SWE-bench Verified Issue Validation

[
  {
    "id": "swebench-val-001",
    "text": "django__django-16527: QuerySet.only() doesn't work with select_related() on reverse OneToOneField relation.\n\nWhen using .only() with .select_related() on a reverse OneToOneField, Django generates a query that includes all fields instead of only the specified ones.\n\nSteps to reproduce:\n1. Create models with OneToOneField relationship\n2. Use queryset.select_related('reverse_relation').only('id', 'reverse_relation__name')\n3. Inspect the generated SQL\n\nExpected: SELECT only specified columns\nActual: SELECT includes all columns from both tables",
    "repo_name": "django/django",
    "test_patch": "diff --git a/tests/select_related_onetoone/tests.py b/tests/select_related_onetoone/tests.py\nindex 3a4e512f8a..b7c2d91e03 100644\n--- a/tests/select_related_onetoone/tests.py\n+++ b/tests/select_related_onetoone/tests.py\n@@ -187,6 +187,18 @@ class ReverseSelectRelatedTestCase(TestCase):\n+    def test_only_with_select_related_reverse_onetoone(self):\n+        with self.assertNumQueries(1):\n+            qs = UserProfile.objects.select_related('user').only(\n+                'id', 'user__username'\n+            )\n+            result = list(qs)\n+            self.assertEqual(len(result), 1)\n+            query_str = str(qs.query)\n+            self.assertNotIn('email', query_str)\n+            self.assertNotIn('first_name', query_str)",
    "gold_patch": "diff --git a/django/db/models/sql/compiler.py b/django/db/models/sql/compiler.py\nindex 8e4a37b2ec..f3c5d12a91 100644\n--- a/django/db/models/sql/compiler.py\n+++ b/django/db/models/sql/compiler.py\n@@ -1042,7 +1042,10 @@ class SQLCompiler:\n         if opts.proxy:\n             return self.deferred_to_columns_cb(opts.proxy_for_model._meta, start_alias)\n-        if start_alias:\n+        if start_alias and self.query.deferred_loading[0]:\n+            only_load = self.query.deferred_loading[0]\n+            fields = [f for f in opts.concrete_fields if f.attname in only_load]\n+            return {start_alias: {f.column for f in fields}}\n         columns = {start_alias: set()}\n         for f in opts.concrete_fields:\n             if f.column in columns[start_alias]:"
  },
  {
    "id": "swebench-val-002",
    "text": "scikit-learn__scikit-learn-25638: HistGradientBoostingClassifier does not accept dataframes with feature names containing special characters.\n\nWhen passing a pandas DataFrame with column names containing brackets or dots, fit() raises a ValueError.\n\nSteps to reproduce:\n```python\nimport pandas as pd\nfrom sklearn.ensemble import HistGradientBoostingClassifier\ndf = pd.DataFrame({'feature[0]': [1,2,3], 'target': [0,1,0]})\nclf = HistGradientBoostingClassifier()\nclf.fit(df[['feature[0]']], df['target'])\n```\nRaises: ValueError: Feature names must match pattern '^[a-zA-Z0-9_]+$'",
    "repo_name": "scikit-learn/scikit-learn",
    "test_patch": "diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py\nindex 4f2a891b2..e83c90d17 100644\n--- a/sklearn/tests/test_common.py\n+++ b/sklearn/tests/test_common.py\n@@ -421,6 +421,15 @@ def test_estimators_feature_names():\n+def test_feature_names_special_characters():\n+    pd = pytest.importorskip('pandas')\n+    X = pd.DataFrame({'col[0]': [1, 2, 3], 'col.1': [4, 5, 6]})\n+    y = [0, 1, 0]\n+    est = HistGradientBoostingClassifier(max_iter=1)\n+    est.fit(X, y)\n+    assert est.feature_names_in_[0] == 'col[0]'\n+    assert est.feature_names_in_[1] == 'col.1'",
    "gold_patch": "diff --git a/sklearn/utils/validation.py b/sklearn/utils/validation.py\nindex 72ef2a50c..a5b3f891d 100644\n--- a/sklearn/utils/validation.py\n+++ b/sklearn/utils/validation.py\n@@ -1843,8 +1843,7 @@ def _check_feature_names(X, *, reset, feature_names_out=None):\n     if hasattr(X, 'columns'):\n         feature_names = np.asarray(X.columns, dtype=object)\n-        pattern = re.compile(r'^[a-zA-Z0-9_]+$')\n-        invalid = [name for name in feature_names if not pattern.match(name)]\n-        if invalid:\n-            raise ValueError(f'Feature names must match...')\n+        # Accept any string feature names - special characters are valid\n+        pass"
  }
]

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