Add files using upload-large-folder tool
719b488 verified about 1 month ago
28.7 kB
#!/usr/bin/env python3
"""Independent acceptance gate for the 3D-FRONT export.
This script never imports convert_3dfront or unify_3dfront and never reuses
their record builders. Everything it checks is either recounted from the two
published JSON files or recomputed from the raw house JSON with a second,
deliberately different implementation for the two that carry real algorithms
(gift-wrapping instead of monotone chain for the hull, a hand-written scanner
instead of the regex for the room type), so that a shared bug cannot hide behind
itself. furniture_size and furniture_position are transcriptions, not
independent derivations: they gate the wiring, not the axis order. There is no
independent area
computation any more, because room_area_m2 is no longer computed from geometry:
it is the raw scene.room[].size scalar, and it is gated against that scalar in
both directions.
Any failed gate exits non-zero.
Usage:
    python kits/verify_3dfront.py --data-dir data \
        --room json_room.json --merged multiroom/json_multi_merged.json
"""

from __future__ import annotations

import argparse
import json
import math
import random
import sys
from collections import Counter
from pathlib import Path

# --------------------------------------------------------------------------
# Acceptance baselines (measured on the raw houses, see README.md)
# --------------------------------------------------------------------------

BASELINES = {
    "room_scenes": 56129,
    "merged_scenes": 6813,
    "merged_room_total": 56129,
    "placements_room_view": 533837,
    "placements_merged_view": 533837,
    # Direct counts of the raw scene.room[].size values, no geometry involved:
    # 33,116 rooms state a positive area. Everything else is null -- 4,695 rooms
    # state 0 and 18,318 carry no size key at all. 33,116 + 23,013 = 56,129.
    "area_from_source": 33116,
    "area_null": 23013,
    "boundary_convex_hull": 50903,
    "boundary_null": 5226,
    "room_height_non_null": 49799,
    "room_height_null": 6330,
    # room_type is the raw scene.room[].type string normalised through IL3D's
    # table plus IL3D's own split rule. Every one of the 56,129 rooms states a
    # type, so nothing is null. Pinned from the 2026-09-03 full run; check_samples
    # additionally re-derives room_type from raw with an independent scanner.
    "room_type_non_null": 56129,
    "room_type_null": 0,
    # furniture_category is furniture[].category and nothing else; model_info.json
    # belongs to 3D-FUTURE and disagrees with it on 39% of the placements where
    # both exist. furniture_size is furniture[].size or the flat furniture[].bbox
    # -- one quantity under two keys, identical to the last digit over the 2,387
    # definitions carrying both -- times children[].scale. Both counts changed with those decisions
    # and are pinned from the first full run under them.
    # 236,352 of the 533,837 placements (44.3%) reference a furniture uid the
    # house does not define, so they carry no category and no extent at all.
    "category_non_null": 46124,
    "category_null": 487713,
    "size_non_null": 182794,
    "size_null": 351043,
    "position_non_null": 533432,
    "position_null": 405,
    "rotation_no_tilt": 527710,
    # 6,127 records have null x/y: 5,695 retain yaw and 432 also have null z.
    # This bucket combines tilted placements and unusable source quaternions;
    # the converter counts those two cases separately.
    "rotation_tilt": 6127,
    "rotation_tilt_yaw_null": 432,
    # Opening totals interact with the "fewer than four footprint points" filter
    # (audit: Door 678, Window 579, BayWindow 1911 such meshes, dropped before
    # grouping). If the observed
    # numbers differ, the filter interaction must be resolved before release --
    # do not quietly relax the gate.
    "doors_total": 28731,
    # 47,671 = 23,638 Window + 24,033 BayWindow. Six fewer than the briefing's
    # 47,677 because a group whose 2D hull collapses to under four points cannot
    # produce a profile polygon and is now rejected instead of published:
    # opening_Window_group_hull_under_four 1 + opening_BayWindow_... 5 = 6. Exact,
    # so the delta is resolved rather than relaxed.
    "windows_total": 47671,
}

# The four bulk geometry arrays, and nothing else. "material" and "materialList"
# used to be in this set by mistake: on a mesh, material is a uid string, not
# geometry. No mesh record is published at all now -- only the type strings, in
# source_fields.mesh_types -- so this gate is what proves no geometry leaked in.
FORBIDDEN_KEYS = {"xyz", "faces", "normal", "uv"}

