code: def get_base_distributions(
      distributions: Dict[str, Distribution]
  ) -> dict:
      """Returns the distributions from the base libraries.
      Distributions are of types that can be used with scikit-learn `ParamSampler`
      """
      return {
          k: (v.get_base() if isinstance(v, Distribution) else v)
          for k, v in distributions.items()
      }
  
imports: from typing import Dict, Optional
  from scipy.stats import loguniform, randint, uniform
  from copy import copy
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: get_base_distributions(distributions) and returns: unknown