[AZ-423] [AZ-427] Add FT-P-19 + FT-N-05 blackbox tests

Implement the AC-8.6 (top-K=10 retrieval scale-ratio + scene-change
PARTIAL) and AC-8.2 / AC-NEW-6 (stale aged-tile rejection) blackbox
scenarios.

AZ-423 (FT-P-19, 3pt) helpers + scenario:
- retrieval_evaluator.py — top-K within-distance evaluator (60 stills
  vs 100 m budget), scene-change PARTIAL recorder (always emits
  PARTIAL on the 2 _gmaps.png pairs), FDR record projectors, CSV
  writers.
- tests/positive/test_ft_p_19_sat_reloc_scale.py (6 parametrised
  variants).

AZ-427 (FT-N-05, 2pt) helpers + scenario:
- aged_tile_rejection_evaluator.py — Signal A (stale rejection at
  load) + Signal B (per-frame downgrade) decision matrix, reuses
  ALLOWED_SOURCE_LABELS from estimate_schema.
- tests/negative/test_ft_n_05_stale_tile_rejection.py (12 parametrised
  variants: FC × VIO × {7mo/active-conflict, 13mo/rear}).

48 new unit tests cover every helper branch. Both scenarios skip
when sitl_replay_ready is false and fail loudly when fixture records
are missing.

Per-batch review: PASS_WITH_WARNINGS (2 Low — production-dependency
surface, FDR-kind constant duplication).
Cumulative review 82-84: PASS (2 Low carry-over / hygiene candidate).

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-05-17 15:43:06 +03:00
parent a22028087f
commit f25cae4a82
13 changed files with 2005 additions and 3 deletions
@@ -0,0 +1,287 @@
"""Unit tests for ``runner.helpers.aged_tile_rejection_evaluator`` (AZ-427).
Pure-logic AC-8.2 / AC-NEW-6 coverage for FT-N-05.
"""
from __future__ import annotations
from typing import Any
import pytest
from runner.helpers import aged_tile_rejection_evaluator as ate
def _emission(frame_id: str = "AD000001.jpg", label: str = "satellite_anchored") -> ate.SourceLabelEmission:
return ate.SourceLabelEmission(frame_id=frame_id, label=label)
def _rejection(tile_id: str = "tile_001", reason: str = "stale") -> ate.StaleTileRejection:
return ate.StaleTileRejection(tile_id=tile_id, reason=reason)
# ─────────────────────── Signal A (load-time rejection) ───────────────────────
def test_signal_a_stale_rejected_no_emissions_passes() -> None:
# Arrange — SUT rejected the aged tiles at load; nothing else ran
report = ate.evaluate_aged_tile_rejection(
sub_case_id="7mo_active_conflict",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=[],
rejections=[_rejection()],
)
# Assert
assert report.passes
assert report.signal_a_holds
assert not report.signal_b_holds
assert report.has_stale_rejection
assert report.anchored_count == 0
def test_signal_a_stale_rejected_plus_downgrade_passes() -> None:
# Arrange — rejected at load AND every later emission is downgraded
emissions = [_emission(label="visual_propagated"), _emission(label="dead_reckoned")]
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="13mo_rear",
fixture="synth-age-13mo",
sector="rear",
emissions=emissions,
rejections=[_rejection()],
)
# Assert
assert report.passes
assert report.signal_a_holds
def test_signal_a_stale_rejected_but_one_anchored_fails() -> None:
# Arrange — even with stale rejection, an anchored emission is a fatal fail
emissions = [_emission(label="satellite_anchored"), _emission(label="visual_propagated")]
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=emissions,
rejections=[_rejection()],
)
# Assert
assert not report.passes
assert report.anchored_count == 1
assert not report.signal_a_holds # short-circuit due to anchored emission
# ─────────────────────── Signal B (per-frame downgrade) ───────────────────────
def test_signal_b_all_downgraded_no_rejection_passes() -> None:
