




"""simple docstring"""

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


a							      =     logging.get_logger(__name__)

a							      =     {
    """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 							lowercase_			(	lowerCamelCase__				):



 '''simple docstring'''
 UpperCAmelCase       :	Optional[Any]     =      '''realm'''

 def __init__(					self			:			Tuple       ,				_UpperCAmelCase			:			Optional[int]=30_522       ,				_UpperCAmelCase			:			int=768       ,				_UpperCAmelCase			:			Union[str, Any]=128       ,				_UpperCAmelCase			:			List[str]=12       ,				_UpperCAmelCase			:			Any=12       ,				_UpperCAmelCase			:			Dict=8       ,				_UpperCAmelCase			:			Optional[int]=3_072       ,				_UpperCAmelCase			:			List[str]="gelu_new"       ,				_UpperCAmelCase			:			Dict=0.1       ,				_UpperCAmelCase			:			int=0.1       ,				_UpperCAmelCase			:			int=512       ,				_UpperCAmelCase			:			Tuple=2       ,				_UpperCAmelCase			:			Dict=0.02       ,				_UpperCAmelCase			:			int=1E-1_2       ,				_UpperCAmelCase			:			List[str]=256       ,				_UpperCAmelCase			:			int=10       ,				_UpperCAmelCase			:			Optional[Any]=1E-3       ,				_UpperCAmelCase			:			str=5       ,				_UpperCAmelCase			:			int=320       ,				_UpperCAmelCase			:			str=13_353_718       ,				_UpperCAmelCase			:			int=5_000       ,				_UpperCAmelCase			:			List[Any]=1       ,				_UpperCAmelCase			:			Optional[Any]=0       ,				_UpperCAmelCase			:			Tuple=2       ,				**_UpperCAmelCase			:			Any       ,				):
       super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__       ,				bos_token_id=SCREAMING_SNAKE_CASE__       ,				eos_token_id=SCREAMING_SNAKE_CASE__       ,				**SCREAMING_SNAKE_CASE__						)

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

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

       # Retrieval config
       _A     =  num_block_records
       _A     =  searcher_beam_size





"""simple docstring"""






def 				A_       ( snake_case__       ,					snake_case__ = " "		)					->  list:
			_UpperCamelCase					:List[str]					     =	[]

			_UpperCamelCase					:int					     =	0
			for index, char in enumerate(snake_case__		):
						if char == separator:
									split_words.append(string[last_index:index]		)
									_UpperCamelCase					:Dict					     =	index + 1
						elif index + 1 == len(snake_case__		):
									split_words.append(string[last_index : index + 1]		)
			return split_words


if __name__ == "__main__":
					from doctest import testmod

					testmod()

