def test_resume_without_cache_from_instance_with_param(self):
generator = Generator2()
want_to_load_object = hideout.resume_or_generate(
label="want-to-load-object",
func=generator.generate,
func_args={"baz": "uho"})
self.assertEqual({"foobar": "uho"}, want_to_load_object)
def test_resume_with_cache(self):
org_object = {"foobar": "baz"}
file_path = _generate_file_path_from_label("want-to-load-object")
freeze(org_object, file_path)
want_to_load_object = hideout.resume_or_generate(
label="want-to-load-object", func=generate)
self.assertEqual(org_object, want_to_load_object)
def test_resume_not_disabling_stage(self):
env.HIDEOUT_SKIP_STAGES = ["preliminary"]
org_object = {"foobar": "baz"}
file_path = _generate_file_path_from_label("want-to-load-object")
freeze(org_object, file_path)
want_to_load_object = hideout.resume_or_generate(
label="want-to-load-object", func=generate, stage="body")
self.assertEqual({"foobar": "baz"}, want_to_load_object)
def test_resume_with_disabling_cache(self):
env.HIDEOUT_ENABLE_CACHE = False # disabling cache
org_object = {"foobar": "baz"}
file_path = _generate_file_path_from_label("want-to-load-object")
freeze(org_object, file_path)
want_to_load_object = hideout.resume_or_generate(
label="want-to-load-object", func=generate)
self.assertEqual({"foobar": "bar"}, want_to_load_object)
def fit(self, search_parameters: List = SEARCH_PARAMETERS) -> float:
clf, self.model = hideout.resume_or_generate(
label="classifier",
func=self._fit,
func_args={"search_parameters": search_parameters})
print("best parameters : ", clf.best_params_)
print("best scores : ", clf.best_score_)
return clf.best_score_
def cmd():
result = hideout.resume_or_generate(
func=generate_large_object,
func_args={"times": 10}
)
print(result)
def test_resume_without_cache_from_instance(self):
generator = Generator()
want_to_load_object = hideout.resume_or_generate(
label="want-to-load-object", func=generator.generate)
self.assertEqual({"foobar": "bar"}, want_to_load_object)
def test_resume_and_save_to_not_exist_dir(self):
env.HIDEOUT_CACHE_DIR = tempfile.mkdtemp() + "/foobar"
want_to_load_object = hideout.resume_or_generate(
label="want-to-load-object", func=generate)
self.assertEqual({"foobar": "bar"}, want_to_load_object)
def __init__(self):
self.vec, self.feature_vectors = hideout.resume_or_generate(
label="vectorizer", func=self._vectorizer)
self.clf = None
self.model = None