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/*
* 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.ExpressionType;
/**
* specialized {@link BivariateLongFunctionVectorValueProcessor} for processing (long[], double[]) -> long[]
*/
public abstract class LongOutLongDoubleInFunctionVectorValueProcessor
extends BivariateLongFunctionVectorValueProcessor<long[], double[]>
{
public LongOutLongDoubleInFunctionVectorValueProcessor(
ExprVectorProcessor<long[]> left,
ExprVectorProcessor<double[]> right,
int maxVectorSize
)
{
super(
CastToTypeVectorProcessor.cast(left, ExpressionType.LONG),
CastToTypeVectorProcessor.cast(right, ExpressionType.DOUBLE),
maxVectorSize
);
}
public abstract long apply(long left, double right);
@Override
public ExpressionType getOutputType()
{
return ExpressionType.LONG;
}
@Override
final void processIndex(long[] leftInput, double[] rightInput, int i)
{
outValues[i] = apply(leftInput[i], rightInput[i]);
}
}