content: /*
   * This file is a part of BSL Language Server.
   *
   * Copyright (c) 2018-2025
   * Alexey Sosnoviy <labotamy@gmail.com>, Nikita Fedkin <nixel2007@gmail.com> and contributors
   *
   * SPDX-License-Identifier: LGPL-3.0-or-later
   *
   * BSL Language Server is free software; you can redistribute it and/or
   * modify it under the terms of the GNU Lesser General Public
   * License as published by the Free Software Foundation; either
   * version 3.0 of the License, or (at your option) any later version.
   *
   * BSL Language Server is distributed in the hope that it will be useful,
   * but WITHOUT ANY WARRANTY; without even the implied warranty of
   * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
   * Lesser General Public License for more details.
   *
   * You should have received a copy of the GNU Lesser General Public
   * License along with BSL Language Server.
   */
  package com.github._1c_syntax.bsl.languageserver.recognizer;
  
  import java.util.Arrays;
  import java.util.List;
  import java.util.StringTokenizer;
  
  public class KeywordsDetector extends AbstractDetector {
  
    private final List<String> keywords;
  
    public KeywordsDetector(double probability, String... keywords) {
      super(probability);
      this.keywords = Arrays.asList(keywords);
    }
  
    @Override
    public int scan(String line) {
      int matchers = 0;
      StringTokenizer tokenizer = new StringTokenizer(line, " \t\n");
      while (tokenizer.hasMoreTokens()) {
        String word = tokenizer.nextToken();
        if (keywords.contains(word)) {
          matchers++;
        }
      }
      return matchers;
    }
  
  }
  