Random module¶

The random module contains basic functions to generate pseudorandom numbers. LSP uses the Mersenne Twister algorithm as its core generator. It has a long period of 2^19937 − 1.

Note

To use the features of this module, you have to put a special import statement at the begining of your LSP file: use random;

Module functions¶

Before using any of the functions below, you have to create a random instance with the create() function.

random.create()¶

random.create(seed)

Creates a new random generator with the given seed. The seed is optional. If seed is omitted, the current system time is used to initialize the generator.

Parameters: int (seed) – Seed to initialize the pseudorandom generator.
Return type: random

Types¶

type random¶

init()¶
init(seed): Re-initializes the random generator with the given seed or a new seed. The seed is optional. If seed is omitted, the current system time is used to initialize the generator.

next(b)¶

next(a, b)

Returns the next random integer N such that a <= N < b for a <= b and b < N <= a for b < a. The generated numbers are uniformly distributed between the open range induced by a and b.

Return type: int

nextUniform(min, max)¶

Returns the next floating point number N such that a <= N < b for a <= b and b < N <= a for b < a. The generated numbers are uniformly distributed between the open range induced by a and b.

This method generates floats with 52 bits of precision on the mantissa.

Return type: double

nextNormal()¶

nextNormal(mu, sigma)

Normal distribution.

Parameters

mu (double) – Mean of the normal distribution
sigma (double) – Standard deviation.

nextLogNormal()¶

nextLogNormal(mu, sigma)

Log normal distribution.

Parameters

mu (double) – Mean of the normal distribution
sigma (double) – Standard deviation. Must be greather than 0.