nanotune.math.distributions

nanotune.math.distributions.uniform_ND(limits: Sequence[Sequence[int]], n_draw: int) List[List[int]][source]

limits = [[limit_x1, limit_y1], [limit_x2, limit_y2]] returns an array with uniformly sampled random variables return array is of shape (n_requested_samples, n_dimensions)