


'''simple docstring'''


import os
from collections.abc import Iterator






def  __lowerCAmelCase (__lowerCAmelCase = "."   ):
		for dir_path, dir_names, filenames in os.walk(__lowerCAmelCase   ):
				_UpperCAmelCase		:       List[Any]								=      [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(__lowerCAmelCase   )[1] in (".py", ".ipynb"):
								yield os.path.join(__lowerCAmelCase      , __lowerCAmelCase   ).lstrip("./"   )






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






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






def  __lowerCAmelCase (__lowerCAmelCase = "."   ):
		_UpperCAmelCase		:       Tuple								=      ""
		for filepath in sorted(good_file_paths(__lowerCAmelCase   )   ):
				_UpperCAmelCase					,    _UpperCAmelCase		:       List[Any]								=      os.path.split(__lowerCAmelCase   )
				if filepath != old_path:
						_UpperCAmelCase		:       Union[str, Any]								=      print_path(__lowerCAmelCase      , __lowerCAmelCase   )
				_UpperCAmelCase		:       Optional[Any]								=      (filepath.count(os.sep   ) + 1) if filepath else 0
				_UpperCAmelCase		:       Tuple								=      F"""{filepath}/{filename}""".replace(" "      , "%20"   )
				_UpperCAmelCase		:       Any								=      os.path.splitext(filename.replace("_"      , " "   ).title()   )[0]
				print(F"""{md_prefix(__lowerCAmelCase   )} [{filename}]({url})"""   )


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







'''simple docstring'''


# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase__    	=     {'configuration_mra': ['MRA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MraConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     [
						    'MRA_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'MraForMaskedLM',
						    'MraForMultipleChoice',
						    'MraForQuestionAnswering',
						    'MraForSequenceClassification',
						    'MraForTokenClassification',
						    'MraLayer',
						    'MraModel',
						    'MraPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_mra import MRA_PRETRAINED_CONFIG_ARCHIVE_MAP, MraConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mra import (
												    MRA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MraForMaskedLM,
												    MraForMultipleChoice,
												    MraForQuestionAnswering,
												    MraForSequenceClassification,
												    MraForTokenClassification,
												    MraLayer,
												    MraModel,
												    MraPreTrainedModel,
												)
else:
						import sys

						lowerCamelCase__    	=     _LazyModule(__name__, globals()['__file__'], _import_structure)



