for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
import numpy as np
from gradient_free_optimizers import ParallelTemperingOptimizer
from ._base_test import _base_test
n_iter = 100
opt = ParallelTemperingOptimizer
def test_n_swaps():
for n_iter_swap in [1, 3, 10, 33]:
opt_para = {"n_iter_swap": n_iter_swap}
_base_test(opt, n_iter, opt_para=opt_para)