mirror of
https://github.com/python-pillow/Pillow.git
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4de5477b61
With the introduction and use of pytest, it is simple and easy to
execute specific tests in isolation through documented command line
arguments. Either by specifying the module path or through the `-k
EXPRESSION` argument. There is no longer any need to provide the
boilerplate:
if __name__ == '__main__':
unittest.main()
To every test file. It is simply noise.
The pattern remains in test files that aren't named with `test_*` as
those files are not discovered and executed by pytest by default.
211 lines
7.7 KiB
Python
211 lines
7.7 KiB
Python
from __future__ import print_function
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from .helper import PillowTestCase, hopper, unittest
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from PIL import Image
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try:
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import numpy
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except ImportError:
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numpy = None
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TEST_IMAGE_SIZE = (10, 10)
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@unittest.skipIf(numpy is None, "Numpy is not installed")
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class TestNumpy(PillowTestCase):
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def test_numpy_to_image(self):
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def to_image(dtype, bands=1, boolean=0):
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if bands == 1:
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if boolean:
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data = [0, 255] * 50
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else:
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data = list(range(100))
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a = numpy.array(data, dtype=dtype)
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a.shape = TEST_IMAGE_SIZE
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i = Image.fromarray(a)
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if list(i.getdata()) != data:
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print("data mismatch for", dtype)
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else:
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data = list(range(100))
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a = numpy.array([[x]*bands for x in data], dtype=dtype)
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a.shape = TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1], bands
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i = Image.fromarray(a)
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if list(i.getchannel(0).getdata()) != list(range(100)):
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print("data mismatch for", dtype)
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return i
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# Check supported 1-bit integer formats
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self.assert_image(to_image(numpy.bool, 1, 1), '1', TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.bool8, 1, 1), '1', TEST_IMAGE_SIZE)
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# Check supported 8-bit integer formats
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self.assert_image(to_image(numpy.uint8), "L", TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.uint8, 3), "RGB", TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.uint8, 4), "RGBA", TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.int8), "I", TEST_IMAGE_SIZE)
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# Check non-fixed-size integer types
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# These may fail, depending on the platform, since we have no native
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# 64 bit int image types.
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# self.assert_image(to_image(numpy.uint), "I", TEST_IMAGE_SIZE)
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# self.assert_image(to_image(numpy.int), "I", TEST_IMAGE_SIZE)
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# Check 16-bit integer formats
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if Image._ENDIAN == '<':
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self.assert_image(to_image(numpy.uint16), "I;16", TEST_IMAGE_SIZE)
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else:
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self.assert_image(to_image(numpy.uint16), "I;16B", TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.int16), "I", TEST_IMAGE_SIZE)
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# Check 32-bit integer formats
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self.assert_image(to_image(numpy.uint32), "I", TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.int32), "I", TEST_IMAGE_SIZE)
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# Check 64-bit integer formats
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self.assertRaises(TypeError, to_image, numpy.uint64)
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self.assertRaises(TypeError, to_image, numpy.int64)
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# Check floating-point formats
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self.assert_image(to_image(numpy.float), "F", TEST_IMAGE_SIZE)
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self.assertRaises(TypeError, to_image, numpy.float16)
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self.assert_image(to_image(numpy.float32), "F", TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.float64), "F", TEST_IMAGE_SIZE)
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self.assert_image(to_image(numpy.uint8, 2), "LA", (10, 10))
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self.assert_image(to_image(numpy.uint8, 3), "RGB", (10, 10))
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self.assert_image(to_image(numpy.uint8, 4), "RGBA", (10, 10))
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# based on an erring example at
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# https://stackoverflow.com/questions/10854903/what-is-causing-dimension-dependent-attributeerror-in-pil-fromarray-function
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def test_3d_array(self):
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size = (5, TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1])
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a = numpy.ones(size, dtype=numpy.uint8)
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self.assert_image(Image.fromarray(a[1, :, :]), "L", TEST_IMAGE_SIZE)
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size = (TEST_IMAGE_SIZE[0], 5, TEST_IMAGE_SIZE[1])
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a = numpy.ones(size, dtype=numpy.uint8)
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self.assert_image(Image.fromarray(a[:, 1, :]), "L", TEST_IMAGE_SIZE)
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size = (TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1], 5)
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a = numpy.ones(size, dtype=numpy.uint8)
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self.assert_image(Image.fromarray(a[:, :, 1]), "L", TEST_IMAGE_SIZE)
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def _test_img_equals_nparray(self, img, np):
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self.assertGreaterEqual(len(np.shape), 2)
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np_size = np.shape[1], np.shape[0]
