Revision e96e71becf44ca45a38fd0286ef39f78c9a4a777 authored by Ankit Gupta on 25 April 2014, 20:57:20 UTC, committed by Ankit Gupta on 25 April 2014, 20:57:20 UTC
1 parent 042221b
random.h
// Copyright (c) 2013, Facebook, Inc. All rights reserved.
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree. An additional grant
// of patent rights can be found in the PATENTS file in the same directory.
//
// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.
#pragma once
#include <random>
#include <stdint.h>
namespace rocksdb {
// A very simple random number generator. Not especially good at
// generating truly random bits, but good enough for our needs in this
// package.
class Random {
private:
uint32_t seed_;
public:
explicit Random(uint32_t s) : seed_(s & 0x7fffffffu) { }
uint32_t Next() {
static const uint32_t M = 2147483647L; // 2^31-1
static const uint64_t A = 16807; // bits 14, 8, 7, 5, 2, 1, 0
// We are computing
// seed_ = (seed_ * A) % M, where M = 2^31-1
//
// seed_ must not be zero or M, or else all subsequent computed values
// will be zero or M respectively. For all other values, seed_ will end
// up cycling through every number in [1,M-1]
uint64_t product = seed_ * A;
// Compute (product % M) using the fact that ((x << 31) % M) == x.
seed_ = static_cast<uint32_t>((product >> 31) + (product & M));
// The first reduction may overflow by 1 bit, so we may need to
// repeat. mod == M is not possible; using > allows the faster
// sign-bit-based test.
if (seed_ > M) {
seed_ -= M;
}
return seed_;
}
// Returns a uniformly distributed value in the range [0..n-1]
// REQUIRES: n > 0
uint32_t Uniform(int n) { return Next() % n; }
// Randomly returns true ~"1/n" of the time, and false otherwise.
// REQUIRES: n > 0
bool OneIn(int n) { return (Next() % n) == 0; }
// Skewed: pick "base" uniformly from range [0,max_log] and then
// return "base" random bits. The effect is to pick a number in the
// range [0,2^max_log-1] with exponential bias towards smaller numbers.
uint32_t Skewed(int max_log) {
return Uniform(1 << Uniform(max_log + 1));
}
};
// A simple 64bit random number generator based on std::mt19937_64
class Random64 {
private:
std::mt19937_64 generator_;
public:
explicit Random64(uint64_t s) : generator_(s) { }
// Generates the next random number
uint64_t Next() { return generator_(); }
// Returns a uniformly distributed value in the range [0..n-1]
// REQUIRES: n > 0
uint64_t Uniform(uint64_t n) {
return std::uniform_int_distribution<uint64_t>(0, n - 1)(generator_);
}
// Randomly returns true ~"1/n" of the time, and false otherwise.
// REQUIRES: n > 0
bool OneIn(uint64_t n) { return Uniform(n) == 0; }
// Skewed: pick "base" uniformly from range [0,max_log] and then
// return "base" random bits. The effect is to pick a number in the
// range [0,2^max_log-1] with exponential bias towards smaller numbers.
uint64_t Skewed(int max_log) {
return Uniform(1 << Uniform(max_log + 1));
}
};
} // namespace rocksdb
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