The current implementation of `spack-python` will leave an extra shell
around while it runs. That shell should really replace itself with
spack.
- [x] add exec to spack-python script
* Add initial attempt at intel-mpi-benchmarks package
* Add more checksummed versions
* Changes to how makefile is handled
* First working install version. Needs tuning to support building specific benchmarks
* Add variant for building specific benchmarks rather than all of them
* Minor syntax change
* New package: gdrcopy
provides the userspace libraries for gdrcopy.
* Update var/spack/repos/builtin/packages/gdrcopy/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* XIOS: add new versions
Patch has been removed because it was not applied to any previously
existing versions and it actually breaks the new versions added by this
PR.
* Sort versions from newest to oldest
This allows the llvm build to support:
* clang cuda
* libomptarget for:
* current host
* cuda
* bitcode compilation of libomptarget device runtime for inlining by
bootstrapping libomptarget
* split dwarf information support as an option for debug builds, if you need a
debug build, for the love of all that's good in the universe use this flag
* adds necessary dependencies for shared library builds and libomp and
libomp target to build correctly
* new version of z3 to make it sufficient to build recent llvm
The actual change is much smaller than the diff, this is because it's been formatted with black. I realize this kinda sucks right now, but I'm hoping it will make future updates here less painful.
the gcc package.py includes patches for a sanitizer related bug that look
like they've been fixed in gcc 8.4.0, which caused `spack install` to fail.
This PR excludes patching gcc >= 8.4.0 and < 9.0.0.
* py-statsmodels: update to 0.102 and fix dependencies
* Update var/spack/repos/builtin/packages/py-statsmodels/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update URL for new py2neo versions
* Use pypi for py-py2neo
* Add version 4.3.0
* Update py2neo dependencies
* Apply suggestions from code review
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* NETCDF: Remove maxdims maxvars variant
I'm not sure of the correct protocol to do this, so decided to make a stab and hopefully it works or I'm told the correct way...
The `maxdims` and `maxvars` variants for the NetCDF package were, to the best of my knowledge, only ever used for the Exodus library in the SEACAS package. In versions of NetCDF prior to 4.4.0, Exodus required that the `NC_MAX_DIMS` and `NC_MAX_VARS` be increased over the default values. This requirement was removed in 4.4.0 and later.
I do not know of any way to make a variant depend on the version and since the `maxdims` and `maxvars` variants are integer values and not boolean, then every build of NetCDF will have these variants. Typically `maxdims=1024 maxvars=8192` and the build will patch the `netcdf.h` include file for every build even though it is (almost) never needed.
The SEACAS package has a NetCDF version requirement of >4.6.2, so it no longer specifies the `maxdims` or `maxvars` variant and I could find no other package in spack that uses this variant either, so removal should not break anything *in* spack. However, there is no guarantee that some other external package doesn't use the variant, so I'm not sure of the correct way to remove the variant.
For this PR, I simply removed the variants. If there is a way to specify use of the variant tied to a specific version, I couldn't find it anywhere...
* Address review comment
Removed `is_integral` and `import numbers` since `is_integral` was only place it was used.
* Add blank line for flake8
* magma now extends CudaPackage class, taking care of the gcc conflicts
* enforce +cuda; thus cuda is dependency via CudaPackage class
* add conflict
* use cuda_arch to set GPU_TARGET build option
* get rid of unnecessary constraint
* flake8
* impose cuda version dependency found empirically
* add variant description
* add conflict
Co-authored-by: Sinan81 <Sinan81@github>
Co-authored-by: Sinan81 <sbulut@3vgeomatics.com>
* build python bindings within qscintilla package via extend_path trick
* add todo
* reflect new setup also in py-pyqt4 package
* get rid of qscintilla dependency
* also tweak qgis for the new setup
* generalize the building of python bindings
* generalize building of pythong bindings to all qt versions
* add qsci_api variant
* add qsci_variant for pyqt4 package as well; add comment
* pyqt dependency should build with +qsci_api variant enabled
* fix bugs
* improve style
* reflect recent changes
* flake8
* improve style
* more flake8
* more flake8
Co-authored-by: Sinan81 <sbulut@3vgeomatics.com>
* Add some comments explaining the choice of flag_handler.
* Fix QMCPACK install method.
* Add support for ppconvert. This requires a custom build method.
* Fix QMCPACK setup_run_environment. Nexus should be properly supported now.
* Cleaner way to check for intel-mkl in spec.
* Remove build method and use build_targets property instead.
* Additional fixed for install method. Effectively restoring the original install method.
* Add the missing backslash to fix directory names.
* Update var/spack/repos/builtin/packages/qmcpack/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/qmcpack/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/qmcpack/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Omit these conflicts on mkl variants for now, will hopefully be supportted with new concretizer in a couple of months.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
intel moved the repository around.
github changes the prefix inside the tar according to the
repository name.
So all sha256 have changed!
I verified that the tar contents for 2019.4 did not change
except for the prefix.
* TensorFlow: Clean up/simplify the installation, make sure the headers are
installed so that horovod can find them successfully. Fix the 2.0.* builds.
* Backport of 837c8b6b upstream
"Remove contrib cloud bigtable and storage ops/kernels."
Allows 2.0.* releases to build with '--config=nogcp'
* comment regarding tensorflow issue #31187
Co-authored-by: Andrew W Elble <aweits@skl-a-00.rc.rit.edu>
