numpy>=1.24
scipy<1.16,>=1.15
netCDF4>=1.6

[cuda11]
cupy-cuda11x<14,>=13.4

[fast]
numba<0.69,>=0.68

[ffi]
pypdf[crypto]<7,>=6

[gis]
pyshp<4,>=2.3
rasterio>=1.3
fiona<2,>=1.9

[plot]
matplotlib>=3.6

[test]
pytest>=8

[thermo]
CoolProp>=7

[visual]
plotly<7,>=6.0
scikit-image<1,>=0.23
