core/src/main/java/org/apache/druid/math/expr/vector/DoubleOutLongInFunctionVectorProcessor.java

/*
 * 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.druid.math.expr.vector;

import org.apache.druid.math.expr.ExprType;

/**
 * specialized {@link UnivariateFunctionVectorProcessor} for processing (long[]) -> double[]
 */
public abstract class DoubleOutLongInFunctionVectorProcessor
    extends UnivariateFunctionVectorProcessor<long[], double[]>
{
  public DoubleOutLongInFunctionVectorProcessor(ExprVectorProcessor<long[]> processor, int maxVectorSize)
  {
    super(CastToTypeVectorProcessor.cast(processor, ExprType.LONG), maxVectorSize, new double[maxVectorSize]);
  }

  public abstract double apply(long input);

  @Override
  public ExprType getOutputType()
  {
    return ExprType.DOUBLE;
  }

  @Override
  final void processIndex(long[] input, int i)
  {
    outValues[i] = apply(input[i]);
  }

  @Override
  final ExprEvalVector<double[]> asEval()
  {
    return new ExprEvalDoubleVector(outValues, outNulls);
  }
}