From e39604f63cc7e93cd450938dfa5a25c9f4d21301 Mon Sep 17 00:00:00 2001 From: Guido Schratzer Date: Mon, 16 Jan 2023 19:00:25 +0200 Subject: [PATCH 1/7] Buttons from button side to the right side added new var for 4 different button bg colors --- Monopoly.py | 25 ++++++++++-------- .../RealEstateDictionary.cpython-37.pyc | Bin 2529 -> 2533 bytes __pycache__/communityChest.cpython-37.pyc | Bin 1611 -> 1615 bytes 3 files changed, 14 insertions(+), 11 deletions(-) diff --git a/Monopoly.py b/Monopoly.py index 115de68..e325ce1 100644 --- a/Monopoly.py +++ b/Monopoly.py @@ -1,5 +1,4 @@ # decent example of buttons -# https://inventwithpython.com/blog/2012/10/30/designing-a-button-ui-module-for-pygame/ import sys, pygame, random from pygame.locals import * @@ -11,7 +10,7 @@ pygame.init() PLAYERCOLOR = [(0, 0, 255), (0, 255, 0), (255, 0, 0), (255, 255, 0)] #BLUE, GREEN, RED, YELLOW - +BUTTONCOLOR = [(137,224,34), (0, 255, 0), (255, 0, 0), (192,192,192)] import random @@ -32,6 +31,7 @@ def rollDice(self): self.total += self.dice2 print("Sum of both Dices is: " + str(self.total)) self.doubleChecker() + print("Double: " + str(self.counter)) return self.total def doubleChecker(self): @@ -46,13 +46,14 @@ def doubleChecker(self): class button(): - def __init__(self, color, x, y, width, height, text=''): + def __init__(self, color, x, y, width, height, text='', fontsize=46): self.color = color self.x = x self.y = y self.width = width self.height = height self.text = text + self.fontsize = fontsize def draw(self, win, outline=None): # Call this method to draw the button on the screen @@ -61,7 +62,7 @@ def draw(self, win, outline=None): pygame.draw.rect(win, self.color, (self.x, self.y, self.width, self.height), 0) if self.text != '': - font = pygame.font.SysFont('comicsans', 60) + font = pygame.font.SysFont('comicsans', self.fontsize) text = font.render(self.text, 1, (0, 0, 0)) win.blit(text, ( self.x + (self.width / 2 - text.get_width() / 2), self.y + (self.height / 2 - text.get_height() / 2))) @@ -105,7 +106,8 @@ def move(self): def paintPosition(self): #random.seed() #uncomment if bored or if you want to play hardmode #self.position = random.randint(1,40) - if self.position == 1: + #print("Number: " + str(self.number)) + if self.position == 1: a1 = pygame.draw.circle(screen, self.pawnColor, (700, 700 + self.number), 20, 0) if self.position == 2: a2 = pygame.draw.circle(screen, self.pawnColor, (630, 700 + self.number), 20, 0) @@ -192,9 +194,9 @@ def takeTurn(self, numTurns): # print menu for each player updateSideBar() while self.takingTurn: pos = pygame.mouse.get_pos() - RollDice = button(PLAYERCOLOR[0], 752*(1/4), 754, 200, 50, "Roll Dice") + RollDice = button(BUTTONCOLOR[0], 752+50, 450, 200, 50, "Roll Dice",36) RollDice.draw(screen) - BuyHouses = button(PLAYERCOLOR[1], 400, 754, 300, 50, "BUY HOUSES") + BuyHouses = button(PLAYERCOLOR[1], 752+50, 550, 200, 50, "Buy Houses",36) BuyHouses.draw(screen) pos = pygame.mouse.get_pos() for event in pygame.event.get(): # end python interpretter if window has been closed @@ -218,7 +220,7 @@ def takeTurn(self, numTurns): # print menu for each player #print("Within CooC function") screen.blit(bg, [0, 0]) prompt = button(PLAYERCOLOR[0], 100, 752 * (1 / 3), 754 - 200, 100, str(currentPlayerCard)) - ok = button((0, 255, 0), 754 / 2 - (754 * (1 / 4)), 752 / 2, 75, 50, "Ok") + ok = button(BUTTONCOLOR[3], 754 / 2 - (754 * (1 / 4)), 752 / 2, 75, 50, "Ok") ok.draw(screen) prompt.draw(screen) pygame.display.update() @@ -294,7 +296,7 @@ def takeTurn(self, numTurns): # print menu for each player waitingToPayLux = True while waitingToPayLux: screen.blit(bg, [0, 0]) - prompt = button(PLAYERCOLOR[0], 100, 752 * (1 / 3), 754 -200, 100, "Pay Luxury Tax") + prompt = button(BUTTONCOLOR[0], 100, 752 * (1 / 3), 754 -200, 100, "Pay Luxury Tax", 26) pay75 = button((0, 255, 0), 754 / 2 - (754 * (1 / 4)), 752 / 2, 75, 50, "$75") prompt.draw(screen) pay75.draw(screen) @@ -648,7 +650,8 @@ def setupBoard(self): running = True while running: screen.blit(bg, [0, 0]) # paint the backgorund image in the back first so it doesnt cover anything - startButton = button((0,255,255),752/2 -50, 754, 125, 50, "Start?") + startButton = button(BUTTONCOLOR[0],752+30, 50, 250, 70, "Start?") + #startButton = button((0,255,255),752/2 -50, 754, 125, 50, "Start?", 36) print("Painting Background") # debug comment for event in pygame.event.get(): # end python interpretter if window has been closed pos = pygame.mouse.get_pos() @@ -669,7 +672,7 @@ def setupBoard(self): if self.numPlayersChosen == False: print("Drawing howManyPlayers text") pressedKey = pygame.key.get_pressed() - self.howManyPlayers = button((0, 255, 255), 750 / 2 - 375, 754, 750, 50, "How many Players?(2-4)") + self.howManyPlayers = button(BUTTONCOLOR[0], 752+10, 50, 380, 70, "How many Players?(2-4)", 26) self.howManyPlayers.draw(screen) if pressedKey[K_2]: self.numPlayers = 2 diff --git a/__pycache__/RealEstateDictionary.cpython-37.pyc b/__pycache__/RealEstateDictionary.cpython-37.pyc index 986f7b2ea6a7998e4d0a4e63d39d330784b716d2..d465d758ccbea3f9fbc3bd7ed01fcc6e4594e2bf 100644 GIT binary patch delta 84 zcmaDT{8X67iI&L~POsY)$M*H6zZ$tX?I&B;$r m%+bxsOe#t&s?_(*&&w~!Qz%uNlbEXl~v)1TbPnE(KVP#s|a delta 80 zcmaDV{7{(3iIejtNf8jd96OF3nBND=Cf%s4U6I a&vVPnNiB}?&Ckm($j_-nFebNhCIA2n{Tw;~ diff --git a/__pycache__/communityChest.cpython-37.pyc b/__pycache__/communityChest.cpython-37.pyc index 83b0bee9b5dd23858f26d134d5a5c66b6bc08a97..98f509703d7486ddf9c4e05c8814ba3290a1b60c 100644 GIT binary patch delta 85 zcmX@jbDoFSiIhKE$os*}&Dkm@v^ce>I3_qTH^wDDximL5ucSC8pt2+* bKhG^QC$%`nH$N}GAU~%P!PsohD8UK Date: Tue, 17 Jan 2023 00:28:15 +0200 Subject: [PATCH 2/7] Design easier to read (Playercolor smaller and without overwritting problem Start and Buy House back to bottom but better formated Bugfix for dice calculation --- Monopoly.py | 113 +++++++++++++++++++++++++++------------------------- 1 file changed, 58 insertions(+), 55 deletions(-) diff --git a/Monopoly.py b/Monopoly.py index e325ce1..a36fb5b 100644 --- a/Monopoly.py +++ b/Monopoly.py @@ -10,7 +10,7 @@ pygame.init() PLAYERCOLOR = [(0, 0, 255), (0, 255, 0), (255, 0, 0), (255, 255, 0)] #BLUE, GREEN, RED, YELLOW -BUTTONCOLOR = [(137,224,34), (0, 255, 0), (255, 0, 0), (192,192,192)] +BUTTONCOLOR = [(11,253,114), (0, 255, 0), (255, 0, 0), (192,192,192)] import random @@ -98,7 +98,8 @@ def __init__(self, number): def move(self): num = self.myDice.rollDice() oldPosition = self.position - self.position = (self.position + num) % 40 + 1 + #self.position = (self.position + num) % 40 + 1 + self.position = (self.position + num) % 40 if self.position != 31: if self.position < oldPosition: self.money = self.money + 200 @@ -108,85 +109,85 @@ def paintPosition(self): #self.position = random.randint(1,40) #print("Number: " + str(self.number)) if self.position == 1: - a1 = pygame.draw.circle(screen, self.pawnColor, (700, 700 + self.number), 20, 0) + a1 = pygame.draw.circle(screen, self.pawnColor, (720, 720 + self.number), 18, 0) if self.position == 2: - a2 = pygame.draw.circle(screen, self.pawnColor, (630, 700 + self.number), 20, 0) + a2 = pygame.draw.circle(screen, self.pawnColor, (630, 720 + self.number), 18, 0) if self.position == 3: - a3 = pygame.draw.circle(screen, self.pawnColor, (565, 700 + self.number), 20, 0) + a3 = pygame.draw.circle(screen, self.pawnColor, (565, 720 + self.number), 18, 0) if self.position == 4: - a4 = pygame.draw.circle(screen, self.pawnColor, (500, 700 + self.number), 20, 0) + a4 = pygame.draw.circle(screen, self.pawnColor, (500, 720 + self.number), 18, 0) if self.position == 5: - a5 = pygame.draw.circle(screen, self.pawnColor, (440, 700 + self.number), 20, 0) + a5 = pygame.draw.circle(screen, self.pawnColor, (440, 720 + self.number), 18, 0) if self.position == 6: - a6 = pygame.draw.circle(screen, self.pawnColor, (380, 700 + self.number), 20, 0) + a6 = pygame.draw.circle(screen, self.pawnColor, (380, 720 + self.number), 18, 0) if self.position == 7: - a7 = pygame.draw.circle(screen, self.pawnColor, (315, 700 + self.number), 20, 0) + a7 = pygame.draw.circle(screen, self.pawnColor, (315, 720 + self.number), 18, 0) if self.position == 8: - a8 = pygame.draw.circle(screen, self.pawnColor, (255, 700 + self.number), 20, 0) + a8 = pygame.draw.circle(screen, self.pawnColor, (255, 720 + self.number), 18, 0) if self.position == 9: - a9 = pygame.draw.circle(screen, self.pawnColor, (190, 700 + self.number), 20, 0) + a9 = pygame.draw.circle(screen, self.pawnColor, (190, 720 + self.number), 18, 0) if self.position == 10: - a10 = pygame.draw.circle(screen, self.pawnColor, (130, 700 + self.number), 20, 0) + a10 = pygame.draw.circle(screen, self.pawnColor, (130, 720 + self.number), 18, 0) if self.position == 11: - a11 = pygame.draw.circle(screen, self.pawnColor, (60, 700 + self.number), 20, 0) + a11 = pygame.draw.circle(screen, self.pawnColor, (40, 720 + self.number), 18, 0) if self.position == 12: - a12 = pygame.draw.circle(screen, self.pawnColor, (60, 630 + self.number), 20, 0) + a12 = pygame.draw.circle(screen, self.pawnColor, (40, 630 + self.number), 18, 0) if self.position == 13: - a13 = pygame.draw.circle(screen, self.pawnColor, (60, 565 + self.number), 20, 0) + a13 = pygame.draw.circle(screen, self.pawnColor, (40, 565 + self.number), 18, 0) if self.position == 14: - a14 = pygame.draw.circle(screen, self.pawnColor, (60, 505 + self.number), 20, 0) + a14 = pygame.draw.circle(screen, self.pawnColor, (40, 505 + self.number), 18, 0) if self.position == 15: - a15 = pygame.draw.circle(screen, self.pawnColor, (60, 445 + self.number), 20, 0) + a15 = pygame.draw.circle(screen, self.pawnColor, (40, 445 + self.number), 18, 0) if self.position == 16: - a16 = pygame.draw.circle(screen, self.pawnColor, (60, 380 + self.number), 20, 0) + a16 = pygame.draw.circle(screen, self.pawnColor, (40, 380 + self.number), 18, 0) if self.position == 17: - a17 = pygame.draw.circle(screen, self.pawnColor, (60, 315 + self.number), 20, 0) + a17 = pygame.draw.circle(screen, self.pawnColor, (40, 315 + self.number), 18, 0) if self.position == 18: - a18 = pygame.draw.circle(screen, self.pawnColor, (60, 250 + self.number), 20, 0) + a18 = pygame.draw.circle(screen, self.pawnColor, (40, 250 + self.number), 18, 0) if self.position == 19: - a19 = pygame.draw.circle(screen, self.pawnColor, (60, 185 + self.number), 20, 0) + a19 = pygame.draw.circle(screen, self.pawnColor, (40, 185 + self.number), 18, 0) if self.position == 20: - a20 = pygame.draw.circle(screen, self.pawnColor, (60, 120 + self.number), 20, 0) + a20 = pygame.draw.circle(screen, self.pawnColor, (40, 120 + self.number), 18, 0) if self.position == 21: - a21 = pygame.draw.circle(screen, self.pawnColor, (60, 50 + self.number), 20, 0) + a21 = pygame.draw.circle(screen, self.pawnColor, (40, 30 + self.number), 18, 0) if self.position == 22: - a22 = pygame.draw.circle(screen, self.pawnColor, (125, 50 + self.number), 20, 0) + a22 = pygame.draw.circle(screen, self.pawnColor, (125, 30 + self.number), 18, 0) if self.position == 23: - a23 = pygame.draw.circle(screen, self.pawnColor, (190, 50 + self.number), 20, 0) + a23 = pygame.draw.circle(screen, self.pawnColor, (190, 30 + self.number), 18, 0) if self.position == 24: - a24 = pygame.draw.circle(screen, self.pawnColor, (250, 50 + self.number), 20, 0) + a24 = pygame.draw.circle(screen, self.pawnColor, (250, 30 + self.number), 18, 0) if self.position == 25: - a25 = pygame.draw.circle(screen, self.pawnColor, (310, 50 + self.number), 20, 0) + a25 = pygame.draw.circle(screen, self.pawnColor, (310, 30 + self.number), 18, 0) if self.position == 26: - a26 = pygame.draw.circle(screen, self.pawnColor, (375, 50 + self.number), 20, 0) + a26 = pygame.draw.circle(screen, self.pawnColor, (375, 30 + self.number), 18, 0) if self.position == 27: - a27 = pygame.draw.circle(screen, self.pawnColor, (440, 50 + self.number), 20, 0) + a27 = pygame.draw.circle(screen, self.pawnColor, (440, 30 + self.number), 18, 0) if self.position == 28: - a28 = pygame.draw.circle(screen, self.pawnColor, (505, 50 + self.number), 20, 0) + a28 = pygame.draw.circle(screen, self.pawnColor, (505, 30 + self.number), 18, 0) if self.position == 29: - a29 = pygame.draw.circle(screen, self.pawnColor, (570, 50 + self.number), 20, 0) + a29 = pygame.draw.circle(screen, self.pawnColor, (570, 30 + self.number), 18, 0) if self.position == 30: - a30 = pygame.draw.circle(screen, self.pawnColor, (630, 50 + self.number), 20, 0) + a30 = pygame.draw.circle(screen, self.pawnColor, (630, 30 + self.number), 18, 0) if self.position == 31: - a31 = pygame.draw.circle(screen, self.pawnColor, (700, 50 + self.number), 20, 0) + a31 = pygame.draw.circle(screen, self.pawnColor, (720, 30 + self.number), 18, 0) if self.position == 32: - a32 = pygame.draw.circle(screen, self.pawnColor, (700, 125 + self.number), 20, 0) + a32 = pygame.draw.circle(screen, self.pawnColor, (720, 125 + self.number), 18, 0) if self.position == 33: - a33 = pygame.draw.circle(screen, self.pawnColor, (700, 195 + self.number), 20, 0) + a33 = pygame.draw.circle(screen, self.pawnColor, (720, 195 + self.number), 18, 0) if self.position == 34: - a34 = pygame.draw.circle(screen, self.pawnColor, (700, 255 + self.number), 20, 0) + a34 = pygame.draw.circle(screen, self.pawnColor, (720, 255 + self.number), 18, 0) if self.position == 35: - a35 = pygame.draw.circle(screen, self.pawnColor, (700, 315 + self.number), 20, 0) + a35 = pygame.draw.circle(screen, self.pawnColor, (720, 315 + self.number), 18, 0) if self.position == 36: - a36 = pygame.draw.circle(screen, self.pawnColor, (700, 375 + self.number), 20, 0) + a36 = pygame.draw.circle(screen, self.pawnColor, (720, 375 + self.number), 18, 0) if self.position == 37: - a37 = pygame.draw.circle(screen, self.pawnColor, (700, 440 + self.number), 20, 0) + a37 = pygame.draw.circle(screen, self.pawnColor, (720, 440 + self.number), 18, 0) if self.position == 38: - a38 = pygame.draw.circle(screen, self.pawnColor, (700, 505 + self.number), 20, 0) + a38 = pygame.draw.circle(screen, self.pawnColor, (720, 505 + self.number), 18, 0) if self.position == 39: - a39 = pygame.draw.circle(screen, self.pawnColor, (700, 560 + self.number), 20, 0) + a39 = pygame.draw.circle(screen, self.pawnColor, (720, 560 + self.number), 18, 0) if self.position == 40: - a40 = pygame.draw.circle(screen, self.pawnColor, (700, 625 + self.number), 20, 0) + a40 = pygame.draw.circle(screen, self.pawnColor, (720, 625 + self.number), 18, 0) def takeTurn(self, numTurns): # print menu for each players turn and add one to turnsTaken and work as the way for the turn to be taken self.takingTurn = True # true until turn is over @@ -194,9 +195,10 @@ def takeTurn(self, numTurns): # print menu for each player updateSideBar() while self.takingTurn: pos = pygame.mouse.get_pos() - RollDice = button(BUTTONCOLOR[0], 752+50, 450, 200, 50, "Roll Dice",36) + RollDice = button(PLAYERCOLOR[self.number-1], 752*(1/4), 755, 200, 40, "Roll Dice",32) RollDice.draw(screen) - BuyHouses = button(PLAYERCOLOR[1], 752+50, 550, 200, 50, "Buy Houses",36) + BuyHouses = button(PLAYERCOLOR[self.number-1], 400, 755, 250, 40, "BUY HOUSES",32) + BuyHouses.draw(screen) pos = pygame.mouse.get_pos() for event in pygame.event.get(): # end python interpretter if window has been closed @@ -219,8 +221,8 @@ def takeTurn(self, numTurns): # print menu for each player while waitingToClick: #print("Within CooC function") screen.blit(bg, [0, 0]) - prompt = button(PLAYERCOLOR[0], 100, 752 * (1 / 3), 754 - 200, 100, str(currentPlayerCard)) - ok = button(BUTTONCOLOR[3], 754 / 2 - (754 * (1 / 4)), 752 / 2, 75, 50, "Ok") + prompt = button(PLAYERCOLOR[self.number-1], 100, 752 * (1 / 3), 754 - 200, 100, str(currentPlayerCard), 24) + ok = button(BUTTONCOLOR[1], 754 / 2 - (754 * (1 / 4)), 752 / 2, 75, 50, "Ok") ok.draw(screen) prompt.draw(screen) pygame.display.update() @@ -239,9 +241,9 @@ def takeTurn(self, numTurns): # print menu for each player waitingToBuy = True while waitingToBuy: screen.blit(bg, [0, 0]) - prompt = button(PLAYERCOLOR[0], 100, 752 * (1 / 3), 754 -200, 100, "Buy " + EstateDict[self.position]["estateName"] + " ?") - yes = button((0, 255, 0), 754 / 2 - (754 * (1/4)), 752 / 2, 75, 50, "Yes") - no = button((255, 0, 0), 754 / 2 + (754 * (1/4)), 752 / 2, 75, 50, "No") + prompt = button(PLAYERCOLOR[self.number-1], 100, 752 * (1 / 3), 754 -200, 100, "Buy " + EstateDict[self.position]["estateName"] + " ?", 24) + yes = button((0, 255, 0), 754 / 2 - (754 * (1/4)), 752 / 2, 75, 50, "Yes", 36) + no = button((255, 0, 0), 754 / 2 + (754 * (1/4)), 752 / 2, 75, 50, "No", 36) prompt.draw(screen) yes.draw(screen) no.draw(screen) @@ -329,14 +331,14 @@ def takeTurn(self, numTurns): # print menu for each player def buyAHouse(self): jayarama = True - while jayarama and self.numProperties != 0: + if self.numProperties != 0: pos = pygame.mouse.get_pos() - print("jayarama") + print("jayarama " + str(self.numProperties)) for property in sideBar: - print("property") for event in pygame.event.get(): if event.type == pygame.MOUSEBUTTONDOWN and property.isOver(pos): tempButton = property + print("Houses Index: " + str(EstateDict[propertyIndex]["houses"])) propertyIndex = 0 for estate in EstateDict: print(estate) @@ -356,6 +358,7 @@ def buyAHouse(self): property.draw(screen) pygame.display.update() + break updateSideBar() def CheckforChanceOrChest(self): @@ -699,16 +702,16 @@ def updateSideBar(): whiteOutButton = button(white, 752 , pixelcount, 448, 800, "") whiteOutButton.draw(screen) pixelcount = pixelcount + 40 - currentPlayer = button(white, 752 , pixelcount, 448, 15, "Player " + str(players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].number) + "\'s turn") + currentPlayer = button(white, 752 , pixelcount, 448, 15, "Player " + str(players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].number) + "\'s turn", 24) currentPlayer.draw(screen) pixelcount = pixelcount + 40 - currentBank = button(white, 752 , pixelcount, 448, 15, "Money: " + str(players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].money)) + currentBank = button(white, 752 , pixelcount, 448, 15, "Money: " + str(players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].money), 24) currentBank.draw(screen) pixelcount = pixelcount + 40 sideBar.clear() for estate in EstateDict: if int(EstateDict[estate]["ownerNumber"]) == (players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].number): - e = button(white, 752, pixelcount, 448, 15, EstateDict[estate]["estateName"] + ": " + EstateDict[estate]["houses"]) + e = button(white, 752, pixelcount, 448, 15, EstateDict[estate]["estateName"] + ": " + EstateDict[estate]["houses"], 24) e.draw(screen) sideBar.append(e) pixelcount = pixelcount + 40 From d9914b31817712051a6844ca9cf81c23b1b3b36a Mon Sep 17 00:00:00 2001 From: Guido Schratzer Date: Tue, 17 Jan 2023 17:36:17 +0200 Subject: [PATCH 3/7] Added PropertyColor in Sidemap for better organize --- Monopoly.py | 24 ++++---- RealEstateDictionary.py | 56 +++++++++--------- .../RealEstateDictionary.cpython-37.pyc | Bin 2533 -> 2452 bytes 3 files changed, 41 insertions(+), 39 deletions(-) diff --git a/Monopoly.py b/Monopoly.py index a36fb5b..20d6b66 100644 --- a/Monopoly.py +++ b/Monopoly.py @@ -9,8 +9,9 @@ from Chance import Chance pygame.init() -PLAYERCOLOR = [(0, 0, 255), (0, 255, 0), (255, 0, 0), (255, 255, 0)] #BLUE, GREEN, RED, YELLOW -BUTTONCOLOR = [(11,253,114), (0, 255, 0), (255, 0, 0), (192,192,192)] +PLAYERCOLOR = [(43, 166, 184), (0, 255, 0), (255, 0, 0), (255, 255, 0)] #BLUE, GREEN, RED, YELLOW +BUTTONCOLOR = [(11, 253, 114), (0, 255, 0), (255, 0, 0), (192,192,192)] +PROPERTYCOLOR = [(94, 54, 117), (211, 233, 247), (174, 45, 127), (248, 129, 26), (246, 11, 41), (255, 236, 35), (65, 153, 79), (90, 109, 185), (255, 255, 255), (255, 255, 255)] import random @@ -331,19 +332,19 @@ def takeTurn(self, numTurns): # print menu for each player def buyAHouse(self): jayarama = True - if self.numProperties != 0: + while jayarama and self.numProperties != 0: pos = pygame.mouse.get_pos() - print("jayarama " + str(self.numProperties)) for property in sideBar: for event in pygame.event.get(): + print(event, " is the event ") if event.type == pygame.MOUSEBUTTONDOWN and property.isOver(pos): + print(str(jayarama)) tempButton = property - print("Houses Index: " + str(EstateDict[propertyIndex]["houses"])) propertyIndex = 0 for estate in EstateDict: print(estate) if EstateDict[estate]["estateName"] == property.text.split(':')[0]: - print(tempButton.text) + print("Property found: " + property.text.split(':')[0]) propertyIndex = estate if int(EstateDict[propertyIndex]["houses"]) > 3: jayarama = False @@ -352,13 +353,13 @@ def buyAHouse(self): if players[theBoard.totalTurnsTaken % theBoard.numPlayers].money >= int(EstateDict[estate]["houseCost"]): print(propertyIndex) jayarama = False + #set a buy house EstateDict[propertyIndex]["houses"] = str(int(EstateDict[propertyIndex]["houses"]) + 1) players[theBoard.totalTurnsTaken % theBoard.numPlayers].money = players[theBoard.totalTurnsTaken % theBoard.numPlayers].money - int(EstateDict[propertyIndex]["houseCost"]) print("you bought", EstateDict[propertyIndex]["estateName"]) property.draw(screen) pygame.display.update() - break