



'''simple docstring'''






def 				lowerCamelCase__	(						_A = 6008_5147_5143    ):

  try:
    a						: str					       =					int(_A    )
  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						: List[str]					       =					2
  a						: List[str]					       =					0
  if n == 2:
    return 2
  while n > 2:
    while n % i != 0:
      i += 1
    a						: Tuple					       =					i
    while n % i == 0:
      a						: Optional[int]					       =					n // i
    i += 1
  return int(_A    )


if __name__ == "__main__":
   print(F"{solution() = }")




'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase: List[Any]							=						{}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: Optional[int]							=						['NllbTokenizer']

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: Dict							=						['NllbTokenizerFast']


if TYPE_CHECKING:
     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_nllb import NllbTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_nllb_fast import NllbTokenizerFast

else:
     import sys

     lowerCAmelCase: Tuple							=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)