0d387678b7
By default, clingo doesn't show any optimization criteria (maximized or minimized sums) if the set they aggregate is empty. Per the clingo mailing list, we can get around that by adding, e.g.: ``` #minimize{ 0@2 : #true }. ``` for the 2nd criterion. This forces clingo to print out the criterion but does not affect the optimization. This PR adds directives as above for all of our optimization criteria, as well as facts with descriptions of each criterion,like this: ``` opt_criterion(2, "number of non-default variants") ``` We use facts in `concretize.lp` rather than hard-coding these in `asp.py` so that the names can be maintained in the same place as the other optimization criteria. The now-displayed weights and the names are used to display optimization output like this: ```console (spackle):solver> spack solve --show opt zlib ==> Best of 0 answers. ==> Optimization Criteria: Priority Criterion Value 1 version weight 0 2 number of non-default variants (roots) 0 3 multi-valued variants + preferred providers for roots 0 4 number of non-default variants (non-roots) 0 5 number of non-default providers (non-roots) 0 6 count of non-root multi-valued variants 0 7 compiler matches + number of nodes 1 8 version badness 0 9 non-preferred compilers 0 10 target matches 0 11 non-preferred targets 0 zlib@1.2.11%apple-clang@12.0.0+optimize+pic+shared arch=darwin-catalina-skylake ``` Note that this is all hidden behind a `--show opt` option to `spack solve`. Optimization weights are no longer shown by default, but you can at least inspect them and more easily understand what is going on. - [x] always show optimization criteria in `clingo` output - [x] add `opt_criterion()` facts for all optimizationc criteria - [x] make display of opt criteria optional in `spack solve` - [x] rework how optimization criteria are displayed, and add a `--show opt` optiong to `spack solve` |
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.github | ||
bin | ||
etc/spack/defaults | ||
lib/spack | ||
share/spack | ||
var/spack | ||
.codecov.yml | ||
.coveragerc | ||
.dockerignore | ||
.flake8 | ||
.gitattributes | ||
.gitignore | ||
.mailmap | ||
.mypy.ini | ||
.readthedocs.yml | ||
CHANGELOG.md | ||
COPYRIGHT | ||
LICENSE-APACHE | ||
LICENSE-MIT | ||
NOTICE | ||
pytest.ini | ||
README.md |
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
@mention
us!
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.
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