code: def update_keys_and_values(
      self, actions, key_gradients, value_gradients, indices
  ):
      # Update DND keys and values
      for batch_action, batch_keys, batch_values, batch_indices in zip(
          actions, key_gradients, value_gradients, indices
      ):
          # Update keys (embeddings) and values in DND
          for i, index in enumerate(batch_indices):
              self.dicts[batch_action].embeddings[index, :] -= (
                  self.learning_rate * batch_keys[i, :]
              )
              self.dicts[batch_action].values[index] -= (
                  self.learning_rate * batch_values[i]
              )
  
imports: import os
  import pickle
  import numpy
label_desc: Use image node_id 5 for calling the QDND obj's underlying member method code with example usage: obj.update_keys_and_values(actions, key_gradients, value_gradients, indices) without return types