


"""simple docstring"""


from collections.abc import Callable

import numpy as np



def   snake_case						(				_a:     Callable		,   _a:     float		,   _a:     float		,   _a:     float		,   _a:     float							)->		Tuple:
      '''simple docstring'''


      lowerCamelCase__           =		int(np.ceil((x_end - xa) / step_size							)							)
      lowerCamelCase__           =		np.zeros((n + 1,)							)
      lowerCamelCase__           =		ya
      lowerCamelCase__           =		xa

      for k in range(lowerCamelCase_							):
            lowerCamelCase__           =		y[k] + step_size * ode_func(lowerCamelCase_		,   y[k]							)
            lowerCamelCase__           =		y[k] + (
                (step_size / 2) * (ode_func(lowerCamelCase_		,   y[k]							) + ode_func(x + step_size		,   lowerCamelCase_							))
            )
            x += step_size

      return y


if __name__ == "__main__":
   import doctest

   doctest.testmod()







"""simple docstring"""


def   snake_case						(				_a:     list[list[float]]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		[]
      for data in source_data:
            for i, el in enumerate(_a							):
                  if len(_a							) < i + 1:
                        data_lists.append([]							)
                  data_lists[i].append(float(_a							)							)
      return data_lists



def   snake_case						(				_a:     list[list[float]]		,   _a:     list[int]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		[]
      for dlist, weight in zip(_a		,   _a							):
            lowerCamelCase__           =		min(_a							)
            lowerCamelCase__           =		max(_a							)

            lowerCamelCase__           =		[]
            # for weight 0 score is 1 - actual score
            if weight == 0:
                  for item in dlist:
                        try:
                              score.append(1 - ((item - mind) / (maxd - mind))							)
                        except ZeroDivisionError:
                              score.append(1							)

            elif weight == 1:
                  for item in dlist:
                        try:
                              score.append((item - mind) / (maxd - mind)							)
                        except ZeroDivisionError:
                              score.append(0							)

        # weight not 0 or 1
            else:
                  lowerCamelCase__           =		F'Invalid weight of {weight:f} provided'
                  raise ValueError(_a							)

            score_lists.append(_a							)

      return score_lists



def   snake_case						(				_a:     list[list[float]]							)->		list[float]:
      '''simple docstring'''


      lowerCamelCase__           =		[0 for i in range(len(score_lists[0]							)							)]

      for slist in score_lists:
            for j, ele in enumerate(_a							):
                  lowerCamelCase__           =		final_scores[j] + ele

      return final_scores






def   snake_case						(				_a:     list[list[float]]		,   _a:     list[int]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		get_data(_a							)
      lowerCamelCase__           =		calculate_each_score(_a		,   _a							)
      lowerCamelCase__           =		generate_final_scores(_a							)

      # append scores to source data
      for i, ele in enumerate(_a							):
            source_data[i].append(_a							)

      return source_data



