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package org.eclipse.deeplearning4j.dl4jcore.util;

import org.deeplearning4j.BaseDL4JTest;
import org.deeplearning4j.util.TimeSeriesUtils;
import org.junit.jupiter.api.Tag;
import org.junit.jupiter.api.Test;
import org.nd4j.common.tests.tags.NativeTag;
import org.nd4j.common.tests.tags.TagNames;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import static org.junit.jupiter.api.Assertions.assertEquals;
import org.junit.jupiter.api.DisplayName;

@DisplayName("Time Series Utils Test")
@NativeTag
@Tag(TagNames.FILE_IO)
class TimeSeriesUtilsTest extends BaseDL4JTest {

    @Test
    @DisplayName("Test Moving Average")
    void testMovingAverage() {
        INDArray a = Nd4j.arange(0, 20).castTo(DataType.DOUBLE);
        INDArray result = Nd4j.create(new double[] { 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 7.5f, 8.5f, 9.5f, 10.5f, 11.5f, 12.5f, 13.5f, 14.5f, 15.5f, 16.5f, 17.5f });
        INDArray movingAvg = TimeSeriesUtils.movingAverage(a, 4);
        assertEquals(result, movingAvg);
    }
}
