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check_registry.yml
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name: Check Registry
on:
pull_request:
branches:
- master
jobs:
check_registry:
# if: (${{ github.head_ref }} == "dev") && (${{ github.repository }} == ${{ github.event.pull_request.head.repo.full_name }})
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
version:
- '1'
os:
- ubuntu-latest
arch:
- x64
env:
PYTHON: Conda
# remove next line (and others marked below) when
# JuliaAI/MLJScikitLearnInterface.jl#42 properly resolved
# LD_LIBRARY_PATH: /home/runner/.julia/conda/3/lib
steps:
- uses: actions/checkout@v2
- uses: julia-actions/setup-julia@v1
with:
version: ${{ matrix.version }}
arch: ${{ matrix.arch }}
- uses: actions/cache@v1
env:
cache-name: cache-artifacts
with:
path: ~/.julia/artifacts
key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
restore-keys: |
${{ runner.os }}-test-${{ env.cache-name }}-
${{ runner.os }}-test-
${{ runner.os }}-
- uses: julia-actions/julia-buildpkg@v1
- run: julia -e 'using Pkg; Pkg.Registry.update()'
- run: julia -e 'using Pkg; Pkg.develop(Pkg.PackageSpec(path = pwd()))'
- run: julia -e 'using Pkg; Pkg.add("Test")'
# remove next eight lines (and one other marked above) when
# JuliaAI/MLJScikitLearnInterface.jl#42 gets properly resolved
#- name: "Install Conda"
# run: julia -e 'using Pkg; Pkg.add("Conda");'
#- name: "Install Scikit-learn"
# run: |
# julia -e 'using Conda; Conda.add("scikit-learn");'\
# cd $LD_LIBRARY_PATH #just to check that the path is valid
#
- run: julia -e 'using Pkg; Pkg.update()'
- run: julia -e 'using Pkg; Pkg.precompile()'
- run: julia -e 'using Pkg; Pkg.status()'
- run: julia -e 'using MLJModels; using Test; problems = MLJModels.check_registry(); @info("", length(problems), problems); @test(isempty(problems))'