Pillow/Tests/test_image.py

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import io
import os
import shutil
import tempfile
import unittest
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from PIL import Image, UnidentifiedImageError
from .helper import (
PillowTestCase,
assert_image_equal,
assert_image_similar,
assert_not_all_same,
hopper,
is_win32,
)
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class TestImage(PillowTestCase):
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def test_image_modes_success(self):
for mode in [
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"1",
"P",
"PA",
"L",
"LA",
"La",
"F",
"I",
"I;16",
"I;16L",
"I;16B",
"I;16N",
"RGB",
"RGBX",
"RGBA",
"RGBa",
"CMYK",
"YCbCr",
"LAB",
"HSV",
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]:
Image.new(mode, (1, 1))
def test_image_modes_fail(self):
for mode in [
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"",
"bad",
"very very long",
"BGR;15",
"BGR;16",
"BGR;24",
"BGR;32",
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]:
with self.assertRaises(ValueError) as e:
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Image.new(mode, (1, 1))
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self.assertEqual(str(e.exception), "unrecognized image mode")
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def test_exception_inheritance(self):
self.assertTrue(issubclass(UnidentifiedImageError, IOError))
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def test_sanity(self):
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im = Image.new("L", (100, 100))
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self.assertEqual(repr(im)[:45], "<PIL.Image.Image image mode=L size=100x100 at")
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self.assertEqual(im.mode, "L")
self.assertEqual(im.size, (100, 100))
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im = Image.new("RGB", (100, 100))
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self.assertEqual(repr(im)[:45], "<PIL.Image.Image image mode=RGB size=100x100 ")
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self.assertEqual(im.mode, "RGB")
self.assertEqual(im.size, (100, 100))
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Image.new("L", (100, 100), None)
im2 = Image.new("L", (100, 100), 0)
im3 = Image.new("L", (100, 100), "black")
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self.assertEqual(im2.getcolors(), [(10000, 0)])
self.assertEqual(im3.getcolors(), [(10000, 0)])
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self.assertRaises(ValueError, Image.new, "X", (100, 100))
self.assertRaises(ValueError, Image.new, "", (100, 100))
# self.assertRaises(MemoryError, Image.new, "L", (1000000, 1000000))
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def test_width_height(self):
im = Image.new("RGB", (1, 2))
self.assertEqual(im.width, 1)
self.assertEqual(im.height, 2)
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with self.assertRaises(AttributeError):
im.size = (3, 4)
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def test_invalid_image(self):
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import io
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im = io.BytesIO(b"")
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self.assertRaises(UnidentifiedImageError, Image.open, im)
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def test_bad_mode(self):
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self.assertRaises(ValueError, Image.open, "filename", "bad mode")
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def test_stringio(self):
self.assertRaises(ValueError, Image.open, io.StringIO())
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def test_pathlib(self):
from PIL.Image import Path
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Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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with Image.open(Path("Tests/images/multipage-mmap.tiff")) as im:
self.assertEqual(im.mode, "P")
self.assertEqual(im.size, (10, 10))
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with Image.open(Path("Tests/images/hopper.jpg")) as im:
self.assertEqual(im.mode, "RGB")
self.assertEqual(im.size, (128, 128))
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temp_file = self.tempfile("temp.jpg")
if os.path.exists(temp_file):
os.remove(temp_file)
im.save(Path(temp_file))
def test_fp_name(self):
temp_file = self.tempfile("temp.jpg")
class FP:
def write(a, b):
pass
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fp = FP()
fp.name = temp_file
im = hopper()
im.save(fp)
def test_tempfile(self):
# see #1460, pathlib support breaks tempfile.TemporaryFile on py27
# Will error out on save on 3.0.0
im = hopper()
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with tempfile.TemporaryFile() as fp:
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im.save(fp, "JPEG")
