When you install Spack from a tarball, it will always show an exact
version for Spack itself, even when you don't download a tagged commit:
```
$ wget -q https://github.com/spack/spack/archive/refs/heads/develop.tar.gz
$ tar -xf develop.tar.gz
$ ./spack-develop/bin/spack --version
0.16.2
```
This PR sets the Spack version to `0.18.0.dev0` on develop, following [PEP440](https://github.com/spack/spack/pull/25267#issuecomment-896340234) as
suggested by Adam Stewart.
```
spack (fix/set-dev-version)$ spack --version
0.18.0.dev0 (git 0.17.1-1526-e270464ae0)
spack (fix/set-dev-version)$ mv .git .git_
spack $ spack --version
0.18.0.dev0
```
- [x] Update the release guide
- [x] Add __version__ to spack's __init__.py
- [x] Use PEP 440 canonical version strings
- [x] Make spack --version output [actual version] (git version)
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
This PR removes a few outdated sections from the "Basics" part of the
documentation. It also makes a few topic under the environment section
more prominent by removing an unneeded spack.yaml subsection and
promoting everything under it.
* Incorporate new search location
* Add external user option
* proper doc string
* Explicit commands in getting started
* raise during chgrp on Win
recover installer changes
Notate admin privleges
Windows phase install hooks
Find external python and install ninja (#23496)
Allow external find python to find windows python and spack install ninja
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Betsy McPhail <betsy.mcphail@kitware.com>
CMake - Windows Bootstrap (#25825)
Remove hardcoded cmake compiler (#26410)
Revert breaking cmake changes
Ensure no autotools on Windows
Perl on Windows (#26612)
Python source build windows (#26313)
Reconfigure sysconf for Windows
Python2.6 compatibility
Fxixup new sbang tests for windows
Ruby support (#28287)
Add NASM support (#28319)
Add mock Ninja package for testing
MSVC's internal CMake and Ninja now detected by spack external find and added to packages.yaml
Saving progress on packaging zlib for Windows
Fixing the shared CMake flag
* Loading Intel's ifx Fortran compiler into MSVC; if there are multiple
versions of MSVC installed and detected, ifx will only be placed into
the first block written in compilers.yaml. The version number of ifx can
be detected using MSVC's version flag (instead of /QV) by using
ignore_version_errors. This commit also provides support for detection
of Intel compilers in their own compiler block by adding ifx.exe to the
fc/f77_name blocks inside intel.py
* Giving CMake a Fortran compiler argument
* Adding patch file for removing duplicated mangling header for versions 3.9.1 and older; static and shared now successfully building on Windows
* Have netlib-lapack depend on ninja@1.10
Co-authored-by: John R. Cary <cary@txcorp.com>
Co-authored-by: Jared Popelar <jpopelar@txcorp.com>
Making a default config.yaml for Windows
Small path length for build_stage
Provide more prerequisite details, mention default config.yaml
Killing an unnecessary setvars call
Replacing some lost changes, proofreading, updating windows-supported package list
Co-authored-by: John Parent <john.parent@kitware.com>
* Add 'make-installer' command for Windows
* Add '--bat' arg to env activate, env deactivate and unload commands
* An equivalent script to setup-env on linux: spack_cmd.bat. This script
has a wrapper to evaluate cd, load/unload, env activate/deactivate.(#21734)
* Add spacktivate and config editor (#22049)
* spack_cmd: will find python and spack on its own. It preferentially
tries to use python on your PATH (#22414)
* Ignore Windows python installer if found (#23134)
* Bundle git in windows installer (#23597)
* Add Windows section to Getting Started document
(#23131), (#23295), (#24240)
Co-authored-by: Stephen Crowell <stephen.crowell@kitware.com>
Co-authored-by: lou.lawrence@kitware.com <lou.lawrence@kitware.com>
Co-authored-by: Betsy McPhail <betsy.mcphail@kitware.com>
Co-authored-by: Jared Popelar <jpopelar@txcorp.com>
Co-authored-by: Ben Cowan <benc@txcorp.com>
Update Installer CI
Co-authored-by: John Parent <john.parent@kitware.com>
* environment.py: allow link:run
Some users want minimal views, excluding run-type dependencies, since
those type of dependencies are covered by rpaths and the symlinked
libraries in the view aren't used anyways.
With this change, an environment like this:
```
spack:
specs: ['py-flake8']
view:
default:
root: view
link: run
```
includes python packages and python, but no link type deps of python.
* extensions: allow multiple "extends" directives
This will allow multiple extends directives in a package as long as only one of
them is selected as a dependency in the concrete spec.
* document the option to have multiple extends
* Add 'stable' to the list of infinity version names.
Rename libunwind 1.5-head to 1.5-stable.
* Add stable to the infinite version list in packaging_guide.rst.
* Add sticky variants
* Add unit tests for sticky variants
* Add documentation for sticky variants
* Revert "Revert 19736 because conflicts are avoided by clingo by default (#26721)"
This reverts commit 33ef7d57c1.
