mirror of
https://github.com/wassname/optuna-dashboard.git
synced 2026-09-26 14:00:39 +08:00
Merge branch 'main' into add_streamlit_helper
This commit is contained in:
cross32768
@@ -0,0 +1,257 @@
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import socket
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import threading
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from wsgiref.simple_server import make_server
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import optuna
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from optuna_dashboard import wsgi
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import pytest
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study_names = [
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"single",
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"single-trial",
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"single-1-param",
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"single-dynamic",
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"single-inf",
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"multi-objective",
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"multi-dynamic",
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"single-pruned-without-report",
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"single-inf-report",
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"issue-410",
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"single-no-trials",
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"multi-no-trials",
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]
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def make_dummy_storage(study_name: str) -> optuna.storages.InMemoryStorage:
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storage = optuna.storages.InMemoryStorage()
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sampler = optuna.samplers.RandomSampler(seed=0)
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# Sinble objective study
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if study_name == "single":
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study = optuna.create_study(study_name=study_name, storage=storage, sampler=sampler)
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def objective_single(trial: optuna.Trial) -> float:
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x1 = trial.suggest_float("x1", 0, 10)
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x2 = trial.suggest_float("x2", 0, 10)
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return (x1 - 2) ** 2 + (x2 - 5) ** 2
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study.optimize(objective_single, n_trials=50)
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# A single objective study with a single trial
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# Refs: https://github.com/optuna/optuna-dashboard/issues/401
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elif study_name == "single-trial":
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study = optuna.create_study(study_name=study_name, storage=storage, sampler=sampler)
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def objective_single(trial: optuna.Trial) -> float:
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x1 = trial.suggest_float("x1", 0, 10)
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x2 = trial.suggest_float("x2", 0, 10)
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return (x1 - 2) ** 2 + (x2 - 5) ** 2
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study.optimize(objective_single, n_trials=1)
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# Single-objective study with 1 parameter
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elif study_name == "single-1-param":
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study = optuna.create_study(
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study_name=study_name, storage=storage, direction="maximize", sampler=sampler
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)
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def objective_single_with_1param(trial: optuna.Trial) -> float:
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x1 = trial.suggest_float("x1", 0, 10)
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return -((x1 - 2) ** 2)
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study.optimize(objective_single_with_1param, n_trials=50)
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# Single-objective study with dynamic search space
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elif study_name == "single-dynamic":
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study = optuna.create_study(
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study_name=study_name, storage=storage, direction="maximize", sampler=sampler
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)
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def objective_single_dynamic(trial: optuna.Trial) -> float:
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category = trial.suggest_categorical("category", ["foo", "bar"])
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if category == "foo":
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return (trial.suggest_float("x1", 0, 10) - 2) ** 2
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else:
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return -((trial.suggest_float("x2", -10, 0) + 5) ** 2)
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study.optimize(objective_single_dynamic, n_trials=50)
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# Single objective study with 'inf', '-inf', or 'nan' value
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elif study_name == "single-inf":
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study = optuna.create_study(study_name=study_name, storage=storage, sampler=sampler)
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def objective_single_inf(trial: optuna.Trial) -> float:
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x = trial.suggest_float("x", -10, 10)
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if trial.number % 3 == 0:
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return float("inf")
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elif trial.number % 3 == 1:
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return float("-inf")
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else:
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return x**2
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study.optimize(objective_single_inf, n_trials=50)
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# Multi-objective study
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elif study_name == "multi-objective":
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study = optuna.create_study(
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study_name=study_name,
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storage=storage,
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directions=["minimize", "minimize"],
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sampler=sampler,
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)
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def objective_multi(trial: optuna.Trial) -> tuple[float, float]:
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x = trial.suggest_float("x", 0, 5)
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y = trial.suggest_float("y", 0, 3)
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v0 = 4 * x**2 + 4 * y**2
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v1 = (x - 5) ** 2 + (y - 5) ** 2
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return v0, v1
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study.optimize(objective_multi, n_trials=50)
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# Multi-objective study with dynamic search space
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elif study_name == "multi-dynamic":
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study = optuna.create_study(
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study_name=study_name,
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storage=storage,
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directions=["minimize", "minimize"],
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sampler=sampler,
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)
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def objective_multi_dynamic(trial: optuna.Trial) -> tuple[float, float]:
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category = trial.suggest_categorical("category", ["foo", "bar"])
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if category == "foo":
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x = trial.suggest_float("x1", 0, 5)
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y = trial.suggest_float("y1", 0, 3)
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v0 = 4 * x**2 + 4 * y**2
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v1 = (x - 5) ** 2 + (y - 5) ** 2
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return v0, v1
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else:
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x = trial.suggest_float("x2", 0, 5)
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y = trial.suggest_float("y2", 0, 3)
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v0 = 2 * x**2 + 2 * y**2
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v1 = (x - 2) ** 2 + (y - 3) ** 2
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return v0, v1
