6e49f5f0e5
* NETCDF: Remove maxdims maxvars variant I'm not sure of the correct protocol to do this, so decided to make a stab and hopefully it works or I'm told the correct way... The `maxdims` and `maxvars` variants for the NetCDF package were, to the best of my knowledge, only ever used for the Exodus library in the SEACAS package. In versions of NetCDF prior to 4.4.0, Exodus required that the `NC_MAX_DIMS` and `NC_MAX_VARS` be increased over the default values. This requirement was removed in 4.4.0 and later. I do not know of any way to make a variant depend on the version and since the `maxdims` and `maxvars` variants are integer values and not boolean, then every build of NetCDF will have these variants. Typically `maxdims=1024 maxvars=8192` and the build will patch the `netcdf.h` include file for every build even though it is (almost) never needed. The SEACAS package has a NetCDF version requirement of >4.6.2, so it no longer specifies the `maxdims` or `maxvars` variant and I could find no other package in spack that uses this variant either, so removal should not break anything *in* spack. However, there is no guarantee that some other external package doesn't use the variant, so I'm not sure of the correct way to remove the variant. For this PR, I simply removed the variants. If there is a way to specify use of the variant tied to a specific version, I couldn't find it anywhere... * Address review comment Removed `is_integral` and `import numbers` since `is_integral` was only place it was used. * Add blank line for flake8
Spack
Spack is a multi-platform package manager that builds and installs multiple versions and configurations of software. It works on Linux, macOS, and many supercomputers. Spack is non-destructive: installing a new version of a package does not break existing installations, so many configurations of the same package can coexist.
Spack offers a simple "spec" syntax that allows users to specify versions and configuration options. Package files are written in pure Python, and specs allow package authors to write a single script for many different builds of the same package. With Spack, you can build your software all the ways you want to.
See the Feature Overview for examples and highlights.
To install spack and your first package, make sure you have Python. Then:
$ git clone https://github.com/spack/spack.git
$ cd spack/bin
$ ./spack install zlib
Documentation
Full documentation is available, or
run spack help or spack help --all.
Tutorial
We maintain a hands-on tutorial. It covers basic to advanced usage, packaging, developer features, and large HPC deployments. You can do all of the exercises on your own laptop using a Docker container.
Feel free to use these materials to teach users at your organization about Spack.
Community
Spack is an open source project. Questions, discussion, and contributions are welcome. Contributions can be anything from new packages to bugfixes, documentation, or even new core features.
Resources:
- Slack workspace: spackpm.slack.com. To get an invitation, click here.
- Mailing list: groups.google.com/d/forum/spack
- Twitter: @spackpm. Be sure to
@mentionus!
Contributing
Contributing to Spack is relatively easy. Just send us a
pull request.
When you send your request, make develop the destination branch on the
Spack repository.
Your PR must pass Spack's unit tests and documentation tests, and must be PEP 8 compliant. We enforce these guidelines with Travis CI. To run these tests locally, and for helpful tips on git, see our Contribution Guide.
Spack uses a rough approximation of the
Git Flow
branching model. The develop branch contains the latest
contributions, and master is always tagged and points to the latest
stable release.
Code of Conduct
Please note that Spack has a Code of Conduct. By participating in the Spack community, you agree to abide by its rules.
Authors
Many thanks go to Spack's contributors.
Spack was created by Todd Gamblin, tgamblin@llnl.gov.
Citing Spack
If you are referencing Spack in a publication, please cite the following paper:
- Todd Gamblin, Matthew P. LeGendre, Michael R. Collette, Gregory L. Lee, Adam Moody, Bronis R. de Supinski, and W. Scott Futral. The Spack Package Manager: Bringing Order to HPC Software Chaos. In Supercomputing 2015 (SC’15), Austin, Texas, November 15-20 2015. LLNL-CONF-669890.
License
Spack is distributed under the terms of both the MIT license and the Apache License (Version 2.0). Users may choose either license, at their option.
All new contributions must be made under both the MIT and Apache-2.0 licenses.
See LICENSE-MIT, LICENSE-APACHE, COPYRIGHT, and NOTICE for details.
SPDX-License-Identifier: (Apache-2.0 OR MIT)
LLNL-CODE-647188