3faa272562
miniCaloSim's detector is a stack of planar layer slabs along one axis, so material/layer_id are a pure function of depth. The new "slab" method exploits this with an exact O(log #segments) binary search over depth-axis segment boundaries, instead of a nearest-neighbour search over hundreds of thousands of reference points — much cheaper per call, which matters since the oracle is queried on every autoregressive rollout step. "knn"/"svm" remain as fallbacks for non-slab geometries. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
179 lines
5.5 KiB
Python
179 lines
5.5 KiB
Python
"""Tests for the geometry oracle (position -> material/layer_id + escape)."""
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from pathlib import Path
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from unittest.mock import patch
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import numpy as np
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import pytest
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from giant import geometry as g
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# scikit-learn is an optional extra; skip the whole module if it's missing.
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pytest.importorskip("sklearn")
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def _box_batch(n, rng):
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"""A labelled point cloud: inside a 100mm box -> PbWO4/0, else AIR/-1."""
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pos = rng.uniform(-200, 200, (n, 3)).astype(np.float32)
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inside = (np.abs(pos) < 100).all(axis=1)
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mat = np.where(inside, "G4_PbWO4", "G4_AIR").astype(object)
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lay = np.where(inside, 0, -1).astype(np.int64)
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return pos, mat, lay
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def _build(subsample=30000, method="knn", escape_factor=5.0):
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rng = np.random.default_rng(0)
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batches = [_box_batch(20000, rng) for _ in range(3)]
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with patch.object(g, "_iter_point_batches", lambda p: iter(batches)):
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return g.build_geometry_oracle(
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[Path("x")],
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method=method,
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subsample=subsample,
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escape_factor=escape_factor,
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)
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def test_classes_discovered():
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orc = _build()
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assert set(orc.classes) == {("G4_PbWO4", 0), ("G4_AIR", -1)}
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def test_query_labels_inside_and_outside():
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orc = _build()
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pos = np.array([[0.0, 0.0, 0.0], [150.0, 150.0, 150.0]])
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material, layer_id, _ = orc.query(pos)
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assert material[0] == "G4_PbWO4" and layer_id[0] == 0
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assert material[1] == "G4_AIR" and layer_id[1] == -1
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def test_escape_flag_fires_far_from_data():
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orc = _build()
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pos = np.array([[0.0, 0.0, 0.0], [1e5, 0.0, 0.0]])
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_, _, escaped = orc.query(pos)
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assert not escaped[0]
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assert escaped[1]
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def test_query_empty():
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orc = _build()
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material, layer_id, escaped = orc.query(np.empty((0, 3)))
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assert len(material) == len(layer_id) == len(escaped) == 0
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def test_query_bad_shape_raises():
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orc = _build()
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with pytest.raises(ValueError):
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orc.query(np.zeros((4, 2)))
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def test_save_load_roundtrip(tmp_path):
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orc = _build()
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p = tmp_path / "oracle.pkl"
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orc.save(p)
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loaded = g.GeometryOracle.load(p)
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pos = np.array([[0.0, 0.0, 0.0], [150.0, 150.0, 150.0], [1e5, 0.0, 0.0]])
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m0, l0, e0 = orc.query(pos)
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m1, l1, e1 = loaded.query(pos)
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assert (m0 == m1).all() and (l0 == l1).all() and (e0 == e1).all()
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assert loaded.escape_threshold == orc.escape_threshold
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assert loaded.classes == orc.classes
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def test_svm_method_has_escape_tree():
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orc = _build(subsample=4000, method="svm")
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# SVM cannot answer NN-distance, so a reference tree backs the escape test.
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assert orc._ref_tree is not None
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_, _, escaped = orc.query(np.array([[1e5, 0.0, 0.0]]))
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assert escaped[0]
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def _layer_batch(n, rng):
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"""Two 100mm slabs along z (with an air gap between/around them), bounded
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to a 100x100mm transverse footprint — miniCaloSim's actual layer-stack
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shape."""
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z = rng.uniform(-20.0, 220.0, n).astype(np.float32)
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x = rng.uniform(-50.0, 50.0, n).astype(np.float32)
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y = rng.uniform(-50.0, 50.0, n).astype(np.float32)
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material = np.full(n, "G4_AIR", dtype=object)
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layer_id = np.full(n, -1, dtype=np.int64)
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in_l0 = (z >= 0.0) & (z < 100.0)
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in_l1 = (z >= 110.0) & (z < 210.0)
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material[in_l0] = "G4_PbWO4"
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layer_id[in_l0] = 0
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material[in_l1] = "G4_W"
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layer_id[in_l1] = 1
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pos = np.stack([x, y, z], axis=1)
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return pos, material, layer_id
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def _build_slab(subsample=60000, n_bins=500, escape_factor=5.0):
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rng = np.random.default_rng(0)
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batches = [_layer_batch(20000, rng) for _ in range(3)]
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with patch.object(g, "_iter_point_batches", lambda p: iter(batches)):
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return g.build_geometry_oracle(
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[Path("x")],
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method="slab",
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subsample=subsample,
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escape_factor=escape_factor,
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depth_axis=2,
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n_bins=n_bins,
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)
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def test_slab_is_default_method():
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rng = np.random.default_rng(0)
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batches = [_layer_batch(20000, rng)]
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with patch.object(g, "_iter_point_batches", lambda p: iter(batches)):
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orc = g.build_geometry_oracle([Path("x")], subsample=20000)
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assert orc.metadata["method"] == "slab"
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assert orc._slab is not None
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def test_slab_classes_discovered():
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orc = _build_slab()
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assert set(orc.classes) == {("G4_PbWO4", 0), ("G4_W", 1), ("G4_AIR", -1)}
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def test_slab_query_labels_by_depth():
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orc = _build_slab()
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pos = np.array(
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[[0.0, 0.0, 50.0], [0.0, 0.0, 105.0], [0.0, 0.0, 150.0]]
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) # layer 0, gap, layer 1
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material, layer_id, escaped = orc.query(pos)
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assert list(material) == ["G4_PbWO4", "G4_AIR", "G4_W"]
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assert list(layer_id) == [0, -1, 1]
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assert not escaped.any()
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def test_slab_escape_beyond_depth_range():
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orc = _build_slab()
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pos = np.array([[0.0, 0.0, 50.0], [0.0, 0.0, 1e5]])
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_, _, escaped = orc.query(pos)
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assert not escaped[0]
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assert escaped[1]
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def test_slab_escape_beyond_transverse_radius():
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orc = _build_slab()
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pos = np.array([[0.0, 0.0, 50.0], [1e5, 1e5, 50.0]])
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_, _, escaped = orc.query(pos)
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assert not escaped[0]
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assert escaped[1]
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def test_slab_save_load_roundtrip(tmp_path):
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orc = _build_slab()
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p = tmp_path / "slab_oracle.pkl"
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orc.save(p)
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loaded = g.GeometryOracle.load(p)
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pos = np.array(
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[[0.0, 0.0, 50.0], [0.0, 0.0, 105.0], [0.0, 0.0, 150.0], [0.0, 0.0, 1e5]]
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)
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m0, l0, e0 = orc.query(pos)
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m1, l1, e1 = loaded.query(pos)
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assert (m0 == m1).all() and (l0 == l1).all() and (e0 == e1).all()
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assert loaded.escape_threshold == orc.escape_threshold
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assert loaded._slab is not None
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