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study.optimize(objective_multi_dynamic, n_trials=50)
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# Pruning with no intermediate values
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elif study_name == "single-pruned-without-report":
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study = optuna.create_study(study_name=study_name, storage=storage, sampler=sampler)
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def objective_prune_without_report(trial: optuna.Trial) -> float:
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x = trial.suggest_float("x", -15, 30)
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y = trial.suggest_float("y", -15, 30)
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v = x**2 + y**2
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if v > 100:
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raise optuna.TrialPruned()
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return v
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study.optimize(objective_prune_without_report, n_trials=100)
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# Single objective pruned after reported 'inf', '-inf', or 'nan'
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elif study_name == "single-inf-report":
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study = optuna.create_study(study_name=study_name, storage=storage, sampler=sampler)
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def objective_single_inf_report(trial: optuna.Trial) -> float:
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x = trial.suggest_float("x", -10, 10)
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if trial.number % 3 == 0:
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trial.report(float("inf"), 1)
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elif trial.number % 3 == 1:
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trial.report(float("-inf"), 1)
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else:
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trial.report(float("nan"), 1)
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if x > 0:
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raise optuna.TrialPruned()
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else:
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return x**2
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study.optimize(objective_single_inf_report, n_trials=50)
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# Issue 410
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elif study_name == "issue-410":
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study = optuna.create_study(study_name=study_name, storage=storage, sampler=sampler)
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def objective_issue_410(trial: optuna.Trial) -> float:
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trial.suggest_categorical("resample_rate", ["50ms"])
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trial.suggest_categorical("channels", ["all"])
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trial.suggest_categorical("window_size", [256])
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if trial.number > 15:
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raise Exception("Unexpected error")
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trial.suggest_categorical("cbow", [True])
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trial.suggest_categorical("model", ["m1"])
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trial.set_user_attr("epochs", 0)
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trial.set_user_attr("deterministic", True)
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if trial.number > 10:
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raise Exception("unexpeccted error")
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trial.set_user_attr("folder", "/path/to/folder")
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trial.set_user_attr("resample_type", "foo")
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trial.set_user_attr("run_id", "0001")
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return 1.0
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study.optimize(objective_issue_410, n_trials=20, catch=(Exception,))
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# No trials single-objective study
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elif study_name == "single-no-trials":
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optuna.create_study(study_name=study_name, storage=storage, sampler=sampler)
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# No trials multi-objective study
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elif study_name == "multi-no-trials":
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optuna.create_study(
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study_name=study_name,
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storage=storage,
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directions=["minimize", "maximize"],
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sampler=sampler,
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)
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else:
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assert False, f"No study configuration of {study_name} in conftest.py"
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return storage
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def get_free_port() -> int:
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tcp = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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tcp.bind(("", 0))
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_, port = tcp.getsockname()
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tcp.close()
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return port
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@pytest.fixture(scope="session", params=study_names)
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def storage(request: pytest.FixtureRequest) -> optuna.storages.InMemoryStorage:
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study_name = request.param
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storage = make_dummy_storage(study_name)
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return storage
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@pytest.fixture(scope="session")
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def server_url(request: pytest.FixtureRequest, storage: optuna.storages.InMemoryStorage) -> str:
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addr = "127.0.0.1"
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port = get_free_port()
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app = wsgi(storage)
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httpd = make_server(addr, port, app)
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thread = threading.Thread(target=httpd.serve_forever)
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thread.start()
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def stop_server() -> None:
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httpd.shutdown()
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httpd.server_close()
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thread.join()
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request.addfinalizer(stop_server)
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return f"http://{addr}:{port}/dashboard"
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@pytest.fixture(scope="session")
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def browser_context_args(browser_context_args: dict) -> dict:
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return {
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**browser_context_args,
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"viewport": {
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"width": 1000,
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"height": 3000,
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},
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}
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@@ -1,25 +1,106 @@
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import re
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from playwright.sync_api import expect
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import optuna
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from playwright.sync_api import Page
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def test_homepage_has_Playwright_in_title_and_get_started_link_linking_to_the_intro_page(
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def test_study_list(
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page: Page,
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storage: optuna.storages.InMemoryStorage,
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server_url: str,
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) -> None:
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page.goto("https://playwright.dev/")
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summaries = optuna.get_all_study_summaries(storage)
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study_id = summaries[0]._study_id
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study_name = summaries[0].study_name
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# Expect a title "to contain" a substring.
