def test__new(self):
from PIL import ImagePalette
im = hopper('RGB')
im_p = hopper('P')
blank_p = Image.new('P', (10, 10))
blank_pa = Image.new('PA', (10, 10))
blank_p.palette = None
blank_pa.palette = None
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:
self.assertEqual(new_im.palette.tobytes(),
palette_result.tobytes())
else:
self.assertIsNone(new_im.palette)
_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())
def test_copy(self):
croppedCoordinates = (10, 10, 20, 20)
croppedSize = (10, 10)
for mode in "1", "P", "L", "RGB", "I", "F":
# Internal copy method
im = hopper(mode)
out = im.copy()
self.assertEqual(out.mode, im.mode)
self.assertEqual(out.size, im.size)
# Python's copy method
im = hopper(mode)
out = copy.copy(im)
self.assertEqual(out.mode, im.mode)
self.assertEqual(out.size, im.size)
# Internal copy method on a cropped image
im = hopper(mode)
out = im.crop(croppedCoordinates).copy()
self.assertEqual(out.mode, im.mode)
self.assertEqual(out.size, croppedSize)
# Python's copy method on a cropped image
im = hopper(mode)
out = copy.copy(im.crop(croppedCoordinates))
self.assertEqual(out.mode, im.mode)
self.assertEqual(out.size, croppedSize)
def test_subsampling(self):
def getsampling(im):
layer = im.layer
return layer[0][1:3] + layer[1][1:3] + layer[2][1:3]
# experimental API
im = self.roundtrip(hopper(), subsampling=-1) # default
self.assertEqual(getsampling(im), (2, 2, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling=0) # 4:4:4
self.assertEqual(getsampling(im), (1, 1, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling=1) # 4:2:2
self.assertEqual(getsampling(im), (2, 1, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling=2) # 4:2:0
self.assertEqual(getsampling(im), (2, 2, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling=3) # default (undefined)
self.assertEqual(getsampling(im), (2, 2, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling="4:4:4")
self.assertEqual(getsampling(im), (1, 1, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling="4:2:2")
self.assertEqual(getsampling(im), (2, 1, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling="4:2:0")
self.assertEqual(getsampling(im), (2, 2, 1, 1, 1, 1))
im = self.roundtrip(hopper(), subsampling="4:1:1")
self.assertEqual(getsampling(im), (2, 2, 1, 1, 1, 1))
self.assertRaises(
TypeError, self.roundtrip, hopper(), subsampling="1:1:1")
def test_auxiliary_channels_isolated(self):
# test data in aux channels does not affect non-aux channels
aux_channel_formats = [
# format, profile, color-only format, source test image
('RGBA', 'sRGB', 'RGB', hopper('RGBA')),
('RGBX', 'sRGB', 'RGB', hopper('RGBX')),
('LAB', 'LAB', 'LAB', Image.open('Tests/images/hopper.Lab.tif')),
]
for src_format in aux_channel_formats:
for dst_format in aux_channel_formats:
for transform_in_place in [True, False]:
# inplace only if format doesn't change
if transform_in_place and src_format[0] != dst_format[0]:
continue
# convert with and without AUX data, test colors are equal
source_profile = ImageCms.createProfile(src_format[1])
destination_profile = ImageCms.createProfile(dst_format[1])
source_image = src_format[3]
test_transform = ImageCms.buildTransform(source_profile, destination_profile, inMode=src_format[0], outMode=dst_format[0])
# test conversion from aux-ful source
if transform_in_place:
test_image = source_image.copy()
ImageCms.applyTransform(test_image, test_transform, inPlace=True)
else:
test_image = ImageCms.applyTransform(source_image, test_transform, inPlace=False)
# reference conversion from aux-less source
reference_transform = ImageCms.buildTransform(source_profile, destination_profile, inMode=src_format[2], outMode=dst_format[2])
reference_image = ImageCms.applyTransform(source_image.convert(src_format[2]), reference_transform)
self.assert_image_equal(test_image.convert(dst_format[2]), reference_image)
def test_save_to_bytes(self):
output = io.BytesIO()
im = hopper()
im.save(output, "ico", sizes=[(32, 32), (64, 64)])
# the default image
output.seek(0)
reloaded = Image.open(output)
self.assertEqual(reloaded.info['sizes'], set([(32, 32), (64, 64)]))
self.assertEqual(im.mode, reloaded.mode)
self.assertEqual((64, 64), reloaded.size)
self.assertEqual(reloaded.format, "ICO")
self.assert_image_equal(reloaded,
hopper().resize((64, 64), Image.LANCZOS))
# the other one
output.seek(0)
reloaded = Image.open(output)
reloaded.size = (32, 32)
self.assertEqual(im.mode, reloaded.mode)
self.assertEqual((32, 32), reloaded.size)
self.assertEqual(reloaded.format, "ICO")
self.assert_image_equal(reloaded,
hopper().resize((32, 32), Image.LANCZOS))
def test_write_rgb(self):
"""
Can we write a RGB mode file to webp without error.
