feat(v2): T12+T13 实验脚本 bench_tokens 与 E1 token 经济学跑数

tests/test_bench_tokens.py

@@ -0,0 +1,37 @@
+"""T12 bench_tokens 实验脚本单测（封闭，本地确定性）。"""
+import json
+
+from scripts import bench_tokens as bt
+
+
+def test_build_workspace_has_brief_and_progress():
+    ws = bt.build_workspace("写个快排", "code", n_steps=3, n_rounds=2)
+    b = ws.get("brief")
+    assert b["goal"] == "写个快排"
+    assert len(b["plan"]) == 3
+    done = [p for p in ws.get("progress", []) if p.get("status") == "done"]
+    assert len(done) >= 1
+
+
+def test_measure_returns_all_keys():
+    ws = bt.build_workspace("解释注意力机制", "general", n_steps=3)
+    m = bt.measure(ws, n_steps=3)
+    for k in ("a1", "a2", "a3", "a4", "prefix_hit"):
+        assert k in m
+    assert m["a1"] > 0 and m["a2"] > 0
+
+
+def test_a1_baseline_larger_than_a2_ws():
+    ws = bt.build_workspace("写个二分查找", "code", n_steps=3, n_rounds=2)
+    m = bt.measure(ws, n_steps=3)
+    assert m["a1"] > m["a2"]
+
+
+def test_run_writes_files(tmp_path):
+    data = tmp_path / "d.json"
+    data.write_text(json.dumps([{"id": "x1", "query": "写个快排", "domain": "code"}]),
+                    encoding="utf-8")
+    out = tmp_path / "exp"
+    bt.run(str(data), str(out), n_steps=2)
+    assert (out / "E1_token_economics.csv").exists()
+    assert (out / "E1_token_economics.md").exists()