File size: 1,219 Bytes
da2f500 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | from geomretrieval import FrozenConfig, GeometricIndex, evaluate_run
def test_toy_build_and_search():
docs = [
"car automobile engine road vehicle",
"automobile vehicle insurance motor road",
"river bank flood erosion water",
"bank account credit loan interest",
"vitamin d respiratory infection clinical study",
"random unrelated astronomy galaxy star",
]
ids = [f"d{i}" for i in range(len(docs))]
# Small toy corpus cannot support the production widths; keep the same
# architecture while mechanically reducing vocabulary-dependent dimensions.
cfg = FrozenConfig(
max_features=100,
F=2,
B=8,
S=4,
L=4,
assoc_k=6,
route_k=4,
route_budget=6,
rerank_pool=5,
semantic_k=3,
output_k=5,
)
idx = GeometricIndex.build(docs, ids, cfg, verbose=False)
out = idx.search("automobile road insurance", k=3)
assert 1 <= len(out) <= 3
assert out[0] in {"d0", "d1"}
run = {"q1": out}
qrels = {"q1": {"d0": 1.0, "d1": 1.0}}
m = evaluate_run(run, qrels, ks=(1, 3), ndcg_k=3, mrr_k=3)
assert m["Hit@1"] == 1.0
assert m["MRR@3"] == 1.0
|