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Update conda to 4.4.11 #57

Merged
merged 6 commits into from
Feb 27, 2018
Merged

Update conda to 4.4.11 #57

merged 6 commits into from
Feb 27, 2018

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jakirkham
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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.

xref: conda/conda#6811

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.
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).
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.
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.
@jakirkham
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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?

@mrocklin
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mrocklin commented Feb 27, 2018 via email

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.
@jakirkham
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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.

@jakirkham jakirkham merged commit cb84ab3 into dask:master Feb 27, 2018
@jakirkham jakirkham deleted the fix_conda_ci_err branch February 27, 2018 18:02
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2 participants