wifi-densepose/benchmarks/wiflow-std/.gitignore

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# Upstream clone (WiFlow-STD, DY2434) -- never commit third-party code/weights
upstream/
# Local python env
.venv/
# Downloaded data / artifacts
data/
downloads/
*.pth
*.pt
*.npy
*.npz
*.zip
*.mat
*.safetensors
results/parity_fixture.json
__pycache__/
*.onnx
# Committed ground truth: corruption masks for the pristine Kaggle download.
# remote/clean_v2.py zeroes the corrupted source windows IN PLACE, so these
# masks CANNOT be regenerated from a cleaned copy (generate_corruption_masks.py
# documents the criteria and reproduces them only from a fresh download).
!results/nan_windows_mask.npy
!results/big_windows_mask.npy