




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase_					    = {
    """configuration_resnet""": ["""RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ResNetConfig""", """ResNetOnnxConfig"""]
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase_					    = [
         """RESNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """ResNetForImageClassification""",
         """ResNetModel""",
         """ResNetPreTrainedModel""",
         """ResNetBackbone""",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase_					    = [
         """TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TFResNetForImageClassification""",
         """TFResNetModel""",
         """TFResNetPreTrainedModel""",
     ]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase_					    = [
         """FlaxResNetForImageClassification""",
         """FlaxResNetModel""",
         """FlaxResNetPreTrainedModel""",
     ]

if TYPE_CHECKING:
     from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_resnet import (
              RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              ResNetBackbone,
              ResNetForImageClassification,
              ResNetModel,
              ResNetPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_resnet import (
              TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFResNetForImageClassification,
              TFResNetModel,
              TFResNetPreTrainedModel,
          )

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
     import sys

     lowerCAmelCase_					    = _LazyModule(__name__, globals()["""__file__"""], _import_structure)







def      __lowerCAmelCase			(					UpperCamelCase      )     ->	bool:
  if not isinstance(UpperCamelCase	,      UpperCamelCase      ):
    raise ValueError('''Input series is not valid, valid series - [2, 4, 6]'''      )
  if len(UpperCamelCase      ) == 0:
    raise ValueError('''Input list must be a non empty list'''      )
  if len(UpperCamelCase      ) == 1:
    return True
  lowerCAmelCase__				:  Tuple		       =     series[1] - series[0]
  for index in range(len(UpperCamelCase      ) - 1      ):
    if series[index + 1] - series[index] != common_diff:
      return False
  return True



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	float:
  if not isinstance(UpperCamelCase	,      UpperCamelCase      ):
    raise ValueError('''Input series is not valid, valid series - [2, 4, 6]'''      )
  if len(UpperCamelCase      ) == 0:
    raise ValueError('''Input list must be a non empty list'''      )
  lowerCAmelCase__				:  int		       =     0
  for val in series:
    answer += val
  return answer / len(UpperCamelCase      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()

