Example one:
```
spack install --add x y z
```
is equivalent to
```
spack add x y z
spack concretize
spack install --only-concrete
```
where `--only-concrete` installs without modifying spack.yaml/spack.lock
Example two:
```
spack install
```
concretizes current spack.yaml if outdated and installs all specs.
Example three:
```
spack install x y z
```
concretizes current spack.yaml if outdated and installs *only* concrete
specs in the environment that match abstract specs `x`, `y`, or `z`.
Adapt tcl modulefile template to call "module load" on autoload
dependency without testing if this dependency is already loaded or not.
The is-loaded test is not necessary, as module commands know how to cope
with an already loaded module. With environment-modules 4.2+ (released
in 2018) it is also important to have this "module load" command even if
dependency is already loaded in order to record that the modulefile
declares such dependency. This is important if you want to keep a
consistent environment when a dependent module is unloaded.
The "Autoloading" verbose message is also removed as recent module
commands will report such information to the user (depending on the
verbosity configured for the module command).
Such change has been test successfully with Modules 3.2 (EL7), 4.5 (EL8)
and 5.2 (latest) and also with Lmod 7 and 8 (as it is mentionned in
Spack docs that Lmod can be used along with tcl modules). Dependencies
are correctly loaded or unloaded, whether they are loaded/unloaded or
not.
This change fixes Tcl quoting issue introduced in #32853.
Fixes#19155.
* py-pytorch-lightning: add v2.0.0
* py-lightning-utilities: add v0.8.0
* Update all PyTorch packages
* Open-CE does not yet have patches for PyTorch 2 on ppc64le
This adds a new mode for `concretizer:reuse` called `dependencies`,
which only reuses dependencies. Currently, `spack install foo` will
reuse older versions of `foo`, which might be surprising to users.
* ci: version bump for ghcr.io/spack/e4s-amazonlinux-2
This new image comes with GnuPG v2.4.0
* py-cython: upperbounds for Python versions
* fix py-gevent nonsense
---------
Co-authored-by: Harmen Stoppels <me@harmenstoppels.nl>
* CI configuration boilerplate reduction and refactor
Configuration:
- New notation for list concatenation (prepend/append)
- New notation for string concatenation (prepend/append)
- Break out configuration files for: ci.yaml, cdash.yaml, view.yaml
- Spack CI section refactored to improve self-consistency and
composability
- Scripts are now lists of lists and/or lists of strings
- Job attributes are now listed under precedence ordered list that are
composed/merged using Spack config merge rules.
- "service-jobs" are identified explicitly rather than as a batch
CI:
- Consolidate common, platform, and architecture configurations for all CI stacks into composable configuration files
- Make padding consistent across all stacks (256)
- Merge all package -> runner mappings to be consistent across all
stacks
Unit Test:
- Refactor CI module unit-tests for refactor configuration
Docs:
- Add docs for new notations in configuration.rst
- Rewrite docs on CI pipelines to be consistent with refactored CI
workflow
* Script verbose environ, dev bootstrap
* Port #35409
By setting the traversal depth to 1, only specs matching the changed
package and direct dependents of those (and of course all dependencies
of that set) are removed from pruning candidacy.
* Style: black 23, skip magic trailing commas
* isort should use same line length as black
* Fix unused import
* Update version of black used in CI
* Update new packages
* Update new packages
* e4s: restore builds builds
* gitlab ci: allow UO to build protected binaries for signing
* use newer image; comment out failing builds
* gitlab-ci: Some tweaks for e4s power builds
- fix tags (no longer require generate jobs to run on aws)
- fix resource requests for generation jobs resource requests
- remove SPACK_SIGNING_KEY from protected power build jobs
- update UO signing key path
- change the CDash build group to reflect stack name
- retry pipeline generation jobs *always*
* correct double packages: section
* gitlab-ci:script: modernize
* remove new gnu make, not for ppc64le
---------
Co-authored-by: Scott Wittenburg <scott.wittenburg@kitware.com>
Since SPACK_PACKAGE_IDS is now also "namespaced" with <prefix>, it makes
more sense to call the flag `--make-prefix` and alias the old flag
`--make-target-prefix` to it.
With the new variable [prefix/]SPACK_PACKAGE_IDS you can conveniently execute
things after each successful install.
For example push just-built packages to a buildcache
```
SPACK ?= spack
export SPACK_COLOR = always
MAKEFLAGS += -Orecurse
MY_BUILDCACHE := $(CURDIR)/cache
.PHONY: all clean
all: push
ifeq (,$(filter clean,$(MAKECMDGOALS)))
include env.mk
endif
# the relevant part: push has *all* example/push/<pkg identifier> as prereqs
push: $(addprefix example/push/,$(example/SPACK_PACKAGE_IDS))
$(SPACK) -e . buildcache update-index --directory $(MY_BUILDCACHE)
$(info Pushed everything, yay!)
