6753605807
* Adding a py4j variant that requires Java via spack to avoid situations where a system doesn't have Java and py4j expects it
* Adding new versions of py-pyspark
* Adding a new variant to require java (via py4j) and clean up dependency handling
* Adding myself as a maintainer for py-pyspark and py-py4j
* Fix overlooked version bump in py4j
* Version bump to meet py-spark expectations
* Version bump to add latest compatibile version with pyspark
* Matching py-grpcio bump
* Adding variants and dependents for pyspark
* Adding runtime deps
* Changing default java requirement. I'm not sure this is the right call
* Changing py4j with java dependency handling
* Fix style
* Update package.py fix unnecessary f-strinh
* Make +java the default for both
* Fix nested deps
* Revert styles after default change
* Added new versions and GCC 14 compatbility conflicts
* Added new versions and compatibility conflicts for gcc 14
* Added new versions paired to arrow (for gcc14 compat)
* Update py-protobuf compiler conflict
* Update depends to match
See https://github.com/grpc/grpc/blob/master/src/python/grpcio_status/setup.py
* Updating dependencies and conflicts for py-googleapis-common-protos. Added new version to avoid future issues
* Remove upper bound version on py-protobuf and add default_args
* Adding new versions and updating dependencies back to versions 1.35.0
* Updating oldest numpy deps
* Fixing merge
* bit more cleaniness for var/spack/repos/builtin/packages/py-googleapis-common-protos/package.py
* Adding latest matching version of py-grpcio and py-grpcio-status
* Update package.py
https://github.com/spack/spack/pull/44263#discussion_r1612317943
* Update dependencies
* Adding additional versions for dependent packages. Deprecated two versions: 1.16 is old, built for python ~3.6, and does not build for 3.8. 1.52.0 was removed from pypi
* Revert py-grpcio-tools changes. Will include in separate PR
* Adding patches and constraints to get 1.48 to build as it's a dependency that is called out for some other packages
* Updating to account for yanked packages for dependencies
* Fix style
* Update sha256 for py-grpcio v0.16.0 to reflect change
---------
Co-authored-by: Tamara Dahlgren <35777542+tldahlgren@users.noreply.github.com>
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| var/spack | ||
| .codecov.yml | ||
| .dockerignore | ||
| .flake8 | ||
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| .mailmap | ||
| .readthedocs.yml | ||
| CHANGELOG.md | ||
| CITATION.cff | ||
| COPYRIGHT | ||
| LICENSE-APACHE | ||
| LICENSE-MIT | ||
| NOTICE | ||
| pyproject.toml | ||
| pytest.ini | ||
| README.md | ||
| SECURITY.md | ||
Spack is a multi-platform package manager that builds and installs multiple versions and configurations of software. It works on Linux, macOS, Windows, 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 -c feature.manyFiles=true 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.
For a cheat sheet on Spack syntax, run spack help --spec.
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, visit slack.spack.io.
- Matrix space: #spack-space:matrix.org: bridged to Slack.
- Github Discussions: for Q&A and discussions. Note the pinned discussions for announcements.
- X: @spackpm. Be sure to
@mentionus! - Mailing list: groups.google.com/d/forum/spack: only for announcements. Please use other venues for discussions.
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 our CI process. To run these tests locally, and for helpful tips on git, see our Contribution Guide.
Spack's develop branch has the latest contributions. Pull requests
should target develop, and users who want the latest package versions,
features, etc. can use develop.
Releases
For multi-user site deployments or other use cases that need very stable software installations, we recommend using Spack's stable releases.
Each Spack release series also has a corresponding branch, e.g.
releases/v0.14 has 0.14.x versions of Spack, and releases/v0.13 has
0.13.x versions. We backport important bug fixes to these branches but
we do not advance the package versions or make other changes that would
change the way Spack concretizes dependencies within a release branch.
So, you can base your Spack deployment on a release branch and git pull
to get fixes, without the package churn that comes with develop.
The latest release is always available with the releases/latest tag.
See the docs on releases for more details.
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.
On GitHub, you can copy this citation in APA or BibTeX format via the "Cite this repository"
button. Or, see the comments in CITATION.cff for the raw BibTeX.
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-811652