/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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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 *  * SPDX-License-Identifier: Apache-2.0
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package org.eclipse.deeplearning4j.nd4j.linalg.shape.concat.padding;

import org.junit.jupiter.api.Tag;
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.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.factory.Nd4jBackend;

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

/**
 * @author Adam Gibson
 */
@NativeTag
@Tag(TagNames.NDARRAY_INDEXING)
public class PaddingTests extends BaseNd4jTestWithBackends {




    @ParameterizedTest
    @MethodSource("org.nd4j.linalg.BaseNd4jTestWithBackends#configs")
    public void testAppend(Nd4jBackend backend) {
        INDArray appendTo = Nd4j.ones(DataType.DOUBLE,3, 3);
        INDArray ret = Nd4j.append(appendTo, 3, 1, -1);
        assertArrayEquals(new long[] {3, 6}, ret.shape());

        INDArray linspace = Nd4j.linspace(1, 4, 4, DataType.DOUBLE).reshape(2, 2);
        INDArray otherAppend = Nd4j.append(linspace, 3, 1.0, -1);
        INDArray assertion = Nd4j.create(new double[][] {{1, 3, 1, 1, 1}, {2, 4, 1, 1, 1}});

        assertEquals(assertion, otherAppend);


    }

    @ParameterizedTest
    @MethodSource("org.nd4j.linalg.BaseNd4jTestWithBackends#configs")
    public void testPrepend(Nd4jBackend backend) {
        INDArray appendTo = Nd4j.ones(DataType.DOUBLE, 3, 3);
        INDArray ret = Nd4j.append(appendTo, 3, 1, -1);
        assertArrayEquals(new long[] {3, 6}, ret.shape());

        INDArray linspace = Nd4j.linspace(1, 4, 4, DataType.DOUBLE).reshape(2, 2);
        INDArray assertion = Nd4j.create(new double[][] {{1, 1, 1, 1, 3}, {1, 1, 1, 2, 4}});

        INDArray prepend = Nd4j.prepend(linspace, 3, 1.0, -1);
        assertEquals(assertion, prepend);

    }



    @ParameterizedTest
    @MethodSource("org.nd4j.linalg.BaseNd4jTestWithBackends#configs")
    public void testPad(Nd4jBackend backend) {

        INDArray start = Nd4j.linspace(1, 9, 9, DataType.DOUBLE).reshape(3, 3);
        INDArray ret = Nd4j.pad(start, 5, 5);
        double[][] data = new double[][] {{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.},
                {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.},
                {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.},
                {0, 0, 0, 0, 0, 1, 4, 7, 0, 0, 0, 0, 0.}, {0, 0, 0, 0, 0, 2, 5, 8, 0, 0, 0, 0, 0.},
                {0, 0, 0, 0, 0, 3, 6, 9, 0, 0, 0, 0, 0.}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.},
                {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.},
                {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.}};
        INDArray assertion = Nd4j.create(data);
        assertEquals(assertion, ret);


    }


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