# and each example/push/<pkg identifier> has the install target as prereq,
# and the body can use target local $(HASH) and $(SPEC) variables to do
# things, such as pushing to a build cache
example/push/%: example/install/%
@mkdir -p $(dir $@)
$(SPACK) -e . buildcache create --allow-root --only=package --unsigned --directory $(MY_BUILDCACHE) /$(HASH) # push $(SPEC)
@touch $@
spack.lock: spack.yaml
$(SPACK) -e . concretize -f
env.mk: spack.lock
$(SPACK) -e . env depfile -o $@ --make-target-prefix example
clean:
rm -rf spack.lock env.mk example/
``
With this change we get the invariant that `mirror.fetch_url` and
`mirror.push_url` return valid URLs, even when the backing config
file is actually using (relative) paths with potentially `$spack` and
`$env` like variables.
Secondly it avoids expanding mirror path / URLs too early,
so if I say `spack mirror add name ./path`, it stays `./path` in my
config. When it's retrieved through MirrorCollection() we
exand it to say `file://<env dir>/path` if `./path` was set in an
environment scope.
Thirdly, the interface is simplified for the relevant buildcache
commands, so it's more like `git push`:
```
spack buildcache create [mirror] [specs...]
```
`mirror` is either a mirror name, a path, or a URL.
Resolving the relevant mirror goes as follows:
- If it contains either / or \ it is used as an anonymous mirror with
path or url.
- Otherwise, it's interpreted as a named mirror, which must exist.
This helps to guard against typos, e.g. typing `my-mirror` when there
is no such named mirror now errors with:
```
$ spack -e . buildcache create my-mirror
==> Error: no mirror named "my-mirror". Did you mean ./my-mirror?
```
instead of creating a directory in the current working directory. I
think this is reasonable, as the alternative (requiring that a local dir
exists) feels a bit pendantic in the general case -- spack is happy to
create the build cache dir when needed, saving a `mkdir`.
The old (now deprecated) format will still be available in Spack 0.20,
but is scheduled to be removed in 0.21:
```
spack buildcache create (--directory | --mirror-url | --mirror-name) [specs...]
```
This PR also touches `tmp_scope` in tests, because it didn't really
work for me, since spack fixes the possible --scope values once and
for all across tests, so tests failed when run out of order.
Sometimes I just want to know how many packages of a certain type there are.
- [x] add `--count` option to `spack list` that output the number of packages that
*would* be listed.
```console
> spack list --count
6864
> spack list --count py-
2040
> spack list --count r-
1162
```
* paraview: add `rocm` variant
This conflicts with CUDA and requires at least ParaView 5.11.0. More
dependencies are also needed.
* E4S: Add ParaView for ROCm and CUDA stacks
* DAV SDK: Update ParaView version and GPU variants
* Verify using hipcc vs amdclang++ for newer hip
Co-authored-by: Ben Boeckel <ben.boeckel@kitware.com>
Gitlab does not merge lists when a job extends two other definitions
that include the same list (e.g. tags). Also, it merges dictionaries
as long as the keys are distinct, but just takes the last mentioned
value when there are key collisions.
This change makes sure that when different tags are needed by a
pipeline, the ones we want are actually provided. It also changes
the example stack to better follow this pattern so we do not lead
developers astray in the future.
`spack graph` has been reworked to use:
- Jinja templates
- builder objects to construct the template context when DOT graphs are requested.
This allowed to add a new colored output for DOT graphs that highlights both
the dependency types and the nodes that are needed at runtime for a given spec.
* ML CI: Linux x86_64
* Update comments
* Rename again
* Rename comments
* Update to match other arches
* No compiler
* Compiler was wrong anyway
* Faster TF
The main issue that's fixed is that Spack passes paths (as strings) to
functions that require urls. That wasn't an issue on unix, since there
you can simply concatenate `file://` and `path` and all is good, but on
Windows that gives invalid file urls. Also on Unix, Spack would not deal with uri encoding like x%20y for file paths.
It also removes Spack's custom url.parse function, which had its own incorrect interpretation of file urls, taking file://x/y to mean the relative path x/y instead of hostname=x and path=/y. Also it automatically interpolated variables, which is surprising for a function that parses URLs.
Instead of all sorts of ad-hoc `if windows: fix_broken_file_url` this PR
adds two helper functions around Python's own path2url and reverse.
Also fixes a bug where some `spack buildcache` commands
used `-d` as a flag to mean `--mirror-url` requiring a URL, and others
`--directory`, requiring a path. It is now the latter consistently.
It's very common for us to tell users to grep through the existing Spack packages to
find examples of what they want, and it's also very common for package developers to do
it. Now, searching packages is even easier.
`spack pkg grep` runs grep on all `package.py` files in repos known to Spack. It has no
special options other than the search string; all options passed to it are forwarded
along to `grep`.
