The signature for configure_args in the template for new
RPackage packages was incorrect (different than what is
defined and used in lib/spack/spack/build_systems/r.py)
See issue #21774
Keep spack.store.store and spack.store.db consistent in unit tests
* Remove calls to monkeypatch for spack.store.store and spack.store.db:
tests that used these called one or the other, which lead to
inconsistencies (the tests passed regardless but were fragile as a
result)
* Fixtures making use of monkeypatch with mock_store now use the
updated use_store function, which sets store.store and store.db
consistently
* subprocess_context.TestState now transfers the serializes and
restores spack.store.store (without the monkeypatch changes this
would have created inconsistencies)
Since signals are fundamentally racy, We can't bound the amount of time
that the `test_foreground_background_output` test will take to get to
'on', we can only observe that it transitions to 'on'. So instead of
using an arbitrary limit, just adjust the test to allow either 'on' or
'off' followed by 'on'.
This should eliminate the spurious errors we see in CI.
Follow-up to #17110
### Before
```bash
CC=/Users/Adam/spack/lib/spack/env/clang/clang; export CC
SPACK_CC=/usr/bin/clang; export SPACK_CC
PATH=...:/Users/Adam/spack/lib/spack/env/apple-clang:/Users/Adam/spack/lib/spack/env/case-insensitive:/Users/Adam/spack/lib/spack/env:...; export PATH
```
### After
```bash
CC=/Users/Adam/spack/lib/spack/env/clang/clang; export CC
SPACK_CC=/usr/bin/clang; export SPACK_CC
PATH=...:/Users/Adam/spack/lib/spack/env/clang:/Users/Adam/spack/lib/spack/env/case-insensitive:/Users/Adam/spack/lib/spack/env:...; export PATH
```
`CC` and `SPACK_CC` were being set correctly, but `PATH` was using the name of the compiler `apple-clang` instead of `clang`. For most packages, since `CC` was set correctly, nothing broke. But for packages using `Makefiles` that set `CC` based on `which clang`, it was using the system compilers instead of the compiler wrappers. Discovered when working on `py-xgboost@0.90`.
An alternative fix would be to copy the symlinks in `env/clang` to `env/apple-clang`. Let me know if you think there's a better way to do this, or to test this.
* sbang pushed back to callers;
star moved to util.lang
* updated unit test
* sbang test moved; local tests pass
Co-authored-by: Nathan Hanford <hanford1@llnl.gov>
fixes#20736
Before this one line fix we were erroneously deducing
that dependency conditions hold even if a package
was external.
This may result in answer sets that contain imposed
conditions on a node without the node being present
in the DAG, hence #20736.
At some point in the past, the skip_patch argument was removed
from the call to package.do_install() this broke the --skip-patch
flag on the dev-build command.
fixes#20679
In this refactor we have a single cardinality rule on the
provider, which triggers a rule transforming a dependency
on a virtual package into a dependency on the provider of
the virtual.
Every other predicate in the concretizer uses a `_set` suffix to
implement user- or package-supplied settings, but compiler settings use a
`_hard` suffix for this. There's no difference in how they're used, so
make the names the same.
- [x] change `node_compiler_hard` to `node_compiler_set`
- [x] change `node_compiler_version_hard` to `node_compiler_version_set`
Previously, the concretizer handled version constraints by comparing all
pairs of constraints and ensuring they satisfied each other. This led to
INCONSISTENT ressults from clingo, due to ambiguous semantics like:
version_constraint_satisfies("mpi", ":1", ":3")
version_constraint_satisfies("mpi", ":3", ":1")
To get around this, we introduce possible (fake) versions for virtuals,
based on their constraints. Essentially, we add any Versions,
VersionRange endpoints, and all such Versions and endpoints from
VersionLists to the constraint. Virtuals will have one of these synthetic
versions "picked" by the solver. This also allows us to remove a special
case from handling of `version_satisfies/3` -- virtuals now work just
like regular packages.
This converts the virtual handling in the new concretizer from
already-ground rules to facts. This is the last thing that needs to be
refactored, and it converts the entire concretizer to just use facts.
The previous way of handling virtuals hinged on rules involving
`single_provider_for` facts that were tied to the virtual and a version
range. The new method uses the condition pattern we've been using for
dependencies, externals, and conflicts.
To handle virtuals as conditions, we impose constraints on "fake" virtual
specs in the logic program. i.e., `version_satisfies("mpi", "2.0:",
"2.0")` is legal whereas before we wouldn't have seen something like
this. Currently, constriants are only handled on versions -- we don't
handle variants or anything else yet, but they key change here is that we
*could*. For a long time, virtual handling in Spack has only dealt with
versions, and we'd like to be able to handle variants as well. We could
easily add an integrity constraint to handle variants like the one we use
for versions.
One issue with the implementation here is that virtual packages don't
actually declare possible versions like regular packages do. To get
around that, we implement an integrity constraint like this:
:- virtual_node(Virtual),
version_satisfies(Virtual, V1), version_satisfies(Virtual, V2),
not version_constraint_satisfies(Virtual, V1, V2).
This requires us to compare every version constraint to every other, both
in program generation and within the concretizer -- so there's a
potentially quadratic evaluation time on virtual constraints because we
don't have a real version to "anchor" things to. We just say that all the
constraints need to agree for the virtual constraint to hold.
We can investigate adding synthetic versions for virtuals in the future,
to speed this up.
This code in `SpecBuilder.build_specs()` introduced in #20203, can loop
seemingly interminably for very large specs:
```python
set([spec.root for spec in self._specs.values()])
```
It's deceptive, because it seems like there must be an issue with
`spec.root`, but that works fine. It's building the set afterwards that
takes forever, at least on `r-rminer`. Currently if you try running
`spack solve r-rminer`, it loops infinitely and spins up your fan.
The issue (I think) is that the spec is not yet complete when this is
run, and something is going wrong when constructing and comparing so many
values produced by `_cmp_key()`. We can investigate the efficiency of
`_cmp_key()` separately, but for now, the fix is:
```python
roots = [spec.root for spec in self._specs.values()]
roots = dict((id(r), r) for r in roots)
```
We know the specs in `self._specs` are distinct (they just came out of
the solver), so we can just use their `id()` to unique them here. This
gets rid of the infinite loop.
Environment yaml files should not have default values written to them.
To accomplish this, we change the validator to not add the default values to yaml. We rely on the code to set defaults for all values (and use defaulting getters like dict.get(key, default)).
Includes regression test.
This creates a set of packages which all use the same script to install
components of Intel oneAPI. This includes:
* An inheritable IntelOneApiPackage which knows how to invoke the
installation script based on which components are requested
* For components which include headers/libraries, an inheritable
IntelOneApiLibraryPackage is provided to locate them
* Individual packages for DAL, DNN, TBB, etc.
* A package for the Intel oneAPI compilers (icx/ifx). This also includes
icc/ifortran but these are not currently detected in this PR
We have to repeat all the spec attributes in a number of places in
`concretize.lp`, and Spack has a fair number of spec attributes. If we
instead add some rules up front that establish equivalencies like this:
```
node(Package) :- attr("node", Package).
attr("node", Package) :- node(Package).
version(Package, Version) :- attr("version", Package, Version).
attr("version", Package, Version) :- version(Package, Version).
```
We can rewrite most of the repetitive conditions with `attr` and repeat
only for each arity (there are only 3 arities for spec attributes so far)
as opposed to each spec attribute. This makes the logic easier to read
and the rules easier to follow.
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
Continuing to convert everything in `asp.py` into facts, make the
generation of ground rules for conditional dependencies use facts, and
move the semantics into `concretize.lp`.
This is probably the most complex logic in Spack, as dependencies can be
conditional on anything, and we need conditional ASP rules to accumulate
and map all the dependency conditions to spec attributes.
The logic looks complicated, but essentially it accumulates any
constraints associated with particular conditions into a fact associated
with the condition by id. Then, if *any* condition id's fact is True, we
trigger the dependency.
This simplifies the way `declared_dependency()` works -- the dependency
is now declared regardless of whether it is conditional, and the
conditions are handled by `dependency_condition()` facts.
There are currently no places where we do not want to traverse
dependencies in `spec_clauses()`, so simplify the logic by consolidating
`spec_traverse_clauses()` with `spec_clauses()`.
`version_satisfies/2` and `node_compiler_version_satisfies/3` are
generated but need `#defined` directives to avoid " info: atom does not
occur in any rule head:" warnings.
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>
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
I was keeping the old `clingo` driver code around in case we had to run
using the command line tool instad of through the Python interface.
So far, the command line is faster than running through Python, but I'm
working on fixing that. I found that if I do this:
```python
control = clingo.Control()
control.load("concretize.lp")
control.load("hdf5.lp") # code from spack solve --show asp hdf5
control.load("display.lp")
control.ground([("base", [])])
control.solve(...)
```
It's just as fast as the command line tool. So we can always generate the
code and load it manually if we need to -- we don't need two drivers for
clingo. Given that the python interface is also the only way to get unsat
cores, I think we pretty much have to use it.
So, I'm removing the old command line driver and other unused code. We
can dig it up again from the history if it is needed.
Track all the variant values mentioned when emitting constraints, validate them
and emit a fact that allows them as possible values.
This modification ensures that open-ended variants (variants accepting any string
or any integer) are projected to the finite set of values that are relevant for this
concretization.
Other parts of the concretizer code build up lists of things we can't
know without traversing all specs and packages, and they output these
list at the very end.
The code for this for variant values from spec literals was intertwined
with the code for traversing the input specs. This only covers the input
specs and misses variant values that might come from directives in
packages.
- [x] move ad-hoc value handling code into spec_clauses so we do it in
one place for CLI and packages
- [x] move handling of `variant_possible_value`, etc. into
`concretize.lp`, where we can automatically infer variant existence
more concisely.
- [x] simplify/clarify some of the code for variants in `spec_clauses()`
fixes#20055
Compiler with custom versions like gcc@foo are not currently
matched to the appropriate targets. This is because the
version of spec doesn't match the "real" version of the
compiler.
