diff --git a/.gitignore b/.gitignore index f45490f..00acbec 100644 --- a/.gitignore +++ b/.gitignore @@ -25,3 +25,11 @@ $RECYCLE.BIN/ .ipynb_checkpoints/ __pycache__/ *.pyc + + +.venv + +.vscode + +.virtual_documents + diff --git a/03_Linear_regression.ipynb b/03_Linear_regression.ipynb new file mode 100644 index 0000000..1bd0684 --- /dev/null +++ b/03_Linear_regression.ipynb @@ -0,0 +1,3819 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import linear_regression\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "\n", + "from scipy import stats\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.neighbors import KNeighborsRegressor" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'3.9.7 (default, Sep 9 2021, 23:20:13) \\n[GCC 9.3.0]'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import sys\n", + "sys.version" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "plt.style.use('seaborn-white')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3.1 Simple Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 200 entries, 0 to 199\n", + "Data columns (total 4 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 TV 200 non-null float64\n", + " 1 radio 200 non-null float64\n", + " 2 newspaper 200 non-null float64\n", + " 3 sales 200 non-null float64\n", + "dtypes: float64(4)\n", + "memory usage: 6.4 KB\n" + ] + } + ], + "source": [ + "advertising = pd.read_csv('Data/Advertising.csv', usecols=[1,2,3,4])\n", + "advertising.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.regplot(data=advertising, y=\"sales\", x=\"TV\", ci=None, line_kws=dict(color=\"red\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 7.0326 0.458 15.360 0.000 6.130 7.935
TV 0.0475 0.003 17.668 0.000 0.042 0.053
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('sales ~ TV', advertising).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Value
Residual standard error3.26
R20.61
F-statistic312.14
\n", + "
" + ], + "text/plain": [ + " Value\n", + "Residual standard error 3.26\n", + "R2 0.61\n", + "F-statistic 312.14" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(\n", + " {\"Value\": [np.sqrt(est.mse_resid/est.df_model), est.rsquared, est.fvalue]},\n", + " index=[\"Residual standard error\", \"R2\", \"F-statistic\"]\n", + ").round(2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3.2 Multiple Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 7.0326 0.458 15.360 0.000 6.130 7.935
TV 0.0475 0.003 17.668 0.000 0.042 0.053
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 9.3116 0.563 16.542 0.000 8.202 10.422
radio 0.2025 0.020 9.921 0.000 0.162 0.243
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 12.3514 0.621 19.876 0.000 11.126 13.577
newspaper 0.0547 0.017 3.300 0.001 0.022 0.087
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "est = smf.ols('sales ~ TV', advertising).fit()\n", + "display(est.summary().tables[1])\n", + "\n", + "est = smf.ols('sales ~ radio', advertising).fit()\n", + "display(est.summary().tables[1])\n", + "\n", + "est = smf.ols('sales ~ newspaper', advertising).fit()\n", + "display(est.summary().tables[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 2.9389 0.312 9.422 0.000 2.324 3.554
TV 0.0458 0.001 32.809 0.000 0.043 0.049
radio 0.1885 0.009 21.893 0.000 0.172 0.206
newspaper -0.0010 0.006 -0.177 0.860 -0.013 0.011
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "est = smf.ols('sales ~ TV + radio + newspaper', advertising).fit()\n", + "display(est.summary().tables[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 TVradionewspapersales
TV1.0000.0550.0570.782
radio0.0551.0000.3540.576
newspaper0.0570.3541.0000.228
sales0.7820.5760.2281.000
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Value
Residual standard error1.69
R20.90
F-statistic570.27
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" + ], + "text/plain": [ + " Value\n", + "Residual standard error 1.69\n", + "R2 0.90\n", + "F-statistic 570.27" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(\n", + " {\"Value\": [np.sqrt(est.mse_resid/(est.df_model-2)), est.rsquared, est.fvalue]},\n", + " index=[\"Residual standard error\", \"R2\", \"F-statistic\"]\n", + ").round(2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3.3 Other Considerations in the Regression Model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.3.1 Qualitative Predictors" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IncomeLimitRatingCardsAgeEducationOwnStudentMarriedRegionBalance
014.891360628323411NoNoYesSouth333
1106.025664548338215YesYesYesWest903
2104.593707551447111NoNoNoWest580
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" + ], + "text/plain": [ + " Income Limit Rating Cards Age Education Own Student Married Region \\\n", + "0 14.891 3606 283 2 34 11 No No Yes South \n", + "1 106.025 6645 483 3 82 15 Yes Yes Yes West \n", + "2 104.593 7075 514 4 71 11 No No No West \n", + "\n", + " Balance \n", + "0 333 \n", + "1 903 \n", + "2 580 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "credit = pd.read_csv('Data/Credit.csv')\n", + "credit.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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3Pg+IrKwsdu7cybp169ydzcHBwQQHBwPQv39/oqOjOXXqFDabrd5jqKKiImw2m69L9gpPk63y8vKoNYwGLaPx5akvCLJYSEtLu+Y1TbQSkabg04DYvXs3mZmZvPnmm7Rp08bdXlpaSlhYGFarlYKCAvLz8+nRowfh4eGEhoZy+PBhBg0aRHZ2Ng8//LAvS/aa3NxcPj3xVzp16eFuC4vsBkDFxeqbvr+DrW5Dk+Lyi/Xavz5TAGiilYh8d14LiHnz5rF//37KysqIiYlhzpw5ZGRkUF1dzcyZM4F/DGf98MMPeemll2jVqhVBQUEsXbqU8PBwAJ577jn3MNeYmJh6/Rb+rlOXHiT9v1806TlzXvtVk55PRAKX1wLi17/+9TVtU6dO9Xjs+PHjGT9+vMfXBgwY4J5HISIivqOZ1CIi4pECQkREPGpwQBw4cIB33nkHqOtULigo8FpRIiJivgYFxJo1a8jMzCQjIwOoW9f+qaee8mphIiJirgZ1Um/fvp3s7Gx+9KMfAWCz2aisrPRqYSIiDdWQTZyuysvLwzAMVixc0aQ1fPnFl1iuMzfJE3+Yr9SggGjdujUWi8U9se3ixYs3eYeIiO/k5ubyyYlPCIsKu+mxbTrXzcE6e+Fsk9Zwe+TtABSeK7zpseVF5UDzn6/UoICYMGECixcvpqKigo0bN/LOO+8wbdo0b9cmItJgYVFhjH5ktNllNMiezD1ml9AgDQqI1NRU/vKXv9C2bVtOnTpFWloaI0eO9HZtIiJiogYFREFBAcOGDXOHwuXLlyksLKR79+5eLU5ERMzToFFMTzzxRL1d3IKCgnjiiSe8VpSIiJivQXcQLpfLvdoq1K2+WlNT47WiRHytsaNgMGqZ+8zzTV7HyVNfgiWoRY2EEf/VoICIiIjA4XAwZswYoG7EQIcOHbxamIgv5ebmknf8GL1t7W96bO+OtwHgOl/c5HX07lQ3wuZK6Vc3PfaUswJo/iNhxH81KCCWLl3K/PnzWb58OYZh0KVLF1544QVv1ybiU71t7Xl++r1ml9Fgi97cZ3YJ0sI1KCCio6PZuHGje3Jc27ZtvVqUv2rsY4oaV22TL8/99ZkCyov1iEJEvrsGBUR1dTVbt27l9OnTXLlyxd3++OOPe60wf5Sbm8vRT47TJiLq5geHdqI1UH6xqklraB0WCUDembKbHnuptG63PgWEiHjSoICYNWsW7dq1o1+/fvU6q+VabSKiuHP8DLPLaJCTW9eZXYKINGMNCgin08l//dd/Nfrk6enp7Ny5k44dO7o3/Tl37hxz587l9OnTdOvWjdWrVxMWFoZhGDz//PPs2rWLkJAQVq1aRb9+/QB49913efXVV4G6sLq6JpSIiHhPg+ZBDBkyhL/+9a+NPnlKSgqZmZn12jIyMhgxYgTbtm1jxIgR7hVid+/eTX5+Ptu2bWP58uUsWbIEqAuUNWvWsHHjRt5++23WrFlDeXl5o2sREZHGaVBAHDx4kClTpjB+/HgSExPd/9zM8OHDCQurv3iWw+EgOTkZgOTkZHen7tV2i8XC4MGDqaiooLi4mL179zJy5EjCw8MJCwtj5MiR7NnjH+uYiIj4swY9Ynrttdea7BuWlJQQGVnXkdq5c2dKSkqAusdYUVH/6NyNiorC6XRe026z2XA6nU1Wj4iIeNaggOjWrRtQ98u9qqrpRt18cwlxERFpXhoUEA6HgxdeeIHi4mIiIiL429/+xh133IHdbm/0N+zYsSPFxcVERka6zwd1dwZFRUXu44qKirDZbNhsNvbv3+9udzqd/OAHP2j09xURkcZpUB/Eb3/7WzZs2ECvXr3485//zLp16xg0aNAtfcO4uDiys7MByM7Odi/fcbXdMAwOHz5Mu3btiIyMZNSoUezdu5fy8nLKy8vZu3cvo0aNuqXvLSIiDdegO4hWrVrRoUMHamtrqa2t5Yc//CErV6686fvmzZvH/v37KSsrIyYmhjlz5vDoo4/y5JNPsmnTJrp27crq1asBiI2NZdeuXcTHx9OmTRv3+cPDw3nssce4//77AZg9ezbh4eG39tOKiEiDNSgg2rdvT2VlJcOHD2f+/PlERERw++233/R9v/71rz22v/HGG9e0WSwWnnvuOY/H33///e6AEBER32jQI6ZXXnmFkJAQ0tPTGT16NNHR0e6JayIi0jI16A7im3cLmsUsIhIYbhgQQ4YM8TgM1TAMLBYLH330kdcKExERc90wIA4dOuSrOkQapDFLqjdGXl4expUqv9pj4QtnBZaSvAYv7d4YWgZeoIGPmK769kS5rl27NnlBIjeSm5vLZ8c+IjrU1aTn7dEaaA1XKi416Xm9KboNwCUu53/YpOf96oIV0DLwYsJEOZHvKjrUxTPDLphdRou14kCo2SVIM+HziXIiIuIfGhQQnibKHTt2zNu1iYiIibw6UU5E5CpvDTCAukEGVVeq2JPpH1sBnDtzjktnL3llgAE03SCDBgXENyfKbd68mfPnzzN79uzv/M1FJHDk5uZy6JNDEO6Fk//9evVs5VkvnNwL2kMNNRw67YWRoufq/uWzgLh6txAUFERsbCwdOnTw22W6vX0Vc6n6it/s9XyptIi8C183+6sYaUHCofZfas2uokUL2tmgnoMGuWFAHD58mF/96leEhYXx2GOP8e///u+UlZVRW1vLCy+8QExMTJMV4iu5ubkc+vhTam+PaPqTB7WDEKi52HR7ZnhVSAdqgIOfF9300MYKulgKaKikiD+7YUAsW7aMefPmcf78eX72s5/x2muvMXjwYD7//HN+8Ytf+GVAANTeHsHl700yu4wWLeTTLWaXICLf0Q3vRVwuF6NGjWLChAl06tSJwYMHA3DHHXf4ojYRETHRDQMiKOgfL4eEhNR7zV/7IEREpGFu+IjpxIkTDB06FMMwqKqqYujQoUDdYn3V1dU+KVBERMxxw4A4fvx4k3/DL774grlz57q/LigoIC0tjfPnz7Nx40b3HtXz5s0jNjYWgLVr17Jp0yaCgoJ45plnGD16dJPXJSIi9TVqsb6m0KdPH3JycoC6Po6YmBji4+PJyspixowZpKam1jv+5MmT2O127HY7TqeTmTNnsnXrVqxWq69LFxEJKE03YPYWfPDBB/To0YNu3bpd9xiHw0FCQgLBwcH06NGDnj17cvToUR9WKSISmEwNCLvdzqRJ/xhuun79ehITE0lPT6e8vBwAp9NJVFSU+xibzYbT6fR5rSIigca0gKiurubPf/4z//qv/wrAgw8+yPbt28nJySEyMpJVq1aZVZqIiGBiQOzevZt+/frRqVMnADp16oTVaiUoKIipU6fy8ccfA3V3DEVF/5jp63Q6sdlsptQsIhJITAsIu91OQkKC++vi4mL3f+fm5tK3b18A4uLisNvtVFdXU1BQQH5+PgMHDvR5vSIigcbno5gALl68yPvvv8+yZcvcbS+++CInTpwAoFu3bu7X+vbty4QJE5g4cSJWq5XFixdrBJOIiA+YEhC33347+/bV3xz+xRdfvO7xs2bNYtasWd4uS0REvsHUUUwiItJ8KSBERMQjBYSIiHikgBAREY8UECIi4pECQkREPFJAiIiIRwoIERHxSAEhIiIeKSBERMQjBYSIiHikgBAREY8UECIi4pECQkREPFJAiIiIR6bsBwF1O8W1bduWoKAgrFYrWVlZnDt3jrlz53L69Gm6devG6tWrCQsLwzAMnn/+eXbt2kVISAirVq2iX79+ZpUuIhIQTL2DeOONN8jJySErKwuAjIwMRowYwbZt2xgxYgQZGRlA3f7V+fn5bNu2jeXLl7NkyRITqxYRCQzN6hGTw+EgOTkZgOTkZHJzc+u1WywWBg8eTEVFRb09rEVEpOmZGhCpqamkpKSwYcMGAEpKSoiMjASgc+fOlJSUAOB0OomKinK/LyoqCqfT6fuCRUQCiGl9EG+99RY2m42SkhJmzpxJnz596r1usViwWCwmVSciIqYFhM1mA6Bjx47Ex8dz9OhROnbsSHFxMZGRkRQXFxMREeE+tqioyP3eoqIi9/tFxH9cLr+MkWeYXUaLZim3QLemOZcpAXHx4kVqa2sJDQ3l4sWL/OUvf+Gxxx4jLi6O7OxsHn30UbKzsxkzZgxQN+LpzTffJCEhgSNHjtCuXTv3o6hbUXW+jJrTnzbVjyMeWM6XAVE3PU5Emi9TAqKkpITZs2cD4HK5mDRpEjExMQwYMIAnn3ySTZs20bVrV1avXg1AbGwsu3btIj4+njZt2rBy5UozyhaR7ygkLITavrVml9GiBZ1uuq5lUwKiR48e/PGPf7ymvUOHDrzxxhvXtFssFp577rkm+/63teuA0e17TXY+udZt5V+YXYKIfEfNapiriIg0HwoIERHxyLRRTCK3qriiip35LrPLaLGKK6qINrsIaRZ0ByEiIh7pDkL8TmT72/iXXjVml9Fi7f36NrNLkGZCdxAiIuKRAkJERDxSQIiIiEcKCBER8UgBISIiHikgRETEIwWEiIh4pIAQERGPFBAiIuKRAkJERDxSQIiIiEc+D4gzZ87w8MMPM3HiRBISEtwbBL388suMHj2apKQkkpKS2LVrl/s9a9euJT4+nvHjx7Nnzx5flywiEpB8vlif1WplwYIF9OvXjwsXLjBlyhRGjhwJwIwZM0hNTa13/MmTJ7Hb7djtdpxOJzNnzmTr1q1YrVZfly4iElB8fgcRGRlJv379AAgNDaVPnz44nc7rHu9wOEhISCA4OJgePXrQs2dPjh496qtyRUQClql9EIWFhRw/fpxBgwYBsH79ehITE0lPT6e8vBwAp9NJVFSU+z02m+2GgSIiIk3DtICorKwkLS2NhQsXEhoayoMPPsj27dvJyckhMjKSVatWmVWaiIhgUkDU1NSQlpZGYmIi48aNA6BTp05YrVaCgoKYOnUqH3/8MVB3x1BUVOR+r9PpxGazmVG2iEhA8XlAGIbBokWL6NOnDzNnznS3FxcXu/87NzeXvn37AhAXF4fdbqe6upqCggLy8/MZOHCgr8sWEQk4Ph/FdPDgQXJycrjrrrtISkoCYN68eWzZsoUTJ04A0K1bN5YtWwZA3759mTBhAhMnTsRqtbJ48WKNYBIR8QGfB8SwYcP461//ek17bGzsdd8za9YsZs2a5c2yRETkWzSTWkREPFJAiIiIRwoIERHxSAEhIiIeKSBERMQjBYSIiHikgBAREY98Pg+iOQi6WErIp1vMLqNFC7pYCkTd9DgRab4CLiDGjh3rtXPn5eVxqfoKbSL84xfjpdIi2gS3ci9r0rSivPr/WkS8L+ACYvLkyUyePNkr505LSyPvTBl3jp/hlfM3tZNb19G3Swdeeukls0sRkWZIfRAiIuKRAkJERDxSQIiIiEcB1wchIiY6B0E7dV3qVeeAbk1zKgWEiPiEt0cQVl2pIrxLuNe+R1M6d+Yct7W6zTsjCLs13f9rBYSI+IS3RxAWnitk9COjvXL+prYncw/dw7s3+xGEfnOvt3v3bsaPH098fDwZGRlmlyMi0uL5RUC4XC6WLVtGZmYmdrudLVu2cPLkSbPLEhFp0fziEdPRo0fp2bMnPXr0ACAhIQGHw8Gdd95pcmXXulRaxMmt68wuo0EulRZBlw5ml9FoX12wsuJAqNlltFhfXbByl9lF3ILyonL2ZO4xu4wGKS8qp3t4d7PLuCm/CAin00lU1D+Wr7DZbBw9etTEijxrTMfQ119/TVlZWb22mpoarly50uBztGrVitatW1/T3qFDBzp16nTzE3Tp4HfLYXirXk+fx/U09nNqrOt9rp40+LNuhLvwboeyN3zXv3tNpaGfR/fw7n7x/9gvAsJfeLMTTuro/7F4oj8X3uEXfRA2m42ioiL3106nE5vNZmJFIiItn18ExIABA8jPz6egoIDq6mrsdjtxcXFmlyUi0qL5xSOmVq1asXjxYh555BFcLhdTpkzx0hLVIiJylV8EBEBsbCyxsbFmlyEiEjD84hGTiIj4ngJCREQ8UkCIiIhHftMHcSMulwug3lBYERG5sau/M6/+Dv22FhEQZ8+eBeChhx4yuRIREf9z9uxZevbseU27xTAMw4R6mtTly5c5duwYnTt3xmq1ml2OiIhfcLlcnD17lv79+xMSEnLN6y0iIEREpOmpk1pERDxSQJjg1VdfJSEhgcTERJKSkjhy5Eijz7Fv3z4++ugj99cLFizgf//3f5uyTLmBlStXsm7dOvfXqampLFq0yP31qlWreP311xt8vm9/nuJ9//RP/0RSUpL7n1vZiKylf24topPanxw6dIidO3fy7rvvEhwcTGlpKTU1NY0+z/79+7n99tsZOnSoF6qUmxk6dCjvvfceM2bMoLa2lrKyMi5cuOB+/dChQ6Snpzf4fPo8fS8kJIScnJzvdI6W/rnpDsLHzp49S4cOHQgODgYgIiICm83GBx98QHJyMomJiaSnp1NdXQ1AXFwcpaWlAHz88cc8/PDDFBYW8oc//IF169aRlJTEgQMHADhw4AAPPPAAY8aM0d2Elw0ZMoTDhw8DkJeXR9++fWnbti3l5eVUV1fz+eefY7FYmD59OikpKaSmplJcXAzA//zP/zBx4kQSExOZO3fudT9PMceaNWuYMmUKkyZN4tlnn+VqN21Afm6G+NSFCxeMyZMnG+PGjTOee+45Y9++fcbly5eNmJgY44svvjAMwzCeeuop4/XXXzcMwzDuu+8+o6SkxDAMwzh69Kgxffp0wzAM46WXXjIyMzPd53366aeNOXPmGC6Xy8jLyzPGjh3r2x8sAN13333G6dOnjbfeesv4/e9/b/zmN78xdu7caRw4cMCYNm2a8eMf/9j92dntdmPBggWGYRjGyJEjjaqqKsMwDKO8vNwwjGs/T/G+e+65x5g8ebL7H7vdbhiGYZSVlbmPmT9/vuFwOAzDCMzPTY+YfKxt27ZkZWVx4MAB9u3bx9y5c3n00Ufp3r07vXv3BuBHP/oR69evZ8aMGY0699ixYwkKCuLOO+/k66+/9kL18k1Dhgzh0KFDHDp0iJkzZ+J0Ovnoo49o164dNpuNvXv3MnPmTABqa2vp3LkzAHfffTfz589nzJgxfrGrWEt1vUdM+/btIzMzk8uXL3Pu3Dn69u1LXFxcQH5uCggTWK1W7r33Xu69917uuusu1q9ff8Njjb/f4lZVVd3wvFcfW4lvDB06lEOHDvHZZ5/Rt29foqKi+O///m9CQ0P5wQ9+gNPpZMOGDde8LyMjgw8//JAdO3bwu9/9js2bN5tQvXhSVVXF0qVLeeedd+jSpQsvv/yy++9dIH5u6oPwsS+++IL8/Hz318ePHyc6OprTp0/z5ZdfApCTk8Pw4cMB6NatG8eOHQNg27Zt7ve1bduWyspK3xUu1xg6dCg7duwgLCwMq9VKeHg458+f5/Dhw0yaNInS0lIOHToE1O1jnZeXR21tLWfOnOGHP/wh8+fP5/z581y8eFGfZzNxNQw6dOhAZWUlW7duBQjYz013ED528eJFVqxYQUVFBVarlZ49e7Js2TImTZrEE088gcvlon///jz44IMAPP744yxatIjf/va33Hvvve7z3HfffaSlpeFwOHj22WfN+nEC2l133UVZWRmTJk2q11ZZWUnHjh156aWXWLFiBefPn8flcvGzn/2MXr168dRTT3HhwgUMw+CnP/0p7du3v+bzHDZsmIk/WWC4fPkySUlJ7q9Hjx7N/PnzmTp1KpMmTaJTp04MGDAAqJtxHIifm2ZSi4iIR3rEJCIiHikgRETEIwWEiIh4pIAQERGPFBAiIuKRAkLkJq6u+jlp0iT+7d/+jYqKils6j9PpJC0trYmrE/EeDXMVuYmrS2oAPP300/Tq1YtZs2aZXJWI9+kOQqQRBg8ejNPpBOCrr74iNTWVlJQUfvKTn/D555+726dNm0ZiYiK/+c1vGDJkCACFhYXuSXVVVVWkp6eTmJhIcnIy//d//wdAVlYWjz/+OKmpqYwbN47/+I//MOGnFKmjgBBpIJfLxQcffEBcXBwAzz77LM8++yxZWVk8/fTTLF26FIDnn3+en/70p2zevJmoqCiP57q6/tbmzZv51a9+xYIFC9zLPBw/fpzVq1ezefNm3nvvPc6cOeODn07kWlpqQ+Qmri7J4HQ6ueOOOxg5ciSVlZUcOnSIJ554wn3c1T08Dh8+zH/+538CkJiY6PEu4ODBg0yfPh2AO+64g65du3Lq1CkARowYQbt27dyvnT59mi5dunj1ZxTxRAEhchNXl4W+dOkSqamprF+/npSUFNq3b/+ddyTz5Jur8lqtVlwuV5N/D5GG0CMmkQZq06YNzzzzDK+//johISF0796d9957DwDDMDhx4gQAgwYNcq+8a7fbPZ5r2LBh7uWiT506xZkzZ+jTp48PfgqRhlNAiDTC9773Pe6++262bNnCiy++yKZNm5g8eTIJCQnk5uYCsHDhQl5//XUSExP58ssvCQ0NveY8P/nJTzAMw7195S9/+Uvt5yHNjoa5ijSxS5cuERISgsViwW63s2XLFl599VWzyxJpNPVBiDSxTz75hGXLlmEYBu3bt2flypVmlyRyS3QHISIiHqkPQkREPFJAiIiIRwoIERHxSAEhIiIeKSBERMQjBYSIiHj0/wEePTE1k2IgxwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxenplot(data=credit, y=\"Balance\", x=\"Region\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Qualitative Predictors with Only Two Levels" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 509.8031 33.128 15.389 0.000 444.675 574.931
Own[T.Yes] 19.7331 46.051 0.429 0.669 -70.801 110.267
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('Balance ~ Own', credit).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 519.6697 23.026 22.569 0.000 474.403 564.937
C(Own, Sum)[S.No] -9.8666 23.026 -0.429 0.669 -55.134 35.400
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('Balance ~ C(Own, Sum)', credit).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Qualitative Predictors with More than Two Levels" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 531.0000 46.319 11.464 0.000 439.939 622.061
C(Region, Treatment(\"East\"))[T.South] -12.5025 56.681 -0.221 0.826 -123.935 98.930
C(Region, Treatment(\"East\"))[T.West] -18.6863 65.021 -0.287 0.774 -146.515 109.142
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ensure the reference level is East\n", + "est = smf.ols('Balance ~ C(Region, Treatment(\"East\"))', credit).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9574918881199579" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est.f_pvalue" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.3.2 Extensions of the Linear Model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Removing the Additive Assumption" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 6.7502 0.248 27.233 0.000 6.261 7.239
TV 0.0191 0.002 12.699 0.000 0.016 0.022
radio 0.0289 0.009 3.241 0.001 0.011 0.046
TV:radio 0.0011 5.24e-05 20.727 0.000 0.001 0.001
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('sales ~ TV + radio + TV*radio', advertising).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "est_linear = smf.ols('Balance ~ Income + Student', credit).fit()\n", + "est_interaction = smf.ols('Balance ~ Income * Student', credit).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "sns.lineplot(x=credit.Income, y=est_linear.fittedvalues, hue=credit.Student, ax=ax1)\n", + "sns.lineplot(x=credit.Income, y=est_interaction.fittedvalues, hue=credit.Student, ax=ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Non-linear Relationships" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 392 entries, 0 to 396\n", + "Data columns (total 9 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 mpg 392 non-null float64\n", + " 1 cylinders 392 non-null int64 \n", + " 2 displacement 392 non-null float64\n", + " 3 horsepower 392 non-null float64\n", + " 4 weight 392 non-null int64 \n", + " 5 acceleration 392 non-null float64\n", + " 6 year 392 non-null int64 \n", + " 7 origin 392 non-null int64 \n", + " 8 name 392 non-null object \n", + "dtypes: float64(4), int64(4), object(1)\n", + "memory usage: 30.6+ KB\n" + ] + } + ], + "source": [ + "auto = pd.read_csv('Data/Auto.csv', na_values='?').dropna()\n", + "auto.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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mpgcylindersdisplacementhorsepowerweightaccelerationyearoriginname
018.08307.0130.0350412.0701chevrolet chevelle malibu
115.08350.0165.0369311.5701buick skylark 320
218.08318.0150.0343611.0701plymouth satellite
316.08304.0150.0343312.0701amc rebel sst
417.08302.0140.0344910.5701ford torino
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" + ], + "text/plain": [ + " mpg cylinders displacement horsepower weight acceleration year \\\n", + "0 18.0 8 307.0 130.0 3504 12.0 70 \n", + "1 15.0 8 350.0 165.0 3693 11.5 70 \n", + "2 18.0 8 318.0 150.0 3436 11.0 70 \n", + "3 16.0 8 304.0 150.0 3433 12.0 70 \n", + "4 17.0 8 302.0 140.0 3449 10.5 70 \n", + "\n", + " origin name \n", + "0 1 chevrolet chevelle malibu \n", + "1 1 buick skylark 320 \n", + "2 1 plymouth satellite \n", + "3 1 amc rebel sst \n", + "4 1 ford torino " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "auto.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 56.9001 1.800 31.604 0.000 53.360 60.440
horsepower -0.4662 0.031 -14.978 0.000 -0.527 -0.405
np.power(horsepower, 2) 0.0012 0.000 10.080 0.000 0.001 0.001
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.ols('mpg ~ horsepower + np.power(horsepower, 2)', auto).fit()\n", + "est.summary().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12,5))\n", + "common_config = dict(ci=None, truncate=False, scatter=False)\n", + "plt.scatter(data=auto, x=\"horsepower\", y=\"mpg\", facecolors='None', edgecolors='k', alpha=.5) \n", + "sns.regplot(data=auto, x=\"horsepower\", y=\"mpg\", label='Linear', color='orange', **common_config)\n", + "sns.regplot(data=auto, x=\"horsepower\", y=\"mpg\", label='Degree 2', order=2, color='blue', **common_config)\n", + "sns.regplot(data=auto, x=\"horsepower\", y=\"mpg\", label='Degree 5', order=5, color='g', **common_config)\n", + "plt.legend()\n", + "plt.ylim(5,55)\n", + "plt.xlim(40,240);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.3.3 Potential Problems" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1. Non-linearity of the Data" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "model_linear = smf.ols('mpg ~ horsepower', auto).fit()\n", + "model_quad = smf.ols('mpg ~ horsepower + np.power(horsepower, 2)', auto).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "linear_regression.residuals_vs_fitted(model_linear, ax=ax1)\n", + "linear_regression.residuals_vs_fitted(model_quad, ax=ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2. Correlation of Error Terms" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "linear_regression.residuals_autocorrelation(model_linear, ax=ax1);\n", + "linear_regression.residuals_autocorrelation(model_quad, ax=ax2);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3. Non-constant Variance of Error Terms" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "linear_regression.residuals_vs_fitted(model_linear, ax=ax1, show_quantiles=True)\n", + "linear_regression.residuals_vs_fitted(model_quad, ax=ax2, show_quantiles=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "linear_regression.residuals_normality(model_linear, ax1)\n", + "linear_regression.residuals_normality(model_quad, ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 4. Outliers" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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BMKGqxUuRwxx93OZq4v1nHiAQDLPGbmLp0qWccsopzJw5k9GjR3PJJZcAcPrpp/Ozn/2MRx55hJaWFu68805A80q88sorKfktAsFg0fE+aXM18e4zD6IqYYIhhe9d8k1OPvlkLr30UjweD6qqMn369Og98eyzz7Jhwwb0ej12u5377rsvlT9FIBAIekW0JhAIBIJhwgOrynF6gzgshuhzkcfXnz4thSMTDDVCRnaPuE8Egv4j+pcOP0SYpUAgEAwTls4qxOkN4vQGUVQ1+v+lswpTPTSBIG0Q94lA0H+MRiPLly/ntdde4z//+Q8ffPABX3zxBeeeey4rV67k9ddfx+/3R3uUjh07lmeffZbXX3+dq6++mttvvz3Fv+DIQyhzAoFAMEwoKXJQumgiDouBaqcPh8VA6aKJlBQ5Uj00gSBtEPeJQNB/eupfKkkSkiR16V/qcGj3luhfmhpEzpxAIBAMI0qKHGJTKhD0grhPBIL+I/qXDi+EMicQCATDhL7mMjidTm699VYqKiowmUz84Q9/YNo0kTMkEAgEgljKqp2s3FZLVYuXMVkW7n3sn4yxSlxzzTWUl5dHZUdv/Uuff/75VAz/iEaEWQoEAsEwoa+5DI899hglJSW8/vrr3Hfffdx9990p/gUCgUAgSDcS7c0o+pemJ0KZEwgEgmFCX3MZ9uzZw9e//nUAJk+eTFVVFQ0NDSkbv0AgEAjSj956M4r+pemNCLMUCASCYURfchlmzJjBO++8w/z589m6dSuHDh2ipqaGvLy8VA1fIBAIBGlGb70ZRf/S9EYocwKBQDCM0Ol0vPrqq7hcrl5zGUpLS7n77rs577zzmDZtGiUlJeh0ulQOXyAQCARpxpgsS7QXY+6YiVx080PRxz9r7824ffv2uJ+9++67RQh/ihHKnEAgEKQxnZPSl84qpKTIgd1uj+YyTJs2LZrL8PDDD0c/a7PZuOeeewBQVZUlS5Ywbty4VP0UgUAgEKQhS2cV8sS6fQBkmvW0+kI4vUEuOXZsikcmSASRMycQCARpSuek9Nr6Bh55extl1U58Pl+vuQwul4tAIADAihUrmD9/PjabLVU/RyAQCARpiOjNOLwRnjmBQCBIUzompQPoA618tvwBrlqukms1sHTp0h5zGfbs2cPNN98MwNSpU0UojEAgEAjiInozDl9Spsx11y9JIBAIBBodk9IBcsdM5OJbHqLa6eP+iw4XPukul2Hu3Lm8/fbbgz5OgUAgEAgEqSFlylykX5LVaiUYDHLppZeyaNEi5syZk6ohCQQCQVrRMSk9QqsvxJgsSwpHJRAIBAKBIF1ImTLXXb8kgUAgEGiIpHSBQCAQDJTuCmkJRgYpLYASDoc577zzOP744zn++ONj+iUJBALBkY5IShcIBALBQOhcSMvpDfLEun2UVTtTPTRBkkhpAZSe+iUJBILE6S4H9dZbb2Xbtm2oqsrEiRO55557sFqtvPDCCzz//PPIskxGRga/+93vmDJlSqp/hiAOIin9yETklQsEgmTQuZBW5N+V22qFbBkhpEU1y879kgQCQd/oLgf11ltvjZaiv+eee3juuecoLS3lnHPO4Tvf+Q4Aa9as4Z577uHJJ59M5U8QCAQdEHnlAoEgGXQupAVa2H5VizdFIxIkm5Qpc01NTej1eux2e7Rf0o9+9KNUDUcgGNZ0l4MaUeRUVcXn80Xf37HXmNfrFfmqAkGaIfLKBYLhTbrkqYlCWiOflClzdXV13HzzzYTDYVRVjfZLEggE/SMcDnP++edTUVHBpZdeGs1BveWWW1i7di2TJ0+O9hwDeO6553jqqacIBoMsX748VcMWCATd0N09LRAI0ptInprDYojJU0tFzrMopDXykVRVVVM9iHhUVlayZMkS1qxZw9ixYsIJBIkSyUG9/fbbo2HL4XCY3/3udxx99NFccMEFMe9//fXX+fDDD7nvvvtSMVyBQNAL8e5pISMFgvTlgVXlXbxhkcfXnz706UTp4iUUDA5pkTMnEAj6TneLc7wcVJ1Ox7Jly/jHP/7RRZlbtmwZd9xxRwp+wchHCFBBMhB55YKRxkhfG9MtT00U0hrZpLQ1gUAg6B+dSw3X1jfwyNvbKKt2RnNQJ06cyIEDBwAtZ+7dd99l0qRJAOzfvz/6Xe+//z7FxcWp+BkjGlEOWjAQmpqacLlcANF7OnL/CgTDmSNhbRyTZaHVF4p5TuSpCQYL4ZkTCIYhnUsN6wOtfLb8Aa5arpJrNbB06VJOPvlkLr30UjweD6qqMn36dO68804Ann32WTZs2BAtQiRCLJOPKActGAgir1wwUjkS1kaRpyYYSoQyJxAMQzqHcOSOmcjFtzxEtdPH/RcdLpLw4osvxv38bbfdNuhjPNJJtzAbwfBixowZ/Oc//0n1MASCpHMkrI0lRQ5KF02MCSW95NixI0ZZFaQXQpkTCIYhotRw+iOukUAgEHTlSFkbRZ6aYKgQOXMCwTBk6axCnN4gTm8QRVWj/186qzDVQxO0I66RQCAQdGUo1sayaicPrCrnxhVbeGBV+YjKxxMIOiOUOYFgGBIJ4XBYDFQ7fTgshpT0rxF0j7hGAoFA0JXBXhuPhAIrAkFHRJilQDBMESEc6Y+4RgKBQNCVwVwbj4QCKwJBR0a0MjfS+5gIBAKBQCAQCA5zJBRYEQg6MmKVuYib3WExxLjZRZiTQCAQdI8wggkEguHMkVJgRSCIMGJz5jq62WVJiv5/5bbaVA9NIBAI0hKRayIQCIY7oviU4EhjxCpzVS1eMs2xjkfhZhcIBILuEUYwgUAw3BHFpwRHGiM2zFK42QUCgaBvJJJrIsIwBQJBuiOKTwmOJEasZ0642QUCgaBvjMmy0OoLxTzX0QgmwjAFAoFAIEgvRqwyJ9zsAoFA0Dd6M4KJMEyBQJAqRCNwgSA+IzbMEoSbXSAQaPQnNPBIDCeMGME6/u5Ljh0b/d2i5LdAIEgFokK5QNA9I1qZEwgEgv5sAo7kjUNPRjCRiywQjHzS0ZAlGoELBN0zYsMsBQKBAPoXGijCCeMjcpEFgpFNuubFigrlAkH3CM+cQCAY0fQnNDCdwwlTaTUvKXJwWkk+yzdUUOvyUWg3c+XC8cIyLhCMENLVAyaiAgSC7hGeOYFAMKLprUJjsj4zFKTaal5W7WR1WT0zi+ycO3s0M4vsrC6rT7nVXiAQJId09YCJqACBoHuEMicQCEY0/dkEpOvGIdXhn6k+vkAgGFzS1ZAlKpQLBN0jlDmBQDCi6c8mIF03Dqm2mle1ePGHQny8t5F3ttfw8d5G/KFQyq32AoEgOaSrIUsgEHSPyJkTCAQjnv60KRnq1iaJ5MKlOm/EpJPYsLeJTLOeTJMeXzDMJ3ubWTgpZ0iOLxAIBpfe2pOkioFUGE7H6pwCQTIRypxAIBCkmEQ3KktnFfLEun2A5pFr9YVweoNccuzYIRmnCkidnpPanxcIBCODdOzR29/CLEdymxnBkYNQ5gQCgSDFJLpRSbXVPBBWOXZiNnsb2nD7QtjMekqKMgmEhTonEPSG8BD1n/5WGE7X6pwCQTIRypxAIBCkmL5sVFJpNY+EeS6clBt9rnPYp0Ag6IrwEA2M/oaYp3ObmYEgDAOCjogCKAKBQJBi0rWCXGdEcQSBoH+ISrADo79rz3BZW/vCYLWoKat28sCqcm5csYUHVpWLljPDiJQpc9XV1Vx++eWcddZZLFu2jOXLl6dqKAKB4Agn1UJsuChJ6VrlcyQiZOTIItWVaIc7/V17hsva2hcGwzCQ6h6mgoGRsjBLnU7HzTffzFFHHYXb7eaCCy7ghBNOYMqUKakakkAgOAJJh/CnVOfC9YV0LI4wEhEycmSR6kq0I4H+ViUeLmtrogxG6KjILRzepEyZKygooKCgAACbzcakSZOora0dckH15tYqlm+ooNblo9Bu5sqF41l2zJghHYNAIEgd6SLEhJIk6Ei6yEhBckh1JdrBJJn5Wz19V3+PM9LW1sEwDIzU3MIjhbQogFJZWUlZWRmzZ8/u8trLL79MVlZW9PFRRx3FscceSzAY5Lnnnuvy/jlz5jBnzhza2tp46aWXurw+f/58Zs2ahdPp5B/PvsjBRi9jZYkJMoTq4R9vVALHs2C0iTfeeKPL5xctWsSkSZOoqalh5cqVXV5fsmQJ48aN4+DBg6xZs6bL60uXLmXUqFHs3buXdevWdXn97LPPJi8vj507d7Jhw4Yur3/rW9/C4XCwbds2Pv/88y6vX3zxxWRkZPDFF1/wxRdfdHn9sssuw2Aw8Nlnn/HVV191ef173/seAOvXr6e8vDzmNYPBwGWXXQbA2rVr2bdvX8zrGRkZXHzxxQCsXr2aysrKmNftdjvnn38+ACtXrqSmpibm9dzcXM455xwAXn/9dRobG2NeHzVqFEuXLgXglVdeweVyxbw+duxYTjvtNABeeukl2traYl6fOHEiixcvBuC5554jGAzGvD5t2jSOP/54AJ5++mk6k8y59+9//7vL6wsXLmT69Ok0NDSIuTeEc6+p3o3Z5oApCwDw7vkUnddFU0jh6ar1gJh7QzX3BPFJlYxM57kyHNepoyQDrTnHUtXiJde5k6mKi0/e/oJP2l8fjjKyLRCiusWHTieRl1+M0zSRJ97fxdTWL8gwxm4xe5t7RVNmsrLKiEMXxFH5Gc4Klec3qxRlaUrGPnks1oJxFBoDOLd+GH0tcpwjZe5NCFeyacd2nDoJnSwRVlRCqszSyy4F+icjczzQajoWh8WAb99Gwp4WQopClizz9NOb03LudeRIWfe6I+XKnMfj4brrruPWW2/FZrMN6bFrnX5kWUIva52T9DKYDTqWb6hgwQVTh3QsAoEgNZj0OoKdSuuHFRWTXgdom5XNFc2sXrGFMVkWsrzBLr3WBILBIpUyUpBc7BYDPzx9GgCrV9dTWdnWyyfSnyZPEJ1OQi/LSGj5WyghmmqCXZS53thy0InDOppMWcVLZG+m0OTRNvbWPB0Oi4GwVzte5LW+Hme4U2g3U5RlpskTxB8KY9LrKHJYBuR9LMqysNWrnWejCiFFIRxWKcgUlYqHA5KqqilrEBQMBvnJT37CiSeeyPe///2Y1yorK1myZAlr1qxh7NjBCUNY/P/eo8BmRJYP14FRFIU6d4C1N50yKMcUCATpRcecuY7hT6WLJgJ0+1qqw3ZEaeqRT6plpEDQGzeu2EKRw4wsHTZxKapKtdPH/Rd19ST397uApB2nLxxJ6+yR9FtHGikzZ6iqyq9//WsmTZrURUgNFYV2My5vEIflsDLX6g9TaDf38CmBQDCS6ClB/oFV5WmRT9eZdCjaIhhc0kFGCgS9kcz8rd6+a6gLyBxp6+xIyy2Mx0hVWFPWmmDjxo28+uqrfPzxx5x33nmcd955rF27dkjHcOXC8Xj8mqVdURSc3iAef4grF44f0nEIBIL0JF3LiYueVSOfdJCRAkFvJLP0f0/flYoWA2KdHVmM5PYLKfPMzZ8/n507d6bq8ADRqpUdq1lee+rkuNUsR6o2LxAMFwbrHuzJ+pqu5cRF5bGRTzrISIGgN5JZ+r+37xrqFgNinR1ZpEvl6sHgyMoajcOyY8b02orgSHO1CwTpxmDegz0t8OlQTjxe+5R0VTIFAsGRRzLD83r6rqEOAxTr7MhiJCvnKQuzHE4IV7tAkFoG8x7sKZQyYil2WAxUO304LIYhNeK8ubWKe/+7E5c3SIHNiMsb5N7/7iTDKA15yJFAIBAcSaQitFMweIzJstDqC8U8N1KU8yPeM5cII1mbFwiGA4N5D/Zmfe3NGjyYIdjLN1RgNek7eA01+9uaHQ3cee7MhEOORJi4QCAQ9I1khpAKUk86RNoMFkKZSwDhahcIUstg3oMDWeAHI/yzo+K1s6aVsVmmmNczTTpqXb6EQ45EmLhAkB4Io8rwI1mhneLap56RrJwLZS4BEt3siZtVIBgcBtOiNpAFPtkJ1Z0VL7NepqLJx4Q8OdoYt6/tU0Zy0rdAMFwQRpUjF3Ht04dk5l2m055f5MwlQCJ5MyO55KlAkGpSnbvWHcluXdA5N3De+CxUVKpbfN22TymrdvLAqnJuXLGFB1aVd1lz0rW9gkBwJCFy749c4l17RVH47Wvbu12304HeZMuRTLrt+YVnLkF60+aF9VsgGFwGq5LZQKymiYZ/JmrB65gbWN/qo7EtSKZJR4s3RFWLj7E5GTHtUxIZuwgTFwhSj8i9Tx+G2qPS+do3uH3sqGklrMCCiTlD4qmLVxW5p0ruwpvYM+m25xfKXJIQC7VAMHzoKMwrmtoospv6tSgnEv7ZUSgadPD+zjr+vbmKE6fkcvnC4phjRBSvQCjMpooWTHqZ/EwzBXaJSfm2LoK0O4Hy7IYD5GWaqWrxYtRJ1Lr8kJMx4pK+BYLhgjCqpAepUFI6X/vddR4kSSLHdthTBwNTBHpSUCNVka0mfUxVZKBbhS7dlJV0I932/Ed8mGWy3MgjueSpQDCS6Bwe0eQOsKOmlQa3L/qeRBflRMI/I0IxGA6zuUJbX7Iter465OoSlhEphf3VIRcmnQRAIKwya4w9GpLVcc1atb0Wf0hbdxrcPj7e28janbW8sbWaffVuihxmjHodiqoSDIXTKkRVIDiSEGXu04NUhLt2vvYNbj+oMCXfGn3PQBSB3kL+OlZFlmUZh8WA1aRn+YaKbr9ThOf3TLrt+Y9oz1wyLTQjueSpQDCS6GxxzGm3VO6u85Bn0yxtfVmUewv/jFjwPt3nwqSXMRt0qKqK2x+ObiIin48ohze8tBVFVXBYjMwaYyfPZkZRVbZXO6loaouuWbtqW/lkbzMzRgXZ29CGSS/jCYTR62TK69zYzHryM80U51pxWAxcf/q0AZ49gUDQH4a6kl46FWdIJ1LhUel87XNtJkZlmsjPPDyOgSgCvXnRal0+CmzGmM9EqiJ3h/Ak90y67fmPaGUumW7kkVzyVCAYSXQW5lPyrWw60EKD24+iqklflCNC0eULkmnSllx/SMFm1sfdRJQUOTh9ZmFcQer0hrDodWyvduH2hZAkCIQUPj/QzKj2Cpe+kMK4LAt6nczueg/5mWZhURUI0oDByvvtjMh36p5kKil9UZg7XvuOnrRkKAK9KaiFdjMubzDapxR6r4qcbspKupFue/6Rr8wtXw6BAFxwAeTkxLyUbAvNUC3UAoGgK4kK1s7CPD/TzLRCGzWtfqqdvqQvyhGhaNTJ+IJhJEnCH1I4arQ9ZhPRcfwmncQhp4/iXGuMIJVUlfJaNyaDjM2kwx9S0MvQ4g0TDKtkWvSMz85AJ0uY9DLu9jAQYVEVCNKTwfCgiXyn7kmWkjIQhTnZikA8BfVAg4eaVj83rthCboaBikYPoHnkWv1hPP4Q1546ecjGKBhcRr4yd8op8M9/asrcqafCpZfCZG0CJ9uNLMIaBEcS6TTf+yJY4wlznU7mznNnDsr4I0Lx2Q0H+GB3I9kZBuaMc2DU66KbiM7jb/WFkCWJQCjMjpo2nN4QdrOegy1eTDoZR4a2ZpkNOvxGPXZFZcGkXBwWAw1uHxsPtOAPKdjN+miuxqBaVF0usNsH7/sFgmFMd2vlYHnQ0q04QzqRLCVloApzMo3/nWXagQYPmw+2MG98liZPTHrGuv34gwp17gCFdnNMVeShGONII9283yO/AMr48XDbbfDKK1BUBD/9KVxzDaxfz9KZ+UlLSE63nhMCwWCSbvO9L0ntqehZV1Lk4O7zj+Hxy+dx8vQCQgoxx403/nE5GUiAzWRgZpGdkiI7Okmiwe2n2RNAVVV8wTCqqjI+2xJdv3KsJqYX2gCwt3/noP0+VYXnn4eLL4ZgMPnfLxAMc3paKwerGEe6FWdIN0qKHFx/+jTuv2g2158+rV9rYzoVCOks02pa/cwbn8WEPFt0Xs0ak8WpJYWsvekUXvrxwl4VOUHPrNxWi6IolFW7WF1WS1m1C0VRUtY3cuR75iJkZ8MPfwhXXAHvvAMPP0xJIMANZ57HK7Y5VAwwvEqENQiOJNJtvvfVEp0qi2N3x+1u/GvKmjhuYk70/BZlWdDrJNyBEDqdhN1sYEJuBhPybCydVRi1Nk/Is/GTkycP7m/0++Huu2H3bvjf/wWDoffPCARHGD2tlYPlQRP5ToNPqguExPP2Rgpc3bhii/DMDjLbq51UNLZhNujINOnxBcPsqGmlLRhOyXiOHGUugtEIZ58Ny5bBxo2Mff55rnthOZx/Ppx8EeT3b/MjwhoERxLpNt+HQrAmElba39DT7savokatvw1uH23+EI1uPzpZZvG0PEx6fTSaYEgV1JoauOkmGDcOnnwSLMLiLzjySOR+72mtHKx1S+Q7xTIYKQGpVJh7C/EbrHmVTqkVqcbpDSFJEmaDDmhPeQgpOL2hXj45OIz8MMvukCSYPx/+/GfNqux2a6FCv/kN7NjR568TYQ2CI4l0m++D3cMpkbDSgYSedjf+ueOyaPWFonlwOlmiMNOEUSfz0e4mgqHw0Mfob9oEV14Jp5+ueeaEIic4Akn0fu+4VkZ6Qb71ZTUVTW1MK7QO2rqVjFDCkcBgpQSkIlw/Qm/huf2Vhz31XU631IpUYzfrQSWa6uALhkFtfz4FHLnKXEfGj4df/QpefRWmTIFf/hJKS+H990FREvqKdGgImqwG6AJBb6TDfO/IYAvWRHJbBpL/0t34L19YjNMbZFuVC2N7E3GdTseSkgJOnVFAXqZ56DZpqgr/939w881w551ayLokDc2xBYI0I9H7PbJW7m9w8/n+ZpzeIAZZZlSmidVl9ZxWkp8SheBIYTCbhKdKYe4tX68/8rA3ZS0VzdbTmaNGO5hWaMNk0OH2hzEZdEwrtHHUaNGaIPXY7doG5dJL4d134amn4IEH4DvfgXPPhYyMbj+a6rCGdKusIxjZpHq+dzemwTp+ImGlAw097W78pYsm8suXtoAKmRY9R422k5+pNREfsrDWQAD+8ActauGpp2CMSJ4XjEwSDSVL9H6PrJW/fW07YQVybAam5FvJz9TkdHmtJ5rrJEg+6ZYSkAwSCaPsLE8ixv7u5vXKbbWEw0q0h6nNrGdUpimaBz+Y53E4hm9qYbZtzCyyx4TZpsqgLZS5eOj18I1vaH9bt2rV2p54As45By65BEaPjvuxVJZxTbeCFIKRz5FUtjgR4TmY+S/fmDkqdcn2dXVw443auvfUUyKsUjBi6YtRtC/3e0mRg/E5GSyYmIPcwZs9mErFcNwgDwapLlQyGPQ1Xy+Ref3VISeVTd7DPUyDYcpr3dGCHvHOY0Wjh2qX1suuv3NsuDoi0s2gLZS53jjmGO2vuloLMbr8cpg7F779bfja19ImzGgkWp8EgnQhEeGZzGa0nTdhKUu237wZbrlFi04QYZWCEU5fjKJ9vSeHUqkYrhtkSJ4SGvmerw45qWz2Mr3Qxvhca8oqeyZTue6rIpHIvHb5QiDRpaCHqz3fs/N8r2j0sKmihbnjsgY0x4azIyKdDNoiZy5RiorgF7+AN96A44+HP/5RU+j+/W/w+VI9urQrSCEQjCQSyUFIRt5ed3kLwNAm26sqrFgB//M/WlGoK68UipxgxNOX3mF9vd+HMs94uOY3JavIRsfvKSmyM63Axs4aNztqXCnJSxyM4iF9yddLZF47LPqY3qWRfx0WffR4Hed7tcvP3HFZTMy39TjHeqvlkE79+oYzwjPXVywWrY3Bt74Fn30GL74Ijzyi5dRddJGm9KUA0VdGIBhcErHCDcRSV1bt5LevbafJHSDHZozm1YC2OetLgv2ArMCBANx7L2zbprUdGDeuX79HIBhu9NV71pf7fSjDsoZrpE6yvDSdv2divo0cmwmHxZCS/MRUe58SCZEssJnIMOiocflx+YIxPUwjdJzvifSyS8RDPBLDYFOBUOb6iyTBccdpf5WV8NJLcNllWruDb39bC8UcQkv2QAWFiK8XCAaP3u6viNBrdPvJyTDgD4bZVNHCvPFZ5NpMfdqEDSjEqq5O6x9XWAhPP91j0SfB4HLLLbfw/vvvk5ubyxtvvJHq4RwRDLZRtD/Gnv7I5uG6QU6WEppuyuxQjKeneZJIiOQhpw9ZkihJsKBHInMsESVWOCKSgwizTAZjx2rtDN54A449Vuu9dNll8Npr4PcP2TD6WyZX9A8RCAaPRO6viNDLs5kIhFXMBh0mvczuek+fN2H9DrHaskULp1y8GO67TyhyKeb888/nH//4R6qHkRYMVdudVPYOi0d/ZXO6tY5JlGSli6Rb2slgj6e3eZJIiGRxrpVCuympYcOJhFCm2z03XBGeuWSSkaGFWl5wAXz6qRaC+de/wje/CRdeqFm705BUhwAIBOnMQL3WidxfVS1eDDpo84c40NSGxaAj12bA4w/32UoZzwrsD4VYtb2p+9/wyivw6KNwxx1wwgkJH0sweBx77LFUVlamehgpj9oY6mIe6VTUoL+yOd0q7SVKsrw06ebtGYzxdLwvK5raGJVp6nGeJBIiWe0MJRyGmsgcS9RDnE733HBFKHODgSzD17+u/VVUaIUEvvMdLSTz29+G2bPTqphAuoUkCATpQjI2koncXyadxPs76wkpKrIEbn8QlzfA5ILMPm9aOwvQBrePT/Y2k2nWd/0NuRb4f/9P88o9+SSMH5/wcQQjn8FWpBJRFI9kY+NAZPNw3CAnSwnty/cMhbEi2cp15/tyc0UzrrYgNrM+mmfd0zxJVhhub3Ms3ZTqkUxKlbkjIidg/Hi44Qa4+motDPOuu7QiKt/+NpxxBhiNqR4hY7Is7G9wxyS+jrKbYhJf+0KqLbmCoeFIuM7J2EgmIjibPAGcviBmvQ6LQYdelvGFwozLtvT5nHYWoNuqXEjAUaPt0ZAagLUfllHy1uOQlyfy4wRxGUxFKlFF8Ug2NqZz7ttgrf/JUkIT+Z6h9Pr2tYl3T6zcVouiKJRVu3D5gniDYRSdyu56T1SZ62meDJWSNVw9xMORlObMHVE5ARkZcPHF8PLLcM01sGoVnH02/O1vWtGBFDKt0Mqmihac3iA2ow6nN8imihamFVr7/F0i/+7I4Ei5zskom5xIbsH+pjaKHGaMBpmgomI0yORkGPjsQHOf84Q65yAEwgrHTsyOCnmAiYf2cPIfboQTTxT5cYJuScb87y7fLdHcznTLfxpK0jX3raf1f6jyG5NBqlo4DFR+bq92sqOmFV8wTKZJT6ZJT4PbT3WLN6F5MpR5av2t5SDoGyn1zKVLTsCQIstan7rjj4cDB7QqmN/+NixYoCl7c+YMeQhmea2HueOyqGn14/aFsFsMTCuwUV7rYVkfv+tIDok5kjhSrnMyLOMdrZPbq504vSHsZn10w1BS5EBCwmLQkWM1AeDxh6hsakOSpS4WYyDG0jmt0Ep5raeLhTdyHR5YVY7TG4yOZ/KHqzjq1WfZeMW1zPjBpQM+R4LhTU8eloHO/548H4l43MqqndS3+vhwdyPZGQZmjs7EpNcfMaFa6erZ6G79f3bDAdqCyrBpVp4qr+9A5afTG8IfDOP2h/CHFEx6mUyznrCqUu30JTRPhmMYrqB7RM5cKiku1sqAX301vPkm/P73YDBoSt3SpUNmLa9q8VKcZ2Vi/uGwSkVV+7WgHckhMUcSyb7O6RqymaxwlMhvqWhqY0xWBplmfcxGZ+44B2vL6wm6/IQUBV9QAVQm5dpiQiOf2XAAb4fN0v4GN69sqmTuuCyK86zR7zytJD+q4Jl0EoecPiY6jJzy+nJyd37Fcz+8nYsuEIVO0plf/vKXfPrppzQ3N7No0SKuvfZaLrrooqQeo7cws4HO/542rb0pih3HdvzkHMqqW/lodxMnTclNW+XgSKG79X9NWRPHTcxJSEnpbs0fDFnQ3XcOZRhrxzF8dcjJ7LGOmOP2RX5KqkqTJ4hRL2PQSfiDCoGQQklRJvdfNDvpYxekP0KZSwdsNrjkEk2J++wzzVv38MNw1lladczi4kE9fDIXtDFZFvbVu6NePptZz6hMU4yiKBj+JHPODHW1ur6Ma+W2Wlp9QapavDgsemYWOfptGe9pY3v8lFxW76gjrKigQjCsYNBJjMu20OD2sbvOg9MboMEdYNZoO4davLh8WiiNSS9T0+pnYr4Nh8VAs8fPX9fs4euTcylymGn1hbC7nZz17CN4LJmsufmPXHSs2AynO3/+858H/Ri9eQgG6hmKVGn9eK8rmo89KT+DqpYQPzhxQo+KYsexOSwGCu2H15wjZe6m69rY3fqvoiYUltvd7zqtJJ/VZfVJ/b09ncOhyh0rq3Zy/9vlNLj9+ENhmjwBPtzVyKJpeQnluHVGlSRybUb8YU2JMxo0z5yaRoX1BEOLUObSiY6NyGtqtHLhP/oRTJ2qKXonnaSFaSaZZC5o0wqtvLKpEqtJT6ZJh8sbpLrFyxlp3t9G0DeSOWfSMWSz4wagpMge00C1P2Mqq3byzvYaUCHTYmBKvpX8THPMRmfBhJyoEcTkDWCUJSqavOxtaMOklzHpZAIhhY0HmilyWMjKMFDj9OELhOgowqudPkKKGj2Pk2r2snD5/+PAiadz2p9/zeJBWEMEw5NEPOwDCccy6SQ27G0i06zl9fiCYT7Z28zCSTm9KooiyiM910bofv2fOy6LVl+oVyNfd79r+YYKZhbZk/p7ezqH158+bUjCWJ/dcIB9DR4yzXrsZgOKAodavGw80Mw3jhrVZ/npsOipc6qEwyqq2v6vrOKwHN7Sp2u0i2Bw6LMypygKbW1t2GzC09IfEr7BRo2Cn/4UfvhDWLMGli/XSohfcIHWty47O2ljSmZcfnmth3njs6KVMR0WA9ML+5d/J0hfkjln0nHTlsxNVEQxNOpkVFXFHwyzqaKFeeOzMOp1jMmydAl1rm/1selAC1UtXsZlaxshf1jFpJcJhlXcgRDZViMWo442fxh/SIker9ETINeqVcmdtH41c159jg2XXc3n44/mNKHIDTrDSUYOdiSFCnT2FUjtz0PPimI6V3IcKtJxbYTu138gISNfd7+r1uXDIKlsqXJFc8Fmj7FTlN33Ymy9HStyDocid2zzQSc2kw6zQQdAttWIqqo0egIJ57h1pMBmYrviAkBqv8OCikqBTcu5TlePrmDwSEiZu+GGG7jzzjuRZZkLL7wQt9vNFVdcwQ9/+MMBHXwocgKGkt4UtX7dYEYjnHmm9rdjhxaCef75mpfuootg1qykFExJ1oJW1eJlfK41pq1Bf/PvBOlNsuZMKjZtvd2rPW0A+mrxjJSRDisqFe0NwR0WPV8dcjEp38Ylx45l5bbamHOQn2lmWqGNBo+fYFgl06LnqNF21u9poNUXwhsIo6oqNqMet1fzzCmqSqsvhEEnMzpDx/z/e4JRO7ay+vrfcdBRyJgO51eQXAZLRg42gx1JEQirHDsxm70NbVFlsaQok0BY7fWzokdVeqctdLf+J2Lk627ND4cVPt7XjF4nYdRJBNsfLxzAHicdjAIqalTpipBh1KHXy/3KcVMBs16HzabHpJfxhxTcvlDUSJKuHt0jklAIDh3S0qlycgbtMAkpc7t378Zms/Haa6+xaNEibrjhBs4///wBC6qhyAkYKhJR1OLdYE1uP799bTvjczJ63xjOmAG/+Q384hfw2mtw221gt2tK3RlngMk0RL+2e9Jh4RSkhv6GdQz1pi2Re7W7eWzUSX02yGyvdlLR2IbZoGNcjoWGVs0am59pivlc53Og08mcMbMQg14XHUeh3QKql4Ci4vaHybIaKXKY8IYOVzH75ddysP/2dlRbJv+96V6aJNMRtwkeagZLRg4mZdVOlm+oAKDVF8QXDFFotzC90Mb63Y1xK6T2lch9tHBSbvS5zvdVd6RrJcehZDimLSRi5OtuzXf7Q8gS6GUJSZLQy6AoKjtr3f0eTzoYBeaOy+KTvU0gSYeVL3+YBZP6t7nvzUiSrh7dEYuqQlOTVqG+819NDeTnw5VXao6YQSIhZS4UChEMBlm9ejXf/e53MRgMSCLRMoZELCGdb7D6Vh/ltW6CisKCiTmJu8Ltdvjud+HSS2HDBs1b95e/wDnnwIUXwpgxg/dDeyEVC6eIDR9a4p1voN9hHUO9aUvkXu1uHmcY5D5bPJ3eEJIktYfY6LCZDDi9Qeztn400js0wyARCYaqdoW7DlkbZTRxq8TJ/fDbFedbouKLneft2uOl/qD7jNF6ccyZVLj9jsgxH3CZ4qBluMjJi0Gh0+xllNxEIq/hDCpPzraiofLC7kVNnFPTpXo63LgxUHhzp5dNHatpCd2v+O9trsJv1BMIqIUVFL0vYzXraguGkH2so59XlC4updvpo8gQ0o6BeZnxuBpcv7L64XSItQ7ozkqSTUX1E7c+8Xjh4EPbv1xS1iorDSpvBAOPHw4QJWtHC2bO1f8eO1SLsBpmElLlLLrmEU089lRkzZnDsscdSVVU1LPIBhpJELCGdb7Dd9R6QIM9miik/nrArXJbhhBO0v6oqrSH5lVfCUUdpBVMWLhyUgik9MdQLp4gNH1q6O9+Wfig5HRnKTVuiRR/izeMnP9xPjq1vTZTtZj2utiC+YDhqlUXVykt3PJddFLN2Oo5jQp6NbxxVGOM1id5fr78ODz0Et91G0cknc32Szpegd4abjIwYNPJsJnzBcDSXZ3e9B38wTHZG3+7lntbhVG+khzMjOW0h3prvsBho84exdyjk4fGHo4U9UqEYJOOYJUUOfrV0esLfM9CWIfFeP9jURsBu4sYVW7o9frLP77Dcn0W8bPv3w7592r+Rv6YmGDdOU9KKi7X+0BddpClwdntKh52QMnfFFVdwxRVXRB+PGTOGf/7zn4M2qOFIIpaQzjdYkzuAToYpBYeTe/vtCh8zBn7+c/jJT+Dtt+HRR+GPf9Qm2rnnDulEG8qNuYgNH1q6O9+f7GvktJLY0J90DetI1GoZbx73x+J51GgHGQZdTN5LcU4GNa3+hOZuvHHEWOVDIe1e//hjeOIJmDQpofMgSB7DTUZGDBpTCqxsPNACgFEn0eQOEAgrHD85Nvyrt3u5t4qBYi3uH+nkYRkKrlw4nofW7AY/WAwS3qBKIBzm6oUT+60YDESh6O2zA1F+9ta7u/3sQFuGdH7dpJNQVBWjXkeuTR/3HAyG4pXW+7NQSHOCdFbY9u8HvV5T0CZMgIkTNcfIhAlQVDTkDpJE6VGZe+qpp3r88Pe///2kDmY4k0g4SecbLMdmpMhuIs922EswkIU6urD4ixlzxe2cp29k0vsr4bzz4JRTNG/djBkD+6FphogNH1q6O98SUkIlqdOBvoZ+dRTYRp1ErcsPORkJh41px2tjZpEdXzBEWXUrX1Q60cngy8vod+NYQLMU3nwzWCxaxdvMzMQ/Kxgww1VGjsmysL/BTY1L63vl8gXRSVCUlcGUfCtuX4gNexsTLrrR34JBiW6GR1SoVh9Ih3yvoeTHi6cCWouCiBJ79cKJ/HjxVB5YVd4vxSCeQtHsSaxWQU/KCCSeWtBZUdpX7+aVTZXMG5/F+Fxrl88mo2VIx9cfWFUek3sd79xFCnWVVR/uCTnKbop5T1/vw7TYn7ndXZW1/fu1oiSFhYeVtrlz4Vvf0jxuWVlDN74k0aMy5/F4hmocw55Ewws73mCRG9zpDQ54oe5iVfGF+Ks3g9Krb6DkF7+AV1+FG2/UEjEvughOO21I4ngHmyPNcjlUdLdodzzfkWbWDW4/GQYdBxo9FOda+zWXh3Kz1pdQ4M73VasvhKKqBDvltvUmVE8ryedv7+9lf4MHq0nH18Znccjp57N9zSyYJCFJsOWgk6oWLzpZ4tevbOW7C4t7PgdlZXDTTXDWWZpHPk0thiOZ4SojOxbWyDDItHpDtAXDzBptoDjXwrMfH+xT0Y3u1mFTDwWDILHN8LAM1UoS6ZDvNdSMzc5gbHYGBp2PQruZsdkZQO+KQXcypPPnGtw+dtS0ElbotVZBT8dMxOsUGdOq7bUYdBJHjbYjSwZqWv1YTXpqXH4m5Nm6fDbZ+5pElKqOhboiPSF31LRG8xX7cx8O2f4sEhq5Zw/s3RurtLW1aQpaRGk780zt33HjRsQeOEKPytzPfvazoRrHiKCv4YXJXKh7XFhOnwbf/z5ccQV8+CH83//Bgw9q/erOPx9GjRq2ls8jzXI5FPS0aEfOd7PHz46aViRJwiDLTMyz4gmEuxTwSGQOpWKzlui9Gu++Ks614rAYuP70aQkdq6zayeqyevSyxJR8K0gS+xq9TMrLYEeNm40HmvEFwzS4A4QUBYMs8eaXNeyqc3PneUfFH+ebb8IDD8Ctt8Kpp/bptwuSx3CVkeW1HuaOy2Jfo4eKJi9mvY4xDhOHnD72bWpjcr4Vb1BJuOhGd+twT7m0kce9eVrSOlSrj/RHzg6HIjDJ2j+8ubWKe/+7E6tJT4HNiMsb5N7/7gR6Vgx6kiFdahXUeZAkiRyboddaBT0dMxHlMjImRVXwBlTe/qqWTLMOtz9MYaYRly8Y97PJ3tckolTFFuoCs0GHP6Tg9Iai56ev92GivyPh+dNRadu377DytnevZsycNEn7mzhRk4sTJmgOjDQuRpUsEsqZ8/v9vPzyy+zatQu/3x99/p577hm0gR0pJGuhTsidrdPB4sXa34EDsGIFXHopjdOOYuW4BThnzRl2ls8j0XI52PSW/1K6aCK/fW07YQVybAam5FvJzzRHhUWiSk4ix0v1dUxGmEjk9wXDKjaTLlrlsNETZMGkbFZtryMQUggpKlaDDrNRjz+kUF7r5tkNB/juwuLo/B6baeA7G16hcOtGePxxmDw5qb9X0D+Gm4yMNKmvbfUzIdeK2aBDVbV2FyFFpS0QZuHkvOj7eyu60VPBoNweCgYlcm+lRahWEiirdvLHlTtp8gQIhBR21baytbKFXy2d3mMYG5DWhta+GON627Qv31CB1aTvIAvk6PN3njuzW8WgJxnSWaFocPsxyLJmWGunu/nUkzLSuTcoxCpIHcdkkGUOOr3oZYlASEUnSVQ0+ZiQmxH3s/Hup2MnZLFyWy1Pfri/z/MgEaWqu0JddrN2//bnPkxkfxZ3/qzdy0+OyWa6p15T1Doqb5Kkyb1Jk2DKFPjGN7T/D2IPt+FAQsrcTTfdxKRJk/jwww+55ppreP3115kkkuzTij67s4uLtbDLn/6U9ff9L6evfA7TymcoP2kp+xYsBospLTbTiVhshoPlMl1I5Hz2tmiXFDkYn5PBgok5yB0sXv3dYKXzZq2v91Xn8zut0Mo722s0z1urtsm3WwxkZxhw+RRMej35mSaqW7zoJPCGFAJKEItBRxiV9XsaaQsqOCwGJko+Fjx4NzslHS0P/YXpk8cNyTkQ9M5wk5GRee3yBck0adsAf0jBZtaDqnLI6eXjvY0xuTMdKyrGoz8Fg3q7t97cWsX6PQ20ekPYLXpmj3UwtdAe877hElXyzIYDVDS2YTPryTRrBpuKxjae2XCAP5x/TNxN7f1vl6OoKsW51n4V7xiK85KoMS4Rpa/W5aPAFhv6lmnSUevy9agYPPnh/m5lSOfP5dpMjMo0kZ/Ze62C3pSRnhSkjnJNBSRAliAQVsjOMOAJhPCHFBRV7bbGQk/FSX776le0BcK0+kMU2s1cuXA8y46J35YqEaWqu0JdkVzZQQmZVFXeW7+Tksq9jGmuwXHoII6ag9gqD6DTyXDs0ZqXraPSlp19RHja+kpCylxFRQV/+ctfWLNmDd/61rc4++yzueyyywZ7bII+0G+3fEYGa2edRPnxpzFqTxlTP3ibY956kQNzFvLRnJOhj16WZHIk50oMBomez0QW7WQu7KnIe0x0o5PIfRX5rq8OOals9jK90Mb4XGs0yV2WoKUtiCxJeINh3L4Qbl+IUXbtGkzMyWB3rRu9DnSyjKqCyxfCatTR6g8RDiu0fr6Zs/71CF8ccwJfLvs2Ew54mZ66W1PQieEmIyPz2qiT8QXDSJKEP6Rw1Gg7Vc1tuLwhbKYgmSYdTm+QQy1evnFU3xtV93b/9PRaJOTOpJPx6SQ8/jAf7mqgzR8i22bmkmPHDrmMGIiCtPlgCzaTLiaMDVVl88EWIL5StNmtGYCOGZsVfS7y3sGq4NhXEjXGdf59gVCYvfVubnhpK6fP1HoSFtrNuLzBqEcOoNUfptCuff+Kzyt46fMqfEEFs0Gm1efnN+cc3asMGUitgu6Mxb0pSB3HFFZVRmebqW/1gwrZVhOT8qxUNHupdvp6jSjqfO7qXF62V7sw63VMzMuICUftSaHr6dp3LNTV8bxEvMP92WN2nIcTJR+GrTv49M0D5GZ4KGiohj17+EZtK23jJuAqGoezaBwV8xbSPGoc+xQT9188p9vvFsSSkDKn12tvs9vtlJeXk5eXR2Nj46AOTNA3BhJuGFl05KlHUTf1KMyuZkavfYeLXngQvviPVjDl9NOHPFk0ncPvhiOJns9EFu1kxvQP9LviecM69mHrHKoUqUg5Liej141Ob/dVR2Hl8mr5Dztr3djM+miSe6PbjyxJGPUyOlnCHwojSzIGvUzpook8s+EAJoNMMKQgSSqoKqoKwbCC3aAnb9VbnLvhVf591vf4YtJs/PVteMJqn8+zYPAYbjIyMq+f3XCAD3Y3kp1hYM44B0a9jlpXgHnjHLSFVNy+EAadhNkg8/B7eyiv9fRJgent/unptY4hd1aTnqa2AG6fSnm9hyfPKqGkyNHvCof9YaAKkoRE57tWbX8e4itF/lA4+nqERKIWhlJ2JmqM6/j76lt9bKpoaS+Zr0TP5ZIZeTz78UFA88i1+sN4/CGuPXUyd73+JcvXV6CTJUw6CIQUlq+vAOCi+eMTliHJTM3oSUFaOquQ+98uZ7PbT53Lh4REplnPwsm50bSEGUWOhNISqlq8GHTw8V6t0uTBpjZ0kgQSyLIcE47anTKXyG/pS7uDbs9bc3M0NLLx7U/5buUB8uurQFFwFo2jLm80n1knsuxHZ8OkSby+sQFnp0rYTm+QMR0eC3on4abhTqeTn//851x99dW0tbVx3XXXDfbYBH2kv+GGnTfTtQYb5Secw7T/+Rns+VJrRv7AA3DOOXDBBVpH+yGgqsWLXobt1a6o239SXgZuf2hIjj/SSNSCmsiinejCnmiYbH+Fa+cN1v4GzRs2d1wWxXnWuKFK68rrafWFGOUwIUuGXjc6Pd1XHTdNbn8Ye3v41O46D25fiEyTjmqnwthsC81tQUIKWIx6TispIKRo3x0Iq5w4JZf1e5oIhBQkScZmlLBICj/58EUmVO3m71fcQkNuEWa0cDiXT9wD6cRwlJElRQ7ubg/vi9x7DouBcbkWZoyyI0sSDW4fGw+0YDHoCIbVfnl41pXXsWLjQZo9QXQyvFtWw6klo6JrQXff0zHkzmrSYzXpURSFOncg+pnBCNHubs0aqII0d5yDDXubkCQpmpPk9odZOEnL9YmnFJn0ui7fk0jUwlCGrnfeP3xZ2cKXVS4MOokNexuj4X8df9/ueg+KolLjCRBWVcqqXYyym2gLqNx85nSWb6ig1qVVs7z21MksO2YM//OvLzVFTq8pLiZZWwtf+ryK35xzdJ9kyFClZiiqpr7bLQaaPUECIQUV7T7qi8HSpJPYsLeJTLOeTJOeQEgBwKg/7MGMhKMOhN7OS8zrLpeWw/bRnsN5bXv3av3bJk2CyZPZn5mPtGwBn44Zjy8zCySt312108eyY2cDsPRovShilwQSUuYuuugiAI477jjWrFkzqAMSDD09bqbHLIJFi6CyEl55Bb73PSgp0bx1J544qOXQjTqJT/Y2YTPrsZl0+IPh9lLuqU10HS45Gp3pSzhjIsKut/f0xZLdX+HaeYNV42ov+dzqZ2K+LW6oUjCs4vEHeOmzSpDApJeZPcZOUbY17jF6ut4dN002sx5/e/K4yxck06x566wmPXpZZlx2hpZcbtBhNhxO8teui55zZpvYXefB5QuS72nhmrceZ6/Bzi/P+gWyaiPfH0Qny/gCIQKhMDeu2DKs5t9IZjjLyM733gOryg9vuus80c1zpkXfZwXm8bW7eGjNbnSSRDAUxg9sO9RKg9vfpfhHZwrtZupbfQRCCv6QgkkvY9TL0ZA7SH6Idk9r1kAVpO8uLKbG5afB7cflC2LS65iYZ+W7C4uB+BEKeTYTiqr2uX3RUIaud9w/fLKvke2HXORkGMjPNMWE/3X8ffWtPprdAZAkxmabY8rgX3/6tLjeJV9QwdRJtzXI2vORcaTTOrhyWy3Fudao3Klv9fHVIRdbDro4fWZhn7yBkZy7CAadFFXoInQMR00qbvdhZW1PB8XN6z1ciGTyZK2w3qRJkJcXzWmr77CWRMfZaR6KInbJISFl7uGHH477/HAtyyzoSq8L4dixcN11Wj+r1avhqafgvvs0T91550FubtLHJEE3YSmpI5mVu/r73v4y1G0chiLUp/MGSyvooMPdwXPVOVTJ5Q1Q1xpEAixGmWBY4eN9zSyMk1Td8XobdPD+zjr+vbmKE6fkcvnC4phN05R8K5sqWvCHFOztjZarW7xMK7BR7fRFq4MV52TEnPfIdXFYDBw3MYfML7/g+OcfYMPXl/LG7CVkBcO4vCEqmrwUZJrwBMPISHxV5YxbEU8w9IwEGfnm1iqWb6igsqkNf0hh1uhMnN4AJp2MP6xy1Gg70DcFZvmGCow6Hf5gCBXQSRBWocEdiCn+EY8lM/J4aM1ujDodFoOWM9fcFuDbgxTuDT2vWQNVkEqKHNx4xrRu1/m4m9ozpkWP35eNbrJD13uTR5H9w8WPb2B0liVuNcqXfrww+vtafSH0OpmiLDMZxsMFeJzeULfHNhtkfIEwsqygqFoxEUVRMRt1/RrzYNNZNuVnmlk0zUS109fnis+BsMqxE7PZ29CG2xeiyGGOyhRFUWLCUbuj1/PT1na4zH9Hxa21VStCElHcjj9e+39BQa+FSBKdh+mmiA9HElLmMjIOl0/1+/28//77aV2pSzCIGI1ak+KzzoKdO7UQzAsvhIULtX/nzk1apSF/WGXBpGz21rdFq6rNHJ2JP4X5Qsms3NWf9w6EobaADUWoT+cNlt1swOkNYu8hVKnREwBAJ4MkSehlCIVUNla0dPF2HW4rEGZzhROTXibbouerQy6eWLeP00ryWV1WD0CuzcS0AhvltW4cGQYm5ts4akwma3Y04PKFkCQYn21hYr4t/ibuyxoKX/8XJ6x/izcvv5a6kjkcFQqzqaKFUQ4zqqpS2ewlEFYocpjjVsQTpIbhLiM79vcak2WmwRNg80EnNqOOfLuZeeMd0ep/fVFgnN4gdpMOt19FkrT7TSerhFWwmXTR4h/xaAuoHFucza56Dx5/GKtJx+x8O22Bw+t/X9a0gVby/cGJEwasOPYpjK2dN7dWsWFvI7UuHxV2M9MKrQlFTSQrdL0v8qinapQdf99Xh5xUNnmRJQlVVaOGLhm122MvmZHHq1tqkcIqOgmC2kdYMiMvZcXSeppTg1EkbOGkw0bzLRVNlNd7qHMHYsJRuxtn5PyMM4N+5w4+XLWS7EwvoxoOaYpbc7OmtEU8bfPna/+OGtXvCCzhdRs6ElLmrrrqqpjHP/jBD/jBD34wKAMSDCOmT4df/xp+/nOtifEf/qDd9BdeCMuWgTV+2FqijMmysL/BHfNcmz/ca4nswaS/lbt68koNZbL6UFrAhiLUp7Plb5TdxKF2b1ik5HPnUKVgWEUvg0EnE1a0giM6nUSwXUmKF1r16T4XJr0c04/LYTFQXuuJEVYT821cfcpkSoocUQE6s8jOgok5MdXBuoSZOgyUvPc0tFTCGyvY+2EdRWY9smRg3vgsdtd7aPUG8QRCjM+2kGM1AV0r4glSw3CXkZ37exVkmjHpdRhkiUn5Nox6Xbcl1HvCYTHQ5g8DktbwVwJFBb0sxRT/iEdVi5djxmUzZ/zhsPp4/e4SWdOSUck3FRvTnppo91boIlmh693Jo4gnN5LbduXC8b1Wo4zQXRn8mlZ/t8eekGdn5ig3u+raCKkqelliakEGE/LsvY55MLx2vc2pwS4Slm0zRwsBdUFVob5e6ye8fz/1qz7nW/v3Y62pwtLaQnNeEe4x49k6eTKjzj9fU+DGjBmUtBnhdRsaElLmOuP1eqmpqUn2WATDFZsNLrkELr4YNm3SmpE/+qhWAfPCC2Fa15CCeIKgs3CaVmjllU2VWE36AZfIThYRBbPG5e+xB1NfvFLp3GdtIAxFWGfnDdaEPBvfOKowpppl51Als0FGUsGeoQl8lzdIOKRgNuiQJSluaFW8flwd+xjFE1YJK+kVFVrPx1mz4MknwWhkTFYr++rdMZudqQU26t1+LMbYZbvjpjjdQo2OVIabjOzOo1LnDgxIgbly4XgeWrMbGQipWlgcKuRaDTHFP+KRTGNQsir5DvXGtKcm2v2tWtgbicijN7dWcdfr2wkpWtrDHp+bu17fzrJjRrFquxap0LkaZUe6K4Nvb19Xuzv2kplFnH7UYQNAR+W+uzEP1GvX34I4yVT+u/2uHDOUl2tKW7viFvm/W9Kzz5pHpaOATdipmXICbSeNwZ1bgE+R8AcVxuZY+MbiY/s8HkH6kZAyd84550T/rygKTU1NXHPNNYM2KEFipN3GTZLga1/T/hoa4D//gV/8QnPTX3QRLFkCRmPC1sbyWg9zx2VFN7R2i6E9jM3DstT8woQVzEQ3ImXVTiqa2thc0UyezcSUAit5NvOg91kbCobKkh1vgxVvfkTeM7Ugg4fW7MbjD2MxaP21worKnHHa6w1uH7tq3dS2+jlhci61Ln/cfly9XaOElPR16+B3v4Orr4ZvfSsaotxxngVDIfY2tLIxpGIxyNS4fBQ5LF0q4om+jKljuMvI3jwqDa0+th9y8dUhJ/WtPi5fWJzQnPrx4qkA/P2DfTR5gsgSZGcYKLBbyLOZosU/4hFPsTrQ6GG0w9zn4j/JrOQ7lNS6fNiMMpXNbdEiMFkWfUJVC/u7P0hEdv3t/b14gwoWg9ZuxRdUaGkL8a9Nhzhhci4Hmrw9hv+VFDk4rSS/i0G3vNbT7ybz3b02kMiXsmon979dToPbjz8UZldtK9uqnNx4xrSE5lRSlP92L1tJ5QFKWvZrytq6A/CX/dDYqNUzKC6GCRPg61+HSy5hpymLxzY34rAYyDTree2zg7QFwkzIyiBDp8esE1WRRxoJKXOPPfbY4Q/o9eTm5kb76ghSQ9pv3PLy4Ic/hO9/Hz74QPPW/fnPcO65vNZWjNWU1au1sarFS3GelYn5h71e8cJskklvAjBRBTPRZtNPrNvHqEwTrjatVPHn+5uZMSoTWZZFad5BIrLBXL6hAqc3iFEvM2OUja8V50ZLsQMUZpqi4WVjssxsO9Qa04+rNy9jj5siRYG//x1efVW7L44+Ouaz5bUe5o3P4qtDLg40+TDoJOxmHYoKTl8IiyGAxaiLqYg30HDdRLzlgvgMdxl55cLxUYNaR4/Kt+YWcf/b5exr8GAz6ZDQKgxXO30JF93ZfsiJsy2EogIqmI06Tp5eEO3/+MCq8oQKghh1ErIkYdDryLHp+yTzOt6L9a0+dtd7aHIHyLEZKat2xnw+ncLC7CY9+xvbyDDqMOpkQmGViiYfE3IzevzcQPYHiciuyuY2zAYZvU4mEFLwBsNIEviCYQrsFkwGfY/HKqt2srqsPiYEfXVZfUwOcmcFvrbVT2Wzl+mFNsbnWhNuQP/kh/vj9O8LsWp7U6+K7rMbDrCvwUOmWY/dbMAfUtjX4OHZDQeSn0bg92tRGhHvWgcvG2bzYYWtuBgWLND+P3o06Lq2r3irU/9Fa3s18DqXn+JcHf6QgqqqOCzDZ40S9EyPV7KlpQUAa6fcJ7dby2PKysoalEEJemfYNNTW6eDkk7W/igr4178o/ccd1I6dzCdfO5Wdk49BleW4PVKGsrwyJCYAE1UwE7HwdryGNrM+usGodvm589yZ6XUd+0E6GxzGZmcwNjsDg86H3aQHJJzeILtqD+doTinQWhsU51pxWAxcu2RqTD+u3vrqmXQSh5w+inOtMRuM78yww/XXa6Wdn30WcrqGmlW1eBmfa+WzA804LAbMBhlVVQmEVawmHY2eALmSCbvFyPnzRlNS5Ii7aUk0XHcguTlHMsNZRnY2XH336+NYs6Mhpr9Xea2HBrefTLNey88EkCSqmr389rXtjM/J6HEz/PMXPteKVgD69kqWB5t97G9wAYV9Wh9213sospv6JfMiCkqT2095rRskrQBSkd2UNmtSPMZmW9jX6CGsqMgShBUVFZWx2T3LwIHsDxKRXYZ2xdKgA28wjCxJhFUVnSxT5/Ly+YFm3t1Ry/RR9rhGoe7G1zkHuaMCX1JkJ8OgY2eNm7ZgmJlFjoQa0I/JssSErOtkaHIHyMs09TrvNh90YjPponM/rKi4/UHe+LKGs48eFXd979UI29YG+/bFVow8cECLZhoz5rDC1u5lo7gY7Paev7MTnb2GeZlmdLJEc1uQVn8Iu9nAhNyMLukhaRftJUiYHpW5888/H6m92lB1dTX29gnlcrkoKiri3XffHZJBCroyLPOsxo+H66/nT4Z5TP1iPad+9DrnvvMcn8w9mXenfZ3CvNj2BulYSj+Zvdo6XsP8TDP5meZoQ82RsICmq8Ghs+LS6g9T3+wl32aittVPYaaJKQW2aPW+3nLjInRWXlt9IWRJIhAKU+3U5sjlOT4m3/QzrSfPdddBN96byDzz+ENYjYc3EnK79VtC4tzZo6MW7Un5tgEZP1KRmzMSGGwZuW7dOu6++24UReGiiy6itLQ0GcOOztVcOcyST1fjlvQ0ySb+uHAqExYWaZtHu4W1X1XjD4Wxmw/PqVBYodblwxsMacV3Kpp5+6uauOF0b31Zh4TWFwtARuvz+NaXdUzIs/datKLj/fRFRQvOtgA2s548W+y92RsRBeW3r20nqCgxIe1ObzDla1J3WM0Gjh5t58tDLpw+Lczy6NF2rB2uRzwGuj/oba07bkI268obkCSJcFgrbBNWVBwWHR/ubkQvSxhkuVujUE/j63jsB1aVY9TronNjYr6NHJum0Hcu79/dmDunRuxraMMXCnPMWEeXHOnOn1dRo/nIHn+IaqcPifYCWnpdl/U9RulVFK0/b1kZ7N5N49bttGwtQ25uwjd6HHmzS8ifc5SWljJxYrdetv7QWYGVJPAGFMZkWVg0LT+mGFeEdDa+CnqnR2UuIohuu+02Tj/9dBYvXgzA2rVrh11j1JHGUHutkslli6ZwryfMJ7NOYEbTQeZ9/i63fngbmUsWwxcWmD0bJCnh/IVkWZMSEYDJVDCH8zVMhHQ1OHSnuDS2BfnmnDH9viZxldecjMMbjzffhPsegF/9Cr7xjS6f7ziPjTqJWpcfk17GF1Qw6CRCCsiSiqJKZFq6FmsZyNzsWADD4w/R3BbAH1Sodnq7hKEJDjOYMjIcDnPXXXfx1FNPUVhYyIUXXsipp57KlClTBjzuyFy1yzKGYIBR7nrkg3V89N4qvvC3kRXyMcWscL3bTXNQpc1sJWCx4jVnUKsacBkstJmtGLMdBK02mmQz7+7ZSsk35zJp0miw2ylzKwQVFQkIKSoyIMsSOkl73N368NUhJw+sKmfV9loMOomjRtuRJQM57R7j3XWeqDLX1/XS7QtFFcuOx0z1mtQdRp1EXWuAyfm2aI5sXWsgJjIkHoMtW65dMpUGd4D9jR7CqoJOkinINOEPKxh0MnoZ9Do5evzORqFEx5cMGRIJWY8ULUPSiqU0tgV7/c6547JYV95AwOWj1RdCRcUg6yjOzYhd30+bCocOwbZPYUUZbN+uKXEOB8yYQXXBOF4pnEPgh99CGTOG1oCC0xscNEWpswLb6g8TDIcZk6X1p+suUigcVthe7YoW3RqVaUpbQ4cgloQCZrds2cLvf//76OPFixdz//33D9qgBL0z1F6rZBJZ1JdvqGBz5mgOnfdDCo++iXkHNsNdd2m97C68EM46q8/ekIFYkxIRMMlMkB/O1zAROlsHI8Kht43IYBOvcl+T28fOmlY27m9CkmBagZUlM4v6dE2623jUNLiou/UOnOvWs+Lb12ORJrC0k4IUz6unqCrTCm1sqnAiSToKM41UtvhAhdljHDHHiFi0+zs3IwUw9LJCtdOHXtbCh016WVhnE2AwZOTWrVspLi5m3LhxACxbtow1a9YkRZmLzNWwZODLZZewcX8jnxQ0AZBnM9LSFsQfUrEaZazhAI6QjwnGMFZfGy21jdgCXsbogjgUP9lNNRR7PUhuN96d74IN3A3NZBxq4GVfGLcxA4/RgtuUgduUgdNkxWO2cawyiZ1eiXK/TINsJmy3Y83PpV5nYWx2BoqqgCqzqaKFeeOzmJJvZdOBFhrc/j63SYjcXwadBKpWzGjjgRa+VpyFQadLWwOahFattiNq+/Md6WzQnFZo7ZJ7lkzZUlLk4M7zjmLltlq2Vzs52OhlWqGN98vrMBt0hBTIz9TW2HgpFInKvmQopZGQ9UhI4cd7G/EGQrg7FP/o7jtPmJLLmrJaworWUkMCFCXMLNnDuM0bOKZiD+ZdO+Geei2vbeZM7e/KK6GkBNrDrF9cVR79HTLgsGgeuMFSlDorsA6LAZtJ5otKJwadHLdfYaT3n8kgY2vPsSuv1UJaBelPQk0lCgoK+Nvf/kZlZSWVlZU8+uijFBQUDPbYBD0Q2bg5LAaqnT4cFsOw2nAtO2YML/14IWtvOoWXfryQM46fAd/5DvzrX/DLX8Knn8LZZ8O998Lu3d1+T0dvSMRT4bAYWLmtts9jWjqrEKdXK0QS6UvWORQhmQz3a9gb0wqtbD7YgssbxGrUQm42H2xhWuHA+g/2hbJqzcp/44otPLCqnLJqJ4V2M63+wwJqf6ObOncQFTDrJVChrMbDf788lNA1iRxj+yEX68rrqW89vHFRamq45Im72PblPl667m5M06ZEDQ5l1c7o+57ZcIC99W4+3dfEJ/uaCITCZJr0BMJwzFgHJoNMU1sQm1nP3PEOpo06nEPRcSNSUuTg+tOncf9Fs7n+9Gl9KiEfCSPSyRBSNO/J/OLsft9PRxKDISNra2sZNWpU9HFhYSG1tV2vQ8QDGAqFKC0t5a233gLA5/NRWlrKO++8A2h5fKWlpbz77ruMybLQ2NTMqid+R2XZRrZUOpEDbjI/fwpf1Q78YRXJ50S34UkM/hoqTQ62Kjo2bF/FwbEFbJp7EhuOns9T7kpemnMCy5f9iOVnfofrrBaeuPI6vnHWbZyz7HqunTaNXy2+lP+36HKenzqfj0ON7MrMYvKkAqTK3Rjfeoqvb1rN5Z+9zk/+9Weuvvd7PPhAKT+4/SruePQX/OS+y/npiv/HvCcfZOEz93PaP29i6dZVZK57l6y1r6B78feMbq0Fn493332X0tLSaL7iO++8Q2lpKT6fj5Xbamnd9Slt7z6KL6ht4kP7PuO9f9wdXeP//e9/89Of/jR6XlesWMF1110XffzCCy9w/fXXRx8/88wz3HTTTdHHTz/9NLfcckv08T/+8Q9uv/326OPHHnuMO++8M/r44Ycf5u67744+fvDBB7nvvvuij//0pz+x7e3nWTApG7NBx6F1/4d742ssmJSNP6xy99138/DDD0cV1bUv/o36T9/A6Q2yuqwe5wfPULH+9ahsCXz8LJ+8/e/o9990000888wz0cfXX389L7zwQvTxddddx4oVK6KPf/rTn/Lvfx/+/N23/JI9G9fisBiZM9ZG2ct/wli9lbACo6wyLasewb1nI63+MPlmNTr3AIosKvX//Sut+7dS7fRhDHmo/+9fad73FQA1NTWUlpYyNlSpVYw+VMWqJ37HF5s28vGeRjZt38lZF13Oq++uB2D37t2Ulpby1Vfa53fu3ElpaSk7d+5kTJaFg3vKWfXE72ipOciUAistVXtoeedhWuqqcHqDHCjfxsbn7qOyshKATz75hNLSUjbvrOCkMRks2reO7/znN9y++jH++dJvufhPv0T/93tx+QNUnXEe6669ltKxY3HfcQdcdRXvtLZS+qtf4fNpsmDjR+/y6TP3ooS1ubdn41o+febeqDewP3PvJ9deH5VtP/z1/Vxz/Y3R1z968yUq1yzn65Ny+cbMUXi3/pc9by/H4w9RYDNSvf7f3PW7u3lza1V07u1d8zxIWu/Sxo9fwf35f0ACly/Efffdx4MPPnj42rfPvQh33nlnTBGo22+/nX/84x/Rx7fccgtPP/100uZeaWkpr7/+OtC3dQ+0POfS0lLWrVsHQENDA6Wlpaxfr82lyNz75JNPAKisrKS0tJSNGzcCsH//fkpLS9myZQvQ89wD+OqrrygtLWV3+z52y5YtlJaWsn//fgA2btxIaWlpl7kXaW2zfv16SktLaWhooCcS8sz96U9/4uGHH+ZnP/sZAPPnz+dPf/pTIh8VDCLpVHWrrzy+dle0mqDDYuDKheO1KoOSBMcdp/3V1WntDa69Viu/e+GFcMopmueunWSG8iXi2Uh2XPlwvoa9Ec86OL1w8FpLdGeddlgM6GV4f2cd/95cxfhsM81tASBiNdb+b5RBlmUMOgUlrLK/sfc51LF0dVsgSEtbiEZ3gBOn5jJ5XxknPfMXvly8jK+WnIcjQ5u38XKDPtzdSLZFH7WIrt/dAJKETpaYWmBlX1jF7Q9R5DDjCYSjDdCTZXGPeMt/+9p2fMEwNrOBBROzmVpoH/QKsiOB4SYjl84q5JGVtYQUFVUFb1BBD8iShCeotIdE0m7g0GEx6AgGoSDDyLK5o3m9yoDbGQZVK3FOSGGMzYRTUVi+/gDNxgKUsIKk0+POsFOXWYReB/tbdnLsmadz6bXnce5dz1HT3IJu3vkELbkYmvfj//JtTPMv4LvHTady40dUvP8Go486AUtYYoL3IAZF4VvZfsYH93No9w4qv/qKjGuuAY+HeS4X+S4X/pp6dpOB19nCcc011D34N3LrFWY7q8lwNTPW4GKH34Q7FEKF6Nq9I7WXJC42kx6TXs/XJ+Xy6ZcZ6A1GTHo9BZkG2trfEzFoGvUyknR4fTnoC7F0Th4/vGg2ALe823OeXV8oq3ZS7fRiCoSZ6DDj9PhQVJWTp+fxSVBHSFFAhbZAmJA/xI8Wj+XtL/t+nPE5VmbNmciKda14AiH8LV5mHWMjSwlTq6i89sUhppU46emXLZ1VyJ+++oqQoqKoKgadjtEOM40mPfWtAaYWGDjnmCJWluu0PLe9e8lat44zN29m3JbdFHmcVGXa2SSF2TZzPqsmHc2B5kMY9m9g2vHLuGbpMVSXbezxd+RkGKlTYn2sIUXtW4iwPxSt/Hroy2pqalsZ5Q1S5DBTEwxTWe+JhsTbzXoanUr0szUuP5IkYTPpkWUZk16HopNjwl+NOi331xcMo6oqYUVFH6l42ZLwMAUpQlJVtbMXPy2orKxkyZIlrFmzhrFjR0bY2ZFCbyXOH1+7i4fW7Mao02ExSHiDKoFwmJ8vmRItGx9DKKT143r5Zc1Ld955cP75UFTEAx3CFyJEHndOkE4GQ3284cyNK7ZQ5DAjS7FNXqudPu5v32Aki45KdkTJ+XhvI9MKbNjMejZVtGDSaxUhJUnCpJdpC4Rp9Yc40NiGQdJKpofCWp4Pqtbk+HvHT+BgUxuFdhOBsNolJ/PXr2xlw94mMs16QmEtRNHtC3JJ2Xtcvm89hnvu5hF3To/n4YFV5by/sw4gWjVtf4OnvaCAnnp3AKNOjubL6XUSc8dlYTUbokprxybpA6lAJuZ3+rB582YefvhhnnzySQAef/xxAH784x8DA5eRHY0fK7dVIwF2i4Eapw9J0tpbacqBEUUJ0xZUGJdtRS9LHD8lm/W7mwkpKjlWA6PsZnQ6md21rTS4fdS2BpBAq8DYvsNYNDWP2eOyo/No8f97jwKbEVk+HCB0sMlDqy/EVSdOArSej9uqXATCCt+YOar7ua2q4POxa2cFL7/7FfkhL9nBNmhqRm1pwe5zY/W6sfs8mDwuTO5WdK0uVIuFcROLIDtbC4nr/Nf5eZtN03LjnMPBqP5XVu3kt69+xf5GD75gGLNBx4RcK3eed1T0OIOxzvb2u3paJ6YVWnttcRJvvY7kkAFxjz2QtSnu7xll1/LcduzQ8tu2b9f+srK0VjGzZrG8NZMDOaPJzNRaQdS3+vjqkItgWOX0mYUJX++efm9/Pr+uvB63L8SCSTnRQl0dz0Xn9z/90T6MepkihwWrSfPhKIpCnTvA2ptOAbRrur/BHTW+2s0GRtlNTMizibV/GNCjZ+7uu+/m17/+NT/5yU/ivt7RrSoQQGIlzpdvqMCo02E1aRtXqwnwa8/HVeb0ejj1VO3vwAEtFPO734XZs/nWyUv5iycPGJq8s754Ao/0Mr9DWeAlXvGRYFihxuWDVglFUal3+wkEFZDghMm5USE167cr8QXC+EMKwfBh25ZBJxEMh9nXoJVnXzQtv4snNlK6Oqyo1Lj82EM+rl/3DA6Pk2eu/h2XzpnHmG21PZ6HqhYvM0dnsrlCC7s06WUCYYVQWKHVB0adjMkgo6oQCCtkZRhpbAvy6OXzk+4pHul5nMlmMGXk0Ucfzf79+zl48CCFhYW8+eabSfX2dYwKmFqQwUNrduPxh5ElLcxWAjKMOlRVxRPQivDkWA24fCHW72nm2iWTuxgRfvLsJlr9ofacS+04kX/fL2/g/fIGtlQ08vQPFsZtVG7UydEejplmPQadjkn5tt7nsySBxcIb9RL+KdNptRhobX/J6Q0SCIXxBpWYzbTL4+fHX8sHswotLV3/9u+PfdzcrJWVdzggO5tmYwbVLjjG4eAYhwOX3syGlWYyjptMcXEhZGZqfzab9q+h756xvfVuDjR6CCtg1OkIK3Cg0cPeene/KiwnQqIterqTg4mE0XdX6fjZDQdoa79OnY8d75iJ9osrKcykJOiEHfthexm8skNT4iwWLbdtxgy49FI46ihNgW/nuGonX6zbh9I+H436BOdj5+MPMNe+8/kKhBVsJh276z1dqi7HO16mxYBRlqKKHECrP0yh/fD51Nb+NkqK7DFr/2ClmQiSS4/K3HnnnQfAVVddNSSDEQx/Eilx7vQGsZtiS/BaDFqfr14pLtZy6n76U3jnHSaseIY76xr5aPbJfFSykJyxhf0uSJIIiQpOUeZ3aBWDeII+12qkyRNEURVa2oIYdDKyDBISWw628GWVk6oWL6MdJsrr2pDaFbmIOjcpL4PddVqz5GBYjVvGOlK6urktwBhXHTf89zG+HDOdR077PkuLRiVUZTIyp75WnMXuOg8uXxCjTsZu0lPT6kdCxR+SMehkzEYdMio7a1zcuGILFU1tjMrsX++teCSzwM+RwGDKSL1ez29+8xt++MMfEg6HueCCC5g6NY6xa4BEQt6DYRVfQFuDJQlyrQYUBTzBEKqqVQCUJEkL4fIEKK/1dLHYF9rNHGrxYtTJKIqKN9Q18Of9XU18/Q+rmDc+mwMNWn5bpOJeWIXSRRNoC6j9mn/dKRnVzlDceT098r3jx0ff36MRLhQCpxNaWnhr5RZCTc3kBjyYPK1ke904XNXU/2s7xXlGcLuhtfXwn15/WMHrqOTFe6793zffKGccRow5dsJ67d52eoMx8jTZ6+xAWvR4fMGE+lV2d53WlDUxtcBKWbUrxju0clstY7IsMZ4jvSTR1BYgz9apX9yJxZT4mzVlLfK3c2e0siQzZsDll2v/xunx2ZFkrod7691s2NtIrcsXtwBJT3Q+X3azIeEiLgBzxjrYeKBZM5K032sef4hrT50c81tPK8nv4lUVa//woEdlbtasWQAcd9xx0eecTifV1dXMmDFjwAcfrB46gtQRr1Jg52pWDouBNn9Y88i14w2qMYKhV8xmOPdcOPdc6tZ+guPJ57jyrV/SMnM2lssugnNOjwmHSRaJCs6+9lgbiV68oVQMOm4udtW6+KLSSbOnPRdOJ0fLkYcVyM7QU+vyk2HUUeQws6vWgN2koy0Yjnokcq0GsjJMmmIlS9jMehrcPnbXeXB6A8iSzNJZhdHS1aN3fskv1v6TF+cv4/2SEynOyUi4ymRkTjV7/FQ0eXD7QoQVFZ9eRm4PdwspKv5QiAyjjsoWH2aDTJHDzOaKZlzthVHiWWj7w0jO40w2gy0jFy9eHG13MBh0DHnPsxqiIe+nl+RT7Qqys8YFqsT4HBO57e0A/CGFXKuRqhZvl3VryYw8vqhoJhhWMeplCMWvhFfjClBgt1CcG8ATCFPnDkQblQ+kr2FPxrZE5nWvRji9HnJzITeXzQVuiqaaaYoT3ji/c3hjexgora1dlbzI45YWOHgw5rVvb95HVsiHxe9FkSR85gy8pgyadSb4ahrYbJQ4HPxKMrHJCYcwMrowj+PmTGRf2V5+/7KTSq9CocMSN9wxHj153SLXu2MFy+I8a1QOVjZ7E+pX2d118gZDfHGwBV9QIayoNLkD1Di9tAXDfHPO6Jhy+3WV9RQ0VrPEFqBkVwuZddWYaqrI/H0NTBmrKWslJfDDH2r/72Pj7QjJWA8TiVjqic7na0qBlQ17tPD+eJVdu1ZH1vd6r5VVO1ldVs/MIjsLJubE9DDty+8fiXuZ4UBCBVAuv/xyHn30UUKhEOeffz65ubnMmzcvpnJTXxnMHjqC1BEvdKazO//KheN5aM1u8BOTM3f1wol9Pl5ZtZMnakw4Lvwx2Rd+n1Eb1qL++WHy/vInbBd8U8uvG5O8pseJKih9DcccqV68oVIMIgrR/gY3Gw80o5NlMoy6aJ8mo17GbpYocpiob/WjkyUyjFqvtmBYZUKeFYtRz+R8q5Zfp5NwegOY9Doa3QHMgRBv1Lgw63XYzTpMJh1PrNvHjFFWTti6lnM/fp0/nXIlZaOnIasK43MsMZbSnqyyJUUOZoyy8sh7tUiSNk88/jCBUBi7WU+TJ4ReB1ajjkZPAJ0kMb84G1mSyLOZcHqDMeE2I6lX4XBhMGTkUNBdyPtnB5ysv3kJZdVOrn9xC0igqir+kII/pDAhNwOTTuqyblU0BTlzVgH/3VaHv5eS5g6LgZmjHUnNxxyol6ovRrg+hTe2h4FisUAPVU47b4TfnV9LUFFxmPXoQ0Es/jaCLS7yCXDmmZPB5QKXi6KWFpbRAi11sGMbVSufx7q3hl/73egkCZcpA9ffMqiYOprxE9qbwjsch/+1WrWxmc0c01xLS5Mes92Gojeg6PU0B1UyVJm/v78Hu9XEjFF2Mgw6draXrj9qtINLjh3LT57d1KsxN951crcF8LS2kel143K2USCFMashzN429B43Y3eHMW4O8usDBzBXHyK7sZpQMERzTiGugtGo0yZTNetrOE9ZRrkljz9cvjCh6z1UJBKx1BOdz5dBp2NinpVCuylu37h487i3e62vBuh4jOS9TLqTkDLX2tqKzWZjxYoVfPOb3+S6667jnHPOGdCBB7OHjiB1XLlwfNTi1J07P5IX17Ga5dULJ8bNl+utmErHBUjBwKFTz6Js4el82VzNVY1btX4vU6ZoSt2pp4LJ1OUYfSURBaUvgj4Zi2gqSMQCl6iVbqDWvIiS/YPlnyPLElaTjuwMI1aTnkDYjaIoFOfZNK+XCvk2A9ntngabWY8/EMLlC5KfaWbe+Cy+OuRClmTGZJmpcXrxBbVqX2FFpbY1wAkFmWQZZTL+8he+U1nGg1feym4yseu1RrlVLT5MBj2XHDs2Iavsmh0NjM6yRK/9nno3OllCp9Nx+swctlQ6cftDKCqcPC2XqYWalXlKgZXP9zfT5A70ufeWIHkMhowcCnoLeS8pcnDtksn89d09NHoC5FqNTMjNQJZlVIhZt4LhMHvr3QTCCqeVFHCgyctXh1xA/H5pkPyG3QONBuiLES7Z4Y3xNsImg0x9s3bsTJOeRp0Vj83ExWdOhx6UgOsf39BuVDVgCPqxeD2EWpwUqH7uO604qgTS0gJVVVouoNcLXi/nNjnZf7ARSziIUQmhBoOogQAGJYw+HELS61H0evzIOMMSIUkmJ8tKfo6Nu+u8+FQJ2WgkrNMT1ulpUyV0RiM412h5g7JMSXMzd+yvpGV/FarbjVlSsNut7Gj20ybpCRsMhHQGPEYLLmMGYauV1uKxyLPnUf+Nc9ieP4q19SG87dEUp8/U8rqc3iD5fYnwGSISiVjqiXjzumhiFmt2NMQ1EMabxzXONt7Y2sJ/vqiKu5dKRmXw4bqXGQkkFIcWDoepq6vjv//9LyeffHJSDjyYPXRg+PeSWLduHaWlpbS0tAD02EMH4K233qK0tJRQSIuhfv3112PCVoeqh86yY8Zw85nTCX35Xw6+9zx2i4Gbz5zOrndXxPTQcX/+GhcYvuCrO5ey/uYltHz8Spc+Jr/4zT3c+9+duLxBpE0rqP74Ne79707e3FoV7WNS1eIl06znwxf+wlfvvwZoC9BLb7/EM/n58NZbcOGFfHDLLdTOm6f1rduyhZ9fe22/+5g8smobxy69mGN+9P84/t41/HXlli5zb+Nz97H3y89weoN4XM3897G72Ld9M0tnFcbMvTe3VvHcu5t57ZE7eGnlWnbVunDVH+LTZ+5l+7Yv03buffd7P+De17/k/Z11bPxgDSsevJ373txOWbWTx5/5P8666HJ+9M/PuP7FLXy85r+UvfznqJXur//4Z8zce/Dx/+Xnv/glzvYyy5vWvMovfnlTtA9bonOvpMiBQSeTd+A9jNtejSZ7Z5SvRN3yGjOL7CwpKcC68794Nr7GlHwtUT+48RXqP/6PluejquxYuRyp7G3+dPExTC20k1v+OuxYhapKGA0ytm3/ovK9f3HO8v+Hrfogf5w6CX1gP2cfXaQpjB8sp2Xrmqg18r47fo28b73WC1GW8bz/d+T9n7B8Q0V07lVuXktm+6a66o2H0FduQq+T8Hj97H/1Ib4mH+Bbc8dydFEGe/7zEPu3bgDArlcIrn0cU/12yqpdfLnvEJufv49/rHiLsmrnsFv3hiuDISOHAodFC63sSMeQ97JqJ+W1HsblWMi1mbBbDEzI0wpABMIqmWbtHmtw+9h4oAVV1SrBFtgtTCvM5GvjNKNDZ0WuOGfwvMj97bUImhGutUMeUk9jTHaf0Hg9U2eNyWLuuCzsFgN17kBUnvbmzal1+aLrSdBgwmXPwT22mI+zJ2hGzW9+E664Aq67Dm67Df7wB3jgAXjsMbJeegHTKyt46+7HeeR/HubV+/9J4N33+Mvv/8kLj/yL/3vwBR7/9aPc+N27uP/K3/Kn7/wPr/7gFv7yjR9Red2NLD/pEl4+/pusWbiMt485hXenH0/hhWfDCSfA3Lkwaxacdx6Ou++keNVrTNj2GaN2bCXjs4+57dq/cOdP/sitV/yO/7nkNu676CaWX3gt/3dOKQe+/X2+mLuIhskz8NuzmFJow+0PY9BJQ9IXdiB07m0KXSOWeqPjvJ5WaOXZjw/i8gZjDISRvnFjsiwcaPCwYW8jq7bX8ubWKtaWN2j3Zpz3Rz6T6Nzvjsh+rCPJNtgI4pOQZ+6nP/0pP/jBD5g3bx7HHHMMBw8eZMKECYM8NMFgEPGAfLqpEnfD4b4kyWTZMWPYN3cMTqeNX/9YC3d48N2+f8+2KhfWo7XQBL8kYdbr0Jn0LN9QwfT290Q8YB1p9YWwtJd4x2iE007jlVNOYdH06XzLaIS77+ZHn31GoK0NZs+GPhQVeHztLh55fw8WVcUgQ6M7wINrdjO62kVlc1v0fRlGHYtnFVJnMbC30Y9eljir3dtUU6MtbJ/sbWBFhQdUzaoSDCl8uLuRr+UECSkq+ZmaF3Fvg5vKZi8PrdlFySEDJRnuvp/MJFPr8hFuaiPTloHZoMMPVDS18ZfVu3CWNxBSVJxtQZCgttWHMaxEN4jbd7bG9AUqq27FoDtcXMRs0GHQyV2seZG5+9G2GnC74s7dQruZ6rDSaWGTsBhltle7qHX5UAGTQauaV+vy0tQWJKhoFS931Lgw6mRmjMuipMjBkx/ux2rSk200kpFtwWzQEfZ7uea9V2lctJQXz/gx3o9fIAPIzzSTn2lmjdVEUWFmdGz+kIJDJ8WMyKyXYqyydoueVn84Gn6TYdTTEFQw6bXHbYEQOm+Qy44bx8OrFbyBMIqqaoYOCU6ens8hs4GCwky+MOpp84d5Yt0+Lj5aWEOHguEqI3sKee/oKZoxyh5T3a6kyBETfbC7zhOdq5mWw+FkJ04r1Eqp72oi0vVqtMPIuXPGRjff6eRF7qu3LZlh5N15Rtx+A49ePr9P35VIukNPxPtdHa/3DleYsC0TN9p6LY3PJeQNUm0x8O3vHcXyDRV81SGa5usJ5kHOHedgw94m8mwmTHoZf0ih1RfiuHGOPocaJotk5IAlErHUF3oL25xWaI3JL9zX4CMYVsjK0AyK8cI8k+FpHsoK1oJYUtZnbrB76Ai6MtBeJ305TjISYOP1IercG6Vfv0lVtX51//0vrFmjNQpdtAhOPlmzHOq7t3Ecf+8a2vxhDDpwt5fxDoZV9DqJM44q6tO5vLg9FEYvS1Q7fehliZCioJdljp+SF+25MxTXrK+c+dA6jLKE2Xj4XPkCIaqcPs4+ZjQOi4F3tteQadLjDymYDDoWTsqN2/8okT5JPV3nvfXuaCiuQZZocvspcFiiQrPZ46c418rM0Y7oZw82tWHUSXxV3Up2hoGZozMx6fVdzm2kt1EwHGbjgRZmVO/mylcfZdXx51B9xrmcVpIfbUze3fW5uEPIUwSnN4jdYuCldmNHx1DMjuP+WnE2GSZDzH0U7/5aGaf9gegPN7JJloyMVLOMzJcrF47nx4un9trXq+M9+fHeBkw6GX9YZd74LPIzzdF72G6WeenzKnxBrb3B9EIbUwrtaVscIVUFHJLZ4zHeeuLxh7j5zOlMyrf16/d1vN6f7G3EoJMIhFW+VpxFnu3w9f7BiRP6ff7Kqp3c/3Y5DW4//lAYk15Hns3EjWdM63btG8xrk8w9U28pI32ht71R555xe+s9ZBhkLCY947Izury/4+8dyPkdqj2moCsJeeb27dvHHXfcQWNjI2+88QY7duzg3XffjQnb6yuD3UNH0JWhiGdOZgJsItbFRHMk4i5S110H114Le/fC2rXw179CZaUWDrJ4MRx/PGRkxHxPJMckosjJkoRRB/6wFprUl3MZiaOXZa0yYVNbgFAYfKFw9Hw9sKp8SGLQ+7qIS0hdQqdUNMU2EmZhNxvwBcOY9HK0hHI8K10i1rzu5u5f1+xi44HmaBVKFa3ZdyAUpi6ozZVJeRkU2C2xn83JYHu1i1NnFHSpotrx3EaslQ6Lge/UfsHsV5/hsSXfI2fJSZQuLKakyNFlc9R5/iVile3YgzEi7Lur7BfPav7kh/sHnO8QQVQj6zuDISOHikXTCmJaASyaphXoSKSqYasvSFWLl0BIwaTXMW+8I6YQz64aF9sOudDJEiYdBBWVL6tczCvOSkhBScVcTFU112Tm4HW3nkzKt/VbPneUtUggSRJfK3aQZzt8veMVxemL/C8pcnDjGdO6veZDfW269HcLaXmhN7y0tU9Nw0G7JgOp1NqR3vZGVS1exudamZBnA+DljQfxBcMEQkrc90cY6PkVrW1SR0LK3O23386vfvUrfvOb3wAwY8YMbrzxxgEJqqHqoSM4TDISXHsjmQpjskITelUwJ0/W/q66CurqYN06ePVVuOsumDNHU+wWLoTRo6NtFcLq4YTToKI1eu7ruSy0m6lv9RForxBn0svYMwzkZ5oTas6aLPqjgEfCYSRJiobDuP1hxmdrcfcOi4EpBVY2HmjBH1Kwm/XdhlUlsonp7jz8Z3MTiqpiMciEFRVvMEwwpOLyBXnmBwu0zcGKLXHj+GtdPhZMzOnyfMdzW1LkoPTEYmru/hP5n33EJ7fey89Pnx9zXnoTgIkqagMR9skKbxHVyPrHYMjIoaCn693dnOq4YS8p0sIvD5q0EulGvS6mEM+uOq2QTyQE0yRrYccvfV7Fb845ut9jG4lzsbuNMGheu87KTW+Kbrz1ZKDGwchaF1mzDbrY620xyANWftKpNUpHuVPf6otWOlZUJaXzsbe9Ued7d/ZYB+t2NWDW61AUpdu9VG9zKhHjSjpdvyOJhJQ5r9fLMcccE/OcTqfr5t2JM9g9dASxDEU8czKVj0Q2wYkI/D4pmAUFcOGF2p/HA+vXa8rdY49BZiZ/LpzKw958thZOIWQ0ElYgrCgcOyGnz+dyyYy8aI8ni0HC4w/T3Bbg2x2UmGRfs+5C9Poq4L+7sJgal58GtxbGYdJr+QvnzxvN6rJ6AHKsJqYX2thZ68be/v3xrHSJWPN66kvksBhQVPAEwsiShIRCgzvIhY9uYEKeleIcC60+fZfPFtrNUcWzvtXH7noPTe4AOTbj4Xw8j4eSP/+eklArrP4Psxz9E1LJtMrGI1lWfVGNrH8MlowcbHq63t3Nqc4b9oinOxgKt1dyPXwPv77lEJ2KZWKQwRdU6I3uxvbshgPkZZr7FSY43DzOe+vdvLLpUDTscFdtK9uqnNF1tq+KbqLyubdz1d2a/eSH+8m1advKdFJ++ktMXmj94bxQh8WIw2Kg2ePnt69tZ3xOxpDOqd72Rp3v3QK7hZlFdtp66TPX017qSDOuDDcSUuays7OpqKhAas9pWblyJfn5+YM6MEHySXYp5XgkW/nobROcyOaz3wqm1Qqnn679KQqUl/P1DRtwvLIS7/vL2Zk9lh1jphKePRtT9mia+ngu2wIqxxZns6veg8cfxmrSMTvfTlvgcABjMq9Zd4txqy9ISVFsQ9Xezk9P4TAdww6DYQWdLLGrzo3LF4opn9z5+3oSCN2dB7NBRyisEggryJLWOiDQHnJpNemocfpoaPVRnBuIyZlzeoNcuXA8q8vqaXL7Ka91gwQ6GYrsJp5Yt4/rspxMfPh+Lez23nu1stppSrLCW4bCEzwSGa4yMt719odCrNreRFWLF4tBJhgKU+0Mxd2wR8g066l2hrqETpoNshaC2aFudlDRnoee84i6G9tHu5s4dUZBnzaUg7URTaaCGG+M/+/tnYTCqlZJ1GzAH1LY1+Dhsff38rUJOX02unSWzw1uH9uqXATCCg+sKo9WgkzkXPVWJCWe8pPIGFNNx2tq0kkccvoozrXS6g1G8wRnjbHT4Paxo6aVsAILJuYMuXLT094onjy487yjehxXb3spYehLbxJS5n77299y++23s3fvXk466STGjh3L/fffP9hjEySZoYhnHgqFsSOJbD6TomDKMsyYATNm8Jj5aN7dVMG06j0cU7Obr698iWNeexTrrBKy6o7TiqjMng2Zmb2O/Zhx2cwZfzjUT1HVrmF+Sbpm3S3GVS3eqIcqQiLnpzsFLPJ8Iv3VEqW78+APhlhX3kAgrGDUSfjbcwKMegm9rJWszraa8AS6eg0iiudvX9tOUFHIs5nItRqob3Jz4jv/R8ueTez//W+Z8M2lPY4tXSz+yQhvEdXI+sdwlZHxNvef7G3GoJOoaPTQ6Alg0MkxVvze5kjH+2FKnpWth1wQUjDImiIXVlQunj+m1/Uh3nG2H9IKFvV1QzkYG9FkK4jxxuj0hjDIEub26sxmgw5VVTnQ5OXkGT2XgI+3LnWUz/5QiE/2NiMBx07Mjo4/I57nlcTOVcfv76z8xBtjPHpaT/uy1vZnXe58TVt9IWRJIhAKd8kT/HhvI5IkkWM73Eoi0fM0FPRVHvS2lxKGvvQmIWVu3LhxPP3007S1taEoChaLhTfffJMxYwYvbEgwOAx2PPNQJ8AmsvlMpoL58xc+59UttUg6E1vGzWTT2Jk8BVw4w8H9M43wxRfw3HNw660werSm2M2dq+XeFRT0eeyQ+DXrTXh1txg7LPpoe4dkKuC9lU/uy9gh/nm4dslUGtwBth1y4g8pqGhhXHaznrCiarmMJh0Hm2MFzt56d/R4rb4gx07IRidLHNr4FT996x805o7ijm//mkn+UZT20L5jpIWeDLUxZqQwXGVk5+u9rcpFIKSgKOA36Mi1GnH5Qvx1zR4m5dti8qUin+k4RzrfDzaTHpcvSLXLjz+sYjbIXDx/DL8552gufnxDj+tDvOM0twU5fnLPea7xGIyNaLIVxHhj1EkS3mCYyua2aF611ajDoJN6NMD1tC5F5POq7U1kmvUcNdoeLVoD8Om+JpaUxMqqRM9VIkVSejIM9TRuSMxj2Nv39FXpbzbp2F3vYUyWhcpmL25fiByrSoPbj0GWo/1K+3Ke0pHe9iPC0Jfe9KjMud1unnvuOWpra1myZAnHH388zz33HP/7v//L9OnTOffcc4dqnIJhxFAmwCay+RyogtlR0Xh9i9bY3tDeN0xGq+D4armL+793Fhx3nPahUIg9H35O+X8/wPLX55hUdQfZeQ4yv36sptjNncvSowp44oP9PY49URIRXt0txjPbN2jJVsBrXT5sRjlmI5Jl0cf0V0t07N1RUuTgzvOO4tkNB/hgdyMNbh96SUKWJEIK5GcaqW/1Ewyr0abk+xvcvLKpkrnjsijOs7KrtpUPyxtYuHUtP/n0dV4+8QK2HHMiWTYTDkvPFUo7Cv+OeXe/fW07d547s19zLNXePVGNLHGGu4zsfL0DYQWHRY9eJ0e9QXazniZPMHof9DRH4hXYWDS9EIela3n9SDXfjmSadNH1Id5xTpySi1Efm4SXyIZyMDaiyVYQ443RatLh9AYx6bW2Dv6glns2Z4yjRwNcT4pmpJF6ZPwdW8JkmvWoqHxZ2UJ5nRuPP4TVpGdagY3Z47L79HvGZls42Oil1aspP4nIt57GHXmciPLcX0W78zXtHEqZYdCxs8ZNWzBMrs3EqExTjCI8nJWb3vZSw9HQl8x2EOlOj8rcTTfdhMPhYM6cObz00ks89thjqKrKI488QklJyVCNUSCIofPG97SSfMprPT1uPvurYHZWNBS0fCxFUZFlTQjqJAgpsYX6y+o9PFFrxnHCWWQuOZf3vUHkigqusjYx9osv4OmnKfF4uG1qCZ85xrM9r5jcGTM4tiSfldtqefLD/X3a1CcivHpajAdDAbeb9OxvbCPDqMOokwmFVSqafEzIjW33kAwLd16mmWmFNow6icpmLwYFCjONhBSVprYg88ZnRb+3xuXHatJT0+pnYr6NSaYw5z7/GAXOeu49/wYO2gsJtPqZXGDrdXMWEf6RZH9FUfH4g9S6vFz/f1u6bS/QkXTz7olqZIkzEmRkx+v9wKpy3th6iFzT4a2BP6SQYzV0Cf+ON0f6ouD0p7H1CVNyowWW+rKhHIyNaLIVxHhjlIDsDAOSJBFUVHSyRJbZwPg8K5cvLO7W6DKQ9IPcDAOf7m/CqNORYZBp84f5dH8TCzt5ROPRudF8hkHHzlpN+TlqtKNXw1Bv4050bvVX0e58TnbXeWJCKSfm28hpN/JFrpfTGxwS5WawDX69GfKGm6EvmWkew4EelbnKykoeffRRAC666CJOPPFE3n//fUwm05AMTiDoTLyN7+qy+kHZ+L65tYq739pBqzdIpsXAnLEOZEBp/4tsQcIq6GUp5rNdFJQMI87iYlZYpnD9Vd/V3lRXh2fNR1jfXc+ijz8g/8lK6jNzsE2axrRJU6gomsj/1jRz1Wkzev1tiQivoV6Mx2Zb2NfoIayoyJKWK6OiMjY7drMzEAt3x/lQUmRnbHYG2w858QTCuP1axcqsDANHj82KfsblCxIMhdi9r4lpK//FhVvfY/PUudx2yhXIJhMZBplsq4HGtiCFvWzOIsJ/d70HRVFp9ATaxx/pg3c4PK07RGL58GUkyMiOm0SjTkJRVFy+EHazHn9725Ti9mp9vdEXBae38urdrfWJGO86MxhrX7IVxHhjnFKYSZ7NyN6GNty+EDaznkl5GQTCao9Gl4GkHzR7QxTYTAQVFX9IwWrSkSXrWbOjgR8v7rl9VOe1bEKejWyrKa5ntj/jTjRXs6KpjWAoHO2zFu/3x6PzOekplDLe9Tp2Qla3xtiBeImGyuDXmyGv8+tl1c64bTPSgb6keYwEelTm9PrDL+t0OkaNGjWshJRg5DFUG9+IVcfjD2Ez6fAHFT7c3Uih3Ui1K4Ciat65sKo1qj7r6Ngcg0QUlLKwiSfkiTjOmUamWc+HZdVkHjrIN+QmJtRWsPjzD1hWeQDvk6Ph1AUwc6b2N2UKGGPDkzoKwW7L7DO0Xher2cDRo+18eciF06eFWR492o7VHFsVciAW7njzwWKQqWzxYtBpi3dOhiEmv8TsauG4D1eytHw9OybO4rffuJoD2UWMyjRjNRsw6WWMOokmd6DXzVlE+De5A3j8wejzuTYjFoMuJjytO0Ri+fBluMvIeAUfcm1GGt0BmsIqOVYDxTkZ6HRytNJhT/RFwemtvHp3a315rSchxaAzyV77BkNB7DzGB1aVs6/eHfOeNn+Yifm2zh+NYSDpBz95dhMFmSZk+bDHVFGULuHx8RjoWtbbuBPN1QwEw2yqaAFgfK41YUW78znpLZSy4/XqSeHaW+8ekJcoHQ1+6RZR0pnewrhHGj0qczt27GDevHkAqKqK3+9n3rx5qKqKJEls2rRpSAYpEERI1sa3t5CFiFVHUVVCYSVaSluSZSbmWTjQ4I165M46uoCHvjM/5vvHZFnYcrC5S97B6CxL1JJV0dTGqExTdGH2oyM8dgKvG6fw9VPP1L4o4CdUvoubximwfTu8/DIcPAiTJmnVNSdPhilTOGtsPo9tbeu2zH4qFlijTqKuNcDkfFu0sXhda4CJ+bYu3oBalx9yMvps4e48H8prXGyucIIE0wttuLxBDjS4Kc4NcJwlyLEfvsmJa95h7fg53HH+TbTmFdLiDUJIxRcKs6g4n911HhrcfnJtpl7PW0T4//a17dS6vGSaDeTajGQY9fiC4Wh4WndW2bJqJxVNbWyuaCbPZmJKgZU8m3lY514cSQx3GRlvkzhrTBaBUJj8fvRy66uC01N5dWHkgGmFVl7ZVInVpCfTpMPlDVLd4uWMXhTrRK9DPAW3P+GvEcZkWdjf4KbGpfUftZsNjLKbYjxkAxn3aSX5XdbReLmaEWW32uXHoNf1W9Gemm/lkNOXUChlTwrXhr2NffYSdZSR2w+5mD3ODhw2eKb6XkhHBbMj3c1jm0mftt7EgdCjMldWVjZU4xAIEiIZeQqJWJQiVh29LFHt9AEKRp1WbnnBzFH87bKeN/kZRqlL3sGGvQ1MLchk/oRcihxmNlc042oLYjPryc80YzPr8QdCuHyHPTzOsIxj1izoaIn2+WDnTu1vzx5YtYrpe/bwO1VmPVnUGm1IdjumsUVIwbFU23JZ86lCyXnzEj/RSUBC81p2RAVa2gJdvAGKqnbpZxWvQllnBbzzfNhS5USWJawmHbIsk68LUFK3i/kffsZJ1WVsmruY31x4K3JeHgFFJRBSsBr1+KUwvqBKjtVESZFWdCCR3lXREuz5VupcPswGHRaDDl8wHA1P8/iCca2ylc1t7KjxMCrThKstiNMb5PP9zcwYlYksy2mdWC7QGO4ysjuFKV7PuERJlgcs3avnDYVnorzWw7zxWVHlyGExML3QRnmth2W9fLa/16G38Nee6Kx8Or1BDrV4+cZRvXt1ext3WbWT1WX1zCyys2BiDq2+EKvL6pmUb4s7j4vzrBgNOu6/aHbCx+6pNUFPsgl6Nj701UvUeRy7alv5ZG8zCydLCVcGHWzS3dgSbx43e/wU51qjxdDSzZs4EBJqTSAQpAvJyFNIxKJ02KqjLabNbQHc/hCZFgMVDa0se+jDaN7coqk5PP2DhTHHWLOjoUvegaqq1LX6o8fLs5mi+Vb5mWam5Fv5ZG8TNrPmEez2t5nNWh+72R2ElKpiq6tj599XMgY/Zk8r1qYGbJ+uZVZjLcbaGnjQDmPGaC0TRo2CrCztz+E4/P/IY/3AlwZ/WGXBpGz21rdFrbQzR2ey5aCL4ybGNrwtzrX2mFfR3cbptJL8aEEEuwEchw4yr7mK2Z4aph/aTX5jNVWF4/lsTAnj/+8hxtvtPP/4BlzeIAUdNol1Lh/+sEK105eQFbfjeAw6+OqQC5c3QLMHPBYDdrMeRVH5otKJLxAiw6iLa5X9xsxROCwGbGZ9NDS22uXvUyVMgaC/pLPClO7V84bCM1HV4mV8rjXGs9W5F2my6S38tSfKaz3MHZdFTasfty+E3WJgWkFiymdv9HS+kzWP4x4jJyOhnL+exlDRR29n53EcNdrOJ3ub2FblYtE0U1rcC+m8dkD8eTwpL4MCuyVtvYkDQShzgmFFMvIUerIoRbwtsgSHWrz4AiHyM02EzFo1K5tRYuNBV/RzCvD+ria+9+SGGIWu1uXrknewp86NLxiOPp5SYOXz/c00uQMoqopRr2N8bgajHeaElYookkSZYuaD/Gk0uv3k5ZuYcpwWsuf0BnGY9Vx/3P9v796joyrv/fG/995zTeYScodAhKDhqqCVKtSC5aIoxgutnLqoB7rsktPTIwe0tnhcxy51nao9erTaLhce64JWvj1Fi3JAoT/IUdBKRayIkUtAgiEh5EpmMpO57/37YzKTmWQmmUkm2TOT92stFslcn9mz8zz78zyf53lKgMbG4L+WFsBmA5qagM7O4M+dnb0/GwzAuHHBvfFKS3v/lZT0/m8aOHUmVNlfX1EQvs3m8kGBArNh4A1v++rbuBUIfmgbzuLvHx3A9a3nUHr2JMraL+AavQUXiifCNrEC7y75B9RPqECHD7AYtYAluHFtrB47v6zg0VunJzwxOlQeXyCAz+pt0GtETBqXA5dPhtcfQHu3FyVmA74xOQ+7P29CQFFg6km3Db3v+Uvd4eNQZDagyGyArChosrkzvmGhzJBowKTG1hnpvnreaIxMxEvXT2SbgM0HTmProfrwBfea+eWDLmAS8unXHTh+wQa3T0a7w4NPv+5IqG5s7HThssLcqDl9qQo+Bzre990wOSWB/3C+04H+lipLcpMa7exbjiKzAfOmjMPnDbbkrw1GSLp3tgD907h/+sbnSV97ZAoGc5RxhpvGE69HSS8J4dGWeZPzYdCI+KLRDrc/2Dv6wOKpeOD/HQUARC5eKSvBgO6nb3wevtCJla+tAOG9mwCg0GTA9FIzmuyecAX9s+XThrWFwoApe3k9I3CzZg38YrIMOBzBwK65Gbh4Mfj/8ePAe+8Ff794ERDF3uCub6BXXIzbCmU8+5cz+ORSN1x+BXJuLkpKC3D1pLzoDW8VBU6HC5fpAVy4AFy61O/frA9PoNDnDI84wulEnXEcWqzFEGfOwFuL7kaNZQJKS6w43ezAuFx93EZzOD3PIaHG9nCdHXpNcE8uRVHgkwGjToIVwI3TgovimI1adHsCuNTtDQdzXZ4ArMbohVmA9OrZpOyXSMA03HTC4QSC6bxNxmiMTMRK109km4DNB07j19VnoJMkWPQSuj0B/Lr6DAAMGtA9sesLbP2oHpIoQC8BXr+MrR/VAwAeq7pywOcOd87cYK8d73gnG/jHOyeH850OVIZQORJtc2KVw6DV4KaZpUNOf061dO9siSXdRxOHg8EcjQmJLLhh1IpRoz9zJo3D5EJTVIrFT3qCuZDI7eUiL3SWTC/E6387D6C3J04jIpyvHXpfURSTTqmL1RBFjlwNO2VPFIOjWBYLUF4e+zGKAnR1RQd7Fy8Cf/tb8P/WVlg6u7G6uQuKAkiyDKPXBYPfi7yiPDgCAvSKH7qAH4rPB3cAkAw6HDeaIIwbh5LLSpE/sTQ4OpifD9eVc3BUZ4KmIB/d1ny83y6j0xOAJAoIyAr0GhE5ioIudwCXFeTC6Q2gxeGN22gOtPDCQMc5dBxDjYLd7YO5J0Dz+GWYDBp09Yw+hsydaMUHp9vg8CiQZTkcYK6ZX46TF50A0qtnM102MKeR1fd7vu+GyTG/5+GkE6b7infDMRojE7HS9RPZJmDroXroJAm5+mDnYa4egCd4+2DB3PYjjcFAThPsiNSLwbpt+5HGQYO5VMyZi1f/pOp4D3RODvc9Bup8qCgyYX5FQfhzVQywImkmjHoB6d3ZEkumHNehYDBHWS/WpOZYC2787sNzKDANPAQf2mcuFlEQwhc63V4Fm26Z1q8nrqLINKyerHgNkcPjw/TSYBphKlL2Br2gF4TegO+K2BcHD/TMTYvqBXO6USQG8OjSCrxzphPnnX5Ieh1Ot3X37GkVgF4jodCkx09vrgy/Z2XE5zYbNGg93wStKEIAokbGujx+TC7IQZPdgxnjLYM2mgN9/oEuQkONgk4S4fYFIAgCPH4ZsyZY8OUFe9RrXVFiQbc3gNoWR78AM/I46yUBRq2Y9IbxqZTNF9/UK5nveTipZ+m+4t1wjMbIRKx0/US2CbC5fLDopajbjFoBNpcvzjN6uX0y+jwVWjF4+2CGO2dusPMy3vFO5nwe6JzcuKxyRL7TZOvVTBz1ygTZfFwZzFHWi1V5x1pwI5Eh+IVX5OP90x1RI3IAcFl+78VO6EJn47LKmKM/w6k44jVEjZ2ulKXspeqCPtYKXrlGHc45vKicXYHK2cHbHt1xDG0OL8wGDSwGLTx+GXVtTrx+6Gv8x8qrAMTf/+dMqxM5PT3IHr8MjSDg5MUuBGTguin5CZe9b/Da1uUe8CI0VJ7XD32ND860Y1yOFnMnWaHTSMjP1UEUhKgR2HG5evxuTf/N30OvFXnMZcWP90+14K3PGvHtywvwg/mXjVpjk80X39Qrme95OKlJ6bTi3XA2bY5npEcmhrpNgLUntTs3YstDl0+J+g7jMWhFeP0y9L1vCZ+M8PY8AxnunLnBzst4xzuZ83mwc3IkvtOh1KuZNuqVKbL1uA7+10mU4Ro7XQlNel0+uwQ2V3C+mawo4Z8jN8vdct983HhFftQfzgSrDndePSn8+0jmYMf7LBaDZtCyA8Gg5fl9tfjpG5/j+X21ONFk6/cekQ1PaLTRatRib01zUmUtsRjQ5QlE3RbrQuSz8zaY9BIMWgmCIMCglWDSS/jsfHTZZoy3YuOySjx79xw8fvtMSJIIrSTA4wuEtwJQgJ7XEPFxXQcO13XgbKsDfzj0ddxyhgKpyOWKPzjTDo/fH/W4WOdModmAaaUm6LUS2hxeWI1a/Gz5NPz05kpYjVo02YJB4dIZRdhb0xz3uIeOudcfwNGez51n1KDmgh2vHKyL+T2NhIH+VhI5dyg19uzZgxUrVmD69On44osvUv76idaJQGL1YjxleUZ0uaP/jtSYo/LOsUY8vecU7C4fcnUizrY48PCbX+Cf/3Akrc/jNfPL4fQEU8FkWYbN5QunaA/2PG8gAKcnAFmW4fQE4A0EBn0eAKy6tgyBnrROWZbh8csIyApWXRsd+MaqD4b7fSdzXg71eWqck0P9XANhfUyRGMxR1ku08g6NtkRehMca0akoNiFHL0EjBtPiDBppSBc6qfwssyYMXvZYQUusQGG4DU+okREUBRc6XWjpcg94IaJAgdDnNYSe2+MJfVezJlhwyRU8HleXW+HqCewcbh88vgBMeglQFHx4pj3qc0Y2hL/43+MIBOSo4HVcjhbHL3RFvWfkORN5LKeXWjBzvAVmgzacGhkZeC6fXYL9J1oHPO6hY36m1RlOGzVoJXh7ypVsID1U8c6v0OJAg507lBqVlZV46aWXMG/evBF5/WQuaBOtF2MZTiCYSlsP1SNXr4FGFNBs90Lqqbs/re9M6/N4xVVl2HTLNFiMWrQ4vLAYtdh0y7RBRxTXLboC/7rkcuToJdg9AeToJfzrkssTWs3ysaorsWZBOXQaEZ4AoNOIWLOgPGq+XLy2pLIkd1jf91ADrWSep8Y5meoAMtG2nMYOpllS1ktm0utgQ/B9V/ryyQrOdbhgqe/A5SWWEc/BHuizDFb2RFM9hpNWFZku+M2KAhi0ImoudMHjkzExPyfmYiRXT8rDx2c7ACE46f5StxetXV7k52rx/L7auHPHZoy34pcrr4pKkSww6XHJ6UGOTtu7cqggYFyONvw5+6aR9t28vc3hhj8g41x7NwBg5gQz9BpN1DmTTNpMIo8NHXOH2x8MQBFMG7UYtHD7/Pi4rj2pBUmGuohJvPOr7+JATL8cWVOnDr5B83AkuxDAUFOT0mWOSijlu9HmhkYUoJEEiIKIbl8g3FmSrudxMgtnRFq36IqEtyLoq8RigMWohQIfLEZtOJsiVK/sO94MrSRg1gQLRKG3Xqhtdg7r+x7qAhXJtvGjfU6meuGNWG1Kh8ODX/zvcZTn53DhqjGIwRxlvVRW3rFW+oJfxplWJ97+l2+nuOT9DeezJDp/ZTgNT99GZm55PqYUmQfcdPXe+ZehyeZGh9OLFrsbnW4/cvUSrqtIbM5b5IXmiSYb1v3h7zBqFSiK0rOoioyry63hz9m3jJGbtwsC8OnXnQCAyQU5AIC/nunAty8viCpDMnOBEnls6JiH0kbRs6BKWZ4Bn9RdgsmgSXj+4nDmPMY7vxJZHIgyx2he0KbDHJXQ3DOvX4ZOCtbdvoACk16T1uexGgsSxdvWoNnuxqXuQM+8XhlQRPy9vhPXlOehyGwY1nGM7HzyeP040tyFLo8/PLcxkS0GjFqx36Jm6TIfLdV/b33blNYuN2qbHfDJclJzxSl7MJijMSFVlfdwVvpKlaF+lkRH3EYjYOz7fj9bPg17a5rx/x2/CGuODrPLLCg09b5OKM1wsNGmGeOt+PblBai5YEeXxw+LQYvZZRZoJQnF5t7FYiLLeHlxLj483YZmmxtnWx1QlOB2EgsuL0SR2RA+ZkMdvUz0sTlaEV1uH9ocXpRY9Lh28jgcv9AFBcDsMkvUaqkDjSQMdxGTWOdXNu/Po5a1a9eira2t3+0bNmzA0qVLR/z90yHIGi1r5pcHN21WAH8gAFkR4A3I+OaUcWl9HquxIFG8bQ22H2nE974xqac8Orh9Aeg1As60OlFkDq4SrYvYq3UonU8aETjV7IACYMHUfOg1Guw/0YqKIlO/58dapdrm8qVtAHO21YFDZ9vRbHej3mJAZUnukMvZtz4+0+oEhGDHZKLtBGUXBnNESRjOSl+xjOaeXqlMN41nsIv+eJ839C8UaImCgDaHG2danLC5vPD6ZdQ02jApP2fQi4QFlxfg06874ZeDo3NdLj8kSQ5/zr5lVBQgIANajQC3LxBMzxR6Z/FFLgAy2F6FsY7lYMc98qJkxVUTUN/uxKlmB1q7vPAFFFxXMS4qsB0sOB6JFQSzeX8etWzZskXtIowZodTul98/i7o2J0x6DRZMzkexxZjW57Eaq4HG29ag1SGH51JfXpyLT7/uhE4S0NUz58zm8iFnCOnYkQHr8SY7NJKAzm4f9h1vwdQiE0ot+oTS132BAM62OvDg9s9x08zStEozDC3Ak6vXoNikg93lC3YuAAmvqNp3G5sLNjcuK8iF2aBBh8MLSQx+LyHpPOJMqccFUIiSkOhKX4kY7UnMw1nIIFF9J5fXtTrwt6/acbzJhkd3HMOv9p4a8POGJoq3Odz49OvOYO+vJMLpCaCuzQlfIDDgCpsnmmzYf6IV00pNyM/Vot3pRW2LA0tnFIU/Z98yfnnBDp1GxLKZwcZ/vNUIq1Eb7O0EonqcQ2XXaaSIvQoHPpaDHfe+q4dOLjTh+ooCzJpgxbKZJdBrovvcBhtJGInV2kbj3CEaSSuuKsPu9d/Gmz+ej+9/sxwmgy7tz2M1Vl60GrVw+aIXn3L5FBi0YrgshSYDvnFZHgRBAASEj6MnoCS9eFbkglttXW60dnmCi18pgNsXwMmLXTgeo02Mel5Pe6EoweeN1oIgia4oGVqAx2rUQhSDAW+uXoOth+oTfp/I9kerkSAKArw97U++SYfppeaoTr90HnFWU7auAsqROaIkhFb02n6kEW6fDINWxKpry6JW+goZbF8jNVJoRjq1KjJF88sLNpxpcUAviTjf0Y3Pz3dCJ0k9I2/aqM8b+v/LCzY0XHJBlpXwaKcnoCBHJ8EfCGDn0QuQRAG5eg3mlFng8ETvYxd5TCcXBhcKsLl8UZvW9k0j7Tv6lWiPc6y9CuMZKMVmoN73+26YnPSI2EiNoo2ltDy17du3D08++SQ6Ojqwbt06zJgxA7/73e/ULlZWyKTzWI0R8TXzy/Hr6jOAJzgi5/Ip8AYC+P68ibjU7QuXpfGSCw2XXNBKAg6dbUdlSe6Q0rEjn+PxyxAFAQIE6LTBbWo8fhm2nhWLI0en6ju64fUFMKXIhDMtzvA8drMxGDRdco7sgiDJzGeMteeqWS8Nuvl7SMxrhfyccPsTGezFO09GMwsoXakxB3W0MJgjStJjVVfGDN4iJZJWkU4b6o6Er1od6Oz2ocSih8WgRbPdA6/fhy8abVg8Pfi5zQYNvrxgQ31Hd8+8NAtytBLer21FgUmHIrMBsyZYcLiuAw2X3BBFARaDDh6fjA9Ot2NhZWHUeyZ6TCMv6J7fVwubK3iREupxrmm0A0Jwk93QAiD5Q1wAZLBzYaALoKHMX0yXFQRp6JYtW4Zly5apXQxSmRp/y6EVMLceqg/XSz+ePwXrFl0RDgg+rmvH8Qt25OdoUWTWh+u0H1w/CfUdvQFfsp1PWlGAU1bglxWUmQxw+wKAAlgMGpxosuHZv9SizeGBxx+AIgNftwezJ2wuL/SSCE9AwawJFrQ53Dh6vhN2lx9dLh9ON3fhWEMnfrZ8WsqOXTKdsUPd/D0kkY3OBzpPsjmISYYaHeijhcEc0QiITKsAEK7Etx6qDwdzA13ED6UXLR163iIbjS63H6IAtDm80GlEGHUS3N5gWkhIl9sPu9uPieNywsdhSpEJX3cEtwWYX1EAAOh0eQEI0IjBuWwaEfCJAr7uiA6myvKMONfmwEW7B3a3DxaDFqUWfXiULpa+vd8Otx8ev4yJ43p7k4ezAMhg58Jgve9DGUnIpNEHIkq9wTJDBhJvW4NQvbJq8yFMyDP2q9OqT7bh8dtnDrnzKUevRUBR4PbJaOh0I1cv4YqiXMyaYMXrh75GXZsTZoMGFkNwFE/r9eNsmxOiIAKCgGvKrSgyG1B9ohmXun0waEWYDRp4/DLq27vxh0Nf45crrxrC0ewvmc7Y8AI8CI7IdXkCcHr8eGBxYluQJNL+DFTnZ3MQk4xs7kDnnDmiEdBsd8PcZxJ537SKeJuXVpbkJj2XLtXz74aaV9630QCC8x7OtDjg88vwBWT4A0rU57UaNf3mWcycYMal7t5j4/HJMOpE5Og08AYUaCQRE/MMcHii55NUluTi7/WdsLl8MOmCm7n/vb4TlSW5iCdyPtjJi3acuuhAZbEJM8ZbUrIZ7mDnAuejEVEsQ63XQ9kAdpcvKhvgnWONCb/vQPX/QHXajPFWbFxWiWfvnoONyyoTXkF347JK/OQ7FQAEFJj0qCzOhcWgxdm2blSW5OKz8zaY9BIMWgmCEEzBzM/VQVaA51ZdhYoiU3guc8MlF0RBQLHZEH6sSS/hs/OdCX3+RCQzn3Gom7+HDHej88j5hSHZEsQkQ405qKOFI3NEIyCRtIp4qRFD6UVLZc/bcFIyInu+8owafN3ugiQBUIKrRvplBSXmYNAS+Xn79jrqNRp8+/ICWI3aYENk1EInCiix9la6NpevX5pKbbMTV0/Kw8UuDxxuPyxGLSqLTVFz5mIJ9Wo+v68WZXk5/Y5jopvhxhodTfRcYPBGRJGGWq8nkhkSTyL1/0B12nAyRGqbnZhamIPTrU402Vww6TW4oigXtc1OKFAgQIh6vABAgdKvLdVIAsb1LDISogD9nj8cyc5nXHFVWcLBW1/DTbfl1jJB2bwqM4M5ohGQaFpFrIv43314LulUgFSmDwwnMIxsNAxaDfRaEQFZAQRAEgUU5OjwzYqCfqkusSrYyIuHUE+zzeUb8Hg2drpwWWEuphT1plXKitLvOMS74BjoOA4WcMW7CFoyvRCv/+188LWGkGJDRGPTUOv14Sy4kUj9H699u+vq8cOam/XlBRvOdbjgD8jQiAL8ARnnOlzQaGy4elIePj7bAQgC9BoRHr8MhyeA6yryAUS3pY/uOIb3a1thb3MiICuQRAEaScCNlUWDliFRoz2fcTgdftkcxCQjm+eTqxLM7dmzB7/5zW/w1Vdf4Y033sCVVw68mARRpgn1wEXOWXhg8dR+PXOxgorhrgiW6HPiGU5gGNlo+GUZ4y16dHT7YTVqUGg2oKIwB95A9LLXiVSwiR7PRObMDdTzPJzjGO8iqNurYNMt0wYtOxFRpKHWR8NZcCOR+j9efVzb7BxWhkizzY12hxc5Ogl6TbAjsN3hhVnvxkM3VaLJ5kaH0xvcLkYjorwgB/fOv6zf6yy4vADVJ1sQkBXIigzIIgQheHsqZUpGRTYHMcnKlO8sWaoEc5WVlXjppZfwi1/8Qo23JxoVg6VVxAsqls4owv4TrQDUWY5+OAFNZKMhCiICgoLxVgPknvit2xOIGjWLfN5gFWwiaSqVJbnY8fcG5Oo1MOuDc+YudLpw06zeuQUD9TwP5zgOdBG0cVklgzciSspQ66PhLLiRaP0fqz5+743PoRGB4012ONx+mAwaVBTm9JvbHI/T64fUJxNSEoK3zxhvxc+WT0sohbO22YlvTs4Pp9ubDBqUmvWDpttns2wNYihIlWBu6lSmFxHFCyoSnZ8VKZU9b8MNDEONRmVJLp7ecwqSKMKsl2B3+dDU6cLNCU7a7uuJXV8Mur9fInPmBut5NmpFfFzXDgECrp5kTThFiPMSiCiVhlqvJ5rJEMtw6n+dJODjsx0wGTQw6SV4fAF8UncpnAo5GL1WQpFFD6c3AK9fhk4josioh0YKjjAmGpA0drqQo5eArt7bcvTSmFvwg8YOzpkjSlKqtgAYzvysWFLV85aqwLC22YlryvPCKY9WoxbTSmIvRrL5wOmofY3WzC+PWhr7iV1fYOtH9ZBEAXoJ8PplbP2oHgCiArpE5szFC7p0koBXDtZBlmWY9Rq0O734tL4TCy4vSOizc14CEaXaUOv1oS64MZz6P7ggSTSl5/ZEhObFFZn0vfPi3H5cPTkPQOLbLQw3qKTUSYctk8aCEQvm1q5di7a2tn63b9iwAUuXLh2ptyUaUancfDPbR3IaO10oL8iNmq8WazGSzQdO49fVZ6CTJFj0Ero9Afy6+gyA3g1stx9pDAZymmAPrV4EPH4Z2480RgVziRzT5bNL8Ku9p9Dh9IZ7f/NzdZhgNUCWZZxqdkCvEWHUirho8+CRHTX465l23Dv/Mm7WTURZ72yrA4fOtqPZ7ka9xYDKktyE6jFPQMF1FeNwtrU7PGd55gQzPIG+IV5s986/LO68uNAiWLl6TdR2CwD6BXTDDSpTZawHMtysfPSMWDC3ZcuWkXppItWkcguAdB3JSVUFXJZnxOfnL6G2xQGnx49cvQaVxSbMmTQu6nFbD9VDJ0nI7dm3KFcPwBO8PRTMuX0y+mxrBK0YvD2ywdRJAprtHiA/J+YxPdFkwx8OfY0TF+2QZQU5Ogk6jQ6iIKC5ywO7ywe9RoSsKGiyeSD1rML55QV7QseA8xKIKJMlEzT1FepMu76id6ERm8uHYrN2gGf1Gmhe3C/+93jC2y0MN6hMBQYy3Kx8NHHTcKIkpHLzzXTdLDqyAhYFIfzz3prmpF4nRyfg8LkOdHsCyNGK6PYEcPhcB3J00f2jNpcPRm30bUatAJvLF/7doBXhk6Nf3ycD2p7UyNCmuqFNY33+QL9jGmpcv7xgh0WvgQABHU4fArICk16C3e1Hu9MLvUZEh9MLRZbh9Prh9slo7HQhEJCTPgZERJkkco86URRh7dmvbeuh+kGfO9zNrQcy0EblfZXlGaHXaHB9RQFumlmK6ysKoNdoRjXrJVXtaCbjZuWjR5U5c/v27cOTTz6Jjo4OrFu3DjNmzMDvfvc7NYpClJRUp0am40hOqvasqz7ZhmKTHj5ZgccvI1cvIU/UoPpkW9R8OKtRi25PIDgi18PlU6KO8apry7D1o3p4/DK0YjCQC8gKZo439+v5u6wgF1ajFhuXVUaVJ9S4drl96Oz2QSsFUylbuzzocvvglxU4PH50dvvg8voQ6sTN0YoQBaC22YFuXyCpY0BElEmGs0fdcFPNBxrNSma7hXTIeknl3q+ZKh2nkmRr6qsqwdyyZcuwbNkyNd6aaFjSoZEYaamqgJvtbhSb9RDF3sZXluV+FwVr5pcH58h5giNyLp8CbyCAH8+fEn5MaF5c5GqWS6YXoralGx+fbYfZqMXlRbkoMhvg9vnxcV173A3BPX4ZohDcRFZRBDi9fjg8fihQkGfUot3phdevQCMBZr0WgiCg2GyAX1Zgdye2xHaIWg1HtjZYRDSyhrNHHTC8DsqB0vKS2W5hxngrls4o6rdYymjWgekYyIy2dLteyubUV6ZZEiUhXVMjUylVqTIlFgO6PNEjWbEuCtYtugL/uuRy5Ogl2D0B5Ogl/OuSy6NG70KvZzFqodeKMGhFfNXaDZ0kQisJ8PgC+Ht9J2ov2vFJ3SXoJDGqsj7RZENZnhFdbj+0kgAFgD8gwx+Q4fHJ8PoDkAQBE8flYHJBLiQRUBRAK4koteohiQIURYHVmHj/V6jhCKWARpZlJKn1vkSU+dbML4fTE7zolmUZNpcPTo8fa+aXj/h7D5SWt+KqMmy6ZRosRi1aHF5YjFpsumVazHl8J5ps2H+iFTPHW3D7nAmYOd6C/SdaR7UOHMmU00yRbtdL2Zz6yq0JiJKUjqmRqZSqVRmT6Uldt+iKfsFbpL4rXnZ0+3HJ2YUrJ1rg8SvQawToJQF/r+9Erl6D2WWWcGUNRG8IbjXqEAi40dHtgzegQJYVGDQCLMbgKFxejg75OTo4vQFIkoCGS67w4i0zkzgGak3+5qRzIhqq4exRN1ypGs1KhzqQqxsHpdP1UjanvjKYI8oSie7Bk4hUVMCpvCjou+JlcKRMwJkWJ+6YOwFnWpywubxw+2UsnjEOhabeCjty7777F07BS/tP43SLAzlaDS4r0OFMixPegAKjtndyvUEroqM7uApamTU4wvhVqxN3X5t4eohaDUc2N1hENPIqikyYX1EQDkIqIvbtHEkDpeUls8pmutSB6RTIUHanvjKYI8oCkQ1drk7E2RYHHn7zC7zzeRMeWHqFag1Kqi4KbC4fLBErmUkCgJ695gpNBhSagumEx5vs0Guiq7XIynrGeCuuKLVAqxHDm5lbjBq4fDLsbh/yc3Xw+GXYPQGMt+phMWrhcPthMWpRWRx7w/N4Emk4RmJuWzY3WEQ0stScVzTQaFYyWxNkQx3Iec+pl25z+FKJc+aIskBoOWmNKKDZ7oUkCjBqRXxa36nafKlUzt2yGrVw+Xr3CDJoRfgCwa0Jai/a8MfDX+ONI+fR3uXG8Qu2AecpNHa64PEH0HCpGxc6XRARTNH0+RV09SxwoteImDXBElWGHL2UVM/uYHMmRmpu22jP1XjnWCNWbT6ERf/5HlZtPoR3jjWOyPsQ0chTe17RjPFWbFxWiWfvnoONyyrDAUwyWxNk+nw1znseGek2hy+VGMwRZYFQQ9fR7YVGDK7UqJNEuP0B1Sb4pvKiYM38cngDATg9AciyDF8AEEUFk8YZceB0OwIycFm+EVqNhK87utFic8WtrLvdPnx4ph0en4wcrQRZCW4+np+rxawyK26cVoxvTMrD6WYnPL4ATHoJHl+gZ2EVYYBSRhus4Ripi6bRbLBCI8J2ly8q9YkBHVFmSte9wRJdUAvI/It2tQPqbBavsyDTMc2SKAuElpP2+mXopGAfjS+gwKTXqNYQp3LeQmhxlK2H6sPpMz++cQqqT7ZBEMSodBqPL4CjjTYsmFoY87XqLwVH4yRRgCAIkERAI4ow6jR49u45AIBHdxyD0ud5CoDEQ7mggeZMjOS8jtGaqxG5wTAwcOoTEaW/dE1RTGZBLSCz56uly5w/6pXuaa8cmSPKAqHlpKEA/kAguNx+QMaciVbVGuLQVgCRhlOWhZXFuPsbk3DL7PG4+xuTsLCyuF/qTWhJ7S6XP256SpfHj4n5BkiSAG9AhiQJMBsknG5xhFMFv2pz4rqKcTBoJXR5/DBoJVxXMQ6eQN8Qb+hSfXzUkEzqExGlv3RNUUxma4JMlw1tQzbJhLRXjswRZYFQg/by+2dR1+aESa/Bgsn5KLYYVZvgm8rJxvEm5Zv1GnR5AuERoY5uL2QFsBg1/bYmCPWihUYxJ43LAQC0Ozw41+6EVhLDqYIXOl0waERcX1EQLoPN5UOxWYtUyYbJ2MPdYJiI0ks6L6m/4qqyrAze+sqGtiGbpMNWF4NhMEeUJUINXWQ6gNWoVa0hTuaiYLBtFeJVpuXjjPjigh1AcETI4fYDioI5E/PDz+2bntI3Xaex0wUBAiZYDRBFEVajCLfXjy8a7ZhcaBqxxjSdL5oSlWzqExGlv0xOUcwG2dA2ZJNMSHtlMEeUZdKpIU6kLInsHxSvMnV4gqk2oUDQZNBgvFmHNqcP5443w2TQoNSsx5SILRH67n8nKwomjjOg0Nz7+kVmPbo8ThxvskcFmKk+run0XQ2FmhsMZ7NnnnkG7733HrRaLcrLy/HUU0/BYrEM/kQiApD+c5wGk+ltQzZJ13mkkRjMEdGISaRBTWQRjYEq08jUm97AUIFZL8Hu8qGp04Wb+8z3iHzOqs2HYHf5ou5vc3gBCJg53oLrpuSjy+3H/hOtqCgypbSBzfQLDmDspD6Npm9961t46KGHoNFo8J//+Z/YvHkzHn74YbWLRZQR1NwrL1WyoW3IFpmQ9soFUIhoRCQ6aTiRRTQSnZRf2+zENeV5sBq1cHiD2zJcU56H2mZnv7I9v68WP33jcxTmaHGp2xt8bVmGzeVDu8OLKyeYR3Rp6EyYVE3quOGGG6DRBPta586di4sXL6pcIqLMkelL+2dT2xDZ1j6/rzYjP0MmbHXBkTkiGhGJThpOZBGNROcQNHa6UF6Qi8mFvWmVsqJE5bb37bXt0mtwmdOLbm8ALQ4vSiwG5Bk1uHLSuKjXTnWOfCZMqib1/fnPf8Ytt9wS9/4333wTeXl54d9nzZqFefPmwefzYdu2bf0eP3fuXMydOxfd3d3Yvn17v/uvvfZazJ49GzabDW+99Va/++fPn49p06ahra0Nu3fv7nf/woULUVFRgYsXL2Lv3r397l+yZAkmTZqE8+fPo7q6ut/9y5cvR2lpKc6ePYuDBw/2u/+2225DYWEhTp06hUOHDvW7/6677oLVakVNTQ2OHDnS7/5Vq1YhJycHR48exdGjR/vdv3r1ami1WnzyySf48ssv+92/du1aAMBHH32E2traqPu0Wi1Wr14NADhw4ADq6uqi7s/JycGqVasAAPv370dDQ0PU/RaLBStXrgQA7N27t18QX1BQgKqqKgDArl270N7eHnV/aWkpli9fDgDYsWMH7HZ71P0TJ07E0qVLAQDbt29Hd3d31P1TpkzBokWLAADbtm2DzxedsVBZWYkFCxYAALZs2YK+0uXca7rYBHPbl3BGbCYjQUFT/nQAlWl/7v3vvg9hbT0HjSjCheCFulWWsbcmBzPGWzPm3Ov2+tHU6YYkCci3FMGmn4VXDtZhlvtLaJTocysTzr2Ny3rPvY8bgY8j7h+tei8eBnNENCISnTSc6CIaicwhSCS3PVYQlaOT0NDpgrZnj778XB263P4RzZHPhEnVNHLWrl2Ltra2frdv2LAhfMH98ssvQ5Ik3H777aNdPKKMVWw2wNGiQCP2BnMBWUGRSa9iqRLX6fIiR4ze1VQShYxrGzqcPkiSAI0oQhB6OyybW9woM0uDPJuSISiKkrqNk1KooaEBS5YsQXV1NSZOTJ+8VCJKzPP7avsFVqHfNy6rjHrsYKtZJvqYyFG3yNz2yJSIn77xOcZbDRCFYGN5utmOD063QRQFVBab0OUJ4JLTg8sKcjFzgjXu64zm8aGxZ8eOHfjTn/6ELVu2wGjs34nANpIotkTagXSWLW1D37YWCGbKNNncePbuOSqWLPtwzhwRjYhkNp9dcVUZtq+bjwMPfwfb182PGcg9vecU7C5f1IqX7xxrjHpcIrntfTdkPdpggySKMOk1PVsTaDEuVw9nz5y7kcqRT9fNeUl9Bw8exKuvvoqXX345ZiBHRPFlwhyngWRL28DNz0cP0yyJaESkcq+cRFa8jHzfgd6j38pULh90GhHjcnThx5j1Eloc3hHtBU2nvYS4clp6efLJJ+H1evHDH/4QADBnzhw88cQTKpeKKHNk8tL+6dQ2DEcmrAKZLRjMEdGISVWD2mx3o9iki7qt74qXyZQpsqE0G7XQiQJy9b3VYd8FWEZKOlxwZMMy3tlm3759aheBiFSUDm3DcGVLUJoJGMwRUdpLZMXLZEQ2lKEUTpvLN+ACLNmKq2oSEdFIyIagNBMwmCOitJfoipdDEUrTjFxc5YHFU1FRZMLz+2qzPvWQq2oSESWP6emULhjMEVHaixdw9Z0vN5zXj3ytsZR6mMh2DkRE1GsstRGU/riaJRFlhIoiE+ZXFGDe5HzMryhARZFp8CcNUWTqoSgI4Z/31jSP2HuqJVtWTiMiGi1jqY2g9MdgjojSXqgX1ObyRfWCnmiyjcj7NXa6YDZEJy5ka+phpi/jTUQ02sZSG0Hpj2mWRJT2RnuRjrGWeshJ6kREiRtrbQSlN47MEVHaG+1eUKYeEhFRPGwjKJ1wZI6I0t5o94IOdX8crm5GRJT9uIcapRNVgrlnnnkG7733HrRaLcrLy/HUU0/BYrGoURQiygDLZ5fglYN1AIIjcl1uP2wuH/5h3sQRe89kUw+5uhkR0djB9HRKF6qkWX7rW9/C7t27sWvXLkyePBmbN29WoxhElCEyYZEOrm5GREREo02Vkbkbbrgh/PPcuXOxd+/euI998803kZeXF/591qxZmDdvHnw+H7Zt29bv8XPnzsXcuXPR3d2N7du397v/2muvxezZs2Gz2fDWW2/1u3/+/PmYNm0a2trasHv37n73L1y4EBUVFbh48WLMci9ZsgSTJk3C+fPnUV1d3e/+5cuXo7S0FGfPnsXBgwf73X/bbbehsLAQp06dwqFDh/rdf9ddd8FqtaKmpgZHjhzpd/+qVauQk5ODo0eP4ujRo/3uX716NbRaLT755BN8+eWX/e5fu3YtAOCjjz5CbW1t1H1arRarV68GABw4cAB1dXVR9+fk5GDVqlUAgP3796OhoSHqfovFgpUrVwIA9u7di4sXL0bdX1BQgKqqKgDArl270N7eHnV/aWkpli9fDgDYsWMH7HZ71P0TJ07E0qVLAQDbt29Hd3d31P1TpkzBokWLAADbtm2Dz+eLur+yshILFiwAAGzZsgV98dxT/9ybMd7ac+59ho8bgY977k+Hc6+xswjjrQZ0n/wAit8LAJCgoMMv44CuiedeAuceERERJUf1BVD+/Oc/Y+HChWoXg4hoWMryjOhy+6NuC8gK9BpJpRIRERFRthMURVFG4oXXrl2Ltra2frdv2LAhPHry8ssvo6amBr/5zW8gCELU4xoaGrBkyRJUV1dj4sSRmxdDRJQKkXPmIuf1pVs6KGUHtpFERASMYJplrFShSDt27MD777+PLVu29AvkiIgyDVc3IyIiotGmypy5gwcP4tVXX8Xrr78Oo5EbLBJRduDqZkRERDSaVAnmnnzySXi9Xvzwhz8EAMyZMwdPPPGEGkUhIiIiIiLKSKoEc/v27VPjbYmIiIiIiLKGKsEcERERERFRtnrnWCO2HqpHs92NEosBa+aXY8VVZSl/HwZzREREREREKfLOsUY8vecUcvUaFJt0sLt8eHrPKQBIeUDHYI6IiIiIiDLWiSZb1GrSy2eXqLog2dZD9cjVa2A1agEAVqMYvj3VwZzqm4YTERERERENRWifV5vLh/FWA2wuH145WIcTTTbVytRsd8Osl6JuM+slNNvdKX8vBnNERERERJSR9tY0w2rUwmrUQhSE8M97a5pVK1OJxYAuTyDqti5PACUWQ8rfi8EcERERERFlpMZOF8yG6JljZoMGjZ0ulUoErJlfDqfHD5vLB1mWYXP54PT4sWZ+ecrfi3PmiIiIiIgoI5XlGWFz+cLz0wCgy+1HWZ5RtTKF5sVFrmb5wOKpXM2SiIgo273wwguorq6GKIooKCjAU089hZKSErWLRUSUlpbPLsErB+sABEfkutzBEbF/mDdR1XKtuKpsRIK3vphmSURElEZ+9KMfYdeuXdi5cyduvPFG/Pa3v1W7SEREaWvGeCvuXzgFVqMWTTY3rEYt7l84RdXVLEcTR+aIiIjSiMlkCv/scrkgCIKKpSEiSn8zxlvHTPDWF4M5IiKiNPP888/j7bffhtlsxu9//3u1i0NERGmKwRwREdEoW7t2Ldra2vrdvmHDBixduhQbN27Exo0bsXnzZrz++utYv369CqUkIqJ0x2COiIholG3ZsiWhx1VVVeH+++9nMEdERDFxARQiIqI0cu7cufDP1dXVqKioUK8wRESU1jgyR0RElEaee+451NXVQRAElJWV4fHHH1e7SESkkkceeQTvv/8+CgoKsHv3bgDASy+9hO3btyM/Px8A8OCDD2LRokVoaGjArbfeiilTpgAA5syZgyeeeEK1stPoYDBHRESURl566SW1i0BEaWLlypX4wQ9+gJ///OdRt69duxb33Xdfv8eXl5dj586do1U8SgNMsyQiIiIiSkPz5s2D1To2l9ynxDCYIyIiIiLKINu2bUNVVRUeeeQR2Gy28O0NDQ2488478YMf/ABHjhxRsYQ0WhjMERERERFliHvuuQf79u3Dzp07UVxcjKeffhoAUFxcjPfeew9vv/02Nm3ahIceeggOh0Pl0tJI45w5IiKVvHOsEVsP1aPZ7kaJxYA188ux4qoytYtFREQq6ts2VE3VRd1fWFgY/vnuu+/GP/3TPwEAdDoddLrgY2fPno3y8nLU1dXhyiuvHL3C06jjyBwRkQreOdaIp/ecgt3lQ7FJB7vLh6f3nMI7xxrVLhoREakkVtvw8vtn0eX2hR/T0tIS/nn//v244oorAAAdHR0IBAIAgPPnz+PcuXOYNGnS6H4AGnUcmSMiUsHWQ/XI1WtgNWoBAFajGL6do3NERGNT37bh0v9tRtf5kwi4HVi4cCEeeOABHD58GCdPngQAlJWVhbcf+OSTT/Diiy9Co9FAFEU8/vjjyMvLU+uj0ChhMEdEpIJmuxvFpujUGbNeQrPdrVKJiIhIbX3bhskrfgxZltHi8OLAw98BEEytjOXmm2/GzTffPCrlpPTBNEsiIhWUWAzo8gSibuvyBFBiMahUIiIiUhvbBkoWgzkiIhWsmV8Op8cPm8sHWZZhc/ng9PixZn652kUjIiKVsG2gZDHNkohIBaF5cZErlj2weCrnyxERjWFsGyhZDOaIiFSy4qoyNtBERBSFbQMlQ5Vg7oUXXkB1dTVEUURBQQGeeuoplJSUqFEUIiIiIiKijKTKnLkf/ehH2LVrF3bu3Ikbb7wRv/3tb9UoBhERERERUcZSJZgzmUzhn10uFwRBUKMYREREREREGUu1OXPPP/883n77bZjNZvz+979XqxhEREREREQZacSCubVr16Ktra3f7Rs2bMDSpUuxceNGbNy4EZs3b8brr7+O9evXj1RRiIiIiIiIss6IBXNbtmxJ6HFVVVW4//77GcwRERERERElQZU5c+fOnQv/XF1djYqKCjWKQURERERElLFUmTP33HPPoa6uDoIgoKysDI8//rgaxSAiIiIiIspYqgRzL730khpvS0RERERElDVUSbMkIiIiIiKi4WEwR0RERERElIEYzBEREREREWUgBnNERERp6LXXXsO0adPQ0dGhdlGIiChNMZgjIiJKM01NTfjrX/+KCRMmqF0UIiJKYwzmiIiI0sxTTz2Fhx9+GIIgqF0UIiJKYwzmiIiI0sj+/ftRXFyM6dOnq10UIiJKc6rsM0dERDSWrV27Fm1tbf1u37BhAzZv3ozXXntNhVIREVGmSdtgLhAIAAAuXryockmIiGi0lJaWQqNJ26YpZbZs2RLz9lOnTqGhoQF33HEHgGAbuHLlSrzxxhsoKioKP45tJBHR2BKvfRQURVFUKM+gjhw5gtWrV6tdDCIiGkXV1dWYOHGi2sVIG4sXL8abb76J/Pz8qNvZRhIRjS3x2se07f6cPXs2tm3bhqKiIkiSpHZxiIhoFJSWlqpdhIzANpKIaGyJ1z6m7cgcERERERERxcfVLImIiIiIiDJQ2qZZpovFixcjNzcXoihCkiTs2LFD7SKlzCOPPIL3338fBQUF2L17NwCgs7MTGzduRGNjI8rKyvDCCy/AarWqXNLUiPV5X3rpJWzfvj08H+XBBx/EokWL1CxmSjQ1NeFnP/sZ2tvbIQgCVq1ahTVr1mTt9xvv82bj9+vxeLB69Wp4vV4EAgHcfPPNWL9+Pc6fP48HH3wQnZ2dmDVrFn71q19Bp9OpXVwiAGOr/k3EWKujBzOW6vBEsa6PFu94bNq0CYcPH4bZbAYAPP3005gxY4bKpR1lCg3oO9/5jtLe3q52MUbE4cOHlZqaGmXFihXh25555hll8+bNiqIoyubNm5Vf/epXahUv5WJ93hdffFF59dVXVSzVyGhublZqamoURVGUrq4u5aabblJOnz6dtd9vvM+bjd+vLMuKw+FQFEVRvF6v8r3vfU/57LPPlPXr1yu7d+9WFEVR/v3f/13Ztm2bmsUkijKW6t9EjLU6ejBjqQ5PFOv6aPGOx89//nNlz549KpdOXUyzHMPmzZvXr8evuroad955JwDgzjvvxP79+1Uo2ciI9XmzVXFxMWbNmgUAMJlMqKioQHNzc9Z+v/E+bzYSBAG5ubkAAL/fD7/fD0EQ8Le//Q0333wzAOCuu+5CdXW1msUkijKW6t9EjLU6ejBjqQ5PFOv6aPGOB3HOXELuu+8+rFy5En/605/ULsqIa29vR3FxMQCgqKgI7e3tKpdo5G3btg1VVVV45JFHYLPZ1C5OyjU0NODEiROYM2fOmPh+Iz8vkJ3fbyAQwB133IEFCxZgwYIFmDRpEiwWS3j/mdLS0jF/IUSZIRv/PpM11urowYyFOjxRrOuj9T0eoXPk+eefR1VVFX75y1/C6/WqXMrRx2BuEH/84x/x1ltv4b//+7+xbds2fPLJJ2oXadQIgpD1vR733HMP9u3bh507d6K4uBhPP/202kVKKafTifXr1+Pf/u3fYDKZou7Lxu+37+fN1u9XkiTs3LkTBw4cwLFjx3D27Fm1i0SUtGz9+0zGWKujBzNW6vBEsa6P1vd41NbW4sEHH8TevXvx5z//GTabDa+88oraxRx1DOYGUVJSAgAoKCjAsmXLcOzYMZVLNLIKCgrQ0tICAGhpaem3UW22KSwshCRJEEURd999N7744gu1i5QyPp8P69evR1VVFW666SYA2f39xvq82fz9AoDFYsF1112Ho0ePwm63w+/3AwAuXrwYrruI0lW2/30OZqzV0YMZi3V4oljXRwsdjw8++ADFxcUQBAE6nQ4rV64ck+cIg7kBdHd3w+FwhH/+61//iiuuuELlUo2sxYsX4+233wYAvP3221iyZIm6BRphoUYTAPbv358136+iKHj00UdRUVGBH/7wh+Hbs/X7jfd5s/H77ejogN1uBwC43W589NFHmDp1Kq677jr85S9/AQC89dZbWLx4sZrFJBpUNv59Jmqs1dGDGUt1eKJY10eLdTwqKirC54iiKGPuHAnhpuEDOH/+PH7yk58ACObp3nbbbfjxj3+scqlS58EHH8Thw4dx6dIlFBQU4IEHHsDSpUuxYcMGNDU1YcKECXjhhReQl5endlFTItbnPXz4ME6ePAkAKCsrwxNPPBGer5DJjhw5gtWrV6OyshKiGOyzefDBB3HVVVdl5fcb7/Pu3r07677fkydPYtOmTQgEAlAUBcuXL8e//Mu/4Pz589i4cSNsNhtmzJiBZ599dkwsV02ZYSzVv4kYa3X0YMZSHZ4o1vXR4h2Pf/zHf8SlS5egKAqmT5+Oxx9/PLxQyljBYI6IiIiIiCgDMc2SiIiIiIgoAzGYIyIiIiIiykAM5oiIiIiIiDIQgzkiIiIiIqIMxGCOiIiIiIgoAzGYI4pjxowZuOOOO8L/Ghoa8P3vfx8A0NDQgF27doUfe+LECRw4cCDp97j33ntTssFlql6HiIhoMGwfidKHRu0CEKUrg8GAnTt3Rt32P//zPwCAxsZG7N69G1VVVQCCjVVNTQ0WLVo06uUkIiIaTWwfidIHR+aIknD11VcDAJ577jkcOXIEd9xxB1555RW8+OKLePfdd3HHHXfg3XffRXd3Nx555BF873vfw5133on9+/cDANxuNzZu3IhbbrkFP/nJT+B2u/u9x8GDB7F+/frw7x9//DHWrVsHAPjFL36BlStXYsWKFXjxxRcHLCMA7N27F5s2bQIAdHR04IEHHsB3v/tdfPe738Wnn34KADh8+HC4d/XOO++Ew+FIwZEiIqKxhO0jkTo4MkcUh9vtxh133AEAmDhxIn7729+G73vooYfw2muvYfPmzQCAwsJC1NTU4LHHHgMA/Nd//Reuv/56PPXUU7Db7bj77ruxYMEC/OlPf4LBYMCePXtw8uRJrFy5st/7LliwAI899hi6u7uRk5ODd999F7feeisAYOPGjcjLy0MgEMDatWtx8uRJTJ8+PaHP8x//8R9Ys2YNrr32Wly4cAH33Xcf9uzZg9deew2PPfYYvvGNb8DpdEKv1w/ruBERUXZj+0iUPhjMEcURK40kUR9++CH+7//+D6+99hoAwOPxoKmpCZ988gnuvfdeAMD06dMxbdq0fs/VaDT49re/jffeew8333wzDhw4gIcffhgAsGfPHmzfvh1+vx+tra346quvEm6sPvroI5w5cyb8u8PhgNPpxDXXXIOnn34aVVVVuOmmm5Cbmzukz0xERGMD20ei9MFgjmiEvPjii6ioqBjSc2+99VZs27YNVqsVs2fPhslkwvnz5/Haa6/hzTffhNVqxaZNm+DxeAZ8ncj7ZVnG9u3b+/Us3n///Vi0aBEOHDiAe+65B6+++iqmTp06pHITERENhu0jUepwzhzREOTm5sLpdMb9/YYbbsDrr78ORVEAAMePHwcAzJs3D7t37wYA1NbW4tSpUzFf/5vf/CaOHz+O7du3h1NInE4njEYjzGYz2tracPDgwZjPLSwsxFdffQVZlsNzEUJl+sMf/hD+/cSJEwCA+vp6TJs2Dffffz+uvPJK1NXVJX08iIiIALaPRKONwRzREEybNg2iKOL222/Hli1bcN111+HMmTPhCd7//M//DL/fj9tvvx0rVqzAr3/9awDAPffcg+7ubtxyyy148cUXMWvWrJivL0kSbrzxRnzwwQf4zne+AyCYdjJz5kzccssteOihh3DNNdfEfO5DDz2EdevW4fvf/z6KiorCtz/66KOoqalBVVUVbr31Vvzxj38EAGzduhW33XYbqqqqoNFosHDhwlQeKiIiGkPYPhKNLkEJdY0QERERERFRxuDIHBERERERUQZiMEdERERERJSBGMwRERERERFlIAZzREREREREGYjBHBERERERUQZiMEdERERERJSBGMwRERERERFlIAZzREREREREGej/B1CwqN/q7TCtAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "linear_regression.residuals_vs_fitted(model_linear, ax=ax1, studentized=True)\n", + "linear_regression.residuals_vs_fitted(model_quad, ax=ax2, studentized=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 5. High Leverage Points" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "linear_regression.leverage(model_linear, ax1)\n", + "linear_regression.leverage(model_quad, ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 6. Collinearity" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n", + "sns.scatterplot(data=credit, x=\"Limit\", y=\"Age\", ax=ax1)\n", + "sns.scatterplot(data=credit, x=\"Limit\", y=\"Rating\", ax=ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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2X3lF+v136bnnrI1R27ZS7ty27fno0eA8d65cVjBr/Hhp6VKpWDFntosDAAAA8B+JbggoXFiqVEmaOlU6fz74z/fll9KGDdKTT0rZsgX/+a4kOlrq3Vv68UfrfRsTIw0dagnvyJFW2TnQIiKs7dCGDVLmzFL9+lK/ftKpU4F/LgAAAADBQ6IbIh54wIolffhh8J9rwwb7Wrdu8J/reiIirHrzsmXWu7dqVWnECClPHunxx4NTuKp4cdtC3auXnVMuX17ati3wzwMAAAAgOEh0Q0SzZlL27NKkScF/rg0b7Lluvjn4z5UQpUpZT+FvvrEew489Zu2Jxo6V/v47sM+VKpX0wgv2fL/+as89cyaFqgAAAIBQQKIbIpInl7p1s5XN7duD+1zff584PW19FRMjvfuurfBWqmRFs/LmtfO1J08G9rkaN5a+/VYqXdpaLbVvH/ikGgAAAEBgkeiGkK5dpchIW2kMpp07baXU7UqVkt57T/r8c+nOO6WBA+0889y5gV15veUWacUKW0GeM8ee69tvA3d9AAAAAIFFohtCcua01jvTpgW3/U1UVGht0S1b1iokr1ghpU8vtWkjVaggrV8fuOeIjLSzwR9/LB07JpUrZ8XBQul9AgAAAJIKEt0Q88gj0vHjwV3VTZvWkrlQU6OGbWd+9VVblS5f3loT7d4duOeoWlXauNG+dutm12crMwAAAOAuJLoh5o47pCZNLNENVoIVqomuZCuv990n/fSTtSN65x2pUCHbdvzPP4F5jqxZ7az0mDG2Tbp0aWnTpsBcGwAAAID/SHRD0KBB0uHD0pQpwbl+2rShv0qZNq00apT14W3c2FoRFS5siW8gthtHREiDB0srV9p7Vbas9MorbGUGAAAA3IBENwSVLSvVqiU9/bRtYw60W26Rfvkl8Nd1Qu7cVkBqzRopUyapeXOpUSNrGRQIVarYVuYqVaxYWMeOwfmeAAAAALhxJLohasQIaf9+6eWXA3/t0qUtETxwIPDXdkrFitKXX0oTJlhBqTvusHZEZ8/6f+34rcyPPSa98YZ01122dRoAAACAM0h0Q1SlSraq++STgV9BLF3avn71VWCv67SoKOmhh6QtW+y9GzjQXuvnn/t/7fiqzMuWSb/9Ztd95x3/rwsAAAAg4Uh0Q9hjjwVnVbdUKcnjsRXQcHTrrdKiRZaIHjxo1Zl79ZKOHvX/2nXrSt98Y+eBmze3ZDoQq8YAAAAAbhyJbgirWFGqXVsaNy4wSVq86Gjp9tvtXGs4a9pU+uEH6cEHpcmTbTvz0qX+X/fWW6XVq6WePW17dN264bUNHAAAAHA7Et0QN26crUo+/XRgr1uvnlUUDtU2QzcqOlp67jlp/XopQwapYUMrKHX4sH/XTZFCevFFacYM6bPPbCvz118HImIAAAAA10OiG+LuvFNq08aKLP3+e+CuGxsrnT4tLV8euGu6WdmytlV76FBp1iypaFHp/ff9v26HDpboSrYC//rr/l8TAAAAwLWR6IaBMWPsHOiIEYG7ZqVKUrp00uLFgbum26VIYb13P//cWhHFxkqdOklHjvh33TvvtCS6fHlLfHv3ls6cCUzMAAD3O37cKv6H+y4pAHATEt0wkDev9MAD0vTp0vffB+aayZLZ9uUlS6Rz5wJzzVARn5gOGWLtgooVsw8o/siSRfrf/6R+/aQXXpBq1rRCYgCA8PbPP1L+/Pb/fu3aTkcDAEkHiW6YGDrUzpsOGBC4a7ZoYcmYv0leKEqeXBo9Wlq3Tkqd2j6g9OsnnTjh+zWjoqRnnrGt0Rs2cG4XAJKC1Kmt2KEk5cvnbCwAkJSQ6IaJTJmkYcOkDz6wX4EQG2vbl2fNCsz1QlGZMpaM9uolTZxoyek33/h3zbZtL1a0rlRJeustv8MEALiUxyN9+KF1R5g50+loACDpINENIw88YLPF/fsHpndrypRSy5bS22/b1qukKnVq22784YfSX39J5cpZtWt/tnTHb4++807p7rulQYOS3hZxAEgqIiOlm26yr5IlvQMGBKboIQDgykh0w0iKFNJTT1lv2FdeCcw127WzJHfhwsBcL5TVqSN9953UpIk0eLBUtaq0Y4fv18uaVVqxQurWTXriCalRI/8LXwEA3G3/fitOOGGC7Zzq0EHyep2OCgDCD4lumGnaVKpWzc7s/vmn/9erXFm67TbppZf8v1Y4yJhRmjvXtnNv3izFxEjz5/t+veTJpZdftvf3f/+T7rpL2r49YOECAFzm55+lLVsu/nnxYunvv52LBwDCFYlumPF4bJvtkSO2HdZfERHWDuezz6yAEuw9bttW2rjRCoy0aiV17+5foaru3a1n8YED1tM3KRYAA4CkoHx5OxJUqZJ1N9i40YpJ7t5tW5oBAIFBohuGihaV+vaVpk2znrD+uu8+G4Sffdb/a4WTPHmk1aulRx6RpkyxBPWHH3y/XtWq0hdfSDly2DZpVtEBIDw1bSp9+qm0bJl0663Srl02cXrbbVad/9QppyMEgNBHohumRoywhKlnT/+LHEVHS126SPPm2YwzLkqWzM7XfvCBtG+fVWmeMcP36+XNay2N6ta1712vXoEpLAYAcK8+faTz56VSpaygZKFC1sf9/HmnIwOA0EWiG6Zuuslmhb/+OjArg71729eJE/2/VjiqW1f69luryNypk9Sxo++VqqOjpffes4qcL74oNWxIkSoACFc//2wFH0uVkh56yNrY/fqrdO+9truH1V0A8A2Jbhhr1UqqXdsqBP/2m3/XuvVWa4MzZUpgilyFoxw5pI8+koYPl15/3ZLefxccSYjISOnpp237+ccfSxUrSjt3BjRcAIAL5M1rk8lr1kgNGlihw1q1rB7EihWW7B465HSUABB6SHTDmMdjq7lnzlxckfXHoEG2Svncc/5fK1xFRkqPP249d/fvt63Mc+b4fr3OnW1b9J49ljgH4sw1AMA9PB4bV//4w/rq/vmn1dnweqUHHpDWr7fJTn/a2QFAUkSiG+by5bMVxnfesRYG/rjjDqlZM+n55921ldbrtQ8Aa9dKmzbZ7w8edPZsa+3a0jffSCVLSvfcY+dtfd1+VrOmndtNk8ZaRy1YENBQAQAukD27reimTm07eVKksJ09H30k7d1r7efofgAAN45ENwno318qUsRmhv3t1Td4sCW5L74YmNj88d13dhY2Rw7b+lWxolSihP0+SxYpbVqpShVL9FeskI4fT9z4br7ZPqwMHGgr6/7MyN9+u63mlioltWwpPfmkJfgAgPCzcqWN2ylT2ji2dq0lwJUrS2+95XR0ABAaSHSTgOTJpVdese2vQ4b4d60775RiY6WnnnL2zFC/flLx4ra6WauWJd7Llknz50vTp9s2sJ49rbftmDF2n8yZ7Zzx++/bdu7EkCyZvVeLFknbt9v79+GHvl0rSxZL2Fu3lh59VOrRg4rMABCOSpSwYpIDB9qk5u23W/u5cuVslxDt5wDg+qKcDgCJo3x5W9GdNElq00aqUMH3a40da4Pw2LHS+PGBi/FGLV1q1Z87d7YkMmPGa9//6FEr8rFkiTR3rs2GZ8liSW+3brYlO9gaNZK++sp6J9avL40ebWeePZ6EXSdlSunNN63X4hNPWO/FuXOtyjYAIDy8+qrtSpowwf7fHz3axq0PPrDJzp49bbJ58OCEjyMAkFSwopuEjB0r5col3X+/f+0KihWTOnSQXnjBWiAkpiNHpK5dbUvXiy9eP8mVrF1PgwbS5MlW7GPRIqlqVenll+061avbynCwV3nz5bOztm3a2Mp68+aWhCdURIQ0bpxVwP7f/+y1/P574OMFADgjIsLqYXTpYruSxo2zv0+VSnr7baldO2noUCtalVg7lAAg1JDoJiE33WTJ0ZYtNnD6Y+RIG4iHDQtMbDdqwABLVl97zQp1JFTy5La6On++beV+4gk7N9uypa2SPvusbXcOljRppNmz7Xnee8+2oW3d6tu1una1AmPbtlmRks2bAxsrAMA58Z0T2ra1ldv4PvbJkkkzZ1qS+/zzUo0aNi4CAC5FopvE1KtnM8Hjxtn5H1/lymUti2bNsi25ieH4cdvO1aOHte3xV5Ys0iOPSD//bAljwYLSQw9J+fPbh4vTp/1/jivxeOwDyooV1kbirrukAwd8u1b9+tKnn9pZ3UqVrIAJACA8REZKM2bYDqB+/aTHHrMzuxERNmE6e7ZV+K9YUfrlF6ejBQB3IdFNgp57zgozdejg3xbmwYPtOv36JU4F4CNH7HmKFQvsdSMjrcDWxx9Lq1bZym7PnlLhwpbInz8f2OeLV7Wq9OWXVkE5S5br3//YsSv/fcmS1mfx5pttIoOKnAAQPqKirB97p07Wp/3xxy/eds89NsF55IhNdn7/vXNxAoDbkOgmQRkzStOm2VbXfw+YCZUunTRqlK0ovvNO4OK7mvjevdHRwXuOqlXt9SxbJqVPL7Vvb5WS//e/4DzfrbfaFuTr2bNH6tPHtp5f7Tpr1tjq8N13W5Ew2g8BQHhIlszG7fvus3F71KiLt5UpI61ebb+vVMnO8AIASHSTrIYNbXb4ySetP6uvOneWiha1FggnTwYuviuJL9yULl1wn8fjsZXRL7+0bWF//SXVrSvVri1t2hTc576a9Olt5v61165+LjpDBmtd1KqVfT/69pXOnUvMKAEAwRIRIU2dKt17r/WHf+KJi7cVKWK9dgsUkFq0sCM+waw3AQChgEQ3CXv2Wdvu2qGDnX/1RVSUXWfHDvsaTH//bV/TpAnu88SLiLDk8scfrQjIN99IpUrZOd6rbSMOltSppZo1bbX5m2+kvXuvfL+UKW2LW79+VqSkTZvgT0AAABJHZKT1ir/nHmtRN3Lkxd07efLYzp6BA62rQMWKvtd/AIBwQKKbhKVLZyuEW7daUSZf1apl/WFHjbKEN1hy5bKvP/8cvOe4khQpbNvwtm3WmunZZ6Xbb5cWLgzu8/77bHDE//9LnTNHOnjQtm9v337lFduICOmZZ6z/4oIFthr911/BjRUAkDgiI63qcocO0ogR1mYoPtlNntz6yy9ebJO0VarYVwBIikh0k7iaNW2L66RJtu3VV889ZwnWgw8G72xo/vyWnG/YEJzrX0/GjDZLvnatbRNu2lRq3FjatSs4z/fbb9LOndLy5XbmdsgQqwY9YIAlrsuW2Zncq/XQfegh23q9bp192KHXLgCEh6goW9nt0kUaO/bSZFeyAosffGATo6VLW2FFAEhqSHShcePsfE/HjjYo+iJXLiuQ8f77wVvpjIiwAdupRDde+fLWUumppywJveMOW+U9ezYw1/d6bat0/vw2Wz9/vq0m580rvfKKnb/KmdO2JW/ZYsn31SYX7rnHvic7dkgVKvjesxcA4C4REfb/f9euluwOGXLpWFClirRxoxVUbN/eCln5ekwJAEIRiS6UMqWt/P35p9Stm+8rsr17S8WL29f487SBVqaMFYRy+txpsmR2Dur7761S80MPSWXL2vlZf3k81uu4QgXbNj1lihUgiS/8FW/QIPt+de9uj7ma2rWtbdLx43Zm64sv/I8RAOC8iAjb6dOtm01aP/ropWP4zTdbz/ahQ60fb9my9NsFkHSQ6EKSVKKENGaMtQmaPt23ayRLZrPLv/1mM8vBUKmSdOaMJW5ukCePtGSJNG+e9McfUrly9mHD32rHmTNbX9+DB6XWrS+ffHj4YUv2e/Wy1d3rufNO23KdLp1Uo4atRAMAQl9EhDR5slVafuopmyj992RwVJTV0PjwQxunKlaUvvvOuXgBILGQ6OKC/v0tCerd2/ctruXL2zndSZOkzz4LbHySFb6KjrbE0i08HqllS1vdbdJEGjxYqlbN/8JcHo9NPDRoYB9K4rdGP/nkxQJit912+eOutiKfP79V5Myb19pL0WsRAMJDRIT04ou2hfnNN22s/O9RpNq1rXJ/ZKRta163zplYASCxkOjigogI6fXXbSvzPfdIp0/7dp0xY6Rbb7WttoHeYpwihSWT777re3zBkjGjNHeuvYfffmur5DNn+l+cq0MH+2DSqpX02GPS+vVWkOqOOy6/77lz197GnCOH9Mkndta5VStp2jT/YgMAuIPHY0da5s61PvB33XX5pPUdd9iEZ+bMlgz/73/OxAoAiYFEF5e4+Wbp1Velr7+Whg3z7Rpp09qZ0q1bbbtUoLVqZVWHP/oo8Nf2l8djRT82bZJiYqzAV5s20uHD/l23SBFbJR492q5bubIlv/92/vzFv2vb1ipC/7tFUbwMGezDTZ06VrHzqaf8iw0A4B6tWkkrV0pHj1qthx9+uPT2+H67BQtadWZfjysBgNuR6OIyTZpYYYunnvI9maxTx5K8J5+0CsWBVLu2lD69rZa6VZ489kFj7FjbfhwT4/9W7t69pUWLrKDI559f/Pv4FeP4XrsDB0r79tnqbVyc/f6/0qSxa7VpY1ugBw0KXlsoAEDiKl/etiYnTy5Vr247gf4tWzYbo6pVs91Xw4YxBgAIPyS6uKJnnrEtTu3bXzlRutFrZM1qCe+pU4GLLXlyqzT89tvSTz8F7rqBFhlpCeTatVYMpGpV29btT6Gqhg2tgmZMzMW/+/dW5fnzrQLn0qVWGKxkSUt8ryR5cuut2L279MQTVtjqSivAAIDQky+fFTVMm9YS2jlzLr09fXobKzp3tt1CvXszBgAILyS6uKLUqe2cz5Ej0r33+jb4ZchgZ0A3b5ZGjgxsfH37WqIWCttuy5SxtkMtW1qLh7p1pb17fb9e3rx2VnnePGn8ePu7+Jn4YsWsyMhDD9mfR4+2hPdqIiOtWufAgfa1Y8fA9QMGADjr9tttB1DZslZ7Y8SIS1duo6KsP3v//lZEskMH62wAAOGARBdXVbSo9Nxzdp7z6ad9u0aDBtak/oknAtu/NVs2m4WeOVPasydw1w2W6GirhPnKK7bCW6KE/0VAmjWzc7iS9ciVpMKFbYb+jz/sDNa5czZp8eef0v790oYNl1/H47Et5qNHS2+8YQl5IFfgAQDOyZzZjiF17GiTzoMHX3q7x2Nj/OjRtsundm0bLwAg1JHo4pq6dLHEZ8gQ31sRPPOMFbnq0EE6cSJwsQ0caDPTvibhic3jke6/35LNLFlsZXfIEN+3MkdFSQUKWKGRdu0utpI4ckT6/Xfpn39sxfann2xSYMgQW50fM+bKsQ0ZIj3/vLRwoZ3t/ecfn18qAMBFUqSwolPxR1WGD790ZTd+DHjjDVsBvvNO240FAKGMRBfX5PFYBeVbb5Vat7aVwYRKl84G2B9/tMJHgZI7t50hnjIlNFZ14xUpYqvbnTtbsaoGDaRDh3y/3h132Pa0pk2t4Mi4cVKpUlaM5NAhayFRsaKtzq9caa2ZrtYn+cEHpddes3PA9etb1U4AQOjzeGx7cqdO1hGhffvLWwC2a2eFE8+ds7oSV9oFBAChgkQX15U+vRU52rfP9/O6tWrZudoXXpA+/DBwsQ0fbvGMHh24ayaG1Knt/PLUqdKqVdbXdtMm3683dqx9QHnxRdt23LatbZeuW9cS4IEDbUY/VSorUJUhw9Wv1bGjbbOOirq8hRGApOfUqVNq0aKFGjVqpIYNG+r55593OiT4KDLSWgiOHi3Nnm1j83/b35UqZUdfoqOlmjXptQsgdJHo4obceac0caKd//S1ANS4cbaa2bHjxW22/sqTx7ZXv/qq9MsvgblmYurSRfrkE0tOy5eX3nrL92t162ar288+a70Tx4+3wlUTJ9rtkZGWXP/6q32AuZbWrW1VN00a3+MBEB6SJ0+umTNn6r333tPChQv16aefauPGjU6HBR/Fb1OeO9dWbOvWtSMv/5Y3ryW7uXNL9erZkRcqMgMINSS6uGHdu1sCNGSIJWcJlTKlzSAfOiR17Rq4nn1Dhtjq42OPBeZ6ie2uu6zXcKlS0t132/ZuX8/tpk598fdnzkitWl3889tv22TDc8/Z9+J67/+/2xZdyfnzVk36yy99ixVAaPB4PErz/7NeZ8+e1dmzZ+W53n8QcL1WraQFC+z/8QYNpL//vvT2m2+24zBt2ljHgMaNL0+IAcDNSHRxwzweqxqcP78NfH/8kfBrlChhM8Pvvmurj4GQM6edLZ01K7CVnRNT9uy2gtqjh62YN2ni3/lYr9eKUK1YIR04YFvPH3zQ+ijefrslqf5+Tj12TPr2WzvnxdY2ILydO3dOjRs3VoUKFVShQgWVKFHC6ZAQAHFxtpPo88+lypWl3bsvvT1NGpugfuEF6YMPbCuzL7U6AMAJJLpIkJtuspXBo0dtNtiXfnsPPWRbpfr29e9c6r8NHWrJYvfuodsHNnly62U7ebK0bJkVkNqxw7dreTx2XnfnTmvvtHKl9dOtXduS3IgA/MuPjrZt6DNm2Pf055/9vyYAd4qMjNSiRYv0ySefaNOmTdq2bZvTISFAmje3Y0k7dkjlyl0+Lns8Uq9e0qJFVok5vjc8ALgdiS4SrGhRO+u5Zo308MMJf3xEhPT661YQqXXrwLSxiY62LbnffGOJYijr0cNmzvfskcqWlT791LfrpEplH15mzrT3plEj+3t/ktz47c5nzlzcXl2unJQjB1vagKQgOjpa5cqV06e+/scEV6pTx6otR0TYqu13311+nwYNrHjimTNWU2L69EQPEwAShEQXPrn7bqlPHyt05EsBpaxZbTvU1q02UxwILVrYSvHQodZHNpTVqmVbyTJksA8dM2f6fq2MGaVkyQITV3xye/asnbX++29bzY2OtuIl69ZJW7YE5rkAuMOhQ4d09P/PUpw8eVJr165V3rx5HY4KgVa0qCWyKVJINWpcOdm96y7p66+lSpWsRV6XLpe3KAIAt3BNovvkk0+qXr16iouL0wMPPHBhUIV7Pf20ba/t3Nm3xvI1alhSOmOGf4lcvPjtuqdPWxIe6goWtEIglSvbFuEhQwJX9fKHH6RmzRJ2DnjmTOvZ26mTFBtr26DvuccmFYYMsVn+gwftAxCLPUD42L9/v+69917FxcWpRYsWqlChgqpXr+50WAiC/PntqEvy5FL16tLatZffJ0sWaxM4ZIjt7qpe3b9e8AAQLK5JdCtWrKglS5Zo8eLFypMnj6YEqlIRgiZZMitylC6dFU/6by++GzF8uFStmm3X9SVZ/q98+aQRI6yS5Dvv+H89p2XMaNuY77//Yq/cU6f8v+6PP0qLF1uyeqMfUEqVko4ft23KK1bYtui5c21Fv1Qp+/CTL59tmV6zJnBVtQE4q3Dhwlq4cKEWL16sJUuWqFegtuHAlQoUsM4KGTLYhPTChZffJzLSevG+/bat8Fat6luBSgAIJtckupUqVVJUVJQkKSYmRnv37nU4ItyIHDksqdy1S2rbNuFtcaKirBJwdLRtPf5vewNfDBgglSwp9ewZHtUhkyWTpk611kBz5iQsOb2aZs3sA8rGjfZB5sCB6z+mWDHpo48s8X77bat2/e82RZs2Sb1727ntnj39r+oMAHBG/vx2FCUmRmrZ0v7Pv5JmzS4WsqpUKTT72QMIX65JdP/t7bffVpUqVZwOAzeoQgVrPbBsma2mJlT27LYq+NNPgemvmyyZ9NprluT27evftdzC45EefdQS3c8/t/fc3w8UjRrZqu62bTc+G3/77dYW6uOPpX37rHCJx2Mz+g89ZMVKOna0VX4AQOjKnNlax5Uta4Uj58+/8v1q1rQx4a+/LNkNxO4sAAiERE10O3bsqNjY2Mt+LV++/MJ9XnrpJUVGRqpRfIlYhISuXW177Zgxvm0ZrlbNtkG99VZgqiaXKCENHmy9dRcv9v96btGmja2q7t9vRUH87Rtcp45NUOzaZWeBd+26/mPKlLHV5R9+sD66e/dKAwfaud0uXWx1HgAQ+qKjbRdP+fJWhHLWrCvfL75DgMdjtTvorQ7ADaIS88lmzJhxzdvfeecdrVq1SjNmzJCHfY8hxeORJk2yKo333mtnfIoVS9g1HnnE2hv062dnPsuX9y+mIUOkd9+15Ou77+wMaTioUsW2lNWvb0VA3n5bqlfP9+tVrWrJc7169vuVK6U8ea79mOhom+0vX96+jhljie5NN/keBwDAfW66ySZEGzWS2re3yc0BAy6/3x13WAHFuDgbD958044kAYBTXLN1efXq1Zo2bZpeeuklpUqVyulw4IMUKWw1NzpaatzYKvAmRESE9MYbUq5cNjju2+dfPMmT2+zz4cOB2RLtJoUKWTXMQoXsQ8Ubb/h3vfLlrcDUX39Zsnsj26KLFbNZ++PH7c/X2q58+LC0enXot30CgKQobVpLdlu3th08o0Zd+X65clmLovjtzvTaBeAk1yS6o0aN0j///KNOnTqpcePGGj58uNMhwQc5c1qFxt9/l1q1spYzCZEhgyXLhw/bIHn2rH/xFC9uq40LFwamhZGbZM9uHyiqVLFV9PHj/bte6dJ2zurYMUt2t2+//mMqVJDmzZOWLLFeiv8uRhbfCmnPHvvQ8/zzVkjr++/9ixMAkPhSpJBmz7bxZvhwadiwK08gp09v7Ydq1bL2gxMmhNdEM4DQ4ZpE96OPPtInn3yiRYsWadGiRRo5cqTTIcFHZctaleCVK6X+/RP++BIl7PGffGLbmf3Vr58lbr17W2XIcBIdbRUvW7a0WfYBA/zrtVuypCW7J07Yuelt267/mGrVrBdyypSXVrmO+P//XT791M4TL1hgH4wefNBWjgEAoSUy0oo93n+/1dV45JErJ7Fp0kjvvWdj04ABdoQoEK3xACAhXJPoIrzce69V4X3hBemVVxL++HbtpF69pGeesXM+/oiMtNVcj8daICV0ldntUqSwaswPPGAz5/ffn/A2T/9WooRNUpw+bWeAbyTZTZ7cWhR16mSFso4etcS2RQv7sPP553a/qCgpWzb7EAQACD0REVZ9v0cP6emn7WjQlcacFCmswOTQodKrr9oxm3/+Sfx4ASRdJLoImieftAJHPXvaFtuEmjDBKgF37mzta/yRO7etEq9bZ4NuuImMtEmF4cNttt3fhL5YMUt2z5yxZPenn659f4/Hin1Nny5lzSrt3m3Vsxs1siS8YkVrOzFrln1Nlsz32AAAzoqIkF580Yo+TptmHQGutGIbEWHneV97zepA1KnDjh4AiYdEF0ETFWWzufnzS82bSz//nLDHJ09uffsyZ5aaNLGVQn+0bi116yY99ZQV1Qg3Ho/0+OP2+ubOtff85Enfr1ekiG1jjl/ZvZEzu1mz2tcNG6QcOWxlX7Kt42XL2s/DAw9Yu4onn7SVAH/7AQMAEp/HY9uXn3nGdvA0anT1FduOHW1c2rDBjrvcSCs7APAXiS6CKl26i31s4+KkI0cS9vhs2ayQ1IEDdtbH323Hzz5rBaruvVf67Tf/ruVWAwfaTPvixf5vFSta1JLdkyct2b1eUhrfFaxoUevx+8031jJq+3ab8EiZ0lbqO3WyRPjmm+37mtAK3QAAd+jXz3bzLF9uBQcPHbry/Vq0sHFpxw4rfvjpp4kbJ4Ckh0QXQZc/v832/vSTbW9KaCXlO++0rVGrV0t9+/oXS6pUViX4xAmLJdzO68br2dMKRH38sW0f//tv369VrJhtOTt+3JLdnTuv/5jSpW2Wv1cvaeJEe7/btZNeesm2L3/8sU02jBhhkxl79vgeHwDAWZ062Tj/1Vc2Tlzt//S6da1mQ4YMUo0a4dcNAYC7kOgiUVSvbmc2P/jAZn8Tqm1bq9w4ebIlS/4oVMjO665Zc+Wm9+GiQwfbKrxunSW7R4/6fq0SJWy2/uhR+3ByI4lpXJw9/xtv2Cruxx9LI0famd3bb7dKnd9+ay2pcub0PTYAgPOaNrVWczt22FGVL7648v0KF7bbqlWzLc2TJydmlACSEhJdJJouXawS86RJ9iuhnnhCatjQ2tOsWOFfLPfcYwn3889bIhauWra0c1FffOF/sluypPS//1kLoRo1pD/+uP5jcuWy7crnz9v37NVX7UOOZNvYx4yRMmW6eLYXABC6ate2ydWUKa02w5w5V75f/LGmuDir29CnT/jusALgHBJdJKqnnrKCFX36WP/XhIiMtFZDhQpZAne9SsA3Eku1alYQyd+qzm7WvPnFIiB16yb8nPS/lSljhbx+/12qVcvOTt+IM2dslj++2vL27VZNO3lyK0olXbkXIwAgtBQpYpOrZcvapPJjj135//eUKaV33rk46VyrlrRvX6KHCyCMkegiUUVGSrNnW0GoNm2k775L2OOjo20WOCLCZoL9aVMQFWXndbNksS1XN5q0haJmzayC9ZdfWnsHf5LdChVse9ovv1y78Mi/pUhhH3j69JHuvtvaTeTKZed1JVvxjS9kBQAIbZkzSx99ZGd3H3/c2hBdKdmNirJ6DrNn22TsnXfaVwAIBBJdJLq0aS1Zvekm24r8++8Je3zevDYL/MsvVsXRn+1OWbJI775rrYuaN7dWOuGqSRMrFvL111L9+v4VqKpWTVq0SNqy5cavdc89dja6Rw/p0UetSJVkSW4E/xMBQFhJntwKSXbpIo0bZ+dxr9RrV7LxYe1a2/VTo4YdkwEAf/HxEo645RZbFTx0yFZmjx1L2OOrVJFeecXOffbs6d+21zvvtNYIn35qSVg4b6Ft3Pjimd3YWKuk7Ks6dWxF/Kuv7Lo30rO3UiX73t1+u/3Z6yXJBYBwFREhTZliq7qvv37tIy8xMdaOLm9eqUEDG5cBwB98xIRjSpa0RGnjRt/aDnXoYNuhpk2Txo/3L5a777ZrTZ9uvXbDWbNmtmV4zZobT1CvpnFjaw+xapVvfY7jtyufOGGrzQCA8OLxSMOH2yTrl19Kd90l/frrle+bM6dNOtesaXUchg4N78lnAMFFogtHNWggvfii9P77dn4zoQPayJFS69bSI4/YdmZ/jBxpSeDAgQkvlBVq2rSxpH7FCnvNV9tOdiPatrX2EEuWWG/cc+cSfo2JEy1RnjLF9zgAAO7VqpVNiv75px1/uVqyGx1t40nnzlaZ/957/RujACRdJLpwXPfullxOnpzwldmICGnGDJshbtdOWr/e9zgiImxrVYkSvhXKCjUdOlhiuWyZnY9K6Ir6v3XvblWs33rLt63kAwbYee0ePWyVHwAQfsqVs57sf/0lVa4sbdp05fslS2bHk0aPth1I/taVAJA0kejCFZ54wmZ7H37YkqWESJlSWrhQypHDzvtu3+57HGnSSO+9Z4WyGjRIeKGsUNOli23Vfucda7N0/rzv1xo4UBo82ApODRuWsMcmS2YJbsWKNmFBIRIACE+lS0srV9run4oVbUfXlXg8dqTojTek1avtfO+NVPkHgHgkunCFiAg761mliq00rlqVsMdnzWork16vzfwePOh7LLfcYgPvX3/ZKmO4zyL37Wvnp157zVZW/TkPNXq0JcxjxlysqnyjUqe2atx33GHbqWkxAQDhKSbGiiIWKCA1amTtha6mXTubjP32W6lqVemPPxItTAAhjkQXrhG/Mpsvn7XC2bw5YY8vWNBWY/fssYHzxAnfY4mJsRXG777zrVBWqHnsMenBB211d/Ro36/j8dgW9ObNpX79bCY+IdKntwmLrFltwuLHH32PBQDgXjffbCu1VapI7dvbZPfVNGpkE9A7dtiW559/Trw4AYQuEl24SoYMluikTm2Jzp49CXt8hQo2M7x+vRVJ8qUwUrz69S1pW7pUeuCBxK/8OHv2bOXJk0cRERHKkyePZl9ryttPHo+twN57r63uTprk+7UiI+17UKOG1KnT1belXU2OHLZ1OTLSWhgl9GcAABAa0qa1MaJmTRsvXnrp6vetWdPO9x4+LJUta62IAOBaSHThOrlzW3J55IhUr54NagnRrJklbe++K/Xq5V+C2rWrNGiQnTsdNcr36yTU7Nmz1bVrV/3666/yer369ddf1bVr16AmuxER0quv2sx5797S/Pm+XytFCludj4mxasoJLRKWP7/0wQe2fdyXnwEAQGiIP7bSsKEVMxww4Or1Iu66S/r8cylzZpsI/eijxI0VQGiJcjoAX7Rp00ZRURdDb9WqlXr27Knjx4+rQYMGl92/Y8eO6tixow4ePKgWLVpcdnuPHj3UunVr7d69W+3bt7/s9v79+ysuLk5bt25Vt27dLrt96NChqlWrljZu3Ki+fftedvvYsWNVoUIFrV27VoMHD77s9okTJyomJkbLly/X6CvsG50yZYoKFSqkxYsXa8KECZfd/sYbbyhXrlyaO3euXrrCdOiCBQuUOXNmzZgxQzNmzLjs9qVLlyp16tSaPHmy5l2h5O2q/z8wO378eC1ZsuSS21KlSqVly5ZJkkaNGqUVK1ZccnumTJn09ttvS5IGDRqkdevWXXL7LbfcolmzZkmS+vbtq40bN1647bbbSmrz5qfVuHGUPvxQ6tOnq7Zt23bJ42NiYjTx/w+DtmvXTnv+tfyXK1dXvfzyPcqRw1Ypmzdvrj///POSx9esWVPD/r9yUv369XXiP/udY2NjNWbMAP3+uzRihDRr1gTlzLn4wu3B+tlbv369Tv2nn8Lx48c1ZMgQtW3b9rLrBEpUlBUDq1XLzkVlyWJtIHxx0002YVGhghQba7PvhQrd+ONLlrRkuV49S74/+si2twMAwkvKlDY53a+fNGGCtSCaNs129vxX/vzWa7dOHRtb5s61404A8F+s6MK1MmT4RtWqTdeaNbYN+fx5T4Ief9ttU1W06FcaMcK//qwej7U5yJhxnX76qa8OHKjs+8Vu0H+T3Hi7du0K+nOnSmWz6/Fnpf1ps5Q1q/Thh7ZaXLduwouI1Khh53zjfwb82YoOAHCvqCjp+eelxx+3toFt20pnzlz5vlmzWuXmkiWlFi1sNxIAXMYbQnbv3u0tWLCgd/fu3U6HgkT03HNer+T1duvm9Z4/n7DHnj7t9TZo4PVGRHi977zjXxzHjnm9d93l9aZI4fWuWuXfta4nd+7cXkmX/cqdO3dwn/hffv3V6735Zq83Z077vT82bPB606TxekuU8HqPHEn445991n4GevZM+M8AcC2MK/7jPUSgPfWU/Z/fpInXe/Lk1e939KjXW6eO3fehh7zes2cTL0YAwROocYUVXbhe797So4/aquxjjyXssfH9WcuWle6+22aAfZUmjbRkiZQ3r22l/fpr3691PWPGjFHq1Kkv+bvUqVNrzJgxwXvS/7j1Vjsn+88/1lP4yBHfr1W6tPT229L331tF5qvN0l9N377Wp3fyZOnJJ32PAwDgfgMH2uruwoW2G+ivv658v5tusmJWvXtLzzxz7VVgAEkPiS5CwtixUufO0siRNvglRHyCmi+f1Lix9NVXvseRKZNtxU2f3gbfLVt8v9a1tG3bVlOnTlWKFCkkSblz59bUqVODej73SooWtf6FW7fa9jB/PkDUrWtbwJcvl7p0SXiRsCeekO65x4qDBbEmFwDABR580P6vX7tWql5dOnDgyveLipKee056+mk7r9u8uXTyZOLGCsCdSHQREjwe6eWX7cxonz4JT3QyZbKWNZkyWXEjf/qz5solrVhhRTJq1bK+fsHQtm1bzZw5U2+99ZZ27tyZ6EluvBo1Liao3bv7V8W6Y0dblZ850yYtEiIiQpo+3T7wdOokffyx73EAANzvnnuk996zMbtaNen3369+3wEDpBdftBoTtWtL+/cnWpgAXIpEFyEjKkqaM8cGu44draJvQtx8syW7ERFWrdGfuk7581sV4BMnrLffb7/5fq1rad26tVq3bh2ciydAx47S0KGWaI4b59+1hg+/mPBeoQj4NaVIYSvMBQtKTZtKmzf7FwsQTo4ePep0CEDA1atnx2h27ZKqVJF+/fXq9+3Z0zoHfPmlVKaM9O23iRcnAPch0UVISZlSWrRIKl7cttImtGF8gQK29fjoUUt2/ZnxLVbMBt8DB4I3e7x7927t3r078Bf2wciRNrs+ZIh/PXY9HjtvXbOmbWH+T0eq60qfXlq2TEqbVqpfP3iTDECoeeCBB/Tggw/q8ccf1/z583X69GmnQwICompVm1z+80+pcmWr93A1rVtb+6Fz56y93YcfJl6cANyFRBchJzraEp1cuazB/L9a796QmBg7s7trlyW7hw/7HkvZsnatnTttG/N/2vT6rX379lfs7ewEj8dWdCtUkDp08K8YV/LkVpyqUCE7T5XQreS5ctmK/l9/WR/Fv//2PRYgXJQqVUovvPCCBg4cqO+///5Cj3EgHNx1lxWUPHNGqljx2sUlS5eWNmyw3T+NGlmPXgBJD4kuQlLWrDa7Gx1tyeq2bQl7fKVKVs1xyxarKOxPolS1qp0h2rbNVnb9SZzdLn7rcObMVthr3z7fr5UunVXLTJnSJiwOHkzY40uUsIra330ntWkjnT3reyxAODhy5Ig2bdqkqKgonT59Wh5PwnqPA24XEyOtX29HkerWlWbNuvp9c+SwWg4lS9qE6ujR0vnziRYqABcg0UXIuvVWK5Ak2WpqQs/c1qljFRo3bLCk7cQJ32OpVcsS5++/t+terRVCOMiWzbaPHzpk52RPnfL9Wrlz27V+/923a9WvL02aZKu7ffr4VygLCHWDBw/WN998oxEjRqhSpUoqUKCA0yEBAZc7tx1bqlRJat9eGjPm6v/3Z8hgK79t20rDhkmtWknHjiVuvACc41OiO3r0aA0aNEiStGbNmoAGBCREwYIXz9zWqpXwFcYmTawC8KpVUsuWkj9H2urVs9XOb7+1mWZ/+s66XcmS9r6tW+d/JeZy5exaa9ZI99+f8Gt1727VNidPltipiaTskUce0XfffaezZ89q8+bNatKkidMhAUGRPr3VyGjXzgol9ulz9dXaVKmk11+XJkywLcwVKly7oBWA8OFTohsREaGbb75ZkrR+/fqABgQkVMmStqL322+2dfjQoYQ9vm1b6aWXbBvt3Xf71yu2YUMr1PT119duch8OWrSQRoywyslTpvh3rVatpFGjbBvaE08k/PFPPmlb0/r3t23kQFIUExOj8ePH6+mnn1aXLl2cDgcIquTJLYF96CHphRekZs2ufgzJ47H7ffCBtHu3rQZfq6AVgPDgU6KbKlUqHTt2TGfOnNEff/wR6JiABKtQ4eI52Xr1bIU3Ibp1s9XAd96R7r3XqjX6qnFjacECS3Z9Sbz/rX///urfv7/vFwiy4cNt+3CfPrYF3B9DhthEw+DBtg08ISIi7ANP6dJWGTqhBcqAcLBixQrNnz9fO3bsUIYMGZwOBwg6j0caP156/nkrDFmxohWHvJrataVPPrGaDpUrS2vXJlqoABzgU6J77733KleuXBo5cqTi4uICHRPgk5o1LcH85htbWf3nn4Q9vk8fWxl86y3pvvv8K1rRuLElzZs2WVy+VmOOi4tz9b+xiAjpjTek7NlthdefqtMej/Tqq9b7sF07e+8SInVqO++bIYNVYv79d99jAULR008/raxZs+qjjz7S0KFDnQ4HSBQej/Tgg9aNYfduG0OulcAWL263Z85s4zO7gIDw5VOi27dvX61bt06RkZE6cOAAvfrgGrGx0uzZNog1bSqdPJmwxz/8sPWLff11W+X1J9mNjbXEa8sWqXp13/rsbt26VVu3bvU9iESQKZNNMOzdawmqP+9ZqlS2mpsunbWEOHAgYY/PkcNm9f/6yyYbjh/3PRYglDz33HOaPXu2/vnnH9WuXVujR492OiQgUdWuLX3+uU121qljK7dXc9ttVtCqWDH7rDBtWuLFCSDx+JTolipVSpMmTdLDDz9Mrz64TqtWtjL40Ue+FZgaNsy20U6bJj3wgH+FlurVs8Rr+3apWrWErzJ269ZN3bp18z2ARFKmjPTcc3b+adw4/66VM6clu/v22SpxQs9MlyghzZkjffWV9fulnQSSgj59+ujee+/VTTfdxIoukqyCBaXVq60rQ/36VjPjarJksfZDtWtLXbpY+yEq9wPhxadEl159cLuOHa0K75IlvhWYGjXKVndfftn/ZLdWrYtbqipXlnbs8P1abtatm73Xw4dbBWV/lCljkxWrV0v9+iX88XFx0tNP20rzyJH+xQKEivfee0+VK1dW165d1alTJ6fDARyRPbut5pYsebHQ4dXG8LRppcWLrU3RsGHSo4+S7ALhJMqXBw0ePFhz5szRnDlzVKlSJZ3xp0wtECQ9ethqbt++VmBq1iwpMvLGHuvxXKz++9RT9vXFF+3vfVG1qrRiha3wVq5s/X8LF/btWm7l8djEwBdfXCwIlTGj79e75x47bz1+vH1g6dw5YY9/6CFp82bp8celO+6wDzxAODp69KjGjRunX375RSlSpFDhwoW1YMECjfN3ewUQorJksTG3a1ebfN2+3SZPo67wqTdZMusekDatjfd//2392SN8WgoC4CY+JbrJkydXhw4ddOrUKW3dulXFixcPdFxAQPTpY8nuww9fHMxudPAKdLJbtqzNMteubcnu//5nCVw4iY62bcMVKthWsAULfH+/JNsG/e23Us+eUpEi0l133fhj4xPvn36yFf58+aQ77/Q9FsCtoqOjNW7cOH366afKmDGjtm7dqjp16jgdFuColCmtR3v+/NYK78QJq+GRLNml95s9e7aGDBmiX3/dpejoyXrppe76+29LjJMndyZ2AIGR4ET3tdde07Zt23T06FFt375djRo1ItGFqw0cKJ06ZduSkieXpk71Pdn1ei3Z9XWmt1gx6dNPbTtz9erWu7diRd+u5VZlyliCOnCg9dft3t33a0VFWRXs0qWtT+6XX1rBqRuVIoVVvy5TxopTbdiQsMcDoWTTpk365ptvlDVrVhUpUsTpcADHeTy2opsmjTRggBWonDPH/ixZktu1a1cd///KhUeP9lCyZH9o1qzHtXu3FZRMl87BFwDALwlOdDdt2qTq1aurUaNGGjFihB544IFgxAUE1NChtrI7apRtX37ppYQnux6PtR86e9YSOF+T3QIFLNmtU8e21l4r0Q3VgjIPPWTFwB56SKpRwwqE+CpjRitOddddUuvWth3tvzPy15I1q7WPqFDBkuWVKy0BBsLNX3/9pZiYGDVu3FgzZ85M9Odv06aNov61N7RVq1bq2bOnjh8/rgYNGlx2/44dO6pjx446ePCgWrRocdntPXr0UOvWrbV79261b9/+stv79++vuLg4bd269YpF+4YOHapatWpp48aN6tu372W3jx07VhUqVNDatWs1ePDgy26fOHGiYmJitHz58itWsZ4yZYoKFSqkxYsXa8KECZfd/sYbbyhXrlyaO3euXnrppctuX7BggTJnzqwZM2ZoxowZl92+dOlSpU6dWpMnT9a8efMuu33VqlWSpPHjx2vJkiWX3JYqVSotW7ZMkjRq1CitWLHiktszZcqkt99+W5I0aNAgrVu37pLbb7nlFs2aNUuSddrY+J/m5AULFtTUqVMlSV27dtW2bdsuuT0mJuZCodJ27dppz549l9xevnz5C1vrmzdvrj//05uuZs2aGjZsmCSpfv36OnHixCW3x8bGasCAAZKkatWq6b+u9LNXoEAjLV7cR9mzb9fjj3+rhx5qpUcfffRCkhvvzJmRypz5sD777HnVqmVFFjNluuwpAISABH9Uf/bZZ5UmTRoNHDjwsv+YADd7/HFp8GBb0U1ogSmPx1Yphw61asz33SedO+d7LLfeaudPr1dQuWrVWsqevZbvT+SQiAjptdds61i7dgkvBvZfxYtLr7xiEwSPPJLwx5coYS2j1q2zs9sUG0E4Spcunc6dO6dMmTIpHctQwCVy5nxPRYsO0YkTuTRmTAP99JMuS8Dj/fnnJC1cKH33nXVM2Ls3UUMFECheH506dcr74osveocMGeLrJRJs9+7d3oIFC3p3796daM+J8HL+vNf76KNer+T19uxpf06okSPt8ffc4/WeORP4GOOdOeP1zpy51Vus2DHvoEHBe55gmjfP3qvHHgvM9R580K43Z45vjx82zB7//POBiQehL9zGlb1793oHDRrkfe211xLtOcPtPUR4+/prrzdzZq83WzavN0eO2l5Jl/3KnTu31+v1epcv93pTp/Z6CxTwen/6ydm4gaQkUOPKdbcuz58/X8uXL1edOnUUGxur1157TefOnVOtWrXUs2dP/fHHH0FOxYHA8XiksWOtt+pTT9mfX3ghYQWThg2zrbODBtl26DffTNhW2hsVFSW9+moPpU2bTj/++I769ZOeeca/4k6JrWVLqW1b2zLeoIGdlfXH+PHS119L999v550TegzxscesuFW/fvbYGjX8iwdwixMnTujQoUO6+eabNXbsWJ08edLpkABXKlnSCkPWqiX9/fd7Spmypk6eXHvh9tSpU2vMmDGSpJo17RhOo0ZSuXJW86FqVaciB5BQ1926/Oqrr6p///769ttv1aJFC+3cuVOZM2fW6NGj9e677yoHlV0QYuLP3Pbvb4WlevVK+FbWRx+1pHPBAjv3GazPlF5vhJInP6SxY6Wff7bzwf5smXbCpElSzpxShw5WFMwfyZNL8+ZZG4jmzaVjxxL2+IgIazNVqJCd9/31V//iAdyiZ8+eev755/Xyyy9r4MCBesSXPf5AEnHHHXYUJlOmlPJ6VykqqokkKXfu3Jo6daratm174b4VKkiff271HurUkf5zHBqAi1030U2WLJkKFiyoIUOGaM+ePRo5cqRat26tV199VbNnz06MGIGA83ikp5+2KoyTJ9uZ3fPnE3aNfv3ssYsXS7Gx0j//BD7OiIgz8noj9PTTNjAfP25njOfPD/xzBUv69Ha+dssWW9n1V86cVon5p5+sR2JCJyluukl6911bjW/WzFpOAKEud+7cevLJJ7VhwwaNGDFCzz33nNMhAa6WL5+0dq1UtGgynT27QIULj9LOnTsvSXL/fd/PPrOdRM2a2couAPe7bqJbu3Zt9ejRQ6tXr9aIESOU/P+bikVFRenw4cNBDxAIFo/Hti8/8ohVYe7RI+HJbo8e1pt35Uqpbl3pyBH/4/ryS6vyOHas9N1347Rp09M6cUJq397iu/12W42cNMn/50osdetKnTrZSvo33/h/vWrVLGmeM8cqYCdUwYLWT/Hrr639EcWpEOo2b96sMWPGyOPxaP/+/fLyQw1cV86c0qpVUvr0G/Xjj4OvOZ5kzGhV/0uXllq1soluAO523US3d+/eatu2rdatW6c5c+aoWrVq6tChg9q2bat06dLp559/1vmEZgeAS8RXUx40yFZKu3VLeLLboYM0d65tbapRQzp40LdYvF6LpWxZ692XJYuUNevHKlDgGb35pp0pzZBB+vtvOzcUau2rJ0yw19Spk/9VmCXbPl6vntSnjyWsCRUba2d2X3/dtrADoWzBggXq3Lmz2rRpo8WLF6tPnz5OhwSEhLRppWLFBiljxvXq3t1qQVxNunTShx9K9evbTrBevexIEQB3uqE+upUqVVKlSpUkSV6vV7/88ou2bNmiLVu2aMyYMdqxY4dWrlwZ1ECBYPF4pDFjrL/u6NE2aE2bZn++US1aSKlT27nRqlWteEXOnAmPo39/2+K7f7/UpYtUpEh1SdXl9drt331ng3Dv3lL58gm7vtMyZJBefllq0sS2jV+hbWWCRERIb7xhhUVatLCV4oR2VBk2TPrqK9uGHhMj/f9/c4DrXatQZK1aodeSDHDSE088prNnPZo8WRo40Casx461cea/brrJers/+qiNxz//bFuZU6VK9LABXEeC++h6PB7ly5dPsbGxGjhwoKZPn06Si5Dn8UgjR9oK34wZ0r33JnyWtkEDadkyadcuqWJFG/wSKnlyW2EsUsQqFOfKVUEVKlSQxyP99Zclh3FxNpscjErPwda4sdS0qU0s/P67/9fLnNlW03ftknr2TPgW5PhkOU8e2w6+f7//MQGJ4b+FInfs2HFJoUgAN65ChQqqUqW8Zs+2I0lPPmmfA06fvvL9IyNtwnbqVFvhbdQo4cURAQRfghNdIFx5PNKIETaL++ab0j33JHyLbbVqdl73779tdXDTJt9iGTnSBtDly7/V7Nl2qHXIECl3bqljR1s9vpJQOJb39NM2ieDvim68ChVsguLNN62ickKlS2fVsw8dku6+O/SqWiNp+m+hyFGjRlEoEvDR2rVrtXbtWkVG2lGWsWOtjkODBtLRo1d/XJcuNjn+8cc2wU0lf8BdSHSB/xg0yFoHzZ9vfWAT2hKndGlp9Wqb8a1aVVq3zrc4SpaUXn11kB588Ixuu03680/p8cdtC/CVHD9u26fatrXVX7fKl0/q21eaOdO2DQfCoEFSlSq2qrt9e8IfX6KEFST7+GOb7ADcLjELRf7xxx9q3769GjRooIYNG2rmzJkBvT7gtMGDB2vw/8++ejw2psyYYf12q1S59g6ke++Vli61JLdMGWnNmsSJGcD1kegCV9Cvn83qLlpkW20T2oLmjjtssMuc2ZrS/+9/vsURFXVcxYoN0p132vnc8+evfnY4eXJLjm+5xWaWv//et+dMDEOGWE/Cvn0DswodGWmruVFRvq3ES7ZS3rmzbat+/33/YwKCKTELRUZGRurRRx/V0qVLNXfuXL355pva7suMEhBCOnSwnrnbt9vOoZ9+uvp969a1gpQZMlhRyhkzEi1MANdAogtcRc+e1v/1gw+sQm9Cz9/kyWPJbsGC9vg5c3yLw+M5pwULrODStbbmRkVJefPa2aJOnWyAdutW5uhoaw+0Zo3FGQi5clkRsQ0bfO/X+8ILVpSqfXs79wu4WaVKlTR8+HDNnTtXK1eu1PDhw9W2bVuVL19eY8aMUc2aNQPyPFmzZlWRIkUkSWnTplXevHm1b9++gFwbcLO6dW1V99gx64jw4YdXv2+hQtL69XaEqVMn6dlnEy1MAFdBogtcw/33W3GoTz6R6tRJ+JbgbNmsR1+FCrbS+Pzzvsfy+OO20ixZL794Xu+l50rPn5c+/dS+ejxXL6bhtE6dpAIFbHU3UB3Kmje3WfgxY3zbMp4qlW1ZP3vWilMFog0SkBgSq1Dknj17tGXLFpUoUSLg1wbc6M47bQL11lvtzO748VefRM6QQVq82Maihx6yMZsOnIBzSHSB62jXTpo3T/ryS9/65KZLZ6vCTZtaz9chQ3xfafV6pcOHLRn7d3K7d69tq5o2zZ4nQwZL1CT7u65d7YyvmyRLZkW3vvvO99XuK3nuOVvdvfde36pg5s9vK/nr1weuYBYQDv755x/17t1bgwcPVtq0aZ0OB0g0t90mffaZ1KyZtR9q3/7q9TtSpLBuAH36SBMnSq1aJfz4E4DAuKE+ukBS16yZnddt1swKTC1fLuXIceOPT5nSktOePa2a49690pQptt34WiZOnHjJnz2ei/1oJevjt2aNxRIRIWXMKNWuLXXvbtd+/33pl1+knTttJvqZZ+z8rlu0aiU98YQVgGrVKjAtk9Kls0JX1atLAwZcfK8SonVrW8UfP94KkcTF+R8XEMrOnDmj3r17Ky4uTnXq1HE6HCCg/jvWXknatDbpPWaM9WA/dEh6++0r98+NjLQkN3duW9ndu9c+Q2TKFPDQAVwDK7rADapf3/rk/vqrtQ7asSNhj4+MtKRrxAhp+nRbef3nn2s/JiYmRjExMVe9PU0aads2qUkTm0F+6SWpVy9Lcr/7zlruFCxoxbCGDJEmTQpM/9pAiYiw87Q//+xba6CrqVrVktwpU6wapi+eecbO63boIO3eHbjYgFDj9Xo1ZMgQ5c2bV506dXI6HCDgrjfWxvN4pKFDrf3fBx9YsclrHVfv18/G5g0b7HODm8ZfICkg0QUSoFo1Ox97+LBUubK0ZUvCHu/xWM/Xl16yBKxGDenAgavff/ny5Vq+fPlVbx82zAbRJ56wKtH/ljGjfZ0507Y8N2pkW3IzZ05YzMEWGysVKWLnlwNZPGvUKLtuly72/UqolClt9v7MGTtfffZs4GIDQslXX32lRYsWaf369WrcuLEaN26sTz75xOmwgIC53lj7X1262Nj7zTfWUvCbb65+31atbLJ5zx773LBzp//xArgxJLpAApUrZ9taz52zQcuXXrDdu9uWp02brFDVzz9f+X6jR4/W6NGjr3mt6tWlhQvtDO7RoxcLX9x8szW8L13aZqDPn7etV//fbtM1PB7pwQeljRvtDFSgpEhhSf6+fdbGyBcFCtgq/Jo1dp4YSIpKly6trVu3avHixVq0aJEWLVqkqlWrOh0WEDA3Mtb+V8uWF3vmVqx47d1D8UeeDh2y4zDXalUEIHBIdAEfFCtmlY3TprVEc/XqhF+jSRNbHT50SCpfXvriC9/jyZdPGj7c2vY895y0devF26pUsVXJCBf/a2/XTkqf3r+q1Fdy551WUOr116X33vPtGm3b2vbl0aOtgjYAAJJUqpQVqrz9dhvT33nn6vctV05audIKU1WubMeLAASXiz/6Au6WP7/N5t58s/Xa8+UsaIUK0tq1FxPmQPSUTZFCuvtuW3X+9VdLzo4e9f+6wZQmjbVyeucd294VSEOHSsWLS9262aSCLyZNstXdtm3dV70aAOCcbNls0rp0adumPH361e8bE2MT45GRtgr88ceJFiaQJJHoAn645RYbtIoUkRo39q2gUqFCluzefrtd479nbRMqvrLzI4/YeeB9+6SnnrLbAnkGNtC6dbPt4G+9FdjrJk9uW5gPHJD69/ftGmnTWlwHDlhC7ub3EQCQuNKnt3O4NWpInTtbMcR/twD8t9tvt/Z1t94qNWxoRa0ABAeJLuCnLFlsVrZyZeut58v22+zZbQW2YUOrmvzQQ1cfJG9EvXpWIXryZEvyoqPtjK7H4/s1gy1/fqlMmcAnupLNoj/8sDRjhp2T8kXJklb0a+FCK+oFAEC8tGmtpV+vXtKECbYD6PTpK983Vy7bbRU/wb1oUaKGCiQZJLpAAERH29blJk2sSfzw4Qlf9UuTRnr3Xal3b+nZZ6UWLaRnn52qKVOm+BRThgzW3y9lSvvzv8/orlhhM84nT/p06aBp08aKewWjUMewYbb9uGvX67d1upq+faU6dexrQituAwDcacqUKT6Ptf+WLJn0wgvS009bVeZmzexM7pVkzmxjccmSNt7PmeP30wP4DxJdIEBSppTmz5fuu89a2zzwQMJXZSMjrZjUc89Z8aSuXQsqOrqQX3FdaRX3009txrl0ad+qRgdLq1b2NRiruqlS2Ursjh02EeGLiAhbFU6TxloOnToV0BABAA4oVKiQChXyb6z9twEDrGL/0qVSgwbS339f+X4ZMtiW54oVbUwZM4ajMUAgkegCARQVJU2bZttkX3rJVih9WTXt3du2yG7efFbFi5/Q118HNs7HHrOtzYcOSWXLWnufv/4K7HP44pZbpLvuCt6ZpapVbUV34kTp2299u0aOHFZsZONG3xNmAIB7LF68WIsXLw7oNbt1s7odn35qieyuXVe+X3S09OGH1n1g6FBLkkl2gcAg0QUCzOORnnxSGj9eWrBAql9fOnIk4deJi5OKFOmuv/8+qkqVrO9uINWrJ/3wgxWvmjzZimK9/rrzA2zx4tK2bcG7/hNPSBkz2jkqX19rXJzUpYttT/v008DGBwBIXBMmTNCECRMCft177rFJ5V27pEqVLm39928pUtj427u39MwzdgTK6bEYCAckukCQ9O8vvfGGtSCqWlX644+EXyNt2u0qVaq7YmLsDM/IkYEd/NKnt/NEGzZIefNav9gqVaRNmwL3HAmVP7908GDwVpgzZLBkd80a6c03fb/OM89It90m3Xuv+9s3AQCcUbu2FZ46dcqKVm7ceOX7eTy226h/fxuXu3SRzpxJxECBMESiCwRRu3bWG3f7duuZ68tKZfLkh7VypSVUI0ZYj9zjxwMbZ6lS0mef2bbrLVvsz336+LYS7a8CBexrMApSxevUySo8Dxjge5KaNq1NZOzaJfXrF9j4AADhIybGdv+kTClVq2YtBa/E47GdQkOHSq++aud73XCsCAhVJLpAkNWtK61cKR07Zud0Pv884ddIkcKKID35pDRvnq267t4d2DgjIqz/37Ztdo71hRekggUt+T17NrDPdS3589vXn38O3nNERFi/4n37rHCYrypUsH7F06db8TAAAK6kYEHbSZQ1q63yXm3M8HhsXJo+3doOVqwo7d2buLEC4YJEF0gEZcrYDG50tFS9um898zweK3K1aJElo6VL26AZaBkz2pndDRukfPls+9Qdd1jrg/PnA/98/3XsmH1Nmza4z1OmjFXIfu45W3H31WOP2bnibt2suBcAAFdy6622slukiLUjfOaZqx9H6tTJilTt3GmfG0h2gYQj0QUSSYEC0rp1UrFi1lvvxRev/5g33nhDb7zxxiV/Fxdnq8LR0VKNGtLUqcGJ9847bTvzu+/aivI990glStifg1kkIz7pjF/ZDabRo+21DRjg+zWSJ7fV9gMH2MIMAKHoSmNtsGTLZmd2mzWz87g9elz9LG716lbMavduO98bzEKNQDgi0QUSUdas0scfSw0bWtXfRx659ipprly5lCtXrsv+/vbbpS++sES3WzcbKE+fDny8Ho/NOn/7ra3onj5tg3PJklYFOhgrvD//bM97222Bv/Z/Zc8uDRliq+QrVvh+nZIlpcGDrWrm++8HLj4AQPBdbawNltSp7RjSo49KU6bYZ4KrncWtUsV67f71l7Xf+/jjRAsTCHkkukAiS5PGVkV79pSeekpq2/bqvXbnzp2ruXPnXvG2DBksqRo40BrT16plZ06DISLCegJ//70lcydOWBXo4sWtcvGpU4F7rq1bpVy5bKU1MfTtK+XJIz30kHTunO/XGTpUKlrUzjdTPAQAQse1xtpgiYiQxo2zs7grV1qRqqt1Z6hQwSa3c+Swuh/TpydqqEDIItEFHBAZKU2aZMWl3nrLClP8+efl93vppZf00ksvXfM6Tz0lzZ5tZ2rvvNO3Ylc3KipKat/e+u+++aat6LZta4Nvr17Sl1/6vq3Z67Vqk/PmSWXLBjbua0mZ0toNbdrkX7uh5Mml116zyYaHHw5cfACA4LreWBtMnTpZd4affrIxfN26K9/vttvstpo1rXBksI4tAeGERBdwSHxxqbfesiS1fHnfiyLdc48NgMmS2TanqVODe442MtLaHG3eLH3wgVSvnrVCKFPGziAPH26v6Ua3Nh8+bFukH37Yvk6bFrzYr6RlS9t+/Nhj/m0BL13azly98orN0AMAcD1160rr10upUklVq9ourSuN4dHRdtSmfn07tjR0aOIUiQRCFYku4LDWre186KFDdv7ms898u05MjPTVV1a8ols36f77r74lOlAiImyAfvNN23I1ZYpVbR4zxlZlb77Z4pg61apO/7sv77lzVkXy449tFnvpUquAPH++lC5dcOO+0usYPVr65Rf/t4Q99pgV0urSJfD9jgEA4alYMdsVVauW1d3o2fPKx2lSpJAWLrRV3TFj7BjRP/8kerhASHBNojtx4kTFxcWpcePGuu+++7QvWIcNAReqWNFmczNmtG1Jb73l23UyZrRzu0OHWsJWqZL066+BjfVq0qe386mrV0v799tZ3sqVpQULLPGuWNHuc8stVpQrWTLb8lyzpvXp/fRTqXdvW+l2Qv36FuOoUXYG2VepUtmK7s8/W9ILAMCNyJBBWrz4Yu2NDh2u3Mc+eXIbZ5591lZ4K1WyyswALuWaRPf+++/X4sWLtWjRIlWrVk0v3kjvFSCM5M9v24/LlrVtwaNH+7b9ODLSkrWFC+3MT6lSdv4nMWXKZGd5582zleodO2zwHjfOEtumTS0ZnzTJVnC//dZWs53k8djs+O+/28q0P6pVsxXdCROkr78OSHgAgCQgvvbG2LFWf6NBgyv3aPd4rJjikiU2sVqhghVzBHBRlNMBxEubNu2F3584cUIep5Z1AAdlyiR99JFt9x02TGrV6gM988wxn67VuLFtZW7Z0nrvDhxoiVyyZAEO+joiIqyqcZ48Umxs4j53QlWtaknq+PG2dcyfys9PPSW9956tcn/+uX14AQC4z4IFC5wO4TKDBlnP3R49rP7FokVW2f+/6te3HVG1a9suqg8+sAluAC5a0ZWkZ599VlWrVtXixYvVp08fp8MBHJEihW37ffxxad68lLr77sw6eNC3a8WvEvfoYRWNq1aVdu0KbLzhZvBg6bff7Hvgj/Tp7czxV19JbFABAPfKnDmzMmfO7HQYl7nvPmnVKjtOU7Hi1Wt4lCghrVljR2eqV7cjRAASOdHt2LGjYmNjL/u1fPlySVK/fv30ySefKC4uTrNmzUrM0ABX8XiscnH37p9o3bpzuusu6ccffbtWypTS5Ml27nfzZqsuvHhxYOMNJ7VqWXGsp57yr6+uJLVqZRWphwyR9uwJTHwAgMCaMWOGZsyY4XQYV1S+vO0Kyp5dqlPHdn1dScGCluzmzGlFIt9/P3HjBNwoURPdGTNmaMmSJZf9qlWr1iX3i4uL0//+97/EDA1wpS1bRqhYsQf199822P3/nJBPWre21cXcuaVGjawNjj+tdMKVx2NbxrZvt0Ja/l5r8mRLmHv3Dkx8AIDAcnOiK0m5ctn25AIF7AjQ3LlXv9/q1VKRItaq7403EjVMwHVcs3V5586dF36/YsUK5c2b17lgABeJjv5Bn39u1Yrr1fNvG2yBAtbm54EHpGeesa1QP/8cuFjDRdOmtu37+ef9v9Ztt9l563ffvfpMPAAA15I1q/VnL1dO+vvvq98vSxZr21elilVtfvXVxIsRcBvXJLoTJkxQbGys4uLi9Nlnn2nIkCFOhwS4Rp48djanfn2pVy/rr3fmjG/XSpnSqh2/846tWpYsaX1wcVFEhL3Ha9dK33zj//UeekjKl0/q08f37xsAIGnLkMGS3fvvv/b9oqOlWbNsq/P991urIiApck2i+8ILL2jJkiVavHixXn75ZWXLls3pkABXiY62lkEDB0ovvWSru1dqOXCjmja1tj7Fi0tt20qdOknHfCvwHJY6dpRSpw5MIakUKazf4ZYtFKYCAPjuehX8vV7pl1+s9VCdOrbVuUePwOxQAkKNaxJdANcX319vxgwrOlGunCVPvrr1VqvoOGyYNHOmFWEKxApmOMiQwSYA3nxTOnzY/+vFxlqBkMcek/bv9/96AAD8l8djbYl697adW4UL28R2nz421nu9TkcIJB4SXcDFli5dqqVLl1729x062Palo0ct2X3vPd+fIypKGjnSzvT8849db+xY6exZPwIPEz17WluHQBSB93ikiRPtPR42zP/rAQAC42pjbahKmdJqcKxcaR0bXnzRWhWNHm0rvSS7SCpIdAEXS506tVKnTn3F2ypUkL78UipUSGrc2JLV8+d9f65q1Wwrc9Om1g6ncmXpp598v144iImx/oSzZwfmeoULWyGwadOk774LzDUBAP651lgbKv49/sdvb54yxY4kZcggPfigjT/PP2+/J9lFUkCiC7jY5MmTNXny5KveHt9K4N57pREjpObNr12N8XoyZbK2BXPmSFu3WpI3aZJ/CXSoa9fOehhu2xaY6w0fLqVLZwWq+KABAM673lgbCn791cbtRYtsnHnwQRvLBwyweh7r11tv3Q4dbIW3Z8+kPbYjaSDRBVxs3rx5mjdv3jXvkyqVndmdOFFavFi66y7/V2LbtJE2b5aqVrXBsm5dadcu/64Zqu65x6owB2L7siRlzGjndJcvl8JopxwAhKwbGWvdyuu1Yof580vjxlndjWPHrL3Qm29KDRtKOXNKjRrZ3xcsaEUtX37Z6lCcPOn0KwCCh0QXCAMejxWa+Ogjad8+qUwZackS/66ZM6clYlOmSOvWScWKWT++pLYKmTOnVKOGfWAI1Gvv0cM+bAwYwFloAIDvPB5bpa1Z0yZln31WeuYZqWVLKXduu8/587aLqEcPqVs36cknLSl+6y3r4PDPP86+BiBYSHSBMFK9uvTVV1LevFJcnPT44/5tTfJ4pK5dpU2brN/u/fdbL9+ktrrbuLH088/Sjh2BuV6yZPZB48cfrdo1AAC+yphR+t//bHU2Lk46ffrS2/v0kdKksSQ3UyYb2x991HYqffqpdQUg2UU4ItEFwkzu3NJnn9m53cces+1Kf/3l3zXz5rWqzC+8YG2Niha1ld6kcr6nZk37umJF4K7ZuLFVuH7sMbaOAQD89+abVlfihx+k48ft7x5/XPrjD+nhh6Wbb770/m3bSm+8YbU+4uIuPgYIFyS6QBiKP7c7aZL04YdS6dL+V/mNiJB69bLrlCkjde8u1apljenDXeHCUo4cgU10PR7piSekPXukEK+BAgBwidatpdSprThl/Jj98MN2hvdK7rnHdhatWmXHdPbtS9RwgaAi0QVcbNWqVVq1apVPj/V4rJXAqlU2S3vXXVaB0V+33WaFlKZOtfZGRYtKTz8tnTnj/7XdyuOxVd2PPw7sKna1alboa8wY6ciRwF0XAHDj/Blr3ahgQaljR5vwvuUWqWzZiy2H/uvPP20FuEEDazF4111WvRkIByS6QJirWNHO7ZYqZTO3Dz54+fmdhPJ4pC5dpO+/t1Xdhx+263/2WWBidqNKlaQDB6yFQyCNHWutH154IbDXBQAkXa1b20T3Bx/Y+d14/52svfdeS3Tj4qz44pEjtrL788+JGi4QFCS6gIuNHz9e48eP9/s6OXLYamS/fraduUqVwBSUypVLeu89aeFCGxwrVZLuu086eND/a7vNHXfY1x9/DOx1S5WyDxjPPCMdPRrYawMAri9QY63blC5tXROqV7/4dxH/+uS/caMVp5o50wpVNW0q3X23dOqUJbs7dyZ2xEBgkegCLrZkyRIt8bdP0P9LlsySqfnzbfa2VCk7vxsIjRtLW7bYyu4bb0iFCknTpoVXsarbb7evW7YE/tojRkiHD9skBAAgcQVyrHWbDBls/F+82FraSfYZYNQoadAg27pcpow0fbq0ebNUvrytAB89atuYN2xwNn7AHyS6QBLTooWdrc2Rw1oFPfaYdO6c/9dNk8Za5mzcaOd2u3SxbdMbN/p/bTfInNl+BSPRvfNOqWFDacIE6e+/A399AEDSFhcn9e5tv1+zRvriC5uQfv99qXJlaf1667Pbrp2UIoX12T19WqpaVXr7bWdjB3xFogskQQULSp9/LrVvb60H6tSx9gOBUKSInQt6/XU743PnnbYlKhwqORYsKG3fHpxrDx9uZ3Vffjk41wcAJG233GJfd+ywYog332yTqylT2vbmxo2t1VDDhlaTokQJ6+LQooW1LgJCDYkukESlTm0VGV991c7wxMRIH30UmGt7PJZEb91q7Q2mT7fWBqNHh3afvpQppbNng3PtsmWtsvPEif4XCwMA4L/iz+dWr25t7ebMsVXdkyel3LmtFVH37lYkcdgwaeVKS3bLlZM6dJAWLXI2fiChSHQBF0uVKpVSpUoVtOt7PFY8asMGKUsWa3UzZEjgkrkMGaTnnrPzQLVr28BZqJAVvgjEdmkneL3Bu/bDD0u//87MOQAkpmCPtW5Tp47V05g3T9q/31Zyy5e3ZLZjR+vQcO6cndnNm1eaPdvqejRrZpOxwRwHgUAi0QVcbNmyZVq2bFnQn6dIETuvc999NpNbvbq0e3fgrl+ggPTOO7YlKkcOG0jvvPPSlgehwOMJ7vVr17bZ8/Hjw6uQFwC4WWKNtW5SoYKt6I4bJzVqZMdnCha0CVfJ+u7OmWNjUb581rmhcWPr3tCjh3TmjLPxAzeCRBeAJNvKPG2azdxu3GhbmRcvDuxzVK5sZ4PfessqOtatazPLoVLV0esN7ky2xyMNHGj9iZPYZy4AQCJLmfLi71Olkjp1st+fOGFdAD780BJhyT4jLFhglZqnTJFiY60NEeBmJLqAi40aNUqjRo1K1Oe85x7p66/tvE6jRlal8eTJwF3f47FG9lu2SM8+a89VtqxVgF67NnDPE2her23Bzp07uM/TqpUVCKHVEAAkDifGWrc5ccKKU86bJz3xhLUifPVVKVs2W9X1eOyM79ix0iuv2I6sNm1Cu+4Gwh+JLuBiK1as0IoVKxL9eQsUsAJVfftKL7xghSgC3VYnRQq7/i+/2Izxl19aO6JataRPPnHfGaAffpD27rWCUcGULJnUtav0wQfBq/AMALjIqbHWTUaNsq3J779vW5UnTbKjNOfPXyxiFe/++6Xnn7fiVFWrWm0JwI1IdAFcUYoUtuK6ZIkNYnfeabO4gU5Ao6OlRx+Vdu60s6mbN1vbg8qVpaVL3ZPwxn8GCnaiK9mHiMhI2x4GAEBieOQR65Jw771SsWL2d/9NcuM9+KC0cKFNgpcta7uzALch0QVwTQ0bSps22Wpr1662tfbQocA/T5o0Uv/+1t9v0iQrhtWwoVSypFUhdvos0IoVVn0yT57gP1fOnFLTpvaB48SJ4D8fAADS1RPb+fOtZeC/NWpkR44iI21y+t13gx8fkBAkugCuK0cOK0rx5JO2ValYMftzMKRKJT3wgPTTT9Jrr1mi17atNbp/+GFntvP++KNtJa5fP/Ges0cPm1BYuDDxnhMAkLRdqbvAP/9IffrYzq7p0y/daVW8uHVtKF5catHCik0CbkGiC7hYpkyZlClTJqfDkGSzvA8/bFWT06eX6tWTevUKXiGK5MmtDdGWLZZUV6kiPfOMnR+uWVN6/XXp2LHgPPe/HTtmlSjTpLE+wImlWjXp1lut1yEAIHjcNNa6UZo0NvaXKSN17mwJ7Z9/Xrw9WzZp+XJb1W3blmQX7kGiC7jY22+/rbffftvpMC5RsqQVjurbV3rxRfvzF18E7/kiIqwF0dtvS7t2WcGMnTutsX327Pb1o4+C09Nvzx4buDdskF5+2QbzxBIRYR8Y/vc/ad++xHteAEhq3DjWuk2uXHaE56mnrPVg8eLSypUXb0+TxgpZkezCTUh0ASRYqlRWqGr5clvRrVBBeuyx4DeQz5lTGjrUti+vWWOtkBYutEQ4e3ZbeV2yJDDneb/5xqpN//yzXbNVK/+vmVDt2knnzklz5iT+cwMA8G8REdbr/YsvpHTppLp1Lz2X+99kl7ELTiPRBVxs0KBBGjRokNNhXFXNmtJ330l3323998qXtzY8webxWHGsqVOt5c+770oNGtjXuDgpQwYbaAcOtAb3v/5qLRKuZ/9+6b33rHdwxYpWYGPNGtum7YQ77pBKlZJmz3bm+QEgKXD7WOs2MTFWhOrOO6WWLW2VN36M/W+y+9prjoaKJC7K6QAAXN26deucDuG60qe3c6SNG0vdu1tiNnq01K+fJYrBliqV1KSJ/Tp9Wvr4Yysc9fnn1ufv9Gm7X/LkduY1Tx4rbBUZaaul589bwauvv7bVW8l62bZqJT39tBXiclLr1tbyYdcuix8AEFihMNa6Tfr0drSmUycbo1assNoZ2bJZsrtsmXUP6NxZioqS2rd3OmIkRSS6AAKiRQubwe3e3VZS33lHmjFDKlgw8WJIntxWX+NXYE+dkr791pLYnTvt144ddqZXsmQ3IsIS2+LFpW7dbFX6zjstgXaDJk3sQ8TChbbSDACAG9x0k7UdmjrV6naULm3ja+HCNobG77Lq2NGS3bvvdjpiJDUkugACJls2S3DnzLGKzCVKSGPHWoKWGKu7/5UihTWyL1s28Z87UAoWtC3MJLoAALfxeGySuFw5m2SuUsU6JZQsacnue+/Z0aL27S3ZbdnS6YiRlHBGF0BAeTxWJOr776XataWHHrKBLzHO7oarpk2l1asvbecAJJZBgwapfPnyio2NdToUAC4VEyN9+qklt9Wq2VZmSUqd2go6li9vK7rTpzsZJZIaEl3AxW655RbdcsstTofhkxw5pEWL7Pzujz/a7O7IkRfPzOLGxcbaeeJ/t3IAEkuzZs00bdo0p8MAgiaUx1o3KVDACjjecot1Qxg3TvJ6pbRp7cxurVrS/fdLs2Y5HSmSChJdwMVmzZqlWSE8Ing81iJnyxapeXNpxAgrVrV+vdORhZZSpaSUKSXqpcAJZcqUUbp06ZwOAwiaUB9r3SRXLisG2bq1NHiw9OCDVvQxbVo7glO9up3ZfecdpyNFUkCiCyDosmaV3nzTti8dPWp9d3v3lv7+2+nIQkPy5FKZMtJnnzkdCQAA15Y2rbXFGzhQevFFm/A+c8YmbBctsvO8bdrYKi8QTCS6gIv17dtXffv2dTqMgGnY0M7u9uolTZokFSli/fZwfRUqWPXoEyecjgQAwku4jbVu4PFYf90nnrAClY0bS8ePWxK8dKlUrJjUrBkruwguEl3AxTZu3KiNGzc6HUZA3XST9bf97DMpOtrOn7ZoIe3e7XRk7la+vM2Ih9mPAwA4LhzHWrd45BFpyhTrb1+hgtXsSJfOevAWKmQru2fOOB0lwhWJLgBHlC9vK5SjR9vsbuHC0pNPUqzqam6/3b7+9JOzcQAAkBBdu9rRpT17rObElClSxoz26/bbrZc9EAwkugAckzy5NGSItR6qU0d69FHrvRvflgAX5ckjRUSQ6CLxPfTQQ2rTpo127NihKlWqaP78+U6HBCDENGggbdokVaokde9uW5nXrLHeu0CwRDkdAADkySO9+66t7PbubS0IWraUJkywCo6wSYE8eaTt252OBEnNM88843QIAMJAzpy2hfm552xi+8wZm+T+4guryPzDD9Lw4bbqCwQCiS7gYgULFnQ6hETVoIFUo4b09NPS2LFWqGrIEKl/fylFCqejc17+/KzoAkCgJbWx1kkREVK/fjbWz5oldegg/fabFBlpNTyqVLFjTXxLEAgkuoCLTZ061ekQEl3KlNKwYVL79pbgDhkiTZtm1RubN7dKjklVliys6AJAoCXFsdZpJUpI2bLZUaXffrOzujt2SF6vlDq109EhXHBGF4Ar5ckjvf229NFHUpo0tpW5ShVpwwanI3NOihTSqVNORwEAgP+yZ5e+/FJ6/XXpwAHpn3+kceOkW25xOjKECxJdwMW6du2qrl27Oh2Go2rVkr75xqo0btsmlS1rq72//up0ZImPRBcAAo+x1jkRETam79ghHTsmPfig/f25c9Ly5dLJk87Gh9BGogu42LZt27Rt2zanw3BcVJS1J/jpJ2nQIGnBAuu/9/DD0uHDTkeXeEh0ASDwGGudlyqV7d7yeKRDh6SaNaXate3r0aNOR4dQRaILIGRER1uRqm3brMn8+PFSvnx2fvf4caejC74zZ6xgBwAA4eqLL6RPPrHfr10rbdzoaDgIYSS6AEJOrlzSjBk2+N11l/TII5bwTpoU3iuev/wi3Xab01EAABA89erZzq1Ro6Q33rD6HIAvSHQBhKzixa337urV1orgwQelAgWkV16x1c9ws327tRgCACCcNW8uDR0qtWvndCQIZSS6gIvFxMQoJibG6TBcr3JladUqq9CcI4ed5y1Y0BLe06edji4wzp61Yh0kugAQWIy17uf1SvPmWSsi4EbRRxdwsYkTJzodQsjweKxCc82a0rJl0uOPW8I7erRtbe7UyYpdhKqffrJkl0QXAAKLsdb91qyRWreWCheWtmxxOhqEClZ0AYQVj0dq0EBav962Nd98s/TAA9Ktt1rye/Cg0xH6Zu5ce221azsdCQAAiatUKemtt6Rnn3U6EoQSEl3Axdq1a6d2HFDxiccj1a8vffaZtHKlFa167DFLeHv2tMrNoeL8een116UaNawQFwAgcBhr3S9NGlvRrVfP6UgQSkh0ARfbs2eP9uzZ43QYIc3jkapVkxYvlr7/XrrnHunVV60Pb1yctGKFnf1xs6VL7Xxux45ORwIA4YexFghPJLoAkow77pCmTZN27bLV3S++sHO9xYtLL7wg/fmn0xFe7uRJafBga5/UurXT0QAAAIQGEl0ASU62bNKIEdKvv0qvvSYlTy717i3lzCm1bGkrqGfPOh2l9QRu3lzavFmaMEFKlszpiAAAAEIDiS6AJCtlStsO/NVX0saNUo8edp63YUMrYtWrl53xPX8+8WM7c8ZWcJculaZMkRo3TvwYAAAAQhWJLuBi5cuXV/ny5Z0OI0koUUKaOFH6/XfpnXekKlXsLG+lStJtt0n9+0urV0vnzgU/llOnpLZtpUWLpEmTpC5dgv+cAJBUMdYC4Yk+uoCLjRs3zukQkpzkyaWmTe3X0aOWbL71liWczzwjZc4sxcZaRefKlaUcOQL33OfPS0uWWFK9fbttV37ggcBdHwBwOcZaIDyR6ALAVURHS+3b26+jR6UPP5QWLpTefVeaMcPuky+frfqWLSsVKWK/Mme+8ec4dcrO4K5YIb3yiiW4hQrZc9WpE4xXBQAAEP5IdAEXa968uSTp7bffdjgSREdboaqWLe387DffSGvW2K/335dmzrx432zZpPz5paxZpSxZ7OtNN1lSe/KkfT1wwM4F//DDxcJXlStbNeiWLW1lGQAQfIy1QHgi0QVc7E839ruBkiWzFdyyZaWHHrI+vL/9Zn16v//eVmh37pR++smKWR08eLGgVWSklCKFlD69nQuOjZVKlpRKl5by5HHwRQFAEsVYC4QnEl0A8JPHI91yi/2qW/fy28+ds5XcFCmkKP7XBQAACDo+cgFAkEVGSmnSOB0FAABA0kF7IQAAAABAWGFFF3CxmjVrOh0CAABhjbEWCE8kuoCLDRs2zOkQAAAIa4y1QHhi6zIAAAAAIKyQ6AIuVr9+fdWvX9/pMAAACFuMtUB4Yusy4GInTpxwOgQAAMIaYy0QnljRBQAAAACEFRJdAAAAAEBYIdEFAAAAAIQVzugCLhYbG+t0CAAAhDXGWiA8kegCLjZgwACnQwAAIKwx1gLhia3LAAAAAICwQqILuFi1atVUrVo1p8MAACBsMdYC4YlEFwAAAAAQVkh0AQAAAABhxXWJ7vTp01WoUCEdOnTI6VAAAAAAACHIVYnuH3/8oc8++0w5c+Z0OhQAAAAAQIhyVXuhcePGaeDAgerZs6fToQCu0KpVK6dDAAAgrDHWAuHJNYnu8uXLlTVrVhUuXNjpUADXYNIHAIDgYqwFwlOiJrodO3bUwYMHL/v7vn37asqUKZo+fXpihgO43vHjxyVJqVOndjgSAADCE2MtEJ4SNdGdMWPGFf9+69at2rNnjxo3bixJ2rt3r5o1a6b58+crS5YsiRgh4C4NGjSQJK1atcrZQAAACFOMtUB4csXW5UKFCmndunUX/lyjRg0tWLBAGTNmdDAqAAAAAEAoclXVZQAAAAAA/OWKFd3/+vjjj50OAQAAAAAQoljRBQAAAACEFVeu6AIwHTt2dDoEAADCGmMtEJ5IdAEXY/AFACC4GGuB8MTWZcDFDh48eMXe0wAAIDAYa4HwxIou4GItWrSQRG8/AACChbEWCE+s6AIAAAAAwgqJLgAAAAAgrJDoAgAAAADCCokuAAAAACCsUIwKcLEePXo4HQIAAGGNsRYITyS6gIu1bt3a6RAAAAhrjLVAeGLrMuBiu3fv1u7du50OA0ASt3r1atWtW1e1a9fW1KlTnQ4HCCjGWiA8saILuFj79u0l0dsPgHPOnTunkSNH6rXXXlO2bNnUokUL1ahRQ/nz53c6NCAgGGuB8MSKLgAAuKpNmzYpd+7cypUrl5InT66GDRtqxYoVTocFAMA1kegCAICr2rdvn7Jnz37hz9myZdO+ffscjAgAgOsj0QUAAAAAhBUSXQAAcFXZsmXT3r17L/x53759ypYtm4MRAQBwfRSjAlysf//+TocAIIkrVqyYdu7cqd27dytbtmx6//33NWHCBKfDAgKGsRYITyS6gIvFxcU5HQKAJC4qKkrDhw/X/fffr3Pnzql58+YqUKCA02EBAcNYC4QnEl3AxbZu3SpJKlSokMORAEjKqlatqqpVqzodBhAUjLVAeCLRBVysW7dukujtBwBAsDDWAuGJYlQAAAAAgLBCogsAAAAACCskugAAAACAsEKiCwAAAAAIKxSjAlxs6NChTocAAEBYY6wFwhOJLuBitWrVcjoEAADCGmMtEJ7Yugy42MaNG7Vx40anwwAAIGwx1gLhiRVdwMX69u0rid5+AAAEC2MtEJ5Y0QUAAAAAhBUSXQAAAABAWCHRBQAAAACEFRJdAAAAAEBYoRgV4GJjx451OgQAAMIaYy0Qnkh0ARerUKGC0yEAABDWGGuB8MTWZcDF1q5dq7Vr1zodBgAAYYuxFghPrOgCLjZ48GBJ9PYDACBYGGuB8MSKLgAAAAAgrJDoAgAAAADCCokuAAAAACCskOgCAAAAAMIKxagAF5s4caLTIQAAENYYa4HwRKILuFhMTIzTIQAAENYYa4HwxNZlwMWWL1+u5cuXOx0GAABhi7EWCE+s6AIuNnr0aElSrVq1HI4EAIDwxFgLhCdWdAEAAAAAYYVEFwAAAAAQVkh0AQAAAABhhUQXAAAAABBWKEYFuNiUKVOcDgEAgLDGWAuEJxJdwMUKFSrkdAgAAIQ1xlogPLF1GXCxxYsXa/HixU6HAQBA2GKsBcITK7qAi02YMEGSFBcX53AkAACEJ8ZaIDyxogsAAAAACCskugAAAACAsEKiCwAAAAAIKyS6AAAAAICwQjEqwMXeeOMNp0MAACCsMdYC4YlEF3CxXLlyOR0CAABhjbEWCE9sXQZcbO7cuZo7d67TYQAAELYYa4HwxIou4GIvvfSSJKl169YORwIAQHhirAXCEyu6AAAAAICwQqILAAAAAAgrJLoAAAAAgLBCogsAAAAACCsUowJcbMGCBU6HAABAWGOsBcITiS7gYpkzZ3Y6BAAAwhpjLRCe2LoMuNiMGTM0Y8YMp8MAACBsMdYC4YlEF3AxBl8AAIKLsRYITyS6AAAAAICwQqILAAAAAAgrJLoAAAAAgLBCogsAAAAACCu0FwJcbOnSpU6HAABAWGOsBcITiS7gYqlTp3Y6BAAAwhpjLRCe2LoMuNjkyZM1efJkp8MAACBsMdYC4YlEF3CxefPmad68eU6HAQBA2GKsBcITiS4AAAAAIKy4JtF94YUXVLlyZTVu3FiNGzfWJ5984nRIAAAkacuWLVPDhg1VuHBhfffdd06HAwDADXNVMaqOHTuqc+fOTocBAAAkFSxYUC+88IJGjBjhdCgAACSIqxLd6zl37pwkae/evQ5HAiSOs2fPSpL27NnjcCRAeIofT+LHF1wqX758170PYzNCHWMt4C6BGptdlejOnj1bCxcuVNGiRfXoo48qXbp0l9x+4MABSVLbtm2dCA9wTM2aNZ0OAQhrBw4cUO7cuZ0OIyQxNiNcMNYC7uLv2Ozxer3eAMZzTR07dtTBgwcv+/u+ffsqJiZGGTJkkMfj0XPPPaf9+/dr3Lhxl9zv5MmT2rx5s7JkyaLIyMjEChsAEKbOnTunAwcOqGjRokqZMqXT4TjiWmNzrVq1JEnt27fXww8/rGLFil12P8ZmAEAgBWpsTtRE90bt2bNH3bt315IlS5wOBQCAJO9aiS4AAG7kmqrL+/fvv/D75cuXq0CBAg5GAwAAAAAIVa5Z0R04cKB+/PFHSdLNN9+skSNHKmvWrA5HBQBA0vXRRx9p1KhROnTokKKjo3X77bfr1VdfdTosAACuyzUrunFxcTp9+rROnjypUqVKXZbkbtiwQU2bNtUdd9yhDz744JLbbr/99gv9d7t3756YYbvO6tWrVbduXdWuXVtTp0697PZrvY+///677rvvPtWvX18NGjRIstUHfX0P169ff+HnsHHjxipWrJiWL1+emKG7hj8/h0899ZQaNmyo+vXra/To0XLJXFyi8+c9fPrppxUbG6vY2FgtXbo0sUJ2neu9h6+99poaNGiguLg4dejQQb/99tuF2959913VqVNHderU0bvvvpuYYbtK7dq1tXr1am3evFlLly7V+fPnVadOHXXq1ElHjhy54mM6d+6s0qVLq1u3bpf8/aOPPqoaNWpc+D9yy5YtifESLvPXX3+pU6dOPr+O3bt3q2XLlqpdu7b69u2r06dPJ0bYV3Sjr+VqP8/t27dX3bp1L3xP/vzzz8QK/YLr/Ts9ffq0+vbtq9q1a6tly5aXfDaZMmWKateurbp16+rTTz9NzLAv4+vr2LNnj4o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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16,8))\n", + "model = smf.ols(\"Balance ~ Limit + Age\", data=credit).fit()\n", + "linear_regression.rss_contour(model, (0.15, 0.2), (-5, 0), ax1, [21.25, 21.5, 21.8])\n", + "model = smf.ols(\"Balance ~ Limit + Rating\", data=credit).fit()\n", + "linear_regression.rss_contour(model, (-0.15, 0.25), (-1, 5.5), ax2, [21.25, 21.8])" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "def model_summary(model):\n", + " results_df = pd.DataFrame({\n", + " \"Coefficient\": model.params.round(3),\n", + " \"Std. error\": model.bse.round(3),\n", + " \"t-statistic\": model.tvalues.round(3),\n", + " \"p-value\": model.pvalues.round(4),\n", + " }, index=model.model.exog_names)\n", + " results_df.index.rename(\"name\", inplace=True)\n", + " return results_df" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CoefficientStd. errort-statisticp-value
Modelname
Model 1Intercept-173.41143.828-3.9570.0001
Age-2.2910.672-3.4070.0007
Limit0.1730.00534.4960.0000
Model 2Intercept-377.53745.254-8.3430.0000
Rating2.2020.9522.3120.0213
Limit0.0250.0640.3840.7012
\n", + "
" + ], + "text/plain": [ + " Coefficient Std. error t-statistic p-value\n", + "Model name \n", + "Model 1 Intercept -173.411 43.828 -3.957 0.0001\n", + " Age -2.291 0.672 -3.407 0.0007\n", + " Limit 0.173 0.005 34.496 0.0000\n", + "Model 2 Intercept -377.537 45.254 -8.343 0.0000\n", + " Rating 2.202 0.952 2.312 0.0213\n", + " Limit 0.025 0.064 0.384 0.7012" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_age = smf.ols(\"Balance ~ Age + Limit\", data=credit).fit()\n", + "df_age = model_summary(model_age)\n", + "df_age[\"Model\"] = \"Model 1\"\n", + "\n", + "model_rating = smf.ols(\"Balance ~ Rating + Limit\", data=credit).fit()\n", + "df_rating = model_summary(model_rating)\n", + "df_rating[\"Model\"] = \"Model 2\"\n", + "\n", + "pd.concat([df_age, df_rating]).reset_index().set_index([\"Model\", \"name\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.754\n" + ] + }, + { + "data": { + "text/plain": [ + "Age 1.01\n", + "Rating 160.67\n", + "Limit 160.59\n", + "Name: VIF, dtype: float64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"Balance ~ Age + Rating + Limit\", data=credit).fit()\n", + "print(f\"{model.rsquared:.3f}\")\n", + "linear_regression.variance_inflation_factors(model).round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.750\n" + ] + }, + { + "data": { + "text/plain": [ + "Age 1.01\n", + "Limit 1.01\n", + "Name: VIF, dtype: float64" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"Balance ~ Age + Limit\", data=credit).fit()\n", + "print(f\"{model.rsquared:.3f}\")\n", + "linear_regression.variance_inflation_factors(model).round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "credit[\"Credit_worthiness\"] = (credit[\"Rating\"]/credit[\"Rating\"].std() + credit[\"Limit\"]/credit[\"Limit\"].std())/2" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.753\n" + ] + }, + { + "data": { + "text/plain": [ + "Age 1.01\n", + "Credit_worthiness 1.01\n", + "Name: VIF, dtype: float64" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"Balance ~ Age + Credit_worthiness\", data=credit).fit()\n", + "print(f\"{model.rsquared:.3f}\")\n", + "linear_regression.variance_inflation_factors(model).round(2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3.5 Comparison of Linear Regression with K-Nearest Neighbors" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "N = 80\n", + "x = np.linspace(-1, 1, N)\n", + "a, b = 2, 2\n", + "y = a + b*x + stats.norm(0, 0.4).rvs(N)\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", + "\n", + "data_train_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", + "data_test_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", + "\n", + "x_dense = np.linspace(-1, 1, 1000)\n", + "y_linear = a + b*x_dense\n", + "data_dense_linear = pd.DataFrame({\"x\": x_dense, \"y\": y_linear})" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "knn1 = KNeighborsRegressor(n_neighbors=1)\n", + "knn9 = KNeighborsRegressor(n_neighbors=9)\n", + "data_dense_linear[\"y_knn_1\"] = (\n", + " knn1\n", + " .fit(data_train_linear.x.values.reshape(-1, 1), data_train_linear.y)\n", + " .predict(data_dense_linear.x.values.reshape(-1, 1))\n", + ")\n", + "data_dense_linear[\"y_knn_9\"] = (\n", + " knn9\n", + " .fit(data_train_linear.x.values.reshape(-1, 1), data_train_linear.y)\n", + " .predict(data_dense_linear.x.values.reshape(-1, 1))\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "\n", + "sns.scatterplot(data=data_train_linear, x=\"x\", y=\"y\", color=\"red\", ax=ax1)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y\", color=\"black\", ax=ax1)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y_knn_1\", color=\"blue\", ax=ax1);\n", + "\n", + "sns.scatterplot(data=data_train_linear, x=\"x\", y=\"y\", color=\"red\", ax=ax2)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y\", color=\"black\", ax=ax2)\n", + "sns.lineplot(data=data_dense_linear, x=\"x\", y=\"y_knn_9\", color=\"blue\", ax=ax2);" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "linear_regression.compare_linear_knn(data_train_linear, data_test_linear, data_dense_linear, ax1)\n", + "linear_regression.linear_knn_mse_one_var(data_train_linear, data_test_linear, ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "N = 100\n", + "x = np.linspace(-1, 1, N)\n", + "a, b, c = 0.5, 3, 3.5\n", + "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.2).rvs(N)\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", + "\n", + "data_train_semi_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", + "data_test_semi_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", + "\n", + "x_dense = np.linspace(-1, 1, 1000)\n", + "y_semi_linear = a + b/(1+np.exp(-c*x_dense))\n", + "data_dense_semi_linear = pd.DataFrame({\"x\": x_dense, \"y\": y_semi_linear})" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "linear_regression.compare_linear_knn(data_train_semi_linear, data_test_semi_linear, data_dense_semi_linear, ax1)\n", + "linear_regression.linear_knn_mse_one_var(data_train_semi_linear, data_test_semi_linear, ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "N = 100\n", + "x = np.linspace(-1, 1, N)\n", + "a, b, c = 0.5, 3, 10\n", + "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.3).rvs(N)\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5)\n", + "\n", + "data_train_not_linear = pd.DataFrame({\"x\": x_train, \"y\": y_train})\n", + "data_test_not_linear = pd.DataFrame({\"x\": x_test, \"y\": y_test})\n", + "\n", + "x_dense = np.linspace(-1, 1, 1000)\n", + "y_not_linear = a + b/(1+np.exp(-c*x_dense))\n", + "data_dense_not_linear = pd.DataFrame({\"x\": x_dense, \"y\": y_not_linear})" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", + "linear_regression.compare_linear_knn(data_train_not_linear, data_test_not_linear, data_dense_not_linear, ax1)\n", + "linear_regression.linear_knn_mse_one_var(data_train_not_linear, data_test_not_linear, ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(1, 6, figsize=(12,5))\n", + "\n", + "N = 1000\n", + "x = np.linspace(-1, 1, N)\n", + "a, b, c = 0.5, 3, 10\n", + "y = a + b/(1+np.exp(-c*x)) + stats.norm(0, 0.2).rvs(N)\n", + " \n", + "for i, (ax, p) in enumerate(zip(axs, [1, 2, 3, 4, 10, 20])): \n", + " x_random = stats.norm(0, 0.5).rvs((N, p))\n", + " \n", + " x_multi = np.concatenate([x.reshape(-1, 1), x_random], axis=1)\n", + " x_train, x_test, y_train, y_test = train_test_split(x_multi, y, test_size=0.5)\n", + " \n", + " linear_regression.linear_knn_mse(x_train, y_train, x_test, y_test, ax)\n", + " \n", + " ax.set_ylim((0, 1))\n", + " ax.set_title(f\"p={p}\")\n", + " if i >= 1:\n", + " ax.set_ylabel(\"\")\n", + " ax.set_yticklabels([])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3.6 Lab: Linear Regression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.2 Simple Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 506 entries, 1 to 506\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 crim 506 non-null float64\n", + " 1 zn 506 non-null float64\n", + " 2 indus 506 non-null float64\n", + " 3 chas 506 non-null int64 \n", + " 4 nox 506 non-null float64\n", + " 5 rm 506 non-null float64\n", + " 6 age 506 non-null float64\n", + " 7 dis 506 non-null float64\n", + " 8 rad 506 non-null int64 \n", + " 9 tax 506 non-null int64 \n", + " 10 ptratio 506 non-null float64\n", + " 11 lstat 506 non-null float64\n", + " 12 medv 506 non-null float64\n", + "dtypes: float64(10), int64(3)\n", + "memory usage: 55.3 KB\n" + ] + } + ], + "source": [ + "boston = pd.read_csv('Data/Boston.csv', index_col=0)\n", + "boston.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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crimzninduschasnoxrmagedisradtaxptratiolstatmedv
10.0063218.02.3100.5386.57565.24.0900129615.34.9824.0
20.027310.07.0700.4696.42178.94.9671224217.89.1421.6
30.027290.07.0700.4697.18561.14.9671224217.84.0334.7
40.032370.02.1800.4586.99845.86.0622322218.72.9433.4
50.069050.02.1800.4587.14754.26.0622322218.75.3336.2
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" + ], + "text/plain": [ + " crim zn indus chas nox rm age dis rad tax ptratio \\\n", + "1 0.00632 18.0 2.31 0 0.538 6.575 65.2 4.0900 1 296 15.3 \n", + "2 0.02731 0.0 7.07 0 0.469 6.421 78.9 4.9671 2 242 17.8 \n", + "3 0.02729 0.0 7.07 0 0.469 7.185 61.1 4.9671 2 242 17.8 \n", + "4 0.03237 0.0 2.18 0 0.458 6.998 45.8 6.0622 3 222 18.7 \n", + "5 0.06905 0.0 2.18 0 0.458 7.147 54.2 6.0622 3 222 18.7 \n", + "\n", + " lstat medv \n", + "1 4.98 24.0 \n", + "2 9.14 21.6 \n", + "3 4.03 34.7 \n", + "4 2.94 33.4 \n", + "5 5.33 36.2 " + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "boston.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "model = smf.ols(\"medv ~ lstat\", data=boston).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.544
Model: OLS Adj. R-squared: 0.543
Method: Least Squares F-statistic: 601.6
Date: Wed, 15 Sep 2021 Prob (F-statistic): 5.08e-88
Time: 00:07:15 Log-Likelihood: -1641.5
No. Observations: 506 AIC: 3287.
