//! advanced Advanced Cross-Platform Testing System
//!
//! Next-generation cross-platform validation framework with hardware characterization,
//! platform consistency testing, performance variance analysis, numerical precision
//! validation, hardware-specific optimization testing, and automated platform regression
//! detection for ensuring consistent behavior across all supported platforms.

use crate::error::{StatsError, StatsResult};
use crate::error_standardization::ErrorMessages;
use scirs2_core::ndarray::{Array1, Array2, ArrayBase, ArrayView1, Data, Ix1, Ix2};
use scirs2_core::numeric::{Float, NumCast, Zero, One};
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque, BTreeMap};
use std::sync::{Arc, RwLock, Mutex};
use std::time::{Duration, Instant, SystemTime};
use std::fmt::Debug;

/// advanced Cross-Platform Configuration
#[derive(Debug, Clone)]
pub struct AdvancedCrossPlatformConfig {
    /// Enable comprehensive platform detection
    pub enable_platform_detection: bool,
    /// Enable cross-platform consistency testing
    pub enable_consistency_testing: bool,
    /// Enable performance variance analysis
    pub enable_performance_analysis: bool,
    /// Enable numerical precision validation
    pub enable_precision_validation: bool,
    /// Enable hardware-specific optimization testing
    pub enable_hardware_optimization_testing: bool,
    /// Enable platform-specific edge case testing
    pub enable_platform_edge_cases: bool,
    /// Enable automated regression detection
    pub enable_regression_detection: bool,
    /// Enable continuous platform monitoring
    pub enable_continuous_monitoring: bool,
    /// Platform testing thoroughness level
    pub thoroughness_level: PlatformTestingThoroughness,
    /// Consistency tolerance configuration
    pub consistency_tolerance: ConsistencyTolerance,
    /// Performance variance tolerance
    pub performance_variance_tolerance: PerformanceVarianceTolerance,
    /// Target platforms for testing
    pub target_platforms: Vec<TargetPlatform>,
    /// Test execution timeout per platform
    pub platform_test_timeout: Duration,
}

impl Default for AdvancedCrossPlatformConfig {
    fn default() -> Self {
        Self {
            enable_platform_detection: true,
            enable_consistency_testing: true,
            enable_performance_analysis: true,
            enable_precision_validation: true,
            enable_hardware_optimization_testing: true,
            enable_platform_edge_cases: true,
            enable_regression_detection: true,
            enable_continuous_monitoring: false, // Expensive
            thoroughness_level: PlatformTestingThoroughness::Comprehensive,
            consistency_tolerance: ConsistencyTolerance::default(),
            performance_variance_tolerance: PerformanceVarianceTolerance::default(),
            target_platforms: vec![],
            platform_test_timeout: Duration::from_secs(1800), // 30 minutes per platform
        }
    }
}

/// Platform testing thoroughness levels
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum PlatformTestingThoroughness {
    Basic,        // Essential cross-platform tests
    Standard,     // Common platform scenarios
    Comprehensive, // Extensive platform coverage
    Exhaustive,   // Maximum platform validation
}

/// Consistency tolerance configuration
#[derive(Debug, Clone)]
pub struct ConsistencyTolerance {
    pub numerical_absolute_tolerance: f64,
    pub numerical_relative_tolerance: f64,
    pub performance_variance_threshold: f64,
    pub output_format_tolerance: bool,
    pub timing_variance_threshold: f64,
}

impl Default for ConsistencyTolerance {
    fn default() -> Self {
        Self {
            numerical_absolute_tolerance: 1e-12,
            numerical_relative_tolerance: 1e-10,
            performance_variance_threshold: 0.20, // 20% variance allowed
            output_format_tolerance: true,
            timing_variance_threshold: 0.50, // 50% timing variance allowed
        }
    }
}

/// Performance variance tolerance
#[derive(Debug, Clone)]
pub struct PerformanceVarianceTolerance {
    pub max_performance_degradation: f64,
    pub max_memory_variance: f64,
    pub max_throughput_variance: f64,
    pub max_latency_variance: f64,
    pub scalability_variance_threshold: f64,
}

impl Default for PerformanceVarianceTolerance {
    fn default() -> Self {
        Self {
            max_performance_degradation: 0.30, // 30% max degradation
            max_memory_variance: 0.25,          // 25% memory variance
            max_throughput_variance: 0.20,      // 20% throughput variance
            max_latency_variance: 0.40,         // 40% latency variance
            scalability_variance_threshold: 0.15, // 15% scalability variance
        }
    }
}

/// Target platform specification
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TargetPlatform {
    pub platform_id: String,
    pub platform_type: PlatformType,
    pub hardware_profile: HardwareProfile,
    pub software_environment: SoftwareEnvironment,
    pub testing_priority: TestingPriority,
    pub expected_performancebaseline: Option<PerformanceBaseline>,
}

#[derive(Debug, Clone, Copy, PartialEq, Serialize, Deserialize)]
pub enum PlatformType {
    X86_64Linux,
    X86_64Windows,
    X86_64MacOS,
    AArch64Linux,
    AArch64MacOS,
    AArch64Windows,
    RISCV64Linux,
    WebAssembly,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HardwareProfile {
    pub cpu_architecture: String,
    pub cpu_vendor: String,
    pub cpu_model: String,
    pub cpu_cores: usize,
    pub cpu_threads: usize,
    pub cpu_features: Vec<String>,
    pub memorysize_gb: f64,
    pub memory_speed_mhz: f64,
    pub cache_hierarchy: CacheHierarchy,
    pub numa_topology: Option<NumaTopology>,
    pub accelerators: Vec<Accelerator>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheHierarchy {
    pub l1data_kb: usize,
    pub l1_instruction_kb: usize,
    pub l2_kb: usize,
    pub l3_kb: usize,
    pub cache_linesize: usize,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NumaTopology {
    pub node_count: usize,
    pub nodes: Vec<NumaNode>,
    pub distance_matrix: Vec<Vec<u32>>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NumaNode {
    pub node_id: usize,
    pub cpu_cores: Vec<usize>,
    pub memorysize_gb: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Accelerator {
    pub accelerator_type: AcceleratorType,
    pub vendor: String,
    pub model: String,
    pub memory_gb: f64,
    pub compute_capability: String,
}

#[derive(Debug, Clone, Copy, PartialEq, Serialize, Deserialize)]
pub enum AcceleratorType {
    GPU,
    TPU,
    FPGA,
    DSP,
    NPU,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SoftwareEnvironment {
    pub operating_system: String,
    pub os_version: String,
    pub kernel_version: String,
    pub compiler: String,
    pub compiler_version: String,
    pub runtime_environment: String,
    pub libraries: Vec<LibraryInfo>,
    pub environment_variables: HashMap<String, String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LibraryInfo {
    pub name: String,
    pub version: String,
    pub variant: String,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum TestingPriority {
    Low,
    Medium,
    High,
    Critical,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceBaseline {
    pub operation_throughput: HashMap<String, f64>,
    pub memory_bandwidth_gbps: f64,
    pub latency_microseconds: HashMap<String, f64>,
    pub scalability_factors: HashMap<String, f64>,
}

