conda-forge / openmc-feedstock

A conda-smithy repository for openmc.

About openmc-feedstock

Feedstock license: BSD-3-Clause

Home: https://openmc.org

Package license: MIT

Summary: OpenMC Monte Carlo Code

Development: https://github.com/openmc-dev/openmc

Documentation: https://docs.openmc.org

OpenMC is a community-developed Monte Carlo neutron and photon transport simulation code. It is capable of performing fixed source, k-eigenvalue, and subcritical multiplication calculations on models built using either a constructive solid geometry or CAD representation. OpenMC supports both continuous-energy and multigroup transport. The continuous-energy particle interaction data is based on a native HDF5 format that can be generated from ACE files produced by NJOY. Parallelism is enabled via a hybrid MPI and OpenMP programming model.

Current build status

Azure

Variant Status linux_64_dagmcdagmcmpimpichnumpy1.22python3.10.____cpython linux_64_dagmcdagmcmpimpichnumpy1.22python3.8.____cpython linux_64_dagmcdagmcmpimpichnumpy1.22python3.9.____cpython linux_64_dagmcdagmcmpimpichnumpy1.23python3.11.____cpython linux_64_dagmcdagmcmpimpichnumpy1.26python3.12.____cpython linux_64_dagmcdagmcmpinompinumpy1.22python3.10.____cpython linux_64_dagmcdagmcmpinompinumpy1.22python3.8.____cpython linux_64_dagmcdagmcmpinompinumpy1.22python3.9.____cpython linux_64_dagmcdagmcmpinompinumpy1.23python3.11.____cpython linux_64_dagmcdagmcmpinompinumpy1.26python3.12.____cpython linux_64_dagmcdagmcmpiopenmpinumpy1.22python3.10.____cpython linux_64_dagmcdagmcmpiopenmpinumpy1.22python3.8.____cpython linux_64_dagmcdagmcmpiopenmpinumpy1.22python3.9.____cpython linux_64_dagmcdagmcmpiopenmpinumpy1.23python3.11.____cpython linux_64_dagmcdagmcmpiopenmpinumpy1.26python3.12.____cpython linux_64_dagmcnodagmcmpimpichnumpy1.22python3.10.____cpython linux_64_dagmcnodagmcmpimpichnumpy1.22python3.8.____cpython linux_64_dagmcnodagmcmpimpichnumpy1.22python3.9.____cpython linux_64_dagmcnodagmcmpimpichnumpy1.23python3.11.____cpython linux_64_dagmcnodagmcmpimpichnumpy1.26python3.12.____cpython linux_64_dagmcnodagmcmpinompinumpy1.22python3.10.____cpython linux_64_dagmcnodagmcmpinompinumpy1.22python3.8.____cpython linux_64_dagmcnodagmcmpinompinumpy1.22python3.9.____cpython linux_64_dagmcnodagmcmpinompinumpy1.23python3.11.____cpython linux_64_dagmcnodagmcmpinompinumpy1.26python3.12.____cpython linux_64_dagmcnodagmcmpiopenmpinumpy1.22python3.10.____cpython linux_64_dagmcnodagmcmpiopenmpinumpy1.22python3.8.____cpython linux_64_dagmcnodagmcmpiopenmpinumpy1.22python3.9.____cpython linux_64_dagmcnodagmcmpiopenmpinumpy1.23python3.11.____cpython linux_64_dagmcnodagmcmpiopenmpinumpy1.26python3.12.____cpython osx_64_dagmcdagmcmpimpichnumpy1.22python3.10.____cpython osx_64_dagmcdagmcmpimpichnumpy1.22python3.8.____cpython osx_64_dagmcdagmcmpimpichnumpy1.22python3.9.____cpython osx_64_dagmcdagmcmpimpichnumpy1.23python3.11.____cpython osx_64_dagmcdagmcmpimpichnumpy1.26python3.12.____cpython osx_64_dagmcdagmcmpinompinumpy1.22python3.10.____cpython osx_64_dagmcdagmcmpinompinumpy1.22python3.8.____cpython osx_64_dagmcdagmcmpinompinumpy1.22python3.9.____cpython osx_64_dagmcdagmcmpinompinumpy1.23python3.11.____cpython osx_64_dagmcdagmcmpinompinumpy1.26python3.12.____cpython osx_64_dagmcdagmcmpiopenmpinumpy1.22python3.10.____cpython osx_64_dagmcdagmcmpiopenmpinumpy1.22python3.8.____cpython osx_64_dagmcdagmcmpiopenmpinumpy1.22python3.9.____cpython osx_64_dagmcdagmcmpiopenmpinumpy1.23python3.11.____cpython osx_64_dagmcdagmcmpiopenmpinumpy1.26python3.12.____cpython osx_64_dagmcnodagmcmpimpichnumpy1.22python3.10.____cpython osx_64_dagmcnodagmcmpimpichnumpy1.22python3.8.____cpython osx_64_dagmcnodagmcmpimpichnumpy1.22python3.9.____cpython osx_64_dagmcnodagmcmpimpichnumpy1.23python3.11.____cpython osx_64_dagmcnodagmcmpimpichnumpy1.26python3.12.____cpython osx_64_dagmcnodagmcmpinompinumpy1.22python3.10.____cpython osx_64_dagmcnodagmcmpinompinumpy1.22python3.8.____cpython osx_64_dagmcnodagmcmpinompinumpy1.22python3.9.____cpython osx_64_dagmcnodagmcmpinompinumpy1.23python3.11.____cpython osx_64_dagmcnodagmcmpinompinumpy1.26python3.12.____cpython osx_64_dagmcnodagmcmpiopenmpinumpy1.22python3.10.____cpython osx_64_dagmcnodagmcmpiopenmpinumpy1.22python3.8.____cpython osx_64_dagmcnodagmcmpiopenmpinumpy1.22python3.9.____cpython osx_64_dagmcnodagmcmpiopenmpinumpy1.23python3.11.____cpython osx_64_dagmcnodagmcmpiopenmpinumpy1.26python3.12.____cpython

