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* asp: memoize the list of all target_specs to speed-up setup phase
* asp: memoize using a cache per solver object
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Since zsh can load bash completion files natively, seems reasonable to just turn this on.
The only changes are to switch from `type -t` which zsh doesn't support to using `type`
with a regex and adding a new arm to the sourcing of the completions to allow it to work
for zsh as well as bash.
Could use more bash/dash/etc testing probably, but everything I've thought to try has
worked so far.
Notes:
* unit-test zsh support, fix issues
Specifically fixed word splitting in completion-test, use a different
method to apply sh emulation to zsh loaded bash completion, and fixed
an incompatibility in regex operator quoting requirements.
* compinit now ignores insecure directories
Completion isn't meant to be enabled in non-interactive environments, so
by default compinit will ask the user if they want to ignore insecure
directories or load them anyway. To pass the spack unit tests in GH
actions, this prompt must be disabled, so ignore explicitly until a
better solution can be found.
* debug functions test also requires bash emulation
COMP_WORDS is a bash-ism that zsh doesn't natively support, turn on
emulation for just that section of tests to allow the comparison to
work. Does not change the behavior of the functions themselves since
they are already pinned to sh emulation elsewhere.
* propagate change to .in file
* fix comment and update script based on .in
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Mesa no longer supports building static libraries so it doesn't
even make sense to add the variant.
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This PR addresses a number of issues related to compiler bootstrapping.
Specifically:
1. Collect compilers to be bootstrapped while queueing in installer
Compiler tasks currently have an incomplete list in their task.dependents,
making those packages fail to install as they think they have not all their
dependencies installed. This PR collects the dependents and sets them on
compiler tasks.
2. allow boostrapped compilers to back off target
Bootstrapped compilers may be built with a compiler that doesn't support
the target used by the rest of the spec. Allow them to build with less
aggressive target optimization settings.
3. Support for target ranges
Backing off the target necessitates computing target ranges, so make Spack
handle those properly. Notably, this adds an intersection method for target
ranges and fixes the way ranges are satisfied and constrained on Spec objects.
This PR also:
- adds testing
- improves concretizer handling of target ranges
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
Co-authored-by: Gregory Becker <becker33@llnl.gov>
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
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* py-greenlet: add version 0.4.17
* py-greenlet depends on python for build, link, and run
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Cray's version of MPICH uses a different versioning system than
MPICH, so it has been split into its own package. It is an
external-only package (always provided by the system, never
installed by Spack).
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* py-gemini +
* dep py-setuptools +
* deps grabix+
* py-gemini dep version fix
* grabix compiler fix
* Update package.py
Typo correction
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The package is at the moment not installable, just detectable.
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refers #20292
Added a unit test that ensures we can reuse installed
packages even if in the repository variants have been
removed or added.
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bug only relevant for python3
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(#20367)
* Kluge to get the gfortran linker to work correctly on Big Sur.
* Fixed formatting error; stetting the other.
* Removed spaces.
* Added comment, mainly to re-trigger Spack CI.
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Currently, version range constraints, compiler version range constraints,
and target range constraints are implemented by generating ground rules
from `asp.py`, via `one_of_iff()`. The rules look like this:
```
version_satisfies("python", "2.6:") :- 1 { version("python", "2.4"); ... } 1.
1 { version("python", "2.4"); ... } 1. :- version_satisfies("python", "2.6:").
```
So, `version_satisfies(Package, Constraint)` is true if and only if the
package is assigned a version that satisfies the constraint. We
precompute the set of known versions that satisfy the constraint, and
generate the rule in `SpackSolverSetup`.
We shouldn't need to generate already-ground rules for this. Rather, we
should leave it to the grounder to do the grounding, and generate facts
so that the constraint semantics can be defined in `concretize.lp`.
We can replace rules like the ones above with facts like this:
```
version_satisfies("python", "2.6:", "2.4")
```
And ground them in `concretize.lp` with rules like this:
```
1 { version(Package, Version) : version_satisfies(Package, Constraint, Version) } 1
:- version_satisfies(Package, Constraint).
version_satisfies(Package, Constraint)
:- version(Package, Version), version_satisfies(Package, Constraint, Version).
```
The top rule is the same as before. It makes conditional dependencies and
other places where version constraints are used work properly. Note that
we do not need the cardinality constraint for the second rule -- we
already have rules saying there can be only one version assigned to a
package, so we can just infer from `version/2` `version_satisfies/3`.
This form is also safe for grounding -- If we used the original form we'd
have unsafe variables like `Constraint` and `Package` -- the original
form only really worked when specified as ground to begin with.
- [x] use facts instead of generating rules for package version constraints
- [x] use facts instead of generating rules for compiler version constraints
- [x] use facts instead of generating rules for target range constraints
- [x] remove `one_of_iff()` and `iff()` as they're no longer needed
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