Pillow/Tests/test_scipy.py

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2014-10-05 03:19:30 +04:00
from helper import PillowTestCase
try:
import numpy as np
from numpy.testing import assert_equal
from scipy import misc
HAS_SCIPY = True
except:
HAS_SCIPY = False
class Test_scipy_resize(PillowTestCase):
""" Tests for scipy regression in 2.6.0
Tests from https://github.com/scipy/scipy/blob/master/scipy/misc/pilutil.py
"""
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def setUp(self):
if not HAS_SCIPY:
self.skipTest("Scipy Required")
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))
def test_imresize4(self):
im = np.array([[1,2],
[3,4]])
res = np.array([[ 1. , 1.25, 1.75, 2. ],
[ 1.5 , 1.75, 2.25, 2.5 ],
[ 2.5 , 2.75, 3.25, 3.5 ],
[ 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
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)