1289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin/*
2289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * Copyright (c) 2013, 2015, Oracle and/or its affiliates. All rights reserved.
3289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
4289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin *
5289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * This code is free software; you can redistribute it and/or modify it
6289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * under the terms of the GNU General Public License version 2 only, as
7289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * published by the Free Software Foundation.
8289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin *
9289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * This code is distributed in the hope that it will be useful, but WITHOUT
10289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
11289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
12289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * version 2 for more details (a copy is included in the LICENSE file that
13289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * accompanied this code).
14289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin *
15289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * You should have received a copy of the GNU General Public License version
16289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * 2 along with this work; if not, write to the Free Software Foundation,
17289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
18289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin *
19289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
20289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * or visit www.oracle.com if you need additional information or have any
21289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * questions.
22289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin */
23289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinpackage org.openjdk.testlib.java.util.stream;
24289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
25289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.Collections;
26289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.EnumSet;
27289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.PrimitiveIterator;
28289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.Set;
29289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.Spliterator;
30289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.function.Consumer;
31289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.function.DoubleConsumer;
32289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.function.Function;
33289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
34289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport org.openjdk.testlib.java.util.stream.FlagDeclaringOp;
35289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
36289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinimport java.util.stream.*;
37289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
38289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin/**
39289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * Test scenarios for double streams.
40289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin *
41289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * Each scenario is provided with a data source, a function that maps a fresh
42289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * stream (as provided by the data source) to a new stream, and a sink to
43289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * receive results.  Each scenario describes a different way of computing the
44289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * stream contents.  The test driver will ensure that all scenarios produce
45289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin * the same output (modulo allowable differences in ordering).
46289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin */
47289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin@SuppressWarnings({"rawtypes", "unchecked"})
48289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkinpublic enum DoubleStreamTestScenario implements OpTestCase.BaseStreamTestScenario {
49289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
50289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    STREAM_FOR_EACH_WITH_CLOSE(false) {
51289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
52289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
53289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            DoubleStream s = m.apply(data.stream());
54289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            if (s.isParallel()) {
55289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                s = s.sequential();
56289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            }
57289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            s.forEach(b);
58289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            s.close();
59289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
60289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
61289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
62289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    STREAM_TO_ARRAY(false) {
63289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
64289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
65289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            for (double t : m.apply(data.stream()).toArray()) {
66289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                b.accept(t);
67289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            }
68289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
69289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
70289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
71289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    STREAM_ITERATOR(false) {
72289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
73289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
74289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            for (PrimitiveIterator.OfDouble seqIter = m.apply(data.stream()).iterator(); seqIter.hasNext(); )
75289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                b.accept(seqIter.nextDouble());
76289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
77289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
78289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
79289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as stream, and spliterate then iterate in pull mode
80289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    STREAM_SPLITERATOR(false) {
81289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
82289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
83289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            for (Spliterator.OfDouble spl = m.apply(data.stream()).spliterator(); spl.tryAdvance(b); ) {
84289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            }
85289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
86289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
87289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
88289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as stream, spliterate, then split a few times mixing advances with forEach
89289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    STREAM_SPLITERATOR_WITH_MIXED_TRAVERSE_AND_SPLIT(false) {
90289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
91289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
92289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            SpliteratorTestHelper.mixedTraverseAndSplit(b, m.apply(data.stream()).spliterator());
93289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
94289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
95289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
96289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as stream, and spliterate then iterate in pull mode
97289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    STREAM_SPLITERATOR_FOREACH(false) {
98289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
99289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
100289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            m.apply(data.stream()).spliterator().forEachRemaining(b);
101289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
102289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
103289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
104289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_SEQUENTIAL_FOR_EACH(true) {
105289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
106289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
107289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            m.apply(data.parallelStream()).sequential().forEach(b);
108289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
109289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
110289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
111289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as parallel stream + forEachOrdered
112289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_FOR_EACH_ORDERED(true) {
113289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
114289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
115289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            // @@@ Want to explicitly select ordered equalator
116289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            m.apply(data.parallelStream()).forEachOrdered(b);
117289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
118289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
119289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
120289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as stream, and spliterate then iterate sequentially
121289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_SPLITERATOR(true) {
