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authorBardur Arantsson <bardur@scientician.net>2016-09-17 09:58:14 +0200
committerBardur Arantsson <bardur@scientician.net>2016-09-17 09:58:14 +0200
commit6d11bb4a2d5bc8ab7c1491639f1083532b1b8fd1 (patch)
tree0a1ee125b7c5ef7ec37ff0781392989be4f75e26 /src/z-rand.cc
parent36969a9058806e71078efcb04a91cc263612d42e (diff)
Replace RNG with PCG random number generator
Diffstat (limited to 'src/z-rand.cc')
-rw-r--r--src/z-rand.cc294
1 files changed, 107 insertions, 187 deletions
diff --git a/src/z-rand.cc b/src/z-rand.cc
index e2960a55..0f507cb6 100644
--- a/src/z-rand.cc
+++ b/src/z-rand.cc
@@ -4,214 +4,113 @@
#include "z-rand.hpp"
-
-
-
-/*
- * Angband 2.7.9 introduced a new (optimized) random number generator,
- * based loosely on the old "random.c" from Berkeley but with some major
- * optimizations and algorithm changes. See below for more details.
- *
- * Code by myself (benh@phial.com) and Randy (randy@stat.tamu.edu).
- *
- * This code provides (1) a "decent" RNG, based on the "BSD-degree-63-RNG"
- * used in Angband 2.7.8, but rather optimized, and (2) a "simple" RNG,
- * based on the simple "LCRNG" currently used in Angband, but "corrected"
- * to give slightly better values. Both of these are available in two
- * flavors, first, the simple "mod" flavor, which is fast, but slightly
- * biased at high values, and second, the simple "div" flavor, which is
- * less fast (and potentially non-terminating) but which is not biased
- * and is much less subject to low-bit-non-randomness problems.
- *
- * You can select your favorite flavor by proper definition of the
- * "rand_int()" macro in the "defines.h" file.
- *
- * Note that, in Angband 2.8.0, the "state" table will be saved in the
- * savefile, so a special "initialization" phase will be necessary.
- *
- * Note the use of the "simple" RNG, first you activate it via
- * "Rand_quick = TRUE" and "Rand_value = seed" and then it is used
- * automatically used instead of the "complex" RNG, and when you are
- * done, you de-activate it via "Rand_quick = FALSE" or choose a new
- * seed via "Rand_value = seed".
- */
-
-
-/*
- * Random Number Generator -- Linear Congruent RNG
- */
-#define LCRNG(X) ((X) * 1103515245 + 12345)
-
-
-
-/*
- * Use the "simple" LCRNG
- */
-bool_ Rand_quick = TRUE;
-
-
-/*
- * Current "value" of the "simple" RNG
+#include <assert.h>
+#include <cstdint>
+#include <limits>
+#include <random>
+#include <sstream>
+
+#include "pcg_random.hpp"
+#include "seed.hpp"
+
+/**
+ * Choice of RNG; we use the "statistically most powerful" (per the
+ * documentation) RNG. The "insecure" bit just means that the RNG
+ * is definitely known to *not* be cryptographically secure.
*/
-u32b Rand_value;
+using rng_t = pcg64_once_insecure;
-
-/*
- * Current "index" for the "complex" RNG
- */
-u16b Rand_place;
-
-/*
- * Current "state" table for the "complex" RNG
+/**
+ * Reseed the given RNG.
*/
-u32b Rand_state[RAND_DEG];
-
-
+static void reseed_rng(rng_t *rng, seed_t const &seed)
+{
+ assert(rng != nullptr);
+ // Create a seed_seq from the seed data.
+ std::uint32_t data[seed_t::n_uint32];
+ std::seed_seq seed_seq(
+ std::begin(data),
+ std::end(data)
+ );
+ // Seed the RNG.
+ rng->seed(seed_seq);
+}
-/*
- * Initialize the "complex" RNG using a new seed
+/**
+ * Allocate a new RNG and initialize with the given seed.
*/
-void Rand_state_init(u32b seed)
+static rng_t *new_seeded_rng(seed_t const &seed)
{
- int i, j;
-
- /* Seed the table */
- Rand_state[0] = seed;
-
- /* Propagate the seed */
- for (i = 1; i < RAND_DEG; i++) Rand_state[i] = LCRNG(Rand_state[i - 1]);
-
- /* Cycle the table ten times per degree */
- for (i = 0; i < RAND_DEG * 10; i++)
- {
- /* Acquire the next index */
- j = Rand_place + 1;
- if (j == RAND_DEG) j = 0;
-
- /* Update the table, extract an entry */
- Rand_state[j] += Rand_state[Rand_place];
-
- /* Advance the index */
- Rand_place = j;
- }
+ rng_t *rng = new rng_t;
+ reseed_rng(rng, seed);
+ return rng;
}
-
-/*
- * Extract a "random" number from 0 to m-1, via "modulus"
- *
- * Note that "m" should probably be less than 500000, or the
- * results may be rather biased towards low values.
