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* honor global compiler flags
* Honor debug variant when using global compiler flags
* Add cppflags to c/cxx flags, clarify flag handling
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* Added maintainers
* Refined dependencies
* Changed git url
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* openmpi: fixes for NAG compiler
* openmpi: more fixes
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- Parallel HDF5 isn't required -- the comment seems to be about a
transitive dependency with pnetcdf.
- Boost usage should respect the variant, not automatically be reenabled
when choosing DTK.
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* py-tensorflow: Update for use with Fujitsu compiler
* py-tensorflow: remove -march option
* fix flake8 error
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Versions of py-tensorflow between versions 1.1 and 1.14 need a patch to
avoid an import error on the cloud package even if built without support
for the cloud package.
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* bazel: Update for use with Fujitsu compiler
* bazel: Fix for use with Fujitsu compiler
* bazel: Fix flake8 error
* bazel: add conflicts setting for use with Fujitsu compiler
* fix flake8 error
* fix flake8 error
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* Add compiler option to use with Fujitsu compiler
* Fix flake8 error
* remove 1-1_fcc_tf_patch.patch
* fix flake8 error
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Link to the E4S build cache in the according section of the docs.
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In Python 3.8, the reserved "tp_print" slot was changed from a function
pointer to a number, which broke the Python wrapping code in vtk@8
(causing "cannot convert 'std::nullptr_t' to 'Py_ssize_t'" errors in
various places). This is fixed in vtk@9.0.0.
This patch:
1) adds vtk@9.0.0
2) updates depends_on constraints to only use python@3.8: for vtk@9:
vtk@:8 depends on python@2, and vtk@8.0.1:8.9.9 depends on python@:3.7
3) Adds CMake flag VTK_PYTHON_VERSION=3 when using python@3 with vtk@9
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* Catch yaml filename corner case in spec parser
* improved regex and remove redundant error checking
Co-authored-by: Gregory Becker <becker33@llnl.gov>
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Also removes extraneous prompt and ssh handling logic.
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source files (#16856)
* python: adding a distutils fix to improve build compatibility for C++ extension modules (e.g. py-matplotlib)
* python: added C/C++ distutils patches for python@3.6:3.8
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(#17092)
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Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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Allow Spack to build with ROOT as an external dependency by setting
LD_LIBRARY_PATH: given that the external package was not built by
Spack, dependents would not be able to locate libraries using RPATHs
when running ROOT binaries.
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Specified Python to be v2.7 only, as Python3 support is not currently
implemented in chill.
Update chill dependency versions for the following libraries to the
specific versions:
* rose: v0.9.13.0
* bison: v3.4.2
Both rose and iegenlib are build time dependencies, but are also run
time dependencies. Added 'run' to the build type for both dependencies.
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cuda: 10.1 and onward, installers will crash if /tmp/cuda-installer.log
exists
Try to help if user owns the file, otherwise try to provide useful
info. Clean up the file post-install to try to avoid the whole issue.
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* [py-torchvision] added dependency of ffmpeg
* [py-torchvision] needs ffmpeg >= 3.1. See: https://github.com/pytorch/vision/issues/1597
* [py-torchvision] ffmpeg dependency is only for py-torchvision versions >= 0.4.2.
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[OpenBLAS 0.3.10](https://github.com/xianyi/OpenBLAS/releases/tag/v0.3.10) was released.
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Co-authored-by: Sinan81 <Sinan81@github>
Co-authored-by: Sinan81 <sbulut@3vgeomatics.com>
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The release number in the README had not been updated since we did the
relicense to Apache-2.0 OR MIT in v0.12.0. LLNL-CODE-811652 is Spack's
new LLNL release number.
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* Skip failing test on MacOS
* Update setup-python action and unpin coverage
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* save edits
* tidy up
* Update var/spack/repos/builtin/packages/py-lmfit/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* add python version constraints
Co-authored-by: Sinan81 <sbulut@3vgeomatics.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Sinan81 <Sinan81@github>
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Add versions 2020.06.12 and develop.
Switch default for variant papi to true.
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Co-authored-by: Sinan81 <Sinan81@github>
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