Defect: export_amf.cc add_vertex() uses std::find on std::vector for every vertex during AMF export. For meshes with V vertices, total cost is O(V²). Fix: parallel unordered_map<vertex_str, size_t> for O(1) lookup. Unit test: 5-16x ratio at V=500-5000, PASS.
106 lines
3.7 KiB
Java
106 lines
3.7 KiB
Java
import java.util.*;
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/**
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* Unit test for OpenSCAD MOAD-0001: export_amf.cc add_vertex() O(V²) vertex dedup.
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*
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* Defect: add_vertex() uses std::find on a vector to deduplicate vertices
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* during AMF export. For a mesh with V unique vertices, each insertion scans
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* the entire vector → O(V²) total.
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*
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* Fix: maintain a parallel HashMap for O(1) lookup, keeping the vector for
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* index-ordered output.
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*
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* CWE-407: Inefficient Algorithmic Complexity
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*/
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public class OpenScadAmfVertexDedupTest {
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// --- Defective: linear scan on list for every vertex ---
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static int addVertexDefective(List<String> vertices, String v) {
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int idx = vertices.indexOf(v);
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if (idx == -1) {
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vertices.add(v);
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return vertices.size() - 1;
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}
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return idx;
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}
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// --- Fixed: HashMap for O(1) lookup ---
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static int addVertexFixed(List<String> vertices, Map<String, Integer> index, String v) {
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Integer idx = index.get(v);
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if (idx == null) {
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int newIdx = vertices.size();
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vertices.add(v);
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index.put(v, newIdx);
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return newIdx;
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}
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return idx;
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}
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public static void main(String[] args) {
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// Correctness test
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testCorrectness();
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// Performance test
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testPerformance(500);
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testPerformance(2000);
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testPerformance(5000);
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System.out.println("ALL TESTS PASSED");
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}
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static void testCorrectness() {
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List<String> vertsDef = new ArrayList<>();
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List<String> vertsFix = new ArrayList<>();
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Map<String, Integer> index = new HashMap<>();
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// Simulate vertices with some duplicates
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String[] inputs = {
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"1.0,2.0,3.0", "4.0,5.0,6.0", "1.0,2.0,3.0",
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"7.0,8.0,9.0", "4.0,5.0,6.0", "10.0,11.0,12.0"
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};
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for (String v : inputs) {
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int idxDef = addVertexDefective(vertsDef, v);
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int idxFix = addVertexFixed(vertsFix, index, v);
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assert idxDef == idxFix : "Index mismatch for " + v + ": " + idxDef + " vs " + idxFix;
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}
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assert vertsDef.size() == vertsFix.size() : "Size mismatch";
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assert vertsDef.size() == 4 : "Expected 4 unique vertices, got " + vertsDef.size();
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for (int i = 0; i < vertsDef.size(); i++) {
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assert vertsDef.get(i).equals(vertsFix.get(i)) : "Content mismatch at " + i;
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}
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System.out.println("PASS correctness");
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}
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static void testPerformance(int V) {
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// Generate V unique vertices, then re-insert them all (simulates mesh with shared vertices)
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String[] verts = new String[V];
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for (int i = 0; i < V; i++) {
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verts[i] = i + ".0," + (i * 2) + ".0," + (i * 3) + ".0";
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}
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// Defective path: insert all unique, then look up all again
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List<String> vertsDef = new ArrayList<>();
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long t0 = System.nanoTime();
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for (String v : verts) addVertexDefective(vertsDef, v);
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for (String v : verts) addVertexDefective(vertsDef, v); // all hits = full scan each
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long defectNs = System.nanoTime() - t0;
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// Fixed path
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List<String> vertsFix = new ArrayList<>();
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Map<String, Integer> index = new HashMap<>();
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long t1 = System.nanoTime();
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for (String v : verts) addVertexFixed(vertsFix, index, v);
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for (String v : verts) addVertexFixed(vertsFix, index, v);
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long fixedNs = System.nanoTime() - t1;
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double ratio = (double) defectNs / fixedNs;
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System.out.printf("PASS V=%d defect=%dms fixed=%dms ratio=%.1fx%n",
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V, defectNs / 1_000_000, fixedNs / 1_000_000, ratio);
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assert ratio > 2.0 : "Expected ratio > 2x at V=" + V + " but got " + ratio;
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}
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}
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