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a2bbd94 | 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 | """Error index: multi-criteria search correctness and worst-container ranking."""
from __future__ import annotations
import numpy as np
from sensorflow.megaeval import errors as errors_mod
from sensorflow.megaeval.population import DIMENSIONS
from sensorflow.megaeval.runs import ERROR_TYPES
def test_multi_criteria_search_matches_brute_filter(mega_env):
store, run = mega_env["store"], mega_env["good"]
art = store.artifacts(run.run_id)
errs, containers = art["errors"], art["containers"]
res = errors_mod.search_errors(
errs, containers, error_types=["FN"],
filters={"class": ["pedestrian"], "lighting": ["night"]},
confidence_max=0.4, risk_min=0.5)
mask = ((errs["error_type"] == ERROR_TYPES.index("FN"))
& (errs["class"] == DIMENSIONS["class"].index("pedestrian"))
& (errs["lighting"] == DIMENSIONS["lighting"].index("night"))
& (errs["confidence"] <= 0.4)
& (errs["risk_score"] >= 0.5))
assert res["matched_errors"] == int(mask.sum())
assert res["matched_errors"] > 0
for ex in res["examples"]:
assert ex["error_type"] == "FN"
assert ex["class"] == "pedestrian"
assert ex["lighting"] == "night"
assert ex["confidence"] <= 0.4
assert ex["risk_score"] >= 0.5
def test_worst_containers_ranked_and_capped(mega_env):
store, run = mega_env["store"], mega_env["good"]
art = store.artifacts(run.run_id)
res = errors_mod.search_errors(art["errors"], art["containers"],
error_types=["FN", "FP"], limit_containers=10)
worst = res["worst_containers"]
assert 0 < len(worst) <= 10
scores = [w["error_count"] * w["mean_risk"] for w in worst]
assert scores == sorted(scores, reverse=True)
# returns aggregated containers with context dims, not raw record dumps
assert "weather" in worst[0] and "n_objects" in worst[0]
def test_safety_only_filter(mega_env):
store, run = mega_env["store"], mega_env["good"]
art = store.artifacts(run.run_id)
res = errors_mod.search_errors(art["errors"], art["containers"],
error_types=["FN"], safety_only=True)
assert res["matched_errors"] > 0
assert all(ex["safety_critical"] for ex in res["examples"])
def test_by_type_totals_are_consistent(mega_env):
store, run = mega_env["store"], mega_env["good"]
art = store.artifacts(run.run_id)
res = errors_mod.search_errors(art["errors"], art["containers"])
assert sum(res["by_type"].values()) == res["matched_errors"] == len(art["errors"])
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