def test_part1a(self):
'''part1a on the head'''
tempdir = tempfile.mkdtemp(prefix='scivis')
saveas=join(tempdir, 'part1a/')
cnv.part1a(filename='data/head-16.png', saveas=saveas, aspect=(1,1))
for op in ['dx', 'dy', 'gm']:
self.assertArraysSimilar(1,
cnv.png_to_ndarray('data/head-%s.png' % op),
cnv.igreyscale(cnv.png_to_ndarray('%s/%s.png' % (saveas, op)), max=255))
rmtree(tempdir)
def test_convolve_png(self):
'''convolve phoenix head, x-axis'''
expected = cnv.png_to_ndarray('data/head-dx.png')
A = cnv.convolve_png('data/head-16.png', cnv.first_d)
self.assertArraysSimilar(1, cnv.igreyscale(A, max=255), expected)