from ..utils import DummyObject, requires_backends
class  A_			(							metaclass=a_			):
  _SCREAMING_SNAKE_CASE     					=      ["""onnx"""]

  def __init__(		self			:   List[str]  ,				*__SCREAMING_SNAKE_CASE			:   Union[str, Any]  ,				**__SCREAMING_SNAKE_CASE			:   Union[str, Any]							):
   requires_backends(self  ,				["onnx"]							)

  @classmethod
  def 		_UpperCAmelCase (		cls			:   Optional[int]  ,				*__SCREAMING_SNAKE_CASE			:   List[Any]  ,				**__SCREAMING_SNAKE_CASE			:   Tuple							):
   requires_backends(cls  ,				["onnx"]							)

  @classmethod
  def 		_UpperCAmelCase (		cls			:   Optional[Any]  ,				*__SCREAMING_SNAKE_CASE			:   Tuple  ,				**__SCREAMING_SNAKE_CASE			:   List[str]							):
   requires_backends(cls  ,				["onnx"]							)



from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE			:						Optional[int]				  =		{
    """configuration_mctct""": ["""MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MCTCTConfig"""],
    """feature_extraction_mctct""": ["""MCTCTFeatureExtractor"""],
    """processing_mctct""": ["""MCTCTProcessor"""],
}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE			:						Optional[Any]				  =		[
      """MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """MCTCTForCTC""",
      """MCTCTModel""",
      """MCTCTPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
  from .feature_extraction_mctct import MCTCTFeatureExtractor
  from .processing_mctct import MCTCTProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
  import sys

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