# Arrange — tiles loaded, every emission downgraded
emissions = [_emission(f"f_{i}", label="visual_propagated") for i in range(60)]
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=emissions,
rejections=[],
)
# Assert
assert report.passes
assert not report.signal_a_holds
assert report.signal_b_holds
def test_signal_b_mixed_downgrade_labels_pass() -> None:
# Arrange — visual_propagated + dead_reckoned mix
emissions = [
_emission("f_1", label="visual_propagated"),
_emission("f_2", label="dead_reckoned"),
_emission("f_3", label="visual_propagated"),
]
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=emissions,
rejections=[],
)
# Assert
assert report.passes
def test_signal_b_one_anchored_among_downgrades_fails() -> None:
# Arrange — 59 downgraded + 1 anchored = FAIL
emissions = [_emission(f"f_{i}", label="visual_propagated") for i in range(59)]
emissions.append(_emission("f_60", label="satellite_anchored"))
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=emissions,
rejections=[],
)
# Assert
assert not report.passes
assert report.anchored_count == 1
# ─────────────────────── degenerate inputs ───────────────────────
def test_no_emissions_no_rejection_fails() -> None:
# Arrange — we can't conclude the freshness gate fired at all
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=[],
rejections=[],
)
# Assert
assert not report.passes
assert not report.signal_a_holds
assert not report.signal_b_holds
def test_illegal_label_fails_regardless_of_signals() -> None:
# Arrange — a label outside the FT-P-03 set is a hard fail
emissions = [_emission(label="garbage")]
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=emissions,
rejections=[_rejection()],
)
# Assert
assert not report.passes
assert report.illegal_labels == (("AD000001.jpg", "garbage"),)
def test_non_stale_rejection_ignored() -> None:
# Arrange — reason != "stale" must not satisfy signal A
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=[],
rejections=[_rejection(reason="below_floor")],
)
# Assert
assert not report.has_stale_rejection
assert not report.passes
def test_multiple_stale_rejections_collected() -> None:
# Arrange
rejections = [_rejection("t_a"), _rejection("t_b")]
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-7mo",
sector="active_conflict",
emissions=[],
rejections=rejections,
)
# Assert
assert report.stale_rejections == ("t_a", "t_b")
def test_report_anchored_frame_ids_preserved() -> None:
# Arrange — anchored emissions must surface their frame IDs for diagnosis
emissions = [
_emission("AD000010.jpg", label="satellite_anchored"),
_emission("AD000020.jpg", label="satellite_anchored"),
]
# Act
report = ate.evaluate_aged_tile_rejection(
sub_case_id="x",
fixture="synth-age-13mo",
sector="rear",
emissions=emissions,
rejections=[],
)
# Assert
assert report.anchored_frame_ids == ("AD000010.jpg", "AD000020.jpg")
# ─────────────────────── project_stale_rejection_payload ───────────────────────
def test_project_stale_rejection_happy_path() -> None:
# Act
r = ate.project_stale_rejection_payload({"tile_id": "t_a", "reason": "stale"})
# Assert
assert r is not None
assert r.tile_id == "t_a"
def test_project_stale_rejection_id_alias_accepted() -> None:
# Act
r = ate.project_stale_rejection_payload({"id": "t_b", "reason": "stale"})
# Assert
assert r is not None
assert r.tile_id == "t_b"
def test_project_stale_rejection_wrong_reason_returns_none() -> None:
# Act
r = ate.project_stale_rejection_payload({"tile_id": "t_a", "reason": "below_floor"})
# Assert
assert r is None
def test_project_stale_rejection_non_dict_returns_none() -> None:
