aub_htp.random.DiscreteSampler

class aub_htp.random.DiscreteSampler(alpha: float, positions: ndarray, weights: ndarray)

Bases: BaseSpectralMeasureSampler

__init__(alpha: float, positions: ndarray, weights: ndarray)

Methods

__init__(alpha, positions, weights)
dimensions()	Number of dimensions of the vector space of the spectral measure.
mass()	Mass of the spectral measure.
sample(number_of_samples[, random_state])	Sampling algorithm for the spectral measure sampler.

dimensions() → int

Number of dimensions of the vector space of the spectral measure.

Returns

dimensions : int

mass() → float

Mass of the spectral measure.

Returns

mass : float

sample(number_of_samples: int, random_state: None | int | RandomState | Generator = None) → ndarray

Sampling algorithm for the spectral measure sampler.

Parameters

number_of_samplesint

The number of samples to draw from the spectral measure.

random_stateNone | int | np.random.RandomState | np.random.Generator, optional

The random state to use for the sampling. You are encouraged to use aub_htp.random.get_random_state_generator() to get a random state generator as such: random_state = get_random_state_generator(random_state)

Returns

samplesnp.ndarray

The samples from the spectral measure.