


from typing import TYPE_CHECKING

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


__UpperCAmelCase    				=     {
    "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:
  __UpperCAmelCase    				=     [
      "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

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









import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


__UpperCAmelCase    				=     logging.get_logger(__name__)





class A__    ( A ):



 """simple docstring"""







 def __init__(		self :	Tuple     ,						*A_ :	Optional[int]     ,						**A_ :	int       ):






      '''simple docstring'''




      warnings.warn(
          "The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
          " Please use ChineseCLIPImageProcessor instead."     ,						A_     ,						)
      super().__init__(*A_     ,						**A_       )






