#include #define SLIC3R_TEST_HARNESS #include "libslic3r/Point.hpp" #include "libslic3r/GCode/OrderingStrategies.hpp" #include "libslic3r/Geometry.hpp" #include #include using namespace Slic3r; // --- Helpers --- static double euclidean_path_length(const std::vector& path, const Points& centers) { return tsp_cycle_path_length(path, centers); } static bool has_crossings(const std::vector& path, const Points& centers) { size_t pn = path.size(); if (pn < 4) return false; for (size_t i = 0; i < pn; ++i) { size_t i_next = (i + 1) % pn; for (size_t j = i + 2; j < pn; ++j) { if (j == i_next) continue; if (j == (pn - 1) && i == 0) continue; size_t j_next = (j + 1) % pn; if (Geometry::segments_intersect( centers[path[i]], centers[path[i_next]], centers[path[j]], centers[path[j_next]])) { return true; } } } return false; } static bool is_permutation(const std::vector& path, size_t n) { if (path.size() != n) return false; std::unordered_set seen(path.begin(), path.end()); for (size_t i = 0; i < n; ++i) { if (seen.count(i) != 1) return false; } return true; } // --- Test fixtures --- static Points make_grid_4x4() { Points pts; for (int row = 0; row < 4; ++row) for (int col = 0; col < 4; ++col) pts.emplace_back(100000 * col, 100000 * row); return pts; } static Points make_linear_5() { Points pts; for (int i = 0; i < 5; ++i) pts.emplace_back(100000 * i, 0); return pts; } static Points make_ring_8() { Points pts; constexpr double R = 100000.0; for (int i = 0; i < 8; ++i) { double angle = 2.0 * M_PI * i / 8.0; pts.emplace_back(static_cast(R * std::cos(angle)), static_cast(R * std::sin(angle))); } return pts; } static Points make_random_16() { // Deterministic "random" points via simple hash. Points pts; for (int i = 0; i < 16; ++i) { uint32_t h = static_cast(i * 2654435761u); coord_t x = static_cast((h >> 16) & 0xFFFF) * 10; coord_t y = static_cast(h & 0xFFFF) * 10; pts.emplace_back(x, y); } return pts; } // --- TSP Post-Processing Tests --- TEST_CASE("tsp_2opt_improve reduces path length", "[TSPPostProcessing]") { Points centers = make_random_16(); std::vector path(centers.size()); // Reverse half the path to create a deliberately bad ordering. for (size_t i = 0; i < path.size(); ++i) path[i] = i; std::reverse(path.begin(), path.end() - path.size() / 2); double before = euclidean_path_length(path, centers); tsp_2opt_improve(path, centers); double after = euclidean_path_length(path, centers); REQUIRE(is_permutation(path, centers.size())); CHECK(after <= before); } TEST_CASE("tsp_remove_crossings eliminates crossings", "[TSPPostProcessing]") { Points centers = make_random_16(); std::vector path(centers.size()); for (size_t i = 0; i < path.size(); ++i) path[i] = i; // Create a crossing by reversing a middle segment. if (path.size() >= 4) { std::reverse(path.begin() + 1, path.end() - 1); } tsp_remove_crossings(path, centers); CHECK(!has_crossings(path, centers)); REQUIRE(is_permutation(path, centers.size())); } TEST_CASE("tsp_rotate_minimize_closing shortens closing edge", "[TSPPostProcessing]") { Points centers = make_random_16(); std::vector path(centers.size()); for (size_t i = 0; i < path.size(); ++i) path[i] = i; // Compute all possible closing edge lengths. size_t pn = path.size(); double min_closing2 = std::numeric_limits::max(); for (size_t start = 0; start < pn; ++start) { size_t last = (start + pn - 1) % pn; double d2 = (centers[path[start]].cast() - centers[path[last]].cast()).squaredNorm(); if (d2 < min_closing2) min_closing2 = d2; } tsp_rotate_minimize_closing(path, centers); // Closing edge should be the minimum possible. double actual_closing2 = (centers[path.front()].cast() - centers[path.back()].cast()).squaredNorm(); CHECK(actual_closing2 == min_closing2); REQUIRE(is_permutation(path, centers.size())); } TEST_CASE("tsp_cycle_path_length is correct for