






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       assert isinstance(__A	,      __A		), F'''The input value of [n={number}] is not an integer'''

       if number == 1:
              return 2
       elif number < 1:
              UpperCAmelCase	    =			F'''The input value of [n={number}] has to be > 0'''
              raise ValueError(__A		)
       else:
              UpperCAmelCase	    =			sylvester(number - 1		)
              UpperCAmelCase	    =			num - 1
              UpperCAmelCase	    =			num
              return lower * upper + 1


if __name__ == "__main__":
 print(F'The 8th number in Sylvester\'s sequence: {sylvester(8)}')








"""simple docstring"""







from typing import TYPE_CHECKING

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


lowerCAmelCase_	:    Optional[int]            =      {
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_	:    str            =      [
     '''GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''GraphormerForGraphClassification''',
     '''GraphormerModel''',
     '''GraphormerPreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_graphormer import (
      GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      GraphormerForGraphClassification,
      GraphormerModel,
      GraphormerPreTrainedModel,
  )


else:
 import sys

 lowerCAmelCase_	:    Optional[Any]            =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
