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144 lines
4.1 KiB
Python
144 lines
4.1 KiB
Python
import pytest
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from PIL import Image
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from .helper import (
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assert_image_equal,
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assert_image_similar,
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fromstring,
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hopper,
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skip_unless_feature,
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tostring,
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)
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def test_sanity():
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im = hopper()
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assert im.thumbnail((100, 100)) is None
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assert im.size == (100, 100)
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def test_aspect():
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im = Image.new("L", (128, 128))
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im.thumbnail((100, 100))
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assert im.size == (100, 100)
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im = Image.new("L", (128, 256))
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im.thumbnail((100, 100))
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assert im.size == (50, 100)
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im = Image.new("L", (128, 256))
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im.thumbnail((50, 100))
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assert im.size == (50, 100)
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im = Image.new("L", (256, 128))
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im.thumbnail((100, 100))
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assert im.size == (100, 50)
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im = Image.new("L", (256, 128))
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im.thumbnail((100, 50))
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assert im.size == (100, 50)
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im = Image.new("L", (64, 64))
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im.thumbnail((100, 100))
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assert im.size == (64, 64)
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im = Image.new("L", (256, 162)) # ratio is 1.5802469136
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im.thumbnail((33, 33))
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assert im.size == (33, 21) # ratio is 1.5714285714
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im = Image.new("L", (162, 256)) # ratio is 0.6328125
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im.thumbnail((33, 33))
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assert im.size == (21, 33) # ratio is 0.6363636364
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im = Image.new("L", (145, 100)) # ratio is 1.45
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im.thumbnail((50, 50))
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assert im.size == (50, 34) # ratio is 1.47058823529
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im = Image.new("L", (100, 145)) # ratio is 0.689655172414
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im.thumbnail((50, 50))
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assert im.size == (34, 50) # ratio is 0.68
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im = Image.new("L", (100, 30)) # ratio is 3.333333333333
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im.thumbnail((75, 75))
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assert im.size == (75, 23) # ratio is 3.260869565217
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def test_division_by_zero():
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im = Image.new("L", (200, 2))
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im.thumbnail((75, 75))
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assert im.size == (75, 1)
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def test_float():
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im = Image.new("L", (128, 128))
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im.thumbnail((99.9, 99.9))
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assert im.size == (99, 99)
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def test_no_resize():
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# Check that draft() can resize the image to the destination size
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with Image.open("Tests/images/hopper.jpg") as im:
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im.draft(None, (64, 64))
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assert im.size == (64, 64)
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# Test thumbnail(), where only draft() is necessary to resize the image
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with Image.open("Tests/images/hopper.jpg") as im:
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im.thumbnail((64, 64))
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assert im.size == (64, 64)
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@skip_unless_feature("libtiff")
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def test_load_first():
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# load() may change the size of the image
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# Test that thumbnail() is calling it before performing size calculations
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with Image.open("Tests/images/g4_orientation_5.tif") as im:
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im.thumbnail((64, 64))
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assert im.size == (64, 10)
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# valgrind test is failing with memory allocated in libjpeg
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@pytest.mark.valgrind_known_error(reason="Known Failing")
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def test_DCT_scaling_edges():
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# Make an image with red borders and size (N * 8) + 1 to cross DCT grid
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im = Image.new("RGB", (257, 257), "red")
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im.paste(Image.new("RGB", (235, 235)), (11, 11))
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thumb = fromstring(tostring(im, "JPEG", quality=99, subsampling=0))
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# small reducing_gap to amplify the effect
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thumb.thumbnail((32, 32), Image.Resampling.BICUBIC, reducing_gap=1.0)
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ref = im.resize((32, 32), Image.Resampling.BICUBIC)
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# This is still JPEG, some error is present. Without the fix it is 11.5
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assert_image_similar(thumb, ref, 1.5)
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def test_reducing_gap_values():
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im = hopper()
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im.thumbnail((18, 18), Image.Resampling.BICUBIC)
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ref = hopper()
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ref.thumbnail((18, 18), Image.Resampling.BICUBIC, reducing_gap=2.0)
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# reducing_gap=2.0 should be the default
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assert_image_equal(ref, im)
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ref = hopper()
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ref.thumbnail((18, 18), Image.Resampling.BICUBIC, reducing_gap=None)
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with pytest.raises(AssertionError):
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assert_image_equal(ref, im)
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assert_image_similar(ref, im, 3.5)
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def test_reducing_gap_for_DCT_scaling():
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with Image.open("Tests/images/hopper.jpg") as ref:
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# thumbnail should call draft with reducing_gap scale
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ref.draft(None, (18 * 3, 18 * 3))
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ref = ref.resize((18, 18), Image.Resampling.BICUBIC)
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with Image.open("Tests/images/hopper.jpg") as im:
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im.thumbnail((18, 18), Image.Resampling.BICUBIC, reducing_gap=3.0)
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assert_image_similar(ref, im, 1.4)
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