mirror of
https://github.com/OrcaSlicer/OrcaSlicer.git
synced 2026-09-27 10:51:22 +00:00
Search improvements. Code refactoring so its easier to maintain. Experimental features for speed dial: connect/disconnect from printer.
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@@ -34,24 +34,44 @@ function NormText(text, caseSensitive) {
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// Match a PRE-normalized haystack against a PRE-normalized needle (both produced by NormText with the
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// same caseSensitive flag). Skipping the per-character fold makes repeated matching (per keystroke over a
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// cached pool) cheap. Returns ranges in original coordinates, or null on no match.
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// Prefers the most-contiguous (smallest-span) occurrence over greedy-leftmost: a scattered match that
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// spans a stray earlier character is worse than a tight run later, so "orient" against a normalized
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// "auto-orient" returns [[5,11]] (the word) not [[3,4],[6,11]]. A fully contiguous run is the optimum
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// and short-circuits early.
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function FuzzyRangesNorm(haystackNorm, needleNorm) {
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const t = haystackNorm || "";
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const needle = needleNorm || "";
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if (!needle)
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return null;
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const ranges = [];
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let qi = 0;
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for (let i = 0; i < t.length && qi < needle.length; i++) {
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if (t[i] === needle[qi]) {
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const last = ranges[ranges.length - 1];
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if (last && last[1] === i)
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last[1] = i + 1;
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else
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ranges.push([i, i + 1]);
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qi++;
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const n = t.length, nl = needle.length;
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let best = null; // {ranges, span, start}
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for (let start = 0; start < n; start++) {
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if (t[start] !== needle[0])
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continue;
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let qi = 0;
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const ranges = [];
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let lastEnd = start;
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for (let i = start; i < n && qi < nl; i++) {
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if (t[i] === needle[qi]) {
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const last = ranges[ranges.length - 1];
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if (last && last[1] === i)
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last[1] = i + 1;
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else
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ranges.push([i, i + 1]);
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lastEnd = i + 1;
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qi++;
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}
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}
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if (qi !== nl)
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continue;
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const span = lastEnd - start;
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if (!best || span < best.span || (span === best.span && start < best.start)) {
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best = { ranges, span, start };
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if (span === nl)
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return ranges; // can't beat a fully contiguous run
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}
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}
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return qi === needle.length ? ranges : null;
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return best ? best.ranges : null;
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}
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function EscapeRegExp(value) {
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@@ -95,3 +115,18 @@ function WholeWordRanges(text, query, caseSensitive) {
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ranges.push([match.index, match.index + match[0].length]);
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return ranges.length > 0 ? ranges : null;
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}
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// Same whole-word (\b-bounded) match as WholeWordRanges, but against PRE-normalized haystack/needle
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// (NormText output, so offsets stay length-aligned to the original text). Returns the first match as
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// [[i, i+len]] in original coordinates, or null. Non-global so the caller can reuse one compiled regex
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// across many fields without re-setting lastIndex. Skipping the per-char fold keeps the Speed Dial's
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// per-keystroke scan over thousands of cached settings cheap.
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function WholeWordRangesNorm(haystackNorm, needleNorm) {
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const t = haystackNorm || "";
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const needle = needleNorm || "";
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if (!needle)
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return null;
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const re = new RegExp(`\\b${EscapeRegExp(needle)}\\b`);
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const match = re.exec(t);
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return match ? [[match.index, match.index + match[0].length]] : null;
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}
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@@ -5,7 +5,7 @@ const vm = require("vm"), assert = require("assert"), fs = require("fs");
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const ctx = {};
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vm.createContext(ctx);
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vm.runInContext(fs.readFileSync(__dirname + "/fuzzy-search.js", "utf8"), ctx);
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const { FoldChar, Norm, EscapeRegExp, FuzzyRanges, WholeWordRanges } = ctx;
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const { FoldChar, Norm, NormText, EscapeRegExp, FuzzyRanges, WholeWordRanges, FuzzyRangesNorm, WholeWordRangesNorm } = ctx;
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// FoldChar / Norm: accents fold, case only folds when case-insensitive.
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assert.equal(FoldChar("é"), "e");
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@@ -34,4 +34,15 @@ assert.deepEqual(WholeWordRanges("a.b", "a", false), [[0, 1]]); // '.' is a
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assert.equal(EscapeRegExp("a.b*"), "a\\.b\\*");
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assert.deepEqual(WholeWordRanges("c++ tool", "c", false), [[0, 1]]); // '+' would be a regex error unescaped
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// FuzzyRangesNorm: prefers the most-contiguous (smallest-span) occurrence over greedy-leftmost, so a
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// stray earlier character does not steal the highlight from a later tight word.
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assert.deepEqual(FuzzyRangesNorm(NormText("Auto-Orient", false), NormText("orient", false)), [[5, 11]]);
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// A contiguous run inside a larger word is also preferred over a scattered greedy pick.
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assert.deepEqual(FuzzyRangesNorm(NormText("AutoOriented", false), NormText("orient", false)), [[4, 10]]);
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assert.equal(FuzzyRangesNorm(NormText("Measure", false), NormText("xyz", false)), null); // no subsequence
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// WholeWordRangesNorm: \b-bounded literal against a pre-normalized haystack, offsets in original coords.
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assert.deepEqual(WholeWordRangesNorm(NormText("Auto-Orient", false), NormText("orient", false)), [[5, 11]]);
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assert.equal(WholeWordRangesNorm(NormText("AutoOriented", false), NormText("orient", false)), null); // inside a word
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console.log("ok");
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