updateSideBar() def CheckforChanceOrChest(self): @@ -432,7 +433,7 @@ def CheckforChanceOrChest(self): print("Position chest", test) chance = Chance() currentPlayerCard = chance.selectCardforCurrentPlayer() - + #different Playercards if (currentPlayerCard.type == 'go To'): if self.position > currentPlayerCard.effect: self.money = self.money + 200 @@ -711,10 +712,11 @@ def updateSideBar(): sideBar.clear() for estate in EstateDict: if int(EstateDict[estate]["ownerNumber"]) == (players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].number): - e = button(white, 752, pixelcount, 448, 15, EstateDict[estate]["estateName"] + ": " + EstateDict[estate]["houses"], 24) + colorGroup = int(EstateDict[estate]["group"]) + e = button(PROPERTYCOLOR[colorGroup], 752, pixelcount, 448, 20, EstateDict[estate]["estateName"] + ": " + EstateDict[estate]["houses"], 19) e.draw(screen) sideBar.append(e) - pixelcount = pixelcount + 40 + pixelcount = pixelcount + 20 if __name__ == "__main__": @@ -751,7 +753,7 @@ def updateSideBar(): pygame.display.update() - WinnerButton = button((255,0,0), 752/2, 754/2, 800, 100, "The Winner is Player " + str(gameWinner) + "!!!!!!!!!!") + WinnerButton = button(BUTTONCOLO[0], 752/2, 754/2, 800, 100, "The Winner is Player " + str(gameWinner) + "!!!!!!!!!!") WinnerButton.draw(screen) for p in players: diff --git a/RealEstateDictionary.py b/RealEstateDictionary.py index c3bd410..27222d6 100644 --- a/RealEstateDictionary.py +++ b/RealEstateDictionary.py @@ -36,34 +36,34 @@ # Should keep formatting of tabspacing for easy editing: **USE Insert button on keyboard when editing -EstateDict = { 2: {'estateName': 'Mediterranean Ave.' ,'price': '60' ,'rent': '2' , 'group': 'Purple' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '10' , 'own2HouseRent':'30' , 'own3HouseRent': '90' , 'own4HouseRent': '160' , 'hotelRent': '250' , 'mortgaged': '0', 'mortgageValue': '30', 'houseCost': '50'}, - 4: {'estateName': 'Baltic Ave.' ,'price': '60' ,'rent': '4' , 'group': 'Purple' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '20' , 'own2HouseRent':'60' , 'own3HouseRent': '180' , 'own4HouseRent': '320' , 'hotelRent': '450' , 'mortgaged': '0', 'mortgageValue': '30', 'houseCost': '50'}, - 7: {'estateName': 'Oriental Ave.' ,'price': '100' ,'rent': '6' , 'group': 'Light-Blue' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '30' , 'own2HouseRent':'90' , 'own3HouseRent': '270' , 'own4HouseRent': '400' , 'hotelRent': '550' , 'mortgaged': '0', 'mortgageValue': '50', 'houseCost': '50'}, - 9: {'estateName': 'Vermont Ave.' ,'price': '100' ,'rent': '6' , 'group': 'Light-Blue' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '30' , 'own2HouseRent':'90' , 'own3HouseRent': '270' , 'own4HouseRent': '400' , 'hotelRent': '550' , 'mortgaged': '0', 'mortgageValue': '50', 'houseCost': '50'}, - 10: {'estateName': 'Connecticut Ave.' ,'price': '120' ,'rent': '8' , 'group': 'Light-Blue' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '40' , 'own2HouseRent':'100' , 'own3HouseRent': '300' , 'own4HouseRent': '450' , 'hotelRent': '600' , 'mortgaged': '0', 'mortgageValue': '60', 'houseCost': '50'}, - 12: {'estateName': 'St. Charles Place' ,'price': '140' ,'rent': '10', 'group': 'Violet' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '50' , 'own2HouseRent':'150' , 'own3HouseRent': '450' , 'own4HouseRent': '625' , 'hotelRent': '750' , 'mortgaged': '0', 'mortgageValue': '70', 'houseCost': '100'}, - 14: {'estateName': 'States Ave.' ,'price': '140' ,'rent': '10', 'group': 'Violet' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '50' , 'own2HouseRent':'150' , 'own3HouseRent': '450' , 'own4HouseRent': '625' , 'hotelRent': '750' , 'mortgaged': '0', 'mortgageValue': '70', 'houseCost': '100'}, - 15: {'estateName': 'Virginia Ave.' ,'price': '160' ,'rent': '12', 'group': 'Violet' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '60' , 'own2HouseRent':'180' , 'own3HouseRent': '500' , 'own4HouseRent': '700' , 'hotelRent': '900' , 'mortgaged': '0', 'mortgageValue': '80', 'houseCost': '100'}, - 17: {'estateName': 'St. James Place' ,'price': '180' ,'rent': '14', 'group': 'Orange' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '70' , 'own2HouseRent':'200' , 'own3HouseRent': '550' , 'own4HouseRent': '750' , 'hotelRent': '950' , 'mortgaged': '0', 'mortgageValue': '90', 'houseCost': '100'}, - 19: {'estateName': 'Tennessee Ave.' ,'price': '180' ,'rent': '14', 'group': 'Orange' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '70' , 'own2HouseRent':'200' , 'own3HouseRent': '550' , 'own4HouseRent': '750' , 'hotelRent': '950' , 'mortgaged': '0', 'mortgageValue': '90', 'houseCost': '100'}, - 20: {'estateName': 'New York Ave.' ,'price': '200' ,'rent': '16', 'group': 'Orange' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '80' , 'own2HouseRent':'220' , 'own3HouseRent': '600' , 'own4HouseRent': '800' , 'hotelRent': '1000' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '100'}, - 22: {'estateName': 'Kentucky Ave.' ,'price': '220' ,'rent': '18', 'group': 'Red' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '90' , 'own2HouseRent':'250' , 'own3HouseRent': '700' , 'own4HouseRent': '875' , 'hotelRent': '1050' , 'mortgaged': '0', 'mortgageValue': '110', 'houseCost': '150'}, - 24: {'estateName': 'Indiana Ave.' ,'price': '220' ,'rent': '18', 'group': 'Red' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '90' , 'own2HouseRent':'250' , 'own3HouseRent': '700' , 'own4HouseRent': '875' , 'hotelRent': '1050' , 'mortgaged': '0', 'mortgageValue': '110', 'houseCost': '150'}, - 25: {'estateName': 'Illinois Ave.' ,'price': '240' ,'rent': '20', 'group': 'Red' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '100' , 'own2HouseRent':'300' , 'own3HouseRent': '750' , 'own4HouseRent': '925' , 'hotelRent': '1100' , 'mortgaged': '0', 'mortgageValue': '120', 'houseCost': '150'}, - 27: {'estateName': 'Atlantic Ave.' ,'price': '260' ,'rent': '22', 'group': 'Yellow' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '110' , 'own2HouseRent':'330' , 'own3HouseRent': '800' , 'own4HouseRent': '975' , 'hotelRent': '1150' , 'mortgaged': '0', 'mortgageValue': '130', 'houseCost': '150'}, - 28: {'estateName': 'Ventnor Ave.' ,'price': '260' ,'rent': '22', 'group': 'Yellow' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '110' , 'own2HouseRent':'330' , 'own3HouseRent': '800' , 'own4HouseRent': '975' , 'hotelRent': '1150' , 'mortgaged': '0', 'mortgageValue': '130', 'houseCost': '150'}, - 30: {'estateName': 'Marvin Gardens' ,'price': '280' ,'rent': '24', 'group': 'Yellow' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '120' , 'own2HouseRent':'360' , 'own3HouseRent': '850' , 'own4HouseRent': '1025' , 'hotelRent': '1200' , 'mortgaged': '0', 'mortgageValue': '140', 'houseCost': '150'}, - 32: {'estateName': 'Pacific Ave.' ,'price': '300' ,'rent': '26', 'group': 'Dark-Green' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '130' , 'own2HouseRent':'390' , 'own3HouseRent': '900' , 'own4HouseRent': '1100' , 'hotelRent': '1275' , 'mortgaged': '0', 'mortgageValue': '150', 'houseCost': '200'}, - 33: {'estateName': 'North Carolina Ave.' ,'price': '300' ,'rent': '26', 'group': 'Dark-Green' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '130' , 'own2HouseRent':'390' , 'own3HouseRent': '900' , 'own4HouseRent': '1100' , 'hotelRent': '1275' , 'mortgaged': '0', 'mortgageValue': '150', 'houseCost': '200'}, - 35: {'estateName': 'Pennsylvania Ave.' ,'price': '320' ,'rent': '28', 'group': 'Dark-Green' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '150' , 'own2HouseRent':'450' , 'own3HouseRent': '1000' , 'own4HouseRent': '1200' , 'hotelRent': '1400' , 'mortgaged': '0', 'mortgageValue': '160', 'houseCost': '200'}, - 38: {'estateName': 'Park Place' ,'price': '350' ,'rent': '35', 'group': 'Dark-Blue' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '175' , 'own2HouseRent':'500' , 'own3HouseRent': '1100' , 'own4HouseRent': '1300' , 'hotelRent': '1500' , 'mortgaged': '0', 'mortgageValue': '175', 'houseCost': '200'}, - 40: {'estateName': 'Boardwalk' ,'price': '400' ,'rent': '50', 'group': 'Dark-Blue' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '200' , 'own2HouseRent': '600' , 'own3HouseRent': '1400' , 'own4HouseRent': '1700' , 'hotelRent': '2000' , 'mortgaged': '0', 'mortgageValue': '200', 'houseCost': '200'}, - 13: {'estateName': 'Electric Company' ,'price': '150' ,'rent': '0', 'group': 'Utilities' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '75', 'houseCost': '0'}, - 29: {'estateName': 'Water Works' ,'price': '150' ,'rent': '0', 'group': 'Utilities' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '75', 'houseCost': '0'}, - 6: {'estateName': 'Reading Railroad' ,'price': '200' ,'rent': '0', 'group': 'Railroad' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'}, - 16: {'estateName': 'Pennsylvania Railroad' ,'price': '200' ,'rent': '0', 'group': 'Railroad' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'}, - 26: {'estateName': 'B. & O. Railroad' ,'price': '200' ,'rent': '0', 'group': 'Railroad' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'}, - 36: {'estateName': 'Short Line Railroad' ,'price': '200' ,'rent': '0', 'group': 'Railroad' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'} +EstateDict = { 2: {'estateName': 'Mediterranean Ave.' ,'price': '60' ,'rent': '2' , 'group': '0' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '10' , 'own2HouseRent':'30' , 'own3HouseRent': '90' , 'own4HouseRent': '160' , 'hotelRent': '250' , 'mortgaged': '0', 'mortgageValue': '30', 'houseCost': '50'}, + 4: {'estateName': 'Baltic Ave.' ,'price': '60' ,'rent': '4' , 'group': '0' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '20' , 'own2HouseRent':'60' , 'own3HouseRent': '180' , 'own4HouseRent': '320' , 'hotelRent': '450' , 'mortgaged': '0', 'mortgageValue': '30', 'houseCost': '50'}, + 7: {'estateName': 'Oriental Ave.' ,'price': '100' ,'rent': '6' , 'group': '1' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '30' , 'own2HouseRent':'90' , 'own3HouseRent': '270' , 'own4HouseRent': '400' , 'hotelRent': '550' , 'mortgaged': '0', 'mortgageValue': '50', 'houseCost': '50'}, + 9: {'estateName': 'Vermont Ave.' ,'price': '100' ,'rent': '6' , 'group': '1' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '30' , 'own2HouseRent':'90' , 'own3HouseRent': '270' , 'own4HouseRent': '400' , 'hotelRent': '550' , 'mortgaged': '0', 'mortgageValue': '50', 'houseCost': '50'}, + 10: {'estateName': 'Connecticut Ave.' ,'price': '120' ,'rent': '8' , 'group': '1' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '40' , 'own2HouseRent':'100' , 'own3HouseRent': '300' , 