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CI.yml
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name: CI
on:
push:
branches:
- main
pull_request:
concurrency:
# Skip intermediate builds: always.
# Cancel intermediate builds: only if it is a pull request build.
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ startsWith(github.ref, 'refs/pull/') }}
jobs:
test:
name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }}
runs-on: ${{ matrix.os }}
env:
PYTHON: '' # always use Conda.jl, even on Linux where `python`/`python3` is in the PATH
strategy:
fail-fast: false
matrix:
version:
- '1.0'
- '1.6'
- '1'
os:
- ubuntu-latest
- macOS-latest
- windows-latest
arch:
- x64
exclude:
# Conda installation fails: https://github.com/JuliaPy/Conda.jl/issues/230
- version: '1.0'
os: windows-latest
arch: x64
steps:
- uses: actions/checkout@v2
- uses: julia-actions/setup-julia@v1
with:
version: ${{ matrix.version }}
arch: ${{ matrix.arch }}
- uses: julia-actions/cache@v1
with:
cache-packages: "false" # Weird interaction with PyCall settings?
- uses: julia-actions/julia-buildpkg@v1
- name: Install POT
run: |
using PyCall: Conda
Conda.add("nomkl") # Work around https://github.com/JuliaPy/PyPlot.jl/issues/315
Conda.add("pot"; channel="conda-forge")
# Workaround for https://github.com/JuliaPy/PyCall.jl/issues/999: Use conda's version of the library
if !Sys.iswindows()
open(ENV["GITHUB_ENV"], "a") do io
println(io, "LD_PRELOAD=", joinpath(Conda.ROOTENV, "lib", "libstdc++.so.6"))
end
end
shell: julia --project=. --color=yes {0}
- uses: julia-actions/julia-runtest@v1
- uses: julia-actions/julia-processcoverage@v1
- uses: codecov/codecov-action@v2
with:
files: lcov.info
- uses: coverallsapp/github-action@master
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
path-to-lcov: ./lcov.info
flag-name: run-${{ matrix.version }}
parallel: true
finish:
needs: test
runs-on: ubuntu-latest
steps:
- name: Coveralls Finished
uses: coverallsapp/github-action@master
with:
github-token: ${{ secrets.github_token }}
parallel-finished: true