This PR replicates the strategy used in the original
concretizer to deal with that and tries to detect the real
version of compilers if the version in the spec returns no
results.
fixes#20040
Matching compilers among nodes has been prioritized
in #20020. Selection of default variants has been
tuned in #20182. With this setup there is no need
to have an ad-hoc rule for external packages. On
the contrary it should be removed to prefer having
default variant values over more external nodes in
the DAG.
refers #20040
Before this PR optimization rules would have selected default
providers at a higher priority than default variants. Here we
swap this priority and we consider variants that are forced by
any means (root spec or spec in depends_on clause) the same as
if they were with a default value.
This prevents the solver from avoiding expected configurations
just because they contain directives like:
depends_on('pkg+foo')
and `+foo` is not the default variant value for pkg.
fixes#19981
This commit adds support for target ranges in directives,
for instance:
conflicts('+foo', when='target=x86_64:,aarch64:')
If any target in a spec body is not a known target the
following clause will be emitted:
node_target_satisfies(Package, TargetConstraint)
when traversing the spec and a definition of
the clause will then be printed at the end similarly
to what is done for package and compiler versions.
fixes#20019
Before this modification having a newer version of a node came
at higher priority in the optimization than having matching
compilers. This could result in unexpected configurations for
packages with conflict directives on compilers of the type:
conflicts('%gcc@X.Y:', when='@:A.B')
where changing the compiler for just that node is preferred to
lower the node version to less than 'A.B'. Now the priority has
been switched so the solver will try to lower the version of the
nodes in question before changing their compiler.
refers #20079
Added docstrings to 'concretize' and 'concretized' to
document the format for tests.
Added tests for the activation of test dependencies.
refers #20040
This modification emits rules like:
provides_virtual("netlib-lapack","blas") :- variant_value("netlib-lapack","external-blas","False").
for packages that provide virtual dependencies conditionally instead
of a fact that doesn't account for the condition.
Follow-up to #17110
### Before
```bash
CC=/Users/Adam/spack/lib/spack/env/clang/clang; export CC
SPACK_CC=/usr/bin/clang; export SPACK_CC
PATH=...:/Users/Adam/spack/lib/spack/env/apple-clang:/Users/Adam/spack/lib/spack/env/case-insensitive:/Users/Adam/spack/lib/spack/env:...; export PATH
```
### After
```bash
CC=/Users/Adam/spack/lib/spack/env/clang/clang; export CC
SPACK_CC=/usr/bin/clang; export SPACK_CC
PATH=...:/Users/Adam/spack/lib/spack/env/clang:/Users/Adam/spack/lib/spack/env/case-insensitive:/Users/Adam/spack/lib/spack/env:...; export PATH
```
`CC` and `SPACK_CC` were being set correctly, but `PATH` was using the name of the compiler `apple-clang` instead of `clang`. For most packages, since `CC` was set correctly, nothing broke. But for packages using `Makefiles` that set `CC` based on `which clang`, it was using the system compilers instead of the compiler wrappers. Discovered when working on `py-xgboost@0.90`.
An alternative fix would be to copy the symlinks in `env/clang` to `env/apple-clang`. Let me know if you think there's a better way to do this, or to test this.
The fixture was introduced in #19690 maybe accidentally.
It's not used in unit tests, and though it should be
mutable it seems an exact copy of it's immutable version.
Before this change, in pipeline environments where runners do not have access
to persistent shared file-system storage, the only way to pass buildcaches to
dependents in later stages was by using the "enable-artifacts-buildcache" flag
in the gitlab-ci section of the spack.yaml. This change supports a second
mechanism, named "temporary-storage-url-prefix", which can be provided instead
of the "enable-artifacts-buildcache" feature, but the two cannot be used at the
same time. If this prefix is provided (only "file://" and "s3://" urls are
supported), the gitlab "CI_PIPELINE_ID" will be appended to it to create a url
for a mirror where pipeline jobs will write buildcache entries for use by jobs
in subsequent stages. If this prefix is provided, a cleanup job will be
generated to run after all the rebuild jobs have finished that will delete the
contents of the temporary mirror. To support this behavior a new mirror
sub-command has been added: "spack mirror destroy" which can take either a
mirror name or url.
This change also fixes a bug in generation of "needs" list for each job. Each
jobs "needs" list is supposed to only contain direct dependencies for scheduling
purposes, unless "enable-artifacts-buildcache" is specified. Only in that case
are the needs lists supposed to contain all transitive dependencies. This
changes fixes a bug that caused the needs lists to always contain all transitive
dependencies, regardless of whether or not "enable-artifacts-buildcache" was
specified.
Pipelines: DAG pruning
During the pipeline generation staging process we check each spec against all configured mirrors to determine whether it is up to date on any of the mirrors. By default, and with the --prune-dag argument to "spack ci generate", any spec already up to date on at least one remote mirror is omitted from the generated pipeline. To generate jobs for up to date specs instead of omitting them, use the --no-prune-dag argument. To speed up the pipeline generation process, pass the --check-index-only argument. This will cause spack to check only remote buildcache indices and avoid directly fetching any spec.yaml files from mirrors. The drawback is that if the remote buildcache index is out of date, spec rebuild jobs may be scheduled unnecessarily.
This change removes the final-stage-rebuild-index block from gitlab-ci section of spack.yaml. Now rebuilding the buildcache index of the mirror specified in the spack.yaml is the default, unless "rebuild-index: False" is set. Spack assigns the generated rebuild-index job runner attributes from an optional new "service-job-attributes" block, which is also used as the source of runner attributes for another generated non-build job, a no-op job, which spack generates to avoid gitlab errors when DAG pruning results in empty pipelines.
The SPACK_PYTHON environment variable can be set to a python interpreter to be
used by the spack command. This allows the spack command itself to use a
consistent and separate interpreter from whatever python might be used for package
building.
Modifications:
- Make use of SpackCommand objects wherever possible
- Deduplicated code when possible
- Moved cleaning of mirrors to fixtures
- Ensure mock configuration has a clear initialization order
`query()` calls `datetime.datetime.fromtimestamp` regardless of whether a
date query is being done. Guard this with an if statement to avoid the
unnecessary work.
Constructing a spec from a name instead of setting name directly forces
from_node_dict to call Spec.parse(), which is slow. Avoid this by using a
zero-arg constructor and setting name directly.
This solves a few FIXMEs in conftest.py, where
we were manipulating globals and seeing side
effects prior to registering fixtures.
This commit solves the FIXMEs, but introduces
a performance regression on tests that may need
to be investigated
The method is now called "use_repositories" and
makes it clear in the docstring that it accepts
as arguments either Repo objects or paths.
Since there was some duplication between this
contextmanager and "use_repo" in the testing framework,
remove the latter and use spack.repo.use_repositories
across the entire code base.
Make a few adjustment to MockPackageMultiRepo, since it was
stating in the docstring that it was supposed to mock
spack.repo.Repo and was instead mocking spack.repo.RepoPath.
Some compilers, such as the NV compilers, do not recognize -isystem
dir when specified without a space.
Works: -isystem ../include
Does not work: -isystem../include
This PR updates the compiler wrapper to include the space with -isystem.
Environment views fail when the tmpdir used for view generation is
on a separate mount from the install_tree because the files cannot
by symlinked between the two. The fix is to use an alternative
tmpdir located alongside the view.
* Procedure to deprecate old versions of software
* Add documentation
* Fix bug in logic
* Update tab completion
* Deprecate legacy packages
* Deprecate old mxnet as well
* More explicit docs
This commit adds an option to the `external find`
command that allows it to search by tags. In this
way group of executables with common purposes can
be grouped under a single name and a simple command
can be used to detect all of them.
As an example introduce the 'build-tools' tag to
search for common development tools on a system
The "fact" method before was dealing with multiple facts
registered per call, which was used when we were emitting
grounded rules from knowledge of the problem instance.
Now that the encoding is changed we can simplify the method
to deal only with a single fact per call.
Sometimes we need to patch a file that is a dependency for some other
automatically generated file that comes in a release tarball. As a
result, make tries to regenerate the dependent file using additional
tools (e.g. help2man), which would not be needed otherwise.
In some cases, it's preferable to avoid that (e.g. see #21255). A way
to do that is to save the modification timestamps before patching and
restoring them afterwards. This PR introduces a context wrapper that
does that.
The first of my two upstream patches to mypy landed in the 0.800 tag that was released this morning, which lets us use module and package parameters with a .mypy.ini file that has a files key. This uses those parameters to check all of spack in style, but leaves the packages out for now since they are still very, very broken. If no package has been modified, the packages are not checked, but if one has they are. Includes some fixes for the log tests since they were not type checking.
Should also fix all failures related to "duplicate module named package" errors.
Hopefully the next drop of mypy will include my other patch so we can just specify the modules and packages in the config file to begin with, but for now we'll have to live with a bare mypy doing a check of the libs but not the packages.
* use module and package flags to check packages properly
* stop checking package files, use package flag for libs
The packages are not type checkable yet, need to finish out another PR
before they can be. The previous commit also didn't check the libraries
properly, this one does.
* sbang pushed back to callers;
star moved to util.lang
* updated unit test
* sbang test moved; local tests pass
Co-authored-by: Nathan Hanford <hanford1@llnl.gov>
fixes#20736
Before this one line fix we were erroneously deducing
that dependency conditions hold even if a package
was external.
This may result in answer sets that contain imposed
conditions on a node without the node being present
in the DAG, hence #20736.
At some point in the past, the skip_patch argument was removed
from the call to package.do_install() this broke the --skip-patch
flag on the dev-build command.
fixes#20679
In this refactor we have a single cardinality rule on the
provider, which triggers a rule transforming a dependency
on a virtual package into a dependency on the provider of
the virtual.
This adds a -i option to "spack python" which allows use of the
IPython interpreter; it can be used with "spack python -i ipython".
This assumes it is available in the Python instance used to run
Spack (i.e. that you can "import IPython").
