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/*
* ******************************************************************************
* *
* *
* * 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.
* *
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* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
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* * 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
* *****************************************************************************
*/
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package org.deeplearning4j.datasets.iterator;
import org.deeplearning4j.BaseDL4JTest;
import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
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import org.junit.jupiter.api.Test;
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import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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/**
* @author Adam Gibson
*/
public class SamplingTest extends BaseDL4JTest {
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@Test
public void testSample() throws Exception {
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DataSetIterator iter = new MnistDataSetIterator(10, 10);
//batch size and total
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DataSetIterator sampling = new SamplingDataSetIterator(iter.next(), 10, 10);
assertEquals(10, sampling.next().numExamples());
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}
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}