Implemented a declarative syntax for the additional behavior that can
get attached to classes. Implemented a function to filter compiler
wrappers that uses the mechanism above.
- command reference now includes usage for all Spack commands as output
by `spack help`. Each command usage links to any related section in
the docs.
- added `spack commands` command which can list command names,
subcommands, and generate RST docs for commands.
- added `llnl.util.argparsewriter`, which analyzes an argparse parser and
calls hooks for description, usage, options, and subcommands
- Shorten Spack command usage for short options. Short options are now
shown as [-abc] instead of as [-a] [-b] [-c]
- fix bug that mixed long and short options for top-level `spack help`
- Add proper help for `spack buildcache` subcommands
- Reorganize the help categories of Spack commands so that buildcache is
in packaging and diy and setup are now in build.
- previously commands with this argument showed a long list of choices
that were platform specific.
- use a better metavar: {defaults,system,site,user}[/PLATFORM]
* Remove variants disabling blas and lapack for py-numpy, issues
building these have been resolved
* For CMake greater than 3.10, FindMPI changed, so use
MPIEXE_EXECUTABLE instead of MPIEXE for 3.10 and newer
I think the main issue here is that we ship a custom version of a system
library (`argparse`), and this is prone to fail if `argparse` is
imported before we hack `sys.path` internally.
Probably a better solution would be not to customize argparse, but
instead have a wrapper on top of whatever the system provides.
fixes#7128
Before this PR packages that were indirectly dependent on python might
have failed due to inconsistency between the python found in the
environment and the standard libraries set in PYTHONHOME
This adds a static version of hpgmg (up to now only the latest commit
from the master branch was available). This also adds a debug variant
and sets optimization flags for ~debug when the compiler is gcc,
intel, or clang
Adds the latest release of libSplash (1.7.0) and newly learned
CMake flags for explicit dependency control.
Modifies HDF5 dependency: non-MPI splash does (and did) never run
with a parallel HDF5, due to it's internal cross-dependencies on
MPI.
Fixes#7159
When activating extensions in external views, the --ignore-conflicts
option was being ignored. In this particular issue the conflict was
for the duplicate __init__ file for multiple python packages in the
same namespace, but in general any conflict for extensions would
cause an error whether or not --ignore-conflicts was set.
This also renames the 'force' option of do_activate to
'with_dependencies' and updates views to call do_activate with this
set to False (since it traverses the dependency dag anyway). This
isn't strictly required, it just avoids redundant calls.
This reorganizes most sections and rewords a significant portion of
the content (including all introductions) but keeps all the examples.
* Remove section 'What happens at subscript time' from tutorial:
it is too detailed for a tutorial
* Move the 'Extra query parameters' and 'Attach attributes to other
packages' sections into a separate grouping 'Other packaging topics'
* move the 'Set variables at build time yourself' section after
'Set environment variables in dependents' section since the latter
is more motivating
* start the 'set environment variables at build-time for yourself'
section with qt as an example
* renamed section 'specs build interface' to 'retrieving library
information' and updated section introduction
* renamed section 'a motivating example' to 'accessing library
dependencies'; split out the material which deals with implementing
.libs for netlib-lapack into a separate section called 'providing
libraries to dependents'. consolidated in material from the section
'single package providing multiple virtual specs' since
netlib-lapack is an example of this (this removes the material
about intel-parallel studio)
* Allow dashes in command names and fix command name handling
- Command should allow dashes in their names like the reest of spack,
e.g. `spack log-parse`
- It might be too late for `spack build-cache` (since it is already
called `spack buildcache`), but we should try a bit to avoid
inconsistencies in naming conventions
- The code was inconsistent about where commands should be called by
their python module name (e.g. `log_parse`) and where the actual
command name should be used (e.g. `log-parse`).
- This made it hard to make a command with a dash in the name, and it
made `SpackCommand` fail to recognize commands with dashes.
- The code now uses the user-facing name with dashes for function
parameters, then converts that the module name when needed.
* Improve performance of log parsing
- A number of regular expressions from ctest_log_parser have really poor
performance, most due to untethered expressions with * or + (i.e., they
don't start with ^, so the repetition has to be checked for every
position in the string with Python's backtracking regex implementation)
- I can't verify that CTest's regexes work with an added ^, so I don't
really want to touch them. I tried adding this and found that it
caused some tests to break.
- Instead of using only "efficient" regular expressions, Added a
prefilter() class that allows the parser to quickly check a
precondition before evaluating any of the expensive regexes.
- Preconditions do things like check whether the string contains "error"
or "warning" (linear time things) before evaluating regexes that would
require them. It's sad that Python doesn't use Thompson string
matching (see https://swtch.com/~rsc/regexp/regexp1.html)
- Even with Python's slow implementation, this makes the parser ~200x
faster on the input we tried it on.
* Add `spack log-parse` command and improve the display of parsed logs
- Add better coloring and line wrapping to the log parse output. This
makes nasty build output look better with the line numbers.
- `spack log-parse` allows the log parsing logic used at the end of
builds to be executed on arbitrary files, which is handy even outside
of spack.
- Also provides a profile option -- we can profile arbitrary files and
show which regular expressions in the magic CTest parser take the most
time.
* Parallelize log parsing
- Log parsing now uses multiple threads for long logs
- Lines from logs are divided into chnks and farmed out to <ncpus>
- Add -j option to `spack log-parse`
