/*
- * Copyright 2014 Facebook, Inc.
+ * Copyright 2016 Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* limitations under the License.
*/
-#ifndef FOLLY_BASE_RANDOM_H_
-#define FOLLY_BASE_RANDOM_H_
+#pragma once
+#define FOLLY_RANDOM_H_
+#include <type_traits>
+#include <random>
#include <stdint.h>
-#include "folly/ThreadLocal.h"
+#include <folly/Portability.h>
-namespace folly {
-
-/*
- * Return a good seed for a random number generator.
- */
-uint32_t randomNumberSeed();
+#if FOLLY_HAVE_EXTRANDOM_SFMT19937
+#include <ext/random>
+#endif
-class Random;
+namespace folly {
/**
* A PRNG with one instance per thread. This PRNG uses a mersenne twister random
}
friend class Random;
- ThreadLocalPRNG() {
- local_ = localInstance.get();
- if (!local_) {
- local_ = initLocal();
- }
- }
+ ThreadLocalPRNG();
private:
class LocalInstancePRNG;
- static LocalInstancePRNG* initLocal();
- static folly::ThreadLocalPtr<ThreadLocalPRNG::LocalInstancePRNG>
- localInstance;
static result_type getImpl(LocalInstancePRNG* local);
LocalInstancePRNG* local_;
};
-
class Random {
private:
- template<class RNG>
+ template <class RNG>
using ValidRNG = typename std::enable_if<
- std::is_unsigned<typename std::result_of<RNG&()>::type>::value,
- RNG>::type;
+ std::is_unsigned<typename std::result_of<RNG&()>::type>::value,
+ RNG>::type;
public:
+ // Default generator type.
+#if FOLLY_HAVE_EXTRANDOM_SFMT19937
+ typedef __gnu_cxx::sfmt19937 DefaultGenerator;
+#else
+ typedef std::mt19937 DefaultGenerator;
+#endif
+
+ /**
+ * Get secure random bytes. (On Linux and OSX, this means /dev/urandom).
+ */
+ static void secureRandom(void* data, size_t len);
+
+ /**
+ * Shortcut to get a secure random value of integral type.
+ */
+ template <class T>
+ static typename std::enable_if<
+ std::is_integral<T>::value && !std::is_same<T,bool>::value,
+ T>::type
+ secureRandom() {
+ T val;
+ secureRandom(&val, sizeof(val));
+ return val;
+ }
+
+ /**
+ * (Re-)Seed an existing RNG with a good seed.
+ *
+ * Note that you should usually use ThreadLocalPRNG unless you need
+ * reproducibility (such as during a test), in which case you'd want
+ * to create a RNG with a good seed in production, and seed it yourself
+ * in test.
+ */
+ template <class RNG = DefaultGenerator, class /* EnableIf */ = ValidRNG<RNG>>
+ static void seed(RNG& rng);
+
+ /**
+ * Create a new RNG, seeded with a good seed.
+ *
+ * Note that you should usually use ThreadLocalPRNG unless you need
+ * reproducibility (such as during a test), in which case you'd want
+ * to create a RNG with a good seed in production, and seed it yourself
+ * in test.
+ */
+ template <class RNG = DefaultGenerator, class /* EnableIf */ = ValidRNG<RNG>>
+ static RNG create();
/**
* Returns a random uint32_t
*/
- template<class RNG = ThreadLocalPRNG>
- static uint32_t rand32(ValidRNG<RNG> rrng = RNG()) {
- uint32_t r = rrng.operator()();
+ static uint32_t rand32() {
+ ThreadLocalPRNG prng;
+ return rand32(prng);
+ }
+
+ /**
+ * Returns a random uint32_t given a specific RNG
+ */
+ template <class RNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static uint32_t rand32(RNG rng) {
+ uint32_t r = rng.operator()();
return r;
}
/**
* Returns a random uint32_t in [0, max). If max == 0, returns 0.
*/
- template<class RNG = ThreadLocalPRNG>
- static uint32_t rand32(uint32_t max, ValidRNG<RNG> rng = RNG()) {
+ static uint32_t rand32(uint32_t max) {
+ ThreadLocalPRNG prng;
+ return rand32(max, prng);
+ }
+
+ /**
+ * Returns a random uint32_t in [0, max) given a specific RNG.
+ * If max == 0, returns 0.
+ */
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static uint32_t rand32(uint32_t max, RNG rng = RNG()) {
if (max == 0) {
return 0;
}
/**
* Returns a random uint32_t in [min, max). If min == max, returns 0.
*/
- template<class RNG = ThreadLocalPRNG>
- static uint32_t rand32(uint32_t min,
- uint32_t max,
- ValidRNG<RNG> rng = RNG()) {
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static uint32_t rand32(uint32_t min, uint32_t max, RNG rng = RNG()) {
if (min == max) {
return 0;
}
/**
* Returns a random uint64_t
*/
- template<class RNG = ThreadLocalPRNG>
- static uint64_t rand64(ValidRNG<RNG> rng = RNG()) {
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static uint64_t rand64(RNG rng = RNG()) {
return ((uint64_t) rng() << 32) | rng();
}
/**
* Returns a random uint64_t in [0, max). If max == 0, returns 0.
*/
- template<class RNG = ThreadLocalPRNG>
- static uint64_t rand64(uint64_t max, ValidRNG<RNG> rng = RNG()) {
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static uint64_t rand64(uint64_t max, RNG rng = RNG()) {
if (max == 0) {
return 0;
}
/**
* Returns a random uint64_t in [min, max). If min == max, returns 0.
*/
- template<class RNG = ThreadLocalPRNG>
- static uint64_t rand64(uint64_t min,
- uint64_t max,
- ValidRNG<RNG> rng = RNG()) {
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static uint64_t rand64(uint64_t min, uint64_t max, RNG rng = RNG()) {
if (min == max) {
return 0;
}
/**
* Returns true 1/n of the time. If n == 0, always returns false
*/
- template<class RNG = ThreadLocalPRNG>
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
static bool oneIn(uint32_t n, ValidRNG<RNG> rng = RNG()) {
if (n == 0) {
return false;
/**
* Returns a double in [0, 1)
*/
- template<class RNG = ThreadLocalPRNG>
- static double randDouble01(ValidRNG<RNG> rng = RNG()) {
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static double randDouble01(RNG rng = RNG()) {
return std::generate_canonical<double, std::numeric_limits<double>::digits>
(rng);
}
/**
* Returns a double in [min, max), if min == max, returns 0.
*/
- template<class RNG = ThreadLocalPRNG>
- static double randDouble(double min, double max, ValidRNG<RNG> rng = RNG()) {
+ template <class RNG = ThreadLocalPRNG, class /* EnableIf */ = ValidRNG<RNG>>
+ static double randDouble(double min, double max, RNG rng = RNG()) {
if (std::fabs(max - min) < std::numeric_limits<double>::epsilon()) {
return 0;
}
};
+/*
+ * Return a good seed for a random number generator.
+ * Note that this is a legacy function, as it returns a 32-bit value, which
+ * is too small to be useful as a "real" RNG seed. Use the functions in class
+ * Random instead.
+ */
+inline uint32_t randomNumberSeed() {
+ return Random::rand32();
}
-#endif
+}
+
+#include <folly/Random-inl.h>
projects / folly.git / blobdiff