Continuing to shave small bits of time off startup --
`spack.cmd.common.arguments` constructs many `Args` objects at module
scope, which has to be done for all commands that import it. Instead of
doing this at load time, do it lazily.
- [x] construct Args objects lazily
- [x] remove the module-scoped argparse fixture
- [x] make the mock config scope set dirty to False by default (like the
regular scope)
This *seems* to reduce load time slightly
Previously, fixtures like `config`, `database`, and `store` were
module-scoped, but frequently used as test function arguments. These
fixtures swap out global on setup and restore them on teardown. As
function arguments, they would do the right set-up, but they'd leave the
global changes in place for the whole module the function lived in. This
meant that if you use `config` once, other functions in the same module
would inadvertently inherit the mock Spack configuration, as it would
only be torn down once all tests in the module were complete.
In general, we should module- or session-scope the *STATE* required for
these global objects (as it's expensive to create0, but we shouldn't
module-or session scope the activation/use of them, or things can get
really confusing.
- [x] Make generic context managers for global-modifying fixtures.
- [x] Make session- and module-scoped fixtures that ONLY build filesystem
state and create objects, but do not swap out any variables.
- [x] Make seeparate function-scoped fixtures that *use* the session
scoped fixtures and actually swap out (and back in) the global
variables like `config`, `database`, and `store`.
These changes make it so that global changes are *only* ever alive for a
singlee test function, and we don't get weird dependencies because a
global fixture hasn't been destroyed.
`PackagePrefs` has had a class-level cache of data from `packages.yaml` for
a long time, but it complicates testing and leads to subtle errors,
especially now that we frequently manipulate custom config scopes and
environments.
Moving the cache to instance-level doesn't slow down concretization or
the test suite, and it just caches for the life of a `PackagePrefs`
instance (i.e., for a single cocncretization) so we don't need to worry
about global state anymore.
- [x] Remove class-level caches from `PackagePrefs`
- [x] Add a cached _spec_order object on each `PackagePrefs` instance
- [x] Remove all calls to `PackagePrefs.clear_caches()`
Commands like `spack blame` were printig poorly when redirected to files,
as colify reverts to a single column when redirected. This works for
list data but not tables.
- [x] Force a table by always passing `tty=True` from `colify_table()`
In "spack info" the Variants header currently has two blank
lines under it. That's too much. It looks like the actual
content belongs to something else.
Instead underline the headers to make things more obvious.
* Add Avizo Recipe
* make changes as per review
* fix home url and linting
* Fix url
* fix identation
* change checksum to sha256 instead of md5
* fix installation
* fix lint
* fix identation
* make it compatible with python 2.6
* enhancing recipe and fixing avizo licensing
changes as per suggestions from reviewer; fix licensing
* fix identation
* use new setup_run_environment function
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.
Before this commit we used to run the entire unit test suite
in the presence of a failure. Since we currently rely a lot
on the state of the filesystem etc. the end report was most
of the time showing spurious failures that were a consequence
of the first failing test.
This PR makes unit tests exit at the first failing test
Also, pin codecov at v4.5.4 (last one supporting Python 2.6)
`ViewDescriptor.regenerate()` calls `get_all_specs()`, which reads
`spec.yaml` files, which is slow. It's fine to do this once, but
`view.remove_specs()` *also* calls it immediately afterwards.
- [x] Pass the result of `get_all_specs()` as an optional parameter to
`view.remove_specs()` to avoid reading `spec.yaml` files twice.
`ViewDescriptor.regenerate()` was copying specs and stripping build
dependencies, which clears `_hash` and other cached fields on concrete
specs, which causes a bunch of YAML hashes to be recomputed.
- [x] Preserve the `_hash` and `_normal` fields on stripped specs, as
these will be unchanged.
`spack install` previously concretized, writes the entire environment
out, regenerated views, then wrote and regenerated views
again. Regenerating views is slow, so ensure that we only do that once.
- [x] add an option to env.write() to skip view regeneration
- [x] add a note on whether regenerate_views() shouldn't just be a
separate operation -- not clear if we want to keep it as part of write
to ensure consistency, or take it out to avoid performance issues.
Environments need to read the DB a lot when installing all specs.
- [x] Put a read transaction around `install_all()` and `install()`
to avoid repeated locking
Our `LockTransaction` class was reading overly aggressively. In cases
like this:
```
1 with spack.store.db.read_transaction():
2 with spack.store.db.write_transaction():
3 ...
```
The `ReadTransaction` on line 1 would read in the DB, but the
WriteTransaction on line 2 would read in the DB *again*, even though we
had a read lock the whole time. `WriteTransaction`s were only
considering nested writes to decide when to read, but they didn't know
when we already had a read lock.
- [x] `Lock.acquire_write()` return `False` in cases where we already had
a read lock.
If a write transaction was nested inside a read transaction, it would not
write properly on release, e.g., in a sequence like this, inside our
`LockTransaction` class:
```
1 with spack.store.db.read_transaction():
2 with spack.store.db.write_transaction():
3 ...
4 with spack.store.db.read_transaction():
...
```
The WriteTransaction on line 2 had no way of knowing that its
`__exit__()` call was the last *write* in the nesting, and it would skip
calling its write function.
The `__exit__()` call of the `ReadTransaction` on line 1 wouldn't know
how to write, and the file would never be written.
The DB would be correct in memory, but the `ReadTransaction` on line 4
would re-read the whole DB assuming that other processes may have
modified it. Since the DB was never written, we got stale data.
- [x] Make `Lock.release_write()` return `True` whenever we release the
*last write* in a nest.
Lock transactions were actually writing *after* the lock was
released. The code was looking at the result of `release_write()` before
writing, then writing based on whether the lock was released. This is
pretty obviously wrong.
- [x] Refactor `Lock` so that a release function can be passed to the
`Lock` and called *only* when a lock is really released.
- [x] Refactor `LockTransaction` classes to use the release function
instead of checking the return value of `release_read()` / `release_write()`
`ViewDescriptor.regenerate()` checks repeatedly whether packages are
installed and also does a lot of DB queries. Put a read transaction
around the whole thing to avoid repeatedly locking and unlocking the DB.
`Environment.added_specs()` has a loop around calls to
`Package.installed()`, which can result in repeated DB queries. Optimize
this with a read transaction in `Environment`.
Checks for deprecated specs were repeatedly taking out read locks on the
database, which can be very slow.
- [x] put a read transaction around the deprecation check
BundlePackages use a noop fetch strategy. The mirror logic was assuming
that the fetcher had a resource to cach after performing a fetch. This adds
a special check to skip caching if the stage is associated with a
BundleFetchStrategy. Note that this should allow caching resources
associated with BundlePackages.