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fp.seek(0)
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with Image.open(fp) as reloaded:
assert_image_similar(im, reloaded, 20)
def test_unknown_extension(self):
im = hopper()
temp_file = self.tempfile("temp.unknown")
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self.assertRaises(ValueError, im.save, temp_file)
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def test_internals(self):
im = Image.new("L", (100, 100))
im.readonly = 1
im._copy()
self.assertFalse(im.readonly)
im.readonly = 1
im.paste(0, (0, 0, 100, 100))
self.assertFalse(im.readonly)
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@unittest.skipIf(is_win32(), "Test requires opening tempfile twice")
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def test_readonly_save(self):
temp_file = self.tempfile("temp.bmp")
shutil.copy("Tests/images/rgb32bf-rgba.bmp", temp_file)
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with Image.open(temp_file) as im:
self.assertTrue(im.readonly)
im.save(temp_file)
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def test_dump(self):
im = Image.new("L", (10, 10))
im._dump(self.tempfile("temp_L.ppm"))
im = Image.new("RGB", (10, 10))
im._dump(self.tempfile("temp_RGB.ppm"))
im = Image.new("HSV", (10, 10))
self.assertRaises(ValueError, im._dump, self.tempfile("temp_HSV.ppm"))
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def test_comparison_with_other_type(self):
# Arrange
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item = Image.new("RGB", (25, 25), "#000")
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num = 12
# Act/Assert
# Shouldn't cause AttributeError (#774)
self.assertFalse(item is None)
self.assertFalse(item == num)
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def test_expand_x(self):
# Arrange
im = hopper()
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orig_size = im.size
xmargin = 5
# Act
im = im._expand(xmargin)
# Assert
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self.assertEqual(im.size[0], orig_size[0] + 2 * xmargin)
self.assertEqual(im.size[1], orig_size[1] + 2 * xmargin)
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def test_expand_xy(self):
# Arrange
im = hopper()
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orig_size = im.size
xmargin = 5
ymargin = 3
# Act
im = im._expand(xmargin, ymargin)
# Assert
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self.assertEqual(im.size[0], orig_size[0] + 2 * xmargin)
self.assertEqual(im.size[1], orig_size[1] + 2 * ymargin)
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def test_getbands(self):
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# Assert
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self.assertEqual(hopper("RGB").getbands(), ("R", "G", "B"))
self.assertEqual(hopper("YCbCr").getbands(), ("Y", "Cb", "Cr"))
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def test_getchannel_wrong_params(self):
im = hopper()
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self.assertRaises(ValueError, im.getchannel, -1)
self.assertRaises(ValueError, im.getchannel, 3)
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self.assertRaises(ValueError, im.getchannel, "Z")
self.assertRaises(ValueError, im.getchannel, "1")
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def test_getchannel(self):
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im = hopper("YCbCr")
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Y, Cb, Cr = im.split()
assert_image_equal(Y, im.getchannel(0))
assert_image_equal(Y, im.getchannel("Y"))
assert_image_equal(Cb, im.getchannel(1))
assert_image_equal(Cb, im.getchannel("Cb"))
assert_image_equal(Cr, im.getchannel(2))
assert_image_equal(Cr, im.getchannel("Cr"))
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def test_getbbox(self):
# Arrange
im = hopper()
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# Act
bbox = im.getbbox()
# Assert
self.assertEqual(bbox, (0, 0, 128, 128))
def test_ne(self):
# Arrange
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im1 = Image.new("RGB", (25, 25), "black")
im2 = Image.new("RGB", (25, 25), "white")
# Act / Assert
self.assertNotEqual(im1, im2)
def test_alpha_composite(self):
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# https://stackoverflow.com/questions/3374878
# Arrange
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from PIL import ImageDraw
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expected_colors = sorted(
[
(1122, (128, 127, 0, 255)),
(1089, (0, 255, 0, 255)),
(3300, (255, 0, 0, 255)),
(1156, (170, 85, 0, 192)),
(1122, (0, 255, 0, 128)),
(1122, (255, 0, 0, 128)),
(1089, (0, 255, 0, 0)),
]
)
dst = Image.new("RGBA", size=(100, 100), color=(0, 255, 0, 255))
draw = ImageDraw.Draw(dst)
draw.rectangle((0, 33, 100, 66), fill=(0, 255, 0, 128))
draw.rectangle((0, 67, 100, 100), fill=(0, 255, 0, 0))
