



'''simple docstring'''



from typing import TYPE_CHECKING

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


lowerCAmelCase_     :       Dict								=						{'configuration_swin': ['SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SwinConfig', 'SwinOnnxConfig']}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       Dict								=						[
							    'SWIN_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'SwinForImageClassification',
							    'SwinForMaskedImageModeling',
							    'SwinModel',
							    'SwinPreTrainedModel',
							    'SwinBackbone',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       Any								=						[
							    'TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TFSwinForImageClassification',
							    'TFSwinForMaskedImageModeling',
							    'TFSwinModel',
							    'TFSwinPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_swin import (
														    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    SwinBackbone,
														    SwinForImageClassification,
														    SwinForMaskedImageModeling,
														    SwinModel,
														    SwinPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_swin import (
														    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFSwinForImageClassification,
														    TFSwinForMaskedImageModeling,
														    TFSwinModel,
														    TFSwinPreTrainedModel,
														)

else:
							import sys

							lowerCAmelCase_     :       Any								=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)









'''simple docstring'''



import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
lowerCAmelCase_     :       Optional[Any]								=						'.'


if __name__ == "__main__":
							lowerCAmelCase_     :       Optional[Any]								=						os.path.join(REPO_PATH, 'utils/documentation_tests.txt')
							lowerCAmelCase_     :       Dict								=						[]
							lowerCAmelCase_     :       Any								=						[]
							with open(doctest_file_path) as fp:
														for line in fp:
																					lowerCAmelCase_     :       List[str]								=						line.strip()
																					lowerCAmelCase_     :       Optional[Any]								=						os.path.join(REPO_PATH, line)
																					if not (os.path.isfile(path) or os.path.isdir(path)):
																												non_existent_paths.append(line)
																					all_paths.append(path)
							if len(non_existent_paths) > 0:
														lowerCAmelCase_     :       Dict								=						'\n'.join(non_existent_paths)
														raise ValueError(f'`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}')
							if all_paths != sorted(all_paths):
														raise ValueError('Files in `utils/documentation_tests.txt` are not in alphabetical order.')




