code: 
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_ = 2_0	)			->							int:
  
  				try:
  								A__     :							str   				=int(snake_case_	)
  				except (TypeError, ValueError):
  								raise TypeError('''Parameter n must be int or castable to int.'''	)
  				if n <= 0:
  								raise ValueError('''Parameter n must be greater than or equal to one.'''	)
  				A__     :							Optional[int]   				=0
  				while 1:
  								i += n * (n - 1)
  								A__     :							int   				=0
  								for j in range(2,	snake_case_	):
  												if i % j != 0:
  																A__     :							Dict   				=1
  																break
  								if nfound == 0:
  												if i == 0:
  																A__     :							Dict   				=1
  												return i
  				return None
  
  
  if __name__ == "__main__":
  						print(F"{solution() = }")
  
  
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  __lowerCamelCase       :       str				   =			{
      "configuration_align": [
          "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
          "AlignConfig",
          "AlignTextConfig",
          "AlignVisionConfig",
      ],
      "processing_align": ["AlignProcessor"],
  }
  
  try:
  						if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  						pass
  else:
  						__lowerCamelCase       :       Dict				   =			[
  						    "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
  						    "AlignModel",
  						    "AlignPreTrainedModel",
  						    "AlignTextModel",
  						    "AlignVisionModel",
  						]
  
  if TYPE_CHECKING:
  						from .configuration_align import (
  						    ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
  						    AlignConfig,
  						    AlignTextConfig,
  						    AlignVisionConfig,
  						)
  						from .processing_align import AlignProcessor
  
  						try:
  												if not is_torch_available():
  																		raise OptionalDependencyNotAvailable()
  						except OptionalDependencyNotAvailable:
  												pass
  						else:
  												from .modeling_align import (
  												    ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
  												    AlignModel,
  												    AlignPreTrainedModel,
  												    AlignTextModel,
  												    AlignVisionModel,
  												)
  
  else:
  						import sys
  
  						__lowerCamelCase       :       List[str]				   =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  