code: def scale_standardize(vec, terms=None, other_vec=None):
      to_ret = (vec - vec.mean()) / vec.std()
      to_ret += to_ret.min() + 1
      # to_ret = np.log(to_ret)/np.log(2)
      to_ret += to_ret.min()
      return to_ret
  
imports: from typing import Callable
  import numpy
  import pandas
  from scipy.stats import rankdata
label_desc: Use image node_id 12 for calling a global function with example usage: scale_standardize(vec, terms, other_vec) and returns: to_ret