import numpy as np

# Функция для масштабирования значений дизайна
def scale_design(design, param_ranges):
    scaled_design = []
    for row in design:
        scaled_row = []
        for i, val in enumerate(row):
            min_val, max_val = param_ranges[list(param_ranges.keys())[i]]
            scaled_val = (val + 1) / 2 * (max_val - min_val) + min_val
            scaled_row.append(scaled_val)
        scaled_design.append(scaled_row)
    return np.array(scaled_design)


def scale_design_lhs(design, param_ranges):
    scaled_design = []
    for row in design:
        scaled_row = []
        for i, val in enumerate(row):
            min_val, max_val = param_ranges[list(param_ranges.keys())[i]]
            scaled_val = val * (max_val - min_val) + min_val
            scaled_row.append(scaled_val)
        scaled_design.append(scaled_row)
    return np.array(scaled_design)


# Функция для округления значений
def round_by_index(array, rules):
    rounded_array = np.zeros(array.shape)
    for i in range(array.shape[0]):
        for j in range(array.shape[1]):
            rounded_array[i, j] = round(array[i, j], rules[j])
    return rounded_array