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Work around sklearn threadpool init deadlock #62

Work around sklearn threadpool init deadlock

Work around sklearn threadpool init deadlock #62

Workflow file for this run

name: dockerhub
on:
push:
tags:
- '*'
jobs:
docker:
if: github.repository != 'labsyspharm/minerva_analysis'
runs-on: ubuntu-latest
steps:
- name: Branch name
id: branch_name
run: |
echo ::set-output name=SOURCE_BRANCH::${GITHUB_REF#refs/heads/}
echo ::set-output name=SOURCE_TAG::${GITHUB_REF#refs/tags/}
- name: Clean up the release tag test
id: cleantag
run: |
tag=$(echo ${{ steps.branch_name.outputs.SOURCE_TAG }} | tr -d v)
echo "::set-output name=tag::${{ github.repository }}:${tag%"_gating"}"
- name: Set up QEMU
uses: docker/setup-qemu-action@v1
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v1
- name: Login to DockerHub
uses: docker/login-action@v1
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Build and push
id: docker_build
uses: docker/build-push-action@v2
with:
push: true
tags: ${{steps.cleantag.outputs.tag}}
- name: Image digest
run: echo ${{ steps.docker_build.outputs.digest }}