def 						UpperCAmelCase							(		lowerCAmelCase_    ,   lowerCAmelCase_							)						->						int:
     a	:     str						      =    1.0
     for i in range(1    ,   r + 1							):
          ret *= (n + 1 - i) / i
     return round(lowerCAmelCase_							)







def 						UpperCAmelCase							(		lowerCAmelCase_							)						->						int:
     return choose(8 + n    ,   lowerCAmelCase_							) + choose(9 + n    ,   lowerCAmelCase_							) - 1_0







def 						UpperCAmelCase							(		lowerCAmelCase_							)						->						int:
     return sum(non_bouncy_exact(lowerCAmelCase_							) for i in range(1    ,   n + 1							)							)







def 						UpperCAmelCase							(		lowerCAmelCase_ = 1_0_0							)						->						int:
     return non_bouncy_upto(lowerCAmelCase_							)


if __name__ == "__main__":
  print(F'''{solution() = }''')
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase				 =   {
    """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
    """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase				 =   [
      """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GPTSanJapaneseForConditionalGeneration""",
      """GPTSanJapaneseModel""",
      """GPTSanJapanesePreTrainedModel""",
  ]
  UpperCAmelCase				 =   [
      """GPTSanJapaneseTokenizer""",
  ]


if TYPE_CHECKING:
  from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
  from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_gptsan_japanese import (
        GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
        GPTSanJapaneseForConditionalGeneration,
        GPTSanJapaneseModel,
        GPTSanJapanesePreTrainedModel,
    )
    from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
  import sys

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