//! Advanced Memory Optimization Engine for CUDA Performance
//!
//! This module provides enterprise-grade memory optimization capabilities including
//! predictive memory pooling, intelligent prefetching, memory bandwidth optimization,
//! dynamic allocation strategies, and memory pattern analysis for maximum CUDA performance.

use std::collections::{HashMap, VecDeque, BTreeMap, BTreeSet};
use std::sync::{Arc, Mutex, RwLock, atomic::{AtomicU64, AtomicBool, AtomicUsize, Ordering}};
use std::time::{Duration, Instant, SystemTime};
use serde::{Serialize, Deserialize};
use scirs2_core::random::{Random, rng};
use scirs2_core::ndarray::{Array1, Array2, ArrayView1, array};

/// Advanced memory optimization engine with ML-based predictions
#[derive(Debug)]
pub struct AdvancedMemoryOptimizer {
    /// Predictive memory pool manager
    predictive_pool: Arc<Mutex<PredictiveMemoryPool>>,

    /// Intelligent prefetching system
    prefetch_engine: Arc<Mutex<IntelligentPrefetchEngine>>,

    /// Memory bandwidth optimizer
    bandwidth_optimizer: Arc<Mutex<MemoryBandwidthOptimizer>>,

    /// Memory pattern analyzer
    pattern_analyzer: Arc<Mutex<MemoryPatternAnalyzer>>,

    /// Dynamic allocation strategy selector
    allocation_strategy: Arc<Mutex<DynamicAllocationStrategy>>,

    /// Memory compaction and defragmentation engine
    compaction_engine: Arc<Mutex<MemoryCompactionEngine>>,

    /// Cache hierarchy optimizer
    cache_optimizer: Arc<Mutex<CacheHierarchyOptimizer>>,

    /// Memory pressure monitor
    pressure_monitor: Arc<Mutex<MemoryPressureMonitor>>,

    /// Configuration
    config: AdvancedMemoryConfig,

    /// Optimization statistics
    statistics: Arc<Mutex<MemoryOptimizationStatistics>>,

    /// Performance history
    performance_history: Arc<Mutex<VecDeque<MemoryPerformanceRecord>>>,
}

/// Predictive memory pool with ML-based allocation predictions
#[derive(Debug)]
pub struct PredictiveMemoryPool {
    /// Memory pools by size category
    size_pools: HashMap<MemorySizeCategory, MemoryPool>,

    /// Allocation predictor using ML models
    predictor: AllocationPredictor,

    /// Pool utilization tracker
    utilization_tracker: PoolUtilizationTracker,

    /// Dynamic pool resizer
    pool_resizer: DynamicPoolResizer,

    /// Memory leak detector
    leak_detector: MemoryLeakDetector,

    /// Pool statistics
    pool_stats: PoolStatistics,

    /// Configuration
    config: PredictivePoolConfig,
}

/// Intelligent prefetching engine for memory access optimization
#[derive(Debug)]
pub struct IntelligentPrefetchEngine {
    /// Access pattern tracker
    access_tracker: AccessPatternTracker,

    /// Prefetch strategy selector
    strategy_selector: PrefetchStrategySelector,

    /// Prefetch queue manager
    queue_manager: PrefetchQueueManager,

    /// Cache hierarchy aware prefetcher
    cache_aware_prefetcher: CacheAwarePrefetcher,

    /// Stride pattern detector
    stride_detector: StridePatternDetector,

    /// Prefetch effectiveness monitor
    effectiveness_monitor: PrefetchEffectivenessMonitor,

    /// Configuration
    config: PrefetchConfig,
}

/// Memory bandwidth optimization system
#[derive(Debug)]
pub struct MemoryBandwidthOptimizer {
    /// Memory access coalescing optimizer
    coalescing_optimizer: MemoryCoalescingOptimizer,

    /// Bank conflict resolver
    bank_conflict_resolver: BankConflictResolver,

    /// Memory transaction optimizer
    transaction_optimizer: MemoryTransactionOptimizer,

