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"""Operations on trees.""" | |
from functools import partial | |
from itertools import accumulate, chain | |
import networkx as nx | |
__all__ = ["join", "join_trees"] | |
def join(rooted_trees, label_attribute=None): | |
"""A deprecated name for `join_trees` | |
Returns a new rooted tree with a root node joined with the roots | |
of each of the given rooted trees. | |
.. deprecated:: 3.2 | |
`join` is deprecated in NetworkX v3.2 and will be removed in v3.4. | |
It has been renamed join_trees with the same syntax/interface. | |
""" | |
import warnings | |
warnings.warn( | |
"The function `join` is deprecated and is renamed `join_trees`.\n" | |
"The ``join`` function itself will be removed in v3.4", | |
DeprecationWarning, | |
stacklevel=2, | |
) | |
return join_trees(rooted_trees, label_attribute=label_attribute) | |
# Argument types don't match dispatching, but allow manual selection of backend | |
def join_trees(rooted_trees, *, label_attribute=None, first_label=0): | |
"""Returns a new rooted tree made by joining `rooted_trees` | |
Constructs a new tree by joining each tree in `rooted_trees`. | |
A new root node is added and connected to each of the roots | |
of the input trees. While copying the nodes from the trees, | |
relabeling to integers occurs. If the `label_attribute` is provided, | |
the old node labels will be stored in the new tree under this attribute. | |
Parameters | |
---------- | |
rooted_trees : list | |
A list of pairs in which each left element is a NetworkX graph | |
object representing a tree and each right element is the root | |
node of that tree. The nodes of these trees will be relabeled to | |
integers. | |
label_attribute : str | |
If provided, the old node labels will be stored in the new tree | |
under this node attribute. If not provided, the original labels | |
of the nodes in the input trees are not stored. | |
first_label : int, optional (default=0) | |
Specifies the label for the new root node. If provided, the root node of the joined tree | |
will have this label. If not provided, the root node will default to a label of 0. | |
Returns | |
------- | |
NetworkX graph | |
The rooted tree resulting from joining the provided `rooted_trees`. The new tree has a root node | |
labeled as specified by `first_label` (defaulting to 0 if not provided). Subtrees from the input | |
`rooted_trees` are attached to this new root node. Each non-root node, if the `label_attribute` | |
is provided, has an attribute that indicates the original label of the node in the input tree. | |
Notes | |
----- | |
Trees are stored in NetworkX as NetworkX Graphs. There is no specific | |
enforcement of the fact that these are trees. Testing for each tree | |
can be done using :func:`networkx.is_tree`. | |
Graph, edge, and node attributes are propagated from the given | |
rooted trees to the created tree. If there are any overlapping graph | |
attributes, those from later trees will overwrite those from earlier | |
trees in the tuple of positional arguments. | |
Examples | |
-------- | |
Join two full balanced binary trees of height *h* to get a full | |
balanced binary tree of depth *h* + 1:: | |
>>> h = 4 | |
>>> left = nx.balanced_tree(2, h) | |
>>> right = nx.balanced_tree(2, h) | |
>>> joined_tree = nx.join([(left, 0), (right, 0)]) | |
>>> nx.is_isomorphic(joined_tree, nx.balanced_tree(2, h + 1)) | |
True | |
""" | |
if not rooted_trees: | |
return nx.empty_graph(1) | |
# Unzip the zipped list of (tree, root) pairs. | |
trees, roots = zip(*rooted_trees) | |
# The join of the trees has the same type as the type of the first tree. | |
R = type(trees[0])() | |
lengths = (len(tree) for tree in trees[:-1]) | |
first_labels = list(accumulate(lengths, initial=first_label + 1)) | |
new_roots = [] | |
for tree, root, first_node in zip(trees, roots, first_labels): | |
new_root = first_node + list(tree.nodes()).index(root) | |
new_roots.append(new_root) | |
# Relabel the nodes so that their union is the integers starting at first_label. | |
relabel = partial( | |
nx.convert_node_labels_to_integers, label_attribute=label_attribute | |
) | |
new_trees = [ | |
relabel(tree, first_label=first_label) | |
for tree, first_label in zip(trees, first_labels) | |
] | |
# Add all sets of nodes and edges, attributes | |
for tree in new_trees: | |
R.update(tree) | |
# Finally, join the subtrees at the root. We know first_label is unused by the way we relabeled the subtrees. | |
R.add_node(first_label) | |
R.add_edges_from((first_label, root) for root in new_roots) | |
return R | |