





from collections.abc import Callable
def 					_A	(		SCREAMING_SNAKE_CASE					:       Tuple	,	SCREAMING_SNAKE_CASE					:       int	,	SCREAMING_SNAKE_CASE					:       Optional[int]						):





  """simple docstring"""



  a__     : int  =a
  a__     : Optional[Any]  =b
  if function(SCREAMING_SNAKE_CASE						) == 0:  # one of the a or b is a root for the function
    return a
  elif function(SCREAMING_SNAKE_CASE						) == 0:
    return b
  elif (
      function(SCREAMING_SNAKE_CASE						) * function(SCREAMING_SNAKE_CASE						) > 0
  ):  # if none of these are root and they are both positive or negative,
    # then this algorithm can't find the root
    raise ValueError("could not find root in given interval."						)
  else:
    a__     : Dict  =start + (end - start) / 2.0
    while abs(start - mid						) > 10**-7:  # until precisely equals to 10^-7
      if function(SCREAMING_SNAKE_CASE						) == 0:
        return mid
      elif function(SCREAMING_SNAKE_CASE						) * function(SCREAMING_SNAKE_CASE						) < 0:
        a__     : Dict  =mid
      else:
        a__     : Optional[Any]  =mid
      a__     : List[Any]  =start + (end - start) / 2.0
    return mid
def 					_A	(		SCREAMING_SNAKE_CASE					:       str						):





  """simple docstring"""



  return x**3 - 2 * x - 5


if __name__ == "__main__":
     print(bisection(f, 1, 1000))

     import doctest

     doctest.testmod()













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

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate







@dataclass(frozen=UpperCamelCase__)
class     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : str            =      field(default="""image-classification"""						,    metadata={"""include_in_asdict_even_if_is_default""": True})
      _lowercase    : ClassVar[Features]            =      Features({"""image""": Image()})
      _lowercase    : ClassVar[Features]            =      Features({"""labels""": ClassLabel})
      _lowercase    : str            =      "image"
      _lowercase    : str            =      "labels"







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						List[Any]:



        '''simple docstring'''




        if self.label_column not in features:
          raise ValueError(F'''Column {self.label_column} is not present in features.'''							)
        if not isinstance(features[self.label_column]		,				lowerCAmelCase__							):
          raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''							)
        a__     : int  =copy.deepcopy(self							)
        a__     : Dict  =self.label_schema.copy()
        a__     : int  =features[self.label_column]
        a__     : str  =label_schema
        return task_template







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



        '''simple docstring'''




        return {
            self.image_column: "image",
            self.label_column: "labels",
        }






