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