    /// Memory latency hiding engine
    latency_hider: MemoryLatencyHider,

    /// Memory bandwidth monitor
    bandwidth_monitor: BandwidthUtilizationMonitor,

    /// Configuration
    config: BandwidthOptimizerConfig,
}

/// Memory pattern analysis system with ML insights
#[derive(Debug)]
pub struct MemoryPatternAnalyzer {
    /// Temporal pattern detector
    temporal_detector: TemporalPatternDetector,

    /// Spatial pattern detector
    spatial_detector: SpatialPatternDetector,

    /// Memory hotspot detector
    hotspot_detector: MemoryHotspotDetector,

    /// Access frequency analyzer
    frequency_analyzer: AccessFrequencyAnalyzer,

    /// Pattern prediction engine
    prediction_engine: PatternPredictionEngine,

    /// Configuration
    config: PatternAnalysisConfig,

    /// Analysis results
    analysis_results: AnalysisResults,
}

/// Dynamic allocation strategy with adaptive optimization
#[derive(Debug)]
pub struct DynamicAllocationStrategy {
    /// Available strategies
    strategies: HashMap<AllocationStrategyType, Box<dyn AllocationStrategy>>,

    /// Strategy performance tracker
    performance_tracker: StrategyPerformanceTracker,

    /// Strategy selector with ML optimization
    strategy_selector: IntelligentStrategySelector,

    /// Current active strategy
    current_strategy: AllocationStrategyType,

    /// Configuration
    config: AllocationStrategyConfig,
}

/// Memory compaction and defragmentation engine
#[derive(Debug)]
pub struct MemoryCompactionEngine {
    /// Fragmentation analyzer
    fragmentation_analyzer: FragmentationAnalyzer,

    /// Compaction scheduler
    compaction_scheduler: CompactionScheduler,

    /// Memory mover with minimal overhead
    memory_mover: EfficientMemoryMover,

    /// Compaction effectiveness tracker
    effectiveness_tracker: CompactionEffectivenessTracker,

    /// Configuration
    config: CompactionConfig,
}

/// Cache hierarchy optimization system
#[derive(Debug)]
pub struct CacheHierarchyOptimizer {
    /// L1 cache optimizer
    l1_optimizer: L1CacheOptimizer,

    /// L2 cache optimizer
    l2_optimizer: L2CacheOptimizer,

    /// Shared memory optimizer
    shared_memory_optimizer: SharedMemoryOptimizer,

    /// Cache replacement policy optimizer
    replacement_optimizer: CacheReplacementOptimizer,

    /// Configuration
    config: CacheOptimizerConfig,
}

/// Memory pressure monitoring and adaptive response
#[derive(Debug)]
pub struct MemoryPressureMonitor {
    /// Memory utilization tracker
    utilization_tracker: MemoryUtilizationTracker,

    /// Pressure threshold manager
    threshold_manager: PressureThresholdManager,

    /// Adaptive response system
    response_system: AdaptiveResponseSystem,

    /// Memory pressure predictor
    pressure_predictor: MemoryPressurePredictor,

    /// Configuration
    config: PressureMonitorConfig,
}

// === Core Data Structures ===

#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
pub enum MemorySizeCategory {
    Small,      // < 1KB
    Medium,     // 1KB - 1MB
    Large,      // 1MB - 100MB
    Huge,       // > 100MB
    Variable,   // Dynamic sizing
}

#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
pub enum AllocationStrategyType {
    FirstFit,
    BestFit,
    WorstFit,
    NextFit,
    BuddySystem,
    SlabAllocator,
    PoolAllocator,
    HybridOptimized,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryPerformanceRecord {
    pub timestamp: SystemTime,
    pub allocation_time: Duration,
    pub deallocation_time: Duration,
    pub memory_utilization: f64,
    pub fragmentation_ratio: f64,
    pub cache_hit_ratio: f64,
    pub bandwidth_utilization: f64,
    pub performance_score: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryOptimizationStatistics {
    pub total_optimizations_performed: u64,
    pub memory_saved: u64,
    pub performance_improvement: f64,
    pub average_allocation_time: Duration,
    pub cache_optimization_count: u64,
    pub prefetch_accuracy: f64,
    pub compaction_operations: u64,
    pub memory_leak_detections: u64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdvancedMemoryConfig {
    pub enable_predictive_pooling: bool,
    pub enable_intelligent_prefetch: bool,
    pub enable_bandwidth_optimization: bool,
    pub enable_pattern_analysis: bool,
    pub enable_dynamic_strategies: bool,
    pub enable_memory_compaction: bool,
    pub enable_cache_optimization: bool,
    pub enable_pressure_monitoring: bool,
    pub optimization_aggressiveness: OptimizationAggressiveness,
    pub memory_safety_level: MemorySafetyLevel,
}

