


"""simple docstring"""







import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout


def      lowercase			(				A_       )->      Any:
  '''simple docstring'''







  a						:		Tuple      							=			FileLock(str(tmpdir / "foo.lock"       )       )
  a						:		Tuple      							=			FileLock(str(tmpdir / "foo.lock"       )       )
  a						:		List[str]      							=			0.0_1
  with locka.acquire():
    with pytest.raises(A_       ):
      a						:		Tuple      							=			time.time()
      locka.acquire(A_       )
      assert time.time() - _start > timeout







def      lowercase			(				A_       )->      Optional[int]:
  '''simple docstring'''







  a						:		Optional[Any]      							=			"a" * 1_000 + ".lock"
  a						:		Dict      							=			FileLock(str(tmpdir / filename       )       )
  assert locka._lock_file.endswith(".lock"       )
  assert not locka._lock_file.endswith(A_       )
  assert len(os.path.basename(locka._lock_file       )       ) <= 255
  a						:		int      							=			FileLock(tmpdir / filename       )
  with locka.acquire():
    with pytest.raises(A_       ):
      locka.acquire(0       )











"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__a      =				{"configuration_reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"]}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				["ReformerTokenizer"]

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				["ReformerTokenizerFast"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				[
						    "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "ReformerAttention",
						    "ReformerForMaskedLM",
						    "ReformerForQuestionAnswering",
						    "ReformerForSequenceClassification",
						    "ReformerLayer",
						    "ReformerModel",
						    "ReformerModelWithLMHead",
						    "ReformerPreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_reformer import ReformerTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_reformer_fast import ReformerTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_reformer import (
												    REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ReformerAttention,
												    ReformerForMaskedLM,
												    ReformerForQuestionAnswering,
												    ReformerForSequenceClassification,
												    ReformerLayer,
												    ReformerModel,
												    ReformerModelWithLMHead,
												    ReformerPreTrainedModel,
												)

else:
						import sys

						__a      =				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
