+#include <string.h>
+#include <sys/types.h>
+#include "grand.h"
+
+#include "genviron.h"
+#include "gmain.h"
+#include "gmem.h"
+#include "gtestutils.h"
+#include "gthread.h"
+
+#ifdef G_OS_UNIX
+#include <unistd.h>
+#endif
+
+#ifdef G_OS_WIN32
+#include <stdlib.h>
+#include <process.h> /* For getpid() */
+#endif
+
+/**
+ * SECTION:random_numbers
+ * @title: Random Numbers
+ * @short_description: pseudo-random number generator
+ *
+ * The following functions allow you to use a portable, fast and good
+ * pseudo-random number generator (PRNG).
+ *
+ * Do not use this API for cryptographic purposes such as key
+ * generation, nonces, salts or one-time pads.
+ *
+ * This PRNG is suitable for non-cryptographic use such as in games
+ * (shuffling a card deck, generating levels), generating data for
+ * a test suite, etc. If you need random data for cryptographic
+ * purposes, it is recommended to use platform-specific APIs such
+ * as `/dev/random` on UNIX, or CryptGenRandom() on Windows.
+ *
+ * GRand uses the Mersenne Twister PRNG, which was originally
+ * developed by Makoto Matsumoto and Takuji Nishimura. Further
+ * information can be found at
+ * [this page](http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html).
+ *
+ * If you just need a random number, you simply call the g_random_*
+ * functions, which will create a globally used #GRand and use the
+ * according g_rand_* functions internally. Whenever you need a
+ * stream of reproducible random numbers, you better create a
+ * #GRand yourself and use the g_rand_* functions directly, which
+ * will also be slightly faster. Initializing a #GRand with a
+ * certain seed will produce exactly the same series of random
+ * numbers on all platforms. This can thus be used as a seed for
+ * e.g. games.
+ *
+ * The g_rand*_range functions will return high quality equally
+ * distributed random numbers, whereas for example the
+ * `(g_random_int()%max)` approach often
+ * doesn't yield equally distributed numbers.
+ *
+ * GLib changed the seeding algorithm for the pseudo-random number
+ * generator Mersenne Twister, as used by #GRand. This was necessary,
+ * because some seeds would yield very bad pseudo-random streams.
+ * Also the pseudo-random integers generated by g_rand*_int_range()
+ * will have a slightly better equal distribution with the new
+ * version of GLib.
+ *
+ * The original seeding and generation algorithms, as found in
+ * GLib 2.0.x, can be used instead of the new ones by setting the
+ * environment variable `G_RANDOM_VERSION` to the value of '2.0'.
+ * Use the GLib-2.0 algorithms only if you have sequences of numbers
+ * generated with Glib-2.0 that you need to reproduce exactly.
+ */
+
+/**
+ * GRand:
+ *
+ * The GRand struct is an opaque data structure. It should only be
+ * accessed through the g_rand_* functions.
+ **/