Lib.rs

diffr_lib

This crate implements various algorithms described in E. Myers paper: An O(ND) Difference Algorithm and Its Variations.

The main entrypoint is diff, which allows to compute the longest common subsequence between two sequences of byte slices.

Note that the current API is not stabilized yet.

Usage

Add this to your Cargo.toml:

[dependencies]
diffr-lib="*"

use diffr_lib::{diff, DiffInput, HashedSpan, Tokenization};
use std::collections::HashSet;

fn main() {
    fn line(lo: usize, hi: usize) -> HashedSpan {
        HashedSpan { lo, hi, hash: 0 }
    }

    let old_data = b"I need to buy apples.\n\
I need to run the laundry.\n\
I need to wash the dog.\n\
I need to get the car detailed.";
    let old_tokens = vec![line(0, 21), line(22, 48), line(49, 72), line(73, 104)];

    let new_data = b"I need to buy apples.\n\
I need to do the laundry.\n\
I need to wash the car.\n\
I need to get the dog detailed.";
    let new_tokens = vec![line(0, 21), line(22, 47), line(48, 71), line(72, 103)];

    let input = DiffInput {
        added: Tokenization::new(old_data, &old_tokens),
        removed: Tokenization::new(new_data, &new_tokens),
    };
    let mut namespace = vec![]; // memory used during the diff algorithm
    let mut shared_blocks = vec![]; // results
    diff(&input, &mut namespace, &mut shared_blocks);

    let mut old_shared = HashSet::new();
    let mut new_shared = HashSet::new();

    println!("LCS:");
    for shared_block in &shared_blocks {
        for line_idx in 0..shared_block.len as usize {
            let old_line_index = shared_block.x0 as usize + line_idx;
            let old_line = old_tokens[old_line_index];
            old_shared.insert(old_line_index);
            let new_line_index = shared_block.y0 as usize + line_idx;
            new_shared.insert(new_line_index);
            println!(
                "\t{}",
                String::from_utf8_lossy(&old_data[old_line.lo..old_line.hi])
            );
        }
    }

    println!("unique to old data: ");
    for i in 0..old_tokens.len() {
        if !old_shared.contains(&i) {
            let old_line = old_tokens[i];
            println!(
                "\t{}",
                String::from_utf8_lossy(&old_data[old_line.lo..old_line.hi])
            );
        }
    }

    println!("unique to new data: ");
    for i in 0..new_tokens.len() {
        if !new_shared.contains(&i) {
            let new_line = new_tokens[i];
            println!(
                "\t{}",
                String::from_utf8_lossy(&new_data[new_line.lo..new_line.hi])
            );
        }
    }
}