Gradapt

- Added Async optimization Loop as a model

from grAdapt.models import Asynchronous
bounds = [(-2, 2)]
model = Asynchronous(bounds)

def objective(x):
return x**2

for i in range(9):
next_x = model.ask()
f_val = objective(next_x)
res = model.tell(next_x, f_val)

- Minor fixes

- escaping by considering a history of points

- Corrected binaries
- Installation and tests should now work

- deleted numba dependencies
- corrected Python version support

- Fixed test functions

- Fixed NoModel division by zero if lower and upper bound are equal
- more examples