random – Random numbers.
Random numbers.
This module implements a pseudo-random number generator (PRNG).
This module implements a subset of the corresponding CPython module,
as described below. For more information, refer to the original
CPython documentation: random
.
Note
The following notation is used for intervals:
() are open interval brackets and do not include their endpoints. For example, (0, 1) means greater than 0 and less than 1. In set notation: (0, 1) = {x | 0 < x < 1}.
[] are closed interval brackets which include all their limit points. For example, [0, 1] means greater than or equal to 0 and less than or equal to 1. In set notation: [0, 1] = {x | 0 <= x <= 1}.
Note
The randrange()
, randint()
and choice()
functions are only
available if the MICROPY_PY_RANDOM_EXTRA_FUNCS
configuration option is
enabled.
Functions
|
Chooses and returns one item at random from sequence (tuple, list or |
|
Return an integer with n random bits (0 <= n <= 32). |
|
Return a random integer in the range [a, b]. |
|
Return a random floating point number in the range [0.0, 1.0). |
|
The first form returns a random integer from the range [0, stop). |
|
Initialise the random number generator module with the seed n which should |
|
Return a random floating point number N such that a <= N <= b for a <= b, |
Module Contents
- random.choice(sequence) Incomplete
Chooses and returns one item at random from sequence (tuple, list or any object that supports the subscript operation).
- random.randrange(start, stop, step: Any | None = None) int
The first form returns a random integer from the range [0, stop). The second form returns a random integer from the range [start, stop). The third form returns a random integer from the range [start, stop) in steps of step. For instance, calling
randrange(1, 10, 2)
will return odd numbers between 1 and 9 inclusive.
- random.seed(n=None) None
Initialise the random number generator module with the seed n which should be an integer. When no argument (or
None
) is passed in it will (if supported by the port) initialise the PRNG with a true random number (usually a hardware generated random number).The
None
case only works ifMICROPY_PY_RANDOM_SEED_INIT_FUNC
is enabled by the port, otherwise it raisesValueError
.