"""V24: the hybrids' pixel rules, the 7-frame points and the branch rule of the comparison.""" import importlib.util from pathlib import Path import numpy as np import pytest import torch from test_rgbd_stream_write_v3 import contexts from mcss.mechanism_pilot.rgbd_evidence_carrier import RGBDContext def script(name): path = Path(__file__).parents[1] / "scripts" / name spec = importlib.util.spec_from_file_location(name.replace(".py", ""), path) module = importlib.util.module_from_spec(spec) spec.loader.exec_module(module) return module def test_hybrids_take_the_harmonic_fill_on_near_and_low_opacity_pixels(): v24 = script("analyze_rgbd_stream_baselines_v24.py") near = np.array([[True, False], [False, False]]) opacity = np.array([[1.0, 0.2], [0.9, 0.6]]) harmonic = np.full((2, 2), 5.0) carrier = np.arange(4.0).reshape(2, 2) assert np.array_equal(v24.hfill(near, harmonic, carrier), [[5.0, 1.0], [2.0, 3.0]]) assert np.array_equal(v24.ahfill(near, opacity, harmonic, carrier), [[5.0, 5.0], [2.0, 3.0]]) assert v24.absrel(carrier + 1, carrier + 1, near) == 0.0 assert v24.absrel(carrier, carrier, np.zeros((2, 2), dtype=bool)) is None def test_seven_frame_points_add_the_stream_frames_to_the_context(): geo = script("run_rgbd_geometric_baselines.py") warm, stream, _, _ = contexts() seven = RGBDContext([*warm, *stream], torch.cat((warm.depths, stream.depths))) three, both = geo.context_points(warm), geo.context_points(seven) assert len(both) == len(three) + len(geo.context_points(stream)) assert torch.equal(both[: len(three)], three) def rows_for(values): rows = [] for seed in (1, 2): for i in range(8): for role in ("A", "B"): for qid in (8, 9): for policy, value in values.items(): rows.append( { "seed": seed, "cohort": "EVAL_V3", "scene_id": f"s{i}", "role": role, "query_id": qid, "policy": policy, "depth_absrel": value + 0.002 * ((i + qid + seed) % 3), } ) return rows def test_branches_follow_the_two_primary_gates(): v24 = script("analyze_rgbd_stream_baselines_v24.py") names = {name for pair in v24.CONTRASTS.values() for name in pair} base = dict.fromkeys(names, 0.25) base.update({"REPROJ7_HARMONIC": 0.20, "HFILL8_7_OFF": 0.19, "HFILL8_7_TTT_100": 0.18}) result = v24.analyze(rows_for(base), [1, 2]) assert result["INTERPRETATION_BRANCH"] == "A" assert result["contrasts"]["HYBRID_VS_MODEL_FREE"]["mean"] == pytest.approx(0.02) strong_baseline = {**base, "REPROJ7_HARMONIC": 0.17} assert v24.analyze(rows_for(strong_baseline), [1, 2])["INTERPRETATION_BRANCH"] == "B" no_write_gain = {**base, "HFILL8_7_OFF": 0.18} assert v24.analyze(rows_for(no_write_gain), [1, 2])["INTERPRETATION_BRANCH"] == "C" neither = {**no_write_gain, "REPROJ7_HARMONIC": 0.18} assert v24.analyze(rows_for(neither), [1, 2])["INTERPRETATION_BRANCH"] == "D"