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love.math.setRandomSeed / RandomGenerator:setSeed now hashes the seed value before using it, which gives a much better distribution when comparing the results of different but similar seeds.
Cleaned up RandomGenerator:setState/getState, now that love is using the C++11 standard library. --HG-- branch : minor
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@@ -21,11 +21,11 @@
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#include "RandomGenerator.h"
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// C++
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#include <cmath>
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#include <sstream>
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#include <iomanip>
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// C
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#include <cmath>
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#include <cstdlib>
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namespace love
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@@ -33,6 +33,20 @@ namespace love
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namespace math
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{
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// Thomas Wang's 64-bit integer hashing function:
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// https://web.archive.org/web/20110807030012/http://www.cris.com/%7ETtwang/tech/inthash.htm
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static uint64 wangHash64(uint64 key)
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{
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key = (~key) + (key << 21); // key = (key << 21) - key - 1;
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key = key ^ (key >> 24);
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key = (key + (key << 3)) + (key << 8); // key * 265
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key = key ^ (key >> 14);
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key = (key + (key << 2)) + (key << 4); // key * 21
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key = key ^ (key >> 28);
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key = key + (key << 31);
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return key;
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}
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// 64 bit Xorshift implementation taken from the end of Sec. 3 (page 4) in
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// George Marsaglia, "Xorshift RNGs", Journal of Statistical Software, Vol.8 (Issue 14), 2003
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@@ -75,17 +89,18 @@ double RandomGenerator::randomNormal(double stddev)
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void RandomGenerator::setSeed(RandomGenerator::Seed newseed)
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{
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// 0 xor 0 is still 0, so Xorshift can't generate new numbers.
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if (newseed.b64 == 0)
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throw love::Exception("Random seed cannot be 0.");
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seed = newseed;
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rng_state = seed;
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// Xorshift's first couple results after seeding will be similar to results
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// from very similar seeds, so we immediately discard them here.
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for (int i = 0; i < 2; i++)
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rand();
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// Xorshift isn't designed to give a good distribution of values across many
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// similar seeds, so we hash the state integer before using it.
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// http://www.reedbeta.com/blog/2013/01/12/quick-and-easy-gpu-random-numbers-in-d3d11/
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// Xorshift also can't handle a state value of 0, so we avoid that.
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do
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{
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newseed.b64 = wangHash64(newseed.b64);
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} while (newseed.b64 == 0);
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rng_state = newseed;
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}
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RandomGenerator::Seed RandomGenerator::getSeed() const
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@@ -98,32 +113,17 @@ void RandomGenerator::setState(const std::string &statestr)
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// For this implementation we'll accept a hex string representing the
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// 64-bit state integer xorshift uses.
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Seed state = {};
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// Hex string must start with 0x.
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if (statestr.find("0x") != 0 || statestr.size() < 3)
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throw love::Exception("Invalid random state.");
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throw love::Exception("Invalid random state: %s", statestr.c_str());
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// standardized strtoull (or 64 bit integer support for stringstream)
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// requires C++11's standard library, which we can't use yet.
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// I use strtol like this not because it's the best solution, but because
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// it's "good enough".
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Seed state = {};
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// Convert the hex string to the state integer character-by-character.
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for (size_t i = 2; i < statestr.size(); i++)
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{
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char hex[2] = {statestr[i], 0};
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char *end = nullptr;
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char *end = nullptr;
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state.b64 = strtoull(statestr.c_str(), &end, 16);
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// Convert the current hex character to a number.
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int nibble = strtol(hex, &end, 16);
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// Check if strtol failed to convert it.
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if (end != nullptr && *end != 0)
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throw love::Exception("Invalid random state.");
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state.b64 = (state.b64 << 4) + nibble;
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}
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if (end != nullptr && *end != 0)
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throw love::Exception("Invalid random state: %s", statestr.c_str());
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rng_state = state;
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}
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@@ -132,14 +132,8 @@ std::string RandomGenerator::getState() const
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{
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// For this implementation we'll return a hex string representing the 64-bit
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// state integer xorshift uses.
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std::stringstream ss;
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ss << "0x";
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// Again with the stringstream not dealing with 64 bit integers...
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ss << std::setfill('0') << std::setw(8) << std::hex << rng_state.b32.high;
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ss << std::setfill('0') << std::setw(8) << std::hex << rng_state.b32.low;
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ss << "0x" << std::setfill('0') << std::setw(16) << std::hex << rng_state.b64;
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return ss.str();
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}
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