use std::collections::HashMap;
use std::sync::{Arc, RwLock};
use std::time::{Duration, Instant, SystemTime};
use crate::{DeviceError, DeviceResult};
use super::types::*;
impl Default for ComparisonConfig {
fn default() -> Self {
Self {
auto_benchmarking: true,
benchmark_frequency: Duration::from_secs(3600), enable_performance_tracking: true,
enable_ml_recommendations: true,
max_benchmark_time: Duration::from_secs(300), benchmark_configs: vec![BenchmarkConfig::default()],
comparison_criteria: ComparisonCriteria::default(),
resource_monitoring: ResourceMonitoringConfig {
monitor_cpu: true,
monitor_memory: true,
monitor_disk: true,
monitor_network: false,
monitor_gpu: true,
monitoring_frequency: Duration::from_secs(1),
},
reporting_config: ReportingConfig {
output_formats: vec![OutputFormat::JSON, OutputFormat::CSV],
detail_level: ReportDetailLevel::Standard,
include_charts: true,
export_raw_data: false,
comparison_tables: true,
},
}
}
}
impl Default for ComparisonCriteria {
fn default() -> Self {
Self {
speed_weight: 0.3,
accuracy_weight: 0.25,
memory_weight: 0.15,
scalability_weight: 0.15,
features_weight: 0.1,
stability_weight: 0.05,
min_accuracy: 0.95,
max_memory_usage: 16384.0, required_features: vec![
SimulatorFeature::StateVectorSimulation,
SimulatorFeature::NoiseModeling,
],
preferred_types: vec![SimulatorType::StateVector, SimulatorType::DensityMatrix],
}
}
}
impl SimulatorComparisonFramework {
pub fn new(config: ComparisonConfig) -> Self {
Self {
config,
simulators: Arc::new(RwLock::new(HashMap::new())),
benchmark_suite: Arc::new(RwLock::new(BenchmarkSuite::new())),
results_cache: Arc::new(RwLock::new(HashMap::new())),
analytics: Arc::new(RwLock::new(PerformanceAnalytics::new())),
recommendation_engine: Arc::new(RwLock::new(RecommendationEngine::new())),
executor: Arc::new(RwLock::new(BenchmarkExecutor::new())),
}
}
pub fn register_simulator(&self, profile: SimulatorProfile) -> DeviceResult<()> {
let mut simulators = self.simulators.write().unwrap_or_else(|e| e.into_inner());
simulators.insert(profile.simulator_id.clone(), profile);
Ok(())
}
pub async fn run_comparison(
&self,
simulator_ids: Vec<String>,
) -> DeviceResult<ComparisonResult> {
Ok(ComparisonResult {
timestamp: SystemTime::now(),
simulators: simulator_ids,
overall_rankings: vec![],
category_rankings: HashMap::new(),
detailed_metrics: HashMap::new(),
performance_analysis: PerformanceAnalysis {
best_performers: HashMap::new(),
trends: HashMap::new(),
correlations: HashMap::new(),
outliers: vec![],
scaling_analysis: ScalingAnalysis {
qubit_scaling: HashMap::new(),
depth_scaling: HashMap::new(),
memory_scaling: HashMap::new(),
predictions: HashMap::new(),
},
},
recommendations: vec![],
statistical_analysis: StatisticalAnalysis {
anova_results: HashMap::new(),
correlationmatrix: HashMap::new(),
significance_tests: HashMap::new(),
effect_sizes: HashMap::new(),
confidence_intervals: HashMap::new(),
},
})
}
pub async fn get_recommendations(
&self,
context: RecommendationContext,
) -> DeviceResult<Vec<Recommendation>> {
let engine = self
.recommendation_engine
.read()
.unwrap_or_else(|e| e.into_inner());
engine.get_recommendations(&context)
}
pub fn get_rankings(&self, criteria: Option<ComparisonCriteria>) -> Vec<SimulatorRanking> {
vec![]
}
pub fn export_results(
&self,
result: &ComparisonResult,
format: OutputFormat,
path: &str,
) -> DeviceResult<()> {
Ok(())
}
}
impl BenchmarkSuite {
pub fn new() -> Self {
Self {
benchmarks: vec![],
config: BenchmarkSuiteConfig {
parallel_execution: true,
resource_monitoring: true,
detailed_logging: true,
result_caching: true,
reference_comparison: true,
},
reference_results: HashMap::new(),
}
}
}
impl PerformanceAnalytics {
pub fn new() -> Self {
Self {
historical_data: vec![],
trends: HashMap::new(),
prediction_models: HashMap::new(),
anomaly_detector: Box::new(SimpleAnomalyDetector::new()),
}
}
}
impl RecommendationEngine {
pub fn new() -> Self {
Self {
feature_extractors: vec![],
models: HashMap::new(),
training_data: vec![],
model_metrics: HashMap::new(),
}
}
pub fn get_recommendations(
&self,
context: &RecommendationContext,
) -> DeviceResult<Vec<Recommendation>> {
Ok(vec![Recommendation {
recommendation_type: RecommendationType::BestOverall,
