for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import numpy as np
import itertools
def split_into_subspaces(search_space, split_per_dim=2):
sub_arrays = []
for search_dim in search_space:
sub_arrays.append(np.array_split(search_dim, split_per_dim))
return [list(p) for p in itertools.product(*sub_arrays)]
SimonBlanke /
Gradient-Free-Optimizers
