class_docstr: Represents a node in a trie managing unordered constraints.
class_docstr_tok: ["Represents","a","node","in","a","trie","managing","unordered","constraints","."]
code: def print_graph(node: "ConstraintNode"):
      if len(node.children) == 0:
          return str(node)
      else:
          s = f"({node}"
          for child in node.children.values():
              s += " " + ConstraintNode.print_graph(child)
          s += ")"
          return s
  
imports: from collections import Counter
  from typing import List, Optional, Set, Tuple
  import torch
label_desc: Use image node_id 7 for calling the ConstraintNode obj's underlying member method code with example usage: obj.print_graph(node) and returns: str, s