Some packages can't be redistributed in source or binary form. We need an explicit way to say that in a package.
This adds a `redistribute()` directive so that package authors can write, e.g.:
```python
redistribute(source=False, binary=False)
```
You can also do this conditionally with `when=`, as with other directives, e.g.:
```python
# 12.0 and higher are proprietary
redistribute(source=False, binary=False, when="@12.0:")
# can't redistribute when we depend on some proprietary dependency
redistribute(source=False, binary=False, when="^proprietary-dependency")
```
To prevent Spack from adding either their sources or binaries to public mirrors and build caches. You can still unconditionally add things *if* you run either:
* `spack mirror create --private`
* `spack buildcache push --private`
But the default behavior for build caches is not to include non-redistributable packages in either mirrors or build caches. We have previously done this manually for our public buildcache, but with this we can start maintaining redistributability directly in packages.
Caveats: currently the default for `redistribute()` is `True` for both `source` and `binary`, and you can only set either of them to `False` via this directive.
- [x] add `redistribute()` directive
- [x] add `redistribute_source` and `redistribute_binary` class methods to `PackageBase`
- [x] add `--private` option to `spack mirror`
- [x] add `--private` option to `spack buildcache push`
- [x] test exclusion of packages from source mirror (both as a root and as a dependency)
- [x] test exclusion of packages from binary mirror (both as a root and as a dependency)
This adds some improvements to `spack find` output when in environments based
around some thoughts about what users want to know when they're in an env.
If you're working in an enviroment, you mostly care about:
* What are the roots
* Which ones are installed / not installed
* What's been added that still needs to be concretized
So, this PR adds a couple tweaks to display that information more clearly:
- [x] We now display install status next to every root. You can easily see
which are installed and which aren't.
- [x] When you run `spack find -l` in an env, the roots now show their concrete
hash (if they've been concretized). They previously would show `-------`
(b/c the root spec itself is abstract), but showing the concretized root's
hash is a lot more useful.
- [x] Newly added/unconcretized specs still show `-------`, which now makes more
sense, b/c they are not concretized.
- [x] There is a new option, `-r` / `--only-roots` to *only* show env roots if
you don't want to look at all the installed specs.
- [x] Roots in the installed spec list are now highlighted as bold. This is
actually an old feature from the first env implementation , but various
refactors had disabled it inadvertently.
This commit adds a property `autopush` to mirrors. When true, every source build is immediately followed by a push to the build cache. This is useful in ephemeral environments such as CI / containers.
To enable autopush on existing build caches, use `spack mirror set --autopush <name>`. The same flag can be used in `spack mirror add`.
* ParaView: Update version 5.12.0
Add 5.12.0 release
Update default to 5.12.0
* Add patch for building ParaView 5.12 with kits
* Drop VTKm from neoverse
Users requested an option to filter between local/upstream results in `spack find` output.
```
# default behavior, same as without --install-tree argument
$ spack find --install-tree all
# show only local results
$ spack find --install-tree local
# show results from all upstreams
$ spack find --install-tree upstream
# show results from a particular upstream or the local install_tree
$ spack find --install-tree /path/to/install/tree/root
```
---------
Co-authored-by: becker33 <becker33@users.noreply.github.com>
* buildcache sync: manifest-glob with arbitrary destination
The current implementation of the --manifest-glob is a bit restrictive
requiring the destination to be known by the generation stage of CI.
This allows specifying an arbitrary destination mirror URL.
* Add unit test for buildcache sync with manifest
* Fix test and arguments for manifest-glob with override destination
* Add testing path for unused mirror argument
* Changes to re-enable aws-pcluster pipelines
- Use compilers from pre-installed spack store such that compiler path relocation works when downloading from buildcache.
- Install gcc from hash so there is no risk of building gcc from source in pipleine.
- `packages.yam` files are now part of the pipelines.
- No more eternal `postinstall.sh`. The necessary steps are in `setup=pcluster.sh` and will be version controlled within this repo.
- Re-enable pipelines.
* Add and
* Debugging output & mv skylake -> skylake_avx512
* Explicilty check for packages
* Handle case with no intel compiler
* compatibility when using setup-pcluster.sh on a pre-installed cluster.
* Disable palace as parser cannot read require clause at the moment
* ifort cannot build superlu in buildcache
`ifort` is unable to handle such long file names as used when cmake compiles
test programs inside build cache.
* Fix spack commit for intel compiler installation
* Need to fetch other commits before using them
* fix style
* Add TODO
* Update packages.yaml to not use 'compiler:', 'target:' or 'provider:'
Synchronize with changes in https://github.com/spack/spack-configs/blob/main/AWS/parallelcluster/
* Use Intel compiler from later version (orig commit no longer found)
* Use envsubst to deal with quoted newlines
This is cleaner than the `eval` command used.
* Need to fetch tags for checkout on version number
* Intel compiler needs to be from version that has compatible DB
* Install intel compiler with commit that has DB ver 7
* Decouple the intel compiler installation from current commit
- Use a completely different spack installation such that this current pipeline
commit remains untouched.
- Make the script suceed even if the compiler installation fails (e.g. because
the Database version has been updated)
- Make the install targets fall back to gcc in case the compiler did not install
correctly.
* Use generic target for x86_64_vX
There is no way to provision a skylake/icelake/zen runner. They are all in the
same pools under x86_64_v3 and x86_64_v4.