* Add stickiness to "allow-unsupported-compiler"
* Use pip to bootstrap pip
* Bootstrap wheel from source
* Update PythonPackage to install using pip
* Update several packages
* Add wheel as base class dep
* Build phase no longer exists
* Add py-poetry package, fix py-flit-core bootstrapping
* Fix isort build
* Clean up many more packages
* Remove unused import
* Fix unit tests
* Don't directly run setup.py
* Typo fix
* Remove unused imports
* Fix issues caught by CI
* Remove custom setup.py file handling
* Use PythonPackage for installing wheels
* Remove custom phases in PythonPackages
* Remove <phase>_args methods
* Remove unused import
* Fix various packages
* Try to test Python packages directly in CI
* Actually run the pipeline
* Fix more packages
* Fix mappings, fix packages
* Fix dep version
* Work around bug in concretizer
* Various concretization fixes
* Fix gitlab yaml, packages
* Fix typo in gitlab yaml
* Skip more packages that fail to concretize
* Fix? jupyter ecosystem concretization issues
* Solve Jupyter concretization issues
* Prevent duplicate entries in PYTHONPATH
* Skip fenics-dolfinx
* Build fewer Python packages
* Fix missing npm dep
* Specify image
* More package fixes
* Add backends for every from-source package
* Fix version arg
* Remove GitLab CI stuff, add py-installer package
* Remove test deps, re-add install_options
* Function declaration syntax fix
* More build fixes
* Update spack create template
* Update PythonPackage documentation
* Fix documentation build
* Fix unit tests
* Remove pip flag added only in newer pip
* flux: add explicit dependency on jsonschema
* Update packages that have been added since this was branched off of develop
* Move Python 2 deprecation to a separate PR
* py-neurolab: add build dep on py-setuptools
* Use wheels for pip/wheel
* Allow use of pre-installed pip for external Python
* pip -> python -m pip
* Use python -m pip for all packages
* Fix py-wrapt
* Add both platlib and purelib to PYTHONPATH
* py-pyyaml: setuptools is needed for all versions
* py-pyyaml: link flags aren't needed
* Appease spack audit packages
* Some build backend is required for all versions, distutils -> setuptools
* Correctly handle different setup.py filename
* Use wheels for py-tomli to avoid circular dep on py-flit-core
* Fix busco installation procedure
* Clarify things in spack create template
* Test other Python build backends
* Undo changes to busco
* Various fixes
* Don't test other backends
When `spack compiler list` is run without being restricted to a
particular scope, and no compilers are found, say that none are
available, and hint that the use should run spack compiler find to
auto detect compilers.
* Improve docs
* Check if stdin is a tty
* add a test
Updates to installer.py did not account for spack monitor, so as currently implemented
there are three cases of failure that spack monitor will not account for. To fix this we add additional
hooks, including an on cancel and also do a custom action on concretization fail.
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
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
See #25249 and https://github.com/spack/spack/pull/27159#issuecomment-958163679.
This adds `spack load --list` as an alias for `spack find --loaded`. The new command is
not as powerful as `spack find --loaded`, as you can't combine it with all the queries or
formats that `spack find` provides. However, it is more intuitively located in the command
structure in that it appears in the output of `spack load --help`.
The idea here is that people can use `spack load --list` for simple stuff but fall back to
`spack find --loaded` if they need more.
- add help to `spack load --list` that references `spack find`
- factor some parts of `spack find` out to be called from `spack load`
- add shell tests
- update docs
Co-authored-by: Peter Josef Scheibel <scheibel1@llnl.gov>
Co-authored-by: Richarda Butler <39577672+RikkiButler20@users.noreply.github.com>
A common question from users has been how to model variants
that are new in new versions of a package, or variants that are
dependent on other variants. Our stock answer so far has been
an unsatisfying combination of "just have it do nothing in the old
version" and "tell Spack it conflicts".
This PR enables conditional variants, on any spec condition. The
syntax is straightforward, and matches that of previous features.
There were some loose ends left in ##26735 that cause errors when
using `SPACK_DISABLE_LOCAL_CONFIG`.
- [x] Fix hard-coded `~/.spack` references in `install_test.py` and `monitor.py`
Also, if `SPACK_DISABLE_LOCAL_CONFIG` is used, there is the issue that
`$user_config_path`, when used in configuration files, makes no sense,
because there is no user config scope.
Since we already have `$user_cache_path` in configuration files, and since there
really shouldn't be *any* data stored in a configuration scope (which is what
you'd configure in `config.yaml`/`bootstrap.yaml`/etc., this just removes
`$user_config_path`.
There will *always* be a `$user_cache_path`, as Spack needs to write files, but
we shouldn't rely on the existence of a particular configuration scope in the
Spack code, as scopes are configurable, both in number and location.
- [x] Remove `$user_config_path` substitution.
- [x] Fix reference to `$user_config_path` in `etc/spack/deaults/bootstrap.yaml`
to refer to `$user_cache_path`, which is where it was intended to be.
Spack's `system` and `user` scopes provide ways for administrators and
users to set global defaults for all Spack instances, but for use cases
where one wants a clean Spack installation, these scopes can be undesirable.
For example, users may want to opt out of global system configuration, or
they may want to ignore their own home directory settings when running in
a continuous integration environment.
Spack also, by default, keeps various caches and user data in `~/.spack`,
but users may want to override these locations.
Spack provides three environment variables that allow you to override or
opt out of configuration locations:
* `SPACK_USER_CONFIG_PATH`: Override the path to use for the
`user` (`~/.spack`) scope.
* `SPACK_SYSTEM_CONFIG_PATH`: Override the path to use for the
`system` (`/etc/spack`) scope.
* `SPACK_DISABLE_LOCAL_CONFIG`: set this environment variable to completely
disable *both* the system and user configuration directories. Spack will
only consider its own defaults and `site` configuration locations.
And one that allows you to move the default cache location:
* `SPACK_USER_CACHE_PATH`: Override the default path to use for user data
(misc_cache, tests, reports, etc.)
