//! Auto-generated module
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use super::super::allocation::AllocationStats;
use std::collections::{BTreeMap, HashMap, VecDeque};
use std::sync::{Arc, Mutex, RwLock};
use std::time::{Duration, Instant, SystemTime};

/// Usage pattern analysis for pinned memory
#[derive(Debug, Clone)]
pub struct UsagePatternAnalysis {
    /// Dominant usage patterns
    pub dominant_patterns: Vec<UsagePattern>,
    /// Pattern stability
    pub stability: f32,
    /// Pattern predictability
    pub predictability: f32,
    /// Optimization potential
    pub optimization_potential: f32,
}
/// Error correlation with system state
#[derive(Debug, Clone)]
pub struct ErrorCorrelation {
    /// System state variable
    pub state_variable: String,
    /// Correlation coefficient with error rate
    pub correlation: f64,
    /// Statistical significance
    pub significance: f64,
    /// Predictive value for error prevention
    pub predictive_value: f32,
}
/// Resolution priorities
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum ResolutionPriority {
    Low,
    Medium,
    High,
    Critical,
}
/// System scalability metrics
#[derive(Debug, Clone)]
pub struct ScalabilityMetrics {
    /// Scalability pattern
    pub pattern: ScalabilityPattern,
    /// Maximum scalable load
    pub max_scalable_load: f32,
    /// Scalability efficiency
    pub efficiency: f32,
    /// Bottleneck identification
    pub bottlenecks: Vec<ScalabilityBottleneck>,
}
/// Transfer efficiency analysis
#[derive(Debug, Clone)]
pub struct TransferEfficiencyAnalysis {
    /// Overall transfer efficiency
    pub overall_efficiency: f32,
    /// Efficiency by transfer size
    pub efficiency_by_size: HashMap<String, f32>,
    /// Efficiency by transfer direction
    pub efficiency_by_direction: HashMap<String, f32>,
    /// Optimization recommendations
    pub recommendations: Vec<TransferOptimizationRecommendation>,
}
/// Optimization risk levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum OptimizationRisk {
    VeryLow,
    Low,
    Medium,
    High,
    VeryHigh,
}
/// Model performance metrics
#[derive(Debug, Clone)]
pub struct ModelPerformance {
    /// Prediction accuracy
    pub accuracy: f32,
    /// Mean absolute error
    pub mean_absolute_error: f64,
    /// Root mean square error
    pub rmse: f64,
    /// Prediction bias
    pub bias: f64,
    /// Model reliability
    pub reliability: f32,
}
/// Usage pattern identification
#[derive(Debug, Clone)]
pub struct UsagePattern {
    /// Pattern type
    pub pattern_type: UsagePatternType,
    /// Pattern strength
    pub strength: f32,
    /// Duration of pattern
    pub duration: Duration,
    /// Performance impact
    pub performance_impact: f32,
}
/// Allocation performance metrics
#[derive(Debug, Clone)]
pub struct AllocationPerformanceMetrics {
    /// Average allocation time
    pub average_allocation_time: Duration,
    /// Allocation throughput
    pub allocation_throughput: f64,
    /// Allocation success rate
    pub success_rate: f32,
    /// Memory efficiency
    pub memory_efficiency: f32,
}
/// Alert severity levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum AlertSeverity {
    Info,
    Warning,
    Error,
    Critical,
}
/// Types of usage patterns
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum UsagePatternType {
    Streaming,
    Burst,
    Periodic,
    Random,
    Sequential,
    Sparse,
}
/// Outlier analysis for allocation sizes
#[derive(Debug, Clone)]
pub struct OutlierAnalysis {
    /// Outlier detection threshold
    pub threshold: f64,
    /// Number of outliers detected
    pub outlier_count: usize,
    /// Percentage of allocations that are outliers
    pub outlier_percentage: f32,
    /// Impact of outliers on memory usage
    pub impact_assessment: OutlierImpact,
}
/// Memory fragmentation analysis
#[derive(Debug, Clone)]
pub struct FragmentationAnalysis {
    /// Internal fragmentation level
    pub internal_fragmentation: f32,
    /// External fragmentation level
    pub external_fragmentation: f32,
    /// Overall fragmentation score
    pub overall_fragmentation: f32,
    /// Fragmentation trend over time
    pub fragmentation_trend: Vec<FragmentationDataPoint>,
    /// Fragmentation impact on performance
    pub performance_impact: FragmentationImpact,
    /// Defragmentation recommendations
    pub defragmentation_recommendations: Vec<DefragmentationRecommendation>,
}
/// Types of system bottlenecks
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum BottleneckType {
    MemoryBandwidth,
    AllocationLatency,
    Fragmentation,
    Contention,
    Synchronization,
    ResourceExhaustion,
}
/// Performance alerts
#[derive(Debug, Clone)]
pub struct PerformanceAlert {
    /// Alert identifier
    pub id: String,
    /// Alert description
    pub description: String,
    /// Alert severity
    pub severity: AlertSeverity,
    /// Metric that triggered the alert
    pub trigger_metric: String,
    /// Alert threshold
    pub threshold: f64,
    /// Current value
    pub current_value: f64,
    /// Alert timestamp
    pub timestamp: Instant,
}
/// Cache effectiveness for pinned memory
#[derive(Debug, Clone)]
pub struct CacheEffectiveness {
    /// Cache hit rate
    pub hit_rate: f32,
    /// Cache utilization
    pub utilization: f32,
    /// Cache efficiency score
    pub efficiency_score: f32,
    /// Cache optimization opportunities
    pub optimization_opportunities: Vec<CacheOptimization>,
}
/// Timestamped performance record
#[derive(Debug, Clone)]
pub struct TimestampedPerformance {
    /// Timestamp
    pub timestamp: Instant,
    /// Performance metrics at this time
    pub metrics: PerformanceMetrics,
    /// System load at this time
    pub system_load: f32,
}
/// Pinned memory statistics with transfer analysis
#[derive(Debug, Clone)]
pub struct PinnedMemoryStatistics {
    /// Base allocation statistics
    pub allocation_stats: AllocationStats,
    /// Transfer statistics
    pub transfer_stats: TransferStatistics,
    /// Mapping statistics
    pub mapping_stats: MappingStatistics,
    /// Cache effectiveness
    pub cache_effectiveness: CacheEffectiveness,
    /// Transfer optimization metrics
    pub optimization_metrics: TransferOptimizationMetrics,
    /// Usage pattern analysis
    pub usage_patterns: UsagePatternAnalysis,
}
/// Model complexity levels
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ModelComplexity {
    Simple,
    Moderate,
    Complex,
    Advanced,
}
/// Types of cache optimizations
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum CacheOptimizationType {
    SizeAdjustment,
    EvictionPolicy,
    Prefetching,
    Partitioning,
    Compression,
}
/// Efficiency improvement opportunities
#[derive(Debug, Clone)]
pub struct EfficiencyImprovement {
    /// Improvement area
    pub area: EfficiencyArea,
    /// Current efficiency
    pub current_efficiency: f32,
    /// Potential improvement
    pub potential_improvement: f32,
    /// Implementation approach
    pub approach: ImprovementApproach,
}
/// Comprehensive statistics report
