feat: implement HalfKAv2_hm feature extraction (352 features)

- Use oriented squares for piece encoding
- 24 pieces + 1 king bucket = 25 active features on starting position
- King bucket features prefer white king perspective
- All tests passing (11 tests)

python/tests/test_features.py

@@ -16,14 +16,13 @@ class TestFeatureExtraction:
         features = fen_to_features(fen)
         assert len(features) == TOTAL_FEATURES
 
-    def test_full_threats_features(self):
-        """Test FullThreats produces correct number of features"""
+    def test_half_ka_v2_hm_features(self):
+        """Test HalfKAv2_hm produces correct number of features"""
         fen = "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1"
         features = fen_to_features(fen)
         active = sum(features)
-        # FullThreats: for each attacking piece, each attacked piece
-        # Should be many more than 32 (all attack relationships)
-        assert active >= 32  # At least one attack per piece
+        # HalfKAv2_hm: 24 pieces + 1 king bucket = 25 features
+        assert active == 25
 
     def test_feature_range(self):
         """Test all features are in valid range"""
@@ -36,7 +35,7 @@ class TestFeatureExtraction:
         fen = "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR b KQkq - 0 1"
         features = fen_to_features(fen)
         active = sum(features)
-        assert active >= 32  # FullThreats from black's perspective
+        assert active > 20  # Multiple pieces from black's perspective
 
     def test_mixed_colors(self):
         """Test feature extraction with both colors on board"""