Merge pull request 'feat(geometry): pn_geometry.hpp — Pn projective-metric substrate (jReality port)' (#30) from feat/lawson-hyperideal-golden into main
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@@ -86,6 +86,10 @@ add_executable(conformallab_cgal_tests
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# newton_inversive_distance (FD Hessian).
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test_newton_phase9a.cpp
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# ── Tier-3 Java cross-validation: Lawson square-tiled HyperIdeal ─────────
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# Low-level half-edge genus-2 generator + golden-vector convergence.
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test_lawson_hyperideal.cpp
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# ── Phase 8b-Lite: CGAL entry wrappers for the 4 non-Euclidean modes ─────
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# Spherical, HyperIdeal, CircleP-Euclidean, Inversive-Distance via
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# <CGAL/Discrete_*.h> public API + Conformal_layout.h wrapper.
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257
code/tests/cgal/test_lawson_hyperideal.cpp
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257
code/tests/cgal/test_lawson_hyperideal.cpp
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// Copyright (c) 2024-2026 Tarik Moussa.
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// SPDX-License-Identifier: MIT
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// test_lawson_hyperideal.cpp
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//
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// Tier-3 Java cross-validation: HyperIdealConvergenceTest (Lawson square-tiled).
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//
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// Ports de.varylab.discreteconformal.functional.HyperIdealGenerator. The base is
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// a genus-2 surface with 4 vertices and 12 edges → MULTI-EDGES (≥2 edges per
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// vertex pair), so CGAL add_face/OFF/polygon-soup cannot build it; we use the
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// low-level Surface_mesh half-edge API directly.
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//
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// Variants ported (vs HyperIdealConvergenceTest golden vectors):
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// 1. createLawsonSquareTiled() → diagonal triangulation
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// 2. createLawsonSquareTiledWithBranchPoints() → stellar subdivision + ideal
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// branch-point centres
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//
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// NOT ported — createLawsonHyperelliptic(): loads `lawson_curve_source.xml`
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// (a Java conformal-data HalfedgeEmbedding, not OBJ/OFF) and derives θ via
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// HyperIdealHyperellipticUtility.calculateCircleIntersections. It needs a reader
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// for that XML format + a port of that utility, and its golden vector is not
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// class-symmetric (mixed ±values), so the symmetry shortcut does not apply.
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// Deferred as its own task; see doc/reviewer/java-ignore-crossvalidation.md.
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#include "conformal_mesh.hpp"
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#include "hyper_ideal_functional.hpp"
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#include "newton_solver.hpp"
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#include <CGAL/Polygon_mesh_processing/triangulate_faces.h>
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#include <CGAL/boost/graph/Euler_operations.h>
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#include <gtest/gtest.h>
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#include <array>
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#include <vector>
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#include <set>
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#include <cmath>
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using namespace conformallab;
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namespace {
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// Build the Lawson square-tiled BASE (4 vertices, 12 edges, 6 quad faces,
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// genus 2) via the low-level half-edge API — multi-edges (≥2 edges per vertex
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// pair) make add_face/OFF/polygon-soup impossible. Returns the 4 original
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// vertices in `V`. Not yet triangulated.
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void build_lawson_base(ConformalMesh& m, std::array<Vertex_index, 4>& V)
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{
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V = {
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m.add_vertex(Point3(0, 0, 0)), // A
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m.add_vertex(Point3(1, 0, 0)), // B
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m.add_vertex(Point3(0, 1, 0)), // C
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m.add_vertex(Point3(0, 0, 1)) // D
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};
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// Java half-edge target vertices (A=0,B=1,C=2,D=3), indices 0..23.
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const int tgt[24] = {
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0,1,3,2, 1,0,2,3, 3,2,0,1, 2,3,1,0, 0,1,3,2, 1,0,2,3
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};
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const int pairs[12][2] = { // Java linkOppositeEdge
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{0,6},{1,21},{2,4},{3,23},{5,11},{7,9},
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{8,14},{10,12},{13,19},{15,17},{16,22},{18,20}
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};
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const int cyc[6][4] = { // Java next-edge cycles → 6 quads
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{0,1,2,3},{4,5,6,7},{8,9,10,11},{12,13,14,15},{16,17,18,19},{20,21,22,23}
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};
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std::array<Halfedge_index, 24> he;
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for (const auto& p : pairs) {
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Halfedge_index h = m.add_edge();
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he[static_cast<std::size_t>(p[0])] = h;
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he[static_cast<std::size_t>(p[1])] = m.opposite(h);
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}
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for (int j = 0; j < 24; ++j)
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m.set_target(he[static_cast<std::size_t>(j)], V[static_cast<std::size_t>(tgt[j])]);
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for (const auto& c : cyc) {
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Face_index f = m.add_face();
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m.set_halfedge(f, he[static_cast<std::size_t>(c[0])]);
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for (int k = 0; k < 4; ++k) {
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m.set_face(he[static_cast<std::size_t>(c[k])], f);
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m.set_next(he[static_cast<std::size_t>(c[k])],
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he[static_cast<std::size_t>(c[(k + 1) % 4])]);
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}
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}
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for (int j = 0; j < 24; ++j)
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m.set_halfedge(V[static_cast<std::size_t>(tgt[j])], he[static_cast<std::size_t>(j)]);
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}
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// Plain Lawson: base + diagonal triangulation (6 quads → 12 triangles).
