* Add spack package py-ytopt-team-ytopt and required dependencies.
* Removed old ytop package.
* Added author as maintainer.
* Fix style.
* Update var/spack/repos/builtin/packages/py-config-space/package.py
Update python dependency to 3.7
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/py-config-space/package.py
Remove run dependency from py-cython.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/py-config-space/package.py
Added run dependency type for py-pyparsing.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Updated description of py-dh-scikit-optimize.
* Source py-dh-scikit-optimize from PyPI.
* Added latest py-dh-scikit-optimize version.
* Made plots option False by default for py-dh-scikit-optimize.
* Removed 0.9.4 as it needs additional dependencies.
* Added version dependencies.
* Added missing py-joblib dependencies.
* Added run dependency type.
* Added python 2.7+ as supported for py-pyaml.
* Change py-config-space to py-configspace.
* Added dependency on python 3.6+.
* Fix py-configspace package naming.
* Changed py-autotune to py-ytopt-autotune.
* Update var/spack/repos/builtin/packages/py-pyaml/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Added debug variant with py-ray dependency.
* Added missing py-mpi4py missing dependency.
* Removed erroneous variant.
* Added debug variant to py-ray.
* Fix indentation.
* Removed debug variant of py-ray.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Noting that missing numeric_limits was the cause of the compile issues
with gcc-11, I tested adding -include limits fixing @5.9:5.14%gcc@11.
Therefore, we can replace the conflicts('%gcc@11:', when='@5.9:5.14').
Co-authored-by: Bernhard Kaindl <bernhard.kaindl@ait.ac.at>
* Prevent additional properties to be in the answer set when reusing specs
fixes#27237
The mechanism to reuse concrete specs relies on imposing
the set of constraints stemming from the concrete spec
being reused.
We also need to prevent that other constraints get added
to this set.
See #25249 and https://github.com/spack/spack/pull/27159#issuecomment-958163679.
This adds `spack load --list` as an alias for `spack find --loaded`. The new command is
not as powerful as `spack find --loaded`, as you can't combine it with all the queries or
formats that `spack find` provides. However, it is more intuitively located in the command
structure in that it appears in the output of `spack load --help`.
The idea here is that people can use `spack load --list` for simple stuff but fall back to
`spack find --loaded` if they need more.
- add help to `spack load --list` that references `spack find`
- factor some parts of `spack find` out to be called from `spack load`
- add shell tests
- update docs
Co-authored-by: Peter Josef Scheibel <scheibel1@llnl.gov>
Co-authored-by: Richarda Butler <39577672+RikkiButler20@users.noreply.github.com>
Reformulate variant rules so that we minimize both
1. The number of non-default values being used
2. The number of default values not-being used
This is crucial for MV variants where we may have
more than one default value
In our tests, we use concrete specs generated from mock packages,
which *only* occur as inputs to the solver. This fixes two problems:
1. We weren't previously adding facts to encode the necessary
`depends_on()` relationships, and specs were unsatisfiable on
reachability.
2. Our hash lookup for reconstructing the DAG does not
consider that a hash may have come from the inputs.
Concrete specs that are already installed or that come from a buildcache
may have compilers and variant settings that we do not recognize, but that
shouldn't prevent reuse (at least not until we have a more detailed compiler
model).
- [x] make sure compiler and variant consistency rules only apply to
built specs
- [x] don't validate concrete specs on input, either -- they're concrete
and we shouldn't apply today's rules to yesterday's build
In switching to hash facts for concrete specs, we lost the transitive facts
from dependencies. This was fine for solves, because they were implied by
the imposed constraints from every hash. However, for `spack diff`, we want
to see what the hashes mean, so we need another mode for `spec_clauses()` to
show that.
This adds a `expand_hashes` argument to `spec_clauses()` that allows us to
output *both* the hashes and their implications on dependencies. We use
this mode in `spack diff`.
- [x] Get rid of forgotten maximize directive.
- [x] Simplify variant handling
- [x] Fix bug in treatment of defaults on externals (don't count
non-default variants on externals against them)
Variants in concrete specs are "always" correct -- or at least we assume
them to be b/c they were concretized before. Their variants need not match
the current version of the package.
Multi-valued variants previously maximized default values to handle
cases where the default contained two values, e.g.:
variant("foo", default="bar,baz")
This is because previously we were minimizing non-default values, and
`foo=bar`, `foo=baz`, and `foo=bar,baz` all had the same score, as
none of them had any "non-default" values.
This commit changes the approach and considers a non-default value
to be either a value set to something not default *or* the absence
of a default value from the set value. This allows multi- and
single-valued variants to be handled the same way, with the same
minimization criterion. It alse means that the "best" value for every
optimization criterion is now zero, which allows us to make useful
assumptions about the optimization criteria.
Minimizing builds is tricky. We want a minimizing criterion because
we want to reuse the avaialble installs, but we also want things that
have to be built to stick to *default preferences* from the package
and from the user. We therefore treat built specs differently and
apply a different set of optimization criteria to them. Spack's *first*
priority is to reuse what it can, but if it builds something, the built
specs will respect defaults and preferences.
This is implemented by bumping the priority of optimization criteria
for built specs -- so that they take precedence over the otherwise
topmost-priority criterion to reuse what is installed.
The scheme relies on all of our optimization criteria being minimizations.
That is, we need the case where all specs are reused to be better than
any built spec could be. Basically, if nothing is built, all the build
criteria are zero (the best possible) and the number of built packages
dominates. If something *has* to be built, it must be strictly worse
than full reuse, because:
1. it increases the number of built specs
2. it must have either zero or some positive number for all criteria
Our optimziation criteria effectively sum into two buckets at once to
accomplish this. We use a `build_priority()` number to shift the
priority of optimization criteria for built specs higher.
The constraints in the `spack diff` test were very specific and assumed
a lot about the structure of what was being diffed. Relax them a bit to
make them more resilient to changes.