triangle", "[TSPPostProcessing]") { Points pts; pts.emplace_back(0, 0); pts.emplace_back(100000, 0); pts.emplace_back(50000, 86602); // equilateral ~100mm sides std::vector path = {0, 1, 2}; double len = tsp_cycle_path_length(path, pts); // Perimeter of equilateral triangle with side ~100000. REQUIRE(len > 290000); REQUIRE(len < 310000); } TEST_CASE("tsp_max_edge_length finds longest edge", "[TSPPostProcessing]") { Points pts; pts.emplace_back(0, 0); pts.emplace_back(100000, 0); pts.emplace_back(50000, 0); std::vector path = {0, 1, 2}; double mx = tsp_max_edge_length(path, pts); // Longest edge is 0->1 = 100000. CHECK(mx == Catch::Approx(100000).margin(1)); } // --- Core Strategy Tests: Empty / Small Inputs --- TEST_CASE("snake_core handles empty input", "[Snake]") { Points centers; auto path = snake_core(centers); REQUIRE(path.empty()); } TEST_CASE("snake_core handles single point", "[Snake]") { Points pts{{100, 200}}; CHECK(snake_core(pts) == std::vector{0}); } TEST_CASE("snake_core handles two points", "[Snake]") { Points pts{{100, 200}, {300, 400}}; auto p2 = snake_core(pts); REQUIRE(is_permutation(p2, 2)); } // --- Core Strategy Tests: Grid Layout --- TEST_CASE("snake produces good path on grid", "[Snake]") { Points centers = make_grid_4x4(); auto path = snake_core(centers); REQUIRE(is_permutation(path, centers.size())); CHECK(!has_crossings(path, centers)); } // --- Core Strategy Tests: Variable Row Spacing --- TEST_CASE("snake handles variable Y spacing", "[Snake]") { // Rows at Y = 0, 50, 100, 1000 (large gap between last two rows). // The adaptive row detection should identify the tight cluster (0, 50, 100) // and the isolated row (1000) without splitting them incorrectly. Points pts; pts.emplace_back(0, 0); pts.emplace_back(100000, 0); pts.emplace_back(0, 50000); pts.emplace_back(100000, 50000); pts.emplace_back(0, 100000); pts.emplace_back(100000, 100000); pts.emplace_back(0, 1000000); pts.emplace_back(100000, 1000000); auto path = snake_core(pts); REQUIRE(is_permutation(path, pts.size())); CHECK(!has_crossings(path, pts)); } // --- Core Strategy Tests: All Points Same Y --- TEST_CASE("snake handles all points on same Y", "[Snake]") { // All points share the same Y coordinate. This exercises the // division-by-zero guard (ys.size() == 1). Points pts; for (int i = 0; i < 6; ++i) pts.emplace_back(100000 * i, 50000); auto path = snake_core(pts); REQUIRE(is_permutation(path, pts.size())); } // --- Core Strategy Tests: Collinear Points --- TEST_CASE("snake_core handles collinear points", "[Snake]") { Points centers = make_linear_5(); auto p2 = snake_core(centers); REQUIRE(is_permutation(p2, centers.size())); } // --- Core Strategy Tests: Ring Layout --- TEST_CASE("snake_core produces valid paths on ring", "[Snake]") { Points centers = make_ring_8(); auto p2 = snake_core(centers); REQUIRE(is_permutation(p2, centers.size())); } // --- Core Strategy Tests: Random Layout --- TEST_CASE("snake_core produces valid paths on random input", "[Snake]") { Points centers = make_random_16(); auto p2 = snake_core(centers); REQUIRE(is_permutation(p2, centers.size())); } // --- Quality Comparison Tests --- TEST_CASE("snake has no crossings on random input", "[Snake]") { Points centers = make_random_16(); auto path = snake_core(centers); REQUIRE(is_permutation(path, centers.size())); CHECK(!has_crossings(path, centers)); } // --- Edge Cases --- TEST_CASE("snake_core handles duplicate points", "[Snake]") { Points pts; pts.emplace_back(100, 200); pts.emplace_back(100, 200); // duplicate pts.emplace_back(300, 400); auto p2 = snake_core(pts); REQUIRE(p2.size() == pts.size()); } TEST_CASE("snake_core handles three points", "[Snake]") { Points pts; pts.emplace_back(0, 0); pts.emplace_back(100000, 0); pts.emplace_back(50000, 86602); auto p2 = snake_core(pts); REQUIRE(is_permutation(p2, 3)); }