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How to use fail_predicate method in Slash

Best Python code snippet using slash

test_requirements.py

Source:test_requirements.py

...32    assert checkpoint2.called33def test_requirements_raises_exception(suite, suite_test):34    @suite_test.file.append_body35    def __code__():  # pylint: disable=unused-variable36        def fail_predicate():  # pylint: disable=unused-variable37            raise Exception("Failing")38    suite_test.add_decorator("slash.requires(fail_predicate)")39    suite_test.expect_error()40    summary = suite.run()41    assert not summary.session.results.is_success(allow_skips=True)42def test_requirements_mismatch_session_success(suite, suite_test):43    suite_test.add_decorator("slash.requires(False)")44    suite_test.expect_skip()45    summary = suite.run()46    assert summary.session.results.is_success(allow_skips=True)47@pytest.mark.parametrize("requirement_fullfilled", [True, False])48@pytest.mark.parametrize("use_message", [True, False])49@pytest.mark.parametrize("use_fixtures", [True, False])50@pytest.mark.parametrize("message_in_retval", [True, False])...

test_stlqfcnn.py

Source:test_stlqfcnn.py

...79    assert len(optimizer.trials) == 480def test_optimize(tmpdir, monkeypatch, mocker):81    orig_build_estimator_params = STLQFCNNHyperparameterOptimizer.build_estimator_params82    def mock_build_estimator_params(self, **kwargs):83        if fail_predicate():84            raise BadEstimatorParams85        return orig_build_estimator_params(self, **kwargs)86    monkeypatch.chdir(tmpdir)87    mocker.patch.object(cli, "f_train")88    mocker.patch.object(STLQFCNNHyperparameterOptimizer, "calculate_loss_and_duration", return_value=(0, 0, 0))89    monkeypatch.setattr(STLQFCNNHyperparameterOptimizer, "build_estimator_params", mock_build_estimator_params)90    mocker.patch.object(Database, "dump_estimator_params")91    db = Database(hyperopt="test")92    space = dict(93        history_shape=[hp.choice("a", [7, 14]), 24],94        learning_rate=hp.loguniform("lr", -13, -4),95        conv_layers_params=[96            dict(97                filter_shape=[hp.choice("b", [1, 3, 5]), hp.choice("c", [3, 5, 7, 9])],...

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