* added albacore package as well as dependency py-ont-fast5-api
* added py-cutadapt and dependency py-xopen
* made more changes to albacore and cutadapt as well as dependencies
* made changes again per @adamjstewart
* fixed by python n00b errors i think
* fixed?
* tw=79
* made changes to py-ont-fast5-api ont-albacore
* removed bad characters
* py-cdat-lite: a python package for managing and analysing climate science data
* py-cdat-lite: depends on py-numpy
* py-cdat-lite: flake8 compliance
* py-cdat-lite: provide a generic URL where multiple versions are listed
* py-cdat-lite: restrict python versions; python required at run-time
* py-cdat-lite: use URL under pypi.io for consistency with other packages
* py-cdat-lite: add run-time dependency on py-numpy
* Initial attempt at flann packaging.
Python2 somehow works. Python3 does not. Still debugging their
obscure setup.py configuration.
* Flann good enough. Python3 broken but close.
Flake8 checks in place. Unsure about CMAKE_BUILD_TYPE and default
spack behavior.
* spack uses RelWithDebInfo as default build type.
* builds py2/3, but direct site-packages install
* prefix working, empty python install dir
* flann package +python installs correctly
* str format {0} instead of {}
* potential doctest fix
* consistency of build env with PythonPackage
* fix python again, test deptype todo, build type
* potentially enable matlab, untested
* highfive: New package; this is a C++ wrapper for the HDF5 library
The C++ wrapper that is shipped with the HDF5 library has several shortcomings. The highfive library seems to avoid these.
* highfive: Make MPI variant default to true
* enable cuda support for suite-sparse
* do not use spec.satisfies
* cuda restructure, give clearer comment of why
* str format compatibility
* flake8 checks
* adding 0.5.1 and variant for uint8 bit stream word type
* Revisions as per davydden
* fixing style (flake8) issues
* - switched to derive from MakefilePackage
- fixed typo in variant check
- Confirmed installs correctly with bswtuint8 variant
* added build method; changed zfp_incdir to incdir
* * Adding uber fastmath package to support 'spack install fastmath'
* Adding dims variant boxlib to control compile-time spatial dimension count
* Explicitly disabling many parts of moab to get lib to build. Don't need tools yet.
* Add logic to spack/setup-env to not refer to $SYS_TYPE if its not defined.
* adding mesquite package
* * Added Chombo (still working on Fortran name mangling)
* Made mesquite depend on mpi
* Fixed use of boxlib's dims numerical variant
* adding PUMI
* flake8 compliance
* adding phasta
* fixing flake8 issues
* undue $SYS_TYPE protection change
* fixing install step for fastmath uber package; resolve issues requested by adamjstewart in PR
* revisions as per adamjstewart
* re-enabling trilinos and phasta dependencies
* all changes requested modulu values= and assert statement
* fixing cmake_args usage in pumi; fixing lib installs for chombo
* first pass at numerical variant
* fixing dims variant as per @adamjstewart
* fixing func/var name collision
* fixing means of disabling -Werror
* fix name collision for cmake_args var/func
* fixing chombo homepage/url; make FASTMath use chombo#3.2; remove extraneous comment about boxlib dim
* remove dummy fastmath package; switch to @BarrySmith soln for install of dummy bundle
* fix flake8 import os issue
* remove extraneous comment
* adding url for fastmath scidac site
* final fixes as per @adamjstewart
* adding 1 dims option for boxlib
* switching make(all) to gmake(all)
Added DFLAGS to the `make.inc` file being written.
These macros are also added to the language specific variables
like CFLAGS, CXXFLAGS and FCFLAGS. Changed `spec.satisfies('foo')`
with `'foo' in spec` in `intel-mkl`, see #4135. Added a basic
build interface to `intel-mpi`.
* Add GCC 7
* Allow users to build subset of GCC compilers with multi-value variant.
* Add comment explaining what 'all' actually means
* More specific golang support
* Only require Zip when building Java
* Comment out provide directives that don't currently work
* Add Ada support
* Use conflicts directive
* Fix joining of languages
* Need special flag to build jit
* Explicitly declare GNAT download extension
* Import tty, update lib64 to lib
* BRIG and Go are not supported on macOS
* Simplify formatting and imports
* JIT patch required for newer versions as well
* Updating bamtools to include a dependency for zlib.
In a standard compile, bamtools will fail if zlib headers are not installed on the target machine. In order to maintain compatibility with all systems -- and since zlib is included already as a dependency for cmake -- this patch adds zlib as a link dependency for the bamtools package.
* Modified cmake rpath include.
Bamtools has a non-standard library location, so we need to append $prefix/lib/bamtools to the rpath. Not sure there's a better way to do this...
* Fixing syntax error in package.py
Fixed a non-terminated parenthesis on line 46.
* Updated bamtools to be a CMakePackage
Removed extraneous code, and altered the package to extend cmake_args
including the non-standard library location.
* UpRemoving cmake dependency and removing blank line from end of file
* Updates to cmake_args.
Removed the duplicate definition of std_cmake_args in favor of simply overriding the CMAKE_INSTALL_RPATH variable that is provided. This should allow the package to be linked correctly to itself.
python+tk will not build because it depends (indirectly) on python~tk
via libxcb. There are efforts to allow multiple instances of a package
to concretize together but they are ongoing so in the meantime this
comments out the dependencies and adds TODOs
* SV variants are evaluated correctly in `when=` statements fixes#4113
The problem here was tricky:
```python
spec.satisfies(other)
```
changes already the MV variants in others into SV variants (where
necessary) if spec is concrete. If it is not concrete it does
nothing because we may be acting at a pure syntactical level.