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self.assertEqual(img.size, np_size)
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px = img.load()
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for x in range(0, img.size[0], int(img.size[0]/10)):
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for y in range(0, img.size[1], int(img.size[1]/10)):
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self.assert_deep_equal(px[x, y], np[y, x])
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def test_16bit(self):
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img = Image.open('Tests/images/16bit.cropped.tif')
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np_img = numpy.array(img)
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self._test_img_equals_nparray(img, np_img)
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self.assertEqual(np_img.dtype, numpy.dtype('<u2'))
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def test_1bit(self):
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# Test that 1-bit arrays convert to numpy and back
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# See: https://github.com/python-pillow/Pillow/issues/350
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arr = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], 'u1')
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img = Image.fromarray(arr * 255).convert('1')
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self.assertEqual(img.mode, '1')
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arr_back = numpy.array(img)
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# numpy 1.8 and earlier return this as a boolean. (trusty/precise)
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if arr_back.dtype == numpy.bool:
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arr_bool = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], 'bool')
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numpy.testing.assert_array_equal(arr_bool, arr_back)
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else:
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numpy.testing.assert_array_equal(arr, arr_back)
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def test_save_tiff_uint16(self):
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# Tests that we're getting the pixel value in the right byte order.
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pixel_value = 0x1234
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a = numpy.array(
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[pixel_value] * TEST_IMAGE_SIZE[0] * TEST_IMAGE_SIZE[1],
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dtype=numpy.uint16)
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a.shape = TEST_IMAGE_SIZE
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img = Image.fromarray(a)
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img_px = img.load()
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self.assertEqual(img_px[0, 0], pixel_value)
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def test_to_array(self):
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def _to_array(mode, dtype):
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img = hopper(mode)
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# Resize to non-square
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img = img.crop((3, 0, 124, 127))
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self.assertEqual(img.size, (121, 127))
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np_img = numpy.array(img)
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self._test_img_equals_nparray(img, np_img)
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self.assertEqual(np_img.dtype, numpy.dtype(dtype))
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modes = [("L", 'uint8'),
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("I", 'int32'),
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("F", 'float32'),
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("LA", 'uint8'),
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("RGB", 'uint8'),
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("RGBA", 'uint8'),
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("RGBX", 'uint8'),
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("CMYK", 'uint8'),
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("YCbCr", 'uint8'),
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("I;16", '<u2'),
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("I;16B", '>u2'),
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("I;16L", '<u2'),
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("HSV", 'uint8'),
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]
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for mode in modes:
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_to_array(*mode)
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def test_point_lut(self):
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# see https://github.com/python-pillow/Pillow/issues/439
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data = list(range(256))*3
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lut = numpy.array(data, dtype='uint8')
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im = hopper()
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im.point(lut)
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def test_putdata(self):
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# shouldn't segfault
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# see https://github.com/python-pillow/Pillow/issues/1008
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im = Image.new('F', (150, 100))
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arr = numpy.zeros((15000,), numpy.float32)
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im.putdata(arr)
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self.assertEqual(len(im.getdata()), len(arr))
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def test_zero_size(self):
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# Shouldn't cause floating point exception
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# See https://github.com/python-pillow/Pillow/issues/2259
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im = Image.fromarray(numpy.empty((0, 0), dtype=numpy.uint8))
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self.assertEqual(im.size, (0, 0))
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def test_bool(self):
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# https://github.com/python-pillow/Pillow/issues/2044
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a = numpy.zeros((10, 2), dtype=numpy.bool)
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a[0][0] = True
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im2 = Image.fromarray(a)
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self.assertEqual(im2.getdata()[0], 255)
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def test_no_resource_warning_for_numpy_array(self):
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# https://github.com/python-pillow/Pillow/issues/835
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# Arrange
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from numpy import array
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test_file = 'Tests/images/hopper.png'
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im = Image.open(test_file)
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# Act/Assert
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self.assert_warning(None, lambda: array(im))
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