrp0KWefffYm62644QYOPvhgNm783+SAd999N//4xz822e/www9nxYrg//uyZcu46KKL6NatGyeccAJnnXUW8+fPr1Zs69at48ILL6R79+789re/paSkJO1+ic+qT58+nHDCCZttHz16NGZWFuu0adMYPnx4tWJLiDqcM2+piqbUlT333JM999yz3O2LFi3i2WefpVevXpH2Txg7dizbbrstd911F/fdd1/GL4tMSktLKS0tpV69KtV0LNO/f/9qHZ/sn//8J7/97W/Lljdu3MiLL75Iy5Yteeutt+jSpUvGc5SWljJo0CCOO+44/va3vwHwySefsHz5ctq0aVPl2B5//HGKi4t54YUXmDx5Mrfddht33nln2n0Tn1WqxYsXM2PGDHbccceydYcddhjDhw9n4MCBbLnlllWOD6pYnTMfjJ+1kH4jZ6pbR2rMxx9/zEknnUSvXr0477zzWLlyJQDvv/9+Wctu2LBh9OzZE4BZs2aVtVrfeust+vTpQ58+fTjuuOP4/vvvuf3225kzZw59+vRhzJgxm+y/evVqrrzyyrLW/dSpUzeLp3379ixZsgSAFStWcP7559O3b1/69u3L3Llzy9afeeaZHHvssVx11VV07dqVFStWUFJSwlFHHcVll11Gz549Wbx4MaNGjaJv37706tWLu+66C4A1a9YwcOBAevfuTc+ePZkyZQoAt912Gz169KBXr14MGzYM2LT1Xd57dfrpp3Prrbdy4oknctRRRzFnzpy07/W///1vDjnkkLLlWbNm8etf/5r+/fszefLkSJ/Xm2++SYMGDTb5Qtptt93o0KFDpOPL8/LLL3P88ccDcNRRRzFz5kxKSys3CPKmm25i8ODBFBX97zJrUVERnTp1Ytq0adWKDwqsxa+6OvnnibklPDbnyxo950kdWtN3v1aVPu6yyy7jz3/+M506dWL48OGMGDGCq666iiFDhnDdddexzz77cNttt6U9dvTo0VxzzTXst99+rF69mkaNGnHJJZcwevRoRo4cCQTJLeHee++ladOmZV1BicSZ7LXXXqNbt25A0A1yxhln0KFDB7766isGDBjAc889x4gRI+jSpQtnn302r776KhMnTiw7fsGCBQwbNoz27dvz+uuvs2DBAiZOnEhpaSnnnHMOs2fPZsWKFTRv3pz7778fgFWrVvHNN9/wwgsv8Pzzz1NUVMR3330X+b0C2LBhAxMnTmT69OmMGDGCMWPGbHLsl19+SbNmzdhiiy3K1k2ePJljjz2Wbt26cccdd/DTTz/RsGHDCj+v//u//2P33aPNJXXKKaewevXqzdZffvnlHHDAAZusW7JkCS1btgSgQYMGbL311nzzzTdpW/YDBgygqKiIfv360a9fPwBefPFFmjdvzm677bbZ/nvssQdz586lR48ekeIuT0El/sTY/HYtizU+X2rUqlWrWLVqFZ06dQLg+OOP54ILLuC7775j9erVZdcEevbsySuvvLLZ8fvuuy8333wzvXr14sgjj2Srrbaq8PlmzpzJHXfcUbbcrFmzssdnnHEG3377LU2aNOGCCy4A4I033uDTTz8t2+f7779n9erVzJ07lxEjRgBwyCGHbHKeHXfckfbt2wMwY8YMZsyYwXHHHQcELf0vvviCDh06MGzYMG699Va6du1Khw4dWL9+PY0aNWLIkCF07dqVww47LNJ7ldC9e3cAdt9997TXKJYtW8bPfvazsuV169Yxffp0rrjiCpo2bcree+/N66+/TteuXTdpMScrb315xo8fX6n9o3jkkUfYYYcdWL58OWeeeSa77LILe+yxByNHjmT06NFpj9luu+1YunRptZ871sRvZkcDwwluBBvl7jenbG8EPAjsR1ASop+7f1HTcSSXS27Xslhj8/NI3/1aVal1nm0GDhzIoYceyvTp0+nfvz+jRo2q8rnGjh1LcXExl156KXfffTdXXnklGzdu5LHHHqNRo0aRz9OkSZOyx6WlpQwcOJCTTz55s/2efPJJpk+fzp133kmXLl0YNGgQEydOZObMmTz//PM8/PDDPPjgg5GfN9GSr1evHhs2bNhse+PGjVm3bl3Z8uuvv86qVavo3bs3AGvXrqVRo0Z07dqVbbbZhmXLlm1y/OrVqykuLqZt27Zpu8jSqUyLf4cddmDx4sW0aNGC9evXs2rVqk2+qJL3gyCZd+/enffff5/i4mJKSkro06cPAF9//TUnnHACjz/+ONtvvz0//vhjpT7D8sTWxx+Wc74HOAZoB/Q3s3Ypuw0AvnH3XwN/A4bFEUty0le3jsRh6623pri4uKxP+plnnqFjx44UFxez1VZb8d577wGU9YGnWrhwIWbGwIED2XPPPZk/fz5bbbVV2mQDcMABBzBu3Liy5dSungYNGjBkyBCefvppvv32Ww466CAeeuihsu0ff/wxEPzSeO6554AggabrMgI46KCDeOKJJ8riWbJkCcuXL2fJkiVsueWW9OnThwEDBjBv3jxWr17NqlWrOPTQQxkyZAjuHum9imrnnXfe5JfA5MmTuf7663n55Zd5+eWXeemll3jjjTdYu3YtHTp04OWXX+b7778HgmsDZkb9+vXp0qUL69atY8KECWXn+uSTT9JeVxg/fjzPPPPMZn9Skz4Eo3WeeuopAKZOnUqXLl02+4WxZs2aspjWrFnDjBkzaNu2LWbGzJkzy15LixYtePLJJ9l+++0B+OKLL9h1110jv1flibPF3wn41N0/BzCzR4E+wLykffoA14aPJwIjzKzI3WukHESi/1ctfalpa9eu3eTi4plnnsmwYcP4y1/+wtq1a2ndujU33XQTEPSvX3311dSrV4+OHTvStGnTzc43duxYZs2aRVFREW3btuWQQw6hqKiIevXq0bt3b0444QR+85vflO1/zjnnMHToUHr27Em9evUYNGgQRx555CbnbN68OT179mTcuHFcddVVDB06lF69erFhwwY6dOjA0KFDGTRoEBdffDGTJk2iffv2bL/99jRt2pQ1a9Zscq6DDjqIzz77rKzF36RJE2699VYWLFjALbfcQr169WjQoAHXXnstq1ev5txzz+XHH38E4Iorrtjs9Zb3XkXRpEkTWrduzYIFC2jevDmvvfYaf/3rXzfZvt9++zFt2jR69OjBqaeeyimnnEJRURHbbbcdN9xwAxB094wYMYIbb7yRBx54gEaNGrHTTjsxZMiQyLGkc+KJJzJ48GC6d+9Os2bNykYMLVmyhKuvvpoHHniA5cuXc9555wHBNY2ePXtu8u+pPLNmzeLiiy/OuF8mRZW92hyVmZ0IHO3ufwiXTwc6u/ugpH0+DPcpCZc/C/f5b9I+OwPzX3rpJVq1qtxP+uQLf+rPl7qyevXqsj77+++/n6VLl3L11VfXcVSBdevWlSXtd955h2uvvZZnnnmmrsPK6IUXXuDDDz/koosuqutQas1///tfLrnkEsaOHZtx35KSEo444giANum6z/P64m6+9P9Kbps+fTojR45kw4YN7Ljjjtx8882ZD6olX331FRdeeCEbN26kYcOGXHfddXUdUiTdu3fn22+/reswatVXX32V9tdTVcSZ+BcBrZOWW4Xr0u1TYmYNgGYEF3lF8kaPHj2qPfwuLjvvvHON3U1b25Jv4CoEe+21V42dK87EPxtoa2ZtCBL8ycApKftMAs4AZgInAi/XVP++iIikF9uoHndfDwwCpgIfA4+5+0dmNtTMeoe7/QPYzsw+BS4GauZ3jIiIlCvWPn53nwJMSVl3TdLjH4DC+r0mIlLHCrZWj4hIoVLiFxEpMEr8IiIFJhfG8deHoGaFiIhklpQv66fbnguJvyXAqaeeWtdxiIjkmpbAZ6krcyHxzwYOBhYDm5fqExGRVPUJkv7sdBtjq9UjIiLZSRd3RUQKTC509USSLZO+1JYIr/di4A/AemAZ8Ht3X1DrgdagTK85ab++BGW+O7p7+klbc0SU12xmJxGUNy8F3nP31NIoOSXCv+1fAGOBbcJ9rghvFs1JZjYa6Aksdfc90mwvIng/egBrgN+5+9vVec68aPFn06QvtSHi630H6ODuexEkwVtqN8qaFfE1Y2ZbAxcAs1K35Zoor9nM2gJXAge6++7AhbUdZ02K+DlfTVACZh+CGmD31m6UNW4McHQF248B2oZ/BgL3VfcJ8yLxkzTpi7uvAxKTviTrQ9BKgCARHhF+k+aijK/X3ae5e2I2jTcJqqPmsiifMcB1BF/qP9RmcDGJ8prPAu5x928A3L36E7LWrSivuRQoDh83A76qxfhqnLu/CqyoYJc+wIPuXurubwLbmFnL6jxnviT+nYAvk5ZLwnVp9wkLyK0EtquV6GpelNebbADwXKwRxS/jazazfYHW7j65NgOLUZTPeVdgVzObYWZvht0kuSzKa74WOM3MSghqgZ1fO6HVmcr+f88oXxK/lMPMTgM6ALfWdSxxMrN6wB3AJXUdSy1rQNAFcBjQH3jAzLapy4BqQX9gjLu3Iuj3fij8/CWifHmzKjPpC3kw6UuU14uZdQOuAnq7+4+1FFtcMr3mrYE9gFfM7AugCzDJzDrUWoQ1L8rnXAJMcvef3H0+8B+CL4JcFeU1DwAeA3D3mUBj4Oe1El3diPT/vTLyZVRPoU36kvH1mtk+wEiCOY1zvd8XMrxmd19J0n9+M3sFuDTHR/VE+Xf9NEEL+J9m9nOCrp/PazPIGhblNS8EjgDGmNlvCBL/slqNsnZNAgaZ2aNAZ2Cluy+uzgnzosVfaJO+RHy9twJNgcfN7F0zm1RH4daIiK85r0R8zVOB5WY2D5gGDHb3XP0lG/U1XwKcZWbvAY8QDG/M1UYcZvYIQYPUzKzEzAaY2R/N7I/hLlMIvsw/BR4Azq3uc+rOXRGRApMXLX4REYlOiV9EpMAo8YuIFBglfhGRAqPELyJSYJT4RUQKjBJ/njKzDeH4/cSfnSvY9/saeL4xZjY/fK63zWz/KpxjVKISo5kNSdn2RnVjDM+TeF8+NLN/ZSpvYGbtzaxHFZ6npZk9Gz4+zMxWhs/7sZn9pQrn621mV4SPj0uuWBmOce9W2XOmeY4xZnZihn1eqczd0OFrfzbCfqPNbKmZfZiy/jYzOzzq80k0Svz5a627t0/680UtPOdgd29PcHPcyMoe7O5/cPd54eKQlG0HVD884H/vyx4EFRHPy7B/e4J6MJV1McHNNgmvhe9NB4ICY/tW5mTuPimpLv1xBCWLE9uucfcXqxBjNhlD+tLEd5PDN1tmq3wp2SAZmFlT4BngZ0BD4Gp3fyZln5bABIKStw2Ac9z9NTM7Evgr0Ihg4uYz3b2iXwmvAr8Oz3kx8Ptw/Sh3v9PMtiKotdKKYCKN69x9QqLMAkFJjS3N7F3gI3c/1cy+d/em4W3rDyUqcJrZGOBZ4CngZoJiZY0IShVn+vKZCewVnqcTwWQXjYG1wJnAfGBoGMtBwE3hc91NUBeoIXBt6vsY6ktQN34T7r7azOYCvzazjcDfgSYE7+vv3f0bM/sT8EeCSXTmufvJZvY7gi+N8UBv4FAzuzp8nj+HcX0PDHD334av6TCCshU9K/sZmtk1QC9gS+AN4Oyku2NPN7NRBP9Gfu/ub4WfaZT3JS13fzXdr1J3X2Bm25lZC3f/Our5pGJq8eevLZO6eZ4iqE9/vLvvC3QFbk8zH8EpwNSwZbo38G5Y/+VqoFt47ByC1mxFegEfmNl+BAm0M0HRtLPCGkJHA1+5+95hy/v55IPd/Qr+1zI/NeXcE4CTAMxsC4KaLZMJCnetdPeOQMfwudqUF6AFE34cQVAHBeAT4OBwco9rgBvDevDXABPCWCYQFL172d07EbyPt4ZJL/ncbQgm/dmsMJ6ZbRe+Fx8RzAh3eThZzgdAogvoCmCfcP0fk4939zfCmAeHMX2WtPlFoHNSPP2AR6v4GY5w947h57MlwQxRCU3CfyPnAqPDdVHelw7hF0ZlvQ0cWIXjpBxq8eevteF/TgDMrCFwo5kdAmwkqOe9A5DcipoNjA73fdrd3zWzQwm6FWaYGcAWBC3ldG4NW6HLCBLxEcBT7r46jOFJ4GCCRH+7mQ0DnnX31yrxup4DhlswlebRwKvuvjZs0e6V1EfdjKBK5fyU4xO/JHYiqAXzQtL+Yy2Y0aqUoNWazpFAbzO7NFxuDPwiPFdCSzYvGnawmb1D8N7fTFBVcxt3nx5uHws8Hj5+HxhnZk8TFGGLxN3Xm9nzQC8zmwgcC1wGVOYzTOhqZpcR/BrZluCL6l/htkfC53vVzIrD6yTlvS/J8c0hmA60spYCO1bhOCmHEn/hOBXYHtjP3X+yoHRx4+Qdwv/IhxAkjDFmdgfwDfCCu/eP8ByD3X1iYsHMjki3k7v/J+zj7gFcb2YvufvQKC/C3X8Iu4SOImzRhpuKgPPdfWqGU6x19/Zm1oSgENh5wF0EM3dNc/fjwy6HV8o5vgjo6+5e0XOQ8t4S9PGXtZrNrFkFxx8LHELwy+kqM9uzgn1TPUpQ5GwFMMfdV4W/7KJ+hphZY4LpDDu4+5dmdi2bvp7UAl+llPO+mNkOlYi9PInuN6kh6uopHM0IJnP+ycy6Ar9M3cHMfgkscfcHgFHAvgTTNh5oZok++63MbNeIz/kacJyZNQl/9h8PvGZmOwJr3P1hgiqi6S50/hT+8khnAkEXUuLXAwRJ/JzEMWa2a2pXQzIPpqX8E3CJ/W9+hkSN898l7bqKoNZ/wlTg/EQ3Wdh1leo/wM7lPXf4/CuBb8zs4HDV6cB0CyYUae3u04DLw7iaphyeGlOy6QTv51n870uxsp9hIsn/N7w2lDrSp194noMIutdWEu19qapdgQ8z7iWRKfEXjnFABzP7APh/BH3aqQ4D3gu7JPoBw919GUEifMTM3ifoItgtyhO6+9sEozXeIpj8fJS7vwPsCbwVdrn8Bbg+zeH3A++b2bg02/5N0H3xYtgPD8EX1Tzg7XBI4Egy/KINY3mfoJ79LcBN4WtPPm4a0C68VtKP4JdBwzC2j8Ll1POuBj5LJNoKnEHQPfY+weihoQQXux8OP6d3gLvc/duU4x4FBpvZO2b2q5Tn3kBwofeY8G8q+xmGz/cAQbKdStAFmOyH8H36O0GXHkR4Xyrq47c0pYnD9Q0JBgrk8rwKWUdlmUViYGbHE3SrbTayR6IL38d93f3PdR1LPlGLXyQG7v4U8EVdx5EHGgC313UQ+UYtfhGRAqMWv4hIgVHiFxEpMEr8IiIFRolfRKTAKPGLiBSY/w/Oc8Ep7EkcCgAAAABJRU5ErkJggg==\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "logistic = LogisticRegression(C=np.inf)\n", + "logistic.fit(X, y)\n", + "classification.print_OLS_error_table(logistic, X, y)\n", + "display(classification.get_confusion_matrix(logistic, X, y))\n", + "RocCurveDisplay.from_estimator(logistic, X, y);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### test/train split" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], "source": [ - "lda = LinearDiscriminantAnalysis()\n", - "lda.fit(X_train2, y_train)\n", + "X_train = X[:\"2004\"]\n", + "y_train = y[:\"2004\"]\n", + "X_test = X[\"2005\":]\n", + "y_test = y[\"2005\":]" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No. Observations: 998\n", + "Df Residuals: 991\n", + "Df Model: 6\n", + "Log-Likelihood: -690.55\n", + "AIC: 1395.11\n", + " Coefficients Standard Errors t values p values\n", + "Intercept 0.1912 0.052 3.692 0.000\n", + "Lag1 -0.0542 0.052 -1.046 0.296\n", + "Lag2 -0.0458 0.052 -0.887 0.375\n", + "Lag3 0.0072 0.052 0.139 0.889\n", + "Lag4 0.0064 0.051 0.126 0.900\n", + "Lag5 -0.0042 0.240 -0.018 0.986\n", + "Volume -0.1163 0.334 -0.348 0.728\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "display(classification.get_confusion_matrix(lda, X_test_restricted, y_test))\n", + "RocCurveDisplay.from_estimator(lda, X_test_restricted, y_test);" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "importlib.reload(classification)" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "name": "stderr", "output_type": "stream", "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.500 0.315 0.387 111\n", - " Up 0.582 0.752 0.656 141\n", - "\n", - "avg / total 0.546 0.560 0.538 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.315315 0.684685\n", - " False 0.248227 0.751773\n", - "\n" + "/home/pedvide/ISLR_Python/.venv/lib/python3.9/site-packages/sklearn/base.py:441: UserWarning: X does not have valid feature names, but LinearDiscriminantAnalysis was fitted with feature names\n", + " warnings.warn(\n" ] }, { "data": { - "image/png": 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\n", 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" + "" ] }, + "execution_count": 109, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "print_classification_statistics(lda, X_test2, y_test, labels=[\"Down\", \"Up\"])\n", - "plot_ROC(lda, X_test2, y_test, label=\"LDA Train/Test, only Lag1 and Lag2\")\n", - "plot_classification(lda, X_test2, y_test)" + "classification.plot_classification(lda, X_test_restricted, y_test)" ] }, { diff --git a/classification.py b/classification.py index 5ea6668..6f8ccbb 100644 --- a/classification.py +++ b/classification.py @@ -34,11 +34,11 @@ def print_OLS_error_table(model, X_train, y_train): if isinstance(X_train, pd.DataFrame): X_cols = X_train.columns - X_train = X_train.values else: X_cols = [f"Feature {num}" for num in range(1, len(X_train))] - newX = pd.DataFrame({"Constant": np.ones(len(X_train))}).join(pd.DataFrame(X_train)) + newX = X_train.copy() + newX["Constant"] = np.ones(len(X_train)) if isinstance(model, skl_lm.LinearRegression): # for linear regression: @@ -87,7 +87,6 @@ def plot_classification(model, X_test, y_test): if isinstance(X_test, pd.DataFrame): X_cols = X_test.columns - X_test = X_test.values else: X_cols = ["", ""] @@ -95,7 +94,7 @@ def plot_classification(model, X_test, y_test): y_test = y_test.values # Data - ax.scatter(X_test[:, 0], X_test[:, 1], c=y_test, cmap=plt.cm.coolwarm, s=20, edgecolors="k") + ax.scatter(X_test.values[:, 0], X_test.values[:, 1], c=y_test, cmap=plt.cm.coolwarm, s=20, edgecolors="k") ax.set_xlabel(X_cols[0]) ax.set_ylabel(X_cols[1]) From a67232f99a343088fb986a884be177ad009e7cb1 Mon Sep 17 00:00:00 2001 From: Pedro Villanueva Date: Sun, 17 Oct 2021 16:54:28 +0200 Subject: [PATCH 32/32] finish chapter 4 --- 04_Classification.ipynb | 3449 ++++++++++++++++++++++++++++++--------- classification.py | 7 +- 2 files changed, 2655 insertions(+), 801 deletions(-) diff --git a/04_Classification.ipynb b/04_Classification.ipynb index 45784ab..6db5d88 100644 --- a/04_Classification.ipynb +++ b/04_Classification.ipynb @@ -20,6 +20,7 @@ "import seaborn as sns\n", "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf\n", + "from IPython.display import display\n", "from pandas.api.types import CategoricalDtype\n", "from scipy import interpolate, stats\n", "from sklearn import neighbors, preprocessing\n", @@ -150,7 +151,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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" ] @@ -643,7 +644,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "The Bayes error rate is 10.76%, the LDA error rate is 10.75%\n" + "The Bayes error rate is 10.46%, the LDA error rate is 10.45%\n" ] } ], @@ -895,13 +896,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Bayes accuracy: 95.0%, 100.0%, 85.0%\n", - "LDA accuracy: 95.0%, 95.0%, 85.0%\n" + "Bayes accuracy: 100.0%, 70.0%, 75.0%\n", + "LDA accuracy: 90.0%, 90.0%, 75.0%\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1186,16 +1187,16 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 33, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, @@ -1330,7 +1331,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -1343,7 +1344,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -1355,7 +1356,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -1372,7 +1373,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -1442,22 +1443,22 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Bayes accuracy: 89.0 83.0\n", - "QDA accuracy: 88.0 80.0\n", - "Bayes accuracy: 92.0 97.0\n", - "QDA accuracy: 92.0 99.0\n" + "Bayes accuracy: 90.0 88.0\n", + "QDA accuracy: 90.0 88.0\n", + "Bayes accuracy: 88.0 94.0\n", + "QDA accuracy: 89.0 92.0\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1483,7 +1484,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -1507,12 +1508,12 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 39, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1548,7 +1549,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1567,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -1584,7 +1585,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -1595,7 +1596,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1614,7 +1615,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -1626,7 +1627,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1693,7 +1694,7 @@ " Total 9667 333 10000" ] }, - "execution_count": 52, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -1704,7 +1705,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1771,7 +1772,7 @@ " Total 9667 333 10000" ] }, - "execution_count": 53, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1798,7 +1799,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -1869,27 +1870,29 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 57, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1904,7 +1907,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -1921,7 +1924,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1963,17 +1966,19 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { - "image/png": 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71dTUJLfbbXQoAL6ABCEAAAAAAIgqn8+nmpoahUIhVVdXU0UIxBgShAAAAAAAIKrcbreCwaAkKRgMUkUIxBgShAAAAAAAIKoaGhrk9/slSX6/X/X19QZHBODzSBACAAAAQIzYsWOH8vLylJubq40bN/Z4/9FHH5XT6VRhYaFmz56tlpYWSdK+ffs0adIkFRYWqrCwUOXl5UMdOnBcTqdTycnJkqTk5GTNmDHD4IgAfJ7N6AAAAAAAAFIgENCyZctUUVEhh8OhmTNnKicnR+PGjQtv43Q6NXv2bElSY2OjVq5cqfvvv1+SNHbsWNXV1RkSO3AiLpdLNTU1kiSr1SqXy2VwRAA+jwpCAAAAAIgBzc3NysjIUHp6ulJSUlRQUKDGxsaIbUaMGBF+/cknn8hisQx1mEC/2O12FRcXy2KxqKSkRKNHjzY6JACfQwUhAAAAAMQAr9ertLS08LLD4VBzc3OP7bZs2aKKigr5/X499NBD4fX79u1TUVGRRowYoZtuukmTJ08ekriBk+VyudTS0kL1IBCDqCAEAAAAgDgyZ84cbd++XYsWLdL69esldVdnPf/886qtrdUvf/lLlZWV6fDhwwZHCkSy2+2qrKw0bfWgz+fT3Llz1dHRYXQoQA9UEAIAAABADHA4HGpvbw8ve71eORyOY25fUFCgpUuXSpJSUlKUkpIiSZo4caLGjh2rd955R1lZWVGJtba2VtXV1X3ap7OzU5KUmprap/1KSkpUVFTUp32AWOR2u9XU1CS3260lS5YYHQ4QgQpCAAAAAIgBWVlZam1tVVtbm44cOSKPx6OcnJyIbVpbW8OvX3jhBWVkZEiSDhw4oEAgIElqa2tTa2ur0tPThyz2k9HR0UHlFEzL5/OppqZGoVBI1dXV/C4g5lBBCAAAAAAxwGazqby8XKWlpQoEAiopKVFmZqbWrVuniRMnasqUKaqsrNRLL70km82m0047TatWrZIkvfrqq/rd734nm80mq9Wq22+/XSNHjoxarEVFRX2u6ps3b54kafPmzVGICPHA5/Np4cKFWrt2rem6GbvdbgWDQUlSMBikihAxhwQhAAAAAMSI7OxsZWdnR6xbsGBB+PVtt93W6355eXnKy8uLamzAQK1Zs0avvvqq1qxZozvvvNPocIZUQ0OD/H6/JMnv96u+vp4EYQxZvny59uzZE9VzvPnmm5L+72FJNI0fP1633nprn/YhQQgAAAAAAKLK5/OpoaFBklRfX6+ysjJTVRE6nU5VVVXJ7/crOTlZM2bMMDokfM6ePXv0xiuv6NxQKGrnGPmvfz99+eWonUOS9los/dqPBCEAAAAAAIiqNWvWhMfJDAQCpqsidLlcqqmpkSRZrVa5XC6DI8IXnRsKaXVXl9FhDNhiW/9SfUxSAgAAAAAAomrr1q3HXU50drtdxcXFslgsKikpMVX1JOIDFYQAAAAAAGBIhaLYlTNWuVwutbS0UD2ImEQFIQCgVz6fT3PnzlVHR4fRoQAAAMQ9s3+3mj59esSy0+k0KBLj2O12VVZWUj2ImESCEADQK7fbraamJrndbqNDAQAAiHtm/25VVlYmq7U7BWG1WlVWVmZwRAA+jwQhAKAHn8+n6upqhUIhVVdXm/ZJNwAAwGDw+Xyqqakx9Xcru90enrm3sLCQKjogxpAgBAD04Ha71fWvGbz8fn/cPOnesWOH8vLylJubq40bN/Z4v6KiQvn5+XI6nbr66qu1f/9+SdKbb76pq666SgUFBXI6nXr66afD+/zyl79UTk6OCgsLVVhYqDfffHPIrgcAACQGt9utYDAoSQoGg3Hz3WqwlZWV6d/+7d+oHgRiEAlCAEAPdXV1EV9ia2trjQ3oJAQCAS1btkybNm2Sx+PR1q1b1dLSErHNhAkTVF1drYaGBuXl5Wn16tWSpGHDhmnVqlXyeDzatGmTVqxYoQ8//DC8380336y6ujrV1dVpwoQJQ3pdAAAg/jU0NMjv90vqfvhaX19vcETGYAw+IHaRIAQA9HDmmWdGLJ911lkGRXLympublZGRofT0dKWkpKigoECNjY0R21x00UUaPny4JOn8889Xe3u7JOmcc87RV7/6VUmSw+HQV77yFR04cGBI4wcAAInL6XQqOTlZkpScnBzuagsAsYIEIQCgh/feey9i+WhX3Fjm9XqVlpYWXnY4HPJ6vcfcvqqqSpdddlmP9c3NzfL7/Ro7dmx43dq1a+V0OrVixQodOXJkcAMHAAAJz+VyRUzQ4XK5DI4IACLZjA6gPzo7O2V5zyvbfYuNDmXALO/tVaccRocB4At8Pp8WLlyotWvXmrILRGFhoR577DGFQiFZLBYVFRUZHdKgqqur065du1RZWRmx3ufzafHixVq1alX4S/zChQs1evRo+f1+/frXv9bGjRt14403ntR5Eqm9kmizELvM/jcbQOyz2+0qLi7WY489ppKSEv5WAYg5VBACQC/cbreamppMO4C0y+WK6AYTD0+5HQ5HuMuw1F1R6HD0TGb95S9/0YYNG7R+/XqlpKSE1x8+fFjXX3+9/uM//kPnn39+eL3dbpfFYlFKSoqKi4v1+uuvR/U6APSd2f9mA4gPLpdLkydPjovvVQDMJy4rCFNTU9WiEeq6frXRoQyY7b7FSk0dZnQYAD7H5/OppqZGoVBI1dXVcrlcpnvKa7fbVVJSoscee0wzZ86Mi+vPyspSa2ur2tra5HA45PF4tGbNmohtdu/erfLycm3atElnnHFGeP2RI0f005/+VIWFhfr3f//3iH18Pp/sdrtCoZC2b9+uzMzMk44pkdoriTYLsYm/2QDixdEJOgAgFlFBCABf4Ha7I2bwNWtFSrw95bbZbCovL1dpaany8/M1bdo0ZWZmat26deHJSu666y59/PHHWrBggQoLC3XDDTdIkp555hk1NTXpqaeeUmFhoQoLC/Xmm29KkhYtWiSn0ymn06kPPvhA8+fPN+waAfTE32wAAICBi8sKQgCIpoaGBvn9fkmS3+9XfX29lixZYnBUQy8en3JnZ2crOzs7Yt2CBQvCrx988MFe9zuaFOzNww8/PGjxARh8/M0GAAAYOCoIAeALnE5nxPh7M2bMMDgiAMCx8DcbAABg4EgQAsAXuFyu8Ay2Vqs1brrYAoAZ8TcbQLzw+XyaO3euOjo6jA4FAHogQQgAX2C321VcXCyLxaKSkhIGuweAGMbfbADxghnXAcQyEoQA0It4m6ADAMyMv9kAYt0XZ1ynihBArCFBCAAAgLh2dFIlqgcBxCpmXIdEN3PENhKEANALuoAAAABgsPQ24zrMh3sMxDIShADwBXQBAQAAwGBixnVwj4FYR4IQAL6ALiAAAAAYTMy4Du4xEOtIEALAF9AFBAAAAIOJGdfBPQZiHQlCAPgCuoAAAABgsF155ZX68pe/rKuuusroUGAAp9Mpi8UiSbJYLNxjIOaQIASAL6ALCAAAAAbbE088oY8++kiPP/640aHAAFdeeaVCoZAkKRQKkShGzLEZHQAAxJqjXUAee+wxuoAAAABTWL58ufbs2RPVc7z55puSpHnz5kX1PJI0fvx43XrrrVE/z8n64gQVLpeL75gm88QTT8hqtSoYDMpqterxxx/XkiVLjA4LCCNBCAC9cLlcamlpoXoQAACYwp49e/RK8xsKnXlu9E4ybKQk6eXOT6N3DkmW9/ZG9fj90dsEFSSHzKWhoSHi/0B9fT3/BxBTSBACQC/sdrsqKyuNDgMAAJyAz+fTwoULtXbtWiqyBih05rnqun610WEMmO2+xUaH0ENvE1SQHDIXp9Opqqoq+f1+xjlHTCJBGIeGovxfGrouALFW/g8AAID44Xa71dTUREUWYhrJIbhcLtXU1EhinHPEJhKEcWhIyv+lIekCEIvl/wAAAIgPjOuGeOFyufTEE09I6u5eSnLIfBjnHLGOBGGcovwfAAAAZse4bognn5/BFubEOOeIZVajAwAAAACA/uhtXDcgFrndblmt3bffVqtVbrfb4IhghKPjnFM9iFhEghAAAABAXHI6nUpOTpYkxnVDTGtoaFBXV5ckqauri2Q2gJhDghAAAABAXHK5XBFVWXTbQ6wimQ0g1pEgBAAAABCX7Ha7pk2bJknKz8+n2x5ilsvlihgvk2Q2gFjDJCUAAAAAAEQZk5Qg1v33u636yYqlUTt+56GDkqTU00dG7RxS93VMmDgxqudIRCQIAQAAAMQln8+nZ555RpL09NNPq6ysjCpCxKSjk5QEg8HwJCVmnHHb5/Np4cKFWrt2Lb+rMWb8+PFRP8c/97dJkuzpZ0f1PBMmThyS60k0JAgBAAAAxCW32x3RbdOsSRfEvt4mKTHj/1W3262mpiZ+V2PQrbfeGvVzzJs3T5K0efPmqJ8LfccYhAAAAADiUkNDg/x+vyTJ7/czMyxiFpOUdFcP1tTUKBQKqbq6Wh0dHUaHBOBzSBACAHrl8/k0d+5cvrwBAGJWIiZdduzYoby8POXm5mrjxo093n/00UfldDpVWFio2bNnq6WlJfzefffdp9zcXOXl5Wnnzp1DGTZOgBm3e6/4BRA76GIMAOgVXUAGh+W9vbLdtzi6J/nfD7r/PXVUVE9jeW+vlPqtqJ4DAPrC5XKppqZGUmIkXQKBgJYtW6aKigo5HA7NnDlTOTk5GjduXHgbp9Op2bNnS5IaGxu1cuVK3X///WppaZHH45HH45HX69U111yjbdu2KSkpyajLwefY7XYVFxfrscceU0lJiSnH3+ut4pfvmEDsIEEIAOjhi11AXC6XKb/IDtRQDY78ZsdBSdKEc8ZE90Sp3+rTNS1fvlx79uyJYkDd3nzzTUn/N65NNI0fP35IxugBcHISLenS3NysjIwMpaenS5IKCgrU2NgYkSAcMWJE+PUnn3wii8UiqTtZWFBQoJSUFKWnpysjI0PNzc264IILhvYicEwul0stLS1xn8juL6fTqaqqKvn9/oSp+AUSyYAShDt27NDy5csVDAY1a9YsXXfddRHvP/roo3rkkUdktVp1yimn6I477gg3bvfdd5+qqqpktVp122236Xvf+95AQgEADCIGfR8cQ5VIitUBn/fs2aNXmt9Q6Mxzo3uiYSMlSS93fhrV01je2xvV4wPon0RKuni9XqWlpYWXHQ6Hmpube2y3ZcsWVVRUyO/366GHHgrve95550Xs6/V6ox80TprdbldlZaXRYRgm0Sp+gUTT7wSh0eXvUe+yRXctACZGFxAMltCZ56rr+tVGhzEoot5VHEC/mDHpMmfOHM2ZM0cNDQ1av369Vq1aZXRIwAklWsUvkGj6nSA0svx9KLpsxWp3LQAYCnQBARBPfD6fFi5cqLVr13LDibjmcDjU3t4eXvZ6vXI4HMfcvqCgQEuXLu3Xvl/U2dkpy3vehHgYYnlvrzp18teOoZNIFb9Aoul3gtDI8veh6LIVq921AGAouFwuVVdXS6ILCIDYx6RKSBRZWVlqbW1VW1ubHA6HPB6P1qxZE7FNa2urvvrVr0qSXnjhBWVkZEiScnJyVFZWpmuuuUZer1etra2aNGnSUF8CcFxmrPgF4kXUJymh/B0A4o/dbtfYsWPV0tKisWPHUpEDIGbF8qRKTNQzNBKpgtRms6m8vFylpaUKBAIqKSlRZmam1q1bp4kTJ2rKlCmqrKzUSy+9JJvNptNOOy18f5WZmalp06YpPz9fSUlJKi8v79MQTqmpqWrRiIQYFsJ232Klpg4zOgwAiCv9ThAaWf4ODIVE+rKJvjP7z9/n8+ndd9+VJP3jH/9QR0eHKT8HALEvlidV2rNnj97ctUvfGPvVqJ7njBGnSpKCHx6O6nn++93WqB6/vxKtgjQ7O1vZ2dkR6xYsWBB+fdtttx1z3/nz52v+/PlRiw0AkLj6nSCk/B2JLtG+bKJvzP7zd7vdCoVCkqRQKGTazwFA7Iv1SZW+Mfaruv+WpUaHMSh+smKp0SH0EMsVpMAXmf0BNIDYZu3vjp8vf8/Pz9e0adPC5e+NjY2SpMrKShUUFKiwsFAVFRW9lr+Xlpb2ufwdiLYvftns6OgwOiQMIX7+vd9wA0AscjqdSk5OliQmVTIht9utQCAgSQoEAnK73QZHBBzb5x9Am5XP59PcuXNN+f0aiHX9ThBK3eXv27Zt0/bt28Ol7AsWLNCUKVMkdZe/ezwe1dXVafPmzcrMzAzvO3/+fG3fvl3btm3rUUIPGK237kpmY+bGm59//N5w79ixQ3l5ecrNzdXGjRt7vF9RUaH8/Hw5nU5dffXV2r9/f/i9p556Spdffrkuv/xyPfXUU+H1u3btktPpVG5urv7zP/8zXFkJIDa4XC5ZLBZJTKpkRg0NDerq6pIkdXV18UALMYsH0N1IkgKxa0AJQiBRUT1l7sabn3/3DbfV2t1ExMsNdyAQ0LJly7Rp0yZ5PB5t3bpVLS0tEdtMmDBB1dXVamhoUF5enlav7h6I/eDBg7r33nv1xBNP6Mknn9S9996rQ4cOSZKWLl2qO+64Q3/84x/V2tqqHTt2DPm1ATi2o5MqSWJSJROaOnVqxHJubq5BkQDHxwNokqRArCNBCPQiXqunBovZG2+z//yl7hvu4uJiWSwWlZSUxMUNd3NzszIyMpSenq6UlBQVFBSEh7w46qKLLtLw4cMlSeeff354wqwXX3xRl1xyiUaOHKnTTz9dl1xyiXbu3Cmfz6fDhw/r/PPPl8ViUVFRUY9jAjBWb5MqAUCs4QE0SVIg1vV7khIgkblcLtXU1EiKn+qpwRTLM0IOhUT8+dfW1qq6urpP+7S3t+tLX/qSdu/erXnz5p30fiUlJSoqKupjhAPn9XqVlpYWXnY4HGpubj7m9lVVVbrsssuOua/X6+2xPi0tTV6vNwrRA+gvJlUyt+3bt0csP/vss7rzzjsNigY4NqfTqaqqKvn9ftM+gI71SaUAs6OCEOhFPFZPDSazP+E0+8//qA8++EDJyclKSUkxOpRBV1dXp127dqm0tNToUAAMkNnbLLOj6h/xIh6HbxlsTqcz4jPg9xWILVQQAsfgcrnU0tJi2sbb7E84E+3nX1RU1OeqvqNVg5s3b45CRIPP4XCEuwxL3VWBDoejx3Z/+ctftGHDBlVWVoaTnw6HQ3/9618j9r3wwgt7HLO9vb3XYwIwDm2WuSVi1T8S09EH0I899phpH0BfeeWVevTRRyV191K66qqrDI4IwOdRQQgcg91uV2VlpSkbb55wmvvnH6+ysrLU2tqqtrY2HTlyRB6PRzk5ORHb7N69W+Xl5Vq/fr3OOOOM8PpLL71UL774og4dOqRDhw7pxRdf1KWXXiq73a4RI0bo73//u0KhkGprazVlypShvjQAx0GbZW5U/SOeuFwuTZ482bR/p5544onwrPMWi0WPP/64wREB+DwShAB64Ms24pHNZlN5eblKS0uVn5+vadOmKTMzU+vWrQtPLHLXXXfp448/1oIFC1RYWKgbbrhBkjRy5Ei5XC7NnDlTM2fO1E9/+lONHDlSkrRkyRLddtttys3N1dixY8PjFgKIDbRZMHvSBfHD7A+gGxoaIsaMNeOQED6fT3PnzmVCLcQkuhgD6FWidbHt6yQdnZ2dkqTU1NQ+nceoCTrQLTs7W9nZ2RHrFixYEH794IMPHnPfo8nBL8rKytLWrVsHLUYAgy/R2iz0zdGkC4DYxpAQ3RNrNTU1MaEWYhIVhAB6ZfYnnB0dHTzZA4A4YfY2y+yoyAHig9mHhPD5fKqpqVEoFFJ1dTV/sxBzqCAEYAp9naQj3iboAADArKjIgVHoodI3Zp+oxe12KxgMSuqepIW/WYg1VBACAAAAiEtU5CCe0EOleybjL3/5y6acwbihoUF+v1+S5Pf7TTkGI2IbFYQAAACIaz6fTwsXLtTatWtNV5Fidm63W4FAQJIUCASoyBkgy3t7ZbtvcfRO8L8fdP976qjonUPd16HUb0X1HBI9VPrjiSee0EcffaTHH3/cdL+rjMGIWEeCEAAAAHGNLqbm1dDQoK6uLklSV1eX6uvr+T/QT+PHj4/6Od7sOChJmnDOmOieKPVbQ3I96JsvVvy6XC5TPdRxuVzhLulmHIMRsY8EIQAAAOKW2W84zW7q1Kmqra0NL+fm5hoXTJy79dZbo34OKujMzexj8Nntdo0dO1YtLS0aO3YsbRViDmMQAgAAxDGzz+Da2w0nzOPTTz897jKA2GH2Mfh8Pp/effddSdI//vEP07bbiF0kCIFjMPsNl9mvHwDixee715qR2W84zW779u3HXQYQO5xOp5KTkyXJlGPwud1uhUIhSVIoFDJtu43YRYIQOAaz33CZ/foBIB4wgys3nIh09OYbQOxxuVyyWrtTEGYcg48HWoh1JAiBXpj9hsvs1w8A8YLutdxwmt306dMjlp1Op0GRADgRu92u4uJiWSwWlZSUmG4MPh5oIdaRIAR6YfYbLrNfPwDEC6oRum84p02bJknKz8833Q2n2ZWVlUUkiMvKygyOCMDxuFwuTZ482ZQPc3ighVjHLMZAL3q74TLTDFtmv34AiBdOp1NVVVXy+/1UI8CU7Ha7ZsyYodraWhUWFpIgBoZQbW2tqqur+7RPZ2enJGnhwoV92q+kpERFRUV92ifWHK2gfOyxx0xZQYnYR4IwDnV2dsrynle2+xYbHcqAWd7bq045jA6jB7PfcJn9+gEgXrhcLtXU1EgybzWCz+fTM888I0l6+umnVVZWxk2XyZSVlWn//v1UDwJx4OjQRampqQZHYgyXy6WWlhZTttexrrOzU16LRYtt8Z8m22uxyPGvZHxfxP+VA1Fg9hsus18/gMGRSA+0pNh8qEU1Qu/DYlD1bi52u12VlZVGhwGYTlFRUZ+r+ubNmydJ2rx5cxQiin38vUIsI0EYh1JTU9WiEeq6frXRoQyY7b7FSk0dZnQYPZj9hsvs1w8A8cTs1QgMiwEAAAYqNTVVI1patLqry+hQBmyxzaZh/ajSJUEIHIPZb7jMfv0ABi6RHmhJsf1Qy8zVCE6nU08++aS6urpks9kYFgMAELN8Pp8WLlyotWvXUoSBmEOCEDgGs99wmf36AQDxweVy6fHHH5fU3cWYB1vxbSCTHvR1TLNEmPQAQHxxu91qampiOAzEJKvRAQCxyufzae7cueGBdAEAQGwKhUIR/8JcOjo6+L4GIOb5fD7V1NQoFAqpurqav1uIOVQQAsfA0x0AQDwwe3elNWvWRCQI16xZozvvvNPgqNBfTHoAIFExqRZiHRWEQC94ugMAiBeff6BlRlu3bj3uMgAAsaC3SbWAWEIFIdALnu4AAOLBFx9ouVwuU1YRfl4sdTPu7OyU7/12/WTFUqNDGRR7/tEq+5g0o8MAgLjEpFqIdVQQAr3g6Q4AIB709kDLbKZPnx6x7HQ6DYoEAIBjc7lcEW02k2oh1lBBCPTC6XSqqqpKfr9fycnJPN0BAMSk3h5oma3ivaysTPX19QoGg7JarSorKzM6pLDU1FR9JWWY7r9lqdGhDIqfrFgq62kjjA4DAOKWxWKJ+BeIJSQIYQq1tbWqrq4+6e2PHDmirq4uSVJXV5d2794dHgD7REpKSvo8uDYAAP3BAy3JbrdrxowZqq2tVWFhoem7WAMAYpPb7Y5IEDKMFWINXYyBXqSkpMhm686fjx49WikpKQZHBABAT1/snmTW7kplZWX6t3/7t5iqHgQA4PMaGhoiilAYxgqxxjQVhH2tIHvzzTcl6aSrxo6ieiw2FRUV9fnnctVVV2nv3r2qqamJ+2qEvv7/l7oHVpe6u0f1Bb8DADB07Ha7hg8fLr/fr1NOOSXu26v+stvtqqysNDoMAACOaerUqaqtrQ0v5+bmGhcM0AsqCI9h9OjRpv2SjW4pKSmaMGGCaf8fdHR0qKOjw+gwAADHsXv3bn344YeSpEOHDmnPnj0GRwQAAIB4ZJoKwv5UkAGJoj///49Wz27evDkKEQEABsPixYsjlhctWqStW7caFA0AADiW7du3Ryw/++yzuvPOOw2KBujJNAlCAACARNPS0hKx/PbbbxsUCQCz6c8QNgzjBDNzOp168skn1dXVJZvNZsqJxRDb6GIMAAAQp8aNGxexnJmZaVAkAHBiDOMEM3O5XEpKSpIkJSUlmXZiMcQuKggBAADi1K9+9Sv95Cc/CS/feuutBkYDYDDs2LFDy5cvVzAY1KxZs3TddddFvF9RUaEnn3xSSUlJ+spXvqIVK1borLPOkiRNmDBBX//61yVJY8aM0YYNG6IWJ0M4AX1jt9tVXFysxx57TCUlJSTLEXNIEAIAAMSpL45n9Mc//lEXX3yxQdEAGKhAIKBly5apoqJCDodDM2fOVE5OTkS18IQJE1RdXa3hw4frkUce0erVq/Xb3/5WkjRs2DDV1dUZFD2AE3G5XGppaaF6EDGJBCEAxJnly5cPyUyl/R0nqK/Gjx9P1RPQTzU1NRHL1dXVWrJkiUHRDI7+jGvW2dkpSUpNTT3pfRjTDLGoublZGRkZSk9PlyQVFBSosbExIkF40UUXhV+ff/75qq+vH/I4AfSP3W5XZWWl0WEAvSJBCABxZs+ePXrjlVd0