DiffMatchPatch - diffmatchpatch

The Diff Match and Patch libraries offer robust algorithms to perform the operations required for synchronising plain text. This repository contains a Rust version of the original diff-match-patch library, using up-to-date crate packages.

Modification Compared to the Upstream

• Use Chars(Vec<char>) to represent text instead of String to avoid unnecessary traversing of the string
• Extend diff_lines_to_chars to diff_any_to_chars to support lines, text blocks, any sequence of comparable items
• Test cases from distill-io/diff-match-patch.rs
• [ ] Implement the patch part

Demo

The same example is copied from https://neil.fraser.name/software/diff_match_patch/demos/diff.html.

```rust use diffmatchpatch::prelude::*;

fn main() { let text1 = r#"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical."#; let text2 = r#"I am the very model of a cartoon individual, My animation's comical, unusual, and whimsical, I'm quite adept at funny gags, comedic theory I have read, From wicked puns and stupid jokes to anvils that drop on your head."#;

// No Cleanup
//let diffs = diff_main(text2, text1);
//println!("diffs {:#?}", diffs);

// Semantic Cleanup
let diffs = diff_semantic(text2, text1);
println!("Semantic diffs {:#?}", diffs);

// Word mode
let diffs = diff_word_mode(text2, text1);
println!("Word diffs {:#?}", diffs);

// diff_word_mode is also avaliable, but is meaningless to this example

} ```

Original

This code is forked originally from dmp, licensed under the MIT license.

Features

• Diffing and patching library for plain text
• Retrieve differences between two blocks of text
• Create a set of patches for converting a block of text into another
• Apply a set of patches onto a block of text to convert it to another block of text
• Uses best-effort to apply patch even when the underlying text doesn't fully match.

speedtest

On a M1 Pro MacBook Pro:

text Python3 8.695004s JS(Chrome) 0.469s speedtest 147.20 ms