






"""simple docstring"""







import random
import sys

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

lowerCAmelCase_	:    List[Any]            =      '''Usage of script: script_name <size_of_canvas:int>'''

lowerCAmelCase_	:    str            =      [0] * 1_0_0 + [1] * 1_0
random.shuffle(choice)






def       _lowerCAmelCase       (      lowerCAmelCase		):







    '''simple docstring'''
    UpperCAmelCase	    =			[[False for i in range(_SCREAMING_SNAKE_CASE		)] for j in range(_SCREAMING_SNAKE_CASE		)]
    return canvas






def       _lowerCAmelCase       (      lowerCAmelCase		):







    '''simple docstring'''
    for i, row in enumerate(_SCREAMING_SNAKE_CASE		):
        for j, _ in enumerate(_SCREAMING_SNAKE_CASE		):
            UpperCAmelCase	    =			bool(random.getrandbits(1		)		)






def       _lowerCAmelCase       (      lowerCAmelCase		):







    '''simple docstring'''
    UpperCAmelCase	    =			np.array(_SCREAMING_SNAKE_CASE		)
    UpperCAmelCase	    =			np.array(create_canvas(current_canvas.shape[0]		)		)
    for r, row in enumerate(_SCREAMING_SNAKE_CASE		):
        for c, pt in enumerate(_SCREAMING_SNAKE_CASE		):
            UpperCAmelCase	    =			__judge_point(
                _SCREAMING_SNAKE_CASE	,      current_canvas[r - 1 : r + 2, c - 1 : c + 2]		)

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






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase		):







    '''simple docstring'''
    UpperCAmelCase	    =			0
    UpperCAmelCase	    =			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.
    UpperCAmelCase	    =			pt
    if pt:
        if alive < 2:
            UpperCAmelCase	    =			False
        elif alive == 2 or alive == 3:
            UpperCAmelCase	    =			True
        elif alive > 3:
            UpperCAmelCase	    =			False
    else:
        if alive == 3:
            UpperCAmelCase	    =			True

    return state


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

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








"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase_	:    int            =      logging.get_logger(__name__)

lowerCAmelCase_	:    List[Any]            =      {
    '''facebook/xlm-roberta-xl''': '''https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json''',
    '''facebook/xlm-roberta-xxl''': '''https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json''',
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}





class   UpperCamelCase_ (       a_  ):
  _A       :					int				=	'xlm-roberta-xl'



  def __init__(      self ,		snake_case__=25_08_80 ,		snake_case__=25_60 ,		snake_case__=36 ,		snake_case__=32 ,		snake_case__=1_02_40 ,		snake_case__="gelu" ,		snake_case__=0.1 ,		snake_case__=0.1 ,		snake_case__=5_14 ,		snake_case__=1 ,		snake_case__=0.02 ,		snake_case__=1e-05 ,		snake_case__=1 ,		snake_case__=0 ,		snake_case__=2 ,		snake_case__="absolute" ,		snake_case__=True ,		snake_case__=None ,		**snake_case__ ,		)			->			Union[str, Any]:



         """simple docstring"""





         super().__init__(pad_token_id=snake_case__ ,		bos_token_id=snake_case__ ,		eos_token_id=snake_case__ ,		**snake_case__				)
         UpperCAmelCase	    =			vocab_size
         UpperCAmelCase	    =			hidden_size
         UpperCAmelCase	    =			num_hidden_layers
         UpperCAmelCase	    =			num_attention_heads
         UpperCAmelCase	    =			hidden_act
         UpperCAmelCase	    =			intermediate_size
         UpperCAmelCase	    =			hidden_dropout_prob
         UpperCAmelCase	    =			attention_probs_dropout_prob
         UpperCAmelCase	    =			max_position_embeddings
         UpperCAmelCase	    =			type_vocab_size
         UpperCAmelCase	    =			initializer_range
         UpperCAmelCase	    =			layer_norm_eps
         UpperCAmelCase	    =			position_embedding_type
         UpperCAmelCase	    =			use_cache
         UpperCAmelCase	    =			classifier_dropout





class   UpperCamelCase_ (       a_  ):



  @property
  def 		UpperCamelCase_				(      self				)			->			Mapping[str, Mapping[int, str]]:



         """simple docstring"""





         if self.task == "multiple-choice":
                UpperCAmelCase	    =			{0: """batch""", 1: """choice""", 2: """sequence"""}
         else:
                UpperCAmelCase	    =			{0: """batch""", 1: """sequence"""}
         return OrderedDict(
             [
                 ("""input_ids""", dynamic_axis),
                 ("""attention_mask""", dynamic_axis),
             ]				)
