code: def evaluate(self, next_step: int) -> list[float]:
      self._current_step = next_step
      return [-self._lc[next_step]]
  
file_path: optuna/benchmarks/naslib/problem.py
imports: from __future__ import annotations
  import sys
  from typing import Any
  from kurobako import problem
  from naslib.utils import get_dataset_api
label_desc: Use image node_id 3 for calling the NASLibEvaluator obj's underlying member method code with example usage: obj.evaluate(next_step) and returns: list