111 lines
3.6 KiB
Python
111 lines
3.6 KiB
Python
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# operations.py - binary operations on trees
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#
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# Copyright 2015 NetworkX developers.
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#
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# This file is part of NetworkX.
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#
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# NetworkX is distributed under a BSD license; see LICENSE.txt for more
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# information.
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"""Operations on trees."""
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from functools import partial
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from itertools import chain
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import networkx as nx
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from networkx.utils import accumulate
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__all__ = ['join']
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def join(rooted_trees, label_attribute=None):
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"""Returns a new rooted tree with a root node joined with the roots
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of each of the given rooted trees.
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Parameters
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----------
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rooted_trees : list
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A list of pairs in which each left element is a NetworkX graph
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object representing a tree and each right element is the root
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node of that tree. The nodes of these trees will be relabeled to
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integers.
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label_attribute : str
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If provided, the old node labels will be stored in the new tree
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under this node attribute. If not provided, the node attribute
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``'_old'`` will store the original label of the node in the
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rooted trees given in the input.
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Returns
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-------
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NetworkX graph
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The rooted tree whose subtrees are the given rooted trees. The
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new root node is labeled 0. Each non-root node has an attribute,
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as described under the keyword argument ``label_attribute``,
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that indicates the label of the original node in the input tree.
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Notes
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-----
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Graph, edge, and node attributes are propagated from the given
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rooted trees to the created tree. If there are any overlapping graph
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attributes, those from later trees will overwrite those from earlier
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trees in the tuple of positional arguments.
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Examples
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--------
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Join two full balanced binary trees of height *h* to get a full
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balanced binary tree of depth *h* + 1::
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>>> h = 4
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>>> left = nx.balanced_tree(2, h)
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>>> right = nx.balanced_tree(2, h)
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>>> joined_tree = nx.join([(left, 0), (right, 0)])
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>>> nx.is_isomorphic(joined_tree, nx.balanced_tree(2, h + 1))
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True
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"""
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if len(rooted_trees) == 0:
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return nx.empty_graph(1)
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# Unzip the zipped list of (tree, root) pairs.
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trees, roots = zip(*rooted_trees)
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# The join of the trees has the same type as the type of the first
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# tree.
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R = type(trees[0])()
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# Relabel the nodes so that their union is the integers starting at 1.
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if label_attribute is None:
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label_attribute = '_old'
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relabel = partial(nx.convert_node_labels_to_integers,
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label_attribute=label_attribute)
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lengths = (len(tree) for tree in trees[:-1])
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first_labels = chain([0], accumulate(lengths))
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trees = [relabel(tree, first_label=first_label + 1)
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for tree, first_label in zip(trees, first_labels)]
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# Get the relabeled roots.
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roots = [next(v for v, d in tree.nodes(data=True) if d.get('_old') == root)
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for tree, root in zip(trees, roots)]
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# Remove the old node labels.
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for tree in trees:
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for v in tree:
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tree.nodes[v].pop('_old')
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# Add all sets of nodes and edges, with data.
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nodes = (tree.nodes(data=True) for tree in trees)
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edges = (tree.edges(data=True) for tree in trees)
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R.add_nodes_from(chain.from_iterable(nodes))
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R.add_edges_from(chain.from_iterable(edges))
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# Add graph attributes; later attributes take precedent over earlier
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# attributes.
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for tree in trees:
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R.graph.update(tree.graph)
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# Finally, join the subtrees at the root. We know 0 is unused by the
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# way we relabeled the subtrees.
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R.add_node(0)
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R.add_edges_from((0, root) for root in roots)
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return R
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