With these settings, if you want to isolate Spack in a CI environment, you can do this:
export SPACK_DISABLE_LOCAL_CONFIG=true
export SPACK_USER_CACHE_PATH=/tmp/spack
This is a stop-gap approach until we have figured out how to deal with
the system and user config scopes more generally, as there are plans to
potentially / eventually get rid of them.
**User config**
Spack is a bit of a pain when you have:
- a shared $HOME folder across different systems.
- multiple Spack versions on the same system.
**System config**
- On shared systems with a versioned programming environment / toolkit,
system administrators want to provide config for each version (e.g.
21.09, 21.10) of the programming environment, and the user Spack
instance should be able to pick this up without a steep learning
curve.
- On shared systems the user should be able to opt out of the
hard-coded config scope in /etc/spack, since it may be incompatible
with their particular instance. Currently Spack can only opt out of all
config scopes through overrides with `"config:":`, `"packages:":`, but that
also drops the defaults config, which would have to be repeated, which
is undesirable, especially the lengthy packages.yaml.
An example use case is: having config in this folder:
```
/path/to/programming/environment/{version}/{compilers,packages}.yaml
```
and have `module load spack-system-config` set the variable
```
SPACK_SYSTEM_CONFIG_PATH=/path/to/programming/environment/{version}
```
where the user no longer has to worry about what `{version}` they are
on.
**Continuous integration**
Finally, there is the use case of continuous integration, which may
clone an arbitrary Spack version, which optimally should not pick up
system or user config from the previous run (like may happen in
classical bare metal non-containerized filesystem side effect ridden
jenkins pipelines). In fact this is very similar to how spack itself
tries to avoid picking up system dependencies during builds...
**But environments solve this?**
- You could do `include`s in environment files to get similar behavior
to the spack_system_config_path example, but environments require you
to:
1) require paths to individual config files, not directories.
2) fail if the listed config file does not exist
- They allow you to override config scopes, but this is generally too
rigurous, as it requires you to repeat the default config, in
particular packages.yaml, and just defies the point of layered config.
Co-authored-by: Tom Scogland <tscogland@llnl.gov>
Co-authored-by: Tim Fuller <tjfulle@sandia.gov>
Co-authored-by: Steve Leak <sleak@lbl.gov>
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
Any spec satisfying a default will be symlinked to `default`
If multiple specs have modulefiles in the same directory and satisfy
configured module defaults, then whichever was written last will be
default.
This PR permits to specify the `url` and `ref` of the Spack instance used in a container recipe simply by expanding the YAML schema as outlined in #20442:
```yaml
container:
images:
os: amazonlinux:2
spack:
ref: develop
resolve_sha: true
```
The `resolve_sha` option, if true, verifies the `ref` by cloning the Spack repository in a temporary directory and transforming any tag or branch name to a commit sha. When this new ability is leveraged an additional "bootstrap" stage is added, which builds an image with Spack setup and ready to install software. The Spack repository to be used can be customized with the `url` keyword under `spack`.
Modifications:
- [x] Permit to pin the version of Spack, either by branch or tag or sha
- [x] Added a few new OSes (centos:8, amazonlinux:2, ubuntu:20.04, alpine:3, cuda:11.2.1)
- [x] Permit to print the bootstrap image as a standalone
- [x] Add documentation on the new part of the schema
- [x] Add unit tests for different use cases
* downgrade_docutils_version
* invalid version
* Update requirements.txt
* Improve spelling and shorten the reference link
* Update spack.yaml
* update version requirement
* update version to maximum of 0.16
Co-authored-by: bernhardkaindl <43588962+bernhardkaindl@users.noreply.github.com>
Using the Spec.constrain method doesn't work since it might
trigger a repository lookup which could break our directives
and triggers a circular import error.
To fix that we introduce a function to merge abstract anonymous
specs, based only on package names, which does not perform any
lookup in the repository.
The `find` command was missing for the examples forcing colorized output. Without this (or another suitable) command, spack produces output that is not using any color. Thus, without the `find` command one does not see any difference between forced colorized and non-colorized output.
Installing packages with a lot of dependencies does not have an easy way
of judging the current progress (apart from running `spack spec -I pkg`
in another terminal). This change allows Spack to update the terminal's
title with status information, including its current progress as well as
information about the current and total number of packages.
The `spack.architecture` module contains an `Arch` class that is very similar to `spack.spec.ArchSpec` but points to platform, operating system and target objects rather than "names". There's a TODO in the class since 2016:
abb0f6e27c/lib/spack/spack/architecture.py (L70-L75)
and this PR basically addresses that. Since there are just a few places where the `Arch` class was used, here we query the relevant platform objects where they are needed directly from `spack.platforms`. This permits to clean the code from vestigial logic.
Modifications:
- [x] Remove the `spack.architecture` module and replace its use by `spack.platforms`
- [x] Remove unneeded tests
* Isolate bootstrap configuration from user configuration
* Search for build dependencies automatically if bootstrapping from sources
The bootstrapping logic will search for build dependencies
automatically if bootstrapping anything form sources. Any
external spec, if found, is written in a scope that is specific
to bootstrapping.
* Don't clean the bootstrap store with "spack clean -a"
* Copy bootstrap.yaml and config.yaml in the bootstrap area
* Use gnuconfig package for config file replacement
Currently the autotools build system tries to pick up config.sub and
config.guess files from the system (in /usr/share) on arm and power.
