code: def get_voting_problem(
      min_n_voters: int, max_n_voters: int
  ) -> Problem:
      """Creates set of one-hot vectors representing a randomly generated election.
  
      Args:
        min_n_voters: minimum number of voters in the election.
        max_n_voters: maximum number of voters in the election.
  
      Returns:
        set, one-hot vector encoding the winner.
      """
      n_candidates = 20
      n_voters = random.randint(min_n_voters, max_n_voters)
      votes = np.random.randint(0, n_candidates, size=(n_voters,))
      one_hot_votes = np.eye(n_candidates)[votes]
      winner = np.argmax(np.sum(one_hot_votes, axis=0))
      one_hot_winner = np.eye(n_candidates)[winner]
  
      graph = jraph.GraphsTuple(
          n_node=np.asarray([n_voters]),
          n_edge=np.asarray([0]),
          nodes=one_hot_votes,
          edges=None,
          globals=np.zeros((1, n_candidates)),
          # There are no edges in our graph.
          senders=np.array([], dtype=np.int32),
          receivers=np.array([], dtype=np.int32),
      )
  
      # In order to jit compile our code, we have to pad the nodes and edges of
      # the GraphsTuple to a static shape.
      graph = jraph.pad_with_graphs(graph, max_n_voters + 1, 0)
  
      return Problem(graph=graph, labels=one_hot_winner)
  
file_path: jraph/jraph/examples/e_voting.py
imports: import collections
  import logging
  import random
  from absl import app
  import haiku
  import jax
  import jax.numpy
  import jraph
  import numpy
  import optax
label_desc: Use image node_id 1 for calling a global function with example usage: get_voting_problem(min_n_voters, max_n_voters) and returns: Problem