def test_same_3():
# 1-D rows
A = sp.array([[1., 0, 0]])
B = sp.array([[1., 0, 0]])
assert (same_rows(A, B) is True)
def test_elements_4():
# 0-D numpy arrays, with different elements
A = sp.array([1., 0, 0])
B = sp.array([1, 2, -3])
assert (same_rows(A, B) is False)
def test_shape_7():
# both row vectors, same elements
A = sp.array([[1., 0, 0, 0, 0]])
B = sp.array([[1., 0, 0, 0, 0]])
assert (same_rows(A, B) is True)
def test_shape_8():
# one row vectors, one column vector
A = sp.array([[1., 0, 0, 0, 0]])
B = sp.array([[1., 0, 0, 0, 0]]).T
assert (same_rows(A, B) is False)
def test_shape_6():
# both row vectors, different elements
A = sp.array([[1., 0, 0, 0, 0]])
B = sp.array([[1., 0, 0, 1, 0]])
assert (same_rows(A, B) is False)
def test_shape_5():
# both column vectors, same elements
A = sp.array([[1., 2, 3, 4, 5]]).T
B = sp.array([[1., 2, 3, 4, 5]]).T
assert (same_rows(A, B) is True)
def test_shape_4():
# both column vectors, different elements
A = sp.array([[1., 0, 0, 0, 0]]).T
B = sp.array([[1., 0, 0, 1, 0]]).T
assert (same_rows(A, B) is False)
def test_same_4():
# identical copies
A = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
B = A
assert (same_rows(A, B) is True)
def test_elements_5():
# same shape, just the negative of one another
A = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
B = -A
assert (same_rows(A, B) is False)
def test_elements_3():
# same shape, just transposed
A = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
B = A.T
assert (same_rows(A, B) is False)
def test_2():
# 1-D nullspace
A = sp.array([[1., 0, 0],
[0, 1, 0]])
N = artools.nullspace(A)
N_ref = sp.array([[0., 0, 1]]).T
assert (artools.same_rows(N, N_ref) is True)
def test_shape_1():
# different shapes
A = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
B = sp.array([[1., 0, 0],
[0, 1, 2]])
assert (same_rows(A, B) is False)
def test_same_1():
# identical matrices
A = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
B = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
assert (same_rows(A, B) is True)
def test_elements_2():
# same shape, different elements
A = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
B = sp.array([[0., 0, 0],
[0, 0, 0],
[0, 0, 0]])
assert (same_rows(A, B) is False)
def test_same_2():
# same rows, different order
A = sp.array([[1., 0, 0],
[0, 1, 2],
[0, 1, 3]])
B = sp.array([[1., 0, 0],
[0, 1, 3],
[0, 1, 2]])
assert (same_rows(A, B) is True)
def test_2D_1():
# 2-D mass balance triangle
A = sp.array([[-1., 0],
[0, -1],
[1, 1]])
b = sp.array([[0., 0, 1]]).T
vs = artools.con2vert(A, b)
vs_ref = sp.array([[0., 1], [0, 0], [1, 0]])
assert (artools.same_rows(vs, vs_ref) is True)
def test_2D_3():
# mass blanace triangle cut at y = 0.5
A = sp.array([[-1., 0],
[0, -1],
[1, 1],
[0, 1]])
b = sp.array([[0., 0, 1, 0.5]]).T
vs = artools.con2vert(A, b)
vs_ref = sp.array([[0, 0.5],
[0, 0],
[1, 0],
[0.5, 0.5]])
assert (artools.same_rows(vs, vs_ref) is True)
def test_2D_2():
# 2-D unit square
A = sp.array([[-1., 0],
[0, -1],
[1, 0],
[0, 1]])
b = sp.array([[0., 0, 1, 1]]).T
vs = artools.con2vert(A, b)
vs_ref = sp.array([[0., 1],
[0, 0],
[1, 0],
[1, 1]])
assert (artools.same_rows(vs, vs_ref) is True)
def test_arrays_3():
# A is a column vector, B is a 0-D array
A = sp.array([[1., 2, 3, 4, 5]]).T
B = sp.array([1., 2, 3, 4, 5])
assert (same_rows(A, B) is False)
def test_arrays_1():
# both 0-D arrays
A = sp.array([1., 2, 3, 4, 5])
B = sp.array([1., 2, 3, 4, 5])
assert (same_rows(A, B) is True)
def test_arrays_2():
# A is a row vector, B is a 0-D array
A = sp.array([[1., 2, 3, 4, 5]])
B = sp.array([1., 2, 3, 4, 5])
assert (same_rows(A, B) is False)
