def test_approximate_max_intensity():
m1 = Matrix([
[1.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
])
m2 = Matrix([
[0.0, 0.0, 1.0],
[0.0, 1.0, 0.0],
])
m1.approximate(m2, 1.0)
expected = Matrix([
[0.0, 0.0, 1.0],
[0.0, 1.0, 0.0],
])
assert matrixes_almost_equal(m1, expected)
def test_approximate_nothing():
m1 = Matrix([
[1.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
])
m2 = Matrix([
[1.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
])
m1.approximate(m2, 1.0)
expected = Matrix([
[1.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
])
assert matrixes_almost_equal(m1, expected)
def test_approximate_some_intensity():
m1 = Matrix([
[1.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
])
m2 = Matrix([
[0.0, 0.0, 1.0],
[0.0, 1.0, 0.0],
])
m1.approximate(m2, 0.1)
expected = Matrix([
[0.9, 0.0, 0.1],
[0.9, 0.1, 0.0],
])
assert matrixes_almost_equal(m1, expected)
m1.approximate(m2, 0.1)
expected = Matrix([
[0.819, 0.0, 0.19],
[0.819, 0.19, 0.0],
])
assert matrixes_almost_equal(m1, expected)
