Add RNG seeds for parallel runs?
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
Parallel runs should use https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.spawn.html to start with a single seed, then create seeds for child simulations
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files or tests. Read NumPy's Generator.spawn documentation first, then locate the entry point for parallel runs and trace how child simulations receive random state. Done means parallel runs begin from one seed and derive seeds for child simulations, with existing tests still passing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100