single_utilities/types/
mod.rs

1use std::hash::Hash;
2
3/// Represents the direction of operations in matrix or array computations.
4/// 
5/// This enum is used to specify whether operations should be performed
6/// along rows or columns of a data structure.
7pub enum Direction {
8    /// Operations performed along columns (vertical direction)
9    COLUMN,
10    /// Operations performed along rows (horizontal direction)
11    ROW,
12}
13
14impl Clone for Direction {
15    fn clone(&self) -> Self {
16        match self {
17            Self::ROW => Self::ROW,
18            Self::COLUMN => Self::COLUMN,
19        }
20    }
21}
22
23impl Direction {
24    /// Checks if the direction is row-wise.
25    /// 
26    /// # Returns
27    /// `true` if the direction is `ROW`, `false` if it's `COLUMN`
28    pub fn is_row(&self) -> bool {
29        match self {
30            Self::ROW => true,
31            Self::COLUMN => false,
32        }
33    }
34}
35
36/// A trait for types that can serve as batch identifiers.
37/// 
38/// This trait is used to identify and group data in batch processing operations.
39/// Types implementing this trait must be cloneable, comparable for equality,
40/// and hashable for efficient lookup operations.
41pub trait BatchIdentifier: Clone + Eq + Hash {}
42
43// Implement BatchIdentifier for common types
44impl BatchIdentifier for String {}
45impl BatchIdentifier for &str {}
46impl BatchIdentifier for i32 {}
47impl BatchIdentifier for u32 {}
48impl BatchIdentifier for usize {}
49
50/// Enumeration of distance metrics for mathematical computations.
51/// 
52/// This enum defines common distance metrics used in machine learning,
53/// clustering, and similarity calculations. Each variant represents
54/// a different approach to measuring the distance between points or vectors.
55#[derive(Debug, Clone, Copy)]
56pub enum DistanceMetric {
57    /// Euclidean distance (L2 norm) - straight-line distance between points
58    Euclidean,
59    /// Manhattan distance (L1 norm) - sum of absolute differences along each dimension
60    Manhattan,
61    /// Cosine distance - measures the cosine of the angle between vectors
62    Cosine,
63}
single_utilities/types/mod.rs

single_utilities/types/
mod.rs
