* Add all versions back to 0.20, add more depends_on (flex, bison, libffi and ccache), add the ability to enable or disable both abc and ccache, abc is enabled by default, ccache is disabled by default
* Fixed style with black
* Removed unused f-string setups
* Fixed style with black (again)
* Add enum34, numdifftools, and updated pyomo packages
* Syntax error
* Apply black style
* Trying to get around Python spec issue
* All SHAs were somehow wrong
* Change enum version
* Change optional dependencies to be on run, not build
* Add Pyomo 6.7.0
* Update SHA and version mismatch
* Remove py-enum34
* Add three new packages to address comments
* Fix linting errors; move casadi to py-casadi
* Update license; add in dependency
* Update setuptools version
* Update class name to python class
* Remove other boielerplate stuff
* Update homepage addresses; update py-casadi
* Add PAPI 7.0.1
* Add comment about skipping PAPI 7.0.0
* Add patch to avoid adding Intel ifort/ifx flag on Cray ftn
* Modify patch to include Cray-specific flags
* Adjust recipe to always apply patch for 7.0.1
* Expand Cray compiler checks in patch
* Forgot to update recipe
* Adjust recipe so it looks for hipcc in the correct path
* Revert "Adjust recipe so it looks for hipcc in the correct path"
This reverts commit 0db3df4fe2874cea7d0e31fee1709246db668499.
* Patch HIP_PATH to work with Spack-built HIP
* Patch LDFLAGS with llvm-amdgpu path
* Forgot the depends_on line
* libomptarget only builds with clang
* Try a self-consistent build of llvm-amdgpu
* Try making llvm-amdgpu depend on llvm for llvmoffloadarch library
* Update prereq to use rocm-openmp-extras instead
* Refactor llvm-amdgpu to use a version dict
* Fix typo
* Hack to exclude older versions without matching rocm-openmp-extras
* Add PAPI 7.1.0
* Revert changes to llvm-amdgpu
* Fix PAPI 7.1.0 checksum
For now, this only includes packages that I personally maintain.
Notable removals:
* Anaconda 2
* Catalyst
* Ancient numpy/scipy
* Ancient PyTorch
* Ancient Bazel/TF
To work properly, Spack requires a few directories from its repository to be added to
`sys.path`. Previously these were buried in `spack_installable.main.main()`, but it's
sometimes useful to get the paths separately, e.g., if you want to set up your own
functioning spack environment.
With this change, adding the paths is much simpler:
```python
import spack_installable
sys.path[:0] = get_spack_sys_paths(spack_prefix)
```
- [x] Add `get_spack_sys_paths()` method with extra paths in order.
- [x] Refactor `spack_installable.main.main()` to use it.
With an improper/incomplete/broken installation of Clingo, it can be
importable but not have any of the expected attributes
Improve error reporting in this case
* Restore PackageBase class, and modify only ASP
This prevents a noticeable slowdown in concretization
due to the number of directives involved.
* Fix issue with 'clang' being preferred to 'gcc',
due to runtime version weights
* Constraints on runtimes are declared by compilers
The declaration of available runtime versions, and of
their compatibility constraints are in the associated
compiler class.
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
The gcc-runtime package adds a separate node for gcc's dynamic runtime
libraries.
This should help with:
1. binary caches where rpaths for compiler support libs cannot be
relocated because the compiler is missing on the target system
2. creating "minimal" container images
The package is versioned like `gcc` (in principle it could be
unversioned, but Spack doesn't always guarantee not mixing compilers)
If you are calling Spack from the python API, you might have written something like this
before #41529:
```
find = SpackCommand("find")
find('--format={name}', 'saxpy@1.0.0', '+rocm', 'amdgpu_target="gfx90a"')
```
But with the breaking change in #41529, you should write:
```
find = SpackCommand("find")
find('--format={name}', 'gromacs', '+rocm', 'amdgpu_target=gfx90a')
```
Note that we don't need quotes in Python strings, and that this is what would come in
via argv if you typed a quoted variant on the CLI.
The error messages for strings like this are not great -- you get something like this:
```
==> No package matches the query: gromacs+rocm amdgpu_target="gfx90a"
```
Which doesn't indicate that the issue might be your quoting. This is because we were
simply outputting the argv we got, instead of using spec.format() to output the error
message. This PR fixes such errors to use `spec.format()` and to look like this:
```
==> No package matches the query: gromacs+rocm amdgpu_target='"gfx90a"'
```
So users should have an easier time understanding that Spack considers the variant value
to contain quotes here.
- [x] update ConstraintAction to store parsed Specs
- [x] refactor commands to display formatted parsed Specs instead of raw input
Users expect that changes to the externals sections in packages.yaml config apply immediately, but reuse concretization caused this not to be the case. With this commit, the concretizer is only allowed to reuse externals previously imported from config if identical config exists.
This PR adds a flag `--tag/-t` to `buildcache push`, which you can use like
```
$ spack mirror add my-oci-registry oci://example.com/hello/world
$ spack -e my_env buildcache push --base-image ubuntu:22.04 --tag my_custom_tag my-oci-registry
```
and lets users ship a full, installed environment as a minimal container image where each image layer is one Spack package, on top of a base image of choice. The image can then be used as
```
$ docker run -it --rm example.com/hello/world:my_custom_tag
```
Apart from environments, users can also pick arbitrary installed spec from their database, for instance:
```
$ spack buildcache push --base-image ubuntu:22.04 --tag some_specs my-oci-registry gcc@12 cmake
$ docker run -it --rm example.com/hello/world:some_specs
```
It has many advantages over `spack containerize`:
1. No external tools required (`docker`, `buildah`, ...)
2. Creates images from locally installed Spack packages (No need to rebuild inside `docker build`, where troubleshooting build failures is notoriously hard)
3. No need for multistage builds (Spack just tarballs existing installations of runtime deps)
4. Reduced storage size / composability: when pushing multiple environments with common specs, container image layers are shared.
5. Automatic build cache: later `spack install` of the env elsewhere speeds up since the containerized environment is a build cache