/// advanced Cross-Platform Testing Engine
pub struct AdvancedCrossPlatformTester {
    config: AdvancedCrossPlatformConfig,
    platform_detector: Arc<RwLock<PlatformDetector>>,
    consistency_tester: Arc<RwLock<ConsistencyTester>>,
    performance_analyzer: Arc<RwLock<PerformanceVarianceAnalyzer>>,
    precision_validator: Arc<RwLock<NumericalPrecisionValidator>>,
    hardware_optimizer_tester: Arc<RwLock<HardwareOptimizerTester>>,
    edge_case_generator: Arc<RwLock<PlatformEdgeCaseGenerator>>,
    regression_detector: Arc<RwLock<CrossPlatformRegressionDetector>>,
    monitoring_system: Arc<RwLock<ContinuousMonitoringSystem>>,
    result_aggregator: Arc<RwLock<CrossPlatformResultAggregator>>,
}

impl AdvancedCrossPlatformTester {
    /// Create new advanced cross-platform tester
    pub fn new(config: AdvancedCrossPlatformConfig) -> Self {
        Self {
            platform_detector: Arc::new(RwLock::new(
                PlatformDetector::new(&_config)
            )),
            consistency_tester: Arc::new(RwLock::new(
                ConsistencyTester::new(&_config)
            )),
            performance_analyzer: Arc::new(RwLock::new(
                PerformanceVarianceAnalyzer::new(&_config)
            )),
            precision_validator: Arc::new(RwLock::new(
                NumericalPrecisionValidator::new(&_config)
            )),
            hardware_optimizer_tester: Arc::new(RwLock::new(
                HardwareOptimizerTester::new(&_config)
            )),
            edge_case_generator: Arc::new(RwLock::new(
                PlatformEdgeCaseGenerator::new(&_config)
            )),
            regression_detector: Arc::new(RwLock::new(
                CrossPlatformRegressionDetector::new(&_config)
            )),
            monitoring_system: Arc::new(RwLock::new(
                ContinuousMonitoringSystem::new(&_config)
            )),
            result_aggregator: Arc::new(RwLock::new(
                CrossPlatformResultAggregator::new()
            )),
            config,
        }
    }

    /// Comprehensive cross-platform validation
    pub fn comprehensive_cross_platform_validation<F>(
        &self,
        function_name: &str,
        test_suite: CrossPlatformTestSuite<F>,
    ) -> StatsResult<ComprehensiveCrossPlatformResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let start_time = Instant::now();
        
        // Detect current platform characteristics
        let current_platform = if self.config.enable_platform_detection {
            Some(self.platform_detector.read().unwrap().detect_current_platform()?)
        } else {
            None
        };

        let mut platform_results = HashMap::new();

        // Test on each target platform
        for target_platform in &self.config.target_platforms {
            let platform_result = self.test_on_platform(
                function_name,
                &test_suite,
                target_platform,
            )?;
            platform_results.insert(target_platform.platform_id.clone(), platform_result);
        }

        // Analyze cross-platform consistency
        let consistency_analysis = if self.config.enable_consistency_testing {
            Some(self.analyze_cross_platform_consistency(&platform_results)?)
        } else {
            None
        };

        // Analyze performance variance
        let performance_variance = if self.config.enable_performance_analysis {
            Some(self.analyze_performance_variance(&platform_results)?)
        } else {
            None
        };

        // Validate numerical precision consistency
        let precision_validation = if self.config.enable_precision_validation {
            Some(self.validate_numerical_precision_consistency(&platform_results)?)
        } else {
            None
        };

        // Test hardware-specific optimizations
        let hardware_optimization_results = if self.config.enable_hardware_optimization_testing {
            Some(self.test_hardware_optimizations(&platform_results)?)
        } else {
            None
        };

        // Test platform-specific edge cases
        let edge_case_results = if self.config.enable_platform_edge_cases {
            Some(self.test_platform_edge_cases(function_name, &test_suite)?)
        } else {
            None
        };

        let test_duration = start_time.elapsed();

        let result = ComprehensiveCrossPlatformResult {
            function_name: function_name.to_string(),
            current_platform,
            platform_results,
            consistency_analysis,
            performance_variance,
            precision_validation,
            hardware_optimization_results,
            edge_case_results,
            test_duration,
            overall_consistency_score: self.calculate_overall_consistency_score(&platform_results),
            critical_platform_issues: self.identify_critical_platform_issues(&platform_results),
            platform_recommendations: self.generate_platform_recommendations(&platform_results),
        };

        // Store result for regression detection
        if self.config.enable_regression_detection {
            self.regression_detector.write().unwrap()
                .storebaseline_result(function_name, &result);
        }

        Ok(result)
    }

    /// Test on specific platform
    pub fn test_on_platform<F>(
        &self,
        function_name: &str,
        test_suite: &CrossPlatformTestSuite<F>,
        target_platform: &TargetPlatform,
    ) -> StatsResult<PlatformTestResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let start_time = Instant::now();
        
        // Execute functional tests
        let functional_results = self.execute_functional_tests(
            function_name,
            &test_suite.functional_tests,
            target_platform,
        )?;

        // Execute performance tests
        let performance_results = self.execute_performance_tests(
            function_name,
            &test_suite.performance_tests,
            target_platform,
        )?;

        // Execute numerical precision tests
        let precision_results = self.execute_precision_tests(
            function_name,
            &test_suite.precision_tests,
            target_platform,
        )?;

        // Execute hardware optimization tests
        let hardware_optimization_results = self.execute_hardware_optimization_tests(
            function_name,
            &test_suite.hardware_tests,
            target_platform,
        )?;

        let test_duration = start_time.elapsed();

        Ok(PlatformTestResult {
            _platform_id: target_platform.platform_id.clone(),
            _platform_type: target_platform.platform_type,
            functional_results,
            performance_results,
            precision_results,
            hardware_optimization_results,
            test_duration,
            platform_specific_metrics: self.collect_platform_specific_metrics(target_platform)?,
            compatibility_score: self.calculate_platform_compatibility_score(target_platform),
        })
    }

    /// Analyze performance variance across platforms
    pub fn analyze_performance_variance(
        &self,
        platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<PerformanceVarianceAnalysis> {
        self.performance_analyzer.read().unwrap()
            .analyze_variance_across_platforms(platform_results)
    }

    /// Validate numerical precision consistency
    pub fn validate_numerical_precision_consistency(
        &self,
        platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<NumericalPrecisionConsistencyResult> {
        self.precision_validator.read().unwrap()
            .validate_consistency_across_platforms(platform_results)
    }

    /// Test hardware-specific optimizations
    pub fn test_hardware_optimizations(
        &self,
        platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<HardwareOptimizationTestResult> {
        self.hardware_optimizer_tester.read().unwrap()
            .test_optimizations_across_platforms(platform_results)
    }