#[derive(Debug, Clone)]
pub struct StatisticsReport {
    /// Device statistics by device ID
    pub device_statistics: HashMap<usize, DeviceMemoryStatistics>,
    /// Unified memory statistics
    pub unified_statistics: UnifiedMemoryStatistics,
    /// Pinned memory statistics
    pub pinned_statistics: PinnedMemoryStatistics,
    /// Global statistics
    pub global_statistics: GlobalMemoryStatistics,
    /// Report generation time
    pub generation_time: Instant,
}
/// Defragmentation risk levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum DefragmentationRisk {
    Low,
    Medium,
    High,
    VeryHigh,
}
/// Recommendation urgency levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum RecommendationUrgency {
    Low,
    Medium,
    High,
    Immediate,
}
/// Prefetch effectiveness analysis
#[derive(Debug, Clone)]
pub struct PrefetchEffectiveness {
    /// Total prefetch operations
    pub total_prefetches: u64,
    /// Successful prefetches (that improved performance)
    pub successful_prefetches: u64,
    /// Prefetch success rate
    pub success_rate: f32,
    /// Performance improvement from prefetching
    pub performance_improvement: f32,
    /// Prefetch accuracy by pattern
    pub pattern_accuracy: HashMap<String, f32>,
    /// Cost-effectiveness analysis
    pub cost_effectiveness: PrefetchCostEffectiveness,
}
/// Fragmentation data point over time
#[derive(Debug, Clone)]
pub struct FragmentationDataPoint {
    /// Timestamp
    pub timestamp: Instant,
    /// Fragmentation level at this time
    pub fragmentation_level: f32,
    /// Number of free blocks
    pub free_blocks: usize,
    /// Largest free block size
    pub largest_free_block: usize,
}
/// Performance metrics under different load conditions
#[derive(Debug, Clone)]
pub struct LoadPerformanceMetrics {
    /// Performance under low load
    pub low_load_performance: PerformanceSnapshot,
    /// Performance under medium load
    pub medium_load_performance: PerformanceSnapshot,
    /// Performance under high load
    pub high_load_performance: PerformanceSnapshot,
    /// Load scaling characteristics
    pub scaling_characteristics: LoadScalingCharacteristics,
}
/// Impact assessment of outliers
#[derive(Debug, Clone)]
pub enum OutlierImpact {
    Minimal,
    Moderate,
    Significant,
    Critical,
}
/// Transfer statistics for pinned memory
#[derive(Debug, Clone)]
pub struct TransferStatistics {
    /// Total transfer operations
    pub total_transfers: u64,
    /// Transfer volume statistics
    pub volume_stats: VolumeStatistics,
    /// Transfer performance metrics
    pub performance_metrics: TransferPerformanceMetrics,
    /// Transfer efficiency analysis
    pub efficiency_analysis: TransferEfficiencyAnalysis,
    /// Transfer patterns
    pub patterns: Vec<TransferPattern>,
}
/// Approaches for efficiency improvement
#[derive(Debug, Clone)]
pub enum ImprovementApproach {
    ConfigurationChange,
    AlgorithmOptimization,
    ResourceReallocation,
    ArchitecturalImprovement,
    BehavioralOptimization,
}
/// Memory efficiency metrics
#[derive(Debug, Clone)]
pub struct EfficiencyMetrics {
    /// Memory utilization efficiency
    pub utilization_efficiency: f32,
    /// Allocation efficiency (requested vs allocated)
    pub allocation_efficiency: f32,
    /// Memory waste percentage
    pub waste_percentage: f32,
    /// Pool hit rate efficiency
    pub pool_efficiency: f32,
    /// Overall efficiency score
    pub overall_efficiency: f32,
    /// Efficiency trend
    pub efficiency_trend: EfficiencyTrend,
}
/// Correlation significance levels
#[derive(Debug, Clone)]
pub struct CorrelationSignificance {
    /// Device-Unified significance
    pub device_unified: f64,
    /// Device-Pinned significance
    pub device_pinned: f64,
    /// Unified-Pinned significance
    pub unified_pinned: f64,
}
/// Distribution characteristics
#[derive(Debug, Clone)]
pub struct DistributionCharacteristics {
    /// Mean allocation size
    pub mean: f64,
    /// Standard deviation
    pub standard_deviation: f64,
    /// Skewness of distribution
    pub skewness: f64,
    /// Kurtosis of distribution
    pub kurtosis: f64,
    /// Distribution type (Normal, LogNormal, Exponential, etc.)
    pub distribution_type: DistributionType,
    /// Goodness of fit score
    pub goodness_of_fit: f64,
}
/// Performance snapshot under specific conditions
#[derive(Debug, Clone)]
pub struct PerformanceSnapshot {
    /// Average latency
    pub average_latency: Duration,
    /// Throughput
    pub throughput: f64,
    /// Memory efficiency
    pub efficiency: f32,
    /// Error rate
    pub error_rate: f32,
}
/// Configuration for statistics collection and analysis
#[derive(Debug, Clone)]
pub struct StatisticsConfig {
    /// Enable detailed tracking
    pub enable_detailed_tracking: bool,
    /// Enable historical data collection
    pub enable_historical_data: bool,
    /// Historical data retention period
    pub retention_period: Duration,
    /// Sampling interval for real-time statistics
    pub sampling_interval: Duration,
    /// Enable trend analysis
    pub enable_trend_analysis: bool,
    /// Enable predictive analytics
    pub enable_predictive_analytics: bool,
    /// Maximum historical data points to keep
    pub max_historical_points: usize,
    /// Enable performance profiling
    pub enable_performance_profiling: bool,
    /// Enable memory fragmentation tracking
    pub enable_fragmentation_tracking: bool,
    /// Statistical confidence threshold
    pub confidence_threshold: f64,
}
/// Data retention policy
#[derive(Debug, Clone)]
pub struct RetentionPolicy {
    /// Maximum retention period
    pub max_retention: Duration,
    /// Data compression after this period
    pub compress_after: Duration,
    /// Summarization after this period
    pub summarize_after: Duration,
    /// Cleanup frequency
    pub cleanup_frequency: Duration,
}
/// Types of access patterns
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum AccessPatternType {
    Sequential,
    Random,
    Strided,
    Temporal,
    Spatial,
    ReadOnly,
    WriteOnly,
    ReadWrite,
}
/// Optimization complexity levels
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum OptimizationComplexity {
    Trivial,
    Simple,
    Moderate,
    Complex,
    VeryComplex,
}
/// Efficiency trends over time
#[derive(Debug, Clone)]
pub struct EfficiencyTrends {
    /// Memory efficiency trend
    pub memory_trend: EfficiencyTrend,
    /// Bandwidth efficiency trend
    pub bandwidth_trend: EfficiencyTrend,
    /// Compute efficiency trend
    pub compute_trend: EfficiencyTrend,
    /// Overall trend
    pub overall_trend: EfficiencyTrend,
}
/// Statistical analyzer for advanced analytics
#[derive(Debug)]
pub struct StatisticalAnalyzer {
    /// Statistical models
    models: HashMap<String, StatisticalModel>,
    /// Analysis results cache
    analysis_cache: HashMap<String, AnalysisResult>,
    /// Configuration settings
    config: StatisticalAnalysisConfig,
}
impl StatisticalAnalyzer {
    fn new() -> Self {
        Self {
