flink-java/src/test/java/org/apache/flink/api/java/summarize/aggregation/FloatValueSummaryAggregatorTest.java

/*
 * 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;

/**
 * Tests for {@link ValueSummaryAggregator.FloatValueSummaryAggregator}.
 */
public class FloatValueSummaryAggregatorTest extends FloatSummaryAggregatorTest {

	/**
	 * Helper method for summarizing a list of values.
	 *
	 * <p>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);
	}
}