/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * 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.
 */

package org.apache.spark.shuffle.comet;

import org.apache.spark.SparkConf;
import org.apache.spark.internal.config.package$;

public interface CometShuffleChecksumSupport {
  long[] EMPTY_CHECKSUM_VALUE = new long[0];

  default long[] createPartitionChecksums(int numPartitions, SparkConf conf) {
    if ((boolean) conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ENABLED())) {
      long[] checksum = new long[numPartitions];

      // Initialize checksums to Long.MIN_VALUE to indicate that they have not been computed.
      for (int i = 0; i < numPartitions; i++) {
        checksum[i] = Long.MIN_VALUE;
      }

      return checksum;
    } else {
      return EMPTY_CHECKSUM_VALUE;
    }
  }

  default String getChecksumAlgorithm(SparkConf conf) {
    if ((boolean) conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ENABLED())) {
      return conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ALGORITHM());
    } else {
      return null;
    }
  }
}
