
"""simple docstring"""



from typing import TYPE_CHECKING

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


__lowercase						:     str							      =		{
    """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:
 __lowercase						:     int							      =		[
     """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

 __lowercase						:     Dict							      =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



import numpy as np




def       a_ (       SCREAMING_SNAKE_CASE__   : np.ndarray						,     SCREAMING_SNAKE_CASE__   : float	):
       '''simple docstring'''





       return np.where(vector > 0						,     SCREAMING_SNAKE_CASE__						,     (alpha * (np.exp(SCREAMING_SNAKE_CASE__	) - 1))	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()


