generate functionTue, 28 Feb 2023

import numpy as np def transform(X, a=1): Y = np.zeros_like(X) for i in range(X.shape[0]): row = X[i] new_row = np.zeros_like(row) for j in range(row.shape[0]): if j % 2 == 0: new_row[j] = row[j] ** 3 else: new_row[j] = a Y[i] = new_row[::-1] return np.hstack((X, Y))

def transform(X, a=1): Y = np.zeros_like(X) for i in range(X.shape[0]): row = X[i] new_row = np.zeros_like(row) for j in range(row.shape[0]): if j % 2 == 0: new_row[j] = row[j] ** 3 else: new_row[j] = a Y[i] = new_row[::-1] return np.hstack((X, Y))

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