


'''simple docstring'''





import os
from collections.abc import Iterator


def 			UpperCAmelCase_				(      UpperCAmelCase__ = "."  ):



					for dir_path, dir_names, filenames in os.walk(A__  ):
										lowercase_  							=			[d for d in dir_names if d != """scripts""" and d[0] not in """._"""]
										for filename in filenames:
															if filename == "__init__.py":
																				continue
															if os.path.splitext(A__  )[1] in (".py", ".ipynb"):
																				yield os.path.join(A__						,							A__  ).lstrip("""./"""  )


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					return F'''{i * "  "}*''' if i else "\n##"


def 			UpperCAmelCase_				(      UpperCAmelCase__						,							UpperCAmelCase__  ):
					lowercase_  							=			old_path.split(os.sep  )
					for i, new_part in enumerate(new_path.split(os.sep  )  ):
										if (i + 1 > len(A__  ) or old_parts[i] != new_part) and new_part:
															print(F'''{md_prefix(A__  )} {new_part.replace("_"						,							" "  ).title()}'''  )
					return new_path


def 			UpperCAmelCase_				(      UpperCAmelCase__ = "."  ):
					lowercase_  							=			""""""
					for filepath in sorted(good_file_paths(A__  )  ):
										lowercase_							,					lowercase_  							=			os.path.split(A__  )
										if filepath != old_path:
															lowercase_  							=			print_path(A__						,							A__  )
										lowercase_  							=			(filepath.count(os.sep  ) + 1) if filepath else 0
										lowercase_  							=			F'''{filepath}/{filename}'''.replace(""" """						,							"""%20"""  )
										lowercase_  							=			os.path.splitext(filename.replace("""_"""						,							""" """  ).title()  )[0]
										print(F'''{md_prefix(A__  )} [{filename}]({url})'''  )


if __name__ == "__main__":
							print_directory_md('.')






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


a					  =     {
    'configuration_trocr': ['TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TrOCRConfig'],
    'processing_trocr': ['TrOCRProcessor'],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a					  =     [
							    'TROCR_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TrOCRForCausalLM',
							    'TrOCRPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
							from .processing_trocr import TrOCRProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
							import sys

							a					  =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


