

'''simple docstring'''
import math as m


def  _lowerCAmelCase      (		_UpperCamelCase		:  Optional[Any]							,				_UpperCamelCase		:  Any							,				_UpperCamelCase		:  Optional[int]=0.0_01       )   ->    Optional[int]:
     """simple docstring"""




     return (f(a + h       ) - f(a - h       )) / (2 * h)


def  _lowerCAmelCase      (		_UpperCamelCase		:  List[str]							,				_UpperCamelCase		:  Dict=0							,				_UpperCamelCase		:  Union[str, Any]=1_00							,				_UpperCamelCase		:  Optional[int]=0.00_01							,				_UpperCamelCase		:  Dict=1E-6							,				_UpperCamelCase		:  int=False       )   ->    List[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE												=xa  # set the initial guess
     _SCREAMING_SNAKE_CASE												=[a]
     _SCREAMING_SNAKE_CASE												=abs(f(_UpperCamelCase       )       )
     _SCREAMING_SNAKE_CASE												=lambda _UpperCamelCase       : calc_derivative(_UpperCamelCase							,				_UpperCamelCase							,				h=_UpperCamelCase       )  # noqa: E731  Derivative of f(x)
     for _ in range(_UpperCamelCase       ):
          if fa(_UpperCamelCase       ) == 0:
               raise ValueError('No converging solution found'       )
          _SCREAMING_SNAKE_CASE												=a - f(_UpperCamelCase       ) / fa(_UpperCamelCase       )  # Calculate the next estimate
          if logsteps:
               steps.append(_UpperCamelCase       )
          if error < maxerror:
               break
     else:
          raise ValueError('Iteration limit reached, no converging solution found'       )
     if logsteps:
          # If logstep is true, then log intermediate steps
          return a, error, steps
     return a, error


if __name__ == "__main__":
     from matplotlib import pyplot as plt

     lowerCamelCase				:   List[Any]      				=  lambda x: m.tanh(x) ** 2 - m.exp(3 * x)  # noqa: E731
     lowerCamelCase				,					lowerCamelCase				,					lowerCamelCase				:   int      				=  newton_raphson(
         f, xa=1_0, maxiter=1_0_0_0, step=1E-6, logsteps=True
     )
     plt.plot([abs(f(x)) for x in steps])
     plt.xlabel("step")
     plt.ylabel("error")
     plt.show()
     print(f'''solution = {{{solution:f}}}, error = {{{error:f}}}''')



'''simple docstring'''
from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


lowerCamelCase				:   Dict      				=  datasets.utils.logging.get_logger(__name__)







class 							A__					( folder_based_builder.FolderBasedBuilderConfig						):
  A__					=       None
  A__					=       None







class 							A__					( folder_based_builder.FolderBasedBuilder						):
  A__					=       datasets.Image()
  A__					=       'image'
  A__					=       ImageFolderConfig
  A__					=       42  # definition at the bottom of the script
  A__					=       ImageClassification(image_column='image'  ,     label_column='label'						)

lowerCamelCase				:   Optional[int]      				=  [
    ".blp",
    ".bmp",
    ".dib",
    ".bufr",
    ".cur",
    ".pcx",
    ".dcx",
    ".dds",
    ".ps",
    ".eps",
    ".fit",
    ".fits",
    ".fli",
    ".flc",
    ".ftc",
    ".ftu",
    ".gbr",
    ".gif",
    ".grib",
    ".h5",
    ".hdf",
    ".png",
    ".apng",
    ".jp2",
    ".j2k",
    ".jpc",
    ".jpf",
    ".jpx",
    ".j2c",
    ".icns",
    ".ico",
    ".im",
    ".iim",
    ".tif",
    ".tiff",
    ".jfif",
    ".jpe",
    ".jpg",
    ".jpeg",
    ".mpg",
    ".mpeg",
    ".msp",
    ".pcd",
    ".pxr",
    ".pbm",
    ".pgm",
    ".ppm",
    ".pnm",
    ".psd",
    ".bw",
    ".rgb",
    ".rgba",
    ".sgi",
    ".ras",
    ".tga",
    ".icb",
    ".vda",
    ".vst",
    ".webp",
    ".wmf",
    ".emf",
    ".xbm",
    ".xpm",
]
lowerCamelCase				:   Any      				=  IMAGE_EXTENSIONS
