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Add workflow to build from conda-forge only
Build with NumPy 2.0, test with 1.26* and 2.0 Added conda-recipe-cf which does not use numpy-base necessary when working with intel channel
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name: Conda package using conda-forge | ||
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on: push | ||
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permissions: read-all | ||
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env: | ||
PACKAGE_NAME: mkl_random | ||
MODULE_NAME: mkl_random | ||
TEST_ENV_NAME: test_mkl_random | ||
VER_SCRIPT1: "import json; f = open('ver.json', 'r'); j = json.load(f); f.close(); " | ||
VER_SCRIPT2: "d = j['mkl_random'][0]; print('='.join((d[s] for s in ('version', 'build'))))" | ||
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jobs: | ||
build_linux: | ||
runs-on: ubuntu-latest | ||
strategy: | ||
matrix: | ||
python: ["3.9", "3.10", "3.11", "3.12"] | ||
steps: | ||
- uses: actions/checkout@v4 | ||
with: | ||
fetch-depth: 0 | ||
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- 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 --override-channels" | ||
VERSIONS="--python ${{ matrix.python }} --numpy 2" | ||
TEST="--no-test" | ||
conda build \ | ||
$TEST \ | ||
$VERSIONS \ | ||
$CHANNELS \ | ||
conda-recipe-cf | ||
- name: Upload artifact | ||
uses: actions/upload-artifact@v4 | ||
with: | ||
name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }} | ||
path: /usr/share/miniconda/conda-bld/linux-64/${{ env.PACKAGE_NAME }}-*.tar.bz2 | ||
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build_windows: | ||
runs-on: windows-2019 | ||
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strategy: | ||
matrix: | ||
python: ["3.9", "3.10", "3.11", "3.12"] | ||
env: | ||
conda-bld: C:\Miniconda\conda-bld\win-64\ | ||
steps: | ||
- uses: actions/checkout@v4 | ||
with: | ||
fetch-depth: 0 | ||
- uses: conda-incubator/setup-miniconda@v3 | ||
with: | ||
auto-activate-base: true | ||
activate-environment: "" | ||
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- 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: Install conda-build | ||
run: conda install conda-build | ||
- name: Build conda package | ||
run: conda build --no-test --python ${{ matrix.python }} --numpy 2 -c conda-forge --override-channels conda-recipe-cf | ||
- name: Upload artifact | ||
uses: actions/upload-artifact@v4 | ||
with: | ||
name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }} | ||
path: ${{ env.conda-bld }}${{ env.PACKAGE_NAME }}-*.tar.bz2 | ||
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test_linux: | ||
needs: build_linux | ||
runs-on: ${{ matrix.runner }} | ||
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strategy: | ||
matrix: | ||
python: ["3.9", "3.10", "3.11", "3.12"] | ||
numpy: ["1.26*", "2*"] | ||
experimental: [false] | ||
runner: [ubuntu-latest] | ||
continue-on-error: ${{ matrix.experimental }} | ||
env: | ||
CHANNELS: -c conda-forge --override-channels | ||
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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 | ||
conda index $GITHUB_WORKSPACE/channel || exit 1 | ||
mv ${PACKAGE_NAME}-*.tar.bz2 $GITHUB_WORKSPACE/channel/linux-64 || exit 1 | ||
conda index $GITHUB_WORKSPACE/channel || exit 1 | ||
# Test channel | ||
conda search $PACKAGE_NAME -c $GITHUB_WORKSPACE/channel --override-channels --info --json > $GITHUB_WORKSPACE/ver.json | ||
cat ver.json | ||
- name: Collect dependencies | ||
run: | | ||
. $CONDA/etc/profile.d/conda.sh | ||
CHANNELS="-c $GITHUB_WORKSPACE/channel ${{ env.CHANNELS }}" | ||
export PACKAGE_VERSION=$(python -c "${VER_SCRIPT1} ${VER_SCRIPT2}") | ||
conda create -n ${{ env.TEST_ENV_NAME }} $PACKAGE_NAME=${PACKAGE_VERSION} python=${{ matrix.python }} numpy=${{ matrix.numpy }} $CHANNELS --only-deps --dry-run > lockfile | ||
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_random | ||
run: | | ||
. $CONDA/etc/profile.d/conda.sh | ||
CHANNELS="-c $GITHUB_WORKSPACE/channel ${{ env.CHANNELS }}" | ||
export PACKAGE_VERSION=$(python -c "${VER_SCRIPT1} ${VER_SCRIPT2}") | ||
conda create -n ${{ env.TEST_ENV_NAME }} $PACKAGE_NAME=${PACKAGE_VERSION} pytest python=${{ matrix.python }} numpy=${{ matrix.numpy }} $CHANNELS | ||
# Test installed packages | ||
conda list | ||
- name: Run tests | ||
run: | | ||
. $CONDA/etc/profile.d/conda.sh | ||
