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📄 .bower.json { "name": "sifter", "keywords": [ "search", "filter", "sift", "data", "results", "match", "sort", "autocomplete" ], "description": "A library for textually searching arrays and hashes of objects by property (or multiple properties). Designed specifically for autocomplete.", "version": "0.4.5", "license": "Apache License, Version 2.0", "readmeFilename": "README.md", "repository": { "type": "git", "url": "git://github.com/brianreavis/sifter.js.git" }, "main": [ "sifter.js" ], "ignore": [ "Makefile", "test", "lib", "bin", "benchmark", "node_modules", ".travis.yml" ], "dependencies": {}, "homepage": "https://github.com/brianreavis/sifter.js", "_release": "0.4.5", "_resolution": { "type": "version", "tag": "v0.4.5", "commit": "facff802f388feba9bc4c649fe5acd3ad53d84e9" }, "_source": "git://github.com/brianreavis/sifter.js.git", "_target": "0.4.x", "_originalSource": "sifter" }	1009 B	2026-03-19 10:51
📄 .gitignore .DS_store node_modules benchmark/report.json	44 B	2026-03-19 10:51
📄 .npmignore .md .git benchmark/ test/	27 B	2026-03-19 10:51
📄 README.md # sifter.js [![NPM version](http://img.shields.io/npm/v/sifter.svg?style=flat)](https://www.npmjs.org/package/sifter) [![Installs](http://img.shields.io/npm/dm/sifter.svg?style=flat)](https://www.npmjs.org/package/sifter) [![Build Status](https://travis-ci.org/brianreavis/sifter.js.svg)](https://travis-ci.org/brianreavis/sifter.js) [![Coverage Status](http://img.shields.io/coveralls/brianreavis/sifter.js/master.svg?style=flat)](https://coveralls.io/r/brianreavis/sifter.js) Sifter is a client and server-side library (via [UMD](https://github.com/umdjs/umd)) for textually searching arrays and hashes of objects by property – or multiple properties. It's designed specifically for autocomplete. The process is three-step: score, filter, sort. * Supports díåcritîçs.<br>For example, if searching for "montana" and an item in the set has a value of "montaña", it will still be matched. Sorting will also play nicely with diacritics. * Smart scoring.<br>Items are scored / sorted intelligently depending on where a match is found in the string (how close to the beginning) and what percentage of the string matches. * Multi-field sorting.<br>When scores aren't enough to go by – like when getting results for an empty query – it can sort by one or more fields. For example, sort by a person's first name and last name without actually merging the properties to a single string. ```sh $ npm install sifter # node.js $ bower install sifter # browser ``` ## Usage ```js var sifter = new Sifter([ {title: 'Annapurna I', location: 'Nepal', continent: 'Asia'}, {title: 'Annapurna II', location: 'Nepal', continent: 'Asia'}, {title: 'Annapurna III', location: 'Nepal', continent: 'Asia'}, {title: 'Eiger', location: 'Switzerland', continent: 'Europe'}, {title: 'Everest', location: 'Nepal', continent: 'Asia'}, {title: 'Gannett', location: 'Wyoming', continent: 'North America'}, {title: 'Denali', location: 'Alaska', continent: 'North America'} ]); var result = sifter.search('anna', { fields: ['title', 'location', 'continent'], sort: [{field: 'title', direction: 'asc'}], limit: 3 }); ``` Seaching will provide back meta information and an "items" array that contains objects with the index (or key, if searching a hash) and a score that represents how good of a match the item was. Items that did not match will not be returned. ``` {"score": 0.2878787878787879, "id": 0}, {"score": 0.27777777777777773, "id": 1}, {"score": 0.2692307692307692, "id": 2} ``` Items are sorted by best-match, primarily. If two or more items have the same score (which will be the case when searching with an empty string), it will resort to the fields listed in the "sort" option. The full result comes back in the format of: ```js { "options": { "fields": ["title", "location", "continent"], "sort": [ {"field": "title", "direction": "asc"} ], "limit": 3 }, "query": "anna", "tokens": [{ "string": "anna", "regex": /[aÀÁÂÃÄÅàáâãäå][nÑñ][nÑñ][aÀÁÂÃÄÅàáâãäå]/ }], "total": 3, "items": [ {"score": 0.2878787878787879, "id": 0}, {"score": 0.27777777777777773, "id": 1}, {"score": 0.2692307692307692,"id": 2} ] } ``` ### API #### #.search(query, options) Performs a search for `query` with the provided `options`. <table width="100%"> <tr> <th align="left">Option</th> <th>Type</th> <th align="left" width="100%">Description</th> </tr> <tr> <td valign="top">"fields"</td> <td valign="top">array</td> <td valign="top">An array of property names to be searched.</td> </tr> <tr> <td valign="top">"limit"</td> <td valign="top">integer</td> <td valign="top">The maximum number of results to return.</td> </tr> <tr> <td valign="top">"sort"</td> <td valign="top">array</td> <td valign="top">An array of fields to sort by. Each item should be an object containing at least a "field" property. Optionally, "direction" can be set to "asc" or "desc". The order of the array defines the sort precedence.<br><br>Unless present, a special "$score" property will be automatically added to the beginning of the sort list. This will make results sorted primarily by match quality (descending).</td> </tr> <tr> <td valign="top">"sort_empty"</td> <td valign="top">array</td> <td valign="top">Optional. Defaults to "sort" setting. If provided, these sort settings are used when no query is present.</td> </tr> <tr> <td valign="top">"filter"</td> <td valign="top">boolean</td> <td valign="top">If <code>false</code>, items with a score of zero will <em>not</em> be filtered out of the result-set.</td> </tr> <tr> <td valign="top">"conjunction"</td> <td valign="top">string</td> <td valign="top">Determines how multiple search terms are joined ("and" or "or").</td> </tr> </table> ## CLI ![CLI](http://i.imgur.com/fSQBnWZ.png) Sifter comes with a command line interface that's useful for testing on datasets. It accepts JSON and CSV data, either from a file or from stdin (unix pipes). If using CSV data, the first line of the file must be a header row. ```sh $ npm install -g sifter ``` ```sh $ cat file.csv \| sifter --query="ant" --fields=title $ sifter --query="ant" --fields=title --file=file.csv ``` ## Contributing Install the dependencies that are required to build and test: ```sh $ npm install ``` First build a copy with `make` then run the test suite with `make test`. When issuing a pull request, please exclude "sifter.js" and "sifter.min.js" in the project root. ## License Copyright © 2013–2015 [Brian Reavis](http://twitter.com/brianreavis) & [Contributors](https://github.com/brianreavis/sifter.js/graphs/contributors) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.	6.05 KB	2026-03-19 10:51
📄 bower.json { "name": "sifter", "keywords": ["search","filter","sift","data","results","match","sort","autocomplete"], "description": "A library for textually searching arrays and hashes of objects by property (or multiple properties). Designed specifically for autocomplete.", "version": "0.4.5", "license": "Apache License, Version 2.0", "readmeFilename": "README.md", "repository": { "type": "git", "url": "git://github.com/brianreavis/sifter.js.git" }, "main": ["sifter.js"], "ignore": [ "Makefile", "test", "lib", "bin", "benchmark", "node_modules", ".travis.yml" ], "dependencies": {} }	611 B	2026-03-19 10:51
📄 package.json { "name": "sifter", "keywords": [ "search", "filter", "sift", "data", "results", "match", "sort", "autocomplete" ], "description": "A library for textually searching arrays and hashes of objects by property (or multiple properties). Designed specifically for autocomplete.", "version": "0.4.5", "license": "Apache-2.0", "author": "Brian Reavis <brian@thirdroute.com>", "main": "./sifter.js", "repository": { "type": "git", "url": "git://github.com/brianreavis/sifter.js.git" }, "scripts": { "test": "mocha -R list" }, "bin": { "sifter": "./bin/sifter.js" }, "dependencies": { "optimist": "0.6.x", "cardinal": "0.4.x", "async": "0.2.x", "humanize": "0.0.x", "node-csv": "https://github.com/voodootikigod/node-csv/tarball/master" }, "devDependencies": { "mocha": "1.12.x", "mocha-istanbul": "0.2.x", "mocha-lcov-reporter": "0.0.x", "coveralls": "2.3.x", "uglify-js": "2.4.x", "istanbul": "0.1.x" }, "optionalDependencies": { "microtime": "2.0.x" }, "engines": { "node": "*" } }	1.09 KB	2026-03-19 10:51
