def unpack_apply_message(bufs, g=None, copy=True):
    bufs = list(bufs) # allow us to pop
    assert len(bufs) >= 3, "not enough buffers!"
    if not copy:
        for i in range(3):
            bufs[i] = bufs[i].bytes
    cf = pickle.loads(bufs.pop(0))
    sargs = list(pickle.loads(bufs.pop(0)))
    skwargs = dict(pickle.loads(bufs.pop(0)))
    # print sargs, skwargs
    f = uncan(cf, g)
    for sa in sargs:
        if sa.data is None:
            m = bufs.pop(0)
            if sa.getTypeDescriptor() in ('buffer', 'ndarray'):
                # always use a buffer, until memoryviews get sorted out
                sa.data = buffer(m)
                # disable memoryview support
                # if copy:
                #     sa.data = buffer(m)
                # else:
                #     sa.data = m.buffer
            else:
                if copy:
                    sa.data = m
                else:
                    sa.data = m.bytes
    
    args = uncanSequence(list(map(unserialize, sargs)), g)
    kwargs = {}
    for k in sorted(skwargs.keys()):
        sa = skwargs[k]
        if sa.data is None:
            m = bufs.pop(0)
            if sa.getTypeDescriptor() in ('buffer', 'ndarray'):
                # always use a buffer, until memoryviews get sorted out
                sa.data = buffer(m)
                # disable memoryview support
                # if copy:
                #     sa.data = buffer(m)
                # else:
                #     sa.data = m.buffer
            else:
                if copy:
                    sa.data = m
                else:
                    sa.data = m.bytes

        kwargs[k] = uncan(unserialize(sa), g)
    
    return f,args,kwargs

#--------------------------------------------------------------------------
# helpers for implementing old MEC API via view.apply
#--------------------------------------------------------------------------
pcapinfo [-h?] [-m] [-c] <pcap file>...
dataset/ETHPy150Open ipython/ipython-py3k/IPython/parallel/util.py/unpack_apply_message--crossover with--dataset/ETHPy150Open kdart/pycopia/net/pycopia/pcap/report.py/pcap_report