* sccache: add new package
* sccache: add older versions and minimum rust versions
* sccache: add more minimum rust versions
* sccache: add sccache executable and tag as build-tools
* sccache: add dist-server
* sccache: add determine_version and determin_variants
* sccache: add sccache-dist executable
* sccache: fix style
* Update var/spack/repos/builtin/packages/sccache/package.py
* In case building very old sccache <= 5 is not needed with these older rust version is not needed, they can be omitted.
* sccache: drop older versions
Co-authored-by: Bernhard Kaindl <bernhardkaindl7@gmail.com>
* sccache: add openssl dependency
* sccache: openssl is a linux only dependency?
---------
Co-authored-by: Bernhard Kaindl <bernhardkaindl7@gmail.com>
Older builds of Boost were failing on Windows because they were
adding --without-... flags for libraries that did not exist in those
versions. So:
* lib variants are updated with version range info (current range
info for libs is not comprehensive, but represents changes over the
last few minor versions up to 1.85)
* On Windows, --without-... options are omitted for libraries when they
don't exist for the version of boost being built. Non-Windows uses
a different approach, which was not affected because the new libraries
were not activated by default. It would benefit from similar attention
though to avoid potential future issues.
#44327 made sure to always run `set_package_py_globals` on all
packages before running `setup_dependent_package` for any package,
so that packages implementing the latter could depend on variables
like `spack_cc` being defined.
This ran into an undocumented dependency: `std_cmake_args` is set in
`set_package_py_globals` and makes use of `cmake_prefix_paths` (if it
is defined in the package); `py-torch`es implementation of
`cmake_prefix_paths` depends on a variable set by
`setup_dependent_package` (`python_platlib`).
This generally restores #44327, and corrects the resulting issue by
moving assignment of `std_cmake_args` to after both actions have been
run.
* py-clip-anytorch: new package
* py-clip-anytorch: ran black
py-langchain-core: ran black
py-pydantic: ran black
py-dalle2-pytorch: ran black
* [py-clip-anytorch] fixed license(checked_by)
* Apply suggestion from Wouter on fixing CI
Co-authored-by: Wouter Deconinck <wdconinc@gmail.com>
---------
Co-authored-by: Alex C Leute <acl2809@rit.edu>
Co-authored-by: Bernhard Kaindl <bernhardkaindl7@gmail.com>
Co-authored-by: Wouter Deconinck <wdconinc@gmail.com>
* py-pytorch-warmup: new package
* py-clip-anytorch: ran black
py-langchain-core: ran black
py-pydantic: ran black
py-dalle2-pytorch: ran black
---------
Co-authored-by: Alex C Leute <acl2809@rit.edu>
Some unused methods in VTK-m resulted in compile errors. These were
not discovered because many compilers ignore unused methods in templated
classes, but the SYCL compiler for Aurora gave an error.
Turns out `os=...` of the spec and `MACOSX_DEPLOYMENT_TARGET` are kept
in sync, and the env variable is used to initialize
`CMAKE_MACOSX_DEPLOYMENT_TARGET`.
In bootstrap code we set the env variable, so these bits are redundant.
---------
Co-authored-by: haampie <haampie@users.noreply.github.com>
* Remove the implicit CORE-AVX512 since the CPU specific flags are added by the
compiler wrappers.
* Add `-i_use-path` to help `ifx` find `lld` even if `-gcc-name` is set in
`ifx.cfg`. This file is written by `intel-oneapi-compilers` package to find the
correct `gcc`. Not being able to find `ldd` is a bug in `ifx`. @rschon2 found
this workaround.
