Alan Brammer

Coming back to this, I tracked this down to most likely an incorrect GRIB file. `subdivisionsOfBasicAngle` from Section 3, template 0, is encoded as all 1s for a 16bit int...

This still holds true for 2.0.4 installed via Conda from the Conda-forge channel.

Numpy in google colab is a couple versions out of date which causes these issues. At the top of your notebook you can add a `!pip install --upgrade numpy==1.22.4 pyhdf`...

Just a quick note, the lack of clipping was present in 0.20.3 if a transform was applied. It's only clipped as expected if you relied on the semi-"broken" implementation and...

`libjpeg-turbo-devel==1.2.90-8` is installed as a dependency from `hdf` and `hdf-devel`. Adding the `libjpeg-turbo-offcial` repo and forcing a >=2x install doesn't resolve that dependency, and those 2 key libraries still want...