# Act / Assert
assert ate.project_stale_rejection_payload(None) is None
assert ate.project_stale_rejection_payload("nope") is None
def test_project_stale_rejection_missing_id_returns_none() -> None:
# Act / Assert
assert ate.project_stale_rejection_payload({"reason": "stale"}) is None
def test_project_stale_rejection_id_not_string_returns_none() -> None:
# Act / Assert
assert ate.project_stale_rejection_payload({"tile_id": 42, "reason": "stale"}) is None
# ─────────────────────── iter_stale_rejection_payloads ───────────────────────
class _StubRecord:
def __init__(self, record_type: str, payload: Any) -> None:
self.record_type = record_type
self.payload = payload
def test_iter_stale_rejection_payloads_filters_record_type() -> None:
# Arrange
records = [
_StubRecord("tile-load-rejected", {"tile_id": "t_a", "reason": "stale"}),
_StubRecord("retrieval-topk", {"image_id": "AD000001"}),
_StubRecord("tile-load-rejected", {"tile_id": "t_b", "reason": "below_floor"}),
_StubRecord("tile-load-rejected", {"tile_id": "t_c", "reason": "stale"}),
]
# Act
rejections = list(ate.iter_stale_rejection_payloads(records))
# Assert
assert [r.tile_id for r in rejections] == ["t_a", "t_c"]
# ─────────────────────── AGED_FIXTURE_SECTOR_BINDINGS ───────────────────────
def test_aged_fixture_sector_bindings_match_spec() -> None:
# Assert — frozen contract from FT-N-05 AC-8.2 sub-case table
assert dict(ate.AGED_FIXTURE_SECTOR_BINDINGS) == {
"synth-age-7mo": ate.SECTOR_ACTIVE_CONFLICT,
"synth-age-13mo": ate.SECTOR_REAR,
}
@@ -0,0 +1,389 @@
"""Unit tests for ``runner.helpers.retrieval_evaluator`` (AZ-423).
Pure-logic AC-8.6 coverage for FT-P-19 — the scenario in
``e2e/tests/positive/test_ft_p_19_sat_reloc_scale.py`` exercises the
same helpers end-to-end when the SITL fixture is prepared; this file
covers them in isolation.
"""
from __future__ import annotations
import csv
from pathlib import Path
from typing import Any
import pytest
from runner.helpers import retrieval_evaluator as re_
DERKACHI_LAT = 48.275292
DERKACHI_LON = 37.385220
def _candidate(
tile_id: str = "tile_001",
lat: float = DERKACHI_LAT,
lon: float = DERKACHI_LON,
) -> re_.CandidateTile:
return re_.CandidateTile(tile_id=tile_id, centre_lat_deg=lat, centre_lon_deg=lon)
def _query(
image_id: str = "AD000001",
*,
true_lat: float = DERKACHI_LAT,
true_lon: float = DERKACHI_LON,
candidates: tuple[re_.CandidateTile, ...] = (),
) -> re_.TopKQuery:
return re_.TopKQuery(
image_id=image_id,
true_centre_lat_deg=true_lat,
true_centre_lon_deg=true_lon,
candidates=candidates,
)
# ─────────────────────── evaluate_top_k_within_distance ───────────────────────
def test_evaluate_top_k_one_candidate_close_passes() -> None:
# Arrange — single candidate exactly at GT
q = _query(candidates=(_candidate(),))
# Act
report = re_.evaluate_top_k_within_distance([q], expected_image_count=1)
# Assert
assert report.passes
assert report.pass_count == 1
assert report.entries[0].min_distance_m == pytest.approx(0.0, abs=0.01)
def test_evaluate_top_k_all_candidates_far_fails() -> None:
# Arrange — candidate ~ 1 km east at this latitude
far = _candidate(tile_id="far", lat=DERKACHI_LAT, lon=DERKACHI_LON + 0.0135)
q = _query(candidates=(far,))
# Act
report = re_.evaluate_top_k_within_distance([q], expected_image_count=1)
# Assert
assert not report.passes
assert report.entries[0].pass_distance is False
assert (report.entries[0].min_distance_m or 0) > 100.0
def test_evaluate_top_k_one_close_candidate_among_far_passes() -> None:
# Arrange — 9 far + 1 close in top-K (any rank passes)
far_tiles = tuple(
_candidate(tile_id=f"far_{i}", lon=DERKACHI_LON + 0.01 * (i + 1))
