On 09.07.2015 10:46, François Kawala wrote: > 2015-07-08 16:32 GMT+02:00 François Kawala <[email protected] > <mailto:[email protected]>>: > > Hello, > > Here is a code snippet where I try to use the shortest_path function with > a precomputed predecessor_map. > > targets = range(1,10) > > source = 0 > > distances_in, pred_map = shortest_distance(graph, > source=source, > target=targets, > weights=graph.ep[EDGE_LEN], > pred_map=True) > > inward_path = shortest_path(graph, > source=source, > target=targets[5], > pred_map=pred_map) > > To run that code ends in: > > File > "/usr/lib/python2.7/dist-packages/graph_tool/topology/__init__.py", line > 1348, in shortest_path > if pred_map[target] == int(target): # no path to target > File "/usr/lib/python2.7/dist-packages/graph_tool/__init__.py", > line 438, in __getitem__ > return self.__map[self.__key_trans(k)] > Boost.Python.ArgumentError: Python argument types in > > VertexPropertyMap<int64_t>.__getitem__(VertexPropertyMap<int64_t>, > numpy.int64) > did not match C++ signature: > > __getitem__(graph_tool::PythonPropertyMap<boost::checked_vector_property_map<long, > boost::typed_identity_property_map<unsigned long> > > {lvalue}, > graph_tool::PythonVertex) > > > > How could i circumvent that issue ?
You have to pass vertex descriptors, not integers. For instance, just use graph.vertex(source) instead of source. Same thing for target. Best, Tiago -- Tiago de Paula Peixoto <[email protected]>
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