def test_imresize3(self):
im = np.random.random((15,30))
im2 = pilutil.imresize(im, (30,60), interp='nearest')
assert_equal(im2.shape, (30,60))
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()
assert_array_almost_equal(P*R*A*Q,L*U)
def setUp(self):
random.seed(0) # make tests repeatable
self.real_matrices = []
self.real_matrices.append(spdiags([[1, 2, 3, 4, 5], [6, 5, 8, 9, 10]],
[0, 1], 5, 5))
self.real_matrices.append(spdiags([[1, 2, 3, 4, 5], [6, 5, 8, 9, 10]],
[0, 1], 4, 5))
self.real_matrices.append(spdiags([[1, 2, 3, 4, 5], [6, 5, 8, 9, 10]],
[0, 2], 5, 5))
self.real_matrices.append(rand(3,3))
self.real_matrices.append(rand(5,4))
self.real_matrices.append(rand(4,5))
self.real_matrices = [csc_matrix(x).astype('d') for x
in self.real_matrices]
self.complex_matrices = [x.astype(np.complex128)
for x in self.real_matrices]
_DeprecationAccept.setUp(self)
# Skip methods if umfpack not present
for cls in [TestSolvers, TestFactorization]:
decorate_methods(cls, _umfpack_skip)
if __name__ == "__main__":
run_module_suite()
@setastest(False)
def test_false():
pass
@setastest(True)
def test_true():
pass
@skipif(True)
def test_skip():
pass
@knownfailureif(True)
def test_alwaysfail():
pass
class TestClass():
def test_true2(self):
pass
class TestClass2():
def test_false2(self):
pass
decorate_methods(TestClass2, setastest(False), 'test_false2')
Q = eye(A.shape[1])[:,Q]
assert_array_almost_equal(P*R*A*Q,L*U)
def setUp(self):
random.seed(0) #make tests repeatable
self.real_matrices = []
self.real_matrices.append(spdiags([[1, 2, 3, 4, 5], [6, 5, 8, 9, 10]],
[0, 1], 5, 5) )
self.real_matrices.append(spdiags([[1, 2, 3, 4, 5], [6, 5, 8, 9, 10]],
[0, 1], 4, 5) )
self.real_matrices.append(spdiags([[1, 2, 3, 4, 5], [6, 5, 8, 9, 10]],
[0, 2], 5, 5) )
self.real_matrices.append(rand(3,3))
self.real_matrices.append(rand(5,4))
self.real_matrices.append(rand(4,5))
self.real_matrices = [csc_matrix(x).astype('d') for x \
in self.real_matrices]
self.complex_matrices = [x.astype(np.complex128)
for x in self.real_matrices]
# Skip methods if umfpack not present
for cls in [TestSolvers, TestFactorization]:
decorate_methods(cls, _umfpack_skip)
if __name__ == "__main__":
import nose
nose.run(argv=['', __file__])