This is introduces an implicit system dependency which we can avoid by
distributing config.guess and config.sub files in a separate package,
such as the new `gnuconfig` package which is very lightweight/text only
(unlike automake where we previously pulled these files from as a
backup). This PR adds `gnuconfig` as an unconditional build dependency
for arm and power archs.
In case the user needs a system version of config.sub and config.guess,
they are free to mark `gnuconfig` as an external package with the prefix
pointing to the directory containing the config files:
```yaml
gnuconfig:
externals:
- spec: gnuconfig@master
prefix: /tmp/tmp.ooBlkyAKdw/lol
buildable: false
```
Apart from that, this PR gives some better instructions for users when
replacing config files goes wrong.
* Mock needs this package too now, because autotools adds a depends_on
* Add documentation
* Make patch_config_files a prop, fix the docs, add integrations tests
* Make macOS happy
* autotoolspackage.rst: No depends_on('m4') with depends_on('autoconf')
- Remove `m4` from the example depends_on() lines for the autoreconf phase.
- Change the branch used as example from develop to master as it is
far more common in the packages of spack's builtin repo.
- Fix the wrong info that libtoolize and aclocal are run explicitly
in the autoreconf phase by default. autoreconf calls these internally
as needed, thus autotools.py also does not call them directly.
- Add that autoreconf() also adds -I<aclocal-prefix>/share/aclocal.
- Add an example how to set autoreconf_extra_args.
- Add an example of a custom autoreconf phase for running autogen.sh.
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
Git 2.24 introduced a feature flag for repositories with many files, see:
https://github.blog/2019-11-03-highlights-from-git-2-24/#feature-macros
Since Spack's Git repository contains roughly 8,500 files, it can be
worthwhile to enable this, especially on slow file systems such as NFS:
```
$ hyperfine --warmup 3 'cd spack-default; git status' 'cd spack-manyfiles; git status'
Benchmark #1: cd spack-default; git status
Time (mean ± σ): 3.388 s ± 0.095 s [User: 256.2 ms, System: 625.8 ms]
Range (min … max): 3.168 s … 3.535 s 10 runs
Benchmark #2: cd spack-manyfiles; git status
Time (mean ± σ): 168.7 ms ± 10.9 ms [User: 98.6 ms, System: 126.1 ms]
Range (min … max): 144.8 ms … 188.0 ms 19 runs
Summary
'cd spack-manyfiles; git status' ran
20.09 ± 1.42 times faster than 'cd spack-default; git status'
```
* Refactor platform etc. to avoid circular dependencies
All the base classes in spack.architecture have been
moved to the corresponding specialized subpackages,
e.g. Platform is now defined within spack.platforms.
This resolves a circular dependency where spack.architecture
was both:
- Defining the base classes for spack.platforms, etc.
- Collecting derived classes from spack.platforms, etc.
Now it dopes only the latter.
* Move a few platform related functions to "spack.platforms"
* Removed spack.architecture.sys_type()
* Fixup for docs
* Rename Python modules according to review
* 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
The output order for `spack diff` is nondeterministic for larger diffs -- if you
ran it several times it will not put the fields in the spec in the same order on
successive invocations.
This makes a few fixes to `spack diff`:
- [x] Implement the change discussed in https://github.com/spack/spack/pull/22283#discussion_r598337448
to make `AspFunction` comparable in and of itself and to eliminate the need for `to_tuple()`
- [x] Sort the lists of diff properties so that the output is always in the same order.
- [x] Make the output for different fields the same as what we use in the solver. Previously, we
would use `Type(value)` for non-string values and `value` for strings. Now we just use
the value. So the output looks a little cleaner:
```
== Old ========================== == New ====================
@@ node_target @@ @@ node_target @@
- gdbm Target(x86_64) - gdbm x86_64
+ zlib Target(skylake) + zlib skylake
@@ variant_value @@ @@ variant_value @@
- ncurses symlinks bool(False) - ncurses symlinks False
+ zlib optimize bool(True) + zlib optimize True
@@ version @@ @@ version @@
- gdbm Version(1.18.1) - gdbm 1.18.1
+ zlib Version(1.2.11) + zlib 1.2.11
@@ node_os @@ @@ node_os @@
- gdbm catalina - gdbm catalina
+ zlib catalina + zlib catalina
```
I suppose if we want to use `repr()` in the output we could do that and could be
consistent but we don't do that elsewhere -- the types of things in Specs are
all stringifiable so the string and the name of the attribute (`version`, `node_os`,
etc.) are sufficient to know what they are.
A `spack diff` will take two specs, and then use the spack.solver.asp.SpackSolverSetup to generate
lists of facts about each (e.g., nodes, variants, etc.) and then take a set difference between the
two to show the user the differences.
Example output:
$ spack diff python@2.7.8 python@3.8.11
==> Warning: This interface is subject to change.
--- python@2.7.8/tsxdi6gl4lihp25qrm4d6nys3nypufbf
+++ python@3.8.11/yjtseru4nbpllbaxb46q7wfkyxbuvzxx
@@ variant_value @@
- python patches a8c52415a8b03c0e5f28b5d52ae498f7a7e602007db2b9554df28cd5685839b8
+ python patches 0d98e93189bc278fbc37a50ed7f183bd8aaf249a8e1670a465f0db6bb4f8cf87
@@ version @@
- openssl Version(1.0.2u)
+ openssl Version(1.1.1k)
- python Version(2.7.8)
+ python Version(3.8.11)
Currently this uses diff-like output but we will attempt to improve on this in the future.
