class_docstr: Class for representing the nodes of Dynamic Bayesian Networks.
class_docstr_tok: ["Class","for","representing","the","nodes","of","Dynamic","Bayesian","Networks","."]
code: def __repr__(self) -> str:
      return f"<DynamicNode({self.node}, {self.time_slice}) at {hex(id(self))}>"
  
imports: import typing
  from collections import defaultdict
  from dataclasses import dataclass
  from itertools import chain, combinations
  import networkx
  import numpy
  import pandas
  from tqdm.auto import tqdm
  from pgmpy import config
  from pgmpy.base import DAG
  from pgmpy.factors.discrete import TabularCPD
  from pgmpy.utils import compat_fns
label_desc: Use image node_id 3 for calling the DynamicNode obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, hex, str