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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.
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Co-authored-by: Axel Huebl <axel.huebl@plasma.ninja>
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* 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>
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* improve documentation
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fixes #20784
Similarly to the previous bug, here we were deducing
conditions to be imposed on nodes that were not part
of the DAG.
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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.
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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.
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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.
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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").
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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`
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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.
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Our program only generates facts now, so remove all unused code related
to generating cardinality constraints and rules.
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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.
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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.
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- [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
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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
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* extends: add type kwarg
* Flake8 fix
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Generate only facts for external specs. Substitute the
use of already grounded rules with non-grounded rules
in concretize.lp
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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.
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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.
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- fix trailing whitespace and other issues uncovered by better flake8
checking.
- fix extra whitespace printed by `spack style` command
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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
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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.
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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>
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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.
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Similar to the optimization on platform
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We can speed-up the computation by avoiding a
double loop in a cardinality constraint and
enforcing the rule instead as an integrity
constraint.
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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.
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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()`.
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`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.
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