
"""simple docstring"""
import random
import sys

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

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

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

def  lowercase     (_lowerCAmelCase						):
						__lowerCAmelCase     =  [[False for i in range(_lowerCAmelCase						)] for j in range(_lowerCAmelCase						)]
						return canvas

def  lowercase     (_lowerCAmelCase						):
						for i, row in enumerate(_lowerCAmelCase						):
												for j, _ in enumerate(_lowerCAmelCase						):
																		__lowerCAmelCase     =  bool(random.getrandbits(1						)						)

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

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

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):
						__lowerCAmelCase     =  0
						__lowerCAmelCase     =  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.
						__lowerCAmelCase     =  pt
						if pt:
												if alive < 2:
																		__lowerCAmelCase     =  False
												elif alive == 2 or alive == 3:
																		__lowerCAmelCase     =  True
												elif alive > 3:
																		__lowerCAmelCase     =  False
						else:
												if alive == 3:
																		__lowerCAmelCase     =  True

						return state


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

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


"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


SCREAMING_SNAKE_CASE_					     =	{
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE_					     =	[
			    '''RagModel''',
			    '''RagPreTrainedModel''',
			    '''RagSequenceForGeneration''',
			    '''RagTokenForGeneration''',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE_					     =	[
			    '''TFRagModel''',
			    '''TFRagPreTrainedModel''',
			    '''TFRagSequenceForGeneration''',
			    '''TFRagTokenForGeneration''',
			]


if TYPE_CHECKING:
			from .configuration_rag import RagConfig
			from .retrieval_rag import RagRetriever
			from .tokenization_rag import RagTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_rag import (
						    TFRagModel,
						    TFRagPreTrainedModel,
						    TFRagSequenceForGeneration,
						    TFRagTokenForGeneration,
						)

else:
			import sys

			SCREAMING_SNAKE_CASE_					     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
