Stuck on an issue?

When one creates an array of hsl values HSL = numpy.array([[0, 0, .5], [0, 1, .5]]), and then one converts HSL to RGB using RGB = colour.HSL_to_RGB(HSL) one finds that RGB[0] = RGB[1].

This should not be the case, as it should be: RGB[1] = array([1, 0, 0]), while the package gives back: RGB[1] = array([0.5, 0.5, 0.5])

If one creates an HSL hue-page, as shown with the problem above, the problem is clearly demonstrated as simply this package reverts values of S = 1 to S = 0.

I created a function to create and save HSL hue-pages through the process below:

import numpy as np
import colour
from PIL import Image as im

def plot_HSL_huepage(hue):
    s = np.arange(0, 100.1, .1) / 100
    l = np.arange(0, 100.1, .1) / 100
    mesh = np.array(np.meshgrid(s, l))
    combinations = mesh.T.reshape(-1, 2)
    h = np.full((combinations.shape[0]), hue)/360
    hsl = np.stack([h, combinations[:,0], combinations[:,1]], axis = -1)
    srgb = colour.HSL_to_RGB(hsl)
    srgb = (srgb*255).astype(np.uint8)
    RGB = np.reshape(srgb, (s.size, l.size, 3))
    data = im.fromarray(RGB)
    data = data.rotate(90)
    data.save('hsl_huepage_h={}.png'.format(hue))

When one then runs the function for HSL hues of 0, 60, 120, 240, and 300 as shown below:

h_values = np.array([0, 60, 120, 240, 300])
for x in h_values:
     plot_HSL_huepage(x)

when one opens the hue page png, no matter the hue, one sees that the values for S = 1 are the same grey values as S = 0.

I hope this issue submission is clear, I have never written one before. I only learned python because I wanted to use this package, and I am grateful for the amount of work put into making this package.

What can I do to get the correct RGB values using the HSL_to_RGB function?