



'''simple docstring'''





import random
import sys

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap

__a          =		"Usage of script: script_name <size_of_canvas:int>"

__a          =		[0] * 100 + [1] * 10
random.shuffle(choice)





def 						__snake_case(				_lowerCAmelCase		)		-> list[list[bool]]:
      snake_case__  :    Tuple    						=      [[False for i in range(_lowerCAmelCase		)] for j in range(_lowerCAmelCase		)]
      return canvas





def 						__snake_case(				_lowerCAmelCase		)		-> None:
      for i, row in enumerate(_lowerCAmelCase		):
            for j, _ in enumerate(_lowerCAmelCase		):
                  snake_case__  :    List[str]    						=      bool(random.getrandbits(1		)		)





def 						__snake_case(				_lowerCAmelCase		)		-> list[list[bool]]:
      snake_case__  :    Union[str, Any]    						=      np.array(_lowerCAmelCase		)
      snake_case__  :    Tuple    						=      np.array(create_canvas(current_canvas.shape[0]		)		)
      for r, row in enumerate(_lowerCAmelCase		):
            for c, pt in enumerate(_lowerCAmelCase		):
                  snake_case__  :    List[Any]    						=      __judge_point(
                      _lowerCAmelCase     ,   current_canvas[r - 1 : r + 2, c - 1 : c + 2]		)

      snake_case__  :    Optional[int]    						=      next_gen_canvas
      del next_gen_canvas  # cleaning memory as we move on.
      snake_case__  :    list[list[bool]]    						=      current_canvas.tolist()
      return return_canvas





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> bool:
      snake_case__  :    List[Any]    						=      0
      snake_case__  :    Optional[Any]    						=      0
      # finding dead or alive neighbours count.
      for i in neighbours:
            for status in i:
                  if status:
                        alive += 1
                  else:
                        dead += 1

    # handling duplicate entry for focus pt.
      if pt:
            alive -= 1
      else:
            dead -= 1

      # running the rules of game here.
      snake_case__  :    int    						=      pt
      if pt:
            if alive < 2:
                  snake_case__  :    Tuple    						=      False
            elif alive == 2 or alive == 3:
                  snake_case__  :    Tuple    						=      True
            elif alive > 3:
                  snake_case__  :    List[Any]    						=      False
      else:
            if alive == 3:
                  snake_case__  :    Optional[Any]    						=      True

      return state


if __name__ == "__main__":
       if len(sys.argv) != 2:
              raise Exception(usage_doc)

       __a          =		int(sys.argv[1])
       # main working structure of this module.
       __a          =		create_canvas(canvas_size)
       seed(c)
       __a       ,						__a          =		plt.subplots()
       fig.show()
       __a          =		ListedColormap(["w", "k"])
       try:
              while True:
                     __a          =		run(c)
                     ax.matshow(c, cmap=cmap)
                     fig.canvas.draw()
                     ax.cla()
       except KeyboardInterrupt:
              # do nothing.
              pass





'''simple docstring'''





import string
from math import logaa





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> int:
      snake_case__  :    List[str]    						=      document.translate(
          str.maketrans(""""""     ,   """"""     ,   string.punctuation		)		).replace("""\n"""     ,   """"""		)
      snake_case__  :    List[str]    						=      document_without_punctuation.split(""" """		)  # word tokenization
      return len([word for word in tokenize_document if word.lower() == term.lower()]		)





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> tuple[int, int]:
      snake_case__  :    Dict    						=      corpus.lower().translate(
          str.maketrans(""""""     ,   """"""     ,   string.punctuation		)		)  # strip all punctuation and replace it with ''
      snake_case__  :    Any    						=      corpus_without_punctuation.split("""\n"""		)
      snake_case__  :    int    						=      term.lower()
      return (len([doc for doc in docs if term in doc]		), len(_lowerCAmelCase		))





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase=False		)		-> float:
      if smoothing:
            if n == 0:
                  raise ValueError("""log10(0) is undefined."""		)
            return round(1 + logaa(n / (1 + df)		)     ,   3		)

      if df == 0:
            raise ZeroDivisionError("""df must be > 0"""		)
      elif n == 0:
            raise ValueError("""log10(0) is undefined."""		)
      return round(logaa(n / df		)     ,   3		)





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> float:
      return round(tf * idf     ,   3		)
