test_global_optimization.py 1.32 KB
from dlib import find_max_global, find_min_global
from pytest import raises


def test_global_optimization_nargs():
    w0 = find_max_global(lambda *args: sum(args), [0, 0, 0], [1, 1, 1], 10)
    w1 = find_min_global(lambda *args: sum(args), [0, 0, 0], [1, 1, 1], 10)
    assert w0 == ([1, 1, 1], 3)
    assert w1 == ([0, 0, 0], 0)

    w2 = find_max_global(lambda a, b, c, *args: a + b + c - sum(args), [0, 0, 0], [1, 1, 1], 10)
    w3 = find_min_global(lambda a, b, c, *args: a + b + c - sum(args), [0, 0, 0], [1, 1, 1], 10)
    assert w2 == ([1, 1, 1], 3)
    assert w3 == ([0, 0, 0], 0)

    with raises(Exception):
        find_max_global(lambda a, b: 0, [0, 0, 0], [1, 1, 1], 10)
    with raises(Exception):
        find_min_global(lambda a, b: 0, [0, 0, 0], [1, 1, 1], 10)
    with raises(Exception):
        find_max_global(lambda a, b, c, d, *args: 0, [0, 0, 0], [1, 1, 1], 10)
    with raises(Exception):
        find_min_global(lambda a, b, c, d, *args: 0, [0, 0, 0], [1, 1, 1], 10)




from math import sin,cos,pi,exp,sqrt
def holder_table(x0,x1):
    return -abs(sin(x0)*cos(x1)*exp(abs(1-sqrt(x0*x0+x1*x1)/pi)))

def test_on_holder_table():
    x,y = find_min_global(holder_table, 
                            [-10,-10],  
                            [10,10],   
                            200)       
    assert (y - -19.2085025679) < 1e-7