'own4HouseRent': '450' , 'hotelRent': '600' , 'mortgaged': '0', 'mortgageValue': '60', 'houseCost': '50'}, + 12: {'estateName': 'St. Charles Place' ,'price': '140' ,'rent': '10', 'group': '2' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '50' , 'own2HouseRent':'150' , 'own3HouseRent': '450' , 'own4HouseRent': '625' , 'hotelRent': '750' , 'mortgaged': '0', 'mortgageValue': '70', 'houseCost': '100'}, + 14: {'estateName': 'States Ave.' ,'price': '140' ,'rent': '10', 'group': '2' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '50' , 'own2HouseRent':'150' , 'own3HouseRent': '450' , 'own4HouseRent': '625' , 'hotelRent': '750' , 'mortgaged': '0', 'mortgageValue': '70', 'houseCost': '100'}, + 15: {'estateName': 'Virginia Ave.' ,'price': '160' ,'rent': '12', 'group': '2' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '60' , 'own2HouseRent':'180' , 'own3HouseRent': '500' , 'own4HouseRent': '700' , 'hotelRent': '900' , 'mortgaged': '0', 'mortgageValue': '80', 'houseCost': '100'}, + 17: {'estateName': 'St. James Place' ,'price': '180' ,'rent': '14', 'group': '3' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '70' , 'own2HouseRent':'200' , 'own3HouseRent': '550' , 'own4HouseRent': '750' , 'hotelRent': '950' , 'mortgaged': '0', 'mortgageValue': '90', 'houseCost': '100'}, + 19: {'estateName': 'Tennessee Ave.' ,'price': '180' ,'rent': '14', 'group': '3' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '70' , 'own2HouseRent':'200' , 'own3HouseRent': '550' , 'own4HouseRent': '750' , 'hotelRent': '950' , 'mortgaged': '0', 'mortgageValue': '90', 'houseCost': '100'}, + 20: {'estateName': 'New York Ave.' ,'price': '200' ,'rent': '16', 'group': '3' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '80' , 'own2HouseRent':'220' , 'own3HouseRent': '600' , 'own4HouseRent': '800' , 'hotelRent': '1000' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '100'}, + 22: {'estateName': 'Kentucky Ave.' ,'price': '220' ,'rent': '18', 'group': '4' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '90' , 'own2HouseRent':'250' , 'own3HouseRent': '700' , 'own4HouseRent': '875' , 'hotelRent': '1050' , 'mortgaged': '0', 'mortgageValue': '110', 'houseCost': '150'}, + 24: {'estateName': 'Indiana Ave.' ,'price': '220' ,'rent': '18', 'group': '4' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '90' , 'own2HouseRent':'250' , 'own3HouseRent': '700' , 'own4HouseRent': '875' , 'hotelRent': '1050' , 'mortgaged': '0', 'mortgageValue': '110', 'houseCost': '150'}, + 25: {'estateName': 'Illinois Ave.' ,'price': '240' ,'rent': '20', 'group': '4' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '100' , 'own2HouseRent':'300' , 'own3HouseRent': '750' , 'own4HouseRent': '925' , 'hotelRent': '1100' , 'mortgaged': '0', 'mortgageValue': '120', 'houseCost': '150'}, + 27: {'estateName': 'Atlantic Ave.' ,'price': '260' ,'rent': '22', 'group': '5' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '110' , 'own2HouseRent':'330' , 'own3HouseRent': '800' , 'own4HouseRent': '975' , 'hotelRent': '1150' , 'mortgaged': '0', 'mortgageValue': '130', 'houseCost': '150'}, + 28: {'estateName': 'Ventnor Ave.' ,'price': '260' ,'rent': '22', 'group': '5' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '110' , 'own2HouseRent':'330' , 'own3HouseRent': '800' , 'own4HouseRent': '975' , 'hotelRent': '1150' , 'mortgaged': '0', 'mortgageValue': '130', 'houseCost': '150'}, + 30: {'estateName': 'Marvin Gardens' ,'price': '280' ,'rent': '24', 'group': '5' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '120' , 'own2HouseRent':'360' , 'own3HouseRent': '850' , 'own4HouseRent': '1025' , 'hotelRent': '1200' , 'mortgaged': '0', 'mortgageValue': '140', 'houseCost': '150'}, + 32: {'estateName': 'Pacific Ave.' ,'price': '300' ,'rent': '26', 'group': '6' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '130' , 'own2HouseRent':'390' , 'own3HouseRent': '900' , 'own4HouseRent': '1100' , 'hotelRent': '1275' , 'mortgaged': '0', 'mortgageValue': '150', 'houseCost': '200'}, + 33: {'estateName': 'North Carolina Ave.' ,'price': '300' ,'rent': '26', 'group': '6' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '130' , 'own2HouseRent':'390' , 'own3HouseRent': '900' , 'own4HouseRent': '1100' , 'hotelRent': '1275' , 'mortgaged': '0', 'mortgageValue': '150', 'houseCost': '200'}, + 35: {'estateName': 'Pennsylvania Ave.' ,'price': '320' ,'rent': '28', 'group': '6' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '150' , 'own2HouseRent':'450' , 'own3HouseRent': '1000' , 'own4HouseRent': '1200' , 'hotelRent': '1400' , 'mortgaged': '0', 'mortgageValue': '160', 'houseCost': '200'}, + 38: {'estateName': 'Park Place' ,'price': '350' ,'rent': '35', 'group': '7' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '175' , 'own2HouseRent':'500' , 'own3HouseRent': '1100' , 'own4HouseRent': '1300' , 'hotelRent': '1500' , 'mortgaged': '0', 'mortgageValue': '175', 'houseCost': '200'}, + 40: {'estateName': 'Boardwalk' ,'price': '400' ,'rent': '50', 'group': '7' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '200' , 'own2HouseRent': '600' , 'own3HouseRent': '1400' , 'own4HouseRent': '1700' , 'hotelRent': '2000' , 'mortgaged': '0', 'mortgageValue': '200', 'houseCost': '200'}, + 13: {'estateName': 'Electric Company' ,'price': '150' ,'rent': '0', 'group': '8' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '75', 'houseCost': '0'}, + 29: {'estateName': 'Water Works' ,'price': '150' ,'rent': '0', 'group': '8' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '75', 'houseCost': '0'}, + 6: {'estateName': 'Reading Railroad' ,'price': '200' ,'rent': '0', 'group': '9' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'}, + 16: {'estateName': 'Pennsylvania Railroad' ,'price': '200' ,'rent': '0', 'group': '9' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'}, + 26: {'estateName': 'B. & O. Railroad' ,'price': '200' ,'rent': '0', 'group': '9' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'}, + 36: {'estateName': 'Short Line Railroad' ,'price': '200' ,'rent': '0', 'group': '9' ,'available': '1' , 'ownerNumber': '-1', 'houses': '0', 'hotel': '0', 'monopoly': '0', 'own1HouseRent': '0' , 'own2HouseRent':'0' , 'own3HouseRent': '0' , 'own4HouseRent': '0' , 'hotelRent': '0' , 'mortgaged': '0', 'mortgageValue': '100', 'houseCost': '0'} } # #these lines are to test diff --git a/__pycache__/RealEstateDictionary.cpython-37.pyc b/__pycache__/RealEstateDictionary.cpython-37.pyc index d465d758ccbea3f9fbc3bd7ed01fcc6e4594e2bf..dd0f77941dc4c208b62b18271e28bf8d2222e6a1 100644 GIT binary patch delta 1203 zcma)+%Tg0j5QZ}(OcG*ZAW_kvLI`RQWCB72i5M;--c7s_HH!12qJUP)jcn!x+*pSt z8||AY-dul$z(@}pQ#@|&2K}W zQ$;Hb`RIruhB!JHN0GpRolYd7A;sSjv^z`~2l*zAPIP&w46-;xW{;Al!#IL&QVHcc zx*uivuw%%f$0s|^gD05qBxRbC^`egjw|P<~kSEiR0;vI>kma8WL|LcV^%#}%UrWt346DTvzD%l0To8$oYE;h#T z3}OlwNlmk3*<~dVbqO;Zp4TOBwSdd8s+8rFY!-8v$ATy2G_J6$MO-Ddq^N6wsOz|a zn?6?#w{RPGaF?z=<*He%qwXw_yJSna$E&a6KCwKnN_P1m5cQC&`N-#zTTy1hWxC?Z z)xcvs!Bf?wv;R%byNYLcPOPc06>f0iKPHD{a74>^0n>?h3j<3GJ1gs!FG=@VWhBdg zxj!Z6?_#f*B8=Cb>vu)+JF8@Cfv7iusJ9pil5%~grxC(NJyhHj%}6d`Ylf|rw%UeE z_V-VbE=_!GZ;G_u2;172Xz4ZaORqB?7lkOqcC^O0EdECG-F9TuFpRDA!uqQDp|xiA f&b`}szq0vJOvL&LO$syiTd(l{sZ|k+@h|@XcgQtL literal 2533 zcmbVO+g95~6!i@U8=IIA(p;cbngl{yW65{YG)*9s+yEC6Qq(r-;4`sRWXT=Lu&i&% z5A;9!6?*LxztE@dk!4~(bSi`O(KMwfO*2?cQ--o1=V%tJ%VVq@cIM~`&5y9I(gIzh&qlPQ z(sjB)H^It;TDK-*Ez%NwKBn~r>=gLB4XtRX^(Eb*OLTX{V}|a5vrH>s-G_yYesv<& zSIGJ6F)f+lH8u7S8N2vQ2>0sSMon($bPsI8K zQ~B$dmYj$O@b?Z{=}_xE{YH$AM?5ys>n$SUU^PS52h46}j8#H^-cgI%V3k6afe4fI z`-s-yBn|Kc&t&xGM63=plVtse)>PL%uve6S=llxK4i{&*xs_HQfR|(g;s>ih|pjg4GqOQ*QY3{hp<-4rI z{i&`nn%qwaZn^$cOW3`xpJJ!XFxfE#XY4bJi``!5ma?_vg*p}V3 z&Ay)nOM50C?n@cDERHWr4r&zFR1~S|rC%AXwwvF8AgWQ5WED_>MdpwT zWa9<~UT)L2EZ&5d-e3m~ijb)5v9k0dt*WZ(%^kRF%4VAhlRHYoWKHO5U?dL>+vF}5 zD0#eEtmyHYEPhS(W)5WKoq?b1p&?p^Ww1e<;WH%L-8uevO;y}CQuU8=_RVvYo7Fnl)4_@ z=LAZvA}KO@O+$5_TVyb65T=)XZkmQ=8-pYuDr>TiBop95^oeUSYuF(?#_Yw47||nc zn)VsWhpCLO2Ofg@Xr-Y3mTTE!5c=#66Q_oyY%@XJa-f0s#)@UwV%+0(#D(Yrk4WFk zG+5L45RL?R==4)2PV(D=a|<>&0ST>Gt9bLfn6I|7$%Ksz!gS^usGHL_PuZtN6zj0S zaCqqkgodpx$sU#}UMf%@jFA@PAtxe%WK=!1VI$}>W}aX}wlRSSRWG+?VxDl)luf(S zWmaELy>SiGa1HKYE-K#4Ta1NJ-lAWQm)qxz46CK=;}{B?kv=`V^A^U!z1YretSQUN z-r9wUH-FGZw#qBR;uo8%i{~+Xf}G!!m{lZT82HM8)X!PB-Z52>E^OLAyTi~sA X`~LL9j!iw2KU#qkrwUk({-6K9Y)iP| From cd4fe74d6f15c7a62260274d728faf3382f68746 Mon Sep 17 00:00:00 2001 From: Guido Schratzer Date: Tue, 17 Jan 2023 17:59:12 +0200 Subject: [PATCH 4/7] Bug ausgessert bei Winner --- Monopoly.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Monopoly.py b/Monopoly.py index 20d6b66..3a8889b 100644 --- a/Monopoly.py +++ b/Monopoly.py @@ -15,7 +15,7 @@ import random -class Dice(object): +class Dice(object):pus def __init__(self): self.dice1 = random.randint(1, 6) self.dice2 = random.randint(1, 6) @@ -753,7 +753,7 @@ def updateSideBar(): pygame.display.update() - WinnerButton = button(BUTTONCOLO[0], 752/2, 754/2, 800, 100, "The Winner is Player " + str(gameWinner) + "!!!!!!!!!!") + WinnerButton = button(BUTTONCOLOR[0], 752/2, 754/2, 800, 100, "The Winner is Player " + str(gameWinner) + "!!!!!!!!!!") WinnerButton.draw(screen) for p in players: From 7bed5f65c53f9d1630c9014f1bbaa64969a6122e Mon Sep 17 00:00:00 2001 From: Guido Schratzer Date: Tue, 17 Jan 2023 18:00:30 +0200 Subject: [PATCH 5/7] update --- Monopoly.