Current release info

Name	Downloads	Version	Platforms

Installing openmc

Installing openmc 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, openmc can be installed with conda:

conda install openmc

or with mamba:

mamba install openmc

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

conda search openmc --channel conda-forge

or with mamba:

mamba search openmc --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

About conda-forge

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.org 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 openmc-feedstock

If you would like to improve the openmc 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/openmc-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

• @kkiesling
• @paulromano
• @scopatz
• @shimwell

openmc-feedstock's Issues

Adding DAGMC to the openmc conda package.

It would be great to add DAGMC to this conda package.

I can see a couple of potential way to do it.

option 1 add DAGMC from a specific commit and compile it alongside openmc. It should be possible to get this working at the moment and I think something like this branch could be the way to go https://github.com/Shimwell/openmc-feedstock/tree/adding_dagmc_compile

option 2 add DAGMC as a conda package. Perhaps a nicer solution but we can't currently compile openmc when using dagmc installed via conda (open issue svalinn/DAGMC#739 ). However, I've also drafted up a branch showing what this could look like https://github.com/Shimwell/openmc-feedstock/tree/adding_dagmc_conda

Add MPI variants

Right now, the OpenMC package is not built with MPI support. We should add MPI variants (OpenMPI, MPICH) to ease downstream usage of OpenMC in cluster environments.

Python libs on Current build is broken

All packages will install python libs into the Python v3.6 directory, regardless of what version of Python the user is using. Think this is because Python is not a build dep.

Updated compile argument name for building with dagmc

Comment:

Just noting that with the next release we will need to change the CONFIGURE_ARGS in build.sh from

-Ddagmc to -OPENMC_USE_DAGMC

Fixing OS X compatibility

Please re-render and bump the build number. This is needed to fix an issue where Travis CI bumped us from OS X version 10.9 to 10.11.

xref: conda-forge/conda-forge.github.io#249

Adding libmesh as option

Comment:

OpenMC compile allows libmesh to be added, it might be useful if the conda package also allowed libmesh to be included.

I notice there is a mouse libmesh conda package that might be useful if we want to include libmesh

https://github.com/idaholab/conda-moose/tree/devel/recipes/moose-libmesh/recipe

Updated package not visible on anaconda.org

• I read the conda-forge documentation and could not find the solution for my problem there.

It appears that the recently merged #42 didn't result in a new release to anaconda.org/conda-forge/openmc for the openmc conda package

I'm not sure why merging #42 didn't result in a new release but I noticed a similar issue here, should we also delete the conda_build_config.yaml file (which I think we need to specify with and without dagmc options)

Perhaps @conda-forge/help-python have seen this happen before and can advise?

Users running into libgfortran issue

As discussed here, users of the OpenMC conda installation have been running into an internal compiler error that seems to be caused by this issue. Perhaps rebuilding will solve the issue?

@conda-forge-admin, please rerender

Re-render needed

@conda-forge-admin, please re-render.