/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.
 *  *
 *  * SPDX-License-Identifier: Apache-2.0
 *  *****************************************************************************
 */

package org.eclipse.deeplearning4j.nd4j.linalg.dataset.api.preprocessor;

import org.junit.jupiter.api.Tag;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.MethodSource;

import org.nd4j.common.tests.tags.NativeTag;
import org.nd4j.common.tests.tags.TagNames;
import org.nd4j.linalg.BaseNd4jTestWithBackends;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy;
import org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats;
import org.nd4j.linalg.factory.Nd4j;

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

/**
 * @author Ede Meijer
 */
@Tag(TagNames.NDARRAY_ETL)
@NativeTag
public class MinMaxStrategyTest extends BaseNd4jTestWithBackends {

    @ParameterizedTest
    @MethodSource("org.nd4j.linalg.BaseNd4jTestWithBackends#configs")
    public void testRowVector() {
        MinMaxStrategy SUT = new MinMaxStrategy(0, 1);

        MinMaxStats stats = new MinMaxStats(Nd4j.create(new float[] {2, 3}), Nd4j.create(new float[] {4, 6}));

        INDArray input = Nd4j.create(new float[] {3, 3});
        INDArray inputCopy = input.dup();

        SUT.preProcess(input, null, stats);
        assertEquals(Nd4j.create(new float[] {0.5f, 0f}), input);

        SUT.revert(input, null, stats);
        assertEquals(inputCopy, input);
    }

    @Override
    public char ordering() {
        return 'c';
    }
}