bigU1fOM/Ne/n778ctTOsddiidqxATM4cuRIxLLf7zcoEmN1dHRI6luCEIhFXq9XaWlp4WWHw6Hm5uZjbl9VVaXLLrssvPzZZ5+puLhYNptN1113naZOnRrVeAEAiYMEIYC4MxQVdENVPSf1r4Lu3FBIq7u6ohTR0FlsoxkCBiL0hQcFwWDQoEgGT3/GNTv6t3rz5s1RiAiITXV1ddq1a1dENdLzzz8vh8OhtrY2XX311fr617+usWPHGhhl/OD7JfpqqCreJareMTS4MwMQd/bs2aM3d+3SN8Z+NWrnOGPEqZKk4IeHo3YOSfrvd1ujenyzOdHA7q+++qpWrFih//7v/9ZvfvMb/fu//7sk6eWXX9bKlSvD2/3P//yP1q5dq6lTp+qXv/yl/vrXv+rUU7v/T9x5552aMGHC0F0UcBw2m01dn3tYkJycbGA0AAbK4XCovb09vOz1euVwOHps95e//EUbNmxQZWWlUlJSIvaXpPT0dF144YXavXs3CcKTtGfPHr3S/IZCZ54bvZMMGylJernz0+idQ5Llvb1RPT76j4p3xDIShADi0jfGflX337LU6DAG7CcrlhodQsI4mYHdx4wZo5UrV+qBBx6I2Peiiy4KD+p+8OBBXX755brkkkvC7998883hZCIQS/7t3/5NL730Unj5wgsvNDAaAAOVlZWl1tZWtbW1yeFwyOPxaM2aNRHb7N69W+Xl5dq0aZPOOOOM8PpDhw5p+PDhSklJ0YEDB/Taa6+ptLR0qC8hroXOPFdd1682OowBs9232OgQTIGKdyQaEoQAgIRwMgO7n3322ZIkq9V6zONs27ZN3/ve9zR8+PDoBgwMgtdffz1i+b/+678MigTAYLDZbCovL1dpaakCgYBKSkqUmZmpdevWaeLEiZoyZYruuusuffzxx1qwYIGk7odfGzZs0N69e7VkyRJZLBaFQiFde+21EW0gAADHQ4IQAJAQ+jqw+7F4PB5dc801EevWrl2r3//+97r44ou1aNGiiO5cOD7Le3ujX8nwvx90/3vqqKiexvLeXin1W1E9R19NnTpVtbW14eXc3FzjggEwKLKzs5WdnR2x7mgyUJIefPDBXvf79re/rYaGhmiGBgBIYCQIAQD4F5/Pp7feekuXXnppeN3ChQs1evRo+f1+/frXv9bGjRt14403Ri2G/gx43d9Bz6M94PX48eOjduzPe7PjoCRpwjljonui1G8N2TWdrE8//fS4ywAAAMDJIEEIAEgIJzuw+/E888wzys3NjZjowW63S5JSUlJUXFzcY/zCWDB69GijQ+jVUM2eaObxfLZv337cZQAAAOBkkCCMU4nSZSsWu2sBiE8nM7D7iXg8Hi1cuDBinc/nk91uVygU0vbt25WZmTmYYffQnwGvgaNCoZDRIeAL/vvd1qhPSNV56KAkKfX0kVE9z3+/26oJEydG9RwAAMAYJAjjUEJ12YrB7loA4tPJDOze3NysG2+8UR9++KGef/553XPPPfJ4PJKkffv26f333+8xC+yiRYv0wQcfKBQKafz48br99tuNuDygV9OnT48Yg9DpdBoXDHoYqu84/9zfJkmyp58d1fNMmDiR720AACQoEoRxiC5bANC7Ew3sPmnSJO3YsaPXfc8++2zt3Lmzx/qHH354cIMEBlFZWZnq6+sVDAZltVpVVlZmdEj4HL6zAQCAeGE1OgAAAAD0j91u14wZMyRJhYWFMTseJQAAAGIbFYQAAABxrKysTPv376d6EDFn+fLl2rNnT9TP09+Z3Ptj/PjxQ1YZCgDAUCJBiLjDl00AQKKqra1VdXV1n/bp7OyUpB4T7JxISUkJE+Igqvbs2aM3XnlF50Z58pyR//r305dfjup59losUT0+YKREu8fi/groOxKEiDt79uzRy6+9rK7TuqJ6Hmuwuwf+iy0vRvU8tg/79muYaI23RAMOAAPR0dEhSUpNTTU4EqCnc0Mhre6K7ne2obLYxq0TElci3WP19f4KQDd+cxCXuk7r0sGLDhodxqAY+fLIPm2fSI23RAPeH52dnfJaLAlxo7LXYpHjX9VPAKSioqI+V/UxQQUAYDAkyj1WX++vAHSL/7tLwIQSpfGW+teAd3Z2yvd+u36yYumgxzPU9vyjVfYxaUaHAQAAYGqdnZ2yvOeV7b7FRocyYJb39qpTDqPDAOLO3igXYXzwr39HRe0M3fZaLPpWP/YjQQgAcSY1NVUjWloSosvWYptNw+gWCQAAAMBA48ePj/o5Dv5rGK8xEyZE9TzfUv+uhwQhgLiTmpqqr6QM0/23LDU6lAH7yYqlsp42wugwAAAATC01NVUtGqGu61cbHcqA2e5brNTUYUaHAcSVoRgTP9aHhSFBCAAAAAAATIuJIIEBJgh37Nih5cuXKxgMatasWbruuusi3q+oqNCTTz6ppKQkfeUrX9GKFSt01llnSZImTJigr3/965KkMWPGaMOGDQMJBQAAAAAAoM+YCBIYQIIwEAho2bJlqqiokMPh0MyZM5WTk6Nx48aFt5kwYYKqq6s1fPhwPfLII1q9erV++9vfSpKGDRumurq6AV8AAAAAYlOiVWRQjQEAicvsE0EC/U4QNjc3KyMjQ+np6ZKkgoICNTY2RiQIL7roovDr888/X/X19QMIFejW2dkp24e2hPmjZ/vQps7OzpPe3uzXDwCIH4lUkUE1BgAASGT9/qbj9XqVlpYWXnY4HGpubj7m9lVVVbrsssvCy5999pmKi4tls9l03XXXaerUqf0NBQAAADEqUSoyEuXBHAAAQG+G5FFoXV2ddu3apcrKyvC6559/Xg6HQ21tbbr66qv19a9/XWPHjh2KcBDnUlNTtefgnoS42ZC6bzhSU1NPenuzX/9R//1uq36yYungB/QvnYcOSpJSTx8ZtXNI3dcxYeLEPu+312LRYlt0/4R/8K9/R0XxHHstFn0riscHAAA4WZb39sp23+LoneB///Xt6tRofrvqvg6l8g0LQN/0++7S4XCovb09vOz1euVwOHps95e//EUbNmxQZWWlUlJSIvaXpPT0dF144YXavXs3CUIAJ2X8+PFRP8c/97dJkuzpZ0f1PBMmTuzz9QzF9UvSwX+N6TVmwoSoneNbGrrrAQAMrc7OTnmH4IHWUNlrscjBsCgJayi+j7zZcVCSNOGcMdE9Ueq3+H4FoM/63VpnZWWptbVVbW1tcjgc8ng8WrNmTcQ2u3fvVnl5uTZt2qQzzjgjvP7QoUMaPny4UlJSdODAAb322msqLS3t/1UAMJWhGCD+6ED3mzdvjvq5+mqoBsiP5c8AiBdDMUnHUE3QITFJB4DEZfbvlwDQ7wShzWZTeXm5SktLFQgEVFJSoszMTK1bt04TJ07UlClTdNddd+njjz/WggULJEljxozRhg0btHfvXi1ZskQWi0WhUEjXXnttxOQmAAAAiWAoJukYigk6JCbpQN+lpqZqREuLVndFd5KaobLYZtOwfgyLAgBAPBjQN73s7GxlZ2dHrDuaDJSkBx98sNf9vv3tb6uhoWEgpwYAAIgLTNIBAACAWMejYMQl24e2qN+oWD/rrsgIfikY1fNQkQEAAADASJ2dnUNyjzUUbB/a1NnH8UIT6fql/n0GAJkJxJ2hGnD36JhOE8ZFb4KGoxhEGAAAAAAAGIUEoUnU1taqurq6T/v0d9DzkpISFRUV9WmfvmCCBiooAQAAAAye1NRU7Tm4J2GGxEjt43ihiXT9Uv8+A4A7cxzT6NGjjQ4BvaCCEgAAxIu9FosW26J7y/HBv/4dFdWzdF/Lt6J8DgAAjEKC0CSKioqiWtWHoUMFJQAgXiTSmE6M59R3Q/UA8OC/HmqOmRDdh5rfEg81AQCJiwQhAABAlJAgg5nxUBMAgPhBghAAAABRkUhjOjGeE4Av6us477E6xjsASCQIAQBADEmkSbUkEmQAgP/DGO+xjYkgYXb8rwEAAHGNG67Ylig3XNxsAfiiRBvn3cx/r5kIEiBBCAAAYkii3WxJ0b/hiuVqhES74eJmC0CiMvvfa8ZMBUgQAgAARM1Q3HDFcjUCN1wAEB/4ew30XaKNQ0qCEDCBRBvTqz8S7Y93X/F/ADDGUNxwcbMFAAAQ+2J9WBwShAB6Fet/vKLN7Ncv8RkAAIYeD7SA+MHvq7nx80+8oXFIEMIUzP7HK9H+cPWH2T8Ds18/EC/M3l5JQ/cZmP36pdj9DPqKB1pA/Eik31f+XvddIv38ExEJQuAY+OMFAIgHtFd8Bol0/TzQAuIHv699x99rxDIShDAF/ngBAOIB7RWfgdmvHwDiBX+vkWisRgcAAAAAAAAAwDgkCAEACWPHjh3Ky8tTbm6uNm7c2OP9V199VVdccYW++c1v6g9/+EPEexMmTFBhYaEKCwt1ww03hNe3tbVp1qxZys3N1U033aQjR45E/ToAAAAAYCiRIAQ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\n", "text/plain": [ "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1997,7 +2002,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -2109,7 +2114,7 @@ "3 0.80 0.0 5 27 32 " ] }, - "execution_count": 61, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -2119,9 +2124,7 @@ "month_type = CategoricalDtype(\n", " categories=[\"Jan\", \"Feb\", \"March\", \"April\", \"May\", \"June\", \"July\", \"Aug\", \"Sept\", \"Oct\", \"Nov\", \"Dec\"], ordered=True\n", ")\n", - "hr_type = CategoricalDtype(\n", - " categories=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23], ordered=True\n", - ")\n", + "hr_type = CategoricalDtype(categories=range(24), ordered=True)\n", "df_bikeshare.mnth = df_bikeshare.mnth.astype(month_type)\n", "df_bikeshare.hr = df_bikeshare.hr.astype(hr_type)\n", "df_bikeshare.head(3)" @@ -2136,7 +2139,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -2174,12 +2177,12 @@ " \n", " 0\n", " Intercept\n", - " -68.6317\n", - " 5.307\n", - " -12.932\n", + " 73.5974\n", + " 5.132\n", + " 14.340\n", " 0.000\n", - " -79.035\n", - " -58.229\n", + " 63.537\n", + " 83.658\n", " Intercept\n", " \n", " \n", @@ -2191,7 +2194,7 @@ " 0.000\n", " -16.741\n", " -9.040\n", - " cloudy/misty\n", + " C(weathersit)[T.cloudy/misty]\n", " \n", " \n", " 2\n", @@ -2202,7 +2205,7 @@ " 0.152\n", " -260.031\n", " 40.542\n", - " heavy rain/snow\n", + " C(weathersit)[T.heavy rain/snow]\n", " \n", " \n", " 3\n", @@ -2213,10 +2216,10 @@ " 0.000\n", " -72.307\n", " -60.682\n", - " light rain/snow\n", + " C(weathersit)[T.light rain/snow]\n", " \n", " \n", - " 38\n", + " 40\n", " workingday\n", " 1.2696\n", " 1.784\n", @@ -2227,7 +2230,7 @@ " workingday\n", " \n", " \n", - " 39\n", + " 41\n", " temp\n", " 157.2094\n", " 10.261\n", @@ -2243,61 +2246,80 @@ ], "text/plain": [ " name coef std err t P>|t| \\\n", - "0 Intercept -68.6317 5.307 -12.932 0.000 \n", + "0 Intercept 73.5974 5.132 14.340 0.000 \n", "1 C(weathersit)[T.cloudy/misty] -12.8903 1.964 -6.562 0.000 \n", "2 C(weathersit)[T.heavy rain/snow] -109.7446 76.667 -1.431 0.152 \n", "3 C(weathersit)[T.light rain/snow] -66.4944 2.965 -22.425 0.000 \n", - "38 workingday 1.2696 1.784 0.711 0.477 \n", - "39 temp 157.2094 10.261 15.321 0.000 \n", + "40 workingday 1.2696 1.784 0.711 0.477 \n", + "41 temp 157.2094 10.261 15.321 0.000 \n", "\n", - " [0.025 0.975] clean_name \n", - "0 -79.035 -58.229 Intercept \n", - "1 -16.741 -9.040 cloudy/misty \n", - "2 -260.031 40.542 heavy rain/snow \n", - "3 -72.307 -60.682 light rain/snow \n", - "38 -2.228 4.768 workingday \n", - "39 137.095 177.324 temp " + " [0.025 0.975] clean_name \n", + "0 63.537 83.658 Intercept \n", + "1 -16.741 -9.040 C(weathersit)[T.cloudy/misty] \n", + "2 -260.031 40.542 C(weathersit)[T.heavy rain/snow] \n", + "3 -72.307 -60.682 C(weathersit)[T.light rain/snow] \n", + "40 -2.228 4.768 workingday \n", + "41 137.095 177.324 temp " ] }, - "execution_count": 62, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bikeshare_ols = smf.ols(\"bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)\", df_bikeshare).fit()\n", + "bikeshare_ols = smf.ols(\"bikers ~ workingday + temp + C(weathersit) + C(mnth, Sum) + C(hr, Sum)\", df_bikeshare).fit()\n", "table = bikeshare_ols.summary().tables[1]\n", "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", - "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\)\\[T\\.(.*)\\]\", \"\\g<1>\", regex=True)\n", - "df[~df.name.str.contains(\"C\\(mnth\\)\") & ~df.name.str.contains(\"C\\(hr\\)\")]" + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" ] }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { - "image/png": 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GvxMH4L5gD0xZ/yfSrwipQboBqNQMFm27iLwKKTY8MRRhvny2Q0IvLydMHxKIbWduQUyjyoQQoiWul0PWrOrURD5d+vu7wJbHQVYJJco9gRJlgtMFEsQEuRuthYyDLQ+PDgvG5j/zqUG6AX2w7xr+yKnAu1MjMSrcm+1wtP4ZFwalmsEGqlUmhBCtgtsT3ju/Kl9r9jY8RAhc8FdpTQ9ERShRtnINciWySgxTn9yeRoUa14T1Op+jBuldp6n3Pp0vwb6/yvDMg33x5IjebIfVSm8vZ0wbEoifTtOoMiGEaGg6Q3V3RBkAogLdkVVSS61ZewAlylbufFG1weuTdaEG6T1LrlDhZoVUW+/97fECbJwzFMsn9mM7NJ3+Oa5lVHnj0Xy2QyGEEJNQKJHBlsdBQA+0dIsJckN9kxJFElkPRGbdKFG2cqfyJbDhcjC0t+Hrk+9EDdJ7VklNIxI+P6at995/VYTZG0+h3ER7FvfxdkbK4ED8eKoI4nrTjNFSlZeXY86cOUhISEBiYiK2bNkCAFi/fj1Gjx6N5ORkJCcn48iRI9p9Nm7ciAkTJmDixIk4duwYW6ETYtEKK1taw/G43W/fGRXUMqHvcklNt1/L2lGibOVO5UsQHeQGJzsbox/77gbpEyMF+G0RNUjvLGmTAmv255hdvfc/48KgUKmx6QiNKhsTj8fDa6+9ht9++w0///wzfvrpJ+Tl5QEA5s6di7S0NKSlpWHs2LEAgLy8POzbtw/79u3DN998g3fffRcqFZVGEdLTCiUN6NvN+mSNfn4usLPh4i+a0NdtlChbMVmzpj7ZuGUXGnc2SN/w5H0I8+WjvK6RGqR3UqNCjezyOp3PmXK9d19vZ6QMCcSPp4tQUS9nOxyr4evri8jISAAAn89HSEgIRCJRm9tnZmYiMTERdnZ2CA4ORu/evZGVlWWscAmxCmo1g8IeaA2nYctrKW/MohZx3UaJshU7X1QNJQv1yXfjO9gi1McFP5wsxC/nS1mNxRyZc733S3HhaFaqsekodcBgQ0lJCa5du4aYmBgAwNatW5GUlIQVK1agtrblA1YkEkEgEGj38fPzazexJoR0nqi+CU0KdY8lygAQHeSGq6W1UKlpQl93UKJsxU7nV4HHQn2yLnY2XEwe5I+Mq0Ja4rqT+A62eHFsqFnWe/e9Xav8w6kiVEppVNmYGhoasGjRIrz++uvg8/l47LHHcODAAaSlpcHX1xerVq1iO0RCrIamNVxPlV4AQHSQOxqaVSiolPbYa1ojSpSt2Kl8CaIC3cC3N359si5JMQFoaFbhcI6Y7VDMypXSWmw4chM7F8Rq670TogRIX2we9d7/jAu7PapMtcrGolAosGjRIiQlJSE+Ph4A4O3tDR6PBy6Xi1mzZuGvv/4C0DKCLBQKtfuKRCL4+fmxEjchlqqwsqU7RR/vri9ffbdozYS+Yiq/6A5KlK1UY7MKl0tqjN4/uT0jQjzhzbfDnsvlbIdiNhiGwXt7snGmoAp9vJ2xekY0diyIxeoZ0Qjx4ZtFvXeIDx9TYwLww0kaVTYGhmHwxhtvICQkBPPmzdM+Lhb//QX14MGDCA8PBwDExcVh3759aG5uRnFxMQoLCxEdHW30uAmxZIWSBtjZcBHg1nODG6E+fDja8mgp624yjaFEYnQXblVDoWK/PvlONjwuEqL8sf1cMaRypcmMdJuyfX+V40xhFT6cFgUXh5YSC76D6ZZatOWfceH49XIZvj6ajxUJA9gOx6KdP38eaWlp6NevH5KTkwEAS5cuxd69e3H9+nUAQGBgIN577z0AQHh4OCZPnoyEhATweDy89dZb4PFM/wsYIeaksLIBvT2dwO2B1nAaPC4HgwJdkUUt4rqFMhErdTpfAi4HuN8E6pPvlBQTgO9PFiHzmgjJgwPZDsekNSlU+Oi36xjg74rZw4LZDqdbwnz52nM/f0wIvPj2bIdkse6//37k5OTc87imHZwuL774Il588UVDhkWIVSuUNKB3D9Yna0QFumPr6SIoVWrY8KiIoCvot2alTuVXISrQTTsKaSqG9vKAv5sD9lwuYzsUk/f10XyU1jTirSkDe6RBPdteigtHk1KFr48VsB0KIYQYjVrNoEgiQ98erE/WiAl2g1ypRq6YJvR1FSXKVqhJocKl4hqTKrvQ4HI5mBLtjyM3KlArM82FMkyBsLYJXx6+icmDBIgNNb3z2BVhvnwkRQfg+5OFqGpoZjscQggxivK6JsiVPdsaTiMqsGVCHy080nWUKFuhC7eq0axSm9REvjslxQRAoWKw/6qw442t1Orfr0PFMHjdwup5F40PQ6NCha+PUQcMQoh1KDRAaziNPl7OcLG3oaWsu4ESZSt0Or+qpT65j2kmylGBbujt5YQ9WVR+ocuFW9XYdbEUz43qi2DPnr9Vx6YwXxdMiQ7A9ydoVJkQYh00PZQNMaLM5XIwKNCNOl90AyXKVuhUvgSRAW5wNbH6ZA0Oh4Ok6AAcz6ukdmF3Uatb2sH5uNjjH+PC2A7HIBbFhUGmUOEbGlUmhFiBwsoG2NtwIXB1MMjrRwe54Vp5HeRKWsyrKyhRtjJNChUuFtdghImWXWhMifGHmgHS/6KeyndKu1yKS8U1+Nek/hbbPi/czwUJUf7YcqIQ1TSqTAixcIUSGfp4Ofdoa7g7RQe5Q6FicENIE/q6ghJlK3OpuAbNSjWG9zXtCWARfi4I9+XT4iN3kDUr8XF6DmKC3DB9iGW3zlsUF94yqvwnjSoTQixboaShR1fku5tmhb6s0hqDHcOSUaJsZU7nV4HDAYb1Ne0RZQ6Hg6SYAJwprEJ5bSPb4ZiErw7fhLCuCW8lDTTYyIOpiBC4IGGQP7acKEKNjEaVCSGWSaVmcOv2iLKhBHk4wt3JFlm0lHWXUKJsZU7lSzDQ3xVujqZZn3ynKdH+AIB9WTSqXFItw8aj+ZgaE4ChvU37S05PWTQ+HFK5Epv/pL7KhBDLVFbTiGaVYVrDaXA4HEQFuiGLJvR1CSXKVkSuVOHCrWqT7J+sS4gPH4MCXbGHEmV8lH4dHA7w2uT+bIdiNBECFyRECfDf44U0qkwIsUiFktsdLww4ogy0lF/cENWjSUET+jqLEmUrcrm4FnKlGsNNvOziTknRAbhcXINbEhnbobDmTEEV9mWVY8HYUAS4O7IdjlFpRpW/pVFlQjpF2qRARb0c0iZauMmUaXsoG3BEGWhZylqlZpBdXmfQ41giSpStyOl8CTgc4AEzSpQTb5dfWGtPZbWawXt7ryLAzQEvjAllOxyj6y9wxeRBLaPKtFIjIR2TK1S4WSHF8p1ZmPnVCSzfmYWbFVLIaSTRJBVUyuBoy4Ofq71BjxMTTCv0dRUlylbkVIEE/QWucHeyYzsUvQV5OGFobw/suWydifLO8yW4UlqHf03uD0c7HtvhsGLR+HA42fNw4VY1jZAR0oGSmkYkfH4M6VeEKJLIkH5FiITPj6G0hiZFm6JCSQN6ezmBwzHsBG2BqwO8+fa0Ql8XGDRRrqurw6JFizBp0iRMnjwZFy9eRE1NDebNm4f4+HjMmzcPtbX07cYYmpVqnC+qNvn+ybokRfvjurAeuaJ6tkMxqvomBVbvz8HQ3h6YGhPAdjisCfF2xsY59+N/Z2/RCBkh7ZA2KbBmfw7kSnWrx+VKNdZk5NCXTBNUKGkweNkF0DKhLzrIjUaUu8CgifIHH3yA0aNH4/fff0daWhpCQ0OxadMmxMbGIiMjA7Gxsdi0aZMhQyC3ZZXUoElh+v2TdUmI9geXA6ub1Pd/f+ShUirHW1MGGny0wZSV1DRi9saT2H9VRCNkhLSjUaFuswY1u6wOjfTl0qQoVWoUV8kM2vHiTlGBbsirkKJBrjTK8SyFwRLl+vp6nD17FjNnzgQA2NnZwdXVFZmZmUhJSQEApKSk4ODBg4YKgdzhVL4EAMxqIp+Gr4sDRoR4Ye/lMjAMw3Y4RlEkacB//yzEjPuCEBPsznY4rKERMkL052jLxUB/V53PDQxwtdryLVNVVtMEhYpBHy/DLTZyp+ggNzAMcLWMJvR1hsES5ZKSEnh6emLFihVISUnBG2+8AZlMBolEAl9fXwCAj48PJBKJoUIgdzhdUIX+Ahd4OJtPffKdkmICkF/ZYDVv8A/2XYMtj4N/TYpgOxRW0QgZIfrjO9hi2cQI2Nu0/mi3t+FiWXwE+Pam3z/fmhQYqTWcRpRmhT6qU+4UgyXKSqUS2dnZeOyxx5CamgpHR8d7yiw4HI5V31I2FoVKjXOF5tM/WZdJkQLYcDlW0f3iRF4lMrJF+Me4MPi6OrAdDqtohIyQzglyd8Rvi0djYqQAfbycMDFSgPTFoxFoZa0lzYGxWsNp+Lo4wN/NAX/RwiOdYrBEWSAQQCAQICYmBgAwadIkZGdnw8vLC2KxGAAgFovh6Wl+pQDmJqukFo0KlVmWXWh4ONthVLg39l4ut+jyC6VKjff2ZiPY0xHPjurLdjisoxEyQjrH3pYHNwcbhPny8c9xYYgQ8NHbyxn2tvSl0tQUVDbA2Y4HHxfDtoa7U1SgG7JoQl+nGCxR9vHxgUAgQH5+PgDg5MmTCA0NRVxcHFJTUwEAqampGD9+vKFCILdp6pPNqX+yLknRASitacSFWzVsh2Iw284W47qwHq9PHgAH+mAD0DJClr54NBKiWkbIJg8S4Idnh6OxmcouCNElRyTFF3/k4WhuJdZl5qG0mia+mqKW1nDORr2zHh3khoLKBtQ20vwOfdkY8sXffPNNLFu2DAqFAsHBwfjoo4+gVquxZMkS7Ny5EwEBAVi7dq0hQyBoqU/u58eHF99431oNYUKkH+x2c7HnchmG9vZgO5weVytT4NOMHAzv64lJgwRsh2My7G15CPHhY/WMaDQqVLDlcfHU5jNQg8GvC0eBy6XyLULupGmlmRAlwK+Xy5ArrkcvI00YI/orrGxAZICbUY8ZFeQOALhaWouRYd5GPba5MmiiPGDAAOzateuex7ds2WLIw5I7tNQnV2Hm0CC2Q+k2VwdbjIvwwW9/lePNKQPBs7AE6fPMXNQ2KvBWknW3g2sL38EWfIeWUot5o/rg5Z8vI+1yKaYNMf+/bUJ6Uq5YClcHG8SGemv/PX6AH8tRkTspVGqUVDdqV581lujA2xP6KFHWG63MZ+GulNZC1qwyy/7JuiTFBEBcL8eZgiq2Q+lReWIpvj9ZiNnDehl9hMEcJccEIirQDZ/8noMm6nxBSCu5YinC/Vzg5mgLP1d75IqkbIdE7lJa3QilmjFaxwsND2c7BHs60sIjnUCJsoU7ld+SUA43wxX5dInr7wsnO57Fdb/4YF82HG15eCW+H9uhmAUul4M3EgegrLYJm/8sYDscQkxKnliKcF8+ACDc1wV5Yuta1dQcaFvDGanjxZ2iA91pKetOoETZwp0ukCDMlw9vM69P1nCys8HDA/yQ/lc5FCp1xzuYgT9yxPgjpwKLxodbzHkyhhEhXpgw0A9f/pGHino52+EQYhIkUjmqGpoRdjtRDvPlI1cshVptud2CzJGmNZyxR5SBln7KJdWNqGpoNvqxzRElyhZMqVLjbEEVRljIaLJGUkwAqmUKHM+rZDuUblOo1Fi5Nxt9vZ3x9Mg+bIdjdlZM7g+5Uo3PDt5gOxRCTEKeuKXMItzP5fZ/+ZA1q1BWS50vTElhZQP49jbw5ht/ETBNnTL1U9YPJcoW7GpZHRqaVWa90IguY/p5w8XBBnsul7MdSrf9cLIINysa8EbCANjZ0Nuxs0J8+HhyRG/878wt7Ux/QqxZriZRvj2i3O92wqx5nJiGAokMfbydWJm4Pej2Cn1/UfmFXuiT2YJZSv/ku9nb8DApUoCMq0KznshV1dCMtQdvYHS4N8YP8GU7HLO1aHw4nO1t8OFv19gOhRDW5YmlcLbjwd+tZVXPMJ+WhDmPJvSZlMLKBlbKLoCWDlIh3s608IieKFG2YKcLqhDq4wxfF8tbBjkpJgD1ciWO3KhgO5Qu++zADTQ0q/DWFGoH1x2eznb457gw/JFTgT9zzb8cx9DKy8sxZ84cJCQkIDExUduus6amBvPmzUN8fDzmzZuH2tqWD1GGYbBy5UpMmDABSUlJuHr1Kpvhkw7kiusR5ueivaZ4ONvBm2+PXJrQZzKalWqUVMuMtnS1LlFBtEKfvihRtlAqNYOzBVUYbmFlFxojQ73g6WyHPZfNs/vFdWEdtp4uwpPDe2lrCUnXPT2yD4I8HLFyXzZUNGmpXTweD6+99hp+++03/Pzzz/jpp5+Ql5eHTZs2ITY2FhkZGYiNjcWmTZsAAEePHkVhYSEyMjLw/vvv45133mH3ByDtyhX93fFCI/z2hD5iGkqqZVAz7Ezk04gKdIOwrgniuibWYjAXlChbqOyyOtTLlRZXn6xhw+MiIUqAzGtiyJqVbIfTKQzD4P292XBxsMWSh6kdXE9wsOXhX5P647qwHr9cKGE7HJPm6+uLyMhIAACfz0dISAhEIhEyMzORkpICAEhJScHBgwcBQPs4h8PB4MGDUVdXB7FYzFb4pB21MgXE9fJ7E2U/PvJEUjAMfYk0BYUstobTiL69Qh9N6OsYJcoWSlOfPMLC6pPvNCU6AI0KFQ5eM68P7QPZIhzPk+Dlh8Ph4Wz8Gc+Wakq0PwYHu2PN/hyz+/LElpKSEly7dg0xMTGQSCTw9W2plffx8YFE0nINEYlEEAj+XlJdIBBAJBKxEi9pX15FS3lFuN+9I8r1ciVEddRG0RQUVMoAgNXSi8gAV3A5oPILPVCibKFOF0gQ4u0MX1fLq0/WGNbHE36u9mZVfiFXqvDBb9cQ7svHEyN6sx2OReFwOHhzygCI6+XYdDSf7XBMXkNDAxYtWoTXX38dfH7rxIrD4VDdvBnSrMAX5tO6nCvMV9P5guqUTUFhZQNcHGzg4WTLWgzO9jYI8+XTiLIeKFG2QCo1g9MFVRazGl9beFwOEqMCcCSnAnVNCrbD0ct3xwtRJJHhzSkDYcujt19PG9rbEwlRAmw8kg8R1d61SaFQYNGiRUhKSkJ8fDwAwMvLS1tSIRaL4enZcv3w8/ODUCjU7isUCuHn52f8oEmHcsVSONhyEejh2OpxzQjzDep8YRIKJQ3o6+3M+pfRqEB3ZJXUUklOB+iT2gJdK69DfZPl1iffKSnGH80qNTKumv6t4Ip6OdYfysP4/r4Y08+H7XAs1r8m9YdSrcanGbQIiS4Mw+CNN95ASEgI5s2bp308Li4OqampAIDU1FSMHz++1eMMw+DSpUtwcXHRlmgQ05IrliLUhw8et3UC5uVsBw8nW1rK2kQUsNga7k7RQW6olMpRXkuDCu2hRNkCaeqTh/e1/ER5cLA7gjwczaL8Ys3+HMiVKryROIDtUCxaby9nPB3bB9vPF+NaeR3b4Zic8+fPIy0tDadOnUJycjKSk5Nx5MgRzJ8/H8ePH0d8fDxOnDiB+fPnAwDGjh2L4OBgTJgwAW+++Sbefvttln8C0pY8Uf09E/mAllKacD8XbWkGYY9cqUJZTSOrE/k0om4vPEJ1yu2zYTsA0vNO5Vehj5cTBG6WW5+sweFwkBQTgE1H81HV0AxPE50cd6W0FtvPF+PZB/sixOfeDzLSs16KC8eO8yX48Ldr+P6ZB1i/xWlK7r//fuTk5Oh8TtNT+U4cDoeSYzMglStRVtvUZrvJcF8+9maVg2EYej+wqLiqEWoG6OvtxHYoGOjvChsuB3+V1mDSIEHHO1gpGlG2MGo1g7OFVVYxmqyRFB0AlZpB+hXTW9Ja2qRARX0TLt2qQT8/F7w0PpztkKyCm5MtFo0Px7HcShw240VpCNHXzdt9ksN0jCgDLYlybaMCFVLqfMGmwsrbreFMoPTCwZaHfn4uNKLcAUqULcw1YR1qGxUYEWrZE/nuNMDfBaE+ziZVfiFXqHCzQorlO7Mw86uTOJZXgc8eiYGDDb3ljGXOiN7o4+WED/ddg1KlZjscQgxKs6CIrtILANqRZlrKml2aHspstoa706gwLzzQ1xMV9U2QmsmkeGOjT20Lczq/CoB11CdraMovThdUmUyng5KaRiR8fgzpV4Qoksiw/6oI0748gdKaRrZDsxp2Nly8Nrk/csVSbD9Hi5AQy5Yrrocdj4tenrpv6WsSaFqhj10FlQ1wd7KFuxP7ZYJyhQrJQwJxpbQWM786ieU7s3CzQgq5QsV2aCaFEmULcypfgl6eTghwd+x4YwsyJToADAPsy2K//ELapLg9ca/1KKZcqcaajBz61m5EEyMFGNbHA58eyIFUTouQEMuVJ5IixMcZNm20nfRxsYergw31UmZZoaQBvU2g7AJoGdCZ/uUJ7L8qQpFEhvQrQiR8fowGdO5CibIFUasZnCmswnALXo2vLWG+fAz0d8WeLPbLLxoVamS30W0hu6wOjfRt3Wg4HA7eSByISmkzvjp8k+1wCDGYXLG0zfpkgDpfmIrCShn6erE/kY8GdPRHibIFyRHVo0amsIr+ybokxQTg4q0aFFfJWI3D0ZaLAQLdM88HBrjC0Y5n5Iis2+Bgd0yNCcDXx/JRRiMlxAI1NqtQXC1DuK/u645GuC+fSi9Y1KRQoazWNFrD0YCO/ihRtiCnNf2TLXxFvrZMifYHAOxlufwi7VIZnhkVAvu7Ju7Z23CxLD4CfHv2li21Vq9OigADYE2G7rZohJizmxVSMMzfK/C1JdzPBVUNzZBQ5wtWiOuasGp6NMaawIJTjrZcDPR31fkcDei0RomyBTmVX4UgD0cEebB/W4cNwZ5OGBzszmr3i++OF+CN1Cu4eKsavy0ejYQoAfp4OSEhSoD0xaMRaGW146YiyMMJzzzYF7sulOJKKbVCIpYlr4OOFxo0oY8dmi5IH/52DV8ezsOmo/msT5rjO9hi2cQIGtDRAyXKFuLv+mTrLLvQSIoJQHZ5HW5WGP+D4MdTRXhnTzbiB/rhmVF9EerDx+oZ0dixIBarZ0QjxIcPe1v6ls6Wf4wLhaezHVbuywbDMGyHQ0iPyRXXg8fldDhJTDPiTImycWm6IP1uYpPmgtwdkX7HgM6kSBrQ0YUSZQuRK5aiqqEZI6y07EIjMcofHA6w97Jxyy+2ny3Gv1OvIK6/L/7v8ftge3vmOd/BFj4uDuA70Ldztrk62GLJw+E4lV+Fg9fEbIdDSI/JFUnRx8sJdh30aRe4OoBvb4M8EXW+MBZTnjRnb8tDyO0BnfeSIzEwwAW9PJ1oQOculChbiNMFLfXJ1jqRT0Pg5oAH+nji18ulRhs13H2xBP/alYXR4d748on7OvywIux57IFeCPFxxkfp16CgRUiIhcgTSzucyAe0dL4Iowl9RmUOk+b4Draoa1Li0wO5uFxSw3Y4Joc+0S3EqXwJAt0dEeRBt0ySYgJws6IB14WGHzXZc7kMr2y/jNgQL3z91P1woG/iJs2Wx8Xrkwcgv6IB287cYjscQrpNrlShUNLQ4UQ+Dep8YVzmMmluVJg3uBzgyI1KtkMxOQZNlOPi4pCUlITk5GRMnz4dAFBTU4N58+YhPj4e8+bNQ20tTazpLoZhcDq/CsNDPMHhcNgOh3WTBwnA43IMPqnv9yvlWPLzJdzf2xPfPE1JsrkYP8AXsSFeWHswF3XUK5SYuYLKBqgZtNtD+U7hfnxU1MtRI2s2cGQEMJ9Jc+5OdogJdseRGxVsh2JyDD6ivGXLFqSlpWHXrl0AgE2bNiE2NhYZGRmIjY3Fpk2bDB2CxcsTSyFpaMYIK5/Ip+HFt8eDYd7Yk1VmsPKLg9ki/POni4gJcsO384bByc7GIMchPa9lEZIBqJY144s/8tgOh5Bu+bvjRcelF3dul0ejykYjcLXH1ueGY1KkaXdBGtvPB1klNahuoC9RdzJ66UVmZiZSUlIAACkpKTh48KCxQ7A4pwqqAFB98p2Sov1RXNWIyyU9f8ficI4Y/9h6AZEBrvjumQfAt6ck2dwMCnTDtCGB+O+fhawvUENId+SKpOBygBAf/RaxoM4Xxne6oAoLf7qAhXGhJt0FaUw/HzAMcCyPyi/uZPBE+dlnn8X06dPx888/AwAkEgl8fX0BAD4+PpBIJIYOweKdypfA380BwZ6m9e2UTfGRAtjxuD1efvFnbiXm/3Ae4X58fP/McLhSNwuztXxiBLhc4JP9tAgJMV95Yil6eTrpXfoV4OYIJzseblDnC6P55UIpFCoGEX6uJt0FKSbIHW6OtjhK5RetGDRR3rZtG3bv3o2vv/4aW7duxdmzZ1s9z+FwqKa2m1rqkyUYEeJFv8s7uDnaYmyED/ZmlUGt7pnyi1P5Ejz3/VmEeDvjh2eHw83JNC92RD/+bo54fnQIfr1chkvFNWyHQ0iX5IrrEaZn2QUAcLktnS+o9MI4ahsVOJAtQlK0v8l3ROJxORgV7o2jNyqo1/wdDHrW/Pz8AABeXl6YMGECsrKy4OXlBbG4pYepWCyGp6d19/3trpsVDaiUNmN4X/o93i0pJgCiOjnOFlZ1+7XOFVbhme/OIsjDCT8+NxyeznY9ECFh2wtjQ+HNt8fKvbQICTE/CpUaBZX6d7zQCPPlI1dEibIxpP9VjmalGtPvC2I7FL2M7ecDcb3cKF2jzIXBEmWZTAapVKr9/+PHjyM8PBxxcXFITU0FAKSmpmL8+PGGCsEqnMqn/slteXiALxxtediT1b3yi0vFNZj737MQuDrgp+eGw5tv30MRErbx7W2wdEI/nCuqxu9XhGyHQ0inFElkUKiYDpeuvlu4rwuEdU3U9cUIdl0sRYiPM6KD3NgORS9j+/kAAHW/uIPBEmWJRILHH38cU6dOxaxZszB27FiMGTMG8+fPx/HjxxEfH48TJ05g/vz5hgrBKpwuqIKfqz16ezmxHYrJcbKzwfgBvvjtLyGUXVxc4kppLeZsPg0vvh1+en4EfF0dejhKwrZH7g9CPz8+Vv1+Hc1KWoSEmI88ccuon74dLzQ0iTWVXxhWcZUMZwqqMOO+ILMpjfRzdUB/gQuO5FCirGGw6frBwcH49ddf73ncw8MDW7ZsMdRhrQrDMDiVL8HIUKpPbsuU6ADszSrHiZsSjLn9TVlf2WV1eHLzabg62OKn50dA4EZJsiWy4XHxesIAzP3vWfxwqgjPjurLdkiE6EVTPhHqq1/HCw1NqUaeSIr7enn0eFykRerFUgBA8uAAliPpnLH9fPDt8QI0yJVwpq5OtDKfOSuobEBFvRzDqX9ymx6K8AHf3gZ7O1l+cUNUjyc3n4ajLQ/bnh9hcv0uSc96KMIXo8O9sS4zlxZiIGYjVyxFoLtjp/u4B3k4wd6Gi1wx1aEaCsMw2HWxFCNCPBHkYV53fMf084FCxeDkTepKBlCibNZO5Wv6J9NEvrY42PIQH+mH368IIVeq9NrnZoUUj399GjZcDn56fgR6UVmLVXgjcQDqmxRYf4gWISHmIVcs7fREPqClu0GoDy1lbUiXimtQUNmA6UPMYxLfne7v4wFHWx6O5lL5BUCJslk7XSCBj4s9+np37rabtUmKCUBdkxLH9FjDvrCyAY9/fQoAg5+eH0G/WyvSX+CKWUOD8f3JQhRJGtgOh5B2qdQMblZIOz2RT6OfH3W+MKRdF0phb8PF5CgB26F0mr0ND7GhXjSh7zZKlM2Upj6Z+id3bFSYN9ydbDvsflFcJcPjX5+CQsVg63MjENbFDyBivl6J7wdbHhdfHbkJaZMCFfVySKkzADFBxVUyNCvVnZ7IpxHu54LSmkY0yJU9HBlpVqqxJ6sM8ZECuJjo4iIdGdvPB0USGQoradCAqrTNVJFEBlGdnPon68GWx8XkQf5Iu1SKxmYVHO3uXcGqtKYRj319Cg3NKmx7fgQiBF378CHmzdfVAaumR0Hg5ohlOy7jmrAeA/1dsWxiBILcHU1uyVlivTRlE2FdKL0AoB0IyBNLERPs3lNhEQB/5IhRI1Ng+n2BbIfSZZrJ70dzK9DHyu+s0oiymaL+yZ2TFOMPWbMKh66L73lOWNuEx78+hdpGBX58djgGBriyECExFQMD3DBn82n8flWEIokM6VeESPj8GEprGtkOjRAtTWu3rt750pRsUJ1yz9t9oRTefHuMDvNmO5Qu6+PlhF6eTrScNShRNlunC6rgzbdHqI91f9PT1/C+XvBxsceey63LL8T1TXj8m1OQSJvx/TMPIMpMmsITw5A2KfCfjBzI7+qnLFeqsSYjh8owiMnIFddD4OoA1y7e2u/l6QQ7HnW+6Gk1smZkXhcheXAAbHjmm2JxOByM6eeNEzclVt9f3nzPohXT1CcPD/Gk+mQ98bgcJEb542pZLaoa5Kiol6OivgmLtl2EsLYJ/503DEOon6jVa1SokV1ep/O57LI6NCr065xiylasWIHY2FhMmTJF+9j69esxevRoJCcnIzk5GUeOHNE+t3HjRkyYMAETJ07EsWPH2AiZ6JDXxY4XGjY8LkJ8nJFHE/p61N6scihUDKYNMd+yC42x/Xwha1bhXFEV26GwimqUzVBxVSPKa5swguqTO+XRYcFIiPLH67v+wjVhPfoLXPDKhAg42vEwKJBGkgngaMvFQH9XFElk9zw3MMBVZ327uZk+fTqefPJJ/Otf/2r1+Ny5c/Hss8+2eiwvLw/79u3Dvn37IBKJMG/ePOzfvx88nvn/HsyZWs0gTyzF7GHB3XqdMF8+skpqeygqAgC7LpQgws8FkRZQwhcb6gUbLgdHblRgZKj5lpF0F40omyGqT+4aWxtuq9rT/VdFeHLzaThZQPJDegbfwRbLJkbA3qb1pdHehotl8RHg25vnDPY7DRs2DG5u+n0xzMzMRGJiIuzs7BAcHIzevXsjKyvLwBGSjpTVNkLWrOpyxwuNcF8XFFfL0Nhs/ndKTEFhZQMu3KrBtPsCLeJuL9/eBvf38cBRPVqrWjJKlM3QqQIJvJztqH1ZJ0ibFFizn2pPSceC3B2Rvng0EqIE6OPlhIQoAdIXj7b41Rm3bt2KpKQkrFixArW1LaOMIpEIAsHffWD9/PwgEonYCpHcppmA153SC6CllzLDtCyyRLpv18VScDjmt2R1e8b088G18jqI65rYDoU1lCibodP5VVSf3EnWUHtKeoa9LQ8hPnysnhGNHQtisXpGNEJ8+BbdGu6xxx7DgQMHkJaWBl9fX6xatYrtkEg7NHXFYT7dS5Q1iXYedb7oNoZhsPtiCR4M9Ya/m+V8qR6rbRNnvaPKlCibmeIqGUprGjG8L5VddIam9lQXS6k9JT2L72ALHxcH8M10wYDO8Pb2Bo/HA5fLxaxZs/DXX38BaBlBFgqF2u1EIhH8/PzYCpPcliuuhzffHh7Odt16nd5ezrDhcnBDRJ0vuutcUTWKqxotYhLfnQYIXOHNt7fqVfooUTYzVJ/cNdZQe0pIV4nFf/cXP3jwIMLDwwEAcXFx2LdvH5qbm1FcXIzCwkJER0ezFSa5LVcsRZhv91uD2vK46OvtTL2Ue8CuC6VwtOVh0iDzW7K6PVxuS5u4P3MroFIzbIfDCup6YWZOF1TBw8lW2yye6E9Te7omIwfZZXUYGOCKZfERFl97Ssidli5dijNnzqC6uhpjxozBSy+9hDNnzuD69esAgMDAQLz33nsAgPDwcEyePBkJCQng8Xh46623qOMFyxiGQZ5IipQeGrkM9+PjWjmNKHdHk0KFvVllmDRIAGd7y0urxvbzwa4LpfirtBaDrXAVR8s7oxbuVL4Ew/t6gcul+uTOurP2tFGhgqMtzypuqxNyp08//fSex2bNmtXm9i+++CJefPFFQ4ZEOkFUJ0e9XNntiXwaYb4u+P2KEE0KFRwsuA7fkDKviVHfpDTrJavbMyrMGxwOcPRGhVUmylR6YUZKqmUoqW7EiBDqn9wd1lR7SgixLJqV9Hqq61G4Lx9qBiiobOiR1zMEaZMCFfVyk+1OtPtiCfxc7S2217AX3x7RgW5WW6fcbqKcnp4OACguLjZKMKR9p/NbVscZTvXJhFgluiaT3NsdL7rbQ1lDMzJtinXKcoUKNyukWL4zCzO/OoHlO7Nws0IKeQddioyZWEukchzOqUDK4EDwLPhO75h+Prh4qxq1MtP8smJI7SbKmzZtAgAsWrTIKMGQ9p3Kl8DdyRYRfj1zgSSEmBe6JpO8CincnWzhze9exwuNvt7O4HE5yDPBzhclNY1I+PwY0q8IUSSRIf2KEAmfH0NpTaPO7buaWHfHnstlUKoZTLPQsguNsf18oGaA4zetr01cuzXK7u7ueOaZZ1BSUoIFCxbc8/xXX31lsMDIvU4XVOGBPp5Un0yIlaJrMskTSRHuy++xPvr2Njz09nIyuRHl9haJWv17DqbfF4hcsRRujrbwcLKDn4s9XB1tkfR/f2r3KZLIcOi6GOmLRyOkmz2n27LrYikG+ruiv8D8l6xuz+Bgd7g42ODojQokRPmzHY5RtZsob9y4EdnZ2Xj11VfxzDPPGCsmokNZTSNuVckwd2QftkMhhLCErsnWjWEY3BDXY/Kgnk1Uwn35Jpcot7dI1HVhHWobffHJ/hztYwvHhSFPXN/m6qurZ0T36LwUaZMClQ3NGB3ug0B3hx57XVNlw+NiVJg3jtyoAMMwVrXgWbuJsp2dHQYPHoz//e9/8PT0RGNjIxwdqZWWsUmbFJBI5Vg4LgwPhlF9MiHWiq7J1k3S0IwamaLH24OG+7og85oYzUo17GxMY46/ZpGoIonsnucGBrhicpQASTEBqG1UoFrWDC6Hg+e/P6fztTSrr/ZEoixXqFBS04g1+3OQXV6H/gIXpAwJgFyhsujVO4GWOuX0K0LkiaUIt6ISUL3eEUVFRUhISMDkyZMBANevX8c777xjyLgIWtdb/XPbReSJ62HD4xq03ooQYvrommydtBP5eqg1nEa4Hx9KNYNCiel0vuA72OIf48LaXSTKwZYHP1cH9Be4IsDNoc3VVyMErth/RYiLt6q7HdfdddP7r4owZd2fbdZNW5Ixt5eztrbuF3olyh9++CE2b94Md3d3AED//v1x7pzub26k5+h6Q7Y3kYEQYh3ommyd8m63huupjhcamlZzmkTcFIjrm/DN0XxsfyEWCVEC9PFyQkKUAOmLR+tcJKq91VcXjw/D1jPFmPblCby07SKKq+4dpdaHtEmBNb/rrptek5Fjsu3rekqguyPCfPmUKLfF3791TRSXaxq3ZyxVexMZrOENSQhpH12TrU+uWAoXexv4udr36OuG+vDB4fzdo9kUrM/Mw76/yuHpbIfVM6KxY0EsVs+IRogPv80SB83qq3cn1qE+fOxYEItFcWE4kC3E+P8cwYe/XWvV6qy9lnK5onqsz8zFkRsVyBbqrpvWlHdYurH9fHC6oAqNzZb/s2rotTKfv78/Lly4AA6HA4VCge+//x6hoaGGjs2qtTeRoSfrrQgh5oeuydYpVyRFmF/PdbzQcLDloZen6XS+KJI0YNuZW3j0gWAEezoBgF6fd+2tvmoPYGl8BB4f3hufHsjB18fysf1cMVbPiEaoDx9rMlpqjgf6u2LZxAgwaga7L5Xi9ytC3KxoKUl5PzkSAwQubdZNO9pZdo0yADw80A8OtjwUVTUgyN3RKvIQvRLld955Bx988AFEIhFGjx6NUaNG4a233jJ0bFato4kM1vCGJIToRtdk65QrlmJchI9BXjvcl488Eym9+PTADdjyuFgUF96l/fkOtm0mcAI3B6yeGYO5I/viqyN5cHeyQ8K6Y/e0lPvh2eHYfbEUfb2dMXdkH8RHCuDn6oCRYd74I6ei1d3eO+umLZlcoYIv3x554nq88EOZ9ktFkLujRU9k1CtR9vT0xH/+858uHUClUmHGjBnw8/PDxo0bUVxcjKVLl6KmpgaRkZFYvXo17Ox6pnG6JdHUWx26LrbKNyQhpG3duSYT81Td0IxKqbzHJ/JphPu54MiNCihVatjw2CvjuVpWi7RLZVg4LhS+roZruzYwwBUfTovCsh2XdZY4/vd4AX5dOAreLq3LXDTlHWsycpBdVoeBAa5YFh+hs27a0pTUNOr8UmHIPtWmQK93g1AoxMKFCxEbG4vY2Fi89NJLEAqFeh3g7luCa9aswdy5c3HgwAG4urpi586dXYvcCgS5OyJ14YOYGNnxRAZCiPXozjWZmKe8ip5duvpuUYGumD8mFKU1jazOgflkfw7cHG0xf4zhS4kaFWpcE+quy75WXgcGzD2P31neoU/dtKWw5nlTeiXKK1asQFxcHI4dO4Zjx45h3LhxWLFiRYf7CYVCHD58GDNnzgTQ0iz91KlTmDhxIgBg2rRpyMzM7Eb4ls3eloft54oRGeCK7S9YzxuSENK+rl6TifliGAYfz4hGhKDnE2W5QoVQHxfkievx1LdnjLL0sy6n8iU4nFOBfzwUCjdHw9811ZQ46tJRiSPfwRY+Lg5WUaML6DdvylLplShXVVVhxowZsLGxgY2NDaZPn46qqqoO9/vwww+xfPly7Wzs6upquLq6wsampeJDIBBAJBJ1I3zLplSpsftiKQorG+Draj1vSEJI+7p6TSbmR9NPf/OfBfjycB7e35vd40lsSU0jpv7fn9h/VYQiiQzpV4RGb0XKMAxW/34dAlcHPG2kFWjbaylHJY6tdedLhbnTK1F2d3dHWloaVCoVVCoV0tLStP072/LHH3/A09MTgwYN6ok4rdLZwmrUyBSYMNCP7VAIISakK9dkYp40/fQNlcSayi31A9kiXLhVgyUPh8PBiHdN22opRyWOrVnzlwq9JvN9+OGHeP/99/HRRx+Bw+FgyJAhWLVqVbv7XLhwAYcOHcLRo0chl8shlUrxwQcfoK6uDkqlEjY2NhAKhfDzoySwLQeyRbCz4WpXwyGEEKBr12RifjpKYlfPiO72nUZTaEWqUjP4ZH8OQrydMXNokEGPdbf2WsqR1u6eyNhf4IrnRveFj0vP9vU2NXolyuvWrcPHH38MNzc3AEBNTQ0+/vhjfPTRR23u88orr+CVV14BAJw+fRrffvst/vOf/2DRokXYv38/EhMTsXv3bsTFxfXAj2F5GIZBRrYQo8K84Wyv12kihFiJrlyTifkxRhJrCq1Id18sRa5Yii+fuI+1jhvttZQjLe7+UlHV0Iynvj2DpRP6YfawXmyHZzB6/UXm5ORoL8hAy22/a9eudemAy5cvx3//+19MmDABNTU1mDVrVpdex9JdF9ajpLoR8VR2QQi5S09ek4npMkZdKNu31JsUKnx24Aaig9wweZDAoMciPUMzkbGfnws8ne3xzbECMMy9HUIshV5DlWq1GrW1ta1GL1Qq/ScSDB8+HMOHDwcABAcHU0s4PWRcFYHDAcYPoESZENJad6/JxDwYq5/+3bfUIwSuWPJwuFHqdLeevoXSmkasnhnd4ysOEsPicDh4fnRfLN1+GUdzKzHWQstE9UqUn3nmGcyePRuTJk0CAPz+++9YsGCBQQOzdgeuCXFfLw+Lr/0hhHQeXZOtR5C7I3YsiMUXf9xEjtAwC1zceUtdplAh7WIpVqVfw3fzHuixY+hS36TAF3/kYVSYNx4M8zbosYhhTIkOwKr06/jmWL51J8opKSkYNGgQTp06BQD4v//7P4SFhRk0MGtWWtOIK6V1eG1yf7ZDIYSYILomWw97Wx6+OnwTD4Z6YWVKpEEnm2nqdF0cbHHkRiVO3JQYNIH95lgBqhqasXxihMGOQQzLzoaLp0f2wSf7c3Bd2DLBz9LoPUssLCyMLsRGcjC7pbc01ScTQtpC12TrcaawCnwHGzxlpP7CKUMC8Z8DN/DVkZsGS5QrpXJ8cywfCVECxAS7G+QYxDieGN4L/3coD5uPFeCTWTFsh9Pj2FvQnbQpI1uIUB9ni147nRBCSMcqpXJUSpvRz88wS1fr4mDLw7wH++BYbiWultX26GtLmxSoqJfjXGEV3Jxs8Uo8jSabO3cnO8wcGoS0S2UQ1zexHU6Po0TZxNTKFDidX4X4SJr9Swgh1u6GqB4ADLJ0dXueGN4bznY8bDqa3yOvp1lhcPnOLMz86gR2XyzFV08ORRAt7GERnhnVFwq1Gj+eLGI7lB5HibKJ+SNHDKWaodX4CCGEIFckBQCjjigDgJujLR4f3gt7s8pRXHVvj+XO0qwwmH5FiCKJDPuvijDrq5NGXSabGE5fb2c8PMAPP5wqQmOzZXXgoUTZxBzIFsHHxR6Dg9zZDoUQQgjLckT1cHO0hS8LHZCeGdUXHACb/yzo1uuYyjLZxLCeG9UX1TIFdl0sYTuUHkWJsgmRK1U4nCPGwwP8wOVSP0lCCLF2uaJ69PPjs9Jj2N/NEcmDA/Hz2WJUNzR3+XX0WWGQmL8H+noiKtANm/8sgFptOQuQUKJsQk7clKChWYX4SCq7IIQYxooVKxAbG4spU6ZoH6upqcG8efMQHx+PefPmoba2ZQIXwzBYuXIlJkyYgKSkJFy9epWtsK0SwzDIEdYbveziTvPHhKBRocIPp7pee2qMFQYJ+zgcDp4b3Rf5FQ04fEPMdjg9hhJlE5JxVQRnOx5GhnqxHQohxEJNnz4d33zzTavHNm3ahNjYWGRkZCA2NhabNm0CABw9ehSFhYXIyMjA+++/j3feeYeFiK2XqE6Ouial0Sfy3SlC4IK4/r747kQhmro48st3sMVLcWGsLZNNjCchyh/+bg745lj3ynVMCSXKJkKtZnDwmggPRfjC3oa+XRNCDGPYsGHapa81MjMzkZKSAqBlMZODBw+2epzD4WDw4MGoq6uDWGw5I0WmTtPxItyXvUQZAF4YE4KqhmbsON+12tMrpbXYcPgm/jd/BBKiBOjj5YSEKAHSF482yjLZxHhseVzMHdkHJ25Kery1IFsoUTYRl0pqUFEvp24XhBCjk0gk8PX1BQD4+PhAIpEAAEQiEQSCv1tVCgQCiEQiVmK0RppEuZ8fuz31H+jricHB7vj6aD5Unaw9rW5oxoIfz+NcUTV6ezlh9Yxo7FgQi9UzohHiw4e9LQ0MWZpHH+gFZzseNlvIqDIlyibiQLYINlwOxkX4sh0KIcSKcTgcViaOkXvlCOvhzbeHF9/4HS/uxOFwsGBsCG5VyfD7FaHe+6nUDBb/fAniOjk2PDkUns724DvYwsfFwWDLcBP2uTna4pFhwfj1chmEtea/AAklyiYi46oQw0M84eZEFw9CiHF5eXlpSyrEYjE8PT0BAH5+fhAK/06MhEIh/Pzorpex3BBLWR9N1pgwUIC+3s746shNMIx+o8prD97A0RsVeGdqJAbTMtVWZd7IvlAzDL4/Wch2KN1GibIJuFkhxc2KBsQPpNX4CCHGFxcXh9TUVABAamoqxo8f3+pxhmFw6dIluLi4aEs0iGGp1czt1nDs1idr8LgcPD86BH+V1uJkvqTD7Q9mi7D+UB5mDQ3CYw8EGyFCYkp6eTlhYqQAW0/fgqxZyXY43UKJsgk4kN1S8/cw1ScTQgxs6dKlePTRR1FQUIAxY8Zgx44dmD9/Po4fP474+HicOHEC8+fPBwCMHTsWwcHBmDBhAt588028/fbbLEdvPUprGiFrVrHa8eJu0+8LhDffDl8daX9Z68LKBry8/RIGBbri/ZRBVMpjpZ4b3Re1jQrs7OIkUFNhw3YApCVRHhToSrN/CSEG9+mnn+p8fMuWLfc8xuFwKDlmialM5LuTgy0P8x7si0/25yC7rA4DA+7tjSxrVuKFH86Dx+VgwxND4UCT9azWfb08MDjYHd/+WYAnhvcGz0wXUqMRZZZV1Mtx4VY1JgygsgtCCCEtcjSt4Uyk9ELjyeG94WTHw6ajN+95jmEYvPbLX7ghrse6R4cg2NOJhQiJqeBwWsp1GhUqZJfVoqJebpbLldOIMssyr4nAMKDV+AghhGjliqTwd3OAq4l1h3BzssVjD/TCdycKsWxiBII8/k6GvztRiF8vl2H5xAiM6efDYpTEVIyL8Iaf6334vz/ycF1Yj4H+ri1/N+6OZtMakEaUWZaRLUKQhyP6m1AdGiGEEHaxvXR1e54Z1RccAJv//LtP7tnCKnyw7xoeHuCHF8eGshccMSnldXI88c1p7L8qQpFEhvQrQiR8fgylNY1sh6Y3SpRZ1CBX4s+8SsQPFNBkB0IIIQBa+g/nVUhNaiLfnQLdHTE1JgCHrolRWS9HSbUMZwqqMKSXOz6dHQOumdaikp4lbVJgzf4cyJXqVo/LlWqsycgxmzIMKr1g0dEbFWhWqmk1PkIIIVpFkgY0K9UI9zWdiXx3e2l8GCrqm/FG6l+4LqxHf4ELPpgWBXsejb+RFo0KNbLL63Q+l11Wh0aFyiwWnqFEmUUHskVwd7LFsD4ebIdCCCHERGg6XpjqiDIAqBlgzubT2tHCIokMh3MqkL54NEJ8TDfBJ8bjaMvFQH9XFElk9zw3MMAVjnZUo0zaoVCpkXldjLj+vrChb+CEEEJuyxFKweEAYSY6omwpt9SJYfEdbLFsYgTsbVrnOPY2XCyLjwDf3vRHkwFKlFlztrAKtY0KWo2PEEJIKzfE9Qj2cIKTnWne9NXnljohABDk7oj0xaORECVAHy8nTIoU4MfnhsPZRP+2dTGfSC1MxlUR7G24GNPPm+1QCCGEmJAbJtzxArCcW+rE8OxteQjx4WP1jGg0KlRQKBnM3nQSQ3p5YN1jQ9gOTy80oswChmFwIFuE0eHeJjtiQAghxPialWoUVDYgQmCaZReA5dxSJ8bDd7CFj4sDAjwcMf2+IPx6uQwnb0rYDksvBkuU5XI5Zs6cialTpyIxMRHr1q0DABQXF2PWrFmYMGEClixZgubmZkOFYLKyy+tQWtNI3S4IIYS0UlDZAKWaMekRZeDeW+oJUQKkLx6NQHdHtkMjJu7Fh0IR5OGIt3+9AoVK3fEOLDNYomxnZ4ctW7bg119/RWpqKo4dO4ZLly5hzZo1mDt3Lg4cOABXV1fs3LnTUCGYrAPZInA4wPgBlCgTQgj5m2bpalNPlO+8pb5jQSxWz4hGiA/fbFZbI+xxsOXhrSkDcUMkxfcni9gOp0MGS5Q5HA6cnZ0BAEqlEkqlEhwOB6dOncLEiRMBANOmTUNmZqahQjBZGVdFGNrLA958e7ZDIYQQYkJyRfXgcTkI8XFmOxS9aG6pm0M/XGI6Jgz0w0MRPlh74AbE9U1sh9Mug9Yoq1QqJCcnY+TIkRg5ciSCg4Ph6uoKG5uWulyBQACRSGTIEExOSbUM2eV1iI+k0WRCCCGt5Qjr0cfLCfY2NDJLLBeHw8HbSZGQK9VY9dt1tsNpl0ETZR6Ph7S0NBw5cgRZWVnIz8835OHMwoHsli8GE6gtHCGEkLvcENWb9EIjhPSUvt7OeH5MX+y6WIqzhVVsh9Mmo3S9cHV1xfDhw3Hp0iXU1dVBqVQCAIRCIfz8rGtk9UC2COG+fPT1No/baoQQQoyjSaFCUZUM4b6UKBPrsHBcGALcHPBm6hUoTXRin8ES5aqqKtTVtTQkb2pqwokTJxAaGorhw4dj//79AIDdu3cjLi7OUCGYnBpZM04XVFHZBSGEkHvkiaVgGNNeupqQnuRkZ4N/TxmI68J6bD19i+1wdDJYE1+xWIzXXnsNKpUKDMNg0qRJGDduHMLCwvDyyy9j7dq1GDBgAGbNmmWoEEzOHzliqNQMlV0QQgi5xw0z6XhBSE+aPEiAUWHeWJORg8Rof5NrdGCwRLl///5ITU295/Hg4GCrbAkHtHS78HO1R3SgG9uhEEIIMTE5onrY8bjo4+XEdiiEGA2Hw8E7UyMx+fOj+Dj9Oj6ZFcN2SK3QynxG0qRQ4ciNCjw8wA9cLoftcAghhJiYG8J6hPg4w4ZHH83EuoT58vHMqL7Ycb4EF25Vsx1OK/RuNJITNysha1YhPpLKLgghhNzrhkhK9cnEar0UFw4/V3u8lXYFKjXDdjhalCgbScZVEfj2NhgR4sl2KIQQQkxMfZMCpTWNVJ9MrBbf3gZvJA7EldI6pF4shbRJgYp6OaRNClbjMliNMvmbSs3g4DURHorwoSbyhBBC7pErlgKgiXzEuiVF+yNXVI9eXk5YviML2cI6DPR3xbKJEQhyd2RliXRKlI3gUnE1KqXNmDCQ2sIRQgi5V6624wWf5UgIYQ+Hw0FSTACS1v8JubKlr3KRRIZD18VIXzwaIT7Gf39Q6YURZGSLYMvjYFx/X7ZDIYQQYoJyhFI42HIR7EEdL4j1kjYp8NmBG9okWUOuVGNNRg4rZRiUKBvBgasijAjxgquDLduhEEIIMUE3RPXo5+dCXZGIVWtUqJFdXqfzueyyOjQqVEaOiBJlg8sTS5Ff2YB4KrsghBDShhuielq6mlg9R1suBvq76nxuYIArHO2MX6NMibKBZWQLAQAPU6JMCCFEhxpZM8T1ckQIqD6ZWDe+gy2WTYyAvU3r9NTehotl8RHg2xv/zjxN5jOwA9kiRAe5wd/Nke1QCCGkXXFxcXB2dgaXywWPx8OuXbtQU1ODl19+GaWlpQgMDMTatWvh5kari/akGyLqeEGIRpC7I9IXj8aajBxkl9UhQuCKlx8OR6A7O3kUjSgbkLiuCRdv1WDCABpNJoSYhy1btiAtLQ27du0CAGzatAmxsbHIyMhAbGwsNm3axHKElidH2/GCEmVC7G15CPHhY/WMaGx/IRb39XbHyn3XYMvSipWUKBvQwWtiAKDV+AghZiszMxMpKSkAgJSUFBw8eJDdgCzQDWE9XOxt4O/mwHYohJgMvoMtfF0dIHB1wJ95ldj7VzkrcVCibEAZ2UL08nSivpiEELPx7LPPYvr06fj5558BABKJBL6+La0tfXx8IJFI2AzPIt0Q1aOfwAUcDnW8IORuSdEB6C9wwacZOVCo1B3v0MMoUTYQqVyJE3kSxA/0o4sfIcQsbNu2Dbt378bXX3+NrVu34uzZs62e53A4dD3rYQzD3G4NRwMqhOjC5XLwSnwECiUy7DxfYvzjG/2IVuJITgWaVWpajY8QYjb8/FquV15eXpgwYQKysrLg5eUFsbiljEwsFsPT05PNEC1OhVSOapmC6pMJacfDA3wxpJc7Pj+YiyYj91KmRNlADmQL4elsh6G9PdgOhRBCOiSTySCVSrX/f/z4cYSHhyMuLg6pqakAgNTUVIwfP57FKC1P7u2OFxGUKBPSJg6Hg+UTIyCsa8KPp4qMemxqD2cACpUah66LER8pgA1LszQJIaQzJBIJFi5cCABQqVSYMmUKxowZg6ioKCxZsgQ7d+5EQEAA1q5dy26gFiZH2NLxIpwSZULaNTLUG6PDvfHFH3mYPSwYLkZa7ZgSZQM4U1CFuiYlrcZHCDEbwcHB+PXXX+953MPDA1u2bGEhIuuQK66Hp7MdvPl2bIdCiMlbFh+B5C+OY/OfBVjycD+jHJOGOw0g46oQDrZcjA73YTsUQgghJixHWI9wXz5NkiREDzHB7pgUKcA3xwpQ1dBslGNSotzDGIbBgWwRRof7sLImOSGEEPPAMAxyRVJECKjsghB9vRLfD7JmJTYczjPK8ShR7mFXy+pQVttE3S4IIYS0q7y2CfVyJXW8IKQTwv1cMG1IELacLEJ5baPBj0eJcg/LyBaBywHG9/dlOxRCCCEmjJauJqRrljwcDoZhsC7T8KPKlCj3sIyrQtzf2xNefHu2QyGEEGLCbgg1iTItNkJIZwR7OuHxB3ph+7liFFY2GPRYlCj3oOIqGa4L6xEfSWUXhBBC2ndDJIWfqz3cnajjBSGdtTAuDHY8Lj47eMOgx6FEuQdlZIsAgOqTCSGEdKhl6WoquyCkK3xdHDDvwT749XIZrpXXGew4lCj3oAPZQkT4uaC3lzPboRBCCDFhajWDXDElyoR0xwtjQsG3t8F/MnIMdgxKlHtIdUMzzhRU0WgyIYSQDhVXy9CkUNPS1YR0g5uTLRaMDcVfpbXIE9ejol4OaZOiR49hsJX5ysvL8eqrr0IikYDD4eCRRx7B008/jZqaGrz88ssoLS1FYGAg1q5dCzc3N0OFYTSHrouhZkD1yYQQQjr099LVNJGPkO6YM6IXhvf1xCf7c3BdWI+B/q5YNjECQe6OsLft/noWBhtR5vF4eO211/Dbb7/h559/xk8//YS8vDxs2rQJsbGxyMjIQGxsLDZt2mSoEIwqI1sIgasDogLNP+knhBBiWLliKYCWnrCEkK6rkDbjiW9OY/9VEYokMqRfESLh82MoremZHssGS5R9fX0RGRkJAODz+QgJCYFIJEJmZiZSUlIAACkpKTh48KChQjCaJoUKR29UYsJAP1qGlBBCSIdyhPUIdHcE395gN3YJsXjSJgXW7M+BXKlu9bhcqcaajJweKcMwyju0pKQE165dQ0xMDCQSCXx9Wxbj8PHxgUQiMUYIBvVnbiUaFSqqTyaEENIhaZMCEyP9MCrci+1QCDFrjQo1stvoeJFdVodGhQp8B9tuHcPgiXJDQwMWLVqE119/HXx+61osDodjESOwB7JFcLG3wYgQuugRQgjRTa5QoaSmEWv25yC7vA4DBC4Y2tuzx2opCbE2jrZcDPR3RZFEds9zAwNc4WhnwjXKAKBQKLBo0SIkJSUhPj4eAODl5QWxWAwAEIvF8PT0NGQIBqdSMzh4TYSH+vvCzoaaiBBCCNGtpKYRCZ8fQ/oVIYokMvx+VdSjtZSEWBu+gy2WTYyA/V35l70NF8viI8C3795oMmDARJlhGLzxxhsICQnBvHnztI/HxcUhNTUVAJCamorx48cbKgSjuHirGpKGZsRT2QUhhJA2GKOWkhBrFOTuiPTFo5EQJUAfLyckRAmQvng0At0de+T1DVZ6cf78eaSlpaFfv35ITk4GACxduhTz58/HkiVLsHPnTgQEBGDt2rWGCsEoMrJFsOVx8FCED9uhEEIIMVHGqKUkxBrZ2/IQ4sPH6hnRaFSo4GjL69H3ksES5fvvvx85ObpXStmyZYuhDmtUDMMg46oQsaHecKELHCGEkDYYo5aSEGvGd7A1yJdNKqrthjyxFIUSGXW7IIQQ0i5j1FISQnoeJcrdkJEtAgBMGECJMiGEkPYFuTvi5xdGYGKkYWopCSE9jzqdd5G0SYEQH2e8OzUSAjcHtsMhhBBi4mobFXjxx/N4PyUKMUFuPV5LSQjpeZQod5K2D+bvOcgWtvTBHBXuTX0wCSGEtGvXxVKU18oR4u0MHxcaYCHEHFCi3EmaPpiaFj9FEhn+yKlA+uLRCPHhd7A3IYQQa8QwDHacK8bQ3h70WUGIGaEa5U6gPpiEEEK64mJxDW5WNGDW0CC2QyGEdAIlyp2gTx9MQggh5G47zpXAwZaLxGh/tkMhhHQCJcqdoOmDqQv1wSSEEKJLY7MKey+XIWGQP/XcJ8TMUKLcCQyA50b3pT6YhBBC9Pb71XLUy5WYeT+VXRBibmgyn57UagYv/3wJ9jZc/PrPB/F5Zi6yy+owMMAVy+IjqA8mIYQQnXacK0GwpyNG9PViOxRCSCdRoqyn9YfycPCaGO9OjUSEwNVga4oTQoipOXr0KD744AOo1WrMmjUL8+fPZzsks1FcJcOJmxK8/HA/cLkctsMhhHQSlV7oIfOaCJ8dvIEZ9wXhqdjeAFqWI/VxcaAkmRBi0VQqFd577z1888032LdvH/bu3Yu8vDy2wzIbv1woAYcDzBgayHYohJAuoES5A/kVUiz53yUMCnTFB9MGgcOhEQFCiPXIyspC7969ERwcDDs7OyQmJiIzM5PtsMyCWs1g5/kSjAz1QpCHE9vhEEK6gBLldkjlSsz/4Txsbbj46smhcKCV9wghVkYkEkEgEGj/7efnB5FIxGJE5uNUgQQl1Y2YNTSY7VAIIV1ENcptYBgGy7ZfRkFlA3549gEaDSCEENIpO8+VwMXeBhMjBR1vTAgxSTSi3IYvD9/E71eFWDG5P0aGerMdDiGEsMLPzw9CoVD7b5FIBD8/PxYjMg/1TQr8dqUcU2ICqMc+IWaMEmUdDueIsSYjB8mDA/DsqL5sh0MIIayJiopCYWEhiouL0dzcjH379iEuLo7tsEzevqxyNCnUmEW9kwkxa1R6cZciSQMWbbuI/gJXrJoeTZP3CCFWzcbGBm+99Raee+45qFQqzJgxA+Hh4WyHZfJ2nC9BqI8zhgS7sx0KIaQbKFG+g6xZiRd+OA8ul4NNc4bS7TJCCAEwduxYjB07lu0wzMbNCinOF1Xjtcn9abCFEDNHpRe3MQyDV3dm4YaoHusfG4JgT5q8RwghpPN2ni8Bj8vB9CHUO5kQc0cjyrd9fSwfe7PK8a9J/TE63IftcAghxKJJmxRoVKjhaMu1qIWbVGoGuy6UYGw/H/i6OrAdDiGkmyhRBvBnbiVWpV9HQpQAC8aGsB0OIYRYLLlChZKaRqzZn4Ps8joM9HfFsokRCHJ3hL0F9Ko/mlsBUZ0c7yTRJD5CLIHVJ8rFVTK8tO0Cwnz5+GRmDNWTEUKIAZXUNCLh82OQK9UAgCKJDIeui5G+eDRCfPgsR9d9O8+VwMPJFuMHUAs9QiyBVdcoNzar8MIP56FSM9g0534421v99wZCCDEYaZMCa/bnaJNkDblSjTUZOZA2KViKrGdUNzTjQLYIyYMDYWdj1R+vhFgMq30nMwyDFbuycE1Yh88fHYI+3s5sh0QIIRatUaFGdnmdzueyy+rQqFAZOaKelXapFM0q6p1MiCWx2kT5v8cLkXqpDEsf7odx/X3ZDocQQiyeoy0XA/1ddT4XIXDFiTwJzhdVgWEYI0fWM3acL8FAf1dEBrixHQohpIcYLFFesWIFYmNjMWXKFO1jNTU1mDdvHuLj4zFv3jzU1tYa6vDtOnlTgg9+u4b4gX5YOC6MlRgIIcTa8B1ssWxiBOzvKkuwt+Fi4bhQrMvMxYwNJzH582PYeroIDXJlq+2kTQpU1MtNskQju6wOV8vq8AiNJhNiUQyWKE+fPh3ffPNNq8c2bdqE2NhYZGRkIDY2Fps2bTLU4dtUVtOIf/50AX28nPCfR2LA5dLkPUIIMZYgd0ekLx6NhCgB+ng5ISFKgPTFoxHh54JfXxqFD6dFgcPh4I3dVzD8w0y8lXYFhZIG3KyQYvnOLMz86gSW78zCzQop5CZUqrHjfDHseFwkD6beyYRYEoPNXhs2bBhKSkpaPZaZmYkffvgBAJCSkoI5c+Zg+fLlhgrhHk0KFRb8eB5ypRob59wPFwvq3UkIIebA3paHEB8+Vs+IRqNCBUdbnraPsj2Ax4f3wmMPBOPCrRr8eKoIf1wXY0p0AOZsPm2ynTJqG5sRFeiGVTMGwcPZju1wCCE9yKhtHiQSCXx9W+qBfXx8IJFIjHZshmHw79QryCqpxaY5QxHmy/7FlRBCrBXfwbbNhUY4HA6G9vbA0N4eqKhvwr9Tr7TZKWP1jGjWFizR9IT+5PfruCasx0CBK2KCPSymJzQhhMU+yhwOx6g9i388VYSd50uwaHw44iMFRjsuIYSQ7uDgurBe5zOaThlsJco6e0LnmM5INyGk+4za9cLLywtisRgAIBaL4enpaZTjni2swrt7shHX3xdLxocb5ZiEEEK6r8NOGTclKKtpNHJUlt8TmhDSwqiJclxcHFJTUwEAqampGD9+vMGPKaxtwos/XkCQhyM+mz2YJu8RQogZaa9Txj/jwrBmfw7GrTmM/2Tk3NMlw5DqmpQW3ROaENLCYIny0qVL8eijj6KgoABjxozBjh07MH/+fBw/fhzx8fE4ceIE5s+fb6jDAwDkShVe3HoesmYlNj11P9wcafIeIYSYm7Y6ZfTz5WPb/BGYNEiA9Yfy8NCaw9h+thgq9d99mA3RUu5cYRXSLpWiv8BF5/MDA1zhaEc1yoRYAoPVKH/66ac6H9+yZYuhDnmPd37NxsVbNdjwxH3o56f7gkYIIcS0tdcpI8jDCZ8/OgRPj+yDlXuz8eovWfjviUKsnhEFJ3sbrNmfg+zyOgz0d8WyiRHdmminVjP4+lg+Vu/PQUyQGz6aHo3DORWtyi/sbbhYFh8Bvj0NzBBiCVibzGdo287cwrYzt/DiQ6GYHOXPdjiEEEK6qb1OGff18sAvL47E3qxyfHMsH40KNWZ+dazHWsrVyJrxyvbLyLwuxuRBAnw8Mxr2PC7SF4/GmowcZJfVYWCAK5bFRyDQ3bFbPychxHRYZKJ84VY13k67itHh3lgWH8F2OIQQQoyAw+EgKSYAo8O98a9fsnqspdyFW9V46aeLENc34d2pkXgqtre2a1NbI92EEMtgMYmytEmBRoUaDMPgrdQr8HOzx/rHhoBHk/cIIcSqKFRMuy3lCiQNCPHmw9n+3o9AzWeJoy0XzvY22PxnAValX4e/uwN+eXEkooPc79mnvZFuQoh5M/tEWdPwXVOH1l/ggreTIuHNt4O7E62QRAgh1kbTUq5IIrvnuQiBK36/IsLmP08irr8vpkQHYFyEL7gctPosGejvihfGhuJ8UTXGD/DF6pkxNCGcECtk9omyrobvh3MqkL54NMuREUIIYYOmpdyh6+J7Jtq9OikCdY0K1Dcp8Ntf5fjtLyH6eLVMCHxk48l7app3/WMkBvq7GnWBLEKI6TDrRLmjhu9sLm1KCCGEPZqWcrom2tn78DGklwfeTorE6XwJqmUKfHk4T+dnyRd/5NFnCSFWzKwT5UaFusOG73RxI4QQ69NeSzkNHpeDkWHeqKiXY/X+6zpfhz5LCLFuRl2Zr6e1t7QpNXwnhBDCd7CFj4tDu4kufZYQQtpi1olye0ubUsN3Qggh+qDPEkJIW8w6UQbaXtqUGr4TQgjRF32WEEJ0MesaZUC/OjRCCCGkPfRZQgjRxewTZQ1q+E4IIaS76LOEEHInsy+9IIQQ0j3r16/H6NGjkZycjOTkZBw5ckT73MaNGzFhwgRMnDgRx44dYzFKQggxPosZUSaEENJ1c+fOxbPPPtvqsby8POzbtw/79u2DSCTCvHnzsH//fvB41AWCEGIdaESZEEKITpmZmUhMTISdnR2Cg4PRu3dvZGVlsR0WIYQYDSXKhBBCsHXrViQlJWHFihWora0FAIhEIggEAu02fn5+EIlEbIVICCFGR6UXhBBiBebOnYvKysp7Hl+yZAkee+wx/OMf/wCHw8Hnn3+OVatW4aOPPmIhSkIIMS0mlyirVCoAgFAoZDkSQgjpPM21S3MtMxXfffedXtvNmjULCxYsANAygnzntVgkEsHPz++efei6TQgxVx1ds00uUa6oqAAAPPHEEyxHQgghXVdRUYHevXuzHYZexGIxfH19AQAHDx5EeHg4ACAuLg6vvPIK5s2bB5FIhMLCQkRHR9+zP123CSHmrq1rNodhGIaFeNrU1NSEK1euwMfHh2ZWE0LMjkqlQkVFBQYNGgQHBwe2w9HL8uXLcf36dQBAYGAg3nvvPW3ivGHDBvzyyy/g8Xh4/fXXMXbs2Hv2p+s2IcRcdXTNNrlEmRBCCCGEEFNAXS8IIYQQQgjRwawS5QEDBmhXjkpOTkZJSUmb286ZMwd//fWXXq8bERGBZcuWaf+tVCoxYsQIvPDCC92OGQCGDBnS7vMHDx5EREQEbt682enXfuONN5CXlwegpZ6wqqqqw30M/fPeqaOf3VA6Om5n/j460p3z1xkbNmxAYmIikpKSkJycjMuXL3f6NU6fPo0LFy50ah+hUIgXX3wR8fHxePjhh7Fy5Uo0Nze3uf13332HxsbGTscWERGBVatWaf+9efNmrF+/vtOvoy/N9SQxMRFTp07Ft99+C7VabbDjkb+tWLECsbGxmDJlit77lJeXY86cOUhISEBiYiK2bNnS7vZyuRwzZ87E1KlTkZiYiHXr1ul1HJVKhZSUFL2vh3Fxcdr35PTp0/Xap66uDosWLcKkSZMwefJkXLx4sc1t8/PzW33u3XfffXpNzPzuu++QmJiIKVOmYOnSpZDL5e1uv2XLFkyZMgWJiYltvr6u81ZTU4N58+YhPj4e8+bN07YWbG+f9PR0JCYmon///vdch3Vt//HHH2PSpElISkrCwoULUVdX1+E+a9eu1Z6XZ5555p62hu39DX777beIiIho9Xmqa/v2VrRs7xg//PADJk2ahMTERKxevbrd7ZcsWaJ9/bi4OCQnJ3d4jGvXruGRRx7R/k3e3ftc1z7Xr1/H7NmzkZSUhAULFkAqlWqfa+u919a5b2v79s57W/u0d+7b2qejc99pjBkZPHiw3ts++eSTTFZWlt6vO3XqVKaxsZFhGIY5fPgwM3XqVGb+/Pl6H0+hULT7+u1ZvHgx89hjjzGff/653sdjGIZRKpWt/j1u3DhGIpF0uF9P/Lz66sw5M+ZxO/P30ZGunr/OuHDhAvPII48wcrmcYRiGkUgkjFAo7PTrrFu3jvnmm2/03l6tVjMzZsxgdu7cyTBMy9/cihUrmFWrVrW5j75/h3cbNGhQq32/+eYbZt26dZ1+HX3d+TdSWVnJPP300wY9h+RvZ86cYa5cucIkJibqvY9IJGKuXLnCMAzD1NfXM/Hx8Uxubm6b26vVakYqlTIMwzDNzc3MzJkzmYsXL3Z4nG+//ZZZunSp3tfDrvy9v/rqq8z27dsZhmEYuVzO1NbW6rWfUqlkRo4cyZSUlLS7nVAoZMaNG6e9xi9atIj55Zdf2tw+JyeHSUxMZGQyGaNQKJinn36aKSwsvGc7Xeft448/ZjZu3MgwDMNs3LiRWb16dYf75OXlMTdv3tR5Hda1/bFjx7SfsatXr9brGPX19dr/37JlC/Pmm292uA/DMExZWRnzzDPPMA899FCr86pr+46up7r2OXnyJPP0009rr+WVlZUdxqTx0UcfMevXr+/wGPPmzWMOHz7MMEzL5/uTTz7Z4T7Tp09nTp8+zTAMw+zYsYP57LPPtM+19d5r69y3tX17572tfdo7923t09G57yyzGlHW5cqVK3jyyScxffp0PPvssxCLxdrn0tLSkJycjClTpnS4mtTYsWNx+PBhAMC+ffuQmJiofS4rKwuzZ89GSkoKHn30UeTn5wMAdu3ahQULFuCpp57C3Llz0dDQgBUrViApKQlJSUnYv3+/9jU+++wzTJ06FY888kirXqYNDQ04f/48PvjgA+zbtw9Ay6jfE088gfnz52PixIl46623tCNdQ4YMwapVqzB16lRcvHixyyOjXfl5n3jiCVy7dk273WOPPaadANSe06dPtxqdee+997Br1y4ALaMx69atw7Rp05CUlKQdlZXJZFixYgVmzpyJlJQUHDx4sNM/Y3vH1di5cyc++OAD7b+3b9+ODz/8UO9jtHX+2jrukSNHMGnSJEyfPh0rV67Ue9SqoqICHh4esLOzAwB4enrCz8+vzb//OXPmYOXKla3+/ktKSvC///0P3333HZKTk3Hu3LkOj3vq1CnY29tjxowZAKCd0LVr1y7IZDJ8/PHHmDJlCpKSkvDDDz/g+++/h1gsxtNPP405c+bo/XsEABsbG8yePVvnSGFJSQmeeuopJCUl4emnn0ZZWRnq6+sxbtw47XtDJpNh7NixUCgUnTouAHh5eeH999/H1q1bwTAMVCoVPv74Y8yYMQNJSUn43//+p91206ZNSEpKwtSpU7FmzZpOH4sAw4YNg5ubW6f28fX1RWRkJACAz+cjJCSk3ZEiDocDZ2dnAC13zZRKJTgcTrvHEAqFOHz4MGbOnNmp2Dqjvr4eZ8+e1R7Dzs4Orq6ueu178uRJBAcHIzAwsMNtVSoVmpqaoFQq0dTUpJ2cqcvNmzcRHR0NR0dH2NjYYNiwYcjIyLhnO13nLTMzEykpKQCg81qta5/Q0FCEhITojEXX9qNGjYKNTUuTrsGDB9/ThlDXPnw+X/v/jY2N95z7tv4GP/roIyxfvlzv7duja59t27Zh/vz52mu5l5eXXsdgGAbp6en3jE7r2ofD4aChoQFAy9/b3ede1z6FhYUYNmwYAODBBx9sdf7beu+1de7b2r69897WPu2d+7b26ejcd5ZZJcpNTU3aWxALFy6EQqHAypUrsW7dOuzatQszZszAZ5991mr7tLQ0vP3223j99dfbfe2EhAT89ttvkMvlyMnJQUxMjPa5kJAQbN26FampqVi0aFGrY2RnZ2PdunX48ccf8eWXX4LP52PPnj3Ys2cPRowYAaDlAzwmJga//vor7r//fmzfvl27f2ZmJkaPHo2+ffvCw8MDV65cAdCSrL755pv47bffUFxcrP2jlclkiI6O1r5WV3Xl5505c6Y24SsoKIBcLkf//v27HIOGh4cHdu/ejUcffRTffvstAOCrr77CiBEjsHPnTnz//ff45JNPIJPJun2su02ePBl//PGHNrnS/B3pq63zp4tcLsdbb72Fr7/+Grt27dKrTEbjwQcfRHl5OSZOnIh33nkHZ86c6fTff1BQEB599FHMnTsXaWlpev395Obmai9EGnw+H/7+/tixYwdKS0uRmpqKPXv2ICkpCU899RR8fX2xZcsW/PDDD3r/fBpPPPEE9uzZg/r6+laPr1y5EtOmTdMeZ+XKlXBxcUH//v1x5swZAMDhw4cxatQo2Nradvq4ABAcHAyVSgWJRIKdO3fCxcUFv/zyC3755Rds374dxcXFOHLkCA4dOoTt27fj119/xXPPPdelY5HuKSkpwbVr11pdt3RRqVRITk7GyJEjMXLkyA63//DDD7F8+XJwuZ37aHz22Wcxffp0/Pzzz3rF7unpiRUrViAlJQVvvPGG3te2ffv26VWu4ufnh2eeeQbjxo3DqFGjwOfzMWrUqDa379evH86fP4/q6mo0Njbi6NGjevfElkgk2kTMx8cHEolEr/266pdffsGYMWP02vazzz7D2LFjsWfPHixevLjD7Q8ePAhfX99Ofa7pWtGyPYWFhTh37hxmzZqFJ598Uu8l4c+dOwcvLy/06dOnw21ff/11rF69GmPHjsXHH3+MpUuXdrhPeHg4MjMzAQC///47ysvLdW5353tPn3Ov73tVn33aO/d379PZc98es0qUHRwckJaWhrS0NHzxxRcoKCjAjRs3MG/ePCQnJ2PDhg2tRhg0o6TDhg2DVCq9p67pTv3790dJSQn27t17T/uj+vp6LF68GFOmTMFHH32E3Nxc7XMPPvgg3N3dAbR827+zj6jmG5utrS3GjRsHABg0aBBKS0u129w5mpuQkKAdlYyOjkZwcDB4PB4SExNx/vx5AC0jehMnTuzcL66Hft5Jkybh8OHDUCgU+OWXX/Sux+tIfHw8gNa/mz///BNff/01kpOTMWfOHMjl8jbfuN3h7OyMESNG4PDhw7h58yYUCgUiIiL03r+t86dLfn4+goODERwcDACtRvH1iXPXrl1477334OnpiZdffhk///xzj/39d8WZM2cwe/Zs7bd9zfugO/h8PpKTk/H999+3evzixYvaBCE5OVn7ftB84QNazkVCQkK3YwCA48ePa+9IzZo1CzU1NSgqKsLJkycxffp0ODo6AuiZn5l0TkNDAxYtWoTXX3+91ciRLjweD2lpaThy5AiysrJw48aNNrf9448/4OnpiUGDBnUqnm3btmH37t34+uuvsXXrVpw9e7bd7ZVKJbKzs/HYY48hNTUVjo6O2LRpU4fHaW5uxqFDhzBp0qQOt62trUVmZiYyMzNx7NgxNDY2Ii0trc3tQ0ND8dxzz+HZZ5/Fc889h/79+3f6ywLQMpLZ3dG79mzYsAE8Hg9Tp07Va/uXX34ZR44cQVJSEn788cd2t21sbMTGjRs7lVQ99thjOHDgANLS0uDr69tqjkVbVCoVamtrsX37drz66qtYsmQJGD2aj+3du1fvmv5t27ZhxYoVOHLkCFasWIE33nijw30++OAD/PTTT5g+fToaGhq0I953au+9p+vcd+a92tE+7Z17Xft05tx3xOQWHOkMhmEQHh7e5rf4u09aR2/guLg4rF69Gt9//z1qamq0j3/++ecYPnw4vvjiC+0tYA3NB2Z7bG1ttcfmcrna1V9qampw6tQp3LhxAxwOByqVChwOB2PHjm0zdnt7+x7rU9rZn9fR0REjR45EZmYm0tPT7yljaAuPx2s1SeruSSWaEcA7fzcAsG7dujZv0/TEcTVmzZqFr776CiEhIZ1K/ts6f+PHj9fruJ3F4/EwfPhwDB8+HP369cPWrVt79O9fl7CwsFYlRAAglUpRXl6u1+3frnj66acxffp0vc5FXFwcPvvsM9TU1ODq1avauzhdUVxcDB6PBy8vLzAMg3//+98YPXp0q23+/PPPLr8+6T6FQoFFixYhKSlJ+wVbH66urhg+fDiOHTuGfv366dzmwoULOHToEI4ePQq5XA6pVIply5Z1WF6jWanQy8sLEyZMQFZWlvYWti4CgQACgUA78jVp0iS9EuWjR48iMjIS3t7eHW574sQJBAUFwdPTE0DLYMTFixfvmQh2p1mzZmHWrFkAgE8//VTnCoy6eHl5aResEYvF2mP2tF27duHw4cP47rvvOn0tS0pKwvz587Fo0aI2t7l16xZKSkq0vyOhUIjp06djx44d8PHx0bnPnefizhUt2+Pn54cJEyaAw+EgOjoaXC4X1dXV7f7elEolDhw4oPdn7u7du7XJ8eTJk/Hvf/+7w31CQ0O1d3QLCgq0pZkaut577Z37rrxX29qnvXPf0XH0OfcdMasR5bv17dsXVVVV2hnDCoWi1WivZqTp3LlzcHFxgYuLS7uvN3PmTCxcuPCeEcX6+nrtRWP37t1t7j9y5Ehs3bpV+++ObsPs378fycnJ+OOPP3Do0CEcOXIEQUFBOHfuHLKyslBcXAy1Wo309HQMHTq03dfqiq78vLNmzcLKlSsRFRWld71WYGAgbt68iebmZtTV1eHkyZMd7jNq1Cj8+OOP2m/a2dnZeh2rK8eNiYmBUCjs1Dd2oO3zp1ardR63b9++KC4u1nZr0fx96iM/Px+FhYXaf1+7dg2hoaGd/vt3dnbW1q7pIzY2Fo2NjUhNTQXQMhqyatUqTJs2DaNGjcLPP/8MpVIJANovW509xt3c3d0xadIk7Ny5U/vYkCFDtKP1e/bs0ZaNODs7Y9CgQfjggw/w0EMPdflLZFVVFd5++2088cQT4HA4GDVqFLZt26YtySkoKIBMJsPIkSOxa9cubVePO79gEsNiGAZvvPEGQkJCMG/evA63r6qq0t5FaWpqwokTJ9r94v3KK6/g6NGjOHToED799FOMGDGiwyRZJpNpuwPIZDIcP35cu6phW3x8fCAQCLRzP06ePInQ0NAOf56755K0JyAgAJcvX0ZjYyMYhtHrGJrb5mVlZcjIyEBSUpJex4qLi9NeH1JTUzF+/Hi99uuMo0eP4ptvvsGGDRv0GpwC0Op6mZmZ2eGgS0REBE6ePIlDhw7h0KFDEAgE2LVrV5tJMoBWc6LuXNGyPQ8//DBOnz4NoOW6olAo4OHh0e4+mr9dgUDQ4esDLbW7mpK0U6dO6VWuoTn/arUaGzZswKOPPqp9rq33XlvnvrPv1fb2ae/ct7VPZ899R8x6RNnOzg7r1q3DypUrUV9fD5VKhaefflr7x2pvb4+UlBQolUq9JmgJBIJWo8Uazz33HF577TVs2LBB56pUGi+++CLee+89TJkyBVwuF//85z/b/Sa1d+9ePP/8860ei4+Px7Zt2xAVFYX3338fRUVFGD58OCZMmNBh/J3VlZ930KBB4PP5eo32KZVK2NnZwd/fH5MmTcKUKVMQFBSEgQMHdrjvP/7xD3z44YeYOnUq1Go1goKCsHHjRr1+rq4cd/Lkybh27VqnJmu0df727dun87gODg54++238dxzz8HJyalTt3hlMhlWrlyJuro68Hg89O7dG++99x5mz57dqb//cePGYdGiRcjMzMSbb77ZYZ0yh8PBF198gXfffRdffvkl1Go1xo4di6VLl4LL5aKwsBBTp06FjY0NHnnkETz55JN45JFH8Nxzz8HX17dLdcoA8Mwzz7T60vnmm29ixYoV2Lx5Mzw9PfHRRx9pn0tISMDixYs7fSzNnAelUgkej4fk5GTtxXbWrFkoLS3F9OnTwTAMPDw88OWXX2LMmDG4fv06ZsyYAVtbW+3vgnTO0qVLcebMGVRXV2PMmDF46aWXtKOZbTl//jzS0tLQr18/7ajf0qVL27wmi8VivPbaa1CpVGAYBpMmTdKWwPUUiUSChQsXAmj5EjllyhS96mfffPNNLFu2DAqFAsHBwa3+nnWRyWQ4ceIE3nvvPb3iiomJwcSJEzFt2jTY2NhgwIABmD17drv7vPTSS6ipqYGNjQ3efvttnRMMdZ23+fPnY8mSJdi5cycCAgKwdu3aDvdxd3fH+++/j6qqKrzwwgsYMGAANm/e3Ob2mzZtQnNzs/b9GRMT0+p3oWufo0ePoqCgABwOB4GBgXj33Xc7jKu9v0Fd2585c+aeFS072mfGjBl4/fXXMWXKFNja2mLVqlXaUdK2Yvrtt9/a/JKka5/3338fH374IZRKJezt7fWKSyaT4aeffgIATJgwodVcnbbee22d+7a2b25ubvO8t7WPph2prnPf1j47d+5s99x3Fq3MZ4JOnz6Nb7/9Vu/E0JhEIhGeeuoppKend1jDdv36dfz73/9uNTJoDF057gsvvIC5c+ciNjbWgJG11FI5OzuDYRi8++676NOnD+bOndvjx5kzZw5effVVREVF9fhrE0IIIdbCrEsviHGlpqbikUcewZIlSzpMkrdt24alS5diyZIlxgmui8etq6vDxIkTYW9vb/AkGQB27NihXeSivr6+w1EeQgghhLCHRpQJIYQQQgjRgUaUCSGEEEII0YESZUIIIYQQQnSgRJkQQgghhBAdKFEmhBBCCCFEB0qUiclZv369trciIYQQ00bXbGLJKFEmhBBCCCFEB7NemY9YhtTUVGzevBkcDgcRERHo1auX9rlbt27h3XffRXV1NRwcHPD+++8jNDQUhw4dwoYNG6BQKODu7o41a9bA29sb69evR1lZGUpKSlBWVoann35a5+qDAFBSUoLnn38eQ4cOxcWLF+Hn54cvv/wSDg4O2L59O37++WcoFAr07t0bq1evhqOjI1577TXY29vj2rVrkEgk+PDDD5GamopLly4hJiYGq1atAgD8+eefWL9+PZqbm7Urbzk7Oxvl90kIIYZE12xiVRhCWHTjxg0mPj6ekUgkDMMwTHV1NbNu3Trmm2++YRiGYZ566immoKCAYRiGuXTpEjNnzhyGYRimpqaGUavVDMMwzPbt25mPPvqIYRiGWbduHTN79mxGLpczEomEeeCBB5jm5madxy4uLmYGDBjAZGdnMwzDMIsWLWJSU1MZhmGYqqoq7Xaffvop8/333zMMwzD/+te/mCVLljBqtZo5cOAAM2TIEOb69euMSqVipk2bxmRnZzMSiYR5/PHHmYaGBoZhGGbjxo3M+vXre+x3RgghbKFrNrE2NKJMWHXq1ClMmjQJnp6eAAB3d3ftcw0NDbh48SIWL16sfay5uRkAIBQK8fLLL6OiogLNzc0ICgrSbjN27FjY2dnB09MTnp6ekEgkEAgEOo8fFBSEAQMGAAAiIyNRWloKAMjNzcXatWtRX1+PhoYGjBo1SrvPuHHjtCMp3t7eiIiIAACEhYWhtLQUQqEQeXl5eOyxxwAACoUCgwcP7uZvihBC2EfXbGJtKFEmJothGLi6uiItLe2e51auXIm5c+di/PjxOH36NP7v//5P+5ydnZ32/3k8HpRKZZvHuHtbuVwOAHjttdfw5Zdfon///ti1axfOnDlzzz4cDqfV/lwuF0qlElwuFw8++CA+/fTTLvzUhBBinuiaTSwRTeYjrBoxYgR+//13VFdXAwBqamq0z/H5fAQFBSE9PR1Ay0X4+vXrAID6+nr4+fkBaKmX62kNDQ3w8fGBQqHAnj17OrXv4MGDceHCBRQVFQEAZDIZCgoKejxGQggxNrpmE2tDI8qEVeHh4ViwYAHmzJkDLpeLgQMHIjAwUPv8J598gnfeeQcbNmyAUqlEQkIC+vfvj3/+859YvHgx3NzcMHz4cJSUlPRoXIsXL8asWbPg6emJmJgYNDQ06L2vp6cnPvroIyxdulR723HJkiXo27dvj8ZICCHGRtdsYm04DMMwbAdBCCGEEEKIqaHSC0IIIYQQQnSg0gti8aqrqzF37tx7Hv/uu+/g4eFh/IAIIYS0ia7ZxJRQ6QUhhBBCCCE6UOkFIYQQQgghOlCiTAghhBBCiA6UKBNCCCGEEKIDJcqEEEIIIYToQIkyIYQQQgghOvw/natA70VYPFIAAAAASUVORK5CYII=\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", - "sns.lineplot(data=df[df.name.str.contains(r\"C\\(mnth\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1)\n", - "sns.lineplot(data=df[df.name.str.contains(r\"C\\(hr\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2);" + "sns.lineplot(\n", + " data=df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1\n", + ")\n", + "ax1.set_xlabel(\"mnth\")\n", + "sns.lineplot(\n", + " data=df[df.name.str.contains(r\"C\\(hr, Sum\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2\n", + ")\n", + "ax2.set_xlabel(\"hr\");" ] }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -2314,7 +2336,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -2345,17 +2367,19 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 57, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2399,7 +2423,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -2446,51 +2470,51 @@ " \n", " 0\n", " Intercept\n", - " 2.694\n", - " 0.010\n", - " 277.124\n", + " 4.1182\n", + " 0.006\n", + " 683.963\n", " 0.000\n", - " 2.675\n", - " 2.713\n", + " 4.106\n", + " 4.130\n", " Intercept\n", " \n", " \n", " 1\n", " C(weathersit)[T.cloudy/misty]\n", - " -0.075\n", + " -0.0752\n", " 0.002\n", " -34.528\n", " 0.000\n", " -0.080\n", " -0.071\n", - " cloudy/misty\n", + " C(weathersit)[T.cloudy/misty]\n", " \n", " \n", " 2\n", " C(weathersit)[T.heavy rain/snow]\n", - " -0.926\n", + " -0.9263\n", " 0.167\n", " -5.554\n", " 0.000\n", " -1.253\n", " -0.599\n", - " heavy rain/snow\n", + " C(weathersit)[T.heavy rain/snow]\n", " \n", " \n", " 3\n", " C(weathersit)[T.light rain/snow]\n", - " -0.576\n", + " -0.5758\n", " 0.004\n", " -141.905\n", " 0.000\n", " -0.584\n", " -0.568\n", - " light rain/snow\n", + " C(weathersit)[T.light rain/snow]\n", " \n", " \n", - " 38\n", + " 40\n", " workingday\n", - " 0.015\n", + " 0.0147\n", " 0.002\n", " 7.502\n", " 0.000\n", @@ -2499,9 +2523,9 @@ " workingday\n", " \n", " \n", - " 39\n", + " 41\n", " temp\n", - " 0.785\n", + " 0.7853\n", " 0.011\n", " 68.434\n", " 0.000\n", @@ -2514,67 +2538,78 @@ "" ], "text/plain": [ - " name coef std err z P>|z| \\\n", - "0 Intercept 2.694 0.010 277.124 0.000 \n", - "1 C(weathersit)[T.cloudy/misty] -0.075 0.002 -34.528 0.000 \n", - "2 C(weathersit)[T.heavy rain/snow] -0.926 0.167 -5.554 0.000 \n", - "3 C(weathersit)[T.light rain/snow] -0.576 0.004 -141.905 0.000 \n", - "38 workingday 0.015 0.002 7.502 0.000 \n", - "39 temp 0.785 0.011 68.434 0.000 \n", + " name coef std err z P>|z| \\\n", + "0 Intercept 4.1182 0.006 683.963 0.000 \n", + "1 C(weathersit)[T.cloudy/misty] -0.0752 0.002 -34.528 0.000 \n", + "2 C(weathersit)[T.heavy rain/snow] -0.9263 0.167 -5.554 0.000 \n", + "3 C(weathersit)[T.light rain/snow] -0.5758 0.004 -141.905 0.000 \n", + "40 workingday 0.0147 0.002 7.502 0.000 \n", + "41 temp 0.7853 0.011 68.434 0.000 \n", "\n", - " [0.025 0.975] clean_name \n", - "0 2.675 2.713 Intercept \n", - "1 -0.080 -0.071 cloudy/misty \n", - "2 -1.253 -0.599 heavy rain/snow \n", - "3 -0.584 -0.568 light rain/snow \n", - "38 0.011 0.018 workingday \n", - "39 0.763 0.808 temp " + " [0.025 0.975] clean_name \n", + "0 4.106 4.130 Intercept \n", + "1 -0.080 -0.071 C(weathersit)[T.cloudy/misty] \n", + "2 -1.253 -0.599 C(weathersit)[T.heavy rain/snow] \n", + "3 -0.584 -0.568 C(weathersit)[T.light rain/snow] \n", + "40 0.011 0.018 workingday \n", + "41 0.763 0.808 temp " ] }, - "execution_count": 69, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bikeshare_poisson = smf.poisson(\"bikers ~ workingday + temp + C(weathersit) + C(mnth) + C(hr)\", df_bikeshare).fit()\n", + "bikeshare_poisson = smf.poisson(\n", + " \"bikers ~ workingday + temp + C(weathersit) + C(mnth, Sum) + C(hr, Sum)\", df_bikeshare\n", + ").fit()\n", "table = bikeshare_poisson.summary().tables[1]\n", "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", - "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\)\\[T\\.(.*)\\]\", \"\\g<1>\", regex=True)\n", - "df[~df.name.str.contains(r\"C\\(mnth\\)\") & ~df.name.str.contains(\"C\\(hr\\)\")].round(3)" + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" ] }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 59, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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Today-0.026155-0.010250-0.002448-0.006900-0.0348600.0145921.0000000.730563