            models: HashMap::new(),
            analysis_cache: HashMap::new(),
            config: StatisticalAnalysisConfig::default(),
        }
    }
}
/// Mapping effectiveness metrics
#[derive(Debug, Clone)]
pub struct MappingEffectiveness {
    /// Performance benefit from mapping
    pub performance_benefit: f32,
    /// Memory access efficiency improvement
    pub efficiency_improvement: f32,
    /// Cost-benefit ratio
    pub cost_benefit_ratio: f32,
    /// Utilization rate of mapped memory
    pub utilization_rate: f32,
}
/// Types of defragmentation
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum DefragmentationType {
    Compaction,
    Reallocation,
    PoolRebuild,
    MemoryCoalescing,
}
/// Error impact levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum ErrorImpactLevel {
    Minimal,
    Low,
    Moderate,
    High,
    Critical,
}
/// Scaling patterns under load
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ScalingPattern {
    Linear,
    Logarithmic,
    Exponential,
    StepFunction,
    Plateau,
    Degrading,
}
/// Error and failure statistics
#[derive(Debug, Clone)]
pub struct ErrorStatistics {
    /// Total error count
    pub total_errors: u64,
    /// Error rate (errors per operation)
    pub error_rate: f32,
    /// Error types and their frequencies
    pub error_types: HashMap<String, u64>,
    /// Error trends over time
    pub error_trends: Vec<ErrorDataPoint>,
    /// Error impact analysis
    pub impact_analysis: ErrorImpactAnalysis,
    /// Error correlation with system state
    pub state_correlations: Vec<ErrorCorrelation>,
}
/// Current performance metrics
#[derive(Debug, Clone)]
pub struct PerformanceMetrics {
    /// Allocation performance
    pub allocation_performance: AllocationPerformanceMetrics,
    /// Transfer performance
    pub transfer_performance: TransferPerformanceMetrics,
    /// System performance
    pub system_performance: SystemPerformanceMetrics,
    /// Efficiency metrics
    pub efficiency_metrics: EfficiencyMetrics,
}
/// Health risk factors
#[derive(Debug, Clone)]
pub struct HealthRiskFactor {
    /// Risk factor name
    pub name: String,
    /// Risk level
    pub risk_level: HealthRiskLevel,
    /// Impact on system health
    pub health_impact: f32,
    /// Mitigation strategies
    pub mitigation_strategies: Vec<String>,
}
/// Error severity levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum ErrorSeverity {
    Info,
    Warning,
    Error,
    Critical,
    Fatal,
}
/// Error data point over time
#[derive(Debug, Clone)]
pub struct ErrorDataPoint {
    /// Timestamp
    pub timestamp: Instant,
    /// Error count in this period
    pub error_count: u64,
    /// Error types in this period
    pub error_types: HashMap<String, u64>,
    /// System load at time of errors
    pub system_load: f32,
}
/// Optimization metrics for unified memory
#[derive(Debug, Clone)]
pub struct OptimizationMetrics {
    /// Total optimizations applied
    pub total_optimizations: u64,
    /// Successful optimizations
    pub successful_optimizations: u64,
    /// Average improvement per optimization
    pub average_improvement: f32,
    /// Optimization effectiveness by type
    pub effectiveness_by_type: HashMap<String, f32>,
    /// Cumulative performance improvement
    pub cumulative_improvement: f32,
}
/// Latency statistics for memory operations
#[derive(Debug, Clone)]
pub struct LatencyStatistics {
    /// Mean latency
    pub mean_latency: Duration,
    /// Latency percentiles
    pub percentiles: PercentileStats,
    /// Latency variance
    pub variance: f64,
    /// Maximum latency spikes
    pub max_spikes: Vec<LatencySpike>,
    /// Latency trend over time
    pub trend: PerformanceTrend,
}
/// Prefetch cost-effectiveness analysis
#[derive(Debug, Clone)]
pub struct PrefetchCostEffectiveness {
    /// Cost of prefetch operations
    pub prefetch_cost: f64,
    /// Benefits gained from prefetching
    pub benefits: f64,
    /// Net benefit
    pub net_benefit: f64,
    /// Cost per successful prefetch
    pub cost_per_success: f64,
}
/// Health risk levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum HealthRiskLevel {
    Low,
    Moderate,
    High,
    Critical,
}
/// Global memory statistics across all types
#[derive(Debug, Clone)]
pub struct GlobalMemoryStatistics {
    /// Total memory usage across all types
    pub total_memory_usage: MemoryUsageBreakdown,
    /// Cross-memory type correlations
    pub cross_type_correlations: CrossTypeCorrelations,
    /// System-wide performance metrics
    pub system_performance: SystemPerformanceMetrics,
    /// Resource utilization efficiency
    pub resource_efficiency: ResourceUtilizationEfficiency,
    /// Global optimization opportunities
    pub optimization_opportunities: Vec<OptimizationOpportunity>,
    /// System health indicators
    pub health_indicators: SystemHealthIndicators,
}
/// Access pattern analysis for unified memory
#[derive(Debug, Clone)]
pub struct AccessPatternAnalysis {
    /// Dominant access patterns
    pub dominant_patterns: Vec<AccessPattern>,
    /// Pattern stability over time
    pub pattern_stability: f32,
    /// Predictability score
    pub predictability_score: f32,
    /// Optimization opportunities
    pub optimization_opportunities: Vec<PatternOptimization>,
}
/// Global optimization opportunities
#[derive(Debug, Clone)]
pub struct OptimizationOpportunity {
    /// Opportunity identifier
    pub id: String,
    /// Opportunity description
    pub description: String,
    /// Potential benefit
    pub potential_benefit: f32,
    /// Implementation complexity
    pub complexity: OptimizationComplexity,
    /// Required resources
    pub required_resources: Vec<String>,
    /// Risk assessment
    pub risk: OptimizationRisk,
    /// Priority ranking
    pub priority: OptimizationPriority,
}
/// Anomaly detection result
#[derive(Debug, Clone)]
pub struct AnomalyDetectionResult {
    /// Whether an anomaly was detected
    pub anomaly_detected: bool,
    /// Confidence score of the detection
    pub confidence: f64,
    /// Type of anomaly if detected
    pub anomaly_type: Option<String>,
    /// Suggested action
    pub suggested_action: Option<String>,
}
/// Health improvement recommendations
#[derive(Debug, Clone)]
pub struct HealthRecommendation {
    /// Recommendation description
    pub description: String,
    /// Expected health improvement
    pub expected_improvement: f32,
    /// Implementation urgency
    pub urgency: RecommendationUrgency,
    /// Resource requirements
    pub resource_requirements: Vec<String>,
}
/// Historical data manager for long-term analysis
#[derive(Debug)]
pub struct HistoricalDataManager {
    /// Historical memory usage data
    memory_usage_history: VecDeque<HistoricalMemoryUsage>,
    /// Historical performance data
    performance_history: VecDeque<HistoricalPerformance>,
    /// Historical error data
    error_history: VecDeque<HistoricalError>,
    /// Data retention policy
    retention_policy: RetentionPolicy,
    /// Compression settings
    compression_settings: CompressionSettings,