# Exact key order, checked with == so an added or dropped field fails the gate.
# These are the root README schema blocks verbatim, plus source_fields for the
# source fields the schema has no slot for. source_fields holds exactly ten keys,
# each one a source field that says something about the layout and that no schema
# field consumed -- three on the room, seven on a placement. Both lists are
# asserted below, per room and per placement, not merely described here.
CORE_ROOM_KEYS = [
    "room_id", "room_index", "room_type", "room_type_source", "room_boundary",
    "room_boundary_type", "room_area_m2", "room_height", "coordinate_system",
    "doors", "windows", "furniture_quantity", "furniture", "source_fields",
]
CORE_FURNITURE_KEYS = [
    "furniture_category", "furniture_instance_id", "furniture_position",
    "furniture_rotation", "furniture_size", "source_fields",
]
# The twelve root README scene keys, in the README's own order.
CORE_SCENE_KEYS = [
    "scene_id", "sample_id", "dataset", "source_dataset", "source_subset",
    "room_count", "total_area", "building_style", "description",
    "description_source", "provenance", "rooms",
]
ROOM_SOURCE_FIELD_KEYS = ["extension_door", "mesh_types", "scene_boundingBox"]
FURNITURE_SOURCE_FIELD_KEYS = [
    "jid", "title", "bbox", "sourceCategoryId", "valid", "replace_bbox",
    "parentJid",
]

# IL3D's table restated, not imported: this script never imports the converter.
ROOM_TYPE_TABLE = {
    "Aisle": "aisle", "Balcony": "balcony", "BathRoom": "bathroom",
    "BedRoom": "bedroom", "CloakRoom": "cloakroom",
    "DiningRoom": "dining room", "ElderlyRoom": "elderly room",
    "Garage": "garage", "KidsRoom": "kids room", "Kitchen": "kitchen",
    "LaundryRoom": "laundry room", "Library": "library",
    "LivingDiningRoom": "living dining room", "LivingRoom": "living room",
    "OfficeRoom": "office", "OtherRoom": "other room",
    "RecreationRoom": "recreation room", "StorageRoom": "storage room",
}


# --------------------------------------------------------------------------
# Independent geometry (different algorithms on purpose)
# --------------------------------------------------------------------------


def hull_gift_wrapping(points):
    """Jarvis march. Independent of the monotone chain used by the converter."""
    pts = sorted(set(points))
    if len(pts) < 3:
        return pts
    start = pts[0]
    hull, current = [], start
    while True:
        hull.append(current)
        candidate = pts[0] if pts[0] != current else pts[1]
        for p in pts:
            if p == current:
                continue
            cross = ((candidate[0] - current[0]) * (p[1] - current[1])
                     - (candidate[1] - current[1]) * (p[0] - current[0]))
            # Collinearity needs the same tolerance the converter uses (1e-12).
            # A floor edge sampled at even spacing -- e.g. Bathroom-54893 of house
            # 0003d406, whose bottom edge carries a vertex at x=1.1575 exactly
            # between x=0.7575 and x=1.5575 -- is collinear in exact arithmetic but
            # evaluates to a cross of ~1e-19 in floating point. Testing cross == 0
            # made this march keep that mid-edge vertex while the monotone chain
            # dropped it, and the two hulls then disagreed on a room that is not
            # actually ambiguous. The algorithms stay different; only the
            # degeneracy threshold is shared.
            if cross < -1e-12:
                candidate = p
            elif abs(cross) <= 1e-12:
                far = ((p[0] - current[0]) ** 2 + (p[1] - current[1]) ** 2)
                near = ((candidate[0] - current[0]) ** 2 + (candidate[1] - current[1]) ** 2)
                if far > near:
                    candidate = p
        current = candidate
        if current == start:
            return hull
        if len(hull) > len(pts):
            raise RuntimeError("gift wrapping did not terminate")


