code: 
  
  
  
  '''simple docstring'''
  
  
  
  from math import sqrt
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  [1]
   for i in range(2							,int(sqrt(__A       )       ) + 1							,1       ):
    if number % i == 0:
     values.append(__A       )
     if int(number // i       ) != i:
      values.append(int(number // i       )       )
   return sorted(__A       )
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   return sum(factors(__A       )       ) > n
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  factors(__A       )
   __UpperCamelCase				      =  len(__A       )
   __UpperCamelCase				      =  [[0 for i in range(number + 1       )] for j in range(r + 1       )]
   for i in range(r + 1       ):
    __UpperCamelCase				      =  True
  
   for i in range(1							,number + 1       ):
    __UpperCamelCase				      =  False
  
   for i in range(1							,r + 1       ):
    for j in range(1							,number + 1       ):
     if j < values[i - 1]:
      __UpperCamelCase				      =  subset[i - 1][j]
     else:
      __UpperCamelCase				      =  subset[i - 1][j] or subset[i - 1][j - values[i - 1]]
  
   return subset[r][number] != 0
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   return abundant(__A       ) and not semi_perfect(__A       )
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod(verbose=True)
   for number in (6_9, 7_0, 7_1):
    print(f'''{number} is {"" if weird(number) else "not "}weird.''')
  
  
  
  
  
  
style_context: 
  
  
  
  '''simple docstring'''
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  a__						:			Optional[int]										=			{
      'configuration_bark': [
          'BARK_PRETRAINED_CONFIG_ARCHIVE_MAP',
          'BarkCoarseConfig',
          'BarkConfig',
          'BarkFineConfig',
          'BarkSemanticConfig',
      ],
      'processing_bark': ['BarkProcessor'],
  }
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   a__						:			Any										=			[
       'BARK_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BarkFineModel',
       'BarkSemanticModel',
       'BarkCoarseModel',
       'BarkModel',
       'BarkPreTrainedModel',
       'BarkCausalModel',
   ]
  
  if TYPE_CHECKING:
   from .configuration_bark import (
       BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BarkCoarseConfig,
       BarkConfig,
       BarkFineConfig,
       BarkSemanticConfig,
   )
   from .processing_bark import BarkProcessor
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_bark import (
        BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
        BarkCausalModel,
        BarkCoarseModel,
        BarkFineModel,
        BarkModel,
        BarkPreTrainedModel,
        BarkSemanticModel,
    )
  
  else:
   import sys
  
   a__						:			Tuple										=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
  
  
  
  