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-rw-r--r--src/base/random.hh208
1 files changed, 39 insertions, 169 deletions
diff --git a/src/base/random.hh b/src/base/random.hh
index 34107c76f..cedbd6bd4 100644
--- a/src/base/random.hh
+++ b/src/base/random.hh
@@ -1,4 +1,16 @@
/*
+ * Copyright (c) 2014 ARM Limited
+ * All rights reserved
+ *
+ * The license below extends only to copyright in the software and shall
+ * not be construed as granting a license to any other intellectual
+ * property including but not limited to intellectual property relating
+ * to a hardware implementation of the functionality of the software
+ * licensed hereunder. You may use the software subject to the license
+ * terms below provided that you ensure that this notice is replicated
+ * unmodified and in its entirety in all distributions of the software,
+ * modified or unmodified, in source code or in binary form.
+ *
* Copyright (c) 2003-2005 The Regents of The University of Michigan
* All rights reserved.
*
@@ -27,20 +39,19 @@
*
* Authors: Nathan Binkert
* Ali Saidi
+ * Andreas Hansson
*/
/*
- * Mersenne Twister random number generator has a period of
- * 2^19937-1.
- *
- * The actual math is in its own file to keep the license clear.
+ * Mersenne twister random number generator.
*/
#ifndef __BASE_RANDOM_HH__
#define __BASE_RANDOM_HH__
-#include <ios>
+#include <random>
#include <string>
+#include <type_traits>
#include "base/types.hh"
@@ -48,192 +59,51 @@ class Checkpoint;
class Random
{
- protected:
- static const int N = 624;
- static const int M = 397;
- static const uint32_t MATRIX_A = (uint32_t)0x9908b0df;
- static const uint32_t UPPER_MASK = (uint32_t)0x80000000;
- static const uint32_t LOWER_MASK = (uint32_t)0x7fffffff;
-
- uint32_t mt[N];
- int mti;
-
- uint32_t genrand();
- uint32_t genrand(uint32_t max);
- uint64_t genrand(uint64_t max);
-
- void
- _random(int8_t &value)
- {
- value = genrand() & (int8_t)-1;
- }
-
- void
- _random(int16_t &value)
- {
- value = genrand() & (int16_t)-1;
- }
-
- void
- _random(int32_t &value)
- {
- value = (int32_t)genrand();
- }
-
- void
- _random(int64_t &value)
- {
- value = (int64_t)genrand() << 32 | (int64_t)genrand();
- }
-
- void
- _random(uint8_t &value)
- {
- value = genrand() & (uint8_t)-1;
- }
- void
- _random(uint16_t &value)
- {
- value = genrand() & (uint16_t)-1;
- }
-
- void
- _random(uint32_t &value)
- {
- value = genrand();
- }
+ private:
- void
- _random(uint64_t &value)
- {
- value = (uint64_t)genrand() << 32 | (uint64_t)genrand();
- }
-
- // [0,1]
- void
- _random(float &value)
- {
- // ieee floats have 23 bits of mantissa
- value = (genrand() >> 9) / 8388608.0;
- }
-
- // [0,1]
- void
- _random(double &value)
- {
- double number = genrand() * 2097152.0 + (genrand() >> 11);
- value = number / 9007199254740992.0;
- }
-
-
- // Range based versions of the random number generator
- int8_t
- _random(int8_t min, int8_t max)
- {
- uint32_t diff = max - min;
- return static_cast<int8_t>(min + genrand(diff));
- }
-
- int16_t
- _random(int16_t min, int16_t max)
- {
- uint32_t diff = max - min;
- return static_cast<int16_t>(min + genrand(diff));
- }
-
- int32_t
- _random(int32_t min, int32_t max)
- {
- uint32_t diff = max - min;
- return static_cast<int32_t>(min + genrand(diff));
- }
-
- int64_t
- _random(int64_t min, int64_t max)
- {
- uint64_t diff = max - min;
- return static_cast<int64_t>(min + genrand(diff));
- }
-
- uint8_t
- _random(uint8_t min, uint8_t max)
- {
- uint32_t diff = max - min;
- return static_cast<uint8_t>(min + genrand(diff));
- }
-
- uint16_t
- _random(uint16_t min, uint16_t max)
- {
- uint32_t diff = max - min;
- return static_cast<uint16_t>(min + genrand(diff));
- }
-
- uint32_t
- _random(uint32_t min, uint32_t max)
- {
- uint32_t diff = max - min;
- return static_cast<uint32_t>(min + genrand(diff));
- }
-
- uint64_t
- _random(uint64_t min, uint64_t max)
- {
- uint64_t diff = max - min;
- return static_cast<uint64_t>(min + genrand(diff));
- }
+ std::mt19937_64 gen;
public:
+
Random();
Random(uint32_t s);
- Random(uint32_t init_key[], int key_length);
~Random();
void init(uint32_t s);
- void init(uint32_t init_key[], int key_length);
+ /**
+ * Use the SFINAE idiom to choose an implementation based on
+ * whether the type is integral or floating point.
+ */
template <typename T>
- T
+ typename std::enable_if<std::is_integral<T>::value, T>::type
random()
{
- T value;
- _random(value);
- return value;
+ // [0, max_value] for integer types
+ std::uniform_int_distribution<T> dist;
+ return dist(gen);
}
template <typename T>
- T
- random(T min, T max)
- {
- return _random(min, max);
- }
-
- // [0,1]
- double
- gen_real1()
- {
- return genrand() / 4294967296.0;
- }
-
- // [0,1)
- double
- gen_real2()
+ typename std::enable_if<std::is_floating_point<T>::value, T>::type
+ random()
{
- return genrand() / 4294967295.0;
+ // [0, 1) for real types
+ std::uniform_real_distribution<T> dist;
+ return dist(gen);
}
- // (0,1)
- double
- gen_real3()
+ template <typename T>
+ typename std::enable_if<std::is_integral<T>::value, T>::type
+ random(T min, T max)
{
- return ((double)genrand() + 0.5) / 4294967296.0;
+ std::uniform_int_distribution<T> dist(min, max);
+ return dist(gen);
}
- public:
- void serialize(const std::string &base, std::ostream &os);
- void unserialize(const std::string &base, Checkpoint *cp,
- const std::string &section);
+ void serialize(std::ostream &os);
+ void unserialize(Checkpoint *cp, const std::string &section);
};
extern Random random_mt;