'''simple docstring'''


import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout

def   A_      (       SCREAMING_SNAKE_CASE_						)			->Union[str, Any]:
  lowercase_     =       FileLock(str(tmpdir / """foo.lock"""						)						)
  lowercase_     =       FileLock(str(tmpdir / """foo.lock"""						)						)
  lowercase_     =       0.01
  with locka.acquire():
    with pytest.raises(SCREAMING_SNAKE_CASE_						):
      lowercase_     =       time.time()
      locka.acquire(SCREAMING_SNAKE_CASE_						)
      assert time.time() - _start > timeout




def   A_      (       SCREAMING_SNAKE_CASE_						)			->List[Any]:
  lowercase_     =       """a""" * 10_00 + """.lock"""
  lowercase_     =       FileLock(str(tmpdir / filename						)						)
  assert locka._lock_file.endswith(""".lock"""						)
  assert not locka._lock_file.endswith(SCREAMING_SNAKE_CASE_						)
  assert len(os.path.basename(locka._lock_file						)						) <= 2_55
  lowercase_     =       FileLock(tmpdir / filename						)
  with locka.acquire():
    with pytest.raises(SCREAMING_SNAKE_CASE_						):
      locka.acquire(0						)


'''simple docstring'''


from typing import TYPE_CHECKING

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


__snake_case						  =		{
    """configuration_gpt_neox_japanese""": ["""GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXJapaneseConfig"""],
    """tokenization_gpt_neox_japanese""": ["""GPTNeoXJapaneseTokenizer"""],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __snake_case						  =		[
           """GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """GPTNeoXJapaneseForCausalLM""",
           """GPTNeoXJapaneseLayer""",
           """GPTNeoXJapaneseModel""",
           """GPTNeoXJapanesePreTrainedModel""",
       ]


if TYPE_CHECKING:
       from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
       from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gpt_neox_japanese import (
                  GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTNeoXJapaneseForCausalLM,
                  GPTNeoXJapaneseLayer,
                  GPTNeoXJapaneseModel,
                  GPTNeoXJapanesePreTrainedModel,
              )


else:
       import sys

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