```console
> spack pkg grep --help
usage: spack pkg grep [--help] ...
positional arguments:
grep_args arguments for grep
options:
--help show this help message and exit
```
```console
> spack pkg grep CMakePackage | head -3
/Users/gamblin2/src/spack/var/spack/repos/builtin/packages/3dtk/package.py:class _3dtk(CMakePackage):
/Users/gamblin2/src/spack/var/spack/repos/builtin/packages/abseil-cpp/package.py:class AbseilCpp(CMakePackage):
/Users/gamblin2/src/spack/var/spack/repos/builtin/packages/accfft/package.py:class Accfft(CMakePackage, CudaPackage):
```
```console
> spack pkg grep -Eho '(\S*)\(PythonPackage\)' | head -3
AwsParallelcluster(PythonPackage)
Awscli(PythonPackage)
Bueno(PythonPackage)
```
## Return Value
This retains the return value semantics of `grep`:
* 0 for found,
* 1 for not found
* >1 for error
## Choosing a `grep`
You can set the ``SPACK_GREP`` environment variable to choose the ``grep``
executable this command should use.
Unit tests on Windows are supposed to pass for any PR to pass CI.
However, the return code for the unit test command was not being
checked, which meant this check was always passing (effectively
disabled). This PR
* Properly checks the result of the unit tests and fails if the
unit tests fail
* Fixes (or disables on Windows) a number of tests which have
"drifted" out of support on Windows since this check was
effectively disabled
At some point the `a` mock package became an `AutotoolsPackage`, and that means it
depends on `gnuconfig` on macOS. This was causing one of our shell tests to fail on
macOS because it was testing for `{a.prefix.bin}:{b.prefix.bin}` in `PATH`, but
`gnuconfig` shows up between them.
- [x] simplify the test to check `spack load --sh a` and `spack load --sh b` separately
This commit reworks the bootstrapping procedure to use Spack environments
as much as possible.
The `spack.bootstrap` module has also been reorganized into a Python package.
A distinction is made among "core" Spack dependencies (clingo, GnuPG, patchelf)
and other dependencies. For a number of reasons, explained in the `spack.bootstrap.core`
module docstring, "core" dependencies are bootstrapped with the current ad-hoc
method.
All the other dependencies are instead bootstrapped using a Spack environment
that lives in a directory specific to the interpreter and the architecture being used.
* CI: Update Data and Vis SDK Stack
* Update image to match target deployments (E4S)
* Enable all packages
* Test supported variants of ParaView and VisIt
* Sensei: Update Python hint for newer cmake
* Sensei: add Python3 hint
This adds super-lazy maintainer mode to `spack checksum`: Instead of
only printing the new checksums to the terminal, `-a` and
`--add-to-package` will add the new checksums to the `package.py` file
and open it in the editor afterwards for final checks.
Environments and environment views have taken over the role of `spack activate/deactivate`, and we should deprecate these commands for several reasons:
- Global activation is a really poor idea:
- Install prefixes should be immutable; since they can have multiple, unrelated dependents; see below
- Added complexity elsewhere: verification of installations, tarballs for build caches, creation of environment views of packages with unrelated extensions "globally activated"... by removing the feature, it gets easier for people to contribute, and we'd end up with fewer bugs due to edge cases.
- Environment accomplish the same thing for non-global "activation" i.e. `spack view`, but better.
Also we write in the docs:
```
However, Spack global activations have two potential drawbacks:
#. Activated packages that involve compiled C extensions may still
need their dependencies to be loaded manually. For example,
``spack load openblas`` might be required to make ``py-numpy``
work.
#. Global activations "break" a core feature of Spack, which is that
multiple versions of a package can co-exist side-by-side. For example,
suppose you wish to run a Python package in two different
environments but the same basic Python --- one with
``py-numpy@1.7`` and one with ``py-numpy@1.8``. Spack extensions
will not support this potential debugging use case.
```
Now that environments are established and views can take over the role of activation
non-destructively, we can remove global activation/deactivation.
"spack install foo" no longer adds package "foo" to the environment
(i.e. to the list of root specs) by default: you must specify "--add".
Likewise "spack uninstall foo" no longer removes package "foo" from
the environment: you must specify --remove. Generally this means
that install/uninstall commands will no longer modify the users list
of root specs (which many users found problematic: they had to
deactivate an environment if they wanted to uninstall a spec without
changing their spack.yaml description).
In more detail: if you have environments e1 and e2, and specs [P, Q, R]
such that P depends on R, Q depends on R, [P, R] are in e1, and [Q, R]
are in e2:
* `spack uninstall --dependents --remove r` in e1: removes R from e1
(but does not uninstall it) and uninstalls (and removes) P
* `spack uninstall -f --dependents r` in e1: will uninstall P, Q, and
R (i.e. e2 will have dependent specs uninstalled as a side effect)
* `spack uninstall -f --dependents --remove r` in e1: this uninstalls
P, Q, and R, and removes [P, R] from e1
* `spack uninstall -f --remove r` in e1: uninstalls R (so it is
"missing" in both environments) and removes R from e1 (note that e1
would still install R as a dependency of P, but it would no longer
be listed as a root spec)
* `spack uninstall --dependents r` in e1: will fail because e2 needs R
Individual unit tests were created for each of these scenarios.