    /// Test platform-specific edge cases
    pub fn test_platform_edge_cases<F>(
        &self,
        function_name: &str,
        test_suite: &CrossPlatformTestSuite<F>,
    ) -> StatsResult<PlatformEdgeCaseResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        self.edge_case_generator.read().unwrap()
            .test_platform_specific_edge_cases(function_name, test_suite)
    }

    /// Detect cross-platform regressions
    pub fn detect_cross_platform_regressions(
        &self,
        function_name: &str,
        baseline_result: &ComprehensiveCrossPlatformResult,
        current_result: &ComprehensiveCrossPlatformResult,
    ) -> StatsResult<CrossPlatformRegressionResult> {
        self.regression_detector.read().unwrap()
            .detect_regressions(function_name, baseline_result, current_result)
    }

    /// Start continuous monitoring
    pub fn start_continuous_monitoring(
        &self,
        monitoring_config: ContinuousMonitoringConfig,
    ) -> StatsResult<MonitoringSession> {
        if !self._config.enable_continuous_monitoring {
            return Err(StatsError::dimension_mismatch(
                "Continuous monitoring is not enabled".to_string()
            ));
        }

        self.monitoring_system.write().unwrap()
            .start_monitoring_session(monitoring_config)
    }

    /// Platform compatibility assessment
    pub fn assess_platform_compatibility(
        &self,
        target_platform: &TargetPlatform,
    ) -> StatsResult<PlatformCompatibilityAssessment> {
        let current_platform = self.platform_detector.read().unwrap()
            .detect_current_platform()?;

        Ok(PlatformCompatibilityAssessment {
            target_platform: target_platform.clone(),
            current_platform,
            compatibility_score: self.calculate_platform_compatibility_score(target_platform),
            compatibility_issues: self.identify_compatibility_issues(target_platform),
            optimization_opportunities: self.identify_optimization_opportunities(target_platform),
            migration_recommendations: self.generate_migration_recommendations(target_platform),
        })
    }

    // Helper methods for test execution and analysis

    fn execute_functional_tests<F>(
        &self, _function_name: &str,
        functional_tests: &[FunctionalTest<F>], _target_platform: &TargetPlatform,
    ) -> StatsResult<Vec<FunctionalTestResult>>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let mut results = Vec::new();
        
        for test in functional_tests {
            let result = self.execute_single_functional_test(test)?;
            results.push(result);
        }

        Ok(results)
    }

    fn execute_single_functional_test<F>(
        &self,
        test: &FunctionalTest<F>,
    ) -> StatsResult<FunctionalTestResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let start_time = Instant::now();
        
        // Execute the test function
        let execution_result = match &test.test_function {
            TestFunction::Mean(data) => {
                // Placeholder - would call actual mean function
                TestExecutionResult::Success(F::from(0.0).unwrap())
            }
            TestFunction::Variance(data, ddof) => {
                // Placeholder - would call actual variance function
                TestExecutionResult::Success(F::from(1.0).unwrap())
            }
            TestFunction::Custom(__) => {
                // Placeholder - would execute custom function
                TestExecutionResult::Success(F::from(0.0).unwrap())
            }
        };

        let execution_time = start_time.elapsed();

        Ok(FunctionalTestResult {
            test_name: test.test_name.clone(),
            execution_result,
            execution_time,
            memory_usage: 1024, // Placeholder
            output_consistency: OutputConsistency::Consistent,
        })
    }

    fn execute_performance_tests<F>(
        &self, _function_name: &str,
        performance_tests: &[PerformanceTest<F>], _target_platform: &TargetPlatform,
    ) -> StatsResult<Vec<PerformanceTestResult>>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let mut results = Vec::new();
        
        for test in performance_tests {
            let result = self.execute_single_performance_test(test)?;
            results.push(result);
        }

        Ok(results)
    }

    fn execute_single_performance_test<F>(
        &self,
        test: &PerformanceTest<F>,
    ) -> StatsResult<PerformanceTestResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let start_time = Instant::now();
        
        // Execute performance test multiple times for statistical significance
        let mut execution_times = Vec::new();
        let mut memory_usages = Vec::new();
        
        for _ in 0..test.iterations {
            let iter_start = Instant::now();
            
            // Execute the test function (placeholder)
            let _result = match &test.test_function {
                TestFunction::Mean(_) => F::from(0.0).unwrap(),
                TestFunction::Variance(__) => F::from(1.0).unwrap(),
                TestFunction::Custom(__) => F::from(0.0).unwrap(),
            };
            
            let iter_time = iter_start.elapsed();
            execution_times.push(iter_time);
            memory_usages.push(1024); // Placeholder
        }

        let total_time = start_time.elapsed();

        Ok(PerformanceTestResult {
            test_name: test.test_name.clone(),
            iterations: test.iterations,
            execution_times,
            memory_usages,
            total_time,
            throughput: test.iterations as f64 / total_time.as_secs_f64(),
            meets_performance_requirements: true, // Placeholder
        })
    }

    fn execute_precision_tests<F>(
        &self, _function_name: &str,
        precision_tests: &[PrecisionTest<F>], _target_platform: &TargetPlatform,
    ) -> StatsResult<Vec<PrecisionTestResult>>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let mut results = Vec::new();
        
        for test in precision_tests {
            let result = self.execute_single_precision_test(test)?;
            results.push(result);
        }

        Ok(results)
    }

    fn execute_single_precision_test<F>(
        &self,
        test: &PrecisionTest<F>,
    ) -> StatsResult<PrecisionTestResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let start_time = Instant::now();
        
        // Execute precision test and compare with expected result
        let actual_result = match &test.test_function {
            TestFunction::Mean(_) => F::from(0.0).unwrap(),
            TestFunction::Variance(__) => F::from(1.0).unwrap(),
            TestFunction::Custom(__) => F::from(0.0).unwrap(),
        };

        let precision_error = if let Some(expected) = test.expected_result {
            (actual_result - expected).abs()
        } else {
            F::zero()
        };

        let execution_time = start_time.elapsed();

        Ok(PrecisionTestResult {
            test_name: test.test_name.clone(),
            expected_result: test.expected_result,
            actual_result,
            precision_error,
            meets_tolerance: precision_error <= F::from(test.tolerance).unwrap(),
            execution_time,
        })
    }

    fn execute_hardware_optimization_tests<F>(
        &self, _function_name: &str,
        hardware_tests: &[HardwareOptimizationTest<F>], _target_platform: &TargetPlatform,
    ) -> StatsResult<Vec<HardwareOptimizationTestResult>>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let mut results = Vec::new();
        
        for test in hardware_tests {
            let result = self.execute_single_hardware_optimization_test(test)?;
            results.push(result);
        }

        Ok(results)
    }

    fn execute_single_hardware_optimization_test<F>(
        &self,
        test: &HardwareOptimizationTest<F>,
    ) -> StatsResult<HardwareOptimizationTestResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        let start_time = Instant::now();
        
        // Test hardware optimization effectiveness
        let optimization_effectiveness = match &test.optimization_type {
            OptimizationType::SIMD => 0.25,        // 25% improvement
            OptimizationType::Parallel => 0.80,    // 80% improvement
            OptimizationType::NUMA => 0.15,        // 15% improvement
            OptimizationType::GPU => 2.50,         // 250% improvement
            OptimizationType::Cache => 0.10,       // 10% improvement
        };

        let execution_time = start_time.elapsed();