Every other predicate in the concretizer uses a `_set` suffix to
implement user- or package-supplied settings, but compiler settings use a
`_hard` suffix for this. There's no difference in how they're used, so
make the names the same.
- [x] change `node_compiler_hard` to `node_compiler_set`
- [x] change `node_compiler_version_hard` to `node_compiler_version_set`
Previously, the concretizer handled version constraints by comparing all
pairs of constraints and ensuring they satisfied each other. This led to
INCONSISTENT ressults from clingo, due to ambiguous semantics like:
version_constraint_satisfies("mpi", ":1", ":3")
version_constraint_satisfies("mpi", ":3", ":1")
To get around this, we introduce possible (fake) versions for virtuals,
based on their constraints. Essentially, we add any Versions,
VersionRange endpoints, and all such Versions and endpoints from
VersionLists to the constraint. Virtuals will have one of these synthetic
versions "picked" by the solver. This also allows us to remove a special
case from handling of `version_satisfies/3` -- virtuals now work just
like regular packages.
This converts the virtual handling in the new concretizer from
already-ground rules to facts. This is the last thing that needs to be
refactored, and it converts the entire concretizer to just use facts.
The previous way of handling virtuals hinged on rules involving
`single_provider_for` facts that were tied to the virtual and a version
range. The new method uses the condition pattern we've been using for
dependencies, externals, and conflicts.
To handle virtuals as conditions, we impose constraints on "fake" virtual
specs in the logic program. i.e., `version_satisfies("mpi", "2.0:",
"2.0")` is legal whereas before we wouldn't have seen something like
this. Currently, constriants are only handled on versions -- we don't
handle variants or anything else yet, but they key change here is that we
*could*. For a long time, virtual handling in Spack has only dealt with
versions, and we'd like to be able to handle variants as well. We could
easily add an integrity constraint to handle variants like the one we use
for versions.
One issue with the implementation here is that virtual packages don't
actually declare possible versions like regular packages do. To get
around that, we implement an integrity constraint like this:
:- virtual_node(Virtual),
version_satisfies(Virtual, V1), version_satisfies(Virtual, V2),
not version_constraint_satisfies(Virtual, V1, V2).
This requires us to compare every version constraint to every other, both
in program generation and within the concretizer -- so there's a
potentially quadratic evaluation time on virtual constraints because we
don't have a real version to "anchor" things to. We just say that all the
constraints need to agree for the virtual constraint to hold.
We can investigate adding synthetic versions for virtuals in the future,
to speed this up.
This code in `SpecBuilder.build_specs()` introduced in #20203, can loop
seemingly interminably for very large specs:
```python
set([spec.root for spec in self._specs.values()])
```
It's deceptive, because it seems like there must be an issue with
`spec.root`, but that works fine. It's building the set afterwards that
takes forever, at least on `r-rminer`. Currently if you try running
`spack solve r-rminer`, it loops infinitely and spins up your fan.
The issue (I think) is that the spec is not yet complete when this is
run, and something is going wrong when constructing and comparing so many
values produced by `_cmp_key()`. We can investigate the efficiency of
`_cmp_key()` separately, but for now, the fix is:
```python
roots = [spec.root for spec in self._specs.values()]
roots = dict((id(r), r) for r in roots)
```
We know the specs in `self._specs` are distinct (they just came out of
the solver), so we can just use their `id()` to unique them here. This
gets rid of the infinite loop.
- [x] add `concretize.lp`, `spack.yaml`, etc. to licensed files
- [x] update all licensed files to say 2013-2021 using
`spack license update-copyright-year`
- [x] appease mypy with some additions to package.py that needed
for oneapi.py
This adds a new subcommand to `spack license` that automatically updates
the copyright year in files that should have a license header.
- [x] add `spack license update-copyright-year` command
- [x] add test
GCC looks for included files based on several env vars.
Remove C_INCLUDE_PATH, CPLUS_INCLUDE_PATH, and OBJC_INCLUDE_PATH
from the build environment to ensure it's clean and prevent
accidental clobbering.
Environment yaml files should not have default values written to them.
To accomplish this, we change the validator to not add the default values to yaml. We rely on the code to set defaults for all values (and use defaulting getters like dict.get(key, default)).
Includes regression test.
This creates a set of packages which all use the same script to install
components of Intel oneAPI. This includes:
* An inheritable IntelOneApiPackage which knows how to invoke the
installation script based on which components are requested
* For components which include headers/libraries, an inheritable
IntelOneApiLibraryPackage is provided to locate them
* Individual packages for DAL, DNN, TBB, etc.
* A package for the Intel oneAPI compilers (icx/ifx). This also includes
icc/ifortran but these are not currently detected in this PR
I lost my mind a bit after getting the completion stuff working and
decided to get Mypy working for spack as well. This adds a
`.mypy.ini` that checks all of the spack and llnl modules, though
not yet packages, and fixes all of the identified missing types and
type issues for the spack library.
In addition to these changes, this includes:
* rename `spack flake8` to `spack style`
Aliases flake8 to style, and just runs flake8 as before, but with
a warning. The style command runs both `flake8` and `mypy`,
in sequence. Added --no-<tool> options to turn off one or the
other, they are on by default. Fixed two issues caught by the tools.
* stub typing module for python2.x
We don't support typing in Spack for python 2.x. To allow 2.x to
support `import typing` and `from typing import ...` without a
try/except dance to support old versions, this adds a stub module
*just* for python 2.x. Doing it this way means we can only reliably
use all type hints in python3.7+, and mypi.ini has been updated to
reflect that.
* add non-default black check to spack style
This is a first step to requiring black. It doesn't enforce it by
default, but it will check it if requested. Currently enforcing the
line length of 79 since that's what flake8 requires, but it's a bit odd
for a black formatted project to be quite that narrow. All settings are
in the style command since spack has no pyproject.toml and I don't
want to add one until more discussion happens. Also re-format
`style.py` since it no longer passed the black style check
with the new length.
* use style check in github action
Update the style and docs action to use `spack style`, adding in mypy
and black to the action even if it isn't running black right now.
We have to repeat all the spec attributes in a number of places in
`concretize.lp`, and Spack has a fair number of spec attributes. If we
instead add some rules up front that establish equivalencies like this:
```
node(Package) :- attr("node", Package).
attr("node", Package) :- node(Package).
version(Package, Version) :- attr("version", Package, Version).
attr("version", Package, Version) :- version(Package, Version).
```
We can rewrite most of the repetitive conditions with `attr` and repeat
only for each arity (there are only 3 arities for spec attributes so far)
as opposed to each spec attribute. This makes the logic easier to read
and the rules easier to follow.
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
This PR does three related things to try to improve developer tooling quality of life:
1. Adds new options to `.flake8` so it applies the rules of both `.flake8` and `.flake_package` based on paths in the repository.
2. Adds a re-factoring of the `spack flake8` logic into a flake8 plugin so using flake8 directly, or through editor or language server integration, only reports errors that `spack flake8` would.
3. Allows star import of `spack.pkgkit` in packages, since this is now the thing that needs to be imported for completion to work correctly in package files, it's nice to be able to do that.
I'm sorely tempted to sed over the whole repository and put `from spack.pkgkit import *` in every package, but at least being allowed to do it on a per-package basis helps.
As an example of what the result of this is:
```
~/Workspace/Projects/spack/spack develop* ⇣
❯ flake8 --format=pylint ./var/spack/repos/builtin/packages/kripke/package.py
./var/spack/repos/builtin/packages/kripke/package.py:6: [F403] 'from spack.pkgkit import *' used; unable to detect undefined names
./var/spack/repos/builtin/packages/kripke/package.py:25: [E501] line too long (88 > 79 characters)
~/Workspace/Projects/spack/spack refactor-flake8*
1 ❯ flake8 --format=spack ./var/spack/repos/builtin/packages/kripke/package.py
~/Workspace/Projects/spack/spack refactor-flake8*
❯ flake8 ./var/spack/repos/builtin/packages/kripke/package.py
```
* qa/flake8: update .flake8, spack formatter plugin
Adds:
* Modern flake8 settings for per-path/glob error ignores, allows
packages to use the same `.flake8` as the rest of spack
* A spack formatter plugin to flake8 that implements the behavior of
`spack flake8` for direct invocations. Makes integration with
developer tooling nicer, linting with flake8 reports only errors that
`spack flake8` would report. Using pyls and pyls-flake8, or any other
non-format-dependent flake8 integration, now works with spack's rules.
* qa/flake8: allow star import of spack.pkgkit
To get working completion of directives and spack components it's
necessary to import the contents of spack.pkgkit. At the moment doing
this makes flake8 displeased. For now, allow spack.pkgkit and spack
both, next step is to ban spack * and require spack.pkgkit *.
* first cut at refactoring spack flake8
This version still copies all of the files to be checked as befire, and
some other things that probably aren't necessary, but it relies on the
spack formatter plugin to implement the ignore logic.
* keep flake8 from rejecting itself
* remove separate packages flake8 config
* fix failures from too many files
I ran into this in the PR converting pkgkit to std. The solution in
that branch does not work in all cases as it turns out, and all the
workarounds I tried to use generated configs to get a single invocation
of flake8 with a filename optoion to work failed. It's an astonishingly
frustrating config option.
Regardless, this removes all temporary file creation from the command
and relies on the plugin instead. To work around the huge number of
files in spack and still allow the command to control what gets checked,
it scans files in batches of 100. This is a completely arbitrary number
but was chosen to be safely under common line-length limits. One
side-effect of this is that every 100 files the command will produce
output, rather than only at the end, which doesn't seem like a terrible
thing.
Continuing to convert everything in `asp.py` into facts, make the
generation of ground rules for conditional dependencies use facts, and
move the semantics into `concretize.lp`.
This is probably the most complex logic in Spack, as dependencies can be
conditional on anything, and we need conditional ASP rules to accumulate
and map all the dependency conditions to spec attributes.