Df Residuals: 504 BIC: 3295.
Df Model: 1
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 34.5538 0.563 61.415 0.000 33.448 35.659
lstat -0.9500 0.039 -24.528 0.000 -1.026 -0.874
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Omnibus: 137.043 Durbin-Watson: 0.892
Prob(Omnibus): 0.000 Jarque-Bera (JB): 291.373
Skew: 1.453 Prob(JB): 5.36e-64
Kurtosis: 5.319 Cond. No. 29.7


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.544\n", + "Model: OLS Adj. R-squared: 0.543\n", + "Method: Least Squares F-statistic: 601.6\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 5.08e-88\n", + "Time: 00:07:15 Log-Likelihood: -1641.5\n", + "No. Observations: 506 AIC: 3287.\n", + "Df Residuals: 504 BIC: 3295.\n", + "Df Model: 1 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 34.5538 0.563 61.415 0.000 33.448 35.659\n", + "lstat -0.9500 0.039 -24.528 0.000 -1.026 -0.874\n", + "==============================================================================\n", + "Omnibus: 137.043 Durbin-Watson: 0.892\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 291.373\n", + "Skew: 1.453 Prob(JB): 5.36e-64\n", + "Kurtosis: 5.319 Cond. No. 29.7\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "\"\"\"" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 29.803594\n", + "1 25.053347\n", + "2 20.303101\n", + "dtype: float64" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.predict(exog=dict(lstat=[5, 10, 15]))" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanmean_semean_ci_lowermean_ci_upperobs_ci_lowerobs_ci_upper
029.800.4129.0130.6017.5742.04
125.050.2924.4725.6312.8337.28
220.300.2919.7320.878.0832.53
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" + ], + "text/plain": [ + " mean mean_se mean_ci_lower mean_ci_upper obs_ci_lower obs_ci_upper\n", + "0 29.80 0.41 29.01 30.60 17.57 42.04\n", + "1 25.05 0.29 24.47 25.63 12.83 37.28\n", + "2 20.30 0.29 19.73 20.87 8.08 32.53" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# mean_ci_xxx is the confidence interval, obs_ci_xxx is the prediction one\n", + "model.get_prediction(exog=dict(lstat=[5, 10, 15])).summary_frame().round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.regplot(data=boston, y=\"medv\", x=\"lstat\", ci=95, line_kws=dict(color=\"red\"), scatter_kws=dict(alpha=0.5));" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Ppk2Dzz4Dk+m8NyUScEEQBEEQBKHBGAwG3n33XcLDw/F6vVx77bWMHj2aDz/8MHCfefPmMX78eACio6N57LHHSEtLC1XIZ3vhBViwAC6/HD755Lw6n5QnSlAEQRCERuPz+bj88su5/fbbQx2KIAiNRJIkws+UasiyjCzLSJIU+L3dbmfLli1MmDABgLi4OPr27YtO10TGiZ95Rk2+r7wSPv203sk3iARcEARBaETvvfcenTt3DnUYgiA0Mp/Px6xZsxgxYgQjRoygX79+gd+tXbuW4cOHY7FYQhhhFRQFnnwSHnsMrrtO7Xyi1wdl003k1EIQBEFo6bKzs1m/fj133HEH77zzTqjDEQQhCOpS371ixQo++eQTnn32WdasWUNsbCxPPvkkX331FXPnzg3xnlSiKGri/eyz8LvfwZtvglYbtM2LBFwQBEFoFM888wwPPvhg4I+yIAjNX3X13a++/S4HMjxYS/wsfekhLrl0HABdu3bl+uuvJyYmhi5duvDII49w+vRpXnnllRDvSTmKopac/POfcPvt8OqroAlu0YgoQREEQRAa3Pfff09sbCx9+vQJdSiCIARRVfXddo+P1T94SFthZNMXsGv7T9iVAVhdXnr16sWOHTtISUmhf//+nDx5krFjx2I0GkO8J2f4/TB/vpp8z5sH//530JNvECPggiAIQiPYsWMH69atY+PGjbjdbux2OwsWLOD5558PdWiCINSTz+dj9uzZZGRkcO2116KL7sHhDUa8Dh2ZJ9OIjbmItxc/wCdvyZj1ElOmTOHSSy/lrbfewmQyMW3atArby8vLY86cOdjtdjQaDe+++y7ffPNNw9eI+/1wxx3wxhvqCPjf/w7lJosGk0jABUEQhAb3hz/8gT/84Q8AbN26lbffflsk34LQQmi1WlasWEFxcTF33303cV0P4S3tD8CJE1/Rtes1tGs/iYun25kySF01csuWLXz22WesXLmSmJiYCtuLj49n48aNjbsTPh/cdhu88w48+ig8/XSDJd8gSlAEQRAEQRCEOrC6vGw55GDV9hK2HHJgdXkBiIyMZNiwYRw/sAV9mA+3u5CCgl9p02Ys+jAf0RFq2nngwAEef/xxXn311bOS75CQZbjxRjX5/stfGjz5BjECLgiCIDSyYcOGMWzYsFCHIQjCebC6vKz+wcPhnUa8pVp8Uh4H+5cwa1IcJnxs3ryZa2+6mVKtm68+/JY2yWMwRWrpOsBNj/YGTp8+zbx58/j73/9Op06dQr074PWqLQaXLVM7njz8cKM8rUjABUEQBEEQhFo5kHEm+XaoKWRxYSH/fu6PvPfKb/Xd0ydPxOry8sG/v2bKlTcx/BI1+Y426fnHK69gtVr5y1/+AqjlK59//nlodsbthquughUr1EmX99/faE8tEnBBEARBEAShVqwlfrylv/XDjonpwZTJyyvUdwNEm/Ss+O+HZz1+4cKFLFy4sFFirZHLBXPmwDffwMsvw913N+rTiwRcEIRGV5eFG1599VW+/PJL3njjDQDCw8N58skn6dGjRyh3QRAE4YKSlZXFQw89RGZWHo4SDZ1TrqJ795sASD/2Husf/JCXzDrGjBnDQw89xJdffslbb70VePzBgwf54osv6NmzZ6h24TelpXD55bB2Lbz+OqSmNnoIIgEXBKHRVbdww4cf/jZaMm/ePMaPHw9A27Ztef/994mKimLDhg088cQTLFu2LFThC4IgXHC0Wi0PP/wwyZ27sXJtES/+5XpaJ41AVnIpKFzLp8s/JyEynIKCAgBmzpzJzJkzATX5vvvuu5tG8m23w4wZsGEDvP22usplCIguKIIgNLqqFm6Qys04t9vtbNmyhQkTJgAwcOBAoqKiAOjfvz/Z2dmNH7QgCMIFLCEhgd69exNt0jNjQgxdenakQ9/jFNk+4v4Hfk9CpPqdHhcXd9Zjv/7667N6fYdEcTFMmQKbNsH774cs+QaRgAuCECI+n49Zs2YxYsQIRowYQb9+/QK/W7t2LcOHD69y0YXPPvuM0aNHN2aogiAIQjn2/ByyMw5x2/8Np6TgJAd2/8LcuXO5/vrr2b1791n3/+abb0KfgFutMGkSbN0KH38M114b0nBECYogCCFReeGGPXv28OSTT+LxeDh58mQgyS5fF56dnY3H42HdunWsXbuWF198EY1Gg1ar5dFHH2Xw4MGh3CVBEIQWz+FwMH/+fB599FEsFgs+nw+bzcann37Kr7/+yn333UdaWlrgquauXbswm81069YtdEEXFsLEifDrr/DZZzBrVuhiOUMk4IIgNJr9WTZW7cnhlNVJcrSZKX0S6ZkUxbBhw9iyZQvvvvsubrebKVOmkJmZyS+//BKoCz9w4ABXX301d999NzExMQwfPpzx48cjSRIHDhzgvvvuY9WqVSHeQ0EQhJbD6vJyIMODtcRPdISGLkkSf7xvPjNmzGDSpEkAJCYmMnHiRCRJom/fvmg0GoqKioiNjQWaQPlJXh5MmAAHD8Ly5XDZZaGLpRxRgiIIQqPYn2VjycZj2JxeojVu8gqtLNl4jF+O57B582Y6d+5MeHg43333HaNGjcLv9wdGUE6fPs3dd9+NRqPhmmuuAdRuKGW/dzqdFWrIBUEQhPopW3AnbYWRLV9ZWLvcwF13PU5yh47cfPPNgftNmDCBrVu3AnDs2DG8Xm9gdUu/38+3334bugQ8OxvGjoXDh2HlyiaTfIMYARcEoZGs2pNDlFlPlFlPQWER65cuRpZ9/Phvhev/bxaXXnopPp+Pv//97/h8Pm644YZAXfgrr7xCfn4+er2e6667LrBww5o1a3jhhRcoLCzk9ddfD/EeCoIgtByVF9zJOrGLXT99TUFuF2adKeF44IEHmDNnDo8++ijTp09Hr9fz3HPPBQZEtm3bRlJSEu3atWv8HTh1CsaNU//7zTdqIt6ESIqiKKEOoiFkZmYyfvx40tLSaNu2bajDEYQL3oJlu0iKMqEpN1LtVxSybC6en9uvwn3L6sKfeOKJQN3gbbfdxty5c5k8efJZ2962bRuvvPIK77zzToPug9BwxHe2IDQtq7aXsOUrCyjlri5KylkL7jRJGRlq8p2bC99+CyNHhjqis4gSFEEQGkVytJkSl1zhthKXjEErsWjNIRYs28WiNYfYn2UjMjKSYcOGsWnTJgAKCwv59ddfGVvNCMaQIUM4efIkhYWFDb0bgiAIF4ToCA36MF+F2/RhPqIjmnjqeOwYjB4N+fmwZk2TTL5BJOCCIDSSKX0SsTm92Jxe/IqCzenlRIGDnGJ3tXXhKSkpAHz33XeMHTsWo9EY2N6JEycou4C3d+9ePB5PoO5QEARBqJ8e7Q10HeBGHy6DpKAPl+k6wE2P9oZQh1a9w4fV5LukBNLSYNiwUEdULVEDLghCo+iZFEXq6E4VuqC0iTKh12lrrAsHtYfs73//+wrb++6771ixYgU6nQ6TycSiRYvERExBEIQgiTbpmXQJtG/vDnRB6dHeQLRJH+rQqrZ/P4wfD14vrFsH/fqd+zEhJBJwQRAaTc+kKHomRQV+XrBsF7EW9WsoLrkTcx9+MVAXfk+5uvClS5dW2E5WVhabNm1CURRkWeayyy4L9ABfunQpH3zwAVqtljFjxvDQQw/h9Xp5/PHH2bdvH7Isc/nll3P77bc3wh4LgiA0X9EmPRd3a6IJd3l79qjJtyTB+vXQu3eoIzonkYALghAyydFmbE4vUebfvuBLXDLJ0eYaH6fVann44Yfp3bs3drudOXPmMHLkSPLz80lLS+PLL7/EYDBQUFAAwKpVq/B4PKxcuRKn08m0adOYNm2amOwnCILQ3P3yi9rn22hUR767dw91RLUiasAFQQiZqurCbU4vU/ok1vi4hIQEep8Z4bBYLKSkpJCTk8NHH31EamoqBoNaoxgXFweAJEk4nU5kWcblcqHX66tc5l4QBEFoRn7+We12EhYGGzY0m+QbRAIuCEIIldWFR5n1ZNlcRJn1pI7uVKFM5VwyMzPZv38//fr14/jx4/z888/MnTuX66+/nt27dwMwefJkzGYzl1xyCZdeeim33HIL0dHRDbRXgiAIQoP78Ue17CQ6GjZuhC5dQh1RnYgSFEEQQqpyXXhdOBwO5s+fz6OPPorFYsHn82Gz2fj000/59ddfue+++0hLS2P37t1oNBo2bdpEcXEx1157LSNGjAjN4hCCIAhC/WzcCNOmQVKS2u2kGX6XiwRcEIRmY3+WLdBFpXWEnm3vP8eMGTOYNGkSAImJiUycOBFJkujbty8ajYaioiK++uorRo0ahV6vJy4ujoEDB/Lrr7+KBFwQBKG5SUuDmTOhfXv1/9u0CXVE50WUoAiC0Czsz7KxZOMxbE4vrSONrHl3MVZtLBdPmR24z4QJE9i6dSsAx44dw+v1EhMTQ1JSUuD20tJSdu3aFegxLgiCIDQT330H06dDSora7aSZJt8gRsAFQWgmVu3JIcqsV+vFj+zl+I4NRLXuwK3XXUV8hJEHHniAOXPm8OijjzJ9+nT0ej3PPfcckiRx3XXX8cgjjzBt2jQURWH27Nn06NEj1LskCILQpFhdXg5keJpm3++vvoI5c6BXL3WFy1atQh1RvYgEXBCEZuGU1UlSlAmApM69uePllYGe4c+X6xn+/PPPn/XY8PBw/vWvfzVarIIgCM2N1eVl9Q8eDu804i3Vog/zkTHAzaRLCH0S/sUXcNVV6uI6330HsbGhjScIRAmKIAjNQnK0mRKXXOG22vQMFwRBEM7tQMaZ5NuhA0XC69BxeKeRAxme0Ab2yScwdy4MHgxr17aI5BvECLggCM3ElD6JLNl4DIAIk44Sl4zN6eWqIWIxHUEQhNoqX2YSZlHw+8DllMi1yZQUGzFpf7uvt1SLtcQfumCXLoXf/Q5GjoSvv4aIiNDFEmQiARcEoVko6xle1gUlOdrMVUPanncLQ0EQhAtN+TITjc6PQ+MmM11H62g9sSlOsq1eWkdJmHRqFq4P8xEdEaJiibffhttug0svhS+/hPDw0MTRQEQCLghCs1GfnuGCIAgXMqvLy9oddtauMuJ3++nQ283uNWbsxRp0PWSiiky07eLClgMmyYQ+zEfXAW56tDc0frCvvQZ33gmTJ6v13+aWV2ooEnBBEARBEIQWrGzk+2imhsPbTUg6iE1xUpQvoZUkXG4Fd7GB8CiFHpPstIqQQ9cF5V//gnvvVdsNLlsGJlPjPn8jEQm4IAiCIAhCC1Y2wVITCRGxfooLdBQXaNFbfOCRMBklAPyyhi5tjFzcLUTlHv/4Bzz0EMyeDR99BIYQjL43EtEFRRAEQRAEoQWzlvjxlmrBYaDPCDeRcTJ5R/X0HeWkfQ83raI16MPl0JWcACxcqCbfV10FH3/copNvECPggiAIgiAILU5Zt5MCu5ecIpmTJRqkfD1t2+sYPsmNZJTp3EMmPlLC5QxhyYmiwJNPwlNPwQ03qJMvdS0/PW35eygIgiAIgnABKav5PnFYS1GpQuZxIxGtvGSc1FNcDD166ukzGCb2DwvtIjuKAo88An/7G9xyCyxZAlrtuR/XAogEXBAEQWhwbreb6667Do/Hg8/nY/LkycyfPz/UYQlCi/RbzbebPZtNFBfoaNVeQ5/hLqKiFbp08zNhoCX0yfcDD8DixWrHk5dfBs2FUxktEnBBEC4o+7NsFXqJT+mTKFobNgKDwcC7775LeHg4Xq+Xa6+9ltGjR9O/f/9QhyYILUL5kpOMHB97Dmvo3E+mKN+EVoL8DAMmExiTDVgusoc2+fb7Yd48ePVVtePJokUgSaGLJwSadAKelZXFQw89REFBAZIkceWVV3LTTTdhtVq5//77OXXqFMnJySxevJioKPEHVBCEmu3PsrFk4zGizHqSokzYnF6WbDxG6uhOIglvYJIkEX5mIQ1ZlpFlGekC+4MrCA3lpM3Jl2lu0vdpUbQa/H4NGUc1RMZr8Ot9KB4JgxFMRim0i+uAmnzffju8+SY8+KBafnIBfhc06QRcq9Xy8MMP07t3b+x2O3PmzGHkyJF8/vnnDB8+nNTUVJYsWcKSJUt48MEHQx2uIAhNSFUj3av25BBl1hNlVkd+osx6ihxu/vzlPtrHhokR8Qbm8/mYPXs2GRkZXHvttfTr1y/UIQlCs2R1edl9wklGrgenW6GoSGL1BxZSespsX28iIs5P90FeCrK19BjkIeOQn5hIiTbJUmg7nfh8cOut8O678Pjj6sTLCzD5hibehjAhIYHevXsDYLFYSElJIScnh7S0NC6//HIALr/8ctauXRvCKAVBaGrKRrptTm+Fke69p21EmH4bd8i3uziQXUKh3VPhfvuzbCGMvuXSarWsWLGCDRs2sHv3bg4dOhTqkASh2bG6vHy3xcmGTX5++M7A5tVG0n/Vs2e7DkXnIz9by4l9Bk4d1tGpp0yvvjJz77Bz3d0uLpvtZdIlIeh0AiDLapeTd99VE++//vWCTb6hiSfg5WVmZrJ//3769etHQUEBCQkJAMTHx1NQUBDi6ARBaErKj3RrJCnw/8UumRKXHLhfeq4DSZIwGzT8dKyQrccKOJpn5/0fT4Qw+pYvMjKSYcOGsWnTplCHIgjNzoEMDyeOSeRlaflpTRiSJJF7SovZomDN0xAR60PxQ362lqITJlynLfTtZGbW0Cgu7hYemuTb44Grr1YX1/nb3+CJJxo/hiamWSTgDoeD+fPn8+ijj2KxWCr8TpIkUUcoCEIFp6zOCiPdABEmHVFmHTanF5vTi19RyLe7cXl9lDi9uLw+Iow6FEVhU3qBGAUPssLCQoqLiwFwuVxs3ryZlJSUEEclCM2PtcSPz6cOHhflaSkt1pCXqWXQaDd5p3T0H+2kdYqX1u1l2iQT2pITALcb5s6F//5XnWz50EOhi6UJadI14ABer5f58+czY8YMJk2aBEBcXBy5ubkkJCSQm5tLbGxsiKMUBKEpSY42Y3N6A7XeACUumV5JUYFa8FNWJ3EWI0UON2EGPSa92ntWkiRiwvSs2pMjasGDKDc3l4cffhifz4eiKEyZMoVLL7001GEJQrNidXmxu2XsTgm3V0NUvMzxfQY69HaTn6Whcx8vnXvLjJhQTEKsjrZx+tAsrlPG6YQ5c+Dbb+GVV+Cuu0ITRxPUpBNwRVF47LHHSElJ4eabbw7cPm7cOJYvX05qairLly9n/PjxIYxSEISmZkqfRJZsPAaoI98lLhmb08tVQ9rSMykqkFjvz7Jx+9IdhOkVFEXBLftxy376t4vilNUZyl1ocXr06MHy5ctDHYYgNFu/dTrRYY72ERbpZ8BYJ7s2minK1jBotIf2nf306aKjf4o5tG0GAUpLYdYsSEuDN96A224LbTxNTJNOwLdv386KFSvo1q0bs2bNAuCBBx4gNTWV++67j88++4w2bdqwePHi0AYqCEKT0jMpitTRnSp0QSlLvivf75Iucew9XYzd7cNi0tG7TSQGnZYos56vd5/i3R8zyCl2kRhp4qbh7ZnWNzlEeyUIwoXI6vKy/biDnb/KfPlOOMV5ejp199HrYifthnsYONqNxaSlU5KO/ikhqvGuzG6H6dNh0yZ45x248cZQR9TkNOkEfPDgwRw8eLDK37377ruNHI0gCM1J+ZHumtwwvEOgN3j50fKkKAPPfXuQcKOOBIuBYqeX575Vv49EEi4IQmMo63hyJMPPqRN6ft1ixGhScLm0FGZF0LWXzP/d5GHKoIhQh/obmw0uuwy2boX334drrgl1RE1Ss5iEKQiC0FDKRsujzHqybC6izHpSR3ci7UA+4Uad2klFo0GvlXB6fPz5y30sWnNITNIUBKHB/XLUyd59frJPacg9pSE2wYerVEOJVaKkREFjCPGiOpUVFcGkSfDTT/DJJyL5rkGTHgEXBEFoDFWNlucUu0iwqJ0DSj0yp60uPF6ZUq+ft384xvtbTpA6uiO3j+kaipAFQWjhrC4v+474sFm15J7ScPq4lv6j3PyyCRzFGqITZfqN8NCjfXioQ1UVFMDEibB3r9rxZObMUEfUpIkEXBAEoQqJkSaKnV6izBoKHR68Ph92jx+NBjSSQlGph+e+PcSyn09x/8SuoixFEISgOpDhwZ6vQ/FBUZaOtik+Mo9qGTTWRZtOPlK6+Zh5aVjTqPnOzYUJE+DQIVixAqZMCXVETV4Tum4hCILQdNw0vD0Ot1oP7vTIlLp9ABg0EiUuH4oCCnA838FTX+3n692nQhuwIAgtirXEj89qpFWCQqdeXqzZGjp1l+nYU6ZnHz9XXBpGuyhzqMOErCwYOxbS0+Hrr0XyXUtiBFwQBKEKZSPa7/6YQZbNhR+INGlxeHz4AenMPz/gdPv49/qjYhRcEISgiY7Q4Jc16B1munZ30rm3E0WCDu1h8sCIpjHynZkJ48bB6dNqr+8xY0IdUbMhRsAFQRCqMa1vMp/ePpyPU4cRE2ZAkjT4/L/9XiOBTiNh0kucLCoNXaCCILQ4Pdob6DrAjd8nUXI0Ak9mJB1bGZtO8n3ihJpwZ2fDd9+J5LuOxAi4IAjCOaidUjryyvdHUc7cppHUEpRwgxafAnqtGM8QBCG4Wrfz4dEV4/dLtG+tbRoL7AAcPQqXXgrFxbB2LQwdGuqImh2RgAuCIFSyP8vG+z+eYOdJGwoKA9pFc8PwDrSNCePxL/ZgdcpIgMWoRavR4JJ9jO7SKtRhC4LQQlhdXlb/4OHwzjC8pVr0YT5MA9yQEurIUCdajhunLjOflgYDB4Y6omZJJOCCIAjl7M+y8fx3hziW78Bi1CIhsfVoIVk2Fw9N6c6HqRfz5xV7OVFQikv2odVI9EqKZN6ErhW2UX4Vzil9Emu1KJAgCAKo/b83rdNTlO/DZPTTKkrL4Z1G2rd3c3G3EI6A79sH48eDzwfffw99+4YulmZOJOBCgEgaBAFW7ckh3+4mwqTDpNeqN0oShQ4Pq/bkcP/EbvxlVu9qPyv7s2ws2XgMv99Pls3FzowivtubzbxxncUkTUEQzqms//e+n8PxeTRo9Aq2JJnOHTRYS/zn3kBD+fVXNfnWamH9eujVK3SxtAAiAReA35KGKLOepCgTNqeXJRuPkTq6k0jChQvKKasTt+wjslydpVGnocQlc8rqBGpe5n7Vnhz8fj8Hc+wYdRriwg0Uu2ReSjtCSrxFfJ4EQajRL0edZJ+U8Gpk7KU6wkwSBVk6Wrd1h27Vy5071UV2TCZYtw66dQtNHC2ImDUkAGrSEGXWq8tuS1Lg/1ftyQl1aILQqJKjzRh1WtzybyNNbtmPQachOfrcPXdPWZ1k2VwYdRpMei2SJBFp0iH7FfF5EgShRlaXlz3pMts3Gmjfw4OMj4JiH6YIHyn93PRob2j8oH76Sa35Dg+HDRtE8h0kYgRcANSkISnKVOG2CJMuMOInCBeKKX0S2XPKxrF8B4qiIAF2t4/2cWFM6ZN4zscnR5vZmVFEXPhvfyjdsp/YcL34PAmCUKNfjjrJPKoh+4SegiwdvYZ4iY6XaZWgMKi/pvE7oGzerC6sEx+vjnx36NC4z9+CiRFwAVCThhKXXOG2EpdcqxE/QWhJeiZFsWByN4anxCL7weNXGJYSy0NTuteqfGRKn0T0Wg3FLhlFUXB5fbhlP60jTeLzJAhCjTKyfRzZaab/KA8el4at34axbXUYYZF++nZo5O+PjRth0iRo3Vod+RbJd1CJEXABUJOGJRuPAerId4lLXYL7qiFtQxyZIDS+nklRLJx9frP7eyZFMW9cZ15KO0Khw0tsuJ4OsWFotZpajaALgnDh0mgU3HYNRV4DQ8a5MYb7QVFo38HfuKPfaWkwYwZ07Kj+f1JS4z33BUIk4AJQttBIpwqdHa4a0lZMGBOE8zCtbzIp8RbRVUgQhDppn6Sj72gXuzeaObQljIhYH31HO2mf0Ii136tWwRVXQNeu6iI7CQmN99wXEJGAh0hTbPlXU2cHQRDqRnyeBEGoq74dzGT1cxIZ6cTnUzv+deikNF75ycqV8H//B717w5o1EBfXOM97ARIJeAiIln+C0PQ1xZNkQRBavqQk8OJt/OXn//tfuPpqdWXLVasgJqbhn/MCJiZhhoBo+ScITVvZSbLN6a1wkrw/yxbq0ARBaKFO2px88I2D99/Qsf7zcNJ/Cif3tLZxnvzjj+Gqq2DoUFi9WiTfjUCMgIeAaPknCE1b+ZNkIPDfVXtyxCi4IAhBd9Lm5IvvS1n+TjjWHB0RERI2qw/Q0769p2GXn3/vPbj5ZrjkEvjqK4iIaLjnEgJEAl5OY11yTo42Y3N6A3/UQbT8E4TaaozPqThJFgShsVhdXlZvdpFxRMexPQZAwuXyA1qiouWGXX7+rbfg979XF9pZsUJdbEdoFKIE5YzGvOQ8pU8iNqcXm9OLX1EC/y9alAlCzRrrcyr64guC0FgOZHjIy9FgL9ARE+9H8Us4SzSUlChoDL6GW37+1Vfhtttg8mR18qVIvhuVSMDPaMy67LKWf1FmPVk2F1FmvZiAKQi10FifU3GSLAhCY7GW+FE8OkqLtAwY4yY2UQYUohNl+o3wNMzy84sXw913q72+ly8HsxhcaGyiBOWMxr7kLFqUCULdNdbnVPTFFwShsURHaND5tLTt4iMzXcvQ8W4scTLtO8vMvDQs+B1Q/v53+OMfYc4c+PBDMDRij3EhQCTgZ4i6bEFo+hrzcypOkgVBaAw92hvI6OqBw1oiBviQDDLxiX4mjQijXVSQv9v++lf405/UdoNLl4JOpIGhIkpQzhCXnAWh6ROfU0EQWppok55JlxgYNd7HgEF+xo7QMedSS3CTb0WBJ55Qk+8bb4T33xfJd4iJV/8McclZEJq+xv6cisV4BEFoDNEmfcO1GlQUteTkH/9QJ12+/jpoxPhrqIkEvBxxyVkQmr6G/pyWJd17T9vILHLSPdFC+7jwQMeVCT3jOZTjEEm5IAhNn6LA/ffDiy/CXXfBSy+J5LuJEO+CIAjCGeXbHBY7vQAczLFT6HATZdbj8/l5ad0RsUKmIAhNn9+vdjp58UW47z54+WWRfDchYgRcEAThjPJtDu1uH5EmHW7ZT3qug1YWE9nFLrw+v1ghUxCEoDlpc7J1rwtriUJ0hMSw3qb613/7fHD77epCO3/8Izz7LEhScAIWgkIk4IIgCGeUb3NoMelwe30YdRqKXepoeKHDS1x4xZZdYoXM2snKyuKhhx6ioKAASZK48soruemmm0IdliCEjNXlZeuxEn7YBBtWmCnJ19G2o8LR6aVcM5PzT8JlGW65Re1y8qc/wZNPiuS7CRIJuCAIwhnl2xx2iQ9nR4YVt+wn0qTD5vSi00hn9SEX7UprR6vV8vDDD9O7d2/sdjtz5sxh5MiRdOnSJdShCUKjs7q8fPU/B5n5fj5/I4KMQ3rCLApOpwKEkdLZQbsR5/G94vXCDTfAJ5+oLQcffzzosQvBIYqBBEEQzijf5jDOYqRbggUUiApTy1Lmje+MRqO5YNog2mw2Dhw4EJRtJSQk0Lt3bwAsFgspKSnk5AR/pWFBaA5+Oepkz69QWiJxdJ8er1vCUSxRbJU4fULCWqLUfaMej9rf+5NP1MV2RPLdpIkRcEEQhDMqtznsFG/hzks7V6jvTom3tOh2pTfccAP//ve/kWWZ2bNnExcXx8CBA3nkkUeC9hyZmZns37+ffv36BW2bgtCcHMuSKSnRYvBJJHeSOXlYj+yV8HgUohJ8REfUsWTE7Ya5c2HlSnWZ+XvvbZC4heARCbggCEI552pz2NLblZaUlGCxWFi2bBmXX3458+fPZ8aMGUHbvsPhYP78+Tz66KNYLJagbVcQmgury4u91E9piY6T6QYmXlXK6o/DyMrQ0q6Ll7GXlzKsdx3KT5xOuOIK+O47+Pe/4Y47Gi54IWhEAi4IgiAE+Hw+cnNz+fbbb7nvvvuCum2v1xtI6CdNmhTUbQtCc/HLUSfFBRoiYv14PZCZrmPWrXai4hSiov1MGWGu/QRMhwNmzoTvv1c7ntxyS8MGLwSNqAEXBEEQAu666y5uvfVW2rdvT9++fTl58iQdO3as93YVReGxxx4jJSWFm2++uf6BCkIzZHV52ZMus3mVCa8bolv56TvcQ0QUREcrzBlroUd8La8MlZTA1Kmwfj28955IvpsZMQIuCIJQgwttOfqpU6cyderUwM/t2rXjpZdeqvd2t2/fzooVK+jWrRuzZs0C4IEHHmDMmDH13rYgNBe/HHWSeVRD9gk9BVk6OvbxIssyrRIUBvTQ1X7k22ZTk++ffoIPP4SrrmrYwIWgEwl4iFxof9QFob5C8ZkpWxkzyqwPrHz591UHaRNlwu1TWtRn969//StSDb2CH69nR4XBgwdz8ODBem1DEJq7jGwfR3aG0X+Uh50bjGz9NozY1jJz7iqhb4fw2m2kqAgmT4ZffoFPP4XZsxs0ZqFhiAS8EZUlEPuybJwscNIt0UKHVuGB5axTR3dqEX/IBSHYqkqEG+MzU35lTACP7COjoJRCh4fR3eJb1Ge3T58+oQ5BEFo8PwoF+VBo1dJ3lJOIKAUJaN/BT7RJf+4N5OfDxImwbx98/jlMn97gMQsNQyTgjaR8AmEr9YIEh3LtWEw64iPUhT3EctaCULXKiXBjLQFffmVMgPQ8BxajFo/Pj0aSWtRS9FdccUWoQxCEFs3q8qL4FboNcvPTd2aO7TWQ1FFm9HQX7RMM595ATg5MmADp6fDll+oouNBsiQS8kZRPIErcMpEmHW7ZT3qeg/gIk1jOWhBqUDkRhsZZAr78ypgAecUuHB4ZvwI/Hi2gS3w4cRZji/rsFhYW8sYbb5Ceno7b7Q7c/t5774UwKkFo/g5keDh90ExsvIchk5xotAp6vUSHLjJ9O0TU/OCsLBg3Dk6cgK++gvHjGydoocGILiiN5JTVSYRJPd+JNOlxy36MOg12lwyI5awFoSbJ0WZKznxWyjTGZ6b8ypg5xU6KnF6cHj+tI424vT52ZFg5ke9oUZ/dBQsWkJKSQmZmJvfccw/JyclcdNFFoQ5LEJo1q8vLvpMu1q+Drd8bcDsl9HoJnQ4SE6Way08yM2HMGPW/q1aJ5LuFEAl4IymfQHRJCMct+yl2yViM2ha/nHVLsz/LxqI1h1iwbBeL1hxif5Yt1CG1eOUT4cZcAr5nUhQTesazL6uYb/dko0EdeddqNBh16tfnoRx7i/rsWq1W5s6di06nY+jQoTz77LNs2bIl1GEJQrNldXn56n8OcvMVTmdo+SnNxLcfhbH6kzAO7zDh89bw4OPHYfRotfxk9Wr1/4UWQSTgjaR8AhEbbqR7otrnM/JMWUpLmMR1ISir5bc5vRUmA4okvGGVLREfZdaTZXM12mdmf5aNtfvz6JUUSZsoM21jzBh0Gvx+JVBK1i7O3KI+uzqdeqUuISGB9evXs2/fPmw2cXwLwvn65aiTPb9C/mkt3fp7iW7lo9QOepOfzv1dmE3VdB86ckQd+S4qgrVrYfjwxg1caFCiBryRlCUQZW3UOraycMfYzi3qD/eFIFSTAYXQLAFf/v2OMOtxe31EmfWY9FouTomrUB/eUtx5552UlJTwxz/+kb/+9a84HA4eeeSRUIclCM1W+ikvNpuWnFM6Th/TMnC0h4gYP6Ag+STiLFV8hxw8qNZ8u92wbh0MGNDocQsNSyTgjSgUCYQQXKGaDCg0nJr6i5d/v7vEh7Mjw4pRK2FzegJXtK4a0jaU4QfdpZdeCkBERARLly4NcTSC0LydtDmxlfgptuk5ma6jTUcfOzYacRRr6DPEw/Bb3fRoX/FvCvv2qcm3oqhLzIs5GC2SSMAFoQ4qd8UAMYG2OTtXf/Hy73d8hImB7aPZe7oYjaQhyqznqiFtW9xJdXWj3c8++2wjRyIIzd/WvS7yM/VExfjp3FvmyF4dQ8a56NBdpkNnHzMvDa84AXP3brXVoE4HaWnQs2foghcalEjABaEOpvRJZMnGY4A68l3iklvkKOiF4lwlRZXfb4NOS0q8pUXP2Rg7dmzg/91uN2vXriUhISF0AQlCM2YtUTi0JYy2fdy0au2jUw8vkhbiEnzMudRScen5HTvURXbCwtSyk65dQxe40OBEAi4IdVC5lj852hxIvhetOdSoy6Q3R6FYTr4m5yopqur9HtIxmlV7cnjrh+NNYh+CbXKlxT2mT5/OtddeG6JoBKF5s1ig2KmwZ6uBdl29SH4NGg0M6K9UTL63blUX1omOVstOOnUKWcxC4xAJuCDUUeVa/lAtk97cNMXXqTYlReXf76a4Dw3t+PHjFBQUhDoMQWh2rC4vsgwDxjpZ82kYB3ebSeklM/UqJxf3DPvtjv/7H0ydCvHx6sh3hw6hC1poNCIBv8A1tRHJ5kh0Rqmdpvg61bWkqCnuQ7ANGDAASZJQFAVJkoiPj2fBggWhDksQmp1fjjpZ+5kZrd7PZdeVojcpaHUKAwZKv41+r18P06dDcrKafCcnhzRmofGIBPwCdj6jeSJhP1tT6ozSlN+fpvQ6lamupKi616wp7kOw7dy5M9QhCEKLcCxLZv8uE06HHt0PJsJMEkaTQoe2xeod1q6FmTPVcpO0NGjdOrQBC42qySfgjzzyCOvXrycuLo6vvvoKUFdqu//++zl16hTJycksXryYqKimkWQ0J3UdzbsQL7/XRlPpjNLU35+m8jpVVpf2oE11H4Jh7969Nf6+d+/ejRSJIDR/VpcXe6kfWZYoLtAiacAV4adjKz8ajQLffAOzZ0P37moiHh8f6pCFRtbkV8KcPXs2b775ZoXblixZwvDhw1m9ejXDhw9nyZIlIYqueTtldRJhqngOVtNoXvmEXSNJgf9ftSenMcJtskK1THplTf39aSqvU320hH2oznPPPcdzzz3HU089xZVXXskTTzzBE088wZVXXslTTz0V6vAEoVk5kOHBXaKj/1gnYTEybq8fY5ifnheXMmDfd3D55dC7t1p2IpLvC1KTT8CHDBly1uh2Wloal19+OQCXX345a9euDUFkzV9ytJkSl1zhtppG8+qasF8oQrVMemVN/f2p6+u0P8vGojWHWLBsF4vWHGJ/VuiXQ28q73VDWLp0KUuXLiU+Pp7PP/888O+LL74gMbH5n2AIQmPKscoc2K7HEqEwdIKTqdc7GDzOybi8z+l1743qypZpaRAXF+pQhRBp8iUoVSkoKAj0pY2Pjxcz9M9TXSegteTL7/XVFFY5bQ7vT21fp6ZcTlPVPjTl2vu6OnbsGN27dw/83K1bN44cORLCiASh+fHKfvJOGSjMMhDfwYMx3M/g3Z8y9fPbkS6+WC1BiYwMdZhCCDX5EfBzkSQJSZJCHUazVNfRvJZ8+b0laEnvT1Mvpymv7GTB5vRWOFloCiP256N79+489thjbN26la1bt/L4449XSMgFQTg3rR469XOSX+jn53VGOnzxKdd/9nuK+g+HVatE8i00zxHwuLg4cnNzSUhIIDc3l9jY2FCH1GzVZeS2rh0jhMbVkt6f5tRtpKW1Jnz22Wf56KOPeO+99wC1DPCaa64JcVSC0HxYXV5y8xROn9DSqbeHSYf/wzVf3cfx7peS/9bHxFksoQ5RaAKaZQI+btw4li9fTmpqKsuXL2f8+PGhDqlJC+bl8aZQaiFUr6W8P82hnKZMczpZqA2j0cjvfvc7fve734U6FEFoljbtt7NlgxZDmI/On/yH607dx4/xU9jxxNtc1z061OEJTUSTT8AfeOABfvrpJ4qKihg9ejTz5s0jNTWV++67j88++4w2bdqwePHiUIfZZDXlWlpBqE75+QluWWbf6RKKSr1c0iWO/Vm2JnXsNqeThZrce++9vPjii8yYMaPK369cubKRIxKE5udAnp39R2S++zSaezyLefT0Q+zsehlLr3iH4ckaok36c29EuCA0+QT8n//8Z5W3v/vuu40cSfPU0i6PCxeGsnKa9388wf/SC4kJ0zOicywGnbbJnUDWdTJzU/XYY48B8Nprr4U4EkFonqwuL2u3uigu0nCP7e88WvQ4n2v/jzsL36fLLwojppaGOkShCWn2kzCD7tQp8PtDHUXQNPXWdIJQnZ5JUbSKMDGuRwJjuyeQGGlukpMxW0prwrLOUjExMSQlJZGcnIzH4+HAgQOB3wmCUL1N++0UFioMeOcFNfkOu5rrtR9gjtMwYLSL9klNfsxTaETiaKhs0SI4ehRuugmmTgWDIdQR1UtLuTwuNH/nMxehudRXt5Tae4Drr7+eDz74gOLiYm699Vb69OnDN998wwsvvBDq0AShSTppc7L5cDHHjkgMf+85Jm5exMZe1/DxJa8wy+TCaFLo3FOmb4eW8R0hBIcYAa/sH/+Axx9Xl4a9/HL44AMobb6XjVpSazqh+TrfVn11XSxKqD9FUTCbzaxevZprrrmGf/3rX6Snp4c6LEFokk7anHy+3s7RdIkRb/6ViWmL2DTwJv6YvARHqZ6IaD/d+nmZOsok6r+FCsQIeGWSBAMHqv8OHoR33oH//AfmzoWrroLo6FBHWCd1aU3XkhYTEZqW852LcK766mAfs+IzoCbgO3fuZOXKlSxcuBAAfwsqyxOEYNqwq5Sc0xLTP3ucEeuW8G3v37Mo5XkGD/QSGecnPMLPoP5aesSL1oNCRSIBr0n37vDss5CRAUuXwuzZcNllcN11kJQU6uhqrTaXx0W3FKEhnW8pSU0nkME4Zssn3EatxGmbiw5x4Rf0Z+DRRx/l9ddfZ8KECXTt2pWTJ08ybNiwUIclCE2O1eUlJ09m1kd/ZNimd/mw/Ty+mfgUEU7Iy9JSYtXQb5iXYZ0iQh2q0AQ1SALu9/spLS3F0lKazbdvD489Br//PXz8sZqAjxwJN9wA3bqFOrqgaIxuKWJ08cJVn7kI1Z1A1veYrZzAbzyUh90lkxRlQiPpL9iOQUOHDmXo0KE4nerJUbt27Xj88cdDHJUgND2b9tiY+PL99N30EZ/0+QMbZj9G+o8GYhP8xHWR6dhdFqUnQrWCVgP+hz/8AbvdTmlpKdOnT+eyyy7jzTffDNbmQ25/lo1Fu6wsSBrDy/e9wOn4ZLj3XrjnHvjpJ1CUUIdYLw3dLaWlLdfdUuzPsrFozSEWLNvFojWHGuz9aIi5CPU9Zisvd+/x+bEYtaTnOc5rey3Fzp07ueyyy5g6dSoABw4c4MknnwxtUILQxJwsKKHzA3fQd/1HfD9jARuvfpTM4zqGTnAxeJybrn29TB2rF6UnQrWCNgKenp6OxWLhyy+/ZPTo0fzhD39g9uzZ3HbbbcF6ipCpPFKW75L5R+LFpL42h567flQnbhqNcOONMH48aLWhDrnOGrpbSjBH2GsaST+fUfYLdWS+McuO6jIXobbqc8zuz7KxZl8OfsVPlNlAl4RwIk16nB4Ze7lJnxfihM9nnnmGt956izvvvBOAHj168PPPP4c4KkFoQrxelCtvpNem5bzS6Un2DZtPYgeZ9t18KAqYzDDlYrNIvoUaBW0EXJZlvF4va9euZdy4cej1eiRJCtbmQ6rySFmgF/GhIpg5Ez75BFJT4dNP4Yor1P+6XKEOu04aultKsEbYaxpJP59R9gt5ZL7a47qBemz3TIri/ondeH5uP+6f2K3eSf75HrP7s2z8fdVBCuxucordHM938L/D+cSF67G7fei10gXfMSip0hwXjUY0zBIEADweuOoq2q9bzifj/8qGqfezZY2JravNHNhuwFGs4aKuYuRbOLegfateddVVjBs3DqfTyZAhQzh16lSLqQE/Z/Ko0cDo0fDmm/D002pJyowZsGQJWK2NH/B5aOjFRILVTq6mpPF8EsrGTkKbkvqeFDVW+Up1zveYXfrjCTIKSoky65EAn1/B6pQ5nGunU6twereJbNYL6tRXUlISO3bsQJIkvF4vb731Fp07d673dh955BGGDx/O9OnTgxClIISAy6U2Y/jiC9bd9gwvmR7AaFbo1NNLVKwfn08iItLPoI7hoY5UaAaCVoJy4403cuONNwZ+Tk5O5r333gvW5kOqTpe6+/aF55+HEyfg/ffVD+uUKerEzeTkRoy67oKxmEh15RzBWq77XN006tppo7ks9NIQ6lvC0RS65pQds2XH3Vs/HD9nGdHOk1YsRi0mgw6DTkNhqQef20dRqZd/XVP/kfnm7sknn2ThwoXk5OQwevRoRo4cyZ///Od6b3f27Nlcf/31/PGPfwxClILQyEpL8c66HP3aNXyX+g/W9r6Fvh3d7NhoJDbBR0wrP+26eul3kVZMuhRqpd4J+H/+858af3/zzTfX9ylC7rySxw4d1M4pt9+ulqjceCMMHar+t2fPRoq8cZ0rKaupBri2ddjnShrrmlBeyCuF1uekqDG65tRWXU8GJCTKpkyHG3WEG3U4PTKynws++QaIjY2tsOqlzWbjww8/DNSEn68hQ4aQmZlZ3/AEofE5HHinTUe3cQOr7n6RzQOu47Pnw5lybSnDJ7swmsAnQ0SUIloOCrVW7xIUh8NR47+WoF7lGa1awd13w8qVcNFF8Ic/wJ13wo8/NvvOKZWdq5yjuhrgutRh11T3ez41wRfySqH1Oa4bumtOXdSljGh/lg2NBEfzHBzPd+Bwe3F5fdjdPga0u7CT76ysLJ544gluv/12li1bRmlpKX/729+YMmUKBQUFoQ5PEEKjpASmTkW3aSPf3vUq20dci7VAQlE0fPN+OPt/NnL8gA5rvoa2iRox+i3UWr1HwO+5555gxNHk1bs8IywMrr0WrrwSVq+GxYvV2vEbb4SJE0HX/NdEOt9yjrqMpp5rJL2unTYaojtHc+qqcr7HdVO6clDb467sRC+lVTh2t9rt5ERBKW2izHRqFc71wzs0ZthNzkMPPcTQoUOZNGkSmzZtYs6cOfTs2ZMvv/yS+Pj4UIcnCI3PaoWpU2HbNnYtfJvd7afj9ysc3adn8jUOvvsojLWfmunS18v/3W7n4p5hoY5YaEaClvW53W4+++wzDh8+jNvtDtz+7LPPBuspWgadTl1Nc+pUdRT83XfhlVfU5Pzyy9VEvZk636Ssrol7TUnj+SSUwah9L9NUaqMbQnWrRtanpj8YkqPNHM+3k13sptjlJdKkp3WkkY6tKk4CL3+iZzHpSM9zUGj3EBVuYMFkUftts9mYN28eAKNGjWL06NE8//zzogOKcGEqLIRJk2D3bvjsM3JSxuLaIWO3aWjfVebEIR0zbnIQ1cpPRJSfi/pItItq+aWLQvAELQF/8MEHSUlJ4YcffuDuu+9m5cqVpKSkBGvzLY8kwYgRMGIERzZspfDfbxH97IucGjWBNrffRLd+zW+FzXPVFFc3MtyURlPrqynVRgdT5ROLEpesLl4j+8iyyUG5clDVc9bmSkK3xHA+35FJuFFHhFGLzenltNXJpN4Vy4jKn+jFR5iIjzDhVxSybK4a425OVzTqy2azoZwpjYuOjqakpKTCz4JwQcjPhwkTYP9++OILrOMncfIHKx63hKRVMJqhe38vpjAFrVahdYKGESmRoY5aaGaCloBnZGTwr3/9i7S0NK644gqmT5/OddddF6zNt1j7s2wsyTYSde29tHYU0GntV0jXXU/+uFG0uv0W6N071CHWWk3lHDWNDAerQ0pT0FK7qlR5YhEbRpRZz/0Tg3+yWJcrCYdyHAxoF012iRu7SybSrKdbgoVDOQ6mlbvf+ZzoVRXH898dIjHSiMentKiE3G63M3v27EDCDXDFFVcAIEkSaWlp9dr+Aw88wE8//URRURGjR49m3rx5zJ07t17bFISgy8lRF9Q7ckSduzVpEt9vLyQzU8PX74UxYqqLDt1kJAl8skSrVgqzLo4Std9CnQUtAdedqWGOjIzk0KFDtGrVSkzcqYXyiY3T3Jp9V9/Gz5PnMmDnRi575BGIj1dbGI4dq9aMN3HVlXPUNDJ8/8RuQa/DDpWWNJpfXmOfWNTlSsIpq5MOrcLpVG7hC7+inBXb+ZzoVY7D6/NxLN9Bvt3N6G7xLarEaN26dQ26/X/+858Nun1BqLfTp9XkOyMDvv6ak4OGs3lHFseP6XCVasg5qeO1P0Wj1YLRpNB3mIe7Hy8VybdwXoKWgF911VXYbDbuvfde7rzzTkpLS5k/f36wNt9iVZXYmKIjWTdwApc9fR+sX6/2E1+8GK6+GmbNgvCm0+S/tpfnz5XABbMOO5Ra0mh+eY19YlGXhL+2sZ3PhNvKcaTnOrAYtXh9SqDjCjT/EiNBuOCdPAnjxkF2Nqxaxcm+g/lycwlOpw6vWyIvS8sllznZ9JWZ/CwtrZJ8DLzURfuk5t9AQQiNoA2pzp07l6ioKIYOHUpaWho//vgj11xzTbA232LVuEKkVquejb/9NixcCL/+qq6wuXgxZGWFJuBy6tI+MFgrYTZ1Db2iaKg0drvGuhwvtY3tfGq5K8dR7PIiAZZyLRhbQomRIFzQjh1TV7POzYU1a2DUKNbudFBUJOF2SbhKAT9Exfm5ZLqTq+8tYcp1dlJ6eunboWX9DRMaT9BO3V5++eUqb79Q2hSer1qPmF50ETz7rJp4f/KJWpYybJjaPeWii0IQed3KBFrqyHBVWspofnkN0a6xJnU5XmoTW3U15RN6xnMox1FtUl45DoNWg90l0zv5t/u0xBNJQbhgpKerI992O6SlweDBbDlZRF6+An4JtxvyTqupkgJ07C6jM4Al0k//XnpRfiKct6Al4GHl2ue53W7Wr18vuqDUQp0Tm6QkuO8+SE2FFSvU1TZbtVIT8UsvVUfNG0ldygQaO4E7H43Z7aKxO2sE4/ka88SirsfLuWKr6mTxeF4Jf1qxD7Nei19R0GokvtuTzbzxnZnWN7nKOPq0ieS0zYVBpz6mJZ1IWq3WGn8vuqAILc6BA+pVZo8H1q2D/v05aXOyebuM1wN+Pxw/qKNtZ5n8LB0F2Rpkj0RUnJ9uXTQM6th0ykGF5kdSlIZZjtHj8XDrrbeydOnShtj8OWVmZjJ+/HjS0tJo27b5/3Gslt+v1ol/8IF6+eyaa+pdJ17bZG3RmkPYnF68Ph/puQ6KXV4MWg192kSycHbfeuxU4ys/Qlp+xDWY5SNlr+ve0zYyi5x0T7TQPi68QZ6r8vM29L41pNoejzXdb8GyXSRFmdBIEgB5JS6+25uD0yNjNuiQUCduRpn1GPVaFl3Vr9rXpqW2JRw3bhySJKEoCllZWURGqm3ViouLSUpKavBJmhfMd7bQNOzZo7YaBFi7Fvr0AeD9jQVknFY4cVhD+84yhTk68rI0dO/vRW9UOwi3T4bJ/aLF6LdQLw02e8DpdJKdnd1QmxfKaDTq5bNx42DvXjURf/NNmD5dnbTZpk2dNleX9m9T+iTy/HeHOJavTkwzaCTsLpnTNhf7s2zNKil5/8cTHM2z4/H5iTTp6ZIQHljOPBj7Uf51LXZ6ATiYY8di0tHKol5FaKiJfPXpTR7qZLO2x+O57ld5omZ6ngOvz49GI6HTgE6rQfYpuGX1tppem5ZYYgS/dUF5/PHHmThxImPGjAFgw4YN9W5BKAhNyq5davKt16sj3z16AGB1eckpUPA4Ye8WExrcdOjpJamjhN8HBr3CmCFGBrTAz7/Q+II2CXPGjBmBf9OmTWPKlCncdNNNwdq8UBu9e8Mzz8CHH6orbl5/Pfzxj+pKXqhJyqI1h1iwbBeL1hyqcrJk+WStrMtDWSJaWc+kKBIjjUSYdMh+MBp0DEuJpUNceJX3b6r2Z9nYlF6AoihEGHW4vD62n7DiluWgTa4r/7ra3T4iTTqMOg3puQ6gYSfynbI6iTBVPNeuzfPVZZJtQ6nt8Xiu+1WeqFlo96DTSGgkCa1GwiP7cXhk8u1uSj0y+xpxH5uaXbt2BZJvgDFjxrBz584QRiQIQbR9u1quaTbDxo2B5Bvgl6NOfH6FYwd0DB3vYvePRjYsD+PgTj0eFyL5FoIqaCPgr7322m8b1emIi4sL9AYXGlnr1jB/Ptx2m7qQwBNPYDWFs77LaIoHj6hxJLGu/Z49PoXR3eIDl/ah6h7MTdmqPTnEhKkjo5IkYdKrdfT7TpcwtntCUJ6j/OtqMelwe30YdRqKXepoeENO5DvfFoJNYVXP2h6P5e+Xb3eRnuvA5vSgkTSBUfvytdyxFgNtY0z8eqoYh9uHx+fHr4BWo77/Jwuc57yKE+qrAw0lISGBV199lZkzZwKwcuVKEhKC8zkQhJDasgWmTIGYGHXku1OnwK+sLi+/HvVgzZewRCnknNIwfk4pRrPa87t7d0TyLQRVvUfArVYrVquV8PDwwD+j0Yjdbj/npB6hgYWFwVVXwRdfsGbIVIZuW8sNf7uXXmlf0gpPlSOJdW0XeK7712bUPdROWZ30TIrALftxeX3qSoCKQlFp8NrslX+dusSH45b9FLtkIoy6Bm/pd74tBM935DyYans8lt0v3+5i+wkrRQ4PhQ4PWVYn93+8i693n6JnUhT3T+zG83P78ZeZvYgJN3JRmwg8Pj+yz4+EQkKEEaNOS7dES41XcZrC1YGG8sILL1BYWMg999zDvHnzKCws5IUXXgh1WIJQPz/8ABMnqk0LNmyokHwDbD3kwO5Q2LQyDL8fEpL9uF0abIUadDqFUZ2jQxO30GLVe4h69uzZIZ24I9SCRsPWDn3JWDCUVhlH6LFuJb3/dCdHh45h46DxwG9Lide1XWBN969LPXkolY0QD2wfTXqeA7tLRq+VuKRLXNDiLP86xVmMZ5ZKtxMVpo4wN2RHmPPtQNMUVvWs7fFYdr+jeXZ8Pj95dg9IkBxtwqfAS+uOkBJvCexz+dfkQI4djSRh0mtoFWGiS3w4cRZjjScaTeHqQEOJjo7m8ccfp7S0tEJ3K0Fotr7/Xp0X1a6dOvJdxdyoo6d8yDJEx/vZstpEUnsfCck+WrXxERUliQmXQtDVOwEXE3eah7JkStOhC5tvvh9zUQHt167kd6/9GY6sVfuK9+17Xu3fqrv/ojWHmkWSUpa8RZn1DOsUG0jybhjeIWjPUfl16hRv4c5LOzdqW7+6PldT6N1e2+Ox7H4PfLqLIqcXo05DfISRcKMORVEocHjOOu7KvyaVTzRsTm+NJxp1LdVqTnbs2BFIwNevX8+BAwf4+OOPefLJJ0MdmiDU3erVamewzp3VPt+JZ1/5s7q8uGU/tnwt+ac1JLb1ExGjkJ+tpTBPw8VDpCo2LAj1E7Qi7V27dvH0008Hfh4zZgzPP/98sDYv1FPlZCrbFMnB8VeS8sd5sH0TPPkkRETAddfRc/x4ek7sVvMGy6kuuWsuSUpj9Sgv217Z85SVODSlk5HyGrt3e3U11bU9eeiZFMWkXq35encWseF6pDPzEtyyn7hwQ7XHXVUnGicLS/FEGlmwbFeV9d1N4epAQ3n22Wd56623uPPOOwHo0aMHP//8c4ijEoTz8PXXMHs29OyprnAZH3/WXawuL19usyJpFPw+GDDKzTfvh5N9UkvPQV6mXe9gWG9xJUgIvqAl4GLiTtNWXTLVIykKOl8J//d/sGkTfPQRvPgizJ2rfnFFnX+y1ZySlMZoLddYJTnBnBzYWC336vPalN9fo1ZC9vsodklEmnS4ZT9u2U/HuLBqj7vKnw2jVsKvKBh0WuIsuipjaQpXBxpSUlJShZ81mqA1zBKExrF8OVx5JfTtq46Cx8ZWebdN++2cOg0lRVqQwBimcPOjxWg1YDArdEmBdlFN72+W0PwFLQF/4YUXePnllwNLzw8ePFhM3GliakymNBoYM0b9d+gQfPwxXH652iv1mmvgPFY1belJSl1VVzf8/o8naBVhCkrC3Fzq7is735rqyvtb4pJJiDCRW+LG61NHvjvGhaHRaGqcdFr+s7FozSH0Om2NsTSHlV3PV1JSEjt27ECSJLxeL++99x6dO3cOdViCUHvLlqmrQw8eDN9+C9Ws4mp1eTl8Qsbnk9i5yYjshW4DvJSWaHA6QEJi9EWGxo1duGAELQEvm7gjNF21Hhnt1g3+9Ce45x74/HO48061fu6aa2DkSDVZr4WWnKScj6pKctyyzP/SCxnXIyEoCXNTnRx4rmPvfMuVqtrfXm2i6CL7iD9zUmPUSijAC6sPUeySiTLr6JUUVe3xX9tYWuqCPE8++SQLFy4kJyeH0aNHM3LkSP70pz+FOixBqJ0PPoAbb4QRI+Cbb9TSymqs/dWGzweyB4qLNMS08vPZKxYKsrV0G+jlunl2erQXCbjQMOqdgC9cuJDHHnuMO+64o8rfl+8PLgRfXZbprvPIaGys2kv8xhvVpXqXLIFFi9QVNqdPV9scnkNLTVLOR1UlOftOlxATFryEuSnW3dfm2DvfcqXq9jfLJnP/xG6B5/b5/GQWOkECW6mHML2WJRtLqzz+m1PpVENwu91nXb3My8sLUTSCUAfvvAO33AJjx6prYISHV3vXLSeLOJqhoPjB44FhE1xsXWti0KUu2nb20b6Ll8vGG0T3E6HB1DsBnzVrFgC33HJLvYMR6qYuSXW9RkYNBrjsMpg6VV1V88MP4bXXYMYMtc94HZe7v1BVVZJTVOplROeKtYlVJcy1PdFqisljbY698y1Xqry/eSUu9p4uxutTWLTmEHklLqLMevZlFWPUazDptbi8PrKL3bSONPLnL/fRPjaswmt6oZdOjR8/nilTpvDMM89gMqknN6mpqXzxxRchjkwQarBkCdx+u9rre/nyGgeINh4vYNsuP7IHsk9qMZoUTBY/M36nrkysN0C3rmLhHaFh1XtmTZ8+fQAYOnRo4F/37t2JjIxk6NCh9Q5QqF5dlo0PyqIqkgT9+sHf/qZe5tNq4YYb4MEHYccOUJT67lKL1jMpigk949mXVcyXu06zL6uYPkkRmPQV35fKCXNdFn2pzaI7jb04Um2OvbJypSizniybmjTXpgyn/P7mFDvZerSQEpdMv3aR2JxefkgvwOWVsbtkjDr1686o05Bb4uJAdgmFds9Zr+n5xtJSdOvWjUGDBnHNNdeQkZEBoC5OJQhN1csvq8n3tGnw5Zc1Jt9pR/LYusOP1w22QgmnQ4PHJeG0a7DlayixShjEwjtCIwhaDfgNN9zAv//9b2RZZvbs2cTFxTFw4EAeeeSRYD2FUEldyg2COTKqjsaWcCppDB3uG8MVWb/QduFCMBrViS+TJqmj5s1IYywrvj/Lxtr9efRKigz0Gz9R4OBkYSnEhlU72lqXqxfnqrsPxSTN2h57NZUr1dSisGx/tx4rwGLS0Sc5klYW9XMRE6Znf1YJFpMOt9eHSa8NdEYx6rTEWn47eYXfXtOglU75fGC316ubUGOTJInrrruOHj16cMcdd7BgwYJAS0dBaHJeeAEWLFCbBnzySY1/ezYeL2DXHnA7JfR6hf3bjXTp48Vu0xAR7QdJIjLGz8RhYaL0RGhwQUvAS0pKsFgsLFu2jMsvv5z58+czY8aMYG1eqEJdkupgXVavnMAVuGReiOpH6r9m0vPEfrU85aWXYM4c9V9cXP12shE0RFJaVcJYVSLdIS4cj+wjyqyvdqJqXeu6a0oeQzFJs77H3rnen7J/Za+Tplyy2KtNBP9LL6R/2zAO5dhxy34URUErAQp0iVdrRPPtLg7n2MkpcZNf4kIBPD6lfidjVis88ojaQejBB+v++BApG+0eNGgQ77zzDvfddx9Hjx4NcVSCUIVnnoHHHlPbDb7/PuirT5p3ZtnY9osfr1c9Ly51SHTp4yV9j572XWXMFoWIKD+9ekGPeEsj7oRwoQpaAu7z+cjNzeXbb7/lvvvuC9ZmhRrUJbEJVkeSahO4fXn0nDhCnXl+9KjaxvD//g9Gj1a7p/ToUc+9VTXESHWwk9LqEka720uP1pEV7lt+wmB16nKi1VDdRuorTK/hp2OFKCh0ig0jOtzAWz8cr9V7WNv3p6rXyajTMapLHK0iTJR6fYEuKDanTOsII/ERJvLtLrafsAIQYdSy/mAeDo+PmHA9h3P07M608tCU7nU7FvbuhYcfVq8G3X13HV6p0FuyZEng/xMSEnjvvffYuXNnCCMShEoUBf7yF/Xfddepky911aczVpeXjds9eD3g94OtUINWo9Z9DxztRqcHjUYhNk5hVOeYxtsP4YIWtAT8rrvu4tZbb2XgwIH07duXkydP0rFjx2BtXqjC+SwbX99ktVYJXEoKPPqo2sbwiy/ggQegbVu1e8rYsbVuY1hZQ5VPBDsprS5hPGV1UuKS61wGVNsTrcqvz7E8O/d/nE27OHOg7V5jT9IsH9P4nglkFDjYkWFlQLtoOrQKrzLGyu9lbd+f6l6nqo6P8nX1h3PsgdudHh8Orw+dRsLl9RFp0pNRUMrSH0/wzOy+595hRSHzjffwvbaEb2bejKvHaKbklDSL+vEVK1Ywa9Ysvv766yp/P2TIkEaOSBCqoCjqqPezz8LvfgdvvqnOR6rB2l9tuNQmSJw6qiU20Y/DpkGPgt6gIElqq/ApgyNE6YnQaIKWgE+dOpWpU6cGfm7Xrh0vvfRSsDYvVKOx2/zVKYGLjISbblJHKL7/Xr1EuHixerlw1qwa+7NWpaHKJ4KdlFaXMEaa1FUVy36ubSlGVSs1mvWas0aQy78+eSUuDuXaz7Td8wZOVib0jGft/rw6x3C+Kr9n2cVuwo06skvcWEy6KmMsS5jLRvP3nS7mcE4JvdtEEh+hvq5l70/lEf8JPeM5lOOo9oS0/P3Neg1e2UdOiZvECCNdEiys3peDQSuh02jw+PyY9FpQFHaetJ57Z0tLyX/0z+Rs28OGu/+C0q4dJc1kISQAp1M9oXE4HCGORBCqoShqvfc//6lOunz11XMO6OzMsnE0Qy2rKrZJGE1QmKOhU08ZFHWNgFbxfq4YEiuSb6FRBS0BP3bsGE8++SQFBQV89dVXHDhwgHXr1nHXXXcF6ymE8xTMso3zqufV6dTWUBMnqpfmP/oI3n4bpkxRR8Xbt6/VczdU+USw285Vl9D3bhMVqAWvaxlQ2YlW+RHlysukl3990vMcGHUajDoNJe7fRt0P5TgadXGkyu9ZscuLVlI4mmfnaJ4drQTxEcYKMZZ18Snbz37tItl6tIitRwsZ0ikGk17d7yEdo3n+u0Pk2924ZR+Hc0rYc8rIgsndatULv+x9Htk5DkO5lS9RwOdXMJzpmqKgrohXo+PH4aGHOGRuTdoDz2CJDEei6SyEVBtXX301QGA1Y0FoUvx+uPdetePJvHnw4otqZ64aHMiz8/02j7rQjlVCqwWTxU9kLLhKNWi0CnGtFJF8CyERtAT8iSee4KGHHgqsmNajRw8WLFggEvAQq23ZRm2T9HrXkvfuDU8/Dbm58NlncOut6m3XXANDh9b4hdpQ5RPBXrGzqoT+RIGDNlGmwKj1rZd0DPpKl+VfH7tLxmJUO35EnvnDUnay0phXTSq/ZzpJ4niBkzCDFp+ioCiQWeSiXYy5QowV91PP8M4Se04VsyvTxqRerblqSFve//EEx/IdZ64u6HHLfo7lO3j/xxMsrKJcpLrXziv7AlcmWkcaOVHgRKeRaBNhwuX1YXf7GJ4Se9b2AtasUVtzzpvH556OJEU0rYWQauvpp5+u8fdipWMhZPx+uOMOeOMN+MMf4B//qFXyvWprKV63hK1QojBXR6vWMpGxCloN+BUIt/i5bEikSL6FkAhaAu50Ounbt+IfPe056rKEhlebso261lYHJYFLSIC77lIT8G+/VVtJgZqIT50KJtNZD5nSJ5G/rzpIocODR/Zj0GmIDTfw0JTu9YuF4JbyVE7oDVoJjSSh12mJrTRqXdfnrOkqwK2XdAwk/hajlmKXDECfZHXiZ3VlGw3RcrFM5ZMRt+xHQSHSrMPh9uGR/ZxpSFIhxsr72cpiYnQ3I1k2V2DC6s6TNixGrVomApj0WhRFYefJqvua17RqZtn71TrKjMPtQ6/V4PMr6DTQqVU41w/vUOFx+7NsrN55kpSP3qbXkV3wt7/RedRgktccanILIdVW7969AdixYwfp6elcdtllAKxatYrOnTuHMjThQubzqSsyv/OOOrfo6afPmXzvzLKxYbsLV6kGSSLQbrAgW4fH5cdgguhWPiYOCaddVNP/bAotU9AS8JiYGDIyMgL9YletWkV8fHywNi+cp9qUbYSiNV2A0aj2b501C7ZtU8tTXnkFrrgC5s5VE/VyylrMKWdStvIt5xozsTyX8iUjf/5yHwV2N3a3TJeE8ECP6vN5fWu6ClA+8Y806yl2yXRPtBAbbgwsVjOkY3Sj9gGvfDKi1UqM7BxHkVNG9rlwy35aRRiQ/f5AjFcNacuqPTnnTGQVlLNKQyR+OzYqq+q1O5HvILvEHbgy8YdJanJf03G0P8vGsv/+j8uXvYo7IZFP5j9L3mkdqVm2Zr2K5hVXXAHARx99xIcffojuTFeJq6++muuuuy6UoQkXKllW5xF9+KHa8eSJJ86ZfG88XsDPu2RkrwaNBIX5ot2g0DQFLQH/85//zBNPPMHRo0cZNWoUbdu25fnnnw/W5oXzVJuyjVC1pqtAktQSlKFDISNDXVDh6qvh4ovVxX369GHVnhzaxYbRJ/m3ZMjm9J5VM1zXxLKhEveyKwuFdg+xYXpcXh/bT1gZ1CGa2HDjeb2+50rwyo/kV96vssS2sU+2yrZbNqEyu9hN7zaRDE+Jq7B0fJRZX6H0p6b93J9lQytJHM0vJcygpZXFgE6rwe72MayacpHyr51blvn5eBGnrC7aRpvpHB9W4Zipti2konDojQ+5/r/vsXfWtaRfMgmzJBF15ji8f2K3Rq2xbwg2mw273U50dDQApaWl2GwNu1qqIJzF61Un8C9bpnY8efjhGu++M8vGr5ml5J3S4XVr0BvB64HCHB1xibLablAHkkYhPNLPqM41lJUJQiMIWgLerl073nnnHUpLS/H7/ZjNZr7++muSk5OD9RTCeajNiFxDt6arc4Lbvj37r08lrdt4YtJWMfDmeyi1RJHZZSSn+l9M5zbRgVHkqmuGa59Y1qe14bn2qyymWIshsAojQHqug55J2vN6fetbr17+ZCuvxEV6noMSpxckGuyKQfnXuKoJlSnxlrNe75r2s2x7nePDKXF5cbh9nCxykhhppH1cGDdUKhepvM33fzzB/9ILcXt9JEebMBu07MywMahDNFFmfZXHzP4sG2nbjtLzPy8TffwYn6U+hr7bb0l6+RPWxu5MFGypqalcccUVDBs2DEVR2LZtG/PmzQt1WMKFxO2Gq66CFSvUjif331/j3dOO5LHnoA/Zo8PrAUkDoODzQ0KyTN5pHRHRfgxGhchYhZH9TKLuWwg5SSlb9uw82e12PvjgA3Jychg/fjwjRozggw8+4O2336Z79+78+9//DlasdZKZmcn48eNJS0ujbdumf/m3IZ0rUSyfIJ2rf/L5PHddt13+MW5Z5qf0Avof3cXE3euIteaxqd9YHNNmEJEYz/F8O1nFbnKKXWhRKHH78PgUwo1aLmoTSYTZwPNz+1Ub36IqanbLfq5pcZza7NeCZbvU1ULtbnZkWDHqNBi0EoWlXjrGhZMYaaz/aouVYirfqvC0zUWHuPAK8YXpNeh1WjyyLxCToihIklRlIhwMlV/jfLuLPaeK8fj8TOrVus77Xn57+XYX6bkO8u1u4ixG/jKz1zm3Vfb4n44VYjFqKfX4yCtx41MUUlqFE2nW8+ZNv/W83p9lY+XS75j12b/JuWgQL/a5DKtPw7CU2EBbxNocM82B3+/nl19+oV27duzatQuAfv36NUo5ofjOFgBwudRVlL/5Ru14co6FrLacLGLzDhmvR+1SWDanpNgqYQ5TMJoVNBoJvw90eoXB/bSM7tj0V2gWWr56j4A/+OCDREVF0b9/fz799FNee+01FEXhlVdeoWfPnsGIUainc43IBbsLSHnnMzJd/jFbjhZjCTOQ3mcIB3sNpnX2CcbuSKP/X+dxvP9wfm47hNaD+pJf7ORkkQtJgkiTDo/Xz/+OFDCqS6sa46tL+U35BDejsJSkSGON+5UcbeZ4vp3sYjcur0yJS0EjSUSb9fgVBYNOG2gl+PdVB2kTZcJdKSGvfPLULTG8Qp/r8vcrP5K/8VAedpd8Zmn2315/z5mOH0fz7Bi1ai2lx6cwqEMUeq32rPelts9fl9e4qgmVtVEWy/JfTgX6dsdHmGhlMeFXFLJsrlods2XxWEw6ihxuCh1etBp1CfZil0yxS+br3ac4lOPgdKGdzl8tY+au79l9491k9htGD7uLH48Usvd0MaO7GZtVnfe5aDQannrqKZYvX86ECRNCHY5woSktVecErV0Lr78Oqak13j3tSB6/7AGfV02+Qe31HRnjR6ORcDklDAaQfaA3IJJvoUmpdwKemZkZGOWeO3cul1xyCevXr8doNNY7OKHxNNRl8/OpLy//mGKXlwijepja3T4SBvfly/YpfJyTx/T0LTyy7i20u2L5T2J/8pP74TWaccl+wg06JCQyi2qus65t+U3lBPeXDCu2Ug8Wk+6scpgy3RLD+XxHJloJPD4/Do8PRYH2MWY6xIVXSIoP59jZe9pGbLjhTD9rG0M7RfPFziy8Pj9x4QbyS1x8viMzsIpk+XKZyic6Hp8fi1FLep6D+AiTWm6SayenxM0lneMocXkx6DREmQ30SY4MJLHl469qZc3Pd2QysH007ePCa12uE4wSp/KxJEYYKXbJ7MiwMrB9NPERpjptryyeLvHhfJdrD0zj1J1Z0KN1pJGX0o4wxeLid5+8SrpT4k//9zBdO6fQCvUEYlhKDLtOFpNlczXLOu+aDB8+nO+++45JkyYFJtUHy8aNG1m4cCF+v5+5c+eSeo4ES7iA2O0wYwZs2KCuE/G731V7V6vLS1p6PsfTtXg9EjodKH4oLpZAUZeaT2zrw+fVIMtgNCqMGWRkQAv5jAotQ70T8LKZ8qC2HWzdurVIvoWA80m+yj8m0qROXgSwmHTER5jURVM6tyK9V0cc191I8oFd9P70M67cvJz/dRrAqm4XU9yxK+1jTRS75Rrjq23XisoJbqzFQLHTS3quI5CAV96vQzkOUlqFsed0CX5FIcygxaTT8mtWMe3iwgLb+vWUDbvbiyRJgX7WB7KL2X6ikNZRZuLCDbhlP0fyHESa1VUkO8Vb8Pp8HM2z88Cnu5CQ6NcuElC3GWnS4/TI2F0yeSUudmRYAUiMMKLXaTFotXRPtNCx1W9dACrHf9YqliVnVrEsdtOxlaXWdfbB6AxSPpauiRa2n1D3Jz3XjkGnrdP2yuKJMuvVdoguGZfXT4fYMPq2iyI9q5jRP69h9r61/DB+Di/H9cfu9pF5MI9Lu8fTymLCqNMxsVdisy85qcrHH3/Mf/7zH3Q6HQaDIVCitGPHjnpt1+fz8dRTT/Gf//yHxMRE/u///o9x48bRpUuXIEUuNFvFxXDZZbBli7pi8rXXVnvXnVk2tu5zUurQ4XGDRgKnEyKi/OjsWmQ/REQpuEs1KApERipMvzhCtBsUmpx6J+AHDhxg4MCBgHoJ1+12M3DgwKB9aQvN2/kkX+UfkxIfxtajRUhAz6SIKlvVZfUeyLKZ8YQXFTDm0FYeX/8OSmQUG3sO5+CAkTXGV9vym8oj+V3iw9lxwkq+3Y1fUarcr1NWJ06vn7Yx5sAETEVRsDq97M8qITFS/YOQZXOhKAqyX+FovgODToPTLVPq8RFp0iFJEia9Fo/sJ7fYRaHDi9MjU+L0EmnWgwJ6ncTWo0UM7yzRymKiS0I4Px4pJMKkY1emlfwSNx6fH31sGF6fj26JFg7m2IkJN1b7vlTeZ7tLJsKopdjlDdwWYdKxL8vGojWHqi1LCUaJU/lYWllMDOoQzeEcdUR/eKXuKedSPh6TXotBo0Gv0+DwyPy6bT/XrXqXcI2f13/3GNuVSML9ftyyH7tL7ZzSo3UExS6ZNlEmFizbFfKWl8G2c+fOBtnu7t276dChA+3atQNg2rRppKWliQT8Qme1qqsib9+utqGdO7fKu520Odl81ErWKQ0etxYUdRV6W5HajFRRNCR18uJxa/G61ErwDskaJlwULSZcCk1SvRPw/fv3ByOO8yIuZ9ZfTRM0g9Ge73ySr4qPkRmeEouCWqtcXau6i9pE8j+nl0/6TmLL6Ol0OXGAQbs2cfveVZC1FmbOVFsaVrE4VG3KbyqP5MdHmOiWaCG7xF1tGUJytJlfMqzEhv/25e+W/SRHmSgqVU8k1MVpfLg8PiJMegxaDT6fgt0to5Ek3LIfv6KQbXPh8MgoCrSy6MgtduH2Keh1GmLCjXSJD2fr0UL2nFLrkvVaLZ1ahWPQSmw8nE+4QUv7WDMajcT2E1YGtI+ibYyZKLM+MGnTrNcE+mF3Swwno7CUnRlFtLIY6ZIQjsWko7jS1YyMAgcnC5wkR4fV2EWmviVOlV//VhYTeq2W4WcmPu4/x0lAZWXxdEsM57lvD6Lz+ei/cyNXbVnB533G8cPQSbiLNbSyKMSGq1f0Sj0+fH5Iz3PQOtIUlIWVmiqbzcaJEydwu92B24YMGVLDI84tJyeH1q1bB35OTExk9+7d9dqm0MwVFsLEifDrr+rKyLNmVXm3tCN57D3sQ3brkL3qwpgaLcge8Lol9EYFvR6KC3QoCoRZ/Fw+IlKMegtNWtDaEDY2cTmz/mpqwQd176tdXcJ+PslXTY8pn2yF6TV4ZB8RZgOjurQis8hJsVvmcEofPIOHcMDn5uIjOxj14stEP/20eplz5kzoUHWruupUNZKv1Wpq7LoxpU8i3+3JptglE3lmFUi37Kd7ogWv7GdfVjE5xS5k2Y9OK6HXls3fVydrGrUSxU4vRaVePLIPnQQy4PT40GkldBqJQoeXIR3VbhxDOsWwK9P22wnB5G6s2pPDaZsLIDAKD7DvdAljuycEktey99qvyKzak8Ubm5zEWwxIqB0+fj5eRFKkkSy3urhP2aj/wRw73RItNU5GrY1znezVdCWlqlr1+z/Opl2cmV5JUTUm44dyHIyxeOn/wb8Jt9v45+z7yY5vi9vjQ/b7KXZ6Mem1aDUaxnaPJTbcyNr9aj/6kCxc1QiWLVvGe++9R3Z2Nj169GDXrl3079+f9957L9ShCS1JXh5MmAAHD8Ly5ep3czkH8uxsO1aCooH80xq8HvX7S6tRF8fMz5KIbqUQZvHj90nIXvDJEmEWhYmDxQqXQtPXbBNwcTmz/mrqUFL2c22TjPr0066Lys9TVfu/ii0CI9geM451vUdxdweJLlvXqzPrExNh0iT1X6XVNis/X1liaNZr8Mo+smxyjSP5+7NsLP3xBDtPWilxe3G4ZewuHW2izXSMC6PYpY5u90qKZFinWJbvzKSgxI3Xp+BTQCtJxITrkSQNOq2EQSdR6lHQaDTEm7TYPX5KXDJGnYaYcEOgFZ5Jr2NSr9YV6pLf+uE4PZMi+OXM8uxGnQYUhSKnzJQ+icBvx0GOzclPx4vUenTUmvBIsx6tRsLtVSiVFR6e2r1CF5Ros44jeXY2Hy0AICnKRO82kdjdcq2voNTm2KnpSsqiNYcCx2peiYtDuXaQwHbmKkP5bVWIKdKIZflnzN7yNR91HcXXfSfgRMLgVzDpJBR0lLi8tNdrAxNVbU4vEhIRpopfnY2+cFUDeu+99/jss8+48sorWbp0KUeOHGHRokX13m5iYiLZ2dmBn3NyckhMTKz3doVmKDsbxo+HY8dg5Up1FLycLSeL2H7QhezW4PNp1BaDftDpQaNRkEslFL8Ga76fdl18eN0afD6IiPQxbYgY+RaaB02oAzhfVV3OzMnJOet+aWlpAMiyTGpqKt988w0ALpeL1NRUVq9eDaj9zFNTU1m3bh0AVquV1NRUNm7cCEB+fj6pqals3rwZgOzsbFJTU9m6dSugdoNJTU1l+/btABw/fpzU1NRAL9309HRSU1PZu3cvAAcPHiQ1NZWDBw8CsHfvXlJTU0lPTwdg165dpKamcvz4cQC2b99OamoqmZmZAGzdupXU1NTAH7TNmzeTmppKfn4+oJbnpKamYrVaAVi3bh2pqanY7XYAVq9ezVev/gWzRp3geGznD6xZ8lfC9Wq97c+b1vDT0ucCr2P6T+vY9sHfA0nGsmXLmD9/fuD3i19/h0MrXibKrEcjSZza9h2HV74WSObfeecdHnnkkcD933zzTZ544onAz6+99hp/+ctfAj+//PLLLFy48LftL17M3/72t0CyeHjtR+z4amkg8Xpq4XMsXrwYUBPKE2lLObrhvxQ63OzPKmbLZ69xx1vL2H/l7+Cbb3hNp2P7smXqapupqbx/xRV8+Morged78MEHef6VN1iy8Rg2p5fDK14hc3sapV4/t17SkWMrX2bPD6sD97/rrrv44osv2J9l4++rDpL2xtN4j24jLtxAmF7Cu+F15BM76NjKQmKYxMmVL1J0+Gc0kkRimETE9nfQZKvHhs9lx7/pDQx5B8gtceMusRH+09voCw5T7PZh9BYTtf0/KHnp5Ba7WbV1LytfeZITh/YwpU9ihWMvOdpM3qkMbGte4dSxQxzNd1Ccm4Fxy5ucOJrOojWH+G/aFr57/Sk279yHBOisJzH/9DalhdkYtBo0hccwbHmTeI2DaX2TGRFZRPGaVxiSKJFtc5F5cBf8sATJVcLJQicbNmxi+/vP8cqq3dicXuSTv7LylSe5970tXP36Zi576GXGzrqGf3z9K/uzbPx76X/Z++nzRBgkNJJE/r7N7P30+cCx88UXX3DXXXfRMymK+yd2YxiH+HXZIlbtyWHBsl0s/++nbPnwn+pxmufAc2A9pT+8S4lbVpPy7d/x+GOPBRL9bd99RumyRVz694dJ/mUrT/QazDKvDaciYdBKeHZ/g+vn/9I1IZzkmDCUX7/m6NoPA/MPTAe+ZsuKdwPv/U8r/sPWL5cGJrAuXLiQl19+OfD7v/zlL7z22muBn5944gnefPPNwM+PPPII77zzToVjb+nSpYSKwWAITKT3eDx07tyZY8eO1Xu7F110EcePH+fkyZN4PB6+/vprxo0bV+/tCs3MqVMwZgycOKH2+q6UfG88XsDmnV6cJTpcDg2yR60cVOu8FdAoyB6JyDgfCW0UnHY1jel7kcIdExJF8i00G812BFyou1KPj1e+TyfPJeHNyEIjgd0tE1uuaU1ZJwxXmIE8f8U1mnx+pdruJTanN9DGrYxOK51zVLBsRPKHfTlo3Tb2Z9lqHDGvrq1hkcPN9hNFLFi2i32ni9H7FZxeme0n1MVmjDoNTo8vMBp6KjkZ3YgRDLrxRtiyheSHH6bnSy+pl0MnT0bv8XAwu4TkdmeuAkhg1msCKyVWZ9WeHAodHrQaCb1Og9mgo5XFSL5Gom1MGPdP7Mb9H/6ETvNbe7eUVmFkAF5ZoWOUCXuJmyKfH4/sp1W4gbxSkCSQfWo9uN0tE6aAXithMmrJLXZj9PgY3CEagHc3H+dInoNPtp2kQ9fuHMguQVGgTZQJj8VIiUPBotfw3+2nSO7YmTC9hjyvj1KvjNbtDXwpaDVQ4vbi9/jQ+BUSIyt2N1p/MB+DTovmTKs6nVaDXyOpXWtkP5FnTo5OuryUenwYvTL7s0vQF7vxO72s3pvNgTwXVmtphdcDQKep+tjZn2VjxS+nOHS6mIKDufRqE4FOI2Et9ZJX4sLuktFpJDyKQuSZiVey30+2zc0Dn+4iTPEx5ZetDNu/kxO3PcTarhez95tP0Wo8FLtl/C4Fk8+PSZLIKfYwb3xnPj6hxWZ3B+YfvH8wkl9PFQdq+D2yHxkpcEWhuWvdujXFxcVMmDCBm2++mcjISNq0aVPv7ep0Ov70pz9x22234fP5mDNnDl27dg1CxEKzkZEB48ZBbi589x2MrDhJ/puDORw4CLJH/VuioH73SRoFjV7B61RHwxPay7hLtcheMJgUBvYR/b2F5qfeK2GGys6dO3n55Zd56623AHj99dcBuP322wGxqlplVa3ceKLAgUaSaBcbdtZqjsBZ969pBcvzWVHyfFbJrOp5jufbOZht5+LOcUSYdGw8lEeJSybMoEWrUTuIuLw+jHotvZIiq4/J6YSNG9U/DNu38310JwouHs3piwbjM6pJf9mCL9Wtrrlg2S72nrIRcaZ7CZQt8OKlT3I0z8/tV+U+rPo1C6vTG2hvaDHqMOm1ZFmdeHwKOo1EiduLVpJwyX6MOg2d4y2EGbTY3T6GdorFI/vIKXaTb3fjln0YdVryS1xoNRpKz7RyTIo0kRIfTlaxm15JkaTnFLPtRBFu+bevAYNWQlEUIkx6tW95XFiVq2SW7atGgiKnF4/sx6DVYNBJKEjM7NcGjSTx49EC3F4fp61OCh0eTHotPr+CViMRHaYnNszAoI6x5zx2yo6Xo3n2M0veqZNUU1qFcSDbToRJh1Gnodiltp4cdOaEpKwbTJuMw1y/5j1youI5cNOdmNsm41cUPvopA79f7ULjVxQkQK/V0K11BB+nDq/yfQ7GBOXm4KeffqKkpIRRo0ZhMBga9LnEd3YLd+yYmnwXFanfscOGBX615WQR6bkucjLVSZZaLaCAT4aCXImEZD/OUglLpB+DGdwOteQkOhqmDLKIUW+hWWq2I+DlL2cmJiby9ddf88ILL4Q6rCarqnrvDnHheGRfoBNG5brmunQvqU27wcpJS16Jq86rZFZ+nowCBz+kF2DWa9ifVUyXhHB6t4lk69FCTlmddIkPx+X14Zb99G4TWXOtrtkMkyer/4qLKV78Ae1/WMvFH73G6V4DyBg4gv2d+5IcHV7t65wcbeZwTglu2R+Y9OiW/Rh12sDVg6peK6fs59Ie8SRGmvnyl1OUuGQKHB5KXF7aRptwev3gVmuPDbIfnUZDuFGHy+vDYtIRYdLx1e7cQH1ypEmPzeklu9hNuFGLxajH6fVx2uaibYyJnGIXMWYdPx0vQpJAK4HvTA7u9ytYTDo0koRHUV+3G4Z3OKuGOqOwNLCiZ7uYMIBAz3ajXkuJSy0BsbtkLEa1V7dPURceUpDw+vzYHAooCjan95zHzp+/3EeB3Y3N6aV1pJFwg/r1VeDwBhbGiY/QU+xSJ4rGhhvZeCiPcJeDu35ZTeLOLXx+6dXs6j4Yk0fHxahXfAw6DZEm/VknAP4ahiYaauGqUCorVyuvWzf1BKi0tLTBE3ChBTt8WE2+S0shLQ0GDQLUBXXWpueTkwVupw6vW63z9vsVTOF+FJ8Eip7cU9Cxh4yrVEupDcxhfiYMDqdHvOUcTywITVezTcDF5cy6qa50I8smVztCXZck41ztBquaaPdDegEjOlcc+TzXZLbyz7Mvy8bJAidmvZakKCMur4/tJ6wM6hDNkE4xrN2fS1GpTKzFQO82kcRHqM9bVRlNWWK5L8uGzal2LUnsM5LT7QbR3eij54Gf6fD9N/R/5yWiJ10KxhlqW8NKScmUPonszrSSUVAKioKCuoJnp1bhgRKFql6rS7rEYdBpyStxUeySkVAXmNBqJApKZeItBmLDjch+hfwSNxqJCicWJS6ZkjO9qcsSf7tbRqtRn9+s12HWa3G4ZdYdzMOs1/JDej7KmQRaKylnWh6ql3x9fnVFyHnjOzOtb3KF99Dn85Nd7CLL5iKvxIWEmnCro98aureOZPbANqzdnweAxail2CXj8amjy7IfFNT/d/v82D2+Wh07hXYPsWFqQp9Z5KJdrIRZr/YlL78wTuAkoaiUfrv/x/U/rSBn8AhWPLKIn/Jl/F4fmVYn+XY3eq2GuHADXllRr5LoNLjVAIk0Nduvx/Mye/ZsJEm9+pGVlUVkZCQAxcXFJCUlBebHCEKd7N+vTrj0emHdOuinXj08kGdn074SSmw6/LLaWtDvV8tN7FYJr0dDXJKPrv3dlBTpcNi0GE1w6RCDWNFSaBGa9V+YMWPGMGbMmFCH0SwEYznwc6kpYa9qBD4mTF9hQZraxlT2PI9+vpvcYjf5Dh8ZhU7iI4wYdRrScx30TIpkcq9ESr3+QIlL+UV8yiubOHna6iTL5kKv1RBh1BKmV+ubi03hbLpoNMmjJnNZsgHXDxv49blXMGcsIH/AUFrPmU7HKWPBZKJnUhQPTeke6IIiITE8JZbrz4wgV/dalcWw73QxHq8Pj1/BoJVoE2Uip9hDXomHKX0SKXX7cHt9OM+MNPdvFxVYCTLCpKN8JbVb9qt/1BTIK3GrtZSAJEnEhunJKHLh84Mk+5F9Cv4zj5P9atnJ83P7Vohx1Z4cfD4/h3LtGHUaosw6Ch0SXllBUcDrVwjTSswe2IZpfZNJibewak8OkWb9mc4vaixlMUqS+lw+n79Wx06sxYDb6yM+wkim1UlusYvESBMGrabC+9ozKYqezgJ47lX2H81hzW0P4+neg0gghWI2HylEkiAu3IBZr2HP6RJ0GtBqNZh0GlpFmOgQG0anC2x0rSzBfvzxx5k4cWLgu3XDhg2ByeyCUCd79qjJtyTB+vXQuzegTrT8+VcZxafDV7ZYsQSnj2lp311GbwDFL2HLU/t66w0waqiOi9vFhGxXBCHYmnUCLtReMJYDr4+qRuB7tYngf+mFgeSxLjHtz7LxQ3oBMWYdiRFGTlldZFqdtIk0YndXrGU/VxnN0h9PkFFQit3txaTTIElgdckcyXcw5ExtctlVgv1ZNl6I6kfUHYNJcNlI+Ol/KC+9QcJzTxE2eCCMGIE+pTfxFhO920TVqT5YI0nqapU6CT0a/IqCX4EOsWZKvT5kP1hMOkZ0jiPX7sbmlMm3e+jdxsyQjtEczinhaH4pYQYtrSwGdXJguTKKshITs1bBaNCpI9NOdWQaqJC8hxt+6xleNqK8/JdTeGU/4UYtJr2ezCJ1aXqvTqFNtJlwo45Cu4d3f8wgJd5SIanen2Xjilc245L9gdF9jSShoKCvYnGk8sqOnS7x4ezIUCfVtok0ctrmxuqUGdUl7rcTHKcT3nwTVqxQ202OnEj6DyeIOnOMnbK6iAs3MCwlFoAdGVYiz5ychRk02JwyHtlJcamXyS1kUmVd7dq1i6effjrw85gxY3j++edDGJHQLP3yi9rn22hUR767d8fq8pKWns+Joxo8Lg0aDSCp3we5pyXCIiDjoI6egzy4nVp8sig3EVoukYBfIIKxHHh9VDUCb9TpGNUlrtoa9Jqs2pNDTJi6LYtJR9sYidwSF1k2N11bR5zVQ7omO09a1RpllxeDVk3AFfzkFLvOKokpP5LvNrfi5ORZ7Bl9GdvxcE+EldzV3+P65+vMlD0UduvN8Q49+HxvV2bPHU3P5OpHb1btURd3KXHLuL2+wMRRk15LzzMTR8tOoqLMenq0jgycsHRLDGft/jw6x4dT4vLicPs4WeTE6VGHliTUJZv9Z4a43T7weH2EGbTYnHIghrJc3aSTOF7g4P0fT3D98A6B50yMMHIgu+TMyLpCocODOoXbz4kCP53jLcSE6Siwu6vs4x1nMZBX7MJ3psxFq5HQazREl1sptCplx058hImB7aNJz3PgcPvo1jqi4kJIGzbAP/4BAwbAJ59AXBw9gdTRmsBx7/H5GdIphvgIEz8eLcCo0xB5ppNJsUvG61MnuHZvbWHt/rzAicSFJCEhgVdffZWZM2cCsHLlShJq6JUvCGf5+Wd1jQWLBdat42R8Mpu3Z2O1KzisOrxeNemWNJB3WqJDNxkJAwp+2ndTcBRr0RmgR28fM3q0PvfzCUIzJBLwC0goJ45VNwJ/vgv1nLI66dUmgp0Z6gIzYQYtrSNNWJ1yjatTVkVCQkFdpEb2Kei0UiAbrVwSU10t/XGbDDMv5QM5GdvwqzDm58COnSTv3cf41V9ieGshTBql1j/27Ak9ekBExFnbLRvlBbUbSf6ZSYdXDWlb7cJJ7/6YQa+kSLw+dTl7h8eHViMBEhEGiVKvH0VR/+ChznmkxC2TFGXGWurFeabmGdTWhrHhBkpcXr76NYvNRwuINOnpkxxJ10QLR/IceGQfp21q4q4oCn5FwuvzBbrqKIrC+oO5bDqcx+ReiVw/XF11VK+R0Ou06FDw+RT8fj9+jQZFUVi05lC1VwrKHztxFmOg5CZw7Jw4AS+8oPYX/vOfodKS6eWP+0c/383e08Xsziwmt8RFYoTaWlGRoG2MGaNOg93to2MrCzanNzAh+ELpegLwwgsv8PLLL3PPPfcAMHjwYDHBXai9H3+EKVMgLg7WreNAeCvSthTj9Ur4ZHVUW6sF2Ytak4aWE4d0dO2n1nr7vKA3+bm4n4GL28WHem8EocGIBFxoFMEegS8bFR3UIZr0XAfFZ0avR3WJq/M2B7SL4sejhViMOvLtbmS/hM+vkBBhxOb0MqRjNIvWHAp0/vCc6TySnufA7pLRayV6t1EnrJ2yOtFrYUuxDmOPYRj7DMfl9aHk5fNKT4X2p46qI7WHD0NsLHTvDp07c7HVSGZMaxLatQuM8hbaPcRZjIFE860fjleZ/OcUu+gcH8bODBtGnYaUVmrnl4M5dhRJIiZMTcrdXn+gzttaqpbbKKiJsV9RWx1KZ1r7eXwKFp2GEpdMhFEXmNw6rFMM6w7kIvsVtJI6ml6m1C3jV9RcXqeR8Cnw2Y5MVu3NoXWUiQ5xaqcUp9ePW/ZR6vYhSRIXp8TVuHJqtcfO/7N33+FRlNsDx78zW9M7IfReBBGQJlWalBBABMXe7g+9Ym+Xa+/9ioL9KmK9VhSlCliwYkMQAamhpvfdbJ2Z3x+TrAkkNCGbwPk8j4/Jlpkzk2X2zDtnzhtjgZkzYcECuPRSNgwezZI/C9nz/poak+QNWSXklPooq+jKYlFgV6GHxGg7zope8b6gTnTFzZeVVz/qapbX+iI+Pp477rgj3GGIhmjlSkhPh7Q0WLGCH4jmh1VufF41VOKmquaNlpoOnhKVpLQgVotCUa4Vqw26dTMY1f7ELP8SJxZJwEWdOZoj8FXLMfq0TgyNqFeOth6OC05rSXZF/+xYpxW3X8NmUenVKoEB7ZJYviEvlHwFgho/bCvAZrGQFGXDqpqj5DmlPjZkldA0PoIv/8xF03XyXQF8QR2LohAbn8CHyU244dxJ5kp1HTIzYdMm2LaNoVvXsPfX9cSXFeFu3JS8lCbsSWzCacN60rI0EeJs+5Xx5JV5+WNvKW5fkKUVkwOpqoLdqhJtt9I41kFWsRfFMPuXg1mOYlXBrxnsLfaSEmPH7dMo82nouoHNYuDyGdgtKo1jHeSU+fAGdEo8AZb+kUPblGii7FZcviAGYFGMUG25Xwebag5qBbXKuy1VXL4AOws0NC2SzmmxFJQH+DO7FJvV/Erell9Ou5So0CRHNX1Gqn12dB0++QSefx4GDYL332eDz3LQJLmyzKdxnIMtuW4i7BZ8moHDohIXaQv1D688maq8+lHblYcDtctsyLZv386cOXPYs2cPweBfJUqvv/56GKMS9d7nn0NGBrRoAStWsNRtZcOffvxeFUMHi9U8Ofd4wBkBuqYQm6ijqgpaEKw2g17dZEIdceKQBFw0SEdzRL1zWhw3j+pQY4nBzGWbqiVfrZKj2ZhdRlG5H79u9ts+uVkcNouFJetyGN01lXd+2okvoGO3KqiY3UgCmsEfe0v+WqmqQps20KYNC9fu4TVLD3a1KscR9NNTL2aQ1cXpRhGNf/4GPvof7NrF/1kdrFNj8TZuQn5CKlmBSBLiG5HUvAlfZZuT9MQ6rfgDOtleL6e1SSS2YqTeHzRHrCMdVmwWFW8giMevU1QeJMZppdyvETQgoIPNAikxdqwWlbiKUWDN0NE0g625Lkq9QRxWhSiH1UxaDQOfZt4wGtDNnuI6lcm4QVAz0HRz1LugPEC7lCj+zC7DabOYo84BjV93FtO9eRwuX3C/v0/V8o8euVsZt+Id4hJi4KmnzHIe4I15a9mW5yKgmT3Ma0roK8t8VMVGcrR5JSGn1MOa3SVmAu4J0iE1mqRoR7WOObVdeTjYLK8N1XXXXcfUqVOZMmUK6j6z2wpRo6VLYeJEaNcOli9naanCH+sVggHFTLz9oFoMAgFzlkuvAYmpmjmbZRAcETqDezqlvaA4oUgCLhqcfetxLx/Y6m+PRNY2Ol9TzbeqmHXSZ5z0181BumGwp9hD57Q4UqIdZJd40Q2wW1UaxdoJ6uYMmpWlLJVJ/rY8F48s/pMoh5Vm8U7KfDZ+8jkYPmYwjSv6b5sr0InOzyd19QZ+//4P8n7/k34lf9LWV4Tt4yyuCuhkRyeSG5OEK7ERpYkpuIsb0bdHJ352RrMqx4OiKDis5qXg4nKzHMUX1Am4/egGOCwQ6bBhUxXyywLohoJVrWhdiILVomJRFVQFfJpBpGHeSKnp5ki4uR+qhGwAmIm/qlBR3mMWodtUhaBukBTtCPUt35BVxukdq9/sV1n+0bZgF+cvfZeI7L38b/gUhlx9Lp2bxIdeU9kRJ9phqTGh35BVws7Ccn7bWUxitJ12KVGkxDhx2qz0aB5PSoz5N84u81Ee0OjSJC50QlcXLTzrE6vVynnnnRfuMERDsWABnHUWnHQSLFvG0iKddesVtIA5zgDmNPIWC5QUWIiM03FGgNdtwTCgcZrO+J6JxDsPfDO2EMcbScBFg1LX9bg1JV926/6jglUTsrR4JwFN/2uEN6hT5g3g08xSjqpxb8opI8phrVLeYC77te93hibAAcxvskaNaD2qEa1HDeHm99dQHudkh6Kw7I9son0u9N17SCor5GRcNC/MIWrbOs7YsozR23eRF1QpjEsmPzaJTZYYdkcmkhOVSE5MEnnRCSg2G7ph3oQZ7bDi1wLYLApF5QHsVhVFUUiLcxLlsLI936DI7cflD5o9wDFwVkzEU+oNAAoqhjmpRkW3k7gIK9FOG76gTk6Zj9RYB0XlAXJLfQR1DxZFwWJRQ5MVVfp+2c9M+vQdmm/fyLoxk9l65QiKArDkj9xQAl61I46iKKGE/pcdRSREOfi/139iV4GHxrF2SlQo9QT4dUcxHVKjKfMFURUFu9VSrbNM1frxcLfwrGtDhw7lrbfeYuTIkdVmv4yPjw9fUKJ++ugjOOccOOUUSuYvYHl2gB1bK2a0tJqj3gU5Ks5IA2ucTrP2AcqKrPg94HDCoJ4yqY44cUkCLsLqcLtL1HU9bk3JV2KUHVVRau1fflJaHJE2C9mlPkq9AWKdNpw2C/GRduIibOS7vGzJdZPv8rGzoJy4CPPmT7tVJTHSTozDQk6p94D7puqJQXSEDZ81Fm+bKPb6guyMsGG3qHRtEsvkSd3Ys7eYV+b9hHv7LqLyc4jKy6ZNwW7671hDqquQJHcxLkckuTGJaI3TSOnQmr2R8fxSEskfSjSuuCSS4qKIcpiHC4dVRdfBqqpER5klJOV+DafVQt9WiWzPd5Pr8gHmzZiOim23KCptU6Lp0iSOzHwXa3aX4PFrKCjoBlgwePP7HfgDQfru+J3h675iwNqNZA4fxycXX4PmMEepYyxGtfKPfTviOKwq5b4Ae0p8nJQWS1aJFxTILvPTNiWKAneAfJeP7DIf7VOisFktB/w8hbuFZ1376KOPAHjllVdCjymKIpPxiOrefRfOPx/69OHbF95i3SYdd4mVYMC8TcPjgZg4A6sVvF4Fu12lwKNis0PP7jC8rXQ4ESc2xTAM4+Ava3h2797N8OHDWbFiBc2aHZ8jVQ1d1dHsQ21NePP7ayrqeP+aNkY3zPKOJ6accszi3DcRBmpNjmvars835jKgXSKqovDdlgLK/RreQJASr4ZVgYSKpD6oG8Q6rUQ6rHRIjal131RdR1ZxOau2FxHUDVolRdAmORqLRa22HzdklfDm9ztY8Hs2Lm+gYrQbMBSCmkZCeSlNXAW09BdzslJOXFEezvwc4ovyiCsvxRMThzcxheKIGHaqkfhi4gjEJ7JDcVISEYuSlESHzi25/5xT2ZBVwt2frCer2INmmDc5psQ6ibAqeILm9q2umAAnJcaBL2heGUjJ3cPpu9cyZusqiuOS+bH3CPZ070OppoROZqwVXVosFoUzTmrM6K6pLFmXQ4knQEDTQh1xCl1+4iNsjD45jc/WZxPjsOIL6jhsFk5rkxT6zAB1/nkSNZNjdgPy5ptw8cW4evdlwWOvsacoFgwVLWherMv800JCIx27wyClaZDyMjMxtzsq2wvKjJZCyAi4CJsjGc0ORz1ubfXhtcVYdcR0fVYJJZ4gFhV+ySwmz+XD5Qtit6gEdR2bak7HXuIJkBRlR9MNClx+OqfFHHDfVK7jje93sCHbRaMYB3aLgiegs3ZPCSc1juGVbzJpGh9Bh9QoNuW48WkGHRvHsCO/jFKv2T/QUtGCsCAqnpLoePJjHPyqQE6pj0YxdhKj7OzKKyOmpIj2hosW+NDy8+kTq5Piy8VZVkxEaTGO0mIsbxfBi8nEWyK4rNxClm7DcEaQnBCFxaKyq8iD3WFHxaBfSSl2LUCCESCWIE53KVZNY3X7nnz1z9sobtaaEk+AghIPv+8tIcphxaIYZBZ4MDAY0DaJ7Xkubngnm/goG8XuAB1So0MdcT7fmEvPVvEAxDpteAOa2eO7otNJ1c/MoX6eTqRe4Js2bWLLli34/f7QYxMnTgxfQKLeyHr6ORrfcDXZpw5g3q2v4SuOwe81e3urqjnyHREFRbkqrToFcRVZMRRIbqQzqbfUegtRSRJwETa1TWpTU3eJyuTnj70l7C7y0DE1mhZJUYddj7tvElWZnB7tpKpyGTsLy2kaH0lWhJVvtxbg9mnYLaAbOoGgQYzTgmEYlAcMygMaUXYrSVE2Mgs8bMt3Exdhp12jKJKjnfvtm85pcaTEOBnWqVEogdycU8p3Wwv5blshHVKjyS/1MO/X3fRsEU+LpCgCQY2NWaVE2VXKvH/1BrcAFotChN1CbpmPSJuFoA5FniCqzUZhfDKrrY04pX9rNmeXMqfEW63jiN1qIc5h4aRog1fm/0LjgJsofznlpeVofj8xNgWlsUKcQ8VqUdmRolKGlbikOHp0bsbnu8spTkhBV1Qi/VZKK0at810+ejSPJ7vMx7Y8F5F2C7ERVnYXe9F0s9Whrhs0jnPw7dYCfswspEVSFF2bxOCwmoe3do2i+GVHMb6gHpp2vupn5lDqu0+kXuDPPPMMq1atYuvWrQwZMoSVK1dy6qmnSgJ+gludVYLv6Rfo9+gMMnsO5ZNb5uLRIlD0yt7eZvId8CrEJmokpkIwoKBaICFRY1LvJEm+hahCEnARNoc6ml01+emcFkukzcKf2S7KAxonpcUdcj3uvklUZr6Leb/upkfzeFomR4WSqhGdU6ol5QdL0msbGa06wv/NZjcBTcPAnLzGXlH45fJpOGwqETaVjo1jySr2sLfER1KUnQibijeghSbBsVks++2b0MQ/20rJK/OSVeLFbjFnnPQFdbbmuYmNsJJd6qNVcjStkqPp6Qnw265iVEXBaVcIBA0UBRKj7JzWNokFa7OwqlDsCYRG6oOagS+o8+maPZR4ghUTFdnx+WHVtkJaJEVy6+iO3Pz+WrJjUtmmmLXYCZFmB5gdBW46NIrGaTcPOeX+ILsKy1FQaN6iJcXePApcPqwWFVVViKlocZjv8hPltHBaShJl3gAxFXXo2/LdNI03Z67Mc/lwWC2kxDiIdVo5KS2WHQVudhWWQ2IkiVEOOqZG82eOi9iKv0fVz8yh1HefSL3Aly5dyvz585k4cSIPP/ww+fn53HLLLeEOS4TJrhIP320rJvXFVzj9xTvZ2usMPrruZXTViaGbibehg6YbBP0qNodBZLSBoZv3dsTE6ozuESfJtxD7kARchM2hdpfYN/lpnRJNYrSDuAgbN4zscMjr23c52aU+ohxWsst8tE6JJi7CRpHbx+wVW+nXNom0OCfb81zVRpD3Hfk80Mho5Qj/puxSdhSWm50+Kiau8esGFsyJKXwBHc2AdbuL0Q2DxCg7/qCGX9NxWFWK3H4W/Z5NaqyTa4a1rbZNDovC99sKiXFa8QZ0dMPAEzBQFTMxLfMG8AaCKFXec3KzeHYWlhPjtFHmDZBb5kPBvHFq1bZCNN2g1GOWqCjoaLoRmuFyd5GHSLuVuAgrBe4AcREGMU4bTSquZGTmu4lyWLCqCkFNJ6vES5zTPBnYUVhOlMNKYpSdSLuVRjEOCssDZJV46dIklu+2FlTrHAOQGutg/d4yGnWMINZpo8jtp9jjp8wbJLfMS4zDhssbpFzRCOo6+S6F9qnRtEyKwh/UiIuwsafYQ6vkaK48ve1+yfKhlpUcztWahs7hcKCqKlarFZfLRVJSEllZWeEOS9SxYm+Ar7YUsWO3zinvvsiQuffyZ++xfHrDSwQtdqwViXd+lkKjpjrFBSoxCWaLwaBfAQWapBmM6yFlJ0LURBJwcUwdKME51O4SRyv52Xc5pd4AMQ5LqC4YYGuui5wyL6u2FxDrtFHuD5pJesUI8r4jnwcaGa0c4V+zpwQVc4So6h3PGuBQFXyamYyrqoJVMZPPGKetYjZNP7phYFEUOjSKZvmGPNqkRIf2kYHZp9vj1yh0+whWTIhT5AngCWgYhpngl3iC5Lu8JEc7KfMGcdgsdE6L4bddJaTFOSl0m4l6vstHYpQdV8Uc837NCCXvVsXcBrtFIaAbNEuIwGmz0Kd1IlklXpasyyHKYUHTzXaGVotCUNfYXeTFblEBBZc3SKHbj82ioioK/dsmcvnAVixZl4M3oOEP6viDGskxTro0iUU3DL74M48v/8wl3+Ujt9SHzaIQ47Dg8euUejzohkGM04pFVVBQ+GVHMT1axBHQOOAJ2uGUlZxIvcC7du1KaWkpU6ZMYdKkSURGRtKjR49whyXqSLE3wNdbi9mVpeFxWej97iwGv/Mw60+byIKrn0V12FCClV1OdDBs5O6BVp2CeMst+D0QEakzolcUnVKiw705QtRbkoCLY+ZQEpxDmZ7+aCU/VZeT7/JS4gmwp8hDjNNKvsvsiJFZUE6kw0KMw4o3oLGzsJxm8c6K/tamqsl/1RKQnFIPAc3AblVx2ixcPbQtyzfkUeTym5dna+g3FBthjlxHO6wEdPO9voDZN9yvmUkugMNmoXVKNCWeQLWyB79m0K5RFD/vKAaUalPDg9mjWzPAYVXYnOPCZrFQ4gnQo3k8f+wtxWFVcdpsOKwWtue7sFpU7FaVCKuZZAcrenmriplUBzQI6gZlbj/+gA4KNI510Co5mj3FHk5tEc+3WwvNmK0Kbl8QHejdIp7tBW4K3H50vaLkJdJBvsvPY0v+pGVSFC0SI0PTwVdOlLM9z0VERV9vb0AjymHBQMFmUcyTGUPBr5k9xw0gLc6BP6iz5PdsLBaVYU98QaTdSuM4J12axFU7ATycspITqRf4PffcA8C5557LoEGDcLlcdOrUKbxBiWNuY56Ln7aXUVaq4HGraAGV/u88ysAP/8MfQ6aw8IqnKXHbSE0MYmgK5TkWyopV2nT1UV5mxVViwe7Q6d9HupwIcShknmFxzFRNcFRFCf28ZF3OYS1ndNfU0I1zumGEft530pZDXU5mvoufM4twWFQwwKYq/JxZxM/bi7BaVeIibKEJXZxWCzmlfmKdNSf/DovCqm1FFLp9oZsaC11+dM1g+YY8RnROgYok2II5TXsluwrJMU5inDYCmoGjog84mLXhhmHOGukL6rRLiQL2H/lvGh9BdqmPZgkRNEuIQK+yvd6KjD8h0goo5JT5iIuwMW1way48rSVF5QEMw8AwDCyqOdNlu5RIYiNstEuNIdphI9KmYreoOKwqmg5Oq0JZRZKsKGZdyq87i+mQGkXT+AjsVguNYhyU+4MUuM2/V8vECHq1TiIhykF8hJ24SLMEZXCHZHxBnUK3n7gIG+1T/xotW7OrmC//zOXLTXk4LCpdm8bSKNZJh9QY4iOsFHuClHj8lHiD5myemk5ilA3DMNhb7KHUFyTSrlLg8rOzoJwtuS6257l4aeV2NmSZ/cL3FJsnX1XVdmWl8mpNXITNLKup2I/HW/03wMUXXxz6uVmzZnTq1KnaY+L4sqvEw7urs1j6k4vcvRZcJeYo9qA3H2Dgh/9h7dDz+OjyWdhjVKwq5Oy04og0J9WJSzZwl1hBh/atLFwyIlGSbyEOkYyAi2PmaJWOHK2JUCqXc/cn69F0SIl10qlxDAXlZt/oYo+fvq0S2FHoCbWti3Va2FPio3GsA90w9hv5rCwBKa1oNaigoOkKtopE/rstBVgtKkZQQ1HBblHRDANf0MBmVc2Rdr+GyxckIcpmdvlwmjcgxjqtoCj0bBEXmip935H/0V1T+Wj1HpxWhaJyP1VrXBQg0m5FUVRUBSZ2b1qtJGNQuyTW7S2lzBck1mkjJdpBTqm/YlTbSZRdhYptNqwKQc2omErebF/o8eu0TomidZJ5k2qH1Cjm/bqbKIeVNsmR7C7yUuYz68BXbMih3BekZVIkvqA5S2hKjBNfsAilosglOdrJqS3j+W1nMZkF5bRrFE1StB2HTeWXHcUENZ2NRWWhUXKHVUHXzZMbly+IOz9IxTkLqgLZJeZkQDaLSqknQHaZOTFP5Qj34V5ZOZSrNQ2Zz+fD4/FQVFRESUkJlVNEuFwucnIO76RZNAwrMwv4bWOAgPevCXQUDEa8cRe9F73ILyMu4fMrHiJQYqWs2CCtdQC/z2Im3Ri0bKoy4mS5wVKIIyEJuDhmjmbd7NFKfjqnxdEiMZK+rRP3m3xl+YYc0uIjSYp2sCXPjcsbJNJhY0j7mFCJxb7Jv18z6N06geUbcjEMA4dNpUmMsyLJDvLtlkKsFpUYh4E3YOAN6DhtKo1jbQR1iIu0UeoJ0qN5HJ6ATqE7gMNq4b4JHWiTEs1LK7fj8gbZkptPoTuAVVW4ZnjbatszqF0SyzbkoBugqAo2o+KmScOsDfcqGuV+hQ6pUdX2xQWntQyVCPmCQXYXluMNahUT0wAoRNotWK0qmqbjVXR8AR1VgUi7OXvkyU3jSIp2hE6qejQ3S02255UT0A0irCoB3WBnQbnZLcEwcNqtdG0aS77LS6Hbjz9o8MO2glC7RatFpV2jaE7v2IjvtxXgC2gYhk5emS80+g7gC/5Vn64ZYFfAb1T+PUHVjIryGQOXL0h+mZeY1omhWE+kspJD8c477/Daa6+Rm5vLpEmTQgl4dHQ0F1xwQZijE0fb0s25rP1dQdcsVE7Hp6IzYs6/OfWzV/lh1DRWXHg//jKF+EYaqlXBXWLFMKB5Exh1SoIk3kL8DZKAi2OmviY4tZ0Y9GgeH3q8b8WELgebmbNyWW1SovEFNJw2C96K/6/fW0ZCpI1Yp5XdRR4So1QMDBQUIu1WTmuTyIOTulW7UfW0ttVvVB3ROYXZn28loOkkRdlJi3PudyPmBae15OstBaTFWskscOMJ6CiGgaGY9dp2i0Ks07rf+6peWVi2vpDkGAfdmsVRUB7A5Q2SHONA0w16tUpkfVYpvoBGvsuHN6DjsKnERtjYkufGbjXbI+4p9tAyOYqcMrO7TEDT8Ws6hm6gGQZGUKfYA42sFr7bkk9ReRCHVSE+wuzN/XNmkdkessBNQqSNH7YVkBxlY1t+gKJyP/6gVu0mVqg24I/fLEkPPaZXvECr6KiSVexhR76b1hU3hp1oU8wfzMUXX8zFF1/MG2+8wYUXXhjucMQxUOwNsGp7GdllPvKzrPg8Clab+S9G0XVG/fdmun/+Jj9OmM6C9LtxAI2a6Pi8Kn4PxMfD6FOjaR53/N18LERdkwRcHDPhTnBq68BS24nBtMGtAQ4r3splNY5xsCnHhS+oYxgGrZIiWb2rhP5tzZF2ly9IuT+IphnoGHRNjqJ/uyRmLtsUWtflA1vtt65NOW76tUmqdrKw742YndPiGNguiT/2lmKzWrCoKp6AZnYssao0jY8gPtIeqr+vuo7KKwuV5UL7XhX4ZM1eYpxWXN4g0Q4LiVF29hZ78Pg17BaFQpc/dFJVOSV8qTeA2xfAEzATX1VRcFgUvJqCRVWJsFsoLPZjURUibBY6p8VSUB4gq9jD73tKSY1xhnqgb8sP0CY5kuwSL35t3/S7OouCORtoTXe7Aj7N4JsteQQ1nZvfXxP6TBxOK8vj2dq1a0lLSwsl3x9//DFLly6ladOmXH311cTHx4c3QPG3rM4q4bu1XsrdCqpqJeAHLQg2G5QV65z77rV0+fw9vki/kW8m/4tmaRrlbgvlLpXIKBh+aoR0NRHiKJIEXBxT4aqbPVgHlgOdGBxOvFWXVR7QKPUGiYuw0io5miiH1ZwhMsJG/7ZJbMlzU+jykxhtZ1LPJizfkHfQFniHWkc/oF0Sv+4oxmm14AloFcmtSkqME0VRaNco6oCzjO4sLOe3ncUkRttDHUjKvEFSY83/Rzut+AIakXYrydEOynxBCssDJEU7qsX80srtBDUdT0DHMMwOKhYV3AEd3dCJcSic3rERn1XMdFlU7mfNnhLiI+xoukGEXaVXqwS+2JhLiTdAUDPYWegm0ma2MbQqNXeTAbPsxKjo2KLv8xoFwABvQGdPiZfBqTHH9WyWR+Luu+/m1VdfBeCnn37iiSee4M4772TDhg3cddddzJo1K8wRisNV7A3w3bYScksDFOaoeD0qQb+C3Wl2DiopUomK9HD2K9fS5cd5rLroFjZdeiNRpQplxRaio2HoaZJ4C3EsSAIuGpxDmTzlYC3mjuaJQW3LqjwJAEiKdmC3WkIj7YfaAq9pfASZ+S6yS32UegPEOm2htn9V17N8Qx4dG0eTVeJlb7EHly+AYSgUuP00jq35Bs6qMabFOigp91PqCfDrjmI6pEZjsahcfFoLlm/Io3GMg7W7i9nt0whoOmlxTprER3Dr6I77lbTc+v7aKsm3QlA30HSzXltVzMzYoihsyXXh9msoQEKEDbc/iEVR2FngptQbQKt4X0Az8FUk9Fargh40qnV7qWQA3sD+2bnTqqIooOs6ugEBzQh15alpn5+oNE0LjXIvWrSIc845h1GjRjFq1CgmTJgQ3uDEYalMvDP3BikvU8GwEgiArikoqnmz5d7tFpITvYx84J90W/sp3156Bz+MvxaKoWVTRW6uFOIYkwRcNCiHOnlKfZi58EAj7a98k7lffN5AkFXbC9hT7MFR0ed6a66LDdllJEXbSY6yU+IJsLfYwxld/mrBWDWZb5UcTb7Ly5cb83AHNJrGOTGA77cW0jo5inNGVS+3qPreaKeVLblu9hSV8/POIro0iWVTjpsRnVP4dksB3qCORYVYpw2nzVKtXKXqNndMi8UwDHYWlePymQm206oQNMATNNiUXYrbF8TtN7uWWCwKe0q8GAbERdlYs7sEm0VFN3TsVsXsuOIz6799NQx/R9gUfIG/knKrYt6UWdmhRlUgymEN9XKPrtJ68HidzfJI6LpOMBjEarXy/fffc//994ee0zQtjJGJQ1VZ4715R4BytwpY8LoVLFaw2gx8AVBV2LPNQrTTx6SnL6fbhiV8ccl9/JxxJWmpBuN6yM2VQtQFScBFg3I4I8f1YebC2kbH941vc04p320rRMHsF17kCeC0WnDaVBIrOqUomH3DOzSKZlOOm/SKZe17srEl101StB27N4jDbtZvxzitpMY6DjjLaHK0E8OAkvIAAV2nU+NYSjwBlm/II9KmMrpr2gFr0atuWyCokVXqIyHSnFreH9QJ6jo2i8LKzXnYLX91XrBbVFTMEfMClw93RX25UpHgW1VzWmvDAJsKgSrD3woQ7bASaTfj0XXz5sv4CCt+TSdQUTeuKKBVdEXJLzPbIhqYs4QmRtvZkFVywo+Cp6enc8EFF5CQkIDT6aRXr14A7Nixg+hoKUGo71ZnlbDyFx9ej4IWVAkGFewOA0UFnwcsVvD7IS5RJ9rq46IXL6HLpuUsvfwR/si4jJ5dYXjbRuHeDCFOGDIRj2hQDnXylKM1ec+xUjW+3DIP320tRNcMmsQ7yXP5KfeZddw5ZT4axTpplhBBSoyT09ok0TI5ar/JeKq25yv1BlAw+5yf1iaJkSelMrhDSo03Me773jW7S8hz+SjxBFi1vRB/UCMuwsbqXSWHPGnN6K6pqKpKpF01b4oMmKPXXZvEEmWzENAMFMUwWx0aZivHEk+AMq9ZgqJgTiJUmVxruoHFzMFRFIWUaDv2ihmNbBZz0qIybxBVUbCq5usCmvl+p03Fr+kUuQMYmCUsgaDO7iIPuwrLCWgaabGOahP0nKj++c9/MmPGDCZNmsTbb78dOgHSdZ0777wzzNGJ2hR7A8xfl8vy733kZav4vAq6rqBUnLQaOmT+aQXFQFXBk+3l6nfP46TNK1hy5ZNsnXwZY/tHMLxtSrg3RYgTioyAiwblUEe2w92B5WD2bQGoKNA8MYJoh42cUh92q0KZzyyZ8AV1HFY1VEKxs8BNVqkv1MmjQ2oUyzfkAWZSbLeouLxBujT9a1trG/2v2hHGGwiys8CNRVVolhCBL6Dx685iujePw8CckOdQrih0ToujU+Molq7Lwhs0+4Y3jnVS4gnitFtJjnEQZbeglfkp9wUor6gDVxUI6IbZltAbRDMMdF3H7dfMUhXVfI2BeeXDHPE20A2DWKeFcr+GTzMn6Im0WwjqBn5Nx2G1EOWwEF8xw+nOwnKsqvma2IqyndpG80803bt33++x1q1b130g4qAq67y37NTwl6t43ApaQEFxGgQDZocTA4iI1klporP+Jzt9excy/qkLabrhBz6/cRat/nUJo+UGSyHCQhJw0aAcTm/x+j5zYdUWgNEOC76KftUOq0pA0/EGdJrGR+AL6viCOrFOK5n5Ln7dWUyP5vGhGvjKKe835bjZU+yha5NY9pZ4sVstNc7euW8MlScCq7YXEGG3kBBpBxTyXD48fo0vNvrp2cLskQ7mft9Z4ObPHBfNEiKYuWxTtRthF67dw6vf7qgoGTGHrrNLveSWeWkSH8kpTeP4MbMIDCNUhmJgJtgRNgtN4iNwlnnIKfVT4tVQFXDYVII62CwKjWOdWFSF1FgnxeV+8l3+itk0FSyKQaTdim4YuP0aum4Q67Ris6i4fBp+TUc3DJw2Ky2TonD5tNA2SS24aAiqJt6uYhVDNzsEKQp4K/p6azpERBqUFquATvuT/bRuXM7EO6eStvlXsp57meFXXBruTRHihCYJuGhQ6vvI9pFoGh+BP6CxKdcFQEKkjR0FHiwWha5NYyn3aWzKcREXaSOr1EeP5vGhyWQqR6Q35bir9bPet1PMgfZR1RMBm8W8YTO3YhTeqoLbr+HXDMZVJPnrs0rYVeChQ2o0LZOjQjfCVp4EvLVqB25fkAi7Bd3QKffpVJxbkFtRUmNRwB3U0DHr4GwWBd0wKPUGMYo9aJpB41gHAR3c/iCabpAQacUbMMgu8ZIUbadT4xhcPidxpV58AR1F9RPntFJaccJhtZh9xv2aTllZkEi7hUi7FYuiUFQeQMt1oaoKP2wr2K+zjBD1SbE3wC+Zbnbm+ygtA3eJmXiXFVuIjtXx+widzCqKQcBnVpc2bxsk4FPx7ynj3Ienkrx1Lcp779L0rLPCuDVCCJAEXDRA9X1k+3CZo/rldGgUTXapl0K3RnJFghnUoXVKNP8c2pbOaXHc/P6aQ+ruciT7qLK8J8ZhxePX0AwDi6LQOjmC5omRoSR/5rJNNI2PrHYjbKHLx+zPt9KhUTRl3oDZOjCoowJWC1gMszOJL6CRV+qlzBfEpqooioHdUjlxEBjo6LpBUNPJL9doHu+kZVIkJZ4A+S4/ETaFgA4tkiJplRzN6K6pbMtzMXvFVjTNoMxnJutmv3IbWSVevAHd7KQS0HFYzRsxg7pBUXmAxEgruaXe/TrLiKNr8eLFPPPMM2zdupX333+fk08+OdwhNRgb81ws+7Gc4iIFUFFVQol3wAfBoFnj3e7kAFa7QVmJhWZtg2Ao+MpVmlqLmPyfs7Fv2wAffgjjx4d7k4QQSAIuRK0Opd/40VB1VN9us+w3HX1lHK98k8nOwnICQa3aaO3R6u5SWd5THtBokRiBvyKJPrlpXLUkv6YWj9mlXlzeAJtyXSj8NRGODuhBswuJTVWIcVrxaeakPO6gOXulr2pbE8O80TI1zklxeYBSr0ZitEJ8pB2nzQLA6R0bhUb7q/ZAt6iwo7Acf1CjUbSdfHcABQVVMVuvBYM6noCGJ6BjrXhMR6HUG6Rrk5hqnWXE0dWhQwdmz57N3XffHe5QGpTVWSV8vspPUb6K161isUJM3F+Jt6tUxe7USW6ss+V3Gyf386OqCnpQISEBxrQop+mkybBpE8yfD6NHh3uThBAVJAEXogaH2m/8aKlpxHpDVgmzV2zm2y0FqIpCk3gnydF2ft1ZDECLpCjKvEF2FZbjj3VUm179SGKsPBG4+5P1oRk7uzSJJSXG3P7KJL+mG2EL3QF0A3TdwKqqKJidT8BMwjEqZ6g0KPcFsaAQxMBmVVE0A39F15KEKDu9WyXwY2YRfk3D5zMoLvcTF2HDMAyKPcFqnWz27YGeV+ZlxYZc8t0BYiOsNIuPIqfUg8unYa0oc4myW4i0W7BYVJonROKtSMprqwGvqxOx41nbtm3DHUK9t6vEw/d/uigq0/EHFJxRGkW5Vnzl5s2VFisE/fsk3mlB8vZaSUwN0qW3hq4p2O0wuK+dHpTD8DGQmQkLFsCIEeHeRCFEFdKGUIgaVE3sKmdNjIuwsWRdTp2sf0NWCU8s3cR3WwuxqAo2qzlZzY6CctokR5JV6iOrxEsgqKEbBnarpdqJwt9pqdcuJQq/puMLaBjs38KxphaPVtWcMKfMFyDKYSU+0krVaXoUIMJuwR/UKfMG8QQNFANiHDaSox1E2FRsFnM/b8svx6Io2C0qUXYL+S4/+S4fiqIwqF3SfhMuxTit5JV5Wb4hh8/W5+ALagR1nTinlUi7hcQoB6qiEGFT8VX0Iy/36yRG2gHzptdCd6DGqwiVJ2IlnsBR279CVLWrxMO7P+Xy9mdlbNgAWzdY2bbeSt5uK6WFZl9Nr0dBC0BZsYrPA8lpQQpyrOgadOrpJ7mxgdUGHdpYuHhEPD20MhgyBHbuhMWLJfkWoh6SEXAhalCXM2nWNMK6ZF1ORdIJTpsFRQEFHU/A/K9FUhRPTDmFmcs2YbNaDjox0aHGUTnq379tIhuyyvh2SyGD2iVVG/mv6UbYa4a3ZfaKrewtMTu6qLoSurGy8uYwb8BsN2hRzMdRwMAc/Y6yW/AENHJKvUTYzJ99QZ3GsU7iI832gW1SorngtJbVYm4aH8H2PBdrdxdT7A1ityioioIK5JT6COgGMQ4bsRFWAkEDq6qHusz4gzqRdoO8Mh+l3iDrs0r26+hyqBM/CbjkkkvIz8/f7/Hrr7+eEZIA7qeym8kvvxigqJQWqhgG7N5qJa1VEHeZSkmBSkKK2aknMkZDsRjkZ1tJSQvSqacfXVMwdIW2LSwM7RJjzmC5YwcMGwZ5ebB0KQwYEOYtFULURBJwIWpQVzNp1lbq4vIF8AU1ImwWNN3AajFHmP2aQaE7wGltzTiO9EShtqS/MtmMi7CRGvvXPtg32aztJs+75q+n1BMgqBtE2CygQLlfI6AZ2FUFh1UlqBsoQQ0UFZtFpVlFGUix209WqRerRSXGaSO+ogOLpWLSnQibyivfZFYrAxndNZUb3smmzFcxe2ZFO7a0+AgK3X48fp0yrwcFhWinld6tEtheUI4vqFHmC1AeCFLqCdKzeVxo5s+qpUZ1eSLW0M2dOzfcITQIlaUmu7MM/F6FP39z0KJDANW8xQFDB7sDSgpUtm+0EpekYbX9dXNls7YaQb+CVVXo2MpG3w5Rf00dv20bDB0KpaWwfDn06RO+DRVCHJAk4ELU4HD6jf8dtY2w7in24LBaiHFCvssPmKPFhmFOzV5ZDnIkJwq1Jf1l3gCd02KrvTbGaeWPvebI8MFqoNO7NQXMJNyi60TZrUQ5LBS6A3gD5oyazRMjcfuCbM0tw6fp5JX5CGg6NlXFZlVpmRRJpN0auuHSG9Ao9wexqCp2q4WkaOt+SXLzpAjy3T403cBpU2kU60A3zJFtv6YTCOoYGHgCQaIdVlonRVLg9pNT5iM11knP5o792jpWjnDX1YmYOL7tKvHww4ZySv1B9u5QcZdZ0ILgcBoE/VBaqOKMMC8VKQr4fbB9o5VmrTV++9ZBr6FeomJACyokximMGBBF87h9PoObNpkj3x4PrFgBPXuGYUuFEIdKasCFqEFlmUVchNnKLi7CxrTB5oyAM5dt4ub31zBz2aa/XQtcWcNcVYzTSqzTSnK0g4BmkBRlw8Cg3K8R47BwzfC2oQS4pnrsqvXaNamtvr3UG6w2LT3Ajnw3u4s8h1wD3SYlmtgIc+Ibv6Zjt1ro0yoBp82CyxfEMAx8Qc2cqt6mmrNfagZ2q0pqjINerRLwBXW8AQ3DMDAMg5xSHx1To2utxz+pIlFulhBJswQzgc8v8xNpt9I0PgKHzUKEzUqU3UpumZftBeU0jnUysXtTWiRG0jI5ar/9XznCfST7V+xv2bJlDB48mNWrV3PFFVdw+eWXhzukOrMxz8Vbi9x8s1JlT6aFjasdZO+0oFrMUW6AP1fbcETpRMZqNO9gTnjVskOQ7F0WOpwcAEPFosDI/nYuPT15/+R7wwaz5tvvhy++kORbiAZARsCFqMW+ZRbHojNKbSOsXZqY5RVvfr+D1btKSIpWGdE8ngtPa1ltXUcyMVFtZRVxEdZqs12WeYNsynHRsXH0IdVAV+6fWKeNGIcVRVHwBXUSoux0bRLDur1lFLrNqecbxThw2Cyc2jKe5GhzX67PKsVhtXJqy3i25Lop9QawW1SSo+20SDpwkrx2dzE7C8rN2TUBty9IcowDA0iOtptXERTQKzoebspxMaprKt9vK+C3ncUkRttplxJFSoyz2gj38TjxUziMHDmSkSNHhjuMOrerxMOS7zz8udaBxwXRcTpaAApzLCQ00ti20UrH7gEMrPz8uZMB6R5aNQ2i6eaMlh1OCaLoCqlJKgO6Ru+feAP8/jsMHw4WC3z5JZx0Up1vpxDi8EkCLsQhqjpynFfmZUuem0KXn7s/Wc+94086oqTsQKUundPieHBSt4Mu43An3akt6T+poqa6arLZPCliv+TXFwyybH3hfiUplfuna9NYftlRjMOq4LAo/LG3lDYp0dw3oTmbctx8/NseUmIctE+NJjnaGdr2yhOAuAgbfVonhvZFpE2lzBs8YBlIkzgnmflu9pR4iXVaaZ0cRevkKLbkuYmLsGG3quSW+kAxp6ZXVYXlG/JIi3VQUu4nt8TD1lwXkXYLUXYr1wz/q23e8Tbxkzh2ir0B1u7wsDPXj0/Tyc9VKHer+L2gqFBaZHY1ydphoVVnhZYdgmxaY+Pkvj5iEw2sVmiSbPvrhsqDWb0aRo4EpxM+/xw6dDj4e4QQ9YIk4EIcosqR47wyL7/uLMZhVUmItFLg8h3xSHg4Rlj3Tfp3Frj5M8dFs4SI0POV65+5bFO1ZD3f5WXVtiJinNb9rgJU7h9VsYVGsUs8flRFDe2byoluDvUEoLLmvraTlKpXJcad0iT03IjOKSzfkIfNouALaKiKQkKUnTbJkewp9rKn2IPHr9GlSSxtU6JYtb2IgKYT1BU6No5m+YY82qRES+ItDtmuEg8Lv/awc4eC22XFEalTlGchIlpD180e3pt+s9Glrx8M+OlzJwPGeBg01ovFCo2TVYacElnzKHdNfvwRRo2C2Fgz+ZZe60I0KJKAi+POsZo4pXLkeEueG4dVxWmz4A1oJEc7QjXJB1pPfZnQpWrSvz6rhF0FHjqkRtMyOWq/spoOqVHM/nwrAU0nKcpOSXkABejSJDZUjw3m1YGqI+vJ0c5Qacm+XVQONupfU2lLpE3lx+2FGBj0aB4fim/msk013sS6KcfNtMGteeP7HXyzpYCESButkiL4M9uFAUQ7LGAY/LqzGIuq0CwhAodVpcwXpFVyNCWegLQaFNWERrezghiKgc1u4PWoWCwGNqfOzp0KW9dZKXepBIMQEamQs8eCFrTQtY+f0mIVVDMJ7znYR8/BPqw2aN/SyqDO0Yc24l3pu+/MWS1TUszku2XLg79HCFGvSAIujivHcgbLysSx0OUnIdKKt6JXddemsQdtTVdbXJUjtXU142alykR35rJNNI2PrLHGG2D5hjw6NIomu9RLoTtAbpmX/m0TSYn5q4a8ctsvH9jqkDrHHM6of9X9Nrxzo9AyKx2oTWDntDgemtQtdOLz2fpsop1WujaNZUuuG29Aw2FV2FPsoU1yFL6gTmxFEiStBkVVxd4AS3/w8PsahZ0bI0ho4cdVBrm7rLQ5KUBknEJRnkp5mYpumJ1McvZYyNlpoWkbjQ2/2DlloJeO3XUURSE6QqVDMzvd20QcXuINsHIljB0LTZqYyXezo9uZSQhRNyQBF8eVYzFxStWR60ibitOmUlgeIDnaQdemsaGR3gO1pqstrte+38lJabFhm+jlQAls1Zgr2/R9+WcuWSU+Ojb+6/WV9diHk1gfal31wf6eh9ImsHJdf5XImH3Ff9lRjL2ix3hpRfeXrk1ja1yGOHEVewMs/9XF2t8Vvv8sknbd/JQUqnyz0EmPwV4K81XcLoW8LJWIKANdBwPI2WmhWVuNnN0WmrcJUl5ipXGqxpmnH0aZyb5WrICMDGjVyvw5Le1obqoQog5JAi6OK0d74pR9R67LvEFSYsypzZsnRhLjtIZa0x2oR3htceWUeunbOvGoxXu4DpTA1hRz57QYvttaSIknUOMo99G+YfFgf8/D6de+b4nMqS3jWbenNNQGsmNqNIlRjkP6e4oTQ7E3wGff+Nm2W8VVopD5p5V2Pb2oBhRkW4iMMXt352eZo91d+vix2Mx+/e27BdibaaFDtwBNWmm0am0wdsDfSL6XLIEzz4T27c1Jdho1OopbKoSoa5KAi+PK0Z44paYR2JZJUfiD5sQyh3rjZG1xpcY6D9rh42D+Tm35gRLYJety9ovZabMysF3SYW3733Gwv+fhjLrvu602i4U2KdGh/u7SalDsa+NOP5tXO1BjwTB04pN0Sgst2JwaSY01yssUnFEGeXstNG+vsf0PO+27+WnVxU90rIFVUYiwW2idZj2ycpNKn34KkydDly6wbBkkJR3dDRVC1DlJwMVx5WjPYFnbCGxWSZAbRh56y6/a4rr4tBYs35B3xPH+3Zr3gyWwNcV8rOvTqxrdNZXHlvxJoduPP6hjt6okRtm5dXTHattwNLZVEm4B5qj3xp1+ClwBduZorNuskpqmkJCm02ekh+3rrbTrGWDIxHJyd1lp0jKAvaef3F1W2p8cJKmxQVKshbEDIo58tLuqDz+EqVOhRw9YuhQSEv7+MoUQYScJuDiuHO22fkdrRP1AcbVJiT7ieI9GzXttCWy4J6HZkFXCm9/vYGN2GbpuEGFTsVvtoRruw11W1e24fGArSbgFUD3hLvdr7MhUydthA4sFr09l5zaVvdustOsGHbr7aXdygNgkjdgoBa9HM7ug2A28Hg0VhRaNLXRvE3Xko91VvfMOXHAB9O0LixZBnHxmhTheSAIujjtHsw75aI6oHyjRPdJ4j3bN+77CNQlN5cj+tjwXKdH20KyaXZrEYrdaDusE41h2xhENW2WN947NForKDdxelZ+/cNC1r591qxwkJxt0OjXA9nUKmescRDoVBg3TOWOg/egk2Afy+utw6aUwcCAsWAAxMcd2fUKIOqWGOwAh6rPKUeC4CBtZJV7iImz1KnFrGh9BWUUHj0rHQwePypF9v6bjtFlw2iw4rCpb8tyHfYJR9SpBZe/yyr7t4sRWWeMdVDXWfefEMBSyMm2oNoOsTCu7tlkp2mXn1KFeRpxdTt8zPHWTfL/yClxyCQwdao58S/ItxHFHRsCFOIj6PBX50a55ry8qR/ZjnTa8AS2UgLu8wcM+wTjWVwlEw1VcphMot+BI0CkrtOBzq8QnmTdXxidpBIMKxXlWinY4iTdU2jVRj33y/dxzMH26OdHOvHkQ0bBPpoUQNZMEXIgGZt965hGdU9iU4z6uOnhU1t63axTFLzuKzQcNA5tFOewTjKPdGUccP+JjVGyRGmgqMYkaeTvs9DjdR0m+hR6n+9i5yUpCrEKTpgrte/jo1MJ+bAN66im44Qaz1/f774PDcWzXJ4QIG0nAhWhAaqpnXr4hr16VxRwNlSP7cRE2erSIY/3eMoo8QQa2S+LC01oe1rYer1cJxJGreuNlfNsAxVl2uvb38sdPDpSgQs/+QZKaBhg53k+EzUJqvJVOLY5x6cljj8G//gVnnQVvvw32Y5zsCyHCShJwIRqQYzHTZ31UvQNLkNM7Njqs/ua1L+v4uUogjkzljZebVzsIlEcS1chH4zYeEpOh52kBbFa1IuH+G327D9f998Ndd5ntBt94A6zy1SzE8a7e/itfvHgxzzzzDFu3buX999/n5JNPDj334osv8sEHH6CqKnfccQeDBg0KY6RC1J1DrWf+O5PzhENt8R6tmOtzHb+oW5U3Xgbc5tefO8eJ32WlywQf/TpE1W0whmEm3g88ABddBHPmgMVStzEIIcKi3ibgHTp0YPbs2dx9993VHt+yZQsLFy5k4cKF5OTkcOmll7J06VIsctASJ4BDqWeuL233DvUkoL7EK44flSUmxWU68TEqTVNV9uToFJfp5JYEKSt14KzylREot1BcptdtkIYBM2aYpSf/+Ae8+CKo0phMiBNFvU3A27ZtW+PjK1asID09HbvdTvPmzWnZsiVr166lR48edRyhEHXvUOqZ60OZyuEk1fUhXtEw7ZtoV94k+VeJiYWoRj6MaC+uPZGoPhuRLVxkFwdoHKfgtJpZuC1SIz6mDpNfwzBvtnz6afjnP+GZZyT5FuIEU28T8Nrk5ORwyimnhH5PTU0lJ0f6+YoTw6HUM9eHtnuHk1TXh3hFw1O9ltuCLVJjZw8fjZpobF4dGSoxCaoaPyyMIiXFoFmSglbkpFk7LyU54FSc2CK1uulwUknX4eqr4fnn4frr4ckn4QhmdxVCNGxhTcAvueQS8vPz93v8+uuvZ8SIEWGISIj672D1zPWh7d7hJNX1IV7R8Oxbyx1wW9m8GrxqGYHyKvUlFp3SHAsxsQEAfKU2ouIMOp3hIjkmGBo5r5MbLjUNrrjCnGjnX/+Chx+W5FuIE1RYE/C5c+ce9ntSU1PJzs4O/Z6Tk0NqaupRjEqIhq0+tN07nKS6PsQrGp7KSXSqCpRbUFUDW6QWSszRVGJTNZyOvxJdPajSromjbm+6DAbhssvMLid33QX33CPJtxAnsAZXdDZs2DAWLlyI3+9n165dZGZm0q1bt3CHJUS9UVmmEhdhI6vES1yErc5vaBzdNZUST4ASTwDdMEI/j+66/8lyfYhXNDyhSXSqsEVqtEiz0r6HD1tUEBQDq25hQLqbJk0BxcAWFazbkhOAQAAuvNBMvu+/H+69V5JvIU5w9bYGfNmyZdx///0UFhZyxRVX0LlzZ1555RXat2/PmDFjGDt2LBaLhbvuuks6oAixj3C33Tvc3tvhjlc0PJ1a2NnZw8fm1YRqwNv38NGtZQTdWkKLFr4qXVAc7MkJUFzmq9uSEwC/H84915xW/rHH4JZb6ma9Qoh6TTEMwwh3EMfC7t27GT58OCtWrKBZM7mULYQQ9dmRHLNr6oJSZ4n1ofD5YMoU+PRTc5r5664Ld0RCiHqi3o6ACyGEEAcS77TRr0M9Srir8njgzDNh6VKz48mVV4Y7IiFEPSIJuBBCCHE0ud0wfjx88YXZ8eSyy8IdkRCinpEEXAghhDhaysogPR2+/RZee828+VIIIfYhCbgQQghxNJSUwJgx8OOP8PbbcM454Y5ICFFPSQIuhBBC/F1FRTBqFPz2G7z3HkyaFO6IhBD1mCTgQgghxN+Rnw8jR8L69Wa7wXHjwh2REKKekwRcCCGEOFK5uTB8OGzZAp98Yo6CCyHEQUgCLoQQQhyJrCwz+c7MhAULzJ+FEOIQSAIuhBDimHr00Uf54osvsNlstGjRgocffpjY2Nhwh/X37N4Nw4aZSfiSJTB4cLgjEkI0IGq4AxBCCHF8GzBgAAsWLODTTz+lVatWvPjii+EO6e/JzDQT7pwc+OwzSb6FEIdNEnAhhBDH1MCBA7FazQuu3bt3Jzs7O8wR/Q1bt8KQIWbXk+XL4bTTwh2REKIBkgRcCCFEnfnwww8Z3FBHjP/80xztdrvh88+hd+9wRySEaKCkBlwIIcTfdskll5Cfn7/f49dffz0jRowA4Pnnn8disTB+/Pi6Du/vW7/erPk2DHOK+ZNPDndEQogGTBJwIYQQf9vcuXMP+Py8efP48ssvmTt3Loqi1E1QR8vatTBiBFitsGIFdO4c7oiEEA2cJOBCCCGOqZUrV/Lyyy/z5ptvEhEREe5wDs+vv5qT7ERGmmUn7duHOyIhxHFAEnAhhBDH1P3334/f7+fSSy8F4JRTTuG+++4Lc1SHYNUqc2Kd+Hiz7KR163BHJIQ4TkgCLoQQ4phatmxZuEM4fN9+C2PGQEqKOfLdsmW4IxJCHEekC4oQQghR1ZdfmiPfaWmwcqUk30KIo04ScCGEEKLS8uUwdqyZdH/1FTRtGu6IhBDHIUnAhRBCCIBFi2DcOPNGyy+/hMaNwx2REOI4JQm4EEIIMX8+TJwIXbqYNd8pKeGOSAhxHJMEXAghxIntgw9g8mTo0cPs852UFO6IhBDHOUnAhRBCnLjefhumToW+fWHZMrPloBBCHGOSgAshhDgxvfYaXHABDBoES5ZAbGy4IxJCnCCkD7gQot7akFXCknU57Cn20DQ+gtFdU+mcFhfusMTx4L//hSuugOHDzfrvyMhwRySEOIHICLgQol7akFXCSyu3U+IJkBbnpMQT4KWV29mQVRLu0ERD9+yzMG0ajB4Nn34qybcQos5JAi6EqJeWrMshLsJGXIQNVVFCPy9ZlxPu0ERDNnMmXH01TJgAH30ETme4IxJCnICkBEUIUS/tKfaQFlc9OYpxWtlT7AlTRKIuFXsDbNzpp7hMJz5GpVMLO/FO299b6COPwL//bXY8efttsP3N5QkhxBGSBFwIUS81jY+gxBMgLuKvJKnMG6RpfEQYoxJ1odgb4LNv/Gxe7SBQbsEWqbGzh48zBnJkSbhhwP33w913w3nnmTdfWuXrTwgRPlKCIoSol0Z3TaXEE6DEE0A3jNDPo7umhjs0cYxt3FmRfLutYCgE3FY2r3awcaf/8BdmGHDnnWbyffHF8PrrknwLIcJOEnAhRL3UOS2OaYNbExdhI6vES1yEjWmDW0sXlBNAcZlOoNxS7bFAuYXiMv3wFmQYcOut8OCD8H//B3PmgMVy8PcJIcQxJsMAQoh6q3NanCTcJ6D4GBVbpGaOgFewRWrExxzGmJFhwPXXw6xZMH26+X9VxpyEEPWDHI2EEELUK51a2Gnfw4ctKgiKgS0qSPsePjq1sB/aAnQd/vlPM+m+8UaYPVuSbyFEvSIj4EIIIeqVeKeNMwZCixa+w++Comlmucmrr8KMGfDQQ6Aoxz5oIYQ4DJKACyGEqHfinTb6dTjMjifBIFx6Kbz5pnnT5d13S/IthKiXJAEXQgjR8AUCcMEF8N575k2Xt90W7oiEEKJWkoALIYRo2Px+mDrVnNnyiSfgppvCHZEQQhyQJOBCCCEaLq/XnNly4ULzpstrrgl3REIIcVCSgAshhGiYPB6YOBE++wxeeAGuuCLcEQkhxCGRBFwIIUTD43ZDRgZ8+aU5wc6ll4Y7IiGEOGSSgAshhGhYysogPR2+/dacWv6CC8IdkRBCHBZJwIUQQjQcxcUwZgz89BP8739w9tnhjkgIIQ6bJOBCCCEahsJCOOMMWLsW3n8fzjwz3BEJIcQRkQRcCCFE/ZefDyNGwIYNMG8ejBsX7oiEEOKISQIuhBCifsvJgeHDYetW+PRTcxRcCCEaMEnAhRBC1F9795rJ986dZq/vYcPCHZEQQvxtkoALIYSon3btMhPu7GxYsgQGDQp3REIIcVRIAi6EEKL+ycyEoUPNGy+XLYN+/cIdkRBCHDWSgAshhKhftmwxR75dLlixAnr1CndEQghxVKnhDkAIIYQI2boVhgwxp5n//HNJvoUQxyUZARdCCFF/TJ0KhgFffAFdu4Y7GiGEOCaO2wRc0zQAsrOzwxyJEEIcmcaNG2O1HreH6WpCx2yLBd56C+LjYffu8AYlhBCH4XCO2cftkT0vLw+A888/P8yRCCHEkVmxYgXNmjULdxh1InTMjoqCadPCHI0QQhy+wzlmK4ZhGMc4nrDwer2sW7eOlJQULBZLuMMRQojDdiKNgMsxWwjR0B3OMfu4TcCFEEIIIYSoj6QLihBCCCGEEHVIEvC/YeXKlYwaNYqRI0fy0ksvhTucGg0bNoyMjAwmTJjApEmTwh0O//73vznttNMYN25c6LHi4mIuvfRSzjjjDC699FJKSkrqVXyzZ89m0KBBTJgwgQkTJvDVV1+FLb6srCwuvPBCxo4dS3p6Oq+99hpQf/ZhbfHVl33o8/mYPHky48ePJz09nVmzZgGwa9cupkyZwsiRI7n++uvx+/1hiU80HI8++iijR48mIyOD6dOnU1paGu6Q9rN48WLS09Pp1KkTv//+e7jD2U9D+A6t6TuhPqrt2Fvf1HYMrq80TWPixIlcccUVR3/hhjgiwWDQGD58uLFz507D5/MZGRkZxubNm8Md1n6GDh1qFBQUhDuMkB9//NFYt26dkZ6eHnrs0UcfNV588UXDMAzjxRdfNB577LFwhVdjfLNmzTJefvnlsMVUVU5OjrFu3TrDMAyjrKzMOOOMM4zNmzfXm31YW3z1ZR/qum64XC7DMAzD7/cbkydPNlavXm1ce+21xoIFCwzDMIw777zTeOutt8IZpmgAvv76ayMQCBiGYRiPPfZYWI9btdmyZYuxdetW44ILLjDWrl0b7nCqaSjfoTV9J9RHtR1765vajsH11Zw5c4wbb7zRmDZt2lFftoyAH6G1a9fSsmVLmjdvjt1uJz09nRUrVoQ7rHqvd+/exMXFVXtsxYoVTJw4EYCJEyeyfPnyMERmqim++qRRo0Z06dIFgOjoaNq0aUNOTk692Ye1xVdfKIpCVFQUAMFgkGAwiKIo/PDDD4waNQqAM888U/4ti4MaOHBg6Gar7t2718uWt23btqVNmzbhDqNGDeU7tL5/J1Sq78feSrUdg+uj7OxsvvzySyZPnnxMli8J+BHKycmhcePGod9TU1Pr5Ycd4PLLL2fSpEm8++674Q6lRgUFBTRq1AiAlJQUCgoKwhzR/t566y0yMjL497//HdYSmap2797Nhg0bOOWUU+rlPqwaH9SffahpGhMmTKB///7079+f5s2bExsbG0qmGjduXG//LYv66cMPP2Tw4MHhDqNBaUjfoQ3Nvsfe+mbfY3B9jfOhhx7illtuQVWPTap8YvS3OoH973//IzU1lYKCAi699FLatGlD7969wx1WrRRFqXdnw+eeey5XXXUViqLw9NNP88gjj/Dwww+HNSa32821117LbbfdRnR0dLXn6sM+3De++rQPLRYL8+fPp7S0lOnTp7Nt27awxCHqv0suuYT8/Pz9Hr/++usZMWIEAM8//zwWi4Xx48fXdXjAocUoThwH+m6oL/Y9Bm/atIkOHTqEO6xqvvjiCxITE+natSurVq06JuuQBPwIpaamVrvkmJOTQ2pqahgjqlllTElJSYwcOZK1a9fWuwQ8KSmJ3NxcGjVqRG5uLomJieEOqZrk5OTQz1OmTOHKK68MYzQQCAS49tprycjI4IwzzgDq1z6sKb76tg8BYmNj6du3L7/99hulpaUEg0GsVivZ2dn18t+yqHtz58494PPz5s3jyy+/ZO7cuWE76T1YjPVVQ/kObUhqOvbWZ5XH4K+//rreJeC//vorn3/+OStXrsTn8+Fyubj55pt54oknjto6pATlCJ188slkZmaya9cu/H4/CxcuZNiwYeEOq5ry8nJcLlfo52+//Zb27duHOar9DRs2jI8//hiAjz/+mOHDh4c3oH3k5uaGfl6+fHlY96FhGNx+++20adOGSy+9NPR4fdmHtcVXX/ZhYWFhqFuF1+vlu+++o23btvTt25elS5cC8NFHH9W7f8ui/lm5ciUvv/wyzz//PBEREeEOp8FpCN+hDUltx976pqZjcH28T+Gmm25i5cqVfP755zz55JP069fvqCbfIBPx/C1fffUVDz30EJqmcdZZZ/HPf/4z3CFVs2vXLqZPnw6YNVfjxo0Le4w33ngjP/74I0VFRSQlJXHNNdcwYsQIrr/+erKysmjSpAlPPfUU8fHx9Sa+H3/8kY0bNwLQtGlT7rvvvlC9dV37+eefOf/88+nQoUOoLu3GG2+kW7du9WIf1hbfggUL6sU+3LhxIzNmzEDTNAzDYPTo0Vx99dXs2rWLG264gZKSEjp37swTTzyB3W6v8/hEwzFy5Ej8fn/o39kpp5zCfffdF96g9rFs2TLuv/9+CgsLiY2NpXPnzrzyyivhDiukvn+HQs3fCVOmTAl3WPup7dg7ZMiQMEdWXW3H4Pps1apVzJkzhxdffPGoLlcScCGEEEIIIeqQlKAIIYQQQghRhyQBF0IIIYQQog5JAi6EEEIIIUQdkgRcCCGEEEKIOiQJuBBCCCGEEHVIEnDRoHXu3JkJEyaE/tu9ezdTp04FzOl4P/3009BrN2zYwFdffXXY67jwwgv5/fff/3asR2s5QghxrBUVFYWOqwMGDGDQoEFMmDCBXr16MXbs2DqNZfny5WzZsiX0+9NPP81333132MvZvXs348aNq/G5zZs3c9FFFzFq1ChGjBjBrFmz0HX9iGOuzYG2Rb4jTiwyE6Zo0JxOJ/Pnz6/22DvvvAPAnj17WLBgARkZGYCZgK9bt67e9UUVQoj6JiEhIXRsnT17NpGRkVx++eXs3r37mMxkWzkTbU2WL1/O6aefTrt27QC47rrrjuq6vV4v//znP7nnnnsYOHAgHo+Ha665htdff51LLrnkqK7rWG+LaDhkBFwcd3r06AHAf/7zH37++WcmTJjASy+9xKxZs1i0aBETJkxg0aJFlJeX8+9//5vJkyczceJEli9fDpgH4xtuuIExY8Ywffp0vF7vfutYuXIl1157bej3VatWccUVVwBw9913M2nSJNLT05k1a9YBYwRYsmQJM2bMAMxZwq655hrOOusszjrrLH755RcAfvzxx9Bo1MSJE0MznAohRF3TNI077riD9PR0LrvsstAxcufOnVx++eVMmjSJ8847j61btwLmyPNFF11ERkYGF198MXv37gVgxowZ3HXXXUyZMoXHH3+8xvdXTgn+2GOPMWHCBHbu3MmMGTNYsmQJAGvXrmXq1KmMHz+eyZMn43K52L17N+eddx5nnnkmZ555Jr/++usBt+fTTz+lZ8+eDBw4EICIiAjuuusuXn75ZcA8Aak6gdG4cePYvXs3AFdddVXoeP/uu++GXtOjRw9mzpzJ+PHjOfvss8nPzz/otlT1zTffcM4553DmmWdy7bXX4na7AXjiiScYO3YsGRkZPProo4f/xxP1hoyAiwbN6/UyYcIEAJo1a8azzz4beu6mm26qNntVcnIy69at46677gIITS/78MMPU1paypQpU+jfvz/vvvsuTqeTxYsXs3HjRiZNmrTfevv3789dd91FeXk5kZGRLFq0KHRZ9oYbbiA+Ph5N07jkkkvYuHEjnTp1OqTtefDBB7n44ovp1asXe/fu5fLLL2fx4sXMmTOHu+66i1NPPRW3243D4fhb+00IIY7Ujh07ePLJJ3nggQe47rrrWLp0KRMmTODOO+/k3nvvpVWrVqxZs4Z7772X119/nQceeCCUDH/wwQc88MADPPfccwDk5OTwzjvvYLFYuPjii2t8/7Bhwzj99NMZPXp0tTj8fj833HADM2fOpFu3brhcLpxOJ0lJSbz66qs4HA4yMzO58cYbmTdvXq3bs2XLFrp06VLtsRYtWuDz+ULTptfmoYceIj4+Hq/Xy+TJkznjjDNISEigvLycU045hRtuuIHHHnuM9957j6uuuqrWbamqsLCQ559/nldffZXIyEheeuklXn31Vc4//3yWLVvGkiVLUBTloLGJ+k0ScNGg1VSCcqi++eYbPv/8c+bMmQOAz+cjKyuLn376iQsvvBCATp060bFjx/3ea7VaGTRoEF988QWjRo3iq6++4pZbbgFg8eLFvPfeewSDQfLy8ti6deshJ+DfffddtfpAl8uF2+2mZ8+ePPLII2RkZHDGGWcQFRV1RNsshBB/V7NmzejcuTMAXbp0Yc+ePbjdblavXl2tpMLv9wOwevVqZs+eDcCECRN4/PHHQ68ZPXo0FovlgO+vzfbt20lJSaFbt24AREdHA+DxeLjvvvvYuHEjqqqSmZn59ze6Fm+88QbLli0DICsrix07dpCQkIDNZmPo0KEAdO3alW+//faQl7lmzRq2bNnCueeeC0AgEKB79+7ExMTgcDi47bbbGDp0KKeffvpR3x5RdyQBFye0WbNm0aZNmyN679ixY3nrrbeIi4uja9euREdHs2vXLubMmcMHH3xAXFwcM2bMwOfzHXA5VZ/XdZ333ntvvxHuadOmMWTIEL766ivOPfdcXn75Zdq2bXtEcQshxN9ht9tDP1ssFnw+H4ZhEBsbe9gDIhEREQBH/P6azJ07l+TkZObPn4+u66EEvTbt2rXjp59+qvbYrl27iI+PJzY2FovFUu2GzMpj9qpVq/juu+949913iYiI4MILLww9Z7PZUBQFAFVV0TTtkOM3DIMBAwbw5JNP7vfcBx98wPfff8+SJUt48803ef311w95uaJ+kRpwcdyKiooK1c3V9PvAgQN58803MQwDgPXr1wPQu3dvFixYAMCmTZv4888/a1x+nz59WL9+Pe+9916o/MTtdhMREUFMTAz5+fmsXLmyxvcmJyezdetWdF0P1Z5XxvTGG2+Eft+wYQNg1lZ27NiRadOmcfLJJ7N9+/bD3h9CCHGsREdH06xZMxYvXgyYSeTGjRsBsx564cKFgFlv3atXr8N6/77H7kqtW7cmLy+PtWvXAuYVw2AwSFlZGSkpKaiqyvz58w+a/GZkZPDLL7+EupF4vV4eeOABrrnmGgCaNm0a+n74448/QvXfZWVlxMXFERERwdatW/ntt98Oup9q25aqunfvzq+//sqOHTsAKC8vZ/v27bjdbsrKyhgyZAi33XZbrd9NomGQBFwctzp27IiqqowfP565c+fSt29ftmzZEroJ86qrriIYDDJ+/HjS09N5+umnATj33HMpLy9nzJgxzJo1a7/awEoWi4XTTz+dr7/+OnSpsVOnTpx00kmMGTOGm266iZ49e9b43ptuuokrrriCqVOnkpKSEnr89ttvZ926dWRkZDB27Fj+97//AfDaa68xbtw4MjIysFqtDB48+GjuKiGE+Nsef/xxPvjgg9AxtXJw4c4772TevHlkZGQwf/58br/99sN6/9ixY3nllVeYOHEiO3fuDL3ebrczc+ZMHnjgAcaPH89ll12Gz+fjvPPO46OPPmL8+PFs27aNyMjIA8btdDp5/vnnef755xk1ahT9+vWjZ8+ejB8/HoBRo0ZRUlJCeno6b775Jq1atQJg8ODBBINBxowZw3/+8x+6d+9+0H1U27ZUlZiYyMMPP8yNN95IRkYG55xzDtu2bcPtdnPFFVeQkZHBeeedF7p5XzRMilE5/CeEEEIIcYJbvnw5Dz/8MK+//jpNmzYNdzjiOCUJuBBCCCGEEHVISlCEEEIIIYSoQ5KACyGEEEIIUYckARdCCCGEEKIOSQIuhBBCCCFEHZIEXAghhBBCiDokCbgQQgghhBB1SBJwIYQQQggh6pAk4EIIIYQQQtQhScCFEEIIIYSoQ5KACyGEEEIIUYckARdCCCGEEKIOSQIuhBBCCCFEHZIEXAghhBBCiDokCbgQQgghhBB1SBJwIYQQQggh6pAk4EIIIYQQQtQhScDFcW/evHmce+654Q7jiKWnp7Nq1apwhyGEECGffPIJl112Wa3PX3jhhbz//vt/ez2rVq1i8ODBf3s5QtQ3koCLeufnn39m6tSpnHrqqfTp04epU6eydu3asMRS1wf/GTNmMHPmzGqPLVy4kL59+9ZZDEKI48uwYcPo1q0bPXr0YMCAAcyYMQO32/23ljl+/HjmzJlzlCKsnyT5F8eSJOCiXnG5XFx55ZVccMEF/Pjjj6xcuZKrr74au90e7tCEEKLBeuGFF1i9ejUff/wx69ev56WXXgp3SOIggsFguEMQx5Ak4KJe2b59OwDjxo3DYrHgdDoZOHAgnTp1AuC9995jzJgx9OjRg7Fjx/LHH38A8NJLLzFixIjQ48uWLat1HVu3buXSSy+lT58+jBo1ikWLFh1RrFu3buXCCy+kV69epKens2LFitBzXq+XRx55hKFDh3Lqqady7rnn4vV6Abj22msZMGAAp556Kueffz6bN28G4N133+XTTz/llVdeoUePHlx55ZWAOXr13XffAeD3+3nwwQcZOHAgAwcO5MEHH8Tv9wN/jdbMmTOH0047jYEDB/Lhhx8e0bYJIY5PKSkpDBw4kA0bNoQe++2335g6dSq9evVi/Pjx1Ure5s2bx/Dhw+nRowfDhg3jk08+CT1etbTv22+/ZfTo0Zx66qncd999GIYRem727NncfPPNod93795Nx44dQwnmhx9+GDquDx8+nHfeeafW+F966SUGDRpEjx49GDVqFN9///1+r1mzZg0DBgxA07TQY8uWLSMjIwOAtWvXMmnSJHr27En//v15+OGHD3n/VcrJyeGaa66hX79+DBs2jNdffz30eLdu3SguLg69dv369fTt25dAIADABx98wJgxY+jduzeXX345e/bsCb22Y8eOvPXWW5xxxhmcccYZADzwwAMMGTKEnj17MmnSJH7++efQ671eL//617/o3bs3Y8aM4b///W+1Ufva4hT1gCFEPVJWVmb06dPHuPXWW40vv/zSKC4uDj23aNEiY+DAgcaaNWsMXdeNzMxMY/fu3aHnsrOzDU3TjIULFxqnnHKKkZOTYxiGYXz44YfG1KlTDcMwDLfbbQwePNj44IMPjEAgYPzxxx9Gnz59jM2bN9cYzw8//GAMGjRov8f9fr8xYsQI4/nnnzd8Pp/x3XffGd27dze2bt1qGIZh3HPPPcYFF1xgZGdnG8Fg0Pjll18Mn89nGIZhvP/++0ZZWZnh8/mMBx54wBg/fnxouf/617+MJ598stq6hg4danz77beGYRjGU089ZUyZMsXIz883CgoKjHPOOceYOXNmKNbOnTsbTz31lOH3+40vv/zS6NatW7V9KIQ48VQ9hmRlZRnjxo0z7r//fsMwDCM7O9vo06eP8eWXXxqaphnffPON0adPH6OgoMBwu91Gjx49Qse1nJwcY9OmTYZhVD+uFhQUGN27dzcWL15s+P1+49VXXzU6d+5svPfee4ZhGMasWbOMm266KRTPrl27jA4dOhiBQMAwDMP44osvjB07dhi6rhurVq0yunXrZqxbt84wjOrH4K1btxqDBw82srOzQ8vZsWNHjds8fPhw45tvvgn9fs011xgvvviiYRiGcfbZZxsfffSRYRiG4XK5jNWrV9e4jNqO/5qmGWeeeaYxe/Zsw+fzGTt37jSGDRtmrFy50jAMw7jwwguNd999N/T6Rx55xLjzzjsNwzCMZcuWGSNGjDC2bNliBAIB49lnnzXOOeec0Gs7dOhgXHLJJUZRUZHh8XgMwzCMjz/+2CgsLDQCgYDxyiuvGP379ze8Xq9hGIbx+OOPG+eff75RXFwc+ttWxnywOEV4yQi4qFeio6N5++23URSFO++8k9NOO40rr7yS/Px8PvjgA/7xj3/QrVs3FEWhZcuWNG3aFIAxY8aQmpqKqqqMHTuWli1b1lg3/uWXX9K0aVPOOussrFYrJ510EqNGjWLJkiWHFeeaNWsoLy9n2rRp2O12TjvtNIYOHcrChQvRdZ0PP/yQ22+/ndTUVCwWCz179gyV0UyePJno6GjsdjvXXHMNGzdupKys7JDW++mnnzJ9+nSSkpJITExk+vTpoREpAKvVyvTp07HZbAwZMoTIyMjQVQUhxIlr+vTp9OjRgyFDhpCYmMi1114LwPz58xk8eDBDhgxBVVUGDBhA165d+eqrrwBQVZXNmzfj9Xpp1KgR7du332/ZK1eupH379owePRqbzcbFF19McnLyIcd2+umn06JFCxRFoU+fPgwYMKDaKG8li8WC3+9n69atBAIBmjVrRosWLWpcZnp6OgsWLADM0saVK1eSnp4OmMfJnTt3UlhYSFRUFN27dz/kWAF+//13CgsLQ+WRzZs35+yzzw5dTc3IyAit2zAMFi1aFBp9f+edd5g2bRpt27bFarVy5ZVXsmHDhmqj4NOmTSM+Ph6n0wnAhAkTSEhIwGq1ctlll+H3+0PH9cWLF3PFFVcQFxdH48aNueiiiw45ThFe1nAHIMS+2rZtyyOPPAKYZR633HILDz30EFlZWbUebD/++GNeffXV0EGsvLycoqKi/V63Z88e1q5dS69evUKPaZrG+PHj2bt3b+gADbB69epaY8zNzaVx48ao6l/nsE2aNCEnJ4eioiJ8Ph/Nmzff732apjFz5kyWLFlCYWFh6P1FRUXExMQcaLeE1tukSZNq68zNzQ39Hh8fj9X61z/riIgIysvLD7pcIcTx7dlnn6V///78+OOP3HTTTRQVFREbG8vevXtZsmQJX3zxRei1wWCQvn37EhkZycyZM5kzZw633347PXv25F//+hdt27attuzK42ElRVFIS0s75Ni++uornn32WTIzM9F1Ha/XS4cOHfZ7XcuWLbntttuYPXs2W7ZsYeDAgcyYMYPU1NT9XpuRkcHUqVO59957WbZsGSeddFJowObBBx9k1qxZjBkzhmbNmnH11VczdOjQQ453z5495Obm7vc9Uvn7GWecwf33309ubi6ZmZmoqhp6bu/evTz00EM8+uijofcahkFOTk4ovn333SuvvMIHH3xAbm4uiqLgcrlC32+5ubnVXl/173CwOEV4SQIu6rW2bdsyadIk3n33XdLS0ti5c+d+r9mzZw933HEHc+fOpUePHlgsFiZMmFDj8tLS0ujduzevvvpqjc8fKOmuqlGjRmRnZ6PreiiJzsrKolWrViQkJOBwONi1a1eodr3Sp59+yooVK3j11Vdp1qwZZWVl9O7dO1QvqSjKQde7d+/e0ChUVlYWjRo1OqSYhRCiT58+TJo0iUcffZTnnnuOtLQ0JkyYwAMPPFDj6wcNGsSgQYPwer089dRT3Hnnnbz99tvVXpOSkkJ2dnbod8MwyMrKCv0eERERugcGID8/P/Sz3+/n2muv5dFHH2X48OHYbDauuuqqajXkVWVkZJCRkYHL5eKuu+7iiSee4PHHH9/vde3ataNJkyasXLmSBQsWMG7cuNBzrVq14sknn0TXdT777DOuvfZaVq1aRWRk5EH2niktLY1mzZrx2Wef1fh8XFwcAwYMYNGiRWzbto2xY8eGju1paWlceeWVjB8/vtblV/0e+Pnnn3n55ZeZO3cu7du3R1XVat8Zlfu+Xbt2ANX+DgeLU4SXlKCIemXr1q3MmTMndBDJyspiwYIFnHLKKUyePJk5c+awbt06DMNgx44d7NmzB4/Hg6IoJCYmAuYNPZU3Nu7r9NNPJzMzk48//phAIEAgEGDt2rVs3br1gHH5fL5q/3Xr1g2n08nLL79MIBBg1apVfP7554wdOxZVVTnrrLN4+OGHycnJQdM0Vq9ejd/vx+12Y7fbSUhIwOPx8OSTT1ZbT1JSErt37641jvT0dJ5//nkKCwspLCzk2WefDV3aFEKIQ3HxxRfz3XffsXHjRsaPH88XX3zB119/jaZp+Hw+Vq1aRXZ2Nvn5+Sxfvpzy8nLsdjuRkZHVrvpVGjJkCJs3b+azzz4jGAzy+uuvV0uyO3fuzE8//cTevXspKyvjxRdfDD3n9/vx+/0kJiZitVr56quv+Pbbb2uMe9u2bXz//ff4/X7sdjsOh6PGeCqNGzeO1157jZ9++onRo0eHHp8/f37oCmRsbCzAAZdT0/E/KiqKl156Ca/Xi6ZpbNq0qVrZY0ZGBvPnz2fp0qXVjtFTp07lpZdeCn1HlZWVsXjx4lrX7Xa7sVgsJCYmEgwGeeaZZ3C5XKHnx4wZw4svvkhJSQk5OTm8+eaboecOJU4RPpKAi3olOjqaNWvWMGXKFLp3787ZZ59Nhw4dmDFjBmPGjOHKK6/kpptuomfPnkyfPp2SkhLatWvHZZddxtSpU+nfvz+bNm2iZ8+etS7/lVdeYdGiRQwaNIiBAwfyxBNPhDqJ1KTyrvaq/2VlZfHCCy+wcuVK+vXrx7333stjjz0WujT7r3/9iw4dOjB58mT69OnDE088ga7rTJw4kSZNmjBo0CDS09P3qz2cPHkyW7ZsoVevXlx11VX7xXLVVVfRtWtXxo8fz/jx4+nSpUuNrxNCiNokJiYyYcIEnn32WdLS0njuued48cUXOe200xgyZAivvPIKuq6j6zpz585l0KBB9OnTh59++ol77rmnxuU9/fTT/Oc//6Fv377s2LGj2jF4wIABjB07lvHjxzNp0qRq5R7R0dHccccdXH/99fTu3ZsFCxYwbNiwGuP2+/2hdQwcOJDCwkJuvPHGWrdz3Lhx/PTTT/Tr1y80QAPw9ddfk56eTo8ePXjwwQeZOXNmqN56XzUd/3fv3s0LL7zAxo0bGT58OP369eOOO+6olhgPGzaMzMxMkpOTq10JHTlyJP/4xz+48cYb6dmzJ+PGjWPlypW1bsPAgQMZNGgQo0aNYtiwYTgcjmolJ9OnT6dx48YMHz6cSy65hFGjRoXuN7JYLAeNU4SPYtR2nUcIIYQQQjQYb7/9NosWLao2Ei7qJxkBF0IIIYRogHJzc/nll1/QdZ1t27bx6quvMmLEiHCHJQ6B3IQphBBCCNEABQIB7r77bnbv3k1MTAzp6emcd9554Q5LHAIpQRFCCCGEEKIOSQmKEEIIIYQQdei4TcCDwSC7d+8mGAyGOxQhhBAHIcdsIcSJ5LhNwLOzsxk+fHi1pvRCCCHqJzlm/31z585l7ty54Q5DCHEI5CZMIYQQ4jhQOamMEKL+kwRcCCGEOA5MmjQp3CEIIQ7RcVuCIoQQQgghRH0kCbgQQghxHFiyZAlLliwJdxhCiEMgJShCiDrn8/k4//zz8fv9aJrGqFGjuPbaaznvvPNwu90AFBQU0K1bN5577jk++eQT/vvf/wIQFRXFPffcQ6dOncK5CULUO3IDqxANhyTgQog6Z7fbee2114iKiiIQCHDeeecxePBg3n777dBrrrnmGoYPHw5As2bNePPNN4mLi+Orr77izjvv5P333w9X+EIIIcTfIiUoQog6pygKUVFRgNn/ORgMoihK6HmXy8UPP/zAiBEjAOjZsydxcXEAdO/eXUb6GjBN05g4cSJXXHFFuEMRQoiwCVsCnpWVxYUXXsjYsWNJT0/ntdde2+81hmHwwAMPMHLkSDIyMvjjjz9Cz3300UecccYZnHHGGXz00Ud1GboQ4ijQNI0JEybQv39/+vfvzymnnBJ6bvny5Zx22mlER0fv974PPviAwYMH12Wo4ih6/fXXadu2bbjDEEKIsApbAm6xWJgxYwaLFi3i3Xff5e2332bLli3VXrNy5UoyMzP57LPPuP/++7nnnnsAKC4u5plnnuG9997j/fff55lnnqGkpCQMWyGEOFIWi4X58+fz1VdfsXbtWtatW8fkyZMZP3489957b2hE/LzzzmPChAlMmDCBvn378swzz3DzzTezfPlyMjIymDBhApMmTeLnn38O8xaJg8nOzubLL79k8uTJ4Q7luJSUlERSUlK4wzgmevToEe4Q/rZ58+aRk5MT+n3YsGEUFhYe1XWsWrXqsK8uXXjhhfz+++/7PT5v3jzuu+++Gt+zfPlynnnmGQD8fj/XX389I0eOZMqUKezevbvG96xcuZJRo0YxcuRIXnrppdDju3btYsqUKYwcOZLrr78ev98PwN69e7nwwguZOHEiGRkZfPXVVwD8+eefzJgx47C2sT4KWw14o0aNaNSoEQDR0dG0adOGnJwc2rVrF3rNihUrmDhxIoqi0L17d0pLS8nNzeXHH39kwIABxMfHAzBgwAC+/vprxo0bF45NEUIcog1ZJSxZl8OeYg9N4yMY3TWVzmlx9O3blx9++IHXXnsNn8/H6NGj2b17N7/99luoLnzjxo1MnTqV6dOnk5CQwGmnncbw4cNRFIWNGzdy/fXXSweIeu6hhx7illtuCd1oe6zU9jk73mVkZIQ7hAYvGAxitR6b1Oijjz6iffv2pKam1ot4/o6XX36Z5557DoD333+f2NhYli1bxsKFC3niiSd46qmnqr1e0zTuu+8+Xn31VVJTU5k8eTLDhg2jXbt2PPHEE1xyySWkp6dz11138cEHH3Deeefx/PPPM2bMGM477zy2bNnCtGnT+Pzzz+nYsSPZ2dns3buXJk2ahGHrj456UQO+e/duNmzYUO0SNEBOTg6NGzcO/d64cWNycnL2ezw1NbXaWaUQov7ZkFXCSyu3U+IJEK/6yCss5qWV2/ktM4fvvvuOtm3bEhUVxdKlSxk0aBC6rodGwffu3cv06dNRVZVzzz0XMLuhVD7v8Xiq1ZCL+ueLL74gMTGRrl27HtP1VP2cpcU5KfEEeGnldjZkyVXS483OnTu5/PLLmTRpEueddx5bt26lrKyMoUOHous6AOXl5QwZMoRAIFDj6wFmzJjBXXfdxZQpU3j88cdZu3Yt55xzDhMnTmTq1Kls27YNMI8z1113HWPHjmX69OlMmTIlNHL8zTffcM4553DmmWdy7bXX7neSuWTJEtatW8fNN9/MhAkT8Hq9ALz55puceeaZZGRkhOKZPXs2t9xyC1OnTuXWW2+lsLCQa665hrPOOouzzjqLX375BYAff/wxdHVw4sSJuFyu0DZfe+21jB49mptuugnDMAD4/vvvQ6PJ//73v0MjzVV9+OGHjBo1ismTJ/Prr7/WuN+3b9+OzWYjMTERgM8//5wzzzwTgFGjRvH999+H1llp7dq1tGzZkubNm2O320lPT2fFihUYhsEPP/zAqFGjADjzzDNZsWIFYN4rVLlNZWVloUFbgKFDh7Jw4cJaPxsNQdhPq9xuN9deey233XZbjfWeQojjw5J1OcRF2IiLsFFQWMSXbzxFMKjx/fMGF0yewNChQ9E0jcceewxN07jwwgtDJ+XPPvss+fn52Gw2zj//fCwWC/PmzWPZsmX85z//obCwkBdffDHMWygO5Ndff+Xzzz9n5cqV+Hw+XC4XN998M0888cRRXU/VzxkQ+v+SdTnH/Sj4p59+Chz7kfC5c+fu91iXLl3o3bs3gUCAt956a7/nu3fvTvfu3SkvL+e9996r9twll1xyRHHceeed3HvvvbRq1Yo1a9Zw77338vrrr9OpUyd+/PFH+vXrx5dffsnAgQOx2Wy1vh7MAb933nkHi8WCy+Xirbfewmq18t133zFz5kxmz57N22+/TVxcHIsWLWLTpk1MnDgRgMLCQp5//nleffVVIiMjeemll3j11Ve5+uqrQ7GOHj2at956i1tvvZWTTz459HhCQgIfffQRb731FnPmzOHBBx8EYOvWrbz99ts4nU5uuukmLr74Ynr16sXevXu5/PLLWbx4MXPmzOGuu+7i1FNPxe1243A4AFi/fj0LFy6kUaNGnHvuufzyyy+cfPLJzJgxg7lz59K6dWtuvfVW3n777Wr7Pjc3l9mzZzNv3jyio6O56KKLOOmkk/bb77/++itdunQJ/Z6Tk0NaWhoAVquVmJgYioqKQgl65Wv2HThdu3YtRUVFxMbGhkb5KwdaAa6++mouv/xy3nzzTTweD6+++mro/V27duW///0v//d//3cYn5j6JawJeCAQ4NprryUjI4Mzzjhjv+dTU1OrdTvIzs4mNTWV1NRUfvzxx9DjOTk59OnTp05iFkIcmT3FHtLinAAkNW3NlBlPoxsGWSVerp5iJtoWi4XVq1dTWlrK9OnT2bRpEx06dODBBx8kJyeHKVOmhEZKAEaOHMnIkSP56aefePrpp2tMDET9cNNNN3HTTTcBZp3qnDlzjnryDdU/Z5VinFb2FHuO+rrqm4KCgnCHUGfcbjerV6/muuuuCz1WOaI7duxYFi1aRL9+/Vi4cGFofoHaXg9mgmyxWABztPVf//oXO3bsQFEUAoEAAL/88gsXXXQRAB06dKBjx44ArFmzhi1btoSuzgUCAbp3735I21GZ+3Tt2pVly5aFHh82bBhOp/k5/u6776rdI+dyuXC73fTs2ZNHHnkklENVdpbq1q1bKNnt1KkTe/bsITo6mmbNmtG6dWvAHGl+6623qiXga9eupU+fPqHEeezYsWRmZu4Xc15eXrXk+lhZuHAhZ555JpdddhmrV6/m1ltvZcGCBaiqSlJSErm5ucc8hmMpbAm4YRjcfvvttGnThksvvbTG1wwbNow333yT9PR01qxZQ0xMDI0aNWLgwIE8+eSToRsvv/nmG2688ca6DF8IcZiaxkdQ4gmERiQByrxB7BaFmcs21VgX/vXXX9OhQwcKCwv5/fffefbZZ2tcdu/evdm1axeFhYV18sUg6q+qn7O8Mi9b8twUuvwkRtvZkFVy3I+C14UDjVjbbLYDPh8ZGXnEI95VGYZBbGws8+fP3++5YcOGMXPmTIqLi/njjz/o168fHo+n1tcDREREhH5++umn6du3L88++yy7d+8OJd0HimXAgAE8+eSTh70dNpt5PFRVFU3TaoxH13Xee++90Ah3pWnTpjFkyBC++uorzj33XF5++WXAnGehksViqbbco8HpdFJWVhb6PTU1laysLBo3bkwwGKSsrIyEhIRq79l3QDUnJ4fU1FQSEhIoLS0N1bpXDrSC2fGqcpt69OiBz+ejqKiIpKQkfD7ffvujoQlbDfgvv/zC/Pnz+eGHH0I1TF999RX/+9//+N///gfAkCFDaN68OSNHjuTOO+/k7rvvBiA+Pp6rrrqKyZMnM3nyZKZPnx66IVMIUT+N7ppKiSdAiSeAbhiUeALsKHCTU+qrtS68TZs2ACxdupTTTz+92gF3x44doTrDP/74A7/fv99BX9RPffv2PWYlQ5Wfs+15Ln7dUUypJ4BFhbRYh9SCH0cqR3QXL14MmEnwxo0bAfP+kK5du/Lggw9y+umnY7FYDvj6fZWVlYWSwKptjnv27Bl6/5YtW9i0aRNgltf8+uuv7NixAzBrsLdv377fcqOioo7oBuSBAwfyxhtvhH7fsGEDYNbAd+zYkWnTpnHyySfXuM5KrVu3Zs+ePaEY58+fT+/evau9plu3bvz0008UFRURCARqvam9TZs2oeWAecJTuZ+WLl1Kv3799rsn5+STTyYzM5Ndu3bh9/tZuHAhw4YNQ1EU+vbty9KlSwFzfw8bNgyAtLQ0vv/+e8AsyfH5fKEBlszMTNq3b3+QPVe/hW0EvFevXvz5558HfI2iKKGke1+VybcQomHonBbHtMGtq3WnaBLnxGa1HLAuHGDRokX71fotXbqU+fPnY7VacTqdzJw5U27EFKHP2d2frCeg6yRHO2jXKIrkaPOGzBOhFvx45PF4qvX/v/TSS3n88ce55557eP755wkGg4wdO5ZOnToBZvnEddddVy1xPdDrq/rHP/7BjBkzeP755xkyZEjo8fPOO48ZM2YwduxY2rRpQ7t27YiJiSExMZGHH36YG2+8MVTWcv3114fKPSqdeeaZ3H333TidTt59991D3vbbb7+d++67j4yMDDRNo1evXtx333289tprrFq1CkVRaN++PYMHD2b16tU1LsPhcPDwww9z3XXXoWkaXbt2DZXMVGrUqBFXX301U6dOJSYmhs6dO9e4rN69e/Poo49iGAaKojB58mRuueUWRo4cSVxcHDNnzgTMUe477riD//73v1itVu666y7+8Y9/oGkaZ511ViiBvuWWW7jhhht46qmn6Ny5M1OmTAHMm2PvuOMO5s6di6IoPPLII6Fj/KpVqzj99NMPeR/WR4qx762qx4ndu3czfPhwVqxYQbNmzcIdjhCiBje/v4a0OCdqlcS5si78iSmn1Pq+rKwsbr31VgoKClAUhbPPPpuLL74YgDfeeIO33noLi8XCkCFDuPXWWwkEAtxxxx2sX7+eYDAoMzHWQ0f7mH2kn62GrHLEcvTo0WGO5PikaRrBYBCHw8HOnTu55JJLWLJkSbWSjxPFAw88wLBhw+jfv3+dr9vv93PBBRfw9ttv18sWjYeq4UYuhGjwaqsLbxofcYB3/TWRV5cuXXC5XJx11lkMGDCA/Px8VqxYwSeffILdbg/dlLZkyRL8fj+ffvopHo+H9PR00tPT5eT8OHakn62GTBLvY8vj8XDRRRcRDAYxDIO77777hEy+Aa688krWrFkTlnXv3buXm266qUEn3yAJuBAijEZ3TeWllWbdYozTSpk3SIknwDm9D5wY1zaR13vvvce0adNCX4qVswIqioLH4yEYDOL1erHZbNL29Dh3pJ8tIWoTHR3NvHnzwh1GvZCcnMzw4cPDsu5WrVrRqlWrsKz7aKoXE/EIIU5MlfW6cRE2skq8xEXYmDa49WHV6FadyCszM5Off/6ZKVOmcMEFF7B27VrAnBwiIiKCgQMHMnToUC677DK5cfs4dzQ+Ww3NvHnzJEEUooGQEXAhRFh1Tos74qRo34m8NE2jpKSE9957j99//53rr7+eFStWsHbtWlRV5euvv6a0tJTzzjuP/v3707x586O8NaI++TufrYaotLQ03CEIIQ6RJOBCiAZjQ1ZJqItK4xgbP735SLWJvFJTUxk5ciSKotCtWzdUVaWoqIgFCxYwaNAgbDYbSUlJ9OzZk99//10ScCGEEGEhJShCiAZhQ1YJL63cToknQONYB8tee4piSyL9Rk8KvWbEiBGsWrUKgO3btxMIBEhISCAtLS30eHl5OWvWrAn1GBdCCCHqmoyACyEahCXrcoiLsJk1vVv/IPPXr4hr3JLLzz+HlBgHN954I2eddRa33XYb48aNw2azhfrGnn/++fz73/8mPT0dwzCYNGlSjf1/xYmh6pWUqrOvCiFEXZERcCFEg7Cn2EOM0xwzSGvbhSuf+ZRzbp9N/38+yvz58xkyZAh2u50nnniCBQsW8NFHH3HaaacB5gx0s2bNYuHChSxatIh//OMf4dwUEUZVr6SkxZmT8xwvM2Q2a9bsuG2tmZeXxw033MCIESOYNGkS//d//3fAmR9rs2rVqhrnAJg3bx6zZ88+othmzJgR6sF+++23s2XLllpfO2/ePHJyco5oPX/X8uXLq8V24YUX8vvvvx/VdezevZtx48Yd1nuq7r+qavtbAaxfv57bbrsNMGc1feCBBxg5ciQZGRn88ccfNb5n3bp1ZGRkMHLkSB544IHQTMqLFy8mPT2dTp06Vdsff/75JzNmzDisbTkckoALIRqEpvERlHmD1R473vs6i6Ov6pUUVVFCPy9ZF56k6GgaMWIEI0aMCHcYR51hGFx99dX06dOH5cuXM2/ePG666aZQn//65MEHH6Rdu3a1Pv/RRx+Rm5tbhxH9Zd8E/FAEg8GDvygMXnjhBS666CIAVq5cSWZmJp999hn3338/99xzT43vueeee7j//vv57LPPyMzMZOXKlQB06NCB2bNn07t372qv79ixI9nZ2ezdu/eYbIMk4EKIBmF011RKPAFKPAF0wwj9PLprarhDEw1I1SsplWKcVvYUe8IUkTiYH374AavVWm3q9E6dOtGrVy8Mw+DRRx9l3LhxZGRksGjRIoBaH69q7dq1TJw4kZ07d+J0OomMjATMEdFx48Yxfvx4zj///P3eZxgG9913H6NGjeKSSy6pdiJQOaqsaRozZswIrX/u3LksWbKEdevWcfPNNzNhwgS8Xi/PPPMMZ511FuPGjePOO+8MjcpeeOGFPP7440yePJlRo0bx888/A+ZsnFW364033gDM0d0LLriASZMmcfnll++X5P/66698/vnnPPbYY0yYMIGdO3cC5iRl+65j3rx5XHnllVx00UVccskllJeX8+9//5vJkyczceJEli9fDsDmzZuZPHkyEyZMICMjg8zMzFCMd9xxB+np6Vx22WV4vV4ANmzYwNlnn01GRgbTp0+npGT/q04rV65k9OjRnHnmmSxbtqzGz4PL5eLPP/8MlRGuWLGCiRMnoigK3bt3p7S0dL/tz83NxeVy0b17dxRFYeLEiaxYsQKAtm3b1npP0NChQ1m4cGGNz/1dkoALIRqEE7Gvszj6jucrKe+99x7vvffesV/RPfeAovz13y+/mP9VfaxyFLJJk78eO/VU87Fp06q/9iAjjJs3b6ZLly41PvfZZ5+xceNG5s+fz6uvvspjjz1Gbm5urY9X+vXXX7nnnnt47rnnaNGiBWPHjuXyyy8H4LnnnuOVV17hk08+4fnnn99vncuWLWP79u0sWrSIRx99lNWrV+/3mg0bNpCTk8OCBQv49NNPmTRpEqNHj6Zr16488cQTzJ8/H6fTyQUXXMCHH37IggUL8Hq9fPHFF6FlaJrGBx98wG233cYzUbVy0gAA/bFJREFUzzwDwLvvvsuePXv4+OOP+fTTT8nIyCAQCPDAAw8wa9Ys5s2bx1lnncXMmTOrxdOzZ0+GDRvGrbfeyvz582nRokWt6wCzxGPWrFm8+eabvPDCC/Tr148PPviA119/nccff5zy8nLeeecdLrroIubPn8+HH35I48aNAdixYwfnn38+CxcuJCYmhqVLlwJw6623cvPNN/Ppp5/SoUOHausD8Pl83HnnnbzwwgvMmzePvLy8Gv/m69ato0OHDqHfc3JyQusGaNy48X5lPofympp07dqVX3755aCvOxJyE6YQosE40fo6i6PveJ4hs7y8vG5WdM89fyXYVVWM3lZTU3L90kvmf0fBL7/8Qnp6OhaLheTkZHr37s3vv/9e6+PR0dFs3bqVu+66i1deeYXU1P2voPXo0YMZM2YwZswYRo4cud/zP/30U2jZqamp9OvXb7/XNG/enF27dnH//fczZMgQBg4cWGP8q1at4uWXX8br9VJcXEz79u0ZNmwYQGjdXbp0Yc+ePQB8//33TJ06NTQNe3x8PJs2bWLTpk1ceumlAOi6TkpKyiHtv5rWATBgwIDQZGXffPMNn3/+OXPmzAHMRDkrK4vu3bvzwgsvkJ2dzRlnnBGanbJZs2Z07ty52nLLysooKyujT58+AJx55plcd9111WLZtm0bzZo1Cy1n/PjxNZ5Q5uXlkZCQcEjb93clJSUds5IhScCFEEKcMCqvpFTtgnJO72ZyYlePtW/fPjSKejSkpKTg8/nYsGFDjQn4fffdx5o1a/jyyy8566yz+PDDDw874YuLi2P+/Pl88803vPPOOyxevJiHH3642mt8Ph/33nsvH374IWlpacyePRufzxd63m63A6CqKpqm1bouwzBo374977777mHFeKB1RERUvyI0a9as/co02rZtyymnnMKXX37JtGnTuPfee2nevHlomQAWi6XaNh0NTqcTv98f+j01NZXs7OzQ79nZ2fv9XQ/lNTXx+Xw4HI6jEPX+pARFCCHECaVzWhw3jOzAE1NO4YaRHST5ruf69euH3++vlmBu3LiRn3/+mV69erF48WI0TaOwsJCff/6Zbt261fo4QGxsLC+99BL/+c9/QvMDVLVz505OOeUUrrvuOhISEqolbgC9e/cOLTs3N7fGZRQWFmIYBqNGjeL6669n/fr1gNmRye12A4QS04SEBNxu9yGdZPTv35933303dHNkcXExrVu3prCwMFQKEwgE2Lx5837vrbruwzFw4EDefPPNUH165bbs2rWL5s2bc9FFFzF8+HD+/PPPWpcRExNDbGxsqM58/vz5+9302KZNG/bs2ROqT6+t9rpNmzbs2LEj9PuwYcP4+OOPMQyD3377jZiYGBo1alTtPY0aNSI6OprffvsNwzD4+OOPGT58+EG3PTMzk/bt2x/0dUdCRsCFEEIIUW8pisIzzzzDQw89xH//+18cDgdNmzbltttu49RTT2X16tVMmDABRVG45ZZbSElJYeTIkTU+vm3bNgCSk5N58cUX+b//+z8eeughTjnllND6HnvsMXbs2IFhGPTr12+/OQNGjhzJDz/8wNixY2nSpAndu3ffL+bc3Fz+/e9/o+s6ADfeeCNgll7cfffdOJ1O3n33XaZMmcK4ceNITk7m5JNPPui+mDJlCpmZmYwfPx6r1crZZ5/NBRdcwKxZs3jggQcoKytD0zQuvvji/RLHsWPHcuedd/LGG28wa9asQ97/V111FQ899BDjx49H13WaNWvGiy++yOLFi5k/fz5Wq5Xk5GSuuOIKXC5Xrct59NFHufvuu/F4PDRv3ny/KwIOh4P77ruPadOmERERwamnnlrjCUPbtm1xuVy4XK7/Z++846Oo08f/npmt2U0nCaETMBDAAgqIBVRAUKzYEc/zLHd64p2eZz/Lnej9/Hr69ave2bhTxHJ2UU8Q8AALYgFBaqS39LKb7Tvl98dklySkbdhkN2Her9dCts08M/uZzzzP83kKTqeTSZMmsWLFCqZOnYrdbueRRx6Jfvb888/nww8/BOCBBx7g7rvvJhAIMHHiRCZOnAjoMf1/+ctfqK6u5te//jVFRUXMmzcP0EOETjvttHafq1gQNK25oK3uz759+5g8eTLLli3rsXVRDQwMDHoKxpx9+KxYsQKASZMmJVgSA4PO5eWXX8bhcHDJJZd02j5CoRCzZ8/m9ddfj8bcxxMjBMXAwMDAwKAHMGnSJEP5NjgiuOKKKzCbzZ26jwMHDvCHP/yhU5RvMEJQDAwMjjCMNuQGBgYG3Rur1coFF1zQqfsYNGhQtCJLZ2B4wA0MDI4YenIbcgOD1157jddeey3RYhgYGLQDwwNuYGDQI2nO092wDTlAut1MjTfIAws3MSArxfCIG3RrwuFwokUwMDBoJ4YCbmBg0OOIeLrT7eZGnu66QJii/LTo5yo9AbaU1uELKaBprN1Tw+KNpcw5YwgzjumbwCMwMDAwMOjJGAq4gYFBj6M5TzfA/lo/dQE5+nxbuZeQouILKQRllWyHBXdA5ull2ynIcRqecAPAyBswMDCIP0YMuIGBQY9jf62fVFtj/0KqzUS63YTLH8blD6NqGpWeIG6/TJbDjM0sIQgCaTYTsqqxaENZgqQ3SCaMvAEDA4POwFDADQwMehx9M+zUBeRGr9UFZEbUtyFPt5spcQXIdlqxm0UyUw62Tg7KKlkOM/tr/V0ttkES0nA1RRSE6N/JaKAVFhZSWFiYaDEMDAzaQcJCUO6++26WL19OdnY2H3/88SHvv/TSS3z00UcAKIrC9u3bWbVqFRkZGZxxxhk4HA5EUUSSJN57772uFt/AwCCJmT4qjxdW7gR0z3ddQMblD3PZ2H4U5adHwwc2l7i49d/rcAdk0mwmgrJKUFYZWJ+QaXDk0TTcZOMBV6O8AYCgLLNkU3XShaScdNJJiRbBwMCgnSRMAZ85cyazZ8/mzjvvbPb96667juuuuw6Azz//nJdffpmMjIzo+6+88gpZWVldIaqBgUE3o6je091QkYoo300/N+eMITy9bDvV3jBZDjMDs1KQJJHpo/L4ZP1+Xlm1hzJ3gLw0G1dPGGAkZ/Zgmkve3VfjJ8UsMTjHCeiJu6t31GCWBPZUeY3EXQMDgw6RMAV87Nix7Nu3r12f/eSTTzjnnHM6WSIDA4OeRENPd2vMOKYvBTnOQ5LsdlR4+OunW3FYTeQ6Lbj9Yf766dbodwx6Hs0l7w7Lc7K11EOW00qqzcSG/W5CsoqqQtAsJVXi7ssvvwzAL3/5y4TJYGBg0D6SvgqK3+/niy++4E9/+lOj16+99loEQeCyyy7jsssuS5B0BgYGPYHmlPUHFm7CYTVFlTGzpOIPKTywcBPFZd6kCTswiB/7a/3kp9savTYg24EvrJBu1/MCQopKut2ESRKxmSUA0mwmqr1hFm0oM8aEgYFBu0h6Bfy///0vY8aMaRR+8sYbb5CXl0dVVRXXXHMNBQUFjB07NnFCGhgY9DjK3AFynXpypi8kc6A2QCgs4wur/PPLnSz4Zjc3TBzErycdlWBJDeJF3ww7Ln84anTBweTdW6fqyY1PLinm4/UHyLYevH0aibsGBgaxkvRVUD755BNmzJjR6LW8vDwAsrOzmTp1KuvXr0+EaAYGBj2YvDQbdUEFgGpviLCi4AmpIIAoaNT4Qvz102Km/G05n6zfn2BpDeLB9FF5jcpURv6ePiqv0WfMkog7IKNpGoGwXkO+d5rNSNw1MDBoN0mtgNfV1fHdd98xefLk6Gs+nw+PxxP9+6uvvuKoowwPlIGBQXy5esIAvEG9eoo/JOOrV8YtokBdQEHTQAN2VXr588ebDSW8B1DUpExlut3MDRMHNworiSTuokG1N4zVJFKY60SSRFIsApc+v4pJ//NfLn1+lTEmDAwMWiRhISi33XYb3377LTU1NUycOJE5c+Ygy3rd3iuuuAKAJUuWcPLJJ5OSkhL9XlVVFb/97W8BvTzhOeecw8SJE7v+AAwMDHo0kUTLV1btocQVQAXSbBLekIIKCPUPFfAHFf6xfIeRnNkKwWCQK6+8klAohKIoTJs2jVtuuSXRYh1Ce5J3m0vcTbEILPhmb0KTdkeOHNkl+zEwMDh8BE3TtEQL0Rns27ePyZMns2zZMvr165docQwMDLoxm0tczH7pWxRVD0vQ0JVvUQBJFMiwmwgqGusemJZoUZMWTdPw+Xw4HA7C4TCzZs3i3nvv5bjjjgO6/5x96fOrcDeIH/eFZEpqAyDAleMHGkm7BgYGjUjqEBQDAwODZEAPTRiEqmlEPBaioIegOCwSigZmyZhOW0MQBBwOBwCyLCPLMoIgJFiq+FHmDpBq1auiRJJ2FVXB5Q8zf9UuLnv+G2569ftObWEfDocJh8Odtn0DA4P4kfRVUAwMDAy6ms0lLhas2s3avS40NEb3z+CqCQPpl5nCfe9voNYvIwBOq4QkigRkhYlDeyVa7KRHURRmzpzJnj17mDVrFscee2yiRYobeWm2eg+4SLU3hKZpeIIKigayrOALqyzaVMZX26u46fSCTqme89prrwFGHXADg+6A4bIxMDAwaMDmEhePLy5m1Y5qTKKedLl6RzWPLdpKQY6T1284kbGDMsl2WkEQkESBEflpzJliJIO3hSRJfPjhh6xYsYL169dTXFycaJHiRtOkXX9YRtHAIoI3rKJpoGrgDsj87bOfeX7Fz4kW2cDAIIEYCrhBlM0lLp5cUsztb6/jySXFnbpUamCQrCzaUEalJ0iqzYTdYsJmMeG0maj2hqKNVh46fySXjxvA1BG9uXzcAB46f2Sj+F7jWmqdtLQ0xo8fzxdffJFoUeLGjGP6ctdZw0izm1E0AU0TsJsEFE2PVYrkDeiRShovrNxljIvDoKSkhKuuuoqzzz6bGTNm8MorrwDw6aefMmPGDIYPH85PP/10yPcOHDjA6NGjmTdvXleLbGDQCCMExQDQFYYXVu4k3W4mP92Gyx/mhZU7DynBZWDQ09lf6ycoK6TZDjZjsZpE6gJytNFKa5UyIteSqqqUuAKs3VPD4o2lzDljyBFdJaW6uhqTyURaWhqBQICvv/6a66+/PtFixZUZx/RlxjF92Vzi4tY311HpCRLwhaJVc0RR/98siYRk1eiceRhIksRdd93FyJEj8Xg8XHTRRZx88skUFhby9NNP88ADDzT7vb/+9a+ceuqpXSytgcGhGAq4AaB7/dLt5mgGf+R/4wZhcKTRN8POz2V1BGU12mo8KKtYTGK7Gq0s2lCGqqpsLfNgNYlkOyy4AzJPL9tOQY7ziL2eysvLueuuu1AUBU3TmD59OqeffnqixeoUivLTmTN5CP+zuJhqXwjQk3bRQBAFTKKIw2oyOmceBrm5ueTm5gLgdDopKCigrKyMk08+ucXvLF26lL59+zYqbWxgkCgMBdwA0L1++em2Rq+l2owbhMGRx/RReWzY72JnpRdN0xAAT1BhQHZKo46ILbG/1k+JK4DVJEYV+DSbiWpv+Ig2aIcPH84HH3yQaDE6jc0lrkZ1waePyuMfs8cw9+NNfL2jGk0Di0nAapLQgMJcR9w7Z0ZKOh5p7Nu3j82bN7ea1Ov1ennxxRf55z//yT//+c8ulM7AoHmMGHADQPf61QXkRq/VBWSjtbLBEUdRfjq3TytkQkEWsgohVWN8QRZ3TB/WLuW5b4adKm8Iq+ng9BqUVbIcZsOg7aF8sn4/t765jk/Wl7CnysvOCg8vrNwJwILrJ3Dn9EIyHRbMkoTDamJM/3QynbZ2GXSxcNxxxx1xSrjX6+WWW27hnnvuwel0tvi5Z555hquvvjpaCtPAINEYHnADQPf6RW4YqTYTdQE9m/+ysd2vIYaBweFSlJ/O3JnHdOi700flsXhjKe6ATJrNRFBWCcoqA7NSDIO2B7K5xMXTn28HAbIcZoKySnG5h8JcZ3TF49eTjmJiYe4hHvKmibutvd8efD4fQI8NsWh6jqYMz+Z/H7yDc889lzPPPLPV765bt47Fixfz+OOP43a7EUURq9XK7Nmzu0h6A4PGGAq4ARBpNDK40eR22dh+R+xyuYFBRynKT2fOGUN4etl2qr1hshxmBmalIEli3D2eBoln0YYywopKtsOCIAjRsKNSdwBL/d/QvsTddLsZswTLt5bz/tr9nDI0m6smDGz3PPzWW28BPbMOeNNCAbW+EL/7w52MHtqPa665ps3vv/7669G/n376aVJSUgzl2yChGAq4QZTWbhAGBgbtZ8YxfSnIcR62R9Mg+dlf6yfbYWmUtGs1iVR7w0wY0r4Vj0gSfFhRWLvHhdUkkmk3sfGA26hGVU/TQgH+kp/Zv+4L/BWDOP/88wG47bbbCIVC/OUvf6G6uppf//rXFBUVGSUHDZISQwFPEPFYbjQwMEheDIP2yKBvhp2wrLC1zAPoyrc7IGMShXaveESS4L/d6Y4m70Y6aabbzUd08m6EpoUC8oeM5IanF1LiCvD4JY2TL6dOndrqtubMmdMpMnY3FEXhoosuIi8vj+eff54FCxbwyiuvsGfPHlatWkVWVhYACxcu5MUXXwTA4XDw4IMPMnz48ESK3iMwkjATQGQpzeUPN6q5bTRlMDBIHoxmOgbtYfqoPERRZFieE6tJpMqrlx2cM3lIu5XmSBK8OxCOJu8GZRWnzWRUo6rHKBQQf+bPn8+QIUOiz8eMGcO//vUv+vZt3K+gX79+LFiwgI8++ogbb7yRP/3pT10tao/EUMATQMOlNFEQon8v2lCWaNEMDAwwjGSD9hPJnxnUy8mAbAfnHNOHJy87NqamS9NH5eHyh7FIIoGwQiCsEJRVhuY4DCWznsg5cvnDqJoW/dvIq+gYpaWlLF++nIsvvjj62ogRI+jX79DCC2PGjCE9XTcmjzvuOEpLS7tMzp6MEYKSAIya2wYGyY3RmMogFg433CiixC9YtZsvtlWRmWLmuP7pWExSTNWoTjjhhA7LkOwYhQLiyyOPPMIf//hHvF5vTN975513mDhxYidJdWRhKOAN6Kq47L4Zdlz+cPSmDsZSmoFBe+mK69Qwkg26mkjpy4bjO91ujknJHDVqVCdLmViMvIr48N///pesrCxGjRrF6tWr2/29b775hnfeeadRRRmDjmMo4PU0LXEUWXLujOxzo+a2gUHH6Krr1DCSDRLF4SiZLpceIhUJFzAwaEjEuFv61iJK1n/B0s+XoylhPB4Pt99+O48//niL392yZQv33XcfL774IpmZmV0odWIIBoNceeWVhEIhFEVh2rRp3HLLLcyaNSu6alBVVcUxxxzD3//+9+j31q9fz+WXX84TTzzB9OnTW92HoYDX05VLzsZSmoFB+2jq7a6oC3TJdWoYyQbdkffffx/omXXADQ6Phs6LMy75FXXn/gKXP8yE1GqWffjvVpXvAwcOMGfOHB577DEGDx7chVInDovFwiuvvILD4SAcDjNr1iwmTpzYyPs/Z84cJk+eHH2uKAqPP/44J598crv2YSjg9XT1krOxlGZg0DrNebu/3FbFSUOyGnmmO+M6NYxkg1gxSssaJDMtORm/3VkT/cz8+fN56aWXqKys5LzzzmPSpEnMnTuXZ599ltraWh566CEAJEnivffe6/qD6EIEQcDhcAAgyzKyLCMIQvR9j8fDN998w6OPPhp97dVXX2XatGn89NNP7dqHoYDXYyw5GxgkF83dMDJTzGwuqSMv7eB12VnXqWEkG7SXrgxhNDDoCC05GT25Q3n++YsA+MUvfsEvfvGLQ747d+5c5s6d2yVyJhOKojBz5kz27NnDrFmzOPbYg/Xmly5dyoQJE3A6nQCUlZWxdOlS5s+f324F3ChDWI9R4sjAILnYX+sn1dbYRzCiTyo1PuM6NUgujNKyBsmOUUe9bZr2figu9/Dhhx+yYsUK1q9fT3FxcfSzH3/8MTNmzIg+nzt3Lrfffjui2H612vCA12MsORsYJBfNrUpZTSZOHZpNut1sXKcGHSbe4SJG1RyDZMfIa2mdtlaxxo8fzxdffEFhYSHV1dX89NNPPPvss9Hvb9iwgdtuuw2AmpoaVqxYgclkYsqUKS3u01DAG2AsORsYJA8t3TCMZX2Dw6EzwkWSJYRxwoQJXbo/g+6D4WRsnaYhjxbZhx2NRRvKGJxp5euvv+b6668HYPHixZx22mlYrdbo9z///PPo33fddRennXZaq8o3GAq4gYFBkpIMN4zmPKWAkWzXjemMilfJ4l0cNmxYl+7PoHthOBlbpukqls9dzfJXnyQUVliWZmX69OmcfvrpAPznP/+JKuOHg6BpmnbYW0lC9u3bx+TJk1m2bFmzrVUNDAwMmiOidG884GJfjZ9heXqL8bqAzO4qL6Ig0D8rxfDKx5mumrNvf3sd+ek2xAYVDVRNo8QV4PFLjm3lm62TDFVQKisrAejVq1eX7tfAoLvz5JLiQ1axIs9vnVrYKftMmAf87rvvZvny5WRnZ/Pxxx8f8v7q1au56aabohPx1KlTufnmmwFYuXIlc+fORVVVLrnkEm644YYuld3AwKBn0jA8we0PA7C1zIPTZqKX00a1NwTAqL66YmW0qO9+dFa4SDJ4FyP3UqMOuIFBbCRiFSthVVBmzpzJSy+91OpnTjjhBD788EM+/PDDqPKtKAp//vOfeemll/jkk0/4+OOP2bZtW1eIbGBg0MNpGJ7gCSqk2UxYTSLbyvXOZyFZJSgrjb5jJNt1L4yKVwYGBk2JhDym282UuPSGb529spkwD/jYsWPZt29fzN9bv349AwcOpH///gDMmDGDZcuWMXTo0HiLaGBgcITRMA7QaTMRDCtYTSLugO4Nt5gO9VkYpby6F8mQW2BgYJB8dPUqVlInYf7444+cd9555Obmcuedd3LUUUdRVlZG7969o5/Jy8tj/fr1CZTSwMCgp9AwPGFojoM1e2oJyippNhMuf5gshwVREHD5w0Ypr25MZ91oW4oDT4b4cAMDg+QiaRXwkSNH8vnnn+NwOFixYgW//e1v+eyzzxItloGBQQ+mYRxgttNKYa6T4jIP6Sl6WMod0/UqE4b31CBCS0m7kfKGU4pyWLq5wuiSaWBg0IikVcAj7T0BJk2axEMPPUR1dTV5eXmUlpZG3ysrKyMvz4jdMzAwOHyahicMznFy4+lDDlGUDMXJANpO2gV4ZdUeRuSnxbXsYUtMnDgxrtszMDDoPNpUwIuKiti8eXNXyNKIiooKevXqhSAIrF+/HlVVyczMJC0tjV27drF3717y8vL45JNP+Nvf/tbl8hkYGPRMkqGahUH3oLmk3aCssq3cSy+njVSbiTJ3gPGDsxp9r7MSdwsKCuK+TQMDg86hTQW8s8qE33bbbXz77bfU1NQwceJE5syZgyzLAFxxxRUsXryYN954A0mSsNlsPPHEEwiCgMlk4v777+e6665DURQuuugijjrqqE6R0cDAwMDAoCXaStqtC8jkpdmoC8hd0iUzsjrcME/KwMAgOWlTARcaNCuIJ0888USr78+ePZvZs2c3+96kSZOYNGlSZ4hlYGBgYGDQLtpK2nX5w1w9YQBLN1cAnV9feNGiRYBRB9zAoDuQsDrgBgYGBgYG3ZmGNcUjSbtoRJN2b5g4mBnH9O3y+sIGBgbJT0xJmAcOHGjX59LS0holURoYGBgYGPQ0YknaNRRuA4NuQiAANlun7yYmBfzOO+9EEIRW48IFQWDmzJlccMEFhytbj8aoC2tg0D0wrlWD1jCUawODHkAoBEuXwrvvQjAICxZ0+i5jUsBfffXVzpLjiKJh6SqjLqyBQfJiXKsGBgYGPZg9e+D99+Hjj2HYMLjqKjj11C7ZdYfqgF955ZU8//zzOJ1O3njjDYLBILNmzcJiscRbvh5FxJO2ZFMZZklgZJ80RMHcqXVhDQx6ConwRDcsMwd6DedqT5AHFm5iQFaK4RE3SComT56caBEMDJIfWYaVK+Gdd+Dnn+Hcc+Ff/4J+XdvRuENJmHV1dTidTjZs2MDbb7+N2+3mT3/6U7xl61FEPGkufxhVU0HTWLOnloq6ANB5dWENDHoCDa+fhp7ozSWuTt3v/lo/qbaDfoqKugDFZR6qPMEulcOgFbZuhQ0bEi1FUtC/f3/69++faDEMDJKTsjJ47jk45xx4/XU47zz45BO45ZYuV76hgx5wk8mELMt88MEHXHfddZx99tnMnDkz3rL1KBp60tLtFgJhBatJYFuFl5xUW6fVhTUw6Ak054mOvN6Z3ueGZeYAtlV4QYBeTiuiIPT41SuXy0VJSQnDhw9PtCgt8+WX8NZbsHhxoiUBEpszsHfvXgBDCTdokSMup0VV4ZtvdG/3jz/C9Onw7LMwZEiiJeuYAn7VVVdx/vnnEwwGuf322wHw+XxxFayn0bBhw9BcBz/srsUiCdTVl7DqrLqwBgY9gYbXT4SuWDWaPiqPF1bujO7vQI0ff1gmJCus2lHF0BwH2U5rj1q9uuqqq/jHP/6BLMvMnDmT7OxsxowZw913331Y2y0pKeGOO+6gqqoKQRC49NJLufrqq+MhMDz4IPzwAxx/fJsf70wFpLmcgccWbaVPuo2gonW6wrNs2TLAqANu0DxHVE5LdTUsXAjvvQdpaXDxxfDww5CSkmjJonRIAb/wwgs588wzo10qd+/ezejRo+MtW4+ioSetl9PG8QMz2LDfDYJGut3MZWP79bwLwMAgTjT1REPndRNsSMMycxsPuPCHFdLsZno5rQTDCmv21FKY62RwTs8puxoJMXz77be54IILuOWWWzj33HMPe7uSJHHXXXcxcuRIPB4PF110ESeffDJDhw49vA1bLHDbbfC//wttFArobAWk6UpNSFbYU+Wj2htiYmFOz1Z4DJKe1lYSI/93a8+4psHatbq3e9UqOP10+OtfYcSIREvWLDEp4H/84x8ZMWIEw4cPZ/jw4WRmZgIwcOBAHn300U4RsKfQ1JNmliQKcpzGRNwNOeKW8JKAptdPZ3YTbEqkzNyTS4pxWCS2lnkIyipWk0hQViku83Dj6YlfzowXiqJQXl7Op59+yu9///u4bTc3N5fc3FwAnE4nBQUFlJWVHb4CDvDrX0M43ObHOjuUqelKzbYKL06rREhRj4iQJYPkpqWVxI0HXOyp9nVfz3hdnR7L/e67+vOLL4a774bU1MTK1QYxJWHOnDkTQRD48MMPueaaa5gyZQq//vWvefLJJ/n00087S8YeQcSTZnRD694kKhnwSCeR18/mEhdPLinmgx/3U+IKUNArBZtZoi4ok2Yz0T/b3qOu45tuuolrr72WAQMGcMwxx7B3714GDRoU133s27ePzZs3c+yxx8Zngykp+k147txWP9Y0qRbiG8rUN8NOXUCOPvcEZHwhGbc/zJJNZazaUUUgLPeokCWD7kPT8Qn6SqI7IEcN04ihmG43Rz3jSYmmwcaN8Oc/68mUP/2kK91vvQWXXZb0yjfE6AGfMGECEyZMiD6XZZnt27ezZcsW1q9fz1lnnRV3AXsSRsOG7k+ikgENEnP9NAxZyEu14q6/WR0/MINeTtshYTE9gbPOOqvRXN6/f3+efvrpuG3f6/Vyyy23cM8998S3Y3J2tl7hYPJkOPHEZj/S2aFMTVdqwopCiTtI3ww7TqtEMKzw3c4axhdkxWV/Bgax0NJKYrrd1KmGaVzx+fSE63ffBbcbLrpI/zur+11THYoBr6mp4dNPP8VqtXLUUUcxbdo0zj///HjLZmCQdCQqGdAgMTQ0uIbmOlmzpxaAn8s8mCWpRyVP/+Uvf0EQhBbfv++++w57H+FwOBpTfuaZZx729hpht8NDD8Gdd8Ly5dDMscQayhRruFnT1vRWk0SG3YzNLEU/owEtn+XDY/r06Z20ZYOeQNPx2TfDzmVj+7FoQ1lCcmxiYvt2XdFetAhGj4abbtINbbFD1bSTgg4p4DfffDMTJkzgzTffZNCgQfz444/079/fCEMx6PEkKhnQIDE0NLhyUm2MGZDBtnIPZXVBJvSw5OlRo0Z16vY1TePee++loKCAa665pnN28otfwJtvQkkJ9OlzyNstKSDN/YYdTdiMvLdoQxnf7aom3W5GVbX6kCUzI/qkElS0+B1zA3r37t0p2zXoObS0kpioHJtWCYVg2TI9qfLAAbjgAnjjDcjLS6xccaJDCrjX6+Xmm29myZIlLFiwgMWLF7Nly5Z4y2ZgkHQkMhnQoHNozcvZ1ODKSbVhMUlMsJu5dWphIsWOOxdeeGGnbv+HH37gww8/pLCwMLpiettttzFp0qT47cRkgs8+02v/BoNgtR7ykfaGMnU03Ky5sCVF0xqFLeWmdk7Y0o4dOwAoKCjolO0b9ExiMUy7hL179fbwH30EhYUwe7beHt7UIZU1aenQ0VjrJzWLxUIgEGDatGnMmzeP3/3ud3EVzsAg2Ui6icrgsGjLy3kkGlzV1dW8+OKLbNu2jWAwGH19/vz5h7XdE044ga1btx6ueO3jkUf0OsBPPNHhTXQ03CyRYUsrV64EDAXcIHYSnqMWaQ//7rtQXKy3h//nP6EHN5XqkAL+q1/9itraWs4++2zuueceRo8ejdvtjrdsBgZJScInKoO40ZaX80g0uG6//XbOOussli9fzkMPPcT7779PVndLcPr1r2HUKL1JTwd7VLQWbtbaqsmRFLZkYHDYlJXBBx/oj7599aTKyZP1+v49nA4p4NOmTQPgmmuu4YMPPqC4uJhnnnkmroIZGHQnjNrg3ZP2eDmPNIOrtraWSy65hPnz5zNu3DjGjRvHRRddlGixYiMnBx5/XFfA16zp0M28pdWPsYMyWl01OZLClgwMOkSkPfy77+qNc6ZPh6efhnj0BOhGdEgBnzlzJsOHD6ewsJBhw4YxceLE7uchMTCIE0dUe9/DJNkMlY4k1SbbMcQbU32cZW5uLsuXLyc3NxeXqxvWuZ89GwYO7LAnrbWKEa2tmhyJYUsGBu2iulqP6373Xb1O98UXw1/+klTt4buSDing//jHP9i6dStbt27lzTffZMWKFWRmZvLf//433vIZGCQ9Rm3w9pGMhkpHytIl2zHEmxtvvJG6ujruvPNO/vKXv+D1ern77rsTLVbsCAJMnAivvw65uTBlSptfac64auq1nvflrlZXTQ4pRSgJ2M0i877c1SMNNgODVmnYHv7rr+GMM/T28EVFzZYKPZLokAKel5dHXl4eEydOBGD79u0sWrQoroIZdA093ZvXFRi1wdtHMhoqscZ4J+MxxJvTTz8dgNTUVF599dUES9MxGs5rJ+4Lc8GtszF9/12rCV3tNa7as2oSCVtquM1sp6nTDbZzzjkn7ts0MOgQTdvDX3QR3HUXpKUlVq4kokMK+P79++nbt2/0+ZAhQ9i1a1e8ZDLoIo4Eb15XYNQGbx/JaqjEEuOdrMcQT1rydj/66KNdLEnHaDqvbRh+AtYplzPl3POxf/M12GzNfq+9xlUsqyZdbbD16tUr7tvsDhiOpCRi0ybd2/3f/8KECXp7+NGjj3hvd3N0SAH/wx/+wIEDB+jXrx+FhYWkpaXx888/x1s2g06mIzcHY6I7lGSK+Uzm36cnGCo94Rja4rTTTov+HQwGWbp0Kbm5uYkTKAY2l7h4YOEmqj0hspwWhuY4yEm18cOl15H5ocQpfn+LCnh7jatYVk262mCLlHkcNmxYp2z/cOisuclwJCUBfv/B9vAuF8yc2W3bw3clHVLA33zzTTRNY8+ePRQXF1NbW8tzzz0Xb9kMOplYbw7GRNc8yVKqLtl/n2QyVDpKTziGtohUuYpwzjnnMGvWrARJ034i47/KEyQrxUwwrLBmTy1jBmSQ7bTywVm/4JRQCF5+GX75y0O+H4tx1d5Vk6422FatWgUknwLemXPTkRAWlrQ0bA9/3HFw443dvj18VxKTAr5ixQqGDx9OXl4egiAwcOBABg4c2FmyGXQysd4cjImuZZKhVF2y/T7NebySwVA5HJLF2OpKdu3aRVVVVaLFaJPI+O/ltBIIK9jMEgDbKrxYTJI+rykKPPSQ/oUmSnhnGFdHgsHWHjpzbjoSwsKSilAIPv9cDzPZt6/HtYfvSmJSwJcsWcJTTz1FVVUVBQUFDB8+PPoYOnQokiR1lpwGnUCsNwdjoktuGv4+FXUBtlV4qfOHQaDLQ1Fa83g1Vws5mUNnmpIMxlZnMnr0aARBQNM0BEEgJyeH22+/PdFitUlk/A/NdfDD7loALJJAtSd0cF7LT9e9dZMmQa9e0CBpsTOMqyPRYGuOzrx3HAlhYUnBvn3w3nt6GcGjjoJZs/QqQz2sPXxXEtOZe/jhhwF47rnnKCsro1+/fqxevZr777+f9PT0aBvc9nD33XezfPlysrOz+fjjjw95f+HChbz44osAOBwOHnzwQYYPHw7AGWecgcPhQBRFJEnivffei+UwDOqJ9eZgTHTJTeT3Ccn60rvVJGKWBARB6PJQlFg8XskeOnOksXbt2kSL0CEi47+X08bxAzPYVu6l0hMk22nlhomDAXhySTH7awOMufcZJpZU09TV0BnGVU832NpDZ947jFWGTkRRDraH37JFbw8/bx4MGJBoyXoEHTJd/vOf/7Bw4cLo81mzZjFv3ryYtjFz5kxmz57NnXfe2ez7/fr1Y8GCBaSnp7NixQr+9Kc/8fbbb0fff+WVV4zmP3EglpuDMdElN5HfZ0eFB6ukZ5yHFI3jB6ZjlqQuDUWJxePVkrK+YNVueqXauoVXvCewcePGVt8fOXJkF0nSMRrOT1kOK0X5Ei5/OKp8NzTyiq1FfOcPc8dj/0v+sMFw/vldKmt3WvGJB5157zBWGTqB8vKD7eHz8/USgk88cUS0h+9KOqSAO51ONmzYwKhRowAYNWpUzGUIx44dy759+1p8f8yYMdG/jzvuOEpLSzsiqkEcMSa65Cby+/zhrfWomkq63cKovmn0ctpQNa1LQ4Vi8Xg1p6wHZZmvtlVzxvDcbuEV7wkK1V//+lcAQqEQGzZsiCbybd26lVGjRvHvf/87keK1SWvz05NLips18v7r6M+sG26AQAAuu6xL5OzMFZ8LL7wwTlLGl86+dxirDHFAVWHVKnj/fVizBqZNg6ee0sNNDDqFDingc+fOZc6cORx99NGMHDmS4uLiaPvizuCdd96JNv2JcO211yIIApdddhmXddHEaWBMdMlAa8peUX46U0fkJTxUKBaPV3PK+qYDdWSmJE9CaWv0lBCaSNOdm2++mffeey+qgBcXF/PMM88kUrR209L81NKKzJrcocxasgRmzABJ0ltjdzKdmZCYnp684y3Z7h09wWiOCwcOwMKF+iMnR0+q/POfj9j28F1Jh2rFDB48mPfee49TTz2VyspKCgoKeOGFF+ItGwDffPMN77zzTqMkoDfeeIP333+fF198kddee43vvvuuU/ZtYJBsRJQ9lz/cSNnbXOKKfmb6KF0Bd/nDqJoW/Xv6qK7LUo94vNLtZkpcAdLt5hYV0ubkrfGFKcpPbfS5ZE34bahQiYIQ/XvRhrJEi9Yhdu7c2aiMXWFhIdu3b0+gRIdP3ww7dQG50WtRo/SYY3TP35lnQkUFyHILW4kP+2v9pNoaO6ziNbY3bNjAhg0bDns7PZ32zKM9mlAIPvsMbroJrroKPB7d2/3KK3DhhYby3UXE5LZ++umnmTNnDj/88APDhg3j7LPP5uyzz+4s2diyZQv33XcfL774IpmZmdHX8+rL3WRnZzN16lTWr1/P2LFjO02O7o5h6fcc2uM9S5ZQofZ6vJqT95Sh2VhMjasqJWvCb0+rDjRs2DDuvfdezjvvPAA++uijpKsrHSttrsj0q///lltgwwZ4803opOZDnZmQ+P333wNEw0MNmifZSrZ2GTt26HHd//kPFBbquQ+nn27EdieImBTwU045BYD58+fz888/I8syQ4YMYdiwYQwbNoyzzjorboIdOHCAOXPm8NhjjzF48ODo6z6fD1VVcTqd+Hw+vvrqK2666aa47ben0VOWxw10YunW151+36byRsYtJH/Cb0+rDvToo4/yxhtvMH/+fEDP17niiisSLNXhETHyFqzazbLN1WhojO6fcegHn3wSHngATjgB3n4bxo+PuyxGMnvi6WlGc6v4fLBkia54l5bqlUxeeQX69k20ZEc8MSngo0ePBuCpp54C9GSdn3/+meLiYtavXx+TAn7bbbfx7bffUlNTw8SJE5kzZw5y/dLfFVdcwbPPPkttbS0P1TdNiJQbrKqq4re//S0AiqJwzjnnHBIfbnCQI9bS76H0NGWvJZLFi98eeppCZbVa+eUvf8kvm+kW2d3xhVXGDc6K/k6HOCMkCR5+GMaNg6oqPTEN4trZrzuN7Z5Kj59HNQ02btSV7mXLYMwY+NWv4KST9DFukBR0KHPyyiuv5Pnnn8fpdLJ+/XqCwSC33nprTNt44oknWn1/7ty5zJ0795DX+/fv36gEokHrHFGW/hFAT1P2WiPiFY+EUM37cldShlD1FIXqd7/7HU899RTnnntus+9/9NFHXSxRfInJGVEffsOCBXrd41deiWvt4+62QtXT6LHzqMulh5d88AEEg3pC5dtv602nDJKODingdXV10VKEb7/9Nqeddhp/+tOf+H//7//FWz6Dw6THW/pHGD1F2WsPm0tcLFi1my+2VZGZYqYoPzVpQ6h6gkJ17733Anqjte5Oc3kvHXJGXHGF3gHwhBPg//0/vX29IHSu8AadTo+aR1UVvv9eV7q//hpOPRXuuANGj47ryo1B/OmQAm4ymZBlmQ8++IDrrruOs88+m5kzZ8ZbNoM40GMt/SOYnqDstUUkBnxHhYcMuz5N/bjXxZgBGdEKI7GcAyMRuW1y65MOMzMzsdlsiKLIzp072bFjR7cK82sp78VuFqkLyI2cEbsrvZTWBbn97XXNjwtJgrvugunT4Z13dOXb4wGns9H+kmVsXXrppQnZb1cRz3Pd7efR8nL4+GNd8XY49Oold90FaWmJlsygnXTIPLrqqqs4//zzWb58OWeccQagJ0caJB+xlIMzMEgWIuECIUVF0TQqPEHK3AGWF1cQCMsxhVAd8SXHYmT27NkEg0HKysq49tpr+fDDD7nrrrsSLVa7aakspACNyl3urPCwdm8t+WnWtsfFccfpseHBIBx9NNx/P/h8STe2UlJSSOmhJeSS7VwnBFmGFSvg1lvh8sv1pMq//hVefx0uvdRQvrsZHfKAX3jhhZx55plIkoTNZmP37t3RBE2D5KPbW/oGrZJMHrh4EQkXkASB/TV+LCYRm0nEH1L4bmcN4wuy2r0tIxE5NjRNw263884773DFFVdw/fXXc34Xt2o/HFoKNSlxyY3CDkrrgowZkMGgXro3uz3jYnN1gC8emc+4px9myD+G8MUtj5B+7LikGVs//vgjoHeP7mkc0dfxnj16o5yPPtJLZl5wATzyCNiNUNLuTIcU8F27dvHCCy9gs9m4//77GThwII8++mi8ZTMwMGiD7lRmMhZDIZK7IABa/WuKpmGRRDQglihcIxE5NjRNY+3atXz00UfRRHg1Ug2kG9Ba3ktDZ8Ttb6+LaVxErzVHFsse/D++//F7FteaGbd/NwNqS9lz/MkgCAkdW4ejgCe7IX/EXcfBIHz+uR5ismOH3q31ueegQVlmg+5Nh0JQ7rjjDqZNmxbtQFlcXMwdd9wRV8EMDAzaprt0YYx1+TjSHdMXVuibYQU0ArJKTqqV8QWZBBWt2e81R6tdEA0O4Z577uH5559nypQpHHXUUezdu5fxnVAPu7NobyfYWMdF02utbvRY5D59qNy2lzOe/QsX/v4KPB9/yqfrS9hT7YtbaMTmEhdPLinm9rfX8eSS4k4JuegO4R1HzHVcXAyPPQZnnaVXNLn0Uv3/3//eUL4b0BXXRWfTIQ+4qqpMmjSJJ598EtBbFf/8889xFcyg60l2D4jBoXQXr1Csy8eR3IUHFm6i2hNiYC8nQ3Mc5KTqykFuqv799ozZWBKRjWsAxo0bx7hx4/D79THUv39/7rvvvgRL1TpNf7cpRTkUl3lbrXARa4L6phIXLl+YuqBMms3M0FwHI/qk8pWvkIce/Tf5iz/i0g+eY+2v/4dBZokXVuzghkkFbY6f1sZcV61wdYfwjh5dUMDjgcWL4cMP9frz558Pr70G+fmJliwp6U4rv63RIQ94bm4ue/fuRagvx6RpGoFAIK6CGXQt3cEDkiiS2dLuLl6h/bV+Um2N7f22DIWi/HQeOm8ER/dLZ0R+GtlOayNvZnvHbHsTkY1rQGft2rWcffbZ0cZqW7Zs4cEHH0ysUK3Q3O+2dHMF00fl8fglx3Lr1MJWjbz2JKh/sn4/a3bXsrWsDpcvTLU3yA+7a/EFFU4dms0Bn8Jnoydz/z3/pKhoAFd89CJ33XUZex9/Flq5N7Y15rpqhasj12dX0+MKCmga/PgjPPggnHMOfPst3HijHud9ww2G8t0K3WXlty065AG/5557uO+++6ioqODdd9/liy++4Kijjoq3bAZdSHfwgCSCZLe0u4tXqKP16Fur1/vkkuJ2j9mWEpEbeh/3VPvonWo94q+BRx55hHnz5nHjjTcCMHz4cL7//vsES9Uy0Yo5ssLqnW48ARmzJPDqqt08MvOYVr/bngT1zSUunv58O2k2Ey5/mJCsEpRVUq0SW8s8PHnZscz7chfjB2ch1jullt94L/1/+IqRb/8TTnwL1q7VFa4mdZnbmne7aoWru/SL6BEFBaqr4ZNP9NhuQdATKm+5BbLan1h+pNNdVn7bokMKeL9+/XjppZdYunQpW7ZsYezYsVx88cXxls2gC+mKAd0dl/fjaZi0dPyHc166S0OJwzEUWrrpHu6YbWpcrd1Tg9sXxmkzkZNqi3l7PYn8Jt43MYkbeuyv9WMS9TrxVpOI0yoRDCt8ua2KzSWuw74WFm0oI6zo+QcOq4lqXwh/SCGkaAzN1BM7D1FgBYENI8ez94RTKBqXpyta55wDNhtcdx2ceSZIUptjOFbF+Morr+zQMRphWp2MqsI33+hK97ffwumn66UsjznGaOzUAbqLwdgWHVLAQW/GM336dKZPnx5PeZKWnj7pdPaA7kpPcjx/q3gZJi0d/5SiHJZurjis83K4XqG2YlDjcS4Px1BoSYbDHbNNjate9SEu2yq8UQW8O07qh0t+fj5r1qxBEATC4TDz589nyJAhiRarRfpm2Fm+tRyrScRmlvQXBYHMlPY3bGptnO+v9ZPtsBCUVRxWEw6rCU3TqPaGGdlH/0yrCmx6/f7feAPefBMeeACeegoWLWKAXaC6SXOghmMuVsPVbDY3et7e67e912eyrwgmHSUlekjJhx9Cdrbu7b7//kaNnAxip7us/LZFTG6NDz74gBNPPJGJEyfy/vvvA3rZo//93//t0Z0wj4TY0PZWDugoXRWzFe/fKl4x1i0d/yur9iQ0lq218xXvc1mUn86tUwtbjcuNRb6OjNmG8fyfbSolED742w7NdeiKlSfUKddAd+HBBx/ktddeo6ysjIkTJ7J582YeeOCBRIvVItNH5VHjC6Npmp6PFFYIyioj+qS2y1Bua5xbJYFaX5idlV52VXrxBsO4AzImUYiOjXbFJ6el6bG9336rK+LAdQ/dwNV/vJJh77yCrbrikDEXa9zzd999F61OFuv1257rs6fE3nYq4TAsWwZz5sCVV0JtLTz5JMyfDzNnGsp3HOgp+QAxecD//ve/88ILL9CvXz9ee+01rrnmGrZv384555zDPffc01kyJpwjIT66s0MZ4hni0ppXpyO/VWvba8nSHjsogyeXFLfbM9zS8Ze5A4wfnHXI610V9vDqqt3sqPAQVjScNhNDcxyNbqiJHvet/Z63Ti2Macw29d79XFZX39RHICfVRi+njeG9UylxBylxBZI2nKezycrK4m9/+1v0ucvl4vXXX4/GhCcbRfnpnDo0mw0H3NEKJaP6pmGWpGi1nNZobYwBHHAFUFSNvDQrLl+YXZU+clKt3D6tsZIa00pURgYAKV+txPTvDxj8ymv0W/cty/7yLL8UDjDIOqBD2924cSMAY8eO7ZT7Vk+Jve0Udu7UPd2ffAIFBbq3+/HHwWpNtGQ9kp6QDxCTAp6SksIxx+hJLTfffDMnnXQSixcvJq2Htz89UiadzhzQ8QpxaWsJtLlSYVkOa9vNNVrYXnOGydhBGTGHjbR0/HlpNupaWYLuTDaXuPhyWxWZdlM0bnbNnlqO65+OJ6h7hpsb9xsPuGIyPg6Htq69hobX/lp/VGlqy3tX6dGVqjJ3gGWbyxk9IJ0SV5AaX5hTh2Yze8LA+BzTq6/qy9DdoE9CSUkJf//73ykvL2fKlCnMmDGDp59+mg8++IAZM2YkWrxWmT1hYPQ6jnVJOhJDvqlET+B02kwU9ErBE5RZtKGMgdkO8tNtbKvwYpYkzJLAyD5pzDim7+ELbrHQ/6pL4apLQdM4RhDgN0/A7Ith9GiYNUv3mneAzrhv9ZTY27jh98PSpXps9759cO65MG8eDBjQ5lcNDGJSwCsrK/n3v//N4MGDGTx4ML179+7xyjcYk048iFfMVlveqr1VfhAgzWYiEFb4YXctw/Kc0XbTsWwvooA1NUxiqb7R1vFfPWEASzdXHPZ56QiLNpSRmaLLLghCNH52c0kdpw3LBThk3O+u9LKvxk+/zJQuiQFt69qLJSY1opBUegJ8ta0Ktz9MSFHw1iks2VROv0w7Jw/NxmySDv+YNA1eeAGWLIG//73Dx9+V3HHHHYwbN44zzzyTL774gosuuoiioiIWLlxITk7OYW//7rvvZvny5WRnZ/Pxxx/HQeLGpJhFvt1ZjYbG6P4Z7f79LJLAyuJKwoqCrGpUeQQO1PiZWNgrOmZEwRzNC1A1jRJXJ5TdjSTjPfecHrKwbBkcOKC/dscdYDbr3RDHjQNT27fuzrhv9ZTY28NC02DzZl3pXroUjj0WfvELOPnkdv0uXUFPz1nrKcQ0WubMmUNxcTEfffQRxcXFeL1efvnLX1JUVMSIESM499xzO0vOhGJMOodPvEJcWvPqLNpQRmGek+JyD0FZxWoSCcoqW8s8/Oa05pPIOuIl6sh3Wjv+ghxnQqqY7K/1M6JPKmv31Me6mkQ0TaPWL0djUJuO++IyD8N6O7ssLKWtay+WZfaIQrJur4sqT5CQoiGKApKmIQC1/nA0rvWwjklV4YknYM0aXQnvJuXFXC4Xc+bMAeDUU09l4sSJPP7443GrgDJz5kxmz57NnXfeGZftRWhohE0uyo2OkeY+15xSUusLUesLYTVL9XOGhjeov3ZUXlrMSmxclB+7Xa+aEuGSS+C99+C3vwVZhp9+0mtIOxwwdGizlTRivW+1R+7uUnWpU3C7YdEiXfH2ePQQkzffhNzcREvWCCNRtvsQkwLeu3dvTjvtNPLy9JtzaWkpW7duZevWraxYsaLHKuBH9KQTI61N4vEIcWnNq7O/1s/AXg6cNhPbKrx4AjJpNhNpdnPMoSEt3WA3l7jYU+1j7Z4aejmtDM110Mtpa3dN65YqECRiLEWO/fiBGWwr9+IOhLFIIqcOzY7K03Tc98+2MyDbAUClJ8C2ci8ufwhREDvFy9LWtReLMRRRSPbX+lFUFVEAEJBEkAQIhlW2lXvp5bR1fKleUeDPf9aXo59/HlJTO3DUicPlcqFpGgAZGRnU1dU1en44jB07ln379h2uiIfQHiOsNaVkV5U+hrxhhZCsYjWLZKWY2VXlZ87ko2JWYpvu5/HFxeSlWQkpWscV8rFj9cejj4LPp7+2bJlu6FkselnDZ59FUBQ0SV/JiuW+FYvS1hNib9uNquqG9IcfwhdfwEkn6S3hTzjhkJruycKRkLPWU4hJAV+yZAlPPfUUVVVVFBQUMHz4cIYPH86kSZO49tprO0vGpOCImnQ6SFdY3q15dRZtKMPlD5OTaosuFzdVrmPZXkvH1zvVitunVyv4flcNw3unIopit1sRiRx7ut3MuMFZ0WOfPWFg9DNNY6xdfpndlV5S7SZ+2F2L1SRilUQQhGhZxYYtwFtSNmLxErZ27cViQEUUki9+rkBWwWISsJslAmGVsKoiCOAOhFvdRquEQnDXXbqH8tln9ZrP3QiPx8PMmTOjCjfAhRdeCOghSsuWLUuUaK3SHiOsNaVEQyPFIpHlPJgsFwjJhFQtZudL0/2EFYWdlV4qPUEmFubEZ05MSdH//8Mf4LbbYNMmWL0aTCauLi2Fl16Czz+HU0+l6PLLKZpa2OYmDaWtCZWVB8sHWq26t/v22w+WlExijpSctZ5ATAr4ww8/DMBzzz1HWVkZ/fr1Y/Xq1dx///2kp6ezcuXKThHSoHtwOJN4vOrVxhoqFMsNtuHxRbzs1Z4QJe4gD503otvdqNpz7E2NqrCsJ2razCL2+pjxoKIxZkA6noDM059v58SC7FYNsHgaahEjosarVy6p8oYwSyJzzjgYctR0bI0bmMnXO6oxiQJmSURRNAJhcFhEUq2maCm4mAwqr1dXhrKz4aGH9Hjdbsbnn3+eaBE6RHuMsNaUktH9M1i9oxoEIRq25gkqjC/QQ4dicb403c+2ci9Oq0RY0eIT3tQUQYCRI/UHwD33wEUX6d7aL76Aiy/WPeXPPKPHjo8dCyeeeEgpvHj2O+i2sceKAl99pYeYrF0LU6bAww/r57YbNcsxcta6Dx3KGPjPf/7DwoULo89nzZrFvHnz4iaUQfeko5N4rApZa6EcHQkVau8NtuHxRbzskYSsbnOTqafpjfLaUwa1aXQA0WTWr7ZXYXKKpNpNjOyTRk6qjW3llYQVtU0DLJ6lIovy05lSlMPTy7YjqxrZDgu902zRxNavtlXplV5SzIzok4rLHyaoaPTNsLHfFUAOyVgkkcwUAYfVTHqKLldMIWY1NXor6REj4M47k3ZpuqfSnlWs1pSS6aPyKHEFqPaGqAvIWEwiA7JTuKrBSlB7abofdyCMRRRw2g7eajvTG/n1qlUAnHT99XD99fqLxxwDl1+u1x9/6CE9RGrECD2xc9w4GDeOASn2VhsCtYduG3u8bx8sXKh7vPPzdW/3ww8fXGnoZhg5a92HDingTqeTDRs2MGrUKABGjRrFrl274imXQTeko5Z3PJc/u0MpxUTTkcohDRmQ7eDnci/jBmc1OhfV3jDZDkujzzanbMRqqLUlb3GZlxOHZDeSZWeFh6c/347VJJJp16e5tXtcFPRKodITxBdW6JthxxeSsZtNjO6f3rHSg2VlemLcGWfAjTd2K09ZT6E9hndrSklRfjp3TB/Wrm6wVklAgxbjuZvuxyKJeAIyI/se/ExnzhnFxcUAnHTSSQdfzMmByy7THxFcLjj1VF0pf/FFLp9xIY8ecz5nvfAI/r792d2/kMreBUyfMbrd++5WYSyKAl9+CW+9BVu3wtln62FjBQWJluywMXLWug8dUsDnzp3LnDlzOProoxk5ciTFxcWYkqT8jkHi6Kjl3V1i1nqKZ6EjlUOaGh2j+6dHK01EzoVJFKK/YyRBs9ITJNtpZXOJK7rt1gyZ5jzdbcnb3PgpdQcIKyqiIOC0SgiCQCCssHpnDX0zbNhMEmMHZeHyh6Nx6/O+3BXbsvmePbryfdllMHt2u8//kcptt93Gt99+S01NDRMnTmTOnDlccsklcdl2W4Z3RCl5ddVulm6uQkBgdP+2m+g0NP7MEqzaUY2A3jV1eVkd76/dz6j8VDIdlvqVFXujPIhRfdI44ApgMUmompY8c0Z6Olx3nf4AcoEb9tewb/UI7Js3MOXrpZxfdBQZ172he4P9fr3cXsNwlyZ0i3nc69WryUSql1xyiV7y0WJp+7vdCCNnrXvQIa158ODBvPfeeyxdupTi4mIKCgq49dZb4y2bQTejo5Z3d/Esd5ZnoavjJjtSOSTymYgCccPEwQCN5J4zeQhLN1ewq9LDltI6BEHALIr0TrU28li31l20OU+3JxhmeO/G/QYaytvc+Il64wWBYFhB1TT21/oJySqlbshNtZFuN1PtCbYrbv0QfvpJT4K7+WY477zYf4QkpLa2ttX3D7cKyhNPPHFY32+L9lxHZe4gFknE7Q+xZHMZy7aUc8bwXK5qYfWjofH3zQ43kghVdUGWb/WRnmLGKol8vbOarBQL4wsycfnDLN1c0Wj8NJUrWb2RRX0zKXri3kPfGD9ej41+4w093Gr5cr1W+eLFeijLiBFw3nmdNo/HZX6sqNDl/+ADPQb+f/5Hl9vAIIF0SAHftWsXL7zwAlarlQceeCDeMiWWhQvh6KNh8OBES9It6Yjl3Z08y+05vlhuGImIm4zVA92a0dFUxoIcJw8s3ISiQpbTzNAcBzmp+nG9umo3Oak29tf6sZtFwrJCiUuObrMlT/f+Wn+r3UKnj8rj8cXFrPUECcoKVpOEoqrkp9twWE2s2l5FjS9MMKxgNomEFA1PIExFXSDqKY9p2XzlSj2O9qGH9OYbPYSZM2ciCAKaplFSUhJtsuZ2u8nPz0/qJM32XEcLVu1mZ6UXsyTgDsiAQEhV+X5XDSWuAH3SbVEvduSabWislrn91AUUAooKAggIVHpDmESBVJuJHRU+TizIBlpv5NXtmDpVfzTkrLP0hONNm/R75pQpnLTtOwbedzu7cwdS2WcgG6ecj2twEbNzZb0yUAdWyQ97ftyxQ+9Gu2KFHmayYAH06ROzHAYGnUGHFPA77riD3/72tzz++OOAHnf20ksv8dhjj8VVuITg88Gvf60nrvzyl1Af527QefSkmLVYbxhtdfZcsGo3a/e6ot39mvPUxeohitUDfcPEwdw6tTC6n9ZCNYry0xmQlcL4wVmIDeKhA2GZr7dXc8bwXPLTbY086ZFtzPtyV7Oe+TSb6ZBwl6YGWl0gzN4qL96wgoCuEJW4Aozok06KRcIdkBFFEZtJok+GHUkU9Co27Yhbb3h+J/20ktO/+BDns//X4zxoEQX7vvvuY+rUqUyaNAmAFStWJG0JwgivrtrNjgoPYUXDaTMxNMdBut3cSBFeu9eF0ypR5Q1hEkVMkkBYVimvC6KoGtXe0CGlAhsaq2FFb9ikqmASBUySgKrpnTFlVWV7hR93IEyq1UR6SmKq4Ji7qvrOwIH6o57NJS7eSh9Gxr3/wPLzVjL27WJXlZ/zTkth6OXToLRUb89+zTVw9926J9pqhaOO0rfTgtwdiivXNL129/z5esfKyy/X95eWpl/LS4q7Z5UWgx5HhxRwVVWZNGkSTz75JACFhYX8/PPPMW2jrbbEmqYxd+5cVqxYgc1m469//Ssj62PP3n//ff7xj38AcOONN0Zr1caFyy/Xs6A//FCv6duvn66Ijx/faQlW3bp0U5zo9l6iemK9YbQUDrLxgIsN+13srNTLmAkIrN5RTYkrwB3Th7WrwUhrdbWbM3jaMgbau5/mPOw/7K4hGFb4dmd1iwpS5HthRWnUGGhUnzRmTxjYooG2YNVu9tf4USNl3jTwh1X21/gYmuvEE1IYkuOgl9PCjkofkihgkQSqPaFGcesRmm11bzMxfeV79P3uSx7/xR1cltmXolZHQvdl3bp10ZKzAJMmTYo6W5KRzSUuvdKN3YTTKhEM66Uyj+ufjicoRz+noSEgEJRVLFJ9pRoBgrKC0yoRqs8ZaDjuGxqrFpOeUAkgCQK1vjBhRUVRYE+VnxSLRKrVhDsg4/bLjfIeuoorr7yyS/cXYdGGMlKddpxHj4CjR+ADcv1hNnsEpu/aBcGg7o2O3EN//BG+/hq2bdM948XFMG+eHt4yaJCulF96KaWVbvJTrWgN9tViXLmq6vXP58/XO1VedZUealIf391tq7QY9Fg6pIDn5uayd+9ehPqLSdM0AoFATNtoqy3xypUr2bVrF5999hnr1q3jwQcf5O2336a2tpZnnnmGd999F0EQmDlzJmeccQbp8SyQb7PpiVUXXQSffaZ3GzObdUV88uS4lhk7kiaF7mZodETeWBORWgoHcQdkgmGFVJsJW329bQSBam+okdLa0coDzRk8LXmg99f6Y9pPUw/77kov+2sD9MuwRRWkr7dX4bBIeEJK9DuRUJKI0WERBTwBmQMufW65tYWGImv3ugirKlZJwNRAsfKFVXJSbVxwXN/oOc50WBolh149YQBLN1fg8odbbHWvhUKMfPVpKN/PY5ffQWpGTnJWdogTubm5/P3vf+e8+tj2jz76iNwka7fdkEUbysis9zgLghC9XjaX1HHasINyR+p9SwLIit54KaRoWEwiGpBmMzfb3TVirNrMEr3TbHhDMmXuICZJwGEW8YZV/CGZ3FQLQVkFoDDPecgY6W7zXyy0Oe9ZrVDUwGR98MGDf6v6OWPCBJAk2L1bjzm/4ALG7dnA+ffdQCA9E3deX7658ibWjzyRs778AGx7oG9f/fHdd/DPf0JGBvzqVzBx4iH36W5VpcXgiKBDCvg999zDfffdR0VFBe+++y5ffPEFRx11VEzbaKst8bJly7jgggsQBIHjjjsOt9tNeXk53377LSeffHI0Iejkk0/miy++4JxzzunIobSOyaTHjU2frpcsevllvaHBrFlw7rlxqRN6pEwK3c3Q6Ki8sSYitRQOkm43sdcfIs1mxheSqfaGCIQVBEFgU4kr+v14Vh5oTfZY95NiFvl2ZzUaGpIg0D/Djs2iVyNRVI1aX5gabwiH1cQn60tYvKGUOZOHkJdmpdIT1Jf7BbBbJPZW+3lg4aYWmx1paIQVDbv54A1XAERBPz/XnjIoeo6zHFaK8qVG4S8FOc4Wves/7yzjrPlPoJnN/Gv2nXhEMyVlHnxhJebz213429/+xjPPPMPNN9+MIAiccMIJ/O1vf0u0WC2yv9bPiD6prN2jXxdWk4imadT6ZaaPyot+7qoJAylxBThQ66fEFcAsiWTYTFhMEp6gQr9MOz/srkVVNWr9IcKyxq1vrmPO5CHcOrUweq3uqPBgN4u4AwoBWSEFAYsk4grIZKfaGNknjWyn9ZAwpq6Y/1asWAEQDR86XNprNBxWAmZEUY4kdDZgxC8u5I4BR9PPV0Of2jIOZOThqfMxpmon/P0b2LJFDzk56yy9Ukt5+cEE0Ucfhe3b9VKhfftSUukmLzu10faTrkqLwRFFhxTwfv368dJLL7F06VK2bNnC2LFjufjii+MqWFlZGb17944+7927N2VlZYe8npeXR1lZWVz3fQiiqFvUp56qVz9YsABeeEEPVbnsMr2cUQfpFqWb4kB3MzQ6Km+sCaWthYOUu4O4/GEq60MlJFFAUWFvlT+6vB3PygOtyb5oQ1m79vPJ+v3RpjhZDjO902z8uM/FyHwnO6v0MV3tDaGqKn5ZpXe6Xo3EXd9Fs1+mnYmFOVR5gqzZo7e6z0wxUeUJtqiwDM5KYUeFF29Qb6JiNYmoKqTZTeyp9jHvy12kmEVCTZI+20ySq6zkipceZlvOABafczWaKGFDb66yqcTN7W+v63GeTNCrndx33334fD5SukEzksg1cPzAjEahS6cOzW70uzSs972pxIXLL5NmM5GbaqXMHWR/bQBFUanwhECAvhk2FA2e/nw7BTnO6LV621vrMEkSA3vZGJrjYFuFl2B96/oJ9UmYLn+40bXRVfPfzp369RsPBTwWo6GzEumL8tO5/rShLNpQxvdpOfTNsHPdkDQypWl6cuV558G11+o5W7t3w65dsH+/XuccYPVq+L//g337eLSsnBf/5w3sqSmc9ve5eLN6UZOaxb5TpwDH6l73zEzo3Vv/36jpb9DJdEgBX7RoEdOmTWP69OlMnz493jIlL4KgX+iPPaZ3z3rzTT1m/JRT4MorYdiwmDfZXUrwHS7dzdDoqLwdSShtSQHcsN/FD7trEAWizT8ybKZGy9vxvPG1JXtb+9lc4uLpz7eDAFkOM0FZpbjcg80kcsAVjCpI3pCMrGmk2UxkpOjxmWk2Ewdq/WwqCbOr0ocvLOOwSNjMZgJhhV5O6yEx45F9+mWVdKuEKygTklVCsorTaiIoq/ROtR6S9Am0mUzKzp3wu9+x4+ixvDlyCjYFrIKmG0R1QTJSLN1iJacjrFmzJqqAL1++nC1btvDmm2/yYMOwgSQicg2k282MG5wV/a1nN9PJsrV637e9tY4afxirSSQn1YrDakLTNKoahH0V5adz5ojeh8zZq3fouQ0t1frubvMfxGY0dGYiffQ3q6nRG+c89g6MHq2Hhg4ffvCDTRJDAX21etYsAIr3VlH85S5yCPP9zF8ilZchVZQzflCG/tmHH9YV+NJSffuffw4PPKAndPburT/uu0/3sm/dqjc4ijy6KvnVoEfR4Soon332Gf/zP/+DJOnxdu+++y4XXXRR3ATLy8ujtLQ0+ry0tJS8vDzy8vL49ttvo6+XlZUxbty4uO233fTrB7ffrldMef99uPVW6N9fb8hx8sntjhPvTiX4DofuZmgcjrzxSCgtyk/n9mmF3PTaGuoCMqqmy3Rsv/RGy9vxvvG1JHt79rNg1W7K3AFEAeoCElkOC6qqUe0N4q/V4zxH9EklEFbYUeGhd9pBhaTGF8IfVkmxiEgieAIy3kCYqrogCjAgK4VAWG6UVAe6MjAw20F+uo11+1yUuQMoqoYkCowblMXgHCdwUHlYsGo3vrCKqqqUuAKs3VPD4o2lzDljCDOO6atv9Pvv4Z57YM4cqm3DGF7podQdxB0IUxeU6eW0kpNmOyRhr6co4I8++ijz5s3jxhtvBGD48OF8//33CZaqZdoam82FUQCHvHbmiN58sr6ELIc5mt8UlFWyHZZGivIh3S5NEtlOC76QwsJ1B8hLs3H1hAGNxkN3m/8gdqOh0xLp9++H116DRYv0HKx58/SKKjFS1D+b608zsWhDGatMY+k7Tv/dB0Vk/vTTgx+W6+eZyy+H44/XlfLSUl3R3rJFD2+prNTri7/4IowbByedBL166Qr5BRfonvnXXoNQSH8tP1/fVjish7caHvYjng4p4AUFBYwdO5Y5c+bw1FNPYTabWbBgQVwV8DPOOIMFCxYwY8YM1q1bR2pqKrm5uZxyyik88cQTuOqXmL788ktuu+22uO03ZlJT4Re/0K3spUvh+ef1zlpXXgkzZugJna3Qk0rwtUZ3MzSSQd6i/HTOO7bvITfupsvbXVVBprX9bC5x8cW2KsyigCCArGjsqfIBGggCeakWSl0BtpV7yE/XkzEVTU/gDsoq1d4waXYTuak2huY6+GxjGTW+EFaTyOBeDkRB4LudNYwvyGq034iSIApmphTp15qqabzzwz5K3QF+rvCQZjOT7TBT6QmxtayO3qk2gvW1v7MdFj38ZVl9mMEPX8BTT8Ejj8DYsUwvcfHCSh9F+Wmk2kz856cSzKLI0BxHVIZk92R2hPz8/EbPxTgmnncGkbHZtFRmYZ6DpZsrGoVRPLZoK6Ig0D8rhfx0G7sqPdz671Iy7CZqfCEUVSUn1UpQVgnKKoOyUw653hrO2VZJwGE1MaJPenSuWLq5Ihq2Askxn8RKwo2GzZv1MJPVq2HmTHj7bb32+GHQ7rkyUrO8qKhx8ig0XxddlnUFvqJCV8wjYbL798PGjfprVqvehfPBB/VV9Kws/fHJJ7qS/uijeuhLVpYe0z52LCxbBk6n/lqvXvr7Bj2GDinggiBwxRVXYLfbufHGG3nmmWfQNK3tLzagubbEcr3VecUVVzBp0iRWrFjB1KlTsdvtPPLII4Aen3jTTTdFY85/+9vfHnaHtrhgMunJmtOmwdq1epz4c8/pE8ell7Y6cXTnEnztTdLpboZGssibqBt3W79r0/cr6wJkppjxm8T6OssQVlUUVcNmktAQ6J1uQ9M0BEEgy2Fhb7Uv6jEPKxqaqjE010Evp43eaTZCsoooCqRY9HASDT25siHNKQm7K72EZBV3QI/xrfWF2FziJtthwSyK1PhCer1oqwlBEEizmaj2hNj/16co2vm9bkQXFACHjoNsp5XeqVZyUg8a1snuyYyV/Px81qxZgyAIhMNh5s+fz5AhQxItVps0F7P89OfbKcx1NgqjqPaGABjVN51KT4CtZR4AVA2O7pPKmvqqOn3S7QzKTkEUxUbJnNB4zn5ySTFmk9RqqEZXzSfxjNlPyNxTWqo7sj77TFdaZ83Swz6SPRfBZNJrmjctRnHHHYd+du5c+NOf9JCamhq9ikttLZxxBlRX6w+fT//s//6vnkRaXQ3HHQfvvKPXUl+xQlfKMzN1Bf7HH3XlPiMD0tN1Bb5vX/j2W/15err+eYfjUHkMEoagtaE5FxUVsXnz5kavXX311bzyyisAfPrpp7zxxhuUlZWxePHizpM0Rvbt28fkyZNZtmwZ/folyMuwZw+8/rqekX366fpkMnRoYmTpBBre8Jq2KU9Wxbo70tXly9r6XZt7//Mt5YzId7Kryh8NO6nyhtEAk6iXeOubacdulqgLyhTmOlm3r5Z0u4WQrFLtDWGSBE4blkMvp43PNpWiKCrekEKa3UyazUxBTgphBR6/5NhWZf1mexW90yyU1uke9Iq6AL6QiiTqRsCBWj8WSUCSRPpnpiD7A1yxZD6DPJWc8P4r+o2qg+emJ1BdXc3cuXNZtWoVmqZx8sknc++995LZyd63w52zn1xSfIgx9vH6A2Q7LEwY0ouKugDbKrxsLXVjEgWmj+rNtnIvgbCC1STiCSpMHZHHzgoPpXVBBmSltOt6u/3tdfWrMAfNQ1XTKHEFGo3V7kiXzD3l5bqnd8kSPQb79NN1D/MJJ3Soe2aPx+XSjZOaGl0xnzoVNmyAjz7S33O59NDYAQP0JNXaWv21iy7SV/fOOEOvyZ6RoTsa3ntPb1S0dOlBBf7qq/X66d98o7+WlqZ3EM3IAEXRy0UaHDYxje6nn36aOXPmMGfOHDweD06nk7POOgu73d5iPe8jmgED9GY+N94I774LN98MQ4boceInntjtY8C6W2WT7krTFZLNJS6e7MRubm39rs29n5lipsQVZMyADNbvcxGQVQR05VsSRbxBmT3VPnqn2chIsVDiCmASpWid5oq6AKt3VLNhv5uJhVYskognrHJsv3SqvGG98siBOkb1STvk3DT1LPbPtjO8dxp9PEG2VXjxhhQcFinqPfcFZfwiWCURwe3m2veewZqdydd3PMIJrSjfLe0vmVdyOkIwGDyk7GBFRUWCpGk/DWOWI8q2yx+m2hMi22FhZ5UPa4MqOT/sriUoK+Q49XATp02/HQ7s5cBilrj2lEG8umo3t721DgGB0f3Tmd1MJ9qEh2p0Ip22OltVdVDp3r5drzJ23XV62EUnJjT2iFrsEY92Q44+Wn805auvDn3tvfd05d3l0hskgZ7TVliov1ZWpofUVFfr4bS1teB2w5w5cNNNkJene+hTU/Xf7e239fCZL7/UX0tN1T33e/bo3vnIa6ecou9n7Vr9eVqafhz27n+ddJSYFPBTTjkFgFdffZWff/4ZWZYZMmQIw4YNS9oM+aQgPV1vDjB7tr609n//dzBO/Kyzop26uhvdMbO/u9MV9YTb+l2be78oP5Wvt1djMUmkWCQkQajPQxaQVRVRgJCsUukJccKgTL7ZUd2oBXxOqo2xgzNZt89FiSvAqD5p/FzuYUup55CmPE07DDZUEjaXuFi1o4pPfyoly2lhaI4DASh3B3AHZEyiQL9MG3urA6S5yrnp3ZfYWHA0b06YySlBrV3dC7tzyFh7mDx5MtOnT+eRRx7BVp/DcsMNN/D+++8nWLLWiSjCIVmJlrDMSjFTXhdi1c5qchxmMImkmKVokmUgrOCu7245st64qwvIWCWBxxZtZU+VD6dVQgNW7ajm53IPQ3OdhBQtqsAlU3z30qVLAZgyZUqX77tVFEWvHLJmja6obd2ql/W96irdGdUF98DOnDu7lWKfkaE/GnLCCfqjIX366Kv3Tamo0BXwujr9dwXd03700fprdXX67xkKQUmJ3uW0rk4vUpGdDddff/BzZ5+tN1A65xw9jMbp1Ms6r1ypGwqvv66/5nDAbbfpcv/rX/pzhwOOPVZ/rFmjOzQdDl3fysvT68MnuZMzJgV89OjRADz11FMAhEIhfv75Z4qLi1m/fj1nnXVW/CXsSVgs+kCbMUPv3LVgATz7LFxyCVx8cbdLsOjJnp/OpqMTdmevOmwucbGn2sePe2qjCmxOqq3R79rc724zmzhlaDbpdjP7avz4Qnr8tSgIeIJh9OIlKqk2CbMkYZZE7GaRVTuqqKwLEKz3mPfJTOHaUwZRlJ/OPe+tJyi79Xhtm4mRfdOxmKQWjzVyg81Ps+LyhXD7w6zZXYvDIrC/xo/FJFJRF8RhlTglUMJvFj3HW8eeyc+TzuKkPqmYTVKPKynYEQoLCzn++OO54ooreOqppxgwYEDMOT6JoGGjHKsk4A8pVHnDOKwSlZ4g5arGcKeNUUf1osYb4se9Lmp9MiFZ4+g+qaiaxvKt5dT4wqTZTHo5ywadaANhleIyD0FZZWJhTiMFLllWRVprbtelyLJeLWTNGvjhB1i3TlesxozRK4ucdFKXO546a+7sbk3mDpuIotswnnzkSP3RkGOPheYaeK1Zc+hrr7+ue989noNe+aOP1vPnvF79YbfrFWQOHDj4miTp+5k7V19J8Xr1yINly+CWW/R+LRFZV63Sy0f/8Y8HlfobboAzz4S779aTZFNS9JWACy6I2+lqjZgU8BUrVjB8+HDy8vSEFIvFwsiRIxnZ9MQbtI4g6GWLxo3TY7HeeENP1jz9dF0Rb9INLFlJJs9PPOgqL0ZzE/bji4vJS7M28qw1t+/OXHVoSYEtzHMiSWL0d23pd4/ccFbtqCIk6zHXJknAapbwBGRkVSXFot8ALxydz4Jv9mKSBFz1SZFBWSUkK9z673XMOWMIIUVjYmHOIbG1zR3r5hIXDyzcRJUnSC+nlSE5Dqq8YfbX+KjwqGQ6zCiqRpU3yFE//cjN37/LG2ddw48DjmZcnzS2VXjxBGTMksCrq3bzyMxjDvt8dlcEQeDKK69k+PDh/OY3v+H222+PeoyTlci16wmG2V/rxyxCSIFeTgvpdjNhWcUfVhlSX71mR6WPNLuZfpl2eqfZWL+vli3lHvJSbZw8NItvd9ZQWRekX6Yd6hVwvQSm3nW1aQnKW6cW9kxlq734fHoc8o8/6o8NG/QkwDFj4Pzz9cofCXYwddbcaYRixoG0NP3RkOaSWkGv/96Ud9899LX/+z94/PGDynrv3rrS/fDDB18bNEj3lGdk6J1UKyoOlaMTiUkBX7JkCU899RRVVVUUFBQwfPjw6GPo0KHRmuAGMVBQAPfeq8dWLVwId96pJ4FdcomeXGG1drlIPbWySWt0hRcjcl4/21SKRRIZ1TcNUTATVhR2Vnqp9AQP8azFK960Pb9pwxuJ02ZiW7kuU2ldsFEb+LZ+9zSbCafNRK0vjKYJIOhKndNm5m+XHkNRfjpPLilmzIAMvttdg6yCrGrYzRKm+jnk6WXbOX5gBnUBmbCiNOpw2DQOPPLbVXtCZKXojXt2VOqdESONVOxmif3VPq7YsoKpP/2Xv0y/iZ8cvaHKw94aHylmkT4ZdtDgy21V7QpF6alEvN3HH388L7/8Mr///e/ZsWNHgqVqmYbX7vDeaZS7g+yu9pHjtEQbPWU6LITcQTYecCMrKhV1QWRVxSSm4LSZSE+xkA7RnIReTh+1vjAVniBOm36t+cMKFpMYjRUHXYHbeKBzczKSkvJyXdFet07/f88evRHdscfqHu5jjz0kTjnRYRqdtWJrhGImKYKg609W68HE+sxMaK5LbIJyGGNSwB9++GEAnnvuOcrKyujXrx+rV6/m/vvvJz09nZUrV3aKkEcEmZl65vFVV+mJE2+/rScynHuu7hXv27dLxIhVEe0p8bBdEdoROa/U17/+YXdttDuk0yo161mLR8vn9v6mkRtJpScQVXizHRbS7aZmO9+1dF5G9kknxSyxs8pLiSsAGuSkWhg3SJ8En1xSzAc/7icv1YrNJILVVN88B0KKqpcFrK+gsrfax85KL5IArkAYf0jB5Qvxyfr90cY5kd8uy2khGFaiIQPbyr1Ue/VjCAZC/OqLNxlesYuHLvgDO6RUFFVDEMAkaPjCKntr/PROs5GZcmjHzSOJF154Ifp3bm4u8+fPZ+3atQmUqHWaXruj+qaxvdyD2x8mM8WihzcJAicWZLK11EN5fRhS7zQ7kiiwansVNb4QqqZhM0sMzXUwNNdBqctPtTdEICSjoTvKLJIUrQFf6Qnw7c5qDrgCrN9XS4pF4me7hQ37Xdw+rQd5xFVVX96PKNzr1uke72OP1Uvj3Xmn3pGylZCSZAjT6KwVWyMU06CjdKjGz3/+8x8WLlwYfT5r1izmzZsXN6GOaERRT0459VQ9Xundd3XFfMQIPR7qpJPa3WWzI3REEU20ZyMedLYXo+F5TbWbCYYVrCbhoGdXFBAFWLWjCk9ARhQ0vEHlkHPakVWH9v6mfTPs7Kr0sLXMg9Ukkmo14Q7IuP1yTB5h/Ubn4/iBWY1udCcNzY7ehPNSrbgDMi6/TEhRSLWaUVQVq0kkKKtkOcyEFI28NKteL7wugM0kkeO04Aoo3PP+Br7eVsXsCQOjv112iplvd3l0RcokIkkCTouZATaNU19/GhGNv178B/aFRFA1Uq0SnpCCiAAihBWVKm+IMwflHpHeqw8//JDzzz+fTz75pNn3x44d28UStY+G127EeBRFqPGFCSkeJFEgL82GRZLISbORVj/+bWYJX0imxhcmKKuk2kwEwkrUMD6ufwbbKryEVA0BgZOGZOEPq1hMEuV1flbvqKGiLoiqqtQFNFy+MG6/TKUnyIJVu5kb5zCm9syzafFYPpdlvQnOmjX6Y9063YN43HF6lZLrr9fjbGMIS0qGMI3OWrHtaaGYBl1HhxRwp9PJhg0bGDVqFACjRo1i165d8ZTLAPSSPb/7HfzmN3q5phde0DtoXXSRnnXcCTF1sSqiyeDZiAed7cVoeF6H5jj0Kg2SgMsfwmqSqPKE6kv2CYiCxu4qP5IkYBI55JzGuurQ3t90+qg8bv13KUBUEQ6EZCwmiT+8tZ7R/dPRoM049ZZudA1vwtkOC9srvATDCv6wAipYzBJpdomgrDIwKwWLJPDjXhdV3iA2k0iqTaLGJyOJoKiw4YCbxxcXU+oOsHpHFb6QQopFRFHBG5IxKSLXD7Nw9P88yMasAbw7+QqcJjPWKi/UeztlTUOAem+4SLrdhNVkIje180qhJSt+vz4evF5vgiWJjci1W+72s3pnDWFFJRBWCCmg+sI47Sb21fjYW+1jYHYKo/qmsXaP3km5yhNCFEAUIMWi3w4tksCG/W4Kcpw8fskxzTagWrKpmlSbiYq6AIqqh4kLokBAVlBVjVU7quJ6jO2dZ2fOnBn7xkMhPWZ77Vo9YXLDBv3eE4nffuCBVmvjt4dkCdPojBXbnhSKadC1dEgBf+SRR7j55ps5+uijGTlyJMXFxZiMgvmdh9WqV0855xzYtEnvhjVzpu4lv+QSGDUqbuV2YlVEE+HZ6AyPe2Geg6c/305YUcl2WPTGGqIYNy9Gw/Oak2pjzIAMNh5wIwp6TPNX2yqxWUxYTSK7qwKYRIEcp5UdlT6G5jjYUeHhD2+tZ+qIvHYdb8NztKfaR1hWGNTLGX2/ud+0KD+dfpl23P4wnqCiDylBwG4WcQXCrNpRjQCMHZzZ7tCkhq3BNx5wcWy/dEKyws4qH1kOM96ggKzqCZh2i0RmioXeaTbqgjLekIJZElA1ffl/f22AFIuEgEiKxYQ7EKauPnHSG5RRNXAHZCT0zx/rK+PEP/+Z1F9eybt9J1C9vZpME/TPsFPmDhJSNPLTbNT6ZQT0haVUm/mI9V5dfvnlANx8880JliQ2po/K4/HFxfywuwZNUwmEVWQVREAG3H6ZLIe+8nSgNsDgbEc09MvlD6Ghh5Y4rSZkVUNVNRC0Ro2nms43EYWyuKwOUQRRENAE3ZAzSUK0tGEstDavxXWeDQRg/fqDHu7Nm2HwYDj+eD1++7jj4p6I1tPDNHpKKKZB1xKz1qyqKosWLeK9995j6dKlFBcXU1BQwK233toZ8hk0ZcQIuP9+3TP+0Ud6S1uHQw9PmTYNbLYWv9oexTXW5bSu9mx0hsd9c4mLpZsrKMx1UuoOUO3Vl5LnTB4St0m16Xm1mCQKcpxRua+f/x0uX5i6oIyiafTJtOGwmKisC+D2h7FKAqqmtut4m56jUFiviwwwINtxyG/acFy4AzL56TYG9XKyakcVJlE37EKKRo5Tny52VPqYUJANtB2a1FCOn8vq+G5nDTaLhNUkYjObSbGY6J/loHealRL3we6DP+ys4ucKL96QTCCs6O3sNfCHFOwWgYwUM3VBGadFosobIqTobe/DsorVLHK2ewdXfvovnpt4OTdccgVzGyhSm0pc+EIKIVnFYTUhigIVnhDWemOouWYrRwKRHJ+WuO+++7pIktgoyk8nL01PVg8p1BttGooG9TYkoiiQYpGorAuyvLiCwb30MWc2SaiKRt8MG5IoEJRVCnOdDM5xHtL1teF8YzeL1AVkLCaRQEhBFbRo2WFZhcyU2G6tbc1r7Z1nFy1aBMD06dMb7yAU0suwLV4MX3+tJ/8ff7ze1vzYYzu91bsRpmFgcCgxK+CiKLJ8+XJ+85vfcPbZZ3P22Wd3hlwGbZGerjf2mTVLbxf7zjt62Z0ZM/SkzQEDGn28vYprrMtpXe3Z6AyPe8NtDs7RvcQuf5jiMi8z4iN2m+d1RH569Dx+s6OKQFjRQ0BklVRb5FgtLR5vU49371Rr9LORYypxBzGbpEb7bk1Zr/OHMUsCIUWPqbaa9NwDT713ry1Dq7nkuFXbqzlQ42doroNAWMHlD6OqGlvLQoiCyLWnDGJHhYcXv9hBilmPQ9dUDW9IQaoP0enltCAIgt5gpy6I1SSRZjNT4wshigJnb/2a2Rs+Y97Mm9ndd2j0XDVt2LNg1W7W7nVhkkROGpxFhsNCUNFYtKEs+psdSUTKya5Zs4Zt27ZF5/ZFixYxZMiQRIrWJiFFozDPyc/lHkyiQCCse7YBVA2qPSH8IRW7WcJRX8Vk1Y5qHBYRn6pxwBXAbtYNw+IyDzeerh9vS/NNWNbHbu80G/trfCiavh+HWcJuljhpSHZM8rc1r7V3ni0tLT34RNP0+O2FC2H5chg6VHfS/PGPXV4SMBnDNHpC7pJB96ZDcSOFhYU888wz/Pa3v036+rA9HlHUEzNPOkkvUP/++3pL36OO0sNTTj0VJCkmxTWW5bSu9mzE4nFv7wTbVV781lrKWySBMncQslIoyElh9Y4aBMAiCmiaRkjRGNU3rVnZmirRa/fU4PaFcdpM5KTqxxVpr/34Jcc2kqnpuGiorEfKBx4/MJ1t5V4CYb3rWaQMW2uG1uYSF59tKgUNUu3maEOf8QWZLNlUTrUvjN0s1Yd+CFgFEQSBF1buZFtZHSlmSY+HFwUyHBZMAZmgLGM1641R+qRbWfGzl7CsL/mnWixUe1R++d2HjNu7kadm3ckOWyYOReWDH/cD+liNHHNkTPzt0oEAvLByJxaTRLbT1O5VlZ52A7/wwgsBeOONN3j99dejYYWXX345V155ZSJFa5O+GXbCssL2Ci9uf5iGfYMEAWQNgrJCnwwb6SkWJhRkU+raTY1P92KHFRVZUQlIIoW9bdHfsaW5ocQlc8PEwby6ajeugG5Eplgk0u0WejmtzJ4wMCb525qDYppnw2F4+WVd8RZFPV/ozTf1RjgJJJ5hGod77fWU3CWD7k2HFHCXy8V3333HG2+8wTHHHMOwYcMYNmyY0Qkz0fTpA7/9rZ6lvmwZzJ8P//M/cNFFVAtDyeib1+jj8VAyu9qz0V5PUCwTbCLiE5vKVxeQUTWNsKwQVmBCQRYasHZvbVQJ7uW0NStbUyW6l9OKyx9mW4U3qoC3dDzN3fgjyvq1pwzihZU7MUtSI6OgKD8Vlz/cogIQOTaLJKJpGsF6r/qYARlYTSamjcjDF1bZUeEhtV6ZDyoaYwbonS731Pjpl2Gl1B0CdK+3xSQQUkROLshic1kdu6r0REG7RQRNwFPr4Y7/voLDX8dd59yKIKTirQuQYjbRO80abXakahoDsx2NxkSKWexQ5Z+eegN3uVx4PB4y6ttV+3w+XC5XYoVqg8I8B4s3lmIS9bEkoIefaOj/COilPwVBYGiOg4q6AO6AjKKqOK16kyZZhVSrhNpAeW9tbijKT+eRmce0Sxls6zPtmYNSzCLf7qxGQ2N0/4zGYy0chi++gG3b9AYjvXrBQw/FNT8oWYjHtZcMVVkMDDqkgBut6JMciwXOOkt/bN0K77zDDW8/z66jjmH35HOoKBgOghA3JbMrE1Da6wmKZYJNRHxic/INzHaQbjdz69TC6OciNxuzJKFqWrOyNVWih+Y6+H5XDdWeUIvfidCWgnHQuJKjRkFI0Ui3m1s0tCLH1jfDxuqdNaiahlkS+GF3DSP66NsEuO2tdfUechMj+6SRk2qLflbRBPpk2Kj2hgjKKmFZw2oSyU23U+nVK8dU1AVxWCRSvC5++9HfKc/I5akzb0EWTAiKiqaBOxAmrKoMcPup9Ogtjo/plxE95wDf7qxmclFj72Cs4TU96QZ+ww03cOGFFzJ+/Hg0TeO7775jzpw5iRarRRrncJio8uoeaT05EiRRRFH1GvtjBmSQk2pj1Y4qNE1D1aDMHdTjxAWQVRND81Kj225ubthd5aVPuo3b314XVaYbXrPNydeWwliY5+DpZduRVY0sh5neabZo99mG359clBu9ngG9PveHH8Knn+qJlMOG6fHdv/pV553wBBOPay9ZqrIYHNl0SAGvqanh008/xWq1ctRRR3HWWWdFly8Nkoxhw+Dee/FdejU7n36Vsa88jWC1sn78FEpGnshlYzu37X28l+nb63GPZYJNRHxie+Vrj2xNleheThvDe6dS4g5S4gq0ejxtGR8dMa721/oxS3qyZrbDgico4wvJlLoC3DJ5aHR7Z47ofYjyv7vSS5rNxJ5qHylmibw0C4omcKDWz3H90km3m/EEFdJsJjRNw7ZnF/cufZEfR03greNnYFFVzMCB2gCiqHs8PQGZRRvLsJkE8tIbG5ypNhMaupESywpIT72Bq6rK4MGDeeutt1i3bh0At99+Ozk5OQmWrGWa5nBUe4LsqvZjlgQy7GbCioY3GCbLYcZi0g3Zklo/sqK7ugVBD5eWVQiGFXJTD3Yfbnj9bSpxcaA2QJUnSLU3xIg+qY2U6YgsTee6thTGiAExrLeTEleAKm8Id0BmzhlDol1jG61wEaLoxxVoLz0E5qBeHeuf/4T+/cn+6KOuPPUJIR7XXk+vymLQPeiQAn7zzTczYcIE3nzzTQYNGsSPP/5I//79+fTTT+Mtn0GcGHZUP9S7b2LRTzMRf/iOk9cuZ8ZX7+M4cLaetDl0aNz32VnL9O1RCmOdYLu6jFQs8rUlW3NKtCiKjdrHt0RnGB99M+ws31peX+lEItNhicaPf72tiuIyL/tr/fgCYTaV1iGJAtkOCylmke2VPsYMyOCoXIUf97rYVeWnoJeDot6pHNM/k4q6ALX+ECUuhXEHNnPd0ldYOv1Klg4+nmynlXS7qb4hShhvSEGJxBNoEJA1KtxBKuoCjUJzRvfPiHoU27sC0lNv4KIo8uc//5kPPviAKVOmJFqcdrG/1o9JhB92V1PiClAXCIOqoQh6Z1WTKJLttHJMX92A21/rR9E07GaJkKphEgUEQW/EpLfcOdRxUJjnYE+1D5MYJK9eQV+7x8XxAzNIt5tZsGo3vrAanet2Vni49c1S+mfb2Vfj59h64zFCQ4WxoYIeKRXaMAl8f62fwUKAPj+tp8/GNfTZuIbSYUezcPwMFp96CvvdQSzf1SB8V0NQGUDfDHtMjbOaI5nzG+Jx7RlVWQySgQ4p4F6vl5tvvpklS5awYMECFi9ezJYtW+Itm0GciSpyZw4DZkN5OXzwAdxyC+Tn64r45MmtthSOhUQu0yf7BBuLfG3dDA9XiY638TF9VB7vr91Ppl33UgdllaCsMijbzhfbqjhjeC5mCbaUeZBlFYfDTLU3zHZfiKP7pkWVkOENKsMA7KzwsH6/C38gzOk/fs6FPy3jr2deT7+Tx3OMKEbPwSfrSzBJIooqR8NfG/6/8YCbiYXW6DlvznvZ1vlL9vF1OEyYMIHFixdz5plndoske4sksLK4Ek9QxiLp8goigEaa3Uxuqo2CnBTCiv67LdpQhqpqBBUVm1lEVTXCih6ikplipqwueIjj4OnPt1OY6ySsaDitEr6QQo03xOKNZRT0clBRF2TSsFzS7WYq6gIUl3tAAJcvjEUS+W5nDeMLhGZzMvbX+qnzh/hskxtvUMFhlShINZG9fQsfvD6PCzauJc9bjWvEsZQUHccPF/+KrUGJraUeTgwqmERYvaMaDRhf0HaN/rZI9vyGeFx7yViVxeDIo0MKuNWqewAsFguBQIBp06Yxb948fve738VVOINOJjcXbrgBrr0WVq7USxk+8YSeNX/RRXpS52GQyGX6ZJ9g2ytfLOUjY0386sxjO2VoNhsPuPEEFZw2PcZ74wE3mSnm+lKLbj0B02bCapaYUpTNJ+tL8IWURtuKjJdrTxnEjQv24Xb5uWH1OxSU7OTuc26jOj2bUIWXxy7R235X1gUorwsQlNVoIp6qgVkScVolUutDEpoLzYnl3CT7+Doc3nzzTf71r39hMpmwWCzR5MU1a9YkWrRmEYBqb5CQoqLWlwMEkASocAcJyioHav1k2M08tmgrqVYToqDXCvcEFEySgCQK2E0iqTYz7oBMv8yURo4DTzDM97trCCkqpS4NWdWwmfUkY3dAptwT5LudVaiA2x/GaTWRbtdr1Y8ZkMGq7dWHGH4RhdEbCPPVtkqGuss47sAWhu/aREHpDipy+2E+5SS+nHktn2pZHDcoO1rHf+ueKgrznKTbzWwqcUcrE/m3fUdqmo30PqM77OhI9vyGeF17RvMcg0TTIQX8V7/6FbW1tZx11lncc889jB49GrfbHW/ZDLoKSYLTT9cfe/bAu+/CVVfByJG6V/yUU/RyVjGS6GX6ZJhgW1OC2yNfR2+G8fRiRY5h4wEX7oBMut3EiPz0VhX6qyYM5LFFW6n2hqjzh9l4wE2pO8Dpw/RYYncgTKpVn34idcWzHGaqvKFG22mYEJrm93DLZy8QMFn4f5f+kczMNLIAT1Dm1VW7+XJbFZkpZo7uk8r3e1woGlglgVSLCUEQyHJYsFskThuW22rSXHtJhvHVGaxduzbRIsTE9kovAVlPum1QwARFA29Iia5+yLLCriovqqZhNUmYRAioelKxBfCEFHAHyHRYotV5ACo9AXxBBUXT6JdhZ1uFBzRdwbeYJIJhBVGDUneQITkOSl0B/PWGZEaKhV5Ovfzmur3uxoZf7zTYtInj33uZWRu+RTNJbBwwgsXDT2btqVdhycrginEDsQLHVnga1fHvl2lnYC8HoF8/TqsEgBTyovrDh+Xo6A75DT312jM4sohJAV+xYgXDhw9n2rRpgK6If/DBBxQXF/PMM890ioAGXcyAAXDrrXDTTfDZZzBvnl7K8MIL4YILICur3Zvqycv07aE5JfixRVvpk24jqGjt8kp39GbYEcW9OWMB9BrZiqKyr9pfv6weIsUs8cJKX4sK/Y4KDzsrvbj8YUQBejms2M0SvqCumKTZzIfUFe+dZsNdP0YOGS8bN3L3m4/yVcEY/j3uPCwWEw4gEFYorwuybHM5QVnB4w+hAnYThBU97lsUFHo5LSiqRpbDEj2u1kjmGNiuwOVysXv3boLBYPS1sWPHJlCiltlT7cMkQFhrUHqwHg0IyCqSACV1CgIgiWAzSyjqwU8rql7ZJ8ViwhOQGyXlbiv3kp5ixu2XMUkidrNEIKzgDSn0y0xBA0yiQLknSI0vRFhRCckK/rDCkBxdSbaaTEwdUV8tZfduWPim3pVSVXGJg3n58lvZ4sglKKt4gzIOi0hQPngkTev4P7mkOOrccNpMBOuvJam+c+3hODoS7TgxMDhSiEkBX7JkCU899RRVVVUUFBQwfPhwhg8fzvnnn8/gwYM7S0aDRGC1wrnn6o/Nm/XwlIsuggkTdK/46NFt1pftycv07aGpEhySFfZU+aj2hphYmNMur3QsN8OGSuOmA26O7Z8GNJ/41dx3m/OYR2pkbypxYzXrSZWBsEKpO0hRflqzHTkXrNrNR+tLsEgifTJsmERRjwHPSKG4zEOW09psXfG6oExBrxS+3VmNPyyTYjHRJ93K9r+/Qq+l7/DvUy/h8/yRSBp4vSEq6oJomp5EF1J0JcsTUlEUFUkUSLVKeEMKJkmk1i9z8pB0bplyVJvjL9ljYDubt99+m/nz51NaWsrw4cNZt24dxx13HPPnz0+0aM2iqnqIjNZI9T6IrGjUF+1DAxRVXzVRVA1JBLtZwmaWGJLjJBCScQXCjZJyKz1BrJLE+MGpVHn11wUBLJK+Krivxqe/BlTUheqVfBFRgO0VXsySSFpdLZcGf4ZX/gwVFXpHyr/8BUaMYPUL3+D2h+lXf43vq/FFY8EjNL3mGzo3Cnql8N3OGjT0uviyqh6Wo+NId5wYGHQVMSngDz/8MADPPfccZWVl9OvXj9WrV3P//feTnp7OypUrO0VIgwRTVAR/+hP8/vfwySfwyCN6SMrFF8PZZ4PT2fJXj+Clwqbe620VXpxWiZCiIgpCu7zS7b0ZNlQaTSJUeYJ89GMJg3s5OKa/3sSnNS9WSx7zSI3shsvcVpOoh5C00JFzR4VH72IpQKkrSH66DatJxBdS6J9tr69E0biueEhWEAWB3DQ76SlmVu+oQXS7mbX8PXIqDnDbmXMQB/THUVZHtU9voKJpepiB3mRFJaBomERdwdJjdE3YzCYG9XJQlJ9Gut3crrGY7DGwnc38+fN55513uPTSS3n11VfZvn07Tz75ZKLFapEB2Q5cvlCL7zdVyzV0pVwFRE0fzxaTGH0vxWJu5DjIdlrpnWplcI6TTE+AMneAak8IkySwp9qHP6xgNYmYRQEVGNTLQSCsILhdTFj3Pae89z3HBSspLjqBd0ZORx1zAtOPyY+OpasnDOCvn24F9EZAFpNIjS/EsTlpLdbxb+jc8ARlxhdk6fkO28EqiYdlLCbacdKR1acjfcXKoHvSoRjw//znPyxcuDD6fNasWcybNy9uQhkkKampcPnlcNll8MMPulf8H/+AqVN1Zbzw8ONquzNNbwIWSYguZVfUBdhR4UGpb1kdKYXXVjhJe2+GEaUxJCt8s6OakKwQlFV+rqijLhDm2P4ZiKLYoherpVCXSI3syDK3zSwRlFXSbOYWO3KGFBW7WUJRVUyCQLUvRL8MO1XeEBOG9Go2/vrJJcVYTFI0QfP40q1c9unLbB5+PD/d9RgHtlSRHVbJdtrwBr14FF3xBlA1DXdAQdXAJBJNxHMHwphEgfX7ailz+Umxmtt1Y+4OMbCdicViiSbah0IhhgwZws6dO+Oy7ZUrVzJ37lxUVeWSSy7hhhtuOOxtXj1hADfvrI7pOxGlXBIgJGuIgkpxWR2aBicNyWrkOIgYli5/mJ/LPNjMEllOC95gGA0Bp9WErGpogoBdDTP4hzWctnMNoyt3UDFqDCtOPotFRx+PMzUlakQ3XFGZcUxfAF5ZtYcyd4C8NBuXj+2HL6S1es0359xYtOhA9L3DIVGOk46sPh3pK1YG3ZcOKeBOp5MNGzYwatQoAEaNGsWuXbviKZdBMiMIcMIJ+qOyUi9l+PvfQ14eXHIJTJkSt1KGnUW8PSbN3QTK3EFUTSPVaqK4TE/cUlUNp9UUbc1uqU+qao323AwjSuN/t1RT6wtjNUmki+AJqlR6w+yorxQSa6hLpEZ271QrxWUegrJKICTjN0l8vqWcU4ZmR2sOR2RIs5mRFZVqr4okagTDKu6AjFkSW4y/jnzX6nFz9sJ/cvTuDbxzzq/4sc9wplqsZDssVHvDqJpKSNG7YgoCBMIqcr0X3FTfUEWtf26WRAJhBUkUqPXLmE1iu27MR3oMbO/evXG73UyZMoVrrrmGtLQ0+hxmRSQARVH485//zL/+9S/y8vK4+OKLOeOMMxh6mD0I9tX4Wgg+aRmtfow4LHqXTE8gTFDR0DRYsqmM2S+u4t5zDtbRt5tFVu+s4kBtgP6ZNk4aks3avbXRROJAeSVnfLuICZtWsSenH3VTp/Px+Hup0kxsKnEzIjXlkBWVV1ftJifVFp2DWqrbH5mr5n25q825avr06TGeiY7TGV7njqw+HekrVgbdlw4p4HPnzmXOnDkcffTRjBw5kuLiYkymDm3KoLvTqxdcdx1ccw18+SW8/bZeyvDcc/WY8X7JFzfYmscEmu9m19b2Hli4iSpPkF5OK0NzHfRy2iArhbCs8HOFl7Cq0jvdhjcoYzNLoGlsPOCmIMcZl9jKiNJY6g4goOENyciKhkkS6JNuRdFa94q1FOrS8Jz4wgplrgC1skp6ioUxA3UDInLuIjIMzXXww26986DbH9bLwmkwZ/KQlg2ANCt9l33C+CXvsnLwGB775UP4bSk4zXrYS366DbdfpsanoKEhIqBpehxuUFYBEEQBSRDQFBU0Pc4X9BhfQDdK7OY2b8xHegzss88+C8CcOXMYP348dXV1nHrqqYe93fXr1zNw4ED69+8PwIwZM1i2bNlhK+CvrNoT0+dFAAH6Z9gRRIFAWKaiTgENLBJoCKzeWcMDH27k6pMGsnRzBel2M1OK8vhsYyn7agJUe8txB2REYEbx11z2wyeUnDiJJ2bdQ6B3PhMLc6LjJt1ualRVBSAQlvl6ezVnDM9t1WubrN7dzpKrI6tPR/qKlUH3pUNa8+DBg3nvvfdYunQpxcXFFBQUcOutt8a8nbaWIx955BFWr14NQCAQoKqqiu+//x6AoqIiCutDHvLz83nuuec6cigG8UKSYNIk/bF3L7z3Hvzyl1QPKGDpyIl8128EfbKcSRGb15LH5NVVu/E36GYXy/JntSdEVope2eOH3bUcPzCDLIeVEpfMgKwUhuSksKPChy8kU+EJYpGEaKwp6CEYh+NJKsxz8PSy7bj8YRRVj4WWRBGrSaS8Lkimo/UVibZCXSL/N6y+0PScRhTXdLuZ0QPS2XSgjqCsMbkom6smDIy23W5q4Fi3bOKMh//C7pDEI+fOQRw6hPIyL0JAjiZoiqLInMlDeHxxMTU+0AQNp1UPg7GYBDRNb7qSYTezu9qHqmgIAoiCnqDZJ92GqrXvxpzoGNhEUVtbe8hrkTnW5/NhOcxVrbKyMnr37h19npeXx/r16w9rmwCVdcG2P9QEq0lkZN80vt5ejSco6ysmJgGzJOp5CbLK7iofr6zaw4j6/IFKT4BgWKmvcCLjFFSuWv4mhdV7efTi28kbNYyUoMzQdFujcoOLNpRFr5lKT4Bt5V62ltZhMQmEFQVRMLfotY3Vu/vee+8BMHPmzJjPSSx0lte5I6tPR/qKlUH3pcNua4vFwtlnn83ZZ5/doe+3Zznynnvuif796quvsmnTpuhzm83Ghx9+2FHxDTqT/v3hd79jy/lX8MU//s0J/3mXEzwv8dP4ySzYM5HZZx+XUGWmJY/J0s1VjB+c3aHlzyynJRojDXrpsqJ8Pbyksi7Aqh3VpNpM9HJaCcpqfXiHvs3WPEntWebdXOJi6eYKhvV2sqvKg6zpiYgpFgGTKBBWNFIsbV/qsYS6ND13+2v9TRRXmdOG5UZDThZtKONvnxWzr8bPsDwnA7Id+Ktq2XjL/zFsyw/8dNEv2TBqPKWlHmpKPIzqk0pGiiWaoJliFvnv1kpy0mxkpZjYVR1Arq9iISJiMUucOSKP7RVeanxhJFEPQZEVPTihLiiTndp6Imqs56KnMXPmTL2aiKZRUlJCWloaAG63m/z8fD7//PMES9g8WqzxJwIoisrX2/VqO7Kq6fkEqoYo6BVVzJKANySztbQOtz9Eut2CNyiTnmLBG1Lw13m4fdk8fCYL9577exzpaWh1wRbDSF5YuZMab5AtpXXRc5xus0SN9V5OG0FZZsmm6kbXeqze3db6ccQzZKSzvM4dWX2KZ1dhA4OupEMK+KpVq/joo49IS0vjqKOOYtiwYRQWFsbkIYl1OfKTTz5hzpw5HRHXIEF8+nMtrpPPwDNlGpl7tnPUF4u57n//SMXSMXDnb+DYY9ssZdgZtOQxERAOWSpu7/Ln0BwHa/bUAnpr7EpPMHoTeHXVbpoeZaQCcWueJGhdOY/QcBv5GXaqPSH8YQVPUCEQ1rCYRJwWiXjQlrepqeLacKnaXV/arbjEzQnrv+TUJW/zRX4Rc3/xIOOPG0wekJeeEt3+rVMLG30/y2misi7AmgM+bGYRq0mvGOEPKRzdJ5Vsp5XVO6tJtUogCFhNIhV1QQQBwopG71TrERVKEisRBfu+++5j6tSpTJo0CdD7Pyxbtuywt5+Xl0dpaWn0eVlZGXl5bddkbwubWSQcVNr+IHqSriiArEBQVnBYTITkMBp67kBYUTFJIiZBIKRoOCwi1vpcgj3VPvpn2cHv5/7PnsedmcO/Jl8FCjgsJtLtpmaVuYhh+sDCTSgqZDnNmEQhWrN7W7kXgNU7aki1mQ4pA9qwJjl0zLsb75CRzvI6d2T1Kd5dhQ0MuooOKeD33nsv99xzD+FwmK1bt7J06VK2bdvGkiVL2r2NWJYj9+/fz759+zjxxBOjrwWDQWbOnInJZOKGG25gypQpHTmUI4qutv4beklqBgzh2ytvQrrgKrL+u4Rxf/6znqh5ySVw1lmQktJpcjSlJY/J6P7pMd/sIjeinFQbYwZksK3CS7UnRLbTGp3YQ4rG2MGZ7Kj06eX8bCaK8lMJKXqVA7ME3+xw4w6ESbOZKchJYX+t3O5l3obnOTfVhqpqBN0KoHd/tEgCroAcTZZsSNMxUZjnoLjM2+IYidVD1bA6y45KLwWlO/nlV29jtlpYceM9vFGXgtDEPGlo9DQ8B5WeAKXuINmpFoJhFbtFwiyJzDg6kw0HPCxcd4CwolKY46BPZgrbKryEFZVaXxhBgJ/2u3BaTTyxpDjayTOyD8MjdpB169ZFS84CTJo0iccff/ywt3v00Ueza9cu9u7dS15eHp988gl/+9vfDnu7sTTpjXTL1NATeAEy7SZq/HI0VyHFopfMzEwxM2ZABjurfFhNAjaTSEWNj5uX/ovqtF4smPILZE0gxSIgCAIuv9zifovy0xmQlcL4wVmIgkBFXYA1e2qxSgIuf4gN+/UmQSP7pFHtDbKt3EulJ4jNLNE7Tc8nOZx8hPbOJe29R3RmnkRHVp86s6uwgUFn0SEFvE+fPlGF96yzzoqrQM3xySefMG3aNCTpoBfvv//9L3l5eezdu5err76awsJCBgwY0OmyJBvtnTATYf035yWpFm0o58yEKXfCd9/pSZvPPgvTp+ulDAsKOkWWhrTkMQEOa/kz22nFYpKiyYuR8xo5DxMKsqPf21Wpt5aurAtQ7Q2Tk2ohM8VCIKywekcNEwqy2r3M2/A8D811sK3cg81sIsUikZOqh7wMy3M2e7NtOCZ2Vnh4b80+xgzIYEC2g50VHm59s5T+2fZGredb8zY1HY8bD7jo5bSwfcsebvjvO4zau4m3T7yAzweP4Zysvlj9hy6ZNzR6Gp6DbeVerCaRNJsJT1Bh6og8dlV6+HpbDScOyWb84Cx2V3pZu7eW9BRLo+dDeqVQ6g4RVjX2VPlIMUs8vtiFqmkMzHYYHrEG5Obm8ve//53zzjsPgI8++ojc3NzD3q7JZOL+++/nuuuuQ1EULrroIo466qjD3m6oQcfItjBLAoH6z5vqm/AIgkDfDCvl7hCCKGA2ieRYJSYW5pCXZifTYeGn/S5CssKVK97ErIR5atIViAqEFBmzIlIXCBMMW5s1ciM0vE4jBvvGA25EQSSkqIwdnIkgwA+7a7GaRLJSzNT4ZFRNIywrlLjkDucjtGcuieUe0R3zJIxkTYNko0MK+AknnMDLL7/M1VdfjdDBEIJYliP/85//cP/99x/yfYD+/fszbtw4Nm3adMQp4LFMmImw/lv1kggCjBunP8rL9aTNG2+EQYN0r/hpp0EnVtZpyWNyw8TBvLpqN0s3VyEgROO0W9vOlKKcRjV8r54w4BCv8QMfbmRXlZdAWMEsimgCnDKkF95AGFUNUeoKUOMNoWi6l67aG6Kwd1q7lnkL8xw8/fl2wopKtsOCqb7Mg8UkYDNLjOqbRpbDesiNpumYKK0L4rCaKHXr/xeXe+pbz+udAR9fXExempWQotE3w861pwxqs2LDgco6hny2jPu+X8w3o07mjyfdT9BiwyrAhv1uejmtqJrWfPt5Gist7kCYVKuJoKxG29eXuPRY8MgxDM7Rm0KVuIOYTRKldUHGDMigxB08pJNnoL599zH9MgDDIxbhb3/7G8888ww333wzoM/38fBUg+5Nj4S2xAtFbb8CHmnvbgIcVjNmSa+mEwhrFOQ6efKyYynKT48mGwPREKYrf17JOPde7p5+C64QSHIYBDBZRexmkfK6ABf/YxUFvRz85rSCaH3vCE3nQ4tJoiDHGVVkXf4wm0vcWE0Hx2mW08LAbEc0JKst+rVQdao9ISOx3iO6W56EkaxpkGx0SMPZvn07xcXFvPjii4wcOZKioiKGDx8ekze8vcuR27dvx+12M3r06OhrLpcLu92OxWKhurqaNWvWcN1113XkULo1sUyYibD+2+0lyc2F3/wGrr0Wli+Ht96Cxx+HCy/UH3HwvsWCP6wyfnB2VCF8bNFW+qTbCNYrng1XGSIJkCPy0xg/OIu6gMzSzRUU5Dijn9lR4WF3lRdFBYsk4Q3JoGmEFRUVyEm1sK/WT1jRyHSYMYsCX+2oosYXotYnU5jnZGAvR7Me+cj+C3OdlLp1b7qswtF9Ujl2QFb0cy5/+JAbTdMx4QnIpFol3IEw2yp0b7PVJFLpCfLDrmp2VnpxWE2cPjynWWOv0XjUNEYWr+HCt/7FBiGV/5t1J3V5fUnxhQh4wzhsJkKKyu3TCqPf3V/rxyoJ2M1itOZxYZ6DpZsrAEi1mnAH9GX+kX30BMEqb4jsJhVeBvZyYDFLPH7Jsdz+9jry0238XO49pJOnPyTjCSos2VSG02ZiaI6DbOehhsqRRkZGBvfdd1+ixWg3itJ+BVwQ6m96gkC6TW+g4w8rBMMKBb0yDxl3Nd4g3+6qZnjxj0z4bimv3fAAFi0FhydEWFVIsZjwBWVcil7f32ISKHEFop0tGyrhbc2HL6zcSaUnGK2m5PKFcNrMrN5RBQLtCo9qKRSzPSEjPd1DfKSXFzVIPjqkgD/99NOAXhpw27ZtFBcXs27dupgU8JaWI5966ilGjRrF5MmTAd37ffbZZzfytG/fvp0HHnggmk1+/fXXH3Yt2e5ILBNmoqz/mLwkZrPeVXPqVNixQw9PuewyGDuWnadN5wNTX/bXl/eKV6xu05CJirpAI6MmJCvsqfJR7Q0xsfBQxbM9RtArq/aQ6bBG39te4QFNY91+F/0zU9jlCZFuM6MC2Q4r+2v8WEQRVYNhvZ1sLfNQ5g6gCQLpdlM0QbPp/gfnOKn0BPh2ZzVr9rmo8cuM6JOK1WRq9kbTdEw4bSbc9c/rAjKioLG93EddUG+iY5EgpKh8s70Kp81MIKzywMJN0coPkfGYtWc7Y959GYuvjh9m3cA8OY9Um5lQUCbLYWXc4CzMktSoNXyk4kvEg57t1GVeurmCKUU5FJd5SU8x4/brBkm2U0+oNEsivdNsVNQF2FbhpbIugDeokGKR9O6a9d1Im3bylASBWp+MJAo4rRLBsMKaPbUU5jqjXvQjlZ07d/LPf/6T/fv3I8sH45rnz5+fQKlaIZLR3AY2k0i200JYVgnIKvL/b++8w+Oozv3/mbJNu9pVX8m2LHfjQq+mY2Ps2BhTk5DgEFLITQKhhRDIBS5wgZCQECD3JnCpPyCFToLBxJiAKQYM2BjbwkLuluVVX2n7zuz8/hjtWr1Lu7LP53n2sbU7O3Nm5uzM97zznu9rGORkWXHqOnHdoMjtINu+v98dUuzkpc+qyanew0/e/QsPn3cFn4Wt5DtlSvMdVOxrIRTTiWimi4pVlbEoZjqJ06by5JpdnaLg3V0P207UbAjEsFlkkMyJmrIEkiQNKj2qL8GQAz1CPBrTZgQHNgMS4I2Njbz++uvYbDamTp3KokWLBuQ72tXjyKuuuqrd3105nxx11FH885//7Pf2DjT6c8EcdaP/SZPghhvgyivZ88zzNN1xDwukBNtPW8jnh5/Cw6tDA7oZtRXcNkVirz/SLgf4vcp6TpyclzqmlbVm5DSmJ5AlqZPA7ssgyNccoci1P0prU2Vimk4wqjOlyEl5dTMWRcKmKtS2RDGAYo+NQFRnQoELw4CKmgAnTMpPCYTkzbjt9usCET7d2YTDopDX2s73Kxs4ZUp+l8eqY+pKlkWmOqox3esiGI2zsz5MTE/gsimEYglCCQOHRaIpohGK65TlZVEfiKbaMtUIcsijf6Zs60Y2LP4m2+bMpSmWYI6mE2r1V++p73U3mKnwBVOP3zsOmK6cO5nnP60yc2llaAiYaTwOq8L22gDBmE7CMNpV8jRaZ+K5bCqqDFEtgU01C/pU+AL8+IzJ/epTBxpXXXUV3/zmN7nooouQ+zPDMU1IfRTgesIgz2lld0MYu0XGY7dw3MQ8Ptxaz9h8G+XV+ydCF7ttrPqyjtNKbJz++KP8dc75rPOUEoxoSBjkOW2oikyWVSWmxTBaCz85LAoOq0K2TcHXHOnXfswo8XDbOTN5ePV2ttUG8LSmWcV0g6PLPFgUpdf0qGeffRaAr3/9612u/2AvQDXa0mYEBzYDEuBXXHEFc+bM4W9/+xsTJkxg/fr1lJaW8vrrrw91+wQ90J8L5qgd/Wdl8dyEE/D/8iim7K1k2uoVLHv9Wb6afTyfNJ3JjMuX9NnKsGOO8uqKWgIRjRKPPVUMIzfLQnl1C163OYgJRDRUGdz2/YOctgK7L4Mgr9veGlmWCcU0YlqCxmAcm0UmYRiUuO34AlGsqkQgmmBcrh1Flslq9RTf1xwhrie6jLK33X5ykmIophFLGGZKS5YFg85VMLtKXWmWJS45oZRQzGDDHj+KImHFHBhEtUSrdVuCbLtKwjCFQYHLRlEiwr47fsslG1bz+vST+ecVv2ZXRKJ+kw+LInPl3MlMKnT1mlvfl8FMVzfQDyrraQjGzEGVRaHIbUOWJPa1RJlZ4iau6RRk2wnFdZojGh6Hyp7GMCdPzUeRJSprgq3CS8WTZcn838Qwo6oq3/rWt9LdjD4j9zEEriUMovEEuVkWVEUCyfwt5TgtVPsj2C0K2TaVSFzny30tBENRrnnpET4rO5S3phyHFdNxxR+OE08YFGWbg2TJXBUA4bjO2FwHdYEYcT3Bz5/7vF9P7JLX6eue3UDCSOBxWJk91k2By07CMHpNBwmFQr0fsF62PeruEQLBKGVAAjwYDHLFFVewcuVKnn76ad544w2+/PLLoW6boBf6e8EcraP/pDCrnTKT2ikzsTc3MumDVRz+2APw+mOwaJH56qXsfccIazK6W1kbpDDbFH4zx2TzfmVDalKgpTWF4dBx+49bW4Hdl0HQpXPG8+vXtxDVzLzOhCFhsyjkOS28X9nA7DHZjMl1UJbvZPNeP80RDS2RSOU5NwTjnfKck8L0+ydPSG3fH46h6wl8LTGK3fZUasV7lfWd3Bk6pq6Y348TihlcM38aVU1hVBne/aqOUEzHaVOJxHQiWgIMA0WSIRjkmzs/4Kg1/2LTIcfgfPF5HPvibFy1FS1hkO+0Uuy2m2kkdM6t7/hIvb+PwJPR8Pe21uPNtuGyKRRl21OpaYGIRrZdpdqvdZrA1raiZ4HLntr/jhU+u9regW5ZeMYZZ/DMM88wf/78drUdcnJy0teoHlBkyTTx7g3JjFIfU5aLosipvvf1h9YQ0xK0RM3BsVU1vb8vevd5dvtjPLZgCVZVIqYliGkJEgaEYzrjcuypyZKRuI5hGNhUmUBEw9cS4biy3AG568wo8TB/pjfzUwYFAsGgGJAAt9lsgFkNMxKJsGDBAh599NFO6SOC4ScdF8yRFiIdhVnEncua05biWXABh43T4bXX4HvfMwX4woWmg0oXEzc7Rljddos5ES+yP8/VpqqcMsWshlnVFGbWGDe+5igWRSFhGJ0Edl9s+Sp8QcZ47GzY00Q8ARZVZqzHznET87CqZi70wtleUxR3keesylKnyHDyZtx2+7Ik0xiJU+y27y89L0nYVIlb/7GZ8XlZqQlm/9q8DwzIdliYUuikMNveZWT/9OmFKVu0cEyjqimMEQjy7V0fsXjT29QdejQvXnEHjB/PoqIiKj6vYJrXxb6WKIGIxr6WKMXZtnYlvaHrXPn+VrRLPs3wZttojmi0RHQsSow8py3llDJUKVkHUxGPl156CYBHH3009Z4kSUNSjGc4UPqQJaNKYFEgGNP5qjbAkaU5qc8kw8Dnj2C0hrGDUTjjyw+YtXMTvzrnWmRVQdMNQlEdu6pQlG1lrz/KzoYIEwuyWHrEGJpCMT7d2URE04nqCY4ry01Ngh6Iu87BkA4iEBzsDEiAf+9736OpqYlFixZx0003ceSRR/ZYAldw4JAOIdLjzajEAzNnwtVXw4cfwr/+BX/+synGTz8dTj0VJk8GSeok5KcUOVmz1SwRX9MSZvPeFhpDcU6ekt/J6aSnpwzdDYLaHquJhU42VTdjs8jkO01LveVf7GNcjp2SHAfXzJ/W7faunDeZN8tru7XqS25/4WwvP3rqM+wWGcMwiGoJ/KEYSBL1gSjHT8xjR53p9W23yDgs+ycfHjU+B6uqdIrsexwWjhzvYfPeFizNfm7e+T6Hf/wWNYcdw7+vu5OqnGLT97y1qM2mvX72NISxWeRUBL7CF8AfiTO5MKvLgkNtj2N3/uy/enED63b7Ccc103kipuG2W5g91s1Ur4tPdzbhdqg0BGMosgwGlOVlDVlK1sFUxCNTS84PlpgGFjVBbUuU17/YxweVdVy/cDqBmI4hGWi6gZ6AI/ZV8K1PXuWupVdTNLaImpYogXgcRZHIsilkO6xMtlmIxHRkSUr5/584ReXyUyfy6Hs7Bu0mItJBBIIDnwEJ8FmzZpGTk8Nll13Gyy+/TEVFBX/84x+Hum2CDCQdQqRPNyNVhZNPNl+aBuvWmZaG115rfj5nDudPmcWfAnmQn9uaXqIwscCJTZF4v7KB3CwLJ042o9JtBxUDfcrQ9lhtrm7GaVWIxBPs9Udw2y3YVNjXHEU3aJci0tX2JhW6+lT8xmNXCcd14gkDt91CwmEhrps+2bIkpTy+LYpZatumStgUiU92NCJLEqX5Du5bWcE0rxOHRebjrbVMqarkyj2fMWfPRpxnL+Krq5/mszrZbIvD0q4tzRENJLC35q8nXUd0PZEqtZ3Ms00WHOp4rjt6i9/7RgXb64KoMjQGY9QHYiQSBqok8enOJo4uy+Hoshy+8gWIxhO4HRbcdpWJha4en87057we6BZtHamoqKCyspJYLJZ679xzz01fg3pA60P6iWaYJegj8QR2VUHHYK8/wg3Pf0HCMIjFDawWmUPrd/Dz1f+Pu0/7Lrs8RSwt9fDpziZiegK7ahbxSdoDJjBzssurm5k1xpP6HQyVm0jb/pn8jSdtErvr1xMnTuzXNgQCQfoYkAC/8sorU48pkxfl9evXD1WbBBlMuoRIv0SwqsKxx5qvn//ctDT88EPK3n2TWz7+hB3ZRXw5fgaRI4/mG0tOY0VFI0UeR6f838EMKsqr/azc7EtNpKpriVCYbWNrbRA9YaDIEppuoCW6rlLZ1/3v+EQirpkR7SOL3ZQVOHn9i30oshntB1qL2SgEYwmOLsuhsiaIrzlMYyjO6dMKGZ/vZEddgHfe+Ih52z5h6Za1xOwOvjzyFMY/9CTTZk1kKnBNN+30OFT8oRiRuJ5yFjEMA4vSseB839zjVmz0UReIkm1XqQtEsakKYBCIavgjcUo8DiprgpwwKR+LojBnckGfCpb0lwPdoq0tf/zjH/noo4/YunUrp512GqtXr+boo4/OWAEe66MPeLL/GRhEtASybM4D0RMGsgxH7drIT9/9C/97+ncoL56CEU+wZms9gYhGKKYRjEKWVUnZA2bbVNx2C9l2SztBPNTpI/156jjURY4EAsHw0S8B/tprr7F582aCwSBbt25l4sSJKZuqm2++WVgDHgSMOiEiSWYKyuTJ8O1vkxWPM/OLL5j50Ufw8XL4630E1TxCUw+hfuI06idMpaWgeFCDiuQN06JIYMhmUY2w6aVtUWQU2SCmJ1AkGJ+Xxfh854C31fGJxISC/ZUgrRaFPJeVErctNdHQbbfgD8dxt04+LHDZeXtLDcXEOWX3F4xb/jGnrFtHLBrn4+nH8sw3rmJn3lgCEY3tW1q4a1bP7ZlZ4iHLorCvOZpKNZmQn0VFTYDDx3nYVhci0OrLPaMku1fxVNUUJqrpuO0WoloCa2vCr6rIZlVDw8AfjuEPxwctctraUxqQqvi5cLb3oMrJfeONN3jllVc499xzufvuu6mrq+P6669Pd7O6xWjtQvZ4BFcsTF1WTpfOSLphFu2pC7RWuARUEkxoqubMyo85ecd6/nT2T9hcUIYRimNIZkVaWZKwKjJawkxTsSjmuruzBxzq9JGhfOp4sEwkFghGA/0S4EcffTSxWIznnnuOu+++m+3bt+N2uyksLMRut/e+AsGoZziiOyN6Q7BY4KijzNePfwyRCF8+8QZZFeWUfrGWw//5V9RIiH1jJ9EyZTqUtJg55nl5va+7leQNc9YYN5/tasKmSuRlqfhaosiSRLHbhsNqllQ/dKyn2wFMX45NV08kxuc7sahmJcjkYCCZP17stlHdEOQE/JR9uIHsrRXM/nw9U6JN+KfOoOrQY/jf4hOp9RSQkGQmF7qwAxgG63Y39brvZv8IMaPE3a5/HFlq5pjPmZSfWrY31xEwB3xf+VpSXt2abgAGdlWhINsGkoQsyXg6pML0h7YRRosCa7Y1IAHHTsxtF208WHJybTYbsiyjqiqBQID8/Hyqq6vT3axukSRThB+2r5IrPvg7CUnmy8Iy9roL2ZddQEOWm4hqQ5MV7FqM/FATZ2z9hKn1u7FrUXzZBawbP4ufL/0FWk6OWbDJpqDKYFMVdMMgS1HJtivUB+M0BM2Jvj3ZAw7l5Pj+PHV85plnAPj2t7/d6bODaSKxQDAa6JcA93q9nHvuuZSWlnL00UcDZlGeqqoqJk2aNCwNFGQWQxndyYgbgt3O0UtP5+HVZalCMVpNHVmVX3KRrQn+8hcoLwe7HQ45xHxNn27+6/V2GWlL3jBlycJR43OorA0S0xLkOAxmlpii3B/WcFhkPt3ZSDSuM8WbzX0rK1Iiu6/HpuMTibpAhI17/CihIP/3TBPzilWuVhr4Yu022LGDs+r3MqZmJzWygw2ecawrLmPnWcuwHjqT8d4cAHwf7cQwDOzqfnsJA+icRNKZniZSJgdukbhGebU54fWUKfmp/PeuBhwLZ3vZWOVne10Qp1WhpiVKwoC8LAuTC5zt7OQGStsI44fbmlFkaA5rvFlew6RCF8XZNlZs9LWbKHsgM3v2bJqbm7nooos4//zzycrK4sgjj0x3s7olGQH/uHQ23/n6LIpb6plav4uS5jpm1GwnJ9KCTYth1TXCFhtBq4PXp5/EPSVTabFmpX7DFhkKVZlEAtwOFVmWKHTZ9ttaRnWmFtmoD8Y4oc1AcjAD6L7Qn6eO8Xi82/UcTBOJBYLRQL8E+KWXXsp//ud/psT3qlWr2LJlCyeddBJZWVnD0kBB5jFU0Z2B3BCGI2LeSTR6Czlz3myKk+s1DKiuhi+/NF8vvmj+q2lQVgalpTB+PBQXQ04OhzX5qQ04UAvyKXTZKcy2p26gC2d7ufeNCuoCUZpDUeobAuQpCcp0CXb5eWljObZD81m/eS+HNwfxSBpqLIoajRAPBNn7XoIZU/LMbcdiLKuqoWLLblyxCGo4SLTBzyWxMLZsJzGXm3q7k0kzyjh7/BhYcDRMu5gtnmIeXt+QGnAodUE+2d1EQlEZn+8kP8tKlT9MntOaclMJRPVOEyZ7Op5dnZPLT53IU2t28sFWc8LrSVPysLROeD1zRiFvltd2OeD4+YJpPL1mJ+t2+8l1WsmyqpR47L1OsuwrbSOMvuYwLREdRcbc91YXl1BcH9Q2RhP/9V//BcDFF1/MKaecQiAQ4JBDDklvo/qKJLHPXcA+d0GnjywyxBPdf1WVJZrCGmPcNmaN9bCvOUokrqcmErvsKsWtlpfdORIlSQ6gdT3BvuYI63c18cbGfVw5b3Kn8vS9MVRPHQ+2icQCQabTLwG+b98+pk6dCsBnn33G9ddfz+LFi7npppu4+uqrmT9//rA0UnBg0t8bwnBGzHscVEgSjBljvubO3f9+QwPs3Am7d8OuXfDxx9DUxDnVNezZXk12OIAtHkWTFGKSjDffRV04wX9qGjY9TjgYJi4pxFULutVKtsdFWLESXpFFGQpWVxa6zYFms6NZ7cStVuo1CXJzzYmmFgsFRx9Ni6ayujrKm3tCaFlOJk8oIj9nf3Edj8PSbmLiaysr2g18koV4qpujWFSFYybk4qkxc66bI3FsqukWc8mcsnbnoq8DobbL7moIccQ4DxMLXdQFIpRXN1MXiPLR9nqOLcvtcjB2zfxp3Hn+Yf0+p31tY9sIY1w3kDCj/TaLnBJfzW284g90Lr30Up588kkAxrUWt2r7XqaRTEHpjZ7EN5g54nZZwh/RCER1it02vtxnpj9hQI5DpcIXIMdpuhq57Wo79xPY3+dWbvYR1/WUA1Ge00JzROPBt7YyqdDVr+tVxwCBTZFwWOReHVE6Murm7wgEBzj9EuAulyv1/5dffpmLL76Y66+/nvr6en784x8LAS7oF/29IWTcI9S8PPPV4fF8DlBd7efFjT6qGkOMc1tZOC0PZ0EWv35hPUU5WRhWGysq6nE5zII5gajO/JleEoZBtT/S5bFJ/d3B5WNi6+uL5z5vTX3ZnyrS1YBm014/zeE4tS1RonoCuypT4LLhdli496LDgZ7Fa38GQh2XXberkeZQHC2RYFtdCD2RIBzTqGmJ8V5lHXE9wVSvu9u295WO291RF+Cav+9jXK6DWWM83bpWWFsrGeoJiTHZ9lSFQ49jQIZRo4poNEo4HKaxsRG/34/RqmoDgQA+ny/NreseVZKI9UWB90JcN8h3yvgjOltrW5AlczJullXFZVXwtcSYXuxifL6TlojG7oYQtS2RlBCe5nWmnuIkjATN4ThRzcBlU5EkCbddpT4YG9D1KhkgaNuv811qv4IQB9NEYoFgNNCvu0pZWRkrVqzg2GOPZdWqVTz44IMA5Ofnt/OLFQj6Qn9vCKPpEWp3EfW8ccXUh+N4rBays2xEWlMbXHbzp5gcgAzkZtlRtNe2RNi0t5m4bqTyywH2NIaJxDRaojoSEInpGIbp4Z3Mx+7piUB/BkIdly1ore75+R4/WVaFhmAcCbCpEnoCPtreSE6WlcJs+6Cic223WxeIsMUXAKC51S2lo897MsJotygUu+1YVBndMLBbFCbkZ6XcZQ5k/va3v/Hkk09SU1PD+eefnxLgLpeLSy65JM2t655EX8rQ9wEDqGmOoaoydouK264yc4wHfziOwyJjVRXius7H2xuoaYnQGIzjdds4a5ZZjOrBVVuZXuxq7XdWfM1RrIpEQyiG02ZOus53Wgd1verttzdtWvcWnKK4j0CQWfRLgN9444384he/4LrrruPEE0/kqKOOAsyJH8FgcFgaKDhw6e8NISkwY5pOZW2QQETDokjMGuMe4ZYPjPJqP3UtEd6trCc3y0KJx0aFL4oEzCjJbmelN5CbZVvRHolrrN3eiAEcP2m/m4fDIjPd6+K9ynokzIhvMsXi5HGePkXn+jMQ6rjslCInn+xopDmsYRhGygu8xOOgMRQnrieorAlgVZVBRefabreyJohNlbGpMoGo3km0tI32H1Waw15/hLJ8Z7uBT3Lw0hdGq9XbpZdeyqWXXspTTz3FsmXL0t2cPjOU2fk6YMVAlaElqqX6ykfb6zmi1MO6XX7T3z6eQJbMfvb2lzVohoGvJYIqm1agU4qcVNYE0A2DRDxBJK4T1RJMyM8aVMpHb7+9E088scfv92f+zmjtxwJBvzEMiMUgFDL/3w/Xs8HQLwFeWFjI448/TiKRSPl/A3z00UeccMIJQ944wYFPf24IC2d7+c2KLeyqD+FqtQlriWj4mqPtKklmIm0fHZ80JY/Ne1vYXB1gdkk2OU4rsdZc0bYiu7+TXduK9o+21+OyqymrtCQfba/nzBlePFV+InGdmG7a+0mYqS/r9/gBOqWctL0R2xSJlojWp9ShjlH5ApedQ4qzaYlqtIQ1XHaFfKcNp01FliRaonF8LVHmtDkWAxECbbdrFh8yI5CyBGu21dMSjoNEu7SBEo8ZdZcliZimU+3X+h0lzAhnnwGyYcMGSkpKUuL75Zdf5o033mDs2LFcccUV5OTkpLeB3TA08e/9RDWDjXtbkIA9DSHG52URjets3tuCTTXnBcR0M6Fc0w1qWqKU5WdRr0jsqA9RF4gAkOtQ2dUYRpJA021M97qQZblfg7mOjFQe92jux4IDGF2HxkYIBs2XxwNjx8KqVVBfb76XlQXf+Ab84x9mNezksn/4A2zdCtdcs/+9W26BZctMlzMwv7toEbTaeQ43/RLge/fu7fL9SZMm8eMf/zj1udvtbpcvLhAMBTNKPIzx2GkIxojpCdx2C4eO61wIIxNp/+jYQtF0R5cTJAdLUrTvt0Jsnw8uYYpnp00lGDUnFkZiGgkkmiMa3mxbu5st0OlGvNcfMdebl9WrE0RtS4T3WiP+M8dkY1NVZFnmV4sO4cFVW0EyqwtG4jqyLHHchDwmFLi4Zv40yqv93PTihnbf7ygEkuJ8c7Uff1hLTYxLCmuAbJtKc0Qz030MswqpRZGQJKld2gC0PtLPyxrwecm4eQr94NZbb+Xxxx8HYO3atdx7773cfPPNlJeXc8stt/DAAw+kuYVdo8qg9TLBsj8kV2UAwajOtroAOVlWQjEdb7YNwzCQJWiJaTgtpk+4JEl4HBZiusEn2xtBAlVVGOOxY1UVWqI6LpvKJXPKBtUPektNe+KJJwD47ne/O/ADwOjux4IMQdOgqQlaWszXuHGQnQ0vv7z/vYkT4Zxz4N57Yf16CATMWdUvvQSPPgp33bVfLK9YAfn5cNJJ4HSar//4D7jqKvjrX6G52Xxv8mRz+3a7Kc6Ty9rtMHUq/OY34HKZ7xUXm9sLBk1jgxGmX1u84YYbuv0s6ZUqSRLnn39+xpYtFoxuorrBqdMK2wnLrgphZBo9PTrub4S3L8t3Fyk7stTD7oYQDYEYUc181B6M6aiKRDSuM7Usp93NFuh0Iy7LdxLTzFSO7tJj2kbQTpycR3l1C+9XNnDKlPx2UbQH39pKfTBGvtPKhPysVIQw+f1ttQFyWydArtvl5+jW9iXb9vDq7SQSCXbVh5AkieZQnCyLwq6GEGfOKKTCF8STZaE5bKYrZVnMdSWrGH60rZFqf6Rdjvdg5hWMpnkKHdF1PRXlfu211/jGN77BggULWLBgAUuXLk1v43pgQl4WlXWhYVl3AlITKa2qWYY+ENUpyrYTjOpIsoRVkYjEdRRZ5vgJuXy6q4kch5U8l1kHoK0N6ZBbpg5THvdo7seCQaBp4PeD2w2RCHz6qSmim5vhsMPgiCPgjjugttYU0OPHw223wa23mva8SWG9bRusXAk/+pEpurOzTeE7dy78/e/m3243FBWZ2502zfy/y2W+D7B0KZx66n6x7HKBLJuR7o488kjn9846y3x15OSTO7+XBvEN/RTgTz311HC1QyDoE6PVSqu7dtsUKeULHtV0vvK1sLHKz88XdF30pa+PhruLlCW9uOsCNqzhOFE9gUVLkGVRcNrUVLpK25ttVzfiar/WY4S4bQTN47DgdTs6iZDFh41lUqGry8HEfa1WiXHdwGVTkFoHXJU1QY6bmEdVUzi1jfLqZuwWBbvFjKTva4kys8RNhS+YamN5tZ/rnt1AVE/gcVhTqTl5Tgv1wfYTyAfTn0Zr/wRIJBJomoaqqqxZs4Y77rgj9ZmuZ64P+qyx2b0KcIts2gwaRv9TVhIGaAmDCTl2XDZLyj8/urGa2pYYdouCzaIwa4wbq6pQ2BjmzBneXt2IBspQVtnsjtHcjw9aEglTKPv9ZqRYVeHNN00B7ffDlCmwYIEpoDdtMt9zOEzh/Otfm+9HIqYAfvddMzJ8661mmofbba7ziCNMMZwU1ePHm9tetgzOP3//+9nZcOGF5qsjzz/f+b1zzun8XkGB+TqAOfC9tQQH1GSa0Wql1V27ozGN7XVBsu0qbrvpvb29LsjTa3Z26X3dVtjWtkSorA3SEIhx6z82c9s5M9vlj3cXKYt1eIqwZls90ZhGrI2bRNub7UBuxL1F0Dr2ye+fPKFdn0x+32VXzdLgFgWbKtMciae2X9UUxqLA1tqAWbnTopCbZSEQMToJnhklHubP9Hbal2K3vU+FVfrKaO2fAIsXL+aSSy4hNzcXu93OMcccA8DOnTszOqVw7U4/MvtTR7oiniBVx9WqSMT0/slwfyjOzBLTvjLZb4+dkIevOUpph1SsI0tz+jxHIlMZzf14VGMYEA6b4tfhgNWrzYhvQ4M5MfC88+B//9fMbW5sNN//8EOzYvP3vmeKY48HHnsMjj0W/vxn82+PZ3+0efZsU4x7PPsF7hVXwE9/akaZ21Z3fuedzm289trO702ZMuSH4mCgVwFuGAbPPPMMkyZN4rjjjkNRlJFol2CIONAm04wWK62uBj1dtfu6ZzfgspnRWwC7RcEwDNbt9ne53qQwrW2J8NmuJmyqTG6Wyt7GENf87XNK8x0podBdpKxjdGtKoZOPtjXgsqskDKPTzfY3K7aYefdaAqsqk+e08ouF03vc/54iaMs3VPHgW1uJ66YtW1zTeXh1qF2fTH5/SqGTz3Y1Aea1yKrIqbY9vWYna7Y1oEgSSOaEuD2NEUrzHF0Knq5EhaLIXDl3MhW+4JD0p9HSP7vixz/+MXPmzKG2tpaTTjop9dQhkUhw8803p7l13eMPx7FZJMLx3kW1RR6YbWFzJM40r7PTb6rj7zz5mxnt4nU09+OMoqEBamqgrg6iUZg3D954w3wlBfT//A9UVZniuqHB/N7vfw8/+YmZA223m+K71XWO6dPNaHRenlmUTZbh29+GSy6Bjvrs1Vc7t+m88zq/l8ED7AOZXgX4l19+CZhRkBdeeIF4PM6YMWM46aSTsFqtw95AweA4ECfTjMQj2MHQ06CnY9qGgYGE1O49qfX9rkgK08raYMqRoSEYJRxP4LKbkbreBlkdhahVVRifn8UYjz1VBKitA0kyUp5sU9tH693tf1u7xRkl2dgtZtGQYyfkpCZf5jutRLUEW3wBpntd7fpkso0eh4UjSj2UV7fQFNY4ZUp+aiKb0XqsTK/vKHJrsyJxvUvB05OoWNzjHvWPTO+fPXHEEUd0em/ixIkj35B+4HFYqGuJ9rqcgRkJH4hriiJJ/PHfW6nwBds9QezuXPcmXofrqeSsWbMGvY4ko7kfDwuxGFit4PPBhg2mqK6tNV0z8vLg8svNv+vqzJSKu+82xW51NRQWmsJ53jwzNWTMGDMSnZdnRqLz82HtWvNvR5vAwYoVndsxb97I7bNgWOlzCkpZWRllZWUA+Hw+/vnPfxKJRMjPz+eUU07B6XQOWyMFA0dMphl5+jPoObI0h4+2NYAkmf7CWoJAVOf4SV37kCaFaUMgRm6WSiSu0xCMU+Cy4rar7byLO26v7U3fYZGJt7Ha+8XC6V3ebFds9FGal8Xssfs/84fj3Q7gurJb/GBrAye3Tr5csdGHljDIc1qQJCkV+a/2R7Co+6M3bcVyIKpx+vSiTiIlphscOzGXbXUhtESCiJbAJUuoitzt4EOIigOPS+eM5543Kvq0bH/Ft9xa5l43IBzV+vwEsad+1t+nkv0R68cee2w/9/AgR9fNiYc2mzlpsLoa9u0zI8s//KFpU/fCC+Z7LS1mjvXatXDffaaoLiw0U0acTtP6rqDAfG/MGHP9XaVwzJvXtYgeO3Z491WQcQwoB9zr9XLBBRcA0NDQwJtvvkkgECA7O5tTTjmF3NzcIW2kYOD0dTLNgZQnPtR0dWyAbo9XV4OeSFzjo+31nZZfNqeMan+EhmCMloiGVZUZn5/FsjllXbYlKUxv/cdm6gNRClw2PA4Vj8PMH3fbzfPccZC1fEMVD67amhK/xW47LVGNMR57akJjcv1t6W4At2mvn/tWVnTan/YVKM3cbYuiUVkbTK0vz2m2NSm+bapMfTDGnMntJ9z0JpaTfXvOpHwA6gIRNlY1E9MT3e6P4MDj1GlF/L/3d1DVPPTVmCVAVUCRJWIJY0ieIPZngN5fsR6PxwGwWCydPjuoMAwzl3nXLtPebs8eM83jJz8xUz+WLTNFdV2dOQHxuuvMfOmsLPB6oaTEXM+3vgVf/7ppV5eXZ6Z7nH22+erIRReN6C4KRj9y74v0TF5eHtOnT6euro6nn36a+++/P6NnzB9sLJztTVVYTBhG6v9ti0EkL/L+cLzdRb68uus85IOJro7Nb1Zs4d43Kro9XmNzzBzkJLUtEdZub8SqyJ2Wn1Hi4RcLp3P69CJmjfVw+vSibqPRSWaUeLjtnJkcNi6HGSVuClw2miMaUS3BlCLzSVTbQVZ5tZ8H3zLTPpLid8OeJr7yBdi4t7nHc95xXwB21gXZ0xhme22AXfVBlm+o5pq/fc7yDVVUNYXJtqvUBSJ8urOJSFwnL8tCQyDGw6u3Y1Ukit12oppZHdAwDJojGhal/wVK2vbtmpYwa7Y2EIhoHD7OI/rwQcRTa3aiDUE1HqU1hUnCvDFaWx/ISJKERZawq+btcrBPEJO/kbZ0t862Yl1u9Rpva8PZkWeeeYZnRqiISNpIJGDHDnj/fdPSbuVK8/1f/cr0iC4r2x+B/ve/4f/+z0wZcTjMHOkJE0zbuk8+MSsfXneduewLL8BTT5me1MlKsIccYqaKFBSY4lsgGEIG7IKyY8cOnnvuOTZs2MD06dM566yzuPLKK9tVyBSkn75MphlNeeIjHanv6tg0tNrWJdMyOh6vjjnWm/Y2YwCzx7pTN9G2yw8kLaLteXU7LDRHNKZ7XeQ5be1K2ie3k5zwmEz72BdPYGAQ0xNdtilJVxMXK3wBit1WKmoC2FSZPKe5/Qff2srR400HiGT596Q1YJ7LatoKajqKIjOtyMW+5ggNwTiqLHHlvMmDOgYrNzeQbVeZNcZNYfb+iP1w9WHxxChzWLOtnqZwfNDrMQxThBuG2ddjukFM17EASGYBqzfLfUTjCfJc1gFX3+2Pxd9BmUIYiZiR64kTYedOeOIJU3Dv2GFWMVyyBE47zUzZGDt2v9fzwoXma9y4/QL80kvNV0eOPnqEdkYg6J4BC/BEIoHH4xmUN/jq1au58847SSQSXHTRRVx++eXtPn/xxRf5zW9+g9drRsYuueQSLmp9zPPSSy/xpz/9CTBn75/X1cxeAdD7o/zRcpFPh6NLV8cmpiU6TZJse7w6DnriusHxk3LblYQfiuPb9ryWV/t5es1OVpXXYGBwZGlOu31ITnhMpn3ohoGm709Z6dimnvLFS/Md+EPxlMAOxTSaw3FaInEUWcJpVajwBVBlCUWWcFhkTpxSkPIPTx4bq0VhzuTBidfeKn8OVR9uezxsisRef4SyfOcB4Sw02mmJaGhDEAI3MF1SDCQMwGmVSBgSWgL0mEZck4hqCXKzLJS4bQM+5/2x+Dtg/birqqCiAiorzSqEV18Nv/udGX1uaDBF9Ntvm9Fuq9UU2WVlcOih5t87d3Ze5ymnjPReCASDYsACfNKkSVx22WUD3rCu69x+++08/vjjeL1eLrzwQubOncuUDn6SixYt4pZbbmn3XlNTE3/84x954YUXUpU3586di8cjbn4DYbRc5NMRqe/q2FjVzk95ejpeLrtKKKpDdt+WHyiheILjJualbupJgTA2x0Fc09niCwCgJRIEoxqaniAU1agLRChw2VNt6jjQaVvEJ1kkZ/mGavKcFkIxjb1NEXM/bSp1LRF2RDXiegIJCadNxdH6LD+5/qRoToraR9/bMego8nD24Y7HY3VFLYGI1ir4LRn9xOhgwKpIJKBXL/DuMF2H9rukWBQJXU9QH0ngtMq4bQotUQ3dAIcEboeFCQWuHicj90R/LP5GrR+3rpuvRAKefNIU2l99ZUaeb77ZrJDY3GyWBp892/zOxRebExlLStrb6XW4/wsEBwqDKsQzmIkeGzZsoKysjNLSUsAsArFq1apOArwr3nvvPU466aRU2eSTTjqJd999l7O7mhgh6JXRcpFPR6S+q2OT57QiS1K3xVs6CrZYXE95WY/Pdw7L8e1pcGLuQ4jpXheVNQF21odQZIncLBvxhMEnOxo5pDgbWZb5xrHjeh3oLJzt5R/rq9hWGyQYM/PDbaqM1WahpiWKTVXIsqrEdQPDMAXNpr3NFLhsxNw2fv7c51gVKVXEZCiiyH3twwNJHel4PGJ6ApdNobI2mEp3ycQnRgcLeU4bdYEosQFMPZLYL8BlCVRZwq5KxBMGsgQTCpw4bRa21gZaP5fRW1X+YM55X9POMt6POxw2I9kzZkB5uVlNsbzcLEX+yCPmBMZPPjELtZxwAhx+uPm9rvypk2kjAsFBQtoqYfp8PoqLi1N/e71eNmzY0Gm5f/3rX6xdu5aJEydy4403UlJS0uV3fb6uJ6UIeifjL/KtpCNS39WxSRah6e54daxWua8limHA2p2NhOI6M0s8Q358exqctN2Hr2qCTC5yMWuMGyBVSbO6Ocqlc8azYqOPl9dX4c22MaXI1a3AzHdZaQzH0RMJFFlC1w38YXMypcMiE08YlOY5qGmO0hCMoScM8pxWrKpCvktldUUtLRGNYo9tSKLIfenDA01h6nhs3XYL4ZhGoM3k1Ex8YnSw4LKrralH/UtDscggIaEbBqpkntc8p5VQXE/5iu9uCOOyxwlGNYyEQQJzAPbhtnqK3TYmFAx/AZP+zBHpysd9SAiFzPLle/fC0qXw8MPwm9+YqSSTJ8Nrr5le1hdeaIrxqVNNRxEwJ0EKBIJOZHQp+jPOOIOzzz4bq9XK3/72N2644Qb+3//7f+lu1gHJaPBH7i3KOVwT47o7Nt2tu6tqlSUeGw2hOC6bZVgm7PU2OOkuV7ow207CMCivbubN8lo8DgvebNNV5bNdTRw1PofCbHu7da3Y6GP22BymebN5u6KWcEzHqshENB2XTSWmJbBZZLKsKmX5CvXBGPkuG2X5zlT74rphRpFrgqnc+MFGkXvrw11OqA1EufUfmxmfl9Vtn+lUObTIyZqt5qTPriqHCkaWhAE2VSGqaX2S4KoEsiyh6QYOq0SOzUIoqhPTElQ1hVEkSBjm0xt/RDMFuizREjdD33FNp6Y5wt6mMGfN6p9zz3AzaAFuGKYX9vr1puvHwoXwzW/CP/5hFpI5+mhTgM+fD6eeaorvtk/Cv/nNwW1fIDiISJtlidfrZd++fam/fT5farJlktzc3FS1zYsuuohNmzb1+buCA49klNPjsFDtj+BxWFLRy0yyUkxa97WtVhnTjVbP7u4txAZDX+wm27atLS0RjeaIlhKnU737o3qVNYFO60raqBVm2zl9WiFet51itw1VlrAqUmuKhtrOYlAyDDbv9bNys4812+qRzerxNEfi7drR1yhyebXpQ/7z5z7nvpUVfTrPHe3falsiVPgC1AeiPfaZjsfWoihMLHAya4y7Uz8UdM3rr7/O4sWLOeSQQ/jiiy+GdN1uu9paUbZvyLLp+jO5yMm43CzysmyMzXWQwCCuJQjFE1gVmeR83lBUJxDVkTHFe1Qz+/WkgiwqfMEh3ZfBEgqFCIVCfVvYMGD7dtPK76OPzHzt8ePNNJH77oOtW83lfv97aGqCdevMtBIwHUoOOaS9+BYIBP0ibQL80EMPZceOHezevZtYLMby5cuZO3duu2VqampS/3/rrbeYPHkyACeffDLvvfcefr8fv9/Pe++9x8knnzyi7RekhxklHq6ZP417Lzqca+ZP6zLtoy9+ucNJUrA1BGJYFYlIXE95dA9XrnBPg5Ou2tZRqHscakqcFrjsHF2Wg9uu4muJEtN0siwyj763g/tWVmBVpJSIL8y2c9T4HEJxHT1h0BiOk5tlQZUlGoJxMOC8I0vwt4p8l00hGtcJROLUB+NYFbnHAUNXDHSw1XbwUdsS4e2KWvb6w4TjOg3BaLd9pqtj+/MF07jr/MM69UNB10ybNo0HH3xwWCo1zhrjweu29y36LZupJmaqlMK+5gjTvC6OLsvFoihYLTJWRUKSzDouDjNPBbnVQ7/IbcdmkVFliU3VLfxr876M8pp/9tlnefbZZ7v+sLbWTBWprjbFdVERnHwy/O1vpsCWZfjsM6ipMb21f/pT83tjxpjOIwKBYEhJWwqKqqrccsst/OAHP0DXdS644AKmTp3K/fffz+zZs5k3bx5PPfUUb731Foqi4PF4uPvuuwHIycnhJz/5CRdeeCEAP/3pT1MTMgUHJ5lkpdhVtcrZY90UuEyxOJhc4Z7SbPqSRtRdrvSKjb52aRYFLjsWRWGKphOOJ/A4LOS5VPzhOL7mKAnDoCzfHFAEIhqReILTphWSZVPYvLeFxlCck6fks2xOGSs2+pjudbHFFyCqJcynAlaVSExjdmsUuT/zDgbqhpNMYWoIRKnwBQhGNVQZsm0qn+5sYlJBFnWBGL7W/N/+HltB9ySDJ8PBwtleNlb5qazpPRqtJSAc14hoEoXZNvKcVsoKnFT6WohpOpHWNBNFNsjNspIwwDDiSJKEIstEYpqZYqXKaLoZKe84jyAjPOINA778EqZNM4vRXH451NfDMcfAPffAEUeYaSYdy58XFo5sOwWCgxjJMIwhqCGWeezZs4d58+axatUqxo0TuZkHOvetrOiUA538+5r500a0Lckb8OZqP7vrw0zzuigrcHay8xvIepOTCNvmwA9mfV15W7ddd5ZFxqIqnY5rXNMpyDbL2O9qCFHSYUJa22P/8+c+p8RjpyEYpbImSHMkTrZNxZNl4f++0/+IaHJ9bT2/E4ZBtT/CvRcd3us+JwdGkbiZs56TZaUxGKM+GKMw24bbrjJzjGdQx1bQNcuWLeMXv/gFhx56aKfPBnPNXr6hiiv/up5EH+5migSqInP4OA9TilxUNYZYt9uPBASiGonWKuZF2VZaIjpxXQdDQpIljISBy64itfa9hbO9WBQl1deH+jfaZxIJkGX+9fOfM/3f/6Zs1y5wueDdd8FuN6Pf06eLao4CQQaR0ZMwBYK+MhgrxaGMWLW9AR9S7CbLorDFFyAU15k1ZnDuJz1FfpP/drUPXe0fwL1vVFAXiBLVdGyqgk2VibUpuPONY8fx6Hs7yHN1Lptd7ddSA5ukIO64TPLpQ3ISY4HLnppw2XGw1B8G44Yzo8TD+Lwsjp+YR30gyme7mojEdVoiceKt/nJTilydouoZEdXMcL773e9SV1fX6f2rr76aM888c9i2W17t583yWnIdFhpC8V5TUXQDXKpMTUuUS08s45ZXfMiSRJZVwcBI5Xv7wxouu0okBnrCwKrKBKM6kbiGgUSe00plTZBJhVlUNZmpTSNaq2DrVnj9dTNd5JNPYOdO4jYbO449lrJXXjGL2SQpKBjabQsEgkEjBLjggGCgVooDsabrSYx1vAFPKHCR67QNSSS+uzSbTXv97GoIdbkP22oDPPjW1lQp+rim8/DqENG4xva6INl2FbfdQlRLUBeIMbWIdlHkvojd3pYZap/5wa4v2d5k/nplbZBAVCfbrqZcX5LrrmoKp6UC62jkiSeeSMt2V2z0oesJsqwK9aG+laSXJHMQ+EFlPTZVxjAMYnqCbLv5220IxgjFE7iROHlKAblOK5W1Qb6sbiaq6ZTlZZGTZSES1/loWyNzJuUBw5wK19AAb75pTpy84QZ46imzZPvFF5uTI1WV2qlTqZ06ldPEU1+BIOMRAlww7AxX9LCr9fZX5PY3YtWbGBvOG3B3Qrc5ojEuN6vTPjy9Zief7mwCiVQp+i2+ANO9Lj7e0cgYjz1Vmt5uUTAMg3W7OzuA9CZ2e1tmqH3mB7u+tu3Nd9mwqgrNoTjTi/f7nsP+QUQ6KrAK+s6mvX4qfS00hGJ9qoYpATHNdOp5t7KePKcVLWHgcVgIRjWq/REsioJFN+tjfrCtntLcLA4b5yEYibOrIZSq7ppcXzLqPuS1ClpaIDvbrBz517+a1n+LFpmf/dd/dVr8mGOOGdh2BALBiCMEuGBYGWj0sDfRPlRRyf4K5o5FdpKFbG79x2ZuO2fmoG7Ave1zd0K3rYNJ231YvqGGukCMmKYjSRIum0qe00q1P9JaKt4kFNNoCMbMSYmKTHm1v93kw97Ebl+XGUqxOpj1ddXeK+dN5s3y2i6rmz763o6MmeA7Wlm5ciV33HEHDQ0N/OhHP2LGjBk8+uijQ7Luan+EhlAcLWGgKvRaEVOVQUsY5Dqt2C0KYz12vtjbDIA/ZBaNius6FsWseikD2+oC7G4MkUgYFLqs2CwKgYiZojKjJJuYbkrwIXna8+mn8OKLpvd2URGsWgXXXmtaAyaL23TD7GRZd4FAkPEIAS4YVgYSPewornfUBbjm7/sYl+tg1hizFHpyvXFd5+PtzTRHTEu7p9fs5M7zD+tz+5KCOabpZipCRMOiSKlKkR3pqshObpZKfSDKw6u3c+aMQt4srwX6dwPuy4Cirw4mALvqg9S0RIlrCSTZtFFriZgODqGYGTEPRHUiWoLalih6wiCiJbAZcM3fPufKeZNZfNjY1Hb74q4ymqLByfYmBz3/3lJHlqVzDvyMEk9aKrAeaMyfP5/58+cPy7pDMa3VV15CSxjtItJdkbQglCSJGSXZaAn45dem8+SaXexuDOGxW8iyWlBkmWp/hKhmKnq7KhHRdWI6TCl0pp6WtO0bA346s3kz7NhhRrf/+Efwes1qk8cfb34+fXqfjoXfbz7B8nhGz29RIDhYEQJcMKwMJCWjrWivC0TY4gsA0NzqFf3w6u0EonEKXFbW7fJjU2WybSqRuM67lfXtIri9sXC2l9+s2MKu+hAum4Iqm+LK1xztcj1JMda2yE4krqeK7FT4ggO6Afd1oNKd0O0YddviC2CVJRSLQqx1cqEsQUTTUWMyv/zaJJ7/tIrNe5uJ6wliuoFVlijNdaAb8OBbW5lU6BpVorq/JAc9up5gX3OEhmAcVZbaDT5g6HPYBUOLw6JiyZbY1RBGN0g92ZEwHU8URaIsz0l9IEIgpmNRZcbkOjh0rAerqhDTdCp8QcbnmdHl4mwblbVBXDaFxlAsNTlXkSWsikxTKMaKjfsoybETjRupPpOkX4PRP/wBHn/ctAj86U9NAf744wM+Fi+99BJgTogVCASZjRDggmFlINHDtqK9ssYUujZVJhDVU+upagpT0xxNiWCASDxBNK5z3bMbmD/T26dc8xklHsZ47OxtDFPlj6DpCSyKzBZfcyqtpKs0kIZAjNwsNVVkZ/ZYd2pgMZBo8GByx7uKuo3LdRCJabREdRQJYokEesK0B55S6GTxYWOZVOji2mc/R282cFihKNuOs7WCZX0w1qcc5/7m92eSm0hy8l5FTQCbKpPntNAc0ToNPoY6h10wtBxZ6uGdilr0hIFdNaPgWmsieFl+FgaQ67QSimsgyZw8JZ/x+aYt6M76ILIkYVUVSjx24prOZ7uasFtkonEIx3QMw4yaN0c0nBaZHKeFPY0RdtaFKMvPYkqRizfLa/s2YI3H4dVXzYmU115r5nc/+KBZEEdYBAoEBxVCgAuGlYFED9uK9qRndFRL4GrNczadO1Qq/BFyHaZgbArFqWoKYVNkqppCvL2lhg17mvjFwum93hRrAtHURMW6QJSEYZafrm4Kd5sGMtgiOx2FqK21uuRA0xw6iv77VlZQ2xLFomqEYjqylkCxSrgdKidMLkh956yZxSzfUE2e05LyNo5qpmNKd+K/O5/z3vLwM81NpKopzL7mSLtBnNuudjn4GG0pNgcTl8wpY+VmH/GEQTxhRr5tqoRVlvGHNSYVOplR4mZMjoNDip2s+rKO9Xv8eN12CpwWityOdq5FAFtrg+xriRLTDSwyhGMa5pxMw8wfz7JS3DqJeUKBC3843vuA9a674IEHzOI4P/kJAOWLLjSvAy98kfYBqUAgGFnEkFswrPS1RHpb2pZLz7apNEc0s5R7oRMwhemsMR5OnpIPkkQgqtMYiiFJErIs42x1KNhVH+KpNTt7baM/rCFJEoGohirL2C0ysiShG0a3pclvO2cmh43LYUaJmzynbdCl1Pf6I+xuCHUqEd+X9bVd730rK/j5c59T12IKSz1hDizGeuy4bCrjcrParXPhbC+qLNEc0TAMIxXRL/HYuxT/bdvuD8VBgoqaAPWB7ku5J2mbZiNLUq/LDxfJ47Rpr5+vagLoif2+Gb0NPgSZx7baAP5I3Ey5ai0hr2kGLptCLJHA3drPDil28tJn1TQEYrisCk3BGO9U1PHJjnpqWyKp9Y3Pd3JIiZszDymi2G0johkkALtFAgkCUR2n1Xwq1xwxbQ+7fFplGGYhnP/+b/Pvww6Dd96B1avhm9/s8jrw8OrtGVXaXiAQDB8iAi4YdvobPWz7yN+TZaE5rDHN6yLftV/oJiPoyYjqq5/vNf18Ma3l7BYFDIN1u5t63Z7brtIcihOK6dhbS0wbgE2Ru00DGUxaQlf53mX5TmKamWIzkDSHjtHllohGtt1CgdPKjoYwBgbHT8rjpCn5rNjo49H3dqQiblfOm8yDb22lPhgj32llQn4Wsix3Kf7btr0lquG2m08nKmuDFGbbe0ybGVaP5D7S9jgdPs5DdVOEnfVhyvJBkWWiWoIJ+VliguUo4sk1u3DZLKiyWRE1EjfnNPijGuceMZa7zj+M8mo/1/z9c5DM6HiVPwIGWBWJff4oWqIp5QGffPJU1RTG67ZjUxWq/WGiWgLDMJPMfS1RFEUmz2kDunha9Y9/wO23Q3MzXH21KcbPPrtdu4W9pUBwcCMEuCAjaSvaO6ZrtBWmSREcTySwKTJej50sq9mtDUxnhN6YNcZDlkWhJWqK8CyrgtuhkOu09ZgGMtC0hO6EaLK6ZHJ/24rkAU3izDO9wf93mekN3FMKyH3fOLxPudlt2+62m4VIbKpMIGJWAuzpeGWCm0jb4+RxWJgzKY812xuoaoowtcjV4+BDkJn4miN4s634WmKoskS2XUVLGASjOsvmlAHmeU8Wo6pqCmNTJEAiYRhEWxPGK2sCWFUlNcBfsdHHul2N5DutJAyDXQ0hZFlClUwf8Wp/hMmFzv1BgSO88NJLcO65oGmmT/eiRd3mdg/HgHTOnDkD/q5AIBhZhAAXZDx9Ebp5TiuNwTgxLYHDYt5UA1E9VaGuJ8w89RDHlOXy5b4WMxfaMN0Q2kbbh2oCYU9CtKNI3l4b4Jq/7aM038HMEk+fhHGSjjfzniJu18yf1qd9sSkSqytqiekJVEmiJaphtyi47WqnpxMdyQQ3kY7HaVqxG0+Whc/3+Bmf7xR5uKMQr9tOc2saR2Mo1hqphgkFztR5rGoKp4pRRbUE1lYBHosnGJ+XRZZVwdcSZY7D0m6A/8amfTRHNIIxjSyrQlRLoMoSLptCXpaVnQ1hDil0cvlX7zLmjD9AWRmccQacf36v7R6OAen0PtoVCgSC9CMEuGDU0lasHj8xj/e+qsfXHCWm6bgdViYWOLmkNQLWE23TSUJxHX/YTK2YWOhKibGhLCjUkxDtWOinoiYAEvhDpri9940KvG4bMd1oJxb7cjMfSMStbfutisTnu5taH98bWBU55fk2LtecyNZT2sxg3USGYgDU1XGyW1TOmlncropqJrm1CHrm0jnj+fXrW3DaVMZ47NS2RGkImQWV7ltZwcLZXsbmOIhrOlt8ARTJdErREwayJHF4qQeLojDHYWnXB2aUeLhy7mQeXLWVQEQn265QmG1DkWWOLsshL8ssanV1YDO8+iI88QScckqf2z0cA9K6ujoACgoKBrwOgUAwMkiGYfRUs2DUsmfPHubNm8eqVasYN0749R6I3Leyop2Yqm2JsGlvM3Hd6LMN4UC3BfsLcLS9abelrWhve4O9/NSJAO0E3jSvkwpfkJfXV+HNtjGlyEVlbZBoa4pHS1TjqPE5rNnaQLZd5dRphZ3W19u2/rV5H1ZFTrm29LYPHdv/r037qGoMp0p3h+OmRduJk/JSaS7DxfINVTz41tZUGkGJx44sy/12UOnpnLRNeeptGcHQM5hr9vINVTy5Zhe76oPEdYNDx7o5dFxO6twlC2Q1BqN8UdWEP6yhyBLHlOUw1evp8fyWV/vbuR5NKXIys3orJ/7512xa+i3Ovv1n5oJS7+luXa17KAd6TzzxBCB8wAWC0YCIgAtGjKG+2XSM6BZm2zl1mo1qf6RbUTxU24L+FRSC7lM+2go+b7aN5ojGZ7uaiGlmgZ+olsBtt1BZYxYHietGykWk7fq6ii4D7SYdrt3eyJqtDRw/KRebqvYYcevY/vpgDKsqoxkGpa1FS8IxjR0Nfc9ZHUgfKK/28+CqrSmryKiWYIsvwHSvq98T1voShReT40Yfiw8by+LDxnYaKCf/rfAFOaTYycOra4lpkOOw4LSp7G6MMiFf71J8t+2rUwqdZNtUJmSrnP34PUx99w1eu/A/OPTySwYkvJMIe0uB4OBFCHDBiDAcHtAjOalvsAWFknQl2tsKvqleF5/ubALMwkLNrZMbZ49189muJqyylPJD77i+rm7mN724gW21AeK6gcuuMs3rYq8/wue7m5k/08uxE3K6nfDZVftVRSKm7bftM8t+9+0h2kD7wIqNPrSEkfIqT3p2V/sjWFSlT9tuS2+iJxPcWgQDo7tzt7naz+6GMIXZtpRzT1RLMK3IRUG2vUvx3c5VKBwnp66aSHYZu3NLWPPIa5xxYu81BgQCgaA7hA+4YEQYDg/otn7hA/XOHs5tjc1x0BLRqG2JsGZbPSs3+1hdUds6AWw/VU1hsltFdYHLztFlObjtKonW7LDpXhd5ThtWxawGmvRDh54HAeXVft6rrAfD9ESOxnW214eYUZLNzDFuFs728mZ5bbc+xMn2Jyl224nEE8gSKc/wQFTnyNKcPh3DgfaBqqYweU5Lyq0CwKbK1AdjwzbYarvfMPJuLYKB0d2584c14noCt11NDeJsqsy+5kiXA6u2fdXZ1MCye67iyifuoCDbzjlP3stPLjhOiG+BQDAohAAXjAhtRWaSwUYVB1LkZyS3tXC2l531QT7a1kA0pqHKphjwNUfbFdvoKBoKXHZmjvHwjWPHc983DmdCgYtqf4TZY9yMz8/Cqip9GgSs2OgjN8sCkkQoplMXiOJrjvDvL81BQG+CuOOgY3KhE4dFJsdhTbV3fH5WyuqtNwbaB8bmOCh224lqCSJxHcMwaI5oWJThsQscyYGdYGjp7ty57WoqfSmJTZVpCHZdvTbZV8duWMslP15K/fgpvHTPY+YEZIFAIBgCRAqKYEQYrnSRkcyhHEhBoTEeOw3BGDHdzOM+dJzpuNA2n3jhbC/3vlHBukCUqKZjUxUKXDaOPWpMp3xpoM8uIlVNYWaOyWZNZT1NEQ2rIqHKEIyag4DaQJQCl5UPtzXTHInjtluYVJhFVZOWan/bfOkJBS7OmuWlwhccUB7/QPtA0iZyWpGLfc0RGoJxVFniynmTh3WwNVC3FkH66O7crdjoY0ddgC2+AEBrFUsNVZa6HFiNz5IJNjQRKCzmtV/9gapDj8EfjjM2xzbSu9QvTj311HQ3QSAQ9BEhwAUjQiZ4QKeDqG5w6rRC5DYTtRKG0Snqm0w3SRYO8odjvPjZXkrzsjrlS/c0wbTtxLFdDSGKs21kOyyE4zq6AYokM7HAQWleFp/saGBrTZBsu0q2TSUS1/loW2M77/SuBh2LB3gsBtoH2ooqq0VhzuThtwUUk+NGL8nzlvwdrNjoY5rXya6GENO95tOk+mAMiyJ3PYjbuZMf3vQd3jh8Lusv/B7ZxeNo6cXjPlOYNGlSupsgEAj6iBDgghHhYI0q9iXqu2Kjj7J8J4eNy0m99/aWGuoCUWaPNY9PX5w4Ok4ci2s6n+1qwjBgfF4WMd0sUHRYqYdsu0ogGkeR2mehmZMqh4cZJR7OnFHIk2t2mdUL3XYunTO+T31ACGJBX+lqsu+b5bWcOaOQCl8Qi6owZ3JB14O4lSth2TIcN9zA9G9cxvZNNaPqerVv3z4AiouL09wSgUDQG0KAC0aMg1FE9SXq25VzQ0xLdHIX6a/t4YQCFwBrdzbSEIpT4LKlPMD94ThZVguHjXOzrS5EIKLhsqvMKMkmpg+PBC+v9vPiZ3uJxnUcFploXOfFz/YyqdCVsf1CFOQZfXRnI1nhC/ZuT7pjB/z973DaacwAZozJGda2DjUrVqwAhA+4QDAaEAL8IEKIiZGnL5H/rqLkVrXz/OiB2B6Oz3cSiuu4bJZUYZnkxLQjSz1YVIWpRU4qa4I0R+KUV7cwe4x7CPa8M0+v2cn2OjPlxW03XU221wV5es1O7jz/sGHZ5mAYDutMwfCRvL4998luAKyqhNftIN9poS4Qw9cSBeh83Usk4D//E044AX74w3Q0XSAQHIQIAX6QcKCLiUweXPQW+e8qSp7ntCJLEv5wvM/50t2lu8ws8bBwtrfLIj33vlHB9jqzwI9VlghENPb6I5RX+4f8+K3b7cdlU1I+3naLgmEYrNvt7+Wb6UEU5Bk9JK9viYTplJMwIKpJGEaY8upm8p1WvNm2ztc9TYPvfQ8qK+Haa9O9GwKB4CBCCPCDhEwVE0MhnEf74KKrKPkvFk4HenY86XjspnmdvFleC3ROd+luEOB126gLRFOFemaN9WBVlWHpFwZGapJpkv4U8hkoA+1joiDP6CF5fSuvbqbAZaM+GEMC6oNRVFmhOaIxZ3J+5+vef/0XVFfDm29CVlZa90EgEBxcCAF+kJCJYmKohHOmDi76Q3cCua8TLpMTzQ4pdrLqy7o+T3KM9dGlZSg4sjSHj7Y1gCRhU2WiWoJAVOf4Nq4rvdFfMd3XPtbVekey0qpgcCSvb82RODlZFqyqTH0wij9i4HbJ2FSFwmzz+pdtV6mua4bmZrj6anA6wSHOqUAgGFnSKsBXr17NnXfeSSKR4KKLLuLyyy9v9/njjz/Oc889h6Io5OXlcddddzF27FgAZsyYwbRp5oSakpIS/vznP494+0cTmSgmhko4Z+LgYrB0JQhhf0Q8aTHY9tg1BKK8tK6aEyblc/zEPFoiGm+W1/Y4yXEk+8WyOWVU+FrY3RAmounYVYXSPEefC/kMZMDWlz62fEMVD67amip3H4vrPLw6xJkzCrt9oiDILJL92G23EInrOG0qiiwhSxLZdgvuNv07EIpx2SO3w/oZcM89aWz10DNv3rx0N0EgEPSRtAlwXde5/fbbefzxx/F6vVx44YXMnTuXKVOmpJaZMWMGL7zwAg6Hg7/85S/89re/5Q9/+AMAdrudV155JU2tH31kog/3UAnnnkRkJueGt6VtO62KhK852s4D/N43KkgYBmX5Tko8dj7aVsfWmgAbqprwuh1MKXKyrzlCXE/0a0Az0v3C47AS9xipgkMeh7XP3x3IgK23PlZe7efBt7aCRKrcfUVNgGlFLip8wYPSOnM0kuzHxW4bX+5rMSteGjC10MnWOrOIU8IwaIlonPbIbylrqYX/+nu6mz3klJaWprsJAoGgj6RNgG/YsIGysrLUBWPx4sWsWrWqnQA/4YQTUv8/4ogj+Mc//jHi7TxQyEQf7qGKvnYnIo+dkDMqcsM7RnZXV9TSEtEo9tiQJQtxXeeLqiZimkEoppPvtBCKJdATBjHNIBLX+XRnE8Go1qXY3Fzt576VFV0OQkayX6zY6KM0LyvlbQ7gD8f7/MRjIAO23vrYio0+4nqCfKeVcFynIRgjFNNpDscJazrXzJ+WUX1F0DVt+3EoruMPa7jtKrPGeLjo2NJU9dYj6rYzZ+un2N9/94BMO9m923SAEUJcIMh80ibAfT5fu2IBXq+XDRs2dLv8888/367MbjQa5fzzz0dVVS6//HLOPPPMYW3vgUCm+XAPVfS1p/LToyE3PNnOmKbz0fZmdtSHsCkSn+/2c3gpfLqziZiWQJVls1rl9gAum0JLRCMc11P51KGY3kmg7qoPUukLUNNslrn/ytfCxio/P18wrZ0IH4njMdgnHgMZsPXWx6qawuQ7rfjDceoCMVRZwq7KBGMau+vDw+IGIxgeeurHiwEaGiDvcPje18CW2SXlB8qqVasA4QMuEIwGRsUkzFdeeYWNGzfy9NNPp97797//jdfrZffu3Vx66aVMmzaN8ePHp7GVgv4ylNHXrm6+j763Y1Tkhlc1hVFlWL/bj02VcVoVYprOroYQADZVxqrKSEjYLQoJwyCuGxS4bARiGoGojtuu4rGryLLczrpwwx4/MS0BkHbv7cE+8RjIgK23PjY2x0Fc09laGwRAkaXUYGea15VxgzXBAKmogFNPhXXroKQk3a0RCASC9Alwr9ebKpsLZkTc6/V2Wu6DDz7gz3/+M08//TRWq7Xd98F81HbcccexefNmIcBHIcMZfc3EiaddMTbHwdtbarCpMnaLQp7Typ6mMFZFptofZlyOgyyrCoaZbmJXZQJRDbfDwunTCinMtqf2s6PfN0C+y5oR3tuDfeLRVkxv2uunOaLhcais2OhLfd7d93rOgQ/hsMroukE4riNLEsdNyKWswJlxgzXBAGhpgfPOg9tuE+JbIBBkDGkT4Iceeig7duxg9+7deL1eli9fzu9+97t2y2zevJlbbrmFRx55hPz8/NT7fr8fh8OB1WqloaGBzz77jB/84AcjvQuCDCcTJ552xcLZXl5aV0WOQ8UwDBRZIseu4rKr7G6MgCRx4mSz/1fWBlEVGYtiMK3IRb7Llqps2ZXf97827+vgvD303tt9neg6FE88ksvuaggxLjcrVdlzoLn9yTZVNYVpCMQozbcypdCZGtR0N1gbLZN7BcBdd5lVLju4bAkEAkE6SZsAV1WVW265hR/84Afous4FF1zA1KlTuf/++5k9ezbz5s3jN7/5DaFQiKuuugrYbze4detWbr31ViRJwjAMfvjDH7abvCkYGka7yMjEiaddMaPEwylT8tm4t5mWqIbbbmH21AIsisLh43RC8QRWVSHbrmJVFcbmODhzRmFqYllP+9WT93Y6iiANxROPoc7tn1Hi4bZzZqb2IynquxusjfbCTwcdN99s/it1HIoKBAJB+pAMwxjeMnRpYs+ePcybN49Vq1YxblxmRTxHA21FRtvosRAZw0NPx3tbbYAn1+xqV1xn8WFj+7ze36zYQkMwRkxLYFVl8pxWLjx6LG+W1w76/N63sqJTmk9X6TBWxayBGdWNQQ/mfv7c55R47J2KB1X7I9x70eEDWif0fcDZ0z5fM3/agLd/sDPk1+yqKvj2t+Ff/wJr3+0uRzPJtM62BgcCgSAzGRWTMAXDR3eiY7Q4iBwodBetB3izvJaZJe4+F9fpuN5fLJze6RwPZREkVYbN1c0EIhouu8qkgiyqmkLsagjhcVhQZfhoWwMGcPyk3EFHjIcrt7+v0fkDsfDTAYdhwA9/CHPnHjTiG4TwFghGE0KAH8T09ChdiIyRpysBeN/KikEL5b46xEQ1jZWbG/qVkhKKxPlgewMS4LDI6IkEa7dHsVsVjp2QhcdhYXN1My67eanZVhvihEn5/d6HtqQ7t3+0TO49qHnhBdi1Cw6yYm3btm0DYNKkSWluiUAg6A053Q0QpI+2UVBZklL/X7HRx9gcBy0Rrd3yQmSMPFVNYbLt7cfJQzEQ6nh+6wIRPtrWiEWR2g3Gyqu7d0spr/azeV8zCd3AqkhoCQNfq994KKal2h2IaNhUGZsq0xyJD3ofkk8LPA4L1f4IHodlRFOjFs72pnLEE4aR+v/C2Z1dnARpoqgIHnkELJbelz2AWL16NatXr053MwQCQR8QEfCDmJ6i3N8/ecKocBA50BmuaGvHKPLGqmYkYNYYd2owBj1HqVds9KHKCqV5Ko3hODEtgU2V8TgsGEi0RDQ8Dgsuu0o0rgOmF/lQ7MNQ21f2Z0LqaJncm0ncc889/Pvf/8ZisTB+/Hjuvvtu3G738Gxs5UrT8/sALbYjEAgODIQAP4jpSdwJkZEZdBTKO+uCVPgClOY7uG9lxYAnM3Y8v82ROFkWhXW7m3DbLeQ7LdQFYvhaoql2dNxOVVOYPKdZ3Kc0NwsAwzCoD8Y4YWIe/rAZ7Z5UkMXa7Y0YwMwx2T06jAyUwTi6DMTVJNOqymY6J510Etdddx2qqvLb3/6Whx56iOuvv37oN1RRAd/6FpSXCwEuEAgyGiHAD2J6y6UVIiP9dCw+s6cxzPRiF+PznYOezJg8v+XVfjbu8aMb4LarNIVilFc3k++04s22dbudsTkOYnGdipoAQGuKiYZFkblkThlgRskDUY3jJ+WlXFCKsi1DOpgbrC2gmHA8/Jx88smp/x9xxBGsWLFieDb0q1/BdddBQcHwrF8gEAiGCCHAD2JElLt3MsELPSmU71tZwbjcrCEXiis2+pjmdVFREyCqJWiJxJElieaIxpzJ+d1uJ1lFclqRi33NERqCcVRZ4sp5k1PLjcSxGqyAFhOOR5YXXniBr33ta0O/4q++gg8/hCefHPp1CwQCwRAjBPhBjohyd0+mFVwZLqFY1RSmrMCJy65SWRskGNNxWhVsqkJhtr3b7bQdwFktCnMmp2eAMtjjIlxNhobvfve71NXVdXr/6quv5swzzwTgT3/6E4qicM455wx9A6ZOhQ0bICtr6Nc9Sjj77LPT3QSBQNBHhAAXCLphMJHV4YicD5dQTK63MNtOYbYdCbOwjLsP28mEAdxgj0u6bQ0PFJ544okeP3/xxRd5++23eeKJJ5CGuirl2rXwwQfQWjX5YKVApN4IBKMGYUMoEHTDQC0Al2+o4pq/f86rG/ayqz7IjrpAr5Z+fWG47O86rrfYbSMY1SjOto0Km73+HJfyaj/3razg5899zn0rKyiv9qfd1vBgYPXq1TzyyCP86U9/wuEYhicLd94JijL06x1lbNmyhS1btqS7GQKBoA+ICLhA0A0DiayWV/t5cNVWkCDfaSWqJdjiCzDd6xp0rvZw5ex3nOjZHNEYm+tgX0uUUFxn1hjPsM8NGMwTg74el95SioTgHj7uuOMOYrEYl112GQCHH344t99++9CsfNMmM/f7L38ZmvWNYtasWQPA9OnT09wSgUDQG0KACwTdMJDUhBUbfWgJgzynBUmSsFvMqFy1P4JFHXyEbriEYnKduxpCjMvNare/w53XPRS59n05LsLtJH2sXLly+Fb+wQem88lBnPstEAhGHyIFRSDohoGkJrT1xk5iU2Xqg7GMn9TXU2XUA2G7w1VVVJBmfvhDGA5PcYFAIBhGRARcIOiB/kace/LGztQc6iTpsuMbqe0KtxOBQCAQZAoiAi4QDCELZ3tRFJlpRS5sqkxDMA4GXDl3csanOYzNcdAS0dq9NxICdaS2O1yTWAUCgUAg6C8iAi4YMjKhaE26yRRv7IGQLju+kdquKDwlONA577zz0t0EgUDQR4QAFwwJmVa0Jp30JW0lEwcr6RKoI7ld4XYiOJDxeETfFghGC0KAC4aEkXSYyETx2h8yebCSLoEqhLFAMHg2btwIwOzZs9PcEoFA0BsiB1wwJIyUw0RSvPrD8XbidbBFbkaSdLmNCASCA5tPPvmETz75JN3NEAgEfUBEwAVDwkg5TPQ10p7JUfJ0uY0IBAKBQCDIDEQEXDAkjJTDRF8i7ZkeJU+X24hAIBAIBILMQAhwwZAwkKI1A6Ev4jXTUzyEHZ5AIBAIBAc3IgVFMGSMxES6vljWZXqKh7DDEwgEAoHg4EYIcMGooi/idTRUPBSuH8NHJuf/C9LLgd43vv71r6e7CQKBoI8IAS4YdfQmXtNVUEaQfjLZ4lGQXg6GvpGVlZXuJggEgj6S1hzw1atXs2DBAubPn8/DDz/c6fNYLMbVV1/N/Pnzueiii9izZ0/qs4ceeoj58+ezYMEC3n333ZFstiDDGal8dEHmken5/4L0cTD0jfXr17N+/fp0N0MgEPSBtEXAdV3n9ttv5/HHH8fr9XLhhRcyd+5cpkyZklrmueeew+12s3LlSpYvX869997LH/7wByorK1m+fDnLly/H5/Nx2WWX8cYbb6AoSrp2R5BhiBSPg5NMz/8XpI+DoW8kxfcRRxyR1nYIBILeSVsEfMOGDZSVlVFaWorVamXx4sWsWrWq3TJvvfUW5513HgALFixgzZo1GIbBqlWrWLx4MVarldLSUsrKytiwYUM6dkMgEGQQwuJR0B2ibwgEgkwibQLc5/NRXFyc+tvr9eLz+TotU1JSAoCqqmRnZ9PY2Nin7woEgoMPYfEo6A7RNwQCQSYhfMAFAsEBg8j/F3SH6BsCgSCTSFsOuNfrZd++fam/fT4fXq+30zLV1dUUFxejaRotLS3k5ub26bsCgeDgROT/C7pD9A2BQJAppC0Cfuihh7Jjxw52795NLBZj+fLlzJ07t90yc+fO5aWXXgLgjTfe4IQTTkCSJObOncvy5cuJxWLs3r2bHTt2cNhhh6VjNwQCgUAgyAi+/e1v8+1vfzvdzRAIBH0gbRFwVVW55ZZb+MEPfoCu61xwwQVMnTqV+++/n9mzZzNv3jwuvPBCrr/+eubPn4/H4+G+++4DYOrUqXzta19j0aJFKIrCLbfcIhxQBAKBQHBQY7FYel9IIBBkBJJhGEa6GzEc7Nmzh3nz5rFq1SrGjRMFWAQCgSCTEdfswbN27VoAjj322DS3RCAQ9IaYhCkQCAQCwQHApk2b2LRpU7qbIRAI+oAQ4AKBQCAQCAQCwQgiBLhAIBAIBAKBQDCCCAEuEAgEAoFAIBCMIGlzQRludF0HaOcXLhAIBKOJ4uJiVPWAvUy3Q1yzB09TUxNgTmgVCAQjT3+u2QesC8onn3wi/FAFAsGo5mByBBHXbIFAMNrpzzX7gBXgkUiEjRs3UlhYKDzCBQLBqORgioCLa7ZAIBjtiAi4QCAQCAQCgUCQoYhJmAKBQCAQCAQCwQgiBPggWL16NQsWLGD+/Pk8/PDD6W5Ol8ydO5clS5awdOlSzj///HQ3hxtvvJE5c+Zw9tlnp95ramrisssu46yzzuKyyy7D7/dnVPsefPBBTjnlFJYuXcrSpUt555130ta+6upqli1bxqJFi1i8eDFPPvkkkDnHsLv2ZcoxjEajXHjhhZxzzjksXryYBx54AIDdu3dz0UUXMX/+fK6++mpisVha2ifIPHq7zsdiMa6++mrmz5/PRRdd1G4C5EMPPcT8+fNZsGAB7777bur9TLkuD3TfGhsbWbZsGUceeSS33357u+9s3LiRJUuWMH/+fP77v/+bdD1kH459W7ZsGQsWLEhdx+rr60dkXzoy0H17//33Of/881myZAnnn38+a9asSX1ntJ+3nvYtU85bJwzBgNA0zZg3b56xa9cuIxqNGkuWLDG++uqrdDerE2eccYZRX1+f7mak+Pjjj42NGzcaixcvTr13zz33GA899JBhGIbx0EMPGb/5zW/S1bwu2/fAAw8YjzzySNra1Bafz2ds3LjRMAzDaGlpMc466yzjq6++yphj2F37MuUYJhIJIxAIGIZhGLFYzLjwwguNdevWGT/72c+MV1991TAMw7j55puNZ555Jp3NFGQIfbnOP/3008bNN99sGIZhvPrqq8ZVV11lGIZhfPXVV8aSJUuMaDRq7Nq1y5g3b56haZphGJlxXR7MvgWDQWPt2rXGX/7yF+O2225r950LLrjAWLdunZFIJIzvf//7xttvvz0i+9OW4dq3Sy65xNiwYcOI7EN3DGbfNm3aZOzbt88wDMPYsmWLcfLJJ6e+M9rPW0/7lgnnrStEBHyAbNiwgbKyMkpLS7FarSxevJhVq1alu1kZz7HHHovH42n33qpVqzj33HMBOPfcc3nzzTfT0DKTrtqXSRQVFTFr1iwAXC4XkyZNwufzZcwx7K59mYIkSTidTgA0TUPTNCRJ4sMPP2TBggUAnHfeeeK3LAD6dp1/6623OO+88wBYsGABa9aswTAMVq1axeLFi7FarZSWllJWVsaGDRvSsRtdMph9y8rK4phjjsFms7VbvqamhkAgwBFHHIEkSZx77rlp+S0Nx75lCoPZt5kzZ+L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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 2, figsize=(12, 12))\n", + "\n", + "linear_regression.residuals_vs_fitted(model, ax=axs[0][0])\n", + "linear_regression.residuals_normality(model, ax=axs[0][1])\n", + "linear_regression.scale_location(model, ax=axs[1][0])\n", + "linear_regression.leverage(model, ax=axs[1][1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.3 Multiple Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.551
Model: OLS Adj. R-squared: 0.549
Method: Least Squares F-statistic: 309.0
Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.98e-88
Time: 00:07:16 Log-Likelihood: -1637.5
No. Observations: 506 AIC: 3281.
Df Residuals: 503 BIC: 3294.
Df Model: 2
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 33.2228 0.731 45.458 0.000 31.787 34.659
lstat -1.0321 0.048 -21.416 0.000 -1.127 -0.937
age 0.0345 0.012 2.826 0.005 0.011 0.059
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Omnibus: 124.288 Durbin-Watson: 0.945
Prob(Omnibus): 0.000 Jarque-Bera (JB): 244.026
Skew: 1.362 Prob(JB): 1.02e-53
Kurtosis: 5.038 Cond. No. 201.


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.551\n", + "Model: OLS Adj. R-squared: 0.549\n", + "Method: Least Squares F-statistic: 309.0\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.98e-88\n", + "Time: 00:07:16 Log-Likelihood: -1637.5\n", + "No. Observations: 506 AIC: 3281.\n", + "Df Residuals: 503 BIC: 3294.\n", + "Df Model: 2 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 33.2228 0.731 45.458 0.000 31.787 34.659\n", + "lstat -1.0321 0.048 -21.416 0.000 -1.127 -0.937\n", + "age 0.0345 0.012 2.826 0.005 0.011 0.059\n", + "==============================================================================\n", + "Omnibus: 124.288 Durbin-Watson: 0.945\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 244.026\n", + "Skew: 1.362 Prob(JB): 1.02e-53\n", + "Kurtosis: 5.038 Cond. No. 201.\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "\"\"\"" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"medv ~ lstat + age\", data=boston).fit()\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.734
Model: OLS Adj. R-squared: 0.728
Method: Least Squares F-statistic: 113.5
Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.23e-133
Time: 00:07:16 Log-Likelihood: -1504.9
No. Observations: 506 AIC: 3036.
Df Residuals: 493 BIC: 3091.
Df Model: 12
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 41.6173 4.936 8.431 0.000 31.919 51.316
age 0.0036 0.013 0.271 0.787 -0.023 0.030
chas 2.8400 0.870 3.264 0.001 1.131 4.549
crim -0.1214 0.033 -3.678 0.000 -0.186 -0.057
dis -1.4908 0.202 -7.394 0.000 -1.887 -1.095
indus 0.0135 0.062 0.217 0.829 -0.109 0.136
lstat -0.5520 0.051 -10.897 0.000 -0.652 -0.452
nox -18.7580 3.851 -4.870 0.000 -26.325 -11.191
ptratio -0.9375 0.132 -7.091 0.000 -1.197 -0.678
rad 0.2894 0.067 4.325 0.000 0.158 0.421
rm 3.6581 0.420 8.705 0.000 2.832 4.484
tax -0.0127 0.004 -3.337 0.001 -0.020 -0.005
zn 0.0470 0.014 3.384 0.001 0.020 0.074
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Omnibus: 171.096 Durbin-Watson: 1.077
Prob(Omnibus): 0.000 Jarque-Bera (JB): 709.937
Skew: 1.477 Prob(JB): 6.90e-155
Kurtosis: 7.995 Cond. No. 1.17e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.17e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.734\n", + "Model: OLS Adj. R-squared: 0.728\n", + "Method: Least Squares F-statistic: 113.5\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.23e-133\n", + "Time: 00:07:16 Log-Likelihood: -1504.9\n", + "No. Observations: 506 AIC: 3036.\n", + "Df Residuals: 493 BIC: 3091.\n", + "Df Model: 12 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 41.6173 4.936 8.431 0.000 31.919 51.316\n", + "age 0.0036 0.013 0.271 0.787 -0.023 0.030\n", + "chas 2.8400 0.870 3.264 0.001 1.131 4.549\n", + "crim -0.1214 0.033 -3.678 0.000 -0.186 -0.057\n", + "dis -1.4908 0.202 -7.394 0.000 -1.887 -1.095\n", + "indus 0.0135 0.062 0.217 0.829 -0.109 0.136\n", + "lstat -0.5520 0.051 -10.897 0.000 -0.652 -0.452\n", + "nox -18.7580 3.851 -4.870 0.000 -26.325 -11.191\n", + "ptratio -0.9375 0.132 -7.091 0.000 -1.197 -0.678\n", + "rad 0.2894 0.067 4.325 0.000 0.158 0.421\n", + "rm 3.6581 0.420 8.705 0.000 2.832 4.484\n", + "tax -0.0127 0.004 -3.337 0.001 -0.020 -0.005\n", + "zn 0.0470 0.014 3.384 0.001 0.020 0.074\n", + "==============================================================================\n", + "Omnibus: 171.096 Durbin-Watson: 1.077\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 709.937\n", + "Skew: 1.477 Prob(JB): 6.90e-155\n", + "Kurtosis: 7.995 Cond. No. 1.17e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.17e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"medv ~ \" + \" + \".join(boston.columns.difference([\"medv\"])), data=boston).fit()\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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VIF3.091.071.773.953.992.874.371.87.451.919.02.3
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" + ], + "text/plain": [ + " age chas crim dis indus lstat nox ptratio rad rm tax zn\n", + "VIF 3.09 1.07 1.77 3.95 3.99 2.87 4.37 1.8 7.45 1.91 9.0 2.3" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "linear_regression.variance_inflation_factors(model).to_frame().transpose().round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.734
Model: OLS Adj. R-squared: 0.728
Method: Least Squares F-statistic: 124.1
Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.03e-134
Time: 00:07:17 Log-Likelihood: -1504.9
No. Observations: 506 AIC: 3034.
Df Residuals: 494 BIC: 3085.
Df Model: 11
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 41.5251 4.920 8.441 0.000 31.859 51.191
chas 2.8528 0.868 3.287 0.001 1.148 4.558
crim -0.1214 0.033 -3.683 0.000 -0.186 -0.057
dis -1.5068 0.193 -7.825 0.000 -1.885 -1.128
indus 0.0135 0.062 0.217 0.829 -0.109 0.135
lstat -0.5474 0.048 -11.483 0.000 -0.641 -0.454
nox -18.4851 3.714 -4.978 0.000 -25.782 -11.188
ptratio -0.9346 0.132 -7.099 0.000 -1.193 -0.676
rad 0.2879 0.067 4.322 0.000 0.157 0.419
rm 3.6811 0.411 8.951 0.000 2.873 4.489
tax -0.0127 0.004 -3.333 0.001 -0.020 -0.005
zn 0.0465 0.014 3.379 0.001 0.019 0.074
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Omnibus: 172.506 Durbin-Watson: 1.073
Prob(Omnibus): 0.000 Jarque-Bera (JB): 724.941
Skew: 1.485 Prob(JB): 3.81e-158
Kurtosis: 8.056 Cond. No. 1.15e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.15e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.734\n", + "Model: OLS Adj. R-squared: 0.728\n", + "Method: Least Squares F-statistic: 124.1\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 2.03e-134\n", + "Time: 00:07:17 Log-Likelihood: -1504.9\n", + "No. Observations: 506 AIC: 3034.\n", + "Df Residuals: 494 BIC: 3085.\n", + "Df Model: 11 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 41.5251 4.920 8.441 0.000 31.859 51.191\n", + "chas 2.8528 0.868 3.287 0.001 1.148 4.558\n", + "crim -0.1214 0.033 -3.683 0.000 -0.186 -0.057\n", + "dis -1.5068 0.193 -7.825 0.000 -1.885 -1.128\n", + "indus 0.0135 0.062 0.217 0.829 -0.109 0.135\n", + "lstat -0.5474 0.048 -11.483 0.000 -0.641 -0.454\n", + "nox -18.4851 3.714 -4.978 0.000 -25.782 -11.188\n", + "ptratio -0.9346 0.132 -7.099 0.000 -1.193 -0.676\n", + "rad 0.2879 0.067 4.322 0.000 0.157 0.419\n", + "rm 3.6811 0.411 8.951 0.000 2.873 4.489\n", + "tax -0.0127 0.004 -3.333 0.001 -0.020 -0.005\n", + "zn 0.0465 0.014 3.379 0.001 0.019 0.074\n", + "==============================================================================\n", + "Omnibus: 172.506 Durbin-Watson: 1.073\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 724.941\n", + "Skew: 1.485 Prob(JB): 3.81e-158\n", + "Kurtosis: 8.056 Cond. No. 1.15e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.15e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = smf.ols(\"medv ~ \" + \" + \".join(boston.columns.difference([\"medv\", \"age\"])), data=boston).fit()\n", + "model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.4 Interaction Terms" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.556
Model: OLS Adj. R-squared: 0.553
Method: Least Squares F-statistic: 209.3
Date: Wed, 15 Sep 2021 Prob (F-statistic): 4.86e-88
Time: 00:07:17 Log-Likelihood: -1635.0
No. Observations: 506 AIC: 3278.
Df Residuals: 502 BIC: 3295.
Df Model: 3
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 36.0885 1.470 24.553 0.000 33.201 38.976
lstat -1.3921 0.167 -8.313 0.000 -1.721 -1.063
age -0.0007 0.020 -0.036 0.971 -0.040 0.038
lstat:age 0.0042 0.002 2.244 0.025 0.001 0.008
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Omnibus: 135.601 Durbin-Watson: 0.965
Prob(Omnibus): 0.000 Jarque-Bera (JB): 296.955
Skew: 1.417 Prob(JB): 3.29e-65
Kurtosis: 5.461 Cond. No. 6.88e+03


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 6.88e+03. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.556\n", + "Model: OLS Adj. R-squared: 0.553\n", + "Method: Least Squares F-statistic: 209.3\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 4.86e-88\n", + "Time: 00:07:17 Log-Likelihood: -1635.0\n", + "No. Observations: 506 AIC: 3278.\n", + "Df Residuals: 502 BIC: 3295.\n", + "Df Model: 3 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 36.0885 1.470 24.553 0.000 33.201 38.976\n", + "lstat -1.3921 0.167 -8.313 0.000 -1.721 -1.063\n", + "age -0.0007 0.020 -0.036 0.971 -0.040 0.038\n", + "lstat:age 0.0042 0.002 2.244 0.025 0.001 0.008\n", + "==============================================================================\n", + "Omnibus: 135.601 Durbin-Watson: 0.965\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 296.955\n", + "Skew: 1.417 Prob(JB): 3.29e-65\n", + "Kurtosis: 5.461 Cond. No. 6.88e+03\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 6.88e+03. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "smf.ols(\"medv ~ lstat * age\", data=boston).fit().summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.5 Non-linear Transformations of the Predictors" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.641
Model: OLS Adj. R-squared: 0.639
Method: Least Squares F-statistic: 448.5
Date: Wed, 15 Sep 2021 Prob (F-statistic): 1.56e-112
Time: 00:07:17 Log-Likelihood: -1581.3
No. Observations: 506 AIC: 3169.
Df Residuals: 503 BIC: 3181.
Df Model: 2
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 42.8620 0.872 49.149 0.000 41.149 44.575
lstat -2.3328 0.124 -18.843 0.000 -2.576 -2.090
I(lstat ** 2) 0.0435 0.004 11.628 0.000 0.036 0.051
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Omnibus: 107.006 Durbin-Watson: 0.921
Prob(Omnibus): 0.000 Jarque-Bera (JB): 228.388
Skew: 1.128 Prob(JB): 2.55e-50
Kurtosis: 5.397 Cond. No. 1.13e+03


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.13e+03. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.641\n", + "Model: OLS Adj. R-squared: 0.639\n", + "Method: Least Squares F-statistic: 448.5\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 1.56e-112\n", + "Time: 00:07:17 Log-Likelihood: -1581.3\n", + "No. Observations: 506 AIC: 3169.\n", + "Df Residuals: 503 BIC: 3181.\n", + "Df Model: 2 \n", + "Covariance Type: nonrobust \n", + "=================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "---------------------------------------------------------------------------------\n", + "Intercept 42.8620 0.872 49.149 0.000 41.149 44.575\n", + "lstat -2.3328 0.124 -18.843 0.000 -2.576 -2.090\n", + "I(lstat ** 2) 0.0435 0.004 11.628 0.000 0.036 0.051\n", + "==============================================================================\n", + "Omnibus: 107.006 Durbin-Watson: 0.921\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 228.388\n", + "Skew: 1.128 Prob(JB): 2.55e-50\n", + "Kurtosis: 5.397 Cond. No. 1.13e+03\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.13e+03. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "smf.ols(\"medv ~ lstat + I(lstat**2)\", data=boston).fit().summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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df_residssrdf_diffss_diffFPr(>F)
0504.019472.00.0NaNNaNNaN
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\n", + "
" + ], + "text/plain": [ + " df_resid ssr df_diff ss_diff F Pr(>F)\n", + "0 504.0 19472.0 0.0 NaN NaN NaN\n", + "1 503.0 15347.0 1.0 4125.0 135.0 0.0" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_1 = smf.ols(\"medv ~ lstat\", data=boston).fit()\n", + "model_2 = smf.ols(\"medv ~ lstat + I(lstat**2)\", data=boston).fit()\n", + "sm.stats.anova_lm(model_1, model_2).round(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 2, figsize=(12, 12))\n", + "\n", + "linear_regression.residuals_vs_fitted(model_2, ax=axs[0][0])\n", + "linear_regression.residuals_normality(model_2, ax=axs[0][1])\n", + "linear_regression.scale_location(model_2, ax=axs[1][0])\n", + "linear_regression.leverage(model_2, ax=axs[1][1])" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "def poly(var, degree):\n", + " return \" + \".join(f\"np.power({var}, {i})\" for i in range(1, degree+1))" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: medv R-squared: 0.682
Model: OLS Adj. R-squared: 0.679
Method: Least Squares F-statistic: 214.2
Date: Wed, 15 Sep 2021 Prob (F-statistic): 8.73e-122
Time: 00:07:18 Log-Likelihood: -1550.6
No. Observations: 506 AIC: 3113.
Df Residuals: 500 BIC: 3139.
Df Model: 5
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 67.6997 3.604 18.783 0.000 60.618 74.781
np.power(lstat, 1) -11.9911 1.526 -7.859 0.000 -14.989 -8.994
np.power(lstat, 2) 1.2728 0.223 5.703 0.000 0.834 1.711
np.power(lstat, 3) -0.0683 0.014 -4.747 0.000 -0.097 -0.040
np.power(lstat, 4) 0.0017 0.000 4.143 0.000 0.001 0.003
np.power(lstat, 5) -1.632e-05 4.42e-06 -3.692 0.000 -2.5e-05 -7.63e-06
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Omnibus: 144.085 Durbin-Watson: 0.987
Prob(Omnibus): 0.000 Jarque-Bera (JB): 494.545
Skew: 1.292 Prob(JB): 4.08e-108
Kurtosis: 7.096 Cond. No. 1.37e+08


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.37e+08. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: medv R-squared: 0.682\n", + "Model: OLS Adj. R-squared: 0.679\n", + "Method: Least Squares F-statistic: 214.2\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 8.73e-122\n", + "Time: 00:07:18 Log-Likelihood: -1550.6\n", + "No. Observations: 506 AIC: 3113.\n", + "Df Residuals: 500 BIC: 3139.\n", + "Df Model: 5 \n", + "Covariance Type: nonrobust \n", + "======================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "--------------------------------------------------------------------------------------\n", + "Intercept 67.6997 3.604 18.783 0.000 60.618 74.781\n", + "np.power(lstat, 1) -11.9911 1.526 -7.859 0.000 -14.989 -8.994\n", + "np.power(lstat, 2) 1.2728 0.223 5.703 0.000 0.834 1.711\n", + "np.power(lstat, 3) -0.0683 0.014 -4.747 0.000 -0.097 -0.040\n", + "np.power(lstat, 4) 0.0017 0.000 4.143 0.000 0.001 0.003\n", + "np.power(lstat, 5) -1.632e-05 4.42e-06 -3.692 0.000 -2.5e-05 -7.63e-06\n", + "==============================================================================\n", + "Omnibus: 144.085 Durbin-Watson: 0.987\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 494.545\n", + "Skew: 1.292 Prob(JB): 4.08e-108\n", + "Kurtosis: 7.096 Cond. No. 1.37e+08\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.37e+08. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# this is equivalent to the raw=TRUE option of R's poly\n", + "smf.ols(\"medv ~ \" + poly(\"lstat\", 5), data=boston).fit().summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.6.6 Qualitative Predictors" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 400 entries, 0 to 399\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Sales 400 non-null float64\n", + " 1 CompPrice 400 non-null int64 \n", + " 2 Income 400 non-null int64 \n", + " 3 Advertising 400 non-null int64 \n", + " 4 Population 400 non-null int64 \n", + " 5 Price 400 non-null int64 \n", + " 6 ShelveLoc 400 non-null object \n", + " 7 Age 400 non-null int64 \n", + " 8 Education 400 non-null int64 \n", + " 9 Urban 400 non-null object \n", + " 10 US 400 non-null object \n", + "dtypes: float64(1), int64(7), object(3)\n", + "memory usage: 34.5+ KB\n" + ] + } + ], + "source": [ + "carseats = pd.read_csv('Data/Carseats.csv')\n", + "carseats.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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37.40117100446697Medium5514YesYes
44.15141643340128Bad3813YesNo
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" + ], + "text/plain": [ + " Sales CompPrice Income Advertising Population Price ShelveLoc Age \\\n", + "0 9.50 138 73 11 276 120 Bad 42 \n", + "1 11.22 111 48 16 260 83 Good 65 \n", + "2 10.06 113 35 10 269 80 Medium 59 \n", + "3 7.40 117 100 4 466 97 Medium 55 \n", + "4 4.15 141 64 3 340 128 Bad 38 \n", + "\n", + " Education Urban US \n", + "0 17 Yes Yes \n", + "1 10 Yes Yes \n", + "2 12 Yes Yes \n", + "3 14 Yes Yes \n", + "4 13 Yes No " + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "carseats.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Sales ∼ Advertising + Age + CompPrice + Education + Income + Population + Price + ShelveLoc + US + Urban + Income:Advertising + Price:Age'" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Sales ∼ \" + \" + \".join(carseats.columns.difference([\"Sales\"])) + \" + Income:Advertising + Price:Age\"" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Sales ∼ Advertising + Age + CompPrice + Education + Income + Population + Price + ShelveLoc + US + Urban'" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Sales ∼ \" + \" + \".join(carseats.columns.difference([\"Sales\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: Sales R-squared: 0.876
Model: OLS Adj. R-squared: 0.872
Method: Least Squares F-statistic: 210.0
Date: Wed, 15 Sep 2021 Prob (F-statistic): 6.14e-166
Time: 00:07:18 Log-Likelihood: -564.67
No. Observations: 400 AIC: 1157.
Df Residuals: 386 BIC: 1213.
