Fixup common tests
* Remove requirement for Python 2.6
* Skip new failing test
Windows: Update url util to handle Windows paths (#27959)
* update url util to handle windows paths
* Update tests to handle fixed url handling
* canonicalize path only when the path type matches the host platform
* Skip some url tests on Windows
Co-authored-by: Omar Padron <omar.padron@kitware.com>
Use threading.TIMEOUT_MAX when available (#24246)
This value was introduced in Python 3.2. Specifying a timeout greater than
this value will raise an OverflowError.
Co-authored-by: Lou Lawrence <lou.lawrence@kitware.com>
Co-authored-by: John Parent <john.parent@kitware.com>
Co-authored-by: Betsy McPhail <betsy.mcphail@kitware.com>
* Fix building container images
Patchelf is bootstrapped from sources, so we cannot
disable that mechanism until a finer selection is
possible in the configuration.
* Build on changes to the Dockerfile
* Don't login to Dockerhub on PRs
* Add a CI job to audit all the packages in the built-in repository
* flecsi: fixed typo for dependency on legion
* py-pythonqwt: fix a typo in variant name
* sollve: removed a conflict with a non-existing variant
* acts: fixed use of wrong variant in dd4hep
Also removed duplicated variant declaration in dd4hep
* aoflagger: update variant of a dependency
Issues introduced indirectly in #22925
* camellia: removed unused variant
Issue introduced indirectly in #26150
* cbtf-*: remove cti variants and dependency on mrnet+cti
Issue introduced in #14178
* flecsale: update variants to match flecsi
Issue introduced in #11679
* grnboost: fixed issue with non-existing variant in a dependency
This package possibly never worked since #8763
* nalu: fixed issue with non-existing variant in a dependency
* open-iscsi: fixed issue with non-existing variant in a dependency
* openspeedshop-*: remove use of non-existing mrnet+cti variant
* percept: fixed issue with non-existing variant in a dependency
* phyluce: fixed issue with non-existing variant in a dependency
Issue introduced in #12952
* phyluce: fixed issue with non-existing variant in a dependency
Issue introduced in #22340
Remove a custom bootstrapping procedure to
use spack.bootstrap instead
Modifications:
* Reference count the bootstrap context manager
* Avoid SpackCommand to make the bootstrapping
procedure more transparent
* Put back requirement on patchelf being in PATH for unit tests
* Add an e2e test to check bootstrapping patchelf
Modifications:
- [x] Removed `centos:6` unit test, adjusted vermin checks
- [x] Removed backport of `collections.OrderedDict`
- [x] Removed backport of `functools.total_ordering`
- [x] Removed Python 2.6 specific skip markers in unit tests
- [x] Fixed a few minor Python 2.6 related TODOs in code
Updating the vendored dependencies will be done in separate PRs
Currently Spack vendors `pytest` at a version which is three major
versions behind the latest (3.2.5 vs. 6.2.4). We do that since v3.2.5
is the latest version supporting Python 2.6. Remaining so much
behind the currently supported versions though might introduce
some incompatibilities and is surely a technical debt.
This PR modifies Spack to:
- Use the vendored `pytest@3.2.5` only as a fallback solution,
if the Python interpreter used for Spack doesn't provide a newer one
- Be able to parse `pytest --collect-only` in all the different output
formats from v3.2.5 to v6.2.4 and use it consistently for `spack unit-test --list-*`
- Updating the unit tests in Github Actions to use a more recent `pytest` version
* GnuPG: allow bootstrapping from buildcache and sources
* Add a test to bootstrap GnuPG from binaries
* Disable bootstrapping in tests
* Add e2e test to bootstrap GnuPG from sources on Ubuntu
* Add e2e test to bootstrap GnuPG on macOS
Modifications:
- Modify the workflow to build container images without pushing when the workflow file itself is modified
- Strip the leading ghcr.io/spack/ from env.container env.versioned to prepare pushing to multiple registries
- Fixed CentOS 7 and Amazon Linux builds
- Login and push to Docker Hub as well as Github Action
- Add a badge to README.md with the status of docker images
Tumbleweed has been broken for a couple of days. The attempt
to fix it in #26170 didn't really work. Let's try to move to
a more stable release series for OpenSuse.
Modifications:
- [x] Change `defaults/config.yaml`
- [x] Add a fix for bootstrapping patchelf from sources if `compilers.yaml` is empty
- [x] Make `SPACK_TEST_SOLVER=clingo` the default for unit-tests
- [x] Fix package failures in the e4s pipeline
Caveats:
1. CentOS 6 still uses the original concretizer as it can't connect to the buildcache due to issues with `ssl` (bootstrapping from sources requires a C++14 capable compiler)
1. I had to update the image tag for GitlabCI in e699f14.
1. libtool v2.4.2 has been deprecated and other packages received some update
* Add a __reduce__ method to SpecBuildInterface
This class was confusing pickle when being serialized,
due to its scary nature of being an object that disguise
as another type.
