AutoNetkit Functions
Note: these will be split into seperate modules
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autonetkit.ank.aggregate_nodes(OverlayGraph, nodes, retain=[])[source]
Combines connected into a single node
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autonetkit.ank.boundary_nodes(graph, nodes)[source]
returns nodes at boundary of G based on edge_boundary from networkx
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autonetkit.ank.explode_nodes(OverlayGraph, nodes, retain=[])[source]
Explodes all nodes in nodes
TODO: explain better
TODO: Add support for digraph - check if OverlayGraph.is_directed()
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autonetkit.ank.groupby(attribute, nodes)[source]
Takes a group of nodes and returns a generator of (attribute, nodes) for each attribute value
A simple wrapped around itertools.groupby that creates a lambda for the attribute
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autonetkit.ank.most_frequent(iterable)[source]
returns most frequent item in iterable
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autonetkit.ank.neigh_average(OverlayGraph, node, attribute, attribute_graph=None)[source]
averages out attribute from neighbors in specified OverlayGraph
attribute_graph is the graph to read the attribute from
if property is numeric, then return mean
else return most frequently occuring value
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autonetkit.ank.neigh_equal(OverlayGraph, node, attribute, attribute_graph=None)[source]
Boolean, True if neighbors in OverlayGraph all have same attribute in attribute_graph
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autonetkit.ank.neigh_most_frequent(OverlayGraph, node, attribute, attribute_graph=None)[source]
Used to explicitly force most frequent - useful if integers such as ASN which would otherwise return mean
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autonetkit.ank.set_node_default(OverlayGraph, nbunch, **kwargs)[source]
Sets all nodes in nbunch to value if key not already set
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autonetkit.ank.wrap_edges(OverlayGraph, edges)[source]
wraps edge ids into edge overlay
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autonetkit.ank.wrap_nodes(OverlayGraph, nodes)[source]
wraps node id into node overlay