




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


_UpperCAmelCase	:						Tuple			=     {
    """configuration_perceiver""": ["""PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PerceiverConfig""", """PerceiverOnnxConfig"""],
    """tokenization_perceiver""": ["""PerceiverTokenizer"""],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase	:						Union[str, Any]			=     ["""PerceiverFeatureExtractor"""]
     _UpperCAmelCase	:						Optional[int]			=     ["""PerceiverImageProcessor"""]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase	:						int			=     [
         """PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """PerceiverForImageClassificationConvProcessing""",
         """PerceiverForImageClassificationFourier""",
         """PerceiverForImageClassificationLearned""",
         """PerceiverForMaskedLM""",
         """PerceiverForMultimodalAutoencoding""",
         """PerceiverForOpticalFlow""",
         """PerceiverForSequenceClassification""",
         """PerceiverLayer""",
         """PerceiverModel""",
         """PerceiverPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverOnnxConfig
     from .tokenization_perceiver import PerceiverTokenizer

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_perceiver import PerceiverFeatureExtractor
          from .image_processing_perceiver import PerceiverImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_perceiver import (
              PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
              PerceiverForImageClassificationConvProcessing,
              PerceiverForImageClassificationFourier,
              PerceiverForImageClassificationLearned,
              PerceiverForMaskedLM,
              PerceiverForMultimodalAutoencoding,
              PerceiverForOpticalFlow,
              PerceiverForSequenceClassification,
              PerceiverLayer,
              PerceiverModel,
              PerceiverPreTrainedModel,
          )

else:
     import sys

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









def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase   ):
  return int((input_a, input_a).count(0   ) != 0   )



def       UpperCAmelCase__  (     ):
  assert nand_gate(0,			0   ) == 1
  assert nand_gate(0,			1   ) == 1
  assert nand_gate(1,			0   ) == 1
  assert nand_gate(1,			1   ) == 0


if __name__ == "__main__":
     print(nand_gate(0, 0))
     print(nand_gate(0, 1))
     print(nand_gate(1, 0))
     print(nand_gate(1, 1))



