1 /* 2 * Copyright (c) 2013, 2017, Oracle and/or its affiliates. All rights reserved. 3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. 4 * 5 * This code is free software; you can redistribute it and/or modify it 6 * under the terms of the GNU General Public License version 2 only, as 7 * published by the Free Software Foundation. 8 * 9 * This code is distributed in the hope that it will be useful, but WITHOUT 10 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or 11 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License 12 * version 2 for more details (a copy is included in the LICENSE file that 13 * accompanied this code). 14 * 15 * You should have received a copy of the GNU General Public License version 16 * 2 along with this work; if not, write to the Free Software Foundation, 17 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. 18 * 19 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA 20 * or visit www.oracle.com if you need additional information or have any 21 * questions. 22 */ 23 package java.util.stream; 24 25 import java.util.Collections; 26 import java.util.EnumSet; 27 import java.util.PrimitiveIterator; 28 import java.util.Set; 29 import java.util.Spliterator; 30 import java.util.SpliteratorTestHelper; 31 import java.util.function.Consumer; 32 import java.util.function.DoubleConsumer; 33 import java.util.function.Function; 34 35 /** 36 * Test scenarios for double streams. 37 * 38 * Each scenario is provided with a data source, a function that maps a fresh 39 * stream (as provided by the data source) to a new stream, and a sink to 40 * receive results. Each scenario describes a different way of computing the 41 * stream contents. The test driver will ensure that all scenarios produce 42 * the same output (modulo allowable differences in ordering). 43 */ 44 @SuppressWarnings({"rawtypes", "unchecked"}) 45 public enum DoubleStreamTestScenario implements OpTestCase.BaseStreamTestScenario { 46 STREAM_FOR_EACH(false)47 STREAM_FOR_EACH(false) { 48 <T, S_IN extends BaseStream<T, S_IN>> 49 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 50 DoubleStream s = m.apply(source); 51 if (s.isParallel()) { 52 s = s.sequential(); 53 } 54 s.forEach(b); 55 } 56 }, 57 STREAM_TO_ARRAY(false)58 STREAM_TO_ARRAY(false) { 59 <T, S_IN extends BaseStream<T, S_IN>> 60 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 61 for (double t : m.apply(source).toArray()) { 62 b.accept(t); 63 } 64 } 65 }, 66 STREAM_ITERATOR(false)67 STREAM_ITERATOR(false) { 68 <T, S_IN extends BaseStream<T, S_IN>> 69 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 70 for (PrimitiveIterator.OfDouble seqIter = m.apply(source).iterator(); seqIter.hasNext(); ) 71 b.accept(seqIter.nextDouble()); 72 } 73 }, 74 75 // Wrap as stream, and spliterate then iterate in pull mode STREAM_SPLITERATOR(false)76 STREAM_SPLITERATOR(false) { 77 <T, S_IN extends BaseStream<T, S_IN>> 78 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 79 for (Spliterator.OfDouble spl = m.apply(source).spliterator(); spl.tryAdvance(b); ) { 80 } 81 } 82 }, 83 84 // Wrap as stream, spliterate, then split a few times mixing advances with forEach STREAM_SPLITERATOR_WITH_MIXED_TRAVERSE_AND_SPLIT(false)85 STREAM_SPLITERATOR_WITH_MIXED_TRAVERSE_AND_SPLIT(false) { 86 <T, S_IN extends BaseStream<T, S_IN>> 87 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 88 SpliteratorTestHelper.mixedTraverseAndSplit(b, m.apply(source).spliterator()); 89 } 90 }, 91 92 // Wrap as stream, and spliterate then iterate in pull mode STREAM_SPLITERATOR_FOREACH(false)93 STREAM_SPLITERATOR_FOREACH(false) { 94 <T, S_IN extends BaseStream<T, S_IN>> 95 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 96 m.apply(source).spliterator().forEachRemaining(b); 97 } 98 }, 99 PAR_STREAM_SEQUENTIAL_FOR_EACH(true)100 PAR_STREAM_SEQUENTIAL_FOR_EACH(true) { 101 <T, S_IN extends BaseStream<T, S_IN>> 102 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 103 m.apply(source).sequential().forEach(b); 104 } 105 }, 106 107 // Wrap as parallel stream + forEachOrdered PAR_STREAM_FOR_EACH_ORDERED(true)108 PAR_STREAM_FOR_EACH_ORDERED(true) { 109 <T, S_IN extends BaseStream<T, S_IN>> 110 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 111 // @@@ Want to explicitly select ordered equalator 112 