code: def evaluation_fn(step, width, height):
      return (0.1 + width * step / 100) ** (-1) + height * 0.1
  
imports: import time
  from ray import train, tune
  from ray.tune.schedulers import AsyncHyperBandScheduler
  from ray.tune.search import ConcurrencyLimiter
  from ray.tune.search.bayesopt import BayesOptSearch
label_desc: Use image node_id 1 for calling a global function with example usage: evaluation_fn(step, width, height) and returns: unknown