Reproducible Environment Setup
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Help me make my project reproducible. Language and main libraries: [LANGUAGE_AND_LIBRARIES]. Operating systems used: [OPERATING_SYSTEMS]. How the project is run: [HOW_RUN]. Who else needs to run it: [COLLABORATORS]. Provide: 1. A comparison of environment tools (venv with pip, conda, poetry, uv, containers) with a recommendation and the trade-offs. 2. The files to commit: a lock file with exact versions, a README with commands, a Makefile or task script, and a .gitignore (data, secrets, caches). 3. Exact commands to create the environment from scratch and to export it. 4. Randomness: set seeds for Python, NumPy, and the ML framework; explain that GPU operations may stay nondeterministic and how to report it. 5. Data versioning options (checksums, DVC, dated snapshots) and a rule for raw data being read-only. 6. A "fresh machine" test: clone, create environment, run, and compare outputs to stored checksums or tolerances. 7. A table of what can still break reproducibility (system libraries, time zones, locale, file ordering) and a check for each. Write the README template.
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