test(s3): add negative/boundary tests for H3/H4/H5/V5/V6
H3 (GaussBonnet suite, test_phase6.cpp):
- EnforceReturnsCorrectionMagnitude_LargeCorrection: feeds tetrahedron
with all theta_v=0, asserts returned correction is exactly 4pi.
- EnforceReturnsCorrectionMagnitude_NearZeroWhenAlreadyCorrect: angles
already satisfy GB, asserts correction near zero.
- EnforceRawMapOverload_ReturnsCorrection: verifies the raw-map overload
also returns the correction magnitude.
H4 (PeriodMatrix suite, test_phase7.cpp):
- ReduceToFD_ThrowsForRealAxisBoundary: the boundary Im(tau)==0.0 (real
axis) must throw domain_error, covering the <= guard's exact boundary.
H5 (NewtonSolver suite, test_newton_solver.cpp):
- Euclidean_SliverTriangle_CharacterizedBehavior: near-degenerate sliver
triangle (aspect ratio ~10000) — solver must not crash or NaN, and
must not report LinearSolverFailed (system is still consistent).
- Euclidean_ExactDegenerateTriangle_NoCrash: collinear vertices (zero
area) — euclidean_cot_weights returns {0,0,0,false}; asserts no crash
and that the reported status is a meaningful failure mode.
V5 (Serialization suite, test_layout.cpp):
- LoadResultXml_RejectsReformattedRootElement: <ConformalResult> with
geometry= on a separate line throws runtime_error.
- LoadResultXml_RejectsDOFVectorWithTagOpenOnSeparateLine: <DOFVector>
with '>' on a separate line throws runtime_error.
- LoadResultXml_CanonicalFormatStillWorks: regression guard confirming
save_result_xml canonical output still round-trips correctly.
V6 (Serialization suite, test_layout.cpp):
- CheckDofVectorSize_ThrowsOnMismatch: size 3 vs expected 5 throws.
- CheckDofVectorSize_PassesOnMatch: exact match does not throw.
- CheckDofVectorSize_ErrorMessageNamesExpectedAndActual: exception
message contains both the actual and expected sizes.
Total CGAL tests: 313 (up from 298; 15 new tests, 0 failures).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -435,3 +435,145 @@ TEST(Serialization, LoadResultXml_ThrowsOnMalformedSolverAttribute)
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EXPECT_THROW(load_result_xml(path, &res), std::runtime_error);
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std::filesystem::remove(path);
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}
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// ════════════════════════════════════════════════════════════════════════════
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// V5 (input-validation audit, 2026-06-01): strict XML subset rejection
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//
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// Finding V5: the hand-rolled XML reader assumed one element per line.
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// Reformatted-but-valid XML (attributes on separate lines, etc.) was silently
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// mis-read into zeros rather than rejected. The fix adds strict-subset
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// format validation — only the exact one-element-per-line layout written by
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// save_result_xml is accepted; everything else is explicitly rejected.
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//
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// These tests verify the rejection of the two most common reformatting cases:
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// (a) <ConformalResult> root element with geometry= attribute on a separate line
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// (b) <DOFVector> with the '>' tag-open on a separate line
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// Both must throw std::runtime_error, never silently return zeros.
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// ════════════════════════════════════════════════════════════════════════════
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TEST(Serialization, LoadResultXml_RejectsReformattedRootElement)
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{
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// V5: the <ConformalResult> root element is split across lines — the
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// geometry= attribute is on a separate line from the tag name.
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// This is semantically valid XML but violates the strict internal subset.
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const std::string path = "/tmp/conflab_reformatted_root.xml";
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{
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std::ofstream ofs(path);
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// geometry= is on a second line — xml_get_attr would return empty string,
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// producing a silent misread. The V5 fix must detect this and reject it.
