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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
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* KIND, either express or implied. See the License for the
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package org.apache.sysds.test.functions.transform;
import org.junit.Assert;
import org.junit.Test;
import org.apache.sysds.common.Types.ValueType;
import org.apache.sysds.runtime.DMLRuntimeException;
import org.apache.sysds.runtime.matrix.data.FrameBlock;
import org.apache.sysds.runtime.matrix.data.MatrixBlock;
import org.apache.sysds.runtime.transform.encode.Encoder;
import org.apache.sysds.runtime.transform.encode.EncoderFactory;
import org.apache.sysds.runtime.util.DataConverter;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestUtils;
public class TransformApplyEmptyRecodeMapTest extends AutomatedTestBase
{
private static final int rows = 7;
private static final int cols = 1;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
}
@Test
public void testTransformApplyEmptyRecodeMap() {
try {
//generate input data
FrameBlock data = DataConverter.convertToFrameBlock(
DataConverter.convertToMatrixBlock(getRandomMatrix(rows, cols, 1, 1, 1, 7)));
FrameBlock meta = new FrameBlock(new ValueType[]{ValueType.STRING}, new String[]{"C1"});
//execute transform apply
Encoder encoder = EncoderFactory.createEncoder(
"{ids:true, recode:[1]}", data.getColumnNames(), meta.getSchema(), meta);
MatrixBlock out = encoder.apply(data, new MatrixBlock(rows, cols, true));
//check outputs
Assert.assertEquals(rows, out.getNumRows());
Assert.assertEquals(cols, out.getNumColumns());
for(int i=0; i<rows; i++)
for(int j=0; j<cols; j++)
Assert.assertTrue(Double.isNaN(out.quickGetValue(i, j)));
}
catch (DMLRuntimeException e) {
throw new RuntimeException(e);
}
}
}