def _setup_studies(
storage: BaseStorage,
n_study: int,
n_trial: int,
seed: int,
direction: Optional[StudyDirection] = None,
) -> Tuple[Dict[int, FrozenStudy], Dict[int, Dict[int, FrozenTrial]]]:
generator = random.Random(seed)
study_id_to_frozen_study: Dict[int, FrozenStudy] = {}
study_id_to_trials: Dict[int, Dict[int, FrozenTrial]] = {}
for i in range(n_study):
study_name = "test-study-name-{}".format(i)
study_id = storage.create_new_study(study_name=study_name)
if direction is None:
direction = generator.choice(
[StudyDirection.MINIMIZE, StudyDirection.MAXIMIZE])
storage.set_study_directions(study_id, (direction, ))
storage.set_study_user_attr(study_id, "u", i)
storage.set_study_system_attr(study_id, "s", i)
trials = {}
for j in range(n_trial):
trial = _generate_trial(generator)
trial.number = j
trial._trial_id = storage.create_new_trial(study_id, trial)
trials[trial._trial_id] = trial
study_id_to_trials[study_id] = trials
study_id_to_frozen_study[study_id] = FrozenStudy(
study_name=study_name,
direction=direction,
user_attrs={"u": i},
system_attrs={"s": i},
study_id=study_id,
)
return study_id_to_frozen_study, study_id_to_trials
def _setup_studies(
storage: BaseStorage,
n_study: int,
n_trial: int,
seed: int,
direction: Optional[StudyDirection] = None,
) -> Tuple[Dict[int, StudySummary], Dict[int, Dict[int, FrozenTrial]]]:
generator = random.Random(seed)
study_id_to_summary = {} # type: Dict[int, StudySummary]
study_id_to_trials = {} # type: Dict[int, Dict[int, FrozenTrial]]
for i in range(n_study):
study_name = "test-study-name-{}".format(i)
study_id = storage.create_new_study(study_name=study_name)
if direction is None:
direction = generator.choice(
[StudyDirection.MINIMIZE, StudyDirection.MAXIMIZE])
storage.set_study_direction(study_id, direction)
best_trial = None
trials = {}
datetime_start = None
for j in range(n_trial):
trial = _generate_trial(generator)
trial.number = j
trial._trial_id = storage.create_new_trial(study_id, trial)
trials[trial._trial_id] = trial
if datetime_start is None:
datetime_start = trial.datetime_start
else:
datetime_start = min(datetime_start, trial.datetime_start)
if trial.state == TrialState.COMPLETE and trial.value is not None:
if best_trial is None:
best_trial = trial
else:
if direction == StudyDirection.MINIMIZE and trial.value < best_trial.value:
best_trial = trial
elif direction == StudyDirection.MAXIMIZE and best_trial.value < trial.value:
best_trial = trial
study_id_to_trials[study_id] = trials
study_id_to_summary[study_id] = StudySummary(
study_name=study_name,
direction=direction,
best_trial=best_trial,
user_attrs={},
system_attrs={},
n_trials=len(trials),
datetime_start=datetime_start,
study_id=study_id,
)
return study_id_to_summary, study_id_to_trials