| # Core (needed for the data/scoring/Indonesia stack -- climatology.py, |
| # indonesia_zones.py, backtest_indonesia.py, era5_data_pipeline.py, |
| # zone_observation.py, crop_risk_scorer.py, hierarchical_search.py) |
| numpy>=1.24 |
|
|
| # RL training stack (train_curriculum.py, train_kaggle.py, |
| # weather_forecast_env.py, gru_weather_policy.py) |
| torch>=2.0 |
| gymnasium>=0.29 |
| stable-baselines3>=2.0 |
| sb3-contrib>=2.0 |
|
|
| # Hyperparameter sweeps (sweep_reward_shaping.py) |
| optuna>=3.5 |
|
|
| # Edge export (mnn_export.py) -- MNN itself has no pip package; build/install |
| # per https://github.com/alibaba/MNN, this only covers the ONNX/export side. |
| onnx>=1.15 |
|
|
| # Optional -- only needed if you actually connect to a broker |
| # (node_transport.py's MQTTTransport falls back to LocalTransport without it) |
| paho-mqtt>=1.6 |
|
|
| # Testing |
| pytest>=7.0 |