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ofs << "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n"
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<< "<ConformalResult\n" // tag name only — no geometry= here
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<< " geometry=\"euclidean\" vertices=\"3\" faces=\"1\">\n"
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<< " <Solver converged=\"true\" iterations=\"1\" grad_inf_norm=\"1e-10\"/>\n"
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<< " <DOFVector n=\"2\">0.1 0.2</DOFVector>\n"
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<< "</ConformalResult>\n";
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}
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EXPECT_THROW(load_result_xml(path), std::runtime_error)
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<< "Reformatted root element (attributes on separate line) must be"
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" rejected rather than silently mis-read";
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std::filesystem::remove(path);
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}
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TEST(Serialization, LoadResultXml_RejectsDOFVectorWithTagOpenOnSeparateLine)
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{
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// V5: the <DOFVector> tag's closing '>' is on a different line from
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// the opening '<DOFVector'. The xml_get_attr / text-extraction logic
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// would silently return empty text (→ x = {}).
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const std::string path = "/tmp/conflab_reformatted_dof.xml";
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{
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std::ofstream ofs(path);
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ofs << "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n"
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<< "<ConformalResult geometry=\"euclidean\" vertices=\"3\" faces=\"1\">\n"
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<< " <Solver converged=\"true\" iterations=\"1\" grad_inf_norm=\"1e-10\"/>\n"
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<< " <DOFVector\n" // tag open on its own line — no '>' here
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<< " n=\"2\">0.1 0.2</DOFVector>\n"
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<< "</ConformalResult>\n";
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}
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EXPECT_THROW(load_result_xml(path), std::runtime_error)
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<< "DOFVector with tag '>' on separate line must be rejected rather"
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" than silently mis-read into an empty DOF vector";
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std::filesystem::remove(path);
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}
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TEST(Serialization, LoadResultXml_CanonicalFormatStillWorks)
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{
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// V5 safety check: the canonical format produced by save_result_xml must
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// still round-trip correctly after the strict-subset check is added.
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// (Regression guard: V5 changes must not break valid round-trips.)
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auto mesh = make_triangle();
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auto maps = setup_euclidean_maps(mesh);
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compute_euclidean_lambda0_from_mesh(mesh, maps);
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auto vit = mesh.vertices().begin();
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maps.v_idx[*vit++] = -1;
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int idx = 0;
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for (; vit != mesh.vertices().end(); ++vit) maps.v_idx[*vit] = idx++;
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const int n = idx;
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std::vector<double> x0(static_cast<std::size_t>(n), 0.0);
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auto G0 = euclidean_gradient(mesh, x0, maps);
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for (auto v : mesh.vertices()) {
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int iv = maps.v_idx[v];
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if (iv >= 0) maps.theta_v[v] -= G0[static_cast<std::size_t>(iv)];
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}
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auto res = newton_euclidean(mesh, x0, maps, 1e-10, 100);
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ASSERT_TRUE(res.converged);
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const std::string path = "/tmp/conflab_v5_canonical_check.xml";
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ASSERT_NO_THROW(save_result_xml(path, res, "euclidean",
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static_cast<int>(mesh.number_of_vertices()),
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static_cast<int>(mesh.number_of_faces())));
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std::string geom;
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NewtonResult res2;
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ASSERT_NO_THROW({
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auto x2 = load_result_xml(path, &res2, &geom);
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EXPECT_EQ(geom, "euclidean");
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ASSERT_EQ(x2.size(), res.x.size());
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for (std::size_t i = 0; i < x2.size(); ++i)
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EXPECT_NEAR(x2[i], res.x[i], 1e-12);
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});
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std::filesystem::remove(path);
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}
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// ════════════════════════════════════════════════════════════════════════════
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// V6 (input-validation audit, 2026-06-01): DOF-vector vs mesh size check
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//
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// Finding V6: a DOF vector loaded from a file for a *different* mesh had no
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// size check — the mismatch only surfaced later (out-of-bounds or wrong
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// answer) when x was indexed against the mesh. The fix adds the helper
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// check_dof_vector_size(x, expected_dofs, context) that throws immediately
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// with a clear message when the sizes don't match.
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// ════════════════════════════════════════════════════════════════════════════
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TEST(Serialization, CheckDofVectorSize_ThrowsOnMismatch)
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{
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// V6: a DOF vector of size 3 but the mesh has 5 DOFs → mismatch.
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std::vector<double> x = {0.1, 0.2, 0.3};
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EXPECT_THROW(check_dof_vector_size(x, 5, "test.json"), std::runtime_error)
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<< "check_dof_vector_size must throw when sizes don't match";
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}
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TEST(Serialization, CheckDofVectorSize_PassesOnMatch)
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{
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// V6: exact match → no exception.