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Monopoly.py b/Monopoly.py index 3a8889b..c90db21 100644 --- a/Monopoly.py +++ b/Monopoly.py @@ -15,7 +15,7 @@ import random -class Dice(object):pus +class Dice(object): def __init__(self): self.dice1 = random.randint(1, 6) self.dice2 = random.randint(1, 6) From f050b1d148a6c565fdbcc9ee474820ef97c26079 Mon Sep 17 00:00:00 2001 From: Guido Schratzer Date: Tue, 31 Jan 2023 14:15:55 +0200 Subject: [PATCH 6/7] visible the Dice on right Sidebar --- Monopoly.py | 46 ++++++++++++++++++++++++++++++++--- dice.py | 69 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 112 insertions(+), 3 deletions(-) create mode 100644 dice.py diff --git a/Monopoly.py b/Monopoly.py index c90db21..b505341 100644 --- a/Monopoly.py +++ b/Monopoly.py @@ -1,6 +1,7 @@ # decent example of buttons -import sys, pygame, random +import sys, pygame, random, math +import time, io, base64 from pygame.locals import * from RealEstateDictionary import EstateDict import Dice @@ -14,6 +15,30 @@ PROPERTYCOLOR = [(94, 54, 117), (211, 233, 247), (174, 45, 127), (248, 129, 26), (246, 11, 41), (255, 236, 35), (65, 153, 79), (90, 109, 185), (255, 255, 255), (255, 255, 255)] import random +#what we have here is just image strings in base64 +img1 = 'iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAYAAAD0eNT6AAAgAElEQVR4Xu3dW4xV5fk/8FdJwAvbGI1RBm2iMalGewMOgqAWQUEFo6KmAZuo9RB7URXi+QB4PgTUXtR4qJhUSKOiRlBBQaqCICPcVKNNjCZVBo3RmNYLIUH+eXd+mNq/ZRbMzN5rvc9nJRPAvnut9/msL50vM3v23iultCM5CBAgQIAAgVACeykAoe63YQkQIECAQEtAARAEAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBSA/8vAQQcdlLq7u1NXV1frY/jw4a2Pnb/PvzoIECBAoP4Cvb29acuWLWnnrzt/n//c09OTvvjii/oP0YYdhi4AxxxzTDr11FPTOeeck8aNG9cGbpcgQIAAgU4LrF27Nj333HPp1VdfTe+9916nt9Ox64crABMnTkwnn3xymjJlSho5cmTH4F2YAAECBDovsGnTprR8+fL0+uuvp1WrVnV+Q23cQZgCcNFFF6Urrrii9WV+BwECBAgQ+G+B/O2Bhx9+OC1cuDAETvEFYMaMGa1P/OPHjw9xQw1JgAABAv0TWLNmTasILF68uH8nqvmjiy0A+fv6+RP/pEmTan4LbI8AAQIE6iiwcuXKVhHIzxco8SiuAIwZMybdfPPN6YwzzijxfpmJAAECBNos8NJLL6U77rgjrV+/vs1XHtzLFVUALrzwwvTAAw+k/fbbb3DVnJ0AAQIEQgl888036eqrr05PPvlkMXMXUwDuvvvudP311xdzYwxCgAABAvUTuOeee9INN9xQv43twY6KKADPP/98Ouuss/ZgfA8hQIAAAQK7J/DCCy+ks88+e/ceVMPVjS8AH3zwQTryyCNrSGtLBAgQIFCqwIcffpiOOuqoRo/X6AKwY8eORuPbPAECBAg0W2CvvfKn0WYejS0Ab7zxRjrxxBObqW7XBAgQIFCEwJtvvplOOumkRs7SyAJw++23t37Uz0GAAAECBDotkH9E8JZbbun0Nnb7+o0rAPklfZ944ondHtQDCBAgQIDAYAlcfPHFjXsJ4UYVgNNOOy29/PLLg3X/nJcAAQIECOyxwOmnn55eeeWVPX58ux/YmAKQ37lv2bJlafjw4e02cj0CBAgQINCnwJYtW9LUqVNTfofBJhyNKQD5k7+X921CpOyRAAECcQXyywbnEtCEoxEFIL+xz5IlS5rgaY8ECBAgEFxg+vTpjXgDoUYUgNdee827+gX/C2V8AgQINEUgv4vgKaecUvvt1r4AzJgxIy1atKj2kDZIgAABAgR2CsycOTMtXry41iC1LwBvvfVWGj9+fK0RbY4AAQIECPynwJo1a9IJJ5xQa5RaFwA/81/r7NgcAQIECOxCoO6vDVDrArBhw4bU3d0tYAQIECBAoHECPT09afTo0bXdd20LwOTJk9Py5ctrC2djBAgQIECgL4EpU6akFStW9LWsI/97bQvA/Pnz06xZszqC4qIECBAgQGAgBBYsWJBmz549EKca8HPUtgC899576eijjx7wgZ2QAAECBAi0S+D9999PxxxzTLsut1vXqWUBGDVqVHr33Xd3axCLCRAgQIBAHQWOPfbYtHHjxtptrZYFYM6cOWnu3Lm1w7IhAgQIECCwuwL589m8efN292GDvr6WBSD/6z9/FcBBgAABAgSaLpD/9Z+/ClC3o3YFIL/bX29vb92c7IcAAQIECOyxQFdXV8rvFlino3YFIL+L0tKlS+tkZC8ECBAgQKBfAtOmTWu9pX2djtoVgMsuuyw98sgjdTKyFwIECBAg0C+Byy+/PD366KP9OsdAP7h2BSA/WSI/CdBBgAABAgRKEchPAqzbk9trVwDyv/7zVwEcBAgQIECgFIH8r//8VYA6HbUrAC+++GLK3ytxECBAgACBUgTyc9vOPPPMWo1TuwLgRwBrlQ+bIUCAAIEBEKjjjwLWrgBs3rw55R+XcBAgQIAAgVIE8o+3jxgxolbj1K4A7Nixo1ZANkOAAAECBAZCYK+98qfc+hwKQH3uhZ0QIECAQMECCkAfN9dXAApOv9EIECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb/K2CWzdujX19vb+5MfmzZt/+O95Q11dXa2PESNG/PD7nf9t56/Dhg1r295diECpAgqAAlBqts3VYYF169al5cuXtz42bNgwoLsZPXp0mjJlSutj7NixA3puJyMQRUABUACiZN2cgyywZcuWtGLFirRy5cr0+uuvp/zndhzDhw9PJ598cpo0aVKaPHlyyn92ECDQt4ACoAD0nRIrCPwPgU2bNrX+hZ8/4eePHTt2dNQq/x9aLgP5I391YOTIkR3dj4sTqLOAAqAA1Dmf9lZTgfz9/AcffDA99NBDadu2bbXc5dChQ9OVV16ZrrrqqtZzCRwECPxYQAFQAPydIFBZYPv27a1P+vmT/6efflr5cZ1ceOihh7ZKQC4DQ4YM6eRWXJtArQQUAAWgVoG0mfoKLFq0qPXJv6enp76b3MXOuru7WyVg5syZjdy/TRMYaAEFQAEY6Ew5X2ECq1atav2Lf9myZUVMNnXq1NZXBCZOnFjEPIYgsKcCCoACsKfZ8bjCBb799tt09dVXp8cff7zISS+55JL0wAMPpH333bfI+QxFoC8BBUAB6Csj/veAAh999FG67LLL0urVq4uefsKECenRRx9NRxxxRNFzGo7ATwkoAAqAvxkEfiSwdu3a9Jvf/CZ99tlnIWQOOeSQ9Ne//jWNGzcuxLyGJLBTQAFQAPxtIPCDwJIlS9K5554bUuTZZ59N06dPDzm7oWMKKAAKQMzkm/r/E8jfD581a1ZomQULFrSe9+AgEEFAAVAAIuTcjH0InH/++emZZ57hlFI677zz0tNPP82CQPECCoACUHzIDbhrgfxCOVG+3181C/l5AU15oaOqM1lH4L8FFAAFwN+KwAIHHHBA+vrrrwML/O/R999///TVV1+xIVCsgAKgABQbboPtWmDMmDHpnXfewbQLgeOOOy6tX7+eEYEiBRQABaDIYBtq1wIXXHBByi/t6+hbIL908FNPPdX3QisINExAAVAAGhZZ2+2vwLx589LcuXP7e5pQj89ec+bMCTWzYcsXUAAUgPJTbsIfBPK/+vO//h27L5C/CuCNhHbfzSPqK6AAKAD1TaedDahA/n7/6aef7kl/e6ianxT48ssvp/y8AAeBEgQUAAWghByboQ+B/Ez//Mnfk/76F5X8yT+XgFwGHASaLqAAKABNz7D9VxC49NJLi31XvwrjD+iS/C6Cjz322ICe08kIdEJAAVAAOpE712yjwKpVq9KkSZPaeMXyL7Vy5co0ceLE8gc1YdECCoACUHTADZfStGnT0rJly1AMoMDUqVPT0qVLB/CMTkWg/QIKgALQ/tS5YtsEPOt/8Kj9VMDg2TpzewQUAAWgPUlzlbYLbN++PY0dOzb19PS0/doRLtjd3Z3WrVuXhgwZEmFcMxYooAAoAAXG2khZIL+17ezZs2EMosD8+fPDv4XyIPI69SALKAAKwCBHzOk7IdDb25vya/17R7vB1c/vpJjfK6Crq2twL+TsBAZBQAFQAAYhVk7ZaYFrr7023X///Z3eRojrX3PNNem+++4LMashyxJQABSAshJtmrRp06bW9/63bdtGow0CQ4cObT0XYOTIkW24mksQGDgBBUABGLg0OVMtBO699950/fXX12IvUTZxzz33pOuuuy7KuOYsREABUAAKibIxdgrkl/x95ZVXgLRR4LTTTmu9RLCDQJMEFAAFoEl5tdc+BL788st08MEHp++//55VGwX23nvv9Pnnn6cDDzywjVd1KQL9E1AAFID+JcijayXwzDPPpPPPP79We4qymaeffjqdd955UcY1ZwECCoACUECMjbBT4Pe//316+OGHgXRA4Iorrkh/+tOfOnBllySwZwIKgAKwZ8nxqFoK/OIXv/Cz/x26M/k1Af75z3926OouS2D3BRQABWD3U+MRtRTIP/43atSoWu4tyqY2btzoxwGj3OwC5lQAFIACYmyELHDXXXelm266CUYHBe6888504403dnAHLk2guoACoABUT4uVtRY4/vjjWy9I4+icQH4BprfffrtzG3BlArshoAAoALsRF0vrKrB169a0zz771HV7ofb13XffpWHDhoWa2bDNFFAAFIBmJteufyTwySefpMMPP5xKDQQ+/vjjdNhhh9VgJ7ZAYNcCCoAC4O9IAQJr165N48ePL2CS5o+wZs2aNG7cuOYPYoLiBRQABaD4kEcY0AsA1ecue0Gg+twLO/EVgH5lYMeOHf16vAcTaIfAQw89lK666qp2XMo1+hB48MEH05VXXsmJQO0FfAXAVwBqH1Ib7FsgvxOd96Tv26kdK6699tqU35HRQaDuAgqAAlD3jNpfBYHf/va36amnnqqw0pLBFrjgggvSX/7yl8G+jPMT6LeAAqAA9DtETtB5gZNPPjmtXr268xuxgzRhwoT0+uuvkyBQewEFQAGofUhtsG+BI488Mv3jH//oe6EVgy7wy1/+Mn344YeDfh0XINBfAQVAAehvhjy+BgI///nP07///e8a7MQWfvazn6V//etfIAjUXkABUABqH1Ib7FtAAejbqF0rFIB2SbtOfwUUAAWgvxny+BoI+BZADW7C/23BtwDqcy/sZNcCCoAC4O9IAQKeBFifm+hJgPW5F3aiAPQrA14IqF98HtwmAT8G2CboCpfxY4AVkCyphYCvAPgKQC2CaBP9E/BCQP3zG8hHeyGggdR0rsEUUAAUgMHMl3O3ScBLAbcJusJlvBRwBSRLaiGgACgAtQiiTfRPwJsB9c9vIB/tzYAGUtO5BlNAAVAABjNfzt0mAW8H3CboCpfxdsAVkCyphYACoADUIog20T+BTz75JB1++OH9O4lHD4jAxx9/nA477LABOZeTEBhMAQVAARjMfDl3mwS2bt2a9tlnnzZdzWV2JfDdd9+lYcOGQSJQewEFQAGofUhtsJrAcccdlzZs2FBtsVWDIjB69Oj0zjvvDMq5nZTAQAsoAArAQGfK+TokMGfOnHTbbbd16OoumwVuvfXWNG/ePBgEGiGgACgAjQiqTfYtsG7dunT88cf3vdCKQRN4++2309ixYwft/E5MYCAFFAAFYCDz5FwdFujq6kpbtmzp8C5iXn748OGpt7c35vCmbqSAAqAANDK4Nv3TAvllaBctWoSnAwIzZ85MTz31VAeu7JIE9kxAAVAA9iw5HlVLgSeffDJddNFFtdxb6ZtauHBhuvDCC0sf03wFCSgACkBBcTZK/vL/iBEjkjexam8W8v+Rbt68OeVvAzgINEVAAVAAmpJV+6woMGnSpLRq1aqKqy0bCIGJEyemlStXDsSpnINA2wQUAAWgbWFzofYI3HXXXemmm25qz8VcpSVw5513phtvvJEGgUYJKAAKQKMCa7N9C2zatKn1o2jbtm3re7EV/RYYOnRoyj+COXLkyH6fywkItFNAAVAA2pk312qTQH5P+vvvv79NV4t9mWuuuSbdd999sRFM30gBBUABaGRwbXrXAvnn0ceMGZM+/fRTVIMocOihh6b169en/PoLDgJNE1AAFICmZdZ+KwosWLAgzZ49u+Jqy/ZEYP78+WnWrFl78lCPIdBxAQVAAeh4CG1gcAS2b9/eei5AT0/P4Fwg+Fm7u7tb3/sfMmRIcAnjN1VAAVAAmppd+64gkF8VML86oGPgBfKr/uVX/3MQaKqAAqAANDW79l1RYNq0aWnZsmUVV1tWRWDq1Klp6dKlVZZaQ6C2AgqAAlDbcNrYwAjkFwXKLw7kGDiB/KI/+cV/HASaLKAAKABNzq+9VxS49NJL0+OPP15xtWW7ErjkkkvSY489BolA4wUUAAWg8SE2QN8C3377bTrzzDPT6tWr+15sxf8UmDBhQnrxxRfTvvvuS4lA4wUUAAWg8SE2QDWBjz76KOVPYJ999lm1B1j1I4FDDjmkVaCOOOIIMgSKEFAAFIAigmyIagJr165N48ePr7bYqh8JrFmzJo0bN44KgWIEFAAFoJgwG6SawJIlS9K5555bbbFVLYFnn302TZ8+nQaBogQUAAWgqEAbpprAAw884BXsqlGl/IqKV199dcXVlhFojoACoAA0J612OqAC559/fnrmmWcG9Jylney8885LTz/9dGljmYdAS0ABUAD8VQgskN/MxpMCfzoA+Ul/3kwp8F+OAKMrAApAgJgbcVcCBxxwQPr6668h/YfA/vvvn7766ismBIoWUAAUgKIDbrhqAvmtg995551qiwtfddxxx7Xe4tdBoHQBBUABKD3j5qsokN80KL95UOQjv7lPfpMfB4EIAgqAAhAh52asKDBv3rw0d+7ciqvLWpbnnjNnTllDmYbALgQUAAXAXxACPxLIXwX4wx/+EOZ5Afn7/X/84x+9ta+/B+EEFAAFIFzoDdy3QH4+wJVXXln88wLy9/sfeuihlH91EIgmoAAoANEyb96KAvknA6677rpi30Uwv6vfvffem/JXABwEIgooAApAxNybeTcEVq1alR588MG0bNmy3XhUfZdOnTo1XXXVVWnixIn13aSdEWiDgAKgALQhZi5RgkB+bkD+cnlPT08jx+nu7m59WyM/099BgIBXAuwzAzt27OhzjQUEoghs3769VQLyVwSa8ip5+dUO87/48yf/IUOGRLlV5iTQp4CvAPgKQJ8hsYDAfwv09va2SkAuA9u2basl0NChQ1uf9PMn/66urlru0aYIdFJAAVAAOpk/1264wKZNm9Jrr72W3njjjbRixYr0/fffd3SivffeO02ePDmddNJJ6ZRTTkkjR47s6H5cnECdBRQABaDO+bS3Bgl8+eWX6W9/+1tavXp16wmD7foWQf4Sf35i34QJE9Kvf/3rdOCBBzZIzVYJdE5AAVAAOpc+Vy5aIH91YPny5a0ysG7dugGddezYsa1P+lOmTPGv/AGVdbJIAgqAAhAp72btkMDWrVtTft7AT31s3rz5h/+et5e/X58/RowY8cPvd/63nb8OGzasQ5O4LIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFncm2RQAAAp5SURBVFAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAD6uJebN29OXV1d5dxxkxAgQIBAeIHe3t40YsSIWjnslVLaUacdvfvuu2nUqFF12pK9ECBAgACBfgls3LgxHXvssf06x0A/uHYF4MUXX0zTpk0b6DmdjwABAgQIdExg6dKl6cwzz+zY9X/qwrUrAI888ki67LLLaoVkMwQIECBAoD8Cjz76aLr88sv7c4oBf2ztCsDcuXPTnDlzBnxQJyRAgAABAp0SmDdvXsqf3+p01K4A5H/9568COAgQIECAQCkC+V//+asAdTpqVwCmTp2a8vdKHAQIECBAoBSB/Ny2ZcuW1Wqc2hWAgw46KH3++ee1QrIZAgQIECDQH4GDDz44ffHFF/05xYA/tnYFIE+4Zs2aNG7cuAEf1gkJECBAgEC7BdauXZvGjx/f7sv2eb1aFoBZs2al+fPn97l5CwgQIECAQN0FZs+enRYsWFC7bdayABxzzDHp73//e+2wbIgAAQIECOyuwK9+9av03nvv7e7DBn19LQtAnjq/atLIkSMHHcAFCBAgQIDAYAls2rSptq9uW9sCcOedd6Ybb7xxsO6J8xIgQIAAgUEXuOuuu9JNN9006NfZkwvUtgBMnDgxrVy5ck9m8hgCBAgQIFALgUmTJqVVq1bVYi//vYnaFoC80Q0bNqTu7u5awtkUAQIECBDYlUBPT08aPXp0bZFqXQAuuuii9MQTT9QWz8YIECBAgMD/Erj44ovTwoULawtU6wKQ1d56661a/vxkbe+ojREgQIBAxwXy69mccMIJHd/HrjZQ+wIwY8aMtGjRoloj2hwBAgQIEPhPgZkzZ6bFixfXGqX2BSDrvfbaayk/kcJBgAABAgTqLpCfwH7KKafUfZupEQXgnHPOSUuWLKk9pg0SIECAAIHp06en5557rvYQjSgAWTG/i9IZZ5xRe1AbJECAAIG4Ai+99FLK72rbhKMxBWDMmDHplVdeSfvtt18TXO2RAAECBIIJfPPNN+m0005L69evb8TkjSkAWfPCCy+s9Y9UNOKO2yQBAgQIDIpA/tH1J598clDOPRgnbVQByAB33313uv766wfDwjkJECBAgMAeCdxzzz3phhtu2KPHdupBjSsAGer5559PZ511VqfMXJcAAQIECPwg8MILL6Szzz67cSKNLABZ+YMPPkhHHnlk48BtmAABAgTKEfjwww/TUUcd1ciBGlsAsvaOHTsaiW7TBAgQIFCGwF575U+jzTwaXQAy+RtvvJFOPPHEZurbNQECBAg0UuDNN99MJ510UiP3vnPTjS8AeZDbb7893XzzzY2+ETZPgAABAs0QuOOOO9Itt9zSjM3uYpdFFIA8n3cObHwWDUCAAIHaC9T9Hf52B7CYApCHzi/A8Oc//zkNHz58dwysJUCAAAECuxTYsmVL+t3vftd6QbpSjqIKQL4pI0eOTLfddpuXDS4loeYgQIBAhwXyy/veeuutadOmTR3eycBevrgCsJMnv4HQFVdc4V0EBzYvzkaAAIEwAvld/R5++OFGvLHPntyUYgvATowZM2a0isD48eP3xMdjCBAgQCCYwJo1a1qf+BcvXlz05MUXgJ13Lz9JMBeB7u7uom+o4QgQIEBgzwR6enpan/gXLly4Zydo2KPCFICd92Xy5Mnp1FNPTfnXo48+umG3y3YJECBAYCAF3n///bRixYr06quvtn6NdIQrAP95c0eNGtV63+Zp06al/HsHAQIECJQvsHHjxrR06dK0bNmylH8f9QhdAP7zpucfHcwloKurq/WR/5w/dv4+/+ogQIAAgfoL9Pb2pvxjezt/3fn7/Of8CT//2ZGSAiAFBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQIDA/wOR7n6mbrml6gAAAABJRU5ErkJggg==' +img1out = io.BytesIO(base64.b64decode(img1)) +image1 = pygame.image.load(img1out) +img2 = 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' +img2out = io.BytesIO(base64.b64decode(img2)) +image2 = pygame.image.load(img2out) +img3 = 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' +img3out = io.BytesIO(base64.b64decode(img3)) +image3 = pygame.image.load(img3out) +img4 = 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' +img4out = io.BytesIO(base64.b64decode(img4)) +image4 = pygame.image.load(img4out) +img5 = 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' +img5out = io.BytesIO(base64.b64decode(img5)) +image5 = pygame.image.load(img5out) +img6 = 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' +img6out = io.BytesIO(base64.b64decode(img6)) +image6 = pygame.image.load(img6out) +img7 = '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' +img7out = io.BytesIO(base64.b64decode(img7)) +image7 = pygame.image.load(img7out) + +dice_opts = [image1, image2, image3, image4, image5, image6] class Dice(object): def __init__(self): @@ -99,16 +124,31 @@ def __init__(self, number): def move(self): num = self.myDice.rollDice() oldPosition = self.position + #self.position = (self.position + num) % 40 + 1 self.position = (self.position + num) % 40 if self.position != 31: if self.position < oldPosition: self.money = self.money + 200 - + + #Show Dices + if self.myDice.dice1: + image1=dice_opts[self.myDice.dice1-1] + image1 = pygame.transform.scale(image1, (120 , 