code: def dump_state_values(self, state_values) -> str:
      dump = ""
      for x in range(self.size[0]):
          for y in range(self.size[1]):
              pos = State((x, y))
              value = 0.0
              if pos in state_values:
                  value = state_values[pos]
              dump += "{:6.3}".format(value)
          dump += "\n"
      return dump
  
imports: import logging
  import random
  from typing import Iterable, Optional, Sequence, Tuple
  import numpy
  import torch
  from reagent.ope.estimators.sequential_estimators import DMEstimator, DoublyRobustEstimator, EpsilonGreedyRLPolicy, IPSEstimator, MAGICEstimator, NeuralDualDICE, RewardProbability, RLEstimatorInput, State, StateDistribution, StateReward, ValueFunction
  from reagent.ope.estimators.types import Action, ActionSpace
  from reagent.ope.test.envs import Environment, PolicyLogGenerator
  from reagent.ope.trainers.rl_tabular_trainers import DPTrainer, DPValueFunction, EstimatedStateValueFunction, TabularPolicy
label_desc: Use image node_id 14 for calling the GridWorld obj's underlying member method code with example usage: obj.dump_state_values(state_values) and returns: dump