


"""simple docstring"""


from math import factorial



def   snake_case						(				_a:     int		,   _a:     int							)->		int:
      '''simple docstring'''


      if n < k or k < 0:
            raise ValueError('Please enter positive integers for n and k where n >= k'							)
      return factorial(_a							) // (factorial(_a							) * factorial(n - k							))


if __name__ == "__main__":
   print(
       "The number of five-card hands possible from a standard",
       f"""fifty-two card deck is: {combinations(52, 5)}\n""",
   )

   print(
       "If a class of 40 students must be arranged into groups of",
       f"""4 for group projects, there are {combinations(40, 4)} ways""",
       "to arrange them.\n",
   )

   print(
       "If 10 teams are competing in a Formula One race, there",
       f"""are {combinations(10, 3)} ways that first, second and""",
       "third place can be awarded.",
   )







"""simple docstring"""


from typing import TYPE_CHECKING

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


_snake_case          =							{
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
       "M2M100ForConditionalGeneration",
       "M2M100Model",
       "M2M100PreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
   from .tokenization_mam_aaa import MaMaaaTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mam_aaa import (
          M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
          MaMaaaForConditionalGeneration,
          MaMaaaModel,
          MaMaaaPreTrainedModel,
      )


else:
   import sys

   _snake_case          =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



