I have a nested, layered state, and would like to do MCMC sampling; but 

throws an error (below)... can this be fixed? 

Many thanks,

Peter

Traceback (most recent call last):

  File "code/model_averaging.py", line 38, in <module>

    state = state.copy(bs=bs, sampling=True)

  File "/share/apps/python/gcc6/2.7.12/lib/python2.7/site-packages/graph_tool/inference/nested_blockmodel.py", line 145, in copy

    **kwargs)

  File "/share/apps/python/gcc6/2.7.12/lib/python2.7/site-packages/graph_tool/inference/nested_blockmodel.py", line 109, in __init__

    bstate = state.get_block_state(b=b, **args)

  File "/share/apps/python/gcc6/2.7.12/lib/python2.7/site-packages/graph_tool/inference/layered_blockmodel.py", line 532, in get_block_state

    **kwargs)

  File "/share/apps/python/gcc6/2.7.12/lib/python2.7/site-packages/graph_tool/inference/layered_blockmodel.py", line 149, in __init__

    "layer_entropy"]))

  File "/share/apps/python/gcc6/2.7.12/lib/python2.7/site-packages/graph_tool/inference/blockmodel.py", line 408, in __init__

    str(list(kwargs.keys())))

ValueError: unrecognized keyword arguments: ['copy_bg']