* Add more MacOS tests, switch them to clingo
* Fix condition syntax
* Remove Python v3.6 and v3.9 with macOS
* Bootstrap clingo from binaries
* Move information on clingo binaries to a JSON file
* Add support to bootstrap on Cray
Bootstrapping on Cray requires, at the moment, to
swap the platform when looking for binaries - due
to #22800.
* Add SHA256 verification for bootstrapped software
Use sha256 verification for binaries necessary to bootstrap
the concretizer and gpg for signature verification
* patchelf: use Spec._old_concretize() to bootstrap
As noted in #24450 we may happen to need the
concretizer when bootstrapping clingo. In that case
only the old concretizer is available.
* Add a schema for bootstrapping methods
Two fields have been added to bootstrap.yaml:
"sources" which lists the methods available for
bootstrapping software
"trusted" which records if a source is trusted or not
A subcommand has been added to "spack bootstrap" to list
the sources currently available.
* Methods used for bootstrapping are configurable from bootstrap:sources
The function that tries to ensure a given Python module
is importable now tries bootstrapping methods in the same
order as they are defined in `bootstrap.yaml`
* Permit to trust/untrust bootstrapping methods
* Add binary tests for MacOS, Ubuntu
* Add documentation
* Add a note on bash
This pull request adds a new workflow to build and deploy Spack Docker containers
from GitHub Actions. In comparison with our current system where we use Dockerhub's
CI to build our Docker containers, this workflow will allow us to now build for multiple
architectures and deploy to multiple registries. (At the moment x86_64 and Arm64 because
ppc64le is throwing an error within archspec.)
As currently set up, the PR will build all of the current containers (minus Centos6 because
those yum repositories are no longer available?) as both x86_64 and Arm64 variants. The
workflow is currently setup to build and deploy containers nightly from develop as well as
on tagged releases. The workflow will also build, but NOT deploy containers on a pull request
for the purposes of testing this PR. At the moment it is setup to deploy the built containers to
GitHub's Container Registry although, support for also uploading to Dockerhub/Quay can be
included easily if we decide to keep releasing on Dockerhub/want to begin releasing on Quay.
Add a workflow to test bootstrapping clingo on
different platforms so that we can detect changes
that break it.
Compute `site_packages_dir` in `bootstrap.py` as it was
before #24095, until we figure a better way to override
that attribute.
Modifications:
- Remove the "build tests" workflow from GitHub Actions
- Setup a similar e2e test on Gitlab
In this way we'll reduce load on GitHub Actions workflows and for e2e tests will
benefit from the buildcache reuse granted by pipelines.
This adds a `--root` option so that `spack style` can check style for
a spack instance other than its own.
We also change the inner workings of `spack style` so that `--config FILE`
(and similar options for the various tools) options are used. This ensures
that when `spack style` runs, it always uses the config from the running spack,
and does *not* pick up configuration from the external root.
- [x] add `--root` option to `spack style`
- [x] add `--config` (or similar) option when invoking style tools
- [x] add a test that verifies we can check an external instance
This uses our bootstrapping logic to automatically install dependencies for
`spack style`. Users should no longer have to pre-install all of the tools
(`isort`, `mypy`, `black`, `flake8`). The command will do it for them.
- [x] add logic to bootstrap specs with specific version requirements in `spack style`
- [x] remove style tools from CI requirements (to ensure we test bootstrapping)
- [x] rework dependencies for `mypy` and `py-typed-ast`
- `py-typed-ast` needs to be a link dependency
- it needs to be at 1.4.1 or higher to work with python 3.9
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Getting rid of another top-level file.
`coverage.py` has supported `pyproject.toml` since version 5.0, and
all versions of coverage so far work with python 2.7. We just need to
ensure that a version of coverage with the `toml` extra is installed
in the test environment.
I tested this with `coverage run`, `coverage report`, and `coverage html`.
This moves our `mypy` configuration from `.mypy.ini` to `.pyproject.toml`
and increases the minimum `mypy` version in the tests.
- [x] move `mypy` configuration to `pyproject.toml`
- [x] remove `.mypy.ini`
- [x] ensure that `mypy` version .900 or higher is used in tests
* fix remaining flake8 errors
* imports: sort imports everywhere in Spack
We enabled import order checking in #23947, but fixing things manually drives
people crazy. This used `spack style --fix --all` from #24071 to automatically
sort everything in Spack so PR submitters won't have to deal with it.
