def test_fuzzy_min():
x = np.r_[0:8]
A = np.r_[0, .3, .6, .8, 1, .7, .2, 0]
B = np.r_[0, 1, .9, .5, .2, .1, 0, 0]
testu_, test_mf = fuzzy_min(x, A, x, B)
expected_u = np.r_[0., 1., 2., 3., 4., 5., 6., 7.]
expected_mf = np.r_[0., 1., 0.9, 0.5, 0.2, 0.1, 0., 0.]
assert_allclose(testu_, expected_u)
assert_allclose(test_mf, expected_mf)
def test_fuzzy_min():
x = np.r_[0:8]
A = np.r_[0, .3, .6, .8, 1, .7, .2, 0]
B = np.r_[0, 1, .9, .5, .2, .1, 0, 0]
testu_, test_mf = fuzzy_min(x, A, x, B)
expected_u = np.r_[0., 1., 2., 3., 4., 5., 6., 7.]
expected_mf = np.r_[0., 1., 0.9, 0.5, 0.2, 0.1, 0., 0.]
assert_allclose(testu_, expected_u)
assert_allclose(test_mf, expected_mf)