Lecture 4 demo: the attractor project
=====================================

These files are a flat copy of the scripts and requirement files of the
repository https://github.com/borisbolliet/attractor, for reading. To run the
demo, clone the repository, which also holds the ten chemostat runs in data/
and the configuration template .env.example:

    git clone https://github.com/borisbolliet/attractor.git ~/GitHub/attractor
    cd ~/GitHub/attractor
    source setup_env.sh        # Python 3.12 venv, pinned packages, .env, Jupyter kernel
    python analyse.py          # table of periods, results/periods.csv, results/periods.png

Files
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analyse.py             period of every run from the peaks of the algae density
period.py              the same computation for one run: python period.py data/C9.csv
check_env.py           interpreter, NumPy version and location, project variables
ask_llm.py             sends results/periods.csv to the endpoint in LLM_BASE_URL
setup_env.sh           one-step setup, to be sourced
requirements.txt       specification: the four imported packages and ipykernel
requirements-lock.txt  pip freeze snapshot: 52 packages, Python 3.12, macOS arm64