This should go in after #24071, as it assumes we're using `isort`, not
`flake8-import-order` to order things. `isort` seems to be more flexible and
allows `llnl` mports to be in their own group before `spack` ones, so this
seems like a good switch.
`dateutil.parser` was an optional dependency for CVS tests. It was failing on macOS
beacuse the dateutil types were not being installed, and mypy was failing *even when the
CVS tests were skipped*. This seems like it was an oversight on macOS --
`types-dateutil-parser` was not installed there, though it was on Linux unit tests.
It takes 6 lines of YAML and some weird test-skipping logic to get `python-dateutil` and
`types-python-dateutil` installed in all the tests where we need them, but it only takes
4 lines of code to write the date parser we need for CVS, so I just did that instead.
Note that CVS date format can vary from system to system, but it seems like it's always
pretty similar for the parts we care about.
- [x] Replace dateutil.parser with a simpler date regex
- [x] Lose the dependency on `dateutil.parser`
* Force the Python interpreter with an env variable
This commit forces the Python interpreter with an
environment variable, to ensure that the Python set
by the "setup-python" action is the one being used.
Due to the policy adopted by Spack to prefer python3
over python we may end up picking a Python 3.X
interpreter where Python 2.7 was meant to be used.
* Revert "Update conftest.py (#24473)"
This reverts commit 477c8ce820.
* Make python-dateutil a soft dependency for unit tests
Before #23212 people could clone spack and run
```
spack unit-tests
```
while now this is not possible, since python-dateutil is
a required but not vendored dependency. This change makes
it not a hard requirement, i.e. it will be used if found
in the current interpreter.
* Workaround mypy complaint
Spack packages can now fetch versions from CVS repositories. Note
this fetch mechanism is unsafe unless using :extssh:. Most public
CVS repositories use an insecure protocol implemented as part of CVS.
This adds RHEL8's `/usr/libexec/platform-python` to Spack's list of preferred
pythons. It will only be used if no other `python` is available in the `PATH`.
We have been testing with this python for a while now, and it seems to do all
that we need. If Spack one day isn't able to work with it, we'll take it out,
but for now it is useful to allow Spack to be used on RHEL8 without a dedicated
`python` installation.
Clingo has been released on PyPI, so there
are no more concerns on our CI depending
on pypy.test for installing the wheel.
Apparently we have parts of Spack which
are not compatible with kcov > 3.4
* QA: reduce number of unit tests for jobs not in the matrix
* Fixup for CentOS6 dependencies
* Put correct conditions back in place
* Add dependency on changes
PRs that change only package recipes will only run tests under "package_sanity.py" and without coverage. This should result in a huge drop the cpu-time spent in CI for most PRs.
* unit tests: mark slow tests as "maybeslow"
This commit also removes the "network" marker and
marks every "network" test as "maybeslow". Tests
marked as db are maintained, but they're not slow
anymore.
* GA: require style tests to pass before running unit-tests
* GA: make MacOS unit tests fail fast
* GA: move all unit tests into the same workflow, run style tests as a prerequisite
All the unit tests have been moved into the same workflow so that a single
run of the dorny/paths-filter action can be used to ask for coverage based
on the files that have been changed in a PR. The basic idea is that for PRs
that introduce only changes to packages coverage is not necessary, this
resulting in a faster execution of the tests.
Also, for package only PRs slow unit tests are skipped.
Finally, MacOS and linux unit tests are now conditional on style tests passing
meaning that e.g. we won't waste a MacOS worker if we know that the PR has
flake8 issues.
* Addressed review comments
* Skipping slow tests on MacOS for package only recipes
* QA: make tests on changes correct before merging
* Allow the bootstrapping of clingo from sources
Allow python builds with system python as external
for MacOS
* Ensure consistent configuration when bootstrapping clingo
This commit uses context managers to ensure we can
bootstrap clingo using a consistent configuration
regardless of the use case being managed.
* Github actions: test clingo with bootstrapping from sources
* Add command to inspect and clean the bootstrap store
Prevent users to set the install tree root to the bootstrap store
* clingo: documented how to bootstrap from sources
Co-authored-by: Gregory Becker <becker33@llnl.gov>
There clingo-cffi job has two issues to be solved:
1. It uses the default concretizer
2. It requires a package from https://test.pypi.org/simple/
The former can be fixed by setting the SPACK_TEST_SOLVER
environment variable to "clingo".
