def test_snapshot(self):
for hex_color, colors in self.snapshot.items():
# Test forward functions
test_rgb = husl.hex_to_rgb(hex_color)
self.assertTuplesClose(test_rgb, colors['rgb'])
test_xyz = husl.rgb_to_xyz(test_rgb)
self.assertTuplesClose(test_xyz, colors['xyz'])
test_luv = husl.xyz_to_luv(test_xyz)
self.assertTuplesClose(test_luv, colors['luv'])
test_lch = husl.luv_to_lch(test_luv)
self.assertTuplesClose(test_lch, colors['lch'])
test_husl = husl.lch_to_husl(test_lch)
self.assertTuplesClose(test_husl, colors['husl'])
test_huslp = husl.lch_to_huslp(test_lch)
self.assertTuplesClose(test_huslp, colors['huslp'])
# Test backward functions
test_lch = husl.husl_to_lch(colors['husl'])
self.assertTuplesClose(test_lch, colors['lch'])
test_lch = husl.huslp_to_lch(colors['huslp'])
self.assertTuplesClose(test_lch, colors['lch'])
test_luv = husl.lch_to_luv(test_lch)
self.assertTuplesClose(test_luv, colors['luv'])
test_xyz = husl.luv_to_xyz(test_luv)
self.assertTuplesClose(test_xyz, colors['xyz'])
test_rgb = husl.xyz_to_rgb(test_xyz)
self.assertTuplesClose(test_rgb, colors['rgb'])
self.assertEqual(husl.rgb_to_hex(test_rgb), hex_color)
# Full test
self.assertEqual(husl.husl_to_hex(*colors['husl']), hex_color)
self.assertTuplesClose(husl.hex_to_husl(hex_color), colors['husl'])
self.assertEqual(husl.huslp_to_hex(*colors['huslp']), hex_color)
self.assertTuplesClose(husl.hex_to_huslp(hex_color), colors['huslp'])
def test_lch_to_husl_3d():
img = _img()
lch_new = nphusl.rgb_to_lch(img)
hsl_new = nphusl.lch_to_husl(lch_new)
for row in range(lch_new.shape[0]):
for col in range(lch_new.shape[1]):
lch_old = husl.rgb_to_lch(*img[row, col])
assert _diff(lch_old, lch_new[row, col])
hsl_old = husl.lch_to_husl(lch_old)
assert _diff(hsl_new[row, col], hsl_old)
def test_lch_to_husl_3d():
img = _img()
lch_new = _nphusl._rgb_to_lch(img)
hsl_new = _nphusl._lch_to_husl(lch_new)
for row in range(lch_new.shape[0]):
for col in range(lch_new.shape[1]):
lch_old = _ref_to_lch(img[row, col])
_diff(lch_old, lch_new[row, col])
hsl_old = husl.lch_to_husl(lch_old)
_diff(hsl_new[row, col], hsl_old)
def test_lch_to_husl():
rgb_arr = _img()
lch_arr = nphusl.rgb_to_lch(rgb_arr)
hsl_from_lch_arr = nphusl.lch_to_husl(lch_arr)
hsl_from_rgb_arr = nphusl.rgb_to_husl(rgb_arr)
print(rgb_arr[30:34, 0])
print(hsl_from_lch_arr[30:34, 0])
print(hsl_from_rgb_arr[30:34, 0])
for i in range(rgb_arr.shape[0]):
old_lch = husl.rgb_to_lch(*rgb_arr[i, 0])
hsl_old = husl.lch_to_husl(old_lch)
hsl_old = husl.rgb_to_husl(*rgb_arr[i, 0])
assert _diff(lch_arr[i, 0], old_lch)
assert _diff_hue(hsl_from_lch_arr[i, 0], hsl_from_rgb_arr[i, 0])
assert _diff_hue(hsl_from_lch_arr[i, 0], hsl_from_rgb_arr[i, 0])
def test_snapshot(self):
for hex_color, colors in self.snapshot.items():
# Test forward functions
test_rgb = husl.hex_to_rgb(hex_color)
self.assertTuplesClose(test_rgb, colors['rgb'])
test_xyz = husl.rgb_to_xyz(test_rgb)
self.assertTuplesClose(test_xyz, colors['xyz'])
test_luv = husl.xyz_to_luv(test_xyz)
self.assertTuplesClose(test_luv, colors['luv'])
test_lch = husl.luv_to_lch(test_luv)
self.assertTuplesClose(test_lch, colors['lch'])
test_husl = husl.lch_to_husl(test_lch)
self.assertTuplesClose(test_husl, colors['husl'])
test_huslp = husl.lch_to_huslp(test_lch)
self.assertTuplesClose(test_huslp, colors['huslp'])
# Test backward functions
test_lch = husl.husl_to_lch(colors['husl'])
self.assertTuplesClose(test_lch, colors['lch'])
test_lch = husl.huslp_to_lch(colors['huslp'])
self.assertTuplesClose(test_lch, colors['lch'])
test_luv = husl.lch_to_luv(test_lch)
self.assertTuplesClose(test_luv, colors['luv'])
test_xyz = husl.luv_to_xyz(test_luv)
self.assertTuplesClose(test_xyz, colors['xyz'])
test_rgb = husl.xyz_to_rgb(test_xyz)
self.assertTuplesClose(test_rgb, colors['rgb'])
self.assertEqual(husl.rgb_to_hex(test_rgb), hex_color)
# Full test
self.assertEqual(husl.husl_to_hex(*colors['husl']), hex_color)
self.assertTuplesClose(husl.hex_to_husl(hex_color), colors['husl'])
self.assertEqual(husl.huslp_to_hex(*colors['huslp']), hex_color)
self.assertTuplesClose(husl.hex_to_huslp(hex_color),
colors['huslp'])