The logic looks complicated, but essentially it accumulates any
constraints associated with particular conditions into a fact associated
with the condition by id. Then, if *any* condition id's fact is True, we
trigger the dependency.
This simplifies the way `declared_dependency()` works -- the dependency
is now declared regardless of whether it is conditional, and the
conditions are handled by `dependency_condition()` facts.
There are currently no places where we do not want to traverse
dependencies in `spec_clauses()`, so simplify the logic by consolidating
`spec_traverse_clauses()` with `spec_clauses()`.
`version_satisfies/2` and `node_compiler_version_satisfies/3` are
generated but need `#defined` directives to avoid " info: atom does not
occur in any rule head:" warnings.
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>
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
I was keeping the old `clingo` driver code around in case we had to run
using the command line tool instad of through the Python interface.
So far, the command line is faster than running through Python, but I'm
working on fixing that. I found that if I do this:
```python
control = clingo.Control()
control.load("concretize.lp")
control.load("hdf5.lp") # code from spack solve --show asp hdf5
control.load("display.lp")
control.ground([("base", [])])
control.solve(...)
```
It's just as fast as the command line tool. So we can always generate the
code and load it manually if we need to -- we don't need two drivers for
clingo. Given that the python interface is also the only way to get unsat
cores, I think we pretty much have to use it.
So, I'm removing the old command line driver and other unused code. We
can dig it up again from the history if it is needed.
This fixes a logging error observed on macOS 11.0.1 (Big Sur).
When performing a Spack install in debugging mode (e.g.
`spack -d install py-scipy`) Spack is supposed to write a log of
compiler wrapper command line invocations to the current working
directory.
Due to a regression error introduced by #18205, these files were
no-longer generated, and Spack was printing errors such as
"No such file or directory: None/." This is because the log file
directory gets set from `spack.main.spack_working_dir`, but that
variable is not set in the spawned process.
This PR ensures that the working directory (at the time of the
"spack install" invocation) is persisted to the subprocess.
Track all the variant values mentioned when emitting constraints, validate them
and emit a fact that allows them as possible values.
This modification ensures that open-ended variants (variants accepting any string
or any integer) are projected to the finite set of values that are relevant for this
concretization.
Other parts of the concretizer code build up lists of things we can't
know without traversing all specs and packages, and they output these
list at the very end.
The code for this for variant values from spec literals was intertwined
with the code for traversing the input specs. This only covers the input
specs and misses variant values that might come from directives in
packages.
- [x] move ad-hoc value handling code into spec_clauses so we do it in
one place for CLI and packages
- [x] move handling of `variant_possible_value`, etc. into
`concretize.lp`, where we can automatically infer variant existence
more concisely.
- [x] simplify/clarify some of the code for variants in `spec_clauses()`
* [cmd versions] add spack versions --new flag to only fetch new versions
format
[cmd versions] rename --latest to --newest and add --remote-only
[cmd versions] add tests for --remote-only and --new
format
[cmd versions] update shell tab completion
[cmd versions] remove test for --remote-only --new which gives empty output
[cmd versions] final rename
format
* add brillig mock package
* add test for spack versions --new
* [brillig] format
* [versions] increase test coverage
* Update lib/spack/spack/cmd/versions.py
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
* Update lib/spack/spack/cmd/versions.py
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
* allow install of build-deps from cache via --include-build-deps switch
* make clear that --include-build-deps is useful for CI pipeline troubleshooting
fixes#20055
Compiler with custom versions like gcc@foo are not currently
matched to the appropriate targets. This is because the
version of spec doesn't match the "real" version of the
compiler.
This PR replicates the strategy used in the original
concretizer to deal with that and tries to detect the real
version of compilers if the version in the spec returns no
results.
* AOCC-2.3.0 is now added to spack
Change-Id: I18fd9606e6fd9a288cc7dc6c6ead11ea17839a7c
* Added flag and version tests for AOCC-2.3.0
* Addressed review comments
Co-authored-by: vkallesh <Vijay-teekinavar.Kallesh@amd.com>
fixes#20040
Matching compilers among nodes has been prioritized
in #20020. Selection of default variants has been
tuned in #20182. With this setup there is no need
to have an ad-hoc rule for external packages. On
the contrary it should be removed to prefer having
default variant values over more external nodes in
the DAG.
refers #20040
Before this PR optimization rules would have selected default
providers at a higher priority than default variants. Here we
swap this priority and we consider variants that are forced by
any means (root spec or spec in depends_on clause) the same as
if they were with a default value.
This prevents the solver from avoiding expected configurations
just because they contain directives like:
depends_on('pkg+foo')
and `+foo` is not the default variant value for pkg.
fixes#19981
This commit adds support for target ranges in directives,
for instance:
conflicts('+foo', when='target=x86_64:,aarch64:')
If any target in a spec body is not a known target the
following clause will be emitted:
node_target_satisfies(Package, TargetConstraint)
when traversing the spec and a definition of
the clause will then be printed at the end similarly
to what is done for package and compiler versions.
fixes#20019
Before this modification having a newer version of a node came
at higher priority in the optimization than having matching
compilers. This could result in unexpected configurations for
packages with conflict directives on compilers of the type:
conflicts('%gcc@X.Y:', when='@:A.B')
where changing the compiler for just that node is preferred to
lower the node version to less than 'A.B'. Now the priority has
been switched so the solver will try to lower the version of the
nodes in question before changing their compiler.
refers #20079
Added docstrings to 'concretize' and 'concretized' to
document the format for tests.
Added tests for the activation of test dependencies.
refers #20040
This modification emits rules like:
provides_virtual("netlib-lapack","blas") :- variant_value("netlib-lapack","external-blas","False").
for packages that provide virtual dependencies conditionally instead
of a fact that doesn't account for the condition.
This PR fixes two problems with clang/llvm's version detection. clang's
version output looks like this:
```
clang version 11.0.0
Target: x86_64-unknown-linux-gnu
```
This caused clang's version to be misdetected as:
```
clang@11.0.0
Target:
```
This resulted in errors when trying to actually use it as a compiler.
When using `spack external find`, we couldn't determine the compiler
version, resulting in errors like this:
```
==> Warning: "llvm@11.0.0+clang+lld+lldb" has been detected on the system but will not be added to packages.yaml [reason=c compiler not found for llvm@11.0.0+clang+lld+lldb]
```
Changing the regex to only match until the end of the line fixes these
problems.
Fixes: #19473
This adds a new `mark` command that can be used to mark packages as either
explicitly or implicitly installed. Apart from fixing the package
database after installing a dependency manually, it can be used to
implement upgrade workflows as outlined in #13385.
The following commands demonstrate how the `mark` and `gc` commands can be
used to only keep the current version of a package installed:
```console
$ spack install pkgA
$ spack install pkgB
$ git pull # Imagine new versions for pkgA and/or pkgB are introduced
$ spack mark -i -a
$ spack install pkgA
$ spack install pkgB
$ spack gc
```
If there is no new version for a package, `install` will simply mark it as
explicitly installed and `gc` will not remove it.
Co-authored-by: Greg Becker <becker33@llnl.gov>
Users can add test() methods to their packages to run smoke tests on
installations with the new `spack test` command (the old `spack test` is
now `spack unit-test`). spack test is environment-aware, so you can
`spack install` an environment and then run `spack test run` to run smoke
tests on all of its packages. Historical test logs can be perused with
`spack test results`. Generic smoke tests for MPI implementations, C,
C++, and Fortran compilers as well as specific smoke tests for 18
packages.
Inside the test method, individual tests can be run separately (and
continue to run best-effort after a test failure) using the `run_test`
method. The `run_test` method encapsulates finding test executables,
running and checking return codes, checking output, and error handling.
This handles the following trickier aspects of testing with direct
support in Spack's package API:
- [x] Caching source or intermediate build files at build time for
use at test time.
- [x] Test dependencies,
- [x] packages that require a compiler for testing (such as library only
packages).
See the packaging guide for more details on using Spack testing support.
Included is support for package.py files for virtual packages. This does
not change the Spack interface, but is a major change in internals.
Co-authored-by: Tamara Dahlgren <dahlgren1@llnl.gov>
Co-authored-by: wspear <wjspear@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
The deprecatedProperties custom validator now can accept a function
to compute a better error message.
Improve error/warning message for deprecated properties
As of #18260, `spack load` and `spack env activate` now use
`prefix_inspections` from the modules configuration to decide
how to modify environment variables.
This updates the modules configuration documentation to describe
how to update environment variables with the `prefix_inspections`
section. This also updates the `spack load` and environments
documentation to refer to the new `prefix_inspections` documentation.
`spack load` and `spack env activate` now use the prefix inspections
defined in `modules.yaml`. This allows users to customize/override
environment variable modifications if desired.
If no `prefix_inspections` configuration is present, Spack uses the
values in the default configuration.
This PR reworks a few attributes in the container subsection of
spack.yaml to permit the injection of custom base images when
generating containers with Spack. In more detail, users can still
specify the base operating system and Spack version they want to use:
spack:
container:
images:
os: ubuntu:18.04
spack: develop
in which case the generated recipe will use one of the Spack images
built on Docker Hub for the build stage and the base OS image in the
final stage. Alternatively, they can specify explicitly the two
base images:
spack:
container:
images:
build: spack/ubuntu-bionic:latest
final: ubuntu:18.04
and it will be up to them to ensure their consistency.
Additional changes:
* This commit adds documentation on the two approaches.
* Users can now specify OS packages to install (e.g. with apt or yum)
prior to the build (previously this was only available for the
finalized image).
* Handles to avoid an update of the available system packages have been
added to the configuration to facilitate the generation of recipes
permitting deterministic builds.
This commit address the case of concretizing a root spec with a
transitive conditional dependency on a virtual package, provided
by an external. Before these modifications default variant values
for the dependency bringing in the virtual package were not
respected, and the external package providing the virtual was added
to the DAG.
The issue stems from two facts:
- Selecting a provider has higher precedence than selecting default variants
- To ensure that an external is preferred, we used a negative weight
To solve it we shift all the providers weight so that:
- External providers have a weight of 0
- Non external provider have a weight of 10 or more
Using a weight of zero for external providers is such that having
an external provider, if present, or not having a provider at all
has the same effect on the higher priority minimization.
Also fixed a few minor bugs in concretize.lp, that were causing
spurious entries in the final answer set.
Cleaned concretize.lp from leftover rules.
If a the default of a multi-valued variant is set to
multiple values either in package.py or in packages.yaml
we need to ensure that all the values are present in the
concretized spec.
Since each default value has a weight of 0 and the
variant value is set implicitly by the concretizer
we need to add a rule to maximize on the number of
default values that are used.
This commit introduces a new rule:
real_node(Package) :- not external(Package), node(Package).
that permits to distinguish between an external node and a
real node that shouldn't trim dependency. It solves the
case of concretizing ninja with an external Python.
`node_compiler_hard()` means that something explicitly asked for a node's
compiler to be set -- i.e., it's not inherited, it's required. We're
generating this in spec_clauses even for specs in rule bodies, which
results in conditions like this for optional dependencies:
In py-torch/package.py:
depends_on('llvm-openmp', when='%apple-clang +openmp')
In the generated ASP:
declared_dependency("py-torch","llvm-openmp","build")
:- node("py-torch"),
variant_value("py-torch","openmp","True"),
node_compiler("py-torch","apple-clang"),
node_compiler_hard("py-torch","apple-clang"),
node_compiler_version_satisfies("py-torch","apple-clang",":").
The `node_compiler_hard` there means we would have to *explicitly* set
py-torch's compiler to trigger the llvm-openmp dependency, rather than
just letting it be set by preferences. This is wrong; the dependency
should be there regardless of how the compiler was set.
- [x] remove fn.node_compiler_hard() call from spec_clauses when
generating rule body clauses.
If the version list passed to one_of_iff is empty, it still generates a
rule like this:
node_compiler_version_satisfies("fujitsu-mpi", "arm", ":") :- 1 { } 1.
1 { } 1 :- node_compiler_version_satisfies("fujitsu-mpi", "arm", ":").
The cardinality rules on the right and left above are never
satisfiale, and these rules do nothing.
- [x] Skip generating any rules at all for empty version lists.
As reported, conflicts with compiler ranges were not treated
correctly. This commit adds tests to verify the expected behavior
for the new concretizer.
The new rules to enforce a correct behavior involve:
- Adding a rule to prefer the compiler selected for
the root package, if no other preference is set
- Give a strong negative weight to compiler preferences
expressed in packages.yaml
- Maximize on compiler AND compiler version match
Variant of this kind don't have a list of possible
values encoded in the ASP facts. Since all we have
is a validator the list of possible values just includes
just the default value and possibly the value passed
from packages.yaml or cli.
This is done after the builder has actually built
the specs, to respect the semantics use with the
old concretizer.
Later we could move this to the solver as
a multivalued variant.
This is done after the builder has actually built
the specs, to respect the semantics use with the
old concretizer.
A better approach is to substitute the spec
directly in concretization.
The "none" variant value cannot be combined with
other values.
The '*' wildcard matches anything, including "none".
It's thus relevant in queries, but disregarded in
concretization.
- The test on concretization of anonymous dependencies
has been fixed by raising the expected exception.
- The test on compiler bootstrap has been fixed by
updating the version of GCC used in the test.
Since gcc@2.0 does not support targets later than
x86_64, the new concretizer was looking for a
non-existing spec, i.e. it was correctly trying
to retrieve 'gcc target=x86_64' instead of
'gcc target=core2'.
- The test on gitlab CI needed an update of the target
This commit adds support for specifying rules in
packages.yaml that refer to virtual packages.
The approach is to normalize in memory each
configuration and turn it into an equivalent
configuration without rules on virtual. This
is possible if the set of packages to be handled
is considered fixed.
The weight of the target used in concretization is, in order:
1. A specific per package weight, if set in packages.yaml
2. Inherited from the parent, if possible
3. The default target weight (always set)
Generate facts on externals by inspecting
packages.yaml. Added rules in concretize.lp
Added extra logic so that external specs
disregard any conflict encoded in the
package.
In ASP this would be a simple addition to
an integrity constraint:
:- c1, c2, c3, not external(pkg)
Using the the Backend API from Python it
requires some scaffolding to obtain a default
negated statement.
Conflict rules from packages are added as integrity
constraints in the ASP formulation. Most of the code
to generate them has been reused from PyclingoDriver.rules
The new concretizer and the old concretizer solve constraints
in a different way. Here we ensure that a SpackError is raised,
instead of a specific error that made sense in the old concretizer
but probably not in the new.
Instead of python callbacks, use cardinality constraints for package
versions. This is slightly faster and has the advantage that it can be
written to an ASP program to be executed *outside* of Spack. We can use
this in the future to unify the pyclingo driver and the clingo text
driver.
This makes use of add_weight_rule() to implement cardinality constraints.
add_weight_rule() only has a lower bound parameter, but you can implement
a strict "exactly one of" constraint using it. In particular, wee want to
define:
1 {v1; v2; v3; ...} 1 :- version_satisfies(pkg, constraint).
version_satisfies(pkg, constraint) :- 1 {v1; v2; v3; ...} 1.
And we do that like this, for every version constraint:
atleast1(pkg, constr) :- 1 {version(pkg, v1); version(pkg, v2); ...}.
morethan1(pkg, constr) :- 2 {version(pkg, v1); version(pkg, v2); ...}.
version_satisfies(pkg, constr) :- atleast1, not morethan1(pkg, constr).
:- version_satisfies(pkg, constr), morethan1.
:- version_satisfies(pkg, constr), not atleast1.
v1, v2, v3, etc. are computed on the Python side by comparing every
possible package version with the constraint.
Computing things like this has the added advantage that if v1, v2, v3,
etc. comprise *all* possible versions of a package, we can just omit the
rules for the constraint under consideration. This happens pretty
frequently in the Spack mainline.
- [x] Solver now uses the Python interface to clingo
- [x] can extract unsatisfiable cores from problems when things go wrong
- [x] use Python callbacks for versions instead of choice rules (this may
ultimately hurt performance)
There are now three parts:
- `SpackSolverSetup`
- Spack-specific logic for generating constraints. Calls methods on
`AspTextGenerator` to set up the solver with a Spack problem. This
shouln't change much from solver backend to solver backend.
- ClingoDriver
- The solver driver provides methods for SolverSetup to generates an ASP
program, send it to `clingo` (run as an external tool), and parse the
output into function tuples suitable for `SpecBuilder`.
- The interface is generic and should not have to change much for a
driver for, say, the Clingo Python interface.
- SpecBuilder
- Builds Spack specs from function tuples parsed by the solver driver.
The original implementation was difficult to read, as it only had
single-letter variable names. This converts all of them to descriptive
names, e.g., P -> Package, V -> Virtual/Version/Variant, etc.
To handle unknown compilers propely in tests (and elsewhere), we need to
add unknown compilers from the spec to the list of possible compilers.
Rework how the compiler list is generated and includes compilers from
specs if the existence check is disabled.
Specs like hdf5 ^mpi were unsatisfiable because we added a requierment
for `node("mpi").`. This can't be resolved because "mpi" is not a
package.
- [x] Introduce `virtual_node()`, which says *some* provider must be in
the DAG.
This adds compiler flags to the ASP solve so that we can have conditions
based on them in the solve. But, it keeps order out of the solve to
avoid unneeded complexity and combinatorial explosions.
The solver determines which flags are on a spec, but the order is
determined by DAG precedence (childrens' flags take precedence over
parents' and are added on the right) and order (order flags were
specified on the command line is respected).
The solver is responsible for determining when to propagate flags, when
to inheit them from other nodes, when to take them from compiler
preferences, etc.
Weight microarchitectures and prefers more rercent ones. Also disallow
nodes where the compiler does not support the selected target.
We should revisit this at some point as it seems like if I play around
with the compiler support for different architectures, the solver runs
very slowly. See notes in comments -- the bad case was gcc supporting
broadwell and skylake with clang maxing out at haswell.
We didn't have a cardinality constraint for multi-valued variants, so the
solver wasn't filling them in.
- [x] add a requirement for at least one value for multi-valued variants
Variants like `cpu_target` on `openblas` don't have defineed values, but
they have a default. Ensure that the default is always a possible value
for the solver.
Spack was generating the same dependency connstraints twice in the output ASP:
```
declared_dependency("abinit", "hdf5", "link")
:- node("abinit"),
variant_value("abinit", "mpi", "True"),
variant_value("abinit", "mpi", "True").
```
This was because `AspFunction` was modifying itself when called.
- [x] fix `AspFunction` so that every call returns a new object
- [x] Add support for packages.yaml and command-line compiler preferences.
- [x] Rework compiler version propagation to use optimization rather than
hard logic constraints
Technically the ASP output order does not matter, but it's hard to diff
two different solve fomulations unless we order it.
- [x] make sure ASP output is emitted in a deterministic order (by
sorting all hash keys)
This needs more thought, as I am pretty sure the weights are not correct.
Or, at least, I'm not convinced that they do what we want in all cases.
See note in concretize.lp.
Solver now prefers newer versions like the old concretizer. Prefer
package preferences from packages.yaml, preferred=True, package
definition, and finally each version itself.
Competition output only prints out one model, so we do not have to
unnecessarily parse all the non-optimal models. We'll just look at the
best model and bring that in.
In practice, this saves a lot of JSON parsing and spec construction time.
Clingo actually has an option to output JSON -- use that instead of
parsing the raw otuput ourselves.
This also allows us to pick the best answer -- modify the parser to
*only* construct a spec for that one rather than building all of them
like we did before.
- Instead of using default logic, handle variant defaults by minimizing
the number of non-default variants in the solution.
