ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
Build latest book artifacts / build (push) Canceled after 0s
dependency resolution / resolve (3.11) (push) Canceled after 0s
dependency resolution / resolve (3.13) (push) Canceled after 0s
deploy-pages / build (push) Canceled after 0s
deploy-pages / deploy (push) Canceled after 0s
i18n consistency check / check (push) Canceled after 0s
provider adoption tests / test (chapter2/context-compression) (push) Canceled after 0s
provider adoption tests / test (chapter2/prompt-injection) (push) Canceled after 0s
provider adoption tests / test (chapter2/system-hint) (push) Canceled after 0s
provider adoption tests / test (chapter3/log-sanitization) (push) Canceled after 0s
web-search-agent tests / test (push) Canceled after 0s
web-search-agent tests / agentbook (push) Canceled after 0s
Build latest book artifacts / build (push) Canceled after 0s
dependency resolution / resolve (3.11) (push) Canceled after 0s
dependency resolution / resolve (3.13) (push) Canceled after 0s
deploy-pages / build (push) Canceled after 0s
deploy-pages / deploy (push) Canceled after 0s
i18n consistency check / check (push) Canceled after 0s
provider adoption tests / test (chapter2/context-compression) (push) Canceled after 0s
provider adoption tests / test (chapter2/prompt-injection) (push) Canceled after 0s
provider adoption tests / test (chapter2/system-hint) (push) Canceled after 0s
provider adoption tests / test (chapter3/log-sanitization) (push) Canceled after 0s
web-search-agent tests / test (push) Canceled after 0s
web-search-agent tests / agentbook (push) Canceled after 0s
This commit is contained in:
@@ -0,0 +1,32 @@
|
||||
"""Empty battle DataFrame must not crash Bradley-Terry LogisticRegression."""
|
||||
import pandas as pd
|
||||
|
||||
from bradley_terry import compute_bradley_terry_leaderboard, compute_mle_elo
|
||||
|
||||
|
||||
def test_compute_mle_elo_empty_battles():
|
||||
df = pd.DataFrame(columns=["model_a", "model_b", "winner"])
|
||||
ratings = compute_mle_elo(df)
|
||||
assert isinstance(ratings, pd.Series)
|
||||
assert len(ratings) == 0
|
||||
|
||||
|
||||
def test_compute_bradley_terry_leaderboard_empty():
|
||||
df = pd.DataFrame(columns=["model_a", "model_b", "winner"])
|
||||
board = compute_bradley_terry_leaderboard(df)
|
||||
assert isinstance(board, pd.DataFrame)
|
||||
assert len(board) == 0
|
||||
|
||||
|
||||
def test_nonempty_still_rates():
|
||||
df = pd.DataFrame(
|
||||
[
|
||||
{"model_a": "A", "model_b": "B", "winner": "model_a"},
|
||||
{"model_a": "A", "model_b": "B", "winner": "model_a"},
|
||||
{"model_a": "B", "model_b": "C", "winner": "model_b"},
|
||||
{"model_a": "A", "model_b": "C", "winner": "model_a"},
|
||||
]
|
||||
)
|
||||
ratings = compute_mle_elo(df)
|
||||
assert set(ratings.index) >= {"A", "B", "C"}
|
||||
assert ratings["A"] > ratings["C"]
|
||||
Reference in New Issue
Block a user