node-nlp/lib/nlp/tokenizers/tokenizer.js

Library for NLU (Natural Language Understanding) done in Node.js

/*
 * Copyright (c) AXA Shared Services Spain S.A.
 *
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including
 * without limitation the rights to use, copy, modify, merge, publish,
 * distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to
 * the following conditions:
 *
 * The above copyright notice and this permission notice shall be
 * included in all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
 * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
 * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
 * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
 * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 */

/**
 * Base class for a tokenizer
 */
class Tokenizer {
  /**
   * Constructor of the class.
   * @param {Object} settings Settings for this instance.
   */
  constructor(settings) {
    this.settings = settings || {};
  }

  /**
   * Remove empty items at left at right of an array.
   * @param {string[]} arr Array to be trimmed.
   * @returns {string[]} Trimmed array.
   */
  trim(arr) {
    while (arr[arr.length - 1] === '') {
      arr.pop();
    }
    while (arr[0] === '') {
      arr.shift();
    }
    return arr;
  }
}

module.exports = Tokenizer;