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expect(page).to_have_title(re.compile("Playwright"))
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page.goto(server_url)
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page.click(f"a[href='/dashboard/studies/{study_id}']")
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# create a locator
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get_started = page.get_by_role("link", name="Get started")
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element = page.query_selector(".MuiTypography-body1")
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assert element is not None
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# Expect an attribute "to be strictly equal" to the value.
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expect(get_started).to_have_attribute("href", "/docs/intro")
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title = element.text_content()
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assert title is not None
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assert study_name in title
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# Click the get started link.
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get_started.click()
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# Expects the URL to contain intro.
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expect(page).to_have_url(re.compile(".*intro"))
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def test_study_analytics(
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page: Page,
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storage: optuna.storages.InMemoryStorage,
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server_url: str,
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) -> None:
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summaries = optuna.get_all_study_summaries(storage)
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study_id = summaries[0]._study_id
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study_name = summaries[0].study_name
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url = f"{server_url}/studies/{study_id}"
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page.goto(url)
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page.click(f"a[href='/dashboard/studies/{study_id}/analytics']")
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element = page.query_selector(".MuiTypography-body1")
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assert element is not None
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title = element.text_content()
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assert title is not None
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assert study_name in title
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def test_trial_list(
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page: Page,
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storage: optuna.storages.InMemoryStorage,
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server_url: str,
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) -> None:
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summaries = optuna.get_all_study_summaries(storage)
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study_id = summaries[0]._study_id
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study_name = summaries[0].study_name
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url = f"{server_url}/studies/{study_id}"
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page.goto(url)
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page.click(f"a[href='/dashboard/studies/{study_id}/trials']")
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element = page.query_selector(".MuiTypography-body1")
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assert element is not None
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title = element.text_content()
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assert title is not None
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assert study_name in title
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def test_trial_table(
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page: Page,
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storage: optuna.storages.InMemoryStorage,
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server_url: str,
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) -> None:
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summaries = optuna.get_all_study_summaries(storage)
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study_id = summaries[0]._study_id
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study_name = summaries[0].study_name
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url = f"{server_url}/studies/{study_id}"
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page.goto(url)
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page.click(f"a[href='/dashboard/studies/{study_id}/trialTable']")
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element = page.query_selector(".MuiTypography-body1")
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assert element is not None
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title = element.text_content()
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assert title is not None
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assert study_name in title
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def test_trial_note(
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page: Page,
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storage: optuna.storages.InMemoryStorage,
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server_url: str,
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) -> None:
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summaries = optuna.get_all_study_summaries(storage)
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study_id = summaries[0]._study_id
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study_name = summaries[0].study_name
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url = f"{server_url}/studies/{study_id}"
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page.goto(url)
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page.click(f"a[href='/dashboard/studies/{study_id}/note']")
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element = page.query_selector(".MuiTypography-body1")
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assert element is not None
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title = element.text_content()
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assert title is not None
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assert study_name in title
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@@ -17,9 +17,12 @@ export const mergeUnionSearchSpace = (
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// CategoricalDistribution.choices will never be changed
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return
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}
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d.low = Math.min(d.low, s.distribution.low)
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d.high = Math.max(d.low, s.distribution.high)
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knownElements.set(s.name, d)
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const updated: Distribution = {
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...d,
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low: Math.min(d.low, s.distribution.low),
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high: Math.max(d.high, s.distribution.high),
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}
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knownElements.set(s.name, updated)
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})
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return Array.from(knownElements.keys())
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.sort((a, b) => (a > b ? 1 : a < b ? -1 : 0))
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Reference in New Issue
Block a user