Df Model: 13
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 6.5756 1.009 6.519 0.000 4.592 8.559
ShelveLoc[T.Good] 4.8487 0.153 31.724 0.000 4.548 5.149
ShelveLoc[T.Medium] 1.9533 0.126 15.531 0.000 1.706 2.201
US[T.Yes] -0.1576 0.149 -1.058 0.291 -0.450 0.135
Urban[T.Yes] 0.1402 0.112 1.247 0.213 -0.081 0.361
Advertising 0.0702 0.023 3.107 0.002 0.026 0.115
Age -0.0579 0.016 -3.633 0.000 -0.089 -0.027
CompPrice 0.0929 0.004 22.567 0.000 0.085 0.101
Education -0.0209 0.020 -1.063 0.288 -0.059 0.018
Income 0.0109 0.003 4.183 0.000 0.006 0.016
Population 0.0002 0.000 0.433 0.665 -0.001 0.001
Price -0.1008 0.007 -13.549 0.000 -0.115 -0.086
Income:Advertising 0.0008 0.000 2.698 0.007 0.000 0.001
Price:Age 0.0001 0.000 0.801 0.424 -0.000 0.000
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Omnibus: 1.281 Durbin-Watson: 2.047
Prob(Omnibus): 0.527 Jarque-Bera (JB): 1.147
Skew: 0.129 Prob(JB): 0.564
Kurtosis: 3.050 Cond. No. 1.31e+05


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.31e+05. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: Sales R-squared: 0.876\n", + "Model: OLS Adj. R-squared: 0.872\n", + "Method: Least Squares F-statistic: 210.0\n", + "Date: Wed, 15 Sep 2021 Prob (F-statistic): 6.14e-166\n", + "Time: 00:07:18 Log-Likelihood: -564.67\n", + "No. Observations: 400 AIC: 1157.\n", + "Df Residuals: 386 BIC: 1213.\n", + "Df Model: 13 \n", + "Covariance Type: nonrobust \n", + "=======================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "---------------------------------------------------------------------------------------\n", + "Intercept 6.5756 1.009 6.519 0.000 4.592 8.559\n", + "ShelveLoc[T.Good] 4.8487 0.153 31.724 0.000 4.548 5.149\n", + "ShelveLoc[T.Medium] 1.9533 0.126 15.531 0.000 1.706 2.201\n", + "US[T.Yes] -0.1576 0.149 -1.058 0.291 -0.450 0.135\n", + "Urban[T.Yes] 0.1402 0.112 1.247 0.213 -0.081 0.361\n", + "Advertising 0.0702 0.023 3.107 0.002 0.026 0.115\n", + "Age -0.0579 0.016 -3.633 0.000 -0.089 -0.027\n", + "CompPrice 0.0929 0.004 22.567 0.000 0.085 0.101\n", + "Education -0.0209 0.020 -1.063 0.288 -0.059 0.018\n", + "Income 0.0109 0.003 4.183 0.000 0.006 0.016\n", + "Population 0.0002 0.000 0.433 0.665 -0.001 0.001\n", + "Price -0.1008 0.007 -13.549 0.000 -0.115 -0.086\n", + "Income:Advertising 0.0008 0.000 2.698 0.007 0.000 0.001\n", + "Price:Age 0.0001 0.000 0.801 0.424 -0.000 0.000\n", + "==============================================================================\n", + "Omnibus: 1.281 Durbin-Watson: 2.047\n", + "Prob(Omnibus): 0.527 Jarque-Bera (JB): 1.147\n", + "Skew: 0.129 Prob(JB): 0.564\n", + "Kurtosis: 3.050 Cond. No. 1.31e+05\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 1.31e+05. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "smf.ols(\"Sales ~ \" + \" + \".join(carseats.columns.difference([\"Sales\"])) + \" + Income:Advertising + Price:Age\", data=carseats).fit().summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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[T.Good][T.Medium]
Bad0.00.0
Good1.00.0
Medium0.01.0
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" + ], + "text/plain": [ + " [T.Good] [T.Medium]\n", + "Bad 0.0 0.0\n", + "Good 1.0 0.0\n", + "Medium 0.0 1.0" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import patsy\n", + "\n", + "levels = [\"Bad\", \"Good\", \"Medium\"]\n", + "contrast = patsy.contrasts.Treatment(reference=\"Bad\").code_without_intercept(levels)\n", + "pd.DataFrame(contrast.matrix, columns=contrast.column_suffixes, index=levels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + }, + "toc-autonumbering": false, + "toc-showcode": false, + "toc-showmarkdowntxt": false, + "toc-showtags": false + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/04_Classification.ipynb b/04_Classification.ipynb new file mode 100644 index 0000000..6db5d88 --- /dev/null +++ b/04_Classification.ipynb @@ -0,0 +1,6887 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chapter 4 - Classification" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "from IPython.display import display\n", + "from pandas.api.types import CategoricalDtype\n", + "from scipy import interpolate, stats\n", + "from sklearn import neighbors, preprocessing\n", + "from sklearn.datasets import make_blobs\n", + "from sklearn.discriminant_analysis import (\n", + " LinearDiscriminantAnalysis,\n", + " QuadraticDiscriminantAnalysis,\n", + ")\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.metrics import RocCurveDisplay, auc, classification_report, log_loss\n", + "from sklearn.model_selection import GridSearchCV\n", + "from sklearn.naive_bayes import GaussianNB\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "\n", + "import classification\n", + "\n", + "plt.style.use(\"seaborn-white\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.1 An Overview of Classification" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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defaultstudentbalanceincomeis_defaultis_student
0NoNo729.52649544361.62507400
1NoYes817.18040712106.13470001
2NoNo1073.54916431767.13894700
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" + ], + "text/plain": [ + " default student balance income is_default is_student\n", + "0 No No 729.526495 44361.625074 0 0\n", + "1 No Yes 817.180407 12106.134700 0 1\n", + "2 No No 1073.549164 31767.138947 0 0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_default = pd.read_csv(\"Data/Default.csv\")\n", + "\n", + "# Note: factorize() returns two objects: a label array and an array with the unique values.\n", + "# We are only interested in the first object.\n", + "df_default[\"is_default\"] = df_default.default.factorize()[0]\n", + "df_default[\"is_student\"] = df_default.student.factorize()[0]\n", + "df_default.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 7))\n", + "gs = mpl.gridspec.GridSpec(1, 4)\n", + "ax1 = plt.subplot(gs[0, :-2])\n", + "ax2 = plt.subplot(gs[0, -2])\n", + "ax3 = plt.subplot(gs[0, -1])\n", + "\n", + "# Take a fraction of the samples where target value (default) is 'no'\n", + "df_no = df_default[df_default.is_default == 0].sample(frac=0.08)\n", + "# Take all samples where target value is 'yes'\n", + "df_yes = df_default[df_default.is_default == 1]\n", + "\n", + "sns.scatterplot(\n", + " data=df_no,\n", + " x=\"balance\",\n", + " y=\"income\",\n", + " s=40,\n", + " marker=\"o\",\n", + " linewidths=\"1\",\n", + " edgecolor=\"blue\",\n", + " facecolors=\"white\",\n", + " alpha=0.8,\n", + " ax=ax1,\n", + ")\n", + "sns.scatterplot(data=df_yes, x=\"balance\", y=\"income\", s=40, color=\"orange\", marker=\"+\", linewidths=\"1\", ax=ax1)\n", + "\n", + "c_palette = {\"No\": \"lightblue\", \"Yes\": \"orange\"}\n", + "sns.boxplot(x=\"default\", y=\"balance\", data=df_default, orient=\"v\", ax=ax2, palette=c_palette)\n", + "sns.boxplot(x=\"default\", y=\"income\", data=df_default, orient=\"v\", ax=ax3, palette=c_palette)\n", + "gs.tight_layout(plt.gcf())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.2 Why Not Linear Regression?" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 7))\n", + "\n", + "sns.regplot(data=df_default, x=\"balance\", y=\"is_default\", ax=ax1, ci=None, marker=\"|\", scatter_kws=dict(color=\"orange\"))\n", + "sns.regplot(\n", + " data=df_default,\n", + " x=\"balance\",\n", + " y=\"is_default\",\n", + " ax=ax2,\n", + " logistic=True,\n", + " ci=None,\n", + " marker=\"|\",\n", + " scatter_kws=dict(color=\"orange\"),\n", + ")\n", + "ax1.set_ylabel(\"Probability of Default\")\n", + "ax2.set_ylabel(\"Probability of Default\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.3 Logistic regression" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 0.079823\n", + " Iterations 10\n" + ] + }, + { + "data": { + "text/html": [ + "
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Coef.Std.Err.zP>|z|[0.0250.975]
Intercept-10.6513310.361169-29.4912873.723665e-191-11.359208-9.943453
balance0.0054990.00022024.9524042.010855e-1370.0050670.005931
\n", + "
" + ], + "text/plain": [ + " Coef. Std.Err. z P>|z| [0.025 0.975]\n", + "Intercept -10.651331 0.361169 -29.491287 3.723665e-191 -11.359208 -9.943453\n", + "balance 0.005499 0.000220 24.952404 2.010855e-137 0.005067 0.005931" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.logit(\"is_default ~ balance\", data=df_default).fit()\n", + "est.summary2().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 0.145434\n", + " Iterations 7\n" + ] + }, + { + "data": { + "text/html": [ + "
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Coef.Std.Err.zP>|z|[0.0250.975]
Intercept-3.5041280.070713-49.5540940.000000-3.642723-3.365532
student[T.Yes]0.4048870.1150193.5201770.0004310.1794540.630320
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" + ], + "text/plain": [ + " Coef. Std.Err. z P>|z| [0.025 0.975]\n", + "Intercept -3.504128 0.070713 -49.554094 0.000000 -3.642723 -3.365532\n", + "student[T.Yes] 0.404887 0.115019 3.520177 0.000431 0.179454 0.630320" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.logit(\"is_default ~ student\", data=df_default).fit()\n", + "est.summary2().tables[1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.3.4 Multiple Logistic Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 0.078577\n", + " Iterations 10\n" + ] + }, + { + "data": { + "text/html": [ + "
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Coef.Std.Err.zP>|z|[0.0250.975]
Intercept-10.8690450.492273-22.0793204.995499e-108-11.833882-9.904209
student[T.Yes]-0.6467760.236257-2.7375956.189022e-03-1.109831-0.183721
balance0.0057370.00023224.7365064.331521e-1350.0052820.006191
income0.0000030.0000080.3698087.115254e-01-0.0000130.000019
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" + ], + "text/plain": [ + " Coef. Std.Err. z P>|z| [0.025 \\\n", + "Intercept -10.869045 0.492273 -22.079320 4.995499e-108 -11.833882 \n", + "student[T.Yes] -0.646776 0.236257 -2.737595 6.189022e-03 -1.109831 \n", + "balance 0.005737 0.000232 24.736506 4.331521e-135 0.005282 \n", + "income 0.000003 0.000008 0.369808 7.115254e-01 -0.000013 \n", + "\n", + " 0.975] \n", + "Intercept -9.904209 \n", + "student[T.Yes] -0.183721 \n", + "balance 0.006191 \n", + "income 0.000019 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est = smf.logit(\"is_default ~ balance + income + student\", data=df_default).fit()\n", + "est.summary2().tables[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "sns.regplot(\n", + " data=df_default[df_default.is_student == 1],\n", + " x=\"balance\",\n", + " y=\"is_default\",\n", + " logistic=True,\n", + " ci=None,\n", + " scatter=False,\n", + " color=\"orange\",\n", + " label=\"Student\",\n", + " ax=ax1,\n", + ")\n", + "sns.regplot(\n", + " data=df_default[df_default.is_student == 0],\n", + " x=\"balance\",\n", + " y=\"is_default\",\n", + " logistic=True,\n", + " ci=None,\n", + " scatter=False,\n", + " label=\"Not Student\",\n", + " ax=ax1,\n", + ")\n", + "ax1.axhline(y=df_default[df_default.is_student == 1][\"is_default\"].mean(), linestyle=\"--\", color=\"orange\", markersize=0)\n", + "ax1.axhline(y=df_default[df_default.is_student == 0][\"is_default\"].mean(), linestyle=\"--\", color=\"blue\", markersize=0)\n", + "ax1.legend()\n", + "ax1.set_ylabel(\"Default Rate\")\n", + "\n", + "sns.boxplot(data=df_default, x=\"student\", y=\"balance\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.4 Generative Models for Classification" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.4.1 Linear Discriminant Analysis for p = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "d1 = stats.norm(loc=-1.25, scale=1)\n", + "d2 = stats.norm(loc=1.25, scale=1)\n", + "xs = np.linspace(-5, 5, 1000)\n", + "\n", + "d1_samples = d1.rvs(20)\n", + "d2_samples = d2.rvs(20)\n", + "mu_bayes = 0\n", + "mu_lda = (d1_samples.mean() + d2_samples.mean()) / 2" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + "sns.lineplot(x=xs, y=d1.pdf(xs), color=\"green\", ax=ax1)\n", + "sns.lineplot(x=xs, y=d2.pdf(xs), color=\"pink\", ax=ax1)\n", + "ax1.axvline(x=mu_bayes, linestyle=\"--\", color=\"black\")\n", + "ax1.set_yticklabels([])\n", + "\n", + "sns.histplot(x=d1_samples, color=\"green\", ax=ax2)\n", + "sns.histplot(x=d2_samples, color=\"pink\", ax=ax2)\n", + "ax2.axvline(x=mu_bayes, linestyle=\"--\", color=\"black\")\n", + "ax2.axvline(x=mu_lda, linestyle=\"-\", color=\"black\")\n", + "ax2.set_xlim(-3.5, 4);" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The Bayes error rate is 10.46%, the LDA error rate is 10.45%\n" + ] + } + ], + "source": [ + "d1_samples = d1.rvs(10000)\n", + "d2_samples = d2.rvs(10000)\n", + "mu_bayes = 0\n", + "mu_lda = (d1_samples.mean() + d2_samples.mean()) / 2\n", + "\n", + "bayes_error_rate = (\n", + " (len(d1_samples[d1_samples > mu_bayes]) + len(d2_samples[d2_samples < mu_bayes]))\n", + " / (len(d1_samples) + len(d2_samples))\n", + " * 100\n", + ")\n", + "lda_error_rate = (\n", + " (len(d1_samples[d1_samples > mu_lda]) + len(d2_samples[d2_samples < mu_lda]))\n", + " / (len(d1_samples) + len(d2_samples))\n", + " * 100\n", + ")\n", + "print(f\"The Bayes error rate is {bayes_error_rate:.2f}%, the LDA error rate is {lda_error_rate:.2f}%\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.4.2 Linear Discriminant Analysis for p >1" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "from mpl_toolkits import mplot3d" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "mu = np.array([0, 0])\n", + "cov1 = np.array([[1, 0], [0, 1]])\n", + "cov2 = np.array([[1, -0.7], [-0.7, 1]])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5), subplot_kw={\"projection\": \"3d\"})\n", + "\n", + "\n", + "def gaussian(x, y, mu, cov):\n", + " return stats.multivariate_normal(mu, cov).pdf(np.stack((x, y), axis=2))\n", + "\n", + "\n", + "x = np.linspace(-2.4, 2.5, 100)\n", + "y = np.linspace(-2.5, 2.5, 100)\n", + "\n", + "X, Y = np.meshgrid(x, y)\n", + "Z1 = gaussian(X, Y, mu, cov1)\n", + "Z2 = gaussian(X, Y, mu, cov2)\n", + "\n", + "ax1.contour3D(X, Y, Z1, 100, cmap=\"viridis\")\n", + "ax1.set_xlabel(\"x1\")\n", + "ax1.set_ylabel(\"x2\")\n", + "ax1.set_zlabel(\"\")\n", + "ax1.view_init(45, 35)\n", + "\n", + "ax2.contour3D(X, Y, Z2, 100, cmap=\"viridis\")\n", + "ax2.set_xlabel(\"x1\")\n", + "ax2.set_ylabel(\"x2\")\n", + "ax2.set_zlabel(\"\")\n", + "ax2.view_init(45, 35)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "cov = np.array([[1, 0.4], [0.4, 1]])\n", + "mu1 = np.array([-1, -1])\n", + "mu2 = np.array([1, 2])\n", + "mu3 = np.array([2, 1])" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# 95% confidence elipse\n", + "eigen_values, eigen_vectors = np.linalg.eig(cov)\n", + "lambda1, lambda2 = eigen_values\n", + "\n", + "if lambda1 > lambda2:\n", + " largest_eigen_vector = eigen_vectors[:, 0]\n", + "else:\n", + " largest_eigen_vector = eigen_vectors[:, 1]\n", + "theta = np.arctan(largest_eigen_vector[1] / largest_eigen_vector[0]) * 180 / np.pi\n", + "\n", + "chi2_critical_value = stats.chi2(df=2).ppf(0.95)\n", + "width = 2 * np.sqrt(chi2_critical_value * lambda1)\n", + "height = 2 * np.sqrt(chi2_critical_value * lambda2)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# grid of points to plot the bayes and LDA regions/lines\n", + "N_points_grid = 200\n", + "x_lines = np.linspace(-5, 5, 100 * N_points_grid)\n", + "xx, yy = np.meshgrid(np.linspace(-5, 5, N_points_grid), np.linspace(-5, 5, N_points_grid))\n", + "X = np.c_[xx.ravel(), yy.ravel()]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "def bayes_regions_lda(mu1, mu2, mu3, cov, N, X, pi1=1, pi2=1, pi3=1):\n", + " inv_cov = np.linalg.inv(cov)\n", + " delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mu1)) - 1 / 2 * np.dot(mu1, np.dot(inv_cov, mu1)) + np.log(pi1)\n", + " delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mu2)) - 1 / 2 * np.dot(mu2, np.dot(inv_cov, mu2)) + np.log(pi2)\n", + " delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mu3)) - 1 / 2 * np.dot(mu3, np.dot(inv_cov, mu3)) + np.log(pi3)\n", + " region1 = np.logical_and(delta1_fun(X) > delta2_fun(X), delta1_fun(X) > delta3_fun(X))\n", + " region2 = np.logical_and(delta2_fun(X) > delta1_fun(X), delta2_fun(X) > delta3_fun(X))\n", + " region3 = np.logical_and(delta3_fun(X) > delta1_fun(X), delta3_fun(X) > delta2_fun(X))\n", + "\n", + " return region1, region2, region3, delta1_fun, delta2_fun, delta3_fun" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "def bayes_lines_lda(mu1, mu2, mu3, cov, N, xs):\n", + " inv_cov = np.linalg.inv(cov)\n", + " x_coef_12, y_coef_12 = np.dot(inv_cov, mu1 - mu2)\n", + " cte_coef_12 = -1 / 2 * np.dot(mu1 + mu2, np.dot(inv_cov, mu1 - mu2))\n", + "\n", + " x_coef_13, y_coef_13 = np.dot(inv_cov, mu1 - mu3)\n", + " cte_coef_13 = -1 / 2 * np.dot(mu1 + mu3, np.dot(inv_cov, mu1 - mu3))\n", + "\n", + " x_coef_23, y_coef_23 = np.dot(inv_cov, mu2 - mu3)\n", + " cte_coef_23 = -1 / 2 * np.dot(mu2 + mu3, np.dot(inv_cov, mu2 - mu3))\n", + "\n", + " # Bayes lines\n", + " ys_12 = -(x_coef_12 * xs + cte_coef_12) / y_coef_12\n", + " ys_13 = -(x_coef_13 * xs + cte_coef_13) / y_coef_13\n", + " ys_23 = -(x_coef_23 * xs + cte_coef_23) / y_coef_23\n", + " center_idx = np.argmin(np.abs(ys_12 - ys_13))\n", + "\n", + " return ys_12, ys_13, ys_23, center_idx" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "bayes_region1, bayes_region2, bayes_region3, bayes_delta1, bayes_delta2, bayes_delta3 = bayes_regions_lda(\n", + " mu1, mu2, mu3, cov, N_points_grid, X\n", + ")\n", + "bayes_line_12, bayes_line_13, bayes_line_23, bayes_center_idx = bayes_lines_lda(\n", + " mu1, mu2, mu3, cov, 100 * N_points_grid, x_lines\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "N_sample = 20\n", + "N_classes = 3\n", + "sample1 = stats.multivariate_normal(mean=mu1, cov=cov).rvs(N_sample)\n", + "sample2 = stats.multivariate_normal(mean=mu2, cov=cov).rvs(N_sample)\n", + "sample3 = stats.multivariate_normal(mean=mu3, cov=cov).rvs(N_sample)\n", + "\n", + "# LDA prediction\n", + "pi1 = pi2 = pi3 = N_sample / N_classes # priors\n", + "est_mu1 = 1 / N_sample * np.sum(sample1, axis=0)\n", + "est_mu2 = 1 / N_sample * np.sum(sample2, axis=0)\n", + "est_mu3 = 1 / N_sample * np.sum(sample3, axis=0)\n", + "est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False)) / N_classes" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "lda_region1, lda_region2, lda_region3, lda_delta1, lda_delta2, lda_delta3 = bayes_regions_lda(\n", + " est_mu1, est_mu2, est_mu3, est_cov, N_points_grid, X, pi1, pi2, pi3\n", + ")\n", + "lda_line_12, lda_line_13, lda_line_23, lda_center_idx = bayes_lines_lda(\n", + " est_mu1, est_mu2, est_mu3, est_cov, 100 * N_points_grid, x_lines\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "from matplotlib.patches import Ellipse" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bayes accuracy: 100.0%, 70.0%, 75.0%\n", + "LDA accuracy: 90.0%, 90.0%, 75.0%\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "\n", + "ellipse1 = Ellipse(mu1, width=width, height=height, angle=theta, facecolor=\"none\", edgecolor=\"green\")\n", + "ellipse2 = Ellipse(mu2, width=width, height=height, angle=theta, facecolor=\"none\", edgecolor=\"orange\")\n", + "ellipse3 = Ellipse(mu3, width=width, height=height, angle=theta, facecolor=\"none\", edgecolor=\"blue\")\n", + "ax1.add_patch(ellipse1)\n", + "ax1.add_patch(ellipse2)\n", + "ax1.add_patch(ellipse3)\n", + "\n", + "# Bayes lines\n", + "ax1.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color=\"black\")\n", + "ax1.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color=\"black\")\n", + "ax1.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color=\"black\")\n", + "# Bayes regions\n", + "ax1.contourf(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.1, colors=\"green\", levels=[0.5, 1.0])\n", + "ax1.contourf(xx, yy, bayes_region2.reshape(xx.shape), alpha=0.1, colors=\"orange\", levels=[0.5, 1.0])\n", + "ax1.contourf(xx, yy, bayes_region3.reshape(xx.shape), alpha=0.1, colors=\"blue\", levels=[0.5, 1.0])\n", + "\n", + "ax1.set_xlim(-5, 5)\n", + "ax1.set_ylim(-5, 5)\n", + "\n", + "# sample points\n", + "ax2.scatter(sample1[:, 0], sample1[:, 1], color=\"green\")\n", + "ax2.scatter(sample2[:, 0], sample2[:, 1], color=\"orange\")\n", + "ax2.scatter(sample3[:, 0], sample3[:, 1], color=\"blue\")\n", + "\n", + "# Bayes lines\n", + "ax2.plot(x_lines[:bayes_center_idx], bayes_line_12[:bayes_center_idx], \"--\", color=\"black\")\n", + "ax2.plot(x_lines[bayes_center_idx:], bayes_line_13[bayes_center_idx:], \"--\", color=\"black\")\n", + "ax2.plot(x_lines[bayes_center_idx:], bayes_line_23[bayes_center_idx:], \"--\", color=\"black\")\n", + "\n", + "# LDA lines\n", + "ax2.plot(x_lines[:lda_center_idx], lda_line_12[:lda_center_idx], \"-\", color=\"black\")\n", + "ax2.plot(x_lines[lda_center_idx:], lda_line_13[lda_center_idx:], \"-\", color=\"black\")\n", + "ax2.plot(x_lines[lda_center_idx:], lda_line_23[lda_center_idx:], \"-\", color=\"black\")\n", + "# LDA regions\n", + "ax2.contourf(xx, yy, lda_region1.reshape(xx.shape), alpha=0.1, colors=\"green\", levels=[0.5, 1.0])\n", + "ax2.contourf(xx, yy, lda_region2.reshape(xx.shape), alpha=0.1, colors=\"orange\", levels=[0.5, 1.0])\n", + "ax2.contourf(xx, yy, lda_region3.reshape(xx.shape), alpha=0.1, colors=\"blue\", levels=[0.5, 1.0])\n", + "\n", + "ax2.set_xlim(-5, 5)\n", + "ax2.set_ylim(-5, 5)\n", + "\n", + "pred_green = (\n", + " sum([np.logical_and(bayes_delta1(x) > bayes_delta2(x), bayes_delta1(x) > bayes_delta3(x)) for x in sample1])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "pred_orange = (\n", + " sum([np.logical_and(bayes_delta2(x) > bayes_delta1(x), bayes_delta2(x) > bayes_delta3(x)) for x in sample2])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "pred_blue = (\n", + " sum([np.logical_and(bayes_delta3(x) > bayes_delta2(x), bayes_delta3(x) > bayes_delta1(x)) for x in sample3])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "print(f\"Bayes accuracy: {pred_green:.1f}%, {pred_orange:.1f}%, {pred_blue:.1f}%\")\n", + "est_pred_green = (\n", + " sum([np.logical_and(lda_delta1(x) > lda_delta2(x), lda_delta1(x) > lda_delta3(x)) for x in sample1])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "est_pred_orange = (\n", + " sum([np.logical_and(lda_delta2(x) > lda_delta1(x), lda_delta2(x) > lda_delta3(x)) for x in sample2])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "est_pred_blue = (\n", + " sum([np.logical_and(lda_delta3(x) > lda_delta1(x), lda_delta3(x) > lda_delta2(x)) for x in sample3])\n", + " / N_sample\n", + " * 100\n", + ")\n", + "print(f\"LDA accuracy: {est_pred_green:.1f}%, {est_pred_green:.1f}%, {est_pred_blue:.1f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "X = df_default[[\"balance\", \"income\", \"is_student\"]].values\n", + "y = df_default.default.values\n", + "\n", + "lda = LinearDiscriminantAnalysis(solver=\"svd\").fit(X, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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"outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ], + "text/plain": [ + " Real \n", + " No Yes Total\n", + "Predicted No 9435 140 9575\n", + " Yes 232 193 425\n", + " Total 9667 333 10000" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_pred = lda.predict_proba(X)[:, 1] > 0.2\n", + "y_pred = np.array([\"Yes\" if y_i else \"No\" for y_i in y_pred])\n", + "classification.get_confusion_matrix(lda, X, y, labels=[\"No\", \"Yes\"], y_pred=y_pred)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " No 0.985 0.976 0.981 9667\n", + " Yes 0.454 0.580 0.509 333\n", + "\n", + " accuracy 0.963 10000\n", + " macro avg 0.720 0.778 0.745 10000\n", + "weighted avg 0.968 0.963 0.965 10000\n", + "\n" + ] + } + ], + "source": [ + "print(classification_report(y, y_pred, target_names=[\"No\", \"Yes\"], digits=3))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.4.3 Quadratic Discriminant Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "mean1 = np.array([-1, -1])\n", + "mean2 = np.array([1, 1])\n", + "cov1 = np.array([[1, 0.4], [0.4, 1]])\n", + "cov2 = np.array([[1, 0.4], [0.4, 1]])\n", + "cov3 = np.array([[1, -0.4], [-0.4, 1]])" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "N = 500\n", + "K = 2\n", + "sample1 = np.random.multivariate_normal(mean1, cov1, (N,))\n", + "sample2 = np.random.multivariate_normal(mean2, cov2, (N,))" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "def bayes_regions_qda(mu1, mu2, cov1, cov2, N, X, pi1=1, pi2=1):\n", + " inv_cov1 = np.linalg.inv(cov1)\n", + " inv_cov2 = np.linalg.inv(cov2)\n", + " delta1_fun = lambda Xin: -1 / 2 * ((Xin - mean1).dot(inv_cov1) * (Xin - mean1)).sum(axis=1) + np.log(pi1)\n", + " delta2_fun = lambda Xin: -1 / 2 * ((Xin - mean2).dot(inv_cov2) * (Xin - mean2)).sum(axis=1) + np.log(pi2)\n", + " region1 = delta1_fun(X) > delta2_fun(X)\n", + " region2 = delta2_fun(X) > delta1_fun(X)\n", + "\n", + " return region1, region2, delta1_fun, delta2_fun" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_QDA(mean1, mean2, cov1, cov2, ax):\n", + "\n", + " # grid of points to plot the bayes and LDA regions/lines\n", + " N_points_grid = 200\n", + " xx, yy = np.meshgrid(np.linspace(-4, 4, N_points_grid), np.linspace(-4, 3, N_points_grid))\n", + " X = np.c_[xx.ravel(), yy.ravel()]\n", + "\n", + " N = 100\n", + " K = 2\n", + " sample1 = np.random.multivariate_normal(mean1, cov1, (N,))\n", + " sample2 = np.random.multivariate_normal(mean2, cov2, (N,))\n", + "\n", + " pi1 = pi2 = N / K\n", + "\n", + " bayes_region1, bayes_region2, bayes_delta1, bayes_delta2 = bayes_regions_qda(\n", + " mean1, mean2, cov1, cov2, N_points_grid, X, pi1, pi2\n", + " )\n", + "\n", + " # prediction\n", + " est_mean1 = 1 / N * np.sum(sample1, axis=0)\n", + " est_mean2 = 1 / N * np.sum(sample2, axis=0)\n", + " est_cov1 = np.cov(sample1, rowvar=False)\n", + " est_cov2 = np.cov(sample2, rowvar=False)\n", + " qda_region1, qda_region2, qda_delta1, qda_delta2 = bayes_regions_qda(\n", + " est_mean1, est_mean2, est_cov1, est_cov2, N_points_grid, X, pi1, pi2\n", + " )\n", + "\n", + " # Bayes regions\n", + " ax.contourf(xx, yy, qda_region1.reshape(xx.shape), alpha=0.1, colors=\"orange\", levels=[0.5, 1.0])\n", + " ax.contourf(xx, yy, qda_region2.reshape(xx.shape), alpha=0.1, colors=\"blue\", levels=[0.5, 1.0])\n", + "\n", + " # Samples\n", + " ax.scatter(\n", + " sample1[:, 0],\n", + " sample1[:, 1],\n", + " s=20,\n", + " c=\"orange\",\n", + " marker=\"o\",\n", + " )\n", + " ax.scatter(\n", + " sample2[:, 0],\n", + " sample2[:, 1],\n", + " s=20,\n", + " c=\"blue\",\n", + " marker=\"o\",\n", + " )\n", + " ax.set_xlabel(\"X1\")\n", + " ax.set_ylabel(\"X2\")\n", + "\n", + " # lines\n", + " ax.contour(xx, yy, qda_region1.reshape(xx.shape), alpha=0.5, colors=\"green\")\n", + " ax.contour(xx, yy, bayes_region1.reshape(xx.shape), alpha=0.5, colors=\"purple\")\n", + "\n", + " ax.set_xlim(-4, 4)\n", + " ax.set_ylim(-4, 3)\n", + "\n", + " pred_green = sum(bayes_delta1(sample1) > bayes_delta2(sample1)) / N * 100\n", + " pred_orange = sum(bayes_delta2(sample2) > bayes_delta1(sample2)) / N * 100\n", + " print(\"Bayes accuracy: \", np.round(pred_green, 1), np.round(pred_orange, 1))\n", + " est_pred_green = sum(qda_delta1(sample1) > qda_delta2(sample1)) / N * 100\n", + " est_pred_orange = sum(qda_delta2(sample2) > qda_delta1(sample2)) / N * 100\n", + " print(\"QDA accuracy: \", np.round(est_pred_green, 1), np.round(est_pred_orange, 1))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bayes accuracy: 90.0 88.0\n", + "QDA accuracy: 90.0 88.0\n", + "Bayes accuracy: 88.0 94.0\n", + "QDA accuracy: 89.0 92.0\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "plot_QDA(mean1, mean2, cov1, cov2, ax=ax1)\n", + "plot_QDA(mean1, mean2, cov1, cov3, ax=ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.4.4 Naive Bayes" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "N = 1000\n", + "pi1 = pi2 = N / 2\n", + "d11 = stats.norm(loc=0, scale=0.8)\n", + "f11 = d11.rvs(N)\n", + "d21 = stats.norm(loc=-1.75, scale=0.75)\n", + "f21 = d21.rvs(N)\n", + "\n", + "d12 = stats.norm(loc=2, scale=0.5)\n", + "f12 = d12.rvs(N)\n", + "d22 = stats.norm(loc=0, scale=1.25)\n", + "f22 = d22.rvs(N)\n", + "\n", + "d13 = [0.2, 0.3, 0.5]\n", + "f13 = np.random.choice(a=[1, 2, 3], size=N, p=d13)\n", + "d23 = [0.6, 0.1, 0.3]\n", + "f23 = np.random.choice(a=[1, 2, 3], size=N, p=d23)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " Real \n", + " No Yes Total\n", + "Predicted No 9338 128 9466\n", + " Yes 329 205 534\n", + " Total 9667 333 10000" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_pred = gnb.predict_proba(X)[:, 1] > 0.2\n", + "y_pred = np.array([\"Yes\" if y_i else \"No\" for y_i in y_pred])\n", + "classification.get_confusion_matrix(gnb, X, y, labels=[\"No\", \"Yes\"], y_pred=y_pred)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.5 A Comparison of Classification Methods" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.5.2 An Empirical Comparison" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "N_datasets = 100\n", + "scenarios_samples = []\n", + "\n", + "# scenario 1\n", + "N_samples = 20\n", + "scenario1_sample0 = np.random.multivariate_normal([0, 0], cov=np.eye(2), size=(N_datasets, N_samples))\n", + "scenario1_sample0 = np.concatenate((scenario1_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario1_sample1 = np.random.multivariate_normal([1, 1], cov=np.eye(2), size=(N_datasets, N_samples))\n", + "scenario1_sample1 = np.concatenate((scenario1_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario1_sample0, scenario1_sample1), axis=1))\n", + "\n", + "# scenario 2\n", + "N_samples = 20\n", + "cov = np.array([[1, -0.5], [-0.5, 1]])\n", + "scenario2_sample0 = np.random.multivariate_normal([0, 0], cov=cov, size=(N_datasets, N_samples))\n", + "scenario2_sample0 = np.concatenate((scenario2_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario2_sample1 = np.random.multivariate_normal([1, 1], cov=cov, size=(N_datasets, N_samples))\n", + "scenario2_sample1 = np.concatenate((scenario2_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario2_sample0, scenario2_sample1), axis=1))\n", + "\n", + "# scenario 3\n", + "N_samples = 50\n", + "df = 2\n", + "cov = np.array([[1, -0.5], [-0.5, 1]])\n", + "scenario3_sample0 = (\n", + " stats.multivariate_t(loc=[0, 0], shape=cov, df=df).rvs(N_datasets * N_samples).reshape(N_datasets, N_samples, -1)\n", + ")\n", + "scenario3_sample0 = np.concatenate((scenario3_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario3_sample1 = (\n", + " stats.multivariate_t(loc=[1, 1], shape=cov, df=df).rvs(N_datasets * N_samples).reshape(N_datasets, N_samples, -1)\n", + ")\n", + "scenario3_sample1 = np.concatenate((scenario3_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario3_sample0, scenario3_sample1), axis=1))\n", + "\n", + "# scenario 4\n", + "N_samples = 20\n", + "scenario4_sample0 = np.random.multivariate_normal(\n", + " [0, 0], cov=np.array([[1, 0.5], [0.5, 1]]), size=(N_datasets, N_samples)\n", + ")\n", + "scenario4_sample0 = np.concatenate((scenario4_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario4_sample1 = np.random.multivariate_normal(\n", + " [1, 1], cov=np.array([[1, -0.5], [-0.5, 1]]), size=(N_datasets, N_samples)\n", + ")\n", + "scenario4_sample1 = np.concatenate((scenario4_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario4_sample0, scenario4_sample1), axis=1))\n", + "\n", + "# scenario 5\n", + "N_samples = 20\n", + "centers = N_samples // 2\n", + "X, y = make_blobs(\n", + " n_samples=N_datasets * 2 * N_samples, centers=centers, cluster_std=0.5, n_features=2, center_box=(-3, 3)\n", + ")\n", + "y = (y > centers // 2).astype(\"int\").reshape(N_datasets, 2 * N_samples, 1)\n", + "scenario5_sample = np.concatenate((X.reshape(N_datasets, 2 * N_samples, 2), y), axis=2)\n", + "scenarios_samples.append(scenario5_sample)\n", + "\n", + "# scenario 6\n", + "N_samples = 6\n", + "scenario6_sample0 = np.random.multivariate_normal([0, 0], cov=np.eye(2), size=(N_datasets, N_samples))\n", + "scenario6_sample0 = np.concatenate((scenario6_sample0, np.zeros((N_datasets, N_samples, 1))), axis=2)\n", + "scenario6_sample1 = np.random.multivariate_normal([1, 1], cov=2 * np.eye(2), size=(N_datasets, N_samples))\n", + "scenario6_sample1 = np.concatenate((scenario6_sample1, np.ones((N_datasets, N_samples, 1))), axis=2)\n", + "scenarios_samples.append(np.concatenate((scenario6_sample0, scenario6_sample1), axis=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot scenario 5 non linear function\n", + "scenario5_sample_full = scenarios_samples[4]\n", + "scenario5_sample_full_one = scenario5_sample_full[scenario5_sample_full[:, :, 2] == 1]\n", + "scenario5_sample_full_zero = scenario5_sample_full[scenario5_sample_full[:, :, 2] == 0]\n", + "plt.scatter(x=scenario5_sample_full_one[:, 0], y=scenario5_sample_full_one[:, 1], c=\"blue\", s=4)\n", + "plt.scatter(x=scenario5_sample_full_zero[:, 0], y=scenario5_sample_full_zero[:, 1], c=\"orange\", s=4)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "methods = [\"knn_1\", \"knn_cv\", \"lda\", \"logistic\", \"gnb\", \"qda\"]\n", + "colors_palette = {\n", + " \"knn_1\": \"deepskyblue\",\n", + " \"knn_cv\": \"deepskyblue\",\n", + " \"lda\": \"green\",\n", + " \"logistic\": \"green\",\n", + " \"gnb\": \"pink\",\n", + " \"qda\": \"red\",\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Scenario 1.\n", + "Scenario 2.\n", + "Scenario 3.\n", + "Scenario 4.\n", + "Scenario 5.\n", + "Scenario 6.\n" + ] + } + ], + "source": [ + "scenario_scores = []\n", + "for num, scenario_samples in enumerate(scenarios_samples):\n", + " print(f\"Scenario {num+1}.\")\n", + " X_test = scenario_samples.reshape((-1, 3))[:, :-1]\n", + " y_test = scenario_samples.reshape((-1, 3))[:, -1]\n", + " for dataset in scenario_samples:\n", + " X_train = dataset[:, :-1]\n", + " y_train = dataset[:, -1]\n", + " lda = LinearDiscriminantAnalysis(solver=\"svd\").fit(X_train, y_train).score(X_test, y_test)\n", + " qda = QuadraticDiscriminantAnalysis().fit(X_train, y_train).score(X_test, y_test)\n", + " gnb = GaussianNB().fit(X_train, y_train).score(X_test, y_test)\n", + " logistic = LogisticRegression().fit(X_train, y_train).score(X_test, y_test)\n", + " knn_1 = KNeighborsClassifier(n_neighbors=1).fit(X_train, y_train).score(X_test, y_test)\n", + " knn_cv = (\n", + " GridSearchCV(KNeighborsClassifier(), {\"n_neighbors\": np.arange(1, 10)}, cv=5)\n", + " .fit(X_train, y_train)\n", + " .best_estimator_.score(X_test, y_test)\n", + " )\n", + " scenario_scores.append([num + 1, 1 - knn_1, 1 - knn_cv, 1 - lda, 1 - logistic, 1 - gnb, 1 - qda])\n", + "\n", + "scenarios_scores = pd.DataFrame(scenario_scores, columns=[\"scenario\", *methods])" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " season mnth day hr holiday weekday workingday weathersit temp atemp \\\n", + "1 1 Jan 1 0 0 6 0 clear 0.24 0.2879 \n", + "2 1 Jan 1 1 0 6 0 clear 0.22 0.2727 \n", + "3 1 Jan 1 2 0 6 0 clear 0.22 0.2727 \n", + "\n", + " hum windspeed casual registered bikers \n", + "1 0.81 0.0 3 13 16 \n", + "2 0.80 0.0 8 32 40 \n", + "3 0.80 0.0 5 27 32 " + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_bikeshare = pd.read_csv(\"Data/Bikeshare.csv\", index_col=0)\n", + "month_type = CategoricalDtype(\n", + " categories=[\"Jan\", \"Feb\", \"March\", \"April\", \"May\", \"June\", \"July\", \"Aug\", \"Sept\", \"Oct\", \"Nov\", \"Dec\"], ordered=True\n", + ")\n", + "hr_type = CategoricalDtype(categories=range(24), ordered=True)\n", + "df_bikeshare.mnth = df_bikeshare.mnth.astype(month_type)\n", + "df_bikeshare.hr = df_bikeshare.hr.astype(hr_type)\n", + "df_bikeshare.head(3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.6.1 Linear Regression on the Bikeshare Data" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecoefstd errtP>|t|[0.0250.975]clean_name
0Intercept73.59745.13214.3400.00063.53783.658Intercept
1C(weathersit)[T.cloudy/misty]-12.89031.964-6.5620.000-16.741-9.040C(weathersit)[T.cloudy/misty]
2C(weathersit)[T.heavy rain/snow]-109.744676.667-1.4310.152-260.03140.542C(weathersit)[T.heavy rain/snow]
3C(weathersit)[T.light rain/snow]-66.49442.965-22.4250.000-72.307-60.682C(weathersit)[T.light rain/snow]
40workingday1.26961.7840.7110.477-2.2284.768workingday
41temp157.209410.26115.3210.000137.095177.324temp
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" + ], + "text/plain": [ + " name coef std err t P>|t| \\\n", + "0 Intercept 73.5974 5.132 14.340 0.000 \n", + "1 C(weathersit)[T.cloudy/misty] -12.8903 1.964 -6.562 0.000 \n", + "2 C(weathersit)[T.heavy rain/snow] -109.7446 76.667 -1.431 0.152 \n", + "3 C(weathersit)[T.light rain/snow] -66.4944 2.965 -22.425 0.000 \n", + "40 workingday 1.2696 1.784 0.711 0.477 \n", + "41 temp 157.2094 10.261 15.321 0.000 \n", + "\n", + " [0.025 0.975] clean_name \n", + "0 63.537 83.658 Intercept \n", + "1 -16.741 -9.040 C(weathersit)[T.cloudy/misty] \n", + "2 -260.031 40.542 C(weathersit)[T.heavy rain/snow] \n", + "3 -72.307 -60.682 C(weathersit)[T.light rain/snow] \n", + "40 -2.228 4.768 workingday \n", + "41 137.095 177.324 temp " + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikeshare_ols = smf.ols(\"bikers ~ workingday + temp + C(weathersit) + C(mnth, Sum) + C(hr, Sum)\", df_bikeshare).fit()\n", + "table = bikeshare_ols.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+BKzRWhcCa8zPRYgLRH10X95mJf9nyWkyK9mLUFnp6tCo9HsyKi2EEOX17STGRpPuOLaJ4NOzU9i+v5meXlmHYSQsS6S11vu11hvNj1uA7UAOcCnwmLnZY8AXLQlQ+NT6snoSY6OZmZMakOP1nZX87E2nMDMnhac27CUuwO3bQkGorHRVlJ3CedPH8eh7u2nqCI7kXgghrFJe38aE0YnH3Nt/Rk4qXT0uSuvafBRZZAmKGmmlVB5wPLABGKe13m8+VY1R+iFC3IayBk6cOAq7n+ujj+SIt5OREk9VUycvfFJBe3dPQI8fCkKppvy7ZxfS0tnD32VUWggR4cob2pl4DGUdHjNyjPO/1EmPjOWJtFLKAbwAfE9rfdiwmNbajVE/LUJYQ1s3uqYlYGUd3lw8K5sOZy9rttdaFkOwSoqL4abT80Nipavp2amcWzSOR9ftpjlISk6EECLQXC43exvah70YizeTxjpIsEdL544RsjSRVkrZMZLop7TW/zYfrlFKZZnPZwGS+YS4D3cbS3afnD/ashjmThpNRnIcr2yusiyGYPW2ruWBd8v493dOPVRTvmhm8K50tfTsQpo7e/jHe3usDkUIISxR09JJd4+LCSPsId1XdJSNouwUtlXKhMORsLJrhw14BNiutf5jn6deBq4Bfmv+/5IF4QkfWl/WQLw9ipk5aZbFEB1l48JZWTy1YS/NnU5S4oNnlNVK3T0ufv3qdgAKM5K567JZdDh7SbBH4wjSn9GMnFTOmTaOh9eWce1pefJa+oFS6lHgIqBWaz3DfOznwI1AnbnZj7XWr5vP3QEsBnqB72qtVwY8aCEiyJ4DRseOPB+MSAPMyE7h+U8qcLncREUdW811pLFyRPo04GrgLKXUJvPfIowE+lyl1C7gHPNzEcLWl9UzZ+JoYmOsrSS6eHY23T0uVm+rsTSOYPL4B3soO9DGTy+aRmxMFI54O+nJ8UGbRHt4RqUfk1Fpf/kHcL6Xx/+ktT7O/OdJoouAK4Hp5tf8TSkVPIX1QoShvQ3GxEBf1EgDTM9Jpa2791BvajF0lo1Ia63XAf1d9pwdyFiE/xxs62ZHdQu3nZtldSgcPz6NnLQEXtlSxWUn5lodjuXqW7tYvmYXp09J50yVYXU4wzIzN5VzpmXw8LrdXHtaHslBnviHGq31u+Yk8KG4FHhaa90F7FZKlQBzgQ/8FZ8Qka68vp2YKBtZqfE+2d/nKxw2B8XaAaHE8smGIrx9uMfsHz3ZuomGHjabjYtnZ7Nu1wEa2mSp6T+u3kl7dy//d9G0Y26fZIWlZ0+hqcPJY+/vsTqUSHKLUmqLUupRpdQo87EcYF+fbSrMx4QQflJe307uqASfrRRcOM5BbHQU26Rzx7BJIi38an1ZPXExUczKDUz/6MFcNCuLHpebN7ZWWx2Kpbbvb+ZfH+7l6pMnUpCRbHU4IzIzN5Wzphqj0q1d0tYwAO4DJgPHAfuBP1gajRARrLyhzScdOzzs0VFMzUqWzh0jIIm08CtP/+i4mOAomZyenUL+2KSI7t7hdrv55SvFpCTY+d45hVaHc0yWnl1IY7uMSgeC1rpGa92rtXYBD2GUbwBUAuP7bJprPiaE8AO32015vW96SPc1PTuVrZXNuN3SdXg4JJEWftPU7mR7dTPzJllf1uFhs9m4aHY263fXU9vcaXU4lli5rYYPyur5n3OnkJYYa3U4x2T2+DTOVOk8tLZMRqX9zNOW1PQlYKv58cvAlUqpOKXUJKAQ+DDQ8QkRKRrbnbR09vik9V1fM3JSaOpwUtnY4dP9hjtJpIXffLinAbfb2v7R3lw8Kwu3G17/bP/gG4eZrp5efvP6dqaMc/C1uROsDscnlp4zhcZ2J49/sMfqUMKGUupfGJMFlVKqQim1GLhLKfWZUmoLcCbwfQCt9TbgWaAYeANYorUOjnXlhQhDns4aviztAGNEGmCr9JMeFsu6dojwt76sntiYKGaPT7M6lMMUjktmamYyr2zZz7WnTbI6nIB6dN0e9ja088TiuT6bpGK148an8YUp6Tz0bhnXnJJHUpyc1o6V1voqLw8/MsD2dwJ3+i8iIYTH3gZPD2nfjkhPzUwmOsrGtqomzp+R6dN9h7PweCcVQWnD7npOmJBGvD046qP7unh2Np+UH6TiYLvVoQRMbUsnf31rF+dMy2BBYbrV4fjU0nMKOdju5In15VaHIoQQflVeb7xvjfdxaUe8PZrCDAdbpXPHsEgiLfyiqcNJcVVw1Uf3dfGsbABe2xI55R13r9R097r4yYVFVoficydMGMXpU9J58N0y2qRWWggRxsrr28lMiffLINX07FS2Vklpx3BIIi384uM9DbjccHJ+cCbSE8YkMjs3lVe2REb3jq2VTTz3SQXXnprHpLG+rasLFkvPLqShrZsnZVRaCBHGyuvbmODjsg6PGTkp1LV0Rexk/JGQRFr4xYbdDcRGR3H8hDSrQ+nXxbOz2VrZTFldq9Wh+JXb7eYXr2xjdGIst54d2u3uBnLixFEsKBzLi59WcrC9m7qWLlo7nVaHJYQQPlXe0O7z+miPGTmeFQ6lvGOoJJEWfrG+rJ7jgrQ+2uPCWUY3r1fDvLzj1S37+WjPQZadp0gJ86W0f7JoKr+8dAY/emELl9//Prc/v4XSula6nNJEQggR+tq7e6hr6fJ5xw6PaVkp2GzSuWM4JJEWPtfS6WRrZRMnTwqutndHykpNYG7eaF4N4/KOTmcvv12xg2lZKVwxZ/zgXxDi7DHRXP3IBlZuq6G8vp0VW6tZtHyt9EUVQoQFz0RDX/eQ9nDExTBpbJJMOBwGSaSFz32852BQ10f3dfHsLHbWtKKrW6wOxS8efLeMysYOfnZxEdFRNqvD8avWTid3r9R09bgOe7yrx8Xdq7SUeQghQp4nkc7z04g0wIzsVLbJhMMhk0Ra+Nz63fXYo20cP2GU1aEM6oKZWUTZCMslw6ubOrnvnVIumJEZEhc1x6rD6aJ4v/eTf3FVMx1S3iHEsLR2OmWuQZDZ22AsxuKvyYZgTDisbOzgYFu3344RTiSRFj63vqyB2blpJMQGb320x1hHHKcVjOWVLVW43W6rw/Gp372xg163mx8vmmZ1KAGRYI+iKCvF63NF2Skh8fsoRDDocvZSWtfK7c/LXINgU17fTlqindQE/813mWGucCij0kMjibTwqdauHqM+OoRGQC+alUV5fTufhVFN2Ma9B3nx00pumD/J5037g5Uj3s6y8xRxMYef1uJioli2UOGIC++JlkL4SkVjB4uWr2XF1mqZaxBkyuvbmejnc3pRtjEgIZ07hkYSaeFTH+9poNflZl5+cE807Ou86ZnYo21hU97hcrn55SvFpCfH8Z0zC6wOJ6By0xJYsXQBi2ZmkjcmkfOmZ/LsTaeQk5ZgdWhChASZaxDcyhva/NaxwyMtMZbcUQky4XCIJJEWPrVhdwMxUTZOnBj89dEeaYmxnF6Yzmtb9uNyhX55x0ubK9m0r5EfnKdwxMVYHU5AxdmjyU93cNdls3ju5lO4Yk4u33riY3aE6WRSIXxN5hoEr+4eF5UHO5jox/poD5lwOHSSSAufWl9Wz6zcVBJjQyuBu3h2NlVNnWzce9DqUI5Je3cPv1uhmZWbymUn5FodjmUc8XbSk+OZO2k0vS43d76+Pexq4IXwB5lrELwqGztwuf3X+q6vGTkp7D7QRovcgRiUJNLCZ9q6evisIrTqoz3OKRpHXExUyJd33P9OKdXNnfzs4iKiwrzd3VAkx9v53jlT+HB3A6uKa6wOR4igJ3MNgld5vdGxw9+lHQDTzRUOi2VUelCSSAuf+aT8ID0uN/NCMJF2xMVw9rQMXvtsPz29rsG/IAhVHGzngXfLuGR2NidODJ0adX+78qTxFGQ4+O2KHXT3hOZrK0Qg5aYl8J8lp3HedGOuwQUzMlmxdIHMNbDY3gZPD+nAlHYAbJVEelCSSAuf2bC7nugoG3NCqD66r4tnZXOgtZsNuxusDmVE/t+KHdhs8KMLplodSlCJiY7ix4umsvtAG//cUG51OEIEvTh7NGt3HaAgw8G3z5jMZSfmkp/uIM4uZR1WKq9vJ8EeTXpynN+PlZ4cx7iUOLbJhMNBSSItfGZ9WQMzc1JJCtEJbmdOzSApNjokyzs+3N3Aa1v2c9Ppk8mWUaOjnKkyOK1gDMvX7KKpQ2r+hBjMlopGXtlcxUNrd/PsR/usDkdglHZMGJ2IzRaYsr0Z2anSAm8IJJEWPtHe3cOWisaQrI/2iLdHc27ROFZsrQ6pEgCXy80vX91GVmo8N39hstXhBCWbzcaPF02jscPJvW+XWB2OEEGvtK6NyelJTE5PorSu1epwBGYP6QCUdXhMz0mlpLaVjm7p1DIQSxNppdSjSqlapdTWPo+NVkqtVkrtMv8PzTqBCLOxvBFnb2j1j/bm4tnZNHU4ea/kgNWhDNnzn1SwtbKZH10wVWbUD2B6ttHJ5B/v7WGfWWsohDiay+WmrK6VyekOCjIclNe34wzRuSPhwuVys7chsIn0jOwUXG7YXi110gOxekT6H8D5Rzz2I2CN1roQWGN+LoJcqNdHeywoTCclPiZkyjtaOp3ctVJzwoQ0LpmdbXU4QW/ZQkVUlLF8uhDCu8rGDrp6XEzOcDA53UGPy015vVx8WqmmpZOuHhcTAtCxw2OG2blD6qQHZmkirbV+FzhyZtelwGPmx48BXwxkTGJk1pfVMyM7heT40G6NFBsTxQUzslhVXENnCCw8cO/bpRxo7eJnF08PWN1cKMtMjedbC/J5dcv+kO8ZLoS/eEo5CsxEuu9jwhqeCxl/Lw/eV1ZqPKOTYmVhlkFYPSLtzTit9X7z42pgnJXBiMF1dPeyeV9o9o/25uLZ2bR29fCOrrU6lAGV17fx6LrdXHZCLrPHp1kdTsi46QuTSU+O487XZJEWIbwprTP6FU9OdzA5QxLpYLC33tP6LnAj0jabjenZKTLhcBDBmEgforV2A/JOF+Q+3XuQ7l5XyNdHe5ycP5qxjlhe2bx/8I0t9JvXtxMTbeMH5yurQwkpSXEx3HbuFD4pP8iKrdVWhyNE0Cmta2VUop3RSbE44mLITImnpFYSaSuVN7QRE2UjOy0+oMednp2Krm4JqQn4gRaMiXSNUioLwPw/uIcFBet3NxBlgzl54ZFIx0Qb5R1rdtTQ2tVjdThevV9ygJXbalhyZgHjUgJ7Yg0HX5kzHjUuWRZpEcKL0trWQyUdAJMzkg6NUgtr7KlvJ2dUAjHRgU3bZuSk4Ox1s7OmJaDHDSXBmEi/DFxjfnwN8JKFsYghWF9Wz/TsVFJCvD66r4tnZ9PpdLFme/AtK93T6+KXrxaTOyqBxfMnWR1OSIqOsvHjC6ext6Gdxz/YY3U4QgSV0rojEul0B2W1rVIKZaG99e1MCGB9tIdnhcNtUt7RL6vb3/0L+MD4UFUopRYDvwXOVUrtAs4xPxdBqtPZy6Z9jZwcJmUdHnMmjiIzJT4oyzue/mgfO6pb+PGiacTLSmMj9oUp6Zw+JZ2/vFVCY3u31eEIERQa27s50NrN5IzPa3ELMhy0dPVQ29JlYWSRrby+LaD10R4TRieSHBfD1kqZcNgfS5eg01pf1c9TZwc0EDFim/Y10t3jYt6k8Jho6BEVZeOiWVk89sEemtqdpCZaP9re2umkubOHxvZuzpueyQUzMq0OKeT9eNFUFi1fy1/eKuF/LyqyOhwhLNd3oqHHoc4dta1SSmaBxvZumjt7AtpD2iMqykaRTDgcUDCWdogQsr6sHpsNTpoUXiPSYJR3OHvdrCy2dkJal7OX0rpWbn9+C1c9tJ7PKpv4n3OnSG2vD0zNTOGKOeN5/IM97DkgNaBCeLpzeE2kpXOHJfaYHTusKO0Ao5/09v3N9MiiPF5ZOiItQt+GsgaKslJITbB+xNbXZuWmMmF0Iq9sruKKOeMti6OisYNFy9fSZSbO5fXtvKPrWLF0Afl93uzEyPzPuVN4eXMVv3tjB/d940SrwwkKSqlHgYuAWq31DPOx0cAzQB6wB7hCa31QKWUDlgOLgHbgWq31RiviFseutK6V2OgockclHHpsXEocjrgY6dxhkfJ64yI/b2zgSzvAmHDY6XRRdqCNKeOSLYkhmMmItBixrp5eNu49GDb9o49ks9m4eHYW75fWc6DVmtrA1k4nd6/Uh5Joj64eF3ev0rR2Oi2JK5xkpMRz0+mTWbG1mo/3HLk+VMT6B0NfdfYCoND89y3gvgDFKPygtLaNvLGJh3WHsNlsTE6Xzh1W2Wv1iLQ54XCrrHDolSTSYsQ272uiq8fFvDAs6/C4aFY2vS63Zf2GO5wuivd7n+RRXNVMRwisvhgKbjx9EuNS4vi1LNICDHvV2UuBx7XWbq31eiDN08JUhJ6yulYKMo6+0zU53SGlHRbZU9/OuJQ4yyaX56c7iLdHyYTDfkgiLUbMUx89N4wT6amZyRRkOHhlc5Ulx0+wRzEt0/uttKLsFBJipWuHLyTGxrBsoWLTvkZe2RJ8nVqCRH+rzuYA+/psV2E+JkJMd4+L8ob2w+qjPSZnONjf1Bm0vfXD2d6GNiaOtqasA4x2oUVZKdICrx+SSIsR27C7nqmZKaQlxlodit/YbDYunpXNR3saqG7qDPjxX/tsP9fPzycu5vA/1biYKJYtVDjiwq823SpfPiGXaVkp/G7FDjplpH9AsupseNrb0Eavy+09kTYfK5NR6YArr2+3pGNHXzNyUimuasblkj/7I0kiLUaku8fFJ+UHw65/tDcXzc7C7TaS2kB6cn05P3zhMz4ub+D1pQtYNDOTvDGJLJqZyYqlC8hJSxh8J2LIoqNs/PTCaVQ2dvDY+3usDicY9bfqbCXQdzZurvmYCDEltUe3vvMoMPtKS3lHYLV3G/27rU6kp2en0NLVw96GdkvjCEbStUOMyJaKRjqd4dc/2pvJ6Q6mZ6fwyuaqgK0k+OxH+/jpf7Zy1tQMbpifT2xMFHddNosOZy8J9mgcYbSKZDA5rWAsZ03N4K9vl/CVOeMZnRS+d1tGwLPq7G85fNXZl4FblFJPA/OApj4lICKEeJLk/PSjywgmjE4iOspGaa1MOAwkT+I6wYLFWPqanZvGkjMLaOvqobXTKe9BfciItBiR9WX1AGE90bCvi2dns2lfI/sCcDX+4qcV/PDfW1hQOJa/ff0EYs2yDke8nfTkeDmB+dkdF0ylvbuXe9bssjoUywxz1dnXgTKgBHgI+I4FIQsfKK1tJSs1nqS4o8fYYmOimDg6UVrgBVi52bFjokUdO8BYy8AeHUVJbQvf+edGbn9+C6V1rXRJCRwgI9JihDbsbmBqZjKjImTE7sKZWfx2xQ5e2VLFd84o8NtxXtlcxW3PbuaU/DE89M05sgS4BQrHJXPlSeN5cn053zxlYkT26h7OqrNmvfQS/0YkAqG0rtVrWYfH5Azp3BFontZ3ViwP7lHR2MGiew5fy+CtHbWyloFJRqTFsDl7XXy8J3z7R3szfnQix09I45XN/rtj/cbWar73zCbmTBzNw9dIEm2l7587hXh7NP9vxQ6rQxEiINxuN6V1bUz2UtbhMTndwZ76NlnhLoD21LeRmmAnNdGaO5GylsHgJJEWw7alookOZ2/ElHV4XDwrm+37m/1ya/PN4hpu/ddGZuem8uh1J5EYKzeLrDTWEce3z5jM6uKaQ2VMQoSz2pYuWrt6mOylh7TH5PQknL1u9h3sCGBkkW1vg7UdO2Qtg8FJIi2GzZNYhHP/aG8unJWFzQavbvFtT+l3dC3feWoj07JS+Mf1c3F4qU8Ugbd4/iSyU+O587Xt0vJJhL1Sc4BgoNIOz0ItUicdOOX17ZataAjGWgZFWSlen5O1DAySSIth27C7gSnjHIxxxFkdSkCNS4ln3qTRvLK5ymer371XcoCbnviEggwHT1w/jxSZSBg04u3R3H6+4rPKJl7aLN3cRHjz1D57W9XQw1MPK3XSgdHU0c0tZxbw5eOtW9/IEW9n2XlK1jIYgCTSYliM+uiGiGh7583Fs7MprWtj+/6WY97XhrJ6Fj/2EXljknjyhnmW1cCJ/l06O4eZOan8/g0ti7SIsFZa14YjLoaM5P4HSFIT7KQnxx0avRb+0eXspbSulR8+v4V73ynh2Y/3WdolIzctgRV91jI4b3omr8taBodIIi2GZWtlE+3dvRE10bCvC2ZkER1l45VjLO/4pLyB6/7xETlpCTx14zzpVxykoqJs/OTCaVQ1dfLIut1WhyOE3xgdO5Kw2WwDbjc5PYkSGZH2q4rGDhYtX8sb22oor2/njW01LFq+lspGa2rT4+zR5Kc7uOuyWfzla8dTkOGgy9lLnEyIBySRFsO0vqwBiLz6aI/RSbHMLxh7TOUdm/c1cu2jHzEuJZ5/3XgyYyOsRCbUnJw/hnOLxnHfO6UcaO2yOhwh/KK0duDWdx4FGQ5Ka1t9Vt4mDhfMXTIc8XYyUxK49+0S3tlZZ1kcwUYSaTEsG3bXU5DhIH2A23/h7qJZWVQc7GDTvsZhf+3WyiaufmQDaUl2/nnjPDJS4n0foPC5H10wlU5nL39+c6fVoQjhc21dPVQ1dQ7YscNjcrqD5s4eDrR2ByCyyBPsXTLSk+OYmpnMul0HLI0jmEgiLYasp9fFR7sbIq7t3ZEWTs8kNjpq2D2lt+9v5huPbCA53s4/bziZrFSpLwsVk9MdfH3eBP714T5Kao+9Pl6IYFJWZyz7PVAPaY/JMuHQr0KhS8aCwrF8vOcgHd0ybwQkkRbDsK2qmbYIro/2SE2w8wWVzmufVQ25Ldqumha+8fAG4mOi+eeN8xhvYTsjMTJLz5lCoj2a37wui7SI8OJJiodS2jFZWuD5VSh0yTitYCzdvS4+2tNgdShBQRJpMWSe/tHz8iN7RBqM7h01zV1DOpGU1bXytYc3EBVl46kb5zHRwqVexciNToplyVkFvLWjlvdK5LamCB+lda1ER9mYMISFP7JS4kmMjZYRaT/KTUvgmZtO5rzpRpeMRTMzWRFEXTLmThpNbHSUnAdNkkiLIduwu4H89CQykqWu95xpGSTYowft3lFe38bXHtqAy+XmnzfMG9KIjwhe156aR05aAne+tp1eWaRFhInSulYmjE4kLmbwsoGoKBv56UmUmuUgwvfauntZ8tRGLj8hh+duPoW7LptFfrojaLpkJMbGcMLENNZJIg1IIi2GqNflNuujI7uswyMxNoazp2Xw+mfV9PS6vG5TcbCdrz20gc6eXp68YR6F45IDHKXwtXh7ND+8YCr1bV18uvcgdS1dls6iF8IXSmvbhlQf7TE53SG9pP3o9c/2U9nYSfaoBNKT43EE4UJd8wvGsq2qmXrpZBS8ibRS6nyllFZKlSilfmR1PJGuuKqZlq4eTpayjkMunp1NQ1s375fWH/Xc/qYOrnpoPS2dTp5cPI9p/UweEaFnYVEG933jRB5aW8bl97/P7c9vsXSxBCGORa/Lze4DbUPq2OFRkO6gsrGD9u4eP0YWuV7eXMXk9KR+Jx0Gg/mF6QBe3/8iTVAm0kqpaOBe4AKgCLhKKVVkbVSRbcNu448l0ica9vWFKekkx8XwyubDyztqmzv52kMbONjm5PHF85iRk2pRhMIfKhs7uerB9aw0F0tYsbXa0sUShDgWFQfb6e51DavszJN0l0l5h89VNXbw0Z4GLj0uZ9DFcaw0MyeV5PgYaYNHkCbSwFygRGtdprXuBp4GLrU4poi2vqyeSWOTGCd9jw+Jt0dz+ZxcckcnUNPcSWunk/rWLq56aD01zZ08dv1JHDc+zeowhQ8F82IJQozEcDp2eEgLPP95dUsVbjdcMjvb6lAGFB1l49TJY1hXciDiF+cJ1kQ6B9jX5/MK8zFhgV6Xmw+lf/RRupy9fHXOeIqrmrnigQ+4/fkt7KlvZ3p2Cn+/9iROnCg/r3AT7IslCDFcpbVD7yHtkTc2kSgbUiftBy9vrmJ2bip5Y4O/u9P8wnQqGzsor2+3OhRLxVgdgAh+2/c309zZI2UdR6ho7ODSe987NDpZXt/OWztqeemW05iaGby1bWLkPIsleHvjCJbFEoQYjpLaVsY6YklLjB3y18TFRDNhdKJ07vCx0rpWtlY289MLp1kdypDMLxgLwNqSAyGR+PtLsI5IVwLj+3yeaz4mLLBht9ErWfpHf26gW/z3rNklt/jDVCgsliDEcJTWtZI/grack9MdUtrhYy9vqsJmMyayh4K8MYnkpCXwXoTXSQdrIv0RUKiUmqSUigWuBF62OKaItb6snoljEmVJ6z7kFn/kyk1LYMXSBSyaGZyLJQgxHKV1rSPqbz85w0HZgTbpp+4jbreblzdXcfKkMSEzF8lmszG/YCzvlx6I6N+DoEyktdY9wC3ASmA78KzWepu1UUUml9RHe+W5xe+N3OIPb3H2aPLTHdx12aygXCxBiKFqaOvmYLtzWPXRHgXpDrp7XFQcjOz6WF/ZWtnM7gNtXHJcaIxGe5xWOJbmzh4+q2yyOhTLBG2NtNb6deB1q+OIdDuqW2jqcEp99BE8t/jf2lF7WHmH3OKPHI54e1AulCDEUB3q2DGMHtIekzOSDu1j4pjIrY/1lZc3V2KPtnHBjEyrQxmW0yYbucG6XXUR26UqKEekRfDw9I+eJ4n0UeQWvxAilHm6bhSMoLQjf6zZAq9WJhweK5fLzSub9/OFKenDmvQZDMY44ijKSono5cKDdkRaBIf1ZfWMH50gyaEXfW/xdzh7SbBHywilECJklNa1EhcTNaLz+6ikWMYkxVIiLfCO2Yd7Gqhu7uSORVOtDmVEFhSO5e/v7aG9u4fE2MhLK2VEWvTr8/poGY0eiCPeTnpyvCTRQoiQUlrXRn66g6ioka2gNzlDOnf4wkubqkiwR3Nu0TirQxmR0wrG0t3r4kOzw1ekkURa9GtnbQsH26U+WgghwpHRsWPk9c3SAu/Ydfe4WLF1P+cWjQvZ0dyT8kYTGx3FexFa3iGJtOjXhjKzf7R07BBCiLDS6exlX0P7iFrfeUxOT+Jgu5P61i4fRhZZ1pXU0dju5NIQ69bRV0JsNHPyRrE2QvtJSyIt+rW+rJ6ctATGj060OhQhhBA+tKe+DZd7ZB07PDxfKyscjtxLm6pITbCzoDDd6lCOyWkFY9lR3UJdS+RdVIXmfQThd62dTs4tGsf5IdaKRwjhX0qpPUAL0Av0aK3nKKVGA88AecAe4Aqt9UGrYhSD83TbOJbSDk+3j9K6VubKnctha+/uYXVxDZcel01sTGiPa84vGMvvV2reLz3ApcflWB1OQIX2Kyd8rsvZS2ldK8ue28zyNbtY8dl+Suta6ZKV+oQQnztTa32c1nqO+fmPgDVa60Jgjfm5CGKe2mZPG7uRyElLIC4m6lAbPTE8b26vpb27l0tmh37iOSMnldQEO+sisLxDRqTFYSoaO1i0fO2hRUbK69t5W9exYukC8o+hlk4IEdYuBc4wP34MeAf4oVXBiMGV1rWSk5ZwTKuwRkXZyE93UCITDkfk5U1VjEuJC4vR/OgoG6dOHsN7JQdwu93YbCPrBBOKZERaHNLa6eTulfqwlfoAunpc3L1K09rptCgyIUQQcQOrlFKfKKW+ZT42Tmu93/y4GgjNPl4RpLSu9Zjqoz0KpAXeiDS2d/PfnbVcPCub6BG2Hww28wvHUtXUSdmByKqZl0RaHNLhdFG8v9nrc8VVzXRIeYcQAuZrrU8ALgCWKKVO7/uk1tqNkWyLIOVyuSmtbTum+miPyelJVBzsoFPeH4blja3VOHvdXBLC3TqONL9gLEDEtcGTRFockmCPoigrxetzRdkpx3QLUAgRHrTWleb/tcCLwFygRimVBWD+X2tdhGIw1c2ddDh7KfDBiPTkdAduN5RJ545heXlzFXljEpmZk2p1KD4zYXQiuaMSIq4NniTS4hBHvJ1l5ynijpg9HBcTxbKFCkecrNwnRCRTSiUppZI9HwMLga3Ay8A15mbXAC9ZE6EYCk8pxrH0kPaY3KdzR7Bp7XRS19IVdGWJNc2dfFBWzyXH5YRVLbHNZmNB4VjWl9bT0+sa/AvCxICJtFLqK+b/kwITjrBaTlo8T90wj/OnZ5I3JpFFMzNZsXQBOWkJVocmhDBZeG4eB6xTSm0GPgRe01q/AfwWOFcptQs4x/xcBClPlw1fJNL56UnYbMGVSHu6T93+/BYuv/99bn9+y5C6TwUq8X51y37cbrhkdviUdXicVjCWlq4etlQ2WR1KwAzWteMO4DngBeAE/4cjrLarpo0l/9zIvV87gYljEkmwR+OIl5FoIYKMJedmrXUZMNvL4/XA2YGKQxybkrpWUuJjGOuIPeZ9xdujyR2VEFSLsnjrPvXWjtp+u091OXupaOzg7pWa4v3NFGWlsOw8RW5aAnF235c0vrypkunZKT4prQk2p04ei80G63Yd4IQJo6wOJyAGS6TrlVKrgElKqZePfFJrfYl/whJWWV1cTV1LF/npDkYnHftJVgjhF3JuFiNWWtvG5AyHz8oKJqc7KAmSXtIDdZ+66w3Nwunj+HRvI6OSYhmVaCc7LZ6JY5K49K/vDTnxPhZ7DrSxuaKJOy6Y6tP9BovRSbFMz05hXckBvnt2odXhBMRgifSFGKMdTwB/8H84wmqrimuYkzdakmghgpucm8WIlda1cvoU3y1JPTndwQel9bhcbqIsbuU2UPepHdXNLJqZyStbqmjqcOJ2w5IzC/j3xsp+277eddksn92V9ZSOLDmzIKy6dRzptIKxPLpuN21dPSTFhf9yJQN+h1rrbmC9UupUrXWdUipRa90eoNhEgO1raGdHdQs/vXCa1aEIIQYg52YxUs2dTmpbunxSH+1RkOGgq8dFZWMH40cn+my/I+HpPlVef/SfQ1F2CmdNy+CS43Lodblp6nDS3Onkmkc/9LovT9vXY02kjywdmZqZTHt3L13OXr+UjlhtQUE6D/y3jA93N3Dm1Ayrw/G7oXbtKFBKFQM7AJRSs5VSf/NfWMIKq4prADi3SNZSECJEyLlZDIunTZ0vekh7eJLyYFjh0BFv53/OnTJo96noKBujk2IZmxTbb9tXlZnC2l117Gs4tmtUT832iq3VlNe3s3JbDYuWr6WyseOY9hus5uSNIjYminUR0k96qIn0n4HzgHoArfVm4PSBvkCEnlXbqlHjkpk4xncnWCGEX/0ZOTeLYTjUscOHE908SXlpkNRJv1dygCcXz+OCmYN3nxqo7eutZxXw5zd3cc4f/8sfV2nau3uGHUtzRze/f2NHRK0YHG+PZm7eaNZFSD/pIRevaK33KaX6PiTLGIWRg23dfLSngSVnFlgdihBiGOTcLIajtK6VmCgbE3xYgjHGEceoRHtQdO7Yc6CNX722nVvOLOD3l82iw9k7aPep3LQEVixdwN2rNMVVzRRlp7BsoSInLYGnv3UKv3tjB/e8VcKzH1dwx6KpXDI7G5vNRmunkw6niwR71GH773W52bC7nle37GfOxFFsr27xelxflY4Eo4VF46hp6aLiYDtpCfaw/B49hppI71NKnQq4lVJ2YCmw3X9hiUBbs6MWl1vKOoQIMXJuFsNSWtdK3tgk7NG+XY9tcrojKHpJ37NmF/ZoG18/eQKO+KElcHH2aPLTHdzlJfHOTktg+ZXHc/XJE/n5K9tY+vQmdlS38MXjcvjzmzsPa5fX2d3L0x/tY8XW/Rxo7SYxNpqT8kYzLTO535rtcFwxuMvZy7z8MfxxtebrD2/weztBqw01kb4ZWA7kAFXASmCJv4ISgbe6uJrMlPiwWq5UiAgg52YxLKV1bT6tj/aYnO7gze01Pt/vcJTUtvKfTZXcsCCfjOT4YX/9QIn3nLzRvLxkPq9t2U9WWjyX/HXdUe3ynlg8j3d31jEvfwwXzcziDJVBQmw0s3JTeVvXHVbeEc4rBlc0dnj9+fijnWAwGFIirbU+AHzdz7EIi3Q6e3l35wEuPzE3rJYrFSLcyblZDIez10V5fRsL/XDncXJGEs983M3Btm5GWdQ+dfmaXcTbo7np9Hy/7D8qysaZU9O5/bktXmue//7ebv5zy2mMSjz8+x+odCTcDNTH29ftBIPFkBJppVQu8BfgNPOhtcBSrXXFSA5qLm/7c2AaMFdr/XGf5+4AFmPU+X1Xa71yJMcQQ7du1wE6nL0snC5lHUKEEl+fm0V429vQjrPX7dPWdx5F2SksObOA+rYu7NG2gCdLurqFV7dU8e0vTGaMI85vx+lwuiiu9t6nevv+Znp6XUc9PlDpSLgZqI93uNaED7VI6u/Ay0C2+e8V87GR2gp8GXi374NKqSLgSmA6cD7wN6VU+BXUBJlVxdUkx8Uwb9IYq0MRQgyPr8/NIoy1d/Xwu8tmcdyENJ/ut8vZy7jkeEpqW1j82Mfc/vwWSuta6XIGbt7r8jU7SYqN4cYF/hmN9vD0qfZmsJpnR7yd9OT4sEsk+zqWn0+oGmqNdLrWuu/J+R9Kqe+N9KBa6+0AR8w0B7gUeFpr3QXsVkqVAHOBD0Z6LDGwXpebNdtrOXNqBrExvp18IoTwO5+em0V48iwI8te3S9hR3eLzyV8VjR1c9BframK3VTXx+mfVfPfsQr+XlXja5b21ozZiap6HIxJ/PkNNpOuVUt8A/mV+fhVm31IfywHW9/m8wnxM+MnGvQepb+uWbh1ChKZAnZtFCPMsCOKPRDcYamL//OYukuNjWDx/kl+P4xFJNc8jceTPR2WmcOtZBWH78xlqIn09Rh3enwA38D5w7UBfoJR6E8j08tRPtNYvDSNG4Ueri2uwR9s4Q6VbHYoQYviGfW4WkcXfia7VNbGfVTSxuriG/zl3CqkJgRntjKSa55E48uezZnstP3phCy8uOW3wLw5BQ02kfwlco7U+CKCUGg3cjXES90prfc4I4qkExvf5PNd8TPiB2+1m1bZqTpk8lmQ5CQgRioZ9bhaRxd+Jrqcm1qo+yX9crUlLtHPdaXl+PY43Q+1THak8P5/05Di2VjXzxtZqLp6dbXVYPjfUothZnhM1gNa6ATjeD/G8DFyplIpTSk0CCoEP/XAcgdFzc099u5R1CBG6AnVuFiHK35O/Blpi2981sRv3HuRtXce3Ts+XwaAgdqbKYOKYRB57f4/VofjFUBPpKKXUKM8n5qjHkJcXP5JS6ktKqQrgFOA1pdRKAK31NuBZoBh4A1iitZblbv1kVbHRPP/caZJICxGifHpuFuEnEImupyZ20cxM8sYkct70TP6z5DS/18T+afVOxiTFcs0peX49jjg2UVE2rj55Ih+XH2RrZZPV4fjcUE+4fwA+UEo9Z37+FeDOkR5Ua/0i8GI/z915LPsWQ7equIbZualkpg5/BSghRFDw6blZhKfctAT+/Z1TuWdNCbra95Pj+tbEtjt7+c+nlfx+pebRa0/yyf69+WhPA2t3HeAni6aRFCfXjsHuK3PG84dVO/nH+3u4+yuzrQ7Hp4Y0Iq21fhyj73ON+e/LWusn/BmY8K+a5k4272tk4XRv80GFEKFAzs1iKOLs0byyuYoZOSk8d/Mp3HXZLPLTHT5pfdeXI95ORnI8cTHRvLWjlk/KDw7+RSP0x1U7SU+O4xsnT/TbMYTvpCbYuezEHF7eXEV9a5fV4fjUkC/jtNbFGCUXIgys9pR1SH20ECFNzs1iKDaWN+Jyu7n1rEK/H+vyE3P5wyrNo+t2c+LEUYN/wTC9X3qAD8rq+dnFRWG5wEe4uuaUPJ5cv5enP9rHkjMLrA7HZ2QFjgi1uriGvDGJFGb4v1m+EEIIa5XUtVI4LjDn+6S4GK6aO4EVW/dTcfDobh4j1drppK6lk7LaVmZkp3DV3Ak+27fwv8JxyZxWMIYn15d7XUo9VEkiHYFaOp28X3qAc4vGYbPZrA5HCCGEH9W3dtHQ1k1BRnLAjnnNqXnYbDafdGrocvZSWtfK7c9v4fL7P2BtyQF+d/ks5N0r9Fx76iT2N3UeanYQDiSRjkD/3VmHs9ct9dFCCBEBdtW2AgT0DmR2WgIXzMjk6Q/30drVc0z78qzMuGJrNeX17azcVsOX//Y+lY0dPopWBMpZUzPIHZXAP8KoFZ4k0hFodXENY5JiOWGC72vXhBBCBBdPIl0Q4FK+xfMn0dLVw3Mf7xvxPgZbmbG103msYYoAio6y8c1TJvLh7gaKq7wvFBRqJJGOMM5eF2/tqOWsqRlER8mNMSGECHelta0kxUaTFeBWp8dPGMUJE9L4+3t76HW5R7SPoazMKELLFXPGE2+PCpsFWiSRjjAbyhpo6eyRsg4hhIgQu2pbKBiXbMmcmMXz89nb0M6b20dWE+vvlRlF4KUlxvKl43P5z6ZKDrZ1Wx3OMZNEOsKsKq4m3h7F/IKxVocihBAiAHbVtFrWoem86ePISUvgkXW7R/T1jng7t5xVYMkS5MJ/rjl1Il09Lp7+aORlP8FCEukI4na7WV1cw+mF6XIVL4QQEaCpw0ltS1fA66M9YqKjuPbUPD7c3TCi5aE/q2ji/ndKeeamkw8tQb5oZiYrli7w+xLkwn+mZqZwcv7osGiFJ4l0BNla2cz+pk5ZhEUI4XNKqfOVUlopVaKU+pHV8QhDiQUdO450xUnjSYyN5tFhjko3dzpZ8s+NfFJ+kLwxSdx12Sy/rswoAuvaUydR2djBm9trrQ7lmEgiHUFWF1cTZYOzp0kiLYTwHaVUNHAvcAFQBFyllCqyNioBUFLbAkBhAHtIHyk1wc4Vc8bzypYqaps7h/Q1brebHz6/harGDv7ytRNIS4zFEW8nPTkeR7yUc4SDc6ZlkJOWEPKTDiWRjiCrimuYkzea0UmxVocihAgvc4ESrXWZ1robeBq41OKYBEZ9dLw9ipxR1pZBXHdaHj0uN49/UD6k7R//oJwVW6v5wfnKL8uMC+vFREfxjZMn8kFZPTuqQ7cVniTSEWJvfTs7qltYKGUdQgjfywH6zhqqMB8TFttV20r+WIfl7U4njkninGnjeGpDOZ2DtKzbUtHIna9t5+ypGdwwPz9AEQorXHnSeOJionjs/aFdYAUjSaQjxKriagAWFknbOyGEiBQlta0UjrOuPrqvxfMncbDdyb83Vva7TVOHURc91hHL3V+ZTZSsdxDWRiXF8sXjcnjx0wqa2kNzcR1JpCPE6uIapmYmM2FMotWhCCHCTyUwvs/nueZjwkJtXT1UNnZYOtGwr3mTRjM9O4VH39uN2330Ai1ut5sfvbCF/Y2d/OVrJzBKyhAjwjWn5tHpdPHMx3utDmVEJJGOAAfbuvloT4N06xBC+MtHQKFSapJSKha4EnjZ4pgiXmmdZ2lw6yYa9mWz2Vg8fxIlta38d2fdUc9LXXRkKspO4bzpmbjcUNvcGXLLvksiHQHW7KjF5UYSaSGEX2ite4BbgJXAduBZrfU2a6MSu2o8iXRwjEgDXDQrm4zkuKMWaJG66MjV5ezle+cU8uneg3zlgQ+4/fktlNa10hUiy7/HWB2A8L/VxdVkpsQzMyfV6lCEEGFKa/068LrVcYjPldS1Yo+2MTGISvpiY6L45ikTeWJ9OXvr20iIjSHKBj97eavURUeoisYOvnjve3T1GAuzlNe389aOWlYsXUB+evBcBPZHEukw1+ns5d2dB7j8xFxsNjk5CSFEpNhV08qksUnYo4Pr5vNVcycwb9IY7nx9OzuqW5iamcyPLygiOT5G6qIjTGunk7tX6kNJtEdXj4u7V2nuumxW0PcNl0Q6zK3bdYAOZy8Lp0tZhxBCRJKS2hamZwffncjGDiffeGTDYSOQ7+g6VixdYHFkItA6nC6K93vvIV1c1UyHszfoE+ngukwVPrequJrkuBjmTRpjdShCCCECpNPZy96GdiYHUX00DD4CGWoTzcSxSbBHUZSV4vW5ouwUEmKDfxl4SaTDWK/LzZrttZw5NYPYGHmphRAiUuw+0IbLTdC0vvMYygikiByOeDvLzlPEHZGjxMVEcdu5CkdccI9GgyTSYW3j3oPUt3VLtw4hhIgwu2qNjh3BshiLRziMQArfyk1LYMXSBSyamUnemEQumJHJE4vnsT1Elg23pEZaKfV74GKgGygFrtNaN5rP3QEsBnqB72qtV1oRYzhYXVyDPdrGGSrd6lCEEEIEUElNC1E2mDQ2yepQDuMZgXxrR+1h5R1xMVEsWxgaI5DCt+Ls0eSnO7jrsll0OHtJsEfzi1eKef2z/cydNJqM5HirQxyQVSPSq4EZWutZwE7gDgClVBFGI//pwPnA35RScnk6Am63m1Xbqjll8liSg7xQXwghhG+V1LUycUwScTHB9xZ65AjkopmZrFi6gJy0BKtDExZyxNtJT47HEW/nO2cW0N3r4g8rd1od1qAsGZHWWq/q8+l64HLz40uBp7XWXcBupVQJMBf4IMAhhryS2lb21LdzwwJpbC+EEJFmV01rUC3E0pe3Echg78wgAmvS2CSuPTWPh9ft5upTJjIjiNfBCIYa6euBFebHOcC+Ps9VmI+JYVpVXAPIaoZCCBFpnL0udh9oC7qJhkfqOwIpxJFuOauQUYmx/OrVYtxut9Xh9MtvI9JKqTeBTC9P/URr/ZK5zU+AHuApf8URqVYV1zA7N5VxKcFdWySEEMK3yuvb6HG5g3ZEWoihSE2w8z/nTuGn/9nKym3VnD8jy+qQvPJbIq21Pmeg55VS1wIXAWdrrT2XGpXA+D6b5ZqPiWGoae5k875Gbj9PWR2KEEKIACvxdOzISLY4EiGOzZUnjeeJD8q58/XtnDk1Iyhr/i0p7VBKnQ/8ALhEa93e56mXgSuVUnFKqUlAIfChFTGGstVS1iGEEBFrV42RSE/OCK6OHUIMV0x0FD+9aBr7Gjr4+3t7rA7HK6tqpP8KJAOrlVKblFL3A2ittwHPAsXAG8ASrbV0Zx+m1cU15I1JDPr6OCGEEL63q7aV3FEJJMZa0k9ACJ9aUJjOOdMy+OtbJdS1dFkdzlGs6tpRMMBzdwJ3BjCcsNLS6eT90gNce2oeNpvN6nCEEEIE2K7a4O3YIcRI/HjRNBb+6V3+sErz28tmWR3OYYKha4fwof/urMPZ62bhdG/zPIUQQoSzXpebsrpWuSMpwkp+uoNrTs3jmY/3sa2qyepwDiOJdJhZta2GMUmxnDBhlNWhCCGECLCKg+109bhkoqEIO989q5C0BDu/fCW42uFJIh1GuntcvK1rOXtaBtFRUtYhhBCRxjPRsGCcjEiL8JKaaLTD27C7gZXbaqwO5xBJpMPIht31tHT2cG6RlHUIIUQk2mW2vpMaaRGOrpo7gcIMB795fTtdPcHRi0IS6TCyuriGBHs0CwrHWh2KEEIIC5TUtjIuJY4UWS1QhKGY6Cj+96Iiunp6+Wh3A3UtXbR2Oq2NydKjC59xu92sLq5hQeFY4u3B17BcCCGE/5XUtkh9tAhr8yaN5oGrT+S+d0rZUd1CUVYKy85T5KYlEGdB/iMj0mFia2Uz+5s6ZREWIYSIUG63W1rfibBX0djBVx9Yz8ptNZTXt7NiazWLlq+lsrHDkngkkQ4Tq4uribLB2dMkkRZCiEhU1dRJe3evJNIibLV2Orl7paarx3XY4109Lu5epS0p85BEOkysKq5hTt5oRifFWh2KEEIIC5SYEw2lh7QIVx1OF8X7m70+V1zVTIcz8BMQJZEOA3vr29lR3cJCKesQQoiItaumBYDCcVIjLcJTgj2KoqwUr88VZaeQECs10mIEVhVXA7BQ2t4JIUTEKqltZUxSrNyZFGHLEW9n2XmKuJjD09e4mCiWLVQ44gLfrUa6doSB1cU1TM1MZsKYRKtDEUIIYZFdta1MlrIOEeZy0xJYsXQBd6/SFFc1My0rhetOm4RVy9BJIh3iGtq6+WhPA0vOLLA6FCGEEBZxu92U1LZy0awsq0MRwq/i7NHkpzu467JZdDh7sdlsfPX+Dygcl8z9V58Y8HiktCPEvbWjFpdbyjqEECKS1bV20dThlImGImI44u2kJ8cz1hHHhbOyeGNbNcVV3ici+pMk0iFu1bZqslLjmZHjvfheCCF8QSn1c6VUpVJqk/lvUZ/n7lBKlSiltFLqPCvjjFQlNWbHDploKCLQ4vn5JMfFsHzNzoAfW0o7Qlins5e1uw5w+Ym52GxWVQcJISLIn7TWd/d9QClVBFwJTAeygTeVUlO01oHvQxXBdpmt76SHtIhEqYl2rps/iXvW7GJbVRPTs1MDdmwZkQ5h63YdoMPZy8Lp0vZOCGGZS4GntdZdWuvdQAkw1+KYIk5JbSvJ8TFkJMdZHYoQllg8fxLJ8TEsf3NXQI8riXQIW1VcTXJcDPMmjbE6FCFEZLhFKbVFKfWoUmqU+VgOsK/PNhXmYyKAdtW2UJjhkLuTImKlJthZPH8Sq4pr2FrZFLDjSmlHiOp1uVmzvZYzp2YQGyPXQ0KIY6eUehPwNnP5J8B9wK8At/n/H4DrAxedGEhJbStnTc2wOgwhLHXdaZN4ZN1ulq/ZxUPfnBOQY0oiHaI27j1IfVs358pqhkIIH9FanzOU7ZRSDwGvmp9WAuP7PJ1rPiYC5GBbNwdauynMkImGIrKlJti5YX4+f3pzJ1srm5iR4/9aaRnKDFGri2uwR9s4Q6VbHYoQIgIopfo2KP4SsNX8+GXgSqVUnFJqElAIfBjo+CJZSZ050XCcTDQU4rr5eaTEx/DnNwPTwUMS6RDU2ulkRnYKv/riDJLjA78cphAiIt2llPpMKbUFOBP4PoDWehvwLFAMvAEskY4dgbXL0/pOOnYIQUq8nRsW5PPm9lo+q/B/rbSUdoSQLmcvFY0d/P6NHWyvbmFaZjIn5Y0mNy2BOHu01eEJIcKY1vrqAZ67E7gzgOGIPnbVtpBgjyY7NcHqUIQICtedlscj63bz5zd38si1J/n1WJYk0kqpX2G0THIBtcC1WusqpZQNWA4sAtrNxzdaEWMwqmjsYNHytXT1uAAor2/nbV3HiqULyE+XkQghhIhEJbWtFGQ4iIqSjh1CACTH27lxwSTuXrWTLRWNzMpN89uxrCrt+L3WepbW+jiMCSv/Zz5+AUZ9XSHwLYxZ4gKjnOPulfpQEu3R1ePi7lWa1k6nRZEJIYSwUkltq5R1CHGEa07NIy3Rzp/93FfakkRaa913MfQkjHZKYIxSP661dmut1wNpR0xwiVgdThfF+72vIV9c1UyHU0oShRAi0rR0Otnf1CkTDYU4gjEqnc9bO2rZtK/Rb8exbLKhUupOpdQ+4Ot8PiItjf37kWCPoigzxetzRdkpJMRKjbQQQkSaEs/S4FLeJ8RRPKPSy/3YwcNvNdIDNfbXWr+ktf4J8BOl1B3ALcDP/BVLOKhr7eb6BZN4S9ceVt4RFxPFsoUKR5x07xBCiEjjSaQLx0kPaSGO5IiL4cYF+fx+pebTvQc5fsKowb9omPyWSA+1sT/wFPA6RiItjf29aOl0csNjH3HChFG8eut8/vTmToqrminKTmHZQkVOmszUFkKISFRS20psTBTjR8n7gBDeXHNqHi9tqkTXtJA7KpEEexQOH7YOtqprR6HW2lP9fSmww/z4ZeAWpdTTwDygSWu934oYg4XL5ea2Zzezp76dX31xBoXjkrnrsll0OHtJsEf79JdBCCFEaNlV20r+2CRiomVZCCG8sUfZ+OMVx/GXt3Zx3zulFGWlsOw85bPWwVb1kf6tUkphtL8rB242H38do/VdCUb7u+usCS94/O2dElYV1/C/FxVx6uSxADji7ZJACyGEYFdtC7P92NpLiFBX0djBZfe9f1jr4Ld21PqsdbAlibTW+rJ+HncDSwIcTtB6W9fyh9U7ufS4bK4/Lc/qcIQQQgSRju5eKg52cPkJ4wffWIgINFjr4Lsum3XMA5OysmGQ2nOgjaX/+pSpmSn89suzsNmk0b4QQojPVTd38tsvz2Jqpkw0FMKbobQOPtZEWoqqglBbVw83PfEJUVE2Hrz6RGltJ4QQ4pAuZy+lda38bsV2/vZOCff/t5TSula6ZD0BIQ6TYI+iKMu/rYMlkQ4ybrebH7ywhV21LfzlquMZPzrR6pCEEEIEkYrGDhYtX8sb22oor29nxdZqFi1fS2Vjh9WhCRFUHPF2lp2niIs5PN31ZetgSaSDzIPvlvHalv384PypLChMtzocIYQQQWSwms/WTqdFkQkRnHLTElixdAGLZmaSNyaRRTMzWbF0gc9aB0uNdBBZu6uO372xgwtnZnHT6flWhyOEECLIBKLmU4hwEmePJj/d4bfWwTIiHST2NbRz678+pSDDwV2Xy+RCIYQQRwtEzacQ4cgRbyc9Od7nF5qSSAeBju5ebnriE3pdbh68eg5JcXKjQAghxNECUfMphBg6ydgs5na7uePfW9he3cwj18whb2yS1SEJIYQIYmMdsTy5eB6PvLebHfubKcpOYdlC5bOaTyHE0EkibbG/v7eH/2yq4rZzp3DW1HFWhyOEECLIrdpWw92rNE/dcDKpCTE+r/kUQgydJNIW+qC0njtf3865ReNYcmaB1eEIIYQIAS9+Wkm8PZrJ6Ukyn0YIi0mNtEWqGju45Z8bmTgmkT9eMZuoKDkZCiGEGNj+pg4+KKvni8flSBItRBCQRNoCnc5ebn7yE7p6XDx49RyS5ZacEEKIIXhpUxVuN3zp+ByrQxFCIKUdAed2u/nf/2xlS0UTD1x9IgUZDqtDEkIIEQLcbjcvbqzkhAlpMjFdiCAhI9IB9uSGvTz3SQXfPauA86ZnWh2OEEKIEFG8vxld08KXTsi1OhQhhEkS6QD6eE8Dv3h5G2eqdL53zhSrwxFCCBFCXtxYiT3axkUzs6wORQhhkkQ6QGqaO/n2UxvJHZXAn688XiYXCiGEGLKeXhcvba7iDJXBqKRYq8MRQpikRjoAunp6+faTn9DW1cOTi+eRmiCTC4UQYjCtnU46nC4S7FER3yf5/dJ66lq6+LJMMhQiqEgiHQC/eKWYjXsbufdrJ6Ayk60ORwghglqXs5eKxg7uXqkp3t9MUVYKy85T5KYlEGePtjo8S7z4aSUp8TGcNS3D6lCEEH1IIu1nT3+4l39u2MvNX5jMhbOkrk0IIQZT0djBouVr6epxAVBe385bO2pZsXQB+emR1+morauHN7ZW88Xjc4iLicwLCSGClSTSfvTp3oP830vbWFA4ltvPU1aHI4QQA1JKfQX4OTANmKu1/rjPc3cAi4Fe4Lta65Xm4+cDy4Fo4GGt9W+PJYbWTid3r9SHkmiPrh4Xd6/S3HXZrIgr81i5rZoOZ6/0jhYiCMlkQz+pa+ni209uJCMljnuuPJ5omVwohAh+W4EvA+/2fVApVQRcCUwHzgf+ppSKVkpFA/cCFwBFwFXmtiPW4XRRvL/Z63PFVc10OHuPZfch6cVPK8kdlcCciaOsDkUIcQRJpH2stdNJbXMnK7dWExtj44GrT5QZ1kKIkKC13q611l6euhR4WmvdpbXeDZQAc81/JVrrMq11N/C0ue2IJdijKMpK8frctOwUEmIjq7ShprmT90oO8KXjc6TbkxBBSBJpH+ly9lJa18rtz2/hKw98wNqSOu6/eg4FEVjPJ4QIOznAvj6fV5iP9ff4iDni7Sw7TxEXc/jbU1xMFNefNomyurZj2X3IeXlTFS5ZElyIoCU10j7ibXLMO7ouYifHCCGCk1LqTcDbsqo/0Vq/FOh4vMlNS2DF0gXcvUpTXNVMUXYK3z9nCo9/sIfnPqngr1edwDlF46wOMyD+/Wkls8enyfuIEEHK0kRaKXUbcDeQrrU+oJSyYUxaWQS0A9dqrTdaGeNQyOQYIUSo0FqfM4IvqwTG9/k813yMAR4fsTh7NPnpDu66bBYdzl4S7NE44u0sPWcKWyqa+NYTH/ObL83kyrkTjvVQQW1HdTPb9zfz84uPqexcCOFHlpV2KKXGAwuBvX0evgAoNP99C7jPgtCGTSbHCCHC3MvAlUqpOKXUJIxz9IfAR0ChUmqSUioWY0Liy746qCPeTnpy/KGBiLGOOP5548ksKEznR//+jHvW7MLtdvvqcEHnxY2VxETZuHh2ttWhCCH6YWWN9J+AHwB9z4KXAo9rrd1a6/VAmlIqqJsvu1xuNu09yNR+FlopisDJMUKI0KSU+pJSqgI4BXhNKbUSQGu9DXgWKAbeAJZorXu11j3ALcBKYDvwrLmt3yTFxfDwNXP48gk5/HH1Tn76n630uoy3kdZOJ3UtXbR2Ov0ZQkD0utz8Z1MlX5iSzhhHnNXhCCH6YUlph1LqUqBSa71ZqcP6K/c3cWV/AMMbsq6eXm5/bgsbdtfz0Dfn8I6uO6y8Iy4mimULFY44KesQQgQ/rfWLwIv9PHcncKeXx18HXvdzaIexR0fxh6/MZlxKPPe9U0rOqATOK8o0aqrDZCXED0rrqWnu4n8vkkmGQgQzvyXSA01oAX6MUdYRspo7ndz0+Cd8UFbPD85XTBnnOGpyzLKFipy0BKtDFUKIsGOz2fjh+VPJG5PIpLEOFt0TXishvvhpJclxMZwzLTImVQoRqvyWSPc3oUUpNROYBHhGo3OBjUqpuQw8oSVo7G/q4Lq/f0RJbSt/vGI2Xz4hF8Dr5BghhBD+c+HMLJY9tzmsJnt3dPfyxtb9XDgri/gQHVEXIlIEvLRDa/0ZkOH5XCm1B5hjdu14GbhFKfU0MA9o0loHVVnHzpoWrnn0Q1o6e/j7dSexoDD9sOcd8faQO2kLIUSo6nC62F7d4vU5z2TvUDsnryqupq27ly8dn2t1KEKIQQRbH+nXMVrflWC0v7vO2nAOt76snhsf/5gEezTP3HQy07NTrQ5JCCEimmclxPL69qOeU5kplNW1kRQXQ2JssL3d9e/fGyvJSUtg3qTRVocihBiE5WcWrXVen4/dwBLrounfK5uruO3ZzUwYk8g/rjuJ3FGJVockhBARz7MS4ls7ao+a7H3T6fl8+6lP6Oju5aq5E7j6lImHnbtbO510OF0k2KOCZtS6tqWTtbvquPkLk2VJcCFCgOWJdCh4eG0Zv35tOyfljeKhb84hLTHW6pCEEEKYvK2EuGyhIjstnnu/dgJ/f38PD6/bzUNry1hYlMmtZxUQHxvN3SuDq8tHa6eTfQ0dfPuMAi47Qbp1CBEKJJEegMvl5tevbefR93ZzwYxM/vTV42TihxBCBJn+VkIEmJM3mjl5o6lq7ODJ9eW8ub2Gtu5evnzf+0HT5aPL2UtFY8ehxH5qZjJu8/FQbd8nRKSwckGWoNbp7OXWf33Ko+/t5tpT8/jr106QJFoIIYLYkSsh9pWdlsAPzp/KszedwqPryvrt8mHFYi4VjR0sWr6WFVurKa9vZ+W2GhYtX0tlY0fAYxFCDI8k0l40tTv55qMf8tpn+/nJomn87OIioqVWTQghQp6z1z1ol49Aau10cvdKHVSJvRBi6CSRPkJlYweX3/8+n+49yD1XHc+Np+djs0kSLYQQ4cDT5cMblZnCpr2NtAQwee1wuije3+z1OSsSeyHE8Egi3UdxVTNf/tt7VDd38tj1c7lkdrbVIQkhhPAhT5ePuJjD3/7iYqJYcsZk/vflrZz1h//ywicVuFxuv8cTG2Njamay1+eKslNIiJWSQiGCmSTSpvdKDnDFAx9gw8ZzN5/CqZPHWh2SEEIIP/B0+Vg0M5O8MYksmpnJiqULUJnJPPCNOWSnJXDbc5u5/P732VrZdOjrWjud1LV0+azcoqa5k2XPbWHx/Hyvif2yhQpHXHC05RNCeCddO4D/fFrJ7c9vJn+sg39cfxJZqQlWhySEEMJPBuryMXt8Gi9++1Se31jBXW/s4OK/ruMXF0/n1IIx/GHVTp+1y/twdwNL/rmRtq4erj8tz2v7vpw0eS8SIthFdCLtdru5/79l/O6NHZycP5oHrp5DaoJc/QshRCRwxNu9dviIirJxxZzxnDc9k0fX7WZaVgoX3rPOJ+3y3G43j72/h1+/tp3xoxN56oZ5TBlnlHZ4S+yFEMEtYks7el1ufvbyNn73xg4unp3NY9fPlSRaCCHEIakJdm5cMIlHfNQur6O7l+8/s4mfv1LMGSqDl2457VASDQO37xNCBKeIGpH2LAdrj7bx/17fzjMfV/Ct0/P50flTZSlWIYQQR+lwugZsl7d9fwuZqfGMH5141PN9lyBv6ujhhsc/Zkd1M8sWTuE7ZxTI+44QYSAiEmlvq0Ytnp/P2dPGsXB6ptXhCSGECFKednnl9e1HPTc1M4V3dtZx79slnDhxFF88LpsLZ2WTFBt92HtOUWYK1y+YRFFWMj88X3GGyrDgOxFC+ENEJNKeVaP61re9o+tYsXSBxZEJIYQIZp52eW/tqD2svCMuJoofnK+It0eTFBfNS59W8b8vbeP+/5Zy79dP4KsPrD+8plrX8uqt8ykc573VnRAiNIV9jbSsGiWEEOJY9NcuLyctgey0BL5zRgErv386K5Yu4OeXTOe+d0q9vuf86c2d8p4jRJgJ+xHpoawaJRM7hBBC9Gegdnl9TctKYawjjl+/tt3rfuQ9R4jwE/Yj0gMtByurRgkhhBiqoXTVkPccISJL2CfSAy0HK6tGCSGE8CV5zxEisoR9Ig0D17cJIYQQviTvOUJEjrCvkYah17cJIYQQx0rec4SIHBGRSHv0txysEEII4WvyniNE+IuI0g4hhBBCCCF8TRJpIYQQQgghRkASaSGEEEIIIUZAEmkhhBBCCCFGQBJpIYQQQgghRiBUu3ZEA1RXV1sdhxBCDEuf81YkLXEn52whREga7Jwdqol0FsDXv/51q+MQQoiRygJKrQ4iQOScLYQIdV7P2aGaSH8ELAD2A70WxyKEEMMRjXFC/sjqQAJIztlCiFA14Dnb5na7AxuOEEIIIYQQYUAmGwohhBBCCDECoVraMSClVKvW2uHH/fcCn/V56Ita6z39bPsOsExr/XE/z7uBp7TW3zA/j8G4/blBa32RD2L1+rNQSn0ReBGYprXeMcx9Pgz8UWtdrJTaA8zRWh/wsp1fvzdzn359rYdzrMFe6yEe44uM8HUZwr5/AnwN49a6C7hJa71hmPs4A+jWWr8/hG1zgXuBIoyL9leB27XW3f1s/z3gQa11+xD27cb4HbzN/HwZ4NBa/3xo38nQ9PlbtwM9wOPAn7TWLl8eRxxNKXU+sBzjturDWuvfDrL9o8BFQK3WesYg247HeC3HAW6M37vlA2wfD7wLxGG8bz6vtf7ZEL6HaOBjoHIo5zzzfNqC8Tfao7WeM8j2acDDwAzz+7hea/1BP9sq4Jk+D+UD/6e1/vMA+/8+cIO578+A67TWnf1suxS4EbABD3nbr7fXSCk12owrD9gDXKG1PjjA9l8Bfg5MA+b2Pd/2s/3vgYuBboz61uu01o0DbP8r4FKMc2QtcK3Wuqq/7fsc+zbgbiDd837Yz/5/bv6c6swv/bHW+vWB9q+UuhVYgvF78ZrW+gcD7P8ZQJlfmgY0aq2PG2D744D7gXiMc9x3tNYfDrD9bHN7h/l6fV1r3Ww+5/Xvqr/XeIDtvb7GA2zv9TUeYPt+X+ORkBHpkenQWh/X59+eY9hXGzBDKZVgfn4uUDmcHZgJ6nBdBawz/x/OsaK11jdorYuHsPkxf28RaESvy2CUUqdgnBBP0FrPAs4B9o1gV2cApw7heDbg38B/tNaFwBSME++dA3zZ94DEIcbRBXxZKTV2iNuPlOdvfTrG7+8FwKAJlDg2ZgJ6L8bPuwi4SilVNMiX/QM4f4iH6AFu01oXAScDSwbZfxdwltZ6NnAccL5S6uQhHGcpsH2IMXmcaf7ODZhEm5YDb2itpwKzBzqWNhxnJlUnAu0YF+1eKaVygO9iDJTMwLigubKfbWdgJIdzzTguUkoVeNn0Hxz9Gv0IWGOeJ9aYnw+0/VbgyxgXNkPZ/2pghnne2wncMcj2v9dazzJ/Tq8C/zfI9p4EbyGwdwjxgHEx7skfXh9oe6XUmRhJ32zzPHT3QNtrrb/a53V+AeM8PFA8dwG/MLf/P/PzgbZ/GPiR1nomxu/P7X2e6+/vqr/XuL/t+3uN+9u+v9e4v+0Heo2HLSxHpAGUUg7gJWAUxmjST7XWLyml8oAVGMnKqRiJ3aVa645jPN6JwB8xkoUDGFc4+82nrzZHcWMwRgw+POLLXwcuBJ7HSKD+hTExB6XUXIyTZTzQgXGlpZVS12L8ojmAaKXUhcBfgDkYV16/0Fq/YO7jTowkqgPjD7INmA+cCbwC/MwcafwlxmhIAfA2xpWpSynVCjyAkXwtUUr9mqGPvI7ke3sX+K7WepO53TpgidZ6s7cDmLEv84z4KKX+Cnystf6HOcLzGMbVqh34itZ6h1Iqyfx5zTAf/7nW+qXBvpmBjtVnm+uBWVrr75mf3wgUaa2/P8i+HXh/Xfr73hZh/M61Ae8B+QOMemUBB7TWXQB9Rky8/t6ao+ubgS9g/t5iXLnfDPQqpb4B3Kq1XtvP8c4COrXWfzeP12uObu02R2R+gXGCdgEPYYxiZQNvK6UOaK3PHOhnhXGCfBD4PvCTI36OecCjwFiMUZ/rgCZgCzDJ/J1OAnaYPzPnIMfC/B5qlVLfAj4yv4co4LcYFxdxwL1a6wfMGH4IfMP8/lZorX/kdaeiP3OBEq11GYBS6mmMc1e/F/Ba63fN135Q5rl5v/lxi1JqO5DT3/611m6g1fzUbv4bcIKReUfmQoyLx/8ZSlzDoZRKBU4HrjVj7MYYkRuKs4FSrXX5INvFAAlKKSfGRW5/o3bTMO40tpux/Rfj/alvUtbfa3Qpxt8QGOfqd4Af9re91nq7eYyjguhn+1V9Pl0PXD7I9s19Pk2iz+s8wO/Yn4AfYOQcA8YzkH62/zbw2z7n7tqh7N8czLgC41w80PZuIMX8OJU+r3E/20/h8wR3NbAS+F9z+/7+rry+xv1tr7VebX4Phx14gO29vsYDbN/37/yw13gkwnlEuhP4ktb6BIzE5A/mLxZAIcab3nSgEbhsmPtOUEptMv+9qJSyYyRll2utT8R4E+878pZoXvl8x3zuSE8DV5q3D2cBfW+37wAWaK2Px7hq+k2f504wj/kFjF/kJq31TPOq7C1zmyRgvTmS8i7GqMGlGKMYO4F6M5kC483rVowRoMkYJ0LPPjZorWdrrdcN4+c00u/tEcw3B6XUFCC+vyR6iA6Yvwf3AcvMx34CvKW1novx+/F7M7nyhWeBi83fCzASOW+v+5H6e12OYv48HwAuMH/n0gfZ9ypgvFJqp1Lqb0qpLwz391Ybd17u5/PRlP6SaIDpwCd9HzDfoPZi3CrOA44zf1ef0lrfg3ECP3MISbTHvcDXzYSir78Aj3n2DdyjtW4CNmFcGIBxYblyqEl0n++hDGNkLgNYjPE3dxJwEnCjUmqSUuoCjNdynvl3d1e/OxT9yeHwOyYV5mM+ZyYKx3P4ucnbdtFKqU0YF5Sr9eBlUX/GSK6GUwbkBlYppT4xL9oGMgnjQvHvSqlPlVIPD+McdiXGoEa/tNaVGKOfezGSkaYjEpa+tgILlFJjlFKJwCJg/BBjGddn0Kka4za8v1yPMZA2IKXUnUqpfcDXGWS0Uil1KUbpznDeo25RSm1RSj2qlBo1yLZTMH62G5RS/1VKnTTEYywAarTWuwbZ7nsY73/7MF7vOwbenG0Y5zeAr9DP63zE39Wgr/FQ/w6HsL3X1/jI7YfzGg8mnBNpG/AbpdQW4E2Mk7DnxdvtGe3EeLPPG+a++5Z2fAmjHmkGsNo80f4UyO2z/b/AuLoDUpRR13aI1nqLGcNVGCO4faUCzymltmJc9U7v89xqrXWD+fE5GImFZ58HzQ+7MW5d9P1er8JIcDH/95QRfKi1LtNa95oxzzcf78W4RTRsI/zensO4NWjH+KP4x0iO3Yfn1lbf13oh8CPz9XoHY1R8wjEeBwCtdSvGhcxFSqmpgF1r/dkgXwb9vy7eTAXKtNa7zc8He1Nsxbid+y2MN99ngJs4ht/bY3AG8IDWusfcf8PAm3tnJuaPY9x+7usU4J/mx0/w+e/xM8BXzY+v5PB60ZFYCHzT/NltAMZgXKSfA/zdMzo30u9P+J95F+gF4HtHjEQeRWvda15Y5gJzzXKG/vbrqSv9pL9t+jHfvOi/AOPu3+kDbBuDMZhynzkY0cbhZRH9xRYLXIJxnh1ou1EYCdMkjLtFSeadqKOYo8S/w7hgfwPjonXYbQ7NkX+/tBJTxhyRHoyL68Hi+InWery57S0D7DMR+DHDS8TuwxioOg7jAuUPg2wfA4zGKE24HXi2z6DgQDx3gAfzbeD75vf7fYyBrIFcD3xHKfUJkIyXuyAD/V15e42H83c40Pb9vcbeth/qazwUYVvagXGVkQ6cqLV2mrf4483nuvps1wskcGxswDat9Sn9PH/kicHbieJljKvBMzDekD1+Bbyttf6SeUX1Tp/n2oYQm9P8xQXje03EuNUzUxkTtqLNeF4bIM5OM7keqWF9b1rrdqXUaoyT+BUYCeBAejj8ojD+iOc9r3cvn//O24DLtNZ6ON/IEI7l8TDGCXYH8PfBdqqMyRjeXpeXhni8QZmv4TvAO0qpzzAmrxzr721/iulzCxVAKZWCcbGyZxj7GcyfgY0M4WeM8Xv4G/NnfSKf37UZMqVUPsbvUS3G79CtWuuVR2xz3nD3K45SyeEjXbn4eH6FeaH+AsYdkX8Ptr2HNiYxvY1RmrS1n81OAy4xy6/iMS5En9TmxOsB9l1p/l+rlHoR4y6ht1pgMEbpK/qMjD/PEBJpjCR9o9a6ZpDtzsEYdKoDUEr9G6Mc8sl+Yn8EMwlTSv3GjG8oapRSWdooKcvC+NvyKWWUQl4EnN3n/XAonsIYAOpvXsRkjAuNzWYZQi6wUSk1V2vtdRnPvj93pdRDfD7Q1Z8K4N9m3B8qpVx8XrbmlTLmTX2Zwd87Aa7BqOUH4+Lq4YE21sYk+IXmcaZglC/1Pba3v6t+X+Ph/h32t31/r/EQ9j/YazyocB6RTsUYEXAqo1h/oh+PpYF0ZUzoQillV0r1HTn+qvn4fIzbY01e9vEoRl3zkSOXqXz+BnLtADGsxkiMMI/V3+2iPOAJrfVErXWeeUW2G+M20Fzz1nSUGfNwyzj6M5Lv7WHgHuCjPqPr/SkHipRSceao6dlDiGklcKvnyl4pdfwQvmbIxzLf3MZjdMkYyqjA5Xh/XaL6OZ4G8tXn9WtfPXKHfSlDYZ+HjsOYmDTc39sWjFGIwawBEpVS3zT3EY0x8vIPjJ/9TebJ3nMRwTD2fYg52vssRpmFx/t8Pinq68Bac9tWjIb6y4FXh3txqJRKxyht+at5ol4JfNs8UaOUmmLeWl8NXGeOVvX9/sTQfQQUmuejWIzX82Vf7dz8u38E2K61/uMQtk/33JFRxuTpczEukr3SWt+htc7VWudhxP7WYEm0UipJKZXs+RgjWekvUcdM1PYpdaiQ9GwGqCHvY6gjlXuBk5VSiebP62wGmMyolMow/5+AkcT9s79tj/AyRjKH+f+gc1WGQxndX34AXKKH1hGo73nyUgZ+nT/TWmeY5+w8jKT3hP6SaHP/WX0+/RIDvMam/2CUH3oS11iM+SwDOQfYobUeysVMFZ+XvJ0FDFgK0ud1jsK4i3l/n+f6+7vy+hqP4O/Q6/b9vcYDbD/k13gowm5E2nxz7sK4ynjFHHn7mGP8QQ1Ea92tlLocuEcZ9ZoxGCNl28xNOpVSn2JMULm+n31UYCSOR7oLeEwp9VOMUeP+/Bq4VxllEr0Yk7m8XX1NwphU2NcLGLd3PgL+yueTDfud0T0cI/netNafKKWaGWCk0fNaa633KaWexTgh7QY+HUJYv8J4jbaYJ4TdGFezvjzWsxh1wINdCIDx5va7Ix57AeNN+Kjjaa07lFLfAd5QSrUx+Cp5DuAvZjLQA5RglHk8yPB+b18BnldGXWC/kw211m6l1JeAvyml/hfjguB1jFH6Xoy6vy3KmMT0EMbv3YPm91Olh14nDUaC3vfW3K0YdaO38/lkQ49nMEZdzhjivhOUUbrhaX/3BMbkTDAu9vIwRqBs5rG+qLV+QxktpT5WSnXz+fcthkhr3aOUugXjYiUao0Z/20Bfo5T6F8brOlYpVQH8zBwl9eY04GrgM/P1hT5tyLzIwjhXRWP8Lj+rtR5sJHG4xgEvmnlxDPBPrfUbg3zNrcBT5sVGGYf/rh/FTNDPxSjrGpDWeoNS6nmMOz49GOeeBwf4kheUUmMAJ8bk8EYvxz/qNcKYsPusUmoxxkDFFYNs34AxDyIdeE0ptUlrfd4A29+BMRl4tfmzXa+1vnmA7ReZFycuM56bB4pngN+x/vZ/hnl+cGPcnbtpkO0fBR4139u7gWs8I64DxOO1Br6f/d8ILDff4zox3hcG2t6hlPIM2v2bw9+jvf5d0f9r3N/2cXh/jfvb/h68v8b9bb+4v9d4JMJuZUNl9Dh8SBuTyMQQqSO6Q1hNKZWNUYYwVffTszeQr/VIjqWUehVjYt4aP8Xk0Fq3mkncvcAurfWffLTvdzjGnthCCCFEuAur0g6l1M0YV2E/tToWMXJmOcAG4CcDJNEBe62HeyylVJpSaifGpFS/JNGmG82r7G0YZTIP+PFYQgghhDhC2I1ICyGEEEIIEQhhNSIthBBCCCFEoEgiLYQQQgghxAhIIi2EEEIIIcQISCItxCDMyYPf6fP5GWZHDiGEEBZQSuWZLeGEsJQk0kIMLg34zmAbCSGECB5mb2Qh/Ep+yUREUMYKgG8A6zGWuf0Io5H8L4AMjBXwFmEsYZ1v/v9nrfU9GM3kJ5ut5lZjLB7jMBcrmAF8AnxjmEvPCiGEODbRylhm+1SMVXIvBVYAm4D5GG1L/2BZdCIiSCItIkkB8BWMVfo+wli+ez5wCcZqR5uAqRjLsSYDWil1H/AjYIbW+jg4tHjN8cB0jOVV38NYQclXS6oLIYQYXCFwldb6RnPF2cvMx2O11nMsjEtEECntEJFkt9b6M3ORl23AGnMU+TOMpZ4BXtNad2mtDwC1GMv2evOh1rrC3NemPl8vhBAiMHZrrTeZH3/C5+fhZyyJRkQkSaRFJOnq87Grz+cuPr8703ebXvq/azPU7YQQQvhHf+fhNgtiERFKEmkhBteCUeohhBBCCHGIJNJCDEJrXQ+8p5TaqpT6vdXxCCGEECI42NxuaTQghBBCCCHEcMmItBBCCCGEECMgibQQQgghhBAjIIm0EEIIIYQQIyCJtBBCCCGEECMgibQQQgghhBAjIIm0EEIIIYQQIyCJtBBCCCGEECMgibQQQgghhBAj8P8Bb5ctBEr4N34AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "sns.lineplot(\n", + " data=df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1\n", + ")\n", + "ax1.set_xlabel(\"mnth\")\n", + "sns.lineplot(\n", + " data=df[df.name.str.contains(r\"C\\(hr, Sum\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2\n", + ")\n", + "ax2.set_xlabel(\"hr\");" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of negative predicted values: 9.6%.\n" + ] + } + ], + "source": [ + "print(f\"Number of negative predicted values: {(bikeshare_ols.fittedvalues < 0).mean():.1%}.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At low times there are in average 4.54 bikers, with a std. dev of 3.60.\n", + "At peak times there are in average 212.07 bikers, with a std. dev of 116.47.\n" + ] + } + ], + "source": [ + "low_bikers = df_bikeshare[\n", + " df_bikeshare.mnth.isin([\"Dec\", \"Jan\", \"Feb\"])\n", + " & df_bikeshare.hr.isin([1, 2, 3, 4])\n", + " & df_bikeshare.weathersit.isin([\"light rain/snow\", \"heavy rain/snow\"])\n", + "].bikers\n", + "high_bikers = df_bikeshare[\n", + " df_bikeshare.mnth.isin([\"April\", \"May\", \"Jun\"])\n", + " & df_bikeshare.hr.isin([7, 8, 9, 10])\n", + " & (df_bikeshare.weathersit == \"clear\")\n", + "].bikers\n", + "print(f\"At low times there are in average {low_bikers.mean():.2f} bikers, with a std. dev of {low_bikers.std():.2f}.\")\n", + "print(\n", + " f\"At peak times there are in average {high_bikers.mean():.2f} bikers, with a std. dev of {high_bikers.std():.2f}.\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "\n", + "data = df_bikeshare[[\"hr\", \"bikers\"]].copy().sort_values(\"hr\").groupby([\"hr\"]).mean().reset_index()\n", + "spline = interpolate.UnivariateSpline(data.hr, data.bikers, s=50000)\n", + "xs = np.linspace(0, 23, 1000)\n", + "ys = spline(xs)\n", + "sns.regplot(\n", + " data=df_bikeshare,\n", + " x=df_bikeshare.hr.astype(\"int\"),\n", + " y=\"bikers\",\n", + " fit_reg=False,\n", + " scatter_kws=dict(alpha=0.5, s=2),\n", + " x_jitter=0.2,\n", + " ax=ax1,\n", + ")\n", + "ax1.plot(xs, ys, c=\"g\")\n", + "\n", + "sns.regplot(\n", + " data=df_bikeshare,\n", + " x=df_bikeshare.hr.astype(\"int\"),\n", + " y=\"bikers\",\n", + " fit_reg=False,\n", + " scatter_kws=dict(alpha=0.5, s=2),\n", + " x_jitter=0.2,\n", + " ax=ax2,\n", + ")\n", + "ax2.plot(xs, ys, c=\"g\")\n", + "ax2.set_yscale(\"log\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.6.2 Poisson Regression on the Bikeshare Data" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 16.256725\n", + " Iterations 9\n" + ] + }, + { + "data": { + "text/html": [ + "
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namecoefstd errzP>|z|[0.0250.975]clean_name
0Intercept4.11820.006683.9630.0004.1064.130Intercept
1C(weathersit)[T.cloudy/misty]-0.07520.002-34.5280.000-0.080-0.071C(weathersit)[T.cloudy/misty]
2C(weathersit)[T.heavy rain/snow]-0.92630.167-5.5540.000-1.253-0.599C(weathersit)[T.heavy rain/snow]
3C(weathersit)[T.light rain/snow]-0.57580.004-141.9050.000-0.584-0.568C(weathersit)[T.light rain/snow]
40workingday0.01470.0027.5020.0000.0110.018workingday
41temp0.78530.01168.4340.0000.7630.808temp
\n", + "
" + ], + "text/plain": [ + " name coef std err z P>|z| \\\n", + "0 Intercept 4.1182 0.006 683.963 0.000 \n", + "1 C(weathersit)[T.cloudy/misty] -0.0752 0.002 -34.528 0.000 \n", + "2 C(weathersit)[T.heavy rain/snow] -0.9263 0.167 -5.554 0.000 \n", + "3 C(weathersit)[T.light rain/snow] -0.5758 0.004 -141.905 0.000 \n", + "40 workingday 0.0147 0.002 7.502 0.000 \n", + "41 temp 0.7853 0.011 68.434 0.000 \n", + "\n", + " [0.025 0.975] clean_name \n", + "0 4.106 4.130 Intercept \n", + "1 -0.080 -0.071 C(weathersit)[T.cloudy/misty] \n", + "2 -1.253 -0.599 C(weathersit)[T.heavy rain/snow] \n", + "3 -0.584 -0.568 C(weathersit)[T.light rain/snow] \n", + "40 0.011 0.018 workingday \n", + "41 0.763 0.808 temp " + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikeshare_poisson = smf.poisson(\n", + " \"bikers ~ workingday + temp + C(weathersit) + C(mnth, Sum) + C(hr, Sum)\", df_bikeshare\n", + ").fit()\n", + "table = bikeshare_poisson.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 5))\n", + "sns.lineplot(\n", + " data=df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax1\n", + ")\n", + "ax1.set_xlabel(\"mnth\")\n", + "sns.lineplot(\n", + " data=df[df.name.str.contains(r\"C\\(hr, Sum\\)\")], x=\"clean_name\", y=\"coef\", marker=\".\", markersize=15, ax=ax2\n", + ")\n", + "ax2.set_xlabel(\"hr\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.7 Lab: Classification Methods" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.7.1 The Stock Market Data" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Lag1Lag2Lag3Lag4Lag5VolumeTodayDirection
Year
20010.381-0.192-2.624-1.0555.0101.19130.9591
20010.9590.381-0.192-2.624-1.0551.29651.0321
20011.0320.9590.381-0.192-2.6241.4112-0.6230
2001-0.6231.0320.9590.381-0.1921.27600.6141
20010.614-0.6231.0320.9590.3811.20570.2131
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" + ], + "text/plain": [ + " Lag1 Lag2 Lag3 Lag4 Lag5 Volume Today Direction\n", + "Year \n", + "2001 0.381 -0.192 -2.624 -1.055 5.010 1.1913 0.959 1\n", + "2001 0.959 0.381 -0.192 -2.624 -1.055 1.2965 1.032 1\n", + "2001 1.032 0.959 0.381 -0.192 -2.624 1.4112 -0.623 0\n", + "2001 -0.623 1.032 0.959 0.381 -0.192 1.2760 0.614 1\n", + "2001 0.614 -0.623 1.032 0.959 0.381 1.2057 0.213 1" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_stock = pd.read_csv(\"Data/Smarket.csv\", parse_dates=True)\n", + "# convert direction to binary. Up is 1, Down is 0\n", + "df_stock.replace({\"Up\": 1, \"Down\": 0}, inplace=True)\n", + "df_stock.Year = pd.to_datetime(df_stock.Year, format=\"%Y\").dt.year.astype(\"str\")\n", + "df_stock = df_stock.set_index(\"Year\")\n", + "df_stock.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 1250 entries, 2001 to 2005\n", + "Data columns (total 8 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Lag1 1250 non-null float64\n", + " 1 Lag2 1250 non-null float64\n", + " 2 Lag3 1250 non-null float64\n", + " 3 Lag4 1250 non-null float64\n", + " 4 Lag5 1250 non-null float64\n", + " 5 Volume 1250 non-null float64\n", + " 6 Today 1250 non-null float64\n", + " 7 Direction 1250 non-null int64 \n", + "dtypes: float64(7), int64(1)\n", + "memory usage: 87.9+ KB\n" + ] + } + ], + "source": [ + "df_stock.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Lag1Lag2Lag3Lag4Lag5VolumeTodayDirection
count1250.0000001250.0000001250.0000001250.0000001250.000001250.0000001250.0000001250.000000
mean0.0038340.0039190.0017160.0016360.005611.4783050.0031380.518400
std1.1362991.1362801.1387031.1387741.147550.3603571.1363340.499861
min-4.922000-4.922000-4.922000-4.922000-4.922000.356070-4.9220000.000000
25%-0.639500-0.639500-0.640000-0.640000-0.640001.257400-0.6395000.000000
50%0.0390000.0390000.0385000.0385000.038501.4229500.0385001.000000
75%0.5967500.5967500.5967500.5967500.597001.6416750.5967501.000000
max5.7330005.7330005.7330005.7330005.733003.1524705.7330001.000000
\n", + "
" + ], + "text/plain": [ + " Lag1 Lag2 Lag3 Lag4 Lag5 \\\n", + "count 1250.000000 1250.000000 1250.000000 1250.000000 1250.00000 \n", + "mean 0.003834 0.003919 0.001716 0.001636 0.00561 \n", + "std 1.136299 1.136280 1.138703 1.138774 1.14755 \n", + "min -4.922000 -4.922000 -4.922000 -4.922000 -4.92200 \n", + "25% -0.639500 -0.639500 -0.640000 -0.640000 -0.64000 \n", + "50% 0.039000 0.039000 0.038500 0.038500 0.03850 \n", + "75% 0.596750 0.596750 0.596750 0.596750 0.59700 \n", + "max 5.733000 5.733000 5.733000 5.733000 5.73300 \n", + "\n", + " Volume Today Direction \n", + "count 1250.000000 1250.000000 1250.000000 \n", + "mean 1.478305 0.003138 0.518400 \n", + "std 0.360357 1.136334 0.499861 \n", + "min 0.356070 -4.922000 0.000000 \n", + "25% 1.257400 -0.639500 0.000000 \n", + "50% 1.422950 0.038500 1.000000 \n", + "75% 1.641675 0.596750 1.000000 \n", + "max 3.152470 5.733000 1.000000 " + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_stock.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 Lag1Lag2Lag3Lag4Lag5VolumeTodayDirection
Lag11.000000-0.026294-0.010803-0.002986-0.0056750.040910-0.026155-0.039757
Lag2-0.0262941.000000-0.025897-0.010854-0.003558-0.043383-0.010250-0.024081
Lag3-0.010803-0.0258971.000000-0.024051-0.018808-0.041824-0.0024480.006132
Lag4-0.002986-0.010854-0.0240511.000000-0.027084-0.048414-0.0069000.004215
Lag5-0.005675-0.003558-0.018808-0.0270841.000000-0.022002-0.0348600.005423
Volume0.040910-0.043383-0.041824-0.048414-0.0220021.0000000.0145920.022951
Today-0.026155-0.010250-0.002448-0.006900-0.0348600.0145921.0000000.730563
Direction-0.039757-0.0240810.0061320.0042150.0054230.0229510.7305631.000000
\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# very small correlations (today and direction are obiously correlated)\n", + "df_stock.corr().style.background_gradient(\"PiYG\", axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# volume increases with year\n", + "sns.boxplot(data=df_stock, x=df_stock.index, y=\"Volume\");" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# volumne by year and direction\n", + "ax = sns.boxplot(data=df_stock, x=df_stock.index, y=\"Volume\", hue=\"Direction\")\n", + "handles, _ = ax.get_legend_handles_labels()\n", + "ax.legend(handles, [\"Down\", \"Up\"]);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Data for sklearn" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "X = df_stock[df_stock.columns.difference([\"Today\", \"Direction\"])]\n", + "y = df_stock[\"Direction\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.7.2 Logistic Regression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### statsmodels" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 0.691034\n", + " Iterations 4\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Logit Regression Results
Dep. Variable: Direction No. Observations: 1250
Model: Logit Df Residuals: 1243
Method: MLE Df Model: 6
Date: Sun, 17 Oct 2021 Pseudo R-squ.: 0.002074
Time: 16:53:00 Log-Likelihood: -863.79
converged: True LL-Null: -865.59
Covariance Type: nonrobust LLR p-value: 0.7319
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coef std err z P>|z| [0.025 0.975]
Intercept -0.1260 0.241 -0.523 0.601 -0.598 0.346
Lag1 -0.0731 0.050 -1.457 0.145 -0.171 0.025
Lag2 -0.0423 0.050 -0.845 0.398 -0.140 0.056
Lag3 0.0111 0.050 0.222 0.824 -0.087 0.109
Lag4 0.0094 0.050 0.187 0.851 -0.089 0.107
Lag5 0.0103 0.050 0.208 0.835 -0.087 0.107
Volume 0.1354 0.158 0.855 0.392 -0.175 0.446
" + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " Logit Regression Results \n", + "==============================================================================\n", + "Dep. Variable: Direction No. Observations: 1250\n", + "Model: Logit Df Residuals: 1243\n", + "Method: MLE Df Model: 6\n", + "Date: Sun, 17 Oct 2021 Pseudo R-squ.: 0.002074\n", + "Time: 16:53:00 Log-Likelihood: -863.79\n", + "converged: True LL-Null: -865.59\n", + "Covariance Type: nonrobust LLR p-value: 0.7319\n", + "==============================================================================\n", + " coef std err z P>|z| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept -0.1260 0.241 -0.523 0.601 -0.598 0.346\n", + "Lag1 -0.0731 0.050 -1.457 0.145 -0.171 0.025\n", + "Lag2 -0.0423 0.050 -0.845 0.398 -0.140 0.056\n", + "Lag3 0.0111 0.050 0.222 0.824 -0.087 0.109\n", + "Lag4 0.0094 0.050 0.187 0.851 -0.089 0.107\n", + "Lag5 0.0103 0.050 0.208 0.835 -0.087 0.107\n", + "Volume 0.1354 0.158 0.855 0.392 -0.175 0.446\n", + "==============================================================================\n", + "\"\"\"" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "logistic = smf.logit(\"Direction ~ Lag1 + Lag2 + Lag3 + Lag4 + Lag5 + Volume\", df_stock.reset_index()).fit()\n", + "logistic.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.50708413, 0.48146788, 0.48113883, 0.51522236, 0.51078116,\n", + " 0.50695646, 0.49265087, 0.50922916, 0.51761353, 0.48883778])" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "log_predictions = logistic.predict()\n", + "log_predictions[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Real
UpDownTotal
PredictedUp507457964
Down141145286
Total6486021250
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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "logistic = LogisticRegression(C=np.inf)\n", + "logistic.fit(X, y)\n", + "classification.print_OLS_error_table(logistic, X, y)\n", + "display(classification.get_confusion_matrix(logistic, X, y))\n", + "RocCurveDisplay.from_estimator(logistic, X, y);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### test/train split" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "X_train = X[:\"2004\"]\n", + "y_train = y[:\"2004\"]\n", + "X_test = X[\"2005\":]\n", + "y_test = y[\"2005\":]" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No. Observations: 998\n", + "Df Residuals: 991\n", + "Df Model: 6\n", + "Log-Likelihood: -690.55\n", + "AIC: 1395.11\n", + " Coefficients Standard Errors t values p values\n", + "Intercept 0.1912 0.052 3.692 0.000\n", + "Lag1 -0.0542 0.052 -1.046 0.296\n", + "Lag2 -0.0458 0.052 -0.887 0.375\n", + "Lag3 0.0072 0.052 0.139 0.889\n", + "Lag4 0.0064 0.051 0.126 0.900\n", + "Lag5 -0.0042 0.240 -0.018 0.986\n", + "Volume -0.1163 0.334 -0.348 0.728\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "reduced_cols = [\"Lag1\", \"Lag2\"]\n", + "logistic_reduced = LogisticRegression(C=np.inf).fit(X_train[reduced_cols], y_train)\n", + "classification.print_OLS_error_table(logistic_reduced, X_train[reduced_cols], y_train)\n", + "display(classification.get_confusion_matrix(logistic_reduced, X_test[reduced_cols], y_test))\n", + "RocCurveDisplay.from_estimator(logistic_reduced, X_test[reduced_cols], y_test);" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.5595238095238095" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(y_test == logistic_reduced.predict(X_test[reduced_cols])).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.47914604, 0.49611109])" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "logistic_reduced.predict_proba(pd.DataFrame([[1.2, 1.1], [1.5, -0.8]], columns=[\"Lag1\", \"Lag2\"]))[:, 1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.7.3 Linear Discriminant Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "# use only Lag1 and Lag2\n", + "X_train_restricted = X_train[[\"Lag1\", \"Lag2\"]]\n", + "X_test_restricted = X_test[[\"Lag1\", \"Lag2\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prior probabilities of groups: \n" + ] + }, + { + "data": { + "text/html": [ + "
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\n", 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\n", 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thetastd
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Lag2Down0.0338941.237929
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" + ], + "text/plain": [ + " theta std\n", + "Lag1 Down 0.042790 1.226195\n", + " Up -0.039546 1.230453\n", + "Lag2 Down 0.033894 1.237929\n", + " Up -0.031325 1.219561" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "gnb = GaussianNB().fit(X_train_restricted, y_train)\n", + "print(\"Prior probabilities of groups: \")\n", + "display(pd.DataFrame(data=gnb.class_prior_.reshape((1, 2)), columns=[\"Down\", \"Up\"], index=[\"\"]))\n", + "print(\"Group means: \")\n", + "display(\n", + " pd.DataFrame(\n", + " np.concatenate((gnb.theta_.reshape(-1, 1), np.sqrt(gnb.var_.reshape(-1, 1))), axis=1),\n", + " columns=[\"theta\", \"std\"],\n", + " index=pd.MultiIndex.from_product([[\"Down\", \"Up\"], [\"Lag1\", \"Lag2\"]]),\n", + " )\n", + " .swaplevel(0, 1, axis=0)\n", + " .sort_index()\n", + ")\n", + "print()" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lag1 Down mean = 0.0428 +- 1.23\n" + ] + } + ], + "source": [ + "print(\n", + " f'Lag1 Down mean = {X_train_restricted.loc[y_train == 0, \"Lag1\"].mean():.4f} +- {X_train_restricted.loc[y_train == 0, \"Lag1\"].std():.2f}'\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Real \n", + " 0 1 Total\n", + "Predicted 0 29 20 49\n", + " 1 82 121 203\n", + " Total 111 141 252" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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zSe5St45I7snU4v/a3TcDuPtGYGk1kv5KoENkuX24LmVboCvwqpktB/oAxWbWM+b5RUSkBjK1+Pcws/nhz0XAruFyEVDq7vtUcexsoIuZdSJI+CcBI1Ib3X0t0Dq1bGavApdpVI+ISLIyJf49a3pid99kZucBMwmGcz7g7ovMbBwwx92La3puyV0apy+S+zIVaatVYTZ3nw5ML7dubCX79q3Na0lu0Dh9kdwXe7J1kcqo2JpIfolbpE2kUiq2JpJfYrf4zawF0NHdPcF4JE+plS+SP2K1+M3seOBtYEa4vK+Z6easiEgeitvVcw1BCYbPAdz9bYLa/CIikmdil2V297VmFl1XmkA8kuNUf0ck/8VN/IvMbATQ2My6ABcArycXluQqzY0rkv/iJv7zgSuBr4BHCR7Kui6poCS36UauSH6Lm/j3cPcrCZK/iIjksbiJ/1Yza0MwS9YT7r4wwZhERCRBsUb1uHs/gpm3VgP3mtkCM7sq0chERCQRsZ/cdfdV7n47cDbBmP60NXdERCS3xerqMbM9geHAUOBT4AmCidelAVDFTZHCEreP/wGCZH+0u/8nwXgkB6nipkhhiZX43V1j9xqIqh7Q0hBOkcJQZeI3sz+6+zAzW8CWT+rGmYFLcli6BA/w5rLPAOjdqVXZOrXyRQpLphb/heHfA5IOROpWuidwIUj4g/Ztx4jeHespMhFJWqYZuD4KfzzH3S+PbjOz8cDlFY+SfKHuG5GGKe7N3SOpmOSPSbNOcpAKq4lIVKY+/l8C5wCdzWx+ZNO2wD+SDExqJ5rs1W8vIlGZWvyPAi8ANwBjIuvXuftniUUltRbtw1e/vYhEZUr8pe6+3MzOLb/BzFop+ec29eGLSDpxWvwDgLkEwzmLIttKgc4JxSUiIgnJNKpnQPi3plkUESkQcWv1HAS87e7rzewUoAdwm7t/mGh0IiKSdXGrc94NbDCzbgTF2ZYAjyQWlYiIJCZu4t/k7qXAIOD37n4nwZBOERHJM3Ef4FpnZr8GRgEHm1kjoGlyYYmISFLiJv7hwAjg5+6+ysw6AjcnF5bEVVmxNT2ZKyKViVuWeZWZTQV6mdkA4C13fzjZ0KQqqYSf7qlc0JO5IlK5uKN6hhG08F8lGMt/h5mNdvcnMxzXH5gINAYmufuN5bZfApwBbCKYz/fn7v5BdS+iIUo9maunckWkuuJ29VwJ9HL3jwHM7PvAX4BKE7+ZNQbuJCjwVgLMNrNid18c2e2fQE933xDWBbqJoFtJYtCTuSJSE3ETf6NU0g99SuYRQfsD77v7UgAze5xgVFBZ4nf3VyL7zwJOiRmPiIjUUNzEP8PMZgKPhcvDgekZjmkHrIgslwC9q9j/dIKCcCIikqC4N3dHm9lPgB+Hq/7g7tOyFUT4NHBP4NBsnVNERNLLVI+/C3ALsCuwALjM3SuOHUxvJdAhstw+XFf+NY4guIdwqLt/FfPcDYaGa4pItmXqp38AeA4YSlCh845qnHs20MXMOplZM+AkoDi6g5l1B+4FBpa7hyCh1Oid8jRcU0RqKlNXz7bufl/4s5vZvLgndvdNZnYeMJNgOOcD7r7IzMYBc9y9mGCI6DbAn8wM4EN3H1jtqyhwGr0jItmUKfE3D1vlqTr8LaLL7l7lB4G7T6fcTWB3Hxv5+YhqRywiIrWSKfF/BEyILK+KLJcChyURVENSWR9+ivryRSTbMk3E0q+uAmmoonPjpqO+fBHJtrjj+CVB6sMXkbqkxF8Pot076soRkbqmxF9Hosk+WlFTXTkiUtfiVucsAkYCnd19XFiPv427v5VodAUk2pevipoiUp/itvjvAjYTjOIZB6wDngJ6JRRXQVJfvojkgrhz7vZ293OBjQDuvgZollhUIiKSmLgt/m/C+vqlUFaPf3NiURWQVN++buKKSK6I2+K/HZgG7GRm/w/4P+D6xKIqINGkr5u4IpIL4pZlnmpmc4HDCco1DHb3dxONLI+lG66pvn0RyRWxWvzhKJ4NwJ8JKmyuD9dJGtGKmmrpi0iuidvH/zxB/34R0BzoBDjwo4Tiyntq5YtIrorb1bN3dNnMegDnJBKRiIgkKu7N3S2E5Zirmj9XRERyVNwndy+JLDYCegD/SSQiERFJVNw+/m0jP28i6PN/KvvhiIhI0jIm/vDBrW3d/bI6iCdvqeKmiOSLKvv4zayJu38LHFRH8eQtDeEUkXyRqcX/FkF//ttmVgz8CVif2ujuTycYW97REE4RyQdx+/ibA58SVOdMjecvBZT4RUTyTKbEv1M4omch3yX8lNLEohIRkcRkSvyNgW3YMuGnNKjEH715m45u6IpIvsiU+D9y93F1EkmOy1RaWTd0RSRfZEr86Vr6BS9d615VNkWkUGRK/IfXSRQ5oLLJ0FPUoheRQlHlOH53/6yuAqlv0XH4vTu14vohe/PEWQds8UeTo0uu+OSTT7j00ks5/PDD+clPfsLw4cN56aWXEn/dBQsWcN1119X4+MMOO4zzzz+/bHnGjBmMGTMGgKeffpo+ffowaNAgjjvuOC644AK+/PLLtOf5y1/+wu9///st1g0aNIiLL754i3WjRo1iwYIFZcslJSUMGDCgbHn+/PmMHDmSo48+msGDB3PllVdW+ppxrVixghNPPJEjjzySiy66iK+//rrCPiUlJeyzzz4MGjSIQYMGMXbs2LJtX3/9Nb/5zW84+uij6d+/PzNnzgRgypQpPPnkk7WKLSXucM4GQV05kg9KS0s599xzGTx4MLfeeisAK1eu5K9//Wvir7333nuz9957Z96xCosWLeL9999nt912q7Dt2GOPLUuCl156KdOnT2fo0KEV9ps0aRJ33XVX2fKSJUvYvHkzc+bMYcOGDWy99dYZ4/jkk0+48MILmTBhAt27dweCD6L169fTokWLml4et9xyC6eeeirHHXccY8eO5cknn2TEiBEV9uvYsSPPPvtshfX33HMPrVq1YubMmWzevJnPP/8cgKFDh3LyySdzwgkn1Di2lBpV5xSR+jNr1iyaNm3KySefXLauXbt2jBo1CghakyNGjGDIkCEMGTKEefPmAfDmm29y1llnlR0zbtw4nn46eBTnlltu4dhjj+X4449n/PjxALzwwgsMGDCAgQMHMnLkyArnmD9/PsOHD2fw4MGcdNJJLF26FAha7ueddx6nn346Rx11FDfddNMW8Z922mncfffdVV7jpk2b2LBhA9ttt12FbcuWLaNp06a0avVdV+xzzz3HwIED+fGPf8zLL78c412EqVOnMnjw4LKkD9C/f39at24d6/h0SktLmTVrFkcffTQAQ4YMiR1PylNPPVX2Hjdq1KjsOlu0aEG7du2YP39+jeNLadAtftXXkdp6am4Jf5yzIqvnHNazA0P3a1/p9n//+9/stddelW7fcccdefDBB9lqq61Yvnw5l1xySVmCT2fNmjW89NJLzJgxg6KiIv73v6DL86677uL+++9n5513LlsX1blzZ6ZOnUqTJk14/fXX+d3vfscdd9wBwLvvvsszzzxDs2bN6N+/P6NGjaJt27YAHHPMMTz66KN88MEHFc45ffp05s6dy+rVq9lll13o169fhX3mzZvHj370owrHPfjggyxdupQpU6Zw/PHHV3q9Kf/+978ZPHhwxv2WLl1aoQsp5ZFHHqFly+/yxpo1a2jZsiVNmgSptU2bNvz3v/9Ne2xJSQmDBw9mm2224aKLLqJnz55l7/PEiRN566236NChA2PHji37MOratStz5sxhn332yRh3VRp04o8O0dTNW8lX1157LXPnzqVp06Y89dRTbNq0iXHjxvHee+/RqFEjli9fXuXx2267LVtttRVXXHEF/fr1o2/fvgB0796dMWPGcMwxx3DkkUdWOG7dunVcfvnlfPDBBxQVFfHNN9+UbTvggAPYdtugqO+uu+7KypUryxJ/o0aNOP3007n33ns55JBDtjhnqquntLSUa6+9lvvvv58zzzxzi31Wr169RWt/wYIF7LDDDvzgBz9g55135oorruDzzz9n++23T3u9RUXVG6zYuXPntF0ytbHTTjvxyiuvsMMOO7Bw4ULOPfdcnn/+eTZt2sSqVavo3r07v/71r3nwwQcZP348N998MxB8qKe+WdVGoonfzPoDEwkeBJvk7jeW274V8DCwH0FJiOHuvjzJmMpTv77UxtD92lfZOk9Cly5dePHFF8uWr776aj777LOyvt/JkyfTunVrnn32WTZv3lzWOmzcuDGbN28uO+6rr74CoEmTJjz55JO88cYbzJgxgylTpvDwww8zbtw43nnnHV599VWGDh3KU09tWYl94sSJ9O7dmzvvvJOSkhJ++tOflm1r1qxZ2c+NGzfm22+/3eLYQYMG8Yc//IHdd9897TUWFRXRr18/pkyZUiHxN2/enHXr1pUtP//88yxbtozDDjsMgC+++IIXX3yRYcOGscMOO2zxbWXt2rVlHwi77bYbixYt4ogjjkgbQ0p1Wvyp19u0aRNNmjRh1apV7LzzzhWOa9asWdl71LVrVzp27MiyZcvo2rUrLVq04KijjgKCrqfoDd2vvvqKrbbaqsp440gs8YflnO8EjgRKgNlmVuzuiyO7nQ6scffdzOwkYDwwPFsx6GlbKUR9+vRhwoQJPProo2U3DTdu3Fi2fd26dbRp04ZGjRoxbdq0sqTbrl07lixZwtdff83GjRt544032G+//Vi/fj0bN27k0EMPpUePHmWJ8MMPP6Rbt25069aN1157jVWrVm0Rx7p168qS2rRp06p1DU2bNuVnP/sZ9913H3369Em7z7x58+jYseJIus6dO1NcXAzA5s2beeGFFyguLi6LZdasWdx1110MGzaM/fffn+LiYg488ECKioqYNm0avXsHkweecsopnHjiifTt25du3boB8OKLL9KjR48t+vmr0+IvKiqid+/ezJw5k+OOO45p06aVfSBFffbZZ2y33XY0btyYFStWsHz5cjp06FD2gffmm29ywAEH8MYbb7DrrruWHbd8+XJ69OgRK5aqJNni3x94392XApjZ48AgIJr4BwHXhD8/CfzezIrcPSvlIJ59eyVvLvtsi/H4UerekXxUVFTEnXfeyQ033MCkSZNo1aoVLVq04LLLgikzRowYwfnnn88zzzzDwQcfXDbCpW3btvTv358BAwbQvn37svsE69ev55xzzin7BpAaXnnTTTfxwQcfUFpaSp8+fdhjjz146623yuI444wzGDNmDHfffTeHHnpota/jxBNPrHCTN9XHv3nzZtq0acONN95Y4bhevXoxfvx4SktLmTNnDjvvvPMWrepevXqxZMkSPv74Y4YNG8bSpUsZOHAgRUVFdO3alUsvvRSA1q1bM2HCBMaPH8+nn35Ko0aN6NWrFwcffHC1ryVq9OjRXHzxxdx2223sueeenHjiiQC8/PLLLFy4kAsvvJDZs2dz++2306RJExo1asS1115b9k3ksssu41e/+hXXX389rVq14oYbbig797x58zjvvPNqFR9AUWlpMiV3zOwEoL+7nxEujwJ6u/t5kX0WhvuUhMtLwn0+ieyzC7Ds5Zdfpn376n2lfmpuCUCdfxUXkWRdd911HHbYYRx44IH1HUqdWbx4MQ8++GBZf39VSkpKOPzwwwE6pes+L+ibu0r4IoXp7LPP5p133qnvMOrUmjVruPDCC7NyriQT/0qgQ2S5fbgu3T4lZtYE2I7gJq+ISKVat26datE2GAcdlL2JEJNM/LOBLmbWiSDBnwSUf3ytGPgZ8AZwAvDXbPXvi4hIeok9uevum4DzgJnAu8Af3X2RmY0zs4HhbvcDO5rZ+8AlwJik4hERkUCiffzuPh2YXm7d2MjPG4ETk4xBRES2pFo9IiINjBK/iEgDo8QvItLA5MM4/sZAhcfFRUQkvUi+bJxuez4k/rZAWT1wERGJrS2wpPzKfEj8s4GDgY+AbzPsKyIiQUu/LUH+rCCxWj0iIpKbdHNXRKSByYeunljyYdKXbIpxvZcAZwCbgNXAz9294lx3eSTTNUf2G0pQ5ruXu8+pwxCzLs41m9kwgvLmpcA77l5xZu88EuPfdkfgIWD7cJ8x4cOiecnMHgAGAB+7e9c024sI3o9jgQ3Aqe4+rzavWRAt/sikL8cAewEnm1n5SUnLJn0Bfkcw6Uteinm9/wR6uvs+BEnwJvJYzGvGzLYFLgTerNsIsy/ONZtZF+DXwEHu/iPgorqOM5ti/p6vIigB052gBthddRtl1k0G+lex/RigS/jnTKDqmepjKIjET2TSF3f/GkhN+hI1iKCVAEEiPDz8JM1HGa/X3V9x9w3h4iyC6qj5LM7vGOC3BB/qG9NsyzdxrvkXwJ3uvgbA3T+u4xizLc41lwKpqfO2A/5Th/Flnbu/BnxWxS6DgIfdvdTdZwHbm1nb2rxmoST+dsCKyHJJuC7tPmEBubXAjnUSXfbFud6o04EXEo0oeRmv2cx6AB3c/fm6DCxBcX7PuwO7m9k/zGxW2E2Sz+Jc8zXAKWZWQlAL7Py6Ca3eVPf/e0aFkvilEmZ2CtATyDxtTx4zs0bABODS+o6ljjUh6ALoC5wM3Gdm29dnQHXgZGCyu7cn6Pd+JPz9S0yF8mZVZ9IXCmDSlzjXi5kdAVwJDHT3r+ootqRkuuZtga7Aq2a2HOgDFJtZzzqLMPvi/J5LgGJ3/8bdlwH/IvggyFdxrvl04I8A7v4G0BxoTeGK9f+9OgplVE9Dm/Ql4/WaWXfgXoI5jfO93xcyXLO7ryXyn9/MXgUuy/NRPXH+XT9D0AJ+0MxaE3T9LK3LILMszjV/CBwOTDazPQkS/+o6jbJuFQPnmdnjQG9grbt/VJsTFkSLv6FN+hLzem8GtgH+ZGZvm1lxPYWbFTGvuaDEvOaZwKdmthh4BRjt7vn6TTbuNV8K/MLM3gEeIxjemK+NOMzsMYIGqZlZiZmdbmZnm9nZ4S7TCT7M3wfuA86p7WvqyV0RkQamIFr8IiISnxK/iEgDo8QvItLAKPGLiDQwSvwiIg2MEr+ISAOjxF+gzOzbcPx+6s8uVez7RRZeb7KZLQtfa56ZHVCDc0xKVWI0syvKbXu9tjGG50m9LwvN7M+ZyhuY2b5mdmwNXqetmT0X/tzXzNaGr/uumV1dg/MNNLMx4c+DoxUrwzHuR1T3nGleY7KZnZBhn1er8zR0eO3PxdjvATP72MwWllt/i5kdFvf1JB4l/sL1pbvvG/mzvA5ec7S770vwcNy91T3Y3c9w98Xh4hXlth1Y+/CA796XrgQVEc/NsP++BPVgqusSgodtUv4evjc9CQqM9ajOydy9OFKXfjBByeLUtrHu/pcaxJhLJpO+NPEd5PHDlrmqUEo2SAZmtg3wLLAD0BS4yt2fLbdPW+AJgpK3TYBfuvvfzewo4FpgK4KJm09z96q+JbwG7Bae8xLg5+H6Se5+m5l9j6DWSnuCiTR+6+5PpMosEJTUaGFmbwOL3H2kmX3h7tuEj60/kqrAaWaTgeeAacCNBMXKtiIoVZzpw+cNYJ/wPPsTTHbRHPgSOA1YBowLY/kxcEP4WncQ1AVqClxT/n0MDSWoG78Fd19vZnOB3cxsM3APsDXB+/pzd19jZhcAZxNMorPY3U8ys1MJPjQeBQYCh5rZVeHr/CaM6wvgdHc/MbymvgRlKwZU93doZmOB44EWwOvAWZGnY0eZ2SSCfyM/d/e3wt9pnPclLXd/Ld23Unf/wMx2NLM27r4q7vmkamrxF64WkW6eaQT16Ye4ew+gH3BrmvkIRgAzw5ZpN+DtsP7LVcAR4bFzCFqzVTkeWGBm+xEk0N4ERdN+EdYQ6g/8x927hS3vGdGD3X0M37XMR5Y79xPAMAAza0ZQs+V5gsJda929F9ArfK1OlQVowYQfhxPUQQF4Dzg4nNxjLHB9WA9+LPBEGMsTBEXv/uru+xO8jzeHSS967k4Ek/5UKIxnZjuG78UighnhLg8ny1kApLqAxgDdw/VnR49399fDmEeHMS2JbP4L0DsSz3Dg8Rr+Dn/v7r3C308LghmiUrYO/42cAzwQrovzvvQMPzCqax5wUA2Ok0qoxV+4vgz/cwJgZk2B683sEGAzQT3vnYFoK2o28EC47zPu/raZHUrQrfAPMwNoRtBSTufmsBW6miARHw5Mc/f1YQxPAwcTJPpbzWw88Jy7/70a1/UCMNGCqTT7A6+5+5dhi3afSB/1dgRVKpeVOz71TaIdQS2YlyL7P2TBjFalBK3WdI4CBprZZeFyc6BjeK6UtlQsGnawmf2T4L2/kaCq5vbu/rdw+0PAn8Kf5wNTzewZgiJssbj7JjObARxvZk8CxwG/AqrzO0zpZ2a/Ivg20orgg+rP4bbHwtd7zcxahvdJKntfovHNIZgOtLo+Bn5Qg+OkEkr8DcdI4PvAfu7+jQWli5tHdwj/Ix9CkDAmm9kEYA3wkrufHOM1Rrv7k6kFMzs83U7u/q+wj/tY4Doze9ndx8W5CHffGHYJHU3Yog03FQHnu/vMDKf40t33NbOtCQqBnQvcTjBz1yvuPiTscni1kuOLgKHu7lW9BuXeW4I+/rJWs5ltV8XxxwGHEHxzutLM9q5i3/IeJyhy9hkwx93Xhd/s4v4OMbPmBNMZ9nT3FWZ2DVteT/kCX6VU8r6Y2c7ViL0yqe43yRJ19TQc2xFM5vyNmfUDflh+BzP7IfBfd78PmAT0IJi28SAzS/XZf8/Mdo/5mn8HBpvZ1uHX/iHA383sB8AGd59CUEU03Y3Ob8JvHuk8QdCFlPr2AEES/2XqGDPbvXxXQ5QH01JeAFxq383PkKpxfmpk13UEtf5TZgLnp7rJwq6r8v4F7FLZa4evvxZYY2YHh6tGAX+zYEKRDu7+CnB5GNc25Q4vH1PU3wjez1/w3YdidX+HqST/SXhvqPxIn+HheX5M0L22lnjvS03tDizMuJfEpsTfcEwFeprZAuCnBH3a5fUF3gm7JIYDE919NUEifMzM5hN0EewR5wXdfR7BaI23CCY/n+Tu/wT2Bt4Ku1yuBq5Lc/gfgPlmNjXNthcJui/+EvbDQ/BBtRiYFw4JvJcM32jDWOYT1LO/CbghvPboca8Ae4X3SoYTfDNoGsa2KFwuf971wJJUoq3Czwi6x+YTjB4aR3Cze0r4e/oncLu7f17uuMeB0Wb2TzPbtdxrf0two/eY8G+q+zsMX+8+gmQ7k6ALMGpj+D7dQ9ClBzHel6r6+C1NaeJwfVOCgQL5PK9CzlFZZpEEmNkQgm61CiN7JL7wfezh7r+p71gKiVr8Iglw92nA8vqOowA0AW6t7yAKjVr8IiINjFr8IiINjBK/iEgDo8QvItLAKPGLiDQwSvwiIg3M/wfMUuams75GwQAAAABJRU5ErkJggg==\n", 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\n", 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seasonmnthdayhrholidayweekdayworkingdayweathersittempatemphumwindspeedcasualregisteredbikers
11Jan10060clear0.240.28790.810.031316
21Jan11060clear0.220.27270.800.083240
31Jan12060clear0.220.27270.800.052732
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" + ], + "text/plain": [ + " season mnth day hr holiday weekday workingday weathersit temp atemp \\\n", + "1 1 Jan 1 0 0 6 0 clear 0.24 0.2879 \n", + "2 1 Jan 1 1 0 6 0 clear 0.22 0.2727 \n", + "3 1 Jan 1 2 0 6 0 clear 0.22 0.2727 \n", + "\n", + " hum windspeed casual registered bikers \n", + "1 0.81 0.0 3 13 16 \n", + "2 0.80 0.0 8 32 40 \n", + "3 0.80 0.0 5 27 32 " + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_bikeshare = pd.read_csv(\"Data/Bikeshare.csv\", index_col=0)\n", + "month_type = CategoricalDtype(\n", + " categories=[\"Jan\", \"Feb\", \"March\", \"April\", \"May\", \"June\", \"July\", \"Aug\", \"Sept\", \"Oct\", \"Nov\", \"Dec\"], ordered=True\n", + ")\n", + "hr_type = CategoricalDtype(categories=range(24), ordered=True)\n", + "df_bikeshare.mnth = df_bikeshare.mnth.astype(month_type)\n", + "df_bikeshare.hr = df_bikeshare.hr.astype(hr_type)\n", + "df_bikeshare.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecoefstd errtP>|t|[0.0250.975]clean_name
0Intercept73.59745.13214.3400.00063.53783.658Intercept
36weathersit[T.cloudy/misty]-12.89031.964-6.5620.000-16.741-9.040weathersit[T.cloudy/misty]
37weathersit[T.heavy rain/snow]-109.744676.667-1.4310.152-260.03140.542weathersit[T.heavy rain/snow]
38weathersit[T.light rain/snow]-66.49442.965-22.4250.000-72.307-60.682weathersit[T.light rain/snow]
40workingday1.26961.7840.7110.477-2.2284.768workingday
41temp157.209410.26115.3210.000137.095177.324temp
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" + ], + "text/plain": [ + " name coef std err t P>|t| \\\n", + "0 Intercept 73.5974 5.132 14.340 0.000 \n", + "36 weathersit[T.cloudy/misty] -12.8903 1.964 -6.562 0.000 \n", + "37 weathersit[T.heavy rain/snow] -109.7446 76.667 -1.431 0.152 \n", + "38 weathersit[T.light rain/snow] -66.4944 2.965 -22.425 0.000 \n", + "40 workingday 1.2696 1.784 0.711 0.477 \n", + "41 temp 157.2094 10.261 15.321 0.000 \n", + "\n", + " [0.025 0.975] clean_name \n", + "0 63.537 83.658 Intercept \n", + "36 -16.741 -9.040 weathersit[T.cloudy/misty] \n", + "37 -260.031 40.542 weathersit[T.heavy rain/snow] \n", + "38 -72.307 -60.682 weathersit[T.light rain/snow] \n", + "40 -2.228 4.768 workingday \n", + "41 137.095 177.324 temp " + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikeshare_ols = smf.ols(\"bikers ~ C(mnth, Sum) + C(hr, Sum) + workingday + temp + weathersit\", df_bikeshare).fit()\n", + "table = bikeshare_ols.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 16.256725\n", + " Iterations 9\n" + ] + }, + { + "data": { + "text/html": [ + "
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namecoefstd errzP>|z|[0.0250.975]clean_name
0Intercept4.11820.006683.9630.0004.1064.130Intercept
1C(weathersit)[T.cloudy/misty]-0.07520.002-34.5280.000-0.080-0.071C(weathersit)[T.cloudy/misty]
2C(weathersit)[T.heavy rain/snow]-0.92630.167-5.5540.000-1.253-0.599C(weathersit)[T.heavy rain/snow]
3C(weathersit)[T.light rain/snow]-0.57580.004-141.9050.000-0.584-0.568C(weathersit)[T.light rain/snow]
40workingday0.01470.0027.5020.0000.0110.018workingday
41temp0.78530.01168.4340.0000.7630.808temp
\n", + "
" + ], + "text/plain": [ + " name coef std err z P>|z| \\\n", + "0 Intercept 4.1182 0.006 683.963 0.000 \n", + "1 C(weathersit)[T.cloudy/misty] -0.0752 0.002 -34.528 0.000 \n", + "2 C(weathersit)[T.heavy rain/snow] -0.9263 0.167 -5.554 0.000 \n", + "3 C(weathersit)[T.light rain/snow] -0.5758 0.004 -141.905 0.000 \n", + "40 workingday 0.0147 0.002 7.502 0.000 \n", + "41 temp 0.7853 0.011 68.434 0.000 \n", + "\n", + " [0.025 0.975] clean_name \n", + "0 4.106 4.130 Intercept \n", + "1 -0.080 -0.071 C(weathersit)[T.cloudy/misty] \n", + "2 -1.253 -0.599 C(weathersit)[T.heavy rain/snow] \n", + "3 -0.584 -0.568 C(weathersit)[T.light rain/snow] \n", + "40 0.011 0.018 workingday \n", + "41 0.763 0.808 temp " + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikeshare_poisson = smf.poisson(\n", + " \"bikers ~ workingday + temp + C(weathersit) + C(mnth, Sum) + C(hr, Sum)\", df_bikeshare\n", + ").fit()\n", + "table = bikeshare_poisson.summary().tables[1]\n", + "df = pd.DataFrame(table.data[1:], columns=[\"name\", *table.data[0][1:]])\n", + "df[\"coef\"] = df[\"coef\"].astype(\"float\")\n", + "dec_row = pd.DataFrame(\n", + " [[\"C(mnth, Sum)[S.Dec]\", -df[df.name.str.contains(r\"C\\(mnth, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[14.5],\n", + " columns=df.columns,\n", + ")\n", + "hr_23_row = pd.DataFrame(\n", + " [[\"C(hr, Sum)[S.23]\", -df[df.name.str.contains(r\"C\\(hr, Sum\\)\")].coef.sum(), 0, 0, 0, 0, 0]],\n", + " index=[37.5],\n", + " columns=df.columns,\n", + ")\n", + "df = df.append(dec_row, ignore_index=False).append(hr_23_row, ignore_index=False).sort_index().reset_index(drop=True)\n", + "df[\"clean_name\"] = df[\"name\"].str.replace(r\"C\\(.*\\, Sum\\)\\[[T|S]\\.(.*)\\]\", r\"\\g<1>\", regex=True)\n", + "df[~df.name.str.contains(r\"C\\(mnth, Sum\\)\") & ~df.name.str.contains(r\"C\\(hr, Sum\\)\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(ncols=1, figsize=(12, 8))\n", + "ax.plot(bikeshare_ols.predict(), color=\"lightblue\", label=\"OLS\")\n", + "ax.plot(bikeshare_poisson.predict(), color=\"orange\", label=\"Poisson\", alpha=0.5)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": { + "013d5d7b1aa446d190005ec1533089c0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "04d85ef6d6bf40b5bc00c8405e54764b": { + "model_module": "@jupyter-widgets/output", + "model_module_version": "1.0.0", + "model_name": "OutputModel", + "state": { + "layout": "IPY_MODEL_2c8bb972c2e5454bbe1cc7b674889caa", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": "Bayes accuracy: 93.4 82.2\nLDA accuracy: 94.0 81.6\n" + }, + { + "data": { + "image/png": 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\n", 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07_Moving_Beyond_Linearity.ipynb diff --git a/Chapter8_Tree_Based_Methods.ipynb b/08_Tree_Based_Methods.ipynb similarity index 100% rename from Chapter8_Tree_Based_Methods.ipynb rename to 08_Tree_Based_Methods.ipynb diff --git a/Chapter9_Support_Vector_Machines.ipynb b/09_Support_Vector_Machines.ipynb similarity index 100% rename from Chapter9_Support_Vector_Machines.ipynb rename to 09_Support_Vector_Machines.ipynb diff --git a/Chapter10_Unsupervised_Learning.ipynb b/12_Unsupervised_Learning.ipynb similarity index 100% rename from Chapter10_Unsupervised_Learning.ipynb rename to 12_Unsupervised_Learning.ipynb diff --git a/Chapter3_Linear_regression.ipynb b/Chapter3_Linear_regression.ipynb deleted file mode 100644 index 9d46ae0..0000000 --- a/Chapter3_Linear_regression.ipynb +++ /dev/null @@ -1,933 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from plot_lm import plot_lm\n", - "\n", - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import axes3d\n", - "import seaborn as sns\n", - "\n", - "from sklearn.preprocessing import scale\n", - "import sklearn.linear_model as skl_lm\n", - "from sklearn.metrics import mean_squared_error, r2_score\n", - "import statsmodels.api as sm\n", - "import statsmodels.formula.api as smf" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "plt.style.use('seaborn-white')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Load Datasets" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 200 entries, 0 to 199\n", - "Data columns (total 4 columns):\n", - "TV 200 non-null float64\n", - "Radio 200 non-null float64\n", - "Newspaper 200 non-null float64\n", - "Sales 200 non-null float64\n", - "dtypes: float64(4)\n", - "memory usage: 6.3 KB\n" - ] - } - ], - "source": [ - "advertising = pd.read_csv('Data/Advertising.csv', usecols=[1,2,3,4])\n", - "advertising.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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IncomeLimitRatingCardsAgeEducationGenderStudentMarriedEthnicityBalanceStudent2
014.891360628323411MaleNoYesCaucasian3330
1106.025664548338215FemaleYesYesAsian9031
2104.593707551447111MaleNoNoAsian5800
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" - ], - "text/plain": [ - " Income Limit Rating Cards Age Education Gender Student Married \\\n", - "0 14.891 3606 283 2 34 11 Male No Yes \n", - "1 106.025 6645 483 3 82 15 Female Yes Yes \n", - "2 104.593 7075 514 4 71 11 Male No No \n", - "\n", - " Ethnicity Balance Student2 \n", - "0 Caucasian 333 0 \n", - "1 Asian 903 1 \n", - "2 Asian 580 0 " - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "credit = pd.read_csv('Data/Credit.csv', usecols=list(range(1,12)))\n", - "credit['Student2'] = credit.Student.map({'No':0, 'Yes':1})\n", - "credit.head(3)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Int64Index: 392 entries, 0 to 396\n", - "Data columns (total 9 columns):\n", - "mpg 392 non-null float64\n", - "cylinders 392 non-null int64\n", - "displacement 392 non-null float64\n", - "horsepower 392 non-null float64\n", - "weight 392 non-null int64\n", - "acceleration 392 non-null float64\n", - "year 392 non-null int64\n", - "origin 392 non-null int64\n", - "name 392 non-null object\n", - "dtypes: float64(4), int64(4), object(1)\n", - "memory usage: 30.6+ KB\n" - ] - } - ], - "source": [ - "auto = pd.read_csv('Data/Auto.csv', na_values='?').dropna()\n", - "auto.info()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Sales dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
coef std err t P>|t| [0.025 0.975]
Intercept 7.0326 0.458 15.360 0.000 6.130 7.935
TV 0.0475 0.003 17.668 0.000 0.042 0.053
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('Sales ~ TV', advertising).fit()\n", - "est.summary().tables[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
coef std err t P>|t| [0.025 0.975]
Intercept 9.3116 0.563 16.542 0.000 8.202 10.422
Radio 0.2025 0.020 9.921 0.000 0.162 0.243
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('Sales ~ Radio', advertising).fit()\n", - "est.summary().tables[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
coef std err t P>|t| [0.025 0.975]
Intercept 12.3514 0.621 19.876 0.000 11.126 13.577
Newspaper 0.0547 0.017 3.300 0.001 0.022 0.087
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('Sales ~ Newspaper', advertising).fit()\n", - "est.summary().tables[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
OLS Regression Results
Dep. Variable: Sales R-squared: 0.897
Model: OLS Adj. R-squared: 0.896
Method: Least Squares F-statistic: 570.3
Date: Sat, 26 May 2018 Prob (F-statistic): 1.58e-96
Time: 14:29:40 Log-Likelihood: -386.18
No. Observations: 200 AIC: 780.4
Df Residuals: 196 BIC: 793.6
Df Model: 3
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 2.9389 0.312 9.422 0.000 2.324 3.554
TV 0.0458 0.001 32.809 0.000 0.043 0.049
Radio 0.1885 0.009 21.893 0.000 0.172 0.206
Newspaper -0.0010 0.006 -0.177 0.860 -0.013 0.011
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Omnibus: 60.414 Durbin-Watson: 2.084
Prob(Omnibus): 0.000 Jarque-Bera (JB): 151.241
Skew: -1.327 Prob(JB): 1.44e-33
Kurtosis: 6.332 Cond. No. 454.


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." - ], - "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: Sales R-squared: 0.897\n", - "Model: OLS Adj. R-squared: 0.896\n", - "Method: Least Squares F-statistic: 570.3\n", - "Date: Sat, 26 May 2018 Prob (F-statistic): 1.58e-96\n", - "Time: 14:29:40 Log-Likelihood: -386.18\n", - "No. Observations: 200 AIC: 780.4\n", - "Df Residuals: 196 BIC: 793.6\n", - "Df Model: 3 \n", - "Covariance Type: nonrobust \n", - "==============================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "------------------------------------------------------------------------------\n", - "Intercept 2.9389 0.312 9.422 0.000 2.324 3.554\n", - "TV 0.0458 0.001 32.809 0.000 0.043 0.049\n", - "Radio 0.1885 0.009 21.893 0.000 0.172 0.206\n", - "Newspaper -0.0010 0.006 -0.177 0.860 -0.013 0.011\n", - "==============================================================================\n", - "Omnibus: 60.414 Durbin-Watson: 2.084\n", - "Prob(Omnibus): 0.000 Jarque-Bera (JB): 151.241\n", - "Skew: -1.327 Prob(JB): 1.44e-33\n", - "Kurtosis: 6.332 Cond. No. 454.\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "\"\"\"" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('Sales ~ TV + Radio + Newspaper', advertising).fit()\n", - "est.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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TVRadioNewspaperSales
TV1.0000000.0548090.0566480.782224
Radio0.0548091.0000000.3541040.576223
Newspaper0.0566480.3541041.0000000.228299
Sales0.7822240.5762230.2282991.000000
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" - ], - "text/plain": [ - " TV Radio Newspaper Sales\n", - "TV 1.000000 0.054809 0.056648 0.782224\n", - "Radio 0.054809 1.000000 0.354104 0.576223\n", - "Newspaper 0.056648 0.354104 1.000000 0.228299\n", - "Sales 0.782224 0.576223 0.228299 1.000000" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "advertising.corr()" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
OLS Regression Results
Dep. Variable: Sales R-squared: 0.968
Model: OLS Adj. R-squared: 0.967
Method: Least Squares F-statistic: 1963.
Date: Sat, 26 May 2018 Prob (F-statistic): 6.68e-146
Time: 14:29:40 Log-Likelihood: -270.14
No. Observations: 200 AIC: 548.3
Df Residuals: 196 BIC: 561.5
Df Model: 3
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 6.7502 0.248 27.233 0.000 6.261 7.239
TV 0.0191 0.002 12.699 0.000 0.016 0.022
Radio 0.0289 0.009 3.241 0.001 0.011 0.046
TV:Radio 0.0011 5.24e-05 20.727 0.000 0.001 0.001
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Omnibus: 128.132 Durbin-Watson: 2.224
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1183.719
Skew: -2.323 Prob(JB): 9.09e-258
Kurtosis: 13.975 Cond. No. 1.80e+04


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.8e+04. This might indicate that there are
strong multicollinearity or other numerical problems." - ], - "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: Sales R-squared: 0.968\n", - "Model: OLS Adj. R-squared: 0.967\n", - "Method: Least Squares F-statistic: 1963.\n", - "Date: Sat, 26 May 2018 Prob (F-statistic): 6.68e-146\n", - "Time: 14:29:40 Log-Likelihood: -270.14\n", - "No. Observations: 200 AIC: 548.3\n", - "Df Residuals: 196 BIC: 561.5\n", - "Df Model: 3 \n", - "Covariance Type: nonrobust \n", - "==============================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "------------------------------------------------------------------------------\n", - "Intercept 6.7502 0.248 27.233 0.000 6.261 7.239\n", - "TV 0.0191 0.002 12.699 0.000 0.016 0.022\n", - "Radio 0.0289 0.009 3.241 0.001 0.011 0.046\n", - "TV:Radio 0.0011 5.24e-05 20.727 0.000 0.001 0.001\n", - "==============================================================================\n", - "Omnibus: 128.132 Durbin-Watson: 2.224\n", - "Prob(Omnibus): 0.000 Jarque-Bera (JB): 1183.719\n", - "Skew: -2.323 Prob(JB): 9.09e-258\n", - "Kurtosis: 13.975 Cond. No. 1.80e+04\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "[2] The condition number is large, 1.8e+04. This might indicate that there are\n", - "strong multicollinearity or other numerical problems.\n", - "\"\"\"" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('Sales ~ TV + Radio + TV*Radio', advertising).fit()\n", - "est.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Using scikit-learn" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[2.9388893694594085, 0.045764645455397615, 0.18853001691820456, -0.0010374930424763272]\n" - ] - } - ], - "source": [ - "regr = skl_lm.LinearRegression()\n", - "\n", - "X = advertising[['TV', 'Radio', 'Newspaper']].values\n", - "y = advertising.Sales\n", - "\n", - "regr.fit(X,y)\n", - "print([regr.intercept_, *regr.coef_])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Credit dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.pairplot(credit[['Balance','Age','Cards','Education','Income','Limit','Rating']]);" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Regression 1 - without interaction term\n", - "Intercept 211.142964\n", - "C(Student)[T.Yes] 382.670539\n", - "Income 5.984336\n", - "dtype: float64\n", - "\n", - "Regression 2 - with interaction term\n", - "Intercept 200.623153\n", - "C(Student)[T.Yes] 476.675843\n", - "Income 6.218169\n", - "Income:C(Student)[T.Yes] -1.999151\n", - "dtype: float64\n" - ] - } - ], - "source": [ - "est1 = smf.ols('Balance ~ Income + C(Student)', credit).fit()\n", - "regr1 = est1.params\n", - "est2 = smf.ols('Balance ~ Income + Income*C(Student)', credit).fit()\n", - "regr2 = est2.params\n", - "\n", - "print('Regression 1 - without interaction term')\n", - "print(regr1)\n", - "print('\\nRegression 2 - with interaction term')\n", - "print(regr2)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Change in AIC: 0.655361215896\n" - ] - } - ], - "source": [ - "print('Change in AIC: ', est2.aic-est1.aic)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Auto dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(auto.horsepower, auto.mpg, facecolors='None', edgecolors='k', alpha=.5) \n", - "sns.regplot(auto.horsepower, auto.mpg, ci=100, label='Linear', scatter=False, color='orange')\n", - "sns.regplot(auto.horsepower, auto.mpg, ci=100, label='Degree 2', order=2, scatter=False, color='lightblue')\n", - "sns.regplot(auto.horsepower, auto.mpg, ci=100, label='Degree 5', order=5, scatter=False, color='g')\n", - "plt.legend()\n", - "plt.ylim(5,55)\n", - "plt.xlim(40,240);" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
OLS Regression Results
Dep. Variable: mpg R-squared: 0.688
Model: OLS Adj. R-squared: 0.686
Method: Least Squares F-statistic: 428.0
Date: Sat, 26 May 2018 Prob (F-statistic): 5.40e-99
Time: 14:29:45 Log-Likelihood: -1133.2
No. Observations: 392 AIC: 2272.
Df Residuals: 389 BIC: 2284.
Df Model: 2
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
Intercept 56.9001 1.800 31.604 0.000 53.360 60.440
horsepower -0.4662 0.031 -14.978 0.000 -0.527 -0.405
np.power(horsepower, 2) 0.0012 0.000 10.080 0.000 0.001 0.001
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Omnibus: 16.158 Durbin-Watson: 1.078
Prob(Omnibus): 0.000 Jarque-Bera (JB): 30.662
Skew: 0.218 Prob(JB): 2.20e-07
Kurtosis: 4.299 Cond. No. 1.29e+05


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.29e+05. This might indicate that there are
strong multicollinearity or other numerical problems." - ], - "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: mpg R-squared: 0.688\n", - "Model: OLS Adj. R-squared: 0.686\n", - "Method: Least Squares F-statistic: 428.0\n", - "Date: Sat, 26 May 2018 Prob (F-statistic): 5.40e-99\n", - "Time: 14:29:45 Log-Likelihood: -1133.2\n", - "No. Observations: 392 AIC: 2272.\n", - "Df Residuals: 389 BIC: 2284.\n", - "Df Model: 2 \n", - "Covariance Type: nonrobust \n", - "===========================================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "-------------------------------------------------------------------------------------------\n", - "Intercept 56.9001 1.800 31.604 0.000 53.360 60.440\n", - "horsepower -0.4662 0.031 -14.978 0.000 -0.527 -0.405\n", - "np.power(horsepower, 2) 0.0012 0.000 10.080 0.000 0.001 0.001\n", - "==============================================================================\n", - "Omnibus: 16.158 Durbin-Watson: 1.078\n", - "Prob(Omnibus): 0.000 Jarque-Bera (JB): 30.662\n", - "Skew: 0.218 Prob(JB): 2.20e-07\n", - "Kurtosis: 4.299 Cond. No. 1.29e+05\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "[2] The condition number is large, 1.29e+05. This might indicate that there are\n", - "strong multicollinearity or other numerical problems.\n", - "\"\"\"" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est = smf.ols('mpg ~ horsepower + np.power(horsepower, 2)', auto).fit()\n", - "est.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_lm(est, auto, 'mpg')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Chapter4_classification.ipynb b/Chapter4_classification.ipynb deleted file mode 100644 index b7c2f6a..0000000 --- a/Chapter4_classification.ipynb +++ /dev/null @@ -1,2665 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chapter 4 - Classification" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[4.1 An Overview of Classification](#4.1-An-Overview-of-Classification)\n", - "\n", - "[4.3 Logistic regression](#4.3-Logistic-regression)\n", - "\n", - "[4.4 Linear Discriminant Analysis](#4.4-Linear-Discriminant-Analysis)\n", - "> [4.4.4 Quadratic Discriminant Analysis](#4.4.4-Quadratic-Discriminant-Analysis)\n", - "\n", - "[4.5 A Comparison of Classification Methods](#4.5-A-Comparison-of-Classification-Methods)\n", - "\n", - "[4.6 Lab: Logistic Regression, LDA, QDA, and KNN](#4.6-Lab:-Logistic-Regression,-LDA,-QDA,-and-KNN)\n", - "> [4.6.1 The Stock Market Data](#4.6.1-The-Stock-Market-Data)
\n", - "> [4.6.2 Logistic regression](#4.6.2-Logistic-regression)
\n", - "> [4.6.3 Linear Discriminant Analysis (LDA)](#4.6.3-Linear-Discriminant-Analysis-%28LDA%29)
\n", - "> [4.6.4 Quadratic Discriminant Analysis (QDA)](#4.6.4-Quadratic-Discriminant-Analysis-%28QDA%29)
\n", - "> [4.6.5 K-Nearest Neighbors](#4.6.5-K-Nearest-Neighbors)
\n", - "> [4.6.6 An Application to Caravan Insurance Data](#4.6.6-An-Application-to-Caravan-Insurance-Data)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib as mpl\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import sklearn.linear_model as skl_lm\n", - "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis\n", - "from sklearn.metrics import confusion_matrix, classification_report, precision_score, roc_curve, auc, log_loss\n", - "from sklearn import preprocessing\n", - "from sklearn import neighbors\n", - "\n", - "from scipy import stats\n", - "\n", - "import scikitplot as skplt\n", - "\n", - "import statsmodels.api as sm\n", - "import statsmodels.formula.api as smf\n", - "\n", - "from ipywidgets import widgets\n", - "\n", - "from classification_helper import print_classification_statistics, plot_ROC, print_OLS_error_table, plot_classification\n", - "\n", - "%matplotlib inline\n", - "plt.style.use('seaborn-white')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4.1 An Overview of Classification" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load data" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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defaultstudentbalanceincomedefault2student2
1NoNo729.52649544361.62507400
2NoYes817.18040712106.13470001
3NoNo1073.54916431767.13894700
\n", - "
" - ], - "text/plain": [ - " default student balance income default2 student2\n", - "1 No No 729.526495 44361.625074 0 0\n", - "2 No Yes 817.180407 12106.134700 0 1\n", - "3 No No 1073.549164 31767.138947 0 0" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# In R, I exported the dataset from package 'ISLR' to an Excel file\n", - "df_default = pd.read_excel('Data/Default.xlsx')\n", - "\n", - "# Note: factorize() returns two objects: a label array and an array with the unique values.\n", - "# We are only interested in the first object. \n", - "df_default['default2'] = df_default.default.factorize()[0]\n", - "df_default['student2'] = df_default.student.factorize()[0]\n", - "df_default.head(3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot data" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12,5))\n", - "gs = mpl.gridspec.GridSpec(1, 4)\n", - "ax1 = plt.subplot(gs[0,:-2])\n", - "ax2 = plt.subplot(gs[0,-2])\n", - "ax3 = plt.subplot(gs[0,-1])\n", - "\n", - "# Take a fraction of the samples where target value (default) is 'no'\n", - "df_no = df_default[df_default.default2 == 0].sample(frac=.08)\n", - "# Take all samples where target value is 'yes'\n", - "df_yes = df_default[df_default.default2 == 1]\n", - "\n", - "ax1.scatter(df_yes.balance, df_yes.income, s=40, c='orange', marker='+', linewidths=1)\n", - "ax1.scatter(df_no.balance, df_no.income, s=40, marker='o', linewidths='1',\n", - " edgecolors='lightblue', facecolors='white', alpha=.6)\n", - "\n", - "ax1.set_ylim(ymin=0)\n", - "ax1.set_ylabel('Income')\n", - "ax1.set_xlim(xmin=-100)\n", - "ax1.set_xlabel('Balance')\n", - "\n", - "c_palette = {'No':'lightblue', 'Yes':'orange'}\n", - "sns.boxplot('default', 'balance', data=df_default, orient='v', ax=ax2, palette=c_palette)\n", - "sns.boxplot('default', 'income', data=df_default, orient='v', ax=ax3, palette=c_palette)\n", - "gs.tight_layout(plt.gcf())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4.3 Logistic regression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### scikit-learn" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n", - " intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n", - " penalty='l2', random_state=None, solver='newton-cg', tol=0.0001,\n", - " verbose=0, warm_start=False)\n", - "classes: [0 1]\n", - "coefficients: [-10.651330005794106, 0.0054989165568046445]\n" - ] - }, - { - "data": { - "image/png": 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Coef.Std.Err.zP>|z|[0.0250.975]
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" - ], - "text/plain": [ - " Coef. Std.Err. z P>|z| [0.025 0.975]\n", - "const -10.651331 0.361169 -29.491287 3.723665e-191 -11.359208 -9.943453\n", - "balance 0.005499 0.000220 24.952404 2.010855e-137 0.005067 0.005931" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train = sm.add_constant(df_default.balance)\n", - "y = df_default.default2\n", - "est = smf.Logit(y.ravel(), X_train).fit()\n", - "est.summary2().tables[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimization terminated successfully.\n", - " Current function value: 0.145434\n", - " Iterations 7\n" - ] - }, - { - "data": { - "text/html": [ - "
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Coef.Std.Err.zP>|z|[0.0250.975]
const-3.5041280.070713-49.5540940.000000-3.642723-3.365532
student20.4048870.1150193.5201770.0004310.1794540.630320
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" - ], - "text/plain": [ - " Coef. Std.Err. z P>|z| [0.025 0.975]\n", - "const -3.504128 0.070713 -49.554094 0.000000 -3.642723 -3.365532\n", - "student2 0.404887 0.115019 3.520177 0.000431 0.179454 0.630320" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train = sm.add_constant(df_default.student2)\n", - "y = df_default.default2\n", - "est = smf.Logit(y, X_train).fit()\n", - "est.summary2().tables[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimization terminated successfully.\n", - " Current function value: 0.078577\n", - " Iterations 10\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
Model: Logit Pseudo R-squared: 0.462
Dependent Variable: default2 AIC: 1579.5448
Date: 2018-06-23 13:11 BIC: 1608.3862
No. Observations: 10000 Log-Likelihood: -785.77
Df Model: 3 LL-Null: -1460.3
Df Residuals: 9996 LLR p-value: 3.2575e-292
Converged: 1.0000 Scale: 1.0000
No. Iterations: 10.0000
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Coef. Std.Err. z P>|z| [0.025 0.975]
const -10.8690 0.4923 -22.0793 0.0000 -11.8339 -9.9042
balance 0.0057 0.0002 24.7365 0.0000 0.0053 0.0062
income 0.0000 0.0000 0.3698 0.7115 -0.0000 0.0000
student2 -0.6468 0.2363 -2.7376 0.0062 -1.1098 -0.1837
" - ], - "text/plain": [ - "\n", - "\"\"\"\n", - " Results: Logit\n", - "==================================================================\n", - "Model: Logit Pseudo R-squared: 0.462 \n", - "Dependent Variable: default2 AIC: 1579.5448 \n", - "Date: 2018-06-23 13:11 BIC: 1608.3862 \n", - "No. Observations: 10000 Log-Likelihood: -785.77 \n", - "Df Model: 3 LL-Null: -1460.3 \n", - "Df Residuals: 9996 LLR p-value: 3.2575e-292\n", - "Converged: 1.0000 Scale: 1.0000 \n", - "No. Iterations: 10.0000 \n", - "-------------------------------------------------------------------\n", - " Coef. Std.Err. z P>|z| [0.025 0.975]\n", - "-------------------------------------------------------------------\n", - "const -10.8690 0.4923 -22.0793 0.0000 -11.8339 -9.9042\n", - "balance 0.0057 0.0002 24.7365 0.0000 0.0053 0.0062\n", - "income 0.0000 0.0000 0.3698 0.7115 -0.0000 0.0000\n", - "student2 -0.6468 0.2363 -2.7376 0.0062 -1.1098 -0.1837\n", - "==================================================================\n", - "\n", - "\"\"\"" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train = sm.add_constant(df_default[['balance', 'income', 'student2']])\n", - "est = smf.Logit(y, X_train).fit()\n", - "est.summary2()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4.4 Linear Discriminant Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "def generate_LDA(mean1=-2, mean2=1, mean3=2, sigma1=0.5, sigma2=0.5):\n", - " mean1 = mean1*np.array([1, 1])\n", - " mean2 = mean2*np.array([1, 1])\n", - " mean3 = mean3*np.array([1, -1])\n", - " cov = np.array([[sigma1, 0], [0, sigma2]])\n", - " N = 500\n", - " K = 3\n", - " # if you sample from a t-distribution, the LDA results are really bad\n", - " def multivariate_t(means, S, N):\n", - " df = 1\n", - " m = np.asarray(means)\n", - " d = len(means)\n", - " x = np.random.chisquare(df, N[0])/df\n", - " z = np.random.multivariate_normal(np.zeros(d), S, N)\n", - " return m + z/np.sqrt(x)[:,None]\n", - " sample1 = np.random.multivariate_normal(mean1, cov, (N,)) \n", - " sample2 = np.random.multivariate_normal(mean2, cov, (N,)) \n", - " sample3 = np.random.multivariate_normal(mean3, cov, (N,))\n", - " \n", - " maxX = np.max([sample1[:,0], sample2[:,0], sample3[:,0]])\n", - " minX = np.min([sample1[:,0], sample2[:,0], sample3[:,0]])\n", - " maxY = np.max([sample1[:,1], sample2[:,1], sample3[:,1]])\n", - " minY = np.min([sample1[:,1], sample2[:,1], sample3[:,1]])\n", - "\n", - " # priors\n", - " pi1 = pi2 = pi3 = N/K\n", - "\n", - " # grid of points to plot the bayes and LDA regions/lines\n", - " N_points_grid = 200\n", - " xx, yy = np.meshgrid(np.linspace(minX, maxX, N_points_grid), np.linspace(minY, maxY, N_points_grid))\n", - " X = np.c_[xx.ravel(), yy.ravel()]\n", - "\n", - " # Bayes regions\n", - " inv_cov = np.linalg.inv(cov)\n", - " delta1_fun = lambda X: np.dot(X, np.dot(inv_cov, mean1)) - 1/2*np.dot(mean1.T, np.dot(inv_cov, mean1)) + np.log(pi1)\n", - " delta2_fun = lambda X: np.dot(X, np.dot(inv_cov, mean2)) - 1/2*np.dot(mean2.T, np.dot(inv_cov, mean2)) + np.log(pi2)\n", - " delta3_fun = lambda X: np.dot(X, np.dot(inv_cov, mean3)) - 1/2*np.dot(mean3.T, np.dot(inv_cov, mean3)) + np.log(pi3)\n", - " region1 = np.logical_and(delta1_fun(X) > delta2_fun(X), delta1_fun(X) > delta3_fun(X))\n", - " region2 = np.logical_and(delta2_fun(X) > delta1_fun(X), delta2_fun(X) > delta3_fun(X))\n", - " region3 = np.logical_and(delta3_fun(X) > delta1_fun(X), delta3_fun(X) > delta2_fun(X))\n", - "\n", - " # LDA prediction\n", - " est_mean1 = 1/N*np.sum(sample1, axis=0)\n", - " est_mean2 = 1/N*np.sum(sample2, axis=0)\n", - " est_mean3 = 1/N*np.sum(sample3, axis=0)\n", - " est_cov = (np.cov(sample1, rowvar=False) + np.cov(sample2, rowvar=False) + np.cov(sample3, rowvar=False))/K\n", - " inv_est_cov = np.linalg.inv(est_cov)\n", - " est_delta1_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean1)) - 1/2*np.dot(est_mean1.T, np.dot(inv_est_cov, est_mean1)) + np.log(pi1)\n", - " est_delta2_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean2)) - 1/2*np.dot(est_mean2.T, np.dot(inv_est_cov, est_mean2)) + np.log(pi2)\n", - " est_delta3_fun = lambda X: np.dot(X, np.dot(inv_est_cov, est_mean3)) - 1/2*np.dot(est_mean3.T, np.dot(inv_est_cov, est_mean3)) + np.log(pi3)\n", - " est_region1 = np.logical_and(est_delta1_fun(X) > est_delta2_fun(X), est_delta1_fun(X) > est_delta3_fun(X))\n", - " est_region3 = np.logical_and(est_delta3_fun(X) > est_delta2_fun(X), est_delta3_fun(X) > est_delta1_fun(X))\n", - "\n", - " ### Plot Bayes regions and LDA lines\n", - " fig = plt.figure(figsize=(8,8))\n", - " ax = plt.subplot(1,1,1)\n", - "\n", - " # Bayes regions\n", - " plt.contourf(xx, yy, region1.reshape(xx.shape), alpha=0.5, colors='g', levels=[0.5, 1.0])\n", - " plt.contourf(xx, yy, region2.reshape(xx.shape), alpha=0.5, colors='orange', levels=[0.5, 1.0])\n", - " plt.contourf(xx, yy, region3.reshape(xx.shape), alpha=0.5, colors='b', levels=[0.5, 1.0])\n", - "\n", - " # Samples\n", - " ax.scatter(sample1[:,0], sample1[:,1], s=20, c='green', marker='o', label='1')\n", - " ax.scatter(sample2[:,0], sample2[:,1], s=20, c='orange', marker='o', label='2')\n", - " ax.scatter(sample3[:,0], sample3[:,1], s=20, c='blue', marker='o', label='3')\n", - " ax.set_xlabel('X1');\n", - " ax.set_ylabel('X2');\n", - "\n", - " # LDA lines\n", - " plt.contour(xx, yy, est_region1.reshape(xx.shape), alpha=0.5, colors='k')\n", - " plt.contour(xx, yy, est_region3.reshape(xx.shape), alpha=0.5, colors='k');\n", - " \n", - " # statistics\n", - " pred_green = sum([np.logical_and(delta1_fun(x) > delta2_fun(x), delta1_fun(x) > delta3_fun(x)) for x in sample1])/N*100\n", - " pred_orange = sum([np.logical_and(delta2_fun(x) > delta1_fun(x), delta2_fun(x) > delta3_fun(x)) for x in sample2])/N*100\n", - " pred_blue = sum([np.logical_and(delta3_fun(x) > delta2_fun(x), delta3_fun(x) > delta1_fun(x)) for x in sample3])/N*100\n", - " print('Bayes accuracy: ', np.round(pred_green, 1), np.round(pred_orange, 1), np.round(pred_blue, 1))\n", - " est_pred_green = sum([np.logical_and(est_delta1_fun(x) > est_delta2_fun(x), est_delta1_fun(x) > est_delta3_fun(x)) for x in sample1])/N*100\n", - " est_pred_orange = sum([np.logical_and(est_delta2_fun(x) > est_delta1_fun(x), est_delta2_fun(x) > est_delta3_fun(x)) for x in sample2])/N*100\n", - " est_pred_blue = sum([np.logical_and(est_delta3_fun(x) > est_delta2_fun(x), est_delta3_fun(x) > est_delta1_fun(x)) for x in sample3])/N*100\n", - " print('LDA accuracy: ', np.round(est_pred_green, 1), np.round(est_pred_orange, 1), np.round(est_pred_blue, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a68581678eee484bbd7bff34f6b73a4b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=-2.0, description='mean1', max=2.0, min=-2.0, step=0.5), FloatSlider(v…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "interactive_plot = widgets.interactive(generate_LDA, \n", - " mean1=(-2,2,0.5), mean2=(-2,2,0.5), mean3=(-2,2,0.5),\n", - " sigma1=(0.1,5,0.1), sigma2=(0.1,5,0.1),\n", - " continuous_update=False);\n", - "output = interactive_plot.children[-1]\n", - "output.layout.height = '15cm'\n", - "interactive_plot" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Default dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,\n", - " solver='svd', store_covariance=False, tol=0.0001)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X = df_default[['balance', 'income', 'student2']].values\n", - "y = df_default.default2.values\n", - "\n", - "lda = LinearDiscriminantAnalysis(solver='svd')\n", - "lda.fit(X, y)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.974 0.998 0.986 9667\n", - " Up 0.782 0.237 0.364 333\n", - "\n", - "avg / total 0.968 0.972 0.965 10000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.997724 0.002276\n", - " False 0.762763 0.237237\n", - "\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print_classification_statistics(lda, X, y, labels=['Down', 'Up'])\n", - "plot_ROC(lda, X, y, label='LDA Classification')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4.4.4 Quadratic Discriminant Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_QDA(mean1=-2, mean2=1, sigma1=1, sigma2=0.5):\n", - " mean1 = mean1*np.array([1, 1])\n", - " mean2 = mean2*np.array([1, 1])\n", - " cov1 = np.array([[sigma1, 0], [0, sigma1]])\n", - " cov2 = np.array([[sigma2, 0], [0, sigma2]])\n", - " inv_cov1 = np.linalg.inv(cov1)\n", - " inv_cov2 = np.linalg.inv(cov2)\n", - "\n", - " N = 500\n", - " K = 2\n", - " sample1 = np.random.multivariate_normal(mean1, cov1, (N,)) \n", - " sample2 = np.random.multivariate_normal(mean2, cov2, (N,)) \n", - " maxX = np.max([sample1[:,0], sample2[:,0]])\n", - " minX = np.min([sample1[:,0], sample2[:,0]])\n", - " maxY = np.max([sample1[:,1], sample2[:,1]])\n", - " minY = np.min([sample1[:,1], sample2[:,1]])\n", - "\n", - " pi1 = pi2 = N/K\n", - "\n", - " # grid of points to plot the bayes and LDA regions/lines\n", - " N_points_grid = 150\n", - " xx, yy = np.meshgrid(np.linspace(minX, maxX, N_points_grid), np.linspace(minY, maxY, N_points_grid))\n", - " X = np.c_[xx.ravel(), yy.ravel()]\n", - "\n", - " delta1_fun = lambda Xin: -1/2*((Xin-mean1).dot(inv_cov1)*(Xin-mean1)).sum(axis=1) + np.log(pi1)\n", - " delta2_fun = lambda Xin: -1/2*((Xin-mean2).dot(inv_cov2)*(Xin-mean2)).sum(axis=1) + np.log(pi2)\n", - " region1 = delta1_fun(X) > delta2_fun(X)\n", - " region2 = delta2_fun(X) > delta1_fun(X)\n", - "\n", - " # prediction\n", - " est_mean1 = 1/N*np.sum(sample1, axis=0)\n", - " est_mean2 = 1/N*np.sum(sample2, axis=0)\n", - " est_cov1 = np.cov(sample1, rowvar=False) \n", - " est_cov2 = np.cov(sample2, rowvar=False)\n", - " inv_est_cov1 = np.linalg.inv(est_cov1)\n", - " inv_est_cov2 = np.linalg.inv(est_cov2)\n", - " est_delta1_fun = lambda Xin: -1/2*((Xin-est_mean1).dot(inv_est_cov1)*(Xin-est_mean1)).sum(axis=1) + np.log(pi1)\n", - " est_delta2_fun = lambda Xin: -1/2*((Xin-est_mean2).dot(inv_est_cov2)*(Xin-est_mean2)).sum(axis=1) + np.log(pi2)\n", - " est_region1 = est_delta1_fun(X) > est_delta2_fun(X)\n", - "\n", - " fig = plt.figure(figsize=(8,8))\n", - " ax = plt.subplot(1,1,1)\n", - "\n", - " # Bayes regions\n", - " plt.contourf(xx, yy, region1.reshape(xx.shape), alpha=0.5, colors='g', levels=[0.5, 1.0])\n", - " plt.contourf(xx, yy, region2.reshape(xx.shape), alpha=0.5, colors='orange', levels=[0.5, 1.0])\n", - "\n", - " # Samples\n", - " ax.scatter(sample1[:,0], sample1[:,1], s=20, c='green', marker='o',)\n", - " ax.scatter(sample2[:,0], sample2[:,1], s=20, c='orange', marker='o',)\n", - " ax.set_xlabel('X1');\n", - " ax.set_ylabel('X2');\n", - "\n", - " # LDA lines\n", - " plt.contour(xx, yy, est_region1.reshape(xx.shape), alpha=0.5, colors='k');\n", - " \n", - " pred_green = sum(delta1_fun(sample1) > delta2_fun(sample1))/N*100\n", - " pred_orange = sum(delta2_fun(sample2) > delta1_fun(sample2))/N*100\n", - " print('Bayes accuracy: ', np.round(pred_green, 1), np.round(pred_orange, 1))\n", - " est_pred_green = sum(est_delta1_fun(sample1) > est_delta2_fun(sample1))/N*100\n", - " est_pred_orange = sum(est_delta2_fun(sample2) > est_delta1_fun(sample2))/N*100\n", - " print('LDA accuracy: ', np.round(est_pred_green, 1), np.round(est_pred_orange, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6e3ffe5ce9b04013a5b8426437b0f6a5", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=-2.0, description='mean1', max=2.0, min=-2.0, step=0.5), FloatSlider(v…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "interactive_plot = widgets.interactive(plot_QDA, \n", - " mean1=(-2,2,0.5), mean2=(-2,2,0.5),\n", - " sigma1=(0.1,5,0.1), sigma2=(0.1,5,0.1),\n", - " continuous_update=False);\n", - "output = interactive_plot.children[-1]\n", - "output.layout.height = '15cm'\n", - "interactive_plot" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4.5 A Comparison of Classification Methods" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compare Logistic regression, LDA, QDA and KNN under different conditions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4.6 Lab: Logistic Regression, LDA, QDA, and KNN" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 4.6.1 The Stock Market Data" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " Lag1 Lag2 Lag3 Lag4 Lag5 Volume Today Direction\n", - "Year \n", - "2001-01-01 0.381 -0.192 -2.624 -1.055 5.010 1.1913 0.959 1\n", - "2001-01-01 0.959 0.381 -0.192 -2.624 -1.055 1.2965 1.032 1\n", - "2001-01-01 1.032 0.959 0.381 -0.192 -2.624 1.4112 -0.623 0\n", - "2001-01-01 -0.623 1.032 0.959 0.381 -0.192 1.2760 0.614 1\n", - "2001-01-01 0.614 -0.623 1.032 0.959 0.381 1.2057 0.213 1" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_stock = pd.read_csv('Data/Smarket.csv', usecols=range(1,10), index_col=0, parse_dates=True)\n", - "# convert direction to binary. Up is 1, Down is 0\n", - "df_stock.replace({'Up': 1, 'Down': 0}, inplace=True)\n", - "df_stock.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Lag1Lag2Lag3Lag4Lag5VolumeTodayDirection
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mean0.0038340.0039190.0017160.0016360.005611.4783050.0031380.518400
std1.1362991.1362801.1387031.1387741.147550.3603571.1363340.499861
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75%0.5967500.5967500.5967500.5967500.597001.6416750.5967501.000000
max5.7330005.7330005.7330005.7330005.733003.1524705.7330001.000000
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" - ], - "text/plain": [ - " Lag1 Lag2 Lag3 Lag4 Lag5 \\\n", - "count 1250.000000 1250.000000 1250.000000 1250.000000 1250.00000 \n", - "mean 0.003834 0.003919 0.001716 0.001636 0.00561 \n", - "std 1.136299 1.136280 1.138703 1.138774 1.14755 \n", - "min -4.922000 -4.922000 -4.922000 -4.922000 -4.92200 \n", - "25% -0.639500 -0.639500 -0.640000 -0.640000 -0.64000 \n", - "50% 0.039000 0.039000 0.038500 0.038500 0.03850 \n", - "75% 0.596750 0.596750 0.596750 0.596750 0.59700 \n", - "max 5.733000 5.733000 5.733000 5.733000 5.73300 \n", - "\n", - " Volume Today Direction \n", - "count 1250.000000 1250.000000 1250.000000 \n", - "mean 1.478305 0.003138 0.518400 \n", - "std 0.360357 1.136334 0.499861 \n", - "min 0.356070 -4.922000 0.000000 \n", - "25% 1.257400 -0.639500 0.000000 \n", - "50% 1.422950 0.038500 1.000000 \n", - "75% 1.641675 0.596750 1.000000 \n", - "max 3.152470 5.733000 1.000000 " - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_stock.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Lag5-0.005675-0.003558-0.018808-0.0270841.000000-0.022002-0.0348600.005423
Volume0.040910-0.043383-0.041824-0.048414-0.0220021.0000000.0145920.022951
Today-0.026155-0.010250-0.002448-0.006900-0.0348600.0145921.0000000.730563
Direction-0.039757-0.0240810.0061320.0042150.0054230.0229510.7305631.000000
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" - ], - "text/plain": [ - " Lag1 Lag2 Lag3 Lag4 Lag5 Volume \\\n", - "Lag1 1.000000 -0.026294 -0.010803 -0.002986 -0.005675 0.040910 \n", - "Lag2 -0.026294 1.000000 -0.025897 -0.010854 -0.003558 -0.043383 \n", - "Lag3 -0.010803 -0.025897 1.000000 -0.024051 -0.018808 -0.041824 \n", - "Lag4 -0.002986 -0.010854 -0.024051 1.000000 -0.027084 -0.048414 \n", - "Lag5 -0.005675 -0.003558 -0.018808 -0.027084 1.000000 -0.022002 \n", - "Volume 0.040910 -0.043383 -0.041824 -0.048414 -0.022002 1.000000 \n", - "Today -0.026155 -0.010250 -0.002448 -0.006900 -0.034860 0.014592 \n", - "Direction -0.039757 -0.024081 0.006132 0.004215 0.005423 0.022951 \n", - "\n", - " Today Direction \n", - "Lag1 -0.026155 -0.039757 \n", - "Lag2 -0.010250 -0.024081 \n", - "Lag3 -0.002448 0.006132 \n", - "Lag4 -0.006900 0.004215 \n", - "Lag5 -0.034860 0.005423 \n", - "Volume 0.014592 0.022951 \n", - "Today 1.000000 0.730563 \n", - "Direction 0.730563 1.000000 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_stock.corr()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0.04090991, 0.04338321, 0.04182369, 0.04841425, 0.03486008,\n", - " 0.02295096, 0.7305629 , 0. ])" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# very small correlations (today and direction are obiously correlated)\n", - "corr = df_stock.corr().values\n", - "np.max(np.abs(np.triu(corr, k=1)), axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# volume increases with year\n", - "plot = sns.boxplot(df_stock.index, df_stock['Volume'],)\n", - "plot.set_xticklabels([str(date.year) for date in df_stock.index.unique()]);" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# volumne by year and direction\n", - "ax = sns.boxplot(df_stock.index, df_stock['Volume'], hue=df_stock['Direction'])\n", - "ax.set_xticklabels([str(date.year) for date in df_stock.index.unique()])\n", - "handles, _ = ax.get_legend_handles_labels()\n", - "ax.legend(handles, [\"Down\", \"Up\"]);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "X = df_stock[df_stock.columns.difference(['Today', 'Direction'])]\n", - "y = df_stock['Direction']\n", - "X_train = X[:'2004']\n", - "y_train = y[:'2004']\n", - "X_test = X['2005':]\n", - "y_test = y['2005':]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4.6.2 Logistic regression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Logistic regression, not test/train split" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No. Observations: 1250\n", - "Df Residuals: 1243\n", - "Df Model: 6\n", - "Log-Likelihood: -863.79\n", - "AIC: 1741.58\n", - " Coefficients Standard Errors t values p values\n", - "Intercept -0.1259 0.241 -0.523 0.601\n", - "Lag1 -0.0731 0.050 -1.457 0.145\n", - "Lag2 -0.0423 0.050 -0.845 0.399\n", - "Lag3 0.0111 0.050 0.222 0.824\n", - "Lag4 0.0094 0.050 0.187 0.851\n", - "Lag5 0.0103 0.050 0.208 0.835\n", - "Volume 0.1354 0.158 0.855 0.393\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.507 0.241 0.327 602\n", - " Up 0.526 0.782 0.629 648\n", - "\n", - "avg / total 0.517 0.522 0.483 1250\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.240864 0.759136\n", - " False 0.217593 0.782407\n", - "\n" - ] - }, - { - "data": { - "image/png": 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22WcAdOjQgcmTJ8tgcAHiSyJI11qfVkoZWuuLSqm/Ax6VEMJvbFuubAzj+u3fn3uR9OrViw0bNvDee+/5tAOZCC2+JIJ9SqlxQFml1GDgcIBjEkL4QabuoPVXbublw9owDL788ks2bdrEW2+9BUDLli3RWhMZGZnr64r840sieBF4HlgNJNtvCyFCXMYkYF2T926gw4cP07t3b+c4Qrt27ZzTQyUJFFy+zBqaorWeobXurbV+FxkfECIkZdwhzCnOngRyMQjskJqaSnx8PLfeeiuLFy+mdOnSTJs2jTvuuMMPkYv8lmWLQCnVGxgGlFFKtbc/bAF2BSMwIYRvMpWDyFASOq9jARs2bKB79+5s3boVMAeDp0yZwnXXXZen64rQkWUi0Fq/D7yvlBqitR4bxJiEED7wtDdAzKwYTlR1WRSWw9XAnsyaNYutW7dSpUoVpk2bRtu2bfN8TRFafBkjmKGU6ghEYrYIrtdajwtsWEKIjLztDOYoDe0YF8hpQThXhmFw6tQpypUrB8CECRO44YYbGDRoEMWLF89d8CKk+ZIIvgD2AnWBC8A/AY1ICJFJVknALQHYS0PnJQkcOnSIPn36sG/fPrZu3Up0dDRlypRh1KhReQlfhDifSkxorV8E9gBtACk1IUSQedoZzDAMt1YA5D4JXL58mUmTJnHbbbexePFijh8/zvbt2/0WvwhtPhWdU0oVA0oABlAyoBEJIdzYbC4LwjzsDAZ5awWsX7+eHj16OAeDn3jiCSZPniyDwWHElxbB+8BLwI/AUcyWgRAiSJw7hC31XCoiL0lgxIgRNG3a1DkYnJCQwIIFCyQJhJlsWwRa6y8dt+1F50oENCIhhFP5D8rDUvfH8vLBn1H16tWJiIjg5ZdfZsSIETIYHKa8rSNoAIwCTgOvaK1PAE8DQ4EbghOeEOHLZrNxYoD7VNC8JoBDhw6xYcMGOnToAJjF4po0aUL16tXzdF1RsHlrEXwAvAbcBIxRSpXATAAtgxGYEOEky6mh9nLRedkiEszB4KlTp/L666+TlpZGvXr1qFGjBhaLRZKA8JoIkrXWPwIopUYAHwNPa639V7JQCOE5CWRYHZwXngaDS5cu7Z+Li0LB22BxqsvtP7XWwyQJCOE/jtpAGaeGWjdb3ZJAblcHnzt3jj59+jgHg2+++WaWLFnCggULqFixoj/+CqKQ8NYiKKKUisRMFhfsty0AWutLwQhOiMLMtRXg2BnMtXR0XscEevbsyfz58ylatCivvPIKw4cPl8Fg4ZG3RHAToO23LfbbFsy1BFUDHJcQhZazK8il+yeBBLf1AblNAoZhOCuPjho1iuPHjzN16lTq1Knjj9BFIeWt6NzNwQxEiMLObSzAyxhAbpLA5cuXmTJlCqtWreKbb75xDgIvX748b0GLsODTyuKcUkoVAaYBtwMpwPNa630ux9sCr9vv/g70lvEHUZjZbDYS7kpw3zQe/0wJXbduHT169GDbtm0ArFy5klatWuXpmiK8+FRrKBceAYpprZsCg4F4xwGlVClgIvCA1roJcAgoF6A4hAgJCQkJmVoAeU0CZ8+epVevXjRr1oxt27Y5B4MlCYic8rXWUGnMMYMDWutkH57SHPgeQGu9Tinluo1RM2A7EK+UqgrMti9WE6JQstlsZleQXV7XBAB8+eWX9OnTh+PHj8tgsMizbFsESqnHgBXAv4EBSqlhPly3NHDO5X6aUsqRdMoBrYFBQFvgJaVUjRxFLUQBknDXldaAPzaKAdi1axfHjx+nadOm/P7774wbN06SgMg1X7qG+gNNgJPAaKCdD885D5RyfR2ttWNdwilgo9b6uNY6CVgJ1PM9ZCEKGJckkNuuoMuXL7Njxw7n/YEDB/LJJ5+wevVqmREk8syXRJCutU4BDPuAri9dQ2sAK4BSqglmV5DDb0BtpVQ5eyuhCbIPsihE3DaRH3tlSmhuk8C6deto2LAhrVu35tQpc/eZ6OhoOnfuTJEigRrmE+HEl9+iVUqp+UAlpdQMYKMPz1kEXFRK/QpMBvorpQYopR6yjwe8BvwArAe+0lrv8HItIQoMtzUCS3G2BmIOxOT4Wq6Dwdu3b6dUqVIcPXrUr/EKAb6VoR6ilLofc5rnHq31dz48Jx14McPDe1yOLwAW5DBWIUKSx1pBGUpELI71vTVgGAaff/45/fr1cw4Gv/rqqwwbNkzGAURAZJsIlFKbgA+BmVrr84EPSYiCIauKoTGzYjiBOREuNzOE+vXrx7vvvgtAs2bNmDlzJrVr185bsEJ44UvXkA0oDixTSs1VSt0V4JiECGkZi8WB+eHPUmApnKhqJoHczhB67LHHuPbaa5k5cyarVq2SJCACzpeuof8Bk5RSC4EJwHdAmUAHJkSoylgnCHC2ABxyMkNo7dq1LFu2jGHDzJnZLVu25PDhw5QqVSqbZwrhH750DT0DPAtEYHYRdQ10UEKEkuzGABxyOj307NmzDBkyhBkzZmAYBnfffTfNmzcHkCQggsqXlcW3A7201jrbM4UoZMp/UN7cLnKA5+O5GQPwNBg8cOBAGjZsmMdohcgdb3sWP6C1/g+wF2illHIWMNFazwpGcELkp/IflHf293uSmzGAgwcP0rt3b5YsWQKYg8GzZs3itttuy3WcQuSVtxZBWfufGbcykiqholByVgh1dPvYd92IORBD4guJfnmN8ePHs2TJEq655homTJhAt27dZFGYyHfe9iP42H4zTWs92vG4UmpcwKMSIsicXUAZ+CMJXLhwgauuugqAsWPHAuamMRUqVMjTdYXwF29dQ92A54FaSilHG7gIEIW5MliIAs+5NaTLnntug76xub/22bNnee2111ixYgWbN28mOjqaMmXKMGPGjLwFLYSfeesa+hRYBgzhShHddMA/bWQhQoBjf2DwXxeQYRgsXLiQl156yTkYvGbNGu655548X1uIQPDWOVlHa30I+BJQ9p9agOx6IQoF2xab87b1batfksDBgwexWq08+eSTHD9+nLvuuostW7ZIEhAhzVuLIBbYBDyZ4XED+DFgEQkRYJlmA62HxYvztl0kwPTp03n55Ze5cOGCDAaLAsXbYPF4+59dlVIRgAVoilkxVIgCx9N4AOvBusY/m8WULFmSCxcu0KlTJ+Lj42UwWBQYvqwsHg8cwNyqsgFwHOgS2LCE8D+P4wF5HAz+9ddfsVrNRPL0009To0YNGjf2sOxYiBDmS5u1udZ6JtBUa30/UDnAMQnhN7YtNizLLFiWXdkghjjyNB5gGAafffYZNWvWpH379uzduxcAi8UiSUAUSL4kggilVCPgkFIqCsj5DhtC5BPXVgCQ547NAwcO0LZtW5588kn+97//cccdd+TtgkKEAF9qDX0CvAs8h1l9dGpAIxLCD5zjAQ5xV246unJy4vLly8THxzNq1CguXrwog8GiUPGlDPU0pdRnmENso7XWJwMflhC5kykBgLMVYLVacz07qG/fvs6FYDIYLAqbbL/KKKU6AL8CQ4F1SqmnAx6VELnkmgSsZa1Y37aav7nkbYrogAEDuO222/jxxx/59NNPJQmIQsWXNm1/oKHW+hGgPtAvsCEJkXOOQWEHI9aAoTj3EchJd5BhGMyfP5+nnnoKwzBrLFavXp3t27fTpk0b/wYuRAjwJRGka62TALTWfwMXAxuSEDnn1h20HretJHPSJbR//37uv/9+nnrqKebPn+/2PIvF4uWZQhRcvgwW71dKxQMrgZbA/sCGJETOlP+g/JVFYnHux3xNApcuXSI+Pp433njDORg8ceLEXA0sC1HQ+JIIngN6AG2A3cDggEYkhBceN4txJIH1uRsQ/vXXX+nRowc7duwAZDBYhB9vZahLYO5PnARM11qnBy0qIchiBlBVz+fGHIghcUjuFoktW7aMHTt2UK1aNaZPny7jACLseGsRfAzsA64BamCWoxYiaDIlATuP5aJzUCrCMAyOHDnCTTfdBMDAgQMpUaIEPXv2dG4gI0Q48TZYXE5rPRjoBTQKUjwijLmWg8hYEoI4s1S0EWvkqTyEYzD4jjvu4ORJc0lMdHQ0AwYMkCQgwpa3RJAOYO8SkqWTIqA8dgOBXxaDgTkYPG7cOGrXrs2PP/5IWloaO3fuzPX1hChMvHUNFVFKRWImAcdtC4DW+lIwghOFX8YE4Ngm0jFV0zCMPHdKrlmzhh49ejg/+J9++mni4+MpX7583i4sRCHhLRHcBGj7bYv9tgVzY5oshuyE8F1WScBms3l5Vs6MHTuWoUPNpcW33HIL06dPJy4uLptnCRFevG1Mc3MwAxHhx5EEXDeLt9lsuVoNnJXmzZsTFRXFwIEDGTJkiIwDCOGBL+sIhAisoWBJcF+1m9sxgf3797N48WL69u0LQMuWLTl8+DAVK1b0S6hCFEYyCCyCytNGMY4WgENuksClS5cYO3YstWvXpl+/fqxYscJ5TJKAEN751CJQSpXGHDM4oLVODmxIorDJckYQ+GVW0OrVq+nRowe7du0CoHPnztSqVStX1xIiHPmyZ/FjmIV8iwILlVKG1np0Ns8pAkwDbgdSgOe11vs8nLMY+EZrPSOX8YsQ5PWDH5wbxi9evNhcCJbLWUFnzpxh0KBBfPDBB4AMBguRW76WoW4CnARGA+18eM4jQDGtdVPM2kTxHs4ZDZTxMU5RgGS5HsCxMGxN3tYEOIwcOZIPPviAyMhIhg8fzvbt2yUJCJELvnQNpWutU+wtAUMp5UvXUHPgewCt9TqllNvGrvZWRjqwJMcRi5Bm23Jl6qcRa9byd50J5Kjvn1tpaWlEREQAMGLECI4cOcKYMWO49dZb83RdIcKZLy2CVUqp+UAlpdQMYKMPzykNnHO5n6aUKgqglKoNPAWMyGmwIrS5dglZy1qx2WyZ9gXILcdg8J133klKSgoAZcuWZdGiRZIEhMgjX/YsHqKUuh/4Hdittf6PD9c9D5RyuV9Ea51qv/0McAOwHKgCXFJKHdJaf5+jyEVIyZgEXHcHA/8OBickJNCunS89lEIIX/gyWPyM/eb/gDJKqWe01p9k87Q1wIOYg8tNgO2OA1rrgS7XHgkclyRQcGUaGF4PCUP9kwBOnz7N4MGD3QaDZ8yYQWxsDkqNCiGy5csYgWMengWoB5wGsksEi4A2Sqlf7c/rqpQaAOzTWn+b22BF6MmYBBwbxUPeksBXX31Fz549SUxMJDIyksGDBzNkyBCKFSuWt4CFEJn40jX0muO2UsoCZNs1ZK9Y+mKGh/d4OG9k9iGKUOU6MOzYIjKvVUIdkpOTSUxMpEWLFsycOVPWBQgRQL50DUW53L0OkBpEYS7TdpHrr9zMbRK4dOkS69evp0WLFoBZIfSaa67BZrNRpIgsgBcikHz5H6Yxv81rzOmeEwMakQhJjhlAlrGWzEnA3h2U21lBq1atol69erRp04a9e/cCYLFYePDBByUJCBEEvowRDNdafxrwSETIcZ3/D8AYoLF507ldZB5WBp8+fZpBgwYxe/ZswBwMPnv2bJ5iFkLknC9ft14IeBQiJCUkJJgf/kvtP/YkYC1rzdN2kYZhMG/ePGrWrMns2bOJjIxkxIgRbN++nUaNZFdUIYLNlxZBtFJqM2bXkGP7yqcCGpXIN26tAJcWgIPr3gG5NWzYMMaOHQuYZaJnzJghg8FC5CNfEsGggEchQoazFeCSAPzx4e+qS5cuzJ07l9GjR9OlSxfntpRCiPyRZSJQSn2mtX5Ca70iq3NE4ZBpLMDPSWDVqlXMmzeP6dOnY7FYqF69OgcPHiQqKir7JwshAs5biyAmaFGIfJVpQNjOUTQutzIOBt9zzz106NABQJKAECHEWyKoppQa6+mA1jqX80REKLNutrrXC8olx2DwgAEDOHHiBFFRUbz22ms89NBD/gpVCOFH3hLBP5gDxKIQs22xmTOC8LyZfE7997//pWfPnixbtgyAVq1aMWPGDGrWrOmXeIUQ/uctERzXWn8ctEhEUGW1i1hexwQ+++wzli1bRtmyZZk0aRLPPvusDAYLEeK8JYLfghaFCBqPCcC+Oji3m8acPn2aMmXMzeZeffVVkpKSeOWVVyhXrlweoxVCBEOWC8q01q8EMxARWLYtNizLLJmrhcYBQ3Mds2rMAAAdm0lEQVRXHuL06dM8//zz1KxZk1OnTgEQHR3NW2+9JUlAiAJECrkUcr4kAMMwclQszjAMPv30U2rWrMmcOXM4d+4cq1ev9nvsQojg8GVBmSjAXBOAo//fEmf22eemK0gGg4UofCQRhAnXjeRza/bs2fTp04eUlBQZDBaiEJFEECYyrh7OzZhAjRo1SElJ4dlnn2XSpEkyDiBEISGJoBDJakoo5G4j+dOnT/Pdd9/x7LPPAmaBuN27d0s3kBCFjAwWFyJZJQHHDmK+DgwbhsH//d//UbNmTbp06cKKFVfKTUkSEKLwkRZBIeFp/2BXvrYC9u7dS8+ePVm+fDkAd999N9ddd52/whRChCBJBIWEa3mIBMzbOZkVlJKSwoQJExgzZoxzMDg+Pp5nnnlGBoOFKOSka6iAc6wTcBqau+u88cYbjBgxgpSUFLp06cKePXtkRpAQYUJaBAWMtwFha1mrc1DYl1lBhmE4P+hffvllVq1axRtvvMHdd9/tt3iFEKFPWgQFhMcVwnYxB2IgDhLqXznmbTzAMAw++eQTWrVqRUpKCgBlypRh5cqVkgSECEOSCAqIjCuEjVjD+XOi+wm3c721Bvbu3UtcXBzPPvssq1at4t///nfAYhZCFAzSNVQAuM4I8rZrmLfBYW+DwUKI8CaJIMS5jgnkdtew1atX88ILL7Bnzx7A3Dx+4sSJsjJYCAFIIgh52e0a5kvtoIMHD7Jnzx6UUsyYMUPGAYQQbiQRFBBZJQFPs4QMw2DHjh3UqVMHgKeffpq0tDQ6duxIdHR0cAIWQhQYMlgcwtxWC7s+brNhsVjckoBjltDevXuJjY3lzjvvZO/evQBYLBa6dOkiSUAI4ZEkghDlaWwgYwKAK0kgJSWFN954gzp16vDzzz9TsmRJDh06lB+hCyEKGOkaCiGeFou5jg1kVUF0xYoV9OjRA601AF27dmXChAkyGCyE8IkkghCRXRJwHRR2nSY6ZcoU+vfvD4BSipkzZ9KqVasgRCyEKCykaygEZOwGciwUcx0gzqp0hM1m4+qrr2bUqFFs3bpVkoAQIscC0iJQShUBpgG3AynA81rrfS7H+wNP2u8maK1HBSKOgiK7KaKuJk+ezODBgxk3bhwWi4Xq1atz5MgRSpcuHYxQhRCFUKBaBI8AxbTWTYHBQLzjgFKqKtAJaAY0Be5VStUNUBwFSlZJwLVbqE6dOowfP5558+Y5H5MkIITIi0AlgubA9wBa63XAHS7HjgL3a63TtNbpQCRwMUBxFGieZgldunSJ5557jrZt2+ZjZEKIwiRQg8WlgXMu99OUUkW11qla68vASaWUBZgIbNZa7w1QHAWaawIAc5vIGTNmyDiAEMKvAtUiOA+Ucn0drXWq445Sqhgwz35OrwDFUCB4WjTmaAk4REdH88Ybb7BlyxZJAkIIvwtUi2AN8CCwUCnVBNjuOGBvCXwDLNdajw/Q64e8TNNF14MlLvNuYJUrV2bp0qXUqFEjiNEJIcJJoBLBIqCNUupXwAJ0VUoNAPYBEUArIFop5ejofk1rvTZAsYQUjzuMrSfTFpO+bjYvhBB5FZBEYB8EfjHDw3tcbhcLxOuGOk+tAEcCKFGiBMnJyQB89NFHdOnSJejxCSHCk6wsDoKMCSDmQEymXcWSk5NlMFgIkS9kZXEQZJUEIiMjAXMw+M0335TBYCFEvpBEEACOWT+OH6c4nEmgSZMmXL58mdjYWLZv386wYcOkTLQQIl9I15CfuW4WA8AY+5+XrjzkGAheu3YtTZo0cU8WQggRZJII/MyRBGJmxXCiqn0cYAuUeLcEySTzyy+/OLt/mjZtml9hCiGEk3QN+VH5D8rDUmApZhI4B0wAXoHkw8nUqlWLYsXCcsJUobV+/XqaNm1K586d6dy5M+3bt6dv375cumQ2AU+fPs2gQYPo3LkzTz31FC+//DInTlyZKLBp0ya6du1K586defTRR91qSIWSbdu2YbPZiI+P93reH3/8QYcOHfz++u+99x6PPfYYTz75JNu2bfN4zujRozl+/LjfXzunFi5cSPv27enQoQM///xzpuM//vgjcXFxzt+ZDRs2OI+dOnWKVq1asX//fgDmz5/P2rVBmFlvGEbI/dSoUaNKjRo1jKNHjxoFCUsxf37C4FWMyGsiDcCIjo423nzzTSMlJSW/QxR+tm7dOuOll15ye2zAgAHGkiVLjPT0dKNjx47GTz/95Dy2Zs0ao127dkZqaqpx5MgR4+GHHzZOnDhhGIZhXLhwwXj88ceNFStWBPXv4Iv333/f+OSTT7I97+jRo8bjjz/u19fesWOH0blzZyM9Pd04duyY0b59+0znbN682Rg3bpxfXzc3EhMTjQceeMBISUkxzp8/77zt6u233za+//77TM+9dOmS0atXL+Pee+819u3bZxiGYVy+fNl4+umnjdTU1Gxf++jRo0aNGjWMGjVqVDFy+JkrXUN+kHF66PjfxzNo4iAuYw4GT58+nerVq+djhOEh0/iMH+R0Yd+lS5dITEzk6quvZseOHZQqVYq4uDjn8WbNmnHjjTeyceNGNm3axCOPPOLcSa5YsWLMmTOH4sWLu13z0KFDDBs2jMuXL1OsWDEmT57MhAkTsFqttGzZkpUrV5KQkMBbb71F69atqVq1KjfeeCOrV6/mm2++oXjx4syePZuiRYty3333MXz4cFJSUpyz1a677jrna12+fJkhQ4Zw9OhR0tLS6Nq1K5UqVeKLL74gMjKSihUr0qZNG+f506ZNY+nSpaSlpdGxY0eaN2/uPPb999+7tXCmTp0KwEsvvYRhGFy+fJlRo0ZRpUoV+vXrR1JSEhcvXuTVV1+lcePGzuf99ttvNG/eHIvFwvXXX09aWhqnT5+mTJkyznP+7//+j65duwLmvt1vvfUW6enpnD9/nmHDhtGgQQPne1O1alWee+45j+9DfHw8O3bsIDk5mWrVqjFu3Di3f4uhQ4dy5MgR5/2rr76a9957z3l/27Zt1K9fn6ioKKKiorjxxhvZs2cPdeteKbC8c+dOdu/ezccff0zdunV55ZVXKFq0KOPHj+fJJ59k1qxZznOLFi3Kbbfdxi+//EJsbKznXzo/kESQBzabjYS7EuDK7ywxB2Lo1q0bH3/8Ma+99hqdOnWSweBCbt26dXTu3JlTp05RpEgROnToQNOmTUlISKBy5cqZzq9cuTJ//vkniYmJ1KxZ0+1YqVKlMp0/fvx4unfvTsuWLUlISGDXrl1ZxvLXX3/x1Vdfce211zJx4kR+/PFHHnnkERISEpgzZw6jRo2ic+fOtGrVirVr1zJp0iS37p7PPvvM+dykpCTat2/PggULaNeuHeXKlXNLArt27WLlypV8/vnnXLp0ifj4eO666y7n8UOHDjFr1iyuuuoqRowYwerVqyldujSlSpUiPj6effv2kZSUxJEjRzh58iRz587l1KlTmfbaTkpK4pprrnHeL1GiBH///bdbItiwYYPzQ3vfvn0MGjQIpRTfffcdX331FQ0aNHB7b1566aVM78OoUaMoXbo0H330Eenp6dhsNv73v/9RoUIF5+uMGTMGb5KSktz+DUuUKEFSUpLbOXfddRdxcXFUqlSJ119/nQULFlC8eHHKlClDixYt3BIBmDsPbtiwQRJBqHF+8xyDmQQ2A3Pgvpvu4/vvvwdg+/btFCkiQzDBlF8lOZo0acLkyZM5c+YMzz33HJUqVQKgQoUKHDt2LNP5hw8fplmzZiQmJmbq096zZw+GYVCrVi3nYwcPHqR+/frAlR3q/vOf/ziPGy5bl1577bVce+21ADz++OOMHDmSqlWrUqVKFa699lr27t3LzJkzmT17NoZhONeyOOzfv59mzZoBULJkSapVq8bRo0c9/r0PHjxI3bp1iYiI4KqrrmLYsGH88ccfzuNly5Zl0KBBlChRggMHDlCvXj1atmzJoUOH6NWrF0WLFqVnz55Ur16dTp06MWDAAFJTU+ncubPb65QsWdK56h7MxZcZE2Z6ejpRUVEAlC9fnmnTplGsWDGSk5MpWbJkpvfG0/sQHR3N6dOnGTBgAMWLF+eff/7h8uXLbq+TXYvAl1gfffRR5x4isbGx/PDDDxw+fBiLxcLatWvZvXs3gwYNYvr06cTExBATE8O6des8/hv4iySCHHBLAAOAs8B44CfzuLXnlW0kJQmEH8c36WeeeYavv/6aBg0acPLkSZYvX84999wDwMqVKzl8+DCNGjWicuXK9O7dG6vVSpkyZUhOTmbEiBH07t3bLRFUq1aN7du306xZM7799lvOnTtHVFSUc9DZtYXg+ntXpUoVDMNg9uzZdOzYEcDZLdKgQQP279/Pxo0b3f4O1apVY9OmTbRp04akpCT27t3rTGwZVa1alfnz55Oenk5aWhrdu3dn+PDhAPz999+88847/PLLLwB07doVwzBYv3495cuX58MPP2Tz5s28/fbbDBs2jOTkZGbNmkViYiJPPvkkrVu3dr5OgwYNmDhxIt26deP48eOkp6e7tQbAXJSZlpZGREQEY8aMYdKkSVSrVo133nnHmYxd3xtP78PKlSv566+/mDJlCqdPn+ann35yS7KQfYugbt26TJkyhZSUFC5dusT+/fvdCkYahsFDDz3EggULqFixImvXruW2225j7NixznM6d+7MyJEjiYmJAeD8+fOZ/r7+JokgGx7XBTTC3HZnJvC3+Us4fPhwXnwxY3klEW5uueUWOnfuzOjRo3nnnXeYMWMGY8eOZebMmQBUrFiRWbNmERERQaVKlXj11Vfp06cPERERJCcn89hjj2VaXT5w4EBGjBjB9OnTKVasGBMnTuTo0aMMGTKE7777jipVqmQZz2OPPcbUqVNp0qQJAIMGDWLkyJGkpKRw8eJFhg51r3bYoUMHhg8fTseOHUlJSaFPnz6ULVvW47Vr1apFixYt6NixI+np6XTs2NH5rbxkyZI0aNCAdu3aUbx4cUqXLk1iYiL33HMP/fv35+OPP6ZIkSL07t2bKlWq8P777/P1118TGRlJ37593V6ndu3a3HHHHTzxxBOkp6czYsSITLE0aNCAnTt3UrduXR566CF69epF2bJlqVixImfOnMl0vqf3oVKlSkybNo0OHToQFRVF5cqVSUxM9Ni9l5WYmBjnDDHDMOjfvz/R0dGsXbuW3377jT59+jB69Gj69OlDsWLFqFatWrazrLZu3erW5RYIlowZLxQopaoAB5ctW5blt5Fg8JgErgOmAPYZbHFxcUyfPp1bbrklHyIUQgBs3ryZxYsXM2zYsPwOxa9SU1Pp2rUrc+fOJSIiwuu5f/zxh2Mc4Wat9aGcvI70X2TBNQlYrVasm63meIAGtpmZ/9NPP+XHH3+UJCBEPqtfvz5paWkhsY7Anz777DN69OiRbRLIK+ka8iBjErjwrwv8fMpcGNL2ibbExsTStWvXgPfbCSF89/rrr+d3CH7XqVOnoLyOJIIMXJNAbGws5cqV45OHPoEPwHq7lcX1FkP9fA5SCCH8SBIBnhci1alTh82bN7Ns2TKIBPbC4mdlxzAhROET1okgq5WoZcqUYft2+zbLDYB+YK1rzXSeEEIUBmE7WJwxCVitVm5/83YoahYK4xrgNWC8mQQW15PWgBCicArLRJBxMNgwDBgDWytvNd+RtsCHQCxYy0kSEFmT6qPuAlV9FMwV2Q888ECWx2fMmMGOHTsC8to5sXz5ch599FGeeOIJFi5cmOn4zp07adGihfN3xvUL6YULF3j44YdZuXIlACtWrOCLL74IfNA5rVIXjJ9AVx8FDMCIjY01xo0bZ7T9va2zcug9P9wTkNcUhZNUH3UXiOqjhmEYixYtMtq1a2c0a9bM4/E///zT6N+/v99fN6cuXbpkxMXFGWfPnjVSUlKM9u3bG4mJiW7nLFy40JgzZ47H5w8ePNh4+OGH3X4HunXrZpw/fz7b15bqoz5ytgRGA2dg2axl5mDwGeBesJaVb/8FWcYqsP6Q098JqT7q/+qjYNb0+fTTT91e29X8+fO57777ADh+/Lhz1fDZs2fp3bs3cXFxPPDAA1SpUoWoqChGjRrF0KFDnauOhw0bhlLKuTYoNTWVUqVK8e677zpXSwNMnjyZ33//3e2158yZ4zxn//793HjjjVx99dUANGzYkE2bNtG2bVvn+Tt27ODgwYMsW7aMm266iSFDhlCyZEnmzJlD/fr1M5W1aNWqFYsWLeKZZ57x+Hf3h0KdCNzGARz1gR4FpuJcGUxD4DZJAiL3pPpoYKuPAm61hzzZsGED7du3B+DAgQN07dqVxo0b8/vvv/Puu+8SFxfHP//8Q69evbj11luZOHEiTZo04amnnuLQoUO89tprzJs3j7NnzzJ37lyKFClCt27d2L59Ow0bNnS+Tv/+/b3G4Uv10bp16/L4449Tu3Ztpk+fzvvvv0/Lli05fPgwb7zxRqZEo5Tik08+kUSQG5mSQH1gLrAASIWoMlF89O5HdOzYUcpEFxL5lcil+mhgq4/64syZM86WVUxMDNOnT+eLL77AYrGQmprqPO/mm28GzOqj69atY8mSJYBZ2K1IkSJERkY6q48eP37c7bmQfYvAl+qjbdq0cVYfbdOmDW+++SaJiYkcO3aMzp07c+DAAXbu3ElMTAy1atUiJiaGs2fP5vg9yYlCmQgylYkG+Ar41Lz5wgsv8NZbb8nKYOFXUn00MNVHfVGmTBnOnz9PyZIlmTp1Ko8//jitWrXiyy+/ZNGiRZnen6pVq/LQQw/x4IMPcurUKT7//HP27NnD0qVL+fzzz7lw4QLt27fP1E2TXYugWrVqHD58mLNnz1K8eHE2bdpEt27d3M7p1q0bw4cPp27dus7qowMHDnQeHzx4MFar1fk7INVHc8GtJXDHlcfve/Y+ShwvwYABAwJeyU+EL6k+6v/qo75o1KgRW7du5frrr+f+++9nzJgxzJw5k+uuu85j9dEXX3yRoUOHsnDhQpKSkujTpw833XQTV111Fe3btycqKoqYmBgSExNzFEdkZCSDBw+mW7duGIbBo48+SoUKFdi3bx+ffvopI0eOZOTIkbz55ptERkZSrlw53nzzTa/X3Lp1K02bNs1RHDlVaKqPuu0Wlg78AHwGTAWjfej9HYUQ/nPs2DHGjx/PO++8k9+h+F23bt2YOnWqc4OdrEj1UTBbAY2Bw8DLQDzwB9RcXdP7E4UQBd4NN9yAUupKRYBC4pdffuG+++7LNgnkVaHoGrLZbDAS+AizFZBqblc3ZcoUnnzyyfwNTggRFL17987vEPzu7rvvDsrrFNgWgc1mw2KxYBlrIeHeBPgAmAekQvfu3dmzZ4/MCBJCCB8UuBZBpmmhjTHXBByDktVK8v3H38tgsBBC5ECBSwQJdyXAS8AOoK75mLW1lV7/6UWbNm3cVgEKIYTIXoFKBDabzVwZ/DKwHYgH6z32FcH18jk4IYQooAKSCJRSRYBpwO1ACvC81nqfy/EXgB5AKjBaa/0fjxdycf/99/NDyg/OZ5UvX54P1YfY6tkC8VcQQoiwEajB4keAYlrrpsBgzMmcACilKgJ9gbuA+4BxSqlobxdbunQpP2z6AX4BUqHyo5XZs2eP2UIQQgiRJ4HqGmoOfA+gtV6nlHJZ40sjYI3WOgVIUUrtw+ztd13rHgFmFcHaL9cm+atkilIUqkD9fvX56rGvSE5OdqvpIYQQ4cylblVETp8bqERQGjjncj9NKVVUa53q4djfwNUZnn8dQKdOnahABah65cC56eeInR4bkKCFEKIQuA7Yn5MnBCoRnAdcS+4VsScBT8dKARlL620EWgB/AWkBilEIIQqTCMwksDG7EzMKVCJYAzwILFRKNcGc4+OwARijlCoGRAO1MCeDOtm7jVYHKDYhhCisctQScAhI0TmXWUN1AQvQFbAC+7TW39pnDXXHHKweq7X+0u9BCCGE8EnIVB8NxJTTgsqH96I/4CiilKC1HhX8KAMvu/fB5ZzFwDda6xnBjzLwfPh9aAu8br/7O9Bbax0a/7H9zIf34hWgI2YN4rFa60UeL1RIKKUaA+O11ndnePxBYATm5+WHWusPvF0nlGoN+XXKaQHn7b2oCnQCmgFNgXuVUnXzJcrAy/J9cDEaKOw7DHn7fSgFTAQe0Fo3AQ4B5fIjyCDx9l5cg/k50RS4F5iSLxEGiVJqIDAbKJbh8UhgMuZ70Arobv8MzVIoJQK3Kae4bStzZcqp1voc4JhyWlh5ey+OAvdrrdO01ulAJHAx+CEGhbf3AaXUY5jf/JYEP7Sg8vY+NMO+zl4ptQr4n9b6RPBDDBpv70UyZiH6Evaf9KBHF1z7gfYeHq+F2Q1/Rmt9CXO8tYW3C4VSIvA45TSLY56mnBYmWb4XWuvLWuuTSimLUmoSsFlrvTdfogy8LN8HpVRt4CnM5m9h5+3/RjmgNTAIaAu8pJSqEeT4gsnbewHmF6VdmF1khW+XGhf2sdXLHg7l+PMylBJBXqecFibe3gvsM67m2c/pFeTYgsnb+/AMcAOwHOgCDFBK3R/c8ILG2/twCtiotT6utU4CVlK4K295ey/aYk6fvBm4EXhEKdUoyPGFghx/XoZSIliDObOILKactlBKFVNKXY2HKaeFTJbvhVLKAnwDbNVa99BaF+Z1Flm+D1rrgVrrxvZBsrnA21rr7/MjyCDw9n/jN6C2Uqqc/ZtxE8xvxIWVt/fiDHABSNFaX8T88Lsm6BHmv91AdaVUGaVUFNASWOvtCaFUfXQR0EYp9Sv2KadKqQFcmXL6DrAKM3kNtf9DF1ZZvheYi0ZaAdH22SIAr2mtvf5DF1BefyfyN7Sgyu7/xmuYu3QDLNRaF+YvSdm9F3HAOqVUOmbf+E/5GGtQKaWeAkpqrWfZ35MfMD8vP9RaH/P23JCZPiqEECJ/hFLXkBBCiHwgiUAIIcKcJAIhhAhzkgiEECLMSSIQQogwF0rTR0UYU0pVAbZhrgh1WK61fiOL8+cCC3K7dkApdQg4grnfRRHMhVnPaq3/zsE1BmMuaNsGPK21nq2U6gKczu30Vpe40jGnCpcEXtBab/LynD5a6/dy83pCgCQCEVp2ZayiGGD3OtajKKXGY5ZL97ksgdb6LftzqwDPA7O11nP9HNd9wEjgAS/nDwMkEYhck0QgQppSKgKYCVQGygJLtNbDXY7XwFxZfBmz5O4zWutjSqlxmCsqi2CuOv7cy2sUwVyBqu2VGz8EqmF+I39ba/2ZUqoX8CzmN/XVWutXHa0S4FHgVqXUCPvrHQdqYK7+/the+XGx1rphTuKyuwlzxayjyF5vzIVUAI9hlmYvo5SaBvQDZgDV7dcfprX+JZvrCyFjBCKk3KqU+sXl5wbMBLBOa30fZuXJnhme0wazzEIcMAa41r7i+mat9V2YBdmG2ksUZ/SjUupnYCnmh+0nmB+sJ7XWzezXHK2UKofZWuhnL398IEOhszGYrRnXbqwPMBMHQGfgoxzGtUEp9Qdm5d1X7I/XAGz2VpMG7tNaj8HsiuqF2So5qbVuCTwMvO/h2kJkIi0CEUoydQ0ppUoDdyqlWmMW08q4D8UczMqb32NWXBwC1AEaKqV+sZ8TifnNOmPhLWcXjMvr1cJMDGit/1ZK7cJsHXQFXrF3Ia3lyrdyj7TWu5VSRZVSNwFPYCaV7jmJSyk1FrOAWqL98UTgY6VUElCTzPVj6mDW5Gpsv19UKVVWa33KW6xCSItAhLouwFmtdSfMTUiK2wvvOTwMrNJaxwKfYyaFPcDP9qRyD7AQOODj6+3GXrvdvulLHeAg8ALwota6FVAfcx8Ah3Q8/1+aA0zATHBncxHXMOB6oJe92OIozJ3pnscsruZ4Hxx/7gHm26/fFvP9OOPj31uEMUkEItQtA6z2ImPTgf9ifjg6bALG2DdleRF4F/gOSLI/9htg5GA20CygrFJqNfALMEprnYhZ5XKjUmo55jfz9S7PSQSi7K0FV59j7qg3234/R3HZNx7qhpkQSmJW3vwds/jiBZf3YZdS6lPMsZSaSqkVwK/AYfs1hPBKis4JIUSYkxaBEEKEOUkEQggR5iQRCCFEmJNEIIQQYU4SgRBChDlJBEIIEeYkEQghRJiTRCCEEGHu/wE7iAwwXhdgYwAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "logistic = skl_lm.LogisticRegression(C=1e10)\n", - "logistic.fit(X, y)\n", - "print_OLS_error_table(logistic, X, y)\n", - "print_classification_statistics(logistic, X, y, labels=['Down', 'Up'])\n", - "plot_ROC(logistic, X, y, label='Logistic Classification')\n", - "\n", - "# same results as statsmodels\n", - "#smLogistic = sm.Logit(y, sm.add_constant(X)).fit()\n", - "#print(smLogistic.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Logistic regression, with test/train split" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No. Observations: 998\n", - "Df Residuals: 991\n", - "Df Model: 6\n", - "Log-Likelihood: -690.55\n", - "AIC: 1395.11\n", - " Coefficients Standard Errors t values p values\n", - "Intercept 0.1912 0.334 0.573 0.567\n", - "Lag1 -0.0542 0.052 -1.046 0.296\n", - "Lag2 -0.0458 0.052 -0.884 0.377\n", - "Lag3 0.0072 0.052 0.139 0.889\n", - "Lag4 0.0064 0.052 0.125 0.901\n", - "Lag5 -0.0042 0.051 -0.083 0.934\n", - "Volume -0.1162 0.240 -0.485 0.628\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.443 0.694 0.540 111\n", - " Up 0.564 0.312 0.402 141\n", - "\n", - "avg / total 0.511 0.480 0.463 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.693694 0.306306\n", - " False 0.687943 0.312057\n", - "\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "logistic_test = skl_lm.LogisticRegression(C=1e10)\n", - "logistic_test.fit(X_train, y_train)\n", - "print_OLS_error_table(logistic_test, X_train, y_train)\n", - "print_classification_statistics(logistic_test, X_test, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(logistic_test, X_test, y_test, label='Logistic Classification Train/Test')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4.6.3 Linear Discriminant Analysis (LDA)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "# use only Lag1 and Lag2\n", - "X_train2 = X_train[['Lag1','Lag2']]\n", - "X_test2 = X_test[['Lag1','Lag2']]" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Prior probabilities of groups: \n", - " Down Up\n", - " 0.491984 0.508016\n", - "\n", - "Group means: \n", - " Lag1 Lag2\n", - "Down 0.042790 0.033894\n", - "Up -0.039546 -0.031325\n", - "\n", - "Coefficients of linear discriminant: \n", - " LDA\n", - "Lag1 -0.642019\n", - "Lag2 -0.513529\n", - "\n" - ] - } - ], - "source": [ - "lda = LinearDiscriminantAnalysis()\n", - "lda.fit(X_train2, y_train)\n", - "print('Prior probabilities of groups: ')\n", - "print(pd.DataFrame(data=lda.priors_.reshape((1,2)), columns=['Down', 'Up'], index=['']))\n", - "print()\n", - "print('Group means: ')\n", - "print(pd.DataFrame(data=lda.means_, columns=X_train2.columns, index=['Down', 'Up']))\n", - "print()\n", - "print('Coefficients of linear discriminant: ')\n", - "print(pd.DataFrame(data=lda.scalings_, columns=['LDA'], index=X_train2.columns))\n", - "print()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.500 0.315 0.387 111\n", - " Up 0.582 0.752 0.656 141\n", - "\n", - "avg / total 0.546 0.560 0.538 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.315315 0.684685\n", - " False 0.248227 0.751773\n", - "\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print_classification_statistics(lda, X_test2, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(lda, X_test2, y_test, label='LDA Train/Test, only Lag1 and Lag2')\n", - "plot_classification(lda, X_test2, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4.6.4 Quadratic Discriminant Analysis (QDA)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Prior probabilities of groups: \n", - " Down Up\n", - " 0.491984 0.508016\n", - "\n", - "Group means: \n", - " Lag1 Lag2\n", - "Down 0.042790 0.033894\n", - "Up -0.039546 -0.031325\n", - "\n" - ] - } - ], - "source": [ - "qda = QuadraticDiscriminantAnalysis()\n", - "qda.fit(X_train2, y_train)\n", - "print('Prior probabilities of groups: ')\n", - "print(pd.DataFrame(data=qda.priors_.reshape((1,2)), columns=['Down', 'Up'], index=['']))\n", - "print()\n", - "print('Group means: ')\n", - "print(pd.DataFrame(data=qda.means_, columns=X_train2.columns, index=['Down', 'Up']))\n", - "print()" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.600 0.270 0.373 111\n", - " Up 0.599 0.858 0.706 141\n", - "\n", - "avg / total 0.599 0.599 0.559 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.270270 0.729730\n", - " False 0.141844 0.858156\n", - "\n" - ] - }, - { - "data": { - "image/png": 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\n", 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OKki1m6MhuVEmLrXg2TB9ar0OSIm8d47DsfKqve5ZKM2MfSkFZeJSGx4N06eWeojAcUZeldc9C1WeoyHuKYiLlFAmQwSeLEOrm6rO0ZBiqJwuUlKZlKoLXoZWR9qLXrKkIC5SYpnstKZA7pzmCkhWVE4XEZXWC6C5ApIFBXGRtIbuuOKvbU1XIBcpHZXTpZpc7aRR4pOvejZdpXWRUlEmLtXjaieN8Nnpy0vB7cAdV/wxcLMYZeR+KHGFR9xREJdqcRlYS7zgd3ERxti+zmmU9RNNzyGQKybFoC3dJCIFcakWl4E1jwW/jiLd1OQzrK9tbLtvY22DqclnTtyRYSDPMiZVvjMQe09dqTMFcakWlztpDDs7PS6H2Vdj5Tgz419inFUmWWKcVWbGbqexcnz7F2YQyMPbjC4tB7dJY1ItEtQSV3jEPU1sk2pxvZNGVgt+w8MAa6vBfXluqD01xTQPsg/LIlNMsUhjZBWmLjn5a1OegtaJSatJ9nkPqc2e49rSTWJQEJfqcb2TRhY7rmydaLJ64r4kkS6qdmenMTdHY/RHwzs77YwciD17PauYlFVnwHva0k1iUBCXQNUON85kKzOHisi+ujo7LRosHo1wCcRchpZVTKpVgqot3SQiBXEp9Vrnyigq+2p3dmJfAjEDeRYxqXYJatk6olIIBfG6cz0WK/0VlH2FJ0OvxRlr7gTyO3+R2Rd/Zmibs4hJSlBFttPs9LrTTFi/FLChdqpL4DnPgfvuY/a/v8DZdHHtOS5ygoJ43dVqoFF6SXwJdFL4zQ1YX2N27fe0njmFyq9/l1woiPvK1W901mudh6nDJ1XJnuPWJTAOk5PBbaRLoEcKP7vxB6riJFCL9e+SC42J+8j1RDNXA411mEBX0ueY6BLolcJvbjL70BuY3XtvLu2sotqsf5dcKBP3TVGHauQ90Fjiw0IiK/lzjH0J9KrivO51MDmpw1Ni0LQUSUOZuG9cb/rhSoznVdol6768dy5fwH4pvI4zjUzTUiQNBXHfZPQb7V0gjPK8Wi0Wvr3M3F1nMjY2UqZqdMCHT+Miyvm91o5lcC65d9dwt4waWLv175IpBXHfZPAb7eWw7LDntbBA69avMLf+HtYYibde2RdFfxr7tuY/RSD38hoOy7iBWv8uSSmI+yjFb3TijTtc6Pe82o1eXN/NGOusMbH1X7weSeiViRX5aexLOT8sQSD3fqJXTr9k2qBNktDENl8lnGjm/SSZXs+r3egpFllne+O9HRsctCaoqN1IfCjn9xLzONNY13ARy/m8/yWTOlEQrxhfP8cHaje6wTPMcOuJM67HN/0cG8xiFnoewcf1mv84YgTyyNdwUYurS/lLJlWlcnrFFD0sm0io0dOjj7Bv/S9YfNWVTL3sHD/bnbZsneeAr8+Dq92l9T4TwyJdw0WOG5Xyl0yqymkQN8aMAh8Hfg5YBt5hrT0SevxjwCuAp9p3XWWtfcJlG6vA58/xvkKNbkxN0fC50WkyMReTz3weXO1k5J/+PrNH3tq3IzP0Gt7qSBV0uHgpf8mkilyX038F2GmtvRD498Cfdj3+UuAya22z/UcBPKFSHhJRlkanKVtnPJ5ash1eA60WHDkS7LW+vBwE4h7DEQMvBx9K2mW5XqXSXJfTXwkcBrDW3meMOb/zQDtLPxe43hjzPOBGa+1NjtsnEk3STCzD4JO0Kl/4+uvQcMQsH2KWP4yfRaukLQK4D+KnA+Hset0YM26tXQMawJ8DfwaMAV8zxnzLWvuPjtsoZVF0NEpSts4o+CQdEvZi/XVXR2aWDzG78R/jd2RU0hZxHsSfBHaF/j3aDuAAzwAftdY+A2CM+XuCsXMFcTmZF9EooTjBp09HJcmQsDd7CPToyMye8zfMNh5O9r0UvKXGXAfxe4Argf9hjHk5EF4T8iLgFmPMSwnG6l8J/LXj9kkZ+LYzWRJRgs+AjkqQzG4CI1tfPqwqX/RcsG16dGRm5+cz22u96CKNiCuug/gXgEuMMfcSfPq83RjzPuCItXbOGPNJ4D5gFfiEtfYhx+2TMvBxZ7KsDemoNB5dYGbjCHO8llHW2RidZGZmdODTz20uWNKI2d2RaTaZnSd1IC9zkUYkLqdB3Fq7Abyr6+5/Cj3+YeDDLtskJeTDzOS8DeqoQLCmfmOVfTzCIlNMjbRo7LuOYGpJb7nMBcs6YrYDOcQM5u2ORGvyTObmTvV3y1aRjGmzFymfOsxMHtRRCQX4Bs/Q4BkY2zF8QHxxkel9U+w70Mim1JzXsEbc/dZDHYnFtecyNvJrrIa2761akUYkTEFchvJyfLHqM5NDHZXWyGksbuxi6rILT2yCE6cS0Z0tX/Z6eP7+9G3Mc1gjaiDvmq03xQ9ZZwNCQTx2kcbLC16kNwVxGcjr8cWqz0yenmZh+UXMHZ4Izle/Y4SZHTA9HaMS0ZUtL/AS5m4/h7HJTdY3RtK9n3kPa0QJ5F2z9Ro8y8zY7cwxw+jYaPwijdcXvMjJFMTrIkF2kdmSJGU2ibRaMHfHDtbWYa0dK7de/6iViFC23OJU5riKNSZYW+n6fkneFhfDGv0Ceeeampw8qSMxPfIQ+667lMWVU+Ndct6swROJTkG8DhJmF5ksSVJmk9jQ1z9KJSKULS8ylf157S6GNboDefc1dd558MAD2zoSjd2nDpji14dXa/BEotFRpFWX4tjM1NXSLI7srLFMqtXtbLk1dgZL46fnc167iz3EOwen3PmLJ7Llzr7rDzwA110H11wDBw4k7yTWYdWDVI6CeNWlOHBj65yP8aBqOT4es1qa0WEfpTzkIwOpX/+2BaY5OHKAz4y8kY3RcUZH032/wjSbsLTE7OaHtt8/OgorK+k7Elm94CIOqZxedSmzi1TV0gwym7pX49NWq08M846w1t7dbWwM3jizxJ6dx2nsOZ1Ba8u98+pXw3e/yywf4nf4cLBGfr1FI6tsueqrHqRyFMSrLoPJR4kngaf82ZpnBLRaNNpnrCd50r2GecdG1tn5hU/RGP9B+XpGjQa87nV8//N3cyW3cSlfZn1zkplHR7N7ClVf9SCVoiBeB0VmFyl+duJ5RlWZDZ9BGaJnMWRtgyl+COtLwR0Je0ZFvcytfdP8t/GX8Iq1f+Awl9PcmK9f506kTUG8LorMLhL+7ETV+KrU3zPaDe2kYsj6BjMjX6Kx9syJL0owA7vIlzno3I3wD2tN/jXzzNPkstF5TSKXWtLENvFW7HlGVZoNn9GkQAiC63XXwRVXwHXXLDHNg9u/IOY8hfAwR2eCuMuXOdy5+weaAHx5talJ5FJLysTFa7Gq8T6fbha39pzhcqftWfOpzJz3NqYfOJR4jkTRy6m7qwv3bDR5xznz/Mn9EfdaF6kQBXHxXuRqvK/rfJPUniNOChzWN+g5OfCBn2bfde+lsXI80YC2Dy/zyZ27ZrxDU0QqQkFchivLRDEfTzdLM7Y9pAwRpW/QN2teOZXG3lMTPSVfXuaTOncD9lovyyUsEpeCuAxWtolivq3zTVvi71OGiLr8Lq+s2beXeUuPQF62S1gkDk1sq6ostjkr60QxF9uARpVTFI067y3y5MAE14tPL/M2nS1a55tbl/DqGiwtB7dluIRFolImXkVZpR4+TxQri5xqz3H6BkOz5jKkqnHr4e2M/INfbfLcsXlWdaaJVJSCeNVktL4Y8GMGk0O5jZvmUHuO2zfoOzmwx/XSuvUrLJ56DlN7TonW1LwHnJN2MppNdt45z50rTV7F/NbdRVzCGpOXvCiIV02W2bMvM5gcyD0ZzWGznUz6Bl3XywIvYW79KsY+Pcb6ZoTXIc8XrtWCY8fg1lthfS1Rp3Ty0ibm+Dxft00umZgv5BIuQ6FDyktBvGqyzp5dz2AqIGVJtEe7J6lV6r5B6HppcSpzXMUaE9HiZZZVn26dyDcyEgTwsJid0ue9qcmZd87z+FKT//DqebdbxIbG5FeL2v/fk2tV8qEgXjV5ZM+utmzNMmWJ8cEVe/OSKqVWoetlceS5jK2us8bE1sMDX4e85kyEOwe9JOiUTl7aZHLe/YYwnZeosDH5Kl2r0pOCeBV5u/5ngCyzupgfXLGKF3lmn0WZnoY9e5h69Pusf3kHhF6LgfGy3ws3ORnMdI9y7fXqbPXqHABMTMLmZqJOaasFi+c22f2Q2w1hCp1WomMAa0FBvKrKdpxiVlldgiAbq3jRr53HjsHOneXpNIW1Oz2NsTFmNh9hbvQqRsdHhxdxer1w550H118frQPVr7PVK/KNT8Cb3gR79sR+fbf/mGCLVleBvNBpJUXvjytOKIiLG8PK21mlLAk7A5GLF73aubYGt9xSzpJlV6dnmv+LfWOPsfjGd0WbnR5+4SYngwAepQM1rLPVK/K98IXJn14oGf1vR5r8zpnzsb9XUoUVxmq2uqSuBgZxY8y5wH8CngX+0Fr7SPv+v7TWvttB+6QKopS3s0pZUnxwRSpedLdzfT0o8Za1vN6j09MYW6Kx88fQ2Bvte3ReuKNHo3eghnW2Mop8/ZLRpaVE3y6xQgpjNVpdUmfDMvHrgT8GJoC/Nca81Vr7APAzubdMqiFOebs9NsvRo8FWYLt3x/95Lj64wgFmaQk+8xlYDnUcylSyzDJbi/O9onxtBpGv34/ZuZN6HJZSxvkxEsvQcrq19k4AY8wR4PPGmMuBzbwbJhURp7yd1UxaFx9cnQDTanlTsky0kijLTk+c75Xk5yZ4gv1+zOR0049Tz1ws/yrb/BiJZVgQXzPGXAl8yVprjTHvAb4IoTUoIoNEzc6iZuxRP/RcfXCFokRr5DQWN3YxddmFNBx/aKbq/2TZ6YnzveJ8bYon2PfHDDj1LLUo16mWf0kGhgXxXwf+A3AP8GNr7deMMQeAj+TeMqmGqBlXlIzd1w+96WkWll/E3OEJxsZGWL9jhJkd7pqWyUqiLDs9cb5XlK/NYFlf3x+TRyCPcp1q+ZdkZOApZtba/2Wt/bfAacaYnzbG/DTwz8AVxhhl4xLN9DQcOADXXBPc9opuwzJ2j09Ua7Vg7o4drK2Psrwywprjk7KinmhWWnk/wdCpZ6mFg/PyMn0vhsq/aW5lcWhjWUU9ivSLwHeBTwMPAP8T+P+MMW/Nq2FSMY3G4HMrOxn7+ARM7ghuwxm7xx96RTet8iuJXDzBrAJ51Iuh8m+aOwsLcPAgHDoU3C4sFN0it6IG8f8XeJG19kLgHOB+4CXA/55Xw6SGBmXsOX7ope3FD9u4LO/sYKv/M+zM8LIa1sHLShaBPOp1Wvk3zQ2dFx99s5fnWWt/CGCtPW6MeZ619sfGmI0c2yZ11G/wMqelY1kMs6fduCwL3ZO3IPrOp6XgaqlU2jHyONepln+lVvje9B6IGsS/bYy5GfgGcCHwXWPMm4Dv59YykW5pP/S6ZgxnObeo58Zljucsdfo/vs7/S83VioO0gTzOdarlX6loVCJiOd1a+++Am4FTgL+x1r6HYIz86hzbJnKyYWPr/fQYOMt6LLvTtJWVXt9308kYedR5VTJE2tJ693Va55lXOeoUPibGYcdkcFu3UYlImbgx5iygAXwP+BfGmPdba/8415aJJNW9RrfPEqWp617I+vqp2/5rFr34ntnByhpT3zsCe/fHbn4cOvMiQxdcAF/9KrN3/iKzl96b/PtUtjTih7qPSkQtp38W+H+AaWAJeCa3Fomk0esD86yzeq5Bb6wcZ2bm1Mx3aG00YOayZeZuH2WUdTYYY4ZbadxhYf+BgT8g7ee9F+VFF7uQ5d2Grjdi9vh+Zt/0cLJ2aD147uo8KhH5FDNr7buMMTcB7wC+nl+TRAKxP4f7bQpy3XV9I9v03nx68dPP/yH7Jj/L4sopTLFIg2dgdMfAlDjy5/2AF6bwMy98yDrTtqHXdWRtcL9KI+KZyEHcGLOToKS+CZyWW4uqxoespIQSfQ732/VtZWVgZMulFz81RWPjaRocP3HfkJQ40ud954XpnKB2+eVw/vnbvk9h5cWst87Nsw2D9LqORkaSBV4vSiNSZVGD+H8FDgB3Av8LuC+3FlWJD1lJCSWuQA76wNybU8rdT4KUeOjnfThAddz+xeC2K5D37JikDJ5D/7sPW+cmPE9+m15vxOgosw+9gdm9McfI7pJWAAAgAElEQVTGCy+NSNVFCuLW2s91/m6M+SzwldxaVBVZZARVETN4JK5ADvvAdD1wFjMlHvp5v7gYPNDt8GHYvz+3A0Qi//c4W+fm9TuRRebb742YnmZ2fnLgsrOel3rdZ15JriKX0zustU8YY/JoS7VkkRH4LqeTmlJ9Dvv2gdnpOHSWGA1p08Dm93phYPh1lTJ4Rq6MDOuFuPidyCrz7fdGNJvMztMzkA+81Os880pyFTuIt+k88WGqPhYW66SmeMEj9eewbx+YvV6rAR2Nvs1vNIIx8E4JvWNzs/911WrBI4+cnMHHCJ6xKiODeiGufiey6sj1eyN6BPLw9p+rSSeha/6MJDAwiLd3aesO2CPAvtxaVBUlGQtL9LkRNThHzbx6NMK3hDqSXi9mr9fqb/82eB2SlLY7Y9+HDwffY3Oz/3UVngS3srz9sRjBc1Ds7Xn99At+Ln8n8u7IdQXy1Nt/av6MJDQsE/+rmPdLmOeRKPHnRtTgHCXzGtAI3xLqgfo9j16v1cZ68CdideKkQHn++cEY+KDrqtckOICJycGBv4d+sffRRxNcP57/TsTSDuQAv3PBfPIig9aSSwoDg7i19h+y/GHGmFHg48DPAcvAO6y1R0KP/wbwTmAN+CNr7Rd7fqMy8TQSpfrciHtSU7/MK8uJTkWWIgc9j37j2GEDUra+fZxh11WvzsPkDrjiCjj33P6Bv89r2OuAlYMHE14/Dn4nnF0O7X3W/+T+Jv/bzHyyIoPWkksKScfEk/oVYKe19kJjzMuBPwWuAjDG7AF+Czgf2AncbYz5srV2ue93k8RSfW7EKYsOyryymuhUdCly0PPYu3f7a7W+HmTCG6HA3idly6Wj1S+AR3gNw7H36FF/447zy6EdyBMXGao+f0Zy5TqIvxI4DGCtvc8YE17c+vPAPe2gvWyMOQL8LMHZ5ZKx1J8bWZzUlMWHlw9L+YY9j+7XqlOH7nSALrqo57d11tFK8Br6GneKrkwnKjKUZP6M+Ml1ED8deCL073VjzLi1dq3HY08BZ7hsXJ1k8rmRtiyaRSN8WMoX5XmEX6tOUP/2t+HrX4d774W77jopZcylo9WrzpzgNez7lGnB0eLGu4usTCc+uhSqNVdAnHIdxJ8EdoX+PdoO4L0e2wUsumpYHXnxuZG2Eb6khEmex113wfpa8AdOShkz72j1qzMnfA1PesqPLsDBYmdYF3Y5pD2DHLydPyN+i3SeeIbuAV4D0B4TXwg99k3gImPMTmPMGcB+4EHH7audRiPZ8dzeNKIT6cYngolb4xOJSpGZHPcc53lEPMx8ehoOHIBrrgluE8fEcMl8eSm47Rw0nuI13HrKDPj+Dm09lXGYnAxunVWm055BLpKA60z8C8Alxph7Cdabv90Y8z7giLV2zhjzMeAugs7F71lrlxy3T8ooZTZfyLy4GCljJgnasJJ52oqID8MabYVWmLLIyEVicBrErbUbwLu67v6n0OM3ADe4bJNURMJIV9hEKNeTmaJ0GtL0FnwZ1mgrtDKtQC4OuS6niwwVq7Sdsg4esaqdj3Ct/Lrr4Kyz8is/ZzTsUNj3L4vO9XjBBUDv0nomQzciba7L6SIDxSptZ1AHT5xAZrWbSKORcOuzBPKuM3sxU7JAva7HH/1o6Jf4sLuqtm0vLwVx8Uas0nZG68MTVbWz/CR2vc49xzpzEAgaTE016hcI+r2P7Yw8/CWpDknJga8dC4lGQVy8EWuNb4YTqWIlkFkH3SInhGWYftU+EPR7H5eWtsbGUx+SkgNfOxYSncbExRuxStsZT6SKvDos60H0giaEtb71MEc/8mlan/hssAn6wsLw/9Tve4UqKMvLwW0Bq8tiy3Rsut/7+OpXA8HYuGdz/4CC54RIJhTExRux1vgWNZEq60/iAp7HwreWOXj7ORxav5qDK7/JwppJFXX7BoJjz3o7g2thIei7HDqUug8TGPQ+tteP/8n9TWZmYGIcdkwGt0XP/fOxYyHxqJwuXolV2i5iIlUeS8McPo9WC+YOT7DGKGtMADDHVewb+TiNhHXdnoFgbYOpm/8Kxpe9q6/ntqxw0PvYXnb2uR81+Z0D895MItO27eWnIC6FGDQcG2vuVRELgmMG3UhDz46eR5A1j7AWCrqjrLO4sYtGiqGI7YFgk5mNW2msPwGdn+PRQGuu+6sPeh9Dx5b6tH687osKyk5BXJxLNAnKtzUwEYOubxO+pqZgfWNk230bjDF1+YWpXtdtgWDpGI3PWAgfItwVJYt8OwstIXu6EYy2bS8vjYmLU4kmQWU+gOmGjxO+ts872GR8bIOZX96gcf7+TL733r3Q2HP6wCjZ9+10tAtKofurg/ZYl0wpExenYpcyfTgvPKEij8Uc5ETWPMLU1AiNxo5sf8CAgda+49HLD9O44/POShaFl5DbGblIWgriEklW5c/YpUyPDtaIy+eZv7mXT/tEyd4dm00WD3+DxrrbjppKyFIFKqfLUFlWs2OXMn2OhEMUXrYtWo/F9z3fzvVNpsae2n5nwYuVXe1vrpK6pKVMXAbKYzlOrFJmydfAFF629UzPt/OyVRp3PL39CwvsqDmbjOjpJDcpFwVxGSivcd1YpcySR0Jfyra+TPA/+e3cATv86Kg5P5pWgVxSUhCXgbypZseIhL4EK5/4ttTtpLfTk45aIZMRFcglBY2Jy0BlG9ct6Wq0XPm41K2nyBvYnyyrMezCOq1adiYJKROXoTxJkoZyXgotCV+XumUlyypDoVMwlJFLAgriEokv47qD5BWsyl6eT5JdxnrOBb5AhU+8zJrWj0tMCuJSGXmUQn0bS04ibnYZ6zkX/AJ5MfFSpEAK4lIZWZdCvSzPJ8x6o2aXsZ6zB7vpeTPxMmMqqUtUCuJSKVmWQr0bS06Z9UbJLmM9Zw9208uy4+bNsInGxiUGBXGpnKxKoV5leY6y3ljP2ZMXKIuOW+ajAml7BDEDuTcdEHFOS8yk0tIsPfJqeV0n6w3LYWvSWM9564snYHJHcFvQC5RidVr2S/CyWucYcdmZllXWmzJxqawssitvltc5zHpjPWdvXqDkMh02ybpiMmS2eufHra4Ff9L+OKX05aMgLpWU5aQ0L2YqO17AHOs5e/ECJZdp/8jxPIHOj1vNogNShaUYNaQgLpXk3aS0LFQg6/VRpv2jnCom/cbGM/txXi7FkCg0Ji6V5Mmcq+ylGfyVvqan4cABuOaa4DZxAprFPIHuiRwDxsY7P25iHHZMBreJOiCO5lxI9pSJSyWV/ATTfGncs6fMRgXSVEz6lbQHzFbPpEBT2V5v9SmIS7kNCEiqPveQZtyzasE/z+eTpEcwbFLcgECeugOiXm9pKYhLeUUISCWfc5WtNDOnXU16ctVR8HESV69JcSMjcOwYvPCFwb/z3Ftdvd5SUhCXcvJgy8/SSTpzOqfX+qR47bKj4OO106ukvboCt9zirpOhXm/paGKblJMm4sSXdNwzh9f6pA1KvrV8IrAuLwW3eR167uu10ylpj3XlVj1eC507Lh0K4lJOmogTX9KZ0xm/1j13SDs8QWv0tO1fmFdgzfD5pNkRsKfpaXjzm2Ficvv94dci4k5uUg8qp0s5aSJOMknGPRsNOO88uP+b279Pwte65xr+sREW13fR4PiJO/PqlGV07eRW/d+zBzY3t9/X/Vro3HFpUxCX8tJEnGTijnu2WvDAA9vve+A78BM/AeefH/vH906ER5i6/EK443tuOmUpr51c90ZRB1ViUBCXctNEnPwtLgbBpNvhw7B/f+zXv2+Mmt4P+w+465SluHZy3xEwSiej2WR2Hh1XWnMK4iIyWK/UGYIoljBqhWPU5CSsrATZbaMknTInUzKivBYK5LWniW0iMlijAZdffvL9KaNWowE//jFcf335jtH06pjaZlOT3GpMmbhsV7VduSQbnbHvw4eDDDyDcdqyn7nh1ZQMZeS1pSAuJ/i4i5X44/zzgzHwjKJWFU6aK0n1XypMQVwCvu5iJX7JMGppqb9IehoTl4Cvu1hJZXk1ruyrOLvJaGy8lpSJS0BpkRTAq3Fl3yQZ3tLYeO0oE5dAvy05IeN9JUW2azRg714F8G3Cw1t57yUvpaZMXE7oTosefhg+8pHts5E10U0kf0lPnGvrdea4VJMycdmukxY9/DDc/kVYX4OVZWUCPsj8tA3xVprhLR2QUivOMnFjzCnA3wDPBZ4Cfs1a+3jX18wBzwFWgWettVe4ap+EtFrBeuBuIyPlWv9TJVr+Vy9p909vH5CijLz6XJbT3w0sWGtnjTG/Cvw+8NtdX3MO8GJr7eZJ/1vc6ZTy1te236+JbsXQ8r96SjvrT4G8FlyW018JdNK7vwMuDj9ojHkeMAXcZoy52xjzWodtk7CpqSBgd7v8cgWNImj5X32lnfXXLq1LdeWSiRtjrgXe23X394En2n9/Cjij6/FJ4E+BjwJnAfcYY75prf1BHm2UAbpLeevrQQBPcOykZEDL/0Skj1yCuLX2RuDG8H3GmM8Du9r/3AV0pxHHgL+y1q4BPzDGPAAYQEG8CFrA6w+dLy0pqaReXS7HxO8BXgN8E7gCuKvr8YuB9wC/bIw5DXgJ8LDD9kk3RxtD68yVCNSpyl9VL0SNjVeayyD+l8BfG2PuBlaAqwGMMR8GPmut/TtjzGXGmPuADeAD1tofOmyfFECTrmPQaRv5qfqF2A7kUj3Ogri19hngDT3u/93Q3w+4ao8Ur+xHUUpFaPa/lJg2e5HCaNJ1jrQxTHQ1uhC1AUz1KIhLYTTpOicLC3DwIBw6FNwuLBTdIr/V5ULUTm6VpCAuhdFRlDnw7OAMXwoCA9vR7/CfKl6IWjdeOToARQqlSdcpdc+oTnlwRpaSzBXLY4J4pHa4uhCrOgNeCqMgLoXTpOuEekWnffu8KA0nmbSYxwTxWO3I+0L0aAa8lptVh8rpImXUr2wOXpSG484VCwfb5eXgNotRAG/mrPk0zKGx8UpRJi6SVhEl0kFlcw/GKOLOFdt6OqEzd9KOArRasLTkRWHCq2EOIAjkd94ZTBRQab/UFMRF0iiqRDosShY8RtGgxcxFy8zddSajoyNDd4rNeoJ4+G3Z2Aji5fh4gTvW+jYDfmEB7rsPvnOo8NK+pKMgLpJUkZuEeLaf+rZixKNBBJ0eG2Pf5g4WX3ElUy87Z2DTsnw6vcbBx8bgjW+EPXsKeol8er86L9DmBrPL/55Z/lCb25SYgrhIUkWXSD0om0N3MWKTmY0jTG8EHZsGSzTu+jS87AAwuH1ZPJ1WCx55JHgbwsbGYOfOgmOUJ+9X93U7y4eYHf3j4kr7koqCuEhSPpRICy6bn5z1jjDHa9nHIzR4JviiGB2bNE+n05kYHYWVle2PFVW5Pmm6hA9LMXy4biUzCuIiSflUIs1Y1Ll6PSeksc4iUyeCuIMAEe5MhE1MwOZmMW+LRyvKtuu+bldXK3Pd1pGCuEgavpRIMxQn+PRM6kYnmRppwdgOZx2bXp2JyUm44go491z3b4v3h/uEr9uHHmL2R69ilvmiWyUJKIiLpOVDiTQjcYNP72LEKI191znt2PSrEBcRwCGfJXOZ61y3e/fqvPESUxAXkS1Jgs9JxQjcr5v3bWSjdMPOOm+8tBTERQrm03baSYPPVjGiwIFgn0Y2fOtUSHUpiIsUyLfJT6mCT5Hr5tt8GtnwqVMRlUrq5aMgLl7xKSvNm6+TnxIHn6LXzXvIp07FUO2SugJ5uSiIS3G6IrZvWWnefJ78lCj4lG4gWE6isfHSURCXYnRF7NZlr2fujv3eZaWxxSglVC7meTQQXKeKTtH0WhdLQVzc6zF2unj4G4yN/QxrjGx9mS9ZaWTDSgldn3aZxLwsP0Gz+F4eDATXraKTh6gldb3WxVMQF/d6jJ1OjT7F+vomhIJ41KzUi0xg2KSuPp92qWJelp+gWX6vAgeCfZ1nUCoRx8Y7r/XqWvAH9FoXYXT4l4hE1GoF5xO3WoO/rkcdubH5NDOXrzI+Huy0NT4eLStdWICDB+HQoeB2YSHlc0iq0zEJ65QSwgF+eSm4nZvbep06+23EzsAHfM9YsvxeBRv0NkgMzebQL9Fr7Qdl4pKNOJlcnzry9PQO9u2PnpV6lXUNGuDOY9Z2Rt+z1YLFR55havQ0GhzPrn0Fqdw8A4/ptfaDgrikl2R9cJ86cpxKrFezu4cNcGf9aZfBJ+hWv2v0X7C+8pvMcCvTPJhN+wri0dy6ytNr7QcF8QpzNlacNCtMOXbqXSbQb4A7j0+7lN9zWxWDEWCCOa5i38RRGptP9/1eXsw/GMKDuXW1ode6eAriFeV01mhB0dTLTKBfxySPT7sU37NnFWNynMUrrqZx7qk9v1eZZiKXapMVj0WZpa7XulgK4hXkfKy4wGhaqkwgj0+7Yd+zT+rcu981wtS5u6HHt4t0TZUhTZfotINbKSiIV1AhY8UFRlNlAn0MSJ3j9ruGXlNlStMlOu3g5j0F8QoqbKxY0dQf7dS5tTbB4toUUyzS6Eqd4/S7Bl5THhx8IlJXWideQZ0sK+6aa6mQxUUWeAkHeS+HuIaDvJeFzReftIg36hr1gddUXguGo+47ILmbnW8W3QTpQ5l4RZVqrFgy15o8k7m117DGBGtMADC3/svsm1ztNeQdSd9rKo/STx7leY3ZJ6Oxca8piFeYqtv1tbhyKmPj69vHsMdHWVw5NXEQhz7XVNYTG/Moz2vMPh2NjXtLQVykgqamYJ3tJe4NxvKbF5FR6SeXHeQ0Zi8VpiAuUkGFrPpLWfrJbQe5PLa9FfGEgrhIRZVpXkTSHeQi8W5rP5HsaHa6SIUlOiHNtVaLxUceZ2x0c9vdo5PjLL7majhwIN349dbU+gmY3BHcarlGIpql7h9l4iJSnHYNfWr0NNZXfhPaM+lh8A5ysZWpLOErzVL3kjJxESlGaMJZY+U4M9zKOKtMTm7ms7dBKcoSnotwzri4pUxcRIrRNeFsmgfZN3GUxSuuZurc3Yq1IhEoExcvaHMu/+T+nvSYcNbYfJq9556qAO45jY37Q5m4FE77cPjHyXvi5VmyMpTGxr2iIC6Fcn5sqgzl9D3RhLNy0g5u3lA5XQqV19kZkpzz90QTzkQSUxCXQmkfDv/oPREpj3oH8ccfz3zmjiZoxaNjU/2j90SkPJyPiRtjXge8wVp7dY/HfgN4J7AG/JG19ou5NeTmm+Haa2HjDzKbuaMJWsl4OSxa82MrvXxPxC/NJrPzJJrcVvNfr0w5DeLGmI8ClwHf7fHYHuC3gPOBncDdxpgvW2uXM2/I448HAfzZZ4Gl4L6UM3c0QSsdr45NrVFvbNCHab/3RB/AsiVBIK/Rr5cTrjPxe4G/Jci2u/08cE87aC8bY44APwvcn3krHnssqBM+++yJ+1KearS1b0X4/GYdlFQ+NTq2MsmHqT6AJY3Or9fqWvAHKvvr5UwuQdwYcy3w3q67326t/bQxptnnv50OPBH691PAGTk0D84+G1ZWtt+XcuaOJgNVRE2OrUxSOVK1SdLq/HqtKtnJTC5B3Fp7I3BjzP/2JLAr9O9dQD6LWnbvhhtvDErq6zsy2WRC+1ZURE16Y0kqR6o2SVo1+fVyyqfNXr4J/EdjzE5gB7AfeDC3n/bmN8PFF8MHVjIb3NNkoAqoSW8syYepPoAlrUx/vTQ5A/AgiBtj3gccsdbOGWM+BtxFsPTt96y1S7n+8N27YW+239KrCVqSTA16Y0k+TGvSv5G4Yk5uy+TXS5MztjgP4tbaeWA+9O8/C/39BuAG120SOUkNemNJPkxd9m+UaJVIzECe6tdLkzO2KTwTFwnTB7dbST5MXfRvlGhJX5qcsY2CuHhDH9wCSrRkCE3O2Kbe266KN8If3MvLwe3cnLavrSMdiiMDaV/gbZSJixdUIZMOJVrl5eyM8RpMPo1Kmbh4QR/c0qFEq6SaTSAI5E7oCFtAmbh4QsuXJEyJVkk1mzA/X3QrakVBXLyhD24Jq8EqP/e0/KNyFMTFK/rgFsmJln9UksbERUSqLnw63/JScKvlH5WgIC6SRqsFR4/qw1D8pnV7laVyukSiobQeVJ6UstDyj8pSJi5DLSzAwYNw6FBwu7BQdIs8UJHypAoJNbG1bm8CJncEtzku/3C2zEyUictg2gKzj63daVZP3Fey3WlUSKgZV8s/2svMnG38UnPKxGUgDaX1UfLypLa5rSlXG6S0N36R/CmIy0Alj1X5cVyezJo6ZyLVoHK6DKSd1AYo8e406pyJVIOCuAxV4liVv5LuTqPOmUg1KIhLJCWNVTKAOmeSN01uy5/GxEVqTAdBSW5cn2pWUwriIiKSD81Sz52CuIiISEkpiIuIiJSUgriIiEhJKYiLiIiUlIK4iIhISSmIi4iIlJSCuIiISEqtFtx/Pzz+uNufqyAuIiK5qvqGLwsLcPAgXHIJvOAFcPPN7n62griIiOSn4ju3dY71XV2DJ56AZ5+Fa691l5EriIuISL4qvHNbr2N9Jybgscfc/HwFcRERkYR6Heu7ugpnn+3m5yuIi4iIJNQ51ndiHE4/HU45BW68EXbvdvPzdRSpiIhICp1jfS99Y5CBuwrgoCAuIiKSWqMBF1zg/ueqnC4iIlJSCuIiIiIlpSAuIiJSUgriIiLiRFU3fCmSgriIiOSv4ju3FUVBXERE3Kjwzm1FURAXkeppteDo0eBWpMK0TlxEqmVhITiRYmws2A9zZibYjUOkgpSJi0h1dI6UWluF5aXgdm5OGblUloK4iFRHryOlRkeD+0UqSEFcJCqNs/qv15FSGxvB/SIVpDFxkSg0zloOnSOl5uaCDHxjI/h3o1F0y0Ry4TyIG2NeB7zBWnt1j8c+BrwCeKp911XW2idctk/kJOFx1rXV4L65ueDYojoEh1YrKEdPTZXj+XaOlCpTm0USchrEjTEfBS4DvtvnS14KXGat/aG7VokM0Rln7QRwODHOWvUAUdYKRKNR/fdGBPdj4vcC7+71gDFmFDgXuN4Yc48x5tedtkykn7qOs2qmt4j3cgnixphrjTEPdv25wFr7aWCzz39rAH8OvBW4HPhNY8zP5tE+kVg646zjEzC5I7itwzirZnpLTrT1anZyKadba28Eboz5354BPmqtfQbAGPP3wM8B/5hx80Tiq+M4a10rEJKvZhPm55mdbzLbnC+6NaXn0xKzFwF3G2PGjDETwCuB7xTcJpETGg3Yu7ceARzqW4GQ/GkP9cwUvsTMGPM+4Ii1ds4Y80ngPmAV+IS19qFiWydSc3WsQIiUiPMgbq2dB+ZD//6z0N8/DHzYdZtEZADN9Bbxlk/ldBEREYlBQVxERKSkFMRFRERKSkFcRESkpBTERURESkpBXEREpKQUxEVEREpKQVxERKSkFMRFRERKSkFcRESkpBTERSRfrRYcPapzyEVyUPgBKCJSYQsLMDcXnEu+vh6cgjY9XXSrRCpDmbiI5KPVCgL42iosLwW3c3PKyEUyVPtMfHa26BaIVNT9/zfc8CfwxBMn7jv1dHjjpXDBBcW1SzzRbP+RNJSJi0g+zj4bVla237e6GtwvIplQEBeRfOzeDTfeCKecAqefHtzeeGNwv4hkovbldBHJ0ZvfDBdfDI89FmTgCuAimVIQF5F87d6t4C2SE5XTRURESkpBXEREpKQUxEVEREpKQVxERKSkFMRFRERKSkFcRESkpBTERURESkpBXEREpKQUxEVEREpKQVxERKSkFMRFRERKSkFcRESkpBTERURESkpBXEREpKTKdBTpGMCxY8eKboeIiIgToZg31uvxMgXx5wO85S1vKbodIiIirj0f+OfuO8sUxO8HLgK+B6wX3BYREREXxggC+P29HhzZ3Nx02xwRERHJhCa2iYiIlJSCuIiISEmVaUzcW8aY1wFvsNZe3eOxjwGvAJ5q33WVtfYJl+1LY8hz+w3gncAa8EfW2i+6bl9SxphTgL8Bnkvw3vyatfbxrq+ZA54DrALPWmuvcN7QGIwxo8DHgZ8DloF3WGuPhB4v8/s17LmV+vcMwBjzC8B/ttY2u+6/EvgDgvftJmvtDQU0L5UBz+19wLVA53fvndZa67h5iRljJoCbgLOBHQS/V3Ohx3N/7xTEUzLGfBS4DPhuny95KXCZtfaH7lqVjUHPzRizB/gt4HxgJ3C3MebL1tplt61M7N3AgrV21hjzq8DvA7/d9TXnAC+21pZl4sivADuttRcaY14O/ClwFVTi/er73NpK+3sGYIz5XeBtQKvr/gngI8AF7cfuMcbcZq0tzVrbfs+t7aXANdbab7ttVWbeCvzIWvs2Y8xzgAeAOXD33qmcnt69BAHhJO3s4VzgemPMPcaYX3fasvT6Pjfg54F7rLXL7YznCPCzzlqW3iuBw+2//x1wcfhBY8zzgCngNmPM3caY1zpuXxJbz8laex9BwO6ozPvV/dwq8HsGwdKh1/e4fz9wxFp73Fq7AtxNsEqnTPo9N4CXAe9v/46932GbsvIZ4IOhf6+F/u7kvVMmHpEx5lrgvV13v91a+2ljTLPPf2sAfw78GcEyga8ZY75lrf3H/FoaX8LndjoQLlc+BZyRQ/NS6/P8vs+J9vdq+yRBtvdR4CyCXvQ3rbU/yLOtKXW/J+vGmHFr7VqPx7x9v/oY9NxK8Xs2iLX2c8aYs3s8VPb3bdBzA7gF+K/Ak8AXjDGvLdMwj7X2aQBjzC7gswQVvQ4n752CeETW2huBG2P+t2eAj1prnwEwxvw9wZieVx8uCZ/bk8Cu0L93AYuZNSpDvZ6fMebznGh/r7YfA/6qHSR+YIx5ADCAz0G8+z0Zbbe/12Pevl99DHpupfg9S6js71tfxpgR4GBn7oIx5nbgPKA0QRzAGPNTwBeAj1trPxV6yMl7p3J6vl5EMPY41h4feSXwnYLblJVvAhcZY3YaY84gKB09WHCb4rgHeE3771cAd3U9fqvLsKwAAAJVSURBVDHwPwCMMacBLwEedta6ZLaeU3vceCH0WGXerx7Prcq/Zw8D5xpjzjLGTAKvAr5RcJuycjrwoDHmtHZA/yWgVGPj7WG3O4H/w1p7U9fDTt47ZeI5aM+4PGKtnTPGfBK4j2CG8yestQ8V27p0up7bxwiC3yjwe9bapWJbF8tfAn9tjLkbWAGuBjDGfBj4rLX274wxlxlj7gM2gA+UYNLUF4BLjDH3AiPA2yv0fg17blX7PbsaOM1ae337ed5B8L7dZK09Wmzr0ul6bh8Avkaw4uCr1tovFdu62D4AnAl80BjTGRu/AWi4eu+0Y5uIiEhJqZwuIiJSUgriIiIiJaUgLiIiUlIK4iIiIiWlIC4iIlJSCuIiNWaMaRpjbsng+xwwxvynLNokItFpnbiIJNY+De4G4BeAzxXcHJHaURAXkW2MMf8G+HcEm6oA/BvgRwR7XJ9PsCXtvwSuJNgb+hPAV4Cfcd5YkZpTOV1Eur0I+OX22c+W4DjaGeA51tqfJzj/+acA2ic03VlUQ0XqTkFcRLr9gGBL2v9OcFzpBMFe698AsNY+DvxTcc0TkQ4FcRHZ0j4c5Q+BXwXeATxLUFZ/ELiw/TVnEmTrIlIwjYmLyKXGmG+1/z4C/E+CU8BawHHgJ4D/E7iifQDJMYLjP1fdN1VEwnQAiogMZYz5GeBfWWtvMcY8B3gIeIG1drngponUmoK4iAxljGkAnwKeB4wBf2Gt/etiWyUiCuIiIiIlpYltIiIiJaUgLiIiUlIK4iIiIiWlIC4iIlJSCuIiIiIl9f8Dpk3Pu6umeLkAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print_classification_statistics(qda, X_test2, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(qda, X_test2, y_test, label='QDA Train/Test, only Lag1 and Lag2')\n", - "plot_classification(qda, X_test2, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4.6.5 K-Nearest Neighbors" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n", - " metric_params=None, n_jobs=1, n_neighbors=3, p=2,\n", - " weights='uniform')" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "n_neighbors = 3\n", - "knn = neighbors.KNeighborsClassifier(n_neighbors)\n", - "knn.fit(X_train2, y_train)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " Down 0.466 0.432 0.449 111\n", - " Up 0.577 0.610 0.593 141\n", - "\n", - "avg / total 0.528 0.532 0.529 252\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.432432 0.567568\n", - " False 0.390071 0.609929\n", - "\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print_classification_statistics(knn, X_test2, y_test, labels=['Down', 'Up'])\n", - "plot_ROC(knn, X_test2, y_test, label='KNN Train/Test, only Lag1 and Lag2')\n", - "plot_classification(knn, X_test2, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4.6.6 An Application to Caravan Insurance Data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### KNN" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Unnamed: 0MOSTYPEMAANTHUIMGEMOMVMGEMLEEFMOSHOOFDMGODRKMGODPRMGODOVMGODGE...APERSONGAGEZONGAWAOREGABRANDAZEILPLAPLEZIERAFIETSAINBOEDABYSTANDPurchase
013313280513...000100000No
123712281414...000100000No
233712280424...000100000No
34913332324...000100000No
4540142101414...000100000No
\n", - "

5 rows × 87 columns

\n", - "
" - ], - "text/plain": [ - " Unnamed: 0 MOSTYPE MAANTHUI MGEMOMV MGEMLEEF MOSHOOFD MGODRK MGODPR \\\n", - "0 1 33 1 3 2 8 0 5 \n", - "1 2 37 1 2 2 8 1 4 \n", - "2 3 37 1 2 2 8 0 4 \n", - "3 4 9 1 3 3 3 2 3 \n", - "4 5 40 1 4 2 10 1 4 \n", - "\n", - " MGODOV MGODGE ... APERSONG AGEZONG AWAOREG ABRAND AZEILPL \\\n", - "0 1 3 ... 0 0 0 1 0 \n", - "1 1 4 ... 0 0 0 1 0 \n", - "2 2 4 ... 0 0 0 1 0 \n", - "3 2 4 ... 0 0 0 1 0 \n", - "4 1 4 ... 0 0 0 1 0 \n", - "\n", - " APLEZIER AFIETS AINBOED ABYSTAND Purchase \n", - "0 0 0 0 0 No \n", - "1 0 0 0 0 No \n", - "2 0 0 0 0 No \n", - "3 0 0 0 0 No \n", - "4 0 0 0 0 No \n", - "\n", - "[5 rows x 87 columns]" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_caravan = pd.read_csv('Data/Caravan.csv')\n", - "df_caravan['Purchase'] = df_caravan['Purchase'].astype('category')\n", - "df_caravan.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "No 5474\n", - "Yes 348\n", - "Name: Purchase, dtype: int64" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_caravan['Purchase'].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "y = df_caravan.Purchase\n", - "X = df_caravan.drop('Purchase', axis=1).astype('float64')\n", - "X_scaled = preprocessing.scale(X)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "X_test = X_scaled[:1000]\n", - "y_test = y[:1000]\n", - "X_train = X_scaled[1000:]\n", - "y_train = y[1000:]" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using 1 neighbors\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.948 0.937 0.943 941\n", - " Yes 0.157 0.186 0.171 59\n", - "\n", - "avg / total 0.902 0.893 0.897 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.937301 0.062699\n", - " False 0.813559 0.186441\n", - "\n", - "Using 3 neighbors\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.946 0.979 0.962 941\n", - " Yes 0.231 0.102 0.141 59\n", - "\n", - "avg / total 0.903 0.927 0.913 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.978746 0.021254\n", - " False 0.898305 0.101695\n", - "\n", - "Using 5 neighbors\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.944 0.993 0.968 941\n", - " Yes 0.364 0.068 0.114 59\n", - "\n", - "avg / total 0.910 0.938 0.918 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.992561 0.007439\n", - " False 0.932203 0.067797\n", - "\n" - ] - } - ], - "source": [ - "for i in [1, 3, 5]:\n", - " print(f'Using {i} neighbors')\n", - " knn = neighbors.KNeighborsClassifier(n_neighbors=i)\n", - " knn.fit(X_train, y_train)\n", - " print_classification_statistics(knn, X_test, y_test, labels=['No', 'Yes'])\n", - " #plot_ROC(knn, X_test, y_test, label='KNN')\n", - " #skplt.metrics.plot_confusion_matrix(y_test, knn.predict(X_test), normalize=False)\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Logistic" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " No 0.941 0.994 0.966 941\n", - " Yes 0.000 0.000 0.000 59\n", - "\n", - "avg / total 0.885 0.935 0.909 1000\n", - "\n", - "Confusion Matrix:\n", - " Predicted \n", - " True False\n", - "Real True 0.993624 0.006376\n", - " False 1.000000 0.000000\n", - "\n" - ] - } - ], - "source": [ - "logistic = skl_lm.LogisticRegression(C=1e10)\n", - "logistic.fit(X_train, y_train)\n", - "print_classification_statistics(logistic, X_test, y_test, labels=['No', 'Yes'])" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " precision recall f1-score support\n", - "\n", - " No 0.95 0.98 0.96 941\n", - " Yes 0.34 0.19 0.24 59\n", - "\n", - "avg / total 0.91 0.93 0.92 1000\n", - "\n", - "Pred No Yes\n", - "True \n", - "No 920 21\n", - "Yes 48 11\n" - ] - } - ], - "source": [ - "# using 25% changes of buying instead of 50%\n", - "pred_p = logistic.predict_proba(X_test)\n", - "cm_df = pd.DataFrame({'True': y_test, 'Pred': pred_p[:,1] > .25})\n", - "cm_df.Pred.replace(to_replace={True:'Yes', False:'No'}, inplace=True)\n", - "print(classification_report(y_test, cm_df.Pred))\n", - "print(cm_df.groupby(['True', 'Pred']).size().unstack('True').T)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "state": { - "013d5d7b1aa446d190005ec1533089c0": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.0.0", - "model_name": "LayoutModel", - "state": {} - }, - "04d85ef6d6bf40b5bc00c8405e54764b": { - "model_module": "@jupyter-widgets/output", - "model_module_version": "1.0.0", - "model_name": "OutputModel", - "state": { - "layout": "IPY_MODEL_2c8bb972c2e5454bbe1cc7b674889caa", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": "Bayes accuracy: 93.4 82.2\nLDA accuracy: 94.0 81.6\n" - }, - { - "data": { - "image/png": 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\n", 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-write(exportJSON,"Khan.json") -load("~/Desktop/ISL_python/data/NCI60.rda") -exportJSON <- toJSON(NCI60) -write(exportJSON,"NCI60.json") -test = Khan$xtrain -View(test) -names(Khan) diff --git a/Data/Advertising.csv b/Data/Advertising.csv index 6acec72..9547f43 100644 --- a/Data/Advertising.csv +++ b/Data/Advertising.csv @@ -1,201 +1,201 @@ -"","TV","Radio","Newspaper","Sales" -"1",230.1,37.8,69.2,22.1 -"2",44.5,39.3,45.1,10.4 -"3",17.2,45.9,69.3,9.3 -"4",151.5,41.3,58.5,18.5 -"5",180.8,10.8,58.4,12.9 -"6",8.7,48.9,75,7.2 -"7",57.5,32.8,23.5,11.8 -"8",120.2,19.6,11.6,13.2 -"9",8.6,2.1,1,4.8 -"10",199.8,2.6,21.2,10.6 -"11",66.1,5.8,24.2,8.6 -"12",214.7,24,4,17.4 -"13",23.8,35.1,65.9,9.2 -"14",97.5,7.6,7.2,9.7 -"15",204.1,32.9,46,19 -"16",195.4,47.7,52.9,22.4 -"17",67.8,36.6,114,12.5 -"18",281.4,39.6,55.8,24.4 -"19",69.2,20.5,18.3,11.3 -"20",147.3,23.9,19.1,14.6 -"21",218.4,27.7,53.4,18 -"22",237.4,5.1,23.5,12.5 -"23",13.2,15.9,49.6,5.6 -"24",228.3,16.9,26.2,15.5 -"25",62.3,12.6,18.3,9.7 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78 2 "volkswagen rabbit custom diesel" +36.1 4 98.00 66.00 1800. 14.4 78 1 "ford fiesta" +32.8 4 78.00 52.00 1985. 19.4 78 3 "mazda glc deluxe" +39.4 4 85.00 70.00 2070. 18.6 78 3 "datsun b210 gx" +36.1 4 91.00 60.00 1800. 16.4 78 3 "honda civic cvcc" +19.9 8 260.0 110.0 3365. 15.5 78 1 "oldsmobile cutlass salon brougham" +19.4 8 318.0 140.0 3735. 13.2 78 1 "dodge diplomat" +20.2 8 302.0 139.0 3570. 12.8 78 1 "mercury monarch ghia" +19.2 6 231.0 105.0 3535. 19.2 78 1 "pontiac phoenix lj" +20.5 6 200.0 95.00 3155. 18.2 78 1 "chevrolet malibu" +20.2 6 200.0 85.00 2965. 15.8 78 1 "ford fairmont (auto)" +25.1 4 140.0 88.00 2720. 15.4 78 1 "ford fairmont (man)" +20.5 6 225.0 100.0 3430. 17.2 78 1 "plymouth volare" +19.4 6 232.0 90.00 3210. 17.2 78 1 "amc concord" +20.6 6 231.0 105.0 3380. 15.8 78 1 "buick century special" +20.8 6 200.0 85.00 3070. 16.7 78 1 "mercury zephyr" +18.6 6 225.0 110.0 3620. 18.7 78 1 "dodge aspen" +18.1 6 258.0 120.0 3410. 15.1 78 1 "amc concord d/l" +19.2 8 305.0 145.0 3425. 13.2 78 1 "chevrolet monte carlo landau" +17.7 6 231.0 165.0 3445. 13.4 78 1 "buick regal sport coupe (turbo)" +18.1 8 302.0 139.0 3205. 11.2 78 1 "ford futura" +17.5 8 318.0 140.0 4080. 13.7 78 1 "dodge magnum xe" +30.0 4 98.00 68.00 2155. 16.5 78 1 "chevrolet chevette" +27.5 4 134.0 95.00 2560. 14.2 78 3 "toyota corona" +27.2 4 119.0 97.00 2300. 14.7 78 3 "datsun 510" +30.9 4 105.0 75.00 2230. 14.5 78 1 "dodge omni" +21.1 4 134.0 95.00 2515. 14.8 78 3 "toyota celica gt liftback" +23.2 4 156.0 105.0 2745. 16.7 78 1 "plymouth sapporo" +23.8 4 151.0 85.00 2855. 17.6 78 1 "oldsmobile starfire sx" +23.9 4 119.0 97.00 2405. 14.9 78 3 "datsun 200-sx" +20.3 5 131.0 103.0 2830. 15.9 78 2 "audi 5000" +17.0 6 163.0 125.0 3140. 13.6 78 2 "volvo 264gl" +21.6 4 121.0 115.0 2795. 15.7 78 2 "saab 99gle" +16.2 6 163.0 133.0 3410. 15.8 78 2 "peugeot 604sl" +31.5 4 89.00 71.00 1990. 14.9 78 2 "volkswagen scirocco" +29.5 4 98.00 68.00 2135. 16.6 78 3 "honda accord lx" +21.5 6 231.0 115.0 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3530. 20.1 79 2 "mercedes benz 300d" +23.0 8 350.0 125.0 3900. 17.4 79 1 "cadillac eldorado" +27.2 4 141.0 71.00 3190. 24.8 79 2 "peugeot 504" +23.9 8 260.0 90.00 3420. 22.2 79 1 "oldsmobile cutlass salon brougham" +34.2 4 105.0 70.00 2200. 13.2 79 1 "plymouth horizon" +34.5 4 105.0 70.00 2150. 14.9 79 1 "plymouth horizon tc3" +31.8 4 85.00 65.00 2020. 19.2 79 3 "datsun 210" +37.3 4 91.00 69.00 2130. 14.7 79 2 "fiat strada custom" +28.4 4 151.0 90.00 2670. 16.0 79 1 "buick skylark limited" +28.8 6 173.0 115.0 2595. 11.3 79 1 "chevrolet citation" +26.8 6 173.0 115.0 2700. 12.9 79 1 "oldsmobile omega brougham" +33.5 4 151.0 90.00 2556. 13.2 79 1 "pontiac phoenix" +41.5 4 98.00 76.00 2144. 14.7 80 2 "vw rabbit" +38.1 4 89.00 60.00 1968. 18.8 80 3 "toyota corolla tercel" +32.1 4 98.00 70.00 2120. 15.5 80 1 "chevrolet chevette" +37.2 4 86.00 65.00 2019. 16.4 80 3 "datsun 310" +28.0 4 151.0 90.00 2678. 16.5 80 1 "chevrolet citation" +26.4 4 140.0 88.00 2870. 18.1 80 1 "ford fairmont" +24.3 4 151.0 90.00 3003. 20.1 80 1 "amc concord" +19.1 6 225.0 90.00 3381. 18.7 80 1 "dodge aspen" +34.3 4 97.00 78.00 2188. 15.8 80 2 "audi 4000" +29.8 4 134.0 90.00 2711. 15.5 80 3 "toyota corona liftback" +31.3 4 120.0 75.00 2542. 17.5 80 3 "mazda 626" +37.0 4 119.0 92.00 2434. 15.0 80 3 "datsun 510 hatchback" +32.2 4 108.0 75.00 2265. 15.2 80 3 "toyota corolla" +46.6 4 86.00 65.00 2110. 17.9 80 3 "mazda glc" +27.9 4 156.0 105.0 2800. 14.4 80 1 "dodge colt" +40.8 4 85.00 65.00 2110. 19.2 80 3 "datsun 210" +44.3 4 90.00 48.00 2085. 21.7 80 2 "vw rabbit c (diesel)" +43.4 4 90.00 48.00 2335. 23.7 80 2 "vw dasher (diesel)" +36.4 5 121.0 67.00 2950. 19.9 80 2 "audi 5000s (diesel)" +30.0 4 146.0 67.00 3250. 21.8 80 2 "mercedes-benz 240d" +44.6 4 91.00 67.00 1850. 13.8 80 3 "honda civic 1500 gl" +40.9 4 85.00 ? 1835. 17.3 80 2 "renault lecar deluxe" +33.8 4 97.00 67.00 2145. 18.0 80 3 "subaru dl" +29.8 4 89.00 62.00 1845. 15.3 80 2 "vokswagen rabbit" +32.7 6 168.0 132.0 2910. 11.4 80 3 "datsun 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20.7 81 1 "ford escort 2h" +33.0 4 105.0 74.00 2190. 14.2 81 2 "volkswagen jetta" +34.5 4 100.0 ? 2320. 15.8 81 2 "renault 18i" +33.7 4 107.0 75.00 2210. 14.4 81 3 "honda prelude" +32.4 4 108.0 75.00 2350. 16.8 81 3 "toyota corolla" +32.9 4 119.0 100.0 2615. 14.8 81 3 "datsun 200sx" +31.6 4 120.0 74.00 2635. 18.3 81 3 "mazda 626" +28.1 4 141.0 80.00 3230. 20.4 81 2 "peugeot 505s turbo diesel" +30.7 6 145.0 76.00 3160. 19.6 81 2 "volvo diesel" +25.4 6 168.0 116.0 2900. 12.6 81 3 "toyota cressida" +24.2 6 146.0 120.0 2930. 13.8 81 3 "datsun 810 maxima" +22.4 6 231.0 110.0 3415. 15.8 81 1 "buick century" +26.6 8 350.0 105.0 3725. 19.0 81 1 "oldsmobile cutlass ls" +20.2 6 200.0 88.00 3060. 17.1 81 1 "ford granada gl" +17.6 6 225.0 85.00 3465. 16.6 81 1 "chrysler lebaron salon" +28.0 4 112.0 88.00 2605. 19.6 82 1 "chevrolet cavalier" +27.0 4 112.0 88.00 2640. 18.6 82 1 "chevrolet cavalier wagon" +34.0 4 112.0 88.00 2395. 18.0 82 1 "chevrolet cavalier 2-door" +31.0 4 112.0 85.00 2575. 16.2 82 1 "pontiac j2000 se hatchback" +29.0 4 135.0 84.00 2525. 16.0 82 1 "dodge aries se" +27.0 4 151.0 90.00 2735. 18.0 82 1 "pontiac phoenix" +24.0 4 140.0 92.00 2865. 16.4 82 1 "ford fairmont futura" +36.0 4 105.0 74.00 1980. 15.3 82 2 "volkswagen rabbit l" +37.0 4 91.00 68.00 2025. 18.2 82 3 "mazda glc custom l" +31.0 4 91.00 68.00 1970. 17.6 82 3 "mazda glc custom" +38.0 4 105.0 63.00 2125. 14.7 82 1 "plymouth horizon miser" +36.0 4 98.00 70.00 2125. 17.3 82 1 "mercury lynx l" +36.0 4 120.0 88.00 2160. 14.5 82 3 "nissan stanza xe" +36.0 4 107.0 75.00 2205. 14.5 82 3 "honda accord" +34.0 4 108.0 70.00 2245 16.9 82 3 "toyota corolla" +38.0 4 91.00 67.00 1965. 15.0 82 3 "honda civic" +32.0 4 91.00 67.00 1965. 15.7 82 3 "honda civic (auto)" +38.0 4 91.00 67.00 1995. 16.2 82 3 "datsun 310 gx" +25.0 6 181.0 110.0 2945. 16.4 82 1 "buick century limited" +38.0 6 262.0 85.00 3015. 17.0 82 1 "oldsmobile cutlass ciera (diesel)" +26.0 4 156.0 92.00 2585. 14.5 82 1 "chrysler lebaron medallion" +22.0 6 232.0 112.0 2835 14.7 82 1 "ford granada l" +32.0 4 144.0 96.00 2665. 13.9 82 3 "toyota celica gt" +36.0 4 135.0 84.00 2370. 13.0 82 1 "dodge charger 2.2" +27.0 4 151.0 90.00 2950. 17.3 82 1 "chevrolet camaro" +27.0 4 140.0 86.00 2790. 15.6 82 1 "ford mustang gl" +44.0 4 97.00 52.00 2130. 24.6 82 2 "vw pickup" +32.0 4 135.0 84.00 2295. 11.6 82 1 "dodge rampage" +28.0 4 120.0 79.00 2625. 18.6 82 1 "ford ranger" +31.0 4 119.0 82.00 2720. 19.4 82 1 "chevy s-10" diff --git a/Data/Bikeshare.csv b/Data/Bikeshare.csv new file mode 100644 index 0000000..c030994 --- /dev/null +++ b/Data/Bikeshare.csv @@ -0,0 +1,8646 @@ +"","season","mnth","day","hr","holiday","weekday","workingday","weathersit","temp","atemp","hum","windspeed","casual","registered","bikers" +"1",1,"Jan",1,"0",0,6,0,"clear",0.24,0.2879,0.81,0,3,13,16 +"2",1,"Jan",1,"1",0,6,0,"clear",0.22,0.2727,0.8,0,8,32,40 +"3",1,"Jan",1,"2",0,6,0,"clear",0.22,0.2727,0.8,0,5,27,32 +"4",1,"Jan",1,"3",0,6,0,"clear",0.24,0.2879,0.75,0,3,10,13 +"5",1,"Jan",1,"4",0,6,0,"clear",0.24,0.2879,0.75,0,0,1,1 +"6",1,"Jan",1,"5",0,6,0,"cloudy/misty",0.24,0.2576,0.75,0.0896,0,1,1 +"7",1,"Jan",1,"6",0,6,0,"clear",0.22,0.2727,0.8,0,2,0,2 +"8",1,"Jan",1,"7",0,6,0,"clear",0.2,0.2576,0.86,0,1,2,3 +"9",1,"Jan",1,"8",0,6,0,"clear",0.24,0.2879,0.75,0,1,7,8 +"10",1,"Jan",1,"9",0,6,0,"clear",0.32,0.3485,0.76,0,8,6,14 +"11",1,"Jan",1,"10",0,6,0,"clear",0.38,0.3939,0.76,0.2537,12,24,36 +"12",1,"Jan",1,"11",0,6,0,"clear",0.36,0.3333,0.81,0.2836,26,30,56 +"13",1,"Jan",1,"12",0,6,0,"clear",0.42,0.4242,0.77,0.2836,29,55,84 +"14",1,"Jan",1,"13",0,6,0,"cloudy/misty",0.46,0.4545,0.72,0.2985,47,47,94 +"15",1,"Jan",1,"14",0,6,0,"cloudy/misty",0.46,0.4545,0.72,0.2836,35,71,106 +"16",1,"Jan",1,"15",0,6,0,"cloudy/misty",0.44,0.4394,0.77,0.2985,40,70,110 +"17",1,"Jan",1,"16",0,6,0,"cloudy/misty",0.42,0.4242,0.82,0.2985,41,52,93 +"18",1,"Jan",1,"17",0,6,0,"cloudy/misty",0.44,0.4394,0.82,0.2836,15,52,67 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+"3","Female","Meningioma","Infratentorial",70,7.95,"SRS",0,26.46 +"4","Female","LG glioma","Supratentorial",80,7.61,"SRT",1,47.8 +"5","Male","HG glioma","Supratentorial",90,5.06,"SRT",1,6.3 +"6","Female","Meningioma","Supratentorial",80,4.82,"SRS",0,52.75 +"7","Male","Meningioma","Supratentorial",80,3.19,"SRT",0,55.8 +"8","Male","LG glioma","Supratentorial",80,12.37,"SRT",0,42.1 +"9","Female","Meningioma","Supratentorial",70,12.16,"SRT",0,34.66 +"10","Male","HG glioma","Supratentorial",100,2.53,"SRT",0,11.48 +"11","Male","LG glioma","Supratentorial",80,0.14,"SRT",1,35.93 +"12","Female","Meningioma","Infratentorial",90,6.54,"SRS",0,34.26 +"13","Female","Meningioma","Infratentorial",90,0.63,"SRS",0,32.98 +"14","Male",NA,"Supratentorial",90,6.38,"SRT",0,50.85 +"15","Female","Meningioma","Supratentorial",60,9.18,"SRT",0,41.44 +"16","Female","HG glioma","Supratentorial",70,11.38,"SRS",1,7.05 +"17","Female","Other","Infratentorial",60,24,"SRT",1,6.82 +"18","Male","HG glioma","Supratentorial",90,10.8,"SRT",0,82.56 +"19","Male","Meningioma","Supratentorial",80,13.49,"SRS",1,6.92 +"20","Female","Meningioma","Supratentorial",90,2.5,"SRT",0,30.16 +"21","Female","Meningioma","Supratentorial",80,2.82,"SRS",0,24.39 +"22","Male","HG glioma","Supratentorial",70,14.44,"SRT",1,14 +"23","Female","Other","Infratentorial",80,2.11,"SRS",0,10.49 +"24","Female","Meningioma","Infratentorial",100,2.13,"SRS",1,51.02 +"25","Female","Meningioma","Supratentorial",70,6.48,"SRT",1,33.41 +"26","Male","LG glioma","Supratentorial",90,4.23,"SRT",1,25.02 +"27","Male","Other","Supratentorial",60,34.64,"SRT",1,11.57 +"28","Male","HG glioma","Supratentorial",70,33.69,"SRT",1,0.07 +"29","Male","Meningioma","Supratentorial",60,3.81,"SRT",0,36.1 +"30","Female","Meningioma","Supratentorial",90,4.72,"SRS",0,65.02 +"31","Female","LG glioma","Supratentorial",80,0.85,"SRS",1,6.1 +"32","Male","Meningioma","Supratentorial",90,2.56,"SRS",0,44.39 +"33","Female","Other","Infratentorial",70,13.45,"SRT",1,10.82 +"34","Male","Other","Infratentorial",80,6.81,"SRS",0,57.11 +"35","Female","Meningioma","Supratentorial",90,7.3,"SRT",0,5.51 +"36","Female","Other","Supratentorial",70,14.26,"SRT",0,7.18 +"37","Female","Meningioma","Supratentorial",80,6.6,"SRT",0,14.75 +"38","Male","HG glioma","Supratentorial",90,9.95,"SRT",1,6.23 +"39","Male","Other","Infratentorial",80,12.51,"SRT",1,29.7 +"40","Female","Meningioma","Supratentorial",90,2.54,"SRT",0,45.74 +"41","Female","Meningioma","Supratentorial",80,1.57,"SRT",0,2.03 +"42","Male","HG glioma","Supratentorial",90,0.28,"SRT",1,16.43 +"43","Female","Meningioma","Supratentorial",70,6.7,"SRT",0,14.56 +"44","Male","Meningioma","Supratentorial",80,12.63,"SRT",1,4.16 +"45","Male","Other","Infratentorial",90,3.12,"SRT",0,18.95 +"46","Male","Meningioma","Supratentorial",60,7.09,"SRS",1,31.25 +"47","Male","HG glioma","Supratentorial",80,29.27,"SRT",0,5.15 +"48","Female","Meningioma","Supratentorial",80,26.31,"SRT",1,39.54 +"49","Male","Meningioma","Supratentorial",70,0.97,"SRT",1,1.41 +"50","Female","LG glioma","Supratentorial",80,0.19,"SRS",0,11.51 +"51","Female","HG glioma","Supratentorial",90,0.04,"SRT",0,31.67 +"52","Female","Meningioma","Infratentorial",90,9.24,"SRT",0,26.85 +"53","Male","HG glioma","Supratentorial",90,2.5,"SRT",1,9.77 +"54","Male","Meningioma","Infratentorial",80,24.41,"SRT",0,39.54 +"55","Female","HG glioma","Supratentorial",80,0.63,"SRT",1,16.92 +"56","Male","Other","Infratentorial",90,0.48,"SRS",0,54.43 +"57","Male","HG glioma","Infratentorial",80,0.22,"SRS",0,33.67 +"58","Male","HG glioma","Supratentorial",80,3.75,"SRT",1,19.9 +"59","Female","Other","Supratentorial",80,11.83,"SRT",1,22.03 +"60","Female","Meningioma","Supratentorial",90,2.47,"SRT",0,17.57 +"61","Female","HG glioma","Supratentorial",80,12.08,"SRT",1,7.25 +"62","Male","Meningioma","Supratentorial",80,11.51,"SRT",1,14.62 +"63","Female","HG glioma","Supratentorial",40,22.87,"SRT",1,3.38 +"64","Male","Meningioma","Supratentorial",80,4.77,"SRT",0,67.38 +"65","Male","LG glioma","Supratentorial",80,9.58,"SRT",0,78.75 +"66","Female","Meningioma","Supratentorial",100,4,"SRT",0,52.23 +"67","Female","HG glioma","Supratentorial",80,7.59,"SRT",1,4.56 +"68","Male","Other","Infratentorial",70,0.01,"SRS",0,23.67 +"69","Female","Meningioma","Supratentorial",80,6.93,"SRS",0,10.1 +"70","Female","Meningioma","Supratentorial",70,3.63,"SRT",0,32.82 +"71","Male","Meningioma","Supratentorial",70,8.45,"SRT",0,19.41 +"72","Male","Meningioma","Supratentorial",80,20.93,"SRT",1,31.15 +"73","Male","LG glioma","Supratentorial",90,2.64,"SRT",0,20.13 +"74","Female","HG glioma","Supratentorial",80,0.19,"SRT",1,11.02 +"75","Male","Other","Supratentorial",100,24.91,"SRT",0,19.74 +"76","Female","Meningioma","Supratentorial",80,31.74,"SRT",0,57.25 +"77","Female","Meningioma","Supratentorial",80,2.39,"SRS",0,73.74 +"78","Female","Meningioma","Supratentorial",90,7.26,"SRT",0,49.05 +"79","Female","Meningioma","Supratentorial",100,9.66,"SRT",0,39.25 +"80","Female","Meningioma","Infratentorial",70,2.94,"SRS",0,1.54 +"81","Female","HG glioma","Supratentorial",80,15.45,"SRT",1,46.16 +"82","Female","Other","Supratentorial",90,1.82,"SRT",0,47.11 +"83","Male","LG glioma","Infratentorial",90,30.41,"SRT",0,1.18 +"84","Male","HG glioma","Supratentorial",80,0.16,"SRT",1,20.69 +"85","Male","HG glioma","Supratentorial",80,19.81,"SRT",1,6.39 +"86","Male","Meningioma","Supratentorial",90,2.5,"SRT",0,32.82 +"87","Male","Meningioma","Supratentorial",90,2.02,"SRS",0,42.07 +"88","Male","Other","Infratentorial",80,0.11,"SRT",0,13.9 diff --git a/Data/Caravan.csv b/Data/Caravan.csv index a34e67c..c437d7c 100644 --- a/Data/Caravan.csv +++ b/Data/Caravan.csv @@ -1,5823 +1,5823 @@ -"","MOSTYPE","MAANTHUI","MGEMOMV","MGEMLEEF","MOSHOOFD","MGODRK","MGODPR","MGODOV","MGODGE","MRELGE","MRELSA","MRELOV","MFALLEEN","MFGEKIND","MFWEKIND","MOPLHOOG","MOPLMIDD","MOPLLAAG","MBERHOOG","MBERZELF","MBERBOER","MBERMIDD","MBERARBG","MBERARBO","MSKA","MSKB1","MSKB2","MSKC","MSKD","MHHUUR","MHKOOP","MAUT1","MAUT2","MAUT0","MZFONDS","MZPART","MINKM30","MINK3045","MINK4575","MINK7512","MINK123M","MINKGEM","MKOOPKLA","PWAPART","PWABEDR","PWALAND","PPERSAUT","PBESAUT","PMOTSCO","PVRAAUT","PAANHANG","PTRACTOR","PWERKT","PBROM","PLEVEN","PPERSONG","PGEZONG","PWAOREG","PBRAND","PZEILPL","PPLEZIER","PFIETS","PINBOED","PBYSTAND","AWAPART","AWABEDR","AWALAND","APERSAUT","ABESAUT","AMOTSCO","AVRAAUT","AAANHANG","ATRACTOR","AWERKT","ABROM","ALEVEN","APERSONG","AGEZONG","AWAOREG","ABRAND","AZEILPL","APLEZIER","AFIETS","AINBOED","ABYSTAND","Purchase" -"1",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2",37,1,2,2,8,1,4,1,4,6,2,2,0,4,5,0,5,4,0,0,0,5,0,4,0,2,3,5,0,2,7,7,1,2,6,3,2,0,5,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4",9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5",40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"6",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"7",39,2,3,2,9,2,2,0,5,7,2,0,0,3,6,0,4,5,0,0,0,4,1,5,0,1,4,5,0,6,3,8,0,1,9,0,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"8",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"9",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"10",11,2,3,3,3,3,5,0,2,7,0,2,2,2,6,0,4,5,2,0,0,3,3,3,1,2,1,4,2,0,9,6,1,2,6,3,2,3,3,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"11",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"12",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"13",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"14",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"15",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"16",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"17",38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"18",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"19",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"20",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"21",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"22",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"23",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"24",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"25",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"26",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"27",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"28",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"29",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"30",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"31",24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"32",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"33",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"34",38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"35",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"36",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" -"37",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"38",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"39",39,1,3,2,9,0,6,0,3,6,0,3,0,0,9,0,3,6,2,0,0,2,5,2,0,2,4,4,0,7,2,3,6,0,6,3,7,0,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"40",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"41",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"42",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,"Yes" -"43",8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"44",33,1,2,4,8,0,5,0,4,8,0,1,1,7,2,2,2,6,2,0,3,2,2,2,2,1,3,4,1,6,3,6,0,3,7,2,4,2,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"45",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"46",38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"47",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"48",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"49",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"50",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"51",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"52",25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"53",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"54",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"55",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"56",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"57",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"58",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" -"59",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"60",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"61",30,1,2,4,7,0,5,3,2,4,1,4,5,4,1,2,4,3,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"62",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"63",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"64",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"65",11,1,1,3,3,4,0,0,5,0,2,7,7,2,1,0,7,2,0,0,0,3,0,6,0,3,4,0,2,8,1,2,0,7,7,2,6,3,0,2,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"66",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"67",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"68",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"69",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"70",29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"71",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"72",25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"73",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"74",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"75",11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"76",3,1,3,4,1,0,5,2,2,7,0,2,2,4,4,0,4,5,1,0,0,3,2,5,0,1,4,3,2,2,7,6,0,3,8,1,2,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"77",38,1,2,3,9,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"78",11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"79",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"80",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"81",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"82",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"83",1,1,3,3,1,6,0,0,3,8,0,1,1,4,5,5,4,2,6,1,0,3,1,0,6,2,1,2,0,0,9,7,2,1,1,8,1,0,3,5,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"84",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"85",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"86",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"87",1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"88",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"89",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"90",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"91",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"92",8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"93",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"94",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"95",39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"96",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"97",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"98",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"99",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"100",24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"101",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"102",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"103",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"104",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"105",37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"106",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"107",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"108",23,1,2,2,5,3,3,0,4,6,0,3,4,2,4,3,5,2,3,1,0,2,2,2,4,2,1,2,1,6,3,7,1,1,2,7,2,3,3,3,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"109",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"110",36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"111",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"112",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"113",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"114",34,2,4,3,8,2,4,2,3,7,0,2,1,3,5,4,5,0,4,1,0,3,0,3,4,2,4,0,0,8,1,6,3,0,0,9,0,4,4,1,1,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"115",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"116",22,3,2,4,5,2,2,3,4,4,2,4,5,4,2,3,2,5,5,0,0,4,1,0,2,2,1,4,1,8,1,1,2,6,8,1,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"117",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"118",33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"119",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,"No" -"120",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"121",37,1,3,3,8,3,3,0,3,7,2,1,1,6,3,0,2,7,1,0,0,2,3,4,0,2,1,7,1,6,3,7,1,2,7,2,5,3,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"122",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"123",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"124",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"125",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"126",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"127",36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"128",3,1,2,4,1,0,4,4,2,6,0,3,3,4,3,7,2,0,7,0,0,2,0,1,7,2,0,0,0,0,9,5,4,0,3,6,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"129",25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"130",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"131",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,"No" -"132",37,1,2,3,8,0,5,2,3,5,2,3,2,6,1,1,3,5,2,1,0,3,1,4,1,1,2,3,3,4,5,7,1,2,6,3,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"133",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"134",8,2,3,3,2,0,6,2,2,9,0,0,0,4,5,2,4,4,5,0,0,4,0,0,5,0,0,4,0,2,7,7,2,0,6,3,5,2,0,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"135",7,1,3,2,2,0,0,0,9,5,4,0,0,4,5,3,6,0,3,0,0,6,0,0,3,2,4,0,0,0,9,6,3,0,6,3,0,3,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"136",29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"137",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"138",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"139",1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"140",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"141",26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"142",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"143",34,1,4,3,8,0,2,0,7,7,0,2,0,3,6,1,6,3,0,0,0,4,3,2,0,4,2,4,0,0,9,6,1,2,5,4,0,1,6,3,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"144",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"145",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"146",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"147",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"148",8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"149",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,2,1,0,0,0,0,0,"No" -"150",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"151",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"152",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"153",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"154",12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"155",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"156",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"157",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"158",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"159",32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"160",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"161",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"162",9,1,3,3,3,2,3,2,4,8,1,1,1,5,4,2,1,7,2,0,0,3,3,2,2,1,1,7,0,9,0,6,2,2,7,2,2,3,2,4,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"163",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"164",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"165",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,5,0,0,0,0,3,0,6,0,0,0,0,4,0,0,0,1,0,0,0,0,2,0,0,0,0,1,0,2,0,0,0,0,1,"No" -"166",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,4,5,0,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"167",38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"168",37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"169",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"170",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"171",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"172",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"173",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"174",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"175",34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"176",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"177",9,1,3,3,3,2,2,3,4,7,1,2,2,2,5,4,3,3,2,0,0,4,2,2,2,3,2,3,0,9,0,5,1,4,4,5,1,3,5,1,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"178",8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"179",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"180",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,6,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"181",10,1,3,2,3,1,2,2,6,9,0,0,0,3,6,3,4,2,4,0,0,3,2,1,4,2,2,3,0,0,9,6,2,2,5,4,0,3,4,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"182",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"183",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"184",3,1,2,3,1,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"185",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"186",25,1,1,3,6,3,2,1,4,1,0,8,7,1,1,1,4,5,1,1,2,3,0,5,2,1,3,3,2,8,1,1,1,8,6,3,5,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"187",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"188",38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"189",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"190",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"191",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"192",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"193",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"194",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"195",36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"196",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"197",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"198",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"199",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"200",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"201",22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"202",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"203",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"204",38,1,3,2,9,1,0,1,7,4,1,4,1,1,8,4,4,2,4,1,0,2,2,3,2,1,5,2,0,6,3,6,0,3,6,3,3,2,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"205",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"206",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"207",24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,8,0,6,0,0,0,0,0,0,0,0,0,4,0,4,0,2,0,0,0,0,7,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,"No" -"208",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"209",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"210",9,1,3,3,3,1,2,0,7,5,2,3,2,4,4,2,5,3,4,0,0,0,1,4,2,1,5,2,0,9,0,4,3,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"211",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"212",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"213",37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"214",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"215",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"216",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,4,6,0,0,0,2,3,2,0,0,2,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,1,0,0,3,0,0,0,0,0,"No" -"217",33,1,2,4,8,3,6,0,0,5,0,4,4,3,3,0,3,6,0,0,0,5,4,0,0,3,0,6,0,0,9,3,3,4,9,0,4,0,3,3,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"218",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"219",13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"220",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"221",31,1,2,3,7,0,0,2,7,8,0,1,1,6,3,0,3,6,0,0,0,4,3,2,0,1,2,6,0,7,2,7,0,2,7,2,1,8,0,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"222",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"223",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"224",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"225",24,1,2,4,5,1,4,1,5,6,1,2,3,4,3,1,4,5,1,0,0,3,1,6,1,1,2,5,2,4,6,5,1,4,8,1,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"226",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"227",10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"228",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"229",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"230",36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"231",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"232",8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"233",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"234",31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"235",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"236",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"237",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"238",39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"239",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"240",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"241",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"242",10,1,3,3,3,0,4,1,5,7,1,2,2,4,4,4,3,3,3,1,0,4,1,2,3,3,1,3,1,6,3,6,2,2,3,6,2,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"243",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"244",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"245",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"246",38,1,2,1,9,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"247",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"248",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"249",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"250",38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"251",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"252",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"253",16,1,2,2,4,0,3,0,6,2,3,4,2,6,1,6,1,3,1,0,0,3,2,4,1,1,5,2,2,7,2,7,0,2,4,5,4,5,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"254",38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,0,3,0,6,0,0,0,0,5,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,2,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,"Yes" -"255",36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"256",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"257",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"258",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"259",37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"260",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"261",11,1,2,3,3,0,0,0,9,5,2,2,2,5,2,2,4,4,3,0,3,0,0,3,3,0,3,4,0,2,7,7,2,0,6,3,5,0,0,4,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"262",10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"263",4,1,1,3,1,5,3,0,2,6,0,3,8,1,0,8,1,1,4,0,0,4,0,1,5,3,0,2,0,8,1,5,2,2,3,6,1,1,4,4,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"264",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"265",22,1,2,3,5,1,5,0,3,4,0,5,5,3,2,1,4,5,1,0,0,4,4,2,1,3,1,5,1,7,2,4,2,3,6,3,5,1,1,3,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"266",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"267",5,1,3,3,1,1,3,1,5,5,2,3,2,3,4,1,3,5,2,0,0,3,3,3,2,1,2,4,2,5,4,6,1,3,7,2,3,3,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"268",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"269",10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"270",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"271",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"272",33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"273",38,1,2,4,9,1,3,1,6,7,1,2,5,3,1,2,4,4,3,0,0,4,3,0,0,4,0,3,3,2,7,5,1,3,7,2,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"274",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"275",1,1,2,4,1,1,6,1,3,5,0,4,0,5,4,0,4,5,5,0,0,4,0,0,0,3,6,0,0,4,5,5,2,4,4,5,2,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"276",33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"277",23,1,2,3,5,2,4,2,3,2,2,5,4,3,2,2,2,5,2,1,0,4,0,4,2,2,2,4,2,9,0,2,0,7,7,2,6,2,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"278",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"279",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"280",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"281",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"282",8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"283",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"284",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"285",41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"286",41,1,3,3,10,0,6,0,3,7,0,2,4,1,5,3,2,4,1,2,4,1,1,2,3,1,4,3,1,1,8,6,3,0,5,4,4,4,1,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"287",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"288",3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"289",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"290",9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"291",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"292",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"293",21,1,3,2,5,3,4,0,3,4,3,3,0,4,5,0,4,5,3,0,0,2,5,1,2,0,2,6,0,9,0,5,0,4,9,0,6,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"294",3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"295",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"296",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"297",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"298",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"299",32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"300",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"301",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"302",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"303",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"304",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"305",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"306",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"307",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"308",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"309",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"310",13,1,3,3,3,3,2,1,4,5,2,3,2,0,7,1,3,5,2,0,0,3,2,3,0,2,2,6,0,7,2,4,2,3,5,4,2,2,4,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"311",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"312",16,1,2,2,4,1,3,0,6,1,2,6,6,2,1,7,1,2,0,0,0,3,4,3,0,1,7,2,1,6,3,4,1,5,4,5,8,0,1,0,0,1,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"313",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"314",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"315",3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"316",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"317",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"318",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"319",35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"320",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"321",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"322",33,1,3,3,8,2,6,1,2,6,2,2,0,3,6,3,5,2,2,0,0,2,2,4,2,2,4,3,0,0,9,5,2,3,6,3,2,3,2,4,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"323",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"324",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"325",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"326",35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,4,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" -"327",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"328",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"329",39,1,3,2,9,0,8,0,1,8,0,1,2,2,5,2,4,4,2,0,0,3,4,1,1,3,4,3,0,8,1,8,1,0,6,3,3,3,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"330",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"331",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"332",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"333",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"334",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"335",16,1,2,1,4,2,1,0,6,1,3,6,6,2,2,7,2,0,4,0,0,5,0,0,2,3,5,0,0,9,0,3,1,5,3,6,5,3,2,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"336",12,1,4,2,3,0,4,0,5,9,0,0,0,2,7,0,5,4,2,0,0,2,3,3,1,2,2,4,1,1,8,5,2,2,8,1,2,1,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"337",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,"Yes" -"338",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"339",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,3,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,1,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"340",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"341",10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,3,0,3,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"342",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"343",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"344",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"345",37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"346",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"347",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"348",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"349",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"350",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"351",41,1,3,3,10,3,2,1,5,7,0,2,2,4,4,2,4,3,2,1,1,2,2,3,2,2,2,3,1,5,4,7,2,0,4,5,3,2,3,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"352",36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"353",6,1,4,3,2,4,0,5,0,5,4,0,0,2,7,3,4,3,3,0,0,5,0,2,2,2,2,4,0,3,6,9,0,0,0,9,0,3,6,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"354",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"355",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"356",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"357",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"358",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"359",8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"360",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"361",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"362",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"363",41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"364",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"365",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"366",32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"367",32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"368",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"369",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"370",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"371",8,1,3,3,2,0,4,4,2,5,3,2,0,4,5,2,7,0,4,0,0,4,0,2,4,3,2,0,0,3,6,4,4,2,5,4,4,5,0,0,0,3,7,0,4,0,6,6,6,0,0,0,0,0,4,0,0,6,6,0,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,"No" -"372",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"373",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"374",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"375",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"376",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"377",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"378",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"379",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"380",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"381",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"382",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"383",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"384",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"385",34,1,3,3,8,1,3,3,4,6,0,3,2,1,6,3,4,2,3,0,0,4,1,3,3,3,2,2,1,2,7,5,2,2,4,5,1,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"386",18,1,2,3,4,4,5,0,0,3,2,5,1,7,1,8,1,1,2,0,0,6,2,0,1,1,7,1,0,1,8,3,0,6,6,3,2,0,7,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"387",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"388",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"389",37,1,2,4,8,2,3,0,4,4,2,3,3,3,3,2,3,5,2,2,0,4,2,2,1,2,2,4,2,6,3,4,1,5,7,2,4,3,2,2,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"390",6,1,4,3,2,2,1,0,6,8,0,1,0,0,9,2,6,1,2,0,0,4,1,3,2,5,3,1,0,0,9,5,4,0,2,7,0,0,3,4,2,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"391",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"392",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"393",34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"394",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"395",2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"396",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"397",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"398",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"399",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"400",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"401",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"402",36,1,2,4,8,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"403",41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"404",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"405",36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"406",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"407",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,"No" -"408",4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"409",34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"410",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"411",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"412",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"413",2,1,2,3,1,9,0,0,0,9,0,0,0,0,9,4,5,0,5,4,0,0,0,0,9,0,0,0,0,0,9,3,6,0,3,6,0,0,0,9,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"414",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"415",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"416",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"417",2,1,4,2,1,0,0,0,9,4,0,5,0,0,9,5,4,0,3,5,0,0,3,0,0,0,5,4,0,9,0,2,3,5,3,6,3,0,4,2,2,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"418",8,1,3,3,2,3,3,1,4,6,1,3,0,3,6,3,2,4,3,0,0,2,4,0,2,0,0,4,3,3,6,6,1,3,6,3,0,0,5,0,4,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"419",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"420",12,1,3,2,3,0,5,1,3,6,0,3,2,1,6,1,4,4,1,0,0,5,2,3,1,3,2,4,0,3,6,8,1,0,6,3,5,3,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"421",30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" -"422",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"423",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"424",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"425",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"426",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"427",38,2,3,2,9,0,6,0,3,6,2,2,1,4,5,1,6,3,1,0,0,3,3,3,1,3,2,5,0,4,5,8,0,1,8,1,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"428",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"429",23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"430",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"431",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"432",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"433",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"434",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"435",38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"436",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"437",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"438",36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"439",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"440",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"441",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"442",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"443",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"444",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"445",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" -"446",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"447",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"448",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"449",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"450",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"451",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"452",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"453",16,1,1,1,4,1,4,1,5,1,2,7,6,3,0,3,6,0,1,1,0,4,2,3,0,0,5,4,0,9,0,3,1,5,6,3,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"454",38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"455",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"456",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"457",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"458",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"459",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"460",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"461",3,1,3,3,1,2,4,1,3,6,1,3,6,0,3,4,4,2,3,0,1,4,0,2,3,4,2,1,0,0,9,6,1,3,5,4,0,3,5,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"462",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"463",35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"464",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"465",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"466",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"467",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"468",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"469",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"470",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"471",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"472",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"473",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"474",33,1,2,3,8,4,4,0,2,9,0,0,3,2,4,1,2,6,2,0,0,2,4,2,1,1,3,3,3,2,7,5,2,2,5,4,3,3,3,2,0,4,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"475",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"476",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"477",8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"478",24,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"479",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"480",26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"481",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"482",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"483",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"484",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"485",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"486",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"487",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"488",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"489",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"490",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"491",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"492",6,1,3,3,2,0,2,0,7,3,4,2,2,3,5,2,2,5,0,0,0,4,5,0,1,0,4,4,1,2,7,6,3,0,7,2,3,3,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"493",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"494",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"495",24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"496",24,1,3,2,5,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"497",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"498",11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"499",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"500",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"501",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"502",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"503",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"504",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"505",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"506",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"507",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"508",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"509",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"510",40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"511",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"512",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"513",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"514",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"515",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"516",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"517",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"518",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"519",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"520",35,1,2,4,8,2,4,2,2,9,0,0,4,2,4,1,6,3,3,1,0,3,2,2,1,3,2,4,0,4,5,9,0,0,5,4,1,7,1,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"521",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"522",25,2,1,4,6,0,9,0,0,2,0,7,4,3,3,0,4,5,2,0,0,4,2,2,0,2,3,3,2,9,0,2,0,7,9,0,4,4,0,1,0,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"523",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"524",22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"525",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"526",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"527",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"528",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"529",38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"530",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"531",32,1,2,3,7,1,5,2,2,6,1,2,2,4,4,1,6,2,3,0,1,3,1,2,2,3,2,2,2,5,4,5,2,3,5,4,3,3,3,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"532",5,1,3,3,1,0,5,0,4,8,0,1,3,3,3,1,3,6,1,1,6,2,1,0,3,1,3,2,2,4,5,7,2,0,5,4,3,3,4,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"533",24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"534",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"535",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"536",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"537",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"538",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"539",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"540",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"541",35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"542",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"543",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"544",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"545",25,1,1,5,6,0,4,2,4,3,0,6,6,3,0,2,7,0,2,0,0,7,0,0,3,5,2,0,0,9,0,5,0,4,2,7,2,0,7,0,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"546",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"547",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"548",33,1,4,2,8,0,6,0,3,6,0,3,3,0,6,0,2,7,0,0,0,0,9,0,0,0,0,9,0,2,7,9,0,0,9,0,3,0,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"549",25,1,2,3,6,4,2,1,3,5,0,4,4,3,3,9,0,0,3,1,0,3,1,3,0,9,0,0,0,0,9,6,1,3,2,7,0,0,0,0,9,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"550",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"551",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"552",36,1,3,3,8,1,3,1,5,4,2,4,0,4,5,0,6,3,0,0,0,6,0,3,0,6,0,3,0,3,6,6,0,3,8,1,3,3,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"553",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"554",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"555",38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"556",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"557",41,1,3,2,10,2,5,0,2,9,0,0,0,4,5,0,3,6,2,0,2,2,2,2,0,2,2,5,0,0,9,6,3,0,7,2,5,0,5,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"558",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"559",29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"560",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"561",8,1,3,3,2,2,3,0,5,7,2,0,0,5,4,1,8,1,3,0,0,4,1,3,1,2,4,4,0,5,4,9,0,0,6,3,2,1,4,3,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"562",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"563",23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"564",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"565",24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"566",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"567",3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"568",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"569",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"570",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"571",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"572",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"573",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"574",23,1,1,4,5,2,2,2,4,0,0,9,9,0,0,2,5,3,0,1,0,5,2,2,1,4,2,3,0,9,0,2,0,7,5,4,4,2,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"575",1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"576",9,1,3,3,3,0,6,1,2,8,1,0,2,4,4,2,5,3,5,0,0,2,2,2,3,1,3,3,0,3,6,5,2,2,3,6,1,3,5,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"577",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"578",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"579",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"580",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"581",5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"582",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"583",2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"584",3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"585",16,2,1,1,4,4,3,0,3,2,3,5,8,0,1,8,1,1,3,0,0,4,3,0,0,0,8,1,1,8,1,5,0,4,6,3,8,0,1,0,0,1,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"586",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"587",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"588",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"589",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"590",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"591",32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"592",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"593",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"594",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"595",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"596",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"597",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"598",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"599",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"600",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"601",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"602",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"603",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"604",35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"605",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"606",8,1,3,2,2,2,2,3,3,8,0,1,1,4,5,1,7,1,3,0,1,4,1,2,1,5,2,2,0,2,7,8,1,0,3,6,1,3,5,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"607",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"608",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"609",10,1,3,2,3,1,4,1,4,7,2,0,1,3,5,1,3,5,2,0,0,5,0,2,2,2,1,5,0,2,7,8,1,0,7,2,0,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"610",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"611",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"612",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"613",12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"614",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"615",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"616",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"617",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"618",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"619",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"620",3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"621",39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"622",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"623",32,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"624",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,1,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"625",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"626",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"627",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"628",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"629",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"630",34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"631",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"632",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"633",9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"634",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"635",3,1,2,5,1,0,8,0,1,7,2,0,0,6,3,1,1,8,4,2,0,2,2,2,1,1,1,6,1,1,8,6,2,2,4,5,4,4,1,1,0,3,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"636",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"637",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"638",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"639",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"640",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"641",10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"642",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"643",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"644",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"645",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"646",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"647",9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"648",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"649",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"650",33,1,3,3,8,2,7,0,0,9,0,0,3,2,4,0,3,6,1,0,2,3,2,3,1,2,2,5,1,4,5,7,2,0,9,0,4,4,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"651",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"652",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"653",33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"654",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"655",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"656",28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"657",37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"658",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"659",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"660",33,1,3,4,8,0,5,0,4,9,0,0,0,4,5,0,3,6,0,0,0,3,6,0,0,2,0,7,0,4,5,9,0,0,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"661",24,1,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"662",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"663",38,1,2,3,9,0,3,2,5,5,1,3,3,3,4,2,3,5,3,1,0,1,3,3,2,1,2,4,2,4,5,5,1,4,7,2,5,2,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"664",7,1,2,5,2,1,8,0,1,6,1,3,3,5,2,2,4,4,6,0,0,3,1,1,4,1,4,1,0,4,5,7,2,1,6,3,3,3,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"665",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"666",28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"667",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"668",1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"669",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"670",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"671",24,1,2,2,5,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"672",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"673",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"674",6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"675",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"676",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"677",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"678",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"679",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"680",27,1,2,3,6,0,9,0,0,9,0,0,4,2,4,2,3,4,6,0,0,3,0,0,1,2,4,3,0,2,7,7,0,2,3,6,1,4,2,2,2,6,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"681",1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"682",39,1,2,4,9,1,6,0,3,6,2,2,0,7,2,0,4,5,2,0,0,3,3,2,0,2,3,5,0,9,0,6,2,1,6,3,3,0,5,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"683",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"684",31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"685",8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"686",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"687",13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"688",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"689",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"690",30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"691",33,1,2,2,8,0,4,0,5,4,0,5,3,3,3,0,3,6,2,0,0,2,0,6,1,0,2,6,2,7,2,7,0,2,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"692",24,1,2,3,5,2,3,1,5,4,2,5,4,4,2,4,3,3,4,1,0,2,1,3,3,1,3,3,1,8,1,5,1,4,3,6,5,2,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"693",24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"694",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"695",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"696",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"697",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"698",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"699",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"700",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"701",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"702",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"703",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"704",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"705",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"706",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"707",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"708",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"709",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"710",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"711",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"712",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"713",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"714",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"715",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"716",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"717",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"718",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"719",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"720",33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"721",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"722",29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"723",31,1,2,4,7,4,2,0,3,4,1,4,3,4,3,2,3,5,1,1,1,2,1,5,1,1,2,5,2,5,4,4,1,5,7,2,6,2,2,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"724",29,1,2,3,7,0,3,0,6,5,0,4,1,4,4,0,0,9,0,0,0,0,2,7,0,0,0,4,5,8,1,6,0,3,9,0,2,5,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"725",35,1,3,3,8,4,3,1,2,6,1,2,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,5,7,1,2,6,3,0,5,5,0,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"726",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"727",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"728",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"729",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"730",29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"731",25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"732",3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"733",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"734",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"735",32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"736",31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"737",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"738",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"739",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"740",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"741",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"742",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"743",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"744",37,1,2,5,8,2,3,2,4,7,2,1,4,4,1,0,5,4,2,0,0,5,2,2,0,1,5,4,0,4,5,7,1,1,7,2,4,5,0,0,0,3,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"745",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"746",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"747",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"748",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"749",25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"750",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"751",33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"752",24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"753",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"754",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"755",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"756",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"757",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"758",38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"759",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"760",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"761",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"762",24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,0,0,4,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,0,0,1,2,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"763",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,1,6,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,1,0,"Yes" -"764",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"765",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"766",33,1,4,3,8,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"767",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"768",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"769",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"770",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"771",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"772",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"773",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"774",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"775",23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,8,6,0,0,0,0,0,0,9,0,0,0,7,0,0,0,0,0,0,0,0,6,1,0,0,0,0,0,0,8,0,0,0,1,0,0,0,0,0,"No" -"776",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,0,1,8,2,0,0,2,6,0,1,0,2,2,5,8,1,9,0,0,7,2,5,3,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"777",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"778",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"779",11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"780",38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"781",35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"782",8,1,3,4,2,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"783",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,5,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"784",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"785",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"786",3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"787",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"788",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"789",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"790",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"791",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"792",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"793",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"794",21,1,2,4,5,6,1,0,2,5,2,3,4,3,3,4,3,3,3,0,0,6,0,0,1,2,2,6,0,3,6,5,1,4,6,3,4,2,0,2,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"795",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"796",33,1,1,6,8,2,5,1,2,7,0,2,5,4,0,0,6,3,5,0,0,5,0,0,2,2,0,3,3,9,0,7,2,1,5,4,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"797",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"798",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"799",18,10,2,2,4,1,1,1,7,2,2,6,6,2,2,5,2,2,3,1,0,3,1,2,5,1,2,1,2,6,3,4,0,5,4,5,4,1,4,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"800",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"801",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"802",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"803",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"804",10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"805",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"806",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"807",30,1,2,3,7,0,9,0,0,4,0,5,5,1,4,0,4,5,0,0,0,2,2,6,0,1,2,4,3,3,6,5,1,3,6,3,5,2,3,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"808",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"809",31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"810",9,1,3,3,3,2,0,0,7,4,1,4,0,3,6,3,3,4,3,0,0,3,1,3,2,1,4,3,1,8,1,7,0,2,6,3,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"811",1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"812",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"813",40,1,4,3,10,2,5,0,3,8,1,1,1,3,6,2,4,4,2,0,7,0,1,1,5,0,4,1,0,1,8,4,5,1,1,8,2,0,7,1,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"814",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"815",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"816",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"817",37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"818",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"819",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"820",10,1,3,3,3,0,6,0,3,7,0,2,2,2,6,3,4,2,4,0,3,2,0,0,5,2,3,0,0,0,9,6,3,0,4,5,0,3,3,3,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"821",37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"822",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"823",38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"824",38,1,2,2,9,0,5,2,3,5,2,3,4,2,3,2,4,3,2,0,0,4,2,2,2,2,2,3,2,7,2,5,1,3,9,0,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"825",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"826",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"827",37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"828",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"829",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"830",33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"831",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"832",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"833",39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"834",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"835",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"836",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"837",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"838",3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"839",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"840",36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"841",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"842",8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"843",12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"844",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"845",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"846",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"847",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"848",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"849",38,1,3,3,9,0,5,1,4,7,1,2,1,4,5,0,2,7,1,0,0,6,2,2,1,2,1,6,1,8,1,6,1,2,9,0,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"850",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"851",23,1,2,3,5,1,5,0,4,3,4,3,4,4,2,2,3,5,1,0,0,6,1,2,1,2,2,2,3,6,3,5,0,4,6,3,4,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"852",38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"853",29,1,4,3,7,2,4,0,4,7,0,2,0,2,7,1,1,8,1,0,0,1,2,6,1,0,1,7,1,1,8,5,2,2,7,2,0,8,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"854",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"855",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"856",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"857",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"858",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"859",23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"860",11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,"No" -"861",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"862",24,1,2,3,5,0,6,1,3,3,0,6,6,1,3,2,2,5,2,0,0,4,3,1,2,2,0,5,1,8,1,5,0,4,9,0,5,2,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"863",6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"864",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"865",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"866",2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"867",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"868",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"869",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"870",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"Yes" -"871",6,1,2,4,2,1,3,1,5,6,1,2,3,5,2,0,0,9,0,0,0,2,3,5,0,0,0,4,5,9,0,6,2,2,7,2,9,0,0,0,0,2,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"872",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"873",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"874",32,1,2,4,7,2,6,0,1,6,2,2,2,5,3,1,2,6,3,1,1,2,2,3,2,1,1,4,2,6,3,7,0,2,6,3,5,2,1,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"875",36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"876",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"877",8,1,2,2,2,0,3,0,6,5,0,4,4,4,2,2,5,3,3,0,1,3,1,3,2,4,1,3,1,2,7,4,3,3,3,6,3,1,2,4,0,6,8,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"878",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"879",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"880",39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"881",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"882",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"883",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"884",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"885",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"886",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"887",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"888",2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"889",3,1,3,3,1,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,6,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"890",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"891",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"892",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"893",36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"894",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"895",33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"896",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"897",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"898",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"899",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"900",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"901",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"902",31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"903",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"904",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"905",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"906",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"907",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"908",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"909",24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"910",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0,"No" -"911",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"912",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"913",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"914",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"915",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"916",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"917",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"918",36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"919",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,6,0,0,0,2,0,0,5,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"920",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"921",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"922",36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,"No" -"923",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"924",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"925",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"926",36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"927",32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"928",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"929",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"930",6,1,3,3,2,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"931",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"932",25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"933",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"934",38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"935",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"936",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"937",30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"938",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"939",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"940",5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"941",31,1,2,3,7,0,6,0,3,5,1,3,3,4,2,3,2,5,3,0,0,4,3,0,2,2,0,3,3,3,6,6,1,2,5,4,2,0,7,0,0,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"942",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"943",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"944",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"945",11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"946",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"947",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"948",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"949",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"950",32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"951",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"952",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"953",33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"954",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"955",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"956",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"957",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"958",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"959",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"960",2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"961",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"962",39,1,3,3,9,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"963",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"964",33,1,2,4,8,0,5,1,4,6,0,3,3,4,2,1,1,8,0,2,0,1,7,0,0,1,2,6,0,0,9,7,2,0,7,2,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"965",23,1,1,2,5,0,0,0,9,3,0,6,6,2,2,0,6,3,0,0,0,4,3,2,0,4,3,3,0,4,5,0,0,9,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"966",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"967",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"968",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"969",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"970",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"971",22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"972",36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"973",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"974",30,1,2,3,7,0,6,0,3,3,1,5,7,0,2,4,0,5,2,0,0,4,0,4,0,3,3,0,4,4,5,6,1,2,6,3,5,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"975",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"976",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"977",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"978",32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"979",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"980",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"981",3,1,2,4,1,0,4,2,3,9,0,0,3,4,2,0,6,3,3,0,0,3,2,2,3,2,0,5,0,5,4,6,1,3,6,3,2,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"982",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"983",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"984",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"985",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"986",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"987",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"988",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"989",37,1,3,3,8,2,2,2,5,7,1,2,2,4,4,1,3,5,2,0,1,4,2,2,1,1,3,5,1,1,8,4,0,5,6,3,2,4,3,2,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"990",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"991",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"992",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"993",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"994",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"995",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"996",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"997",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"998",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"999",3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1000",33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1001",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1002",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1003",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1004",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1005",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1006",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1007",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1008",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1009",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1010",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1011",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1012",30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1013",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1014",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1015",22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1016",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1017",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1018",11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1019",25,1,1,4,6,0,5,2,3,3,1,6,6,3,1,2,4,3,2,1,0,5,2,1,2,2,3,3,1,9,0,5,0,4,5,4,5,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1020",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1021",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1022",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1023",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1024",26,2,1,5,6,0,5,0,5,5,0,5,7,2,0,0,2,7,2,0,2,3,0,4,0,0,4,3,2,9,0,0,0,9,2,7,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1025",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1026",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1027",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1028",1,1,2,4,1,2,7,0,0,9,0,0,0,7,2,4,5,0,6,0,0,3,0,0,6,3,0,0,0,0,9,7,2,0,3,6,0,0,9,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1029",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1030",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1031",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1032",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1033",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1034",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1035",33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1036",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1037",33,1,3,3,8,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1038",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1039",10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1040",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1041",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1042",37,1,3,2,8,3,2,1,4,7,2,1,0,2,7,2,5,3,3,0,0,4,2,1,2,2,3,3,0,7,2,7,1,2,6,3,1,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1043",3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1044",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1045",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1046",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1047",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,1,0,0,6,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"1048",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1049",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1050",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1051",33,1,3,3,8,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1052",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1053",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1054",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1055",11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1056",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1057",29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1058",13,1,3,2,3,6,0,0,3,7,0,2,0,5,4,2,6,2,1,1,0,5,3,1,1,1,4,3,0,7,2,9,0,0,3,6,0,1,5,3,0,6,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1059",9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1060",33,1,3,3,8,0,4,3,2,7,0,2,3,2,6,0,5,4,1,0,0,4,5,0,1,2,2,5,0,2,7,7,0,2,8,1,2,2,4,2,0,5,3,0,0,4,6,0,0,0,0,3,0,0,5,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1061",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1062",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1063",41,1,3,3,10,2,5,2,2,7,2,0,0,3,6,2,3,5,3,0,2,3,1,2,4,0,2,4,0,1,8,7,2,0,6,3,5,2,2,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1064",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1065",37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1066",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1067",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1068",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1069",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1070",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1071",39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1072",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1073",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1074",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1075",7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1076",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1077",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"1078",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1079",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1080",33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1081",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1082",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1083",36,1,3,3,8,2,4,1,3,6,1,3,5,0,4,3,3,3,3,0,2,4,0,2,3,3,3,2,0,0,9,6,1,3,5,4,0,3,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1084",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1085",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1086",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1087",13,2,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1088",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1089",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1090",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1091",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1092",37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1093",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1094",26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1095",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1096",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1097",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1098",35,2,5,3,8,0,5,0,4,4,0,5,1,1,8,3,5,1,3,0,0,3,1,3,6,2,1,1,0,1,8,7,2,0,2,7,1,0,4,0,4,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1099",36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1100",16,1,2,2,4,0,2,0,7,0,2,7,6,1,2,5,2,2,3,0,0,3,2,3,1,1,6,2,1,6,3,5,1,4,6,3,4,4,0,1,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1101",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1102",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1103",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1104",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1105",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1106",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1107",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1108",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1109",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1110",3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1111",8,1,3,3,2,0,5,0,4,8,1,0,2,2,5,2,3,4,3,0,0,3,2,2,2,2,3,4,0,2,7,8,0,1,5,4,1,2,4,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1112",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1113",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1114",33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1115",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1116",24,2,2,3,5,2,4,2,2,2,2,5,3,6,0,4,3,2,0,0,0,4,3,3,2,3,2,0,3,9,0,3,0,6,9,0,0,7,2,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1117",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1118",33,1,3,4,8,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1119",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1120",7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1121",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1122",32,1,2,4,7,1,3,1,5,5,1,3,4,5,1,1,4,5,2,0,0,3,0,5,0,1,4,4,1,7,2,6,1,3,6,3,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1123",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1124",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1125",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1126",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,"No" -"1127",29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1128",32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1129",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1130",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1131",39,1,4,2,9,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1132",9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1133",32,1,3,3,7,0,6,1,3,6,1,3,1,4,5,1,3,5,2,0,0,3,3,3,1,1,3,4,2,6,3,5,1,4,7,2,4,4,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1134",36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,1,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"1135",12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1136",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,2,1,0,1,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" -"1137",7,2,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" -"1138",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1139",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1140",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1141",23,1,1,4,5,0,5,2,2,2,0,7,8,1,0,1,8,1,0,1,0,4,0,5,1,1,8,1,0,9,0,7,0,2,5,4,1,8,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1142",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"1143",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"1144",38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1145",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1146",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1147",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1148",40,1,2,4,10,0,9,0,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,0,1,5,0,3,0,9,5,2,3,2,7,4,2,3,0,0,2,3,2,0,0,0,6,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"1149",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1150",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1151",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1152",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1153",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1154",36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1155",39,1,2,4,9,0,5,0,4,5,0,4,4,3,3,0,3,6,0,0,3,3,0,4,0,3,3,4,0,9,0,6,0,3,9,0,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1156",37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1157",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1158",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1159",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1160",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1161",22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1162",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1163",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1164",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1165",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" -"1166",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1167",11,1,3,3,3,1,5,1,4,6,1,2,2,4,4,2,3,4,2,0,2,2,3,2,2,1,3,3,1,3,6,6,2,2,5,4,3,2,4,2,1,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1168",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"1169",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1170",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1171",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1172",37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1173",33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1174",31,1,2,5,7,0,4,0,5,9,0,0,0,8,1,0,0,9,0,0,0,0,5,4,0,0,0,8,1,9,0,5,0,4,9,0,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1175",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1176",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1177",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1178",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1179",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1180",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1181",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1182",24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1183",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1184",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1185",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1186",8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1187",6,1,3,3,2,3,0,3,4,9,0,0,0,0,9,0,0,9,5,0,0,3,1,1,0,0,4,5,0,0,9,5,4,0,4,5,7,0,0,2,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1188",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1189",10,2,3,2,3,5,1,0,3,4,4,1,0,0,9,9,0,0,0,0,0,9,0,0,4,5,0,0,0,0,9,7,0,2,7,2,2,3,4,2,1,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1190",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1191",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1192",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1193",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1194",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1195",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1196",8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1197",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1198",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1199",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1200",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1201",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,3,0,0,0,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1202",39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1203",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1204",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1205",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1206",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" -"1207",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1208",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1209",8,1,2,2,2,3,5,0,2,5,2,3,3,4,3,4,3,2,4,0,0,3,0,2,4,3,0,2,0,9,0,3,0,6,9,0,2,3,4,2,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1210",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1211",33,2,3,3,8,2,5,0,3,5,0,4,2,2,5,0,5,4,1,0,1,2,3,3,0,1,4,3,2,3,6,5,2,3,9,0,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1212",9,1,4,3,3,1,3,1,6,7,1,1,1,2,7,1,2,6,0,0,0,2,5,2,0,1,2,6,2,8,1,4,2,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1213",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1214",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1215",11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" -"1216",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1217",25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1218",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,"No" -"1219",3,1,2,4,1,3,4,2,1,6,0,3,4,4,2,0,8,1,3,0,0,4,0,2,2,3,3,3,1,7,2,6,0,3,4,5,5,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1220",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1221",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1222",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1223",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1224",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1225",38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1226",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1227",11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1228",33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1229",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1230",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1231",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1232",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1233",3,1,3,4,1,2,4,0,4,9,0,0,0,6,3,0,5,4,4,0,2,2,0,2,3,3,4,0,0,0,9,7,2,0,2,7,0,0,4,5,0,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1234",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1235",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1236",40,1,3,3,10,2,5,3,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,1,0,4,2,4,0,9,5,2,3,4,5,6,3,0,0,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1237",3,1,3,3,1,0,5,0,4,7,0,2,2,4,4,1,6,3,5,0,0,3,1,1,3,3,2,3,0,2,7,5,4,0,5,4,0,3,4,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1238",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1239",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1240",11,1,3,4,3,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1241",30,1,1,6,7,0,6,0,3,2,0,7,7,2,1,1,2,7,2,2,2,1,2,2,1,1,4,2,3,7,2,3,0,6,6,3,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1242",33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1243",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1244",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1245",27,1,2,4,6,1,5,2,3,5,1,4,3,6,0,6,0,3,4,2,0,2,1,1,6,0,0,3,0,6,3,5,1,3,5,4,3,2,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1246",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1247",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1248",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1249",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1250",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1251",24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1252",7,2,1,5,2,3,3,3,2,5,0,4,5,4,0,2,3,5,0,0,0,6,0,3,2,0,3,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1253",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1254",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1255",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1256",2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1257",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1258",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1259",9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"1260",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1261",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1262",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1263",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1264",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1265",36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1266",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1267",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1268",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1269",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1270",3,1,2,4,1,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1271",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1272",7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1273",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1274",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1275",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1276",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1277",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1278",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1279",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1280",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1281",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1282",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1283",35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1284",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1285",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1286",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1287",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1288",18,1,1,2,4,1,3,0,5,1,1,8,8,1,1,6,3,1,3,0,0,4,2,0,1,3,3,3,1,6,3,3,0,6,3,6,6,1,3,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1289",29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1290",33,1,3,4,8,2,7,0,0,7,0,2,2,4,4,4,1,5,4,0,0,1,3,2,4,0,2,4,0,2,7,5,3,2,5,4,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1291",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1292",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1293",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1294",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1295",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1296",38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1297",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1298",13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1299",39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1300",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1301",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1302",8,1,2,3,2,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1303",39,1,3,3,9,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1304",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1305",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1306",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1307",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1308",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,1,0,0,6,0,0,0,0,0,0,3,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" -"1309",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1310",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1311",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1312",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1313",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1314",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1315",26,1,1,6,6,0,7,0,2,2,0,7,7,2,0,0,0,9,0,0,0,5,0,4,0,0,0,7,2,6,3,4,0,5,6,3,9,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1316",1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1317",8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1318",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1319",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1320",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1321",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1322",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1323",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1324",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1325",9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1326",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1327",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1328",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"1329",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1330",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1331",32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1332",30,1,4,3,7,0,7,0,2,4,1,4,4,2,4,0,2,7,1,0,1,3,3,3,1,1,2,5,2,5,4,5,2,3,8,1,6,1,3,1,0,3,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1333",24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1334",3,1,2,5,1,2,2,0,5,7,0,2,3,6,1,4,4,1,3,1,0,3,1,1,4,3,0,1,2,3,6,9,0,0,4,5,5,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1335",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1336",35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1337",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1338",31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1339",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1340",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1341",31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1342",8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1343",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1344",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1345",9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1346",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1347",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1348",3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1349",5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1350",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1351",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1352",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1353",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,2,0,6,0,0,0,0,0,0,0,0,0,0,4,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"1354",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1355",39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1356",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1357",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1358",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1359",8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1360",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1361",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1362",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1363",36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1364",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1365",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1366",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1367",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1368",16,1,1,1,4,2,2,1,6,1,2,7,7,2,0,5,4,0,2,0,0,7,0,1,3,4,3,1,0,9,0,5,0,4,4,5,4,4,1,2,0,3,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1369",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1370",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1371",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1372",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1373",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1374",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1375",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1376",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1377",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1378",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1379",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1380",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1381",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,"No" -"1382",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1383",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1384",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1385",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1386",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1387",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1388",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1389",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1390",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1391",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1392",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1393",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1394",22,1,2,4,5,0,5,3,2,4,1,4,4,5,1,2,4,3,1,1,0,5,2,1,1,2,3,3,1,9,0,5,0,4,5,4,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1395",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1396",2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1397",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1398",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1399",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1400",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1401",33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1402",8,1,3,3,2,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1403",10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1404",12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" -"1405",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1406",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1407",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1408",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1409",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1410",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1411",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1412",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1413",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1414",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1415",40,1,3,3,10,0,8,0,1,7,0,2,2,3,5,0,6,3,2,0,3,4,0,0,3,2,5,0,0,2,7,3,6,0,3,6,0,2,6,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1416",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1417",21,1,2,2,5,0,0,2,7,2,0,7,7,0,2,5,3,2,5,2,0,2,1,1,7,0,1,2,1,9,0,6,2,2,6,3,3,1,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1418",3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1419",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1420",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1421",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1422",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1423",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1424",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1425",35,1,3,3,8,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1426",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1427",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1428",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1429",36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1430",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,"No" -"1431",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1432",25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1433",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1434",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,7,6,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1435",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1436",27,1,3,3,6,0,8,0,1,6,0,3,3,2,4,1,3,5,1,0,3,1,5,0,1,0,3,4,2,3,6,6,2,2,5,4,5,0,5,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1437",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1438",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1439",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1440",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1441",3,1,1,4,1,4,3,1,3,5,2,3,9,0,0,0,0,9,2,0,1,3,3,2,0,0,4,5,0,0,9,7,2,0,4,5,3,0,3,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1442",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1443",8,1,3,3,2,2,3,0,4,7,0,2,1,2,6,3,4,2,2,0,1,6,1,1,3,3,3,1,2,2,7,6,3,0,4,5,2,2,3,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1444",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1445",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1446",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1447",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1448",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1449",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1450",8,2,3,4,2,0,5,1,3,6,1,2,2,3,5,4,4,2,3,2,0,3,2,0,5,2,1,3,1,2,7,6,2,2,3,6,1,2,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1451",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1452",8,1,4,3,2,1,4,0,4,7,2,0,0,0,9,0,4,5,3,0,0,2,2,2,1,2,1,5,0,5,4,8,1,0,6,3,1,2,3,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1453",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1454",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"1455",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1456",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1457",30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1458",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1459",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1460",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1461",11,1,2,4,3,4,4,2,1,4,0,5,4,3,3,1,6,2,2,3,0,6,0,0,1,2,5,2,0,7,2,5,1,4,6,3,4,3,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1462",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1463",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1464",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1465",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1466",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1467",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"1468",28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1469",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1470",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1471",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1472",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"1473",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1474",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1475",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1476",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1477",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1478",27,1,2,5,6,1,4,3,2,5,0,4,4,4,2,3,3,3,2,2,2,4,1,1,2,2,5,1,0,6,3,7,1,2,6,3,2,4,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1479",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1480",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1481",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1482",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1483",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1484",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1485",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1486",6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1487",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1488",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1489",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1490",13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"1491",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1492",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,"No" -"1493",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1494",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1495",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1496",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1497",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1498",9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1499",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1500",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1501",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1502",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1503",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1504",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1505",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1506",38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1507",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1508",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1509",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1510",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1511",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1512",24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1513",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1514",36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1515",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1516",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1517",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1518",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1519",23,1,3,3,5,2,1,5,2,5,1,4,3,4,3,2,5,3,2,0,0,6,1,1,2,2,3,2,2,8,1,3,2,5,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1520",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1521",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1522",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1523",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1524",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1525",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1526",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1527",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1528",24,1,2,3,5,1,6,1,2,7,1,2,1,7,1,1,4,5,0,0,4,1,0,4,4,0,1,5,0,5,4,4,2,3,7,2,0,2,3,4,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1529",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1530",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1531",30,1,2,5,7,2,5,2,1,3,0,6,6,2,2,0,2,7,2,0,1,2,1,5,0,2,3,5,1,2,7,6,0,3,9,0,3,6,1,0,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1532",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1533",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1534",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1535",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1536",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1537",10,1,2,3,3,2,1,0,6,6,0,3,2,4,4,2,4,3,4,0,0,4,1,2,3,2,2,3,0,6,4,5,0,4,5,4,2,5,2,2,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1538",10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1539",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1540",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1541",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1542",32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1543",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1544",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1545",8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1546",10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1547",35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1548",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1549",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1550",37,1,2,2,8,2,3,1,4,5,1,3,4,4,2,0,7,2,0,0,0,9,0,0,0,6,0,3,0,5,4,6,1,3,5,4,2,2,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1551",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1552",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1553",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1554",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1555",24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1556",38,1,3,3,9,0,6,0,4,6,0,4,1,4,5,2,4,3,2,0,2,4,2,1,3,2,3,3,1,7,2,7,2,0,6,3,1,2,4,1,1,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1557",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1558",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1559",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1560",24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1561",10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1562",13,1,5,3,3,0,6,0,3,6,0,3,0,1,8,5,4,1,0,2,0,6,0,2,3,2,2,2,0,8,1,5,2,3,6,3,1,1,4,4,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1563",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1564",3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1565",31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1566",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1567",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,2,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" -"1568",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"1569",23,1,1,2,5,4,1,1,5,0,5,4,5,4,0,2,5,2,1,0,0,2,7,1,1,2,1,7,1,8,1,4,0,5,8,1,4,3,2,2,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1570",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1571",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1572",33,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1573",6,2,4,3,2,1,2,2,5,8,1,1,1,1,8,5,4,1,5,0,0,4,1,0,5,3,2,1,0,2,7,8,1,0,2,7,1,1,5,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1574",24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1575",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1576",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,7,0,0,0,2,3,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1577",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1578",40,1,3,3,10,0,5,1,4,8,0,1,1,4,4,3,3,4,2,1,2,3,2,1,2,2,3,3,1,4,5,6,2,1,6,3,1,3,5,1,1,6,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1579",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1580",3,1,2,4,1,3,5,2,0,9,0,0,0,4,5,4,5,0,0,0,0,4,0,5,0,9,0,0,0,4,5,5,3,2,6,3,0,0,4,0,5,0,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1581",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1582",40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1583",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1584",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1585",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1586",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1587",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1588",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1589",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1590",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1591",9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1592",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1593",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1594",10,3,4,3,3,0,4,0,5,9,0,0,0,0,9,6,3,0,9,0,0,0,0,0,5,0,3,2,0,9,0,0,5,4,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1595",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1596",38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"1597",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1598",30,1,2,5,7,0,5,0,4,5,0,4,4,4,2,0,2,7,0,0,0,3,6,0,0,0,3,5,2,9,0,5,0,4,9,0,6,2,2,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1599",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1600",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1601",32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1602",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1603",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1604",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1605",9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1606",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1607",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1608",8,1,3,3,2,4,0,0,5,6,0,3,2,4,4,1,5,3,3,0,0,6,0,0,2,3,3,3,0,0,9,6,3,0,5,4,0,0,5,2,3,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1609",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1610",27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1611",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1612",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1613",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1614",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1615",39,1,3,2,9,2,5,1,2,5,1,3,1,4,5,0,7,2,4,0,3,1,3,0,3,2,4,2,0,9,0,5,1,3,7,2,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1616",31,1,2,3,7,2,3,2,3,5,2,3,3,3,4,0,3,6,0,0,0,3,3,3,0,1,3,5,1,9,0,4,1,5,8,1,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1617",39,1,2,4,9,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1618",3,1,3,3,1,2,1,1,6,6,2,2,1,5,4,2,5,3,4,1,0,4,2,1,3,2,2,3,1,8,1,6,1,3,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1619",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"1620",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1621",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1622",41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1623",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1624",32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1625",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1626",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1627",35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1628",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"1629",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1630",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1631",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1632",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1633",13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1634",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1635",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,0,0,"Yes" -"1636",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1637",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"1638",33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1639",13,1,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1640",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1641",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1642",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1643",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1644",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1645",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1646",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1647",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1648",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1649",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1650",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1651",11,1,3,3,3,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1652",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1653",2,1,4,2,1,0,4,0,5,5,2,2,2,4,4,2,2,5,0,4,0,0,5,0,0,0,5,4,0,4,5,6,2,2,6,3,3,4,2,1,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1654",41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,4,6,6,0,0,0,6,4,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,1,0,0,0,3,2,0,0,0,0,1,1,0,0,0,0,0,"No" -"1655",39,1,2,4,9,3,4,0,3,5,2,3,2,5,3,3,3,4,2,0,0,4,2,3,0,3,3,2,2,1,8,6,0,3,6,3,6,3,0,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1656",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1657",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1658",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1659",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1660",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1661",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1662",1,1,2,4,1,3,3,1,4,9,0,0,0,5,4,6,3,0,7,1,0,2,0,0,7,2,0,0,0,0,9,2,7,0,0,9,0,0,3,3,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1663",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1664",33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1665",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1666",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1667",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1668",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" -"1669",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1670",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1671",37,1,3,3,8,0,6,1,3,5,2,3,2,4,4,2,4,4,2,0,2,2,3,2,2,2,2,4,1,5,4,7,1,2,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1672",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"1673",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1674",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"1675",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1676",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1677",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1678",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1679",39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1680",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1681",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1682",30,1,2,2,7,2,6,0,2,2,0,7,3,3,4,1,4,4,2,0,1,2,3,3,1,2,2,4,1,4,5,6,0,3,7,2,4,3,3,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1683",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1684",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1685",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1686",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1687",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1688",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1689",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,3,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1690",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,6,0,7,7,0,0,3,0,6,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,4,0,0,2,0,6,0,0,0,0,0,1,0,0,0,0,0,"No" -"1691",26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1692",41,1,3,3,10,0,6,0,3,9,0,0,0,0,9,0,3,6,0,0,3,0,5,2,0,0,2,7,0,3,6,6,3,0,9,0,3,6,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1693",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,2,0,6,0,0,0,1,0,0,0,3,0,0,0,3,0,0,0,2,0,1,1,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,"No" -"1694",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1695",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1696",34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1697",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1698",3,1,3,3,1,2,4,1,4,6,1,3,3,3,4,2,4,4,2,1,1,3,3,3,1,2,2,4,2,5,4,6,1,3,6,3,3,3,2,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1699",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1700",6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1701",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1702",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1703",13,1,2,2,3,3,1,2,5,5,2,3,6,0,3,0,9,0,0,0,0,0,6,3,0,0,3,6,0,9,0,3,0,6,8,1,0,3,0,6,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1704",3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1705",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1706",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1707",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1708",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"1709",31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"1710",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1711",3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1712",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1713",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1714",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1715",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1716",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1717",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1718",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1719",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1720",9,2,4,3,3,4,4,0,2,8,1,1,1,1,8,1,4,4,2,0,0,5,1,2,2,2,2,4,0,6,3,9,0,0,4,5,3,1,6,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1721",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1722",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1723",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1724",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1725",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1726",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1727",35,1,3,2,8,7,0,0,2,6,3,0,0,4,5,2,2,6,3,0,0,1,5,0,1,2,0,6,0,3,6,5,0,4,6,3,5,0,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1728",8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1729",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1730",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1731",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1732",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1733",8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"1734",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1735",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1736",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1737",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1738",33,1,3,3,8,2,1,2,5,6,2,1,4,3,3,0,5,4,2,0,0,4,3,2,3,3,0,3,0,0,9,6,1,3,5,4,5,4,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1739",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1740",31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,4,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"1741",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1742",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1743",8,1,3,4,2,4,1,0,5,8,0,1,1,5,4,7,2,0,7,1,0,2,0,0,7,1,2,0,0,0,9,7,2,0,2,7,0,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1744",22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1745",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1746",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1747",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1748",32,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1749",35,1,2,3,8,1,5,1,3,7,1,2,4,5,0,0,0,9,3,1,1,2,3,2,0,0,9,0,0,4,5,7,1,2,5,4,3,6,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"1750",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1751",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1752",3,1,2,4,1,2,5,2,2,5,0,4,2,5,3,3,5,2,2,0,1,4,1,3,3,3,2,3,0,2,7,7,0,2,4,5,2,2,3,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1753",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1754",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1755",39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1756",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1757",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1758",35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1759",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1760",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1761",24,1,2,2,5,2,3,2,3,3,2,4,4,3,3,5,2,3,4,0,0,3,1,2,4,1,2,3,0,6,3,4,0,5,7,2,4,2,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1762",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1763",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1764",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1765",25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1766",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1767",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1768",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1769",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1770",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1771",1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1772",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1773",13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1774",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"1775",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"1776",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1777",38,1,3,3,9,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1778",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1779",35,1,2,4,8,4,0,0,5,5,3,2,4,3,2,3,6,0,7,0,0,0,0,2,6,0,3,0,0,7,2,7,2,0,5,4,0,0,9,0,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1780",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1781",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1782",8,2,4,3,2,2,2,0,5,9,0,0,0,0,9,2,7,0,2,0,0,7,0,0,2,2,6,0,0,0,9,5,4,0,0,9,0,4,4,2,0,5,8,1,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"1783",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1784",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1785",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1786",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1787",7,1,2,3,2,0,3,0,6,6,3,0,2,5,4,4,4,2,5,0,0,2,2,0,4,3,2,2,0,6,3,5,3,2,3,6,2,1,4,0,3,7,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1788",22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1789",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1790",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1791",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1792",3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1793",30,1,3,3,7,1,2,2,6,6,2,2,2,3,5,0,3,6,0,0,0,3,0,6,1,2,2,5,1,9,0,5,1,3,8,1,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1794",8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,5,0,0,0,0,0,0,0,7,0,2,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,4,0,1,0,1,0,0,0,0,1,"No" -"1795",33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1796",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1797",19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1798",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1799",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1800",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1801",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1802",23,5,1,3,5,4,1,0,5,1,2,6,6,3,1,1,6,3,1,0,0,8,0,1,0,4,2,3,0,8,1,3,1,6,8,1,5,2,2,1,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1803",24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1804",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1805",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1806",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1807",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1808",32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1809",12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1810",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1811",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"1812",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1813",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1814",3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1815",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"1816",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1817",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1818",36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1819",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1820",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1821",25,3,2,3,6,3,2,4,3,3,0,6,5,2,3,1,6,2,3,0,0,3,1,4,2,1,3,4,0,5,4,3,0,6,7,2,3,2,3,2,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1822",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1823",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1824",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1825",39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1826",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1827",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1828",1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1829",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1830",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1831",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1832",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1833",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1834",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1835",32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1836",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1837",7,1,3,3,2,3,0,0,6,9,0,0,0,6,3,2,4,4,2,0,0,3,3,2,2,2,3,4,0,2,7,6,0,3,4,5,0,2,4,4,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1838",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1839",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1840",41,1,3,2,10,0,7,0,2,9,0,0,0,3,6,2,5,2,0,0,2,5,2,0,4,4,0,2,0,4,5,4,5,0,5,4,2,5,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1841",37,1,2,1,8,4,3,1,3,5,2,3,0,9,0,0,6,3,0,0,0,9,0,0,0,4,0,0,5,5,5,7,2,0,4,5,0,0,6,3,0,7,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1842",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1843",11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1844",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1845",41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1846",41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1847",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1848",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1849",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1850",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1851",25,1,2,4,6,1,2,1,6,3,2,4,4,4,2,2,5,2,2,0,0,5,1,2,1,2,4,2,2,8,1,7,1,2,6,3,4,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1852",33,1,2,4,8,0,5,0,4,5,0,4,3,4,3,0,0,9,0,0,0,0,5,4,0,0,0,7,2,6,3,6,1,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1853",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1854",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1855",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1856",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1857",11,1,3,2,3,2,0,5,2,5,0,5,0,3,6,0,5,4,0,0,0,5,4,0,0,5,0,4,0,3,6,6,3,0,5,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1858",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1859",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1860",5,1,1,1,1,3,0,2,5,5,1,3,5,4,0,5,5,0,0,0,0,2,0,7,0,2,7,0,0,9,0,2,2,6,9,0,7,0,0,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1861",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,4,0,0,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1862",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1863",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1864",18,2,1,1,4,1,3,0,5,0,1,8,8,1,0,5,4,0,2,0,0,5,0,2,1,2,5,2,0,9,0,2,0,7,6,3,8,1,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1865",1,1,3,3,1,1,5,1,3,8,0,1,1,4,5,7,2,0,3,1,0,6,0,1,5,4,1,0,0,0,9,6,2,2,2,7,1,1,6,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1866",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1867",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" -"1868",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1869",3,1,2,5,1,0,5,0,4,4,0,5,4,3,3,2,2,6,5,0,0,4,0,0,2,0,2,0,6,4,5,5,2,4,5,4,3,3,0,3,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1870",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1871",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1872",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1873",35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1874",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"1875",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1876",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1877",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1878",12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1879",2,1,3,3,1,2,4,2,2,9,0,0,0,4,5,5,4,1,5,4,0,1,0,1,8,1,0,1,0,0,9,3,6,0,1,8,1,3,4,2,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1880",40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1881",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1882",5,1,3,4,1,0,7,1,1,7,0,2,1,4,4,0,5,4,3,0,2,4,0,1,0,3,3,2,2,2,7,6,1,2,3,6,4,1,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1883",3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,1,0,3,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,2,0,1,"No" -"1884",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1885",4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1886",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1887",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1888",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1889",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1890",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1891",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1892",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1893",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1894",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,6,0,0,0,2,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"1895",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1896",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1897",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1898",34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1899",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1900",26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1901",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1902",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1903",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1904",1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"1905",32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1906",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1907",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1908",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1909",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1910",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"1911",36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1912",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1913",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1914",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1915",11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1916",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1917",40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1918",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1919",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1920",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1921",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1922",31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1923",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1924",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" -"1925",7,1,3,3,2,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1926",26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1927",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1928",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1929",32,1,3,2,7,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1930",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1931",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1932",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1933",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1934",1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1935",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1936",8,1,4,2,2,2,2,2,4,9,0,0,0,2,7,2,7,0,2,0,0,7,0,0,3,6,0,0,0,0,9,7,2,0,6,3,0,0,5,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"1937",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1938",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1939",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1940",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1941",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1942",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1943",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"1944",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1945",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1946",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1947",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1948",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1949",31,1,3,3,7,0,2,3,4,4,3,3,3,4,3,0,2,7,0,0,0,0,3,6,0,0,2,5,2,9,0,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1950",13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1951",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1952",20,1,2,3,5,3,3,2,3,5,1,4,4,2,3,1,3,6,0,0,0,1,5,4,1,1,1,6,3,8,1,4,0,5,9,0,5,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1953",11,1,2,3,3,0,5,0,4,6,0,3,4,3,2,1,5,4,1,0,1,1,3,4,1,1,6,3,1,0,9,6,3,0,4,5,0,2,7,1,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1954",5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"1955",23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1956",24,2,2,3,5,1,1,0,8,8,0,1,2,4,4,2,5,3,2,1,0,6,1,2,1,2,2,5,1,1,8,7,2,0,4,5,2,7,1,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1957",32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1958",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1959",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1960",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"1961",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1962",13,1,3,2,3,3,3,0,4,6,0,4,2,3,4,2,5,2,1,0,0,5,1,3,1,3,3,2,2,4,5,5,2,2,7,2,0,5,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1963",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1964",13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1965",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1966",1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1967",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"1968",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1969",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1970",30,1,2,3,7,3,2,1,4,6,1,3,0,9,0,0,5,5,9,0,0,0,0,0,0,4,5,0,0,0,9,5,1,3,5,4,3,3,3,2,1,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1971",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1972",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1973",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1974",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1975",8,1,3,3,2,0,5,0,4,9,0,0,0,2,7,3,4,2,6,0,1,0,2,0,6,1,0,2,1,4,5,7,2,0,7,2,1,1,8,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1976",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1977",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1978",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1979",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1980",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1981",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1982",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1983",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1984",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"1985",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1986",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1987",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1988",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1989",9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1990",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,2,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,1,"No" -"1991",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1992",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"1993",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"1994",37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1995",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"1996",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1997",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1998",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"1999",1,1,3,3,1,1,5,0,4,7,0,2,2,2,6,3,5,1,6,0,0,3,0,1,4,1,5,0,0,0,9,7,2,0,2,7,2,1,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2000",10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"2001",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2002",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2003",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2004",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2005",2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2006",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2007",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2008",23,2,2,3,5,3,2,0,5,3,2,5,5,3,1,2,7,1,3,0,0,4,0,2,1,3,3,3,1,1,8,4,0,5,6,3,2,2,7,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2009",38,1,3,2,9,3,6,1,1,5,0,4,2,1,7,1,5,4,1,0,0,3,1,5,1,1,5,4,1,9,0,8,1,1,8,1,3,5,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2010",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2011",36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2012",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2013",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2014",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2015",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2016",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2017",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2018",35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2019",25,1,2,4,6,1,2,1,7,1,1,7,5,4,1,3,3,3,1,0,0,4,3,3,1,2,4,2,2,8,1,2,0,7,7,2,6,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2020",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2021",36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2022",38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2023",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2024",39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2025",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2026",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2027",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,5,0,0,5,0,2,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"2028",38,1,4,2,9,2,6,0,2,4,0,5,0,0,9,5,2,2,3,0,0,3,3,0,0,3,3,4,0,5,4,7,0,2,2,7,2,0,4,4,0,7,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2029",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2030",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2031",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2032",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2033",37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2034",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2035",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2036",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2037",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2038",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2039",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2040",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2041",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2042",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2043",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2044",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2045",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2046",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2047",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2048",6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2049",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2050",24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2051",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2052",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2053",29,1,2,3,7,0,5,0,4,7,2,0,0,6,3,0,0,9,0,0,0,2,2,5,0,0,0,6,3,4,5,8,0,1,8,1,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2054",8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2055",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2056",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2057",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2058",34,1,3,3,8,0,4,0,5,6,0,3,3,4,3,0,0,9,2,1,2,3,3,1,0,0,0,4,5,2,7,7,1,2,6,3,2,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2059",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2060",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2061",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2062",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2063",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2064",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2065",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2066",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2067",29,1,2,3,7,4,1,0,4,4,2,4,3,3,3,1,6,3,3,1,0,4,1,2,1,2,2,4,1,3,6,2,2,5,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2068",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2069",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2070",3,1,3,3,1,0,6,0,3,3,1,5,3,2,5,0,4,6,2,0,0,2,3,4,2,0,2,5,2,2,7,6,1,2,6,3,3,6,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2071",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2072",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2073",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2074",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2075",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2076",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2077",33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2078",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2079",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2080",10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2081",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2082",9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2083",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2084",41,1,3,3,10,0,5,0,4,9,0,0,0,4,5,1,3,6,1,0,2,0,6,0,2,1,0,5,3,4,5,8,1,0,5,4,2,2,6,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2085",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2086",10,1,4,2,3,0,3,4,2,9,0,0,0,1,8,1,7,1,2,0,0,4,0,4,2,3,5,1,0,0,9,5,4,0,2,7,0,1,4,4,1,6,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2087",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2088",35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2089",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2090",4,3,2,4,1,1,2,0,6,4,1,4,4,3,2,4,2,3,1,1,0,6,1,1,2,2,2,4,1,4,5,4,2,4,5,4,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2091",9,2,2,2,3,2,3,1,5,4,0,5,4,3,3,2,5,3,1,0,0,4,1,4,1,3,3,3,1,5,4,7,0,2,6,3,4,3,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2092",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2093",40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2094",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2095",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2096",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2097",24,1,3,2,5,0,0,3,6,6,2,1,1,4,4,1,5,4,2,0,0,3,2,4,2,1,4,3,2,8,1,7,0,2,7,2,3,2,3,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2098",8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2099",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" -"2100",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"2101",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2102",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2103",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2104",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2105",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2106",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2107",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2108",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"2109",32,1,3,4,7,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2110",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2111",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2112",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2113",13,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2114",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2115",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2116",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2117",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2118",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2119",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2120",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2121",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2122",39,1,3,3,9,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2123",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2124",39,1,3,3,9,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2125",24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2126",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2127",24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2128",31,1,1,4,7,0,5,1,3,6,1,3,5,4,1,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,6,1,2,6,3,3,6,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2129",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2130",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2131",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2132",11,1,2,3,3,0,3,0,6,8,0,1,1,6,3,2,5,2,2,0,1,5,0,2,1,5,2,2,0,0,9,7,1,2,5,4,0,3,3,4,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2133",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2134",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2135",35,1,2,3,8,1,4,2,3,6,0,3,0,5,5,0,5,5,2,0,0,4,1,3,9,0,0,0,0,5,5,4,0,5,8,1,5,3,2,0,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2136",1,1,2,3,1,2,4,0,4,9,0,0,1,5,4,6,3,0,7,0,1,2,0,0,7,1,2,0,0,2,7,7,2,0,0,9,0,2,3,3,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2137",41,1,2,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2138",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2139",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2140",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2141",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2142",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2143",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2144",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2145",6,1,2,4,2,1,3,1,5,6,1,3,2,7,0,2,0,7,2,1,1,3,2,3,2,2,2,3,2,9,0,6,2,2,6,3,5,0,4,0,0,4,8,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2146",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2147",22,1,2,3,5,2,5,1,2,4,1,4,2,5,3,2,3,5,3,2,1,2,1,3,2,1,2,2,3,3,6,6,1,2,6,3,3,3,4,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2148",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2149",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2150",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2151",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2152",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2153",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2154",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2155",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2156",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2157",37,1,3,3,8,0,7,1,1,7,0,2,3,2,5,0,5,4,1,0,2,3,2,2,2,3,0,3,3,4,5,5,2,2,4,5,3,4,0,0,3,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2158",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2159",39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2160",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2161",5,1,2,2,1,6,0,1,3,2,2,6,6,2,1,6,3,1,3,2,0,3,1,2,3,2,3,2,1,6,3,3,1,5,3,6,6,1,1,1,1,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2162",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2163",6,1,3,3,2,0,8,0,1,8,0,1,1,1,7,0,7,2,4,0,2,1,0,3,3,1,5,1,0,0,9,3,3,3,2,7,4,2,4,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2164",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2165",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2166",32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2167",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2168",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2169",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2170",33,1,2,2,8,2,2,0,6,6,3,0,1,7,2,0,1,8,0,0,0,0,8,1,0,0,0,8,1,9,0,9,0,0,9,0,3,4,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2171",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2172",3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2173",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2174",31,1,2,3,7,0,2,0,7,5,2,2,0,5,4,0,0,9,0,0,0,0,2,7,0,0,0,6,3,9,0,5,0,4,7,2,4,5,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2175",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2176",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2177",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2178",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2179",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,7,0,0,0,2,0,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"2180",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2181",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2182",39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2183",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2184",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2185",38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2186",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2187",39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2188",36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2189",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2190",19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2191",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2192",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2193",35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2194",33,1,3,3,8,0,5,1,4,6,1,3,2,3,5,1,3,6,1,0,1,2,4,2,1,1,2,5,1,5,4,5,2,3,7,2,4,2,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2195",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2196",11,1,2,4,3,2,5,0,2,5,0,4,3,4,2,3,6,0,9,0,0,0,0,0,3,0,2,5,0,7,2,7,0,2,2,7,0,4,2,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2197",32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2198",33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2199",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2200",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2201",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2202",1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2203",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2204",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2205",11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2206",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2207",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2208",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2209",9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2210",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2211",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2212",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,7,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2213",10,1,3,2,3,2,4,0,4,9,0,0,0,0,9,5,4,0,5,0,0,4,0,0,5,2,3,0,0,0,9,5,4,0,2,7,0,5,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2214",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2215",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2216",23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2217",11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2218",38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2219",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2220",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2221",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2222",26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2223",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2224",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2225",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2226",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2227",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2228",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2229",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2230",1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"2231",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2232",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2233",27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2234",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2235",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2236",8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2237",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2238",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2239",22,1,2,2,5,2,3,0,5,2,3,4,1,4,4,4,1,5,0,0,0,5,0,5,0,3,1,1,5,9,0,5,0,4,9,0,5,3,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2240",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2241",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"2242",41,1,1,2,10,1,4,1,4,7,1,2,5,4,0,0,5,4,0,0,0,4,0,5,0,0,5,4,0,0,9,6,2,1,5,4,5,0,0,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2243",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2244",33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2245",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2246",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2247",5,1,2,4,1,1,3,1,5,5,1,4,3,4,3,1,3,6,2,0,0,2,2,4,1,2,2,4,2,4,5,4,1,4,7,2,4,3,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2248",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2249",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2250",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2251",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2252",26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2253",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2254",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2255",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2256",30,1,2,4,7,0,5,0,4,5,1,4,4,2,3,0,3,6,0,0,2,2,3,4,0,1,4,2,3,3,6,5,0,4,9,0,6,2,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2257",13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2258",5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2259",10,1,3,2,3,1,6,0,3,6,1,2,0,0,9,1,6,3,3,0,0,0,4,3,1,0,6,3,0,9,0,6,3,1,5,4,4,3,2,2,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2260",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2261",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2262",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2263",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2264",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2265",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2266",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2267",13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2268",29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2269",3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2270",37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2271",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"2272",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2273",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2274",7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2275",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2276",23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2277",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2278",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2279",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2280",5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2281",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2282",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2283",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2284",10,1,4,3,3,0,6,0,3,3,2,5,0,4,5,4,0,5,4,1,2,2,2,0,4,0,0,3,3,0,9,7,1,2,6,3,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2285",36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2286",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2287",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2288",35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2289",11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2290",1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2291",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2292",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2293",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2294",40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2295",3,1,2,4,1,2,4,1,3,6,0,3,3,4,3,3,6,1,6,3,0,1,1,0,5,1,3,1,0,1,8,5,3,1,3,6,1,0,3,4,2,8,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2296",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2297",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2298",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2299",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2300",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2301",8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2302",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2303",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2304",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2305",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2306",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2307",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2308",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2309",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2310",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2311",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2312",32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2313",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2314",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2315",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2316",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2317",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2318",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2319",18,1,2,2,4,0,1,0,8,4,1,5,5,3,2,6,3,0,5,1,0,3,1,0,3,2,3,2,0,4,5,4,0,5,2,7,3,2,3,2,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2320",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2321",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2322",1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2323",31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" -"2324",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2325",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2326",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2327",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2328",11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2329",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2330",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2331",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2332",41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2333",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2334",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2335",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2336",35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2337",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2338",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2339",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2340",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2341",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2342",1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2343",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2344",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2345",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2346",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2347",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2348",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2349",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2350",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2351",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2352",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2353",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2354",40,1,2,4,10,2,7,0,0,6,0,3,3,3,4,2,3,4,2,1,6,1,0,0,2,2,6,0,0,0,9,6,3,0,5,4,6,1,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2355",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" -"2356",26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2357",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2358",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2359",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2360",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2361",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2362",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2363",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2364",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2365",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2366",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2367",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"2368",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2369",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2370",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2371",10,1,3,3,3,1,5,1,2,7,1,1,2,4,4,3,4,3,2,1,1,3,2,1,3,2,2,2,2,5,4,0,5,4,4,5,3,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2372",31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2373",33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2374",8,1,3,3,2,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2375",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2376",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2377",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2378",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2379",8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2380",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"2381",39,1,2,3,9,1,4,0,4,9,0,0,0,5,4,2,4,3,3,1,1,3,1,2,3,2,1,3,2,1,8,5,4,0,6,3,3,4,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2382",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2383",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2384",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2385",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2386",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2387",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2388",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2389",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2390",36,1,2,4,8,7,0,0,2,9,0,0,0,7,2,3,4,2,5,0,0,0,0,4,3,2,3,0,2,2,7,7,1,2,4,5,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2391",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2392",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2393",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2394",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2395",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2396",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2397",36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2398",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2399",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,0,5,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,2,0,0,0,0,0,"No" -"2400",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2401",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2402",8,1,3,3,2,0,6,1,3,8,0,1,0,3,6,3,5,2,1,1,0,5,1,2,1,3,4,2,0,3,6,8,1,0,3,6,2,4,3,2,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2403",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2404",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2405",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2406",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2407",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2408",6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2409",36,1,3,3,8,2,6,0,2,7,2,0,0,5,4,0,5,4,0,0,2,3,4,1,0,0,5,4,0,9,0,7,2,0,5,4,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2410",32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2411",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2412",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,"No" -"2413",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2414",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2415",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2416",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2417",33,1,3,3,8,1,6,0,3,6,0,3,0,4,5,2,4,4,0,0,0,2,5,3,0,2,3,5,0,3,6,9,0,0,9,0,4,5,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2418",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2419",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2420",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2421",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,1,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2422",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2423",33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2424",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2425",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,4,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2426",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2427",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2428",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2429",8,1,2,3,2,0,5,1,4,6,2,2,2,4,3,1,5,4,2,0,0,3,2,4,1,3,3,3,1,4,5,5,2,3,5,4,5,2,2,0,0,3,7,0,0,0,7,7,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"2430",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2431",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2432",38,1,3,3,9,1,7,1,0,7,0,2,4,1,4,1,5,4,1,0,0,4,5,1,1,3,1,5,1,5,4,4,0,5,8,1,1,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2433",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2434",30,1,2,4,7,0,6,0,3,3,0,6,5,2,2,0,3,6,0,0,2,2,0,5,0,2,2,1,5,7,2,9,0,0,0,9,5,2,2,1,0,3,2,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2435",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2436",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2437",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2438",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2439",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2440",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2441",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2442",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2443",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2444",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2445",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2446",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2447",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2448",2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2449",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2450",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2451",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"2452",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2453",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,5,0,3,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2454",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2455",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,4,3,0,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" -"2456",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2457",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2458",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2459",26,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,2,1,7,1,1,1,1,7,9,0,5,0,4,9,0,4,5,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2460",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2461",3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2462",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2463",36,1,3,3,8,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2464",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2465",39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2466",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2467",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2468",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2469",6,1,5,3,2,2,5,0,2,8,0,1,1,1,8,8,1,0,7,0,0,2,0,0,8,1,0,0,0,0,9,8,1,0,1,8,0,0,4,2,3,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2470",37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2471",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2472",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2473",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2474",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2475",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2476",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2477",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2478",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2479",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2480",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2481",12,1,2,2,3,2,3,2,3,9,0,0,1,6,3,5,4,0,0,0,0,0,8,1,7,0,1,2,0,0,9,7,0,2,5,4,0,0,1,2,7,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2482",22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2483",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2484",21,3,2,3,5,2,3,2,4,4,1,5,5,2,3,3,3,4,4,0,0,3,2,1,3,1,2,3,2,9,0,2,0,7,6,3,5,3,2,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2485",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2486",8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2487",8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2488",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2489",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2490",38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2491",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2492",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2493",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2494",36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2495",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"2496",8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2497",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2498",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2499",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2500",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2501",7,2,3,2,2,0,3,0,6,6,2,2,0,4,5,4,3,2,3,2,0,5,0,0,4,3,0,3,0,0,9,5,1,3,4,5,0,5,4,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2502",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2503",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2504",9,2,3,2,3,2,2,0,6,8,1,1,0,3,6,1,7,1,1,1,0,7,1,1,1,6,1,1,0,5,4,8,1,1,8,1,1,4,4,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,"No" -"2505",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2506",39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2507",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2508",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2509",3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2510",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2511",38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2512",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2513",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2514",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2515",3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2516",24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2517",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2518",35,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2519",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2520",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2521",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2522",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2523",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2524",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2525",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2526",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2527",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2528",10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2529",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2530",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2531",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2532",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2533",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2534",40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2535",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2536",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2537",31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2538",23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2539",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2540",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2541",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2542",18,2,2,2,4,1,1,1,7,3,2,5,5,3,1,4,4,3,3,1,1,4,1,2,3,3,1,3,1,7,2,3,1,6,5,4,4,2,2,2,2,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2543",37,1,3,3,8,0,2,2,7,5,0,4,2,4,4,2,5,3,1,0,0,3,3,2,1,3,4,2,0,9,0,9,0,0,5,4,2,4,3,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2544",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2545",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2546",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2547",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2548",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2549",18,1,1,3,4,1,2,1,7,2,1,6,7,1,1,3,3,3,2,0,0,3,1,4,1,2,4,4,1,9,0,4,0,5,8,1,7,1,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2550",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2551",41,1,3,3,10,0,9,0,0,9,0,0,0,3,6,0,2,7,0,0,4,3,3,0,0,0,5,4,0,0,9,6,3,0,4,5,3,4,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2552",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2553",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2554",23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2555",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2556",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2557",26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2558",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2559",27,1,1,5,6,1,2,2,5,2,0,7,6,3,1,1,3,6,1,1,0,4,2,4,1,1,2,4,3,8,1,2,1,7,8,1,8,1,0,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2560",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2561",31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2562",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2563",41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2564",30,1,2,3,7,0,6,0,3,4,1,4,4,3,2,4,2,4,2,0,0,2,2,4,2,2,3,3,1,6,3,0,0,9,2,7,7,1,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2565",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2566",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2567",33,1,3,3,8,1,4,1,4,9,0,0,0,5,4,0,1,8,0,0,0,1,4,4,0,1,0,4,5,1,8,4,1,4,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2568",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2569",11,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2570",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2571",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2572",24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2573",30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2574",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2575",32,1,2,3,7,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2576",11,1,3,4,3,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2577",22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2578",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2579",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2580",30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2581",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,2,0,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2582",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2583",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2584",8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2585",35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"2586",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2587",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2588",33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2589",12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2590",8,2,4,2,2,2,4,1,3,9,0,0,0,2,7,2,5,3,1,0,0,5,2,2,1,4,2,2,1,3,6,8,0,1,7,2,2,3,4,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2591",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2592",26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2593",27,1,3,3,6,3,2,2,3,5,1,3,3,2,4,1,5,4,2,1,1,2,3,2,2,2,2,4,2,3,6,6,0,3,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2594",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,3,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2595",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2596",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2597",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2598",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2599",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2600",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2601",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2602",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2603",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2604",2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2605",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2606",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2607",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2608",39,1,4,3,9,0,7,0,2,9,0,0,0,4,5,0,4,5,0,0,3,0,6,0,0,0,3,6,0,0,9,7,2,0,5,4,0,0,9,0,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"Yes" -"2609",8,1,3,3,2,4,2,0,4,9,0,0,0,5,5,3,4,3,4,0,0,3,0,3,4,3,0,3,0,9,0,9,0,0,5,4,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2610",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2611",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,3,0,0,0,2,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"2612",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2613",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2614",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2615",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2616",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2617",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2618",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2619",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2620",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2621",22,1,2,3,5,3,2,0,5,2,2,6,3,6,1,0,7,2,0,0,0,5,2,2,2,3,2,3,0,4,5,3,0,6,7,2,0,2,5,0,2,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2622",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2623",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2624",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2625",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2626",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2627",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2628",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2629",35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2630",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2631",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" -"2632",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2633",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2634",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2635",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2636",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2637",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2638",3,1,2,3,1,0,5,0,4,6,0,3,2,4,4,3,3,3,4,0,0,5,0,0,1,3,2,5,0,4,5,7,0,2,2,7,3,3,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2639",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2640",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2641",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2642",40,1,2,4,10,0,6,0,3,6,0,3,3,6,1,1,4,4,0,0,2,3,2,4,1,1,3,4,2,1,8,5,2,2,6,3,2,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2643",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2644",5,1,2,5,1,0,4,0,5,5,2,3,4,4,2,3,6,0,3,0,0,5,0,1,3,2,5,1,0,2,7,7,0,2,3,6,0,3,5,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2645",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,3,6,0,0,0,0,6,2,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"2646",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"2647",3,1,2,3,1,0,4,1,4,6,0,3,3,3,3,1,2,6,2,0,0,3,4,1,1,2,2,5,2,5,4,6,3,0,0,9,4,0,4,1,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2648",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2649",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2650",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2651",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2652",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2653",9,1,3,2,3,0,6,0,3,8,0,1,1,1,8,2,6,2,2,0,0,6,1,2,1,6,1,2,0,9,0,4,3,2,5,4,1,3,3,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2654",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2655",21,2,2,1,5,0,0,0,9,0,0,9,5,3,2,0,7,2,0,0,3,0,0,6,0,2,5,3,0,9,0,2,0,7,7,2,6,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2656",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2657",38,1,2,2,9,0,2,2,7,4,1,4,3,4,3,0,7,2,0,0,0,3,0,6,0,3,3,4,0,0,9,4,0,5,8,1,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2658",10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2659",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2660",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2661",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2662",4,2,2,4,1,1,4,1,4,4,2,4,4,4,1,3,5,2,4,2,2,1,1,2,5,1,3,1,1,5,4,2,1,7,4,5,4,3,2,2,1,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,"No" -"2663",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2664",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2665",36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" -"2666",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2667",10,1,3,3,3,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,8,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"2668",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2669",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2670",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2671",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2672",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2673",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2674",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2675",41,1,3,3,10,0,5,2,3,7,0,2,2,3,5,0,5,4,5,0,3,0,0,2,3,1,4,2,0,3,6,4,5,0,4,5,3,3,0,4,0,6,4,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2676",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2677",11,1,3,3,3,0,3,2,5,6,1,3,3,3,4,2,2,6,2,0,1,2,3,4,2,1,2,4,2,1,8,4,0,5,7,2,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2678",25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2679",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2680",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2681",11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2682",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2683",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2684",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2685",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2686",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2687",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2688",38,1,2,2,9,2,2,0,5,0,3,6,6,2,2,0,3,6,1,0,0,3,4,2,0,1,3,4,3,8,1,5,0,4,9,0,7,2,0,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2689",9,1,2,3,3,6,0,0,3,7,2,0,0,7,2,1,6,3,2,0,1,2,4,2,1,1,6,2,0,8,1,3,2,4,7,2,1,5,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2690",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,0,3,0,0,0,0,6,5,0,0,0,0,0,0,6,4,0,0,0,0,0,0,1,0,0,0,0,1,3,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"2691",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2692",10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2693",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2694",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2695",41,1,4,3,10,5,4,0,0,5,3,2,0,4,5,0,0,9,0,0,3,0,4,3,0,0,2,3,4,0,9,6,2,2,6,3,7,0,0,2,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2696",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2697",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2698",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2699",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2700",8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2701",29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2702",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2703",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2704",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2705",1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2706",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2707",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2708",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2709",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2710",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2711",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2712",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2713",35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2714",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2715",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2716",33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2717",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2718",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2719",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2720",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2721",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2722",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2723",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2724",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2725",3,1,2,4,1,0,2,0,7,6,0,3,1,5,4,5,3,2,5,0,2,3,1,0,4,0,5,1,1,4,5,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2726",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2727",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2728",9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2729",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2730",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2731",24,1,2,3,5,3,3,0,3,2,2,6,6,2,2,3,3,3,2,0,0,3,2,3,2,0,5,3,0,6,3,3,0,6,6,3,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2732",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2733",8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2734",22,1,3,2,5,6,0,0,3,6,3,0,1,3,5,1,5,4,1,0,0,4,2,4,1,1,4,4,1,9,0,6,3,0,9,0,5,2,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2735",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2736",9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2737",35,1,3,3,8,0,7,1,1,7,0,2,0,0,9,0,2,7,3,0,0,2,0,5,0,2,3,5,0,0,9,5,2,2,4,5,0,0,3,6,0,8,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2738",9,1,2,2,3,2,2,1,5,4,1,4,4,2,4,2,6,2,4,1,0,4,2,1,3,2,2,2,1,8,1,4,2,4,5,4,3,3,3,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2739",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2740",3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2741",31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2742",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2743",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2744",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,3,3,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" -"2745",5,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2746",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2747",35,1,3,3,8,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2748",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2749",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2750",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2751",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2752",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2753",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2754",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2755",32,1,2,5,7,1,5,4,1,7,1,1,2,6,2,3,5,2,3,0,0,5,1,1,3,3,2,2,1,8,1,6,1,3,6,3,5,1,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2756",27,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2757",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2758",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2759",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2760",36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2761",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2762",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2763",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2764",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2765",23,1,2,2,5,0,1,1,7,3,2,5,4,4,2,3,6,1,4,0,0,3,2,1,3,2,1,4,1,5,4,9,0,0,4,6,2,2,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"2766",41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"2767",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2768",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2769",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" -"2770",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2771",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2772",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2773",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2774",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2775",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2776",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2777",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2778",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2779",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2780",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2781",7,1,4,2,2,0,4,0,5,9,0,0,0,2,7,3,4,3,1,0,0,6,3,1,1,4,3,3,0,0,9,8,1,0,5,4,1,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2782",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2783",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2784",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,2,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2785",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"2786",35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2787",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2788",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2789",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,3,3,6,0,0,0,2,3,0,0,0,0,0,0,3,0,0,0,0,0,0,1,1,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2790",35,1,3,3,8,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2791",1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2792",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2793",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2794",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2795",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2796",33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2797",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2798",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"2799",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2800",21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2801",36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2802",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2803",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2804",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2805",5,1,2,3,1,0,3,3,5,9,0,0,3,5,2,2,4,3,0,0,0,4,3,3,0,3,1,4,2,2,7,7,0,2,4,5,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2806",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2807",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2808",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2809",24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2810",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2811",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2812",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2813",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2814",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" -"2815",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2816",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2817",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2818",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2819",36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2820",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2821",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2822",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2823",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2824",3,1,3,3,1,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"2825",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2826",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2827",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,6,5,0,4,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,1,1,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2828",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2829",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2830",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2831",26,1,3,3,6,0,4,1,4,6,1,3,2,5,3,2,3,5,2,0,1,3,2,3,1,2,3,3,2,3,6,4,0,5,7,2,3,3,2,2,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2832",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2833",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2834",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2835",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2836",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2837",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2838",3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2839",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2840",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2841",13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2842",8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2843",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2844",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2845",8,1,4,3,2,2,6,1,2,7,1,2,0,0,9,5,4,0,3,0,0,3,0,4,3,2,5,0,0,0,9,5,2,2,7,2,0,3,5,3,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2846",13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2847",39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2848",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2849",2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2850",24,1,3,2,5,2,2,0,6,6,3,0,0,0,9,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,9,0,0,9,0,0,9,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2851",32,1,3,3,7,3,2,0,5,3,1,6,0,5,4,4,5,0,1,0,0,3,2,4,0,0,5,4,0,9,0,5,0,4,7,2,0,4,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2852",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2853",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2854",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"2855",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2856",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"2857",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2858",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2859",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2860",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2861",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"2862",18,1,1,2,4,3,2,0,5,2,0,7,6,2,1,5,4,1,0,0,0,5,3,1,2,1,3,4,1,5,4,4,0,5,6,3,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2863",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2864",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2865",37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2866",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2867",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2868",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2869",37,2,3,4,8,3,3,1,3,9,0,0,2,4,3,2,5,2,3,1,0,2,2,3,2,1,4,3,0,3,6,9,0,0,5,4,3,4,3,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2870",10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2871",33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2872",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2873",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2874",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2875",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2876",2,1,2,3,1,3,4,0,3,9,0,0,3,3,3,2,5,2,5,3,0,2,0,0,4,2,0,3,0,5,4,9,0,0,0,9,2,0,6,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2877",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2878",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2879",41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2880",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2881",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2882",38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2883",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2884",36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2885",12,1,2,2,3,5,2,1,2,6,1,2,2,5,3,2,4,3,2,0,0,2,3,3,2,2,2,4,1,5,4,3,4,2,7,2,1,2,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2886",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2887",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2888",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2889",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2890",3,1,3,2,1,0,2,2,6,5,2,3,3,3,4,2,5,3,2,0,0,4,1,3,2,2,3,1,3,3,6,6,0,3,7,2,5,1,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2891",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2892",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2893",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2894",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2895",22,1,2,2,5,1,6,2,2,7,1,2,5,3,2,0,5,4,0,0,0,0,9,0,0,0,0,6,3,5,4,7,1,2,7,2,3,4,0,3,0,4,2,2,0,0,6,0,6,0,0,0,0,0,4,0,0,0,2,0,0,1,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"Yes" -"2896",16,1,1,3,4,1,1,1,7,2,1,7,6,3,1,5,2,2,3,0,0,2,1,4,2,1,4,3,2,6,3,3,0,6,6,3,8,1,1,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2897",10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"2898",31,1,3,3,7,1,2,2,6,7,2,1,1,4,5,1,4,4,2,0,0,4,2,2,1,2,2,5,0,6,3,6,1,2,6,3,3,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2899",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2900",36,1,2,2,8,0,4,0,5,9,0,0,0,9,0,0,0,9,1,0,3,3,2,2,0,0,0,4,5,5,5,9,0,0,7,2,6,3,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"2901",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2902",9,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2903",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2904",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2905",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2906",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2907",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,3,0,0,0,0,6,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,2,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2908",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2909",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2910",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2911",33,1,3,3,8,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2912",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2913",28,1,1,6,6,2,5,2,0,0,0,9,8,1,0,1,2,7,1,0,1,4,5,1,1,0,1,6,2,8,1,0,0,9,9,0,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2914",1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2915",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2916",26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"2917",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2918",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2919",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2920",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2921",35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2922",24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2923",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2924",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2925",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2926",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"2927",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2928",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2929",23,2,2,4,5,3,4,1,2,5,1,3,4,4,2,2,4,4,3,0,1,4,0,2,2,2,3,4,1,6,3,7,2,0,4,5,4,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2930",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2931",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2932",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2933",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2934",33,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" -"2935",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"2936",9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2937",22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"2938",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"2939",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2940",7,1,2,1,2,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2941",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"No" -"2942",10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2943",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2944",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2945",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2946",23,1,3,3,5,1,5,1,4,4,1,5,3,2,5,2,4,3,1,0,0,4,2,3,1,1,5,3,1,8,1,4,1,4,6,3,6,3,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2947",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2948",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2949",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2950",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"2951",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2952",3,1,2,4,1,1,5,1,3,7,0,2,2,4,4,3,4,3,3,2,1,3,2,0,4,2,2,2,1,5,4,6,2,2,3,6,2,3,4,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"2953",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2954",2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,"Yes" -"2955",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"2956",3,1,2,5,1,2,5,1,2,4,1,5,3,5,1,2,5,3,6,1,0,2,1,1,4,2,4,1,1,3,6,7,2,1,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"2957",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2958",23,1,3,2,5,2,2,1,6,5,2,3,3,2,5,2,4,3,2,1,1,4,2,2,2,2,3,3,1,4,5,7,1,2,4,5,2,3,3,2,1,5,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2959",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2960",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2961",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2962",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2963",30,1,2,4,7,0,4,0,5,3,2,4,4,4,2,2,2,6,3,0,3,0,0,4,3,0,3,4,0,2,7,6,3,0,2,7,4,0,6,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2964",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2965",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2966",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2967",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2968",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2969",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2970",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2971",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2972",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2973",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2974",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2975",31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2976",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2977",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2978",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2979",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2980",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2981",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2982",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"2983",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2984",3,1,2,4,1,0,8,0,1,7,2,0,0,5,4,2,1,6,4,2,0,2,2,2,2,1,2,3,2,3,6,6,2,2,4,5,2,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2985",11,1,3,3,3,1,5,0,3,8,1,0,2,3,5,2,2,5,2,0,2,3,3,0,2,0,4,2,2,2,7,7,2,0,5,4,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2986",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2987",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"2988",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2989",33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2990",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2991",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"2992",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2993",33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2994",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"2995",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2996",38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"2997",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"2998",29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"2999",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3000",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3001",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3002",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3003",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3004",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3005",37,1,3,2,8,1,3,3,3,5,0,4,3,1,5,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,6,2,3,8,1,7,1,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3006",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3007",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3008",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3009",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"3010",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3011",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3012",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,5,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3013",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3014",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3015",25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3016",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3017",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3018",8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3019",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3020",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3021",11,1,3,2,3,6,1,2,2,6,2,1,1,3,6,2,4,4,2,2,0,2,3,2,3,2,2,4,1,6,3,5,2,3,5,4,1,4,5,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3022",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3023",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3024",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3025",29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3026",25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3027",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3028",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3029",3,1,1,4,1,3,4,0,3,5,0,4,5,4,0,2,7,0,4,0,0,3,1,2,0,5,3,2,0,0,9,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3030",32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3031",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3032",7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3033",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3034",25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3035",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3036",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3037",35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3038",38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3039",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3040",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3041",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3042",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"No" -"3043",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3044",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3045",34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,4,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3046",3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3047",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3048",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3049",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3050",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3051",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3052",34,1,3,3,8,0,3,3,5,9,0,0,0,3,6,3,6,0,1,0,0,8,1,0,1,6,3,0,0,0,9,3,6,0,0,9,0,0,1,8,1,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3053",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"3054",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3055",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3056",34,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3057",3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3058",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3059",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3060",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3061",23,1,2,2,5,2,0,3,6,7,0,2,3,3,3,1,1,8,2,0,0,1,5,3,1,1,1,7,1,8,1,4,2,4,3,6,1,6,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3062",36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3063",24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3064",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3065",11,1,3,3,3,3,4,1,2,5,0,4,4,1,5,3,5,2,5,0,0,3,2,1,2,2,3,2,1,7,2,8,1,0,8,1,2,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3066",31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3067",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3068",41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3069",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3070",24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3071",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3072",32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3073",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3074",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3075",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3076",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3077",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3078",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3079",13,1,3,2,3,0,4,0,5,9,0,0,5,2,3,2,5,2,6,0,0,3,0,0,1,1,2,3,2,7,2,9,0,0,7,2,6,0,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3080",11,1,3,2,3,7,0,2,0,6,0,3,1,4,4,1,5,4,1,0,0,3,2,4,1,2,2,5,2,3,6,9,0,0,6,3,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3081",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3082",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3083",33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3084",1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3085",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3086",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3087",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3088",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3089",36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3090",30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3091",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3092",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3093",28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3094",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3095",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3096",8,1,3,3,2,5,0,2,3,6,0,3,0,3,6,0,5,4,2,0,0,4,2,2,2,2,3,5,0,1,8,7,2,0,5,4,2,6,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3097",29,1,2,3,7,0,9,0,0,5,0,4,2,4,3,0,9,0,4,0,0,5,0,0,4,5,0,0,0,2,7,7,2,0,3,6,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3098",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3099",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3100",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3101",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3102",32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3103",41,1,2,3,10,0,3,0,6,5,0,4,2,4,3,2,5,2,4,0,2,4,1,0,4,3,3,1,0,2,7,8,1,0,5,4,1,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3104",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3105",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3106",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3107",11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3108",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3109",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3110",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3111",12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3112",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3113",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3114",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3115",1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"3116",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3117",26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3118",9,1,3,2,3,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3119",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3120",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3121",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3122",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"Yes" -"3123",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3124",25,1,2,4,6,1,5,1,3,5,1,4,5,3,2,2,2,6,4,1,1,3,2,2,2,1,2,4,2,6,3,6,0,3,5,4,3,4,3,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3125",32,1,2,4,7,2,5,0,2,5,2,3,3,5,2,2,3,4,2,0,0,4,2,2,2,1,2,5,1,7,3,6,0,3,7,2,4,3,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3126",33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3127",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3128",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3129",4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3130",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3131",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3132",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3133",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3134",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3135",8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3136",37,1,2,3,8,0,6,1,3,4,3,3,2,5,3,0,4,5,3,0,0,3,2,2,1,1,3,5,1,8,1,6,0,3,7,2,2,2,5,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3137",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3138",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3139",34,1,3,3,8,1,5,1,4,6,1,3,1,2,7,4,2,4,2,0,0,6,1,1,4,1,2,3,0,1,8,8,1,0,6,3,1,2,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3140",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3141",30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3142",38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3143",35,1,2,3,8,0,0,2,7,4,3,3,3,2,4,5,4,0,3,2,0,3,2,0,4,2,2,2,0,9,0,7,0,2,6,3,2,5,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3144",27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3145",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3146",33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3147",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3148",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3149",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3150",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3151",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3152",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3153",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3154",39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3155",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3156",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3157",34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3158",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3159",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3160",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3161",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3162",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3163",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3164",6,1,3,3,2,1,4,2,4,9,0,0,0,4,5,5,3,2,5,0,0,2,2,1,5,2,2,2,0,0,9,7,2,0,2,7,0,2,3,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3165",24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3166",37,1,2,2,8,0,4,0,5,5,2,2,1,5,3,1,5,3,1,0,1,7,1,1,1,4,2,3,0,1,8,6,2,1,4,5,2,3,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3167",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3168",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3169",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3170",24,1,3,2,5,0,2,3,5,6,1,3,2,2,5,2,2,6,0,0,0,3,2,4,0,2,2,5,1,8,1,6,2,2,9,0,5,3,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3171",33,1,2,4,8,0,8,0,1,7,0,2,0,7,2,0,4,5,0,1,0,2,6,2,0,1,2,7,1,1,8,7,2,0,7,2,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3172",23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"3173",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3174",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3175",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3176",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3177",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3178",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3179",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3180",18,1,1,2,4,1,2,1,6,2,2,7,7,1,2,3,6,1,2,1,0,6,1,2,2,4,3,1,0,6,3,6,1,3,5,4,4,3,2,1,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3181",23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3182",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3183",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3184",24,1,2,2,5,0,3,2,5,2,2,6,3,3,3,3,4,3,3,0,0,0,0,6,1,2,2,4,2,9,0,3,0,6,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3185",8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3186",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3187",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3188",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3189",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3190",7,1,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3191",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3192",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"3193",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3194",17,1,2,2,4,0,0,2,7,4,2,4,4,2,3,5,4,0,2,2,0,4,1,2,4,3,2,1,1,7,2,5,0,4,5,4,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3195",13,1,3,2,3,0,2,0,7,5,0,4,4,1,5,2,3,4,0,0,0,9,0,0,0,3,2,4,0,1,8,9,0,0,6,3,0,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"3196",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3197",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3198",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3199",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3200",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3201",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3202",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3203",24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3204",8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,3,6,6,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,2,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,"No" -"3205",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3206",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3207",33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3208",39,1,3,3,9,2,6,1,2,6,2,2,0,3,6,0,6,3,0,0,3,2,0,4,0,2,2,5,0,4,5,5,2,3,6,3,5,4,0,0,0,3,5,0,3,0,6,0,0,0,0,0,0,0,6,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3209",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3210",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3211",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3212",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3213",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3214",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,2,6,0,4,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3215",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"3216",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3217",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3218",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3219",8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3220",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3221",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3222",32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3223",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3224",2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3225",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,"No" -"3226",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3227",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3228",36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3229",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3230",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3231",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3232",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3233",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3234",10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3235",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,"No" -"3236",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"3237",8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3238",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3239",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3240",39,1,3,3,9,0,6,3,0,9,0,0,1,4,4,2,3,5,2,0,1,3,1,3,2,1,1,6,0,2,7,4,4,2,4,5,1,4,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3241",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3242",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3243",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,6,0,6,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3244",12,1,4,2,3,1,7,0,2,8,0,1,1,3,6,3,5,2,1,0,2,3,4,0,2,1,4,3,1,0,9,7,2,0,5,4,0,8,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3245",33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3246",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3247",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3248",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3249",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3250",29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3251",40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3252",39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3253",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3254",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3255",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3256",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3257",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3258",41,1,3,3,10,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3259",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3260",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3261",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3262",28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3263",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3264",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3265",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3266",28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3267",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3268",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3269",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3270",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3271",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3272",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3273",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3274",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3275",8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3276",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3277",38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3278",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3279",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3280",9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3281",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3282",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3283",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3284",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3285",11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3286",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3287",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3288",35,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3289",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3290",25,1,2,3,6,6,0,0,3,4,0,5,4,0,5,0,4,5,0,0,0,0,6,3,0,0,5,4,0,6,3,4,0,5,6,3,3,4,2,2,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3291",32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3292",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3293",24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3294",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3295",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3296",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3297",36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3298",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3299",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3300",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3301",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3302",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3303",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3304",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3305",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3306",9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3307",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3308",31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3309",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3310",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3311",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3312",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3313",8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3314",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3315",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3316",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3317",24,1,2,3,5,0,4,0,5,4,1,5,5,1,4,0,4,5,0,0,0,3,6,1,0,3,0,6,1,5,4,6,0,3,7,2,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3318",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3319",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3320",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3321",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" -"3322",41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,3,0,0,0,0,0,6,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"3323",8,1,4,3,2,3,2,0,5,8,1,0,0,1,8,6,3,1,4,0,0,4,1,0,5,4,1,1,0,0,9,7,1,1,1,8,0,0,3,6,1,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3324",20,1,4,3,5,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3325",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3326",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3327",23,2,2,3,5,2,5,2,2,5,1,3,4,2,4,2,4,4,5,0,0,3,1,1,4,1,2,3,1,2,7,6,0,3,5,4,3,2,4,0,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3328",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3329",24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3330",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3331",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3332",41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3333",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3334",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3335",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"3336",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3337",8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3338",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3339",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3340",24,1,2,3,5,0,5,0,4,7,0,2,2,3,5,2,2,6,3,0,2,3,1,3,1,2,4,4,0,4,5,5,3,2,5,4,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3341",3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3342",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3343",3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3344",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3345",20,1,1,3,5,0,3,2,5,1,1,8,7,2,1,2,2,6,1,0,0,3,3,4,1,2,2,5,1,9,0,5,0,4,7,2,5,4,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3346",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3347",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3348",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3349",3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3350",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3351",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3352",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3353",31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3354",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3355",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3356",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3357",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3358",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3359",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3360",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3361",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3362",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3363",12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3364",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3365",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3366",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3367",8,1,4,2,2,0,2,0,7,9,0,0,0,0,8,3,0,6,3,0,0,0,3,3,3,0,0,6,0,0,9,5,2,2,5,4,6,0,0,3,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3368",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3369",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3370",8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3371",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3372",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3373",3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3374",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3375",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3376",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3377",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3378",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3379",31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3380",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3381",34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"3382",36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3383",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3384",33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3385",35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"3386",40,1,2,4,10,0,4,0,5,5,2,2,4,2,4,0,1,8,4,0,2,2,3,0,0,0,5,4,0,9,0,6,2,2,6,3,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3387",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3388",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3389",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3390",6,1,4,3,2,6,3,0,0,4,0,5,1,4,4,1,8,0,1,0,0,5,3,0,1,1,7,0,0,0,9,7,2,0,4,5,0,2,4,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3391",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3392",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3393",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3394",38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3395",24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3396",25,1,2,3,6,0,5,0,4,5,0,4,3,3,3,2,3,5,0,0,0,3,1,6,0,2,2,6,0,9,0,7,0,2,5,4,5,3,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3397",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"3398",33,1,3,3,8,0,7,0,2,5,1,4,2,3,4,1,3,5,3,0,1,3,1,2,2,1,4,3,2,4,5,4,2,3,6,3,4,3,2,0,1,4,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3399",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3400",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3401",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3402",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3403",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3404",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,5,0,6,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"3405",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3406",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3407",30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3408",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3409",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3410",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3411",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3412",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3413",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3414",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3415",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3416",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3417",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3418",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3419",12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3420",32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3421",33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3422",36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3423",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3424",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3425",23,1,2,2,5,1,2,1,6,4,2,4,3,2,4,4,4,2,2,1,0,3,2,3,2,2,3,3,1,7,2,5,1,4,5,4,4,3,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3426",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3427",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3428",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3429",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3430",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3431",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3432",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3433",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3434",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3435",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3436",32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3437",9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3438",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3439",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"3440",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3441",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3442",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3443",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3444",33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3445",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3446",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3447",33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3448",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3449",25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3450",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3451",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3452",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3453",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3454",23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3455",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3456",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3457",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3458",10,1,4,3,3,8,1,0,1,6,1,3,0,1,8,3,3,4,5,0,0,3,2,0,3,2,1,2,3,5,4,6,1,3,5,4,4,2,2,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3459",8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3460",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3461",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3462",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3463",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3464",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3465",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3466",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"3467",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3468",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3469",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3470",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3471",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3472",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3473",9,1,1,2,3,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3474",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3475",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3476",33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3477",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3478",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3479",37,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3480",41,1,3,3,10,1,5,1,4,7,1,2,2,3,5,2,3,5,2,1,2,1,4,1,3,1,2,4,1,2,7,6,3,1,6,3,2,3,4,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3481",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3482",4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3483",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3484",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3485",23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3486",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3487",11,1,3,2,3,0,2,4,4,7,0,2,1,4,4,3,5,2,2,0,0,4,1,3,1,3,3,3,1,5,4,7,0,2,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3488",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3489",2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3490",38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3491",38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3492",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3493",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3494",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3495",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3496",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"3497",33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3498",33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3499",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3500",39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"3501",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3502",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3503",30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3504",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3505",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3506",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3507",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"3508",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3509",4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3510",39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"3511",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3512",33,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3513",8,1,4,3,2,4,2,0,4,8,1,0,0,2,7,5,3,1,2,0,0,6,1,2,5,3,1,1,0,0,9,7,2,0,4,5,0,1,4,2,3,8,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3514",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3515",11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3516",34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3517",9,1,1,3,3,0,9,0,0,0,0,9,9,0,0,0,0,9,0,0,0,0,9,0,0,0,0,7,2,9,0,0,0,9,9,0,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3518",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3519",30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3520",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3521",12,1,3,2,3,0,5,3,2,4,3,3,0,3,6,3,6,0,2,0,0,5,0,2,2,5,2,0,0,6,3,7,0,2,5,4,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3522",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3523",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3524",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3525",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3526",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3527",32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,2,4,0,6,0,0,0,0,0,0,0,6,0,0,0,7,0,0,0,3,0,1,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"No" -"3528",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3529",33,1,2,3,8,0,5,0,4,7,0,2,5,0,4,0,0,9,3,0,2,3,1,3,0,0,0,9,0,5,4,5,3,2,5,4,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3530",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3531",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3532",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3533",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3534",36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3535",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3536",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3537",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3538",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3539",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3540",1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3541",9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,0,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3542",24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3543",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3544",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3545",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3546",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3547",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3548",38,1,3,2,9,3,2,2,3,9,0,0,0,0,9,3,6,0,3,0,0,6,0,0,3,4,3,0,0,9,0,9,0,0,4,5,0,0,9,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3549",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3550",18,1,1,1,4,0,5,0,5,0,0,9,9,0,0,9,0,0,0,0,0,0,0,9,9,0,0,0,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3551",9,1,3,2,3,2,2,1,6,3,1,5,4,2,4,2,5,2,4,0,0,4,2,1,3,2,2,2,1,7,2,5,2,2,6,3,0,4,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3552",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3553",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3554",37,1,3,3,8,0,3,2,4,6,0,3,2,4,4,1,2,6,2,0,0,2,3,4,1,0,3,5,2,1,8,6,2,2,8,1,3,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3555",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"3556",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3557",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3558",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3559",11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3560",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,6,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3561",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3562",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3563",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3564",9,2,4,3,3,1,1,1,7,9,0,0,0,0,9,2,4,4,0,0,0,4,3,3,0,3,0,4,2,9,0,4,1,5,6,3,3,0,4,3,0,6,5,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3565",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3566",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3567",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3568",33,1,2,3,8,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3569",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3570",8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3571",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3572",12,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3573",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3574",33,1,3,3,8,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3575",33,1,3,5,8,3,6,0,0,9,0,0,0,7,2,2,0,7,0,0,2,2,5,0,0,2,2,6,0,7,2,6,0,3,9,0,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3576",25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3577",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3578",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3579",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3580",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3581",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"3582",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3583",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3584",13,1,3,2,3,0,5,1,4,4,3,2,2,1,6,2,7,1,2,0,0,4,3,2,1,1,3,5,1,4,5,8,0,1,9,0,3,4,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"3585",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3586",35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3587",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3588",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3589",39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3590",3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3591",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3592",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3593",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3594",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3595",11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3596",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3597",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3598",8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"3599",23,1,2,2,5,2,4,0,4,1,3,5,5,3,2,2,5,3,0,0,0,2,5,2,0,2,3,5,0,9,0,4,0,5,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3600",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3601",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3602",39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3603",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3604",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3605",30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3606",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3607",13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3608",25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3609",38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3610",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3611",3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3612",3,1,2,5,1,2,3,4,2,7,0,2,2,6,2,2,5,3,3,1,2,2,0,3,2,2,4,2,0,6,3,7,0,2,6,3,1,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3613",23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3614",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3615",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3616",13,1,3,4,3,3,3,1,3,4,0,5,3,4,3,4,3,3,3,0,0,0,3,4,1,0,3,3,3,4,5,7,0,2,6,3,3,4,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3617",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3618",23,1,1,1,5,2,5,0,3,2,4,4,5,4,1,1,6,3,1,0,2,2,5,2,2,0,2,4,1,8,1,4,0,5,9,0,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3619",8,1,3,2,2,0,9,0,0,9,0,0,0,5,4,0,7,2,2,0,0,2,2,4,2,0,3,4,0,3,6,5,0,5,9,0,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3620",10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3621",22,3,2,2,5,1,2,0,7,1,7,2,2,6,2,2,3,5,1,0,0,5,2,1,2,1,3,5,1,8,1,8,0,1,8,1,4,3,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3622",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3623",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3624",11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3625",35,1,3,3,8,5,2,0,3,5,2,3,2,4,3,0,4,5,2,0,0,0,7,0,2,0,0,6,2,9,0,7,2,0,4,5,3,3,4,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3626",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3627",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3628",41,1,4,2,10,4,4,0,2,6,3,0,0,3,6,2,2,6,0,0,4,2,2,3,2,0,4,4,0,0,9,7,2,0,6,3,5,0,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3629",3,1,2,2,1,0,2,0,7,5,0,4,4,4,2,7,2,0,7,0,0,2,0,0,7,2,0,0,0,0,9,6,3,0,4,5,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3630",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3631",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3632",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3633",20,1,3,3,5,2,1,1,6,5,3,2,1,3,5,1,3,5,1,1,0,2,4,3,1,1,2,6,1,8,1,5,1,4,6,3,4,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3634",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3635",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3636",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3637",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3638",22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3639",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3640",25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3641",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3642",36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3643",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3644",13,1,3,3,3,1,6,0,3,7,2,0,0,6,3,1,8,1,3,3,0,3,0,1,2,2,4,1,2,2,7,7,0,2,4,5,0,1,8,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3645",37,1,3,3,8,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3646",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3647",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3648",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3649",41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3650",25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3651",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,4,0,0,0,0,0,0,0,4,0,8,0,0,0,4,0,0,0,0,0,1,1,0,0,0,0,0,0,0,2,0,1,0,0,0,1,0,0,0,0,0,"No" -"3652",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3653",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3654",8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3655",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3656",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3657",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3658",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3659",26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3660",31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3661",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3662",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3663",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3664",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,3,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3665",33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3666",7,1,4,3,2,0,5,0,4,9,0,0,0,3,6,4,5,0,0,0,0,6,0,3,0,3,6,0,0,0,9,5,4,0,4,5,0,0,3,6,0,8,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3667",13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3668",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,0,0,0,0,0,2,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" -"3669",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3670",37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"3671",35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,4,6,0,0,0,2,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3672",28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3673",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3674",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3675",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3676",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3677",6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3678",11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3679",8,2,3,4,2,4,3,1,3,5,2,3,0,7,2,0,5,4,0,0,5,0,5,0,0,0,5,4,0,6,3,7,2,0,4,5,2,6,2,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3680",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3681",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3682",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"3683",20,1,1,6,5,0,6,0,3,0,0,9,9,0,0,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,0,0,9,9,0,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3684",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3685",40,1,3,3,10,1,5,1,3,6,1,2,2,4,4,2,4,4,2,0,4,3,1,1,3,2,4,2,0,1,8,6,3,1,3,6,2,2,5,2,1,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3686",1,1,3,3,1,0,5,0,4,9,0,0,0,3,6,6,3,0,6,2,0,1,0,1,8,1,0,0,0,0,9,9,0,0,3,6,0,1,3,4,3,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3687",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3688",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3689",3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3690",20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3691",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3692",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3693",12,1,2,3,3,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3694",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3695",9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3696",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3697",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3698",37,1,3,3,8,0,5,1,3,7,2,1,1,4,5,3,4,3,2,0,1,6,2,0,2,3,2,3,0,4,5,3,3,4,7,2,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3699",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3700",6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3701",33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3702",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3703",3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3704",24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,"Yes" -"3705",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3706",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3707",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3708",37,1,3,3,8,0,6,0,3,7,0,2,0,4,5,1,1,8,0,0,0,9,0,0,0,0,1,8,0,3,6,6,1,2,7,2,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3709",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3710",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3711",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3712",22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3713",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3714",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3715",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3716",24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"3717",37,2,2,2,8,0,5,1,3,7,1,1,1,4,4,1,6,2,2,0,0,4,4,0,2,2,1,4,0,3,6,7,2,0,6,3,1,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3718",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3719",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3720",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3721",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3722",30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,5,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3723",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3724",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3725",37,1,2,3,8,1,5,3,2,4,3,2,2,5,3,2,5,2,3,0,0,5,1,1,1,2,3,3,0,8,1,7,1,2,7,2,1,3,4,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3726",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3727",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3728",11,1,3,3,3,0,0,3,6,9,0,0,0,3,6,5,4,0,4,1,0,3,1,2,5,3,2,0,0,8,1,9,0,0,0,9,0,2,2,3,3,0,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3729",23,1,2,2,5,1,2,2,5,5,2,2,4,4,1,1,4,4,2,0,0,3,2,4,1,2,1,5,1,7,2,6,1,3,8,1,2,5,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3730",38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3731",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3732",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3733",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3734",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3735",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3736",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3737",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3738",24,1,2,3,5,1,3,3,3,4,2,4,3,3,3,0,3,6,0,0,0,4,1,4,0,0,3,6,1,9,0,3,0,6,8,1,7,2,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3739",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3740",41,1,3,2,10,0,7,0,2,8,0,1,1,6,3,0,4,5,0,0,4,3,0,3,0,2,6,2,1,0,9,8,1,1,2,7,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3741",36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3742",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3743",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3744",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3745",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3746",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"3747",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3748",24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3749",8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3750",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3751",32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3752",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3753",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3754",20,1,3,3,5,1,7,0,1,9,0,0,0,3,6,