blob: 718092aee81d69708f0c4496c4011ecd1c123d9d (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
|
// FastRandom.cpp
// Implements the cFastRandom class representing a fast random number generator
#include "Globals.h"
#include "FastRandom.h"
#include <random>
#if defined (__GNUC__)
#define ATTRIBUTE_TLS static __thread
#elif defined (_MSC_VER)
#define ATTRIBUTE_TLS static __declspec(thread)
#else
#error "Unknown thread local storage qualifier"
#endif
static unsigned int GetRandomSeed()
{
ATTRIBUTE_TLS bool SeedCounterInitialized = 0;
ATTRIBUTE_TLS unsigned int SeedCounter = 0;
if (!SeedCounterInitialized)
{
std::random_device rd;
std::uniform_int_distribution<unsigned int> dist;
SeedCounter = dist(rd);
SeedCounterInitialized = true;
}
return ++SeedCounter;
}
////////////////////////////////////////////////////////////////////////////////
// cFastRandom:
cFastRandom::cFastRandom(void) :
m_LinearRand(GetRandomSeed())
{
}
int cFastRandom::NextInt(int a_Range)
{
std::uniform_int_distribution<> distribution(0, a_Range - 1);
return distribution(m_LinearRand);
}
float cFastRandom::NextFloat(float a_Range)
{
std::uniform_real_distribution<float> distribution(0, a_Range);
return distribution(m_LinearRand);
}
int cFastRandom::GenerateRandomInteger(int a_Begin, int a_End)
{
std::uniform_int_distribution<> distribution(a_Begin, a_End);
return distribution(m_LinearRand);
}
////////////////////////////////////////////////////////////////////////////////
// MTRand:
MTRand::MTRand() :
m_MersenneRand(GetRandomSeed())
{
}
int MTRand::randInt(int a_Range)
{
std::uniform_int_distribution<> distribution(0, a_Range);
return distribution(m_MersenneRand);
}
int MTRand::randInt()
{
std::uniform_int_distribution<> distribution(0, std::numeric_limits<int>::max());
return distribution(m_MersenneRand);
}
double MTRand::rand(double a_Range)
{
std::uniform_real_distribution<> distribution(0, a_Range);
return distribution(m_MersenneRand);
}
|