requirements.sh: ignore scipy and scikit-learn

'scikit-learn' requires 'numpy' and 'scipy' packages. Which take long
time to build.

We need 'numpy' for nova image but can ignore rest (they are needed by
'monasca_analytics' project we do not use).

On x86-64 architecture all those packages come as binaries from Pypi.

Change-Id: I36b6ca9d094f83d48e7fa41a7818441169bd04e6
This commit is contained in:
Marcin Juszkiewicz 2018-07-18 21:14:09 +01:00
parent 41297bd4e6
commit c4fe11104f
1 changed files with 3 additions and 1 deletions

View File

@ -26,7 +26,9 @@ pushd $(mktemp -d)
# NOTE(SamYaple): Build all deps in parallel. This is safe because we are
# constrained on the version and we are building with --no-deps
export CASS_DRIVER_BUILD_CONCURRENCY=8
split -l1 /upper-constraints.txt
# NOTE(hrw): Drop python packages requested by monasca_analytics. Their
# build time is huge and on !x86 we do not get binaries from Pypi.
egrep -v "(scipy|scikit-learn)" /upper-constraints.txt | split -l1
echo uwsgi enum-compat ${PIP_PACKAGES} | xargs -n1 | split -l1 -a3
ls -1 | xargs -n1 -P20 -t bash -c 'pip wheel --no-deps --wheel-dir / -c /upper-constraints.txt -r $1 || echo %1 >> /failure' _ | tee /tmp/wheels.txt