



'''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

import argparse
import json

from tqdm import tqdm



def lowerCamelCase  (   ):
    '''simple docstring'''







    __UpperCamelCase     :Tuple			  =		argparse.ArgumentParser()

    # Required parameters
    parser.add_argument(
        '''--src_path'''  ,			type=SCREAMING_SNAKE_CASE  ,			default='''biencoder-nq-dev.json'''  ,			help='''Path to raw DPR training data'''  ,			)
    parser.add_argument(
        '''--evaluation_set'''  ,			type=SCREAMING_SNAKE_CASE  ,			help='''where to store parsed evaluation_set file'''  ,			)
    parser.add_argument(
        '''--gold_data_path'''  ,			type=SCREAMING_SNAKE_CASE  ,			help='''where to store parsed gold_data_path file'''  ,			)
    __UpperCamelCase     :str			  =		parser.parse_args()

    with open(args.src_path  ,			'''r'''	) as src_file, open(args.evaluation_set  ,			'''w'''	) as eval_file, open(
        args.gold_data_path  ,			'''w'''	) as gold_file:
        __UpperCamelCase     :List[str]			  =		json.load(SCREAMING_SNAKE_CASE	)
        for dpr_record in tqdm(SCREAMING_SNAKE_CASE	):
            __UpperCamelCase     :List[str]			  =		dpr_record['''question''']
            __UpperCamelCase     :Tuple			  =		[context['''title'''] for context in dpr_record['''positive_ctxs''']]
            eval_file.write(question + '''\n'''	)
            gold_file.write('''\t'''.join(SCREAMING_SNAKE_CASE	) + '''\n'''	)


if __name__ == "__main__":
    main()





