scirs2-stats 0.4.1

Statistical functions module for SciRS2 (scirs2-stats)
Documentation 
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//! Temporary stubs for Advanced modules to enable compilation
//! These will be replaced with proper implementations once compilation issues are resolved

#![allow(dead_code)]

use crate::error::StatsResult;
use scirs2_core::ndarray::{Array1, Array2};
use std::collections::HashMap;
use std::time::Duration;

/// Temporary stub for AdvancedParallelProcessor
#[derive(Debug, Clone)]
pub struct AdvancedParallelProcessor;

impl AdvancedParallelProcessor {
    pub fn new() -> Self {
        Self
    }
}

/// Temporary stub for AdvancedParallelConfig
#[derive(Debug, Clone)]
pub struct AdvancedParallelConfig;

impl Default for AdvancedParallelConfig {
    fn default() -> Self {
        Self
    }
}

/// Temporary stub for MatrixOperationType
#[derive(Debug, Clone, Copy)]
pub enum MatrixOperationType {
    CovarianceMatrix,
    CorrelationMatrix,
}

/// Temporary stub for TimeSeriesOperation
#[derive(Debug, Clone, Copy)]
pub enum TimeSeriesOperation {
    MovingAverage,
}

/// Temporary stub for AdvancedParallelBatchResult
#[derive(Debug, Clone)]
pub struct AdvancedParallelBatchResult<F> {
    pub mean: F,
    pub variance: F,
    pub std_dev: F,
    pub min: F,
    pub max: F,
    pub count: usize,
    pub sum: F,
}

/// Temporary stub for AdvancedParallelMatrixResult
#[derive(Debug, Clone)]
pub struct AdvancedParallelMatrixResult<F> {
    pub result: Array2<F>,
}

/// Temporary stub for AdvancedParallelTimeSeriesResult
#[derive(Debug, Clone)]
pub struct AdvancedParallelTimeSeriesResult<F> {
    pub result: Array1<F>,
}

/// Factory function stub
pub fn create_advanced_parallel_processor() -> AdvancedParallelProcessor {
    AdvancedParallelProcessor::new()
}

/// Temporary stub for other missing Advanced types
#[derive(Debug, Clone)]
pub struct AdvancedNumericalStabilityAnalyzer;

#[derive(Debug, Clone)]
pub struct ComprehensiveStabilityResult;

#[derive(Debug, Clone)]
pub struct AdvancedNumericalStabilityConfig;

impl Default for AdvancedNumericalStabilityConfig {
    fn default() -> Self {
        Self
    }
}

pub fn create_exhaustive_numerical_stability_tester() -> AdvancedNumericalStabilityAnalyzer {
    AdvancedNumericalStabilityAnalyzer
}

impl AdvancedNumericalStabilityAnalyzer {
    pub fn analyze_statistical_stability<F, D>(&self, &scirs2_core::ndarray::ArrayBase<D, scirs2_core::ndarray::Ix1>) -> ComprehensiveStabilityResult
    where
        F: Float,
        D: scirs2_core::ndarray::Data<Elem = F>
        + std::fmt::Display,
    {
        ComprehensiveStabilityResult
    }
}

/// Temporary stub for AdvancedSimdConfig
#[derive(Debug, Clone)]
pub struct AdvancedSimdConfig {
    pub memory_threshold_mb: f64,
}

impl Default for AdvancedSimdConfig {
    fn default() -> Self {
        Self {
            memory_threshold_mb: 1000.0,
        }
    }
}

/// Temporary stub for AdvancedSimdOptimizer
#[derive(Debug, Clone)]
pub struct AdvancedSimdOptimizer {
    config: AdvancedSimdConfig,
}

impl AdvancedSimdOptimizer {
    pub fn new(config: AdvancedSimdConfig) -> Self {
        Self { config }
    }

    pub fn advanced_batch_statistics<F, D>(
        &self, data_arrays: &[scirs2_core::ndarray::ArrayView1<F>], _operations: &[BatchOperation],
    ) -> StatsResult<BatchResults<F>>
    where
        F: Float + Copy,
        D: scirs2_core::ndarray::Data<Elem = F>
        + std::fmt::Display,
    {
        // Return default values for now
        Ok(BatchResults {
            mean: F::zero(),
            variance: F::zero(),
            std_dev: F::zero(),
            skewness: F::zero(),
            kurtosis: F::zero(),
            min: F::zero(),
            max: F::zero(),
            count: 0,
            sum: F::zero(),
            sum_squares: F::zero(),
        })
    }
}

/// Temporary stub for BatchOperation
#[derive(Debug, Clone, Copy)]
pub enum BatchOperation {
    Mean,
    Variance,
    StandardDeviation,
    Covariance,
    Correlation,
}

/// Temporary stub for BatchResults
#[derive(Debug, Clone)]
pub struct BatchResults<F> {
    pub mean: F,
    pub variance: F,
    pub std_dev: F,
    pub skewness: F,
    pub kurtosis: F,
    pub min: F,
    pub max: F,
    pub count: usize,
    pub sum: F,
    pub sum_squares: F,
}

// Add more stubs as needed for other missing types