Does it have the bits we expect?
"""
temp_file = self.tempfile("temp.webp")
hopper("RGB").save(temp_file)
image = Image.open(temp_file)
image.load()
self.assertEqual(image.mode, "RGB")
self.assertEqual(image.size, (128, 128))
self.assertEqual(image.format, "WEBP")
image.load()
image.getdata()
# If we're using the exact same version of WebP, this test should pass.
# but it doesn't if the WebP is generated on Ubuntu and tested on
# Fedora.
# generated with: dwebp -ppm temp.webp -o hopper_webp_write.ppm
# target = Image.open('Tests/images/hopper_webp_write.ppm')
# self.assert_image_equal(image, target)
# This test asserts that the images are similar. If the average pixel
# difference between the two images is less than the epsilon value,
# then we're going to accept that it's a reasonable lossy version of
# the image. The old lena images for WebP are showing ~16 on
# Ubuntu, the jpegs are showing ~18.
target = hopper("RGB")
self.assert_image_similar(image, target, 12)
def test_sanity(self):
for mode in ('1', 'L', 'P', 'RGB'):
self._roundtrip(hopper(mode))
# Test an unsupported mode
f = self.tempfile("temp.pcx")
self.assertRaises(ValueError, lambda: hopper("RGBA").save(f))
def test_write_rgb(self):
"""
Can we write a RGB mode file to webp without error.
Does it have the bits we expect?
"""
temp_file = self.tempfile("temp.webp")
hopper(self.rgb_mode).save(temp_file)
image = Image.open(temp_file)
self.assertEqual(image.mode, self.rgb_mode)
self.assertEqual(image.size, (128, 128))
self.assertEqual(image.format, "WEBP")
image.load()
image.getdata()
# generated with: dwebp -ppm temp.webp -o hopper_webp_write.ppm
self.assert_image_similar_tofile(
image, 'Tests/images/hopper_webp_write.ppm', 12.0)
# This test asserts that the images are similar. If the average pixel
# difference between the two images is less than the epsilon value,
# then we're going to accept that it's a reasonable lossy version of
# the image. The old lena images for WebP are showing ~16 on
# Ubuntu, the jpegs are showing ~18.
target = hopper(self.rgb_mode)
self.assert_image_similar(image, target, 12.0)
def test_sanity(self):
self.roundtrip(hopper())
self.roundtrip(hopper("1"))
self.roundtrip(hopper("L"))
self.roundtrip(hopper("P"))
self.roundtrip(hopper("RGB"))
def test_optimize(self):
im1 = self.roundtrip(hopper())
im2 = self.roundtrip(hopper(), optimize=0)
im3 = self.roundtrip(hopper(), optimize=1)
self.assert_image_equal(im1, im2)
self.assert_image_equal(im1, im3)
self.assertGreaterEqual(im1.bytes, im2.bytes)
self.assertGreaterEqual(im1.bytes, im3.bytes)
def test_rgba_p(self):
im = hopper('RGBA')
im.putalpha(hopper('L'))
converted = im.convert('P')
comparable = converted.convert('RGBA')
self.assert_image_similar(im, comparable, 20)
def test_sanity(self):
# FIXME: assert_image
# Implicit asserts no exception:
ImageEnhance.Color(hopper()).enhance(0.5)
ImageEnhance.Contrast(hopper()).enhance(0.5)
ImageEnhance.Brightness(hopper()).enhance(0.5)
ImageEnhance.Sharpness(hopper()).enhance(0.5)
def test_p_la(self):
im = hopper('RGBA')
alpha = hopper('L')
im.putalpha(alpha)
comparable = im.convert('P').convert('LA').split()[1]
self.assert_image_similar(alpha, comparable, 5)
def test_sanity(self):
im = hopper()
im = im.quantize()
self.assert_image(im, "P", im.size)
im = hopper()
im = im.quantize(palette=hopper("P"))
self.assert_image(im, "P", im.size)
def test_convert(self):
im = hopper('RGB').convert('HSV')
comparable = self.to_hsv_colorsys(hopper('RGB'))
self.assert_image_similar(im.getchannel(0), comparable.getchannel(0),
1, "Hue conversion is wrong")