def room_type_scan(raw):
    r"""The converter's normalisation, scanned by hand instead of by regex.
    convert_3dfront.py splits with re.findall(r"[A-Z][a-z]*|[a-z]+|\d+"); this
    walks the string. Same partition, different code.
    """
    if not isinstance(raw, str) or not raw.strip():
        return None
    if raw in ROOM_TYPE_TABLE:
        return ROOM_TYPE_TABLE[raw]
    words, current, kind = [], "", None
    for ch in raw:
        if "A" <= ch <= "Z":
            starts, k = True, "alpha"
        elif "a" <= ch <= "z":
            starts, k = kind != "alpha", "alpha"
        elif "0" <= ch <= "9":
            starts, k = kind != "digit", "digit"
        else:
            starts, k = True, None
        if starts and current:
            words.append(current)
            current = ""
        current = current + ch if k else ""
        kind = k
    if current:
        words.append(current)
    return " ".join(words).lower() if words else raw.lower()


def vec3(value):
    return (isinstance(value, list) and len(value) == 3
            and all(isinstance(v, (int, float)) and math.isfinite(float(v))
                    for v in value))


def size_from_raw(child, defn):
    """furniture_size re-derived from raw: asset extent x placement scale."""
    defn = defn or {}
    base = None
    for key in ("size", "bbox"):
        if vec3(defn.get(key)):
            base = [float(v) for v in defn[key]]
            break
    if base is None or not vec3(child.get("scale")):
        return None
    scale = [abs(float(v)) for v in child["scale"]]
    width, height, length = base[0] * scale[0], base[1] * scale[1], base[2] * scale[2]
    if any((not math.isfinite(v)) or v <= 0.0 for v in (width, height, length)):
        return None
    out = {"width": round(width, 6), "length": round(length, 6),
           "height": round(height, 6)}
    return None if any(v <= 0.0 for v in out.values()) else out


def same_ring(a, b, tol=1e-6):
    """Compare two rings ignoring start offset and winding direction."""
    if len(a) != len(b):
        return False
    n = len(a)
    for direction in (b, list(reversed(b))):
        for shift in range(n):
            rotated = direction[shift:] + direction[:shift]
            if all(abs(p[0] - q[0]) <= tol and abs(p[1] - q[1]) <= tol
                   for p, q in zip(a, rotated)):
                return True
    return False


# --------------------------------------------------------------------------
# Streaming readers
# --------------------------------------------------------------------------


def iter_json_array(path):
    """Yield the top-level objects of a large JSON array without loading it."""
    decoder = json.JSONDecoder()
    buffer = ""
    started = False
    with open(path, encoding="utf-8") as handle:
        for line in handle:
            stripped = line.strip()
            if not started:
                if stripped.startswith("["):
                    started = True
                    stripped = stripped[1:].strip()
                    if not stripped:
                        continue
                else:
                    continue
            if stripped in ("]", ""):
                continue
            buffer += stripped
            while buffer:
                buffer = buffer.lstrip(", \t")
                if not buffer or buffer[0] == "]":
                    buffer = ""
                    break
                try:
                    obj, end = decoder.raw_decode(buffer)
                except ValueError:
                    break
                yield obj
                buffer = buffer[end:]
    if buffer.strip(" ,]\n"):
        raise ValueError(f"{path}: trailing content could not be parsed")


def scan_forbidden(node, path, findings):
    """Publication allowlist: no raw mesh arrays, no local absolute paths.
    Every node of every merged scene, no sampling. The room view is not scanned
    separately: its room objects are asserted equal to the merged ones.
    """
    if isinstance(node, dict):
        for key, value in node.items():
            if key in FORBIDDEN_KEYS:
                findings.append(f"{path}.{key}: forbidden raw-geometry key")
            scan_forbidden(value, f"{path}.{key}", findings)
    elif isinstance(node, list):
        for index, value in enumerate(node):
            scan_forbidden(value, f"{path}[{index}]", findings)
    elif isinstance(node, str):
        if node.startswith("/Users/") or node.startswith("/home/"):
            findings.append(f"{path}: local absolute path leaked")


