





'''simple docstring'''




import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout







def _lowerCAmelCase     (      _lowerCAmelCase    )->     Dict:
 __UpperCAmelCase					=   FileLock(str(tmpdir / 'foo.lock'    )    )
 __UpperCAmelCase					=   FileLock(str(tmpdir / 'foo.lock'    )    )
 __UpperCAmelCase					=   0.01
 with locka.acquire():
  with pytest.raises(_lowerCAmelCase    ):
   __UpperCAmelCase					=   time.time()
   locka.acquire(_lowerCAmelCase    )
   assert time.time() - _start > timeout







def _lowerCAmelCase     (      _lowerCAmelCase    )->     Union[str, Any]:
 __UpperCAmelCase					=   'a' * 10_00 + '.lock'
 __UpperCAmelCase					=   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    )    ) <= 2_55
 __UpperCAmelCase					=   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_torch_available


_A:					List[str]							=				{
    """configuration_luke""": ["""LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LukeConfig"""],
    """tokenization_luke""": ["""LukeTokenizer"""],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _A:					Union[str, Any]							=				[
        """LUKE_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """LukeForEntityClassification""",
        """LukeForEntityPairClassification""",
        """LukeForEntitySpanClassification""",
        """LukeForMultipleChoice""",
        """LukeForQuestionAnswering""",
        """LukeForSequenceClassification""",
        """LukeForTokenClassification""",
        """LukeForMaskedLM""",
        """LukeModel""",
        """LukePreTrainedModel""",
    ]


if TYPE_CHECKING:
    from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
    from .tokenization_luke import LukeTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
            LukeForMaskedLM,
            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
            LukeModel,
            LukePreTrainedModel,
        )

else:
    import sys

    _A:					str							=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





