[WIP] Integrate testing to the Python wheels workflow

.github/workflows/cibuildwheel-impl/action.yml

@@ -8,10 +8,22 @@ inputs:
 runs:
   using: "composite"
   steps:
+    - name: Install system dependencies
+      shell: bash
+      run: |
+        sudo apt-get update
+        sudo apt-get install -y \
+          binutils cmake dpkg-dev g++ gcc libssl-dev git libx11-dev \
+          libxext-dev libxft-dev libxpm-dev python3 libtbb-dev libvdt-dev libgif-dev
+
     - name: Build wheel
       uses: pypa/[email protected]
       env:
+        PIP_NO_CACHE_DIR: "1"
         CIBW_BUILD: ${{ inputs.build-tag }}
+        CIBW_TEST_REQUIRES: "-r test_tutorials/requirements.txt"
+        CIBW_TEST_SOURCES: "test_tutorials"
+        CIBW_TEST_COMMAND: "pytest -v"
 
     - name: Upload wheel
       uses: actions/upload-artifact@v4

.github/workflows/python_wheel_build.yml

@@ -11,7 +11,7 @@ on:
   schedule:
     - cron: '01 1 * * *'
   pull_request:
-    types: [labeled]
+    types: [opened, synchronize, reopened, labeled]
 
 jobs:
   build-wheels:
@@ -21,6 +21,7 @@ jobs:
       contains(github.event.pull_request.labels.*.name, 'build-python-wheels')
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
         target: [cp38-manylinux_x86_64, cp39-manylinux_x86_64, cp310-manylinux_x86_64, cp311-manylinux_x86_64, cp312-manylinux_x86_64, cp313-manylinux_x86_64]
     name: ${{ matrix.target }}

test_tutorials/requirements.txt

@@ -0,0 +1,47 @@
+# ROOT requirements for third-party Python packages
+
+# PyROOT: Interoperability with numpy arrays
+numpy
+pandas
+
+# TMVA: SOFIE
+# dm-sonnet # used for GNNs
+# graph_nets
+# onnx
+
+# TMVA: PyMVA interfaces
+# scikit-learn
+# tensorflow ; python_version < "3.13" # TensorFlow doesn't support Python 3.13 yet
+# torch
+# xgboost
+
+# PyROOT: ROOT.Numba.Declare decorator
+numba>=0.48
+cffi>=1.9.1
+
+# Notebooks: ROOT C++ kernel
+# IPython
+# jupyter
+# metakernel>=0.20.0
+# notebook>=4.4.1
+
+# Distributed RDataFrame
+pyspark>=2.4 # Spark backend
+dask>=2022.08.1 # Dask backend
+distributed>=2022.08.1 # Dask backend
+
+# JsMVA: Jupyter notebook magic for TMVA
+# ipywidgets
+
+# Unified Histogram Interface (UHI)
+uhi
+matplotlib
+mplhep
+
+# For testing
+# nbconvert>=7.4.0
+pytest
+# setuptools
+
+# Look for CPU-only versions of PyTorch to avoid pulling CUDA in the CI docker images.
+# -f https://download.pytorch.org/whl/cpu/torch_stable.html

test_tutorials/test_tutorials.py

@@ -0,0 +1,34 @@
+import subprocess
+import sys
+import pathlib
+import ROOT
+import os
+import pytest
+
+ROOT.gROOT.SetBatch(True)
+
+tutorial_dir = pathlib.Path(str(ROOT.gROOT.GetTutorialDir()))
+tutorials = list(tutorial_dir.rglob("*.py"))
+
+
+def test_tutorials_are_detected():
+    assert len(tutorials) > 0
+
+@pytest.mark.parametrize("tutorial", tutorials, ids=lambda p: p.name)
+def test_tutorial(tutorial):
+    env = dict(**os.environ)
+    # force matplotlib to use a non-GUI backend
+    env["MPLBACKEND"] = "Agg"
+    try:
+        subprocess.run(
+            [sys.executable, str(tutorial)],
+            check=True,
+            env=env,
+            capture_output=True,
+            text=True
+        )
+    except subprocess.CalledProcessError as e:
+        # read stderr to see if EOFError occurred
+        if "EOFError" in e.stderr:
+            pytest.skip("Skipping tutorial that requires user input")
+        raise