View Source random (stdlib v6.1.2)
Pseudo-random number generation.
This module provides a random number generator. The method is attributed to B.A. Wichmann and I.D. Hill in 'An efficient and portable pseudo-random number generator', Journal of Applied Statistics. AS183. 1982. Also Byte March 1987.
The algorithm is a modification of the version attributed to Richard A. O'Keefe in the standard Prolog library.
Every time a random number is requested, a state is used to calculate it, and a
new state is produced. The state can either be implicit (kept in the process
dictionary) or be an explicit argument and return value. In this implementation,
the state (the type ran/0
) consists of a tuple of three integers.
Note
This random number generator is not cryptographically strong. If a strong cryptographic random number generator is needed, use one of functions in the
crypto
module, for example,crypto:strong_rand_bytes/1
.
Note
The improved
rand
module is to be used instead of this module.
Note
Some of the functions use the process dictionary variable random_seed
to
remember the current seed.
If a process calls uniform/0
or uniform/1
without setting a seed first,
seed/0
is called automatically.
The implementation changed in Erlang/OTP R15. Upgrading to R15 breaks
applications that expect a specific output for a specified seed. The output is
still deterministic number series, but different compared to releases older than
R15. Seed {0,0,0}
does, for example, no longer produce a flawed series of only
zeros.
Summary
Functions
Returns the default state.
Seeds random number generation with default (fixed) values in the process dictionary and returns the old state.
seed({A1, A2, A3})
is equivalent to
seed(A1, A2, A3)
.
Seeds random number generation with integer values in the process dictionary and returns the old state.
Returns a random float uniformly distributed between 0.0
and 1.0
, updating
the state in the process dictionary.
Returns, for a specified integer N >= 1
, a random integer uniformly
distributed between 1
and N
, updating the state in the process dictionary.
Returns, for a specified state, a random float uniformly distributed between
0.0
and 1.0
, and a new state.
Returns, for a specified integer N >= 1
and a state, a random integer
uniformly distributed between 1
and N
, and a new state.
Types
The state.
Functions
-spec seed0() -> ran().
Returns the default state.
-spec seed() -> ran().
Seeds random number generation with default (fixed) values in the process dictionary and returns the old state.
-spec seed(SValue) -> undefined | ran() when SValue :: {A1, A2, A3} | integer(), A1 :: integer(), A2 :: integer(), A3 :: integer().
seed({A1, A2, A3})
is equivalent to
seed(A1, A2, A3)
.
Seeds random number generation with integer values in the process dictionary and returns the old state.
The following is an easy way of obtaining a unique value to seed with:
random:seed(erlang:phash2([node()]),
erlang:monotonic_time(),
erlang:unique_integer())
For details, see erlang:phash2/1
, erlang:node/0
, erlang:monotonic_time/0
,
and erlang:unique_integer/0
.
-spec uniform() -> float().
Returns a random float uniformly distributed between 0.0
and 1.0
, updating
the state in the process dictionary.
-spec uniform(N) -> pos_integer() when N :: pos_integer().
Returns, for a specified integer N >= 1
, a random integer uniformly
distributed between 1
and N
, updating the state in the process dictionary.
Returns, for a specified state, a random float uniformly distributed between
0.0
and 1.0
, and a new state.
-spec uniform_s(N, State0) -> {integer(), State1} when N :: pos_integer(), State0 :: ran(), State1 :: ran().
Returns, for a specified integer N >= 1
and a state, a random integer
uniformly distributed between 1
and N
, and a new state.