


"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


snake_case__						:   Optional[int]			 = {
    '''configuration_altclip''': [
        '''ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''AltCLIPConfig''',
        '''AltCLIPTextConfig''',
        '''AltCLIPVisionConfig''',
    ],
    '''processing_altclip''': ['''AltCLIPProcessor'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 snake_case__						:   List[str]			 = [
     '''ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''AltCLIPPreTrainedModel''',
     '''AltCLIPModel''',
     '''AltCLIPTextModel''',
     '''AltCLIPVisionModel''',
 ]


if TYPE_CHECKING:
 from .configuration_altclip import (
     ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
     AltCLIPConfig,
     AltCLIPTextConfig,
     AltCLIPVisionConfig,
 )
 from .processing_altclip import AltCLIPProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_altclip import (
      ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
      AltCLIPModel,
      AltCLIPPreTrainedModel,
      AltCLIPTextModel,
      AltCLIPVisionModel,
  )


else:
 import sys

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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase							:  Optional[int]   	=						{"""configuration_wavlm""": ["""WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """WavLMConfig"""]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Any   	=						[
						    """WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """WavLMForAudioFrameClassification""",
						    """WavLMForCTC""",
						    """WavLMForSequenceClassification""",
						    """WavLMForXVector""",
						    """WavLMModel""",
						    """WavLMPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_wavlm import (
												    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WavLMForAudioFrameClassification,
												    WavLMForCTC,
												    WavLMForSequenceClassification,
												    WavLMForXVector,
												    WavLMModel,
												    WavLMPreTrainedModel,
												)

else:
						import sys

						lowerCAmelCase							:  Union[str, Any]   	=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






