

from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader



class 						_A     (				snake_case				):





  '''simple docstring'''



  def __init__(  self   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_ = None   ,SCREAMING_SNAKE_CASE_ = None   ,SCREAMING_SNAKE_CASE_ = None   ,SCREAMING_SNAKE_CASE_ = False   ,SCREAMING_SNAKE_CASE_ = False   ,SCREAMING_SNAKE_CASE_ = None   ,**SCREAMING_SNAKE_CASE_   ,):

      '''simple docstring'''
      super().__init__(
          SCREAMING_SNAKE_CASE_   ,split=SCREAMING_SNAKE_CASE_   ,features=SCREAMING_SNAKE_CASE_   ,cache_dir=SCREAMING_SNAKE_CASE_   ,keep_in_memory=SCREAMING_SNAKE_CASE_   ,streaming=SCREAMING_SNAKE_CASE_   ,num_proc=SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_   ,)
      snake_case							:		Any        =		path_or_paths if isinstance(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ) else {self.split: path_or_paths}
      snake_case							:		str        =		Text(
          cache_dir=SCREAMING_SNAKE_CASE_   ,data_files=SCREAMING_SNAKE_CASE_   ,features=SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_   ,)





  def    snake_case_       (  self    ):

      '''simple docstring'''
      # Build iterable dataset
      if self.streaming:
          snake_case							:		List[str]        =		self.builder.as_streaming_dataset(split=self.split    )
      # Build regular (map-style) dataset
      else:
          snake_case							:		int        =		None
          snake_case							:		Tuple        =		None
          snake_case							:		str        =		None
          snake_case							:		List[str]        =		None

          self.builder.download_and_prepare(
              download_config=SCREAMING_SNAKE_CASE_   ,download_mode=SCREAMING_SNAKE_CASE_   ,verification_mode=SCREAMING_SNAKE_CASE_   ,base_path=SCREAMING_SNAKE_CASE_   ,num_proc=self.num_proc   ,)
          snake_case							:		Any        =		self.builder.as_dataset(
              split=self.split   ,verification_mode=SCREAMING_SNAKE_CASE_   ,in_memory=self.keep_in_memory    )
      return dataset






"""simple docstring"""

def       SCREAMING_SNAKE_CASE							( lowercase__   )			->						float:
 return 1_0 - x * x



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						float:
 # Bolzano theory in order to find if there is a root between a and b
 if equation(lowercase__   ) * equation(lowercase__   ) >= 0:
  raise ValueError("Wrong space!"   )

 lowerCAmelCase__   :				Union[str, Any] 			=				a
 while (b - a) >= 0.01:
  # Find middle point
  lowerCAmelCase__   :				int 			=				(a + b) / 2
  # Check if middle point is root
  if equation(lowercase__   ) == 0.0:
   break
  # Decide the side to repeat the steps
  if equation(lowercase__   ) * equation(lowercase__   ) < 0:
   lowerCAmelCase__   :				str 			=				c
  else:
   lowerCAmelCase__   :				List[str] 			=				c
 return c


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    print(bisection(-2, 5))
    print(bisection(0, 6))






