* gromacs +cp2k: build in CI
* libxsmm: x86 only
* attempt to fix dbcsr + new mpich
* use c11 standard
* gromacs: does not depend on dbcsr
* cp2k: build with cmake in CI, s.t. dbcsr is a separate package
* cp2k: cmake patches for config files and C/C++ std
* cp2k: remove unnecessary constraints due to patch
With the introduction of multiple build dependencies from the same package in the DAG, we need to minimize a few weights accounting for edges rather than nodes. If we don't do that we might have multiple "optimal" solutions that differ only in how the same nodes are connected together. This commit ensures optimal versions are picked per parent in case of multiple choices for a dependency.
* py-statsmodels: add 0.14.0
* Fix style
* Update var/spack/repos/builtin/packages/py-statsmodels/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/py-statsmodels/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Remove python limits
* Remove comment
---------
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* py-cykhash: adding new package py-cykhash
* py-hmmlearn: adding new package py-hmmlearn
* py-macs3: adding new package py-macs3
* py-macs3: adding python version restriction and other changes.
Fix the following syntax which validates only the first array entry:
```python
"compilers": {
"type": "array",
"items": [
{
"type": ...
}
]
}
```
to
```python
"compilers": {
"type": "array",
"items": {
"type": ...
}
}
```
which validates the entire array.
Oops...
On some systems, multiple pythonx.y are placed in the same prefix as
pythonx (where only one of them is associated with that pythonx).
Spack external detection for Python was willing to register all of
these as external versions. Moreover, the `package.py` for Python
was able to distinguish these.
This can cause an issue for some build systems, which will just look
for python3 for example, so if that python3 is actually python3.6,
and the build system needs 3.7 (which spack may have found in the
same prefix, and offered as a suitable external), it will fail when
invoking python3.
To avoid that issue, we simply avoid treating pythonx.y as external
candidates. In the above case, Spack would only detect a Python 3.6
external, and the build would be forced to use a Spack-built Python
3.7 (which we consider a good thing).
This adds a `SetupContext` class which is responsible for setting
package.py module globals, and computing the changes to environment
variables for the build, test or run context.
The class uses `effective_deptypes` which takes a list of specs (e.g. single
item of a spec to build, or a list of environment roots) and a context
(build, run, test), and outputs a flat list of specs that affect the
environment together with a flag in what way they do so. This list is
topologically ordered from root to leaf, so that one can be assured that
dependents override variables set by dependencies, not the other way
around.
This is used to replace the logic in `modifications_from_dependencies`,
which has several issues: missing calls to `setup_run_environment`, and
the order in which operations are applied.
Further, it should improve performance a bit in certain cases, since
`effective_deptypes` run in O(v + e) time, whereas `spack env activate`
currently can take up to O(v^2 + e) time due to loops over roots. Each
edge in the DAG is visited once by calling `effective_deptypes` with
`env.concrete_roots()`.
By marking and propagating flags through the DAG, this commit also fixes
a bug where Spack wouldn't call `setup_run_environment` for runtime
dependencies of link dependencies. And this PR ensures that Spack
correctly sets up the runtime environment of direct build dependencies.
Regarding test dependencies: in a build context they are are build-time
test deps, whereas in a test context they are install-time test deps.
Since there are no means to distinguish the build/install type test deps,
they're both.
Further changes:
- all `package.py` module globals are guaranteed to be set before any of the
`setup_(dependent)_(run|build)_env` functions is called
- traversal order during setup: first the group of externals, then the group
of non-externals, with specs in each group traversed topological (dependencies
are setup before dependents)
- modules: only ever call `setup_dependent_run_environment` of *direct* link/run
type deps
- the marker in `set_module_variables_for_package` is dropped, since we should
call the method once per spec. This allows us to set only a cheap subset of
globals on the module: for example it's not necessary to compute the expensive
`cmake_args` and w/e if the spec under consideration is not the root node to be
built.
- `spack load`'s `--only` is deprecated (it has no effect now), and `spack load x`
now means: do everything that's required for `x` to work at runtime, which
requires runtime deps to be setup -- just like `spack env activate`.
- `spack load` no longer loads build deps (of build deps) ...
- `spack env activate` on partially installed or broken environments: this is all
or nothing now. If some spec errors during setup of its runtime env, you'll only
get the unconditional variables + a warning that says the runtime changes for
specs couldn't be applied.
- Remove traversal in upward direction from `setup_dependent_*` in packages.
Upward traversal may iterate to specs that aren't children of the roots
(e.g. zlib / python have hundreds of dependents, only a small fraction is
reachable from the roots. Packages should only modify the direct dependent
they receive as an argument)
The ability to select the top N versions got removed in the checksum overhaul,
cause initially numbers were used for commands.
Now that we settled on characters for commands, let's make numbers pick the top
N again.
This flag was only relevant when targeting powerpc from apple-clang,
which we don't do. The flag is removed from apple-clang@15. Let's drop
it unconditionally.
Improve how mirrors are used in gitlab ci, where we have until now thought
of them as only a string.
By configuring ci mirrors ahead of time using the proposed mirror templates,
and by taking advantage of the expressiveness that spack now has for mirrors,
this PR will allow us to easily switch the protocol/url we use for fetching
binary dependencies.
This change also deprecates some gitlab functionality and marks it for
removal in Spack 0.23:
- arguments to "spack ci generate":
* --buildcache-destination
* --copy-to
- gitlab configuration options:
* enable-artifacts-buildcache
* temporary-storage-url-prefix
* petsc: add variant +sycl
* petsc: add in gmake as dependency - so that consistent make gets used between petsc and slepc builds [that can have different env for each of the builds]
Reused specs used to be referenced directly into the built spec.
This might cause issues like in issue 39570 where two objects in
memory represent the same node, because two reused specs were
loaded from different sources but referred to the same spec
by DAG hash.
The issue is solved by copying concrete specs to a dictionary keyed
by dag hash.
`spack dev-build` would incorrectly set `keep_stage=True` for the
entire DAG, including for non-dev specs, even though the dev specs
have a DIYStage which never deletes sources.
py-werkzeug@:0.12 does not work with python@3.10:
Test with py-werkzeug 0.12.2 and python 3.10:
```
$ python3.10 -c 'import werkzeug'
py-werkzeug-0.12.2/lib/python3.11/site-packages/werkzeug/datastructures.py", line 16, in <module>
from collections import Container, Iterable, MutableSet
ImportError: cannot import name 'Container' from 'collections'
```
Test with py-werkzeug 0.12.2 and python 3.9:
```
python3.9 -c "from collections import Container"
<string>:1: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
```
This patch adds in a license directive to get the ball rolling on adding in license
information about packages to spack. I'm primarily interested in just adding
license into spack, but this would also help with other efforts that people are
interested in such as adding license information to the ASP solve for
concretization to make sure licenses are compatible.
Usage:
Specifying the specific license that a package is released under in a project's
`package.py` is good practice. To specify a license, find the SPDX identifier for
a project and then add it using the license directive:
```python
license("<SPDX Identifier HERE>")
```
For example, for Apache 2.0, you might write:
```python
license("Apache-2.0")
```
Note that specifying a license without a when clause makes it apply to all
versions and variants of the package, which might not actually be the case.
For example, a project might have switched licenses at some point or have
certain build configurations that include files that are licensed differently.
To account for this, you can specify when licenses should be applied. For
example, to specify that a specific license identifier should only apply
to versionup to and including 1.5, you could write the following directive:
```python
license("MIT", when="@:1.5")
```