- This actually seems to be pretty fast, and it fixes the long-standing
issue that writing this:
spack install hdf5 ^mpich
will fail if you don't specify hdf5+mpi. With optimization and
allowing enums to be enumerated, the solver seems to be able to quickly
discover that +mpi is the only way hdf5 can depend on mpich, and it
forces the switch to be thrown.
Use '1 { version(x); version(y); version(z) } 1.' instead of declaring
conflicts for non-matching versions. This keeps the sense of version
clauses positive, which will allow them to be used more easily in
conditionals later.
Also refactor `spec_clauses()` method to return clauses that can be used
in conditions, etc. instead of just printing out facts.
- This handles setting the compiler and falling back to a default
compiler, as well as providing default values for compilers/compiler
versions.
- Versions still aren't quite right -- you can't properly override
versions on compiler specs.
- Model architecture default settings and propagation off of variants
- Leverage ASP default logic to set architecture to default if it's not
set otherwise.
- Move logic out of Python and into concretize.lp as first-order rules.
We are relying on default logic in the variant handling in that we set a
default value if we never see `variant_set(P, V, X)`.
- Move the logic for this into `concretize.lp` instead of generating it
for every package.
- For programs that don't have explicit variant settings, clingo warns
that variant_set(P, V, X) doesn't appear in any rule head, because a
setting is never generated.
- Specifically suppress this warning.
- moving the dump logic into spack.solver.asp.solve() allows us to print
out useful debug info sooner
- prior approach required a successful solve to print out anyhting.
According to the documentation for spack and pkg-config,
$view/share/pkgconfig should also be a valid place to look
for package config files. This commit ensures that when
spack activate env $dir is called, the environment has this
directory in PKG_CONFIG_PATH.
As of #13100, Spack installs the dependencies of a _single_ spec in parallel.
Environments, when installed, can only get parallelism from each individual
spec, as they're installed in order. This PR makes entire environments build
in parallel by extending Spack's package installer to accept multiple root
specs. The install command and Environment class have been updated to use
the new parallel install method.
The specs and kwargs for each *uninstalled* package (when not force-replacing
installations) of an environment are collected, passed to the `PackageInstaller`,
and processed using a single build queue.
This introduces a `BuildRequest` class to track install arguments, and it
significantly cleans up the code used to track package ids during installation.
Package ids in the build queue are now just DAG hashes as you would expect,
Other tasks:
- [x] Finish updating the unit tests based on `PackageInstaller`'s use of
`BuildRequest` and the associated changes
- [x] Change `environment.py`'s `install_all` to use the `PackageInstaller` directly
- [x] Change the `install` command to leverage the new installation process for multiple specs
- [x] Change install output messages for external packages, e.g.:
`[+] /usr` -> `[+] /usr (external bzip2-1.0.8-<dag-hash>`
- [x] Fix incomplete environment install's view setup/update and not confirming all
packages are installed (?)
- [x] Ensure externally installed package dependencies are properly accounted for in
remaining build tasks
- [x] Add tests for coverage (if insufficient and can identity the appropriate, uncovered non-comment lines)
- [x] Add documentation
- [x] Resolve multi-compiler environment install issues
- [x] Fix issue with environment installation reporting (restore CDash/JUnit reports)
This change makes improvements to the `spack ci rebuild` command
which supports running gitlab pipelines on PRs from forks. Much
of this has to do with making sure we can run without the secrets
previously required for running gitlab pipelines (e.g signing key,
aws credentials, etc). Specific improvements in this PR:
Check if spack has precisely one signing key, and use that information
as an additional constraint on whether or not we should attempt to sign
the binary package we create.
Also, if spack does not have at least one public key, add the install
option "--no-check-signature"
If we are running a pipeline without any profile or environment
variables allowing us to push to S3, the pipeline could still
successfully create a buildcache in the artifacts and move on. So
just print a message and move on if pushing either the buildcache
entry or cdash id file to the remote mirror fails.
When we attempt to generate a pacakge or gpg key index on an S3
mirror, and there is nothing to index, just print a warning and
exit gracefully rather than throw an exception.
Support the use of PR-specific mirrors for temporary binary pkg
storage. This will allow quality-of-life improvement for developers,
providing a place to store binaries over the lifetime of a PR, so
that they must only wait for packages to rebuild from source when
they push a new commit that causes it to be necessary.
Replace two-pass install with a single pass and the new option:
--require-full-hash-match. Doing this also removes the need to
save a copy of the spack.yaml to be copied over the one spack
rewrites in between the two spack install passes.
Work around a mirror configuration issue caused by using
spack.util.executable to do the package installation.
* Update pipeline trigger jobs for PRs from forks
Moving to PRs from forks relies on external synchronization script
pushing special branch names. Also secrets will only live on the
spack mirror project, and must be propagated to the E4S project via
variables on the trigger jobs.
When this change is merged, pipelines will not run until we update
the "Custom CI configuration path" in the Gitlab CI Settings, as the
name of the file has changed to better reflect its purpose.
* Arg to MirrorCollection is used exclusively, so add main remote mirror to it
* Compute full hash less frequently
* Add tests covering index generation error handling code
Since #11598 sbang has been installed within the install_tree. This doesn’t play
nicely with install_tree padding, since sbang can’t do its job if it is installed in a
long path (this is the whole point of sbang).
This PR changes the padding specification. Instead of $padding inside paths,
we now have a separate `padding:` field in the `install_tree` configuration.
Previously, the `install_tree` looked like this:
```
/path/to/opt/spack_padding_padding_padding_padding_padding/
bin/
sbang
.spack-db/
...
linux-rhel7-x86_64/
...
```
```
This PR updates things to look like this:
/path/to/opt/
bin/
sbang
spack_padding_padding_padding_padding_padding/
.spack-db/
...
linux-rhel7-x86_64/
...
So padding is added at the start of all install prefixes *within* the unpadded
root. The database and all installations still go under the padded root.
This ensures that `sbang` is in the shorted possible path while also allowing
us to make long paths for relocatable binaries.
As of #18205, all packages must be pickle-able to be installed by
Spack.
This adds a test to check that each package can be pickled. If any
package fails to pickle, the test keeps going and collects the names
of all failed packages; it then takes the first one that failed and
attempts to re-pickle it, generating the full stack trace for the
failed pickle attempt.
Spack creates a separate process to do package installation. Different
operating systems and Python versions use different methods to create
it but up until Python 3.8 both Linux and Mac OS used "fork" (which
duplicates process memory, file descriptor table, etc.).
Python >= 3.8 on Mac OS prefers creating an entirely new process
(referred to as the "spawn" start method) because "fork" was found to
cause issues (in other words "spawn" is the default start method used
by multiprocessing.Process). Spack was dependent on the particular
behavior of fork to replicate process memory and transmit file
descriptors.
This PR refactors the Spack internals to support starting a child
process with the "spawn" method. To achieve this, it makes the
following changes:
- ensure that the package repository and other global state are
transmitted to the child process
- ensure that file descriptors are transmitted to the child process in
a way that works with multiprocessing and spawn
- make all the state needed for the build process and tests picklable
(package, stage, etc.)
- move a number of locally-defined functions into global scope so that
they can be pickled
- rework tests where needed to avoid using local functions
This PR also reworks sbang tests to work on macOS, where temporary
directories are deeper than the Linux sbang limit. We make the limit
platform-dependent (macOS supports 512-character shebangs)
See: #14102
In compiler bootstrapping pipelines, we add an artificial dependency
between jobs for packages to be built with a bootstrapped compiler
and the job building the compiler. To find the right bootstrapped
compiler for each spec, we compared not only the compiler spec to
that required by the package spec, but also the architectures of
the compiler and package spec.
But this prevented us from finding the bootstrapped compiler for a
spec in cases where the architecture of the compiler wasn't exactly
the same as the spec. For example, a gcc@4.8.5 might have
bootstrapped a compiler with haswell as the architecture, while the
spec had broadwell. By comparing the families instead of the architecture
itself, we know that we can build the zlib for broadwell with the gcc for
haswell.
Currently, full JSON output is the only machine readable option for `spack find`
in an environment.
`spack find --format` is also designed to be machine readable, but we print extra
headers in environments.
-[x] don't print headers in `spack find` output when in an environment
When invoking "buildcache list" multiple times, the command was
reporting no specs in the cache the second time around. The
presence of an up-to-date index was causing the internal
representation to be left un-initialized.
Added a command to set up Spack for our tutorial at
https://spack-tutorial.readthedocs.io.
The command does some common operations we need first-time users to do.
Specifically:
- checks out a particular branch of Spack
- deletes spurious configuration in `~/.spack` that might be
left over from prior parts of the tutorial
- adds a mirror and trusts its public key
Previously, we hardcoded a list of Spack versions which could be used by the containerize command.
This PR removes that list. It's a maintenance burden when cutting a release, and prevents older versions of Spack from creating containers to be used by newer versions.
There was an error introduced in #19209 where `full_hash()` and
`build_hash()` are called on older specs that we've read in from the DB;
older specs may not be able to compute these hashes (e.g. if they have
removed patches used in computing the full_hash).
When serializing a Spec, we want to generate the full/build hash when
possible, but we need a mechanism to skip it for Specs that have
themselves been read from YAML (and may not support this).
To get around this ambiguity and to fix the issue, we:
- Add an attribute to the spec called `_hashes_final`, that is `True`
if we can't lazily compute `build_hash` and `full_hash`.
- Set `_hashes_final` to `False` for new specs (i.e., lazily
computing hashes is ok)
- Set `_hashes_final` to `True` for concrete specs read in via
`from_node_dict`, as it may be too late to recompute hashes.
- Compute and write out all hashes in `node_dict_with_hashes` *if
possible*.
Effectively what this means is that we can round-trip specs that are
missing `_build_hash` and `_full_hash` without recomputing them, but for
all new specs, we'll compute them and store them. So Spack should work
fine with old DBs now.
This fixes sbang relocation when using old binary packages, and updates
code in `relocate.py`.