This commit extends the DSL that can be used in packages
to allow declaring that a package uses different build-systems
under different conditions.
It requires each spec to have a `build_system` single valued
variant. The variant can be used in many context to query, manipulate
or select the build system associated with a concrete spec.
The knowledge to build a package has been moved out of the
PackageBase hierarchy, into a new Builder hierarchy. Customization
of the default behavior for a given builder can be obtained by
coding a new derived builder in package.py.
The "run_after" and "run_before" decorators are now applied to
methods on the builder. They can also incorporate a "when="
argument to specify that a method is run only when certain
conditions apply.
For packages that do not define their own builder, forwarding logic
is added between the builder and package (methods not found in one
will be retrieved from the other); this PR is expected to be fully
backwards compatible with unmodified packages that use a single
build system.
* backtraces without --debug
Currently `--debug` is too verbose and not-`--debug` gives to little
context about where exceptions are coming from.
So, instead, it'd be nice to have `spack --backtrace` and
`SPACK_BACKTRACE=1` as methods to get something inbetween: no verbose
debug messages, but always a full backtrace.
This is useful for CI, where we don't want to drown in debug messages
when installing deps, but we do want to get details where something goes
wrong if it goes wrong.
* completion
When we lose a running pod (possibly loss of spot instance) or encounter
some other infrastructure-related failure of this job, we need to retry
it. This retries the job the maximum number of times in those cases.
`reuse` and `when_possible` concretization broke the invariant that
`spec[pkg_name]` has unique keys. This invariant is relied on in tons of
places, such as when setting up the build environment.
When using `when_possible` concretization, one may end up with two or
more `perl`s or `python`s among the transitive deps of a spec, because
concretization does not consider build-only deps of reusable specs.
Until the code base is fixed not to rely on this broken property of
`__getitem__`, we should disable reuse in CI.
When installing some/all specs from a buildcache, build edges are pruned
from those specs. This can result in a much smaller effective DAG. Until
now, `spack env depfile` would always generate a full DAG.
Ths PR adds the `spack env depfile --use-buildcache` flag that was
introduced for `spack install` before. This way, not only can we drop
build edges, but also we can automatically set the right buildcache
related flags on the specific specs that are gonna get installed.
This way we get parallel installs of binary deps without redundancy,
which is useful for Gitlab CI.
Currently "spack ci generate" chooses the first matching entry in
gitlab-ci:mappings to fill attributes for a generated build-job,
requiring that the entire configuration matrix is listed out
explicitly. This unfortunately causes significant problems in
environments with large configuration spaces, for example the
environment in #31598 (spack.yaml) supports 5 operating systems,
3 architectures and 130 packages with explicit size requirements,
resulting in 1300 lines of configuration YAML.
This patch adds a configuraiton option to the gitlab-ci schema called
"match_behavior"; when it is set to "merge", all matching entries
are applied in order to the final build-job, allowing a few entries
to cover an entire matrix of configurations.
The default for "match_behavior" is "first", which behaves as before
this commit (only the runner attributes of the first match are used).
In addition, match entries may now include a "remove-attributes"
configuration, which allows matches to remove tags that have been
aggregated by prior matches. This only makes sense to use with
"match_behavior:merge". You can combine "runner-attributes" with
"remove-attributes" to effectively override prior tags.
* env depfile: allow deps only install
- Refactor `spack env depfile` to use a Jinja template, making it a bit
easier to follow as a human being.
- Add a layer of indirection in the generated Makefile through an
`<prefix>/.install-deps/<hash>` target, which allows one to specify
different options when installing dependencies. For example, only
verbose/debug mode on when installing some particular spec:
```
$ spack -e my_env env depfile -o Makefile --make-target-prefix example
$ make example/.install-deps/<hash> -j16
$ make example/.install/<hash> SPACK="spack -d" SPACK_INSTALL_FLAGS=--verbose -j16
```
This could be used to speed up `spack ci rebuild`:
- Parallel install of dependencies from buildcache
- Better readability of logs, e.g. reducing verbosity when installing
dependencies, and splitting logs into deps.log and current_spec.log
* Silence please!
Caches used by repositories don't reference the global spack.repo.path instance
anymore, but get the repository they refer to during initialization.
Spec.virtual now use the index, and computation done to compute the index
use Repository.is_virtual_safe.
Code to construct mock packages and mock repository has been factored into
a unique MockRepositoryBuilder that is used throughout the codebase.
Add debug print for pushing and popping config scopes.
Changed spack.repo.use_repositories so that it can override or not previous repos
spack.repo.use_repositories updates spack.config.config according to the modifications done
Removed a peculiar behavior from spack.config.Configuration where push would always
bubble-up a scope named command_line if it existed
Basic stack of ML packages we would like to test and generate binaries for in CI.
Spack now has a large CI framework in GitLab for PR testing and public binary generation.
We should take advantage of this to test and distribute optimized binaries for popular ML
frameworks.
