code: def train(self, config: Configuration, seed: int) -> float:
      x = config["x"]
      y = config["y"]
  
      return (x**2 + y - 11) ** 2 + (x + y**2 - 7) ** 2
  
file_path: SMAC3/benchmark/src/models/himmelblau.py
imports: from __future__ import annotations
  from ConfigSpace import Configuration, ConfigurationSpace, Float
  from src.datasets.dataset import Dataset
  from src.models.model import Model
label_desc: Use image node_id 3 for calling the HimmelblauModel obj's underlying member method code with example usage: obj.train(config, seed) and returns: unknown