- split 'environment' section into 'environments' and 'modules'
- move location to 'query packages' section
- move cd to developer section
- --env-dir no longer has a short optino (was -E)
- -E now means "run without an environment" (no longer same as --env-dir)
- -D now means "run with this directory environment"
- remove short options for may infrequently used top-level commands
- `spack env status` used to show install status; consolidate that into
`spack find`.
- `spack env status` will still print out whether there is an active
environment
- uninstall now:
- restricts its spec search to the current environment
- removes uninstalled specs from the current environment
- reports envs that still need specs you're trying to uninstall
- removed spack env uninstall command
- updated tests
- moved get_env from cmd/env.py to environment.py
- spack install will now install into the active environment when no
arguments are provided. It looks:
1. at the command line
2. for a local spack.yaml file
3. for any currently activated environment
- `spack env create <name>` works as before
- `spack env create <path>` now works as well -- environments can be
created in their own directories outside of Spack.
- `spack install` will look for a `spack.yaml` file in the current
directory, and will install the entire project from the environment
- The Environment class has been refactored so that it does not depend on
the internal Spack environment root; it just takes a path and operates
on an environment in that path (so internal and external envs are
handled the same)
- The named environment interface has been hoisted to the
spack.environment module level.
- env.yaml is now spack.yaml in all places. It was easier to go with one
name for these files than to try to handle logic for both env.yaml and
spack.yaml.
- `spack env activate foo`: sets SPACK_ENV to the current active env name
- `spack env deactivate`: unsets SPACK_ENV, deactivates the environment
- added support to setup_env.sh and setup_env.csh
- other env commands work properly with SPACK_ENV, as with an environment
arguments.
- command-line --env arguments take precedence over the active
environment, if given.
- env.yaml is now meaningful; it contains authoritative user specs
- concretize diffs user specs in env.yaml and env.json to allow user to
add/remove by simply updating env.yaml
- comments are preserved when env.yaml is updated by add/unadd
- env.yaml can contain configuration and include external configuration
either from merged files or from config scopes
- there is only one file format to remember (env.yaml, no separate init
format)
- env.json is now env.lock, and it stores the *last* user specs to be
concretized, along with full provenance.
- internal structure was modified slightly for readability
- env.lock contains a _meta section with metadata, in case needed
- added more tests for environments
- env commands follow Spack conventions; no more `spack env foo install`
- add `SingleFileScope` to configuration, which allows us to pull config
sections from a single file.
- update `env.yaml` and tests to ensure that the env.yaml schema works
when pulling configurtion from the env file.
- Each schema now has a top-level `properties` and `schema` attribute.
- The `properties` is a fragment that can be included in other
jsonschemas, via Python, not via '$ref'
- Th `schema` is a complete `jsonschema` with `title` and `$schema`
properties.
- add a common argument for `-e/--env`
- modify the database to support queries on subsets of hashes
- allow `spack find` to be filtered by hashes in an environment
- logic used in `spack find` was hiding duplicate installations if their
hashes were different
- short hash doesn't work in this scenario, since specs are structurally
identical
- ConstraintAction always works on a DB query, so use the DAG hash to
ensure uniqueness
- `spack.environment` is now the home for most of the infrastructure
around Spack environments
- refactor `cmd/env.py` to use everything from spack.environment
- refactor the cmd/env test to use pytest and fixtures
- `spack.util.environment` is the new home for routines that modify
environment variables.
- This is to make room for `spack.environment` to contain new routines
for dealing with spack environments
- Instead of one method with all parsers, each subcommand gets two
functions: `setup_<cmd>_parser()` and `environment_<cmd>()`
- the `setup_parser()` and `env()` functions now generate the parser
based on these and a list of subcommands.
- it is now easier to associate the arguments with the subcommand.
* modified tutorial packages
* update hint in hdf5 tutorial file (typo for suggested argument)
* add repo.yaml to tutorial repository
* update tutorial docs to refer user to tutorial package repository
* flake edits
* recommend site scope vs. defaults
* you don't specify the repo's name when adding a repo, just the path
* omit symlinks and create file copies when making a binary cache of a package
* unrelated flake edits involving regexes that recent flake is now angry about
* Record stdout for packages without errors
Previously our reporter only stored stdout if something went wrong
while installing a package. This prevented us from properly reporting
on steps where everything went as expected.
* More robustly report all phases to CDash
Previously if a phase generated no output it would not be reported to CDash.
For example, consider the following output:
==> Executing phase: 'configure'
==> Executing phase: 'build'
This would not generate a report for the configure phase. Now it does.
* Add test case for CDash reporting clean builds
* Fix default directory for CDash reports
The default 'cdash_report' directory name was getting overwritten
by 'junit-report'.
* Upload the build phase first to CDash
Older versions of CDash expect Build.xml to be the first file uploaded
for any given build.
* Define cdash_phase before referring to it
fixes#9739
The non-daemonic pool relies heavily on implementation details of the
multiprocessing package. In this commit we provide an implementation
that fits recent python versions.
This allows installing software on a namespace basis by including ${NAMESPACE} in `install_path_scheme`. e.g.,
```
cat ~/.spack/config.yaml
config:
install_path_scheme:
"${ARCHITECTURE}/${NAMESPACE}/${COMPILERNAME}-${COMPILERVER}/${PACKAGE}-${VERSION}-${HASH}"
```
The 'static_to_shared_library' function takes a compiler Executable,
which is intended to be invoked with a list of arguments; the
arguments must be separated from their values in the list, given
the way that 'Executable.__call__' invokes the underlying executable.
'static_to_shared_library' was not doing this, which this commit fixes.
Clang has support for using different fortran compilers with the Clang executable.
Spack includes logic to select a compiler wrapper symlink which refers to the fortran executable (since some build systems depend on the name of the compiler, e.g. 'gfortran' or 'flang').
This selection was previously based on the architecture, and chose incorrectly in some situations (e.g. for clang/gfortran on Linux). This replaces architecture-based wrapper selection with a selection that is based on the name of the Fortran compiler executable.
