


import math
import random

def    lowercase_	(	_A    :					float					,      _A    :					bool = False		):

      """simple docstring"""




      if deriv:
            return value * (1 - value)
      return 1 / (1 + math.exp(-value		))


# Initial Value
A   :					List[Any]	=      0.0_2

def    lowercase_	(	_A    :					int					,      _A    :					int		):

      """simple docstring"""




      lowerCamelCase__	:       Optional[Any]					=						float(2 * (random.randint(1					,      100		)) - 1		)

      for _ in range(_A		):
            # Forward propagation
            lowerCamelCase__	:       int					=						sigmoid_function(INITIAL_VALUE * weight		)
            # How much did we miss?
            lowerCamelCase__	:       Any					=						(expected / 100) - layer_a
            # Error delta
            lowerCamelCase__	:       Any					=						layer_1_error * sigmoid_function(_A					,      _A		)
            # Update weight
            weight += INITIAL_VALUE * layer_1_delta

      return layer_a * 100


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    A   :					List[Any]	=      int(input("Expected value: "))
    A   :					List[str]	=      int(input("Number of propagations: "))
    print(forward_propagation(expected, number_propagations))






import os

def    lowercase_	(	_A    :					str = "input.txt"		):

      """simple docstring"""




      with open(os.path.join(os.path.dirname(_A		)					,      _A		)		) as input_file:
            lowerCamelCase__	:       List[Any]					=						[
                [int(_A		) for element in line.split(","		)]
                for line in input_file.readlines()
            ]

      lowerCamelCase__	:       Optional[Any]					=						len(_A		)
      lowerCamelCase__	:       Union[str, Any]					=						len(matrix[0]		)

      lowerCamelCase__	:       Union[str, Any]					=						[[-1 for _ in range(_A		)] for _ in range(_A		)]
      for i in range(_A		):
            lowerCamelCase__	:       Optional[Any]					=						matrix[i][0]

      for j in range(1					,      _A		):
            for i in range(_A		):
                  lowerCamelCase__	:       int					=						minimal_path_sums[i][j - 1] + matrix[i][j]

            for i in range(1					,      _A		):
                  lowerCamelCase__	:       Tuple					=						min(
                      minimal_path_sums[i][j]					,      minimal_path_sums[i - 1][j] + matrix[i][j]		)

            for i in range(rows - 2					,      -1					,      -1		):
                  lowerCamelCase__	:       str					=						min(
                      minimal_path_sums[i][j]					,      minimal_path_sums[i + 1][j] + matrix[i][j]		)

      return min(minimal_path_sums_row[-1] for minimal_path_sums_row in minimal_path_sums		)


if __name__ == "__main__":
    print(f'{solution() = }')


