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//! Core data structures and traits for PandRS.
//!
//! This module contains the fundamental building blocks for all PandRS operations:
//! - Column types and operations
//! - Index implementations
//! - Data value representations
//! - Error types and contexts
//! - DataFrame trait definitions
/// Advanced multi-level indexing with hierarchical operations.
///
/// Provides sophisticated indexing capabilities for multi-dimensional data access.
/// Column types and trait implementations for type-safe data operations.
///
/// Core column type definitions and casting operations.
/// Data value representation and conversions.
///
/// Unified value type for representing heterogeneous data.
/// The `DataFrameOps` trait for polymorphic operations.
///
/// Defines a structural operation set implemented by DataFrame wrapper types
/// such as the JIT-optimized wrapper; the base `DataFrame` uses inherent methods.
/// Error types for the core module.
///
/// Defines all error conditions that can occur in core operations with context support.
/// Error context and recovery utilities.
///
/// Enhanced error handling with contextual information and recovery strategies.
/// Index trait and implementations.
///
/// Provides indexing capabilities for Series and DataFrames.
/// Migration utilities for backward compatibility.
///
/// Tools for migrating between different versions of data structures. The
/// module itself is hidden from the public docs (internal surface); the
/// intended public types are re-exported via the `pub use migration::{..}`
/// facade below.
/// Multi-index (hierarchical index) implementation.
///
/// Enables hierarchical indexing for advanced data organization.
/// Synchronization helpers for thread-safe operations.
///
/// Utilities for safe concurrent access to shared data structures. Hidden from
/// the public docs (internal helper surface); kept `pub` rather than
/// `pub(crate)` because the helpers have no in-crate callers, so demoting them
/// would make them dead code.
// Re-exports for convenience
pub use ;
pub use ;
pub use DataValue;
pub use ;
pub use ;
pub use ;
pub use ;
pub use ;
pub use MultiIndex;