470 lines
15 KiB
Python
470 lines
15 KiB
Python
# vim: set fileencoding=utf-8 :
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import pytest
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import pyvips
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from helpers import assert_almost_equal_objects
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class TestCreate:
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def test_black(self):
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im = pyvips.Image.black(100, 100)
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assert im.width == 100
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assert im.height == 100
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assert im.format == pyvips.BandFormat.UCHAR
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assert im.bands == 1
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for i in range(0, 100):
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pixel = im(i, i)
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assert len(pixel) == 1
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assert pixel[0] == 0
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im = pyvips.Image.black(100, 100, bands=3)
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assert im.width == 100
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assert im.height == 100
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assert im.format == pyvips.BandFormat.UCHAR
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assert im.bands == 3
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for i in range(0, 100):
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pixel = im(i, i)
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assert len(pixel) == 3
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assert_almost_equal_objects(pixel, [0, 0, 0])
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def test_buildlut(self):
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M = pyvips.Image.new_from_array([[0, 0],
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[255, 100]])
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lut = M.buildlut()
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assert lut.width == 256
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assert lut.height == 1
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assert lut.bands == 1
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p = lut(0, 0)
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assert p[0] == 0.0
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p = lut(255, 0)
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assert p[0] == 100.0
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p = lut(10, 0)
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assert p[0] == 100 * 10.0 / 255.0
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M = pyvips.Image.new_from_array([[0, 0, 100],
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[255, 100, 0],
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[128, 10, 90]])
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lut = M.buildlut()
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assert lut.width == 256
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assert lut.height == 1
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assert lut.bands == 2
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p = lut(0, 0)
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assert_almost_equal_objects(p, [0.0, 100.0])
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p = lut(64, 0)
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assert_almost_equal_objects(p, [5.0, 95.0])
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def test_eye(self):
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im = pyvips.Image.eye(100, 90)
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assert im.width == 100
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assert im.height == 90
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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assert im.max() == 1.0
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assert im.min() == -1.0
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im = pyvips.Image.eye(100, 90, uchar=True)
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assert im.width == 100
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assert im.height == 90
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.UCHAR
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assert im.max() == 255.0
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assert im.min() == 0.0
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@pytest.mark.skipif(pyvips.type_find("VipsOperation", "fwfft") == 0,
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reason="no FFTW, skipping test")
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def test_fractsurf(self):
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im = pyvips.Image.fractsurf(100, 90, 2.5)
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assert im.width == 100
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assert im.height == 90
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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def test_gaussmat(self):
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im = pyvips.Image.gaussmat(1, 0.1)
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assert im.width == 5
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assert im.height == 5
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.DOUBLE
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assert im.max() == 20
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total = im.avg() * im.width * im.height
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scale = im.get("scale")
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assert total == scale
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p = im(im.width / 2, im.height / 2)
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assert p[0] == 20.0
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im = pyvips.Image.gaussmat(1, 0.1,
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separable=True, precision="float")
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assert im.width == 5
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assert im.height == 1
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.DOUBLE
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assert im.max() == 1.0
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total = im.avg() * im.width * im.height
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scale = im.get("scale")
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assert total == scale
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p = im(im.width / 2, im.height / 2)
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assert p[0] == 1.0
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def test_gaussnoise(self):
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im = pyvips.Image.gaussnoise(100, 90)
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assert im.width == 100
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assert im.height == 90
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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im = pyvips.Image.gaussnoise(100, 90, sigma=10, mean=100)
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assert im.width == 100
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assert im.height == 90
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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sigma = im.deviate()
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mean = im.avg()
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assert sigma == pytest.approx(10, abs=0.4)
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assert mean == pytest.approx(100, abs=0.4)
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def test_grey(self):
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im = pyvips.Image.grey(100, 90)
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assert im.width == 100
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assert im.height == 90
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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p = im(0, 0)
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assert p[0] == 0.0
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p = im(99, 0)
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assert p[0] == 1.0
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p = im(0, 89)
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assert p[0] == 0.0
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p = im(99, 89)
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assert p[0] == 1.0
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im = pyvips.Image.grey(100, 90, uchar=True)
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assert im.width == 100
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assert im.height == 90
