/**
 * 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.hadoop.hive.ql.exec.vector.expressions.gen;

import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.<InputColumnVectorType>;
import org.apache.hadoop.hive.ql.exec.vector.<OutputColumnVectorType>;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.expressions.NullUtil;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;

/**
 * Generated from template ColumnArithmeticScalar.txt, which covers binary arithmetic
 * expressions between a column and a scalar.
 */
public class <ClassName> extends VectorExpression {

  private static final long serialVersionUID = 1L;

  private int colNum;
  private <OperandType2> value;
  private int outputColumn;

  public <ClassName>(int colNum, <OperandType2> value, int outputColumn) {
    this.colNum = colNum;
    this.value = value;
    this.outputColumn = outputColumn;
  }

  public <ClassName>() {
  }

  @Override
  public void evaluate(VectorizedRowBatch batch) {

    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }

    <InputColumnVectorType> inputColVector = (<InputColumnVectorType>) batch.cols[colNum];
    <OutputColumnVectorType> outputColVector = (<OutputColumnVectorType>) batch.cols[outputColumn];
    int[] sel = batch.selected;
    boolean[] inputIsNull = inputColVector.isNull;
    boolean[] outputIsNull = outputColVector.isNull;
    outputColVector.noNulls = inputColVector.noNulls;
    outputColVector.isRepeating = inputColVector.isRepeating;
    int n = batch.size;
    <OperandType1>[] vector = inputColVector.vector;
    <ReturnType>[] outputVector = outputColVector.vector;

    // return immediately if batch is empty
    if (n == 0) {
      return;
    }

    if (value == 0) {
      // Denominator is zero, convert the batch to nulls
      outputColVector.noNulls = false;
      outputColVector.isRepeating = true;
      outputIsNull[0] = true;
    } else if (inputColVector.isRepeating) {
      outputVector[0] = vector[0] <OperatorSymbol> value;

      // Even if there are no nulls, we always copy over entry 0. Simplifies code.
      outputIsNull[0] = inputIsNull[0];
    } else if (inputColVector.noNulls) {
      if (batch.selectedInUse) {
        for(int j = 0; j != n; j++) {
          int i = sel[j];
          outputVector[i] = vector[i] <OperatorSymbol> value;
        }
      } else {
        for(int i = 0; i != n; i++) {
          outputVector[i] = vector[i] <OperatorSymbol> value;
        }
      }
    } else /* there are nulls */ {
      if (batch.selectedInUse) {
        for(int j = 0; j != n; j++) {
          int i = sel[j];
          outputVector[i] = vector[i] <OperatorSymbol> value;
          outputIsNull[i] = inputIsNull[i];
        }
      } else {
        for(int i = 0; i != n; i++) {
          outputVector[i] = vector[i] <OperatorSymbol> value;
        }
        System.arraycopy(inputIsNull, 0, outputIsNull, 0, n);
      }
    }

    NullUtil.setNullOutputEntriesColScalar(outputColVector, batch.selectedInUse, sel, n);
  }

  @Override
  public int getOutputColumn() {
    return outputColumn;
  }

  @Override
  public String getOutputType() {
    return "<ReturnType>";
  }

  public int getColNum() {
    return colNum;
  }

  public void setColNum(int colNum) {
    this.colNum = colNum;
  }

  public <OperandType2> getValue() {
    return value;
  }

  public void setValue(<OperandType2> value) {
    this.value = value;
  }

  public void setOutputColumn(int outputColumn) {
    this.outputColumn = outputColumn;
  }

  @Override
  public String vectorExpressionParameters() {
    return "col " + colNum + ", val " + value;
  }

  @Override
  public VectorExpressionDescriptor.Descriptor getDescriptor() {
    return (new VectorExpressionDescriptor.Builder())
        .setMode(
            VectorExpressionDescriptor.Mode.PROJECTION)
        .setNumArguments(2)
        .setArgumentTypes(
            VectorExpressionDescriptor.ArgumentType.getType("<OperandType1>"),
            VectorExpressionDescriptor.ArgumentType.getType("<OperandType2>"))
        .setInputExpressionTypes(
            VectorExpressionDescriptor.InputExpressionType.COLUMN,
            VectorExpressionDescriptor.InputExpressionType.SCALAR).build();
  }
}
