

"""simple docstring"""






from math import factorial





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      Any:



 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


__lowerCamelCase										=		{
    "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:
 __lowerCamelCase										=		[
     "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

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

