




def       SCREAMING_SNAKE_CASE							(     __UpperCamelCase)    ->  str:
     a											=   1
     a											=   0
     a											=   1
     a											=   1
     a											=   3
     a											=   3
     a											=   limit
     a											=   0

     a											=   ""
     while counter != decimal + 1:
          if 4 * q + r - t < n * t:
               result += str(__UpperCamelCase)
               if counter == 0:
                    result += "."

               if decimal == counter:
                    break

               counter += 1
               a											=   10 * (r - n * t)
               a											=   ((10 * (3 * q + r)) // t) - 10 * n
               q *= 10
               a											=   nr
          else:
               a											=   (2 * q + r) * l
               a											=   (q * (7 * k) + 2 + (r * l)) // (t * l)
               q *= k
               t *= l
               l += 2
               k += 1
               a											=   nn
               a											=   nr
     return result

def       SCREAMING_SNAKE_CASE							(     )    ->  None:
     print(f'''{calculate_pi(50) = }''')
     import doctest

     doctest.testmod()


if __name__ == "__main__":
   main()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__   :    Union[str, Any] 					=      {"configuration_visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__   :    List[Any] 					=      [
       "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
       "VisualBertForMultipleChoice",
       "VisualBertForPreTraining",
       "VisualBertForQuestionAnswering",
       "VisualBertForRegionToPhraseAlignment",
       "VisualBertForVisualReasoning",
       "VisualBertLayer",
       "VisualBertModel",
       "VisualBertPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_visual_bert import (
          VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          VisualBertForMultipleChoice,
          VisualBertForPreTraining,
          VisualBertForQuestionAnswering,
          VisualBertForRegionToPhraseAlignment,
          VisualBertForVisualReasoning,
          VisualBertLayer,
          VisualBertModel,
          VisualBertPreTrainedModel,
      )


else:
   import sys

   lowercase__   :    Union[str, Any] 					=      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

