


from typing import TYPE_CHECKING

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


__lowerCamelCase   	=  {'''configuration_cvt''': ['''CVT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CvtConfig''']}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase   	=  [
           '''CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''CvtForImageClassification''',
           '''CvtModel''',
           '''CvtPreTrainedModel''',
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase   	=  [
           '''TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''TFCvtForImageClassification''',
           '''TFCvtModel''',
           '''TFCvtPreTrainedModel''',
       ]

if TYPE_CHECKING:
       from .configuration_cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_cvt import (
                  CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  CvtForImageClassification,
                  CvtModel,
                  CvtPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_cvt import (
                  TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFCvtForImageClassification,
                  TFCvtModel,
                  TFCvtPreTrainedModel,
              )


else:
       import sys

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





"""simple docstring"""




def 				a__			(					lowerCAmelCase						:							int		):






     '''simple docstring'''
     if number != int(lowerCAmelCase		):
          raise ValueError("factorial() only accepts integral values"		)
     if number < 0:
          raise ValueError("factorial() not defined for negative values"		)
     UpperCAmelCase__				:			int							=    1
     for i in range(1							,     number + 1		):
          value *= i
     return value



def 				a__			(					lowerCAmelCase						:							int		):






     '''simple docstring'''
     if not isinstance(lowerCAmelCase							,     lowerCAmelCase		):
          raise ValueError("factorial() only accepts integral values"		)
     if n < 0:
          raise ValueError("factorial() not defined for negative values"		)
     return 1 if n == 0 or n == 1 else n * factorial(n - 1		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    A__   :						Any 							=     int(input("""Enter a positive integer: """).strip() or 0)
    print(f"""factorial{n} is {factorial(n)}""")