This is a pretty extensive initial set, including CPU, ROCm, and CUDA versions of a core
`x96_64_v4` stack.
### Core ML frameworks
These are all popular core ML frameworks already available in Spack.
- [x] PyTorch
- [x] TensorFlow
- [x] Scikit-learn
- [x] MXNet
- [x] CNTK
- [x] Caffe
- [x] Chainer
- [x] XGBoost
- [x] Theano
### ML extensions
These are domain libraries and wrappers that build on top of core ML libraries
- [x] Keras
- [x] TensorBoard
- [x] torchvision
- [x] torchtext
- [x] torchaudio
- [x] TorchGeo
- [x] PyTorch Lightning
- [x] torchmetrics
- [x] GPyTorch
- [x] Horovod
### ML-adjacent libraries
These are libraries that aren't specific to ML but are still core libraries used in ML pipelines
- [x] numpy
- [x] scipy
- [x] pandas
- [x] ONNX
- [x] bazel
Co-authored-by: Jonathon Anderson <17242663+blue42u@users.noreply.github.com>
Remove `module-info mode load` condition that prevents auto-unloading when autoloading is enabled. It looks like this condition was added to work around an issue in environment-modules that is no longer necessary.
Add quotes to make is-loaded happy
Install: Add use-buildcache option to install
* Allow differentiating between top level packages and dependencies when
determining whether to install from the cache or not.
* Add unit test for --use-buildcache
* Use metavar to display use-buildcache options.
* Update spack-completion
PR #32615 deprecated Python versions up to 3.6.X. Since
the "build-systems" pipeline requires Python 3.6.15 to
build "tut", it will fail on the first rebuild that
involves Python.
The "tut" package is meant to perform an end-to-end
test of the "Waf" build-system, which is scarcely
used. The fix therefore is just to remove it from
the pipeline.
amazon linux 2 ships a glibc that is too old to work with cuda toolkit
for aarch64.
For example:
`libcurand.so.10.2.10.50` requires the symbol `logf@@GLIBC_2.27`, but
glibc is at 2.26.
So, these specs are removed.
* ci: restore coverage computation
* Mark "test_foreground_background" as xfail
* Mark "test_foreground_background_output" as xfail
* Make number of processes explicit, remove verbosity on linux
* Run coverage on just 3 Python jobs for linux
* Run coverage on just 3 Python jobs for linux
* Run coverage on just 2 Python jobs for linux
* Add back verbose, since before we didn't encounter the xdist internal error
* Reduce the workers to 2
* Try to use command line
* ci: remove !docs from "core" filters
Written like it is now it causes package only PRs
to run with coverage.
* Try to skip job under condition, see if the workflow proceed
* Try to cancel a running CI job
* Simplify linux unit-tests, skip windows unit-tests on package PRs
* Reduce the inputs to unit-tests workflow
* Move control logic to main workflow, remove inputs
* Revert "Move control logic to main workflow, remove inputs"
This reverts commit 0c46fece4c49eb7a37585ec3ba651a31d7f958af.
* Do not compute "with_coverage" since it's always == to "core"
* Remove workflow dispatch from unit tests
* Revert "Revert "Move control logic to main workflow, remove inputs""
This reverts commit dd4e4a4e61a825901e736348fd044d37e88c90b5.
* Try to skip all from the main workflow
* Add back bootstrap to needed checks for "all"
* Restore the correct logic for conditionals
* Add two no-op jobs named "all-prechecks" and "all"
These are a suggestion from @tgamblin, they are stable named markers we
can use from gitlab and possibly for required checks to make CI more
resilient to refactors changing the names of specific checks.
* Enable parallel testing using xdist for unit testing in CI
* Normalize tmp paths to deal with macos
* add -u flag compatibility to spack python
As of now, it is accepted and ignored. The usage with xdist, where it
is invoked specifically by `python -u spack python` which is then passed
`-u` by xdist is the entire reason for doing this. It should never be
used without explicitly passing -u to the executing python interpreter.
* use spack python in xdist to support python 2
When running on python2, spack has many import cycles unless started
through main. To allow that, this uses `spack python` as the
interpreter, leveraging the `-u` support so xdist doesn't error out when
it unconditionally requests unbuffered binary IO.
* Use shutil.move to account for tmpdir being in a separate filesystem sometimes
Move the copying of the buildcache to a root job that runs after all the child
pipelines have finished, so that the operation can be coordinated across all
child pipelines to remove the possibility of race conditions during potentially
simlutandous copies. This lets us ensure the .spec.json.sig and .spack files
for any spec in the root mirror always come from the same child pipeline
mirror (though which pipeline is arbitrary). It also allows us to avoid copying
of duplicates, which we now do.
If you have an environment like
```
$ cat spack.yaml
spack:
specs: [openmpi@4.1.0+cuda]
```
this PR provides a new command `spack change` that you can use to adjust environment specs from the command line:
```
$ spack change openmpi~cuda
$ cat spack.yaml
spack:
specs: [openmpi@4.1.0~cuda]
```
in other words, this allows you to tweak the details of environment specs from the command line.
