CI: remove macOS and conda jobs from Azure

[skip cirrus] [skip circle]

Author: rgommers

azure-pipelines.yml

@@ -84,90 +84,6 @@ stages:
             python3 -m pytest --pyargs numpy"
       displayName: 'Run 32-bit manylinux2014 Docker Build / Tests'
 
-
-  - job: macOS
-    pool:
-      vmImage: 'macOS-11'
-    strategy:
-      maxParallel: 2
-      matrix:
-          Python39:
-            PYTHON_VERSION: '3.9'
-          Python39-ILP64:
-            PYTHON_VERSION: '3.9'
-            NPY_USE_BLAS_ILP64: '1'
-    steps:
-    - script: |
-        git submodule update --init
-      displayName: 'Fetch submodules'
-    # the @0 refers to the (major) version of the *task* on Microsoft's
-    # end, not the order in the build matrix nor anything to do
-    # with version of Python selected
-    - task: UsePythonVersion@0
-      inputs:
-        versionSpec: $(PYTHON_VERSION)
-        addToPath: true
-        architecture: 'x64'
-    - script: |
-        set -xe
-        [ -n "$USE_XCODE_10" ] && /bin/bash -c "sudo xcode-select -s /Applications/Xcode_10.app/Contents/Developer"
-        clang --version
-      displayName: 'report clang version'
-
-    - script: |
-        if [[ $PLATFORM == "macosx-arm64" ]]; then
-            PLAT="arm64"
-        fi
-        source tools/wheels/gfortran_utils.sh
-        install_gfortran
-      displayName: 'install gfortran'
-    # use the pre-built openblas binary that most closely matches our MacOS
-    # wheel builds -- currently based primarily on file size / name details
-    - script: |
-        set -xe
-        target=$(python tools/openblas_support.py)
-        ls -lR $target
-        # manually link to appropriate system paths
-        cp $target/lib/lib* /usr/local/lib/
-        cp $target/include/* /usr/local/include/
-        otool -L /usr/local/lib/libopenblas*
-      displayName: 'install pre-built openblas'
-    - script: python -m pip install --upgrade pip
-      displayName: 'Install tools'
-    - script: |
-        python -m pip install -r test_requirements.txt
-        # Don't use doc_requirements.txt since that messes up tests
-        python -m pip install vulture sphinx==4.3.0 numpydoc==1.4.0 ninja
-      displayName: 'Install dependencies; some are optional to avoid test skips'
-    - script: /bin/bash -c "! vulture . --min-confidence 100 --exclude doc/,numpy/distutils/ | grep 'unreachable'"
-      displayName: 'Check for unreachable code paths in Python modules'
-
-    - script: git submodule update --init
-      displayName: 'Fetch submodules'
-
-    # TODO: pick up the correct OpenBLAS libraries once we can install those through wheels
-    - script: python -m pip install . -Ccompile-args="-j4" -Csetup-args="-Dallow-noblas=true"
-      displayName: 'Build NumPy'
-
-    # only install matplotlib here, to avoid pulling in an older numpy
-    - script: python -m pip install matplotlib
-      displayName: 'Install matplotlib before refguide run'
-
-    - script: |
-        set -xe
-        cd tools
-        python refguide_check.py --doctests
-      displayName: 'Run Refguide Check'
-
-    - script: |
-        cd tools
-        echo LIBRARY_PATH ${LIBRARY_PATH}
-        pytest --pyargs numpy
-      displayName: 'Run Full NumPy Test Suite'
-      env:
-        # gfortran installed above adds -lSystem, so this is needed to find it (gh-22043)
-        LIBRARY_PATH: /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/lib
-
   - job: Windows
     pool:
       vmImage: 'windows-2019'
@@ -196,29 +112,3 @@ stages:
 
     steps:
     - template: azure-steps-windows.yml
-
-
-  - job: Linux_conda
-    pool:
-      vmImage: 'ubuntu-20.04'
-    steps:
-    - script: |
-        git submodule update --init
-      displayName: 'Fetch submodules'
-    - script: |
-        conda env create -f environment.yml
-      displayName: 'Create conda environment.'
-    - script: |
-        # >>> conda initialize >>>
-        # !! Contents within this block are 'conda init' !!
-        # see https://github.com/conda/conda/issues/7980
-        __conda_setup="$('conda' 'shell.bash' 'hook' 2> /dev/null)"
-        eval "$__conda_setup"
-        unset __conda_setup
-        # <<< conda initialize <<<
-        conda activate numpy-dev
-        # Note: conda env activation doesn't carry over between steps, so
-        # build/test are both in this step
-        spin build -- -Dcpu-baseline=native -Dcpu-dispatch=none
-        spin test -m full
-      displayName: 'Build with native baseline, run full test suite'