1,3,5,1,0,0,2,4,3,1,1,2,6,1,6,3,7,2,0,7,2,1,4,4,2,0,5,2,0,0,0,6,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,"Yes" -"3755",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3756",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3757",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3758",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3759",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3760",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3761",38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3762",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3763",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3764",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,"No" -"3765",36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3766",24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3767",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3768",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3769",33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3770",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3771",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3772",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3773",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3774",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3775",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3776",8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3777",10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3778",12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3779",39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3780",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3781",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3782",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3783",6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3784",10,1,3,2,3,0,5,3,2,4,3,3,0,2,7,0,4,5,0,0,0,3,3,4,0,0,2,7,0,7,2,7,0,2,5,4,2,2,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"3785",25,1,2,3,6,2,3,1,4,6,2,2,2,4,4,2,4,4,3,1,1,4,1,2,2,2,3,3,1,2,7,6,1,2,6,3,2,3,4,2,1,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3786",37,1,3,3,8,2,3,3,2,5,1,3,4,3,3,3,4,3,4,0,0,3,2,2,2,2,2,3,2,5,4,6,1,3,4,5,3,1,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3787",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3788",1,2,3,3,1,2,4,0,4,8,0,1,0,0,9,6,3,0,4,0,0,3,0,3,6,3,0,0,0,0,9,3,4,3,5,4,0,0,0,5,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3789",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3790",39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3791",1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3792",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3793",26,1,1,6,6,0,5,0,4,2,0,7,7,2,0,0,0,9,2,1,3,2,1,3,0,0,4,3,2,8,1,2,0,7,6,3,9,0,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3794",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3795",24,1,2,1,5,0,7,0,2,6,0,3,0,9,0,0,5,5,0,0,0,0,5,5,0,0,0,9,0,9,0,3,2,5,6,3,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3796",38,1,3,3,9,0,7,0,2,9,0,0,1,3,6,0,1,8,0,0,0,1,2,6,0,0,1,6,3,9,0,7,0,2,5,4,3,6,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3797",11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3798",10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3799",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3800",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3801",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3802",25,1,2,4,6,4,0,0,5,2,0,7,6,2,2,0,5,5,1,0,0,2,0,6,1,2,2,5,0,9,0,6,0,3,6,3,0,3,5,2,0,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3803",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3804",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3805",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3806",24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3807",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3808",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3809",3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3810",34,1,3,3,8,1,4,1,4,7,1,2,0,3,6,0,6,3,0,0,0,9,0,0,0,0,0,9,0,9,0,6,2,1,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3811",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3812",11,1,2,2,3,3,3,0,4,5,2,2,1,5,3,4,4,2,3,0,0,5,2,1,4,3,2,2,0,4,5,6,1,3,6,3,1,2,4,3,1,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3813",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3814",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3815",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3816",22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3817",6,2,3,4,2,0,4,3,4,9,0,0,0,4,5,3,4,2,5,0,0,2,2,0,4,0,2,3,0,2,7,8,1,0,6,3,3,0,6,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3818",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3819",8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3820",41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3821",34,1,3,3,8,3,2,1,4,8,0,1,1,5,4,3,4,3,3,1,0,4,1,3,3,2,2,3,0,2,7,7,2,0,3,6,0,3,4,2,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3822",30,1,1,5,7,1,3,0,5,6,1,2,5,3,1,0,3,6,3,0,0,0,3,4,0,1,3,2,5,6,3,7,2,0,4,5,6,1,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3823",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3824",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3825",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3826",11,1,2,3,3,0,8,0,1,4,0,5,4,2,4,3,3,4,5,0,0,4,1,1,3,2,1,3,2,4,5,3,2,5,7,2,5,0,3,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3827",22,1,2,3,5,0,2,0,7,4,0,5,4,4,1,2,5,3,3,0,0,2,3,3,2,3,0,4,0,6,3,4,0,5,7,2,3,3,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3828",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3829",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3830",22,1,2,3,5,5,1,1,3,5,1,4,3,4,3,2,2,5,1,1,0,5,1,2,1,2,3,4,2,7,2,6,1,3,5,4,2,2,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3831",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3832",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3833",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3834",31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3835",6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3836",13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3837",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3838",8,1,3,3,2,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3839",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3840",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3841",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3842",31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3843",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3844",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3845",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3846",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3847",33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,7,0,0,0,2,5,0,3,0,0,0,0,6,0,0,0,0,0,0,0,1,4,0,0,0,1,2,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3848",38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3849",25,1,1,5,6,1,5,1,3,2,0,7,7,1,2,2,5,3,1,2,1,5,1,2,2,1,5,2,0,1,8,4,1,4,3,6,1,7,1,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3850",3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,2,4,0,7,0,0,0,0,0,0,0,0,0,0,6,7,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" -"3851",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3852",27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3853",35,1,1,2,8,0,9,0,0,6,0,3,9,0,0,0,9,0,0,0,0,0,0,9,0,0,9,0,0,9,0,6,0,3,4,5,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3854",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,2,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3855",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3856",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3857",11,1,3,3,3,0,2,2,5,3,0,6,3,1,5,2,4,3,4,0,2,2,2,2,3,1,3,2,2,4,5,3,0,6,9,0,4,2,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"3858",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3859",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3860",25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3861",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3862",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3863",30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3864",23,3,2,4,5,0,4,1,4,7,0,2,4,2,4,2,4,4,3,1,0,2,1,3,2,1,2,2,3,5,4,9,0,0,4,5,3,3,2,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3865",3,1,2,3,1,0,9,0,0,6,0,3,4,3,2,0,5,4,3,0,0,2,2,4,1,1,3,4,0,6,3,6,0,3,4,5,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3866",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3867",37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"3868",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3869",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3870",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3871",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3872",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3873",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3874",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"3875",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3876",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" -"3877",3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3878",7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3879",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3880",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3881",36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3882",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3883",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3884",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3885",23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3886",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3887",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3888",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3889",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3890",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3891",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3892",38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3893",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3894",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3895",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3896",24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3897",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3898",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3899",9,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,4,3,1,0,0,6,0,2,1,3,4,3,0,6,3,5,1,3,8,1,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3900",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3901",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3902",26,1,2,5,6,0,8,1,1,5,0,4,3,5,1,1,3,5,1,0,0,2,1,6,1,1,3,3,2,6,3,4,0,5,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"3903",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3904",33,1,3,3,8,2,7,0,0,5,2,2,0,3,6,0,2,7,0,0,0,0,3,6,0,2,0,4,3,9,0,2,2,5,9,0,0,3,6,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"3905",39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"3906",31,1,3,1,7,4,0,0,5,4,0,5,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,9,0,7,2,0,4,5,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3907",31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"3908",35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3909",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3910",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3911",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3912",32,1,2,4,7,0,4,3,3,4,0,5,4,2,3,0,1,8,0,0,0,1,0,8,0,1,0,2,7,8,1,5,2,3,4,5,6,3,1,1,0,2,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3913",39,1,2,3,9,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3914",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3915",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3916",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3917",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3918",1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,"Yes" -"3919",25,1,2,4,6,2,2,1,5,4,1,5,4,4,2,2,5,3,2,0,0,5,2,1,2,2,3,3,1,8,1,4,1,5,6,3,3,3,2,2,1,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3920",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3921",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3922",24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3923",33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3924",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3925",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3926",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3927",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3928",3,1,2,3,1,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3929",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3930",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3931",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3932",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,4,0,6,6,0,4,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3933",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"3934",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3935",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3936",40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3937",38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3938",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3939",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,3,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3940",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3941",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3942",5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3943",33,1,3,3,8,5,2,0,3,5,2,3,1,5,3,0,3,6,2,0,0,0,7,0,3,0,0,6,1,9,0,7,2,0,4,5,3,4,3,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3944",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3945",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3946",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3947",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,"No" -"3948",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3949",33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3950",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3951",10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" -"3952",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3953",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3954",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3955",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3956",31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3957",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3958",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,1,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3959",10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3960",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3961",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3962",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3963",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"3964",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,5,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"3965",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3966",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3967",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3968",38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3969",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3970",32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3971",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3972",7,1,3,2,2,0,0,0,9,2,6,2,0,4,5,4,4,2,5,2,0,3,0,0,6,0,2,2,0,2,7,6,0,3,2,7,0,0,4,5,0,7,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"3973",7,1,2,3,2,0,9,0,0,4,2,3,2,2,5,3,2,5,2,0,0,3,4,0,1,2,3,4,0,5,4,5,2,3,4,5,2,4,2,2,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3974",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3975",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"3976",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3977",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3978",23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3979",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3980",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3981",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3982",1,1,2,4,1,0,4,3,2,9,0,0,3,6,2,6,3,0,8,0,0,0,0,1,8,0,1,0,0,1,8,5,4,0,2,7,1,0,1,7,2,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"3983",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3984",37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3985",39,1,2,4,9,0,4,0,5,6,0,3,3,4,3,0,3,6,2,0,0,0,6,2,0,0,3,6,0,3,6,6,2,3,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3986",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3987",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3988",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"3989",10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3990",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3991",22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3992",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3993",3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3994",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3995",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"3996",30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3997",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3998",8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"3999",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4000",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4001",36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4002",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4003",36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4004",36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4005",16,1,1,1,4,2,2,1,6,2,2,6,9,0,0,9,0,0,3,0,0,4,1,3,0,2,7,0,0,9,0,2,1,7,4,5,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4006",16,2,1,2,4,1,2,0,6,0,1,8,8,1,1,7,2,1,3,1,0,3,1,3,3,1,5,1,1,8,1,1,0,8,4,5,7,1,1,1,1,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4007",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4008",41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4009",41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4010",36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4011",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4012",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4013",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4014",24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4015",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4016",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,4,6,0,4,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4017",33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4018",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4019",13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4020",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4021",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4022",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4023",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4024",1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4025",27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4026",32,1,2,3,7,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4027",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4028",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" -"4029",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,3,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4030",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4031",39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4032",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4033",20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4034",41,1,3,3,10,2,5,0,2,8,0,1,1,3,6,2,2,6,0,2,4,2,2,1,1,3,5,2,0,1,8,4,5,0,2,7,5,1,0,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,3,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,"No" -"4035",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4036",29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4037",8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4038",39,2,4,3,9,1,6,2,1,9,0,0,1,0,8,4,3,3,2,0,0,2,4,2,3,3,4,1,0,6,3,6,2,1,6,3,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"4039",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4040",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4041",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4042",32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4043",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4044",8,1,3,3,2,1,2,1,5,7,1,2,1,3,5,1,3,5,1,1,0,4,3,2,1,2,2,5,1,8,1,6,1,2,6,3,3,4,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4045",6,1,3,2,2,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,0,0,0,4,2,0,6,2,0,0,9,9,0,0,4,5,0,0,7,0,2,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4046",33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4047",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4048",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4049",38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4050",33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4051",12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4052",10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"4053",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"4054",6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" -"4055",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4056",22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4057",29,1,2,4,7,0,4,2,4,5,0,4,4,2,3,0,5,4,2,0,0,3,4,0,0,3,0,6,0,0,9,6,1,3,6,3,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4058",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4059",12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4060",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4061",10,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4062",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4063",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4064",23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4065",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4066",40,1,2,4,10,0,5,0,4,7,0,2,2,7,0,2,5,2,3,0,3,5,0,0,4,3,0,2,0,2,7,9,0,0,2,7,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4067",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4068",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4069",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4070",38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4071",23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4072",33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4073",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4074",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4075",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4076",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4077",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,3,0,0,6,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4078",6,2,3,2,2,5,0,0,4,9,0,0,1,6,2,8,1,1,2,0,0,2,0,6,5,3,1,1,0,2,7,7,2,0,0,9,0,0,3,5,2,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4079",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4080",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4081",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"4082",8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4083",25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4084",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4085",39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4086",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" -"4087",6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,"No" -"4088",8,1,3,3,2,7,0,0,2,7,0,2,1,3,6,2,3,5,3,0,1,3,3,1,3,1,1,5,1,4,5,7,2,1,5,4,2,3,3,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4089",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4090",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4091",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4092",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4093",39,1,3,2,9,1,1,0,7,8,0,1,1,3,6,1,5,4,1,0,0,3,5,1,1,2,2,4,1,1,8,7,2,1,5,4,3,0,6,1,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4094",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"4095",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4096",37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4097",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4098",34,1,4,2,8,0,6,0,3,9,0,0,0,0,9,0,6,3,0,0,0,6,0,3,0,2,4,3,0,9,0,3,3,4,6,3,4,0,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4099",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4100",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4101",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4102",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4103",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4104",23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4105",12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4106",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,2,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,1,0,"Yes" -"4107",24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4108",8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4109",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"4110",31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4111",38,1,3,3,9,1,5,1,4,6,1,2,2,3,5,1,3,6,1,1,1,3,3,2,1,2,2,5,2,5,4,5,2,2,7,2,4,4,2,1,1,3,4,2,0,0,7,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4112",38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4113",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4114",5,1,4,2,1,0,4,0,5,9,0,0,0,0,9,0,2,7,0,0,0,5,2,2,0,2,0,7,0,7,2,9,0,0,9,0,3,0,4,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4115",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4116",7,1,3,3,2,1,5,0,4,7,0,2,1,4,5,3,5,1,4,0,0,4,0,1,3,1,4,2,0,6,3,6,1,2,5,4,1,1,7,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4117",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4118",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4119",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4120",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4121",35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"4122",33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4123",23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" -"4124",30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4125",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4126",33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4127",3,1,3,3,1,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4128",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4129",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4130",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4131",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4132",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4133",35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4134",16,2,1,1,4,3,0,1,6,1,2,7,8,1,1,8,1,0,2,1,0,2,0,5,1,1,7,1,0,8,1,3,1,6,3,6,8,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4135",6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4136",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4137",23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4138",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4139",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4140",12,1,4,2,3,0,4,2,4,8,1,0,0,1,8,2,5,3,2,0,0,4,0,4,2,5,1,3,0,0,9,9,0,0,4,5,0,2,7,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4141",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4142",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4143",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4144",33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4145",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4146",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" -"4147",11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4148",37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4149",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4150",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4151",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4152",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4153",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4154",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4155",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4156",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4157",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4158",38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,4,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4159",8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4160",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4161",5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4162",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4163",38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4164",6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4165",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4166",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4167",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"4168",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4169",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4170",3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4171",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4172",1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4173",9,1,3,2,3,1,5,1,4,7,1,2,0,5,4,0,5,4,4,0,1,3,1,2,0,0,0,9,0,7,2,6,2,1,4,5,0,2,7,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4174",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4175",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4176",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4177",38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4178",12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4179",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4180",33,1,1,3,8,0,9,0,0,5,0,4,5,4,1,0,1,8,0,0,2,0,3,5,0,4,0,5,0,0,9,3,2,4,7,2,8,1,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4181",32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4182",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,2,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4183",13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4184",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4185",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4186",10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4187",35,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4188",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4189",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4190",10,1,3,3,3,2,4,0,4,7,0,2,2,3,5,4,4,1,2,0,0,5,1,2,2,3,4,2,0,3,6,9,0,0,3,6,2,2,3,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4191",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4192",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4193",33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4194",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4195",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4196",25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4197",39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4198",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4199",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4200",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4201",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4202",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4203",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4204",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4205",25,1,2,4,6,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4206",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4207",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4208",10,1,4,2,3,3,5,0,1,9,0,0,0,2,7,4,3,3,1,0,0,5,2,2,0,4,1,4,2,7,2,6,1,3,5,4,2,2,3,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4209",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4210",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4211",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4212",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4213",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4214",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4215",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4216",33,1,4,2,8,1,8,0,0,7,1,1,0,1,8,0,3,6,1,0,1,3,4,1,1,1,1,5,2,6,3,4,4,2,9,0,2,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4217",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4218",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4219",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4220",9,1,2,3,3,1,1,1,6,6,1,3,2,4,4,2,4,4,2,1,0,4,3,2,2,2,2,4,1,8,1,4,1,5,8,1,3,3,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4221",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4222",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4223",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4224",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4225",29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4226",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4227",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4228",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,3,6,0,0,0,0,6,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" -"4229",34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4230",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4231",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"4232",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4233",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4234",11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4235",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4236",3,1,2,4,1,1,4,2,3,5,0,4,3,4,2,3,4,3,3,0,0,3,1,2,4,3,0,1,3,3,6,6,0,3,4,5,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4237",18,3,1,2,4,9,0,0,0,5,2,3,9,0,0,5,5,0,3,3,0,3,0,0,3,4,0,3,0,6,3,4,1,5,5,4,6,0,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4238",9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4239",41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4240",1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4241",35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4242",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4243",33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4244",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4245",10,1,4,3,3,1,5,2,2,7,2,0,0,2,7,3,4,3,2,0,0,5,1,2,1,3,1,4,1,3,6,6,1,2,6,3,1,1,5,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4246",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4247",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4248",3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4249",31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4250",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4251",22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4252",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" -"4253",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4254",25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4255",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4256",35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4257",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4258",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4259",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4260",36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"4261",39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4262",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4263",35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4264",23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4265",23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4266",33,1,2,3,8,0,7,0,2,6,0,3,3,2,5,0,5,4,0,0,0,3,6,0,0,0,4,5,0,0,9,5,2,2,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4267",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" -"4268",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4269",6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4270",32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4271",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,3,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4272",11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4273",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4274",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4275",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4276",12,1,3,2,3,0,4,2,4,9,0,0,0,3,6,7,2,0,3,0,0,3,0,3,5,3,2,0,0,2,7,7,1,1,4,5,2,0,4,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4277",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4278",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4279",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4280",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4281",38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"4282",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4283",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4284",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4285",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4286",11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,3,5,5,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,1,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4287",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4288",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4289",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4290",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4291",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,1,0,0,0,0,2,0,0,0,0,0,"No" -"4292",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4293",35,1,3,4,8,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,3,2,0,0,2,2,6,0,0,3,6,6,2,2,3,6,0,0,7,2,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4294",8,1,3,2,2,1,3,1,5,5,1,3,3,2,4,2,4,3,2,1,1,3,2,2,2,2,2,4,1,6,3,7,1,2,5,4,2,4,3,1,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4295",7,3,2,2,2,0,3,0,6,4,0,5,4,2,3,2,3,5,6,0,0,2,2,0,4,0,0,2,4,6,3,4,2,4,4,5,4,3,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4296",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4297",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4298",37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4299",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4300",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4301",23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4302",38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4303",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4304",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4305",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4306",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4307",27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4308",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4309",8,1,3,3,2,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4310",33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4311",33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4312",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,1,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4313",36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4314",8,1,2,4,2,2,2,1,5,5,2,3,0,7,2,3,6,1,0,0,0,8,1,1,0,8,0,1,0,8,1,5,1,4,6,3,2,2,4,4,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4315",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4316",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4317",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4318",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4319",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4320",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4321",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4322",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4323",36,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4324",5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,5,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"4325",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4326",32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4327",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4328",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4329",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4330",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4331",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4332",35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4333",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4334",3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" -"4335",34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4336",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4337",23,1,3,2,5,2,2,2,5,5,1,4,2,2,6,0,5,4,1,0,0,4,3,2,1,1,2,6,0,2,7,5,1,3,8,1,2,6,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4338",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4339",24,1,2,2,5,2,3,2,4,2,2,6,5,3,2,4,4,2,2,0,0,6,0,2,1,3,4,2,1,9,0,2,0,7,5,4,6,2,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4340",12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" -"4341",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4342",9,1,3,3,3,1,4,0,5,6,0,3,2,3,5,2,3,4,2,0,0,4,3,1,1,2,2,5,0,5,4,6,0,3,6,3,1,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4343",38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4344",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4345",13,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4346",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4347",11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4348",23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4349",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4350",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4351",6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4352",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4353",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4354",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4355",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4356",8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" -"4357",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4358",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4359",24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4360",33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4361",32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4362",30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4363",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4364",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4365",33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4366",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4367",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4368",9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4369",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4370",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4371",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4372",1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4373",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4374",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4375",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4376",39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4377",1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4378",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4379",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4380",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4381",6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4382",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4383",3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4384",11,2,2,3,3,8,0,0,1,5,2,3,3,4,3,3,2,4,3,0,0,4,2,0,2,2,2,4,0,2,7,5,3,2,6,3,3,3,3,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4385",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4386",8,1,3,3,2,0,5,1,4,7,2,1,1,5,4,3,4,2,3,2,0,2,2,1,5,2,1,3,0,2,7,5,4,1,4,5,1,1,3,5,0,7,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4387",9,1,3,3,3,1,3,1,5,6,2,1,0,3,6,2,4,4,2,0,0,4,1,3,1,3,1,4,1,9,0,6,1,2,7,2,3,3,3,0,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4388",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4389",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4390",36,1,2,3,8,2,3,2,4,6,1,3,2,4,4,1,4,4,1,0,0,4,3,3,1,2,2,4,2,5,4,6,1,2,7,2,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4391",38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4392",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4393",41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4394",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4395",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4396",32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4397",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4398",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4399",24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4400",18,2,2,3,4,1,2,1,6,3,2,5,5,3,1,5,4,1,5,0,1,3,0,1,5,3,2,0,0,7,2,4,2,4,7,2,5,1,3,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4401",33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4402",38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4403",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4404",9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4405",17,1,2,2,4,3,1,2,5,2,3,5,5,2,2,4,3,2,3,1,0,3,1,3,3,2,2,3,1,7,2,2,0,7,6,3,5,3,2,1,1,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"4406",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4407",6,1,3,3,2,2,2,0,6,7,1,1,1,3,5,5,4,1,3,1,0,4,1,1,5,3,1,1,0,1,8,9,0,0,0,9,0,0,2,4,3,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4408",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,2,0,6,0,0,0,0,4,4,0,0,0,0,6,6,0,0,0,0,0,0,1,0,1,0,0,0,0,2,1,0,0,0,0,1,1,0,0,0,0,0,"No" -"4409",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4410",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4411",1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4412",12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4413",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4414",25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4415",37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4416",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4417",31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4418",3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4419",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4420",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4421",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4422",11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"Yes" -"4423",29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4424",35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"4425",13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4426",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4427",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4428",30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4429",23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4430",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4431",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4432",9,1,3,3,3,0,4,0,5,5,0,4,1,0,8,0,6,3,0,0,0,5,4,1,0,1,4,5,1,6,3,5,0,4,9,0,5,0,2,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4433",25,1,2,3,6,0,4,3,2,5,2,3,3,5,2,1,3,6,1,1,0,3,2,4,1,2,2,3,3,6,3,6,1,3,8,1,4,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4434",6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4435",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4436",13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4437",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4438",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4439",7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4440",24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4441",31,1,2,2,7,0,4,0,5,3,3,3,3,4,2,2,3,5,2,0,0,2,3,4,1,2,0,4,3,9,0,5,0,4,9,0,5,3,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4442",8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4443",10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4444",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4445",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4446",30,2,4,4,7,0,2,0,7,6,3,0,0,3,6,3,4,3,3,0,4,0,0,3,4,2,0,0,3,0,9,9,0,0,5,4,3,4,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4447",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4448",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4449",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4450",3,1,2,4,1,0,3,2,4,6,0,3,3,4,3,2,4,4,5,0,3,2,0,0,3,2,3,2,0,7,2,5,2,3,4,5,3,2,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4451",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4452",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4453",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4454",39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4455",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4456",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4457",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4458",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4459",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4460",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4461",36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4462",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4463",24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4464",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4465",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4466",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4467",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4468",22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4469",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4470",11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4471",5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4472",25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4473",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"4474",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4475",38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4476",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4477",36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4478",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4479",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4480",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4481",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4482",9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"4483",33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4484",21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4485",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4486",36,1,2,4,8,0,5,0,4,9,0,0,0,7,2,3,3,3,9,0,0,0,0,0,3,3,2,0,2,0,9,9,0,0,2,7,5,0,3,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4487",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4488",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4489",40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4490",7,1,3,2,2,1,3,1,5,6,3,1,1,4,5,2,6,2,3,0,0,4,2,1,3,4,2,2,0,8,1,6,3,1,5,4,1,4,4,1,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4491",13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4492",36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4493",28,2,2,5,6,0,6,0,3,5,2,4,4,5,1,1,1,7,0,0,4,1,3,2,0,1,4,4,1,7,2,5,0,4,5,4,0,5,5,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4494",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4495",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4496",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4497",13,1,4,3,3,0,5,0,4,9,0,0,0,4,5,2,4,4,0,0,0,4,0,5,0,3,0,6,0,5,4,9,0,0,7,2,4,0,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4498",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4499",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4500",24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4501",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4502",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4503",37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4504",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4505",8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4506",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4507",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4508",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4509",8,1,4,3,2,2,3,0,5,6,0,3,3,0,6,6,3,0,5,0,0,3,1,1,2,5,3,1,0,8,1,3,2,4,4,5,0,1,8,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4510",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4511",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4512",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4513",3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4514",31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4515",30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4516",33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4517",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4518",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4519",8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4520",37,1,2,3,8,0,6,1,2,7,1,1,2,4,4,2,3,4,2,0,1,5,2,0,2,2,3,3,0,3,6,4,2,4,6,3,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4521",35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4522",24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4523",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4524",32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,2,3,5,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4525",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4526",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"4527",10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4528",10,1,4,2,3,0,6,0,3,4,0,5,4,4,2,2,4,4,0,4,0,0,5,0,0,0,5,4,0,3,6,5,2,2,5,4,3,3,2,3,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4529",35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4530",18,2,2,2,4,1,3,1,5,4,2,4,4,4,1,7,2,1,5,1,1,3,1,1,5,3,1,1,1,5,4,6,2,2,3,6,2,2,3,3,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4531",38,1,3,3,9,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4532",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4533",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4534",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"4535",5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4536",30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4537",13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4538",33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4539",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4540",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4541",36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4542",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4543",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4544",33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4545",33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4546",35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4547",24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4548",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4549",24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4550",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4551",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4552",32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4553",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4554",13,1,3,3,3,3,3,1,4,6,2,2,2,4,4,2,5,3,3,0,0,4,2,1,2,2,2,4,1,4,5,7,1,2,5,4,4,3,3,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4555",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4556",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4557",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4558",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4559",13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4560",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4561",1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4562",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4563",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4564",35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4565",11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4566",35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4567",3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4568",6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4569",35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4570",23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4571",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4572",33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4573",1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4574",36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4575",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4576",10,1,4,3,3,0,3,0,6,6,0,3,0,1,8,5,1,4,4,0,2,3,1,0,0,7,1,2,0,4,5,6,2,2,5,4,5,4,0,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4577",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4578",19,1,2,2,4,3,0,0,6,3,2,5,4,3,3,4,3,3,0,0,0,5,2,2,3,4,0,3,0,4,5,3,2,5,5,4,4,0,3,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4579",35,1,2,4,8,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4580",27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4581",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4582",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4583",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4584",3,1,3,3,1,2,2,0,6,5,2,3,2,4,4,3,6,0,2,2,0,6,0,1,3,2,5,0,0,5,4,6,0,3,5,4,4,2,1,2,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4585",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4586",6,1,5,3,2,2,5,0,2,9,0,0,0,0,9,6,3,0,4,0,0,5,0,0,6,3,0,0,0,0,9,7,2,0,4,5,0,3,3,2,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4587",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4588",7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4589",9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4590",37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4591",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4592",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" -"4593",8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4594",36,1,4,3,8,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4595",5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4596",6,1,3,3,2,0,7,0,2,9,0,0,0,4,5,1,4,5,1,0,2,0,7,0,1,2,0,7,1,4,5,7,2,0,8,1,3,3,4,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4597",39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4598",10,1,2,3,3,2,1,1,6,6,1,3,4,3,2,0,2,7,0,0,0,6,3,0,0,2,4,3,0,0,9,7,0,2,6,3,0,0,6,0,3,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4599",31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4600",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4601",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,4,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4602",22,1,2,3,5,0,0,4,5,0,2,7,6,2,2,0,6,3,0,0,0,3,0,6,0,0,5,2,3,7,2,2,0,7,9,0,9,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4603",37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4604",10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4605",24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,"No" -"4606",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4607",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4608",39,1,3,3,9,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4609",23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4610",32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4611",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4612",25,1,2,4,6,0,9,0,0,5,0,4,3,3,4,1,2,7,2,0,0,2,4,3,1,0,1,6,2,3,6,7,1,1,9,0,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4613",23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4614",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4615",35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4616",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4617",10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4618",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4619",3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,2,0,6,0,0,0,0,0,0,0,0,0,0,7,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"4620",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4621",40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4622",16,8,2,3,4,3,3,1,4,3,2,5,4,4,2,3,5,2,3,1,0,5,1,2,3,3,3,2,1,4,5,5,1,4,3,6,2,4,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4623",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4624",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4625",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4626",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4627",39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4628",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4629",13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4630",36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4631",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4632",30,1,2,4,7,0,3,0,6,3,1,6,6,3,0,1,1,7,0,0,1,3,5,2,0,2,1,6,1,4,5,2,0,7,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4633",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4634",33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4635",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"4636",31,1,3,4,7,0,3,0,6,7,0,2,2,4,4,0,3,6,4,0,0,0,3,3,3,0,3,3,2,9,0,4,2,3,9,0,3,4,2,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4637",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4638",9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4639",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4640",36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4641",39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4642",41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4643",9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4644",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4645",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4646",39,1,2,4,9,4,4,0,2,9,0,0,3,4,3,4,3,3,5,0,0,1,1,3,3,2,0,1,4,3,6,4,4,2,7,2,0,4,1,1,4,9,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4647",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4648",41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4649",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4650",38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4651",6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,2,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" -"4652",27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4653",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4654",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4655",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4656",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4657",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4658",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"Yes" -"4659",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4660",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4661",10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4662",33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4663",3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,7,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4664",13,1,3,2,3,2,2,1,5,6,2,2,2,3,5,2,4,4,2,1,0,4,2,2,2,2,2,4,1,6,3,6,1,3,5,4,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4665",25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4666",9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4667",31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4668",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4669",38,1,4,3,9,2,5,1,2,7,0,2,2,2,6,2,2,5,2,1,0,2,3,3,2,1,1,5,2,5,4,5,4,0,7,2,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4670",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4671",22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4672",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4673",10,1,3,3,3,0,3,0,6,7,0,2,1,4,5,1,4,4,4,1,2,2,2,0,3,1,4,2,1,2,7,5,4,0,6,3,3,2,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4674",38,1,2,2,9,2,0,3,5,2,6,2,2,5,3,0,5,4,0,0,0,3,3,4,0,2,2,5,2,9,0,7,0,2,9,0,4,2,2,2,0,4,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4675",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"4676",12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4677",8,2,2,3,2,1,4,0,5,5,1,3,3,3,4,2,4,3,2,1,0,4,1,2,2,2,2,3,1,4,5,5,2,3,5,4,3,2,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4678",33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4679",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4680",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4681",39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4682",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4683",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4684",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4685",35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4686",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4687",39,1,3,3,9,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,5,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4688",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4689",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4690",39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4691",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4692",38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4693",22,2,2,4,5,0,0,0,9,2,3,5,4,2,4,1,3,5,1,0,0,3,0,5,1,2,2,5,0,9,0,4,0,5,7,2,6,2,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4694",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4695",7,1,3,3,2,0,5,2,3,5,0,4,3,3,4,6,2,3,5,0,0,0,0,4,4,2,0,3,0,3,6,3,0,6,3,6,3,0,4,0,3,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4696",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4697",36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4698",33,1,3,2,8,1,4,1,5,6,1,3,5,0,4,0,0,9,0,0,0,0,4,5,0,0,0,9,0,5,4,6,1,3,6,3,4,3,2,1,1,3,3,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4699",38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"Yes" -"4700",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4701",35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4702",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4703",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4704",3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4705",12,1,3,2,3,2,7,0,0,9,0,0,0,2,7,5,3,2,7,2,0,0,0,0,6,0,2,2,0,0,9,9,0,0,2,7,2,3,2,2,2,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4706",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4707",16,1,2,1,4,0,4,3,3,2,3,5,5,4,1,7,2,1,2,0,0,0,2,6,2,2,5,1,1,8,1,3,0,6,6,3,8,1,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4708",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" -"4709",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4710",9,1,2,4,3,2,0,2,6,4,0,6,5,3,2,1,6,3,7,0,0,2,0,0,3,1,2,4,1,8,1,5,0,4,8,1,3,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4711",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4712",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4713",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4714",38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4715",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4716",39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4717",9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4718",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,3,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4719",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4720",28,6,2,5,6,0,6,1,3,5,1,4,3,4,2,1,4,5,3,0,1,3,1,3,2,2,2,4,0,6,3,6,0,3,5,4,5,2,3,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4721",13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4722",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4723",38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4724",9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4725",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4726",33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4727",23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4728",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4729",23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4730",13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4731",3,1,3,3,1,2,3,2,4,5,1,3,2,4,4,3,5,1,4,1,0,3,2,1,2,3,2,4,0,1,8,3,0,6,6,3,2,1,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4732",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4733",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4734",32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4735",23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4736",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4737",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4738",38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4739",20,1,2,4,5,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4740",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4741",30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4742",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4743",6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4744",8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4745",40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4746",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4747",33,1,3,4,8,1,4,0,5,8,1,1,1,5,4,1,2,7,2,0,3,1,2,3,1,1,4,2,3,3,6,6,1,3,4,5,7,1,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4748",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,7,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4749",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4750",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4751",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4752",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4753",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4754",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4755",8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4756",33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4757",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4758",38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4759",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4760",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4761",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4762",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4763",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4764",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4765",34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4766",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4767",23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4768",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4769",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4770",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"4771",39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4772",38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4773",25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4774",33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4775",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,7,0,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4776",31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4777",9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4778",9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4779",23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4780",33,1,5,3,8,0,6,2,2,6,0,3,3,0,6,0,3,6,0,0,0,2,7,0,0,0,0,9,0,6,3,4,0,5,9,0,5,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4781",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4782",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4783",10,1,3,3,3,0,2,1,6,6,2,2,0,2,7,5,4,0,0,0,0,5,3,2,0,4,5,0,0,7,2,5,1,4,7,2,2,2,2,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4784",31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4785",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4786",11,1,4,3,3,0,7,2,2,5,2,3,0,4,5,3,3,3,3,0,0,3,3,2,0,3,3,4,0,5,4,6,2,2,7,2,2,2,6,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4787",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,4,6,0,0,0,0,5,4,0,0,6,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,3,0,0,1,0,0,1,0,0,0,0,0,"No" -"4788",39,1,3,3,9,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4789",26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4790",37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4791",31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" -"4792",34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4793",23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4794",2,1,3,3,1,0,5,4,1,9,0,0,1,2,6,5,4,1,5,4,0,0,1,0,8,1,1,0,1,1,8,5,4,0,0,9,3,0,3,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4795",33,1,3,4,8,0,5,1,3,5,0,4,3,2,5,0,3,6,1,0,2,0,4,3,2,1,3,4,1,1,8,5,2,3,6,3,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4796",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4797",39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4798",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4799",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4800",38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4801",38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4802",33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4803",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4804",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4805",23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4806",36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4807",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4808",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4809",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4810",23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4811",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4812",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4813",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4814",13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4815",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4816",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4817",10,2,3,2,3,1,1,1,7,5,1,4,0,0,9,0,5,5,0,0,0,5,0,5,0,4,0,5,0,0,9,5,1,3,7,2,0,5,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4818",33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4819",34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4820",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4821",34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4822",30,1,2,4,7,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4823",22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4824",33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4825",34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4826",31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4827",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4828",3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4829",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4830",6,1,3,3,2,0,3,1,6,8,1,0,0,4,5,6,3,1,5,0,2,3,1,0,5,2,2,1,0,1,8,6,3,0,1,8,1,1,2,6,0,7,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4831",33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4832",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4833",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4834",33,2,3,3,8,0,3,0,6,7,0,2,0,3,6,2,1,7,0,0,2,0,6,2,1,0,2,4,3,5,4,7,0,2,7,2,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4835",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4836",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4837",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4838",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4839",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4840",18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4841",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4842",10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4843",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4844",20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4845",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,4,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4846",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4847",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4848",4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"4849",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4850",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4851",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4852",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4853",12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4854",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4855",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4856",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4857",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4858",21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4859",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4860",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4861",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4862",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"4863",13,1,3,3,3,2,6,0,2,6,0,3,3,4,3,1,4,5,2,0,0,5,0,3,1,3,1,2,4,7,2,9,0,0,3,6,4,1,5,1,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4864",9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4865",34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4866",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4867",8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4868",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4869",8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4870",27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4871",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"4872",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4873",8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4874",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4875",29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4876",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4877",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4878",33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4879",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4880",16,1,1,5,4,1,4,0,5,2,2,5,5,3,1,4,1,5,0,0,0,6,0,3,0,1,3,5,0,3,6,0,0,9,6,3,9,0,0,0,0,1,1,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4881",39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4882",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,"Yes" -"4883",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4884",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4885",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4886",37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4887",34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4888",10,1,5,2,3,0,6,3,1,7,1,2,0,3,6,0,3,6,0,0,0,3,4,3,0,2,3,4,2,2,7,7,1,2,6,3,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4889",31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4890",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4891",32,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4892",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4893",38,1,3,3,9,2,3,0,5,5,1,4,3,2,4,2,5,2,3,0,0,5,2,1,3,3,1,2,1,7,2,7,1,2,5,4,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4894",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4895",3,1,3,3,1,2,3,1,5,6,1,3,0,6,3,4,4,2,6,1,0,2,0,2,4,2,0,3,2,2,7,5,2,2,3,6,0,4,3,2,2,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"4896",24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4897",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"4898",40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4899",39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4900",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4901",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4902",3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4903",31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4904",37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" -"4905",32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4906",13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4907",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4908",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4909",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4910",26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4911",31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4912",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4913",40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4914",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"4915",38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4916",34,1,4,3,8,0,7,1,1,7,0,2,0,0,9,0,4,5,1,0,0,4,0,5,0,3,1,5,0,0,9,5,2,2,4,5,0,0,1,8,0,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4917",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4918",38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4919",8,1,3,3,2,0,4,0,5,7,1,1,1,4,4,1,4,4,1,0,2,4,3,1,3,2,2,4,0,2,7,5,4,0,7,2,4,4,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4920",36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"4921",37,1,4,3,8,3,5,1,2,8,1,0,0,0,9,0,9,0,0,0,0,4,0,5,0,3,4,3,0,0,9,5,1,3,6,3,0,3,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4922",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4923",12,1,3,2,3,2,3,0,5,6,2,2,0,5,4,3,6,0,0,0,0,4,3,3,5,2,0,2,0,0,9,6,1,2,3,6,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4924",33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4925",39,1,2,4,9,1,4,0,4,6,0,3,3,5,2,2,3,4,4,0,0,3,2,2,3,1,3,2,3,3,6,7,1,2,3,6,4,0,4,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4926",23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4927",9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4928",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4929",9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4930",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4931",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4932",8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4933",13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4934",37,1,3,3,8,0,5,2,2,7,0,2,1,4,5,1,4,4,2,0,0,2,3,4,0,2,3,4,1,3,6,7,2,0,6,3,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4935",31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4936",31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4937",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4938",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4939",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,3,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,"No" -"4940",38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4941",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4942",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4943",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4944",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4945",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4946",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4947",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"4948",25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4949",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4950",3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4951",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4952",29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4953",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4954",22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4955",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4956",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4957",13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4958",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4959",28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4960",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4961",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4962",33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4963",32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"4964",8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4965",6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4966",3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4967",8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4968",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4969",30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4970",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4971",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4972",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"4973",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4974",25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"4975",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4976",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4977",37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4978",9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4979",33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"4980",8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4981",31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4982",11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4983",35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4984",36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4985",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"4986",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4987",39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4988",9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4989",10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4990",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4991",38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4992",7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4993",24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4994",5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"4995",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"4996",38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" -"4997",13,1,2,4,3,1,2,2,6,9,0,0,2,4,4,0,4,5,1,0,0,4,4,2,1,2,2,5,1,8,1,8,1,0,5,4,3,3,2,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"4998",8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,5,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"4999",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5000",31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5001",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5002",34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5003",26,2,1,6,6,0,5,2,2,2,0,7,7,2,0,0,2,7,3,0,0,2,2,3,0,0,4,3,3,9,0,4,0,5,9,0,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5004",2,1,3,3,1,1,2,2,5,6,0,3,3,2,5,4,5,1,2,4,0,3,2,0,5,2,2,2,0,8,1,5,1,3,3,6,2,2,3,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5005",23,1,3,3,5,3,2,1,5,3,1,6,0,5,4,3,4,2,0,1,0,3,2,4,5,0,0,4,0,4,5,2,0,7,9,0,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5006",4,1,1,4,1,0,6,3,0,6,0,3,6,3,0,3,5,1,0,0,0,3,0,6,1,2,6,1,0,8,1,6,0,3,6,3,5,0,4,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5007",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5008",37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5009",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5010",33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5011",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5012",8,1,2,3,2,2,4,2,4,4,0,5,5,1,3,3,4,3,2,0,0,6,0,2,2,4,1,3,0,6,3,7,2,0,4,5,2,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5013",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5014",13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5015",1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5016",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5017",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5018",5,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5019",1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5020",3,1,2,3,1,0,5,0,4,5,0,4,4,2,4,2,3,5,4,2,0,0,3,0,2,1,4,3,0,0,9,5,3,2,6,3,4,2,3,0,0,3,6,2,4,0,0,6,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5021",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5022",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5023",3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" -"5024",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5025",33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5026",37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5027",12,2,5,3,3,8,0,0,1,6,2,3,0,0,9,0,9,0,2,0,0,3,3,3,0,4,5,0,0,0,9,5,3,2,6,3,2,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5028",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5029",38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5030",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5031",32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5032",30,1,3,4,7,0,7,0,2,9,0,0,0,4,5,0,5,4,2,0,1,2,6,0,2,2,1,6,0,3,6,7,2,0,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"5033",6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5034",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5035",32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5036",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5037",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5038",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" -"5039",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5040",39,1,3,2,9,6,2,1,2,5,2,3,2,3,5,4,3,2,3,0,1,4,2,2,3,3,1,4,0,6,3,5,3,1,4,5,1,3,4,2,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5041",25,1,2,5,6,0,5,0,4,2,2,5,3,6,0,1,4,5,4,0,0,2,2,2,1,2,4,2,2,9,0,5,0,4,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5042",38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" -"5043",5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5044",3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5045",36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5046",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5047",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5048",36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5049",6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5050",36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5051",20,1,2,3,5,2,2,0,5,4,2,4,3,3,4,3,5,2,3,1,0,4,1,2,3,2,3,2,1,7,2,4,2,4,5,4,0,2,4,3,2,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5052",15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5053",38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5054",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5055",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5056",3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5057",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5058",33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5059",11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,2,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5060",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5061",16,1,1,2,4,2,4,1,4,1,1,7,7,2,1,3,5,1,5,2,1,2,1,1,2,1,4,3,0,7,2,1,0,8,4,5,7,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5062",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5063",31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5064",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5065",40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5066",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5067",34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5068",37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5069",38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5070",11,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5071",9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5072",40,1,3,4,10,0,6,0,3,7,0,2,0,5,4,2,2,6,3,0,5,0,2,0,2,1,4,3,0,2,7,6,2,2,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5073",31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5074",41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5075",8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5076",24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5077",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5078",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5079",41,1,2,4,10,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,4,0,0,3,6,0,4,0,0,5,0,3,6,0,0,0,6,0,0,1,0,0,0,0,1,1,0,1,0,0,2,0,1,1,0,0,0,1,0,0,1,0,0,"No" -"5080",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5081",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5082",22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5083",3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5084",29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5085",2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5086",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5087",9,1,4,3,3,3,2,0,4,6,1,2,0,4,5,0,0,9,0,0,0,2,0,7,0,0,0,0,9,9,0,7,0,2,3,6,2,2,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5088",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5089",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5090",36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5091",39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5092",33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5093",6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5094",30,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5095",34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5096",23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5097",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5098",37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5099",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5100",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5101",31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5102",3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5103",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5104",24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5105",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5106",38,1,3,3,9,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5107",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5108",28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5109",13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5110",37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5111",8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,6,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5112",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5113",13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5114",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5115",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5116",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5117",33,1,3,4,8,0,5,0,4,9,0,0,1,3,6,0,4,5,2,0,2,2,4,0,0,3,3,2,3,1,8,9,0,0,6,3,4,1,5,0,0,4,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5118",41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5119",26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5120",26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5121",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5122",38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5123",35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"5124",10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" -"5125",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5126",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5127",9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5128",8,1,3,3,2,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,7,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5129",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5130",33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5131",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5132",40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5133",3,1,3,3,1,1,5,2,3,5,1,4,1,4,4,3,5,1,2,1,0,6,1,1,3,2,4,1,1,1,8,5,1,3,5,4,1,4,2,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5134",10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5135",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5136",36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5137",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" -"5138",11,1,3,2,3,1,3,1,5,5,3,3,2,4,3,4,5,1,4,0,0,5,0,1,2,3,2,3,1,4,5,7,1,2,5,4,1,3,3,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"5139",31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5140",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5141",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5142",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5143",8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5144",35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5145",38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5146",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5147",29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5148",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5149",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5150",37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5151",33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5152",33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5153",8,2,2,3,2,2,2,0,5,7,0,2,2,5,3,5,3,1,2,2,0,4,3,1,4,2,2,3,0,0,9,9,0,0,4,5,0,1,4,4,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5154",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5155",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5156",41,1,3,3,10,1,5,0,4,7,0,2,2,2,5,1,3,6,0,1,3,2,3,2,2,2,1,6,0,4,5,4,5,0,2,7,2,5,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5157",2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5158",24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5159",24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5160",24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5161",6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5162",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5163",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" -"5164",32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5165",10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5166",13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5167",8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5168",9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5169",33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" -"5170",9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5171",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5172",33,1,4,2,8,0,3,1,5,6,1,3,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,1,3,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5173",1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5174",13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5175",33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5176",9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5177",33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5178",22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5179",11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5180",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5181",39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5182",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5183",3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5184",29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,"No" -"5185",25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5186",24,1,2,5,5,2,2,1,5,2,2,5,0,9,0,0,9,0,2,1,1,3,2,2,0,0,0,9,0,9,0,4,1,5,5,4,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5187",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5188",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5189",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5190",24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5191",35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,3,1,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" -"5192",1,1,3,3,1,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5193",33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5194",39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5195",27,1,1,5,6,0,3,2,5,4,0,5,6,2,1,3,4,3,3,0,0,4,1,3,1,1,3,4,2,7,2,4,0,5,2,7,6,1,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5196",36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" -"5197",41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5198",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5199",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5200",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5201",13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5202",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5203",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,0,3,0,3,4,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,1,2,0,0,0,1,0,0,0,0,0,"No" -"5204",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5205",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5206",40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5207",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5208",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5209",4,1,2,3,1,2,3,0,5,2,1,6,5,2,2,3,4,3,2,0,0,5,1,2,2,4,0,4,0,5,4,6,1,2,5,4,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5210",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5211",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5212",9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5213",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5214",12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5215",33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5216",3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5217",1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5218",23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"5219",24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5220",9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5221",1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5222",2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5223",9,1,2,2,3,1,2,4,4,8,1,1,1,6,3,2,7,1,2,0,0,7,1,1,2,5,2,1,0,6,3,8,1,1,7,2,1,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"5224",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5225",38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,3,0,0,"Yes" -"5226",1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5227",8,1,2,5,2,2,2,0,5,7,0,2,2,5,2,3,5,2,2,1,1,3,2,2,3,2,3,2,1,2,7,9,0,0,4,5,2,2,3,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5228",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5229",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5230",39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5231",38,1,2,4,9,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5232",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5233",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" -"5234",39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5235",24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5236",3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5237",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5238",23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5239",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5240",9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5241",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5242",11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5243",36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5244",24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5245",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5246",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5247",35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5248",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5249",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5250",37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5251",27,1,3,3,6,2,3,2,3,6,0,3,3,1,5,1,5,4,2,1,1,5,2,1,2,3,2,4,0,1,8,8,1,1,5,4,1,5,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5252",11,1,3,2,3,2,6,1,2,6,2,2,1,4,4,1,4,4,4,0,1,2,2,2,2,2,3,3,1,1,8,6,2,1,4,5,2,3,4,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"5253",39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5254",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5255",23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"5256",3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,2,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" -"5257",33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5258",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5259",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5260",9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5261",33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5262",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5263",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" -"5264",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5265",36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5266",38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5267",38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5268",38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5269",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5270",39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5271",41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5272",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5273",32,1,2,4,7,0,7,2,0,5,0,4,2,4,3,0,4,5,0,0,2,4,4,0,0,2,5,3,0,2,7,5,0,4,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5274",22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5275",23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5276",29,1,3,3,7,0,4,2,4,5,1,3,2,5,3,2,4,4,2,1,0,1,2,5,2,1,4,3,1,5,4,7,1,2,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5277",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5278",11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5279",33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5280",33,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5281",29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5282",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5283",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5284",33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5285",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5286",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5287",40,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5288",7,2,2,2,2,0,7,0,2,6,1,3,3,5,2,2,7,0,2,0,0,7,0,0,2,7,1,0,0,0,9,7,2,1,6,3,1,3,3,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5289",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5290",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5291",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5292",32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5293",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5294",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5295",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5296",33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5297",40,1,2,4,10,0,6,0,3,6,0,3,3,3,4,0,2,7,0,0,6,3,0,1,0,2,4,2,3,0,9,4,3,3,4,5,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5298",24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5299",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5300",40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5301",34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5302",31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5303",9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5304",39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,6,0,6,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5305",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5306",6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5307",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5308",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5309",13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5310",40,1,3,3,10,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5311",39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5312",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5313",38,1,1,1,9,0,6,0,3,0,2,7,7,2,0,9,0,0,2,0,0,2,2,4,0,3,6,0,0,9,0,0,0,9,2,7,9,0,0,0,0,1,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5314",40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5315",33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5316",8,1,3,3,2,1,5,0,4,8,1,1,0,4,5,1,5,3,3,0,0,4,3,1,1,2,4,3,0,2,7,6,3,0,5,4,2,3,5,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5317",40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5318",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5319",31,1,1,4,7,1,5,0,4,6,0,3,6,0,3,0,4,5,2,0,0,3,3,3,3,0,0,0,6,6,3,4,2,4,7,2,3,3,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5320",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5321",33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5322",36,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5323",41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5324",33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5325",33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5326",25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5327",1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5328",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5329",33,1,2,3,8,0,4,1,4,4,2,3,3,5,2,2,5,2,2,1,1,6,1,1,2,3,2,3,0,8,1,6,1,3,7,2,3,5,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5330",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5331",24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5332",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5333",8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5334",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5335",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5336",33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5337",23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5338",33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5339",10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5340",37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5341",6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5342",22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5343",3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5344",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5345",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5346",31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5347",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5348",30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5349",27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5350",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,2,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"5351",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5352",27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5353",29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5354",4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,5,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5355",38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5356",33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5357",12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5358",41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5359",33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5360",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5361",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5362",31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5363",2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5364",18,1,2,4,4,2,1,2,5,3,1,6,4,4,1,4,4,2,4,0,0,1,2,3,2,2,4,2,2,2,7,3,0,6,3,6,6,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5365",41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5366",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5367",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5368",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5369",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5370",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5371",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5372",8,1,3,3,2,0,6,3,0,9,0,0,1,5,3,2,4,4,3,0,2,3,2,1,3,2,2,3,0,1,8,4,4,2,4,5,2,4,1,3,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5373",24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5374",37,2,2,3,8,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5375",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5376",36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5377",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5378",9,1,2,3,3,1,4,0,5,7,0,2,2,5,3,1,6,2,2,0,0,6,0,2,1,1,6,2,0,8,1,5,1,4,6,3,1,1,8,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5379",33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5380",39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5381",5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5382",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"5383",10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5384",4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5385",1,2,3,3,1,4,0,2,4,9,0,0,0,5,4,7,2,0,8,0,0,0,0,1,9,0,0,0,0,0,9,5,1,3,5,4,0,0,4,4,2,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5386",9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5387",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5388",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5389",39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5390",39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5391",8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5392",2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5393",6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5394",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5395",36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5396",8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" -"5397",9,1,2,3,3,0,4,0,5,3,0,6,3,0,6,3,2,4,3,0,0,3,2,2,0,3,5,2,0,9,0,7,0,2,7,2,6,0,3,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5398",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,3,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"5399",38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5400",30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5401",35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5402",6,2,3,2,2,0,4,0,5,5,2,3,3,3,4,6,3,0,6,0,0,3,0,0,6,2,2,0,0,3,6,7,0,2,5,4,0,4,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5403",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5404",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5405",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5406",4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5407",33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5408",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5409",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5410",34,1,3,3,8,0,7,1,1,7,0,2,0,3,6,2,3,4,4,0,0,2,0,4,2,1,4,4,0,0,9,5,2,2,4,5,0,3,3,4,0,7,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5411",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5412",39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5413",8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5414",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5415",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5416",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5417",41,1,3,3,10,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5418",39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5419",4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5420",33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5421",27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5422",11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5423",10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5424",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5425",13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5426",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5427",6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5428",7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5429",33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5430",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5431",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5432",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5433",38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5434",39,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5435",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5436",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5437",35,1,2,3,8,0,4,0,5,7,0,2,3,3,4,3,3,4,5,0,0,3,0,2,1,3,3,2,1,1,8,6,1,2,7,2,2,3,4,1,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5438",6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5439",32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5440",31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5441",3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5442",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5443",34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" -"5444",38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5445",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5446",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5447",24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" -"5448",22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5449",3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5450",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5451",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5452",37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5453",31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5454",36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5455",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5456",39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5457",32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5458",23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5459",29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5460",12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5461",12,3,3,2,3,2,1,1,6,6,2,2,3,2,4,2,6,2,2,1,0,4,1,4,1,2,2,5,0,8,1,6,1,2,5,4,1,2,3,4,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5462",27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5463",38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5464",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5465",33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5466",23,1,2,2,5,3,2,1,5,2,2,6,5,3,2,1,6,3,3,0,0,4,1,3,2,3,2,3,1,9,0,5,1,4,6,3,3,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5467",29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5468",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5469",1,1,3,2,1,2,2,0,5,9,0,0,0,4,5,5,4,0,7,0,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,3,6,0,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5470",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5471",32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5472",8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5473",23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5474",33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5475",25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5476",8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5477",12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5478",33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5479",39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"5480",33,1,1,2,8,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5481",27,1,3,3,6,1,4,1,4,7,0,2,2,1,6,1,4,5,1,1,1,2,5,1,1,1,2,5,0,4,5,6,2,1,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5482",37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5483",23,2,3,3,5,0,1,2,6,7,0,2,0,2,7,1,5,3,2,0,0,5,0,3,1,4,0,4,0,4,5,9,0,0,7,2,0,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5484",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5485",13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5486",4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5487",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5488",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5489",27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5490",35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5491",24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5492",9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5493",25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5494",6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5495",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5496",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5497",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5498",9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" -"5499",16,1,2,4,4,2,2,0,6,5,0,4,4,2,3,3,4,3,1,0,0,4,2,3,1,3,2,2,2,3,6,4,2,4,7,2,5,0,4,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5500",24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5501",3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5502",36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5503",30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5504",10,1,5,2,3,0,5,3,2,9,0,0,0,0,9,0,4,5,1,1,0,5,2,2,0,0,0,4,5,0,9,6,0,3,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5505",33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5506",33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5507",39,2,3,3,9,0,5,2,3,6,2,2,2,4,4,1,4,5,2,0,2,2,3,2,2,1,2,4,1,5,4,6,1,2,6,3,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5508",13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5509",39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5510",23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5511",13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5512",33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5513",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5514",23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5515",31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5516",8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" -"5517",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5518",9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5519",9,1,3,2,3,2,3,0,5,7,2,0,0,5,4,1,5,4,1,0,0,4,1,4,1,3,2,5,0,8,1,9,0,0,6,3,4,1,4,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5520",13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5521",3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5522",31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,6,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5523",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" -"5524",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" -"5525",33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5526",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5527",8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5528",33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5529",9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5530",8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5531",29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5532",3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" -"5533",11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5534",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"5535",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5536",4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5537",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5538",24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5539",41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5540",37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5541",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5542",11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5543",36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5544",25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5545",11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5546",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5547",38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5548",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5549",8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,5,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" -"5550",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5551",33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5552",33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5553",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5554",32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5555",33,1,3,4,8,0,0,0,9,9,0,0,0,3,6,0,2,7,3,0,0,2,5,0,0,2,3,5,0,4,5,7,2,0,5,4,0,0,9,0,0,5,3,0,0,0,6,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" -"5556",10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5557",3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5558",36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" -"5559",8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5560",35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5561",22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5562",33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5563",9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5564",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5565",3,1,2,2,1,0,4,0,5,5,2,2,0,6,3,0,3,6,4,0,2,2,3,0,0,0,0,5,4,3,6,6,2,2,6,3,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5566",11,1,3,2,3,3,2,0,4,9,0,0,0,3,6,3,6,0,0,0,0,9,0,0,0,7,3,0,0,0,9,9,0,0,4,5,0,4,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5567",41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5568",34,1,2,3,8,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5569",38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5570",38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5571",33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5572",35,1,2,4,8,0,9,0,0,5,0,4,2,4,3,0,2,7,0,0,0,2,1,7,0,0,2,5,3,5,4,7,0,2,5,4,5,2,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5573",12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5574",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5575",5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5576",8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5577",39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5578",35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,2,0,0,5,0,0,0,0,0,3,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" -"5579",3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" -"5580",1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5581",18,1,2,2,4,2,0,0,7,0,2,7,5,3,2,5,4,0,3,1,0,2,2,3,2,1,5,2,0,5,4,2,2,6,3,6,6,1,2,1,1,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5582",37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5583",33,1,3,4,8,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5584",5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5585",33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5586",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5587",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5588",38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5589",3,1,1,4,1,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5590",35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5591",8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5592",41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5593",39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5594",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5595",8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5596",23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5597",23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5598",31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5599",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5600",38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5601",12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5602",33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5603",39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5604",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5605",25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5606",29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5607",33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5608",1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5609",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" -"5610",22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5611",35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5612",10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5613",24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5614",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5615",9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5616",10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5617",9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5618",33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5619",25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5620",36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,2,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" -"5621",26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5622",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5623",9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5624",37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5625",39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5626",25,1,1,4,6,1,5,2,2,4,2,4,9,0,0,0,9,0,4,0,0,5,0,0,0,0,5,4,0,9,0,7,2,0,4,5,0,5,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5627",4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,"No" -"5628",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5629",33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5630",33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5631",37,1,2,3,8,2,6,1,1,6,0,3,2,6,1,0,6,3,0,0,0,4,5,0,0,2,2,6,0,2,7,4,1,4,6,3,3,2,2,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" -"5632",27,1,1,6,6,0,5,0,4,3,1,5,5,4,0,3,4,2,4,0,0,4,1,1,3,1,5,1,1,9,0,7,0,2,9,0,2,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5633",8,1,3,4,2,3,3,1,4,6,2,2,0,5,4,0,9,0,0,0,0,4,0,5,0,9,0,0,0,0,9,7,1,2,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5634",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5635",33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5636",36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5637",23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5638",3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5639",9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5640",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5641",32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5642",30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5643",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5644",34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5645",38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5646",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5647",41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5648",10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5649",23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5650",34,1,1,5,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,1,5,0,9,0,6,2,1,5,4,8,0,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5651",33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5652",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5653",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5654",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5655",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,4,0,6,6,0,0,0,0,0,0,2,0,0,0,6,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5656",38,1,2,3,9,0,2,3,4,6,3,0,0,6,3,0,3,6,0,0,0,3,3,4,0,2,0,7,0,6,3,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5657",33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5658",39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,6,0,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"5659",10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5660",39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" -"5661",6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5662",32,1,3,4,7,0,3,0,6,7,0,2,1,3,5,0,4,5,2,0,2,2,3,2,1,1,3,4,1,6,3,7,2,0,7,2,3,6,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" -"5663",39,1,3,4,9,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5664",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5665",40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5666",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5667",3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5668",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5669",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5670",8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5671",9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5672",1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5673",39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5674",6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5675",23,1,3,3,5,1,2,0,7,4,1,4,4,2,3,4,3,3,2,0,0,3,1,4,3,1,2,3,1,6,3,5,0,4,6,3,3,3,3,1,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5676",41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5677",8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5678",25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5679",21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5680",38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5681",3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5682",31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5683",36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"5684",38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5685",23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5686",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5687",23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5688",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5689",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5690",6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5691",9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5692",41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5693",38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5694",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5695",35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5696",26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5697",37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5698",11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5699",31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5700",35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" -"5701",1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5702",6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5703",7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5704",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5705",32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5706",29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5707",13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5708",9,1,2,3,3,2,2,3,4,7,1,2,3,1,5,5,3,2,2,0,0,4,2,2,1,4,1,3,0,9,0,5,1,4,4,5,3,3,2,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5709",22,1,2,3,5,1,2,1,6,4,2,4,6,3,1,4,4,2,2,1,0,3,2,2,2,2,3,3,1,8,1,6,1,2,4,5,5,2,2,1,1,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5710",3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5711",1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5712",41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,3,0,6,6,0,0,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,2,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" -"5713",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5714",36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5715",9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5716",33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5717",37,1,2,3,8,0,6,0,3,7,0,2,1,6,3,3,5,1,0,0,0,5,4,1,0,3,0,6,1,1,8,6,3,0,5,4,6,1,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" -"5718",25,2,2,4,6,0,4,0,5,5,0,4,4,4,2,2,6,2,0,0,0,6,3,0,0,5,2,2,0,2,7,5,0,4,7,2,0,4,5,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5719",33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5720",23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5721",37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5722",39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5723",7,1,2,4,2,4,5,0,0,5,0,4,4,3,2,0,6,3,6,0,0,0,0,3,4,0,0,2,3,0,9,9,0,0,4,5,4,4,0,3,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5724",10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5725",33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5726",29,1,1,2,7,0,3,2,5,5,2,3,7,2,0,0,4,5,1,0,0,4,3,2,0,0,0,5,4,9,0,8,0,1,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5727",29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5728",32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5729",2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5730",35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5731",23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5732",36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5733",33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5734",3,1,2,4,1,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5735",33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5736",41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,3,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5737",23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5738",13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5739",33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5740",3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5741",6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5742",36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5743",30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5744",9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5745",23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5746",17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5747",13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5748",8,1,3,4,2,0,2,0,7,9,0,0,0,5,4,3,5,1,5,0,1,3,1,0,5,3,1,1,0,5,4,9,0,0,5,4,1,5,4,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5749",33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" -"5750",2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" -"5751",34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5752",23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5753",23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5754",33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5755",33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5756",39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,7,0,0,0,3,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" -"5757",6,1,5,3,2,2,4,0,4,4,2,4,0,1,8,4,5,0,4,0,0,0,1,4,4,4,1,1,0,0,9,5,0,4,7,2,4,2,2,3,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5758",9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5759",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5760",31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5761",22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5762",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5763",37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5764",30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5765",33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5766",3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5767",10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5768",3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5769",11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5770",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5771",10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5772",39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5773",31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5774",33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5775",10,1,3,3,3,3,2,1,5,8,0,1,2,1,7,1,5,3,7,0,0,1,1,1,3,3,3,2,1,6,3,2,3,5,8,1,1,1,8,0,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5776",37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5777",35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5778",8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5779",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5780",9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5781",10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5782",33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5783",24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5784",35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5785",11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5786",31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5787",41,1,2,3,10,0,9,0,0,9,0,0,3,5,2,0,6,3,0,0,0,6,2,2,1,2,2,2,3,4,5,9,0,0,7,2,3,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5788",8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,4,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" -"5789",23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5790",32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5791",35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5792",36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5793",13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5794",30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5795",33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5796",22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5797",39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5798",8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5799",27,1,1,6,6,1,5,2,3,5,1,3,5,4,1,4,5,1,5,0,0,4,0,0,5,4,1,0,1,8,1,6,1,3,7,2,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5800",9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5801",31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" -"5802",3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5803",3,1,2,4,1,1,4,1,4,8,0,1,2,5,3,3,3,4,5,1,0,2,1,1,3,2,2,3,1,3,6,6,3,1,3,6,2,1,4,2,2,7,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5804",36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5805",23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5806",33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5807",38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5808",38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5809",31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,3,5,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,"No" -"5810",35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" -"5811",33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5812",39,1,3,2,9,1,5,1,3,7,1,2,2,3,5,1,5,3,3,0,3,1,2,2,3,2,3,3,1,3,6,5,3,1,4,5,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5813",40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,6,0,0,0,1,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" -"5814",3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5815",1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5816",13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" -"5817",3,1,2,3,1,0,6,0,3,6,0,3,0,7,2,0,7,2,0,0,0,5,2,3,0,2,3,5,0,0,9,5,2,2,5,4,0,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5818",36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" -"5819",35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" -"5820",33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" -"5821",34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" -"5822",33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +"MOSTYPE","MAANTHUI","MGEMOMV","MGEMLEEF","MOSHOOFD","MGODRK","MGODPR","MGODOV","MGODGE","MRELGE","MRELSA","MRELOV","MFALLEEN","MFGEKIND","MFWEKIND","MOPLHOOG","MOPLMIDD","MOPLLAAG","MBERHOOG","MBERZELF","MBERBOER","MBERMIDD","MBERARBG","MBERARBO","MSKA","MSKB1","MSKB2","MSKC","MSKD","MHHUUR","MHKOOP","MAUT1","MAUT2","MAUT0","MZFONDS","MZPART","MINKM30","MINK3045","MINK4575","MINK7512","MINK123M","MINKGEM","MKOOPKLA","PWAPART","PWABEDR","PWALAND","PPERSAUT","PBESAUT","PMOTSCO","PVRAAUT","PAANHANG","PTRACTOR","PWERKT","PBROM","PLEVEN","PPERSONG","PGEZONG","PWAOREG","PBRAND","PZEILPL","PPLEZIER","PFIETS","PINBOED","PBYSTAND","AWAPART","AWABEDR","AWALAND","APERSAUT","ABESAUT","AMOTSCO","AVRAAUT","AAANHANG","ATRACTOR","AWERKT","ABROM","ALEVEN","APERSONG","AGEZONG","AWAOREG","ABRAND","AZEILPL","APLEZIER","AFIETS","AINBOED","ABYSTAND","Purchase" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,1,4,1,4,6,2,2,0,4,5,0,5,4,0,0,0,5,0,4,0,2,3,5,0,2,7,7,1,2,6,3,2,0,5,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,2,9,2,2,0,5,7,2,0,0,3,6,0,4,5,0,0,0,4,1,5,0,1,4,5,0,6,3,8,0,1,9,0,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,3,3,3,3,5,0,2,7,0,2,2,2,6,0,4,5,2,0,0,3,3,3,1,2,1,4,2,0,9,6,1,2,6,3,2,3,3,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,6,0,3,6,0,3,0,0,9,0,3,6,2,0,0,2,5,2,0,2,4,4,0,7,2,3,6,0,6,3,7,0,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,"Yes" +8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,4,8,0,1,1,7,2,2,2,6,2,0,3,2,2,2,2,1,3,4,1,6,3,6,0,3,7,2,4,2,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,5,3,2,4,1,4,5,4,1,2,4,3,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,1,3,3,4,0,0,5,0,2,7,7,2,1,0,7,2,0,0,0,3,0,6,0,3,4,0,2,8,1,2,0,7,7,2,6,3,0,2,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,5,2,2,7,0,2,2,4,4,0,4,5,1,0,0,3,2,5,0,1,4,3,2,2,7,6,0,3,8,1,2,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,6,0,0,3,8,0,1,1,4,5,5,4,2,6,1,0,3,1,0,6,2,1,2,0,0,9,7,2,1,1,8,1,0,3,5,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,3,3,0,4,6,0,3,4,2,4,3,5,2,3,1,0,2,2,2,4,2,1,2,1,6,3,7,1,1,2,7,2,3,3,3,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,4,3,8,2,4,2,3,7,0,2,1,3,5,4,5,0,4,1,0,3,0,3,4,2,4,0,0,8,1,6,3,0,0,9,0,4,4,1,1,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,3,2,4,5,2,2,3,4,4,2,4,5,4,2,3,2,5,5,0,0,4,1,0,2,2,1,4,1,8,1,1,2,6,8,1,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,3,3,0,3,7,2,1,1,6,3,0,2,7,1,0,0,2,3,4,0,2,1,7,1,6,3,7,1,2,7,2,5,3,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,4,2,6,0,3,3,4,3,7,2,0,7,0,0,2,0,1,7,2,0,0,0,0,9,5,4,0,3,6,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,"No" +37,1,2,3,8,0,5,2,3,5,2,3,2,6,1,1,3,5,2,1,0,3,1,4,1,1,2,3,3,4,5,7,1,2,6,3,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,6,2,2,9,0,0,0,4,5,2,4,4,5,0,0,4,0,0,5,0,0,4,0,2,7,7,2,0,6,3,5,2,0,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,0,0,9,5,4,0,0,4,5,3,6,0,3,0,0,6,0,0,3,2,4,0,0,0,9,6,3,0,6,3,0,3,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,2,0,7,7,0,2,0,3,6,1,6,3,0,0,0,4,3,2,0,4,2,4,0,0,9,6,1,2,5,4,0,1,6,3,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,2,1,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,2,4,8,1,1,1,5,4,2,1,7,2,0,0,3,3,2,2,1,1,7,0,9,0,6,2,2,7,2,2,3,2,4,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,5,0,0,0,0,3,0,6,0,0,0,0,4,0,0,0,1,0,0,0,0,2,0,0,0,0,1,0,2,0,0,0,0,1,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,4,5,0,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,2,3,4,7,1,2,2,2,5,4,3,3,2,0,0,4,2,2,2,3,2,3,0,9,0,5,1,4,4,5,1,3,5,1,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,6,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +10,1,3,2,3,1,2,2,6,9,0,0,0,3,6,3,4,2,4,0,0,3,2,1,4,2,2,3,0,0,9,6,2,2,5,4,0,3,4,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,3,6,3,2,1,4,1,0,8,7,1,1,1,4,5,1,1,2,3,0,5,2,1,3,3,2,8,1,1,1,8,6,3,5,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +38,1,3,2,9,1,0,1,7,4,1,4,1,1,8,4,4,2,4,1,0,2,2,3,2,1,5,2,0,6,3,6,0,3,6,3,3,2,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,8,0,6,0,0,0,0,0,0,0,0,0,4,0,4,0,2,0,0,0,0,7,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,2,0,7,5,2,3,2,4,4,2,5,3,4,0,0,0,1,4,2,1,5,2,0,9,0,4,3,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,4,6,0,0,0,2,3,2,0,0,2,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,1,0,0,3,0,0,0,0,0,"No" +33,1,2,4,8,3,6,0,0,5,0,4,4,3,3,0,3,6,0,0,0,5,4,0,0,3,0,6,0,0,9,3,3,4,9,0,4,0,3,3,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,0,2,7,8,0,1,1,6,3,0,3,6,0,0,0,4,3,2,0,1,2,6,0,7,2,7,0,2,7,2,1,8,0,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,1,4,1,5,6,1,2,3,4,3,1,4,5,1,0,0,3,1,6,1,1,2,5,2,4,6,5,1,4,8,1,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,1,5,7,1,2,2,4,4,4,3,3,3,1,0,4,1,2,3,3,1,3,1,6,3,6,2,2,3,6,2,3,3,2,0,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,1,9,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,2,2,4,0,3,0,6,2,3,4,2,6,1,6,1,3,1,0,0,3,2,4,1,1,5,2,2,7,2,7,0,2,4,5,4,5,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,0,3,0,6,0,0,0,0,5,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,2,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,"Yes" +36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,9,0,0,0,5,1,3,3,5,2,2,4,3,2,0,1,2,0,4,2,2,3,3,1,2,7,4,0,5,7,2,4,2,3,1,2,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,0,0,9,5,2,2,2,5,2,2,4,4,3,0,3,0,0,3,3,0,3,4,0,2,7,7,2,0,6,3,5,0,0,4,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +4,1,1,3,1,5,3,0,2,6,0,3,8,1,0,8,1,1,4,0,0,4,0,1,5,3,0,2,0,8,1,5,2,2,3,6,1,1,4,4,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,5,0,3,4,0,5,5,3,2,1,4,5,1,0,0,4,4,2,1,3,1,5,1,7,2,4,2,3,6,3,5,1,1,3,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,3,1,5,5,2,3,2,3,4,1,3,5,2,0,0,3,3,3,2,1,2,4,2,5,4,6,1,3,7,2,3,3,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,3,1,6,7,1,2,5,3,1,2,4,4,3,0,0,4,3,0,0,4,0,3,3,2,7,5,1,3,7,2,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,1,6,1,3,5,0,4,0,5,4,0,4,5,5,0,0,4,0,0,0,3,6,0,0,4,5,5,2,4,4,5,2,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,2,2,5,4,3,2,2,2,5,2,1,0,4,0,4,2,2,2,4,2,9,0,2,0,7,7,2,6,2,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,0,3,7,0,2,4,1,5,3,2,4,1,2,4,1,1,2,3,1,4,3,1,1,8,6,3,0,5,4,4,4,1,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +21,1,3,2,5,3,4,0,3,4,3,3,0,4,5,0,4,5,3,0,0,2,5,1,2,0,2,6,0,9,0,5,0,4,9,0,6,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,3,2,1,4,5,2,3,2,0,7,1,3,5,2,0,0,3,2,3,0,2,2,6,0,7,2,4,2,3,5,4,2,2,4,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,2,2,4,1,3,0,6,1,2,6,6,2,1,7,1,2,0,0,0,3,4,3,0,1,7,2,1,6,3,4,1,5,4,5,8,0,1,0,0,1,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,6,1,2,6,2,2,0,3,6,3,5,2,2,0,0,2,2,4,2,2,4,3,0,0,9,5,2,3,6,3,2,3,2,4,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,4,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,8,0,1,8,0,1,2,2,5,2,4,4,2,0,0,3,4,1,1,3,4,3,0,8,1,8,1,0,6,3,3,3,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,2,1,4,2,1,0,6,1,3,6,6,2,2,7,2,0,4,0,0,5,0,0,2,3,5,0,0,9,0,3,1,5,3,6,5,3,2,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,4,0,5,9,0,0,0,2,7,0,5,4,2,0,0,2,3,3,1,2,2,4,1,1,8,5,2,2,8,1,2,1,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,"Yes" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,3,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,1,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,3,0,3,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,3,2,1,5,7,0,2,2,4,4,2,4,3,2,1,1,2,2,3,2,2,2,3,1,5,4,7,2,0,4,5,3,2,3,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,4,0,5,0,5,4,0,0,2,7,3,4,3,3,0,0,5,0,2,2,2,2,4,0,3,6,9,0,0,0,9,0,3,6,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,0,9,0,0,9,0,0,0,4,5,2,3,4,0,2,0,3,2,2,2,2,3,4,0,3,6,6,3,0,5,4,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,4,2,5,3,2,0,4,5,2,7,0,4,0,0,4,0,2,4,3,2,0,0,3,6,4,4,2,5,4,4,5,0,0,0,3,7,0,4,0,6,6,6,0,0,0,0,0,4,0,0,6,6,0,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,3,3,4,6,0,3,2,1,6,3,4,2,3,0,0,4,1,3,3,3,2,2,1,2,7,5,2,2,4,5,1,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,2,3,4,4,5,0,0,3,2,5,1,7,1,8,1,1,2,0,0,6,2,0,1,1,7,1,0,1,8,3,0,6,6,3,2,0,7,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,2,3,0,4,4,2,3,3,3,3,2,3,5,2,2,0,4,2,2,1,2,2,4,2,6,3,4,1,5,7,2,4,3,2,2,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,2,1,0,6,8,0,1,0,0,9,2,6,1,2,0,0,4,1,3,2,5,3,1,0,0,9,5,4,0,2,7,0,0,3,4,2,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,"No" +4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,9,0,0,0,9,0,0,0,0,9,4,5,0,5,4,0,0,0,0,9,0,0,0,0,0,9,3,6,0,3,6,0,0,0,9,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,0,0,0,9,4,0,5,0,0,9,5,4,0,3,5,0,0,3,0,0,0,5,4,0,9,0,2,3,5,3,6,3,0,4,2,2,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,3,3,1,4,6,1,3,0,3,6,3,2,4,3,0,0,2,4,0,2,0,0,4,3,3,6,6,1,3,6,3,0,0,5,0,4,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,5,1,3,6,0,3,2,1,6,1,4,4,1,0,0,5,2,3,1,3,2,4,0,3,6,8,1,0,6,3,5,3,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,0,3,6,2,2,1,4,5,1,6,3,1,0,0,3,3,3,1,3,2,5,0,4,5,8,0,1,8,1,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,2,2,5,1,3,3,3,4,2,4,4,2,1,1,4,2,2,2,2,3,2,2,4,5,4,2,3,6,3,2,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,1,1,4,1,4,1,5,1,2,7,6,3,0,3,6,0,1,1,0,4,2,3,0,0,5,4,0,9,0,3,1,5,6,3,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,2,4,1,3,6,1,3,6,0,3,4,4,2,3,0,1,4,0,2,3,4,2,1,0,0,9,6,1,3,5,4,0,3,5,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,4,4,0,2,9,0,0,3,2,4,1,2,6,2,0,0,2,4,2,1,1,3,3,3,2,7,5,2,2,5,4,3,3,3,2,0,4,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,0,2,0,7,3,4,2,2,3,5,2,2,5,0,0,0,4,5,0,1,0,4,4,1,2,7,6,3,0,7,2,3,3,3,1,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,4,2,2,9,0,0,4,2,4,1,6,3,3,1,0,3,2,2,1,3,2,4,0,4,5,9,0,0,5,4,1,7,1,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,2,1,4,6,0,9,0,0,2,0,7,4,3,3,0,4,5,2,0,0,4,2,2,0,2,3,3,2,9,0,2,0,7,9,0,4,4,0,1,0,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,1,5,2,2,6,1,2,2,4,4,1,6,2,3,0,1,3,1,2,2,3,2,2,2,5,4,5,2,3,5,4,3,3,3,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,8,0,1,3,3,3,1,3,6,1,1,6,2,1,0,3,1,3,2,2,4,5,7,2,0,5,4,3,3,4,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,5,6,0,4,2,4,3,0,6,6,3,0,2,7,0,2,0,0,7,0,0,3,5,2,0,0,9,0,5,0,4,2,7,2,0,7,0,0,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,6,0,3,3,0,6,0,2,7,0,0,0,0,9,0,0,0,0,9,0,2,7,9,0,0,9,0,3,0,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,4,2,1,3,5,0,4,4,3,3,9,0,0,3,1,0,3,1,3,0,9,0,0,0,0,9,6,1,3,2,7,0,0,0,0,9,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,3,1,5,4,2,4,0,4,5,0,6,3,0,0,0,6,0,3,0,6,0,3,0,3,6,6,0,3,8,1,3,3,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,2,5,0,2,9,0,0,0,4,5,0,3,6,2,0,2,2,2,2,0,2,2,5,0,0,9,6,3,0,7,2,5,0,5,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +8,1,3,3,2,2,3,0,5,7,2,0,0,5,4,1,8,1,3,0,0,4,1,3,1,2,4,4,0,5,4,9,0,0,6,3,2,1,4,3,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,4,5,2,2,2,4,0,0,9,9,0,0,2,5,3,0,1,0,5,2,2,1,4,2,3,0,9,0,2,0,7,5,4,4,2,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,6,1,2,8,1,0,2,4,4,2,5,3,5,0,0,2,2,2,3,1,3,3,0,3,6,5,2,2,3,6,1,3,5,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +16,2,1,1,4,4,3,0,3,2,3,5,8,0,1,8,1,1,3,0,0,4,3,0,0,0,8,1,1,8,1,5,0,4,6,3,8,0,1,0,0,1,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,2,3,3,8,0,1,1,4,5,1,7,1,3,0,1,4,1,2,1,5,2,2,0,2,7,8,1,0,3,6,1,3,5,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,1,4,1,4,7,2,0,1,3,5,1,3,5,2,0,0,5,0,2,2,2,1,5,0,2,7,8,1,0,7,2,0,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,1,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,0,8,0,1,7,2,0,0,6,3,1,1,8,4,2,0,2,2,2,1,1,1,6,1,1,8,6,2,2,4,5,4,4,1,1,0,3,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,7,0,0,9,0,0,3,2,4,0,3,6,1,0,2,3,2,3,1,2,2,5,1,4,5,7,2,0,9,0,4,4,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,5,0,4,9,0,0,0,4,5,0,3,6,0,0,0,3,6,0,0,2,0,7,0,4,5,9,0,0,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,3,9,0,3,2,5,5,1,3,3,3,4,2,3,5,3,1,0,1,3,3,2,1,2,4,2,4,5,5,1,4,7,2,5,2,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,2,5,2,1,8,0,1,6,1,3,3,5,2,2,4,4,6,0,0,3,1,1,4,1,4,1,0,4,5,7,2,1,6,3,3,3,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +24,1,2,2,5,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,2,3,6,0,9,0,0,9,0,0,4,2,4,2,3,4,6,0,0,3,0,0,1,2,4,3,0,2,7,7,0,2,3,6,1,4,2,2,2,6,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,7,0,2,8,1,0,0,5,4,4,1,5,4,0,2,2,2,0,3,1,3,3,0,0,9,6,3,0,3,6,3,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,1,6,0,3,6,2,2,0,7,2,0,4,5,2,0,0,3,3,2,0,2,3,5,0,9,0,6,2,1,6,3,3,0,5,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,0,5,4,0,5,3,3,3,0,3,6,2,0,0,2,0,6,1,0,2,6,2,7,2,7,0,2,9,0,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,2,3,1,5,4,2,5,4,4,2,4,3,3,4,1,0,2,1,3,3,1,3,3,1,8,1,5,1,4,3,6,5,2,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,5,1,2,6,2,2,1,7,2,1,4,5,1,0,0,4,3,3,1,3,1,3,3,1,8,8,0,1,6,3,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,4,2,0,3,4,1,4,3,4,3,2,3,5,1,1,1,2,1,5,1,1,2,5,2,5,4,4,1,5,7,2,6,2,2,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,0,3,0,6,5,0,4,1,4,4,0,0,9,0,0,0,0,2,7,0,0,0,4,5,8,1,6,0,3,9,0,2,5,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,4,3,1,2,6,1,2,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,5,7,1,2,6,3,0,5,5,0,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,5,8,2,3,2,4,7,2,1,4,4,1,0,5,4,2,0,0,5,2,2,0,1,5,4,0,4,5,7,1,1,7,2,4,5,0,0,0,3,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,0,0,4,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,0,0,1,2,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,1,6,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,1,0,"Yes" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,8,6,0,0,0,0,0,0,9,0,0,0,7,0,0,0,0,0,0,0,0,6,1,0,0,0,0,0,0,8,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,0,1,8,2,0,0,2,6,0,1,0,2,2,5,8,1,9,0,0,7,2,5,3,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,4,2,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,5,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,2,4,5,6,1,0,2,5,2,3,4,3,3,4,3,3,3,0,0,6,0,0,1,2,2,6,0,3,6,5,1,4,6,3,4,2,0,2,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,1,6,8,2,5,1,2,7,0,2,5,4,0,0,6,3,5,0,0,5,0,0,2,2,0,3,3,9,0,7,2,1,5,4,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,10,2,2,4,1,1,1,7,2,2,6,6,2,2,5,2,2,3,1,0,3,1,2,5,1,2,1,2,6,3,4,0,5,4,5,4,1,4,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,3,7,0,9,0,0,4,0,5,5,1,4,0,4,5,0,0,0,2,2,6,0,1,2,4,3,3,6,5,1,3,6,3,5,2,3,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,0,0,7,4,1,4,0,3,6,3,3,4,3,0,0,3,1,3,2,1,4,3,1,8,1,7,0,2,6,3,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +40,1,4,3,10,2,5,0,3,8,1,1,1,3,6,2,4,4,2,0,7,0,1,1,5,0,4,1,0,1,8,4,5,1,1,8,2,0,7,1,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,6,0,3,7,0,2,2,2,6,3,4,2,4,0,3,2,0,0,5,2,3,0,0,0,9,6,3,0,4,5,0,3,3,3,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,5,2,3,5,2,3,4,2,3,2,4,3,2,0,0,4,2,2,2,2,2,3,2,7,2,5,1,3,9,0,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,8,1,1,1,3,6,0,3,6,0,0,2,3,4,1,0,2,4,4,1,2,7,7,1,2,6,3,2,2,6,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,4,7,1,2,1,4,5,0,2,7,1,0,0,6,2,2,1,2,1,6,1,8,1,6,1,2,9,0,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,1,5,0,4,3,4,3,4,4,2,2,3,5,1,0,0,6,1,2,1,2,2,2,3,6,3,5,0,4,6,3,4,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,4,3,7,2,4,0,4,7,0,2,0,2,7,1,1,8,1,0,0,1,2,6,1,0,1,7,1,1,8,5,2,2,7,2,0,8,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,1,3,3,0,6,6,1,3,2,2,5,2,0,0,4,3,1,2,2,0,5,1,8,1,5,0,4,9,0,5,2,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,2,4,2,1,3,1,5,6,1,2,3,5,2,0,0,9,0,0,0,2,3,5,0,0,0,4,5,9,0,6,2,2,7,2,9,0,0,0,0,2,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,2,6,0,1,6,2,2,2,5,3,1,2,6,3,1,1,2,2,3,2,1,1,4,2,6,3,7,0,2,6,3,5,2,1,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,2,2,0,3,0,6,5,0,4,4,4,2,2,5,3,3,0,1,3,1,3,2,4,1,3,1,2,7,4,3,3,3,6,3,1,2,4,0,6,8,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,6,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,6,0,0,0,2,0,0,5,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,5,1,3,3,4,2,3,2,5,3,0,0,4,3,0,2,2,0,3,3,3,6,6,1,2,5,4,2,0,7,0,0,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,1,4,6,0,3,3,4,2,1,1,8,0,2,0,1,7,0,0,1,2,6,0,0,9,7,2,0,7,2,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,0,0,9,3,0,6,6,2,2,0,6,3,0,0,0,4,3,2,0,4,3,3,0,4,5,0,0,9,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,6,0,3,3,1,5,7,0,2,4,0,5,2,0,0,4,0,4,0,3,3,0,4,4,5,6,1,2,6,3,5,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,2,3,9,0,0,3,4,2,0,6,3,3,0,0,3,2,2,3,2,0,5,0,5,4,6,1,3,6,3,2,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,2,2,5,7,1,2,2,4,4,1,3,5,2,0,1,4,2,2,1,1,3,5,1,1,8,4,0,5,6,3,2,4,3,2,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,6,1,3,1,2,6,6,3,0,0,0,9,0,0,1,1,5,3,0,0,1,7,2,9,0,1,0,8,8,1,7,2,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,3,2,5,1,3,3,4,8,1,1,1,4,5,0,4,5,1,0,0,3,5,2,1,2,3,5,0,3,6,6,1,2,8,1,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,6,0,3,1,2,7,3,2,4,1,0,1,4,1,4,1,3,2,1,3,0,9,6,3,0,4,5,0,4,2,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +25,1,1,4,6,0,5,2,3,3,1,6,6,3,1,2,4,3,2,1,0,5,2,1,2,2,3,3,1,9,0,5,0,4,5,4,5,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,2,1,5,6,0,5,0,5,5,0,5,7,2,0,0,2,7,2,0,2,3,0,4,0,0,4,3,2,9,0,0,0,9,2,7,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,2,7,0,0,9,0,0,0,7,2,4,5,0,6,0,0,3,0,0,6,3,0,0,0,0,9,7,2,0,3,6,0,0,9,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,2,8,3,2,1,4,7,2,1,0,2,7,2,5,3,3,0,0,4,2,1,2,2,3,3,0,7,2,7,1,2,6,3,1,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,1,0,0,6,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,6,0,0,3,7,0,2,0,5,4,2,6,2,1,1,0,5,3,1,1,1,4,3,0,7,2,9,0,0,3,6,0,1,5,3,0,6,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,3,2,7,0,2,3,2,6,0,5,4,1,0,0,4,5,0,1,2,2,5,0,2,7,7,0,2,8,1,2,2,4,2,0,5,3,0,0,4,6,0,0,0,0,3,0,0,5,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,2,5,2,2,7,2,0,0,3,6,2,3,5,3,0,2,3,1,2,4,0,2,4,0,1,8,7,2,0,6,3,5,2,2,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,3,3,8,2,4,1,3,6,1,3,5,0,4,3,3,3,3,0,2,4,0,2,3,3,3,2,0,0,9,6,1,3,5,4,0,3,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,2,5,3,8,0,5,0,4,4,0,5,1,1,8,3,5,1,3,0,0,3,1,3,6,2,1,1,0,1,8,7,2,0,2,7,1,0,4,0,4,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,2,2,4,0,2,0,7,0,2,7,6,1,2,5,2,2,3,0,0,3,2,3,1,1,6,2,1,6,3,5,1,4,6,3,4,4,0,1,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,0,4,8,1,0,2,2,5,2,3,4,3,0,0,3,2,2,2,2,3,4,0,2,7,8,0,1,5,4,1,2,4,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,3,5,2,4,2,2,2,2,5,3,6,0,4,3,2,0,0,0,4,3,3,2,3,2,0,3,9,0,3,0,6,9,0,0,7,2,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,1,5,5,1,3,4,5,1,1,4,5,2,0,0,3,0,5,0,1,4,4,1,7,2,6,1,3,6,3,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,"No" +29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,1,3,6,1,3,1,4,5,1,3,5,2,0,0,3,3,3,1,1,3,4,2,6,3,5,1,4,7,2,4,4,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,1,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,2,1,0,1,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" +7,2,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,4,5,0,5,2,2,2,0,7,8,1,0,1,8,1,0,1,0,4,0,5,1,1,8,1,0,9,0,7,0,2,5,4,1,8,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,9,0,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,0,1,5,0,3,0,9,5,2,3,2,7,4,2,3,0,0,2,3,2,0,0,0,6,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,5,0,4,4,3,3,0,3,6,0,0,3,3,0,4,0,3,3,4,0,9,0,6,0,3,9,0,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,5,1,4,6,1,2,2,4,4,2,3,4,2,0,2,2,3,2,2,1,3,3,1,3,6,6,2,2,5,4,3,2,4,2,1,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,5,7,0,4,0,5,9,0,0,0,8,1,0,0,9,0,0,0,0,5,4,0,0,0,8,1,9,0,5,0,4,9,0,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,6,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,0,3,4,9,0,0,0,0,9,0,0,9,5,0,0,3,1,1,0,0,4,5,0,0,9,5,4,0,4,5,7,0,0,2,0,3,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,2,3,5,1,0,3,4,4,1,0,0,9,9,0,0,0,0,0,9,0,0,4,5,0,0,0,0,9,7,0,2,7,2,2,3,4,2,1,5,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,3,0,0,0,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,2,2,3,5,0,2,5,2,3,3,4,3,4,3,2,4,0,0,3,0,2,4,3,0,2,0,9,0,3,0,6,9,0,2,3,4,2,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,2,5,0,3,5,0,4,2,2,5,0,5,4,1,0,1,2,3,3,0,1,4,3,2,3,6,5,2,3,9,0,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,6,7,1,1,1,2,7,1,2,6,0,0,0,2,5,2,0,1,2,6,2,8,1,4,2,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,3,4,2,1,6,0,3,4,4,2,0,8,1,3,0,0,4,0,2,2,3,3,3,1,7,2,6,0,3,4,5,5,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,5,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,2,4,0,4,9,0,0,0,6,3,0,5,4,4,0,2,2,0,2,3,3,4,0,0,0,9,7,2,0,2,7,0,0,4,5,0,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,2,5,3,0,6,0,3,3,2,4,0,2,7,0,0,7,2,0,0,1,0,4,2,4,0,9,5,2,3,4,5,6,3,0,0,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,5,0,4,7,0,2,2,4,4,1,6,3,5,0,0,3,1,1,3,3,2,3,0,2,7,5,4,0,5,4,0,3,4,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,4,3,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,6,7,0,6,0,3,2,0,7,7,2,1,1,2,7,2,2,2,1,2,2,1,1,4,2,3,7,2,3,0,6,6,3,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,4,6,1,5,2,3,5,1,4,3,6,0,6,0,3,4,2,0,2,1,1,6,0,0,3,0,6,3,5,1,3,5,4,3,2,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,2,1,5,2,3,3,3,2,5,0,4,5,4,0,2,3,5,0,0,0,6,0,3,2,0,3,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,4,1,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,1,1,2,4,1,3,0,5,1,1,8,8,1,1,6,3,1,3,0,0,4,2,0,1,3,3,3,1,6,3,3,0,6,3,6,6,1,3,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,2,7,0,0,7,0,2,2,4,4,4,1,5,4,0,0,1,3,2,4,0,2,4,0,2,7,5,3,2,5,4,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,3,9,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,1,0,0,6,0,0,0,0,0,0,3,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,7,0,2,2,0,7,7,2,0,0,0,9,0,0,0,5,0,4,0,0,0,7,2,6,3,4,0,5,6,3,9,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,4,3,7,0,7,0,2,4,1,4,4,2,4,0,2,7,1,0,1,3,3,3,1,1,2,5,2,5,4,5,2,3,8,1,6,1,3,1,0,3,1,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,2,2,0,5,7,0,2,3,6,1,4,4,1,3,1,0,3,1,1,4,3,0,1,2,3,6,9,0,0,4,5,5,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,2,0,6,0,0,0,0,0,0,0,0,0,0,4,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,6,1,3,0,2,7,4,4,2,3,1,0,5,2,1,2,2,3,2,1,1,8,8,0,1,6,3,1,3,4,3,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,1,1,4,2,2,1,6,1,2,7,7,2,0,5,4,0,2,0,0,7,0,1,3,4,3,1,0,9,0,5,0,4,4,5,4,4,1,2,0,3,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,4,5,0,5,3,2,4,1,4,4,5,1,2,4,3,1,1,0,5,2,1,1,2,3,3,1,9,0,5,0,4,5,4,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,2,2,6,6,0,3,3,3,4,0,4,5,1,0,0,3,5,2,1,2,0,7,1,8,1,5,0,4,9,0,0,0,9,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +40,1,3,3,10,0,8,0,1,7,0,2,2,3,5,0,6,3,2,0,3,4,0,0,3,2,5,0,0,2,7,3,6,0,3,6,0,2,6,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,2,2,5,0,0,2,7,2,0,7,7,0,2,5,3,2,5,2,0,2,1,1,7,0,1,2,1,9,0,6,2,2,6,3,3,1,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,6,0,3,2,5,3,3,4,3,3,0,2,3,2,0,2,0,5,1,2,6,3,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,7,6,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,0,8,0,1,6,0,3,3,2,4,1,3,5,1,0,3,1,5,0,1,0,3,4,2,3,6,6,2,2,5,4,5,0,5,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,4,1,4,3,1,3,5,2,3,9,0,0,0,0,9,2,0,1,3,3,2,0,0,4,5,0,0,9,7,2,0,4,5,3,0,3,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,0,4,7,0,2,1,2,6,3,4,2,2,0,1,6,1,1,3,3,3,1,2,2,7,6,3,0,4,5,2,2,3,3,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,4,2,0,5,1,3,6,1,2,2,3,5,4,4,2,3,2,0,3,2,0,5,2,1,3,1,2,7,6,2,2,3,6,1,2,4,2,2,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,4,0,4,7,2,0,0,0,9,0,4,5,3,0,0,2,2,2,1,2,1,5,0,5,4,8,1,0,6,3,1,2,3,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,4,4,2,1,4,0,5,4,3,3,1,6,2,2,3,0,6,0,0,1,2,5,2,0,7,2,5,1,4,6,3,4,3,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +28,1,2,5,6,1,7,1,1,6,1,3,3,5,1,2,4,4,2,2,3,2,1,1,2,1,4,3,1,3,6,5,0,4,5,4,1,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,4,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,5,6,1,4,3,2,5,0,4,4,4,2,3,3,3,2,2,2,4,1,1,2,2,5,1,0,6,3,7,1,2,6,3,2,4,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,1,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,3,9,0,1,3,6,9,0,0,0,2,7,0,4,5,0,0,0,2,2,5,0,0,3,6,0,3,6,8,1,0,9,0,0,9,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,3,5,2,1,5,2,5,1,4,3,4,3,2,5,3,2,0,0,6,1,1,2,2,3,2,2,8,1,3,2,5,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,6,1,2,7,1,2,1,7,1,1,4,5,0,0,4,1,0,4,4,0,1,5,0,5,4,4,2,3,7,2,0,2,3,4,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,5,7,2,5,2,1,3,0,6,6,2,2,0,2,7,2,0,1,2,1,5,0,2,3,5,1,2,7,6,0,3,9,0,3,6,1,0,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,6,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +10,1,2,3,3,2,1,0,6,6,0,3,2,4,4,2,4,3,4,0,0,4,1,2,3,2,2,3,0,6,4,5,0,4,5,4,2,5,2,2,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,9,0,0,7,0,2,2,3,5,5,2,3,3,0,0,3,2,1,2,3,3,2,0,0,9,9,0,0,3,6,2,0,4,4,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,2,8,2,3,1,4,5,1,3,4,4,2,0,7,2,0,0,0,9,0,0,0,6,0,3,0,5,4,6,1,3,5,4,2,2,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,6,0,4,6,0,4,1,4,5,2,4,3,2,0,2,4,2,1,3,2,3,3,1,7,2,7,2,0,6,3,1,2,4,1,1,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,5,3,3,0,6,0,3,6,0,3,0,1,8,5,4,1,0,2,0,6,0,2,3,2,2,2,0,8,1,5,2,3,6,3,1,1,4,4,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,2,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +23,1,1,2,5,4,1,1,5,0,5,4,5,4,0,2,5,2,1,0,0,2,7,1,1,2,1,7,1,8,1,4,0,5,8,1,4,3,2,2,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,4,3,2,1,2,2,5,8,1,1,1,1,8,5,4,1,5,0,0,4,1,0,5,3,2,1,0,2,7,8,1,0,2,7,1,1,5,3,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,2,0,0,7,0,0,0,2,3,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,5,1,4,8,0,1,1,4,4,3,3,4,2,1,2,3,2,1,2,2,3,3,1,4,5,6,2,1,6,3,1,3,5,1,1,6,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,3,5,2,0,9,0,0,0,4,5,4,5,0,0,0,0,4,0,5,0,9,0,0,0,4,5,5,3,2,6,3,0,0,4,0,5,0,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,3,4,3,3,0,4,0,5,9,0,0,0,0,9,6,3,0,9,0,0,0,0,0,5,0,3,2,0,9,0,0,5,4,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,5,1,4,4,4,2,2,3,4,2,3,4,2,0,0,3,3,2,2,2,2,5,1,7,2,7,0,2,9,0,2,2,5,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,5,7,0,5,0,4,5,0,4,4,4,2,0,2,7,0,0,0,3,6,0,0,0,3,5,2,9,0,5,0,4,9,0,6,2,2,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,2,4,5,2,2,2,3,4,3,4,2,4,0,0,3,1,2,3,2,1,4,0,5,4,9,0,0,7,2,1,5,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,4,0,0,5,6,0,3,2,4,4,1,5,3,3,0,0,6,0,0,2,3,3,3,0,0,9,6,3,0,5,4,0,0,5,2,3,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,2,5,1,2,5,1,3,1,4,5,0,7,2,4,0,3,1,3,0,3,2,4,2,0,9,0,5,1,3,7,2,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,2,3,2,3,5,2,3,3,3,4,0,3,6,0,0,0,3,3,3,0,1,3,5,1,9,0,4,1,5,8,1,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,1,1,6,6,2,2,1,5,4,2,5,3,4,1,0,4,2,1,3,2,2,3,1,8,1,6,1,3,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,0,0,"Yes" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,2,0,3,5,0,4,2,4,4,2,5,2,2,0,0,5,0,3,2,4,3,2,0,4,5,5,1,3,5,4,0,4,4,1,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,0,4,0,5,5,2,2,2,4,4,2,2,5,0,4,0,0,5,0,0,0,5,4,0,4,5,6,2,2,6,3,3,4,2,1,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,4,6,6,0,0,0,6,4,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,1,0,0,0,3,2,0,0,0,0,1,1,0,0,0,0,0,"No" +39,1,2,4,9,3,4,0,3,5,2,3,2,5,3,3,3,4,2,0,0,4,2,3,0,3,3,2,2,1,8,6,0,3,6,3,6,3,0,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,3,3,1,4,9,0,0,0,5,4,6,3,0,7,1,0,2,0,0,7,2,0,0,0,0,9,2,7,0,0,9,0,0,3,3,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,4,2,8,0,4,0,5,8,0,1,1,0,8,3,4,2,0,0,0,3,5,1,0,3,1,5,1,2,7,7,1,1,6,3,2,4,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,6,1,3,5,2,3,2,4,4,2,4,4,2,0,2,2,3,2,2,2,2,4,1,5,4,7,1,2,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,2,7,2,6,0,2,2,0,7,3,3,4,1,4,4,2,0,1,2,3,3,1,2,2,4,1,4,5,6,0,3,7,2,4,3,3,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,3,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,6,0,7,7,0,0,3,0,6,0,0,0,0,0,6,0,0,0,0,0,0,1,0,1,4,0,0,2,0,6,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,0,3,9,0,0,0,0,9,0,3,6,0,0,3,0,5,2,0,0,2,7,0,3,6,6,3,0,9,0,3,6,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,2,0,6,0,0,0,1,0,0,0,3,0,0,0,3,0,0,0,2,0,1,1,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,4,1,4,6,1,3,3,3,4,2,4,4,2,1,1,3,3,3,1,2,2,4,2,5,4,6,1,3,6,3,3,3,2,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,3,1,2,5,5,2,3,6,0,3,0,9,0,0,0,0,0,6,3,0,0,3,6,0,9,0,3,0,6,8,1,0,3,0,6,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,4,3,3,4,4,0,2,8,1,1,1,1,8,1,4,4,2,0,0,5,1,2,2,2,2,4,0,6,3,9,0,0,4,5,3,1,6,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +35,1,3,2,8,7,0,0,2,6,3,0,0,4,5,2,2,6,3,0,0,1,5,0,1,2,0,6,0,3,6,5,0,4,6,3,5,0,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,1,2,5,6,2,1,4,3,3,0,5,4,2,0,0,4,3,2,3,3,0,3,0,0,9,6,1,3,5,4,5,4,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,4,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,2,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,3,4,2,4,1,0,5,8,0,1,1,5,4,7,2,0,7,1,0,2,0,0,7,1,2,0,0,0,9,7,2,0,2,7,0,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,7,1,2,4,5,0,0,0,9,3,1,1,2,3,2,0,0,9,0,0,4,5,7,1,2,5,4,3,6,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,5,2,2,5,0,4,2,5,3,3,5,2,2,0,1,4,1,3,3,3,2,3,0,2,7,7,0,2,4,5,2,2,3,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,2,2,7,0,2,2,4,4,0,3,6,1,0,0,3,3,3,1,1,4,4,2,0,9,7,1,2,7,2,0,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,2,3,2,3,3,2,4,4,3,3,5,2,3,4,0,0,3,1,2,4,1,2,3,0,6,3,4,0,5,7,2,4,2,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,6,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,4,0,0,5,5,3,2,4,3,2,3,6,0,7,0,0,0,0,2,6,0,3,0,0,7,2,7,2,0,5,4,0,0,9,0,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,2,2,0,5,9,0,0,0,0,9,2,7,0,2,0,0,7,0,0,2,2,6,0,0,0,9,5,4,0,0,9,0,4,4,2,0,5,8,1,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,2,3,2,0,3,0,6,6,3,0,2,5,4,4,4,2,5,0,0,2,2,0,4,3,2,2,0,6,3,5,3,2,3,6,2,1,4,0,3,7,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,2,2,6,6,2,2,2,3,5,0,3,6,0,0,0,3,0,6,1,2,2,5,1,9,0,5,1,3,8,1,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,5,0,0,0,0,0,0,0,7,0,2,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,4,0,1,0,1,0,0,0,0,1,"No" +33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +23,5,1,3,5,4,1,0,5,1,2,6,6,3,1,1,6,3,1,0,0,8,0,1,0,4,2,3,0,8,1,3,1,6,8,1,5,2,2,1,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,9,0,0,1,6,3,0,6,3,3,0,0,5,0,2,2,1,5,2,1,1,8,7,2,0,7,2,1,6,1,0,2,5,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,0,4,0,5,9,0,0,0,4,5,4,1,5,1,0,0,4,3,3,1,3,0,5,0,9,0,9,0,0,6,3,0,4,4,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,3,2,3,6,3,2,4,3,3,0,6,5,2,3,1,6,2,3,0,0,3,1,4,2,1,3,4,0,5,4,3,0,6,7,2,3,2,3,2,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,4,1,0,5,6,3,0,0,4,5,3,3,4,3,0,0,0,0,6,3,0,3,3,0,0,9,6,3,0,2,7,0,0,5,0,4,9,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,2,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,3,0,0,6,9,0,0,0,6,3,2,4,4,2,0,0,3,3,2,2,2,3,4,0,2,7,6,0,3,4,5,0,2,4,4,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,0,7,0,2,9,0,0,0,3,6,2,5,2,0,0,2,5,2,0,4,4,0,2,0,4,5,4,5,0,5,4,2,5,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,1,8,4,3,1,3,5,2,3,0,9,0,0,6,3,0,0,0,9,0,0,0,4,0,0,5,5,5,7,2,0,4,5,0,0,6,3,0,7,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,2,1,6,3,2,4,4,4,2,2,5,2,2,0,0,5,1,2,1,2,4,2,2,8,1,7,1,2,6,3,4,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,4,5,0,4,3,4,3,0,0,9,0,0,0,0,5,4,0,0,0,7,2,6,3,6,1,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,2,0,5,2,5,0,5,0,3,6,0,5,4,0,0,0,5,4,0,0,5,0,4,0,3,6,6,3,0,5,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,1,1,1,3,0,2,5,5,1,3,5,4,0,5,5,0,0,0,0,2,0,7,0,2,7,0,0,9,0,2,2,6,9,0,7,0,0,2,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,4,0,0,5,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,2,1,1,4,1,3,0,5,0,1,8,8,1,0,5,4,0,2,0,0,5,0,2,1,2,5,2,0,9,0,2,0,7,6,3,8,1,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,5,1,3,8,0,1,1,4,5,7,2,0,3,1,0,6,0,1,5,4,1,0,0,0,9,6,2,2,2,7,1,1,6,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,0,5,0,4,4,0,5,4,3,3,2,2,6,5,0,0,4,0,0,2,0,2,0,6,4,5,5,2,4,5,4,3,3,0,3,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,5,0,4,5,2,3,2,2,5,0,8,1,0,0,0,7,1,2,0,3,6,1,0,0,9,7,2,0,7,2,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +2,1,3,3,1,2,4,2,2,9,0,0,0,4,5,5,4,1,5,4,0,1,0,1,8,1,0,1,0,0,9,3,6,0,1,8,1,3,4,2,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,4,1,0,7,1,1,7,0,2,1,4,4,0,5,4,3,0,2,4,0,1,0,3,3,2,2,2,7,6,1,2,3,6,4,1,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,1,0,3,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,2,0,1,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,6,0,0,0,2,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,1,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +26,1,1,5,6,1,4,1,4,3,0,6,6,3,1,1,6,3,2,0,0,3,3,3,1,2,3,4,1,8,1,5,1,4,5,4,3,3,3,1,1,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" +7,1,3,3,2,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,2,7,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,2,2,4,9,0,0,0,2,7,2,7,0,2,0,0,7,0,0,3,6,0,0,0,0,9,7,2,0,6,3,0,0,5,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,4,4,3,3,3,4,3,0,2,7,0,0,0,0,3,6,0,0,2,5,2,9,0,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,3,3,2,3,5,1,4,4,2,3,1,3,6,0,0,0,1,5,4,1,1,1,6,3,8,1,4,0,5,9,0,5,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,5,0,4,6,0,3,4,3,2,1,5,4,1,0,1,1,3,4,1,1,6,3,1,0,9,6,3,0,4,5,0,2,7,1,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,1,2,6,2,1,0,0,4,3,2,1,3,2,4,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,2,2,3,5,1,1,0,8,8,0,1,2,4,4,2,5,3,2,1,0,6,1,2,1,2,2,5,1,1,8,7,2,0,4,5,2,7,1,0,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,3,3,0,4,6,0,4,2,3,4,2,5,2,1,0,0,5,1,3,1,3,3,2,2,4,5,5,2,2,7,2,0,5,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,5,2,2,9,0,0,1,6,3,4,5,1,7,0,0,2,0,0,4,4,1,2,0,0,9,6,3,0,5,4,0,2,7,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,3,7,3,2,1,4,6,1,3,0,9,0,0,5,5,9,0,0,0,0,0,0,4,5,0,0,0,9,5,1,3,5,4,3,3,3,2,1,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,0,4,9,0,0,0,2,7,3,4,2,6,0,1,0,2,0,6,1,0,2,1,4,5,7,2,0,7,2,1,1,8,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,2,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,1,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,6,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,5,0,4,7,0,2,2,2,6,3,5,1,6,0,0,3,0,1,4,1,5,0,0,0,9,7,2,0,2,7,2,1,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +10,1,3,3,3,0,6,1,2,7,1,1,0,3,6,3,4,3,0,0,0,3,3,3,3,0,2,5,0,4,5,8,1,1,4,5,0,2,5,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,3,5,3,2,0,5,3,2,5,5,3,1,2,7,1,3,0,0,4,0,2,1,3,3,3,1,1,8,4,0,5,6,3,2,2,7,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,3,6,1,1,5,0,4,2,1,7,1,5,4,1,0,0,3,1,5,1,1,5,4,1,9,0,8,1,1,8,1,3,5,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,2,1,7,1,1,7,5,4,1,3,3,3,1,0,0,4,3,3,1,2,4,2,2,8,1,2,0,7,7,2,6,3,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,4,6,0,0,0,0,5,0,0,5,0,2,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,1,0,1,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,6,0,2,4,0,5,0,0,9,5,2,2,3,0,0,3,3,0,0,3,3,4,0,5,4,7,0,2,2,7,2,0,4,4,0,7,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,2,3,7,0,5,0,4,7,2,0,0,6,3,0,0,9,0,0,0,2,2,5,0,0,0,6,3,4,5,8,0,1,8,1,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,6,0,3,3,4,3,0,0,9,2,1,2,3,3,1,0,0,0,4,5,2,7,7,1,2,6,3,2,4,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,4,1,0,4,4,2,4,3,3,3,1,6,3,3,1,0,4,1,2,1,2,2,4,1,3,6,2,2,5,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,0,3,3,1,5,3,2,5,0,4,6,2,0,0,2,3,4,2,0,2,5,2,2,7,6,1,2,6,3,3,6,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,1,5,2,3,5,1,3,0,5,4,0,3,6,0,0,4,4,0,1,0,3,5,1,1,2,7,6,1,3,7,2,1,8,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,9,0,0,0,4,5,1,3,6,1,0,2,0,6,0,2,1,0,5,3,4,5,8,1,0,5,4,2,2,6,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,3,4,2,9,0,0,0,1,8,1,7,1,2,0,0,4,0,4,2,3,5,1,0,0,9,5,4,0,2,7,0,1,4,4,1,6,8,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,1,2,0,6,4,1,4,4,3,2,4,2,3,1,1,0,6,1,1,2,2,2,4,1,4,5,4,2,4,5,4,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,2,2,3,2,3,1,5,4,0,5,4,3,3,2,5,3,1,0,0,4,1,4,1,3,3,3,1,5,4,7,0,2,6,3,4,3,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,0,0,3,6,6,2,1,1,4,4,1,5,4,2,0,0,3,2,4,2,1,4,3,2,8,1,7,0,2,7,2,3,2,3,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +32,1,3,4,7,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,1,4,7,0,5,1,3,6,1,3,5,4,1,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,6,1,2,6,3,3,6,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,8,0,1,1,6,3,2,5,2,2,0,1,5,0,2,1,5,2,2,0,0,9,7,1,2,5,4,0,3,3,4,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,4,2,3,6,0,3,0,5,5,0,5,5,2,0,0,4,1,3,9,0,0,0,0,5,5,4,0,5,8,1,5,3,2,0,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,3,1,2,4,0,4,9,0,0,1,5,4,6,3,0,7,0,1,2,0,0,7,1,2,0,0,2,7,7,2,0,0,9,0,2,3,3,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,3,2,5,0,0,9,0,0,2,0,3,5,0,4,0,5,0,5,4,3,2,4,7,2,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +6,1,2,4,2,1,3,1,5,6,1,3,2,7,0,2,0,7,2,1,1,3,2,3,2,2,2,3,2,9,0,6,2,2,6,3,5,0,4,0,0,4,8,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,2,5,1,2,4,1,4,2,5,3,2,3,5,3,2,1,2,1,3,2,1,2,2,3,3,6,6,1,2,6,3,3,3,4,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,0,0,9,0,0,6,0,3,0,0,0,6,3,0,0,9,7,2,0,7,2,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,7,1,1,7,0,2,3,2,5,0,5,4,1,0,2,3,2,2,2,3,0,3,3,4,5,5,2,2,4,5,3,4,0,0,3,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,2,1,6,0,1,3,2,2,6,6,2,1,6,3,1,3,2,0,3,1,2,3,2,3,2,1,6,3,3,1,5,3,6,6,1,1,1,1,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,8,0,1,8,0,1,1,1,7,0,7,2,4,0,2,1,0,3,3,1,5,1,0,0,9,3,3,3,2,7,4,2,4,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,4,2,3,5,0,4,4,4,2,0,2,7,0,0,0,4,0,5,0,1,1,3,5,9,0,7,0,2,9,0,8,1,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,2,2,0,6,6,3,0,1,7,2,0,1,8,0,0,0,0,8,1,0,0,0,8,1,9,0,9,0,0,9,0,3,4,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,0,7,5,2,2,0,5,4,0,0,9,0,0,0,0,2,7,0,0,0,6,3,9,0,5,0,4,7,2,4,5,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,7,0,0,0,2,0,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,5,1,4,5,1,3,0,4,5,2,1,1,4,1,3,2,2,1,4,2,1,8,5,1,4,7,2,2,6,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,4,7,1,2,3,4,3,2,4,5,3,0,0,3,4,0,2,1,1,5,0,5,4,7,1,1,8,1,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +19,1,2,5,4,0,4,2,3,5,1,4,4,4,2,1,2,6,2,1,1,2,3,3,1,1,1,6,1,6,3,6,1,3,6,3,6,2,2,1,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,6,1,3,2,3,5,1,3,6,1,0,1,2,4,2,1,1,2,5,1,5,4,5,2,3,7,2,4,2,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,2,5,0,2,5,0,4,3,4,2,3,6,0,9,0,0,0,0,0,3,0,2,5,0,7,2,7,0,2,2,7,0,4,2,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,1,1,7,1,2,2,3,5,1,3,5,2,1,0,4,3,1,2,2,1,5,1,3,6,6,2,2,5,4,3,3,3,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,2,3,5,2,3,2,5,4,2,5,3,2,1,1,4,3,2,2,2,3,2,1,1,8,6,2,2,6,3,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,7,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,2,4,0,4,9,0,0,0,0,9,5,4,0,5,0,0,4,0,0,5,2,3,0,0,0,9,5,4,0,2,7,0,5,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,6,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,2,3,0,5,2,3,4,1,4,4,4,1,5,0,0,0,5,0,5,0,3,1,1,5,9,0,5,0,4,9,0,5,3,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +41,1,1,2,10,1,4,1,4,7,1,2,5,4,0,0,5,4,0,0,0,4,0,5,0,0,5,4,0,0,9,6,2,1,5,4,5,0,0,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,1,3,1,5,5,1,4,3,4,3,1,3,6,2,0,0,2,2,4,1,2,2,4,2,4,5,4,1,4,7,2,4,3,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,5,0,4,5,1,4,4,2,3,0,3,6,0,0,2,2,3,4,0,1,4,2,3,3,6,5,0,4,9,0,6,2,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,7,1,1,0,4,5,9,0,0,5,0,0,0,0,4,3,6,0,0,0,9,0,6,2,2,8,1,0,4,5,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,1,6,0,3,6,1,2,0,0,9,1,6,3,3,0,0,0,4,3,1,0,6,3,0,9,0,6,3,1,5,4,4,3,2,2,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,7,1,2,8,0,1,1,4,5,0,5,4,2,0,0,5,2,2,2,2,2,4,1,0,9,6,2,2,5,4,0,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,6,0,3,3,2,5,0,4,5,4,0,5,4,1,2,2,2,0,4,0,0,3,3,0,9,7,1,2,6,3,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,1,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,1,0,4,5,1,4,5,7,2,1,9,0,1,7,2,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,6,2,2,9,0,0,1,8,1,7,2,1,5,4,0,0,1,0,7,1,1,0,1,1,8,6,3,0,0,9,1,0,5,4,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,4,1,3,6,0,3,3,4,3,3,6,1,6,3,0,1,1,0,5,1,3,1,0,1,8,5,3,1,3,6,1,0,3,4,2,8,6,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,1,2,2,4,0,1,0,8,4,1,5,5,3,2,6,3,0,5,1,0,3,1,0,3,2,3,2,0,4,5,4,0,5,2,7,3,2,3,2,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +1,1,2,4,1,1,4,2,3,7,1,1,0,6,3,4,5,0,8,0,0,0,0,1,6,3,0,0,0,0,9,6,3,0,3,6,0,0,1,8,0,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,2,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,2,1,3,3,3,2,7,0,2,0,0,9,3,6,0,3,0,0,3,0,3,2,0,5,2,0,0,9,6,3,0,3,6,3,4,0,3,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +40,1,2,4,10,2,7,0,0,6,0,3,3,3,4,2,3,4,2,1,6,1,0,0,2,2,6,0,0,0,9,6,3,0,5,4,6,1,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" +26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,3,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,5,1,2,7,1,1,2,4,4,3,4,3,2,1,1,3,2,1,3,2,2,2,2,5,4,0,5,4,4,5,3,3,3,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,3,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,7,0,2,9,0,0,2,5,3,0,4,5,0,0,0,4,1,5,0,0,5,4,1,9,0,7,0,2,5,4,4,4,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +39,1,2,3,9,1,4,0,4,9,0,0,0,5,4,2,4,3,3,1,1,3,1,2,3,2,1,3,2,1,8,5,4,0,6,3,3,4,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,7,0,0,2,9,0,0,0,7,2,3,4,2,5,0,0,0,0,4,3,2,3,0,2,2,7,7,1,2,4,5,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,4,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,0,5,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,2,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,6,1,3,8,0,1,0,3,6,3,5,2,1,1,0,5,1,2,1,3,4,2,0,3,6,8,1,0,3,6,2,4,3,2,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,6,0,2,7,2,0,0,5,4,0,5,4,0,0,2,3,4,1,0,0,5,4,0,9,0,7,2,0,5,4,3,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,6,0,3,6,0,3,0,4,5,2,4,4,0,0,0,2,5,3,0,2,3,5,0,3,6,9,0,0,9,0,4,5,0,0,0,3,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,1,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,0,0,4,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,0,5,1,4,6,2,2,2,4,3,1,5,4,2,0,0,3,2,4,1,3,3,3,1,4,5,5,2,3,5,4,5,2,2,0,0,3,7,0,0,0,7,7,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,7,1,0,7,0,2,4,1,4,1,5,4,1,0,0,4,5,1,1,3,1,5,1,5,4,4,0,5,8,1,1,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,6,0,3,3,0,6,5,2,2,0,3,6,0,0,2,2,0,5,0,2,2,1,5,7,2,9,0,0,0,9,5,2,2,1,0,3,2,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,0,5,9,0,0,0,9,0,0,9,0,0,5,0,0,0,5,5,0,0,4,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,3,0,6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,5,0,3,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,0,0,0,0,0,4,3,0,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,2,1,7,1,1,1,1,7,9,0,5,0,4,9,0,4,5,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,3,3,2,1,5,1,3,3,3,4,1,5,4,1,1,1,4,3,1,2,1,3,4,1,6,3,5,2,3,7,2,4,4,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,3,2,2,5,0,2,8,0,1,1,1,8,8,1,0,7,0,0,2,0,0,8,1,0,0,0,0,9,8,1,0,1,8,0,0,4,2,3,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,2,2,3,2,3,2,3,9,0,0,1,6,3,5,4,0,0,0,0,0,8,1,7,0,1,2,0,0,9,7,0,2,5,4,0,0,1,2,7,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,3,2,3,5,2,3,2,4,4,1,5,5,2,3,3,3,4,4,0,0,3,2,1,3,1,2,3,2,9,0,2,0,7,6,3,5,3,2,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +7,2,3,2,2,0,3,0,6,6,2,2,0,4,5,4,3,2,3,2,0,5,0,0,4,3,0,3,0,0,9,5,1,3,4,5,0,5,4,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,2,2,0,6,8,1,1,0,3,6,1,7,1,1,1,0,7,1,1,1,6,1,1,0,5,4,8,1,1,8,1,1,4,4,1,1,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,3,4,1,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,6,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,2,2,2,4,1,1,1,7,3,2,5,5,3,1,4,4,3,3,1,1,4,1,2,3,3,1,3,1,7,2,3,1,6,5,4,4,2,2,2,2,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,7,5,0,4,2,4,4,2,5,3,1,0,0,3,3,2,1,3,4,2,0,9,0,9,0,0,5,4,2,4,3,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +18,1,1,3,4,1,2,1,7,2,1,6,7,1,1,3,3,3,2,0,0,3,1,4,1,2,4,4,1,9,0,4,0,5,8,1,7,1,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,9,0,0,9,0,0,0,3,6,0,2,7,0,0,4,3,3,0,0,0,5,4,0,0,9,6,3,0,4,5,3,4,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,2,2,2,1,7,7,2,0,0,0,9,0,0,1,2,5,2,0,0,1,6,3,9,0,1,0,8,8,1,8,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,1,2,2,5,2,0,7,6,3,1,1,3,6,1,1,0,4,2,4,1,1,2,4,3,8,1,2,1,7,8,1,8,1,0,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,3,7,0,6,0,3,4,1,4,4,3,2,4,2,4,2,0,0,2,2,4,2,2,3,3,1,6,3,0,0,9,2,7,7,1,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,9,0,0,0,5,4,0,1,8,0,0,0,1,4,4,0,1,0,4,5,1,8,4,1,4,9,0,5,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,0,7,4,4,2,0,7,2,0,5,4,0,0,0,4,4,2,0,3,3,4,0,9,0,4,0,5,7,2,5,4,0,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +11,1,3,4,3,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,2,0,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +8,2,4,2,2,2,4,1,3,9,0,0,0,2,7,2,5,3,1,0,0,5,2,2,1,4,2,2,1,3,6,8,0,1,7,2,2,3,4,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,5,0,4,5,0,4,5,4,0,1,3,6,2,0,2,2,2,3,2,1,3,3,2,9,0,5,0,4,9,0,3,6,1,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,3,2,2,3,5,1,3,3,2,4,1,5,4,2,1,1,2,3,2,2,2,2,4,2,3,6,6,0,3,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,3,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,0,2,9,0,0,0,4,5,0,4,5,0,0,3,0,6,0,0,0,3,6,0,0,9,7,2,0,5,4,0,0,9,0,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,3,2,4,2,0,4,9,0,0,0,5,5,3,4,3,4,0,0,3,0,3,4,3,0,3,0,9,0,9,0,0,5,4,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,0,0,0,0,0,3,0,0,0,2,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,3,2,0,5,2,2,6,3,6,1,0,7,2,0,0,0,5,2,2,2,3,2,3,0,4,5,3,0,6,7,2,0,2,5,0,2,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,5,0,4,6,0,3,2,4,4,3,3,3,4,0,0,5,0,0,1,3,2,5,0,4,5,7,0,2,2,7,3,3,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,3,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,6,1,1,4,4,0,0,2,3,2,4,1,1,3,4,2,1,8,5,2,2,6,3,2,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,5,1,0,4,0,5,5,2,3,4,4,2,3,6,0,3,0,0,5,0,1,3,2,5,1,0,2,7,7,0,2,3,6,0,3,5,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,3,6,0,0,0,0,6,2,0,0,0,0,0,6,0,0,0,0,0,1,0,1,1,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +3,1,2,3,1,0,4,1,4,6,0,3,3,3,3,1,2,6,2,0,0,3,4,1,1,2,2,5,2,5,4,6,3,0,0,9,4,0,4,1,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,6,0,3,8,0,1,1,1,8,2,6,2,2,0,0,6,1,2,1,6,1,2,0,9,0,4,3,2,5,4,1,3,3,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,2,2,1,5,0,0,0,9,0,0,9,5,3,2,0,7,2,0,0,3,0,0,6,0,2,5,3,0,9,0,2,0,7,7,2,6,2,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,2,2,7,4,1,4,3,4,3,0,7,2,0,0,0,3,0,6,0,3,3,4,0,0,9,4,0,5,8,1,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,1,4,1,4,4,2,4,4,4,1,3,5,2,4,2,2,1,1,2,5,1,3,1,1,5,4,2,1,7,4,5,4,3,2,2,1,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,6,1,2,7,1,2,1,3,5,2,4,4,2,1,1,4,2,2,2,2,3,4,0,4,5,7,1,1,5,4,2,3,3,2,0,4,8,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,5,2,3,7,0,2,2,3,5,0,5,4,5,0,3,0,0,2,3,1,4,2,0,3,6,4,5,0,4,5,3,3,0,4,0,6,4,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,3,2,5,6,1,3,3,3,4,2,2,6,2,0,1,2,3,4,2,1,2,4,2,1,8,4,0,5,7,2,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,2,2,0,5,0,3,6,6,2,2,0,3,6,1,0,0,3,4,2,0,1,3,4,3,8,1,5,0,4,9,0,7,2,0,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,6,0,0,3,7,2,0,0,7,2,1,6,3,2,0,1,2,4,2,1,1,6,2,0,8,1,3,2,4,7,2,1,5,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,0,3,0,0,0,0,6,5,0,0,0,0,0,0,6,4,0,0,0,0,0,0,1,0,0,0,0,1,3,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,2,6,0,3,6,1,3,1,0,8,2,6,2,2,1,0,5,0,3,2,3,3,2,1,4,5,5,2,2,5,4,2,3,4,1,1,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,5,4,0,0,5,3,2,0,4,5,0,0,9,0,0,3,0,4,3,0,0,2,3,4,0,9,6,2,2,6,3,7,0,0,2,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,4,2,1,5,2,2,7,1,2,1,5,4,1,1,7,2,1,1,1,5,2,2,1,1,5,2,2,7,4,3,2,7,2,3,3,3,0,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,1,5,4,5,3,2,5,0,2,3,1,0,4,0,5,1,1,4,5,4,3,3,4,5,3,2,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,7,1,2,7,1,2,3,3,3,2,3,5,3,0,3,3,2,0,2,2,4,3,0,1,8,5,2,3,3,6,3,4,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +24,1,2,3,5,3,3,0,3,2,2,6,6,2,2,3,3,3,2,0,0,3,2,3,2,0,5,3,0,6,3,3,0,6,6,3,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +22,1,3,2,5,6,0,0,3,6,3,0,1,3,5,1,5,4,1,0,0,4,2,4,1,1,4,4,1,9,0,6,3,0,9,0,5,2,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,7,1,1,7,0,2,0,0,9,0,2,7,3,0,0,2,0,5,0,2,3,5,0,0,9,5,2,2,4,5,0,0,3,6,0,8,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,2,2,1,5,4,1,4,4,2,4,2,6,2,4,1,0,4,2,1,3,2,2,2,1,8,1,4,2,4,5,4,3,3,3,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,0,3,5,0,4,7,2,1,2,4,4,6,0,0,2,2,0,2,0,0,7,0,1,8,5,0,4,2,7,4,2,4,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,3,3,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,7,0,2,9,0,0,0,3,6,2,4,4,0,0,0,5,4,0,0,2,3,5,0,7,2,9,0,0,9,0,2,4,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,1,5,4,1,7,1,1,2,6,2,3,5,2,3,0,0,5,1,1,3,3,2,2,1,8,1,6,1,3,6,3,5,1,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,1,1,7,3,2,5,4,4,2,3,6,1,4,0,0,3,2,1,3,2,1,4,1,5,4,9,0,0,4,6,2,2,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +41,1,3,3,10,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,4,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +7,1,4,2,2,0,4,0,5,9,0,0,0,2,7,3,4,3,1,0,0,6,3,1,1,4,3,3,0,0,9,8,1,0,5,4,1,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,2,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +35,1,3,3,8,0,7,0,2,7,0,2,2,0,7,1,4,5,0,0,0,4,3,3,0,2,2,3,3,7,2,4,1,4,8,1,2,4,4,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,3,3,6,0,0,0,2,3,0,0,0,0,0,0,3,0,0,0,0,0,0,1,1,2,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,6,0,2,7,0,2,0,5,4,0,0,9,5,0,0,0,0,4,0,0,0,5,4,9,0,6,0,3,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,3,1,0,3,3,5,9,0,0,3,5,2,2,4,3,0,0,0,4,3,3,0,3,1,4,2,2,7,7,0,2,4,5,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Yes" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,3,2,6,0,3,4,2,3,0,4,5,3,0,0,2,2,4,3,0,1,4,1,5,4,6,1,2,9,0,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,6,5,0,4,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,1,1,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,3,3,6,0,4,1,4,6,1,3,2,5,3,2,3,5,2,0,1,3,2,3,1,2,3,3,2,3,6,4,0,5,7,2,3,3,2,2,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,6,2,3,6,0,3,0,6,3,2,3,5,1,0,0,4,1,4,1,2,3,4,0,2,7,7,0,2,6,3,1,3,4,3,0,5,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,7,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,6,1,2,7,1,2,0,0,9,5,4,0,3,0,0,3,0,4,3,2,5,0,0,0,9,5,2,2,7,2,0,3,5,3,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,4,4,3,2,4,3,1,1,2,3,2,1,3,2,4,1,1,8,6,2,2,6,3,3,5,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,2,3,3,1,2,4,0,3,9,0,0,1,3,6,6,2,1,4,4,1,1,1,0,8,1,1,1,0,0,9,9,0,0,3,6,1,0,4,5,0,8,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,2,2,0,6,6,3,0,0,0,9,0,0,9,0,0,0,0,4,5,0,0,0,9,0,9,0,9,0,0,9,0,0,9,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,3,2,0,5,3,1,6,0,5,4,4,5,0,1,0,0,3,2,4,0,0,5,4,0,9,0,5,0,4,7,2,0,4,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +18,1,1,2,4,3,2,0,5,2,0,7,6,2,1,5,4,1,0,0,0,5,3,1,2,1,3,4,1,5,4,4,0,5,6,3,4,3,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,5,0,4,6,0,3,2,3,4,2,4,4,2,0,2,3,2,3,2,1,5,2,1,0,9,6,3,0,4,5,0,4,4,2,1,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,2,3,4,8,3,3,1,3,9,0,0,2,4,3,2,5,2,3,1,0,2,2,3,2,1,4,3,0,3,6,9,0,0,5,4,3,4,3,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,3,4,0,3,9,0,0,3,3,3,2,5,2,5,3,0,2,0,0,4,2,0,3,0,5,4,9,0,0,0,9,2,0,6,2,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,2,2,3,5,2,1,2,6,1,2,2,5,3,2,4,3,2,0,0,2,3,3,2,2,2,4,1,5,4,3,4,2,7,2,1,2,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,2,1,0,2,2,6,5,2,3,3,3,4,2,5,3,2,0,0,4,1,3,2,2,3,1,3,3,6,6,0,3,7,2,5,1,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,1,6,2,2,7,1,2,5,3,2,0,5,4,0,0,0,0,9,0,0,0,0,6,3,5,4,7,1,2,7,2,3,4,0,3,0,4,2,2,0,0,6,0,6,0,0,0,0,0,4,0,0,0,2,0,0,1,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"Yes" +16,1,1,3,4,1,1,1,7,2,1,7,6,3,1,5,2,2,3,0,0,2,1,4,2,1,4,3,2,6,3,3,0,6,6,3,8,1,1,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,3,7,1,2,2,6,7,2,1,1,4,5,1,4,4,2,0,0,4,2,2,1,2,2,5,0,6,3,6,1,2,6,3,3,2,3,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,2,8,0,4,0,5,9,0,0,0,9,0,0,0,9,1,0,3,3,2,2,0,0,0,4,5,5,5,9,0,0,7,2,6,3,1,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,6,1,3,6,1,2,2,2,6,2,3,4,2,1,1,3,2,1,2,2,3,3,1,3,6,6,3,1,6,3,3,3,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,3,0,0,0,0,6,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,2,0,3,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,2,3,7,0,2,1,6,2,2,3,5,3,0,1,2,4,1,2,2,1,3,2,2,7,6,2,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,1,1,6,6,2,5,2,0,0,0,9,8,1,0,1,2,7,1,0,1,4,5,1,1,0,1,6,2,8,1,0,0,9,9,0,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,4,6,1,2,2,3,5,0,4,5,2,0,0,0,5,3,0,1,4,3,1,4,5,5,1,3,7,2,2,5,3,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,4,5,3,4,1,2,5,1,3,4,4,2,2,4,4,3,0,1,4,0,2,2,2,3,4,1,6,3,7,2,0,4,5,4,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +9,1,4,3,3,0,6,1,3,9,0,0,0,1,8,0,4,5,0,0,0,3,4,3,0,0,5,4,0,4,5,7,2,0,9,0,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,9,0,0,5,0,4,3,0,6,0,5,4,3,0,0,2,0,4,3,0,3,3,0,3,6,5,2,3,7,2,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,2,1,2,2,5,0,2,7,2,0,0,6,3,5,3,2,2,2,0,3,4,0,3,3,0,4,0,0,9,7,0,2,4,5,0,0,7,2,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,3,3,5,1,5,1,4,4,1,5,3,2,5,2,4,3,1,0,0,4,2,3,1,1,5,3,1,8,1,4,1,4,6,3,6,3,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,5,1,3,7,0,2,2,4,4,3,4,3,3,2,1,3,2,0,4,2,2,2,1,5,4,6,2,2,3,6,2,3,4,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,5,2,3,5,1,4,1,4,4,5,3,1,2,3,0,4,1,1,5,3,1,1,1,2,7,5,1,3,5,4,3,1,4,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,"Yes" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +3,1,2,5,1,2,5,1,2,4,1,5,3,5,1,2,5,3,6,1,0,2,1,1,4,2,4,1,1,3,6,7,2,1,5,4,2,3,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,2,5,2,2,1,6,5,2,3,3,2,5,2,4,3,2,1,1,4,2,2,2,2,3,3,1,4,5,7,1,2,4,5,2,3,3,2,1,5,4,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,2,4,4,4,2,2,2,6,3,0,3,0,0,4,3,0,3,4,0,2,7,6,3,0,2,7,4,0,6,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,4,1,5,6,1,3,3,3,3,0,3,6,0,0,0,4,2,4,0,2,2,5,2,9,0,6,0,3,7,2,5,4,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,8,0,1,7,2,0,0,5,4,2,1,6,4,2,0,2,2,2,2,1,2,3,2,3,6,6,2,2,4,5,2,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,5,0,3,8,1,0,2,3,5,2,2,5,2,0,2,3,3,0,2,0,4,2,2,2,7,7,2,0,5,4,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,1,7,2,5,1,2,4,4,2,1,6,3,1,6,3,1,0,0,6,2,2,1,5,1,3,1,5,4,7,0,2,7,2,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,2,8,1,3,3,3,5,0,4,3,1,5,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,6,2,3,8,1,7,1,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,1,0,0,5,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,5,6,1,6,1,2,5,1,4,4,3,2,2,5,3,1,0,0,6,1,2,1,2,3,4,2,8,1,6,1,3,4,5,5,3,1,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,3,1,4,9,0,0,0,2,7,2,4,3,2,2,0,4,2,2,1,4,2,3,0,8,1,6,2,1,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,6,1,2,2,6,2,1,1,3,6,2,4,4,2,2,0,2,3,2,3,2,2,4,1,6,3,5,2,3,5,4,1,4,5,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,4,3,2,5,5,3,3,2,3,4,1,1,0,4,2,3,1,4,1,3,2,7,2,6,1,3,8,1,5,3,2,0,0,3,1,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,3,4,0,3,5,0,4,5,4,0,2,7,0,4,0,0,3,1,2,0,5,3,2,0,0,9,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +32,1,2,4,7,0,4,3,2,7,0,2,2,5,2,0,4,5,0,0,0,4,2,4,0,1,3,4,2,9,0,3,0,6,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,4,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,0,6,1,3,4,1,5,5,3,2,2,4,4,2,1,1,5,1,2,1,3,2,3,1,2,7,6,1,3,6,3,5,2,2,1,0,3,6,0,0,0,6,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,3,3,5,9,0,0,0,3,6,3,6,0,1,0,0,8,1,0,1,6,3,0,0,0,9,3,6,0,0,9,0,0,1,8,1,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,0,3,6,7,0,2,3,3,3,1,1,8,2,0,0,1,5,3,1,1,1,7,1,8,1,4,2,4,3,6,1,6,3,1,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,0,5,0,7,2,6,2,1,5,4,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,3,4,1,2,5,0,4,4,1,5,3,5,2,5,0,0,3,2,1,2,2,3,2,1,7,2,8,1,0,8,1,2,3,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,3,4,2,1,3,4,3,4,5,2,0,4,5,0,0,0,2,3,4,0,2,3,5,1,9,0,7,1,1,8,1,1,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,4,0,5,9,0,0,5,2,3,2,5,2,6,0,0,3,0,0,1,1,2,3,2,7,2,9,0,0,7,2,6,0,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,7,0,2,0,6,0,3,1,4,4,1,5,4,1,0,0,3,2,4,1,2,2,5,2,3,6,9,0,0,6,3,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,0,0,9,0,4,5,0,0,0,3,3,4,0,3,6,0,0,4,5,6,0,3,3,6,5,0,4,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +30,1,2,3,7,0,5,1,3,7,1,2,3,5,2,0,4,5,0,0,0,2,2,6,0,3,3,2,3,3,6,9,0,0,5,4,2,3,3,3,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,0,3,6,0,0,0,0,5,5,0,0,2,5,2,9,0,3,2,4,9,0,6,3,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +28,1,2,4,6,1,7,1,2,7,1,2,2,6,1,3,5,2,3,3,1,2,2,1,3,1,2,3,2,2,7,7,0,2,5,4,2,4,3,2,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,5,0,2,3,6,0,3,0,3,6,0,5,4,2,0,0,4,2,2,2,2,3,5,0,1,8,7,2,0,5,4,2,6,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,0,9,0,0,5,0,4,2,4,3,0,9,0,4,0,0,5,0,0,4,5,0,0,0,2,7,7,2,0,3,6,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,3,0,6,5,0,4,2,4,3,2,5,2,4,0,2,4,1,0,4,3,3,1,0,2,7,8,1,0,5,4,1,6,3,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,5,6,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +9,1,3,2,3,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"Yes" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,1,5,1,3,5,1,4,5,3,2,2,2,6,4,1,1,3,2,2,2,1,2,4,2,6,3,6,0,3,5,4,3,4,3,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,2,5,0,2,5,2,3,3,5,2,2,3,4,2,0,0,4,2,2,2,1,2,5,1,7,3,6,0,3,7,2,4,3,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,2,2,7,1,2,0,3,6,0,0,9,2,0,0,3,3,2,0,0,0,9,0,3,6,7,1,2,7,2,0,4,0,5,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,9,0,0,0,4,5,3,6,1,2,0,0,4,2,2,2,3,3,2,0,0,9,7,2,0,2,7,0,1,6,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,6,1,3,4,3,3,2,5,3,0,4,5,3,0,0,3,2,2,1,1,3,5,1,8,1,6,0,3,7,2,2,2,5,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,5,1,4,6,1,3,1,2,7,4,2,4,2,0,0,6,1,1,4,1,2,3,0,1,8,8,1,0,6,3,1,2,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,4,2,4,6,0,3,4,4,2,0,2,7,0,0,0,2,4,4,0,2,0,7,0,9,0,3,3,4,7,2,5,2,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,0,2,7,4,3,3,3,2,4,5,4,0,3,2,0,3,2,0,4,2,2,2,0,9,0,7,0,2,6,3,2,5,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,2,4,9,0,0,0,4,5,5,3,2,5,0,0,2,2,1,5,2,2,2,0,0,9,7,2,0,2,7,0,2,3,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,0,5,5,2,2,1,5,3,1,5,3,1,0,1,7,1,1,1,4,2,3,0,1,8,6,2,1,4,5,2,3,4,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,0,2,3,5,6,1,3,2,2,5,2,2,6,0,0,0,3,2,4,0,2,2,5,1,8,1,6,2,2,9,0,5,3,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,8,0,1,7,0,2,0,7,2,0,4,5,0,1,0,2,6,2,0,1,2,7,1,1,8,7,2,0,7,2,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,2,4,1,2,1,6,2,2,7,7,1,2,3,6,1,2,1,0,6,1,2,2,4,3,1,0,6,3,6,1,3,5,4,4,3,2,1,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,2,5,2,2,6,3,3,3,3,4,3,3,0,0,0,0,6,1,2,2,4,2,9,0,3,0,6,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,1,2,1,5,7,1,1,1,3,5,3,5,2,3,1,0,4,2,2,2,3,3,2,1,3,6,7,1,2,5,4,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,2,4,0,0,2,7,4,2,4,4,2,3,5,4,0,2,2,0,4,1,2,4,3,2,1,1,7,2,5,0,4,5,4,4,2,2,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,2,0,7,5,0,4,4,1,5,2,3,4,0,0,0,9,0,0,0,3,2,4,0,1,8,9,0,0,6,3,0,2,7,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,0,1,0,8,3,2,4,3,2,5,0,1,8,0,0,0,1,4,5,0,1,0,5,4,8,1,4,0,5,8,1,8,1,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,5,3,2,7,1,1,1,4,5,2,5,3,2,0,1,3,2,2,2,3,1,4,0,5,4,7,1,1,5,4,2,2,5,1,0,4,7,0,0,3,6,6,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,2,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,6,1,2,6,2,2,0,3,6,0,6,3,0,0,3,2,0,4,0,2,2,5,0,4,5,5,2,3,6,3,5,4,0,0,0,3,5,0,3,0,6,0,0,0,0,0,0,0,6,0,0,0,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,2,6,0,4,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,6,0,3,8,0,1,0,4,5,4,3,3,2,3,0,2,3,1,5,2,0,3,0,2,7,7,2,0,2,7,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,4,3,1,3,5,2,2,2,3,4,1,6,2,1,0,2,4,2,2,1,3,4,2,0,5,4,8,1,1,5,4,2,1,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +8,1,4,3,2,1,7,0,1,6,0,3,1,2,6,2,6,1,4,0,0,5,1,1,4,3,2,1,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,6,3,0,9,0,0,1,4,4,2,3,5,2,0,1,3,1,3,2,1,1,6,0,2,7,4,4,2,4,5,1,4,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,2,6,0,6,6,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,1,7,0,2,8,0,1,1,3,6,3,5,2,1,0,2,3,4,0,2,1,4,3,1,0,9,7,2,0,5,4,0,8,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,2,0,9,0,0,3,4,3,3,4,3,1,0,0,1,4,4,1,1,5,2,2,2,7,7,0,2,7,2,1,3,4,3,0,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,8,0,1,8,1,0,0,4,5,2,4,4,3,0,5,1,0,2,3,3,3,2,0,0,9,4,5,0,1,8,0,5,3,2,0,5,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,3,5,1,1,4,2,4,4,4,1,2,3,5,2,2,1,2,3,1,2,1,2,3,2,7,2,5,0,4,7,2,6,2,2,1,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,0,2,1,5,4,2,4,3,3,0,3,2,2,1,4,2,2,2,0,2,7,8,1,0,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,4,2,5,6,1,5,0,3,5,0,4,4,4,2,3,3,3,6,0,0,2,2,0,6,0,0,3,0,3,6,5,0,4,2,7,3,2,4,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,4,2,2,1,3,2,4,8,1,0,0,2,7,3,5,2,4,1,0,4,2,0,3,4,2,1,0,0,9,7,1,2,5,4,1,4,4,1,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,6,0,0,3,4,0,5,4,0,5,0,4,5,0,0,0,0,6,3,0,0,5,4,0,6,3,4,0,5,6,3,3,4,2,2,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,7,2,0,7,0,2,0,5,4,0,3,6,0,0,0,2,0,7,0,0,4,5,1,1,8,5,2,2,7,2,0,8,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,1,4,7,1,2,1,3,5,0,3,6,1,0,0,3,4,2,1,3,1,5,1,8,1,6,1,2,9,0,1,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,4,0,5,4,1,5,5,1,4,0,4,5,0,0,0,3,6,1,0,3,0,6,1,5,4,6,0,3,7,2,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" +41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,3,0,0,0,0,0,6,4,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,4,1,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,3,2,0,5,8,1,0,0,1,8,6,3,1,4,0,0,4,1,0,5,4,1,1,0,0,9,7,1,1,1,8,0,0,3,6,1,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,4,3,5,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,3,5,2,5,2,2,5,1,3,4,2,4,2,4,4,5,0,0,3,1,1,4,1,2,3,1,2,7,6,0,3,5,4,3,2,4,0,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,5,0,4,7,0,2,2,3,5,2,2,6,3,0,2,3,1,3,1,2,4,4,0,4,5,5,3,2,5,4,3,3,2,2,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,1,3,5,0,3,2,5,1,1,8,7,2,1,2,2,6,1,0,0,3,3,4,1,2,2,5,1,9,0,5,0,4,7,2,5,4,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,2,1,2,5,6,2,1,1,4,4,0,4,5,1,3,1,4,1,2,2,2,3,3,1,1,8,6,1,3,7,2,1,3,6,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,0,2,0,7,9,0,0,0,0,8,3,0,6,3,0,0,0,3,3,3,0,0,6,0,0,9,5,2,2,5,4,6,0,0,3,0,4,7,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,0,5,2,3,7,1,2,2,3,5,3,4,3,4,0,0,4,1,0,4,2,2,2,0,1,8,8,0,1,6,3,0,5,4,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,7,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,2,4,5,1,3,2,5,3,2,3,4,3,1,0,2,3,3,3,1,2,3,1,3,6,7,1,2,5,4,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,0,3,5,0,4,1,1,8,2,2,6,0,0,1,2,6,1,0,2,1,5,3,1,8,8,1,1,8,1,3,3,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +40,1,2,4,10,0,4,0,5,5,2,2,4,2,4,0,1,8,4,0,2,2,3,0,0,0,5,4,0,9,0,6,2,2,6,3,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,4,3,2,6,3,0,0,4,0,5,1,4,4,1,8,0,1,0,0,5,3,0,1,1,7,0,0,0,9,7,2,0,4,5,0,2,4,3,0,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,0,4,5,0,4,3,3,3,2,3,5,0,0,0,3,1,6,0,2,2,6,0,9,0,7,0,2,5,4,5,3,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,2,3,4,1,3,5,3,0,1,3,1,2,2,1,4,3,2,4,5,4,2,3,6,3,4,3,2,0,1,4,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,5,0,6,6,0,6,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,2,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,4,2,3,2,5,2,0,9,0,0,0,0,9,0,5,4,0,0,0,5,2,2,0,2,5,3,0,4,5,7,1,2,6,3,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,2,1,7,5,2,3,3,3,5,0,1,8,0,0,0,2,7,1,0,1,1,8,0,5,4,5,4,0,9,0,3,2,5,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,2,1,6,4,2,4,3,2,4,4,4,2,2,1,0,3,2,3,2,2,3,3,1,7,2,5,1,4,5,4,4,3,2,1,1,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,5,7,0,9,0,0,9,0,0,0,5,4,0,4,5,0,0,0,2,5,2,0,0,3,6,0,4,5,5,0,4,9,0,7,2,0,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,6,1,2,6,1,3,3,4,2,2,6,1,2,1,1,6,1,1,2,4,2,2,0,7,2,7,1,2,7,2,1,6,2,2,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,8,1,0,1,6,1,3,0,1,8,3,3,4,5,0,0,3,2,0,3,2,1,2,3,5,4,6,1,3,5,4,4,2,2,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,5,0,4,9,0,0,0,4,5,0,4,5,0,0,0,4,0,5,0,4,0,5,0,0,9,9,0,0,9,0,5,2,2,0,0,3,7,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,1,2,3,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,2,7,0,0,7,1,2,1,4,5,0,3,6,1,1,0,2,3,4,1,1,3,5,1,0,9,6,2,2,5,4,0,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,4,3,1,3,5,2,3,3,4,3,1,3,5,2,0,1,3,3,2,1,1,2,4,2,7,2,7,2,0,4,5,3,3,3,1,1,4,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,5,1,4,7,1,2,2,3,5,2,3,5,2,1,2,1,4,1,3,1,2,4,1,2,7,6,3,1,6,3,2,3,4,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,2,4,2,3,6,0,3,3,2,4,2,4,3,2,2,1,4,2,1,2,2,4,2,0,3,6,6,1,3,5,4,1,5,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,3,4,2,1,3,4,3,3,5,2,0,4,5,0,0,0,4,4,2,0,2,3,4,1,9,0,7,1,1,8,1,3,6,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,2,4,4,7,0,2,1,4,4,3,5,2,2,0,0,4,1,3,1,3,3,3,1,5,4,7,0,2,6,3,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,2,9,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,2,2,6,0,1,1,7,1,9,0,7,0,2,7,2,6,3,1,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,2,3,2,3,6,1,2,3,5,2,1,3,6,1,0,0,2,2,6,1,1,2,6,1,3,6,6,1,3,8,1,2,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,6,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,4,2,0,4,8,1,0,0,2,7,5,3,1,2,0,0,6,1,2,5,3,1,1,0,0,9,7,2,0,4,5,0,1,4,2,3,8,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,1,2,8,1,0,0,4,5,0,4,5,0,0,0,5,1,4,0,1,5,4,0,4,5,8,1,0,9,0,2,5,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,1,3,3,0,9,0,0,0,0,9,9,0,0,0,0,9,0,0,0,0,9,0,0,0,0,7,2,9,0,0,0,9,9,0,9,0,0,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,5,3,2,4,3,3,0,3,6,3,6,0,2,0,0,5,0,2,2,5,2,0,0,6,3,7,0,2,5,4,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,1,2,4,0,6,0,0,0,0,0,0,0,6,0,0,0,7,0,0,0,3,0,1,1,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,5,0,4,7,0,2,5,0,4,0,0,9,3,0,2,3,1,3,0,0,0,9,0,5,4,5,3,2,5,4,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,2,8,0,5,0,4,5,1,4,4,2,4,1,3,5,0,0,1,5,2,2,1,3,0,4,2,6,3,4,2,4,8,1,5,3,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,2,3,0,5,7,2,0,0,4,5,1,6,2,3,0,0,4,1,3,2,2,3,4,0,8,1,9,0,0,6,3,2,2,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,0,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +24,1,2,3,5,1,5,1,3,4,2,4,4,4,2,2,4,4,2,0,0,3,3,3,1,1,2,5,1,7,2,6,0,3,7,2,3,3,2,2,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,3,2,2,3,9,0,0,0,0,9,3,6,0,3,0,0,6,0,0,3,4,3,0,0,9,0,9,0,0,4,5,0,0,9,0,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,1,1,1,4,0,5,0,5,0,0,9,9,0,0,9,0,0,0,0,0,0,0,9,9,0,0,0,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,2,2,1,6,3,1,5,4,2,4,2,5,2,4,0,0,4,2,1,3,2,2,2,1,7,2,5,2,2,6,3,0,4,4,2,0,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,3,2,4,6,0,3,2,4,4,1,2,6,2,0,0,2,3,4,1,0,3,5,2,1,8,6,2,2,8,1,3,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,6,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,2,4,3,3,1,1,1,7,9,0,0,0,0,9,2,4,4,0,0,0,4,3,3,0,3,0,4,2,9,0,4,1,5,6,3,3,0,4,3,0,6,5,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,5,3,2,0,5,0,4,9,0,0,0,0,8,5,4,0,7,0,0,2,0,0,7,0,2,0,0,0,9,9,0,0,4,5,0,0,9,0,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,5,8,3,6,0,0,9,0,0,0,7,2,2,0,7,0,0,2,2,5,0,0,2,2,6,0,7,2,6,0,3,9,0,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,1,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,5,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,5,1,4,4,3,2,2,1,6,2,7,1,2,0,0,4,3,2,1,1,3,5,1,4,5,8,0,1,9,0,3,4,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +35,1,3,2,8,0,3,1,5,8,0,1,1,1,7,2,3,5,2,0,0,2,3,3,2,0,2,4,3,9,0,7,0,2,9,0,4,5,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,1,3,7,1,2,0,3,6,0,3,6,0,0,0,0,6,3,0,0,0,9,0,5,4,9,0,0,5,4,0,9,0,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,2,1,0,5,1,3,8,0,1,1,3,6,1,4,5,2,1,1,4,2,2,1,3,0,6,0,7,2,7,1,2,8,1,1,7,2,0,1,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +23,1,2,2,5,2,4,0,4,1,3,5,5,3,2,2,5,3,0,0,0,2,5,2,0,2,3,5,0,9,0,4,0,5,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,0,0,8,1,1,1,4,5,0,6,3,2,2,0,4,2,1,2,5,1,3,1,0,9,7,2,1,2,7,0,6,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,5,7,0,7,1,1,5,0,4,4,4,1,1,3,5,1,0,0,2,1,6,1,1,3,3,3,7,2,3,0,6,9,0,5,4,0,0,0,2,2,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,1,7,0,2,7,0,2,1,3,6,3,5,1,6,0,0,2,0,1,6,1,3,1,0,4,5,7,2,1,5,4,1,1,8,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,2,3,2,4,5,2,3,3,2,4,2,2,5,3,0,0,4,2,2,0,3,3,3,1,2,7,5,2,3,6,3,2,4,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,5,2,2,5,1,4,4,4,1,1,7,2,2,1,0,6,1,1,2,4,2,2,1,4,5,7,1,2,5,4,4,3,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,2,3,4,2,7,0,2,2,6,2,2,5,3,3,1,2,2,0,3,2,2,4,2,0,6,3,7,0,2,6,3,1,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,3,3,1,3,4,0,5,3,4,3,4,3,3,3,0,0,0,3,4,1,0,3,3,3,4,5,7,0,2,6,3,3,4,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,2,5,0,3,2,4,4,5,4,1,1,6,3,1,0,2,2,5,2,2,0,2,4,1,8,1,4,0,5,9,0,3,4,2,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,9,0,0,9,0,0,0,5,4,0,7,2,2,0,0,2,2,4,2,0,3,4,0,3,6,5,0,5,9,0,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,5,0,4,8,1,0,1,3,5,1,5,3,3,0,0,2,1,3,0,3,4,3,0,0,9,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,3,2,2,5,1,2,0,7,1,7,2,2,6,2,2,3,5,1,0,0,5,2,1,2,1,3,5,1,8,1,8,0,1,8,1,4,3,2,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,2,5,2,2,1,0,5,2,1,2,3,3,2,1,1,8,7,0,2,5,4,1,2,6,1,1,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,4,2,3,0,6,1,3,9,0,0,0,2,7,3,4,3,5,1,0,2,2,1,4,1,2,2,1,0,9,8,1,0,4,5,1,2,6,2,1,6,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,5,2,0,3,5,2,3,2,4,3,0,4,5,2,0,0,0,7,0,2,0,0,6,2,9,0,7,2,0,4,5,3,3,4,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,4,2,10,4,4,0,2,6,3,0,0,3,6,2,2,6,0,0,4,2,2,3,2,0,4,4,0,0,9,7,2,0,6,3,5,0,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,2,1,0,2,0,7,5,0,4,4,4,2,7,2,0,7,0,0,2,0,0,7,2,0,0,0,0,9,6,3,0,4,5,0,0,4,5,0,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,2,1,1,6,5,3,2,1,3,5,1,3,5,1,1,0,2,4,3,1,1,2,6,1,8,1,5,1,4,6,3,4,3,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,2,2,5,1,3,4,5,1,1,5,4,3,1,0,4,1,2,3,2,2,2,3,6,3,7,1,1,5,4,4,4,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,6,0,3,7,2,0,0,6,3,1,8,1,3,3,0,3,0,1,2,2,4,1,2,2,7,7,0,2,4,5,0,1,8,0,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,1,2,2,6,6,1,2,1,2,6,1,2,7,0,0,0,3,4,3,0,1,1,6,2,8,1,5,1,4,8,1,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,3,0,6,7,0,2,1,3,6,2,5,2,2,0,1,3,4,0,2,2,1,5,0,1,8,6,3,0,5,4,3,1,6,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,4,0,0,0,0,0,0,0,4,0,8,0,0,0,4,0,0,0,0,0,1,1,0,0,0,0,0,0,0,2,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,3,1,5,5,2,3,9,0,0,0,2,7,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,7,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,3,5,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,2,7,0,3,6,3,0,0,2,5,0,2,2,2,5,0,0,9,6,3,0,3,6,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,4,3,2,0,5,0,4,9,0,0,0,3,6,4,5,0,0,0,0,6,0,3,0,3,6,0,0,0,9,5,4,0,4,5,0,0,3,6,0,8,6,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,0,3,7,0,2,1,3,6,5,4,1,6,0,0,3,0,1,5,2,1,2,0,4,5,7,1,2,5,4,2,2,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,3,6,0,0,0,0,0,0,0,0,0,2,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,4,6,0,0,0,2,0,0,0,3,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +28,2,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,2,2,1,4,1,0,2,2,5,8,1,0,0,9,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,4,2,4,3,1,3,5,2,3,0,7,2,0,5,4,0,0,5,0,5,0,0,0,5,4,0,6,3,7,2,0,4,5,2,6,2,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +20,1,1,6,5,0,6,0,3,0,0,9,9,0,0,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,0,0,9,9,0,9,0,0,0,0,1,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,1,5,1,3,6,1,2,2,4,4,2,4,4,2,0,4,3,1,1,3,2,4,2,0,1,8,6,3,1,3,6,2,2,5,2,1,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,0,5,0,4,9,0,0,0,3,6,6,3,0,6,2,0,1,0,1,8,1,0,0,0,0,9,9,0,0,3,6,0,1,3,4,3,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,3,3,5,1,4,1,5,6,1,2,1,2,6,1,2,7,1,0,0,4,4,1,1,1,2,6,1,8,1,7,1,2,8,1,3,5,2,1,1,3,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,2,3,3,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,1,3,7,2,1,1,4,5,3,4,3,2,0,1,6,2,0,2,3,2,3,0,4,5,3,3,4,7,2,2,3,4,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,"Yes" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,2,0,0,5,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,6,0,3,7,0,2,0,4,5,1,1,8,0,0,0,9,0,0,0,0,1,8,0,3,6,6,1,2,7,2,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,2,5,0,5,2,2,1,4,5,5,4,1,1,6,2,1,0,0,6,1,3,1,4,3,3,0,9,0,3,2,4,6,3,3,4,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +37,2,2,2,8,0,5,1,3,7,1,1,1,4,4,1,6,2,2,0,0,4,4,0,2,2,1,4,0,3,6,7,2,0,6,3,1,3,5,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,3,5,1,3,0,0,5,1,1,2,2,4,3,0,6,3,7,1,2,5,4,3,3,4,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,4,5,0,1,8,0,0,1,3,0,6,0,1,1,5,4,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,5,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,1,5,3,2,4,3,2,2,5,3,2,5,2,3,0,0,5,1,1,1,2,3,3,0,8,1,7,1,2,7,2,1,3,4,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,0,3,6,9,0,0,0,3,6,5,4,0,4,1,0,3,1,2,5,3,2,0,0,8,1,9,0,0,0,9,0,2,2,3,3,0,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,1,2,2,5,5,2,2,4,4,1,1,4,4,2,0,0,3,2,4,1,2,1,5,1,7,2,6,1,3,8,1,2,5,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,3,3,4,2,4,3,3,3,0,3,6,0,0,0,4,1,4,0,0,3,6,1,9,0,3,0,6,8,1,7,2,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,0,7,0,2,8,0,1,1,6,3,0,4,5,0,0,4,3,0,3,0,2,6,2,1,0,9,8,1,1,2,7,1,0,8,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,3,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,3,1,0,1,6,2,6,3,5,0,4,7,2,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,2,3,7,0,2,2,5,5,2,3,2,4,4,0,3,6,0,0,0,2,5,3,0,1,1,8,1,9,0,7,0,2,7,2,5,4,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,3,3,5,1,7,0,1,9,0,0,0,3,6,1,3,5,1,0,0,2,4,3,1,1,2,6,1,6,3,7,2,0,7,2,1,4,4,2,0,5,2,0,0,0,6,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,"Yes" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,"No" +36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,4,0,5,5,0,4,3,2,5,0,2,7,0,0,2,0,3,4,0,0,3,3,4,0,9,6,0,3,9,0,6,3,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,5,0,4,7,2,0,0,4,5,4,4,2,1,0,0,6,1,2,1,3,3,3,1,7,2,9,0,0,5,4,2,3,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +12,1,3,2,3,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,2,3,3,9,2,6,0,3,6,1,3,1,0,8,1,3,6,2,1,0,4,0,3,1,2,2,3,3,2,7,5,2,2,5,4,1,4,2,3,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,1,3,2,3,0,5,3,2,4,3,3,0,2,7,0,4,5,0,0,0,3,3,4,0,0,2,7,0,7,2,7,0,2,5,4,2,2,4,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +25,1,2,3,6,2,3,1,4,6,2,2,2,4,4,2,4,4,3,1,1,4,1,2,2,2,3,3,1,2,7,6,1,2,6,3,2,3,4,2,1,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,3,3,2,5,1,3,4,3,3,3,4,3,4,0,0,3,2,2,2,2,2,3,2,5,4,6,1,3,4,5,3,1,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,2,3,3,1,2,4,0,4,8,0,1,0,0,9,6,3,0,4,0,0,3,0,3,6,3,0,0,0,0,9,3,4,3,5,4,0,0,0,5,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,4,0,4,9,0,0,0,0,9,4,5,0,7,0,0,2,0,0,7,0,2,0,0,0,9,7,2,0,0,9,0,2,7,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,0,4,2,0,7,7,2,0,0,0,9,2,1,3,2,1,3,0,0,4,3,2,8,1,2,0,7,6,3,9,0,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,7,0,2,6,0,3,0,9,0,0,5,5,0,0,0,0,5,5,0,0,0,9,0,9,0,3,2,5,6,3,7,2,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,7,0,2,9,0,0,1,3,6,0,1,8,0,0,0,1,2,6,0,0,1,6,3,9,0,7,0,2,5,4,3,6,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +11,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,4,0,0,5,2,0,7,6,2,2,0,5,5,1,0,0,2,0,6,1,2,2,5,0,9,0,6,0,3,6,3,0,3,5,2,0,5,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,4,0,5,3,0,6,5,0,4,3,3,4,0,0,0,3,2,4,0,2,3,3,2,9,0,3,2,5,9,0,9,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,5,2,2,3,4,3,2,1,7,4,0,2,2,3,0,0,0,3,5,1,1,8,6,2,2,6,3,0,6,3,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,0,3,6,0,6,3,0,0,0,9,0,0,0,0,0,9,0,9,0,6,2,1,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,2,3,3,3,0,4,5,2,2,1,5,3,4,4,2,3,0,0,5,2,1,4,3,2,2,0,4,5,6,1,3,6,3,1,2,4,3,1,7,7,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,4,2,0,4,3,4,9,0,0,0,4,5,3,4,2,5,0,0,2,2,0,4,0,2,3,0,2,7,8,1,0,6,3,3,0,6,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,3,4,2,2,8,1,0,0,5,4,4,3,2,5,0,0,2,1,2,4,2,2,1,2,0,9,9,0,0,4,5,2,2,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,3,2,1,4,8,0,1,1,5,4,3,4,3,3,1,0,4,1,3,3,2,2,3,0,2,7,7,2,0,3,6,0,3,4,2,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,1,3,0,5,6,1,2,5,3,1,0,3,6,3,0,0,0,3,4,0,1,3,2,5,6,3,7,2,0,4,5,6,1,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,8,0,1,4,0,5,4,2,4,3,3,4,5,0,0,4,1,1,3,2,1,3,2,4,5,3,2,5,7,2,5,0,3,1,1,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,0,2,0,7,4,0,5,4,4,1,2,5,3,3,0,0,2,3,3,2,3,0,4,0,6,3,4,0,5,7,2,3,3,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,5,1,1,3,5,1,4,3,4,3,2,2,5,1,1,0,5,1,2,1,2,3,4,2,7,2,6,1,3,5,4,2,2,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,7,1,2,6,0,3,3,4,3,0,1,8,0,0,0,3,0,6,0,1,1,8,1,9,0,8,0,1,9,0,7,1,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,5,0,4,5,1,4,2,4,4,1,2,7,0,0,1,2,1,6,1,1,0,2,6,8,1,4,2,4,8,1,2,7,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,7,0,0,0,2,5,0,3,0,0,0,0,6,0,0,0,0,0,0,0,1,4,0,0,0,1,2,0,1,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,2,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,5,6,1,5,1,3,2,0,7,7,1,2,2,5,3,1,2,1,5,1,2,2,1,5,2,0,1,8,4,1,4,3,6,1,7,1,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,6,2,4,0,7,0,0,0,0,0,0,0,0,0,0,6,7,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,1,2,8,0,9,0,0,6,0,3,9,0,0,0,9,0,0,0,0,0,0,9,0,0,9,0,0,9,0,6,0,3,4,5,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,0,0,0,0,0,2,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,2,2,5,3,0,6,3,1,5,2,4,3,4,0,2,2,2,2,3,1,3,2,2,4,5,3,0,6,9,0,4,2,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,2,3,0,0,9,0,0,0,2,0,7,0,0,0,4,5,9,0,6,0,3,9,0,5,1,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,3,2,4,5,0,4,1,4,7,0,2,4,2,4,2,4,4,3,1,0,2,1,3,2,1,2,2,3,5,4,9,0,0,4,5,3,3,2,2,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,9,0,0,6,0,3,4,3,2,0,5,4,3,0,0,2,2,4,1,1,3,4,0,6,3,6,0,3,4,5,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,4,0,5,5,2,3,2,4,4,3,3,4,6,0,0,2,0,2,3,2,2,2,2,4,5,5,2,3,6,3,3,3,3,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,2,3,2,2,1,4,0,5,6,2,1,2,3,5,3,6,0,2,0,0,5,1,1,2,3,4,1,0,2,7,7,2,0,5,4,1,0,5,3,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,4,3,1,0,0,6,0,2,1,3,4,3,0,6,3,5,1,3,8,1,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,2,5,6,0,8,1,1,5,0,4,3,5,1,1,3,5,1,0,0,2,1,6,1,1,3,3,2,6,3,4,0,5,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,3,3,8,2,7,0,0,5,2,2,0,3,6,0,2,7,0,0,0,0,3,6,0,2,0,4,3,9,0,2,2,5,9,0,0,3,6,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +39,1,2,4,9,0,2,4,4,7,0,2,0,7,2,4,1,4,1,0,0,4,1,5,1,4,0,5,0,5,4,7,0,2,6,3,1,4,2,4,0,6,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +31,1,3,1,7,4,0,0,5,4,0,5,0,0,9,0,0,9,0,0,0,0,0,9,0,0,0,9,0,9,0,7,2,0,4,5,3,5,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,4,3,3,7,1,2,1,4,4,0,4,5,0,0,0,5,2,3,0,2,2,5,2,9,0,8,0,1,7,2,4,4,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,4,3,3,4,0,5,4,2,3,0,1,8,0,0,0,1,0,8,0,1,0,2,7,8,1,5,2,3,4,5,6,3,1,1,0,2,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,0,2,7,2,0,0,4,5,5,4,0,5,0,2,2,0,1,7,2,0,0,0,0,9,5,4,0,0,9,0,2,6,2,0,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,"Yes" +25,1,2,4,6,2,2,1,5,4,1,5,4,4,2,2,5,3,2,0,0,5,2,1,2,2,3,3,1,8,1,4,1,5,6,3,3,3,2,2,1,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,6,1,2,4,1,5,5,3,2,3,4,3,4,0,0,3,1,2,3,1,3,3,1,4,5,5,0,4,5,4,5,2,3,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,4,0,6,6,0,4,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,3,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,4,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,2,2,5,1,0,4,2,3,5,0,4,4,4,2,4,0,5,4,0,0,0,4,2,4,0,0,5,0,4,5,5,0,4,5,4,1,3,5,1,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,5,2,0,3,5,2,3,1,5,3,0,3,6,2,0,0,0,7,0,3,0,0,6,1,9,0,7,2,0,4,5,3,4,3,0,0,3,3,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"Yes" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,4,4,9,0,0,0,3,6,0,4,5,1,0,0,3,3,2,2,2,2,5,1,9,0,5,3,2,6,3,0,4,5,1,0,4,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,1,0,0,6,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,5,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,7,1,2,2,1,6,1,3,5,2,1,0,3,3,2,1,2,2,4,1,6,3,5,2,3,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,0,0,9,2,6,2,0,4,5,4,4,2,5,2,0,3,0,0,6,0,2,2,0,2,7,6,0,3,2,7,0,0,4,5,0,7,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +7,1,2,3,2,0,9,0,0,4,2,3,2,2,5,3,2,5,2,0,0,3,4,0,1,2,3,4,0,5,4,5,2,3,4,5,2,4,2,2,0,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,3,2,9,0,0,3,6,2,6,3,0,8,0,0,0,0,1,8,0,1,0,0,1,8,5,4,0,2,7,1,0,1,7,2,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,0,5,6,0,3,3,4,3,0,3,6,2,0,0,0,6,2,0,0,3,6,0,3,6,6,2,3,5,4,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,1,4,2,3,4,1,4,3,4,2,2,4,4,1,2,0,4,4,0,2,2,0,5,0,6,3,6,0,3,7,2,4,0,5,0,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,2,2,4,7,0,6,1,3,6,1,3,4,3,3,0,1,8,0,0,1,2,4,3,0,1,1,5,3,7,2,5,1,3,8,1,5,2,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,7,0,0,3,7,2,0,1,3,5,3,3,4,3,1,2,3,1,2,3,1,3,3,1,3,6,4,5,0,2,7,2,3,3,2,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +36,1,3,3,8,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,1,1,4,2,2,1,6,2,2,6,9,0,0,9,0,0,3,0,0,4,1,3,0,2,7,0,0,9,0,2,1,7,4,5,6,3,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,2,1,2,4,1,2,0,6,0,1,8,8,1,1,7,2,1,3,1,0,3,1,3,3,1,5,1,1,8,1,1,0,8,4,5,7,1,1,1,1,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,0,5,6,2,2,2,4,4,0,4,5,0,0,4,2,3,1,1,1,4,3,1,0,9,6,2,1,4,5,3,2,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +41,1,4,3,10,0,5,2,2,5,0,4,3,0,6,0,0,9,0,0,4,0,3,3,0,0,4,4,2,4,5,9,0,0,9,0,2,6,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,3,3,4,6,1,2,1,4,5,0,3,6,0,0,0,3,3,4,0,1,1,6,2,9,0,7,0,2,7,2,6,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,4,6,0,4,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,6,2,1,6,1,2,0,1,8,1,1,8,1,0,0,2,2,5,1,0,1,6,3,8,1,6,1,2,8,1,4,4,2,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,1,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,6,2,2,9,0,0,0,4,5,3,6,0,4,0,0,4,2,0,4,2,4,0,0,0,9,6,3,0,3,6,0,6,3,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,3,7,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"Yes" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,2,0,0,6,0,0,0,0,3,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,0,5,0,4,5,2,3,4,4,2,0,5,4,0,0,0,5,4,1,0,4,2,4,0,0,9,7,2,0,7,2,0,8,1,0,0,3,5,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,2,5,1,5,1,4,4,3,2,2,6,1,1,5,4,1,0,0,5,1,4,1,2,4,4,0,9,0,7,2,1,8,1,4,3,2,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,5,0,2,8,0,1,1,3,6,2,2,6,0,2,4,2,2,1,1,3,5,2,0,1,8,4,5,0,2,7,5,1,0,4,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,3,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,4,3,9,1,6,2,1,9,0,0,1,0,8,4,3,3,2,0,0,2,4,2,3,3,4,1,0,6,3,6,2,1,6,3,0,5,4,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,2,1,5,7,1,2,1,3,5,1,3,5,1,1,0,4,3,2,1,2,2,5,1,8,1,6,1,2,6,3,3,4,3,1,0,4,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,0,0,0,4,2,0,6,2,0,0,9,9,0,0,4,5,0,0,7,0,2,8,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,4,4,7,0,2,1,0,8,1,0,8,2,0,0,4,1,3,0,0,1,4,4,9,0,7,0,2,6,3,4,0,5,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,0,2,0,6,4,1,4,5,1,1,0,3,3,3,1,2,0,6,0,2,7,7,2,0,2,7,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,6,3,0,0,9,0,0,0,3,6,6,2,2,5,2,0,3,0,0,5,3,0,2,0,0,9,9,0,0,0,9,0,0,6,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,5,7,1,1,0,5,4,9,0,0,4,0,0,0,0,