.gitignore

# Jupyter
.ipynb_checkpoints/
.virtual_documents/

# Python
__pycache__/
*.py[cod]
*.egg-info/
.python-version

# Editors / OS
.idea/
.vscode/
.DS_Store
Thumbs.db

# ── SAR notebooks: working data & generated outputs ───────────────────────────
# Large SAR inputs auto-download from public S3 on first run and are cached here; never
# commit them. Small bundled demo inputs (OLCI .nc, the speckle GRDH subset) are NOT listed
# and stay tracked.
resources/jupyter_notebooks/data/etna_coreg_stack.dim
resources/jupyter_notebooks/data/etna_coreg_stack.data/
resources/jupyter_notebooks/data/Santorini/
resources/jupyter_notebooks/data/S1A_IW_SLC__*.SAFE/
resources/jupyter_notebooks/data/S1A_IW_SLC__*.zip
resources/jupyter_notebooks/data/S1A_IW_SLC__*.dim
resources/jupyter_notebooks/data/S1A_IW_SLC__*.data/
resources/jupyter_notebooks/data/S1A_IW_GRDH_*.SAFE/
resources/jupyter_notebooks/data/S1A_IW_GRDH_*.zip
resources/jupyter_notebooks/data/S1A_IW_ETA__*.SAFE/
resources/jupyter_notebooks/data/S1A_IW_ETA__*.zip
resources/jupyter_notebooks/data/S2A_MSIL*.SAFE/
resources/jupyter_notebooks/data/S2A_MSIL*.zip
# optical-collocation AOI subsets (auto-download from S3, cached here)
resources/jupyter_notebooks/data/*delta_subset*

# Generated products: results/ and snaphu/ are regenerated by the notebooks (the shipped
# figures live embedded in the .ipynb files). Already-committed OLCI result .nc stay tracked.
resources/jupyter_notebooks/results/
resources/jupyter_notebooks/snaphu/

# graphs/ : the notebook GPF graphs (snap_nb_*, ds_insar_*) are committed as reference, like
# the existing OLCI graphs. Only the dev/validation scratch graphs are ignored.
resources/jupyter_notebooks/graphs/val_*
resources/jupyter_notebooks/graphs/subset_small.xml
resources/jupyter_notebooks/graphs/*.log

# Scratch dev helpers, nbconvert logs, notebook backups
resources/jupyter_notebooks/_*.sh
resources/jupyter_notebooks/_*.log
resources/jupyter_notebooks/*.ipynb.bak