Notes:
* This is only allowed for environments that do not define matrices
* This is possible but not anticipated to be needed immediately
* If this were done, it should probably only be done for "named"/not-anonymous specs (i.e. we can change `openmpi+cuda` but not spec like `+cuda` or `@4.0.1~cuda`)
This support requires adding the '--tests' option to 'spack ci rebuild'.
Packages whose stand-alone tests are broken (in the CI environment) can
be configured in gitlab-ci to be skipped by adding them to
broken-tests-packages.
Highlights include:
- Restructured 'spack ci' help to provide better subcommand summaries;
- Ensured only one InstallError (i.e., installer's) rather than allowing
build_environment to have its own; and
- Refactored CI and CDash reporting to keep CDash-related properties and
behavior in a separate class.
This allows stand-alone tests from `spack ci` to run when the `--tests`
option is used. With `--tests`, stand-alone tests are run **after** a
**successful** (re)build of the package. Test results are collected
and report(able) using CDash.
This PR adds the following features:
- Adds `-t` and `--tests` to `spack ci rebuild` to run stand-alone tests;
- Adds `--fail-fast` to stop stand-alone tests after the first failure;
- Ensures a *single* `InstallError` across packages
(i.e., removes second class from build environment);
- Captures skipping tests for externals and uninstalled packages
(for CDash reporting);
- Copies test logs and outputs to the CI artifacts directory to facilitate
debugging;
- Parses stand-alone test results to report outputs from each `run_test` as
separate test parts (CDash reporting);
- Logs a test completion message to allow capture of timing of the last
`run_test` part;
- Adds the runner description to the CDash site to better distinguish entries
in CDash tables;
- Adds `gitlab-ci` `broken-tests-packages` to CI configuration to skip
stand-alone testing for packages with known issues;
- Changes `spack ci --help` so description of each subcommand is a single line;
- Changes `spack ci <subcommand> --help` to provide the full description of
each command (versus no description); and
- Ensures `junit` test log file ends in an `.xml` extension (versus default where
it does not).
Tasks:
- [x] Include the equivalent of the architecture information, or at least the host target, in the CDash output
- [x] Upload stand-alone test results files as `test` artifacts
- [x] Confirm tests are run in GitLab
- [x] Ensure CDash results are uploaded as artifacts
- [x] Resolve issues with CDash build-and test results appearing on same row of the table
- [x] Add unit tests as needed
- [x] Investigate why some (dependency) packages don't have test results (e.g., related from other pipelines)
- [x] Ensure proper parsing and reporting of skipped tests (as `not run`) .. post- #28701 merge
- [x] Restore the proper CDash URLand or mirror ONCE out-of-band testing completed
* modified list.py and added functionality for --tag
* Removed long and very long, shifted rest of code above return statement
* removed results variable
* added import statement at top
* added the line accidentally deleted
* added line accidentally deleted
* changed p.name to p, added line inside if statement
* line order switched
* [@spackbot] updating style on behalf of sparkyniner
* ran update completion command
* add tests
* Update lib/spack/spack/test/cmd/list.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* [@spackbot] updating style on behalf of sparkyniner
* changed argument to mock_packages and moved code under filter by tag
* removed bad rebase code and added additional test
* [@spackbot] updating style on behalf of sparkyniner
* added line removed earlier
* added line removed earlier
* replaced function
* added more recommended changes
Co-authored-by: sairaj <sairaj@sairajs-MacBook-Pro.local>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
On PR pipelines we need to override the buildcache destination to
point to the "spack-binaries-prs" bucket, otherwise, those pipelines
try to push to the default mirror in a bucket for which they don't
have write permission.
`LD_LIBRARY_PATH` can break system executables (e.g., when an enviornment is loaded) and isn't necessary thanks to `RPATH`s. Packages that require `LD_LIBRARY_PATH` can set this in `setup_run_environment`.
- [x] Prefix inspections no longer set `LD_LIBRARY_PATH` by default
- [x] Document changes and workarounds for people who want `LD_LIBRARY_PATH`
`spack style` tests were annoyingly brittle because we could not easily be
specific about which tools to run (we had to use `--no-black`, `--no-isort`,
`--no-flake8`, and `--no-mypy`). We should be able to specify what to run OR
what to skip.
Now you can run, e.g.:
spack style --tool black,flake8
or:
spack style --skip black,isort
- [x] Remove `--no-black`, `--no-isort`, `--no-flake8`, and `--no-mypy` args.
- [x] Add `--tool TOOL` argument.
- [x] Add `--skip TOOL` argument.
- [x] Allow either `--tool black --tool flake8` or `--tool black,flake8` syntax.
Black will automatically fix a lot of the exceptions we previously allowed for
directives, so we don't need them in our custom `flake8_formatter` anymore.
- [x] remove `E501` (long line) exceptions for directives from `flake8_formatter`,
as they won't help us now.
