docstr: Returns the mean and variance of all instances as features.
docstr_tok: ["Returns","the","mean","and","variance","of","all","instances","as","features","."]
code: def get_instance_features(
      self, n: int | None = None
  ) -> dict[str, list[int | float]]:
      """Returns the mean and variance of all instances as features."""
      features = {}
      for instance in self.get_instances(n):
          features[instance] = [
              float(
                  self.data["feature"][
                      self.data["instance"] == instance
                  ]
              )
          ]
  
      return features
  
file_path: SMAC3/benchmark/src/datasets/ac_branin.py
imports: from __future__ import annotations
  import pandas
  from pathlib import Path
  from src.datasets.dataset import Dataset
label_desc: Use image node_id 3 for calling the ACBraninDataset obj's underlying member method code with example usage: obj.get_instance_features(n) and returns: features