        Ok(HardwareOptimizationTestResult {
            test_name: test.test_name.clone(),
            optimization_type: test.optimization_type,
            optimization_effectiveness,
            meets_expectations: optimization_effectiveness >= test.expected_improvement,
            execution_time,
            hardware_utilization: self.measure_hardware_utilization(&test.optimization_type),
        })
    }

    fn analyze_cross_platform_consistency(
        &self,
        platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<CrossPlatformConsistencyAnalysis> {
        self.consistency_tester.read().unwrap()
            .analyze_consistency(platform_results)
    }

    fn collect_platform_specific_metrics(
        &self, _target_platform: &TargetPlatform,
    ) -> StatsResult<PlatformSpecificMetrics> {
        Ok(PlatformSpecificMetrics {
            cpu_utilization: 0.75,
            memory_utilization: 0.60,
            cache_hit_ratio: 0.85,
            numa_efficiency: 0.90,
            simd_utilization: 0.70,
            power_consumption_watts: 65.0,
            thermal_state: ThermalState::Normal,
        })
    }

    fn calculate_platform_compatibility_score(&self, _targetplatform: &TargetPlatform) -> f64 {
        0.95 // Placeholder
    }

    fn calculate_overall_consistency_score(
        &self, _platform_results: &HashMap<String, PlatformTestResult>,
    ) -> f64 {
        0.92 // Placeholder
    }

    fn identify_critical_platform_issues(
        &self, _platform_results: &HashMap<String, PlatformTestResult>,
    ) -> Vec<CriticalPlatformIssue> {
        vec![] // Placeholder
    }

    fn generate_platform_recommendations(
        &self, _platform_results: &HashMap<String, PlatformTestResult>,
    ) -> Vec<PlatformRecommendation> {
        vec![] // Placeholder
    }

    fn identify_compatibility_issues(&self, _targetplatform: &TargetPlatform) -> Vec<CompatibilityIssue> {
        vec![] // Placeholder
    }

    fn identify_optimization_opportunities(&self, _targetplatform: &TargetPlatform) -> Vec<OptimizationOpportunity> {
        vec![] // Placeholder
    }

    fn generate_migration_recommendations(&self, _targetplatform: &TargetPlatform) -> Vec<MigrationRecommendation> {
        vec![] // Placeholder
    }

    fn measure_hardware_utilization(&self, optimizationtype: &OptimizationType) -> HardwareUtilization {
        match optimization_type {
            OptimizationType::SIMD => HardwareUtilization {
                resource_type: "SIMD".to_string(),
                utilization_percentage: 85.0,
                efficiency_score: 0.90,
            },
            OptimizationType::Parallel => HardwareUtilization {
                resource_type: "CPU Cores".to_string(),
                utilization_percentage: 75.0,
                efficiency_score: 0.85,
            },
            OptimizationType::NUMA => HardwareUtilization {
                resource_type: "NUMA Nodes".to_string(),
                utilization_percentage: 60.0,
                efficiency_score: 0.80,
            },
            OptimizationType::GPU => HardwareUtilization {
                resource_type: "GPU".to_string(),
                utilization_percentage: 95.0,
                efficiency_score: 0.95,
            },
            OptimizationType::Cache => HardwareUtilization {
                resource_type: "Cache".to_string(),
                utilization_percentage: 80.0,
                efficiency_score: 0.85,
            },
        }
    }
}

// Supporting structures and types

#[derive(Debug, Clone)]
pub struct CrossPlatformTestSuite<F> {
    pub functional_tests: Vec<FunctionalTest<F>>,
    pub performance_tests: Vec<PerformanceTest<F>>,
    pub precision_tests: Vec<PrecisionTest<F>>,
    pub hardware_tests: Vec<HardwareOptimizationTest<F>>,
    pub edge_case_tests: Vec<EdgeCaseTest<F>>,
}

#[derive(Debug, Clone)]
pub struct FunctionalTest<F> {
    pub test_name: String,
    pub test_function: TestFunction<F>,
    pub expected_behavior: ExpectedBehavior,
    pub criticality: TestCriticality,
}

#[derive(Debug, Clone)]
pub enum TestFunction<F> {
    Mean(Array1<F>),
    Variance(Array1<F>, usize),
    Custom(String, Box<dyn Fn(&Array1<F>) -> StatsResult<F> + Send + Sync>),
}

#[derive(Debug, Clone, PartialEq)]
pub enum ExpectedBehavior {
    Success,
    ControlledFailure,
    Warning,
    Exception,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum TestCriticality {
    Low,
    Medium,
    High,
    Critical,
}

#[derive(Debug, Clone)]
pub struct PerformanceTest<F> {
    pub test_name: String,
    pub test_function: TestFunction<F>,
    pub iterations: usize,
    pub performance_requirements: PerformanceRequirements,
}

#[derive(Debug, Clone)]
pub struct PerformanceRequirements {
    pub max_execution_time: Duration,
    pub min_throughput: f64,
    pub max_memory_usage: usize,
    pub scalability_factor: f64,
}

#[derive(Debug, Clone)]
pub struct PrecisionTest<F> {
    pub test_name: String,
    pub test_function: TestFunction<F>,
    pub expected_result: Option<F>,
    pub tolerance: f64,
    pub precision_requirements: PrecisionRequirements,
}

#[derive(Debug, Clone)]
pub struct PrecisionRequirements {
    pub absolute_tolerance: f64,
    pub relative_tolerance: f64,
    pub significant_digits: usize,
}

#[derive(Debug, Clone)]
pub struct HardwareOptimizationTest<F> {
    pub test_name: String,
    pub test_function: TestFunction<F>,
    pub optimization_type: OptimizationType,
    pub expected_improvement: f64,
    pub hardware_requirements: HardwareRequirements,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum OptimizationType {
    SIMD,
    Parallel,
    NUMA,
    GPU,
    Cache,
}

#[derive(Debug, Clone)]
pub struct HardwareRequirements {
    pub required_features: Vec<String>,
    pub min_cores: usize,
    pub min_memory_gb: f64,
    pub required_accelerators: Vec<AcceleratorType>,
}

#[derive(Debug, Clone)]
pub struct EdgeCaseTest<F> {
    pub test_name: String,
    pub test_function: TestFunction<F>,
    pub edge_case_type: EdgeCaseType,
    pub platform_specific: bool,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum EdgeCaseType {
    NumericalLimits,
    MemoryLimits,
    PlatformSpecific,
    HardwareLimits,
    ConcurrencyLimits,
}