When evaluating a `when=` keyword spec is for sure not concrete
as it is in the middle of the concretization process. In this case we
have to trigger manually the substitution in other to not end up
comparing a MV variant "foo=bar" to a SV variant "foo=bar" and having
False in return. Which is wrong.
* sv variants: improved error message for typos in "when=" statements
Modifications:
- added support for multi-valued variants
- refactored code related to variants into variant.py
- added new generic features to AutotoolsPackage that leverage multi-valued variants
- modified openmpi to use new features
- added unit tests for the new semantics
## Motivation
Python installations are both important and unfortunately inconsistent. Depending on the Python version, OS, and the strength of the Earth's magnetic field when it was installed, the name of the Python executable, directory containing its libraries, library names, and the directory containing its headers can vary drastically.
I originally got into this mess with #3274, where I discovered that Boost could not be built with Python 3 because the executable is called `python3` and we were telling it to use `python`. I got deeper into this mess when I started hacking on #3140, where I discovered just how difficult it is to find the location and name of the Python libraries and headers.
Currently, half of the packages that depend on Python and need to know this information jump through hoops to determine the correct information. The other half are hard-coded to use `python`, `spec['python'].prefix.lib`, and `spec['python'].prefix.include`. Obviously, none of these packages would work for Python 3, and there's no reason to duplicate the effort. The Python package itself should contain all of the information necessary to use it properly. This is in line with the recent work by @alalazo and @davydden with respect to `spec['blas'].libs` and friends.
## Prefix
For most packages in Spack, we assume that the installation directory is `spec['python'].prefix`. This generally works for anything installed with Spack, but gets complicated when we include external packages. Python is a commonly used external package (it needs to be installed just to run Spack). If it was installed with Homebrew, `which python` would return `/usr/local/bin/python`, and most users would erroneously assume that `/usr/local` is the installation directory. If you peruse through #2173, you'll immediately see why this is not the case. Homebrew actually installs Python in `/usr/local/Cellar/python/2.7.12_2` and symlinks the executable to `/usr/local/bin/python`. `PYTHONHOME` (and presumably most things that need to know where Python is installed) needs to be set to the actual installation directory, not `/usr/local`.
Normally I would say, "sounds like user error, make sure to use the real installation directory in your `packages.yaml`". But I think we can make a special case for Python. That's what we decided in #2173 anyway. If we change our minds, I would be more than happy to simplify things.
To solve this problem, I created a `spec['python'].home` attribute that works the same way as `spec['python'].prefix` but queries Python to figure out where it was actually installed. @tgamblin Is there any way to overwrite `spec['python'].prefix`? I think it's currently immutable.
## Command
In general, Python 2 comes with both `python` and `python2` commands, while Python 3 only comes with a `python3` command. But this is up to the OS developers. For example, `/usr/bin/python` on Gentoo is actually Python 3. Worse yet, if someone is using an externally installed Python, all 3 commands may exist in the same directory! Here's what I'm thinking:
If the spec is for Python 3, try searching for the `python3` command.
If the spec is for Python 2, try searching for the `python2` command.
If neither are found, try searching for the `python` command.
## Libraries
Spack installs Python libraries in `spec['python'].prefix.lib`. Except on openSUSE 13, where it installs to `spec['python'].prefix.lib64` (see #2295 and #2253). On my CentOS 6 machine, the Python libraries are installed in `/usr/lib64`. Both need to work.
The libraries themselves change name depending on OS and Python version. For Python 2.7 on macOS, I'm seeing:
```
lib/libpython2.7.dylib
```
For Python 3.6 on CentOS 6, I'm seeing:
```
lib/libpython3.so
lib/libpython3.6m.so.1.0
lib/libpython3.6m.so -> lib/libpython3.6m.so.1.0
```
Notice the `m` after the version number. Yeah, that's a thing.
## Headers
In Python 2.7, I'm seeing:
```
include/python2.7/pyconfig.h
```
In Python 3.6, I'm seeing:
```
include/python3.6m/pyconfig.h
```
It looks like all Python 3 installations have this `m`. Tested with Python 3.2 and 3.6 on macOS and CentOS 6
Spack has really nice support for libraries (`find_libraries` and `LibraryList`), but nothing for headers. Fixed.
* Make dia build w/ Spack's X bits (and misc)
X related
- need to depend on the +X variant of gtkplus
- need to depend on freetype
misc
- fix path to tarball
* Make freetype a "build" dependency
* Freetype is not just a build dep
* ncurses package will build ncurses and ncursesw
* Added libs property to ncurses, added fix for hstr
* flake8 is a harsh mistress
* make libs() more robust
* atop depends on ncurses
* fish depends on ncurses
* libtermkey and nano depend on ncurses
* Adjust url spacing
* Added a patch to the openblas package to change the openmp flag for
icc to qopenmp.
* Fixed a linking problem where when using Intel compilers, it was still
pulling in -lgfortran
* depend on readline, remove hardcoded -ltermcap
Bowtie should use Spack's readline and not explicitly depend on the
system termcap (which, on CentOS, leads to linking against the
system's tinfo library).
* Add depends_on('zlib')
* Add conflict with gcc@6:
Build seems to have trouble with 6's migration to -std=gnu++14.
