code: def q1_choice():
      o_x = hp.choice(
          "o_x",
          [
              (-3, hp.uniform("x_neg", -5, 5)),
              (3, hp.uniform("x_pos", -5, 5)),
          ],
      )
      return {"loss": (o_x[0] - o_x[1]) ** 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 4 for calling a global function with example usage: q1_choice() and returns: dict