env-and-assets-bootstrap

To set up a conda environment for reproduction, this process translates top-level files like environment.yml or requirements.txt into a conservative bootstrap flow with clear activation steps. It generates a plan before any execution begins.

Conservative environment and asset bootstrap is a pre-run planning process that prepares conda-first environments and generates asset manifests. It ensures checkpoints, datasets, and caches are planned before executing documented experiments.

Yes, you can use pyproject.toml or setup.py to generate a virtualenv bootstrap plan. The process translates these top-level environment files into a structured flow for conservative environment setup and asset path planning.

The best way to plan paths is by generating an asset manifest with hints for checkpoints, datasets, and caches. This approach integrates policy references to enforce conservative sourcing and reporting before experiment execution.

No, you do not need a ready-to-run reproducibility setup. This process specifically applies to repositories lacking existing reproducibility configurations, requiring conda-first planning and asset preparation before runs.