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45 lines
1.6 KiB
Python

from graph_utils import make_name_generator
from graphviz import Digraph, Graph
def make_node (graph, generate_node_name, label):
node_name = generate_node_name()
graph.node(node_name, label=label)
return node_name
def visualize_node (graph, make_node, generate_node_name, node, previous_node_name = None, tailport = None):
if node:
node_name = make_node(graph, generate_node_name, node.value)
if previous_node_name:
graph.edge(previous_node_name, node_name, tailport=tailport, headport='s', penwidth='1')
visualize_node(graph, make_node, generate_node_name, node.left, node_name, 'nw')
# Hack to have a more beautiful layout
visualize_node(graph, make_node, generate_node_name, None, node_name, 'n')
visualize_node(graph, make_node, generate_node_name, node.right, node_name, 'ne')
else:
# Invisible node to balance the tree.
node_name = generate_node_name()
graph.node(node_name, label=node_name, style='invis')
graph.edge(previous_node_name, node_name, tailport=tailport, headport='s', style='invis')
def make_graph (graphname):
graph = Graph(name=graphname, format='svg', engine='dot')
graph.attr('graph', splines='line', rankdir='BT')
return graph
def visualize (tree, graphname, make_node=make_node, generate_node_name = make_name_generator(length=3)):
graph = make_graph(graphname)
visualize_node(graph, make_node, tree)
graph.render(graphname)
if __name__ == '__main__':
from treesort import make_tree
from random import randint
values = [randint(0, 250) for _ in range(15)]
tree = make_tree(values)
visualize(tree, 'tree')