helix - Unnamed repository; edit this file 'description' to name the repository.


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[
  (import)
] @keyword.control.import

[
  (package)
] @namespace

[
  (with)
  (as)
  (every)
  (some)
  (in)
  (default)
  "null"
] @keyword.control

[
  (not)
  (if)
  (contains)
  (else)
] @keyword.control.conditional

[
  (boolean)
] @constant.builtin.boolean

[
  (assignment_operator)
  (bool_operator)
  (arith_operator)
  (bin_operator)
] @operator

[
  (string)
  (raw_string)
] @string

(term (ref (var))) @variable

(comment) @comment.line

(number) @constant.numeric.integer

(expr_call func_name: (fn_name (var) @function .))

(expr_call func_arguments: (fn_args (expr) @variable.parameter))

(rule_args (term) @variable.parameter)

[
  (open_paren)
  (close_paren)
  (open_bracket)
  (close_bracket)
  (open_curly)
  (close_curly)
] @punctuation.bracket

(rule (rule_head (var) @function.method))

(rule
  (rule_head (term (ref (var) @namespace)))
  (rule_body (query (literal (expr (expr_infix (expr (term (ref (var)) @_output)))))) (#eq? @_output @namespace))
)
[dependencies]
diff-match-patch-rs = "0.1.0-beta.3"
use diff_match_patch_rs::{DiffMatchPatch, Efficient, Error, PatchInput};

// This is the source text
const TXT_OLD: &str = "I am the very model of a modern Major-General, I've information on vegetable, animal, and mineral, 🚀👏👀";

// Let's assume this to be the text that was editted from the source text
const TXT_NEW: &str = "I am the very model of a cartoon individual, My animation's comical, unusual, and whimsical.😊👀";

// An example of a function that creates a diff and returns a set of patches serialized
fn at_source() -> Result<String, Error> {
    // initializing the module
    let dmp = DiffMatchPatch::new();
    // create a list of diffs
    let diffs = dmp.diff_main::<Efficient>(TXT_OLD, TXT_NEW)?;
    // Now, we are going to create a list of `patches` to be applied to the old text to get the new text
    let patches = dmp.patch_make(PatchInput::new_diffs(&diffs))?;
    // in the real world you are going to transmit or store this diff serialized to undiff format to be consumed or used somewhere elese
    let patch_txt = dmp.patch_to_text(&patches);

    Ok(patch_txt)
}

fn at_destination(patches: &str) -> Result<(), Error> {
    // initializing the module
    let dmp = DiffMatchPatch::new();
    // lets recreate the diffs from patches
    let patches = dmp.patch_from_text::<Efficient>(patches)?;
    // Now, lets apply these patches to the `old_txt` which is the original to get the new text
    let (new_txt, ops) = dmp.patch_apply(&patches, TXT_OLD)?;
    // Lets print out if the ops succeeded or not
    ops.iter()
        .for_each(|&o| println!("{}", if o { "OK" } else { "FAIL" }));

    // If everything goes as per plan you should see
    // OK
    // OK
    // ... and so on

    // lets check out if our `NEW_TXT` (presumably the edited one)
    if new_txt != TXT_NEW {
        return Err(Error::InvalidInput);
    }

    println!("Wallah! Patch applied successfully!");

    Ok(())
}

fn main() -> Result<(), Error> {
    // At the source of diff where the old text is being edited we'll create a set of patches
    let patches = at_source()?;
    // We'll send this diff to some destination e.g. db or the client where these changes are going to be applied
    // The destination will receive the patch string and will apply the patches to recreate the edits
    at_destination(&patches)
}
use diff_match_patch_rs::{DiffMatchPatch, Compat, Error, PatchInput};

// This is the source text
const TXT_OLD: &str = "I am the very model of a modern Major-General, I've information on vegetable, animal, and mineral, 🚀👏👀";

// Let's assume this to be the text that was editted from the source text
const TXT_NEW: &str = "I am the very model of a cartoon individual, My animation's comical, unusual, and whimsical.😊👀";

// An example of a function that creates a diff and returns a set of patches serialized
fn at_source() -> Result<String, Error> {
    // initializing the module
    let dmp = DiffMatchPatch::new();
    // create a list of diffs
    let diffs = dmp.diff_main::<Compat>(TXT_OLD, TXT_NEW)?;
    // Now, we are going to create a list of `patches` to be applied to the old text to get the new text
    let patches = dmp.patch_make(PatchInput::new_diffs(&diffs))?;
    // in the real world you are going to transmit or store this diff serialized to undiff format to be consumed or used somewhere elese
    let patch_txt = dmp.patch_to_text(&patches);

    Ok(patch_txt)
}

fn at_destination(patches: &str) -> Result<(), Error> {
    // initializing the module
    let dmp = DiffMatchPatch::new();
    // lets recreate the diffs from patches
    let patches = dmp.patch_from_text::<Compat>(patches)?;
    // Now, lets apply these patches to the `old_txt` which is the original to get the new text
    let (new_txt, ops) = dmp.patch_apply(&patches, TXT_OLD)?;
    // Lets print out if the ops succeeded or not
    ops.iter()
        .for_each(|&o| println!("{}", if o { "OK" } else { "FAIL" }));

    // If everything goes as per plan you should see
    // OK
    // OK
    // ... and so on

    // lets check out if our `NEW_TXT` (presumably the edited one)
    if new_txt != TXT_NEW {
        return Err(Error::InvalidInput);
    }

    println!("Wallah! Patch applied successfully!");

    Ok(())
}

fn main() -> Result<(), Error> {
    // At the source of diff where the old text is being edited we'll create a set of patches
    let patches = at_source()?;
    // We'll send this diff to some destination e.g. db or the client where these changes are going to be applied
    // The destination will receive the patch string and will apply the patches to recreate the edits
    at_destination(&patches)
}
Lang.	Library	Diff Avg.	Patch Avg.	Bencher	Mode	Correct
`rust`	diff_match_patch v0.1.1[^2]	68.108 ms	10.596 ms	Criterion	-	✅
`rust`	diffmatchpatch v0.0.4[^3]	66.454 ms	-	Criterion	-	❌
`rust`	dmp v0.2.0	69.019 ms	14.654 ms	Criterion	-	✅
`rust`	diff-match-patch-rs^our	65.487 ms	631.13 µs	Criterion	`Efficient`	✅
`rust`	diff-match-patch-rs^our	65.642 ms	1.1703 ms	Criterion	`Compat`	✅
`go`	go-diff[^1]	50.31 ms	135.2 ms	go test	-	❌
`node`	diff-match-patch	246.90 ms	1.07 ms	tinybench	-	✅
`python`	diff-match-patch	1.01 s	0.25 ms	timeit	-	✅