/*
* 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.flink.api.java.summarize.aggregation;
import org.apache.flink.api.java.summarize.NumericColumnSummary;
import org.apache.flink.types.FloatValue;
import org.junit.Assert;
public class FloatValueSummaryAggregatorTest extends FloatSummaryAggregatorTest {
/**
* Helper method for summarizing a list of values.
*
* This method breaks the rule of "testing only one thing" by aggregating
* and combining a bunch of different ways.
*/
@Override
protected NumericColumnSummary<Float> summarize(Float... values) {
FloatValue[] floatValues = new FloatValue[values.length];
for(int i = 0; i < values.length; i++) {
if (values[i] != null) {
floatValues[i] = new FloatValue(values[i]);
}
}
return new AggregateCombineHarness<FloatValue,NumericColumnSummary<Float>,ValueSummaryAggregator.FloatValueSummaryAggregator>() {
@Override
protected void compareResults(NumericColumnSummary<Float> result1, NumericColumnSummary<Float> result2) {
Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0f);
Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0f);
Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-10d);
Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d);
Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-10d);
}
}.summarize(floatValues);
}
}