



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__			= """src/transformers"""


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

lowerCamelCase__			= 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__			= re.compile("""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


lowerCamelCase__			= {
    """CLIPConfigMixin""",
    """DecisionTransformerConfigMixin""",
    """EncoderDecoderConfigMixin""",
    """RagConfigMixin""",
    """SpeechEncoderDecoderConfigMixin""",
    """VisionEncoderDecoderConfigMixin""",
    """VisionTextDualEncoderConfigMixin""",
}

def   lowerCAmelCase__						(							):
				"""simple docstring"""







				__a       =		[]

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

								# source code of `config_class`
								__a       =		inspect.getsource(_SCREAMING_SNAKE_CASE    )
								__a       =		_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')`
												__a     ,					__a       =		checkpoint

												# verify the checkpoint name corresponds to the checkpoint link
												__a       =		f"https://huggingface.co/{ckpt_name}"
												if ckpt_link == ckpt_link_from_name:
																__a       =		True
																break

								__a       =		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:
								__a       =		"""\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 __future__ import annotations

from collections import Counter
from random import random






class    SCREAMING_SNAKE_CASE			:





							def __init__(   self		:		Optional[Any]	):

											'''simple docstring'''
											__a       =		{}





							def 						UpperCamelCase_					(   self		:		Dict      ,				__lowercase		:		str	):

											'''simple docstring'''
											__a       =		{}





							def 						UpperCamelCase_					(   self		:		List[str]      ,				__lowercase		:		str      ,				__lowercase		:		str      ,				__lowercase		:		float	):

											'''simple docstring'''
											if nodea not in self.connections:
															self.add_node(__lowercase	)
											if nodea not in self.connections:
															self.add_node(__lowercase	)
											__a       =		probability





							def 						UpperCamelCase_					(   self		:		Union[str, Any]	):

											'''simple docstring'''
											return list(self.connections	)







							def 						UpperCamelCase_					(   self		:		Tuple      ,				__lowercase		:		str	):

											'''simple docstring'''
											__a       =		0
											__a       =		random()

											for dest in self.connections[node]:
															current_probability += self.connections[node][dest]
															if current_probability > random_value:
																			return dest
											return ""



def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			list[tuple[str, str, float]]				,     _SCREAMING_SNAKE_CASE       :			int    ):
				"""simple docstring"""







				__a       =		MarkovChainGraphUndirectedUnweighted()

				for nodea, nodea, probability in transitions:
								graph.add_transition_probability(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )

				__a       =		Counter(graph.get_nodes()    )
				__a       =		start

				for _ in range(_SCREAMING_SNAKE_CASE    ):
								__a       =		graph.transition(_SCREAMING_SNAKE_CASE    )
								visited[node] += 1

				return visited


if __name__ == "__main__":
						import doctest

						doctest.testmod()