One use case for `spack diff` is whenever a user has a disambiguate situation and cannot
remember how two different installs are different. The command can also output `--json` in
the case of a more analysis type use case where we want to save complete data with all
diffs and the intersection. However, the command is really more intended for a command
line use case, and we likely will have an analyzer more suited to saving data
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: Tamara Dahlgren <35777542+tldahlgren@users.noreply.github.com>
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
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>
015e29efe1 that introduced this section to the
documentation said “two” here instead of the actual count, three.
9f54cea5c5 then added a fourth, BLAS/LAPACK.
Rather than trying to keep this leading count in sync, this change just replaces
the wording with something more generic/stable.
* 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.
This PR adds a context manager that permit to group the common part of a `when=` argument and add that to the context:
```python
class Gcc(AutotoolsPackage):
with when('+nvptx'):
depends_on('cuda')
conflicts('@:6', msg='NVPTX only supported in gcc 7 and above')
conflicts('languages=ada')
conflicts('languages=brig')
conflicts('languages=go')
```
The above snippet is equivalent to:
```python
class Gcc(AutotoolsPackage):
depends_on('cuda', when='+nvptx')
conflicts('@:6', when='+nvptx', msg='NVPTX only supported in gcc 7 and above')
conflicts('languages=ada', when='+nvptx')
conflicts('languages=brig', when='+nvptx')
conflicts('languages=go', when='+nvptx')
```
which needs a repetition of the `when='+nvptx'` argument. The context manager might help improving readability and permits to group together directives related to the same semantic aspect (e.g. all the directives needed to model the behavior of `gcc` when `+nvptx` is active).
Modifications:
- [x] Added a `when` context manager to be used with package directives
- [x] Add unit tests and documentation for the new feature
- [x] Modified `cp2k` and `gcc` to show the use of the context manager
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.
Add a new "spack audit" command. This command can check for issues
with configuration or with packages and is intended to help a
user debug a failed Spack build.
In some cases the reported issues are always errors but are too
costly to check for (e.g. packages that specify missing variants on
dependencies). In other cases the issues may be legitimate but
uncommon usage of Spack and we want to be sure the user intended the
behavior (e.g. duplicate compiler definitions).
Audits are grouped by theme, and for now the two themes are packages
and configuration. For example you can run all available audits
on packages with "spack audit packages". It is intended that in
the future users will be able to define their own audits.
The package audits are good candidates for running in package_sanity
(i.e. they could catch bugs in user-submitted packages before they
are merged) but that is left for a later PR.
This should get us most of the way there to support using monitor during a spack container build, for both Singularity and Docker. Some quick notes:
### Docker
Docker works by way of BUILDKIT and being able to specify --secret. What this means is that you can prefix a line with a mount of type secret as follows:
```bash
# Install the software, remove unnecessary deps
RUN --mount=type=secret,id=su --mount=type=secret,id=st cd /opt/spack-environment && spack env activate . && export SPACKMON_USER=$(cat /run/secrets/su) && export SPACKMON_TOKEN=$(cat /run/secrets/st) && spack install --monitor --fail-fast && spack gc -y
```
Where the id for one or more secrets corresponds to the file mounted at `/run/secrets/<name>`. So, for example, to build this container with su (spackmon user) and sv (spackmon token) defined I would export them on my host and do:
```bash
$ DOCKER_BUILDKIT=1 docker build --network="host" --secret id=st,env=SPACKMON_TOKEN --secret id=su,env=SPACKMON_USER -t spack/container .
```
And when we add `env` to the secret definition that tells the build to look for the secret with id "st" in the environment variable `SPACKMON_TOKEN` for example.
If the user is building locally with a local spack monitor, we also need to set the `--network` to be the host, otherwise you can't connect to it (a la isolation of course.)
## Singularity
Singularity doesn't have as nice an ability to clearly specify secrets, so (hoping this eventually gets implemented) what I'm doing now is providing the user instructions to write the credentials to a file, add it to the container to source, and remove when done.
## Tags
Note that the tags PR https://github.com/spack/spack/pull/23712 will need to be merged before `--monitor-tags` will actually work because I'm checking for the attribute (that doesn't exist yet):
```bash
"tags": getattr(args, "monitor_tags", None)
```
So when that PR is merged to update the argument group, it will work here, and I can either update the PR here to not check if the attribute is there (it will be) or open another one in the case this PR is already merged.
Finally, I added a bunch of documetation for how to use monitor with containerize. I say "mostly working" because I can't do a full test run with this new version until the container base is built with the updated spack (the request to the monitor server for an env install was missing so I had to add it here).
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
this will first support uploads for spack monitor, and eventually could be
used for other kinds of spack uploads
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
* extending example for buildcaches
I was attempting to create a local build cache from a directory, and I found the
docs for both buildcaches and mirrors, but did not connect the docs that the
url variable could be the local filesystem variable. I am extending the docs for
buildcaches with an example of creating and interacting with one on the filesystem
because I suspect other users will run into this need and possibly not find what
they are looking for.
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
* adding as follows to spack mirror list
Co-authored-by: Tamara Dahlgren <35777542+tldahlgren@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: Tamara Dahlgren <35777542+tldahlgren@users.noreply.github.com>
It is currently kind of confusing to the reader to distinguish spack buildcache install
and spack install, and it is not clear how to use a build cache once a mirror is added.
Hopefully this little big of description can help (and I hope I got it right!)
