package ocaml-base-compiler
Install
Dune Dependency
Authors
Maintainers
Sources
sha256=c2d706432f93ba85bd3383fa451d74543c32a4e84a1afaf3e8ace18f7f097b43
doc/stdlib/Stdlib/Random/index.html
Module Stdlib.RandomSource
Pseudo-random number generators (PRNG).
Basic functions
Initialize the generator, using the argument as a seed. The same seed will always yield the same sequence of numbers.
Same as Random.init but takes more data as seed.
Initialize the generator with a random seed chosen in a system-dependent way. If /dev/urandom is available on the host machine, it is used to provide a highly random initial seed. Otherwise, a less random seed is computed from system parameters (current time, process IDs).
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 and less than 230.
Random.full_int bound returns a random integer between 0 (inclusive) and bound (exclusive). bound may be any positive integer.
If bound is less than 230, Random.full_int bound is equal to Random.int bound. If bound is greater than 230 (on 64-bit systems or non-standard environments, such as JavaScript), Random.full_int returns a value, where Random.int raises Invalid_argument.
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 and bound (inclusive). If bound is negative, the result is negative or zero. If bound is 0, the result is 0.
Random.bool () returns true or false with probability 0.5 each.
Random.bits32 () returns 32 random bits as an integer between Int32.min_int and Int32.max_int.
Random.bits64 () returns 64 random bits as an integer between Int64.min_int and Int64.max_int.
Random.nativebits () returns 32 or 64 random bits (depending on the bit width of the platform) as an integer between Nativeint.min_int and Nativeint.max_int.
Advanced functions
The functions from module State manipulate the current state of the random generator explicitly. This allows using one or several deterministic PRNGs, even in a multi-threaded program, without interference from other parts of the program.
Return the current state of the generator used by the basic functions.