self.assert_image_similar(im.getchannel(1), comparable.getchannel(1),
1, "Saturation conversion is wrong")
self.assert_image_similar(im.getchannel(2), comparable.getchannel(2),
1, "Value conversion is wrong")
def test_pdf_append_to_bytesio(self):
im = hopper("RGB")
f = io.BytesIO()
im.save(f, format="PDF")
initial_size = len(f.getvalue())
self.assertGreater(initial_size, 0)
im = hopper("P")
f = io.BytesIO(f.getvalue())
im.save(f, format="PDF", append=True)
self.assertGreater(len(f.getvalue()), initial_size)
def test_sanity(self):
file = self.tempfile("temp.msp")
hopper("1").save(file)
im = Image.open(file)
im.load()
self.assertEqual(im.mode, "1")
self.assertEqual(im.size, (128, 128))
self.assertEqual(im.format, "MSP")
def test_convolution_modes(self):
self.assertRaises(ValueError, self.resize, hopper("1"), (15, 12), Image.BILINEAR)
self.assertRaises(ValueError, self.resize, hopper("P"), (15, 12), Image.BILINEAR)
self.assertRaises(ValueError, self.resize, hopper("I;16"), (15, 12), Image.BILINEAR)
for mode in ["L", "I", "F", "RGB", "RGBA", "CMYK", "YCbCr"]:
im = hopper(mode)
r = self.resize(im, (15, 12), Image.BILINEAR)
self.assertEqual(r.mode, mode)
self.assertEqual(r.size, (15, 12))
self.assertEqual(r.im.bands, im.im.bands)
def test_sanity(self):
image = hopper()
converted = image.quantize()
self.assert_image(converted, 'P', converted.size)
self.assert_image_similar(converted.convert('RGB'), image, 10)
image = hopper()
converted = image.quantize(palette=hopper('P'))
self.assert_image(converted, 'P', converted.size)
self.assert_image_similar(converted.convert('RGB'), image, 60)
def test_progressive(self):
im1 = self.roundtrip(hopper())
im2 = self.roundtrip(hopper(), progressive=False)
im3 = self.roundtrip(hopper(), progressive=True)
self.assertFalse(im1.info.get("progressive"))
self.assertFalse(im2.info.get("progressive"))
self.assertTrue(im3.info.get("progressive"))
self.assert_image_equal(im1, im3)
self.assertGreaterEqual(im1.bytes, im3.bytes)
def test_1pxfit(self):
# Division by zero in equalize if image is 1 pixel high
newimg = ImageOps.fit(hopper("RGB").resize((1, 1)), (35, 35))
self.assertEqual(newimg.size, (35, 35))
newimg = ImageOps.fit(hopper("RGB").resize((1, 100)), (35, 35))
self.assertEqual(newimg.size, (35, 35))
newimg = ImageOps.fit(hopper("RGB").resize((100, 1)), (35, 35))
self.assertEqual(newimg.size, (35, 35))
def test_sanity(self):
self.assertRaises(ValueError, lambda: hopper().tobitmap())
im1 = hopper().convert("1")
bitmap = im1.tobitmap()
self.assertIsInstance(bitmap, bytes)
self.assert_image_equal(im1, fromstring(bitmap))
def test_progressive_compat(self):
im1 = self.roundtrip(hopper())
im2 = self.roundtrip(hopper(), progressive=1)
im3 = self.roundtrip(hopper(), progression=1) # compatibility
self.assert_image_equal(im1, im2)
self.assert_image_equal(im1, im3)
self.assertFalse(im1.info.get("progressive"))
self.assertFalse(im1.info.get("progression"))
self.assertTrue(im2.info.get("progressive"))
self.assertTrue(im2.info.get("progression"))
self.assertTrue(im3.info.get("progressive"))
self.assertTrue(im3.info.get("progression"))
def test_with_underscores(self):
# Arrange: use underscores
kwargs = {"resolution_unit": "inch", "x_resolution": 72, "y_resolution": 36}
filename = self.tempfile("temp.tif")
# Act
hopper("RGB").save(filename, **kwargs)
# Assert
from PIL.TiffImagePlugin import X_RESOLUTION, Y_RESOLUTION
im = Image.open(filename)
self.assertEqual(im.tag.tags[X_RESOLUTION][0][0], 72)
self.assertEqual(im.tag.tags[Y_RESOLUTION][0][0], 36)
def test_lab_roundtrip(self):