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
This PR allows users to `--export`, `--export-secret`, or both to export GPG keys
from Spack. The docs are updated that include a warning that this usually does not
need to be done.
This addresses an issue brought up in slack, and also represented in #14721.
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
Currently, module configurations are inconsistent because modulefiles are generated with the configs for the active environment, but are shared among all environments (and spack outside any environment).
This PR fixes that by allowing Spack environments (or other spack config scopes) to define additional sets of modules to generate. Each set of modules can enable either lmod or tcl modules, and contains all of the previously available module configuration. The user defines the name of each module set -- the set configured in Spack by default is named "default", and is the one returned by module manipulation commands in the absence of user intervention.
As part of this change, the module roots configuration moved from the config section to inside each module configuration.
Additionally, it adds a feature that the modulefiles for an environment can be configured to be relative to an environment view rather than the underlying prefix. This will not be enabled by default, as it should only be enabled within an environment and for non-default views constructed with separate projections per-spec.
### Overview
The goal of this PR is to make gitlab pipeline builds (especially build failures) more reproducible outside of the pipeline environment. The two key changes here which aim to improve reproducibility are:
1. Produce a `spack.lock` during pipeline generation which is passed to child jobs via artifacts. This concretized environment is used both by generated child jobs as well as uploaded as an artifact to be used when reproducing the build locally.
2. In the `spack ci rebuild` command, if a spec needs to be rebuilt from source, do this by generating and running an `install.sh` shell script which is then also uploaded as a job artifact to be run during local reproduction.
To make it easier to take advantage of improved build reproducibility, this PR also adds a new subcommand, `spack ci reproduce-build`, which, given a url to job artifacts:
- fetches and unzips the job artifacts to a local directory
- looks for the generated pipeline yaml and parses it to find details about the job to reproduce
- attempts to provide a copy of the same version of spack used in the ci build
- if the ci build used a docker image, the command prints a `docker run` command you can run to get an interactive shell for reproducing the build
#### Some highlights
One consequence of this change will be much smaller pipeline yaml files. By encoding the concrete environment in a `spack.lock` and passing to child jobs via artifacts, we will no longer need to encode the concrete root of each spec and write it into the job variables, greatly reducing the size of the generated pipeline yaml.
Additionally `spack ci rebuild` output (stdout/stderr) is no longer internally redirected to a log file, so job output will appear directly in the gitlab job trace. With debug logging turned on, this often results in log files getting truncated because they exceed the maximum amount of log output gitlab allows. If this is a problem, you still have the option to `tee` command output to a file in the within the artifacts directory, as now each generated job exposes a `user_data` directory as an artifact, which you can fill with whatever you want in your custom job scripts.
There are some changes to be aware of in how pipelines should be set up after this PR:
#### Pipeline generation
Because the pipeline generation job now writes a `spack.lock` artifact to be consumed by generated downstream jobs, `spack ci generate` takes a new option `--artifacts-root`, inside which it creates a `concrete_env` directory to place the lockfile. This artifacts root directory is also where the `user_data` directory will live, in case you want to generate any custom artifacts. If you do not provide `--artifacts-root`, the default is for it to create a `jobs_scratch_dir` within your `CI_PROJECT_DIR` (a gitlab predefined environment variable) or whatever is your current working directory if that variable isn't set. Here's the diff of the PR testing `.gitlab-ci.yml` taking advantage of the new option:
```
$ git diff develop..pipelines-reproducible-builds share/spack/gitlab/cloud_pipelines/.gitlab-ci.yml
diff --git a/share/spack/gitlab/cloud_pipelines/.gitlab-ci.yml b/share/spack/gitlab/cloud_pipelines/.gitlab-ci.yml
index 579d7b56f3..0247803a30 100644
--- a/share/spack/gitlab/cloud_pipelines/.gitlab-ci.yml
+++ b/share/spack/gitlab/cloud_pipelines/.gitlab-ci.yml
@@ -28,10 +28,11 @@ default:
- cd share/spack/gitlab/cloud_pipelines/stacks/${SPACK_CI_STACK_NAME}
- spack env activate --without-view .
- spack ci generate --check-index-only
+ --artifacts-root "${CI_PROJECT_DIR}/jobs_scratch_dir"
--output-file "${CI_PROJECT_DIR}/jobs_scratch_dir/cloud-ci-pipeline.yml"
artifacts:
paths:
- - "${CI_PROJECT_DIR}/jobs_scratch_dir/cloud-ci-pipeline.yml"
+ - "${CI_PROJECT_DIR}/jobs_scratch_dir"
tags: ["spack", "public", "medium", "x86_64"]
interruptible: true
```
Notice how we replaced the specific pointer to the generated pipeline file with its containing folder, the same folder we passed as `--artifacts-root`. This way anything in that directory (the generated pipeline yaml, as well as the concrete environment directory containing the `spack.lock`) will be uploaded as an artifact and available to the downstream jobs.
#### Rebuild jobs
Rebuild jobs now must activate the concrete environment created by `spack ci generate` and provided via artifacts. When the pipeline is generated, a directory called `concrete_environment` is created within the artifacts root directory, and this is where the `spack.lock` file is written to be passed to the generated rebuild jobs. The artifacts root directory can be specified using the `--artifacts-root` option to `spack ci generate`, otherwise, it is assumed to be `$CI_PROJECT_DIR`. The directory containing the concrete environment files (`spack.yaml` and `spack.lock`) is then passed to generated child jobs via the `SPACK_CONCRETE_ENV_DIR` variable in the generated pipeline yaml file.
