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		:       List[str]									=     "src/transformers"


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

__UpperCamelCase		:       Dict									=     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[str]									=     re.compile(R'\[(.+?)\]\((https://huggingface\.co/.+?)\)')


__UpperCamelCase		:       List[str]									=     {
    "DecisionTransformerConfig",
    "EncoderDecoderConfig",
    "MusicgenConfig",
    "RagConfig",
    "SpeechEncoderDecoderConfig",
    "TimmBackboneConfig",
    "VisionEncoderDecoderConfig",
    "VisionTextDualEncoderConfig",
    "LlamaConfig",
}
def       A	(    _lowercase						):
						SCREAMING_SNAKE_CASE							:    Tuple							=							None

						# source code of `config_class`
						SCREAMING_SNAKE_CASE							:    Dict							=							inspect.getsource(__A						)
						SCREAMING_SNAKE_CASE							:    str							=							_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('''/'''						):
																		SCREAMING_SNAKE_CASE							:    List[Any]							=							ckpt_link[:-1]

												# 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							:    Tuple							=							ckpt_name
																		break

						return checkpoint
def       A	(    ):
						SCREAMING_SNAKE_CASE							:    List[str]							=							[]

						for config_class in list(CONFIG_MAPPING.values()						):
												# Skip deprecated models
												if "models.deprecated" in config_class.__module__:
																		continue
												SCREAMING_SNAKE_CASE							:    Dict							=							get_checkpoint_from_config_class(__A						)

												SCREAMING_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:
												SCREAMING_SNAKE_CASE							:    Optional[Any]							=							'''\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'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase    :							List[str]      =					{
    "configuration_pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
    "processing_pix2struct": ["Pix2StructProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Optional[int]      =					["Pix2StructImageProcessor"]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Tuple      =					[
					    "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "Pix2StructPreTrainedModel",
					    "Pix2StructForConditionalGeneration",
					    "Pix2StructVisionModel",
					    "Pix2StructTextModel",
					]

if TYPE_CHECKING:
					from .configuration_pixastruct import (
					    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    PixaStructConfig,
					    PixaStructTextConfig,
					    PixaStructVisionConfig,
					)
					from .processing_pixastruct import PixaStructProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_pixastruct import PixaStructImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_pixastruct import (
										    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    PixaStructForConditionalGeneration,
										    PixaStructPreTrainedModel,
										    PixaStructTextModel,
										    PixaStructVisionModel,
										)

else:
					import sys

					lowercase    :							List[str]      =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

