




import argparse
from collections import defaultdict

import yaml


lowercase__  		=		"""docs/source/en/_toctree.yml"""







def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    List[str]					=					defaultdict(lowercase__	)
				for doc in model_doc:
								counts[doc["local"]] += 1
				_lowerCamelCase  :    List[str]					=					[key for key, value in counts.items() if value > 1]

				_lowerCamelCase  :    List[Any]					=					[]
				for duplicate_key in duplicates:
								_lowerCamelCase  :    Any					=					list({doc['title'] for doc in model_doc if doc['local'] == duplicate_key}	)
								if len(lowercase__	) > 1:
												raise ValueError(
												    f'''{duplicate_key} is present several times in the documentation table of content at '''
												    '`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '
												    'others.'	)
								# Only add this once
								new_doc.append({'local': duplicate_key, 'title': titles[0]}	)

				# Add none duplicate-keys
				new_doc.extend([doc for doc in model_doc if counts[doc['local']] == 1]	)

				# Sort
				return sorted(lowercase__							,					key=lambda lowercase__	: s["title"].lower()	)







def   _snake_case    (       lowercase__=False	):
				with open(lowercase__							,					encoding='utf-8'	) as f:
								_lowerCamelCase  :    Union[str, Any]					=					yaml.safe_load(f.read()	)

				# Get to the API doc
				_lowerCamelCase  :    Dict					=					0
				while content[api_idx]["title"] != "API":
								api_idx += 1
				_lowerCamelCase  :    int					=					content[api_idx]['sections']

				# Then to the model doc
				_lowerCamelCase  :    Optional[int]					=					0
				while api_doc[model_idx]["title"] != "Models":
								model_idx += 1

				_lowerCamelCase  :    Tuple					=					api_doc[model_idx]['sections']

				_lowerCamelCase  :    List[Any]					=					[(idx, section) for idx, section in enumerate(lowercase__	) if 'sections' in section]
				_lowerCamelCase  :    List[Any]					=					False
				for idx, modality_doc in modalities_docs:
								_lowerCamelCase  :    Tuple					=					modality_doc['sections']
								_lowerCamelCase  :    List[str]					=					clean_model_doc_toc(lowercase__	)

								if old_modality_doc != new_modality_doc:
												_lowerCamelCase  :    Union[str, Any]					=					True
												if overwrite:
																_lowerCamelCase  :    List[str]					=					new_modality_doc

				if diff:
								if overwrite:
												_lowerCamelCase  :    List[Any]					=					model_doc
												_lowerCamelCase  :    int					=					api_doc
												with open(lowercase__							,					'w'							,					encoding='utf-8'	) as f:
																f.write(yaml.dump(lowercase__							,					allow_unicode=lowercase__	)	)
								else:
												raise ValueError(
												    'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'	)


if __name__ == "__main__":
			lowercase__  		=		argparse.ArgumentParser()
			parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
			lowercase__  		=		parser.parse_args()

			check_model_doc(args.fix_and_overwrite)





"""simple docstring"""






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


lowercase__  		=		logging.get_logger(__name__)

lowercase__  		=		{
    """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__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    """realm"""
			def __init__(						self						,   lowercase=30522						,   lowercase=768						,   lowercase=128						,   lowercase=12						,   lowercase=12						,   lowercase=8						,   lowercase=3072						,   lowercase="gelu_new"						,   lowercase=0.1						,   lowercase=0.1						,   lowercase=512						,   lowercase=2						,   lowercase=0.02						,   lowercase=1E-12						,   lowercase=256						,   lowercase=10						,   lowercase=1E-3						,   lowercase=5						,   lowercase=320						,   lowercase=13353718						,   lowercase=5000						,   lowercase=1						,   lowercase=0						,   lowercase=2						,   **lowercase						,   ):
							super().__init__(pad_token_id=lowercase						,   bos_token_id=lowercase						,   eos_token_id=lowercase						,   **lowercase						)

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

							# Reader config
							_lowerCamelCase  :    Tuple					=					span_hidden_size
							_lowerCamelCase  :    int					=					max_span_width
							_lowerCamelCase  :    Tuple					=					reader_layer_norm_eps
							_lowerCamelCase  :    Union[str, Any]					=					reader_beam_size
							_lowerCamelCase  :    Union[str, Any]					=					reader_seq_len

							# Retrieval config
							_lowerCamelCase  :    Optional[Any]					=					num_block_records
							_lowerCamelCase  :    str					=					searcher_beam_size