When you don't provide custom `script` sections in your `mappings` within the `gitlab-ci` section of your `spack.yaml`, the default behavior of rebuild jobs is now to change into `SPACK_CONCRETE_ENV_DIR` and activate that environment. If you do provide custom rebuild scripts in your `spack.yaml`, be aware those scripts should do the same thing: assume `SPACK_CONCRETE_ENV_DIR` contains the concretized environment to activate. No other changes to existing custom rebuild scripts should be required as a result of this PR.
As mentioned above, one key change made in this PR is the generation of the `install.sh` script by the rebuild jobs, as that same script is both run by the CI rebuild job as well as exported as an artifact to aid in subsequent attempts to reproduce the build outside of CI. The generated `install.sh` script contains only a single `spack install` command with arguments computed by `spack ci rebuild`. If the install fails, the job trace in gitlab will contain instructions on how to reproduce the build locally:
```
To reproduce this build locally, run:
spack ci reproduce-build https://gitlab.next.spack.io/api/v4/projects/7/jobs/240607/artifacts [--working-dir <dir>]
If this project does not have public pipelines, you will need to first:
export GITLAB_PRIVATE_TOKEN=<generated_token>
... then follow the printed instructions.
```
When run locally, the `spack ci reproduce-build` command shown above will download and process the job artifacts from gitlab, then print out instructions you can copy-paste to run a local reproducer of the CI job.
This PR includes a few other changes to the way pipelines work, see the documentation on pipelines for more details.
This PR erelies on
~- [ ] #23194 to be able to refer to uninstalled specs by DAG hash~
EDIT: that is going to take longer to come to fruition, so for now, we will continue to install specs represented by a concrete `spec.yaml` file on disk.
- [x] #22657 to support install a single spec already present in the active, concrete environment
I would like to be able to export (and save and then load programatically)
spack blame metadata, so this commit adds a spack blame --json argument,
along with developer docs for it
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
This work will come in two phases. The first here is to allow saving of a local result
with spack monitor, and the second will add a spack monitor command so the user can
do spack monitor upload.
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
Co-authored-by: vsoch <vsoch@users.noreply.github.com>
Bash has a builtin `fc` that will override the compiler if you use "fc",
so it's better to use the full spack-supplied compiler path.
Additionally, the filter regex in the docs was wrong: it replaced the
entire assignment operation with the RHS.
* Modification to R environment
This PR modifies how the R environmnet is presented, and fixes
installing the standalone Rmath library.
- The Rmath build and install methods are combined into one
- Set parallel=False when installing Rmath
- remove the run environment that set up variables for libraries and
headers that are not really needed, and pollute the environment.
* Add setup_run_environment back
- Add back the setup_run_environment with LD_LIBRARY_PATH and
PKG_CONFIG_PATH.
- Adjust documentation to reflect the current code.
There have been a lot of questions and some confusion recently surrounding Spack installation test capabilities so this PR is intended to clean up and refine the documentation for "Checking an installation".
It aims to better distinguish between checks that are performed during an installation (i.e., build-time tests) and those that can be done days and weeks after the software has been installed (i.e., install (or smoke) tests).
In an active concretize environment, support installing one or more
cli specs only if they are already present in the environment. The
`--no-add` option is the default for root specs, but optional for
dependency specs. I.e. if you `spack install <depspec>` in an
environment, the dependency-only spec `depspec` will be added as a
root of the environment before being installed. In addition,
`spack install --no-add <spec>` fails if it does not find an
unambiguous match for `spec`.
This is as much a question as it is a minor fine-tuning of the docs. I've been known to add things to an environment by editing the `spack.yaml` file directly. When I read the previous version of this sentence, I was afraid that `spack add` was actually doing *two* things, modifying the `spack.yaml` and updating something else that defined the roots of the Environment. A bit of experimentation suggests that editing the `spack.yaml` file is sufficient to change the roots.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
This provides initial support for [spack monitor](https://github.com/spack/spack-monitor), a web application that stores information and analysis about Spack installations. Spack can now contact a monitor server and upload analysis -- even after a build is already done.
Specifically, this adds:
- [x] monitor options for `spack install`
- [x] `spack analyze` command
- [x] hook architecture for analyzers
- [x] separate build logs (in addition to the existing combined log)
- [x] docs for spack analyze
- [x] reworked developer docs, with hook docs
- [x] analyzers for:
- [x] config args
- [x] environment variables
- [x] installed files
- [x] libabigail
There is a lot more information in the docs contained in this PR, so consult those for full details on this feature.
Additional tests will be added in a future PR.
* Clarify stub compiler definition in compilers.yaml
* Update explanation of why stub compiler definition is needed
* Add note about required module definition when using Spack-installed
intel-parallel-studio as intel-compiler
* Add suggestion about updating package config preferences based on
choice of variants when installing intel-parallel-studio to avoid
reinstallation
- Use debugoptimized as default build type, just like RelWithDebInfo for cmake
- Do not strip by default, and add a default_library variant which conveniently support both shared and static
* Make -j flag less exceptional
The -j flag in spack behaves differently from make, ctest, ninja, etc,
because it caps the number of jobs to an arbitrary number 16.
Spack will behave like other tools if `spack install` uses a reasonable
default, and `spack install -j <num>` *overrides* that default.
This will be particularly useful for Spack usage outside of a traditional
HPC context and for HPC centers that encourage users to compile on
login nodes with many cores instead of on compute nodes, which has
become increasingly common as individual nodes have more cores.
