/*
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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.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.
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package org.deeplearning4j.spark.parameterserver.iterators;

import com.sun.jna.Platform;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;

import java.util.ArrayList;
import java.util.List;

import static org.junit.jupiter.api.Assertions.assertEquals;

public class VirtualIteratorTest {
    @BeforeEach
    public void setUp() throws Exception {
        //
    }

    @Test
    public void testIteration1() throws Exception {
        if(Platform.isWindows()) {
            //Spark tests don't run on windows
            return;
        }
        List<Integer> integers = new ArrayList<>();
        for (int i = 0; i < 100; i++) {
            integers.add(i);
        }

        VirtualIterator<Integer> virt = new VirtualIterator<>(integers.iterator());

        int cnt = 0;
        while (virt.hasNext()) {
            Integer n = virt.next();
            assertEquals(cnt, n.intValue());
            cnt++;
        }


        assertEquals(100, cnt);
    }
}