}
impl HistoricalDataManager {
    fn new() -> Self {
        Self {
            memory_usage_history: VecDeque::new(),
            performance_history: VecDeque::new(),
            error_history: VecDeque::new(),
            retention_policy: RetentionPolicy::default(),
            compression_settings: CompressionSettings::default(),
        }
    }
}
/// Types of trends
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum TrendType {
    Increasing,
    Decreasing,
    Cyclical,
    Seasonal,
    Random,
    Stable,
}
/// Performance consistency metrics
#[derive(Debug, Clone)]
pub struct ConsistencyMetrics {
    /// Coefficient of variation for latency
    pub latency_coefficient_variation: f64,
    /// Throughput stability score
    pub throughput_stability: f32,
    /// Performance predictability score
    pub predictability_score: f32,
    /// Anomaly detection score
    pub anomaly_score: f32,
}
/// System health indicators
#[derive(Debug, Clone)]
pub struct SystemHealthIndicators {
    /// Overall health score
    pub overall_health: f32,
    /// Component health scores
    pub component_health: HashMap<String, f32>,
    /// Health trend
    pub health_trend: HealthTrend,
    /// Health risk factors
    pub risk_factors: Vec<HealthRiskFactor>,
    /// Health recommendations
    pub recommendations: Vec<HealthRecommendation>,
}
/// Transfer directions
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum TransferDirection {
    HostToDevice,
    DeviceToHost,
    Bidirectional,
}
/// Defragmentation recommendation
#[derive(Debug, Clone)]
pub struct DefragmentationRecommendation {
    /// Recommendation type
    pub recommendation_type: DefragmentationType,
    /// Expected benefit
    pub expected_benefit: f32,
    /// Implementation complexity
    pub complexity: DefragmentationComplexity,
    /// Risk assessment
    pub risk: DefragmentationRisk,
}
/// Memory mapping statistics
#[derive(Debug, Clone)]
pub struct MappingStatistics {
    /// Total mappings created
    pub total_mappings: u64,
    /// Currently active mappings
    pub active_mappings: u64,
    /// Mapping success rate
    pub success_rate: f32,
    /// Mapping overhead analysis
    pub overhead_analysis: MappingOverheadAnalysis,
    /// Mapping effectiveness
    pub effectiveness: MappingEffectiveness,
}
/// Health trend indicators
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum HealthTrend {
    Improving,
    Stable,
    Declining,
    Volatile,
}
/// Compression algorithms
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum CompressionAlgorithm {
    None,
    LZ4,
    Zstd,
    Snappy,
}
/// Resource utilization efficiency
#[derive(Debug, Clone)]
pub struct ResourceUtilizationEfficiency {
    /// Overall efficiency score
    pub overall_efficiency: f32,
    /// Memory utilization efficiency
    pub memory_efficiency: f32,
    /// Bandwidth utilization efficiency
    pub bandwidth_efficiency: f32,
    /// Compute resource efficiency
    pub compute_efficiency: f32,
    /// Efficiency trends
    pub trends: EfficiencyTrends,
    /// Improvement opportunities
    pub improvement_opportunities: Vec<EfficiencyImprovement>,
}
/// Percentile statistics for allocations
#[derive(Debug, Clone)]
pub struct PercentileStats {
    /// 50th percentile (median)
    pub p50: f64,
    /// 90th percentile
    pub p90: f64,
    /// 95th percentile
    pub p95: f64,
    /// 99th percentile
    pub p99: f64,
    /// 99.9th percentile
    pub p999: f64,
    /// Minimum value
    pub min: f64,
    /// Maximum value
    pub max: f64,
}
/// Predictive model
#[derive(Debug, Clone)]
pub struct PredictiveModel {
    /// Model identifier
    pub id: String,
    /// Model type
    pub model_type: PredictiveModelType,
    /// Training data size
    pub training_data_size: usize,
    /// Model accuracy
    pub accuracy: f32,
    /// Last training time
    pub last_training: Instant,
    /// Prediction capabilities
    pub capabilities: Vec<PredictionCapability>,
}
/// Transfer optimization metrics for pinned memory
#[derive(Debug, Clone)]
pub struct TransferOptimizationMetrics {
    /// Optimization success rate
    pub success_rate: f32,
    /// Average improvement per optimization
    pub average_improvement: f32,
    /// Cumulative bandwidth improvement
    pub cumulative_bandwidth_improvement: f64,
    /// Latency reduction achieved
    pub latency_reduction: Duration,
    /// Efficiency improvements by optimization type
    pub improvements_by_type: HashMap<String, f32>,
}
/// Bottleneck resolution recommendations
#[derive(Debug, Clone)]
pub struct BottleneckResolution {
    /// Resolution strategy
    pub strategy: ResolutionStrategy,
    /// Expected improvement
    pub expected_improvement: f32,
    /// Implementation effort
    pub effort: OptimizationEffort,
    /// Risk assessment
    pub risk: OptimizationRisk,
    /// Priority level
    pub priority: ResolutionPriority,
}
/// Error impact analysis
#[derive(Debug, Clone)]
pub struct ErrorImpactAnalysis {
    /// Performance impact of errors
    pub performance_impact: f32,
    /// User experience impact
    pub user_impact: ErrorImpactLevel,
    /// Resource waste due to errors
    pub resource_waste: f32,
    /// Recovery cost analysis
    pub recovery_cost: f32,
}
/// Efficiency trend indicators
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum EfficiencyTrend {
    Improving,
    Stable,
    Declining,
    Volatile,
}
/// Optimization effort levels
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum OptimizationEffort {
    Minimal,
    Low,
    Medium,
    High,
    Extensive,
}
/// Memory advice impact analysis
#[derive(Debug, Clone)]
pub struct AdviceImpactAnalysis {
    /// Advice types and their effectiveness
    pub advice_effectiveness: HashMap<String, f32>,
    /// Overall advice impact score
    pub overall_impact: f32,
    /// Performance improvements by advice type
    pub improvements: HashMap<String, f32>,
    /// Advice optimization opportunities
    pub optimization_opportunities: Vec<AdviceOptimization>,
}
/// Unified memory statistics with migration tracking
#[derive(Debug, Clone)]
pub struct UnifiedMemoryStatistics {
    /// Base allocation statistics
    pub allocation_stats: AllocationStats,
    /// Migration statistics
    pub migration_stats: MigrationStatistics,
    /// Access pattern analysis
    pub access_patterns: AccessPatternAnalysis,
    /// Prefetch effectiveness
    pub prefetch_effectiveness: PrefetchEffectiveness,
    /// Memory advice impact
    pub advice_impact: AdviceImpactAnalysis,
    /// Performance optimization metrics
    pub optimization_metrics: OptimizationMetrics,
    /// Usage across devices
    pub device_usage_distribution: HashMap<usize, f64>,
}
/// Areas for efficiency improvement
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum EfficiencyArea {
    MemoryUtilization,
    BandwidthUtilization,
    AllocationStrategy,
    CacheEffectiveness,
    ResourceSharing,
}
/// Cross-memory type correlations
#[derive(Debug, Clone)]
pub struct CrossTypeCorrelations {
    /// Device-Unified correlation