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.UCHAR
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p = im(0, 0)
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assert p[0] == 0
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p = im(99, 0)
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assert p[0] == 255
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p = im(0, 89)
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assert p[0] == 0
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p = im(99, 89)
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assert p[0] == 255
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def test_identity(self):
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im = pyvips.Image.identity()
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assert im.width == 256
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assert im.height == 1
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.UCHAR
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p = im(0, 0)
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assert p[0] == 0.0
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p = im(255, 0)
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assert p[0] == 255.0
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p = im(128, 0)
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assert p[0] == 128.0
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im = pyvips.Image.identity(ushort=True)
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assert im.width == 65536
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assert im.height == 1
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.USHORT
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p = im(0, 0)
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assert p[0] == 0
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p = im(99, 0)
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assert p[0] == 99
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p = im(65535, 0)
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assert p[0] == 65535
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def test_invertlut(self):
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lut = pyvips.Image.new_from_array([[0.1, 0.2, 0.3, 0.1],
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[0.2, 0.4, 0.4, 0.2],
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[0.7, 0.5, 0.6, 0.3]])
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im = lut.invertlut()
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assert im.width == 256
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assert im.height == 1
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assert im.bands == 3
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assert im.format == pyvips.BandFormat.DOUBLE
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p = im(0, 0)
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assert_almost_equal_objects(p, [0, 0, 0])
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p = im(255, 0)
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assert_almost_equal_objects(p, [1, 1, 1])
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p = im(0.2 * 255, 0)
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assert p[0] == pytest.approx(0.1, abs=0.1)
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p = im(0.3 * 255, 0)
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assert p[1] == pytest.approx(0.1, abs=0.1)
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p = im(0.1 * 255, 0)
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assert p[2] == pytest.approx(0.1, abs=0.1)
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def test_matrixinvert(self):
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# 4x4 matrix to check if PLU decomposition works
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mat = pyvips.Image.new_from_array([[4, 0, 0, 0],
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[0, 0, 2, 0],
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[0, 1, 2, 0],
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[1, 0, 0, 1]])
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im = mat.matrixinvert()
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assert im.width == 4
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assert im.height == 4
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.DOUBLE
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p = im(0, 0)
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assert p[0] == 0.25
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p = im(3, 3)
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assert p[0] == 1.0
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def test_logmat(self):
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im = pyvips.Image.logmat(1, 0.1)
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assert im.width == 7
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assert im.height == 7
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.DOUBLE
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assert im.max() == 20
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total = im.avg() * im.width * im.height
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scale = im.get("scale")
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assert total == scale
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p = im(im.width / 2, im.height / 2)
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assert p[0] == 20.0
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im = pyvips.Image.logmat(1, 0.1,
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separable=True, precision="float")
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assert im.width == 7
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assert im.height == 1
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.DOUBLE
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assert im.max() == 1.0
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total = im.avg() * im.width * im.height
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scale = im.get("scale")
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assert total == scale
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p = im(im.width / 2, im.height / 2)
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assert p[0] == 1.0
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def test_mask_butterworth_band(self):
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im = pyvips.Image.mask_butterworth_band(128, 128, 2,
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0.5, 0.5, 0.7,
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0.1)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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assert im.max() == pytest.approx(1, abs=0.01)
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p = im(32, 32)
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assert p[0] == 1.0
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im = pyvips.Image.mask_butterworth_band(128, 128, 2,
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0.5, 0.5, 0.7,
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0.1, uchar=True, optical=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.UCHAR
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assert im.max() == 255
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p = im(32, 32)
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assert p[0] == 255.0
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p = im(64, 64)
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assert p[0] == 255.0
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im = pyvips.Image.mask_butterworth_band(128, 128, 2,
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0.5, 0.5, 0.7,
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0.1, uchar=True, optical=True,
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nodc=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.UCHAR
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assert im.max() == 255
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p = im(32, 32)
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assert p[0] == 255.0
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p = im(64, 64)
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assert p[0] != 255
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def test_mask_butterworth(self):
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im = pyvips.Image.mask_butterworth(128, 128, 2, 0.7, 0.1,
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nodc=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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assert im.min() == pytest.approx(0, abs=0.01)
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p = im(0, 0)
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assert p[0] == 0.0
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v, x, y = im.maxpos()
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assert x == 64
