quantrs2_device/quantum_network/network_optimization/
functions.rs

1//! Auto-generated module
2//!
3//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
4
5use async_trait::async_trait;
6use chrono::{DateTime, Datelike, Duration as ChronoDuration, Timelike, Utc};
7use serde::{Deserialize, Serialize};
8use std::collections::{BTreeMap, HashMap, VecDeque};
9use std::sync::{Arc, Mutex, RwLock};
10use std::time::Duration;
11use thiserror::Error;
12use tokio::sync::{mpsc, Semaphore};
13use uuid::Uuid;
14
15use crate::quantum_network::distributed_protocols::{
16    NodeId, NodeInfo, PerformanceHistory, PerformanceMetrics, TrainingDataPoint,
17};
18
19use super::type_definitions::*;
20
21/// Example usage and integration test
22#[cfg(test)]
23mod tests {
24    use super::*;
25    #[tokio::test]
26    async fn test_ml_network_optimizer() {
27        let optimizer = MLNetworkOptimizer::new();
28        let network_state = NetworkState {
29            nodes: HashMap::new(),
30            topology: NetworkTopology {
31                nodes: vec![],
32                edges: vec![],
33                edge_weights: HashMap::new(),
34                clustering_coefficient: 0.5,
35                diameter: 5,
36            },
37            performance_metrics: HashMap::new(),
38            load_metrics: HashMap::new(),
39            entanglement_quality: HashMap::new(),
40            centrality_measures: HashMap::new(),
41        };
42        let objectives = vec![
43            OptimizationObjective::MinimizeLatency { weight: 1.0 },
44            OptimizationObjective::MaximizeThroughput { weight: 0.8 },
45            OptimizationObjective::MaximizeFidelity { weight: 0.9 },
46        ];
47        let result = optimizer
48            .optimize_network_performance(&network_state, &objectives)
49            .await;
50        assert!(result.is_ok());
51        let optimization_result =
52            result.expect("Network optimization should succeed with valid input");
53        assert!(optimization_result.overall_improvement_estimate > 0.0);
54    }
55    #[tokio::test]
56    async fn test_quantum_traffic_shaper() {
57        let shaper = QuantumTrafficShaper::new();
58        let predictions = OptimizationPredictions {
59            performance_improvement: 0.3,
60            implementation_steps: vec![],
61            target_nodes: vec![],
62            critical_weight: 1.0,
63            entanglement_weight: 0.9,
64            operations_weight: 0.8,
65            error_correction_weight: 0.7,
66            classical_weight: 0.6,
67            background_weight: 0.3,
68            best_effort_weight: 0.1,
69            critical_queue_size_ratio: 0.4,
70            entanglement_queue_size_ratio: 0.3,
71            operations_queue_size_ratio: 0.15,
72            error_correction_queue_size_ratio: 0.08,
73            classical_queue_size_ratio: 0.04,
74            background_queue_size_ratio: 0.02,
75            best_effort_queue_size_ratio: 0.01,
76            critical_service_rate: 1000.0,
77            entanglement_service_rate: 800.0,
78            operations_service_rate: 600.0,
79            error_correction_service_rate: 400.0,
80            classical_service_rate: 200.0,
81            background_service_rate: 100.0,
82            best_effort_service_rate: 50.0,
83            critical_coherence_threshold: 0.001,
84            entanglement_red_min: 0.7,
85            entanglement_red_max: 0.9,
86            optimal_initial_window: 10.0,
87            optimal_max_window: 1000.0,
88            optimal_backoff_factor: 0.5,
89            optimal_rtt_smoothing: 0.125,
90        };
91        let result = shaper.optimize_traffic_flow(&predictions).await;
92        assert!(result.is_ok());
93        let traffic_result = result.expect("Traffic shaping should succeed with valid predictions");
94        assert_eq!(traffic_result.new_priority_weights.len(), 7);
95        assert!(
96            traffic_result.new_priority_weights[&Priority::CriticalQuantumState]
97                >= traffic_result.new_priority_weights[&Priority::BestEffort]
98        );
99    }
100}