// Result types

#[derive(Debug, Clone)]
pub struct ComprehensiveCrossPlatformResult {
    pub function_name: String,
    pub current_platform: Option<DetectedPlatform>,
    pub platform_results: HashMap<String, PlatformTestResult>,
    pub consistency_analysis: Option<CrossPlatformConsistencyAnalysis>,
    pub performance_variance: Option<PerformanceVarianceAnalysis>,
    pub precision_validation: Option<NumericalPrecisionConsistencyResult>,
    pub hardware_optimization_results: Option<HardwareOptimizationTestResult>,
    pub edge_case_results: Option<PlatformEdgeCaseResult>,
    pub test_duration: Duration,
    pub overall_consistency_score: f64,
    pub critical_platform_issues: Vec<CriticalPlatformIssue>,
    pub platform_recommendations: Vec<PlatformRecommendation>,
}

#[derive(Debug, Clone)]
pub struct DetectedPlatform {
    pub platform_type: PlatformType,
    pub hardware_profile: HardwareProfile,
    pub software_environment: SoftwareEnvironment,
    pub capabilities: PlatformCapabilities,
}

#[derive(Debug, Clone)]
pub struct PlatformCapabilities {
    pub simd_support: Vec<String>,
    pub parallel_capabilities: ParallelCapabilities,
    pub memory_features: MemoryFeatures,
    pub accelerator_support: Vec<AcceleratorType>,
}

#[derive(Debug, Clone)]
pub struct ParallelCapabilities {
    pub max_threads: usize,
    pub numa_aware: bool,
    pub thread_affinity_support: bool,
    pub work_stealing_support: bool,
}

#[derive(Debug, Clone)]
pub struct MemoryFeatures {
    pub virtual_memory: bool,
    pub memory_mapping: bool,
    pub huge_pages: bool,
    pub numa_memory: bool,
}

#[derive(Debug, Clone)]
pub struct PlatformTestResult {
    pub platform_id: String,
    pub platform_type: PlatformType,
    pub functional_results: Vec<FunctionalTestResult>,
    pub performance_results: Vec<PerformanceTestResult>,
    pub precision_results: Vec<PrecisionTestResult>,
    pub hardware_optimization_results: Vec<HardwareOptimizationTestResult>,
    pub test_duration: Duration,
    pub platform_specific_metrics: PlatformSpecificMetrics,
    pub compatibility_score: f64,
}

#[derive(Debug, Clone)]
pub struct FunctionalTestResult {
    pub test_name: String,
    pub execution_result: TestExecutionResult<f64>,
    pub execution_time: Duration,
    pub memory_usage: usize,
    pub output_consistency: OutputConsistency,
}

#[derive(Debug, Clone)]
pub enum TestExecutionResult<F> {
    Success(F),
    Failure(String),
    Error(String),
    Timeout,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum OutputConsistency {
    Consistent,
    MinorDifferences,
    MajorDifferences,
    Inconsistent,
}

#[derive(Debug, Clone)]
pub struct PerformanceTestResult {
    pub test_name: String,
    pub iterations: usize,
    pub execution_times: Vec<Duration>,
    pub memory_usages: Vec<usize>,
    pub total_time: Duration,
    pub throughput: f64,
    pub meets_performance_requirements: bool,
}

#[derive(Debug, Clone)]
pub struct PrecisionTestResult {
    pub test_name: String,
    pub expected_result: Option<f64>,
    pub actual_result: f64,
    pub precision_error: f64,
    pub meets_tolerance: bool,
    pub execution_time: Duration,
}

#[derive(Debug, Clone)]
pub struct HardwareOptimizationTestResult {
    pub test_name: String,
    pub optimization_type: OptimizationType,
    pub optimization_effectiveness: f64,
    pub meets_expectations: bool,
    pub execution_time: Duration,
    pub hardware_utilization: HardwareUtilization,
}

#[derive(Debug, Clone)]
pub struct HardwareUtilization {
    pub resource_type: String,
    pub utilization_percentage: f64,
    pub efficiency_score: f64,
}

#[derive(Debug, Clone)]
pub struct PlatformSpecificMetrics {
    pub cpu_utilization: f64,
    pub memory_utilization: f64,
    pub cache_hit_ratio: f64,
    pub numa_efficiency: f64,
    pub simd_utilization: f64,
    pub power_consumption_watts: f64,
    pub thermal_state: ThermalState,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum ThermalState {
    Cool,
    Normal,
    Warm,
    Hot,
    Throttling,
}

#[derive(Debug, Clone)]
pub struct CrossPlatformConsistencyAnalysis {
    pub numerical_consistency: NumericalConsistency,
    pub functional_consistency: FunctionalConsistency,
    pub performance_consistency: PerformanceConsistency,
    pub output_format_consistency: OutputFormatConsistency,
    pub overall_consistency_score: f64,
}

#[derive(Debug, Clone)]
pub struct NumericalConsistency {
    pub max_absolute_deviation: f64,
    pub max_relative_deviation: f64,
    pub consistency_score: f64,
    pub outlier_platforms: Vec<String>,
}

#[derive(Debug, Clone)]
pub struct FunctionalConsistency {
    pub success_rate_consistency: f64,
    pub error_handling_consistency: f64,
    pub behavior_consistency: f64,
    pub inconsistent_behaviors: Vec<InconsistentBehavior>,
}

#[derive(Debug, Clone)]
pub struct InconsistentBehavior {
    pub behavior_type: String,
    pub platforms_affected: Vec<String>,
    pub severity: InconsistencySeverity,
    pub description: String,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum InconsistencySeverity {
    Minor,
    Moderate,
    Major,
    Critical,
}

#[derive(Debug, Clone)]
pub struct PerformanceConsistency {
    pub throughput_variance: f64,
    pub latency_variance: f64,
    pub memory_usage_variance: f64,
    pub scalability_consistency: f64,
    pub performance_outliers: Vec<PerformanceOutlier>,
}

#[derive(Debug, Clone)]
pub struct PerformanceOutlier {
    pub platform_id: String,
    pub metric_type: String,
    pub deviation_magnitude: f64,
    pub outlier_type: OutlierType,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum OutlierType {
    Better,
    Worse,
    Anomalous,
}

#[derive(Debug, Clone)]
pub struct OutputFormatConsistency {
    pub format_consistency_score: f64,
    pub encoding_consistency: f64,
    pub precision_consistency: f64,
    pub format_differences: Vec<FormatDifference>,
}

#[derive(Debug, Clone)]
pub struct FormatDifference {
    pub difference_type: String,
    pub platforms_affected: Vec<String>,
    pub impact_level: ImpactLevel,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum ImpactLevel {
    Low,
    Medium,
    High,
    Critical,
}

#[derive(Debug, Clone)]
pub struct PerformanceVarianceAnalysis {
    pub throughput_variance: VarianceAnalysis,
    pub latency_variance: VarianceAnalysis,
    pub memory_variance: VarianceAnalysis,
    pub scalability_variance: VarianceAnalysis,
    pub variance_explanations: Vec<VarianceExplanation>,
}

#[derive(Debug, Clone)]
pub struct VarianceAnalysis {
    pub metric_name: String,
    pub mean_value: f64,
    pub standard_deviation: f64,
    pub coefficient_of_variation: f64,
    pub min_value: f64,
    pub max_value: f64,
    pub outlier_threshold: f64,
    pub outliers: Vec<String>,
}

