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conda-package.yml
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name: Conda package
on: push
permissions: read-all
env:
PACKAGE_NAME: mkl_umath
MODULE_NAME: mkl_umath
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python: ['3.10', '3.11', '3.12']
steps:
- uses: actions/[email protected]
with:
fetch-depth: 0
- name: Set pkgs_dirs
run: |
echo "pkgs_dirs: [~/.conda/pkgs]" >> ~/.condarc
- name: Cache conda packages
uses: actions/cache@v4
env:
CACHE_NUMBER: 0 # Increase to reset cache
with:
path: ~/.conda/pkgs
key:
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-${{hashFiles('**/meta.yaml') }}
restore-keys: |
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-
- name: Add conda to system path
run: echo $CONDA/bin >> $GITHUB_PATH
- name: Install conda-build
run: conda install conda-build
- name: Build conda package
run: |
CHANNELS="-c conda-forge -c https://software.repos.intel.com/python/conda --override-channels"
VERSIONS="--python ${{ matrix.python }}"
TEST="--no-test"
echo "CONDA_BLD=${CONDA}/conda-bld/linux-64" >> $GITHUB_ENV
conda build \
$TEST \
$VERSIONS \
$CHANNELS \
conda-recipe-cf
- name: Upload artifact
uses: actions/[email protected]
with:
name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
path: ${{ env.CONDA_BLD }}/${{ env.PACKAGE_NAME }}-*.tar.bz2
test:
needs: build
runs-on: ${{ matrix.runner }}
strategy:
matrix:
python: ['3.10', '3.11', '3.12']
experimental: [false]
runner: [ubuntu-latest]
continue-on-error: ${{ matrix.experimental }}
env:
CHANNELS: -c conda-forge -c https://software.repos.intel.com/python/conda --override-channels
steps:
- name: Download artifact
uses: actions/download-artifact@v4
with:
name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
- name: Add conda to system path
run: echo $CONDA/bin >> $GITHUB_PATH
- name: Install conda-build
run: conda install conda-build
- name: Create conda channel
run: |
mkdir -p $GITHUB_WORKSPACE/channel/linux-64
mv ${PACKAGE_NAME}-*.tar.bz2 $GITHUB_WORKSPACE/channel/linux-64
conda index $GITHUB_WORKSPACE/channel
# Test channel
conda search $PACKAGE_NAME -c $GITHUB_WORKSPACE/channel --override-channels
- name: Collect dependencies
run: |
CHANNELS="-c $GITHUB_WORKSPACE/channel ${{ env.CHANNELS }}"
conda create -n test_mkl_umath $PACKAGE_NAME python=${{ matrix.python }} $CHANNELS --only-deps --dry-run > lockfile
- name: Display lockfile
run: cat lockfile
- name: Set pkgs_dirs
run: |
echo "pkgs_dirs: [~/.conda/pkgs]" >> ~/.condarc
- name: Cache conda packages
uses: actions/cache@v4
env:
CACHE_NUMBER: 0 # Increase to reset cache
with:
path: ~/.conda/pkgs
key:
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-${{hashFiles('lockfile') }}
restore-keys: |
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-
- name: Install mkl_umath
run: |
CHANNELS="-c $GITHUB_WORKSPACE/channel ${{ env.CHANNELS }}"
conda create -n test_mkl_umath python=${{ matrix.python }} $PACKAGE_NAME pytest $CHANNELS
# Test installed packages
conda list -n test_mkl_umath
- name: Run tests
run: |
source $CONDA/etc/profile.d/conda.sh
conda activate test_mkl_umath
python -c "import mkl_umath, numpy as np; mkl_umath.use_in_numpy(); np.sin(np.linspace(0, 1, num=10**6));"
build_windows:
runs-on: windows-2019
strategy:
matrix:
python: ['3.10', '3.11', '3.12']
env:
conda-bld: C:\Miniconda\conda-bld\win-64\
steps:
- uses: actions/[email protected]
with:
fetch-depth: 0
- uses: conda-incubator/setup-miniconda@v3
with:
miniforge-variant: Miniforge3
miniforge-version: latest
activate-environment: build
channels: conda-forge
python-version: ${{ matrix.python }}
- name: Cache conda packages
uses: actions/cache@v4
env:
CACHE_NUMBER: 3 # Increase to reset cache
with:
path: /home/runner/conda_pkgs_dir
key:
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-${{hashFiles('**/meta.yaml') }}
restore-keys: |
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-
- name: Store conda paths as envs
shell: bash -l {0}
run: |
echo "CONDA_BLD=$CONDA/conda-bld/win-64/" | tr "\\\\" '/' >> $GITHUB_ENV
