fix regression in quasirandom from swapping arguments

thursday/candidates/random.py

@@ -21,7 +21,7 @@ def quasirandom_cube(objective, size, budget):
     alpha = np.zeros(size)
     for i in range(size):
         alpha[i] = pow(1 / magic, i + 1) % 1
-    xs = np.zeros((size, budget))
+    xs = np.zeros((budget, size))
     xs[0, :] = 0.5  # first point is always dead center
     for i in range(1, budget):
         xs[i] = (xs[i - 1] + alpha) % 1