






"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__          = logging.get_logger(__name__)

lowercase__          = {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}


class 		__lowerCamelCase				( snake_case_			):





		'''simple docstring'''






		a_	:				Optional[int]            =							"""openai-gpt"""
		a_	:				int            =							{
		    """max_position_embeddings""": """n_positions""",
		    """hidden_size""": """n_embd""",
		    """num_attention_heads""": """n_head""",
		    """num_hidden_layers""": """n_layer""",
		}





		def __init__(   self							:	Union[str, Any]						,			a_							:	Dict=4_04_78						,			a_							:	str=5_12						,			a_							:	int=7_68						,			a_							:	List[Any]=12						,			a_							:	Dict=12						,			a_							:	Optional[Any]="gelu"						,			a_							:	Any=0.1						,			a_							:	Optional[int]=0.1						,			a_							:	List[Any]=0.1						,			a_							:	Dict=1e-5						,			a_							:	List[Any]=0.02						,			a_							:	List[str]="cls_index"						,			a_							:	Union[str, Any]=True						,			a_							:	str=None						,			a_							:	Union[str, Any]=True						,			a_							:	Tuple=0.1						,			**a_							:	Union[str, Any]						,			):
				lowerCAmelCase_   :							List[Any]									=			vocab_size
				lowerCAmelCase_   :							Dict									=			n_positions
				lowerCAmelCase_   :							int									=			n_embd
				lowerCAmelCase_   :							int									=			n_layer
				lowerCAmelCase_   :							Optional[int]									=			n_head
				lowerCAmelCase_   :							Tuple									=			afn
				lowerCAmelCase_   :							Dict									=			resid_pdrop
				lowerCAmelCase_   :							Any									=			embd_pdrop
				lowerCAmelCase_   :							Optional[Any]									=			attn_pdrop
				lowerCAmelCase_   :							Union[str, Any]									=			layer_norm_epsilon
				lowerCAmelCase_   :							Union[str, Any]									=			initializer_range
				lowerCAmelCase_   :							Union[str, Any]									=			summary_type
				lowerCAmelCase_   :							List[Any]									=			summary_use_proj
				lowerCAmelCase_   :							Dict									=			summary_activation
				lowerCAmelCase_   :							Optional[Any]									=			summary_first_dropout
				lowerCAmelCase_   :							Optional[int]									=			summary_proj_to_labels
				super().__init__(**a_	)







'''simple docstring'''

import random
import sys

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

lowercase_					= """Usage of script: script_name <size_of_canvas:int>"""

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





def lowerCamelCase						(     __lowerCamelCase :    int    )						->list[list[bool]]:
    _SCREAMING_SNAKE_CASE									=			[[False for i in range(__lowerCamelCase    )] for j in range(__lowerCamelCase    )]
    return canvas





def lowerCamelCase						(     __lowerCamelCase :    list[list[bool]]    )						->None:
    for i, row in enumerate(__lowerCamelCase    ):
        for j, _ in enumerate(__lowerCamelCase    ):
            _SCREAMING_SNAKE_CASE									=			bool(random.getrandbits(1    )    )





def lowerCamelCase						(     __lowerCamelCase :    list[list[bool]]    )						->list[list[bool]]:
    _SCREAMING_SNAKE_CASE									=			np.array(__lowerCamelCase    )
    _SCREAMING_SNAKE_CASE									=			np.array(create_canvas(current_canvas.shape[0]    )    )
    for r, row in enumerate(__lowerCamelCase    ):
        for c, pt in enumerate(__lowerCamelCase    ):
            _SCREAMING_SNAKE_CASE									=			__judge_point(
                __lowerCamelCase					,       current_canvas[r - 1 : r + 2, c - 1 : c + 2]    )

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





def lowerCamelCase						(     __lowerCamelCase :    bool					,       __lowerCamelCase :    list[list[bool]]    )						->bool:
    _SCREAMING_SNAKE_CASE									=			0
    _SCREAMING_SNAKE_CASE									=			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.
    _SCREAMING_SNAKE_CASE									=			pt
    if pt:
        if alive < 2:
            _SCREAMING_SNAKE_CASE									=			False
        elif alive == 2 or alive == 3:
            _SCREAMING_SNAKE_CASE									=			True
        elif alive > 3:
            _SCREAMING_SNAKE_CASE									=			False
    else:
        if alive == 3:
            _SCREAMING_SNAKE_CASE									=			True

    return state


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

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