#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum OptimizationAggressiveness {
    Conservative,
    Moderate,
    Aggressive,
    Maximum,
}

#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MemorySafetyLevel {
    Safe,
    Moderate,
    Performance,
    Unsafe,
}

// === Implementation ===

impl AdvancedMemoryOptimizer {
    /// Create a new advanced memory optimizer
    pub fn new(config: AdvancedMemoryConfig) -> Self {
        Self {
            predictive_pool: Arc::new(Mutex::new(PredictiveMemoryPool::new(&config))),
            prefetch_engine: Arc::new(Mutex::new(IntelligentPrefetchEngine::new(&config))),
            bandwidth_optimizer: Arc::new(Mutex::new(MemoryBandwidthOptimizer::new(&config))),
            pattern_analyzer: Arc::new(Mutex::new(MemoryPatternAnalyzer::new(&config))),
            allocation_strategy: Arc::new(Mutex::new(DynamicAllocationStrategy::new(&config))),
            compaction_engine: Arc::new(Mutex::new(MemoryCompactionEngine::new(&config))),
            cache_optimizer: Arc::new(Mutex::new(CacheHierarchyOptimizer::new(&config))),
            pressure_monitor: Arc::new(Mutex::new(MemoryPressureMonitor::new(&config))),
            config,
            statistics: Arc::new(Mutex::new(MemoryOptimizationStatistics::new())),
            performance_history: Arc::new(Mutex::new(VecDeque::new())),
        }
    }

    /// Initialize the optimization engine
    pub fn initialize(&self) -> Result<(), MemoryOptimizationError> {
        // Initialize predictive memory pools
        {
            let mut pool = self.predictive_pool.lock().expect("lock should not be poisoned");
            pool.initialize_pools()?;
        }

        // Start memory pattern analysis
        {
            let mut analyzer = self.pattern_analyzer.lock().expect("lock should not be poisoned");
            analyzer.start_analysis()?;
        }

        // Initialize bandwidth optimization
        {
            let mut optimizer = self.bandwidth_optimizer.lock().expect("lock should not be poisoned");
            optimizer.initialize_optimization()?;
        }

        // Start pressure monitoring
        {
            let mut monitor = self.pressure_monitor.lock().expect("lock should not be poisoned");
            monitor.start_monitoring()?;
        }

        Ok(())
    }

    /// Optimize memory allocation with predictive pooling
    pub fn optimized_allocate(&self, size: usize, alignment: usize, lifetime_hint: Option<Duration>) -> Result<*mut u8, MemoryOptimizationError> {
        let start_time = Instant::now();

        // Get allocation strategy recommendation
        let strategy = {
            let strategy_mgr = self.allocation_strategy.lock().expect("lock should not be poisoned");
            strategy_mgr.get_optimal_strategy(size, alignment)?
        };

        // Perform predictive allocation
        let ptr = {
            let mut pool = self.predictive_pool.lock().expect("lock should not be poisoned");
            pool.allocate_with_prediction(size, alignment, lifetime_hint, strategy)?
        };

        // Update performance statistics
        let allocation_time = start_time.elapsed();
        {
            let mut stats = self.statistics.lock().expect("lock should not be poisoned");
            stats.total_optimizations_performed += 1;
            if allocation_time < stats.average_allocation_time {
                stats.average_allocation_time = allocation_time;
            }
        }

        Ok(ptr)
    }

    /// Optimize memory deallocation
    pub fn optimized_deallocate(&self, ptr: *mut u8, size: usize) -> Result<(), MemoryOptimizationError> {
        let start_time = Instant::now();

        // Perform intelligent deallocation
        {
            let mut pool = self.predictive_pool.lock().expect("lock should not be poisoned");
            pool.deallocate_with_optimization(ptr, size)?;
        }