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// `original_edges` receives the 12 base edges (the 6 diagonals are "aux").
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ConformalMesh make_lawson_square_tiled(std::set<Edge_index>* original_edges = nullptr)
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{
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ConformalMesh m;
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std::array<Vertex_index, 4> V;
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build_lawson_base(m, V);
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if (original_edges) {
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original_edges->clear();
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for (auto e : m.edges()) original_edges->insert(e);
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}
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CGAL::Polygon_mesh_processing::triangulate_faces(m);
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return m;
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}
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// Branch-points Lawson: base + STELLAR subdivision (Java StellarLinear) — a
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// center vertex per quad fan-connected to its 4 corners (6 ideal "branch"
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// centers, 24 triangles, 36 edges). `orig_verts` = the 4 real vertices;
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// `base_edges` = the 12 base edges (θ=π); the 24 spokes are θ=π/2.
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ConformalMesh make_lawson_branch_points(std::array<Vertex_index, 4>& orig_verts,
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std::set<Edge_index>& base_edges)
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{
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ConformalMesh m;
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build_lawson_base(m, orig_verts);
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base_edges.clear();
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for (auto e : m.edges()) base_edges.insert(e);
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// Stellar-subdivide each of the 6 quads (collect halfedges first; the loop
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// mutates the mesh).
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std::vector<Halfedge_index> face_he;
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for (auto f : m.faces()) face_he.push_back(m.halfedge(f));
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for (auto h : face_he)
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CGAL::Euler::add_center_vertex(h, m);
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return m;
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}
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} // namespace
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TEST(LawsonHyperIdeal, BuildsValidGenus2Mesh)
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{
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std::set<Edge_index> original;
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ConformalMesh m = make_lawson_square_tiled(&original);
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EXPECT_TRUE(m.is_valid(false)) << "Lawson square-tiled mesh is not a valid halfedge structure";
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EXPECT_EQ(m.number_of_vertices(), 4u);
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EXPECT_EQ(m.number_of_faces(), 12u); // 6 quads → 12 triangles
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EXPECT_EQ(m.number_of_edges(), 18u); // 12 original + 6 diagonals
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EXPECT_EQ(original.size(), 12u);
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// Euler characteristic χ = V − E + F = 4 − 18 + 12 = −2 ⇒ genus 2.
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const int chi = static_cast<int>(m.number_of_vertices())
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- static_cast<int>(m.number_of_edges())
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+ static_cast<int>(m.number_of_faces());
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EXPECT_EQ(chi, -2) << "expected genus 2 (χ = −2), got χ = " << chi;
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}
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// ════════════════════════════════════════════════════════════════════════════
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// Golden-vector cross-validation against Java HyperIdealConvergenceTest
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//
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// Java sets Θ_v = 2π (vertices), θ_e = π/2 (the 12 original edges) and θ_e = π
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// (the 6 triangulation/aux edges), then solves with TAO/BLMVM and asserts the
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// converged solution vector. The solution is perfectly symmetric:
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// vertices (×4) → 1.1462158341786262
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// original edges (×12) → 1.7627471737467797
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// aux/diagonal edges (×6) → 2.633915794495759
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// We assert membership in these three classes (robust to DOF ordering, which
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// differs between Java and CGAL).
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// ════════════════════════════════════════════════════════════════════════════
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TEST(LawsonHyperIdeal, ConvergenceGoldenVector_JavaXVal)
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{
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std::set<Edge_index> original;
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ConformalMesh m = make_lawson_square_tiled(&original);
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HyperIdealMaps maps = setup_hyper_ideal_maps(m); // Θ_v=2π, θ_e=π
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const int n = assign_all_dof_indices(m, maps); // all vertices + edges
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ASSERT_EQ(n, 4 + 18); // 4 b + 18 a = 22 DOFs
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// θ_e = π/2 for the 12 original edges; the 6 diagonals keep the default π.
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for (auto e : m.edges())
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if (original.count(e)) maps.theta_e[e] = PI / 2.0;
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// Solve from a positive interior point (HyperIdeal variables b,a > 0).
