How to use run_classic method in responses

Best Python code snippet using responses

play_wordle.py

Source: play_wordle.py Github

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...124 else:125 print(current_eval)126 return print("You Died")127#Classic version solver128def run_classic(cheat):129 # set up Selenium browser130 browser = webdriver.Chrome(ChromeDriverManager().install())131 browser.get("https:/​/​www.powerlanguage.co.uk/​wordle/​")132 # wait to start the program133 time.sleep(2)134 action = webdriver.ActionChains(browser)135 action.click()136 action.perform()137 #keyboard.wait(start_button) 138 if cheat:139 bword=browser.execute_script("return window.localStorage.getItem('gameState');")140 start=bword.find("solution")+11 141 end=bword.find("solution")+16142 word=bword[start:end]143 enter_guess(word) 144 else: 145 game_app = browser.find_element(By.TAG_NAME, 'game-app')146 board = browser.execute_script("return arguments[0].shadowRoot.getElementById('board')", game_app)147 game_rows = board.find_elements(By.TAG_NAME, 'game-row')148 play(game_rows, browser, get_wordle_guesses(), get_wordle_answers(), True)149 time.sleep(3)150 browser.close()151 My_input()152#Octokatherine version solver153def run_octokatherine(cheat):154 # how many rounds to play155 num_games = 10156 # set up Selenium browser157 browser = webdriver.Chrome(ChromeDriverManager().install())158 browser.get("https:/​/​octokatherine.github.io/​word-master/​")159 # wait to start the program160 time.sleep(2)161 #exit instructions162 keyboard.press_and_release('esc')163 #keyboard.wait(start_button)164 for num in range(num_games):165 if cheat:166 word=browser.execute_script("return window.localStorage.getItem('stateAnswer');")[1:6]167 enter_guess(word)168 else:169 # get game rows170 game_rows = np.array(browser.find_elements(By.TAG_NAME, 'span')).reshape(6, 5) 171 # guess list and answer list is the same172 play(game_rows, browser, get_wordmaster_guesses(), get_wordmaster_answers(), False) 173 # play again174 time.sleep(2)175 keyboard.press('esc')176 time.sleep(2)177 keyboard.release('esc')178 time.sleep(2)179 browser.find_element(By.XPATH, '/​/​button[text()="Play Again"]').click()180 time.sleep(2)181 time.sleep(3)182 browser.close()183 My_input()184#Cyclic input function 185def My_input():186 print("Choose game version:")187 print("0 - play wordl")188 print("1 - solve Josh Wordl's game")189 print("2 - solve Katherine Peterson's game")190 print("3 - cheat Josh Wordl game")191 print("4 - cheat Katherine Peterson's game")192 print("9 - exit")193 print("Please make browser active windows and don't change active window")194 print("Press space to start")195 print("Press ctrl+C to exit")196 version=input()197 try:198 match version:199 case '0':200 run_game()201 My_input()202 case '1':203 run_classic(False)204 case '2':205 run_octokatherine(False)206 case '3':207 run_classic(True)208 case '4':209 run_octokatherine(True)210 case '9':211 exit()212 case _:213 My_input(input('Try Again: '))214 except KeyboardInterrupt:215 exit()216start_button = 'space'...

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main.py

Source: main.py Github

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...71 except AssertionError as e:72 print(f'При вычислении возникла ошибка.\n "{e}"')73 except KeyboardInterrupt:74 print('Выход')75def run_classic(d, images, labels):76 classes = list(sorted(list(set(labels))))77 model = ClassicModel(f, classes, dimensions=d)78 # произведем обучение классификатора79 model.learn(images, labels)80 if d == 2:81 viz2d(model, (images, labels))82 # m.save() # todo дать имя модели83 interact(model)84def run_stochastic(d, images, labels):85 classes = list(sorted(list(set(labels))))86 model = StochasticModel(f, classes, dimensions=d)87 model.learn(images, labels)88 if d == 2:89 viz2d(model, (images, labels))90 # m.save() # todo дать имя модели91 interact(model)92def run_restochastic(d, images, labels):93 classes = list(sorted(list(set(labels))))94 model = ReStochasticModel(f, classes, dimensions=d)95 model.learn(images, labels)96 if d == 2:97 viz2d(model, (images, labels))98 # m.save() # todo дать имя модели99 interact(model)100if __name__ == '__main__':101 data = Path('./​data')102 # 'simple1d.txt'103 # 'simple2d.txt', 'advanced2d.txt'104 # 'wavelets.txt'105 data_names = ['simple2d.txt']106 for d_name in data_names:107 d, images, labels = load_data(d_name, data)108 print('>>>>> classic')109 run_classic(d, images, labels)110 # print('>>>>> stochastic')111 # run_stochastic(d, images, labels)112 print('>>>>> restochastic')...

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classic.py

Source: classic.py Github

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1import argparse2from all.environments import GymEnvironment3from all.experiments import Experiment4from all.presets import classic_control5def run_classic():6 parser = argparse.ArgumentParser(description="Run a classic control benchmark.")7 parser.add_argument("env", help="Name of the env (e.g. CartPole-v1)")8 parser.add_argument(9 "agent",10 help="Name of the agent (e.g. sarsa). See presets for available agents.",11 )12 parser.add_argument(13 "--episodes", type=int, default=2000, help="The number of training frames"14 )15 parser.add_argument(16 "--device",17 default="cuda",18 help="The name of the device to run the agent on (e.g. cpu, cuda, cuda:0)",19 )20 args = parser.parse_args()21 env = GymEnvironment(args.env, device=args.device)22 agent_name = args.agent23 agent = getattr(classic_control, agent_name)24 Experiment(agent(device=args.device), env, episodes=args.episodes)25if __name__ == "__main__":...

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