# check to see if we're at least internally consistent.
pLab = ImageCms.createProfile("LAB")
t = ImageCms.buildTransform(SRGB, pLab, "RGB", "LAB")
t2 = ImageCms.buildTransform(pLab, SRGB, "LAB", "RGB")
i = ImageCms.applyTransform(hopper(), t)
self.assertEqual(i.info['icc_profile'],
ImageCmsProfile(pLab).tobytes())
out = ImageCms.applyTransform(i, t2)
self.assert_image_similar(hopper(), out, 2)
def test_with_underscores(self):
kwargs = {'resolution_unit': 'inch',
'x_resolution': 72,
'y_resolution': 36}
filename = self.tempfile("temp.tif")
hopper("RGB").save(filename, **kwargs)
im = Image.open(filename)
# legacy interface
self.assertEqual(im.tag[X_RESOLUTION][0][0], 72)
self.assertEqual(im.tag[Y_RESOLUTION][0][0], 36)
# v2 interface
self.assertEqual(im.tag_v2[X_RESOLUTION], 72)
self.assertEqual(im.tag_v2[Y_RESOLUTION], 36)
def test_write_lossless_rgb(self):
temp_file = self.tempfile("temp.webp")
hopper(self.rgb_mode).save(temp_file, lossless=True)
image = Image.open(temp_file)
image.load()
self.assertEqual(image.mode, self.rgb_mode)
self.assertEqual(image.size, (128, 128))
self.assertEqual(image.format, "WEBP")
image.load()
image.getdata()
self.assert_image_equal(image, hopper(self.rgb_mode))
def test_with_underscores(self):
kwargs = {"resolution_unit": "inch", "x_resolution": 72, "y_resolution": 36}
filename = self.tempfile("temp.tif")
hopper("RGB").save(filename, **kwargs)
from PIL.TiffImagePlugin import X_RESOLUTION, Y_RESOLUTION
im = Image.open(filename)
# legacy interface
self.assertEqual(im.tag[X_RESOLUTION][0][0], 72)
self.assertEqual(im.tag[Y_RESOLUTION][0][0], 36)
# v2 interface
self.assertEqual(im.tag_v2[X_RESOLUTION], 72)
self.assertEqual(im.tag_v2[Y_RESOLUTION], 36)
def test_split_merge(self):
def split_merge(mode):
return Image.merge(mode, hopper(mode).split())
self.assert_image_equal(hopper("1"), split_merge("1"))
self.assert_image_equal(hopper("L"), split_merge("L"))
self.assert_image_equal(hopper("I"), split_merge("I"))
self.assert_image_equal(hopper("F"), split_merge("F"))
self.assert_image_equal(hopper("P"), split_merge("P"))
self.assert_image_equal(hopper("RGB"), split_merge("RGB"))
self.assert_image_equal(hopper("RGBA"), split_merge("RGBA"))
self.assert_image_equal(hopper("CMYK"), split_merge("CMYK"))
self.assert_image_equal(hopper("YCbCr"), split_merge("YCbCr"))
def test_sanity(self):
im1 = hopper()
im2 = Image.new(im1.mode, im1.size, 0)
for y in range(im1.size[1]):
for x in range(im1.size[0]):
pos = x, y
im2.putpixel(pos, im1.getpixel(pos))
self.assert_image_equal(im1, im2)
im2 = Image.new(im1.mode, im1.size, 0)
im2.readonly = 1
for y in range(im1.size[1]):
for x in range(im1.size[0]):
pos = x, y
im2.putpixel(pos, im1.getpixel(pos))
self.assertFalse(im2.readonly)
self.assert_image_equal(im1, im2)
im2 = Image.new(im1.mode, im1.size, 0)
pix1 = im1.load()
pix2 = im2.load()
for y in range(im1.size[1]):
for x in range(im1.size[0]):
pix2[x, y] = pix1[x, y]
self.assert_image_equal(im1, im2)
def copy(mode):
im = hopper(mode)
out = im.copy()
self.assertEqual(out.mode, mode)
self.assertEqual(out.size, im.size)
def test_sanity(self):
data = hopper().tobytes()
self.assertIsInstance(data, bytes)
def crop(mode):
out = hopper(mode).crop((50, 50, 100, 100))
self.assertEqual(out.mode, mode)
self.assertEqual(out.size, (50, 50))