# --------------------------------------------------------------------------
# Gate 1 + 2 + 5: recount the published files, check invariants, cross-view
# --------------------------------------------------------------------------


def walk_views(room_path, merged_path, sample_size, rng):
    """Single parallel pass over both views.
    The room view is ordered house-by-house and room-by-room, the merged view
    house-by-house, so the two can be zipped without holding either in memory.
    """
    stats = Counter()
    failures = []
    scene_ids_room, scene_ids_merged = set(), set()
    furniture_ids = set()
    reservoir = []
    seen_rooms = 0
    forbidden = []

    room_iter = iter_json_array(room_path)
    for merged in iter_json_array(merged_path):
        stats["merged_scenes"] += 1
        scene_ids_merged.add(merged["scene_id"])
        if merged["room_count"] != len(merged["rooms"]):
            failures.append(f"{merged['scene_id']}: room_count != len(rooms)")
        scan_forbidden(merged, merged["scene_id"], forbidden)

        known_areas = [r["room_area_m2"] for r in merged["rooms"]
                       if r["room_area_m2"] is not None]
        expected_total = round(sum(known_areas), 6) if known_areas else None
        if merged["total_area"] != expected_total:
            failures.append(f"{merged['scene_id']}: total_area != sum(room_area_m2)")

        room_ids = [r["room_id"] for r in merged["rooms"]]
        if len(set(room_ids)) != len(room_ids):
            failures.append(f"{merged['scene_id']}: duplicate room_id inside scene")

        for index, room in enumerate(merged["rooms"]):
            stats["merged_room_total"] += 1
            try:
                single = next(room_iter)
            except StopIteration:
                failures.append("room view ended before the merged view")
                return stats, failures, reservoir, forbidden

            stats["room_scenes"] += 1
            scene_ids_room.add(single["scene_id"])

            # --- cross-view identity (this is what B1 protects) --------------
            if single["room_count"] != 1 or len(single["rooms"]) != 1:
                failures.append(f"{single['scene_id']}: room view must hold exactly one room")
                single_room = None
            else:
                single_room = single["rooms"][0]
                if single_room != room:
                    failures.append(f"{single['scene_id']}: room object differs between views")
            if list(single.keys()) != CORE_SCENE_KEYS:
                failures.append(f"{single['scene_id']}: scene key order/set differs from contract")
            expected_id = f"{merged['scene_id']}::{room['room_id']}"
            if single["scene_id"] != expected_id:
                failures.append(f"{single['scene_id']}: scene_id != {expected_id}")

            # --- field presence and order -----------------------------------
            if list(room.keys()) != CORE_ROOM_KEYS:
                failures.append(f"{single['scene_id']}: room key order/set differs from contract")
            if list(room["source_fields"].keys()) != ROOM_SOURCE_FIELD_KEYS:
                failures.append(f"{single['scene_id']}: room source_fields key order/set differs")

            # interiorgs_agg.py:182 gives sill_height to windows only.
            if any(d["sill_height"] is not None for d in room["doors"]):
                failures.append(f"{single['scene_id']}: door carries a sill_height")

            # --- recount ----------------------------------------------------
            btype = room["room_boundary_type"]
            stats["boundary_convex_hull" if btype == "floor_mesh_convex_hull"
                  else "boundary_null" if btype is None else f"boundary_other:{btype}"] += 1
            stats["room_height_non_null" if room["room_height"] is not None
                  else "room_height_null"] += 1
            stats["area_null" if room["room_area_m2"] is None
                  else "area_from_source"] += 1
            stats["room_type_non_null" if room["room_type"] is not None
                  else "room_type_null"] += 1
            stats["doors_total"] += len(room["doors"])
            stats["windows_total"] += len(room["windows"])
            if room["furniture_quantity"] != len(room["furniture"]):
                failures.append(f"{single['scene_id']}: furniture_quantity != len(furniture)")

            # Counted from each file separately, but what actually gates the two
            # views against each other is the deep equality above; these two can
            # only diverge on a run that already failed there.
            stats["placements_merged_view"] += len(room["furniture"])
            if single_room is not None:
                stats["placements_room_view"] += len(single_room["furniture"])

            for item in room["furniture"]:
                if list(item.keys()) != CORE_FURNITURE_KEYS:
                    failures.append(f"{single['scene_id']}: furniture key order differs")
                if list(item["source_fields"].keys()) != FURNITURE_SOURCE_FIELD_KEYS:
                    failures.append(
                        f"{single['scene_id']}: furniture source_fields key order/set differs")
                furniture_ids.add(item["furniture_instance_id"])
                stats["category_non_null" if item["furniture_category"] is not None
                      else "category_null"] += 1
                stats["size_non_null" if item["furniture_size"] is not None
                      else "size_null"] += 1
                stats["position_non_null" if item["furniture_position"] is not None
                      else "position_null"] += 1
                rot = item["furniture_rotation"]
                if rot["x"] is None and rot["y"] is None:
                    stats["rotation_tilt"] += 1
                    if rot["z"] is None:
                        stats["rotation_tilt_yaw_null"] += 1
                else:
                    stats["rotation_no_tilt"] += 1