Direction-0.039757-0.0240810.0061320.0042150.0054230.0229510.7305631.000000
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -3121,7 +3156,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -3144,7 +3179,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -3176,7 +3211,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -3200,7 +3235,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -3227,10 +3262,10 @@ " Method: MLE Df Model: 6 \n", "\n", "\n", - " Date: Sat, 16 Oct 2021 Pseudo R-squ.: 0.002074\n", + " Date: Sun, 17 Oct 2021 Pseudo R-squ.: 0.002074\n", "\n", "\n", - " Time: 17:44:35 Log-Likelihood: -863.79\n", + " Time: 16:53:00 Log-Likelihood: -863.79\n", "\n", "\n", " converged: True LL-Null: -865.59\n", @@ -3274,8 +3309,8 @@ "Dep. Variable: Direction No. Observations: 1250\n", "Model: Logit Df Residuals: 1243\n", "Method: MLE Df Model: 6\n", - "Date: Sat, 16 Oct 2021 Pseudo R-squ.: 0.002074\n", - "Time: 17:44:35 Log-Likelihood: -863.79\n", + "Date: Sun, 17 Oct 2021 Pseudo R-squ.: 0.002074\n", + "Time: 16:53:00 Log-Likelihood: -863.79\n", "converged: True LL-Null: -865.59\n", "Covariance Type: nonrobust LLR p-value: 0.7319\n", "==============================================================================\n", @@ -3292,7 +3327,7 @@ "\"\"\"" ] }, - "execution_count": 10, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -3304,7 +3339,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -3314,7 +3349,7 @@ " 0.50695646, 0.49265087, 0.50922916, 0.51761353, 0.48883778])" ] }, - "execution_count": 14, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -3326,7 +3361,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -3393,7 +3428,7 @@ " Total 648 602 1250" ] }, - "execution_count": 38, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -3408,7 +3443,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -3417,7 +3452,7 @@ "0.5216" ] }, - "execution_count": 40, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -3435,7 +3470,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -3555,7 +3590,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -3567,7 +3602,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -3679,7 +3714,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -3688,7 +3723,7 @@ "0.4801587301587302" ] }, - "execution_count": 81, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -3699,7 +3734,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -3808,7 +3843,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -3817,7 +3852,7 @@ "0.5595238095238095" ] }, - "execution_count": 84, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -3828,7 +3863,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -3837,7 +3872,7 @@ "array([0.47914604, 0.49611109])" ] }, - "execution_count": 92, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -3855,7 +3890,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ @@ -3866,48 +3901,16 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 79, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Prior probabilities of groups: \n", - " Down Up\n", - " 0.491984 0.508016\n", - "\n", - "Group means: \n", - " Lag1 Lag2\n", - "Down 0.042790 0.033894\n", - "Up -0.039546 -0.031325\n", - "\n", - "Coefficients of linear discriminant: \n", - " LDA\n", - "Lag1 -0.642019\n", - "Lag2 -0.513529\n", - "\n" + "Prior probabilities of groups: \n" ] - } - ], - "source": [ - "lda = LinearDiscriminantAnalysis().fit(X_train_restricted, y_train)\n", - "print(\"Prior probabilities of groups: \")\n", - "print(pd.DataFrame(data=lda.priors_.reshape((1, 2)), columns=[\"Down\", \"Up\"], index=[\"\"]))\n", - "print()\n", - "print(\"Group means: \")\n", - "print(pd.DataFrame(data=lda.means_, columns=X_train_restricted.columns, index=[\"Down\", \"Up\"]))\n", - "print()\n", - "print(\"Coefficients of linear discriminant: \")\n", - "print(pd.DataFrame(data=lda.scalings_, columns=[\"LDA\"], index=X_train_restricted.columns))\n", - "print()" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [ + }, { "data": { "text/html": [ @@ -3921,331 +3924,350 @@ " vertical-align: top;\n", " }\n", "\n", - " .dataframe thead tr th {\n", - " text-align: left;\n", + " .dataframe thead th {\n", + " text-align: right;\n", " }\n", "\n", "\n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", "
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\n", "" ], "text/plain": [ - " Real \n", - " 0 1 Total\n", - "Predicted 0 35 35 70\n", - " 1 76 106 182\n", - " Total 111 141 252" + " Down Up\n", + " 0.491984 0.508016" ] }, "metadata": {}, "output_type": "display_data" }, { - "data": { - "image/png": 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" + ], "text/plain": [ - "" + " Lag1 Lag2\n", + "Down 0.042790 0.033894\n", + "Up -0.039546 -0.031325" ] }, - "execution_count": 109, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients of linear discriminant: \n" + ] }, { "data": { - "image/png": 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" + " LDA\n", + "Lag1 -0.642019\n", + "Lag2 -0.513529" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" - } - ], - "source": [ - "classification.plot_classification(lda, X_test_restricted, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4.6.4 Quadratic Discriminant Analysis (QDA)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ + }, { "name": "stdout", "output_type": "stream", "text": [ - "Prior probabilities of groups: \n", - " Down Up\n", - " 0.491984 0.508016\n", - "\n", - "Group means: \n", - " Lag1 Lag2\n", - "Down 0.042790 0.033894\n", - "Up -0.039546 -0.031325\n", "\n" ] } ], "source": [ - "qda = QuadraticDiscriminantAnalysis()\n", - "qda.fit(X_train2, y_train)\n", + "lda = LinearDiscriminantAnalysis().fit(X_train_restricted, y_train)\n", "print(\"Prior probabilities of groups: \")\n", - "print(pd.DataFrame(data=qda.priors_.reshape((1, 2)), columns=[\"Down\", \"Up\"], index=[\"\"]))\n", + "display(pd.DataFrame(data=lda.priors_.reshape((1, 2)), columns=[\"Down\", \"Up\"], index=[\"\"]))\n", "print()\n", "print(\"Group means: \")\n", - "print(pd.DataFrame(data=qda.means_, columns=X_train2.columns, index=[\"Down\", \"Up\"]))\n", + "display(pd.DataFrame(data=lda.means_, columns=X_train_restricted.columns, index=[\"Down\", \"Up\"]))\n", + "print()\n", + "print(\"Coefficients of linear discriminant: \")\n", + "display(pd.DataFrame(data=lda.scalings_, columns=[\"LDA\"], index=X_train_restricted.columns))\n", "print()" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 80, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.600 0.270 0.373 111\n", - " Up 0.599 0.858 0.706 141\n", - "\n", - "avg / total 0.599 0.599 0.559 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.270270 0.729730\n", - " False 0.141844 0.858156\n", - "\n" - ] + "data": { + "text/html": [ + "
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\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "print_classification_statistics(qda, X_test2, y_test, labels=[\"Down\", \"Up\"])\n", - "plot_ROC(qda, X_test2, y_test, label=\"QDA Train/Test, only Lag1 and Lag2\")\n", - "plot_classification(qda, X_test2, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4.6.5 K-Nearest Neighbors" + "display(classification.get_confusion_matrix(lda, X_test_restricted, y_test))\n", + "RocCurveDisplay.from_estimator(lda, X_test_restricted, y_test)\n", + "classification.plot_classification(lda, X_test_restricted, y_test);" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 81, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n", - " metric_params=None, n_jobs=1, n_neighbors=3, p=2,\n", - " weights='uniform')" + "0.5595238095238095" ] }, - "execution_count": 28, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "n_neighbors = 3\n", - "knn = neighbors.KNeighborsClassifier(n_neighbors)\n", - "knn.fit(X_train2, y_train)" + "(y_test == lda.predict(X_test_restricted)).mean()" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 82, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.466 0.432 0.449 111\n", - " Up 0.577 0.610 0.593 141\n", - "\n", - "avg / total 0.528 0.532 0.529 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.432432 0.567568\n", - " False 0.390071 0.609929\n", - "\n" - ] - }, { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "0.0" ] }, + "execution_count": 82, "metadata": {}, - "output_type": "display_data" - }, + "output_type": "execute_result" + } + ], + "source": [ + "(y_test == (lda.predict_proba(X_test_restricted) > 0.9)).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", 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BoDK5e4dGotmz5YJJ7tdecxXhYaFs3bodX7/ODLp8EDqt1t1h1djmzdvx8r8EldoAgJdfdzZv3lbrxF5cXEJRURFBQYFoNKJ7oND4icQuCCcxxCfBScldOrbH3N0V6+pLp06d6NSpk7vDqBP+fr7kpaaDyQyArSID/0hTrcb88vMv+Pijj/BUa1G0Gl6YPImoqMjzv1AQ3EjcfBKE0xjik/DO2UtS+WoSTOmEqQ+LdrBNwF13D6OieCPZhz4h6+DH2MuSGTbsthqPZ7FY+PrT//GQy49H7CZ6lki8PGlyHUYsCPVDXLELwhkY4pNw7E/GkLEfH8CrxM7hzsPw1Imp2MYqOCiI1xfMY/2GDUhIdOnSBS8vzxqPdyA1lRh0eEuVb5PtMfB9TiYOhxO1WrQEFhovkdgF4SzUMYkn/mzanwwblork3sh5e3vTv1+/OhkrNCSUw9ixKi50ksw+xYrJ21skdaHRE1PxglAFx0vSttywVEzLXyDat29P1369WagpYKmulO/15YwY85y7wxKE8xJX7IJQRSdK0oor9wuCJMEDDz/EoCuvID+/gKioKHx8vN0dliCcl7hiF4RqEFfuF56IiAg6dGgvkrrQZIjELgjVdHpyP/5fQ3aMc7lc/PrrCj744APWrPkTpfl2fhUEoZrEVLwg1MDxaXlj8ocA2J0KeW0HcqSwZb3veVcUmD5pCpnJu4m0SfypdbJr+3buf/ihej2vIAhNg7hiF4QaUsckYohPwhCfhNHkh/+Ohun1vm/fPvYk7+A2uye9ZC+G2b1Zvnw5hYVF9XpeQRCaBpHYBaEOqEIjGyy5l5WV4a3SoJIqz6FHQq9SU1ZWVm/nFASh6RCJXRDqyMnJPa5wVb31eI+NjaVQpbBRKaVIcbBKKsPL10RQUFC9nE8QhKZFJHZBqEPHk7shM4X4/D/qJbkbjR5Mmj6NfZF+vK8vpcAczgtTp6BSiV9nQRDE4jlBqHNnagNb181kIlq2ZObcV+tkLEEQmheR2AWhHpyc3JP0MrbgGIpKnKQVRzT7drCCILiXSOyCUE+OJ3clYz+GjP14OBxoi1xk97hDVK0TBKHeiMQuCPVIFfpv72414LdnC/y1RCR3QRDqjVhtIwgNyBCfhJ+3TNBfS0RJWkEQ6oVI7ILQwERyb15cLoW0I0dIS0vD5RK1fQX3c+tUvNlsfhe4Csi2WCyJZ3heAuYCVwBlwN0Wi2VTw0YpCHXPEJ8kpuXrSX5+ATt2JKPT6enYMQm1uv7e5ioqrLw0bjxpBw8CEBYRwYTJkzAY9PV2TkE4H3ffY38fmA98cJbnBwNxx/7rCrxx7P8FockTyb12FAU++/RTlv/0MyqViiE330hcXDzPj5uAwdgSu62YQP//MW36ZHRabb3E8OGSJUip6Tzq8AXgu4MZfLRkCfc9cH+9nE8QqsKtU/EWi2UVcPQch1wLfGCxWBSLxfIPYDKbzaENE50g1D9DfBLBftpG2wbW5VL46++/+frrb0jescPd4Zzi22++ZuUX33BtoYrLjyp8/Pa7TJs+A+/AywiMuI3Q2AfIK1Dz808/1VsMh/buo41djSxJyJJEgl1N6t599XY+QaiKxn6PPQw4fNLjtGNfE4Rm4/Q2sJnFKjKLVQ3aBvZMFAVenjGL199Yync/72Ly5Jl8+eU3bo3pZH/9voq+Nh3BkoZwSUsPm47ivDw8jJU7ESRJQq0PIzs7t95iCI+KZI/agaIoKIrCHrWDllFR9XY+QaiKxp7YBTerqKjg4MGDFBcXuzuUZu14co/dupRurtUkla9ukE5x57J79262b7cQGns/AWFX0aLV/Xz44VKsVqvbYjqZwWCgiH+L/RTLCj4mEwW5f6IoLhz2EsqLttK2bUK9xXD7XXdREhbAIm0hi7SFlIQFcPtdd9bb+QShKtx9j/18jgAtT3ocfuxrQgNITk5mypTpqDQeWMsLuW/4vQy6/HJ3h9VsqWMSMWYchKwcDOXFeJVYCEtqmB7vZ1JUVITO4I8sV75NqDU+yCotpaVl6HS6Go25du06NmzchMnHm6uvuRpvL68ax3fLXXfy0vgJ5NtdOCTYqXMycfRI3n5nMXu2vASKwvXXX0/37j1qfI7z8fAwMGPObFJTD6AoEB0dLWr2C27X2BP7t8BjZrP5EyoXzRVaLJYMN8d0QXA4HEydOh3/8Bvw9G6F1ZrHe+++Sft27WjRooW7w2u2Ti5o45txEO2OZdDWPck9Li6OspIjFBfsxugVQ0HOP/iafDCZTDUa75tvv+fjT77E07crDts+Vq4cwbx5czAaPWo0XuvWZqbOnMHqVX+gUqm577L+BAcH8/L0yZSXV6DRaFCr66fD3slUKpnY2Nh6P48gVJW7t7t9DPQBAsxmcxowEdAAWCyWhcCPVG5120vldrd73BPphaegoACnS8LTuxUAOp0/Ru9w0tLSRGJvICfqzbspufv5+TJh/FhemT2XjP25REXFMHrCRGRZqtF4n3z8CSHR96EzBAKQlfoxa9as4fLLB9Y4xqioSKKi7kRRoKSkBKfThUoli+1mwgXNrYndYrHcep7nFeDRBgpHOInJ5AOKg7LSQ3gYI7DbCiktOkJoqNiU0JDcndzbtm3Du+8sqpOxbDYbKs2/V+ey2gObzVbrcdOOHGHS+AnkFxSAJPHwY4/St2/fWo8rCE1VY5+KF9xErdYwatQIZsx4Bb1HAOVludx6y020bNny/C+uZ7t27eLN1xZQUFRAYmI7HnnyCQwGg7vDqjfuTu51pUePS9i64yt8g/tjLc+htHAnnTrdW+txp058kY5H7XSSgshx2Xnr9TeIjY0lIiKiDqIWhKZHrPIQzqpTp0689dZCRo96iAXz5zJkyHXuDomsrCwmTXyBjukl3FZqoGjDdmZNm+busOqdKjQSo8kP/x3L3L5avqYef/wRelwcS2nuV3jIW3nxhQm0aFG7GaDy8nKy8nLoROVMQKCkIUZlYN8+sZdcuHCJK3bhnLy9vfH2buPuME7Ytm0bcZKONlLlFfoVTiMvb9+Gy+VClptesquq3bt3s3DRO0ToYXC/DFoMuIMjxVFNqre7VqvhoYfqtiKbTqdHo9aQbrfTAi12xUWGy4a/f0CdnkcQmpLm+04oNEuVe5ddKFQ22yjChUalbtZJPSMjg4kvTMJKRw5Lg/nxt82U/7KY+Pw/KLHaTxS1cReHw8HBg4fIys5GaeAeKLIs8eQzz/CpppgvdWW8rSkiqXtX2rVr17CBCEIjIq7YhSala9eufPHJp3yRlU+wHbZqHNx++zB3h1WvNm/ejKcpAR+/9gBkugbx5Q9vMSI6DO+cvQAUBbZiD70b/Ao+NzePsWPHU1Jqw+Go4OIunXnmmSdrvHK+Jrp370bUvHns27cXPz8/EhLaIDXc6QWh0RGJXagXDoedrKxsfHx88PT0rLNxNRoN01+ZxS+//EL+0aM83r4dnS7qVGfjN0Y6nQ6nveTEY4etmOSsQgzxHf89aM8W4qFOk/u+/fv5/rsfcTicXD7oMhLbtv3PMXPnLsClNhNu7o+i2Nmy/T1WrPiVAQMG1EkMVRUaGkJoaEiDnlMQGiuR2IU6d+DAAV4cPwHZ7qDUYefW22/nuqFD6mx8nU7HNddcU2fjNXaXXHIJ//vsKzIPfY5aG0xZ/npuv/22U44xxCfBni3E7NtTJ53i9u3bx9ixE/DyvwRJ1rFu0jSeG/UsF13U8ZTjDh0+hF+LYUgSSJIGnTGB/QcO1urcgiDUTvO9MSk0iMor8yystn/rh097aRK9S2QesZl40OXLlx9/QkpKihujbNr0ej1zZs/gyoFtuThJw9NPP8w111z9n+MM8Un4ecsE/bWk1p3ivvr6e7wDLsU/tBd+wd3xDbmCzz7/6j/HhbUIo6RwJwAulwN7WQqREeG1OrcgCLUjrtiFGktOTmb65CmoXC6siosnnnmaLp27kJN/lESpclrUGzXRsp6DBw8SFxfn5oibLg8PD2688cbzHldXPd4ddgeS7H3isazSYrc7/nPck08+wugx40nfm4zdVkbbtq0ZOLDmleQEQag9kdiFGrHZbEyfPIVrKvTESHoysDF/9qvMX7QQH6Mn+0utxEp6KnBxWLGJinUNqC6S++WX92P6y7NRq41Ispr8jJ8Yeu9t/zkuODiYhW+8RmrqQfR6PREREWLhmiC4mUjsQo3k5OSgVSBGqqzJHYqWYI2etLQ0RowZzfRJkwhQOcmzW+k3YABtz7DwSqg/tU3uHTt25JmnH+N/n32Ny+ni3ntu47LL+p/xWJ1Oh9kcX+NYjxxJ55tvvqO8vIK+fXv95z5+Y7Z7t4X/Lf2QivJyevbvy+DBV4gPNoLbicQu1Iifnx+lTgc52AlEQxEOsu0VBAUFERISwutvvcXBgwfx9fUlPFzcc3WH2ib3rl270rVr1/oJ7piMjAyeHTEKo6kLstrIuhlzeOzRB7j00p71et66cOBAKi+Nn0Afmw5PZL46tAS71cq1Q+puoagg1IRYPCfUiMFg4OHHHmGJuoiPDaW8oy7khltuJiTk2L11b2/atWvn1qRut9tZvHgJo0ePZ95rCygqKnJbLO5yfEFdyw1La72grj58++33GLw7EtCiP35B3QgMH8onn37u7rCq5PeVv3GRTUNH2UicbOBKuwe/fP+ju8MSBHHFLtRcnz59adOmLYfTDhMSHEJYWJi7QzrF1Kkvc+BQGUZTJ7bu2MeIkaOZ/9qraLVad4fWoAzxSWj2J8OGpRzuPKzWW+HqSlFxMSt/+x1Pvx4nviardFgd/12k1xjJsozzpGl3J0qzroAoNB3ip1ColaCgIDpd1KnRJfXCwkKSk5MJirwZL5OZgLArqLCp2bVrl7tDcwt1TCImT02junL/8Ycf0ejCOZq5hqKj2ykt2k/Ggc8ZMODM9/Ibm8sGDmCb1s5fSgnbXGV8pynlmhuud3dYgiASu9A8SZJUWU/+5OLlioJ0Aa9samzJvai4GJ0xgrCYm8nPWUfW4Z9QqWxcX4fFjOpTWFgLps6ciXJJB3IuasXwJ59g4OViq5/gfmIqXmiWvL296dAhiX0HPsHDdBHW0v14GBRat27t7tDqhdPpZMnSj9i4cQsmkw/33XsnUVFR/zlOHZOI6aRp+RJb5a4GyaU0eI/3i7t0ZsXKORi9b6NF9I3kHvmGbp07NqlV5ZGRETw1coS7wxCEU4grdqHZGjN6BJf1bY+fxy46tfdl5oxpzfb++oLXF7Ly962g70t2QRhjxo4jJzfnjMcev3KP3bqUbq7VdHOtdkuP96SkJIbfewf56Z9wJGU+F7UPZ/jwexo0hqaovLycqVNncOONt3DnXfexZs0ad4ckNDLiil1ottRqDcOG/beoSnP0x++/E504ErXaA6NXFA7rETas38DgwYPPeLw6JhFjxkHIqkz+/gUWaDuQI4UtG/TKfcCAyxgw4LIGO19zMOfV+ezZX0ZEm6exVeQx77WFBAUFEx8vKjsKlcQVuyA0A7JKhctlO/HY5bKhVp/7c7sqNPLEf0aTH/47lrnlyl2oni1bNuHfYhBqtREPzwg8fZPYunWru8MSGhHxGywIzcDQIdeRdWAJ+bkbyTnyI4ojk+7du1f59SK5Nx0eHp5YK3KByrWhTnseXl511xpZaPrEVLwgNAO33noLwcHBbNiwGV9ff268cRaentV7s1eFRmIE2LHMLdPyQtU89OB9zJ4zHy/f9jjseXjqK+jbt6+7wxIaEZHYBaGZ6NevL/361e4N/uTk7hESxx65NyFezjqJT6gb3bp1Y9rUQLZu3YbRmESfPr3R6XTuDktoRERiFwThFCeSe2YK8cAeRHJvbGJjY4mNjXV3GEIjJRK7IAj/IZK7IDRdIrELQi3t3LmTnTt3YjKZ6NOnz3lXozcVIrkLQtPUPN6BBOGYiooK9Hp9g53vl19+5sO336ONU0O2Blb89AuTZ0xHpVI1WAx1LSUlhbVr12Ew6BkwYIBI7oLQxIjELjQL27ZtY+a0aZRVVODr7cPYieOJian/e5DvvvUO9zhNBKBGsSl8kJbB2nVr6dG9x/lf3Aht3LiRGTPm4OnXCZejhO+++5G5c2fjCSK5C0ITITarCk1eYWEhM6ZM4ZpyA6MJpmehwksTJmK312+jE6fTic1hx5fKq3MJCT9kSktK6/W89endd5cQED6EwBYDCI4YgqSN4aeffjqxz92QmUJ8/h9kFtfPjITD4Tylb49QM1lZWUwcM5bhd93NpAkvcPToUXeHJDQgkdiFJu/gwYMEqHRESzokJBIlD2S7k+zs7Ho9r0qloq25Nb/KpZThYq9SQYrLSmJiYr2et764XC6ys7PQ6EwnviarfSgrKwcq77l7J3TEO2dvnSf3o0fzefbZ57jhhhu4+eZb+e233+ts7AuN1Wrl+VHP4bc7jesLNeiS9zNh9FgcDjHLcqEQiV1o8vz8/ci1V1BOZTGVQhyUOuyYTKZ6P/eocWNxtYnmdfVRfveTGfX8GEJDQ2s9bk5ODrt27aK4uLgOoqyaLVu2oHW5yE39BmtFHqXFB8jLWE3nzp1OOc4Qn1TnyX3a9JkUlAYT3/FFQmPv442Fb7Nv375ajVlSUkJBQeEFNwOwf/8BtFYHPTASIKnp6/KgtKCQjIwMd4cmNBBxj11o8sLDwhkweDDv/vwL4ZKWVJeVYXfcgdForPdze3t5M37SS3U65heffcYXn/4PP42efKeNUc+PpUOHDnV6jjMpLS2lpVqHsTyfXTsXoEZGxkpc3H+bixjik2DPlhP33CVXZfasSaU6RYGUPbuI6zgBSZbRe4Tg5duWXbt21WivtsvlYvac1/j7rz+RZJn4uHjGjx+LwdBwiyrdSa/XU+Z04FQUVJKEHQWr04FeL4rYXChEYheahbvuvYeLu3cjIyODqKjIBlk4Vx9SU1P5+n+fc7/TFy+nioNYmTF1Gks+/ghZrt8JtjZt2rAIK5crBi6VTPwjl5PXMhSDwXDG448n9yS9jC04BoBDFf546jTVOq8kgaenDxWlGXh4RaAoLmzlGZhMvWr0fXzz7Xds236QmHajkSQ16Ye/4N13F/Poow/WaLymJioqilZtEvh05x6ibRJ7tC66XNyVwMBAd4cmNBCR2IVmIyEhgYSEBHeHUSvp6emEqXV4OSqnuCPRoTiLKSoqqvdbC/7+/ox78UXmz3mVnwvyiY+LZ9zIEed8jSE+Ccf+ZAwZ+wFoWWLncOdh1U7ujz/+CK+8Mhcv39ZYK7KIahlQrSY2J9u1KwWDTxKySguAp18XLHt+r9FYTZEkwZgJ4/nll59JO3iIa1vF0r+/aI17IRGJ/QJRXl6OXq9HkiR3hyKcQ3h4OGmOCgrR4YOavUoFKo0ab2/vBjl/69atmb9o4SlfO9/Pjjrm38WCpv3JsGFptZN7164X88orL7Nr1y58fLzp0qVLjWcowloEs2f/fhTlIiQJKkr2ERMeVKOxmiqVSuaKK65wdxiCm4jE3sxlZGQwecILZOXmoFKrePyJJ+h56aXuDks4i4iICG658w7efH8xPhodZbgYO358vU/Dn0lGRgYvvjiF7JxMVLKKxx9/jF69zv2zo45JrHFyb9kynJYtw2sbNjfeeAMbNowlY99CZFmDRAn3PzCt1uMKQlMhEnszN2XiC7TNLedugsh2OFg4bz5R0dGEh9f+DVSoH1ddfTWX9urF0aNHCQkJOes97vr20qSpuNTtiEt6CGt5JgsWLCI6OoqWLVue83UnJ/fdCdexbeMGgoNDaNeuHQ0xYeThYWD27Bns3LkLp9NJQkJrt/0dCoI7iO1uzVhFRQUZOdl0wQMJiWA0RKn0pOxNcXdownn4+PgQHR3ttoRktVrJzDiCb/AlSIDeEIKnKZa9e/dW6fXqmERy0g/guWwBXho9r06ayqLXF9Rv0CfRaDR06NCeiy7qKJK6cMERib0Z0+l0aNQasqiswGbHRZZiw9/P382RCY2dTqdDo9VRUVa599npsmMty8DPz69Kry8vL2fiWx/isT2ZPpmrmT/qQVKPlLNv//76DFsQBMRUfLMmSRKPPfkEb8ydR7TKQJZio02nTrRv375Bzm+1WtFqtWLBXhP15BOPMW/e63iaYqkozSQpKaHK++mLi4vRq9QUrT2IHhk/4NEbunG4AJrmRsTGzWazs27dWsrKymnfvj0hIcHuDklwI5HYG4CiKKxYsYL9e1IIbRnO4MGDG6y1Z8+ePYmOjiYlJQV/f3/atWtX7+fMyspiygsvciQzA41azSOPP06vXjXbk9zUlJWV8dors9m6fTteRk8eePwROl3U6fwvbIQuueQSoqKiSElJwc/Pr1ofCP39/dHo9Wy2l5G0dj86HPjhImJwLJmFco0K2QhnZrVaGTlyDAXFoNb48M677zNxwvO0adPG3aEJbiKm4hvA/Ffn8fWb72Jd9hd/fPApkyZMRGnAOpdhYWH06dOnQZI6wNQXX6JVZgmjCeYOhw9vvjafQ4cONci53W3OyzMp27qbB+w+XJbvYva0GU36ez/+s1PdWR6VSsXEyZPY5KdlqpLJrG3JBPgZMCWvJEx9mKxC8dZTV5YtW05hqZ6Q6HsJbHk9/qHXMH/Bm+4OS3AjccVezwoKCvhzzWoed/mjk2S6OhQW7dvP3r17z1iqs6mz2+0cTj/CMCnkxIK9WFlPSkoKERER7g6v3m3atoVnCUKLjKekojVOtm3bdkF876eLiIjgjXfewm63o9FUbntz7E+GLcsISxrIkcKW4sq9Dhw9ehS1NuTEjgOdsQU5OQVujUlwL/GxuZ5ZrVa0sgotlb91MhIeshqr1ermyOqHRqNBr9WReWzBnhMXmTiqvOiqqfPQ6zmKAwAFhQLZhdGz/mvWn8u+fftYtWoVBw4ccMv5jyd1OLYVzlOD15Zl4sq9jrRr147Sws3YKvJwuRzkZ/3WZDsMCnVDXLHXs8DAQPyDAlmRWUgHl4692CjTyDVqbnGcw2FHpVI32kVpjz39JAtmv0qMykC2YqdVh3Z07NjxlGM2bdrEb8uWs+/AAYrKKvDz8+fhh+4jIaFp3xe8Z/hw3lv4Ju0cGnI0oAT60fOSnm6L57NPPuG7L74iXKXnsLOCG267hWuHDHFbPHDSPvc6uHJ3Ol0oiqvB1qzUVm5uHovffoesjAzMbRIYdvdd6HS1a85y0UUdufWW61nywes4HHbad+jI448/UkcRC02R1JD3euuD2WyOAg58NfNlWgQEuDucMyosLOSNefPYv28/oaGhPPzkE4SEhFR7nJKSEiZPmY5l905kWcWdd97BtddeUw8R117akTRS9qTg6+tLUlLSKc+tWbOGN+e+Rg+7jhJc/CNZ8Q0bQFHuH7w6Z1adtD11p127drF9+3a8fbzp17cfWq3WLXHk5OTw5MOP8IDTF09UFOHgTVUBC99+q0Fa2p6PM+MgpQVHyWs7kCOO6iV3RYH33lvMd999i4JCly5dGTHiaXRu+ruuivLych5/6BHMRQ4iXRo2aWwY28Qy/qUX62R8RansbKdSiVmQ5i4nO52nH7kaINpisaSe/nzT+JjbxPn4+DB6/PhajzNnzmtkH/UgvuML2O2FfPrpe0RGtiQpqeP5X9zAwsPCCQ87c3W7Lz76hCvsHrSSKttoOhWwWAvwNCWwZcuWJpHYDx8+zN69ewkMDPzPtGdjaUaTl5eHn0aHp7OyoYw3anzUWvLz8xtFYleFRmIE2LEM2lbvyn358uWs+O0fYtqNQlZp2bPvc9577wMeenB4vcZcG8nJO/C0OuiDJ8gQ4dDySnIyxcUleHl51np8SUIkdQEQib1J2bVrF6GxDyJJMlqtLwafDuzYsbNRJvZzcTrt6KR/34D0gOKy43IVom8CPbN///033lrwBtGyngzFTsce3XjsqSfdHdZ/hIeHU+BycECpIFrSk6KUU4arUX1wqmly37ptB0bTxag1lesXvAMuYdu2ZfUbbC3JKhkHSuWltSThQkFRFLf0ARCaN/ET1YSYTCbKS9OAyoVZTlt6k1yU1n/QIH7WlHFAsbJDKWeNUobdcRQPXQU9uvdwd3jn5HQ6eWP+Am53eHOdzch9dm82//0Pu3btqvZYFRUVrF+/nrVr11JeXl7nsXp6ejJ6/Di+NVQwQ87mZ6OD51+YiF7fuD48qUIjMZr88N9R9QV1Af6+2KxHTjy2lqWd83dh8+bNTH3hJaa9OIlt27bXSdzVlZiYCD5e/KgqIdlVxv80JVzSowdGo4db4hGaL3HF3oQ8/vhDvPDiFKylO7Fb8wn0N3DZZU2vz/K1Q4agUsn8vnwFDoeDTpEJxMfHMXjw4FovJKpvZWVloEAQlSu9tcgEyVqOHj1arXEKCwsZ9cwzeJTakIC3DWpefuWVOv+glpiYyAcffURpaSmenrWf7q0v1b1yv/HG6/n7n1FkHngfWaXHWnqI8aOmnvHYjZs2MWfay/Sx6XAB05MnMXr8uAarwHicTqtl+isz+fSjj8nMyODStm25zs0LGYXmSST2JiQhoQ3zX3uV5ORkPDw86NSpU5NZDXy6q665lquuudbdYVSbl5cXJpMPG46W0gkPMrBz0FFe7V0OHy1ZQmSBjYGuymS70l7Ckvfe58lnn6nzmCVJatRJ/bhTk/sA/tohkX1gM23bJhIdHXXKsZ6ensybO4cNGzbgcDhISupw1nUDP3zxFf1setrJx66MbfDj1980eGKHyrjve+D+Bj+vcGFxa1Ywm82DgLmACnjbYrFMP+35u4GZwPE5t/kWi+XtBg2ykQkMDKRv377uDuOCNuGll5gy8QWW52Wh1Wh48plnqr3LIScjkxinimPlDWjpVLEzK6seom1aVKGR6F0uir97i8SINvyQY2TcqFE8+vRT9Ohx6m0avV5Hz56XnHdMRVE4fWNoE98MJAjn5LbEbjabVcACYACQBqw3m83fWiyWnacd+qnFYnmswQMUhLMICwvj9bffoqKiosb3qxPateOflFRi7C4kYJPGQVJi21rFtWLFSj755HPsDjv9+/Xh9ttvbZILs/7Zd5idv/7G1T0d3BbfgSDX3Syc//p/EntVXTHkWuamzAIbuIA/NBWMvPbqug1aEBoRd16xXwzstVgs+wHMZvMnwLXA6YldEBql2ixCG3rjDaQdOsTsv/8G4OKOXbj5tttqPN7GjRt56+3FBEXchFGlZ9mv36DVarj55pvO+9pt27bxz9p1eBo9uOKKK9y+Fa6oqIjctAJKft+IJ3BZ6w5sY8jxxeTV1qVLF54cNYKfvv4WSZJ4duiQ/9RWEITmxJ2JPQw4fNLjNKDrGY673mw29wL2AE9bLJbDZzhGuABs3ryZNb//gd5g4Joh1xEc3HRbU6pUKp4eNZKHKyqA2n1IAFiz5i+8Ay7FwzMSAN+Qy1m9+tfzJvbff/+DhYvewdO3Gy5nNr8se5bX5s3B29u7VvHURtu2bfmYCixpOcT+th5w8kCHi8kqURHi5azRmF26dKFLly51G6ggNFKNfZ7uOyDKYrG0B5YDi90cj+Amq1atYs7U6aj+2EjBL6sZ8eRTZDWDe9J6vf68Sd3lcvHXX3/x448/kpqaesZjDB4eOO2FJx7bbYUYPAznPf+SJR8RFHEzAaG9CAq/BlkTyYoVK6r1PdS16OhoHn7yCT43lDP+yB42pKQQZj1KfP4fZBar3BqbIDQF7rxiPwK0POlxOP8ukgPAYrHknfTwbWBGA8QlNEKff/gRV9uNREuV2+Gc1mKW/fIzd9x5l5sjq18ul4sXx40nb18qQS4VH1LBQ088zqWXXnriGKvNilYtU5i3DqfTikptoOToBh4ZN/q841ttVrw1Xicey2pPKo7NIrhTz5496dnz3xr7zoyDlGamEA/soXeNr9xPpyiwc+dO8vJyiY1tRVhYizoZVxDcyZ2JfT0QZzabo6lM6LcAp9xkNJvNoRaLJePYw2uA6lcBEZoFu8OO/qQbrDoF7DaHGyNqGGvXriVvXyp32ryQkeiIhoXzF5xI7A6Hg3EjR6NOz6GHTc2mvE34R0UybvpkoqOjzzv+pT178uc/3+IXejk2awElRzfStetLdRZ/bm4uaWmHCQoKpkWLmifN41vhNDl76yy5KwrMnfsa69ZvxWAMobhwEU8+8SiXXNK4iyQJwvm4LbFbLBaH2Wx+DPiFyu1u71oslh1ms/klYIPFYvkWeMJsNl8DOICjwN3uildwr74DBvDTl99ymR1KFCcbNDYm9rr0/C9s4goLCwlUVMjHNmwFo6HMWoHL5UKWZbZv305pZjb3OLyQZIkuiou5Bw5UOYkOH34PavUH/P3PlxgMHowZM4KYmJp3HjzZn2vWsGDuPEI0erLsFQy98Qauv+n8i/nORhUaiSE0EvZsqXFyVxSwWCzk5+fjdDpZt34bYXGPIKu0GP0yePXVeXTv3h1ZbpydEwWhKty6j91isfwI/Hja1yac9OcxwJiGjktofG68+WZUKjWrf/sNnU7PyLueIj4+3t1h1bs2bdqwRKkgCQ0haPhDLqV1VKsT29hsNhtGWYV0LPHrkJBlCbvdXqUqfiqVivvuu4f77runTuO22qzMmzuXOxzehDi0FKPnnc8+p2uPHoSHn7k5UFUZ4pNqlNwVBebNns2Wf9YRqNJy0F6GxjMcWVXZEU7vEYrT6aSiogKPKqxPEITGqmmWLRMuOJIkcf2NN3D9jTe4O5QGFRERwaPPPMXCefMpLs+jdVQcz41//sTzbdq0IVt2sY5SItCyUWUlPibuvJXmVqxYwaa16/Axmbj+5ptwOBy4XC5CQkKQarKn7DQF+QXoJRUhVCZNL1QEq/VkZWXVOrFDzZL75s2bSV67nvvtPmgcMgcVNR/lp1JRloXeI5iCnLX4BwRgMFQ/qZeXV6DT6cSVvtAoiMQusHz5cr759ickSWLIdVfRr5+obNeY9Ojeg7Zt2vL6G4tITT3E/AULeeThB/Dz88PLy4spM6bz5msL2J6TTby5PQ88+sg5x/vsk09Z/uXXdLVpyJZcPLTyd2SVBlmlokVoMJMmvYCHR+0ak/j7++FSSey1VdBK0pONnQxHBS1btjz/i6uousk9OyebMEWD5lhnwQi0OFFI27MIAJOvHy++OL5ae+XTjhxhyoQXyD6ah1qt5skzVMgThIYmEvsF7rfff+e99z7BL/waFEXhrbcXo9NpueSS85fqFBqGy+Vi7PMTqHCE42m6moNHdvHc6Od5fcE8NBoN4WHhvDR9WpXH+/qrL7nb7o2vpGYVJWj0YYTH34UkyeQc/pp33n2fxx8794eD81GrNYwZP55pkyahcpVT7nTy6GOPERQUVKtxT1ed5N4qthVLsZKv6PCV1GyQyoho0YK5ry+grKwMo9GzWkldUWDShIl0zLPRiSAy7Hbmz5lLdHR0o2qNK1x4RGK/wC1f/jumkAF4elUumHLYL+PXFX9UO7E7nU527tyJ1WolISEBo9FYH+FekI4cOUJ+fgktWw9GAgzGMI6kWEhNTSUuLq7a4zlcLtTH7slnoOAdcBGyVLk/3MPUgX37VtdJ3G3atOHdDz4gNzcXk8lUoynuqjie3GP27SG7xx146io772VkZLJixa+4nE569e5Dq1ax3H7v3bz11ttoJBkvH28mjB+PLMs1apJTUlJCfn4+naTKDyuhaIlU6dm7d59I7IJbicTexO3fv59XZ8wkIyebiLBwRowZXa03FZ1Oi7Pk317gTkc5Oq22WjHYbDYmjBlDQVomHrKKoyoXU2fMqNX2JuFfWq0Wp9OG4rIjyRpcigun04pGo6nReP379uPr39dwqU2HAwclR5Px8e8ASJQX7aZNfO3vgR+n0WgaJMkZ4pPw27MF/lpCdo87KMjJYvSzI2hrU6NSYOz3PzJx8ksMHjyY/v0vo7S0FB8fn1rdE/fw8ABJIttlJ0jSYFdcZLtsdd56VxCqq7FXnhPOobS0lBfGjaNjVhlPugKIPZzPhDFjcDiqvr/75puGUpD5K7kZf5Cb8RtFOb9zww3XVSuO7777Dg5lcZ/Ni9sqjHQplVn02vxqfjfC2QQHB9OhfSKZqUs5mr2WrNQPiY2NJDIyskbjDX/oQcIuasc3mjLyDCr0ugLSLPNIT1mAVjrE/cPrdoV8QzHEJ+HnLRP01xJy8gvoZNVwGV70lbzoY9PxyQdLAdBqNfj6mmq90E2lknnk8cf4SFPEN7oy3tEWkdS9K23atKmLb0cQakxcsTdhBw4cwKSoaEflQqeLMbKhvIDMrEzCw6p21dW6dWumTn2JX5b9iixJDBo0haioqGrFkZWeToRdOrGaOhItO7KzqzWGcG6jR4/k++9/YN/+VKIiu3H11VfXePX62rVr2bR1F34thwIKeek/cPtt12M2tyY2Nga1umYzAY3B8Sv3dvuXo3r8AazzPwLAGxX7y8rq/Hx9+vQhJjaWffv2EeAfQGJiYo0a1QhCXRKJvQnz8vKiwGHDhgstMmW4KHXY8TRW735hbGwsjzxc86Ik5jZt+HL137S3u9AisVllpVV8u2qPoygK77//AT/99DMKCoMHDeKee+6qk+1XTZ0sy1xzTd20Gv3xp+X4hlyOt2/llaXLZWPz5mQSEtrwxx+rCA8Px2w218m53MEQn4RX7q/EH/2bg48NI3neOyzXlHFN72vr5XwRLVsSUYer/QWhtkRib8IiIyPp3L0bS9auJ9KhYq/KwZWDr2rwtpv9+/dnr8XC3F9/RSXJREVG8sxjj1Z7nG+//Y4Vv62npfkxAFb+/jF+/n5cd+01dR3yBU2lUuFy2U88VlwOcrIymDR2HFGyjkOKlYFXX8Vtd9zhxihrJ7zHZThW/UxE/l8ceOIOiha+w/8+/4rWCW0wm5t/YSPhwiYSexP3xDNP8/fff5Oens6A6Cg6XdTJLXE8+Mgj3HnPPdhsNnx8fGo0xrr1m/AO7IVGW/l678BerFu3SSR2IDs7m48Wf0DB0aN0vLgL11x3XY1nMq4feg2TJ7+M4rKjKAoF2SuRnTYecvnjhYoyDCz85lv6DxxY49a4OTk55OXlER4eXqMV53VBF9eB3F++oZ/aiPfYV1m6ZCWTJk3lgw/ePVG5TxCaI5HYm4Hu3bu7OwQADAZDrbY0mUw+ZOdnA5VTxPaKbHxDz/8h4fDhw3z/zTfYrFb6XHYZHTp0qHEMjVFhYSEjn36GpHKJVi4Vy/d9Rl5uHvfeP7xG47Vr144JE8bww4/LkCXoOGQ4n771Ll7WY1vekPHT6MjPz69RYv/ssy/47LMvMBj9qSg/yvNjn6N9+/Y1irU2Dh48yId/HuTGnmY68znccQNzpn1DQUGBWLkuNGviY6vQaNwx7FbKCteRffgLsg9/QVnhOu4Ydus5X5OWlsboESOoWPEP2tVbmTV5Kv/8808DRdww1q5dS0u7zKWKJ60lAzfYPfnp559qNWZCQgK33Hw9N998Az169KBCVtitlKOgsFepoMDlqFGVuNTUVL748htatn6c0JgHCYy4mWnTZ+ByuWoVb02EhIRQUnyEX/d7cDitnIsOfMIDjzyIt7d3g8ciCA1JXLELjUZISAjzX5vLP//8g6IodO/+BL6+vud8zY/ff09Hq4ZLJS+QwMcu88XHH9OtW7cGirr+KYpSp+OVl5czbtwLZGRU7lwIDw9l1NixzJ4xg6+Ks/AyGnl+3IQaFRk6cuQIRq+WaI71ePf0iiHL7qS4uLjGt2hqKioqimuuHsy3383n07RgLm/tw1W9ZPKc3fEU73xCMyZ+vIVGxdfXl8GDB1f5eIfdzsk9zHSSjMPe+Pq0//j99/zx