code: def normalize(data, wrt):
      """Normalize data to be in range (0,1), with respect to (wrt) boundaries,
      which can be specified.
      """
      return (data - np.min(wrt, axis=0)) / (
          np.max(wrt, axis=0) - np.min(wrt, axis=0) + 1e-8
      )
  
file_path: orion/src/orion/algo/pbt/pb2_utils.py
imports: from copy import deepcopy
  import numpy
  from scipy.optimize import minimize
  from sklearn.metrics import euclidean_distances, pairwise_distances
  from orion.core.utils.module_import import ImportOptional
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(data, wrt) and returns: unknown