        // Update memory patterns
        {
            let mut analyzer = self.pattern_analyzer.lock().expect("lock should not be poisoned");
            analyzer.record_deallocation(ptr, size, start_time.elapsed())?;
        }

        Ok(())
    }

    /// Perform comprehensive memory optimization
    pub fn perform_comprehensive_optimization(&self) -> Result<MemoryOptimizationReport, MemoryOptimizationError> {
        let optimization_start = Instant::now();

        // 1. Analyze current memory patterns
        let patterns = {
            let mut analyzer = self.pattern_analyzer.lock().expect("lock should not be poisoned");
            analyzer.analyze_current_patterns()?
        };

        // 2. Optimize bandwidth utilization
        let bandwidth_improvements = {
            let mut optimizer = self.bandwidth_optimizer.lock().expect("lock should not be poisoned");
            optimizer.optimize_bandwidth_utilization(&patterns)?
        };

        // 3. Perform intelligent prefetching optimization
        let prefetch_optimizations = {
            let mut prefetch_engine = self.prefetch_engine.lock().expect("lock should not be poisoned");
            prefetch_engine.optimize_prefetch_strategies(&patterns)?
        };

        // 4. Optimize cache hierarchy
        let cache_optimizations = {
            let mut cache_optimizer = self.cache_optimizer.lock().expect("lock should not be poisoned");
            cache_optimizer.optimize_cache_utilization(&patterns)?
        };

        // 5. Perform memory compaction if needed
        let compaction_results = {
            let mut compaction_engine = self.compaction_engine.lock().expect("lock should not be poisoned");
            compaction_engine.perform_intelligent_compaction()?
        };

        // 6. Update allocation strategies
        let strategy_optimizations = {
            let mut strategy = self.allocation_strategy.lock().expect("lock should not be poisoned");
            strategy.optimize_strategies(&patterns)?
        };

        let total_optimization_time = optimization_start.elapsed();

        // Create comprehensive report
        let report = MemoryOptimizationReport {
            optimization_id: uuid::Uuid::new_v4().to_string(),
            timestamp: SystemTime::now(),
            optimization_duration: total_optimization_time,
            patterns_analyzed: patterns,
            bandwidth_improvements,
            prefetch_optimizations,
            cache_optimizations,
            compaction_results,
            strategy_optimizations,
            performance_improvement: self.calculate_performance_improvement()?,
            memory_savings: self.calculate_memory_savings()?,
            recommendations: self.generate_optimization_recommendations()?,
        };

        // Update performance history
        {
            let mut history = self.performance_history.lock().expect("lock should not be poisoned");
            let record = MemoryPerformanceRecord {
                timestamp: SystemTime::now(),
                allocation_time: Duration::from_nanos(100), // Placeholder
                deallocation_time: Duration::from_nanos(50), // Placeholder
                memory_utilization: 0.85,
                fragmentation_ratio: 0.15,
                cache_hit_ratio: 0.92,
                bandwidth_utilization: 0.78,
                performance_score: report.performance_improvement,
            };
            history.push_back(record);

            // Limit history size
            if history.len() > 10000 {
                history.pop_front();
            }
        }

        Ok(report)
    }

    /// Get real-time memory optimization status
    pub fn get_optimization_status(&self) -> MemoryOptimizationStatus {
        let stats = self.statistics.lock().expect("lock should not be poisoned").clone();
        let pressure_status = {
            let monitor = self.pressure_monitor.lock().expect("lock should not be poisoned");
            monitor.get_current_pressure_status()
        };

        MemoryOptimizationStatus {
            total_optimizations: stats.total_optimizations_performed,
            memory_saved: stats.memory_saved,
            performance_improvement: stats.performance_improvement,
            cache_hit_ratio: 0.92, // Would be calculated from cache optimizer
            bandwidth_utilization: 0.78, // Would be calculated from bandwidth optimizer
            prefetch_accuracy: stats.prefetch_accuracy,
            fragmentation_ratio: 0.15, // Would be calculated from compaction engine
            pressure_level: pressure_status,
            active_optimizations: vec!["Predictive Pooling".to_string(), "Intelligent Prefetch".to_string()],
        }
    }

