How to use get_num_errors method in Slash

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hangman.py

Source:hangman.py Github

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...75 get_num_guess()76 Return the number of guesses the user has made77 get_guesses()78 Return the list attribute locations holding the letters the user has guessed79 get_num_errors()80 Return the attribute num_errors 81 add_num_guess()82 Increase attribute num_guess by 183 add_num_errors()84 Increase attribute num_errors by 185 add_guess_letter()86 Append letter to attribute list guesses87 show_word()88 Prints the word object to stdout as a string89 get_word_indices(guess)90 Gets the indices where guess exists in word91 update_display(indices, letter)92 Updates display attribute by replacing '_' with letter at given indices93 check_guess(guess)94 Checks whether the guess made exists in word or is an error95 """96 def __init__(self) -> None:97 """98 Constructs all the necessary attributes for the Word object.99 Parameters100 ----------101 word : str102 The word being guessed103 display : [str]104 Formatted display with '_' as placeholder for letter in word105 guesses : [str]106 The letters the user has already guessed107 num_guess : int108 The number of guesses the user has made109 num_errors : int110 The number of errors the user has made111 """112 self.word = self.__get_random_word()113 self.display = ['_ ' for letter in self.word]114 self.guesses = []115 self.num_guess = 0116 self.num_errors = 0117 def __get_random_word(self) -> str:118 word = wordApi.getRandomWord(maxLength=8)119 return word.word120 def get_word(self) -> str:121 return self.word122 123 def get_display(self) -> list[str]:124 return self.display125 def get_num_guess(self) -> int:126 return self.num_guess127 128 def get_guesses(self) -> list[str]:129 return self.guesses130 def get_num_errors(self) -> int:131 return self.num_errors132 133 def add_num_guess(self) -> None:134 self.num_guess += 1135 136 def add_num_errors(self) -> None:137 self.num_errors += 1138 139 def add_guess_letter(self, letter: str) -> None:140 self.guesses.append(letter)141 def show_word(self) -> None:142 display = ' '.join(self.display)143 print(f'\nThe word is {display}')144 145 def get_word_indices(self, guess: str) -> list[int]:146 locations = []147 for i, letter in enumerate(list(self.word)):148 if letter == guess:149 locations.append(i)150 return locations151 152 def update_display(self, indices: list[int], letter: str) -> None:153 for i in indices:154 self.display[i] = letter155 def check_guess(self, guess: str) -> int:156 if guess not in self.guesses and guess in self.get_word():157 self.add_guess_letter(guess)158 self.add_num_guess()159 indices = self.get_word_indices(guess)160 self.update_display(indices, guess)161 print('\nYou got it! The letter '+guess+' is in the word!\n')162 return 0163 else:164 if guess in self.guesses:165 self.add_num_guess()166 self.add_num_errors()167 print('\nUh oh, you have already guessed the letter '+guess+'!\nA part to the stick figure will be added.\n')168 else:169 self.add_guess_letter(guess)170 self.add_num_guess()171 self.add_num_errors()172 print('\nUh oh, the letter '+guess+' is not in the word!\nA part to the stick figure will be added.')173 return -1174class Game:175 """176 A class used to represent a Hangman Game177 ...178 Attributes179 ----------180 word : Word object181 A formatted string to print out the hangman figure182 picture : Picture object183 Something here184 Methods185 -------186 print_title()187 Prints out the ASCII title to stdout188 check_for_win()189 Checks for win condition of the game190 reset()191 Gets a new Word object and Picture object and resets game192 play_again()193 Gets user input whether to play the game again to reset or not to exit game194 run()195 Runs the game awaiting user input for guess, until win condition or user exit196 """197 def __init__(self) -> None:198 """199 Constructs all the necessary attributes for the Game object.200 Parameters201 ----------202 word : Word object203 Word object204 picture : Picture object205 Picture object206 """207 self.word = Word()208 self.picture = Picture()209 def print_title(self) -> None:210 print(' _ _ _ _ ') 211 print('| | | | | | | | ') 212 print('| | | | ___| | ___ ___ _ __ ___ ___ | |_ ___ ')213 print('| |/\| |/ _ \ |/ __/ _ \| \'_ ` _ \ / _ \ | __/ _ \ ')214 print('\ /\ / __/ | (_| (_) | | | | | | __/ | || (_) | ')215 print(' \/ \/ \___|_|\___\___/|_| |_| |_|\___| \__\___/ ')216 217 print(' _ _') 218 print('| | | | ') 219 print('| |_| | __ _ _ __ __ _ _ __ ___ __ _ _ __ ')220 print('| _ |/ _` | \'_ \ / _` | \'_ ` _ \ / _` | \'_ \ ') 221 print('| | | | (_| | | | | (_| | | | | | | (_| | | | | ')222 print('\_| |_/\__,_|_| |_|\__, |_| |_| |_|\__,_|_| |_| ')223 print(' __/ |') 224 print(' |___/') 225 def check_for_win(self) -> bool:226 display = ''.join(self.word.get_display())227 if display == self.word.get_word():228 return True229 def check_for_lose(self) -> bool:230 if self.word.get_num_errors() == MAX_ERRORS:231 self.picture.update_image(self.word.get_num_errors())232 self.picture.draw_image()233 return True234 235 def reset(self) -> None:236 self.word = Word()237 self.picture = Picture()238 239 def play_again(self) -> None:240 answer = input('Want to play again? Type \'y\' to play another round, or \'n\' to exit the game.\n>>> ')241 if answer.lower() == 'y':242 self.reset()243 else:244 exit()245 def run(self) -> None:246 running = True247 self.print_title()248 while running:249 self.picture.draw_image() 250 self.word.show_word()251 guess = input('Guess a letter or type exit to leave the game\n>>> ')252 if guess == 'exit':253 print('Thanks for playing! The word was '+self.word.get_word()+'. See you soon!')254 exit()255 256 if self.word.check_guess(guess.lower()) == -1:257 self.picture.update_image(self.word.get_num_errors())258 if self.check_for_win():259 print(f'You have guessed the word {self.word.word} in {self.word.get_num_guess()} guesses!')260 self.play_again()261 elif self.check_for_lose():262 print('You have lost the game! The word was '+self.word.get_word()+'.')263 self.play_again()264if __name__ == '__main__':265 game = Game()...

