
"""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
_a      :			str					=							"""src/transformers"""


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

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


_a      :			List[str]					=							{
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}
def 				a__   (   a   :				Optional[Any]		):

		"""simple docstring"""







		_snake_case     :						List[Any]						=   None

		# source code of `config_class`
		_snake_case     :						List[Any]						=   inspect.getsource(__a		)
		_snake_case     :						Dict						=   _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     :						List[str]						=   ckpt_link[:-1]

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

		return checkpoint
def 				a__   (   ):

		"""simple docstring"""







		_snake_case     :						Dict						=   []

		for config_class in list(CONFIG_MAPPING.values()		):
				# Skip deprecated models
				if "models.deprecated" in config_class.__module__:
						continue
				_snake_case     :						Union[str, Any]						=   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     :						Tuple						=   "\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


_a      :			Optional[int]					=							{
    """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:
    _a      :			List[Any]					=							["""Pix2StructImageProcessor"""]


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _a      :			Dict					=							[
        """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

    _a      :			Optional[int]					=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

