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wifi-densepose/examples/exo-ai-2025/tests/manifold_hypergraph_test.rs
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Rust

//! Integration tests: Manifold Engine + Hypergraph Substrate
#[cfg(test)]
mod manifold_hypergraph_integration {
use super::*;
// use exo_manifold::*;
// use exo_hypergraph::*;
// use exo_backend_classical::ClassicalBackend;
#[test]
fn test_manifold_with_hypergraph_structure() {
// Test querying manifold with hypergraph topological constraints
// let backend = ClassicalBackend::new(config);
// let mut manifold = ManifoldEngine::new(backend.clone());
// let mut hypergraph = HypergraphSubstrate::new(backend);
//
// // Store patterns in manifold
// let p1 = manifold.deform(pattern1, 0.8);
// let p2 = manifold.deform(pattern2, 0.7);
// let p3 = manifold.deform(pattern3, 0.9);
//
// // Create hyperedges linking patterns
// let relation = Relation::new("semantic_cluster");
// hypergraph.create_hyperedge(&[p1, p2, p3], &relation).unwrap();
//
// // Query manifold and verify hypergraph structure
// let results = manifold.retrieve(query, 10);
//
// // Verify results respect hypergraph topology
// for result in results {
// let edges = hypergraph.hyperedges_containing(result.id);
// assert!(!edges.is_empty()); // Should be connected
// }
}
#[test]
fn test_persistent_homology_on_manifold() {
// Test computing persistent homology on learned manifold
// let manifold = setup_manifold_with_patterns();
// let hypergraph = setup_hypergraph_from_manifold(&manifold);
//
// let diagram = hypergraph.persistent_homology(1, (0.0, 1.0));
//
// // Verify topological features detected
// assert!(diagram.num_features() > 0);
}
#[test]
fn test_hypergraph_guided_retrieval() {
// Test using hypergraph structure to guide manifold retrieval
// Retrieve patterns, then expand via hyperedge traversal
}
}