


def  _a			(						__UpperCamelCase ):
     if not isinstance(__UpperCamelCase  ,  __UpperCamelCase ):
          raise ValueError("""check_bouncy() accepts only integer arguments""" )
     a_    :     List[str]										=    str(__UpperCamelCase )
     a_    :     Union[str, Any]										=    """""".join(sorted(__UpperCamelCase ) )
     return sorted_str_n != str_n and sorted_str_n[::-1] != str_n



def  _a			(						__UpperCamelCase = 9_9 ):
     if not 0 < percent < 1_0_0:
          raise ValueError("""solution() only accepts values from 0 to 100""" )
     a_    :     Optional[int]										=    0
     a_    :     Dict										=    1

     while True:
          if check_bouncy(__UpperCamelCase ):
               bouncy_num += 1
          if (bouncy_num / num) * 1_0_0 >= percent:
               return num
          num += 1


if __name__ == "__main__":
       from doctest import testmod

       testmod()
       print(f'''{solution(99)}''')







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase        =     {
    '''configuration_pegasus_x''': ['''PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PegasusXConfig'''],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase        =     [
           '''PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''PegasusXForConditionalGeneration''',
           '''PegasusXModel''',
           '''PegasusXPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_pegasus_x import (
                  PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
                  PegasusXForConditionalGeneration,
                  PegasusXModel,
                  PegasusXPreTrainedModel,
              )


else:
       import sys

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



