ql/src/gen/vectorization/TestTemplates/TestColumnScalarOperationVectorExpressionCheckedEvaluation.txt

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  @Test
  public void <TestName>() throws HiveException {

    Random rand = new Random(SEED);

    <OutputColumnVectorType> outputColumnVector =
      VectorizedRowGroupGenUtil.generate<OutputColumnVectorType>(<InitOuputColHasNulls>,
      <InitOuputColIsRepeating>, BATCH_SIZE, rand);

    <InputColumnVectorType> inputColumnVector =
      VectorizedRowGroupGenUtil.generate<InputColumnVectorType>(<ColumnHasNulls>,
      <ColumnIsRepeating>, BATCH_SIZE, rand);

    VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
    rowBatch.cols[0] = inputColumnVector;
    rowBatch.cols[1] = outputColumnVector;

    <ScalarType> scalarValue = 0;
    do {
      scalarValue = rand.next<CamelCaseScalarType>();
    } while(scalarValue == 0);

    <VectorExpClassName> vectorExpression =
      new <VectorExpClassName>(<ConstructorParams>, 1);
    vectorExpression.setOutputTypeInfo(TypeInfoFactory.getPrimitiveTypeInfo("<OutputTypeInfo>"));

    vectorExpression.evaluate(rowBatch);

    assertEquals(
      "Output column vector is repeating state does not match operand column",
      inputColumnVector.isRepeating, outputColumnVector.isRepeating);

    /*
     We no longer set noNulls to the input ColumnVector's value since that doesn't work
     for scratch column reuse.
    assertEquals(
      "Output column vector no nulls state does not match operand column",
      inputColumnVector.noNulls, outputColumnVector.noNulls);
    */

    if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
      for(int i = 0; i < BATCH_SIZE; i++) {
        //null vectors are safe to check, as they are always initialized to match the data vector
        assertEquals("Output vector doesn't match input vector's is null state for index",
          inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
      }
    }
  }