/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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
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 */

package org.deeplearning4j.datasets.iterator;

import lombok.NonNull;
import org.nd4j.linalg.dataset.api.DataSet;
import org.nd4j.linalg.dataset.api.DataSetPreProcessor;

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

public class CombinedPreProcessor implements DataSetPreProcessor {
    private List<DataSetPreProcessor> preProcessors;

    private CombinedPreProcessor() {

    }

    /**
     * Pre process a dataset sequentially
     *
     * @param toPreProcess the data set to pre process
     */
    @Override
    public void preProcess(DataSet toPreProcess) {
        for (DataSetPreProcessor preProcessor : preProcessors) {
            preProcessor.preProcess(toPreProcess);
        }
    }

    public static class Builder {
        private List<DataSetPreProcessor> preProcessors = new ArrayList<>();

        public Builder() {

        }

        public Builder addPreProcessor(@NonNull DataSetPreProcessor preProcessor) {
            preProcessors.add(preProcessor);
            return this;
        }

        public Builder addPreProcessor(int idx, @NonNull DataSetPreProcessor preProcessor) {
            preProcessors.add(idx, preProcessor);
            return this;
        }


        public CombinedPreProcessor build() {
            CombinedPreProcessor preProcessor = new CombinedPreProcessor();
            preProcessor.preProcessors = this.preProcessors;
            return preProcessor;
        }
    }
}
