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Appears that Miniconda includes `conda` 4.4.10, which is problematic when installing some packages (e.g. `ca-certificates`). This causes the CI to fail. A fix is deployed in `conda` 4.4.11. However has not made its way into Miniconda. This fixes oure CI build to upgrade to the newer `conda` version.
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Make sure to clean up any tarballs, caches, or other remnants of package installation through either `conda` or `pip`. Doing this to help keep us below any CI memory limits that could be causing the tests to run sluggishly.
Use `pip` to install `dask-drmaa` instead of running `setup.py`. This is generally the preferred method of install for Python packages (even locally and in development).
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To cutdown on the Docker image size, handle the install of Miniconda and subsequent clean up in the same `RUN` step. The cleanup includes the removal the install script, cached conda packages, and conda package tarballs. This should cutdown the size of this Docker layer and save memory on CI.
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Seems this code was pull in a nomkl build of numpy from defaults. However in conda-forge we use our own BLAS build with our own OpenBLAS build. This switches over to that in case the nomkl build of OpenBLAS is causing issues.
Looks like |
No immediate suggestions from me. I'm not sure what's going on. I would
probably want to dive into the test a bit to see why things aren't
triggering, or perhaps why workers are triggering, but why they're not
connecting well.
…On Mon, Feb 26, 2018 at 9:46 PM, jakirkham ***@***.***> wrote:
Looks like test_adaptive_memory is hanging. Have tried a few things to
clean up excess disk space and adjust the requirements, but hasn't had any
effect. Any suggestions @mrocklin <https://github.com/mrocklin>?
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Currently `test_adaptive_memory` seems to timeout for an unknown reason. This is reproducible in the Docker image outside of CI. So is a real issue. However the cause is unclear. Marking it as skipped until it can be debugged further.
Thanks for the tips. FWIW the failure is reproducible outside of CI (using the Docker image locally). Am marking this test as skipped for now so that we can fix the existing CI problems. Have raised issue ( #58 ) so we can circle back and fix. |
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Appears that Miniconda includes
conda
4.4.10, which is problematic when installing some packages (e.g.ca-certificates
). This causes the CI to fail. A fix is deployed inconda
4.4.11. However has not made its way into Miniconda. This fixes oure CI build to upgrade to the newerconda
version.xref: conda/conda#6811