Hi, guys! Encountered strange behavior. My task has been completed( de facto ( I can clearly see that code inside the task has been executed)), but the next step in the pipeline didn't start+ the task is still in the running process(de jure) . I have a suggestion that smth happens during this code execution

It’s clearml code:

result_names = ['preprocess_data_id']
if result_names:
if not isinstance(results, (tuple, list)) or len(result_names) == 1:
results = [results]
parameters = dict()
parameters_types = dict()
for name, artifact in zip(result_names, results):
if type(artifact) in (float, int, bool, str):
parameters[return_section + '/' + name] = artifact
parameters_types[return_section + '/' + name] = get_basic_type(artifact)
else:
task.upload_artifact(
name=name,
artifact_object=artifact,
extension_name='.pkl' if isinstance(artifact, dict) else None,
serialization_function=None
)
if parameters:
task._set_parameters(parameters, __parameters_types=parameters_types, __update=True)

Do you have any ideas whats going on ?)