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TokenizerImportTest.java
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TokenizerImportTest.java
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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.deeplearning4j.nn.modelimport.keras.preprocessing.text;
import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException;
import org.junit.Test;
import org.nd4j.linalg.io.ClassPathResource;
import java.io.IOException;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
/**
* Import Keras Tokenizer
*
* @author Max Pumperla
*/
public class TokenizerImportTest {
ClassLoader classLoader = getClass().getClassLoader();
@Test
public void importTest() throws IOException, InvalidKerasConfigurationException {
String path = "modelimport/keras/preprocessing/tokenizer.json";
ClassPathResource configResource = new ClassPathResource(path, classLoader);
KerasTokenizer tokenizer = KerasTokenizer.fromJson(configResource.getFile().getAbsolutePath());
assertEquals(100, tokenizer.getNumWords().intValue());
assertTrue(tokenizer.isLower());
assertEquals(" ", tokenizer.getSplit());
assertFalse(tokenizer.isCharLevel());
assertEquals(0, tokenizer.getDocumentCount().intValue());
}
}