73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
from panda3d.core import PNMImage, PNMImageHeader
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from random import randint
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def test_pixelspec_ctor():
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assert tuple(PNMImage.PixelSpec(1)) == (1, 1, 1, 0)
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assert tuple(PNMImage.PixelSpec(1, 2)) == (1, 1, 1, 2)
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assert tuple(PNMImage.PixelSpec(1, 2, 3)) == (1, 2, 3, 0)
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assert tuple(PNMImage.PixelSpec(1, 2, 3, 4)) == (1, 2, 3, 4)
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assert tuple(PNMImage.PixelSpec((1, 2, 3))) == (1, 2, 3, 0)
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assert tuple(PNMImage.PixelSpec((1, 2, 3), 4)) == (1, 2, 3, 4)
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# Copy constructor
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spec = PNMImage.PixelSpec(1, 2, 3, 4)
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assert tuple(PNMImage.PixelSpec(spec)) == (1, 2, 3, 4)
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def test_pixelspec_coerce():
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img = PNMImage(1, 1, 4)
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img.set_pixel(0, 0, (1, 2, 3, 4))
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assert img.get_pixel(0, 0) == (1, 2, 3, 4)
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def test_pnmimage_to_val():
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img = PNMImage(1, 1)
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assert img.to_val(-0.5) == 0
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assert img.to_val(0.0) == 0
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assert img.to_val(0.5) == 128
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assert img.to_val(1.0) == 255
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assert img.to_val(2.0) == 255
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def test_pnmimage_from_val():
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img = PNMImage(1, 1)
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assert img.from_val(0) == 0.0
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assert img.to_val(img.from_val(128)) == 128
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assert img.from_val(255) == 1.0
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def test_pnmimage_quantize():
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img = PNMImage(32, 32, 3)
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for x in range(32):
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for y in range(32):
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img.set_xel_val(x, y, randint(0, 100), randint(50, 100), randint(0, 1))
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hist = PNMImage.Histogram()
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img.make_histogram(hist)
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num_colors = hist.get_num_pixels()
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assert num_colors > 100
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img2 = PNMImage(img)
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img2.quantize(100)
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hist = PNMImage.Histogram()
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img2.make_histogram(hist)
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assert hist.get_num_pixels() <= 100
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# Make sure that this is reasonably close
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max_dist = 0
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for x in range(32):
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for y in range(32):
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diff = img.get_xel(x, y) - img2.get_xel(x, y)
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max_dist = max(max_dist, diff.length_squared())
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# Also make sure that they are not out of range of the original
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col = img2.get_xel_val(x, y)
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assert col.r <= 100
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assert col.g >= 50 and col.g <= 100
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assert col.b in (0, 1)
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assert max_dist < 0.1 ** 2
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