    pub device_unified_correlation: f64,
    /// Device-Pinned correlation
    pub device_pinned_correlation: f64,
    /// Unified-Pinned correlation
    pub unified_pinned_correlation: f64,
    /// Correlation significance levels
    pub significance_levels: CorrelationSignificance,
}
/// Latency characteristics under different loads
#[derive(Debug, Clone)]
pub struct LoadLatencyCharacteristics {
    /// Low load latency
    pub low_load: Duration,
    /// Medium load latency
    pub medium_load: Duration,
    /// High load latency
    pub high_load: Duration,
    /// Load sensitivity
    pub load_sensitivity: f32,
}
/// Trend detection algorithms
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum DetectionAlgorithm {
    MovingAverage,
    LinearRegression,
    ExponentialSmoothing,
    SeasonalDecomposition,
    ChangePointDetection,
}
/// Migration pattern analysis
#[derive(Debug, Clone)]
pub struct MigrationPattern {
    /// Pattern identifier
    pub pattern_id: String,
    /// Pattern frequency
    pub frequency: f64,
    /// Performance impact
    pub performance_impact: f32,
    /// Optimization potential
    pub optimization_potential: f32,
}
/// Historical memory usage record
#[derive(Debug, Clone)]
pub struct HistoricalMemoryUsage {
    /// Timestamp
    pub timestamp: SystemTime,
    /// Memory usage snapshot
    pub usage_snapshot: MemoryUsageSnapshot,
    /// Device-specific usage
    pub device_usage: HashMap<usize, usize>,
    /// Memory type breakdown
    pub type_breakdown: MemoryUsageBreakdown,
}
/// Prediction model for trends
#[derive(Debug, Clone)]
pub struct PredictionModel {
    /// Model name
    pub name: String,
    /// Model accuracy
    pub accuracy: f32,
    /// Prediction horizon
    pub prediction_horizon: Duration,
    /// Model complexity
    pub complexity: ModelComplexity,
}
/// Performance trend indicators
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum PerformanceTrend {
    Improving,
    Stable,
    Degrading,
    Inconsistent,
}
/// System-wide performance metrics
#[derive(Debug, Clone)]
pub struct SystemPerformanceMetrics {
    /// Overall memory system throughput
    pub overall_throughput: f64,
    /// System-wide latency characteristics
    pub latency_characteristics: SystemLatencyCharacteristics,
    /// Resource utilization efficiency
    pub resource_utilization: f32,
    /// System scalability metrics
    pub scalability_metrics: ScalabilityMetrics,
    /// Performance bottleneck analysis
    pub bottleneck_analysis: BottleneckAnalysis,
}
/// Trend detection algorithm
#[derive(Debug, Clone)]
pub struct TrendDetector {
    /// Detector name
    pub name: String,
    /// Detection algorithm
    pub algorithm: DetectionAlgorithm,
    /// Detection sensitivity
    pub sensitivity: f32,
    /// Minimum trend length
    pub min_trend_length: usize,
}
/// Trend analyzer for pattern recognition
#[derive(Debug)]
pub struct TrendAnalyzer {
    /// Identified trends
    trends: HashMap<String, Trend>,
    /// Trend detection algorithms
    detectors: Vec<TrendDetector>,
    /// Trend prediction models
    prediction_models: HashMap<String, PredictionModel>,
}
impl TrendAnalyzer {
    fn new() -> Self {
        Self {
            trends: HashMap::new(),
            detectors: Vec::new(),
            prediction_models: HashMap::new(),
        }
    }
}
/// Resolution strategies for bottlenecks
#[derive(Debug, Clone)]
pub enum ResolutionStrategy {
    ResourceIncrease,
    AlgorithmOptimization,
    CacheImprovement,
    LoadBalancing,
    Parallelization,
    ArchitecturalChange,
}
/// Performance impact of fragmentation
#[derive(Debug, Clone)]
pub enum FragmentationImpact {
    Negligible,
    Minor,
    Moderate,
    Significant,
    Severe,
}
/// Latency spike information
#[derive(Debug, Clone)]
pub struct LatencySpike {
    /// When the spike occurred
    pub timestamp: Instant,
    /// Duration of the spike
    pub duration: Duration,
    /// Severity of the spike
    pub severity: SpikeSeverity,
    /// Possible cause
    pub possible_cause: String,
}
/// Performance baseline for comparison
#[derive(Debug, Clone)]
pub struct PerformanceBaseline {
    /// Baseline name
    pub name: String,
    /// Baseline metrics
    pub metrics: PerformanceMetrics,
    /// When baseline was established
    pub established_at: Instant,
    /// Baseline validity period
    pub validity_period: Duration,
}
/// Predictive analytics engine
#[derive(Debug)]
pub struct PredictiveAnalytics {
    /// Prediction models
    models: HashMap<String, PredictiveModel>,
    /// Prediction history
    prediction_history: VecDeque<PredictionResult>,
    /// Model performance metrics
    model_performance: HashMap<String, ModelPerformance>,
}
impl PredictiveAnalytics {
    fn new() -> Self {
        Self {
            models: HashMap::new(),
            prediction_history: VecDeque::new(),
            model_performance: HashMap::new(),
        }
    }
    fn generate_predictions(&mut self) -> Vec<PredictionResult> {
        Vec::new()
    }
}
/// Types of predictive models
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum PredictiveModelType {
    MemoryUsagePrediction,
    PerformancePrediction,
    ErrorPrediction,
    OptimizationPrediction,
    ResourceDemandPrediction,
}
/// Trend analysis result
#[derive(Debug, Clone)]
pub struct TrendAnalysis {
    /// Current trend direction
    pub trend: EfficiencyTrend,
    /// Trend strength (0.0 - 1.0)
    pub strength: f64,
    /// Prediction for next period
    pub prediction: Option<f64>,
}
/// Types of statistical models
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ModelType {
    LinearRegression,
    Polynomial,
    Exponential,
    LogNormal,
    TimeSeries,
    Clustering,
    Classification,
}
/// Transfer optimization recommendation
#[derive(Debug, Clone)]
pub struct TransferOptimizationRecommendation {
    /// Recommendation description
    pub description: String,
    /// Expected improvement
    pub expected_improvement: f32,
    /// Implementation effort
    pub effort: OptimizationEffort,
    /// Risk level
    pub risk: OptimizationRisk,
}
/// Prediction result
#[derive(Debug, Clone)]
pub struct PredictionResult {
    /// Prediction timestamp
    pub timestamp: Instant,
    /// Model used for prediction
    pub model_id: String,
    /// Predicted values
    pub predictions: HashMap<String, f64>,
    /// Confidence intervals
    pub confidence_intervals: HashMap<String, (f64, f64)>,
    /// Prediction horizon
    pub horizon: Duration,
}
/// Performance characteristics of access patterns
#[derive(Debug, Clone)]
pub struct AccessPerformance {
    /// Average access latency
    pub latency: Duration,
    /// Access bandwidth
    pub bandwidth: f64,
    /// Cache hit rate
    pub cache_hit_rate: f32,
    /// Efficiency score
    pub efficiency: f32,
}
/// Performance metrics tracker
#[derive(Debug)]
pub struct PerformanceMetricsTracker {
    /// Current performance metrics
    current_metrics: PerformanceMetrics,
    /// Performance history
    performance_history: VecDeque<TimestampedPerformance>,
