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//! # Advanced Pattern Analysis Module
//!
//! This module provides sophisticated statistical analysis capabilities for the MCP server,
//! including changepoint detection, correlation analysis, forecasting, and causal inference.
//!
//! ## Features
//!
//! - **Statistical Engine**: Bayesian changepoint detection and correlation analysis
//! - **Predictive Models**: Time series forecasting and anomaly detection
//! - **Causal Inference**: Hyper-geometric computational causality
//! - **Performance**: Streaming algorithms and parallel processing
//!
//! ## Architecture
//!
//! ```text
//! ┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
//! │ Statistical │ │ Predictive │ │ MCP Tool │
//! │ Engine │ │ Models │ │ Integration │
//! │ │ │ │ │ │
//! │ - Changepoint │ │ - Forecasting │ │ - Tool Reg. │
//! │ - Correlation │ │ - Anomaly Det. │ │ - Input Val. │
//! │ - Significance │ │ - Causal Inf. │ │ - Memory Query │
//! └─────────────────┘ └──────────────────┘ └─────────────────┘
//! │ │ │
//! └───────────────────────┼───────────────────────┘
//! ▼
//! ┌─────────────────────┐
//! │ Performance & │
//! │ Caching Layer │
//! │ │
//! │ - redb Cache │
//! │ - Streaming Alg. │
//! │ - Parallel Proc. │
//! └─────────────────────┘
//! ```
pub use ;
pub use ;
pub use ;