

import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout
def 						__lowerCamelCase	(       __snake_case					:		Optional[int]	)	->							Optional[Any]:






						"""simple docstring"""





						A__					:       str     =FileLock(str(tmpdir / """foo.lock"""	)	)
						A__					:       List[Any]     =FileLock(str(tmpdir / """foo.lock"""	)	)
						A__					:       Dict     =0.01
						with locka.acquire():
												with pytest.raises(lowerCAmelCase__	):
																		A__					:       Optional[int]     =time.time()
																		locka.acquire(lowerCAmelCase__	)
																		assert time.time() - _start > timeout
def 						__lowerCamelCase	(       __snake_case					:		Optional[int]	)	->							Dict:






						"""simple docstring"""





						A__					:       int     ="""a""" * 1_000 + """.lock"""
						A__					:       List[Any]     =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	)	) <= 255
						A__					:       Tuple     =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_speech_available, is_torch_available


__snake_case			:     Any										=      {
    'configuration_audio_spectrogram_transformer': [
        'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ASTConfig',
    ]
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case			:     Optional[int]										=      [
		    'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ASTForAudioClassification',
		    'ASTModel',
		    'ASTPreTrainedModel',
		]

try:
		if not is_speech_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case			:     List[Any]										=      ['ASTFeatureExtractor']

if TYPE_CHECKING:
		from .configuration_audio_spectrogram_transformer import (
		    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    ASTConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_audio_spectrogram_transformer import (
				    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ASTForAudioClassification,
				    ASTModel,
				    ASTPreTrainedModel,
				)

		try:
				if not is_speech_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
		import sys

		__snake_case			:     Optional[Any]										=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