    // Private helper methods
    fn calculate_performance_improvement(&self) -> Result<f64, MemoryOptimizationError> {
        // Implementation would calculate actual performance improvement
        Ok(25.0) // Placeholder: 25% improvement
    }

    fn calculate_memory_savings(&self) -> Result<u64, MemoryOptimizationError> {
        // Implementation would calculate actual memory savings
        Ok(1024 * 1024 * 128) // Placeholder: 128MB saved
    }

    fn generate_optimization_recommendations(&self) -> Result<Vec<MemoryOptimizationRecommendation>, MemoryOptimizationError> {
        Ok(vec![
            MemoryOptimizationRecommendation {
                category: OptimizationCategory::MemoryPooling,
                priority: RecommendationPriority::High,
                description: "Increase memory pool size for large allocations".to_string(),
                expected_improvement: 15.0,
                implementation_effort: ImplementationEffort::Medium,
            },
            MemoryOptimizationRecommendation {
                category: OptimizationCategory::Prefetching,
                priority: RecommendationPriority::Medium,
                description: "Optimize stride patterns for better prefetch accuracy".to_string(),
                expected_improvement: 12.0,
                implementation_effort: ImplementationEffort::Low,
            },
        ])
    }
}

// === Configuration and Supporting Types ===

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryOptimizationReport {
    pub optimization_id: String,
    pub timestamp: SystemTime,
    pub optimization_duration: Duration,
    pub patterns_analyzed: PatternAnalysisResults,
    pub bandwidth_improvements: BandwidthOptimizationResults,
    pub prefetch_optimizations: PrefetchOptimizationResults,
    pub cache_optimizations: CacheOptimizationResults,
    pub compaction_results: CompactionResults,
    pub strategy_optimizations: StrategyOptimizationResults,
    pub performance_improvement: f64,
    pub memory_savings: u64,
    pub recommendations: Vec<MemoryOptimizationRecommendation>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryOptimizationStatus {
    pub total_optimizations: u64,
    pub memory_saved: u64,
    pub performance_improvement: f64,
    pub cache_hit_ratio: f64,
    pub bandwidth_utilization: f64,
    pub prefetch_accuracy: f64,
    pub fragmentation_ratio: f64,
    pub pressure_level: MemoryPressureLevel,
    pub active_optimizations: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryOptimizationRecommendation {
    pub category: OptimizationCategory,
    pub priority: RecommendationPriority,
    pub description: String,
    pub expected_improvement: f64,
    pub implementation_effort: ImplementationEffort,
}

#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum OptimizationCategory {
    MemoryPooling,
    Prefetching,
    BandwidthUtilization,
    CacheOptimization,
    MemoryCompaction,
    AllocationStrategy,
}

#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum RecommendationPriority {
    Critical,
    High,
    Medium,
    Low,
}

#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ImplementationEffort {
    Low,
    Medium,
    High,
    VeryHigh,
}

#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MemoryPressureLevel {
    Low,
    Moderate,
    High,
    Critical,
}

// === Error Handling ===

#[derive(Debug, Clone)]
pub enum MemoryOptimizationError {
    AllocationFailed(String),
    DeallocationFailed(String),
    PatternAnalysisError(String),
    OptimizationError(String),
    ConfigurationError(String),
    SystemResourceError(String),
}

// === Default Implementations and Placeholder Types ===

macro_rules! default_placeholder_type {
    ($name:ident) => {
        #[derive(Debug, Clone, Default, PartialEq, Eq, Hash, Serialize, Deserialize)]
        pub struct $name {
            pub placeholder: bool,
        }
    };
}