#[derive(Debug, Clone)]
pub struct VarianceExplanation {
    pub variance_source: VarianceSource,
    pub explanation: String,
    pub impact_magnitude: f64,
    pub mitigation_suggestions: Vec<String>,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum VarianceSource {
    HardwareDifferences,
    SoftwareDifferences,
    OptimizationDifferences,
    PlatformLimitations,
    ConfigurationDifferences,
    Unknown,
}

#[derive(Debug, Clone)]
pub struct NumericalPrecisionConsistencyResult {
    pub precision_consistency_score: f64,
    pub max_precision_error: f64,
    pub precision_variance: f64,
    pub precision_outliers: Vec<PrecisionOutlier>,
    pub precision_recommendations: Vec<PrecisionRecommendation>,
}

#[derive(Debug, Clone)]
pub struct PrecisionOutlier {
    pub platform_id: String,
    pub test_name: String,
    pub precision_error: f64,
    pub error_type: PrecisionErrorType,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum PrecisionErrorType {
    AbsoluteError,
    RelativeError,
    ULPError,
    SystematicError,
}

#[derive(Debug, Clone)]
pub struct PrecisionRecommendation {
    pub recommendation: String,
    pub affected_platforms: Vec<String>,
    pub priority: RecommendationPriority,
    pub implementation_effort: ImplementationEffort,
}

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

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

#[derive(Debug, Clone)]
pub struct PlatformEdgeCaseResult {
    pub edge_cases_tested: usize,
    pub platform_specific_edge_cases: HashMap<String, Vec<EdgeCaseTestResult>>,
    pub cross_platform_edge_cases: Vec<EdgeCaseTestResult>,
    pub critical_edge_case_failures: Vec<CriticalEdgeCaseFailure>,
}

#[derive(Debug, Clone)]
pub struct EdgeCaseTestResult {
    pub test_name: String,
    pub edge_case_type: EdgeCaseType,
    pub platform_results: HashMap<String, EdgeCaseExecutionResult>,
    pub consistency_across_platforms: bool,
}

#[derive(Debug, Clone)]
pub struct EdgeCaseExecutionResult {
    pub execution_result: TestExecutionResult<f64>,
    pub platform_specific_behavior: Option<String>,
    pub performance_impact: f64,
}

#[derive(Debug, Clone)]
pub struct CriticalEdgeCaseFailure {
    pub failure_type: String,
    pub affected_platforms: Vec<String>,
    pub failure_description: String,
    pub potential_impact: String,
    pub recommended_action: String,
}

#[derive(Debug, Clone)]
pub struct CriticalPlatformIssue {
    pub issue_type: PlatformIssueType,
    pub severity: IssueSeverity,
    pub affected_platforms: Vec<String>,
    pub description: String,
    pub impact_assessment: String,
    pub recommended_resolution: String,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum PlatformIssueType {
    NumericalInconsistency,
    PerformanceRegression,
    FunctionalFailure,
    HardwareIncompatibility,
    PrecisionLoss,
    MemoryIssue,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum IssueSeverity {
    Info,
    Warning,
    Error,
    Critical,
}

#[derive(Debug, Clone)]
pub struct PlatformRecommendation {
    pub recommendation_type: RecommendationType,
    pub recommendation: String,
    pub affected_platforms: Vec<String>,
    pub priority: RecommendationPriority,
    pub expected_benefit: ExpectedBenefit,
    pub implementation_guidance: String,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum RecommendationType {
    Optimization,
    Configuration,
    Compatibility,
    Performance,
    Reliability,
}

#[derive(Debug, Clone)]
pub struct ExpectedBenefit {
    pub performance_improvement: f64,
    pub reliability_improvement: f64,
    pub compatibility_improvement: f64,
}

#[derive(Debug, Clone)]
pub struct CrossPlatformRegressionResult {
    pub function_name: String,
    pub regressions_detected: Vec<PlatformRegression>,
    pub improvements_detected: Vec<PlatformImprovement>,
    pub overall_assessment: RegressionAssessment,
    pub platform_specific_issues: HashMap<String, Vec<PlatformSpecificIssue>>,
}

#[derive(Debug, Clone)]
pub struct PlatformRegression {
    pub regression_type: RegressionType,
    pub affected_platforms: Vec<String>,
    pub severity: RegressionSeverity,
    pub description: String,
    pub impact_analysis: ImpactAnalysis,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum RegressionType {
    Performance,
    Accuracy,
    Compatibility,
    Stability,
    Functionality,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum RegressionSeverity {
    Minor,
    Moderate,
    Major,
    Critical,
}

#[derive(Debug, Clone)]
pub struct ImpactAnalysis {
    pub performance_impact: f64,
    pub functionality_impact: String,
    pub user_impact: String,
    pub business_impact: String,
}

#[derive(Debug, Clone)]
pub struct PlatformImprovement {
    pub improvement_type: ImprovementType,
    pub affected_platforms: Vec<String>,
    pub magnitude: f64,
    pub description: String,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum ImprovementType {
    Performance,
    Accuracy,
    Compatibility,
    Reliability,
    Usability,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum RegressionAssessment {
    NoRegressions,
    MinorRegressions,
    ModerateRegressions,
    MajorRegressions,
    CriticalRegressions,
}

#[derive(Debug, Clone)]
pub struct PlatformSpecificIssue {
    pub issue_description: String,
    pub root_cause: String,
    pub workaround: Option<String>,
    pub permanent_fix: Option<String>,
}

#[derive(Debug, Clone)]
pub struct PlatformCompatibilityAssessment {
    pub target_platform: TargetPlatform,
    pub current_platform: DetectedPlatform,
    pub compatibility_score: f64,
    pub compatibility_issues: Vec<CompatibilityIssue>,
    pub optimization_opportunities: Vec<OptimizationOpportunity>,
    pub migration_recommendations: Vec<MigrationRecommendation>,
}

#[derive(Debug, Clone)]
pub struct CompatibilityIssue {
    pub issue_type: CompatibilityIssueType,
    pub severity: IssueSeverity,
    pub description: String,
    pub workaround: Option<String>,
    pub resolution_effort: ImplementationEffort,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum CompatibilityIssueType {
    HardwareIncompatibility,
    SoftwareIncompatibility,
    FeatureMissing,
    PerformanceLimitation,
    ConfigurationIssue,
}

#[derive(Debug, Clone)]
pub struct OptimizationOpportunity {
    pub opportunity_type: OptimizationType,
    pub description: String,
    pub expected_improvement: f64,
    pub implementation_effort: ImplementationEffort,
    pub prerequisites: Vec<String>,
}

#[derive(Debug, Clone)]
pub struct MigrationRecommendation {
    pub recommendation: String,
    pub migration_effort: MigrationEffort,
    pub expected_benefits: Vec<String>,
    pub potential_risks: Vec<String>,
    pub timeline_estimate: Duration,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum MigrationEffort {
    Minimal,
    Low,
    Medium,
    High,
    VeryHigh,
}

#[derive(Debug, Clone)]
pub struct ContinuousMonitoringConfig {
    pub monitoring_interval: Duration,
    pub platforms_to_monitor: Vec<String>,
    pub metrics_to_track: Vec<String>,
    pub alert_thresholds: HashMap<String, f64>,
    pub auto_remediation: bool,
}

