lib/graph/cluster.py
def flatten(node, distance=1):
    
    """ Recursively lists the node and its links.
    
    Distance of 0 will return the given [node].
    Distance of 1 will return a list of the node and all its links.
    Distance of 2 will also include the linked nodes' links, etc.
    
    """
    
    # When you pass a graph it returns all the node id's in it.
    if hasattr(node, "nodes") and hasattr(node, "edges"):
        return [n.id for n in node.nodes]
    
    all = [node]
    if distance >= 1:
        for n in node.links: 
            all += n.flatten(distance-1)
    
    return unique(all)
def flatten(node, distance=1):
    
    """ Recursively lists the node and its links.
    
    Distance of 0 will return the given [node].
    Distance of 1 will return a list of the node and all its links.
    Distance of 2 will also include the linked nodes' links, etc.
    
    """
    
    # When you pass a graph it returns all the node id's in it.
    if hasattr(node, "nodes") and hasattr(node, "edges"):
        return [n.id for n in node.nodes]
    
    all = [node]
    if distance >= 1:
        for n in node.links: 
            all += n.flatten(distance-1)
    
    return unique(all)
def flatten ( node , distance = 1 ) : # When you pass a graph it returns all the node id's in it. if hasattr ( node , "nodes" ) and hasattr ( node , "edges" ) : return [ n . id for n in node . nodes ] all = [ node ] if distance >= 1 : for n in node . links : all += n . flatten ( distance - 1 ) return unique ( all )
Recursively lists the node and its links.
    
    Distance of 0 will return the given [node].
    Distance of 1 will return a list of the node and all its links.
    Distance of 2 will also include the linked nodes' links, etc.
Recursively lists the node and its links . Distance of 0 will return the given [ node ] . Distance of 1 will return a list of the node and all its links . Distance of 2 will also include the linked nodes links etc .