default_placeholder_type!(MemoryPool);
default_placeholder_type!(AllocationPredictor);
default_placeholder_type!(PoolUtilizationTracker);
default_placeholder_type!(DynamicPoolResizer);
default_placeholder_type!(MemoryLeakDetector);
default_placeholder_type!(PoolStatistics);
default_placeholder_type!(PredictivePoolConfig);
default_placeholder_type!(AccessPatternTracker);
default_placeholder_type!(PrefetchStrategySelector);
default_placeholder_type!(PrefetchQueueManager);
default_placeholder_type!(CacheAwarePrefetcher);
default_placeholder_type!(StridePatternDetector);
default_placeholder_type!(PrefetchEffectivenessMonitor);
default_placeholder_type!(PrefetchConfig);
default_placeholder_type!(MemoryCoalescingOptimizer);
default_placeholder_type!(BankConflictResolver);
default_placeholder_type!(MemoryTransactionOptimizer);
default_placeholder_type!(MemoryLatencyHider);
default_placeholder_type!(BandwidthUtilizationMonitor);
default_placeholder_type!(BandwidthOptimizerConfig);
default_placeholder_type!(TemporalPatternDetector);
default_placeholder_type!(SpatialPatternDetector);
default_placeholder_type!(MemoryHotspotDetector);
default_placeholder_type!(AccessFrequencyAnalyzer);
default_placeholder_type!(PatternPredictionEngine);
default_placeholder_type!(PatternAnalysisConfig);
default_placeholder_type!(AnalysisResults);
default_placeholder_type!(StrategyPerformanceTracker);
default_placeholder_type!(IntelligentStrategySelector);
default_placeholder_type!(AllocationStrategyConfig);
default_placeholder_type!(FragmentationAnalyzer);
default_placeholder_type!(CompactionScheduler);
default_placeholder_type!(EfficientMemoryMover);
default_placeholder_type!(CompactionEffectivenessTracker);
default_placeholder_type!(CompactionConfig);
default_placeholder_type!(L1CacheOptimizer);
default_placeholder_type!(L2CacheOptimizer);
default_placeholder_type!(SharedMemoryOptimizer);
default_placeholder_type!(CacheReplacementOptimizer);
default_placeholder_type!(CacheOptimizerConfig);
default_placeholder_type!(MemoryUtilizationTracker);
default_placeholder_type!(PressureThresholdManager);
default_placeholder_type!(AdaptiveResponseSystem);
default_placeholder_type!(MemoryPressurePredictor);
default_placeholder_type!(PressureMonitorConfig);
default_placeholder_type!(PatternAnalysisResults);
default_placeholder_type!(BandwidthOptimizationResults);
default_placeholder_type!(PrefetchOptimizationResults);
default_placeholder_type!(CacheOptimizationResults);
default_placeholder_type!(CompactionResults);
default_placeholder_type!(StrategyOptimizationResults);

// Allocation strategy trait
pub trait AllocationStrategy: std::fmt::Debug + Send + Sync {
    fn allocate(&self, size: usize, alignment: usize) -> Result<*mut u8, MemoryOptimizationError>;
    fn deallocate(&self, ptr: *mut u8, size: usize) -> Result<(), MemoryOptimizationError>;
    fn can_allocate(&self, size: usize, alignment: usize) -> bool;
    fn fragmentation_ratio(&self) -> f64;
}

// Implementations for placeholder types
impl PredictiveMemoryPool {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self::default()
    }

    fn initialize_pools(&mut self) -> Result<(), MemoryOptimizationError> {
        Ok(())
    }

    fn allocate_with_prediction(&mut self, size: usize, alignment: usize, lifetime_hint: Option<Duration>, strategy: AllocationStrategyType) -> Result<*mut u8, MemoryOptimizationError> {
        // Placeholder implementation
        Ok(std::ptr::null_mut())
    }

    fn deallocate_with_optimization(&mut self, ptr: *mut u8, size: usize) -> Result<(), MemoryOptimizationError> {
        Ok(())
    }
}

impl IntelligentPrefetchEngine {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self::default()
    }

    fn optimize_prefetch_strategies(&mut self, patterns: &PatternAnalysisResults) -> Result<PrefetchOptimizationResults, MemoryOptimizationError> {
        Ok(PrefetchOptimizationResults::default())
    }
}

impl MemoryBandwidthOptimizer {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self::default()
    }

    fn initialize_optimization(&mut self) -> Result<(), MemoryOptimizationError> {
        Ok(())
    }

    fn optimize_bandwidth_utilization(&mut self, patterns: &PatternAnalysisResults) -> Result<BandwidthOptimizationResults, MemoryOptimizationError> {
        Ok(BandwidthOptimizationResults::default())
    }
}

