





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


_UpperCamelCase				=       logging.get_logger(__name__)

_UpperCamelCase				=       {
    '''google/realm-cc-news-pretrained-embedder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-encoder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-scorer''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-openqa''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'''
    ),
    '''google/realm-orqa-nq-openqa''': '''https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-nq-reader''': '''https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json''',
    '''google/realm-orqa-wq-openqa''': '''https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-wq-reader''': '''https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json''',
    # See all REALM models at https://huggingface.co/models?filter=realm
}




class  _lowerCamelCase       (			UpperCAmelCase_			):



      """simple docstring"""






      UpperCAmelCase_  :					Any      			="""realm"""







      def __init__(       self ,  UpperCAmelCase=30522 ,  UpperCAmelCase=768 ,  UpperCAmelCase=128 ,  UpperCAmelCase=12 ,  UpperCAmelCase=12 ,  UpperCAmelCase=8 ,  UpperCAmelCase=3072 ,  UpperCAmelCase="gelu_new" ,  UpperCAmelCase=0.1 ,  UpperCAmelCase=0.1 ,  UpperCAmelCase=512 ,  UpperCAmelCase=2 ,  UpperCAmelCase=0.02 ,  UpperCAmelCase=1E-12 ,  UpperCAmelCase=256 ,  UpperCAmelCase=10 ,  UpperCAmelCase=1E-3 ,  UpperCAmelCase=5 ,  UpperCAmelCase=320 ,  UpperCAmelCase=13353718 ,  UpperCAmelCase=5000 ,  UpperCAmelCase=1 ,  UpperCAmelCase=0 ,  UpperCAmelCase=2 ,  **UpperCAmelCase ,  )				->      Tuple:






        '''simple docstring'''






        super().__init__(pad_token_id=__lowercase ,  bos_token_id=__lowercase ,  eos_token_id=__lowercase ,  **__lowercase      )

        # Common config
        __snake_case      : Union[str, Any]						=				vocab_size
        __snake_case      : int						=				max_position_embeddings
        __snake_case      : List[Any]						=				hidden_size
        __snake_case      : List[str]						=				retriever_proj_size
        __snake_case      : int						=				num_hidden_layers
        __snake_case      : str						=				num_attention_heads
        __snake_case      : List[str]						=				num_candidates
        __snake_case      : List[Any]						=				intermediate_size
        __snake_case      : List[str]						=				hidden_act
        __snake_case      : List[Any]						=				hidden_dropout_prob
        __snake_case      : int						=				attention_probs_dropout_prob
        __snake_case      : List[Any]						=				initializer_range
        __snake_case      : Dict						=				type_vocab_size
        __snake_case      : List[str]						=				layer_norm_eps

        # Reader config
        __snake_case      : List[Any]						=				span_hidden_size
        __snake_case      : int						=				max_span_width
        __snake_case      : List[str]						=				reader_layer_norm_eps
        __snake_case      : Optional[int]						=				reader_beam_size
        __snake_case      : Optional[Any]						=				reader_seq_len

        # Retrieval config
        __snake_case      : str						=				num_block_records
        __snake_case      : Any						=				searcher_beam_size


from __future__ import annotations

from PIL import Image

# Define glider example
__lowercase							 =					[
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
__lowercase							 =					[[0, 1, 0], [0, 1, 0], [0, 1, 0]]



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :int			  =		[]
    for i in range(len(SCREAMING_SNAKE_CASE	)	):
        __UpperCamelCase     :Dict			  =		[]
        for j in range(len(cells[i]	)	):
            # Get the number of live neighbours
            __UpperCamelCase     :List[str]			  =		0
            if i > 0 and j > 0:
                neighbour_count += cells[i - 1][j - 1]
            if i > 0:
                neighbour_count += cells[i - 1][j]
            if i > 0 and j < len(cells[i]	) - 1:
                neighbour_count += cells[i - 1][j + 1]
            if j > 0:
                neighbour_count += cells[i][j - 1]
            if j < len(cells[i]	) - 1:
                neighbour_count += cells[i][j + 1]
            if i < len(SCREAMING_SNAKE_CASE	) - 1 and j > 0:
                neighbour_count += cells[i + 1][j - 1]
            if i < len(SCREAMING_SNAKE_CASE	) - 1:
                neighbour_count += cells[i + 1][j]
            if i < len(SCREAMING_SNAKE_CASE	) - 1 and j < len(cells[i]	) - 1:
                neighbour_count += cells[i + 1][j + 1]

            # Rules of the game of life (excerpt from Wikipedia):
            # 1. Any live cell with two or three live neighbours survives.
            # 2. Any dead cell with three live neighbours becomes a live cell.
            # 3. All other live cells die in the next generation.
            #    Similarly, all other dead cells stay dead.
            __UpperCamelCase     :List[str]			  =		cells[i][j] == 1
            if (
                (alive and 2 <= neighbour_count <= 3)
                or not alive
                and neighbour_count == 3
            ):
                next_generation_row.append(1	)
            else:
                next_generation_row.append(0	)

        next_generation.append(SCREAMING_SNAKE_CASE	)
    return next_generation



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Optional[Any]			  =		[]
    for _ in range(SCREAMING_SNAKE_CASE	):
        # Create output image
        __UpperCamelCase     :Dict			  =		Image.new('''RGB'''  ,			(len(cells[0]	), len(SCREAMING_SNAKE_CASE	))	)
        __UpperCamelCase     :Any			  =		img.load()

        # Save cells to image
        for x in range(len(SCREAMING_SNAKE_CASE	)	):
            for y in range(len(cells[0]	)	):
                __UpperCamelCase     :Optional[Any]			  =		255 - cells[y][x] * 255
                __UpperCamelCase     :int			  =		(colour, colour, colour)

        # Save image
        images.append(SCREAMING_SNAKE_CASE	)
        __UpperCamelCase     :Optional[int]			  =		new_generation(SCREAMING_SNAKE_CASE	)
    return images


if __name__ == "__main__":
    __lowercase							 =					generate_images(GLIDER, 16)
    images[0].save('''out.gif''', save_all=True, append_images=images[1:])