The latter though requires clingo-cffi to be pushed to a
more stable package index (since https://test.pypi.org/simple/
is meant as a scratch version of PyPI that can be wiped at
any time).
For the time being run the tests in a container. Switch back to
PyPI whenever a new official version of clingo will be released.
* Support clingo when used with cffi
Clingo recently merged in a new Python module option based on cffi.
Compatibility with this module requires a few changes to spack - it does not automatically convert strings/ints/etc to Symbol and clingo.Symbol.string throws on failure.
manually convert str/int to clingo.Symbol types
catch stringify exceptions
add job for clingo-cffi to Spack CI
switch to potassco-vendored wheel for clingo-cffi CI
on_unsat argument when cffi
- [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
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.
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>
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
By default Spack uses the latest (highest version) GCC
compiler available, which might change across updates
of the Github CI environment.
Since a C compiler is always installed and `mpich~fortran`
will result in faster build times, avoid building the FORTRAN
interface as part of the test.
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>
Nightly builds with MacOS started failing again
due to an upgrade of the default virtual environment
that now uses Python 3.8
This makes us hit #14102 and every build fails. This
commit should be reverted along with the fix to #14102.
Ci is currently failing on brew update with the error:
```
Error: Cannot install bazelisk because conflicting formulae are installed.
bazel: because Bazelisk replaces the bazel binary
Please `brew unlink bazel` before continuing.
Unlinking removes a formula's symlinks from /usr/local. You can
link the formula again after the install finishes. You can --force this
install, but the build may fail or cause obscure side effects in the
resulting software.
```
Avoiding:
```
$ brew update
$ brew upgrade
```
solves the issue by preventing the risk of conflicting formulae
* Run Python2.6 unit tests on Github Actions
* Skip url tests on Python 2.6 to reduce waiting times
* Skip foreground background tests on Python 2.6 to reduce waiting times
* Removed references to Travis in the documentation
* Deleted install_patchelf.sh (can be installed from repo on CentOS 6)
Style and documentation tests take just a few minutes
to run. Since in Github actions one can't restart a single
job but needs to restart an entire workflow, here we group
tests with similar duration together.
* MacOS build tests
- Run on PR that modify the YAML file of the workflow
- Don't clone Spack, since we are in the Spack repo now
* Try to add opengl to configuration to build jupyter
* fixup
* Move flake8 tests on Github Actions
* Move shell test to Github Actions
* Moved documentation build to Github Action
* Don't run coverage on Python 2.6
Since we get connection errors consistently on Travis
when trying to upload coverage results for Python 2.6,
avoid computing coverage entirely to speed-up tests.
* Added unit tests to Github Actions
* Set user e-mail and name for git tests to succeed
* Simplify setup.sh logic
* Replicate Travis script on Github Actions
* Update flags since '.' is not allowed
* Added badge, simplified workflow
* Remove pinning of coverage
* Remove unit tests run on Github Actions from Travis
I usually want to look at the Travis CI output, but I currently have to
scroll down to see it. This renames checks to be a bit shorter and more
consistent with Travis's naming, and also so that actions appear lower
than travis and codecov in the list of checks.
This PR moves build smoke tests from TravisCI and migrates them to Github Actions. The result is that build tests are performed in parallel with unit tests and they don't hog additional resources on Travis. The workflow will not run if a PR only changes packages in the built-in repository, but will always run on pushes to develop or master.
* Removed build tests from Travis and passed them to Github Actions
* Store ~/.ccache in Github Actions cache
* Add filters on paths and make sure this workflow don't run
* Use paths-ignore and exclude only files in the built-in repo
* Added a badge to README.md
This commit removes the `python_version.py` unit test module
and the vendored dependencies `pyqver2.py` and `pyqver3.py`.
It substitutes them with an equivalent check done using
`vermin` that is run as a separate workflow via Github Actions.
This allows us to delete 2 vendored dependencies that are unmaintained
and substitutes them with a maintained tool.
Also, updates the list of vendored dependencies.
Use `spack pkg changed` and `spack maintainers` to figure out which
packages changed and who their maintainers are in a PR.
Add any maintainers to the PR as reviewers.
- Trying to reduce the number of top-level files in Spack.
- CODE_OF_CONDUCT.md can be referenced from the README.
- CONTRIBUTING.md is only used to display a message on pull requests, and
it still does that when in .github.
1137b18 removed the -s option from spack such that to see a stack
trace you must pass the --stacktrace option. The bug report templates
were not updated accordingly.
This replaces the single github issue-reporting template with templates for the
following types of issues:
* Build issues
* Spack command errors
* Feature request
Each template includes suggestions which are generally useful for the type of
issue encountered.
