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lue-feedstock's Introduction

About lue-feedstock

Feedstock license: BSD-3-Clause

Home: https://lue.computationalgeography.org/

Package license: MIT

Summary: LUE scientific database and environmental modelling framework.

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

Documentation: https://lue.computationalgeography.org/doc/

LUE is software supporting the representation and numerical simulation of geographical systems. Using LUE, model developers can develop models using a syntax that looks very similar to map algebra, in either Python or C++. Given such a model, modellers can simulate real-world geographical systems with a large extent and at high resolutions. LUE models can be executed on small laptops and on large cluster partitions.

LUE is the result of multiple research projects performed by the Computational Geography group at Utrecht University in the Netherlands. One of the focus areas of this group is to improve on the concepts and design of numerical simulation frameworks for geographical systems, with respect to their functionality and performance.

LUE supports both agent-based and field-based modelling of geographical systems, with the support for field-based modelling currently being the most mature.

Current build status

Azure
VariantStatus
linux_64_numpy1.22python3.10.____cpython variant
linux_64_numpy1.22python3.8.____cpython variant
linux_64_numpy1.22python3.9.____cpython variant
linux_64_numpy1.23python3.11.____cpython variant
osx_64_numpy1.22python3.10.____cpython variant
osx_64_numpy1.22python3.8.____cpython variant
osx_64_numpy1.22python3.9.____cpython variant
osx_64_numpy1.23python3.11.____cpython variant
osx_arm64_numpy1.22python3.10.____cpython variant
osx_arm64_numpy1.22python3.8.____cpython variant
osx_arm64_numpy1.22python3.9.____cpython variant
osx_arm64_numpy1.23python3.11.____cpython variant
win_64_numpy1.22python3.10.____cpython variant
win_64_numpy1.22python3.8.____cpython variant
win_64_numpy1.22python3.9.____cpython variant
win_64_numpy1.23python3.11.____cpython variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing lue

Installing lue from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, lue can be installed with conda:

conda install lue

or with mamba:

mamba install lue

It is possible to list all of the versions of lue available on your platform with conda:

conda search lue --channel conda-forge

or with mamba:

mamba search lue --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search lue --channel conda-forge

# List packages depending on `lue`:
mamba repoquery whoneeds lue --channel conda-forge

# List dependencies of `lue`:
mamba repoquery depends lue --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating lue-feedstock

If you would like to improve the lue recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/lue-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

lue-feedstock's People

Contributors

cf-blacksmithy avatar conda-forge-admin avatar conda-forge-curator[bot] avatar kordejong avatar ocefpaf avatar oliverschmitz avatar regro-cf-autotick-bot avatar

Watchers

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lue-feedstock's Issues

Add a version of the package supporting parallel I/O

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.

Handle conda-forge linting suggestion related to matplotlib

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

Make use of new HPX Conda package instead of building it ourselves

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

-

Environment info

-

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