code: def random_labeled_rooted_tree(n, *, seed=None):
      """Returns a labeled rooted tree with `n` nodes.
  
      The returned tree is chosen uniformly at random from all labeled rooted trees.
  
      Parameters
      ----------
      n : int
          The number of nodes
      seed : integer, random_state, or None (default)
          Indicator of random number generation state.
          See :ref:`Randomness<randomness>`.
  
      Returns
      -------
      :class:`networkx.Graph`
          A `networkx.Graph` with integer nodes 0 <= node <= `n` - 1.
          The root of the tree is selected uniformly from the nodes.
          The "root" graph attribute identifies the root of the tree.
  
      Notes
      -----
      This function returns the result of :func:`random_labeled_tree`
      with a randomly selected root.
  
      Raises
      ------
      NetworkXPointlessConcept
          If `n` is zero (because the null graph is not a tree).
      """
      t = random_labeled_tree(n, seed=seed)
      t.graph["root"] = seed.randint(0, n - 1)
      return t
  
imports: import warnings
  from collections import Counter, defaultdict
  from math import comb, factorial
  import networkx
  from networkx.utils import py_random_state
label_desc: Use image node_id 5 for calling a global function with example usage: random_labeled_rooted_tree(n) and returns: t