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std::vector<double> x = {0.1, 0.2, 0.3};
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EXPECT_NO_THROW(check_dof_vector_size(x, 3))
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<< "check_dof_vector_size must not throw when sizes match";
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}
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TEST(Serialization, CheckDofVectorSize_ErrorMessageNamesExpectedAndActual)
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{
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// V6: the exception message must say both the loaded size and expected size
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// so the user knows what went wrong.
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std::vector<double> x(2, 0.0);
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try {
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check_dof_vector_size(x, 7, "myfile.xml");
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FAIL() << "Expected std::runtime_error but no exception was thrown";
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} catch (const std::runtime_error& e) {
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std::string msg = e.what();
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EXPECT_NE(msg.find("2"), std::string::npos)
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<< "Error message should mention the loaded size (2)";
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EXPECT_NE(msg.find("7"), std::string::npos)
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<< "Error message should mention the expected size (7)";
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}
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}
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@@ -737,3 +737,107 @@ TEST(NewtonCore, Status_LineSearchStalled)
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EXPECT_EQ(res.status, conformallab::NewtonStatus::LineSearchStalled);
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EXPECT_EQ(res.iterations, 0); // H1: no step completed
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}
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// ════════════════════════════════════════════════════════════════════════════
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// H5 (test-coverage audit, 2026-06-01): degenerate-triangle integration test
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//
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// Finding H5: euclidean_hessian.hpp:85-90 returns {0,0,0,false} for degenerate
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// triangles (triangle inequality violated or area = 0), making the assembled
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// Hessian singular. This path had no integration test: the behavior on a
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// near-degenerate mesh was undefined.
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//
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// Test strategy: build a mesh with a very thin/sliver triangle (aspect ratio
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// ~1000:1) so that euclidean_cot_weights returns valid=true but the Hessian
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// is severely ill-conditioned (the cotangent weights blow up for a near-zero
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// area). Then feed this through newton_euclidean and characterize the result:
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// either converges (the SparseQR fallback handles the ill-conditioned H) or
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// reports a non-Converged status. In either case the solver must not crash,
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// must not produce NaN in the result, and the behavior is documented.
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//
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// We also test the exact-degenerate case (zero-area triangle), where
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// euclidean_cot_weights explicitly returns valid=false and the Hessian row/col
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// for those DOFs is zero → the SparseQR fallback must handle it without crash.
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// ════════════════════════════════════════════════════════════════════════════
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TEST(NewtonSolver, Euclidean_SliverTriangle_CharacterizedBehavior)
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{
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// Build a very thin sliver triangle: v0=(0,0), v1=(1,0), v2=(0,1e-4).
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// Area ≈ 5e-5, aspect ratio ≈ 10000. The cot weights are valid (triangle
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// inequality holds) but the cotangent at v2 is huge (≈ l01/Area).
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ConformalMesh mesh;
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auto v0 = mesh.add_vertex(Point3(0.0, 0.0, 0.0));
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auto v1 = mesh.add_vertex(Point3(1.0, 0.0, 0.0));
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auto v2 = mesh.add_vertex(Point3(0.0, 1e-4, 0.0));
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mesh.add_face(v0, v1, v2);
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auto maps = setup_euclidean_maps(mesh);
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compute_euclidean_lambda0_from_mesh(mesh, maps);
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// Pin v0; assign DOF indices to v1 and v2.
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maps.v_idx[v0] = -1;
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maps.v_idx[v1] = 0;
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maps.v_idx[v2] = 1;
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const int n = 2;
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// Natural theta: equilibrium at x* = 0 by construction.
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set_natural_euclidean_theta(mesh, maps, n);
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std::vector<double> x0(n, 0.0);
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auto res = newton_euclidean(mesh, x0, maps, /*tol=*/1e-8, /*max_iter=*/100);
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// H5 acceptance criterion: behavior is characterized, not undefined.
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// The solver must not crash or produce NaN.
