def uniform_spacings(N):
    """ Generate ordered uniform variates in O(N) time.

    Parameters
    ----------
    N: int (>0)
        the expected number of uniform variates

    Returns
    -------
    (N,) float ndarray 
        the N ordered variates (ascending order)

    Note
    ----
    This is equivalent to::

        from numpy import random
        u = sort(random.rand(N))

    but the line above has complexity O(N*log(N)), whereas the algorithm 
    used here has complexity O(N).

    """
    z = np.cumsum(-np.log(random.rand(N + 1)))
    return z[:-1] / z[-1]
def uniform_spacings ( N ) : z = np . cumsum ( - np . log ( random . rand ( N + 1 ) ) ) return z [ : - 1 ] / z [ - 1 ]
Generate ordered uniform variates in O(N) time.

    Parameters
    ----------
    N: int (>0)
        the expected number of uniform variates

    Returns
    -------
    (N,) float ndarray 
        the N ordered variates (ascending order)

    Note
    ----
    This is equivalent to::

        from numpy import random
        u = sort(random.rand(N))

    but the line above has complexity O(N*log(N)), whereas the algorithm 
    used here has complexity O(N).