






import importlib
import inspect
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
A_						:						Dict						      =					'src/transformers'


# This is to make sure the transformers module imported is the one in the repo.
A_						:						str						      =					importlib.util.spec_from_file_location(
    'transformers',
    os.path.join(PATH_TO_TRANSFORMERS, '__init__.py'),
    submodule_search_locations=[PATH_TO_TRANSFORMERS],
)
A_						:						Tuple						      =					spec.loader.load_module()

A_						:						str						      =					transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
A_						:						Any						      =					re.compile('\[(.+?)\]\((https://huggingface\.co/.+?)\)')


A_						:						Optional[int]						      =					{
    'CLIPConfigMixin',
    'DecisionTransformerConfigMixin',
    'EncoderDecoderConfigMixin',
    'RagConfigMixin',
    'SpeechEncoderDecoderConfigMixin',
    'VisionEncoderDecoderConfigMixin',
    'VisionTextDualEncoderConfigMixin',
}

def     snake_case   ()			->							Optional[Any]:
  UpperCamelCase_:   str        =							[]

  for config_class in list(CONFIG_MAPPING.values()    ):
    UpperCamelCase_:   int        =							False

    # source code of `config_class`
    UpperCamelCase_:   int        =							inspect.getsource(UpperCAmelCase__    )
    UpperCamelCase_:   List[Any]        =							_re_checkpoint.findall(UpperCAmelCase__    )

    for checkpoint in checkpoints:
      # Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
      # For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
      UpperCamelCase_ ,UpperCamelCase_:   int        =							checkpoint

      # verify the checkpoint name corresponds to the checkpoint link
      UpperCamelCase_:   List[str]        =							F'''https://huggingface.co/{ckpt_name}'''
      if ckpt_link == ckpt_link_from_name:
        UpperCamelCase_:   Optional[Any]        =							True
        break

    UpperCamelCase_:   Tuple        =							config_class.__name__
    if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
      configs_without_checkpoint.append(UpperCAmelCase__    )

  if len(UpperCAmelCase__    ) > 0:
    UpperCamelCase_:   List[Any]        =							'\n'.join(sorted(UpperCAmelCase__    )    )
    raise ValueError(F'''The following configurations don\'t contain any valid checkpoint:\n{message}'''    )


if __name__ == "__main__":
   check_config_docstrings_have_checkpoints()

'''simple docstring'''



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


_lowercase          =						logging.get_logger(__name__)

_lowercase          =						{
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						_lowercase						: str										=  '''dpr'''




						def __init__(   self       ,  _lowercase=30_522       ,  _lowercase=768       ,  _lowercase=12       ,  _lowercase=12       ,  _lowercase=3_072       ,  _lowercase="gelu"       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=512       ,  _lowercase=2       ,  _lowercase=0.02       ,  _lowercase=1e-12       ,  _lowercase=0       ,  _lowercase="absolute"       ,  _lowercase = 0       ,  **_lowercase       ,  ):

												"""simple docstring"""



												super().__init__(pad_token_id=_lowercase       ,  **_lowercase )

												_lowerCAmelCase    		=					vocab_size
												_lowerCAmelCase    		=					hidden_size
												_lowerCAmelCase    		=					num_hidden_layers
												_lowerCAmelCase    		=					num_attention_heads
												_lowerCAmelCase    		=					hidden_act
												_lowerCAmelCase    		=					intermediate_size
												_lowerCAmelCase    		=					hidden_dropout_prob
												_lowerCAmelCase    		=					attention_probs_dropout_prob
												_lowerCAmelCase    		=					max_position_embeddings
												_lowerCAmelCase    		=					type_vocab_size
												_lowerCAmelCase    		=					initializer_range
												_lowerCAmelCase    		=					layer_norm_eps
												_lowerCAmelCase    		=					projection_dim
												_lowerCAmelCase    		=					position_embedding_type