122289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
123289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
124289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            for (Spliterator.OfDouble spl = m.apply(data.parallelStream()).spliterator(); spl.tryAdvance(b); ) {
125289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            }
126289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
127289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
128289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
129289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as stream, and spliterate then iterate sequentially
130289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_SPLITERATOR_FOREACH(true) {
131289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
132289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
133289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            m.apply(data.parallelStream()).spliterator().forEachRemaining(b);
134289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
135289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
136289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
137289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_TO_ARRAY(true) {
138289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
139289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
140289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            for (double t : m.apply(data.parallelStream()).toArray())
141289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                b.accept(t);
142289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
143289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
144289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
145289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as parallel stream, get the spliterator, wrap as a stream + toArray
146289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_SPLITERATOR_STREAM_TO_ARRAY(true) {
147289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
148289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
149289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            DoubleStream s = m.apply(data.parallelStream());
150289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            Spliterator.OfDouble sp = s.spliterator();
151289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            DoubleStream ss = StreamSupport.doubleStream(() -> sp,
152289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                                                         StreamOpFlag.toCharacteristics(OpTestCase.getStreamFlags(s))
153289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                                                         | (sp.getExactSizeIfKnown() < 0 ? 0 : Spliterator.SIZED), true);
154289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            for (double t : ss.toArray())
155289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                b.accept(t);
156289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
157289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
158289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
159289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_TO_ARRAY_CLEAR_SIZED(true) {
160289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
161289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
162289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            S_IN pipe1 = (S_IN) OpTestCase.chain(data.parallelStream(),
163289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                                                 new FlagDeclaringOp(StreamOpFlag.NOT_SIZED, data.getShape()));
164289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            DoubleStream pipe2 = m.apply(pipe1);
165289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
166289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            for (double t : pipe2.toArray())
167289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                b.accept(t);
168289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
169289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
170289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
171289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as parallel stream + forEach synchronizing
172289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_FOR_EACH(true, false) {
173289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
174289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
175289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            m.apply(data.parallelStream()).forEach(e -> {
176289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                synchronized (data) {
177289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                    b.accept(e);
178289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                }
179289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            });
180289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
181289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
182289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
183289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // Wrap as parallel stream + forEach synchronizing and clear SIZED flag
184289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    PAR_STREAM_FOR_EACH_CLEAR_SIZED(true, false) {
185289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        <T, S_IN extends BaseStream<T, S_IN>>
186289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m) {
187289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            S_IN pipe1 = (S_IN) OpTestCase.chain(data.parallelStream(),
188289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                                                 new FlagDeclaringOp(StreamOpFlag.NOT_SIZED, data.getShape()));
189289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            m.apply(pipe1).forEach(e -> {
190289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                synchronized (data) {
191289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                    b.accept(e);
192289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin                }
193289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            });
194289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        }
195289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    },
196289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    ;
197289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
198289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    // The set of scenarios that clean the SIZED flag
199289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    public static final Set<DoubleStreamTestScenario> CLEAR_SIZED_SCENARIOS = Collections.unmodifiableSet(
200289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin            EnumSet.of(PAR_STREAM_TO_ARRAY_CLEAR_SIZED, PAR_STREAM_FOR_EACH_CLEAR_SIZED));
201289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
202289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    private boolean isParallel;
203289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
204289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    private final boolean isOrdered;
205289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
206289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    DoubleStreamTestScenario(boolean isParallel) {
207289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        this(isParallel, true);
208289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    }
209289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
210289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    DoubleStreamTestScenario(boolean isParallel, boolean isOrdered) {
211289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        this.isParallel = isParallel;
212289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        this.isOrdered = isOrdered;
213289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    }
214289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
215289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    public StreamShape getShape() {
216289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        return StreamShape.DOUBLE_VALUE;
217289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    }
218289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
219289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    public boolean isParallel() {
220289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        return isParallel;
221289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    }
222289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
223289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    public boolean isOrdered() {
224289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        return isOrdered;
225289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    }
226289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
227289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    public <T, U, S_IN extends BaseStream<T, S_IN>, S_OUT extends BaseStream<U, S_OUT>>
228289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    void run(TestData<T, S_IN> data, Consumer<U> b, Function<S_IN, S_OUT> m) {
229289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin        _run(data, (DoubleConsumer) b, (Function<S_IN, DoubleStream>) m);
230289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    }
231289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
232289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    abstract <T, S_IN extends BaseStream<T, S_IN>>
233289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin    void _run(TestData<T, S_IN> data, DoubleConsumer b, Function<S_IN, DoubleStream> m);
234289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin
235289e51c2258b001f2aa6d6e67b21be7bb65d5102Igor Murashkin}
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