Pseudo-random number generators (PRNG).
Note that all of these "basic" functions mutate a global random state.
Initialize the generator, using the argument as a seed. The same seed will always yield the same sequence of numbers.
Initialize the generator with a more-or-less random seed chosen in a system-dependent
way. By default, self_init
is disallowed in inline tests, as it's often used for no
good reason and it just creates non deterministic failures for everyone. Passing
~allow_in_tests:true
removes this restriction in case you legitimately want
non-deterministic values, like in Filename.temp_dir
.
Return 30 random bits in a nonnegative integer.
Random.int bound
returns a random integer between 0 (inclusive) and bound
(exclusive). bound
must be greater than 0.
Random.int32 bound
returns a random integer between 0 (inclusive) and bound
(exclusive). bound
must be greater than 0.
Random.nativeint bound
returns a random integer between 0 (inclusive) and bound
(exclusive). bound
must be greater than 0.
Random.int64 bound
returns a random integer between 0 (inclusive) and bound
(exclusive). bound
must be greater than 0.
Random.float bound
returns a random floating-point number between 0 (inclusive) and
bound
(exclusive). If bound
is negative, the result is negative or zero. If
bound
is 0, the result is 0.
State
manipulate the current state
of the random generator explicitely.
This allows using one or several deterministic PRNGs,
even in a multi-threaded program, without interference from
other parts of the program.
OCaml's Random.get_state
makes a copy of the default state, which is almost
certainly not what you want. State.default
, which is the actual default state, is
probably what you want.
Set the state of the generator used by the basic functions.