/* * 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.learning.katas.commontransforms.aggregation.mean; import org.apache.beam.sdk.testing.PAssert; import org.apache.beam.sdk.testing.TestPipeline; import org.apache.beam.sdk.transforms.Create; import org.apache.beam.sdk.values.PCollection; import org.junit.Rule; import org.junit.Test; public class TaskTest { @Rule public final transient TestPipeline testPipeline = TestPipeline.create(); @Test public void mean() { Create.Values<Integer> values = Create.of(1, 2, 3, 4, 5, 6, 7, 8, 9, 10); PCollection<Integer> numbers = testPipeline.apply(values); PCollection<Double> results = Task.applyTransform(numbers); PAssert.that(results) .containsInAnyOrder(5.5); testPipeline.run().waitUntilFinish(); } }