pyuutils.base.random

RandomGenerator

class pyuutils.base.random.RandomGenerator

A wrapper class for RandomGenerator to provide a more Pythonic interface.

__init__()

arcsine(minv: float, maxv: float) → float

Generate a random double following an arcsine distribution.

Parameters:

• minv (float) – Minimum value

• maxv (float) – Maximum value

Returns:

Random double

Return type:

float

beta(alpha: float, beta: float) → float

Generate a random double following a beta distribution.

Parameters:

• alpha (float) – Alpha parameter

• beta (float) – Beta parameter

Returns:

Random double

Return type:

float

exp(rate: float) → float

Generate a random double following an exponential distribution.

Parameters:

rate (float) – Rate parameter

Returns:

Random double

Return type:

float

gamma(shape: float, scale: float) → float

Generate a random double following a gamma distribution.

Parameters:

• shape (float) – Shape parameter

• scale (float) – Scale parameter

Returns:

Random double

Return type:

float

normal(mean: float, stddev: float) → float

Generate a random double following a normal distribution.

Parameters:

• mean (float) – Mean value

• stddev (float) – Standard deviation

Returns:

Random double

Return type:

float

poisson(mean: float) → float

Generate a random double following a Poisson distribution.

Parameters:

mean (float) – Mean value

Returns:

Random double

Return type:

float

seed(seed: int)

Set random seed for this generator instance.

Parameters:

seed (int) – Seed value

static set_seed(seed: int)

Set globally shared random seed.

Parameters:

seed (int) – Seed value

tri(lower: float, mode: float, upper: float) → float

Generate a random double following a triangular distribution.

Parameters:

• lower (float) – Lower bound

• mode (float) – Mode value

• upper (float) – Upper bound

Returns:

Random double

Return type:

float

uni(*args) → int

Generate a random integer based on provided arguments.

Parameters:

args – Arguments for the uniform distribution

Returns:

Random integer

Return type:

int

uni_1() → float

Generate a random double in the range [0, 1).

Returns:

Random double

Return type:

float

uni_r(*args) → float

Generate a random double based on provided arguments.

Parameters:

args – Arguments for the uniform distribution

Returns:

Random double

Return type:

float

weibull(shape: float, scale: float) → float

Generate a random double following a Weibull distribution.

Parameters:

• shape (float) – Shape parameter

• scale (float) – Scale parameter

Returns:

Random double

Return type:

float