
import math




def 							a		(				snake_case__:   float		,  snake_case__:   float   ):


				'''simple docstring'''
				return math.pow(snake_case__		,  2   ) - a




def 							a		(				snake_case__:   float   ):


				'''simple docstring'''
				return 2 * x




def 							a		(				snake_case__:   float   ):


				'''simple docstring'''
				lowercase_	    =   2.0

				while start <= a:
								lowercase_	    =   math.pow(snake_case__		,  2   )

				return start




def 							a		(				snake_case__:   float		,  snake_case__:   int = 9_999		,  snake_case__:   float = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1   ):


				'''simple docstring'''

				if a < 0:
								raise ValueError('''math domain error'''   )

				lowercase_	    =   get_initial_point(snake_case__   )

				for _ in range(snake_case__   ):
								lowercase_	    =   value
								lowercase_	    =   value - fx(snake_case__		,  snake_case__   ) / fx_derivative(snake_case__   )
								if abs(prev_value - value   ) < tolerance:
												return value

				return value


if __name__ == "__main__":
						from doctest import testmod

						testmod()






import pytest

import datasets.config
from datasets.utils.info_utils import is_small_dataset




@pytest.mark.parametrize('''dataset_size'''		,  [None, 400 * 2**20, 600 * 2**20]   )
@pytest.mark.parametrize('''input_in_memory_max_size'''		,  ['''default''', 0, 100 * 2**20, 900 * 2**20]   )
def 							a		(				snake_case__:   int		,  snake_case__:   Dict		,  snake_case__:   Dict   ):


				'''simple docstring'''
				if input_in_memory_max_size != "default":
								monkeypatch.setattr(datasets.config		,  '''IN_MEMORY_MAX_SIZE'''		,  snake_case__   )
				lowercase_	    =   datasets.config.IN_MEMORY_MAX_SIZE
				if input_in_memory_max_size == "default":
								assert in_memory_max_size == 0
				else:
								assert in_memory_max_size == input_in_memory_max_size
				if dataset_size and in_memory_max_size:
								lowercase_	    =   dataset_size < in_memory_max_size
				else:
								lowercase_	    =   False
				lowercase_	    =   is_small_dataset(snake_case__   )
				assert result == expected




