

'''simple docstring'''






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


def 		_A     (    A__      ):






 """simple docstring"""



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


def 		_A     (    A__      ):






 """simple docstring"""



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


def 		_A     (    A__      ):






 """simple docstring"""



 __lowercase							  = np.array(A__      )
 __lowercase							  = np.array(create_canvas(current_canvas.shape[0]      )      )
 for r, row in enumerate(A__      ):
  for c, pt in enumerate(A__      ):
   __lowercase							  = __judge_point(
       A__     ,				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 		_A     (    A__     ,				A__      ):






 """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__						,			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


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__UpperCamelCase		:       Any									=     {'configuration_mbart': ['MBART_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MBartConfig', 'MBartOnnxConfig']}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       List[str]									=     ['MBartTokenizer']

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       Dict									=     ['MBartTokenizerFast']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       List[str]									=     [
					    'MBART_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'MBartForCausalLM',
					    'MBartForConditionalGeneration',
					    'MBartForQuestionAnswering',
					    'MBartForSequenceClassification',
					    'MBartModel',
					    'MBartPreTrainedModel',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    'TFMBartForConditionalGeneration',
					    'TFMBartModel',
					    'TFMBartPreTrainedModel',
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       List[str]									=     [
					    'FlaxMBartForConditionalGeneration',
					    'FlaxMBartForQuestionAnswering',
					    'FlaxMBartForSequenceClassification',
					    'FlaxMBartModel',
					    'FlaxMBartPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_mbart import MBartTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_mbart_fast import MBartTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mbart import (
										    MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MBartForCausalLM,
										    MBartForConditionalGeneration,
										    MBartForQuestionAnswering,
										    MBartForSequenceClassification,
										    MBartModel,
										    MBartPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_mbart import (
										    FlaxMBartForConditionalGeneration,
										    FlaxMBartForQuestionAnswering,
										    FlaxMBartForSequenceClassification,
										    FlaxMBartModel,
										    FlaxMBartPreTrainedModel,
										)

else:
					import sys

					__UpperCamelCase		:       int									=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