    /// Performance baselines
    baselines: HashMap<String, PerformanceBaseline>,
    /// Performance alerts
    alerts: Vec<PerformanceAlert>,
}
impl PerformanceMetricsTracker {
    fn new() -> Self {
        Self {
            current_metrics: PerformanceMetrics::default(),
            performance_history: VecDeque::new(),
            baselines: HashMap::new(),
            alerts: Vec::new(),
        }
    }
}
/// Historical error record
#[derive(Debug, Clone)]
pub struct HistoricalError {
    /// Timestamp
    pub timestamp: SystemTime,
    /// Error type
    pub error_type: String,
    /// Error severity
    pub severity: ErrorSeverity,
    /// Context information
    pub context: HashMap<String, String>,
    /// Impact assessment
    pub impact: f32,
}
/// Performance characteristics of memory operations
#[derive(Debug, Clone)]
pub struct PerformanceCharacteristics {
    /// Allocation latency statistics
    pub allocation_latency: LatencyStatistics,
    /// Deallocation latency statistics
    pub deallocation_latency: LatencyStatistics,
    /// Memory throughput metrics
    pub throughput_metrics: ThroughputMetrics,
    /// Performance consistency metrics
    pub consistency_metrics: ConsistencyMetrics,
    /// Performance under load
    pub load_performance: LoadPerformanceMetrics,
}
/// Transfer volume statistics
#[derive(Debug, Clone)]
pub struct VolumeStatistics {
    /// Total bytes transferred
    pub total_bytes: u64,
    /// Average transfer size
    pub average_size: f64,
    /// Transfer size distribution
    pub size_distribution: SizeDistribution,
    /// Peak transfer rate
    pub peak_rate: f64,
}
/// Allocation size distribution analysis
#[derive(Debug, Clone)]
pub struct SizeDistribution {
    /// Size buckets and their frequency
    pub buckets: BTreeMap<usize, u64>,
    /// Percentile statistics
    pub percentiles: PercentileStats,
    /// Distribution characteristics
    pub characteristics: DistributionCharacteristics,
    /// Outlier analysis
    pub outliers: OutlierAnalysis,
}
/// System health metrics
#[derive(Debug, Clone, Default)]
pub struct SystemHealthMetrics {
    /// Overall system health score (0.0 - 1.0)
    pub health_score: f64,
    /// Memory pressure level
    pub pressure_level: MemoryPressureLevel,
    /// Fragmentation level
    pub fragmentation_level: f64,
    /// Error rate
    pub error_rate: f64,
}
/// Memory usage percentages
#[derive(Debug, Clone)]
pub struct MemoryUsagePercentages {
    /// Device memory percentage
    pub device_percentage: f32,
    /// Unified memory percentage
    pub unified_percentage: f32,
    /// Pinned memory percentage
    pub pinned_percentage: f32,
}
/// Prediction capabilities
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum PredictionCapability {
    ShortTerm,
    MediumTerm,
    LongTerm,
    RealTime,
    Seasonal,
    TrendBased,
}
/// Cache optimization opportunities
#[derive(Debug, Clone)]
pub struct CacheOptimization {
    /// Optimization type
    pub optimization_type: CacheOptimizationType,
    /// Expected benefit
    pub expected_benefit: f32,
    /// Implementation complexity
    pub complexity: OptimizationComplexity,
}
/// Types of statistical distributions
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum DistributionType {
    Normal,
    LogNormal,
    Exponential,
    Uniform,
    PowerLaw,
    Bimodal,
    Unknown,
}
/// Optimization priorities
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum OptimizationPriority {
    Low,
    Medium,
    High,
    Critical,
}
/// Allocation lifetime statistics
#[derive(Debug, Clone)]
pub struct LifetimeStatistics {
    /// Average allocation lifetime
    pub average_lifetime: Duration,
    /// Lifetime distribution
    pub lifetime_distribution: PercentileStats,
    /// Short-lived allocation percentage
    pub short_lived_percentage: f32,
    /// Long-lived allocation percentage
    pub long_lived_percentage: f32,
    /// Lifetime correlation with size
    pub size_lifetime_correlation: f64,
    /// Lifetime prediction accuracy
    pub prediction_accuracy: f32,
}
/// Trend identification
#[derive(Debug, Clone)]
pub struct Trend {
    /// Trend identifier
    pub id: String,
    /// Trend type
    pub trend_type: TrendType,
    /// Trend strength
    pub strength: f32,
    /// Trend duration
    pub duration: Duration,
    /// Trend significance
    pub significance: f64,
    /// Trend prediction
    pub prediction: TrendPrediction,
}
/// Device-specific memory statistics
#[derive(Debug, Clone)]
pub struct DeviceMemoryStatistics {
    /// Device ID
    pub device_id: usize,
    /// Base allocation statistics
    pub allocation_stats: AllocationStats,
    /// Memory usage over time
    pub usage_history: VecDeque<MemoryUsageSnapshot>,
    /// Allocation size distribution
    pub size_distribution: SizeDistribution,
    /// Allocation lifetime statistics
    pub lifetime_stats: LifetimeStatistics,
    /// Memory efficiency metrics
    pub efficiency_metrics: EfficiencyMetrics,
    /// Fragmentation analysis
    pub fragmentation_analysis: FragmentationAnalysis,
    /// Performance characteristics
    pub performance_characteristics: PerformanceCharacteristics,
    /// Error and failure statistics
    pub error_statistics: ErrorStatistics,
}
impl DeviceMemoryStatistics {
    fn new(device_id: usize) -> Self {
        Self {
            device_id,
            allocation_stats: AllocationStats::default(),
            usage_history: VecDeque::new(),
            size_distribution: SizeDistribution::default(),
            lifetime_stats: LifetimeStatistics::default(),
            efficiency_metrics: EfficiencyMetrics::default(),
            fragmentation_analysis: FragmentationAnalysis::default(),
            performance_characteristics: PerformanceCharacteristics::default(),
            error_statistics: ErrorStatistics::default(),
        }
    }
}
/// Trend directions
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum TrendDirection {
    Up,
    Down,
    Stable,
    Volatile,
}
/// Business impact levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum BusinessImpactLevel {
    None,
    Low,
    Medium,
    High,
    Critical,
}
/// Load scaling characteristics
#[derive(Debug, Clone)]
pub struct LoadScalingCharacteristics {
    /// How performance scales with load
    pub scaling_pattern: ScalingPattern,
    /// Load threshold where performance degrades
    pub degradation_threshold: f32,
    /// Maximum sustainable load
    pub max_sustainable_load: f32,
    /// Recovery time after load spikes
    pub recovery_time: Duration,
}
/// Trend prediction
#[derive(Debug, Clone)]
pub struct TrendPrediction {
    /// Predicted direction
    pub direction: TrendDirection,
    /// Prediction confidence
    pub confidence: f32,
    /// Time horizon
    pub time_horizon: Duration,
    /// Expected change magnitude
    pub magnitude: f32,
}
/// Comprehensive CUDA memory statistics manager
///
/// Tracks and analyzes memory usage patterns across all CUDA memory types
/// providing detailed insights, trend analysis, and predictive analytics.
