
'''simple docstring'''





import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


UpperCAmelCase    					=   "scheduler_config.json"

class 						a   (				__magic_name__    ):
				_snake_case		    = 1
				_snake_case		    = 2
				_snake_case		    = 3
				_snake_case		    = 4
				_snake_case		    = 5
				_snake_case		    = 6
				_snake_case		    = 7
				_snake_case		    = 8
				_snake_case		    = 9
				_snake_case		    = 10
				_snake_case		    = 11
				_snake_case		    = 12
				_snake_case		    = 13
				_snake_case		    = 14




@dataclass
class 						a   (				__magic_name__    ):
				_snake_case		    = 42




class 						a   :
				_snake_case		    = SCHEDULER_CONFIG_NAME
				_snake_case		    = []
				_snake_case		    = True




				@classmethod
				def 	__snake_case							(							cls	:				List[Any],    SCREAMING_SNAKE_CASE_	:				Dict[str, Any] = None,    SCREAMING_SNAKE_CASE_	:				Optional[str] = None,    SCREAMING_SNAKE_CASE_	:				Optional[Any]=False,    **SCREAMING_SNAKE_CASE_	:				str,    ):
										snake_case,					snake_case,					snake_case       :     List[str] =    cls.load_config(
										    pretrained_model_name_or_path=SCREAMING_SNAKE_CASE_,    subfolder=SCREAMING_SNAKE_CASE_,    return_unused_kwargs=SCREAMING_SNAKE_CASE_,    return_commit_hash=SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_,    )
										return cls.from_config(SCREAMING_SNAKE_CASE_,    return_unused_kwargs=SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				Optional[Any],    SCREAMING_SNAKE_CASE_	:				Union[str, os.PathLike],    SCREAMING_SNAKE_CASE_	:				bool = False,    **SCREAMING_SNAKE_CASE_	:				Optional[int]      ):
										self.save_config(save_directory=SCREAMING_SNAKE_CASE_,    push_to_hub=SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )




				@property
				def 	__snake_case							(							self	:				Tuple      ):
										return self._get_compatibles()




				@classmethod
				def 	__snake_case							(							cls	:				List[Any]      ):
										snake_case       :     List[str] =    list(set([cls.__name__] + cls._compatibles      )      )
										snake_case       :     Tuple =    importlib.import_module(__name__.split('''.'''      )[0]      )
										snake_case       :     List[str] =    [
										    getattr(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      ) for c in compatible_classes_str if hasattr(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )
										]
										return compatible_classes



'''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    					=   "src/transformers"


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

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


UpperCAmelCase    					=   {
    "DecisionTransformerConfig",
    "EncoderDecoderConfig",
    "MusicgenConfig",
    "RagConfig",
    "SpeechEncoderDecoderConfig",
    "TimmBackboneConfig",
    "VisionEncoderDecoderConfig",
    "VisionTextDualEncoderConfig",
    "LlamaConfig",
}

def      A (       A_							:					Union[str, Any]       ):
						snake_case       :     Tuple =    None

						# source code of `config_class`
						snake_case       :     Union[str, Any] =    inspect.getsource(A_       )
						snake_case       :     List[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('''/'''       ):
																		snake_case       :     Optional[int] =    ckpt_link[:-1]

												# verify the checkpoint name corresponds to the checkpoint link
												snake_case       :     Dict =    F"""https://huggingface.co/{ckpt_name}"""
												if ckpt_link == ckpt_link_from_name:
																		snake_case       :     Dict =    ckpt_name
																		break

						return checkpoint

def      A (       ):
						snake_case       :     List[str] =    []

						for config_class in list(CONFIG_MAPPING.values()       ):
												# Skip deprecated models
												if "models.deprecated" in config_class.__module__:
																		continue
												snake_case       :     Tuple =    get_checkpoint_from_config_class(A_       )

												snake_case       :     Optional[Any] =    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:
												snake_case       :     Optional[int] =    '''\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()

