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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 "AS IS" BASIS,
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   * See the License for the specific language governing permissions and
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  package org.apache.beam.sdk.extensions.euphoria.core.client.lib;
  
  import static org.junit.Assert.assertEquals;
  import static org.junit.Assert.assertFalse;
  import static org.junit.Assert.assertNotNull;
  import static org.junit.Assert.assertTrue;
  
  import org.apache.beam.sdk.extensions.euphoria.core.client.functional.UnaryPredicate;
  import org.apache.beam.sdk.extensions.euphoria.core.client.operator.Filter;
  import org.apache.beam.sdk.extensions.euphoria.core.client.operator.TestUtils;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.TypeDescriptors;
  import org.junit.Test;
  import org.junit.runner.RunWith;
  import org.junit.runners.JUnit4;
  
  /** Test suite for {@link Split} library. */
  @RunWith(JUnit4.class)
  @SuppressWarnings({
    "rawtypes" // TODO(https://github.com/apache/beam/issues/20447)
  })
  public class SplitTest {
  
    @Test
    public void testBuild() {
      final String opName = "split";
      final PCollection<String> dataset = TestUtils.createMockDataset(TypeDescriptors.strings());
  
      final Split.Output<String> split =
          Split.named(opName).of(dataset).using((UnaryPredicate<String>) what -> true).output();
  
      final Filter positive = (Filter) TestUtils.getProducer(split.positive());
      assertNotNull(positive.getPredicate());
      final Filter negative = (Filter) TestUtils.getProducer(split.negative());
      assertNotNull(negative.getPredicate());
    }
  
    @Test
    public void testBuild_ImplicitName() {
      final PCollection<String> dataset = TestUtils.createMockDataset(TypeDescriptors.strings());
      final Split.Output<String> split =
          Split.of(dataset).using((UnaryPredicate<String>) what -> true).output();
  
      final Filter positive = (Filter) TestUtils.getProducer(split.positive());
      assertTrue(positive.getName().isPresent());
      assertEquals(Split.DEFAULT_NAME + Split.POSITIVE_FILTER_SUFFIX, positive.getName().get());
      final Filter negative = (Filter) TestUtils.getProducer(split.negative());
      assertTrue(negative.getName().isPresent());
      assertEquals(Split.DEFAULT_NAME + Split.NEGATIVE_FILTER_SUFFIX, negative.getName().get());
    }
  
    @SuppressWarnings("unchecked")
    @Test
    public void testBuild_NegatedPredicate() {
      final PCollection<Integer> dataset = TestUtils.createMockDataset(TypeDescriptors.integers());
      final Split.Output<Integer> split =
          Split.of(dataset).using((UnaryPredicate<Integer>) what -> what % 2 == 0).output();
  
      final Filter<Integer> oddNumbers = (Filter) TestUtils.getProducer(split.negative());
      assertFalse(oddNumbers.getPredicate().apply(0));
      assertFalse(oddNumbers.getPredicate().apply(2));
      assertFalse(oddNumbers.getPredicate().apply(4));
      assertTrue(oddNumbers.getPredicate().apply(1));
      assertTrue(oddNumbers.getPredicate().apply(3));
      assertTrue(oddNumbers.getPredicate().apply(5));
    }
  }
  