feat: Add comprehensive tests for contentPattern and glob pattern matching

- Implemented final verification tests for contentPattern to validate behavior with empty strings, dangerous patterns, and normal patterns.
- Created glob pattern matching tests to verify regex conversion and matching functionality.
- Developed infinite loop risk tests using Worker threads to isolate potential blocking operations.
- Introduced optimized contentPattern tests to validate improvements in the findMatches function.
- Added verification tests to assess the effectiveness of contentPattern optimizations.
- Conducted safety tests for contentPattern to identify edge cases and potential vulnerabilities.
- Implemented unrestricted loop tests to analyze infinite loop risks without match limits.
- Developed tests for zero-width pattern detection logic to ensure proper handling of dangerous regex patterns.

codex-lens/tests/test_clustering_strategies.py

@@ -231,6 +231,26 @@ class TestHDBSCANStrategy:
 
         assert all_indices == set(range(len(sample_results)))
 
+    def test_cluster_supports_cosine_metric(
+        self, sample_results: List[SearchResult], mock_embeddings
+    ):
+        """Test HDBSCANStrategy can run with metric='cosine' (via precomputed distances)."""
+        try:
+            from codexlens.search.clustering import HDBSCANStrategy
+        except ImportError:
+            pytest.skip("hdbscan not installed")
+
+        config = ClusteringConfig(min_cluster_size=2, min_samples=1, metric="cosine")
+        strategy = HDBSCANStrategy(config)
+
+        clusters = strategy.cluster(mock_embeddings, sample_results)
+
+        all_indices = set()
+        for cluster in clusters:
+            all_indices.update(cluster)
+
+        assert all_indices == set(range(len(sample_results)))
+
     def test_cluster_empty_results(self, hdbscan_strategy):
         """Test cluster() with empty results."""
         import numpy as np