def test_eigen_ref_mutators():
"""Tests Eigen's ability to mutate numpy values"""
orig = np.array([[1., 2, 3], [4, 5, 6], [7, 8, 9]])
zr = np.array(orig)
zc = np.array(orig, order='F')
m.add_rm(zr, 1, 0, 100)
assert np.all(zr == np.array([[1., 2, 3], [104, 5, 6], [7, 8, 9]]))
m.add_cm(zc, 1, 0, 200)
assert np.all(zc == np.array([[1., 2, 3], [204, 5, 6], [7, 8, 9]]))
m.add_any(zr, 1, 0, 20)
assert np.all(zr == np.array([[1., 2, 3], [124, 5, 6], [7, 8, 9]]))
m.add_any(zc, 1, 0, 10)
assert np.all(zc == np.array([[1., 2, 3], [214, 5, 6], [7, 8, 9]]))
# Can't reference a col-major array with a row-major Ref, and vice versa:
with pytest.raises(TypeError):
m.add_rm(zc, 1, 0, 1)
with pytest.raises(TypeError):
m.add_cm(zr, 1, 0, 1)
# Overloads:
m.add1(zr, 1, 0, -100)
m.add2(zr, 1, 0, -20)
assert np.all(zr == orig)
m.add1(zc, 1, 0, -200)
m.add2(zc, 1, 0, -10)
assert np.all(zc == orig)
# a non-contiguous slice (this won't work on either the row- or
# column-contiguous refs, but should work for the any)
cornersr = zr[0::2, 0::2]
cornersc = zc[0::2, 0::2]
assert np.all(cornersr == np.array([[1., 3], [7, 9]]))
assert np.all(cornersc == np.array([[1., 3], [7, 9]]))
with pytest.raises(TypeError):
m.add_rm(cornersr, 0, 1, 25)
with pytest.raises(TypeError):
m.add_cm(cornersr, 0, 1, 25)
with pytest.raises(TypeError):
m.add_rm(cornersc, 0, 1, 25)
with pytest.raises(TypeError):
m.add_cm(cornersc, 0, 1, 25)
m.add_any(cornersr, 0, 1, 25)
m.add_any(cornersc, 0, 1, 44)
assert np.all(zr == np.array([[1., 2, 28], [4, 5, 6], [7, 8, 9]]))
assert np.all(zc == np.array([[1., 2, 47], [4, 5, 6], [7, 8, 9]]))
# You shouldn't be allowed to pass a non-writeable array to a mutating Eigen method:
zro = zr[0:4, 0:4]
zro.flags.writeable = False
with pytest.raises(TypeError):
m.add_rm(zro, 0, 0, 0)
with pytest.raises(TypeError):
m.add_any(zro, 0, 0, 0)
with pytest.raises(TypeError):
m.add1(zro, 0, 0, 0)
with pytest.raises(TypeError):
m.add2(zro, 0, 0, 0)
# integer array shouldn't be passable to a double-matrix-accepting mutating func:
zi = np.array([[1, 2], [3, 4]])
with pytest.raises(TypeError):
m.add_rm(zi)
def test_eigen_ref_mutators():
"""Tests Eigen's ability to mutate numpy values"""
orig = np.array([[1., 2, 3], [4, 5, 6], [7, 8, 9]])
zr = np.array(orig)
zc = np.array(orig, order='F')
m.add_rm(zr, 1, 0, 100)
assert np.all(zr == np.array([[1., 2, 3], [104, 5, 6], [7, 8, 9]]))
m.add_cm(zc, 1, 0, 200)
assert np.all(zc == np.array([[1., 2, 3], [204, 5, 6], [7, 8, 9]]))
m.add_any(zr, 1, 0, 20)
assert np.all(zr == np.array([[1., 2, 3], [124, 5, 6], [7, 8, 9]]))
m.add_any(zc, 1, 0, 10)
assert np.all(zc == np.array([[1., 2, 3], [214, 5, 6], [7, 8, 9]]))
# Can't reference a col-major array with a row-major Ref, and vice versa:
with pytest.raises(TypeError):
m.add_rm(zc, 1, 0, 1)
with pytest.raises(TypeError):
m.add_cm(zr, 1, 0, 1)
# Overloads:
m.add1(zr, 1, 0, -100)
m.add2(zr, 1, 0, -20)
assert np.all(zr == orig)
m.add1(zc, 1, 0, -200)
m.add2(zc, 1, 0, -10)
assert np.all(zc == orig)
# a non-contiguous slice (this won't work on either the row- or
# column-contiguous refs, but should work for the any)
cornersr = zr[0::2, 0::2]
cornersc = zc[0::2, 0::2]
assert np.all(cornersr == np.array([[1., 3], [7, 9]]))
assert np.all(cornersc == np.array([[1., 3], [7, 9]]))
with pytest.raises(TypeError):
m.add_rm(cornersr, 0, 1, 25)
with pytest.raises(TypeError):
m.add_cm(cornersr, 0, 1, 25)
with pytest.raises(TypeError):
m.add_rm(cornersc, 0, 1, 25)
with pytest.raises(TypeError):
m.add_cm(cornersc, 0, 1, 25)
m.add_any(cornersr, 0, 1, 25)
m.add_any(cornersc, 0, 1, 44)
assert np.all(zr == np.array([[1., 2, 28], [4, 5, 6], [7, 8, 9]]))
assert np.all(zc == np.array([[1., 2, 47], [4, 5, 6], [7, 8, 9]]))
# You shouldn't be allowed to pass a non-writeable array to a mutating Eigen method:
zro = zr[0:4, 0:4]
zro.flags.writeable = False
with pytest.raises(TypeError):
m.add_rm(zro, 0, 0, 0)
with pytest.raises(TypeError):
m.add_any(zro, 0, 0, 0)
with pytest.raises(TypeError):
m.add1(zro, 0, 0, 0)
with pytest.raises(TypeError):
m.add2(zro, 0, 0, 0)
# integer array shouldn't be passable to a double-matrix-accepting mutating func:
zi = np.array([[1, 2], [3, 4]])
with pytest.raises(TypeError):
m.add_rm(zi)
