



'''simple docstring'''


import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     a_       		=FileLock(str(tmpdir / "foo.lock"       )       )
     a_       		=FileLock(str(tmpdir / "foo.lock"       )       )
     a_       		=0.01
     with locka.acquire():
          with pytest.raises(lowercase__       ):
               a_       		=time.time()
               locka.acquire(lowercase__       )
               assert time.time() - _start > timeout






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     a_       		="a" * 1_0_0_0 + ".lock"
     a_       		=FileLock(str(tmpdir / filename       )       )
     assert locka._lock_file.endswith(".lock"       )
     assert not locka._lock_file.endswith(lowercase__       )
     assert len(os.path.basename(locka._lock_file       )       ) <= 2_5_5
     a_       		=FileLock(tmpdir / filename       )
     with locka.acquire():
          with pytest.raises(lowercase__       ):
               locka.acquire(0       )







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase							       =			{
    '''configuration_timesformer''': ['''TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TimesformerConfig'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			[
      '''TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''TimesformerModel''',
      '''TimesformerForVideoClassification''',
      '''TimesformerPreTrainedModel''',
  ]

if TYPE_CHECKING:
  from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timesformer import (
        TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimesformerForVideoClassification,
        TimesformerModel,
        TimesformerPreTrainedModel,
    )

else:
  import sys

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


