treelib | efficient implementation of tree data structure | Dataset library

class MyNode(object):
    def __init__(self, id, label):
        self.id = id
        self.label = label


from treelib import Tree
tree = Tree()

def add_node(id, label, parent=None):
    node = MyNode(id, label)
    tree.create_node(tag=

l = [
    {"node": "root", "children": ["a"]},
    {"node": "a", "children": ["b", "b"]},
    {"node": "b", "children": ["c", "c", "c"]},
    {"node": "c", "children": ["d"]},
]

compressed = {e["node"]: e["children

import treelib, itertools as it, collections as ct
lst = [1,['a','b','c','d',['s','t',['ab','cd',['a','b'],'ef'],'u'],'f']] 
tree = treelib.Tree()
c = ct.defaultdict(lambda :it.count(1))
def build_tree(d, t, p = None):
   last_p = None
   

from treelib import Node, Tree


lst = ["S", ["NP", ["DT", "the"], ["NN", "dog"]], ["VP", ["Vt", "saw"], ["NP", ["NP", ["DT", "the"], ["NN", "man"]],
                                                                   ["PP", ["P", "with"],

# the working dataset
df2 = df.iloc[:, :4].reset_index(drop=True)  # make a copy
df2.columns = range(4)  # rename columns to (0,1,2,3) for convenience

# output container
arr = np.zeros(df2.shape, dtype=int) 

# state variable: level of th

    comp_graph_components = [complement.subgraph(c).copy() for c in nx.connected_components(complement)]

            for subgraph in comp_graph_components:

                generate_cotree(subgraph,tree_pointer=tree_ptr)

from treelib import Node, Tree

my_dict = {'S': {1: 'AbB', 2: 'bbS'}, 'AbB': {1: 'bAbbB', 2: 'abB'}, 'bAbbB': {}, 'abB': {1: 'abAaA', 2: 'abbBB', 3: 'abb'}, 'abAaA': {}, 'abbBB': {}, 'abb': {}, 'bbS': {}}


def add_children(data, tree, nod

from treelib import Tree

def extract_regions(image):
"""
Extracts 8-neighbors-connected regions from a binary image.
:param image: A homogeneous list of lists containing binary values (booleans or 1s and 0s).
:return: A list of trees cont

def getDescendants(curr, par, level):
    res = [[curr, par, level]]
    children = df.query('Parent == @curr')
    for n in children.Child:
        if n != par:
            deeper = getDescendants(n, curr, level + 1)
            if len(de