* Add missing dependency on setuptools to py-subprocess32
* Update package.py
* Update var/spack/repos/builtin/packages/py-subprocess32/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update package.py
PR #10589 introduced a libiconv dependency to doxygen. This causes
problems on Linux systems, since the iconv symbols are included in libc,
which causes CMake to use the external header but not the external
library. Work around this by always using the external libiconv.
The xed CLI is handy, and can be gotten by building the examples in the
intel-xed package. This PR builds the examples and installs the xed CLI.
It would also be possible to install more of the example binaries if
someone thinks they are useful.
* openmolcas: new package at 19.11
* openmolcas: fill description
* openmolcas: rewrite using CMakePackage
* openmolcas: add py-six dep
* openmolcas: use setup_build_environment, setup_run_environment
* openmolcas: remove redundant cmake dep
* openmolcas: explicitly cast Executable to str
Recent commit e9ee9eaf (#13989) fixed testing version ranges inside
patch when clauses. Previously, it was necessary to write all revs
individually for packages with multiple length version numbers (2019
and 2019.1).
This fixes the build for the old 2017.* versions.
* elpa: port to microarch
* flake8
* Update package.py
* Update var/spack/repos/builtin/packages/elpa/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Adding libid3tag package for supporting feh
* Adding libexif package for supporting feh
* Adding imlib2 package for supporting feh
* Adding the feh package
* Rewording the cleanup function for libid3tag
* Fixing some flake8 issues for imlib2 and libid3tag
* Adding sources for the patches and swapping rm for os.remove
* Flake8 fixes
* swapping md5sums for sha256sums
* CUDA HeaderList: Unit Test
* Spec Header Dirs: Only first include/
Avoid matching recurringly nested include paths that usually
refer to internally shipped libraries in packages.
Example in CUDA Toolkit, shipping a libc++ fork internally
with libcu++ since 10.2.89:
`<prefix>/include/cuda/some/more/details/include/` or
`<prefix>/include/cuda/std/detail/libcxx/include`
regex: non-greedy first match of include
Co-Authored-By: Massimiliano Culpo <massimiliano.culpo@gmail.com>
* CUDA: Re-Enable 10.2.89 as Default
* ibm-java: add version 8.0.6.0
Add version 8.0.6.0 and remove 8.0.5.30. IBM is fairly aggressive
about removing old versions, and 8.0.5.30 is no longer available from
their download site.
* Restore version 8.0.5.30, although it is no longer available for
download from IBM.
* Addition of repository branches to maestrowf.
* Addition of 1.1.5dev pre-release.
* Correction of a merge conflict.
* Addition of Maestro release 1.1.5
* Addition of Maestro release 1.1.6 (removal of 1.1.5)
* Sets 1.1.6 to the preferred version.
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Tweak to the url to point to latest.
* Fix Apex and OTF2 support
- Comment out apex as a dependncy: it is bundled with HPX.
- Apply a patch to v1.3.0 to correctly build with APEX.
- Add otf2 as a dependency when APEX is enabled.
* Remove depends_on('apex')
* augustus: Set compile commands for each compiler and Fix for using 'boost' on Spack
* fix for flake8
* delete 'string' args
* Fix args of filter_file func
* Fix args of other filter_file func
* Add patch to fix issue building current llvm develop master on power9
* Conform to proper block commenting
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* add tensorflow
Change-Id: Id778c68d148cc42f0b478a9d10a8f937cb54cdc6
* make bazel and tensorflow build
Change-Id: Iae9005e8f4dcc8f1ed36ea9337d2430aeebb291f
* fix flake8
Change-Id: Ib05529dd796eab4a8855a5d7775cc4efea8e479d
* 2nd flake8 attempt
Change-Id: I46224be3a374b2a65793048b0c5178ea64adbd78
* replace md5 sums with sha256
* add version 1.13.2
* bazel() -> bazel('build',...
* specify versions of bazel dependency
* build with CUDA
* add TODOs
* add more todo"s
* improve enum34 dependency
* py-future is a dependency as of v1.14
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* enable nccl, cuda by default
* explain patches
* add todo
* remove unnecessary copt_flag
* use join
* join argument must be an iterable
* split long line; use same opts for non-cuda build
* without opt flags, configure hangs
* introduce build phases; re-arrange
* undo mistake
* restore unset tmp_path
* as of v1.14, nccl_install_path is parsed correctly, hence change ...prefix.lib to ...prefix
* now, version 1.14 compiles successfully with cuda
* add version 2.1.0
* specify bazel dependency for version 2.1.0-rc0
* account for deprecated bazel opts for v2.1.0-rc0
* disable mkldnn contraction kernel
* Flake8 fixes
* md5 -> sha256
* Fix TF and TF-estimator version deps
* Don't just comment out patch
* Add myself as a maintainer
* Patch py-astor to support newer py-setuptools
* Add more versions and bazel version constraints
* Add a build phase
* Add note about configure interactivity
* dev-build -> build-env
* Disable iOS build
* Use correct optimization flags
* Add variants for all possible features
* nccl isn't always a dependency
* Specify correct dependency versions for each release
* Libs may not be in lib or lib64
* Add py-opt-einsum package
* Add newer version of py-protobuf
* Add newer version of py-wrapt
* Fix Python 2.6 syntax error
* Code review
* Set more env vars for older versions
* Add more env vars, fix bazel versions, add conflicts
* Fix config options
* Specify version that support --config args
* Add py-future dependency for Python 2
* Fix cuda config flag and compute capabilities
* Fix installation on macOS, add unit tests
* Override cuda variant default to True on non-macOS
* Rename tensorflow to py-tensorflow
* Has to extend something
* Fix os.symlink call
* convert cuda_arc values to capabilities
* restore nccl prefix path for v1.13.1
* Revert to v2
* Remove extraneous period
* Add new version of jdk/openjdk
* More stable cuda_arch formatting
* Fix bazel unit tests
* Fix symlinking
* Fix unit tests
* +gcp by default until build error figured out
* apply strict constraint checks for patches, otherwise Spack may incorrectly treat a version range constraint as satisfied when mixing x.y and x.y.z versions
* add mixed version checks to version comparison tests