            seen_rooms += 1
            if len(reservoir) < sample_size:
                reservoir.append(single)
            else:
                j = rng.randrange(seen_rooms)
                if j < sample_size:
                    reservoir[j] = single

    if next(room_iter, None) is not None:
        failures.append("room view has more records than the merged view")
    if len(scene_ids_room) != stats["room_scenes"]:
        failures.append("duplicate scene_id in json_room.json")
    if len(scene_ids_merged) != stats["merged_scenes"]:
        failures.append("duplicate scene_id in the merged view")
    if len(furniture_ids) != stats["placements_merged_view"]:
        failures.append("duplicate furniture_instance_id across the dataset")
    return stats, failures, reservoir, forbidden


# --------------------------------------------------------------------------
# Gate 3 + 4: recompute sampled rooms from the raw house JSON
# --------------------------------------------------------------------------


def recompute_room(house_path, source_room_id):
    """Rebuild from raw everything the sampled gate compares against.
    Boundary, room_type, and per-placement position / category / size. Nothing
    here reads the published files, and nothing imports the converter.
    """
    with open(house_path, encoding="utf-8") as handle:
        data = json.load(handle)
    mesh_by_uid = {m["uid"]: m for m in data.get("mesh", []) if m.get("uid") is not None}
    # First definition wins, the way the converter indexes them.
    furniture_by_uid = {}
    for defn in data.get("furniture", []):
        uid = defn.get("uid")
        if uid is not None and uid not in furniture_by_uid:
            furniture_by_uid[uid] = defn

    room = next((r for r in (data.get("scene") or {}).get("room", []) or []
                 if r.get("instanceid") == source_room_id), None)
    if room is None:
        return None

    floor_xy = []
    positions, categories, sizes = {}, {}, {}
    for child in room.get("children", []):
        instanceid = child.get("instanceid") or ""
        if instanceid.startswith("furniture/"):
            defn = furniture_by_uid.get(child.get("ref"))
            pos = child.get("pos")
            if vec3(pos):
                positions[instanceid] = {
                    "x": round(float(pos[0]), 6),
                    "y": round(-float(pos[2]), 6),
                    "z": round(float(pos[1]), 6),
                }
            else:
                positions[instanceid] = None
            categories[instanceid] = (defn or {}).get("category") or None
            sizes[instanceid] = size_from_raw(child, defn)
            continue
        mesh = mesh_by_uid.get(child.get("ref"))
        if mesh is not None and mesh.get("type") == "Floor":
            xyz = mesh.get("xyz") or []
            floor_xy.extend((float(xyz[i]), -float(xyz[i + 2]))
                            for i in range(0, len(xyz) - 2, 3))

    hull = hull_gift_wrapping(floor_xy) if floor_xy else []
    boundary = ([[round(p[0], 6), round(p[1], 6)] for p in hull]
                if len(hull) >= 3 else None)
    return {"boundary": boundary, "positions": positions,
            "categories": categories, "sizes": sizes,
            "source_area": room.get("size"),
            "room_type": room_type_scan(room.get("type"))}


def check_samples(house_dir, samples, failures, stats):
    for scene in samples:
        room = scene["rooms"][0]
        # str.removeprefix is 3.9+; the project env is 3.8, so slice it.
        house_uid = scene["scene_id"].split("::")[0]
        if house_uid.startswith("3dfront_"):
            house_uid = house_uid[len("3dfront_"):]
        recomputed = recompute_room(house_dir / f"{house_uid}.json",
                                    scene["provenance"]["source_room_id"])
        stats["sampled_rooms"] += 1
        if recomputed is None:
            failures.append(f"{scene['scene_id']}: source room not found in raw house")
            continue

        if (recomputed["boundary"] is None) != (room["room_boundary"] is None):
            failures.append(f"{scene['scene_id']}: boundary presence differs from raw")
        elif recomputed["boundary"] is not None:
            if not same_ring(room["room_boundary"], recomputed["boundary"]):
                failures.append(f"{scene['scene_id']}: recomputed hull differs")

