





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
_lowerCamelCase :    Union[str, Any]  							= '''src/transformers'''


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

_lowerCamelCase :    Optional[Any]  							= 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)`
_lowerCamelCase :    Any  							= re.compile('''\[(.+?)\]\((https://huggingface\.co/.+?)\)''')


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




def _a (  )	->    Optional[int]:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      str     =						[]

							for config_class in list(CONFIG_MAPPING.values()       ):
														SCREAMING_SNAKE_CASE__       :      Any     =						False

														# source code of `config_class`
														SCREAMING_SNAKE_CASE__       :      int     =						inspect.getsource(SCREAMING_SNAKE_CASE__       )
														SCREAMING_SNAKE_CASE__       :      Optional[int]     =						_re_checkpoint.findall(SCREAMING_SNAKE_CASE__       )

														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')`
																					SCREAMING_SNAKE_CASE__       :      List[str]     =						checkpoint

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

														SCREAMING_SNAKE_CASE__       :      List[Any]     =						config_class.__name__
														if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
																					configs_without_checkpoint.append(SCREAMING_SNAKE_CASE__       )

							if len(SCREAMING_SNAKE_CASE__       ) > 0:
														SCREAMING_SNAKE_CASE__       :      str     =						"\n".join(sorted(SCREAMING_SNAKE_CASE__       )       )
														raise ValueError(f'''The following configurations don\'t contain any valid checkpoint:\n{message}'''       )


if __name__ == "__main__":
		check_config_docstrings_have_checkpoints()













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase :    Union[str, Any]  							= {
    '''configuration_bigbird_pegasus''': [
        '''BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BigBirdPegasusConfig''',
        '''BigBirdPegasusOnnxConfig''',
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase :    int  							= [
		    '''BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BigBirdPegasusForCausalLM''',
		    '''BigBirdPegasusForConditionalGeneration''',
		    '''BigBirdPegasusForQuestionAnswering''',
		    '''BigBirdPegasusForSequenceClassification''',
		    '''BigBirdPegasusModel''',
		    '''BigBirdPegasusPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_bigbird_pegasus import (
		    BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    BigBirdPegasusConfig,
		    BigBirdPegasusOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bigbird_pegasus import (
				    BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BigBirdPegasusForCausalLM,
				    BigBirdPegasusForConditionalGeneration,
				    BigBirdPegasusForQuestionAnswering,
				    BigBirdPegasusForSequenceClassification,
				    BigBirdPegasusModel,
				    BigBirdPegasusPreTrainedModel,
				)


else:
		import sys

		_lowerCamelCase :    Optional[Any]  							= _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






