tests.test_optimizers.test_memory

Complexity

Total Complexity

2

Size/Duplication

Total Lines	39
Duplicated Lines	0 %

Importance

Changes

0

2 Functions

Rating	Name	Duplication	Size	Complexity
A	test_memory_0()	0	22	1
A	objective_function()	0	3	1

import pytest
import numpy as np


from hyperactive import Hyperactive
from ._parametrize import optimizers


def objective_function(opt):
    score = -opt["x1"] * opt["x1"]
    return score


search_space = {"x1": list(np.arange(-10, 11, 1))}


@pytest.mark.parametrize(*optimizers)
def test_memory_0(Optimizer):
    optimizer = Optimizer()

    n_iter = 30

    hyper = Hyperactive()
    hyper.add_search(
        objective_function,
        search_space,
        optimizer=optimizer,
        n_iter=n_iter,
        n_jobs=2,
    )
    hyper.add_search(
        objective_function,
        search_space,
        optimizer=optimizer,
        n_iter=n_iter,
        n_jobs=2,
    )
    hyper.run()