for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import time
import pytest
import numpy as np
from ._parametrize import optimizers
def objective_function(para):
score = -para["x1"] * para["x1"]
return score
search_space = {
"x1": np.arange(0, 100, 1),
}
@pytest.mark.parametrize(*optimizers)
def test_name_0(Optimizer):
opt = Optimizer(search_space)
opt.name
def test_name_1(Optimizer):
opt._name_
SimonBlanke /
Gradient-Free-Optimizers