- name: Install conda build
run: |
conda activate
conda install -y conda-build
conda list -n base
- name: Build conda package
run: |
conda activate
conda build --no-test --python ${{ matrix.python }} -c conda-forge -c https://software.repos.intel.com/python/conda --override-channels conda-recipe-cf
- name: Upload artifact
uses: actions/[email protected]
with:
name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
path: ${{ env.CONDA_BLD }}${{ env.PACKAGE_NAME }}-*.tar.bz2
test_windows:
needs: build_windows
runs-on: ${{ matrix.runner }}
defaults:
run:
shell: cmd /C CALL {0}
strategy:
matrix:
python: ['3.10', '3.11', '3.12']
experimental: [false]
runner: [windows-2019]
continue-on-error: ${{ matrix.experimental }}
env:
workdir: '${{ github.workspace }}'
CHANNELS: -c conda-forge -c https://software.repos.intel.com/python/conda --override-channels
steps:
- name: Download artifact
uses: actions/download-artifact@v4
with:
name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
- uses: conda-incubator/setup-miniconda@v3
with:
auto-update-conda: true
conda-build-version: '*'
miniforge-variant: Miniforge3
miniforge-version: latest
activate-environment: mkl_umath_test
channels: conda-forge
python-version: ${{ matrix.python }}
- name: Create conda channel with the artifact bit
shell: cmd /C CALL {0}
run: |
echo ${{ env.workdir }}
mkdir ${{ env.workdir }}\channel\win-64
move ${{ env.PACKAGE_NAME }}-*.tar.bz2 ${{ env.workdir }}\channel\win-64
dir ${{ env.workdir }}\channel\win-64
- name: Index the channel
shell: cmd /C CALL {0}
run: |
conda index ${{ env.workdir }}\channel
- name: Dump mkl_umath version info from created channel to STDOUT
shell: cmd /C CALL {0}
run: |
conda search ${{ env.PACKAGE_NAME }} -c ${{ env.workdir }}/channel --override-channels --info --json
- name: Dump mkl_umath version info from created channel into ver.json
shell: cmd /C CALL {0}
run: |
conda search ${{ env.PACKAGE_NAME }} -c ${{ env.workdir }}/channel --override-channels --info --json > ${{ env.workdir }}\ver.json
- name: Output content of workdir
shell: pwsh
run: Get-ChildItem -Path ${{ env.workdir }}
- name: Output content of produced ver.json
shell: pwsh
run: Get-Content -Path ${{ env.workdir }}\ver.json
- name: Collect dependencies
shell: cmd /C CALL {0}
run: |
IF NOT EXIST ver.json (
copy /Y ${{ env.workdir }}\ver.json .
)
SET "SCRIPT=%VER_SCRIPT1% %VER_SCRIPT2%"
FOR /F "tokens=* USEBACKQ" %%F IN (`python -c "%SCRIPT%"`) DO (
SET PACKAGE_VERSION=%%F
)
conda install -n mkl_umath_test ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% python=${{ matrix.python }} -c ${{ env.workdir }}/channel ${{ env.CHANNELS }} --only-deps --dry-run > lockfile
- name: Display lockfile content
shell: pwsh
run: Get-Content -Path .\lockfile
- name: Cache conda packages
uses: actions/cache@v4
env:
CACHE_NUMBER: 0 # Increase to reset cache
with:
path: /home/runner/conda_pkgs_dir
key:
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-${{hashFiles('lockfile') }}
restore-keys: |
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}-
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-
- name: Install mkl_umath
shell: cmd /C CALL {0}
run: |
@ECHO ON
IF NOT EXIST ver.json (
copy /Y ${{ env.workdir }}\ver.json .
)
set "SCRIPT=%VER_SCRIPT1% %VER_SCRIPT2%"
FOR /F "tokens=* USEBACKQ" %%F IN (`python -c "%SCRIPT%"`) DO (
SET PACKAGE_VERSION=%%F
)
SET "TEST_DEPENDENCIES=pytest pytest-cov"
conda install -n mkl_umath_test ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% %TEST_DEPENDENCIES% python=${{ matrix.python }} -c ${{ env.workdir }}/channel ${{ env.CHANNELS }}
- name: Report content of test environment
shell: cmd /C CALL {0}
run: |
conda activate
echo "Value of CONDA enviroment variable was: " %CONDA%
echo "Value of CONDA_PREFIX enviroment variable was: " %CONDA_PREFIX%
conda info && conda list -n mkl_umath_test
- name: Run tests
shell: cmd /C CALL {0}
run: >-
conda activate mkl_umath_test && python -c "import mkl_umath, numpy as np; mkl_umath.use_in_numpy(); np.sin(np.linspace(0, 1, num=10**6));"