def test_lambda_cut():
x = np.arange(21) - 10
mfx = fuzz.trimf(x, [-2, 3, 5])
# fuzz.lambda_cut test
expected = np.r_[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0,
0, 0]
result = fuzz.lambda_cut(mfx, 0.33)
assert_allclose(expected, result)
# fuzz.arglcut test
expected = np.r_[10, 11, 12, 13, 14]
result = fuzz.arglcut(mfx, 0.33)
assert len(result) == 1
assert_allclose(expected, result[0])
def test_lambda_cut():
x = np.arange(21) - 10
mfx = fuzz.trimf(x, [-2, 3, 5])
# fuzz.lambda_cut test
expected = np.r_[0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0]
result = fuzz.lambda_cut(mfx, 0.33)
assert_allclose(expected, result)
# fuzz.arglcut test
expected = np.r_[10, 11, 12, 13, 14]
result = fuzz.arglcut(mfx, 0.33)
assert len(result) == 1
assert_allclose(expected, result[0])