#!/bin/bash set -e echo "Activating test environment:" if [[ "$PYTHON_VERSION" == pypy3* ]]; then source pypy3/bin/activate else source activate testenv fi which python python -V python -c "import multiprocessing as mp; print('multiprocessing.cpu_count():', mp.cpu_count())" python -c "import joblib; print('joblib.cpu_count():', joblib.cpu_count())" if [[ "$SKIP_TESTS" != "true" ]]; then if [ "$COVERAGE" == "true" ]; then # Enable coverage-related options. --cov-append is needed to combine # the test run and the test-doc run coverage. export PYTEST_ADDOPTS="--cov=joblib --cov-append" fi pytest joblib -vl --timeout=120 --junitxml="${JUNITXML}" make test-doc fi if [[ "$SKLEARN_TESTS" == "true" ]]; then # Install the nightly build of scikit-learn and test against the installed # development version of joblib. # TODO: unpin pip once either https://github.com/pypa/pip/issues/10825 # accepts invalid HTML or Anaconda is fixed. conda install -y -c conda-forge cython pillow numpy scipy "pip<22" pip install --pre --extra-index https://pypi.anaconda.org/scipy-wheels-nightly/simple scikit-learn python -c "import sklearn; print('Testing scikit-learn', sklearn.__version__)" # Move to a dedicated folder to avoid being polluted by joblib specific conftest.py # and disable the doctest plugin to avoid issues with doctests in scikit-learn # docstrings that require setting print_changed_only=True temporarily. NEW_TEST_DIR=$(mktemp -d) cd $NEW_TEST_DIR pytest -vl --maxfail=5 -p no:doctest \ -k "not test_import_is_deprecated" \ -k "not test_check_memory" \ --pyargs sklearn # Justification for skipping some tests: # # test_import_is_deprecated: Don't worry about deprecated imports: this is # tested for real in upstream scikit-learn and this is not joblib's # responsibility. Let's skip this test to avoid false positives in joblib's # CI. # # test_check_memory: scikit-learn test need to be updated to avoid using # cachedir: https://github.com/scikit-learn/scikit-learn/pull/22365 fi