def test_missing_method_data(self):
im = hopper()
self.assertRaises(ValueError, im.transform, (100, 100), None)
def test_repr_png(self):
im = hopper()
repr_png = Image.open(BytesIO(im._repr_png_()))
self.assertEqual(repr_png.format, 'PNG')
self.assert_image_equal(im, repr_png)
def test_remap_palette(self):
# Test illegal image mode
im = hopper()
self.assertRaises(ValueError, im.remap_palette, None)
def test_mode_mismatch(self):
im = hopper("RGB").copy()
self.assertRaises(ValueError,
lambda: ImageDraw.ImageDraw(im, mode="L"))
def test_save_rgba(self):
im = hopper("RGBA")
outfile = self.tempfile("temp.tif")
im.save(outfile)
def test_getbands(self):
# Assert
self.assertEqual(hopper('RGB').getbands(), ('R', 'G', 'B'))
self.assertEqual(hopper('YCbCr').getbands(), ('Y', 'Cb', 'Cr'))
def test_unknown_extension(self):
im = hopper()
temp_file = self.tempfile("temp.unknown")
self.assertRaises(ValueError, im.save, temp_file)
def test_image_mode_not_supported(self):
im = hopper("RGBA")
tmpfile = self.tempfile('temp.eps')
self.assertRaises(ValueError, lambda: im.save(tmpfile))
def split(mode):
layers = hopper(mode).split()
return [(i.mode, i.size[0], i.size[1]) for i in layers]
def split_open(mode):
hopper(mode).save(test_file)
im = Image.open(test_file)
return len(im.split())
def test_save_unsupported_mode(self):
im = hopper("HSV")
outfile = self.tempfile("temp.tif")
self.assertRaises(IOError, lambda: im.save(outfile))
def test_isatty(self):
im = hopper()
container = ContainerIO.ContainerIO(im, 0, 0)
self.assertEqual(container.isatty(), 0)
def test_sanity(self):
filename = self.tempfile("temp.tif")
hopper("RGB").save(filename)
im = Image.open(filename)
im.load()
self.assertEqual(im.mode, "RGB")
self.assertEqual(im.size, (128, 128))
self.assertEqual(im.format, "TIFF")
hopper("1").save(filename)
im = Image.open(filename)
hopper("L").save(filename)
im = Image.open(filename)
hopper("P").save(filename)
im = Image.open(filename)
hopper("RGB").save(filename)
im = Image.open(filename)
hopper("I").save(filename)
im = Image.open(filename)
def _to_array(mode, dtype):
img = hopper(mode)
np_img = numpy.array(img)
self._test_img_equals_nparray(img, np_img)
self.assertEqual(np_img.dtype, numpy.dtype(dtype))
def test_unsupported_mode(self):
im = hopper("LA")
outfile = self.tempfile("temp_LA.pdf")
self.assertRaises(ValueError, im.save, outfile)
def test_offset_not_implemented(self):
# Arrange
im = hopper()
# Act / Assert
self.assertRaises(NotImplementedError, im.offset, None)
def test_both(self):
im = hopper('L')
with self.count(2):
im.resize((im.size[0] - 10, im.size[1] - 10), Image.BILINEAR)
def _test_image(self):
im = hopper('RGB')
return im.crop((10, 20, im.width - 10, im.height - 20))
def test_vertical(self):
im = hopper('L')
with self.count(1):
im.resize((im.size[0], im.size[1] - 10), Image.BILINEAR)
def test_getchunks(self):
im = hopper()
chunks = PngImagePlugin.getchunks(im)
self.assertEqual(len(chunks), 3)
def test_horizontal(self):
im = hopper('L')
with self.count(1):
im.resize((im.size[0] - 10, im.size[1]), Image.BILINEAR)
def test_rt_metadata(self):
""" Test writing arbitrary metadata into the tiff image directory
Use case is ImageJ private tags, one numeric, one arbitrary
data. https://github.com/python-pillow/Pillow/issues/291
"""
img = hopper()
