def test_vscharr_horizontal():
"""vertical Scharr on a horizontal edge should be zero."""
i, j = np.mgrid[-5:6, -5:6]
image = (i >= 0).astype(float)
result = F.vscharr(image)
eps = .000001
assert (np.all(np.abs(result) < eps))
def test_vscharr_horizontal():
"""vertical Scharr on a horizontal edge should be zero"""
i, j = np.mgrid[-5:6, -5:6]
image = (i >= 0).astype(float)
result = F.vscharr(image)
eps = .000001
assert (np.all(np.abs(result) < eps))
def test_vscharr_vertical():
"""Vertical Scharr on an edge should be a vertical line."""
i, j = np.mgrid[-5:6, -5:6]
image = (j >= 0).astype(float)
result = F.vscharr(image)
# Fudge the eroded points
j[np.abs(i) == 5] = 10000
assert (np.all(result[j == 0] == 1))
assert (np.all(result[np.abs(j) > 1] == 0))
def test_vscharr_vertical():
"""Vertical Scharr on an edge should be a vertical line"""
i, j = np.mgrid[-5:6, -5:6]
image = (j >= 0).astype(float)
result = F.vscharr(image)
# Fudge the eroded points
j[np.abs(i) == 5] = 10000
assert (np.all(result[j == 0] == 1))
assert (np.all(result[np.abs(j) > 1] == 0))
def test_vscharr_horizontal():
"""vertical Scharr on a horizontal edge should be zero."""
i, j = np.mgrid[-5:6, -5:6]
image = (i >= 0).astype(float)
result = F.vscharr(image)
assert_allclose(result, 0)
def test_vscharr_mask():
"""Vertical Scharr on a masked array should be zero."""
np.random.seed(0)
result = F.vscharr(np.random.uniform(size=(10, 10)),
np.zeros((10, 10), bool))
assert_allclose(result, 0)
def test_vscharr_zeros():
"""Vertical Scharr on an array of all zeros."""
result = F.vscharr(np.zeros((10, 10)), np.ones((10, 10), bool))
assert_allclose(result, 0)
def test_vscharr_zeros():
"""Vertical Scharr on an array of all zeros"""
result = F.vscharr(np.zeros((10, 10)), np.ones((10, 10), bool))
assert (np.all(result == 0))
def test_vscharr_mask():
"""Vertical Scharr on a masked array should be zero"""
np.random.seed(0)
result = F.vscharr(np.random.uniform(size=(10, 10)),
np.zeros((10, 10), bool))
assert (np.all(result == 0))
def test_vscharr_zeros():
"""Vertical Scharr on an array of all zeros"""
result = F.vscharr(np.zeros((10, 10)), np.ones((10, 10), bool))
assert (np.all(result == 0))
