* Python tests: allow importing weirdly-named modules
e.g. with dashes in name
* SIP tests: allow importing weirdly-named modules
* Skip modules with invalid names
* Changes from review
* Update from review
* Update from review
* Cleanup
* 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.
Make the first minimization conditional on whether `--reuse` is enabled in the solve.
If `--reuse` is not enabled, there will be nothing in the set to minimize and the
objective function (for this criterion) will be 0 for every answer set.
Many of the integrity constraints in the concretizer are there to restrict how solves are done, but
they ignore that past solves may have had different initial conditions. For example, for things
we're building, we want the allowed variants to be restricted to those currently in Spack packages,
but if we are reusing a concrete spec, we need to be flexible about names that may have existed in
old packages.
Similarly, restrictions around compatibility of OS's, compiler versions, compiler OS support, etc.
are really only about what is supported by the *current* set of compilers/build tools known to
Spack, not about what we may get from concrete specs.
- [x] restrict certain integrity constraints to only apply to packages that we need to build, and
omit concrete specs from consideration.
The OS logic in the concretizer is still the way it was in the first version.
Defaults are implemented in a fairly inflexible way using straight logic. Most
of the other sections have been reworked to leave these kinds of decisions to
optimization. This commit does that for OS's as well.
As with targets, we optimize for target matches. We also try to optimize for
OS matches between nodes. Additionally, this commit adds the notion of
"OS compatibility" where we allow for builds to depend on binaries for certain
other OS's. e.g, for macos, a bigsur build can depend on an already installed
(concrete) catalina build. One cool thing about this is that we can declare
additional compatible OS's later, e.g. CentOS and RHEL.
If we don't rename Spack will fail with:
```
ImportError: cannot bootstrap the "clingo" Python module from spec "clingo-bootstrap@spack+python %gcc target=x86_64" due to the following failures:
'spack-install' raised ValueError: Invalid config scope: 'bootstrap'. Must be one of odict_keys(['_builtin', 'defaults', 'defaults/cray', 'bootstrap/cray', 'disable_modules', 'overrides-0'])
Please run `spack -d spec zlib` for more verbose error messages
```
in case bootstrapping from binaries fails and we are
falling back to bootstrapping from sources.
A common question from users has been how to model variants
that are new in new versions of a package, or variants that are
dependent on other variants. Our stock answer so far has been
an unsatisfying combination of "just have it do nothing in the old
version" and "tell Spack it conflicts".
This PR enables conditional variants, on any spec condition. The
syntax is straightforward, and matches that of previous features.
* GnuPG: allow bootstrapping from buildcache and sources
* Add a test to bootstrap GnuPG from binaries
* Disable bootstrapping in tests
* Add e2e test to bootstrap GnuPG from sources on Ubuntu
* Add e2e test to bootstrap GnuPG on macOS
This PR adds error message sentinels to the clingo solve, attached to each of the rules that could fail a solve. The unsat core is then restricted to these messages, which makes the minimization problem tractable. Errors that can only be generated by a bug in the logic program or generating code are prefaced with "Internal error" to make clear to users that something has gone wrong on the Spack side of things.
* minimize unsat cores manually
* only errors messages are choices/assumptions for performance
* pre-check for unreachable nodes
* update tests for new error message
* make clingo concretization errors show up in cdash reports fully
* clingo: make import of clingo.ast parsing routines robust to clingo version
Older `clingo` has `parse_string`; newer `clingo` has `parse_files`. Make the
code work wtih both.
* make AST access functions backward-compatible with clingo 5.4.0
Clingo AST API has changed since 5.4.0; make some functions to help us
handle both versions of the AST.
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
After #26608 I got a report about missing rpaths when building a
downstream package independently using a spack-installed toolchain
(@tmdelellis). This occurred because the spack-installed libraries were
being linked into the downstream app, but the rpaths were not being
manually added. Prior to #26608 autotools-installed libs would retain
their hard-coded path and would thus propagate their link information
into the downstream library on mac.
We could solve this problem *if* the mac linker (ld) respected
`LD_RUN_PATH` like it does on GNU systems, i.e. adding `rpath` entries
to each item in the environment variable. However on mac we would have
to manually add rpaths either using spack's compiler wrapper scripts or
manually (e.g. using `CMAKE_BUILD_RPATH` and pointing to the libraries of
all the autotools-installed spack libraries).
The easier and safer thing to do for now is to simply stop changing the
dylib IDs.
The `--generic` argument allows printing the best generic target for the
current machine. This can be quite handy when wanting to find the
generic architecture to use when building a shared software stack for
multiple machines.
This PR adds a "spack tags" command to output package tags or
(available) packages with those tags. It also ensures each package
is listed in the tag cache ONLY ONCE per tag.
- [x] Allow dding enumerated types and types whose default value is forbidden by the schema
- [x] Add a test for using enumerated types in the tests for `spack config add`
- [x] Make `config add` tests use the `mutable_config` fixture so they do not
affect other tests
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
If you don't format `spack.yaml` correctly, `spack config edit` still fails and
you have to edit your `spack.yaml` manually.
- [x] Add some code to `_main()` to defer `ConfigFormatError` when loading the
environment, until we know what command is being run.
- [x] Make `spack config edit` use `SPACK_ENV` instead of the config scope
object to find `spack.yaml`, so it can work even if the environment is bad.
Co-authored-by: scheibelp <scheibel1@llnl.gov>
`spack config get <section>` was erroneously returning just the `spack.yaml`
for the environment.
It should return the combined configuration for that section (including
anything from `spack.yaml`), even in an environment.
- [x] reorder conditions in `cmd/config.py` to fix