5,1,8,0,0,0,9,0,6,2,2,8,1,0,5,4,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +29,1,2,4,7,0,4,2,4,5,0,4,4,2,3,0,5,4,2,0,0,3,4,0,0,3,0,6,0,0,9,6,1,3,6,3,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,0,5,7,1,2,0,3,6,2,4,3,3,0,0,3,0,3,3,1,4,3,0,4,5,7,2,0,5,4,2,4,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,2,4,2,4,7,1,2,2,3,5,3,5,2,3,1,1,4,2,2,3,2,3,2,1,6,3,7,1,2,6,3,1,3,5,1,0,4,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +40,1,2,4,10,0,5,0,4,7,0,2,2,7,0,2,5,2,3,0,3,5,0,0,4,3,0,2,0,2,7,9,0,0,2,7,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,3,0,0,6,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,2,2,5,0,0,4,9,0,0,1,6,2,8,1,1,2,0,0,2,0,6,5,3,1,1,0,2,7,7,2,0,0,9,0,0,3,5,2,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +8,1,3,3,2,1,6,1,3,9,0,0,0,4,5,6,3,1,6,0,0,2,1,1,5,2,2,1,0,0,9,7,2,0,2,7,0,1,5,4,1,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" +6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,"No" +8,1,3,3,2,7,0,0,2,7,0,2,1,3,6,2,3,5,3,0,1,3,3,1,3,1,1,5,1,4,5,7,2,1,5,4,2,3,3,2,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,1,1,0,7,8,0,1,1,3,6,1,5,4,1,0,0,3,5,1,1,2,2,4,1,1,8,7,2,1,5,4,3,0,6,1,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,5,8,1,4,1,4,7,1,2,4,4,2,0,6,3,0,0,0,9,0,0,0,3,4,3,0,9,0,6,2,1,5,4,6,0,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,6,0,3,9,0,0,0,0,9,0,6,3,0,0,0,6,0,3,0,2,4,3,0,9,0,3,3,4,6,3,4,0,3,3,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,5,1,3,3,3,4,4,3,3,2,5,2,2,0,0,3,1,4,1,3,4,2,1,8,1,6,0,3,8,1,4,2,3,0,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,6,0,3,7,2,0,1,2,6,2,4,4,1,0,0,5,2,1,0,3,2,4,0,0,9,9,0,0,5,4,2,4,4,0,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,1,2,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,1,1,0,"Yes" +24,1,2,2,5,1,4,2,3,4,1,4,4,4,2,2,4,4,2,1,0,3,4,0,3,2,0,6,0,7,2,6,0,3,7,2,4,0,5,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,3,6,0,0,9,5,0,0,2,0,3,0,0,6,3,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,6,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,4,6,1,2,2,3,5,1,3,6,1,1,1,3,3,2,1,2,2,5,2,5,4,5,2,2,7,2,4,4,2,1,1,3,4,2,0,0,7,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,4,2,1,0,4,0,5,9,0,0,0,0,9,0,2,7,0,0,0,5,2,2,0,2,0,7,0,7,2,9,0,0,9,0,3,0,4,3,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,3,2,1,5,0,4,7,0,2,1,4,5,3,5,1,4,0,0,4,0,1,3,1,4,2,0,6,3,6,1,2,5,4,1,1,7,0,0,5,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"No" +30,1,3,2,7,0,2,0,7,6,3,0,0,5,4,0,3,6,0,0,0,3,0,6,0,0,3,6,0,9,0,7,0,2,9,0,3,6,0,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,1,3,5,7,0,2,1,1,8,0,1,8,1,1,0,1,6,3,1,1,0,5,3,9,0,5,2,3,7,2,1,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,7,0,2,9,0,0,0,4,5,2,4,4,4,0,0,3,2,0,3,0,3,3,0,4,5,5,4,0,4,5,0,4,5,0,0,5,6,0,0,0,5,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,2,1,1,4,3,0,1,6,1,2,7,8,1,1,8,1,0,2,1,0,2,0,5,1,1,7,1,0,8,1,3,1,6,3,6,8,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,1,3,2,1,4,1,4,7,1,2,6,3,0,0,0,9,2,0,0,3,0,4,0,3,0,3,3,6,3,6,2,1,5,4,6,3,0,0,0,2,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +23,1,2,2,5,2,4,2,4,7,1,2,6,0,3,1,8,0,3,0,0,1,1,5,0,3,6,1,0,6,3,7,1,2,6,3,4,4,2,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,4,2,3,0,4,2,4,8,1,0,0,1,8,2,5,3,2,0,0,4,0,4,2,5,1,3,0,0,9,9,0,0,4,5,0,2,7,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"Yes" +11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,2,4,8,1,4,2,3,5,2,3,2,5,3,2,3,5,2,1,2,2,3,2,1,1,4,3,1,1,8,6,2,2,6,3,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,3,6,1,1,1,2,5,0,1,0,4,5,0,0,9,6,3,0,6,3,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,6,0,3,4,0,5,1,2,6,1,4,5,0,0,2,2,4,2,0,2,3,5,1,4,5,5,2,3,7,2,5,3,2,0,0,3,4,0,4,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +5,1,2,4,1,0,5,3,2,5,1,4,3,4,3,1,3,6,2,1,1,3,4,2,1,2,1,6,1,6,3,6,1,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,1,4,2,3,7,1,1,0,5,4,3,6,0,7,0,0,0,0,2,5,4,0,0,0,0,9,6,3,0,3,6,0,0,3,6,0,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,5,1,4,7,1,2,0,5,4,0,5,4,4,0,1,3,1,2,0,0,0,9,0,7,2,6,2,1,4,5,0,2,7,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,6,1,3,7,0,2,0,3,6,0,4,5,0,0,3,2,3,2,2,0,5,0,3,0,9,7,1,2,7,2,3,0,6,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,2,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,1,3,8,0,9,0,0,5,0,4,5,4,1,0,1,8,0,0,2,0,3,5,0,4,0,5,0,0,9,3,2,4,7,2,8,1,0,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,0,2,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,4,0,4,7,0,2,2,3,5,4,4,1,2,0,0,5,1,2,2,3,4,2,0,3,6,9,0,0,3,6,2,2,3,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,4,0,5,9,0,0,2,4,3,0,0,9,0,0,0,4,5,0,0,0,0,9,0,6,3,9,0,0,9,0,3,4,3,1,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,3,5,0,1,9,0,0,0,2,7,4,3,3,1,0,0,5,2,2,0,4,1,4,2,7,2,6,1,3,5,4,2,2,3,4,0,6,8,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,1,8,0,0,7,1,1,0,1,8,0,3,6,1,0,1,3,4,1,1,1,1,5,2,6,3,4,4,2,9,0,2,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,1,1,6,6,1,3,2,4,4,2,4,4,2,1,0,4,3,2,2,2,2,4,1,8,1,4,1,5,8,1,3,3,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,3,6,0,0,0,0,6,3,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,1,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,1,4,1,4,7,1,2,1,5,4,0,1,8,5,0,0,2,0,2,1,1,5,4,0,2,7,6,2,1,5,4,1,4,5,1,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,1,5,2,3,8,1,1,1,4,4,1,6,3,2,0,0,3,5,1,2,1,2,5,1,1,8,8,0,1,7,2,2,5,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,2,4,1,1,4,2,3,5,0,4,3,4,2,3,4,3,3,0,0,3,1,2,4,3,0,1,3,3,6,6,0,3,4,5,3,3,3,1,0,4,6,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,3,1,2,4,9,0,0,0,5,2,3,9,0,0,5,5,0,3,3,0,3,0,0,3,4,0,3,0,6,3,4,1,5,5,4,6,0,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,7,0,2,9,0,0,0,6,3,1,4,5,3,1,3,1,2,1,2,1,5,2,0,2,7,6,3,0,5,4,5,2,0,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,4,7,1,2,2,4,3,1,2,6,4,0,0,2,2,1,2,2,3,3,0,2,7,6,2,1,5,4,2,5,2,2,0,4,5,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,4,7,2,1,0,5,4,2,3,4,4,0,0,1,4,2,3,0,2,4,1,3,6,5,4,1,6,4,1,5,2,0,2,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,4,3,3,1,5,2,2,7,2,0,0,2,7,3,4,3,2,0,0,5,1,2,1,3,1,4,1,3,6,6,1,2,6,3,1,1,5,2,2,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,7,1,2,7,1,2,2,4,4,3,4,2,5,2,1,2,1,1,4,2,1,2,1,2,7,5,3,2,3,6,2,1,3,3,0,6,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,0,6,0,4,6,0,3,0,1,8,0,4,5,0,0,0,4,2,4,0,2,4,3,2,9,0,6,3,0,9,0,2,7,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,4,1,5,4,3,3,5,2,3,1,4,5,1,0,0,2,3,4,1,1,4,4,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"Yes" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,1,4,1,4,4,0,5,5,4,1,2,3,4,5,0,0,3,1,1,2,2,1,3,2,8,1,4,2,4,4,5,1,3,5,1,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,4,8,2,2,1,5,8,0,1,0,5,4,1,3,5,2,0,1,3,2,3,1,2,3,3,1,4,5,7,2,0,1,8,1,4,4,1,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,2,1,0,6,8,0,1,1,1,7,1,5,4,2,1,0,4,3,0,2,2,2,4,0,5,4,6,2,1,2,7,2,3,3,2,1,5,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,0,3,2,5,5,3,2,1,6,2,1,4,4,1,1,1,6,1,2,1,2,2,5,0,8,1,5,1,4,8,1,6,3,1,1,0,2,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,3,8,0,4,0,5,5,2,3,2,3,4,3,3,3,7,0,0,2,0,1,4,3,2,2,1,3,6,5,2,3,6,3,3,2,4,2,0,5,5,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,2,5,2,3,2,4,3,1,5,4,0,5,0,6,3,0,2,0,3,2,4,2,1,5,2,0,6,3,6,0,3,8,1,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,6,0,3,3,2,5,0,5,4,0,0,0,3,6,0,0,0,4,5,0,0,9,5,2,2,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,4,1,4,7,1,2,0,5,4,0,8,1,4,0,0,2,2,1,0,4,0,5,0,5,4,6,2,1,5,4,0,9,0,0,0,3,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,3,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,5,3,2,4,1,4,5,4,1,3,2,4,1,1,0,5,2,1,3,1,2,2,3,9,0,5,0,4,5,4,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,0,4,2,4,9,0,0,0,3,6,7,2,0,3,0,0,3,0,3,5,3,2,0,0,2,7,7,1,1,4,5,2,0,4,3,2,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +11,1,3,3,3,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,6,0,0,3,5,5,0,0,0,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,1,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,5,0,4,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,1,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,4,8,0,9,0,0,9,0,0,0,4,5,0,5,4,5,0,3,2,0,0,2,2,6,0,0,3,6,6,2,2,3,6,0,0,7,2,0,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,1,3,1,5,5,1,3,3,2,4,2,4,3,2,1,1,3,2,2,2,2,2,4,1,6,3,7,1,2,5,4,2,4,3,1,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +7,3,2,2,2,0,3,0,6,4,0,5,4,2,3,2,3,5,6,0,0,2,2,0,4,0,0,2,4,6,3,4,2,4,4,5,4,3,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,4,3,8,0,5,3,1,7,2,0,0,2,7,1,5,4,2,0,0,5,2,1,2,1,4,3,0,3,6,4,3,2,6,3,1,0,8,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,2,2,2,5,0,5,2,2,4,2,4,4,4,2,2,4,3,3,1,0,2,1,4,5,2,1,2,2,7,2,6,1,3,8,1,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,2,4,2,4,7,1,2,2,0,7,1,8,0,1,0,0,4,4,1,0,1,5,3,0,2,7,7,1,2,6,3,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,2,2,4,6,0,5,2,3,7,0,2,2,5,3,0,1,8,0,0,0,2,4,3,0,0,1,7,2,9,0,8,0,1,7,2,5,4,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,5,2,2,0,7,2,0,0,9,0,0,0,0,6,3,0,0,0,9,0,3,6,9,0,0,9,0,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,6,0,0,0,1,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,2,4,2,2,7,0,2,2,4,3,1,5,4,1,0,0,3,1,4,1,1,4,4,0,2,7,5,3,2,5,4,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,2,4,2,2,2,1,5,5,2,3,0,7,2,3,6,1,0,0,0,8,1,1,0,8,0,1,0,8,1,5,1,4,6,3,2,2,4,4,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,4,8,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,1,4,2,3,7,0,2,2,4,4,1,4,5,1,0,0,6,1,3,0,3,2,5,0,6,3,5,2,3,7,2,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,5,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,4,1,4,5,1,3,3,4,3,2,4,3,3,0,1,4,1,2,3,2,3,3,0,5,4,6,1,3,5,4,3,2,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"No" +34,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,2,5,2,2,2,5,5,1,4,2,2,6,0,5,4,1,0,0,4,3,2,1,1,2,6,0,2,7,5,1,3,8,1,2,6,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,2,3,2,4,2,2,6,5,3,2,4,4,2,2,0,0,6,0,2,1,3,4,2,1,9,0,2,0,7,5,4,6,2,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,4,2,3,0,7,2,0,9,0,0,0,0,8,2,4,4,2,0,0,2,5,0,2,0,3,5,0,4,5,9,0,0,7,2,0,4,5,0,0,5,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,0,5,6,0,3,2,3,5,2,3,4,2,0,0,4,3,1,1,2,2,5,0,5,4,6,0,3,6,3,1,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,3,3,4,5,0,4,4,1,5,0,0,9,0,0,0,4,0,5,0,0,0,5,4,9,0,6,0,3,9,0,1,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,2,2,3,0,4,0,5,3,2,4,4,3,2,1,6,2,0,0,0,4,2,3,0,2,3,5,0,7,2,7,0,2,9,0,3,4,2,1,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,0,6,1,2,7,1,1,1,8,1,5,4,0,4,0,0,1,4,0,5,4,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,4,3,2,1,4,1,4,7,1,2,0,3,6,4,3,3,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,3,2,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,5,2,1,7,2,0,0,2,7,4,4,2,3,0,0,5,2,1,2,3,3,2,1,0,9,9,0,0,4,5,1,2,7,0,0,5,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,2,4,3,2,6,1,3,3,5,2,1,4,4,3,2,1,2,2,2,1,2,3,3,2,5,4,6,0,3,6,3,3,2,4,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,4,6,1,3,0,5,4,0,2,7,0,0,0,0,0,9,0,0,2,2,5,5,4,5,1,3,7,2,0,7,0,2,0,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,0,4,4,2,7,0,2,2,5,3,0,4,5,0,0,0,4,2,3,0,2,3,3,2,9,0,3,0,6,7,2,2,7,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,5,2,2,9,0,0,5,2,3,5,1,3,7,0,0,2,0,0,1,1,5,3,0,0,9,6,3,0,5,4,0,1,4,5,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,0,4,0,5,8,0,1,1,2,6,2,5,2,4,0,1,4,2,0,3,2,3,2,0,0,9,7,2,1,6,4,1,7,1,1,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,2,7,0,0,6,1,2,2,6,2,0,4,5,3,0,0,5,0,2,1,1,3,4,2,0,9,6,0,3,6,3,4,4,0,2,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,3,3,8,0,0,1,5,2,3,3,4,3,3,2,4,3,0,0,4,2,0,2,2,2,4,0,2,7,5,3,2,6,3,3,3,3,1,1,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,5,1,4,7,2,1,1,5,4,3,4,2,3,2,0,2,2,1,5,2,1,3,0,2,7,5,4,1,4,5,1,1,3,5,0,7,7,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,3,1,5,6,2,1,0,3,6,2,4,4,2,0,0,4,1,3,1,3,1,4,1,9,0,6,1,2,7,2,3,3,3,0,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,2,3,2,4,6,1,3,2,4,4,1,4,4,1,0,0,4,3,3,1,2,2,4,2,5,4,6,1,2,7,2,3,3,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,2,3,7,0,5,1,3,6,0,3,3,3,3,0,1,8,0,0,0,4,0,5,0,1,1,5,3,9,0,7,0,2,9,0,6,2,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,2,2,3,4,1,2,1,6,3,2,5,5,3,1,5,4,1,5,0,1,3,0,1,5,3,2,0,0,7,2,4,2,4,7,2,5,1,3,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,2,8,2,2,4,2,2,5,2,2,5,2,0,4,5,0,0,0,4,0,5,0,2,3,5,0,9,0,5,2,2,9,0,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,0,6,0,3,7,0,2,0,6,3,2,6,2,2,0,0,4,0,4,2,2,4,2,0,6,3,7,2,0,4,5,0,1,6,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,6,1,2,7,1,1,5,1,4,5,4,0,4,0,0,5,1,0,1,8,0,0,0,9,0,8,1,1,4,5,0,5,4,0,0,5,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,2,4,3,1,2,5,2,3,5,5,2,2,4,3,2,3,1,0,3,1,3,3,2,2,3,1,7,2,2,0,7,6,3,5,3,2,1,1,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,2,2,0,6,7,1,1,1,3,5,5,4,1,3,1,0,4,1,1,5,3,1,1,0,1,8,9,0,0,0,9,0,0,2,4,3,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,0,2,0,6,0,0,0,0,4,4,0,0,0,0,6,6,0,0,0,0,0,0,1,0,1,0,0,0,0,2,1,0,0,0,0,1,1,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,5,1,1,5,2,3,5,1,4,1,8,1,6,2,1,6,2,0,1,1,1,5,3,1,1,1,1,8,5,1,3,5,4,1,1,3,3,3,8,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,4,2,3,0,2,0,7,9,0,0,0,0,9,0,3,6,0,0,0,7,0,2,0,2,0,6,2,0,9,9,0,0,9,0,2,0,5,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +25,1,2,4,6,1,5,2,1,6,1,3,3,4,3,2,5,3,2,0,0,5,1,2,1,2,2,4,1,7,2,5,1,3,6,3,5,2,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,4,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,5,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,6,1,2,5,1,3,0,5,4,0,5,4,0,0,0,0,5,4,0,0,0,9,0,0,9,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,1,4,2,3,5,2,3,2,4,4,2,6,3,2,1,1,3,2,2,1,1,4,3,1,1,8,6,2,2,6,3,1,4,3,2,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"Yes" +29,1,1,3,7,2,1,2,5,2,0,7,6,2,2,0,2,7,0,0,0,0,3,6,0,0,0,7,2,8,1,4,0,5,7,2,7,1,2,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,1,7,1,2,7,0,2,2,2,5,4,4,2,4,2,0,2,1,2,4,2,3,2,0,1,8,6,1,2,5,4,2,3,4,1,0,5,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,1,5,7,0,7,1,1,5,0,4,6,2,2,1,3,6,1,0,0,1,1,8,1,1,1,4,5,8,1,3,0,6,9,0,3,6,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,0,5,0,5,0,6,3,7,2,1,0,5,4,2,0,0,4,2,2,1,1,4,1,4,9,0,5,3,3,9,0,5,2,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,4,0,5,5,0,4,1,0,8,0,6,3,0,0,0,5,4,1,0,1,4,5,1,6,3,5,0,4,9,0,5,0,2,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,4,3,2,5,2,3,3,5,2,1,3,6,1,1,0,3,2,4,1,2,2,3,3,6,3,6,1,3,8,1,4,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,3,3,3,5,2,2,2,2,5,2,6,2,3,0,0,6,0,2,1,2,5,1,0,0,9,9,0,0,4,5,2,3,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,1,5,0,4,7,0,2,1,4,4,4,5,1,4,0,0,4,0,1,2,1,5,3,0,7,2,6,1,2,5,4,1,1,8,0,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,4,2,5,0,5,1,4,8,1,1,1,2,6,1,3,6,0,0,0,5,1,3,0,1,3,5,1,7,2,8,1,1,9,0,2,6,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,0,4,0,5,3,3,3,3,4,2,2,3,5,2,0,0,2,3,4,1,2,0,4,3,9,0,5,0,4,9,0,5,3,1,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,4,1,4,7,1,2,0,0,9,3,6,0,0,0,0,9,0,0,3,0,6,0,0,0,9,6,2,1,5,4,0,0,5,0,4,9,7,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,2,4,4,7,0,2,0,7,6,3,0,0,3,6,3,4,3,3,0,4,0,0,3,4,2,0,0,3,0,9,9,0,0,5,4,3,4,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,3,2,4,6,0,3,3,4,3,2,4,4,5,0,3,2,0,0,3,2,3,2,0,7,2,5,2,3,4,5,3,2,5,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,7,0,2,7,0,2,0,5,4,2,2,6,4,0,2,0,2,2,3,0,2,3,2,0,9,5,4,0,6,3,0,7,2,0,0,4,5,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,4,1,4,2,3,4,3,4,2,1,5,4,1,0,0,2,2,4,1,1,3,4,2,8,1,6,1,3,8,1,5,4,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,1,4,5,0,7,1,1,7,1,2,5,4,1,4,4,2,1,1,0,6,3,1,1,1,3,5,1,9,0,5,0,4,5,4,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,1,5,2,3,5,1,4,2,5,2,4,3,3,4,2,0,2,2,1,4,2,2,2,2,1,8,5,1,3,5,4,1,2,4,3,1,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,5,2,2,6,0,3,3,6,1,1,4,5,1,0,0,5,2,2,1,3,0,4,3,7,2,7,0,2,9,0,5,2,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,4,0,5,9,0,0,0,4,5,1,2,7,1,0,0,3,5,2,1,2,1,7,1,4,5,6,2,2,7,2,2,5,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,2,8,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +21,1,1,2,5,2,2,2,4,6,0,3,6,3,1,0,2,7,2,0,0,3,1,5,0,2,1,3,5,9,0,4,3,3,9,0,4,5,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,5,0,4,9,0,0,0,7,2,3,3,3,9,0,0,0,0,0,3,3,2,0,2,0,9,9,0,0,2,7,5,0,3,3,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,4,3,0,2,7,1,0,8,1,0,1,2,1,6,2,0,0,9,3,3,3,2,7,3,6,1,0,0,3,3,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,2,2,1,3,1,5,6,3,1,1,4,5,2,6,2,3,0,0,4,2,1,3,4,2,2,0,8,1,6,3,1,5,4,1,4,4,1,1,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,2,6,2,5,3,2,0,0,5,1,3,2,2,3,3,0,6,3,7,1,2,5,4,1,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,2,2,5,6,0,6,0,3,5,2,4,4,5,1,1,1,7,0,0,4,1,3,2,0,1,4,4,1,7,2,5,0,4,5,4,0,5,5,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,3,3,0,5,0,4,9,0,0,0,4,5,2,4,4,0,0,0,4,0,5,0,3,0,6,0,5,4,9,0,0,7,2,4,0,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,2,2,7,4,2,3,3,5,2,1,3,6,0,0,0,2,4,4,0,1,3,5,0,9,0,4,0,5,7,2,3,4,2,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,3,0,5,6,0,3,3,0,6,6,3,0,5,0,0,3,1,1,2,5,3,1,0,8,1,3,2,4,4,5,0,1,8,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,5,0,4,3,0,6,4,2,3,0,0,9,0,0,0,3,4,3,0,0,0,6,3,7,2,2,2,6,9,0,5,4,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,6,2,1,2,7,1,2,3,5,3,1,0,2,2,2,2,1,1,4,2,7,2,7,2,1,5,4,3,2,4,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,6,1,2,2,3,5,2,4,3,3,1,1,3,2,2,3,2,2,3,0,4,5,6,2,1,4,5,2,2,4,1,1,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,6,1,2,7,1,1,2,4,4,2,3,4,2,0,1,5,2,0,2,2,3,3,0,3,6,4,2,4,6,3,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,5,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,0,5,2,2,4,1,5,5,4,1,1,3,5,1,1,0,3,2,5,1,2,2,3,2,8,2,5,1,3,8,1,5,4,1,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,1,0,2,3,5,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,6,0,3,4,0,5,4,4,2,2,4,4,0,4,0,0,5,0,0,0,5,4,0,3,6,5,2,2,5,4,3,3,2,3,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,0,4,1,5,6,2,2,0,4,5,0,4,5,4,0,0,3,3,0,0,4,0,5,0,5,4,6,2,2,8,1,0,0,4,5,0,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +18,2,2,2,4,1,3,1,5,4,2,4,4,4,1,7,2,1,5,1,1,3,1,1,5,3,1,1,1,5,4,6,2,2,3,6,2,2,3,3,1,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,3,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +30,1,2,5,7,0,7,0,2,5,0,4,4,4,2,0,2,7,0,0,0,5,0,5,0,0,3,6,0,5,4,5,2,3,5,4,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,2,2,3,2,2,0,5,3,4,3,3,4,3,6,2,2,6,0,0,2,2,0,6,2,0,2,0,7,2,7,2,0,3,6,2,2,6,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,1,6,0,2,7,0,2,1,4,4,2,3,5,3,0,0,3,2,2,2,1,1,5,2,4,5,6,0,3,7,2,1,4,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,0,0,6,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,4,8,4,3,0,2,6,0,3,3,4,3,0,7,2,2,0,2,4,0,2,2,1,5,2,0,2,7,6,3,0,3,6,0,7,2,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,5,0,4,8,0,1,0,1,8,0,1,8,0,0,0,1,5,4,0,1,1,7,1,9,0,7,2,0,9,0,3,6,1,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,2,6,0,4,5,2,0,0,3,4,2,1,0,2,5,3,5,4,5,1,3,7,2,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,3,4,1,2,1,3,5,4,3,2,1,4,5,1,0,0,3,1,5,1,1,3,4,2,8,1,7,0,2,6,3,5,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,3,3,1,4,6,2,2,2,4,4,2,5,3,3,0,0,4,2,1,2,2,2,4,1,4,5,7,1,2,5,4,4,3,3,1,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,3,2,5,5,4,1,8,0,0,0,1,0,8,0,0,1,0,0,9,9,0,0,4,5,0,6,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,0,4,0,5,7,1,1,1,6,3,4,3,2,4,0,0,3,1,2,4,4,0,2,1,1,8,8,1,1,7,2,2,3,5,0,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,5,1,3,6,1,3,2,4,4,2,2,6,2,0,0,2,3,3,2,1,2,5,1,5,4,6,1,2,6,3,3,4,2,2,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,8,0,1,9,0,0,0,4,5,0,4,5,3,1,2,2,2,1,2,1,4,3,0,3,6,6,2,1,5,4,0,0,7,2,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +3,1,2,4,1,1,4,1,4,7,1,2,0,9,0,0,0,9,4,0,0,2,2,1,0,0,5,4,0,5,5,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,1,1,3,6,8,0,1,1,2,6,2,3,4,2,0,0,3,4,1,2,3,1,4,1,5,4,7,2,0,7,2,1,2,5,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,6,1,1,7,1,2,3,3,4,1,5,4,2,1,0,4,1,3,1,3,2,4,1,4,5,7,1,1,5,4,2,6,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,3,2,4,8,0,1,1,1,8,2,2,5,2,0,0,3,4,1,2,2,0,6,1,1,8,8,1,0,6,3,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,2,4,1,0,4,0,5,7,0,2,2,5,2,4,5,0,9,0,0,0,0,0,9,0,0,0,0,6,3,9,0,0,2,7,0,2,5,2,0,6,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,6,2,2,1,4,5,2,2,5,3,1,1,3,1,3,2,2,2,3,1,4,5,7,1,1,6,3,2,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,3,0,6,6,0,3,0,1,8,5,1,4,4,0,2,3,1,0,0,7,1,2,0,4,5,6,2,2,5,4,5,4,0,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +19,1,2,2,4,3,0,0,6,3,2,5,4,3,3,4,3,3,0,0,0,5,2,2,3,4,0,3,0,4,5,3,2,5,5,4,4,0,3,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,2,5,2,0,0,0,9,7,2,0,2,1,7,2,0,1,3,3,2,2,0,1,4,4,8,1,0,0,9,9,0,4,5,0,0,0,2,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,3,3,1,2,2,0,6,5,2,3,2,4,4,3,6,0,2,2,0,6,0,1,3,2,5,0,0,5,4,6,0,3,5,4,4,2,1,2,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,5,3,2,2,5,0,2,9,0,0,0,0,9,6,3,0,4,0,0,5,0,0,6,3,0,0,0,0,9,7,2,0,4,5,0,3,3,2,2,7,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,0,6,6,0,3,1,3,6,1,5,4,1,0,1,4,3,3,1,1,4,5,0,9,0,5,0,4,5,4,5,4,1,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"No" +8,1,2,4,2,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,0,7,0,2,9,0,0,0,4,5,1,4,5,1,0,2,0,7,0,1,2,0,7,1,4,5,7,2,0,8,1,3,3,4,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,6,0,3,7,0,2,0,3,6,0,3,6,1,1,1,2,3,3,1,0,2,6,0,2,7,7,2,0,7,2,4,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,2,3,3,2,1,1,6,6,1,3,4,3,2,0,2,7,0,0,0,6,3,0,0,2,4,3,0,0,9,7,0,2,6,3,0,0,6,0,3,9,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,4,1,5,5,1,4,3,2,4,0,1,8,1,0,0,1,0,8,0,0,1,5,3,8,1,6,1,3,7,2,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,4,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,0,0,4,5,0,2,7,6,2,2,0,6,3,0,0,0,3,0,6,0,0,5,2,3,7,2,2,0,7,9,0,9,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,0,5,7,2,0,0,4,5,1,6,3,2,0,0,3,2,3,1,2,4,4,0,8,1,9,0,0,6,3,1,2,6,1,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,6,0,3,3,0,6,1,4,4,0,2,7,2,0,0,2,4,4,1,0,1,4,4,9,0,5,0,4,5,4,3,6,1,0,0,3,2,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,3,3,9,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,1,5,0,2,2,6,4,2,4,2,5,3,1,4,5,0,0,0,4,3,3,0,1,2,6,0,9,0,4,0,5,8,1,4,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,1,4,7,0,3,1,5,5,2,3,9,0,0,0,3,6,5,0,0,0,0,5,0,2,3,0,5,5,4,6,1,2,8,1,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,4,6,0,9,0,0,5,0,4,3,3,4,1,2,7,2,0,0,2,4,3,1,0,1,6,2,3,6,7,1,1,9,0,5,3,1,1,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,1,5,4,3,2,3,5,2,1,5,4,1,0,0,6,1,3,1,4,1,4,1,5,4,7,1,2,7,2,2,3,4,1,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,4,1,4,8,1,1,0,0,9,0,5,4,3,0,0,0,0,6,0,0,5,4,0,3,6,7,2,1,3,6,0,0,0,9,0,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,2,0,6,0,0,0,0,0,0,0,0,0,0,7,6,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,2,10,0,6,0,3,6,3,0,0,5,4,1,7,2,3,0,3,3,0,1,4,2,2,2,0,0,9,4,5,0,3,6,0,4,4,2,0,5,3,0,0,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,8,2,3,4,3,3,1,4,3,2,5,4,4,2,3,5,2,3,1,0,5,1,2,3,3,3,2,1,4,5,5,1,4,3,6,2,4,3,2,1,5,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,9,0,0,9,0,0,0,3,6,0,3,6,4,0,0,0,3,3,0,3,0,6,0,0,9,6,2,2,6,3,3,4,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,2,3,2,3,1,2,2,5,7,2,1,1,4,5,4,5,1,3,0,0,5,2,1,5,3,1,2,0,7,2,7,1,2,5,4,1,4,5,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,1,4,1,4,6,1,3,2,4,4,1,3,6,1,1,1,2,4,2,1,2,2,4,1,4,5,5,2,3,7,2,3,4,2,1,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,3,1,6,6,3,0,1,1,7,0,0,1,3,5,2,0,2,1,6,1,4,5,2,0,7,9,0,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,5,1,4,8,1,0,0,1,8,0,4,5,0,0,0,5,2,2,0,2,3,5,0,2,7,5,4,0,9,0,1,7,2,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,4,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +31,1,3,4,7,0,3,0,6,7,0,2,2,4,4,0,3,6,4,0,0,0,3,3,3,0,3,3,2,9,0,4,2,3,9,0,3,4,2,1,0,3,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,0,5,9,0,0,0,1,8,1,2,7,1,0,0,2,4,2,1,1,2,6,1,6,3,8,1,1,7,2,2,4,4,1,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,4,8,0,6,0,3,7,0,2,0,3,6,0,3,6,2,1,2,1,3,3,1,0,4,5,0,1,8,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,4,2,3,5,2,3,2,3,6,2,4,4,2,1,1,3,2,2,1,1,5,2,1,1,8,6,2,2,6,3,2,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,3,8,1,1,1,3,5,1,4,5,1,1,3,2,3,1,2,1,3,4,0,2,7,5,4,0,6,3,3,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,7,0,1,6,0,3,2,4,4,4,4,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,4,4,0,2,9,0,0,3,4,3,4,3,3,5,0,0,1,1,3,3,2,0,1,4,3,6,4,4,2,7,2,0,4,1,1,4,9,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,5,0,4,4,3,3,0,3,6,0,0,2,0,3,5,0,3,0,6,0,0,9,3,2,4,7,2,6,3,0,0,0,2,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,3,5,1,5,0,4,4,4,2,2,4,4,1,1,0,3,2,4,2,1,3,3,2,7,2,6,1,2,6,3,0,2,4,3,0,6,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,4,2,2,0,6,0,3,9,0,0,0,1,8,4,5,1,5,1,0,2,2,1,5,2,2,2,1,0,9,8,1,0,3,6,0,3,5,2,0,5,8,2,0,0,6,0,0,0,0,0,0,0,6,2,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" +27,1,3,3,6,2,5,2,1,7,0,2,2,2,6,1,5,3,2,1,1,3,2,3,2,1,5,3,0,3,6,7,1,2,4,5,1,3,6,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"Yes" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,0,5,0,4,9,0,0,0,3,6,0,4,5,0,0,0,4,5,0,0,0,4,5,0,3,6,7,1,1,5,4,2,7,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,9,0,0,0,5,4,0,2,7,1,0,2,1,5,2,1,1,2,4,3,5,4,8,1,0,8,1,4,3,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,3,1,5,6,1,3,2,3,4,2,3,5,3,0,0,2,3,2,2,2,2,4,2,5,4,5,1,3,7,2,3,2,4,1,0,4,6,0,0,0,7,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,2,1,5,6,2,2,2,3,5,2,4,4,2,1,0,4,2,2,2,2,2,4,1,6,3,6,1,3,5,4,2,3,3,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +25,1,2,3,6,0,5,2,2,4,2,4,4,4,3,1,3,5,2,1,0,3,2,3,2,2,1,3,2,6,3,6,1,3,8,1,4,3,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,4,0,5,5,2,2,2,3,4,0,1,8,2,0,0,1,4,4,1,1,2,3,4,8,1,4,0,5,8,1,5,4,1,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,2,5,1,2,7,0,2,2,2,6,2,2,5,2,1,0,2,3,3,2,1,1,5,2,5,4,5,4,0,7,2,4,5,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,7,2,0,9,0,0,4,3,2,1,6,3,1,0,0,3,3,4,1,1,3,5,1,8,1,7,0,2,7,2,1,4,3,3,0,6,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,7,0,2,1,4,5,1,4,4,4,1,2,2,2,0,3,1,4,2,1,2,7,5,4,0,6,3,3,2,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,2,0,3,5,2,6,2,2,5,3,0,5,4,0,0,0,3,3,4,0,2,2,5,2,9,0,7,0,2,9,0,4,2,2,2,0,4,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +12,2,3,2,3,0,6,0,3,7,2,0,3,3,4,3,3,4,1,0,0,5,4,1,0,5,1,4,0,0,9,9,0,0,5,4,3,4,3,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,2,3,2,1,4,0,5,5,1,3,3,3,4,2,4,3,2,1,0,4,1,2,2,2,2,3,1,4,5,5,2,3,5,4,3,2,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,5,1,3,7,0,2,0,0,9,1,3,5,3,0,0,2,3,3,3,0,2,4,1,2,7,6,3,0,6,3,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,3,1,6,8,1,1,1,2,6,1,3,6,0,0,0,3,5,2,0,1,2,6,1,6,3,6,2,2,9,0,2,7,1,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,6,0,3,5,1,4,2,3,5,0,1,8,1,0,0,3,2,5,1,1,2,5,2,7,2,4,0,5,8,1,3,3,1,3,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,6,0,2,5,3,2,2,6,2,2,5,3,2,2,0,2,3,2,2,1,2,4,2,3,7,5,2,3,6,3,3,4,2,2,0,4,5,2,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,2,9,1,5,0,3,7,1,2,0,0,9,0,4,5,0,0,0,6,3,0,0,4,0,5,0,2,7,6,2,2,6,3,0,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,6,2,3,6,0,3,0,3,6,1,6,3,2,0,0,5,2,2,2,2,4,2,0,7,2,7,0,2,6,3,3,3,3,1,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,2,4,5,0,0,0,9,2,3,5,4,2,4,1,3,5,1,0,0,3,0,5,1,2,2,5,0,9,0,4,0,5,7,2,6,2,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,3,2,0,5,2,3,5,0,4,3,3,4,6,2,3,5,0,0,0,0,4,4,2,0,3,0,3,6,3,0,6,3,6,3,0,4,0,3,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,3,8,0,4,4,2,6,0,3,7,1,1,5,4,0,2,0,0,1,0,7,2,7,0,0,0,0,9,5,4,0,3,6,0,1,8,0,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,1,4,1,5,6,1,3,5,0,4,0,0,9,0,0,0,0,4,5,0,0,0,9,0,5,4,6,1,3,6,3,4,3,2,1,1,3,3,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,6,0,3,5,2,2,2,2,5,0,2,7,0,0,0,2,7,0,0,0,0,9,0,2,7,9,0,0,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"Yes" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,4,8,0,6,2,3,6,0,3,0,5,4,1,5,4,1,0,0,4,1,4,1,2,3,4,0,5,4,7,0,2,6,3,2,3,4,2,0,5,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,2,7,0,0,9,0,0,0,2,7,5,3,2,7,2,0,0,0,0,6,0,2,2,0,0,9,9,0,0,2,7,2,3,2,2,2,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,2,1,4,0,4,3,3,2,3,5,5,4,1,7,2,1,2,0,0,0,2,6,2,2,5,1,1,8,1,3,0,6,6,3,8,1,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,4,3,2,0,2,6,4,0,6,5,3,2,1,6,3,7,0,0,2,0,0,3,1,2,4,1,8,1,5,0,4,8,1,3,2,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +38,1,3,2,9,0,3,1,5,8,0,1,1,2,7,2,3,5,2,0,0,2,3,3,2,0,2,5,1,9,0,7,0,2,9,0,3,6,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +39,1,3,3,9,2,7,1,0,7,0,2,0,2,7,4,2,4,4,0,0,0,2,4,4,0,2,2,3,1,8,7,2,0,5,4,2,3,2,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +9,1,2,3,3,2,3,2,4,5,4,1,2,4,4,2,4,4,2,1,1,5,1,2,3,1,3,2,2,3,6,7,2,1,7,2,2,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,2,0,0,0,0,0,0,0,3,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,6,2,5,6,0,6,1,3,5,1,4,3,4,2,1,4,5,3,0,1,3,1,3,2,2,2,4,0,6,3,6,0,3,5,4,5,2,3,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,3,9,0,5,0,4,3,2,5,4,3,3,2,4,4,2,1,0,5,1,2,2,2,3,3,1,8,1,4,1,5,8,1,5,4,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,2,4,6,1,3,2,2,6,3,4,3,1,1,0,3,2,4,1,2,2,4,1,8,1,7,1,2,8,1,2,6,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,7,1,2,8,1,1,1,3,6,1,4,5,2,1,2,2,3,1,2,1,3,4,0,1,8,5,4,1,5,4,2,3,4,1,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,1,6,3,0,6,3,3,0,0,6,1,1,3,2,1,4,1,9,0,5,3,3,9,0,5,3,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,4,3,0,2,4,4,7,0,2,4,0,5,4,0,5,2,0,0,4,1,3,0,0,5,3,3,9,0,7,0,2,6,3,6,0,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,3,3,1,2,3,2,4,5,1,3,2,4,4,3,5,1,4,1,0,3,2,1,2,3,2,4,0,1,8,3,0,6,6,3,2,1,5,2,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,1,4,2,3,7,1,2,2,3,4,1,3,5,1,1,1,2,3,3,2,2,2,4,1,4,5,6,2,2,7,2,1,4,4,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,3,2,3,4,3,1,8,1,0,5,4,0,0,0,5,3,1,0,5,1,4,0,8,1,4,1,5,9,0,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,3,9,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,4,5,1,3,1,5,5,1,4,3,4,3,0,2,8,0,0,0,1,4,4,0,1,1,5,3,8,1,5,0,4,7,2,6,3,1,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,0,5,3,0,6,6,2,2,1,1,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +6,1,3,2,2,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,1,7,0,2,1,2,6,4,3,2,5,1,0,2,1,1,5,2,1,2,0,2,7,6,3,1,4,5,1,2,6,2,0,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,3,10,0,6,2,2,6,0,3,3,2,5,0,3,6,0,0,9,0,0,0,3,0,2,0,4,0,9,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,1,4,0,5,8,1,1,1,5,4,1,2,7,2,0,3,1,2,3,1,1,4,2,3,3,6,6,1,3,4,5,7,1,2,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,2,0,0,7,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,3,0,6,7,2,0,0,4,5,4,4,2,3,3,0,4,0,0,3,3,2,2,0,5,4,7,2,0,2,7,0,2,6,2,0,6,7,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,2,3,7,0,2,0,2,7,0,2,7,0,0,2,4,0,3,0,0,5,4,0,0,9,7,0,2,9,0,3,6,0,0,0,3,3,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,3,5,0,2,6,0,3,2,0,7,0,4,5,3,0,0,0,3,3,3,0,2,5,0,2,7,2,5,3,6,3,2,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +23,1,1,2,5,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +39,1,3,3,9,1,4,2,3,7,1,2,2,4,4,2,4,4,2,1,1,3,2,3,2,2,3,4,1,8,1,6,0,3,6,3,3,4,3,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,9,0,0,5,0,4,0,5,4,0,0,9,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,9,0,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,1,2,6,1,3,5,4,1,1,5,4,3,1,1,2,3,1,2,2,2,3,2,6,3,6,0,3,6,3,3,5,2,1,0,3,1,1,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,6,0,3,6,0,3,3,1,6,0,1,8,0,2,1,0,6,0,1,0,2,7,0,3,6,5,2,3,8,1,8,1,1,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,0,7,0,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,2,3,0,6,1,3,7,1,2,1,2,7,1,3,6,0,0,0,3,2,4,0,1,3,5,1,8,1,7,1,1,9,0,2,3,4,0,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,1,2,1,2,6,3,4,3,2,5,3,1,0,0,5,2,2,1,4,2,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,5,3,8,0,6,2,2,6,0,3,3,0,6,0,3,6,0,0,0,2,7,0,0,0,0,9,0,6,3,4,0,5,9,0,5,2,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,2,1,6,6,2,2,0,2,7,5,4,0,0,0,0,5,3,2,0,4,5,0,0,7,2,5,1,4,7,2,2,2,2,5,0,7,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,6,0,3,4,0,5,3,4,3,0,4,5,2,0,0,2,4,3,1,0,2,4,3,9,0,5,0,4,5,4,6,2,1,0,0,2,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,4,3,3,0,7,2,2,5,2,3,0,4,5,3,3,3,3,0,0,3,3,2,0,3,3,4,0,5,4,6,2,2,7,2,2,2,6,1,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,4,6,0,0,0,0,5,4,0,0,6,0,0,5,0,0,0,0,0,0,0,1,2,0,0,0,0,2,3,0,0,1,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,4,8,0,5,1,4,6,1,3,2,4,3,1,3,6,2,0,1,4,3,2,1,2,2,4,2,4,5,4,0,5,7,2,5,2,2,1,1,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,3,7,0,2,3,4,6,0,3,2,0,7,0,3,6,0,0,0,3,3,4,0,2,0,7,0,9,0,7,0,2,9,0,2,5,3,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,"No" +34,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,2,1,1,5,0,2,4,4,2,2,5,5,4,0,0,7,2,0,0,0,7,0,2,0,5,0,4,0,9,0,7,0,2,9,0,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +2,1,3,3,1,0,5,4,1,9,0,0,1,2,6,5,4,1,5,4,0,0,1,0,8,1,1,0,1,1,8,5,4,0,0,9,3,0,3,4,0,6,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,5,1,3,5,0,4,3,2,5,0,3,6,1,0,2,0,4,3,2,1,3,4,1,1,8,5,2,3,6,3,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,5,1,3,7,1,2,2,4,3,2,3,5,1,2,0,2,4,3,2,2,2,4,2,3,6,9,0,0,5,4,2,4,3,2,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,4,4,2,3,2,4,4,4,2,0,2,7,0,0,0,1,3,5,0,1,3,6,1,9,0,6,0,3,7,2,6,3,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,3,1,5,6,0,3,2,3,5,0,4,5,2,0,0,4,4,1,1,0,2,4,3,5,4,5,1,3,7,2,4,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,5,2,2,5,4,0,2,7,0,0,4,5,0,0,0,7,2,0,0,4,0,5,0,0,9,5,0,4,9,0,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,2,2,2,5,5,1,4,3,4,3,0,6,3,1,0,0,4,3,2,1,2,4,3,0,3,6,5,1,3,8,1,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" +13,1,3,2,3,1,5,1,3,8,1,1,1,3,6,4,4,2,4,1,0,3,1,1,3,2,3,2,0,1,8,7,1,1,4,5,1,3,4,2,1,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,2,3,2,3,1,1,1,7,5,1,4,0,0,9,0,5,5,0,0,0,5,0,5,0,4,0,5,0,0,9,5,1,3,7,2,0,5,5,0,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,5,1,4,4,1,5,0,2,7,0,0,0,1,2,6,0,0,2,5,2,6,3,6,1,2,8,1,2,6,0,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,3,8,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,6,1,2,1,2,6,3,5,1,2,6,2,1,0,0,4,1,3,1,3,4,2,0,9,0,5,1,3,5,4,3,2,5,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,4,2,3,3,2,4,0,0,9,3,0,0,0,0,6,2,0,0,3,4,5,5,5,2,3,9,0,3,2,4,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,2,2,5,7,0,2,0,2,7,0,4,5,0,0,0,0,9,0,0,0,0,9,0,9,0,5,0,4,9,0,4,5,0,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,4,0,5,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,2,4,2,3,7,0,2,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,7,2,2,4,3,0,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,0,3,1,6,8,1,0,0,4,5,6,3,1,5,0,2,3,1,0,5,2,2,1,0,1,8,6,3,0,1,8,1,1,2,6,0,7,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,0,2,7,0,2,0,7,2,0,2,7,0,1,0,4,4,1,0,1,1,5,3,3,6,8,1,0,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,6,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,3,0,6,7,0,2,0,3,6,2,1,7,0,0,2,0,6,2,1,0,2,4,3,5,4,7,0,2,7,2,3,3,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,1,3,4,0,5,1,4,1,1,8,7,1,2,4,4,2,4,0,0,4,2,1,3,3,1,3,0,9,0,5,1,4,4,5,6,2,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +10,1,3,3,3,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,3,5,1,4,2,3,6,2,2,2,4,3,1,2,6,1,0,0,3,2,4,1,1,1,6,2,9,0,7,2,2,8,1,3,3,3,1,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,4,5,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,5,1,4,7,1,2,1,5,3,6,2,2,6,1,0,1,1,1,6,1,1,2,1,2,7,7,1,1,2,7,2,4,4,1,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,5,2,3,0,2,7,1,7,2,2,0,0,4,0,4,2,1,6,2,0,4,5,7,2,0,6,3,4,5,1,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +21,2,2,4,5,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +13,1,3,3,3,2,6,0,2,6,0,3,3,4,3,1,4,5,2,0,0,5,0,3,1,3,1,2,4,7,2,9,0,0,3,6,4,1,5,1,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,0,4,2,4,4,2,5,5,2,3,2,5,3,2,0,0,5,0,3,2,2,4,2,0,5,4,5,2,4,5,4,0,3,2,5,0,7,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,1,5,1,4,6,1,3,2,1,6,3,3,4,2,0,0,5,1,2,2,2,3,4,0,1,8,7,2,0,7,2,1,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,3,6,3,5,1,3,1,0,4,1,2,3,3,2,2,1,1,8,7,0,2,5,4,1,3,5,1,1,5,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,5,0,3,9,0,0,0,3,6,2,5,3,2,0,0,4,2,2,2,2,3,4,0,3,6,7,2,0,6,3,2,0,7,0,0,5,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,5,0,4,8,1,0,1,1,8,1,0,1,3,1,3,1,1,1,1,7,9,0,5,0,4,9,0,3,5,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,3,7,1,6,1,3,4,1,5,3,3,4,0,5,4,1,1,1,5,1,3,1,1,5,3,1,4,5,4,2,4,7,2,6,3,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,6,2,1,0,3,6,0,6,3,3,0,5,2,0,0,2,4,4,0,0,0,9,6,1,2,6,3,0,7,0,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +16,1,1,5,4,1,4,0,5,2,2,5,5,3,1,4,1,5,0,0,0,6,0,3,0,1,3,5,0,3,6,0,0,9,6,3,9,0,0,0,0,1,1,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,4,6,2,1,1,5,3,0,3,6,1,0,0,4,3,2,1,1,2,6,0,6,3,6,0,3,5,4,2,2,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,"Yes" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,5,2,3,0,6,3,1,7,1,2,0,3,6,0,3,6,0,0,0,3,4,3,0,2,3,4,2,2,7,7,1,2,6,3,2,2,5,0,0,4,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +31,1,2,3,7,3,5,0,2,9,0,0,0,6,3,3,5,2,2,0,0,7,0,1,1,2,4,3,0,5,4,7,2,0,7,2,2,4,2,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,2,3,0,5,5,1,4,3,2,4,2,5,2,3,0,0,5,2,1,3,3,1,2,1,7,2,7,1,2,5,4,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,2,3,1,5,6,1,3,0,6,3,4,4,2,6,1,0,2,0,2,4,2,0,3,2,2,7,5,2,2,3,6,0,4,3,2,2,6,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +24,1,2,3,5,0,4,2,3,5,1,3,2,4,3,0,3,6,1,0,1,2,2,5,1,1,2,5,3,8,1,6,1,3,6,3,4,4,1,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,2,0,7,6,0,3,5,3,2,4,4,2,7,0,0,0,2,0,5,0,4,1,0,0,9,9,0,0,2,7,1,3,6,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,4,1,4,6,1,3,1,5,4,1,5,3,1,0,1,4,2,3,1,3,4,2,1,2,7,4,0,5,7,2,2,3,3,1,1,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,"No" +32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,4,2,3,2,4,1,3,7,1,1,1,2,6,3,4,2,3,0,0,4,2,1,3,3,3,2,0,2,7,9,0,0,5,4,2,3,5,0,0,4,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +26,3,2,4,6,0,3,0,6,5,0,4,4,4,2,0,0,9,0,0,0,0,7,2,0,0,0,5,4,7,2,5,0,4,9,0,6,2,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +40,1,2,4,10,1,6,0,3,6,1,2,2,3,5,4,6,0,0,4,6,0,0,0,4,5,0,0,0,3,6,6,3,1,5,4,0,6,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +38,1,3,3,9,1,6,2,2,7,1,2,0,3,6,0,0,9,0,0,0,3,6,0,0,0,0,9,0,0,9,7,1,2,7,2,0,9,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +34,1,4,3,8,0,7,1,1,7,0,2,0,0,9,0,4,5,1,0,0,4,0,5,0,3,1,5,0,0,9,5,2,2,4,5,0,0,1,8,0,9,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,7,1,1,1,4,4,1,4,4,1,0,2,4,3,1,3,2,2,4,0,2,7,5,4,0,7,2,4,4,2,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +37,1,4,3,8,3,5,1,2,8,1,0,0,0,9,0,9,0,0,0,0,4,0,5,0,3,4,3,0,0,9,5,1,3,6,3,0,3,3,3,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,2,3,0,5,6,2,2,0,5,4,3,6,0,0,0,0,4,3,3,5,2,0,2,0,0,9,6,1,2,3,6,0,0,3,4,3,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,6,1,2,1,4,5,4,1,5,2,0,0,3,3,2,3,1,5,2,0,3,6,7,0,2,8,1,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,1,4,0,4,6,0,3,3,5,2,2,3,4,4,0,0,3,2,2,3,1,3,2,3,3,6,7,1,2,3,6,4,0,4,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,6,2,2,4,2,4,4,3,2,2,5,2,2,0,0,3,3,3,2,3,3,3,0,8,1,4,3,3,7,2,3,4,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,1,5,5,2,2,2,4,4,1,5,4,2,0,0,4,3,1,1,3,1,5,1,8,1,6,2,2,8,1,2,5,2,1,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +9,1,4,3,3,0,3,0,6,7,0,2,1,1,7,1,4,4,1,0,0,5,0,4,1,3,2,4,0,8,1,5,1,3,8,1,1,5,4,0,0,4,4,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,1,4,6,1,3,3,1,6,4,2,4,3,0,0,5,2,1,3,3,1,4,0,1,8,7,0,2,8,1,1,6,3,0,0,4,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,0,4,0,5,8,1,1,1,4,5,5,3,1,6,0,0,2,1,1,5,1,4,1,1,9,0,7,0,2,4,5,1,2,6,0,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,2,2,7,0,2,1,4,5,1,4,4,2,0,0,2,3,4,0,2,3,4,1,3,6,7,2,0,6,3,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,3,2,4,6,1,2,2,3,5,1,3,6,1,0,0,3,3,3,1,1,3,5,2,7,2,5,1,3,7,2,3,5,2,1,0,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,3,0,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,"No" +38,1,3,4,9,0,7,0,2,3,1,6,4,2,4,0,1,8,1,0,0,1,3,5,1,1,1,4,4,8,1,3,0,6,8,1,6,2,2,1,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,5,4,0,9,0,0,1,6,3,4,3,2,6,0,0,2,2,0,5,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,2,2,2,4,6,0,3,3,4,3,0,3,6,1,0,0,4,2,4,0,1,2,4,3,9,0,4,3,3,9,0,1,8,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,2,4,4,0,5,0,4,3,4,2,2,3,5,3,0,0,1,2,5,2,0,3,5,0,3,7,5,2,2,7,2,1,5,4,0,0,4,2,2,0,0,6,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,4,2,4,7,1,2,3,4,3,2,6,1,5,0,0,3,1,0,4,2,2,3,0,7,2,7,1,1,8,1,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +28,7,2,6,6,0,6,2,2,9,0,0,4,2,4,2,1,6,5,2,0,0,3,0,2,1,4,0,4,4,5,6,3,0,0,9,7,0,1,2,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,9,0,0,0,3,6,0,4,5,2,0,0,2,5,0,2,2,1,6,0,0,9,7,2,0,4,5,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +32,1,3,3,7,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,1,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,3,2,1,5,0,3,7,1,2,3,3,4,0,5,4,3,0,0,0,5,2,0,4,3,0,2,0,9,6,2,2,6,3,0,5,3,2,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,4,2,4,5,2,3,3,5,2,2,4,3,3,1,1,4,2,1,2,3,2,3,1,6,3,6,1,2,7,2,2,3,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,8,0,1,7,0,2,0,1,8,0,7,2,5,0,0,3,2,1,3,3,1,2,3,2,7,6,3,0,2,7,2,3,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,2,4,7,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,3,6,1,0,0,4,3,2,1,1,3,6,1,4,5,6,3,0,8,1,3,3,4,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,4,2,6,0,6,1,2,7,1,2,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,2,3,6,3,9,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,3,3,4,6,3,1,1,5,3,2,4,3,1,0,1,6,1,2,1,3,3,2,1,2,7,4,0,5,7,2,3,3,2,2,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,3,2,4,7,1,2,2,3,5,1,7,1,4,0,0,5,1,1,2,3,4,1,0,6,3,7,1,2,4,5,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,1,2,4,8,0,1,3,6,6,0,3,3,3,3,0,1,8,1,1,0,1,8,1,1,1,0,8,1,9,0,5,2,3,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +8,1,3,3,2,0,9,0,0,7,0,2,2,3,5,4,3,3,4,0,0,3,2,2,2,2,3,3,0,0,9,9,0,0,3,6,2,0,4,4,0,7,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,4,0,5,3,0,6,6,2,2,1,2,7,0,0,0,0,5,4,0,0,0,6,3,9,0,5,0,4,9,0,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,0,5,2,2,6,1,2,2,3,4,3,1,6,2,0,0,3,3,2,2,1,2,5,0,2,7,7,0,2,8,1,2,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,3,9,0,6,1,3,7,1,2,1,1,8,0,2,7,1,0,0,1,5,3,1,1,1,7,1,6,3,6,1,2,9,0,1,7,2,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,1,4,7,1,2,1,4,5,1,6,3,4,1,0,4,1,1,3,2,3,1,2,6,3,7,1,2,5,4,5,3,1,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,2,4,3,3,1,5,1,4,7,1,2,0,0,9,2,0,7,0,0,0,3,0,6,0,2,0,7,0,0,9,6,2,1,4,5,0,3,5,2,0,5,8,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,4,0,0,0,0,0,3,0,0,0,0,0,0,6,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,"No" +38,1,3,3,9,3,4,2,2,9,0,0,3,4,3,3,4,3,2,0,0,3,1,5,2,4,1,3,0,0,9,7,2,0,9,0,0,5,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,3,3,2,1,5,1,4,7,1,2,1,4,5,4,4,2,4,0,1,3,1,2,4,2,2,3,0,4,5,6,2,1,4,5,1,2,6,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,3,3,1,0,5,0,4,6,0,3,0,3,6,4,2,4,4,0,0,2,4,0,4,0,2,4,0,0,9,4,5,0,5,4,0,3,6,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,3,9,0,4,0,5,7,2,0,0,4,5,0,0,9,0,0,0,2,4,4,0,0,0,7,2,5,4,8,0,1,8,1,2,4,4,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,"No" +13,1,2,4,3,1,2,2,6,9,0,0,2,4,4,0,4,5,1,0,0,4,4,2,1,2,2,5,1,8,1,8,1,0,5,4,3,3,2,2,1,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,7,2,0,0,5,0,4,0,0,0,0,0,6,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +34,2,2,4,8,0,3,2,5,5,2,3,3,5,3,0,3,6,1,0,5,1,3,2,1,2,4,3,2,5,4,4,5,1,7,2,2,5,1,2,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,2,1,6,6,0,5,2,2,2,0,7,7,2,0,0,2,7,3,0,0,2,2,3,0,0,4,3,3,9,0,4,0,5,9,0,9,0,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,1,2,2,5,6,0,3,3,2,5,4,5,1,2,4,0,3,2,0,5,2,2,2,0,8,1,5,1,3,3,6,2,2,3,4,0,6,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,3,3,5,3,2,1,5,3,1,6,0,5,4,3,4,2,0,1,0,3,2,4,5,0,0,4,0,4,5,2,0,7,9,0,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,1,4,1,0,6,3,0,6,0,3,6,3,0,3,5,1,0,0,0,3,0,6,1,2,6,1,0,8,1,6,0,3,6,3,5,0,4,0,0,3,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,7,2,0,7,0,2,0,3,6,0,2,7,0,0,0,8,0,1,0,0,2,5,2,5,4,5,2,2,7,2,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,3,6,0,0,0,0,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,1,5,1,3,6,1,2,0,3,6,4,3,3,2,0,0,1,1,7,1,3,4,2,0,0,9,7,2,1,5,4,0,3,1,2,4,8,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +8,1,2,3,2,2,4,2,4,4,0,5,5,1,3,3,4,3,2,0,0,6,0,2,2,4,1,3,0,6,3,7,2,0,4,5,2,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,3,2,4,7,1,2,1,4,4,2,6,2,2,0,0,5,2,1,2,4,2,3,0,6,3,7,1,2,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,4,3,1,2,5,2,1,8,0,1,1,1,8,6,3,1,7,1,0,1,1,1,7,1,1,1,0,1,8,5,4,1,2,7,1,1,7,1,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,4,5,1,0,9,0,0,3,4,3,3,4,3,7,0,0,1,1,0,3,1,4,3,0,0,9,5,4,0,0,9,0,0,6,3,0,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,5,0,4,5,0,4,4,2,4,2,3,5,4,2,0,0,3,0,2,1,4,3,0,0,9,5,3,2,6,3,4,2,3,0,0,3,6,2,4,0,0,6,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,1,3,3,8,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,1,4,8,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,2,5,3,3,8,0,0,1,6,2,3,0,0,9,0,9,0,2,0,0,3,3,3,0,4,5,0,0,0,9,5,3,2,6,3,2,3,3,2,0,5,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,4,1,5,7,1,2,2,2,6,1,3,6,0,0,0,3,2,4,0,1,2,5,2,7,2,6,2,2,9,0,4,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,4,7,1,5,1,3,8,1,1,2,5,3,2,3,5,1,1,1,5,3,1,1,1,3,5,1,4,5,7,0,2,5,4,2,3,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,4,7,0,7,0,2,9,0,0,0,4,5,0,5,4,2,0,1,2,6,0,2,2,1,6,0,3,6,7,2,0,9,0,4,3,3,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,4,0,2,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,5,0,3,9,0,0,1,3,5,7,2,0,9,0,0,0,0,0,6,2,1,0,0,0,9,7,2,0,2,7,1,2,3,4,1,7,8,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,2,7,0,5,0,4,5,1,3,3,2,5,1,4,4,2,1,0,3,3,2,1,2,2,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,2,0,0,6,0,5,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,6,2,1,2,5,2,3,2,3,5,4,3,2,3,0,1,4,2,2,3,3,1,4,0,6,3,5,3,1,4,5,1,3,4,2,1,6,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +25,1,2,5,6,0,5,0,4,2,2,5,3,6,0,1,4,5,4,0,0,2,2,2,1,2,4,2,2,9,0,5,0,4,9,0,6,2,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,1,4,1,4,6,0,3,0,1,8,0,3,6,3,0,1,0,0,6,1,2,1,4,3,0,9,6,1,2,6,3,0,4,5,0,0,5,4,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,"No" +5,1,3,3,1,2,3,1,4,6,1,2,1,4,5,1,6,2,2,1,0,6,1,2,1,3,2,2,3,7,2,6,1,2,6,3,2,6,2,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,3,4,2,6,0,3,3,3,4,0,5,4,2,0,0,2,1,6,0,1,4,2,3,2,7,6,0,3,7,2,1,3,5,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,1,3,6,0,3,4,3,3,1,3,5,2,1,0,3,3,2,1,1,2,5,2,5,4,6,0,3,6,3,3,3,2,1,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,5,2,2,1,5,1,3,6,1,3,0,1,8,0,1,8,8,0,1,1,0,1,0,1,8,1,0,1,8,6,1,2,6,3,0,0,9,0,0,5,8,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,4,8,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +20,1,2,3,5,2,2,0,5,4,2,4,3,3,4,3,5,2,3,1,0,4,1,2,3,2,3,2,1,7,2,4,2,4,5,4,0,2,4,3,2,7,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +15,3,1,4,4,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,0,0,0,6,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,3,3,0,5,1,4,5,2,3,2,3,4,1,3,5,2,1,0,2,4,3,2,1,2,6,1,5,4,6,2,2,7,2,2,4,4,1,0,4,6,0,2,4,6,0,0,0,0,6,0,0,0,0,0,0,6,0,0,0,0,0,0,1,1,1,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +16,1,1,2,4,2,4,1,4,1,1,7,7,2,1,3,5,1,5,2,1,2,1,1,2,1,4,3,0,7,2,1,0,8,4,5,7,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,4,2,4,7,1,2,2,5,3,0,2,7,2,0,1,2,4,2,1,1,1,7,1,6,3,6,1,2,7,2,6,3,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,5,1,4,8,1,0,0,4,5,1,3,6,2,0,5,1,2,0,2,1,6,2,0,2,7,7,2,0,3,6,5,2,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,4,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +38,1,3,3,9,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,0,6,0,3,9,0,0,0,3,6,0,9,0,2,0,2,4,2,0,3,2,3,2,0,0,9,9,0,0,4,5,2,2,6,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,4,3,1,5,2,2,6,1,2,2,5,3,1,1,7,1,1,1,3,3,2,1,2,2,5,1,3,6,6,2,2,7,2,4,3,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,4,10,0,6,0,3,7,0,2,0,5,4,2,2,6,3,0,5,0,2,0,2,1,4,3,0,2,7,6,2,2,5,4,0,3,6,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,2,7,1,3,2,5,5,2,2,3,2,5,1,2,7,1,0,0,3,4,3,1,1,1,6,2,8,1,7,1,2,8,1,3,5,2,1,1,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,7,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,4,1,5,7,1,2,4,2,3,1,3,6,0,0,0,2,2,6,0,1,1,5,2,6,3,6,2,2,9,0,4,3,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,7,0,2,5,0,4,3,5,2,1,4,4,2,0,4,3,2,0,2,1,4,2,2,3,6,4,2,3,4,5,4,3,0,2,0,4,4,0,0,3,6,0,4,0,0,5,0,3,6,0,0,0,6,0,0,1,0,0,0,0,1,1,0,1,0,0,2,0,1,1,0,0,0,1,0,0,1,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,2,5,0,4,2,4,0,5,4,2,5,3,0,4,5,0,0,0,2,4,4,0,0,4,4,2,9,0,7,0,2,9,0,4,2,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,3,1,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,6,2,0,0,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,2,2,7,1,5,1,2,6,2,2,1,5,4,1,6,3,1,0,0,5,3,2,1,4,2,3,1,2,7,8,0,1,6,3,2,5,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,3,3,1,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,3,2,0,4,6,1,2,0,4,5,0,0,9,0,0,0,2,0,7,0,0,0,0,9,9,0,7,0,2,3,6,2,2,2,2,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,1,5,1,3,7,0,2,2,5,3,2,3,4,2,0,0,3,4,2,1,1,3,5,0,7,2,6,1,2,6,3,2,5,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,3,4,0,3,6,0,3,3,2,5,0,5,4,0,0,0,4,5,0,0,0,5,4,0,0,9,9,0,0,5,4,2,7,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,0,6,0,3,3,1,5,3,3,3,2,3,5,3,1,1,2,2,3,2,1,3,3,2,3,6,6,1,2,6,3,3,4,2,1,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,5,0,4,9,0,0,0,0,9,0,4,5,0,2,0,0,7,0,2,0,0,7,0,7,2,4,5,0,7,2,4,2,2,2,0,4,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,2,1,7,3,5,2,2,6,2,0,4,5,0,0,0,4,2,4,0,2,3,5,0,6,3,5,1,4,9,0,2,6,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,6,1,2,7,1,2,0,3,6,4,2,4,4,0,1,0,2,3,4,0,2,3,2,2,7,7,2,0,5,4,2,2,3,3,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +31,1,4,3,7,0,3,0,6,9,0,0,0,5,4,0,1,8,1,0,0,4,1,5,0,1,0,4,5,4,5,9,0,0,4,5,1,4,4,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,5,0,4,3,4,3,2,5,3,4,2,0,2,0,3,5,0,2,2,0,4,5,7,0,2,7,2,0,4,5,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,3,6,1,3,2,4,3,0,6,3,5,0,0,4,0,0,1,1,5,2,2,0,9,6,2,2,6,3,2,4,3,0,1,5,2,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,1,4,5,2,4,3,3,0,1,3,3,1,3,2,2,3,1,3,6,6,2,1,5,4,2,2,4,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +28,3,2,4,6,1,6,1,3,7,1,2,2,6,2,3,2,4,4,1,1,2,2,2,3,1,2,4,1,3,6,7,0,2,5,4,3,3,3,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,2,3,7,1,2,1,3,6,1,7,1,3,0,0,6,1,1,2,2,5,2,0,7,2,7,2,1,6,3,1,5,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +37,1,2,3,8,1,5,1,3,5,1,3,2,3,4,2,3,5,2,1,1,3,1,3,2,2,2,3,2,4,5,6,2,2,6,3,3,4,2,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,2,5,1,2,8,1,1,0,3,6,3,4,2,4,1,0,3,2,1,3,3,2,2,1,1,8,8,0,1,4,5,1,4,4,1,1,4,7,2,0,0,0,6,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,2,3,0,9,0,0,4,0,5,5,0,4,5,0,4,0,0,0,9,0,0,0,5,0,4,0,5,4,9,0,0,4,5,0,9,0,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,5,0,4,9,0,0,1,3,6,0,4,5,2,0,2,2,4,0,0,3,3,2,3,1,8,9,0,0,6,3,4,1,5,0,0,4,3,2,0,0,6,0,0,0,0,3,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,2,10,1,5,1,3,6,1,3,0,3,6,0,2,7,4,0,2,2,0,3,0,2,6,2,0,2,7,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,5,6,0,4,2,4,3,0,6,6,2,1,1,1,7,0,0,2,2,4,2,0,1,4,5,0,8,1,3,0,6,9,0,2,5,2,1,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +26,1,2,4,6,0,7,0,2,4,0,5,4,5,1,1,3,5,2,0,0,4,1,3,1,3,2,2,3,8,1,2,1,7,8,1,4,4,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,2,9,0,6,3,0,9,0,0,0,4,5,2,4,4,2,2,0,4,2,1,2,3,2,4,0,9,0,7,0,2,6,3,2,5,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,4,2,7,2,1,1,7,2,0,3,6,1,0,2,4,1,4,1,1,4,4,2,7,2,8,1,1,7,2,5,3,2,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,3,0,6,5,2,4,3,2,5,0,5,4,2,0,2,3,2,2,2,1,3,3,2,5,4,7,2,0,5,4,2,5,2,2,0,4,4,0,0,4,0,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,7,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,3,0,6,9,0,0,0,4,5,2,0,7,2,0,5,0,2,0,2,1,5,3,0,2,7,7,2,0,7,2,4,2,4,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,4,1,4,4,3,5,1,2,1,0,6,1,1,3,2,4,1,1,1,8,5,1,3,5,4,1,4,2,4,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,2,3,0,6,2,1,7,0,2,0,3,6,3,6,1,3,1,0,4,3,1,2,2,3,3,0,1,8,7,2,0,5,4,2,4,3,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,2,4,3,3,4,3,0,2,0,3,2,3,0,2,5,0,2,7,3,0,6,7,2,3,4,2,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,3,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"Yes" +11,1,3,2,3,1,3,1,5,5,3,3,2,4,3,4,5,1,4,0,0,5,0,1,2,3,2,3,1,4,5,7,1,2,5,4,1,3,3,2,1,6,7,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +31,1,4,2,7,0,9,0,0,5,0,4,1,3,6,0,2,7,0,0,0,1,4,5,0,0,3,6,1,8,1,7,0,2,5,4,1,8,1,0,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,4,1,4,7,2,1,0,3,6,2,5,2,5,1,0,3,1,1,3,2,3,1,1,1,8,6,0,3,4,5,1,1,6,2,1,6,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,2,5,1,2,8,0,1,2,5,3,1,5,4,2,0,0,3,3,3,1,1,5,4,0,8,1,8,1,1,4,5,2,5,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,3,2,5,4,2,3,1,4,5,3,0,0,4,2,2,1,2,4,3,2,3,6,5,1,3,7,2,3,2,3,2,1,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +33,1,3,3,8,3,4,2,2,9,0,0,1,2,7,1,3,6,1,0,0,3,3,3,1,2,3,5,0,0,9,7,2,0,9,0,0,2,7,1,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,2,3,8,0,7,1,2,5,1,4,4,1,5,0,2,7,0,0,1,2,6,1,0,2,1,7,1,8,1,5,1,4,8,1,5,3,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,2,3,2,2,2,0,5,7,0,2,2,5,3,5,3,1,2,2,0,4,3,1,4,2,2,3,0,0,9,9,0,0,4,5,0,1,4,4,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,5,0,4,7,0,2,2,2,5,1,3,6,0,1,3,2,3,2,2,2,1,6,0,4,5,4,5,0,2,7,2,5,0,2,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,2,4,1,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,2,2,2,5,1,3,2,4,2,4,3,3,3,3,2,5,3,2,0,0,5,3,0,2,1,4,4,0,5,4,7,0,2,9,0,5,3,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,1,5,0,3,2,4,4,2,4,4,5,1,1,6,3,0,0,0,6,1,3,0,4,3,3,0,9,0,5,0,4,8,1,7,1,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,2,2,5,5,2,3,4,4,2,3,5,2,2,1,2,6,1,1,3,4,1,2,0,8,1,4,2,4,8,1,2,5,1,3,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,1,5,2,3,7,1,2,0,2,7,4,4,2,5,1,0,3,1,1,5,1,2,2,1,1,8,7,0,2,4,5,2,2,4,2,1,5,8,2,0,0,5,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,"No" +32,2,2,4,7,0,3,3,4,5,1,4,2,5,2,1,4,5,2,1,0,1,5,2,1,1,4,4,1,3,6,7,1,2,7,2,5,3,1,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +10,1,4,3,3,1,5,1,4,7,1,2,0,0,9,5,4,0,2,0,0,5,0,2,3,6,0,0,0,0,9,6,2,1,4,5,0,0,7,2,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,7,0,2,9,0,0,0,4,5,2,5,3,0,2,0,6,0,2,2,3,3,3,0,4,5,9,0,0,3,6,0,3,3,3,0,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,1,3,5,7,0,2,2,2,6,0,3,6,2,1,0,1,5,1,2,2,0,5,1,9,0,5,2,3,7,2,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,2,3,4,2,3,4,3,1,1,2,2,3,3,1,3,3,1,2,7,7,2,1,5,4,2,4,3,1,1,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"Yes" +9,1,2,4,3,0,5,3,2,4,1,4,4,2,4,1,4,4,1,1,0,5,2,1,1,2,3,4,1,9,0,5,0,4,5,4,3,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,4,2,8,0,3,1,5,6,1,3,0,0,9,0,5,4,0,0,0,0,4,5,0,0,5,4,0,9,0,5,1,3,7,2,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,4,3,1,1,5,1,3,6,1,2,0,2,7,8,1,1,6,0,0,2,2,1,5,3,2,1,0,0,9,7,2,1,5,4,0,1,4,5,1,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,2,3,4,0,0,5,5,4,0,0,6,3,6,2,2,6,0,0,2,2,1,6,2,0,2,0,0,9,7,2,0,2,7,0,3,3,4,1,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,2,4,8,1,0,0,2,7,0,3,6,0,0,0,4,3,3,0,1,3,6,0,3,6,6,3,0,9,0,2,5,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,4,5,0,6,3,1,1,0,4,2,3,0,0,4,3,3,0,9,6,2,2,8,1,0,6,0,3,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,4,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,2,6,2,0,0,2,7,0,3,6,5,0,4,9,0,5,3,0,2,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,3,3,5,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,4,2,3,0,9,0,0,9,0,0,0,0,9,0,3,6,0,0,0,5,3,2,0,3,0,6,0,2,7,5,4,0,5,4,0,4,5,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,5,9,0,5,4,0,0,0,9,7,0,2,0,0,9,0,0,0,0,6,3,0,0,0,6,3,7,2,7,1,2,7,2,7,2,0,0,0,1,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,3,5,1,4,2,6,2,2,3,4,4,1,0,2,4,1,3,1,2,4,1,2,7,5,1,3,5,4,1,2,4,3,1,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +29,1,3,3,7,0,6,2,2,7,0,2,2,3,5,1,4,5,1,1,2,3,2,1,2,2,0,5,0,4,5,6,1,2,8,1,3,5,1,0,1,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,"No" +25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +24,1,2,5,5,2,2,1,5,2,2,5,0,9,0,0,9,0,2,1,1,3,2,2,0,0,0,9,0,9,0,4,1,5,5,4,0,6,3,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,5,1,3,6,1,2,0,0,9,0,0,9,2,1,1,2,3,2,0,0,5,4,0,9,0,6,1,3,7,2,4,5,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,4,3,8,1,4,2,3,7,1,2,0,0,9,0,0,9,0,0,0,0,5,4,0,0,0,5,4,9,0,6,2,2,7,2,0,4,5,0,0,4,5,2,0,0,6,0,4,0,0,0,0,0,3,1,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,7,0,2,2,2,6,0,3,6,0,0,0,2,8,0,0,1,2,6,0,2,7,9,0,0,9,0,5,0,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,1,4,1,4,7,1,2,2,4,4,2,4,4,3,1,2,2,2,1,2,2,3,3,1,4,5,6,2,1,5,4,3,3,3,2,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +27,1,1,5,6,0,3,2,5,4,0,5,6,2,1,3,4,3,3,0,0,4,1,3,1,1,3,4,2,7,2,4,0,5,2,7,6,1,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,9,0,0,6,0,3,3,3,3,1,6,2,0,3,0,4,0,3,0,4,2,3,0,2,7,4,2,3,5,4,3,5,0,2,0,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,6,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" +41,1,3,3,10,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,9,0,0,5,5,0,9,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,4,6,0,0,0,0,3,0,3,4,0,0,0,6,0,0,0,0,0,0,0,1,2,0,0,0,0,1,0,1,2,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,4,2,10,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,3,0,0,0,6,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +4,1,2,3,1,2,3,0,5,2,1,6,5,2,2,3,4,3,2,0,0,5,1,2,2,4,0,4,0,5,4,6,1,2,5,4,2,4,3,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,0,2,3,5,6,0,3,2,0,7,0,6,3,0,0,0,7,0,2,0,3,4,3,0,4,5,9,0,0,7,2,0,7,0,2,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,2,4,2,3,2,4,2,2,9,0,0,0,0,8,2,4,4,2,0,0,7,1,0,0,3,4,3,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,3,5,0,2,9,0,0,0,1,8,5,4,0,4,1,0,2,1,2,4,2,3,1,0,0,9,3,6,0,2,7,0,1,4,2,2,7,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,3,5,0,5,1,4,4,3,3,1,5,3,2,4,3,2,1,1,5,2,1,2,2,4,3,0,8,1,5,1,4,7,2,4,4,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +24,2,2,2,5,0,3,1,6,4,1,5,3,0,6,0,0,9,0,0,0,0,4,5,0,0,0,4,5,9,0,5,1,3,8,1,5,4,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,2,3,2,3,0,5,0,4,9,0,0,0,4,5,2,5,2,2,2,0,4,0,2,3,0,4,2,0,7,2,7,2,0,6,3,4,5,0,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,5,0,3,9,0,0,1,3,5,4,5,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,0,5,0,4,0,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +2,1,4,2,1,1,4,1,4,7,1,2,2,4,4,5,4,0,0,5,4,0,0,0,9,0,0,0,0,4,5,6,2,1,5,4,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,1,2,4,4,8,1,1,1,6,3,2,7,1,2,0,0,7,1,1,2,5,2,1,0,6,3,8,1,1,7,2,1,5,3,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,3,0,0,"Yes" +1,1,3,3,1,2,5,3,0,9,0,0,2,5,4,4,3,2,6,0,0,3,1,0,4,2,3,1,0,0,9,5,4,0,0,9,0,0,8,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,5,2,2,2,0,5,7,0,2,2,5,2,3,5,2,2,1,1,3,2,2,3,2,3,2,1,2,7,9,0,0,4,5,2,2,3,3,1,6,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,4,9,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,"Yes" +39,1,2,4,9,0,5,0,4,6,0,3,3,3,4,2,4,4,3,0,2,3,2,1,3,1,5,2,1,0,9,6,3,0,4,5,0,4,4,1,1,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,1,5,2,3,5,1,3,0,3,6,0,2,7,0,0,2,3,0,4,0,1,3,3,3,7,2,6,1,3,7,2,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,4,0,4,8,1,0,0,4,5,1,7,1,4,0,0,4,1,2,3,2,2,4,0,8,1,9,0,0,6,3,3,3,3,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,3,3,1,4,1,5,5,1,4,3,4,2,0,4,5,1,1,2,4,3,1,1,3,3,3,1,2,7,5,1,4,7,2,5,3,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,3,8,0,3,0,6,3,2,4,3,2,5,3,4,4,0,2,0,4,2,3,3,2,0,5,0,7,2,5,2,2,5,4,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,2,5,0,3,1,6,5,2,3,3,2,5,1,4,5,1,0,0,3,4,2,1,2,2,5,1,8,1,6,1,2,8,1,6,3,1,0,0,2,2,0,0,0,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,6,2,2,2,5,1,0,2,3,3,2,2,1,3,3,1,3,6,4,0,5,7,2,2,3,1,3,2,6,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,2,3,2,3,6,0,3,3,1,5,1,5,4,2,1,1,5,2,1,2,3,2,4,0,1,8,8,1,1,5,4,1,5,4,1,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +11,1,3,2,3,2,6,1,2,6,2,2,1,4,4,1,4,4,4,0,1,2,2,2,2,2,3,3,1,1,8,6,2,1,4,5,2,3,4,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,7,0,2,6,0,3,3,2,5,2,2,6,3,0,0,1,0,6,2,2,1,2,5,1,8,5,1,3,7,2,5,4,0,0,0,2,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,1,5,1,4,2,3,4,1,4,5,4,1,1,4,4,2,1,0,3,4,0,1,1,0,7,0,8,1,6,0,3,7,2,4,0,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,3,3,1,4,8,1,0,0,7,2,4,3,3,6,0,0,1,1,3,6,1,1,1,3,0,9,9,0,0,4,5,3,3,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,5,0,2,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,0,0,9,0,5,4,0,0,2,0,3,5,0,0,0,9,0,9,0,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,2,3,1,4,0,5,5,0,4,4,2,4,2,4,4,3,1,0,3,4,0,3,2,1,4,0,8,1,4,1,5,8,1,6,3,1,1,1,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,0,6,9,0,0,2,2,5,0,4,5,0,0,0,3,6,0,0,0,4,5,0,9,0,5,0,4,6,3,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,2,4,5,1,3,2,5,3,2,2,6,3,1,0,1,4,2,3,1,2,4,1,2,7,7,1,2,5,4,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +38,1,3,4,9,2,2,2,4,9,0,0,0,4,5,2,2,6,2,0,0,2,2,4,2,2,0,6,0,9,0,7,0,2,4,5,0,9,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,2,2,9,0,3,1,5,8,0,1,4,1,5,1,1,7,2,0,0,2,3,3,1,0,1,2,6,9,0,7,0,2,9,0,7,2,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,5,1,3,3,2,4,2,3,5,2,1,0,3,2,3,2,2,2,3,2,5,4,4,2,4,7,2,3,5,1,1,0,3,4,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,5,1,3,2,1,7,1,4,5,1,1,0,2,3,3,1,3,1,4,1,7,2,5,1,4,7,2,3,5,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,3,10,1,4,1,4,7,1,2,3,5,2,0,5,4,2,0,0,3,0,4,0,4,3,2,0,2,7,6,2,1,5,4,3,2,0,4,0,6,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,7,2,0,5,0,4,2,4,3,0,4,5,0,0,2,4,4,0,0,2,5,3,0,2,7,5,0,4,7,2,2,7,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,3,2,5,5,2,2,4,3,3,1,4,5,1,0,0,3,1,4,1,1,3,3,3,7,2,6,1,3,8,1,2,5,3,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,3,5,0,5,2,2,2,0,7,7,2,0,4,4,2,0,2,0,7,0,1,2,3,3,2,0,9,0,7,0,2,5,4,3,4,0,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,0,4,2,4,5,1,3,2,5,3,2,4,4,2,1,0,1,2,5,2,1,4,3,1,5,4,7,1,2,5,4,2,2,3,3,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +11,2,2,5,3,2,4,4,0,5,0,4,4,2,3,2,3,4,4,0,0,2,0,4,4,2,0,0,4,0,9,4,2,4,5,4,3,5,1,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,9,0,0,5,0,4,2,3,4,0,3,6,0,0,2,0,3,5,1,0,0,7,2,4,5,3,2,4,7,2,6,2,2,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,3,7,2,3,2,4,5,2,3,1,3,5,1,1,8,1,0,0,7,1,1,0,1,1,5,3,1,8,5,2,3,6,3,1,7,1,1,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,1,2,8,0,1,1,4,4,0,4,5,1,0,0,4,2,2,1,1,3,4,2,0,9,7,1,2,6,3,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,2,2,2,2,0,7,0,2,6,1,3,3,5,2,2,7,0,2,0,0,7,0,0,2,7,1,0,0,0,9,7,2,1,6,3,1,3,3,4,0,6,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,6,0,3,7,0,2,0,5,4,2,4,4,2,2,0,3,3,2,3,2,0,4,0,2,7,7,2,0,2,7,0,5,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,4,2,4,2,2,6,4,2,4,0,2,7,1,0,0,2,0,7,0,0,2,1,7,7,2,2,2,6,7,2,7,2,0,0,0,2,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,2,4,10,0,6,0,3,6,0,3,3,3,4,0,2,7,0,0,6,3,0,1,0,2,4,2,3,0,9,4,3,3,4,5,6,0,3,0,0,3,3,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,2,5,1,4,2,4,7,1,1,1,3,6,1,2,7,0,0,0,2,5,3,0,1,1,6,3,8,1,5,1,4,7,2,2,5,2,1,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,1,4,1,4,6,0,3,0,3,6,0,6,3,2,0,5,0,0,3,4,2,3,1,1,0,9,6,1,2,6,3,0,1,8,0,0,5,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,2,7,1,2,2,5,5,2,3,1,3,6,1,3,6,0,0,0,3,3,3,0,1,2,6,1,8,1,5,1,4,8,1,3,5,2,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,0,6,1,2,8,0,1,1,1,7,2,2,6,1,0,0,4,4,2,1,3,0,6,1,2,7,8,1,0,7,2,4,2,4,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,6,6,0,6,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +13,1,3,3,3,0,3,0,6,7,0,2,2,2,6,2,5,3,1,0,0,6,0,2,1,2,4,3,0,6,3,5,1,3,8,1,2,6,2,0,0,3,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,3,10,0,7,1,2,5,1,4,4,4,2,0,2,7,2,0,1,3,3,2,1,1,2,5,2,4,5,4,1,5,7,2,6,1,2,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,6,2,1,7,0,2,2,4,3,2,4,4,1,2,3,2,3,1,4,2,0,4,0,3,6,5,2,2,7,2,5,3,1,0,2,5,5,2,3,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,1,1,9,0,6,0,3,0,2,7,7,2,0,9,0,0,2,0,0,2,2,4,0,3,6,0,0,9,0,0,0,9,2,7,9,0,0,0,0,1,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +40,1,3,2,10,1,3,0,5,6,1,2,2,3,5,2,4,4,2,0,5,0,2,2,3,0,3,3,0,2,7,5,3,1,3,6,4,0,4,2,0,5,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,0,4,8,1,1,0,4,5,1,5,3,3,0,0,4,3,1,1,2,4,3,0,2,7,6,3,0,5,4,2,3,5,1,0,4,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +40,1,5,3,10,1,1,5,3,9,0,0,0,1,8,0,6,3,1,0,6,3,0,0,3,1,6,0,0,0,9,6,3,0,9,0,1,6,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,1,4,7,1,5,0,4,6,0,3,6,0,3,0,4,5,2,0,0,3,3,3,3,0,0,0,6,6,3,4,2,4,7,2,3,3,2,1,1,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,5,7,1,2,1,4,4,2,3,4,3,0,2,2,3,1,3,1,3,3,2,3,6,7,2,1,5,4,3,2,3,2,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,2,4,8,1,4,0,5,7,0,2,5,3,2,0,2,7,2,1,1,3,2,2,0,0,3,6,0,3,6,6,2,1,4,5,6,2,0,2,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,2,0,0,3,6,0,4,5,2,0,2,0,4,3,2,0,2,5,0,4,5,7,2,0,5,4,2,2,3,3,0,5,4,0,0,4,6,0,0,0,0,5,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,5,0,4,7,0,2,2,2,6,0,2,7,0,2,2,0,6,0,1,0,2,6,0,2,7,4,4,2,8,1,5,2,3,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,2,4,3,2,9,0,0,0,4,5,3,4,3,5,0,0,4,0,0,5,2,0,3,0,3,6,5,4,0,3,6,0,5,2,3,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,1,5,6,4,2,4,0,4,0,5,7,2,1,2,2,6,3,0,0,3,2,3,1,1,4,2,3,8,1,2,0,7,5,4,4,1,4,2,0,3,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,4,1,1,5,1,3,6,1,2,0,4,5,8,1,1,5,0,0,1,1,4,4,1,4,1,0,0,9,7,2,1,5,4,0,1,5,4,1,7,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,4,1,4,4,2,3,3,5,2,2,5,2,2,1,1,6,1,1,2,3,2,3,0,8,1,6,1,3,7,2,3,5,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,2,4,5,2,4,1,4,4,1,5,5,2,3,3,2,4,2,0,0,3,2,2,2,1,2,4,1,8,1,6,0,3,6,3,5,3,2,0,1,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,4,2,2,2,3,3,2,9,0,0,0,0,9,2,3,4,2,0,0,6,2,0,0,2,4,4,0,2,7,9,0,0,9,0,0,0,4,5,0,8,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,5,0,3,9,0,0,0,6,3,0,5,4,2,0,0,7,0,0,2,3,2,4,0,3,6,7,0,2,6,3,2,4,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,2,2,5,0,1,3,6,1,3,5,5,0,4,0,0,9,0,0,0,0,3,6,0,0,0,3,6,9,0,5,1,3,8,1,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,4,1,6,1,2,2,5,2,1,1,8,1,0,0,2,5,2,1,1,1,8,0,4,5,7,0,2,8,1,4,4,2,0,0,3,3,0,0,3,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,"No" +10,1,4,3,3,3,5,0,1,9,0,0,0,3,6,2,5,3,2,1,0,3,3,2,1,3,3,3,1,2,7,8,0,1,6,3,1,4,3,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,0,4,1,4,6,1,3,1,5,3,1,5,3,1,0,1,2,1,5,1,1,5,3,1,3,6,4,0,5,7,2,3,3,1,3,1,5,4,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,8,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,4,5,0,5,2,2,9,0,0,0,6,3,7,0,2,3,5,0,0,0,2,6,0,2,2,0,0,9,9,0,0,2,7,0,2,5,2,0,6,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,4,0,5,7,0,2,2,6,2,3,5,1,6,1,0,2,0,1,6,0,2,2,0,6,3,7,2,0,3,6,2,4,4,1,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,4,7,1,6,0,2,7,0,2,0,5,4,0,0,9,3,0,0,3,2,2,0,0,0,5,4,9,0,6,0,3,7,2,1,4,4,0,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,0,6,2,0,7,6,0,3,0,2,7,4,0,0,0,0,5,0,2,0,7,0,6,3,3,0,6,7,2,7,0,2,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,6,6,1,3,1,5,1,1,7,5,4,0,1,2,6,4,0,0,0,2,4,2,0,2,3,4,9,0,3,0,6,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,2,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +27,2,2,4,6,0,4,2,3,5,0,4,4,2,4,0,0,9,0,0,2,2,3,3,0,0,2,3,5,9,0,7,0,2,9,0,2,7,0,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,5,7,2,2,2,4,6,0,3,3,4,2,0,1,8,1,0,0,1,4,5,0,1,1,4,5,9,0,4,3,3,9,0,1,8,0,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,1,5,0,4,4,2,4,4,4,2,2,4,4,3,0,0,4,1,2,3,2,3,3,0,6,3,7,1,2,6,3,3,3,4,1,0,4,6,0,0,0,5,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,1,5,6,0,3,3,3,4,0,1,8,0,0,0,4,0,5,0,1,2,6,2,9,0,5,0,4,9,0,4,4,2,0,0,3,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,2,8,0,8,1,0,9,0,0,0,2,7,2,3,4,3,1,0,4,1,1,3,2,2,4,0,0,9,7,2,0,6,3,0,6,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,5,0,4,7,1,1,1,4,5,2,4,4,3,0,1,2,2,2,4,2,1,4,0,5,4,7,2,0,8,1,3,2,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,1,4,2,3,7,2,1,1,6,3,1,1,8,1,1,2,1,4,3,1,1,3,6,1,1,8,4,4,2,7,2,4,3,3,0,1,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,2,2,0,5,6,1,3,3,1,6,0,1,8,3,0,1,0,2,4,0,0,2,3,4,6,3,6,0,3,9,0,3,6,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +2,1,2,3,1,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +18,1,2,4,4,2,1,2,5,3,1,6,4,4,1,4,4,2,4,0,0,1,2,3,2,2,4,2,2,2,7,3,0,6,3,6,6,3,1,1,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,4,3,10,0,5,1,3,8,1,1,1,2,7,0,2,7,1,0,4,1,1,5,1,2,3,4,1,1,8,7,1,1,8,1,2,3,2,4,0,5,4,0,0,3,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,0,6,3,0,9,0,0,1,5,3,2,4,4,3,0,2,3,2,1,3,2,2,3,0,1,8,4,4,2,4,5,2,4,1,3,1,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,0,7,0,2,7,2,0,0,5,4,0,3,6,2,0,0,2,5,2,2,1,2,5,2,0,9,4,4,2,6,3,2,5,3,0,0,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,2,2,3,8,0,4,1,4,6,0,3,2,4,4,3,4,3,3,1,0,4,1,2,3,3,1,1,3,4,5,4,2,4,5,4,1,2,2,4,1,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,6,0,3,3,3,4,0,5,4,2,0,0,4,4,0,2,2,0,5,0,4,5,7,2,0,7,2,0,3,4,3,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,1,4,0,5,7,0,2,2,5,3,1,6,2,2,0,0,6,0,2,1,1,6,2,0,8,1,5,1,4,6,3,1,1,8,0,0,5,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,8,0,1,0,3,6,0,3,6,1,2,1,3,3,2,2,0,1,7,0,4,5,7,2,0,7,2,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,2,3,9,3,5,0,2,9,0,0,0,5,4,2,4,4,2,0,0,6,0,2,1,2,3,4,0,6,3,7,2,0,7,2,3,4,2,1,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,3,1,0,5,1,4,5,1,4,3,2,5,2,3,4,3,1,0,1,4,2,3,1,2,4,1,3,6,6,1,3,6,3,3,5,1,2,0,4,3,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,5,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +10,1,4,2,3,2,0,2,5,9,0,0,0,3,6,2,4,4,2,0,0,3,5,0,2,0,3,5,0,0,9,9,0,0,7,2,0,5,4,0,0,4,8,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,5,1,0,7,0,2,7,0,2,2,7,0,2,6,2,6,0,0,3,0,0,3,1,6,0,0,0,9,9,0,0,6,3,2,2,5,0,0,4,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,2,3,3,1,4,0,2,4,9,0,0,0,5,4,7,2,0,8,0,0,0,0,1,9,0,0,0,0,0,9,5,1,3,5,4,0,0,4,4,2,9,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,3,4,3,1,7,1,1,1,4,5,1,6,2,1,0,0,6,1,2,1,4,2,3,1,4,5,4,2,3,7,2,2,2,5,1,0,4,4,2,0,0,5,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,2,4,2,2,8,0,1,1,3,6,1,3,6,1,0,0,2,4,4,1,1,2,5,2,9,0,8,1,1,8,1,1,6,2,2,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,4,5,2,3,2,2,6,0,2,7,2,0,0,1,3,5,1,1,1,6,2,8,1,6,1,3,9,0,2,6,1,0,0,3,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,2,2,0,3,4,2,9,0,0,0,3,6,5,3,2,7,0,0,2,0,1,7,1,1,2,0,0,9,5,4,0,2,7,0,2,4,1,3,8,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +2,1,3,4,1,1,4,0,5,6,0,3,3,2,5,3,2,4,6,2,0,1,1,0,4,1,3,3,0,3,6,6,2,1,3,6,3,1,4,1,2,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,4,3,2,1,5,1,3,6,1,2,0,3,6,7,1,1,5,0,0,1,1,3,4,2,3,1,0,0,9,7,2,1,5,4,0,1,3,4,1,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,2,2,0,7,2,0,9,0,0,0,2,7,4,2,4,4,1,0,4,2,1,4,2,1,4,0,0,9,8,1,0,5,4,0,6,3,0,0,4,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"Yes" +9,1,2,3,3,0,4,0,5,3,0,6,3,0,6,3,2,4,3,0,0,3,2,2,0,3,5,2,0,9,0,7,0,2,7,2,6,0,3,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,3,0,2,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +38,1,2,1,9,0,2,4,4,7,0,2,0,7,2,4,4,1,1,0,0,1,4,5,4,1,0,4,0,7,2,7,0,2,6,3,1,1,8,1,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,1,4,2,3,5,0,4,4,3,2,1,2,6,1,0,1,3,3,3,1,1,2,5,1,5,4,5,1,4,9,0,2,5,2,1,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,4,2,4,3,4,2,0,5,4,0,3,6,2,0,2,2,3,2,0,1,5,3,1,2,7,5,2,3,6,3,0,6,2,2,1,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,2,2,0,4,0,5,5,2,3,3,3,4,6,3,0,6,0,0,3,0,0,6,2,2,0,0,3,6,7,0,2,5,4,0,4,5,0,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,3,6,2,1,1,1,4,2,1,2,4,3,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,1,2,4,1,0,7,2,0,9,0,0,1,7,2,3,4,2,2,0,0,4,3,1,2,3,1,4,1,7,2,7,0,2,7,2,3,3,3,1,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,3,3,4,6,1,2,1,2,7,0,3,6,0,0,0,3,3,4,0,1,1,6,3,9,0,7,0,2,7,2,7,2,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,3,3,8,0,7,1,1,7,0,2,0,3,6,2,3,4,4,0,0,2,0,4,2,1,4,4,0,0,9,5,2,2,4,5,0,3,3,4,0,7,6,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,5,2,2,4,1,4,0,4,5,3,0,0,6,0,1,1,0,1,6,3,6,3,4,4,2,3,6,5,4,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,2,7,5,3,2,3,1,0,4,2,1,4,3,2,2,1,1,8,7,0,2,5,4,1,2,4,3,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,1,4,7,1,2,0,6,3,0,6,3,4,0,0,2,2,1,0,5,0,4,0,3,6,6,2,1,5,4,0,9,0,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,6,1,3,6,1,3,3,2,5,0,2,7,0,0,1,2,4,3,0,1,2,5,2,6,3,5,1,3,8,1,5,2,3,0,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,3,2,4,1,2,1,5,2,7,0,2,1,6,3,2,5,2,5,2,1,1,0,2,4,3,1,2,0,2,7,7,0,2,5,4,1,1,8,0,0,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,7,0,2,6,0,3,2,5,3,2,2,5,2,0,0,3,3,2,2,0,0,7,0,5,4,6,0,3,7,2,3,2,5,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,2,2,5,6,1,5,3,1,7,0,2,2,6,1,2,4,4,2,1,2,2,0,3,1,1,5,2,0,8,1,8,0,1,7,2,2,7,1,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,2,3,0,7,2,0,7,0,2,0,7,2,0,1,8,0,0,0,6,0,3,0,0,1,8,1,1,8,5,2,2,7,2,0,3,5,2,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,2,1,5,7,2,0,0,2,7,2,5,2,3,1,0,4,2,0,2,4,2,2,0,0,9,7,1,2,6,3,1,5,3,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,2,4,3,3,0,4,2,4,8,1,1,1,3,6,1,7,2,4,0,0,3,3,0,1,3,3,3,0,1,8,8,0,1,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,2,3,3,2,1,4,0,4,7,0,2,2,2,6,3,4,3,4,0,2,3,0,1,4,2,3,1,0,0,9,7,2,0,4,5,2,3,3,2,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +7,1,4,2,2,1,5,2,3,8,1,0,0,1,8,5,4,1,5,1,0,4,1,0,5,4,1,1,0,0,9,7,1,2,4,5,1,3,6,1,0,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +33,2,3,3,8,0,2,3,5,6,3,0,0,3,6,0,1,8,0,0,0,1,6,3,0,1,1,8,0,3,6,6,3,0,9,0,3,5,2,1,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,3,9,1,3,1,5,4,2,4,4,2,3,1,3,6,1,0,1,3,3,3,1,1,3,3,3,7,2,6,0,3,8,1,5,4,1,0,0,2,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,4,0,5,7,0,2,3,3,4,3,3,4,5,0,0,3,0,2,1,3,3,2,1,1,8,6,1,2,7,2,2,3,4,1,1,5,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,2,2,1,4,2,3,7,1,2,1,3,6,2,4,3,3,1,0,4,2,1,2,2,3,3,0,2,7,7,1,1,5,4,1,3,5,1,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,1,3,3,3,5,1,4,4,2,4,1,3,6,2,1,1,3,2,3,1,2,1,4,2,2,7,5,1,4,6,3,3,4,2,1,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,3,7,0,2,2,5,5,2,2,2,3,4,0,3,6,1,0,1,1,1,7,1,1,3,5,1,8,1,4,2,3,7,2,4,5,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,5,2,8,0,8,1,0,9,0,0,0,1,8,1,5,4,2,2,0,4,1,2,2,2,2,4,0,0,9,5,4,0,7,2,0,7,2,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,4,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"Yes" +38,1,2,3,9,1,5,1,3,5,1,4,3,3,4,2,2,6,1,1,1,2,4,2,1,1,2,5,1,4,5,6,1,2,7,2,3,5,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,3,5,3,1,1,5,3,2,5,5,4,2,0,8,1,1,0,0,5,2,2,1,2,6,2,0,2,7,5,2,2,8,1,4,5,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,8,1,1,2,2,6,4,4,2,1,4,4,2,0,0,3,1,4,2,2,3,4,0,9,0,7,1,2,6,3,5,3,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,5,3,1,1,5,2,3,5,1,4,0,4,5,0,9,0,4,2,0,2,1,1,0,4,0,5,0,0,9,5,1,3,5,4,3,2,3,2,1,5,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,2,7,0,0,7,1,2,1,3,5,0,4,5,2,1,0,3,2,3,1,3,2,4,1,0,9,6,2,2,5,4,0,5,3,1,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,0,9,0,0,5,0,4,0,0,9,0,0,9,0,0,2,0,3,5,0,3,0,6,0,9,0,3,2,4,7,2,9,0,0,0,0,1,1,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,4,8,0,6,2,2,5,0,4,4,4,2,2,0,7,0,0,0,9,0,0,0,2,0,7,0,9,0,4,2,4,9,0,9,0,0,0,0,2,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,2,4,9,0,4,1,5,3,1,6,3,2,4,0,1,8,1,0,0,1,0,7,0,0,2,2,5,8,1,4,2,4,7,2,7,2,0,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,1,3,5,1,6,1,3,2,2,6,5,3,2,2,5,3,1,0,0,2,2,5,1,2,4,4,1,8,1,5,0,4,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,2,4,7,0,3,0,6,5,0,4,3,4,3,0,0,9,0,0,0,0,6,3,0,0,0,5,4,8,1,6,0,3,9,0,4,3,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,4,1,0,5,6,3,0,0,4,5,5,3,2,5,0,0,3,1,2,4,3,1,2,0,0,9,6,3,0,2,7,0,3,4,3,1,7,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +12,3,3,2,3,2,1,1,6,6,2,2,3,2,4,2,6,2,2,1,0,4,1,4,1,2,2,5,0,8,1,6,1,2,5,4,1,2,3,4,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +27,1,1,5,6,0,5,0,4,3,1,5,7,2,0,1,4,5,4,0,0,4,1,2,1,1,5,1,3,9,0,7,0,2,9,0,2,7,1,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,0,4,0,5,9,0,0,0,2,7,1,2,6,1,0,0,3,3,3,1,1,3,6,1,5,4,6,1,2,7,2,1,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,1,3,7,1,2,1,4,4,0,2,7,1,0,3,2,2,3,1,2,3,4,1,4,5,6,3,1,7,2,2,5,1,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +23,1,2,2,5,3,2,1,5,2,2,6,5,3,2,1,6,3,3,0,0,4,1,3,2,3,2,3,1,9,0,5,1,4,6,3,3,4,2,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,1,5,7,2,2,1,5,4,0,5,7,1,1,0,1,8,0,0,0,0,5,4,0,0,0,5,4,8,1,4,0,5,7,2,5,4,1,0,0,2,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,2,1,2,2,0,5,9,0,0,0,4,5,5,4,0,7,0,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,3,6,0,9,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +32,1,1,6,7,0,5,1,4,3,0,6,5,4,1,0,2,7,0,0,0,3,1,5,0,0,2,4,4,9,0,3,0,6,7,2,7,2,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,2,6,0,2,9,0,0,0,3,6,5,3,2,4,0,0,5,0,0,3,2,3,2,0,0,9,7,2,0,2,7,0,5,0,4,0,7,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,1,5,0,5,0,5,0,6,3,3,5,2,0,5,4,2,0,0,4,2,2,2,2,2,4,2,9,0,5,3,3,9,0,5,2,3,0,0,3,3,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,2,7,1,1,8,1,0,0,2,6,2,1,1,1,5,4,3,6,6,1,2,7,2,3,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,2,7,1,1,5,0,4,3,2,4,3,2,4,4,3,0,3,1,1,3,2,3,1,3,6,3,3,4,3,3,6,5,2,0,0,3,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,2,4,2,1,4,2,4,5,2,3,0,6,3,6,3,0,0,0,0,6,3,0,0,6,0,3,0,0,9,6,1,2,7,2,0,0,9,0,0,4,7,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,0,4,0,5,9,0,0,0,2,7,3,3,4,3,0,0,3,3,2,3,3,0,4,0,9,0,9,0,0,6,3,0,6,2,2,0,4,7,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,3,2,4,5,2,3,3,4,3,0,4,5,0,0,0,5,4,0,0,3,0,6,0,7,2,9,0,0,9,0,3,6,0,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,7,0,2,6,0,3,3,2,4,2,3,4,0,2,0,3,4,0,3,2,0,5,0,0,9,7,2,0,7,2,4,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +33,1,1,2,8,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,3,3,6,1,4,1,4,7,0,2,2,1,6,1,4,5,1,1,1,2,5,1,1,1,2,5,0,4,5,6,2,1,5,4,1,5,3,1,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,4,8,0,6,1,2,8,0,1,1,6,3,0,4,5,1,0,0,4,2,4,0,1,4,4,1,2,7,7,0,2,8,1,2,4,4,0,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +23,2,3,3,5,0,1,2,6,7,0,2,0,2,7,1,5,3,2,0,0,5,0,3,1,4,0,4,0,4,5,9,0,0,7,2,0,6,3,0,0,4,4,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,1,4,2,3,6,2,1,1,4,5,3,5,2,5,0,1,3,1,2,4,2,2,2,0,2,7,6,1,2,4,5,1,1,8,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,6,1,0,4,2,4,6,0,3,3,6,0,1,4,5,2,2,0,2,0,4,2,2,2,4,1,9,0,4,0,5,7,2,4,5,0,0,0,3,6,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +27,1,2,5,6,1,5,2,3,5,1,3,5,1,3,1,1,8,6,0,0,3,0,0,1,1,4,0,5,6,3,6,1,3,7,2,6,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,2,2,7,0,2,2,5,3,0,0,9,0,0,0,2,7,0,0,0,0,9,0,5,4,9,0,0,9,0,5,4,0,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,2,5,5,1,5,1,3,4,1,5,5,3,2,1,2,7,1,0,1,3,3,4,1,1,2,4,3,8,1,3,1,5,8,1,5,3,1,0,0,2,2,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,4,6,1,4,2,3,5,0,4,6,0,3,5,0,4,0,0,0,9,0,0,0,5,0,0,4,4,5,5,1,4,9,0,0,0,9,0,0,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,"No" +16,1,2,4,4,2,2,0,6,5,0,4,4,2,3,3,4,3,1,0,0,4,2,3,1,3,2,2,2,3,6,4,2,4,7,2,5,0,4,1,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +24,1,3,3,5,1,1,1,7,5,2,2,2,3,5,1,1,8,0,0,0,3,2,4,0,1,1,7,2,8,1,6,1,3,8,1,5,3,1,1,0,2,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +3,1,1,5,1,1,4,1,4,7,1,2,8,1,1,0,3,6,5,0,0,2,0,2,5,3,1,1,0,1,8,6,2,1,5,4,4,1,1,4,0,6,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,4,3,8,2,7,0,0,9,0,0,0,4,5,0,3,6,2,0,0,6,0,2,0,1,4,4,0,2,7,7,2,0,7,2,0,7,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +30,1,3,3,7,1,5,2,3,5,1,3,0,5,4,0,1,8,0,0,2,3,0,5,0,1,1,4,5,8,1,6,1,3,7,2,3,6,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,5,2,3,0,5,3,2,9,0,0,0,0,9,0,4,5,1,1,0,5,2,2,0,0,0,4,5,0,9,6,0,3,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,3,4,3,9,0,0,0,1,8,0,4,5,1,0,0,3,5,2,1,2,1,4,3,9,0,5,3,2,7,2,0,3,3,4,0,7,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,0,5,2,3,6,2,2,2,4,4,1,4,5,2,0,2,2,3,2,2,1,2,4,1,5,4,6,1,2,6,3,3,4,2,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,0,5,2,3,5,2,3,3,1,5,1,6,2,1,0,0,5,3,1,1,4,1,4,1,8,1,8,0,1,9,0,4,4,2,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,3,3,9,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +23,1,2,2,5,2,4,1,3,3,2,5,5,3,2,2,6,2,1,0,0,3,2,4,1,3,3,4,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,4,2,3,0,7,0,2,7,2,0,1,1,8,2,3,5,1,0,0,7,2,1,0,3,2,5,0,0,9,9,0,0,6,3,2,4,4,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,5,6,2,2,2,4,4,1,3,6,1,1,1,3,3,2,1,2,3,4,1,5,4,6,2,2,8,1,4,4,2,1,1,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,3,5,3,2,1,3,5,2,2,2,5,2,2,4,4,2,2,0,2,3,1,3,2,0,4,0,6,3,7,0,2,6,3,5,0,0,4,0,5,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,4,2,3,4,3,3,3,2,5,0,3,6,1,0,0,2,3,3,1,1,2,6,1,9,0,5,0,4,8,1,6,3,0,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,2,3,2,4,5,0,4,3,3,3,4,3,3,2,2,2,3,2,0,4,3,2,2,0,4,5,5,2,3,6,3,5,2,3,0,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,2,3,0,5,7,2,0,0,5,4,1,5,4,1,0,0,4,1,4,1,3,2,5,0,8,1,9,0,0,6,3,4,1,4,1,0,4,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,2,3,3,1,7,1,2,7,1,2,2,3,5,1,7,2,1,0,0,7,2,1,1,4,3,2,1,2,7,8,0,1,6,3,1,6,2,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,3,4,1,0,9,0,0,9,0,0,0,6,3,0,6,3,4,0,0,4,0,3,3,0,4,3,0,4,6,9,0,0,6,4,3,4,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,1,2,0,0,6,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,6,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"Yes" +33,1,3,3,8,1,5,1,3,6,1,2,2,4,4,2,2,6,2,1,1,2,3,2,2,1,2,4,2,6,3,6,1,3,7,2,3,4,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,2,4,3,2,0,5,0,5,9,0,0,0,0,9,0,5,5,0,0,0,9,0,0,0,4,0,5,0,0,9,6,3,0,2,7,0,9,0,0,0,3,7,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,2,8,0,4,2,4,3,2,4,4,4,2,0,5,4,0,0,0,7,0,2,0,5,0,4,0,7,2,7,0,2,9,0,4,5,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,4,3,3,1,3,1,5,7,1,2,1,2,7,1,2,7,0,0,0,3,3,4,0,1,1,6,3,8,1,6,1,3,7,2,2,6,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,3,7,1,2,0,5,4,3,5,1,2,1,0,4,1,2,2,3,4,1,1,2,7,7,0,2,5,4,1,2,5,2,1,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,5,1,2,6,1,3,3,5,2,2,3,4,3,1,1,3,2,1,2,1,2,3,2,5,4,6,0,3,6,3,3,3,3,1,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Yes" +11,1,1,2,3,0,5,1,4,4,3,2,6,3,1,4,5,1,2,0,0,4,3,2,1,1,1,7,2,8,1,8,0,1,9,0,3,5,2,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,6,0,4,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +4,2,2,4,1,0,5,1,3,6,1,3,3,4,3,3,3,4,3,1,1,3,2,2,3,2,2,3,1,3,6,6,1,3,7,2,3,2,4,1,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,0,4,2,3,5,1,3,0,4,5,0,2,7,0,0,0,0,0,9,0,0,0,2,7,9,0,6,1,3,6,3,4,3,2,0,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,5,3,10,0,0,5,5,9,0,0,0,0,9,0,9,0,5,0,5,0,0,0,9,0,0,0,0,0,9,7,2,0,7,2,4,2,3,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,8,0,1,0,3,6,0,3,6,0,2,0,5,3,1,0,2,4,4,1,1,8,8,1,0,8,1,0,6,3,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,2,4,3,0,7,0,2,6,0,3,4,2,4,3,3,3,4,0,2,0,4,1,3,0,2,5,0,1,8,3,0,6,7,2,4,3,2,2,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,5,8,2,6,2,2,2,0,7,3,4,3,0,2,7,1,0,1,1,1,7,0,1,1,4,4,3,6,5,0,4,9,0,2,5,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +25,1,2,4,6,0,4,4,2,3,2,5,4,5,1,2,4,4,1,1,0,6,1,2,1,2,1,5,2,9,0,6,0,3,5,4,5,2,2,0,0,3,1,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +11,1,2,3,3,1,5,3,2,6,0,3,3,4,3,0,2,7,1,0,0,3,3,4,1,0,2,6,1,4,5,6,1,2,9,0,1,7,2,0,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,4,2,9,0,4,0,5,8,0,1,1,1,8,1,4,5,1,0,0,2,0,7,1,2,2,5,1,8,1,5,4,1,8,1,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,2,2,2,4,1,4,6,1,3,1,4,5,2,5,2,2,2,0,3,1,3,3,2,2,3,1,6,3,7,1,2,6,3,3,4,3,0,0,3,7,2,0,0,6,0,0,0,0,0,0,0,5,0,3,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,2,0,0,0,0,6,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,0,7,2,0,5,2,2,2,6,2,0,3,6,5,0,0,1,0,4,2,0,2,4,2,4,5,4,4,2,3,6,3,6,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,4,8,2,6,0,1,6,2,2,4,5,0,0,0,9,4,0,0,0,5,0,0,0,3,3,4,3,6,7,0,2,6,3,9,0,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,3,7,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,0,0,9,9,0,0,0,3,6,0,2,7,3,0,0,2,5,0,0,2,3,5,0,4,5,7,2,0,5,4,0,0,9,0,0,5,3,0,0,0,6,0,6,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,4,2,4,7,1,2,0,0,9,0,9,0,1,0,0,3,3,3,0,0,0,9,0,5,4,7,1,1,8,1,1,6,2,1,0,4,8,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,5,1,1,5,2,2,5,1,3,3,5,1,1,5,3,3,1,0,4,1,2,2,3,3,2,1,5,4,7,1,1,5,4,3,3,3,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,5,8,1,4,2,3,3,0,6,5,3,2,2,2,6,2,2,0,3,2,3,1,1,2,4,2,8,1,2,2,5,5,4,7,1,0,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,"No" +8,1,2,3,2,0,6,0,3,9,0,0,0,5,4,0,9,0,0,0,0,5,0,4,0,0,6,3,0,5,4,7,2,0,7,2,0,9,0,0,0,3,7,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +35,1,2,4,8,0,4,0,5,3,0,6,5,2,2,1,2,7,0,0,2,2,3,4,0,1,4,5,1,2,7,5,1,4,7,2,1,4,5,0,0,4,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,1,2,3,5,1,5,2,2,5,2,2,2,5,2,2,2,6,2,0,0,2,3,2,2,1,1,6,0,9,0,7,2,1,7,2,3,1,6,1,0,4,2,2,0,0,5,0,4,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,0,9,0,0,9,0,0,0,5,4,0,5,4,0,0,0,1,8,1,0,0,1,8,0,1,8,5,0,4,9,0,1,4,0,5,0,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,2,3,0,4,2,4,8,1,1,1,2,7,0,2,7,1,0,0,2,4,4,1,1,2,6,2,6,3,7,2,1,9,0,1,3,5,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,2,1,0,4,0,5,5,2,2,0,6,3,0,3,6,4,0,2,2,3,0,0,0,0,5,4,3,6,6,2,2,6,3,3,4,2,1,0,3,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,2,3,3,2,0,4,9,0,0,0,3,6,3,6,0,0,0,0,9,0,0,0,7,3,0,0,0,9,9,0,0,4,5,0,4,3,2,0,5,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,2,4,10,0,5,2,2,7,1,1,0,6,3,2,0,7,2,2,3,2,1,2,1,1,4,3,1,1,8,8,0,1,5,4,2,4,3,2,0,4,4,0,0,4,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,2,3,8,2,5,1,2,6,1,2,3,4,3,2,4,4,0,0,0,6,2,2,3,2,2,3,1,4,5,6,2,2,5,4,1,3,4,3,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,2,9,2,2,2,4,7,0,2,1,1,8,3,2,5,1,0,0,5,1,3,1,1,4,3,2,4,5,7,2,0,7,2,4,4,2,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,4,3,8,2,5,0,3,9,0,0,0,3,6,2,4,3,2,0,0,4,2,2,2,2,3,3,0,0,9,5,0,4,7,2,0,6,3,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,2,4,3,0,2,7,0,0,0,2,1,7,0,0,2,5,3,5,4,7,0,2,5,4,5,2,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +12,1,3,2,3,1,3,2,5,9,0,0,0,3,6,1,7,2,1,1,0,8,1,1,1,2,2,5,0,5,4,6,1,3,5,4,2,6,2,0,0,3,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +5,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,7,0,1,6,0,3,2,4,4,4,3,2,3,0,0,5,1,1,3,2,3,2,0,0,9,6,3,2,5,4,1,4,4,1,0,5,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,4,9,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,9,0,0,5,0,4,4,2,3,0,3,6,0,0,2,0,3,5,2,0,0,5,3,0,9,3,2,4,7,2,5,0,4,0,0,2,5,2,0,0,5,0,0,0,0,0,3,3,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,2,0,7,9,0,0,0,4,5,3,5,2,7,0,0,2,0,0,7,0,0,2,0,0,9,6,3,0,2,7,0,0,9,0,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,"No" +1,1,2,4,1,0,7,0,2,7,2,0,0,7,2,5,4,0,5,2,0,2,0,0,6,0,3,0,0,0,9,6,3,0,2,7,0,0,5,2,2,8,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +18,1,2,2,4,2,0,0,7,0,2,7,5,3,2,5,4,0,3,1,0,2,2,3,2,1,5,2,0,5,4,2,2,6,3,6,6,1,2,1,1,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,2,2,3,8,1,4,1,4,7,1,2,4,4,2,0,3,6,0,0,0,9,0,0,0,3,1,5,1,7,2,6,2,1,5,4,5,3,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,4,8,0,6,0,3,9,0,0,0,5,4,0,6,3,0,0,0,4,5,0,0,0,0,9,0,4,5,7,2,0,7,2,0,0,9,0,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +5,1,1,6,1,0,5,5,0,0,0,9,9,0,0,0,5,5,4,2,0,2,1,1,0,4,0,5,0,9,0,0,0,9,9,0,9,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,1,4,4,2,5,0,4,4,5,1,0,1,8,1,0,0,2,3,4,1,0,1,6,2,3,6,5,1,4,9,0,1,7,2,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,0,3,0,6,7,0,2,0,4,5,0,0,9,0,0,0,0,5,4,0,0,0,6,3,5,4,5,3,3,9,0,4,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,4,1,1,4,1,4,7,1,2,9,0,0,0,0,9,0,0,0,9,0,0,0,9,0,0,0,9,0,6,2,1,5,4,5,5,0,0,0,3,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,3,8,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,2,3,3,2,2,4,1,3,6,1,2,2,3,4,3,4,3,3,1,0,4,1,2,3,2,3,2,1,3,6,6,2,2,6,3,2,3,4,2,1,5,7,2,0,0,6,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +41,1,3,3,10,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,2,4,2,0,6,0,3,6,0,3,4,0,5,3,4,3,2,2,0,6,0,0,3,1,5,2,0,9,0,9,0,0,2,7,6,0,2,0,2,4,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,0,6,1,2,1,2,6,6,2,1,4,4,2,1,0,0,6,1,3,1,3,4,2,0,9,0,5,1,3,5,4,4,2,3,0,0,3,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,0,4,1,5,4,3,3,3,2,4,1,4,4,2,0,0,2,2,4,1,3,2,3,3,8,1,6,1,2,8,1,4,4,1,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,4,7,0,8,0,1,6,1,2,1,3,5,0,3,6,1,0,0,3,2,4,1,2,2,4,3,6,3,5,0,4,7,2,6,3,1,1,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,2,2,9,0,4,2,4,7,1,2,3,4,3,1,1,8,1,0,0,3,6,0,1,1,1,8,0,3,6,7,1,1,8,1,0,7,2,0,0,4,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +12,1,3,3,3,4,0,0,5,5,4,0,0,3,6,4,3,2,4,0,0,3,1,2,1,6,0,2,0,0,9,7,2,0,2,7,0,1,4,3,2,9,7,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,4,1,4,7,0,2,2,3,5,0,2,7,0,0,3,0,3,3,2,0,2,3,4,3,6,5,2,3,7,2,5,4,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,0,7,2,0,9,0,0,2,5,2,2,5,2,1,0,0,3,3,3,1,2,3,4,1,6,3,7,0,2,7,2,1,3,3,2,0,6,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,4,2,3,5,1,3,3,4,2,0,3,6,0,0,0,3,2,4,0,1,2,6,1,9,0,6,0,3,7,2,4,4,1,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,4,3,7,0,4,0,5,8,1,0,0,3,6,0,0,9,0,0,0,2,5,2,0,0,0,8,1,7,2,7,0,2,7,2,2,4,4,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,0,6,0,3,9,0,0,0,3,6,0,0,9,0,0,3,0,6,0,0,0,3,6,0,9,0,7,2,0,9,0,3,5,2,0,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,4,1,2,2,2,5,7,1,2,2,4,4,5,3,2,8,1,0,0,0,0,7,0,2,0,0,0,9,3,5,2,2,7,0,2,5,2,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,2,5,1,3,2,4,6,1,2,2,2,6,0,3,6,2,0,0,0,6,2,0,1,4,4,1,4,5,5,1,3,7,2,3,5,2,0,0,3,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,2,8,0,5,0,4,3,2,4,4,3,3,1,4,5,2,0,0,3,4,1,1,3,0,3,3,2,7,5,2,2,8,1,2,5,2,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,2,3,1,3,7,1,1,1,1,8,4,4,1,1,0,0,7,1,1,1,6,1,2,0,1,8,9,0,0,6,3,3,2,5,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +24,1,3,2,5,1,3,2,5,6,1,2,1,2,7,1,2,7,0,0,0,2,4,3,0,1,1,5,3,8,1,3,2,5,8,1,3,5,1,1,0,3,2,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,1,4,1,5,7,1,1,0,5,4,0,8,1,1,1,0,4,2,3,0,0,5,4,1,0,9,6,2,2,8,1,0,8,0,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,3,3,3,1,4,1,4,9,0,0,0,5,4,3,5,2,5,0,0,1,1,3,2,2,5,2,0,0,9,7,2,0,2,7,0,2,5,3,1,6,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,5,1,2,9,0,0,0,4,5,3,4,3,3,1,0,5,1,2,2,4,2,3,0,7,2,7,2,1,7,2,1,8,1,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,4,2,8,0,4,0,5,9,0,0,0,3,6,0,3,6,0,0,0,2,6,2,0,2,2,6,0,0,9,4,4,1,9,0,2,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,2,3,6,0,5,1,3,7,1,2,3,5,1,0,5,4,0,0,0,2,2,6,0,4,2,2,2,1,8,9,0,0,5,4,3,3,2,2,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +36,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,2,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,"No" +26,1,1,5,6,0,4,1,4,1,0,8,7,2,0,2,2,5,1,1,0,2,0,7,1,3,1,2,5,9,0,4,0,5,8,1,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,2,3,3,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,0,2,2,6,6,0,3,1,5,4,0,4,5,3,0,0,1,5,1,3,1,0,2,4,2,7,5,0,4,9,0,0,0,9,0,0,6,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,2,2,2,9,0,6,1,3,5,1,3,2,2,5,0,2,7,0,0,1,2,3,5,0,1,2,6,2,6,3,5,2,3,8,1,8,1,1,0,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +25,1,1,4,6,1,5,2,2,4,2,4,9,0,0,0,9,0,4,0,0,5,0,0,0,0,5,4,0,9,0,7,2,0,4,5,0,5,5,0,0,4,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +4,1,2,4,1,0,5,2,3,5,1,4,3,4,3,2,4,4,3,1,1,3,2,2,2,2,2,4,1,4,5,6,1,3,6,3,4,2,3,1,0,3,6,0,3,0,0,0,0,0,0,0,0,0,0,0,0,6,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,5,0,3,7,1,2,1,2,6,1,4,5,2,1,0,3,2,3,1,3,2,4,1,3,6,6,2,2,6,3,2,4,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,2,6,1,1,6,0,3,2,6,1,0,6,3,0,0,0,4,5,0,0,2,2,6,0,2,7,4,1,4,6,3,3,2,2,2,0,4,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,"No" +27,1,1,6,6,0,5,0,4,3,1,5,5,4,0,3,4,2,4,0,0,4,1,1,3,1,5,1,1,9,0,7,0,2,9,0,2,4,4,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +8,1,3,4,2,3,3,1,4,6,2,2,0,5,4,0,9,0,0,0,0,4,0,5,0,9,0,0,0,0,9,7,1,2,2,7,0,0,9,0,0,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,2,3,3,8,0,6,1,3,7,0,2,1,3,6,1,2,7,1,0,1,3,3,4,1,2,1,6,1,1,8,8,0,1,8,1,0,2,7,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,1,5,0,5,1,4,2,1,7,6,2,1,1,7,1,1,0,0,4,1,4,1,1,5,4,0,8,1,3,1,6,8,1,6,3,1,0,0,2,3,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,1,5,1,3,6,1,2,0,5,4,4,0,5,2,1,1,2,3,2,3,0,6,0,0,0,9,6,1,3,7,2,3,4,2,1,0,3,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,2,3,0,5,9,0,0,0,4,5,7,1,1,3,1,0,3,2,1,5,2,2,1,0,9,0,5,0,4,6,3,0,2,7,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,4,3,7,2,7,0,0,6,1,3,2,1,7,0,4,5,2,1,0,3,2,4,1,2,3,4,1,0,9,5,2,3,7,2,0,4,4,1,0,5,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,0,3,3,4,5,0,4,4,3,3,0,0,9,0,0,0,3,0,6,0,0,0,5,4,9,0,6,0,3,9,0,2,5,3,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,4,2,8,0,7,0,2,7,2,0,0,4,5,0,3,6,2,2,0,2,3,2,0,2,4,4,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,7,1,2,7,0,2,2,2,6,1,5,4,3,0,2,2,3,1,2,1,3,3,1,2,7,6,2,1,5,4,2,4,4,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,0,2,6,0,3,3,1,6,0,6,3,3,0,4,2,0,1,3,2,5,1,0,0,9,3,3,3,2,7,1,5,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,1,4,1,4,9,0,0,0,3,6,4,5,1,5,0,0,2,1,1,2,2,5,2,0,0,9,7,2,0,2,7,0,2,4,3,1,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,2,5,2,3,1,5,2,2,5,6,3,1,1,4,5,1,0,0,1,3,5,1,1,2,6,1,8,1,5,0,4,8,1,6,3,1,1,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +34,1,1,5,8,1,4,1,4,7,1,2,4,4,2,0,4,5,0,0,0,9,0,0,0,4,1,5,0,9,0,6,2,1,5,4,8,0,1,0,0,2,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,5,1,3,7,0,2,1,2,6,1,2,7,1,0,1,2,5,2,1,1,2,6,1,1,8,8,0,1,8,1,0,4,5,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,4,0,6,6,0,0,0,0,0,0,2,0,0,0,6,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +38,1,2,3,9,0,2,3,4,6,3,0,0,6,3,0,3,6,0,0,0,3,3,4,0,2,0,7,0,6,3,6,0,3,9,0,6,3,0,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,2,5,3,9,0,6,0,3,9,0,0,0,3,6,0,4,5,0,0,0,3,6,0,0,2,3,5,0,3,6,9,0,0,9,0,6,0,3,0,0,3,5,0,2,0,0,6,0,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,5,3,1,1,8,1,1,1,1,8,1,5,3,1,0,0,5,3,1,1,3,3,3,0,1,8,9,0,0,5,4,3,2,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,2,9,1,4,1,4,2,2,5,5,3,1,1,4,4,2,0,0,2,2,4,2,1,2,5,1,7,2,6,0,3,7,2,4,3,2,1,0,3,5,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,"No" +6,2,3,2,2,2,5,0,3,9,0,0,3,3,4,7,2,0,9,0,0,0,0,0,0,6,3,0,0,0,9,7,2,0,2,7,3,6,0,0,0,3,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,3,4,7,0,3,0,6,7,0,2,1,3,5,0,4,5,2,0,2,2,3,2,1,1,3,4,1,6,3,7,2,0,7,2,3,6,1,0,0,3,1,0,0,0,6,0,6,0,0,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,"No" +39,1,3,4,9,0,6,1,3,7,0,2,2,3,5,1,4,4,3,1,1,2,2,1,2,2,4,3,0,2,7,6,2,2,5,4,5,2,2,2,1,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,2,4,0,6,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,4,3,10,0,6,0,3,9,0,0,0,4,5,3,2,5,3,2,5,0,0,0,3,0,6,0,0,0,9,6,2,2,9,0,2,3,5,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,4,1,1,5,2,2,4,0,5,6,3,1,3,2,5,4,0,1,2,2,2,3,1,1,3,2,5,4,4,2,4,4,5,3,3,3,0,0,3,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,0,4,0,5,9,0,0,0,5,4,3,4,3,2,0,0,5,2,1,2,1,3,4,1,2,7,5,4,0,5,4,0,2,3,2,3,8,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,0,4,1,5,6,1,2,2,2,6,1,3,6,0,0,0,3,3,4,0,2,1,5,2,8,1,6,2,2,9,0,6,2,1,0,0,2,4,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,3,3,1,1,6,0,3,9,0,0,0,4,5,8,1,0,9,0,0,0,0,0,9,0,0,0,0,0,9,7,2,0,2,7,0,1,3,5,0,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +39,1,4,3,9,0,7,2,0,9,0,0,0,0,9,0,2,7,0,0,0,2,2,6,0,2,0,7,0,7,2,7,2,0,9,0,0,7,2,0,0,4,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,2,2,2,1,1,6,9,0,0,0,2,7,7,2,1,7,0,0,1,1,1,6,1,2,1,0,0,9,8,1,0,1,8,0,1,7,2,1,6,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,3,3,5,1,2,0,7,4,1,4,4,2,3,4,3,3,2,0,0,3,1,4,3,1,2,3,1,6,3,5,0,4,6,3,3,3,3,1,0,4,5,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,1,4,2,3,5,2,3,2,3,4,2,3,5,1,1,2,2,3,1,2,2,3,4,1,3,6,5,1,3,7,2,3,4,2,1,1,4,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,1,5,1,3,7,1,2,0,2,7,3,4,2,2,1,0,4,3,1,2,3,2,3,1,1,8,7,0,2,5,4,1,3,4,2,1,6,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +25,1,2,5,6,1,5,2,1,6,1,3,3,4,3,1,6,2,2,0,0,5,1,2,1,3,2,4,1,7,2,5,1,3,6,3,6,1,2,1,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +21,1,3,3,5,1,4,1,5,6,2,2,2,3,5,1,3,6,1,0,0,3,3,2,1,2,1,5,2,8,1,6,1,2,8,1,3,5,2,1,1,3,1,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,1,3,3,9,1,5,1,3,7,1,2,2,3,5,2,4,4,3,1,2,2,2,1,3,2,3,3,1,3,6,6,2,1,5,4,3,2,3,2,1,4,3,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,1,2,1,0,5,0,4,0,3,6,6,3,0,3,3,3,0,0,0,6,0,3,0,4,2,2,2,7,2,5,0,4,7,2,5,4,0,0,0,2,6,2,0,0,6,0,5,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,0,2,3,5,6,3,0,0,4,5,0,0,9,0,0,0,0,0,9,0,0,0,9,0,5,4,4,3,3,9,0,0,5,4,0,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,0,4,0,5,9,0,0,0,7,2,0,0,9,0,0,0,0,5,4,0,0,0,7,2,9,0,5,0,4,9,0,4,4,2,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,0,5,1,3,7,1,2,3,2,5,1,3,6,2,1,1,2,3,3,1,1,1,5,2,5,4,5,2,2,7,2,4,4,1,1,1,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,2,4,1,3,3,2,5,5,3,2,2,5,3,1,0,0,3,2,4,1,2,4,3,1,8,1,5,0,4,8,1,6,2,1,0,1,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,0,0,0,0,0,3,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,0,7,2,0,9,0,0,0,3,6,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,7,2,0,2,7,0,0,7,2,0,5,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,2,0,0,2,7,2,5,3,2,0,0,4,2,2,2,2,4,2,1,8,1,9,0,0,5,4,2,4,3,2,0,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,2,10,1,5,1,3,6,1,3,0,4,5,0,3,6,1,0,3,3,0,4,0,2,4,3,0,3,6,6,1,2,6,3,0,0,9,0,0,5,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,1,3,3,9,1,1,2,6,5,1,4,3,2,4,1,2,7,0,0,0,2,4,4,0,1,1,5,3,8,1,4,1,5,8,1,5,4,1,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,5,1,3,6,2,1,1,4,4,1,3,6,2,0,1,3,3,2,2,1,2,5,1,5,4,6,1,2,6,3,2,4,3,1,1,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +26,1,1,6,6,0,5,1,4,1,1,8,7,2,0,0,0,9,0,0,1,1,5,3,0,0,1,3,6,9,0,1,0,8,6,3,8,1,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,1,6,1,2,6,1,2,2,3,4,1,3,5,2,1,1,4,2,2,1,2,3,4,1,2,7,5,2,3,5,4,2,4,3,1,1,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +11,1,3,3,3,2,7,0,0,9,0,0,2,3,4,0,5,4,5,0,0,4,0,1,1,2,4,2,2,1,8,7,2,0,7,2,2,4,3,0,1,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,2,4,7,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,1,3,7,1,2,3,4,3,0,3,6,0,0,0,2,2,6,0,2,3,3,3,5,4,9,0,0,5,4,2,2,3,3,0,5,5,2,0,0,6,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,"No" +1,1,2,4,1,0,2,0,7,6,0,3,5,3,2,3,4,2,7,0,0,0,2,0,4,0,4,1,0,0,9,9,0,0,2,7,2,2,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,3,3,2,3,4,2,2,9,0,0,0,5,4,4,4,2,4,3,0,2,0,2,6,1,0,2,0,0,9,5,4,0,3,6,1,3,4,2,2,6,8,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +7,1,3,2,2,0,7,2,0,7,2,0,0,6,3,2,7,0,2,0,0,7,0,0,2,3,4,0,0,0,9,7,2,0,7,2,0,6,3,0,0,4,6,2,0,0,6,0,4,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +32,1,2,3,7,1,5,1,3,4,1,5,4,2,3,1,3,5,1,0,1,2,3,4,1,2,2,5,1,5,4,5,1,3,8,1,5,3,2,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +29,1,3,4,7,2,4,0,4,7,0,2,0,3,6,1,1,7,2,0,0,3,3,3,1,0,2,5,2,1,8,5,2,2,7,2,0,7,2,0,0,3,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,3,3,3,0,6,0,3,6,0,3,2,4,4,4,3,2,7,0,0,0,2,0,7,0,0,2,0,0,9,9,0,0,4,5,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,2,3,3,2,2,3,4,7,1,2,3,1,5,5,3,2,2,0,0,4,2,2,1,4,1,3,0,9,0,5,1,4,4,5,3,3,2,1,2,5,4,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +22,1,2,3,5,1,2,1,6,4,2,4,6,3,1,4,4,2,2,1,0,3,2,2,2,2,3,3,1,8,1,6,1,2,4,5,5,2,2,1,1,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,1,2,3,1,1,4,0,4,6,1,3,2,4,3,3,4,3,3,0,0,4,2,1,3,2,2,3,2,2,7,6,2,2,4,5,2,2,4,2,1,5,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +1,1,5,3,1,0,5,0,4,9,0,0,0,5,4,0,4,5,4,0,0,1,4,1,0,4,0,5,1,1,8,9,0,0,4,5,1,4,4,1,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,2,7,0,0,9,0,0,1,4,4,0,5,4,3,0,0,5,0,2,1,1,5,3,1,1,8,7,2,0,7,2,1,5,2,0,1,4,4,0,3,0,6,6,0,0,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,1,0,2,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"Yes" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,4,8,1,5,2,3,6,1,3,3,4,2,1,4,4,3,1,0,4,1,2,2,2,2,3,2,4,5,6,1,2,6,3,3,3,3,1,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,4,2,3,2,3,1,5,7,0,2,1,2,7,2,5,3,2,0,0,4,1,3,1,3,1,4,2,9,0,4,3,2,6,3,4,3,2,1,0,3,4,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,2,1,6,0,3,2,3,4,1,2,7,1,0,2,2,1,5,1,2,2,5,1,1,8,7,0,2,7,2,0,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,2,3,8,0,6,0,3,7,0,2,1,6,3,3,5,1,0,0,0,5,4,1,0,3,0,6,1,1,8,6,3,0,5,4,6,1,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,"No" +25,2,2,4,6,0,4,0,5,5,0,4,4,4,2,2,6,2,0,0,0,6,3,0,0,5,2,2,0,2,7,5,0,4,7,2,0,4,5,0,0,4,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,0,5,1,4,2,1,7,3,4,2,2,5,2,1,1,1,7,2,1,1,4,1,4,0,8,1,6,1,3,7,2,3,6,1,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +37,1,3,3,8,0,5,0,4,7,2,0,0,3,6,3,5,2,1,0,0,5,2,2,1,3,3,2,1,8,1,9,0,0,5,4,2,3,3,2,0,5,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +39,1,3,2,9,0,5,0,4,7,0,2,0,1,8,0,3,6,0,0,0,3,3,4,0,1,2,5,2,9,0,7,2,0,9,0,2,6,1,0,0,3,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +7,1,2,4,2,4,5,0,0,5,0,4,4,3,2,0,6,3,6,0,0,0,0,3,4,0,0,2,3,0,9,9,0,0,4,5,4,4,0,3,0,4,6,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,2,3,0,4,2,4,9,0,0,0,5,4,3,5,2,7,0,0,2,0,0,4,4,0,2,0,0,9,5,4,0,0,9,0,3,6,0,0,5,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,2,3,7,1,1,1,4,4,1,2,7,2,1,1,1,4,2,2,1,2,5,1,2,7,4,4,2,7,2,3,3,3,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,1,2,7,0,3,2,5,5,2,3,7,2,0,0,4,5,1,0,0,4,3,2,0,0,0,5,4,9,0,8,0,1,7,2,3,4,2,1,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +29,1,2,3,7,1,6,0,3,5,0,4,4,3,2,2,2,6,3,0,0,2,0,4,2,1,3,4,1,5,4,7,1,2,7,2,4,4,2,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +32,1,3,3,7,0,7,0,2,7,0,2,0,4,5,0,0,9,0,0,0,2,7,0,0,0,0,9,0,9,0,7,0,2,9,0,3,4,2,2,0,4,1,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +2,1,2,5,1,0,9,0,0,9,0,0,0,7,2,6,3,0,6,2,0,2,0,0,7,2,0,0,0,0,9,9,0,0,0,9,2,3,3,2,1,5,6,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,4,0,5,5,2,3,2,2,6,0,4,5,0,0,0,4,4,1,0,0,2,7,1,1,8,6,2,2,8,1,4,1,0,4,0,5,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,2,5,0,3,1,5,3,4,2,1,7,1,0,4,5,0,0,0,4,2,3,0,3,2,4,0,7,2,4,1,4,9,0,3,5,2,0,0,3,3,2,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +36,1,2,2,8,0,4,2,3,5,1,3,2,7,1,0,4,5,0,0,0,3,2,4,0,1,1,7,1,9,0,6,0,3,7,2,2,4,3,0,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,0,7,9,0,0,0,6,3,0,0,9,0,0,0,2,4,4,0,0,0,7,2,9,0,7,2,0,9,0,5,4,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,5,0,4,2,0,7,4,3,2,2,4,3,2,0,0,4,2,2,1,1,4,3,1,3,6,7,0,2,7,2,5,0,3,2,0,3,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +41,1,3,3,10,0,7,1,2,8,1,1,1,5,3,0,3,6,2,0,2,3,2,3,1,2,3,4,1,3,6,6,2,2,6,3,2,7,1,1,0,3,4,0,0,3,6,0,0,0,3,4,0,0,0,0,0,0,6,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,1,3,5,1,4,1,4,2,2,5,5,3,1,1,6,3,1,0,0,4,1,4,1,2,5,2,1,8,1,4,0,5,8,1,7,2,1,0,1,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,4,1,5,6,2,1,1,4,5,2,5,3,1,0,0,6,1,2,1,3,4,3,0,1,8,7,2,0,8,1,1,3,6,1,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,2,2,5,7,0,2,0,6,3,0,2,7,0,0,0,3,4,3,0,2,0,7,0,9,0,7,2,0,9,0,6,3,0,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +3,1,2,3,1,0,6,1,3,5,0,4,3,3,4,1,3,5,1,0,1,6,1,3,1,2,2,3,3,2,7,7,0,2,7,2,0,5,4,0,0,4,6,2,0,0,6,0,0,0,0,3,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,"No" +6,1,3,3,2,3,5,2,0,7,0,2,0,3,6,7,1,2,7,0,0,0,1,2,7,0,1,1,2,2,7,8,1,0,4,5,1,1,5,4,0,6,8,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +36,1,1,3,8,1,6,1,2,1,0,8,8,1,1,0,4,5,1,0,2,2,4,1,0,4,1,5,1,2,7,3,0,6,9,0,8,1,1,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,4,7,0,5,1,3,6,1,3,1,5,4,0,0,9,0,0,0,0,3,6,0,0,0,9,0,9,0,6,1,2,6,3,5,4,0,0,0,3,2,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,3,3,1,5,2,1,6,1,3,2,3,5,1,3,5,1,0,0,3,3,3,1,2,2,5,1,8,1,5,1,3,6,3,5,2,2,1,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,2,4,7,1,2,8,0,1,5,4,0,1,0,0,3,3,3,0,5,1,3,0,8,1,7,1,2,6,3,3,5,1,0,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +17,1,2,4,4,0,5,3,2,5,1,4,4,4,2,1,4,5,2,1,1,3,1,4,2,1,2,4,1,4,5,6,1,2,7,2,4,2,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,2,3,2,3,1,5,6,1,3,2,2,6,1,7,2,1,1,0,5,1,3,1,4,3,2,1,7,2,6,1,2,6,3,2,3,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +8,1,3,4,2,0,2,0,7,9,0,0,0,5,4,3,5,1,5,0,1,3,1,0,5,3,1,1,0,5,4,9,0,0,5,4,1,5,4,1,0,4,7,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,3,2,0,0,6,0,0,0,0,0,0,0,6,0,0,0,4,0,0,0,0,4,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,"No" +2,1,3,3,1,0,2,2,5,9,0,0,0,4,5,2,6,2,2,5,0,2,0,0,3,2,4,0,0,9,0,5,4,0,2,7,0,0,7,2,0,6,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"No" +34,1,4,2,8,1,4,1,4,7,1,2,0,0,9,0,3,6,3,0,0,3,5,0,0,0,5,4,0,0,9,6,2,1,5,4,0,6,0,3,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +23,1,1,2,5,2,4,1,3,3,2,5,6,2,2,2,5,4,1,0,0,2,3,4,1,2,3,5,1,8,1,5,0,4,8,1,7,2,1,0,1,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +23,1,2,3,5,1,4,2,4,3,2,4,4,4,1,1,6,3,1,0,0,4,1,4,1,2,5,3,1,8,1,5,0,4,8,1,6,2,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,2,3,3,8,0,4,0,5,7,0,2,2,1,6,0,2,7,0,0,0,3,6,0,0,1,1,6,2,4,5,5,2,3,8,1,3,4,2,0,0,3,3,1,0,0,6,0,0,0,0,0,0,0,4,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,4,0,5,9,0,0,0,3,6,1,2,7,1,0,0,3,4,2,1,1,1,6,1,5,4,6,1,2,7,2,2,4,3,1,0,4,3,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,3,9,2,4,1,3,8,0,1,1,5,4,1,4,4,1,0,0,6,1,3,0,3,2,4,0,5,4,5,2,3,6,3,2,4,3,1,0,4,5,0,0,0,7,0,0,0,3,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,"No" +6,1,5,3,2,2,4,0,4,4,2,4,0,1,8,4,5,0,4,0,0,0,1,4,4,4,1,1,0,0,9,5,0,4,7,2,4,2,2,3,1,5,8,2,0,0,6,0,3,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +9,1,2,3,3,0,4,1,5,4,3,3,2,3,4,1,4,5,1,0,0,2,3,4,1,1,3,4,1,8,1,6,1,2,8,1,3,4,2,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,2,3,7,0,6,0,3,3,0,6,3,4,3,0,3,6,2,0,0,2,4,4,1,0,2,4,3,9,0,5,0,4,5,4,5,3,1,0,0,2,1,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +22,2,3,3,5,0,5,0,4,7,0,2,0,2,7,2,1,7,0,2,0,1,1,5,2,0,0,7,0,4,5,6,1,2,7,2,0,6,3,0,0,4,2,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,2,3,8,1,4,1,4,5,1,4,3,3,3,0,4,5,1,1,1,4,2,2,1,2,3,4,1,2,7,5,1,4,7,2,3,3,3,0,0,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,2,4,7,2,6,2,2,2,0,7,4,3,2,0,4,6,1,0,1,1,1,7,0,1,1,7,1,1,8,5,0,4,9,0,4,3,3,0,0,3,2,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,4,3,8,1,4,1,5,8,1,1,1,2,7,2,2,6,3,1,1,2,4,1,3,1,1,5,1,4,5,5,4,1,7,2,4,2,4,0,1,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,3,3,1,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,6,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,3,3,0,5,2,3,7,1,1,1,3,6,2,5,3,4,0,0,3,2,0,3,2,3,3,0,1,8,8,0,1,5,4,0,5,4,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +3,2,3,3,1,0,6,1,2,6,0,3,1,4,4,3,2,5,1,0,1,4,2,4,1,3,2,4,1,3,6,7,0,2,7,2,0,4,5,0,0,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +11,1,3,3,3,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,6,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,0,3,0,6,9,0,0,0,3,6,5,2,2,2,0,0,5,0,2,2,5,0,2,0,0,9,6,0,3,9,0,0,4,5,0,0,4,8,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,2,3,9,2,4,2,3,5,2,3,2,4,3,1,3,5,1,1,0,3,3,2,2,2,2,5,1,6,3,7,1,2,7,2,3,4,3,1,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +31,1,3,3,7,1,4,1,5,6,2,2,3,2,5,1,2,7,1,0,0,2,4,3,1,1,1,4,4,7,2,6,1,2,8,1,4,4,1,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,2,4,8,0,5,0,5,9,0,0,0,9,0,0,0,9,5,0,0,0,5,0,0,0,5,4,0,5,5,9,0,0,9,0,5,5,0,0,0,2,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,3,3,3,3,2,1,5,8,0,1,2,1,7,1,5,3,7,0,0,1,1,1,3,3,3,2,1,6,3,2,3,5,8,1,1,1,8,0,0,4,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +37,1,3,3,8,2,4,0,4,7,2,0,0,5,4,2,4,3,3,0,0,5,1,2,3,3,1,3,0,2,7,7,2,0,6,3,2,4,3,1,0,4,4,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +35,1,3,3,8,0,6,1,3,7,0,2,1,4,5,1,2,6,1,0,2,3,2,3,1,2,3,4,2,2,7,7,1,2,7,2,1,4,4,1,0,4,5,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,3,3,2,1,6,2,2,8,0,1,1,2,6,4,3,2,5,1,0,2,2,1,4,2,1,3,0,2,7,6,3,1,4,5,1,1,5,3,0,6,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +9,1,3,2,3,1,4,2,3,6,1,2,1,3,6,2,5,3,2,1,0,5,1,3,2,3,3,3,1,7,2,5,2,3,7,2,2,3,4,0,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +10,1,4,2,3,1,5,1,4,8,1,1,1,2,7,3,5,2,2,0,0,5,2,1,2,4,2,2,0,1,8,9,0,0,5,4,2,4,4,0,0,4,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,2,3,8,1,4,1,4,6,2,3,3,4,3,1,4,5,1,1,0,3,2,4,1,2,2,5,1,5,4,6,1,3,7,2,3,4,3,1,0,3,3,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +24,1,3,3,5,1,4,1,4,6,0,3,2,2,5,1,4,5,2,1,1,3,3,2,2,2,2,4,1,3,6,6,1,2,6,3,3,2,3,1,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,2,4,8,0,5,0,4,7,0,2,2,5,2,3,4,2,5,0,0,4,0,0,5,0,3,2,0,6,3,6,3,0,2,7,3,4,3,0,0,4,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +11,1,3,2,3,0,5,0,4,9,0,0,0,0,9,2,3,4,4,0,0,4,0,2,4,2,0,4,0,0,9,9,0,0,5,4,2,2,6,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,4,3,7,1,4,1,4,7,1,2,0,2,7,2,0,7,5,0,0,2,0,3,2,2,5,2,0,6,3,6,2,1,5,4,7,2,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +41,1,2,3,10,0,9,0,0,9,0,0,3,5,2,0,6,3,0,0,0,6,2,2,1,2,2,2,3,4,5,9,0,0,7,2,3,2,4,0,0,3,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +8,1,3,3,2,1,5,1,4,6,1,3,1,3,5,3,3,3,3,0,0,5,1,2,3,2,3,3,0,1,8,8,1,0,6,3,1,3,5,1,0,5,7,2,0,0,6,0,4,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,"Yes" +23,1,1,2,5,1,4,2,4,2,2,6,6,3,1,2,4,4,2,0,0,3,2,3,2,2,2,5,1,8,1,6,0,3,8,1,2,6,2,1,0,3,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +32,1,2,4,7,0,6,1,3,5,0,4,4,4,2,2,3,5,2,0,0,4,3,2,2,3,0,5,2,7,2,6,0,3,9,0,5,2,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +35,1,3,3,8,0,5,0,4,4,0,5,3,2,5,1,3,6,0,0,2,2,4,3,0,1,3,5,1,2,7,5,1,3,7,2,3,3,3,0,0,3,5,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,2,3,8,1,5,2,3,5,1,3,0,2,7,0,2,7,0,0,0,5,0,4,0,0,4,3,3,9,0,6,1,3,7,2,3,3,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +13,1,3,3,3,1,5,1,3,7,2,1,1,3,5,4,4,2,3,1,1,4,2,1,3,3,2,2,1,1,8,6,3,1,5,4,2,4,4,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +30,1,3,3,7,0,4,1,4,6,1,3,1,4,5,1,3,5,3,0,1,4,1,2,1,2,4,3,1,2,7,4,0,5,7,2,2,2,2,4,1,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,2,4,4,8,1,1,1,4,5,0,5,4,0,0,0,4,1,5,0,3,2,4,0,5,4,8,1,0,9,0,8,1,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +22,1,2,2,5,0,3,1,6,6,2,1,1,4,4,2,2,5,2,0,0,3,2,3,2,1,2,5,1,8,1,7,1,2,7,2,2,6,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,4,2,9,0,5,1,4,7,1,2,1,1,8,0,1,8,1,0,0,2,4,4,1,1,1,5,4,8,1,6,1,2,9,0,2,6,2,0,0,3,5,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +8,1,4,3,2,0,6,1,2,7,1,1,0,3,6,5,3,3,0,0,0,4,3,3,4,0,3,3,0,3,6,8,1,1,4,5,0,1,5,4,0,7,7,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +27,1,1,6,6,1,5,2,3,5,1,3,5,4,1,4,5,1,5,0,0,4,0,0,5,4,1,0,1,8,1,6,1,3,7,2,5,4,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +9,1,3,3,3,0,5,0,4,7,0,2,2,4,3,0,7,2,0,0,0,7,0,2,0,3,5,2,0,9,0,9,0,0,9,0,4,5,0,0,0,3,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,3,7,2,3,0,5,4,2,4,3,2,5,0,4,5,0,0,0,2,2,5,0,2,3,3,2,9,0,3,0,6,9,0,7,2,0,0,0,2,1,2,0,0,6,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,0,6,1,3,7,0,2,3,2,5,1,6,3,3,1,1,2,2,1,1,1,4,4,0,3,6,6,2,2,5,4,5,2,2,2,1,4,6,0,4,0,6,6,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,4,1,1,4,1,4,8,0,1,2,5,3,3,3,4,5,1,0,2,1,1,3,2,2,3,1,3,6,6,3,1,3,6,2,1,4,2,2,7,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +36,1,3,3,8,0,6,0,3,8,0,1,0,3,6,2,5,3,3,0,2,3,2,1,3,1,3,3,1,3,6,7,2,0,6,3,2,4,3,0,0,4,3,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +23,1,2,2,5,2,4,1,3,3,3,4,4,3,2,2,4,4,1,0,0,2,3,4,1,2,3,5,1,8,1,6,0,3,8,1,6,3,1,0,1,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,6,0,3,2,3,5,1,2,6,1,0,1,4,2,4,1,2,2,5,2,2,7,7,0,2,7,2,0,4,5,0,0,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +38,2,3,2,9,0,6,1,2,7,1,1,0,4,5,1,6,3,0,0,0,1,4,5,1,0,1,8,0,5,4,8,1,1,4,5,0,4,5,1,0,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +38,2,3,4,9,0,9,0,0,9,0,0,0,4,5,1,0,8,0,0,1,2,3,4,1,0,1,6,2,6,3,5,0,4,7,2,2,6,1,1,0,4,4,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +31,1,3,2,7,2,2,0,5,6,1,3,2,2,6,0,3,6,1,0,2,0,4,4,0,0,5,4,1,7,2,6,0,3,9,0,7,2,0,0,0,2,1,2,0,0,0,0,0,0,0,0,0,3,5,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,"No" +35,1,2,3,8,0,7,0,2,4,0,5,5,1,3,1,2,7,0,0,0,2,3,5,0,0,3,6,0,3,6,5,0,4,8,1,5,2,3,0,0,2,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,2,8,0,4,0,5,9,0,0,0,3,6,0,4,5,0,0,0,2,5,3,0,2,2,5,2,0,9,9,0,0,9,0,1,5,4,0,0,4,3,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +39,1,3,2,9,1,5,1,3,7,1,2,2,3,5,1,5,3,3,0,3,1,2,2,3,2,3,3,1,3,6,5,3,1,4,5,3,3,3,1,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +40,1,3,4,10,0,7,0,2,6,0,3,2,2,5,0,5,5,3,0,5,1,0,1,3,1,5,1,0,0,9,3,3,3,2,7,2,5,3,0,0,3,3,0,0,3,6,0,0,0,1,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,"No" +3,1,2,4,1,1,6,1,2,5,1,3,2,4,3,1,4,4,2,1,0,4,1,3,2,2,3,4,1,3,6,6,1,3,7,2,3,4,3,1,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +1,1,3,3,1,1,4,2,3,7,1,1,1,4,4,4,4,2,6,0,0,2,1,1,4,2,3,2,0,0,9,6,3,0,3,6,1,3,4,2,0,5,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +13,1,2,3,3,0,2,0,7,5,2,3,3,3,5,2,4,4,2,0,0,2,2,4,2,2,1,4,2,9,0,6,0,3,7,2,3,4,3,0,0,4,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"No" +3,1,2,3,1,0,6,0,3,6,0,3,0,7,2,0,7,2,0,0,0,5,2,3,0,2,3,5,0,0,9,5,2,2,5,4,0,4,4,2,0,5,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +36,1,1,2,8,0,6,1,2,1,2,6,5,3,2,2,5,2,2,0,0,4,1,3,2,3,3,3,0,9,0,5,1,3,5,4,4,3,3,0,0,3,3,2,0,0,6,0,4,0,0,0,0,0,3,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,"No" +35,1,4,4,8,1,4,1,4,6,0,3,2,2,5,0,0,9,2,1,1,3,3,2,0,4,5,0,0,3,6,6,1,2,6,3,0,9,0,0,0,4,5,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,"No" +33,1,3,4,8,0,6,0,3,5,1,4,3,3,4,0,1,8,1,0,0,2,3,5,1,1,1,4,4,7,2,4,0,5,8,1,5,3,1,1,0,3,3,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"Yes" +34,1,3,2,8,0,7,0,2,7,2,0,0,4,5,0,2,7,0,2,0,2,4,2,0,0,4,5,0,2,7,5,4,0,9,0,0,5,4,0,0,4,6,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" +33,1,3,3,8,0,6,1,2,7,1,2,1,4,4,1,2,6,1,0,1,3,2,4,1,1,2,6,1,5,4,5,2,3,6,3,2,5,2,1,0,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"No" diff --git a/Data/Carseats.csv b/Data/Carseats.csv index 701bd67..242c6d2 100644 --- a/Data/Carseats.csv +++ b/Data/Carseats.csv @@ -1,401 +1,401 @@ -"","Sales","CompPrice","Income","Advertising","Population","Price","ShelveLoc","Age","Education","Urban","US" -"1",9.5,138,73,11,276,120,"Bad",42,17,"Yes","Yes" -"2",11.22,111,48,16,260,83,"Good",65,10,"Yes","Yes" -"3",10.06,113,35,10,269,80,"Medium",59,12,"Yes","Yes" -"4",7.4,117,100,4,466,97,"Medium",55,14,"Yes","Yes" -"5",4.15,141,64,3,340,128,"Bad",38,13,"Yes","No" -"6",10.81,124,113,13,501,72,"Bad",78,16,"No","Yes" -"7",6.63,115,105,0,45,108,"Medium",71,15,"Yes","No" -"8",11.85,136,81,15,425,120,"Good",67,10,"Yes","Yes" -"9",6.54,132,110,0,108,124,"Medium",76,10,"No","No" -"10",4.69,132,113,0,131,124,"Medium",76,17,"No","Yes" -"11",9.01,121,78,9,150,100,"Bad",26,10,"No","Yes" -"12",11.96,117,94,4,503,94,"Good",50,13,"Yes","Yes" -"13",3.98,122,35,2,393,136,"Medium",62,18,"Yes","No" -"14",10.96,115,28,11,29,86,"Good",53,18,"Yes","Yes" -"15",11.17,107,117,11,148,118,"Good",52,18,"Yes","Yes" -"16",8.71,149,95,5,400,144,"Medium",76,18,"No","No" -"17",7.58,118,32,0,284,110,"Good",63,13,"Yes","No" -"18",12.29,147,74,13,251,131,"Good",52,10,"Yes","Yes" -"19",13.91,110,110,0,408,68,"Good",46,17,"No","Yes" -"20",8.73,129,76,16,58,121,"Medium",69,12,"Yes","Yes" -"21",6.41,125,90,2,367,131,"Medium",35,18,"Yes","Yes" -"22",12.13,134,29,12,239,109,"Good",62,18,"No","Yes" -"23",5.08,128,46,6,497,138,"Medium",42,13,"Yes","No" -"24",5.87,121,31,0,292,109,"Medium",79,10,"Yes","No" -"25",10.14,145,119,16,294,113,"Bad",42,12,"Yes","Yes" -"26",14.9,139,32,0,176,82,"Good",54,11,"No","No" -"27",8.33,107,115,11,496,131,"Good",50,11,"No","Yes" -"28",5.27,98,118,0,19,107,"Medium",64,17,"Yes","No" -"29",2.99,103,74,0,359,97,"Bad",55,11,"Yes","Yes" -"30",7.81,104,99,15,226,102,"Bad",58,17,"Yes","Yes" -"31",13.55,125,94,0,447,89,"Good",30,12,"Yes","No" -"32",8.25,136,58,16,241,131,"Medium",44,18,"Yes","Yes" -"33",6.2,107,32,12,236,137,"Good",64,10,"No","Yes" -"34",8.77,114,38,13,317,128,"Good",50,16,"Yes","Yes" -"35",2.67,115,54,0,406,128,"Medium",42,17,"Yes","Yes" -"36",11.07,131,84,11,29,96,"Medium",44,17,"No","Yes" -"37",8.89,122,76,0,270,100,"Good",60,18,"No","No" -"38",4.95,121,41,5,412,110,"Medium",54,10,"Yes","Yes" -"39",6.59,109,73,0,454,102,"Medium",65,15,"Yes","No" -"40",3.24,130,60,0,144,138,"Bad",38,10,"No","No" -"41",2.07,119,98,0,18,126,"Bad",73,17,"No","No" -"42",7.96,157,53,0,403,124,"Bad",58,16,"Yes","No" -"43",10.43,77,69,0,25,24,"Medium",50,18,"Yes","No" -"44",4.12,123,42,11,16,134,"Medium",59,13,"Yes","Yes" -"45",4.16,85,79,6,325,95,"Medium",69,13,"Yes","Yes" -"46",4.56,141,63,0,168,135,"Bad",44,12,"Yes","Yes" -"47",12.44,127,90,14,16,70,"Medium",48,15,"No","Yes" -"48",4.38,126,98,0,173,108,"Bad",55,16,"Yes","No" -"49",3.91,116,52,0,349,98,"Bad",69,18,"Yes","No" -"50",10.61,157,93,0,51,149,"Good",32,17,"Yes","No" -"51",1.42,99,32,18,341,108,"Bad",80,16,"Yes","Yes" -"52",4.42,121,90,0,150,108,"Bad",75,16,"Yes","No" -"53",7.91,153,40,3,112,129,"Bad",39,18,"Yes","Yes" -"54",6.92,109,64,13,39,119,"Medium",61,17,"Yes","Yes" -"55",4.9,134,103,13,25,144,"Medium",76,17,"No","Yes" -"56",6.85,143,81,5,60,154,"Medium",61,18,"Yes","Yes" -"57",11.91,133,82,0,54,84,"Medium",50,17,"Yes","No" -"58",0.91,93,91,0,22,117,"Bad",75,11,"Yes","No" -"59",5.42,103,93,15,188,103,"Bad",74,16,"Yes","Yes" -"60",5.21,118,71,4,148,114,"Medium",80,13,"Yes","No" -"61",8.32,122,102,19,469,123,"Bad",29,13,"Yes","Yes" -"62",7.32,105,32,0,358,107,"Medium",26,13,"No","No" -"63",1.82,139,45,0,146,133,"Bad",77,17,"Yes","Yes" -"64",8.47,119,88,10,170,101,"Medium",61,13,"Yes","Yes" -"65",7.8,100,67,12,184,104,"Medium",32,16,"No","Yes" -"66",4.9,122,26,0,197,128,"Medium",55,13,"No","No" -"67",8.85,127,92,0,508,91,"Medium",56,18,"Yes","No" -"68",9.01,126,61,14,152,115,"Medium",47,16,"Yes","Yes" -"69",13.39,149,69,20,366,134,"Good",60,13,"Yes","Yes" -"70",7.99,127,59,0,339,99,"Medium",65,12,"Yes","No" -"71",9.46,89,81,15,237,99,"Good",74,12,"Yes","Yes" -"72",6.5,148,51,16,148,150,"Medium",58,17,"No","Yes" -"73",5.52,115,45,0,432,116,"Medium",25,15,"Yes","No" -"74",12.61,118,90,10,54,104,"Good",31,11,"No","Yes" -"75",6.2,150,68,5,125,136,"Medium",64,13,"No","Yes" -"76",8.55,88,111,23,480,92,"Bad",36,16,"No","Yes" -"77",10.64,102,87,10,346,70,"Medium",64,15,"Yes","Yes" -"78",7.7,118,71,12,44,89,"Medium",67,18,"No","Yes" -"79",4.43,134,48,1,139,145,"Medium",65,12,"Yes","Yes" -"80",9.14,134,67,0,286,90,"Bad",41,13,"Yes","No" -"81",8.01,113,100,16,353,79,"Bad",68,11,"Yes","Yes" -"82",7.52,116,72,0,237,128,"Good",70,13,"Yes","No" -"83",11.62,151,83,4,325,139,"Good",28,17,"Yes","Yes" -"84",4.42,109,36,7,468,94,"Bad",56,11,"Yes","Yes" -"85",2.23,111,25,0,52,121,"Bad",43,18,"No","No" -"86",8.47,125,103,0,304,112,"Medium",49,13,"No","No" -"87",8.7,150,84,9,432,134,"Medium",64,15,"Yes","No" -"88",11.7,131,67,7,272,126,"Good",54,16,"No","Yes" -"89",6.56,117,42,7,144,111,"Medium",62,10,"Yes","Yes" -"90",7.95,128,66,3,493,119,"Medium",45,16,"No","No" -"91",5.33,115,22,0,491,103,"Medium",64,11,"No","No" -"92",4.81,97,46,11,267,107,"Medium",80,15,"Yes","Yes" -"93",4.53,114,113,0,97,125,"Medium",29,12,"Yes","No" -"94",8.86,145,30,0,67,104,"Medium",55,17,"Yes","No" -"95",8.39,115,97,5,134,84,"Bad",55,11,"Yes","Yes" -"96",5.58,134,25,10,237,148,"Medium",59,13,"Yes","Yes" -"97",9.48,147,42,10,407,132,"Good",73,16,"No","Yes" -"98",7.45,161,82,5,287,129,"Bad",33,16,"Yes","Yes" -"99",12.49,122,77,24,382,127,"Good",36,16,"No","Yes" -"100",4.88,121,47,3,220,107,"Bad",56,16,"No","Yes" -"101",4.11,113,69,11,94,106,"Medium",76,12,"No","Yes" -"102",6.2,128,93,0,89,118,"Medium",34,18,"Yes","No" -"103",5.3,113,22,0,57,97,"Medium",65,16,"No","No" -"104",5.07,123,91,0,334,96,"Bad",78,17,"Yes","Yes" -"105",4.62,121,96,0,472,138,"Medium",51,12,"Yes","No" -"106",5.55,104,100,8,398,97,"Medium",61,11,"Yes","Yes" -"107",0.16,102,33,0,217,139,"Medium",70,18,"No","No" -"108",8.55,134,107,0,104,108,"Medium",60,12,"Yes","No" -"109",3.47,107,79,2,488,103,"Bad",65,16,"Yes","No" -"110",8.98,115,65,0,217,90,"Medium",60,17,"No","No" -"111",9,128,62,7,125,116,"Medium",43,14,"Yes","Yes" -"112",6.62,132,118,12,272,151,"Medium",43,14,"Yes","Yes" -"113",6.67,116,99,5,298,125,"Good",62,12,"Yes","Yes" -"114",6.01,131,29,11,335,127,"Bad",33,12,"Yes","Yes" -"115",9.31,122,87,9,17,106,"Medium",65,13,"Yes","Yes" -"116",8.54,139,35,0,95,129,"Medium",42,13,"Yes","No" -"117",5.08,135,75,0,202,128,"Medium",80,10,"No","No" -"118",8.8,145,53,0,507,119,"Medium",41,12,"Yes","No" -"119",7.57,112,88,2,243,99,"Medium",62,11,"Yes","Yes" -"120",7.37,130,94,8,137,128,"Medium",64,12,"Yes","Yes" -"121",6.87,128,105,11,249,131,"Medium",63,13,"Yes","Yes" -"122",11.67,125,89,10,380,87,"Bad",28,10,"Yes","Yes" -"123",6.88,119,100,5,45,108,"Medium",75,10,"Yes","Yes" -"124",8.19,127,103,0,125,155,"Good",29,15,"No","Yes" -"125",8.87,131,113,0,181,120,"Good",63,14,"Yes","No" -"126",9.34,89,78,0,181,49,"Medium",43,15,"No","No" -"127",11.27,153,68,2,60,133,"Good",59,16,"Yes","Yes" -"128",6.52,125,48,3,192,116,"Medium",51,14,"Yes","Yes" -"129",4.96,133,100,3,350,126,"Bad",55,13,"Yes","Yes" -"130",4.47,143,120,7,279,147,"Bad",40,10,"No","Yes" -"131",8.41,94,84,13,497,77,"Medium",51,12,"Yes","Yes" -"132",6.5,108,69,3,208,94,"Medium",77,16,"Yes","No" -"133",9.54,125,87,9,232,136,"Good",72,10,"Yes","Yes" -"134",7.62,132,98,2,265,97,"Bad",62,12,"Yes","Yes" -"135",3.67,132,31,0,327,131,"Medium",76,16,"Yes","No" -"136",6.44,96,94,14,384,120,"Medium",36,18,"No","Yes" -"137",5.17,131,75,0,10,120,"Bad",31,18,"No","No" -"138",6.52,128,42,0,436,118,"Medium",80,11,"Yes","No" -"139",10.27,125,103,12,371,109,"Medium",44,10,"Yes","Yes" -"140",12.3,146,62,10,310,94,"Medium",30,13,"No","Yes" -"141",6.03,133,60,10,277,129,"Medium",45,18,"Yes","Yes" -"142",6.53,140,42,0,331,131,"Bad",28,15,"Yes","No" -"143",7.44,124,84,0,300,104,"Medium",77,15,"Yes","No" -"144",0.53,122,88,7,36,159,"Bad",28,17,"Yes","Yes" -"145",9.09,132,68,0,264,123,"Good",34,11,"No","No" -"146",8.77,144,63,11,27,117,"Medium",47,17,"Yes","Yes" -"147",3.9,114,83,0,412,131,"Bad",39,14,"Yes","No" -"148",10.51,140,54,9,402,119,"Good",41,16,"No","Yes" -"149",7.56,110,119,0,384,97,"Medium",72,14,"No","Yes" -"150",11.48,121,120,13,140,87,"Medium",56,11,"Yes","Yes" -"151",10.49,122,84,8,176,114,"Good",57,10,"No","Yes" -"152",10.77,111,58,17,407,103,"Good",75,17,"No","Yes" -"153",7.64,128,78,0,341,128,"Good",45,13,"No","No" -"154",5.93,150,36,7,488,150,"Medium",25,17,"No","Yes" -"155",6.89,129,69,10,289,110,"Medium",50,16,"No","Yes" -"156",7.71,98,72,0,59,69,"Medium",65,16,"Yes","No" -"157",7.49,146,34,0,220,157,"Good",51,16,"Yes","No" -"158",10.21,121,58,8,249,90,"Medium",48,13,"No","Yes" -"159",12.53,142,90,1,189,112,"Good",39,10,"No","Yes" -"160",9.32,119,60,0,372,70,"Bad",30,18,"No","No" -"161",4.67,111,28,0,486,111,"Medium",29,12,"No","No" -"162",2.93,143,21,5,81,160,"Medium",67,12,"No","Yes" -"163",3.63,122,74,0,424,149,"Medium",51,13,"Yes","No" -"164",5.68,130,64,0,40,106,"Bad",39,17,"No","No" -"165",8.22,148,64,0,58,141,"Medium",27,13,"No","Yes" -"166",0.37,147,58,7,100,191,"Bad",27,15,"Yes","Yes" -"167",6.71,119,67,17,151,137,"Medium",55,11,"Yes","Yes" -"168",6.71,106,73,0,216,93,"Medium",60,13,"Yes","No" -"169",7.3,129,89,0,425,117,"Medium",45,10,"Yes","No" -"170",11.48,104,41,15,492,77,"Good",73,18,"Yes","Yes" -"171",8.01,128,39,12,356,118,"Medium",71,10,"Yes","Yes" -"172",12.49,93,106,12,416,55,"Medium",75,15,"Yes","Yes" -"173",9.03,104,102,13,123,110,"Good",35,16,"Yes","Yes" -"174",6.38,135,91,5,207,128,"Medium",66,18,"Yes","Yes" -"175",0,139,24,0,358,185,"Medium",79,15,"No","No" -"176",7.54,115,89,0,38,122,"Medium",25,12,"Yes","No" -"177",5.61,138,107,9,480,154,"Medium",47,11,"No","Yes" -"178",10.48,138,72,0,148,94,"Medium",27,17,"Yes","Yes" -"179",10.66,104,71,14,89,81,"Medium",25,14,"No","Yes" -"180",7.78,144,25,3,70,116,"Medium",77,18,"Yes","Yes" -"181",4.94,137,112,15,434,149,"Bad",66,13,"Yes","Yes" -"182",7.43,121,83,0,79,91,"Medium",68,11,"Yes","No" -"183",4.74,137,60,4,230,140,"Bad",25,13,"Yes","No" -"184",5.32,118,74,6,426,102,"Medium",80,18,"Yes","Yes" -"185",9.95,132,33,7,35,97,"Medium",60,11,"No","Yes" -"186",10.07,130,100,11,449,107,"Medium",64,10,"Yes","Yes" -"187",8.68,120,51,0,93,86,"Medium",46,17,"No","No" -"188",6.03,117,32,0,142,96,"Bad",62,17,"Yes","No" -"189",8.07,116,37,0,426,90,"Medium",76,15,"Yes","No" -"190",12.11,118,117,18,509,104,"Medium",26,15,"No","Yes" -"191",8.79,130,37,13,297,101,"Medium",37,13,"No","Yes" -"192",6.67,156,42,13,170,173,"Good",74,14,"Yes","Yes" -"193",7.56,108,26,0,408,93,"Medium",56,14,"No","No" -"194",13.28,139,70,7,71,96,"Good",61,10,"Yes","Yes" -"195",7.23,112,98,18,481,128,"Medium",45,11,"Yes","Yes" -"196",4.19,117,93,4,420,112,"Bad",66,11,"Yes","Yes" -"197",4.1,130,28,6,410,133,"Bad",72,16,"Yes","Yes" -"198",2.52,124,61,0,333,138,"Medium",76,16,"Yes","No" -"199",3.62,112,80,5,500,128,"Medium",69,10,"Yes","Yes" -"200",6.42,122,88,5,335,126,"Medium",64,14,"Yes","Yes" -"201",5.56,144,92,0,349,146,"Medium",62,12,"No","No" -"202",5.94,138,83,0,139,134,"Medium",54,18,"Yes","No" -"203",4.1,121,78,4,413,130,"Bad",46,10,"No","Yes" -"204",2.05,131,82,0,132,157,"Bad",25,14,"Yes","No" -"205",8.74,155,80,0,237,124,"Medium",37,14,"Yes","No" -"206",5.68,113,22,1,317,132,"Medium",28,12,"Yes","No" -"207",4.97,162,67,0,27,160,"Medium",77,17,"Yes","Yes" -"208",8.19,111,105,0,466,97,"Bad",61,10,"No","No" -"209",7.78,86,54,0,497,64,"Bad",33,12,"Yes","No" -"210",3.02,98,21,11,326,90,"Bad",76,11,"No","Yes" -"211",4.36,125,41,2,357,123,"Bad",47,14,"No","Yes" -"212",9.39,117,118,14,445,120,"Medium",32,15,"Yes","Yes" -"213",12.04,145,69,19,501,105,"Medium",45,11,"Yes","Yes" -"214",8.23,149,84,5,220,139,"Medium",33,10,"Yes","Yes" -"215",4.83,115,115,3,48,107,"Medium",73,18,"Yes","Yes" -"216",2.34,116,83,15,170,144,"Bad",71,11,"Yes","Yes" -"217",5.73,141,33,0,243,144,"Medium",34,17,"Yes","No" -"218",4.34,106,44,0,481,111,"Medium",70,14,"No","No" -"219",9.7,138,61,12,156,120,"Medium",25,14,"Yes","Yes" -"220",10.62,116,79,19,359,116,"Good",58,17,"Yes","Yes" -"221",10.59,131,120,15,262,124,"Medium",30,10,"Yes","Yes" -"222",6.43,124,44,0,125,107,"Medium",80,11,"Yes","No" -"223",7.49,136,119,6,178,145,"Medium",35,13,"Yes","Yes" -"224",3.45,110,45,9,276,125,"Medium",62,14,"Yes","Yes" -"225",4.1,134,82,0,464,141,"Medium",48,13,"No","No" -"226",6.68,107,25,0,412,82,"Bad",36,14,"Yes","No" -"227",7.8,119,33,0,245,122,"Good",56,14,"Yes","No" -"228",8.69,113,64,10,68,101,"Medium",57,16,"Yes","Yes" -"229",5.4,149,73,13,381,163,"Bad",26,11,"No","Yes" -"230",11.19,98,104,0,404,72,"Medium",27,18,"No","No" -"231",5.16,115,60,0,119,114,"Bad",38,14,"No","No" -"232",8.09,132,69,0,123,122,"Medium",27,11,"No","No" -"233",13.14,137,80,10,24,105,"Good",61,15,"Yes","Yes" -"234",8.65,123,76,18,218,120,"Medium",29,14,"No","Yes" -"235",9.43,115,62,11,289,129,"Good",56,16,"No","Yes" -"236",5.53,126,32,8,95,132,"Medium",50,17,"Yes","Yes" -"237",9.32,141,34,16,361,108,"Medium",69,10,"Yes","Yes" -"238",9.62,151,28,8,499,135,"Medium",48,10,"Yes","Yes" -"239",7.36,121,24,0,200,133,"Good",73,13,"Yes","No" -"240",3.89,123,105,0,149,118,"Bad",62,16,"Yes","Yes" -"241",10.31,159,80,0,362,121,"Medium",26,18,"Yes","No" -"242",12.01,136,63,0,160,94,"Medium",38,12,"Yes","No" -"243",4.68,124,46,0,199,135,"Medium",52,14,"No","No" -"244",7.82,124,25,13,87,110,"Medium",57,10,"Yes","Yes" -"245",8.78,130,30,0,391,100,"Medium",26,18,"Yes","No" -"246",10,114,43,0,199,88,"Good",57,10,"No","Yes" -"247",6.9,120,56,20,266,90,"Bad",78,18,"Yes","Yes" -"248",5.04,123,114,0,298,151,"Bad",34,16,"Yes","No" -"249",5.36,111,52,0,12,101,"Medium",61,11,"Yes","Yes" -"250",5.05,125,67,0,86,117,"Bad",65,11,"Yes","No" -"251",9.16,137,105,10,435,156,"Good",72,14,"Yes","Yes" -"252",3.72,139,111,5,310,132,"Bad",62,13,"Yes","Yes" -"253",8.31,133,97,0,70,117,"Medium",32,16,"Yes","No" -"254",5.64,124,24,5,288,122,"Medium",57,12,"No","Yes" -"255",9.58,108,104,23,353,129,"Good",37,17,"Yes","Yes" -"256",7.71,123,81,8,198,81,"Bad",80,15,"Yes","Yes" -"257",4.2,147,40,0,277,144,"Medium",73,10,"Yes","No" -"258",8.67,125,62,14,477,112,"Medium",80,13,"Yes","Yes" -"259",3.47,108,38,0,251,81,"Bad",72,14,"No","No" -"260",5.12,123,36,10,467,100,"Bad",74,11,"No","Yes" -"261",7.67,129,117,8,400,101,"Bad",36,10,"Yes","Yes" -"262",5.71,121,42,4,188,118,"Medium",54,15,"Yes","Yes" -"263",6.37,120,77,15,86,132,"Medium",48,18,"Yes","Yes" -"264",7.77,116,26,6,434,115,"Medium",25,17,"Yes","Yes" -"265",6.95,128,29,5,324,159,"Good",31,15,"Yes","Yes" -"266",5.31,130,35,10,402,129,"Bad",39,17,"Yes","Yes" -"267",9.1,128,93,12,343,112,"Good",73,17,"No","Yes" -"268",5.83,134,82,7,473,112,"Bad",51,12,"No","Yes" -"269",6.53,123,57,0,66,105,"Medium",39,11,"Yes","No" -"270",5.01,159,69,0,438,166,"Medium",46,17,"Yes","No" -"271",11.99,119,26,0,284,89,"Good",26,10,"Yes","No" -"272",4.55,111,56,0,504,110,"Medium",62,16,"Yes","No" -"273",12.98,113,33,0,14,63,"Good",38,12,"Yes","No" -"274",10.04,116,106,8,244,86,"Medium",58,12,"Yes","Yes" -"275",7.22,135,93,2,67,119,"Medium",34,11,"Yes","Yes" -"276",6.67,107,119,11,210,132,"Medium",53,11,"Yes","Yes" -"277",6.93,135,69,14,296,130,"Medium",73,15,"Yes","Yes" -"278",7.8,136,48,12,326,125,"Medium",36,16,"Yes","Yes" -"279",7.22,114,113,2,129,151,"Good",40,15,"No","Yes" -"280",3.42,141,57,13,376,158,"Medium",64,18,"Yes","Yes" -"281",2.86,121,86,10,496,145,"Bad",51,10,"Yes","Yes" -"282",11.19,122,69,7,303,105,"Good",45,16,"No","Yes" -"283",7.74,150,96,0,80,154,"Good",61,11,"Yes","No" -"284",5.36,135,110,0,112,117,"Medium",80,16,"No","No" -"285",6.97,106,46,11,414,96,"Bad",79,17,"No","No" -"286",7.6,146,26,11,261,131,"Medium",39,10,"Yes","Yes" -"287",7.53,117,118,11,429,113,"Medium",67,18,"No","Yes" -"288",6.88,95,44,4,208,72,"Bad",44,17,"Yes","Yes" -"289",6.98,116,40,0,74,97,"Medium",76,15,"No","No" -"290",8.75,143,77,25,448,156,"Medium",43,17,"Yes","Yes" -"291",9.49,107,111,14,400,103,"Medium",41,11,"No","Yes" -"292",6.64,118,70,0,106,89,"Bad",39,17,"Yes","No" -"293",11.82,113,66,16,322,74,"Good",76,15,"Yes","Yes" -"294",11.28,123,84,0,74,89,"Good",59,10,"Yes","No" -"295",12.66,148,76,3,126,99,"Good",60,11,"Yes","Yes" -"296",4.21,118,35,14,502,137,"Medium",79,10,"No","Yes" -"297",8.21,127,44,13,160,123,"Good",63,18,"Yes","Yes" -"298",3.07,118,83,13,276,104,"Bad",75,10,"Yes","Yes" -"299",10.98,148,63,0,312,130,"Good",63,15,"Yes","No" -"300",9.4,135,40,17,497,96,"Medium",54,17,"No","Yes" -"301",8.57,116,78,1,158,99,"Medium",45,11,"Yes","Yes" -"302",7.41,99,93,0,198,87,"Medium",57,16,"Yes","Yes" -"303",5.28,108,77,13,388,110,"Bad",74,14,"Yes","Yes" -"304",10.01,133,52,16,290,99,"Medium",43,11,"Yes","Yes" -"305",11.93,123,98,12,408,134,"Good",29,10,"Yes","Yes" -"306",8.03,115,29,26,394,132,"Medium",33,13,"Yes","Yes" -"307",4.78,131,32,1,85,133,"Medium",48,12,"Yes","Yes" -"308",5.9,138,92,0,13,120,"Bad",61,12,"Yes","No" -"309",9.24,126,80,19,436,126,"Medium",52,10,"Yes","Yes" -"310",11.18,131,111,13,33,80,"Bad",68,18,"Yes","Yes" -"311",9.53,175,65,29,419,166,"Medium",53,12,"Yes","Yes" -"312",6.15,146,68,12,328,132,"Bad",51,14,"Yes","Yes" -"313",6.8,137,117,5,337,135,"Bad",38,10,"Yes","Yes" -"314",9.33,103,81,3,491,54,"Medium",66,13,"Yes","No" -"315",7.72,133,33,10,333,129,"Good",71,14,"Yes","Yes" -"316",6.39,131,21,8,220,171,"Good",29,14,"Yes","Yes" -"317",15.63,122,36,5,369,72,"Good",35,10,"Yes","Yes" -"318",6.41,142,30,0,472,136,"Good",80,15,"No","No" -"319",10.08,116,72,10,456,130,"Good",41,14,"No","Yes" -"320",6.97,127,45,19,459,129,"Medium",57,11,"No","Yes" -"321",5.86,136,70,12,171,152,"Medium",44,18,"Yes","Yes" -"322",7.52,123,39,5,499,98,"Medium",34,15,"Yes","No" -"323",9.16,140,50,10,300,139,"Good",60,15,"Yes","Yes" -"324",10.36,107,105,18,428,103,"Medium",34,12,"Yes","Yes" -"325",2.66,136,65,4,133,150,"Bad",53,13,"Yes","Yes" -"326",11.7,144,69,11,131,104,"Medium",47,11,"Yes","Yes" -"327",4.69,133,30,0,152,122,"Medium",53,17,"Yes","No" -"328",6.23,112,38,17,316,104,"Medium",80,16,"Yes","Yes" -"329",3.15,117,66,1,65,111,"Bad",55,11,"Yes","Yes" -"330",11.27,100,54,9,433,89,"Good",45,12,"Yes","Yes" -"331",4.99,122,59,0,501,112,"Bad",32,14,"No","No" -"332",10.1,135,63,15,213,134,"Medium",32,10,"Yes","Yes" -"333",5.74,106,33,20,354,104,"Medium",61,12,"Yes","Yes" -"334",5.87,136,60,7,303,147,"Medium",41,10,"Yes","Yes" -"335",7.63,93,117,9,489,83,"Bad",42,13,"Yes","Yes" -"336",6.18,120,70,15,464,110,"Medium",72,15,"Yes","Yes" -"337",5.17,138,35,6,60,143,"Bad",28,18,"Yes","No" -"338",8.61,130,38,0,283,102,"Medium",80,15,"Yes","No" -"339",5.97,112,24,0,164,101,"Medium",45,11,"Yes","No" -"340",11.54,134,44,4,219,126,"Good",44,15,"Yes","Yes" -"341",7.5,140,29,0,105,91,"Bad",43,16,"Yes","No" -"342",7.38,98,120,0,268,93,"Medium",72,10,"No","No" -"343",7.81,137,102,13,422,118,"Medium",71,10,"No","Yes" -"344",5.99,117,42,10,371,121,"Bad",26,14,"Yes","Yes" -"345",8.43,138,80,0,108,126,"Good",70,13,"No","Yes" -"346",4.81,121,68,0,279,149,"Good",79,12,"Yes","No" -"347",8.97,132,107,0,144,125,"Medium",33,13,"No","No" -"348",6.88,96,39,0,161,112,"Good",27,14,"No","No" -"349",12.57,132,102,20,459,107,"Good",49,11,"Yes","Yes" -"350",9.32,134,27,18,467,96,"Medium",49,14,"No","Yes" -"351",8.64,111,101,17,266,91,"Medium",63,17,"No","Yes" -"352",10.44,124,115,16,458,105,"Medium",62,16,"No","Yes" -"353",13.44,133,103,14,288,122,"Good",61,17,"Yes","Yes" -"354",9.45,107,67,12,430,92,"Medium",35,12,"No","Yes" -"355",5.3,133,31,1,80,145,"Medium",42,18,"Yes","Yes" -"356",7.02,130,100,0,306,146,"Good",42,11,"Yes","No" -"357",3.58,142,109,0,111,164,"Good",72,12,"Yes","No" -"358",13.36,103,73,3,276,72,"Medium",34,15,"Yes","Yes" -"359",4.17,123,96,10,71,118,"Bad",69,11,"Yes","Yes" -"360",3.13,130,62,11,396,130,"Bad",66,14,"Yes","Yes" -"361",8.77,118,86,7,265,114,"Good",52,15,"No","Yes" -"362",8.68,131,25,10,183,104,"Medium",56,15,"No","Yes" -"363",5.25,131,55,0,26,110,"Bad",79,12,"Yes","Yes" -"364",10.26,111,75,1,377,108,"Good",25,12,"Yes","No" -"365",10.5,122,21,16,488,131,"Good",30,14,"Yes","Yes" -"366",6.53,154,30,0,122,162,"Medium",57,17,"No","No" -"367",5.98,124,56,11,447,134,"Medium",53,12,"No","Yes" -"368",14.37,95,106,0,256,53,"Good",52,17,"Yes","No" -"369",10.71,109,22,10,348,79,"Good",74,14,"No","Yes" -"370",10.26,135,100,22,463,122,"Medium",36,14,"Yes","Yes" -"371",7.68,126,41,22,403,119,"Bad",42,12,"Yes","Yes" -"372",9.08,152,81,0,191,126,"Medium",54,16,"Yes","No" -"373",7.8,121,50,0,508,98,"Medium",65,11,"No","No" -"374",5.58,137,71,0,402,116,"Medium",78,17,"Yes","No" -"375",9.44,131,47,7,90,118,"Medium",47,12,"Yes","Yes" -"376",7.9,132,46,4,206,124,"Medium",73,11,"Yes","No" -"377",16.27,141,60,19,319,92,"Good",44,11,"Yes","Yes" -"378",6.81,132,61,0,263,125,"Medium",41,12,"No","No" -"379",6.11,133,88,3,105,119,"Medium",79,12,"Yes","Yes" -"380",5.81,125,111,0,404,107,"Bad",54,15,"Yes","No" -"381",9.64,106,64,10,17,89,"Medium",68,17,"Yes","Yes" -"382",3.9,124,65,21,496,151,"Bad",77,13,"Yes","Yes" -"383",4.95,121,28,19,315,121,"Medium",66,14,"Yes","Yes" -"384",9.35,98,117,0,76,68,"Medium",63,10,"Yes","No" -"385",12.85,123,37,15,348,112,"Good",28,12,"Yes","Yes" -"386",5.87,131,73,13,455,132,"Medium",62,17,"Yes","Yes" -"387",5.32,152,116,0,170,160,"Medium",39,16,"Yes","No" -"388",8.67,142,73,14,238,115,"Medium",73,14,"No","Yes" -"389",8.14,135,89,11,245,78,"Bad",79,16,"Yes","Yes" -"390",8.44,128,42,8,328,107,"Medium",35,12,"Yes","Yes" -"391",5.47,108,75,9,61,111,"Medium",67,12,"Yes","Yes" -"392",6.1,153,63,0,49,124,"Bad",56,16,"Yes","No" -"393",4.53,129,42,13,315,130,"Bad",34,13,"Yes","Yes" -"394",5.57,109,51,10,26,120,"Medium",30,17,"No","Yes" -"395",5.35,130,58,19,366,139,"Bad",33,16,"Yes","Yes" -"396",12.57,138,108,17,203,128,"Good",33,14,"Yes","Yes" -"397",6.14,139,23,3,37,120,"Medium",55,11,"No","Yes" -"398",7.41,162,26,12,368,159,"Medium",40,18,"Yes","Yes" -"399",5.94,100,79,7,284,95,"Bad",50,12,"Yes","Yes" -"400",9.71,134,37,0,27,120,"Good",49,16,"Yes","Yes" +"Sales","CompPrice","Income","Advertising","Population","Price","ShelveLoc","Age","Education","Urban","US" +9.5,138,73,11,276,120,"Bad",42,17,"Yes","Yes" +11.22,111,48,16,260,83,"Good",65,10,"Yes","Yes" +10.06,113,35,10,269,80,"Medium",59,12,"Yes","Yes" +7.4,117,100,4,466,97,"Medium",55,14,"Yes","Yes" +4.15,141,64,3,340,128,"Bad",38,13,"Yes","No" +10.81,124,113,13,501,72,"Bad",78,16,"No","Yes" +6.63,115,105,0,45,108,"Medium",71,15,"Yes","No" +11.85,136,81,15,425,120,"Good",67,10,"Yes","Yes" +6.54,132,110,0,108,124,"Medium",76,10,"No","No" +4.69,132,113,0,131,124,"Medium",76,17,"No","Yes" +9.01,121,78,9,150,100,"Bad",26,10,"No","Yes" +11.96,117,94,4,503,94,"Good",50,13,"Yes","Yes" +3.98,122,35,2,393,136,"Medium",62,18,"Yes","No" +10.96,115,28,11,29,86,"Good",53,18,"Yes","Yes" +11.17,107,117,11,148,118,"Good",52,18,"Yes","Yes" +8.71,149,95,5,400,144,"Medium",76,18,"No","No" +7.58,118,32,0,284,110,"Good",63,13,"Yes","No" +12.29,147,74,13,251,131,"Good",52,10,"Yes","Yes" +13.91,110,110,0,408,68,"Good",46,17,"No","Yes" +8.73,129,76,16,58,121,"Medium",69,12,"Yes","Yes" +6.41,125,90,2,367,131,"Medium",35,18,"Yes","Yes" +12.13,134,29,12,239,109,"Good",62,18,"No","Yes" +5.08,128,46,6,497,138,"Medium",42,13,"Yes","No" +5.87,121,31,0,292,109,"Medium",79,10,"Yes","No" +10.14,145,119,16,294,113,"Bad",42,12,"Yes","Yes" +14.9,139,32,0,176,82,"Good",54,11,"No","No" +8.33,107,115,11,496,131,"Good",50,11,"No","Yes" +5.27,98,118,0,19,107,"Medium",64,17,"Yes","No" +2.99,103,74,0,359,97,"Bad",55,11,"Yes","Yes" +7.81,104,99,15,226,102,"Bad",58,17,"Yes","Yes" +13.55,125,94,0,447,89,"Good",30,12,"Yes","No" +8.25,136,58,16,241,131,"Medium",44,18,"Yes","Yes" +6.2,107,32,12,236,137,"Good",64,10,"No","Yes" +8.77,114,38,13,317,128,"Good",50,16,"Yes","Yes" +2.67,115,54,0,406,128,"Medium",42,17,"Yes","Yes" +11.07,131,84,11,29,96,"Medium",44,17,"No","Yes" +8.89,122,76,0,270,100,"Good",60,18,"No","No" +4.95,121,41,5,412,110,"Medium",54,10,"Yes","Yes" +6.59,109,73,0,454,102,"Medium",65,15,"Yes","No" +3.24,130,60,0,144,138,"Bad",38,10,"No","No" +2.07,119,98,0,18,126,"Bad",73,17,"No","No" +7.96,157,53,0,403,124,"Bad",58,16,"Yes","No" +10.43,77,69,0,25,24,"Medium",50,18,"Yes","No" +4.12,123,42,11,16,134,"Medium",59,13,"Yes","Yes" +4.16,85,79,6,325,95,"Medium",69,13,"Yes","Yes" +4.56,141,63,0,168,135,"Bad",44,12,"Yes","Yes" +12.44,127,90,14,16,70,"Medium",48,15,"No","Yes" +4.38,126,98,0,173,108,"Bad",55,16,"Yes","No" +3.91,116,52,0,349,98,"Bad",69,18,"Yes","No" +10.61,157,93,0,51,149,"Good",32,17,"Yes","No" +1.42,99,32,18,341,108,"Bad",80,16,"Yes","Yes" +4.42,121,90,0,150,108,"Bad",75,16,"Yes","No" +7.91,153,40,3,112,129,"Bad",39,18,"Yes","Yes" +6.92,109,64,13,39,119,"Medium",61,17,"Yes","Yes" +4.9,134,103,13,25,144,"Medium",76,17,"No","Yes" +6.85,143,81,5,60,154,"Medium",61,18,"Yes","Yes" +11.91,133,82,0,54,84,"Medium",50,17,"Yes","No" +0.91,93,91,0,22,117,"Bad",75,11,"Yes","No" +5.42,103,93,15,188,103,"Bad",74,16,"Yes","Yes" +5.21,118,71,4,148,114,"Medium",80,13,"Yes","No" +8.32,122,102,19,469,123,"Bad",29,13,"Yes","Yes" +7.32,105,32,0,358,107,"Medium",26,13,"No","No" +1.82,139,45,0,146,133,"Bad",77,17,"Yes","Yes" +8.47,119,88,10,170,101,"Medium",61,13,"Yes","Yes" +7.8,100,67,12,184,104,"Medium",32,16,"No","Yes" +4.9,122,26,0,197,128,"Medium",55,13,"No","No" +8.85,127,92,0,508,91,"Medium",56,18,"Yes","No" +9.01,126,61,14,152,115,"Medium",47,16,"Yes","Yes" +13.39,149,69,20,366,134,"Good",60,13,"Yes","Yes" +7.99,127,59,0,339,99,"Medium",65,12,"Yes","No" +9.46,89,81,15,237,99,"Good",74,12,"Yes","Yes" +6.5,148,51,16,148,150,"Medium",58,17,"No","Yes" +5.52,115,45,0,432,116,"Medium",25,15,"Yes","No" +12.61,118,90,10,54,104,"Good",31,11,"No","Yes" +6.2,150,68,5,125,136,"Medium",64,13,"No","Yes" +8.55,88,111,23,480,92,"Bad",36,16,"No","Yes" +10.64,102,87,10,346,70,"Medium",64,15,"Yes","Yes" +7.7,118,71,12,44,89,"Medium",67,18,"No","Yes" +4.43,134,48,1,139,145,"Medium",65,12,"Yes","Yes" +9.14,134,67,0,286,90,"Bad",41,13,"Yes","No" +8.01,113,100,16,353,79,"Bad",68,11,"Yes","Yes" +7.52,116,72,0,237,128,"Good",70,13,"Yes","No" +11.62,151,83,4,325,139,"Good",28,17,"Yes","Yes" +4.42,109,36,7,468,94,"Bad",56,11,"Yes","Yes" +2.23,111,25,0,52,121,"Bad",43,18,"No","No" +8.47,125,103,0,304,112,"Medium",49,13,"No","No" +8.7,150,84,9,432,134,"Medium",64,15,"Yes","No" +11.7,131,67,7,272,126,"Good",54,16,"No","Yes" +6.56,117,42,7,144,111,"Medium",62,10,"Yes","Yes" +7.95,128,66,3,493,119,"Medium",45,16,"No","No" +5.33,115,22,0,491,103,"Medium",64,11,"No","No" +4.81,97,46,11,267,107,"Medium",80,15,"Yes","Yes" +4.53,114,113,0,97,125,"Medium",29,12,"Yes","No" +8.86,145,30,0,67,104,"Medium",55,17,"Yes","No" +8.39,115,97,5,134,84,"Bad",55,11,"Yes","Yes" +5.58,134,25,10,237,148,"Medium",59,13,"Yes","Yes" +9.48,147,42,10,407,132,"Good",73,16,"No","Yes" +7.45,161,82,5,287,129,"Bad",33,16,"Yes","Yes" +12.49,122,77,24,382,127,"Good",36,16,"No","Yes" +4.88,121,47,3,220,107,"Bad",56,16,"No","Yes" +4.11,113,69,11,94,106,"Medium",76,12,"No","Yes" +6.2,128,93,0,89,118,"Medium",34,18,"Yes","No" +5.3,113,22,0,57,97,"Medium",65,16,"No","No" +5.07,123,91,0,334,96,"Bad",78,17,"Yes","Yes" +4.62,121,96,0,472,138,"Medium",51,12,"Yes","No" +5.55,104,100,8,398,97,"Medium",61,11,"Yes","Yes" +0.16,102,33,0,217,139,"Medium",70,18,"No","No" +8.55,134,107,0,104,108,"Medium",60,12,"Yes","No" +3.47,107,79,2,488,103,"Bad",65,16,"Yes","No" +8.98,115,65,0,217,90,"Medium",60,17,"No","No" +9,128,62,7,125,116,"Medium",43,14,"Yes","Yes" +6.62,132,118,12,272,151,"Medium",43,14,"Yes","Yes" +6.67,116,99,5,298,125,"Good",62,12,"Yes","Yes" +6.01,131,29,11,335,127,"Bad",33,12,"Yes","Yes" +9.31,122,87,9,17,106,"Medium",65,13,"Yes","Yes" +8.54,139,35,0,95,129,"Medium",42,13,"Yes","No" +5.08,135,75,0,202,128,"Medium",80,10,"No","No" +8.8,145,53,0,507,119,"Medium",41,12,"Yes","No" +7.57,112,88,2,243,99,"Medium",62,11,"Yes","Yes" +7.37,130,94,8,137,128,"Medium",64,12,"Yes","Yes" +6.87,128,105,11,249,131,"Medium",63,13,"Yes","Yes" +11.67,125,89,10,380,87,"Bad",28,10,"Yes","Yes" +6.88,119,100,5,45,108,"Medium",75,10,"Yes","Yes" +8.19,127,103,0,125,155,"Good",29,15,"No","Yes" +8.87,131,113,0,181,120,"Good",63,14,"Yes","No" +9.34,89,78,0,181,49,"Medium",43,15,"No","No" +11.27,153,68,2,60,133,"Good",59,16,"Yes","Yes" +6.52,125,48,3,192,116,"Medium",51,14,"Yes","Yes" +4.96,133,100,3,350,126,"Bad",55,13,"Yes","Yes" +4.47,143,120,7,279,147,"Bad",40,10,"No","Yes" +8.41,94,84,13,497,77,"Medium",51,12,"Yes","Yes" +6.5,108,69,3,208,94,"Medium",77,16,"Yes","No" +9.54,125,87,9,232,136,"Good",72,10,"Yes","Yes" +7.62,132,98,2,265,97,"Bad",62,12,"Yes","Yes" +3.67,132,31,0,327,131,"Medium",76,16,"Yes","No" +6.44,96,94,14,384,120,"Medium",36,18,"No","Yes" +5.17,131,75,0,10,120,"Bad",31,18,"No","No" +6.52,128,42,0,436,118,"Medium",80,11,"Yes","No" +10.27,125,103,12,371,109,"Medium",44,10,"Yes","Yes" +12.3,146,62,10,310,94,"Medium",30,13,"No","Yes" +6.03,133,60,10,277,129,"Medium",45,18,"Yes","Yes" +6.53,140,42,0,331,131,"Bad",28,15,"Yes","No" +7.44,124,84,0,300,104,"Medium",77,15,"Yes","No" +0.53,122,88,7,36,159,"Bad",28,17,"Yes","Yes" +9.09,132,68,0,264,123,"Good",34,11,"No","No" +8.77,144,63,11,27,117,"Medium",47,17,"Yes","Yes" +3.9,114,83,0,412,131,"Bad",39,14,"Yes","No" +10.51,140,54,9,402,119,"Good",41,16,"No","Yes" +7.56,110,119,0,384,97,"Medium",72,14,"No","Yes" +11.48,121,120,13,140,87,"Medium",56,11,"Yes","Yes" +10.49,122,84,8,176,114,"Good",57,10,"No","Yes" +10.77,111,58,17,407,103,"Good",75,17,"No","Yes" +7.64,128,78,0,341,128,"Good",45,13,"No","No" +5.93,150,36,7,488,150,"Medium",25,17,"No","Yes" +6.89,129,69,10,289,110,"Medium",50,16,"No","Yes" +7.71,98,72,0,59,69,"Medium",65,16,"Yes","No" +7.49,146,34,0,220,157,"Good",51,16,"Yes","No" +10.21,121,58,8,249,90,"Medium",48,13,"No","Yes" +12.53,142,90,1,189,112,"Good",39,10,"No","Yes" +9.32,119,60,0,372,70,"Bad",30,18,"No","No" +4.67,111,28,0,486,111,"Medium",29,12,"No","No" +2.93,143,21,5,81,160,"Medium",67,12,"No","Yes" +3.63,122,74,0,424,149,"Medium",51,13,"Yes","No" +5.68,130,64,0,40,106,"Bad",39,17,"No","No" +8.22,148,64,0,58,141,"Medium",27,13,"No","Yes" +0.37,147,58,7,100,191,"Bad",27,15,"Yes","Yes" +6.71,119,67,17,151,137,"Medium",55,11,"Yes","Yes" +6.71,106,73,0,216,93,"Medium",60,13,"Yes","No" +7.3,129,89,0,425,117,"Medium",45,10,"Yes","No" +11.48,104,41,15,492,77,"Good",73,18,"Yes","Yes" +8.01,128,39,12,356,118,"Medium",71,10,"Yes","Yes" +12.49,93,106,12,416,55,"Medium",75,15,"Yes","Yes" +9.03,104,102,13,123,110,"Good",35,16,"Yes","Yes" +6.38,135,91,5,207,128,"Medium",66,18,"Yes","Yes" +0,139,24,0,358,185,"Medium",79,15,"No","No" +7.54,115,89,0,38,122,"Medium",25,12,"Yes","No" +5.61,138,107,9,480,154,"Medium",47,11,"No","Yes" +10.48,138,72,0,148,94,"Medium",27,17,"Yes","Yes" +10.66,104,71,14,89,81,"Medium",25,14,"No","Yes" +7.78,144,25,3,70,116,"Medium",77,18,"Yes","Yes" +4.94,137,112,15,434,149,"Bad",66,13,"Yes","Yes" +7.43,121,83,0,79,91,"Medium",68,11,"Yes","No" +4.74,137,60,4,230,140,"Bad",25,13,"Yes","No" +5.32,118,74,6,426,102,"Medium",80,18,"Yes","Yes" +9.95,132,33,7,35,97,"Medium",60,11,"No","Yes" +10.07,130,100,11,449,107,"Medium",64,10,"Yes","Yes" +8.68,120,51,0,93,86,"Medium",46,17,"No","No" +6.03,117,32,0,142,96,"Bad",62,17,"Yes","No" +8.07,116,37,0,426,90,"Medium",76,15,"Yes","No" +12.11,118,117,18,509,104,"Medium",26,15,"No","Yes" +8.79,130,37,13,297,101,"Medium",37,13,"No","Yes" +6.67,156,42,13,170,173,"Good",74,14,"Yes","Yes" +7.56,108,26,0,408,93,"Medium",56,14,"No","No" +13.28,139,70,7,71,96,"Good",61,10,"Yes","Yes" +7.23,112,98,18,481,128,"Medium",45,11,"Yes","Yes" +4.19,117,93,4,420,112,"Bad",66,11,"Yes","Yes" +4.1,130,28,6,410,133,"Bad",72,16,"Yes","Yes" +2.52,124,61,0,333,138,"Medium",76,16,"Yes","No" +3.62,112,80,5,500,128,"Medium",69,10,"Yes","Yes" +6.42,122,88,5,335,126,"Medium",64,14,"Yes","Yes" +5.56,144,92,0,349,146,"Medium",62,12,"No","No" +5.94,138,83,0,139,134,"Medium",54,18,"Yes","No" +4.1,121,78,4,413,130,"Bad",46,10,"No","Yes" +2.05,131,82,0,132,157,"Bad",25,14,"Yes","No" +8.74,155,80,0,237,124,"Medium",37,14,"Yes","No" +5.68,113,22,1,317,132,"Medium",28,12,"Yes","No" +4.97,162,67,0,27,160,"Medium",77,17,"Yes","Yes" +8.19,111,105,0,466,97,"Bad",61,10,"No","No" +7.78,86,54,0,497,64,"Bad",33,12,"Yes","No" +3.02,98,21,11,326,90,"Bad",76,11,"No","Yes" +4.36,125,41,2,357,123,"Bad",47,14,"No","Yes" +9.39,117,118,14,445,120,"Medium",32,15,"Yes","Yes" +12.04,145,69,19,501,105,"Medium",45,11,"Yes","Yes" +8.23,149,84,5,220,139,"Medium",33,10,"Yes","Yes" +4.83,115,115,3,48,107,"Medium",73,18,"Yes","Yes" +2.34,116,83,15,170,144,"Bad",71,11,"Yes","Yes" +5.73,141,33,0,243,144,"Medium",34,17,"Yes","No" +4.34,106,44,0,481,111,"Medium",70,14,"No","No" +9.7,138,61,12,156,120,"Medium",25,14,"Yes","Yes" +10.62,116,79,19,359,116,"Good",58,17,"Yes","Yes" +10.59,131,120,15,262,124,"Medium",30,10,"Yes","Yes" +6.43,124,44,0,125,107,"Medium",80,11,"Yes","No" +7.49,136,119,6,178,145,"Medium",35,13,"Yes","Yes" +3.45,110,45,9,276,125,"Medium",62,14,"Yes","Yes" +4.1,134,82,0,464,141,"Medium",48,13,"No","No" +6.68,107,25,0,412,82,"Bad",36,14,"Yes","No" +7.8,119,33,0,245,122,"Good",56,14,"Yes","No" +8.69,113,64,10,68,101,"Medium",57,16,"Yes","Yes" +5.4,149,73,13,381,163,"Bad",26,11,"No","Yes" +11.19,98,104,0,404,72,"Medium",27,18,"No","No" +5.16,115,60,0,119,114,"Bad",38,14,"No","No" +8.09,132,69,0,123,122,"Medium",27,11,"No","No" +13.14,137,80,10,24,105,"Good",61,15,"Yes","Yes" +8.65,123,76,18,218,120,"Medium",29,14,"No","Yes" +9.43,115,62,11,289,129,"Good",56,16,"No","Yes" +5.53,126,32,8,95,132,"Medium",50,17,"Yes","Yes" +9.32,141,34,16,361,108,"Medium",69,10,"Yes","Yes" +9.62,151,28,8,499,135,"Medium",48,10,"Yes","Yes" +7.36,121,24,0,200,133,"Good",73,13,"Yes","No" +3.89,123,105,0,149,118,"Bad",62,16,"Yes","Yes" +10.31,159,80,0,362,121,"Medium",26,18,"Yes","No" +12.01,136,63,0,160,94,"Medium",38,12,"Yes","No" +4.68,124,46,0,199,135,"Medium",52,14,"No","No" +7.82,124,25,13,87,110,"Medium",57,10,"Yes","Yes" +8.78,130,30,0,391,100,"Medium",26,18,"Yes","No" +10,114,43,0,199,88,"Good",57,10,"No","Yes" +6.9,120,56,20,266,90,"Bad",78,18,"Yes","Yes" +5.04,123,114,0,298,151,"Bad",34,16,"Yes","No" +5.36,111,52,0,12,101,"Medium",61,11,"Yes","Yes" +5.05,125,67,0,86,117,"Bad",65,11,"Yes","No" +9.16,137,105,10,435,156,"Good",72,14,"Yes","Yes" +3.72,139,111,5,310,132,"Bad",62,13,"Yes","Yes" +8.31,133,97,0,70,117,"Medium",32,16,"Yes","No" +5.64,124,24,5,288,122,"Medium",57,12,"No","Yes" +9.58,108,104,23,353,129,"Good",37,17,"Yes","Yes" +7.71,123,81,8,198,81,"Bad",80,15,"Yes","Yes" +4.2,147,40,0,277,144,"Medium",73,10,"Yes","No" +8.67,125,62,14,477,112,"Medium",80,13,"Yes","Yes" +3.47,108,38,0,251,81,"Bad",72,14,"No","No" +5.12,123,36,10,467,100,"Bad",74,11,"No","Yes" +7.67,129,117,8,400,101,"Bad",36,10,"Yes","Yes" +5.71,121,42,4,188,118,"Medium",54,15,"Yes","Yes" +6.37,120,77,15,86,132,"Medium",48,18,"Yes","Yes" +7.77,116,26,6,434,115,"Medium",25,17,"Yes","Yes" +6.95,128,29,5,324,159,"Good",31,15,"Yes","Yes" +5.31,130,35,10,402,129,"Bad",39,17,"Yes","Yes" +9.1,128,93,12,343,112,"Good",73,17,"No","Yes" +5.83,134,82,7,473,112,"Bad",51,12,"No","Yes" +6.53,123,57,0,66,105,"Medium",39,11,"Yes","No" +5.01,159,69,0,438,166,"Medium",46,17,"Yes","No" +11.99,119,26,0,284,89,"Good",26,10,"Yes","No" +4.55,111,56,0,504,110,"Medium",62,16,"Yes","No" +12.98,113,33,0,14,63,"Good",38,12,"Yes","No" +10.04,116,106,8,244,86,"Medium",58,12,"Yes","Yes" +7.22,135,93,2,67,119,"Medium",34,11,"Yes","Yes" +6.67,107,119,11,210,132,"Medium",53,11,"Yes","Yes" +6.93,135,69,14,296,130,"Medium",73,15,"Yes","Yes" +7.8,136,48,12,326,125,"Medium",36,16,"Yes","Yes" +7.22,114,113,2,129,151,"Good",40,15,"No","Yes" +3.42,141,57,13,376,158,"Medium",64,18,"Yes","Yes" +2.86,121,86,10,496,145,"Bad",51,10,"Yes","Yes" +11.19,122,69,7,303,105,"Good",45,16,"No","Yes" +7.74,150,96,0,80,154,"Good",61,11,"Yes","No" +5.36,135,110,0,112,117,"Medium",80,16,"No","No" +6.97,106,46,11,414,96,"Bad",79,17,"No","No" +7.6,146,26,11,261,131,"Medium",39,10,"Yes","Yes" +7.53,117,118,11,429,113,"Medium",67,18,"No","Yes" +6.88,95,44,4,208,72,"Bad",44,17,"Yes","Yes" +6.98,116,40,0,74,97,"Medium",76,15,"No","No" +8.75,143,77,25,448,156,"Medium",43,17,"Yes","Yes" +9.49,107,111,14,400,103,"Medium",41,11,"No","Yes" +6.64,118,70,0,106,89,"Bad",39,17,"Yes","No" +11.82,113,66,16,322,74,"Good",76,15,"Yes","Yes" +11.28,123,84,0,74,89,"Good",59,10,"Yes","No" +12.66,148,76,3,126,99,"Good",60,11,"Yes","Yes" +4.21,118,35,14,502,137,"Medium",79,10,"No","Yes" +8.21,127,44,13,160,123,"Good",63,18,"Yes","Yes" +3.07,118,83,13,276,104,"Bad",75,10,"Yes","Yes" +10.98,148,63,0,312,130,"Good",63,15,"Yes","No" +9.4,135,40,17,497,96,"Medium",54,17,"No","Yes" +8.57,116,78,1,158,99,"Medium",45,11,"Yes","Yes" +7.41,99,93,0,198,87,"Medium",57,16,"Yes","Yes" +5.28,108,77,13,388,110,"Bad",74,14,"Yes","Yes" +10.01,133,52,16,290,99,"Medium",43,11,"Yes","Yes" +11.93,123,98,12,408,134,"Good",29,10,"Yes","Yes" +8.03,115,29,26,394,132,"Medium",33,13,"Yes","Yes" +4.78,131,32,1,85,133,"Medium",48,12,"Yes","Yes" +5.9,138,92,0,13,120,"Bad",61,12,"Yes","No" +9.24,126,80,19,436,126,"Medium",52,10,"Yes","Yes" +11.18,131,111,13,33,80,"Bad",68,18,"Yes","Yes" +9.53,175,65,29,419,166,"Medium",53,12,"Yes","Yes" +6.15,146,68,12,328,132,"Bad",51,14,"Yes","Yes" +6.8,137,117,5,337,135,"Bad",38,10,"Yes","Yes" +9.33,103,81,3,491,54,"Medium",66,13,"Yes","No" +7.72,133,33,10,333,129,"Good",71,14,"Yes","Yes" +6.39,131,21,8,220,171,"Good",29,14,"Yes","Yes" +15.63,122,36,5,369,72,"Good",35,10,"Yes","Yes" +6.41,142,30,0,472,136,"Good",80,15,"No","No" +10.08,116,72,10,456,130,"Good",41,14,"No","Yes" +6.97,127,45,19,459,129,"Medium",57,11,"No","Yes" +5.86,136,70,12,171,152,"Medium",44,18,"Yes","Yes" +7.52,123,39,5,499,98,"Medium",34,15,"Yes","No" +9.16,140,50,10,300,139,"Good",60,15,"Yes","Yes" +10.36,107,105,18,428,103,"Medium",34,12,"Yes","Yes" +2.66,136,65,4,133,150,"Bad",53,13,"Yes","Yes" +11.7,144,69,11,131,104,"Medium",47,11,"Yes","Yes" +4.69,133,30,0,152,122,"Medium",53,17,"Yes","No" +6.23,112,38,17,316,104,"Medium",80,16,"Yes","Yes" +3.15,117,66,1,65,111,"Bad",55,11,"Yes","Yes" +11.27,100,54,9,433,89,"Good",45,12,"Yes","Yes" +4.99,122,59,0,501,112,"Bad",32,14,"No","No" +10.1,135,63,15,213,134,"Medium",32,10,"Yes","Yes" +5.74,106,33,20,354,104,"Medium",61,12,"Yes","Yes" +5.87,136,60,7,303,147,"Medium",41,10,"Yes","Yes" +7.63,93,117,9,489,83,"Bad",42,13,"Yes","Yes" +6.18,120,70,15,464,110,"Medium",72,15,"Yes","Yes" +5.17,138,35,6,60,143,"Bad",28,18,"Yes","No" +8.61,130,38,0,283,102,"Medium",80,15,"Yes","No" +5.97,112,24,0,164,101,"Medium",45,11,"Yes","No" +11.54,134,44,4,219,126,"Good",44,15,"Yes","Yes" +7.5,140,29,0,105,91,"Bad",43,16,"Yes","No" +7.38,98,120,0,268,93,"Medium",72,10,"No","No" +7.81,137,102,13,422,118,"Medium",71,10,"No","Yes" +5.99,117,42,10,371,121,"Bad",26,14,"Yes","Yes" +8.43,138,80,0,108,126,"Good",70,13,"No","Yes" +4.81,121,68,0,279,149,"Good",79,12,"Yes","No" +8.97,132,107,0,144,125,"Medium",33,13,"No","No" +6.88,96,39,0,161,112,"Good",27,14,"No","No" +12.57,132,102,20,459,107,"Good",49,11,"Yes","Yes" +9.32,134,27,18,467,96,"Medium",49,14,"No","Yes" +8.64,111,101,17,266,91,"Medium",63,17,"No","Yes" +10.44,124,115,16,458,105,"Medium",62,16,"No","Yes" +13.44,133,103,14,288,122,"Good",61,17,"Yes","Yes" +9.45,107,67,12,430,92,"Medium",35,12,"No","Yes" +5.3,133,31,1,80,145,"Medium",42,18,"Yes","Yes" +7.02,130,100,0,306,146,"Good",42,11,"Yes","No" +3.58,142,109,0,111,164,"Good",72,12,"Yes","No" +13.36,103,73,3,276,72,"Medium",34,15,"Yes","Yes" +4.17,123,96,10,71,118,"Bad",69,11,"Yes","Yes" +3.13,130,62,11,396,130,"Bad",66,14,"Yes","Yes" +8.77,118,86,7,265,114,"Good",52,15,"No","Yes" +8.68,131,25,10,183,104,"Medium",56,15,"No","Yes" +5.25,131,55,0,26,110,"Bad",79,12,"Yes","Yes" +10.26,111,75,1,377,108,"Good",25,12,"Yes","No" +10.5,122,21,16,488,131,"Good",30,14,"Yes","Yes" +6.53,154,30,0,122,162,"Medium",57,17,"No","No" +5.98,124,56,11,447,134,"Medium",53,12,"No","Yes" +14.37,95,106,0,256,53,"Good",52,17,"Yes","No" +10.71,109,22,10,348,79,"Good",74,14,"No","Yes" +10.26,135,100,22,463,122,"Medium",36,14,"Yes","Yes" +7.68,126,41,22,403,119,"Bad",42,12,"Yes","Yes" +9.08,152,81,0,191,126,"Medium",54,16,"Yes","No" +7.8,121,50,0,508,98,"Medium",65,11,"No","No" +5.58,137,71,0,402,116,"Medium",78,17,"Yes","No" +9.44,131,47,7,90,118,"Medium",47,12,"Yes","Yes" +7.9,132,46,4,206,124,"Medium",73,11,"Yes","No" +16.27,141,60,19,319,92,"Good",44,11,"Yes","Yes" +6.81,132,61,0,263,125,"Medium",41,12,"No","No" +6.11,133,88,3,105,119,"Medium",79,12,"Yes","Yes" +5.81,125,111,0,404,107,"Bad",54,15,"Yes","No" +9.64,106,64,10,17,89,"Medium",68,17,"Yes","Yes" +3.9,124,65,21,496,151,"Bad",77,13,"Yes","Yes" +4.95,121,28,19,315,121,"Medium",66,14,"Yes","Yes" +9.35,98,117,0,76,68,"Medium",63,10,"Yes","No" +12.85,123,37,15,348,112,"Good",28,12,"Yes","Yes" +5.87,131,73,13,455,132,"Medium",62,17,"Yes","Yes" +5.32,152,116,0,170,160,"Medium",39,16,"Yes","No" +8.67,142,73,14,238,115,"Medium",73,14,"No","Yes" +8.14,135,89,11,245,78,"Bad",79,16,"Yes","Yes" +8.44,128,42,8,328,107,"Medium",35,12,"Yes","Yes" +5.47,108,75,9,61,111,"Medium",67,12,"Yes","Yes" +6.1,153,63,0,49,124,"Bad",56,16,"Yes","No" +4.53,129,42,13,315,130,"Bad",34,13,"Yes","Yes" +5.57,109,51,10,26,120,"Medium",30,17,"No","Yes" +5.35,130,58,19,366,139,"Bad",33,16,"Yes","Yes" +12.57,138,108,17,203,128,"Good",33,14,"Yes","Yes" +6.14,139,23,3,37,120,"Medium",55,11,"No","Yes" +7.41,162,26,12,368,159,"Medium",40,18,"Yes","Yes" +5.94,100,79,7,284,95,"Bad",50,12,"Yes","Yes" +9.71,134,37,0,27,120,"Good",49,16,"Yes","Yes" diff --git a/Data/Ch12Ex13.csv b/Data/Ch12Ex13.csv new file mode 100644 index 0000000..4da47c6 --- /dev/null +++ b/Data/Ch12Ex13.csv @@ -0,0 +1,1000 @@ 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+0.2587882,-0.9728448,0.5884858,-0.8002581,-1.820398,-2.058924,-0.06476437,1.592124,-0.173117,-0.1210874,-0.187579,-1.500163,-1.228737,0.855989,1.249855,-0.8980815,0.8702058,-0.2252529,0.4502892,0.5514404,0.1462943,0.12974,1.304229,-1.661908,-1.630376,-0.07742528,1.306182,0.7926002,1.559465,-0.6885116,-0.615472,0.009999363,0.94581,-0.3185212,-0.1178895,0.6213662,-0.07076396,0.4016818,-0.01622713,-0.5265532 +-1.152132,-2.213168,-0.8615249,0.6309253,0.9517719,-1.165724,-0.3915586,1.063619,-0.350009,-1.489058,-0.2432189,-0.433034,-0.03879128,-0.05789677,-1.397762,-0.1561871,-2.735982,0.7756169,0.6141562,2.019194,1.081139,-1.076618,-0.2434181,0.5134822,-0.5128578,2.551676,-2.314301,-1.27647,-1.229271,1.434396,-0.2842774,0.1989456,-0.0918332,0.3496279,-0.2989097,1.513696,0.6711847,0.0108553,-1.043689,1.625275 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+1.450658,1.310348,0.3838369,-0.4088601,-0.4711108,-1.392396,-0.8058084,0.2109001,1.727079,0.8628701,0.8207546,-0.7488937,1.560224,-0.5095834,1.071049,-0.9695467,-1.436005,0.4245734,-0.688211,-0.4130026,-0.3670095,-2.349555,1.323857,-0.7776493,-0.05239478,1.011977,1.719617,-0.5714752,1.165922,1.456871,0.1090179,-0.1285215,0.8602701,0.7650145,-2.36009,0.2526993,-1.461818,-0.8123422,-1.095099,-1.460114 +0.7179769,0.7634819,0.313576,-0.3264731,-0.1587002,0.468113,0.5191607,-0.4270991,2.759068,-2.571514,-1.037164,-1.530438,1.692381,0.3000961,-0.6435787,0.0567591,-1.265215,0.2781767,-0.499156,-0.4427016,1.20461,0.3110264,-0.8861183,-0.2463007,-0.8881552,-0.4879487,0.9232075,-0.5642434,0.1745982,-0.3590661,-1.105732,-0.8769501,-0.2987923,-0.5761456,-1.19678,0.4090315,-0.03228221,-0.5620644,-0.315811,0.1928633 diff --git a/Data/College.csv b/Data/College.csv index 0962a9c..041e87d 100644 --- a/Data/College.csv +++ b/Data/College.csv @@ -1,778 +1,778 @@ -"Private","Apps","Accept","Enroll","Top10perc","Top25perc","F.Undergrad","P.Undergrad","Outstate","Room.Board","Books","Personal","PhD","Terminal","S.F.Ratio","perc.alumni","Expend","Grad.Rate" -"Yes",1660,1232,721,23,52,2885,537,7440,3300,450,2200,70,78,18.1,12,7041,60 -"Yes",2186,1924,512,16,29,2683,1227,12280,6450,750,1500,29,30,12.2,16,10527,56 -"Yes",1428,1097,336,22,50,1036,99,11250,3750,400,1165,53,66,12.9,30,8735,54 -"Yes",417,349,137,60,89,510,63,12960,5450,450,875,92,97,7.7,37,19016,59 -"Yes",193,146,55,16,44,249,869,7560,4120,800,1500,76,72,11.9,2,10922,15 -"Yes",587,479,158,38,62,678,41,13500,3335,500,675,67,73,9.4,11,9727,55 -"Yes",353,340,103,17,45,416,230,13290,5720,500,1500,90,93,11.5,26,8861,63 -"Yes",1899,1720,489,37,68,1594,32,13868,4826,450,850,89,100,13.7,37,11487,73 -"Yes",1038,839,227,30,63,973,306,15595,4400,300,500,79,84,11.3,23,11644,80 -"Yes",582,498,172,21,44,799,78,10468,3380,660,1800,40,41,11.5,15,8991,52 -"Yes",1732,1425,472,37,75,1830,110,16548,5406,500,600,82,88,11.3,31,10932,73 -"Yes",2652,1900,484,44,77,1707,44,17080,4440,400,600,73,91,9.9,41,11711,76 -"Yes",1179,780,290,38,64,1130,638,9690,4785,600,1000,60,84,13.3,21,7940,74 -"Yes",1267,1080,385,44,73,1306,28,12572,4552,400,400,79,87,15.3,32,9305,68 -"Yes",494,313,157,23,46,1317,1235,8352,3640,650,2449,36,69,11.1,26,8127,55 -"Yes",1420,1093,220,9,22,1018,287,8700,4780,450,1400,78,84,14.7,19,7355,69 -"Yes",4302,992,418,83,96,1593,5,19760,5300,660,1598,93,98,8.4,63,21424,100 -"Yes",1216,908,423,19,40,1819,281,10100,3520,550,1100,48,61,12.1,14,7994,59 -"Yes",1130,704,322,14,23,1586,326,9996,3090,900,1320,62,66,11.5,18,10908,46 -"No",3540,2001,1016,24,54,4190,1512,5130,3592,500,2000,60,62,23.1,5,4010,34 -"Yes",713,661,252,25,44,712,23,15476,3336,400,1100,69,82,11.3,35,42926,48 -"No",7313,4664,1910,20,63,9940,1035,6806,2540,96,2000,83,96,18.3,14,5854,70 -"Yes",619,516,219,20,51,1251,767,11208,4124,350,1615,55,65,12.7,25,6584,65 -"No",12809,10308,3761,24,49,22593,7585,7434,4850,700,2100,88,93,18.9,5,4602,48 -"Yes",708,334,166,46,74,530,182,8644,3922,500,800,79,88,12.6,24,14579,54 -"No",1734,1729,951,12,52,3602,939,3460,2650,450,1000,57,60,19.6,5,4739,48 -"Yes",2135,1700,491,23,59,1708,689,12000,5920,500,500,93,93,13.8,30,7100,88 -"No",7548,6791,3070,25,57,16262,1716,6300,3933,600,1908,85,91,16.7,18,6642,69 -"Yes",662,513,257,12,30,2074,726,11902,4372,540,950,65,65,12.8,31,7836,58 -"Yes",1879,1658,497,36,69,1950,38,13353,4173,540,821,78,83,12.7,40,9220,71 -"Yes",761,725,306,21,58,1337,300,10990,3244,600,1021,66,70,10.4,30,6871,69 -"Yes",948,798,295,42,74,1120,15,11280,4342,400,1150,81,95,13,33,11361,71 -"Yes",627,556,172,16,40,777,538,9925,4135,750,1350,59,67,22.4,11,6523,48 -"Yes",602,483,206,21,47,958,466,8620,4100,400,2250,58,68,11,21,6136,65 -"Yes",1690,1366,662,30,61,2718,1460,10995,4410,1000,1000,68,74,17.6,20,8086,85 -"Yes",261,192,111,15,36,453,266,9690,4300,500,500,57,77,9.7,35,9337,71 -"Yes",1910,838,285,50,85,1004,15,19264,6206,750,750,98,98,10.4,30,13894,79 -"Yes",2496,1402,531,53,95,2121,69,17926,8124,600,850,83,93,10.3,33,12580,91 -"Yes",990,784,279,18,45,1811,3144,11290,5360,600,1800,76,78,12.6,11,9084,72 -"Yes",6075,5349,2367,34,66,9919,484,6450,3920,600,1346,71,76,18.5,38,7503,72 -"Yes",1163,850,348,23,56,878,519,12850,5400,400,800,78,89,12.2,30,8954,73 -"Yes",807,707,308,39,63,1198,605,8840,2950,750,1290,74,82,13.1,31,6668,84 -"Yes",632,494,129,17,36,709,131,9000,4850,300,2480,78,85,13.2,10,7550,52 -"Yes",1220,974,481,28,67,1964,623,7800,3664,650,900,61,61,11.1,19,7614,49 -"Yes",1320,923,284,26,54,1085,81,16304,3616,355,715,87,95,11.1,26,12957,69 -"No",1208,877,546,12,36,3796,824,4425,2700,660,1800,57,62,19.6,16,3752,46 -"Yes",632,620,222,14,24,702,501,9550,3850,350,250,64,84,14.1,18,5922,58 -"Yes",519,327,114,25,53,457,2,21700,4100,600,500,35,59,10.1,33,16364,55 -"Yes",3466,2330,640,20,60,3095,1533,13800,5510,630,850,87,87,17.5,20,10941,82 -"Yes",1858,1221,480,37,68,1620,49,8050,3940,350,2375,80,80,16.3,17,10511,63 -"Yes",878,816,200,16,41,706,62,8740,3363,550,1700,62,68,11.6,29,7718,48 -"Yes",202,184,122,19,42,537,101,8540,3580,500,1400,61,80,8.8,32,8324,56 -"Yes",502,384,104,11,28,347,74,6200,2900,600,800,63,63,11.7,13,7623,35 -"Yes",1646,1150,542,12,30,2128,82,5188,3396,650,2500,48,48,13.8,9,6817,58 -"Yes",805,588,287,67,88,1376,207,11660,4325,400,900,74,79,14,34,8649,72 -"Yes",500,336,156,25,55,421,27,6500,2700,500,1000,76,76,14.3,53,8377,51 -"No",6773,3028,1025,15,55,5847,946,7844,2948,500,1680,66,68,18,19,7041,75 -"Yes",377,358,181,15,30,653,129,7150,4350,450,1500,61,67,17.8,3,6259,53 -"Yes",692,514,209,20,50,760,81,9900,3990,400,900,76,71,13.3,19,9073,58 -"Yes",20192,13007,3810,45,80,14971,3113,18420,6810,475,1025,80,81,11.9,16,16836,72 -"Yes",3356,1019,418,76,100,1490,8,19030,5885,1495,875,93,96,11.2,52,20447,96 -"No",9251,7333,3076,14,45,13699,1213,7452,3352,600,1700,81,89,21.1,14,6918,67 -"Yes",443,330,151,5,36,453,42,14080,6270,500,900,57,80,10.2,21,15387,46 -"Yes",3767,3414,1061,30,58,4531,643,10870,4440,2000,1522,75,81,14.4,21,7671,85 -"Yes",4186,2743,740,48,77,2819,62,19380,6750,410,1000,90,97,9.8,24,17150,84 -"Yes",367,274,158,12,41,917,479,9592,5879,500,700,71,80,13.7,12,5935,49 -"Yes",1436,1228,1202,10,26,1320,822,4371,2370,500,2000,62,62,12.6,10,4900,18 -"Yes",392,351,155,16,44,738,430,10260,3597,600,1500,39,66,13.1,26,8355,58 -"Yes",838,673,292,22,53,881,55,10265,4725,560,875,68,73,13.2,24,8655,82 -"Yes",7365,5402,4615,48,82,27378,1253,2340,3580,860,1220,76,76,20.5,40,7916,33 -"Yes",12586,3239,1462,87,95,5643,349,19528,5926,720,1100,99,100,7.6,39,20440,97 -"Yes",1465,810,313,71,95,1088,16,18165,6750,500,1200,100,100,12.3,49,17449,89 -"Yes",6548,3813,862,49,85,3316,31,18550,4750,800,1200,95,97,14.2,36,13675,93 -"Yes",860,688,285,32,70,1928,442,13306,3797,450,950,62,69,8.8,10,6333,78 -"Yes",2362,2037,700,40,68,2607,148,13130,4650,500,1600,77,81,10.9,29,9511,83 -"Yes",599,494,224,8,28,1035,446,10518,6250,300,300,59,76,16.5,36,7117,71 -"Yes",1011,604,213,17,42,693,868,8900,4600,425,1000,87,96,13.9,25,7922,55 -"Yes",563,247,247,23,52,1427,432,12950,5300,612,576,72,74,12.4,17,8985,60 -"No",7811,3817,1650,47,73,12911,1404,7380,4877,612,2091,72,81,19.8,13,8453,59 -"No",4540,3294,1483,5,60,13494,1254,7706,4368,600,1926,90,90,21.2,8,7268,61 -"Yes",1784,1512,913,29,56,3401,136,10230,3710,400,1210,75,81,14.8,41,7786,81 -"Yes",2087,1339,657,20,54,3191,1204,7550,2790,600,500,77,77,21.8,34,3739,63 -"Yes",848,587,298,25,55,935,184,6060,3070,600,1300,62,66,17.7,13,5391,49 -"Yes",2853,2193,753,16,34,2978,434,10750,5340,400,1130,90,92,14.6,26,7972,64 -"Yes",1747,1382,449,34,66,1662,960,13050,4000,500,800,64,69,12.1,27,9557,83 -"Yes",100,90,35,10,52,282,331,8400,2812,300,2134,10,50,12.1,24,7976,52 -"Yes",2694,1579,489,75,93,1870,12,19292,3957,550,550,81,93,10.4,60,17960,91 -"Yes",8728,5201,1191,60,89,4265,291,17900,5690,450,1250,86,93,9.2,31,24386,74 -"Yes",1160,991,352,19,55,1357,737,12200,3880,480,930,74,81,17.8,25,7666,79 -"Yes",1096,951,464,27,62,1776,239,8150,3150,400,500,61,62,13.6,16,6716,67 -"Yes",1616,1427,434,20,43,1405,580,13125,3775,500,1300,74,89,15.9,22,7364,62 -"Yes",3877,3156,713,71,93,3051,513,15700,4730,525,1460,95,95,2.9,29,19733,67 -"No",1257,940,363,9,22,1547,294,7656,4690,400,700,89,91,14.7,8,6318,79 -"Yes",1083,880,291,13,34,915,80,9270,4100,600,1860,75,82,13.5,27,8425,55 -"Yes",1754,1465,505,24,49,2159,211,13712,6408,526,1100,90,96,9.3,18,12751,75 -"Yes",3847,3433,527,9,35,1010,12,9384,4840,600,500,22,47,14.3,20,7697,118 -"Yes",776,607,198,25,58,791,764,14340,5285,500,1000,58,83,11.7,39,10961,74 -"Yes",1307,1090,616,25,55,2196,82,7344,4410,570,1000,50,52,15.3,34,6897,64 -"Yes",369,312,90,12,46,396,526,11400,5400,500,760,41,85,9.5,20,9583,24 -"Yes",495,434,210,35,55,775,44,8950,3490,600,1900,86,92,11.3,25,9685,66 -"Yes",601,396,203,1,20,525,323,11230,6643,2340,620,8,58,6.8,4,13025,47 -"Yes",1283,1113,401,31,65,1355,40,10938,3660,650,600,76,90,13.5,29,8444,67 -"No",4158,2532,902,6,24,6394,3881,5962,4444,500,985,69,73,16.7,4,4900,49 -"No",4681,4101,1436,10,35,8094,1596,4620,3288,300,2250,69,80,19.7,4,5501,50 -"No",2785,2011,1007,8,65,6507,898,7242,3603,654,1416,67,89,18.1,0,6413,51 -"Yes",174,146,88,8,29,1047,33,8300,3080,600,600,62,62,15.2,18,3365,58 -"Yes",1013,888,288,55,82,943,7,11850,4270,600,900,95,99,11.4,60,13118,74 -"Yes",959,771,351,23,48,1662,209,16624,5895,600,1100,72,80,12.8,6,12692,47 -"Yes",212,197,91,28,56,471,148,13500,5230,400,850,95,98,9.3,37,16095,52 -"Yes",342,254,126,25,64,518,232,10335,5015,700,850,71,71,8.3,29,7729,73 -"Yes",81,72,51,33,71,139,3,8730,3600,400,800,92,92,9.3,17,10922,58 -"Yes",880,520,224,16,42,1068,364,9300,3260,600,900,81,81,11.1,24,8129,63 -"No",883,766,428,3,37,2910,1749,7860,4750,525,1889,80,82,21.2,16,4639,48 -"Yes",1196,697,499,21,47,959,13,4412,2460,500,1000,69,69,16.9,31,7083,21 -"Yes",1860,767,227,71,93,887,1,17000,6010,500,850,99,99,9.6,52,18443,87 -"Yes",2887,2059,457,30,61,1928,296,17500,4200,500,950,94,95,10.5,35,11951,79 -"Yes",460,340,167,14,45,604,350,10740,3676,350,900,67,71,11,27,7963,74 -"Yes",2174,1953,557,35,68,2332,53,15960,5580,700,1300,95,95,15.8,32,11659,77 -"No",8065,5257,2301,37,65,11755,770,8116,3610,800,1618,82,88,18,17,7597,73 -"No",689,561,250,15,30,1125,422,7168,3689,600,1900,67,67,18.1,9,4417,46 -"Yes",1006,742,275,29,60,1127,205,13925,4390,500,2200,73,86,12.7,32,10141,67 -"Yes",604,452,295,15,47,690,222,9888,4502,400,1000,64,77,12.1,39,8741,75 -"Yes",2848,1319,456,58,84,1720,35,18930,5590,500,1000,83,94,10.2,41,15954,91 -"Yes",4856,2492,727,46,75,2649,25,19510,5565,500,750,95,98,10.5,45,15494,93 -"Yes",1432,888,317,29,58,1121,493,10860,5760,550,900,56,62,12.9,23,8604,96 -"No",4772,3140,1265,22,55,6851,1200,6120,3460,666,2316,73,78,17.2,18,4776,51 -"Yes",798,620,238,14,41,1165,1232,9800,4430,400,1150,46,46,11.1,35,6889,100 -"Yes",946,648,177,23,46,707,432,11790,5770,500,1000,75,77,11.9,35,10015,83 -"Yes",344,264,97,11,42,500,331,12600,5520,630,2250,77,80,10.4,7,9773,43 -"Yes",457,356,177,35,61,667,1983,11180,5620,600,700,64,64,11.5,32,7477,75 -"Yes",938,864,511,29,62,1715,103,12247,4221,500,600,70,88,13.1,26,8847,72 -"Yes",511,411,186,23,51,1692,562,12224,4440,450,1000,63,87,11.5,32,7315,77 -"Yes",444,359,122,34,53,493,968,10900,5250,380,1000,68,70,11.4,23,9447,78 -"Yes",983,664,249,23,57,1698,894,9990,5666,800,1500,66,71,14.3,28,6084,64 -"Yes",546,447,189,16,42,873,683,11138,4138,600,1200,40,74,14,7,8820,80 -"Yes",141,118,55,12,21,201,173,8300,4850,450,1300,53,53,9.5,19,6936,76 -"Yes",672,596,278,29,60,1350,275,11844,3696,450,1146,54,76,11.6,33,8996,72 -"Yes",2994,1691,659,70,95,2675,22,18000,6300,400,900,92,96,11.3,55,12138,95 -"No",7117,3106,1217,68,88,5186,134,11720,4298,600,800,89,92,12.1,31,9534,93 -"Yes",2100,1883,553,29,65,1704,1,16240,4690,500,500,84,96,11.1,43,14140,69 -"Yes",3207,1577,490,56,87,1892,7,17142,4190,450,1200,85,97,11.3,51,14664,84 -"No",9478,6312,2194,29,65,15646,1829,8412,4180,470,1800,87,89,19.2,10,7850,59 -"Yes",314,158,132,10,28,690,5346,8294,3700,400,900,87,87,15.3,2,5015,37 -"Yes",737,614,242,21,67,968,237,10425,3975,500,1500,61,77,14.7,34,8693,76 -"Yes",6756,1930,871,78,96,3376,55,18624,6664,550,300,97,98,5.9,21,30639,99 -"Yes",281,266,139,13,29,1049,181,10500,3750,450,950,69,75,12.8,18,6955,45 -"Yes",232,216,106,16,34,534,172,6900,3800,450,1825,67,76,12.1,9,6875,42 -"Yes",688,497,144,30,75,641,101,10800,4440,570,1515,55,60,13.1,13,8415,55 -"Yes",528,403,186,22,56,1168,145,9216,4191,400,1000,56,64,12.1,13,7309,75 -"Yes",3035,1546,438,42,93,1630,232,18740,6300,600,500,86,95,10.7,40,14773,91 -"Yes",440,407,149,35,70,643,80,12050,3700,500,900,63,76,10.2,31,10965,75 -"Yes",1538,1329,383,33,68,1140,10,15248,4323,550,800,71,76,12.2,31,10340,64 -"Yes",2967,2836,876,30,60,3450,644,10628,4372,650,2055,85,90,6.5,32,22906,85 -"Yes",1576,1110,274,24,55,992,112,8000,3700,400,500,51,52,14.1,28,5807,51 -"Yes",995,789,398,26,47,1306,122,6230,3526,400,600,42,44,13,4,8189,63 -"Yes",866,619,157,18,47,1074,336,8920,4310,680,1320,68,68,14.6,42,6898,46 -"Yes",504,482,185,10,36,550,84,9130,3322,450,1450,46,51,12.6,25,8686,54 -"Yes",585,508,153,12,30,460,536,12292,4934,500,500,61,61,22.2,10,8643,72 -"Yes",8587,2273,1087,87,99,3918,32,19545,6070,550,1100,95,99,4.7,49,29619,98 -"Yes",2373,956,452,77,96,1601,6,17295,5070,600,1011,95,97,12,46,17581,94 -"Yes",571,461,174,10,26,645,283,10850,3670,400,1159,58,60,12.8,19,7505,56 -"No",967,945,459,15,48,2806,538,4528,1880,500,1200,49,63,17.1,16,5113,58 -"Yes",2762,2279,533,32,60,1835,14,16900,4720,500,600,88,97,11.6,45,12423,81 -"Yes",1994,1656,495,50,80,1983,36,14300,5020,550,950,78,94,11.1,31,11525,82 -"Yes",3014,2539,487,31,68,1889,62,18700,5000,595,1250,87,94,11.2,39,13861,87 -"No",434,412,319,10,30,1376,237,4486,2146,600,2000,50,64,16.5,28,4525,46 -"Yes",1998,1376,651,41,88,1539,45,6700,3650,500,2307,52,52,14.1,12,7566,61 -"Yes",793,709,244,20,47,1022,411,9570,3000,400,1000,67,72,15.1,42,6852,60 -"Yes",360,329,108,4,19,756,863,8310,5500,600,1800,43,43,12.7,5,5480,54 -"Yes",604,562,328,25,50,1048,56,9800,2650,450,2800,61,60,12.5,17,7325,87 -"Yes",1011,829,410,9,33,1059,2458,9000,3100,450,1413,77,78,12.4,7,11178,42 -"Yes",2799,2573,839,34,65,3322,726,13420,4770,560,1675,88,93,15,24,9473,77 -"Yes",2153,1580,321,56,84,1192,87,18432,5616,520,660,93,97,10.2,28,14907,83 -"Yes",700,650,314,33,66,1065,48,8730,3523,500,750,82,92,13.2,35,9303,67 -"Yes",13789,3893,1583,90,98,6188,53,18590,5950,625,1162,95,96,5,44,27206,97 -"Yes",1358,1006,274,35,63,1028,13,15036,4056,600,600,90,94,10.6,46,14634,78 -"No",9274,6362,2435,14,44,13171,1687,7248,3240,500,1700,74,78,13.2,18,9002,58 -"No",3330,2730,1303,15,36,6706,2640,5800,3000,600,2200,73,75,14,9,9825,42 -"Yes",379,341,265,10,36,1050,151,4950,2780,530,1500,62,62,15.7,7,5619,38 -"Yes",458,369,165,16,42,1057,355,11190,4800,450,1230,60,60,13.6,22,8135,54 -"No",2172,1493,564,14,50,2766,1531,5962,4316,650,500,71,76,16.9,14,5719,50 -"No",5597,4253,1565,12,38,9161,845,5710,3066,120,1730,62,71,16.2,5,5682,76 -"Yes",486,440,227,19,48,903,59,9650,3800,600,1300,46,65,11.4,29,10188,82 -"Yes",516,409,200,17,40,1238,30,8770,3500,450,700,58,58,17.3,17,6430,70 -"Yes",1422,1109,366,33,65,1363,23,15360,4080,600,1000,82,89,12.8,26,15003,59 -"Yes",2417,1843,426,36,70,1476,299,14190,4400,500,750,65,68,12.8,25,9815,81 -"Yes",1457,1045,345,27,50,1109,502,14990,4980,450,550,77,98,21.5,21,7502,64 -"Yes",245,208,125,23,46,544,436,11800,4765,450,1700,71,71,11.3,21,8952,86 -"Yes",3624,2786,858,11,39,2933,334,9100,3883,490,1777,70,74,18.9,34,6329,63 -"Yes",3151,2584,958,14,40,4772,856,7800,3750,570,3020,37,43,16.5,4,12878,44 -"Yes",765,646,226,30,60,809,32,8578,4408,700,1600,79,88,13.9,51,8061,82 -"Yes",8506,4168,1236,76,97,5544,192,17600,6000,600,870,97,98,5,28,28457,96 -"No",1256,1256,853,43,79,3957,588,5401,3144,450,1888,72,75,19.3,4,5527,50 -"Yes",659,557,167,47,74,532,35,10485,3840,475,1246,76,80,13.5,47,7527,67 -"Yes",560,454,113,36,56,484,16,10955,3450,330,670,62,87,10.6,31,9552,53 -"No",1801,1101,438,14,50,3065,363,6297,4600,600,1323,75,78,18.1,14,8355,68 -"Yes",4784,3346,781,30,66,2984,1037,15000,6200,700,1100,86,90,15.1,30,11220,94 -"No",1455,1064,452,1,16,2632,617,6806,2550,350,766,75,75,15.1,10,6972,24 -"Yes",1339,1107,336,12,36,1051,82,9400,4200,500,1600,53,58,12.5,9,7967,22 -"Yes",1415,714,338,18,52,1345,44,5120,3200,500,2140,52,60,18.1,9,3930,69 -"Yes",1947,1580,523,39,74,1863,233,13900,4140,750,1500,90,90,10.6,7,8923,57 -"No",3306,2079,1071,42,89,10208,9310,6597,2494,800,3028,81,96,13.9,20,6722,66 -"Yes",1381,1040,374,20,44,1506,970,8025,4865,400,650,65,74,17.4,10,6339,68 -"No",11651,8683,3023,50,90,18906,3242,6680,4060,600,1020,80,89,23.1,15,7250,58 -"Yes",291,245,126,16,49,981,337,8390,4100,350,1500,45,55,21.5,24,4607,62 -"Yes",4200,2874,942,30,55,4740,1646,14235,6965,600,1735,86,97,14.4,14,10864,80 -"No",3440,2823,1123,16,35,3793,486,6198,3320,500,2500,89,97,19.1,6,4362,46 -"No",1801,1655,819,13,38,3224,436,5840,3138,400,2430,76,76,19.1,8,5039,43 -"Yes",553,452,228,22,49,1301,242,9650,4400,600,1000,57,69,14.9,8,6336,83 -"Yes",804,632,281,29,72,840,68,10390,4040,525,1345,54,78,12.5,37,11751,60 -"Yes",5187,4471,446,3,14,1818,1197,13320,4630,500,800,50,56,17.6,16,6418,51 -"Yes",895,548,314,20,54,1174,50,5500,3340,600,1600,68,76,16.1,13,6078,62 -"Yes",346,274,146,51,87,704,63,9900,3670,630,1818,59,59,10.5,14,8095,54 -"Yes",2161,1951,685,56,82,2371,175,13440,4048,600,1250,92,95,13.5,28,12940,82 -"Yes",2464,1908,678,24,57,2693,691,10970,4280,500,1380,47,51,13.3,18,7711,65 -"Yes",1110,930,332,18,36,1603,374,8180,4270,500,500,65,58,15.2,12,5664,29 -"Yes",668,534,237,19,39,1306,258,9476,4820,500,1100,67,67,20.1,26,6786,74 -"Yes",809,726,294,27,52,1271,43,12500,4130,400,1050,53,53,13.5,22,7136,52 -"No",5653,4326,1727,17,29,9528,3822,10800,4840,580,1050,93,96,19.3,7,6751,46 -"Yes",7875,5062,1492,38,71,5471,1470,17450,6328,700,950,92,93,7.6,15,14745,72 -"Yes",727,693,286,30,55,1063,48,8100,3950,550,550,73,76,13.3,28,7508,55 -"Yes",11115,2881,1390,71,93,5881,406,18300,7131,670,1700,91,92,7.2,27,19635,95 -"No",7837,4527,2276,89,99,8528,654,6489,4438,795,1164,92,92,19.3,33,11271,70 -"No",3793,2341,1238,9,24,7732,9054,6744,2655,720,3450,87,89,19,10,7762,34 -"Yes",348,281,127,12,52,1095,785,9150,3950,500,800,56,59,12.2,27,7348,76 -"Yes",3596,2466,575,42,78,1944,46,19964,4328,500,500,94,95,12.1,32,14720,83 -"Yes",633,468,284,10,27,823,963,6120,2985,531,1830,25,25,27.6,4,6081,36 -"Yes",1886,1524,526,31,67,2523,296,13000,4450,600,2400,78,90,14.7,32,9553,69 -"Yes",674,565,282,25,54,1151,39,12200,4070,400,1200,73,82,14.2,32,9226,66 -"Yes",440,396,221,26,51,910,166,9420,3730,600,1230,51,56,9.9,46,10270,72 -"Yes",1151,813,248,40,64,850,80,15588,6174,500,1200,78,90,9.2,34,16623,77 -"Yes",548,428,167,18,46,618,113,8958,3670,300,1000,53,59,15.3,26,9798,64 -"Yes",555,414,242,14,41,996,2281,9100,3100,550,880,51,61,23.6,24,5609,47 -"No",5165,3887,1561,20,60,8234,2619,6108,3800,500,1000,64,66,20.6,9,5063,57 -"Yes",780,628,198,7,20,545,42,11750,2700,400,850,77,83,14,24,6475,76 -"Yes",608,494,176,10,31,649,314,8330,3770,550,1300,64,80,13,31,7949,39 -"Yes",510,387,194,20,46,771,53,10310,4530,400,800,57,61,14.3,16,8222,60 -"Yes",2039,1389,432,56,91,1333,30,15688,4618,400,400,88,92,9.5,54,18979,83 -"Yes",2491,1110,573,57,88,2213,35,5224,3048,525,350,65,65,18.4,18,4957,100 -"Yes",1202,1054,326,18,44,1410,299,13404,5160,450,1050,78,86,15.6,30,9114,65 -"Yes",1709,1385,634,36,72,2281,50,14125,3600,400,700,79,89,12.5,58,9907,80 -"Yes",380,237,104,30,56,716,1108,11000,5550,500,500,36,41,7.8,22,7483,96 -"Yes",3140,1783,454,40,82,1646,24,19700,5050,300,800,91,96,9.6,60,17761,91 -"Yes",1006,825,328,34,73,1362,102,13252,4194,450,550,89,93,13,33,10296,65 -"Yes",817,644,307,20,40,945,1,13218,4773,660,600,95,97,13.3,53,12263,69 -"Yes",7178,3755,1433,25,63,4623,740,7161,3518,600,2000,60,64,14,9,6791,70 -"Yes",1006,837,317,33,65,1024,15,8200,3485,500,1200,84,84,10.6,26,9248,64 -"Yes",467,424,350,16,40,1365,334,6300,2980,700,2140,75,79,13.7,10,7054,38 -"Yes",1721,1068,806,35,75,3128,213,5504,3528,700,910,71,77,17.7,37,6466,73 -"Yes",2083,1725,430,22,49,1464,67,17480,4780,500,700,75,87,12.3,32,11625,73 -"Yes",13865,2165,1606,90,100,6862,320,18485,6410,500,1920,97,97,9.9,52,37219,100 -"Yes",1377,572,178,95,100,654,5,17230,6690,700,900,100,100,8.2,46,21569,100 -"Yes",817,708,262,22,52,935,37,9376,3272,500,1902,57,63,13,17,7335,52 -"Yes",823,721,274,52,87,954,6,8800,3195,500,1200,82,99,13.1,26,8588,63 -"Yes",920,745,347,35,66,1133,42,11090,4700,400,750,80,80,12,31,12639,79 -"Yes",922,729,244,37,66,1000,275,14067,4560,400,1000,75,95,10.6,34,12165,79 -"Yes",2688,2081,500,25,53,1792,5,19029,5841,600,600,99,99,12.1,37,13040,79 -"Yes",7428,5860,1349,25,63,6534,1350,11600,5920,1000,1000,81,90,13.9,10,10093,60 -"Yes",602,498,215,26,58,795,74,13470,5515,500,850,78,91,11.1,48,13957,72 -"Yes",699,565,176,36,64,710,399,13960,6040,450,690,82,88,14.4,34,12434,72 -"Yes",1712,1483,624,37,69,2505,208,12275,4341,465,1100,72,81,12.5,40,9284,72 -"Yes",949,786,302,30,70,1210,26,9990,3550,500,1500,85,90,15,24,8187,67 -"Yes",608,520,127,26,47,538,126,8080,3920,500,1100,63,72,11.4,9,7703,44 -"Yes",450,430,125,20,46,488,43,9950,3920,300,1300,76,76,11.8,25,9466,47 -"Yes",600,197,124,3,9,392,69,7260,3090,600,1840,31,35,12.9,4,9249,21 -"Yes",723,652,361,10,30,951,706,7800,4000,350,1500,36,44,22,4,4923,84 -"Yes",607,558,269,22,47,1222,519,10500,4348,650,1500,81,91,11.6,29,8324,75 -"Yes",894,787,262,28,63,909,28,8050,3850,600,1000,75,75,15.6,30,7348,52 -"Yes",1756,1360,478,42,77,1911,626,14550,4620,500,700,80,88,12.3,26,12851,56 -"No",8681,6695,2408,10,35,15701,1823,7799,3403,537,2605,77,84,21,16,5569,54 -"Yes",3050,1342,471,55,86,1818,23,14360,4090,400,650,77,92,12.9,34,9605,83 -"Yes",268,253,103,16,44,494,1305,10000,5364,500,1000,56,64,11.2,33,7305,69 -"Yes",1163,927,386,16,49,1685,556,8840,4689,750,2775,67,69,11.4,21,6095,95 -"No",5659,4761,3147,10,31,8596,1949,6892,3706,600,2500,72,76,16.6,8,6996,40 -"No",16587,13243,5873,25,72,24763,2717,9766,3990,600,2000,77,88,21.3,24,8686,68 -"Yes",735,423,366,20,48,2448,707,9210,3782,700,1000,49,51,39.8,15,6562,34 -"Yes",4892,3530,913,13,33,3906,1446,10690,6790,570,1150,66,83,16,14,8107,66 -"No",8427,7424,3441,26,59,18676,1715,7550,3224,640,2055,81,88,19.2,22,8420,65 -"Yes",7259,5526,1368,23,52,5612,166,14424,6192,634,1000,58,79,11.5,25,9812,75 -"No",11223,5285,2082,32,72,9652,742,7994,4544,500,732,77,81,17.9,29,5212,98 -"Yes",472,410,262,14,41,9950,71,7620,3050,400,400,51,53,17,21,3186,54 -"No",2957,1423,691,10,30,3817,1394,3946,4800,400,1500,63,67,14.9,10,8367,26 -"Yes",605,405,284,24,53,961,99,6398,3672,400,1350,68,68,13.3,19,8118,75 -"Yes",2421,2109,820,27,57,3168,392,11700,5550,600,450,89,90,14.5,28,7738,89 -"Yes",8474,3446,911,75,94,3566,1569,18800,6740,500,1040,96,97,3.3,38,56233,90 -"No",833,669,279,3,13,1224,345,7656,4690,500,624,80,91,14.4,15,6564,36 -"Yes",313,228,137,10,30,552,67,9414,4554,500,1700,34,55,10.6,30,7840,56 -"Yes",1005,859,298,36,55,1075,43,14850,4460,450,420,97,97,12.7,37,12067,80 -"No",5880,4075,2833,25,55,14914,2246,6995,3120,600,2000,76,86,18.5,22,6122,54 -"Yes",589,575,148,16,40,474,258,8400,3250,500,1400,63,55,12.4,14,6535,68 -"No",3121,2446,822,5,19,3480,776,7870,4157,500,1150,73,73,16.1,13,6195,61 -"Yes",584,497,175,20,49,662,121,8000,4150,500,1300,57,65,11.3,32,7058,62 -"Yes",2212,1538,408,44,75,1445,1,19240,3690,750,480,95,95,11.1,46,14067,88 -"Yes",461,381,174,10,43,738,55,9600,4550,600,750,55,94,13.3,43,7863,51 -"Yes",1456,1053,381,20,45,500,541,10910,5160,400,1795,66,72,15.6,37,7649,87 -"Yes",355,300,142,34,65,509,44,8664,3350,600,3000,65,68,10.7,25,8954,65 -"Yes",1040,845,286,48,77,967,24,15747,4062,400,800,88,95,12.7,33,13224,79 -"Yes",361,321,185,10,41,650,819,8842,4782,600,1100,57,73,14.2,14,7022,52 -"Yes",2929,1834,622,20,56,2738,1662,12600,5610,450,3160,90,90,15.1,9,9084,84 -"Yes",4010,2402,572,36,59,2018,226,18730,5740,600,1000,93,96,10.5,38,15365,92 -"Yes",544,399,177,15,35,600,363,6987,3585,750,1500,77,83,12.5,12,9067,75 -"Yes",979,638,271,31,70,968,20,16880,3970,920,1320,91,94,10.7,19,15687,77 -"Yes",497,452,231,24,47,887,1957,9400,4005,500,1000,49,65,17.2,25,4054,57 -"No",2336,1725,1043,10,27,5438,4058,4752,3040,508,1463,48,82,18.4,12,5879,26 -"Yes",831,538,224,15,35,840,325,5170,3430,600,1590,61,61,16.1,10,5531,60 -"No",1166,1009,510,9,33,2074,341,4938,2987,528,1702,67,77,17,11,6119,51 -"Yes",1243,947,324,50,77,1129,74,17163,3891,525,975,76,92,10.1,57,13965,77 -"Yes",1470,1199,425,21,76,1820,558,11040,4840,400,900,89,92,13.3,28,8118,94 -"Yes",1386,1060,320,28,56,965,502,13850,4755,400,1125,84,84,12.3,30,8196,85 -"Yes",6397,4304,1092,40,84,4298,132,18700,5580,750,1130,96,99,12.5,43,14665,91 -"Yes",979,743,259,25,46,1188,166,10100,4000,400,1000,88,92,12,20,8539,66 -"Yes",244,198,82,12,33,1134,336,11700,5300,550,805,71,88,27.8,18,8694,58 -"Yes",477,417,204,29,54,1532,77,8840,4240,600,1400,58,70,20.8,23,6863,56 -"Yes",2774,2092,482,35,64,1763,59,15800,4790,450,950,97,98,12.3,21,12999,69 -"Yes",1154,1050,395,12,31,2192,1423,10560,4520,500,1200,36,48,14.3,10,7701,61 -"Yes",787,562,363,21,55,925,605,5950,2890,600,1300,67,72,14.6,35,5177,53 -"No",1660,1091,326,15,41,1196,33,4818,3400,350,1400,71,72,12.6,8,10912,45 -"Yes",810,484,356,6,33,2155,191,9200,4800,1000,4200,65,85,24.1,9,3480,100 -"Yes",1561,1188,458,48,72,1548,840,13380,4210,500,900,89,91,17.8,34,8747,81 -"Yes",900,473,217,22,47,621,11,4400,3400,800,900,53,93,10.4,16,9268,92 -"No",3570,2215,651,17,41,3390,325,7352,3620,225,500,47,55,16.1,14,6374,63 -"No",2747,1870,724,12,47,2874,118,7920,3962,550,2200,74,80,18.4,23,5553,62 -"Yes",1641,1283,527,20,39,1663,170,11200,4000,500,1200,61,62,14.2,24,7578,70 -"Yes",2013,1053,212,33,61,912,158,5150,3036,500,1655,64,74,10.5,11,7547,59 -"No",5996,4993,3079,29,57,16269,3757,5925,2980,600,2242,83,87,15.9,11,6741,37 -"No",2397,2144,1525,22,45,6720,1822,3957,2325,618,1656,66,77,20,13,4546,45 -"Yes",4076,3137,738,25,54,3010,184,12990,6300,600,900,86,88,14.7,27,9448,80 -"Yes",3768,2662,753,42,64,3558,436,13592,5916,545,1328,84,88,14.2,10,11677,84 -"Yes",1891,1698,719,24,80,2740,761,11100,5870,600,750,77,88,11.7,14,9456,53 -"Yes",3579,2959,868,25,55,5244,3417,11500,5330,700,2000,94,95,6.2,15,13009,65 -"Yes",1549,1392,587,38,72,2269,85,13240,3560,600,400,73,85,13.8,38,8949,77 -"Yes",1286,1005,363,16,37,1363,74,13900,4300,500,900,75,81,14,32,8024,72 -"Yes",1756,1500,366,3,21,1524,280,12450,5400,450,870,62,66,12.4,24,8832,70 -"No",535,502,223,6,20,959,150,7320,4640,500,600,48,65,12.6,15,7114,51 -"Yes",2939,1496,452,56,86,1723,113,15909,4772,500,700,85,91,11.9,37,14213,77 -"Yes",740,558,177,12,29,628,63,9620,3750,550,950,49,55,10.8,33,10642,59 -"Yes",874,758,428,21,46,1605,246,9858,3700,450,1200,42,45,17.6,16,4796,55 -"Yes",1004,802,239,23,63,909,51,10440,3850,525,1450,63,72,11.8,20,7940,64 -"Yes",2432,1730,563,20,63,2578,254,12370,6800,500,1800,92,92,13.6,25,10062,79 -"Yes",962,750,212,21,54,830,150,14700,6550,450,400,97,97,11.3,24,11291,70 -"No",3073,2672,1547,9,29,9649,1792,4300,2643,450,1660,57,68,19,11,5801,68 -"Yes",824,670,337,15,41,1160,653,9400,3400,500,1100,37,37,8.4,21,5352,59 -"Yes",1611,960,342,27,60,1089,210,13850,3920,470,810,80,97,13.2,30,10223,96 -"Yes",4731,3171,830,12,31,3557,658,10700,5925,550,1200,74,81,17.6,34,8408,69 -"Yes",5152,4600,1685,36,71,7016,804,11610,4760,600,1950,86,94,13.5,25,9982,77 -"Yes",4226,3666,2007,14,60,7703,2339,5094,4010,700,1560,77,86,16.6,10,6203,50 -"Yes",499,441,199,26,52,846,377,11200,7400,600,1300,66,79,6.8,50,10819,90 -"No",4350,2178,756,39,78,2997,736,6490,4942,650,2102,75,80,17.6,30,5358,84 -"Yes",478,327,117,9,34,731,370,11510,6450,575,1075,71,93,10.3,30,10502,77 -"Yes",695,535,239,21,30,988,785,10200,7000,350,1100,63,76,11.7,20,10622,68 -"Yes",941,772,214,10,30,1247,776,11390,5280,500,750,77,82,10.6,17,8575,55 -"Yes",1464,888,176,26,52,624,128,11200,4208,500,1642,80,90,11.1,43,8317,51 -"Yes",549,397,169,26,51,1343,1751,9250,4550,425,1350,52,58,13.1,13,5925,61 -"Yes",1107,859,323,13,51,1452,402,11040,4500,600,700,65,76,11.8,30,9034,66 -"Yes",6411,2140,1078,96,99,4481,28,20100,5975,725,1600,99,99,10.1,35,33541,94 -"No",233,233,153,5,12,658,58,4486,2516,600,1900,68,68,15.7,11,6971,51 -"Yes",1002,555,119,16,43,836,684,7680,3740,500,800,70,74,17.7,21,6652,52 -"Yes",578,411,187,25,50,880,477,6930,3452,400,1525,57,64,11,11,6383,32 -"Yes",420,293,93,11,32,336,80,7950,3750,600,2740,54,54,9.8,45,9754,48 -"Yes",2286,1668,564,37,70,2943,1260,11985,4081,400,1500,93,95,9.2,15,8995,91 -"Yes",1557,1074,397,15,40,1805,433,9813,4050,425,1000,45,63,16.7,29,7307,78 -"Yes",857,772,376,25,58,1721,470,6720,3250,450,1520,77,82,13.9,33,6881,82 -"Yes",1981,1541,514,18,36,1927,1084,12500,6200,375,1000,73,75,16.8,22,8707,80 -"No",1584,1456,891,6,18,3471,911,5016,3798,540,2256,48,48,28.8,12,3871,59 -"Yes",1742,1382,607,30,64,2258,53,10300,5080,475,1200,68,75,14.1,30,7762,89 -"No",9239,7788,3290,35,39,13606,807,8856,3960,500,1382,81,89,17.6,20,7846,85 -"No",18114,15096,6180,23,57,26640,4120,10658,3734,504,600,93,95,14,9,10520,71 -"No",2618,2288,1032,42,77,5524,414,8127,3978,900,1200,82,82,17,25,7473,65 -"Yes",331,331,225,15,36,1100,166,6840,3720,1100,4913,33,33,15.4,20,5524,49 -"No",6011,3075,960,22,60,5146,1532,7844,3830,450,1258,72,74,16.8,20,7832,71 -"Yes",610,461,189,26,52,685,49,8200,3300,550,1000,63,69,12,16,8128,64 -"Yes",1444,1261,456,29,62,1788,95,11910,4378,450,965,60,77,11.4,25,8149,75 -"Yes",905,834,319,32,61,1073,179,11320,4402,550,1350,82,89,12.7,38,11218,58 -"Yes",1217,1088,496,36,69,1773,884,11505,3255,1000,2075,35,46,16.7,23,7140,67 -"Yes",594,385,307,36,57,1695,721,5580,2830,600,700,77,79,16.5,18,6170,61 -"No",4255,3277,1609,18,57,10094,1621,9866,3084,480,1479,77,77,15.9,20,6223,53 -"No",480,405,380,19,46,1673,1014,4386,2217,600,1500,49,54,15.8,8,5704,63 -"No",1576,1326,913,13,50,3689,2200,3840,2852,200,400,52,54,20.3,9,4172,100 -"Yes",1310,983,316,5,35,1057,175,8550,5050,400,900,35,67,17.4,16,4333,27 -"Yes",601,503,204,28,57,671,11,13000,4100,400,460,91,91,11.6,43,11087,56 -"Yes",2707,1881,478,14,34,1893,847,12480,5290,530,1740,70,85,14.2,15,9492,54 -"No",572,544,320,45,72,1470,416,6073,3400,550,1400,71,71,16.4,31,6112,74 -"No",3500,2836,1779,15,42,8730,993,5552,3710,550,2300,75,83,17.6,8,6324,37 -"No",5220,2128,865,19,53,6411,3186,3648,4834,700,950,82,87,21.5,9,6717,58 -"Yes",263,223,103,10,24,316,20,8438,3372,500,2958,42,50,11.1,4,11989,15 -"No",2442,2164,1189,12,37,5983,1075,4426,2664,600,1000,76,81,18.1,19,4795,60 -"Yes",1232,955,303,23,58,1241,485,14990,4730,550,1250,86,92,15.2,28,9566,74 -"Yes",3708,1678,722,41,66,2852,153,7050,5490,250,600,71,74,17.8,10,8122,83 -"Yes",586,533,239,16,36,950,228,10520,3678,500,1000,48,68,13,32,8111,56 -"Yes",882,730,330,2,13,926,12,4515,2550,850,2100,53,60,18.6,34,6990,60 -"Yes",1800,1314,526,47,79,1891,40,19300,5700,750,750,79,91,9,51,18359,84 -"Yes",279,276,126,17,37,600,435,6844,2980,500,500,45,55,11.7,38,5073,44 -"Yes",235,217,121,12,32,931,487,8950,3119,550,1125,51,51,10.7,26,7016,78 -"Yes",368,317,159,20,49,806,542,10500,3555,500,2285,44,50,11.3,30,6695,64 -"Yes",325,284,95,16,33,364,88,9900,3650,500,1200,32,37,13.6,43,6525,21 -"Yes",1321,1159,328,15,36,1243,79,12850,6200,550,900,77,82,12.8,36,8536,80 -"Yes",1170,695,238,14,48,1170,429,7470,4600,250,1400,74,75,15.3,23,6898,88 -"Yes",657,537,113,37,90,1039,466,12474,5678,630,1278,53,71,11.9,19,10613,72 -"Yes",1310,1086,458,26,61,1365,144,12250,3530,400,1150,85,87,16.7,35,7215,81 -"Yes",510,485,334,18,36,1114,94,7400,3346,600,600,57,57,19.8,7,6869,58 -"Yes",2519,1836,462,30,61,1656,352,16975,4565,600,850,76,86,12.8,39,10888,83 -"No",2225,1910,1190,29,55,5968,955,4738,3110,700,940,72,76,20.2,27,5972,52 -"Yes",1109,922,375,24,46,1115,70,13240,3914,600,800,73,85,13.4,27,9333,73 -"Yes",513,347,279,23,48,2508,505,9090,4500,650,500,62,65,18.3,2,7905,71 -"Yes",947,798,266,36,68,1274,471,10850,5150,550,800,77,93,13.6,24,8797,61 -"No",1879,1216,483,27,62,3311,1646,8832,5376,700,1850,92,98,13.5,19,12529,72 -"No",787,601,233,40,73,1017,411,5376,3214,600,1100,99,100,13.7,11,9241,34 -"Yes",13594,7244,2505,70,86,12408,2814,17748,7262,450,1000,87,98,7.8,16,21227,71 -"Yes",872,722,154,14,36,601,36,10194,2600,500,1500,57,63,11.4,32,5788,83 -"Yes",2220,1796,467,65,99,1919,334,10320,4762,450,650,68,100,14.2,20,7788,65 -"No",1563,1005,240,1,19,1380,136,5542,4330,500,1000,65,71,14.2,17,6562,57 -"No",4809,3089,1429,12,33,6162,871,6806,1780,600,1651,72,72,16.7,9,7090,44 -"No",10634,7064,3176,39,78,16505,5481,8400,6540,600,1300,92,98,17.5,21,9670,62 -"Yes",812,689,195,7,24,646,84,8242,4230,600,1295,77,77,12.7,11,10090,52 -"Yes",1127,884,308,30,64,1310,766,11718,7398,450,1800,73,87,16.4,33,8871,76 -"No",2968,2297,1610,13,47,7368,1128,5834,2744,600,2000,79,83,17,24,6310,42 -"Yes",465,361,176,19,39,879,156,12580,4345,400,970,76,79,13.1,24,10889,74 -"No",6040,4577,1620,36,72,5640,266,4856,3416,400,1100,69,72,15.7,13,6601,76 -"Yes",11901,8492,2517,16,42,11160,10221,13380,7425,600,1750,73,82,12.9,17,9563,46 -"No",5891,4931,1973,23,48,11249,2682,6746,3728,620,2342,78,83,21.7,7,6157,41 -"No",10706,7219,2397,12,37,14826,1979,7799,3296,470,1750,73,78,17.3,11,6086,56 -"No",2729,2535,1257,8,29,4787,472,3735,3136,250,1630,62,65,21.7,23,5284,54 -"Yes",616,514,385,29,52,1115,60,9840,2820,450,822,59,59,14.8,20,6261,58 -"Yes",860,811,366,22,56,1040,52,9900,3075,300,1800,68,68,14.9,34,6357,68 -"Yes",12289,5200,1902,85,98,7450,45,16404,5520,759,1585,96,100,6.8,25,26385,92 -"Yes",1743,1625,626,8,29,1862,382,14134,5270,500,800,71,74,13.1,22,9209,63 -"Yes",379,324,107,15,37,500,311,9990,4900,400,600,44,47,12.1,26,4948,33 -"No",3041,2581,1173,16,56,6441,3982,9114,4030,400,650,88,90,19.7,13,6637,53 -"Yes",4778,2767,678,50,89,2587,120,19670,5820,575,1119,77,96,10.1,47,16593,83 -"Yes",2324,1319,370,52,81,1686,35,16560,5140,558,1152,91,93,10.5,30,16196,79 -"Yes",792,649,186,56,87,769,377,12900,4340,600,4110,91,95,13.1,27,8568,67 -"Yes",2936,2342,669,35,62,2502,66,15990,4080,600,825,73,78,14.5,31,9979,83 -"No",11023,8298,3183,21,54,14861,1310,7629,4095,550,2300,79,87,20.4,13,8811,64 -"Yes",2190,1700,458,36,65,1780,48,16732,5650,550,550,93,93,12.1,32,12011,75 -"Yes",758,681,484,35,59,1707,705,5390,3140,515,1290,63,71,15.1,18,5511,50 -"Yes",776,765,351,22,44,1419,228,6400,3150,500,1900,58,64,16.2,8,6578,45 -"No",4522,3913,2181,29,57,12830,1658,5336,3344,800,3100,84,92,15.3,14,6433,48 -"Yes",1496,1205,428,26,57,1648,936,12888,4440,420,840,62,68,13.9,30,8802,87 -"Yes",910,773,450,31,73,1310,61,6530,2800,500,1500,63,67,13.3,10,6413,65 -"Yes",2308,1336,295,22,46,1202,942,8530,3644,616,1576,56,64,14.9,25,7114,37 -"Yes",8256,3750,1522,37,70,5809,4379,11000,5160,660,1115,90,95,13.8,10,10059,62 -"Yes",1603,1392,504,31,68,2580,302,13312,4488,600,1516,78,78,11,23,9431,83 -"Yes",940,668,385,20,48,1316,139,11925,3825,630,1926,48,87,12.3,12,9157,69 -"Yes",943,849,288,41,71,1041,35,14210,3994,450,1100,76,76,10.9,22,11216,42 -"No",944,774,440,14,34,2174,529,6360,2760,550,1498,77,77,15,5,6443,48 -"No",19315,10344,3450,48,93,28938,2025,10645,4060,512,2394,77,96,18.1,19,8992,63 -"Yes",3821,2037,680,86,96,2488,625,18200,6770,500,700,95,98,11.6,13,16185,66 -"No",701,501,458,10,40,959,457,2580,2624,500,900,48,100,20.1,24,4870,44 -"Yes",838,651,159,11,25,654,162,8640,3700,400,1915,62,62,12.2,13,7634,48 -"Yes",1538,1259,468,19,42,1664,1042,11690,5062,600,1664,48,80,12.9,15,8028,68 -"Yes",692,576,174,19,50,597,83,10500,3860,600,940,58,64,11.6,19,8990,39 -"Yes",663,562,127,20,40,641,63,5640,3620,600,750,89,89,13.2,17,7309,31 -"Yes",404,400,169,28,48,797,100,6000,3000,500,500,48,57,13.4,14,5557,61 -"Yes",1133,630,220,37,73,750,30,17688,5900,650,850,100,100,10.4,11,14820,73 -"Yes",809,687,428,20,43,1889,217,10178,4190,800,750,71,71,16.1,19,7895,54 -"Yes",875,744,207,7,38,1173,1402,9700,4830,400,1200,45,90,14.5,10,7652,66 -"Yes",1132,847,302,58,89,1379,214,16200,4200,436,2486,90,90,10.4,14,14329,62 -"No",2405,2234,1061,10,22,4564,448,4290,3500,598,1582,55,93,19.4,1,5967,35 -"Yes",1082,832,302,34,63,1133,30,11859,3635,554,1429,80,85,13.4,42,8354,85 -"Yes",13218,2042,1153,90,98,4540,146,19900,5910,675,1575,91,96,8.4,54,28320,99 -"Yes",5139,3346,973,20,55,3717,1358,14400,6200,450,1100,66,74,18.4,35,8135,96 -"No",21804,18744,5874,29,60,26213,4065,9556,3990,570,1060,86,86,18.2,15,8604,67 -"Yes",516,392,154,32,62,630,549,11020,4970,610,1900,73,75,14,36,9315,58 -"Yes",1025,707,297,22,66,1070,72,10100,4140,450,1080,69,71,16.3,32,6880,80 -"Yes",3712,2153,806,17,45,2677,714,12030,6140,1000,500,63,73,12,33,8847,86 -"No",5702,4894,1742,15,37,8077,472,6684,4110,500,900,73,83,19.6,9,4519,62 -"No",2088,957,362,6,29,2745,1938,4449,4860,600,1655,74,95,17.8,8,7333,47 -"Yes",1771,1325,306,21,46,1071,27,13840,3735,400,900,77,80,10.7,38,11080,74 -"Yes",696,616,169,35,66,653,56,13970,6110,370,920,88,97,9.2,24,16358,68 -"Yes",1966,1436,327,47,80,1199,61,19960,5490,500,450,90,90,11.8,37,15886,68 -"Yes",427,385,143,18,38,581,533,12700,5800,450,700,81,85,10.3,37,11758,84 -"Yes",4996,4165,936,53,82,4291,16,17475,5976,1230,1100,94,98,15.4,21,15605,70 -"Yes",2302,1831,391,58,82,1345,59,15200,4768,550,1500,90,96,10.8,47,13388,77 -"Yes",3586,2424,730,16,31,2748,1309,13250,5420,700,3100,84,92,12.3,23,11299,70 -"Yes",587,501,211,28,52,735,28,15200,4100,350,650,87,90,9.4,49,12472,64 -"Yes",484,386,141,6,28,590,1196,9870,4860,600,1100,59,59,12.2,19,6744,81 -"Yes",2227,1790,437,27,54,1460,239,13425,4425,450,1200,85,89,13,26,9405,72 -"Yes",935,858,345,22,50,1127,754,9490,4100,500,1500,60,79,10.7,21,7519,79 -"Yes",560,392,270,11,31,743,118,8734,3362,600,625,56,78,11.3,27,6422,68 -"Yes",3304,2804,679,10,20,2111,1489,12520,6050,500,730,44,54,16.4,8,7957,61 -"Yes",1777,1151,382,31,55,1668,1052,16425,5220,955,750,81,85,13.3,23,11561,90 -"Yes",434,321,141,28,53,624,269,10950,4600,550,950,79,82,12.9,30,9264,81 -"No",3820,1431,695,21,70,5303,3942,4356,4830,800,800,76,81,22.1,6,7252,51 -"No",48094,26330,4520,36,79,21401,3712,7410,4748,690,2009,90,95,19.5,19,10474,77 -"No",3366,1752,232,27,79,2585,1300,7411,4748,690,2009,90,95,18.6,12,10134,57 -"No",5785,2690,499,26,62,4005,1886,7410,4748,690,2009,90,95,17.4,16,11878,58 -"Yes",2307,1896,509,19,51,1707,1889,11070,5780,400,600,71,73,14.8,16,7120,82 -"Yes",897,718,276,12,48,1345,390,10450,4020,500,1500,56,56,14.1,16,7444,70 -"Yes",2095,1553,514,15,40,1873,94,12950,5400,450,1120,70,82,14.5,29,6719,97 -"No",3971,3306,1921,10,34,11493,2206,4259,2625,350,1884,70,75,18.9,10,4629,58 -"Yes",213,166,85,13,36,513,247,8670,3820,450,1000,43,78,12.5,4,7440,48 -"Yes",1046,824,284,21,45,1223,451,10880,5050,400,1235,64,64,19.3,24,7344,69 -"Yes",933,800,444,18,45,1691,72,12247,4081,500,600,76,85,12,38,9853,70 -"Yes",920,684,225,24,42,815,222,11200,4250,600,950,55,60,14.8,19,7360,67 -"Yes",833,682,217,12,33,716,2196,9985,5180,500,800,53,89,27.2,8,4322,85 -"Yes",2519,2003,776,39,71,2473,1314,12750,6350,350,1690,84,90,17.4,13,8243,83 -"Yes",292,241,96,20,52,543,712,12200,4600,650,950,87,90,11.2,32,8680,76 -"Yes",3294,2855,956,44,67,4576,1140,11690,4730,800,6800,84,94,4.6,19,18367,67 -"Yes",888,734,393,26,60,1433,27,12730,4514,500,1525,74,95,9.9,31,11165,98 -"Yes",876,802,367,14,35,1263,118,10800,3600,400,820,68,74,18.8,19,5081,78 -"Yes",150,130,88,23,50,341,768,10300,4130,500,1700,44,58,10.2,37,9678,75 -"Yes",1910,1380,463,16,64,1715,106,13030,5860,500,750,79,88,14.5,34,10190,84 -"Yes",2248,1673,745,38,73,2888,105,14350,3750,550,550,82,88,10,31,12502,83 -"Yes",1606,1413,530,23,38,1921,1154,9408,5520,500,450,78,78,12.1,22,7669,53 -"Yes",700,595,278,19,35,1035,182,10850,3936,500,900,62,64,12.3,31,8534,88 -"Yes",785,647,295,15,65,1670,726,10860,4624,600,794,87,100,13.7,15,8953,55 -"Yes",489,384,120,23,52,700,45,10575,3952,400,620,46,24,13,9,8946,98 -"Yes",335,284,132,28,69,534,216,10475,6300,500,2000,68,68,11.2,46,9599,60 -"No",4216,2290,736,20,52,4296,1027,5130,4690,600,1450,73,75,17.9,18,5125,56 -"Yes",1680,1395,691,34,76,2959,402,8236,3700,569,1650,74,75,14.7,17,9533,61 -"No",9402,7020,2151,20,70,16407,5550,8384,5110,612,2400,87,93,19.5,7,7930,41 -"Yes",4019,2779,888,40,73,3891,128,13584,5928,630,1278,88,92,13.9,19,10872,100 -"Yes",1380,768,263,57,82,1000,105,19300,6694,600,700,89,93,6.1,18,14779,83 -"Yes",1109,688,386,20,65,1897,208,8325,5000,1200,1600,14,98,16.1,26,6874,55 -"Yes",584,413,131,19,51,521,99,8955,5900,500,1488,51,56,11.8,23,8545,52 -"Yes",855,632,139,60,83,569,7,17238,7350,600,800,95,100,8.2,41,18372,73 -"Yes",1183,1016,411,42,82,1922,704,12669,4875,600,1250,83,85,16.8,20,10368,66 -"Yes",2115,1540,494,28,72,2993,347,12825,4375,500,1500,85,85,12.2,16,10175,89 -"Yes",4576,3565,1000,16,36,4384,1530,12000,6484,650,1000,81,84,14.4,15,10080,64 -"Yes",936,794,197,24,56,752,210,11240,4180,350,2000,71,71,11.2,37,10065,71 -"No",5818,3281,1116,14,53,5268,300,7844,3504,450,1700,80,83,18.8,13,6719,72 -"Yes",540,445,165,23,70,1115,111,7210,3600,500,2000,62,65,13.2,18,7356,58 -"Yes",2961,1932,628,24,68,2669,616,10800,5100,575,1090,71,82,14.1,42,8189,100 -"Yes",464,419,183,10,31,686,287,9240,3880,475,1090,29,49,7.2,17,9431,47 -"Yes",1003,782,295,23,53,1144,160,16160,6950,500,1200,74,81,8.9,33,14086,79 -"Yes",1016,872,300,27,57,1116,602,11250,4980,550,1400,66,73,15.8,36,7411,70 -"Yes",437,400,211,13,35,614,271,8990,3064,500,1700,73,73,14.8,7,7881,48 -"Yes",4293,2728,591,25,62,2322,263,18710,5970,500,700,87,92,12.7,29,14837,81 -"Yes",2925,1598,632,51,88,2479,95,18820,6390,500,1050,85,97,10.3,44,21199,90 -"No",2807,2589,1701,13,37,7000,1103,3811,2190,500,1970,62,65,15,29,5084,67 -"No",2281,1870,1408,18,43,6553,1246,4680,3540,200,2150,75,76,17.1,8,5916,45 -"No",818,700,447,20,50,2962,651,3738,2619,450,1022,55,59,19.6,9,4444,53 -"Yes",385,340,193,18,38,784,127,9520,4124,630,1818,63,65,18.6,11,8219,43 -"No",2540,2195,994,13,40,6063,2550,5472,3598,221,2216,76,81,16.5,8,7498,43 -"Yes",4301,3455,1166,41,69,4892,387,12772,5078,576,1802,74,88,13.5,17,12726,72 -"Yes",1093,1093,642,12,32,1770,967,7070,2500,400,1000,52,54,15.9,13,4718,71 -"No",6118,5254,3204,15,37,13131,3374,4740,2590,500,1360,70,75,19.9,11,4632,56 -"No",1047,938,511,13,33,2091,546,4285,2750,600,1800,58,75,16.5,31,6591,51 -"Yes",321,318,172,11,27,620,280,7536,3736,430,1651,44,77,13,12,5309,36 -"Yes",213,155,75,28,66,504,147,7200,3532,550,1500,56,56,11.8,12,7818,52 -"Yes",1244,912,352,44,77,1177,43,11850,4675,600,1050,83,89,11.3,35,12995,67 -"Yes",283,201,97,10,45,589,263,8400,2800,600,900,50,56,10.6,40,6860,89 -"Yes",3713,1237,443,47,83,1971,107,7000,5565,660,2400,73,80,12.5,18,9988,65 -"Yes",372,362,181,15,32,1501,353,8600,3550,385,665,48,48,15.4,9,10938,49 -"Yes",1489,1313,375,13,45,1688,131,10456,4927,500,1050,91,91,17.7,32,9828,78 -"Yes",323,278,122,31,51,393,4,16150,5450,275,800,63,72,7.2,26,15622,64 -"Yes",1368,1064,354,19,51,1687,677,10570,5600,400,800,86,81,14.5,29,7908,66 -"Yes",2753,1820,505,31,56,1801,45,18720,5730,650,825,90,94,11.5,38,14980,85 -"Yes",191,165,63,5,25,494,574,11550,4270,300,500,43,77,14.5,8,9209,40 -"Yes",2643,1611,465,36,80,2615,248,13332,6354,630,1584,88,89,16.1,17,9619,78 -"No",1340,695,285,42,73,1315,209,6800,4730,675,1250,84,89,11.6,23,10357,63 -"Yes",1243,1020,414,33,60,2149,418,8678,3858,700,1736,82,83,16.2,7,7651,72 -"Yes",1334,1243,568,30,56,1946,95,12140,4450,425,1100,74,78,15.1,36,8595,88 -"Yes",651,581,243,8,17,617,34,5000,3650,600,600,45,45,14,8,8426,45 -"Yes",861,609,215,10,27,1117,815,8650,5700,500,1750,69,73,16.1,13,6534,67 -"Yes",450,405,194,17,34,614,388,13900,5200,450,2150,46,63,10.9,17,9995,59 -"Yes",1557,1227,489,37,69,1964,81,12315,4565,600,1365,85,90,12.5,24,10307,73 -"Yes",1768,1249,380,51,93,1263,11,16900,5680,450,750,89,89,19,33,12837,79 -"No",4019,1579,710,23,65,4365,765,3040,4351,711,1125,78,92,19.5,7,5599,64 -"Yes",3646,2300,585,25,69,2022,926,12170,6172,480,800,79,79,13,30,7495,97 -"No",13528,9198,1843,16,61,10168,1231,6550,4355,700,1560,93,96,17.4,16,9075,74 -"No",14463,6166,1757,60,94,8544,671,6550,4598,700,1000,83,100,18,15,8055,80 -"No",15039,9649,3087,36,100,13963,3124,6550,4731,708,957,90,97,13.6,15,11177,56 -"No",12512,6969,1724,27,66,9744,1351,6550,4712,600,1200,91,96,10.5,7,13705,57 -"No",7294,3564,904,7,34,5758,1363,6550,4460,500,705,79,83,19,14,6632,49 -"No",8000,4556,1464,17,70,6943,869,6550,4810,500,1500,69,85,22,21,5280,63 -"No",5318,3515,1025,8,29,7626,2091,6550,4040,550,1230,71,78,18.7,12,7511,42 -"No",7888,3519,1036,6,40,5011,346,6550,4680,630,1274,82,85,17.8,17,5563,53 -"No",4877,2798,814,13,48,4123,298,6550,4420,620,1481,82,90,16.3,10,6442,66 -"No",8598,4562,1143,56,93,5060,146,6550,4170,600,650,79,84,19.1,25,5716,76 -"No",8399,3609,656,19,53,4658,1478,6550,4240,550,1500,85,93,15.3,8,6608,53 -"No",5549,3583,853,9,40,5004,475,6550,4176,600,1380,80,90,17.9,16,6174,65 -"No",3150,2289,650,16,51,3598,234,6840,4660,500,1000,71,75,15.1,17,6436,59 -"No",2119,1264,390,5,33,2478,1441,6550,4760,1125,1362,80,100,14.9,8,8170,46 -"Yes",2096,1512,465,27,59,1442,166,16130,4710,400,800,83,86,13.9,37,10554,90 -"Yes",462,402,146,36,68,527,41,14500,6000,500,600,91,99,6.5,48,18953,61 -"Yes",10477,7260,2442,28,67,10142,117,15150,6870,635,960,73,84,11.3,13,14231,67 -"Yes",257,183,109,19,41,396,38,7850,3410,400,1500,55,70,10,15,7233,53 -"Yes",4414,1500,335,30,60,908,119,5666,2964,1000,1400,56,58,15.5,7,5970,46 -"Yes",1769,1092,437,41,80,1757,81,10965,4000,450,1250,60,61,14.2,32,8294,98 -"Yes",232,182,99,7,29,402,237,7070,3640,400,3158,59,65,8.9,16,6286,36 -"No",14474,10519,6392,49,85,31643,2798,5130,3412,600,2144,89,91,23.1,29,8471,69 -"No",529,481,243,22,47,1206,134,4860,3122,600,650,103,88,17.4,16,6415,43 -"Yes",4095,3079,1195,33,64,5064,660,8490,3320,650,2400,81,93,14.8,23,9158,64 -"Yes",497,423,215,27,57,895,429,7850,3410,490,1700,54,58,13.8,24,7002,50 -"No",4345,3245,2604,15,85,5584,3101,7860,3360,600,1700,65,75,18.2,21,3605,10 -"Yes",592,501,279,19,44,1204,392,6400,3484,600,1800,80,83,14.5,10,7936,43 -"No",1500,1242,611,12,36,2024,292,7070,2439,400,779,95,94,17.1,17,7744,84 -"Yes",1154,951,253,15,31,791,140,11172,4958,700,1350,68,76,11.6,16,9186,60 -"Yes",845,734,254,5,21,662,351,7600,3800,600,1200,59,74,19,40,5096,39 -"Yes",759,729,244,57,81,867,51,10900,4450,500,1000,81,91,12.1,41,10219,70 -"No",5042,2312,944,55,94,5167,902,5391,5411,700,1000,81,87,14.4,6,8504,81 -"Yes",1262,1102,276,14,40,978,98,9456,4350,468,1323,53,53,12.8,24,7603,65 -"Yes",3058,1798,478,46,84,1737,244,18810,5690,500,680,91,96,10.4,48,18034,91 -"Yes",247,189,100,19,49,309,639,11412,6430,500,900,89,93,8.3,37,11806,96 -"Yes",222,185,91,16,41,484,541,11010,5208,550,500,58,78,10.4,26,9586,78 -"Yes",2425,1818,601,62,93,2110,95,12240,5150,500,490,94,96,9.6,20,14703,93 -"Yes",7033,5125,1223,47,75,4941,1534,19040,5950,350,800,98,98,9.1,21,16920,74 -"Yes",626,372,145,12,34,983,40,7700,3400,450,800,70,70,21.9,28,4933,52 -"Yes",2267,1827,611,20,59,2825,144,6735,3395,600,1425,70,74,12.2,7,10872,65 -"Yes",484,384,177,9,45,634,78,7800,2950,500,600,60,88,14.1,9,6864,64 -"Yes",3495,1712,528,49,84,1915,123,18732,6204,450,1024,94,96,11.5,49,15411,88 -"No",4800,2900,1515,14,48,7764,1472,6874,2394,518,1890,73,78,19.2,14,5901,56 -"No",1797,1260,938,24,35,6960,4698,4440,5175,750,2200,96,96,6.7,16,16352,33 -"No",3235,3108,2133,25,65,9978,1530,5028,3300,500,2000,73,89,14.8,10,6820,39 -"No",19873,8252,3215,95,100,19532,2061,11648,6246,636,1933,93,97,15.8,10,13919,78 -"No",15698,10775,2478,85,100,12677,864,12024,5302,790,1818,96,96,16.1,11,15934,66 -"No",6986,2959,1918,25,60,12330,7152,6618,4234,700,1600,80,98,22.2,9,6742,46 -"Yes",682,535,204,22,43,771,611,9500,3540,400,750,26,58,2.5,10,7683,57 -"Yes",6348,2999,922,68,94,3340,39,18930,6380,500,1254,99,99,5.3,36,36854,90 -"No",6855,5553,2408,26,57,11036,2011,8907,4697,556,1851,89,95,10.8,6,13889,54 -"No",9735,7187,2064,23,63,12478,1660,11656,5072,700,2300,89,95,16,16,10178,71 -"Yes",681,588,246,44,74,1058,73,10760,6230,500,1200,85,93,13.4,26,8731,63 -"Yes",6361,5293,1507,26,51,5889,665,11380,4220,500,900,81,85,14.8,25,8894,93 -"Yes",14446,10516,3252,22,57,14130,4522,10220,4230,530,1300,82,87,18.3,15,10650,75 -"Yes",2974,2001,580,29,60,2666,554,15192,4695,400,1350,84,91,15.9,21,11762,67 -"Yes",927,731,415,24,50,2149,2217,11130,3996,600,2166,72,79,13.5,14,10891,51 -"Yes",576,558,137,11,39,662,131,10430,3620,400,1500,85,98,16.5,18,8767,45 -"Yes",2096,1626,694,35,67,2551,407,11800,4340,700,960,60,81,15.8,26,7780,77 -"No",12445,8836,3623,54,85,24470,3286,7090,4180,630,1530,88,97,13.4,20,14737,66 -"No",11220,7871,3320,43,79,19553,2748,5697,3600,525,1755,88,95,14.7,22,7881,63 -"Yes",5081,4040,1194,11,26,3768,1415,14220,6000,500,1440,61,76,10.7,9,10625,66 -"No",3580,2603,1627,36,69,11028,2411,4460,3038,687,1281,85,87,11.8,6,12833,54 -"No",14939,11652,5705,52,88,25422,911,7560,4574,500,1982,87,90,17.4,13,8559,81 -"No",8384,5727,2710,22,50,13518,2916,7230,5088,630,3228,82,84,10,6,13883,34 -"Yes",1487,1276,388,26,51,1417,1646,11120,4080,525,1405,55,56,11.1,23,6735,69 -"No",8579,5561,3681,25,50,17880,1673,6994,3384,700,2681,88,94,13.7,17,9657,57 -"Yes",1597,969,226,16,38,1431,1522,13540,5050,630,2298,66,68,14.1,23,10139,47 -"No",4777,3057,1823,16,33,9844,6198,6540,3600,530,2440,84,92,11.1,24,10207,31 -"No",1208,803,438,20,48,1906,344,6810,3970,450,1647,67,75,15.9,26,5712,59 -"No",441,369,172,17,45,633,317,6600,3680,600,400,46,46,15.1,4,5935,64 -"No",461,381,235,10,40,974,503,6600,3630,400,1675,67,67,15.2,11,6408,35 -"No",4269,2594,985,27,57,6476,2592,8594,4408,494,2768,82,88,18.4,6,7618,55 -"No",14292,10315,3409,22,53,19340,3991,8723,5146,550,1550,89,92,18.1,12,9021,63 -"No",14438,12414,3816,12,39,16282,1940,8566,3897,500,1400,88,92,16.7,15,10276,68 -"No",3347,2597,1006,10,37,4664,1630,6919,4500,500,1250,74,90,15,20,7462,56 -"Yes",7122,5386,1643,42,69,7760,876,16500,6526,630,1985,82,94,5.9,17,17500,59 -"No",19152,12940,4893,66,92,22045,1339,15732,4659,476,1600,90,98,11.5,26,14847,87 -"No",4192,3126,1656,15,45,5887,1254,8828,3474,753,2610,79,91,19,11,6393,53 -"No",1458,874,588,56,86,1846,154,9843,3180,600,1500,74,78,14.6,16,6716,51 -"No",11054,6397,3524,26,55,16502,21836,8949,3744,714,2910,88,90,12.2,37,16122,45 -"No",3844,3383,1669,26,47,7524,804,4916,3810,600,550,81,86,20.3,14,6971,53 -"No",6574,4637,2940,32,62,14782,1583,9057,3485,600,1983,87,87,12.7,15,10145,58 -"No",1877,1826,823,49,77,3926,561,9057,3600,700,1435,88,88,14.4,23,9699,49 -"No",1618,1141,479,18,54,4793,4552,7246,3964,500,4288,71,73,13.4,15,6433,48 -"Yes",452,331,269,17,54,1417,301,6150,3680,550,1200,59,63,16.6,4,5412,52 -"No",1351,892,570,18,78,2385,331,4440,3030,300,600,72,72,18.9,8,5883,51 -"No",6277,6003,3526,33,63,16454,3171,5595,3145,500,2070,86,92,15.1,48,6813,53 -"Yes",1209,750,265,19,54,820,159,11450,5045,900,2500,72,75,11.4,13,9718,64 -"No",9750,7640,2529,24,62,10358,1338,11180,3862,650,2450,89,87,17.5,16,7855,75 -"No",1757,979,394,32,74,2033,1078,5972,3420,600,750,77,83,13,11,7011,37 -"No",14596,5985,3331,75,92,14609,1100,8400,4200,550,1200,88,93,8.9,23,15893,83 -"No",5803,4441,1730,19,62,10099,3255,7248,3109,600,1900,79,91,16.8,7,6227,62 -"No",5191,4134,1500,15,44,7532,1847,8677,3505,600,1300,75,94,15.5,17,7392,53 -"No",6071,3856,1449,15,67,6635,1145,7558,3680,500,1500,82,85,19.1,15,6005,55 -"No",2777,2249,1652,20,54,8334,1435,5634,2703,450,1200,97,97,15.9,16,9424,49 -"No",1800,1253,560,44,85,3876,3588,6634,4360,600,2604,82,85,17.8,14,6104,47 -"No",4418,2737,2049,23,51,14047,5134,4104,3579,450,1700,86,94,22.6,6,5657,35 -"No",5530,4007,1697,12,37,8463,1498,7731,4128,540,2286,75,75,21.5,8,6309,40 -"No",4144,3379,1853,18,52,10135,1448,6197,2930,595,2380,78,82,16.3,26,6333,77 -"Yes",7700,3700,1906,79,96,7671,30,16850,4400,600,1350,96,92,13.1,46,13936,97 -"No",4743,3970,2233,32,63,13436,2582,5173,3526,765,3176,86,90,11.5,11,10244,44 -"No",8631,6732,2546,25,61,11669,1605,10602,3660,570,1530,79,87,19.7,13,8020,54 -"Yes",12394,5232,2464,85,100,9205,531,17020,7270,500,1544,95,96,6.3,38,25765,93 -"No",8586,6383,2503,25,59,13138,4289,10786,4560,400,900,93,93,7.8,10,13789,66 -"Yes",1758,1485,419,27,58,2041,174,12040,4100,600,1100,92,96,13.2,17,9060,72 -"Yes",4044,2826,688,51,83,2738,138,16230,4500,630,1800,79,86,15,17,11217,63 -"No",9643,7751,1968,12,40,8894,2456,10330,5558,500,1250,84,89,16.6,7,9158,63 -"Yes",5892,2718,756,46,72,2854,594,14500,3285,700,1125,75,89,11.7,32,11984,100 -"Yes",8766,5498,1243,56,75,5071,438,17840,6582,500,882,93,99,5.9,23,26037,80 -"Yes",3934,2735,886,40,70,3698,217,13600,5940,630,1820,93,96,15.6,13,10813,66 -"Yes",2306,1721,538,23,48,4309,549,13226,6452,750,2450,86,86,13.6,8,10074,62 -"No",285,280,208,21,43,1140,473,3687,1920,600,1800,67,77,23.6,3,3864,43 -"Yes",4471,2942,910,29,60,3674,493,11584,5986,650,800,83,83,14.1,41,9131,92 -"No",848,560,377,14,24,1855,1412,5800,3066,500,1500,62,62,14.8,3,5035,48 -"No",7693,5815,2328,30,66,12594,3661,8074,3522,495,2941,84,88,16.9,18,8246,63 -"No",7589,4676,1876,29,63,14770,10962,6760,3776,500,2180,84,89,17,7,11020,47 -"Yes",12229,8498,2477,45,71,13259,1429,17230,6482,600,2210,90,94,11.4,10,17007,68 -"No",1401,1239,605,10,34,3716,675,7100,4380,540,2948,63,88,19.4,0,5389,36 -"No",2379,2133,1292,8,25,4283,2973,4973,3192,500,1425,56,65,22,21,4078,38 -"No",2850,2044,1046,20,50,9260,1387,4652,2470,500,500,78,99,18.7,23,5917,45 -"Yes",2057,1807,828,26,53,4106,982,11712,4037,500,800,80,80,13.8,13,8546,89 -"Yes",374,280,185,45,77,995,408,8550,4050,500,1344,75,75,12.6,17,7237,62 -"No",7473,5372,3013,27,53,15749,3237,5764,3262,750,3300,86,92,16.5,22,8612,53 -"No",3281,2559,1448,19,43,10975,8431,4422,2780,500,2850,73,73,21,4,4696,29 -"No",14752,9572,5329,48,85,30017,5189,5130,3309,650,3140,91,99,19.7,11,7837,65 -"No",4217,3100,1686,17,46,9375,5457,4104,5376,452,1200,94,100,25.3,3,4329,50 -"Yes",974,704,290,5,22,1145,39,12520,3860,1300,700,16,59,7.5,9,11641,57 -"Yes",2459,1997,582,36,66,2664,299,16320,5326,646,1171,87,94,11.2,14,13706,65 -"Yes",1445,966,326,46,83,1129,24,15350,4080,450,810,89,93,10.3,52,18784,82 -"Yes",1712,1557,696,41,68,2936,433,11750,4160,1200,2350,94,96,11.5,10,11743,47 -"No",5095,4491,2400,27,53,13894,8374,6857,3975,858,3093,89,93,12.8,9,9275,37 -"No",7663,6008,1735,18,51,7353,1674,15516,4928,500,990,87,90,9.9,10,12646,79 -"No",15849,5384,2678,74,95,11278,114,12212,3792,500,1000,90,92,9.5,22,13597,95 -"No",12749,7025,3343,40,81,20356,4582,8199,4218,708,2172,96,94,9,10,16527,65 -"No",1558,1254,472,20,57,3754,2477,6172,3994,541,1387,83,87,23.4,12,8488,53 -"No",2593,1966,1030,9,32,6038,579,6704,2592,376,1750,78,78,21,17,6254,65 -"No",910,910,342,14,53,1434,417,7032,2780,550,1960,75,81,15.2,15,6490,36 -"No",4400,3719,1472,12,38,7804,1552,6950,2500,300,1200,90,95,23.1,16,5559,67 -"No",2409,1939,759,17,50,3819,1347,6900,2800,475,1200,81,89,22.2,1,5968,46 -"No",14901,10932,4631,36,80,23945,2200,9096,4290,535,1545,93,96,11.5,20,11006,72 -"No",5244,3782,1930,12,37,11561,7443,8786,2964,570,1980,79,87,15.9,8,8094,38 -"No",2029,1516,1073,23,46,7535,1488,5988,3422,600,1500,91,94,15.1,13,8745,45 -"Yes",663,452,192,10,35,1481,1160,8840,3060,500,1000,69,75,17.4,19,3733,78 -"Yes",1399,1026,308,44,77,1131,17,14900,5160,500,800,82,85,11.6,40,12082,79 -"Yes",325,260,86,21,47,699,717,9600,4202,450,750,39,69,10.5,15,7164,68 -"No",368,344,212,5,27,863,189,4286,2570,600,2000,39,41,14.9,25,4958,40 -"Yes",2075,1727,520,49,81,2501,198,11800,3260,500,800,87,89,14.2,23,9681,95 -"Yes",7791,4690,1499,71,92,5500,90,17865,6525,630,952,93,98,5.8,26,23850,83 -"Yes",3550,1877,653,53,87,2164,77,18920,5950,600,800,90,98,9.7,39,17089,90 -"Yes",7759,5588,1477,30,68,6362,1292,15925,6507,400,300,89,90,13.4,24,10458,96 -"No",4963,3497,1567,18,45,10262,5065,10217,4182,500,3630,81,87,8.7,11,11183,45 -"No",2996,2440,704,2,30,3006,338,5587,4845,500,600,61,63,16,11,5733,31 -"No",15712,11719,4277,29,53,18511,604,10260,3176,740,2200,85,89,13.8,20,8944,73 -"Yes",1847,1610,453,19,59,1298,67,7384,3494,500,1763,51,67,13.7,8,6757,30 -"Yes",1470,900,287,20,49,1130,417,10900,5100,500,550,70,81,15.7,14,7804,68 -"Yes",647,518,271,17,43,1014,387,9140,3365,500,2245,51,65,10.7,31,8050,73 -"Yes",1465,1006,188,10,30,703,20,4450,2522,500,1200,43,43,22.9,3,5861,58 -"Yes",800,623,256,41,76,801,5,12925,4195,500,635,78,85,9.9,55,14904,72 -"Yes",1416,1015,417,10,44,1324,117,13500,5800,585,1700,67,78,13.2,23,9006,75 -"Yes",5661,2392,903,75,88,3499,172,13850,4360,500,1250,95,97,4.3,37,41766,89 -"Yes",1092,890,477,27,92,847,497,8670,4180,500,1450,42,58,11.3,33,5738,68 -"Yes",440,311,112,25,49,466,7,10000,3052,400,1100,65,75,11.4,20,9430,63 -"Yes",1231,1074,345,34,66,1295,105,11600,3610,400,850,66,91,12.4,37,7735,67 -"Yes",1305,1100,334,42,64,1098,151,16260,4005,300,500,91,91,12.1,40,10162,86 -"Yes",3315,1096,425,68,93,1584,3,13750,4619,680,1115,81,96,9.6,45,15736,90 -"Yes",1209,942,214,31,60,822,46,15276,5318,500,300,79,86,11.2,37,10830,65 -"No",6540,5839,2440,31,70,14445,1344,8200,4210,800,2719,84,87,16.9,30,10912,56 -"Yes",7654,5259,1254,62,93,4879,1274,18350,5775,768,1512,91,98,3.9,31,45702,90 -"No",1373,1373,724,6,21,2754,474,2700,2660,540,1660,60,68,20.3,29,4550,52 -"Yes",1190,978,324,12,30,1280,61,8840,3620,500,1200,57,58,16.2,26,6563,63 -"Yes",280,143,79,5,27,327,110,5590,2900,650,1952,53,63,15.1,4,4839,90 -"Yes",665,462,226,17,44,1739,1550,9160,4340,500,500,68,68,20.6,14,6951,48 -"Yes",2895,1249,579,80,96,2195,156,18345,5995,500,700,94,98,10.6,51,21409,91 -"Yes",318,240,130,40,85,416,19,14900,5550,600,500,93,98,8.3,42,13935,69 -"Yes",1480,1257,452,6,25,2961,572,9850,6050,850,920,10,68,15.4,8,17858,64 -"Yes",980,807,350,10,25,872,448,9890,4674,500,1350,52,57,14.4,15,6243,84 -"Yes",4772,1973,712,60,86,2714,27,19130,5600,1400,1400,90,94,12.1,39,16262,92 -"No",6502,3539,1372,11,51,7484,1904,7844,4108,400,2000,76,79,15.3,16,6773,52 -"No",1164,1062,478,12,25,2138,227,4470,2890,600,1210,33,33,16.3,10,4249,60 -"Yes",1566,1400,483,28,55,1509,170,14200,3775,450,1100,58,81,16.4,42,8080,67 -"No",3224,2519,1057,11,31,5000,706,6390,2380,110,1622,67,78,14.6,9,6554,55 -"Yes",1205,984,278,31,50,1071,98,14510,5340,500,1400,84,91,12.5,39,10026,60 -"No",9167,7191,2738,24,53,15739,4278,6940,4100,500,1700,80,84,24.7,11,5983,55 -"Yes",1650,1471,409,7,21,1803,1116,8994,5500,498,2065,74,97,15.4,15,8409,59 -"No",2702,1623,604,7,24,2315,146,5918,3755,500,2050,76,79,19.4,4,4599,52 -"No",5548,3563,1549,30,71,8909,506,8124,4144,639,2385,83,89,22.7,10,7203,61 -"No",3100,2150,825,3,20,3234,941,5542,3788,500,1300,75,79,15.7,20,4222,65 -"Yes",662,553,184,20,43,665,37,10720,4050,600,1650,66,70,12.5,20,7925,62 -"Yes",996,866,377,29,58,1411,72,12065,3615,430,685,62,78,12.5,41,8596,80 -"Yes",917,720,213,21,60,979,743,8820,4050,600,2025,68,83,10.5,34,7170,50 -"No",950,713,351,42,72,1276,9,14320,5304,490,1410,77,77,14.9,17,8837,87 -"Yes",1432,920,548,56,84,2200,56,11480,4200,530,1400,81,83,12.7,40,11916,85 -"Yes",1738,1373,417,21,55,1335,30,18460,5970,700,850,92,96,13.2,41,22704,71 -"Yes",903,755,213,15,49,971,305,10500,4545,600,600,66,71,14.1,27,7494,72 -"Yes",1861,998,359,45,77,1220,46,16670,4900,750,800,80,83,10.5,51,13198,72 -"Yes",1681,1069,344,35,63,1235,30,16249,5699,500,1998,84,92,13.6,29,11778,52 -"Yes",1121,926,372,43,70,1270,160,12660,4500,678,2424,80,80,16.9,20,8328,80 -"Yes",2139,1492,502,24,64,2186,2171,12350,5370,500,1350,88,86,12.6,19,9603,63 -"Yes",1631,1431,434,15,36,1803,603,11150,5130,550,1260,78,92,13.3,24,8543,67 -"Yes",1658,1327,395,49,80,1595,159,14800,4620,400,790,91,94,13.3,37,10779,68 -"Yes",663,547,315,32,67,1279,75,10060,2970,500,2600,74,80,11.2,19,7885,59 -"Yes",469,435,227,17,39,851,120,10535,4365,550,3700,39,66,12.9,16,7438,52 -"Yes",4186,1245,526,81,96,1988,29,19629,5790,500,1200,94,99,9,64,22014,99 -"Yes",167,130,46,16,50,199,676,11428,5084,450,475,67,76,8.3,43,10291,67 -"Yes",1239,1017,383,10,34,1207,157,7820,3400,550,1550,69,81,13.9,8,7264,91 -"No",3325,2047,1301,20,45,5800,872,4200,2700,300,1200,53,60,20.2,18,5318,58 -"No",2320,1805,769,24,61,3395,670,6400,3392,580,2150,71,80,12.8,26,6729,59 -"Yes",152,128,75,17,41,282,22,9100,3700,500,1400,48,48,8.5,26,8960,50 -"Yes",1979,1739,575,42,68,1980,144,15948,4404,400,800,82,95,12.8,29,10414,78 -"Yes",1501,935,273,51,83,1059,34,12680,4150,605,1440,91,92,15.3,42,7875,75 -"Yes",2768,2314,682,49,86,2802,86,15884,5370,530,730,92,94,15.2,34,10774,82 -"No",2197,1515,543,4,26,3089,2029,6797,3900,500,1200,60,60,21,14,4469,40 -"Yes",1959,1805,695,24,47,2849,1107,11520,4960,600,1250,73,75,13.3,31,9189,83 -"Yes",2097,1915,695,34,61,2793,166,6900,4200,617,781,67,75,14.4,20,8323,49 -"Yes",10705,2453,1317,95,99,5217,83,19840,6510,630,2115,96,96,5.8,49,40386,99 -"Yes",2989,1855,691,28,63,2988,1726,4990,3560,500,1250,75,75,18.1,28,4509,99 +"","Private","Apps","Accept","Enroll","Top10perc","Top25perc","F.Undergrad","P.Undergrad","Outstate","Room.Board","Books","Personal","PhD","Terminal","S.F.Ratio","perc.alumni","Expend","Grad.Rate" +"Abilene Christian University","Yes",1660,1232,721,23,52,2885,537,7440,3300,450,2200,70,78,18.1,12,7041,60 +"Adelphi University","Yes",2186,1924,512,16,29,2683,1227,12280,6450,750,1500,29,30,12.2,16,10527,56 +"Adrian College","Yes",1428,1097,336,22,50,1036,99,11250,3750,400,1165,53,66,12.9,30,8735,54 +"Agnes Scott College","Yes",417,349,137,60,89,510,63,12960,5450,450,875,92,97,7.7,37,19016,59 +"Alaska Pacific University","Yes",193,146,55,16,44,249,869,7560,4120,800,1500,76,72,11.9,2,10922,15 +"Albertson College","Yes",587,479,158,38,62,678,41,13500,3335,500,675,67,73,9.4,11,9727,55 +"Albertus Magnus College","Yes",353,340,103,17,45,416,230,13290,5720,500,1500,90,93,11.5,26,8861,63 +"Albion College","Yes",1899,1720,489,37,68,1594,32,13868,4826,450,850,89,100,13.7,37,11487,73 +"Albright College","Yes",1038,839,227,30,63,973,306,15595,4400,300,500,79,84,11.3,23,11644,80 +"Alderson-Broaddus College","Yes",582,498,172,21,44,799,78,10468,3380,660,1800,40,41,11.5,15,8991,52 +"Alfred University","Yes",1732,1425,472,37,75,1830,110,16548,5406,500,600,82,88,11.3,31,10932,73 +"Allegheny College","Yes",2652,1900,484,44,77,1707,44,17080,4440,400,600,73,91,9.9,41,11711,76 +"Allentown Coll. of St. Francis de Sales","Yes",1179,780,290,38,64,1130,638,9690,4785,600,1000,60,84,13.3,21,7940,74 +"Alma College","Yes",1267,1080,385,44,73,1306,28,12572,4552,400,400,79,87,15.3,32,9305,68 +"Alverno College","Yes",494,313,157,23,46,1317,1235,8352,3640,650,2449,36,69,11.1,26,8127,55 +"American International College","Yes",1420,1093,220,9,22,1018,287,8700,4780,450,1400,78,84,14.7,19,7355,69 +"Amherst College","Yes",4302,992,418,83,96,1593,5,19760,5300,660,1598,93,98,8.4,63,21424,100 +"Anderson University","Yes",1216,908,423,19,40,1819,281,10100,3520,550,1100,48,61,12.1,14,7994,59 +"Andrews University","Yes",1130,704,322,14,23,1586,326,9996,3090,900,1320,62,66,11.5,18,10908,46 +"Angelo State University","No",3540,2001,1016,24,54,4190,1512,5130,3592,500,2000,60,62,23.1,5,4010,34 +"Antioch University","Yes",713,661,252,25,44,712,23,15476,3336,400,1100,69,82,11.3,35,42926,48 +"Appalachian State University","No",7313,4664,1910,20,63,9940,1035,6806,2540,96,2000,83,96,18.3,14,5854,70 +"Aquinas College","Yes",619,516,219,20,51,1251,767,11208,4124,350,1615,55,65,12.7,25,6584,65 +"Arizona State University Main campus","No",12809,10308,3761,24,49,22593,7585,7434,4850,700,2100,88,93,18.9,5,4602,48 +"Arkansas College (Lyon College)","Yes",708,334,166,46,74,530,182,8644,3922,500,800,79,88,12.6,24,14579,54 +"Arkansas Tech University","No",1734,1729,951,12,52,3602,939,3460,2650,450,1000,57,60,19.6,5,4739,48 +"Assumption College","Yes",2135,1700,491,23,59,1708,689,12000,5920,500,500,93,93,13.8,30,7100,88 +"Auburn University-Main Campus","No",7548,6791,3070,25,57,16262,1716,6300,3933,600,1908,85,91,16.7,18,6642,69 +"Augsburg College","Yes",662,513,257,12,30,2074,726,11902,4372,540,950,65,65,12.8,31,7836,58 +"Augustana College IL","Yes",1879,1658,497,36,69,1950,38,13353,4173,540,821,78,83,12.7,40,9220,71 +"Augustana College","Yes",761,725,306,21,58,1337,300,10990,3244,600,1021,66,70,10.4,30,6871,69 +"Austin College","Yes",948,798,295,42,74,1120,15,11280,4342,400,1150,81,95,13,33,11361,71 +"Averett College","Yes",627,556,172,16,40,777,538,9925,4135,750,1350,59,67,22.4,11,6523,48 +"Baker University","Yes",602,483,206,21,47,958,466,8620,4100,400,2250,58,68,11,21,6136,65 +"Baldwin-Wallace College","Yes",1690,1366,662,30,61,2718,1460,10995,4410,1000,1000,68,74,17.6,20,8086,85 +"Barat College","Yes",261,192,111,15,36,453,266,9690,4300,500,500,57,77,9.7,35,9337,71 +"Bard College","Yes",1910,838,285,50,85,1004,15,19264,6206,750,750,98,98,10.4,30,13894,79 +"Barnard College","Yes",2496,1402,531,53,95,2121,69,17926,8124,600,850,83,93,10.3,33,12580,91 +"Barry University","Yes",990,784,279,18,45,1811,3144,11290,5360,600,1800,76,78,12.6,11,9084,72 +"Baylor University","Yes",6075,5349,2367,34,66,9919,484,6450,3920,600,1346,71,76,18.5,38,7503,72 +"Beaver College","Yes",1163,850,348,23,56,878,519,12850,5400,400,800,78,89,12.2,30,8954,73 +"Bellarmine College","Yes",807,707,308,39,63,1198,605,8840,2950,750,1290,74,82,13.1,31,6668,84 +"Belmont Abbey College","Yes",632,494,129,17,36,709,131,9000,4850,300,2480,78,85,13.2,10,7550,52 +"Belmont University","Yes",1220,974,481,28,67,1964,623,7800,3664,650,900,61,61,11.1,19,7614,49 +"Beloit College","Yes",1320,923,284,26,54,1085,81,16304,3616,355,715,87,95,11.1,26,12957,69 +"Bemidji State University","No",1208,877,546,12,36,3796,824,4425,2700,660,1800,57,62,19.6,16,3752,46 +"Benedictine College","Yes",632,620,222,14,24,702,501,9550,3850,350,250,64,84,14.1,18,5922,58 +"Bennington College","Yes",519,327,114,25,53,457,2,21700,4100,600,500,35,59,10.1,33,16364,55 +"Bentley College","Yes",3466,2330,640,20,60,3095,1533,13800,5510,630,850,87,87,17.5,20,10941,82 +"Berry College","Yes",1858,1221,480,37,68,1620,49,8050,3940,350,2375,80,80,16.3,17,10511,63 +"Bethany College","Yes",878,816,200,16,41,706,62,8740,3363,550,1700,62,68,11.6,29,7718,48 +"Bethel College KS","Yes",202,184,122,19,42,537,101,8540,3580,500,1400,61,80,8.8,32,8324,56 +"Bethel College","Yes",502,384,104,11,28,347,74,6200,2900,600,800,63,63,11.7,13,7623,35 +"Bethune Cookman College","Yes",1646,1150,542,12,30,2128,82,5188,3396,650,2500,48,48,13.8,9,6817,58 +"Birmingham-Southern College","Yes",805,588,287,67,88,1376,207,11660,4325,400,900,74,79,14,34,8649,72 +"Blackburn College","Yes",500,336,156,25,55,421,27,6500,2700,500,1000,76,76,14.3,53,8377,51 +"Bloomsburg Univ. of Pennsylvania","No",6773,3028,1025,15,55,5847,946,7844,2948,500,1680,66,68,18,19,7041,75 +"Bluefield College","Yes",377,358,181,15,30,653,129,7150,4350,450,1500,61,67,17.8,3,6259,53 +"Bluffton College","Yes",692,514,209,20,50,760,81,9900,3990,400,900,76,71,13.3,19,9073,58 +"Boston University","Yes",20192,13007,3810,45,80,14971,3113,18420,6810,475,1025,80,81,11.9,16,16836,72 +"Bowdoin College","Yes",3356,1019,418,76,100,1490,8,19030,5885,1495,875,93,96,11.2,52,20447,96 +"Bowling Green State University","No",9251,7333,3076,14,45,13699,1213,7452,3352,600,1700,81,89,21.1,14,6918,67 +"Bradford College","Yes",443,330,151,5,36,453,42,14080,6270,500,900,57,80,10.2,21,15387,46 +"Bradley University","Yes",3767,3414,1061,30,58,4531,643,10870,4440,2000,1522,75,81,14.4,21,7671,85 +"Brandeis University","Yes",4186,2743,740,48,77,2819,62,19380,6750,410,1000,90,97,9.8,24,17150,84 +"Brenau University","Yes",367,274,158,12,41,917,479,9592,5879,500,700,71,80,13.7,12,5935,49 +"Brewton-Parker College","Yes",1436,1228,1202,10,26,1320,822,4371,2370,500,2000,62,62,12.6,10,4900,18 +"Briar Cliff College","Yes",392,351,155,16,44,738,430,10260,3597,600,1500,39,66,13.1,26,8355,58 +"Bridgewater College","Yes",838,673,292,22,53,881,55,10265,4725,560,875,68,73,13.2,24,8655,82 +"Brigham Young University at Provo","Yes",7365,5402,4615,48,82,27378,1253,2340,3580,860,1220,76,76,20.5,40,7916,33 +"Brown University","Yes",12586,3239,1462,87,95,5643,349,19528,5926,720,1100,99,100,7.6,39,20440,97 +"Bryn Mawr College","Yes",1465,810,313,71,95,1088,16,18165,6750,500,1200,100,100,12.3,49,17449,89 +"Bucknell University","Yes",6548,3813,862,49,85,3316,31,18550,4750,800,1200,95,97,14.2,36,13675,93 +"Buena Vista College","Yes",860,688,285,32,70,1928,442,13306,3797,450,950,62,69,8.8,10,6333,78 +"Butler University","Yes",2362,2037,700,40,68,2607,148,13130,4650,500,1600,77,81,10.9,29,9511,83 +"Cabrini College","Yes",599,494,224,8,28,1035,446,10518,6250,300,300,59,76,16.5,36,7117,71 +"Caldwell College","Yes",1011,604,213,17,42,693,868,8900,4600,425,1000,87,96,13.9,25,7922,55 +"California Lutheran University","Yes",563,247,247,23,52,1427,432,12950,5300,612,576,72,74,12.4,17,8985,60 +"California Polytechnic-San Luis","No",7811,3817,1650,47,73,12911,1404,7380,4877,612,2091,72,81,19.8,13,8453,59 +"California State University at Fresno","No",4540,3294,1483,5,60,13494,1254,7706,4368,600,1926,90,90,21.2,8,7268,61 +"Calvin College","Yes",1784,1512,913,29,56,3401,136,10230,3710,400,1210,75,81,14.8,41,7786,81 +"Campbell University","Yes",2087,1339,657,20,54,3191,1204,7550,2790,600,500,77,77,21.8,34,3739,63 +"Campbellsville College","Yes",848,587,298,25,55,935,184,6060,3070,600,1300,62,66,17.7,13,5391,49 +"Canisius College","Yes",2853,2193,753,16,34,2978,434,10750,5340,400,1130,90,92,14.6,26,7972,64 +"Capital University","Yes",1747,1382,449,34,66,1662,960,13050,4000,500,800,64,69,12.1,27,9557,83 +"Capitol College","Yes",100,90,35,10,52,282,331,8400,2812,300,2134,10,50,12.1,24,7976,52 +"Carleton College","Yes",2694,1579,489,75,93,1870,12,19292,3957,550,550,81,93,10.4,60,17960,91 +"Carnegie Mellon University","Yes",8728,5201,1191,60,89,4265,291,17900,5690,450,1250,86,93,9.2,31,24386,74 +"Carroll College","Yes",1160,991,352,19,55,1357,737,12200,3880,480,930,74,81,17.8,25,7666,79 +"Carson-Newman College","Yes",1096,951,464,27,62,1776,239,8150,3150,400,500,61,62,13.6,16,6716,67 +"Carthage College","Yes",1616,1427,434,20,43,1405,580,13125,3775,500,1300,74,89,15.9,22,7364,62 +"Case Western Reserve University","Yes",3877,3156,713,71,93,3051,513,15700,4730,525,1460,95,95,2.9,29,19733,67 +"Castleton State College","No",1257,940,363,9,22,1547,294,7656,4690,400,700,89,91,14.7,8,6318,79 +"Catawba College","Yes",1083,880,291,13,34,915,80,9270,4100,600,1860,75,82,13.5,27,8425,55 +"Catholic University of America","Yes",1754,1465,505,24,49,2159,211,13712,6408,526,1100,90,96,9.3,18,12751,75 +"Cazenovia College","Yes",3847,3433,527,9,35,1010,12,9384,4840,600,500,22,47,14.3,20,7697,118 +"Cedar Crest College","Yes",776,607,198,25,58,791,764,14340,5285,500,1000,58,83,11.7,39,10961,74 +"Cedarville College","Yes",1307,1090,616,25,55,2196,82,7344,4410,570,1000,50,52,15.3,34,6897,64 +"Centenary College","Yes",369,312,90,12,46,396,526,11400,5400,500,760,41,85,9.5,20,9583,24 +"Centenary College of Louisiana","Yes",495,434,210,35,55,775,44,8950,3490,600,1900,86,92,11.3,25,9685,66 +"Center for Creative Studies","Yes",601,396,203,1,20,525,323,11230,6643,2340,620,8,58,6.8,4,13025,47 +"Central College","Yes",1283,1113,401,31,65,1355,40,10938,3660,650,600,76,90,13.5,29,8444,67 +"Central Connecticut State University","No",4158,2532,902,6,24,6394,3881,5962,4444,500,985,69,73,16.7,4,4900,49 +"Central Missouri State University","No",4681,4101,1436,10,35,8094,1596,4620,3288,300,2250,69,80,19.7,4,5501,50 +"Central Washington University","No",2785,2011,1007,8,65,6507,898,7242,3603,654,1416,67,89,18.1,0,6413,51 +"Central Wesleyan College","Yes",174,146,88,8,29,1047,33,8300,3080,600,600,62,62,15.2,18,3365,58 +"Centre College","Yes",1013,888,288,55,82,943,7,11850,4270,600,900,95,99,11.4,60,13118,74 +"Chapman University","Yes",959,771,351,23,48,1662,209,16624,5895,600,1100,72,80,12.8,6,12692,47 +"Chatham College","Yes",212,197,91,28,56,471,148,13500,5230,400,850,95,98,9.3,37,16095,52 +"Chestnut Hill College","Yes",342,254,126,25,64,518,232,10335,5015,700,850,71,71,8.3,29,7729,73 +"Christendom College","Yes",81,72,51,33,71,139,3,8730,3600,400,800,92,92,9.3,17,10922,58 +"Christian Brothers University","Yes",880,520,224,16,42,1068,364,9300,3260,600,900,81,81,11.1,24,8129,63 +"Christopher Newport University","No",883,766,428,3,37,2910,1749,7860,4750,525,1889,80,82,21.2,16,4639,48 +"Claflin College","Yes",1196,697,499,21,47,959,13,4412,2460,500,1000,69,69,16.9,31,7083,21 +"Claremont McKenna College","Yes",1860,767,227,71,93,887,1,17000,6010,500,850,99,99,9.6,52,18443,87 +"Clark University","Yes",2887,2059,457,30,61,1928,296,17500,4200,500,950,94,95,10.5,35,11951,79 +"Clarke College","Yes",460,340,167,14,45,604,350,10740,3676,350,900,67,71,11,27,7963,74 +"Clarkson University","Yes",2174,1953,557,35,68,2332,53,15960,5580,700,1300,95,95,15.8,32,11659,77 +"Clemson University","No",8065,5257,2301,37,65,11755,770,8116,3610,800,1618,82,88,18,17,7597,73 +"Clinch Valley Coll. of the