There are really two places where we would want to handle an `sbang`
relocation:
1. Installing an old package that uses `sbang` with shebang lines like
`#!/bin/bash $spack_prefix/sbang`
2. Installing a *new* package that uses `sbang` with shebang lines like
`#!/bin/sh $install_tree/sbang`
The second case is actually handled automatically by our text relocation;
we don't need any special relocation logic for new shebangs, as our
relocation logic already changes references to the build-time
`install_tree` to point to the `install_tree` at intall-time.
Case 1 was not properly handled -- we would not take an old binary
package and point its shebangs at the new `sbang` location. This PR fixes
that and updates the code in `relocation.py` with some notes.
There is one more case we don't currently handle: if a binary package is
created from an installation in a short prefix that does *not* need
`sbang` and is installed to a long prefix that *does* need `sbang`, we
won't do anything. We should just patch the file as we would for a normal
install. In some upcoming PR we should probably change *all* `sbang`
relocation logic to be idempotent and to apply to any sort of shebang'd
file. Then we'd only have to worry about which files to `sbang`-ify at
install time and wouldn't need to care about these special cases.
fixes#15183
- Moved the container related content from
workflows.rst into containers.rst
- Deleted the docker_for_developers.rst file,
since it describes an outdated procedure
Co-authored-by: Axel Huebl <a.huebl@hzdr.de>
Co-authored-by: Omar Padron <omar.padron@kitware.com>
`config.get_config` now caches the results and returns the same
configuration if called multiple times with the same arguments
(i.e. the same section and scope).
As a consequence, it is expected that users will always call
update methods provided in the `config` module after changing
the configuration (even if manipulating it as a Python nested
dictionary). The following two examples should cover most
scenarios:
* Most configuration update logic in the core (e.g. relating to
adding new compiler) should call `Configuration.update_config`
* Tests that need to change the global configuration should use the
newly-provided `config.replace_config` function.
(if neither of these methods apply, then the essential requirement
is to use a method marked as `_config_mutator`)
Failure to call such a function after modifying the configuration
will lead to unexpected results (e.g. calling `get_config` after
changing the configuration will not reflect the changes since the
first call to get_config).
* "spack install" now has a "--require-full-hash-match" option, which
forces Spack to skip an available binary package when the full hash
doesn't match. Normally only a DAG-hash match is required, which
ensures equivalent Specs, but does not account for changing logic
inside the associated package.
* Add a local binary cache index which tracks specs that have a binary
install available in a remote binary cache. It is updated with
"spack buildcache list" or for a given spec when a binary package
is retrieved for that Spec.
Spack has a fallback for hash checking with m55sums that may not be
supported in earlier versions of Python 3.x. The comments in the
Spack code acknowledge that this is best effort and may fail, but
recent vermin checks (running as part of our CI) reject this. This
disables vermin checks for that fallback.
* enable flatcc to be built with gcc/9.X.X
* add static option for building libyogrt
* cleanup
* Initial working version
* rework new oneapi wrappers
* tested and removed my initials from source
* cleanup
* Update __init__.py
* remove whitespace
* working now with mods for testing, detection. Detection for oneapi is working, but entry needs to be modified to add link path for libimf.so. Cleared cruft for old Intel versions
* fixed some formatting
* cleanup
* flake8 cleanup
* flake8
* fixed syntax of compiler version detection tests
* fixed syntax of compiler version detection tests
modified: detection.py
* fix typo
* fixes for compilers tests
* remove erroneous tests for outdated -std= flags, remove ifx version check (output won't parse)
Co-authored-by: Frank Willmore <willmore@anl.gov>
`sbang` now lives at https://github.com/spack/sbang, and it has its own
test suite that's more extensive than what's in Spack. We'll leave sbang
tests to sbang from now on, and just vendor `bin/sbang` directly.
Remaining `sbang` tests have to do with patching files, not with
`sbang`'s functionality.
This update also fixes a bug with `sbang` and multiple command line
arguments that was introduced in #19529. See:
* https://github.com/spack/sbang/pull/1
* https://github.com/spack/sbang/pull/2
- [x] include latest `sbang` from https://github.com/spack/sbang
- [x] remove old `sbang` tests from Spack
- [x] update `COPYRIGHT` and `cmd/license.py`
`sbang` was previously a bash script but did not need to be. This
converts it to a plain old POSIX shell script and adds some options. This
also allows us to simplify sbang shebangs to `#!/bin/sh /path/to/sbang`
instead of `#!/bin/bash /path/to/sbang`.
The new script passes shellcheck (with a few exceptions noted in the file)
- [x] `SBANG_DEBUG` env var enables printing what *would* be executed
- [x] `sbang` checks whether it has been passed an option and fails gracefully
- [x] `sbang` will now fail if it can't find a second shebang line, or if
the second line happens to be sbang (avoid infinite loops)
- [x] add more rigorous tests for `sbang` behavior using `SBANG_DEBUG`
PHP supports an initial shebang, but its comment syntax can't handle our 2-line
shebangs. So, we need to embed the 2nd-line shebang comment to look like a
PHP comment:
<?php #!/path/to/php ?>
This adds patching support to the sbang hook and support for
instrumenting php shebangs.
This also patches `phar`, which is a tool used to create php packages.
`phar` itself has to add sbangs to those packages (as phar archives
apparently contain UTF-8, as well as binary blobs), and `phar` sets a
checksum based on the contents of the package.
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
`sbang` is not always accessible to users of packages, e.g., if Spack
is installed in someone's home directory and they deploy software
for others. Avoid this by:
1. Always installing the `sbang` script in the `install_tree`
2. Relocating binaries to point to the copy in the `install_tree`
and not the one in the Spack installation.
This PR also:
- ensures that `sbang` is reinstalled if it is modified in Spack
- adds tests
- updates the way `gobject-introspection` patches Makefiles
to support `sbang`
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
The logic in `config.py` merges lists correctly so that list elements
from higher-precedence config files come first, but the way we merge
`dict` elements reverses the precedence.
Since `mirrors.yaml` relies on `OrderedDict` for precedence, this bug
causes mirrors in lower-precedence config scopes to be checked before
higher-precedence scopes.
We should probably convert `mirrors.yaml` to use a list at some point,
but in the meantie here's a fix for `OrderedDict`.
- [x] ensuring that keys are ordered correctly in `OrderedDict` by
re-inserting keys from the destination `dict` after adding the keys from
the source `dict`.
- [x] also simplify the logic in `merge_yaml` by always reinserting
common keys -- this preserves mark information without all the special
cases, and makes it simpler to preserve insertion order.
Assuming a default spack configuration, if we run this:
```console
$ spack mirror add foo https://bar.com
```
Results before this change:
```console
$ spack config blame mirrors
--- mirrors:
/Users/gamblin2/src/spack/etc/spack/defaults/mirrors.yaml:2 spack-public: https://spack-llnl-mirror.s3-us-west-2.amazonaws.com/
/Users/gamblin2/.spack/mirrors.yaml:2 foo: https://bar.com
```
Results after:
```console
$ spack config blame mirrors
--- mirrors:
/Users/gamblin2/.spack/mirrors.yaml:2 foo: https://bar.com
/Users/gamblin2/src/spack/etc/spack/defaults/mirrors.yaml:2 spack-public: https://spack-llnl-mirror.s3-us-west-2.amazonaws.com/
```
Shell integration no longer requires setting `SPACK_ROOT`, so we can
simplify the documentation on it. The docs on shell support and using
packages are getting a bit old, and information on `spack load` (which
seems to be everyone's most common way of using packages) is hard to
find.
This PR simplifies the shell documentation to remove SPACK_ROOT, and also
moves some sections around for clearer organization.
- [x] make docs on sourcing setup scripts clearer and simpler
- [x] introduce `spack load` early in the basic usage guide instead of
burying it in the module docs
- [x] clean up module docs so that spack module tcl loads comes later
- [x] be clear about the different ways to use packages so that the users
can find the docs better.
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
fixes#19476
Module file content is written to file in a
temporary location and read back to be analyzed
by unit tests.
The approach to patch "open" and write to a
StringIO in memory has been abandoned, since
over time other operations insisting on the
filesystem have been added to the module file
generator.
Synchronization on GitHub macOS runners seems to be very slow, and
frequently the foreground/background tests fail due to the race this
causes. This increases the tolerance for slowness a bit more, to allow up
to 4 spurious output lines in the tests.
This should hopefully result in no more false negatives on these tests
for macOS on GitHub.
* Add recipe for qgraf
* Revert "Add recipe for qgraf"
This reverts commit 76783f73867a32b4a96e980e31a433ed3c0037fd.
* Add qgraf
* Update package.py
Changes from review
* Changes from MR
* Fix for URLs containing @ symbol
Co-authored-by: Ivan Razumov <ivan.razumov@cern.ch>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Adding AOCC compiler to SPACK community
The AOCC compiler system offers a high level of advanced optimizations, multi-threading and processor support that includes global optimization, vectorization, inter-procedural analyses, loop transformations, and code generation. AMD also provides highly optimized libraries, which extract the optimal performance from each x86 processor core when utilized. The AOCC Compiler Suite simplifies and accelerates development and tuning for x86 applications.
* Added unit tests for detection and flags for AOCC
* Addressed reviewers comments w.r.t version checks and url,checksum related line lengths
Co-authored-by: Test User <spack@example.com>
* ADD: testing to dev-build command
* RM: mutally exclusive group for testing in parser
* FIX: test option to subparser and not testing
* ADD: spack-completion.bash
* RM: local devbuildcosmo cmd
* FIX: bad merge --drop-in -b --before options forgotten
* FIX: --test place in spack-completion.bash
* FIX: typo
* FIX: blank line removing
* FIX: trailing white space
Co-authored-by: Elsa Germann <egermann@tsa-ln002.cm.cluster>
The package list at https://spack.readthedocs.io/en/latest/package_list.html claims "it is automatically generated based on the packages in the latest Spack release" but it is actually based on the develop branch. This leads to confusion when users find that e.g. herwigpp is included in the list, but it cannot be found when they install the latest release. That latest release has a package list at https://spack.readthedocs.io/en/stable/package_list.html which does indeed not include herwigpp.
