tests.test_empty_output.non_verbose

Complexity

Total Complexity

1

Size/Duplication

Total Lines	27
Duplicated Lines	40.74 %

Importance

Changes

0

1 Function

Rating	Name	Duplication	Size	Complexity
A	ackley_function()	11	11	1

import numpy as np
from hyperactive import Hyperactive


def ackley_function(para):

This code seems to be duplicated in your project.

    x, y = para["x"], para["y"]

    loss = (
        -20 * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))
        - np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))
        + np.exp(1)
        + 20
    )

    return -loss


search_space = {
    "x": list(np.arange(-10, 10, 0.01)),
    "y": list(np.arange(-10, 10, 0.01)),
}


hyper = Hyperactive(verbosity=False)
hyper.add_search(ackley_function, search_space, n_iter=30, memory=True)
hyper.run()