



'''simple docstring'''






import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout


def  snake_case_     (					_lowerCAmelCase  :						Optional[Any]  )      ->   List[str]:
							UpperCAmelCase :       int 							=		FileLock(str(tmpdir / '''foo.lock'''  )  )
							UpperCAmelCase :       int 							=		FileLock(str(tmpdir / '''foo.lock'''  )  )
							UpperCAmelCase :       Tuple 							=		0.0_1
							with locka.acquire():
														with pytest.raises(_lowerCAmelCase  ):
																					UpperCAmelCase :       Tuple 							=		time.time()
																					locka.acquire(_lowerCAmelCase  )
																					assert time.time() - _start > timeout




def  snake_case_     (					_lowerCAmelCase  :						Any  )      ->   List[Any]:
							UpperCAmelCase :       Optional[int] 							=		'''a''' * 1000 + '''.lock'''
							UpperCAmelCase :       str 							=		FileLock(str(tmpdir / filename  )  )
							assert locka._lock_file.endswith('''.lock'''  )
							assert not locka._lock_file.endswith(_lowerCAmelCase  )
							assert len(os.path.basename(locka._lock_file  )  ) <= 255
							UpperCAmelCase :       int 							=		FileLock(tmpdir / filename  )
							with locka.acquire():
														with pytest.raises(_lowerCAmelCase  ):
																					locka.acquire(0  )






"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase__  :  Tuple						     =	{'configuration_vit_mae': ['VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMAEConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  :  List[Any]						     =	[
						    'VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'ViTMAEForPreTraining',
						    'ViTMAELayer',
						    'ViTMAEModel',
						    'ViTMAEPreTrainedModel',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  :  int						     =	[
						    'TFViTMAEForPreTraining',
						    'TFViTMAEModel',
						    'TFViTMAEPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_vit_mae import (
												    VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ViTMAEForPreTraining,
												    ViTMAELayer,
												    ViTMAEModel,
												    ViTMAEPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
						import sys

						lowerCAmelCase__  :  int						     =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



