SPipe 데모 v2 (2026-10-30) 서버 배포본

- SPipe_server_2026-10-30.zip 내용을 풀어서 등록 (압축 파일은 올리지 않음)
- README에 데모 v2 서버 업데이트 순서 추가, 저장소에 없는 문서 목차 정리
- 패치내역을 docs/로 이동, _worklog.md 추가
- 임시 파일(backend/temp.*)과 API 키가 든 파일은 제외

backend/blocksys/tests/test_partition.py

@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+import networkx as nx
+import pytest
+
+from blocksys.partition import partition
+
+K_VALUES = [4, 6, 8]
+
+
+@pytest.mark.parametrize("k", K_VALUES)
+def test_node_preservation(weighted_graph, cfg, k):
+    labels = partition(weighted_graph, k, cfg)
+    assert set(labels.keys()) == set(weighted_graph.nodes)
+
+
+@pytest.mark.parametrize("k", K_VALUES)
+def test_block_connectivity(weighted_graph, cfg, k):
+    labels = partition(weighted_graph, k, cfg)
+    blocks: dict[int, list] = {}
+    for n, label in labels.items():
+        blocks.setdefault(label, []).append(n)
+
+    for label, nodes in blocks.items():
+        sub = weighted_graph.subgraph(nodes)
+        assert nx.is_connected(sub), f"block {label} is not a single connected component"
+
+
+def test_reproducibility(weighted_graph, cfg):
+    labels1 = partition(weighted_graph, 6, cfg)
+    labels2 = partition(weighted_graph, 6, cfg)
+    assert labels1 == labels2
+
+
+def test_k_too_large_raises(weighted_graph, cfg):
+    with pytest.raises(ValueError):
+        partition(weighted_graph, weighted_graph.number_of_nodes() + 1, cfg)
+
+
+def test_louvain_method(weighted_graph, cfg):
+    cfg.partition.method = "louvain"
+    try:
+        labels = partition(weighted_graph, 6, cfg)
+        assert set(labels.keys()) == set(weighted_graph.nodes)
+    finally:
+        cfg.partition.method = "spectral"