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 __init__(self, token: int = None, parent=None):
      # The token associate with this node (None for the root)
      self.token = int(token) if token is not None else None
      # The parent (None at the root)
      self.parent = parent
      # Whether this node is a completed constraint
      self.terminal = 0
      # List of child nodes
      self.children = {}
  
      # The cumulative number of constraints from this point in the
      # trie forward
      self.num_constraints = 0
  
imports: from collections import Counter
  from typing import List, Optional, Set, Tuple
  import torch
label_desc: Use image node_id 1 to create a new ConstraintNode object  with example: obj = ConstraintNode(token, parent)