* Find the intel compiler in the current spack installation
* Remove SPACK_TARGET_ARCH
* Fix virtual package index & use package.yaml for intel compiler
* Use only one stack & pipeline per generic architecture
* Fix yaml format
* Cleanup typos
* Include fix for ifx.cfg to get the right gcc toolchain when linking
* [removeme] Adding timeout to debug hang in make (palace)
* Revert "[removeme] Adding timeout to debug hang in make (palace)"
This reverts commit fee8a01580489a4ea364368459e9353b46d0d7e2.
* palace x86_64_v4 gets stuck when compiling try newer oneapi
* Update comment
* Use the latest container image
* Update gcc_hashes to match new container
* Use only one tag providing tags per extends call
Also removed an unnecessary tag.
* Move generic setup script out of individual stack
* Cleanup from last commit
* Enable checking signature for packages available on the container
* Remove commented packages / Add comment for palace
* Enable openmpi@5 which needs pmix>3
* don't look for intel compiler on aarch64
Running a `spack-python` script like this:
```python
import spack
import multiprocessing
def echo(args):
print(args)
if __name__ == "__main__":
pool = multiprocessing.Pool(2)
pool.map(echo, range(10))
```
will fail in `develop` with an error like this:
```console
_pickle.PicklingError: Can't pickle <function echo at 0x104865820>: attribute lookup echo on __main__ failed
```
Python expects to be able to look up the method `echo` in `sys.path["__main__"]` in
subprocesses spawned by `multiprocessing`, but because we use `InteractiveConsole` to
run `spack python`, the executed file isn't considered to be the `__main__` module, and
lookups in subprocesses fail. We tried to fake this by setting `__name__` to `__main__`
in the `spack python` command, but that doesn't fix the fact that no `__main__` module
exists.
Another annoyance with `InteractiveConsole` is that `__file__` is not defined in the
main script scope, so you can't use it in your scripts.
We can use the [runpy.run_path()](https://docs.python.org/3/library/runpy.html#runpy.run_path) function,
which has been around since Python 3.2, to fix this.
- [x] Use `runpy` module to launch non-interactive `spack python` invocations
- [x] Only use `InteractiveConsole` for interactive `spack python`
Currently (outside of this PR) when you `spack develop` a path, this path is treated as the staging
directory (this means that for example all build artifacts are placed in the develop path).
This PR creates a separate staging directory for all `spack develop`ed builds. It looks like
```
# the stage root
/the-stage-root-for-all-spack-builds/
spack-stage-<hash>
# Spack packages inheriting CMakePackage put their build artifacts here
spack-build-<hash>/
```
Unlike non-develop builds, there is no `spack-src` directory, `source_path` is the provided `dev_path`.
Instead, separately, in the `dev_path`, we have:
```
/dev/path/for/foo/
build-{arch}-<hash> -> /the-stage-root-for-all-spack-builds/spack-stage-<hash>/
```
The main benefit of this is that build artifacts for out-of-source builds that are relative to
`Stage.path` are easily identified (and you can delete them with `spack clean`).
Other behavior added here:
- [x] A symlink is made from the `dev_path` to the stage directory. This symlink name incorporates
spec details, so that multiple Spack environments that develop the same path will not conflict
with one another
- [x] `spack cd` and `spack location` have added a `-c` shorthand for `--source-dir`
Spack builds can still change the develop path (in particular to keep track of applied patches),
and for in-source builds, this doesn't change much (although logs would not be written into
the develop path). Packages inheriting from `CMakePackage` should get this benefit
automatically though.
* e4s: new packages: glvis, laghos
* gl: require: osmesa
* be explicit: glvis ^llvm so that llvm-amdgpu not chosen
* glvis fails on oneapi stack due to issue 42839
* gitlab: remove requests for unreferenced packages
The packages removed in this commit are not built by any of
our current GitLab CI stacks.
* gitlab: update memory requests for "huge" packages
* gitlab: reduce memory requests for overprovisioned packages
* gitlab: more memory for py-torch (again)
* gitlab: update memory but keep CPU the same
It is useful to enable/disable stacks in order to handle turning
specific stacks on/off based on runner availability, stack stability,
testing requirements, etc.
The disabled stack list takes precedence over the enable stack list. The
assumption is that stacks that are disabled are so due to some
functionality missing or broken for that stack.
The enable stack list implicitly disables all stacks not listed in the
enable list.
The main script body is over-written for power. Putting thet timing
aggregation in the after script allows it to be called on all of the
current pipelines.
This "breaks" the deprecated schema by allowing unknown attributes
to the attributes section of the job types. The breaking change here is
that deprecated stacks will no longer ignore attributes that are unknown
but rather assume the new CI schema behavior of injecting them into the
generated CI configuration. This change is required to secure
authentication in Spack CI.
* gitlab: remove commented-out duplicate entries
* gitlab: reclassify some packages from "huge" to "large"
Our observed max memory usage for these packages is as follows:
hipblas: 7.7G
qt: 6.6G
visit: 9.7G
All of these should fit within a "large" request (currently 12G).
* gitlab: remove pango from list of huge packages
This package is not currently built by any of our CI stacks.
* gitlab: update requests for high memory packages
Refine resource requests for memory-intensive packages based on
max memory usage data.