120)) + screen.blit(image1, (840, 650)) + if self.myDice.dice2: + image2 = dice_opts[self.myDice.dice2-1] + image2 = pygame.transform.scale(image2, (120 , 120)) + screen.blit(image2, (980, 650)) + + def paintPosition(self): #random.seed() #uncomment if bored or if you want to play hardmode #self.position = random.randint(1,40) #print("Number: " + str(self.number)) + + + if self.position == 1: a1 = pygame.draw.circle(screen, self.pawnColor, (720, 720 + self.number), 18, 0) if self.position == 2: @@ -703,7 +743,7 @@ def updateSideBar(): whiteOutButton = button(white, 752 , pixelcount, 448, 800, "") whiteOutButton.draw(screen) pixelcount = pixelcount + 40 - currentPlayer = button(white, 752 , pixelcount, 448, 15, "Player " + str(players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].number) + "\'s turn", 24) + currentPlayer = button(PLAYERCOLOR[players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].number-1], 752 , pixelcount, 448, 30, "Player " + str(players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].number) + "\'s turn", 24) currentPlayer.draw(screen) pixelcount = pixelcount + 40 currentBank = button(white, 752 , pixelcount, 448, 15, "Money: " + str(players[(theBoard.totalTurnsTaken % theBoard.numPlayers)].money), 24) diff --git a/dice.py b/dice.py new file mode 100644 index 0000000..f2f9ebe --- /dev/null +++ b/dice.py @@ -0,0 +1,69 @@ +import pygame +import random +import sys +import time +import io +import base64 + +pygame.init() +pygame.font.init() +mainClock = pygame.time.Clock() +pygame.display.set_caption("Dice App") +screen = pygame.display.set_mode((800, 600)) +font = pygame.font.SysFont("Sans", 30) +background_color = 'grey57' +#what we have here is just image strings in base64 +img1 = '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' +img1out = io.BytesIO(base64.b64decode(img1)) +image1 = pygame.image.load(img1out) +img2 = 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' +img2out = io.BytesIO(base64.b64decode(img2)) +image2 = pygame.image.load(img2out) +img3 = 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' +img3out = io.BytesIO(base64.b64decode(img3)) +image3 = pygame.image.load(img3out) +img4 = 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' +img4out = io.BytesIO(base64.b64decode(img4)) +image4 = pygame.image.load(img4out) +img5 = 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' +img5out = io.BytesIO(base64.b64decode(img5)) +image5 = pygame.image.load(img5out) +img6 = 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ZIY15gQAEJgDuGgDuu71s/gl069ZNjhw54n8izAAClyBAXuhpDY15gQAEJgBt27aVpqYmPV1teCbt2rWTjz/+2DABStdOgLzQs0Ia8wIBCEwArrvuOjl9+rSerjY8E41PaMPLQektECAv9LSFxrxAAAITAPc20rFjx/R0teGZdO3aVY4ePWqYAKVrJ0Be6FkhjXmBAAQmAP369ZPq6mo9XW14JiUlJbJz507DBChdOwHyQs8KacwLBCAwAbjnnntkzZo1erra8EzuvvtuWb16tWEClK6dAHmhZ4U05gUCEJgATJs2TRYsWKCnqw3P5JFHHpH58+cbJkDp2gmQF3pWSGNeIACBCcDSpUtl4sSJerra8EyWLFkiEyZMMEyA0rUTIC/0rJDGvEAAAhOAiooKKS8v19PVhmeybt06GTlypGEClK6dAHmhZ4U05gUCEJgA7N69W4qLi/V0teGZ1NTUSFFRkWEClK6dAHmhZ4U05gUCEJgAvPvuu9K5c2c9XW14Ju+88464S62yQUArAfJCz8pozAsEIDABOHfunFxzzTV6utrwTM6ePSvuSmtsENBKgLzQszIa8wIBCEwA3HR79eol+/fv19PZBmfSs2dP2bdvn8HKKTk0AuSF/xXTmhcIQIACMGvWLHn88cf9d7XhGcycOVPmzJljmAClh0KAvPC/UlrzAgEIUABqa2ulT58+/rva8Az27NkjhYWFhglQeigEyAv/K6U1LxCAAAXATTk3N1caGxv9d7bBGXTo0EEaGhoMVk7JoRIgL/ytnOa8QAACFQB3Wcm1a9f662rDI48ePZrLMRte/xBLJy/8rZrmvEAAAhWAVatWydixY/11teGRV65cKWPGjDFMgNJDI0Be+FsxzXmBAAQqAO7t/7y8PGlubvbX2QZHdk+YkydPintbjw0CoRAgL/yslPa8QAACFQA37f79+8uOHTv8dLbRUUtLS2X79u1Gq6fskAmQF9lfPe15gQAELADz5s2TGTNmZL+rDY84d+5cmT59umEClB4qAfIi+yunPS8QgIAFoL6+PvoqWlNTU/Y72+CIbdq0EfeVqvz8fIPVU3LoBMiL7K5gCHmBAAQsAG7q7h7TTz/9dHY72+hoU6dOlQULFhitnrLjQIC8yN4qhpAXCEDgAuC+j967d295//33s9fZBkfq2LGj7N27N7r+AhsEQiVAXmRn5ULJCwQgcAFw01+0aJFMmTIlO51tdJSFCxfK5MmTjVZP2XEiQF5kfjVDyQsEIAYCcP78+ehcgLq6usx3tsERCgoKos/+c3JyDFZPyXEjQF5kdkVDygsEIAYC4EpwVwV0V/tiSz+BNWvWiLuaFxsE4kKAvMjcSoaUFwhATATAlTFkyBCpqqrKXGcbPHJZWZls2rTJYOWUHHcC5EX6Vzi0vEAAYiQA7qJA7mIfbOkj4C764y7mwQaBuBEgL9K/oqHlBQIQIwFwpdx///2yYsWK9He2wSOOGzdOnn/+eYOVU7IVAuRF+lY6xLxAAGImAGfOnJGhQ4dKdXV1+jrb4JFKSkpk48aNcu211xqsnpKtECAv0rPSoeYFAhAzAXDlHD9+XFxDnjhxIj3dbewoN910UyRQXbp0MVY55VokQF60btVDzgsEIIYC4EravXu3FBcXt66zje5dU1MjRUVFRqunbIsEyIvUVz3kvEAAYioArqzKykoZMWJE6p1tcM/169fL8OHDDVZOydYJkBfJd0DoeYEAxFgAXGmLFy/mCnYJPq/dFdImTZqU4KN5GATiR4C8SHxN45AXCEDMBcCVV15eLhUVFYl3tsFHjhw5UtatW2ewckqGwGcJkBdX7oi45AUCYEAAXInu5hScFNjyYruTeLiZ0pVDj0fYIUBeXHqt45QXCIARAXBlXn/99fLRRx/ZSbEEKm3fvr2cOnUqgUfyEAjYIkBefH6945YXCIAhAXClulsH79u3z1aSXaLaXr16Rbf4ZYMABFomQF78h0sc8wIBMCYArlx30yB3MxDLm7u5j7tpBxsEIHB5AuSFRDcDi2NeIAAGBcCVPGfOHJk9e7bJ7HN1z5o1y2TtFA2BVAiQF/HMCwTAqAC4st27AA8//LCZ8wLc53fLli3j1r6pvAKwj3kC5EX8WgABMCwArnR3PsCECRNif16A+/xu6dKl4n6zQQACqREgL1LjpnUvBMC4ALjy3TcDpk2bFtu7CLq7dM2fP1/cOwBsEIBA6wiQF63jp2lvBAAB+JSAuz/4kiVLpKqqSlOPpjyXsrIymThxopSWlqZ8DHaEAARaJkBehN8ZCAAC8DkC7rM+93Z5XV1dkB1eUFAQfazhztxlgwAEMkuAvMgs30weHQFAAFokcP78+UgC3DsCoVwlz129zP2L37345+TkZPJ5w7EhAIGLCJAXYbYDAoAAXJZAQ0NDJAFOBpqamlR2eZs2baIXfffin5ubq3KOTAoCFgiQF2GtMgKAACTUsfX19bJt2zbZtWuXbN26VT755JOE9svUg66++moZOHCg9O3bVwYMGCD5+fmZGorjQgACSRIgL5IE5unhCAACkHTrffjhh/LWW29JdXV1dMJgtj4icG/xuxP7SkpK5NZbb5Ubb7wx6bmzAwQgkF0C5EV2eSczGgKAACTTLy0+1tn+li1bIhmora1t9fEuPkBhYWH0oj9o0CD+lZ9WshwMAn4IkBd+uLc0KgKAAKS1G8+dOyfuc8CWfk6ePPnp37tB3ef17icvL+/TP1/4uwu/27Ztm9b5cTAIQEAPAfLC71ogAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAACkNYOPHfunDQ0NLT4c/LkyU//3g2am5sb/eTl5X365wt/d+F327Zt0zo/DgYBCOghQF74XQsEAAFodQfW1tbKli1bop/9+/e3+ngXH6Bnz54yaNCg6KewsDCtx+ZgEIBA9gmQF9lnfqkREQAEIOlubGxslK1bt8r27dtl586d4v47G1uHDh2kX79+0r9/fxk4cKC4/2aDAAR0EyAv9K4PAoAAJNSd9fX10b/w3Qu++2lubk5ov0w9yDWukwH3494dyM/Pz9RQHBcCEEiSAHmRJDBPD0cAEIDLEnCf5y9ZskSWLl0qTU1Nntr08sO2adNGJkyYIBMnTozOJWCDAAT8ECAv/HBPdVQEAAFokcD58+ejF3334v/++++n2l9Z3a9jx46RBDgZyMnJyerYDAYBywTIizBXHwFAAD5HYO3atdGLf11dXZBdXVBQEEnA6NGjg5w/k4ZASATIi5BW67NzRQAQgE8J7NixI/oXf1VVVbgdfdHMy8rKoncESktLY1EPRUBAEwHyQtNqpDYXBAABkDNnzsikSZNkxYoVqXWR8r3GjRsnixcvlmuvvVb5TJkeBPQTIC/0r1GiM0QAjAvA8ePHZfz48VJdXZ1ozwT5uJKSEnnuueekS5cuQc6fSUNAAwHyQsMqpG8OCIBhAdi9e7eMGjVKTpw4kb6OUnykm266SV599VUpKipSPEumBgGdBMgLnevSmlkhAEYFoLKyUkaMGNGa3gl23/Xr18vw4cODnT8Th0C2CZAX8cwLBMCgALjPwydPnpztDFE13qJFi6LzHtggAIHLEyAvROKaFwiAMQEoLy+XiooKMk9ERo4cKevWrYMFBCBwCQLkxX/AxDEvEABDAuAulGPl8/5EE92dFxDKhY4SrYnHQSAdBMiLz1OMW14gAEYE4Prrr5ePPvooHbkQu2O0b99eTp06Fbu6KAgCqRIgLy5NLk55gQAYEIDevXvLvn37Us0CE/v16tVL9u7da6JWioTA5QiQF1fuj7jkBQIQcwG4++67xV2qk+3KBNylg9esWXPlB/IICMSUAHmR+MLGIS8QgBgLwJw5c2T27NmJdzSPjHjNmjULEhAwR4C8SH7JQ88LBCCmAuD+1e9sni15Au5dAG4klDw39giXAHmR+tqFnBcIQAwFwH3ef/vtt3PSX4rPaXeSzxtvvCHucz42CMSdAHnRuhUOOS8QgJgJgDvT3734c9Jf657U7sXfSYB7crNBIK4EyIv0rGyoeYEAxEwA7r///tje1S89T9XEj+LuIvj8888nvgOPhEBgBMiL9C1YiHmBAMRIANz9ufv375++juZIsn37diktLYUEBGJHgLxI/5KGlhcIQIwEYMiQIVJVVZX+rjZ8xLKyMtm0aZNhApQeVwLkRfpXNrS8QABiIgCcxZv+J/OFI4Z8lm/mqHDkkAmQF5lbvZDyAgGIgQCcP39eCgsLpa6uLnNdbfjIBQUFUltbKzk5OYYpUHpcCJAXmV3JkPICAYiBALhbVU6ZMiWzXW386AsXLjR/C2XjLRCb8smLzC9lKHmBAAQuAA0NDeKu3c0d7TL7pHZ3RnP3CsjNzc3sQBwdAhkkQF5kEO5Fhw4lLxCAwAXgkUcekaeffjo7XW18lKlTp8qCBQuMU6D8kAmQF9lbvRDyAgEIWADq6+ujz/6bmpqy19WGR2rTpk10LkB+fr5hCpQeKgHyIrsrF0JeIAABC8D8+fPl0UcfzW5XGx/tqaeekmnTphmnQPkhEiAvsr9q2vMCAQhYANwlfzdv3pz9rjY84uDBg6NLBLNBIDQC5EX2V0x7XiAAgQrAhx9+KF/72tfkk08+yX5XGx7x6quvlr/97W9y4403GqZA6aERIC/8rJj2vEAAAhWAiooKKS8v99PVxkddt26djBw50jgFyg+JAHnhb7U05wUCEKgAPPTQQ7J8+XJ/XW145AcffFCeeeYZwwQoPTQC5IW/FdOcFwhAoALwP//zP3z339Nz2n3H97333vM0OsNCIHkC5EXyzNK1h+a8QAACFAD3dZ4ePXqkqz85TgoEDh48yNcBU+DGLtknQF5kn/l/j6g1LxCAAAVg3rx5MmPGDP9dbXgGc+fOlenTpxsmQOmhECAv/K+U1rxAAAIUgD59+kQXpGHzR8BdgGnPnj3+JsDIEEiQAHmRIKgMPkxrXiAAgQnAuXPn5Jprrslgq3LoRAmcPXtW2rZtm+jDeRwEsk6AvMg68ksOqDEvEIDABODdd9+Vzp076+lqwzN55513pFOnToYJULp2AuSFnhXSmBcIQGACsHv3bikuLtbT1YZnUlNTI0VFRYYJULp2AuSFnhXSmBcIQGACwAU99DyhNV/gQw8lZuKTAHnhk/5nx9aYFwhAYAKwdOlSmThxop6uNjyTJUuWyIQJEwwToHTtBMgLPSukMS8QgMAEwN2JjnvS63hSu3uruzussUFAKwHyQs/KaMwLBCAwAbjnnntkzZo1erra8EzuvvtuWb16tWEClK6dAHmhZ4U05pcwQT4AACAASURBVAUCEJgA9OvXT6qrq/V0teGZlJSUyM6dOw0ToHTtBMgLPSukMS8QgMAEoFu3bnLs2DE9XW14Jl27dpWjR48aJkDp2gmQF3pWSGNeIACBCcB1110np0+f1tPVhmfSrl07+fjjjw0ToHTtBMgLPSukMS8QAARAzzMksJlofEIHhpDpZpgAApBhwEkcXmNeIACBCQBv6SXxjMvwQzW+pZfhkjl8YATICz0LpjEvEIDABICTevQ8oTWe1KOHDjPRQIC80LAK/56DxrxAAAITAL7Wo+cJrfFrPXroMBMNBMgLDavw7zlozAsEIDAB4MIeep7QGi/soYcOM9FAgLzQsAr/noPGvEAAAhMALu2p5wmt8dKeeugwEw0EyAsNq/DvOWjMCwQgMAHg5h56ntAab+6hhw4z0UCAvNCwCv+eg8a8QAACEwBu76nnCa3x9p566DATDQTICw2r8O85aMwLBCAwAXj33Xelc+fOerra8Ezeeecd6dSpk2EClK6dAHmhZ4U05gUCEJgAnDt3Tq655ho9XW14JmfPnpW2bdsaJkDp2gmQF3pWSGNeIACBCYCbbq9evWT//v16OtvgTHr27Cn79u0zWDklh0aAvPC/YlrzAgEIUABmzZoljz/+uP+uNjyDmTNnypw5cwwToPRQCJAX/ldKa14gAAEKQG1trfTp08d/VxuewZ49e6SwsNAwAUoPhQB54X+ltOYFAhCgALgp5+bmSmNjo//ONjiDDh06SENDg8HKKTlUAuSFv5XTnBcIQKAC4C4ruXbtWn9dbXjk0aNHy5o1awwToPTQCJAX/lZMc14gAIEKwKpVq2Ts2LH+utrwyCtXrpQxY8YYJkDpoREgL/ytmOa8QAACFQD39n9eXp40Nzf762yDI7snzMmTJ8W9rccGgVAIkBd+Vkp7XiAAgQqAm3b//v1lx44dfjrb6KilpaWyfft2o9VTdsgEyIvsr572vEAAAhaAefPmyYwZM7Lf1YZHnDt3rkyfPt0wAUoPlQB5kf2V054XCEDAAlBfXx99Fa2pqSn7nW1wxDZt2oj7SlV+fr7B6ik5dALkRXZXMIS8QAACFgA3dXeP6aeffjq7nW10tKlTp8qCBQuMVk/ZcSBAXmRvFUPICwQgcAFw30fv3bu3vP/++9nrbIMjdezYUfbu3Rtdf4ENAqESIC+ys3Kh5AUCELgAuOkvWrRIpkyZkp3ONjrKwoULZfLkyUarp+w4ESAvMr+aoeQFAhADATh//nx0LkBdXV3mO9vgCAUFBdFn/zk5OQarp+S4ESAvMruiIeUFAhADAXAluKsCuqt9saWfgLvqn7uaFxsE4kKAvMjcSoaUFwhATATAlTFkyBCpqqrKXGcbPHJZWZls2rTJYOWUHHcC5EX6Vzi0vEAAYiQA7qJA7mIfbOkj4C764y7mwQaBuBEgL9K/oqHlBQIQIwFwpdx///2yYsWK9He2wSOOGzdOnn/+eYOVU7IVAuRF+lY6xLxAAGImAGfOnJGhQ4dKdXV1+jrb4JFKSkpk48aNcu211xqsnpKtECAv0rPSoeYFAhAzAXDlHD9+XFxDnjhxIj3dbewoN910UyRQXbp0MVY55VokQF60btVDzgsEIIYC4EravXu3FBcXt66zje5dU1MjRUVFRqunbIsEyIvUVz3kvEAAYioArqzKykoZMWJE6p1tcM/169fL8OHDDVZOydYJkBfJd0DoeYEAxFgAXGmLFy/mCnYJPq/dFdImTZqU4KN5GATiR4C8SHxN45AXCEDMBcCVV15eLhUVFYl3tsFHjhw5UtatW2ewckqGwGcJkBdX7oi45AUCYEAAXInu5hScFNjyYruTeLiZ0pVDj0fYIUBeXHqt45QXCIARAXBlXn/99fLRRx/ZSbEEKm3fvr2cOnUqgUfyEAjYIkBefH6945YXCIAhAXClulsH79u3z1aSXaLaXr16Rbf4ZYMABFomQF78h0sc8wIBMCYArlx30yB3MxDLm7u5j7tpBxsEIHB5AuSFRDcDi2NeIAAGBcCVPGfOHJk9e7bJ7HN1z5o1y2TtFA2BVAiQF/HMCwTAqAC4st27AA8//LCZ8wLc53fLli3j1r6pvAKwj3kC5EX8WgABMCwArnR3PsCECRNif16A+/xu6dKl4n6zQQACqREgL1LjpnUvBMC4ALjy3TcDpk2bFtu7CLq7dM2fP1/cOwBsEIBA6wiQF63jp2lvBAAB+JSAuz/4kiVLpKqqSlOPpjyXsrIymThxopSWlqZ8DHaEAARaJkBehN8ZCAAC8DkC7rM+93Z5XV1dkB1eUFAQfazhztxlgwAEMkuAvMgs30weHQFAAFokcP78+UgC3DsCoVwlz129zP2L37345+TkZPJ5w7EhAIGLCJAXYbYDAoAAXJZAQ0NDJAFOBpqamlR2eZs2baIXfffin5ubq3KOTAoCFgiQF2GtMgKAACTUsfX19bJt2zbZtWuXbN26VT755JOE9svUg66++moZOHCg9O3bVwYMGCD5+fmZGorjQgACSRIgL5IE5unhCAACkHTrffjhh/LWW29JdXV1dMJgtj4icG/xuxP7SkpK5NZbb5Ubb7wx6bmzAwQgkF0C5EV2eSczGgKAACTTLy0+1tn+li1bIhmora1t9fEuPkBhYWH0oj9o0CD+lZ9WshwMAn4IkBd+uLc0KgKAAKS1G8+dOyfuc8CWfk6ePPnp37tB3ef17icvL+/TP1/4uwu/27Ztm9b5cTAIQEAPAfLC71ogAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAAC4LcDGR0CEIAABLwQQAAQAC+Nx6AQgAAEIOCXAAKAAPjtQEaHAAQgAAEvBBAABMBL4zEoBCAAAQj4JYAAIAB+O5DRIQABCEDACwEEAAHw0ngMCgEIQAACfgkgAAiA3w5kdAhAAAIQ8EIAAUAAvDQeg0IAAhCAgF8CCAACkNYOPH36tBw8eFAaGxuloaHhM7/d/7vwc+bMmejPnTt3lk6dOrX4+4Ybbkjr3DgYBCCgiwB54Xc9EAAEoFUduH//fnE/7kXf/Rw6dKhVx7t453bt2kViUFhYKMOGDZPbbrstbcfmQBCAQPYJkBfZZ365EREABCDpjvzrX/8qr732mrz++utSXV2d9P6p7tC+fXsZPHiw3HHHHZEQ5OTkpHoo9oMABLJEgLzIEugUhkEAEICE26ayslLWr18fvfifPXs24f0y8cALMuCE4Pbbb5cvf/nLmRiGY0IAAikSIC9SBJfF3RAABOCyBE6cOCGvvvqqvPLKK1JfX5/F1kx8KCcDo0aNksmTJ8vNN9+c+I48EgIQSCsB8iKtODN+MAQAAWiRwJEjR+QXv/hF9OL/j3/8I+ONmI4BvvKVr0QS4H6+8IUvpOOQHAMCEEiAAHmRACSFD0EAEIDPEGhqapKf//zn0U8oL/z/vYS33HJLJAE/+MEPFD7lmBIE4kOAvAh7LREABOBTAr/+9a+jF/4DBw6E3dX/P/s777wzEoGioqJY1EMRENBEgLzQtBqpzQUBQADk5MmTMnPmTHnxxRdT6yLle02cODESgY4dOyqfKdODgH4C5IX+NUp0hgiAcQFYt25d9OJ/7NixRHsmyMd17do1Epw+ffoEOX8mDQENBMgLDauQvjkgAIYFYMKECbJs2bL0dZPyI33xi18U97ZlWVmZ8pkyPQjoI0Be6FuT1s4IATAqAOXl5VJRUdHa/gly/5deeknuvffeIOfOpCHggwB5Ec+8QAAMCoC7cM7mzZt95IiaMRcvXizu3AA2CEDg8gTIC5G45gUCYEwAvv71r8vx48fJPBEZM2aMrFy5EhYQgMAlCJAX/wETx7xAAIwIwL/+9S9xn4GzfZbAd77zHfnDH/4AFghA4CIC5EXL7RC3vEAADAiAuy2vOwve3YKXrWUCzc3NoIEABESi23iTF5dvhbjkBQIQcwE4fPhwdBvdxsZGwu0yBLp06SJ/+tOfYAQB0wTIi8SWPy55gQDEWADck9ldDY8XtsSe1O7Ogm+88UZiD+ZREIgZAfIiuQWNQ14gADEWgIEDB8qbb76ZXFcbf/SPf/xjU9dGML7clH8RAfIi+XYIPS8QgJgKwNSpU6Pr+rMlT8BdHMk9sdkgYIUAeZH6SoecFwhADAVg9erVXOgm9edztKf7KMC9xccGgbgTIC9av8Kh5gUCEDMB+OMf/xid9PfBBx+0vqsNH8Gd5OMuluR+s0EgrgTIi/SsbKh5gQDETACGDx8uGzZsSE9XGz9KHE7yMb6ElH8FAuRF+lokxLxAAGIkAMuXL5eHHnoofR3NkeTZZ5+V8ePHQwICsSNAXqR/SUPLCwQgJgLgvurXt29fvu+f5ud0jx495MCBA2k+KoeDgF8C5EVm+IeWFwhATATA3d3OnczDln4CoVl9+glwxLgRIC8yt6Ih5QUCEAMBcN/1d9/hZcsMgdCsPjMUOGpcCJAXmV3JkPICAYiBAGDzmX1Cu6OHZPWZp8EIIRMgLzK/eqHkBQIQuAC4r/F8+9vfznxHGx8hJKs3vlSUfxkC5EV22iOUvEAAAhcAruCVnSc07wJkjzMjZY4AeZE5tv995BDeBUAAAhaAv//979K9e3cu+pOl53QoVp8lHAwTGAHyIrsLFkJeIAABC8ALL7wg48aNy25XGx/tlVdekVGjRhmnQPkhEiAvsr9q2vMCAQhYAIYMGSJVVVXZ72rDIz7wwAPyq1/9yjABSg+VAHmR/ZXTnhcIQKAC8Pbbb0dv/7Nll8DNN98sx48fz+6gjAaBVhIgL1oJMMXdtecFAhCoAMybN09mzJiRYluyW2sI1NTUSFFRUWsOwb4QyCoB8iKruD8zmOa8QAACFYA+ffpIbW2tv642PPITTzyBfBle/xBLJy/8rZrmvEAAAhSAEydOSMeOHf11tPGRCwsLZc+ePcYpUH4oBMgLvyulOS8QgAAFoKKiQsrLy/12tfHR33vvPSTMeA+EUj554X+ltOYFAhCgAPzoRz+SZ555xn9XG57BihUr5L777jNMgNJDIUBe+F8prXmBAAQoAF26dJE///nP/rva8AyGDh0qr7/+umEClB4KAfLC/0ppzQsEIDABOHXqlNxwww3+O5oZSHNzMxQgoJoAeaFneTTmBQIQmAC4M//dGb1s/gm4k6vy8vL8T4QZQOASBMgLPa2hMS8QgMAEYNWqVTJ27Fg9XW14Jvv27ZOePXsaJkDp2gmQF3pWSGNeIACBCcD06dPlySef1NPVhmeyYcMGGTZsmGEClK6dAHmhZ4U05gUCEJgAjBgxQiorK/V0teGZ/PKXvxR3hjUbBLQSIC/0rIzGvEAAAhMAruil5wn92GOPibvEKhsEtBIgL/SsjMa8QAACE4BvfetbcujQIT1dbXgm9957r7z00kuGCVC6dgLkhZ4V0pgXCEBgAtCpUyf5y1/+oqerDc+ktLRUtm/fbpgApWsnQF7oWSGNeYEABCYA7hoA7ru9bP4JdOvWTY4cOeJ/IswAApcgQF7oaQ2NeYEABCYAbdu2laamJj1dbXgm7dq1k48//tgwAUrXToC80LNCGvMCAQhMAK677jo5ffq0nq42PBONT2jDy0HpLRAgL/S0hca8QAACEwD3NtKxY8f0dLXhmXTt2lWOHj1qmAClaydAXuhZIY15gQAEJgD9+vWT6upqPV1teCYlJSWyc+dOwwQoXTsB8kLPCmnMCwQgMAG45557ZM2aNXq62vBM7r77blm9erVhApSunQB5oWeFNOYFAhCYAEybNk0WLFigp6sNz+SRRx6R+fPnGyZA6doJkBd6VkhjXiAAgQnA0qVLZeLEiXq62vBMlixZIhMmTDBMgNK1EyAv9KyQxrxAAAITgIqKCikvL9fT1YZnsm7dOhk5cqRhApSunQB5oWeFNOYFAhCYAOzevVuKi4v1dLXhmdTU1EhRUZFhApSunQB5oWeFNOYFAhCYALz77rvSuXNnPV1teCbvvPOOuEutskFAKwHyQs/KaMwLBCAwATh37pxcc801erra8EzOnj0r7kprbBDQSoC80LMyGvMCAQhMANx0e/XqJfv379fT2QZn0rNnT9m3b5/Byik5NALkhf8V05oXCECAAjBr1ix5/PHH/Xe14RnMnDlT5syZY5gApYdCgLzwv1Ja8wIBCFAAamtrpU+fPv672vAM9uzZI4WFhYYJUHooBMgL/yulNS8QgAAFwE05NzdXGhsb/Xe2wRl06NBBGhoaDFZOyaESIC/8rZzmvEAAAhUAd1nJtWvX+utqwyOPHj2ayzEbXv8QSycv/K2a5rxAAAIVgFWrVsnYsWP9dbXhkVeuXCljxowxTIDSQyNAXvhbMc15gQAEKgDu7f+8vDxpbm7219kGR3ZPmJMnT4p7W48NAqEQIC/8rJT2vEAAAhUAN+3+/fvLjh07/HS20VFLS0tl+/btRqun7JAJkBfZXz3teYEABCwA8+bNkxkzZmS/qw2POHfuXJk+fbphApQeKgHyIvsrpz0vEICABaC+vj76KlpTU1P2O9vgiG3atBH3lar8/HyD1VNy6ATIi+yuYAh5gQAELABu6u4e008//XR2O9voaFOnTpUFCxYYrZ6y40CAvMjeKoaQFwhA4ALgvo/eu3dvef/997PX2QZH6tixo+zduze6/gIbBEIlQF5kZ+VCyQsEIHABcNNftGiRTJkyJTudbXSUhQsXyuTJk41WT9lxIkBeZH41Q8kLBCAGAnD+/PnoXIC6urrMd7bBEQoKCqLP/nNycgxWT8lxI0BeZHZFQ8oLBCAGAuBKcFcFdFf7Yks/gTVr1oi7mhcbBOJCgLzI3EqGlBcIQEwEwJUxZMgQqaqqylxnGzxyWVmZbNq0yWDllBx3AuRF+lc4tLxAAGIkAO6iQO5iH2zpI+Au+uMu5sEGgbgRIC/Sv6Kh5QUCECMBcKXcf//9smLFivR3tsEjjhs3Tp5//nmDlVOyFQLkRfpWOsS8QABiJgBnzpyRoUOHSnV1dfo62+CRSkpKZOPGjXLttdcarJ6SrRAgL9Kz0qHmBQIQMwFw5Rw/flxcQ544cSI93W3sKDfddFMkUF26dDFWOeVaJEBetG7VQ84LBCCGAuBK2r17txQXF7eus43uXVNTI0VFRUarp2yLBMiL1Fc95LxAAGIqAK6syspKGTFiROqdbXDP9evXy/Dhww1WTsnWCZAXyXdA6HmBAMRYAFxpixcv5gp2CT6v3RXSJk2alOCjeRgE4keAvEh8TeOQFwhAzAXAlVdeXi4VFRWJd7bBR44cOVLWrVtnsHJKhsBnCZAXV+6IuOQFAmBAAFyJ7uYUnBTY8mK7k3i4mdKVQ49H2CFAXlx6reOUFwiAEQFwZV5//fXy0Ucf2UmxBCpt3769nDp1KoFH8hAI2CJAXnx+veOWFwiAIQFwpbpbB+/bt89Wkl2i2l69ekW3+GWDAARaJkBe/IdLHPMCATAmAK5cd9MgdzMQy5u7uY+7aQcbBCBweQLkhUQ3A4tjXiAABgXAlTxnzhyZPXu2yexzdc+aNctk7RQNgVQIkBfxzAsEwKgAuLLduwAPP/ywmfMC3Od3y5Yt49a+qbwCsI95AuRF/FoAATAsAK50dz7AhAkTYn9egPv8bunSpeJ+s0EAAqkRIC9S46Z1LwTAuAC48t03A6ZNmxbbuwi6u3TNnz9f3DsAbBCAQOsIkBet46dpbwQAAfiUgLs/+JIlS6SqqkpTj6Y8l7KyMpk4caKUlpamfAx2hAAEWiZAXoTfGQgAAvA5Au6zPvd2eV1dXZAdXlBQEH2s4c7cZYMABDJLgLzILN9MHh0BQABaJHD+/PlIAtw7AqFcJc9dvcz9i9+9+Ofk5GTyecOxIQCBiwiQF2G2AwKAAFyWQENDQyQBTgaamppUdnmbNm2iF3334p+bm6tyjkwKAhYIkBdhrTICgAAk1LH19fWybds22bVrl2zdulU++eSThPbL1IOuvvpqGThwoPTt21cGDBgg+fn5mRqK40IAAkkSIC+SBObp4QgAApB063344Yfy1ltvSXV1dXTCYLY+InBv8bsT+0pKSuTWW2+VG2+8Mem5swMEIJBdAuRFdnknMxoCcAVaJ0+e5G3lKzBytr9ly5ZIBmpra5Ppvys+trCwMHrRHzRoEP/KvyItHgAB/QTICx1r5D6uycvL0zGZ/5/FVSLSrGlGBw4ckB49emiakuq5nDt3TlxjtfTjZOrC37si3Of17sc14YU///fvtm3bqq6XyUEAAqkTIC9SZ9faPQ8ePCi33HJLaw+T1v3VCcDGjRtlyJAhaS2Sg0EAAhCAAAR8Eti0aZMMHTrU5xQ+N7Y6AXj22Wdl/PjxqiAxGQhAAAIQgEBrCDz33HPywAMPtOYQad9XnQBw57i0rzEHhAAEIAABzwQ03uFRnQC4f/27dwHYIAABCEAAAnEh4P71794F0LSpEwB3Brr7rIQNAhCAAAQgEBcC7tw2bfd9UScAX/3qV+Vvf/tbXNacOiAAAQhAAALyta99TT744ANVJNQJgKNTU1MjRUVFqkAxGQhAAAIQgEAqBHbv3i3FxcWp7JrRfVQKwOTJk2XhwoUZLZyDQwACEIAABLJBYMqUKbJo0aJsDJXUGCoFoHv37nLo0KGkCuHBEIAABCAAAY0E/vd//1cOHz6sbmoqBcBRcldN4oYz6vqFCUEAAhCAQBIE3KWYtV7dVq0AzJ07V6ZPn54EZh4KAQhAAAIQ0EVg3rx5MmPGDF2T+v/ZqBWA0tJS2b59u0poTAoCEIAABCCQCIH+/fvLjh07Enlo1h+jVgAcif3790tBQUHWoTAgBCAAAQhAoLUE6urqpGfPnq09TMb2Vy0AY8eOlRdffDFjxXNgCEAAAhCAQKYI/PCHP5SVK1dm6vCtPq5qAXDV/f73v1f5/clWk+cAEIAABCAQWwLuejbf/e53VdenXgDuuusuWbt2rWqITA4CEIAABCBwMYHRo0fLyy+/rBqKegFw9LZt2ybuRAo2CEAAAhCAgHYC7gT2AQMGaJ+mBCEAd955p1RWVqqHyQQhAAEIQAACw4cPlw0bNqgHEYQAOIruLkrf//731QNlghCAAAQgYJfAb3/7W3F3tQ1hC0YAevfuLZs3b5YvfelLIXBljhCAAAQgYIzAP//5Txk8eLDs3bs3iMqDEQBHc8yYMaq/UhHEijNJCEAAAhDICAH31fVVq1Zl5NiZOGhQAuAAPPnkk/Loo49mggXHhAAEIAABCKRE4KmnnpLHHnsspX197RScADhQv/nNb+SOO+7wxYxxIQABCEAAAp8SeO2112TYsGHBEQlSABzlI0eOSLdu3YIDzoQhAAEIQCA+BI4ePSrf+MY3giwoWAFwtJubm4OEzqQhAAEIQCAeBK66yr2MhrkFLQAO+a5du+R73/temPSZNQQgAAEIBEngd7/7nfTt2zfIuV+YdPAC4Ar52c9+Jj/5yU+CXggmDwEIQAACYRB44okn5Kc//WkYk73MLGMhAK4+7hwYfC9SAAQgAAH1BLTf4S8ZgLERAFe0uwDDCy+8IB06dEiGAY+FAAQgAAEIXJZAY2Oj3HfffdEF6eKyxUoA3KLk5+fL448/zmWD49Kh1AEBCEDAMwF3ed+ZM2dKfX2955mkd/jYCcAFPO4GQg8++CB3EUxvv3A0CEAAAmYIuLv6LV++PIgb+6SyKLEVgAsw7rrrrkgEiouLU+HDPhCAAAQgYIxATU1N9ML/8ssvx7ry2AvAhdVzJwk6ESgoKIj1glIcBCAAAQikRqCuri564V+5cmVqBwhsLzMCcGFdBg4cKLfddpu439/85jcDWy6mCwEIQAAC6STw9ttvy9atW+XNN9+MflvazAnAxYvbo0eP6L7NQ4YMEfdnNghAAAIQiD+BgwcPyqZNm6Sqqkrcn61upgXg4kV3Xx10EpCbmxv9uP92Pxf+7H6zQQACEICAfgINDQ3ivrZ34feFP7v/di/47r/ZRBAAugACEIAABCBgkAACYHDRKRkCEIAABCCAANADEIAABCAAAYMEEACDi07JEIAABCAAAQSAHoAABCAAAQgYJIAAGFx0SoYABCAAAQggAPQABCAAAQhAwCABBMDgolMyBCAAAQhAAAGgByAAAQhAAAIGCSAABhedkiEAAQhAAAIIAD0AAQhAAAIQMEgAATC46JQMAQhAAAIQQADoAQhAAAIQgIBBAgiAwUWnZAhAAAIQgAACQA9AAAIQgAAEDBJAAAwuOiVDAAIQgAAEEAB6AAIQgAAEIGCQAAJgcNEpGQIQgAAEIIAA0AMQgAAEIAABgwQQAIOLTskQgAAEIAABBIAegAAEIAABCBgkgAAYXHRKhgAEIAABCCAA9AAEIAABCEDAIAEEwOCiUzIEIAABCEAAAaAHIAABCEAAAgYJIAAGF52SIQABCEAAAggAPQABCEAAAhAwSAABspy5PAAAAHdJREFUMLjolAwBCEAAAhBAAOgBCEAAAhCAgEECCIDBRadkCEAAAhCAAAJAD0AAAhCAAAQMEkAADC46JUMAAhCAAAQQAHoAAhCAAAQgYJAAAmBw0SkZAhCAAAQggADQAxCAAAQgAAGDBBAAg4tOyRCAAAQgAIH/A0MP5Ycz8g/MAAAAAElFTkSuQmCC' +img6out = io.BytesIO(base64.b64decode(img6)) +image6 = pygame.image.load(img6out) +img7 = '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' +img7out = io.BytesIO(base64.b64decode(img7)) +image7 = pygame.image.load(img7out) + +dice_opts = [image6, image5, image4, image3, image2, image1] + + +def roll(): + dice = random.choice(dice_opts) + return dice + + +def app_screen(): + screen.fill(background_color) + screen.blit(image7, (610, 100)) + + run = True + while run: + time_end = time.time() + 60 * 0.015 + for event in pygame.event.get(): + if event.type == pygame.QUIT: + sys.exit() + if event.type == pygame.KEYDOWN: + if event.key == pygame.K_ESCAPE: + sys.exit() + if event.key == pygame.K_SPACE: + while time.time() < time_end: + dice = roll() + screen.blit(dice, (50, 50)) + pygame.display.update() + + pygame.display.update() + mainClock.tick(60) + + +app_screen() From 285253687508fd5f967f824e37393cec0ddde09f Mon Sep 17 00:00:00 2001 From: Guido Schratzer Date: Tue, 31 Jan 2023 16:27:54 +0200 Subject: [PATCH 7/7] delete from dice.py which not used anymore --- dice.py | 69 --------------------------------------------------------- 1 file changed, 69 deletions(-) delete mode 100644 dice.py diff --git a/dice.py b/dice.py deleted file mode 100644 index f2f9ebe..0000000 --- a/dice.py +++ /dev/null @@ -1,69 +0,0 @@ -import pygame -import random -import sys -import time -import io -import base64 - -pygame.init() -pygame.font.init() -mainClock = pygame.time.Clock() -pygame.display.set_caption("Dice App") -screen = pygame.display.set_mode((800, 600)) -font = pygame.font.SysFont("Sans", 30) -background_color = 'grey57' -#what we have here is just image strings in base64 -img1 = 'iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAYAAAD0eNT6AAAgAElEQVR4Xu3dW4xV5fk/8FdJwAvbGI1RBm2iMalGewMOgqAWQUEFo6KmAZuo9RB7URXi+QB4PgTUXtR4qJhUSKOiRlBBQaqCICPcVKNNjCZVBo3RmNYLIUH+eXd+mNq/ZRbMzN5rvc9nJRPAvnut9/msL50vM3v23iultCM5CBAgQIAAgVACeykAoe63YQkQIECAQEtAARAEAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBQAGSBAgAABAgEFFICAN93IBAgQIEBAAZABAgQIECAQUEABCHjTjUyAAAECBBSA/8vAQQcdlLq7u1NXV1frY/jw4a2Pnb/PvzoIECBAoP4Cvb29acuWLWnnrzt/n//c09OTvvjii/oP0YYdhi4AxxxzTDr11FPTOeeck8aNG9cGbpcgQIAAgU4LrF27Nj333HPp1VdfTe+9916nt9Ox64crABMnTkwnn3xymjJlSho5cmTH4F2YAAECBDovsGnTprR8+fL0+uuvp1WrVnV+Q23cQZgCcNFFF6Urrrii9WV+BwECBAgQ+G+B/O2Bhx9+OC1cuDAETvEFYMaMGa1P/OPHjw9xQw1JgAABAv0TWLNmTasILF68uH8nqvmjiy0A+fv6+RP/pEmTan4LbI8AAQIE6iiwcuXKVhHIzxco8SiuAIwZMybdfPPN6YwzzijxfpmJAAECBNos8NJLL6U77rgjrV+/vs1XHtzLFVUALrzwwvTAAw+k/fbbb3DVnJ0AAQIEQgl888036eqrr05PPvlkMXMXUwDuvvvudP311xdzYwxCgAABAvUTuOeee9INN9xQv43twY6KKADPP/98Ouuss/ZgfA8hQIAAAQK7J/DCCy+ks88+e/ceVMPVjS8AH3zwQTryyCNrSGtLBAgQIFCqwIcffpiOOuqoRo/X6AKwY8eORuPbPAECBAg0W2CvvfKn0WYejS0Ab7zxRjrxxBObqW7XBAgQIFCEwJtvvplOOumkRs7SyAJw++23t37Uz0GAAAECBDotkH9E8JZbbun0Nnb7+o0rAPklfZ944ondHtQDCBAgQIDAYAlcfPHFjXsJ4UYVgNNOOy29/PLLg3X/nJcAAQIECOyxwOmnn55eeeWVPX58ux/YmAKQ37lv2bJlafjw4e02cj0CBAgQINCnwJYtW9LUqVNTfofBJhyNKQD5k7+X921CpOyRAAECcQXyywbnEtCEoxEFIL+xz5IlS5rgaY8ECBAgEFxg+vTpjXgDoUYUgNdee827+gX/C2V8AgQINEUgv4vgKaecUvvt1r4AzJgxIy1atKj2kDZIgAABAgR2CsycOTMtXry41iC1LwBvvfVWGj9+fK0RbY4AAQIECPynwJo1a9IJJ5xQa5RaFwA/81/r7NgcAQIECOxCoO6vDVDrArBhw4bU3d0tYAQIECBAoHECPT09afTo0bXdd20LwOTJk9Py5ctrC2djBAgQIECgL4EpU6akFStW9LWsI/97bQvA/Pnz06xZszqC4qIECBAgQGAgBBYsWJBmz549EKca8HPUtgC899576eijjx7wgZ2QAAECBAi0S+D9999PxxxzTLsut1vXqWUBGDVqVHr33Xd3axCLCRAgQIBAHQWOPfbYtHHjxtptrZYFYM6cOWnu3Lm1w7IhAgQIECCwuwL589m8efN292GDvr6WBSD/6z9/FcBBgAABAgSaLpD/9Z+/ClC3o3YFIL/bX29vb92c7IcAAQIECOyxQFdXV8rvFlino3YFIL+L0tKlS+tkZC8ECBAgQKBfAtOmTWu9pX2djtoVgMsuuyw98sgjdTKyFwIECBAg0C+Byy+/PD366KP9OsdAP7h2BSA/WSI/CdBBgAABAgRKEchPAqzbk9trVwDyv/7zVwEcBAgQIECgFIH8r//8VYA6HbUrAC+++GLK3ytxECBAgACBUgTyc9vOPPPMWo1TuwLgRwBrlQ+bIUCAAIEBEKjjjwLWrgBs3rw55R+XcBAgQIAAgVIE8o+3jxgxolbj1K4A7Nixo1ZANkOAAAECBAZCYK+98qfc+hwKQH3uhZ0QIECAQMECCkAfN9dXAApOv9EIECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb3ICBAgEFlAAFIDA8Tc6AQIE4gooAApA3PSbnAABAoEFFAAFIHD8jU6AAIG4AgqAAhA3/SYnQIBAYAEFQAEIHH+jEyBAIK6AAqAAxE2/yQkQIBBYQAFQAALH3+gECBCIK6AAKABx029yAgQIBBZQABSAwPE3OgECBOIKKAAKQNz0m5wAAQKBBRQABSBw/I1OgACBuAIKgAIQN/0mJ0CAQGABBUABCBx/oxMgQCCugAKgAMRNv8kJECAQWEABUAACx9/oBAgQiCugACgAcdNvcgIECAQWUAAUgMDxNzoBAgTiCigACkDc9JucAAECgQUUAAUgcPyNToAAgbgCCoACEDf9JidAgEBgAQVAAQgcf6MTIEAgroACoADETb/JCRAgEFhAAVAAAsff6AQIEIgroAAoAHHTb/K2CWzdujX19vb+5MfmzZt/+O95Q11dXa2PESNG/PD7nf9t56/Dhg1r295diECpAgqAAlBqts3VYYF169al5cuXtz42bNgwoLsZPXp0mjJlSutj7NixA3puJyMQRUABUACiZN2cgyywZcuWtGLFirRy5cr0+uuvp/zndhzDhw9PJ598cpo0aVKaPHlyyn92ECDQt4ACoAD0nRIrCPwPgU2bNrX+hZ8/4eePHTt2dNQq/x9aLgP5I391YOTIkR3dj4sTqLOAAqAA1Dmf9lZTgfz9/AcffDA99NBDadu2bbXc5dChQ9OVV16ZrrrqqtZzCRwECPxYQAFQAPydIFBZYPv27a1P+vmT/6efflr5cZ1ceOihh7ZKQC4DQ4YM6eRWXJtArQQUAAWgVoG0mfoKLFq0qPXJv6enp76b3MXOuru7WyVg5syZjdy/TRMYaAEFQAEY6Ew5X2ECq1atav2Lf9myZUVMNnXq1NZXBCZOnFjEPIYgsKcCCoACsKfZ8bjCBb799tt09dVXp8cff7zISS+55JL0wAMPpH333bfI+QxFoC8BBUAB6Csj/veAAh999FG67LLL0urVq4uefsKECenRRx9NRxxxRNFzGo7ATwkoAAqAvxkEfiSwdu3a9Jvf/CZ99tlnIWQOOeSQ9Ne//jWNGzcuxLyGJLBTQAFQAPxtIPCDwJIlS9K5554bUuTZZ59N06dPDzm7oWMKKAAKQMzkm/r/E8jfD581a1ZomQULFrSe9+AgEEFAAVAAIuTcjH0InH/++emZZ57hlFI677zz0tNPP82CQPECCoACUHzIDbhrgfxCOVG+3181C/l5AU15oaOqM1lH4L8FFAAFwN+KwAIHHHBA+vrrrwML/O/R999///TVV1+xIVCsgAKgABQbboPtWmDMmDHpnXfewbQLgeOOOy6tX7+eEYEiBRQABaDIYBtq1wIXXHBByi/t6+hbIL908FNPPdX3QisINExAAVAAGhZZ2+2vwLx589LcuXP7e5pQj89ec+bMCTWzYcsXUAAUgPJTbsIfBPK/+vO//h27L5C/CuCNhHbfzSPqK6AAKAD1TaedDahA/n7/6aef7kl/e6ianxT48ssvp/y8AAeBEgQUAAWghByboQ+B/Ez//Mnfk/76F5X8yT+XgFwGHASaLqAAKABNz7D9VxC49NJLi31XvwrjD+iS/C6Cjz322ICe08kIdEJAAVAAOpE712yjwKpVq9KkSZPaeMXyL7Vy5co0ceLE8gc1YdECCoACUHTADZfStGnT0rJly1AMoMDUqVPT0qVLB/CMTkWg/QIKgALQ/tS5YtsEPOt/8Kj9VMDg2TpzewQUAAWgPUlzlbYLbN++PY0dOzb19PS0/doRLtjd3Z3WrVuXhgwZEmFcMxYooAAoAAXG2khZIL+17ezZs2EMosD8+fPDv4XyIPI69SALKAAKwCBHzOk7IdDb25vya/17R7vB1c/vpJjfK6Crq2twL+TsBAZBQAFQAAYhVk7ZaYFrr7023X///Z3eRojrX3PNNem+++4LMashyxJQABSAshJtmrRp06bW9/63bdtGow0CQ4cObT0XYOTIkW24mksQGDgBBUABGLg0OVMtBO699950/fXX12IvUTZxzz33pOuuuy7KuOYsREABUAAKibIxdgrkl/x95ZVXgLRR4LTTTmu9RLCDQJMEFAAFoEl5tdc+BL788st08MEHp++//55VGwX23nvv9Pnnn6cDDzywjVd1KQL9E1AAFID+JcijayXwzDPPpPPPP79We4qymaeffjqdd955UcY1ZwECCoACUECMjbBT4Pe//316+OGHgXRA4Iorrkh/+tOfOnBllySwZwIKgAKwZ8nxqFoK/OIXv/Cz/x26M/k1Af75z3926OouS2D3BRQABWD3U+MRtRTIP/43atSoWu4tyqY2btzoxwGj3OwC5lQAFIACYmyELHDXXXelm266CUYHBe6888504403dnAHLk2guoACoABUT4uVtRY4/vjjWy9I4+icQH4BprfffrtzG3BlArshoAAoALsRF0vrKrB169a0zz771HV7ofb13XffpWHDhoWa2bDNFFAAFIBmJteufyTwySefpMMPP5xKDQQ+/vjjdNhhh9VgJ7ZAYNcCCoAC4O9IAQJr165N48ePL2CS5o+wZs2aNG7cuOYPYoLiBRQABaD4kEcY0AsA1ecue0Gg+twLO/EVgH5lYMeOHf16vAcTaIfAQw89lK666qp2XMo1+hB48MEH05VXXsmJQO0FfAXAVwBqH1Ib7FsgvxOd96Tv26kdK6699tqU35HRQaDuAgqAAlD3jNpfBYHf/va36amnnqqw0pLBFrjgggvSX/7yl8G+jPMT6LeAAqAA9DtETtB5gZNPPjmtXr268xuxgzRhwoT0+uuvkyBQewEFQAGofUhtsG+BI488Mv3jH//oe6EVgy7wy1/+Mn344YeDfh0XINBfAQVAAehvhjy+BgI///nP07///e8a7MQWfvazn6V//etfIAjUXkABUABqH1Ib7FtAAejbqF0rFIB2SbtOfwUUAAWgvxny+BoI+BZADW7C/23BtwDqcy/sZNcCCoAC4O9IAQKeBFifm+hJgPW5F3aiAPQrA14IqF98HtwmAT8G2CboCpfxY4AVkCyphYCvAPgKQC2CaBP9E/BCQP3zG8hHeyGggdR0rsEUUAAUgMHMl3O3ScBLAbcJusJlvBRwBSRLaiGgACgAtQiiTfRPwJsB9c9vIB/tzYAGUtO5BlNAAVAABjNfzt0mAW8H3CboCpfxdsAVkCyphYACoADUIog20T+BTz75JB1++OH9O4lHD4jAxx9/nA477LABOZeTEBhMAQVAARjMfDl3mwS2bt2a9tlnnzZdzWV2JfDdd9+lYcOGQSJQewEFQAGofUhtsJrAcccdlzZs2FBtsVWDIjB69Oj0zjvvDMq5nZTAQAsoAArAQGfK+TokMGfOnHTbbbd16OoumwVuvfXWNG/ePBgEGiGgACgAjQiqTfYtsG7dunT88cf3vdCKQRN4++2309ixYwft/E5MYCAFFAAFYCDz5FwdFujq6kpbtmzp8C5iXn748OGpt7c35vCmbqSAAqAANDK4Nv3TAvllaBctWoSnAwIzZ85MTz31VAeu7JIE9kxAAVAA9iw5HlVLgSeffDJddNFFtdxb6ZtauHBhuvDCC0sf03wFCSgACkBBcTZK/vL/iBEjkjexam8W8v+Rbt68OeVvAzgINEVAAVAAmpJV+6woMGnSpLRq1aqKqy0bCIGJEyemlStXDsSpnINA2wQUAAWgbWFzofYI3HXXXemmm25qz8VcpSVw5513phtvvJEGgUYJKAAKQKMCa7N9C2zatKn1o2jbtm3re7EV/RYYOnRoyj+COXLkyH6fywkItFNAAVAA2pk312qTQH5P+vvvv79NV4t9mWuuuSbdd999sRFM30gBBUABaGRwbXrXAvnn0ceMGZM+/fRTVIMocOihh6b169en/PoLDgJNE1AAFICmZdZ+KwosWLAgzZ49u+Jqy/ZEYP78+WnWrFl78lCPIdBxAQVAAeh4CG1gcAS2b9/eei5AT0/P4Fwg+Fm7u7tb3/sfMmRIcAnjN1VAAVAAmppd+64gkF8VML86oGPgBfKr/uVX/3MQaKqAAqAANDW79l1RYNq0aWnZsmUVV1tWRWDq1Klp6dKlVZZaQ6C2AgqAAlDbcNrYwAjkFwXKLw7kGDiB/KI/+cV/HASaLKAAKABNzq+9VxS49NJL0+OPP15xtWW7ErjkkkvSY489BolA4wUUAAWg8SE2QN8C3377bTrzzDPT6tWr+15sxf8UmDBhQnrxxRfTvvvuS4lA4wUUAAWg8SE2QDWBjz76KOVPYJ999lm1B1j1I4FDDjmkVaCOOOIIMgSKEFAAFIAigmyIagJr165N48ePr7bYqh8JrFmzJo0bN44KgWIEFAAFoJgwG6SawJIlS9K5555bbbFVLYFnn302TZ8+nQaBogQUAAWgqEAbpprAAw884BXsqlGl/IqKV199dcXVlhFojoACoAA0J612OqAC559/fnrmmWcG9Jylney8885LTz/9dGljmYdAS0ABUAD8VQgskN/MxpMCfzoA+Ul/3kwp8F+OAKMrAApAgJgbcVcCBxxwQPr6668h/YfA/vvvn7766ismBIoWUAAUgKIDbrhqAvmtg995551qiwtfddxxx7Xe4tdBoHQBBUABKD3j5qsokN80KL95UOQjv7lPfpMfB4EIAgqAAhAh52asKDBv3rw0d+7ciqvLWpbnnjNnTllDmYbALgQUAAXAXxACPxLIXwX4wx/+EOZ5Afn7/X/84x+9ta+/B+EEFAAFIFzoDdy3QH4+wJVXXln88wLy9/sfeuihlH91EIgmoAAoANEyb96KAvknA6677rpi30Uwv6vfvffem/JXABwEIgooAApAxNybeTcEVq1alR588MG0bNmy3XhUfZdOnTo1XXXVVWnixIn13aSdEWiDgAKgALQhZi5RgkB+bkD+cnlPT08jx+nu7m59WyM/099BgIBXAuwzAzt27OhzjQUEoghs3769VQLyVwSa8ip5+dUO87/48yf/IUOGRLlV5iTQp4CvAPgKQJ8hsYDAfwv09va2SkAuA9u2basl0NChQ1uf9PMn/66urlru0aYIdFJAAVAAOpk/1264wKZNm9Jrr72W3njjjbRixYr0/fffd3SivffeO02ePDmddNJJ6ZRTTkkjR47s6H5cnECdBRQABaDO+bS3Bgl8+eWX6W9/+1tavXp16wmD7foWQf4Sf35i34QJE9Kvf/3rdOCBBzZIzVYJdE5AAVAAOpc+Vy5aIH91YPny5a0ysG7dugGddezYsa1P+lOmTPGv/AGVdbJIAgqAAhAp72btkMDWrVtTft7AT31s3rz5h/+et5e/X58/RowY8cPvd/63nb8OGzasQ5O4LIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFncm2RQAAAp5SURBVFAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAAUgHLSbBICBAgQqCygACgAlcNiIQECBAiUI6AAKADlpNkkBAgQIFBZQAFQACqHxUICBAgQKEdAAVAAykmzSQgQIECgsoACoABUDouFBAgQIFCOgAKgAJSTZpMQIECAQGUBBUABqBwWCwkQIECgHAEFQAEoJ80mIUCAAIHKAgqAAlA5LBYSIECAQDkCCoACUE6aTUKAAAEClQUUAAWgclgsJECAAIFyBBQABaCcNJuEAAECBCoLKAAKQOWwWEiAAAEC5QgoAApAOWk2CQECBAhUFlAAFIDKYbGQAAECBMoRUAD6uJebN29OXV1d5dxxkxAgQIBAeIHe3t40YsSIWjnslVLaUacdvfvuu2nUqFF12pK9ECBAgACBfgls3LgxHXvssf06x0A/uHYF4MUXX0zTpk0b6DmdjwABAgQIdExg6dKl6cwzz+zY9X/qwrUrAI888ki67LLLaoVkMwQIECBAoD8Cjz76aLr88sv7c4oBf2ztCsDcuXPTnDlzBnxQJyRAgAABAp0SmDdvXsqf3+p01K4A5H/9568COAgQIECAQCkC+V//+asAdTpqVwCmTp2a8vdKHAQIECBAoBSB/Ny2ZcuW1Wqc2hWAgw46KH3++ee1QrIZAgQIECDQH4GDDz44ffHFF/05xYA/tnYFIE+4Zs2aNG7cuAEf1gkJECBAgEC7BdauXZvGjx/f7sv2eb1aFoBZs2al+fPn97l5CwgQIECAQN0FZs+enRYsWFC7bdayABxzzDHp73//e+2wbIgAAQIECOyuwK9+9av03nvv7e7DBn19LQtAnjq/atLIkSMHHcAFCBAgQIDAYAls2rSptq9uW9sCcOedd6Ybb7xxsO6J8xIgQIAAgUEXuOuuu9JNN9006NfZkwvUtgBMnDgxrVy5ck9m8hgCBAgQIFALgUmTJqVVq1bVYi//vYnaFoC80Q0bNqTu7u5awtkUAQIECBDYlUBPT08aPXp0bZFqXQAuuuii9MQTT9QWz8YIECBAgMD/Erj44ovTwoULawtU6wKQ1d56661a/vxkbe+ojREgQIBAxwXy69mccMIJHd/HrjZQ+wIwY8aMtGjRoloj2hwBAgQIEPhPgZkzZ6bFixfXGqX2BSDrvfbaayk/kcJBgAABAgTqLpCfwH7KKafUfZupEQXgnHPOSUuWLKk9pg0SIECAAIHp06en5557rvYQjSgAWTG/i9IZZ5xRe1AbJECAAIG4Ai+99FLK72rbhKMxBWDMmDHplVdeSfvtt18TXO2RAAECBIIJfPPNN+m0005L69evb8TkjSkAWfPCCy+s9Y9UNOKO2yQBAgQIDIpA/tH1J598clDOPRgnbVQByAB33313uv766wfDwjkJECBAgMAeCdxzzz3phhtu2KPHdupBjSsAGer5559PZ511VqfMXJcAAQIECPwg8MILL6Szzz67cSKNLABZ+YMPPkhHHnlk48BtmAABAgTKEfjwww/TUUcd1ciBGlsAsvaOHTsaiW7TBAgQIFCGwF575U+jzTwaXQAy+RtvvJFOPPHEZurbNQECBAg0UuDNN99MJ510UiP3vnPTjS8AeZDbb7893XzzzY2+ETZPgAABAs0QuOOOO9Itt9zSjM3uYpdFFIA8n3cObHwWDUCAAIHaC9T9Hf52B7CYApCHzi/A8Oc//zkNHz58dwysJUCAAAECuxTYsmVL+t3vftd6QbpSjqIKQL4pI0eOTLfddpuXDS4loeYgQIBAhwXyy/veeuutadOmTR3eycBevrgCsJMnv4HQFVdc4V0EBzYvzkaAAIEwAvld/R5++OFGvLHPntyUYgvATowZM2a0isD48eP3xMdjCBAgQCCYwJo1a1qf+BcvXlz05MUXgJ13Lz9JMBeB7u7uom+o4QgQIEBgzwR6enpan/gXLly4Zydo2KPCFICd92Xy5Mnp1FNPTfnXo48+umG3y3YJECBAYCAF3n///bRixYr06quvtn6NdIQrAP95c0eNGtV63+Zp06al/HsHAQIECJQvsHHjxrR06dK0bNmylH8f9QhdAP7zpucfHcwloKurq/WR/5w/dv4+/+ogQIAAgfoL9Pb2pvxjezt/3fn7/Of8CT//2ZGSAiAFBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQICAAiADBAgQIEAgoIACEPCmG5kAAQIECCgAMkCAAAECBAIKKAABb7qRCRAgQIDA/wOR7n6mbrml6gAAAABJRU5ErkJggg==' -img1out = io.BytesIO(base64.b64decode(img1)) -image1 = pygame.image.load(img1out) -img2 = 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' -img2out = io.BytesIO(base64.b64decode(img2)) -image2 = pygame.image.load(img2out) -img3 = 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' -img3out = io.BytesIO(base64.b64decode(img3)) -image3 = pygame.image.load(img3out) -img4 = 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' -img4out = io.BytesIO(base64.b64decode(img4)) -image4 = pygame.image.load(img4out) -img5 = 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' -img5out = io.BytesIO(base64.b64decode(img5)) -image5 = pygame.image.load(img5out) -img6 = 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' -img6out = io.BytesIO(base64.b64decode(img6)) -image6 = pygame.image.load(img6out) -img7 = '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' -img7out = io.BytesIO(base64.b64decode(img7)) -image7 = pygame.image.load(img7out) - -dice_opts = [image6, image5, image4, image3, image2, image1] - - -def roll(): - dice = random.choice(dice_opts) - return dice - - -def app_screen(): - screen.fill(background_color) - screen.blit(image7, (610, 100)) - - run = True - while run: - time_end = time.time() + 60 * 0.015 - for event in pygame.event.get(): - if event.type == pygame.QUIT: - sys.exit() - if event.type == pygame.KEYDOWN: - if event.key == pygame.K_ESCAPE: - sys.exit() - if event.key == pygame.K_SPACE: - while time.time() < time_end: - dice = roll() - screen.blit(dice, (50, 50)) - pygame.display.update() - - pygame.display.update() - mainClock.tick(60) - - -app_screen()