📄 sifter.js /** * sifter.js * Copyright (c) 2013 Brian Reavis & contributors * * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this * file except in compliance with the License. You may obtain a copy of the License at: * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software distributed under * the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF * ANY KIND, either express or implied. See the License for the specific language * governing permissions and limitations under the License. * * @author Brian Reavis <brian@thirdroute.com> / (function(root, factory) { if (typeof define === 'function' && define.amd) { define(factory); } else if (typeof exports === 'object') { module.exports = factory(); } else { root.Sifter = factory(); } }(this, function() { /* * Textually searches arrays and hashes of objects * by property (or multiple properties). Designed * specifically for autocomplete. * * @constructor * @param {array\|object} items * @param {object} items / var Sifter = function(items, settings) { this.items = items; this.settings = settings \|\| {diacritics: true}; }; /* * Splits a search string into an array of individual * regexps to be used to match results. * * @param {string} query * @returns {array} / Sifter.prototype.tokenize = function(query) { query = trim(String(query \|\| '').toLowerCase()); if (!query \|\| !query.length) return []; var i, n, regex, letter; var tokens = []; var words = query.split(/ +/); for (i = 0, n = words.length; i < n; i++) { regex = escape_regex(words[i]); if (this.settings.diacritics) { for (letter in DIACRITICS) { if (DIACRITICS.hasOwnProperty(letter)) { regex = regex.replace(new RegExp(letter, 'g'), DIACRITICS[letter]); } } } tokens.push({ string : words[i], regex : new RegExp(regex, 'i') }); } return tokens; }; /* * Iterates over arrays and hashes. * * ``` * this.iterator(this.items, function(item, id) { * // invoked for each item * }); * ``` * * @param {array\|object} object / Sifter.prototype.iterator = function(object, callback) { var iterator; if (is_array(object)) { iterator = Array.prototype.forEach \|\| function(callback) { for (var i = 0, n = this.length; i < n; i++) { callback(this[i], i, this); } }; } else { iterator = function(callback) { for (var key in this) { if (this.hasOwnProperty(key)) { callback(this[key], key, this); } } }; } iterator.apply(object, [callback]); }; /* * Returns a function to be used to score individual results. * * Good matches will have a higher score than poor matches. * If an item is not a match, 0 will be returned by the function. * * @param {object\|string} search * @param {object} options (optional) * @returns {function} / Sifter.prototype.getScoreFunction = function(search, options) { var self, fields, tokens, token_count; self = this; search = self.prepareSearch(search, options); tokens = search.tokens; fields = search.options.fields; token_count = tokens.length; /* * Calculates how close of a match the * given value is against a search token. * * @param {mixed} value * @param {object} token * @return {number} / var scoreValue = function(value, token) { var score, pos; if (!value) return 0; value = String(value \|\| ''); pos = value.search(token.regex); if (pos === -1) return 0; score = token.string.length / value.length; if (pos === 0) score += 0.5; return score; }; /* * Calculates the score of an object * against the search query. * * @param {object} token * @param {object} data * @return {number} / var scoreObject = (function() { var field_count = fields.length; if (!field_count) { return function() { return 0; }; } if (field_count === 1) { return function(token, data) { return scoreValue(data[fields[0]], token); }; } return function(token, data) { for (var i = 0, sum = 0; i < field_count; i++) { sum += scoreValue(data[fields[i]], token); } return sum / field_count; }; })(); if (!token_count) { return function() { return 0; }; } if (token_count === 1) { return function(data) { return scoreObject(tokens[0], data); }; } if (search.options.conjunction === 'and') { return function(data) { var score; for (var i = 0, sum = 0; i < token_count; i++) { score = scoreObject(tokens[i], data); if (score <= 0) return 0; sum += score; } return sum / token_count; }; } else { return function(data) { for (var i = 0, sum = 0; i < token_count; i++) { sum += scoreObject(tokens[i], data); } return sum / token_count; }; } }; /* * Returns a function that can be used to compare two * results, for sorting purposes. If no sorting should * be performed, `null` will be returned. * * @param {string\|object} search * @param {object} options * @return function(a,b) / Sifter.prototype.getSortFunction = function(search, options) { var i, n, self, field, fields, fields_count, multiplier, multipliers, get_field, implicit_score, sort; self = this; search = self.prepareSearch(search, options); sort = (!search.query && options.sort_empty) \|\| options.sort; /* * Fetches the specified sort field value * from a search result item. * * @param {string} name * @param {object} result * @return {mixed} / get_field = function(name, result) { if (name === '$score') return result.score; return self.items[result.id][name]; }; // parse options fields = []; if (sort) { for (i = 0, n = sort.length; i < n; i++) { if (search.query \|\| sort[i].field !== '$score') { fields.push(sort[i]); } } } // the "$score" field is implied to be the primary // sort field, unless it's manually specified if (search.query) { implicit_score = true; for (i = 0, n = fields.length; i < n; i++) { if (fields[i].field === '$score') { implicit_score = false; break; } } if (implicit_score) { fields.unshift({field: '$score', direction: 'desc'}); } } else { for (i = 0, n = fields.length; i < n; i++) { if (fields[i].field === '$score') { fields.splice(i, 1); break; } } } multipliers = []; for (i = 0, n = fields.length; i < n; i++) { multipliers.push(fields[i].direction === 'desc' ? -1 : 1); } // build function fields_count = fields.length; if (!fields_count) { return null; } else if (fields_count === 1) { field = fields[0].field; multiplier = multipliers[0]; return function(a, b) { return multiplier cmp( get_field(field, a), get_field(field, b) ); }; } else { return function(a, b) { var i, result, a_value, b_value, field; for (i = 0; i < fields_count; i++) { field = fields[i].field; result = multipliers[i] * cmp( get_field(field, a), get_field(field, b) ); if (result) return result; } return 0; }; } }; /** * Parses a search query and returns an object * with tokens and fields ready to be populated * with results. * * @param {string} query * @param {object} options * @returns {object} / Sifter.prototype.prepareSearch = function(query, options) { if (typeof query === 'object') return query; options = extend({}, options); var option_fields = options.fields; var option_sort = options.sort; var option_sort_empty = options.sort_empty; if (option_fields && !is_array(option_fields)) options.fields = [option_fields]; if (option_sort && !is_array(option_sort)) options.sort = [option_sort]; if (option_sort_empty && !is_array(option_sort_empty)) options.sort_empty = [option_sort_empty]; return { options : options, query : String(query \|\| '').toLowerCase(), tokens : this.tokenize(query), total : 0, items : [] }; }; /* * Searches through all items and returns a sorted array of matches. * * The `options` parameter can