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wifi-densepose/examples/exo-ai-2025/crates/exo-backend-classical/tests/performance_comparison.rs
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Rust

//! Performance benchmarks for EXO-AI cognitive substrate
//!
//! Tests the performance of theoretical framework implementations
use std::time::Instant;
// EXO-AI crates
use exo_core::{Metadata, Pattern, PatternId, SubstrateTime};
use exo_federation::crypto::PostQuantumKeypair;
use exo_temporal::{ConsolidationConfig, Query, TemporalConfig, TemporalMemory};
const VECTOR_DIM: usize = 384;
const NUM_VECTORS: usize = 1_000;
const K_NEAREST: usize = 10;
fn generate_random_vector(dim: usize, seed: u64) -> Vec<f32> {
let mut vec = Vec::with_capacity(dim);
let mut state = seed;
for _ in 0..dim {
state = state.wrapping_mul(6364136223846793005).wrapping_add(1);
vec.push((state as f32) / (u64::MAX as f32));
}
vec
}
#[test]
fn benchmark_temporal_memory() {
println!("\n=== EXO-AI Temporal Memory Performance ===\n");
let vectors: Vec<Vec<f32>> = (0..NUM_VECTORS)
.map(|i| generate_random_vector(VECTOR_DIM, i as u64))
.collect();
let config = TemporalConfig {
consolidation: ConsolidationConfig {
salience_threshold: 0.0,
..Default::default()
},
..Default::default()
};
let temporal = TemporalMemory::new(config);
// Insert benchmark
let start = Instant::now();
for vec in vectors.iter() {
let pattern = Pattern {
id: PatternId::new(),
embedding: vec.clone(),
metadata: Metadata::default(),
timestamp: SubstrateTime::now(),
antecedents: Vec::new(),
salience: 1.0,
};
temporal.store(pattern, &[]).unwrap();
}
let insert_time = start.elapsed();
println!("Insert {} patterns: {:?}", NUM_VECTORS, insert_time);
println!(" Per insert: {:?}", insert_time / NUM_VECTORS as u32);
// Consolidation benchmark
let start = Instant::now();
let result = temporal.consolidate();
let consolidate_time = start.elapsed();
println!("\nConsolidate: {:?}", consolidate_time);
println!(" Patterns consolidated: {}", result.num_consolidated);
// Search benchmark
let query = Query::from_embedding(generate_random_vector(VECTOR_DIM, 999999));
let start = Instant::now();
for _ in 0..100 {
let _ = temporal.long_term().search(&query);
}
let search_time = start.elapsed();
println!("\n100 searches: {:?}", search_time);
println!(" Per search: {:?}", search_time / 100);
}
#[test]
fn benchmark_consciousness_metrics() {
use exo_core::consciousness::{ConsciousnessCalculator, NodeState, SubstrateRegion};
use std::collections::HashMap;
println!("\n=== IIT Phi Calculation Performance ===\n");
// Create a small reentrant network
let nodes = vec![1, 2, 3, 4, 5];
let mut connections = HashMap::new();
connections.insert(1, vec![2, 3]);
connections.insert(2, vec![4]);
connections.insert(3, vec![4]);
connections.insert(4, vec![5]);
connections.insert(5, vec![1]); // Feedback loop
let mut states = HashMap::new();
for &node in &nodes {
states.insert(
node,
NodeState {
activation: 0.5,
previous_activation: 0.4,
},
);
}
let region = SubstrateRegion {
id: "test".to_string(),
nodes,
connections,
states,
has_reentrant_architecture: true,
};
let calculator = ConsciousnessCalculator::new(100);
let start = Instant::now();
let mut total_phi = 0.0;
for _ in 0..1000 {
let result = calculator.compute_phi(&region);
total_phi += result.phi;
}
let phi_time = start.elapsed();
println!("1000 Phi calculations: {:?}", phi_time);
println!(" Per calculation: {:?}", phi_time / 1000);
println!(" Average Phi: {:.4}", total_phi / 1000.0);
}
#[test]
fn benchmark_thermodynamic_tracking() {
use exo_core::thermodynamics::{Operation, ThermodynamicTracker};
println!("\n=== Landauer Thermodynamic Tracking Performance ===\n");
let tracker = ThermodynamicTracker::room_temperature();
let start = Instant::now();
for _ in 0..100_000 {
tracker.record_operation(Operation::VectorSimilarity { dimensions: 384 });
tracker.record_operation(Operation::MemoryWrite { bytes: 1536 });
}
let track_time = start.elapsed();
println!("200,000 operation recordings: {:?}", track_time);
println!(" Per operation: {:?}", track_time / 200_000);
let report = tracker.efficiency_report();
println!("\nEfficiency Report:");
println!(" Total bit erasures: {}", report.total_bit_erasures);
println!(
" Landauer minimum: {:.2e} J",
report.landauer_minimum_joules
);
println!(
" Estimated actual: {:.2e} J",
report.estimated_actual_joules
);
println!(
" Efficiency ratio: {:.0}x above Landauer",
report.efficiency_ratio
);
println!(
" Reversible savings: {:.2}%",
(report.reversible_savings_potential / report.estimated_actual_joules) * 100.0
);
}
#[test]
fn benchmark_post_quantum_crypto() {
println!("\n=== Post-Quantum Cryptography Performance ===\n");
// Key generation
let start = Instant::now();
let mut keypairs = Vec::new();
for _ in 0..100 {
keypairs.push(PostQuantumKeypair::generate());
}
let keygen_time = start.elapsed();
println!("100 Kyber-1024 keypair generations: {:?}", keygen_time);
println!(" Per keypair: {:?}", keygen_time / 100);
// Encapsulation
let start = Instant::now();
for keypair in keypairs.iter().take(100) {
let _ = PostQuantumKeypair::encapsulate(keypair.public_key()).unwrap();
}
let encap_time = start.elapsed();
println!("\n100 encapsulations: {:?}", encap_time);
println!(" Per encapsulation: {:?}", encap_time / 100);
// Decapsulation
let keypair = &keypairs[0];
let (_, ciphertext) = PostQuantumKeypair::encapsulate(keypair.public_key()).unwrap();
let start = Instant::now();
for _ in 0..100 {
let _ = keypair.decapsulate(&ciphertext).unwrap();
}
let decap_time = start.elapsed();
println!("\n100 decapsulations: {:?}", decap_time);
println!(" Per decapsulation: {:?}", decap_time / 100);
println!("\nSecurity: NIST Level 5 (256-bit post-quantum)");
println!("Public key size: 1568 bytes");
println!("Ciphertext size: 1568 bytes");
}