




def 							_SCREAMING_SNAKE_CASE   (		snake_case      ,  snake_case = 0							)    ->					list:
						_UpperCAmelCase	     =      length or len(a__							)
						_UpperCAmelCase	     =      False
						for i in range(length - 1							):
												if list_data[i] > list_data[i + 1]:
																		_UpperCAmelCase	     =      list_data[i + 1], list_data[i]
																		_UpperCAmelCase	     =      True

						return list_data if not swapped else bubble_sort(a__      ,  length - 1							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase_							:					Optional[Any]		 =   {
    '''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Wav2Vec2Config'''],
    '''feature_extraction_wav2vec2''': ['''Wav2Vec2FeatureExtractor'''],
    '''processing_wav2vec2''': ['''Wav2Vec2Processor'''],
    '''tokenization_wav2vec2''': ['''Wav2Vec2CTCTokenizer''', '''Wav2Vec2Tokenizer'''],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase_							:					Optional[Any]		 =   [
			    '''WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''Wav2Vec2ForAudioFrameClassification''',
			    '''Wav2Vec2ForCTC''',
			    '''Wav2Vec2ForMaskedLM''',
			    '''Wav2Vec2ForPreTraining''',
			    '''Wav2Vec2ForSequenceClassification''',
			    '''Wav2Vec2ForXVector''',
			    '''Wav2Vec2Model''',
			    '''Wav2Vec2PreTrainedModel''',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase_							:					List[Any]		 =   [
			    '''TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''TFWav2Vec2ForCTC''',
			    '''TFWav2Vec2Model''',
			    '''TFWav2Vec2PreTrainedModel''',
			    '''TFWav2Vec2ForSequenceClassification''',
			]

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase_							:					Dict		 =   [
			    '''FlaxWav2Vec2ForCTC''',
			    '''FlaxWav2Vec2ForPreTraining''',
			    '''FlaxWav2Vec2Model''',
			    '''FlaxWav2Vec2PreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_wavaveca import WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP, WavaVecaConfig
			from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
			from .processing_wavaveca import WavaVecaProcessor
			from .tokenization_wavaveca import WavaVecaCTCTokenizer, WavaVecaTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_wavaveca import (
						    WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
						    WavaVecaForAudioFrameClassification,
						    WavaVecaForCTC,
						    WavaVecaForMaskedLM,
						    WavaVecaForPreTraining,
						    WavaVecaForSequenceClassification,
						    WavaVecaForXVector,
						    WavaVecaModel,
						    WavaVecaPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_wavaveca import (
						    TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TFWavaVecaForCTC,
						    TFWavaVecaForSequenceClassification,
						    TFWavaVecaModel,
						    TFWavaVecaPreTrainedModel,
						)

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_wavaveca import (
						    FlaxWavaVecaForCTC,
						    FlaxWavaVecaForPreTraining,
						    FlaxWavaVecaModel,
						    FlaxWavaVecaPreTrainedModel,
						)


else:
			import sys

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





