





from math import factorial, radians




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE = 18		,						_SCREAMING_SNAKE_CASE = 10		)    ->       float:
  lowercase__           =  angle_in_degrees - ((angle_in_degrees // 3_6_0.0) * 3_6_0.0)

  # Converting from degrees to radians
  lowercase__           =  radians(_SCREAMING_SNAKE_CASE		)

  lowercase__           =  angle_in_radians
  lowercase__           =  3
  lowercase__           =  -1

  for _ in range(_SCREAMING_SNAKE_CASE		):
    result += (b * (angle_in_radians**a)) / factorial(_SCREAMING_SNAKE_CASE		)

    lowercase__           =  -b  # One positive term and the next will be negative and so on...
    a += 2  # Increased by 2 for every term.

  return round(_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		)


if __name__ == "__main__":
      __import__("""doctest""").testmod()









from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=UpperCAmelCase				)
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   _UpperCamelCase   :		str			 =	field(default='language-modeling'      ,     metadata={'include_in_asdict_even_if_is_default': True}				)

   _UpperCamelCase   :		ClassVar[Features]			 =	Features({'text': Value('string'				)}				)
   _UpperCamelCase   :		ClassVar[Features]			 =	Features({}				)
   _UpperCamelCase   :		str			 =	"text"


   @property
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       Dict[str, str]:





     """simple docstring"""







     return {self.text_column: "text"}


