code: def loss(config):
      x = config.get("x")
      train.report({"loss": x**2})
  
imports: import math
  import numpy
  import pytest
  import ray
  from ray import train, tune
  from ray.tune.stopper import ExperimentPlateauStopper
  from ray.tune.search import ConcurrencyLimiter
  import unittest
label_desc: Use image node_id 1 for calling a global function with example usage: loss(config) without return types