ó žÃÒYc@s[dZddlmZddlmZddlZddlmZdgZ dd„Z dS(sOperations on trees.iÿÿÿÿ(tpartial(tchainN(t accumulatetjoinc sêt|ƒdkrtjdƒSt|Œ\}}t|dƒƒ}|d krYd}nttjd|ƒ}d„|d Dƒ}tdgt |ƒƒ}gt||ƒD]"\}} ||d| dƒ^qª}gt||ƒD]4\}‰t ‡fd†|j d t ƒDƒƒ^qâ}x3|D]+}x"|D]} |j | j dƒq0Wq#Wd „|Dƒ} d „|Dƒ} |jtj| ƒƒ|jtj| ƒƒx!|D]}|jj|jƒq¥W|jdƒ|jd „|Dƒƒ|S(sˆReturns a new rooted tree with a root node joined with the roots of each of the given rooted trees. 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 node attribute ``'_old'`` will store the original label of the node in the rooted trees given in the input. Returns ------- NetworkX graph The rooted tree whose subtrees are the given rooted trees. The new root node is labeled 0. Each non-root node has an attribute, as described under the keyword argument ``label_attribute``, that indicates the label of the original node in the input tree. Notes ----- 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 iit_oldtlabel_attributecss|]}t|ƒVqdS(N(tlen(t.0ttree((sy/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/tree/operations.pys Psiÿÿÿÿt first_labelc3s0|]&\}}|jdƒˆkr|VqdS(RN(tget(Rtvtd(troot(sy/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/tree/operations.pys Vstdatacss!|]}|jdtƒVqdS(RN(tnodestTrue(RR((sy/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/tree/operations.pys _scss!|]}|jdtƒVqdS(RN(tedgesR(RR((sy/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/tree/operations.pys `scss|]}d|fVqdS(iN((RR ((sy/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/tree/operations.pys lsN(Rtnxt empty_graphtzipttypetNoneRtconvert_node_labels_to_integersRRtnextRRtpoptadd_nodes_fromt from_iterabletadd_edges_fromtgraphtupdatetadd_node( t rooted_treesRttreestrootstRtrelabeltlengthst first_labelsRR R RR((R sy/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/tree/operations.pyRs4.     5G    ( t__doc__t functoolsRt itertoolsRtnetworkxRtnetworkx.utilsRt__all__RR(((sy/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/tree/operations.pyt s