






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__UpperCAmelCase      				=							{
    "configuration_convnextv2": [
        "CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ConvNextV2Config",
    ]
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase      				=							[
          "CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST",
          "ConvNextV2ForImageClassification",
          "ConvNextV2Model",
          "ConvNextV2PreTrainedModel",
          "ConvNextV2Backbone",
      ]


if TYPE_CHECKING:
      from .configuration_convnextva import (
          CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
          ConvNextVaConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_convnextva import (
                CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
                ConvNextVaBackbone,
                ConvNextVaForImageClassification,
                ConvNextVaModel,
                ConvNextVaPreTrainedModel,
            )

else:
      import sys

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












def 		A_			(		lowercase_	)							->int:







 """simple docstring"""

 if not isinstance(lowercase_					,       lowercase_	):
  SCREAMING_SNAKE_CASE							  =						f'''Input value of [number={number}] must be an integer'''
  raise TypeError(lowercase_	)
 if number < 1:
  raise ValueError('Input must be a positive integer'	)
 return number * (2 * number - 1)


if __name__ == "__main__":
      import doctest

      doctest.testmod()