        # room_type carries no pinned baseline yet, so this is what gates it: the
        # published string must equal the one an independent scanner derives from
        # raw scene.room[].type.
        if room["room_type"] != recomputed["room_type"]:
            failures.append(
                f"{scene['scene_id']}: room_type {room['room_type']!r} "
                f"!= {recomputed['room_type']!r} re-derived from raw")

        # room_area_m2 is the raw scene.room[].size scalar or nothing. Both
        # directions are gated: a published value must equal the raw one, and a
        # null must be backed by a raw value that is absent or non-positive -- so
        # this can never quietly swallow a room that did state an area.
        raw = recomputed["source_area"]
        raw_positive = (isinstance(raw, (int, float)) and not isinstance(raw, bool)
                        and math.isfinite(raw) and raw > 0)
        if room["room_area_m2"] is not None:
            if not raw_positive or abs(room["room_area_m2"] - round(float(raw), 6)) > 1.5e-6:
                failures.append(
                    f"{scene['scene_id']}: room_area_m2 {room['room_area_m2']} "
                    f"!= raw scene.room[].size {raw}")
        elif raw_positive and round(float(raw), 6) > 0:
            failures.append(
                f"{scene['scene_id']}: room_area_m2 null but raw size is {raw}")

        # Conservation: every furniture placement of the room must be published,
        # with the position the raw pos maps to. The raw placement id is the tail
        # of furniture_instance_id, so a dropped or duplicated placement fails
        # here even though no source object is retained any more. recomputed
        # carries None for a placement whose raw pos is unusable, so a position
        # that was dropped while the source had one fails the same comparison.
        def raw_id(item):
            return item["furniture_instance_id"].split("::", 1)[-1]

        published = [raw_id(f) for f in room["furniture"]]
        if len(published) != len(set(published)):
            failures.append(f"{scene['scene_id']}: duplicate placement ids in one room")
        if set(published) != set(recomputed["positions"]):
            failures.append(f"{scene['scene_id']}: furniture placement set differs from raw")
        # category and size have no pinned baseline either; like room_type they
        # are gated per sampled placement against a re-derivation from raw.
        for item in room["furniture"]:
            sid = raw_id(item)
            stats["sampled_placements"] += 1
            if item["furniture_position"] != recomputed["positions"].get(sid):
                failures.append(f"{scene['scene_id']}/{sid}: position differs")
            if item["furniture_category"] != recomputed["categories"].get(sid):
                failures.append(f"{scene['scene_id']}/{sid}: furniture_category differs from raw")
            if item["furniture_size"] != recomputed["sizes"].get(sid):
                failures.append(f"{scene['scene_id']}/{sid}: furniture_size differs from raw")


def main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--data-dir", type=Path, default=Path("data"))
    parser.add_argument("--room", type=Path, default=Path("json_room.json"))
    parser.add_argument("--merged", type=Path,
                        default=Path("multiroom/json_multi_merged.json"))
    parser.add_argument("--sample", type=int, default=300,
                        help="rooms recomputed from raw house JSON")
    parser.add_argument("--seed", type=int, default=0)
    parser.add_argument("--subset", action="store_true",
                        help="skip absolute count baselines (smoke runs)")
    args = parser.parse_args()

    rng = random.Random(args.seed)
    stats, failures, samples, forbidden = walk_views(
        args.room, args.merged, args.sample, rng)
    check_samples(args.data_dir / "3D-FRONT", samples, failures, stats)
    failures.extend(forbidden)

    baseline_report = {}
    if not args.subset:
        for key, expected in BASELINES.items():
            actual = stats.get(key, 0)
            if expected is None:
                # Not yet measured on a full run. Reported so the number can be
                # pinned, but it cannot gate anything until it is.
                baseline_report[key] = {"expected": None, "actual": actual,
                                        "ok": None, "note": "unpinned"}
                continue
            baseline_report[key] = {"expected": expected, "actual": actual,
                                    "ok": actual == expected}
            if actual != expected:
                failures.append(f"baseline {key}: expected {expected}, got {actual}")

    report = {
        "counts": dict(sorted(stats.items())),
        "baselines": baseline_report,
        "failures": failures[:50],
        "failure_count": len(failures),
        "verdict": "PASS" if not failures else "FAIL",
    }
    print(json.dumps(report, ensure_ascii=False, indent=2))
    return 0 if not failures else 1


if __name__ == "__main__":
    sys.exit(main())