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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _probvec(r, out):
 """ Fill `out` with randomly sampled probability vectors as rows. To be complied as a ufunc by guvectorize of Numba. The inputs must have the same shape except the last axis; the length of the last axis of `r` must be that of `out` minus 1, i.e., if out.shape[-1] is k, then r.shape[-1] must be k-1. Parameters r : ndarray(float) Array containing random values in [0, 1). out : ndarray(float) Output array. """

    n = r.shape[0]
    r.sort()
    out[0] = r[0]
    for i in range(1, n):
        out[i] = r[i] - r[i-1]
    out[n] = 1 - r[n-1]