def test_value(self):
c = ConnectedRegion(shape=(2, 2))
assert_equal(crh.get_value(c), 0)
crh.set_value(c, 5)
assert_equal(crh.get_value(c), 5)
crh.set_value(c, 0)
assert_equal(crh.get_value(c), 0)
def test_value(self):
c = ConnectedRegion(shape=(2, 2))
assert_equal(crh.get_value(c), 0)
crh.set_value(c, 5)
assert_equal(crh.get_value(c), 5)
crh.set_value(c, 0)
assert_equal(crh.get_value(c), 0)
def test_maximal(self):
c = ConnectedRegion(shape=(3, 3), value=1, rowptr=[0, 2], colptr=[0, 1])
img = crh.todense(c)
assert_equal(crh.boundary_maximum(c, img), 0)
crh.set_value(c, -1)
assert_equal(crh.boundary_maximum(c, img), 0)
def test_connected_regions(self):
labels, regions = lulu.connected_regions(self.img)
assert_array_equal(labels, self.img)
assert_equal(len(regions), 3)
crh.set_value(regions[0], 5)
assert_array_equal(crh.todense(regions[0]),
[[5, 5, 5, 5, 0],
[5, 0, 0, 0, 0],
[5, 0, 0, 0, 0],
[5, 5, 5, 5, 0],
[5, 5, 5, 5, 0]])
assert_array_equal(crh.todense(regions[1]),
[[0, 0, 0, 0, 1],
[0, 0, 0, 0, 1],
[0, 0, 0, 0, 1],
[0, 0, 0, 0, 1],
[0, 0, 0, 0, 1]])
assert_array_equal(crh.todense(regions[2]),
[[0, 0, 0, 0, 0],
[0, 2, 2, 2, 0],
[0, 2, 2, 2, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]])
def test_minimal(self):
c = ConnectedRegion(shape=(3, 3),
value=-1,
rowptr=[0, 2],
colptr=[0, 1])
img = crh.todense(c)
assert_equal(crh.boundary_minimum(c, img), 0)
crh.set_value(c, 1)
assert_equal(crh.boundary_minimum(c, img), 0)
def test_internal_build_ops(self):
c = ConnectedRegion(shape=(2, 2), rowptr=[0])
assert_equal(crh._current_row(c), 0)
crh._append_colptr(c, 0, 1)
crh._new_row(c)
assert_equal(crh._current_row(c), 1)
crh._append_colptr(c, 1, 2)
crh._new_row(c)
crh.set_value(c, 5)
assert_array_equal(crh.todense(c), [[5, 0], [0, 5]])
def test_internal_build_ops(self):
c = ConnectedRegion(shape=(2, 2), rowptr=[0])
assert_equal(crh._current_row(c), 0)
crh._append_colptr(c, 0, 1)
crh._new_row(c)
assert_equal(crh._current_row(c), 1)
crh._append_colptr(c, 1, 2)
crh._new_row(c)
crh.set_value(c, 5)
assert_array_equal(crh.todense(c), [[5, 0], [0, 5]])
def test_connected_regions(self):
labels, regions = lulu.connected_regions(self.img)
assert_array_equal(labels, self.img)
assert_equal(len(regions), 3)
crh.set_value(regions[0], 5)
assert_array_equal(crh.todense(regions[0]),
[[5, 5, 5, 5, 0], [5, 0, 0, 0, 0], [5, 0, 0, 0, 0],
[5, 5, 5, 5, 0], [5, 5, 5, 5, 0]])
assert_array_equal(crh.todense(regions[1]),
[[0, 0, 0, 0, 1], [0, 0, 0, 0, 1], [0, 0, 0, 0, 1],
[0, 0, 0, 0, 1], [0, 0, 0, 0, 1]])
assert_array_equal(crh.todense(regions[2]),
[[0, 0, 0, 0, 0], [0, 2, 2, 2, 0], [0, 2, 2, 2, 0],
[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]])
