[Python] How to define the search space for a simple equation optimization

I'm trying to learn skopt, but I'm struggling to get even a simple multivariate minimization to run.

import skopt

def black_box_function(some_x, some_y):
return -some_x + 2 - (some_y - 1) ** 2 + 1

BOUNDS = [(0, 100.0), (0, 100.0)]

result = skopt.dummy_minimize(func=black_box_function, dimensions=BOUNDS)


When I run this, it seems to figure out that I want the search space for some_x to lie between 0 and 100, but it returns this error:

TypeError: black_box_function() missing 1 required positional argument: 'some_y'.


How can I define the search space for both some_x and some_y?

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