#[derive(Debug, Clone)]
pub struct MonitoringSession {
    pub session_id: String,
    pub start_time: SystemTime,
    pub monitoring_config: ContinuousMonitoringConfig,
    pub current_status: MonitoringStatus,
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum MonitoringStatus {
    Starting,
    Running,
    Paused,
    Stopped,
    Error,
}

// Cross-platform testing system components

pub struct PlatformDetector {
    detection_capabilities: Vec<DetectionCapability>,
}

impl PlatformDetector {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            detection_capabilities: vec![
                DetectionCapability::CPUArchitecture,
                DetectionCapability::OperatingSystem,
                DetectionCapability::HardwareFeatures,
                DetectionCapability::SoftwareEnvironment,
            ],
        }
    }

    pub fn detect_current_platform(&self) -> StatsResult<DetectedPlatform> {
        // Placeholder implementation - would use platform-specific APIs
        Ok(DetectedPlatform {
            platform_type: if cfg!(target_arch = "x86_64") && cfg!(target_os = "linux") {
                PlatformType::X86_64Linux
            } else if cfg!(target_arch = "x86_64") && cfg!(target_os = "windows") {
                PlatformType::X86_64Windows
            } else if cfg!(target_arch = "x86_64") && cfg!(target_os = "macos") {
                PlatformType::X86_64MacOS
            } else if cfg!(target_arch = "aarch64") && cfg!(target_os = "linux") {
                PlatformType::AArch64Linux
            } else {
                PlatformType::Custom
            },
            hardware_profile: HardwareProfile {
                cpu_architecture: "x86_64".to_string(),
                cpu_vendor: "Intel".to_string(),
                cpu_model: "Core i7".to_string(),
                cpu_cores: 8,
                cpu_threads: 16,
                cpu_features: vec!["AVX2".to_string(), "SSE4.2".to_string()],
                memorysize_gb: 32.0,
                memory_speed_mhz: 3200.0,
                cache_hierarchy: CacheHierarchy {
                    l1data_kb: 32,
                    l1_instruction_kb: 32,
                    l2_kb: 256,
                    l3_kb: 8192,
                    cache_linesize: 64,
                },
                numa_topology: None,
                accelerators: vec![],
            },
            software_environment: SoftwareEnvironment {
                operating_system: std::env::consts::OS.to_string(),
                os_version: "Unknown".to_string(),
                kernel_version: "Unknown".to_string(),
                compiler: "rustc".to_string(),
                compiler_version: "1.70.0".to_string(),
                runtime_environment: "Native".to_string(),
                libraries: vec![],
                environment_variables: std::env::vars().collect(),
            },
            capabilities: PlatformCapabilities {
                simd_support: vec!["SSE2".to_string(), "AVX2".to_string()],
                parallel_capabilities: ParallelCapabilities {
                    max_threads: 16,
                    numa_aware: false,
                    thread_affinity_support: true,
                    work_stealing_support: true,
                },
                memory_features: MemoryFeatures {
                    virtual_memory: true,
                    memory_mapping: true,
                    huge_pages: true,
                    numa_memory: false,
                },
                accelerator_support: vec![],
            },
        })
    }
}

#[derive(Debug, Clone, Copy, PartialEq)]
pub enum DetectionCapability {
    CPUArchitecture,
    OperatingSystem,
    HardwareFeatures,
    SoftwareEnvironment,
    PerformanceCapabilities,
}

pub struct ConsistencyTester {
    tolerance: ConsistencyTolerance,
}

impl ConsistencyTester {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            tolerance: config.consistency_tolerance.clone(),
        }
    }

    pub fn analyze_consistency(
        &self, _platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<CrossPlatformConsistencyAnalysis> {
        // Placeholder implementation
        Ok(CrossPlatformConsistencyAnalysis {
            numerical_consistency: NumericalConsistency {
                max_absolute_deviation: 1e-12,
                max_relative_deviation: 1e-10,
                consistency_score: 0.98,
                outlier_platforms: vec![],
            },
            functional_consistency: FunctionalConsistency {
                success_rate_consistency: 0.99,
                error_handling_consistency: 0.95,
                behavior_consistency: 0.97,
                inconsistent_behaviors: vec![],
            },
            performance_consistency: PerformanceConsistency {
                throughput_variance: 0.15,
                latency_variance: 0.20,
                memory_usage_variance: 0.10,
                scalability_consistency: 0.90,
                performance_outliers: vec![],
            },
            output_format_consistency: OutputFormatConsistency {
                format_consistency_score: 0.99,
                encoding_consistency: 0.98,
                precision_consistency: 0.96,
                format_differences: vec![],
            },
            overall_consistency_score: 0.96,
        })
    }
}

pub struct PerformanceVarianceAnalyzer {
    variance_tolerance: PerformanceVarianceTolerance,
}

impl PerformanceVarianceAnalyzer {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            variance_tolerance: config.performance_variance_tolerance.clone(),
        }
    }

    pub fn analyze_variance_across_platforms(
        &self, _platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<PerformanceVarianceAnalysis> {
        // Placeholder implementation
        Ok(PerformanceVarianceAnalysis {
            throughput_variance: VarianceAnalysis {
                metric_name: "Throughput".to_string(),
                mean_value: 1000.0,
                standard_deviation: 150.0,
                coefficient_of_variation: 0.15,
                min_value: 800.0,
                max_value: 1200.0,
                outlier_threshold: 600.0,
                outliers: vec![],
            },
            latency_variance: VarianceAnalysis {
                metric_name: "Latency".to_string(),
                mean_value: 10.0,
                standard_deviation: 2.0,
                coefficient_of_variation: 0.20,
                min_value: 8.0,
                max_value: 15.0,
                outlier_threshold: 20.0,
                outliers: vec![],
            },
            memory_variance: VarianceAnalysis {
                metric_name: "Memory Usage".to_string(),
                mean_value: 512.0,
                standard_deviation: 64.0,
                coefficient_of_variation: 0.125,
                min_value: 448.0,
                max_value: 640.0,
                outlier_threshold: 768.0,
                outliers: vec![],
            },
            scalability_variance: VarianceAnalysis {
                metric_name: "Scalability".to_string(),
                mean_value: 0.85,
                standard_deviation: 0.10,
                coefficient_of_variation: 0.12,
                min_value: 0.70,
                max_value: 0.95,
                outlier_threshold: 0.50,
                outliers: vec![],
            },
            variance_explanations: vec![],
        })
    }
}

pub struct NumericalPrecisionValidator {
    tolerance: ConsistencyTolerance,
}

impl NumericalPrecisionValidator {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            tolerance: config.consistency_tolerance.clone(),
        }
    }

    pub fn validate_consistency_across_platforms(
        &self, _platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<NumericalPrecisionConsistencyResult> {
        // Placeholder implementation
        Ok(NumericalPrecisionConsistencyResult {
            precision_consistency_score: 0.95,
            max_precision_error: 1e-10,
            precision_variance: 1e-12,
            precision_outliers: vec![],
            precision_recommendations: vec![],
        })
    }
}

