
'''simple docstring'''



from typing import TYPE_CHECKING

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


_lowercase          =						{
    """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:
						_lowercase          =						[
						    """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:
						_lowercase          =						[
						    """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:
						_lowercase          =						[
						    """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

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


'''simple docstring'''



from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip
