Fix the lowerbound for NumPy #3633
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| name: Build and test | |
| on: | |
| push: | |
| branches: | |
| - master | |
| pull_request: | |
| branches: | |
| - master | |
| jobs: | |
| pip_build: | |
| name: PIP (Python, Spark, pandas, PyArrow) | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| include: | |
| - python-version: 3.5 | |
| spark-version: 2.3.4 | |
| pandas-version: 0.23.4 | |
| pyarrow-version: 0.16.0 | |
| numpy-version: 1.18.5 | |
| - python-version: 3.6 | |
| spark-version: 2.3.4 | |
| pandas-version: 0.24.2 | |
| pyarrow-version: 0.10.0 | |
| numpy-version: 1.19.5 | |
| default-index-type: 'distributed-sequence' | |
| - python-version: 3.9 | |
| spark-version: 3.1.2 | |
| pandas-version: 1.2.5 | |
| pyarrow-version: 3.0.0 | |
| numpy-version: 1.20.3 | |
| - python-version: 3.9 | |
| spark-version: 3.2.0 | |
| pandas-version: 1.2.5 | |
| pyarrow-version: 4.0.1 | |
| numpy-version: 1.21.2 | |
| default-index-type: 'distributed-sequence' | |
| env: | |
| PYTHON_VERSION: ${{ matrix.python-version }} | |
| SPARK_VERSION: ${{ matrix.spark-version }} | |
| PANDAS_VERSION: ${{ matrix.pandas-version }} | |
| PYARROW_VERSION: ${{ matrix.pyarrow-version }} | |
| NUMPY_VERSION: ${{ matrix.numpy-version }} | |
| DEFAULT_INDEX_TYPE: ${{ matrix.default-index-type }} | |
| KOALAS_TESTING: 1 | |
| SPARK_LOCAL_IP: 127.0.0.1 | |
| # DISPLAY=0.0 does not work in Github Actions with Python 3.5. Here we work around with xvfb-run | |
| PYTHON_EXECUTABLE: xvfb-run python | |
| # Github token is required to auto-generate the release notes from Github release notes | |
| GITHUB_OAUTH_KEY: ${{ secrets.GITHUB_TOKEN }} | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - uses: actions/setup-java@v1 | |
| with: | |
| java-version: 1.8 | |
| - uses: actions/cache@v1 | |
| with: | |
| path: ~/.cache/pip | |
| key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements-dev.txt') }} | |
| restore-keys: | | |
| ${{ runner.os }}-pip- | |
| - uses: actions/setup-python@v2 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Install dependencies | |
| run: | | |
| sudo apt-get install xclip | |
| # It fails due to missing 'bdist_wheel' for some reasons. Explicitly installs it. | |
| # See also https://github.com/palantir/python-language-server/issues/524#issuecomment-477068693. | |
| pip install wheel setuptools | |
| python setup.py bdist_wheel | |
| # Currently PIP with Python 3.5 removes Black in the requirements-dev.txt file | |
| # as Black only works with Python 3.6+. This is hacky but we will drop | |
| # Python 3.5 soon so it's fine. | |
| if [[ "$PYTHON_VERSION" < "3.6" ]]; then sed -i '/black/d' requirements-dev.txt; fi | |
| # sphinx-plotly-directive supports Python 3.6+ | |
| if [[ "$PYTHON_VERSION" < "3.6" ]]; then sed -i '/sphinx-plotly-directive/d' requirements-dev.txt; fi | |
| # Disable mypy check for PySpark 3.1 | |
| if [[ "$SPARK_VERSION" > "3.1" ]]; then sed -i '/mypy/d' requirements-dev.txt; fi | |
| pip install -r requirements-dev.txt | |
| pip install pandas==$PANDAS_VERSION pyarrow==$PYARROW_VERSION pyspark==$SPARK_VERSION numpy==$NUMPY_VERSION | |
| # matplotlib dropped Python 3.5 support from 3.1.x; however, 3.0.3 only supports sphinx 2.x. | |
| # It forces the sphinx version to 2.x. | |
| if [[ "$PYTHON_VERSION" < "3.6" ]]; then pip install "sphinx<3.0.0"; fi | |
| pip list | |
| - name: Run tests | |
| run: | | |
| # lint-python uses python3 as default. Seems python3 could pick a different Python. | |
| # Looks a side effect from manual Python 3.5 installation. | |
| PYTHON_EXECUTABLE=python ./dev/lint-python | |
| ./dev/pytest | |
| - uses: codecov/codecov-action@v1 | |
| conda_build: | |
| name: Conda (Python, Spark, pandas, PyArrow) | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| include: | |
| - python-version: 3.6 | |
| spark-version: 2.4.7 | |
| pandas-version: 0.24.2 | |
| pyarrow-version: 0.14.1 | |
| numpy-version: 1.19.5 | |
| logger: databricks.koalas.usage_logging.usage_logger | |
| - python-version: 3.7 | |
| spark-version: 2.4.7 | |
| pandas-version: 0.25.3 | |
| pyarrow-version: 0.15.1 | |
| numpy-version: 1.19.5 | |
| default-index-type: 'distributed-sequence' | |
| - python-version: 3.7 | |
| spark-version: 3.0.2 | |
| pandas-version: 1.0.5 | |
| pyarrow-version: 1.0.1 | |
| numpy-version: 1.19.5 | |
| - python-version: 3.7 | |
| spark-version: 3.1.1 | |
| pandas-version: 1.1.5 | |
| pyarrow-version: 2.0.0 | |
| numpy-version: 1.19.5 | |
| default-index-type: 'distributed-sequence' | |
| - python-version: 3.8 | |
| spark-version: 3.0.2 | |
| pandas-version: 1.1.5 | |
| pyarrow-version: 2.0.0 | |
| numpy-version: 1.19.5 | |
| - python-version: 3.8 | |
| spark-version: 3.1.1 | |
| pandas-version: 1.2.5 | |
| pyarrow-version: 3.0.0 | |
| numpy-version: 1.20.3 | |
| default-index-type: 'distributed-sequence' | |
| env: | |
| PYTHON_VERSION: ${{ matrix.python-version }} | |
| SPARK_VERSION: ${{ matrix.spark-version }} | |
| PANDAS_VERSION: ${{ matrix.pandas-version }} | |
| PYARROW_VERSION: ${{ matrix.pyarrow-version }} | |
| NUMPY_VERSION: ${{ matrix.numpy-version }} | |
| DEFAULT_INDEX_TYPE: ${{ matrix.default-index-type }} | |
| KOALAS_TESTING: 1 | |
| SPARK_LOCAL_IP: 127.0.0.1 | |
| # `QT_QPA_PLATFORM` for resolving 'QXcbConnection: Could not connect to display :0.0' | |
| DISPLAY: 0.0 | |
| QT_QPA_PLATFORM: offscreen | |
| KOALAS_USAGE_LOGGER: ${{ matrix.logger }} | |
| # Github token is required to auto-generate the release notes from Github release notes | |
| GITHUB_OAUTH_KEY: ${{ secrets.GITHUB_TOKEN }} | |
| # Github Actions' default miniconda | |
| CONDA_PREFIX: /usr/share/miniconda | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - uses: actions/setup-java@v1 | |
| with: | |
| java-version: 1.8 | |
| - name: Install dependencies | |
| run: | | |
| # See also https://github.com/conda/conda/issues/7980 | |
| source "$CONDA_PREFIX/etc/profile.d/conda.sh" | |
| conda update -q conda | |
| conda create -c conda-forge -q -n test-environment python=$PYTHON_VERSION | |
| conda activate test-environment | |
| conda install -c conda-forge --yes codecov | |
| conda config --env --add pinned_packages python=$PYTHON_VERSION | |
| conda config --env --add pinned_packages pandas==$PANDAS_VERSION | |
| conda config --env --add pinned_packages pyarrow==$PYARROW_VERSION | |
| conda config --env --add pinned_packages numpy==$NUMPY_VERSION | |
| conda config --env --add pinned_packages pyspark==$SPARK_VERSION | |
| if [[ "$SPARK_VERSION" < "3.0" ]]; then | |
| pip install pyspark==$SPARK_VERSION | |
| else | |
| conda install -c conda-forge --yes pyspark==$SPARK_VERSION | |
| fi | |
| conda install -c conda-forge --yes pandas==$PANDAS_VERSION pyarrow==$PYARROW_VERSION numpy==$NUMPY_VERSION | |
| sed -i -e "/pandas/d" -e "/pyarrow/d" -e "/numpy>=/d" requirements-dev.txt | |
| # Disable mypy check for PySpark 3.1 | |
| if [[ "$SPARK_VERSION" > "3.1" ]]; then sed -i '/mypy/d' requirements-dev.txt; fi | |
| # sphinx-plotly-directive is not available on Conda. | |
| sed -i '/sphinx-plotly-directive/d' requirements-dev.txt | |
| conda install -c conda-forge --yes --file requirements-dev.txt | |
| pip install sphinx-plotly-directive # pip-only dependency | |
| conda list | |
| - name: Run tests | |
| run: | | |
| # See also https://github.com/conda/conda/issues/7980 | |
| source "$CONDA_PREFIX/etc/profile.d/conda.sh" | |
| conda activate test-environment | |
| ./dev/lint-python | |
| ./dev/pytest | |
| - uses: codecov/codecov-action@v1 |