from ..utilities import phi
import numpy as np


def another_random_cube(objective, size, budget, seed=None):
    prng = np.random.default_rng(seed)
    fopt = None
    xopt = None
    for i in range(budget):
        x = prng.uniform(size=size)
        fx = objective(x)
        if fopt is None or xopt is None or fx < fopt:
            fopt = fx
            xopt = x
    return fopt, xopt, budget


def quasirandom_cube(objective, size, budget):
    # http://extremelearning.com.au/unreasonable-effectiveness-of-quasirandom-sequences/
    magic = phi(size)
    alpha = np.zeros(size)
    for i in range(size):
        alpha[i] = pow(1 / magic, i + 1) % 1
    xs = np.zeros((size, budget))
    xs[0, :] = 0.5  # first point is always dead center
    for i in range(1, budget):
        xs[i] = (xs[i - 1] + alpha) % 1

    best_so_far = None
    for i, x in zip(range(budget), xs):
        fx = objective(x)
        if best_so_far is None or fx < best_so_far[0]:
            best_so_far = (fx, x)
    fopt, xopt = best_so_far
    return fopt, xopt, budget