Univ. of Virginia","No",689,561,250,15,30,1125,422,7168,3689,600,1900,67,67,18.1,9,4417,46 +"Coe College","Yes",1006,742,275,29,60,1127,205,13925,4390,500,2200,73,86,12.7,32,10141,67 +"Coker College","Yes",604,452,295,15,47,690,222,9888,4502,400,1000,64,77,12.1,39,8741,75 +"Colby College","Yes",2848,1319,456,58,84,1720,35,18930,5590,500,1000,83,94,10.2,41,15954,91 +"Colgate University","Yes",4856,2492,727,46,75,2649,25,19510,5565,500,750,95,98,10.5,45,15494,93 +"College Misericordia","Yes",1432,888,317,29,58,1121,493,10860,5760,550,900,56,62,12.9,23,8604,96 +"College of Charleston","No",4772,3140,1265,22,55,6851,1200,6120,3460,666,2316,73,78,17.2,18,4776,51 +"College of Mount St. Joseph","Yes",798,620,238,14,41,1165,1232,9800,4430,400,1150,46,46,11.1,35,6889,100 +"College of Mount St. Vincent","Yes",946,648,177,23,46,707,432,11790,5770,500,1000,75,77,11.9,35,10015,83 +"College of Notre Dame","Yes",344,264,97,11,42,500,331,12600,5520,630,2250,77,80,10.4,7,9773,43 +"College of Notre Dame of Maryland","Yes",457,356,177,35,61,667,1983,11180,5620,600,700,64,64,11.5,32,7477,75 +"College of Saint Benedict","Yes",938,864,511,29,62,1715,103,12247,4221,500,600,70,88,13.1,26,8847,72 +"College of Saint Catherine","Yes",511,411,186,23,51,1692,562,12224,4440,450,1000,63,87,11.5,32,7315,77 +"College of Saint Elizabeth","Yes",444,359,122,34,53,493,968,10900,5250,380,1000,68,70,11.4,23,9447,78 +"College of Saint Rose","Yes",983,664,249,23,57,1698,894,9990,5666,800,1500,66,71,14.3,28,6084,64 +"College of Santa Fe","Yes",546,447,189,16,42,873,683,11138,4138,600,1200,40,74,14,7,8820,80 +"College of St. Joseph","Yes",141,118,55,12,21,201,173,8300,4850,450,1300,53,53,9.5,19,6936,76 +"College of St. Scholastica","Yes",672,596,278,29,60,1350,275,11844,3696,450,1146,54,76,11.6,33,8996,72 +"College of the Holy Cross","Yes",2994,1691,659,70,95,2675,22,18000,6300,400,900,92,96,11.3,55,12138,95 +"College of William and Mary","No",7117,3106,1217,68,88,5186,134,11720,4298,600,800,89,92,12.1,31,9534,93 +"College of Wooster","Yes",2100,1883,553,29,65,1704,1,16240,4690,500,500,84,96,11.1,43,14140,69 +"Colorado College","Yes",3207,1577,490,56,87,1892,7,17142,4190,450,1200,85,97,11.3,51,14664,84 +"Colorado State University","No",9478,6312,2194,29,65,15646,1829,8412,4180,470,1800,87,89,19.2,10,7850,59 +"Columbia College MO","Yes",314,158,132,10,28,690,5346,8294,3700,400,900,87,87,15.3,2,5015,37 +"Columbia College","Yes",737,614,242,21,67,968,237,10425,3975,500,1500,61,77,14.7,34,8693,76 +"Columbia University","Yes",6756,1930,871,78,96,3376,55,18624,6664,550,300,97,98,5.9,21,30639,99 +"Concordia College at St. Paul","Yes",281,266,139,13,29,1049,181,10500,3750,450,950,69,75,12.8,18,6955,45 +"Concordia Lutheran College","Yes",232,216,106,16,34,534,172,6900,3800,450,1825,67,76,12.1,9,6875,42 +"Concordia University CA","Yes",688,497,144,30,75,641,101,10800,4440,570,1515,55,60,13.1,13,8415,55 +"Concordia University","Yes",528,403,186,22,56,1168,145,9216,4191,400,1000,56,64,12.1,13,7309,75 +"Connecticut College","Yes",3035,1546,438,42,93,1630,232,18740,6300,600,500,86,95,10.7,40,14773,91 +"Converse College","Yes",440,407,149,35,70,643,80,12050,3700,500,900,63,76,10.2,31,10965,75 +"Cornell College","Yes",1538,1329,383,33,68,1140,10,15248,4323,550,800,71,76,12.2,31,10340,64 +"Creighton University","Yes",2967,2836,876,30,60,3450,644,10628,4372,650,2055,85,90,6.5,32,22906,85 +"Culver-Stockton College","Yes",1576,1110,274,24,55,992,112,8000,3700,400,500,51,52,14.1,28,5807,51 +"Cumberland College","Yes",995,789,398,26,47,1306,122,6230,3526,400,600,42,44,13,4,8189,63 +"D'Youville College","Yes",866,619,157,18,47,1074,336,8920,4310,680,1320,68,68,14.6,42,6898,46 +"Dana College","Yes",504,482,185,10,36,550,84,9130,3322,450,1450,46,51,12.6,25,8686,54 +"Daniel Webster College","Yes",585,508,153,12,30,460,536,12292,4934,500,500,61,61,22.2,10,8643,72 +"Dartmouth College","Yes",8587,2273,1087,87,99,3918,32,19545,6070,550,1100,95,99,4.7,49,29619,98 +"Davidson College","Yes",2373,956,452,77,96,1601,6,17295,5070,600,1011,95,97,12,46,17581,94 +"Defiance College","Yes",571,461,174,10,26,645,283,10850,3670,400,1159,58,60,12.8,19,7505,56 +"Delta State University","No",967,945,459,15,48,2806,538,4528,1880,500,1200,49,63,17.1,16,5113,58 +"Denison University","Yes",2762,2279,533,32,60,1835,14,16900,4720,500,600,88,97,11.6,45,12423,81 +"DePauw University","Yes",1994,1656,495,50,80,1983,36,14300,5020,550,950,78,94,11.1,31,11525,82 +"Dickinson College","Yes",3014,2539,487,31,68,1889,62,18700,5000,595,1250,87,94,11.2,39,13861,87 +"Dickinson State University","No",434,412,319,10,30,1376,237,4486,2146,600,2000,50,64,16.5,28,4525,46 +"Dillard University","Yes",1998,1376,651,41,88,1539,45,6700,3650,500,2307,52,52,14.1,12,7566,61 +"Doane College","Yes",793,709,244,20,47,1022,411,9570,3000,400,1000,67,72,15.1,42,6852,60 +"Dominican College of Blauvelt","Yes",360,329,108,4,19,756,863,8310,5500,600,1800,43,43,12.7,5,5480,54 +"Dordt College","Yes",604,562,328,25,50,1048,56,9800,2650,450,2800,61,60,12.5,17,7325,87 +"Dowling College","Yes",1011,829,410,9,33,1059,2458,9000,3100,450,1413,77,78,12.4,7,11178,42 +"Drake University","Yes",2799,2573,839,34,65,3322,726,13420,4770,560,1675,88,93,15,24,9473,77 +"Drew University","Yes",2153,1580,321,56,84,1192,87,18432,5616,520,660,93,97,10.2,28,14907,83 +"Drury College","Yes",700,650,314,33,66,1065,48,8730,3523,500,750,82,92,13.2,35,9303,67 +"Duke University","Yes",13789,3893,1583,90,98,6188,53,18590,5950,625,1162,95,96,5,44,27206,97 +"Earlham College","Yes",1358,1006,274,35,63,1028,13,15036,4056,600,600,90,94,10.6,46,14634,78 +"East Carolina University","No",9274,6362,2435,14,44,13171,1687,7248,3240,500,1700,74,78,13.2,18,9002,58 +"East Tennessee State University","No",3330,2730,1303,15,36,6706,2640,5800,3000,600,2200,73,75,14,9,9825,42 +"East Texas Baptist University","Yes",379,341,265,10,36,1050,151,4950,2780,530,1500,62,62,15.7,7,5619,38 +"Eastern College","Yes",458,369,165,16,42,1057,355,11190,4800,450,1230,60,60,13.6,22,8135,54 +"Eastern Connecticut State University","No",2172,1493,564,14,50,2766,1531,5962,4316,650,500,71,76,16.9,14,5719,50 +"Eastern Illinois University","No",5597,4253,1565,12,38,9161,845,5710,3066,120,1730,62,71,16.2,5,5682,76 +"Eastern Mennonite College","Yes",486,440,227,19,48,903,59,9650,3800,600,1300,46,65,11.4,29,10188,82 +"Eastern Nazarene College","Yes",516,409,200,17,40,1238,30,8770,3500,450,700,58,58,17.3,17,6430,70 +"Eckerd College","Yes",1422,1109,366,33,65,1363,23,15360,4080,600,1000,82,89,12.8,26,15003,59 +"Elizabethtown College","Yes",2417,1843,426,36,70,1476,299,14190,4400,500,750,65,68,12.8,25,9815,81 +"Elmira College","Yes",1457,1045,345,27,50,1109,502,14990,4980,450,550,77,98,21.5,21,7502,64 +"Elms College","Yes",245,208,125,23,46,544,436,11800,4765,450,1700,71,71,11.3,21,8952,86 +"Elon College","Yes",3624,2786,858,11,39,2933,334,9100,3883,490,1777,70,74,18.9,34,6329,63 +"Embry Riddle Aeronautical University","Yes",3151,2584,958,14,40,4772,856,7800,3750,570,3020,37,43,16.5,4,12878,44 +"Emory & Henry College","Yes",765,646,226,30,60,809,32,8578,4408,700,1600,79,88,13.9,51,8061,82 +"Emory University","Yes",8506,4168,1236,76,97,5544,192,17600,6000,600,870,97,98,5,28,28457,96 +"Emporia State University","No",1256,1256,853,43,79,3957,588,5401,3144,450,1888,72,75,19.3,4,5527,50 +"Erskine College","Yes",659,557,167,47,74,532,35,10485,3840,475,1246,76,80,13.5,47,7527,67 +"Eureka College","Yes",560,454,113,36,56,484,16,10955,3450,330,670,62,87,10.6,31,9552,53 +"Evergreen State College","No",1801,1101,438,14,50,3065,363,6297,4600,600,1323,75,78,18.1,14,8355,68 +"Fairfield University","Yes",4784,3346,781,30,66,2984,1037,15000,6200,700,1100,86,90,15.1,30,11220,94 +"Fayetteville State University","No",1455,1064,452,1,16,2632,617,6806,2550,350,766,75,75,15.1,10,6972,24 +"Ferrum College","Yes",1339,1107,336,12,36,1051,82,9400,4200,500,1600,53,58,12.5,9,7967,22 +"Flagler College","Yes",1415,714,338,18,52,1345,44,5120,3200,500,2140,52,60,18.1,9,3930,69 +"Florida Institute of Technology","Yes",1947,1580,523,39,74,1863,233,13900,4140,750,1500,90,90,10.6,7,8923,57 +"Florida International University","No",3306,2079,1071,42,89,10208,9310,6597,2494,800,3028,81,96,13.9,20,6722,66 +"Florida Southern College","Yes",1381,1040,374,20,44,1506,970,8025,4865,400,650,65,74,17.4,10,6339,68 +"Florida State University","No",11651,8683,3023,50,90,18906,3242,6680,4060,600,1020,80,89,23.1,15,7250,58 +"Fontbonne College","Yes",291,245,126,16,49,981,337,8390,4100,350,1500,45,55,21.5,24,4607,62 +"Fordham University","Yes",4200,2874,942,30,55,4740,1646,14235,6965,600,1735,86,97,14.4,14,10864,80 +"Fort Lewis College","No",3440,2823,1123,16,35,3793,486,6198,3320,500,2500,89,97,19.1,6,4362,46 +"Francis Marion University","No",1801,1655,819,13,38,3224,436,5840,3138,400,2430,76,76,19.1,8,5039,43 +"Franciscan University of Steubenville","Yes",553,452,228,22,49,1301,242,9650,4400,600,1000,57,69,14.9,8,6336,83 +"Franklin College","Yes",804,632,281,29,72,840,68,10390,4040,525,1345,54,78,12.5,37,11751,60 +"Franklin Pierce College","Yes",5187,4471,446,3,14,1818,1197,13320,4630,500,800,50,56,17.6,16,6418,51 +"Freed-Hardeman University","Yes",895,548,314,20,54,1174,50,5500,3340,600,1600,68,76,16.1,13,6078,62 +"Fresno Pacific College","Yes",346,274,146,51,87,704,63,9900,3670,630,1818,59,59,10.5,14,8095,54 +"Furman University","Yes",2161,1951,685,56,82,2371,175,13440,4048,600,1250,92,95,13.5,28,12940,82 +"Gannon University","Yes",2464,1908,678,24,57,2693,691,10970,4280,500,1380,47,51,13.3,18,7711,65 +"Gardner Webb University","Yes",1110,930,332,18,36,1603,374,8180,4270,500,500,65,58,15.2,12,5664,29 +"Geneva College","Yes",668,534,237,19,39,1306,258,9476,4820,500,1100,67,67,20.1,26,6786,74 +"George Fox College","Yes",809,726,294,27,52,1271,43,12500,4130,400,1050,53,53,13.5,22,7136,52 +"George Mason University","No",5653,4326,1727,17,29,9528,3822,10800,4840,580,1050,93,96,19.3,7,6751,46 +"George Washington University","Yes",7875,5062,1492,38,71,5471,1470,17450,6328,700,950,92,93,7.6,15,14745,72 +"Georgetown College","Yes",727,693,286,30,55,1063,48,8100,3950,550,550,73,76,13.3,28,7508,55 +"Georgetown University","Yes",11115,2881,1390,71,93,5881,406,18300,7131,670,1700,91,92,7.2,27,19635,95 +"Georgia Institute of Technology","No",7837,4527,2276,89,99,8528,654,6489,4438,795,1164,92,92,19.3,33,11271,70 +"Georgia State University","No",3793,2341,1238,9,24,7732,9054,6744,2655,720,3450,87,89,19,10,7762,34 +"Georgian Court College","Yes",348,281,127,12,52,1095,785,9150,3950,500,800,56,59,12.2,27,7348,76 +"Gettysburg College","Yes",3596,2466,575,42,78,1944,46,19964,4328,500,500,94,95,12.1,32,14720,83 +"Goldey Beacom College","Yes",633,468,284,10,27,823,963,6120,2985,531,1830,25,25,27.6,4,6081,36 +"Gonzaga University","Yes",1886,1524,526,31,67,2523,296,13000,4450,600,2400,78,90,14.7,32,9553,69 +"Gordon College","Yes",674,565,282,25,54,1151,39,12200,4070,400,1200,73,82,14.2,32,9226,66 +"Goshen College","Yes",440,396,221,26,51,910,166,9420,3730,600,1230,51,56,9.9,46,10270,72 +"Goucher College","Yes",1151,813,248,40,64,850,80,15588,6174,500,1200,78,90,9.2,34,16623,77 +"Grace College and Seminary","Yes",548,428,167,18,46,618,113,8958,3670,300,1000,53,59,15.3,26,9798,64 +"Graceland College","Yes",555,414,242,14,41,996,2281,9100,3100,550,880,51,61,23.6,24,5609,47 +"Grand Valley State University","No",5165,3887,1561,20,60,8234,2619,6108,3800,500,1000,64,66,20.6,9,5063,57 +"Green Mountain College","Yes",780,628,198,7,20,545,42,11750,2700,400,850,77,83,14,24,6475,76 +"Greensboro College","Yes",608,494,176,10,31,649,314,8330,3770,550,1300,64,80,13,31,7949,39 +"Greenville College","Yes",510,387,194,20,46,771,53,10310,4530,400,800,57,61,14.3,16,8222,60 +"Grinnell College","Yes",2039,1389,432,56,91,1333,30,15688,4618,400,400,88,92,9.5,54,18979,83 +"Grove City College","Yes",2491,1110,573,57,88,2213,35,5224,3048,525,350,65,65,18.4,18,4957,100 +"Guilford College","Yes",1202,1054,326,18,44,1410,299,13404,5160,450,1050,78,86,15.6,30,9114,65 +"Gustavus Adolphus College","Yes",1709,1385,634,36,72,2281,50,14125,3600,400,700,79,89,12.5,58,9907,80 +"Gwynedd Mercy College","Yes",380,237,104,30,56,716,1108,11000,5550,500,500,36,41,7.8,22,7483,96 +"Hamilton College","Yes",3140,1783,454,40,82,1646,24,19700,5050,300,800,91,96,9.6,60,17761,91 +"Hamline University","Yes",1006,825,328,34,73,1362,102,13252,4194,450,550,89,93,13,33,10296,65 +"Hampden - Sydney College","Yes",817,644,307,20,40,945,1,13218,4773,660,600,95,97,13.3,53,12263,69 +"Hampton University","Yes",7178,3755,1433,25,63,4623,740,7161,3518,600,2000,60,64,14,9,6791,70 +"Hanover College","Yes",1006,837,317,33,65,1024,15,8200,3485,500,1200,84,84,10.6,26,9248,64 +"Hardin-Simmons University","Yes",467,424,350,16,40,1365,334,6300,2980,700,2140,75,79,13.7,10,7054,38 +"Harding University","Yes",1721,1068,806,35,75,3128,213,5504,3528,700,910,71,77,17.7,37,6466,73 +"Hartwick College","Yes",2083,1725,430,22,49,1464,67,17480,4780,500,700,75,87,12.3,32,11625,73 +"Harvard University","Yes",13865,2165,1606,90,100,6862,320,18485,6410,500,1920,97,97,9.9,52,37219,100 +"Harvey Mudd College","Yes",1377,572,178,95,100,654,5,17230,6690,700,900,100,100,8.2,46,21569,100 +"Hastings College","Yes",817,708,262,22,52,935,37,9376,3272,500,1902,57,63,13,17,7335,52 +"Hendrix College","Yes",823,721,274,52,87,954,6,8800,3195,500,1200,82,99,13.1,26,8588,63 +"Hillsdale College","Yes",920,745,347,35,66,1133,42,11090,4700,400,750,80,80,12,31,12639,79 +"Hiram College","Yes",922,729,244,37,66,1000,275,14067,4560,400,1000,75,95,10.6,34,12165,79 +"Hobart and William Smith Colleges","Yes",2688,2081,500,25,53,1792,5,19029,5841,600,600,99,99,12.1,37,13040,79 +"Hofstra University","Yes",7428,5860,1349,25,63,6534,1350,11600,5920,1000,1000,81,90,13.9,10,10093,60 +"Hollins College","Yes",602,498,215,26,58,795,74,13470,5515,500,850,78,91,11.1,48,13957,72 +"Hood College","Yes",699,565,176,36,64,710,399,13960,6040,450,690,82,88,14.4,34,12434,72 +"Hope College","Yes",1712,1483,624,37,69,2505,208,12275,4341,465,1100,72,81,12.5,40,9284,72 +"Houghton College","Yes",949,786,302,30,70,1210,26,9990,3550,500,1500,85,90,15,24,8187,67 +"Huntingdon College","Yes",608,520,127,26,47,538,126,8080,3920,500,1100,63,72,11.4,9,7703,44 +"Huntington College","Yes",450,430,125,20,46,488,43,9950,3920,300,1300,76,76,11.8,25,9466,47 +"Huron University","Yes",600,197,124,3,9,392,69,7260,3090,600,1840,31,35,12.9,4,9249,21 +"Husson College","Yes",723,652,361,10,30,951,706,7800,4000,350,1500,36,44,22,4,4923,84 +"Illinois Benedictine College","Yes",607,558,269,22,47,1222,519,10500,4348,650,1500,81,91,11.6,29,8324,75 +"Illinois College","Yes",894,787,262,28,63,909,28,8050,3850,600,1000,75,75,15.6,30,7348,52 +"Illinois Institute of Technology","Yes",1756,1360,478,42,77,1911,626,14550,4620,500,700,80,88,12.3,26,12851,56 +"Illinois State University","No",8681,6695,2408,10,35,15701,1823,7799,3403,537,2605,77,84,21,16,5569,54 +"Illinois Wesleyan University","Yes",3050,1342,471,55,86,1818,23,14360,4090,400,650,77,92,12.9,34,9605,83 +"Immaculata College","Yes",268,253,103,16,44,494,1305,10000,5364,500,1000,56,64,11.2,33,7305,69 +"Incarnate Word College","Yes",1163,927,386,16,49,1685,556,8840,4689,750,2775,67,69,11.4,21,6095,95 +"Indiana State University","No",5659,4761,3147,10,31,8596,1949,6892,3706,600,2500,72,76,16.6,8,6996,40 +"Indiana University at Bloomington","No",16587,13243,5873,25,72,24763,2717,9766,3990,600,2000,77,88,21.3,24,8686,68 +"Indiana Wesleyan University","Yes",735,423,366,20,48,2448,707,9210,3782,700,1000,49,51,39.8,15,6562,34 +"Iona College","Yes",4892,3530,913,13,33,3906,1446,10690,6790,570,1150,66,83,16,14,8107,66 +"Iowa State University","No",8427,7424,3441,26,59,18676,1715,7550,3224,640,2055,81,88,19.2,22,8420,65 +"Ithaca College","Yes",7259,5526,1368,23,52,5612,166,14424,6192,634,1000,58,79,11.5,25,9812,75 +"James Madison University","No",11223,5285,2082,32,72,9652,742,7994,4544,500,732,77,81,17.9,29,5212,98 +"Jamestown College","Yes",472,410,262,14,41,9950,71,7620,3050,400,400,51,53,17,21,3186,54 +"Jersey City State College","No",2957,1423,691,10,30,3817,1394,3946,4800,400,1500,63,67,14.9,10,8367,26 +"John Brown University","Yes",605,405,284,24,53,961,99,6398,3672,400,1350,68,68,13.3,19,8118,75 +"John Carroll University","Yes",2421,2109,820,27,57,3168,392,11700,5550,600,450,89,90,14.5,28,7738,89 +"Johns Hopkins University","Yes",8474,3446,911,75,94,3566,1569,18800,6740,500,1040,96,97,3.3,38,56233,90 +"Johnson State College","No",833,669,279,3,13,1224,345,7656,4690,500,624,80,91,14.4,15,6564,36 +"Judson College","Yes",313,228,137,10,30,552,67,9414,4554,500,1700,34,55,10.6,30,7840,56 +"Juniata College","Yes",1005,859,298,36,55,1075,43,14850,4460,450,420,97,97,12.7,37,12067,80 +"Kansas State University","No",5880,4075,2833,25,55,14914,2246,6995,3120,600,2000,76,86,18.5,22,6122,54 +"Kansas Wesleyan University","Yes",589,575,148,16,40,474,258,8400,3250,500,1400,63,55,12.4,14,6535,68 +"Keene State College","No",3121,2446,822,5,19,3480,776,7870,4157,500,1150,73,73,16.1,13,6195,61 +"Kentucky Wesleyan College","Yes",584,497,175,20,49,662,121,8000,4150,500,1300,57,65,11.3,32,7058,62 +"Kenyon College","Yes",2212,1538,408,44,75,1445,1,19240,3690,750,480,95,95,11.1,46,14067,88 +"Keuka College","Yes",461,381,174,10,43,738,55,9600,4550,600,750,55,94,13.3,43,7863,51 +"King's College","Yes",1456,1053,381,20,45,500,541,10910,5160,400,1795,66,72,15.6,37,7649,87 +"King College","Yes",355,300,142,34,65,509,44,8664,3350,600,3000,65,68,10.7,25,8954,65 +"Knox College","Yes",1040,845,286,48,77,967,24,15747,4062,400,800,88,95,12.7,33,13224,79 +"La Roche College","Yes",361,321,185,10,41,650,819,8842,4782,600,1100,57,73,14.2,14,7022,52 +"La Salle University","Yes",2929,1834,622,20,56,2738,1662,12600,5610,450,3160,90,90,15.1,9,9084,84 +"Lafayette College","Yes",4010,2402,572,36,59,2018,226,18730,5740,600,1000,93,96,10.5,38,15365,92 +"LaGrange College","Yes",544,399,177,15,35,600,363,6987,3585,750,1500,77,83,12.5,12,9067,75 +"Lake Forest College","Yes",979,638,271,31,70,968,20,16880,3970,920,1320,91,94,10.7,19,15687,77 +"Lakeland College","Yes",497,452,231,24,47,887,1957,9400,4005,500,1000,49,65,17.2,25,4054,57 +"Lamar University","No",2336,1725,1043,10,27,5438,4058,4752,3040,508,1463,48,82,18.4,12,5879,26 +"Lambuth University","Yes",831,538,224,15,35,840,325,5170,3430,600,1590,61,61,16.1,10,5531,60 +"Lander University","No",1166,1009,510,9,33,2074,341,4938,2987,528,1702,67,77,17,11,6119,51 +"Lawrence University","Yes",1243,947,324,50,77,1129,74,17163,3891,525,975,76,92,10.1,57,13965,77 +"Le Moyne College","Yes",1470,1199,425,21,76,1820,558,11040,4840,400,900,89,92,13.3,28,8118,94 +"Lebanon Valley College","Yes",1386,1060,320,28,56,965,502,13850,4755,400,1125,84,84,12.3,30,8196,85 +"Lehigh University","Yes",6397,4304,1092,40,84,4298,132,18700,5580,750,1130,96,99,12.5,43,14665,91 +"Lenoir-Rhyne College","Yes",979,743,259,25,46,1188,166,10100,4000,400,1000,88,92,12,20,8539,66 +"Lesley College","Yes",244,198,82,12,33,1134,336,11700,5300,550,805,71,88,27.8,18,8694,58 +"LeTourneau University","Yes",477,417,204,29,54,1532,77,8840,4240,600,1400,58,70,20.8,23,6863,56 +"Lewis and Clark College","Yes",2774,2092,482,35,64,1763,59,15800,4790,450,950,97,98,12.3,21,12999,69 +"Lewis University","Yes",1154,1050,395,12,31,2192,1423,10560,4520,500,1200,36,48,14.3,10,7701,61 +"Lincoln Memorial University","Yes",787,562,363,21,55,925,605,5950,2890,600,1300,67,72,14.6,35,5177,53 +"Lincoln University","No",1660,1091,326,15,41,1196,33,4818,3400,350,1400,71,72,12.6,8,10912,45 +"Lindenwood College","Yes",810,484,356,6,33,2155,191,9200,4800,1000,4200,65,85,24.1,9,3480,100 +"Linfield College","Yes",1561,1188,458,48,72,1548,840,13380,4210,500,900,89,91,17.8,34,8747,81 +"Livingstone College","Yes",900,473,217,22,47,621,11,4400,3400,800,900,53,93,10.4,16,9268,92 +"Lock Haven University of Pennsylvania","No",3570,2215,651,17,41,3390,325,7352,3620,225,500,47,55,16.1,14,6374,63 +"Longwood College","No",2747,1870,724,12,47,2874,118,7920,3962,550,2200,74,80,18.4,23,5553,62 +"Loras College","Yes",1641,1283,527,20,39,1663,170,11200,4000,500,1200,61,62,14.2,24,7578,70 +"Louisiana College","Yes",2013,1053,212,33,61,912,158,5150,3036,500,1655,64,74,10.5,11,7547,59 +"Louisiana State University at Baton Rouge","No",5996,4993,3079,29,57,16269,3757,5925,2980,600,2242,83,87,15.9,11,6741,37 +"Louisiana Tech University","No",2397,2144,1525,22,45,6720,1822,3957,2325,618,1656,66,77,20,13,4546,45 +"Loyola College","Yes",4076,3137,738,25,54,3010,184,12990,6300,600,900,86,88,14.7,27,9448,80 +"Loyola Marymount University","Yes",3768,2662,753,42,64,3558,436,13592,5916,545,1328,84,88,14.2,10,11677,84 +"Loyola University","Yes",1891,1698,719,24,80,2740,761,11100,5870,600,750,77,88,11.7,14,9456,53 +"Loyola University Chicago","Yes",3579,2959,868,25,55,5244,3417,11500,5330,700,2000,94,95,6.2,15,13009,65 +"Luther College","Yes",1549,1392,587,38,72,2269,85,13240,3560,600,400,73,85,13.8,38,8949,77 +"Lycoming College","Yes",1286,1005,363,16,37,1363,74,13900,4300,500,900,75,81,14,32,8024,72 +"Lynchburg College","Yes",1756,1500,366,3,21,1524,280,12450,5400,450,870,62,66,12.4,24,8832,70 +"Lyndon State College","No",535,502,223,6,20,959,150,7320,4640,500,600,48,65,12.6,15,7114,51 +"Macalester College","Yes",2939,1496,452,56,86,1723,113,15909,4772,500,700,85,91,11.9,37,14213,77 +"MacMurray College","Yes",740,558,177,12,29,628,63,9620,3750,550,950,49,55,10.8,33,10642,59 +"Malone College","Yes",874,758,428,21,46,1605,246,9858,3700,450,1200,42,45,17.6,16,4796,55 +"Manchester College","Yes",1004,802,239,23,63,909,51,10440,3850,525,1450,63,72,11.8,20,7940,64 +"Manhattan College","Yes",2432,1730,563,20,63,2578,254,12370,6800,500,1800,92,92,13.6,25,10062,79 +"Manhattanville College","Yes",962,750,212,21,54,830,150,14700,6550,450,400,97,97,11.3,24,11291,70 +"Mankato State University","No",3073,2672,1547,9,29,9649,1792,4300,2643,450,1660,57,68,19,11,5801,68 +"Marian College of Fond du Lac","Yes",824,670,337,15,41,1160,653,9400,3400,500,1100,37,37,8.4,21,5352,59 +"Marietta College","Yes",1611,960,342,27,60,1089,210,13850,3920,470,810,80,97,13.2,30,10223,96 +"Marist College","Yes",4731,3171,830,12,31,3557,658,10700,5925,550,1200,74,81,17.6,34,8408,69 +"Marquette University","Yes",5152,4600,1685,36,71,7016,804,11610,4760,600,1950,86,94,13.5,25,9982,77 +"Marshall University","Yes",4226,3666,2007,14,60,7703,2339,5094,4010,700,1560,77,86,16.6,10,6203,50 +"Mary Baldwin College","Yes",499,441,199,26,52,846,377,11200,7400,600,1300,66,79,6.8,50,10819,90 +"Mary Washington College","No",4350,2178,756,39,78,2997,736,6490,4942,650,2102,75,80,17.6,30,5358,84 +"Marymount College Tarrytown","Yes",478,327,117,9,34,731,370,11510,6450,575,1075,71,93,10.3,30,10502,77 +"Marymount Manhattan College","Yes",695,535,239,21,30,988,785,10200,7000,350,1100,63,76,11.7,20,10622,68 +"Marymount University","Yes",941,772,214,10,30,1247,776,11390,5280,500,750,77,82,10.6,17,8575,55 +"Maryville College","Yes",1464,888,176,26,52,624,128,11200,4208,500,1642,80,90,11.1,43,8317,51 +"Maryville University","Yes",549,397,169,26,51,1343,1751,9250,4550,425,1350,52,58,13.1,13,5925,61 +"Marywood College","Yes",1107,859,323,13,51,1452,402,11040,4500,600,700,65,76,11.8,30,9034,66 +"Massachusetts Institute of Technology","Yes",6411,2140,1078,96,99,4481,28,20100,5975,725,1600,99,99,10.1,35,33541,94 +"Mayville State University","No",233,233,153,5,12,658,58,4486,2516,600,1900,68,68,15.7,11,6971,51 +"McKendree College","Yes",1002,555,119,16,43,836,684,7680,3740,500,800,70,74,17.7,21,6652,52 +"McMurry University","Yes",578,411,187,25,50,880,477,6930,3452,400,1525,57,64,11,11,6383,32 +"McPherson College","Yes",420,293,93,11,32,336,80,7950,3750,600,2740,54,54,9.8,45,9754,48 +"Mercer University","Yes",2286,1668,564,37,70,2943,1260,11985,4081,400,1500,93,95,9.2,15,8995,91 +"Mercyhurst College","Yes",1557,1074,397,15,40,1805,433,9813,4050,425,1000,45,63,16.7,29,7307,78 +"Meredith College","Yes",857,772,376,25,58,1721,470,6720,3250,450,1520,77,82,13.9,33,6881,82 +"Merrimack College","Yes",1981,1541,514,18,36,1927,1084,12500,6200,375,1000,73,75,16.8,22,8707,80 +"Mesa State College","No",1584,1456,891,6,18,3471,911,5016,3798,540,2256,48,48,28.8,12,3871,59 +"Messiah College","Yes",1742,1382,607,30,64,2258,53,10300,5080,475,1200,68,75,14.1,30,7762,89 +"Miami University at Oxford","No",9239,7788,3290,35,39,13606,807,8856,3960,500,1382,81,89,17.6,20,7846,85 +"Michigan State University","No",18114,15096,6180,23,57,26640,4120,10658,3734,504,600,93,95,14,9,10520,71 +"Michigan Technological University","No",2618,2288,1032,42,77,5524,414,8127,3978,900,1200,82,82,17,25,7473,65 +"MidAmerica Nazarene College","Yes",331,331,225,15,36,1100,166,6840,3720,1100,4913,33,33,15.4,20,5524,49 +"Millersville University of Penn.","No",6011,3075,960,22,60,5146,1532,7844,3830,450,1258,72,74,16.8,20,7832,71 +"Milligan College","Yes",610,461,189,26,52,685,49,8200,3300,550,1000,63,69,12,16,8128,64 +"Millikin University","Yes",1444,1261,456,29,62,1788,95,11910,4378,450,965,60,77,11.4,25,8149,75 +"Millsaps College","Yes",905,834,319,32,61,1073,179,11320,4402,550,1350,82,89,12.7,38,11218,58 +"Milwaukee School of Engineering","Yes",1217,1088,496,36,69,1773,884,11505,3255,1000,2075,35,46,16.7,23,7140,67 +"Mississippi College","Yes",594,385,307,36,57,1695,721,5580,2830,600,700,77,79,16.5,18,6170,61 +"Mississippi State University","No",4255,3277,1609,18,57,10094,1621,9866,3084,480,1479,77,77,15.9,20,6223,53 +"Mississippi University for Women","No",480,405,380,19,46,1673,1014,4386,2217,600,1500,49,54,15.8,8,5704,63 +"Missouri Southern State College","No",1576,1326,913,13,50,3689,2200,3840,2852,200,400,52,54,20.3,9,4172,100 +"Missouri Valley College","Yes",1310,983,316,5,35,1057,175,8550,5050,400,900,35,67,17.4,16,4333,27 +"Monmouth College IL","Yes",601,503,204,28,57,671,11,13000,4100,400,460,91,91,11.6,43,11087,56 +"Monmouth College","Yes",2707,1881,478,14,34,1893,847,12480,5290,530,1740,70,85,14.2,15,9492,54 +"Montana College of Mineral Sci. & Tech.","No",572,544,320,45,72,1470,416,6073,3400,550,1400,71,71,16.4,31,6112,74 +"Montana State University","No",3500,2836,1779,15,42,8730,993,5552,3710,550,2300,75,83,17.6,8,6324,37 +"Montclair State University","No",5220,2128,865,19,53,6411,3186,3648,4834,700,950,82,87,21.5,9,6717,58 +"Montreat-Anderson College","Yes",263,223,103,10,24,316,20,8438,3372,500,2958,42,50,11.1,4,11989,15 +"Moorhead State University","No",2442,2164,1189,12,37,5983,1075,4426,2664,600,1000,76,81,18.1,19,4795,60 +"Moravian College","Yes",1232,955,303,23,58,1241,485,14990,4730,550,1250,86,92,15.2,28,9566,74 +"Morehouse College","Yes",3708,1678,722,41,66,2852,153,7050,5490,250,600,71,74,17.8,10,8122,83 +"Morningside College","Yes",586,533,239,16,36,950,228,10520,3678,500,1000,48,68,13,32,8111,56 +"Morris College","Yes",882,730,330,2,13,926,12,4515,2550,850,2100,53,60,18.6,34,6990,60 +"Mount Holyoke College","Yes",1800,1314,526,47,79,1891,40,19300,5700,750,750,79,91,9,51,18359,84 +"Mount Marty College","Yes",279,276,126,17,37,600,435,6844,2980,500,500,45,55,11.7,38,5073,44 +"Mount Mary College","Yes",235,217,121,12,32,931,487,8950,3119,550,1125,51,51,10.7,26,7016,78 +"Mount Mercy College","Yes",368,317,159,20,49,806,542,10500,3555,500,2285,44,50,11.3,30,6695,64 +"Mount Saint Clare College","Yes",325,284,95,16,33,364,88,9900,3650,500,1200,32,37,13.6,43,6525,21 +"Mount Saint Mary's College","Yes",1321,1159,328,15,36,1243,79,12850,6200,550,900,77,82,12.8,36,8536,80 +"Mount Saint Mary College","Yes",1170,695,238,14,48,1170,429,7470,4600,250,1400,74,75,15.3,23,6898,88 +"Mount St. Mary's College","Yes",657,537,113,37,90,1039,466,12474,5678,630,1278,53,71,11.9,19,10613,72 +"Mount Union College","Yes",1310,1086,458,26,61,1365,144,12250,3530,400,1150,85,87,16.7,35,7215,81 +"Mount Vernon Nazarene College","Yes",510,485,334,18,36,1114,94,7400,3346,600,600,57,57,19.8,7,6869,58 +"Muhlenberg College","Yes",2519,1836,462,30,61,1656,352,16975,4565,600,850,76,86,12.8,39,10888,83 +"Murray State University","No",2225,1910,1190,29,55,5968,955,4738,3110,700,940,72,76,20.2,27,5972,52 +"Muskingum College","Yes",1109,922,375,24,46,1115,70,13240,3914,600,800,73,85,13.4,27,9333,73 +"National-Louis University","Yes",513,347,279,23,48,2508,505,9090,4500,650,500,62,65,18.3,2,7905,71 +"Nazareth College of Rochester","Yes",947,798,266,36,68,1274,471,10850,5150,550,800,77,93,13.6,24,8797,61 +"New Jersey Institute of Technology","No",1879,1216,483,27,62,3311,1646,8832,5376,700,1850,92,98,13.5,19,12529,72 +"New Mexico Institute of Mining and Tech.","No",787,601,233,40,73,1017,411,5376,3214,600,1100,99,100,13.7,11,9241,34 +"New York University","Yes",13594,7244,2505,70,86,12408,2814,17748,7262,450,1000,87,98,7.8,16,21227,71 +"Newberry College","Yes",872,722,154,14,36,601,36,10194,2600,500,1500,57,63,11.4,32,5788,83 +"Niagara University","Yes",2220,1796,467,65,99,1919,334,10320,4762,450,650,68,100,14.2,20,7788,65 +"North Adams State College","No",1563,1005,240,1,19,1380,136,5542,4330,500,1000,65,71,14.2,17,6562,57 +"North Carolina A. & T. State University","No",4809,3089,1429,12,33,6162,871,6806,1780,600,1651,72,72,16.7,9,7090,44 +"North Carolina State University at Raleigh","No",10634,7064,3176,39,78,16505,5481,8400,6540,600,1300,92,98,17.5,21,9670,62 +"North Carolina Wesleyan College","Yes",812,689,195,7,24,646,84,8242,4230,600,1295,77,77,12.7,11,10090,52 +"North Central College","Yes",1127,884,308,30,64,1310,766,11718,7398,450,1800,73,87,16.4,33,8871,76 +"North Dakota State University","No",2968,2297,1610,13,47,7368,1128,5834,2744,600,2000,79,83,17,24,6310,42 +"North Park College","Yes",465,361,176,19,39,879,156,12580,4345,400,970,76,79,13.1,24,10889,74 +"Northeast Missouri State University","No",6040,4577,1620,36,72,5640,266,4856,3416,400,1100,69,72,15.7,13,6601,76 +"Northeastern University","Yes",11901,8492,2517,16,42,11160,10221,13380,7425,600,1750,73,82,12.9,17,9563,46 +"Northern Arizona University","No",5891,4931,1973,23,48,11249,2682,6746,3728,620,2342,78,83,21.7,7,6157,41 +"Northern Illinois University","No",10706,7219,2397,12,37,14826,1979,7799,3296,470,1750,73,78,17.3,11,6086,56 +"Northwest Missouri State University","No",2729,2535,1257,8,29,4787,472,3735,3136,250,1630,62,65,21.7,23,5284,54 +"Northwest Nazarene College","Yes",616,514,385,29,52,1115,60,9840,2820,450,822,59,59,14.8,20,6261,58 +"Northwestern College","Yes",860,811,366,22,56,1040,52,9900,3075,300,1800,68,68,14.9,34,6357,68 +"Northwestern University","Yes",12289,5200,1902,85,98,7450,45,16404,5520,759,1585,96,100,6.8,25,26385,92 +"Norwich University","Yes",1743,1625,626,8,29,1862,382,14134,5270,500,800,71,74,13.1,22,9209,63 +"Notre Dame College","Yes",379,324,107,15,37,500,311,9990,4900,400,600,44,47,12.1,26,4948,33 +"Oakland University","No",3041,2581,1173,16,56,6441,3982,9114,4030,400,650,88,90,19.7,13,6637,53 +"Oberlin College","Yes",4778,2767,678,50,89,2587,120,19670,5820,575,1119,77,96,10.1,47,16593,83 +"Occidental College","Yes",2324,1319,370,52,81,1686,35,16560,5140,558,1152,91,93,10.5,30,16196,79 +"Oglethorpe University","Yes",792,649,186,56,87,769,377,12900,4340,600,4110,91,95,13.1,27,8568,67 +"Ohio Northern University","Yes",2936,2342,669,35,62,2502,66,15990,4080,600,825,73,78,14.5,31,9979,83 +"Ohio University","No",11023,8298,3183,21,54,14861,1310,7629,4095,550,2300,79,87,20.4,13,8811,64 +"Ohio Wesleyan University","Yes",2190,1700,458,36,65,1780,48,16732,5650,550,550,93,93,12.1,32,12011,75 +"Oklahoma Baptist University","Yes",758,681,484,35,59,1707,705,5390,3140,515,1290,63,71,15.1,18,5511,50 +"Oklahoma Christian University","Yes",776,765,351,22,44,1419,228,6400,3150,500,1900,58,64,16.2,8,6578,45 +"Oklahoma State University","No",4522,3913,2181,29,57,12830,1658,5336,3344,800,3100,84,92,15.3,14,6433,48 +"Otterbein College","Yes",1496,1205,428,26,57,1648,936,12888,4440,420,840,62,68,13.9,30,8802,87 +"Ouachita Baptist University","Yes",910,773,450,31,73,1310,61,6530,2800,500,1500,63,67,13.3,10,6413,65 +"Our Lady of the Lake University","Yes",2308,1336,295,22,46,1202,942,8530,3644,616,1576,56,64,14.9,25,7114,37 +"Pace University","Yes",8256,3750,1522,37,70,5809,4379,11000,5160,660,1115,90,95,13.8,10,10059,62 +"Pacific Lutheran University","Yes",1603,1392,504,31,68,2580,302,13312,4488,600,1516,78,78,11,23,9431,83 +"Pacific Union College","Yes",940,668,385,20,48,1316,139,11925,3825,630,1926,48,87,12.3,12,9157,69 +"Pacific University","Yes",943,849,288,41,71,1041,35,14210,3994,450,1100,76,76,10.9,22,11216,42 +"Pembroke State University","No",944,774,440,14,34,2174,529,6360,2760,550,1498,77,77,15,5,6443,48 +"Pennsylvania State Univ. Main Campus","No",19315,10344,3450,48,93,28938,2025,10645,4060,512,2394,77,96,18.1,19,8992,63 +"Pepperdine University","Yes",3821,2037,680,86,96,2488,625,18200,6770,500,700,95,98,11.6,13,16185,66 +"Peru State College","No",701,501,458,10,40,959,457,2580,2624,500,900,48,100,20.1,24,4870,44 +"Pfeiffer College","Yes",838,651,159,11,25,654,162,8640,3700,400,1915,62,62,12.2,13,7634,48 +"Philadelphia Coll. of Textiles and Sci.","Yes",1538,1259,468,19,42,1664,1042,11690,5062,600,1664,48,80,12.9,15,8028,68 +"Phillips University","Yes",692,576,174,19,50,597,83,10500,3860,600,940,58,64,11.6,19,8990,39 +"Piedmont College","Yes",663,562,127,20,40,641,63,5640,3620,600,750,89,89,13.2,17,7309,31 +"Pikeville College","Yes",404,400,169,28,48,797,100,6000,3000,500,500,48,57,13.4,14,5557,61 +"Pitzer College","Yes",1133,630,220,37,73,750,30,17688,5900,650,850,100,100,10.4,11,14820,73 +"Point Loma Nazarene College","Yes",809,687,428,20,43,1889,217,10178,4190,800,750,71,71,16.1,19,7895,54 +"Point Park College","Yes",875,744,207,7,38,1173,1402,9700,4830,400,1200,45,90,14.5,10,7652,66 +"Polytechnic University","Yes",1132,847,302,58,89,1379,214,16200,4200,436,2486,90,90,10.4,14,14329,62 +"Prairie View A. and M. University","No",2405,2234,1061,10,22,4564,448,4290,3500,598,1582,55,93,19.4,1,5967,35 +"Presbyterian College","Yes",1082,832,302,34,63,1133,30,11859,3635,554,1429,80,85,13.4,42,8354,85 +"Princeton University","Yes",13218,2042,1153,90,98,4540,146,19900,5910,675,1575,91,96,8.4,54,28320,99 +"Providence College","Yes",5139,3346,973,20,55,3717,1358,14400,6200,450,1100,66,74,18.4,35,8135,96 +"Purdue University at West Lafayette","No",21804,18744,5874,29,60,26213,4065,9556,3990,570,1060,86,86,18.2,15,8604,67 +"Queens College","Yes",516,392,154,32,62,630,549,11020,4970,610,1900,73,75,14,36,9315,58 +"Quincy University","Yes",1025,707,297,22,66,1070,72,10100,4140,450,1080,69,71,16.3,32,6880,80 +"Quinnipiac College","Yes",3712,2153,806,17,45,2677,714,12030,6140,1000,500,63,73,12,33,8847,86 +"Radford University","No",5702,4894,1742,15,37,8077,472,6684,4110,500,900,73,83,19.6,9,4519,62 +"Ramapo College of New Jersey","No",2088,957,362,6,29,2745,1938,4449,4860,600,1655,74,95,17.8,8,7333,47 +"Randolph-Macon College","Yes",1771,1325,306,21,46,1071,27,13840,3735,400,900,77,80,10.7,38,11080,74 +"Randolph-Macon Woman's College","Yes",696,616,169,35,66,653,56,13970,6110,370,920,88,97,9.2,24,16358,68 +"Reed College","Yes",1966,1436,327,47,80,1199,61,19960,5490,500,450,90,90,11.8,37,15886,68 +"Regis College","Yes",427,385,143,18,38,581,533,12700,5800,450,700,81,85,10.3,37,11758,84 +"Rensselaer Polytechnic Institute","Yes",4996,4165,936,53,82,4291,16,17475,5976,1230,1100,94,98,15.4,21,15605,70 +"Rhodes College","Yes",2302,1831,391,58,82,1345,59,15200,4768,550,1500,90,96,10.8,47,13388,77 +"Rider University","Yes",3586,2424,730,16,31,2748,1309,13250,5420,700,3100,84,92,12.3,23,11299,70 +"Ripon College","Yes",587,501,211,28,52,735,28,15200,4100,350,650,87,90,9.4,49,12472,64 +"Rivier College","Yes",484,386,141,6,28,590,1196,9870,4860,600,1100,59,59,12.2,19,6744,81 +"Roanoke College","Yes",2227,1790,437,27,54,1460,239,13425,4425,450,1200,85,89,13,26,9405,72 +"Rockhurst College","Yes",935,858,345,22,50,1127,754,9490,4100,500,1500,60,79,10.7,21,7519,79 +"Rocky Mountain College","Yes",560,392,270,11,31,743,118,8734,3362,600,625,56,78,11.3,27,6422,68 +"Roger Williams University","Yes",3304,2804,679,10,20,2111,1489,12520,6050,500,730,44,54,16.4,8,7957,61 +"Rollins College","Yes",1777,1151,382,31,55,1668,1052,16425,5220,955,750,81,85,13.3,23,11561,90 +"Rosary College","Yes",434,321,141,28,53,624,269,10950,4600,550,950,79,82,12.9,30,9264,81 +"Rowan College of New Jersey","No",3820,1431,695,21,70,5303,3942,4356,4830,800,800,76,81,22.1,6,7252,51 +"Rutgers at New Brunswick","No",48094,26330,4520,36,79,21401,3712,7410,4748,690,2009,90,95,19.5,19,10474,77 +"Rutgers State University at Camden","No",3366,1752,232,27,79,2585,1300,7411,4748,690,2009,90,95,18.6,12,10134,57 +"Rutgers State University at Newark","No",5785,2690,499,26,62,4005,1886,7410,4748,690,2009,90,95,17.4,16,11878,58 +"Sacred Heart University","Yes",2307,1896,509,19,51,1707,1889,11070,5780,400,600,71,73,14.8,16,7120,82 +"Saint Ambrose University","Yes",897,718,276,12,48,1345,390,10450,4020,500,1500,56,56,14.1,16,7444,70 +"Saint Anselm College","Yes",2095,1553,514,15,40,1873,94,12950,5400,450,1120,70,82,14.5,29,6719,97 +"Saint Cloud State University","No",3971,3306,1921,10,34,11493,2206,4259,2625,350,1884,70,75,18.9,10,4629,58 +"Saint Francis College IN","Yes",213,166,85,13,36,513,247,8670,3820,450,1000,43,78,12.5,4,7440,48 +"Saint Francis College","Yes",1046,824,284,21,45,1223,451,10880,5050,400,1235,64,64,19.3,24,7344,69 +"Saint John's University","Yes",933,800,444,18,45,1691,72,12247,4081,500,600,76,85,12,38,9853,70 +"Saint Joseph's College IN","Yes",920,684,225,24,42,815,222,11200,4250,600,950,55,60,14.8,19,7360,67 +"Saint Joseph's College","Yes",833,682,217,12,33,716,2196,9985,5180,500,800,53,89,27.2,8,4322,85 +"Saint Joseph's University","Yes",2519,2003,776,39,71,2473,1314,12750,6350,350,1690,84,90,17.4,13,8243,83 +"Saint Joseph College","Yes",292,241,96,20,52,543,712,12200,4600,650,950,87,90,11.2,32,8680,76 +"Saint Louis University","Yes",3294,2855,956,44,67,4576,1140,11690,4730,800,6800,84,94,4.6,19,18367,67 +"Saint Mary's College","Yes",888,734,393,26,60,1433,27,12730,4514,500,1525,74,95,9.9,31,11165,98 +"Saint Mary's College of Minnesota","Yes",876,802,367,14,35,1263,118,10800,3600,400,820,68,74,18.8,19,5081,78 +"Saint Mary-of-the-Woods College","Yes",150,130,88,23,50,341,768,10300,4130,500,1700,44,58,10.2,37,9678,75 +"Saint Michael's College","Yes",1910,1380,463,16,64,1715,106,13030,5860,500,750,79,88,14.5,34,10190,84 +"Saint Olaf College","Yes",2248,1673,745,38,73,2888,105,14350,3750,550,550,82,88,10,31,12502,83 +"Saint Peter's College","Yes",1606,1413,530,23,38,1921,1154,9408,5520,500,450,78,78,12.1,22,7669,53 +"Saint Vincent College","Yes",700,595,278,19,35,1035,182,10850,3936,500,900,62,64,12.3,31,8534,88 +"Saint Xavier University","Yes",785,647,295,15,65,1670,726,10860,4624,600,794,87,100,13.7,15,8953,55 +"Salem-Teikyo University","Yes",489,384,120,23,52,700,45,10575,3952,400,620,46,24,13,9,8946,98 +"Salem College","Yes",335,284,132,28,69,534,216,10475,6300,500,2000,68,68,11.2,46,9599,60 +"Salisbury State University","No",4216,2290,736,20,52,4296,1027,5130,4690,600,1450,73,75,17.9,18,5125,56 +"Samford University","Yes",1680,1395,691,34,76,2959,402,8236,3700,569,1650,74,75,14.7,17,9533,61 +"San Diego State University","No",9402,7020,2151,20,70,16407,5550,8384,5110,612,2400,87,93,19.5,7,7930,41 +"Santa Clara University","Yes",4019,2779,888,40,73,3891,128,13584,5928,630,1278,88,92,13.9,19,10872,100 +"Sarah Lawrence College","Yes",1380,768,263,57,82,1000,105,19300,6694,600,700,89,93,6.1,18,14779,83 +"Savannah Coll. of Art and Design","Yes",1109,688,386,20,65,1897,208,8325,5000,1200,1600,14,98,16.1,26,6874,55 +"Schreiner College","Yes",584,413,131,19,51,521,99,8955,5900,500,1488,51,56,11.8,23,8545,52 +"Scripps College","Yes",855,632,139,60,83,569,7,17238,7350,600,800,95,100,8.2,41,18372,73 +"Seattle Pacific University","Yes",1183,1016,411,42,82,1922,704,12669,4875,600,1250,83,85,16.8,20,10368,66 +"Seattle University","Yes",2115,1540,494,28,72,2993,347,12825,4375,500,1500,85,85,12.2,16,10175,89 +"Seton Hall University","Yes",4576,3565,1000,16,36,4384,1530,12000,6484,650,1000,81,84,14.4,15,10080,64 +"Seton Hill College","Yes",936,794,197,24,56,752,210,11240,4180,350,2000,71,71,11.2,37,10065,71 +"Shippensburg University of Penn.","No",5818,3281,1116,14,53,5268,300,7844,3504,450,1700,80,83,18.8,13,6719,72 +"Shorter College","Yes",540,445,165,23,70,1115,111,7210,3600,500,2000,62,65,13.2,18,7356,58 +"Siena College","Yes",2961,1932,628,24,68,2669,616,10800,5100,575,1090,71,82,14.1,42,8189,100 +"Siena Heights College","Yes",464,419,183,10,31,686,287,9240,3880,475,1090,29,49,7.2,17,9431,47 +"Simmons College","Yes",1003,782,295,23,53,1144,160,16160,6950,500,1200,74,81,8.9,33,14086,79 +"Simpson College","Yes",1016,872,300,27,57,1116,602,11250,4980,550,1400,66,73,15.8,36,7411,70 +"Sioux Falls College","Yes",437,400,211,13,35,614,271,8990,3064,500,1700,73,73,14.8,7,7881,48 +"Skidmore College","Yes",4293,2728,591,25,62,2322,263,18710,5970,500,700,87,92,12.7,29,14837,81 +"Smith College","Yes",2925,1598,632,51,88,2479,95,18820,6390,500,1050,85,97,10.3,44,21199,90 +"South Dakota State University","No",2807,2589,1701,13,37,7000,1103,3811,2190,500,1970,62,65,15,29,5084,67 +"Southeast Missouri State University","No",2281,1870,1408,18,43,6553,1246,4680,3540,200,2150,75,76,17.1,8,5916,45 +"Southeastern Oklahoma State Univ.","No",818,700,447,20,50,2962,651,3738,2619,450,1022,55,59,19.6,9,4444,53 +"Southern California College","Yes",385,340,193,18,38,784,127,9520,4124,630,1818,63,65,18.6,11,8219,43 +"Southern Illinois University at Edwardsville","No",2540,2195,994,13,40,6063,2550,5472,3598,221,2216,76,81,16.5,8,7498,43 +"Southern Methodist University","Yes",4301,3455,1166,41,69,4892,387,12772,5078,576,1802,74,88,13.5,17,12726,72 +"Southwest Baptist University","Yes",1093,1093,642,12,32,1770,967,7070,2500,400,1000,52,54,15.9,13,4718,71 +"Southwest Missouri State University","No",6118,5254,3204,15,37,13131,3374,4740,2590,500,1360,70,75,19.9,11,4632,56 +"Southwest State University","No",1047,938,511,13,33,2091,546,4285,2750,600,1800,58,75,16.5,31,6591,51 +"Southwestern Adventist College","Yes",321,318,172,11,27,620,280,7536,3736,430,1651,44,77,13,12,5309,36 +"Southwestern College","Yes",213,155,75,28,66,504,147,7200,3532,550,1500,56,56,11.8,12,7818,52 +"Southwestern University","Yes",1244,912,352,44,77,1177,43,11850,4675,600,1050,83,89,11.3,35,12995,67 +"Spalding University","Yes",283,201,97,10,45,589,263,8400,2800,600,900,50,56,10.6,40,6860,89 +"Spelman College","Yes",3713,1237,443,47,83,1971,107,7000,5565,660,2400,73,80,12.5,18,9988,65 +"Spring Arbor College","Yes",372,362,181,15,32,1501,353,8600,3550,385,665,48,48,15.4,9,10938,49 +"St. Bonaventure University","Yes",1489,1313,375,13,45,1688,131,10456,4927,500,1050,91,91,17.7,32,9828,78 +"St. John's College","Yes",323,278,122,31,51,393,4,16150,5450,275,800,63,72,7.2,26,15622,64 +"St. John Fisher College","Yes",1368,1064,354,19,51,1687,677,10570,5600,400,800,86,81,14.5,29,7908,66 +"St. Lawrence University","Yes",2753,1820,505,31,56,1801,45,18720,5730,650,825,90,94,11.5,38,14980,85 +"St. Martin's College","Yes",191,165,63,5,25,494,574,11550,4270,300,500,43,77,14.5,8,9209,40 +"St. Mary's College of California","Yes",2643,1611,465,36,80,2615,248,13332,6354,630,1584,88,89,16.1,17,9619,78 +"St. Mary's College of Maryland","No",1340,695,285,42,73,1315,209,6800,4730,675,1250,84,89,11.6,23,10357,63 +"St. Mary's University of San Antonio","Yes",1243,1020,414,33,60,2149,418,8678,3858,700,1736,82,83,16.2,7,7651,72 +"St. Norbert College","Yes",1334,1243,568,30,56,1946,95,12140,4450,425,1100,74,78,15.1,36,8595,88 +"St. Paul's College","Yes",651,581,243,8,17,617,34,5000,3650,600,600,45,45,14,8,8426,45 +"St. Thomas Aquinas College","Yes",861,609,215,10,27,1117,815,8650,5700,500,1750,69,73,16.1,13,6534,67 +"Stephens College","Yes",450,405,194,17,34,614,388,13900,5200,450,2150,46,63,10.9,17,9995,59 +"Stetson University","Yes",1557,1227,489,37,69,1964,81,12315,4565,600,1365,85,90,12.5,24,10307,73 +"Stevens Institute of Technology","Yes",1768,1249,380,51,93,1263,11,16900,5680,450,750,89,89,19,33,12837,79 +"Stockton College of New Jersey","No",4019,1579,710,23,65,4365,765,3040,4351,711,1125,78,92,19.5,7,5599,64 +"Stonehill College","Yes",3646,2300,585,25,69,2022,926,12170,6172,480,800,79,79,13,30,7495,97 +"SUNY at Albany","No",13528,9198,1843,16,61,10168,1231,6550,4355,700,1560,93,96,17.4,16,9075,74 +"SUNY at Binghamton","No",14463,6166,1757,60,94,8544,671,6550,4598,700,1000,83,100,18,15,8055,80 +"SUNY at Buffalo","No",15039,9649,3087,36,100,13963,3124,6550,4731,708,957,90,97,13.6,15,11177,56 +"SUNY at Stony Brook","No",12512,6969,1724,27,66,9744,1351,6550,4712,600,1200,91,96,10.5,7,13705,57 +"SUNY College at Brockport","No",7294,3564,904,7,34,5758,1363,6550,4460,500,705,79,83,19,14,6632,49 +"SUNY College at Oswego","No",8000,4556,1464,17,70,6943,869,6550,4810,500,1500,69,85,22,21,5280,63 +"SUNY College at Buffalo","No",5318,3515,1025,8,29,7626,2091,6550,4040,550,1230,71,78,18.7,12,7511,42 +"SUNY College at Cortland","No",7888,3519,1036,6,40,5011,346,6550,4680,630,1274,82,85,17.8,17,5563,53 +"SUNY College at Fredonia","No",4877,2798,814,13,48,4123,298,6550,4420,620,1481,82,90,16.3,10,6442,66 +"SUNY College at Geneseo","No",8598,4562,1143,56,93,5060,146,6550,4170,600,650,79,84,19.1,25,5716,76 +"SUNY College at New Paltz","No",8399,3609,656,19,53,4658,1478,6550,4240,550,1500,85,93,15.3,8,6608,53 +"SUNY College at Plattsburgh","No",5549,3583,853,9,40,5004,475,6550,4176,600,1380,80,90,17.9,16,6174,65 +"SUNY College at Potsdam","No",3150,2289,650,16,51,3598,234,6840,4660,500,1000,71,75,15.1,17,6436,59 +"SUNY College at Purchase","No",2119,1264,390,5,33,2478,1441,6550,4760,1125,1362,80,100,14.9,8,8170,46 +"Susquehanna University","Yes",2096,1512,465,27,59,1442,166,16130,4710,400,800,83,86,13.9,37,10554,90 +"Sweet Briar College","Yes",462,402,146,36,68,527,41,14500,6000,500,600,91,99,6.5,48,18953,61 +"Syracuse University","Yes",10477,7260,2442,28,67,10142,117,15150,6870,635,960,73,84,11.3,13,14231,67 +"Tabor College","Yes",257,183,109,19,41,396,38,7850,3410,400,1500,55,70,10,15,7233,53 +"Talladega College","Yes",4414,1500,335,30,60,908,119,5666,2964,1000,1400,56,58,15.5,7,5970,46 +"Taylor University","Yes",1769,1092,437,41,80,1757,81,10965,4000,450,1250,60,61,14.2,32,8294,98 +"Tennessee Wesleyan College","Yes",232,182,99,7,29,402,237,7070,3640,400,3158,59,65,8.9,16,6286,36 +"Texas A&M Univ. at College Station","No",14474,10519,6392,49,85,31643,2798,5130,3412,600,2144,89,91,23.1,29,8471,69 +"Texas A&M University at Galveston","No",529,481,243,22,47,1206,134,4860,3122,600,650,103,88,17.4,16,6415,43 +"Texas Christian University","Yes",4095,3079,1195,33,64,5064,660,8490,3320,650,2400,81,93,14.8,23,9158,64 +"Texas Lutheran College","Yes",497,423,215,27,57,895,429,7850,3410,490,1700,54,58,13.8,24,7002,50 +"Texas Southern University","No",4345,3245,2604,15,85,5584,3101,7860,3360,600,1700,65,75,18.2,21,3605,10 +"Texas Wesleyan University","Yes",592,501,279,19,44,1204,392,6400,3484,600,1800,80,83,14.5,10,7936,43 +"The Citadel","No",1500,1242,611,12,36,2024,292,7070,2439,400,779,95,94,17.1,17,7744,84 +"Thiel College","Yes",1154,951,253,15,31,791,140,11172,4958,700,1350,68,76,11.6,16,9186,60 +"Tiffin University","Yes",845,734,254,5,21,662,351,7600,3800,600,1200,59,74,19,40,5096,39 +"Transylvania University","Yes",759,729,244,57,81,867,51,10900,4450,500,1000,81,91,12.1,41,10219,70 +"Trenton State College","No",5042,2312,944,55,94,5167,902,5391,5411,700,1000,81,87,14.4,6,8504,81 +"Tri-State University","Yes",1262,1102,276,14,40,978,98,9456,4350,468,1323,53,53,12.8,24,7603,65 +"Trinity College CT","Yes",3058,1798,478,46,84,1737,244,18810,5690,500,680,91,96,10.4,48,18034,91 +"Trinity College DC","Yes",247,189,100,19,49,309,639,11412,6430,500,900,89,93,8.3,37,11806,96 +"Trinity College VT","Yes",222,185,91,16,41,484,541,11010,5208,550,500,58,78,10.4,26,9586,78 +"Trinity University","Yes",2425,1818,601,62,93,2110,95,12240,5150,500,490,94,96,9.6,20,14703,93 +"Tulane University","Yes",7033,5125,1223,47,75,4941,1534,19040,5950,350,800,98,98,9.1,21,16920,74 +"Tusculum College","Yes",626,372,145,12,34,983,40,7700,3400,450,800,70,70,21.9,28,4933,52 +"Tuskegee University","Yes",2267,1827,611,20,59,2825,144,6735,3395,600,1425,70,74,12.2,7,10872,65 +"Union College KY","Yes",484,384,177,9,45,634,78,7800,2950,500,600,60,88,14.1,9,6864,64 +"Union College NY","Yes",3495,1712,528,49,84,1915,123,18732,6204,450,1024,94,96,11.5,49,15411,88 +"Univ. of Wisconsin at OshKosh","No",4800,2900,1515,14,48,7764,1472,6874,2394,518,1890,73,78,19.2,14,5901,56 +"University of Alabama at Birmingham","No",1797,1260,938,24,35,6960,4698,4440,5175,750,2200,96,96,6.7,16,16352,33 +"University of Arkansas at Fayetteville","No",3235,3108,2133,25,65,9978,1530,5028,3300,500,2000,73,89,14.8,10,6820,39 +"University of California at Berkeley","No",19873,8252,3215,95,100,19532,2061,11648,6246,636,1933,93,97,15.8,10,13919,78 +"University of California at Irvine","No",15698,10775,2478,85,100,12677,864,12024,5302,790,1818,96,96,16.1,11,15934,66 +"University of Central Florida","No",6986,2959,1918,25,60,12330,7152,6618,4234,700,1600,80,98,22.2,9,6742,46 +"University of Charleston","Yes",682,535,204,22,43,771,611,9500,3540,400,750,26,58,2.5,10,7683,57 +"University of Chicago","Yes",6348,2999,922,68,94,3340,39,18930,6380,500,1254,99,99,5.3,36,36854,90 +"University of Cincinnati","No",6855,5553,2408,26,57,11036,2011,8907,4697,556,1851,89,95,10.8,6,13889,54 +"University of Connecticut at Storrs","No",9735,7187,2064,23,63,12478,1660,11656,5072,700,2300,89,95,16,16,10178,71 +"University of Dallas","Yes",681,588,246,44,74,1058,73,10760,6230,500,1200,85,93,13.4,26,8731,63 +"University of Dayton","Yes",6361,5293,1507,26,51,5889,665,11380,4220,500,900,81,85,14.8,25,8894,93 +"University of Delaware","Yes",14446,10516,3252,22,57,14130,4522,10220,4230,530,1300,82,87,18.3,15,10650,75 +"University of Denver","Yes",2974,2001,580,29,60,2666,554,15192,4695,400,1350,84,91,15.9,21,11762,67 +"University of Detroit Mercy","Yes",927,731,415,24,50,2149,2217,11130,3996,600,2166,72,79,13.5,14,10891,51 +"University of Dubuque","Yes",576,558,137,11,39,662,131,10430,3620,400,1500,85,98,16.5,18,8767,45 +"University of Evansville","Yes",2096,1626,694,35,67,2551,407,11800,4340,700,960,60,81,15.8,26,7780,77 +"University of Florida","No",12445,8836,3623,54,85,24470,3286,7090,4180,630,1530,88,97,13.4,20,14737,66 +"University of Georgia","No",11220,7871,3320,43,79,19553,2748,5697,3600,525,1755,88,95,14.7,22,7881,63 +"University of Hartford","Yes",5081,4040,1194,11,26,3768,1415,14220,6000,500,1440,61,76,10.7,9,10625,66 +"University of Hawaii at Manoa","No",3580,2603,1627,36,69,11028,2411,4460,3038,687,1281,85,87,11.8,6,12833,54 +"University of Illinois - Urbana","No",14939,11652,5705,52,88,25422,911,7560,4574,500,1982,87,90,17.4,13,8559,81 +"University of Illinois at Chicago","No",8384,5727,2710,22,50,13518,2916,7230,5088,630,3228,82,84,10,6,13883,34 +"University of Indianapolis","Yes",1487,1276,388,26,51,1417,1646,11120,4080,525,1405,55,56,11.1,23,6735,69 +"University of Kansas","No",8579,5561,3681,25,50,17880,1673,6994,3384,700,2681,88,94,13.7,17,9657,57 +"University of La Verne","Yes",1597,969,226,16,38,1431,1522,13540,5050,630,2298,66,68,14.1,23,10139,47 +"University of Louisville","No",4777,3057,1823,16,33,9844,6198,6540,3600,530,2440,84,92,11.1,24,10207,31 +"University of Maine at Farmington","No",1208,803,438,20,48,1906,344,6810,3970,450,1647,67,75,15.9,26,5712,59 +"University of Maine at Machias","No",441,369,172,17,45,633,317,6600,3680,600,400,46,46,15.1,4,5935,64 +"University of Maine at Presque Isle","No",461,381,235,10,40,974,503,6600,3630,400,1675,67,67,15.2,11,6408,35 +"University of Maryland at Baltimore County","No",4269,2594,985,27,57,6476,2592,8594,4408,494,2768,82,88,18.4,6,7618,55 +"University of Maryland at College Park","No",14292,10315,3409,22,53,19340,3991,8723,5146,550,1550,89,92,18.1,12,9021,63 +"University of Massachusetts at Amherst","No",14438,12414,3816,12,39,16282,1940,8566,3897,500,1400,88,92,16.7,15,10276,68 +"University of Massachusetts at Dartmouth","No",3347,2597,1006,10,37,4664,1630,6919,4500,500,1250,74,90,15,20,7462,56 +"University of Miami","Yes",7122,5386,1643,42,69,7760,876,16500,6526,630,1985,82,94,5.9,17,17500,59 +"University of Michigan at Ann Arbor","No",19152,12940,4893,66,92,22045,1339,15732,4659,476,1600,90,98,11.5,26,14847,87 +"University of Minnesota at Duluth","No",4192,3126,1656,15,45,5887,1254,8828,3474,753,2610,79,91,19,11,6393,53 +"University of Minnesota at Morris","No",1458,874,588,56,86,1846,154,9843,3180,600,1500,74,78,14.6,16,6716,51 +"University of Minnesota Twin Cities","No",11054,6397,3524,26,55,16502,21836,8949,3744,714,2910,88,90,12.2,37,16122,45 +"University of Mississippi","No",3844,3383,1669,26,47,7524,804,4916,3810,600,550,81,86,20.3,14,6971,53 +"University of Missouri at Columbia","No",6574,4637,2940,32,62,14782,1583,9057,3485,600,1983,87,87,12.7,15,10145,58 +"University of Missouri at Rolla","No",1877,1826,823,49,77,3926,561,9057,3600,700,1435,88,88,14.4,23,9699,49 +"University of Missouri at Saint Louis","No",1618,1141,479,18,54,4793,4552,7246,3964,500,4288,71,73,13.4,15,6433,48 +"University of Mobile","Yes",452,331,269,17,54,1417,301,6150,3680,550,1200,59,63,16.6,4,5412,52 +"University of Montevallo","No",1351,892,570,18,78,2385,331,4440,3030,300,600,72,72,18.9,8,5883,51 +"University of Nebraska at Lincoln","No",6277,6003,3526,33,63,16454,3171,5595,3145,500,2070,86,92,15.1,48,6813,53 +"University of New England","Yes",1209,750,265,19,54,820,159,11450,5045,900,2500,72,75,11.4,13,9718,64 +"University of New Hampshire","No",9750,7640,2529,24,62,10358,1338,11180,3862,650,2450,89,87,17.5,16,7855,75 +"University of North Carolina at Asheville","No",1757,979,394,32,74,2033,1078,5972,3420,600,750,77,83,13,11,7011,37 +"University of North Carolina at Chapel Hill","No",14596,5985,3331,75,92,14609,1100,8400,4200,550,1200,88,93,8.9,23,15893,83 +"University of North Carolina at Charlotte","No",5803,4441,1730,19,62,10099,3255,7248,3109,600,1900,79,91,16.8,7,6227,62 +"University of North Carolina at Greensboro","No",5191,4134,1500,15,44,7532,1847,8677,3505,600,1300,75,94,15.5,17,7392,53 +"University of North Carolina at Wilmington","No",6071,3856,1449,15,67,6635,1145,7558,3680,500,1500,82,85,19.1,15,6005,55 +"University of North Dakota","No",2777,2249,1652,20,54,8334,1435,5634,2703,450,1200,97,97,15.9,16,9424,49 +"University of North Florida","No",1800,1253,560,44,85,3876,3588,6634,4360,600,2604,82,85,17.8,14,6104,47 +"University of North Texas","No",4418,2737,2049,23,51,14047,5134,4104,3579,450,1700,86,94,22.6,6,5657,35 +"University of Northern Colorado","No",5530,4007,1697,12,37,8463,1498,7731,4128,540,2286,75,75,21.5,8,6309,40 +"University of Northern Iowa","No",4144,3379,1853,18,52,10135,1448,6197,2930,595,2380,78,82,16.3,26,6333,77 +"University of Notre Dame","Yes",7700,3700,1906,79,96,7671,30,16850,4400,600,1350,96,92,13.1,46,13936,97 +"University of Oklahoma","No",4743,3970,2233,32,63,13436,2582,5173,3526,765,3176,86,90,11.5,11,10244,44 +"University of Oregon","No",8631,6732,2546,25,61,11669,1605,10602,3660,570,1530,79,87,19.7,13,8020,54 +"University of Pennsylvania","Yes",12394,5232,2464,85,100,9205,531,17020,7270,500,1544,95,96,6.3,38,25765,93 +"University of Pittsburgh-Main Campus","No",8586,6383,2503,25,59,13138,4289,10786,4560,400,900,93,93,7.8,10,13789,66 +"University of Portland","Yes",1758,1485,419,27,58,2041,174,12040,4100,600,1100,92,96,13.2,17,9060,72 +"University of Puget Sound","Yes",4044,2826,688,51,83,2738,138,16230,4500,630,1800,79,86,15,17,11217,63 +"University of Rhode Island","No",9643,7751,1968,12,40,8894,2456,10330,5558,500,1250,84,89,16.6,7,9158,63 +"University of Richmond","Yes",5892,2718,756,46,72,2854,594,14500,3285,700,1125,75,89,11.7,32,11984,100 +"University of Rochester","Yes",8766,5498,1243,56,75,5071,438,17840,6582,500,882,93,99,5.9,23,26037,80 +"University of San Diego","Yes",3934,2735,886,40,70,3698,217,13600,5940,630,1820,93,96,15.6,13,10813,66 +"University of San Francisco","Yes",2306,1721,538,23,48,4309,549,13226,6452,750,2450,86,86,13.6,8,10074,62 +"University of Sci. and Arts of Oklahoma","No",285,280,208,21,43,1140,473,3687,1920,600,1800,67,77,23.6,3,3864,43 +"University of Scranton","Yes",4471,2942,910,29,60,3674,493,11584,5986,650,800,83,83,14.1,41,9131,92 +"University of South Carolina at Aiken","No",848,560,377,14,24,1855,1412,5800,3066,500,1500,62,62,14.8,3,5035,48 +"University of South Carolina at Columbia","No",7693,5815,2328,30,66,12594,3661,8074,3522,495,2941,84,88,16.9,18,8246,63 +"University of South Florida","No",7589,4676,1876,29,63,14770,10962,6760,3776,500,2180,84,89,17,7,11020,47 +"University of Southern California","Yes",12229,8498,2477,45,71,13259,1429,17230,6482,600,2210,90,94,11.4,10,17007,68 +"University of Southern Colorado","No",1401,1239,605,10,34,3716,675,7100,4380,540,2948,63,88,19.4,0,5389,36 +"University of Southern Indiana","No",2379,2133,1292,8,25,4283,2973,4973,3192,500,1425,56,65,22,21,4078,38 +"University of Southern Mississippi","No",2850,2044,1046,20,50,9260,1387,4652,2470,500,500,78,99,18.7,23,5917,45 +"University of St. Thomas MN","Yes",2057,1807,828,26,53,4106,982,11712,4037,500,800,80,80,13.8,13,8546,89 +"University of St. Thomas TX","Yes",374,280,185,45,77,995,408,8550,4050,500,1344,75,75,12.6,17,7237,62 +"University of Tennessee at Knoxville","No",7473,5372,3013,27,53,15749,3237,5764,3262,750,3300,86,92,16.5,22,8612,53 +"University of Texas at Arlington","No",3281,2559,1448,19,43,10975,8431,4422,2780,500,2850,73,73,21,4,4696,29 +"University of Texas at Austin","No",14752,9572,5329,48,85,30017,5189,5130,3309,650,3140,91,99,19.7,11,7837,65 +"University of Texas at San Antonio","No",4217,3100,1686,17,46,9375,5457,4104,5376,452,1200,94,100,25.3,3,4329,50 +"University of the Arts","Yes",974,704,290,5,22,1145,39,12520,3860,1300,700,16,59,7.5,9,11641,57 +"University of the Pacific","Yes",2459,1997,582,36,66,2664,299,16320,5326,646,1171,87,94,11.2,14,13706,65 +"University of the South","Yes",1445,966,326,46,83,1129,24,15350,4080,450,810,89,93,10.3,52,18784,82 +"University of Tulsa","Yes",1712,1557,696,41,68,2936,433,11750,4160,1200,2350,94,96,11.5,10,11743,47 +"University of Utah","No",5095,4491,2400,27,53,13894,8374,6857,3975,858,3093,89,93,12.8,9,9275,37 +"University of Vermont","No",7663,6008,1735,18,51,7353,1674,15516,4928,500,990,87,90,9.9,10,12646,79 +"University of Virginia","No",15849,5384,2678,74,95,11278,114,12212,3792,500,1000,90,92,9.5,22,13597,95 +"University of Washington","No",12749,7025,3343,40,81,20356,4582,8199,4218,708,2172,96,94,9,10,16527,65 +"University of West Florida","No",1558,1254,472,20,57,3754,2477,6172,3994,541,1387,83,87,23.4,12,8488,53 +"University of Wisconsin-Stout","No",2593,1966,1030,9,32,6038,579,6704,2592,376,1750,78,78,21,17,6254,65 +"University of Wisconsin-Superior","No",910,910,342,14,53,1434,417,7032,2780,550,1960,75,81,15.2,15,6490,36 +"University of Wisconsin-Whitewater","No",4400,3719,1472,12,38,7804,1552,6950,2500,300,1200,90,95,23.1,16,5559,67 +"University of Wisconsin at Green Bay","No",2409,1939,759,17,50,3819,1347,6900,2800,475,1200,81,89,22.2,1,5968,46 +"University of Wisconsin at Madison","No",14901,10932,4631,36,80,23945,2200,9096,4290,535,1545,93,96,11.5,20,11006,72 +"University of Wisconsin at Milwaukee","No",5244,3782,1930,12,37,11561,7443,8786,2964,570,1980,79,87,15.9,8,8094,38 +"University of Wyoming","No",2029,1516,1073,23,46,7535,1488,5988,3422,600,1500,91,94,15.1,13,8745,45 +"Upper Iowa University","Yes",663,452,192,10,35,1481,1160,8840,3060,500,1000,69,75,17.4,19,3733,78 +"Ursinus College","Yes",1399,1026,308,44,77,1131,17,14900,5160,500,800,82,85,11.6,40,12082,79 +"Ursuline College","Yes",325,260,86,21,47,699,717,9600,4202,450,750,39,69,10.5,15,7164,68 +"Valley City State University","No",368,344,212,5,27,863,189,4286,2570,600,2000,39,41,14.9,25,4958,40 +"Valparaiso University","Yes",2075,1727,520,49,81,2501,198,11800,3260,500,800,87,89,14.2,23,9681,95 +"Vanderbilt University","Yes",7791,4690,1499,71,92,5500,90,17865,6525,630,952,93,98,5.8,26,23850,83 +"Vassar College","Yes",3550,1877,653,53,87,2164,77,18920,5950,600,800,90,98,9.7,39,17089,90 +"Villanova University","Yes",7759,5588,1477,30,68,6362,1292,15925,6507,400,300,89,90,13.4,24,10458,96 +"Virginia Commonwealth University","No",4963,3497,1567,18,45,10262,5065,10217,4182,500,3630,81,87,8.7,11,11183,45 +"Virginia State University","No",2996,2440,704,2,30,3006,338,5587,4845,500,600,61,63,16,11,5733,31 +"Virginia Tech","No",15712,11719,4277,29,53,18511,604,10260,3176,740,2200,85,89,13.8,20,8944,73 +"Virginia Union University","Yes",1847,1610,453,19,59,1298,67,7384,3494,500,1763,51,67,13.7,8,6757,30 +"Virginia Wesleyan College","Yes",1470,900,287,20,49,1130,417,10900,5100,500,550,70,81,15.7,14,7804,68 +"Viterbo College","Yes",647,518,271,17,43,1014,387,9140,3365,500,2245,51,65,10.7,31,8050,73 +"Voorhees College","Yes",1465,1006,188,10,30,703,20,4450,2522,500,1200,43,43,22.9,3,5861,58 +"Wabash College","Yes",800,623,256,41,76,801,5,12925,4195,500,635,78,85,9.9,55,14904,72 +"Wagner College","Yes",1416,1015,417,10,44,1324,117,13500,5800,585,1700,67,78,13.2,23,9006,75 +"Wake Forest University","Yes",5661,2392,903,75,88,3499,172,13850,4360,500,1250,95,97,4.3,37,41766,89 +"Walsh University","Yes",1092,890,477,27,92,847,497,8670,4180,500,1450,42,58,11.3,33,5738,68 +"Warren Wilson College","Yes",440,311,112,25,49,466,7,10000,3052,400,1100,65,75,11.4,20,9430,63 +"Wartburg College","Yes",1231,1074,345,34,66,1295,105,11600,3610,400,850,66,91,12.4,37,7735,67 +"Washington and Jefferson College","Yes",1305,1100,334,42,64,1098,151,16260,4005,300,500,91,91,12.1,40,10162,86 +"Washington and Lee University","Yes",3315,1096,425,68,93,1584,3,13750,4619,680,1115,81,96,9.6,45,15736,90 +"Washington College","Yes",1209,942,214,31,60,822,46,15276,5318,500,300,79,86,11.2,37,10830,65 +"Washington State University","No",6540,5839,2440,31,70,14445,1344,8200,4210,800,2719,84,87,16.9,30,10912,56 +"Washington University","Yes",7654,5259,1254,62,93,4879,1274,18350,5775,768,1512,91,98,3.9,31,45702,90 +"Wayne State College","No",1373,1373,724,6,21,2754,474,2700,2660,540,1660,60,68,20.3,29,4550,52 +"Waynesburg College","Yes",1190,978,324,12,30,1280,61,8840,3620,500,1200,57,58,16.2,26,6563,63 +"Webber College","Yes",280,143,79,5,27,327,110,5590,2900,650,1952,53,63,15.1,4,4839,90 +"Webster University","Yes",665,462,226,17,44,1739,1550,9160,4340,500,500,68,68,20.6,14,6951,48 +"Wellesley College","Yes",2895,1249,579,80,96,2195,156,18345,5995,500,700,94,98,10.6,51,21409,91 +"Wells College","Yes",318,240,130,40,85,416,19,14900,5550,600,500,93,98,8.3,42,13935,69 +"Wentworth Institute of Technology","Yes",1480,1257,452,6,25,2961,572,9850,6050,850,920,10,68,15.4,8,17858,64 +"Wesley College","Yes",980,807,350,10,25,872,448,9890,4674,500,1350,52,57,14.4,15,6243,84 +"Wesleyan University","Yes",4772,1973,712,60,86,2714,27,19130,5600,1400,1400,90,94,12.1,39,16262,92 +"West Chester University of Penn.","No",6502,3539,1372,11,51,7484,1904,7844,4108,400,2000,76,79,15.3,16,6773,52 +"West Liberty State College","No",1164,1062,478,12,25,2138,227,4470,2890,600,1210,33,33,16.3,10,4249,60 +"West Virginia Wesleyan College","Yes",1566,1400,483,28,55,1509,170,14200,3775,450,1100,58,81,16.4,42,8080,67 +"Western Carolina University","No",3224,2519,1057,11,31,5000,706,6390,2380,110,1622,67,78,14.6,9,6554,55 +"Western Maryland College","Yes",1205,984,278,31,50,1071,98,14510,5340,500,1400,84,91,12.5,39,10026,60 +"Western Michigan University","No",9167,7191,2738,24,53,15739,4278,6940,4100,500,1700,80,84,24.7,11,5983,55 +"Western New England College","Yes",1650,1471,409,7,21,1803,1116,8994,5500,498,2065,74,97,15.4,15,8409,59 +"Western State College of Colorado","No",2702,1623,604,7,24,2315,146,5918,3755,500,2050,76,79,19.4,4,4599,52 +"Western Washington University","No",5548,3563,1549,30,71,8909,506,8124,4144,639,2385,83,89,22.7,10,7203,61 +"Westfield State College","No",3100,2150,825,3,20,3234,941,5542,3788,500,1300,75,79,15.7,20,4222,65 +"Westminster College MO","Yes",662,553,184,20,43,665,37,10720,4050,600,1650,66,70,12.5,20,7925,62 +"Westminster College","Yes",996,866,377,29,58,1411,72,12065,3615,430,685,62,78,12.5,41,8596,80 +"Westminster College of Salt Lake City","Yes",917,720,213,21,60,979,743,8820,4050,600,2025,68,83,10.5,34,7170,50 +"Westmont College","No",950,713,351,42,72,1276,9,14320,5304,490,1410,77,77,14.9,17,8837,87 +"Wheaton College IL","Yes",1432,920,548,56,84,2200,56,11480,4200,530,1400,81,83,12.7,40,11916,85 +"Westminster College PA","Yes",1738,1373,417,21,55,1335,30,18460,5970,700,850,92,96,13.2,41,22704,71 +"Wheeling Jesuit College","Yes",903,755,213,15,49,971,305,10500,4545,600,600,66,71,14.1,27,7494,72 +"Whitman College","Yes",1861,998,359,45,77,1220,46,16670,4900,750,800,80,83,10.5,51,13198,72 +"Whittier College","Yes",1681,1069,344,35,63,1235,30,16249,5699,500,1998,84,92,13.6,29,11778,52 +"Whitworth College","Yes",1121,926,372,43,70,1270,160,12660,4500,678,2424,80,80,16.9,20,8328,80 +"Widener University","Yes",2139,1492,502,24,64,2186,2171,12350,5370,500,1350,88,86,12.6,19,9603,63 +"Wilkes University","Yes",1631,1431,434,15,36,1803,603,11150,5130,550,1260,78,92,13.3,24,8543,67 +"Willamette University","Yes",1658,1327,395,49,80,1595,159,14800,4620,400,790,91,94,13.3,37,10779,68 +"William Jewell College","Yes",663,547,315,32,67,1279,75,10060,2970,500,2600,74,80,11.2,19,7885,59 +"William Woods University","Yes",469,435,227,17,39,851,120,10535,4365,550,3700,39,66,12.9,16,7438,52 +"Williams College","Yes",4186,1245,526,81,96,1988,29,19629,5790,500,1200,94,99,9,64,22014,99 +"Wilson College","Yes",167,130,46,16,50,199,676,11428,5084,450,475,67,76,8.3,43,10291,67 +"Wingate College","Yes",1239,1017,383,10,34,1207,157,7820,3400,550,1550,69,81,13.9,8,7264,91 +"Winona State University","No",3325,2047,1301,20,45,5800,872,4200,2700,300,1200,53,60,20.2,18,5318,58 +"Winthrop University","No",2320,1805,769,24,61,3395,670,6400,3392,580,2150,71,80,12.8,26,6729,59 +"Wisconsin Lutheran College","Yes",152,128,75,17,41,282,22,9100,3700,500,1400,48,48,8.5,26,8960,50 +"Wittenberg University","Yes",1979,1739,575,42,68,1980,144,15948,4404,400,800,82,95,12.8,29,10414,78 +"Wofford College","Yes",1501,935,273,51,83,1059,34,12680,4150,605,1440,91,92,15.3,42,7875,75 +"Worcester Polytechnic Institute","Yes",2768,2314,682,49,86,2802,86,15884,5370,530,730,92,94,15.2,34,10774,82 +"Worcester State College","No",2197,1515,543,4,26,3089,2029,6797,3900,500,1200,60,60,21,14,4469,40 +"Xavier University","Yes",1959,1805,695,24,47,2849,1107,11520,4960,600,1250,73,75,13.3,31,9189,83 +"Xavier University of Louisiana","Yes",2097,1915,695,34,61,2793,166,6900,4200,617,781,67,75,14.4,20,8323,49 +"Yale University","Yes",10705,2453,1317,95,99,5217,83,19840,6510,630,2115,96,96,5.8,49,40386,99 +"York College of Pennsylvania","Yes",2989,1855,691,28,63,2988,1726,4990,3560,500,1250,75,75,18.1,28,4509,99 diff --git a/Data/Credit.csv b/Data/Credit.csv index 0a1939f..bac9372 100644 --- a/Data/Credit.csv +++ b/Data/Credit.csv @@ -1,401 +1,401 @@ -"","Income","Limit","Rating","Cards","Age","Education","Gender","Student","Married","Ethnicity","Balance" -"1",14.891,3606,283,2,34,11," Male","No","Yes","Caucasian",333 -"2",106.025,6645,483,3,82,15,"Female","Yes","Yes","Asian",903 -"3",104.593,7075,514,4,71,11," Male","No","No","Asian",580 -"4",148.924,9504,681,3,36,11,"Female","No","No","Asian",964 -"5",55.882,4897,357,2,68,16," Male","No","Yes","Caucasian",331 -"6",80.18,8047,569,4,77,10," Male","No","No","Caucasian",1151 -"7",20.996,3388,259,2,37,12,"Female","No","No","African American",203 -"8",71.408,7114,512,2,87,9," Male","No","No","Asian",872 -"9",15.125,3300,266,5,66,13,"Female","No","No","Caucasian",279 -"10",71.061,6819,491,3,41,19,"Female","Yes","Yes","African American",1350 -"11",63.095,8117,589,4,30,14," Male","No","Yes","Caucasian",1407 -"12",15.045,1311,138,3,64,16," Male","No","No","Caucasian",0 -"13",80.616,5308,394,1,57,7,"Female","No","Yes","Asian",204 -"14",43.682,6922,511,1,49,9," Male","No","Yes","Caucasian",1081 -"15",19.144,3291,269,2,75,13,"Female","No","No","African American",148 -"16",20.089,2525,200,3,57,15,"Female","No","Yes","African American",0 -"17",53.598,3714,286,3,73,17,"Female","No","Yes","African American",0 -"18",36.496,4378,339,3,69,15,"Female","No","Yes","Asian",368 -"19",49.57,6384,448,1,28,9,"Female","No","Yes","Asian",891 -"20",42.079,6626,479,2,44,9," Male","No","No","Asian",1048 -"21",17.7,2860,235,4,63,16,"Female","No","No","Asian",89 -"22",37.348,6378,458,1,72,17,"Female","No","No","Caucasian",968 -"23",20.103,2631,213,3,61,10," Male","No","Yes","African American",0 -"24",64.027,5179,398,5,48,8," Male","No","Yes","African American",411 -"25",10.742,1757,156,3,57,15,"Female","No","No","Caucasian",0 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diff --git a/Data/Hitters.csv b/Data/Hitters.csv index 72e54c5..1ad622c 100644 --- a/Data/Hitters.csv +++ b/Data/Hitters.csv @@ -1,323 +1,323 @@ -"","AtBat","Hits","HmRun","Runs","RBI","Walks","Years","CAtBat","CHits","CHmRun","CRuns","CRBI","CWalks","League","Division","PutOuts","Assists","Errors","Salary","NewLeague" -"-Andy Allanson",293,66,1,30,29,14,1,293,66,1,30,29,14,"A","E",446,33,20,NA,"A" -"-Alan Ashby",315,81,7,24,38,39,14,3449,835,69,321,414,375,"N","W",632,43,10,475,"N" -"-Alvin Davis",479,130,18,66,72,76,3,1624,457,63,224,266,263,"A","W",880,82,14,480,"A" -"-Andre Dawson",496,141,20,65,78,37,11,5628,1575,225,828,838,354,"N","E",200,11,3,500,"N" -"-Andres Galarraga",321,87,10,39,42,30,2,396,101,12,48,46,33,"N","E",805,40,4,91.5,"N" -"-Alfredo Griffin",594,169,4,74,51,35,11,4408,1133,19,501,336,194,"A","W",282,421,25,750,"A" -"-Al Newman",185,37,1,23,8,21,2,214,42,1,30,9,24,"N","E",76,127,7,70,"A" -"-Argenis Salazar",298,73,0,24,24,7,3,509,108,0,41,37,12,"A","W",121,283,9,100,"A" -"-Andres Thomas",323,81,6,26,32,8,2,341,86,6,32,34,8,"N","W",143,290,19,75,"N" -"-Andre Thornton",401,92,17,49,66,65,13,5206,1332,253,784,890,866,"A","E",0,0,0,1100,"A" -"-Alan Trammell",574,159,21,107,75,59,10,4631,1300,90,702,504,488,"A","E",238,445,22,517.143,"A" -"-Alex Trevino",202,53,4,31,26,27,9,1876,467,15,192,186,161,"N","W",304,45,11,512.5,"N" -"-Andy VanSlyke",418,113,13,48,61,47,4,1512,392,41,205,204,203,"N","E",211,11,7,550,"N" -"-Alan Wiggins",239,60,0,30,11,22,6,1941,510,4,309,103,207,"A","E",121,151,6,700,"A" -"-Bill Almon",196,43,7,29,27,30,13,3231,825,36,376,290,238,"N","E",80,45,8,240,"N" -"-Billy Beane",183,39,3,20,15,11,3,201,42,3,20,16,11,"A","W",118,0,0,NA,"A" -"-Buddy Bell",568,158,20,89,75,73,15,8068,2273,177,1045,993,732,"N","W",105,290,10,775,"N" -"-Buddy Biancalana",190,46,2,24,8,15,5,479,102,5,65,23,39,"A","W",102,177,16,175,"A" -"-Bruce Bochte",407,104,6,57,43,65,12,5233,1478,100,643,658,653,"A","W",912,88,9,NA,"A" -"-Bruce Bochy",127,32,8,16,22,14,8,727,180,24,67,82,56,"N","W",202,22,2,135,"N" -"-Barry Bonds",413,92,16,72,48,65,1,413,92,16,72,48,65,"N","E",280,9,5,100,"N" -"-Bobby Bonilla",426,109,3,55,43,62,1,426,109,3,55,43,62,"A","W",361,22,2,115,"N" -"-Bob Boone",22,10,1,4,2,1,6,84,26,2,9,9,3,"A","W",812,84,11,NA,"A" -"-Bob Brenly",472,116,16,60,62,74,6,1924,489,67,242,251,240,"N","W",518,55,3,600,"N" -"-Bill Buckner",629,168,18,73,102,40,18,8424,2464,164,1008,1072,402,"A","E",1067,157,14,776.667,"A" -"-Brett Butler",587,163,4,92,51,70,6,2695,747,17,442,198,317,"A","E",434,9,3,765,"A" -"-Bob Dernier",324,73,4,32,18,22,7,1931,491,13,291,108,180,"N","E",222,3,3,708.333,"N" -"-Bo Diaz",474,129,10,50,56,40,10,2331,604,61,246,327,166,"N","W",732,83,13,750,"N" -"-Bill Doran",550,152,6,92,37,81,5,2308,633,32,349,182,308,"N","W",262,329,16,625,"N" -"-Brian Downing",513,137,20,90,95,90,14,5201,1382,166,763,734,784,"A","W",267,5,3,900,"A" -"-Bobby Grich",313,84,9,42,30,39,17,6890,1833,224,1033,864,1087,"A","W",127,221,7,NA,"A" -"-Billy Hatcher",419,108,6,55,36,22,3,591,149,8,80,46,31,"N","W",226,7,4,110,"N" -"-Bob Horner",517,141,27,70,87,52,9,3571,994,215,545,652,337,"N","W",1378,102,8,NA,"N" -"-Brook Jacoby",583,168,17,83,80,56,5,1646,452,44,219,208,136,"A","E",109,292,25,612.5,"A" -"-Bob Kearney",204,49,6,23,25,12,7,1309,308,27,126,132,66,"A","W",419,46,5,300,"A" -"-Bill Madlock",379,106,10,38,60,30,14,6207,1906,146,859,803,571,"N","W",72,170,24,850,"N" -"-Bobby Meacham",161,36,0,19,10,17,4,1053,244,3,156,86,107,"A","E",70,149,12,NA,"A" -"-Bob Melvin",268,60,5,24,25,15,2,350,78,5,34,29,18,"N","W",442,59,6,90,"N" -"-Ben Oglivie",346,98,5,31,53,30,16,5913,1615,235,784,901,560,"A","E",0,0,0,NA,"A" -"-Bip Roberts",241,61,1,34,12,14,1,241,61,1,34,12,14,"N","W",166,172,10,NA,"N" -"-BillyJo Robidoux",181,41,1,15,21,33,2,232,50,4,20,29,45,"A","E",326,29,5,67.5,"A" -"-Bill Russell",216,54,0,21,18,15,18,7318,1926,46,796,627,483,"N","W",103,84,5,NA,"N" -"-Billy Sample",200,57,6,23,14,14,9,2516,684,46,371,230,195,"N","W",69,1,1,NA,"N" -"-Bill Schroeder",217,46,7,32,19,9,4,694,160,32,86,76,32,"A","E",307,25,1,180,"A" -"-Butch Wynegar",194,40,7,19,29,30,11,4183,1069,64,486,493,608,"A","E",325,22,2,NA,"A" -"-Chris Bando",254,68,2,28,26,22,6,999,236,21,108,117,118,"A","E",359,30,4,305,"A" -"-Chris Brown",416,132,7,57,49,33,3,932,273,24,113,121,80,"N","W",73,177,18,215,"N" -"-Carmen Castillo",205,57,8,34,32,9,5,756,192,32,117,107,51,"A","E",58,4,4,247.5,"A" -"-Cecil Cooper",542,140,12,46,75,41,16,7099,2130,235,987,1089,431,"A","E",697,61,9,NA,"A" -"-Chili Davis",526,146,13,71,70,84,6,2648,715,77,352,342,289,"N","W",303,9,9,815,"N" -"-Carlton Fisk",457,101,14,42,63,22,17,6521,1767,281,1003,977,619,"A","W",389,39,4,875,"A" -"-Curt Ford",214,53,2,30,29,23,2,226,59,2,32,32,27,"N","E",109,7,3,70,"N" -"-Cliff Johnson",19,7,0,1,2,1,4,41,13,1,3,4,4,"A","E",0,0,0,NA,"A" -"-Carney Lansford",591,168,19,80,72,39,9,4478,1307,113,634,563,319,"A","W",67,147,4,1200,"A" -"-Chet Lemon",403,101,12,45,53,39,12,5150,1429,166,747,666,526,"A","E",316,6,5,675,"A" -"-Candy Maldonado",405,102,18,49,85,20,6,950,231,29,99,138,64,"N","W",161,10,3,415,"N" -"-Carmelo Martinez",244,58,9,28,25,35,4,1335,333,49,164,179,194,"N","W",142,14,2,340,"N" -"-Charlie Moore",235,61,3,24,39,21,14,3926,1029,35,441,401,333,"A","E",425,43,4,NA,"A" -"-Craig Reynolds",313,78,6,32,41,12,12,3742,968,35,409,321,170,"N","W",106,206,7,416.667,"N" -"-Cal Ripken",627,177,25,98,81,70,6,3210,927,133,529,472,313,"A","E",240,482,13,1350,"A" -"-Cory Snyder",416,113,24,58,69,16,1,416,113,24,58,69,16,"A","E",203,70,10,90,"A" -"-Chris Speier",155,44,6,21,23,15,16,6631,1634,98,698,661,777,"N","E",53,88,3,275,"N" -"-Curt Wilkerson",236,56,0,27,15,11,4,1115,270,1,116,64,57,"A","W",125,199,13,230,"A" -"-Dave Anderson",216,53,1,31,15,22,4,926,210,9,118,69,114,"N","W",73,152,11,225,"N" -"-Doug Baker",24,3,0,1,0,2,3,159,28,0,20,12,9,"A","W",80,4,0,NA,"A" -"-Don Baylor",585,139,31,93,94,62,17,7546,1982,315,1141,1179,727,"A","E",0,0,0,950,"A" -"-Dann Bilardello",191,37,4,12,17,14,4,773,163,16,61,74,52,"N","E",391,38,8,NA,"N" -"-Daryl Boston",199,53,5,29,22,21,3,514,120,8,57,40,39,"A","W",152,3,5,75,"A" -"-Darnell Coles",521,142,20,67,86,45,4,815,205,22,99,103,78,"A","E",107,242,23,105,"A" -"-Dave Collins",419,113,1,44,27,44,12,4484,1231,32,612,344,422,"A","E",211,2,1,NA,"A" -"-Dave Concepcion",311,81,3,42,30,26,17,8247,2198,100,950,909,690,"N","W",153,223,10,320,"N" -"-Darren Daulton",138,31,8,18,21,38,3,244,53,12,33,32,55,"N","E",244,21,4,NA,"N" -"-Doug DeCinces",512,131,26,69,96,52,14,5347,1397,221,712,815,548,"A","W",119,216,12,850,"A" -"-Darrell Evans",507,122,29,78,85,91,18,7761,1947,347,1175,1152,1380,"A","E",808,108,2,535,"A" -"-Dwight Evans",529,137,26,86,97,97,15,6661,1785,291,1082,949,989,"A","E",280,10,5,933.333,"A" -"-Damaso Garcia",424,119,6,57,46,13,9,3651,1046,32,461,301,112,"A","E",224,286,8,850,"N" -"-Dan Gladden",351,97,4,55,29,39,4,1258,353,16,196,110,117,"N","W",226,7,3,210,"A" -"-Danny Heep",195,55,5,24,33,30,8,1313,338,25,144,149,153,"N","E",83,2,1,NA,"N" -"-Dave Henderson",388,103,15,59,47,39,6,2174,555,80,285,274,186,"A","W",182,9,4,325,"A" -"-Donnie Hill",339,96,4,37,29,23,4,1064,290,11,123,108,55,"A","W",104,213,9,275,"A" -"-Dave Kingman",561,118,35,70,94,33,16,6677,1575,442,901,1210,608,"A","W",463,32,8,NA,"A" -"-Davey Lopes",255,70,7,49,35,43,15,6311,1661,154,1019,608,820,"N","E",51,54,8,450,"N" -"-Don Mattingly",677,238,31,117,113,53,5,2223,737,93,349,401,171,"A","E",1377,100,6,1975,"A" -"-Darryl Motley",227,46,7,23,20,12,5,1325,324,44,156,158,67,"A","W",92,2,2,NA,"A" -"-Dale Murphy",614,163,29,89,83,75,11,5017,1388,266,813,822,617,"N","W",303,6,6,1900,"N" -"-Dwayne Murphy",329,83,9,50,39,56,9,3828,948,145,575,528,635,"A","W",276,6,2,600,"A" -"-Dave Parker",637,174,31,89,116,56,14,6727,2024,247,978,1093,495,"N","W",278,9,9,1041.667,"N" -"-Dan Pasqua",280,82,16,44,45,47,2,428,113,25,61,70,63,"A","E",148,4,2,110,"A" -"-Darrell Porter",155,41,12,21,29,22,16,5409,1338,181,746,805,875,"A","W",165,9,1,260,"A" -"-Dick Schofield",458,114,13,67,57,48,4,1350,298,28,160,123,122,"A","W",246,389,18,475,"A" -"-Don Slaught",314,83,13,39,46,16,5,1457,405,28,156,159,76,"A","W",533,40,4,431.5,"A" -"-Darryl Strawberry",475,123,27,76,93,72,4,1810,471,108,292,343,267,"N","E",226,10,6,1220,"N" -"-Dale Sveum",317,78,7,35,35,32,1,317,78,7,35,35,32,"A","E",45,122,26,70,"A" -"-Danny Tartabull",511,138,25,76,96,61,3,592,164,28,87,110,71,"A","W",157,7,8,145,"A" -"-Dickie Thon",278,69,3,24,21,29,8,2079,565,32,258,192,162,"N","W",142,210,10,NA,"N" -"-Denny Walling",382,119,13,54,58,36,12,2133,594,41,287,294,227,"N","W",59,156,9,595,"N" -"-Dave Winfield",565,148,24,90,104,77,14,7287,2083,305,1135,1234,791,"A","E",292,9,5,1861.46,"A" -"-Enos Cabell",277,71,2,27,29,14,15,5952,1647,60,753,596,259,"N","W",360,32,5,NA,"N" -"-Eric Davis",415,115,27,97,71,68,3,711,184,45,156,119,99,"N","W",274,2,7,300,"N" -"-Eddie Milner",424,110,15,70,47,36,7,2130,544,38,335,174,258,"N","W",292,6,3,490,"N" -"-Eddie Murray",495,151,17,61,84,78,10,5624,1679,275,884,1015,709,"A","E",1045,88,13,2460,"A" -"-Ernest Riles",524,132,9,69,47,54,2,972,260,14,123,92,90,"A","E",212,327,20,NA,"A" -"-Ed Romero",233,49,2,41,23,18,8,1350,336,7,166,122,106,"A","E",102,132,10,375,"A" -"-Ernie Whitt",395,106,16,48,56,35,10,2303,571,86,266,323,248,"A","E",709,41,7,NA,"A" -"-Fred Lynn",397,114,23,67,67,53,13,5589,1632,241,906,926,716,"A","E",244,2,4,NA,"A" -"-Floyd Rayford",210,37,8,15,19,15,6,994,244,36,107,114,53,"A","E",40,115,15,NA,"A" -"-Franklin Stubbs",420,95,23,55,58,37,3,646,139,31,77,77,61,"N","W",206,10,7,NA,"N" -"-Frank White",566,154,22,76,84,43,14,6100,1583,131,743,693,300,"A","W",316,439,10,750,"A" -"-George Bell",641,198,31,101,108,41,5,2129,610,92,297,319,117,"A","E",269,17,10,1175,"A" -"-Glenn Braggs",215,51,4,19,18,11,1,215,51,4,19,18,11,"A","E",116,5,12,70,"A" -"-George Brett",441,128,16,70,73,80,14,6675,2095,209,1072,1050,695,"A","W",97,218,16,1500,"A" -"-Greg Brock",325,76,16,33,52,37,5,1506,351,71,195,219,214,"N","W",726,87,3,385,"A" -"-Gary Carter",490,125,24,81,105,62,13,6063,1646,271,847,999,680,"N","E",869,62,8,1925.571,"N" -"-Glenn Davis",574,152,31,91,101,64,3,985,260,53,148,173,95,"N","W",1253,111,11,215,"N" -"-George Foster",284,64,14,30,42,24,18,7023,1925,348,986,1239,666,"N","E",96,4,4,NA,"N" -"-Gary Gaetti",596,171,34,91,108,52,6,2862,728,107,361,401,224,"A","W",118,334,21,900,"A" -"-Greg Gagne",472,118,12,63,54,30,4,793,187,14,102,80,50,"A","W",228,377,26,155,"A" -"-George Hendrick",283,77,14,45,47,26,16,6840,1910,259,915,1067,546,"A","W",144,6,5,700,"A" -"-Glenn Hubbard",408,94,4,42,36,66,9,3573,866,59,429,365,410,"N","W",282,487,19,535,"N" -"-Garth Iorg",327,85,3,30,44,20,8,2140,568,16,216,208,93,"A","E",91,185,12,362.5,"A" -"-Gary Matthews",370,96,21,49,46,60,15,6986,1972,231,1070,955,921,"N","E",137,5,9,733.333,"N" -"-Graig Nettles",354,77,16,36,55,41,20,8716,2172,384,1172,1267,1057,"N","W",83,174,16,200,"N" -"-Gary Pettis",539,139,5,93,58,69,5,1469,369,12,247,126,198,"A","W",462,9,7,400,"A" -"-Gary Redus",340,84,11,62,33,47,5,1516,376,42,284,141,219,"N","E",185,8,4,400,"A" -"-Garry Templeton",510,126,2,42,44,35,11,5562,1578,44,703,519,256,"N","W",207,358,20,737.5,"N" -"-Gorman Thomas",315,59,16,45,36,58,13,4677,1051,268,681,782,697,"A","W",0,0,0,NA,"A" -"-Greg Walker",282,78,13,37,51,29,5,1649,453,73,211,280,138,"A","W",670,57,5,500,"A" -"-Gary Ward",380,120,5,54,51,31,8,3118,900,92,444,419,240,"A","W",237,8,1,600,"A" -"-Glenn Wilson",584,158,15,70,84,42,5,2358,636,58,265,316,134,"N","E",331,20,4,662.5,"N" -"-Harold Baines",570,169,21,72,88,38,7,3754,1077,140,492,589,263,"A","W",295,15,5,950,"A" -"-Hubie Brooks",306,104,14,50,58,25,7,2954,822,55,313,377,187,"N","E",116,222,15,750,"N" -"-Howard Johnson",220,54,10,30,39,31,5,1185,299,40,145,154,128,"N","E",50,136,20,297.5,"N" -"-Hal McRae",278,70,7,22,37,18,18,7186,2081,190,935,1088,643,"A","W",0,0,0,325,"A" -"-Harold Reynolds",445,99,1,46,24,29,4,618,129,1,72,31,48,"A","W",278,415,16,87.5,"A" -"-Harry Spilman",143,39,5,18,30,15,9,639,151,16,80,97,61,"N","W",138,15,1,175,"N" -"-Herm Winningham",185,40,4,23,11,18,3,524,125,7,58,37,47,"N","E",97,2,2,90,"N" -"-Jesse Barfield",589,170,40,107,108,69,6,2325,634,128,371,376,238,"A","E",368,20,3,1237.5,"A" -"-Juan Beniquez",343,103,6,48,36,40,15,4338,1193,70,581,421,325,"A","E",211,56,13,430,"A" -"-Juan Bonilla",284,69,1,33,18,25,5,1407,361,6,139,98,111,"A","E",122,140,5,NA,"N" -"-John Cangelosi",438,103,2,65,32,71,2,440,103,2,67,32,71,"A","W",276,7,9,100,"N" -"-Jose Canseco",600,144,33,85,117,65,2,696,173,38,101,130,69,"A","W",319,4,14,165,"A" -"-Joe Carter",663,200,29,108,121,32,4,1447,404,57,210,222,68,"A","E",241,8,6,250,"A" -"-Jack Clark",232,55,9,34,23,45,12,4405,1213,194,702,705,625,"N","E",623,35,3,1300,"N" -"-Jose Cruz",479,133,10,48,72,55,17,7472,2147,153,980,1032,854,"N","W",237,5,4,773.333,"N" -"-Julio Cruz",209,45,0,38,19,42,10,3859,916,23,557,279,478,"A","W",132,205,5,NA,"A" -"-Jody Davis",528,132,21,61,74,41,6,2641,671,97,273,383,226,"N","E",885,105,8,1008.333,"N" -"-Jim Dwyer",160,39,8,18,31,22,14,2128,543,56,304,268,298,"A","E",33,3,0,275,"A" -"-Julio Franco",599,183,10,80,74,32,5,2482,715,27,330,326,158,"A","E",231,374,18,775,"A" -"-Jim Gantner",497,136,7,58,38,26,11,3871,1066,40,450,367,241,"A","E",304,347,10,850,"A" -"-Johnny Grubb",210,70,13,32,51,28,15,4040,1130,97,544,462,551,"A","E",0,0,0,365,"A" -"-Jerry Hairston",225,61,5,32,26,26,11,1568,408,25,202,185,257,"A","W",132,9,0,NA,"A" -"-Jack Howell",151,41,4,26,21,19,2,288,68,9,45,39,35,"A","W",28,56,2,95,"A" -"-John Kruk",278,86,4,33,38,45,1,278,86,4,33,38,45,"N","W",102,4,2,110,"N" -"-Jeffrey Leonard",341,95,6,48,42,20,10,2964,808,81,379,428,221,"N","W",158,4,5,100,"N" -"-Jim Morrison",537,147,23,58,88,47,10,2744,730,97,302,351,174,"N","E",92,257,20,277.5,"N" -"-John Moses",399,102,3,56,34,34,5,670,167,4,89,48,54,"A","W",211,9,3,80,"A" -"-Jerry Mumphrey",309,94,5,37,32,26,13,4618,1330,57,616,522,436,"N","E",161,3,3,600,"N" -"-Joe Orsulak",401,100,2,60,19,28,4,876,238,2,126,44,55,"N","E",193,11,4,NA,"N" -"-Jorge Orta",336,93,9,35,46,23,15,5779,1610,128,730,741,497,"A","W",0,0,0,NA,"A" -"-Jim Presley",616,163,27,83,107,32,3,1437,377,65,181,227,82,"A","W",110,308,15,200,"A" -"-Jamie Quirk",219,47,8,24,26,17,12,1188,286,23,100,125,63,"A","W",260,58,4,NA,"A" -"-Johnny Ray",579,174,7,67,78,58,6,3053,880,32,366,337,218,"N","E",280,479,5,657,"N" -"-Jeff Reed",165,39,2,13,9,16,3,196,44,2,18,10,18,"A","W",332,19,2,75,"N" -"-Jim Rice",618,200,20,98,110,62,13,7127,2163,351,1104,1289,564,"A","E",330,16,8,2412.5,"A" -"-Jerry Royster",257,66,5,31,26,32,14,3910,979,33,518,324,382,"N","W",87,166,14,250,"A" -"-John Russell",315,76,13,35,60,25,3,630,151,24,68,94,55,"N","E",498,39,13,155,"N" -"-Juan Samuel",591,157,16,90,78,26,4,2020,541,52,310,226,91,"N","E",290,440,25,640,"N" -"-John Shelby",404,92,11,54,49,18,6,1354,325,30,188,135,63,"A","E",222,5,5,300,"A" -"-Joel Skinner",315,73,5,23,37,16,4,450,108,6,38,46,28,"A","W",227,15,3,110,"A" -"-Jeff Stone",249,69,6,32,19,20,4,702,209,10,97,48,44,"N","E",103,8,2,NA,"N" -"-Jim Sundberg",429,91,12,41,42,57,13,5590,1397,83,578,579,644,"A","W",686,46,4,825,"N" -"-Jim Traber",212,54,13,28,44,18,2,233,59,13,31,46,20,"A","E",243,23,5,NA,"A" -"-Jose Uribe",453,101,3,46,43,61,3,948,218,6,96,72,91,"N","W",249,444,16,195,"N" -"-Jerry Willard",161,43,4,17,26,22,3,707,179,21,77,99,76,"A","W",300,12,2,NA,"A" -"-Joel Youngblood",184,47,5,20,28,18,11,3327,890,74,419,382,304,"N","W",49,2,0,450,"N" -"-Kevin Bass",591,184,20,83,79,38,5,1689,462,40,219,195,82,"N","W",303,12,5,630,"N" -"-Kal Daniels",181,58,6,34,23,22,1,181,58,6,34,23,22,"N","W",88,0,3,86.5,"N" -"-Kirk Gibson",441,118,28,84,86,68,8,2723,750,126,433,420,309,"A","E",190,2,2,1300,"A" -"-Ken Griffey",490,150,21,69,58,35,14,6126,1839,121,983,707,600,"A","E",96,5,3,1000,"N" -"-Keith Hernandez",551,171,13,94,83,94,13,6090,1840,128,969,900,917,"N","E",1199,149,5,1800,"N" -"-Kent Hrbek",550,147,29,85,91,71,6,2816,815,117,405,474,319,"A","W",1218,104,10,1310,"A" -"-Ken Landreaux",283,74,4,34,29,22,10,3919,1062,85,505,456,283,"N","W",145,5,7,737.5,"N" -"-Kevin McReynolds",560,161,26,89,96,66,4,1789,470,65,233,260,155,"N","W",332,9,8,625,"N" -"-Kevin Mitchell",328,91,12,51,43,33,2,342,94,12,51,44,33,"N","E",145,59,8,125,"N" -"-Keith Moreland",586,159,12,72,79,53,9,3082,880,83,363,477,295,"N","E",181,13,4,1043.333,"N" -"-Ken Oberkfell",503,136,5,62,48,83,10,3423,970,20,408,303,414,"N","W",65,258,8,725,"N" -"-Ken Phelps",344,85,24,69,64,88,7,911,214,64,150,156,187,"A","W",0,0,0,300,"A" -"-Kirby Puckett",680,223,31,119,96,34,3,1928,587,35,262,201,91,"A","W",429,8,6,365,"A" -"-Kurt Stillwell",279,64,0,31,26,30,1,279,64,0,31,26,30,"N","W",107,205,16,75,"N" -"-Leon Durham",484,127,20,66,65,67,7,3006,844,116,436,458,377,"N","E",1231,80,7,1183.333,"N" -"-Len Dykstra",431,127,8,77,45,58,2,667,187,9,117,64,88,"N","E",283,8,3,202.5,"N" -"-Larry Herndon",283,70,8,33,37,27,12,4479,1222,94,557,483,307,"A","E",156,2,2,225,"A" -"-Lee Lacy",491,141,11,77,47,37,15,4291,1240,84,615,430,340,"A","E",239,8,2,525,"A" -"-Len Matuszek",199,52,9,26,28,21,6,805,191,30,113,119,87,"N","W",235,22,5,265,"N" -"-Lloyd Moseby",589,149,21,89,86,64,7,3558,928,102,513,471,351,"A","E",371,6,6,787.5,"A" -"-Lance Parrish",327,84,22,53,62,38,10,4273,1123,212,577,700,334,"A","E",483,48,6,800,"N" -"-Larry Parrish",464,128,28,67,94,52,13,5829,1552,210,740,840,452,"A","W",0,0,0,587.5,"A" -"-Luis Rivera",166,34,0,20,13,17,1,166,34,0,20,13,17,"N","E",64,119,9,NA,"N" -"-Larry Sheets",338,92,18,42,60,21,3,682,185,36,88,112,50,"A","E",0,0,0,145,"A" -"-Lonnie Smith",508,146,8,80,44,46,9,3148,915,41,571,289,326,"A","W",245,5,9,NA,"A" -"-Lou Whitaker",584,157,20,95,73,63,10,4704,1320,93,724,522,576,"A","E",276,421,11,420,"A" -"-Mike Aldrete",216,54,2,27,25,33,1,216,54,2,27,25,33,"N","W",317,36,1,75,"N" -"-Marty Barrett",625,179,4,94,60,65,5,1696,476,12,216,163,166,"A","E",303,450,14,575,"A" -"-Mike Brown",243,53,4,18,26,27,4,853,228,23,101,110,76,"N","E",107,3,3,NA,"N" -"-Mike Davis",489,131,19,77,55,34,7,2051,549,62,300,263,153,"A","W",310,9,9,780,"A" -"-Mike Diaz",209,56,12,22,36,19,2,216,58,12,24,37,19,"N","E",201,6,3,90,"N" -"-Mariano Duncan",407,93,8,47,30,30,2,969,230,14,121,69,68,"N","W",172,317,25,150,"N" -"-Mike Easler",490,148,14,64,78,49,13,3400,1000,113,445,491,301,"A","E",0,0,0,700,"N" -"-Mike Fitzgerald",209,59,6,20,37,27,4,884,209,14,66,106,92,"N","E",415,35,3,NA,"N" -"-Mel Hall",442,131,18,68,77,33,6,1416,398,47,210,203,136,"A","E",233,7,7,550,"A" -"-Mickey Hatcher",317,88,3,40,32,19,8,2543,715,28,269,270,118,"A","W",220,16,4,NA,"A" -"-Mike Heath",288,65,8,30,36,27,9,2815,698,55,315,325,189,"N","E",259,30,10,650,"A" -"-Mike Kingery",209,54,3,25,14,12,1,209,54,3,25,14,12,"A","W",102,6,3,68,"A" -"-Mike LaValliere",303,71,3,18,30,36,3,344,76,3,20,36,45,"N","E",468,47,6,100,"N" -"-Mike Marshall",330,77,19,47,53,27,6,1928,516,90,247,288,161,"N","W",149,8,6,670,"N" -"-Mike Pagliarulo",504,120,28,71,71,54,3,1085,259,54,150,167,114,"A","E",103,283,19,175,"A" -"-Mark Salas",258,60,8,28,33,18,3,638,170,17,80,75,36,"A","W",358,32,8,137,"A" -"-Mike Schmidt",20,1,0,0,0,0,2,41,9,2,6,7,4,"N","E",78,220,6,2127.333,"N" -"-Mike Scioscia",374,94,5,36,26,62,7,1968,519,26,181,199,288,"N","W",756,64,15,875,"N" -"-Mickey Tettleton",211,43,10,26,35,39,3,498,116,14,59,55,78,"A","W",463,32,8,120,"A" -"-Milt Thompson",299,75,6,38,23,26,3,580,160,8,71,33,44,"N","E",212,1,2,140,"N" -"-Mitch Webster",576,167,8,89,49,57,4,822,232,19,132,83,79,"N","E",325,12,8,210,"N" -"-Mookie Wilson",381,110,9,61,45,32,7,3015,834,40,451,249,168,"N","E",228,7,5,800,"N" -"-Marvell Wynne",288,76,7,34,37,15,4,1644,408,16,198,120,113,"N","W",203,3,3,240,"N" -"-Mike Young",369,93,9,43,42,49,5,1258,323,54,181,177,157,"A","E",149,1,6,350,"A" -"-Nick Esasky",330,76,12,35,41,47,4,1367,326,55,167,198,167,"N","W",512,30,5,NA,"N" -"-Ozzie Guillen",547,137,2,58,47,12,2,1038,271,3,129,80,24,"A","W",261,459,22,175,"A" -"-Oddibe McDowell",572,152,18,105,49,65,2,978,249,36,168,91,101,"A","W",325,13,3,200,"A" -"-Omar Moreno",359,84,4,46,27,21,12,4992,1257,37,699,386,387,"N","W",151,8,5,NA,"N" -"-Ozzie Smith",514,144,0,67,54,79,9,4739,1169,13,583,374,528,"N","E",229,453,15,1940,"N" -"-Ozzie Virgil",359,80,15,45,48,63,7,1493,359,61,176,202,175,"N","W",682,93,13,700,"N" -"-Phil Bradley",526,163,12,88,50,77,4,1556,470,38,245,167,174,"A","W",250,11,1,750,"A" -"-Phil Garner",313,83,9,43,41,30,14,5885,1543,104,751,714,535,"N","W",58,141,23,450,"N" -"-Pete Incaviglia",540,135,30,82,88,55,1,540,135,30,82,88,55,"A","W",157,6,14,172,"A" -"-Paul Molitor",437,123,9,62,55,40,9,4139,1203,79,676,390,364,"A","E",82,170,15,1260,"A" -"-Pete O'Brien",551,160,23,86,90,87,5,2235,602,75,278,328,273,"A","W",1224,115,11,NA,"A" -"-Pete Rose",237,52,0,15,25,30,24,14053,4256,160,2165,1314,1566,"N","W",523,43,6,750,"N" -"-Pat Sheridan",236,56,6,41,19,21,5,1257,329,24,166,125,105,"A","E",172,1,4,190,"A" -"-Pat Tabler",473,154,6,61,48,29,6,1966,566,29,250,252,178,"A","E",846,84,9,580,"A" -"-Rafael Belliard",309,72,0,33,31,26,5,354,82,0,41,32,26,"N","E",117,269,12,130,"N" -"-Rick Burleson",271,77,5,35,29,33,12,4933,1358,48,630,435,403,"A","W",62,90,3,450,"A" -"-Randy Bush",357,96,7,50,45,39,5,1394,344,43,178,192,136,"A","W",167,2,4,300,"A" -"-Rick Cerone",216,56,4,22,18,15,12,2796,665,43,266,304,198,"A","E",391,44,4,250,"A" -"-Ron Cey",256,70,13,42,36,44,16,7058,1845,312,965,1128,990,"N","E",41,118,8,1050,"A" -"-Rob Deer",466,108,33,75,86,72,3,652,142,44,102,109,102,"A","E",286,8,8,215,"A" -"-Rick Dempsey",327,68,13,42,29,45,18,3949,939,78,438,380,466,"A","E",659,53,7,400,"A" -"-Rich Gedman",462,119,16,49,65,37,7,2131,583,69,244,288,150,"A","E",866,65,6,NA,"A" -"-Ron Hassey",341,110,9,45,49,46,9,2331,658,50,249,322,274,"A","E",251,9,4,560,"A" -"-Rickey Henderson",608,160,28,130,74,89,8,4071,1182,103,862,417,708,"A","E",426,4,6,1670,"A" -"-Reggie Jackson",419,101,18,65,58,92,20,9528,2510,548,1509,1659,1342,"A","W",0,0,0,487.5,"A" -"-Ricky Jones",33,6,0,2,4,7,1,33,6,0,2,4,7,"A","W",205,5,4,NA,"A" -"-Ron Kittle",376,82,21,42,60,35,5,1770,408,115,238,299,157,"A","W",0,0,0,425,"A" -"-Ray Knight",486,145,11,51,76,40,11,3967,1102,67,410,497,284,"N","E",88,204,16,500,"A" -"-Randy Kutcher",186,44,7,28,16,11,1,186,44,7,28,16,11,"N","W",99,3,1,NA,"N" -"-Rudy Law",307,80,1,42,36,29,7,2421,656,18,379,198,184,"A","W",145,2,2,NA,"A" -"-Rick Leach",246,76,5,35,39,13,6,912,234,12,102,96,80,"A","E",44,0,1,250,"A" -"-Rick Manning",205,52,8,31,27,17,12,5134,1323,56,643,445,459,"A","E",155,3,2,400,"A" -"-Rance Mulliniks",348,90,11,50,45,43,10,2288,614,43,295,273,269,"A","E",60,176,6,450,"A" -"-Ron Oester",523,135,8,52,44,52,9,3368,895,39,377,284,296,"N","W",367,475,19,750,"N" -"-Rey Quinones",312,68,2,32,22,24,1,312,68,2,32,22,24,"A","E",86,150,15,70,"A" -"-Rafael Ramirez",496,119,8,57,33,21,7,3358,882,36,365,280,165,"N","W",155,371,29,875,"N" -"-Ronn Reynolds",126,27,3,8,10,5,4,239,49,3,16,13,14,"N","E",190,2,9,190,"N" -"-Ron Roenicke",275,68,5,42,42,61,6,961,238,16,128,104,172,"N","E",181,3,2,191,"N" -"-Ryne Sandberg",627,178,14,68,76,46,6,3146,902,74,494,345,242,"N","E",309,492,5,740,"N" -"-Rafael Santana",394,86,1,38,28,36,4,1089,267,3,94,71,76,"N","E",203,369,16,250,"N" -"-Rick Schu",208,57,8,32,25,18,3,653,170,17,98,54,62,"N","E",42,94,13,140,"N" -"-Ruben Sierra",382,101,16,50,55,22,1,382,101,16,50,55,22,"A","W",200,7,6,97.5,"A" -"-Roy Smalley",459,113,20,59,57,68,12,5348,1369,155,713,660,735,"A","W",0,0,0,740,"A" -"-Robby Thompson",549,149,7,73,47,42,1,549,149,7,73,47,42,"N","W",255,450,17,140,"N" -"-Rob Wilfong",288,63,3,25,33,16,10,2682,667,38,315,259,204,"A","W",135,257,7,341.667,"A" -"-Reggie Williams",303,84,4,35,32,23,2,312,87,4,39,32,23,"N","W",179,5,3,NA,"N" -"-Robin Yount",522,163,9,82,46,62,13,7037,2019,153,1043,827,535,"A","E",352,9,1,1000,"A" -"-Steve Balboni",512,117,29,54,88,43,6,1750,412,100,204,276,155,"A","W",1236,98,18,100,"A" -"-Scott Bradley",220,66,5,20,28,13,3,290,80,5,27,31,15,"A","W",281,21,3,90,"A" -"-Sid Bream",522,140,16,73,77,60,4,730,185,22,93,106,86,"N","E",1320,166,17,200,"N" -"-Steve Buechele",461,112,18,54,54,35,2,680,160,24,76,75,49,"A","W",111,226,11,135,"A" -"-Shawon Dunston",581,145,17,66,68,21,2,831,210,21,106,86,40,"N","E",320,465,32,155,"N" -"-Scott Fletcher",530,159,3,82,50,47,6,1619,426,11,218,149,163,"A","W",196,354,15,475,"A" -"-Steve Garvey",557,142,21,58,81,23,18,8759,2583,271,1138,1299,478,"N","W",1160,53,7,1450,"N" -"-Steve Jeltz",439,96,0,44,36,65,4,711,148,1,68,56,99,"N","E",229,406,22,150,"N" -"-Steve Lombardozzi",453,103,8,53,33,52,2,507,123,8,63,39,58,"A","W",289,407,6,105,"A" -"-Spike Owen",528,122,1,67,45,51,4,1716,403,12,211,146,155,"A","W",209,372,17,350,"A" -"-Steve Sax",633,210,6,91,56,59,6,3070,872,19,420,230,274,"N","W",367,432,16,90,"N" -"-Tony Armas",16,2,0,1,0,0,2,28,4,0,1,0,0,"A","E",247,4,8,NA,"A" -"-Tony Bernazard",562,169,17,88,73,53,8,3181,841,61,450,342,373,"A","E",351,442,17,530,"A" -"-Tom 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+600,139,0,94,29,60,2,1236,309,1,201,69,110,"N","E",300,12,9,160,"N" +610,186,19,107,98,74,6,2728,753,69,399,366,286,"N","E",1182,96,13,1300,"N" +360,81,5,37,44,37,7,2268,566,41,279,257,246,"N","E",170,284,3,525,"N" +387,124,1,67,27,36,7,1775,506,6,272,125,194,"N","E",186,290,17,550,"N" +580,207,8,107,71,105,5,2778,978,32,474,322,417,"A","E",121,267,19,1600,"A" +408,117,11,66,41,34,1,408,117,11,66,41,34,"N","W",942,72,11,120,"N" +593,172,22,82,100,57,1,593,172,22,82,100,57,"A","W",1222,139,15,165,"A" +221,53,2,21,23,22,8,1063,283,15,107,124,106,"N","E",325,58,6,NA,"N" +497,127,7,65,48,37,5,2703,806,32,379,311,138,"N","E",325,9,3,700,"N" +492,136,5,76,50,94,12,5511,1511,39,897,451,875,"A","E",313,381,20,875,"A" +475,126,3,61,43,52,6,1700,433,7,217,93,146,"A","W",37,113,7,385,"A" +573,144,9,85,60,78,8,3198,857,97,470,420,332,"A","E",1314,131,12,960,"A" +631,170,9,77,44,31,11,4908,1457,30,775,357,249,"A","W",408,4,3,1000,"A" diff --git a/Data/Hitters_X_test.csv b/Data/Hitters_X_test.csv deleted file mode 100644 index 2dfc13e..0000000 --- a/Data/Hitters_X_test.csv +++ /dev/null @@ -1,133 +0,0 @@ -"","AtBat","Hits","HmRun","Runs","RBI","Walks","Years","CAtBat","CHits","CHmRun","CRuns","CRBI","CWalks","LeagueN","DivisionW","PutOuts","Assists","Errors","NewLeagueN" -"-Alan Ashby",315,81,7,24,38,39,14,3449,835,69,321,414,375,1,1,632,43,10,1 -"-Andre Dawson",496,141,20,65,78,37,11,5628,1575,225,828,838,354,1,0,200,11,3,1 -"-Alfredo Griffin",594,169,4,74,51,35,11,4408,1133,19,501,336,194,0,1,282,421,25,0 -"-Argenis Salazar",298,73,0,24,24,7,3,509,108,0,41,37,12,0,1,121,283,9,0 -"-Andres Thomas",323,81,6,26,32,8,2,341,86,6,32,34,8,1,1,143,290,19,1 -"-Andre Thornton",401,92,17,49,66,65,13,5206,1332,253,784,890,866,0,0,0,0,0,0 -"-Alan Trammell",574,159,21,107,75,59,10,4631,1300,90,702,504,488,0,0,238,445,22,0 -"-Andy VanSlyke",418,113,13,48,61,47,4,1512,392,41,205,204,203,1,0,211,11,7,1 -"-Alan Wiggins",239,60,0,30,11,22,6,1941,510,4,309,103,207,0,0,121,151,6,0 -"-Bill Almon",196,43,7,29,27,30,13,3231,825,36,376,290,238,1,0,80,45,8,1 -"-Barry Bonds",413,92,16,72,48,65,1,413,92,16,72,48,65,1,0,280,9,5,1 -"-Bobby Bonilla",426,109,3,55,43,62,1,426,109,3,55,43,62,0,1,361,22,2,1 -"-Bob Brenly",472,116,16,60,62,74,6,1924,489,67,242,251,240,1,1,518,55,3,1 -"-Bo Diaz",474,129,10,50,56,40,10,2331,604,61,246,327,166,1,1,732,83,13,1 -"-Brian Downing",513,137,20,90,95,90,14,5201,1382,166,763,734,784,0,1,267,5,3,0 -"-Billy Hatcher",419,108,6,55,36,22,3,591,149,8,80,46,31,1,1,226,7,4,1 -"-Brook Jacoby",583,168,17,83,80,56,5,1646,452,44,219,208,136,0,0,109,292,25,0 -"-Bill Madlock",379,106,10,38,60,30,14,6207,1906,146,859,803,571,1,1,72,170,24,1 -"-BillyJo Robidoux",181,41,1,15,21,33,2,232,50,4,20,29,45,0,0,326,29,5,0 -"-Bill Schroeder",217,46,7,32,19,9,4,694,160,32,86,76,32,0,0,307,25,1,0 -"-Chris Brown",416,132,7,57,49,33,3,932,273,24,113,121,80,1,1,73,177,18,1 -"-Carmen Castillo",205,57,8,34,32,9,5,756,192,32,117,107,51,0,0,58,4,4,0 -"-Carlton Fisk",457,101,14,42,63,22,17,6521,1767,281,1003,977,619,0,1,389,39,4,0 -"-Curt Ford",214,53,2,30,29,23,2,226,59,2,32,32,27,1,0,109,7,3,1 -"-Carney Lansford",591,168,19,80,72,39,9,4478,1307,113,634,563,319,0,1,67,147,4,0 -"-Chet Lemon",403,101,12,45,53,39,12,5150,1429,166,747,666,526,0,0,316,6,5,0 -"-Cory Snyder",416,113,24,58,69,16,1,416,113,24,58,69,16,0,0,203,70,10,0 -"-Chris Speier",155,44,6,21,23,15,16,6631,1634,98,698,661,777,1,0,53,88,3,1 -"-Curt Wilkerson",236,56,0,27,15,11,4,1115,270,1,116,64,57,0,1,125,199,13,0 -"-Dave Anderson",216,53,1,31,15,22,4,926,210,9,118,69,114,1,1,73,152,11,1 -"-Don Baylor",585,139,31,93,94,62,17,7546,1982,315,1141,1179,727,0,0,0,0,0,0 -"-Daryl Boston",199,53,5,29,22,21,3,514,120,8,57,40,39,0,1,152,3,5,0 -"-Darrell Evans",507,122,29,78,85,91,18,7761,1947,347,1175,1152,1380,0,0,808,108,2,0 -"-Dwight Evans",529,137,26,86,97,97,15,6661,1785,291,1082,949,989,0,0,280,10,5,0 -"-Damaso Garcia",424,119,6,57,46,13,9,3651,1046,32,461,301,112,0,0,224,286,8,1 -"-Davey Lopes",255,70,7,49,35,43,15,6311,1661,154,1019,608,820,1,0,51,54,8,1 -"-Don Mattingly",677,238,31,117,113,53,5,2223,737,93,349,401,171,0,0,1377,100,6,0 -"-Dick Schofield",458,114,13,67,57,48,4,1350,298,28,160,123,122,0,1,246,389,18,0 -"-Danny Tartabull",511,138,25,76,96,61,3,592,164,28,87,110,71,0,1,157,7,8,0 -"-Dave Winfield",565,148,24,90,104,77,14,7287,2083,305,1135,1234,791,0,0,292,9,5,0 -"-Eddie Milner",424,110,15,70,47,36,7,2130,544,38,335,174,258,1,1,292,6,3,1 -"-Ed Romero",233,49,2,41,23,18,8,1350,336,7,166,122,106,0,0,102,132,10,0 -"-Frank White",566,154,22,76,84,43,14,6100,1583,131,743,693,300,0,1,316,439,10,0 -"-Glenn Braggs",215,51,4,19,18,11,1,215,51,4,19,18,11,0,0,116,5,12,0 -"-George Brett",441,128,16,70,73,80,14,6675,2095,209,1072,1050,695,0,1,97,218,16,0 -"-Gary Carter",490,125,24,81,105,62,13,6063,1646,271,847,999,680,1,0,869,62,8,1 -"-Glenn Davis",574,152,31,91,101,64,3,985,260,53,148,173,95,1,1,1253,111,11,1 -"-Gary Gaetti",596,171,34,91,108,52,6,2862,728,107,361,401,224,0,1,118,334,21,0 -"-Greg Gagne",472,118,12,63,54,30,4,793,187,14,102,80,50,0,1,228,377,26,0 -"-George Hendrick",283,77,14,45,47,26,16,6840,1910,259,915,1067,546,0,1,144,6,5,0 -"-Glenn Hubbard",408,94,4,42,36,66,9,3573,866,59,429,365,410,1,1,282,487,19,1 -"-Garth Iorg",327,85,3,30,44,20,8,2140,568,16,216,208,93,0,0,91,185,12,0 -"-Greg Walker",282,78,13,37,51,29,5,1649,453,73,211,280,138,0,1,670,57,5,0 -"-Harold Baines",570,169,21,72,88,38,7,3754,1077,140,492,589,263,0,1,295,15,5,0 -"-Harold Reynolds",445,99,1,46,24,29,4,618,129,1,72,31,48,0,1,278,415,16,0 -"-John Cangelosi",438,103,2,65,32,71,2,440,103,2,67,32,71,0,1,276,7,9,1 -"-Jose Canseco",600,144,33,85,117,65,2,696,173,38,101,130,69,0,1,319,4,14,0 -"-Jack Clark",232,55,9,34,23,45,12,4405,1213,194,702,705,625,1,0,623,35,3,1 -"-Jim Dwyer",160,39,8,18,31,22,14,2128,543,56,304,268,298,0,0,33,3,0,0 -"-Jim Gantner",497,136,7,58,38,26,11,3871,1066,40,450,367,241,0,0,304,347,10,0 -"-Jack Howell",151,41,4,26,21,19,2,288,68,9,45,39,35,0,1,28,56,2,0 -"-John Kruk",278,86,4,33,38,45,1,278,86,4,33,38,45,1,1,102,4,2,1 -"-Jeffrey Leonard",341,95,6,48,42,20,10,2964,808,81,379,428,221,1,1,158,4,5,1 -"-Jim Morrison",537,147,23,58,88,47,10,2744,730,97,302,351,174,1,0,92,257,20,1 -"-Jerry Mumphrey",309,94,5,37,32,26,13,4618,1330,57,616,522,436,1,0,161,3,3,1 -"-Johnny Ray",579,174,7,67,78,58,6,3053,880,32,366,337,218,1,0,280,479,5,1 -"-Jim Rice",618,200,20,98,110,62,13,7127,2163,351,1104,1289,564,0,0,330,16,8,0 -"-Jerry Royster",257,66,5,31,26,32,14,3910,979,33,518,324,382,1,1,87,166,14,0 -"-John Russell",315,76,13,35,60,25,3,630,151,24,68,94,55,1,0,498,39,13,1 -"-John Shelby",404,92,11,54,49,18,6,1354,325,30,188,135,63,0,0,222,5,5,0 -"-Jim Sundberg",429,91,12,41,42,57,13,5590,1397,83,578,579,644,0,1,686,46,4,1 -"-Joel Youngblood",184,47,5,20,28,18,11,3327,890,74,419,382,304,1,1,49,2,0,1 -"-Kal Daniels",181,58,6,34,23,22,1,181,58,6,34,23,22,1,1,88,0,3,1 -"-Kirk Gibson",441,118,28,84,86,68,8,2723,750,126,433,420,309,0,0,190,2,2,0 -"-Ken Griffey",490,150,21,69,58,35,14,6126,1839,121,983,707,600,0,0,96,5,3,1 -"-Kent Hrbek",550,147,29,85,91,71,6,2816,815,117,405,474,319,0,1,1218,104,10,0 -"-Keith Moreland",586,159,12,72,79,53,9,3082,880,83,363,477,295,1,0,181,13,4,1 -"-Ken Oberkfell",503,136,5,62,48,83,10,3423,970,20,408,303,414,1,1,65,258,8,1 -"-Ken Phelps",344,85,24,69,64,88,7,911,214,64,150,156,187,0,1,0,0,0,0 -"-Kirby Puckett",680,223,31,119,96,34,3,1928,587,35,262,201,91,0,1,429,8,6,0 -"-Larry Herndon",283,70,8,33,37,27,12,4479,1222,94,557,483,307,0,0,156,2,2,0 -"-Lloyd Moseby",589,149,21,89,86,64,7,3558,928,102,513,471,351,0,0,371,6,6,0 -"-Lance Parrish",327,84,22,53,62,38,10,4273,1123,212,577,700,334,0,0,483,48,6,1 -"-Larry Parrish",464,128,28,67,94,52,13,5829,1552,210,740,840,452,0,1,0,0,0,0 -"-Mike Aldrete",216,54,2,27,25,33,1,216,54,2,27,25,33,1,1,317,36,1,1 -"-Mariano Duncan",407,93,8,47,30,30,2,969,230,14,121,69,68,1,1,172,317,25,1 -"-Mike Easler",490,148,14,64,78,49,13,3400,1000,113,445,491,301,0,0,0,0,0,1 -"-Mike LaValliere",303,71,3,18,30,36,3,344,76,3,20,36,45,1,0,468,47,6,1 -"-Mike Pagliarulo",504,120,28,71,71,54,3,1085,259,54,150,167,114,0,0,103,283,19,0 -"-Mark Salas",258,60,8,28,33,18,3,638,170,17,80,75,36,0,1,358,32,8,0 -"-Mickey Tettleton",211,43,10,26,35,39,3,498,116,14,59,55,78,0,1,463,32,8,0 -"-Milt Thompson",299,75,6,38,23,26,3,580,160,8,71,33,44,1,0,212,1,2,1 -"-Marvell Wynne",288,76,7,34,37,15,4,1644,408,16,198,120,113,1,1,203,3,3,1 -"-Mike Young",369,93,9,43,42,49,5,1258,323,54,181,177,157,0,0,149,1,6,0 -"-Oddibe McDowell",572,152,18,105,49,65,2,978,249,36,168,91,101,0,1,325,13,3,0 -"-Pete Incaviglia",540,135,30,82,88,55,1,540,135,30,82,88,55,0,1,157,6,14,0 -"-Pete Rose",237,52,0,15,25,30,24,14053,4256,160,2165,1314,1566,1,1,523,43,6,1 -"-Pat Tabler",473,154,6,61,48,29,6,1966,566,29,250,252,178,0,0,846,84,9,0 -"-Rick Burleson",271,77,5,35,29,33,12,4933,1358,48,630,435,403,0,1,62,90,3,0 -"-Randy Bush",357,96,7,50,45,39,5,1394,344,43,178,192,136,0,1,167,2,4,0 -"-Rick Cerone",216,56,4,22,18,15,12,2796,665,43,266,304,198,0,0,391,44,4,0 -"-Ron Cey",256,70,13,42,36,44,16,7058,1845,312,965,1128,990,1,0,41,118,8,0 -"-Rob Deer",466,108,33,75,86,72,3,652,142,44,102,109,102,0,0,286,8,8,0 -"-Rick Dempsey",327,68,13,42,29,45,18,3949,939,78,438,380,466,0,0,659,53,7,0 -"-Ron Kittle",376,82,21,42,60,35,5,1770,408,115,238,299,157,0,1,0,0,0,0 -"-Rick Leach",246,76,5,35,39,13,6,912,234,12,102,96,80,0,0,44,0,1,0 -"-Rafael Ramirez",496,119,8,57,33,21,7,3358,882,36,365,280,165,1,1,155,371,29,1 -"-Rafael Santana",394,86,1,38,28,36,4,1089,267,3,94,71,76,1,0,203,369,16,1 -"-Ruben Sierra",382,101,16,50,55,22,1,382,101,16,50,55,22,0,1,200,7,6,0 -"-Roy Smalley",459,113,20,59,57,68,12,5348,1369,155,713,660,735,0,1,0,0,0,0 -"-Robby Thompson",549,149,7,73,47,42,1,549,149,7,73,47,42,1,1,255,450,17,1 -"-Rob Wilfong",288,63,3,25,33,16,10,2682,667,38,315,259,204,0,1,135,257,7,0 -"-Robin Yount",522,163,9,82,46,62,13,7037,2019,153,1043,827,535,0,0,352,9,1,0 -"-Steve Balboni",512,117,29,54,88,43,6,1750,412,100,204,276,155,0,1,1236,98,18,0 -"-Steve Buechele",461,112,18,54,54,35,2,680,160,24,76,75,49,0,1,111,226,11,0 -"-Scott Fletcher",530,159,3,82,50,47,6,1619,426,11,218,149,163,0,1,196,354,15,0 -"-Steve Jeltz",439,96,0,44,36,65,4,711,148,1,68,56,99,1,0,229,406,22,1 -"-Spike Owen",528,122,1,67,45,51,4,1716,403,12,211,146,155,0,1,209,372,17,0 -"-Tony Bernazard",562,169,17,88,73,53,8,3181,841,61,450,342,373,0,0,351,442,17,0 -"-Tom Brunansky",593,152,23,69,75,53,6,2765,686,133,369,384,321,0,1,315,10,6,0 -"-Terry Harper",265,68,8,26,30,29,7,1337,339,32,135,163,128,1,1,92,5,3,0 -"-Terry Pendleton",578,138,1,56,59,34,3,1399,357,7,149,161,87,1,0,133,371,20,1 -"-Tony Phillips",441,113,5,76,52,76,5,1546,397,17,226,149,191,0,1,160,290,11,0 -"-Terry Puhl",172,42,3,17,14,15,10,4086,1150,57,579,363,406,1,1,65,0,0,1 -"-Tim Teufel",279,69,4,35,31,32,4,1359,355,31,180,148,158,1,0,133,173,9,1 -"-Vince Coleman",600,139,0,94,29,60,2,1236,309,1,201,69,110,1,0,300,12,9,1 -"-Von Hayes",610,186,19,107,98,74,6,2728,753,69,399,366,286,1,0,1182,96,13,1 -"-Wally Backman",387,124,1,67,27,36,7,1775,506,6,272,125,194,1,0,186,290,17,1 -"-Wally Joyner",593,172,22,82,100,57,1,593,172,22,82,100,57,0,1,1222,139,15,0 -"-Willie Randolph",492,136,5,76,50,94,12,5511,1511,39,897,451,875,0,0,313,381,20,0 -"-Willie Upshaw",573,144,9,85,60,78,8,3198,857,97,470,420,332,0,0,1314,131,12,0 -"-Willie Wilson",631,170,9,77,44,31,11,4908,1457,30,775,357,249,0,1,408,4,3,0 diff --git a/Data/Hitters_X_train.csv b/Data/Hitters_X_train.csv deleted file mode 100644 index e382d91..0000000 --- a/Data/Hitters_X_train.csv +++ /dev/null @@ -1,132 +0,0 @@ -"","AtBat","Hits","HmRun","Runs","RBI","Walks","Years","CAtBat","CHits","CHmRun","CRuns","CRBI","CWalks","LeagueN","DivisionW","PutOuts","Assists","Errors","NewLeagueN" -"-Darryl Strawberry",475,123,27,76,93,72,4,1810,471,108,292,343,267,1,0,226,10,6,1 -"-Glenn Wilson",584,158,15,70,84,42,5,2358,636,58,265,316,134,1,0,331,20,4,1 -"-Leon Durham",484,127,20,66,65,67,7,3006,844,116,436,458,377,1,0,1231,80,7,1 -"-Tony Gwynn",642,211,14,107,59,52,5,2364,770,27,352,230,193,1,1,337,19,4,1 -"-Dave Concepcion",311,81,3,42,30,26,17,8247,2198,100,950,909,690,1,1,153,223,10,1 -"-Tom Brookens",281,76,3,42,25,20,8,2658,657,48,324,300,179,0,0,106,144,7,0 -"-Tim Laudner",193,47,10,21,29,24,6,1136,256,42,129,139,106,0,1,299,13,5,0 -"-Mike Marshall",330,77,19,47,53,27,6,1928,516,90,247,288,161,1,1,149,8,6,1 -"-Marty Barrett",625,179,4,94,60,65,5,1696,476,12,216,163,166,0,0,303,450,14,0 -"-Buddy Biancalana",190,46,2,24,8,15,5,479,102,5,65,23,39,0,1,102,177,16,0 -"-Willie McGee",497,127,7,65,48,37,5,2703,806,32,379,311,138,1,0,325,9,3,1 -"-Cal Ripken",627,177,25,98,81,70,6,3210,927,133,529,472,313,0,0,240,482,13,0 -"-Mike Schmidt",20,1,0,0,0,0,2,41,9,2,6,7,4,1,0,78,220,6,1 -"-Gary Ward",380,120,5,54,51,31,8,3118,900,92,444,419,240,0,1,237,8,1,0 -"-Rafael Belliard",309,72,0,33,31,26,5,354,82,0,41,32,26,1,0,117,269,12,1 -"-Jim Presley",616,163,27,83,107,32,3,1437,377,65,181,227,82,0,1,110,308,15,0 -"-Mookie Wilson",381,110,9,61,45,32,7,3015,834,40,451,249,168,1,0,228,7,5,1 -"-Tony Pena",510,147,10,56,52,53,7,2872,821,63,307,340,174,1,0,810,99,18,1 -"-Gary Redus",340,84,11,62,33,47,5,1516,376,42,284,141,219,1,0,185,8,4,0 -"-Pat Sheridan",236,56,6,41,19,21,5,1257,329,24,166,125,105,0,0,172,1,4,0 -"-Steve Lombardozzi",453,103,8,53,33,52,2,507,123,8,63,39,58,0,1,289,407,6,0 -"-Darnell Coles",521,142,20,67,86,45,4,815,205,22,99,103,78,0,0,107,242,23,0 -"-Larry Sheets",338,92,18,42,60,21,3,682,185,36,88,112,50,0,0,0,0,0,0 -"-Bob Melvin",268,60,5,24,25,15,2,350,78,5,34,29,18,1,1,442,59,6,1 -"-Dwayne Murphy",329,83,9,50,39,56,9,3828,948,145,575,528,635,0,1,276,6,2,0 -"-Graig Nettles",354,77,16,36,55,41,20,8716,2172,384,1172,1267,1057,1,1,83,174,16,1 -"-Andres Galarraga",321,87,10,39,42,30,2,396,101,12,48,46,33,1,0,805,40,4,1 -"-Gary Matthews",370,96,21,49,46,60,15,6986,1972,231,1070,955,921,1,0,137,5,9,1 -"-Rick Manning",205,52,8,31,27,17,12,5134,1323,56,643,445,459,0,0,155,3,2,0 -"-George Bell",641,198,31,101,108,41,5,2129,610,92,297,319,117,0,0,269,17,10,0 -"-Jody Davis",528,132,21,61,74,41,6,2641,671,97,273,383,226,1,0,885,105,8,1 -"-Keith Hernandez",551,171,13,94,83,94,13,6090,1840,128,969,900,917,1,0,1199,149,5,1 -"-Julio Franco",599,183,10,80,74,32,5,2482,715,27,330,326,158,0,0,231,374,18,0 -"-Carmelo Martinez",244,58,9,28,25,35,4,1335,333,49,164,179,194,1,1,142,14,2,1 -"-Tom Paciorek",213,61,4,17,22,3,17,4061,1145,83,488,491,244,0,1,178,45,4,0 -"-Lee Lacy",491,141,11,77,47,37,15,4291,1240,84,615,430,340,0,0,239,8,2,0 -"-Ozzie Guillen",547,137,2,58,47,12,2,1038,271,3,129,80,24,0,1,261,459,22,0 -"-Bill Doran",550,152,6,92,37,81,5,2308,633,32,349,182,308,1,1,262,329,16,1 -"-Mike Diaz",209,56,12,22,36,19,2,216,58,12,24,37,19,1,0,201,6,3,1 -"-Gary Pettis",539,139,5,93,58,69,5,1469,369,12,247,126,198,0,1,462,9,7,0 -"-Ozzie Virgil",359,80,15,45,48,63,7,1493,359,61,176,202,175,1,1,682,93,13,1 -"-Kevin Mitchell",328,91,12,51,43,33,2,342,94,12,51,44,33,1,0,145,59,8,1 -"-Mike Scioscia",374,94,5,36,26,62,7,1968,519,26,181,199,288,1,1,756,64,15,1 -"-John Moses",399,102,3,56,34,34,5,670,167,4,89,48,54,0,1,211,9,3,0 -"-Johnny Grubb",210,70,13,32,51,28,15,4040,1130,97,544,462,551,0,0,0,0,0,0 -"-Tim Wallach",480,112,18,50,71,44,7,3031,771,110,338,406,239,1,0,94,270,16,1 -"-Al Newman",185,37,1,23,8,21,2,214,42,1,30,9,24,1,0,76,127,7,0 -"-Harry Spilman",143,39,5,18,30,15,9,639,151,16,80,97,61,1,1,138,15,1,1 -"-Terry Kennedy",19,4,1,2,3,1,1,19,4,1,2,3,1,1,1,692,70,8,0 -"-Kurt Stillwell",279,64,0,31,26,30,1,279,64,0,31,26,30,1,1,107,205,16,1 -"-Hal McRae",278,70,7,22,37,18,18,7186,2081,190,935,1088,643,0,1,0,0,0,0 -"-Ozzie Smith",514,144,0,67,54,79,9,4739,1169,13,583,374,528,1,0,229,453,15,1 -"-Shawon Dunston",581,145,17,66,68,21,2,831,210,21,106,86,40,1,0,320,465,32,1 -"-Tito Landrum",205,43,2,24,17,20,7,854,219,12,105,99,71,1,0,131,6,1,1 -"-Buddy Bell",568,158,20,89,75,73,15,8068,2273,177,1045,993,732,1,1,105,290,10,1 -"-Bill Buckner",629,168,18,73,102,40,18,8424,2464,164,1008,1072,402,0,0,1067,157,14,0 -"-Dan Pasqua",280,82,16,44,45,47,2,428,113,25,61,70,63,0,0,148,4,2,0 -"-Juan Beniquez",343,103,6,48,36,40,15,4338,1193,70,581,421,325,0,0,211,56,13,0 -"-Kevin Bass",591,184,20,83,79,38,5,1689,462,40,219,195,82,1,1,303,12,5,1 -"-Greg Brock",325,76,16,33,52,37,5,1506,351,71,195,219,214,1,1,726,87,3,0 -"-Phil Garner",313,83,9,43,41,30,14,5885,1543,104,751,714,535,1,1,58,141,23,1 -"-Donnie Hill",339,96,4,37,29,23,4,1064,290,11,123,108,55,0,1,104,213,9,0 -"-Ron Roenicke",275,68,5,42,42,61,6,961,238,16,128,104,172,1,0,181,3,2,1 -"-Darrell Porter",155,41,12,21,29,22,16,5409,1338,181,746,805,875,0,1,165,9,1,0 -"-Juan Samuel",591,157,16,90,78,26,4,2020,541,52,310,226,91,1,0,290,440,25,1 -"-Ronn Reynolds",126,27,3,8,10,5,4,239,49,3,16,13,14,1,0,190,2,9,1 -"-Garry Templeton",510,126,2,42,44,35,11,5562,1578,44,703,519,256,1,1,207,358,20,1 -"-Len Dykstra",431,127,8,77,45,58,2,667,187,9,117,64,88,1,0,283,8,3,1 -"-Bruce Bochy",127,32,8,16,22,14,8,727,180,24,67,82,56,1,1,202,22,2,1 -"-Wade Boggs",580,207,8,107,71,105,5,2778,978,32,474,322,417,0,0,121,267,19,0 -"-Ron Oester",523,135,8,52,44,52,9,3368,895,39,377,284,296,1,1,367,475,19,1 -"-Mike Davis",489,131,19,77,55,34,7,2051,549,62,300,263,153,0,1,310,9,9,0 -"-Rickey Henderson",608,160,28,130,74,89,8,4071,1182,103,862,417,708,0,0,426,4,6,0 -"-Tommy Herr",559,141,2,48,61,73,8,3162,874,16,421,349,359,1,0,352,414,9,1 -"-Tom Foley",263,70,1,26,23,30,4,888,220,9,83,82,86,1,0,81,147,4,1 -"-Mike Kingery",209,54,3,25,14,12,1,209,54,3,25,14,12,0,1,102,6,3,0 -"-Ted Simmons",127,32,4,14,25,12,19,8396,2402,242,1048,1348,819,1,1,167,18,6,1 -"-Denny Walling",382,119,13,54,58,36,12,2133,594,41,287,294,227,1,1,59,156,9,1 -"-Sid Bream",522,140,16,73,77,60,4,730,185,22,93,106,86,1,0,1320,166,17,1 -"-Mitch Webster",576,167,8,89,49,57,4,822,232,19,132,83,79,1,0,325,12,8,1 -"-Tony Fernandez",687,213,10,91,65,27,4,1518,448,15,196,137,89,0,0,294,445,13,0 -"-Ron Hassey",341,110,9,45,49,46,9,2331,658,50,249,322,274,0,0,251,9,4,0 -"-Ray Knight",486,145,11,51,76,40,11,3967,1102,67,410,497,284,1,0,88,204,16,0 -"-Dave Henderson",388,103,15,59,47,39,6,2174,555,80,285,274,186,0,1,182,9,4,0 -"-Tim Flannery",368,103,3,48,28,54,8,1897,493,9,207,162,198,1,1,209,246,3,1 -"-Chili Davis",526,146,13,71,70,84,6,2648,715,77,352,342,289,1,1,303,9,9,1 -"-Jeff Reed",165,39,2,13,9,16,3,196,44,2,18,10,18,0,1,332,19,2,1 -"-Brett Butler",587,163,4,92,51,70,6,2695,747,17,442,198,317,0,0,434,9,3,0 -"-Steve Sax",633,210,6,91,56,59,6,3070,872,19,420,230,274,1,1,367,432,16,1 -"-Steve Garvey",557,142,21,58,81,23,18,8759,2583,271,1138,1299,478,1,1,1160,53,7,1 -"-Candy Maldonado",405,102,18,49,85,20,6,950,231,29,99,138,64,1,1,161,10,3,1 -"-Alex Trevino",202,53,4,31,26,27,9,1876,467,15,192,186,161,1,1,304,45,11,1 -"-Joe Carter",663,200,29,108,121,32,4,1447,404,57,210,222,68,0,0,241,8,6,0 -"-Rick Schu",208,57,8,32,25,18,3,653,170,17,98,54,62,1,0,42,94,13,1 -"-Joel Skinner",315,73,5,23,37,16,4,450,108,6,38,46,28,0,1,227,15,3,0 -"-Jose Uribe",453,101,3,46,43,61,3,948,218,6,96,72,91,1,1,249,444,16,1 -"-Eddie Murray",495,151,17,61,84,78,10,5624,1679,275,884,1015,709,0,0,1045,88,13,0 -"-Don Slaught",314,83,13,39,46,16,5,1457,405,28,156,159,76,0,1,533,40,4,0 -"-Paul Molitor",437,123,9,62,55,40,9,4139,1203,79,676,390,364,0,0,82,170,15,0 -"-Hubie Brooks",306,104,14,50,58,25,7,2954,822,55,313,377,187,1,0,116,222,15,1 -"-Rance Mulliniks",348,90,11,50,45,43,10,2288,614,43,295,273,269,0,0,60,176,6,0 -"-Dan Gladden",351,97,4,55,29,39,4,1258,353,16,196,110,117,1,1,226,7,3,0 -"-Craig Reynolds",313,78,6,32,41,12,12,3742,968,35,409,321,170,1,1,106,206,7,1 -"-Lou Whitaker",584,157,20,95,73,63,10,4704,1320,93,724,522,576,0,0,276,421,11,0 -"-Howard Johnson",220,54,10,30,39,31,5,1185,299,40,145,154,128,1,0,50,136,20,1 -"-Chris Bando",254,68,2,28,26,22,6,999,236,21,108,117,118,0,0,359,30,4,0 -"-Rey Quinones",312,68,2,32,22,24,1,312,68,2,32,22,24,0,0,86,150,15,0 -"-Eric Davis",415,115,27,97,71,68,3,711,184,45,156,119,99,1,1,274,2,7,1 -"-Phil Bradley",526,163,12,88,50,77,4,1556,470,38,245,167,174,0,1,250,11,1,0 -"-Reggie Jackson",419,101,18,65,58,92,20,9528,2510,548,1509,1659,1342,0,1,0,0,0,0 -"-Wayne Tolleson",475,126,3,61,43,52,6,1700,433,7,217,93,146,0,1,37,113,7,0 -"-Jose Cruz",479,133,10,48,72,55,17,7472,2147,153,980,1032,854,1,1,237,5,4,1 -"-Doug DeCinces",512,131,26,69,96,52,14,5347,1397,221,712,815,548,0,1,119,216,12,0 -"-Dave Parker",637,174,31,89,116,56,14,6727,2024,247,978,1093,495,1,1,278,9,9,1 -"-Bob Dernier",324,73,4,32,18,22,7,1931,491,13,291,108,180,1,0,222,3,3,1 -"-Alvin Davis",479,130,18,66,72,76,3,1624,457,63,224,266,263,0,1,880,82,14,0 -"-Jesse Barfield",589,170,40,107,108,69,6,2325,634,128,371,376,238,0,0,368,20,3,0 -"-Vance Law",360,81,5,37,44,37,7,2268,566,41,279,257,246,1,0,170,284,3,1 -"-Will Clark",408,117,11,66,41,34,1,408,117,11,66,41,34,1,1,942,72,11,1 -"-Len Matuszek",199,52,9,26,28,21,6,805,191,30,113,119,87,1,1,235,22,5,1 -"-Ken Landreaux",283,74,4,34,29,22,10,3919,1062,85,505,456,283,1,1,145,5,7,1 -"-Dale Sveum",317,78,7,35,35,32,1,317,78,7,35,35,32,0,0,45,122,26,0 -"-Mel Hall",442,131,18,68,77,33,6,1416,398,47,210,203,136,0,0,233,7,7,0 -"-Scott Bradley",220,66,5,20,28,13,3,290,80,5,27,31,15,0,1,281,21,3,0 -"-Herm Winningham",185,40,4,23,11,18,3,524,125,7,58,37,47,1,0,97,2,2,1 -"-Dale Murphy",614,163,29,89,83,75,11,5017,1388,266,813,822,617,1,1,303,6,6,1 -"-Kevin McReynolds",560,161,26,89,96,66,4,1789,470,65,233,260,155,1,1,332,9,8,1 -"-Bob Kearney",204,49,6,23,25,12,7,1309,308,27,126,132,66,0,1,419,46,5,0 -"-Tim 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diff --git a/Data/NCI60_y.csv b/Data/NCI60_y.csv deleted file mode 100644 index 3264805..0000000 --- a/Data/NCI60_y.csv +++ /dev/null @@ -1,65 +0,0 @@ -"","x" -"1","CNS" -"2","CNS" -"3","CNS" -"4","RENAL" -"5","BREAST" -"6","CNS" -"7","CNS" -"8","BREAST" -"9","NSCLC" -"10","NSCLC" -"11","RENAL" -"12","RENAL" -"13","RENAL" -"14","RENAL" -"15","RENAL" -"16","RENAL" -"17","RENAL" -"18","BREAST" -"19","NSCLC" -"20","RENAL" -"21","UNKNOWN" -"22","OVARIAN" -"23","MELANOMA" -"24","PROSTATE" -"25","OVARIAN" -"26","OVARIAN" -"27","OVARIAN" -"28","OVARIAN" -"29","OVARIAN" -"30","PROSTATE" -"31","NSCLC" -"32","NSCLC" -"33","NSCLC" -"34","LEUKEMIA" -"35","K562B-repro" -"36","K562A-repro" -"37","LEUKEMIA" -"38","LEUKEMIA" -"39","LEUKEMIA" -"40","LEUKEMIA" -"41","LEUKEMIA" -"42","COLON" -"43","COLON" -"44","COLON" -"45","COLON" -"46","COLON" -"47","COLON" -"48","COLON" -"49","MCF7A-repro" -"50","BREAST" -"51","MCF7D-repro" -"52","BREAST" -"53","NSCLC" -"54","NSCLC" -"55","NSCLC" -"56","MELANOMA" 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+"226",0,0,0,"K23",24,0.67217,0,28.94455852,0 +"227",1,0,1,"U54",31,5.649036,38.278,7.983572895,1 +"228",0,0,0,"R01",132,2.481322,0,2.98973306,0 +"229",0,0,0,"R01",55,1.41009,0,4.993839836,0 +"230",1,0,0,"R21",30,0.407,0,19.97535934,0 +"231",0,0,0,"R01",60,1.591641,0,6.012320329,0 +"232",1,0,0,"RC2",150,4.136888,0,30.39014374,0 +"233",1,0,0,"R44",1800,0.988677,3.299,35.02258727,1 +"234",1,0,0,"R21",181,0.37509,0,4.008213552,0 +"235",0,0,0,"R01",66,1.15875,0,5.979466119,0 +"236",0,0,0,"P50",100,2.531065,0,11.86036961,0 +"237",1,0,0,"K23",99,0.601928,0,13.04312115,0 +"238",1,0,0,"R01",247,1.3054805,0,9.691991786,1 +"239",1,0,0,"R01",247,1.3054805,0,16.45995893,1 +"240",0,0,0,"R01",4105,2.703653,5.355,65.01848049,1 +"241",1,0,0,"R44",181,1.117084,0,66.98973306,0 +"242",0,0,0,"K23",104,0.472321,0,9.987679671,0 +"243",0,0,0,"R21",69,0.40471,0,21.97946612,0 +"244",1,0,0,"R01",1699,2.957751,0,4.632443532,0 diff --git a/Data/Smarket.csv b/Data/Smarket.csv index cfd1764..dca7244 100644 --- a/Data/Smarket.csv +++ b/Data/Smarket.csv @@ -1,1251 +1,1251 @@ -"","Year","Lag1","Lag2","Lag3","Lag4","Lag5","Volume","Today","Direction" -"1",2001,0.381,-0.192,-2.624,-1.055,5.01,1.1913,0.959,"Up" -"2",2001,0.959,0.381,-0.192,-2.624,-1.055,1.2965,1.032,"Up" -"3",2001,1.032,0.959,0.381,-0.192,-2.624,1.4112,-0.623,"Down" -"4",2001,-0.623,1.032,0.959,0.381,-0.192,1.276,0.614,"Up" -"5",2001,0.614,-0.623,1.032,0.959,0.381,1.2057,0.213,"Up" -"6",2001,0.213,0.614,-0.623,1.032,0.959,1.3491,1.392,"Up" -"7",2001,1.392,0.213,0.614,-0.623,1.032,1.445,-0.403,"Down" -"8",2001,-0.403,1.392,0.213,0.614,-0.623,1.4078,0.027,"Up" -"9",2001,0.027,-0.403,1.392,0.213,0.614,1.164,1.303,"Up" -"10",2001,1.303,0.027,-0.403,1.392,0.213,1.2326,0.287,"Up" -"11",2001,0.287,1.303,0.027,-0.403,1.392,1.309,-0.498,"Down" -"12",2001,-0.498,0.287,1.303,0.027,-0.403,1.258,-0.189,"Down" -"13",2001,-0.189,-0.498,0.287,1.303,0.027,1.098,0.68,"Up" -"14",2001,0.68,-0.189,-0.498,0.287,1.303,1.0531,0.701,"Up" -"15",2001,0.701,0.68,-0.189,-0.498,0.287,1.1498,-0.562,"Down" -"16",2001,-0.562,0.701,0.68,-0.189,-0.498,1.2953,0.546,"Up" -"17",2001,0.546,-0.562,0.701,0.68,-0.189,1.1188,-1.747,"Down" -"18",2001,-1.747,0.546,-0.562,0.701,0.68,1.0484,0.359,"Up" -"19",2001,0.359,-1.747,0.546,-0.562,0.701,1.013,-0.151,"Down" -"20",2001,-0.151,0.359,-1.747,0.546,-0.562,1.0596,-0.841,"Down" -"21",2001,-0.841,-0.151,0.359,-1.747,0.546,1.1583,-0.623,"Down" -"22",2001,-0.623,-0.841,-0.151,0.359,-1.747,1.1072,-1.334,"Down" -"23",2001,-1.334,-0.623,-0.841,-0.151,0.359,1.0755,1.183,"Up" -"24",2001,1.183,-1.334,-0.623,-0.841,-0.151,1.0391,-0.865,"Down" -"25",2001,-0.865,1.183,-1.334,-0.623,-0.841,1.0752,-0.218,"Down" -"26",2001,-0.218,-0.865,1.183,-1.334,-0.623,1.1503,0.812,"Up" -"27",2001,0.812,-0.218,-0.865,1.183,-1.334,1.1537,-1.891,"Down" -"28",2001,-1.891,0.812,-0.218,-0.865,1.183,1.2572,-1.736,"Down" -"29",2001,-1.736,-1.891,0.812,-0.218,-0.865,1.1122,-1.851,"Down" -"30",2001,-1.851,-1.736,-1.891,0.812,-0.218,1.2085,-0.195,"Down" -"31",2001,-0.195,-1.851,-1.736,-1.891,0.812,1.3659,-0.556,"Down" -"32",2001,-0.556,-0.195,-1.851,-1.736,-1.891,1.2313,1.749,"Up" -"33",2001,1.749,-0.556,-0.195,-1.851,-1.736,1.1308,-0.766,"Down" -"34",2001,-0.766,1.749,-0.556,-0.195,-1.851,1.1141,-1.431,"Down" -"35",2001,-1.431,-0.766,1.749,-0.556,-0.195,1.2253,0.104,"Up" -"36",2001,0.104,-1.431,-0.766,1.749,-0.556,1.2949,-0.568,"Down" -"37",2001,-0.568,0.104,-1.431,-0.766,1.749,1.294,0.586,"Up" -"38",2001,0.586,-0.568,0.104,-1.431,-0.766,0.9292,0.998,"Up" -"39",2001,0.998,0.586,-0.568,0.104,-1.431,1.0918,0.645,"Up" -"40",2001,0.645,0.998,0.586,-0.568,0.104,1.1322,0.226,"Up" -"41",2001,0.226,0.645,0.998,0.586,-0.568,1.1141,-2.476,"Down" -"42",2001,-2.476,0.226,0.645,0.998,0.586,1.0859,-4.318,"Down" -"43",2001,-4.318,-2.476,0.226,0.645,0.998,1.229,1.483,"Up" -"44",2001,1.483,-4.318,-2.476,0.226,0.645,1.3609,-2.584,"Down" -"45",2001,-2.584,1.483,-4.318,-2.476,0.226,1.3974,0.587,"Up" -"46",2001,0.587,-2.584,1.483,-4.318,-2.476,1.2595,-1.962,"Down" -"47",2001,-1.962,0.587,-2.584,1.483,-4.318,1.54356,1.763,"Up" -"48",2001,1.763,-1.962,0.587,-2.584,1.483,1.1262,-2.408,"Down" -"49",2001,-2.408,1.763,-1.962,0.587,-2.584,1.2359,-1.792,"Down" -"50",2001,-1.792,-2.408,1.763,-1.962,0.587,1.3463,-0.406,"Down" -"51",2001,-0.406,-1.792,-2.408,1.763,-1.962,1.72395,1.991,"Up" -"52",2001,1.991,-0.406,-1.792,-2.408,1.763,1.3649,1.128,"Up" -"53",2001,1.128,1.991,-0.406,-1.792,-2.408,1.114,2.557,"Up" -"54",2001,2.557,1.128,1.991,-0.406,-1.792,1.3142,-2.443,"Down" -"55",2001,-2.443,2.557,1.128,1.991,-0.406,1.3334,-0.463,"Down" -"56",2001,-0.463,-2.443,2.557,1.128,1.991,1.2345,1.078,"Up" -"57",2001,1.078,-0.463,-2.443,2.557,1.128,1.2808,-1.246,"Down" -"58",2001,-1.246,1.078,-0.463,-2.443,2.557,1.2549,-3.439,"Down" -"59",2001,-3.439,-1.246,1.078,-0.463,-2.443,1.3861,-0.29,"Down" -"60",2001,-0.29,-3.439,-1.246,1.078,-0.463,1.42559,4.368,"Up" -"61",2001,4.368,-0.29,-3.439,-1.246,1.078,1.368,-1.998,"Down" -"62",2001,-1.998,4.368,-0.29,-3.439,-1.246,1.2668,0.812,"Up" -"63",2001,0.812,-1.998,4.368,-0.29,-3.439,1.0628,2.707,"Up" -"64",2001,2.707,0.812,-1.998,4.368,-0.29,1.3496,-0.213,"Down" -"65",2001,-0.213,2.707,0.812,-1.998,4.368,1.2903,1.51,"Up" -"66",2001,1.51,-0.213,2.707,0.812,-1.998,1.102,-0.323,"Down" -"67",2001,-0.323,1.51,-0.213,2.707,0.812,0.9139,1.028,"Up" -"68",2001,1.028,-0.323,1.51,-0.213,2.707,1.1096,3.889,"Up" -"69",2001,3.889,1.028,-0.323,1.51,-0.213,1.9189,1.254,"Up" -"70",2001,1.254,3.889,1.028,-0.323,1.51,1.4868,-0.854,"Down" -"71",2001,-0.854,1.254,3.889,1.028,-0.323,1.3387,-1.498,"Down" -"72",2001,-1.498,-0.854,1.254,3.889,1.028,1.0126,-1.216,"Down" -"73",2001,-1.216,-1.498,-0.854,1.254,3.889,1.2165,1.594,"Up" -"74",2001,1.594,-1.216,-1.498,-0.854,1.254,1.2036,0.47,"Up" -"75",2001,0.47,1.594,-1.216,-1.498,-0.854,1.3452,1.501,"Up" -"76",2001,1.501,0.47,1.594,-1.216,-1.498,1.0913,-0.287,"Down" -"77",2001,-0.287,1.501,0.47,1.594,-1.216,1.2668,1.359,"Up" -"78",2001,1.359,-0.287,1.501,0.47,1.594,1.1813,0.078,"Up" -"79",2001,0.078,1.359,-0.287,1.501,0.47,1.3422,-1.487,"Down" -"80",2001,-1.487,0.078,1.359,-0.287,1.501,1.1379,1.444,"Up" -"81",2001,1.444,-1.487,0.078,1.359,-0.287,1.0821,-0.245,"Down" -"82",2001,-0.245,1.444,-1.487,0.078,1.359,0.949,-0.183,"Down" -"83",2001,-0.183,-0.245,1.444,-1.487,0.078,1.0063,-0.449,"Down" -"84",2001,-0.449,-0.183,-0.245,1.444,-1.487,1.1324,-0.029,"Down" -"85",2001,-0.029,-0.449,-0.183,-0.245,1.444,1.0567,-0.758,"Down" -"86",2001,-0.758,-0.029,-0.449,-0.183,-0.245,0.9062,0.261,"Up" -"87",2001,0.261,-0.758,-0.029,-0.449,-0.183,0.8582,0.042,"Up" -"88",2001,0.042,0.261,-0.758,-0.029,-0.449,1.0718,2.845,"Up" -"89",2001,2.845,0.042,0.261,-0.758,-0.029,1.4053,0.272,"Up" -"90",2001,0.272,2.845,0.042,0.261,-0.758,1.3556,0.269,"Up" -"91",2001,0.269,0.272,2.845,0.042,0.261,1.1308,1.615,"Up" -"92",2001,1.615,0.269,0.272,2.845,0.042,1.1749,-0.263,"Down" -"93",2001,-0.263,1.615,0.269,0.272,2.845,1.2604,-1.553,"Down" -"94",2001,-1.553,-0.263,1.615,0.269,0.272,1.1348,0.32,"Up" -"95",2001,0.32,-1.553,-0.263,1.615,0.269,1.1007,-1.182,"Down" -"96",2001,-1.182,0.32,-1.553,-0.263,1.615,0.8281,-0.779,"Down" -"97",2001,-0.779,-1.182,0.32,-1.553,-0.263,1.026,-1.566,"Down" -"98",2001,-1.566,-0.779,-1.182,0.32,-1.553,1.1586,0.62,"Up" -"99",2001,0.62,-1.566,-0.779,-1.182,0.32,1.2266,0.386,"Up" -"100",2001,0.386,0.62,-1.566,-0.779,-1.182,1.015,0.511,"Up" -"101",2001,0.511,0.386,0.62,-1.566,-0.779,0.8365,1.299,"Up" -"102",2001,1.299,0.511,0.386,0.62,-1.566,1.1168,-1.055,"Down" -"103",2001,-1.055,1.299,0.511,0.386,0.62,1.0619,0.546,"Up" -"104",2001,0.546,-1.055,1.299,0.511,0.386,1.0896,-0.94,"Down" -"105",2001,-0.94,0.546,-1.055,1.299,0.511,0.7262,-0.836,"Down" -"106",2001,-0.836,-0.94,0.546,-1.055,1.299,0.8701,0.116,"Up" -"107",2001,0.116,-0.836,-0.94,0.546,-1.055,1.1365,-1.135,"Down" -"108",2001,-1.135,0.116,-0.836,-0.94,0.546,1.0636,-1.75,"Down" -"109",2001,-1.75,-1.135,0.116,-0.836,-0.94,1.2429,-0.452,"Down" -"110",2001,-0.452,-1.75,-1.135,0.116,-0.836,1.63555,-0.488,"Down" -"111",2001,-0.488,-0.452,-1.75,-1.135,0.116,1.1116,0.343,"Up" -"112",2001,0.343,-0.488,-0.452,-1.75,-1.135,1.1849,0.871,"Up" -"113",2001,0.871,0.343,-0.488,-0.452,-1.75,1.3501,1.136,"Up" -"114",2001,1.136,0.871,0.343,-0.488,-0.452,1.54682,-0.945,"Down" -"115",2001,-0.945,1.136,0.871,0.343,-0.488,1.1892,-0.551,"Down" -"116",2001,-0.551,-0.945,1.136,0.871,0.343,1.0501,-0.151,"Down" -"117",2001,-0.151,-0.551,-0.945,1.136,0.871,1.1989,-0.468,"Down" -"118",2001,-0.468,-0.151,-0.551,-0.945,1.136,1.1621,1.249,"Up" -"119",2001,1.249,-0.468,-0.151,-0.551,-0.945,1.3273,-0.148,"Down" -"120",2001,-0.148,1.249,-0.468,-0.151,-0.551,1.83236,1.008,"Up" -"121",2001,1.008,-0.148,1.249,-0.468,-0.151,1.1283,-0.184,"Down" -"122",2001,-0.184,1.008,-0.148,1.249,-0.468,0.62211,-1.232,"Down" -"123",2001,-1.232,-0.184,1.008,-0.148,1.249,0.9349,-2.35,"Down" -"124",2001,-2.35,-1.232,-0.184,1.008,-0.148,1.0567,0.688,"Up" -"125",2001,0.688,-2.35,-1.232,-0.184,1.008,1.0457,-1.44,"Down" -"126",2001,-1.44,0.688,-2.35,-1.232,-0.184,1.2638,-0.113,"Down" -"127",2001,-0.113,-1.44,0.688,-2.35,-1.232,1.3841,2.369,"Up" -"128",2001,2.369,-0.113,-1.44,0.688,-2.35,1.394,0.624,"Up" -"129",2001,0.624,2.369,-0.113,-1.44,0.688,1.1217,-1.088,"Down" -"130",2001,-1.088,0.624,2.369,-0.113,-1.44,1.0398,0.997,"Up" -"131",2001,0.997,-1.088,0.624,2.369,-0.113,1.2381,-0.554,"Down" -"132",2001,-0.554,0.997,-1.088,0.624,2.369,1.3163,0.605,"Up" -"133",2001,0.605,-0.554,0.997,-1.088,0.624,1.3435,-0.343,"Down" -"134",2001,-0.343,0.605,-0.554,0.997,-1.088,1.1709,-1.637,"Down" -"135",2001,-1.637,-0.343,0.605,-0.554,0.997,0.9869,-1.627,"Down" -"136",2001,-1.627,-1.637,-0.343,0.605,-0.554,1.1987,1.608,"Up" -"137",2001,1.608,-1.627,-1.637,-0.343,0.605,1.2807,1.045,"Up" -"138",2001,1.045,1.608,-1.627,-1.637,-0.343,1.2139,0.24,"Up" -"139",2001,0.24,1.045,1.608,-1.627,-1.637,1.0153,-0.108,"Down" -"140",2001,-0.108,0.24,1.045,1.608,-1.627,0.9091,0.557,"Up" -"141",2001,0.557,-0.108,0.24,1.045,1.608,1.1292,0.388,"Up" -"142",2001,0.388,0.557,-0.108,0.24,1.045,1.3403,0.396,"Up" -"143",2001,0.396,0.388,0.557,-0.108,0.24,1.2183,-0.524,"Down" -"144",2001,-0.524,0.396,0.388,0.557,-0.108,0.9399,-1.142,"Down" -"145",2001,-1.142,-0.524,0.396,0.388,0.557,0.8117,0.327,"Up" -"146",2001,0.327,-1.142,-0.524,0.396,0.388,1.012,-1.733,"Down" -"147",2001,-1.733,0.327,-1.142,-0.524,0.396,1.1246,-0.008,"Down" -"148",2001,-0.008,-1.733,0.327,-1.142,-0.524,1.1042,0.569,"Up" -"149",2001,0.569,-0.008,-1.733,0.327,-1.142,0.9609,0.095,"Up" -"150",2001,0.095,0.569,-0.008,-1.733,0.327,0.8376,-0.383,"Down" -"151",2001,-0.383,0.095,0.569,-0.008,-1.733,0.9646,-0.734,"Down" -"152",2001,-0.734,-0.383,0.095,0.569,-0.008,1.0656,0.309,"Up" -"153",2001,0.309,-0.734,-0.383,0.095,0.569,1.0554,-1.666,"Down" -"154",2001,-1.666,0.309,-0.734,-0.383,0.095,0.9743,0.812,"Up" -"155",2001,0.812,-1.666,0.309,-0.734,-0.383,0.8971,-1.208,"Down" -"156",2001,-1.208,0.812,-1.666,0.309,-0.734,1.0416,0.696,"Up" -"157",2001,0.696,-1.208,0.812,-1.666,0.309,1.1108,-0.276,"Down" -"158",2001,-0.276,0.696,-1.208,0.812,-1.666,0.9862,1.965,"Up" -"159",2001,1.965,-0.276,0.696,-1.208,0.812,1.0436,-0.483,"Down" -"160",2001,-0.483,1.965,-0.276,0.696,-1.208,0.8426,-1.501,"Down" -"161",2001,-1.501,-0.483,1.965,-0.276,0.696,0.9871,-1.115,"Down" -"162",2001,-1.115,-1.501,-0.483,1.965,-0.276,0.9637,-1.7,"Down" -"163",2001,-1.7,-1.115,-1.501,-0.483,1.965,1.157,0.403,"Up" -"164",2001,0.403,-1.7,-1.115,-1.501,-0.483,0.9201,-0.056,"Down" -"165",2001,-0.056,0.403,-1.7,-1.115,-1.501,1.1783,-0.106,"Down" -"166",2001,-0.106,-0.056,0.403,-1.7,-1.115,1.3845,-2.239,"Down" -"167",2001,-2.239,-0.106,-0.056,0.403,-1.7,1.3597,-1.864,"Down" -"168",2001,-1.864,-2.239,-0.106,-0.056,0.403,1.4243,0.623,"Up" -"169",2001,0.623,-1.864,-2.239,-0.106,-0.056,1.2766,-4.922,"Down" -"170",2001,-4.922,0.623,-1.864,-2.239,-0.106,2.33083,-0.58,"Down" -"171",2001,-0.58,-4.922,0.623,-1.864,-2.239,1.65041,-1.611,"Down" -"172",2001,-1.611,-0.58,-4.922,0.623,-1.864,2.12055,-3.106,"Down" -"173",2001,-3.106,-1.611,-0.58,-4.922,0.623,2.0048,-1.903,"Down" -"174",2001,-1.903,-3.106,-1.611,-0.58,-4.922,2.3173,3.898,"Up" -"175",2001,3.898,-1.903,-3.106,-1.611,-0.58,1.7466,0.879,"Up" -"176",2001,0.879,3.898,-1.903,-3.106,-1.611,1.6138,-0.517,"Down" -"177",2001,-0.517,0.879,3.898,-1.903,-3.106,1.5191,1.149,"Up" -"178",2001,1.149,-0.517,0.879,3.898,-1.903,1.467,2.192,"Up" -"179",2001,2.192,1.149,-0.517,0.879,3.898,1.6315,-0.23,"Down" -"180",2001,-0.23,2.192,1.149,-0.517,0.879,1.1756,1.231,"Up" -"181",2001,1.231,-0.23,2.192,1.149,-0.517,1.2898,1.993,"Up" -"182",2001,1.993,1.231,-0.23,2.192,1.149,1.6506,-0.247,"Down" -"183",2001,-0.247,1.993,1.231,-0.23,2.192,1.6091,0.164,"Up" -"184",2001,0.164,-0.247,1.993,1.231,-0.23,1.3017,-0.834,"Down" -"185",2001,-0.834,0.164,-0.247,1.993,1.231,0.979,-0.536,"Down" -"186",2001,-0.536,-0.834,0.164,-0.247,1.993,1.2278,2.294,"Up" -"187",2001,2.294,-0.536,-0.834,0.164,-0.247,1.3124,1.521,"Up" -"188",2001,1.521,2.294,-0.536,-0.834,0.164,1.70458,-0.527,"Down" -"189",2001,-0.527,1.521,2.294,-0.536,-0.834,1.3314,-0.153,"Down" -"190",2001,-0.153,-0.527,1.521,2.294,-0.536,1.0247,0.694,"Up" -"191",2001,0.694,-0.153,-0.527,1.521,2.294,1.2105,-1.863,"Down" -"192",2001,-1.863,0.694,-0.153,-0.527,1.521,1.4522,-0.787,"Down" -"193",2001,-0.787,-1.863,0.694,-0.153,-0.527,1.2629,0.456,"Up" -"194",2001,0.456,-0.787,-1.863,0.694,-0.153,1.2949,1.53,"Up" -"195",2001,1.53,0.456,-0.787,-1.863,0.694,1.1057,-0.47,"Down" -"196",2001,-0.47,1.53,0.456,-0.787,-1.863,1.3173,0.039,"Up" -"197",2001,0.039,-0.47,1.53,0.456,-0.787,1.3362,1.372,"Up" -"198",2001,1.372,0.039,-0.47,1.53,0.456,1.3644,0.411,"Up" -"199",2001,0.411,1.372,0.039,-0.47,1.53,1.2445,-2.382,"Down" -"200",2001,-2.382,0.411,1.372,0.039,-0.47,1.1061,-1.717,"Down" -"201",2001,-1.717,-2.382,0.411,1.372,0.039,1.2974,-0.001,"Down" -"202",2001,-0.001,-1.717,-2.382,0.411,1.372,1.3525,2.295,"Up" -"203",2001,2.295,-0.001,-1.717,-2.382,0.411,1.3174,0.286,"Up" -"204",2001,0.286,2.295,-0.001,-1.717,-2.382,1.1219,1.439,"Up" -"205",2001,1.439,0.286,2.295,-0.001,-1.717,1.2677,1.453,"Up" -"206",2001,1.453,1.439,0.286,2.295,-0.001,1.356,-0.273,"Down" -"207",2001,-0.273,1.453,1.439,0.286,2.295,1.4113,0.246,"Up" -"208",2001,0.246,-0.273,1.453,1.439,0.286,1.5175,0.158,"Up" -"209",2001,0.158,0.246,-0.273,1.453,1.439,1.0938,-0.177,"Down" -"210",2001,-0.177,0.158,0.246,-0.273,1.453,0.9916,1.856,"Up" -"211",2001,1.856,-0.177,0.158,0.246,-0.273,1.3701,0.186,"Up" -"212",2001,0.186,1.856,-0.177,0.158,0.246,1.4434,0.09,"Up" -"213",2001,0.09,0.186,1.856,-0.177,0.158,1.4545,-0.314,"Down" -"214",2001,-0.314,0.09,0.186,1.856,-0.177,1.3374,1.09,"Up" -"215",2001,1.09,-0.314,0.09,0.186,1.856,1.3168,-0.73,"Down" -"216",2001,-0.73,1.09,-0.314,0.09,0.186,1.3302,-0.493,"Down" -"217",2001,-0.493,-0.73,1.09,-0.314,0.09,1.0293,1.171,"Up" -"218",2001,1.171,-0.493,-0.73,1.09,-0.314,0.4103,0.615,"Up" -"219",2001,0.615,1.171,-0.493,-0.73,1.09,1.1298,-0.684,"Down" -"220",2001,-0.684,0.615,1.171,-0.493,-0.73,1.288,-1.825,"Down" -"221",2001,-1.825,-0.684,0.615,1.171,-0.493,1.4237,1.035,"Up" -"222",2001,1.035,-1.825,-0.684,0.615,1.171,1.3757,-0.066,"Down" -"223",2001,-0.066,1.035,-1.825,-0.684,0.615,1.3436,-0.838,"Down" -"224",2001,-0.838,-0.066,1.035,-1.825,-0.684,1.2029,1.319,"Up" -"225",2001,1.319,-0.838,-0.066,1.035,-1.825,1.3185,2.232,"Up" -"226",2001,2.232,1.319,-0.838,-0.066,1.035,1.7653,-0.278,"Down" -"227",2001,-0.278,2.232,1.319,-0.838,-0.066,1.4879,-0.753,"Down" -"228",2001,-0.753,-0.278,2.232,1.319,-0.838,1.2482,-1.587,"Down" -"229",2001,-1.587,-0.753,-0.278,2.232,1.319,1.2187,-0.278,"Down" -"230",2001,-0.278,-1.587,-0.753,-0.278,2.232,1.3672,0.027,"Up" -"231",2001,0.027,-0.278,-1.587,-0.753,-0.278,1.4497,-1.556,"Down" -"232",2001,-1.556,0.027,-0.278,-1.587,-0.753,1.5115,0.331,"Up" -"233",2001,0.331,-1.556,0.027,-0.278,-1.587,1.3068,1.003,"Up" -"234",2001,1.003,0.331,-1.556,0.027,-0.278,1.2604,0.755,"Up" -"235",2001,0.755,1.003,0.331,-1.556,0.027,1.354,0.581,"Up" -"236",2001,0.581,0.755,1.003,0.331,-1.556,1.4849,-0.838,"Down" -"237",2001,-0.838,0.581,0.755,1.003,0.331,1.4905,0.435,"Up" -"238",2001,0.435,-0.838,0.581,0.755,1.003,1.694,-0.021,"Down" -"239",2001,-0.021,0.435,-0.838,0.581,0.755,0.43967,0.412,"Up" -"240",2001,0.412,-0.021,0.435,-0.838,0.581,0.7911,0.675,"Up" -"241",2001,0.675,0.412,-0.021,0.435,-0.838,0.8763,0.336,"Up" -"242",2001,0.336,0.675,0.412,-0.021,0.435,0.9174,-1.115,"Down" -"243",2002,-1.115,0.336,0.675,0.412,-0.021,0.9436,0.574,"Up" -"244",2002,0.574,-1.115,0.336,0.675,0.412,1.171,0.918,"Up" -"245",2002,0.918,0.574,-1.115,0.336,0.675,1.3989,0.621,"Up" -"246",2002,0.621,0.918,0.574,-1.115,0.336,1.513,-0.65,"Down" -"247",2002,-0.65,0.621,0.918,0.574,-1.115,1.3083,-0.359,"Down" -"248",2002,-0.359,-0.65,0.621,0.918,0.574,1.2588,-0.48,"Down" -"249",2002,-0.48,-0.359,-0.65,0.621,0.918,1.452,0.122,"Up" -"250",2002,0.122,-0.48,-0.359,-0.65,0.621,1.299,-0.947,"Down" -"251",2002,-0.947,0.122,-0.48,-0.359,-0.65,1.2119,-0.628,"Down" -"252",2002,-0.628,-0.947,0.122,-0.48,-0.359,1.2864,0.683,"Up" -"253",2002,0.683,-0.628,-0.947,0.122,-0.48,1.3869,-1.625,"Down" -"254",2002,-1.625,0.683,-0.628,-0.947,0.122,1.4825,1.003,"Up" -"255",2002,1.003,-1.625,0.683,-0.628,-0.947,1.3801,-0.992,"Down" -"256",2002,-0.992,1.003,-1.625,0.683,-0.628,1.3333,-0.733,"Down" -"257",2002,-0.733,-0.992,1.003,-1.625,0.683,1.3116,0.792,"Up" -"258",2002,0.792,-0.733,-0.992,1.003,-1.625,1.4792,0.352,"Up" -"259",2002,0.352,0.792,-0.733,-0.992,1.003,1.5528,0.1,"Up" -"260",2002,0.1,0.352,0.792,-0.733,-0.992,1.3451,-0.019,"Down" -"261",2002,-0.019,0.1,0.352,0.792,-0.733,1.1868,-2.861,"Down" -"262",2002,-2.861,-0.019,0.1,0.352,0.792,1.812,1.175,"Up" -"263",2002,1.175,-2.861,-0.019,0.1,0.352,2.0196,1.493,"Up" -"264",2002,1.493,1.175,-2.861,-0.019,0.1,1.557,-0.708,"Down" -"265",2002,-0.708,1.493,1.175,-2.861,-0.019,1.3672,-2.474,"Down" -"266",2002,-2.474,-0.708,1.493,1.175,-2.861,1.4376,-0.404,"Down" -"267",2002,-0.404,-2.474,-0.708,1.493,1.175,1.7783,-0.597,"Down" -"268",2002,-0.597,-0.404,-2.474,-0.708,1.493,1.6658,-0.308,"Down" -"269",2002,-0.308,-0.597,-0.404,-2.474,-0.708,1.4416,1.486,"Up" -"270",2002,1.486,-0.308,-0.597,-0.404,-2.474,1.3719,1.434,"Up" -"271",2002,1.434,1.486,-0.308,-0.597,-0.404,1.1594,-0.399,"Down" -"272",2002,-0.399,1.434,1.486,-0.308,-0.597,1.0942,0.994,"Up" -"273",2002,0.994,-0.399,1.434,1.486,-0.308,1.2159,-0.181,"Down" -"274",2002,-0.181,0.994,-0.399,1.434,1.486,1.2725,-1.102,"Down" -"275",2002,-1.102,-0.181,0.994,-0.399,1.434,1.3592,-1.887,"Down" -"276",2002,-1.887,-1.102,-0.181,0.994,-0.399,1.1899,1.351,"Up" -"277",2002,1.351,-1.887,-1.102,-0.181,0.994,1.4389,-1.551,"Down" -"278",2002,-1.551,1.351,-1.887,-1.102,-0.181,1.3816,0.822,"Up" -"279",2002,0.822,-1.551,1.351,-1.887,-1.102,1.411,1.798,"Up" -"280",2002,1.798,0.822,-1.551,1.351,-1.887,1.3674,-0.005,"Down" -"281",2002,-0.005,1.798,0.822,-1.551,1.351,1.3092,0.046,"Up" -"282",2002,0.046,-0.005,1.798,0.822,-1.551,1.3938,-0.285,"Down" -"283",2002,-0.285,0.046,-0.005,1.798,0.822,1.3922,2.263,"Up" -"284",2002,2.263,-0.285,0.046,-0.005,1.798,1.4565,1.949,"Up" -"285",2002,1.949,2.263,-0.285,0.046,-0.005,1.5943,-0.667,"Down" -"286",2002,-0.667,1.949,2.263,-0.285,0.046,1.5493,1.451,"Up" -"287",2002,1.451,-0.667,1.949,2.263,-0.285,1.5413,-0.45,"Down" -"288",2002,-0.45,1.451,-0.667,1.949,2.263,1.5174,0.585,"Up" -"289",2002,0.585,-0.45,1.451,-0.667,1.949,1.412,0.339,"Up" -"290",2002,0.339,0.585,-0.45,1.451,-0.667,1.2102,-0.229,"Down" -"291",2002,-0.229,0.339,0.585,-0.45,1.451,1.3044,-0.986,"Down" -"292",2002,-0.986,-0.229,0.339,0.585,-0.45,1.354,-0.091,"Down" -"293",2002,-0.091,-0.986,-0.229,0.339,0.585,1.2088,1.138,"Up" -"294",2002,1.138,-0.091,-0.986,-0.229,0.339,1.4939,-0.052,"Down" -"295",2002,-0.052,1.138,-0.091,-0.986,-0.229,1.1695,0.407,"Up" -"296",2002,0.407,-0.052,1.138,-0.091,-0.986,1.255,-1.576,"Down" -"297",2002,-1.576,0.407,-0.052,1.138,-0.091,1.3049,0.151,"Up" -"298",2002,0.151,-1.576,0.407,-0.052,1.138,1.3392,-0.424,"Down" -"299",2002,-0.424,0.151,-1.576,0.407,-0.052,1.2433,-1.465,"Down" -"300",2002,-1.465,-0.424,0.151,-1.576,0.407,1.0579,0.585,"Up" -"301",2002,0.585,-1.465,-0.424,0.151,-1.576,1.2236,0.535,"Up" -"302",2002,0.535,0.585,-1.465,-0.424,0.151,1.1801,0.246,"Up" -"303",2002,0.246,0.535,0.585,-1.465,-0.424,1.1476,-0.074,"Down" -"304",2002,-0.074,0.246,0.535,0.585,-1.465,1.0509,-0.853,"Down" -"305",2002,-0.853,-0.074,0.246,0.535,0.585,1.1767,-0.999,"Down" -"306",2002,-0.999,-0.853,-0.074,0.246,0.535,1.2197,0.084,"Up" -"307",2002,0.084,-0.999,-0.853,-0.074,0.246,1.2838,-0.321,"Down" -"308",2002,-0.321,0.084,-0.999,-0.853,-0.074,1.1102,0.228,"Up" -"309",2002,0.228,-0.321,0.084,-0.999,-0.853,1.0953,-0.666,"Down" -"310",2002,-0.666,0.228,-0.321,0.084,-0.999,1.2354,1.133,"Up" -"311",2002,1.133,-0.666,0.228,-0.321,0.084,1.4479,-2.369,"Down" -"312",2002,-2.369,1.133,-0.666,0.228,-0.321,1.5056,0.663,"Up" -"313",2002,0.663,-2.369,1.133,-0.666,0.228,1.2821,-0.761,"Down" -"314",2002,-0.761,0.663,-2.369,1.133,-0.666,1.1204,2.342,"Up" -"315",2002,2.342,-0.761,0.663,-2.369,1.133,1.3413,-0.204,"Down" -"316",2002,-0.204,2.342,-0.761,0.663,-2.369,1.3769,-0.142,"Down" -"317",2002,-0.142,-0.204,2.342,-0.761,0.663,1.3593,0.062,"Up" -"318",2002,0.062,-0.142,-0.204,2.342,-0.761,1.185,-1.541,"Down" -"319",2002,-1.541,0.062,-0.142,-0.204,2.342,1.1818,-0.62,"Down" -"320",2002,-0.62,-1.541,0.062,-0.142,-0.204,1.3885,-0.71,"Down" -"321",2002,-0.71,-0.62,-1.541,0.062,-0.142,1.3732,-0.152,"Down" -"322",2002,-0.152,-0.71,-0.62,-1.541,0.062,1.5174,-1.389,"Down" -"323",2002,-1.389,-0.152,-0.71,-0.62,-1.541,1.3742,-1.01,"Down" -"324",2002,-1.01,-1.389,-0.152,-0.71,-0.62,1.3147,1.077,"Up" -"325",2002,1.077,-1.01,-1.389,-0.152,-0.71,1.6286,0.886,"Up" -"326",2002,0.886,1.077,-1.01,-1.389,-0.152,1.4514,-0.175,"Down" -"327",2002,-0.175,0.886,1.077,-1.01,-1.389,1.364,-1.026,"Down" -"328",2002,-1.026,-0.175,0.886,1.077,-1.01,1.2845,-1.934,"Down" -"329",2002,-1.934,-1.026,-0.175,0.886,1.077,1.1226,-0.302,"Down" -"330",2002,-0.302,-1.934,-1.026,-0.175,0.886,1.3547,3.75,"Up" -"331",2002,3.75,-0.302,-1.934,-1.026,-0.175,1.502,-1.455,"Down" -"332",2002,-1.455,3.75,-0.302,-1.934,-1.026,1.153,-1.679,"Down" -"333",2002,-1.679,-1.455,3.75,-0.302,-1.934,1.1719,1.855,"Up" -"334",2002,1.855,-1.679,-1.455,3.75,-0.302,1.0886,2.114,"Up" -"335",2002,2.114,1.855,-1.679,-1.455,3.75,1.4145,-0.566,"Down" -"336",2002,-0.566,2.114,1.855,-1.679,-1.455,1.4202,0.656,"Up" -"337",2002,0.656,-0.566,2.114,1.855,-1.679,1.2566,0.761,"Up" -"338",2002,0.761,0.656,-0.566,2.114,1.855,1.2744,-1.329,"Down" -"339",2002,-1.329,0.761,0.656,-0.566,2.114,0.9898,-1.099,"Down" -"340",2002,-1.099,-1.329,0.761,0.656,-0.566,1.2005,0.569,"Up" -"341",2002,0.569,-1.099,-1.329,0.761,0.656,1.1363,1.018,"Up" -"342",2002,1.018,0.569,-1.099,-1.329,0.761,1.1929,-1.209,"Down" -"343",2002,-1.209,1.018,0.569,-1.099,-1.329,0.8854,-0.855,"Down" -"344",2002,-0.855,-1.209,1.018,0.569,-1.099,0.9965,-0.641,"Down" -"345",2002,-0.641,-0.855,-1.209,1.018,0.569,1.0818,-0.281,"Down" -"346",2002,-0.281,-0.641,-0.855,-1.209,1.018,1.2866,0.233,"Up" -"347",2002,0.233,-0.281,-0.641,-0.855,-1.209,1.2773,-2.48,"Down" -"348",2002,-2.48,0.233,-0.281,-0.641,-0.855,1.3243,0.001,"Up" -"349",2002,0.001,-2.48,0.233,-0.281,-0.641,1.4666,0.885,"Up" -"350",2002,0.885,0.001,-2.48,0.233,-0.281,1.3001,-1.976,"Down" -"351",2002,-1.976,0.885,0.001,-2.48,0.233,1.6015,-0.157,"Down" -"352",2002,-0.157,-1.976,0.885,0.001,-2.48,1.3413,0.312,"Up" -"353",2002,0.312,-0.157,-1.976,0.885,0.001,1.2262,-1.663,"Down" -"354",2002,-1.663,0.312,-0.157,-1.976,0.885,1.2124,0.657,"Up" -"355",2002,0.657,-1.663,0.312,-0.157,-1.976,1.79572,-1.049,"Down" -"356",2002,-1.049,0.657,-1.663,0.312,-0.157,1.4055,-0.227,"Down" -"357",2002,-0.227,-1.049,0.657,-1.663,0.312,1.549,2.869,"Up" -"358",2002,2.869,-0.227,-1.049,0.657,-1.663,1.2366,0.094,"Up" -"359",2002,0.094,2.869,-0.227,-1.049,0.657,1.1931,-1.654,"Down" -"360",2002,-1.654,0.094,2.869,-0.227,-1.049,1.3361,-1.343,"Down" -"361",2002,-1.343,-1.654,0.094,2.869,-0.227,1.3897,-1.704,"Down" -"362",2002,-1.704,-1.343,-1.654,0.094,2.869,1.4972,0.362,"Up" -"363",2002,0.362,-1.704,-1.343,-1.654,0.094,1.5526,-1.67,"Down" -"364",2002,-1.67,0.362,-1.704,-1.343,-1.654,1.5137,-0.267,"Down" -"365",2002,-0.267,-1.67,0.362,-1.704,-1.343,2.01429,1.758,"Up" -"366",2002,1.758,-0.267,-1.67,0.362,-1.704,1.9086,-0.083,"Down" -"367",2002,-0.083,1.758,-0.267,-1.67,0.362,2.117,-2.139,"Down" -"368",2002,-2.139,-0.083,1.758,-0.267,-1.67,1.4255,-2.123,"Down" -"369",2002,-2.123,-2.139,-0.083,1.758,-0.267,1.823,0.622,"Up" -"370",2002,0.622,-2.123,-2.139,-0.083,1.758,1.5278,3.673,"Up" -"371",2002,3.673,0.622,-2.123,-2.139,-0.083,0.6994,-1.218,"Down" -"372",2002,-1.218,3.673,0.622,-2.123,-2.139,1.1844,-2.472,"Down" -"373",2002,-2.472,-1.218,3.673,0.622,-2.123,1.3489,-3.396,"Down" -"374",2002,-3.396,-2.472,-1.218,3.673,0.622,1.8169,0.75,"Up" -"375",2002,0.75,-3.396,-2.472,-1.218,3.673,2.08048,-0.645,"Down" -"376",2002,-0.645,0.75,-3.396,-2.472,-1.218,1.6074,-0.376,"Down" -"377",2002,-0.376,-0.645,0.75,-3.396,-2.472,2.5748,-1.851,"Down" -"378",2002,-1.851,-0.376,-0.645,0.75,-3.396,1.8437,0.566,"Up" -"379",2002,0.566,-1.851,-0.376,-0.645,0.75,2.5665,-2.702,"Down" -"380",2002,-2.702,0.566,-1.851,-0.376,-0.645,1.7363,-3.835,"Down" -"381",2002,-3.835,-2.702,0.566,-1.851,-0.376,2.6541,-3.291,"Down" -"382",2002,-3.291,-3.835,-2.702,0.566,-1.851,2.24806,-2.702,"Down" -"383",2002,-2.702,-3.291,-3.835,-2.702,0.566,2.44102,5.733,"Up" -"384",2002,5.733,-2.702,-3.291,-3.835,-2.702,2.77556,-0.563,"Down" -"385",2002,-0.563,5.733,-2.702,-3.291,-3.835,2.4247,1.688,"Up" -"386",2002,1.688,-0.563,5.733,-2.702,-3.291,1.7961,5.408,"Up" -"387",2002,5.408,1.688,-0.563,5.733,-2.702,1.77865,0.425,"Up" -"388",2002,0.425,5.408,1.688,-0.563,5.733,1.82609,0.979,"Up" -"389",2002,0.979,0.425,5.408,1.688,-0.563,2.04936,-2.957,"Down" -"390",2002,-2.957,0.979,0.425,5.408,1.688,1.6722,-2.308,"Down" -"391",2002,-2.308,-2.957,0.979,0.425,5.408,1.5381,-3.43,"Down" -"392",2002,-3.43,-2.308,-2.957,0.979,0.425,1.4255,2.992,"Up" -"393",2002,2.992,-3.43,-2.308,-2.957,0.979,1.5141,2.001,"Up" -"394",2002,2.001,2.992,-3.43,-2.308,-2.957,1.4904,3.272,"Up" -"395",2002,3.272,2.001,2.992,-3.43,-2.308,1.6467,0.351,"Up" -"396",2002,0.351,3.272,2.001,2.992,-3.43,1.2949,-0.533,"Down" -"397",2002,-0.533,0.351,3.272,2.001,2.992,1.0365,-2.168,"Down" -"398",2002,-2.168,-0.533,0.351,3.272,2.001,1.2977,4.005,"Up" -"399",2002,4.005,-2.168,-0.533,0.351,3.272,1.5338,1.156,"Up" -"400",2002,1.156,4.005,-2.168,-0.533,0.351,1.5051,-0.159,"Down" -"401",2002,-0.159,1.156,4.005,-2.168,-0.533,1.2653,2.361,"Up" -"402",2002,2.361,-0.159,1.156,4.005,-2.168,1.2998,-1.396,"Down" -"403",2002,-1.396,2.361,-0.159,1.156,4.005,1.3085,1.273,"Up" -"404",2002,1.273,-1.396,2.361,-0.159,1.156,1.3531,1.405,"Up" -"405",2002,1.405,1.273,-1.396,2.361,-0.159,1.373,-2.269,"Down" -"406",2002,-2.269,1.405,1.273,-1.396,2.361,1.0715,0.754,"Up" -"407",2002,0.754,-2.269,1.405,1.273,-1.396,1.0169,-1.385,"Down" -"408",2002,-1.385,0.754,-2.269,1.405,1.273,1.3077,-1.813,"Down" -"409",2002,-1.813,-1.385,0.754,-2.269,1.405,1.1466,-0.008,"Down" -"410",2002,-0.008,-1.813,-1.385,0.754,-2.269,1.2711,-0.188,"Down" -"411",2002,-0.188,-0.008,-1.813,-1.385,0.754,0.9299,-4.154,"Down" -"412",2002,-4.154,-0.188,-0.008,-1.813,-1.385,1.2898,1.752,"Up" -"413",2002,1.752,-4.154,-0.188,-0.008,-1.813,1.3721,-1.595,"Down" -"414",2002,-1.595,1.752,-4.154,-0.188,-0.008,1.4013,1.68,"Up" -"415",2002,1.68,-1.595,1.752,-4.154,-0.188,1.1845,1.011,"Up" -"416",2002,1.011,1.68,-1.595,1.752,-4.154,1.1306,0.733,"Up" -"417",2002,0.733,1.011,1.68,-1.595,1.752,1.1864,-0.014,"Down" -"418",2002,-0.014,0.733,1.011,1.68,-1.595,0.8466,-2.478,"Down" -"419",2002,-2.478,-0.014,0.733,1.011,1.68,1.1916,0.327,"Up" -"420",2002,0.327,-2.478,-0.014,0.733,1.011,1.271,0.145,"Up" -"421",2002,0.145,0.327,-2.478,-0.014,0.733,1.0014,-1.973,"Down" -"422",2002,-1.973,0.145,0.327,-2.478,-0.014,1.4486,-0.465,"Down" -"423",2002,-0.465,-1.973,0.145,0.327,-2.478,1.501,-3.006,"Down" -"424",2002,-3.006,-0.465,-1.973,0.145,0.327,1.524,0.245,"Up" -"425",2002,0.245,-3.006,-0.465,-1.973,0.145,1.7928,-1.383,"Down" -"426",2002,-1.383,0.245,-3.006,-0.465,-1.973,1.3811,-1.728,"Down" -"427",2002,-1.728,-1.383,0.245,-3.006,-0.465,1.67024,2.486,"Up" -"428",2002,2.486,-1.728,-1.383,0.245,-3.006,1.6515,1.821,"Up" -"429",2002,1.821,2.486,-1.728,-1.383,0.245,1.65,-3.226,"Down" -"430",2002,-3.226,1.821,2.486,-1.728,-1.383,1.5073,-1.461,"Down" -"431",2002,-1.461,-3.226,1.821,2.486,-1.728,1.72187,4.002,"Up" -"432",2002,4.002,-1.461,-3.226,1.821,2.486,1.7809,-2.359,"Down" -"433",2002,-2.359,4.002,-1.461,-3.226,1.821,1.6689,-1.082,"Down" -"434",2002,-1.082,-2.359,4.002,-1.461,-3.226,1.6745,-2.243,"Down" -"435",2002,-2.243,-1.082,-2.359,4.002,-1.461,1.83593,-1.911,"Down" -"436",2002,-1.911,-2.243,-1.082,-2.359,4.002,1.5765,1.69,"Up" -"437",2002,1.69,-1.911,-2.243,-1.082,-2.359,1.93843,-2.729,"Down" -"438",2002,-2.729,1.69,-1.911,-2.243,-1.082,1.88503,3.497,"Up" -"439",2002,3.497,-2.729,1.69,-1.911,-2.243,2.09023,3.906,"Up" -"440",2002,3.906,3.497,-2.729,1.69,-1.911,1.85413,0.733,"Up" -"441",2002,0.733,3.906,3.497,-2.729,1.69,1.2003,4.734,"Up" -"442",2002,4.734,0.733,3.906,3.497,-2.729,1.956,-2.411,"Down" -"443",2002,-2.411,4.734,0.733,3.906,3.497,1.585,2.23,"Up" -"444",2002,2.23,-2.411,4.734,0.733,3.906,1.78039,0.59,"Up" -"445",2002,0.59,2.23,-2.411,4.734,0.733,1.4231,1.733,"Up" -"446",2002,1.733,0.59,2.23,-2.411,4.734,1.447,-1.063,"Down" -"447",2002,-1.063,1.733,0.59,2.23,-2.411,1.5492,0.672,"Up" -"448",2002,0.672,-1.063,1.733,0.59,2.23,1.5939,-1.522,"Down" -"449",2002,-1.522,0.672,-1.063,1.733,0.59,1.70057,1.717,"Up" -"450",2002,1.717,-1.522,0.672,-1.063,1.733,1.3404,-0.827,"Down" -"451",2002,-0.827,1.717,-1.522,0.672,-1.063,1.3826,-0.908,"Down" -"452",2002,-0.908,-0.827,1.717,-1.522,0.672,1.5297,0.97,"Up" -"453",2002,0.97,-0.908,-0.827,1.717,-1.522,1.4223,-0.556,"Down" -"454",2002,-0.556,0.97,-0.908,-0.827,1.717,1.6413,1.716,"Up" -"455",2002,1.716,-0.556,0.97,-0.908,-0.827,1.4504,0.82,"Up" -"456",2002,0.82,1.716,-0.556,0.97,-0.908,1.6459,0.775,"Up" -"457",2002,0.775,0.82,1.716,-0.556,0.97,1.3541,0.914,"Up" -"458",2002,0.914,0.775,0.82,1.716,-0.556,1.674,-2.285,"Down" -"459",2002,-2.285,0.914,0.775,0.82,1.716,1.4669,-0.876,"Down" -"460",2002,-0.876,-2.285,0.914,0.775,0.82,1.4465,-2.073,"Down" -"461",2002,-2.073,-0.876,-2.285,0.914,0.775,1.113,0.772,"Up" -"462",2002,0.772,-2.073,-0.876,-2.285,0.914,1.3771,-0.048,"Down" -"463",2002,-0.048,0.772,-2.073,-0.876,-2.285,1.4634,2.463,"Up" -"464",2002,2.463,-0.048,0.772,-2.073,-0.876,1.519,0.615,"Up" -"465",2002,0.615,2.463,-0.048,0.772,-2.073,1.4001,-1.041,"Down" -"466",2002,-1.041,0.615,2.463,-0.048,0.772,1.2826,-0.402,"Down" -"467",2002,-0.402,-1.041,0.615,2.463,-0.048,1.3374,1.941,"Up" -"468",2002,1.941,-0.402,-1.041,0.615,2.463,1.5173,2.145,"Up" -"469",2002,2.145,1.941,-0.402,-1.041,0.615,2.4151,-0.344,"Down" -"470",2002,-0.344,2.145,1.941,-0.402,-1.041,1.6268,0.249,"Up" -"471",2002,0.249,-0.344,2.145,1.941,-0.402,1.574,-2.097,"Down" -"472",2002,-2.097,0.249,-0.344,2.145,1.941,1.5436,2.799,"Up" -"473",2002,2.799,-2.097,0.249,-0.344,2.145,1.3503,-0.273,"Down" -"474",2002,-0.273,2.799,-2.097,0.249,-0.344,0.64346,-0.19,"Down" -"475",2002,-0.19,-0.273,2.799,-2.097,0.249,1.612,-1.475,"Down" -"476",2002,-1.475,-0.19,-0.273,2.799,-2.097,1.4884,-0.344,"Down" -"477",2002,-0.344,-1.475,-0.19,-0.273,2.799,1.5889,-1.202,"Down" -"478",2002,-1.202,-0.344,-1.475,-0.19,-0.273,1.2502,0.627,"Up" -"479",2002,0.627,-1.202,-0.344,-1.475,-0.19,1.2411,-2.218,"Down" -"480",2002,-2.218,0.627,-1.202,-0.344,-1.475,1.3208,1.396,"Up" -"481",2002,1.396,-2.218,0.627,-1.202,-0.344,1.2866,0.056,"Up" -"482",2002,0.056,1.396,-2.218,0.627,-1.202,1.2851,-0.373,"Down" -"483",2002,-0.373,0.056,1.396,-2.218,0.627,1.2553,-1.342,"Down" -"484",2002,-1.342,-0.373,0.056,1.396,-2.218,1.3308,2.352,"Up" -"485",2002,2.352,-1.342,-0.373,0.056,1.396,1.2716,-0.814,"Down" -"486",2002,-0.814,2.352,-1.342,-0.373,0.056,1.2518,-1.315,"Down" -"487",2002,-1.315,-0.814,2.352,-1.342,-0.373,1.4462,-0.771,"Down" -"488",2002,-0.771,-1.315,-0.814,2.352,-1.342,1.3859,1.302,"Up" -"489",2002,1.302,-0.771,-1.315,-0.814,2.352,1.78273,0.181,"Up" -"490",2002,0.181,1.302,-0.771,-1.315,-0.814,1.1121,-0.547,"Down" -"491",2002,-0.547,0.181,1.302,-0.771,-1.315,0.45831,-0.315,"Down" -"492",2002,-0.315,-0.547,0.181,1.302,-0.771,0.7211,-1.603,"Down" -"493",2002,-1.603,-0.315,-0.547,0.181,1.302,0.7584,0.456,"Up" -"494",2002,0.456,-1.603,-0.315,-0.547,0.181,1.0578,0.049,"Up" -"495",2003,0.049,0.456,-1.603,-0.315,-0.547,1.0885,3.32,"Up" -"496",2003,3.32,0.049,0.456,-1.603,-0.315,1.2292,-0.048,"Down" -"497",2003,-0.048,3.32,0.049,0.456,-1.603,1.1308,2.247,"Up" -"498",2003,2.247,-0.048,3.32,0.049,0.456,1.4359,-0.654,"Down" -"499",2003,-0.654,2.247,-0.048,3.32,0.049,1.5452,-1.409,"Down" -"500",2003,-1.409,-0.654,2.247,-0.048,3.32,1.4676,1.939,"Up" -"501",2003,1.939,-1.409,-0.654,2.247,-0.048,1.5603,0,"Up" -"502",2003,0,1.939,-1.409,-0.654,2.247,1.4854,-0.141,"Down" -"503",2003,-0.141,0,1.939,-1.409,-0.654,1.3963,0.583,"Up" -"504",2003,0.583,-0.141,0,1.939,-1.409,1.3794,-1.443,"Down" -"505",2003,-1.443,0.583,-0.141,0,1.939,1.4321,-0.394,"Down" -"506",2003,-0.394,-1.443,0.583,-0.141,0,1.5346,-1.402,"Down" -"507",2003,-1.402,-0.394,-1.443,0.583,-0.141,1.3582,-1.57,"Down" -"508",2003,-1.57,-1.402,-0.394,-1.443,0.583,1.3352,-1.043,"Down" -"509",2003,-1.043,-1.57,-1.402,-0.394,-1.443,1.5608,1.022,"Up" -"510",2003,1.022,-1.043,-1.57,-1.402,-0.394,1.74455,-2.923,"Down" -"511",2003,-2.923,1.022,-1.043,-1.57,-1.402,1.5748,-1.616,"Down" -"512",2003,-1.616,-2.923,1.022,-1.043,-1.57,1.4359,1.305,"Up" -"513",2003,1.305,-1.616,-2.923,1.022,-1.043,1.4591,0.678,"Up" -"514",2003,0.678,1.305,-1.616,-2.923,1.022,1.5954,-2.285,"Down" -"515",2003,-2.285,0.678,1.305,-1.616,-2.923,1.5103,1.313,"Up" -"516",2003,1.313,-2.285,0.678,1.305,-1.616,1.57853,0.54,"Up" -"517",2003,0.54,1.313,-2.285,0.678,1.305,1.2585,-1.409,"Down" -"518",2003,-1.409,0.54,1.313,-2.285,0.678,1.4516,-0.544,"Down" -"519",2003,-0.544,-1.409,0.54,1.313,-2.285,1.4508,-0.645,"Down" -"520",2003,-0.645,-0.544,-1.409,0.54,1.313,1.4309,-1.009,"Down" -"521",2003,-1.009,-0.645,-0.544,-1.409,0.54,1.2768,0.757,"Up" -"522",2003,0.757,-1.009,-0.645,-0.544,-1.409,1.2382,-0.81,"Down" -"523",2003,-0.81,0.757,-1.009,-0.645,-0.544,1.307,-1.269,"Down" -"524",2003,-1.269,-0.81,0.757,-1.009,-0.645,1.2605,-0.16,"Down" -"525",2003,-0.16,-1.269,-0.81,0.757,-1.009,1.4893,2.143,"Up" -"526",2003,2.143,-0.16,-1.269,-0.81,0.757,1.4046,1.95,"Up" -"527",2003,1.95,2.143,-0.16,-1.269,-0.81,1.2508,-0.71,"Down" -"528",2003,-0.71,1.95,2.143,-0.16,-1.269,1.0756,-0.95,"Down" -"529",2003,-0.95,-0.71,1.95,2.143,-0.16,1.1941,1.322,"Up" -"530",2003,1.322,-0.95,-0.71,1.95,2.143,1.3982,-1.838,"Down" -"531",2003,-1.838,1.322,-0.95,-0.71,1.95,1.2292,0.719,"Up" -"532",2003,0.719,-1.838,1.322,-0.95,-0.71,1.4837,-1.314,"Down" -"533",2003,-1.314,0.719,-1.838,1.322,-0.95,1.3744,1.176,"Up" -"534",2003,1.176,-1.314,0.719,-1.838,1.322,1.2878,0.462,"Up" -"535",2003,0.462,1.176,-1.314,0.719,-1.838,1.3733,-0.754,"Down" -"536",2003,-0.754,0.462,1.176,-1.314,0.719,1.2089,-1.536,"Down" -"537",2003,-1.536,-0.754,0.462,1.176,-1.314,1.2566,0.956,"Up" -"538",2003,0.956,-1.536,-0.754,0.462,1.176,1.3327,-0.934,"Down" -"539",2003,-0.934,0.956,-1.536,-0.754,0.462,1.2992,0.826,"Up" -"540",2003,0.826,-0.934,0.956,-1.536,-0.754,1.3685,-2.583,"Down" -"541",2003,-2.583,0.826,-0.934,0.956,-1.536,1.255,-0.836,"Down" -"542",2003,-0.836,-2.583,0.826,-0.934,0.956,1.4277,0.432,"Up" -"543",2003,0.432,-0.836,-2.583,0.826,-0.934,1.62,3.446,"Up" -"544",2003,3.446,0.432,-0.836,-2.583,0.826,1.8163,0.165,"Up" -"545",2003,0.165,3.446,0.432,-0.836,-2.583,1.5419,3.543,"Up" -"546",2003,3.543,0.165,3.446,0.432,-0.836,1.70042,0.424,"Up" -"547",2003,0.424,3.543,0.165,3.446,0.432,1.5551,0.874,"Up" -"548",2003,0.874,0.424,3.543,0.165,3.446,1.4734,0.189,"Up" -"549",2003,0.189,0.874,0.424,3.543,0.165,1.4391,2.298,"Up" -"550",2003,2.298,0.189,0.874,0.424,3.543,1.88371,-3.523,"Down" -"551",2003,-3.523,2.298,0.189,0.874,0.424,1.293,1.216,"Up" -"552",2003,1.216,-3.523,2.298,0.189,0.874,1.3334,-0.548,"Down" -"553",2003,-0.548,1.216,-3.523,2.298,0.189,1.3197,-0.164,"Down" -"554",2003,-0.164,-0.548,1.216,-3.523,2.298,1.2329,-0.578,"Down" -"555",2003,-0.578,-0.164,-0.548,1.216,-3.523,1.227,-1.774,"Down" -"556",2003,-1.774,-0.578,-0.164,-0.548,1.216,1.4955,1.214,"Up" -"557",2003,1.214,-1.774,-0.578,-0.164,-0.548,1.4616,2.612,"Up" -"558",2003,2.612,1.214,-1.774,-0.578,-0.164,1.5898,-0.505,"Down" -"559",2003,-0.505,2.612,1.214,-1.774,-0.578,1.3395,0.274,"Up" -"560",2003,0.274,-0.505,2.612,1.214,-1.774,1.2412,0.123,"Up" -"561",2003,0.123,0.274,-0.505,2.612,1.214,1.494,-0.186,"Down" -"562",2003,-0.186,0.123,0.274,-0.505,2.612,1.2354,-1.4,"Down" -"563",2003,-1.4,-0.186,0.123,0.274,-0.505,1.2937,0.646,"Up" -"564",2003,0.646,-1.4,-0.186,0.123,0.274,1.2753,-0.376,"Down" -"565",2003,-0.376,0.646,-1.4,-0.186,0.123,1.1416,1.95,"Up" -"566",2003,1.95,-0.376,0.646,-1.4,-0.186,1.131,0.63,"Up" -"567",2003,0.63,1.95,-0.376,0.646,-1.4,1.4602,-1.224,"Down" -"568",2003,-1.224,0.63,1.95,-0.376,0.646,1.5876,1.554,"Up" -"569",2003,1.554,-1.224,0.63,1.95,-0.376,1.4306,-0.176,"Down" -"570",2003,-0.176,1.554,-1.224,0.63,1.95,1.1187,2.17,"Up" -"571",2003,2.17,-0.176,1.554,-1.224,0.63,1.6312,0.839,"Up" -"572",2003,0.839,2.17,-0.176,1.554,-1.224,1.6672,-0.826,"Down" -"573",2003,-0.826,0.839,2.17,-0.176,1.554,1.6481,-1.385,"Down" -"574",2003,-1.385,-0.826,0.839,2.17,-0.176,1.3358,1.783,"Up" -"575",2003,1.783,-1.385,-0.826,0.839,2.17,1.273,0.328,"Up" -"576",2003,0.328,1.783,-1.385,-0.826,0.839,1.5256,-0.1,"Down" -"577",2003,-0.1,0.328,1.783,-1.385,-0.826,1.78851,-0.068,"Down" -"578",2003,-0.068,-0.1,0.328,1.783,-1.385,1.3975,1.504,"Up" -"579",2003,1.504,-0.068,-0.1,0.328,1.783,1.5543,-0.38,"Down" -"580",2003,-0.38,1.504,-0.068,-0.1,0.328,1.4463,0.846,"Up" -"581",2003,0.846,-0.38,1.504,-0.068,-0.1,1.6496,-0.51,"Down" -"582",2003,-0.51,0.846,-0.38,1.504,-0.068,1.5319,-1.006,"Down" -"583",2003,-1.006,-0.51,0.846,-0.38,1.504,1.3796,1.428,"Up" -"584",2003,1.428,-1.006,-0.51,0.846,-0.38,1.3261,1.253,"Up" -"585",2003,1.253,1.428,-1.006,-0.51,0.846,1.3788,-0.297,"Down" -"586",2003,-0.297,1.253,1.428,-1.006,-0.51,1.4181,-0.32,"Down" -"587",2003,-0.32,-0.297,1.253,1.428,-1.006,1.4018,0.787,"Up" -"588",2003,0.787,-0.32,-0.297,1.253,1.428,1.5087,-0.25,"Down" -"589",2003,-0.25,0.787,-0.32,-0.297,1.253,1.5055,-2.492,"Down" -"590",2003,-2.492,-0.25,0.787,-0.32,-0.297,1.3757,-0.113,"Down" -"591",2003,-0.113,-2.492,-0.25,0.787,-0.32,1.5053,0.401,"Up" -"592",2003,0.401,-0.113,-2.492,-0.25,0.787,1.4578,0.915,"Up" -"593",2003,0.915,0.401,-0.113,-2.492,-0.25,1.4485,0.145,"Up" -"594",2003,0.145,0.915,0.401,-0.113,-2.492,1.201,1.957,"Up" -"595",2003,1.957,0.145,0.915,0.401,-0.113,1.532,0.183,"Up" -"596",2003,0.183,1.957,0.145,0.915,0.401,1.559,-0.376,"Down" -"597",2003,-0.376,0.183,1.957,0.145,0.915,1.6858,1.469,"Up" -"598",2003,1.469,-0.376,0.183,1.957,0.145,1.6888,0.354,"Up" -"599",2003,0.354,1.469,-0.376,0.183,1.957,1.6625,0.472,"Up" -"600",2003,0.472,0.354,1.469,-0.376,0.183,1.4502,1.511,"Up" -"601",2003,1.511,0.472,0.354,1.469,-0.376,1.6187,0.395,"Up" -"602",2003,0.395,1.511,0.472,0.354,1.469,1.6931,-0.24,"Down" -"603",2003,-0.24,0.395,1.511,0.472,0.354,1.8372,-1.198,"Down" -"604",2003,-1.198,-0.24,0.395,1.511,0.472,1.307,0.913,"Up" -"605",2003,0.913,-1.198,-0.24,0.395,1.511,1.2754,1.283,"Up" -"606",2003,1.283,0.913,-1.198,-0.24,0.395,1.52,0.103,"Up" -"607",2003,0.103,1.283,0.913,-1.198,-0.24,1.5531,-0.991,"Down" -"608",2003,-0.991,0.103,1.283,0.913,-1.198,1.2716,2.238,"Up" -"609",2003,2.238,-0.991,0.103,1.283,0.913,1.3459,0.091,"Up" -"610",2003,0.091,2.238,-0.991,0.103,1.283,1.4797,-0.155,"Down" -"611",2003,-0.155,0.091,2.238,-0.991,0.103,1.4889,-1.524,"Down" -"612",2003,-1.524,-0.155,0.091,2.238,-0.991,1.5301,0.1,"Up" -"613",2003,0.1,-1.524,-0.155,0.091,2.238,1.698,-1.411,"Down" -"614",2003,-1.411,0.1,-1.524,-0.155,0.091,1.3981,0.184,"Up" -"615",2003,0.184,-1.411,0.1,-1.524,-0.155,1.3883,-0.827,"Down" -"616",2003,-0.827,0.184,-1.411,0.1,-1.524,1.4592,1.077,"Up" -"617",2003,1.077,-0.827,0.184,-1.411,0.1,1.3874,-0.974,"Down" -"618",2003,-0.974,1.077,-0.827,0.184,-1.411,1.2678,-0.176,"Down" -"619",2003,-0.176,-0.974,1.077,-0.827,0.184,1.5872,0.802,"Up" -"620",2003,0.802,-0.176,-0.974,1.077,-0.827,1.4602,1.164,"Up" -"621",2003,1.164,0.802,-0.176,-0.974,1.077,1.5193,-0.81,"Down" -"622",2003,-0.81,1.164,0.802,-0.176,-0.974,0.7759,1.899,"Up" -"623",2003,1.899,-0.81,1.164,0.802,-0.176,1.4291,0.34,"Up" -"624",2003,0.34,1.899,-0.81,1.164,0.802,1.5657,-0.559,"Down" -"625",2003,-0.559,0.34,1.899,-0.81,1.164,1.618,-1.348,"Down" -"626",2003,-1.348,-0.559,0.34,1.899,-0.81,1.4657,0.955,"Up" -"627",2003,0.955,-1.348,-0.559,0.34,1.899,1.2127,0.573,"Up" -"628",2003,0.573,0.955,-1.348,-0.559,0.34,1.4489,-0.343,"Down" -"629",2003,-0.343,0.573,0.955,-1.348,-0.559,1.5186,-0.633,"Down" -"630",2003,-0.633,-0.343,0.573,0.955,-1.348,1.662,-1.243,"Down" -"631",2003,-1.243,-0.633,-0.343,0.573,0.955,1.6614,1.181,"Up" -"632",2003,1.181,-1.243,-0.633,-0.343,0.573,1.3652,-1.462,"Down" -"633",2003,-1.462,1.181,-1.243,-0.633,-0.343,1.2542,0.951,"Up" -"634",2003,0.951,-1.462,1.181,-1.243,-0.633,1.4397,0.051,"Up" -"635",2003,0.051,0.951,-1.462,1.181,-1.243,1.3627,-0.709,"Down" -"636",2003,-0.709,0.051,0.951,-1.462,1.181,1.559,1.74,"Up" -"637",2003,1.74,-0.709,0.051,0.951,-1.462,1.3975,-0.216,"Down" -"638",2003,-0.216,1.74,-0.709,0.051,0.951,1.3286,-0.727,"Down" -"639",2003,-0.727,-0.216,1.74,-0.709,0.051,1.5089,-0.181,"Down" -"640",2003,-0.181,-0.727,-0.216,1.74,-0.709,1.3919,0.286,"Up" -"641",2003,0.286,-0.181,-0.727,-0.216,1.74,1.608,-1.026,"Down" -"642",2003,-1.026,0.286,-0.181,-0.727,-0.216,1.3906,0.272,"Up" -"643",2003,0.272,-1.026,0.286,-0.181,-0.727,1.3187,-1.766,"Down" -"644",2003,-1.766,0.272,-1.026,0.286,-0.181,1.3517,0.168,"Up" -"645",2003,0.168,-1.766,0.272,-1.026,0.286,1.491,0.728,"Up" -"646",2003,0.728,0.168,-1.766,0.272,-1.026,1.3893,0.356,"Up" -"647",2003,0.356,0.728,0.168,-1.766,0.272,1.0866,0.307,"Up" -"648",2003,0.307,0.356,0.728,0.168,-1.766,1.0222,0.995,"Up" -"649",2003,0.995,0.307,0.356,0.728,0.168,1.1323,-0.638,"Down" -"650",2003,-0.638,0.995,0.307,0.356,0.728,1.2088,0.659,"Up" -"651",2003,0.659,-0.638,0.995,0.307,0.356,1.1868,0.016,"Up" -"652",2003,0.016,0.659,-0.638,0.995,0.307,0.63637,0.916,"Up" -"653",2003,0.916,0.016,0.659,-0.638,0.995,1.1276,0.261,"Up" -"654",2003,0.261,0.916,0.016,0.659,-0.638,1.3006,-0.205,"Down" -"655",2003,-0.205,0.261,0.916,0.016,0.659,1.2108,0.297,"Up" -"656",2003,0.297,-0.205,0.261,0.916,0.016,1.4071,-1.018,"Down" -"657",2003,-1.018,0.297,-0.205,0.261,0.916,1.3089,0.065,"Up" -"658",2003,0.065,-1.018,0.297,-0.205,0.261,0.9717,0.304,"Up" -"659",2003,0.304,0.065,-1.018,0.297,-0.205,1.1787,0.006,"Up" -"660",2003,0.006,0.304,0.065,-1.018,0.297,1.0514,0.607,"Up" -"661",2003,0.607,0.006,0.304,0.065,-1.018,1.1652,0.516,"Up" -"662",2003,0.516,0.607,0.006,0.304,0.065,0.9451,1.387,"Up" -"663",2003,1.387,0.516,0.607,0.006,0.304,1.4705,0.419,"Up" -"664",2003,0.419,1.387,0.516,0.607,0.006,1.6756,0.166,"Up" -"665",2003,0.166,0.419,1.387,0.516,0.607,1.4539,-0.64,"Down" -"666",2003,-0.64,0.166,0.419,1.387,0.516,1.4652,1.004,"Up" -"667",2003,1.004,-0.64,0.166,0.419,1.387,1.2993,-0.821,"Down" -"668",2003,-0.821,1.004,-0.64,0.166,0.419,1.4148,-1.197,"Down" -"669",2003,-1.197,-0.821,1.004,-0.64,0.166,1.5821,0.544,"Up" -"670",2003,0.544,-1.197,-0.821,1.004,-0.64,1.3359,0.217,"Up" -"671",2003,0.217,0.544,-1.197,-0.821,1.004,1.2367,-0.375,"Down" -"672",2003,-0.375,0.217,0.544,-1.197,-0.821,1.1513,1.43,"Up" -"673",2003,1.43,-0.375,0.217,0.544,-1.197,1.4032,-0.325,"Down" -"674",2003,-0.325,1.43,-0.375,0.217,0.544,1.33821,1.327,"Up" -"675",2003,1.327,-0.325,1.43,-0.375,0.217,1.4988,-0.316,"Down" -"676",2003,-0.316,1.327,-0.325,1.43,-0.375,1.5186,-1.301,"Down" -"677",2003,-1.301,-0.316,1.327,-0.325,1.43,1.2788,0.607,"Up" -"678",2003,0.607,-1.301,-0.316,1.327,-0.325,1.3017,-1.91,"Down" -"679",2003,-1.91,0.607,-1.301,-0.316,1.327,1.556,-0.605,"Down" -"680",2003,-0.605,-1.91,0.607,-1.301,-0.316,1.53,-0.64,"Down" -"681",2003,-0.64,-0.605,-1.91,0.607,-1.301,1.4725,0.976,"Up" -"682",2003,0.976,-0.64,-0.605,-1.91,0.607,1.3665,-1.054,"Down" -"683",2003,-1.054,0.976,-0.64,-0.605,-1.91,1.5905,2.234,"Up" -"684",2003,2.234,-1.054,0.976,-0.64,-0.605,1.5663,0.198,"Up" -"685",2003,0.198,2.234,-1.054,0.976,-0.64,1.2693,0.942,"Up" -"686",2003,0.942,0.198,2.234,-1.054,0.976,1.5705,0.437,"Up" -"687",2003,0.437,0.942,0.198,2.234,-1.054,1.0258,0.474,"Up" -"688",2003,0.474,0.437,0.942,0.198,2.234,1.2795,-0.526,"Down" -"689",2003,-0.526,0.474,0.437,0.942,0.198,1.2625,0.479,"Up" -"690",2003,0.479,-0.526,0.474,0.437,0.942,1.5787,-0.065,"Down" -"691",2003,-0.065,0.479,-0.526,0.474,0.437,1.1081,0.702,"Up" -"692",2003,0.702,-0.065,0.479,-0.526,0.474,1.0405,0.395,"Up" -"693",2003,0.395,0.702,-0.065,0.479,-0.526,1.2719,-0.259,"Down" -"694",2003,-0.259,0.395,0.702,-0.065,0.479,1.5211,0.316,"Up" -"695",2003,0.316,-0.259,0.395,0.702,-0.065,1.4177,-1.024,"Down" -"696",2003,-1.024,0.316,-0.259,0.395,0.702,1.352,0.516,"Up" -"697",2003,0.516,-1.024,0.316,-0.259,0.395,1.1726,0.129,"Up" -"698",2003,0.129,0.516,-1.024,0.316,-0.259,1.498,-1.498,"Down" -"699",2003,-1.498,0.129,0.516,-1.024,0.316,1.6472,0.331,"Up" -"700",2003,0.331,-1.498,0.129,0.516,-1.024,1.6043,-0.47,"Down" -"701",2003,-0.47,0.331,-1.498,0.129,0.516,1.4203,0.216,"Up" -"702",2003,0.216,-0.47,0.331,-1.498,0.129,1.3718,1.519,"Up" -"703",2003,1.519,0.216,-0.47,0.331,-1.498,1.6292,0.126,"Up" -"704",2003,0.126,1.519,0.216,-0.47,0.331,1.5626,-0.112,"Down" -"705",2003,-0.112,0.126,1.519,0.216,-0.47,1.6297,0.36,"Up" -"706",2003,0.36,-0.112,0.126,1.519,0.216,1.4989,0.791,"Up" -"707",2003,0.791,0.36,-0.112,0.126,1.519,1.3782,-0.545,"Down" -"708",2003,-0.545,0.791,0.36,-0.112,0.126,1.4176,-0.137,"Down" -"709",2003,-0.137,-0.545,0.791,0.36,-0.112,1.4018,0.593,"Up" -"710",2003,0.593,-0.137,-0.545,0.791,0.36,1.4539,-0.457,"Down" -"711",2003,-0.457,0.593,-0.137,-0.545,0.791,1.4405,-0.579,"Down" -"712",2003,-0.579,-0.457,0.593,-0.137,-0.545,1.2436,-0.052,"Down" -"713",2003,-0.052,-0.579,-0.457,0.593,-0.137,1.1625,1.143,"Up" -"714",2003,1.143,-0.052,-0.579,-0.457,0.593,1.3493,-0.011,"Down" -"715",2003,-0.011,1.143,-0.052,-0.579,-0.457,1.383,-0.762,"Down" -"716",2003,-0.762,-0.011,1.143,-0.052,-0.579,1.3561,-0.64,"Down" -"717",2003,-0.64,-0.762,-0.011,1.143,-0.052,1.3743,-0.908,"Down" -"718",2003,-0.908,-0.64,-0.762,-0.011,1.143,1.3543,0.802,"Up" -"719",2003,0.802,-0.908,-0.64,-0.762,-0.011,1.3262,-0.843,"Down" -"720",2003,-0.843,0.802,-0.908,-0.64,-0.762,1.3267,0.158,"Up" -"721",2003,0.158,-0.843,0.802,-0.908,-0.64,1.2738,1.623,"Up" -"722",2003,1.623,0.158,-0.843,0.802,-0.908,1.3028,0.172,"Up" -"723",2003,0.172,1.623,0.158,-0.843,0.802,1.3337,0.433,"Up" -"724",2003,0.433,0.172,1.623,0.158,-0.843,1.0977,-0.024,"Down" -"725",2003,-0.024,0.433,0.172,1.623,0.158,0.48722,1.126,"Up" -"726",2003,1.126,-0.024,0.433,0.172,1.623,1.375,-0.327,"Down" -"727",2003,-0.327,1.126,-0.024,0.433,0.172,1.3832,-0.177,"Down" -"728",2003,-0.177,-0.327,1.126,-0.024,0.433,1.4417,0.469,"Up" -"729",2003,0.469,-0.177,-0.327,1.126,-0.024,1.4631,-0.768,"Down" -"730",2003,-0.768,0.469,-0.177,-0.327,1.126,1.2659,0.735,"Up" -"731",2003,0.735,-0.768,0.469,-0.177,-0.327,1.2189,-0.853,"Down" -"732",2003,-0.853,0.735,-0.768,0.469,-0.177,1.4655,-0.107,"Down" -"733",2003,-0.107,-0.853,0.735,-0.768,0.469,1.444,1.148,"Up" -"734",2003,1.148,-0.107,-0.853,0.735,-0.768,1.4411,0.274,"Up" -"735",2003,0.274,1.148,-0.107,-0.853,0.735,1.2231,-0.568,"Down" -"736",2003,-0.568,0.274,1.148,-0.107,-0.853,1.5208,0.664,"Up" -"737",2003,0.664,-0.568,0.274,1.148,-0.107,1.5479,0.126,"Up" -"738",2003,0.126,0.664,-0.568,0.274,1.148,1.4417,1.18,"Up" -"739",2003,1.18,0.126,0.664,-0.568,0.274,1.5799,-0.048,"Down" -"740",2003,-0.048,1.18,0.126,0.664,-0.568,1.6573,0.393,"Up" -"741",2003,0.393,-0.048,1.18,0.126,0.664,1.2517,0.282,"Up" -"742",2003,0.282,0.393,-0.048,1.18,0.126,1.1453,-0.181,"Down" -"743",2003,-0.181,0.282,0.393,-0.048,1.18,0.51806,0.169,"Up" -"744",2003,0.169,-0.181,0.282,0.393,-0.048,0.35607,1.24,"Up" -"745",2003,1.24,0.169,-0.181,0.282,0.393,1.0588,0.014,"Up" -"746",2003,0.014,1.24,0.169,-0.181,0.282,1.0126,0.205,"Up" -"747",2004,0.205,0.014,1.24,0.169,-0.181,1.0275,-0.309,"Down" -"748",2004,-0.309,0.205,0.014,1.24,0.169,1.1532,1.24,"Up" -"749",2004,1.24,-0.309,0.205,0.014,1.24,1.5782,0.129,"Up" -"750",2004,0.129,1.24,-0.309,0.205,0.014,1.4945,0.237,"Up" -"751",2004,0.237,0.129,1.24,-0.309,0.205,1.7049,0.496,"Up" -"752",2004,0.496,0.237,0.129,1.24,-0.309,1.8684,-0.889,"Down" -"753",2004,-0.889,0.496,0.237,0.129,1.24,1.7207,0.479,"Up" -"754",2004,0.479,-0.889,0.496,0.237,0.129,1.5102,-0.533,"Down" -"755",2004,-0.533,0.479,-0.889,0.496,0.237,1.5959,0.829,"Up" -"756",2004,0.829,-0.533,0.479,-0.889,0.496,1.5146,0.135,"Up" -"757",2004,0.135,0.829,-0.533,0.479,-0.889,1.695,0.687,"Up" -"758",2004,0.687,0.135,0.829,-0.533,0.479,1.7211,-0.093,"Down" -"759",2004,-0.093,0.687,0.135,0.829,-0.533,1.6982,0.777,"Up" -"760",2004,0.777,-0.093,0.687,0.135,0.829,1.7576,-0.321,"Down" -"761",2004,-0.321,0.777,-0.093,0.687,0.135,1.6937,-0.209,"Down" -"762",2004,-0.209,-0.321,0.777,-0.093,0.687,1.5612,1.211,"Up" -"763",2004,1.211,-0.209,-0.321,0.777,-0.093,1.4806,-0.98,"Down" -"764",2004,-0.98,1.211,-0.209,-0.321,0.777,1.6731,-1.361,"Down" -"765",2004,-1.361,-0.98,1.211,-0.209,-0.321,1.842,0.499,"Up" -"766",2004,0.499,-1.361,-0.98,1.211,-0.209,1.9219,-0.263,"Down" -"767",2004,-0.263,0.499,-1.361,-0.98,1.211,1.635,0.365,"Up" -"768",2004,0.365,-0.263,0.499,-1.361,-0.98,1.5992,0.068,"Up" -"769",2004,0.068,0.365,-0.263,0.499,-1.361,1.4769,-0.837,"Down" -"770",2004,-0.837,0.068,0.365,-0.263,0.499,1.6348,0.184,"Up" -"771",2004,0.184,-0.837,0.068,0.365,-0.263,1.5666,1.256,"Up" -"772",2004,1.256,0.184,-0.837,0.068,0.365,1.4776,-0.258,"Down" -"773",2004,-0.258,1.256,0.184,-0.837,0.068,1.3035,0.503,"Up" -"774",2004,0.503,-0.258,1.256,0.184,-0.837,1.4039,1.067,"Up" -"775",2004,1.067,0.503,-0.258,1.256,0.184,1.6993,-0.488,"Down" -"776",2004,-0.488,1.067,0.503,-0.258,1.256,1.4643,-0.547,"Down" -"777",2004,-0.547,-0.488,1.067,0.503,-0.258,1.3292,0.976,"Up" -"778",2004,0.976,-0.547,-0.488,1.067,0.503,1.3965,-0.447,"Down" -"779",2004,-0.447,0.976,-0.547,-0.488,1.067,1.3824,-0.413,"Down" -"780",2004,-0.413,-0.447,0.976,-0.547,-0.488,1.5628,-0.257,"Down" -"781",2004,-0.257,-0.413,-0.447,0.976,-0.547,1.4796,-0.273,"Down" -"782",2004,-0.273,-0.257,-0.413,-0.447,0.976,1.3804,-0.167,"Down" -"783",2004,-0.167,-0.273,-0.257,-0.413,-0.447,1.5436,0.402,"Up" -"784",2004,0.402,-0.167,-0.273,-0.257,-0.413,1.3607,0.108,"Up" -"785",2004,0.108,0.402,-0.167,-0.273,-0.257,1.3839,0.003,"Up" -"786",2004,0.003,0.108,0.402,-0.167,-0.273,1.5404,0.963,"Up" -"787",2004,0.963,0.003,0.108,0.402,-0.167,1.4971,-0.594,"Down" -"788",2004,-0.594,0.963,0.003,0.108,0.402,1.476,0.168,"Up" -"789",2004,0.168,-0.594,0.963,0.003,0.108,1.3345,0.334,"Up" -"790",2004,0.334,0.168,-0.594,0.963,0.003,1.2658,0.172,"Up" -"791",2004,0.172,0.334,0.168,-0.594,0.963,1.3982,-0.835,"Down" -"792",2004,-0.835,0.172,0.334,0.168,-0.594,1.2544,-0.577,"Down" -"793",2004,-0.577,-0.835,0.172,0.334,0.168,1.4994,-1.463,"Down" -"794",2004,-1.463,-0.577,-0.835,0.172,0.334,1.6484,-1.522,"Down" -"795",2004,-1.522,-1.463,-0.577,-0.835,0.172,1.8899,1.246,"Up" -"796",2004,1.246,-1.522,-1.463,-0.577,-0.835,1.3885,-1.435,"Down" -"797",2004,-1.435,1.246,-1.522,-1.463,-0.577,1.6006,0.562,"Up" -"798",2004,0.562,-1.435,1.246,-1.522,-1.463,1.5007,1.175,"Up" -"799",2004,1.175,0.562,-1.435,1.246,-1.522,1.4901,-0.127,"Down" -"800",2004,-0.127,1.175,0.562,-1.435,1.246,1.3692,-1.117,"Down" -"801",2004,-1.117,-0.127,1.175,0.562,-1.435,1.4574,-1.296,"Down" -"802",2004,-1.296,-1.117,-0.127,1.175,0.562,1.4523,-0.132,"Down" -"803",2004,-0.132,-1.296,-1.117,-0.127,1.175,1.4582,-0.239,"Down" -"804",2004,-0.239,-0.132,-1.296,-1.117,-0.127,1.5278,1.637,"Up" -"805",2004,1.637,-0.239,-0.132,-1.296,-1.117,1.4717,-0.102,"Down" -"806",2004,-0.102,1.637,-0.239,-0.132,-1.296,1.3191,1.3,"Up" -"807",2004,1.3,-0.102,1.637,-0.239,-0.132,1.4055,0.404,"Up" -"808",2004,0.404,1.3,-0.102,1.637,-0.239,1.3324,-0.07,"Down" -"809",2004,-0.07,0.404,1.3,-0.102,1.637,1.5607,0.529,"Up" -"810",2004,0.529,-0.07,0.404,1.3,-0.102,1.5607,0.851,"Up" -"811",2004,0.851,0.529,-0.07,0.404,1.3,1.6292,0.767,"Up" -"812",2004,0.767,0.851,0.529,-0.07,0.404,1.4137,-0.209,"Down" -"813",2004,-0.209,0.767,0.851,0.529,-0.07,1.3977,-0.665,"Down" -"814",2004,-0.665,-0.209,0.767,0.851,0.529,1.4588,-0.106,"Down" -"815",2004,-0.106,-0.665,-0.209,0.767,0.851,1.1998,0.516,"Up" -"816",2004,0.516,-0.106,-0.665,-0.209,0.767,1.1024,-1.376,"Down" -"817",2004,-1.376,0.516,-0.106,-0.665,-0.209,1.4232,-0.112,"Down" -"818",2004,-0.112,-1.376,0.516,-0.106,-0.665,1.5477,0.059,"Up" -"819",2004,0.059,-0.112,-1.376,0.516,-0.106,1.5687,0.511,"Up" -"820",2004,0.511,0.059,-0.112,-1.376,0.516,1.4878,0.107,"Up" -"821",2004,0.107,0.511,0.059,-0.112,-1.376,1.1949,-1.556,"Down" -"822",2004,-1.556,0.107,0.511,0.059,-0.112,1.5085,0.531,"Up" -"823",2004,0.531,-1.556,0.107,0.511,0.059,1.7381,1.409,"Up" -"824",2004,1.409,0.531,-1.556,0.107,0.511,1.8267,0.059,"Up" -"825",2004,0.059,1.409,0.531,-1.556,0.107,1.3961,-0.445,"Down" -"826",2004,-0.445,0.059,1.409,0.531,-1.556,1.2906,0.227,"Up" -"827",2004,0.227,-0.445,0.059,1.409,0.531,1.518,-1.379,"Down" -"828",2004,-1.379,0.227,-0.445,0.059,1.409,1.8556,-0.759,"Down" -"829",2004,-0.759,-1.379,0.227,-0.445,0.059,1.859,-0.592,"Down" -"830",2004,-0.592,-0.759,-1.379,0.227,-0.445,1.6347,0.92,"Up" -"831",2004,0.92,-0.592,-0.759,-1.379,0.227,1.5716,0.184,"Up" -"832",2004,0.184,0.92,-0.592,-0.759,-1.379,1.6621,0.177,"Up" -"833",2004,0.177,0.184,0.92,-0.592,-0.759,1.469,-0.672,"Down" -"834",2004,-0.672,0.177,0.184,0.92,-0.592,1.5093,-1.373,"Down" -"835",2004,-1.373,-0.672,0.177,0.184,0.92,1.6536,-1.054,"Down" -"836",2004,-1.054,-1.373,-0.672,0.177,0.184,1.9184,0.766,"Up" -"837",2004,0.766,-1.054,-1.373,-0.672,0.177,1.5338,0.167,"Up" -"838",2004,0.167,0.766,-1.054,-1.373,-0.672,1.6976,-0.077,"Down" -"839",2004,-0.077,0.167,0.766,-1.054,-1.373,1.4111,-0.067,"Down" -"840",2004,-0.067,-0.077,0.167,0.766,-1.054,1.3359,-1.059,"Down" -"841",2004,-1.059,-0.067,-0.077,0.167,0.766,1.4301,0.682,"Up" -"842",2004,0.682,-1.059,-0.067,-0.077,0.167,1.353,-0.257,"Down" -"843",2004,-0.257,0.682,-1.059,-0.067,-0.077,1.5486,0.047,"Up" -"844",2004,0.047,-0.257,0.682,-1.059,-0.067,1.211,0.401,"Up" -"845",2004,0.401,0.047,-0.257,0.682,-1.059,1.2586,0.169,"Up" -"846",2004,0.169,0.401,0.047,-0.257,0.682,1.2275,1.61,"Up" -"847",2004,1.61,0.169,0.401,0.047,-0.257,1.5457,0.17,"Up" -"848",2004,0.17,1.61,0.169,0.401,0.047,1.3694,0.569,"Up" -"849",2004,0.569,0.17,1.61,0.169,0.401,1.4475,-0.054,"Down" -"850",2004,-0.054,0.569,0.17,1.61,0.169,1.1726,0.046,"Up" -"851",2004,0.046,-0.054,0.569,0.17,1.61,1.238,0.338,"Up" -"852",2004,0.338,0.046,-0.054,0.569,0.17,1.2517,-0.742,"Down" -"853",2004,-0.742,0.338,0.046,-0.054,0.569,1.2324,0.525,"Up" -"854",2004,0.525,-0.742,0.338,0.046,-0.054,1.1153,1.596,"Up" -"855",2004,1.596,0.525,-0.742,0.338,0.046,1.2118,0.154,"Up" -"856",2004,0.154,1.596,0.525,-0.742,0.338,1.1903,-0.95,"Down" -"857",2004,-0.95,0.154,1.596,0.525,-0.742,1.2768,0.454,"Up" -"858",2004,0.454,-0.95,0.154,1.596,0.525,1.1606,-0.984,"Down" -"859",2004,-0.984,0.454,-0.95,0.154,1.596,1.1794,0.597,"Up" -"860",2004,0.597,-0.984,0.454,-0.95,0.154,1.3459,0.137,"Up" -"861",2004,0.137,0.597,-0.984,0.454,-0.95,1.1684,-0.133,"Down" -"862",2004,-0.133,0.137,0.597,-0.984,0.454,1.2967,0.262,"Up" -"863",2004,0.262,-0.133,0.137,0.597,-0.984,1.5006,-0.416,"Down" -"864",2004,-0.416,0.262,-0.133,0.137,0.597,1.1239,0.364,"Up" -"865",2004,0.364,-0.416,0.262,-0.133,0.137,1.3823,0.851,"Up" -"866",2004,0.851,0.364,-0.416,0.262,-0.133,1.4442,-0.298,"Down" -"867",2004,-0.298,0.851,0.364,-0.416,0.262,1.3949,-0.545,"Down" -"868",2004,-0.545,-0.298,0.851,0.364,-0.416,1.8129,-0.095,"Down" -"869",2004,-0.095,-0.545,-0.298,0.851,0.364,1.3546,0.251,"Up" -"870",2004,0.251,-0.095,-0.545,-0.298,0.851,1.375,0.408,"Up" -"871",2004,0.408,0.251,-0.095,-0.545,-0.298,1.4738,-1.043,"Down" -"872",2004,-1.043,0.408,0.251,-0.095,-0.545,1.4957,-0.315,"Down" -"873",2004,-0.315,-1.043,0.408,0.251,-0.095,1.085,-0.815,"Down" -"874",2004,-0.815,-0.315,-1.043,0.408,0.251,1.2833,0.19,"Up" -"875",2004,0.19,-0.815,-0.315,-1.043,0.408,1.3286,-0.824,"Down" -"876",2004,-0.824,0.19,-0.815,-0.315,-1.043,1.4011,0.334,"Up" -"877",2004,0.334,-0.824,0.19,-0.815,-0.315,1.1863,0.138,"Up" -"878",2004,0.138,0.334,-0.824,0.19,-0.815,1.1146,0.071,"Up" -"879",2004,0.071,0.138,0.334,-0.824,0.19,1.1997,-0.329,"Down" -"880",2004,-0.329,0.071,0.138,0.334,-0.824,1.462,-0.43,"Down" -"881",2004,-0.43,-0.329,0.071,0.138,0.334,1.4087,-0.479,"Down" -"882",2004,-0.479,-0.43,-0.329,0.071,0.138,1.4503,-0.044,"Down" -"883",2004,-0.044,-0.479,-0.43,-0.329,0.071,1.3199,0.706,"Up" -"884",2004,0.706,-0.044,-0.479,-0.43,-0.329,1.4458,-1.334,"Down" -"885",2004,-1.334,0.706,-0.044,-0.479,-0.43,1.6795,0.271,"Up" -"886",2004,0.271,-1.334,0.706,-0.044,-0.479,1.6808,-0.97,"Down" -"887",2004,-0.97,0.271,-1.334,0.706,-0.044,1.3375,-0.196,"Down" -"888",2004,-0.196,-0.97,0.271,-1.334,0.706,1.4134,0.993,"Up" -"889",2004,0.993,-0.196,-0.97,0.271,-1.334,1.6108,0.054,"Up" -"890",2004,0.054,0.993,-0.196,-0.97,0.271,1.5543,0.457,"Up" -"891",2004,0.457,0.054,0.993,-0.196,-0.97,1.5301,0.117,"Up" -"892",2004,0.117,0.457,0.054,0.993,-0.196,1.2982,0.445,"Up" -"893",2004,0.445,0.117,0.457,0.054,0.993,1.276,-0.626,"Down" -"894",2004,-0.626,0.445,0.117,0.457,0.054,1.3383,-0.096,"Down" -"895",2004,-0.096,-0.626,0.445,0.117,0.457,1.3692,-1.632,"Down" -"896",2004,-1.632,-0.096,-0.626,0.445,0.117,1.3974,-1.548,"Down" -"897",2004,-1.548,-1.632,-0.096,-0.626,0.445,1.521,0.117,"Up" -"898",2004,0.117,-1.548,-1.632,-0.096,-0.626,1.086,1.297,"Up" -"899",2004,1.297,0.117,-1.548,-1.632,-0.096,1.2456,-0.301,"Down" -"900",2004,-0.301,1.297,0.117,-1.548,-1.632,1.4104,-1.168,"Down" -"901",2004,-1.168,-0.301,1.297,0.117,-1.548,1.4051,0.148,"Up" -"902",2004,0.148,-1.168,-0.301,1.297,0.117,1.1751,1.366,"Up" -"903",2004,1.366,0.148,-1.168,-0.301,1.297,1.2062,0.22,"Up" -"904",2004,0.22,1.366,0.148,-1.168,-0.301,1.2678,1.244,"Up" -"905",2004,1.244,0.22,1.366,0.148,-1.168,1.2825,-0.36,"Down" -"906",2004,-0.36,1.244,0.22,1.366,0.148,1.2494,0.652,"Up" -"907",2004,0.652,-0.36,1.244,0.22,1.366,1.1999,-0.243,"Down" -"908",2004,-0.243,0.652,-0.36,1.244,0.22,1.0219,0.047,"Up" -"909",2004,0.047,-0.243,0.652,-0.36,1.244,1.0925,0.8,"Up" -"910",2004,0.8,0.047,-0.243,0.652,-0.36,1.1922,0.012,"Up" -"911",2004,0.012,0.8,0.047,-0.243,0.652,1.0236,0.243,"Up" -"912",2004,0.243,0.012,0.8,0.047,-0.243,0.8454,-0.778,"Down" -"913",2004,-0.778,0.243,0.012,0.8,0.047,0.8431,0.463,"Up" -"914",2004,0.463,-0.778,0.243,0.012,0.8,1.1382,0.151,"Up" -"915",2004,0.151,0.463,-0.778,0.243,0.012,1.1421,1.121,"Up" -"916",2004,1.121,0.151,0.463,-0.778,0.243,1.1184,-0.418,"Down" -"917",2004,-0.418,1.121,0.151,0.463,-0.778,0.92417,0.689,"Up" -"918",2004,0.689,-0.418,1.121,0.151,0.463,1.2144,-0.449,"Down" -"919",2004,-0.449,0.689,-0.418,1.121,0.151,1.2463,0.189,"Up" -"920",2004,0.189,-0.449,0.689,-0.418,1.121,1.3713,0.495,"Up" -"921",2004,0.495,0.189,-0.449,0.689,-0.418,1.2612,0.169,"Up" -"922",2004,0.169,0.495,0.189,-0.449,0.689,1.2998,0.223,"Up" -"923",2004,0.223,0.169,0.495,0.189,-0.449,1.2045,-0.705,"Down" -"924",2004,-0.705,0.223,0.169,0.495,0.189,1.256,0.279,"Up" -"925",2004,0.279,-0.705,0.223,0.169,0.495,1.1139,0.449,"Up" -"926",2004,0.449,0.279,-0.705,0.223,0.169,1.4226,-0.563,"Down" -"927",2004,-0.563,0.449,0.279,-0.705,0.223,1.1976,0.633,"Up" -"928",2004,0.633,-0.563,0.449,0.279,-0.705,1.325,-1.394,"Down" -"929",2004,-1.394,0.633,-0.563,0.449,0.279,1.3799,-0.467,"Down" -"930",2004,-0.467,-1.394,0.633,-0.563,0.449,1.2863,0.158,"Up" -"931",2004,0.158,-0.467,-1.394,0.633,-0.563,1.2554,-0.594,"Down" -"932",2004,-0.594,0.158,-0.467,-1.394,0.633,1.2635,0.593,"Up" -"933",2004,0.593,-0.594,0.158,-0.467,-1.394,1.3966,0.427,"Up" -"934",2004,0.427,0.593,-0.594,0.158,-0.467,1.4029,-0.02,"Down" -"935",2004,-0.02,0.427,0.593,-0.594,0.158,1.748,1.518,"Up" -"936",2004,1.518,-0.02,0.427,0.593,-0.594,1.5822,0.324,"Up" -"937",2004,0.324,1.518,-0.02,0.427,0.593,1.534,-0.061,"Down" -"938",2004,-0.061,0.324,1.518,-0.02,0.427,1.4184,0.667,"Up" -"939",2004,0.667,-0.061,0.324,1.518,-0.02,1.4167,-0.998,"Down" -"940",2004,-0.998,0.667,-0.061,0.324,1.518,1.4475,-0.753,"Down" -"941",2004,-0.753,-0.998,0.667,-0.061,0.324,1.2916,0.201,"Up" -"942",2004,0.201,-0.753,-0.998,0.667,-0.061,0.9438,-0.227,"Down" -"943",2004,-0.227,0.201,-0.753,-0.998,0.667,1.3201,-0.73,"Down" -"944",2004,-0.73,-0.227,0.201,-0.753,-0.998,1.5462,-0.93,"Down" -"945",2004,-0.93,-0.73,-0.227,0.201,-0.753,1.4895,0.445,"Up" -"946",2004,0.445,-0.93,-0.73,-0.227,0.201,1.6451,0.525,"Up" -"947",2004,0.525,0.445,-0.93,-0.73,-0.227,1.3733,-0.969,"Down" -"948",2004,-0.969,0.525,0.445,-0.93,-0.73,1.7375,0.039,"Up" -"949",2004,0.039,-0.969,0.525,0.445,-0.93,1.6857,0.256,"Up" -"950",2004,0.256,0.039,-0.969,0.525,0.445,1.673,-0.972,"Down" -"951",2004,-0.972,0.256,0.039,-0.969,0.525,1.4696,-0.086,"Down" -"952",2004,-0.086,-0.972,0.256,0.039,-0.969,1.3805,1.488,"Up" -"953",2004,1.488,-0.086,-0.972,0.256,0.039,1.6854,1.288,"Up" -"954",2004,1.288,1.488,-0.086,-0.972,0.256,1.7419,0.181,"Up" -"955",2004,0.181,1.288,1.488,-0.086,-0.972,1.6282,0.245,"Up" -"956",2004,0.245,0.181,1.288,1.488,-0.086,1.5008,0.027,"Up" -"957",2004,0.027,0.245,0.181,1.288,1.488,1.3959,0.004,"Up" -"958",2004,0.004,0.027,0.245,0.181,1.288,1.659,1.118,"Up" -"959",2004,1.118,0.004,0.027,0.245,0.181,1.7675,1.616,"Up" -"960",2004,1.616,1.118,0.004,0.027,0.245,1.7827,0.387,"Up" -"961",2004,0.387,1.616,1.118,0.004,0.027,1.7244,-0.11,"Down" -"962",2004,-0.11,0.387,1.616,1.118,0.004,1.3587,-0.07,"Down" -"963",2004,-0.07,-0.11,0.387,1.616,1.118,1.4508,-0.101,"Down" -"964",2004,-0.101,-0.07,-0.11,0.387,1.616,1.5043,0.909,"Up" -"965",2004,0.909,-0.101,-0.07,-0.11,0.387,1.393,0.911,"Up" -"966",2004,0.911,0.909,-0.101,-0.07,-0.11,1.5316,-0.03,"Down" -"967",2004,-0.03,0.911,0.909,-0.101,-0.07,1.4533,-0.708,"Down" -"968",2004,-0.708,-0.03,0.911,0.909,-0.101,1.3644,0.554,"Up" -"969",2004,0.554,-0.708,-0.03,0.911,0.909,1.6842,0.136,"Up" -"970",2004,0.136,0.554,-0.708,-0.03,0.911,1.4567,-1.116,"Down" -"971",2004,-1.116,0.136,0.554,-0.708,-0.03,1.5266,0.59,"Up" -"972",2004,0.59,-1.116,0.136,0.554,-0.708,1.3927,-0.025,"Down" -"973",2004,-0.025,0.59,-1.116,0.136,0.554,1.4283,0.41,"Up" -"974",2004,0.41,-0.025,0.59,-1.116,0.136,1.1496,0.075,"Up" -"975",2004,0.075,0.41,-0.025,0.59,-1.116,0.50458,-0.345,"Down" -"976",2004,-0.345,0.075,0.41,-0.025,0.59,1.3785,-0.403,"Down" -"977",2004,-0.403,-0.345,0.075,0.41,-0.025,1.5535,1.495,"Up" -"978",2004,1.495,-0.403,-0.345,0.075,0.41,1.7728,-0.087,"Down" -"979",2004,-0.087,1.495,-0.403,-0.345,0.075,1.7749,0.071,"Up" -"980",2004,0.071,-0.087,1.495,-0.403,-0.345,1.5667,-0.077,"Down" -"981",2004,-0.077,0.071,-0.087,1.495,-0.403,1.3544,-1.107,"Down" -"982",2004,-1.107,-0.077,0.071,-0.087,1.495,1.5339,0.488,"Up" -"983",2004,0.488,-1.107,-0.077,0.071,-0.087,1.5252,0.544,"Up" -"984",2004,0.544,0.488,-1.107,-0.077,0.071,1.6247,-0.104,"Down" -"985",2004,-0.104,0.544,0.488,-1.107,-0.077,1.4437,0.899,"Up" -"986",2004,0.899,-0.104,0.544,0.488,-1.107,1.4361,0.392,"Up" -"987",2004,0.392,0.899,-0.104,0.544,0.488,1.5444,0.194,"Up" -"988",2004,0.194,0.392,0.899,-0.104,0.544,1.6958,-0.208,"Down" -"989",2004,-0.208,0.194,0.392,0.899,-0.104,1.7939,-0.749,"Down" -"990",2004,-0.749,-0.208,0.194,0.392,0.899,2.335,0.038,"Up" -"991",2004,0.038,-0.749,-0.208,0.194,0.392,1.4228,0.904,"Up" -"992",2004,0.904,0.038,-0.749,-0.208,0.194,1.4837,0.342,"Up" -"993",2004,0.342,0.904,0.038,-0.749,-0.208,1.3908,0.046,"Up" -"994",2004,0.046,0.342,0.904,0.038,-0.749,0.9561,-0.431,"Down" -"995",2004,-0.431,0.046,0.342,0.904,0.038,0.922,0.715,"Up" -"996",2004,0.715,-0.431,0.046,0.342,0.904,0.983,-0.007,"Down" -"997",2004,-0.007,0.715,-0.431,0.046,0.342,0.9259,0.008,"Up" -"998",2004,0.008,-0.007,0.715,-0.431,0.046,0.8298,-0.134,"Down" -"999",2005,-0.134,0.008,-0.007,0.715,-0.431,0.7869,-0.812,"Down" -"1000",2005,-0.812,-0.134,0.008,-0.007,0.715,1.5108,-1.167,"Down" -"1001",2005,-1.167,-0.812,-0.134,0.008,-0.007,1.721,-0.363,"Down" -"1002",2005,-0.363,-1.167,-0.812,-0.134,0.008,1.7389,0.351,"Up" -"1003",2005,0.351,-0.363,-1.167,-0.812,-0.134,1.5691,-0.143,"Down" -"1004",2005,-0.143,0.351,-0.363,-1.167,-0.812,1.4779,0.342,"Up" -"1005",2005,0.342,-0.143,0.351,-0.363,-1.167,1.4904,-0.61,"Down" -"1006",2005,-0.61,0.342,-0.143,0.351,-0.363,1.4888,0.398,"Up" -"1007",2005,0.398,-0.61,0.342,-0.143,0.351,1.5621,-0.863,"Down" -"1008",2005,-0.863,0.398,-0.61,0.342,-0.143,1.5103,0.6,"Up" -"1009",2005,0.6,-0.863,0.398,-0.61,0.342,1.3354,0.967,"Up" -"1010",2005,0.967,0.6,-0.863,0.398,-0.61,1.5968,-0.949,"Down" -"1011",2005,-0.949,0.967,0.6,-0.863,0.398,1.4987,-0.778,"Down" -"1012",2005,-0.778,-0.949,0.967,0.6,-0.863,1.692,-0.641,"Down" -"1013",2005,-0.641,-0.778,-0.949,0.967,0.6,1.6435,-0.353,"Down" -"1014",2005,-0.353,-0.641,-0.778,-0.949,0.967,1.4946,0.4,"Up" -"1015",2005,0.4,-0.353,-0.641,-0.778,-0.949,1.6104,0.484,"Up" -"1016",2005,0.484,0.4,-0.353,-0.641,-0.778,1.6359,0.041,"Up" -"1017",2005,0.041,0.484,0.4,-0.353,-0.641,1.6006,-0.272,"Down" -"1018",2005,-0.272,0.041,0.484,0.4,-0.353,1.6418,0.846,"Up" -"1019",2005,0.846,-0.272,0.041,0.484,0.4,1.6798,0.689,"Up" -"1020",2005,0.689,0.846,-0.272,0.041,0.484,1.68198,0.318,"Up" -"1021",2005,0.318,0.689,0.846,-0.272,0.041,1.56174,-0.277,"Down" -"1022",2005,-0.277,0.318,0.689,0.846,-0.272,1.55446,1.104,"Up" -"1023",2005,1.104,-0.277,0.318,0.689,0.846,1.64816,-0.109,"Down" -"1024",2005,-0.109,1.104,-0.277,0.318,0.689,1.34727,0.048,"Up" -"1025",2005,0.048,-0.109,1.104,-0.277,0.318,1.41617,-0.858,"Down" -"1026",2005,-0.858,0.048,-0.109,1.104,-0.277,1.51104,0.421,"Up" -"1027",2005,0.421,-0.858,0.048,-0.109,1.104,1.49167,0.693,"Up" -"1028",2005,0.693,0.421,-0.858,0.048,-0.109,1.5623,0.07,"Up" -"1029",2005,0.07,0.693,0.421,-0.858,0.048,1.29018,0.33,"Up" -"1030",2005,0.33,0.07,0.693,0.421,-0.858,1.52708,0.018,"Up" -"1031",2005,0.018,0.33,0.07,0.693,0.421,1.4901,-0.792,"Down" -"1032",2005,-0.792,0.018,0.33,0.07,0.693,1.58012,0.07,"Up" -"1033",2005,0.07,-0.792,0.018,0.33,0.07,1.5512,-1.451,"Down" -"1034",2005,-1.451,0.07,-0.792,0.018,0.33,1.74494,0.561,"Up" -"1035",2005,0.561,-1.451,0.07,-0.792,0.018,1.50109,0.789,"Up" -"1036",2005,0.789,0.561,-1.451,0.07,-0.792,1.51875,0.931,"Up" -"1037",2005,0.931,0.789,0.561,-1.451,0.07,1.52368,-0.641,"Down" -"1038",2005,-0.641,0.931,0.789,0.561,-1.451,1.79548,0.566,"Up" -"1039",2005,0.566,-0.641,0.931,0.789,0.561,1.70806,-0.027,"Down" -"1040",2005,-0.027,0.566,-0.641,0.931,0.789,1.56854,0.032,"Up" -"1041",2005,0.032,-0.027,0.566,-0.641,0.931,1.61624,0.962,"Up" -"1042",2005,0.962,0.032,-0.027,0.566,-0.641,1.63682,0.261,"Up" -"1043",2005,0.261,0.962,0.032,-0.027,0.566,1.48883,-0.48,"Down" -"1044",2005,-0.48,0.261,0.962,0.032,-0.027,1.52309,-1.019,"Down" -"1045",2005,-1.019,-0.48,0.261,0.962,0.032,1.70497,0.186,"Up" -"1046",2005,0.186,-1.019,-0.48,0.261,0.962,1.60402,-0.758,"Down" -"1047",2005,-0.758,0.186,-1.019,-0.48,0.261,1.44982,0.562,"Up" -"1048",2005,0.562,-0.758,0.186,-1.019,-0.48,1.43743,-0.752,"Down" -"1049",2005,-0.752,0.562,-0.758,0.186,-1.019,1.51353,-0.808,"Down" -"1050",2005,-0.808,-0.752,0.562,-0.758,0.186,1.65319,0.18,"Up" -"1051",2005,0.18,-0.808,-0.752,0.562,-0.758,1.58193,-0.047,"Down" -"1052",2005,-0.047,0.18,-0.808,-0.752,0.562,2.34437,-0.493,"Down" -"1053",2005,-0.493,-0.047,0.18,-0.808,-0.752,1.81944,-1.02,"Down" -"1054",2005,-1.02,-0.493,-0.047,0.18,-0.808,2.11447,0.07,"Up" -"1055",2005,0.07,-1.02,-0.493,-0.047,0.18,2.24687,-0.095,"Down" -"1056",2005,-0.095,0.07,-1.02,-0.493,-0.047,1.72172,0.244,"Up" -"1057",2005,0.244,-0.095,0.07,-1.02,-0.493,1.74622,-0.76,"Down" -"1058",2005,-0.76,0.244,-0.095,0.07,-1.02,2.22325,1.377,"Up" -"1059",2005,1.377,-0.76,0.244,-0.095,0.07,2.09711,-0.069,"Down" -"1060",2005,-0.069,1.377,-0.76,0.244,-0.095,2.21423,-0.65,"Down" -"1061",2005,-0.65,-0.069,1.377,-0.76,0.244,2.16869,0.273,"Up" -"1062",2005,0.273,-0.65,-0.069,1.377,-0.76,2.07977,0.448,"Up" -"1063",2005,0.448,0.273,-0.65,-0.069,1.377,1.8708,0.227,"Up" -"1064",2005,0.227,0.448,0.273,-0.65,-0.069,1.7974,0.597,"Up" -"1065",2005,0.597,0.227,0.448,0.273,-0.65,1.90062,-0.834,"Down" -"1066",2005,-0.834,0.597,0.227,0.448,0.273,1.66133,0.001,"Up" -"1067",2005,0.001,-0.834,0.597,0.227,0.448,1.52531,0.555,"Up" -"1068",2005,0.555,0.001,-0.834,0.597,0.227,1.97983,-1.176,"Down" -"1069",2005,-1.176,0.555,0.001,-0.834,0.597,2.04974,-1,"Down" -"1070",2005,-1,-1.176,0.555,0.001,-0.834,2.35504,-1.672,"Down" -"1071",2005,-1.672,-1,-1.176,0.555,0.001,2.68996,0.294,"Up" -"1072",2005,0.294,-1.672,-1,-1.176,0.555,2.18067,0.593,"Up" -"1073",2005,0.593,0.294,-1.672,-1,-1.176,2.1427,-1.325,"Down" -"1074",2005,-1.325,0.593,0.294,-1.672,-1,2.21705,1.974,"Up" -"1075",2005,1.974,-1.325,0.593,0.294,-1.672,2.30856,-0.675,"Down" -"1076",2005,-0.675,1.974,-1.325,0.593,0.294,2.04588,0.866,"Up" -"1077",2005,0.866,-0.675,1.974,-1.325,0.593,1.79503,-0.884,"Down" -"1078",2005,-0.884,0.866,-0.675,1.974,-1.325,1.95974,0.395,"Up" -"1079",2005,0.395,-0.884,0.866,-0.675,1.974,2.15152,-1.138,"Down" -"1080",2005,-1.138,0.395,-0.884,0.866,-0.675,2.18227,1.192,"Up" -"1081",2005,1.192,-1.138,0.395,-0.884,0.866,2.36236,0.459,"Up" -"1082",2005,0.459,1.192,-1.138,0.395,-0.884,1.98004,-0.085,"Down" -"1083",2005,-0.085,0.459,1.192,-1.138,0.395,2.16702,1.247,"Up" -"1084",2005,1.247,-0.085,0.459,1.192,-1.138,2.30648,-0.257,"Down" -"1085",2005,-0.257,1.247,-0.085,0.459,1.192,1.9971,-0.109,"Down" -"1086",2005,-0.109,-0.257,1.247,-0.085,0.459,1.7072,0.639,"Up" -"1087",2005,0.639,-0.109,-0.257,1.247,-0.085,1.85702,-1.071,"Down" -"1088",2005,-1.071,0.639,-0.109,-0.257,1.247,1.88966,0.419,"Up" -"1089",2005,0.419,-1.071,0.639,-0.109,-0.257,1.83497,-1.003,"Down" -"1090",2005,-1.003,0.419,-1.071,0.639,-0.109,1.99529,-0.458,"Down" -"1091",2005,-0.458,-1.003,0.419,-1.071,0.639,2.18859,1.009,"Up" -"1092",2005,1.009,-0.458,-1.003,0.419,-1.071,1.85686,0.696,"Up" -"1093",2005,0.696,1.009,-0.458,-1.003,0.419,1.88726,1.002,"Up" -"1094",2005,1.002,0.696,1.009,-0.458,-1.003,2.26632,0.466,"Up" -"1095",2005,0.466,1.002,0.696,1.009,-0.458,1.77586,-0.151,"Down" -"1096",2005,-0.151,0.466,1.002,0.696,1.009,1.63175,0.385,"Up" -"1097",2005,0.385,-0.151,0.466,1.002,0.696,1.68117,0.018,"Up" -"1098",2005,0.018,0.385,-0.151,0.466,1.002,1.681,-0.34,"Down" -"1099",2005,-0.34,0.018,0.385,-0.151,0.466,1.74218,0.639,"Up" -"1100",2005,0.639,-0.34,0.018,0.385,-0.151,1.65411,0.097,"Up" -"1101",2005,0.097,0.639,-0.34,0.018,0.385,1.38143,-0.607,"Down" -"1102",2005,-0.607,0.097,0.639,-0.34,0.018,1.84068,0.9,"Up" -"1103",2005,0.9,-0.607,0.097,0.639,-0.34,1.8101,0.172,"Up" -"1104",2005,0.172,0.9,-0.607,0.097,0.639,1.81379,-0.687,"Down" -"1105",2005,-0.687,0.172,0.9,-0.607,0.097,1.62752,0.125,"Up" -"1106",2005,0.125,-0.687,0.172,0.9,-0.607,1.54712,-0.021,"Down" -"1107",2005,-0.021,0.125,-0.687,0.172,0.9,1.85137,-0.216,"Down" -"1108",2005,-0.216,-0.021,0.125,-0.687,0.172,1.71549,0.524,"Up" -"1109",2005,0.524,-0.216,-0.021,0.125,-0.687,1.82412,-0.235,"Down" -"1110",2005,-0.235,0.524,-0.216,-0.021,0.125,1.66418,0.226,"Up" -"1111",2005,0.226,-0.235,0.524,-0.216,-0.021,1.66135,0.257,"Up" -"1112",2005,0.257,0.226,-0.235,0.524,-0.216,1.69815,0.222,"Up" -"1113",2005,0.222,0.257,0.226,-0.235,0.524,1.84044,0.363,"Up" -"1114",2005,0.363,0.222,0.257,0.226,-0.235,1.77604,0.495,"Up" -"1115",2005,0.495,0.363,0.222,0.257,0.226,2.40737,-0.071,"Down" -"1116",2005,-0.071,0.495,0.363,0.222,0.257,1.71453,-0.205,"Down" -"1117",2005,-0.205,-0.071,0.495,0.363,0.222,1.7207,0.022,"Up" -"1118",2005,0.022,-0.205,-0.071,0.495,0.363,1.82325,-1.083,"Down" -"1119",2005,-1.083,0.022,-0.205,-0.071,0.495,2.02992,-0.763,"Down" -"1120",2005,-0.763,-1.083,0.022,-0.205,-0.071,2.4188,-0.074,"Down" -"1121",2005,-0.074,-0.763,-1.083,0.022,-0.205,1.73862,0.914,"Up" -"1122",2005,0.914,-0.074,-0.763,-1.083,0.022,1.77241,-0.143,"Down" -"1123",2005,-0.143,0.914,-0.074,-0.763,-1.083,1.76928,-0.71,"Down" -"1124",2005,-0.71,-0.143,0.914,-0.074,-0.763,2.10949,0.261,"Up" -"1125",2005,0.261,-0.71,-0.143,0.914,-0.074,1.59382,0.883,"Up" -"1126",2005,0.883,0.261,-0.71,-0.143,0.914,1.80582,-0.834,"Down" -"1127",2005,-0.834,0.883,0.261,-0.71,-0.143,1.88347,0.245,"Up" -"1128",2005,0.245,-0.834,0.883,0.261,-0.71,1.95244,1.168,"Up" -"1129",2005,1.168,0.245,-0.834,0.883,0.261,1.90081,0.625,"Up" -"1130",2005,0.625,1.168,0.245,-0.834,0.883,1.8463,0.227,"Up" -"1131",2005,0.227,0.625,1.168,0.245,-0.834,1.93201,0.088,"Up" -"1132",2005,0.088,0.227,0.625,1.168,0.245,1.8125,0.262,"Up" -"1133",2005,0.262,0.088,0.227,0.625,1.168,2.04871,0.116,"Up" -"1134",2005,0.116,0.262,0.088,0.227,0.625,1.7164,-0.553,"Down" -"1135",2005,-0.553,0.116,0.262,0.088,0.227,1.5821,0.673,"Up" -"1136",2005,0.673,-0.553,0.116,0.262,0.088,2.04128,0.476,"Up" -"1137",2005,0.476,0.673,-0.553,0.116,0.262,2.06334,-0.661,"Down" -"1138",2005,-0.661,0.476,0.673,-0.553,0.116,2.12984,0.541,"Up" -"1139",2005,0.541,-0.661,0.476,0.673,-0.553,1.76699,-0.377,"Down" -"1140",2005,-0.377,0.541,-0.661,0.476,0.673,1.71758,0.173,"Up" -"1141",2005,0.173,-0.377,0.541,-0.661,0.476,1.93418,0.457,"Up" -"1142",2005,0.457,0.173,-0.377,0.541,-0.661,1.9458,0.56,"Up" -"1143",2005,0.56,0.457,0.173,-0.377,0.541,2.00168,-0.767,"Down" -"1144",2005,-0.767,0.56,0.457,0.173,-0.377,1.7896,0.095,"Up" -"1145",2005,0.095,-0.767,0.56,0.457,0.173,1.71687,0.71,"Up" -"1146",2005,0.71,0.095,-0.767,0.56,0.457,2.04312,0.074,"Up" -"1147",2005,0.074,0.71,0.095,-0.767,0.56,1.99998,-0.737,"Down" -"1148",2005,-0.737,0.074,0.71,0.095,-0.767,1.98122,-0.764,"Down" -"1149",2005,-0.764,-0.737,0.074,0.71,0.095,1.93028,-0.268,"Down" -"1150",2005,-0.268,-0.764,-0.737,0.074,0.71,1.80414,0.674,"Up" -"1151",2005,0.674,-0.268,-0.764,-0.737,0.074,1.89752,-0.183,"Down" -"1152",2005,-0.183,0.674,-0.268,-0.764,-0.737,2.17232,0.706,"Up" -"1153",2005,0.706,-0.183,0.674,-0.268,-0.764,1.94156,-0.599,"Down" -"1154",2005,-0.599,0.706,-0.183,0.674,-0.268,1.7093,0.283,"Up" -"1155",2005,0.283,-0.599,0.706,-0.183,0.674,1.56288,-1.178,"Down" -"1156",2005,-1.178,0.283,-0.599,0.706,-0.183,1.82041,0.074,"Up" -"1157",2005,0.074,-1.178,0.283,-0.599,0.706,1.85915,-0.1,"Down" -"1158",2005,-0.1,0.074,-1.178,0.283,-0.599,1.80817,0.057,"Up" -"1159",2005,0.057,-0.1,0.074,-1.178,0.283,1.55879,0.166,"Up" -"1160",2005,0.166,0.057,-0.1,0.074,-1.178,1.62133,-0.339,"Down" -"1161",2005,-0.339,0.166,0.057,-0.1,0.074,1.67862,-0.657,"Down" -"1162",2005,-0.657,-0.339,0.166,0.057,-0.1,1.9308,0.23,"Up" -"1163",2005,0.23,-0.657,-0.339,0.166,0.057,1.57111,-0.6,"Down" -"1164",2005,-0.6,0.23,-0.657,-0.339,0.166,1.54109,0.596,"Up" -"1165",2005,0.596,-0.6,0.23,-0.657,-0.339,1.59945,-0.319,"Down" -"1166",2005,-0.319,0.596,-0.6,0.23,-0.657,1.91647,0.986,"Up" -"1167",2005,0.986,-0.319,0.596,-0.6,0.23,2.36551,0.103,"Up" -"1168",2005,0.103,0.986,-0.319,0.596,-0.6,2.22986,-0.292,"Down" -"1169",2005,-0.292,0.103,0.986,-0.319,0.596,1.64016,1.262,"Up" -"1170",2005,1.262,-0.292,0.103,0.986,-0.319,1.93209,0.241,"Up" -"1171",2005,0.241,1.262,-0.292,0.103,0.986,2.0677,-0.379,"Down" -"1172",2005,-0.379,0.241,1.262,-0.292,0.103,1.95538,0.796,"Up" -"1173",2005,0.796,-0.379,0.241,1.262,-0.292,1.99256,-0.074,"Down" -"1174",2005,-0.074,0.796,-0.379,0.241,1.262,1.93805,-0.754,"Down" -"1175",2005,-0.754,-0.074,0.796,-0.379,0.241,2.08236,-0.328,"Down" -"1176",2005,-0.328,-0.754,-0.074,0.796,-0.379,1.98675,0.046,"Up" -"1177",2005,0.046,-0.328,-0.754,-0.074,0.796,2.07934,0.829,"Up" -"1178",2005,0.829,0.046,-0.328,-0.754,-0.074,3.15247,-0.557,"Down" -"1179",2005,-0.557,0.829,0.046,-0.328,-0.754,2.07654,-0.786,"Down" -"1180",2005,-0.786,-0.557,0.829,0.046,-0.328,2.31925,-0.912,"Down" -"1181",2005,-0.912,-0.786,-0.557,0.829,0.046,2.54815,0.365,"Up" -"1182",2005,0.365,-0.912,-0.786,-0.557,0.829,2.42472,0.055,"Up" -"1183",2005,0.055,0.365,-0.912,-0.786,-0.557,1.97302,0.028,"Up" -"1184",2005,0.028,0.055,0.365,-0.912,-0.786,2.02222,0.002,"Up" -"1185",2005,0.002,0.028,0.055,0.365,-0.912,1.97627,0.101,"Up" -"1186",2005,0.101,0.002,0.028,0.055,0.365,2.10698,0.887,"Up" -"1187",2005,0.887,0.101,0.002,0.028,0.055,2.17612,0.092,"Up" -"1188",2005,0.092,0.887,0.101,0.002,0.028,2.09752,-0.172,"Down" -"1189",2005,-0.172,0.092,0.887,0.101,0.002,2.09749,-0.997,"Down" -"1190",2005,-0.997,-0.172,0.092,0.887,0.101,2.34142,-1.489,"Down" -"1191",2005,-1.489,-0.997,-0.172,0.092,0.887,2.54678,-0.41,"Down" -"1192",2005,-0.41,-1.489,-0.997,-0.172,0.092,2.79203,0.37,"Up" -"1193",2005,0.37,-0.41,-1.489,-0.997,-0.172,2.12608,-0.717,"Down" -"1194",2005,-0.717,0.37,-0.41,-1.489,-0.997,2.19599,-0.207,"Down" -"1195",2005,-0.207,-0.717,0.37,-0.41,-1.489,2.29904,-0.607,"Down" -"1196",2005,-0.607,-0.207,-0.717,0.37,-0.41,2.49128,-0.071,"Down" -"1197",2005,-0.071,-0.607,-0.207,-0.717,0.37,2.35115,0.827,"Up" -"1198",2005,0.827,-0.071,-0.607,-0.207,-0.717,2.18894,0.297,"Up" -"1199",2005,0.297,0.827,-0.071,-0.607,-0.207,2.05457,-1.005,"Down" -"1200",2005,-1.005,0.297,0.827,-0.071,-0.607,2.19701,1.496,"Up" -"1201",2005,1.496,-1.005,0.297,0.827,-0.071,2.70359,-1.502,"Down" -"1202",2005,-1.502,1.496,-1.005,0.297,0.827,2.61725,0.152,"Up" -"1203",2005,0.152,-1.502,1.496,-1.005,0.297,2.47092,1.678,"Up" -"1204",2005,1.678,0.152,-1.502,1.496,-1.005,2.19779,-0.237,"Down" -"1205",2005,-0.237,1.678,0.152,-1.502,1.496,2.31247,-0.431,"Down" -"1206",2005,-0.431,-0.237,1.678,0.152,-1.502,2.46775,-1.048,"Down" -"1207",2005,-1.048,-0.431,-0.237,1.678,0.152,2.39537,1.655,"Up" -"1208",2005,1.655,-1.048,-0.431,-0.237,1.678,2.3794,0.718,"Up" -"1209",2005,0.718,1.655,-1.048,-0.431,-0.237,2.56747,-0.352,"Down" -"1210",2005,-0.352,0.718,1.655,-1.048,-0.431,2.45785,0.998,"Up" -"1211",2005,0.998,-0.352,0.718,1.655,-1.048,2.64809,0.426,"Up" -"1212",2005,0.426,0.998,-0.352,0.718,1.655,2.71663,0.016,"Up" -"1213",2005,0.016,0.426,0.998,-0.352,0.718,2.05051,0.219,"Up" -"1214",2005,0.219,0.016,0.426,0.998,-0.352,1.98758,-0.345,"Down" -"1215",2005,-0.345,0.219,0.016,0.426,0.998,1.96505,0.169,"Up" -"1216",2005,0.169,-0.345,0.219,0.016,0.426,2.21446,0.845,"Up" -"1217",2005,0.845,0.169,-0.345,0.219,0.016,2.37846,0.305,"Up" -"1218",2005,0.305,0.845,0.169,-0.345,0.219,1.77314,-0.078,"Down" -"1219",2005,-0.078,0.305,0.845,0.169,-0.345,1.89978,-0.385,"Down" -"1220",2005,-0.385,-0.078,0.305,0.845,0.169,2.35937,0.179,"Up" -"1221",2005,0.179,-0.385,-0.078,0.305,0.845,2.12158,0.941,"Up" -"1222",2005,0.941,0.179,-0.385,-0.078,0.305,2.29804,0.44,"Up" -"1223",2005,0.44,0.941,0.179,-0.385,-0.078,2.45329,0.527,"Up" -"1224",2005,0.527,0.44,0.941,0.179,-0.385,2.11735,0.508,"Up" -"1225",2005,0.508,0.527,0.44,0.941,0.179,2.29142,0.347,"Up" -"1226",2005,0.347,0.508,0.527,0.44,0.941,1.9854,0.209,"Up" -"1227",2005,0.209,0.347,0.508,0.527,0.44,0.72494,-0.851,"Down" -"1228",2005,-0.851,0.209,0.347,0.508,0.527,2.0169,0.002,"Up" -"1229",2005,0.002,-0.851,0.209,0.347,0.508,2.26834,-0.636,"Down" -"1230",2005,-0.636,0.002,-0.851,0.209,0.347,2.37469,1.216,"Up" -"1231",2005,1.216,-0.636,0.002,-0.851,0.209,2.61483,0.032,"Up" -"1232",2005,0.032,1.216,-0.636,0.002,-0.851,2.12558,-0.236,"Down" -"1233",2005,-0.236,0.032,1.216,-0.636,0.002,2.32584,0.128,"Up" -"1234",2005,0.128,-0.236,0.032,1.216,-0.636,2.11074,-0.501,"Down" -"1235",2005,-0.501,0.128,-0.236,0.032,1.216,2.09383,-0.122,"Down" -"1236",2005,-0.122,-0.501,0.128,-0.236,0.032,2.1783,0.281,"Up" -"1237",2005,0.281,-0.122,-0.501,0.128,-0.236,1.89629,0.084,"Up" -"1238",2005,0.084,0.281,-0.122,-0.501,0.128,1.87655,0.555,"Up" -"1239",2005,0.555,0.084,0.281,-0.122,-0.501,2.39002,0.419,"Up" -"1240",2005,0.419,0.555,0.084,0.281,-0.122,2.14552,-0.141,"Down" -"1241",2005,-0.141,0.419,0.555,0.084,0.281,2.18059,-0.285,"Down" -"1242",2005,-0.285,-0.141,0.419,0.555,0.084,2.58419,-0.584,"Down" -"1243",2005,-0.584,-0.285,-0.141,0.419,0.555,2.20881,-0.024,"Down" -"1244",2005,-0.024,-0.584,-0.285,-0.141,0.419,1.99669,0.252,"Up" -"1245",2005,0.252,-0.024,-0.584,-0.285,-0.141,2.06517,0.422,"Up" -"1246",2005,0.422,0.252,-0.024,-0.584,-0.285,1.8885,0.043,"Up" -"1247",2005,0.043,0.422,0.252,-0.024,-0.584,1.28581,-0.955,"Down" -"1248",2005,-0.955,0.043,0.422,0.252,-0.024,1.54047,0.13,"Up" -"1249",2005,0.13,-0.955,0.043,0.422,0.252,1.42236,-0.298,"Down" -"1250",2005,-0.298,0.13,-0.955,0.043,0.422,1.38254,-0.489,"Down" +"Year","Lag1","Lag2","Lag3","Lag4","Lag5","Volume","Today","Direction" +2001,0.381,-0.192,-2.624,-1.055,5.01,1.1913,0.959,"Up" +2001,0.959,0.381,-0.192,-2.624,-1.055,1.2965,1.032,"Up" +2001,1.032,0.959,0.381,-0.192,-2.624,1.4112,-0.623,"Down" +2001,-0.623,1.032,0.959,0.381,-0.192,1.276,0.614,"Up" +2001,0.614,-0.623,1.032,0.959,0.381,1.2057,0.213,"Up" +2001,0.213,0.614,-0.623,1.032,0.959,1.3491,1.392,"Up" +2001,1.392,0.213,0.614,-0.623,1.032,1.445,-0.403,"Down" +2001,-0.403,1.392,0.213,0.614,-0.623,1.4078,0.027,"Up" +2001,0.027,-0.403,1.392,0.213,0.614,1.164,1.303,"Up" +2001,1.303,0.027,-0.403,1.392,0.213,1.2326,0.287,"Up" 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+2005,-1.502,1.496,-1.005,0.297,0.827,2.61725,0.152,"Up" +2005,0.152,-1.502,1.496,-1.005,0.297,2.47092,1.678,"Up" +2005,1.678,0.152,-1.502,1.496,-1.005,2.19779,-0.237,"Down" +2005,-0.237,1.678,0.152,-1.502,1.496,2.31247,-0.431,"Down" +2005,-0.431,-0.237,1.678,0.152,-1.502,2.46775,-1.048,"Down" +2005,-1.048,-0.431,-0.237,1.678,0.152,2.39537,1.655,"Up" +2005,1.655,-1.048,-0.431,-0.237,1.678,2.3794,0.718,"Up" +2005,0.718,1.655,-1.048,-0.431,-0.237,2.56747,-0.352,"Down" +2005,-0.352,0.718,1.655,-1.048,-0.431,2.45785,0.998,"Up" +2005,0.998,-0.352,0.718,1.655,-1.048,2.64809,0.426,"Up" +2005,0.426,0.998,-0.352,0.718,1.655,2.71663,0.016,"Up" +2005,0.016,0.426,0.998,-0.352,0.718,2.05051,0.219,"Up" +2005,0.219,0.016,0.426,0.998,-0.352,1.98758,-0.345,"Down" +2005,-0.345,0.219,0.016,0.426,0.998,1.96505,0.169,"Up" +2005,0.169,-0.345,0.219,0.016,0.426,2.21446,0.845,"Up" +2005,0.845,0.169,-0.345,0.219,0.016,2.37846,0.305,"Up" +2005,0.305,0.845,0.169,-0.345,0.219,1.77314,-0.078,"Down" +2005,-0.078,0.305,0.845,0.169,-0.345,1.89978,-0.385,"Down" +2005,-0.385,-0.078,0.305,0.845,0.169,2.35937,0.179,"Up" +2005,0.179,-0.385,-0.078,0.305,0.845,2.12158,0.941,"Up" +2005,0.941,0.179,-0.385,-0.078,0.305,2.29804,0.44,"Up" +2005,0.44,0.941,0.179,-0.385,-0.078,2.45329,0.527,"Up" +2005,0.527,0.44,0.941,0.179,-0.385,2.11735,0.508,"Up" +2005,0.508,0.527,0.44,0.941,0.179,2.29142,0.347,"Up" +2005,0.347,0.508,0.527,0.44,0.941,1.9854,0.209,"Up" +2005,0.209,0.347,0.508,0.527,0.44,0.72494,-0.851,"Down" +2005,-0.851,0.209,0.347,0.508,0.527,2.0169,0.002,"Up" +2005,0.002,-0.851,0.209,0.347,0.508,2.26834,-0.636,"Down" +2005,-0.636,0.002,-0.851,0.209,0.347,2.37469,1.216,"Up" +2005,1.216,-0.636,0.002,-0.851,0.209,2.61483,0.032,"Up" +2005,0.032,1.216,-0.636,0.002,-0.851,2.12558,-0.236,"Down" +2005,-0.236,0.032,1.216,-0.636,0.002,2.32584,0.128,"Up" +2005,0.128,-0.236,0.032,1.216,-0.636,2.11074,-0.501,"Down" +2005,-0.501,0.128,-0.236,0.032,1.216,2.09383,-0.122,"Down" +2005,-0.122,-0.501,0.128,-0.236,0.032,2.1783,0.281,"Up" +2005,0.281,-0.122,-0.501,0.128,-0.236,1.89629,0.084,"Up" +2005,0.084,0.281,-0.122,-0.501,0.128,1.87655,0.555,"Up" +2005,0.555,0.084,0.281,-0.122,-0.501,2.39002,0.419,"Up" +2005,0.419,0.555,0.084,0.281,-0.122,2.14552,-0.141,"Down" +2005,-0.141,0.419,0.555,0.084,0.281,2.18059,-0.285,"Down" +2005,-0.285,-0.141,0.419,0.555,0.084,2.58419,-0.584,"Down" +2005,-0.584,-0.285,-0.141,0.419,0.555,2.20881,-0.024,"Down" +2005,-0.024,-0.584,-0.285,-0.141,0.419,1.99669,0.252,"Up" +2005,0.252,-0.024,-0.584,-0.285,-0.141,2.06517,0.422,"Up" +2005,0.422,0.252,-0.024,-0.584,-0.285,1.8885,0.043,"Up" +2005,0.043,0.422,0.252,-0.024,-0.584,1.28581,-0.955,"Down" +2005,-0.955,0.043,0.422,0.252,-0.024,1.54047,0.13,"Up" +2005,0.13,-0.955,0.043,0.422,0.252,1.42236,-0.298,"Down" +2005,-0.298,0.13,-0.955,0.043,0.422,1.38254,-0.489,"Down" diff --git a/Data/USArrests.csv b/Data/USArrests.csv deleted file mode 100644 index 1a5e424..0000000 --- a/Data/USArrests.csv +++ /dev/null @@ -1,51 +0,0 @@ -"","Murder","Assault","UrbanPop","Rape" -"Alabama",13.2,236,58,21.2 -"Alaska",10,263,48,44.5 -"Arizona",8.1,294,80,31 -"Arkansas",8.8,190,50,19.5 -"California",9,276,91,40.6 -"Colorado",7.9,204,78,38.7 -"Connecticut",3.3,110,77,11.1 -"Delaware",5.9,238,72,15.8 -"Florida",15.4,335,80,31.9 -"Georgia",17.4,211,60,25.8 -"Hawaii",5.3,46,83,20.2 -"Idaho",2.6,120,54,14.2 -"Illinois",10.4,249,83,24 -"Indiana",7.2,113,65,21 -"Iowa",2.2,56,57,11.3 -"Kansas",6,115,66,18 -"Kentucky",9.7,109,52,16.3 -"Louisiana",15.4,249,66,22.2 -"Maine",2.1,83,51,7.8 -"Maryland",11.3,300,67,27.8 -"Massachusetts",4.4,149,85,16.3 -"Michigan",12.1,255,74,35.1 -"Minnesota",2.7,72,66,14.9 -"Mississippi",16.1,259,44,17.1 -"Missouri",9,178,70,28.2 -"Montana",6,109,53,16.4 -"Nebraska",4.3,102,62,16.5 -"Nevada",12.2,252,81,46 -"New Hampshire",2.1,57,56,9.5 -"New Jersey",7.4,159,89,18.8 -"New Mexico",11.4,285,70,32.1 -"New York",11.1,254,86,26.1 -"North Carolina",13,337,45,16.1 -"North Dakota",0.8,45,44,7.3 -"Ohio",7.3,120,75,21.4 -"Oklahoma",6.6,151,68,20 -"Oregon",4.9,159,67,29.3 -"Pennsylvania",6.3,106,72,14.9 -"Rhode Island",3.4,174,87,8.3 -"South Carolina",14.4,279,48,22.5 -"South Dakota",3.8,86,45,12.8 -"Tennessee",13.2,188,59,26.9 -"Texas",12.7,201,80,25.5 -"Utah",3.2,120,80,22.9 -"Vermont",2.2,48,32,11.2 -"Virginia",8.5,156,63,20.7 -"Washington",4,145,73,26.2 -"West Virginia",5.7,81,39,9.3 -"Wisconsin",2.6,53,66,10.8 -"Wyoming",6.8,161,60,15.6 diff --git a/Data/Wage.csv b/Data/Wage.csv index 72bb0f8..efa86f5 100644 --- a/Data/Wage.csv +++ b/Data/Wage.csv @@ -1,3001 +1,3001 @@ -"","year","age","sex","maritl","race","education","region","jobclass","health","health_ins","logwage","wage" -"231655",2006,18,"1. Male","1. Never Married","1. White","1. < HS Grad","2. Middle Atlantic","1. Industrial","1. <=Good","2. No",4.31806333496276,75.0431540173515 -"86582",2004,24,"1. Male","1. Never Married","1. White","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",4.25527250510331,70.4760196469445 -"161300",2003,45,"1. Male","2. Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","1. <=Good","1. Yes",4.8750612633917,130.982177377461 -"155159",2003,43,"1. Male","2. Married","3. Asian","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",5.04139268515823,154.68529299563 -"11443",2005,50,"1. Male","4. Divorced","1. White","2. HS Grad","2. Middle Atlantic","2. Information","1. <=Good","1. Yes",4.31806333496276,75.0431540173515 -"376662",2008,54,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.84509804001426,127.115743812184 -"450601",2009,44,"1. Male","2. Married","4. Other","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",5.13302127864665,169.528538036679 -"377954",2008,30,"1. Male","1. Never Married","3. Asian","3. Some College","2. Middle Atlantic","2. Information","1. <=Good","1. Yes",4.7160033436348,111.720849360989 -"228963",2006,41,"1. Male","1. Never Married","2. Black","3. Some College","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.77815125038364,118.884359339886 -"81404",2004,52,"1. Male","2. Married","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.85733249643127,128.680488220624 -"302778",2007,45,"1. Male","4. Divorced","1. White","3. Some College","2. Middle Atlantic","2. Information","1. <=Good","1. Yes",4.76342799356294,117.146816914805 -"305706",2007,34,"1. Male","2. Married","1. White","2. HS Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","2. No",4.39794000867204,81.2832532842527 -"8690",2005,35,"1. Male","1. Never Married","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.49415459401844,89.4924795180001 -"153561",2003,39,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.90308998699194,134.705375118879 -"449654",2009,54,"1. Male","2. Married","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","1. Yes",4.90308998699194,134.705375118879 -"447660",2009,51,"1. Male","2. Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.50514997831991,90.4819133566401 -"160191",2003,37,"1. Male","1. Never Married","3. Asian","4. College Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","2. No",4.41497334797082,82.6796372966372 -"230312",2006,50,"1. Male","2. Married","1. White","5. Advanced Degree","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",5.36055176170483,212.842352315711 -"301585",2007,56,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","1. Industrial","1. <=Good","1. Yes",4.86102634169657,129.156693004704 -"153682",2003,37,"1. Male","1. Never Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.5910646070265,98.5993438603892 -"158226",2003,38,"1. Male","2. Married","3. Asian","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",5.30102999566398,200.543262324662 -"11141",2005,40,"1. Male","4. Divorced","1. White","2. HS Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",3.92012332629072,50.406660861266 -"448410",2009,75,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.44715803134222,85.3839403789827 -"305116",2007,40,"1. Male","2. Married","1. White","4. College Grad","2. Middle Atlantic","2. Information","2. >=Very Good","2. No",5.07918124604763,160.642475408263 -"233002",2006,38,"1. 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Yes",4.89320675305985,133.380607661416 +2008,44,"2. Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",5.04139268515823,154.68529299563 +2007,30,"2. Married","1. White","2. HS Grad","2. Middle Atlantic","1. Industrial","2. >=Very Good","2. No",4.60205999132796,99.6894636984864 +2005,27,"2. Married","2. Black","1. < HS Grad","2. Middle Atlantic","1. Industrial","1. <=Good","2. No",4.19312459835446,66.2294082943902 +2005,27,"1. Never Married","1. White","3. Some College","2. Middle Atlantic","1. Industrial","2. >=Very Good","1. Yes",4.47712125471966,87.9810327856054 +2009,55,"5. Separated","1. White","2. HS Grad","2. Middle Atlantic","1. Industrial","1. <=Good","1. Yes",4.50514997831991,90.4819133566401 diff --git a/Data/datalist b/Data/datalist deleted file mode 100644 index 9ac6ce3..0000000 --- a/Data/datalist +++ /dev/null @@ -1,13 +0,0 @@ -Auto -Caravan -Carseats -College -Default -Hitters -Khan (json file) -NCI60 (json file) -OJ -Portfolio -Smarket -Wage -Weekly diff --git a/README.md b/README.md index 893de46..d922743 100644 --- a/README.md +++ b/README.md @@ -1,39 +1,43 @@ -# ISLR_Python +# Introduction to Statistical Learning with Applications in ~~R~~ Python -Figures, Tables and Problems from the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2013). -Using Python 3.x. +A collection of notebooks with figures, tables and problems from the second edition of the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2021), using Python 3.9 instead of R. List of Chapters: -- [x] Chapter 3 - Linear Regression -- [x] Chapter 4 - Classification -- [x] Chapter 5 - Resampling Methods -- [x] Chapter 6 - Linear Model Selection and Regularization -- [x] Chapter 7 - Moving Beyond Linearity -- [x] Chapter 8 - Tree-Based Methods -- [x] Chapter 9 - Support Vector Machines -- [x] Chapter 10 - Unsupervised Learning +- [x] Chapter 3 - Linear Regression +- [ ] Chapter 4 - Classification +- [ ] Chapter 5 - Resampling Methods +- [ ] Chapter 6 - Linear Model Selection and Regularization +- [ ] Chapter 7 - Moving Beyond Linearity +- [ ] Chapter 8 - Tree-Based Methods +- [ ] Chapter 9 - Support Vector Machines +- [ ] Chapter 10 - Deep Learning +- [ ] Chapter 11 - Survival Analysis and Censored Data +- [ ] Chapter 12 - Unsupervised Learning Dependencies: - - pandas - - numpy - - scipy - - scikit-learn - - statsmodels - - patsy - - matplotlib - - seaborn - - pyGAM - - pydot and graphviz (to plot decission trees) - - scikit-plot (to plot ROC for classification) - -I obtained the data from https://github.com/JWarmenhoven/ISLR-python. +- General: + - (jupyter) + - pandas + - numpy + - scipy + - scikit-learn + - statsmodels + - matplotlib + - seaborn +- Chapters + - pyGAM + - pydot and graphviz (to plot decission trees) + - scikit-plot (to plot ROC for classification) + + +Data from https://www.statlearning.com/resources-second-edition. #### References: -James, G., Witten, D., Hastie, T., Tibshirani, R. (2013). An Introduction to Statistical Learning with Applications in R, Springer Science+Business Media, New York. -http://www-bcf.usc.edu/~gareth/ISL/index.html +James, G., Witten, D., Hastie, T., Tibshirani, R. (2021). An Introduction to Statistical Learning with Applications in R, Springer Science+Business Media, New York. +https://web.stanford.edu/~hastie/ISLR2/ISLRv2_website.pdf Hastie, T., Tibshirani, R., Friedman, J. (2009). Elements of Statistical Learning, Second Edition, Springer Science+Business Media, New York. https://web.stanford.edu/~hastie/ElemStatLearn/ \ No newline at end of file diff --git a/classification.py b/classification.py new file mode 100644 index 0000000..1cfaf13 --- /dev/null +++ b/classification.py @@ -0,0 +1,110 @@ +import numpy as np + +# import scikitplot as skplt +import sklearn.linear_model as skl_lm +from sklearn.metrics import confusion_matrix, log_loss +import pandas as pd +import matplotlib.pyplot as plt + +from scipy import stats + + +def get_confusion_matrix(model, X_test, y_test, labels=None, norm=None, y_pred=None): + """Helper functions to print classification diagnostics""" + if y_pred is None: + y_pred = model.predict(X_test) + cm = confusion_matrix(y_test, y_pred, labels=labels, normalize=norm) + num_class = len(cm) + labels = labels or np.arange(0, num_class) + df_cm = pd.DataFrame( + cm, + columns=pd.MultiIndex.from_product([["Predicted"], labels]), + index=pd.MultiIndex.from_product([["Real"], labels]), + ).T + df_cm.loc[("Predicted", "Total"), :] = df_cm.sum(axis=0) + df_cm.loc[:, ("Real", "Total")] = df_cm.sum(axis=1) + if not norm: + df_cm = df_cm.astype("int") + return df_cm + + +def print_OLS_error_table(model, X_train, y_train): + params = np.append(model.intercept_, model.coef_) + predictions = model.predict(X_train) + + if isinstance(X_train, pd.DataFrame): + X_cols = X_train.columns + else: + X_cols = [f"Feature {num}" for num in range(1, len(X_train))] + + newX = X_train.copy() + newX["Constant"] = np.ones(len(X_train)) + + if isinstance(model, skl_lm.LinearRegression): + # for linear regression: + MSE = (sum((y_train - predictions) ** 2)) / (len(newX) - len(newX.columns)) + var_b = MSE * (np.linalg.inv(np.dot(newX.T, newX)).diagonal()) + elif isinstance(model, skl_lm.LogisticRegression): + # for logistic regression: + pred_prob = model.predict_proba(X_train) + W = np.diagflat(pred_prob[:, 1] * (1 - pred_prob[:, 1])) + cov = np.dot(newX.T, np.dot(W, newX)) + var_b = np.linalg.inv(cov).diagonal() + + std_errs = np.sqrt(var_b) + t_values = params / std_errs + p_values = [2 * (1 - stats.t.cdf(np.abs(i), (len(newX) - 1))) for i in t_values] + + std_errs = np.round(std_errs, 3) + t_values = np.round(t_values, 3) + p_values = np.round(p_values, 3) + params = np.round(params, 4) + + # log likelihood and AIC + y_pred = model.predict_proba(X_train) + LLK = -log_loss(y_train, y_pred, normalize=False) + df_model = len(*model.coef_) + aic = 2 * (df_model + 1) - 2 * LLK + + model_stats = pd.DataFrame( + np.array([params, std_errs, t_values, p_values]).T, + index=["Intercept", *X_cols], + columns=["Coefficients", "Standard Errors", "t values", "p values"], + ) + + print(f"No. Observations: {len(y_train)}") + print(f"Df Residuals: {len(y_train)-df_model-1}") + print(f"Df Model: {df_model}") + print(f"Log-Likelihood: {LLK:.2f}") + print(f"AIC: {aic:.2f}") + print(model_stats) + print() + + +def plot_classification(model, X_test, y_test): + fig, ax = plt.subplots(ncols=1, figsize=(8, 8)) + + if isinstance(X_test, pd.DataFrame): + X_cols = X_test.columns + else: + X_cols = ["", ""] + + if isinstance(y_test, pd.DataFrame): + y_test = y_test.values + + # Data + ax.scatter(X_test.values[:, 0], X_test.values[:, 1], c=y_test, cmap=plt.cm.coolwarm, s=20, edgecolors="k") + ax.set_xlabel(X_cols[0]) + ax.set_ylabel(X_cols[1]) + + maxX1, maxX2 = np.max(X_test, axis=0) + minX1, minX2 = np.min(X_test, axis=0) + N_points_grid = 200 + xx, yy = np.meshgrid(np.linspace(minX1, maxX1, N_points_grid), np.linspace(minX2, maxX2, N_points_grid)) + X = np.c_[xx.ravel(), yy.ravel()] + est_region = model.predict(pd.DataFrame(X, columns=X_cols)) + + # regions + plt.contourf(xx, yy, est_region.reshape(xx.shape), cmap=plt.cm.coolwarm, alpha=0.3) + + return ax diff --git a/classification_helper.py b/classification_helper.py deleted file mode 100644 index 44ae17a..0000000 --- a/classification_helper.py +++ /dev/null @@ -1,113 +0,0 @@ -import numpy as np -import scikitplot as skplt -import sklearn.linear_model as skl_lm -from sklearn.metrics import confusion_matrix, classification_report, precision_score, roc_curve, auc, log_loss -import pandas as pd -import matplotlib.pyplot as plt - -from scipy import stats - -# Helper functions to print classification diagnostics -def print_classification_statistics(model, X_test, y_test, labels=None): - y_pred = model.predict(X_test) - print('Classification Report:') - print(classification_report(y_test, y_pred, target_names=labels, digits=3)) - cm = confusion_matrix(y_test, y_pred) - cm = cm.astype('float')/cm.sum(axis=1)[:, np.newaxis] - num_class = len(cm) - df_cm = pd.DataFrame(cm, columns=pd.MultiIndex.from_product([['Predicted'], np.arange(0, num_class)]), - index=pd.MultiIndex.from_product([['Real'], np.arange(0, num_class)])) - print('Confusion Matrix:') - print(df_cm) - print() - -def plot_ROC(model, X_test, y_test, label=''): - y_prob = model.predict_proba(X_test) - ax = skplt.metrics.plot_roc(y_test, y_prob, plot_micro=False, plot_macro=False) - ax.set_xlim([-0.01, 1.0]) - ax.set_ylim([0.0, 1.05]) - - handles, labels = ax.get_legend_handles_labels() - if len(labels) > 0: - labels[0] = labels[0].replace('ROC curve of class 1', label) - ax.legend(handles, labels, loc="lower right") - -def print_OLS_error_table(model, X_train, y_train): - params = np.append(model.intercept_, model.coef_) - predictions = model.predict(X_train) - - if isinstance(X_train, pd.DataFrame): - X_cols = X_train.columns - X_train = X_train.values - else: - X_cols = [f'Feature {num}' for num in range(1, len(X_train))] - - newX = pd.DataFrame({"Constant": np.ones(len(X_train))}).join(pd.DataFrame(X_train)) - - if isinstance(model, skl_lm.LinearRegression): - # for linear regression: - MSE = (sum((y_train-predictions)**2))/(len(newX)-len(newX.columns)) - var_b = MSE*(np.linalg.inv(np.dot(newX.T, newX)).diagonal()) - elif isinstance(model, skl_lm.LogisticRegression): - # for logistic regression: - pred_prob = model.predict_proba(X_train) - W = np.diagflat(pred_prob[:, 1]*(1-pred_prob[:, 1])) - cov = np.dot(newX.T, np.dot(W, newX)) - var_b = np.linalg.inv(cov).diagonal() - - std_errs = np.sqrt(var_b) - t_values = params/std_errs - p_values =[2*(1-stats.t.cdf(np.abs(i),(len(newX)-1))) for i in t_values] - - std_errs = np.round(std_errs,3) - t_values = np.round(t_values,3) - p_values = np.round(p_values,3) - params = np.round(params,4) - - # log likelihood and AIC - y_pred = model.predict_proba(X_train) - LLK = -log_loss(y_train, y_pred, normalize=False) - df_model = len(*model.coef_) - aic = 2*(df_model+1) - 2*LLK - - model_stats = pd.DataFrame(np.array([params, std_errs, t_values, p_values]).T, - index=['Intercept', *X_cols], - columns=['Coefficients', 'Standard Errors', 't values', 'p values']) - - print(f'No. Observations: {len(y_train)}') - print(f'Df Residuals: {len(y_train)-df_model-1}') - print(f'Df Model: {df_model}') - print(f'Log-Likelihood: {LLK:.2f}') - print(f'AIC: {aic:.2f}') - print(model_stats) - print() - -def plot_classification(model, X_test, y_test): - fig = plt.figure(figsize=(8,8)) - ax = plt.subplot(1,1,1) - - if isinstance(X_test, pd.DataFrame): - X_cols = X_test.columns - X_test = X_test.values - else: - X_cols = ['', ''] - - if isinstance(y_test, pd.DataFrame): - y_test = y_test.values - - # Data - ax.scatter(X_test[:,0], X_test[:,1], c=y_test, cmap=plt.cm.coolwarm, s=20, edgecolors='k') - ax.set_xlabel(X_cols[0]); - ax.set_ylabel(X_cols[1]); - - maxX1, maxX2 = np.max(X_test, axis=0) - minX1, minX2 = np.min(X_test, axis=0) - N_points_grid = 200 - xx, yy = np.meshgrid(np.linspace(minX1, maxX1, N_points_grid), np.linspace(minX2, maxX2, N_points_grid)) - X = np.c_[xx.ravel(), yy.ravel()] - est_region = model.predict(X) - - # regions - plt.contourf(xx, yy, est_region.reshape(xx.shape), cmap=plt.cm.coolwarm, alpha=0.5); - - return ax \ No newline at end of file diff --git a/linear_regression.py b/linear_regression.py new file mode 100644 index 0000000..1298738 --- /dev/null +++ b/linear_regression.py @@ -0,0 +1,286 @@ +import warnings + +import numpy as np +import pandas as pd +import seaborn as sns + +import matplotlib as mpl +import matplotlib.pyplot as plt + +import statsmodels.formula.api as smf +import statsmodels.api as sm +from statsmodels.graphics.gofplots import ProbPlot + +from scipy.interpolate import UnivariateSpline + +from sklearn.neighbors import KNeighborsRegressor +from sklearn.model_selection import train_test_split + + +def add_margins(ax, x=0.05, y=0.05): + # This will, by default, add 5% to the x and y margins. You + # can customise this using the x and y arguments when you call it. + + xlim = ax.get_xlim() + ylim = ax.get_ylim() + + xmargin = (xlim[1]-xlim[0])*x + ymargin = (ylim[1]-ylim[0])*y + + ax.set_xlim(xlim[0]-xmargin, xlim[1]+xmargin) + ax.set_ylim(ylim[0]-ymargin, ylim[1]+ymargin) + + +def residuals_vs_fitted(model, ax, show_quantiles=False, studentized=False): + if studentized: + residuals = model.get_influence().resid_studentized_internal + else: + residuals = model.resid + abs_resid = np.abs(residuals) + + data = pd.DataFrame({"y_fitted": model.fittedvalues, "resid": residuals, "abs_resid": abs_resid}) + + sns.residplot( + data=data, + x="y_fitted", y="resid", + lowess=True, + scatter_kws={'alpha': 0.5}, + line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}, + ax=ax + ) + if studentized: + ax.axhline(y=2, linestyle="--", color="grey") + ax.axhline(y=-2, linestyle="--", color="grey") + + ax.set_title('Residuals vs Fitted') + ax.set_xlabel('Fitted values') + ax.set_ylabel('Residuals') + + # annotations + data = data.sort_values("abs_resid", ascending=False) + for i, row in data[:3].iterrows(): + ax.annotate(i, xy=(row.y_fitted, row.resid)); + + if show_quantiles: + data["y_fitted_bins"] = pd.cut(data.y_fitted, bins=10) + def quantiles(df): + d = {} + d['resid_q90'] = df.resid.quantile(0.9) + d['resid_q10'] = df.resid.quantile(0.1) + return pd.Series(d, index=['resid_q10', 'resid_q90']) + data = ( + data.set_index("y_fitted_bins") + .join(data.groupby("y_fitted_bins").apply(quantiles)).sort_values("y_fitted") + ) + + xs = np.linspace(data.y_fitted.min(), data.y_fitted.max(), 1000) + q_90 = UnivariateSpline(x=data.y_fitted, y=data.resid_q90, k=3)(xs) + q_10 = UnivariateSpline(x=data.y_fitted, y=data.resid_q10, k=3)(xs) + sns.lineplot(x=xs, y=q_10, color="blue", label="Quantiles 10-90", ax=ax) + sns.lineplot(x=xs, y=q_90, color="blue", ax=ax) + ax.legend() + + add_margins(ax) + sns.despine() + + +def residuals_autocorrelation(model, ax): + sm.graphics.tsa.plot_pacf( + model.resid, lags=20, ax=ax, + title="Partial autocorrelation of residuals", zero=False + ) + sns.despine() + + +def residuals_normality(model, ax): + std_resid = model.get_influence().resid_studentized_internal + QQ = ProbPlot(std_resid) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + QQ.qqplot(line='45', alpha=0.5, color='lightblue', lw=1, ax=ax) + + ax.set_title('Normal Q-Q') + ax.set_xlabel('Theoretical Quantiles') + ax.set_ylabel('Standardized Residuals'); + + # annotations + abs_std_resid = np.flip(np.argsort(np.abs(std_resid)), 0) + abs_std_resid_top_3 = abs_std_resid[:3] + + for r, i in enumerate(abs_std_resid_top_3): + ax.annotate(i, xy=(np.flip(QQ.theoretical_quantiles, 0)[r], std_resid[i])); + + +def leverage(model, ax): + + std_residuals = model.get_influence().resid_studentized_internal + leverage = model.get_influence().hat_matrix_diag + # cook's distance, from statsmodels internals + cooks_distance = model.get_influence().cooks_distance[0] + +# plt.scatter(x=leverage, y=std_residuals, alpha=0.5) + sns.regplot( + x=leverage, y=std_residuals, + scatter=True, + ci=False, + lowess=True, + scatter_kws={'alpha': 0.5}, + line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}, + ax=ax + ) + + ax.set_xlim(leverage.min()*0.9, leverage.max()) + ax.set_ylim(std_residuals.min(), std_residuals.max()) + ax.set_title('Residuals vs Leverage') + ax.set_xlabel('Leverage') + ax.set_ylabel('Standardized Residuals') + + # annotations + leverage_top_3 = np.flip(np.argsort(cooks_distance), 0)[:3] + + for i in leverage_top_3: + ax.annotate(i, xy=(leverage[i], std_residuals[i])) + + df_model = model.df_model + n = len(leverage) + cooks_threshold = 4/(n - df_model - 1) + leverage_threshold = 4 * (df_model)/n + + ax.axvline( + x=leverage_threshold, + label=f"Leverage threshold ({leverage_threshold:.3f})", + color="grey", linestyle="--" + ) + # cook's distance contours + def graph(formula, x_range, label=None): + x = x_range + y = formula(x) + ax.plot(x, y, label=label, lw=1, ls='--', color='red') + + graph(lambda leverage: np.sqrt((cooks_threshold * df_model * (1 - leverage)) / leverage), + np.linspace(leverage.min()*0.9, leverage.max(), 1000), + f'Cook\'s distance threshold ({cooks_threshold:.2f})') + graph(lambda leverage: -np.sqrt((cooks_threshold * df_model * (1 - leverage)) / leverage), + np.linspace(leverage.min()*0.9, leverage.max(), 1000)) + + ax.legend(loc='upper right'); + add_margins(ax) + + +def scale_location(model, ax): + + # normalized residuals + std_residuals = model.get_influence().resid_studentized_internal + # absolute squared normalized residuals + sq_abs_std_residuals = np.sqrt(np.abs(std_residuals)) + data = pd.DataFrame({"y_fitted": model.fittedvalues, "sq_abs_std_residuals": sq_abs_std_residuals}) + + sns.regplot( + data=data, + x="y_fitted", y="sq_abs_std_residuals", + scatter=True, + ci=False, + lowess=True, + line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}, + scatter_kws=dict(alpha=0.5), + ax=ax + ) + + ax.set_title('Scale-Location') + ax.set_xlabel('Fitted values') + ax.set_ylabel('$\sqrt{|Standardized Residuals|}$'); + + # annotations + data = data.sort_values("sq_abs_std_residuals", ascending=False) + for i, row in data[:3].iterrows(): + ax.annotate(i, xy=(row.y_fitted, row.sq_abs_std_residuals)); + +def variance_inflation_factors(model): + exog_df = pd.DataFrame(model.model.exog, columns=model.model.exog_names) + leave_one_out_R2 = [ + sm.OLS(exog_df[col].values, exog_df.loc[:, exog_df.columns != col].values).fit().rsquared + for col in exog_df + if col != "Intercept" + ] + vifs = pd.Series([1 / (1. - R2) for R2 in leave_one_out_R2], index=exog_df.columns[1:], name='VIF') + return vifs + +def rss_contour(model, x_lim, y_lim, ax, levels=None): + + def rss(model, beta_x1, beta_x2): + x1 = model.model.exog[:, 1] + x2 = model.model.exog[:, 2] + y = model.model.endog + return ((y[:, np.newaxis, np.newaxis] - model.params[0] + - x1[:, np.newaxis, np.newaxis]*beta_x1 - x2[:, np.newaxis, np.newaxis]*beta_x2 + )**2).sum(axis=0)/1e6 + + N = 100 + x = np.linspace(*x_lim, N) + y = np.linspace(*y_lim, N) + + X, Y = np.meshgrid(x, y) + Z = rss(model, X, Y) + + beta_x1 = model.params[1] + beta_x2 = model.params[2] + + ax.scatter(x=beta_x1, y=beta_x2, color="black") + ax.hlines(y=beta_x2, xmin=x_lim[0], xmax=beta_x1, colors="black", linestyles="dashed") + ax.vlines(x=beta_x1, ymin=y_lim[0], ymax=beta_x2, colors="black", linestyles="dashed") + + cplot = ax.contour(X, Y, Z, levels=levels, colors='blue'); + ax.clabel(cplot, inline=True, fontsize=10) + + ax.set_xlabel(rf"$\beta_{{{model.model.exog_names[1]}}}$") + ax.set_ylabel(rf"$\beta_{{{model.model.exog_names[2]}}}$") + + +def compare_linear_knn(data_train, data_test, data_dense, ax): + model_linear = smf.ols("y ~ x", data=data_train).fit() + data_dense["y_linear"] = model_linear.predict(data_dense.x) + + data_dense["y_knn_1"] = ( + KNeighborsRegressor(n_neighbors=1).fit(data_train.x.values.reshape(-1, 1), data_train.y) + .predict(data_dense.x.values.reshape(-1, 1)) + ) + data_dense["y_knn_9"] = ( + KNeighborsRegressor(n_neighbors=9).fit(data_train.x.values.reshape(-1, 1), data_train.y) + .predict(data_dense.x.values.reshape(-1, 1)) + ) + + sns.lineplot(data=data_dense, x="x", y="y_linear", color="black", linestyle="--", ax=ax); + sns.lineplot(data=data_dense, x="x", y="y", color="black", ax=ax) + sns.lineplot(data=data_dense, x="x", y="y_knn_1", color="blue", lw=1, ax=ax); + sns.lineplot(data=data_dense, x="x", y="y_knn_9", color="red", lw=1, ax=ax); + + +def linear_knn_mse(X_train, y_train, X_test, y_test, ax): + X_train = sm.add_constant(X_train) + X_test = sm.add_constant(X_test) + model_linear = sm.OLS(y_train, X_train).fit() + linear_mse = ((model_linear.predict(X_test) - y_test)**2).sum()/len(y_test) + + Ks = np.linspace(1, 9, 9) + knn_mse = [] + for K in Ks: + knn = KNeighborsRegressor(n_neighbors=int(K)).fit(X_train, y_train) + mse = ((knn.predict(X_test) - y_test)**2).sum()/len(y_test) + knn_mse.append(mse) + + data_knn_mse = pd.DataFrame({"K": Ks, "MSE": knn_mse}) + data_knn_mse["inv_K"] = 1/data_knn_mse["K"] + + ax.axhline(y=model_linear.mse_resid, color="black", linestyle="--") + sns.lineplot(data=data_knn_mse, x="inv_K", y="MSE", color="green", markers=True, linestyle="--", ax=ax); + sns.scatterplot(data=data_knn_mse, x="inv_K", y="MSE", color="green", ax=ax); + ax.set_xscale("log") + ax.set_xticks([0.2, 0.5, 1]) + ax.get_xaxis().set_major_formatter(mpl.ticker.ScalarFormatter()) + ax.set_ylim(bottom=0) + ax.set_xlabel("1/K"); + + +def linear_knn_mse_one_var(data_train, data_test, ax): + linear_knn_mse(data_train.x.values, data_train.y, data_test.x.values, data_test.y, ax) diff --git a/plot_lm.py b/plot_lm.py deleted file mode 100644 index 189d209..0000000 --- a/plot_lm.py +++ /dev/null @@ -1,126 +0,0 @@ -def plot_lm(model_fit, data, key, n=3): - import numpy as np - import pandas as pd - import seaborn as sns - import matplotlib.pyplot as plt - import statsmodels.formula.api as smf - - from statsmodels.graphics.gofplots import ProbPlot - - # fitted values (need a constant term for intercept) - model_fitted_y = model_fit.fittedvalues - # model residuals - model_residuals = model_fit.resid - # normalized residuals - model_norm_residuals = model_fit.get_influence().resid_studentized_internal - # absolute squared normalized residuals - model_norm_residuals_abs_sqrt = np.sqrt(np.abs(model_norm_residuals)) - # absolute residuals - model_abs_resid = np.abs(model_residuals) - # leverage, from statsmodels internals - model_leverage = model_fit.get_influence().hat_matrix_diag - # cook's distance, from statsmodels internals - model_cooks = model_fit.get_influence().cooks_distance[0] - - fig = plt.figure() - fig.set_figheight(8) - fig.set_figwidth(12) - - # first plot - plot_lm_1 = plt.subplot(2, 2, 1) - - temp_plot = sns.residplot(model_fitted_y, key, data=data, - lowess=True, - scatter_kws={'alpha': 0.5}, - line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}) - - plot_lm_1.set_title('Residuals vs Fitted') - plot_lm_1.set_xlabel('Fitted values') - plot_lm_1.set_ylabel('Residuals') - - # annotations - abs_resid = model_abs_resid.sort_values(ascending=False) - abs_resid_top_3 = abs_resid[:3] - - for i in abs_resid_top_3.index: - plot_lm_1.annotate(i, xy=(model_fitted_y[i], model_residuals[i])); - - # second plot - plot_lm_2 = plt.subplot(2, 2, 2) - QQ = ProbPlot(model_norm_residuals) - temp_plot = QQ.qqplot(line='45', alpha=0.5, color='#4C72B0', lw=1, ax=plot_lm_2) - - plot_lm_2.set_title('Normal Q-Q') - plot_lm_2.set_xlabel('Theoretical Quantiles') - plot_lm_2.set_ylabel('Standardized Residuals'); - - # annotations - abs_norm_resid = np.flip(np.argsort(np.abs(model_norm_residuals)), 0) - abs_norm_resid_top_3 = abs_norm_resid[:3] - - for r, i in enumerate(abs_norm_resid_top_3): - plot_lm_2.annotate(i, xy=(np.flip(QQ.theoretical_quantiles, 0)[r],model_norm_residuals[i])); - - # third plot - plot_lm_3 = plt.subplot(2, 2, 3) - - plt.scatter(model_fitted_y, model_norm_residuals_abs_sqrt, alpha=0.5) - sns.regplot(model_fitted_y, model_norm_residuals_abs_sqrt, - scatter=False, - ci=False, - lowess=True, - line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}) - - plot_lm_3.set_title('Scale-Location') - plot_lm_3.set_xlabel('Fitted values') - plot_lm_3.set_ylabel('$\sqrt{|Standardized Residuals|}$'); - - # annotations - abs_sq_norm_resid = np.flip(np.argsort(model_norm_residuals_abs_sqrt), 0) - abs_sq_norm_resid_top_3 = abs_sq_norm_resid[:3] - - for i in abs_norm_resid_top_3: - try: - plot_lm_3.annotate(i, xy=(model_fitted_y[i], model_norm_residuals_abs_sqrt[i])); - except KeyError as err: - continue - - # fourth plot - plot_lm_4 = plt.subplot(2, 2, 4) - - plt.scatter(model_leverage, model_norm_residuals, alpha=0.5) - sns.regplot(model_leverage, model_norm_residuals, - scatter=False, - ci=False, - lowess=True, - line_kws={'color': 'red', 'lw': 1, 'alpha': 0.8}) - - plot_lm_4.set_xlim(0, 0.20) - plot_lm_4.set_ylim(-3, 5) - plot_lm_4.set_title('Residuals vs Leverage') - plot_lm_4.set_xlabel('Leverage') - plot_lm_4.set_ylabel('Standardized Residuals') - - # annotations - leverage_top_3 = np.flip(np.argsort(model_cooks), 0)[:3] - - for i in leverage_top_3: - plot_lm_4.annotate(i, xy=(model_leverage[i], model_norm_residuals[i])) - - # shenanigans for cook's distance contours - def graph(formula, x_range, label=None): - x = x_range - y = formula(x) - plt.plot(x, y, label=label, lw=1, ls='--', color='red') - - p = len(model_fit.params) # number of model parameters - - graph(lambda x: np.sqrt((0.5 * p * (1 - x)) / x), - np.linspace(0.001, 0.200, 50), - 'Cook\'s distance') # 0.5 line - graph(lambda x: np.sqrt((1 * p * (1 - x)) / x), - np.linspace(0.001, 0.200, 50)) # 1 line - plt.legend(loc='upper right'); - plt.xlim(xmax=np.max(model_cooks)) - - plt.tight_layout() \ No newline at end of file diff --git a/requirements.txt b/requirements.txt index e6e2cb2..a2a3e54 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,10 @@ +jupyterlab pandas numpy scipy scikit-learn statsmodels -patsy matplotlib seaborn +ipywidgets +ipympl diff --git a/util.py b/util.py deleted file mode 100644 index e9f3967..0000000 --- a/util.py +++ /dev/null @@ -1,2 +0,0 @@ -def vif(model): - return 1/(1-model.rsquared) \ No newline at end of file