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std::vector<double> x0(static_cast<std::size_t>(n), 1.0);
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auto res = newton_hyper_ideal(m, x0, maps, /*tol=*/1e-10, /*max_iter=*/200);
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ASSERT_TRUE(res.converged)
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<< "HyperIdeal Newton did not converge; ||G||=" << res.grad_inf_norm;
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constexpr double b_gold = 1.1462158341786262;
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constexpr double a_orig_gold = 1.7627471737467797;
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constexpr double a_aux_gold = 2.633915794495759;
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const double tol = 1e-5;
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for (auto v : m.vertices()) {
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const int iv = maps.v_idx[v];
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ASSERT_GE(iv, 0);
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EXPECT_NEAR(res.x[static_cast<std::size_t>(iv)], b_gold, tol)
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<< "vertex DOF " << iv << " off golden b";
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}
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for (auto e : m.edges()) {
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const int ie = maps.e_idx[e];
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ASSERT_GE(ie, 0);
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const double gold = original.count(e) ? a_orig_gold : a_aux_gold;
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EXPECT_NEAR(res.x[static_cast<std::size_t>(ie)], gold, tol)
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<< "edge DOF " << ie << " off golden a ("
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<< (original.count(e) ? "original π/2" : "aux π") << ")";
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}
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}
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// ════════════════════════════════════════════════════════════════════════════
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// Branch-points variant — Java HyperIdealConvergenceTest...WithBranchPoints
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//
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// Java applies StellarLinear (stellar subdivision: a center vertex per quad) to
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// the base, makes the 4 original vertices variable and the 6 centers IDEAL
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// (b = 0, solver index −1), with Θ_v = 2π, θ_e = π on the 12 base edges and
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// θ_e = π/2 on the 24 spokes. The converged solution (symmetric per class):
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// original vertices (×4) → 1.3169579…
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// base edges (×12) → 2.2924317…
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// spoke edges (×24) → 0 (the π/2 spokes collapse to ideal)
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// ════════════════════════════════════════════════════════════════════════════
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TEST(LawsonHyperIdeal, BranchPointsGoldenVector_JavaXVal)
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{
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std::array<Vertex_index, 4> orig;
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std::set<Edge_index> base;
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ConformalMesh m = make_lawson_branch_points(orig, base);
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EXPECT_TRUE(m.is_valid(false));
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EXPECT_EQ(m.number_of_vertices(), 10u); // 4 original + 6 stellar centers
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EXPECT_EQ(m.number_of_faces(), 24u); // 6 quads × 4
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EXPECT_EQ(m.number_of_edges(), 36u); // 12 base + 24 spokes
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EXPECT_EQ(base.size(), 12u);
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HyperIdealMaps maps = setup_hyper_ideal_maps(m); // Θ_v=2π, θ_e=π
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const std::set<Vertex_index> origset(orig.begin(), orig.end());
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// 4 original vertices variable; 6 centers ideal (−1); all 36 edges variable.
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int idx = 0;
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for (auto v : m.vertices()) maps.v_idx[v] = origset.count(v) ? idx++ : -1;
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for (auto e : m.edges()) maps.e_idx[e] = idx++;
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const int n = idx;
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ASSERT_EQ(n, 4 + 36);
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// θ_e = π/2 on the 24 spokes (base edges keep the default π).
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for (auto e : m.edges())
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if (!base.count(e)) maps.theta_e[e] = PI / 2.0;
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std::vector<double> x0(static_cast<std::size_t>(n), 1.0);
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auto res = newton_hyper_ideal(m, x0, maps, /*tol=*/1e-10, /*max_iter=*/300);
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ASSERT_TRUE(res.converged)
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<< "branch-points Newton did not converge; ||G||=" << res.grad_inf_norm;
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constexpr double b_gold = 1.3169579;
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constexpr double a_base_gold = 2.2924317;
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constexpr double a_spoke_gold = 0.0;
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const double tol = 1e-4; // golden per-class spread is ~1e-7
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for (auto v : m.vertices()) {
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const int iv = maps.v_idx[v];
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if (iv < 0) continue; // ideal centers
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EXPECT_NEAR(res.x[static_cast<std::size_t>(iv)], b_gold, tol)
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<< "branch-points vertex DOF " << iv << " off golden b";
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}
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for (auto e : m.edges()) {
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const int ie = maps.e_idx[e];
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const double gold = base.count(e) ? a_base_gold : a_spoke_gold;
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EXPECT_NEAR(res.x[static_cast<std::size_t>(ie)], gold, tol)
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<< "branch-points edge DOF " << ie << " off golden a ("
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<< (base.count(e) ? "base π" : "spoke π/2") << ")";
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}
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}
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