
'''simple docstring'''

def 	_UpperCAmelCase				(  _lowerCamelCase						:       int  ,      _lowerCamelCase						:       int  ,      _lowerCamelCase						:       int		)    ->						float:
  if common_ratio == 1:
    # Formula for sum if common ratio is 1
    return num_of_terms * first_term

  # Formula for finding sum of n terms of a GeometricProgression
  return (first_term / (1 - common_ratio)) * (1 - common_ratio**num_of_terms)




'''simple docstring'''

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__)


