code: def quadratic1():
      """
      About the simplest problem you could ask for:
      optimize a one-variable quadratic function.
      """
      return {
          "loss": (hp.uniform("x", -5, 5) - 3) ** 2,
          "status": base.STATUS_OK,
      }
  
imports: import unittest
  import numpy
  from hyperopt import Trials, Domain, fmin, hp, base
  from hyperopt.rand import suggest
  from hyperopt.pyll import as_apply
  from hyperopt.pyll import scope
label_desc: Use image node_id 3 for calling a global function with example usage: quadratic1() and returns: dict