for i in range(9)
)
close = _candidate(tile_id="close", lat=DERKACHI_LAT, lon=DERKACHI_LON)
q = _query(candidates=far_tiles + (close,))
# Act
report = re_.evaluate_top_k_within_distance([q], expected_image_count=1)
# Assert
assert report.passes
def test_evaluate_top_k_empty_candidates_fails() -> None:
# Arrange
q = _query(candidates=())
# Act
report = re_.evaluate_top_k_within_distance([q], expected_image_count=1)
# Assert
assert not report.passes
assert report.entries[0].min_distance_m is None
assert report.entries[0].candidate_count == 0
def test_evaluate_top_k_short_query_count_fails_aggregate() -> None:
# Arrange — 1 passing query but expected_image_count=60
q = _query(candidates=(_candidate(),))
# Act
report = re_.evaluate_top_k_within_distance([q], expected_image_count=60)
# Assert
assert not report.passes
assert report.pass_count == 1
def test_evaluate_top_k_invalid_tolerance_raises() -> None:
with pytest.raises(ValueError, match="max_distance_m"):
re_.evaluate_top_k_within_distance(
[_query(candidates=(_candidate(),))], max_distance_m=0
)
def test_evaluate_top_k_custom_tolerance() -> None:
# Arrange — candidate 200m east; default 100m fails, custom 250m passes
far_200m = _candidate(lat=DERKACHI_LAT, lon=DERKACHI_LON + 0.0027)
q = _query(candidates=(far_200m,))
# Act
strict = re_.evaluate_top_k_within_distance([q], max_distance_m=100, expected_image_count=1)
lenient = re_.evaluate_top_k_within_distance([q], max_distance_m=250, expected_image_count=1)
# Assert
assert not strict.passes
assert lenient.passes
def test_evaluate_top_k_aggregate_60_all_pass() -> None:
# Arrange — 60 queries, each with one close candidate
queries = [_query(image_id=f"AD0000{i:02d}", candidates=(_candidate(),)) for i in range(1, 61)]
# Act
report = re_.evaluate_top_k_within_distance(queries, expected_image_count=60)
# Assert
assert report.passes
assert report.pass_count == 60
def test_evaluate_top_k_aggregate_60_one_fail() -> None:
# Arrange — 59 pass + 1 fail
queries = [_query(image_id=f"AD0000{i:02d}", candidates=(_candidate(),)) for i in range(1, 60)]
queries.append(_query(image_id="AD000060", candidates=()))
# Act
report = re_.evaluate_top_k_within_distance(queries, expected_image_count=60)
# Assert
assert not report.passes
assert report.pass_count == 59
assert len(report.failing_entries) == 1
# ─────────────────────── evaluate_scene_change_subset ───────────────────────
def test_evaluate_scene_change_both_matched_still_partial() -> None:
# Arrange — both pairs matched
matches = [
re_.SceneChangeMatch(image_id="AD000001", matched=True, inlier_count=120),
re_.SceneChangeMatch(image_id="AD000002", matched=True, inlier_count=98),
]
# Act
report = re_.evaluate_scene_change_subset(matches)
# Assert
assert report.coverage_complete
assert report.overall_label == re_.SCENE_CHANGE_SUBSET_PARTIAL_LABEL
assert report.matched_count == 2
def test_evaluate_scene_change_zero_matched_still_partial() -> None:
# Arrange
matches = [
re_.SceneChangeMatch(image_id="AD000001", matched=False, inlier_count=0),
re_.SceneChangeMatch(image_id="AD000002", matched=False, inlier_count=0),
]
# Act
report = re_.evaluate_scene_change_subset(matches)
# Assert
assert report.overall_label == re_.SCENE_CHANGE_SUBSET_PARTIAL_LABEL
def test_evaluate_scene_change_one_image_only_coverage_incomplete() -> None:
# Arrange
matches = [re_.SceneChangeMatch(image_id="AD000001", matched=True, inlier_count=120)]
# Act
report = re_.evaluate_scene_change_subset(matches)
# Assert
assert not report.coverage_complete
