[MNT] Refactor `run_flow_on_task`-function

[SimonBlanke]

The run_flow_on_task is ~160 lines of code with high complexity: https://github.com/openml/openml-python/blob/main/openml/runs/functions.py#L178

I would suggest to refactor it to reduce its complexity. We can keep the this main-function as the orchestrator and separate the responsibilities into:

• input validation
• parallel processing
• aggregation of predictions and evaluations
• creating the run from the res

[dipak0000812]

Hi @SimonBlanke, I’d like to work on refactoring run_flow_on_task by splitting it into input validation, parallel execution, aggregation, and run creation as suggested. I’ll keep the public API unchanged. Let me know if that works.

[Omswastik-11]

Hi @dipak0000812 !! Thanks for your interest currently I am working on this issue . you can pick any other issue . BTW Recent issues are for ESoC mentees .