code: def _hp_dict_to_parametrization(x):
      if isinstance(x, dict) and ("args" in x) and ("kwargs" in x):
          x["args"] = tuple(
              [
                  _hp_dict_to_parametrization(x["args"][str(i)])
                  for i in range(len(x["args"]))
              ]
          )
          x["kwargs"] = {
              k: _hp_dict_to_parametrization(v)
              for k, v in x["kwargs"].items()
          }
          return (x["args"], x["kwargs"])
      return x
  
imports: import numpy
  from .None import base
  from .base import IntOrParameter
  import nevergrad.common.typing
  from nevergrad.parametrization import transforms
  from nevergrad.parametrization import parameter
  import hyperopt
  from hyperopt import hp, Trials, Domain, tpe
label_desc: Use image node_id 2 for calling a global function with example usage: _hp_dict_to_parametrization(x) and returns: x, x,  x