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Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
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Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
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* py-numpy: Add the setting to use fujitsu-ssl2
* py-numpy: Fix for comments
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* Fixed a bug in the DiHydrogen package where the variant legacy was
changed to distconv and wasn't fully propagated. Cleaned up the
openmp variants on the blas library packages in DiHydrogen and
Elemental. Extended support for Aluminum v1.0 in LBANN, Hydrogen, and
DiHydrogen. Fixed a when clause in the LBANN dependencies.
* Removed the upper range limit for the Aluminum library dependence
* Update var/spack/repos/builtin/packages/dihydrogen/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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This commit adds the url and the two releases/versions to the package.
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Remote buildcache indices need to be stored in a place that does not
require writing to the Spack prefix. Move them from the install_tree to
the misc_cache.
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* bugfix for active when pkg is already active error
Co-authored-by: Greg Becker <becker33@llnl.gov>
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fixes #22596
Variants which are specified in an external spec are not
scored negatively if they encode a non-default value.
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fixes #22565
This change enforces the uniqueness of the version_weight
atom per node(Package) in the DAG. It does so by applying
FTSE and adding an extra layer of indirection with the
possible_version_weight/2 atom.
Before this change it may have happened that for the same
node two different version_weight/2 were in the answer set,
each of which referred to a different spec with the same
version, and their weights would sum up.
This lead to unexpected result like preferring to build a
new version of an external if the external version was
older.
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* Make stage use concrete specs from environment
Same as in https://github.com/spack/spack/pull/21642, the idea is that
we want to easily stage a package that fails to build in a complex
environment. Instead of making the user create a spec by hand (basically
transforming all the rules in the environment manifest into a spec,
defying the purpose of the environment...), use the provided spec as a
filter for the already concretized specs. This also speeds up things,
cause we don't have to reconcretize.
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Also patch the "manual_cpp" Python script with proper shebang to ensure the Spack provided Python is used instead of the system Python.
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* graphite2: add python@3.6: as dependency
* graphite2: refine python type to run
* graphite2: change phthon to test type
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(#22524)
* Flang default is False. Include a warning to deter people from using it.
* Fix flake8 issue.
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Co-authored-by: Robert Mijakovic <robert.mijakovic@lrz.de>
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Co-authored-by: Robert Mijakovic <robert.mijakovic@lrz.de>
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Also mark a margo version deprecated that was previously omitted by mistake
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Co-authored-by: Robert Mijakovic <robert.mijakovic@lrz.de>
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Co-authored-by: Robert Mijakovic <robert.mijakovic@lrz.de>
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This adds MPICC=/path/to/intel-oneapi/mpicc etc to he dependents build stage enabling the use of the compiler wrappers.
Co-authored-by: Stephen Sachs <stesachs@amazon.com>
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assignment" (#22562)
Co-authored-by: Jan Ciesko <jciesko@sandia.gov>
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See https://github.com/UIUC-PPL/charm/pull/3303 for context.
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* clingo: modify recipe for bootstrapping
Modifications:
- clingo builds with shared Python only if ^python+shared
- avoid building the clingo app for bootstrapping
- don't link to libpython when bootstrapping
* Remove option that breaks on linux
* Give more hints for the current Python
* Disable CLINGO_BUILD_PY_SHARED for bootstrapping
* bootstrapping: try to detect the current python from std library
This is much faster than calling external executables
* Fix compatibility with Python 2.6
* Give hints on which compiler and OS to use when bootstrapping
This change hints which compiler to use for bootstrapping clingo
(either GCC or Apple Clang on MacOS). On Cray platforms it also
hints to build for the frontend system, where software is meant
to be installed.
* Use spec_for_current_python to constrain module requirement
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* ASP-based solver: avoid adding values to variants when they're set
fixes #22533
fixes #21911
Added a rule that prevents any value to slip in a variant when the
variant is set explicitly. This is relevant for multi-valued variants,
in particular for those that have disjoint sets of values.
* Ensure disjoint sets have a clear semantics for external packages
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Co-authored-by: Robert Mijakovic <robert.mijakovic@lrz.de>
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