* Don't use CUDA for hipblas
* old versions use TRY_CUDA
* Update var/spack/repos/builtin/packages/hipblas/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* add version 2.2-2 to r-gwmodel
* Update var/spack/repos/builtin/packages/r-gwmodel/package.py
Fix comma, space issue.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* add version 0.3.17 to r-inline
* Drop R version constraint
A really old version of R was specified in the 0.3.14 and 0.3.15
versions of r-inline. This constraint was dropped in the 0.3.17 version.
Drop it from the spack recipe as well.
* vasp: fix build with gfortran 10
Avoid Error: Type mismatch between actual argument at (1) and actual argument at (2)
* vasp: add version 6.1.1
* vasp 6: allow building without CUDA
* Adding PiP recipe
* pip@1 recipe (it seems working)
* change install dir hierarchy
* installing PiP man pages
* add pip-glibc & pip-gdb
* fix configure option designations, fix dependency types
* fix dependency type of pip
* use AutotoolsPackage in pip recipe
* add patch for pip-glibc & pip-gdb to enable 'disable-werror'
* change glibc install directory
* add linux distro check to pip-gdb
* create process-in-process package
* use flag_handler and join_path
* add gcc version constraint, change install-test to check-installed
* fix gcc version designations on conflicts()
* add constraint of target cpu, fix flake8 warnings
* add version constraint to resource()
* Some fixes to adapt the current version
not to execute 'piplnlibs'
change documentation install command
* Update
new branch name of PiP-gdb
adapting PiP-Testsuite
* update pip-gdb github urls
* The very first commit of Process-in-Process (PiP)
details can be found at https://github.com/RIKEN-SysSoft/PiP
* Fix comment style issues
* New Package: Process-in-Process (PiP) -- 2nd trial
* fix style issue
* change inline comments style (required to have two spaces)
Co-authored-by: Daiki Matsunaga <daikim@axe.bz>
Imagemagick-7.0.8 needs to link against libltdl. Otherwise, the build will fail with:
```
2 errors found in build log:
503 checking for libltdl...
504 checking ltdl.h usability... no
505 checking ltdl.h presence... no
506 checking for ltdl.h... no
507 checking for lt_dlinit in -lltdl... no
508 checking if libltdl package is complete... no
>> 509 configure: error: in `/tmp/gpjohnsn/spack-stage/spack-stage-imagemagick-7.0.8-7-4y44gaklhhciiwjzhfpxjfwdj5q
ltjp3/spack-src':
>> 510 configure: error: libltdl is required for modules and OpenCL builds
511 See `config.log' for more details
```
* add version 3.8.2 to r-gtools
* Improve formatting of description
In case the list gets formatted as a non-list:
- added semicolons to end of list items
- replaced dashes with [#]
* add version 1.30 to r-knitr
* Fix version constraints
- r-digest
- r-formatr
The version constraints on those packages should actually be in the `when`
clause.
'date' is a C++ header library offering extensive date and time
functionality for the C++11, C++14 and C++17 standards written by Howard
Hinnant and released under the MIT license. A slightly modified version
has been accepted (along with 'tz.h') as part of C++20. This package
regroups all header files from the upstream repository by Howard Hinnant
so that other R packages can use them in their C++ code. At present, few
of the types have explicit 'Rcpp' wrapper though these may be added as
needed.
Designed to ease the application and comparison of multiple hypothesis
testing procedures for FWER, gFWER, FDR and FDX. Methods are
standardized and usable by the accompanying 'mutossGUI'.
Utility functions that enhance the 'parallel' package and support the
built-in parallel backends of the 'future' package. For example,
availableCores() gives the number of CPU cores available to your R
process as given by the operating system, 'cgroups' and Linux
containers, R options, and environment variables, including those set by
job schedulers on high-performance compute clusters. If none is set, it
will fall back to parallel::detectCores(). Another example is
makeClusterPSOCK(), which is backward compatible with
parallel::makePSOCKcluster() while doing a better job in setting up
remote cluster workers without the need for configuring the firewall to
do port-forwarding to your local computer.
