f559fd7a6216be535e7ef8976041f2997e90c946,tests/integration_tests/test_xgboost.py,,test_xgboost_pruning_callback_call,#,9

Before Change

    // The pruner is activated.
    study = optuna.create_study(pruner=DeterministicPruner(True))
    trial = study._run_trial(func=lambda _: 1.0, catch=(Exception, ))
    pruning_callback = XGBoostPruningCallback(trial, "validation-error")
    with pytest.raises(optuna.structs.TrialPruned):
        pruning_callback(env)

After Change

    // The pruner is deactivated.
    study = optuna.create_study(pruner=DeterministicPruner(False))
    trial = create_running_trial(study, 1.0)
    pruning_callback = XGBoostPruningCallback(trial, "validation-error")
    pruning_callback(env)

    // The pruner is activated.

Instances