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//! Raw trait definitions for unchecked scalar operations.
//!
//! This module defines the fundamental traits for raw number types (like `f64` or `rug::Float`).
//! These traits provide `unchecked_*` methods that assume inputs are valid and do not perform
//! any validation.
//!
//! # Trait Hierarchy
//!
//! ```text
//! RawScalarTrigonometric ─┐
//! RawScalarHyperbolic ────┼──> RawScalarTrait ──> RawRealTrait
//! RawScalarPow ───────────┘ └──> RawComplexTrait
//! ```
use crate::;
use ;
// =============================================================================
// Trigonometric Operations
// =============================================================================
/// Trait for unchecked trigonometric operations.
///
/// Provides sine, cosine, tangent and their inverse functions without validation.
// =============================================================================
// Hyperbolic Operations
// =============================================================================
/// Trait for unchecked hyperbolic operations.
///
/// Provides hyperbolic sine, cosine, tangent and their inverse functions without validation.
// =============================================================================
// Power Operations
// =============================================================================
/// Trait for unchecked power operations with integer exponents.
///
/// Provides power functions for all standard integer types without validation.
// =============================================================================
// Core Scalar Trait
// =============================================================================
/// A baseline trait for raw scalar types, defining core operations and properties.
///
/// This trait must be implemented by the underlying number types used in a kernel,
/// such as like [`f64`] or [`rug::Float`](https://docs.rs/rug/latest/rug/struct.Float.html).
/// It provides a standard interface for arithmetic
/// and a suite of `unchecked_*` methods for mathematical functions.
///
/// ## Hashing Support
///
/// All raw scalar types (both real and complex) must implement [`compute_hash()`](Self::compute_hash),
/// which provides a consistent hashing mechanism. The hash implementation must ensure:
///
/// - **Mathematical Equality**: Values that are mathematically equal produce identical hashes
/// - **Signed Zero Handling**: Both `+0.0` and `-0.0` hash to the same value
/// - **Finite Values Only**: The hash is only well-defined for finite values (not NaN or infinity)
/// - **Consistency**: The same value always produces the same hash across multiple calls
///
/// For complex numbers, the hash is computed by sequentially hashing the real and imaginary
/// parts, ensuring that different complex numbers produce different hashes while maintaining
/// the equality invariant.
///
/// This enables validated wrapper types to implement [`Hash`](std::hash::Hash) when their validation
/// policies guarantee finite values (via [`crate::core::traits::validation::GuaranteesFiniteRealValues`]),
/// allowing them to be used as keys in [`HashMap`](std::collections::HashMap) and [`HashSet`](std::collections::HashSet).
///
/// # Safety and Contracts
///
/// The `unchecked_*` methods are designed for performance and assume that the caller
/// has already validated the inputs. Calling them with invalid data (e.g., `unchecked_sqrt`
/// on a negative real number) may lead to panics, incorrect results, or undefined behavior,
/// depending on the underlying type's implementation.
// =============================================================================
// Real Trait
// =============================================================================
/// A trait for raw real scalar types, extending [`RawScalarTrait`] with real-specific operations.
///
/// This trait defines the fundamental operations for real number types without
/// validation or safety checks. Implementations should assume inputs are valid
/// and focus on computational efficiency.
///
/// This trait is implemented by the underlying real number types within a kernel, such as [`f64`]
/// or [`rug::Float`](https://docs.rs/rug/latest/rug/struct.Float.html).
/// It builds upon [`RawScalarTrait`] by adding operations that are unique
/// to real numbers, like `atan2`, and by enforcing an ordering relationship.
///
/// ## Hashing Support
///
/// Types implementing this trait must provide a `compute_hash` method that:
/// - Produces consistent hash values for mathematically equal numbers
/// - Handles floating-point edge cases (like signed zeros) correctly
/// - Maintains the contract that `a == b` implies `hash(a) == hash(b)`
///
/// This enables validated wrapper types to implement [`Hash`](std::hash::Hash) when appropriate
/// validation policies guarantee finite values.
///
/// # Trait Bounds
///
/// - `RawScalarTrait<ValidationErrors = ErrorsValidationRawReal<Self>>`: Ensures that the type
/// is a raw scalar and that its validation error type is the standard one for real numbers.
/// - [`PartialOrd`]: Requires that the type can be partially ordered, which is fundamental for
/// real numbers.
/// - [`PartialOrd<f64>`]: These crucial bounds allow instances of the raw
/// real type to be directly compared with `f64` constants. This is essential for implementing
/// domain checks (e.g., `value < 0.0` or `value >= 0.0`) that work across
/// both [`f64`] and [`rug::Float`](https://docs.rs/rug/latest/rug/struct.Float.html) without extra conversions.
///
/// # Associated Types
///
/// - `type RawComplex: RawComplexTrait<RawReal = Self>`: This links the raw real type to its
/// corresponding complex number representation. For example, for [`f64`], this would be
/// [`num::Complex<f64>`]. This association is vital for operations that can transition
/// from the real to the complex domain.
// =============================================================================
// Complex Trait
// =============================================================================
/// A trait for raw complex scalar types, extending [`RawScalarTrait`].
///
/// This trait is implemented by the underlying complex number types within a kernel,
/// such as [`num::Complex<f64>`]. It builds upon [`RawScalarTrait`] by adding operations
/// that are unique to complex numbers.
///
/// # Trait Bounds
///
/// - `RawScalarTrait<...>`: Ensures the type is a raw scalar and fixes its validation
/// error type to [`ErrorsValidationRawComplex`], which in turn wraps the validation
/// error of the associated real type. This establishes a consistent error structure.
/// - [`Conjugate`]: Requires that the complex number can be conjugated.
///
/// # Associated Types
///
/// - `type RawReal: RawRealTrait<RawComplex = Self>`: This is a critical part of the
/// design. It links the complex type to its underlying real component type (e.g., [`f64`]
/// for [`num::Complex<f64>`]). This associated real type must itself implement [`RawRealTrait`],
/// creating a two-way link between the real and complex raw types.
///
/// # Methods
///
/// This trait provides methods for accessing components and performing complex-specific
/// mathematical operations without validation checks.