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v0.6-rc #1814

Merged
merged 29 commits into from
Jan 26, 2022
Merged

v0.6-rc #1814

merged 29 commits into from
Jan 26, 2022

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brenthuisman
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@brenthuisman brenthuisman commented Jan 25, 2022

  • bump version to v0.6-rc
  • Update MANIFEST.in and scripts/run_python_examples.sh
  • Update Release instructions docs/contrib/release.rst
  • Fix missing quotes in python/example/single_cell_nml.py
  • Add testing to sdist creation in ciwheel.yml
  • Rename basic.yml to test-everything.yml
    • Remove Python examples step from matrix (mostly because plotting takes much CPU on macos)
    • change to build /w nml
    • add test of pip builds (pip install in addition to CMake builds)
      • Python examples are tested here, once is enough.

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@noraabiakar noraabiakar left a comment

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A couple of minor comments, but otherwise looks good.

@@ -92,11 +92,15 @@ jobs:
# See https://github.com/open-mpi/ompi/issues/6518
OMPI_MCA_btl: "self,tcp"
steps:
- name: Get clang/gcc 8
- name: Get clang/gcc 8, libxml2, Linux
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Can we rename to "Linux: get clang/gcc 8, libxml2" (and "MacOS: get libxml2" below)

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Sure!

with:
submodules: recursive
- name: Build and install Arbor using pip
run: python3 -m pip install --verbose --install-option="-DARB_VECTORIZE=ON" --install-option="-DARB_ARCH=native" .
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Do we verify that vectorization is actually enabled?

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We do now :)

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Cool :)

@brenthuisman brenthuisman merged commit cf99bdc into arbor-sim:master Jan 26, 2022
max9901 pushed a commit to max9901/arbor that referenced this pull request Feb 3, 2022
* bump version to v0.6-rc
* Update `MANIFEST.in` and `scripts/run_python_examples.sh`
* Update Release instructions `docs/contrib/release.rst`
* Fix missing quotes in `python/example/single_cell_nml.py`
* Add testing to sdist creation in `ciwheel.yml`
* Rename `basic.yml` to `test-everything.yml`
   * Remove Python examples step from matrix (mostly because plotting takes much CPU on macos)
   * change to build /w nml
   * add test of pip builds (`pip install` in addition to CMake builds)
      * Python examples are tested here, once is enough.
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2 participants