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How to use run_sequential method in tox

Best Python code snippet using tox_python

test_batching.py

Source:test_batching.py

...25        bn_images,26        bn_labels,27        individual_kwargs=[{"epsilons": 900} for _ in bn_images],28    )29    advs1s = run_sequential(30        Attack,31        bn_model,32        bn_criterion,33        bn_images,34        bn_labels,35        individual_kwargs=[{"epsilons": 900} for _ in bn_images],36    )37    advs2 = attack(38        bn_images,39        bn_labels,40        unpack=False,41        individual_kwargs=[{"epsilons": 900} for _ in bn_images],42        max_epsilon=0.99,43    )44    advs2p = run_parallel(45        Attack,46        bn_model,47        bn_criterion,48        bn_images,49        bn_labels,50        individual_kwargs=[{"epsilons": 900} for _ in bn_images],51        max_epsilon=0.99,52    )53    advs2s = run_sequential(54        Attack,55        bn_model,56        bn_criterion,57        bn_images,58        bn_labels,59        individual_kwargs=[{"epsilons": 900} for _ in bn_images],60        max_epsilon=0.99,61    )62    advs3 = attack(bn_images, bn_labels, unpack=False, max_epsilon=0.99)63    advs3p = run_parallel(64        Attack, bn_model, bn_criterion, bn_images, bn_labels, max_epsilon=0.9965    )66    advs3s = run_sequential(67        Attack, bn_model, bn_criterion, bn_images, bn_labels, max_epsilon=0.9968    )69    for i in range(len(bn_images)):70        assert advs1[i].perturbed is not None71        assert advs2[i].perturbed is not None72        assert advs3[i].perturbed is not None73        assert advs1p[i].perturbed is not None74        assert advs2p[i].perturbed is not None75        assert advs3p[i].perturbed is not None76        assert advs1s[i].perturbed is not None77        assert advs2s[i].perturbed is not None78        assert advs3s[i].perturbed is not None79        assert np.allclose(advs1[i].perturbed, advs1p[i].perturbed)80        assert np.allclose(advs1[i].perturbed, advs1s[i].perturbed)81        assert np.allclose(advs2[i].perturbed, advs2p[i].perturbed)82        assert np.allclose(advs2[i].perturbed, advs2s[i].perturbed)83        assert np.allclose(advs3[i].perturbed, advs3p[i].perturbed)84        assert np.allclose(advs3[i].perturbed, advs3s[i].perturbed)85def test_run_parallel_invalid_arguments(bn_model, bn_criterion, bn_images, bn_labels):86    labels_wrong = bn_labels[[0]]87    criteria_wrong = [bn_criterion] * (len(bn_images) + 1)88    distances_wrong = [MSE] * (len(bn_images) + 1)89    individual_kwargs_wrong = [{"max_epsilon": 1}] * (len(bn_images) + 1)90    # test too few labels91    with pytest.raises(AssertionError):92        run_parallel(Attack, bn_model, bn_criterion, bn_images, labels_wrong)93    # test too many criteria94    with pytest.raises(AssertionError):95        run_parallel(Attack, bn_model, criteria_wrong, bn_images, bn_labels)96    # test too many distances97    with pytest.raises(AssertionError):98        run_parallel(99            Attack,100            bn_model,101            bn_criterion,102            bn_images,103            bn_labels,104            distance=distances_wrong,105        )106    # test too many kwargs107    with pytest.raises(AssertionError):108        run_parallel(109            Attack,110            bn_model,111            bn_criterion,112            bn_images,113            bn_labels,114            individual_kwargs=individual_kwargs_wrong,115        )116def test_run_sequential(bn_model, bn_criterion, bn_images, bn_labels):117    attack = Attack(bn_model, bn_criterion)118    advs1 = attack(bn_images, bn_labels)119    advs2 = run_sequential(Attack, bn_model, bn_criterion, bn_images, bn_labels)120    advs2 = np.stack([a.perturbed for a in advs2])121    assert np.all(advs1 == advs2)122def test_run_sequential_invalid_arguments(bn_model, bn_criterion, bn_images, bn_labels):123    labels_wrong = bn_labels[[0]]124    criteria_wrong = [bn_criterion] * (len(bn_images) + 1)125    distances_wrong = [MSE] * (len(bn_images) + 1)126    individual_kwargs_wrong = [{"max_epsilon": 1}] * (len(bn_images) + 1)127    # test too few labels128    with pytest.raises(AssertionError):129        run_sequential(Attack, bn_model, bn_criterion, bn_images, labels_wrong)130    # test too many criteria131    with pytest.raises(AssertionError):132        run_sequential(Attack, bn_model, criteria_wrong, bn_images, bn_labels)133    # test too many distances134    with pytest.raises(AssertionError):135        run_sequential(136            Attack,137            bn_model,138            bn_criterion,139            bn_images,140            bn_labels,141            distance=distances_wrong,142        )143    # test too many kwargs144    with pytest.raises(AssertionError):145        run_sequential(146            Attack,147            bn_model,148            bn_criterion,149            bn_images,150            bn_labels,151            individual_kwargs=individual_kwargs_wrong,...

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