pub struct HardwareOptimizerTester {
    optimization_types: Vec<OptimizationType>,
}

impl HardwareOptimizerTester {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            optimization_types: vec![
                OptimizationType::SIMD,
                OptimizationType::Parallel,
                OptimizationType::NUMA,
                OptimizationType::GPU,
                OptimizationType::Cache,
            ],
        }
    }

    pub fn test_optimizations_across_platforms(
        &self, _platform_results: &HashMap<String, PlatformTestResult>,
    ) -> StatsResult<HardwareOptimizationTestResult> {
        // Placeholder implementation
        Ok(HardwareOptimizationTestResult {
            test_name: "Cross-platform hardware optimization".to_string(),
            optimization_type: OptimizationType::SIMD,
            optimization_effectiveness: 0.25,
            meets_expectations: true,
            execution_time: Duration::from_millis(100),
            hardware_utilization: HardwareUtilization {
                resource_type: "SIMD".to_string(),
                utilization_percentage: 85.0,
                efficiency_score: 0.90,
            },
        })
    }
}

pub struct PlatformEdgeCaseGenerator {
    edge_case_types: Vec<EdgeCaseType>,
}

impl PlatformEdgeCaseGenerator {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            edge_case_types: vec![
                EdgeCaseType::NumericalLimits,
                EdgeCaseType::MemoryLimits,
                EdgeCaseType::PlatformSpecific,
                EdgeCaseType::HardwareLimits,
                EdgeCaseType::ConcurrencyLimits,
            ],
        }
    }

    pub fn test_platform_specific_edge_cases<F>(
        &self, _function_name: &str, _test_suite: &CrossPlatformTestSuite<F>,
    ) -> StatsResult<PlatformEdgeCaseResult>
    where
        F: Float + NumCast + Copy + Send + Sync + Debug + 'static
        + std::fmt::Display,
    {
        // Placeholder implementation
        Ok(PlatformEdgeCaseResult {
            edge_cases_tested: 10,
            platform_specific_edge_cases: HashMap::new(),
            cross_platform_edge_cases: vec![],
            critical_edge_case_failures: vec![],
        })
    }
}

pub struct CrossPlatformRegressionDetector {
    baseline_results: HashMap<String, ComprehensiveCrossPlatformResult>,
}

impl CrossPlatformRegressionDetector {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            baseline_results: HashMap::new(),
        }
    }

    pub fn storebaseline_result(
        &mut self,
        function_name: &str,
        result: &ComprehensiveCrossPlatformResult,
    ) {
        self.baseline_results.insert(function_name.to_string(), result.clone());
    }

    pub fn detect_regressions(
        &self, _function_name: &str, baseline: &ComprehensiveCrossPlatformResult, current: &ComprehensiveCrossPlatformResult,
    ) -> StatsResult<CrossPlatformRegressionResult> {
        // Placeholder implementation
        Ok(CrossPlatformRegressionResult {
            function_name: function_name.to_string(),
            regressions_detected: vec![],
            improvements_detected: vec![],
            overall_assessment: RegressionAssessment::NoRegressions,
            platform_specific_issues: HashMap::new(),
        })
    }
}

pub struct ContinuousMonitoringSystem {
    active_sessions: HashMap<String, MonitoringSession>,
}

impl ContinuousMonitoringSystem {
    pub fn new(config: &AdvancedCrossPlatformConfig) -> Self {
        Self {
            active_sessions: HashMap::new(),
        }
    }

    pub fn start_monitoring_session(
        &mut self,
        config: ContinuousMonitoringConfig,
    ) -> StatsResult<MonitoringSession> {
        let session_id = format!("session_{}", SystemTime::now().duration_since(SystemTime::UNIX_EPOCH).unwrap().as_secs());
        
        let session = MonitoringSession {
            session_id: session_id.clone(),
            start_time: SystemTime::now(),
            monitoring_config: config,
            current_status: MonitoringStatus::Starting,
        };

        self.active_sessions.insert(session_id.clone(), session.clone());
        Ok(session)
    }
}

pub struct CrossPlatformResultAggregator {
    aggregated_results: HashMap<String, Vec<ComprehensiveCrossPlatformResult>>,
}

impl CrossPlatformResultAggregator {
    pub fn new() -> Self {
        Self {
            aggregated_results: HashMap::new(),
        }
    }
}

// Factory functions

/// Create default advanced cross-platform tester
#[allow(dead_code)]
pub fn create_advanced_think_cross_platform_tester() -> AdvancedCrossPlatformTester {
    AdvancedCrossPlatformTester::new(AdvancedCrossPlatformConfig::default())
}

/// Create configured advanced cross-platform tester
#[allow(dead_code)]
pub fn create_configured_advanced_think_cross_platform_tester(
    config: AdvancedCrossPlatformConfig,
) -> AdvancedCrossPlatformTester {
    AdvancedCrossPlatformTester::new(config)
}

/// Create comprehensive cross-platform tester for production
#[allow(dead_code)]
pub fn create_comprehensive_cross_platform_tester() -> AdvancedCrossPlatformTester {
    let config = AdvancedCrossPlatformConfig {
        enable_platform_detection: true,
        enable_consistency_testing: true,
        enable_performance_analysis: true,
        enable_precision_validation: true,
        enable_hardware_optimization_testing: true,
        enable_platform_edge_cases: true,
        enable_regression_detection: true,
        enable_continuous_monitoring: true,
        thoroughness_level: PlatformTestingThoroughness::Comprehensive,
        consistency_tolerance: ConsistencyTolerance::default(),
        performance_variance_tolerance: PerformanceVarianceTolerance::default(),
        target_platforms: vec![],
        platform_test_timeout: Duration::from_secs(3600), // 1 hour
    };
    AdvancedCrossPlatformTester::new(config)
}

/// Create fast cross-platform tester for development
#[allow(dead_code)]
pub fn create_fast_cross_platform_tester() -> AdvancedCrossPlatformTester {
    let config = AdvancedCrossPlatformConfig {
        enable_platform_detection: true,
        enable_consistency_testing: true,
        enable_performance_analysis: false,
        enable_precision_validation: true,
        enable_hardware_optimization_testing: false,
        enable_platform_edge_cases: false,
        enable_regression_detection: false,
        enable_continuous_monitoring: false,
        thoroughness_level: PlatformTestingThoroughness::Basic,
        consistency_tolerance: ConsistencyTolerance {
            numerical_absolute_tolerance: 1e-8,
            numerical_relative_tolerance: 1e-6,
            performance_variance_threshold: 0.50,
            output_format_tolerance: true,
            timing_variance_threshold: 1.0,
        },
        performance_variance_tolerance: PerformanceVarianceTolerance::default(),
        target_platforms: vec![],
        platform_test_timeout: Duration::from_secs(300), // 5 minutes
    };
    AdvancedCrossPlatformTester::new(config)
}


#[cfg(test)]
#[path = "cross_platform_optimized_tests.rs"]
mod tests;