- [x] Refine exceptions for long URLs in the `flake8_formatter`.
- [x] Adjust the mock `flake8-package` to exhibit the exceptions we still allow.
- [x] Update style tests for new `flake8-package`.
- [x] Blacken style test.
This adds necessary configuration for flake8 and black to work together.
This also sets the line length to 99, per the data here:
* https://github.com/spack/spack/pull/24718#issuecomment-876933636
Given the data and the spirit of black's 88-character limit, we set the limit to 99
characters for all of Spack, because:
* 99 is one less than 100, a nice round number, and all lines will fit in a
100-character wide terminal (even when the text editor puts a \ at EOL).
* 99 is just past the knee the file size curve for packages, and it means that packages
remain readable and not significantly longer than they are now.
* It doesn't seem to hurt core -- files in core might change length by a few percent but
seem like they'll be mostly the same as before -- just a bit more roomy.
- [x] set line length to 99
- [x] remove most exceptions from `.flake8` and add the ones black cares about
- [x] add `[tool.black]` to `pyproject.toml`
- [x] make `black` run if available in `spack style --fix`
Co-Authored-By: Tom Scogland <tscogland@llnl.gov>
We adopted the convention of putting binaries for each stack into
a dedicated mirror named after the directory in which the stack
(spack.yaml file) resides. This fixes the mirror url of the
radiuss-aws-aarch64 stack to follow that convention.
Add spack stacks targeted at Spack + AWS + ARM HPC User Group hackathon. Includes
a list of miniapps and full-apps that are ready to run on both x86_64 and aarch64.
Co-authored-by: Scott Wittenburg <scott.wittenburg@kitware.com>
Add two new stacks targeted at x86_64 and arm, representing an initial list of packages
used by current and planned AWS Workshops, and built in conjunction with the ISC22
announcement of the spack public binary cache.
Co-authored-by: Scott Wittenburg <scott.wittenburg@kitware.com>
Explicitly import package utilities in all packages, and corresponding fallout.
This includes:
* rename `spack.package` to `spack.package_base`
* rename `spack.pkgkit` to `spack.package`
* update all packages in builtin, builtin_mock and tutorials to include `from spack.package import *`
* update spack style
* ensure packages include the import
* automatically add the new import and remove any/all imports of `spack` and `spack.pkgkit`
from packages when using `--fix`
* add support for type-checking packages with mypy when SPACK_MYPY_CHECK_PACKAGES
is set in the environment
* fix all type checking errors in packages in spack upstream
* update spack create to include the new imports
* update spack repo to inject the new import, injection persists to allow for a deprecation period
Original message below:
As requested @adamjstewart, update all packages to use pkgkit. I ended up using isort to do this,
so repro is easy:
```console
$ isort -a 'from spack.pkgkit import *' --rm 'spack' ./var/spack/repos/builtin/packages/*/package.py
$ spack style --fix
```
There were several line spacing fixups caused either by space manipulation in isort or by packages
that haven't been touched since we added requirements, but there are no functional changes in here.
* [x] add config to isort to make sure this is maintained going forward
This PR supports the creation of securely signed binaries built from spack
develop as well as release branches and tags. Specifically:
- remove internal pr mirror url generation logic in favor of buildcache destination
on command line
- with a single mirror url specified in the spack.yaml, this makes it clearer where
binaries from various pipelines are pushed
- designate some tags as reserved: ['public', 'protected', 'notary']
- these tags are stripped from all jobs by default and provisioned internally
based on pipeline type
- update gitlab ci yaml to include pipelines on more protected branches than just
develop (so include releases and tags)
- binaries from all protected pipelines are pushed into mirrors including the
branch name so releases, tags, and develop binaries are kept separate
- update rebuild jobs running on protected pipelines to run on special runners
provisioned with an intermediate signing key
- protected rebuild jobs no longer use "SPACK_SIGNING_KEY" env var to
obtain signing key (in fact, final signing key is nowhere available to rebuild jobs)
- these intermediate signatures are verified at the end of each pipeline by a new
signing job to ensure binaries were produced by a protected pipeline
- optionallly schedule a signing/notary job at the end of the pipeline to sign all
packges in the mirror
- add signing-job-attributes to gitlab-ci section of spack environment to allow
configuration
- signing job runs on special runner (separate from protected rebuild runners)
provisioned with public intermediate key and secret signing key
This PR builds on #28392 by adding a convenience command to create a local mirror that can be used to bootstrap Spack. This is to overcome the inconvenience in setting up this mirror manually, which has been reported when trying to setup Spack on air-gapped systems.