simulator_id: "default_simulator".to_string(),
use_case: "General purpose quantum simulation".to_string(),
confidence: 0.8,
reasoning: "Best balance of performance and accuracy".to_string(),
alternatives: vec!["alternative_simulator".to_string()],
}])
}
}
impl BenchmarkExecutor {
pub fn new() -> Self {
Self {
config: ExecutorConfig {
max_parallel: 4,
benchmark_timeout: Duration::from_secs(300),
retry_on_failure: true,
max_retries: 3,
isolation_mode: IsolationMode::Process,
},
resource_monitor: ResourceMonitor::new(),
result_collector: ResultCollector::new(),
execution_pool: None,
}
}
}
impl ResourceMonitor {
pub fn new() -> Self {
Self {
monitoring_channels: vec![],
current_measurements: Arc::new(RwLock::new(ResourceMeasurements {
cpu_usage: 0.0,
memory_usage: 0.0,
gpu_usage: None,
disk_io_rate: 0.0,
network_io_rate: 0.0,
temperature: None,
})),
historical_measurements: vec![],
}
}
}
impl ResultCollector {
pub fn new() -> Self {
Self {
results: Arc::new(RwLock::new(HashMap::new())),
processing_pipeline: vec![],
export_handlers: HashMap::new(),
}
}
}
#[derive(Debug)]
pub struct SimpleAnomalyDetector {
threshold: f64,
}
impl SimpleAnomalyDetector {
pub fn new() -> Self {
Self { threshold: 2.0 }
}
}
impl AnomalyDetector for SimpleAnomalyDetector {
fn detect_anomalies(&self, data: &[f64]) -> Vec<usize> {
if data.len() < 3 {
return vec![];
}
let mean = data.iter().sum::<f64>() / data.len() as f64;
let variance =
data.iter().map(|x| (x - mean).powi(2)).sum::<f64>() / (data.len() - 1) as f64;
let std_dev = variance.sqrt();
data.iter()
.enumerate()
.filter_map(|(i, &value)| {
if (value - mean).abs() > self.threshold * std_dev {
Some(i)
} else {
None
}
})
.collect()
}
fn update(&mut self, _data: &[f64]) {
}
fn threshold(&self) -> f64 {
self.threshold
}
}
pub fn create_simulator_comparison_framework() -> SimulatorComparisonFramework {
SimulatorComparisonFramework::new(ComparisonConfig::default())
}
pub fn create_high_performance_comparison_config() -> ComparisonConfig {
ComparisonConfig {
auto_benchmarking: true,
benchmark_frequency: Duration::from_secs(1800), enable_performance_tracking: true,
enable_ml_recommendations: true,
max_benchmark_time: Duration::from_secs(600), benchmark_configs: vec![
BenchmarkConfig {
name: "Performance Suite".to_string(),
enabled: true,
},
BenchmarkConfig {
name: "Accuracy Suite".to_string(),
enabled: true,
},
BenchmarkConfig {
name: "Scalability Suite".to_string(),
enabled: true,
},
],
comparison_criteria: ComparisonCriteria {
speed_weight: 0.4,
accuracy_weight: 0.3,
memory_weight: 0.1,
scalability_weight: 0.1,
features_weight: 0.05,
stability_weight: 0.05,
min_accuracy: 0.99,
max_memory_usage: 32768.0, required_features: vec![
SimulatorFeature::StateVectorSimulation,
SimulatorFeature::DensityMatrixSimulation,
SimulatorFeature::NoiseModeling,
SimulatorFeature::ErrorCorrection,
SimulatorFeature::GPUAcceleration,
],
preferred_types: vec![
SimulatorType::StateVector,
SimulatorType::DensityMatrix,
SimulatorType::TensorNetwork,
],
},
resource_monitoring: ResourceMonitoringConfig {
monitor_cpu: true,
monitor_memory: true,
monitor_disk: true,
monitor_network: true,
monitor_gpu: true,
monitoring_frequency: Duration::from_millis(500),
},
reporting_config: ReportingConfig {
output_formats: vec![OutputFormat::JSON, OutputFormat::HDF5, OutputFormat::CSV],
detail_level: ReportDetailLevel::Comprehensive,
include_charts: true,
export_raw_data: true,
comparison_tables: true,
},
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_framework_creation() {
let framework = create_simulator_comparison_framework();
assert!(framework
.simulators
.read()
.expect("RwLock should not be poisoned")
.is_empty());
}
#[test]
fn test_simulator_registration() {
let framework = create_simulator_comparison_framework();
let simulator = SimulatorProfile {
simulator_id: "test_simulator".to_string(),
name: "Test Simulator".to_string(),
version: "1.0.0".to_string(),
simulator_type: SimulatorType::StateVector,
features: vec![SimulatorFeature::StateVectorSimulation],
specifications: SimulatorSpecs {
max_qubits: 20,
max_circuit_depth: 1000,
supported_gates: vec!["H".to_string(), "CNOT".to_string()],
precision: 64,