This maintains the existing default value of min(num_cpus, 16). However,
as it is right now, Spack does a poor job at determining the number of
cpus on linux, since it doesn't take cgroups into account. This is
particularly problematic when using distributed builds with slurm. This PR
also introduces `spack.util.cpus.cpus_available()` to consolidate
knowledge on determining the number of available cores, and improves
core detection for linux. This should also improve core detection for Docker/
Kubernetes, which also use cgroups.
* Replace URL computation in base IntelOneApiPackage class with
defining URLs in component packages (this is expected to be
simpler for now)
* Add component_dir property that all oneAPI component packages must
define. This property names a directory that should exist after
installation completes (useful for making sure the install was
successful) and also defines the search location for the
component's environment update script.
* Add needed dependencies for components (e.g. intel-oneapi-dnn
requires intel-oneapi-tbb). The compilers provided by
intel-oneapi-compilers need some components under certain
circumstances (e.g. when enabling SYCL support) but these were
omitted since the libraries should only be linked when a
dependent package requests that feature
* Remove individual setup_run_environment implementations and use
IntelOneApiPackage superclass method which sources vars.sh
(located in a subdirectory of component_dir)
* Add documentation for IntelOneApiPackge build system
Co-authored-by: Vasily Danilin <vasily.danilin@yandex.ru>
* Improve R package creation
This PR adds the `list_url` attribute to CRAN R packages when using
`spack create`. It also adds the `git` attribute to R Bioconductor
packages upon creation.
* Switch over to using cran/bioc attributes
The cran/bioc entries are set to have the '=' line up with homepage
entry, but homepage does not need to exist in the package file. If it
does not, that could affect the alignment.
* Do not have to split bioc
* Edit R package documentation
Explain Bioconductor packages and add `cran` and `bioc` attributes.
* Update lib/spack/docs/build_systems/rpackage.rst
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update lib/spack/docs/build_systems/rpackage.rst
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Simplify the cran attribute
The version can be faked so that the cran attribute is simply equal to
the CRAN package name.
* Edit the docs to reflect new `cran` attribute format
* Use the first element of self.versions() for url
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* 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>
Pipelines: DAG pruning
During the pipeline generation staging process we check each spec against all configured mirrors to determine whether it is up to date on any of the mirrors. By default, and with the --prune-dag argument to "spack ci generate", any spec already up to date on at least one remote mirror is omitted from the generated pipeline. To generate jobs for up to date specs instead of omitting them, use the --no-prune-dag argument. To speed up the pipeline generation process, pass the --check-index-only argument. This will cause spack to check only remote buildcache indices and avoid directly fetching any spec.yaml files from mirrors. The drawback is that if the remote buildcache index is out of date, spec rebuild jobs may be scheduled unnecessarily.
This change removes the final-stage-rebuild-index block from gitlab-ci section of spack.yaml. Now rebuilding the buildcache index of the mirror specified in the spack.yaml is the default, unless "rebuild-index: False" is set. Spack assigns the generated rebuild-index job runner attributes from an optional new "service-job-attributes" block, which is also used as the source of runner attributes for another generated non-build job, a no-op job, which spack generates to avoid gitlab errors when DAG pruning results in empty pipelines.
The SPACK_PYTHON environment variable can be set to a python interpreter to be
used by the spack command. This allows the spack command itself to use a
consistent and separate interpreter from whatever python might be used for package
building.
* Procedure to deprecate old versions of software
* Add documentation
* Fix bug in logic
* Update tab completion
* Deprecate legacy packages
* Deprecate old mxnet as well
* More explicit docs
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").
- [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.
This adds a new `mark` command that can be used to mark packages as either
explicitly or implicitly installed. Apart from fixing the package
database after installing a dependency manually, it can be used to
implement upgrade workflows as outlined in #13385.
The following commands demonstrate how the `mark` and `gc` commands can be
used to only keep the current version of a package installed:
```console
$ spack install pkgA
$ spack install pkgB
$ git pull # Imagine new versions for pkgA and/or pkgB are introduced
$ spack mark -i -a
$ spack install pkgA
$ spack install pkgB
$ spack gc
```
If there is no new version for a package, `install` will simply mark it as
explicitly installed and `gc` will not remove it.
Co-authored-by: Greg Becker <becker33@llnl.gov>
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>
As of #18260, `spack load` and `spack env activate` now use
`prefix_inspections` from the modules configuration to decide
how to modify environment variables.
This updates the modules configuration documentation to describe
how to update environment variables with the `prefix_inspections`
section. This also updates the `spack load` and environments
documentation to refer to the new `prefix_inspections` documentation.
This PR reworks a few attributes in the container subsection of
spack.yaml to permit the injection of custom base images when
generating containers with Spack. In more detail, users can still
specify the base operating system and Spack version they want to use:
spack:
container:
images:
os: ubuntu:18.04
spack: develop
in which case the generated recipe will use one of the Spack images
built on Docker Hub for the build stage and the base OS image in the
final stage. Alternatively, they can specify explicitly the two
base images:
spack:
container:
images:
build: spack/ubuntu-bionic:latest
final: ubuntu:18.04
and it will be up to them to ensure their consistency.
Additional changes:
* This commit adds documentation on the two approaches.
* Users can now specify OS packages to install (e.g. with apt or yum)
prior to the build (previously this was only available for the
finalized image).
* Handles to avoid an update of the available system packages have been
added to the configuration to facilitate the generation of recipes
permitting deterministic builds.
