"""Contains utilities for the design of experiments.
This module defines utility functions for various
experimental design methods.
"""
from itertools import product
import numpy as np
from ..data_model import ParameterSpecification
[docs]
def get_full_factorial_design(
parameter_spec: ParameterSpecification,
) -> np.ndarray: # pragma: no cover
"""Get a full factorial design from a parameter specification.
Args:
parameter_spec (ParameterSpecification): The parameter specification.
Returns:
np.ndarray: The full factorial design.
"""
factorial_design = []
for parameter in parameter_spec.parameters:
parameter_values = parameter.parameter_values
if parameter_values is not None:
factorial_design.append(parameter_values)
cartesian_product = list(product(*factorial_design))
cartesian_product = [np.array(combination) for combination in cartesian_product]
return np.array(cartesian_product)