WUR-AI / WUR-AI/diffWOFOST

run a profiler on current pcse engine

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technical
Dominant language
Python
Stars
25
Forks
6
Avg merge
2d 23h
Merged PRs (30d)
1

Description

let's run a profiler on the current pcse engine and analyse the results.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the current PCSE engine entry point and determine how the project runs it. Profile a representative run, then analyse and document the resulting performance hotspots; the issue does not specify a workload, profiler, output format, or acceptance criteria.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
performance
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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