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import os.path
import numpy as np
from numpy.testing import *
try:
import PIL.Image
except ImportError:
_have_PIL = False
else:
_have_PIL = True
import scipy.misc.pilutil as pilutil
# Function / method decorator for skipping PIL tests on import failure
_pilskip = dec.skipif(not _have_PIL, 'Need to import PIL for this test')
datapath = os.path.dirname(__file__)
class TestPILUtil(TestCase):
def test_imresize(self):
im = np.random.random((10,20))
for T in np.sctypes['float'] + [float]:
im1 = pilutil.imresize(im,T(1.1))
assert_equal(im1.shape,(11,22))
def test_bytescale(self):
x = np.array([0,1,2],np.uint8)
y = np.array([0,1,2])
assert_equal(pilutil.bytescale(x),x)
assert_equal(pilutil.bytescale(y),[0,127,255])
def tst_fromimage(filename, irange):
img = pilutil.fromimage(PIL.Image.open(filename))
imin,imax = irange
assert img.min() >= imin
assert img.max() <= imax
@_pilskip
def test_fromimage():
''' Test generator for parametric tests '''
data = {'icon.png':(0,255),
'icon_mono.png':(0,2),
'icon_mono_flat.png':(0,1)}
for fn, irange in data.iteritems():
yield tst_fromimage, os.path.join(datapath,'data',fn), irange
decorate_methods(TestPILUtil, _pilskip)
if __name__ == "__main__":
run_module_suite()
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