contain: * * - fields {string\|array} * - sort {array} * - score {function} * - filter {bool} * - limit {integer} * * Returns an object containing: * * - options {object} * - query {string} * - tokens {array} * - total {int} * - items {array} * * @param {string} query * @param {object} options * @returns {object} / Sifter.prototype.search = function(query, options) { var self = this, value, score, search, calculateScore; var fn_sort; var fn_score; search = this.prepareSearch(query, options); options = search.options; query = search.query; // generate result scoring function fn_score = options.score \|\| self.getScoreFunction(search); // perform search and sort if (query.length) { self.iterator(self.items, function(item, id) { score = fn_score(item); if (options.filter === false \|\| score > 0) { search.items.push({'score': score, 'id': id}); } }); } else { self.iterator(self.items, function(item, id) { search.items.push({'score': 1, 'id': id}); }); } fn_sort = self.getSortFunction(search, options); if (fn_sort) search.items.sort(fn_sort); // apply limits search.total = search.items.length; if (typeof options.limit === 'number') { search.items = search.items.slice(0, options.limit); } return search; }; // utilities // - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - var cmp = function(a, b) { if (typeof a === 'number' && typeof b === 'number') { return a > b ? 1 : (a < b ? -1 : 0); } a = asciifold(String(a \|\| '')); b = asciifold(String(b \|\| '')); if (a > b) return 1; if (b > a) return -1; return 0; }; var extend = function(a, b) { var i, n, k, object; for (i = 1, n = arguments.length; i < n; i++) { object = arguments[i]; if (!object) continue; for (k in object) { if (object.hasOwnProperty(k)) { a[k] = object[k]; } } } return a; }; var trim = function(str) { return (str + '').replace(/^\s+\|\s+$\|/g, ''); }; var escape_regex = function(str) { return (str + '').replace(/([.?+^$[\]\\(){}\|-])/g, '\\$1'); }; var is_array = Array.isArray \|\| (typeof $ !== 'undefined' && $.isArray) \|\| function(object) { return Object.prototype.toString.call(object) === '[object Array]'; }; var DIACRITICS = { 'a': '[aÀÁÂÃÄÅàáâãäåĀāąĄ]', 'c': '[cÇçćĆčČ]', 'd': '[dđĐďĎð]', 'e': '[eÈÉÊËèéêëěĚĒēęĘ]', 'i': '[iÌÍÎÏìíîïĪī]', 'l': '[lłŁ]', 'n': '[nÑñňŇńŃ]', 'o': '[oÒÓÔÕÕÖØòóôõöøŌō]', 'r': '[rřŘ]', 's': '[sŠšśŚ]', 't': '[tťŤ]', 'u': '[uÙÚÛÜùúûüůŮŪū]', 'y': '[yŸÿýÝ]', 'z': '[zŽžżŻźŹ]' }; var asciifold = (function() { var i, n, k, chunk; var foreignletters = ''; var lookup = {}; for (k in DIACRITICS) { if (DIACRITICS.hasOwnProperty(k)) { chunk = DIACRITICS[k].substring(2, DIACRITICS[k].length - 1); foreignletters += chunk; for (i = 0, n = chunk.length; i < n; i++) { lookup[chunk.charAt(i)] = k; } } } var regexp = new RegExp('[' + foreignletters + ']', 'g'); return function(str) { return str.replace(regexp, function(foreignletter) { return lookup[foreignletter]; }).toLowerCase(); }; })(); // export // - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - return Sifter; }));	11.5 KB	2026-03-19 10:51
📄 sifter.min.js /! sifter.js \| https://github.com/brianreavis/sifter.js \| Apache License (v2) / (function(r,t){if(typeof define==="function"&&define.amd){define(t)}else if(typeof exports==="object"){module.exports=t()}else{r.Sifter=t()}})(this,function(){var r=function(r,t){this.items=r;this.settings=t\|\|{diacritics:true}};r.prototype.tokenize=function(r){r=n(String(r\|\|"").toLowerCase());if(!r\|\|!r.length)return[];var t,e,o,u;var s=[];var a=r.split(/ +/);for(t=0,e=a.length;t<e;t++){o=i(a[t]);if(this.settings.diacritics){for(u in f){if(f.hasOwnProperty(u)){o=o.replace(new RegExp(u,"g"),f[u])}}}s.push({string:a[t],regex:new RegExp(o,"i")})}return s};r.prototype.iterator=function(r,t){var e;if(o(r)){e=Array.prototype.forEach\|\|function(r){for(var t=0,e=this.length;t<e;t++){r(this[t],t,this)}}}else{e=function(r){for(var t in