"""Tests for the geometry oracle (position -> material/layer_id + escape).""" from pathlib import Path from unittest.mock import patch import numpy as np import pytest from giant import geometry as g # scikit-learn is an optional extra; skip the whole module if it's missing. pytest.importorskip("sklearn") def _box_batch(n, rng): """A labelled point cloud: inside a 100mm box -> PbWO4/0, else AIR/-1.""" pos = rng.uniform(-200, 200, (n, 3)).astype(np.float32) inside = (np.abs(pos) < 100).all(axis=1) mat = np.where(inside, "G4_PbWO4", "G4_AIR").astype(object) lay = np.where(inside, 0, -1).astype(np.int64) return pos, mat, lay def _build(subsample=30000, method="knn", escape_factor=5.0): rng = np.random.default_rng(0) batches = [_box_batch(20000, rng) for _ in range(3)] with patch.object(g, "_iter_point_batches", lambda p: iter(batches)): return g.build_geometry_oracle( [Path("x")], method=method, subsample=subsample, escape_factor=escape_factor, ) def test_classes_discovered(): orc = _build() assert set(orc.classes) == {("G4_PbWO4", 0), ("G4_AIR", -1)} def test_query_labels_inside_and_outside(): orc = _build() pos = np.array([[0.0, 0.0, 0.0], [150.0, 150.0, 150.0]]) material, layer_id, _ = orc.query(pos) assert material[0] == "G4_PbWO4" and layer_id[0] == 0 assert material[1] == "G4_AIR" and layer_id[1] == -1 def test_escape_flag_fires_far_from_data(): orc = _build() pos = np.array([[0.0, 0.0, 0.0], [1e5, 0.0, 0.0]]) _, _, escaped = orc.query(pos) assert not escaped[0] assert escaped[1] def test_query_empty(): orc = _build() material, layer_id, escaped = orc.query(np.empty((0, 3))) assert len(material) == len(layer_id) == len(escaped) == 0 def test_query_bad_shape_raises(): orc = _build() with pytest.raises(ValueError): orc.query(np.zeros((4, 2))) def test_save_load_roundtrip(tmp_path): orc = _build() p = tmp_path / "oracle.pkl" orc.save(p) loaded = g.GeometryOracle.load(p) pos = np.array([[0.0, 0.0, 0.0], [150.0, 150.0, 150.0], [1e5, 0.0, 0.0]]) m0, l0, e0 = orc.query(pos) m1, l1, e1 = loaded.query(pos) assert (m0 == m1).all() and (l0 == l1).all() and (e0 == e1).all() assert loaded.escape_threshold == orc.escape_threshold assert loaded.classes == orc.classes def test_svm_method_has_escape_tree(): orc = _build(subsample=4000, method="svm") # SVM cannot answer NN-distance, so a reference tree backs the escape test. assert orc._ref_tree is not None _, _, escaped = orc.query(np.array([[1e5, 0.0, 0.0]])) assert escaped[0]