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src = Image.new("RGBA", size=(100, 100), color=(255, 0, 0, 255))
draw = ImageDraw.Draw(src)
draw.rectangle((33, 0, 66, 100), fill=(255, 0, 0, 128))
draw.rectangle((67, 0, 100, 100), fill=(255, 0, 0, 0))
# Act
img = Image.alpha_composite(dst, src)
# Assert
img_colors = sorted(img.getcolors())
self.assertEqual(img_colors, expected_colors)
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def test_alpha_inplace(self):
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src = Image.new("RGBA", (128, 128), "blue")
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over = Image.new("RGBA", (128, 128), "red")
mask = hopper("L")
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over.putalpha(mask)
target = Image.alpha_composite(src, over)
# basic
full = src.copy()
full.alpha_composite(over)
assert_image_equal(full, target)
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# with offset down to right
offset = src.copy()
offset.alpha_composite(over, (64, 64))
assert_image_equal(offset.crop((64, 64, 127, 127)), target.crop((0, 0, 63, 63)))
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self.assertEqual(offset.size, (128, 128))
# offset and crop
box = src.copy()
box.alpha_composite(over, (64, 64), (0, 0, 32, 32))
assert_image_equal(box.crop((64, 64, 96, 96)), target.crop((0, 0, 32, 32)))
assert_image_equal(box.crop((96, 96, 128, 128)), src.crop((0, 0, 32, 32)))
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self.assertEqual(box.size, (128, 128))
# source point
source = src.copy()
source.alpha_composite(over, (32, 32), (32, 32, 96, 96))
assert_image_equal(source.crop((32, 32, 96, 96)), target.crop((32, 32, 96, 96)))
self.assertEqual(source.size, (128, 128))
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# errors
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self.assertRaises(ValueError, source.alpha_composite, over, "invalid source")
self.assertRaises(
ValueError, source.alpha_composite, over, (0, 0), "invalid destination"
)
self.assertRaises(ValueError, source.alpha_composite, over, 0)
self.assertRaises(ValueError, source.alpha_composite, over, (0, 0), 0)
self.assertRaises(ValueError, source.alpha_composite, over, (0, -1))
self.assertRaises(ValueError, source.alpha_composite, over, (0, 0), (0, -1))
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def test_registered_extensions_uninitialized(self):
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# Arrange
Image._initialized = 0
extension = Image.EXTENSION
Image.EXTENSION = {}
# Act
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Image.registered_extensions()
# Assert
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self.assertEqual(Image._initialized, 2)
# Restore the original state and assert
Image.EXTENSION = extension
self.assertTrue(Image.EXTENSION)
def test_registered_extensions(self):
# Arrange
# Open an image to trigger plugin registration
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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with Image.open("Tests/images/rgb.jpg"):
pass
# Act
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extensions = Image.registered_extensions()
# Assert
self.assertTrue(extensions)
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for ext in [".cur", ".icns", ".tif", ".tiff"]:
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self.assertIn(ext, extensions)
def test_effect_mandelbrot(self):
# Arrange
size = (512, 512)
extent = (-3, -2.5, 2, 2.5)
quality = 100
# Act
im = Image.effect_mandelbrot(size, extent, quality)
# Assert
self.assertEqual(im.size, (512, 512))
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with Image.open("Tests/images/effect_mandelbrot.png") as im2:
assert_image_equal(im, im2)
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def test_effect_mandelbrot_bad_arguments(self):
# Arrange
size = (512, 512)
# Get coordinates the wrong way round:
extent = (+3, +2.5, -2, -2.5)
# Quality < 2:
quality = 1
# Act/Assert
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self.assertRaises(ValueError, Image.effect_mandelbrot, size, extent, quality)
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def test_effect_noise(self):
# Arrange
size = (100, 100)
sigma = 128
# Act
im = Image.effect_noise(size, sigma)
# Assert
self.assertEqual(im.size, (100, 100))
self.assertEqual(im.mode, "L")
p0 = im.getpixel((0, 0))
p1 = im.getpixel((0, 1))
p2 = im.getpixel((0, 2))
p3 = im.getpixel((0, 3))
p4 = im.getpixel((0, 4))
assert_not_all_same([p0, p1, p2, p3, p4])
def test_effect_spread(self):
# Arrange
im = hopper()
distance = 10
# Act
im2 = im.effect_spread(distance)
# Assert
self.assertEqual(im.size, (128, 128))
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with Image.open("Tests/images/effect_spread.png") as im3:
assert_image_similar(im2, im3, 110)
def test_check_size(self):
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# Checking that the _check_size function throws value errors
