# Part 4 of "AI habitat classification with Python": shared .venv-habitat plus PyTorch (CPU) and LightGBM.
# Tested on Python 3.12.0 (Windows 11) on 21 October 2026, CPU only (8 threads). Python 3.10+ is required.
# Install the CPU build of PyTorch first (on Linux the default wheels bundle CUDA and weigh several GB):
#   pip install torch==2.14.1 --index-url https://download.pytorch.org/whl/cpu
# then:  pip install -r requirements.txt
# The per-date sample table comes from the shared module:
#   python ..\ai-habitat-classification-common\prepare_data.py --timeseries
# The wall-to-wall step writes a 5.6 GB memory-mapped stack to data\ (needs disk space, not RAM).
-r ../ai-habitat-classification-common/requirements.txt
torch==2.14.1
lightgbm==4.7.0