

"""simple docstring"""





import inspect
import re

from transformers.utils import direct_transformers_import


# 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
__UpperCamelCase    : Optional[int]				 =						'''src/transformers'''


# This is to make sure the transformers module imported is the one in the repo.
__UpperCamelCase    : int				 =						direct_transformers_import(PATH_TO_TRANSFORMERS)

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


__UpperCamelCase    : Dict				 =						{
    '''DecisionTransformerConfig''',
    '''EncoderDecoderConfig''',
    '''MusicgenConfig''',
    '''RagConfig''',
    '''SpeechEncoderDecoderConfig''',
    '''TimmBackboneConfig''',
    '''VisionEncoderDecoderConfig''',
    '''VisionTextDualEncoderConfig''',
    '''LlamaConfig''',
}

def     __SCREAMING_SNAKE_CASE    ( A_					):
	lowerCAmelCase__      :		str    							=      None

	# source code of `config_class`
	lowerCAmelCase__      :		int    							=      inspect.getsource(A_					)
	lowerCAmelCase__      :		Any    							=      _re_checkpoint.findall(A_					)

	# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
	# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
	for ckpt_name, ckpt_link in checkpoints:
		# allow the link to end with `/`
		if ckpt_link.endswith('''/'''					):
			lowerCAmelCase__      :		Any    							=      ckpt_link[:-1]

		# verify the checkpoint name corresponds to the checkpoint link
		lowerCAmelCase__      :		Union[str, Any]    							=      f'https://huggingface.co/{ckpt_name}'
		if ckpt_link == ckpt_link_from_name:
			lowerCAmelCase__      :		Any    							=      ckpt_name
			break

	return checkpoint

def     __SCREAMING_SNAKE_CASE    ( ):
	lowerCAmelCase__      :		Any    							=      []

	for config_class in list(CONFIG_MAPPING.values()					):
		# Skip deprecated models
		if "models.deprecated" in config_class.__module__:
			continue
		lowerCAmelCase__      :		Optional[int]    							=      get_checkpoint_from_config_class(A_					)

		lowerCAmelCase__      :		Tuple    							=      config_class.__name__
		if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
			configs_without_checkpoint.append(A_					)

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


if __name__ == "__main__":
							check_config_docstrings_have_checkpoints()







"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


__UpperCamelCase    : List[str]				 =						logging.get_logger(__name__)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					def __init__(			self     :							Any  ,*lowercase_     :							Dict  ,**lowercase_     :							List[str]						):
						warnings.warn(
						    '''The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
						    ''' Please use ImageGPTImageProcessor instead.'''  ,lowercase_  ,)
						super().__init__(*lowercase_  ,**lowercase_						)




