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'