# when we want it to.
with self.assertRaises(ValueError):
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Image.new("RGB", 0) # not a tuple
with self.assertRaises(ValueError):
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Image.new("RGB", (0,)) # Tuple too short
with self.assertRaises(ValueError):
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Image.new("RGB", (-1, -1)) # w,h < 0
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# this should pass with 0 sized images, #2259
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im = Image.new("L", (0, 0))
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self.assertEqual(im.size, (0, 0))
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im = Image.new("L", (0, 100))
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self.assertEqual(im.size, (0, 100))
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im = Image.new("L", (100, 0))
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self.assertEqual(im.size, (100, 0))
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self.assertTrue(Image.new("RGB", (1, 1)))
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# Should pass lists too
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i = Image.new("RGB", [1, 1])
self.assertIsInstance(i.size, tuple)
def test_storage_neg(self):
# Storage.c accepted negative values for xsize, ysize. Was
# test_neg_ppm, but the core function for that has been
# removed Calling directly into core to test the error in
# Storage.c, rather than the size check above
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with self.assertRaises(ValueError):
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Image.core.fill("RGB", (2, -2), (0, 0, 0))
def test_offset_not_implemented(self):
# Arrange
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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with hopper() as im:
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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# Act / Assert
self.assertRaises(NotImplementedError, im.offset, None)
def test_fromstring(self):
self.assertRaises(NotImplementedError, Image.fromstring)
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def test_linear_gradient_wrong_mode(self):
# Arrange
wrong_mode = "RGB"
# Act / Assert
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self.assertRaises(ValueError, Image.linear_gradient, wrong_mode)
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def test_linear_gradient(self):
# Arrange
target_file = "Tests/images/linear_gradient.png"
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for mode in ["L", "P"]:
# Act
im = Image.linear_gradient(mode)
# Assert
self.assertEqual(im.size, (256, 256))
self.assertEqual(im.mode, mode)
self.assertEqual(im.getpixel((0, 0)), 0)
self.assertEqual(im.getpixel((255, 255)), 255)
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with Image.open(target_file) as target:
target = target.convert(mode)
assert_image_equal(im, target)
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def test_radial_gradient_wrong_mode(self):
# Arrange
wrong_mode = "RGB"
# Act / Assert
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self.assertRaises(ValueError, Image.radial_gradient, wrong_mode)
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def test_radial_gradient(self):
# Arrange
target_file = "Tests/images/radial_gradient.png"
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for mode in ["L", "P"]:
# Act
im = Image.radial_gradient(mode)
# Assert
self.assertEqual(im.size, (256, 256))
self.assertEqual(im.mode, mode)
self.assertEqual(im.getpixel((0, 0)), 255)
self.assertEqual(im.getpixel((128, 128)), 0)
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with Image.open(target_file) as target:
target = target.convert(mode)
assert_image_equal(im, target)
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def test_register_extensions(self):
test_format = "a"
exts = ["b", "c"]
for ext in exts:
Image.register_extension(test_format, ext)
ext_individual = Image.EXTENSION.copy()
for ext in exts:
del Image.EXTENSION[ext]
Image.register_extensions(test_format, exts)
ext_multiple = Image.EXTENSION.copy()
for ext in exts:
del Image.EXTENSION[ext]
self.assertEqual(ext_individual, ext_multiple)
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def test_remap_palette(self):
