(name, params)
| 9 | @pytest.mark.parametrize('name', [f"wfg{k}" for k in range(1, 10)]) |
| 10 | @pytest.mark.parametrize('params', [(2, 6, 4), (3, 6, 4), (10, 20, 18)]) |
| 11 | def test_problems(name, params): |
| 12 | n_obj, n_var, k = params |
| 13 | problem = get_problem(name, n_var, n_obj, k) |
| 14 | |
| 15 | X, F = load("problems", "WFG", f"{n_obj}obj", name.upper(), attrs=["x", "f"]) |
| 16 | _F = problem.evaluate(X) |
| 17 | |
| 18 | np.testing.assert_allclose(_F, F) |
| 19 | |
| 20 | # this is not tested automatically |
| 21 | try: |
| 22 | optprobs_F = [] |
| 23 | for x in X: |
| 24 | from optproblems.base import Individual |
| 25 | ind = Individual(phenome=x) |
| 26 | from_optproblems(problem).evaluate(ind) |
| 27 | optprobs_F.append(ind.objective_values) |
| 28 | optprobs_F = np.array(optprobs_F) |
| 29 | |
| 30 | np.testing.assert_allclose(_F, optprobs_F) |
| 31 | except: |
| 32 | print("NOT MATCHING") |
| 33 | |
| 34 | |
| 35 |
nothing calls this directly
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