/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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.
 */
package org.apache.opennlp.utils;

import org.apache.opennlp.utils.TrainingExample;
import org.apache.opennlp.utils.TrainingSet;
import org.junit.Ignore;

/**
 * Utility class for tests
 */
@Ignore
public class TestUtils {

  public static void fillTrainingSet(TrainingSet trainingSet, int size, int dimension) {
    for (int i = 0; i < size; i++) {
      double[] inputs = new double[dimension];
      for (int j = 0; j < dimension; j++) {
        inputs[j] = Math.random();
      }
      double out = Math.random();
      trainingSet.add(new TrainingExample(inputs, out));
    }
  }
}