+/**
+ * The "quick" RNG is used for fixed-seed applications.
*/
-s32b Rand_mod(s32b m)
+static rng_t *quick_rng()
{
- int j;
- u32b r;
-
- /* Hack -- simple case */
- if (m <= 1) return (0);
-
- /* Use the "simple" RNG */
- if (Rand_quick)
- {
- /* Cycle the generator */
- r = (Rand_value = LCRNG(Rand_value));
-
- /* Mutate a 28-bit "random" number */
- r = (r >> 4) % m;
- }
-
- /* Use the "complex" RNG */
- else
- {
- /* Acquire the next index */
- j = Rand_place + 1;
- if (j == RAND_DEG) j = 0;
-
- /* Update the table, extract an entry */
- r = (Rand_state[j] += Rand_state[Rand_place]);
-
- /* Advance the index */
- Rand_place = j;
-
- /* Extract a "random" number */
- r = (r >> 4) % m;
- }
-
- /* Use the value */
- return (r);
+ // Note that the "quick_rng" will always be seeded explicitly
+ // whenever it's used, so we don't need to do any seeding here.
+ static rng_t *instance = new rng_t();
+ return instance;
}
-
-/*
- * Extract a "random" number from 0 to m-1, via "division"
- *
- * This method selects "random" 28-bit numbers, and then uses
- * division to drop those numbers into "m" different partitions,
- * plus a small non-partition to reduce bias, taking as the final
- * value the first "good" partition that a number falls into.
- *
- * This method has no bias, and is much less affected by patterns
- * in the "low" bits of the underlying RNG's.
+/**
+ * The "complex" RNG is used when we really want non-deterministic
+ * random numbers.
*/
-static s32b Rand_div(s32b m)
+static rng_t *complex_rng()
{
- u32b r, n;
+ static rng_t *instance = new_seeded_rng(seed_t::system());
+ return instance;
+}
- /* Hack -- simple case */
- if (m <= 1) return (0);
- /* Partition size */
- n = (0x10000000 / m);
+/**
+ * Current RNG.
+ */
+static rng_t *current_rng = nullptr;
- /* Use a simple RNG */
- if (Rand_quick)
+/**
+ * Get the current RNG.
+ */
+static rng_t *get_current_rng()
+{
+ // Do we need to initialize?
+ if (current_rng == nullptr)
{
- /* Wait for it */
- while (1)
- {
- /* Cycle the generator */
- r = (Rand_value = LCRNG(Rand_value));
-
- /* Mutate a 28-bit "random" number */
- r = ((r >> 4) & 0x0FFFFFFF) / n;
-
- /* Done */
- if (r < (u32b)m) break;
- }
+ // We start with the complex RNG.
+ current_rng = complex_rng();
}
- /* Use a complex RNG */
- else
- {
- /* Wait for it */
- while (1)
- {
- int j;
-
- /* Acquire the next index */
- j = Rand_place + 1;
- if (j == RAND_DEG) j = 0;
-
- /* Update the table, extract an entry */
- r = (Rand_state[j] += Rand_state[Rand_place]);
-
- /* Hack -- extract a 28-bit "random" number */
- r = ((r >> 4) & 0x0FFFFFFF) / n;
-
- /* Advance the index */
- Rand_place = j;
+ return current_rng;
+}
- /* Done */
- if (r < (u32b)m) break;
- }
- }
+void set_quick_rng(seed_t const &seed)
+{
+ reseed_rng(quick_rng(), seed);
+ current_rng = quick_rng();
+}
- /* Use the value */
- return (r);
+void set_complex_rng()
+{
+ current_rng = complex_rng();
}
+std::string get_complex_rng_state()
+{
+ std::stringstream s;
+ s << *complex_rng();
+ return s.str();
+}
+void set_complex_rng_state(std::string const &state)
+{
+ std::stringstream s(state);
+ s >> *complex_rng();
+}
/*
@@ -357,20 +256,41 @@ bool magik(s32b p) {
s32b rand_int(s32b m)
{
- return Rand_div(m);
+ /* Degenerate case */
+ if (m < 1)
+ {
+ return 0;
+ }
+ /* Normal case */
+ std::uniform_int_distribution<s32b> distribution(0, m - 1);
+ return distribution(*get_current_rng());
}
s32b randint(s32b m)
{
- return rand_int(m) + 1;
+ /* Degenerate case */
+ if (m < 2)
+ {
+ return 1;
+ }
+ /* Normal case */
+ std::uniform_int_distribution<s32b> distribution(1, m);
+ return distribution(*get_current_rng());
}
s32b rand_range(s32b a, s32b b)
{
- return a + rand_int(1 + b - a);
+ /* Degenerate case */
+ if (b < a)
+ {
+ return a;
+ }
+ /* Normal case */
+ std::uniform_int_distribution<s32b> distribution(a, b);
+ return distribution(*get_current_rng());
}
s32b rand_spread(s32b a, s32b d)
{
- return a + rand_int(1 + d + d) - d;
+ return rand_range(a-d, a+d);
}