# Test illegal image mode
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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with hopper() as im:
self.assertRaises(ValueError, im.remap_palette, None)
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def test__new(self):
from PIL import ImagePalette
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im = hopper("RGB")
im_p = hopper("P")
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blank_p = Image.new("P", (10, 10))
blank_pa = Image.new("PA", (10, 10))
blank_p.palette = None
blank_pa.palette = None
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def _make_new(base_image, im, palette_result=None):
new_im = base_image._new(im)
self.assertEqual(new_im.mode, im.mode)
self.assertEqual(new_im.size, im.size)
self.assertEqual(new_im.info, base_image.info)
if palette_result is not None:
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self.assertEqual(new_im.palette.tobytes(), palette_result.tobytes())
else:
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self.assertIsNone(new_im.palette)
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_make_new(im, im_p, im_p.palette)
_make_new(im_p, im, None)
_make_new(im, blank_p, ImagePalette.ImagePalette())
_make_new(im, blank_pa, ImagePalette.ImagePalette())
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def test_p_from_rgb_rgba(self):
for mode, color in [
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("RGB", "#DDEEFF"),
("RGB", (221, 238, 255)),
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("RGBA", (221, 238, 255, 255)),
]:
im = Image.new("P", (100, 100), color)
expected = Image.new(mode, (100, 100), color)
assert_image_equal(im.convert(mode), expected)
def test_no_resource_warning_on_save(self):
# https://github.com/python-pillow/Pillow/issues/835
# Arrange
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test_file = "Tests/images/hopper.png"
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temp_file = self.tempfile("temp.jpg")
# Act/Assert
with Image.open(test_file) as im:
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self.assert_warning(None, im.save, temp_file)
def test_load_on_nonexclusive_multiframe(self):
with open("Tests/images/frozenpond.mpo", "rb") as fp:
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def act(fp):
im = Image.open(fp)
im.load()
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act(fp)
with Image.open(fp) as im:
im.load()
self.assertFalse(fp.closed)
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def test_overrun(self):
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for file in [
"fli_overrun.bin",
"sgi_overrun.bin",
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"sgi_overrun_expandrow.bin",
"sgi_overrun_expandrow2.bin",
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"pcx_overrun.bin",
"pcx_overrun2.bin",
]:
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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with Image.open(os.path.join("Tests/images", file)) as im:
try:
im.load()
self.assertFail()
except OSError as e:
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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self.assertEqual(str(e), "buffer overrun when reading image file")
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with Image.open("Tests/images/fli_overrun2.bin") as im:
try:
im.seek(1)
self.assertFail()
except OSError as e:
self.assertEqual(str(e), "buffer overrun when reading image file")
class MockEncoder:
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pass
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def mock_encode(*args):
encoder = MockEncoder()
encoder.args = args
return encoder
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class TestRegistry(PillowTestCase):
def test_encode_registry(self):
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Image.register_encoder("MOCK", mock_encode)
self.assertIn("MOCK", Image.ENCODERS)
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enc = Image._getencoder("RGB", "MOCK", ("args",), extra=("extra",))
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self.assertIsInstance(enc, MockEncoder)
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self.assertEqual(enc.args, ("RGB", "args", "extra"))
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def test_encode_registry_fail(self):
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self.assertRaises(
IOError,
Image._getencoder,
"RGB",
"DoesNotExist",
("args",),
extra=("extra",),
)