#[derive(Debug)]
pub struct CudaMemoryStatisticsManager {
    /// Device-specific statistics
    pub(crate) device_stats: RwLock<HashMap<usize, DeviceMemoryStatistics>>,
    /// Unified memory statistics
    unified_stats: Mutex<UnifiedMemoryStatistics>,
    /// Pinned memory statistics
    pinned_stats: Mutex<PinnedMemoryStatistics>,
    /// Global memory statistics
    global_stats: Mutex<GlobalMemoryStatistics>,
    /// Historical data storage
    historical_data: Arc<Mutex<HistoricalDataManager>>,
    /// Performance metrics tracker
    performance_metrics: Arc<RwLock<PerformanceMetricsTracker>>,
    /// Statistical analyzer
    analyzer: Arc<Mutex<StatisticalAnalyzer>>,
    /// Trend analyzer
    trend_analyzer: Arc<Mutex<TrendAnalyzer>>,
    /// Predictive analytics engine
    predictive_engine: Arc<Mutex<PredictiveAnalytics>>,
    /// Configuration settings
    pub(crate) config: StatisticsConfig,
}
impl CudaMemoryStatisticsManager {
    /// Create new statistics manager
    pub fn new(config: StatisticsConfig) -> Self {
        Self {
            device_stats: RwLock::new(HashMap::new()),
            unified_stats: Mutex::new(UnifiedMemoryStatistics::default()),
            pinned_stats: Mutex::new(PinnedMemoryStatistics::default()),
            global_stats: Mutex::new(GlobalMemoryStatistics::default()),
            historical_data: Arc::new(Mutex::new(HistoricalDataManager::new())),
            performance_metrics: Arc::new(RwLock::new(PerformanceMetricsTracker::new())),
            analyzer: Arc::new(Mutex::new(StatisticalAnalyzer::new())),
            trend_analyzer: Arc::new(Mutex::new(TrendAnalyzer::new())),
            predictive_engine: Arc::new(Mutex::new(PredictiveAnalytics::new())),
            config,
        }
    }
    /// Update device statistics
    pub fn update_device_stats(&self, device_id: usize, stats: &AllocationStats) {
        if let Ok(mut device_stats) = self.device_stats.write() {
            let device_entry = device_stats
                .entry(device_id)
                .or_insert_with(|| DeviceMemoryStatistics::new(device_id));
            device_entry.allocation_stats = stats.clone();
            let snapshot = MemoryUsageSnapshot {
                timestamp: Instant::now(),
                total_allocated: stats.current_bytes_allocated as usize,
                available_memory: 0,
                allocation_count: stats.active_allocations as usize,
                peak_usage: stats.peak_bytes_allocated as usize,
                average_allocation_size: stats.average_allocation_size as f64,
                utilization_percentage: 0.0,
                pressure_level: MemoryPressureLevel::Low,
            };
            device_entry.usage_history.push_back(snapshot);
            while device_entry.usage_history.len() > self.config.max_historical_points {
                device_entry.usage_history.pop_front();
            }
        }
    }
    /// Get comprehensive statistics report
    pub fn get_comprehensive_report(&self) -> StatisticsReport {
        let device_stats = self
            .device_stats
            .read()
            .expect("lock should not be poisoned")
            .clone();
        let unified_stats = self
            .unified_stats
            .lock()
            .expect("lock should not be poisoned")
            .clone();
        let pinned_stats = self
            .pinned_stats
            .lock()
            .expect("lock should not be poisoned")
            .clone();
        let global_stats = self
            .global_stats
            .lock()
            .expect("lock should not be poisoned")
            .clone();
        StatisticsReport {
            device_statistics: device_stats,
            unified_statistics: unified_stats,
            pinned_statistics: pinned_stats,
            global_statistics: global_stats,
            generation_time: Instant::now(),
        }
    }
    /// Run predictive analysis
    pub fn run_predictive_analysis(&self) -> Vec<PredictionResult> {
        if let Ok(mut engine) = self.predictive_engine.lock() {
            engine.generate_predictions()
        } else {
            Vec::new()
        }
    }
}
/// Transfer performance metrics
#[derive(Debug, Clone)]
pub struct TransferPerformanceMetrics {
    /// Average bandwidth achieved
    pub average_bandwidth: f64,
    /// Peak bandwidth achieved
    pub peak_bandwidth: f64,
    /// Bandwidth consistency
    pub bandwidth_consistency: f32,
    /// Latency statistics
    pub latency_stats: LatencyStatistics,
    /// Performance vs theoretical maximum
    pub efficiency_vs_max: f32,
}
/// Memory pressure levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Default)]
pub enum MemoryPressureLevel {
    #[default]
    None,
    Low,
    Medium,
    High,
    Critical,
}
/// Memory usage snapshot at a point in time
#[derive(Debug, Clone)]
pub struct MemoryUsageSnapshot {
    /// Timestamp of snapshot
    pub timestamp: Instant,
    /// Total allocated memory
    pub total_allocated: usize,
    /// Available memory
    pub available_memory: usize,
    /// Number of allocations
    pub allocation_count: usize,
    /// Peak memory usage in this period
    pub peak_usage: usize,
    /// Average allocation size
    pub average_allocation_size: f64,
    /// Memory utilization percentage
    pub utilization_percentage: f32,
    /// Memory pressure level
    pub pressure_level: MemoryPressureLevel,
}
/// Migration cost-benefit analysis
#[derive(Debug, Clone)]
pub struct MigrationCostBenefit {
    /// Total migration costs
    pub total_cost: f64,
    /// Total benefits gained
    pub total_benefit: f64,
    /// Net benefit
    pub net_benefit: f64,
    /// Return on investment
    pub return_on_investment: f32,
}
/// Performance characteristics of transfer patterns
#[derive(Debug, Clone)]
pub struct TransferPatternPerformance {
    /// Average bandwidth
    pub bandwidth: f64,
    /// Latency characteristics
    pub latency: Duration,
    /// Efficiency score
    pub efficiency: f32,
    /// Optimization potential
    pub optimization_potential: f32,
}
/// Memory usage breakdown across types
#[derive(Debug, Clone)]
pub struct MemoryUsageBreakdown {
    /// Device memory usage
    pub device_memory: usize,
    /// Unified memory usage
    pub unified_memory: usize,
    /// Pinned memory usage
    pub pinned_memory: usize,
    /// Total memory usage
    pub total_usage: usize,
    /// Usage percentages
    pub usage_percentages: MemoryUsagePercentages,
}
/// System scalability patterns
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ScalabilityPattern {
    Linear,
    Sublinear,
    Superlinear,
    Logarithmic,
    Plateau,
    Declining,
}
/// Performance bottleneck analysis
#[derive(Debug, Clone)]
pub struct BottleneckAnalysis {
    /// Identified bottlenecks
    pub bottlenecks: Vec<SystemBottleneck>,
    /// Primary bottleneck
