* new package: openmm
* dependency adjustments
* 1. modify dependencies
2. openmm dynamically compiles cuda kernels during runtime,
attempt to set up an environment that will work.
* Update var/spack/repos/builtin/packages/openmm/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
This adds a boolean 'libtirpc' variant to the hdf package.
Default is false, which will reproduce previous behavior (which
was to rely either on system xdr headers/library, or have hdf use
it's builtin xdr lib/headers (which are only for 32 bit))
If true, a dependency is added on 'libtirpc', and the LIBS and
CPPFLAGS are updated in the configure command to find the libtirpc
library and xdr.h header.
This is needed as RHEL8 (and presumably other distros have or will be)
removed xdr.h from glib-headers package,which was breaking the previous
behavior of using system xdr headers.
* opencv: assorted fixes
1. depends on blas when +lapack
2. set cuda nvcc flags for cuda_arch
3. let cuda/contrib builds work
4. depends on hdf5 when cuda/contrib
5. depends on ant when +java
6. allow protobuf version to be different
7. let opencv recompile it's protoc files.
* ant is a build-time dependency
* register +cuda~contrib as impossible.
The old api is found in version 0.3.0 which uses a different release
name, so the url function was updated to properly find the older
releases. Also, this removes the boost constraint on the 0.3.0 version
which does not need it.
* meson: Add 0.54.0
This change also improves the rpath patch we are using. Instead of never
removing the rpath, we now only keep it if running within Spack to
guarantee consistent behavior of Meson.
* meson: Make ninja a hard dependency
* Update doxygen package
* Add new version releases 1.8.16 and 1.8.17
* Add mscgen as an optional dependency.
* Update doxygen package.py
Fix typo in mscgen dependency specification
* Remove whitespace for flake8
* primer3: move to github, add 2.5.0, fix 2.3.7
- The Primer3 project moved to GitHub.
- update the URL
- compare the tarballs 2.3.7 from Sourceforge and github, no
significant differences (e.g. the Sourceforge tarball contained a
couple of "tmp" files).
- update the signature for the 2.3.7 tarball.
- @2.3.7 doesn't build with gcc@8.4.0, there's a dubious pointer/int
comparison that causes an error. It was fixed upstream in newer
versions, apply simple patch to this version so that it continues to
be build-able with newer compilers. See:
- https://github.com/primer3-org/primer3/issues/2
- https://github.com/primer3-org/primer3/issues/3
- Add info for @2.5.0, which builds cleanly.
* Flake8 cleanup
* [gtk-doc] created template
* [gtk-doc] using custom url to standardize on dotted version
* [gtk-doc] added description and homepage
* [gtk-doc] added dependencies and added pdf variant
* [gtk-doc] commented out pdf variant
* [gtk-doc] cleaned up leftover fixmes
* [gtk-doc] flake8
* [gtk-doc] readded url
* [gtk-doc] python packages are build and run dependencies
* py-torch: Fix v1.4.0 by adding v1.4.1
version/tag hack so that 1.4.0 is still workable.
see pytorch/pytorch#35149
* delete/disable fbgemm support in 1.4.0
* moved conflict
* Skip collection of compiler link paths if compiler does not define a verbose flag
* modules config bug: allow user to configure a compiler without an explicit entry for loaded modules
Newer versions of glib require Meson, so this PR adds support for that
using a hybrid approach. glib@5.28: will be built using Meson, older
versions still make use of Autotools.
The most recent change to the openjdk package set expand=False for all versions
of the package. This means only the unexpanded archive will be installed, which is not correct.
* Update dependencies and support variant for Fortran Intermediate Representation.
* Add Cmake flags that toggle Fortran Intermediate Representation on/off. Exclude Flang tests for now.
* f18+fir variant needs next release of llvm or master.
* Only build tests if you are pass in --test to spack install
* New package: py-tensorboard
* some basic dependencies based on requirements.txt
remove the older version that doesn't build
* requested changes
* add additional dependencies
* more dependency changes
* py-onnx: only use py-typing if python < 3.5
avoids a 'Callable has no attribute __abc_registry' error. See
onnx/onnx#2199 and python/typing#573
* add version 1.6.0 while we're here.
Add new version 4.5.0 and update quarantine variable list to also
include LD_PRELOAD in addition to LD_LIBRARY_PATH (to avoid side-effect
when the first depends on the latter).
- Add info for version 0.68.3
- Add variant to package that enables the "extended" features. It
works with both of the existing versions (not sure how far back it
goes, but confirmed that it's valid fro 0.53).
Tested on OS X with go@1.14.1.
