d1eb8732e44fac136862125dc7811f153f720b29,tests/samplers_tests/tpe_tests/test_sampler.py,,test_sample_relative_handle_unsuccessful_states,#Any#,339

Before Change

    with warnings.catch_warnings():
        warnings.simplefilter("ignore", optuna.exceptions.ExperimentalWarning)
        sampler = TPESampler(n_startup_trials=5, seed=0, multivariate=True)
    with patch.object(study._storage, "get_all_trials", return_value=past_trials):
        all_success_suggestion = sampler.sample_relative(study, trial, {"param-a": dist})

    // Test unsuccessful trials are handled differently.
    state_fn = build_state_fn(state)
    past_trials = [frozen_trial_factory(i, dist=dist, state_fn=state_fn) for i in range(1, 100)]
    trial = frozen_trial_factory(100)
    with warnings.catch_warnings():

After Change

    all_success_suggestion = sampler.sample_relative(study, trial, {"param-a": dist})

    // Test unsuccessful trials are handled differently.
    study = optuna.create_study()
    state_fn = build_state_fn(state)
    for i in range(1, 100):
        trial = frozen_trial_factory(i, dist=dist, state_fn=state_fn)
        study._storage.create_new_trial(study._study_id, template_trial=trial)

Instances