6wr0ej03DrudxMTEKr+2a9eufLR4CavtpQQrMn9rbQzqf3mNY1my5COOFnnQMuEZQCH70OesXbuedz/4AKvVWqWucGcTHh5OSdEhTLYCNFoTJYV70Go1eHl51XjM2rj99lvp1asnubm5RERE4FOYgceGpRzuPOxEhTpBaG7EVLzQpPW9rD//aGzsVMo5oFj5WVNO/8GD3B3WKb796iu+/uBDOqYWELU7nWkvTiIlJaXKrzeZTMyY8wp0T8TSOpR+t9zAvQ/c/5/jMjIySElJwWq1nnO8/ftT8fBOREJCQsbgnciBA4cAapXUoXKnxu233cyh3fM5kjKfvPQvef750W5drNayZUs6duyIv78/6phETJ4aWm5YSonVfv4XC0ITJK7YBUpKSjhw4ABeXl7VLk7jbgkJbXh2zGg+//Bj7HYbQwYO5YqrrnJ3WKdY9uPPDLZ70FKqLNVbYHfyx8qV1arzHhwczNOjRp31+fkLFrJ61Rp0em9Qypk8+UUiIiLOeGxUVATrNu7A01S57au8aBeRCXW3D/uaa66iV6+e5OfnExISUm814mtKHZOIaX8yHLtyL63QEezT8GsABKG+iMR+gUtJSeGl8RPwkzUU2K107tGNx59+2t1hVctFF13ERRdd5O4wzkqtVuFQ7Bzru4JdApW67n711q5dyz9rtxDR5mlUso783PXMmDmH+a/NOePxd955OxbLRNIsc1EUhdCQAIbdfu5FitVlMpkavJ5CdZyc3IuTBnKksCXBPi727dvHq3NfJzc3m1axcTzzzBP4+prcHa4gVItI7E2Iy+Xil59/Zt+eFFq0DOeaa6+pdfnPOS/P4LIKHW0lAzYMLP5nHevWrePiiy+uo6iFIbfczLvzX+cSu4MySWGb1sGMaqwjOJ/Dhw+j82iFSq6cRvc2JZK68+ezHu/h4cErr7zMwYMHkSSJiIiI/0yVW21WtmzegsPhoH379m67R16fTiT3LcsISxrInnQ/xo1/Ae/AgYTGxpKe8zcTJr7EvLmzRZlYoUkRib0JmTd7NvvXbSbBpuIfzXo2r9/Ai1On1Or+ZVZeLnHH2k5qkYl0qMnIyKirkAWgd+/eeHh4sGrFSnR6PdOuH1qnne8iIiKwli7H6eyDSqWnqGAboS3O3StAlmWio6PP+FxpaSnPPfMM6oJStJLMW2oX02fNIiQkpM5irg/79+8nJSWFgIAAOnWqWqGmk5N7i9juRLcZgFPpCIB/i8s5sH0KhYWFmEwNu6JfEGpDJPYmIj8/n3/+XssTLj+0kkwnh8KbB1LZt29fjXpyHxcRFs7WI4V0wUgpTvaq7Fx1ljd8oea6dOlCly5d6mXsiy++mJ6XbGXlb7PR6byRZTvjp7xY4/E++/RTAnNLucLliYTEX9ZS3l24iKefq7zH39jumQOs+PVX3lv0FnGSjnTJQVzHDowY/VyVXns8uVfs+J3hV7Tms/VeHM0uxukowelyoNfr6zl6QahbIrE3ETabDa0so3FVzgnKSBhk1XlXQJ/PyLFjmDh2LOvKCyhz2LnumuvcUiXMnRYvXsIPP/yIgsKgyy/n3nvvbnKNZx566H6GDr2WkpISwsPD0Wq1NR4rNzObcKd84u8gHA1f79rNsGF3AnDxxV0ZMeJpVCrVOcfJyspizZo1yLJMr1698Pf3r3FM5+JyuVj0xkLudfkSgBoHLt7ZvIXk5OQqbytUxyQSpGynaP86buyq4p2fCjls+YahQ4ag19dup0BNORwO5s9/g9WrV6PWaLjpphu5fuh1bolFaFpEYm8igoKCCAwJZnl6Pu1dWvZJdip0alq1alWrcVu0aMHCd94hOzsbo6cRb68LqyrX99//yPIV/1Q2npEkfl/1CSaTieuvH+Lu0KotKCiIoKCgWo/TpkM7ftyyDbPdhQb4RyrDruiIbT8KBdhp+Yj//e8zbr31lrOOkZqayrjnRtPaocYJfPW/z5gxZ3adTuenHUnjtVmzycjMAIcDjQRIoEYmUNKQn59frfG0se2IVRQ8srYy4tZLSM55jku71O73qzbef38Jm7YeJirxWVz2Cr74fAnBQYH07HmJ22IqL69Aq9WiUomd0o2Z+NdpIiRJYuLUyWg7teVHP5mitlFMnTmzTqYJVSoVoaGhDZrUS0tLmfrii9x8443cf9fdrF+/vsHOfbL16zfi7X8pGq0PGo033gG9Wb9+0zlfY7VZ+eLzz3n9tddYuXJlA0XacAZfcQXt+/RkDtnMIJtMvQrf8MHIsgaVrMFo6sKOnZZzjvHR4g/oYdUyyOXFlS4vkipUfPbxx3UWY3l5OeOeG0N0ai53VXhysWTkPVcudsXFYWykOiuIj69+Fzddq/aEh5honb2Fvm0MZBW67y1yw8bNmIL6oVYb0Rr8Mfp3Y8OGc/9s1peCgkJGPf0Mw267jZtuuIEvv/jCLXEIVSOu2JsQby9vRowd7e4w6sTsGTNx7djLo05fsgsdvDpjJlNmzqjVPvpDhw6Rn59PZGRklbda+Zh8SM/JPvHYZs3CJ/DsH3AcDgfjRo1GfSSHlnaJz1f/zYGUvdz34AM1jruxkSSJBx55hHsfuB+n08Ubb7zJdsth8G0LgLUsleCYc88MlBQVE33SdYOvIpNZVFRnMe7fvx8vJ3Smsuxtb8mLTXI5L7sy8fY08swzo2rcmU4dk4gx4yDsWAZt/90K19B8vL0pqMjC4Fm5ENJhzcHHFNbgcQDMe+UVTAdzeE4JohgnSz75jOiYGDp27OiWeIRzE4ldcIst27bxDIHokImSVCTgYNu2bTVO7O8sXMTvK1YSoNaR7bTy3Ljnq7RWYNjtt/DMMyPJdhwFJCpK93HX2OlnPT45OZnSjGzucXghSRLt7S5e/flnht19V62rtjUmObk5zJ0xi9SDB/H388NZYSPzQDqgoFFXcNedL5/z9Rf37MHyw5/hZ9fgQuEvrY1+cXFMHD2GoqIiLurShdvuvOO89+kVRWHnzp2UlJRgNptPfGDz8PCg2GnHiQsVMlYUXCqZt95eRGBAYI2/b6fTydtvv8eq1avpGB7ITdcUENbzJrck9+HD72Lc+Bewl6fhcpUjObMYOuTRBo3hOMuePQx3eSNJEt6oaWNXs2vXbpHYGymR2AW3MBr05JU7aIEWBYWjsqvGe6WTk5P5a+XvPOgwoXfIHFDUzJr+Mh989OF5XxsUFMT8+XP5+++/URSFbt0eP2dLT6vVioekQjpWbUaLhCTB6GeeJS0znWD/QJ4ZPYqYmNgafS+NgcvlYuKY54nLq6C/4s3ezBJWGRw88PBdGAwG2rVrd94PMddedx0lxcV8+NPPyLJMn8sG8v3X39DbriMJDat/Wk5JaQkPP/bYOeOYPmkSB3buxiRryHDZGP/Si5jNZqKjo0lo344Pt+0kyiaRonPRp1e/WiV1gA+WfMif/+wiOOo+DjnK+OiLb7lTrSGs25AGT+5xcXHMfXU2GzasR6PRcsklPdzW297XZOJwZgUJkgGXopChgaSAALfEIpyfSOxCnbFarSx+5x327NpNSGgL7nnw/rOuhL7vgQd4a8EbJDo15KpBCvanZ8+eNTpvZmYm4ZIW/bGp3yhJS0nZ0cqdBFVYHW4ymarceKZNmzbkqFyso5RItKyTK5AVibj0Im4gkD3ZFbzw/DjeePvtGnVHawyys7MpLSyip2JCQqIjRpKVUnx8fKq8Y0KSJIbdeSfD7qxcSf/dd99hdmm56NjU+TV2FW/88cc5E/vq1avJ2LmH4TYfVEjsUmRee2U2899cBFTu6Pjtt99IP3KEi2Niavzzc7K//16Hb/DVaHV+aHV+7MtqzYbtyQzufBFp8plL9NankJBgrmoEJZIffeopJk+cyC7ZRaHixC8ynH79+ro7LOEszpvYzWZzayAMWGuxWEpO+vogi8Vy9vJWwgVn6osv4kw5RHeHlgNHdjI6ZQSvvfHGGRf49e7Th9AWLdi+fTudvL3p06cPGk3NquhFRUWx2FVBIVp8ULOdcgL9/Gu15etsvLy8mDJjOm++toDtOdmER8Rh3Lmbi22VCaud5MFmXBw4cKBaHdwaEw8PDyqcdipQMCDhxEWR01arDyoajQabDDgrH1tR0MjnnobPzs4m3C6hOjY7Einp+D7/6InnZVmmf//+NY7pTIxGD6zWfAzGynvZTns+Bn3jLszTEBISWvPq6wvYtXMXRqMHSUkdxcr4Ruyc/zJms/kJ4BvgcSDZbDZfe9LTU+szMKFpKSwsxGJJ4RqHJ5Ho6KMY8Sh3sGvXrrO+Jj4+niFDhtC/f/8aJ3WAVq1acdMdt7FIzme+toDVngpjJoyv8XjnEx4WzkvTp/HGO+/w2FNPUeqwU0blFK0NFwUOG97eTXfboLe3N5cPGswSbRG/KcUs1ZTQun07YmNrfnvhkksuIUMvs0wuZpNSymeaEobedOM5XxMXF8dutYNinCgorJfKaBUdU+MYquK+e+8kL/07co78TNahL3FU7OHii7tQbrEQLh9y6yp5dwsMCKBXr0vp1KmTSOqN3Pmu2O8HOlkslhKz2RwFfG42m6MsFstcTrS0EITKLXMuXDhQ0CKhoGBXXGddHOVyuXh93mus/ON3JGDggAHc/9BDNS6Pe/U119Kv/2UUFRURGBiIug6brJyLj48PV19zNYt/+JlWTjUH1U66dOt21s5qDcVut7Njxw4URaFNmzbVXth37/3DSUhsy4EDB+gcGkrv3r1rFY+XlxevzJvLV198QdHRfO7sejG9evU652uSkpK48oahvP7JJ6glFYFBgUx87uwd7upCYmIiL788hbVr16LT6ejb90l8fHxw7E/GdqymvLtWyZ/O5VJITz8CkkSL0BbIsnhLFipJiqKc9Umz2bzDYrG0PemxJ/A5sBPoZ7FYkuo9wvM49oHjwFczX6aFWMzhVrNnzODwhq0k2tQcUjspCjYxc+6cMzaq+fTjj/nnq++53u6JAnymKab/rTdy7ZBTC8Mc7zHu6+tLu3btGug7qb7NmzeTmppKixYt6Nq1q1tjKS0tZeTI0ZSUSUiSjFpVzqyZ0/H19XVrXDVltVkpLyuv0hbGlJQUtm3bhre3N717967T2zGO/ckUlNgru8E56i+5u1zKeZN0eXkFL40bz5FDhwAIj4xkwuRJbquSJzSsnOx0nn7kaoBoi8WSevrz57s8yjKbzUnHHxy7x34VEAA03ndZwS2eGjGC3rdcT17neGKu7M/UWTPP2n1u+6bNXGzToEfGgExnm5Ztmzafcsw///zDs088yc+vv828yVOZM2NGQ3wbNRIdHU1O7lF+/30Nv/66wq2xLP3wYyqcIYTGPkBozHAkTTzvvLvYrTHVhk6rq1JSX7VqFS+OHUfKR1+z7K3FjBkxErvdXmdxqGMSMXlq8N+xjDD14Tqflv9t5W/cdtMtDB0yhImjx1JUXHzWYz9auhTVwQwetfvyqN0XOTWdD5csqdN4hKbrfD+ZdwKZJ3/BYrE4LBbLncC559GEC44sy1w3dCijxj3PXffcc85mIX4BAWTKzhOPM1VO/AJOXUE/b84cbnF4MdRq5D6bN7s2bmbLls2nD+V2paWlPPX0SNZuzGV/egDvL/6Mjz6quypr1ZWRkYXeI+bEvTK9ZwyZmdnnfE1z8PbCRdzk8OQylyc32T0hK4/Vq1fX6TnUMYkYTX51ntwtlj2888ZCbrN58pwUjDrlEHNennnW41NT9pJgVyNLErIkkWBXc2jvvjqJRWj6znkj0mKxpAGYzeYzbexdVy8RCReEYffczajtz5BtL8WFQq5OZuYdd5x43mazUWG1EipVTh+rkQlFQ17e0bMN6TZ///03kjqIwLArAfD0bsVXX83jtttudUs8CQnxHPh5HUZTayRJpiR/Ix2717wDYFNRVlGOP5X7vCUkfJ0yJSVnv+qtKVVoZOWmvTqsTJecnEwbl5ZgqXKGq4/TyGu7dp71+IjoKPbsSyPOWXkrdY/aQXh0VK1iEM5s1apVLHrzHcrLSunQoSMjRjzV6LeyVvXj5iYgB9gDpBz7c6rZbN5kNpur1vhYEE4SFBTEvDdeZ+DD9zD44fuY98brpxSG0Wq1hIeEspYyFBSysbPXVVHrpjf1weF0IMv/3suVZC0ul/Mcr6hfN1w/lIT4IPZvn8b+7VOJDNdxxx23uy2ehpLUrj2/qkopw8VBrOySKmjfvkO9nEsVGlmnV+4mkw85KoXja54yFTtexrMXo7ntzjspCQtgkbaQRdpCSsMDuP1YzQCh7lgse1jw+lv4h99KTLsxpB5xMXvOa+4O67yqunR4OfC5xWL5BcBsNg8EbgDeBV4H3LtaSGiSvL286dvn7EUuxr4wkUnjJ/JHXjayLPPwo48SGRlZZ+d3OBwUFRVhMplqvBofoEvnLnyw+EPyc/5Bqw+hMOcPevWqXEWenJxMQUEBcXFxNa5dXl0qlYrRo0dSUlKCy+Vq0lvvquPpUSOZN+sVFiRvx8tg5MnHRtSq98D51OWVe69evVj2/Y8sPZKFvyJjUSp4+vGz7wAwGj2YMWc2qakHQJKIiowSW9DqQXLydoym9hiMlfX6/UIHsm3rq+4Nqgqqmti7WSyW+48/sFgsy8xm8yyLxfKA2WwWyzCFehESEsKCtxZRVlaGXq+vVfI93bp163jllTmACrVaZty4MSQkJNRoLH9/f6ZPn8I77ywmv2A3/ft04Pbbb2H6y7PYvn0Peo8gSgrfYNRzz9Dpooab4DpefjQ1NZXFiz+kuKSUHt0vZsiQa5tcv/mqMBqNjJk4oUHPWVfJXaPRMGXmy/z119+UlBRzT2LiebdMqlRyrWoLCOfn5eWN05aDooAkgbU8G6ObyvpWR1UTe4bZbH4O+OTY45upXDGvAty/oVNo1jw8PGr82r179/LdF19it9npN/hyOnfuTH5+Pq+88irB0XfiYWxJcYGFSZOn8f57b9d4e1RERAQvvvhvUZwNGzaQvGMfYXEPI8saPEypzJk9j6VLG3Z1emZmJqPHjMM7oA9anR9ffv0rJSUl3HnnsAaNozk7PbmnFUcQ4lX9WzFqtZpevS6t8/iEmuvdpzff//AzWamLUWv9Kc7fzrPPPOnusM6rqon9NmAi8PWxx38e+5oKuKnuwxKE2tu/fx8TxjzPJXYtXkjM27aNB596Ai8vLwyewXgYWwLgZTKTn6UhJyeHsLC6aYuZm5uLziMMWa5cDOXhGcHhkkJcLledzjycz59//omHdyJ+Qd0A0Oj9+WXZuyKx17GTk7tHSBx76F2j5C40Ljqtllkzp7N6zWpKiotp3/4WopvAIsUqJXaLxZJLZVnZM9lbd+EIQs1s27aN9PR0IiMjSEhoA8BP331PV7uGrlLl1JmHXea7zz7nyedGUVaSjd1ejEbjhbUiF7u1pE4LuMTFxVFSsBRv/1y0+gDyMlej13lid9jRaRvu7pUsy6CclGBcjmY5Dd8YKIEtKM/NRXN4N/FQJ8n9wIFUFsx5ldzcXFrFxfHY009hMvnUTcBClWi1Gvr36+fuMKqlSondbDYHAqOAtsCJjh4Wi6VpfbdCs/TuW2/x5/KVRKDhE2xcMeQ6brr1FlwuF+qTKh/LSDhdLkJDQxk69Fq++up1jF5hlBYd5oEH7q/VlP/pYmNj6dAugXXr5iJLEt6ShpayiqXvLea+Bx847+sdDjvvvreETZu3YPL25v7776nR/dTevXvz+RdfkZuxErXWl+Lc1Qwdcu35X1hPioqL2LljJzqdjnbt2jVY6d/6dujQIV54fhySzU6rEBM3DxlCfIfaJffCwiLGjxlD7wotl2NgffJeJk+cyMxXX0V8NhPOpaq/VR8Cn1JZde4h4C4qt7wJglulp6ezctlyHnL4okemBD1vfP45AwcPYsDgwUz6628MdhktEis0FQy7tnIK+pabb6J7t65kZmYSERFBaGho3Qdns3Mt3sRJenRIHHBa2bTbUqWXzpv3Olt3ZOATeAX55Vk8P24i8+bOJigoqFoh+Pn58cqsGXz6v88pLk6n+9W30L+/ez6PHzp0iHGjRxPsUlOqODGGBjF5xvQGncE4mc1m4+2Fi9iyaRNeXl7c9/BDtGnTpkZjzZgyhe4l0BETJYecfP3Nt9xqNOJ5SVegZg2Odu/eRSgakqTKD5yXOY28kpZGUVERPj4Xxk4HoWaqmtj9LRbLO2az+UmLxfIH8IfZbF5fn4E1RllZWVitVsLCws7a3ESoPofDzmeffcHevamEh4dy6603n7HV65kUFhbgq9ahd1Tet/ZEhbdGS1FREa1bt+a58eP46pP/4XDYuXPwIPr2/Xd7XWRkZJ1unztdSHgYh3bsJdEpISFxQOUkNKxqHyD+/HM10YnPoVYb8DCG46g4xIYNG7jiiitOHONw2Pn8f59hSd6Bf3AQd99334mV8KfEERLCk0+cve95Q3lz/gJ6lKvpjBEFhS+O5PDD9z8wdOjQU47LycmhrKyMsLAWZy1JXBfmz3mV7A3bGOLQk1NQxOQXXmTWq3No0aJFtcZRFIW0zEzukCv/bT1RUZpWRHlpYa3iMxgMFClOXIqCLEmU48LhclW7oY9w4alqYj9ecDnDbDZfCaQDZ6pG1yy5XC5mvzyDLZs2oZNVGHy8mfRy022q0dhMmTqDAweLMXi3Z/+hPWzbNp5Zs6ZX6cNTREQkBYqD3Uo58ZKeZMqxq1WEhFT20G7fvj3t27ev72/hjG6+7Tae37yV9/IKUElgN+qZPnx4lV6rVmtwOstRqyvL8rqc5f9pbTvtpcnkb99Ne0XP7h17uX/VKua+8Ua1r+obSk5ODj2o3HUgIRFul8jJPKViNQvmzuXP1WvwUKlRGT2YNH1avX0/f69by5OuAPTIBEoaUhUnmzZtqnZilySJYL8AUvIraC0ZsOLikGzHYDAgObI5UlGzLXCJiYkERrXk0/1phNtgl9bJdVdeKxq9COdV1eW5k81msw/wLDACeBt4qr6Camx++eUXDm/ezqMOXx6y+RCZV84bc+e5O6xmISc3h507dhEUeSs+fu0JirienNwi9u6t2ppMo9HIuBdf4A8TTHVlsN5PywuTJ9VpV6+aMhqNzJo3h4fHPcfwMSOZ+8aCKjUzAbjxphvJSl3C0ey1ZB/+BlnJ5ZJLLjnxfHZ2NjuTk7kZXxIlD66XfdHaFWZNf7nK8TkcDv766y+WL19ORkZGdb89AA4fPsxr819n1iuvsnnzuev4t27dmvUqKy4UynCRrHXQuu2J5pGsWrWKHX+u5VGnHw/ZTLTJtzN31qwaxVUVOrWGYv69/10qKzW+Gn52zHP8oreyWF/CQnUBXXpfSmBEdK0q08myzAtTJnPZvbfjd11/7nnmCYbddVeN4hMuLFVdFf/9sT8WAn0BzGbzU/UUU6NzcP9+4m0yGqnyl7OtS8s3Bw+5OarGZ8OGDWzeuBEfX1+uvPLKKtVTdjldIEknrdSWkGVVtUqyms1m3nr//QbfSlYVarWmRu1mb7h+KCHBQWzcuBmTbwRDhjx+yuI+l8uFpCicvIZKC2SddgV8Ng6HnedHjqY8PQtfZN5zWRk9/vlqzW6kHUlj5KgxePp2RVZ5sf7lOTzx+IOnfAA52QOPPcq0F19i5t4UXApcNfDKU/q8Hzp4kFibjO7Y71kiOhYfTqtyPNV125138On7H9DRriFPDUVeBnr27FmjseLj41n4ztscPHgQbx9vwsMqK5UZkc5bvEZRYNeunRQUFhIXF0fgSe2n1Wo1VwweXLNvULhg1WZJ6jPAq3UUR6MWHhnJSu1fdLYrqJCwSDbCw6PcHVa9stlsLHh1Hn+v/QetRsOtw27nyquuOuvxP37/Pf9bvJSL7GrSVPDbsuXMfm3eOTu8QWXN+MiIluQc+goP3yTKiyx4GGRatap+05LGltRPVlpaypL33udwaiqRsbHccfdd5/276dmz51kTTXBwMCZ/f77OyaejZCRFKacChajzVCs7bsWKlTiOZHGH3RMJiRRFZuFrr/H6W29V+Xv68cefMZo6ExBauW5Bq/Pl0/99edbEbjQamTzjZUpLS9FoNP+ZVQlrGc4/Whc97C40yFiw0qJFPSxqPOaKK68kODSELRs30sJk4oorrjzvv8m5GI3G/yy+O1/xGpdLYebMV9i6zYLOI4Cy4kOMHfMcHTq45/aR0DzUJrFfMBsuBg8ezNYNG3l9504MsgbFqGPyk2fb1t88vPvmm2Su38JjLn9KrU4+XbyEoOBgunTpcsbjP1qylGEOTwIkDbjg8+IS1qxZw4ABA855HkmSePHF8bz3/hL27v2bGHMo99075T/3k5syl8vFhNFj8M7Ip51Dza6DGbywJ4Xrb72ZVb+uRKvXce31Q6u1kE+SJGa8OoeRTz7Fl7l5qFQyOk9vHnv6qfO+NjMzk0OHDhFsr7zXDRAqaSksqt5iL4fdgSSd2vzG4XCc93Vnm8np07sPm/5ZxxsbN+Gp1mDVqJg8YkS1YqquThd1qvcyv+cqXrN+/Xq2J+8jLP4RZFlDaeFeXpk9lw8Wv1Pl8R0OJ199+SX7du0mNKIlN91yc60+oAhNX20Su1JnUTRyKpWK51+YyKFDh7BarURGRjaKe7jnU1FRwapVqygrK6Njx47VShybN27mWoceD2Q8kOlk17B548azJnarw46Rfxe7GV0SVqu1SucyGAw88vD593Y3VampqRRm53CL0wdJkoh16Jhz6BCvzZjFpQ495ZLC2H/+Yfors2jZsmWVx/X09OSNd97m0KFDVFRUEBkVec6tY3a7nckTX2B/yl5QXNhcDhIkHUGShtVyGW0TqrfVq3//vvzxxyQ0OhMqtQf5GT9x801nn9U5H0mSeHb0cxw+fJiysjKioqKazQrwE8k9M+WU4jU5OTnojC1PVCg0eEVzOCUPl0tBlqt27TRr+nRytu6irU3F3u0Wxm3azMtzZqNWi507F6pzJnaz2VzMmRO4BFxwHwnP15ShMSkvL+fpZ0ZSYfNCpfHh448/Y/ToEXTs2LFKr/f29iQnv5CgY/2hc1WQcI6FX90v7soPG7bRy6EnR3GwS7Jy30UXnRLP3JmzWL95E3qtljvuvptBzeje4Q/ff8+HHyzBarfRtXNnnhwx4kRSkiTplF8iBXA5HFwjmWglVW7rc9iL+fmHH7n/oQerfe6q/lz+75NPsKYc5DGHLxLwraqID5SjOBSFxLgERj37TLXOazabGTNmBB99/Bk2m41bb7mWq66q3I5ntVn5YPGH7N69h5DQYO67965T2vKeS3U+3DQlZ0rucXGtKCn4FO+AS9FofSnI+ZvIqNgqJ/X8/AI2b97CU04/1LJMO4fC29k57NljqfGefKHpO2dit1gsXg0ViFC3li9fRoXdl5ComwEweMazcNE7LFo4v0qvv/ehh5g08QUOKS5KJRf5XjpGXX31WY9/7OmneGfRIr7euAlvb2/GPzzqlG1DC197jZJtFp4liEKbk4/ffZ/QFi3o0KHm/bLLy8tRqVRunz3ZuGkjny1ewp0Ob7yQ+XHLLt5c8DqPP/M0ULlfPjCsBd8eziLerma3xoFa0aBx/vvmrVbA6Tz3NHZWVhYLF71NVlYObdqYGX7fPVXe7w+QmrKXBLsa1bGFiu1cOhzRoUyZNeOcWwvtdjt2u/2MlfmSkpJISkr6z9enTp3BwTQrnr7dsOw7wMiRY1iwYG614m2O/pPcW/TmjmG38N5785BlNb6+vox9aWKVx3M6nagkCfn4nVFJQi3JOJ2iN9eFzK31HM1m8yBgLpXNZN62WCzTT3teB3wAdALygJstFktqQ8fZFBUVFaPS/Lu6VmsIpCCzpMqvT0hIYNarc9i0aRM6nY5LLrnknCVXtVotDz9+9nUHW7ds43anAS0ygch0sGvYtnVLjRK71WplxpQpbEtOxqXAgMsu48FHHnZbDfStm7bQ0a4hQKr8dbrUYeDzLVtOPC/LMi9MncLHH35I6oFUzLExdPX15duPPuUym0I5LtZpbEw8x3qE0tJSRo4cg867MwavjmzcspbMKdOZPOmFKscZHhXJ3l37aOOonD9IUTloGRVxzqS+dPFivvr6G2QJ4mJjGTtx4hmL4JysqLiIHTuSiWn3PLIk4+ndiswDh9i5cycXnTSL426lpaXMnDWH5O3b8DB68cjD99OtW7d6P+/pyZ3eV3P55QMoLS3Dx8enWuVi/f39iYqO5vsDR2hv17JfZcdpNBAfX/3Fp0Lz4bbEfqzl6wJgAJAGrDebzd9aLJadJx12H5BvsVhamc3mW4CXqWwZK5xHUlIS3/8wA0+f1mh0Jo5mLKPjRVWbhj+uRYsW1S7WcTbe3l7klJXjK6lRUMjRQKsq7uk+3XtvvU3Frv2MUIKwo/DJH2v4OTqKwSdVZWtIPr4m9qvh+JbobMWOt/epJT/1ej333HffKV/T6vX8/stydDotz912K/Hx8Wc9x44dO5A1/vgH96oczyOcXVsnU1paWqVthVBZMGfi9mQWpWcgI+Hh78dTp8V0sjVr1rDqh595kgD0iswv+zNYOG8+I8aOPud5ZElGURQUxQmSXHnrweVsdLsWZsyczeEMmejEkVjLs5kzZz7TpwcTHR1d7+c+Obl7BndFo9HUqLmLJMH4l15g8TvvstayhxZhYUx78IFmszZBqBl3XrFfDOy1WCz7Acxm8yfAtcDJif1a4IVjf/4cmG82myWLxXLBLNyrqcTERO4ffjfvvf8B1opyOnfpwmOPPuS2eO5/9BGmvTQZMy6KZBd2P28GDry8RmPt3rGD3g4dKiRUSLS3qdmdnOy2xH7FFVfw27JlfFpQjKdLxiJZGf/oqPO+btCgQQwaNAiA3bt389dffxEbG0twcPB/jlWr1bhcVhQqF7goLhsKrmqVNtbr9Ux7ZRYHDhzA5XIRHR19ziYsu3fsJNGmwkOqPEcXl4HPd+8673k8PT25uMvF7Nj9IUbTRVhL9+NphLYnFaNpDJK3byWm/RhUsg4Pz0g8fRPZvn17gyR2qEzumuL8Wo9jMBh46LFH6yAioblwZ2IPAw6f9DgN6Hq2YywWi8NsNhcC/kBug0TYxPXv389tDT9O165dO2a+OputW7di8DDQo0ePGjf/CAwK5nDmPlqiRUHhiNpF3LESsu5gMBiYNXcuf/31FxUVFTzQsWO1msrMf3Uum/76myCVlkOOCp4c8Sxdu576q9CuXTt8PFVkH/oCrUcEZYWb6de3f7XvWcuyfEqXuN9++41tGzZiCvBnyA3X4+3170xDYEgwf2lAcShISBzGSkBAYJXOM2LE03z55dfs3GWhRZtQBg68g/HPjWbPgf34efnw+LNP12p9RV0wGDyxlufgYQxHARy2HLy8G35ZkakWZWcF4UyaR89EoUkICwsjLCys1uPc9/CDjB4xksOOUqy4wNeboTfcUAcR1pxer6dfDXo2b9++nS1//8Nwuw9au0w6Gua+MpuP/vfpKcdpNBpmzJjK5198SUZGNomXD2JwLXcVfPzhh/z2zfd0tmk4pHIxcvUaXl0w/8Qe6MGDB/PX76t4Lz0TL0lFumRn0hNVq9+gUqm48cbrTzx+6pFHicws4hqCSCuy8fKUqbw6/zW31rV/6KHhvDZ/IZ6m9jhsOfiZZC6tYeW5mtJ6+eJ/nsp0glBd7kzsR4CT97WEH/vamY5JM5vNasCHykV0wgUsJCSE+QvfIDk5GbVaTYcOHWpc0CY3N5ecnBzCwsL+c1+8IeTm5hKKFu2xtg2haLDabVRUVPznatxgMHDHsNvr7NxffvklD7v88JbU4IL/lZbwzz//nOiAp9VqmTprBlu3bqXCWkHbNm3x8an+feDS0lKOZGZwuxKEhESMpCdKdrJnzx63JvaePXsSGhrKtm3b8PbuRO/eveq1m9yZ/Kd4jVzz/u2CcJw7E/t6IM5sNkdTmcBvAW477Zhvqez9/jdwA7BS3F8XoPI+bm1XMH/3/Q8s+WApBmMgFWW5PPvsU1x88cV1FGHVxMbG8rarnFw0BKBhI2UE+wfU+7YwRVFwulzoTuoDpVOk/1SOU6lUtV7JrtfrQYICxYkvapwo5CkOt3yQOl1sbOwptybc4WzFawShpty2TNVisTiAx4BfgF3A/ywWyw6z2fyS2Wy+5thh7wD+ZrN5L5W16c+9HFcQqigjI4OlSz4i3PwooTEPEBx9J6+8MgebzdagcURERDD84Yd4T1XALDmHzb4axr5Y9X3MNSVJEj27d+drdSlp2NhAKQcke71sR1OpVNxz33CWqIv4RVXKB9piItuYa9Qcp7lShUZiNPlhyEwhPv8PMotF1Tih5tx6j91isfwI/Hja1yac9OcK4MaGjktoWNXpynb06FG++eorSoqK6dbzkrOWuD2fjIwMPLxaoNWaAPAwhiOrdOTn559xVXp96tuvH71692bfvn0cOXKE3JycE93B6tPjTz/Nkvfe4/dNW/DxDWbKQw/i7+9fL+e64ooriImJYc+ePfTx96d79+5uqzvQ2JSXl7N582ZcLhdJYYGVyZ2zX7k7nZW/L+KvTzgbsXhOcBuLxcK06bPIP5pDUFAIY8c+d86tRgUFBTzzxBOYy8Dkklnw19/cOvweLr98ULXPHRYWRlnxEawVuej0AZQWH0BR7FUqe7p27Vp27txJYGAgl19+eZ00rFm/fj3zXplNjKwnBzsx7RIZ9fzYek1+Go2Gex9ouBr9rVu3pnXr1g12vqagqKiIkU89jWepDTUSb2sUZo8becbknpeXx+QpL7N/3x70BiOPP/YIPXueuZOecGETiV1wi9LSUl58cTKm0KsJjkmg6OgWJkx8kXfefvOsJWJ/++03osphgOIFEoQ5NHz+4Sc1SuzBwcEMH34Pb761EJ3eB4ethNGjR543Sf/vk0/45ctvSLSp2KmB1St+Y+p5SrJWxfw5r3Kzw4swtDhReG/7DjZt2kSnTvXbeUxwr08+/IjIQisDXZXb7NbYS3n7y+959p7bMficOos1efJ0iirCMF80jIrydOa99jotW7YkMrLx9LAoLS1jydKPOHzoCK1aRXHbbbeIYjluIBK74BaHDh1Eo/PF21TZqMLHryPFuavJyMg4axc6m82G/qSlkwZkbI6KGscwYMAAunXrRl5eHsHBwedtdel0Ovn00//xGAF4SSoUh8Li9Ew2b95M586daxyHw+GgpKKCFrIJABUSIag5evRojcdsbLZs2czOnbvw8/fjsv79G3z1eWOVl51FC6fqRBPsMJeKjTn/LdPhcDjZvz8F80V3IMkyBmM4XqbW7Nq9q9EkdofDyZix4ykuN2HwTOCPNdtJSZnClCkvidsGDaxx1XgULhgmky8VZUdxOsoBsDtKsFYUnnM7Vffu3dmmsrNdKSMNG99ryuh9bGtWTXl5eREVFVWl/tV2ux1QMB77tZGQ8JZUlJeX1yoGtVpNdMuW/EUZCgrZ2NnrshIX13D1vq1WK3NmzOSOW2/lofuGs379+job+6uvvmHGjNdYsTqbjz9dwZixE3A6xapvgLYdOrBJa6cCFzZcrNPYadu+PQDlFgvh8iGyCmVUKhV6gwcV5ZkAKC4X1vJMfGtYlrk+HDiwn7y8EgLDh+Dl24agiBvZtz+VzMxMd4d2wRGJXXCL0NBQBg7sz5G9C8k58jXpKQu5/vrrMZ3jjSoiIoLxL00kJTaQ34K1dL16EHffd2+DxazX62kdF88vcin5ONiulHFIsdVJqdSxEyewP9ST6WSxWFXI/Y8+TFRUVO2DroLy8nKefOQx0v/awN0VnvTPc/HqjJkcOHCg1mO7XC6WLl1CaOy9BLa4jJDoO8nKLmHTpk11EHnDWb78Vx555AkefuQJfvjxx/O/oIquvvZa2vS6hNlkM4ssgju149Y7hp1YJe+/Yxlh6sNkF8k89ugjZB74gNy0r0jf/yax0SE1XjxaHxSFs1yZix3KDU1MxQtuc99999ClSyfS09OJjBxKQsL5+0cnJLRh6iuzGiC6MxszYTwL5rzKR5bd+Pn68cKTT1S5z/i5BAYGMvf117FarWi12gZdMT59+ixycnO4VQ7CiAofSU1bl43NmzfXum663WHH5XKh1lbuWZeQ0Gh9KSkpwWKxUF5eRqtWceftGOdOa9as4d33PiQgfCiSJPHhR1+h1WgZMOCyWo8tSRIPPfYowx96EFBOuUVxevEaJak3M15uye7du/D19aVLly6NqrFOTEwMJpOBnLRvMHiZKSvcRlRkS4KD3Vfu+UIlErvgVu3bt6f9sanHpsDT05Pnxo+rt/EbeqGR3W5n27bNaNUGClxOjFQuAszHhYfx7G16q0qn1REX35rcIz9iCuxFeelhSgr38ftyB2n7DuAta8iTnEyaNvWsayvcbcXKVfgE9cPoVfkhxxQ8gJW/raqTxH7c2Zrx/Kd4jX9vBg1qnH9ParWK6dMm88EHH3Hw0FY6dovhjmG3IcviBntDE4ldqFcHDx5k/oJF5OTkkNDazGOPPVzlNqPNicvlQpKkRrd3W6VSIUkSPi0u46O0n7lI0ZGt2Cn0NtCnd586Ocf4cWOYPWcelt1vYDL5cuWVl7Px+194wO6DConNlDJ/9hxmzn21Ts5X1wx6PU5H2YnHTnspeu+G+wDWlCrTeXp68sgjDbeFUjgzkdiFelNYWMiYsePxCuiLb+gALPv+4sWXpjDj5annfN03X33F6pW/odfrueWuO0lMTGygiOue1WbllVfmsn7dP8iyzNChQ7n99tMrJ7uPLMsMGTqUn39ZhSGgE5tK9qPX2nnttbl1VtbWy8uLiROeP/F46ZIlRNgkVMc+5MSgY3V29onnbTYb7y9ewvbtOwkI8OOB+++tVre8unbjjUMYPWYcLmc5SDIleWt55tEJ539hHWpKyV1wP5HYhXqzY+cO9B4t8A2oXOAT2PJq9m6ZTGlp6Vmv2r/47DOWf/Yl/W0GSilk2ouTeHHaFFq1atWQodeZd95ezJ69hbRKGo/LWcGPP79PeHgYvXv3dndoJ9wx7HaiIiPYvn0HgYEDuPrqq+u1Vn1Mq1hWaZ10sbswILFZshITHXPi+ZmzZpOyrwjvgL4cyU5j5MjRLFgwjz9WruTXn39GpdJw/W230LOBOrFFR0czc8Y0li//FUVR6N9/coP1bD/Zyck93D9adIMTzkokdqHe6HV6HPYSFCr7eTsd5SiK86wFaABW/PwLV9g9aCFVHnPU7mTV73802cS+dds2vAOvQiVrUMkajKaL2bJlW6NK7ACXXnopl156aYOcq0f3Hlh27uK1H39EL6vx9ffnhRHPAJX3/DesX0dc0nhkWYOHZxQO6yHef/dddv69jkF2D6yKjTfnvoaHh0e91LY/k4iICO5rwB0YZ6MKjcSjvBi7p4ojBe6ORmisRGIXgMpylSkpKfj4eFdpdXpVdOjQgUB/D7JSP0ajb0lZ0Vauuebac1Z3U6vV2BTbiYIdNgk02qb7Y+rn58fR0gw8jJW13+0V6fj7u7ebWGNwz333cdMtt1BWXkaAf8CJtQeyLIMELpcDWdagAC6nFUvyTi6zGWgpaUGCHnYnq1esbLDELghNSdN9xxTqzLZt25gy9WWMXhFYy3Np187M6OdG1HpclUrFtGmT+eGHH8jOzqVNm9vPe1U49NabeW/BQnrYHZRKCslaJ3cPvLzWsbjLgw/cy5ix43CUHcDpKkenKWXIkGfcHVajYDQa/3NLRqVSMXjwlaxavRijbxfs5WnotOX4GH0oy/u3Ilu55EJvqN/WtjVRnYZGNSUZvNCs/YmwtgPFdLxwRiKxC7wyey6BLW/A0zsOl8tO8o63WLduXZ30JtdqtQwZMqTKx/fp0xdPTy9Wr/wdg4eeGUOHEhLSdPfBRkVFsWD+PDZv3oxWq6VLly713mu9qXvg/vuIaPkzW7fuICgonJtueoqUlBRmTplKgd2BTYKtWgfTh1zn7lBP+GXZct55511stgratGnHmNEj8fLyqpdznby/HZHchTMQiV2gsCCP4JjKxUuyrEHnEU72SauUG1rnzp1rVXu9sfHz86N///7uDqNJGTRoEIMG/dvcJykpiQmTJ/HHipV4abXMuGIwLVq0cGOE/9q5cyfvvbeEsNgH0Oj9yDryI6/MnssLE+uv3sHpxWv2yGKVvPAvkdgFIqNiyc/+G//gnths+ZQWWoiLu97dYVVLRUUFR48exT/AH51WdJOqil27dpKWdoSIiAjMZrO7wzkvs9ncKOPcsWMHRp/26AyBAPiG9GPXzlfr/bxiC5xwNiKxC4wdM4oJE15k3/Y/cDkd3HPP3Y3yDfRs/v77b+a8Og+1xgOXo4LRo0eQlNTR3WE1aos/WMovP6/E4B1FadFShlx7JTfffJO7w2oQ5eXlyCq5zj4AmkwmHLa1J3Z/VJSm4+V99mZGdUkkd+FMRGIXCA4OZtGi1yksLMTDw+O8Pckbk4KCAl599TVCo+/GYAyjtDiV6dNn8d57b1epY9uFKCsrix9++ImI1k+gVhsxBRXz+edzGThwAL6+vu4Or97YbDZefnkWm7dsAkWhb9/+PProQ7Ve7Na3bx9+/mUFGfvfRaPzoyR/N2PGjKyTmKtCJHfhdCKxCyecq2VqY5Weno7BGIDBGAaA0SuKfK2R7OzsRlt73N0KCgrQe/iiVleuSNdovNAZfCgsLGzWif39xUvZd7CUVu3HoShO1m9cwnfffc+1115Tq3HVag0vT5/M2rVrKS0tJTHxvga//39ycvcM7go0nQ/nQt0TiV1o0gKDAikrzcVmy0er9cVanoO1ooiAgIBaj3348GF+/XXFsWpj/ZrNB4Xw8HAc1kKKC3bjaWpN8dFkFFf5ecu2lpeXs/TDjzl8+AixsVHcesvN5yw2dPToUd6cv4AjaWlEx8Yy/JGH8Pbyrutvp8p27NiFl9+lyLIaUONh6sSOHbtrndihsv7CJZdcUvsga0EVGommOB9/XzWHMmSxUv4C1nh6/glCDQQGBHLnHcNI2/MGmanvcWTfWzzy8IO1bjRz4MABRowczZq1+fy5vohRo8aSkpJSR1G7l9FoZMKE5ynO+RHLpvGUFazgxRcmnLOznNPpZPSYcfy1No3c4jh+W7Wblyadvea/zWZjzMiRaLakMCDHQfm67bwwZhwul/uSTXBQIBWlB4HKDuG2skMEBwe6LZ76oFGrMZZnuTsMwc3EFbvQ5F111RV06dKJjIwMwsLCCAys/Zv1p//7Au+AXvgHV16FqTSefPzJ50wYP6bWY9eV4uJi8vLyCAoKwsOjei1WW7duzQcfvIvdbq/Smop9+/aRl1dCWPzdSEh4mtqQsnMmWVlZBAcHn/F4VamV3krlXu5Ql4b5WVlkZWW5raHL8OF3M3LkGDJTD6O47Bj0dm655Sm3xFJfRPEaAURiF5qJ4ODgMyaYmqqosKLW/HufVK32oqL8UJ2NX1srV6zgzTcW4q3WUuJyMGL0czUqr1rVhZKKooAkcbzWb2UFWKny62eg1WqxKk5cKMhIOFCwKy63LswMCgri9dfnsX37dlQqFe07tG92WyNF8RoBRGIXhDPq1/dSFi5ajFrjjSTLFGQvZ8hdN7s7LABycnN4e+Ei7naaCHCqOYSNWdNf5r2lH9RbooqNjcXkrSP3yHcYPM2UFm4lOqrlWT9MRUdH0yI6ii/2HSbaLmPROklKuqhO1j7UhtFopFu3brUex2KxsOD1NyksLKBdu0QefeShOtmFsWnTJnJzc4mLi6txB7nTk3tacYRYJX+BEYldEM6gV69elJWX89VX3wMKt91yHQMGXObusABIP5JOsEZPgKPy1zcCLXpJJi83r95WY6vVaqZPn8J77y/h8OFNtL84mjvvuP1E85bTybLMhEkv8e3XX5N26BD94uK48qqr6iW2hpadnc2EiS/hF3olfmFh7Nj9Oy/PeKXWlebmzJjB7o1bCEXNBy4r9zx4P/0vq9nP3H8q01VhC9zPvyzjxx+XIcsyN1x/LT17uncxoFBzIrELzcqePXtYtOhdCgoLSEpqzwMP3Ffjq9hBl1/OoMsbXwOakJAQsuwV5KPDFzUZ2Ch3OfHz86vX83p6evL4Yw9X+XiNRsP1N95YjxG5x7Zt2/D0icfHrz0AgeHXsmXLS7VqALNjxw52bNzMfTZvNMjkomPRGwvp269fjcc8ntwNPud//a+/rmDx4k/xb3E1DsXJa/MXodfr6dy5U43OfVxDNMUR/kv8jQvNRlZWFhMmvESpMxGvoBvZuPkIc+a85u6w6lxwcDDD7r6Ld1UFvK8v4WN1MU8++4xoLtNA9Ho9DnsRx1cXOBzFqNXqWiWw/Px8gmQtmmNvyQGokVAoKyurg4jP75dlK/ENHYzRpxVeJjOmoH4sW/5bjcdbs2YNt998C0OHDGXU089y9OjROoxWOB9xxS40G5s3b8boY8bknwRAYMRQ1q09+5aspuyKK6+ka7duZGdn06JFiyZZXKip6tq1K59++gVZBz9BrQ2lrHATt912W63GjIuLI9VRzmHUhKNhLWX4+/nj6elZ63jLLRbC20aecyGdRq3GaS0/8djprECrrVl6SE09yBtz53Gz3YtgycQfqdlMnzSFGXNeqdF4QvWJK3ah2dDpdDgdpSceO+ylqNVnL6DS1Pn7+5OQkCCSegPTaDTMmjWdIVd3oUdnD555+mGG1rKFbHBwMM88N4ov9WVMcWWSEuLJhEkv1TpWVWgkRpMf/juWEaY+TFbhmd/yb7nlevIzfyYvcw25Gb9TnLuaIUNqVrhn9+5dxKEnVNIiSxK9FSN79u9zaw2DC424Yheaje7du/PJp5+RdegL1LpgSvPXc+utjWMlu9C86HQ6rr322jods3Pnziz5+GMcDgdqdc3emouKi3jnjYUcPJBKy8hIhj/8ED5V2ALXvn17XnxhPMuWr0ClUnPlFVOIjo6qUQwmk4lsyYlLUZAliUzsGPV6ca+9AYnELjQber2e2a/M5PvvfyA/v4COHR+ga9eu7g6r0SsqLmLpe++TkZZOXIKZW4cNa1KNgJqbmiZ1p9PJ+OfGEJxVRG+XFkt2MuNSRzNn/muoq5DcExJak5DQutbxX3zxxfwSH8vilH0EKyr2KBU8/PiTtR5XqDqR2IUmQ1EUNmzYwNGjR4mPjz/jPl+j0XjBtB+tCzabjbHPjqRFXhkJThXbDqQx/cABxr9U+2ng5sThsLN7twVFUTCbzeeske8uaWlplOQdZZjLBwmJcJeGN/MLOXToEDExMadsgSvoMIz6ahQjyzLjX3qBdevWUVBQwF2tE4iKah59FpoKkdiFJmPm1Kns37aDUEXNEqWC+x5+iL79+rk7rCZt9+7dUFTKAJcnkiQR61B4dccuCgoKMJlM5319eXk5n3z4EWmpqUTGxnDz7bc1u2pupaWljB05CnteAbIkoXgZmfbKTLy93dfQ5kzUajV2lwsXoAJcgF1xnTIDcLxRTH2TZblOCgEJNSMSu9AkbN26lX3bdnCvzQsVMrloWfj66/Tp2/esRVKE85MkiVOLwiqcuUjsf7lcLiaOfR59WjZxdjW7LAeYtNvCpOnT6u3fRFEUvv7yKzb8/TfePj7cdvddtGzZsl7OddwnSz/EL7uIK5yVde+X20tZ/M67PP70U/V63uoKCwsjLsHMZ7v2obU5SMWG5FKzc+dOIiIiTjnW5MjmSIUoN9tcidUMQpNQUFBAoKRBdexH1h81TqeLiooKN0fWtLVu3RrZ5MXPcim7lXK+VJfSrl1ila7WU1MPkJeewdUOTxIkA9c5PDm8/wDp6el1Etu2bdt4773FfPHFF5SWVu52+OD991nx6eck7s3BuGkPY0aMIic3p07OdzbpaWlEO1RIx/4X41STkXakXs9ZU2MmTCCgY1vSZSc3yX7c4PTmf++8z6pVq04co1Gr8dpy7lXyQtMm/lWFJiE+Pp79znIOY8OFwl+U0SIkpE7qc1/INBoN02bNJLBfd/YmtKD91QN5btzYKr1WUf77BlI5A1DVa/6z+/XXFUyd9gpr1hfx3c/beeqpEZSXl7P851+4zm4kTjLQDSNxTjV///V3rc93Lq1am9muceDEhROFbRo7rVqb6/WcNaVWqyktKGKA4kk4Wlqi5VK7jjUr/i02o45JxOSpEcm9GRNT8UKTEBoaytOjRjJv9myKy8uJDY9g3ITa1eYWKnl6evLQo49U+3VRUVF4BgbwfXoeCS4d2yhD7+VFWIuwWse0+IOlBEfdjsGjsvZ95sGP+eOPP4BTbx0oEvV+K+bGm2/iwN59vLptO5IE8XFmbr/rjhqPd/ToUT7//EsKCovp1rUTvXr1qsNoQW/QU8q/U+wluNCf9gFYHZOIaX8ykqeKIwV1enqhERCJXWgyunTpwpKPPxb1pxsJlUpFr359+WzJUva5yrCiIOda+XDpUobdUfPEB2CzVqDW/rs4TaX2pry8nKuuvZrPv/6OHjYdeZKT/RoXT1xSv81K1GoNYydOID8/H0VRalWTv6ioiKeeHoHGkIBaF8CWrUvIycnj+uuH1Fm8Nw27nYm7xlFkc+GSYKvWzpRbxE6RC4lI7EKTI5J647Hx738wOSWCJAO9ZS8yFRtffvkl/fr3r1WnuS4XdyV557f4hgzEVpFLSf52OnW6lYiICEx+fmz862+8TCZm3n5bvTe/Oc7X17fWY6xZswaVtiWBYYMB8PCM4osv3q3TxB4XF8e0mTP4beVKJCReHngZ4WHhZzxWWfMTYUmib3tzIxK7IAg1pjPoScfOXXIAKmS8JAPxWNm+fXutEvsTjz/CokVvs2HjEjw9vRg7duSJld2DBg1i0KBBdfUtNCiHw4Es/7sHXlbpcDoddX6eyMhI7r7nnnMec3w6ni3LRHJvZsSljyAINXbzsGHISOQfu6eroFCsljAajbUaV6vV8vjjj7D4/Xe4fOBlzJw1h1tuHcaiRW836ZrjXbt2paRwJ/m56yktTiXn8Of06dvXbfGIhXTNk/hXFAShxuLj47nh5ptZIh1lpVLEp+pitC2C6Natbkr5/vnnn3zy6VcEtLyDsFYP8ec/O/noo0/qZGx3CA4OZtrUSQR6H4KK3xjYvzMPPjDcrTGJ5N78iKn4C8ymTZtIT08nIiKC9u3buzscoRm47fbbaN+hPdu3b6e9ry/9+/dHra6bcqX/rN2Ap38P9IZgAExBl/HPP8sZNqx2bVLdKSYmhsmTJro7jFOcPC1v7Fx/5WaFhiES+wXkrYULWffbH0S6NHwp2eh/1RXcfued7g5LaAYSExNJTEys83G9vT1x2vJOPLZV5GLyqn2PcuG/1DGJGPdscXcYQh0Qcy4XiPT0dP5YsZK7bN4Mchi52+7Dd998y9GjR90dmiCc1fVDh2Av20XWoS/IOfI9+Vm/cO89tdtKJ/y/vfsOj6rK/zj+np5kJplUQgokBMKhCihIUbGzNpoKy7quu67d1dW1AAIKKk1RUexYWIW1N3AtKIoFkS4CAhcFUgghAdJDMpn2+yNBcX+UQCZzM5Pv63l4SCZ37v3cTJLvnHvOPUeEO2mxtxLl5eXEmq1EeOrfy0VhJNpipbKyMmi3CwlxvOLj43nyycf55ptv8Hg89O9/VZNG27c2+/bto7S0lPT09EbN0mgxm2m3ZgH5fa/EYZPL8aFKCnsrkZGRQYXBx0/+GroYbGykFrfZREpKit7RhDgqp9PJ0KFD9Y4Rct74z39Y+P4HxFlsVOJl0pQpKHX0qXB/7WuX4h7S5FJ8KxEVFcXkBx9kZaKFGf4ifmwTyQPTp7XIdaWFEE2zdetWPl34ITd64/h7bTR/qLHx8LTpjXquOasH9ghZMTGUSYu9FenYsSPPvPjCr5/n5eXx0gtz8fv8nHP+eWRlddQxnRAiUHbt2kWGwYYdEwDKEMG7FXtwu91YLNIKD3fSYm+lduzYwT133c3+/35N+cffMmncBLZu3ap3LCFEALRr145cv4tqvABo/lriY5zHVdTbLJ9PlcvdXBFFM9Klxa6UigfeBDKBHGC0pmmlh9nOC2xs+DRP07RhwcoY7t55/Q0ctR6+pxYD0MFl5e3/vMa9Dz6gdzTRCNXV1VgsFulKEYellOKCEcN47r33ibXYqMLLvZPub/TzIzv3Jn7belg+n+JBf5G+9hCj16X48cAXmqbNVEqNb/h83GG2q9E0rXdQk7USO7ZvJwYTV5sSceFnvncfruIivWOJY6iqqmL6lPv5ecd2fH4YPmwoVx1jTnDROo254grOGzKEsrIy0tLSGjUq/lCRnXuTvGMTNhlIF3L0uhQ/HHil4eNXgBE65Wi1fF4vp5uiMWPEjom+RgcxMTHHfqLQ1XNzniJyZyF3+9twG4l898lnLFu2TO9YooVKTEykU6dOx13UDzo43Wy7NQvksnwI0auwJ2uaVtjw8R4g+QjbRSil1iilViilRgQnWuuQkprKbn/9L6ofP7uNHrr1lClmW7qtW7fQzxeJEQNRmOheZ2LrT5v1jiXC2MHi3ql8NXsqTXrHEY3QbJfilVJLgLaH+dLEQz/RNM2vlPIfYTcZmqYVKKWygC+VUhs1Tdse6Kyt0TU33cikcePI91VTiw+XM5qRl12qdyxxDImJieRV7iURM378FFhgYHIbvWOJMGeIjCbCpncK0VjNVtg1TTvvSF9TShUppVI0TStUSqUAxUfYR0HD/zuUUl8BfQAp7AHQvn175jz7LOvXr8disdC3b19sNvnNbeluuu2f3Dt+PL9QTZXPS0xaWy6++GK9Y4lWoEbTcPTqhywQ0/LpNXhuEfBXYGbD/wv/dwOlVBxwQNM0l1IqETgNeDioKcNcbGwsZ511lt4xxHHIyMjgyeeeY/PmzURERHDSSSdhMsnlUdG8TCkZWCpLaSOj5EOCXoV9JvCWUuoaIBcYDaCU6gvcqGnatUBX4HmllI/6sQAzNU2TzsQQp2kaO3N2kpqSKsvGniCn08nAgQP1jtGqrVq1ildffImamhr6DxrE36+7FrM5vOf7OngLnLloJdvizqRttFfvSOIIdPlJ1DRtP3DuYR5fA1zb8PFyoGeQo4lm9O677/H2uwuxx2RTU5XDmWcM4IYbrtU7lhDH5eeff+aJWY8wzG3HabCx5MtlvOT3ccPNN+sdrdlZo+NITTSx21SLXJJvuWTmOREUlZWVvP7Gm6R1vIGktBGkdbqRL5d+TV5ent7RhDguq1aupI/HSkdDBImYGeKJZMXy5XrHCgpTSobeEUQjSGEXQVFRUYHV5sBirb9X3mSKIDIqkbKyMn2DtQJer5f8/Hz27t2rd5SwEBkVReUhfzkr/F4ibBH6BQqyqi0aqUUr5da3Fiy8O4VEi5Gc3Aaz0U/Z/rU4E06mqmwbtTV7yeyQqXe0sFZSUsK94+6htqKCGq+HUwf057Y778RgkNW7TtR555/HxwsX8WFVJU4vrLO4uenv/9Q7VtBEdu4N29bTGdiG9LW3RFLYRVCYzRYefHAyU6c9xNad7xMbm8Dk+yYQEy2z3TWnp2c/Tof9NZzpd+LGz+ur1vHFF19w3nlHvBs1aDZs2EBRURGZmZlkZ2frHedXVVVVbN++nehox2FXPIyJjuGxp+aw+NPF1Bw4wMRT+9G1azcdkurnYHF3JPdH+tpbHinsImgyMjJ4Ye4zeL1euUWrGVRXV7N8+XLcbjd9+/alTZs25ObmcrnfhgEDVgxk1xnZ+ct20LmwP//8i3z97QoiHRlUl89nzB8vZ8SIxq3x5Pf7qayqxGF3YDQGtjdx+/bt3Hvf/VgjEqmrKaV3n57cfde//t8VjpjoGEaNGhXQYx9NSUkJq1atAgMMHDAQp9MZtGOL0COFXQSdFPXAKy8v567bbiexxkOEz8Brr7zKAzOmk5aWxratu0jEjBcfO61+/pCp7wCo3Nxcln71De3UbZhMNmKTylmwYA7nn38udrv9qM/dsmUzU6fOpK6uDrPFzD3jxwb0tslZj8zG2eYCnPEn4fW52bjxRb7//nsGDRoUsGMcr8LCQsbdcSeZHhM+A7wxfwGzZs8mKSlJt0wHpcqtby2SDJ4TIgy8/+57ZFS6uazOwcUeO4PrrPx77gvcfPttbHQaeTmikmcsZSR1VwwZMkTXrKWlpUREJWEy1c90aLE6sdqiqKioOOrzampqePDBGcSljKDjSZNISB/F9BkPU1VVFbBs+/YW43DWdwuYjBasUZkUFhYe41nNa/68eZxSa2aYx8EIt4OeBwy8sWCBrpmg/ta3yD0/07n0axlI18JIi12IMFBeWkKi1wgNV4zbYGFzWTnJyck8Nfd5cnbmEBERQUaG/rcrdejQgdoDRVRV/II9phPl+9diMRuP2QItLCzEZLbjcHYGwBHdkYqIWAoKClBKBSRb+/aZlO9bS3zy6Xg81dRUamRl6dttUVFaRnf/b69tks9EXkmprpmg/ta3mJQMLNvWk57QgYLydiQ7fXrHEkiLXYgm2759O0uWLGHTpk26ZejTrx9rrW5K8VCDj2VmF736nQKAzWpDKdUiijrUz5w3aeJ4yos+QFs7CW/1Ch544L5jztwWHx9PbU0Z7royANzuSmqrS4hPiG9SntraWpYtW8bSr5Zy003X4XOtJ3fLI+T89BgXXXgOffr0adL+m6rPqX353uqmCi8VeFhhraNP/1N1zXRQSUkJ3y79ig3rv+eJxx5j7dq1ekcSSItdiCb5cNFC3pr/GlnGCHb56xh4zllce+MNQc8xePBgivfs4aW338br8zJ40Bn85a9XBT1HY/j9foxGI/+89R9kZWWRkJDQqOfFxsZy5ZV/5rXXn8cRk0F1ZR6jRl1GUuKJ9zVXVVVxx51jqfPYMRptuGrymDF9KlarFbvdTnR09AnvO1BGXnY5pftLeebzzzEAF194MRdfconesQCYcf8DDE1NJAMbQ9p35tGZD/HonCdISUnRO1qrZvD7j7RiamhQSmUCO9+f9RCpiYl6xxGtyIEDB/jbX67iBl8cTszU4mOuuYypj86iffv2esdrEYqKilixYgUmk4nTTz+dmJgYpt1/P3lbt+E0Wijyu5kybSodO/7/28qOJDc3l/z8fNLS0ujQoUOT8s2b9wrffp9Pm3YjACgtXk5yfBEP3H9vk/bbGtTV1THmj6OZlqaIObsv7uxeLPglisR2UZx7zjl6xwtre4t386+bhwJ00DQt53+/Li12IU5QRUUFUSYzTl/9r1EERhIsNkpK9kthB3Jychh/zyTsMV3x+7288eY7XH7ZCPZt/YVr65yYMLDRf4A5jz7KE8880+j9ZmRkNKlbwe/38/LL/+bjjz/G6/MSac/E7/dhMBix2dMp2b/lhPfdmlgsFsxGM7kFJXT4ai0O4JLOPdmW2DK6CVoz6WMX4gQlJiZisFn5kQP48bPT76LY6yIzs2mtyHAxb958nElnk5Q+nDbtLiXC0YtvvvmO9DoDpoaRYB0MNvbt3x/UXB9++BFLv15LZo876XTSeHw+F3t3f4HX56Zi7zJ69uwe1DyHU15ezooVK9iwYQM+X8sckGYwGLj+xhv4j7mCt/fsZuGyb8FXQUpKW72jtXrSYhfiBJnNZiY/+AAzHnyQj/bvwRFlZ9z4icTGxuodrUWoqKzCEvFb95jZmoDZvJetFi/93F7sGFljqKFjh6yg5lq7bj0xCadjMTsASEo9l4Idb1Ja9C39Th3A1VfrOzZhx47tTJo0hQh7GnWuctqnJ/LAA5Nb5LKw551/PhmZmWzdupXMKDNdundnBTJdsd5a3k+KECEkMzOT5196ibq6OqxWq95xmtXnn3/O62+8g8ft5pxzzuKqq6486sxvA/qfwn8/+RKrLQG/z03l/mWMunoMe/fs4el338FiNJHUJonJY+8O4llAfHwsBcWFQA8AXDV76NfvFMbefUeLKJ5PzHmWmDZDiE3ogx8fBTvns2TJEi644AK9ox1WdnY22dnZeAtzqf55G+ndM+XWN53p/1MsRBgI96K+evVqXp73H5La/xGTKYIvlr5PRISNMWP+eMTnjBp1OVVV1Xy+5DlMRiMjRg7n3HPrB1UNv3QktbW1xMbGBn1Bmj9fMYY77hhLcV4JGAy4DuRw9aSHWkRRB9i/bx9tGgYFGjBijmhPUXGxzqmOzZSSgR3gp8+g+xAp7jpqGT/JQogWbdmy74lOOIMoezsA4tr+gWXLlhy1sBuNRq655mquuebqXx/zer0UFxdjd9iJi4tr9tyHk5iYyFNPP86qlavw+/3063dHi+o+yc7OJq9wOYlpF9ZPklOxgS7qWr1jNcrB4h7pyWWXUQaQ6kUKuxAtRE5ODnv27KF9+/akpqbqHed37A47Xvdvs52568pwREUd1z4KCwu5b8IE3AdqOOBxM3LkSP505ZWBjtooMdExLWKFu8O5/fZbmDJlKts3TMXv8zLy0kvp37+/3rFECJHCLkQL8Prrb/LBoo9wONKoqsjj2muv5vzzW07hGTlyGN98fRdF+S6MxgiqStdx6+SJx7WPWdNm0KfMy6nEUY2XVxd9RLeePenVq1czpQ5NTqeT2bNnUVlZic1mC8lunhpNI717hlyO14kUdiF0tnv3bj744EPSu9yKxWwnpnYfc+c+y2mnDSLqOFvFzSUpMYk5c2bzxRdf4HZ7OO20y4/7XvLcgl1cTv0scXZMdPSa2blzpxT2I2gJs96dCFNKBlE1ldSt/4y03tLXrgcp7EIXq1at4rnnX6S6uorevXpz++23EhkZqXcsXezdu5dIRzIWc/2SpbaIRCw2B2VlZS2msEP9XO1NWYM8OTGBn/e66G6IpA4feWYv58rUo2HJnNWD2B2bYP1n2PteCVj0jtSqyAQ1otn5/X6Ki4spLy8HYOfOnTz66BPYEy4hvfOtbNtRw+zZc3ROqZ927dpRU1XIgep8ACrLtoLf3SLW2w6kf40dy5IIF/MjqnneXEa3/v2k7ziMmbN6YI+Qe9r1IC120azKy8uZMnEi+4r2UufzMnjwGaS2b48jrhf26PqJSRJSL+KHHx7ROWnTlZeXM+eRR9n2y88kxidw8+23kZ2dfcznxcfHc9dd/+KRRx7DjxGrxczk+yZisYRXKyc7O5tnX3yBHTt2EBMTQ2Zmpt6RANiyZQvbt28nOTmZfv366R2n1SsrK6ekpISUlLat9ipeU0lhF83q2TlzSC4s5wpfHHX4ef27lXgNBrzu/fipX2K6zrWPyEi73lGbbOrkKSTk7+Nqn4O8gkrun3QvTz737K+3da1evZrFiz7EYDRyyaUjf9e33K9fP157bQEVFRU4nc6jTvxyOG63m3kvvMD6tT/gdMbw95tubNSbimPRNI2ioiIyMzMDMv+9w+HgpJNOavJ+AuWDhYt44813scd0wXXgI3r3WsZdd/5L71hhw2I2027NAvL7XonDduw3qos+/Ij5r87HFhmLx13FvZMm0L17tyAkDS9yKV40qx3bd9DLZ8OAARtGVJ0Js8GAI9JFUc4C9hZ8SlHOa1x33dXH3tn/qKura4bEJ6a6uprc/DzO9dmJwUwPQxTpRitbttYvKLJ69WrmPPwIaRtzafvjDh6eOo0NGzb8bh8mk4m4uLjjLuoAT81+nO1Ll3NRiY/sHfuYMnESRUVFTTqneS+8yIx7J7P4mZeYcOfdfLZ4cZP219LU1tYy/9X5pHW8jqS0oaR0vJ516zaxbds2vaOFDXNWD2IdFtqtWYC5uoCi8iP/bOfl5bFgweukq1tIy76FhNTLmDZtRoudK78lkxa7OG6uOhfuOjcOh+OY27Zt25bt5QUkYcGHn1yLnzMzM7nmhutZunQplRWV9Oo1jM6dOzf6+F999TVPP/MsHncdaekZTJ48oUlrcgeCzWbF5/dThY9oTPjwU+bzEBVZP/jto/fe51x3BD0M9Z973fDJwg8D1nr9bsX33O5PIgIjbQ1W8v1+1q5dy0UXXXRC+8vJyWHpZ59zvSeWCIzsx8qLc1/gzLPOwmazBSSz3qqrqzGbbVissQCYjBYiohJ/HQsiAuPgQDqDw0RB2ZG3y8/fhcOZgdUWC4AjNpviPA8VFRUtagKhUCCFXRyXl+fO5eNPPsVoNJDdsRMTJt+H3X7ky+g33fZPJo4dxzZPFQd8HtI6ZnHhhRdiNpu54A/HP/d1Tk4Ozz73AmmdrsMWmUzJnq+YNu0hHp+tbx+92Wxh9OjRLHhvIV3rTOy2QlKHjN8K92GmTQ3kTKoWk5kDHh8RDRfhDhj9J1yAN2zYwOrVq0k0Wn/dXwJmIowmKioqwmZQX1xcHDExDkqKviM2qT8HKndwoKqATp066R2tVUpLS6W6Io/Yugos1hiqK3diNBmJjo7RO1rIkcIuGm3p0qWsXrKU20jC5jPwyY4CXnjmWW6/+64jPiclJYWn5z7PL7/8gs1mo1OnTid0qfkgTdNwxCoiIpMBiG87GG3tErxeLyaT6YT3Gwijx4yhQ8eObNu2jZ6JiZx33nm/nuvFI0cw5+dH8LnBi5+vLbWMHz4sYMf+4xV/4s3X3+TkOgt7TX7KHDYGDRp03Pt57LEnWLvuJywRiVTWVJJvstIOKxv9BzBF2IiPjw9YZr0ZjUYeeGAyM2bOYtsPnxAbl8SkieN1m+q2tcvMzOTyy0bw1ttPERkVj6u2lHvGj8Vkkh7j4yWFXTTalk2b6FlnJtJQ/4vW1xvBf7dsOebzIiMj6dmzZ0AyxMfH4zpQiM/vxWgwUVNdQFSUQ/eiflC/fv0OO7K6X79+3D5+LJ8uXITBaGTcpSMD9j0BGDFyJG1TUvhhzRo6x8Vx1/Dhxz2ieNOmTaxdt4nU7JsxGS1YI1cyP3cRJrOJmJgY7psy5Yjf57y8PNatW0dkZCSDBw8OmdHMKSkpzHniMb1jiAajRl3GWWcNZt++/aSlpxETopP06E0Ke4jxeNzMmfMM3333LUaTmVGjLmf0qMuDcuzklBTWWPz08/gxYCCPOpLapAXl2Af17duXLuoLtmrPYYtKpqr0Z+64459BzXCiTjnlFE455ZRm2/+AAQMYMGDACT+/pKSEiKi2mIz1o5fj2/Rn/+5Peea5Z456+X39+vXMmDELR1xPvO4K3n1vIY/PfqRFTa4j9Gct2oE/8th/L5KSksKmu0cvUthDzCuvLODHTbvJ6jEOr6+WDxbOp21yGwYPHtzsx75k2FBWfPsd8/YUYzeYKDJ6mX7LP5r9uIcyGAxMnDCOH374gbKyMpS6jrS04L65CFfZ2dlUlT+PI76ACHsaZcXfk5B47D+yc+e+TGL6SKJjuwCwJ+8tFi9ezMiRI4MRW4QAc1YPzNvWk1WxleJBf2nUrW/ixElhDzFr167H2eYCTOZITETiiO/P2rXrg1LYbVYbMx6dxaZNG3G56ujWrZsu81kbDAZOPvnkoB83HFRUVLBhwwbMZjN9Tu6DzfrbALuUlBRuv/0WHn98DnV1Ltokp3L/lHuPuc+qqioS4n8r/iZLEhUVlb/bZu++vWzZvAW73U6fPn2aNM5ChKbIzr2J37Yec9FKtsWdSdtor96RwpYU9hDjjHVSUr3n13WxPa5i4uKCt8Sn2Wymd+8+QTueCJyCggLuuXssqT4TtX4f/4mL5qHHHv3dJfOBAwcycOBAXC5Xo0fVn3xyH9Zv+pzEtKG468qpLl3DySf/NqBy8+bNTJtyPxlGG2V+L/GZ7bh/+rQWMy5CBI81Oo54p7ypa27yHQ4x1193NeXFX7B313sU5b6GwbOTSy+TS57i2F567jn6HjDRq9ZIP5cZ594K3nvnncNuezy3yt108/V0U/HkbpnN/vzXuPaaq343MPCZx5/gwrpILnXZ+VtdNNU7d/Hll182+XyEEIcnLfYQ06FDB56cM5u1a9diNpsZOHDgUe8jF+KgvUXFbDPUgi0Bg9FEXU0R0Xn5Td6vzWpj7N13HPHrJWVlpBucABgxkOKuH6jXVB6Pmy+++JKSkhK6desmy7+GAFNKBnXb1tM5ycc25HJ8c5HCHoKSkpK44ILjn9xFtHJWG6b4nqRk1l/hKd61mOKyvc1+WNW5Myu25HCuz04FXjZbPPyhS5cm7dPr9XLf+Am48gpp64bFloVc9uc/MXT48CbnXbduHS8++yxV1dX06d2Hm/55KxEREU3er6gX2bk3bFtPZ5Di3kzkUrwQrURcQhL2mN9mVYuKycJgaP4/AbfffRdlGW2YSRHPGvYz8k9/bHLreu3atVTk72aM28HZRHOlO5pXX30Fv9/fpP3m5uby6IyHGLzXw19r7Oxb/SNPPja7SfsU/5/0tTcvabEL0Ur07NmNDz9ajj1WYcBAVclqTjldNftxnU4nMx97lNraWqxWa5NGxNfV1bFq1Sp+WP8DUX4DBurn5Y3BhNfnw+PxNGm52x9++IFuPiudDPUt9As8dp5au/aE9yeEHqSwC9FKXHbpSPJyd/Hd8ukYMNDn5FO48sorgnb8pl7Orqmp4a67x1F1wILJZKfEXcP3PuhhjGK5sYauHTs3eQ37qKgoyk1+aFhQrAwPETa5DC9CixR2IVoJo9HInXfexj/+cQN+vz9kpn096OOPP6a61knbDn/EAFjtP/BNwcesNFbQpUsXxt115AF8jTV48GAWvfce7+6vJMEDP5rd/P3aG5oeXoggksIuRCsTigPBDhw4wL79JZhtqRxcFC8yKh1HdDTzXp4bsONEREQwa/ZslixZQmVFBRf16UO3bt0Ctn/xmxpNI717BgXl7Uh2yprrgSSFXQjRYm3atImHp0+nprYWm8WK22AlJr4nZrOd0r1fcVLP7gE/ZmRkJEOHDg34fsVvTCkZ2AF++gy6D5HiHmBS2IUQLVJVVRUzH5zKMFckWQYnmquGD83V5G5+HK/PR5/ep3DTjdfrHVOcoEOLe1mvKwGZPz5QpLALIVqk/Px8Yo1mshpGqCtDJF+b3UyYOY127drJlLRhwJSSgaWyVO8YYUduJBRCtEjx8fGUuF1UUz+BSQUeKjx1xMbGSlEPM7GeYorKpRwFirTYRVB5PB7ee+99ftmeQ0b7NC4fddnvVhgT4qDk5GSGjRzByx8sop0pglxvLWP+dAWxsbF6RxMBZDGbiV7/GWm9pa89UKSwi6CaNm0mO/KqiIzuzrbtm/nxx03MnDlVlvEMAVVVVTz62BNs/mkT0TFObvnHDc2+0t+YP/+ZU049lYKCAtq3b0dWVsdmPZ4IPnNWD2J3bAIp7gEjf01F0BQVFbF5i0Zyxp+ITehDcsZodu0uJidnp97RRCPMfOgR8gogvcttRDj/wIwZj1BQUNDsx83Ozuass86Soh7GzFk9iHVYiHFIF0sgSGEXQePxeDAaTYfMT27EZLTg8cgiEC2dz+dj06YfSUi9GIvZgcOZjSO2C5s2bdI7mhDif0hhF0GTkpJC2+RE9u5aRHVlDvt2f4o9ykRWVge9o4ljMBqN2KwRuF31y636AXddiSwZLEQLJIVdBI3RaGTq1Pvp1c2JwbWUrp1MPPTQNMxmuX81FFxzzd8p3Plv9hYsZs/OV0iKtzBgwAC9Ywkh/ocug+eUUqOAKUBX4FRN09YcYbsLgCcAE/Cipmkzj7TPvNxcUhMTA5Jv165dPProExQW7iYtvR133XkbKSkpAdl3a2e327nttlv0jnFEtbW1FBQUEOOMISkxSe84LcqQIeeTnp7Gpk2biI3tydlnn43ZLONvReD4l32Cva9MVtNUerXYNwGXAt8caQOllAl4GrgQ6Ab8SSl1xEmbH3toVkD6+2pra5kw4T4OeLuQ1vkWKl0dmDjpPjwed5P3LVq2HTt2cMM11zJr0mRuu/FmXp33b70jtTjdunVj9OjRDBkypMkrqQlxKHNWD+wRBtosn0+V6/j+3nq9Pp57/gVGjRrD6D/+iddeewO/v5mChgBdCrumaVs0TdOOsdmpwC+apu3QNK0OeAMYfqSNT/PYeOPV+U3OlpubC8ZI4pL6Y7FEE9/mNOrqoKBgd5P3LVq2WdNmcFa1iWtro7nRG8/Xnyxmw4YNescKuoqKCnJzc3G5XMf1vKKiIlavXk1+fn4zJRPhLrJzb+JjjKQWrWRPZeNHyL/11tt8t/wn2ne5jbTsm/no469YsmRJMyZt2VrydbQ04NC/ELuA/kfa2I6J/JqaJh/U7rDjqq3E66vDZLTi9bpwuaqIskc1ed+i5fL7/RTuK6absb7LJQojmX4L+fn5nHTSSTqnC56FCz9kwYIF2CKd+Ly1TL5vIkqpYz5v6dKlPPfci9hj0qmu3M1llw5n9OjLg5BYhBtrdBzxzuNrc65avQ5nm7MxW6MBcCScxspVazn//POaI2KL12yFXSm1BGh7mC9N1DRtYaCPt9xSy7Bzmr4iU3paOv379+WHH17GGtUR14FtnH3WWdLfGuYMBgNtE5PYsr+GHoYoavCRY6hjeLt2ekcLmpycHF57/S3ad7kVizWWirItTJ02g/mv/vuoz6upqeGZZ54nPfsGbJFJuN2VvPvu05x++iBSU1ODE160ak5nDAX7irHH1M914HHtJdbp1DmVfpqtsGua1tS3SgXAoX9V0xseO6xBF/yBESNHNvGQ9e741z/59ttv2bVrFxmZ/Rk0cFBA9itatrET72HKpPtY6a+k3O3iDxdc1Kpa63l5eThiOmCxxgIQE9uVoty3qa6uPuptbaWlpVhsdmyR9W9+LZZoIh3JFBcXS2EXQXH13/7CuPET8Lj2gN+Dx5XHmDGP6B1LNy35UvxqIFsp1YH6gj4GuOJIG1809OKAHvyMM84I6P5Ey5eV1ZG5L7/Erl27iImJoU2bNnpHCqrU1FQOVOXi9lRjMdupqtyOzWolKuro3VCJiYngq6OqfBsOZ2dqDuympmoP7du3D1Jy0dplZLTnyTmzWblyFUaTkdMG3YnTGXPC+yssLOS5OU+yZ08RnbKzueHWfxATHR3AxM1Ll8FzSqmRSqldwEDgI6XU4obHU5VSHwNomuYBbgEWA1uAtzRN+0mPvKL1iIiIoFOnTq2uqAN06tSJoZdcyK6tc9izcy778t9m/PixGAyGoz7ParVy7733ULL7fXI2P0zh9nncfvstxMfHBym5CDc1mkbn0q+PawBdUlISl1xyMRddeGGTinp19QHuuXsciVt3MazUgGvtTzww6d6QGmWvS4td07T3gfcP8/hu4KJDPv8Y+DiI0YRo1a64Ygznnns2+/fvp127dkQ3spXStWs3Xn11HqWlpTidTqxWazMnrVdTU4PH42l0TtHymVIysAPs+ZnOwDbOpG108Kad3rZNw+nxMwAHGGCI18zjBbspKdlPQkJC0HI0RUu+FC+E0EFycjLJycnH/Tyz2UxSUnAGmfr9fp56+lmWLv0Sg8GIUl24d9I9REZGBuX4onkdLO6Rxzk6PhBsNhsH/F58fj9Gg4E6/Lh9XqwhtLy0FHahi8rKSt544y327NlLjx5dGT58qCzdKhrtk08+YdXqrXTseQ8Go4XC/Pd48cV53HrrzXpHEyGuS5cuJLVvxzs5BWTUGdhi9XL2GWcRHe3QO1qjSWEXQeeqc3HX3ePx+FOxRmXy86KvyM3L4/bbbtU7mggRP23WiIrtg8lU34qKTjiVLVsX65xKhAOj0ciUaVP56KP/UrirgBFdunDuuefqHeu4SGEXQbfhxw3Uuqy0zRqOAXDEduGbr6dz043XY7OFzuUuoZ+Utsn8pGn46YcBqKnKIT259Q14FM3DarUwMkC3T+tBrn2KoPP5fBiMZg6OtTZgAoMBn8+nay4ROi67bCQxkRUUbn+ePTmv4KpYw403XKt3LBFgNZpGujGPonIpVcdDWuwi6Hr06AHeuewv/BKbI4Oq/Svp0+cUGfgkGi0yMpLHHnuYjRs34fF46Natm6wNH2ZMKRlE1VRSt/4z0noPoaC8HclOefPfGPI2SASd3W5n1iMz6di+Dqv3e84YlM34cXfpHUuEGLPZQp8+fejXr58U9TBlzupBXFI8CT99hj3i+BYlas2kxS50kZSYxPjxUsyFCEV+v5+ysjKi7FHYmvk2MFNKBpbK0mY9RriRwi6EEKLRioqKuH/SvZSVluL2+/jLX/7CsBEj9I4lDiGFXQghRKPNmj6DLvtqGUQi5Xh49bXXyVad6dq1m97RRAPpYxdCCNFoO/Jy6Ef9QFcnZrL9Nn75ZbvOqcShpMUuxAmqrKzknbfeYn9RMd16ncSFF110zAVThAh1Cc44cspcZBsi8eBjt9HDeUGaSlg0jhR2gcvl4r///S/Fxfvo0aObLFnbCC6Xi3F33EFKSQ2pXiMfr99IQX4+1914o97RmqyiooLNmzcTERFBz549MZkav8KWCH+33XUnMx58kDSjj/1eN11796J///56xxKHkMLeynk8bsaOm0B5ZSSWyHSWfbeAnTtzueqqK/WO1qKtW7eOiIpaLvRFgwGU28djixdz9bXXYjaH7q9Vbm4uEybeiy0yFXddJW3bRDN9+oNYLBa9o4kWokePHjz57LP8/PPPOJ1OunTpEpTjphatZFtccFd6C1XSx97K/fDDekrLPSRnjiEh+XTadvw7H3zwHl6v/PIcjdfrxXrIZXczYKD+NqBQ9uRTz+FIOJs27a8ktdONFJfUL7gixKHi4+Pp379/0Ip6ZOfexOz9haw1L1DlcgflmKFMCnsr53K5MJvtv07vajZFAgY8Ho+esVq8Xr16scfsYznV5OLiA3M1p57SN+Rbtvv27SPKkQmAAQMWW3uKivbqG0oI6ot7fIyRWE+xTDF7DPLdaeV69OhB7YFdlO5bjaumiOL8D+jarYcsxnIM0dHRzHzkEap6d2J5moPOQ87kjnFj9Y7VZEp1pmL/Cvz48Xiqqa3cQNeuSu9YQgBgMZuJcciYj2MJ3c5AERCxsbFMn/YATz8zl5KiFXTv1oWbb7pB71ghoW3btkyYfJ/eMQLq1ltu4v4HprH9x6n4/V6GDh3G6aefrncsIcRxkMIuyMzMZNbD0/WOIVoAh8PBrIdnUFVVhcVqafbpQoUQgSeFXQjx/zgcDr0jCHFEfqPMF3E00scuhBAiJBgio7Gs/ITOpV+zp1L62o9ECrsQQoiQYErJwB4bT+Sen0k35sno+COQ74oQQoiQYUrJIMpmkdHxRyGFXQghhAgjUtiFEEKIMCKFXQghhAgjUtiFEEKIMCKFXQghhAgjUtiFEEKIMCKFXQghhAgjUtiFEEKEHGvRjlY5tWxJSSlPP/38UbeRwi6EECKkmLN6YM7fRtaaF6hyufWOEzRut5vx4yeSV3j0yXmksAshhAg5kZ17Ex9jJLVoZauZN37Hjp0cqPUT2+aMo24nhV0IIURIskbHEe9sPWXMYrHg9bjA7z/qdq3nOyKEEEKEsMzMTDpkprOvYNFRt5PCLoQQQoQAo9HAlCn3cs6ZPY6+XZDyCCGEEKKJrFYLF1980VG3kcIuhBBChBEp7EIIIUQYkcIuhBBChBEp7EIIIUQYkcIuhBAiZNVoGg5rrd4xWhQp7EIIIUKSKSWDKJuFdmsWUOVyU1QuJQ2ksAshhAhh5qwexDrqi7s9wqV3nBZBCrsQQoiQZs7qgT2i9a30diRmvQMIIYReKioqePn5ueTn5pHZMYu/X38ddrtd71hCNIm02IUQrZLH42bi2HHUrPiRQQVVlH63lskTJuLz+fSOJkSTSGEXQrRKO3fmUFdawXk+OxnYuNBrZ1/hHnYX7tY7mhBNIoVdCNEqmUwmPPg4uACmD/D6/ZiMrWNtbxG+pI9diEYoLy9n9+4CEhOTSEpK0juOCIDMzEyS27fjg5zddHKb2GLx0rmrIiUlRe9oQjSJFHYhjmH16tXMfvgREsxW9ntqGXPFnxk2coTesUQTGY1Gpkybyjtvvc2unTn0y+7EpZdfqncsIZpMl8KulBoFTAG6AqdqmrbmCNvlAJWAF/BomtY3WBmFAHC73cye9QijPQ7SPVbKiWDea69z8ql9SU9L1zuebiorK3l9/gKKCgvp3K0bl48ehckUepewrVYrV1z5Z71jCBFQerXYNwGXAs83YtuzNU3b18x5hDissrIyzH5IxwqAEzMpZhuFuwtbbWGvq6vjnjvvInn/ATK8JlZrO8jduZOxE+7RO5oQAp0Ku6ZpWwCUUnocXohGi4uLw2c0sNPvooPBxn487PbUkp7eOos6wObNP2GoqOYCnwODwUC228fstWuoqqrC4XDoHU+IVq+lj4r3A58ppdYqpa7XO4xofcxmM+MmTWSh7QBzbRXMM5Xx12uvadUDrHw+P0YMGKif6csIGAC/33/U5wnR3GI9xTJfPM3YYldKLQHaHuZLEzVNW9jI3ZyuaVqBUqoN8LlSaqumad8ELqUQx9azZ09e+Pc8ioqKSEhIIDo6Wu9IuurevTu1ditfuKvI8JpZb3FzUveTWv33RejLYjYTvf4z0noPoaC8HcnO1jvRULMVdk3TzgvAPgoa/i9WSr0PnApIYRdBFxkZSWZmpt4xWgSbzcZDjz7Kqy/NY2Phbrp268YVf7lS71iilTNn9SB2xyaQ4t5yb3dTStkBo6ZplQ0fDwEe0DmWEAKIjY3ln3f+S+8YQvzOweJucJgoKNM7jX506YxQSo1USu0CBgIfKaUWNzyeqpT6uGGzZGCZUupHYBXwkaZpn+qRVwghhAgVeo2Kfx94/zCP7wYuavh4B9AryNGEEEKIkCbDB4UQQogwIoVdCCGECCNS2IUQQogwIoVdCCGECCNS2IUQQogwIoVdCCGECCNS2IUQQogwIoVdCCGECCNS2IUQQogwIoVdCCGECCNS2IUQQogw0mJXdxNChL/du3ezceNG7HY7Awb0x2y26B1JiJAnhV0IoYsff/yRh6ZOp7PBRqnBx8J33mX6rIexWKS4C9EU4VDYTQDFJSV65xBCHIc5TzzJmd4oMg02/Pj5b+Fe3l30IYPPHKx3NBHCvGXlVBYXUVIBRpdP7zjNomR/0cEPTYf7usHv9wcvTTNQSp0OfKt3DiGEECLIztA0bdn/PhgOLfbVwBlAIeDVOYsQQgjR3ExACvX17/8J+Ra7EEIIIX4jt7sJIYQQYUQKuxBCCBFGwqGPPSCUUqOAKUBX4FRN09YcYbscoJL6/nyPpml9g5Ux0I7jnC8AnqC+X+dFTdNmBi1kM1BKxQNvAplADjBa07TSw2znBTY2fJqnadqwYGUMlGO9dkopG/AqcAqwH/ijpmk5wc4ZSI04578Bs4CChoee0jTtxaCGDCCl1Mv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thetastd
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Lag2Down0.0338941.237929
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" + ], + "text/plain": [ + " theta std\n", + "Lag1 Down 0.042790 1.226195\n", + " Up -0.039546 1.230453\n", + "Lag2 Down 0.033894 1.237929\n", + " Up -0.031325 1.219561" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "gnb = GaussianNB().fit(X_train_restricted, y_train)\n", + "print(\"Prior probabilities of groups: \")\n", + "display(pd.DataFrame(data=gnb.class_prior_.reshape((1, 2)), columns=[\"Down\", \"Up\"], index=[\"\"]))\n", + "print(\"Group means: \")\n", + "display(\n", + " pd.DataFrame(\n", + " np.concatenate((gnb.theta_.reshape(-1, 1), np.sqrt(gnb.var_.reshape(-1, 1))), axis=1),\n", + " columns=[\"theta\", \"std\"],\n", + " index=pd.MultiIndex.from_product([[\"Down\", \"Up\"], [\"Lag1\", \"Lag2\"]]),\n", + " )\n", + " .swaplevel(0, 1, axis=0)\n", + " .sort_index()\n", + ")\n", + "print()" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lag1 Down mean = 0.0428 +- 1.23\n" + ] + } + ], + "source": [ + "print(\n", + " f'Lag1 Down mean = {X_train_restricted.loc[y_train == 0, \"Lag1\"].mean():.4f} +- {X_train_restricted.loc[y_train == 0, \"Lag1\"].std():.2f}'\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Real \n", + " 0 1 Total\n", + "Predicted 0 29 20 49\n", + " 1 82 121 203\n", + " Total 111 141 252" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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zSe5St45I7snU4v/a3TcDuPtGYGk1kv5KoENkuX24LmVboCvwqpktB/oAxWbWM+b5RUSkBjK1+Pcws/nhz0XAruFyEVDq7vtUcexsoIuZdSJI+CcBI1Ib3X0t0Dq1bGavApdpVI+ISLIyJf49a3pid99kZucBMwmGcz7g7ovMbBwwx92La3puyV0apy+S+zIVaatVYTZ3nw5ML7dubCX79q3Na0lu0Dh9kdwXe7J1kcqo2JpIfolbpE2kUiq2JpJfYrf4zawF0NHdPcF4JE+plS+SP2K1+M3seOBtYEa4vK+Z6easiEgeitvVcw1BCYbPAdz9bYLa/CIikmdil2V297VmFl1XmkA8kuNUf0ck/8VN/IvMbATQ2My6ABcArycXluQqzY0rkv/iJv7zgSuBr4BHCR7Kui6poCS36UauSH6Lm/j3cPcrCZK/iIjksbiJ/1Yza0MwS9YT7r4wwZhERCRBsUb1uHs/gpm3VgP3mtkCM7sq0chERCQRsZ/cdfdV7n47cDbBmP60NXdERCS3xerqMbM9geHAUOBT4AmCidelAVDFTZHCEreP/wGCZH+0u/8nwXgkB6nipkhhiZX43V1j9xqIqh7Q0hBOkcJQZeI3sz+6+zAzW8CWT+rGmYFLcli6BA/w5rLPAOjdqVXZOrXyRQpLphb/heHfA5IOROpWuidwIUj4g/Ztx4jeHespMhFJWqYZuD4KfzzH3S+PbjOz8cDlFY+SfKHuG5GGKe7N3SOpmOSPSbNOcpAKq4lIVKY+/l8C5wCdzWx+ZNO2wD+SDExqJ5rs1W8vIlGZWvyPAi8ANwBjIuvXuftniUUltRbtw1e/vYhEZUr8pe6+3MzOLb/BzFop+ec29eGLSDpxWvwDgLkEwzmLIttKgc4JxSUiIgnJNKpnQPi3plkUESkQcWv1HAS87e7rzewUoAdwm7t/mGh0IiKSdXGrc94NbDCzbgTF2ZYAjyQWlYiIJCZu4t/k7qXAIOD37n4nwZBOERHJM3Ef4FpnZr8GRgEHm1kjoGlyYYmISFLiJv7hwAjg5+6+ysw6AjcnF5bEVVmxNT2ZKyKViVuWeZWZTQV6mdkA4C13fzjZ0KQqqYSf7qlc0JO5IlK5uKN6hhG08F8lGMt/h5mNdvcnMxzXH5gINAYmufuN5bZfApwBbCKYz/fn7v5BdS+iIUo9maunckWkuuJ29VwJ9HL3jwHM7PvAX4BKE7+ZNQbuJCjwVgLMNrNid18c2e2fQE933xDWBbqJoFtJYtCTuSJSE3ETf6NU0g99SuYRQfsD77v7UgAze5xgVFBZ4nf3VyL7zwJOiRmPiIjUUNzEP8PMZgKPhcvDgekZjmkHrIgslwC9q9j/dIKCcCIikqC4N3dHm9lPgB+Hq/7g7tOyFUT4NHBP4NBsnVNERNLLVI+/C3ALsCuwALjM3SuOHUxvJdAhstw+XFf+NY4guIdwqLt/FfPcDYaGa4pItmXqp38AeA4YSlCh845qnHs20MXMOplZM+AkoDi6g5l1B+4FBpa7hyCh1Oid8jRcU0RqKlNXz7bufl/4s5vZvLgndvdNZnYeMJNgOOcD7r7IzMYBc9y9mGCI6DbAn8wM4EN3H1jtqyhwGr0jItmUKfE3D1vlqTr8LaLL7l7lB4G7T6fcTWB3Hxv5+YhqRywiIrWSKfF/BEyILK+KLJcChyURVENSWR9+ivryRSTbMk3E0q+uAmmoonPjpqO+fBHJtrjj+CVB6sMXkbqkxF8Pot076soRkbqmxF9Hosk+WlFTXTkiUtfiVucsAkYCnd19XFiPv427v5VodAUk2pevipoiUp/itvjvAjYTjOIZB6wDngJ6JRRXQVJfvojkgrhz7vZ293OBjQDuvgZollhUIiKSmLgt/m/C+vqlUFaPf3NiURWQVN++buKKSK6I2+K/HZgG7GRm/w/4P+D6xKIqINGkr5u4IpIL4pZlnmpmc4HDCco1DHb3dxONLI+lG66pvn0RyRWxWvzhKJ4NwJ8JKmyuD9dJGtGKmmrpi0iuidvH/zxB/34R0BzoBDjwo4Tiyntq5YtIrorb1bN3dNnMegDnJBKRiIgkKu7N3S2E5Zirmj9XRERyVNwndy+JLDYCegD/SSQiERFJVNw+/m0jP28i6PN/KvvhiIhI0jIm/vDBrW3d/bI6iCdvqeKmiOSLKvv4zayJu38LHFRH8eQtDeEUkXyRqcX/FkF//ttmVgz8CVif2ujuTycYW97REE4RyQdx+/ibA58SVOdMjecvBZT4RUTyTKbEv1M4omch3yX8lNLEohIRkcRkSvyNgW3YMuGnNKjEH715m45u6IpIvsiU+D9y93F1EkmOy1RaWTd0RSRfZEr86Vr6BS9d615VNkWkUGRK/IfXSRQ5oLLJ0FPUoheRQlHlOH53/6yuAqlv0XH4vTu14vohe/PEWQds8UeTo0uu+OSTT7j00ks5/PDD+clPfsLw4cN56aWXEn/dBQsWcN1119X4+MMOO4zzzz+/bHnGjBmMGTMGgKeffpo+ffowaNAgjjvuOC644AK+/PLLtOf5y1/+wu9///st1g0aNIiLL754i3WjRo1iwYIFZcslJSUMGDCgbHn+/PmMHDmSo48+msGDB3PllVdW+ppxrVixghNPPJEjjzySiy66iK+//rrCPiUlJeyzzz4MGjSIQYMGMXbs2LJtX3/9Nb/5zW84+uij6d+/PzNnzgRgypQpPPnkk7WKLSXucM4GQV05kg9KS0s599xzGTx4MLfeeisAK1eu5K9//Wvir7333nuz9957Z96xCosWLeL9999nt912q7Dt2GOPLUuCl156KdOnT2fo0KEV9ps0aRJ33XVX2fKSJUvYvHkzc+bMYcOGDWy99dYZ4/jkk0+48MILmTBhAt27dweCD6L169fTokWLml4et9xyC6eeeirHHXccY8eO5cknn2TEiBEV9uvYsSPPPvtshfX33HMPrVq1YubMmWzevJnPP/8cgKFDh3LyySdzwgkn1Di2lBpV5xSR+jNr1iyaNm3KySefXLauXbt2jBo1CghakyNGjGDIkCEMGTKEefPmAfDmm29y1llnlR0zbtw4nn46eBTnlltu4dhjj+X4449n/PjxALzwwgsMGDCAgQMHMnLkyArnmD9/PsOHD2fw4MGcdNJJLF26FAha7ueddx6nn346Rx11FDfddNMW8Z922mncfffdVV7jpk2b2LBhA9ttt12FbcuWLaNp06a0avVdV+xzzz3HwIED+fGPf8zLL78c412EqVOnMnjw4LKkD9C/f39at24d6/h0SktLmTVrFkcffTQAQ4YMiR1PylNPPVX2Hjdq1KjsOlu0aEG7du2YP39+jeNLadAtftXXkdp6am4Jf5yzIqvnHNazA0P3a1/p9n//+9/stddelW7fcccdefDBB9lqq61Yvnw5l1xySVmCT2fNmjW89NJLzJgxg6KiIv73v6DL86677uL+++9n5513LlsX1blzZ6ZOnUqTJk14/fXX+d3vfscdd9wBwLvvvsszzzxDs2bN6N+/P6NGjaJt27YAHHPMMTz66KN88MEHFc45ffp05s6dy+rVq9lll13o169fhX3mzZvHj370owrHPfjggyxdupQpU6Zw/PHHV3q9Kf/+978ZPHhwxv2WLl1aoQsp5ZFHHqFly+/yxpo1a2jZsiVNmgSptU2bNvz3v/9Ne2xJSQmDBw9mm2224aKLLqJnz55l7/PEiRN566236NChA2PHji37MOratStz5sxhn332yRh3VRp04o8O0dTNW8lX1157LXPnzqVp06Y89dRTbNq0iXHjxvHee+/RqFEjli9fXuXx2267LVtttRVXXHEF/fr1o2/fvgB0796dMWPGcMwxx3DkkUdWOG7dunVcfvnlfPDBBxQVFfHNN9+UbTvggAPYdtugqO+uu+7KypUryxJ/o0aNOP3007n33ns55JBDtjhnqquntLSUa6+9lvvvv58zzzxzi31Wr169RWt/wYIF7LDDDvzgBz9g55135oorruDzzz9n++23T3u9RUXVG6zYuXPntF0ytbHTTjvxyiuvsMMOO7Bw4ULOPfdcnn/+eTZt2sSqVavo3r07v/71r3nwwQcZP348N998MxB8qKe+WdVGoonfzPoDEwkeBJvk7jeW274V8DCwH0FJiOHuvjzJmMpTv77UxtD92lfZOk9Cly5dePHFF8uWr776aj777LOyvt/JkyfTunVrnn32WTZv3lzWOmzcuDGbN28uO+6rr74CoEmTJjz55JO88cYbzJgxgylTpvDwww8zbtw43nnnHV599VWGDh3KU09tWYl94sSJ9O7dmzvvvJOSkhJ++tOflm1r1qxZ2c+NGzfm22+/3eLYQYMG8Yc//IHdd9897TUWFRXRr18/pkyZUiHxN2/enHXr1pUtP//88yxbtozDDjsMgC+++IIXX3yRYcOGscMOO2zxbWXt2rVlHwi77bYbixYt4ogjjkgbQ0p1Wvyp19u0aRNNmjRh1apV7LzzzhWOa9asWdl71LVrVzp27MiyZcvo2rUrLVq04KijjgKCrqfoDd2vvvqKrbbaqsp440gs8YflnO8EjgRKgNlmVuzuiyO7nQ6scffdzOwkYDwwPFsx6GlbKUR9+vRhwoQJPProo2U3DTdu3Fi2fd26dbRp04ZGjRoxbdq0sqTbrl07lixZwtdff83GjRt544032G+//Vi/fj0bN27k0EMPpUePHmWJ8MMPP6Rbt25069aN1157jVWrVm0Rx7p168qS2rRp06p1DU2bNuVnP/sZ9913H3369Em7z7x58+jYseJIus6dO1NcXAzA5s2beeGFFyguLi6LZdasWdx1110MGzaM/fffn+LiYg488ECKioqYNm0avXsHkweecsopnHjiifTt25du3boB8OKLL9KjR48t+vmr0+IvKiqid+/ezJw5k+OOO45p06aVfSBFffbZZ2y33XY0btyYFStWsHz5cjp06FD2gffmm29ywAEH8MYbb7DrrruWHbd8+XJ69OgRK5aqJNni3x94392XApjZ48AgIJr4BwHXhD8/CfzezIrcPSvlIJ59eyVvLvtsi/H4UerekXxUVFTEnXfeyQ033MCkSZNo1aoVLVq04LLLgikzRowYwfnnn88zzzzDwQcfXDbCpW3btvTv358BAwbQvn37svsE69ev55xzzin7BpAaXnnTTTfxwQcfUFpaSp8+fdhjjz146623yuI444wzGDNmDHfffTeHHnpota/jxBNPrHCTN9XHv3nzZtq0acONN95Y4bhevXoxfvx4SktLmTNnDjvvvPMWrepevXqxZMkSPv74Y4YNG8bSpUsZOHAgRUVFdO3alUsvvRSA1q1bM2HCBMaPH8+nn35Ko0aN6NWrFwcffHC1ryVq9OjRXHzxxdx2223sueeenHjiiQC8/PLLLFy4kAsvvJDZs2dz++2306RJExo1asS1115b9k3ksssu41e/+hXXX389rVq14oYbbig797x58zjvvPNqFR9AUWlpMiV3zOwEoL+7nxEujwJ6u/t5kX0WhvuUhMtLwn0+ieyzC7Ds5Zdfpn376n2lfmpuCUCdfxUXkWRdd911HHbYYRx44IH1HUqdWbx4MQ8++GBZf39VSkpKOPzwwwE6pes+L+ibu0r4IoXp7LPP5p133qnvMOrUmjVruPDCC7NyriQT/0qgQ2S5fbgu3T4lZtYE2I7gJq+ISKVat26datE2GAcdlL2JEJNM/LOBLmbWiSDBnwSUf3ytGPgZ8AZwAvDXbPXvi4hIeok9uevum4DzgJnAu8Af3X2RmY0zs4HhbvcDO5rZ+8AlwJik4hERkUCiffzuPh2YXm7d2MjPG4ETk4xBRES2pFo9IiINjBK/iEgDo8QvItLA5MM4/sZAhcfFRUQkvUi+bJxuez4k/rZAWT1wERGJrS2wpPzKfEj8s4GDgY+AbzPsKyIiQUu/LUH+rCCxWj0iIpKbdHNXRKSByYeunljyYdKXbIpxvZcAZwCbgNXAz9294lx3eSTTNUf2G0pQ5ruXu8+pwxCzLs41m9kwgvLmpcA77l5xZu88EuPfdkfgIWD7cJ8x4cOiecnMHgAGAB+7e9c024sI3o9jgQ3Aqe4+rzavWRAt/sikL8cAewEnm1n5SUnLJn0Bfkcw6Uteinm9/wR6uvs+BEnwJvJYzGvGzLYFLgTerNsIsy/ONZtZF+DXwEHu/iPgorqOM5ti/p6vIigB052gBthddRtl1k0G+lex/RigS/jnTKDqmepjKIjET2TSF3f/GkhN+hI1iKCVAEEiPDz8JM1HGa/X3V9x9w3h4iyC6qj5LM7vGOC3BB/qG9NsyzdxrvkXwJ3uvgbA3T+u4xizLc41lwKpqfO2A/5Th/Flnbu/BnxWxS6DgIfdvdTdZwHbm1nb2rxmoST+dsCKyHJJuC7tPmEBubXAjnUSXfbFud6o04EXEo0oeRmv2cx6AB3c/fm6DCxBcX7PuwO7m9k/zGxW2E2Sz+Jc8zXAKWZWQlAL7Py6Ca3eVPf/e0aFkvilEmZ2CtATyDxtTx4zs0bABODS+o6ljjUh6ALoC5wM3Gdm29dnQHXgZGCyu7cn6Pd+JPz9S0yF8mZVZ9IXCmDSlzjXi5kdAVwJDHT3r+ootqRkuuZtga7Aq2a2HOgDFJtZzzqLMPvi/J5LgGJ3/8bdlwH/IvggyFdxrvl04I8A7v4G0BxoTeGK9f+9OgplVE9Dm/Ql4/WaWXfgXoI5jfO93xcyXLO7ryXyn9/MXgUuy/NRPXH+XT9D0AJ+0MxaE3T9LK3LILMszjV/CBwOTDazPQkS/+o6jbJuFQPnmdnjQG9grbt/VJsTFkSLv6FN+hLzem8GtgH+ZGZvm1lxPYWbFTGvuaDEvOaZwKdmthh4BRjt7vn6TTbuNV8K/MLM3gEeIxjemK+NOMzsMYIGqZlZiZmdbmZnm9nZ4S7TCT7M3wfuA86p7WvqyV0RkQamIFr8IiISnxK/iEgDo8QvItLAKPGLiDQwSvwiIg2MEr+ISAOjxF+gzOzbcPx+6s8uVez7RRZeb7KZLQtfa56ZHVCDc0xKVWI0syvKbXu9tjGG50m9LwvN7M+ZyhuY2b5mdmwNXqetmT0X/tzXzNaGr/uumV1dg/MNNLMx4c+DoxUrwzHuR1T3nGleY7KZnZBhn1er8zR0eO3PxdjvATP72MwWllt/i5kdFvf1JB4l/sL1pbvvG/mzvA5ec7S770vwcNy91T3Y3c9w98Xh4hXlth1Y+/CA796XrgQVEc/NsP++BPVgqusSgodtUv4evjc9CQqM9ajOydy9OFKXfjBByeLUtrHu/pcaxJhLJpO+NPEd5PHDlrmqUEo2SAZmtg3wLLAD0BS4yt2fLbdPW+AJgpK3TYBfuvvfzewo4FpgK4KJm09z96q+JbwG7Bae8xLg5+H6Se5+m5l9j6DWSnuCiTR+6+5PpMosEJTUaGFmbwOL3H2kmX3h7tuEj60/kqrAaWaTgeeAacCNBMXKtiIoVZzpw+cNYJ/wPPsTTHbRHPgSOA1YBowLY/kxcEP4WncQ1AVqClxT/n0MDSWoG78Fd19vZnOB3cxsM3APsDXB+/pzd19jZhcAZxNMorPY3U8ys1MJPjQeBQYCh5rZVeHr/CaM6wvgdHc/MbymvgRlKwZU93doZmOB44EWwOvAWZGnY0eZ2SSCfyM/d/e3wt9pnPclLXd/Ld23Unf/wMx2NLM27r4q7vmkamrxF64WkW6eaQT16Ye4ew+gH3BrmvkIRgAzw5ZpN+DtsP7LVcAR4bFzCFqzVTkeWGBm+xEk0N4ERdN+EdYQ6g/8x927hS3vGdGD3X0M37XMR5Y79xPAMAAza0ZQs+V5gsJda929F9ArfK1OlQVowYQfhxPUQQF4Dzg4nNxjLHB9WA9+LPBEGMsTBEXv/uru+xO8jzeHSS967k4Ek/5UKIxnZjuG78UighnhLg8ny1kApLqAxgDdw/VnR49399fDmEeHMS2JbP4L0DsSz3Dg8Rr+Dn/v7r3C308LghmiUrYO/42cAzwQrovzvvQMPzCqax5wUA2Ok0qoxV+4vgz/cwJgZk2B683sEGAzQT3vnYFoK2o28EC47zPu/raZHUrQrfAPMwNoRtBSTufmsBW6miARHw5Mc/f1YQxPAwcTJPpbzWw88Jy7/70a1/UCMNGCqTT7A6+5+5dhi3afSB/1dgRVKpeVOz71TaIdQS2YlyL7P2TBjFalBK3WdI4CBprZZeFyc6BjeK6UtlQsGnawmf2T4L2/kaCq5vbu/rdw+0PAn8Kf5wNTzewZgiJssbj7JjObARxvZk8CxwG/AqrzO0zpZ2a/Ivg20orgg+rP4bbHwtd7zcxahvdJKntfovHNIZgOtLo+Bn5Qg+OkEkr8DcdI4PvAfu7+jQWli5tHdwj/Ix9CkDAmm9kEYA3wkrufHOM1Rrv7k6kFMzs83U7u/q+wj/tY4Doze9ndx8W5CHffGHYJHU3Yog03FQHnu/vMDKf40t33NbOtCQqBnQvcTjBz1yvuPiTscni1kuOLgKHu7lW9BuXeW4I+/rJWs5ltV8XxxwGHEHxzutLM9q5i3/IeJyhy9hkwx93Xhd/s4v4OMbPmBNMZ9nT3FWZ2DVteT/kCX6VU8r6Y2c7ViL0yqe43yRJ19TQc2xFM5vyNmfUDflh+BzP7IfBfd78PmAT0IJi28SAzS/XZf8/Mdo/5mn8HBpvZ1uHX/iHA383sB8AGd59CUEU03Y3Ob8JvHuk8QdCFlPr2AEES/2XqGDPbvXxXQ5QH01JeAFxq383PkKpxfmpk13UEtf5TZgLnp7rJwq6r8v4F7FLZa4evvxZYY2YHh6tGAX+zYEKRDu7+CnB5GNc25Q4vH1PU3wjez1/w3YdidX+HqST/SXhvqPxIn+HheX5M0L22lnjvS03tDizMuJfEpsTfcEwFeprZAuCnBH3a5fUF3gm7JIYDE919NUEifMzM5hN0EewR5wXdfR7BaI23CCY/n+Tu/wT2Bt4Ku1yuBq5Lc/gfgPlmNjXNthcJui/+EvbDQ/BBtRiYFw4JvJcM32jDWOYT1LO/CbghvPboca8Ae4X3SoYTfDNoGsa2KFwuf971wJJUoq3Czwi6x+YTjB4aR3Cze0r4e/oncLu7f17uuMeB0Wb2TzPbtdxrf0two/eY8G+q+zsMX+8+gmQ7k6ALMGpj+D7dQ9ClBzHel6r6+C1NaeJwfVOCgQL5PK9CzlFZZpEEmNkQgm61CiN7JL7wfezh7r+p71gKiVr8Iglw92nA8vqOowA0AW6t7yAKjVr8IiINjFr8IiINjBK/iEgDo8QvItLAKPGLiDQwSvwiIg3M/wfMUuams75GwQAAAABJRU5ErkJggg==\n", 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\n", 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seasonmnthdayhrholidayweekdayworkingdayweathersittempatemphumwindspeedcasualregisteredbikers
