Deprecated and remove from_legacy_dataframe usage #959
Workflow file for this run
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| name: Tests / dask/dask | |
| on: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| workflow_dispatch: | |
| # When this workflow is queued, automatically cancel any previous running | |
| # or pending jobs from the same branch | |
| concurrency: | |
| group: dask_test-${{ github.ref }} | |
| cancel-in-progress: true | |
| # Required shell entrypoint to have properly activated conda environments | |
| defaults: | |
| run: | |
| shell: bash -l {0} | |
| jobs: | |
| test: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: ["3.10", "3.12"] | |
| environment-file: [ci/environment.yml] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 # Needed by codecov.io | |
| - name: Get current date | |
| id: date | |
| run: echo "date=$(date +%Y-%m-%d)" >> "${GITHUB_OUTPUT}" | |
| - name: Install Environment | |
| uses: mamba-org/setup-micromamba@v1 | |
| with: | |
| environment-file: ${{ matrix.environment-file }} | |
| create-args: python=${{ matrix.python-version }} | |
| # Wipe cache every 24 hours or whenever environment.yml changes. This means it | |
| # may take up to a day before changes to unpinned packages are picked up. | |
| # To force a cache refresh, change the hardcoded numerical suffix below. | |
| cache-environment-key: environment-${{ steps.date.outputs.date }}-0 | |
| - name: Install current main versions of dask | |
| run: python -m pip install git+https://github.com/dask/dask | |
| - name: Install current main versions of distributed | |
| run: python -m pip install git+https://github.com/dask/distributed | |
| - name: Install dask-expr | |
| run: python -m pip install -e . --no-deps | |
| - name: Print dask versions | |
| # Output of `micromamba list` is buggy for pip-installed packages | |
| run: pip list | grep -E 'dask|distributed' | |
| - name: Run Dask DataFrame tests | |
| run: python -c "import dask.dataframe as dd; dd.test_dataframe()" |