





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


snake_case								=							logging.get_logger(__name__)

snake_case								=							{
    """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 					A_					(   UpperCAmelCase						):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_   :			int  			=	'''realm'''







       def __init__(     self						:						Tuple    ,__A						:						List[str]=3_0522    ,__A						:						Any=768    ,__A						:						Dict=128    ,__A						:						List[Any]=12    ,__A						:						Dict=12    ,__A						:						Union[str, Any]=8    ,__A						:						Optional[Any]=3072    ,__A						:						Optional[Any]="gelu_new"    ,__A						:						str=0.1    ,__A						:						Dict=0.1    ,__A						:						Optional[int]=512    ,__A						:						Any=2    ,__A						:						List[Any]=0.02    ,__A						:						Any=1e-12    ,__A						:						List[str]=256    ,__A						:						Any=10    ,__A						:						int=1e-3    ,__A						:						Union[str, Any]=5    ,__A						:						List[Any]=320    ,__A						:						List[Any]=1335_3718    ,__A						:						Tuple=5000    ,__A						:						str=1    ,__A						:						Dict=0    ,__A						:						int=2    ,**__A						:						Dict    ,)    ->       Optional[int]:
         super().__init__(pad_token_id=__A    ,bos_token_id=__A    ,eos_token_id=__A    ,**__A	)

         # Common config
         _lowercase						    =			vocab_size
         _lowercase						    =			max_position_embeddings
         _lowercase						    =			hidden_size
         _lowercase						    =			retriever_proj_size
         _lowercase						    =			num_hidden_layers
         _lowercase						    =			num_attention_heads
         _lowercase						    =			num_candidates
         _lowercase						    =			intermediate_size
         _lowercase						    =			hidden_act
         _lowercase						    =			hidden_dropout_prob
         _lowercase						    =			attention_probs_dropout_prob
         _lowercase						    =			initializer_range
         _lowercase						    =			type_vocab_size
         _lowercase						    =			layer_norm_eps

         # Reader config
         _lowercase						    =			span_hidden_size
         _lowercase						    =			max_span_width
         _lowercase						    =			reader_layer_norm_eps
         _lowercase						    =			reader_beam_size
         _lowercase						    =			reader_seq_len

         # Retrieval config
         _lowercase						    =			num_block_records
         _lowercase						    =			searcher_beam_size


"""simple docstring"""





def     __SCREAMING_SNAKE_CASE    ( A_					):
	for i in range(len(A_					) - 1		,	0		,	-1					):
		lowerCAmelCase__      :		Optional[Any]    							=      False

		for j in range(A_		,	0		,	-1					):
			if unsorted[j] < unsorted[j - 1]:
				lowerCAmelCase__							,lowerCAmelCase__      :		Union[str, Any]    							=      unsorted[j - 1], unsorted[j]
				lowerCAmelCase__      :		Dict    							=      True

		for j in range(A_					):
			if unsorted[j] > unsorted[j + 1]:
				lowerCAmelCase__							,lowerCAmelCase__      :		Union[str, Any]    							=      unsorted[j + 1], unsorted[j]
				lowerCAmelCase__      :		Any    							=      True

		if not swapped:
			break
	return unsorted


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							__UpperCamelCase    : int				 =						input('''Enter numbers separated by a comma:\n''').strip()
							__UpperCamelCase    : Optional[Any]				 =						[int(item) for item in user_input.split(''',''')]
							print(F'''{cocktail_shaker_sort(unsorted) = }''')




