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()