Using this PR the user can create a bootstrapping mirror, on a machine with internet access, by:
% spack bootstrap mirror --binary-packages /opt/bootstrap
==> Adding "clingo-bootstrap@spack+python %apple-clang target=x86_64" and dependencies to the mirror at /opt/bootstrap/local-mirror
==> Adding "gnupg@2.3: %apple-clang target=x86_64" and dependencies to the mirror at /opt/bootstrap/local-mirror
==> Adding "patchelf@0.13.1:0.13.99 %apple-clang target=x86_64" and dependencies to the mirror at /opt/bootstrap/local-mirror
==> Adding binary packages from "https://github.com/alalazo/spack-bootstrap-mirrors/releases/download/v0.1-rc.2/bootstrap-buildcache.tar.gz" to the mirror at /opt/bootstrap/local-mirror
To register the mirror on the platform where it's supposed to be used run the following command(s):
% spack bootstrap add --trust local-sources /opt/bootstrap/metadata/sources
% spack bootstrap add --trust local-binaries /opt/bootstrap/metadata/binaries
The mirror has to be moved over to the air-gapped system, and registered using the commands shown at prompt. The command has options to:
1. Add pre-built binaries downloaded from Github (default is not to add them)
2. Add development dependencies for Spack (currently the Python packages needed to use spack style)
* bootstrap: refactor bootstrap.yaml to move sources metadata out
* bootstrap: allow adding/removing custom bootstrapping sources
This operation can be performed from the command line since
new subcommands have been added to `spack bootstrap`
* Add --trust argument to spack bootstrap add
* Add a command to generate a local mirror for bootstrapping
* Add a unit test for mirror creation
Currently, environments can either be concretized fully together or fully separately. This works well for users who create environments for interoperable software and can use `concretizer:unify:true`. It does not allow environments with conflicting software to be concretized for maximal interoperability.
The primary use-case for this is facilities providing system software. Facilities provide multiple MPI implementations, but all software built against a given MPI ought to be interoperable.
This PR adds a concretization option `concretizer:unify:when_possible`. When this option is used, Spack will concretize specs in the environment separately, but will optimize for minimal differences in overlapping packages.
* Add a level of indirection to root specs
This commit introduce the "literal" atom, which comes with
a few different "arities". The unary "literal" contains an
integer that id the ID of a spec literal. Other "literals"
contain information on the requests made by literal ID. For
instance zlib@1.2.11 generates the following facts:
literal(0,"root","zlib").
literal(0,"node","zlib").
literal(0,"node_version_satisfies","zlib","1.2.11").
This should help with solving large environments "together
where possible" since later literals can be now solved
together in batches.
* Add a mechanism to relax the number of literals being solved
* Modify spack solve to display the new criteria
Since the new criteria is above all the build criteria,
we need to modify the way we display the output.
Originally done by Greg in #27964 and cherry-picked
to this branch by the co-author of the commit.
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
* Inject reusable specs into the solve
Instead of coupling the PyclingoDriver() object with
spack.config, inject the concrete specs that can be
reused.
A method level function takes care of reading from
the store and the buildcache.
* spack solve: show output of multi-rounds
* add tests for best-effort coconcretization
* Enforce having at least a literal being solved
Co-authored-by: Greg Becker <becker33@llnl.gov>
Add two new cloud pipelines for E4S on Amazon Linux, include arm and x86 (v3 + v4) stacks.
Notes:
- Updated mpark-variant to remove conflict that no longer exists in Amazon Linux
- Which command on Amazon Linux prefixes on all results when padded_length is too high. In this case, padded_length<=503 works as expected. Chose conservative length of 384.
* Introduce concretizer:unify option to replace spack:concretization
* Deprecate concretization
* Make spack:concretization overrule concretize:unify for now
* Add environment update logic to move from spack:concretization to spack:concretizer:reuse
* Migrate spack:concretization to spack:concretize:unify in all locations
* For new environments make concretizer:unify explicit, so that defaults can be changed in 0.19
Error messages for the clingo concretizer have proven challenging. The current messages are incredibly vague and often don't help users at all. Unsat cores in clingo are not guaranteed to be minimal, and lead to cores that are either not useful or need to be post-processed for hours to reach a minimal core.
Following up on an idea from a slack conversation with kwryankrattiger on slack, this PR takes a new approach. We eliminate most integrity constraints and minima/maxima on choice rules in clingo, and instead force invalid states to imply an error predicate. The error predicate can include context on the cause of the error (Package, Version, etc). These error predicates are then heavily optimized against, to ensure that we do not include error facts in the solution when a solution with no error facts could be generated. When post-processing the clingo solution to construct specs, any error facts cause the program to raise an exception. This leads to much more legible error messages. Each error predicate includes a priority and an error message. The error message is formatted by the remaining arguments to produce the error message. The priority is used to ensure that when clingo has a choice of which rules to violate, it chooses the one which will be most informative to the user.
Performance:
"fresh" concretizations appear to suffer a ~20% performance penalty under this branch, while "reuse" concretizations see a speedup of around 33%.
Possible optimizations if users still see unhelpful messages:
There are currently 3 levels of priority of the error messages. Additional priorities are possible, and can allow us finer granularity to ensure more informative error messages are provided in lieu of less informative ones.
Future work:
Improve tests to ensure that every possible rule implying an error message is exercised
