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1 // Copyright 2017 The Abseil Authors.
2 //
3 // Licensed under the Apache License, Version 2.0 (the "License");
4 // you may not use this file except in compliance with the License.
5 // You may obtain a copy of the License at
6 //
7 //      https://www.apache.org/licenses/LICENSE-2.0
8 //
9 // Unless required by applicable law or agreed to in writing, software
10 // distributed under the License is distributed on an "AS IS" BASIS,
11 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 // See the License for the specific language governing permissions and
13 // limitations under the License.
14 
15 #include <cinttypes>
16 #include <random>
17 #include <sstream>
18 #include <vector>
19 
20 #include "gtest/gtest.h"
21 #include "absl/random/random.h"
22 
23 template <typename T>
Use(T)24 void Use(T) {}
25 
TEST(Examples,Basic)26 TEST(Examples, Basic) {
27   absl::BitGen gen;
28   std::vector<int> objs = {10, 20, 30, 40, 50};
29 
30   // Choose an element from a set.
31   auto elem = objs[absl::Uniform(gen, 0u, objs.size())];
32   Use(elem);
33 
34   // Generate a uniform value between 1 and 6.
35   auto dice_roll = absl::Uniform<int>(absl::IntervalClosedClosed, gen, 1, 6);
36   Use(dice_roll);
37 
38   // Generate a random byte.
39   auto byte = absl::Uniform<uint8_t>(gen);
40   Use(byte);
41 
42   // Generate a fractional value from [0f, 1f).
43   auto fraction = absl::Uniform<float>(gen, 0, 1);
44   Use(fraction);
45 
46   // Toss a fair coin; 50/50 probability.
47   bool coin_toss = absl::Bernoulli(gen, 0.5);
48   Use(coin_toss);
49 
50   // Select a file size between 1k and 10MB, biased towards smaller file sizes.
51   auto file_size = absl::LogUniform<size_t>(gen, 1000, 10 * 1000 * 1000);
52   Use(file_size);
53 
54   // Randomize (shuffle) a collection.
55   std::shuffle(std::begin(objs), std::end(objs), gen);
56 }
57 
TEST(Examples,CreateingCorrelatedVariateSequences)58 TEST(Examples, CreateingCorrelatedVariateSequences) {
59   // Unexpected PRNG correlation is often a source of bugs,
60   // so when using absl::BitGen it must be an intentional choice.
61   // NOTE: All of these only exhibit process-level stability.
62 
63   // Create a correlated sequence from system entropy.
64   {
65     auto my_seed = absl::MakeSeedSeq();
66 
67     absl::BitGen gen_1(my_seed);
68     absl::BitGen gen_2(my_seed);  // Produces same variates as gen_1.
69 
70     EXPECT_EQ(absl::Bernoulli(gen_1, 0.5), absl::Bernoulli(gen_2, 0.5));
71     EXPECT_EQ(absl::Uniform<uint32_t>(gen_1), absl::Uniform<uint32_t>(gen_2));
72   }
73 
74   // Create a correlated sequence from an existing URBG.
75   {
76     absl::BitGen gen;
77 
78     auto my_seed = absl::CreateSeedSeqFrom(&gen);
79     absl::BitGen gen_1(my_seed);
80     absl::BitGen gen_2(my_seed);
81 
82     EXPECT_EQ(absl::Bernoulli(gen_1, 0.5), absl::Bernoulli(gen_2, 0.5));
83     EXPECT_EQ(absl::Uniform<uint32_t>(gen_1), absl::Uniform<uint32_t>(gen_2));
84   }
85 
86   // An alternate construction which uses user-supplied data
87   // instead of a random seed.
88   {
89     const char kData[] = "A simple seed string";
90     std::seed_seq my_seed(std::begin(kData), std::end(kData));
91 
92     absl::BitGen gen_1(my_seed);
93     absl::BitGen gen_2(my_seed);
94 
95     EXPECT_EQ(absl::Bernoulli(gen_1, 0.5), absl::Bernoulli(gen_2, 0.5));
96     EXPECT_EQ(absl::Uniform<uint32_t>(gen_1), absl::Uniform<uint32_t>(gen_2));
97   }
98 }
99 
100