# PARTIAL label still set (decoupled from coverage)
assert report.overall_label == re_.SCENE_CHANGE_SUBSET_PARTIAL_LABEL
def test_evaluate_scene_change_empty_coverage_incomplete() -> None:
# Act
report = re_.evaluate_scene_change_subset([])
# Assert
assert not report.coverage_complete
def test_evaluate_scene_change_extra_image_ids_coverage_incomplete() -> None:
# Arrange — image set that doesn't match expected pair ids
matches = [
re_.SceneChangeMatch(image_id="AD000099", matched=True, inlier_count=120),
re_.SceneChangeMatch(image_id="AD000002", matched=True, inlier_count=80),
]
# Act
report = re_.evaluate_scene_change_subset(matches)
# Assert
assert not report.coverage_complete
# ─────────────────────── CSV writers ───────────────────────
def test_write_top_k_csv_round_trip(tmp_path: Path) -> None:
# Arrange
out = tmp_path / "topk.csv"
queries = [
_query(image_id="AD000001", candidates=(_candidate(),)),
_query(image_id="AD000002", candidates=()),
]
report = re_.evaluate_top_k_within_distance(queries, expected_image_count=2)
# Act
re_.write_top_k_csv(out, report)
rows = list(csv.reader(out.open(encoding="utf-8")))
# Assert
assert rows[0] == list(re_.TOP_K_CSV_HEADER)
assert rows[1][0] == "AD000001"
assert rows[1][3] == "true"
assert rows[2][0] == "AD000002"
assert rows[2][2] == "" # min_distance_m is None when no candidates
assert rows[2][3] == "false"
def test_write_scene_change_csv_round_trip(tmp_path: Path) -> None:
# Arrange
out = tmp_path / "scene_change.csv"
matches = [
re_.SceneChangeMatch(image_id="AD000001", matched=True, inlier_count=120),
re_.SceneChangeMatch(image_id="AD000002", matched=False, inlier_count=None),
]
report = re_.evaluate_scene_change_subset(matches)
# Act
re_.write_scene_change_csv(out, report)
rows = list(csv.reader(out.open(encoding="utf-8")))
# Assert
assert rows[0] == list(re_.SCENE_CHANGE_CSV_HEADER)
assert rows[1] == ["AD000001", "true", "120", re_.SCENE_CHANGE_SUBSET_PARTIAL_LABEL]
assert rows[2] == ["AD000002", "false", "", re_.SCENE_CHANGE_SUBSET_PARTIAL_LABEL]
def test_write_top_k_csv_missing_parent_dir_raises(tmp_path: Path) -> None:
out = tmp_path / "nope" / "topk.csv"
report = re_.evaluate_top_k_within_distance(
[_query(candidates=(_candidate(),))], expected_image_count=1
)
with pytest.raises(OSError):
re_.write_top_k_csv(out, report)
# ─────────────────────── project_topk_record_to_query ───────────────────────
def test_project_topk_happy_path() -> None:
# Arrange
payload = {
"image_id": "AD000001",
"candidates": [
{"tile_id": "t_a", "centre_lat_deg": DERKACHI_LAT, "centre_lon_deg": DERKACHI_LON},
{"tile_id": "t_b", "centre_lat_deg": DERKACHI_LAT + 0.001, "centre_lon_deg": DERKACHI_LON},
],
}
# Act
q = re_.project_topk_record_to_query(
payload, true_centre_lat_deg=DERKACHI_LAT, true_centre_lon_deg=DERKACHI_LON
)
# Assert
assert q is not None
assert q.image_id == "AD000001"
assert len(q.candidates) == 2
assert q.candidates[0].tile_id == "t_a"
def test_project_topk_skips_malformed_candidates() -> None:
# Arrange
payload = {
"image_id": "AD000002",
"candidates": [
{"tile_id": "ok", "centre_lat_deg": DERKACHI_LAT, "centre_lon_deg": DERKACHI_LON},
"not a dict",
{"tile_id": "missing_lat", "centre_lon_deg": DERKACHI_LON},
{"tile_id": "wrong_type", "centre_lat_deg": "stringy", "centre_lon_deg": DERKACHI_LON},
],
}
# Act
q = re_.project_topk_record_to_query(
payload, true_centre_lat_deg=DERKACHI_LAT, true_centre_lon_deg=DERKACHI_LON
)
# Assert
assert q is not None
assert [c.tile_id for c in q.candidates] == ["ok"]
def test_project_topk_non_dict_payload_returns_none() -> None:
