Dear community, so I'm running the minimize_nested_blockmodel_dl() on a high performance computing cluster (due to RAM limitations on my laptop). My idea was save the output object via pickle, transfer it to my laptop and to analyse it there. But I get an error unpickling the object... see below. Would anybody know if this can be fixed? Many thanks, Peter (Both terminals are running Python 2.7.12.) *(remote) Pickling: * c = gt.is_bipartite(g, True)[1] state = gt.minimize_nested_blockmodel_dl(g, deg_corr=True, layers=True, state_args=dict(ec=g.ep.visits, layers=False, pclabel=c), B_min=200, B_max=2500, verbose=True) pickle.dump(state, open(outfile, "wb"), -1) *(local) Unpickling:* state = pickle.load(open(filename, "rb")) ---------------------------------------------------------------------------KeyError Traceback (most recent call last)<ipython-input-2-0c2db42e78d1> in <module>()----> 1 state = pickle.load(open(filename, "rb")) 2 state.print_summary() /usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.pyc in load(file) 1382 1383 def load(file):-> 1384 return Unpickler(file).load() 1385 1386 def loads(str): /usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.pyc in load(self) 862 while 1: 863 key = read(1)--> 864 dispatch[key](self) 865 except _Stop, stopinst: 866 return stopinst.value /usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.pyc in load_build(self) 1221 setstate = getattr(inst, "__setstate__", None) 1222 if setstate:-> 1223 setstate(state) 1224 return 1225 slotstate = None /usr/local/lib/python2.7/site-packages/graph_tool/inference/nested_blockmodel.pyc in __setstate__(self, state) 144 def __setstate__(self, state): 145 conv_pickle_state(state)--> 146 self.__init__(**overlay(dmask(state, ["kwargs"]), **state["kwargs"])) 147 148 def get_bs(self): KeyError: 'kwargs'