Scikit check

s/scikit-learn/build_info.json

@@ -1,11 +1,11 @@
 {
-   "maintainer": "SakshiJain0302",
+   "maintainer": "Varsha Kumar",
    "package_name": "scikit-learn",
    "github_url": "https://github.com/scikit-learn/scikit-learn.git",
-   "version": "1.6.1",
+   "version": "1.9.0",
    "wheel_build" : true,
    "default_branch": "main",
-   "build_script": "scikit-learn_ubi_9.3.sh",
+   "build_script": "scikit-learn_1.9.0_ubi_10.1.sh",
    "package_dir": "s/scikit-learn",
    "docker_build": false,
    "validate_build_script": true,
@@ -22,10 +22,13 @@
    "1.3.0":{
      "build_script": "scikit-learn_1.1.1_ubi_9.3.sh"
    },
-   "1.7.*":{
+   "1.7.0":{
      "build_script": "scikit-learn_1.7.0_ubi_9.3.sh"
    },
+   "1.9.0":{
+     "build_script": "scikit-learn_1.9.0_ubi_10.1.sh"
+   },
    "*": {
-     "build_script": "scikit-learn_ubi_9.3.sh"
+     "build_script": "scikit-learn_1.9.0_ubi_10.1.sh"
   }
 }

s/scikit-learn/scikit-learn_1.9.0_ubi_10.1.sh

@@ -0,0 +1,136 @@
+#!/bin/bash -e
+# -----------------------------------------------------------------------------
+#
+# Package       : scikit-learn
+# Version       : 1.9.0
+# Source repo   : https://github.com/scikit-learn/scikit-learn.git
+# Tested on     : UBI 10.1
+# Language      : Python, Cython, C++
+# Ci-Check      : True
+# Script License: Apache License 2.0
+# Maintainer    : Varsha Kumar <varsha.kumar@ibm.com>
+#
+# Disclaimer: This script has been tested in root mode on given
+# ==========  platform using the mentioned version of the package.
+#             It may not work as expected with newer versions of the
+#             package and/or distribution. In such case, please
+#             contact "Maintainer" of this script.
+#
+# -----------------------------------------------------------------------------
+
+# Variables
+PACKAGE_DIR="scikit-learn"
+PACKAGE_NAME="scikit_learn"
+PACKAGE_VERSION=${1:-1.9.0}
+PACKAGE_URL="https://github.com/scikit-learn/scikit-learn.git"
+SOURCE_ROOT="$(pwd)"
+
+echo "Building ${PACKAGE_NAME} ${PACKAGE_VERSION}"
+
+# Install system dependencies
+dnf install -y gcc-toolset-15 gcc-toolset-15-gcc-c++ gcc-toolset-15-gcc-gfortran \
+    git python3.12 python3.12-devel python3.12-pip pkg-config \
+    openblas-devel
+
+export PATH="/opt/rh/gcc-toolset-15/root/usr/bin:$PATH"
+
+# Verify GCC version (scikit-learn requires >= 8.0)
+gcc --version
+
+# Install build dependencies
+# pythran is required by scipy>=1.17 at build time
+python3.12 -m pip install \
+    "meson-python>=0.17.1,<0.20.0" \
+    "meson>=1.9.0" \
+    "ninja" \
+    "cython>=3.1.2,<3.3.0" \
+    "numpy>=2,<2.5.0" \
+    "pythran" \
+    "pybind11>=2.13.2" \
+    "wheel"
+
+# Build and install scipy separately so the pythran dep is satisfied
+python3.12 -m pip install --no-build-isolation "scipy>=1.10.0,<1.18.0"
+
+# Clone and checkout
+rm -rf "$PACKAGE_DIR"
+git clone "$PACKAGE_URL"
+cd "${PACKAGE_DIR}"
+git checkout "${PACKAGE_VERSION}"
+
+# Build wheel using pip with no-build-isolation
+# (meson-python builds require access to already-installed build deps)
+python3.12 -m pip wheel . \
+    --no-build-isolation \
+    --wheel-dir "${SOURCE_ROOT}/dist/"
+
+WHEEL=$(find "${SOURCE_ROOT}/dist" -name "${PACKAGE_NAME}-*.whl" | head -1)
+if [ -z "$WHEEL" ]; then
+    echo "ERROR: wheel not found after build"
+    exit 1
+fi
+echo "Wheel: $WHEEL"
+
+# Copy wheel to /home/tester/ to avoid rebuild by wrapper script
+mkdir -p /home/tester
+cp "$WHEEL" /home/tester/
+
+cd "${SOURCE_ROOT}"
+
+# Install runtime dependencies and wheel
+echo "=== Installing Wheel ==="
+python3.12 -m pip install \
+    "joblib>=1.4.0" \
+    "narwhals>=2.0.1" \
+    "threadpoolctl>=3.5.0"
+python3.12 -m pip install "$WHEEL"
+
+# Test
+echo "=== Running Tests ==="
+
+# 1. Version check
+python3.12 -c "import importlib.metadata; print('version:', importlib.metadata.version('scikit-learn'))"
+
+# 2. Basic smoke test
+python3.12 - <<'EOF'
+import sklearn
+print("sklearn version:", sklearn.__version__)
+assert sklearn.__version__ == "1.9.0", f"Unexpected version: {sklearn.__version__}"
+
+from sklearn.datasets import load_iris
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.model_selection import train_test_split
+from sklearn.metrics import accuracy_score
+
+X, y = load_iris(return_X_y=True)
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+clf = RandomForestClassifier(n_estimators=10, random_state=42)
+clf.fit(X_train, y_train)
+preds = clf.predict(X_test)
+acc = accuracy_score(y_test, preds)
+assert acc > 0.9, f"Accuracy too low: {acc}"
+print(f"RandomForest smoke test: OK (accuracy={acc:.2f})")
+
+from sklearn.linear_model import LogisticRegression
+from sklearn.pipeline import Pipeline
+from sklearn.preprocessing import StandardScaler
+
+pipe = Pipeline([("scaler", StandardScaler()), ("lr", LogisticRegression(max_iter=200))])
+pipe.fit(X_train, y_train)
+pipe_acc = accuracy_score(y_test, pipe.predict(X_test))
+assert pipe_acc > 0.9, f"Pipeline accuracy too low: {pipe_acc}"
+print(f"Pipeline smoke test: OK (accuracy={pipe_acc:.2f})")
+EOF
+
+# 3. Run upstream test suite (core module only to keep CI time reasonable)
+echo "=== Running Upstream Tests ==="
+python3.12 -m pip install pytest
+
+# Resolve the installed sklearn path so pytest uses the compiled wheel,
+# not the unbuilt source clone (which lacks the _check_build compiled extension).
+SKLEARN_PATH=$(python3.12 -c "import sklearn; import os; print(os.path.dirname(sklearn.__file__))")
+python3.12 -m pytest "${SKLEARN_PATH}/tests/test_common.py" -x -q --no-header
+
+echo -e "\n=== Build Complete ==="
+echo "Wheel: $WHEEL"