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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2026-05-30 15:21:38 +00:00
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@@ -86,6 +86,10 @@ add_executable(conformallab_cgal_tests
# newton_inversive_distance (FD Hessian).
test_newton_phase9a.cpp
# ── Tier-3 Java cross-validation: Lawson square-tiled HyperIdeal ─────────
# Low-level half-edge genus-2 generator + golden-vector convergence.
test_lawson_hyperideal.cpp
# ── Phase 8b-Lite: CGAL entry wrappers for the 4 non-Euclidean modes ─────
# Spherical, HyperIdeal, CircleP-Euclidean, Inversive-Distance via
# <CGAL/Discrete_*.h> public API + Conformal_layout.h wrapper.

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