# Act / Assert
assert re_.project_topk_record_to_query("not a dict", 0, 0) is None # type: ignore[arg-type]
def test_project_topk_missing_image_id_returns_none() -> None:
# Act / Assert
assert re_.project_topk_record_to_query({"candidates": []}, 0, 0) is None
def test_project_topk_missing_candidates_returns_none() -> None:
# Act / Assert
assert re_.project_topk_record_to_query({"image_id": "AD000001"}, 0, 0) is None
# ─────────────────────── project_scene_change_record ───────────────────────
def test_project_scene_change_happy_path() -> None:
# Arrange
payload = {"image_id": "AD000001", "matched": True, "inlier_count": 120}
# Act
m = re_.project_scene_change_record(payload)
# Assert
assert m is not None
assert m.matched is True
assert m.inlier_count == 120
def test_project_scene_change_inlier_count_missing_is_none() -> None:
# Act
m = re_.project_scene_change_record({"image_id": "AD000001", "matched": False})
# Assert
assert m is not None
assert m.inlier_count is None
def test_project_scene_change_inlier_count_bool_is_none() -> None:
# Act — bool is technically int in Python, but treat as missing for inlier_count
m = re_.project_scene_change_record(
{"image_id": "AD000001", "matched": True, "inlier_count": True}
)
# Assert
assert m is not None
assert m.inlier_count is None
def test_project_scene_change_matched_not_bool_returns_none() -> None:
# Act / Assert
assert re_.project_scene_change_record({"image_id": "AD000001", "matched": "yes"}) is None
def test_project_scene_change_non_dict_returns_none() -> None:
# Act / Assert
assert re_.project_scene_change_record(None) is None
assert re_.project_scene_change_record("nope") is None
# ─────────────────────── iter_*_payloads ───────────────────────
class _StubRecord:
def __init__(self, record_type: str, payload: Any) -> None:
self.record_type = record_type
self.payload = payload
def test_iter_topk_payloads_filters_by_record_type() -> None:
# Arrange
records = [
_StubRecord("retrieval-topk", {"image_id": "AD000001"}),
_StubRecord("scene-change-match", {"image_id": "AD000002"}),
_StubRecord("retrieval-topk", {"image_id": "AD000003"}),
_StubRecord("other-kind", {}),
]
# Act
payloads = list(re_.iter_topk_payloads(records))
# Assert
assert [p["image_id"] for p in payloads] == ["AD000001", "AD000003"]
def test_iter_scene_change_payloads_filters_by_record_type() -> None:
# Arrange
records = [
_StubRecord("retrieval-topk", {"image_id": "AD000001"}),
_StubRecord("scene-change-match", {"image_id": "AD000002"}),
]
# Act
payloads = list(re_.iter_scene_change_payloads(records))
# Assert
assert payloads == [{"image_id": "AD000002"}]
+4
View File
@@ -55,6 +55,8 @@ E2E_ROOT = Path(__file__).resolve().parents[1]
"runner/helpers/tile_cache_inspector.py",
"runner/helpers/mid_flight_tile_evaluator.py",
"runner/helpers/mock_suite_sat_audit.py",
"runner/helpers/retrieval_evaluator.py",
"runner/helpers/aged_tile_rejection_evaluator.py",
"runner/helpers/cold_start_evaluator.py",
"runner/helpers/outlier_tolerance_evaluator.py",
"runner/helpers/outage_request_evaluator.py",
@@ -116,10 +118,12 @@ E2E_ROOT = Path(__file__).resolve().parents[1]
"tests/positive/test_ft_p_16_offline_only.py",
"tests/positive/test_ft_p_17_mid_flight_tiles.py",
"tests/positive/test_ft_p_18_no_raw_retention.py",
"tests/positive/test_ft_p_19_sat_reloc_scale.py",
"tests/negative/test_ft_n_01_outlier_tolerance.py",
"tests/negative/test_ft_n_02_sharp_turn_failure.py",
"tests/negative/test_ft_n_03_outage_reloc.py",
"tests/negative/test_ft_n_04_blackout_spoof.py",
"tests/negative/test_ft_n_05_stale_tile_rejection.py",
"tests/negative/test_ft_n_06_mid_flight_freshness.py",
],
)