def sphere(x):
# When using hypercomplex numbers, we always need to span them
# before feeding into the function
x_span = h.span(x, lower_bound, upper_bound)
# Declaring Sphere's function
y = x_span**2
return np.sum(y)
def test_span():
array = np.array([[0.5, 0.75, 0.5, 0.9]])
lb = [0]
ub = [10]
span_array = hypercomplex.span(array, lb, ub)
assert span_array > 0
def __hyper_spanning(x):
"""Wraps the objective function for calculating its output.
Args:
x (np.array): Array of hyper-values.
Returns:
The objective function itself.
"""
# Spans `x` between lower and upper bounds
x = h.span(x, lb, ub)
return f(x)
import numpy as np
import opytimizer.math.hypercomplex as h
# Creating an array with ones
a = np.ones((2, 4))
print(f'Array: {a}')
# Declaring lower bounds
lb = np.array([-5, -5])
# Also, we need to declare upper bounds
ub = np.array([-2, -2])
# Calculating the hypercomplex number norm
norm = h.norm(a)
print(f'Norm Array: {norm}')
# Spanning it into lower and upper bounds
span = h.span(a, lb, ub)
print(f'Spanned Array: {span}')