ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

tests/test_ch7_bradley_terry_single_model.py

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+import pytest
+pytest.importorskip("pandas")
+
+import sys
+from pathlib import Path
+import pandas as pd
+
+HERE = Path(__file__).resolve().parent.parent
+ELO_DIR = HERE / "chapter7" / "elo-leaderboard"
+if str(ELO_DIR) not in sys.path:
+    sys.path.insert(0, str(ELO_DIR))
+
+from bradley_terry import compute_mle_elo  # noqa: E402
+
+
+def test_compute_mle_elo_single_model():
+    df = pd.DataFrame([
+        {"model_a": "gpt-4", "model_b": "gpt-4", "winner": "model_a"}
+    ])
+    res = compute_mle_elo(df)
+    assert isinstance(res, pd.Series)
+    assert len(res) == 1
+    assert "gpt-4" in res.index
+    assert res["gpt-4"] == 1000.0
+
+
+def test_compute_mle_elo_single_model_custom_init_rating():
+    df = pd.DataFrame([
+        {"model_a": "claude-3", "model_b": "claude-3", "winner": "model_b"}
+    ])
+    res = compute_mle_elo(df, INIT_RATING=1500)
+    assert isinstance(res, pd.Series)
+    assert len(res) == 1
+    assert "claude-3" in res.index
+    assert res["claude-3"] == 1500.0
+
+
+def test_compute_mle_elo_zero_unique_models():
+    df = pd.DataFrame([], columns=["model_a", "model_b", "winner"])
+    res = compute_mle_elo(df)
+    assert isinstance(res, pd.Series)
+    assert len(res) == 0
+
+
+def test_compute_mle_elo_nan_model_names_multimodel():
+    df = pd.DataFrame([
+        {"model_a": "gpt-4", "model_b": "claude-3", "winner": "model_a"},
+        {"model_a": None, "model_b": "claude-3", "winner": "model_b"},
+        {"model_a": "gpt-4", "model_b": float("nan"), "winner": "model_a"},
+    ])
+    res = compute_mle_elo(df)
+    assert isinstance(res, pd.Series)
+    assert len(res) == 2
+    assert "gpt-4" in res.index
+    assert "claude-3" in res.index