code: def get_func_for_stats(self, min_if_inverted):
      if min_if_inverted:
          return torch.min if self.distance.is_inverted else torch.max
      return torch.max if self.distance.is_inverted else torch.min
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/miners/batch_easy_hard_miner.py
imports: import torch
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_miner import BaseMiner
label_desc: Use image node_id 10 for calling the BatchEasyHardMiner obj's underlying member method code with example usage: obj.get_func_for_stats(min_if_inverted) and returns: unknown, unknown