#[cfg(not(feature = "scirs2"))]
use fallback_scirs2::*;
use quantrs2_circuit::prelude::*;
use scirs2_core::random::prelude::*;
#[cfg(feature = "scirs2")]
use scirs2_linalg::{
cholesky, det, eig, inv, matrix_norm, prelude::*, qr, svd, trace, LinalgError, LinalgResult,
};
use std::collections::{HashMap, VecDeque};
use std::time::{Duration, Instant};
use super::types::{
AllocationStrategy, AnalyticsConfig, AnalyticsDepth, AnomalyDetectionAlgorithm,
AnomalyDetectionConfig, AnomalyResponse, BackoffStrategy, BalancingAlgorithm,
BudgetConstraints, CostOptimizationConfig, CostOptimizationStrategy, DependencyResolution,
ErrorEscalationConfig, ErrorHandlingConfig, ErrorPredictionConfig, EscalationAction,
IntegratedDeviceConfig, LoadBalancingConfig, NotificationConfig, OrchestrationStrategy,
ParallelizationStrategy, PerformanceOptimizationConfig, PerformanceTargets, PipelineConfig,
PredictionAlgorithm, RecoveryStrategy, ResourceAllocationConfig, RetryCondition, RetryStrategy,
UtilizationTargets, WorkflowConfig, WorkflowObjective, WorkflowOptimizationConfig,
};
impl Default for IntegratedDeviceConfig {
fn default() -> Self {
Self {
enable_adaptive_management: true,
enable_ml_optimization: true,
enable_realtime_monitoring: true,
enable_predictive_analytics: true,
orchestration_strategy: OrchestrationStrategy::Adaptive,
optimization_config: PerformanceOptimizationConfig {
enable_continuous_optimization: true,
optimization_interval: 300,
performance_targets: PerformanceTargets {
min_fidelity: 0.95,
max_error_rate: 0.01,
min_throughput: 10.0,
max_latency_ms: 1000,
min_utilization: 0.7,
},
optimization_weights: [
("fidelity".to_string(), 0.4),
("speed".to_string(), 0.3),
("cost".to_string(), 0.2),
("reliability".to_string(), 0.1),
]
.iter()
.cloned()
.collect(),
enable_ab_testing: true,
learning_rate: 0.01,
},
resource_config: ResourceAllocationConfig {
max_concurrent_jobs: 10,
allocation_strategy: AllocationStrategy::PerformanceBased,
load_balancing: LoadBalancingConfig {
enable_load_balancing: true,
balancing_algorithm: BalancingAlgorithm::ResourceBased,
rebalancing_interval: 60,
load_threshold: 0.8,
},
utilization_targets: UtilizationTargets {
target_cpu_utilization: 0.75,
target_memory_utilization: 0.8,
target_network_utilization: 0.6,
target_quantum_utilization: 0.85,
},
cost_optimization: CostOptimizationConfig {
enable_cost_optimization: true,
cost_threshold: 1000.0,
optimization_strategy: CostOptimizationStrategy::MaximizeValueForMoney,
budget_constraints: BudgetConstraints {
daily_budget: Some(500.0),
monthly_budget: Some(10000.0),
per_job_limit: Some(100.0),
},
},
},
analytics_config: AnalyticsConfig {
enable_comprehensive_analytics: true,
collection_interval: 30,
analytics_depth: AnalyticsDepth::Advanced,
enable_predictive_modeling: true,
retention_period_days: 90,
anomaly_detection: AnomalyDetectionConfig {
enable_anomaly_detection: true,
detection_algorithms: vec![
AnomalyDetectionAlgorithm::StatisticalOutlier,
AnomalyDetectionAlgorithm::MachineLearning,
],
sensitivity_threshold: 0.95,
response_actions: vec![AnomalyResponse::Alert, AnomalyResponse::AutoCorrect],
},
},
workflow_config: WorkflowConfig {
enable_complex_workflows: true,
workflow_optimization: WorkflowOptimizationConfig {
enable_workflow_optimization: true,
optimization_objectives: vec![
WorkflowObjective::MinimizeTime,
WorkflowObjective::MaximizeAccuracy,
],
parallelization_strategy: ParallelizationStrategy::Adaptive,
dependency_resolution: DependencyResolution::Predictive,
},
pipeline_config: PipelineConfig {
max_pipeline_depth: 10,
pipeline_parallelism: 4,
buffer_sizes: [
("default".to_string(), 1000),
("high_priority".to_string(), 100),
]
.iter()
.cloned()
.collect(),
timeout_configs: [
("default".to_string(), Duration::from_secs(3600)),
("fast".to_string(), Duration::from_secs(300)),
]
.iter()
.cloned()
.collect(),
},
error_handling: ErrorHandlingConfig {
retry_strategies: HashMap::from([(
"default".to_string(),
RetryStrategy {
max_retries: 3,
retry_delay: Duration::from_secs(5),
backoff_strategy: BackoffStrategy::Exponential,
retry_conditions: vec![
RetryCondition::TransientError,
RetryCondition::NetworkError,
],
},
)]),
error_escalation: ErrorEscalationConfig {
escalation_thresholds: [
("error_rate".to_string(), 5),
("timeout_rate".to_string(), 3),
]
.iter()
.cloned()
.collect(),
escalation_actions: vec![
EscalationAction::Notify,
EscalationAction::Fallback,
],
notification_config: NotificationConfig {
email_notifications: true,
slack_notifications: false,
sms_notifications: false,
webhook_notifications: Vec::new(),
},
},
recovery_strategies: vec![
RecoveryStrategy::Restart,
RecoveryStrategy::Fallback,
],
error_prediction: ErrorPredictionConfig {
enable_error_prediction: true,
prediction_algorithms: vec![
PredictionAlgorithm::StatisticalModel,
PredictionAlgorithm::MachineLearning,
],
prediction_horizon: Duration::from_secs(3600),
confidence_threshold: 0.8,
},
},
workflow_templates: Vec::new(),
},
}
}
}