I tried specifying helpers functions but it still gives the same error. If I define a component through the following code:
` from typing import Optional
from clearml.automation.controller import PipelineDecorator

@PipelineDecorator.component(...)
def step_data_loading(path: str, target_dir: Optional[str] = None):
pass Then in the automatically created script I find the following code: from clearml.automation.controller import PipelineDecorator

def step_data_loading(path: str, target_dir: Optional[str] = None):
pass

if name == 'main':
task = Task.init()
kwargs = {'path': None, 'target_dir': None}
task.connect(kwargs, name='kwargs')
function_input_artifacts = {}
params = task.get_parameters() or dict()
for k, v in params.items():
if not v or not k.startswith('kwargs_artifacts/'):
continue
k = k.replace('kwargs_artifacts/', '', 1)
task_id, artifact_name = v.split('.', 1)
kwargs[k] = Task.get_task(task_id=task_id).artifacts[artifact_name].get()
results = step_data_loading(**kwargs)
result_names = []
if result_names:
if not isinstance(results, (tuple, list)) or (len(result_names) == 1 and len(results) != 1):
results = [results]
for name, artifact in zip(result_names, results):
task.upload_artifact(name=name, artifact_object=artifact) `
Which shows that the type hints are retained