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Co-authored-by: Hugo van Kemenade <hugovk@users.noreply.github.com>
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Yay295 2022-08-29 11:35:06 -05:00 committed by GitHub
parent 2fd3cb55d2
commit 09a7255ced
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3 changed files with 20 additions and 20 deletions
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2
Tests/test_image_filter.py
View File

@ -74,7 +74,7 @@ def test_modefilter(mode, expected):
@pytest.mark.parametrize(
"mode,expected",
"mode, expected",
(
("1", (0, 4, 8)),
("L", (0, 4, 8)),

16
Tests/test_image_reduce.py
View File

@ -39,7 +39,7 @@ gradients_image.load()
@pytest.mark.parametrize(
"size,expected",
"size, expected",
(
(3, (4, 4)),
((3, 1), (4, 10)),
@ -52,16 +52,16 @@ def test_args_factor(size, expected):
@pytest.mark.parametrize(
"size,error", ((0, ValueError), (2.0, TypeError), ((0, 10), ValueError))
"size, expected_error", ((0, ValueError), (2.0, TypeError), ((0, 10), ValueError))
)
def test_args_factor_error(size, error):
def test_args_factor_error(size, expected_error):
im = Image.new("L", (10, 10))
with pytest.raises(error):
with pytest.raises(expected_error):
im.reduce(size)
@pytest.mark.parametrize(
"size,expected",
"size, expected",
(
((0, 0, 10, 10), (5, 5)),
((5, 5, 6, 6), (1, 1)),
@ -73,7 +73,7 @@ def test_args_box(size, expected):
@pytest.mark.parametrize(
"size,error",
"size, expected_error",
(
("stri", TypeError),
((0, 0, 11, 10), ValueError),
@ -84,9 +84,9 @@ def test_args_box(size, expected):
((5, 0, 5, 10), ValueError),
),
)
def test_args_box_error(size, error):
def test_args_box_error(size, expected_error):
im = Image.new("L", (10, 10))
with pytest.raises(error):
with pytest.raises(expected_error):
im.reduce(2, size).size

22
Tests/test_image_transform.py
View File

@ -76,14 +76,14 @@ class TestImageTransform:
assert_image_equal(transformed, scaled)
@pytest.mark.parametrize(
"mode,pixel",
"mode, expected_pixel",
(
("RGB", (255, 0, 0)),
("RGBA", (255, 0, 0, 255)),
("LA", (76, 0)),
),
)
def test_fill(self, mode, pixel):
def test_fill(self, mode, expected_pixel):
im = hopper(mode)
(w, h) = im.size
transformed = im.transform(
@ -93,7 +93,7 @@ class TestImageTransform:
Image.Resampling.BILINEAR,
fillcolor="red",
)
assert transformed.getpixel((w - 1, h - 1)) == pixel
assert transformed.getpixel((w - 1, h - 1)) == expected_pixel
def test_mesh(self):
# this should be a checkerboard of halfsized hoppers in ul, lr
@ -240,7 +240,7 @@ class TestImageTransformAffine:
return im.crop((10, 20, im.width - 10, im.height - 20))
@pytest.mark.parametrize(
"deg,transpose",
"deg, transpose",
(
(0, None),
(90, Image.Transpose.ROTATE_90),
@ -281,7 +281,7 @@ class TestImageTransformAffine:
assert_image_equal(transposed, transformed)
@pytest.mark.parametrize(
"scale,epsilonscale",
"scale, epsilon_scale",
(
(1.1, 6.9),
(1.5, 5.5),
@ -298,7 +298,7 @@ class TestImageTransformAffine:
(Image.Resampling.BICUBIC, 1),
),
)
def test_resize(self, scale, epsilonscale, resample, epsilon):
def test_resize(self, scale, epsilon_scale, resample, epsilon):
im = self._test_image()
size_up = int(round(im.width * scale)), int(round(im.height * scale))
@ -309,10 +309,10 @@ class TestImageTransformAffine:
transformed = transformed.transform(
im.size, self.transform, matrix_down, resample
)
assert_image_similar(transformed, im, epsilon * epsilonscale)
assert_image_similar(transformed, im, epsilon * epsilon_scale)
@pytest.mark.parametrize(
"x,y,epsilonscale",
"x, y, epsilon_scale",
(
(0.1, 0, 3.7),
(0.6, 0, 9.1),
@ -320,14 +320,14 @@ class TestImageTransformAffine:
),
)
@pytest.mark.parametrize(
"resample,epsilon",
"resample, epsilon",
(
(Image.Resampling.NEAREST, 0),
(Image.Resampling.BILINEAR, 1.5),
(Image.Resampling.BICUBIC, 1),
),
)
def test_translate(self, x, y, epsilonscale, resample, epsilon):
def test_translate(self, x, y, epsilon_scale, resample, epsilon):
im = self._test_image()
size_up = int(round(im.width + x)), int(round(im.height + y))
@ -338,7 +338,7 @@ class TestImageTransformAffine:
transformed = transformed.transform(
im.size, self.transform, matrix_down, resample
)
assert_image_similar(transformed, im, epsilon * epsilonscale)
assert_image_similar(transformed, im, epsilon * epsilon_scale)
class TestImageTransformPerspective(TestImageTransformAffine):