sdks/java/core/src/test/java/org/apache/beam/sdk/transforms/SimpleStatsFnsTest.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.beam.sdk.transforms;

import static org.junit.Assert.assertEquals;

import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import org.joda.time.Instant;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;

/** Tests of Min, Max, Mean, and Sum. */
@RunWith(JUnit4.class)
public class SimpleStatsFnsTest {
  static final double DOUBLE_COMPARISON_ACCURACY = 1e-7;

  private static class TestCase<NumT extends Number & Comparable<NumT>> {
    final List<NumT> data;
    final NumT min;
    final NumT max;
    final NumT sum;
    final Double mean;

    @SafeVarargs
    @SuppressWarnings("all")
    public TestCase(NumT min, NumT max, NumT sum, NumT... values) {
      this.data = Arrays.asList(values);
      this.min = min;
      this.max = max;
      this.sum = sum;
      this.mean = values.length == 0 ? Double.NaN : sum.doubleValue() / values.length;
    }
  }

  static final List<TestCase<Double>> DOUBLE_CASES =
      Arrays.asList(
          new TestCase<>(
              -312.31, 6312.31, 11629.13, -312.31, 29.13, 112.158, 6312.31, -312.158, -312.158,
              112.158, -312.31, 6312.31, 0.0),
          new TestCase<>(3.14, 3.14, 3.14, 3.14),
          new TestCase<>(Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, 0.0));

  static final List<TestCase<Long>> LONG_CASES =
      Arrays.asList(
          new TestCase<>(
              -50000000000000000L,
              70000000000000000L,
              60000033123213121L,
              0L,
              1L,
              10000000000000000L,
              -50000000000000000L,
              70000000000000000L,
              0L,
              10000000000000000L,
              -1L,
              -50000000000000000L,
              70000000000000000L,
              33123213121L),
          new TestCase<>(3L, 3L, 3L, 3L),
          new TestCase<>(Long.MAX_VALUE, Long.MIN_VALUE, 0L));

  static final List<TestCase<Integer>> INTEGER_CASES =
      Arrays.asList(
          new TestCase<>(-3, 6, 22, 1, -3, 2, 6, 3, 4, -3, 5, 6, 1),
          new TestCase<>(3, 3, 3, 3),
          new TestCase<>(Integer.MAX_VALUE, Integer.MIN_VALUE, 0));

  @Test
  public void testInstantStats() {
    assertEquals(
        new Instant(1000),
        Min.<Instant>naturalOrder().apply(Arrays.asList(new Instant(1000), new Instant(2000))));
    assertEquals(null, Min.<Instant>naturalOrder().apply(Collections.emptyList()));
    assertEquals(
        new Instant(5000), Min.naturalOrder(new Instant(5000)).apply(Collections.emptyList()));

    assertEquals(
        new Instant(2000),
        Max.<Instant>naturalOrder().apply(Arrays.asList(new Instant(1000), new Instant(2000))));
    assertEquals(null, Max.<Instant>naturalOrder().apply(Collections.emptyList()));
    assertEquals(
        new Instant(5000), Max.naturalOrder(new Instant(5000)).apply(Collections.emptyList()));
  }

  @Test
  public void testDoubleStats() {
    for (TestCase<Double> t : DOUBLE_CASES) {
      assertEquals(t.sum, Sum.ofDoubles().apply(t.data), DOUBLE_COMPARISON_ACCURACY);
      assertEquals(t.min, Min.ofDoubles().apply(t.data), DOUBLE_COMPARISON_ACCURACY);
      assertEquals(t.max, Max.ofDoubles().apply(t.data), DOUBLE_COMPARISON_ACCURACY);
      assertEquals(t.mean, Mean.<Double>of().apply(t.data), DOUBLE_COMPARISON_ACCURACY);
    }
  }

  @Test
  public void testIntegerStats() {
    for (TestCase<Integer> t : INTEGER_CASES) {
      assertEquals(t.sum, Sum.ofIntegers().apply(t.data));
      assertEquals(t.min, Min.ofIntegers().apply(t.data));
      assertEquals(t.max, Max.ofIntegers().apply(t.data));
      assertEquals(t.mean, Mean.<Integer>of().apply(t.data));
    }
  }

  @Test
  public void testLongStats() {
    for (TestCase<Long> t : LONG_CASES) {
      assertEquals(t.sum, Sum.ofLongs().apply(t.data));
      assertEquals(t.min, Min.ofLongs().apply(t.data));
      assertEquals(t.max, Max.ofLongs().apply(t.data));
      assertEquals(t.mean, Mean.<Long>of().apply(t.data));
    }
  }
}