Build and test conda-recipe-cf for Intel Python CI by jharlow-intel · Pull Request #204 · IntelPython/mkl_random

jharlow-intel · 2026-10-23T20:23:40Z

Description

Adds what Intel Python CI (gh-ci) needs from mkl_random: a ci/ directory and a new workflow, .github/workflows/intel-ci.yml. The workflow builds conda-recipe-cf for every platform and Python version the recipe declares, and tests each package in a clean conda-forge environment with ci/test.py. Intel's Jenkins then waits for that run, tests each package again on its own machines, scans it, and for a release tag publishes the packages it tested. Jenkins isn't switched on for mkl_random yet, so until it is, this only adds a GitHub Actions workflow.

ci/matrix.py, ci/build.py, ci/hooks.py: the shared gh-ci scripts, standard library only. Here they look for conda-recipe-cf/ first and build Linux and Windows on GitHub-hosted runners. hooks.py installs the test requirements from ci/config.yml, the way Jenkins does.
ci/test.py: runs pytest --pyargs mkl_random against the installed package and writes a JUnit report.
ci/config.yml: the workflow, the artifact names (mkl_random {platform} Python {python}, as conda-package-cf.yml names them) and the test requirements, pytest.
conda-recipe-cf/conda_build_config.yaml: now lists the Python versions, the ones conda-package-cf.yml builds today, for ci/matrix.py, and numpy: '2'. Without a NumPy variant, conda-build falls back to NumPy 1.26, which has no builds for Python 3.13 and newer. conda-package-cf.yml passes --python and --numpy itself, so it is unaffected.
ci/README.md and AGENTS.md notes.

A pull request builds the two newest regular Python versions on Linux and Windows; pushes to master and tags build them all.

Miniforge is pinned to 26.7.2-0. Miniforge 26.9.4-0, released on 22 October, makes setup-miniconda's conda init fail on Windows runners, and the existing conda-package*.yml workflows, which install latest, hit it too on this pull request.

Overlap with #202. It also sets numpy: '2' in conda_build_config.yaml and drops Python 3.10, so whichever lands second needs a small rebase, and if 3.10 goes it should leave the python: list here too. conda-package-cf.yml and intel-ci.yml now both build conda-recipe-cf; retiring one can be a follow-up.

Verification

Tests: this pull request's Intel Python CI run built Linux and Windows for Python 3.14 and 3.15 and ran ci/test.py against each package: 380 passed on Linux 3.14 and on Windows 3.15.
Lint: pre-commit run on every changed file, all hooks passing, and zizmor on intel-ci.yml, no findings.
python ci/matrix.py lists 14 builds, Linux and Windows for 3.10 to 3.15 and 3.14t; with --event pull_request it lists 3.14 and 3.15 on both.
ci/config.yml loads with gh-ci's own parser.

Not verified

The builds a tag or a push to the default branch adds, Python 3.10 to 3.13 and 3.14t; they use the same jobs.
The Jenkins side, which isn't enabled for mkl_random yet.

Adds what Intel Python CI (gh-ci) needs from this repository: ci/ with the shared matrix, build and test-hook scripts, ci/test.py and ci/config.yml, and .github/workflows/intel-ci.yml, which builds conda-recipe-cf for every platform and Python version the recipe declares and tests each package in a clean conda-forge environment, as Jenkins later does. conda-recipe-cf/conda_build_config.yaml now declares the Python versions conda-package-cf.yml builds, for ci/matrix.py, and NumPy 2: without a numpy variant conda-build falls back to NumPy 1.26, which has no builds for Python 3.13 and newer. conda-package-cf.yml passes --python and --numpy itself, so it is unaffected.

…ws runners

antonwolfy · 2026-10-26T21:29:32Z

+
+concurrency:
+  group: intel-ci-${{ github.ref }}
+  cancel-in-progress: true


With cancel-in-progress: true keyed on github.ref, two quick merges cancel the first commit's whole run. Jenkins, which waits for that run, gets no packages for it.

Suggested change

cancel-in-progress: true

cancel-in-progress: ${{ github.event_name == 'pull_request' }}

antonwolfy · 2026-10-26T21:37:08Z

+numpy:
+    - '2'


That only will work when ##202 is merged

antonwolfy · 2026-10-26T21:45:27Z

@@ -1,3 +1,16 @@
+# The Python versions to build, one per line and without selectors: ci/matrix.py
+# reads them for .github/workflows/intel-ci.yml. NumPy 2, as in conda-forge's
+# global pinning; conda-package-cf.yml passes its own with --python and --numpy.


--numpy is dropping in #202

antonwolfy · 2026-10-26T21:47:12Z

+        "--artifacts", required=True, type=Path, help="the downloaded artifact"
+    )
+    parser.add_argument(
+        "--work", required=True, type=Path, help="an empty scratch directory"


hooks.py doesn't check that --work is empty, and may install conda-index into the user's base environment.

antonwolfy · 2026-10-26T21:48:47Z

+
+      - uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
+        with:
+          python-version: "3.12"


Is there any issue to use the newer python?

antonwolfy · 2026-10-26T21:53:59Z

+          activate-environment: ""
+          conda-remove-defaults: "true"
+
+      - uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0


Alternatively we can drop setup-python and run with shell: bash -el {0} with base activated.

bash is available on Windows runners too, and setup-miniconda supports this shell there. The step bodies become plain python ci/build.py … and python ci/hooks.py …. The $CONDA path code and hooks.py's re-run of itself would then only matter for local use.

antonwolfy · 2026-10-26T22:00:21Z

@@ -0,0 +1,135 @@
+# Intel Python CI (gh-ci) for mkl_random: builds the conda-forge recipe, conda-recipe-cf, for every


The same PR is open in three repos at once.
Have you considered moving common things (scripts, workflow) to some common repo like https://github.com/IntelPython/devops-tools ?
That would help to reduce the duplication.

jharlow-intel added 2 commits October 23, 2026 14:22

Pin Miniforge in Intel Python CI: 26.9.4-0 breaks conda init on Windo…

5d87148

…ws runners

jharlow-intel marked this pull request as ready for review October 23, 2026 20:42

jharlow-intel requested review from antonwolfy, ndgrigorian, vlad-perevezentsev and xaleryb as code owners October 23, 2026 20:42

antonwolfy added this to the 1.7.0 release milestone Oct 26, 2026

antonwolfy reviewed Oct 26, 2026

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Build and test conda-recipe-cf for Intel Python CI - #204

Build and test conda-recipe-cf for Intel Python CI#204
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	cancel-in-progress: true
	cancel-in-progress: ${{ github.event_name == 'pull_request' }}

		@@ -0,0 +1,135 @@
		# Intel Python CI (gh-ci) for mkl_random: builds the conda-forge recipe, conda-recipe-cf, for every

		numpy:
		- '2'

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jharlow-intel commented Oct 23, 2026 •

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