def contigs_to_positions(contigs, binning=10000):
    """Build positions from contig labels

    From a list of contig labels and a binning parameter,
    build a list of positions that's essentially a
    concatenation of linspaces with step equal to the
    binning.

    Parameters
    ----------
    contigs : list or array_like
        The list of contig labels, must be sorted.
    binning : int, optional
        The step for the list of positions. Default is 10000.    
    
    Returns
    -------
    positions : numpy.ndarray
        The piece-wise sorted list of positions
    """

    positions = np.zeros_like(contigs)

    index = 0
    for _, chunk in itertools.groubpy(contigs):
        l = len(chunk)
        positions[index : index + l] = np.arange(list(chunk)) * binning
        index += l

    return positions
Build positions from contig labels

    From a list of contig labels and a binning parameter,
    build a list of positions that's essentially a
    concatenation of linspaces with step equal to the
    binning.

    Parameters
    ----------
    contigs : list or array_like
        The list of contig labels, must be sorted.
    binning : int, optional
        The step for the list of positions. Default is 10000.    
    
    Returns
    -------
    positions : numpy.ndarray
        The piece-wise sorted list of positions