openmc.stats.Uniform

class openmc.stats.Uniform(a: float = 0.0, b: float = 1.0)

Distribution with constant probability over a finite interval [a,b]

Parameters:

• a (float, optional) – Lower bound of the sampling interval. Defaults to zero.

• b (float, optional) – Upper bound of the sampling interval. Defaults to unity.

Variables:

• a (float) – Lower bound of the sampling interval

• b (float) – Upper bound of the sampling interval

classmethod from_xml_element(elem: Element)

Generate uniform distribution from an XML element

Parameters:

elem (lxml.etree._Element) – XML element

Returns:

Uniform distribution generated from XML element

Return type:

openmc.stats.Uniform

mean() → float

Return mean of the uniform distribution

Added in version 0.15.3.

Returns:

Mean of uniform distribution

Return type:

float

sample(n_samples=1, seed=None)

Sample the univariate distribution

Parameters:

• n_samples (int) – Number of sampled values to generate

• seed (int or None) – Initial random number seed.

Returns:

A 1-D array of sampled values

Return type:

numpy.ndarray

to_xml_element(element_name: str)

Return XML representation of the uniform distribution

Parameters:

element_name (str) – XML element name

Returns:

element – XML element containing uniform distribution data

Return type:

lxml.etree._Element