    pub primary_bottleneck: Option<SystemBottleneck>,
    /// Bottleneck impact assessment
    pub impact_assessment: BottleneckImpactAssessment,
    /// Resolution recommendations
    pub recommendations: Vec<BottleneckResolution>,
}
/// Unified memory migration statistics
#[derive(Debug, Clone)]
pub struct MigrationStatistics {
    /// Total migrations performed
    pub total_migrations: u64,
    /// Migration frequency per allocation
    pub migration_frequency: f64,
    /// Migration overhead percentage
    pub migration_overhead: f32,
    /// Migration effectiveness score
    pub effectiveness_score: f32,
    /// Migration patterns
    pub patterns: Vec<MigrationPattern>,
    /// Cost-benefit analysis
    pub cost_benefit: MigrationCostBenefit,
}
/// Historical performance record
#[derive(Debug, Clone)]
pub struct HistoricalPerformance {
    /// Timestamp
    pub timestamp: SystemTime,
    /// Performance snapshot
    pub performance: PerformanceSnapshot,
    /// Operation counts
    pub operation_counts: HashMap<String, u64>,
    /// Latency measurements
    pub latencies: HashMap<String, Duration>,
}
/// Throughput metrics for memory operations
#[derive(Debug, Clone)]
pub struct ThroughputMetrics {
    /// Operations per second
    pub operations_per_second: f64,
    /// Bytes per second throughput
    pub bytes_per_second: f64,
    /// Peak throughput achieved
    pub peak_throughput: f64,
    /// Throughput consistency score
    pub consistency_score: f32,
    /// Throughput efficiency vs theoretical maximum
    pub efficiency_vs_theoretical: f32,
}
/// Analysis results
#[derive(Debug, Clone)]
pub struct AnalysisResult {
    /// Analysis type
    pub analysis_type: String,
    /// Results data
    pub results: HashMap<String, f64>,
    /// Confidence level
    pub confidence: f32,
    /// Analysis timestamp
    pub timestamp: Instant,
}
/// Statistical analysis configuration
#[derive(Debug, Clone)]
pub struct StatisticalAnalysisConfig {
    /// Minimum sample size for analysis
    pub min_sample_size: usize,
    /// Confidence interval
    pub confidence_interval: f64,
    /// Enable outlier detection
    pub enable_outlier_detection: bool,
    /// Statistical significance threshold
    pub significance_threshold: f64,
}
/// Defragmentation complexity levels
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum DefragmentationComplexity {
    Simple,
    Moderate,
    Complex,
    VeryComplex,
}
/// Data compression settings
#[derive(Debug, Clone)]
pub struct CompressionSettings {
    /// Enable compression
    pub enable_compression: bool,
    /// Compression ratio target
    pub compression_ratio: f32,
    /// Compression algorithm preference
    pub algorithm: CompressionAlgorithm,
}
/// Transfer pattern analysis
#[derive(Debug, Clone)]
pub struct TransferPattern {
    /// Pattern identifier
    pub pattern_id: String,
    /// Transfer direction
    pub direction: TransferDirection,
    /// Pattern frequency
    pub frequency: f64,
    /// Average transfer size in pattern
    pub average_size: f64,
    /// Performance characteristics
    pub performance: TransferPatternPerformance,
}
/// Advice-based optimization opportunities
#[derive(Debug, Clone)]
pub struct AdviceOptimization {
    /// Advice type
    pub advice_type: String,
    /// Current effectiveness
    pub current_effectiveness: f32,
    /// Potential improvement
    pub potential_improvement: f32,
    /// Optimization strategy
    pub strategy: String,
}
/// System latency characteristics
#[derive(Debug, Clone)]
pub struct SystemLatencyCharacteristics {
    /// Average system latency
    pub average_latency: Duration,
    /// Latency percentiles
    pub percentiles: PercentileStats,
    /// Latency consistency
    pub consistency: f32,
    /// Latency under different loads
    pub load_latency: LoadLatencyCharacteristics,
}
/// Mapping overhead analysis
#[derive(Debug, Clone)]
pub struct MappingOverheadAnalysis {
    /// Setup overhead per mapping
    pub setup_overhead: Duration,
    /// Memory overhead per mapping
    pub memory_overhead: usize,
    /// Performance overhead
    pub performance_overhead: f32,
    /// Overall overhead score
    pub overall_overhead: f32,
}
/// User experience impact levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum UserImpactLevel {
    None,
    Minimal,
    Noticeable,
    Significant,
    Severe,
}
/// Pattern-based optimization opportunities
#[derive(Debug, Clone)]
pub struct PatternOptimization {
    /// Optimization description
    pub description: String,
    /// Expected performance improvement
    pub expected_improvement: f32,
    /// Implementation complexity
    pub complexity: OptimizationComplexity,
    /// Confidence in the optimization
    pub confidence: f32,
}
/// Access pattern identification
#[derive(Debug, Clone)]
pub struct AccessPattern {
    /// Pattern type
    pub pattern_type: AccessPatternType,
    /// Pattern strength (0.0 to 1.0)
    pub strength: f32,
    /// Pattern duration
    pub duration: Duration,
    /// Devices involved
    pub devices: Vec<usize>,
    /// Performance characteristics
    pub performance: AccessPerformance,
}
/// Severity levels for latency spikes
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum SpikeSeverity {
    Minor,
    Moderate,
    Major,
    Critical,
}
/// Bottleneck severity levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum BottleneckSeverity {
    Minor,
    Moderate,
    Significant,
    Major,
    Critical,
}
/// Bottleneck impact assessment
#[derive(Debug, Clone)]
pub struct BottleneckImpactAssessment {
    /// Performance degradation
    pub performance_degradation: f32,
    /// Resource waste
    pub resource_waste: f32,
    /// User experience impact
    pub user_impact: UserImpactLevel,
    /// Business impact
    pub business_impact: BusinessImpactLevel,
}
/// Scalability bottlenecks
#[derive(Debug, Clone)]
pub struct ScalabilityBottleneck {
    /// Bottleneck component
    pub component: String,
    /// Impact on scalability
    pub impact: f32,
    /// Resolution complexity
    pub resolution_complexity: OptimizationComplexity,
}
/// System bottleneck identification
#[derive(Debug, Clone)]
pub struct SystemBottleneck {
    /// Bottleneck location
    pub location: String,
    /// Bottleneck type
    pub bottleneck_type: BottleneckType,
    /// Severity level
    pub severity: BottleneckSeverity,
    /// Performance impact
    pub performance_impact: f32,
    /// Frequency of occurrence
    pub frequency: f32,
}
/// Statistical model for analysis
#[derive(Debug, Clone)]
pub struct StatisticalModel {
    /// Model name
    pub name: String,
    /// Model type
    pub model_type: ModelType,
    /// Model parameters
    pub parameters: HashMap<String, f64>,
    /// Model accuracy
    pub accuracy: f32,
    /// Last training time
    pub last_training: Instant,
}
