File size: 2,911 Bytes
d37698e | 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 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | """Unit tests for localization construction and scoring (no API deps)."""
from __future__ import annotations
from localization.construct import (
label_specs_from_segments,
localization_prompt,
multiplicity_phrase,
)
from localization.schema import GoldSegment, PredictedInterval, PredictionResult
from localization.score import optimal_group_assignment, score_episode
def _segments(labels: list[str]) -> list[GoldSegment]:
return [
GoldSegment(float(index), float(index + 1), label)
for index, label in enumerate(labels)
]
def test_multiplicity_phrasing_handles_singletons_and_duplicates():
gold = _segments(["pick", "place", "pick"])
specs = sorted(
label_specs_from_segments("homer_1", gold, seed=0),
key=lambda spec: spec.label,
)
assert [multiplicity_phrase(spec) for spec in specs] == [
'"pick" (occurs 2 times)',
'"place"',
]
prompt = localization_prompt("stack the blocks", specs)
assert '"pick" (occurs 2 times)' in prompt
assert '- "place"\n' in prompt
assert "occurs 1" not in prompt
def test_label_shuffle_is_deterministic_under_seed():
gold = _segments(["a", "b", "c", "d"])
first = [spec.label for spec in label_specs_from_segments("homer_1", gold, seed=3)]
second = [spec.label for spec in label_specs_from_segments("homer_1", gold, seed=3)]
alternatives = {
tuple(spec.label for spec in label_specs_from_segments("homer_1", gold, seed=seed))
for seed in range(10)
}
assert first == second
assert len(alternatives) > 1
def test_optimal_group_assignment_ties_are_deterministic():
golds = [
GoldSegment(0.0, 2.0, "repeat"),
GoldSegment(2.0, 4.0, "repeat"),
]
preds = [
PredictedInterval(label_echo="repeat", start_sec=1.0, end_sec=3.0),
PredictedInterval(label_echo="repeat", start_sec=1.0, end_sec=3.0),
]
assert optimal_group_assignment(golds, preds) == {0: 0, 1: 1}
def test_score_episode_exact_match_is_perfect():
gold = _segments(["pick", "place"])
specs = label_specs_from_segments("ep", gold, seed=0)
prediction = PredictionResult(
labels=[
{
"label": "pick",
"intervals": [
{"label_echo": "pick", "start_sec": 0.0, "end_sec": 1.0},
],
},
{
"label": "place",
"intervals": [
{"label_echo": "place", "start_sec": 1.0, "end_sec": 2.0},
],
},
]
)
rows, diagnostics = score_episode(
episode_id="ep",
family="homer",
gold_segments=gold,
specs=specs,
prediction=prediction,
)
assert diagnostics["events_total"] == 2
assert all(row["iou"] == 1.0 for row in rows)
assert all(row["hit_0_75"] for row in rows)
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