def test_hsvratio_average_value(h, s, v, ratio, val, expected):
r = image.HSVRatio(hue=h, saturation=s, value=v, ratio=ratio)
r.average_value(val)
assert r.h == h
assert r.s == s
assert r.v == expected
assert r.ratio == ratio
def test_hsvratio_init():
ratio = image.HSVRatio()
assert ratio.h == 0.0
assert ratio.s == 0.0
assert ratio.v == 0.0
assert ratio.ratio == 0.0
def test_hsvratio_init_params():
ratio = image.HSVRatio(hue=15.2, saturation=99.1, value=54.3, ratio=1.0)
assert ratio.h == 15.2
assert ratio.s == 99.1
assert ratio.v == 54.3
assert ratio.ratio == 1.0
def test_hsvratio_average(h, s, v, ratio, th, ts, tv, eh, es, ev, eratio):
r = image.HSVRatio(hue=h, saturation=s, value=v, ratio=ratio)
r.average(th, ts, tv)
assert r.h == eh
assert r.s == es
assert r.v == ev
assert r.ratio == eratio
def test_hsvratio_hue(h, s, v, ratio, fullspectrum, bri_min, bri_max, expected):
r = image.HSVRatio(hue=h, saturation=s, value=v, ratio=ratio)
assert r.hue(fullspectrum, bri_min, bri_max) == expected