65d8b633ad
- report/plots.py: current/field/velocity plots per stage, Agg backend so it works headless in Docker/on a server - report/bom.py: itemized bill of materials with real component prices - report/summary.py: honest text/JSON summary including a "model limitations" section and a saturation warning flag per stage - report/animate.py: the visualization the user explicitly asked for -- a GIF of the slug flying through the tube with each coil glowing by its instantaneous current, reconstructing the pre-trigger ballistic flight segment (not just the stored discharge phase) for a continuous timeline - cli.py: sweep/evolve/simulate/report subcommands now actually call the underlying modules instead of being stubs - Extended StageResult/StageOutcome with the coil/entry-state fields the report layer needed (mu_eff, turns, coil_length, entry_x/v) rather than recomputing them by other means Verified end-to-end through `docker compose run`, not just pytest: a real sweep (30 runs, 11 feasible) followed by `report --animate` produced a correct GIF/plots/BOM/summary for the actual best result found (32.8% efficiency, 982 RUB) -- not a synthetic fixture. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
gausse
Симулятор и оптимизатор многоступенчатого электромагнитного ускорителя (coilgun) на реальных, доступных в рознице компонентах.
Полный план и чек-лист этапов — в PLAN.md.
Установка (Docker — основной способ)
docker compose build
docker compose run --rm --entrypoint pytest gausse -q # тесты
docker compose run --rm gausse sweep --n 1000 # CLI (после реализации Этапа 6)
Результаты (SQLite, отчёты) должны сохраняться в ./results, примонтированный
в контейнер как /app/results (см. docker-compose.yml), чтобы переживать
пересборку образа.
Установка без Docker (локальная разработка)
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest