

"""simple docstring"""





import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout

def   __SCREAMING_SNAKE_CASE  (      A_ ):
	lowerCAmelCase__	:						Union[str, Any]  				=	FileLock(str(tmpdir / '''foo.lock''' ) )
	lowerCAmelCase__	:						Dict  				=	FileLock(str(tmpdir / '''foo.lock''' ) )
	lowerCAmelCase__	:						Optional[int]  				=	0.01
	with locka.acquire():
		with pytest.raises(A_ ):
			lowerCAmelCase__	:						Optional[int]  				=	time.time()
			locka.acquire(A_ )
			assert time.time() - _start > timeout





def   __SCREAMING_SNAKE_CASE  (      A_ ):
	lowerCAmelCase__	:						int  				=	'''a''' * 10_00 + '''.lock'''
	lowerCAmelCase__	:						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 ) ) <= 2_55
	lowerCAmelCase__	:						Any  				=	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_flax_available, is_torch_available


__UpperCamelCase  :      str							      =		{
    '''configuration_longt5''': ['''LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LongT5Config''', '''LongT5OnnxConfig'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase  :      str							      =		[
							    '''LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''LongT5EncoderModel''',
							    '''LongT5ForConditionalGeneration''',
							    '''LongT5Model''',
							    '''LongT5PreTrainedModel''',
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase  :      int							      =		[
							    '''FlaxLongT5ForConditionalGeneration''',
							    '''FlaxLongT5Model''',
							    '''FlaxLongT5PreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_longta import (
														    LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LongTaEncoderModel,
														    LongTaForConditionalGeneration,
														    LongTaModel,
														    LongTaPreTrainedModel,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_longta import (
														    FlaxLongTaForConditionalGeneration,
														    FlaxLongTaModel,
														    FlaxLongTaPreTrainedModel,
														)


else:
							import sys

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




