Source code for bmtk.builder.network_adaptors.nxnetwork

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import networkx as nx

from .network import Network


[docs]class NxNetwork(Network): def __init__(self, name, **network_props): super(NxNetwork, self).__init__(name, **network_props or {}) self.net = nx.MultiDiGraph() self.__nodes = [] def _initialize(self): self.net.clear() def _add_nodes(self, nodes): self.__nodes += nodes self.net.add_nodes_from(nodes) def _add_edges(self, edge, connections): for src, trg, nsyns in connections: self.net.add_edge(src, trg, nsyns=nsyns, edge_type_id=edge.edge_type_id) def _clear(self): self.net.clear() def _nodes_iter(self, nids=None): if nids is not None: return ((nid, d) for nid, d in self.__nodes if nid in nids) else: return self.__nodes def _edges_iter(self, nids=None, rank=0): if nids is None or len(nids) == 0: for e in self.net.edges(data=True): yield (e[0], e[1], e[2]['nsyns'], e[2]['edge_type_id']) elif rank == 0: for e in self.net.out_edges(nids, data=True): yield (e[0], e[1], e[2]['nsyns'], e[2]['edge_type_id']) else: for e in self.net.in_edges(nids, data=True): yield (e[0], e[1], e[2]['nsyns'], e[2]['edge_type_id']) @property def nnodes(self): return nx.number_of_nodes(self.net) @property def nedges(self): return nx.number_of_edges(self.net)