Using colon does not copy an array with latest Numpy

[PengchengAi]

Describe the bug In file demo/myCobot_280_demo/280_draw_gcode.py, the function process_gcode uses colon to copy a Numpy array, which only creates a view in latest Numpy (1.26.4)

Toy Example To Reproduce Steps to reproduce the behavior:

import numpy as np
if __name__ == '__main__':
    data_coords = []
    last_coords = np.zeros(shape=(6,))
    for i in range(10):
        coords = last_coords[:]  # Copy the previous valid coordinates
        coords[0] += 1
        last_coords = coords
        data_coords.append(coords)  # Add coordinates to list and save
    print(data_coords)

Result:

[array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.]), array([10.,  0.,  0.,  0.,  0.,  0.])]

[wangWking]

solution You can use coords = last_coords.copy() to create a deep copy of last_coords instead of a shallow copy. Change coords = last_coords[:] in the code to coords = last_coords.copy()

Code reproduction

import numpy as np
if __name__ == '__main__':
    data_coords = []
    last_coords = np.zeros(shape=(6,))
    for i in range(10):
        coords = last_coords.copy()  # Copy the previous valid coordinates
        coords[0] += 1
        last_coords = coords
        data_coords.append(coords)  # Add coordinates to list and save
    print(data_coords)

Result:

[array([1., 0., 0., 0., 0., 0.]), array([2., 0., 0., 0., 0., 0.]), array([3., 0., 0., 0., 0., 0.]), array([4., 0., 0., 0., 0., 0.]), array([5., 0., 0., 0., 0., 0.]), array([6., 0., 0., 0., 0., 0.]), array([7., 0., 0., 0., 0., 0.]), array([8., 0., 0., 0., 0., 0.]), array([9., 0., 0., 0., 0., 0.]), array([10.,  0.,  0.,  0.,  0.,  0.])]