Pillow/Tests/test_image.py
2014-09-02 16:39:35 +03:00

203 lines
5.4 KiB
Python

from helper import unittest, PillowTestCase, lena
from PIL import Image
import sys
class TestImage(PillowTestCase):
def test_sanity(self):
im = Image.new("L", (100, 100))
self.assertEqual(
repr(im)[:45], "<PIL.Image.Image image mode=L size=100x100 at")
self.assertEqual(im.mode, "L")
self.assertEqual(im.size, (100, 100))
im = Image.new("RGB", (100, 100))
self.assertEqual(
repr(im)[:45], "<PIL.Image.Image image mode=RGB size=100x100 ")
self.assertEqual(im.mode, "RGB")
self.assertEqual(im.size, (100, 100))
Image.new("L", (100, 100), None)
im2 = Image.new("L", (100, 100), 0)
im3 = Image.new("L", (100, 100), "black")
self.assertEqual(im2.getcolors(), [(10000, 0)])
self.assertEqual(im3.getcolors(), [(10000, 0)])
self.assertRaises(ValueError, lambda: Image.new("X", (100, 100)))
# self.assertRaises(
# MemoryError, lambda: Image.new("L", (1000000, 1000000)))
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)
file = self.tempfile("temp.ppm")
im._dump(file)
def test_comparison_with_other_type(self):
# Arrange
item = Image.new('RGB', (25, 25), '#000')
num = 12
# Act/Assert
# Shouldn't cause AttributeError (#774)
self.assertFalse(item is None)
self.assertFalse(item == None)
self.assertFalse(item == num)
def test_expand_x(self):
# Arrange
im = lena()
orig_size = im.size
xmargin = 5
# Act
im = im._expand(xmargin)
# Assert
self.assertEqual(im.size[0], orig_size[0] + 2*xmargin)
self.assertEqual(im.size[1], orig_size[1] + 2*xmargin)
def test_expand_xy(self):
# Arrange
im = lena()
orig_size = im.size
xmargin = 5
ymargin = 3
# Act
im = im._expand(xmargin, ymargin)
# Assert
self.assertEqual(im.size[0], orig_size[0] + 2*xmargin)
self.assertEqual(im.size[1], orig_size[1] + 2*ymargin)
def test_getbands(self):
# Arrange
im = lena()
# Act
bands = im.getbands()
# Assert
self.assertEqual(bands, ('R', 'G', 'B'))
def test_getbbox(self):
# Arrange
im = lena()
# Act
bbox = im.getbbox()
# Assert
self.assertEqual(bbox, (0, 0, 128, 128))
def test_ne(self):
# Arrange
im1 = Image.new('RGB', (25, 25), 'black')
im2 = Image.new('RGB', (25, 25), 'white')
# Act / Assert
self.assertTrue(im1 != im2)
def test_alpha_composite(self):
# http://stackoverflow.com/questions/3374878
# Arrange
from PIL import ImageDraw
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))
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)
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))
im2 = Image.open('Tests/images/effect_mandelbrot.png')
self.assert_image_equal(im, im2)
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
self.assertRaises(
ValueError,
lambda: Image.effect_mandelbrot(size, extent, quality))
@unittest.skipUnless(sys.platform.startswith('win32'),
"Stalls on Travis CI, passes on Windows")
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.getpixel((0, 0)), 60)
self.assertEqual(im.getpixel((0, 1)), 28)
def test_effect_spread(self):
# Arrange
im = lena()
distance = 10
# Act
im2 = im.effect_spread(distance)
# Assert
self.assertEqual(im.size, (128, 128))
im3 = Image.open('Tests/images/effect_spread.png')
self.assert_image_similar(im2, im3, 80)
if __name__ == '__main__':
unittest.main()
# End of file