def test_call(self):
"""Test to get task function"""
egg = EggHolder(2)
assert callable(egg)
objectives = egg([1, 2])
assert type(objectives[0]) == dict
def test_call(self):
"""Test to get task function"""
task = EggHolder(2)
assert callable(task)
objectives = task([1, 2])
assert type(objectives[0]) == dict
def test_creation(self):
"""Test creation"""
branin = EggHolder(max_trials=2, dim=3)
assert branin.max_trials == 2
assert branin.configuration == {
"EggHolder": {
"dim": 3,
"max_trials": 2
}
}
def test_simple():
"""Test a end 2 end exucution of benchmark"""
task_num = 2
trial_num = 20
assessments = [AverageResult(task_num), AverageRank(task_num)]
tasks = [
RosenBrock(trial_num, dim=3),
EggHolder(trial_num, dim=4),
CarromTable(trial_num),
Branin(trial_num),
BirdLike(trial_num),
]
benchmark = get_or_create_benchmark(
name="bm001",
algorithms=algorithms,
targets=[{
"assess": assessments,
"task": tasks
}],
)
benchmark.process()
assert len(benchmark.studies) == len(assessments) * len(tasks)
status = benchmark.status()
experiments = benchmark.experiments()
assert len(experiments
) == len(algorithms) * task_num * len(assessments) * len(tasks)
assert len(status) == len(algorithms) * len(assessments) * len(tasks)
figures = benchmark.analysis()
assert len(figures) == len(benchmark.studies)
assert type(figures[0]) is plotly.graph_objects.Figure
benchmark = get_or_create_benchmark(name="bm001")
figures = benchmark.analysis()
assert len(figures) == len(benchmark.studies)
assert type(figures[0]) is plotly.graph_objects.Figure
def test_search_space(self):
"""Test to get task search space"""
egg = EggHolder(2)
assert egg.get_search_space() == {"x": "uniform(-512, 512, shape=2)"}