Exemple #1
0
 def test_empty(self, space):
     """Test panda frame creation when there is no trials"""
     with OrionState():
         exp = Experiment("supernaekei", mode="x")
         exp.space = space
         assert exp.to_pandas().shape == (0, 8)
         assert list(exp.to_pandas().columns) == [
             "id",
             "experiment_id",
             "status",
             "suggested",
             "reserved",
             "completed",
             "objective",
             "/index",
         ]
Exemple #2
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 def test_data(self, space):
     """Verify the data in the panda frame is coherent with database"""
     with OrionState(trials=generate_trials(
         ["new", "reserved", "completed"])) as cfg:
         exp = Experiment("supernaekei", mode="x")
         exp._id = cfg.trials[0]["experiment"]
         exp.space = space
         df = exp.to_pandas()
         assert df.shape == (3, 8)
         assert list(df["id"]) == [trial["_id"] for trial in cfg.trials]
         assert all(df["experiment_id"] == exp._id)
         assert list(df["status"]) == ["completed", "reserved", "new"]
         assert list(df["suggested"]) == [
             trial["submit_time"] for trial in cfg.trials
         ]
         assert df["reserved"][0] == cfg.trials[0]["start_time"]
         assert df["reserved"][1] == cfg.trials[1]["start_time"]
         assert df["reserved"][2] is pandas.NaT
         assert df["completed"][0] == cfg.trials[0]["end_time"]
         assert df["completed"][1] is pandas.NaT
         assert df["completed"][2] is pandas.NaT
         assert list(df["objective"]) == [2, 1, 0]
         assert list(df["/index"]) == [2, 1, 0]