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44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
from helper import PillowTestCase
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try:
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import numpy as np
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from numpy.testing import assert_equal
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from scipy import misc
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HAS_SCIPY = True
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except ImportError:
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HAS_SCIPY = False
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class Test_scipy_resize(PillowTestCase):
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""" Tests for scipy regression in 2.6.0
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Tests from https://github.com/scipy/scipy/blob/master/scipy/misc/pilutil.py
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"""
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def setUp(self):
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if not HAS_SCIPY:
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self.skipTest("Scipy Required")
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def test_imresize(self):
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im = np.random.random((10, 20))
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for T in np.sctypes['float'] + [float]:
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# 1.1 rounds to below 1.1 for float16, 1.101 works
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im1 = misc.imresize(im, T(1.101))
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self.assertEqual(im1.shape, (11, 22))
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def test_imresize4(self):
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im = np.array([[1, 2],
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[3, 4]])
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res = np.array([[1. , 1.25, 1.75, 2. ],
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[1.5, 1.75, 2.25, 2.5],
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[2.5, 2.75, 3.25, 3.5],
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[3. , 3.25, 3.75, 4. ]], dtype=np.float32)
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# Check that resizing by target size, float and int are the same
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im2 = misc.imresize(im, (4, 4), mode='F') # output size
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im3 = misc.imresize(im, 2., mode='F') # fraction
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im4 = misc.imresize(im, 200, mode='F') # percentage
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assert_equal(im2, res)
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assert_equal(im3, res)
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assert_equal(im4, res)
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