



"""simple docstring"""







import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout



def      __UpperCAmelCase      (    __lowerCamelCase	)							->      List[str]:
		lowercase__   :    Optional[int]				=			FileLock(str(tmpdir / '''foo.lock'''	)	)
		lowercase__   :    List[Any]				=			FileLock(str(tmpdir / '''foo.lock'''	)	)
		lowercase__   :    int				=			0.0_1
		with locka.acquire():
				with pytest.raises(__lowerCamelCase	):
						lowercase__   :    int				=			time.time()
						locka.acquire(__lowerCamelCase	)
						assert time.time() - _start > timeout





def      __UpperCAmelCase      (    __lowerCamelCase	)							->      List[Any]:
		lowercase__   :    Any				=			'''a''' * 10_00 + '''.lock'''
		lowercase__   :    str				=			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
		lowercase__   :    Dict				=			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_sentencepiece_available,
    is_torch_available,
)


lowerCAmelCase_   						=   {
    'configuration_speecht5': [
        'SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP',
        'SpeechT5Config',
        'SpeechT5HifiGanConfig',
    ],
    'feature_extraction_speecht5': ['SpeechT5FeatureExtractor'],
    'processing_speecht5': ['SpeechT5Processor'],
}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   ['SpeechT5Tokenizer']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'SpeechT5ForSpeechToText',
							    'SpeechT5ForSpeechToSpeech',
							    'SpeechT5ForTextToSpeech',
							    'SpeechT5Model',
							    'SpeechT5PreTrainedModel',
							    'SpeechT5HifiGan',
							]

if TYPE_CHECKING:
							from .configuration_speechta import (
							    SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
							    SpeechTaConfig,
							    SpeechTaHifiGanConfig,
							)
							from .feature_extraction_speechta import SpeechTaFeatureExtractor
							from .processing_speechta import SpeechTaProcessor

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_speechta import SpeechTaTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_speechta import (
														    SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
														    SpeechTaForSpeechToSpeech,
														    SpeechTaForSpeechToText,
														    SpeechTaForTextToSpeech,
														    SpeechTaHifiGan,
														    SpeechTaModel,
														    SpeechTaPreTrainedModel,
														)

else:
							import sys

							lowerCAmelCase_   						=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