conda activate ${{ env.TEST_ENV_NAME }} | ||
pytest -vv --pyargs ${{ env.MODULE_NAME }} | ||
test_windows: | ||
needs: build_windows | ||
runs-on: ${{ matrix.runner }} | ||
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strategy: | ||
matrix: | ||
python: ["3.9", "3.10", "3.11", "3.12"] | ||
numpy: ["1.26*", "2*"] | ||
experimental: [false] | ||
runner: [windows-2019] | ||
continue-on-error: ${{ matrix.experimental }} | ||
env: | ||
CHANNELS: -c conda-forge --override-channels | ||
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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-activate-base: true | ||
activate-environment: "" | ||
- name: Install conda-build | ||
# Needed to be able to run conda index | ||
run: conda install conda-build | ||
- name: Create conda channel | ||
run: | | ||
mkdir ${{ env.GITHUB_WORKSPACE }}\channel\win-64 | ||
move ${{ env.PACKAGE_NAME }}-*.tar.bz2 ${{ env.GITHUB_WORKSPACE }}\channel\win-64 | ||
conda index ${{ env.GITHUB_WORKSPACE }}/channel | ||
# Test channel | ||
conda search ${{ env.PACKAGE_NAME }} -c ${{ env.GITHUB_WORKSPACE }}/channel --override-channels --info --json > ${{ env.GITHUB_WORKSPACE }}\ver.json | ||
more ${{ env.GITHUB_WORKSPACE }}\ver.json | ||
- name: Collect dependencies | ||
shell: cmd | ||
run: | | ||
@ECHO ON | ||
copy /Y ${{ env.GITHUB_WORKSPACE }}\ver.json . | ||
set "SCRIPT=%VER_SCRIPT1% %VER_SCRIPT2%" | ||
FOR /F "tokens=* USEBACKQ" %%F IN (`python -c "%SCRIPT%"`) DO ( | ||
SET PACKAGE_VERSION=%%F | ||
) | ||
conda create -n ${{ env.TEST_ENV_NAME }} ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% python=${{ matrix.python }} numpy=${{ matrix.numpy }} -c ${{ env.GITHUB_WORKSPACE }}/channel ${{ env.CHANNELS }} --only-deps --dry-run > lockfile | ||
more lockfile | ||
- 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('lockfile') }} | ||
restore-keys: | | ||
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-python-${{ matrix.python }}- | ||
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}- | ||
- name: Install mkl_random | ||
shell: cmd | ||
run: | | ||
@ECHO ON | ||
copy /Y ${{ env.GITHUB_WORKSPACE }}\ver.json . | ||
set "SCRIPT=%VER_SCRIPT1% %VER_SCRIPT2%" | ||
FOR /F "tokens=* USEBACKQ" %%F IN (`python -c "%SCRIPT%"`) DO ( | ||
SET PACKAGE_VERSION=%%F | ||
) | ||
conda create -n ${{ env.TEST_ENV_NAME }} ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% pytest python=${{ matrix.python }} numpy=${{ matrix.numpy }} -c ${{ env.GITHUB_WORKSPACE }}/channel ${{ env.CHANNELS }} | ||
# Test installed packages | ||
conda list | ||
- name: Run tests | ||
run: | | ||
conda activate -n ${{ env.TEST_ENV_NAME }} | ||
pytest -v --pyargs ${{ env.MODULE_NAME }} |
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@rem Remember to source the compiler | ||
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set MKLROOT=%CONDA_PREFIX% | ||
%PYTHON% setup.py install | ||
if errorlevel 1 exit 1 |
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#!/bin/bash -x | ||
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export CFLAGS="-I$PREFIX/include $CFLAGS" | ||
export MKLROOT=$CONDA_PREFIX | ||
$PYTHON setup.py install |
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{% set version = "1.2.6" %} | ||
{% set buildnumber = 0 %} | ||
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package: | ||
name: mkl_random | ||
version: {{ version }} | ||
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source: | ||
path: .. | ||
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build: | ||
number: {{buildnumber}} | ||
ignore_run_exports: | ||
- blas | ||
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requirements: | ||
build: | ||
- {{ compiler('c') }} | ||
- {{ compiler('cxx') }} | ||
host: | ||
- python | ||
- setuptools | ||
- mkl-devel | ||
- cython | ||
- numpy | ||
- pip | ||
run: | ||
- python | ||
- numpy | ||
- {{ pin_compatible('mkl', min_pin="x.x", max_pin="x") }} | ||
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test: | ||
commands: | ||
- pytest --pyargs mkl_random | ||
requires: | ||
- pytest | ||
- mkl-service | ||
- numpy | ||
imports: | ||
- mkl_random | ||
- mkl_random.mklrand | ||
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about: | ||
home: http://github.com/IntelPython/mkl_random | ||
license: BSD-3-Clause | ||
license_family: BSD | ||
license_file: LICENSE.txt | ||
summary: NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL. |