123712281414...000Jan1006000Noclear0.240.28790.810.031316
233712280424...000Jan11060000Noclear0.220.27270.800.083240
34913332324...000Jan12060000Noclear0.220.27270.800.052732
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" + ], + "text/plain": [ + " season mnth day hr holiday weekday workingday weathersit temp atemp \\\n", + "1 1 Jan 1 0 0 6 0 clear 0.24 0.2879 \n", + "2 1 Jan 1 1 0 6 0 clear 0.22 0.2727 \n", + "3 1 Jan 1 2 0 6 0 clear 0.22 0.2727 \n", + "\n", + " hum windspeed casual registered bikers \n", + "1 0.81 0.0 3 13 16 \n", + "2 0.80 0.0 8 32 40 \n", + "3 0.80 0.0 5 27 32 " + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_bikeshare = pd.read_csv(\"Data/Bikeshare.csv\", index_col=0)\n", + "month_type = CategoricalDtype(\n", + " categories=[\"Jan\", \"Feb\", \"March\", \"April\", \"May\", \"June\", \"July\", \"Aug\", \"Sept\", \"Oct\", \"Nov\", \"Dec\"], ordered=True\n", + ")\n", + "hr_type = CategoricalDtype(categories=range(24), ordered=True)\n", + "df_bikeshare.mnth = df_bikeshare.mnth.astype(month_type)\n", + "df_bikeshare.hr = df_bikeshare.hr.astype(hr_type)\n", + "df_bikeshare.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecoefstd errtP>|t|[0.0250.975]clean_name
0Intercept73.59745.13214.3400.00063.53783.658Intercept
36weathersit[T.cloudy/misty]-12.89031.964-6.5620.000-16.741-9.040weathersit[T.cloudy/misty]
37weathersit[T.heavy rain/snow]-109.744676.667-1.4310.152-260.03140.542weathersit[T.heavy rain/snow]
38weathersit[T.light rain/snow]-66.49442.965-22.4250.000-72.307-60.682weathersit[T.light rain/snow]
4540142101414...000100000No40workingday1.26961.7840.7110.477-2.2284.768workingday
41temp157.209410.26115.3210.000137.095177.324temp
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5 rows × 87 columns

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" ], "text/plain": [ - " Unnamed: 0 MOSTYPE MAANTHUI MGEMOMV MGEMLEEF MOSHOOFD MGODRK MGODPR \\\n", - "0 1 33 1 3 2 8 0 5 \n", - "1 2 37 1 2 2 8 1 4 \n", - "2 3 37 1 2 2 8 0 4 \n", - "3 4 9 1 3 3 3 2 3 \n", - "4 5 40 1 4 2 10 1 4 \n", - "\n", - " MGODOV MGODGE ... APERSONG AGEZONG AWAOREG ABRAND AZEILPL \\\n", - "0 1 3 ... 0 0 0 1 0 \n", - "1 1 4 ... 0 0 0 1 0 \n", - "2 2 4 ... 0 0 0 1 0 \n", - "3 2 4 ... 0 0 0 1 0 \n", - "4 1 4 ... 0 0 0 1 0 \n", + " name coef std err t P>|t| \\\n", + "0 Intercept 73.5974 5.132 14.340 0.000 \n", + "36 weathersit[T.cloudy/misty] -12.8903 1.964 -6.562 0.000 \n", + "37 weathersit[T.heavy rain/snow] -109.7446 76.667 -1.431 0.152 \n", + "38 weathersit[T.light rain/snow] -66.4944 2.965 -22.425 0.000 \n", + "40 workingday 1.2696 1.784 0.711 0.477 \n", + "41 temp 157.2094 10.261 15.321 0.000 \n", "\n", - " APLEZIER AFIETS AINBOED ABYSTAND Purchase \n", - "0 0 0 0 0 No \n", - "1 0 0 0 0 No \n", - "2 0 0 0 0 No \n", - "3 0 0 0 0 No \n", - "4 0 0 0 0 No \n", - "\n", - "[5 rows x 87 columns]" + " [0.025 0.975] clean_name \n", + "0 63.537 83.658 Intercept \n", + "36 -16.741 -9.040 weathersit[T.cloudy/misty] \n", + "37 -260.031 40.542 weathersit[T.heavy rain/snow] \n", + "38 -72.307 -60.682 weathersit[T.light rain/snow] \n", + "40 -2.228 4.768 workingday \n", + "41 137.095 177.324 temp " ] }, - "execution_count": 30, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_caravan = pd.read_csv(\"Data/Caravan.csv\")\n", - "df_caravan[\"Purchase\"] = df_caravan[\"Purchase\"].astype(\"category\")\n", - "df_caravan.head()" + "bikeshare_ols = smf.ols(\"bikers ~ C(mnth, Sum) + C(hr, Sum) + workingday + temp + weathersit\", df_bikeshare).fit()\n", + "table = bikeshare_ols.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 113, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 16.256725\n", + " Iterations 9\n" + ] + }, { "data": { + "text/html": [ + "
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namecoefstd errzP>|z|[0.0250.975]clean_name
0Intercept4.11820.006683.9630.0004.1064.130Intercept
1C(weathersit)[T.cloudy/misty]-0.07520.002-34.5280.000-0.080-0.071C(weathersit)[T.cloudy/misty]
2C(weathersit)[T.heavy rain/snow]-0.92630.167-5.5540.000-1.253-0.599C(weathersit)[T.heavy rain/snow]
3C(weathersit)[T.light rain/snow]-0.57580.004-141.9050.000-0.584-0.568C(weathersit)[T.light rain/snow]
40workingday0.01470.0027.5020.0000.0110.018workingday
41temp0.78530.01168.4340.0000.7630.808temp
\n", + "
" + ], "text/plain": [ - "No 5474\n", - "Yes 348\n", - "Name: Purchase, dtype: int64" + " name coef std err z P>|z| \\\n", + "0 Intercept 4.1182 0.006 683.963 0.000 \n", + "1 C(weathersit)[T.cloudy/misty] -0.0752 0.002 -34.528 0.000 \n", + "2 C(weathersit)[T.heavy rain/snow] -0.9263 0.167 -5.554 0.000 \n", + "3 C(weathersit)[T.light rain/snow] -0.5758 0.004 -141.905 0.000 \n", + "40 workingday 0.0147 0.002 7.502 0.000 \n", + "41 temp 0.7853 0.011 68.434 0.000 \n", + "\n", + " [0.025 0.975] clean_name \n", + "0 4.106 4.130 Intercept \n", + "1 -0.080 -0.071 C(weathersit)[T.cloudy/misty] \n", + "2 -1.253 -0.599 C(weathersit)[T.heavy rain/snow] \n", + "3 -0.584 -0.568 C(weathersit)[T.light rain/snow] \n", + "40 0.011 0.018 workingday \n", + "41 0.763 0.808 temp " ] }, - "execution_count": 31, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_caravan[\"Purchase\"].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "y = df_caravan.Purchase\n", - "X = df_caravan.drop(\"Purchase\", axis=1).astype(\"float64\")\n", - "X_scaled = preprocessing.scale(X)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "X_test = X_scaled[:1000]\n", - "y_test = y[:1000]\n", - "X_train = X_scaled[1000:]\n", - "y_train = y[1000:]" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using 1 neighbors\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.948 0.937 0.943 941\n", - " Yes 0.157 0.186 0.171 59\n", - "\n", - "avg / total 0.902 0.893 0.897 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.937301 0.062699\n", - " False 0.813559 0.186441\n", - "\n", - "Using 3 neighbors\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.946 0.979 0.962 941\n", - " Yes 0.231 0.102 0.141 59\n", - "\n", - "avg / total 0.903 0.927 0.913 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.978746 0.021254\n", - " False 0.898305 0.101695\n", - "\n", - "Using 5 neighbors\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.944 0.993 0.968 941\n", - " Yes 0.364 0.068 0.114 59\n", - "\n", - "avg / total 0.910 0.938 0.918 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.992561 0.007439\n", - " False 0.932203 0.067797\n", - "\n" - ] - } - ], - "source": [ - "for i in [1, 3, 5]:\n", - " print(f\"Using {i} neighbors\")\n", - " knn = neighbors.KNeighborsClassifier(n_neighbors=i)\n", - " knn.fit(X_train, y_train)\n", - " print_classification_statistics(knn, X_test, y_test, labels=[\"No\", \"Yes\"])\n", - " # plot_ROC(knn, X_test, y_test, label='KNN')\n", - " # skplt.metrics.plot_confusion_matrix(y_test, knn.predict(X_test), normalize=False)\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Logistic" + "bikeshare_poisson = smf.poisson(\n", + " \"bikers ~ workingday + temp + C(weathersit) + C(mnth, Sum) + C(hr, Sum)\", df_bikeshare\n", + ").fit()\n", + "table = bikeshare_poisson.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 114, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.941 0.994 0.966 941\n", - " Yes 0.000 0.000 0.000 59\n", - "\n", - "avg / total 0.885 0.935 0.909 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.993624 0.006376\n", - " False 1.000000 0.000000\n", - "\n" - ] + "data": { + "image/png": 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LxZSKws9iwt0FALvKXr6zMI2IqLHo83rNnNtGX2s07HQNtfIR/NMfBlYesbhAVebvBRZ+Yjxv/UnzQVy7zt+pDwjSVJufa2ZZ7+UC0PetmUBz/od6bxuyiZxxItqyOg6URVEcEEVxqPg7gJsBPAPgbgDvKiz2LgB3FX6/G8A7RVEURFG8DkC0LEWDiKi+89/SG++peVj7yL+DwHvjGb0bsNScueVjx4Dn/qZy2tqj7W+fXMplN3N2ySx1t+EpUZdZUaM8DeBBURSfAvAIgO9LkvRDAB8F8GpRFI8DuKnwNwDcA+AUgBMA/gHAn1pQBiKiLioLghKFniKaDpVtQWBve7rJFgnuALBbQYsc+5T+j6hPddyYT5KkUwCuNJi+CuBGg+kaALYSIKLWubHBVqlMnQSZPRKgahqw/CAwfg3gC+u5za30yrD+FBCcaq8Lvo1nATUHjF/d+mvNij4PnL0duPT/BnwD9m2HiHoGR+YjouY01b7+hXuSCwP2bkie1ntlSM8De94OnP7H1l5//tvtb/vcP+s/LQ+Uy25SVh/Wf2YWgcH9Fm/Haj1yc0XU4xgoE1FzKw8B8z9yuhRlNFgarLbcOLAbQYoTgVCTbaqFLuvUnP1FISJyAQbKRNRcPup0CVzMgoDdbb141GNJmombddKfdA9a/qVee25k41kgOA6EOR4YbW0MlImoN7ktX9mJ4CpxRh+YY/lBYPZ3AP/Q5ryNZ4ChQ4A3WPma3Aaw+FNg8KD7ukbLrQOrVT2A5OP6e7GKpgEr/wIoVaPkrTzcON86PQ9kV4HRy60ri9Pmf1x/XjHV5YoPd6UoRG7FQJmITGgzKM3H9NfKKSA4AXh4yrHUqS9v/i54gV1v0n9PLwDnvqkHdbvfWvmaC9/X883Xn+5aMU1LLwAXvlc57dw/A8lz1m0jda42QMzHmg9wcvyz+k+zgfJWqZUm6nO8ahGRfcqH3x27cjOQa5tdtcidBDV2pSN0sL5iDnGrKTNNgzsHavGVjLXrqx4aXNMAmBxW3E3cGIhrmj6Ii5IG1Kz+2YWmK590mKVkAQiAN2B5MYlawUCZiLojdd7ClbkwSOiIFe+nfB0Ncm2tSFnpZpBmeYqN0fpclsZjt9x6a0OEm7XyL7W19YEx4PAHWl/Xs/+v/pTkBf/FmrIRtcmSIayJiLpviwU3AFzzntUMkDjldCnMi5/QUzgSp/Rc46YKNwIbz+o53TWzVX3YcVUBln6uN4rrJRfv1UeItFr8RO203Hr766uu/SdyAGuUich6qtzaQBRFuSjgDVc+bs3HAY9fb7TmGi3WqEr/S38k3S9SF4FTX3W6FOYV+3veeLa11537Z33gkUv/78rp608AF+/RbxgWfqpPm3pJ5+UkItdhoExE1rvwXX0UtnJmHtc//wkgPA0c+pPNaUf/pz4K3KUftLaMVjHTZVp2rclKDF7bSXpDw3SFDmql3dbTiFUavS+jG5xi3rTV+dPdYtvn2OJ6VQXQ8i67CSaqxNQLIrJe4mT7r00b9OsqF7vyKr8QW3mx77ec53ZxP/SOLn1Wa49vDjRjtXP/DDz7UXvWTWQR1igTkQ1sqLGKn4Q7eydw2SAV608B2RX9dzVrnDfajrXHgcyyNetyFROf28rDm79Hn9f7UzYip4HYc0BoprafZldp4fs5d7eepz1zg/XFiD1v/TqJLMZAmYjcJ72gdytV/oj49Nc2f3c6KD17hz5qmfhvrVlfdg2Y+25n6yjuk/Pf3pyWWd7MzzW3kvqz5u5uq1idcyDdo/r4Ku8h4uzt9V83d1d/Bn/9lF9P1CKmXhCRCVYEKy0Et8c/A2z8pv78fMz5YbWb5h23aO0xa9dXV5/mGXfEon2ibKGAUlP1hrZF+TjafuKTPAdkVvTvvJIF8m2MGJlP2JciQlsaa5SJyAYWBB7ZBo/5j3+68/WX66iGupuBJ4NcV6k5blz2+aw+CoxcCvgiHa7I4Ptx8YfA6iObfx/9n+2v/uQX238toAfIRz8GjF0B7HpzZ+siqsIaZSJyKZfk/JrWjfL22j7pUUs/q0xh6UXpRX048PN31s6zoteLuNT5OixTqMmOPudsMagvsUaZiDojp4HcGhDZ0f468nFATllXplZt/KZxqodTnv5wCwsziG6LpqGmJjg1p//rZZqs/1Ts+l61EGzHTwCDB/q3e0Hqa6xRJqLOnP4ycOIfTCzYIJB7/hO16RRON9gzq6sXfwu21ai8rtznfRBcrT9tw0qbfVYu6o3l9D8CcRtGAixx0XulvsNAmYg6Y9TvcavBo+bGbt9axYs01TnujdIfHNXqzYcFx3Z5wz+iHsLUCyIiqrT+JBCYAOLHAf+Q3ocy9RYzI0Z2lVvKQdQaBspE1JxRDbGmAau/3vx78QEgMAqMXWXNNnPrQPSoNeui1pz/jtMlsJYgNH4sz9xZIqqDgTIRNWcUZGw8BVy8Z/PvxQf0n2NXwfDRbqv5g9Hn3N+KPXFKH7XMFczuXwaFW1L8BKDKwMjh+sss3Ne98lglvQiomcIfrLUm6zFQJqL2KFmnS+C8U191ugT9j7W9bapKvSiO0HjFh1H3ZmnpF22s32FW96lOVIWN+YioOcNgpcULpZphrqsbdDvwPPH57m7PUKP3bGEtZL8G9exNgrYwBspE1B1KDpi7G0hdcLokLVE0DQoDhfb1en/EDXVwXNje04vNXaa1elOQXdVTlYh6DANlIrJBg4uomuteMSxwbC2BY2uJ5gt2I5juuT6Qqa7f/BWQOO10Kbpn5SGmKlFPYqBMRO1p+zFzbwZ0sVwestqbZTev39+fy8SP27fuRt/Pfk0R4fFLNmBjPiLqrh4dXORCPIOwz4u9IxFzL4g+DwyLLgxKGpRn8YHN3ktcw4r912QdltXGt5q3n7dou41Y8d4YgNLWxRplIrKey1IEnl9NYDnVeS8debWFIP/s7frjZiKynqYCuajTpaAtgDXKRNQ6TUP7NX3dr1HWoGElncNKOof9owMIeAUI3ejeKrdq/zaoh3VwDDa94WzUmK8LtfR2W7y/xe7siNrDGmUiMsFt6QPtO7WRxPOrJhrnGWm1MlxT2tsOETWWOFk7zQ0NWjMr7igHWYaBMhGRSbz89aiu5Yl38Yay6Xvqn5tbYy58f/GTwLH/rY9aSn2DgTIRtafd4MOm2paUrCCZl21ZtzlOh9FOb5+6yvT3qGq5mATIqVY31uLyW1R2Wf+Znne2HGQpBspE1BfORlM4F0vbug1F07CYzEIzChwW7gOe/rCt25dVFQvJDNQ+eLQrqypScpPUlOVfAXKysw0d/zSgNrqB0mBJILjyECDHO19PO/Jx/dhLnmu+7Jl/sqhbOhfW6BLZgIEyEbWh9wO1dq1lckjlnck9Ph9LYz2Tx1qmtwZtMXJqI4Wz0SY1m/P3ArkN43l5k3nm6cWWytW2iz8EMsvd2Va15Bn95+ojm9NKT3z69bvqxkDd5tEQyRHs9YKIbODGi1hrNrJ5zCcyhvNMXwYtv2AK9qzWAR0NCx49Cpz9hkUl6f1jlYjsw0CZiNrUvwFGVlEt6Xe5EbnQJ7PP0/qDPVXT+3T2t/Fau52NpZBTVBwaG7RvI6nzFq6sD+46qr+Lc98FFAvTkNx0Z6bkgGf/u9OloC3EfWdZIqIWKJqGeG4zBzWRlyF3cGHPKipObSRtH676+HoSx9fby79dy+Rwos3XWn2Do2oajq7GsV5IB0nllbb2XVpWjHO/m2y7o5rpjrkogCy39hgQfc7ebTg14mRu3Znt0pbFQJmoW+R0a/mSuXWOPGXCfCKDufhm7dn5WBqnN5K4EE8jms1jNW2czxvL5ZExaEwmtzL6nsVSeQUJR3vuaF0xKF5Ntz8cc0pWcCaaqvtZ1XNqI4Vja232iU29yXVDwpezuWxnv2F7g2GqxUCZqFtOfUlvgW/W858Env+EfeVpRfXFqdHIfOtPA0qr3U+1L6fUBrayqiGWk3ExkcFSnRSKC/EMTjdrTNZlZ2MpnLe5545uWcvkkDX4bKpFs3nEsnqQnZFbu0kpH1Jcg4aNbL7lWuluy6tqR72WZBUFR1fjdbpCdPd774pn/rpxQ08l26QXFCvY9DlEj9qzXmqIgTJRt2SWnC5Bd5y/U68970GqZjLMarDQuViqbq8UsqqaCuQUTSstt5rOVdSY20HVNCyn6nR7Z5Ki6sOEFy0mszhj4kbkYiKD9Uz7tdFFa2m98WU0004Q1L0A88R60tR+MZJXVUSz+vtbsTmHvmepeSBxov78Z/9f4OTnu1ce6nkMlInItIuJDI6uWtRX7NpjQHatpZeomlZKl1AKubFmai0bKc9xldYSHdfoJvMKFpO1QUxWUXB8PYkNE0HhsbUE5hP6OpZS2YocbDuspHNYSedMla0eFVpNA8h2a07jObnlwWOKKSDFz3MxmS3VVLuNmWM2ls0jq1SmBp1YT7acnuKqhnjdojb53NML3SkH9QUGykRkWtSqwEPT9Jb5J/+hpZfNxdM4HU1B1TTDlIt2HFtLWPe+GsgqesCSqOqD+ehqHBsG2zcM8trMz5xPZHChTld3JzeSWCsEX3bFVMupbPM+k8vMxdNtDx5TfAtrmVzd99wt0Wy+Ij2kFRcSGZza0PdZRlZqbpa0rvY646Zg28T7zkc5Oh5Zht3DEZFz5HRLjVNSeXsa2iXzCkaCftPLaxW/a4hlZQwHfRAaXMSLcxRVqwl61tI5jJrZfpuRbDEQ32Ewr/yGw8zaZVWF1yNAgABF00zVGhdTMhRND++s7qmi/CnHciprqmu/lXQOy6ksDqkqfF59mqppSMsKBvydXxo1aLiYyMAnCDg0PojVdA7p6saj648DmgLsvLXueo6vJ+s0MDXYhxvP6v+2uqUH9X9XfLi723V1Q0NqFwNlImpKUVWsVgQfztcwueWStJLS0xYEIYThQPNgNy0rNTnHZvem0XVYg4aNjIyRYc3UI0JFUxHP5BHyeVoOWItd522LBDERDrTc40QnPVTkFBUagGDba6hUzIvOKip8hY9tKZXFeiaPfSMRhIrRc4eKXRUaNipVZT0FqSxQXsvkkC576tCNXljOxdIYCfowEvRjI5tHPCdj11DY1GuLTz6GW7jRJOollgXKoih6ATwK4IIkSbeIorgPwO0AJgA8BuAPJEnKiaIYBPBVAC8CsArgdyVJOmNVOYjIpMQZILIT8DQ/DZyLpZGpzo1su/ak8yDb+TB9Uyk31rDv4PZLavzKyn2ezMtIy/rgKPFYGrvL5kWzeQwGfPBWfU5nomnkku2lJOQLtc/JvIIJc3GUZU5u6P1GH7FofaW9Uraji7nDpm8gbMhVMcpvt1syr+eEjwT9dUejrKeY3sJAuZybzlDUKStzlD8AoLzvkr8B8AlJkg4CWAfwnsL09wBYL0z/RGE5IuqmzDJw6svAxR+YWrzdsTcuxNOYi6chrSUQq0g3aG+FbqlFbtW5WLpuN3WtqdwD52LpUppBeS5sRlZwMZExDHryneR2G0WXFsoqKlbSlfspp6oW7TudBg2LyWxFTa2maVhKZZFX6r+vVF4uDariKpklIN9eA9ucotamg1hAVlXkVRVZpbOu8ErWHtdTtNQOypqLAolTnZeFthxLAmVRFHcCeD2Azxf+FgDcAOCbhUW+AuCNhd9vK/yNwvwbC8sTUbcUh7fN2tNlnQYNeVVFLCcjnpOhahqWTNSUyQZ9zCqahkyh71jVJTU1RiPCNSpZMi9b1viwGQ1a6cbGcIS8Np8EaNBKbzKdV23psi6nqFhOVQajF2Lp1nt6qLKSzpXymFN5BWuZXNnnpeclr6ZzpZsNo8/ybCyNBYNj+Ew0hbMxB/vjPvYpYP7etl56cqN+V3UpWWm5IaIGrdS7y4n1JE5tJNvuRSavqps3M/M/0n+qObR9u3zs74BTX23vtbSlWZV68bcA/h8AQ4W/JwBsSJJUrEKaw2Y7kh0AzgOAJEmyKIrRwvIrFpWFiJoqXGzM1va0GFwtJLKGPTk0c3w9ibDPi70jkdK0unmtDt5eXyzU1B6ZGLKmHFqdoLZKw00VPsvnVyv3l1UDcJSvV0Vtg0S7WFH6Yq376Y1US8Hf0dV4KR+7XDFXe+ewbEuNrN3yqtr0xrXYS8mRiaGGy5VbTuVqbmpSbe6f4hDtRwBrGsl1MsiInARWHgKmb2hSlhbPq2blNtj3s4M6rlEWRfEWAEuSJD1mQXmIqJtSc/ojTaVxjV3NpWH+XiD6XN3lOwmi0rKC9UyuqyOsyaradpmtiJNzqorj67U3BBU3G8c+hYGVH7W03rSs1ATO/aG9vZ5RlJYbMC6lshX9GedVtdSAbbWq9luvUVWhaJqpG5/uqC3HQjJblQrVjtrPoNWbhqyitnZDnTgFpM61tA1LzH0XWPqFc6kb6081Hm2QbGVFjfJLALxBFMXXAQgBGAbwSQCjoij6CrXKOwFcKCx/AcAuAHOiKPoAjEBv1EdE3VJdK5KPAd5J869f/XXj1Td7fZNgZSGZhaqhpiavpW20IJlXkMzbMfpdZ8FSRY6xRSM7CqhfKreEds3ZW9J0Xqk4RIv9GQObNZ1GjGpU3ajbD2MuJjKYGQjCU3XeOVVooBnLyvB7BMRyMnYPhxGu1+PIuX+2u6jGtMJNhdad9Clyl45rlCVJ+o+SJO2UJGkvgN8D8FNJkt4B4H4Aby0s9i4AdxV+v7vwNwrzfypJUu+cn4n6UvtfwXhOxlw8DQ2bwy63eiXeyOYxX9UTg9V97fY7u/ZWWlZqGtg5av1JIGtvpt5Km8OGp/K9l4bRzNHVOKIGjRij2XzFTcOJ9WTd9x/N5hsO6pPMy9jI5qFqGs5EU6UeTszSoOHkRtKekRgzK3pf183ETwC51kYabUhO6w0QAfbP7DA7+1H+IIDbRVH8CIAnAHyhMP0LAL4miuIJAGvQg2si6kEatFJA8fxqAkGvB/tHB1peT70uqbqZfmEPl13g1p+ET15HszrPtUwOAa8HiZxc6m/YNc5/x/JV2t3RoR03fWbWmJYVBP3m+tduZDWTw0jVtLl4Bp6yfO92RyA0UtvwtfEnpGn6ay4mMtZ2U6dkgWP/u3xL9Zc9/Y/WbRfQtysnuz9oCtWwNFCWJOkBAA8Ufj8F4FqDZTIA3mbldomo+9KyUtNiPtugZ4e8quLoahwHdqmon1CxaTXd7DG2y4JQQy4L9M9/B4Fsummg7ERfvs6y93PqZKCVduUUFWeiKQwpEezs+tb7hOrgTaLcWq062cfKfpSJqIGsojZ8/FgtmZeRytvVs0B1kNk4UNAsaLhTlMzJTbfXk3rkLTWpm7N8e+XDS7tRZ08tHPzQm9RSF2uxi+kQWUVBpsl3tt75yYp3qWhaB10k1j9qM4qCjGxT7rCZlAdV1tMkoB9LK+kc08b6DIewJuqSYsOV6keY9Zwr9D/a1khkF+8FVn5l/NgucUofcMRIeh4ITADesjrfpz+MwWQWrWXf1W8ypllwEcnICvKu6VVAV12aZF5GRDO6xXAvVbP2EXqvsOozamU95+NpzA6E4PN05wgpNkhs1N3bxRZH5WvFciqH5VTOspEVi06XNbRs+4xw/LNAYBTY87utv/bUF4HURQDARkbGciqLVCxVMUpm53rpLNJ/GCgT9aOVX9WfV6/TfSWjXzCGDwN77Ws6YEVly7k2BzGwg1DnInYulsZYJIuZLpXDituG5uku3devIUIiJ2PNm8O2SLCt1wua2fQYd91QulJ6Xv/XlMG+LATJ+tzCcPasUe4rDJSJ+pmm1X18qGgaPEIh0NO0zQ75U+c73my/BjetynRpNL7+1tnR1LTHjh6NaULxZ4GN39Sdb2JYDNMEpwM/g3PYeiZnOFKiG9i1t1RND8XrdJ5HNmGOMtEWlFdVHFtLYC1dlpNYuhiZO83b3VNALzAacruCpnY2IliVrXYDspbJQe6w79rqIbFrWBQErmVy3R9kJH6iu9sr4/SxuJHtxsiQVe8yJgErj9i7yeIgUAblOBNNOdIwdKtjjTJRtzWo5bVhYzC6pOUV/YK+kc0j4PXA/CC1VumPcPl4g8EnSua+bX9B+lQ3et/opDFf+WvbKWtXKmqrtpGRFbR661GxCk0F5n8En5JA//Ua3cTa4/rPyZoOvap08ME2GMypUa9CZB/WKBNtRYXYOaeomIunkZLlzYk2B7HF4CKZlyH3ecMxDYJeC0WuJrR7zLvkfk/RNJzeSJkKpE5HU0h0Mnx18iyw8hA8qn0N/xrRoGEplUWeQSN1CQNloj6UVZSWuqJT23pk3H6tuKZpOBdLu6pRnh2s6OHDak4/Mncj931KrUnkZGQUBSspvVY7lssjafMogd09jja3llNUrDbogm0jmzf3lGD1USC7Bmw8a1UhLcJvqNsw9YKol1z8ASAngN2Nx+wpdgVl1BWdtJaoyavVylM0uhjc8VEi9bbOvit2jTx5Ib5Z29v7o1tWavZu5hMZeIUwhgJNwpsL3zOxNXcErdGcjIsu74+8n7FGmajrOrhwrTzcWg2IQdBr2PhM06CoGo6uxrGc6kJLchfWtNrHHRdbqqd/jkUV3egH24njWTD4rb71TB5Ldc5jJzeSWEi2ljYSzeZxdDXecN9mZAVK8cmcxYfUetplw8hvMQyUiQgAkC8Er6s8KbetuvZOK/s/UTVVg6V5+omcjBNmGpi2yNIjuAs3ycm8XLc/8JyiYj1T5xyXPLfZS03iDJA8jbSslJbPNhgB8HQ0hRUL+yCXVRVZRU+f6VrbbzLE1AuifrFwHzC4Dxjcbzx/5RFg/oeGs8oDPLOPannurrSUytatxSJrpfIKzsZSzRd0uWg2j2g23/FodY58F7u40YVkFuvxOMTxwdZemF4A/MOAL4KsojQMdAEAJ78ITFwD7LgFOPVlKJqGM9HGI/+l8goySnU+eOc3AyfWk9DQ5sisZCnWKBP1kEReRixXpzZk6Rf1R90DgPkf6F071SE06PWiukYjmZeRq1MTZqY/2a1Tx2rcPZ9929oa4p302mCkh1OBEnnZ9oFthPLzhgPVm8Xa4ayiIqe08Fkd/wxw4h8A6O02LtQZojuazSORLxxTmcXSdDONcc/GUu11Y6gqDY+7yjmslnASA2Wibuvgonw+lq5oqGNiY6Xf1tJ6nl1dhQtg9Shc65lcTU3MuVi67qPNxWTWRK107wYm1G96+1g83+C7CPT6u6t0JprCXLzFnnJy600XuZjI4HyxBx4LbprC8d8A0v+qv4CSAZ75b8DygzWzYtkm52nqOgbKRF1mV5dhx9cTeo7c/I8M5zcc7lUr/a/mwrqQzG7Wtlih6v3390hTrAnqBf0UTNrB2v3Tu3t7IZHB6ajJlJ/sWv15+cI5b/3JmllLKbYRcRsGykR9QlY1LKeyyC1s1lJUBOUNHpl2M0GgWr3+UPuChe9tLZNDRt5yY6HZrqNPqJ+P3br64+Yvp+jDz9f2ZFH/M5U1zZrvoNCdwZ3IGmzMR9TjNjJ5pMtO3ic3Omv1XhylbD2TL7W6Jud1YzjnrShw7uvQ9r/b6WK0yYlAy4FA2YZNNjtPpvIK5AZtOkyZ+y4QHAemXrI5LbMC5NaRzMsI+VV4zayH3V44ioEybVnSagLTA0GMhvxd3a6mD2xsmceO3o9QfgnjdbbWquIrnnjuPgTkdUx0ULa629iSNXHkSkoGQvqi06Wwjw3fte4PFNSdQHE9k8NQSIUP6KhXFUXTkJYVhNce0yeUB8rH/jfyqopzsTTCchp7OyoxdQMDZdqynl2J49mVON4szjpdlI5s37jX5JKNLzabc/UL62z0x+0Wicg2bOjkgLJgO5GTcb7Dp1at6lZ96kIyizVPGgc6XE88JyOek3FkYshwfrFToIxc2/ZDM3izrE92FnOUiRyQV1Xcd2YZx9cS+Pm5VdtqWM2uVav7B/UME8dQVlHQpOc+ooY67oqu7Dg1+2zN2mdwjSlyVh9sxAIb5d3OFaia1nfDivc71igTOWA5kYVv5UEcT+xDOHcB+R2vRcBr/cVA1TQImgahaY4bT9x2yCgyorJ7WrGf2uj9QTps0eaN6lb81vR7umwgvwqc+rIl65ov9NtcPmiIVNHLj0Gf9UYr6ved7nIMlIm6TNM0eFOnsC3+IBDXe6jQlFcB3ojl2/ru8QWMRQbwyj2TTZbs8ol4i+QoJ3IK5jIZPrpzua1xNFqld4K2s7EURoJ+jLbwGkXTrB/Qpg4zx10yL0PhYyBHMVAmcoCAqt4kbAwc1zLFGs1GFzi1q8HrVjntd/ORMQBg49nubo/IxVJ5Bam80lKgnFPU1gc1aZOZs8O5Bz9oezmoMVZ0ELmBTZHjaPoZhLNzAMzXA3UniN0aobLQ7fe5YDzYDG1xHd4E2zLgiKp0//vhNj3wZO1CPI2NjHvSx5zAGmWibjM8OTY+YSZzMo6vJxFscVMz0Z8Wfvut5sUq/LT/4uX+iwNtNf18TGrA6sOWrU2wqn4tdrSFbfZOuke/efjiBgD0fO9QnWCNMlGX6Zfk6hN/4wv1I/MbHTfE0tggpOuC+aWubSuUPgnkol3bXr84vZHCQxcaDDfcSA/UCAIA4iedLoGBHtl3dSwnU/jp4ya75kzPA0oOSC9WzTBozNfmefo7x+bxq6rj+Icnl/DA2ZW21ueEtXQOsgvzsVmjTB178PwqEnkFr9m/zemi9IxGp0JN05B38GShAfjx6WXstG0LAnr9ImlWUF53ughkwtY4Gl3iwneBXW9q6SVeNY1uD3HSzMb5+zFbemLX2NGHPoawz1sxgqquvSPvwfNr2DEUwr7RzQbgqgbMJypH70zJClI2D3uvqBpiORljHQ7clZVVPHBuFdsHQ7hux5hFpbMGa5SpY0upHFJ5DnVsViqfR64qEC7vV/PYWhLfO1Fd82Cv6ooxe1t9sxdR6g+R+FOObbub3yFLn0Wtt7jP8nF4NPcN3+5VWmvwVxskt28plcUTi+54evTowgbuP7uCrNzZrYxSuAitZ3JWFMtSDJRpS3JyCOWfnl3BM8v1Rxe7WOh7s5HFZBbZlk+87ki90Er/I6KOOHEes+A0Es/J+MkZkykB+VjnG3Spdj+9Ixc/hpkN8w13L8TTyKvW1slrmobnVuKlvqJlrf31zycyWEjq63HjpYGpF0Q9IJQ5i4OL3y39/cu5NQwHfLhp35T1G+uVvEsiq/TxIa9qGqJZd/VaMG+iMsD1HK53GEs9XXfe6Y0UnlrarHF++OIGdgyG8GILUxpW0jk8v5povqAJv7rg7hQ1BspEjqh/ljWaM77xM6hKZS10y+kRrmrM18eRiUMSORlHV+s/qaD6RtI92v+0ie+0oqqQ1pMYsmJ7xz+DcPyCFWtC758DLHggb1ApobW43mNriYqG3smcjKeWojVD1SdNpkdGs3ncd2YFN++bwmCgfohYU3RNr2V+fCGK4aAPv1mO45aD0wh4ez9xgYEykY2ysgqfR4DXU35Ba+cC0Y0gt9cvXETtieSsCv7ac2w1gcGAD4vJLEKOlqSJ9ILTJaAyj1xcx1y8snb+3tPLhstWtwxJywqCXg88VTdb56J67vXFeAaXTAzW3bbRPVpaVnA2tpm7vZHJY9tAi52auvAyxECZyEbfP7lY6uPhSPmMqrOMVn9WX3LhuZDIMc+sbD4JONJguRom0qR8agoBubOGX1Z+XzVo8OSj2LH+fQvX6gCbztOtrLY6SDZLUTX84OQSdg+Hcc3sqOEyrX7mGmr7uy6u42w0hdGgHxvZPPaMRGpe28l2u4GBMpHNTH3xyy547FyfiJpqIaIIyqsdbsva8CW8/kuYzZr+2blVbHNh37q9rNjDhFGuuNUVNWlZwWMLmzdq2yJBhP1eazdis95PHqG+klNUPLMcg2pjg7LVdA5novW79skrKn6z1FkZ4jkZi0njLo38ShxetcWagC7GzgJUHFj8B3s3wgaDRB1J5hWorqx/a0zTWvv6m82t7bZers4olr0bR091D1O9eMyyRplc5TdLMZyNpTES9GPXcNiWbfzsXOPaledW4zi5nsJgwFfRoXsrflwnTwwA9i9/peFrnUq9KD99BRQb++jsvfMkkevkVRUXY9b0OtBN0loC65E03DWkRDvcFSqHcxche8LI+zb3bCi/CBU+5PwTpZsTaTXRUp/Oh+c/gVjoMIB3N13WeI9UTS07/6+kcj3RAJk1yuQqxVrcbvZzXN17RPEpn5212jXKt6UppoY+br10DccDbHlt7fKmz3dtW0T9zBN7vqvbi+dkJCwZjMhdQWavmo7eD0HVB+jYu/J/cHDpCxXz9y1/DQeWv1Qx7dmV+GYvGQ1O+8VZgqYY9gpT/QlqBhMbDS2lqBp+Pb+B5VTlACNurEdhjTJteT8+vYyX7RrHVERvnevEKbz85DC+fj8m1x6pWqJ/7mkDG48C4wecLgYRtWgu3tpodH3NBa2ux5OPQRV8WB5+WVuvVzQNFxMZjAR8yKlaxTDUR1fiOBNNYY/B6zYyeSRMpMQkc0pNmo0GIJVX8MNT9SqD3BcqM1CmvrOcysIDARORgOnXxLIypiJB3CnN21iy5lJ5Bf7sPKpPQV05JXfp/JTIyYhu1E9NISK3cV/w0h86369ek8N7G21JA/BQ2WAfbxZnK/KXU3WC4Z+e3RxVMZBf1Qc/0d6G6ivVU0vGoyoaPZUQNBkHFz+H1bFXA5ip/0Yc0D/VVNR1mqbV/SK1zYK79F+cX8PPznfYytsBGVm/y47nm588x5JPwC9bPZpRdy6GG9k8Tqz3Xm4lUbVUy8PIU/9wQf9wXS7AWjqHZ5crc4p3rd2J8eRjQC7aUdF9ShI+NYWp6P0drMUerFGmtj2/msBRi4awrGZFyPaj00u4dnYMo2WPk9wsp6gAAE2ovX/Vqk5BM9H7IHsiAP5bN4pGRAaK39lOedQsVMEPGHz3aeuI52Qoil0VFibXWyfaPbmerFtDrK/d/HfBqD5ME7rZF0dr+K2kti2lzD3yaYWVN9OJnILnVtpvUdvdr2vFkCOmXmH2kVur6yWi7hIX/g6z0XudLgY57Menl7GSMdvDdGvMXs/qXSWqg2SfksCRix+r6CHJzBXGqBz7l76AA0tfMpjjDgyUqQMMvAC9dwylTof4odwCfIq5WvfiQCPVtcfd081bA/fVGhA5aTRV27OAe1j8fXVBQzg3Gks+gVDOpmHCTXyE/zK3hrmYuQabgXYHsTHoRzsor8Oj2XODYAUGymTKSiqLO6V5JHMyZFXFndI8VtO55i+0SCxr75comVfafj8/ObOMu44bn9z2rfwj9ltxp2z4rEqzrPHhfDyDcw0GYSEiInvNRO9DON9aoOxVkgjn5iqm+eUNjCafKv195OLHEElJTde1kMwikZMxmDluYlQYo5sdfZqgyRjInDJ81X1nl/Hg3FrTsrgJA2UypTiS3XI6h4xsTV6eWRfiafzkzAoutNE1UUZWsWIiReTEerLpQCT1JHKNG/R4tWzNiayW6mgF/dlYGs/ZlG9ORPbo1ecyZp+yudVPz6xgLm596mE7hjPHsXfl9oppe1a/gdnojyumjcUfNrW+sdQT2LV2F4bTR1sqh6KqyKt6bDAdvR+71+40rB1vOhq5C0dt7bgxnyiKIQA/BxAsrO+bkiT9V1EU9wG4HcAEgMcA/IEkSTlRFIMAvgrgRQBWAfyuJElnOi0H2asUw3XpGC7fTDQrl37uGGptPRvZPH5+fg1vFmc7K0SLQrl5BOXNu+bqE1nL+uxRpdCzl3gi97D7SZtdvGrG6SJ0ZCObx5TThWjAaP+avYL4FT0X2ae2djPz4Nwa8j4N4dwFhGS9j2RPy+1o3MmKGuUsgBskSboSwFUAXiOK4nUA/gbAJyRJOghgHcB7Csu/B8B6YfonCsuR27ksTsvICh5b2CjlBp/aSCLTpKsmRdVwfM38l7/RqELN7Fv5OrZv/KCFbbluFxMRFTh3dppM/Itj27adDbWnRy5+zDDft+J6pmnYvXoHBrJnDNZQSJ9oev2rPSa8Sgp7V/4J4dy8yXUYcV8lSseBsiRJmiRJxejDX/inAbgBwDcL078C4I2F328r/I3C/BtFUWSM4GI/Pr1kKn/1R6eXcC6aMr3eRE7Gd48vINlkSFSjg+PppRjORtO4mMggkZPx5GIMj1zcaLieo6tx/GbZ/ePKOzc2oPtOUETkPDW7gvMtnNutNFQn19VJkew5+Mt6e+g1Hi2Dgew57Fj/bs28dhuTC9AgwIrhzd3HkhxlURS9oig+CWAJwI8BnASwIUlSca/NAdhR+H0HgPMAUJgfhZ6eQS4VzymlEKpRKJXIKXh0wfzJ41wsjbyq4WwsDa3QMO1cgxa3GlBabi6eKU1TC3flK+lcw8Zt+abJUa25EE9bN5JfW2Vr9TUuuh9lTE7UM9TMKk4f/6HTxXCNPat3YCT9vNPFaIlQUXtduBY0Og83OUebCqgL2xzInIJfjtZt4FfOjWl5lgw4IkmSAuAqURRHAXwbwGEr1ktbR02cWOe70kms22qYqGp6uobXY/zK0xvO1LAQEXVbOHfRsnU51wUm2cc4gdCrJLF77c7S38em/wSKd6CL5eqcpb1eSJK0AeB+ANcDGBVFsRiI7wRwofD7BQC7AKAwfwR6oz7qEVad4srXU91WTTOapxm0aesgxyuYX4KnQaOSZ1fiNd2+raVzOBtN4eR6ErEmKSOt4qWDiIjsUVujbFx7a+WVSIOAyrZDHq3ZddN9NcodB8qiKE4VapIhimIYwKsBHIUeML+1sNi7ANxV+P3uwt8ozP+pJEnu2zN94EI8jXyHQ6xqruqqxdqy7F/+KnavfrP5gmUeOLeKxxaieGopZnE3eW7az92w1d4vEZGxvKpaNhx6M6PJpzGWfMLEku2co1sbmy+UX8T2dfON3p1iRerFLICviKLohR543yFJ0vdEUXwOwO2iKH4EwBMAvlBY/gsAviaK4gkAawB+z4IyUJV4VsbDFzewfTCI63aMW7beTnqCKPfMcgzzida6CDLaciulMfoKt9q5u100NOsBrnamAA2ChaMZTcfut2xdRERkzj0nlqBoGo7YuhX9ajkb/VHNtEoma5Rrnu6af2nRzrW7St3Rba7HfZUoHQfKkiQ9DeBqg+mnAFxrMD0D4G2dbpcakwsHWzLfuMu0trT4ZTi+loDf68HekUhp2rG1ZOn3Rl+L51biWLNgBMCjK3Espbo3kmC3HJ7/pEVr0rraOMWNDTaIqEu63S+86s7+plVNw5loCkoXgsNWz7ntnKOrc88Fw+hZX28wv4JeebJoSWM+cp9Gp6Fnl+OQ1hJ44yUz8NhwwrpTmsdrD2xD2OcFgFKXbOWBcjOKpiGnqHjeotHijrp+1Dn9FBOQ1yCguyMfEhH1tfWnmi/jAA3A44WeorZFH3CoBO1qLc2iaDBzCn41jonEox1su7sYKLvASiqHuXgaV02PdGV7J9b12lxV0xoGymlZQa4qD/fJxVidpSslc3IpUC732MIGzlb3yWzwXX16KYanl5pv67EWuqNzvXwcB5a+aOMG2FyQiNoTyV1ovhC1bSJpd+BoLijWCjGBV00hmF82vXbj2uNaMz2Y4sdAuUpWVnDvqWW8dNc4xsOBrmzz5+f1Tj+6FSgX1fvaaJqG1XQOvzi/ZvmDkZogGXres9knT06lL2mahrWMzY/v1PrDfTLEJSInebT+S11zmlfNwKckIHsH7d+YwcXTo8k4cvFjSPtn4Vc2cHzmfaV548knMF6n0d/Bxc+ZOh52rX0HWst9RrgvHcPS7uH6wXIqB1nT8OxKHBt2B0ZV7OhhwmiVzYKuY2tJ/NyGILlTTub4n9pI4Wfn7OvFsCtvrdEH3/V967aji4i6xackmy+0RexevcPpIiCcn4dPbT76bpFficFr1LWqwTWmH1IJGSjXsZzK4adnV5wuRttM1UDWiVXiFvQP3E9h0Mn1JC7EzfXQkVdVPLtsLj2lgtbssRXrlImoPwRlDp1QVNPrg+PqX2sC8irGkk8azvMpMQTkNZvK5CymXvSrZjFXg0iWIVmlp0zkShcdXUngxHrS5m5++kE/3UoRkat1u5eNnlZ/X+1b/nrdlIvy0ff6DWuUXaRZ6LCcyuJctAvDJm+Fc4pNeRxtd/OjAfbvePd8sGNJd7ZCJyKiWhPxh7ZsnjoD5R7yi/NreNSgl4e8ouJOaR4X4kYN5epjnZ712g1Fne5XOCQvdXV7PrULN3xERGSJbfEHnS6CYxgoVzOIdBYSGdwpzXdtiMlWJQqDipT3OWwm2/V7Jxbx49O13b+4p95x69Cg1d3xd0rziFmQN97ITPSntq6fiMgpGdmGgbd6jAYg2qSDAp8Ss3S01/a4rwqPgbIJ0poegMay9h5ATvTqEM/JOL2RQtaGm4CMrODMRvOaQ00z99XQ4MavEBERudm/zK07XQTH5VUV9zXpoODQ4ucwmXikSyXqHQyUqxhX6ulT7QrSOq3BbdzrV/NSP7EYxa8vblhYIt0jFzfw+GIfDQhiQvt7zswnRURERN3EQLmJ87E00oXUhtV0Dqsp+5LZWwmUZFXFyfVk3b6XhULIlsgp+Nm51aZ9NGcVax9NaRqQsXid1nJjWMqkF6KtbO/y150uAnVZ19qnuPGS1yPYPVwTv57fKP3+3EoCQAJvFmfbWldGVnBsLYnLp4bqDB1tbghIAHh6KY4z0RTORtPwGt3ulK1mNZ2DomnwmegiR1E1S+o2H7m4jpzaynrMLrs1v+0ag2iivhfOzztdBCKqwkC5DfedWcaLZkYxGvKbWl7TNPz8/Bo2MnkomobJcADTA0F4PZXBz7lYGhG/FzMDoYbr+5e5NSwk9eGON0zmTf/49DKmB0J44cxIw5DrruMLptbXTGtBcv8QOumvU9s63cMREVEX8fTfNqZetCGalfGMwehrmqZBKQSImqZBVjWomoaMrJZqdQHgoYvrFQFpMbZ6cjFmqtFBMUiu3b7+MyMryFc1zkvLKs50ow9maosdw5cTEREB6J2HsS68FrJG2ULPrsRxbC2JNxyaxlwsg8cXo/AKQt1BKJZTWQwFrP8I7jlZv0/cY2sJ5LdobW8l7gMiIiJqjIGyhc5G9QE/8qqGC4kMgMYjtf3i/BrCvu5W6j+zHDec7vRNHDOUiYjIFkw7oA4wUG5TecCmahqeWIxu9kVcf+yIGmlZhYdf4r7R9kepaZs5OEREROQKDJQtsJzKlWqTgdZrPd0QHsVyMu5v0hk52ed0NAWfX7Ot0cCvLqxhQNNgrvkpERERAQyUO/a9E4sWDG0twIqkgk7XsN5keEtbFQuvafCpScjewcbLdUDQ8vCojfvD9imJ+mWwwVw8A8Wj4VDdJTq7nZpPZHGwozUQERHZy43plez1okZrAUm9ILmVp+jVecx3SvOYi+k11PGcjPlEBndKvd+/ZjInN11mNP0bHFr8DEI5a7qpM7J35Z9wyeKn684fTh/FocXPIJyba3nd7WdPaBBsTxR3w7MLIiIiY10bgKUFDJTbpGr66Hh2ObWhd+X249PL+NWF/hin/t7Ty02XiWTPAwAC8ppt5Qjl6/cKAgCR3IXCckxFISIi2soYKLdpNZ3D3ccX68zt/I4onpNxcj3Z8Xp6j1D4vxvuKlsrw4m1JFZsHOKciIj6TNe6nHLDNbU3MUe5ihUPp80PRF1fVlHx1FLtoCbNt9x9U7FfwK/EcXHsdY5sv1OClocmbDZza3e46KcNBqEhIiKi3sUaZTtogBP5oE7dL04mHsZI+rmO1uFkP8qH5z9ZJye6e3tUr0HnHT8RkeWcHijAFdhGpV0MlG0grSWwVGeYaTslcgqeWIh2fbudqjyFOfNlDuf1QDmUW4C3SY8YvardmnIiol42G/2x00VwgV65WXBfOZl6YYMzZX0qd9vpaMqxbVur9suimfwCHVr4FBRPEKe2vafl7e1b+ceySe77whIREVH3MFCmvuNTU/Cpnd8wdLVBodZsOMfOa4Pd0UCSiIiodzD1ohqfTjtKs3D/H7n4MQylj5ndsnUbbpsbykBERERFDJTJpawJGkfSz1qyHiIiItp6mHpBjjuxnkRGVpoul1M0JPPNl6vUScBt7rXT0fsQkNdxfuKttm+LiIiIuoeBchVmXjhjLp4p/Fb/EzgfS+N8zKaGkprWduO98eQTFheGiIhoC3JhI3qmXpArWdXwbChzCpfM/13T5WZi9+PI/P+smtrdLywb2xEREbkLA2VyP03BeOLXgNZq2oXOq7XXp7WbAtdOGzluiz0Av8KRA4mIiFrBQJlcbzz5OKZjP8N48vHStIHMKRy5+DH45Q3nCmYhu4PyicSjtq6fiIioHzFQJtcQNHnzj7K40aPlCz9zpeWKQ2aH8/MAgJHUM/AqKQiFZeutfyz5pHUF1rSG2yMiImrMPU8uyRgb85E7aCoOz/9tnZlC/eU0DX55Hds3fth0E5PxhzCZeKiTUlYYTT1t6dCoFTcKREREFopkzzpdhJ7EGmVyieZ31YKmGS7nMZm77NUyzRdqwVDmuIVr07B/+asWro+IiEgnQOuRFDz31bAzUCbX0xp0GSdAazjf7HqIiIiIqjH1gnpIB3eamoZWe8keSz4Fj5rF8vDLS9OC+RX4lQ14NBl+Jdp+eYiIiMj1GChT2/zyOqbi1uX81lcMcI0CZbPBc+uBsl+JYTLxSEWgvH/5yyY21U5A777HTURERFsdA+UqfDhv3vaNHyKSu2D/hhp+KO4LMIczz9uwVh6ZRETUCfdfR9w0fkERc5TJFEHNYTzxCKCpAICx5JPwqUnbt+tR0xAK2+zkC+RVMxDQ3oAlrfLLTMkgIiJzpqP3O10EaoA1ymTKtvgvMZ58DLJ3CGn/dsxEf2Lp+quD4NHU0wjlFzGWeqpsqlaznADN1E3yJYufsqCURERE1hGgYTz5mNPFoAYYKJMpnsIw0PrgH6rt2wvnFxDOLzRdzi/HEIbX9vK0po3HWw0qy49c/Bg0PvwhIqI+58beqToOlEVR3AXgqwCmoV/uPydJ0idFURwH8A0AewGcAfB2SZLWRVEUAHwSwOsApAD8oSRJjxut2xHu+4yoASsHEHEzoQs3J0RERFTJimoqGcB/kCTpUgDXAXifKIqXAvgLAPdJknQIwH2FvwHgtQAOFf69F8CnLSgD2U6o8/vW4FHTlqebEBERkbt1HChLkjRfrBGWJCkO4CiAHQBuA/CVwmJfAfDGwu+3AfiqJEmaJEkPARgVRXG203KQfQYyp+EtNtxrkCIwkDkNr9JCAz9NxXDquTa7U+uuqfhDGEs+adv63djSl4iIqJvcWA1naY6yKIp7AVwN4GEA05IkzRdmLUBPzQD0IPp82cvmCtPmQa60e+1bppfL+sZxatu7TS0/lnoaM9GfwKvlsBG5zGRpuh9QHrn4MdPLhnMXsC3+CxtLQ0RE1CpWxrTLshZCoigOAvgWgH8nSVKsfJ4kSRp65FMSXHk/4zb191FQXjO9Fq+aKvw0WQvdA0fQSPqo00UgIiLqSW68zFsSKIui6IceJH9dkqQ7C5MXiykVhZ9LhekXAOwqe/nOwjRyo5q0CDcexv2A+5WIiMhtOg6UC71YfAHAUUmSPl42624A7yr8/i4Ad5VNf6coioIoitcBiJalaDhuJZVzugiW8KgZHLn4MT0H2GKaYFWte//V3ruxaxsiIiKNl6e2WJGj/BIAfwDgN6IoPlmY9iEAHwVwhyiK7wFwFsDbC/Pugd413Ano3cP9kQVlsIy0lnC6CJYIKProcBPJxxCLXOpsWeQ1qIIPsne4NC2cnUNA3gAACJpmvkGf6xv+8UxERETULzoOlCVJehD1o4MbDZbXALyv0+2SWdYGlu30znBg6YsAgKPb/7w0be/q7WVLuD34bQUDZSIiova47xrK4b761GYKQG0QOpg5jn3LXzNZO1u5zHD6OYwnGo8Pc2Dp8xBU4xSWgewZbIv9zMR2e1P7qRf9dLNARETUHziE9Ra0Y/0eeLQ8BC0PTQgYLuNVU9DggVfNVkyP5C4ikrvYcP0BeQOh/BLSwZ0183avfrPtcvdEX8PuuxkmIiKiNjFQ7lt6xCYY1hoX5kEzDD2HU89hx8Y99hWtRg8EwERERGQrAarTRajB1Iu+VT/1oll6wEDunA3lqU+AZrq22P21yu1VKU8mHra4HERERNQpBsp9ylyurH1Bp/sDWncZyHb35oSIiIiaY+pF3zMIWAXjyZULUKtC+cXSaINERERu4VMSGFLiThejJzFQ7lelWLdRRGw8z72DZri7lnrf8tecLgIREVENPuVtH1Mv+tZmg71684LyGvyFQT+M5neX2S8xv+xERET9KOzzOl2EGqxR3sL2rvxT6feFkRuxPnC1pesfTzyK6dgDlq6TiIiI+pPgwgfarFHuc345irFk5QAhRqkVo6lnNv+w5EjVMJp62vSyZownH4egua/rGCIiIupPDJT7nAANM9GfVo2UZxQI68GqoOYgaIplW7faWOopy9dJREREZISpF32quta43uAi5a8AgMML/8uS7QuaAgFWBdzl681bvk4iIiJyngszL1ijvFWIC3+HnWt3Fv6qPRSNR/Br3+61byFg2FCwnn4ZcISIiIjakQ3udLoINVij3IeG0sfgU5O10zOnHCjNpmB+yXgGY18iIqItTxPY6wV1wc71u+vOC2fnYByZ2h+t7l/+qu3bICIiol7lvuQLBspbzN7V2+vMcbZaN5ybt3Q5IiIiok4xR5kA6IOPHFz8rGPb313Kn24skpuzuSREREREOgbKVOLnOPBERETkEKNxHpzGQNkFItnzmN241+liEBEREVEZBsousGf1GxhN/QawuIs2IiIiImofA+Vqmoax5BPwKin45ajTpdkS2DcyERERuRF7vagymD2Fmeh9mIneBwA4uv3Pu7h1FYD7+hAkIiIi2opYo1zF48AQycXk9WY1q9tiD2DPSr3u3YiIiIjISgyUTfApcWyLPWBjDnGxlWfj9U8kHjXuHk1TsX39HgTyq9YXjYiIiKgb3NfpBQNlM7Zv/BATiUcRzl2wZwNC4choMxAPycsYST+HHRv3WFio7vFoOaeLQERERE5zYZMlBspN+JRYKZDzqWl41LTl2zCbelH5Ig1+eb1mTb1oNPUbp4tAREREVIOBchOHFj9XGjZ55/pdEBf+3satqaaXHE8+hoNLX0A4dxHQiq/rzUCZiIiIyI3Y60UVM6PCHLn4MVwYez1i4SOm1iloMg7P/y2Whl6KaOQyyN6h6iUKy6mApgBC454vjlz8WOn3vSv/x1QZiIiIiNzNfRV+DJTbNJp6piZQHswcx3T0AZzc9m6E84vYufZtxMMigvllAMC2+IPYFn8Q6cAsBE3G6al3Vbz+ksVPI+cbxclt/7qtMgkcsISIiIjIMgyU21YblM5E74NfScCnpjGReAg+NY2x5JM1yxVTOXas3Y1o5AjKm3kG5A1Ly0RERERE7WGg3K7y2ltNxbbYz+FTksUJMNPHyXDmGIYzx6AKAVuKSERERNQzXPhknI352lTsoWIgcwoTiV9jIvloWa8V5gLleoZTz8GjZjcnaCpGU0+beKX7DjAiIiKiXsUa5bbpQenutTtr5giaaqpRYFF1P8I7Nu5BNHwEF8dej3B2DiOZ5w1TOOqViYiIiIg6x0C5TQF5A8Ppo3XmdlajDACh/DLCuYvYu8ohq4mIiGgrcF+FH1Mv2uRTk9ix/n3DeQK0zdH22hSUV1ru+q2lAUuIiKhjw0G/00UgIhsxULZBODcPnxLv+nY9ah4DmdNd3y4R0Vbl67BShIg2ubG6j6kXNti+8QNHtutTk9i99i1Htk1EtBUxTiaykvtCZdYoExEREZELMFAmIiIiIuoJDJSJiIiIyHECBxwhIiLqH0xRJrKO+8JkBso1QvlFp4tARERERC7AQLnKZOIRp4tAREREtAW5r06ZgTIREVGbssOXO10EIrIRA2UiIqI2qb5hp4tARDayZMARURS/COAWAEuSJF1emDYO4BsA9gI4A+DtkiSti6IoAPgkgNcBSAH4Q0mSHreiHERERN3ExnxEFurjXi++DOA1VdP+AsB9kiQdAnBf4W8AeC2AQ4V/7wXwaYvKQERE1GUMlYn6mSWBsiRJPwewVjX5NgBfKfz+FQBvLJv+VUmSNEmSHgIwKorirBXlICIi6i4GykT9zM4c5WlJkuYLvy8AmC78vgPA+bLl5grTiIiIeovAQJmon3WlMZ8kSRrc2OcHERFRBwTWKBP1NTsD5cViSkXh51Jh+gUAu8qW21mYRkRE1FMYJhP1NzsD5bsBvKvw+7sA3FU2/Z2iKAqiKF4HIFqWokFERNQzNKZeEFnHhb1eWNU93D8BeCWASVEU5wD8VwAfBXCHKIrvAXAWwNsLi98DvWu4E9C7h/sjK8pARETUbQIDZSIL9WmgLEnSv6oz60aDZTUA77Niu0RERM5ioExkHfcFyhyZj4iIqG0MlIn6GQNlIiKidjH1gshCrFEmIiLqG+wejqi/MVAmIiJqF2uUiSyjubDXCwbKREREbWKvF0T9jYEyERFR2xgoE1lFYI4yERFRP2GgTGQVjYEyERFR/2CYTNTfGCgTERG1iznKRJYR3FehzEC5ms/Dkx4REZnDxnxEVnJfpMxAmYiIqE0aky+ILMMcZSKiHidAQMjndboY5BIccISovzFQJqK+cWRiCOOhQNPlwj5v22lWe0fC2DcSaeu1jfg8HgbgvYhxMpFlBA44QkTkvF3DYcwOhNp6rd9rz2lzKhKwJQAne7FGmcg67guTGSgTUZ/bMxzGgN9XMU0o/c+ckaDf0jIVTQ8EWYvc6zy8jBJZRfW0V4FhJ37DiajnbR8MYedQ2HBexO/D9ECwZnor9YDbBzdP3lbWH46HAhjw64FyMRPkwOiAqfQRN9sxGKq5OelXnhaOiE5Sfoj6nSIEsTL9dqeLUYOBMhH1PK9HwFCgMjCbigQhjg8CAIJeD45MDJXmme3Ra3YwhAOjA5aV08hkOIDZgVCp/AGvB9XZHWMhP2ZdHnxORQKlIHA46EfItzUuL4Jg/n3uHYkY3rQREeD1+nD9nh1OF6OGe8+6DlGFIICM08UgohbkFBUoZEeUB8Geqoh4OOBDLCfry5lYr08QEKiTk3xkYghrmRwWk9l2ilxRxtFQdWpHZelmCvnUo0E/nl+NuzKPbzIcxFgoALXQGKdb9aZ7RyLweQRkZBVz8XSXtrrJzPscDfoR3CI3DkTt8gioe751EgPlKqrgBwNlot7lLQTHRk+4tw+FMK1qphtgWRGQbosEoWoaVtI5068ZC/mRU1REs3kLSmB+m2OhAE5tJNteh1cQSvu/WwNxhAs53v6AMxdYj4ka5YDXU0qnqb55a9VEOIDBgA+pvILlVGc3aUTUnPtCd8e5sa6GiBopD3zHw35siwQxVlNLqy/nKzW+ahywjAT9GAx03tBuJOhruTGgVxAq8qLL7RmJ2JLD7BEEBC2szRmq2nc+TyvZvM4Z8Htb+rzM3BD4vZvLDPi9bfe4Aug3XhGfF5Ph3s5jJ6rh0vCLgTIR9bzyoEyAgIlwoKNuuyI+L7YPhpquw2eydjDg9WB6IGhJQ66wz2tLnqvVQWzQ663ICz80NoAdhQaXQwEfjkwMYftgCDuGQpgIB7BjKISIz4upSKD0dyODfh+GA9Y/FB0O+DFTZ/+OBv0YrN5mizXEAoxSbQgAfB4Bs3VuEGkrcGekzNSLGu78oIio0pGJIRxdjet/WPiYf9dwuPQ4v5mhoA87hBAuxJuna42HAohmZciq0mkR2zIVCVryqF4AMBjwIV7I9W7FYMCLsZC/VBtarLkdLlSODgcqA8glTw55VTVc18xgEP6qrtn8Hk/d5c1qdAWYHggiLStIlL13O2rJD0/ojVCjGRnzyc1jq9hDSr/yCAJGg37MJ5j+SO7BGmUiMmU8FMB+m3uAaJeVwcqg31fKs22+XQHDAX/DR/Wd5qRaZTIcMExHaZXP46nbFZ+R8mBWgICZgVBZ+os5OwZD2DW8uc0jE0M1QTIA7BkJY0eTGsnthZ5MZgZC2NdGGkv1UwZPnacERyaGymqfWz8Gqmuej0wMYfewNQPSuCXgLn/iUE/A68HBMXeed8hq7qyoZKBcw50fFJHTBAEIeN0R9NnB5xHaHvxjdnCzK7py4vigawJlAA1vAMw2viueIQ+MDmCviZEE946EsafDEQeDPg8GTXSN5/d4MNwkv3gk6EfA68FYyI+Qz4tITdDY+BpQnT5jpnu4To6A3cNhy3PSywPukM9buukY8PtKPazYzehGx2g/CXWWJeoWHn3VXDjOOFE/Gwv5DYPMah5Bzz22SsjnQdC72cBsz3Ck7SGkBQg1AXHQ66mZ5nTI3CgYNp8+rZ8jA16Pqb6SfR4PIl0effCS8cGWar3NEgrdV+0biZSORbuDuIE6A+ZYZd9IBNsixR45YMlTBzPMdgPGKzI5jTnKRGTKRiaPqYj1Le2NLoQRvxcRn7eiSzW/R8C2SBCrLXSz1ohHELB/dACyqiKRV0xfuM1WEDvZH+jhiUGcj2WQzFfmEReL7vd4MOD3YmYwCE0D1jP5rgVI3eAVhBYC/1rNPuOQz4ugz4OpSACqxx1pDI2MBv0I+72mc393DIXgFQQomobVdB4Z2dq8+kGbg3/qUS6tqGSNchWna3yI3Eqx6ySm1QYmQa8HUxHzF9JOvrc+jwejLXbfVs+u4XCpptHJc75Qlkk74PeVguDifh4MeDFb6NWjWFNvppeQAb8POwY3a2qLr2nls+oWo3fTaRpM+T4Siv81WqVLrvsRvxcjQfP1YsMBPwb8PgwH/Og022rfSKQm5WfXcNiVA0sQGWGNMhGZEvF5O+pyrR6jWMJomlXBrJ0G/T54BAGr6VxF37lOGgv5a4b3btfu4dp0BjMNsjpXGaC2+ppWtBrb2vGdsMJUJIhETka6w9rgkaAfybzxOmYGQhjwe6FBw0o6j1jZADkCBIwEfQj5vNg3GjE1cqJL7iuIKjBQrqLxq0pkaKiFGqlWGH7jChM9hZHeeqnVe8Tnxc6hsO09C+wZjkDRtPrBh0H8VhxQJOitX7bdw2FkZBVLLhj1rfot7BoKI+CyoaDNNOZzwmQ4gKyswNSg3g1i/ZGgfqMlrSVq5vk9m0O8e4XKUSSLXdzpy3kcGzmReok74y8GykTU1CXjgx3lfDbUIEfhkvHeCZDLWVWD20ixt4aDYwM4G03X9B8c9HqQQGVPFwN+H/aPRho+9h7w++D3VAbK+0Yjruh5oGawjwasrNEfCfoxHq73REPAvtEIVlI5xHMypiLBrnz+repWzfdgwNdS483iCJQZWe14IJaKvtWJLOK+b7PDBKguvachco7ZfoUBvRY47PNgMOCDrGqlxncRvxepOo9w6zF7cXdRD2xdVy+AnYoE9EaRVTXbjWqTi4p916ZlBQuJLAKe2h483M7v8eDQ2ACOryc7XtdI0IdQvf0mCAh5vaXviLdsKHCnryXbBoIQBMGWwH006MdA2YiYU5EgVA2YGQi2dKwU+yAfaSPNfSToR9DrccXTD7KC098YY85XERBR39gxpA/msHtYH8hhW1kjrz1lfbfODAT7qpcFpxn3PyuY6nu4Hr/Hg+GAv/A0obeC5KKagU3auA4fmRjCQEv7sfsX+wOjA6XgvJzf48H2wZDln59HEEqNQYu8gmDLthrtzgG/t9R41i3HaNDrMdXdJfUO1ijXcOcdDZFTQi20Tq8eghgAtkWCNfm6Y6EAotk81qHnNbq1QVS5oNeDrNLZ8Mh2Gy0MptE3uhdzdbDJYs8fAWhAw1Ea7RLwejAZCZgaSr0f7RmOuKbxLCOIDri0ezgGytVc+kEROeGS8UFTgcP+BjmsVg4S4qTdw2FkFLWjoN62S3lhxcXR5vqP/eflSGGUvpbzZAs1mb5C7a3hIi2WpZ1jbDjgx/CEH8fWEvZ15VjQzctkcVN+jwd5VcXhiUFcjGcQy232EV47uqKDGEL0HQbKRFSX2dxkj1A7Ml0n3NhFl8/jwaALGrSRPQRBKPUH3VrvR+6oySyyo4eY6q+23VkOh8YGkFFUnI9t9tlxYExP3dL7rtYL4MaY1I1los4wUK7Bw5y2jpGgH9FsvvmCDXgLXbi1i9846m3OBcrbB0M1QavdubqRsrxgu/g8Hvirqq2r86GBVoZd746hgM+2feP3eDAS9CEtq8jKCuS+fPrtzvfEQJloC9s+GOooUB70+7DLYBAKM1x2jSNqT8N+lAsXfpsOdifyocsb5TplKhJAwGtPbx6d2DmknwtVG4LYsG9ztNKNbN70cOTUOXcdZW7gzhsaItuMhwKQNQ0RnxexbB4pkyN5TUWCGLVpEBIiJ7WUyuPSAUf6mUcQMBZyb9sHl3TA0YPcGYDxG14utwEB7m7V3kvWI1c6XQQyYXogiB2DIYyF/Ai2MOrZZDhQ2/0WNWbTBbTfr8vWXT7tuBDzO2CPfj+qW1QWfXPPdBe/4eVS550uQV9ZGH2100UgN+PZnproiUNEcFGPC1SyfzTiutQMasKledcMlMvxhEdbXC/0Z1zOiRxNogq8briSz+OBz22t/SzSn+8KYOpFLxC6f/epeIz73SSyw/RAsCeCYbOny9nBIA5PcBSsvmfR9XPbQBvjJDfjqR8ou/OyX5+bytvpWcr9Z7kWlde29t2bczcGyuUcqBlQBdaIUX0T4UBHXa9VC/u8NaPk9TKh8F+v6J2S9p8DowMYt6UBWPPLaK9/7r30HStnR7l3DIUdSelw003MVsNAuZzHiXym3jwBUXdsiwStH2mtwSEXaqExn61cmqtGVKNBrxe9GmC6idvOBMMBHyJ9Ofql8zSXnvddclV0CQdqlDWeSMnA9sEQDrUxwta+kUjTI6rR/JGgH/tHrR/Zi7rDnZeZflf/GzU7GMR4KOCuIZYNufk6ZN1RvX80gm2RztNvnPieVT4NcfPnVSnnHa2ZNjd2GzL+bd0vTJscaxIqiuJrAHwSgBfA5yVJ+qhTZdnkwH2DCztcXB66HlPxXzldDFstjNyASPY8hjPHS9MUTxBeNetgqTZ5BKGtrtdCPi8ECKaG4K2X0hH0lm03MAoM7AVy68D0K4BcFFj9x835ke1A6iIwsEevWcssAmNXA7GjwPBhQE4B0WeA0SuBxEkA8cJ6R5APzUJNPIXVqVuxc9wHrH6jtNq8fwLYdo2+TsELJM8B41cDqTksyHkImowjh64D/INA7Hl9W0oW8Ib0tgYbTwPDIpCP69OK07U8kF4AIjsACMDKvwCD+4HYMX2apgLQgMjOzfel5gBNAfzDgJoFvBFAzQP5DcA3AMQkfbn0RX05TwhYewyYegmQWwMiu/Rtpc5DTt0L5NewMngtcr5xHDl8DeAd0HvcGdgNqDIgJwFfBEicxBkhi3DuAo5cerP+xEtJ6/sjdRHIzBfe62+AjRMAAM03AETGgaFL9M9u/kfAzKv1cvsG9Pew9HNg/EVAdgXwhoHgpL5PRo7on3PyjP4eNp4EhkRg/Qlg5HL9s9BkYPQF+mv9o4CSAuIngJHL9HNZYAKQ44Dg17cXPwaEZ4HUBX07vgiQOKWXL7Ogb1/wApklYHCfvlxom75/lRQuLMjwrf8a2b2vQMiXA9afBEYu1V8TmgGyq0BgRF9PdkV/z8lzgCegl/fC90vHnDx9AwKRKX1fRHbpx2NkF9KxdVyYX8REOIDdufuAvb8PCF6cEdagwYsjgX8BJl+sl238an3fxJ4HBvfqn71vABi7Ui/P0v3AtlcB+SgwfAn8gTFM56JAaBrIx/Tj0BMAEidxQV3CQPYsRlPPAACWh16Cqfgv9S/AgXfrx1luDQiM6fvHP6hPU1L6+rKrwOIDgMcPyAlg6KB+3EV26cfsyOX6axZ+Cmx7mX7srH5NX//21wKrd+i/734bcivHgPiDSEcOAodu0dftDRW+K9uB9aeB1V9sfu8nrtWP98nrACWjH7PBSWDll8DIC/TzgH9YL2fiFDB8CZA4A6z+SH/95Iv1dShZIC7p34/kWf07o2SB2HNA9ASAJFRPCNh5q77/81EgPa+fk6LPFZZP6+UdOqB/L1Z/Xfec5/d4EPJVnhuDXg8EQUDGoP94ryBAKdRyChBKjQMbXrbHr4agZIDVRxos1JojE0OWrasdhycGIa0m2rpBODn9r7Fr9VsYzJ4uTYuHD2E09XTNsm690XckUBZF0Qvg7wG8GsAcgF+Loni3JEnPOVGeEkHo+JNaGLkRqcAuqIIXB5e+0PwFNh8ZS0MvRUDZgF+JYyB7tu5yWd8EgvIqAGBl6CWWBcoXRl8Hj6YHNungTgTkdexY/54l6y46OfVHkL0RqJ4wjlz8WGl6IrgP5yfeUjGtaH3ghcj4t1UEysdm/gzD6aPYsf59rA28CPHQQewpC96qHd3+54brLkr7ZyB7BxHOzWNx+BXwK3Fsi+sXG1UIYHnoegTkDQAa/EoCg9lTAAANHqR3/T6GhoYBJYPMsZ8A+eOIhg8j458GIEDxhDG78UMsjL4aPiWBrG8CsncIR3YFcMorIJQ9B03wQhX8iOQuYCT1DDyajOyOt2I5E8Ha2hkc2nU5MBzWL76arAe1vgEgfhxz6hoGsueAw+80eGeFQPmKD9d975gt6xpw1xtLv+aX/hJ+JQYc/vfIxNOQtFdgdiAITI4D2NzXqaErgJkbatc7cinWY/P67+Fp/ef4i/SfvrKa8Ilr9J/+6gtMQL+gFk2/Sv85sKd2W4Gx2mneQm2Uxwf4CiMSTvyW/jNUVkMyelnhl7JthacRXVxHKP1DrA+8ELJ3cHMbxTJ5/JvrHX0B0ovzSAd2bE7zFNo0DB/S/wHA1G8jHv8/CEQfQ3bfexAZmtrc5thVte9h3x/UThvcV3jPo5u/T12v/zT6HCI7N38fubRyXmBk8/fxFxbe++zmtOJ+Co5vThvYXZg2UbGq3Noylkd/B0cik0DIr9/8lCtfR/GzLv/chkWsx7+GseSTUEavAiKjZeXQ95OmTSIWnUAoEgAOv6w0Ox0ojEAnvl//Wfycgc1jr3jc7HqT/rO4z8oVy+MrG8Fy9HLEwvOIhY9gNPUMct5RrAxdD78Sw2jqN5v7IzRZUdYKkR3AvndUTtv28trlDu4v++NriIVFYPLFSAQf1c85o5chLw8B5x9EavAK/bMqfl5DB/Wfg/txLP4CABqOXHqwdhul93VZ/WnDIiD9CFnfmB6ol97HdsPXyOkYsPKXiEUu1b/jxe95E6kLFxDJXYR2+X9F7NxjwJnb4Rm/Csr4dRBmtmPA48XE6jk8Gw8gnziH6/ddgqAX+NnxY8j4JzGYPY2sbwo+NYGbDh3C0ZgHFxYl7Nt+BAcG9RvmjWge8+cfRdY3jsHMGaQDs1A8IRy57Cr9Jk4QcCKhjyMQlFeQ841hOH0UycAeeLUMpiNBpFefxkj6aEXZVcGHxeEbkAzugV/ZAOCB4gnjyO5Q4XspAFCRTOYwd/LX8GgypuK/RN47CMCDSG4OsdAlGMocx+rgi+HRchhPPl6zj1QhgIx/GyK5OcieCHxqCgCQ8W9DKL+EaPgyhHMXoHjDyHlHIMwcwZK8hqnoz5Dxb4OgKQjKq0gE9yGUX0A8LMKnJJAK7MRwRkI4N1/aDgAsjrwKWswDQdMQKMQZ6wNXYDB7GvHQQXjVNBLBfUgG9+CIqU+5u5yqUb4WwAlJkk4BgCiKtwO4DYCzgbJ/GACQ9w7rF/M2pAK7kPXrJ7eMfxqh/CJObvsjDGZOYzr2QMWysmcAWoOeNhZGbgA0DTOx+0vT5sbegKx/Eh41h5nofQjn5ytec2by95HzjuCSxU8j65vA6tB1+luT13Fw6QtQBR+yvklkAjPwqDl4tCzWB65GMrgXBxc/W+qFo1irLHvCyPinoXgiyPlGEMovwa/EEA0fQSi/gvWBq+BTkvCpCSieMGaiP8FK4QsKQD/Jlcn4pzGR+DUUIQCfmkQ0fBlkbwQCNGR9ExjKHEciuA/h3AK8WloP4POriEYuR0Beg09NIeObLHzBDiEoLyPn37y4np14e6FWWEMyuAsAcH78NqhCEIPZ09iIvAA+Ra9hSgd24tj0n8CrZRDJXdDLGzoMYVRFNHwYELxYGLkROd8YBjOnEAtdgnB+oeJzPDP5+wjml6EJXgTkdUwmHsbC8KuwPnCVYSpP3jcMDR7Ew1UXfE3D4YW/xeLwK7A+8EJcNzAGRPTPYn1cgD+TwMLIjVA9mxfbaMToojSL3NIC0r7NfRILH0E8uB87Nu6BOngAsiojGhkE/CNAMRhAQK/tA4CxKxBfmq8tY9l7VoRgWye0U1PvhEfLFV5bWS0jzbwPGrzwqUlMD8+0sXb3SwxejTOeww2/9+1YHbsR6cALMO0bab5wD+qkPmFh+FVYHXgRdvqMe0cpHoVO1WZJM++HVjhXzI/cjPmRm20LFp6f/XfQoG/r/PhtEDQFRwAowSkcnf0P2BGpPxy94u186OrnZz8ADR5cZWZh3wCOT/9f8AVa69Xm3MTb4FUzuEQQkB24BCvDr8DM9pfi0qnNm6pt2y7B4JiCM9EJDA7p6w9P+JFK57HuK7vRGpjFobAK2TuEvZNDQKFGORLOYCNyBQD9OlJS1s4pX/guFn+uDL2kNO/mQ7P4hX83FlZnkAlMIyCvI+cbR947DNk7hP2jEQwGduHppUIcMlx2owkvZgZ9WN3xQhxbSxpfB4oKteHJ4C4Mp49jfuQm/VgrHG+CJkODBwLUxuekbbNY31jAykDZzaKmAhBqqtfjoQPYtXYnzk78HhSvXnmR841jbvxNFcslQodwdPuf19+mizgVKO8AUD66xxyAFztUlk2+AZyY+VNkhRAgCPAqSaieAPxKHHnvMAANAXkDee8QfGqycNekIeOfRs47ioASKwXJAHBm4nfh1bKQvUNYGxhHOjCLtH8GgqbApyaheoLwqhmMJp/G8vBL9SIocSieCAayZxEPXwJADy6z/il4tBxk72YN2dmJt8Gr6UGhIoTg1XJ6LRX0mtxUcPMLnPeNYX7kZsRDB+ue8E5M/3Hp95Whl1R8sc2KhQ83Xeb0lEGNVkE6sAMAkArW1vCV79t04b1lApUBVSq4u+Z1idChink53+YJU/EOQMEAcsXAUhAqTjzrA1cDAJLBvaXtpgI7oHqChfJuRzpQqBHRNKSCu5AM7Kn7bC4WrnMJFAQ8P/vvN/8uu2rL/jFcmHxH7WvqGA/7sZzKVUxLhvbj2Mz7sd0TACBXb6IlpffbBtUTggrjLhGLNwF5TwCaC1OSrKBBaClIHvB7kcybGFJc8FZ8P6iM4EXeZ/B0oDi7cKg51Y5ILe8i1ObjvuLYE7ylAB1aYds2f+20Fnt5kr2D8LU4RLgm+CF79e0IgoC1wd/CjKd2uxG/F5dObl5PX7prAr+6sIb5RGX6nc/jwQu2DVdMmxkI4RW7JvCz86stla2inB4/1gf1WvLyYPvluyYwEfZDEATMDAQN+4IWBAGXTw3jxHoSaqPjVhCwOKI/ESpeByvKUDgetHbSTg0+lxv3TOIXcwJObXtP6+tzMQ5bU0X2RkpnzPK7oaKsX38ElvOENoOr4jxP5YVK8wQgo5CALwilIFATvMh79OmKJ4KlkVeWXlM8oReDZGAzKFRR2QihYv1Axe/VNbkAsDFwheF7ptZkArPGMwShFFB3qvzcZ+baddPeSfgLucXXbR9DPCfjgXPGJ/H+DEF7y4u3j2Eq0ryrshv3TkJpeCUs6NMPtRtvq9iDwYTB5zEW6l73nYN+LxJmbopsUDzC+u8w0t+R2ZugPcORmkC5nurjJWDR4CaTZesddNHIgmbe3UjID7/Hg5zizHFsF6d6vbgAYFfZ3zsL04gIQKv1vcNBP8KFC77f68F42DgIc1NFbcOiuLVVh0UCXgEBb/PTr8/jQdBEV1Qu+lhtYt8BMRDw4Xf2TeHSqoFrXr13Ci/dNV7nVda7eb9zvQBopQZr7lEqS5sfvVCbFdDU9qEQ3izWqQhp4LUHtuE1B3qnF4e2mNyXZha7Yc8khgK157WgiXOiE5y6Xfk1gEOiKO6DHiD/HoDfd6gsRLbbNRTCb20fw53SfPOF0bgG5JLxARxbS1pUMueMhPTTz86h2rzIfo2Th4M+rKRzrr0guE/noZuZmtoBg5q7oaB7avPsVvq+uehOerNMFq7LJgGPB14TNcr7RiI9e1xZeWSMhvzwCh4Am9/L1x+YRsDrnuOvnCNna0mSZADvB3AvgKMA7pAk6VknykLkRo1O7JdPDZt6JLwtEsCgwV27Wwz4fXizOItdw/UbEPWbK7YN4xW7JzActOeRfr/dYDidP9xtl04OwqIn+C0ppgHtG+m8wZ7VOtkd3dqVZu8vdgyFcLCN/vF7Sb198eLtVe0EqpYL+vRu+tzIsVsbSZLuAXCPU9uvb4uckamr1BaXb3YUlveB/NKdxo+HX7prArFsHj85s1I2dfN1vXqkv2rPRM+OeOYRBEzUSYvpRG/ujeaunR3F8fVkV3OFnXR4YgiHHegzN1K4aXWXzs5Q5d+JVtd0874p5BTzZ22z37/yhnlWxITuvIE0fmM7hkImlnInPv8j6gLV4Iw26Pfit2ZHjV9QtnzxhHr51BBeVsiZHC48vpsI+7FtoP5IU8NBP66t2sa2Qu3RSINHgGGHh7JuNGDKWCiA0S0SOG11AwEfrpoecW1NU695wdQQXrlbb4TuxHD1+0cjuGJquPmCKG9g2N5nLwjCZjDaYkQ5GPDVbefRrmtnRy1fZzfJZhoVo7cCYLN6M1nGRq68QSPbXDMzgkcXorZvx+g87fUI2DUcxq/nN0ytY8Dvw1Rh+NVizcR0gyC5aOdwGI+UbWP3SATTAyEEG1wob9w7ZThSFbkcT2DUwKHxzQaLN+6ZQrrL3/Grplvo59uSrjiEilXZxcyN3E4bUswEof49wCt3TyDs9+IHJ5cs2ZbV+7CXAmrWKNOWttuFOXlA85NS8cTc7qO3RkEyAAS8HtvyaOt58fZRHOrz/D27lHJ5nS0GteDluyZw1bS52lU7BH0eVz+ZsSJOtjsYu3Z2FBNh5/Zho9p2jyBUpOh1KuKv395lJOgrNVA2u8leekrEGmWiLjAKYFoPcsvSMRqst1ftGAoj4vfh+HoSo10O0om6bTISwGQkgCcXY7bkrfc6v0cPvMw8NXPKzuGwLTXFZoV8nroDEll9bfAZBLaDfm/b3Rr2TpjMQJnIMWZPZEYnlFZPMiGvB5kWGqc4ZSzkxw17JhvmT1MtpXAwOdFjgttNDwSR2EjB79Kd86ZLZnqqdq1bgj4PXrN/W0e51G2mKPeMl+2awGIyiycWa9MHg15P28HotkgAU5Egnl2Jl6YZHaJmd6tbv3tmMfWCqAvGW3zE2WwwilBhEArT/fG65Dy1ZyTc9HHgaMjPwKFFOwstygcaPB7dql6wbbgQcLlz3/BYry/i98LT4v65fHJoszGyi3etFUWL+L3YN1qZPjgU8OHmfVMNUyWaCfu8EKsG4DFqy2d0A1KdDnLt7Chu2DNZu5yLP5tqrLYhstlNeycxZDCggVHPDkGvB1dOD2Om4nFj7Rll70gYfo9Q0+VOM06fm140M4oXzThciD50aGwAB0YHTA16sNV4BKGjoIF6yyUTg7ikEOT1Y4paMwI6H/q6uL9u2DNZOqccmRisaBQOAKrBni0GwB5BD67rpaYUP5trZ0cNh493EwbKRDar2yjO4OztEYxHqqsmCIKjuXHkLoIgwKWDWhGRzSbCAWRkBcm8Ak/5zXKdc4LPI5jq7q28sWcxH7t8dNlGKS2/vWO8Jvd+KOBDPCdXTPN7PQi79GlPEQPlKv2ay2SXiM+LVI92Izbl8F3sJVWPtuzEGIqItprN3oG6f2E3M3S6VV6xewKapuG51QT2jTSvQHnDoRn8ZimG4+tJw/mN0iKu2z6GlKzg6aWY8WvL1lH9hOvGvZOlGKvVlBonMVCmjlyxbRjbh0IVd5m94NaD0xWjJNnhyMRg3Ue+9UbBanQ65z0cEVHrnDh33rRvCqoG3H18wXC+1bnpgiDgssnKUR0bbaHe5g+MRXCkweiQ24dCSDcIlBvxCEKpUC+cGcGxtWRpACw3Y6BcRtUajQdG/cTrEWxvRLN3NNL6IyXDxhFERNQqJ8+dHkGA0CCiqC7bgN+LPSZqg+125bbmg8KYCcCb7fuQz4srtjnXj3grGCiXmU9knS5Cz+nVG4ueCj4taZHSU++YiMgybrxOVdfT/E6b/RG3aywUALCZenHjnkkEHBjWvBdwr5RRmaDcht7cZ93okqmdLfTm3iQicp/SOdiFJ9b2ezm2xo6hEH5n31Tp75GQ3/QT0OJgMPtHjUa27c6w4d3EGuUyrHPrf2GfB3kTrX3dqJNS89gmoi2nNLS7+8753WnLVrmRK7YNl/pcB4CBgA+/vWMMS6lcS2v1egS86RLjfj778VrDGuUyPdQI00X0nbZ/NNJ0kIxODAV8LfWFeumkcY8SB8cG8IZDjTvyva3J/G6z5LDksU1EW0yx1taND4udeKrp8wg1A+/MDIbayhUWhMbtfNy4z9vFQLkCo4lWxbJ5AMBV0yPYMdja4BetmIoEcP2OMdPLH54Yartvxn4etMGqd9ZsdD0i6i837JnEzWWP6nuBUKpRdmr79c+T/XoG7cdLA1MvyvTjB2y3ik7Lbdx/7WRL2FjBbZteuAl//cFp3mETbTHlg0/0Cif7UW6mX+tj+nE0RF7vynBntK48HcLO770GreX1//aOcVxa06+k289O7j+9BL0e+HvxLoSItpTi2V51tBTGLp0cwo4h+57CGnH71c+teLUr042coX7TtV3WRvw4GPDhcPXod138iK3elCUhNA9xItoi3HK6GzOojQ/5vHjxdvPphL2j2OuF+yt9zGLqRRm3fKl6SncyLyz7yrn+M7ZpwBHXv28iIou5IVS7Yc8kBlpoiG6nblwHhD7MvWCNchlWKNdntGsE6C1mS3/36A6M+LqTPmJGw3OLC/PsiIjczsnz+mjI71iqmpOX5H66WjFQLlM8poYCPhwcG3C0LG7zJnG24m+hMK1rOcqaZlt+8Sv2TJRSNMbD5hus1OtHcpPTYTcR0dY1GQ4AqDcwRv+rrlvpZpd0DJT7VPEg8nuEnhmD3E3s/A4afel2D4drcpCNivCK3ROl389GUzXzwz4vtkWCLZep/KTzwukRU93R7RuNtH7S7tGaeiIiJ4X9XrxZnMVkG+f3brli2zBmB7tTvm5061nqkq+PImXmKJfpxzshJwwHfIjnZNv3486hEAYDPjy/mihNu3n/FILeyoB1olCrAKDpoCjtfrn3jkawlMpiLq6Ur61muaunRxpv32CaFcclQ20iIvc5ODZg2xNsr0fAi2ZGMBbyYzGZ7UpA7unDxnysUS7Tj3dC3VSsYd0xFMKh8da++LcenK7toaLMruFwxd+vPzCNmcFQTQDoFQT4DDqoLJ4g9tWpzTUTSAa9Hoz3YF+i5RgwExFtHXtGIhgO+nFofLA7qRd9GEcxUK7Qf3dCdjH6vnVS8+n3erB3JIygQY3vm8VZzA6GKqK8oM9TuVGTOslz3jkUwsvL0jgA/bHZtkignaIY46FHREQ9qhQH9FGkzEC5zFaobfMKgiUNG4z2lafDO8mI34fXH5yuv0BhvYMVDQjt/dTeLM7ihYV0Ca+ndmsHxwbw0l0TtS9sk9GuK55wOnqnW+HgJiIiRxVrrd04yEu7mKNcph8fGVSL+L24anoEpzZqG7W1pjbyEnq5Rr5BILl7JIysouJAkzyy6sdaVu2F0nrYqI+IiFysH+Mo1iiX8RTvhPrpE65i5+OQzUcutfPeXNW9HAC8ZOe44XpG6+UBG6V7CE0X6ZhHECBODBrmPndDaasdfHYMsYmIyG6lxnx9FEcxUC5T7DpFduADPjwxaHmL1IjfW5Nm0ck7e83+KVy/Qx9y0yjwmijk6k4NBAzm1poeMH6/L9s1jt/ZN2VqHWYDwGYf6VBAf7jSrBGi/Y0hagta3GZnRyVDZSIislfxWhoy0V1qr2DqRZlijaGi2hcozw4GkcoriGblium7h8OI5/yYT2Qt29aAQZpF8Z2FfR6k5dayiCJ+H7ye+o3oJsIB3HZoBl6PgJVUrs1SA36PB/5Au/dwTQLCOrMDXo9hrXdLW7YgFjU68gYD+gmn1ICxrfX2z909ERG504GxCIaDPkxFzFWY9QLWKJcpBsrbh0I18/aPRnDt7GjH29g5FMbLLWz81ari45Df2b8NL9tlnPrQeAX6j3oHjrfL6Qk1zescrDi1a9Pi+CB+e+cYZgZqj0vTCp9brw4zTkRE7icIArYNBPvqWsMa5TIeQcDrD0zD7639gAf9PoxZ1IeuG44fjyC0NUpPsWay2Zeg+PjFbm7Yl5vsKYwgCJ0FyWCvc0RERO1gjXKVoM9TatRXToNmYVBmvCKrwyw7Uq2L62xW1t3DYbxyd/drzpuVy864ut1137xvCjftnQRgf0thV91XEBERuRxrlFtiTZhhtBYr1jxUGDq6Uy/ePoaHL64bzisOAX14sv4oeoBeCzoeDuCyySHk1fZ6VLxuxxjCTRoEuCrwqyqM2Zh3MOCzNS++vCyu2l9EREQux0DZJKsGttBgX7rAq/dN4U5pvmxb7QVfOwxytIu8HqGlRm9ig2Gpm9k+2DzdwE2pFy4qSo1i2fqpE3giIiK7MfXCLMGqIYq1+uuxONJyWzeGu4fDmAgH4BH0ruus4ebw1Dy7A/6dQ2EAgN+hvqCJiIh6EWuUTRJK/+uMXqO8NYOVawq9hljZEXn1nnRyzxa37fcIyKsa/J7W70Pture5dHIQB8YifdW3JRERkd0YKDfw2gPb8OxyHOdiaQDmgrBrZkfx6PxG3fl1A6EWI7y9I2EEvB6cj2WQlpXWtmXCjXsmsZLOIZlXSv34WsXKG4XqVdV7z12pXC+U5fDEIA6MDRg2Cm3yUtsIgsAgmYiIqEUMlBsI+/SR7c7F0pipM4pc7Ws8eNWeSZyLpeDzeHAumqoY2KNRZWqzPGivIEAprOCFM6MAgMunhivyko34PAJkg8ZijeK4kZAfIxZ1h9dNTmablH9+rQTJ5QJMjSAiInINBspNjIcDpcZrmTo1t+U0DRgL+TEWGgEAXDY5hLSslGqm221gt2c4jCunh3H38cWaeVduG8Z4uHYUnGJQfuvBaSTyCn58etlw3aNBH165ZxLfObbQVtmcVB1W1kvrGA/5sZjMNu1FwymCIOCq6WFsi1g7jDkRERG1j4FyF4R93tKof9VxXMArIKc0aOBXoKF+jfOBsYE6r9kcHMQ4W7b3ay8FQcCRiUEMBXyI5WQEvcbv9PDEILYPhTAStK+WvLg3263V3j9q/DkSERGRMxgot8BMABSoE6jVD6IEk2u2j4beCpmr99aRyaGmrxEEwdYguZzbehshIiKi9rB7uFY0CICCXg9evmsco3XyeosN2MpTAyqHee6lUNUZbt9DW7QzEyIior7FQLkFvgYNrTwCMNkgv7S6Rvn1B7bhVXsmK4K/psMvtxiINavZ7LW4rpsVtS/bNY79o5G2XssKZSIiov7AQLkFfq8Hr9m/DWNVtcZ7R8K4fsd4w9fuGdEHfCiONhcsy1u2S0XA1mtRscOmIkFcNT3S0ms2dzFDZSIion7QUY6yKIpvA/BhAEcAXCtJ0qNl8/4jgPcAUAD8W0mS7i1Mfw2ATwLwAvi8JEkf7aQM3Rbxe1Ed3xa7amtkOOhvaehna5gP2HphEJReKSFzlImIiPpDpzXKzwB4M4Cfl08URfFSAL8H4DIArwHwKVEUvaIoegH8PYDXArgUwL8qLEsmtBoolsdr7g8ye18P3GsQERFRCzqqUZYk6SgAiKJYPes2ALdLkpQFcFoUxRMAri3MOyFJ0qnC624vLPtcJ+Xovh6JiAxqNlnZaT/uYyIiov5gV47yDgDny/6eK0yrN33LqmjMVxV/v3TnOF62S899norUDijSTGXAVj+475VUgYjfi22RAK6ZHXW6KIY67UeZiIiI3KVpjbIoij8BMGMw6z9JknSX9UXamozCWJ9HwHg4gNcfmEbQ1/o9TbOArUfqxUs8goCX7ppwuhh1FW906o0OSERERL2laaAsSdJNbaz3AoBdZX/vLExDg+k9w9IAs8HKiuFWO0FyxQqoK+qNnEhERES9ya6R+e4G8H9EUfw4gO0ADgF4BHpYeEgUxX3QA+TfA/D7NpWhpxjFtJ1WTDZ9OeM6W7BCmYiIqD90lKMsiuKbRFGcA3A9gO+LongvAEiS9CyAO6A30vshgPdJkqRIkiQDeD+AewEcBXBHYVkyoHVcJez+iO3q6ZFSH9O9jr1eEBER9ZdOe734NoBv15n31wD+2mD6PQDu6WS7/aRRbGV7jbIL7BuNYB/aGwHPbdiYj4iIqL9wZL422FNzqNUEzR0HXCZXwMDOWp0/CSAiIiI3YKDsuEbdtnUWcDV7ddCrf/zTA8GOtkO6UmM+xslERER9wa7GfNQiPbbSAy2vICDi92Ii3HrfyZXrbByxhXxevGb/NoTa7VWDKgS8QuEn9ycREVE/YKDssFJ9cllMOxry4RW7Jztet5kK6Yjf2/F2SLdrOAxFQ980TiQiItrqGCg7jT0l9A1BELBvtD8aJhIRERFzlF3Jqn54mSpLRERE1D4Gym2Y7DB3uB6rK5fLA26tlAXNKmwiIiIiMxgot+HwxCBu3jdl6To1wIY0jM1IuRg0c1AMIiIiInOYo9wGQRAwGLBm17Uatwa9Huw3mQerGfzeaHvDAR/Gwv4WS0RERETUnxgo95jXH5w2vexQWTBf7JO5UY3yTRbXkver1+zfBi+r5omIiPoeA2WX0AAMFrpq29tBzwmvO7ANeUVDMi9jNLRZOxz06eveNcSuyzrFLvWIiIi2BgbKDiuvlwz6vHizONvR+kI+L0I+YChY+dEGvR7cemgaPtaEEhEREZnCQHkL8XvYdpOIiIjILEZODtsxFALAYY+JiIiI3IY1yg67dHIIh8YHGSgTERERuQwDZYcJgoCAl3nDRERERG7DakwiIiIiIgMMlImIiIiIDDD1ogOvPzCNyvHviIiIiKhfMFDuQNDHCnkiIiKifsVIj4iIiIjIAANlIiIiIiIDDJSJiIiIiAwwUCYiIiIiMsBAmYiIiIjIAANlIiIiIiIDDJSJiIiIiAwwUCYiIiIiMsBAmYiIiIjIAANlIiIiIiIDDJSJiIiIiAwwUCYiIiIiMsBAmYiIiIjIAANlIiIiIiIDDJSJiIiIiAwwUCYiIiIiMuBzugB1eAFgYWHB6XIQERERUR8rize91fPcGijPAsA73vEOp8tBRERERFvDLICT5RPcGij/GsDLAMwDUBwuCxERERH1Ly/0IPnX1TMETdO6XxwiIiIiIpdjYz4iIiIiIgMMlImIiIiIDLg1R9kRoii+BsAnoeeqfF6SpI86XCRygCiKuwB8FcA0AA3A5yRJ+qQoiuMAvgFgL4AzAN4uSdK6KIoC9OPmdQBSAP5QkqTHC+t6F4D/XFj1RyRJ+ko33wt1lyiKXgCPArggSdItoijuA3A7gAkAjwH4A0mScqIoBqEfYy8CsArgdyVJOlNYx38E8B7o7TP+rSRJ93b/nVA3iKI4CuDzAC6Hfq55NwAJPM9QHaIo/nsA/xr68fIbAH8EPbeW5xmbsEa5oHCB+3sArwVwKYB/JYripc6WihwiA/gPkiRdCuA6AO8rHAt/AeA+SZIOAbiv8DegHzOHCv/eC+DTAFAIrP8rgBcDuBbAfxVFcaybb4S67gMAjpb9/TcAPiFJ0kEA69AvTCj8XC9M/0RhORSOs98DcBmA1wD4VOHcRP3pkwB+KEnSYQBXQj92eJ4hQ6Io7gDwbwFcI0nS5dAr9X4PPM/YioHypmsBnJAk6ZQkSTnod2e3OVwmcoAkSfPFmhpJkuLQL147oB8PxZqarwB4Y+H32wB8VZIkTZKkhwCMiqI4C+B3APxYkqQ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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "logistic = skl_lm.LogisticRegression(C=1e10)\n", - "logistic.fit(X_train, y_train)\n", - "print_classification_statistics(logistic, X_test, y_test, labels=[\"No\", \"Yes\"])" + "fig, ax = plt.subplots(ncols=1, figsize=(12, 8))\n", + "ax.plot(bikeshare_ols.predict(), color=\"lightblue\", label=\"OLS\")\n", + "ax.plot(bikeshare_poisson.predict(), color=\"orange\", label=\"Poisson\", alpha=0.5)\n", + "ax.legend();" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " precision recall f1-score support\n", - "\n", - " No 0.95 0.98 0.96 941\n", - " Yes 0.34 0.19 0.24 59\n", - "\n", - "avg / total 0.91 0.93 0.92 1000\n", - "\n", - "Pred No Yes\n", - "True \n", - "No 920 21\n", - "Yes 48 11\n" - ] - } - ], - "source": [ - "# using 25% changes of buying instead of 50%\n", - "pred_p = logistic.predict_proba(X_test)\n", - "cm_df = pd.DataFrame({\"True\": y_test, \"Pred\": pred_p[:, 1] > 0.25})\n", - "cm_df.Pred.replace(to_replace={True: \"Yes\", False: \"No\"}, inplace=True)\n", - "print(classification_report(y_test, cm_df.Pred))\n", - "print(cm_df.groupby([\"True\", \"Pred\"]).size().unstack(\"True\").T)" - ] + "outputs": [], + "source": [] } ], "metadata": { diff --git a/classification.py b/classification.py index 6f8ccbb..1cfaf13 100644 --- a/classification.py +++ b/classification.py @@ -82,8 +82,7 @@ def print_OLS_error_table(model, X_train, y_train): def plot_classification(model, X_test, y_test): - fig = plt.figure(figsize=(8, 8)) - ax = plt.subplot(1, 1, 1) + fig, ax = plt.subplots(ncols=1, figsize=(8, 8)) if isinstance(X_test, pd.DataFrame): X_cols = X_test.columns @@ -103,9 +102,9 @@ def plot_classification(model, X_test, y_test): N_points_grid = 200 xx, yy = np.meshgrid(np.linspace(minX1, maxX1, N_points_grid), np.linspace(minX2, maxX2, N_points_grid)) X = np.c_[xx.ravel(), yy.ravel()] - est_region = model.predict(X) + est_region = model.predict(pd.DataFrame(X, columns=X_cols)) # regions - plt.contourf(xx, yy, est_region.reshape(xx.shape), cmap=plt.cm.coolwarm, alpha=0.5) + plt.contourf(xx, yy, est_region.reshape(xx.shape), cmap=plt.cm.coolwarm, alpha=0.3) return ax

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