


import random
import sys

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

lowerCAmelCase           =		'Usage of script: script_name <size_of_canvas:int>'

lowerCAmelCase           =		[0] * 1_0_0 + [1] * 1_0
random.shuffle(choice)







def        _lowerCamelCase(	lowercase__	)						->	List[str]:

		'''simple docstring'''







		__lowercase=			[[False for i in range(__snake_case	)] for j in range(__snake_case	)]
		return canvas







def        _lowerCamelCase(	lowercase__	)						->	Any:

		'''simple docstring'''







		for i, row in enumerate(__snake_case	):
				for j, _ in enumerate(__snake_case	):
						__lowercase=			bool(random.getrandbits(1	)	)







def        _lowerCamelCase(	lowercase__	)						->	List[Any]:

		'''simple docstring'''







		__lowercase=			np.array(__snake_case	)
		__lowercase=			np.array(create_canvas(current_canvas.shape[0]	)	)
		for r, row in enumerate(__snake_case	):
				for c, pt in enumerate(__snake_case	):
						__lowercase=			__judge_point(
						    __snake_case   , current_canvas[r - 1 : r + 2, c - 1 : c + 2]	)

		__lowercase=			next_gen_canvas
		del next_gen_canvas  # cleaning memory as we move on.
		__lowercase=			current_canvas.tolist()
		return return_canvas







def        _lowerCamelCase(	lowercase__   , lowercase__	)						->	List[str]:

		'''simple docstring'''







		__lowercase=			0
		__lowercase=			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.
		__lowercase=			pt
		if pt:
				if alive < 2:
						__lowercase=			False
				elif alive == 2 or alive == 3:
						__lowercase=			True
				elif alive > 3:
						__lowercase=			False
		else:
				if alive == 3:
						__lowercase=			True

		return state


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

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














"""simple docstring"""



import argparse
import json

from tqdm import tqdm
def 						_SCREAMING_SNAKE_CASE (    ):





  '''simple docstring'''





  lowercase							    =       argparse.ArgumentParser()

  # Required parameters
  parser.add_argument(
      '--src_path'		,					type=__snake_case		,					default='biencoder-nq-dev.json'		,					help='Path to raw DPR training data'		,					)
  parser.add_argument(
      '--evaluation_set'		,					type=__snake_case		,					help='where to store parsed evaluation_set file'		,					)
  parser.add_argument(
      '--gold_data_path'		,					type=__snake_case		,					help='where to store parsed gold_data_path file'		,					)
  lowercase							    =       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:
    lowercase							    =       json.load(__snake_case    )
    for dpr_record in tqdm(__snake_case    ):
      lowercase							    =       dpr_record['question']
      lowercase							    =       [context['title'] for context in dpr_record['positive_ctxs']]
      eval_file.write(question + '\n'    )
      gold_file.write('\t'.join(__snake_case    ) + '\n'    )


if __name__ == "__main__":
    main()