this){if(this.hasOwnProperty(t)){r(this[t],t,this)}}}}e.apply(r,[t])};r.prototype.getScoreFunction=function(r,t){var e,n,i,o;e=this;r=e.prepareSearch(r,t);i=r.tokens;n=r.options.fields;o=i.length;var f=function(r,t){var e,n;if(!r)return 0;r=String(r\|\|"");n=r.search(t.regex);if(n===-1)return 0;e=t.string.length/r.length;if(n===0)e+=.5;return e};var u=function(){var r=n.length;if(!r){return function(){return 0}}if(r===1){return function(r,t){return f(t[n[0]],r)}}return function(t,e){for(var i=0,o=0;i<r;i++){o+=f(e[n[i]],t)}return o/r}}();if(!o){return function(){return 0}}if(o===1){return function(r){return u(i[0],r)}}if(r.options.conjunction==="and"){return function(r){var t;for(var e=0,n=0;e<o;e++){t=u(i[e],r);if(t<=0)return 0;n+=t}return n/o}}else{return function(r){for(var t=0,e=0;t<o;t++){e+=u(i[t],r)}return e/o}}};r.prototype.getSortFunction=function(r,e){var n,i,o,f,u,s,a,c,p,l,h;o=this;r=o.prepareSearch(r,e);h=!r.query&&e.sort_empty\|\|e.sort;p=function(r,t){if(r==="$score")return t.score;return o.items[t.id][r]};u=[];if(h){for(n=0,i=h.length;n<i;n++){if(r.query\|\|h[n].field!=="$score"){u.push(h[n])}}}if(r.query){l=true;for(n=0,i=u.length;n<i;n++){if(u[n].field==="$score"){l=false;break}}if(l){u.unshift({field:"$score",direction:"desc"})}}else{for(n=0,i=u.length;n<i;n++){if(u[n].field==="$score"){u.splice(n,1);break}}}c=[];for(n=0,i=u.length;n<i;n++){c.push(u[n].direction==="desc"?-1:1)}s=u.length;if(!s){return null}else if(s===1){f=u[0].field;a=c[0];return function(r,e){return at(p(f,r),p(f,e))}}else{return function(r,e){var n,i,o,f,a;for(n=0;n<s;n++){a=u[n].field;i=c[n]t(p(a,r),p(a,e));if(i)return i}return 0}}};r.prototype.prepareSearch=function(r,t){if(typeof r==="object")return r;t=e({},t);var n=t.fields;var i=t.sort;var f=t.sort_empty;if(n&&!o(n))t.fields=[n];if(i&&!o(i))t.sort=[i];if(f&&!o(f))t.sort_empty=[f];return{options:t,query:String(r\|\|"").toLowerCase(),tokens:this.tokenize(r),total:0,items:[]}};r.prototype.search=function(r,t){var e=this,n,i,o,f;var u;var s;o=this.prepareSearch(r,t);t=o.options;r=o.query;s=t.score\|\|e.getScoreFunction(o);if(r.length){e.iterator(e.items,function(r,e){i=s(r);if(t.filter===false\|\|i>0){o.items.push({score:i,id:e})}})}else{e.iterator(e.items,function(r,t){o.items.push({score:1,id:t})})}u=e.getSortFunction(o,t);if(u)o.items.sort(u);o.total=o.items.length;if(typeof t.limit==="number"){o.items=o.items.slice(0,t.limit)}return o};var t=function(r,t){if(typeof r==="number"&&typeof t==="number"){return r>t?1:r<t?-1:0}r=u(String(r\|\|""));t=u(String(t\|\|""));if(r>t)return 1;if(t>r)return-1;return 0};var e=function(r,t){var e,n,i,o;for(e=1,n=arguments.length;e<n;e++){o=arguments[e];if(!o)continue;for(i in o){if(o.hasOwnProperty(i)){r[i]=o[i]}}}return r};var n=function(r){return(r+"").replace(/^\s+\|\s+$\|/g,"")};var i=function(r){return(r+"").replace(/([.?*+^$[\]\\(){}\|-])/g,"\\$1")};var o=Array.isArray\|\|typeof $!=="undefined"&&$.isArray\|\|function(r){return Object.prototype.toString.call(r)==="[object Array]"};var f={a:"[a\xc0\xc1\xc2\xc3\xc4\xc5\xe0\xe1\xe2\xe3\xe4\xe5\u0100\u0101\u0105\u0104]",c:"[c\xc7\xe7\u0107\u0106\u010d\u010c]",d:"[d\u0111\u0110\u010f\u010e\xf0]",e:"[e\xc8\xc9\xca\xcb\xe8\xe9\xea\xeb\u011b\u011a\u0112\u0113\u0119\u0118]",i:"[i\xcc\xcd\xce\xcf\xec\xed\xee\xef\u012a\u012b]",l:"[l\u0142\u0141]",n:"[n\xd1\xf1\u0148\u0147\u0144\u0143]",o:"[o\xd2\xd3\xd4\xd5\xd5\xd6\xd8\xf2\xf3\xf4\xf5\xf6\xf8\u014c\u014d]",r:"[r\u0159\u0158]",s:"[s\u0160\u0161\u015b\u015a]",t:"[t\u0165\u0164]",u:"[u\xd9\xda\xdb\xdc\xf9\xfa\xfb\xfc\u016f\u016e\u016a\u016b]",y:"[y\u0178\xff\xfd\xdd]",z:"[z\u017d\u017e\u017c\u017b\u017a\u0179]"};var u=function(){var r,t,e,n;var i="";var o={};for(e in f){if(f.hasOwnProperty(e)){n=f[e].substring(2,f[e].length-1);i+=n;for(r=0,t=n.length;r<t;r++){o[n.charAt(r)]=e}}}var u=new RegExp("["+i+"]","g");return function(r){return r.replace(u,function(r){return o[r]}).toLowerCase()}}();return r});	4.63 KB	2026-03-19 10:51

Terminal