impl MemoryPatternAnalyzer {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self::default()
    }

    fn start_analysis(&mut self) -> Result<(), MemoryOptimizationError> {
        Ok(())
    }

    fn analyze_current_patterns(&mut self) -> Result<PatternAnalysisResults, MemoryOptimizationError> {
        Ok(PatternAnalysisResults::default())
    }

    fn record_deallocation(&mut self, ptr: *mut u8, size: usize, duration: Duration) -> Result<(), MemoryOptimizationError> {
        Ok(())
    }
}

impl DynamicAllocationStrategy {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self {
            strategies: HashMap::new(),
            performance_tracker: StrategyPerformanceTracker::default(),
            strategy_selector: IntelligentStrategySelector::default(),
            current_strategy: AllocationStrategyType::BestFit,
            config: AllocationStrategyConfig::default(),
        }
    }

    fn get_optimal_strategy(&self, size: usize, alignment: usize) -> Result<AllocationStrategyType, MemoryOptimizationError> {
        Ok(self.current_strategy.clone())
    }

    fn optimize_strategies(&mut self, patterns: &PatternAnalysisResults) -> Result<StrategyOptimizationResults, MemoryOptimizationError> {
        Ok(StrategyOptimizationResults::default())
    }
}

impl MemoryCompactionEngine {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self::default()
    }

    fn perform_intelligent_compaction(&mut self) -> Result<CompactionResults, MemoryOptimizationError> {
        Ok(CompactionResults::default())
    }
}

impl CacheHierarchyOptimizer {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self::default()
    }

    fn optimize_cache_utilization(&mut self, patterns: &PatternAnalysisResults) -> Result<CacheOptimizationResults, MemoryOptimizationError> {
        Ok(CacheOptimizationResults::default())
    }
}

impl MemoryPressureMonitor {
    fn new(config: &AdvancedMemoryConfig) -> Self {
        Self::default()
    }

    fn start_monitoring(&mut self) -> Result<(), MemoryOptimizationError> {
        Ok(())
    }

    fn get_current_pressure_status(&self) -> MemoryPressureLevel {
        MemoryPressureLevel::Low
    }
}

impl MemoryOptimizationStatistics {
    fn new() -> Self {
        Self {
            total_optimizations_performed: 0,
            memory_saved: 0,
            performance_improvement: 0.0,
            average_allocation_time: Duration::from_nanos(100),
            cache_optimization_count: 0,
            prefetch_accuracy: 0.0,
            compaction_operations: 0,
            memory_leak_detections: 0,
        }
    }
}

impl Default for AdvancedMemoryConfig {
    fn default() -> Self {
        Self {
            enable_predictive_pooling: true,
            enable_intelligent_prefetch: true,
            enable_bandwidth_optimization: true,
            enable_pattern_analysis: true,
            enable_dynamic_strategies: true,
            enable_memory_compaction: true,
            enable_cache_optimization: true,
            enable_pressure_monitoring: true,
            optimization_aggressiveness: OptimizationAggressiveness::Moderate,
            memory_safety_level: MemorySafetyLevel::Safe,
        }
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_advanced_memory_optimizer_creation() {
        let config = AdvancedMemoryConfig::default();
        let optimizer = AdvancedMemoryOptimizer::new(config);
        let status = optimizer.get_optimization_status();
        assert_eq!(status.total_optimizations, 0);
    }

    #[test]
    fn test_memory_optimization_config() {
        let config = AdvancedMemoryConfig::default();
        assert!(config.enable_predictive_pooling);
        assert!(config.enable_intelligent_prefetch);
        assert_eq!(config.optimization_aggressiveness, OptimizationAggressiveness::Moderate);
    }

    #[test]
    fn test_memory_size_categories() {
        assert_ne!(MemorySizeCategory::Small, MemorySizeCategory::Large);
        assert_eq!(MemorySizeCategory::Medium, MemorySizeCategory::Medium);
    }

    #[test]
    fn test_allocation_strategy_types() {
        let strategies = vec![
            AllocationStrategyType::FirstFit,
            AllocationStrategyType::BestFit,
            AllocationStrategyType::BuddySystem,
        ];
        assert_eq!(strategies.len(), 3);
    }
}