def test_matrix_minor_raises_if_idx_out_of_bounds():
A = np.array([[3, 13, 14, 10, 12], [8, 15, 4, 16, 5], [6, 11, 7, 9, 17]])
with raises(AssertionError):
_ = matrix_minor(A, 0, 5) # 5 exceeds index of final column
with raises(AssertionError):
_ = matrix_minor(A, 3, 0) # 3 exceeds index of final row
def test_matrix_minor_raises_if_array_not_at_least_2x2():
A = np.array([3, 13, 14, 10, 12]).reshape(1, 5)
with raises(AssertionError):
_ = matrix_minor(A, 0, 2)
A = np.array([3, 13, 14, 10, 12]).reshape(5, 1)
with raises(AssertionError):
_ = matrix_minor(A, 2, 0)
def test_matrix_minor_2x2():
A = np.array([[3, 13], [8, 15]])
output = matrix_minor(A, 1, 1)
expected = np.array([[3]])
assert_allclose(output, expected)
def test_matrix_minor_interior():
A = np.array([[3, 13, 14, 10, 12], [8, 15, 4, 16, 5], [6, 11, 7, 9, 17]])
output = matrix_minor(A, 1, 3)
expected = np.array([[3, 13, 14, 12], [6, 11, 7, 17]])
assert_allclose(output, expected)
def test_matrix_minor():
A = np.array([[3, 13, 14, 10, 12], [8, 15, 4, 16, 5],
[6, 11, 7, 9, 17]]) # <- eliminate this row (idx = 2)
# \
# eliminate this column (idx = 1)
output = matrix_minor(A, 2, 1)
expected = np.array([[3, 14, 10, 12], [8, 4, 16, 5]])
assert_allclose(output, expected)