conda-forge / lue-feedstock Goto Github PK

The LUE repository has moved from the PCRaster organization to the computationalgeography organization. Please update the url in the meta description of the Conda package. The new location is:

https://github.com/computationalgeography/lue.git

When using the LUE data model on clusters with a parallel filesystem, users will want LUE to be using the parallel HDF5 library instead of the regular one.

In general, when using LUE (data model and framework) on clusters, users will want LUE to be using different libraries than when using LUE on regular desktops. Maybe we should create a version of LUE for use on clusters (parallel HDF5, MPI) besides the regular one. At first, this cluster version will be using parallel HDF5, but later, once the build of the framework is enabled, more underlying libraries will be different from the regular LUE Conda package.

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

I do have some suggestions for making it better though...

For recipe:

    Recipes should usually depend on matplotlib-base as opposed to matplotlib so that runtime environments do not require large packages like qt.

Installed packages

Not relevant

Environment info

Not relevant

NMake does not support parallel builds. Use Ninja for example.

Will be release soon.

We don't want to spend time on supporting this platform anymore.

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

Since there is an HPX Conda package now, we don't need to build it as part of the LUE Conda package anymore. Remove all stuff related to building HPX from all recipe's files.

First wait until the HPX package has support for Apple Sillicon: conda-forge/hpx-feedstock#1

Installed packages

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Environment info

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