m.apply(source).forEachOrdered(b); 113 } 114 }, 115 116 // Wrap as stream, and spliterate then iterate sequentially PAR_STREAM_SPLITERATOR(true)117 PAR_STREAM_SPLITERATOR(true) { 118 <T, S_IN extends BaseStream<T, S_IN>> 119 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 120 for (Spliterator.OfDouble spl = m.apply(source).spliterator(); spl.tryAdvance(b); ) { 121 } 122 } 123 }, 124 125 // Wrap as stream, and spliterate then iterate sequentially PAR_STREAM_SPLITERATOR_FOREACH(true)126 PAR_STREAM_SPLITERATOR_FOREACH(true) { 127 <T, S_IN extends BaseStream<T, S_IN>> 128 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 129 m.apply(source).spliterator().forEachRemaining(b); 130 } 131 }, 132 PAR_STREAM_TO_ARRAY(true)133 PAR_STREAM_TO_ARRAY(true) { 134 <T, S_IN extends BaseStream<T, S_IN>> 135 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 136 for (double t : m.apply(source).toArray()) 137 b.accept(t); 138 } 139 }, 140 141 // Wrap as parallel stream, get the spliterator, wrap as a stream + toArray PAR_STREAM_SPLITERATOR_STREAM_TO_ARRAY(true)142 PAR_STREAM_SPLITERATOR_STREAM_TO_ARRAY(true) { 143 <T, S_IN extends BaseStream<T, S_IN>> 144 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 145 DoubleStream s = m.apply(source); 146 Spliterator.OfDouble sp = s.spliterator(); 147 DoubleStream ss = StreamSupport.doubleStream(() -> sp, 148 StreamOpFlag.toCharacteristics(OpTestCase.getStreamFlags(s)) 149 | (sp.getExactSizeIfKnown() < 0 ? 0 : Spliterator.SIZED), true); 150 for (double t : ss.toArray()) 151 b.accept(t); 152 } 153 }, 154 PAR_STREAM_TO_ARRAY_CLEAR_SIZED(true)155 PAR_STREAM_TO_ARRAY_CLEAR_SIZED(true) { 156 <T, S_IN extends BaseStream<T, S_IN>> 157 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 158 S_IN pipe1 = (S_IN) OpTestCase.chain(source, 159 new FlagDeclaringOp(StreamOpFlag.NOT_SIZED, data.getShape())); 160 DoubleStream pipe2 = m.apply(pipe1); 161 162 for (double t : pipe2.toArray()) 163 b.accept(t); 164 } 165 }, 166 167 // Wrap as parallel stream + forEach synchronizing PAR_STREAM_FOR_EACH(true, false)168 PAR_STREAM_FOR_EACH(true, false) { 169 <T, S_IN extends BaseStream<T, S_IN>> 170 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 171 m.apply(source).forEach(e -> { 172 synchronized (data) { 173 b.accept(e); 174 } 175 }); 176 } 177 }, 178 179 // Wrap as parallel stream + forEach synchronizing and clear SIZED flag PAR_STREAM_FOR_EACH_CLEAR_SIZED(true, false)180 PAR_STREAM_FOR_EACH_CLEAR_SIZED(true, false) { 181 <T, S_IN extends BaseStream<T, S_IN>> 182 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m) { 183 S_IN pipe1 = (S_IN) OpTestCase.chain(source, 184 new FlagDeclaringOp(StreamOpFlag.NOT_SIZED, data.getShape())); 185 m.apply(pipe1).forEach(e -> { 186 synchronized (data) { 187 b.accept(e); 188 } 189 }); 190 } 191 }, 192 ; 193 194 // The set of scenarios that clean the SIZED flag 195 public static final Set<DoubleStreamTestScenario> CLEAR_SIZED_SCENARIOS = Collections.unmodifiableSet( 196 EnumSet.of(PAR_STREAM_TO_ARRAY_CLEAR_SIZED, PAR_STREAM_FOR_EACH_CLEAR_SIZED)); 197 198 private boolean isParallel; 199 200 private final boolean isOrdered; 201 DoubleStreamTestScenario(boolean isParallel)202 DoubleStreamTestScenario(boolean isParallel) { 203 this(isParallel, true); 204 } 205 DoubleStreamTestScenario(boolean isParallel, boolean isOrdered)206 DoubleStreamTestScenario(boolean isParallel, boolean isOrdered) { 207 this.isParallel = isParallel; 208 this.isOrdered = isOrdered; 209 } 210 getShape()211 public StreamShape getShape() { 212 return StreamShape.DOUBLE_VALUE; 213 } 214 isParallel()215 public boolean isParallel() { 216 return isParallel; 217 } 218 isOrdered()219 public boolean isOrdered() { 220 return isOrdered; 221 } 222 223 public <T, U, S_IN extends BaseStream<T, S_IN>, S_OUT extends BaseStream<U, S_OUT>> run(TestData<T, S_IN> data, Consumer<U> b, Function<S_IN, S_OUT> m)224 void run(TestData<T, S_IN> data, Consumer<U> b, Function<S_IN, S_OUT> m) { 225 try (S_IN source = getStream(data)) { 226 run(data, source, (DoubleConsumer) b, (Function<S_IN, DoubleStream>) m); 227 } 228 } 229 230 abstract <T, S_IN extends BaseStream<T, S_IN>> run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m)231 void run(TestData<T, S_IN> data, S_IN source, DoubleConsumer b, Function<S_IN, DoubleStream> m); 232 233 } 234