def test_fixed_trial_system_attrs():
# type: () -> None
trial = FixedTrial({"x": 1})
trial.set_system_attr("system_message", "test")
assert trial.system_attrs["system_message"] == "test"
def test_fixed_trial_datetime_start():
# type: () -> None
params = {"x": 1}
trial = FixedTrial(params)
assert trial.datetime_start is not None
def test_fixed_trial_user_attrs():
# type: () -> None
trial = FixedTrial({"x": 1})
trial.set_user_attr("data", "MNIST")
assert trial.user_attrs["data"] == "MNIST"
def test_fixed_trial_system_attrs():
# type: () -> None
trial = FixedTrial({'x': 1})
trial.set_system_attr('system_message', 'test')
assert trial.system_attrs['system_message'] == 'test'
def test_fixed_trial_should_prune():
# type: () -> None
# FixedTrial never prunes trials.
assert FixedTrial({}).should_prune() is False
assert FixedTrial({}).should_prune(1) is False
def test_fixed_trial_params():
# type: () -> None
params = {'x': 1}
trial = FixedTrial(params)
assert trial.params == params
def test_fixed_trial_user_attrs():
# type: () -> None
trial = FixedTrial({'x': 1})
trial.set_user_attr('data', 'MNIST')
assert trial.user_attrs['data'] == 'MNIST'
def best_params(self) -> dict:
"""Return best parameters so far"""
trial = FixedTrial(self.study_.best_params)
return self.pipeline.parameters(trial=trial)
def test_user_attrs() -> None:
trial = FixedTrial({"x": 1})
trial.set_user_attr("data", "MNIST")
assert trial.user_attrs["data"] == "MNIST"
def test_datetime_start() -> None:
params = {"x": 1}
trial = FixedTrial(params)
assert trial.datetime_start is not None
def test_should_prune() -> None:
# FixedTrial never prunes trials.
assert FixedTrial({}).should_prune() is False
def test_report() -> None:
# FixedTrial ignores reported values.
trial = FixedTrial({})
trial.report(1.0, 1)
trial.report(2.0, 2)