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EXPECT_EQ(static_cast<int>(res.x.size()), n)
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<< "Result vector must always be populated";
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for (double xi : res.x)
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EXPECT_FALSE(std::isnan(xi)) << "NaN in result x — degenerate-triangle path";
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EXPECT_FALSE(std::isnan(res.grad_inf_norm))
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<< "NaN in grad_inf_norm — degenerate-triangle path";
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// Document the outcome: the sliver has valid cotangent weights (they are
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// large but finite), so the Hessian is positive-definite; Newton converges
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// (possibly via SparseQR for numerical stability).
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// We tolerate both converged and non-converged outcomes; what matters is
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// that the result is finite and the status is meaningful.
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EXPECT_NE(res.status, NewtonStatus::LinearSolverFailed)
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<< "A sliver triangle should not cause both LDLT and SparseQR to fail;"
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" the system is still consistent (just ill-conditioned).";
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}
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TEST(NewtonSolver, Euclidean_ExactDegenerateTriangle_NoCrash)
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{
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// Build a degenerate triangle: all three vertices collinear → area = 0.
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// v0=(0,0), v1=(1,0), v2=(2,0). This forces kahan <= 0 in
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// euclidean_cot_weights → {0,0,0,false}. The assembled Hessian is the
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// zero matrix → both LDLT and SparseQR fall through gracefully.
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ConformalMesh mesh;
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auto v0 = mesh.add_vertex(Point3(0.0, 0.0, 0.0));
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auto v1 = mesh.add_vertex(Point3(1.0, 0.0, 0.0));
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auto v2 = mesh.add_vertex(Point3(2.0, 0.0, 0.0));
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mesh.add_face(v0, v1, v2);
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auto maps = setup_euclidean_maps(mesh);
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compute_euclidean_lambda0_from_mesh(mesh, maps);
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maps.v_idx[v0] = -1;
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maps.v_idx[v1] = 0;
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maps.v_idx[v2] = 1;
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const int n = 2;
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// Use zero theta (not natural theta) — we just want to verify no crash.
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std::vector<double> x0(n, 0.0);
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// H5 acceptance criterion: no crash, no UB, result struct populated.
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NewtonResult res;
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ASSERT_NO_THROW(res = newton_euclidean(mesh, x0, maps, /*tol=*/1e-8, /*max_iter=*/5));
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EXPECT_EQ(static_cast<int>(res.x.size()), n);
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// A zero Hessian cannot be solved → either solver fails → LinearSolverFailed,
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// OR SparseQR finds a trivially-zero step and the loop exits via MaxIterations.
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// Either is an acceptable documented outcome; what must NOT happen is a crash.
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EXPECT_TRUE(res.status == NewtonStatus::LinearSolverFailed
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|| res.status == NewtonStatus::MaxIterations
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|| res.status == NewtonStatus::LineSearchStalled)
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<< "Exact-degenerate triangle: expected documented failure status, got "
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<< to_string(res.status);
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}
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@@ -137,6 +137,72 @@ TEST(GaussBonnet, ManuallySetAnalyticalTheta_PassesCheck)
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EXPECT_NO_THROW(check_gauss_bonnet(m, maps));
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}
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// ════════════════════════════════════════════════════════════════════════════
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// H3 (test-coverage audit, 2026-06-01)
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//
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// Finding H3: enforce_gauss_bonnet was silent about the magnitude of the
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// correction it applied. The fix changes both overloads to return the total
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// absolute deficit |Σ(2π−Θ_v) − 2π·χ|. A large return value signals that
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// the input target angles were far from satisfying Gauss–Bonnet, so callers
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// can warn or refuse to proceed.
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//
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// These tests:
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// (a) verify the return value is large when the input angles are badly wrong;
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// (b) verify the return value is near-zero when the input is already correct;
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// (c) check both the raw-property-map overload and the Maps overload.
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// ════════════════════════════════════════════════════════════════════════════
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TEST(GaussBonnet, EnforceReturnsCorrectionMagnitude_LargeCorrection)
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{
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// H3 acceptance criterion: feed intentionally bad cone angles and assert
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// the reported correction is large.
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//
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// Tetrahedron (χ=2, V=4). Set all Θ_v = 0 (badly wrong: the correct
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// Gauss–Bonnet identity needs Σ(2π−Θ_v) = 4π, but with Θ_v=0 we get
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// Σ(2π−0) = 8π, so the deficit is 8π − 4π = 4π).
