restored correct bound calculation
test different bounds options
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@ -186,7 +186,7 @@ class Colormap(mpl.colors.ListedColormap):
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np.logical_or (np.isnan(field), field == gap)) # mask gap and NaN (if gap present)
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np.logical_or (np.isnan(field), field == gap)) # mask gap and NaN (if gap present)
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if bounds is None:
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if bounds is None:
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hi,lo = field[mask].min(),field[mask].max()
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hi,lo = field[mask].max(),field[mask].min()
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else:
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else:
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hi,lo = bounds[::-1]
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hi,lo = bounds[::-1]
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@ -131,13 +131,14 @@ class TestColormap:
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c += c
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c += c
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assert (np.allclose(c.colors[:len(c.colors)//2],c.colors[len(c.colors)//2:]))
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assert (np.allclose(c.colors[:len(c.colors)//2],c.colors[len(c.colors)//2:]))
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def test_shade(self,reference_dir,update):
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@pytest.mark.parametrize('bounds',[None,[2,10]])
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def test_shade(self,reference_dir,update,bounds):
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data = np.add(*np.indices((10, 11)))
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data = np.add(*np.indices((10, 11)))
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img_current = Colormap.from_predefined('orientation').shade(data)
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img_current = Colormap.from_predefined('orientation').shade(data,bounds=bounds)
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if update:
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if update:
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img_current.save(reference_dir/'shade.png')
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img_current.save(reference_dir/f'shade_{bounds}.png')
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else:
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else:
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img_reference = Image.open(reference_dir/'shade.png')
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img_reference = Image.open(reference_dir/f'shade_{bounds}.png')
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diff = ImageChops.difference(img_reference.convert('RGB'),img_current.convert('RGB'))
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diff = ImageChops.difference(img_reference.convert('RGB'),img_current.convert('RGB'))
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assert not diff.getbbox()
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assert not diff.getbbox()
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