memory_architecture: MemoryArchitecture::SingleNode,
parallelization: ParallelizationSupport {
threading: true,
multiprocessing: false,
gpu_acceleration: false,
distributed: false,
vectorization: true,
},
hardware_acceleration: vec![HardwareAcceleration::CPU],
},
capabilities: SimulatorCapabilities {
noise_modeling: NoiseModelingCapabilities {
noise_models: vec![NoiseModel::Depolarizing],
custom_noise: false,
correlated_noise: false,
time_dependent_noise: false,
device_noise_profiles: false,
},
measurement_capabilities: MeasurementCapabilities {
computational_basis: true,
pauli_measurements: false,
povm_measurements: false,
weak_measurements: false,
mid_circuit_measurements: false,
conditional_operations: false,
},
optimization_capabilities: OptimizationCapabilities {
circuit_optimization: true,
memory_optimization: false,
execution_optimization: true,
parallel_optimization: false,
custom_algorithms: vec![],
},
analysis_capabilities: AnalysisCapabilities {
state_analysis: true,
entanglement_analysis: false,
fidelity_calculations: true,
process_tomography: false,
statistical_analysis: false,
visualization: false,
},
export_capabilities: ExportCapabilities {
output_formats: vec![OutputFormat::JSON],
data_streaming: false,
realtime_export: false,
compression: false,
},
},
performance_profile: PerformanceProfile {
speed_profile: SpeedProfile {
initialization_time: Duration::from_millis(100),
gate_execution_rate: 1000.0,
compilation_time: Duration::from_millis(50),
measurement_time: Duration::from_millis(10),
time_complexity: ComplexityScaling::Exponential,
},
memory_profile: MemoryProfile {
base_memory: 100.0,
memory_per_qubit: 64.0,
peak_memory: 2048.0,
memory_complexity: ComplexityScaling::Exponential,
efficiency_rating: 0.8,
},
accuracy_profile: AccuracyProfile {
numerical_precision: 1e-15,
exact_fidelity: 0.999,
error_accumulation: 1e-12,
depth_accuracy_scaling: ComplexityScaling::Linear,
consistency_score: 0.95,
},
scalability_profile: ScalabilityProfile {
qubit_scaling: ComplexityScaling::Exponential,
depth_scaling: ComplexityScaling::Linear,
parallel_efficiency: 0.7,
max_practical_qubits: 20,
resource_efficiency: 0.8,
},
stability_metrics: StabilityMetrics {
crash_rate: 0.01,
result_consistency: 0.99,
error_handling: 0.9,
memory_leak_rate: 0.0,
long_run_stability: 0.95,
},
},
resource_requirements: ResourceRequirements {
min_cpu_cores: 1,
min_ram_gb: 2.0,
min_disk_gb: 1.0,
gpu_requirements: None,
network_requirements: None,
os_requirements: vec!["Linux".to_string(), "macOS".to_string()],
},
configuration_options: ConfigurationOptions {
precision_levels: vec![32, 64],
optimization_levels: vec!["none".to_string(), "basic".to_string()],
memory_options: vec!["standard".to_string()],
parallel_options: vec!["single".to_string()],
custom_parameters: HashMap::new(),
},
integration_interface: IntegrationInterface {
api_type: APIType::Library,
connection_params: ConnectionParameters {
endpoint: None,
port: None,
protocol_version: "1.0".to_string(),
timeout: Duration::from_secs(30),
ssl_required: false,
},
auth_requirements: AuthenticationSpec {
auth_method: AuthMethod::None,
required_credentials: vec![],
token_validity: None,
refresh_mechanism: false,
},
data_formats: DataFormatSpec {
input_formats: vec![DataFormat::QASM],
output_formats: vec![DataFormat::JSON],
streaming_support: false,
compression_options: vec![],
},
error_handling: ErrorHandlingSpec {
error_format: ErrorFormat::Standard,
retry_support: false,
recovery_mechanisms: vec![],
debugging_support: false,
},
},
};
let result = framework.register_simulator(simulator);
assert!(result.is_ok());
assert_eq!(
framework
.simulators
.read()
.expect("RwLock should not be poisoned")
.len(),
1
);
}
#[test]
fn test_high_performance_config() {
let config = create_high_performance_comparison_config();
assert_eq!(config.comparison_criteria.speed_weight, 0.4);
assert!(config.enable_ml_recommendations);
assert_eq!(
config.reporting_config.detail_level,
ReportDetailLevel::Comprehensive
);
}
#[tokio::test]
async fn test_comparison_execution() {
let framework = create_simulator_comparison_framework();
let result = framework
.run_comparison(vec!["test_simulator".to_string()])
.await;
assert!(result.is_ok());
}
}