code: def should_select_largest(self, name):
      if self.distance.is_inverted:
          return False if name == "pos" else True
      return True if name == "pos" else False
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/miners/hdc_miner.py
imports: import math
  import torch
  from ..utils import loss_and_miner_utils
  from .base_miner import BaseMiner
label_desc: Use image node_id 3 for calling the HDCMiner obj's underlying member method code with example usage: obj.should_select_largest(name) and returns: unknown, unknown