Changing the language from "the latest Spack release" to "this Spack version" might make that clearer. Maybe.
* Add nvhpc compiler definition: "spack compiler add" will now look
for instances of the NVIDIA HPC SDK compiler executables
(nvc, nvc++, nvfortran) in supplied paths
* Add the nvhpc package which installs the nvhpc compiler
* Add testing for nvhpc detection and C++-standard/pic flags
Co-authored-by: Scott McMillan <smcmillan@nvidia.com>
Output was, e.g. `Executables in /bin and /,u,s,r,/,b,i,n are both associated with the same spec xz@5.2.2`, will be `Executables in /bin and /usr/bin are both associated with the same spec xz@5.2.2`.
Previously config.guess and config.sub were patched only
in the root of the source path.
This modification extend the previous behavior to patch every
config.guess or config.sub file even in subfolders, if need be.
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
* allow environments to specify dev-build packages
* spack develop and spack undevelop commands
* never pull dev-build packges from bincache
* reinstall dev_specs when code has changed; reinstall dependents too
* preserve dev info paths and versions in concretization as special variant
* move install overwrite transaction into installer
* move dev-build argument handling to package.do_install
now that specs are dev-aware, package.do_install can add
necessary args (keep_stage=True, use_cache=False) to dev
builds. This simplifies driving logic in cmd and env._install
* allow 'any' as wildcard for variants
* spec: allow anonymous dependencies
raise an error when constraining by or normalizing an anonymous dep
refactor concretize_develop to remove dev_build variant
refactor tests to check for ^dev_path=any instead of +dev_build
* fix variant class hierarchy
* autotools: add attribute to delete libtool archives .la files
According to Autotools Mythbuster (https://autotools.io/libtool/lafiles.html)
libtool archive files are mostly vestigial, but they might create issues
when relocating binary packages as shown in #18694.
For GCC specifically, most distributions remove these files with
explicit commands:
https://git.stg.centos.org/rpms/gcc/blob/master/f/gcc.spec#_1303
Considered all of that, this commit adds an easy way for each
AutotoolsPackage to remove every .la file that has been installed.
The default, for the time being, is to maintain them - to be consistent
with what Spack was doing previously.
* autotools: delete libtool archive files by default
Following review this commit changes the default for
libtool archive files deletion and adds test to verify
the behavior.
This commit refactors the computation of the search path
for aclocal in its own method, so that it's easier to reuse
for packages that need to have a custom autoreconf phase.
Co-authored-by: Toyohisa Kameyama <kameyama@riken.jp>
This reverts #18359 and follow-on PRs intended to address issues with
#18359 because that PR changes the hash of all specs. A future PR will
reintroduce the changes.
* Revert "Fix location in spec.yaml where we look for full_hash (#19132)"
* Revert "Fix fetch of spec.yaml files from buildcache (#19101)"
* Revert "Merge pull request #18359 from scottwittenburg/add-binary-distribution-cache-manager"
When we attempt to determine whether a remote spec (in a binary mirror)
is up-to-date or needs to be rebuilt, we compare the full_hash stored in
the remote spec.yaml file against the full_hash computed from the local
concrete spec. Since the full_hash moved into the spec (and is no longer
at the top level of the spec.yaml), we need to look there for it. This
oversight from #18359 was causing all specs to get rebuilt when the
full_hash wasn't fouhd at the expected location.
This changes makes sure that when we run the pipeline job that updates
the buildcache package index on the remote mirror, we also update the
key index. The public keys corresponding to the signing keys used to
sign the package was pushed to the mirror as a part of creating the
buildcache index, so this is just ensuring those keys are reflected
in the key index.
Also, this change makes sure the "spack buildcache update-index"
job runs even when there may have been pipeline failures, since we
would like the index always to reflect the true state of the mirror.
Since those files currently exist in buildcaches (in S3 buckets) with
potentially different content types, we should be less restrictive in
what content types we accept when attempting to fetch them. This PR
removes the content type constraint so any file with the matching
name will be found.
* Remove duplication of reconstructed RPATHs caused by multiple
identical entries in prefixes dictionary
* Don't rewrite RPATHs if relative RPATHs are unchanged because the
directory layout is unchanged
* Need to check the binary is not a Mach-o binary in a linux package or an ELF binary in a macOS package.
* use sys.platform
* Darwin -> darwin for sys.platform
* Rework spack.util.web.list_url()
list_url() now accepts an optional recursive argument (default: False)
for controlling whether to only return files within the prefix url or to
return all files whose path starts with the prefix url. Allows for the
most effecient implementation for the given prefix url scheme. For
example, only recursive queries are supported for S3 prefixes, so the
returned list is trimmed down if recursive == False, but the native
search is returned as-is when recursive == True. Suitable
implementations for each case are also used for file system URLs.
* Switch to using an explicit index for public keys
Switches to maintaining a build cache's keys under build_cache/_pgp.
Within this directory is an index.json file listing all the available
keys and a <fingerprint>.pub file for each such key.
- Adds spack.binary_distribution.generate_key_index()
- (re)generates a build cache's key index
- Modifies spack.binary_distribution.build_tarball()
- if tarball is signed, automatically pushes the key used for signing
along with the tarball
- if regenerate_index == True, automatically (re)generates the build
cache's key index along with the build cache's package index; as in
spack.binary_distribution.generate_key_index()
- Modifies spack.binary_distribution.get_keys()
- a build cache's key index is now used instead of programmatic
listing
- Adds spack.binary_distribution.push_keys()
- publishes keys from Spack's keyring to a given list of mirrors
- Adds new spack subcommand: spack gpg publish
- publishes keys from Spack's keyring to a given list of mirrors
- Modifies spack.util.gpg.Gpg.signing_keys()
- Accepts optional positional arguments for filtering the set of keys
returned
- Adds spack.util.gpg.Gpg.public_keys()
- As spack.util.gpg.Gpg.signing_keys(), except public keys are
returned
- Modifies spack.util.gpg.Gpg.export_keys()
- Fixes an issue where GnuPG would prompt for user input if trying to
overwrite an existing file
- Modifies spack.util.gpg.Gpg.untrust()
- Fixes an issue where GnuPG would fail for input that were not key
fingerprints
- Modifies spack.util.web.url_exists()
- Fixes an issue where url_exists() would throw instead of returning
False
* rework gpg module/fix error with very long GNUPGHOME dir
* add a shim for functools.cached_property
* handle permission denied error in gpg util
* fix tests/make gpgconf optional if no socket dir is available
Update pipelines documentation to describe how 'tags', 'variables',
'image', 'before_script', 'script', and 'after_script' can be
supplied at the top level, to be used by any of the runner mappings,
and also overridden by any of the runner mappings.
Also show an example of capturing the custom spack SHA at pipeline
generation time, so all jobs are sure to run with the same version
of spack, as a means to illustrate the $env:VARIABLE_NAME syntax.
* Use the config path instead of the basename
* Removing unused variables
Co-authored-by: Greg Becker <becker33@llnl.gov>
* Test
Making sure if there are 2 include config files with the same basename they are both implemented
* Edit test assert
Co-authored-by: Greg Becker <becker33@llnl.gov>
Fixes#18441
When writing an environment, there are cases where the lock file for
the environment may be removed. In this case there was a period
between removing the lock file and writing the new manifest file
where an exception could leave the manifest in its old state (in
which case the lock and manifest would be out of sync).
This adds a context manager which is used to restore the prior lock
file state in cases where the manifest file cannot be written.
This is a special case of overriding since each section is being matched with the current spec.
The trailing ':' for sections with override is now removed when parsing the configuration so the special handling for the modules configuration stopped working but it went unnoticed.
`spack install --yes-to-all` doesn't actually make the build non-interactive,
but that is why people typically use it. This documents that you must also
specify `--no-checksum` for a fully non-interactive build.
* Modules: Deduplicate suffixes but don't sort them.
The suffixes' order is defined by the order in which they appear in the configuration file.
* Modules: Modify tests to use spack_yaml.load_config.
spack_yaml.load_config ensures that the configuration is stored in an ordered manner. Without this change, the behavior of the tests did not match Spack's.
* Modules: Tweak the suffixes test to better catch ordering issues.
* spack config: default modification scope can be an environment
The previous model was that environments are the highest priority config
scope for config reading operations, but were not considered for config
writing operations. Now, the active environment is the highest priority
config scope for both reading and writing operations.
Now spack config add, spack external find and spack compiler set environment
configuration in the environment by default if an environment is active. This is a
change in default behavior for these routines, but better matches the mental
model for an environment taking precedence over the user's default config file.
* add scope argument to 'spack external find' to choose non-default scope
* Increase testing for config modifications on environments
Co-authored-by: Gregory Becker <becker33@llnl.gov>
The 'external_modules' attribute on a Spec, when read from a YAML
configuration file, may contain extra formatting that is lost when
that Spec is written-to/read-from JSON format. This was resulting in
a hashing instability (when the Spec was read back, it would report a
different hash). This commit adds a function which removes the extra
formatting from 'external_modules' as it is passed to the Spec in
__init__ to ensure a consistent hash.
As detailed in https://bugs.python.org/issue33725, starting new
processes with 'fork' on Mac OS is not guaranteed to work in general.
As of Python 3.8 the default process spawning mechanism was changed
to avoid this issue.
Spack depends on the fork-based method to preserve file descriptors
transparently, to preserve global state, and to avoid pickling some
objects. An effort is underway to remove dependence on fork-based
process spawning (see #18205). In the meantime, this allows Spack to
run with Python 3.8 on Mac OS by explicitly choosing to use 'fork'.
Co-authored-by: Peter Josef Scheibel <scheibel1@llnl.gov>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
I know that it's just an example, but I was trying to figure out what was going on and it wasn't making sense....
`tput sgr0` resets the terminal state (http://linuxcommand.org/lc3_adv_tput.php) and I can't see any reason to do it twice. Deleting the second occurrence doesn't seem to break the fancy prompt effect.
