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print a note on how to activate a newly created environment
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* Chainer: New Package.
* 1. Add maintainers.
2. fix dependency.
3. Add typing-extention@3.6.6 and fix version dependency.
* afixed dependency.
* remove python dependency for version 6.
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Packages in Spack are classes, and we need to be able to execute class
methods on mock packages. The previous design used instances of a single
MockPackage class; this version gives each package its own class that can
spider depenencies. This allows us to implement class methods like
`possible_dependencies()` on mock packages.
This design change moves mock package creation into the
`MockPackageMultiRepo`, and mock packages now *must* be created from a
repo. This is required for us to mock `possible_dependencies()`, which
needs to be able to get dependency packages from the package repo.
Changes include:
* `MockPackage` is now `MockPackageBase`
* `MockPackageBase` instances must now be created with
`MockPackageMultiRepo.add_package()`
* add `possible_dependencies()` method to `MockPackageBase`
* refactor tests to use new code structure
* move package mocking infrastructure into `spack.util.mock_package`,
as it's becoming a more sophisticated class and it gets lots in `conftest.py`
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The variants table in `spack info` is cramped, as the *widest* it can be
is 80 columns. And that's actually only sort of true -- the padding
calculation is off, so it still wraps on terminals of size 80 because it
comes out *slightly* wider.
This change looks at the terminal size and calculates the width of the
description column based on it. On larger terminals, the output looks
much nicer, and on small terminals, the output no longer wraps.
Here's an example for `spack info qmcpack` with 110 columns.
Before:
Name [Default] Allowed values Description
==================== ==================== ==============================
afqmc [off] on, off Install with AFQMC support.
NOTE that if used in
combination with CUDA, only
AFQMC will have CUDA.
build_type [Release] Debug, Release, The build type to build
RelWithDebInfo
complex [off] on, off Build the complex (general
twist/k-point) version
cuda [off] on, off Build with CUDA
After:
Name [Default] Allowed values Description
==================== ==================== ========================================================
afqmc [off] on, off Install with AFQMC support. NOTE that if used in
combination with CUDA, only AFQMC will have CUDA.
build_type [Release] Debug, Release, The build type to build
RelWithDebInfo
complex [off] on, off Build the complex (general twist/k-point) version
cuda [off] on, off Build with CUDA
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This allows horovod to be built with frameworks=pytorch,tensorflow.
I tracked down the crash I observed in #15719, where loading torch
before tensorflow would cause a crash in:
google::protobuf::internal::(anonymous
namespace)::InitSCC_DFS(google::protobuf::internal::SCCInfoBase*)
The solution is to make tensorflow compile against the protobuf
version Spack provides, instead of allowing it to use it's own.
It's likely we'll want to go after some of the others
that are listed in third_party/systemlibs/syslibs_configure.bzl
in the future.
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Since CMake can't build with GCC on MacOS, choose a
spec that doesn't have CMake in the DAG.
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* Add new package: py-coilmq
* remove FIXME comment
* fix depends_on
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* Update var/spack/repos/builtin/packages/py-sqlparse/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Add new package py-sqlparse
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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fixes #16184
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The major building blocks in many software stacks:
- CPython
- CMake (libuv)
do not build on macOS with GCC. The main problem is that some macOS
framework includes pull in objective-c code and that code does get
misinterpreted as (invalid) C by GCC by default.
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Last month VTK-m releases its lastest version named `v1.5.1`. This new
release only contains bugfixes related to compiler error / warnings.
- Depends on CMake >= 3.12
- Set VTKm_NO_ASSERT=ON by default
- add maintainers
Signed-off-by: Vicente Adolfo Bolea Sanchez <vicente.bolea@kitware.com>
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(#16221)
Update compiler config with bootstrapped compiler when it was already installed and added config defaults to code so mutable_config test fixture works.
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* PyTorch: add conflict for Apple Clang 11.0.3
* Flake8 fix
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hwloc depends on MPI when netloc is enabled. Note that OpenMPI depends on
netloc, so hwloc cannot use OpenMPI as the MPI provider when netloc is
enabled (this would result in a cyclic dependency).
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To specify an environment for a comment, the user can specify
"spack -e <env>". The documentation incorrectly specified "-E" (which
is actually used to ignore any implicit use of environments).
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Co-authored-by: Rao Garimella <rao@abyzou.lanl.gov>
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* rebase
* move if statement location
* remove whitespace
* spec to self.spec
* switch statements as per review
* fix erronous indent
* add missing cmake arg
* minor placement fix for cmake args
* edit comment
* fix erronous return
* clarify conflicts with messages
* remove duplicate comment
* simplify logic
* macos wasn't a variant, fix that
* remove extra blank line
* address reviewer comments on spaces
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* Add new package: py-pid
* fix depends_on
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* Add new versions
add versions 2019.3 and 2019.4 and adjust the install stage accordingly
* one small fix
* fix lint
* re-ordering the versions
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versions. (#16220)
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While building _visit_, I ran into an undefined symbol at link time. I tracked
the missing dependency to _libsm_ needing to know about _libuuid_ at link time.
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