Add patch for scikit-learn 1.2.2

Author: msimacek

graalpython/lib-graalpython/patches/scikit-learn/metadata.toml

@@ -1,5 +1,9 @@
 [[rules]]
-# pin to 1.1.3
-install-priority = 10
+version = '== 1.2.2'
+patch = 'scikit-learn-1.2.2.patch'
+dist-type = 'sdist'
+
+[[rules]]
 version = '== 1.1.3'
 patch = 'scikit-learn-1.1.3.patch'
+dist-type = 'sdist'

graalpython/lib-graalpython/patches/scikit-learn/scikit-learn-1.2.2.patch

@@ -0,0 +1,44 @@
+diff --git a/pyproject.toml b/pyproject.toml
+index f7f067e..2025d66 100644
+--- a/pyproject.toml
++++ b/pyproject.toml
+@@ -3,7 +3,7 @@
+ requires = [
+     "setuptools",
+     "wheel",
+-    "Cython>=0.29.24",
++    "Cython>=0.29.24,<3",
+ 
+     # use oldest-supported-numpy which provides the oldest numpy version with
+     # wheels on PyPI
+diff --git a/sklearn/_build_utils/__init__.py b/sklearn/_build_utils/__init__.py
+index 755171e..1c14884 100644
+--- a/sklearn/_build_utils/__init__.py
++++ b/sklearn/_build_utils/__init__.py
+@@ -61,10 +61,10 @@ def cythonize_extensions(extension):
+     sklearn._OPENMP_SUPPORTED = check_openmp_support()
+ 
+     n_jobs = 1
+-    with contextlib.suppress(ImportError):
+-        import joblib
++    # with contextlib.suppress(ImportError):
++    #     import joblib
+ 
+-        n_jobs = joblib.cpu_count()
++    #     n_jobs = joblib.cpu_count()
+ 
+     # Additional checks for Cython
+     cython_enable_debug_directives = (
+diff --git a/sklearn/datasets/_svmlight_format_fast.pyx b/sklearn/datasets/_svmlight_format_fast.pyx
+index b578584..fc66532 100644
+--- a/sklearn/datasets/_svmlight_format_fast.pyx
++++ b/sklearn/datasets/_svmlight_format_fast.pyx
+@@ -80,7 +80,7 @@ def _load_svmlight_file(f, dtype, bint multilabel, bint zero_based,
+         if n_features and features[0].startswith(qid_prefix):
+             _, value = features[0].split(COLON, 1)
+             if query_id:
+-                query.resize(len(query) + 1)
++                query.resize(len(query) + 1, refcheck=False)
+                 query[len(query) - 1] = np.int64(value)
+             features.pop(0)
+             n_features -= 1