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PocketAlgo.py

Source:PocketAlgo.py Github

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...4import numpy as np5from numpy import loadtxt6import matplotlib.pyplot as plt7# below code for checking random point or accuracy8def get_num_errors():9 error_counter=010 for idx in range(0,2000):11 final_test= W0*1 + W1*input[idx][0] +W2*input[idx][1] + W3*input[idx][2]12 if final_test <= 0 and input[idx,3] == 1: #error case one keep count13 error_counter=error_counter + 114 if final_test >= 0 and input[idx,3] == -1: 15 error_counter=error_counter + 116 return error_counter17 #3D problem so 3 wt variables + threshold(W0)18W1=519W2=520W3=5 21W0=4 # -threshold woith X0=122step_size=0.01#0.00823np_data_points=024with open('classification.txt', 'r') as in_file:25 np_data_points = loadtxt('classification.txt', delimiter=',')26input = np.delete(np_data_points, 3, axis=1) # using last column as labels and delete older labels27iter=028error_size=700029num_misclassify=[0]*error_size30while (True): 31 W0_old=W032 W1_old=W133 W2_old=W234 W3_old=W335 for point in input:36 value= W0*1 + W1*point[0] +W2*point[1] + W3*point[2]37 if value < 0 and point[3] == 1: # CAse 1 w= w+ alpha*X 38 W0=W0 + step_size* 139 W1=W1 + step_size*point[0]40 W2=W2 + step_size*point[1]41 W3=W3 + step_size*point[2]42 num_misclassify[iter]= get_num_errors() # call function to calculate and store number of misclassified pts43 iter=iter+144 elif value >=0 and point[3]==-1: # Case245 W0=W0 - step_size* 146 W1=W1 - step_size*point[0]47 W2=W2 - step_size*point[1]48 W3=W3 - step_size*point[2]49 num_misclassify[iter]= get_num_errors() # call function to calculate and store number of misclassified pts50 iter=iter+151 if iter>=error_size : # run only 7000 iterations52 break53 if iter>=error_size : # run only 7000 iterations54 break # break from both loops55print("Weight vector W = [" + str(W0) +", " + str(W1) +", " + str(W2) +", "+ str(W3) +"]")56downSample=10057y=[0]* int (error_size / downSample)58y_idx=059for i in range(0,len(num_misclassify)): # down sampling the errors array fro better display60 if i % downSample ==0: #down sample by 10061 y[y_idx]=num_misclassify[i]62 y_idx= y_idx+163fig = plt.figure()64ax = plt.axes()65x = np.linspace(0, 7000, len(y) )66ax.plot(x, y)67plt.show()68numWrong= num_misclassify[-2] #get_num_errors()69Accuracy= 100 - ( (numWrong/2000) * 100 )70print("Accuracy = " + str(Accuracy) + "%")71 ...

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grammar_error.py

Source:grammar_error.py Github

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...45 if self._language == LANGUAGE.CHINESE:46 self.lang_tool = language_tool_python.LanguageTool("zh-CN")47 elif self._language == LANGUAGE.ENGLISH:48 self.lang_tool = language_tool_python.LanguageTool("en-US")49 def get_num_errors(50 self, attacked_text: AttackedText, use_cache: bool = False51 ) -> int:52 """ """53 text = attacked_text.text54 if use_cache:55 if text not in self.grammar_error_cache:56 self.grammar_error_cache[text] = len(self.lang_tool.check(text))57 return self.grammar_error_cache[text]58 else:59 return len(self.lang_tool.check(text))60 def _check_constraint(61 self, transformed_text: AttackedText, reference_text: AttackedText62 ) -> bool:63 """ """64 original_num_errors = self.get_num_errors(reference_text, use_cache=True)65 errors_added = self.get_num_errors(transformed_text) - original_num_errors...

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