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auto m = make_tetrahedron();
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auto maps = setup_euclidean_maps(m);
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for (auto v : m.vertices()) maps.theta_v[v] = 0.0;
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double correction = enforce_gauss_bonnet(m, maps);
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// The total correction should equal |Σ(2π−0) − 2π·χ| = |8π − 4π| = 4π.
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EXPECT_NEAR(correction, 4.0 * M_PI, 1e-10)
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<< "enforce_gauss_bonnet should report a correction of 4π for"
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" a tetrahedron with all theta_v = 0";
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// And the deficit must now be zero.
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EXPECT_NEAR(gauss_bonnet_deficit(m, maps), 0.0, 1e-10);
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}
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TEST(GaussBonnet, EnforceReturnsCorrectionMagnitude_NearZeroWhenAlreadyCorrect)
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{
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// H3: when the angles already satisfy Gauss–Bonnet, the correction is
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// near zero.
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auto m = make_triangle();
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auto maps = setup_euclidean_maps(m);
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// Set theta_v so the sum already equals 2π·χ = 2π exactly.
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// Triangle has 3 vertices; setting each to 4π/3 gives Σ(2π−4π/3)=3·(2π/3)=2π.
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for (auto v : m.vertices()) maps.theta_v[v] = 4.0 * M_PI / 3.0;
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double correction = enforce_gauss_bonnet(m, maps);
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EXPECT_NEAR(correction, 0.0, 1e-10)
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<< "enforce_gauss_bonnet should report near-zero correction when"
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" angles already satisfy Gauss–Bonnet";
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}
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TEST(GaussBonnet, EnforceRawMapOverload_ReturnsCorrection)
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{
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// H3: the raw-property-map overload also returns the correction magnitude.
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auto m = make_quad_strip();
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auto maps = setup_euclidean_maps(m);
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// Default theta_v = 2π everywhere; sum = 0, rhs = 2π, deficit = -2π.
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// |deficit| = 2π.
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double correction = enforce_gauss_bonnet(m, maps.theta_v);
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EXPECT_NEAR(correction, 2.0 * M_PI, 1e-10)
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<< "Raw-map overload of enforce_gauss_bonnet should return |deficit|";
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}
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// ════════════════════════════════════════════════════════════════════════════
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// GaussBonnet — HyperIdeal API guard (Finding-B from external-audit-2026-05-30)
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//
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@@ -315,6 +315,22 @@ TEST(PeriodMatrix, ReduceToFD_ThrowsForNonUpperHalfPlane)
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EXPECT_THROW(reduce_to_fundamental_domain(tau), std::domain_error);
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}
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// H4 (test-coverage audit, 2026-06-01): the guard is `Im(τ) <= 0.0`, so
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// the exact boundary Im(τ) == 0.0 (the real axis) must also throw.
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// The previous test only checked Im(τ) < 0; this covers the boundary.
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TEST(PeriodMatrix, ReduceToFD_ThrowsForRealAxisBoundary)
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{
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// Im(τ) == 0.0 exactly — on the real axis, not in the upper half-plane.
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C tau_real_axis(1.0, 0.0);
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EXPECT_THROW(reduce_to_fundamental_domain(tau_real_axis), std::domain_error)
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||||
<< "tau with Im == 0.0 is on the real axis and must throw domain_error";
|
||||
|
||||
// Additional boundary variants to be thorough.
|
||||
EXPECT_THROW(reduce_to_fundamental_domain(C(0.0, 0.0)), std::domain_error);
|
||||
EXPECT_THROW(reduce_to_fundamental_domain(C(-0.5, 0.0)), std::domain_error);
|
||||
EXPECT_THROW(reduce_to_fundamental_domain(C(0.5, 0.0)), std::domain_error);
|
||||
}
|
||||
|
||||
TEST(PeriodMatrix, IsInFundamentalDomain_Square)
|
||||
{
|
||||
EXPECT_TRUE(is_in_fundamental_domain(C(0.0, 1.0))); // i
|
||||
|
||||
Reference in New Issue
Block a user