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105 lines
2.7 KiB
Python
105 lines
2.7 KiB
Python
from __future__ import annotations
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import pytest
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from PIL import Image
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from .helper import assert_image_equal, hopper
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@pytest.mark.parametrize("mode", ("1", "P", "L", "RGB", "I", "F"))
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def test_crop(mode: str) -> None:
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im = hopper(mode)
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assert_image_equal(im.crop(), im)
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cropped = im.crop((50, 50, 100, 100))
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assert cropped.mode == mode
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assert cropped.size == (50, 50)
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def test_wide_crop() -> None:
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def crop(bbox: tuple[int, int, int, int]) -> tuple[int, ...]:
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i = im.crop(bbox)
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h = i.histogram()
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while h and not h[-1]:
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del h[-1]
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return tuple(h)
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im = Image.new("L", (100, 100), 1)
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assert crop((0, 0, 100, 100)) == (0, 10000)
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assert crop((25, 25, 75, 75)) == (0, 2500)
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# sides
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assert crop((-25, 0, 25, 50)) == (1250, 1250)
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assert crop((0, -25, 50, 25)) == (1250, 1250)
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assert crop((75, 0, 125, 50)) == (1250, 1250)
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assert crop((0, 75, 50, 125)) == (1250, 1250)
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assert crop((-25, 25, 125, 75)) == (2500, 5000)
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assert crop((25, -25, 75, 125)) == (2500, 5000)
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# corners
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assert crop((-25, -25, 25, 25)) == (1875, 625)
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assert crop((75, -25, 125, 25)) == (1875, 625)
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assert crop((75, 75, 125, 125)) == (1875, 625)
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assert crop((-25, 75, 25, 125)) == (1875, 625)
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@pytest.mark.parametrize("box", ((8, 2, 2, 8), (2, 8, 8, 2), (8, 8, 2, 2)))
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def test_negative_crop(box: tuple[int, int, int, int]) -> None:
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im = Image.new("RGB", (10, 10))
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with pytest.raises(ValueError):
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im.crop(box)
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def test_crop_float() -> None:
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# Check cropping floats are rounded to nearest integer
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# https://github.com/python-pillow/Pillow/issues/1744
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# Arrange
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im = Image.new("RGB", (10, 10))
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assert im.size == (10, 10)
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# Act
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cropped = im.crop((0.9, 1.1, 4.2, 5.8))
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# Assert
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assert cropped.size == (3, 5)
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def test_crop_crash() -> None:
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# Image.crop crashes prepatch with an access violation
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# apparently a use after free on Windows, see
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# https://github.com/python-pillow/Pillow/issues/1077
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test_img = "Tests/images/bmp/g/pal8-0.bmp"
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extents = (1, 1, 10, 10)
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# works prepatch
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with Image.open(test_img) as img:
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img1 = img.crop(extents)
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img1.load()
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# fail prepatch
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with Image.open(test_img) as img:
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img2 = img.crop(extents)
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img2.load()
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def test_crop_zero() -> None:
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im = Image.new("RGB", (0, 0), "white")
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cropped = im.crop((0, 0, 0, 0))
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assert cropped.size == (0, 0)
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cropped = im.crop((10, 10, 20, 20))
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assert cropped.size == (10, 10)
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assert cropped.getdata()[0] == (0, 0, 0)
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im = Image.new("RGB", (0, 0))
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cropped = im.crop((10, 10, 20, 20))
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assert cropped.size == (10, 10)
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assert cropped.getdata()[2] == (0, 0, 0)
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