Convert all Japanese text to English

Converted all Japanese docstrings and comments to English across
25 test files to ensure repository contains ONLY English text.

Changes:
- All test docstrings converted from Japanese to English
- All comments converted from Japanese to English
- Maintained exact technical meaning and accuracy
- Code structure and formatting preserved

Common translations:
- ～を確認 → Verify that...
- ～が機能することを確認 → Verify that... works
- ～がエラーになることを確認 → Verify that... raises an error
- ～の動作確認 → Verify behavior of...

Files converted (25 total):
- Integration tests: 5 files
- Unit tests: 17 files
- E2E tests: 3 files

Verification:
- No Japanese text remains in repository (excluding third-party code)
- All 950 tests pass
- Technical accuracy maintained

Author: claude

tests/e2e/test_readme_examples.py

@@ -9,7 +9,7 @@
 
 
 def test_basic_example():
-    """READMEの基本例をテスト."""
+    """Test README basic example.."""
     idxes = np.array([1, 2])
 
     # rects is a list of (xmin, ymin, xmax, ymax)
@@ -48,7 +48,7 @@ def test_basic_example():
 
 
 def test_object_example():
-    """READMEのオブジェクト例をテスト."""
+    """Test README object example.."""
     objs = [{"name": "foo"}, (1, 2, 3)]  # must NOT be unique but pickable
     rects = np.array([[0.0, 0.0, 1.0, 0.5], [1.0, 1.5, 1.2, 3.0]])
 
@@ -66,7 +66,7 @@ def test_object_example():
 
 
 def test_batch_vs_single_query_example():
-    """READMEのバッチクエリ vs 単一クエリの例をテスト."""
+    """Test README batch query vs single query example.."""
     idxes = np.array([1, 2])
     rects = np.array([[0.0, 0.0, 1.0, 0.5], [1.0, 1.5, 1.2, 3.0]])
     prtree = PRTree2D(idxes, rects)
@@ -83,7 +83,7 @@ def test_batch_vs_single_query_example():
 
 
 def test_insert_erase_example():
-    """READMEの挿入・削除例をテスト."""
+    """Test README insert/erase example.."""
     idxes = np.array([1, 2])
     rects = np.array([[0.0, 0.0, 1.0, 0.5], [1.0, 1.5, 1.2, 3.0]])
     prtree = PRTree2D(idxes, rects)
@@ -101,7 +101,7 @@ def test_insert_erase_example():
 
 
 def test_save_load_example(tmp_path):
-    """READMEの保存・読込例をテスト."""
+    """Test README save/load example.."""
     idxes = np.array([1, 2])
     rects = np.array([[0.0, 0.0, 1.0, 0.5], [1.0, 1.5, 1.2, 3.0]])
     prtree = PRTree2D(idxes, rects)

tests/e2e/test_user_workflows.py

@@ -8,7 +8,7 @@
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_spatial_indexing_workflow(PRTree, dim):
-    """ユーザーワークフロー: 空間インデックスの構築とクエリ."""
+    """User workflow: spatial indexing and queries."""
     # Simulate a spatial database of objects
     n_objects = 1000
     np.random.seed(42)
@@ -37,7 +37,7 @@ def has_intersect(x, y, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_dynamic_updates_workflow(PRTree, dim):
-    """ユーザーワークフロー: 動的な更新（挿入・削除）."""
+    """User workflow: dynamic updates (insert/erase)."""
     # Start with empty tree
     tree = PRTree()
 
@@ -86,7 +86,7 @@ def test_dynamic_updates_workflow(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_persistence_workflow(PRTree, dim, tmp_path):
-    """ユーザーワークフロー: データの永続化."""
+    """User workflow: data persistence."""
     # Build initial tree
     n = 500
     idx = np.arange(n)
@@ -118,7 +118,7 @@ def test_persistence_workflow(PRTree, dim, tmp_path):
 
 
 def test_collision_detection_workflow_2d():
-    """ユーザーワークフロー: 2D衝突検出（ゲーム・シミュレーション）."""
+    """User workflow: 2D collision detection (game simulation)."""
     # Simulate game entities
     entities = {
         "player": [10, 10, 12, 12],
@@ -151,7 +151,7 @@ def test_collision_detection_workflow_2d():
 
 
 def test_object_storage_workflow_2d():
-    """ユーザーワークフロー: オブジェクト付きの空間インデックス."""
+    """User workflow: spatial index with objects."""
     # Store rich objects with spatial index
     objects = [
         {"id": 1, "type": "building", "name": "City Hall", "box": [0, 0, 10, 10]},
@@ -179,7 +179,7 @@ def test_object_storage_workflow_2d():
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3)])
 def test_batch_processing_workflow(PRTree, dim):
-    """ユーザーワークフロー: バッチ処理（大量クエリ）."""
+    """User workflow: batch processing (bulk queries)."""
     # Build index
     n = 1000
     idx = np.arange(n)
@@ -205,7 +205,7 @@ def test_batch_processing_workflow(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_intersection_detection_workflow(PRTree, dim):
-    """ユーザーワークフロー: 全ペアの交差検出."""
+    """User workflow: all-pairs intersection detection."""
     # Simulate checking for overlapping regions
     n = 100
     idx = np.arange(n)
@@ -226,7 +226,7 @@ def test_intersection_detection_workflow(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_rebuild_optimization_workflow(PRTree, dim):
-    """ユーザーワークフロー: 多数の更新後の最適化."""
+    """User workflow: optimization after many updates."""
     # Initial index
     n = 500
     idx = np.arange(n)

