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Add black settings

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This commit is contained in:
c-bata
2022-06-08 16:00:21 +09:00
parent 552fa31cf6
commit 48c30d5955
11 changed files with 48 additions and 75 deletions
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visual_regression_test.py
+10 -29
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@@ -10,41 +10,28 @@ from wsgiref.simple_server import make_server
import optuna
from optuna.version import __version__ as optuna_ver
from optuna_dashboard import wsgi
from packaging import version
from pyppeteer import launch
from pyppeteer.page import Page
from optuna_dashboard import wsgi
parser = argparse.ArgumentParser()
parser.add_argument(
"--port", help="port number (default: %(default)s)", type=int, default=8081
)
parser.add_argument(
"--host", help="hostname (default: %(default)s)", default="127.0.0.1"
)
parser.add_argument("--port", help="port number (default: %(default)s)", type=int, default=8081)
parser.add_argument("--host", help="hostname (default: %(default)s)", default="127.0.0.1")
parser.add_argument(
"--sleep",
help="sleep seconds on each page open (default: %(default)s)",
type=int,
default=5,
)
parser.add_argument(
"--output-dir", help="output directory (default: %(default)s)", default="tmp"
)
parser.add_argument(
"--width", help="window width (default: %(default)s)", type=int, default=1000
)
parser.add_argument("--output-dir", help="output directory (default: %(default)s)", default="tmp")
parser.add_argument("--width", help="window width (default: %(default)s)", type=int, default=1000)
parser.add_argument(
"--height", help="window height (default: %(default)s)", type=int, default=3000
)
parser.add_argument(
"--storage", help="storage url (default: %(default)s)", default=None
)
parser.add_argument(
"--skip-screenshot", help="skip to take screenshot", action="store_true"
)
parser.add_argument("--storage", help="storage url (default: %(default)s)", default=None)
parser.add_argument("--skip-screenshot", help="skip to take screenshot", action="store_true")
args = parser.parse_args()
@@ -62,9 +49,7 @@ def create_dummy_storage() -> optuna.storages.InMemoryStorage:
study.optimize(objective_single, n_trials=50)
# Single-objective study with 1 parameter
study = optuna.create_study(
study_name="single-1-param", storage=storage, direction="maximize"
)
study = optuna.create_study(study_name="single-1-param", storage=storage, direction="maximize")
def objective_single_with_1param(trial: optuna.Trial) -> float:
x1 = trial.suggest_float("x1", 0, 10)
@@ -73,9 +58,7 @@ def create_dummy_storage() -> optuna.storages.InMemoryStorage:
study.optimize(objective_single_with_1param, n_trials=50)
# Single-objective study with dynamic search space
study = optuna.create_study(
study_name="single-dynamic", storage=storage, direction="maximize"
)
study = optuna.create_study(study_name="single-dynamic", storage=storage, direction="maximize")
def objective_single_dynamic(trial: optuna.Trial) -> float:
category = trial.suggest_categorical("category", ["foo", "bar"])
@@ -139,9 +122,7 @@ def create_dummy_storage() -> optuna.storages.InMemoryStorage:
study.optimize(objective_multi_dynamic, n_trials=50)
# Pruning with no intermediate values
study = optuna.create_study(
study_name="single-pruned-without-report", storage=storage
)
study = optuna.create_study(study_name="single-pruned-without-report", storage=storage)
def objective_prune_without_report(trial: optuna.Trial) -> float:
x = trial.suggest_float("x", -15, 30)