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assert y == 64
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im = pyvips.Image.mask_butterworth(128, 128, 2, 0.7, 0.1,
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optical=True, uchar=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.UCHAR
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assert im.min() == pytest.approx(0, abs=0.01)
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p = im(64, 64)
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assert p[0] == 255
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def test_mask_butterworth_ring(self):
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im = pyvips.Image.mask_butterworth_ring(128, 128, 2, 0.7, 0.1, 0.5,
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nodc=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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p = im(45, 0)
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assert p[0] == pytest.approx(1.0, abs=0.0001)
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v, x, y = im.minpos()
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assert x == 64
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assert y == 64
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def test_mask_fractal(self):
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im = pyvips.Image.mask_fractal(128, 128, 2.3)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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def test_mask_gaussian_band(self):
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im = pyvips.Image.mask_gaussian_band(128, 128, 0.5, 0.5, 0.7, 0.1)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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assert im.max() == pytest.approx(1, abs=0.01)
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p = im(32, 32)
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assert p[0] == 1.0
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def test_mask_gaussian(self):
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im = pyvips.Image.mask_gaussian(128, 128, 0.7, 0.1,
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nodc=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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assert im.min() == pytest.approx(0, abs=0.01)
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p = im(0, 0)
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assert p[0] == 0.0
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def test_mask_gaussian_ring(self):
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im = pyvips.Image.mask_gaussian_ring(128, 128, 0.7, 0.1, 0.5,
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nodc=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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p = im(45, 0)
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assert p[0] == pytest.approx(1.0, abs=0.001)
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def test_mask_ideal_band(self):
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im = pyvips.Image.mask_ideal_band(128, 128, 0.5, 0.5, 0.7)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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assert im.max() == pytest.approx(1, abs=0.01)
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p = im(32, 32)
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assert p[0] == 1.0
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def test_mask_ideal(self):
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im = pyvips.Image.mask_ideal(128, 128, 0.7,
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nodc=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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assert im.min() == pytest.approx(0, abs=0.01)
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p = im(0, 0)
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assert p[0] == 0.0
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def test_mask_gaussian_ring_2(self):
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im = pyvips.Image.mask_ideal_ring(128, 128, 0.7, 0.5,
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nodc=True)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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p = im(45, 0)
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assert p[0] == pytest.approx(1, abs=0.001)
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def test_sines(self):
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im = pyvips.Image.sines(128, 128)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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@pytest.mark.skipif(pyvips.type_find("VipsOperation", "text") == 0,
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reason="no text, skipping test")
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def test_text(self):
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im = pyvips.Image.text("Hello, world!")
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assert im.width > 10
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assert im.height > 10
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.UCHAR
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assert im.max() == 255
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assert im.min() == 0
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# test autofit
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im = pyvips.Image.text("Hello, world!", width=500, height=500)
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# quite a large threshold, since we need to work with a huge range of
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# text rendering systems
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assert abs(im.width - 500) < 50
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# test wrap
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im1 = pyvips.Image.text("helloworld", width=100, dpi=500)
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im2 = pyvips.Image.text("helloworld", width=100, dpi=500, wrap="char")
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assert im1.width > im2.width
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def test_tonelut(self):
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im = pyvips.Image.tonelut()
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.USHORT
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assert im.width == 32768
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assert im.height == 1
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assert im.hist_ismonotonic()
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def test_xyz(self):
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im = pyvips.Image.xyz(128, 128)
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assert im.bands == 2
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assert im.format == pyvips.BandFormat.UINT
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assert im.width == 128
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assert im.height == 128
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p = im(45, 35)
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assert_almost_equal_objects(p, [45, 35])
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def test_zone(self):
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im = pyvips.Image.zone(128, 128)
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assert im.width == 128
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assert im.height == 128
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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@pytest.mark.skipif(pyvips.type_find("VipsOperation", "worley") == 0,
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reason="no worley, skipping test")
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def test_worley(self):
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im = pyvips.Image.worley(512, 512)
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assert im.width == 512
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assert im.height == 512
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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@pytest.mark.skipif(pyvips.type_find("VipsOperation", "perlin") == 0,
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reason="no perlin, skipping test")
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def test_perlin(self):
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im = pyvips.Image.perlin(512, 512)
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assert im.width == 512
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assert im.height == 512
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assert im.bands == 1
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assert im.format == pyvips.BandFormat.FLOAT
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if __name__ == '__main__':
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pytest.main()
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