tests/integration/test_erase_query_workflow.py

@@ -7,7 +7,7 @@
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_erase_and_query_incrementally(PRTree, dim):
-    """インクリメンタルに削除しながらクエリする統合テスト."""
+    """Integration test: incremental erase with queries."""
     np.random.seed(42)
     n = 100
     idx = np.arange(n)
@@ -29,7 +29,7 @@ def test_erase_and_query_incrementally(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_insert_erase_insert_workflow(PRTree, dim):
-    """挿入→削除→挿入のワークフローテスト."""
+    """Test insert → erase → insert workflow."""
     tree = PRTree()
 
     # Insert
@@ -57,7 +57,7 @@ def test_insert_erase_insert_workflow(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_bulk_erase_and_verify(PRTree, dim):
-    """大量削除後の検証テスト."""
+    """Test verification after bulk erase."""
     np.random.seed(42)
     n = 200
     idx = np.arange(n)

tests/integration/test_insert_query_workflow.py

@@ -7,7 +7,7 @@
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_incremental_insert_and_query(PRTree, dim):
-    """インクリメンタルに挿入しながらクエリする統合テスト."""
+    """Integration test: incremental insert with queries."""
     tree = PRTree()
 
     n = 100
@@ -34,7 +34,7 @@ def test_incremental_insert_and_query(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_insert_with_objects_and_query(PRTree, dim):
-    """オブジェクト付き挿入とクエリの統合テスト."""
+    """Integration test: insert with objects and query."""
     tree = PRTree()
 
     n = 50
@@ -64,7 +64,7 @@ def test_insert_with_objects_and_query(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_mixed_bulk_and_incremental_insert(PRTree, dim):
-    """一括挿入とインクリメンタル挿入の混合テスト."""
+    """Test mixed bulk and incremental insert."""
     np.random.seed(42)
     n_bulk = 50
     n_incremental = 50

tests/integration/test_mixed_operations.py

@@ -8,7 +8,7 @@
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_complex_workflow(PRTree, dim, tmp_path):
-    """複雑なワークフロー: 構築→挿入→削除→rebuild→保存→読込→クエリ."""
+    """Complex workflow: build→insert→erase→rebuild→save→load→query."""
     np.random.seed(42)
     n = 100
     idx = np.arange(n)
@@ -62,7 +62,7 @@ def test_complex_workflow(PRTree, dim, tmp_path):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_stress_operations(PRTree, dim):
-    """ストレステスト: 大量の挿入・削除・クエリ操作."""
+    """Stress test: massive insert, erase, and query operations."""
     tree = PRTree()
 
     # Insert 1000 elements
@@ -99,7 +99,7 @@ def test_stress_operations(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_query_intersections_after_modifications(PRTree, dim):
-    """変更後のquery_intersectionsテスト."""
+    """Test query_intersections after modifications."""
     np.random.seed(42)
     n = 50
     idx = np.arange(n)

tests/integration/test_persistence_query_workflow.py

@@ -8,7 +8,7 @@
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_save_load_query_workflow(PRTree, dim, tmp_path):
-    """保存→読込→クエリのワークフローテスト."""
+    """Test save → load → query workflow."""
     np.random.seed(42)
     n = 100
     idx = np.arange(n)
@@ -39,7 +39,7 @@ def test_save_load_query_workflow(PRTree, dim, tmp_path):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_modify_save_load_workflow(PRTree, dim, tmp_path):
-    """構築→変更→保存→読込のワークフローテスト."""
+    """Test build → modify → save → load workflow."""
     np.random.seed(42)
     n = 50
     idx = np.arange(n)
@@ -72,7 +72,7 @@ def test_modify_save_load_workflow(PRTree, dim, tmp_path):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_multiple_save_load_cycles(PRTree, dim, tmp_path):
-    """複数の保存→読込サイクルのテスト."""
+    """Test multiple save → load cycles."""
     np.random.seed(42)
     n = 50
     idx = np.arange(n)

tests/integration/test_rebuild_query_workflow.py

@@ -7,7 +7,7 @@
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_rebuild_after_many_operations(PRTree, dim):
-    """多数の操作後のrebuildとクエリのテスト."""
+    """Test rebuild and query after many operations."""
     np.random.seed(42)
     n = 100
     idx = np.arange(n)
@@ -42,7 +42,7 @@ def test_rebuild_after_many_operations(PRTree, dim):
 
 @pytest.mark.parametrize("PRTree, dim", [(PRTree2D, 2), (PRTree3D, 3), (PRTree4D, 4)])
 def test_rebuild_consistency_across_operations(PRTree, dim):
-    """rebuild前後の一貫性テスト."""
+    """Test consistency before and after rebuild."""
     np.random.seed(42)
     n = 100
     idx = np.arange(n)