code: def _get_cache_file_for_reals(self, extension="pkl", **kwargs):
      all_args = dnnlib.EasyDict(
          metric_name=self.name, mirror_augment=self._mirror_augment
      )
      all_args.update(self._dataset_args)
      all_args.update(kwargs)
      md5 = hashlib.md5(repr(sorted(all_args.items())).encode("utf-8"))
      dataset_name = self._dataset_args.get(
          "tfrecord_dir", None
      ) or self._dataset_args.get("h5_file", None)
      dataset_name = os.path.splitext(os.path.basename(dataset_name))[0]
      return os.path.join(
          ".stylegan2-cache",
          "%s-%s-%s.%s"
          % (md5.hexdigest(), self.name, dataset_name, extension),
      )
  
imports: import os
  import time
  import hashlib
  import numpy
  import tensorflow
  import dnnlib
  import dnnlib.tflib
  from training import misc
  from training import dataset
label_desc: Use image node_id 11 for calling the MetricBase obj's underlying member method code with example usage: obj._get_cache_file_for_reals(extension) and returns: os