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rename variable "resample" to "resampling_filter"

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This commit is contained in:
Yay295 2022-10-08 16:52:21 -05:00
parent 738afe3b85
commit 0a827f0c77
1 changed files with 16 additions and 13 deletions
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29
Tests/test_image_resize.py
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@ -47,7 +47,7 @@ class TestImagingCoreResize:
assert r.im.bands == im.im.bands
@pytest.mark.parametrize(
"resample",
"resampling_filter",
(
Image.Resampling.NEAREST,
Image.Resampling.BOX,
@ -57,13 +57,13 @@ class TestImagingCoreResize:
Image.Resampling.LANCZOS,
),
)
def test_reduce_filters(self, resample):
r = self.resize(hopper("RGB"), (15, 12), resample)
def test_reduce_filters(self, resampling_filter):
r = self.resize(hopper("RGB"), (15, 12), resampling_filter)
assert r.mode == "RGB"
assert r.size == (15, 12)
@pytest.mark.parametrize(
"resample",
"resampling_filter",
(
Image.Resampling.NEAREST,
Image.Resampling.BOX,
@ -73,13 +73,13 @@ class TestImagingCoreResize:
Image.Resampling.LANCZOS,
),
)
def test_enlarge_filters(self, resample):
r = self.resize(hopper("RGB"), (212, 195), resample)
def test_enlarge_filters(self, resampling_filter):
r = self.resize(hopper("RGB"), (212, 195), resampling_filter)
assert r.mode == "RGB"
assert r.size == (212, 195)
@pytest.mark.parametrize(
"resample",
"resampling_filter",
(
Image.Resampling.NEAREST,
Image.Resampling.BOX,
@ -97,7 +97,7 @@ class TestImagingCoreResize:
("LA", ("filled", "dirty")),
),
)
def test_endianness(self, resample, mode, channels_set):
def test_endianness(self, resampling_filter, mode, channels_set):
# Make an image with one colored pixel, in one channel.
# When resized, that channel should be the same as a GS image.
# Other channels should be unaffected.
@ -113,13 +113,14 @@ class TestImagingCoreResize:
# samples resized with current filter
references = {
name: self.resize(ch, (4, 4), resample) for name, ch in samples.items()
name: self.resize(ch, (4, 4), resampling_filter)
for name, ch in samples.items()
}
for channels in set(permutations(channels_set)):
# compile image from different channels permutations
im = Image.merge(mode, [samples[ch] for ch in channels])
resized = self.resize(im, (4, 4), resample)
resized = self.resize(im, (4, 4), resampling_filter)
for i, ch in enumerate(resized.split()):
# check what resized channel in image is the same
@ -127,7 +128,7 @@ class TestImagingCoreResize:
assert_image_equal(ch, references[channels[i]])
@pytest.mark.parametrize(
"resample",
"resampling_filter",
(
Image.Resampling.NEAREST,
Image.Resampling.BOX,
@ -137,8 +138,10 @@ class TestImagingCoreResize:
Image.Resampling.LANCZOS,
),
)
def test_enlarge_zero(self, resample):
r = self.resize(Image.new("RGB", (0, 0), "white"), (212, 195), resample)
def test_enlarge_zero(self, resampling_filter):
r = self.resize(
Image.new("RGB", (0, 0), "white"), (212, 195), resampling_filter
)
assert r.mode == "RGB"
assert r.size == (212, 195)
assert r.getdata()[0] == (0, 0, 0)