# Behaviour change: re #1416
# Pre ifd rewrite, ImageJMetaData was being written as a string(2),
# Post ifd rewrite, it's defined as arbitrary bytes(7). It should
# roundtrip with the actual bytes, rather than stripped text
# of the premerge tests.
#
# For text items, we still have to decode('ascii','replace') because
# the tiff file format can't take 8 bit bytes in that field.
basetextdata = "This is some arbitrary metadata for a text field"
bindata = basetextdata.encode('ascii') + b" \xff"
textdata = basetextdata + " " + chr(255)
reloaded_textdata = basetextdata + " ?"
floatdata = 12.345
doubledata = 67.89
info = TiffImagePlugin.ImageFileDirectory()
ImageJMetaData = tag_ids['ImageJMetaData']
ImageJMetaDataByteCounts = tag_ids['ImageJMetaDataByteCounts']
ImageDescription = tag_ids['ImageDescription']
info[ImageJMetaDataByteCounts] = len(bindata)
info[ImageJMetaData] = bindata
info[tag_ids['RollAngle']] = floatdata
info.tagtype[tag_ids['RollAngle']] = 11
info[tag_ids['YawAngle']] = doubledata
info.tagtype[tag_ids['YawAngle']] = 12
info[ImageDescription] = textdata
f = self.tempfile("temp.tif")
img.save(f, tiffinfo=info)
loaded = Image.open(f)
self.assertEqual(loaded.tag[ImageJMetaDataByteCounts],
(len(bindata), ))
self.assertEqual(loaded.tag_v2[ImageJMetaDataByteCounts],
(len(bindata), ))
self.assertEqual(loaded.tag[ImageJMetaData], bindata)
self.assertEqual(loaded.tag_v2[ImageJMetaData], bindata)
self.assertEqual(loaded.tag[ImageDescription], (reloaded_textdata, ))
self.assertEqual(loaded.tag_v2[ImageDescription], reloaded_textdata)
loaded_float = loaded.tag[tag_ids['RollAngle']][0]
self.assertAlmostEqual(loaded_float, floatdata, places=5)
loaded_double = loaded.tag[tag_ids['YawAngle']][0]
self.assertAlmostEqual(loaded_double, doubledata)
# check with 2 element ImageJMetaDataByteCounts, issue #2006
info[ImageJMetaDataByteCounts] = (8, len(bindata) - 8)
img.save(f, tiffinfo=info)
loaded = Image.open(f)
self.assertEqual(loaded.tag[ImageJMetaDataByteCounts],
(8, len(bindata) - 8))
self.assertEqual(loaded.tag_v2[ImageJMetaDataByteCounts],
(8, len(bindata) - 8))
def test_sanity(self):
im1 = hopper()
im2 = Image.frombytes(im1.mode, im1.size, im1.tobytes())
self.assert_image_equal(im1, im2)
def test_sanity(self):
# internal version number
self.assertRegexpMatches(Image.core.zlib_version,
"\d+\.\d+\.\d+(\.\d+)?$")
file = self.tempfile("temp.png")
hopper("RGB").save(file)
im = Image.open(file)
im.load()
self.assertEqual(im.mode, "RGB")
self.assertEqual(im.size, (128, 128))
self.assertEqual(im.format, "PNG")
hopper("1").save(file)
im = Image.open(file)
hopper("L").save(file)
im = Image.open(file)
hopper("P").save(file)
im = Image.open(file)
hopper("RGB").save(file)
im = Image.open(file)
hopper("I").save(file)
im = Image.open(file)
def test_both(self):
im = hopper('L')
count = Image.core.getcount()
im.resize((im.size[0] + 10, im.size[1] + 10), Image.BILINEAR)
self.assertEqual(Image.core.getcount(), count + 2)
def split_merge(mode):
return Image.merge(mode, hopper(mode).split())
def test_not_implemented(self):
self.assertIsNone(PyAccess.new(hopper("BGR;15")))
