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1 //===-- RandomNumberGenerator.cpp - Implement RNG class -------------------===//
2 //
3 //                     The LLVM Compiler Infrastructure
4 //
5 // This file is distributed under the University of Illinois Open Source
6 // License. See LICENSE.TXT for details.
7 //
8 //===----------------------------------------------------------------------===//
9 //
10 // This file implements random number generation (RNG).
11 // The current implementation is NOT cryptographically secure as it uses
12 // the C++11 <random> facilities.
13 //
14 //===----------------------------------------------------------------------===//
15 
16 #define DEBUG_TYPE "rng"
17 #include "llvm/Support/RandomNumberGenerator.h"
18 #include "llvm/Support/CommandLine.h"
19 #include "llvm/Support/Debug.h"
20 
21 using namespace llvm;
22 
23 // Tracking BUG: 19665
24 // http://llvm.org/bugs/show_bug.cgi?id=19665
25 //
26 // Do not change to cl::opt<uint64_t> since this silently breaks argument parsing.
27 static cl::opt<unsigned long long>
28 Seed("rng-seed", cl::value_desc("seed"),
29      cl::desc("Seed for the random number generator"), cl::init(0));
30 
RandomNumberGenerator(StringRef Salt)31 RandomNumberGenerator::RandomNumberGenerator(StringRef Salt) {
32   DEBUG(
33     if (Seed == 0)
34       errs() << "Warning! Using unseeded random number generator.\n"
35   );
36 
37   // Combine seed and salt using std::seed_seq.
38   // Entropy: Seed-low, Seed-high, Salt...
39   std::vector<uint32_t> Data;
40   Data.reserve(2 + Salt.size()/4 + 1);
41   Data.push_back(Seed);
42   Data.push_back(Seed >> 32);
43 
44   uint32_t Pack = 0;
45   for (size_t I = 0; I < Salt.size(); ++I) {
46     Pack <<= 8;
47     Pack += Salt[I];
48 
49     if (I%4 == 3)
50       Data.push_back(Pack);
51   }
52   Data.push_back(Pack);
53 
54   std::seed_seq SeedSeq(Data.begin(), Data.end());
55   Generator.seed(SeedSeq);
56 }
57 
next(uint64_t Max)58 uint64_t RandomNumberGenerator::next(uint64_t Max) {
59   std::uniform_int_distribution<uint64_t> distribution(0, Max - 1);
60   return distribution(Generator);
61 }
62