code: def zNormalizeEuclidian(tsA, tsB):
      """
      Returns the z-normalized Euclidian distance between two time series.
  
      Parameters
      ----------
      tsA: Time series #1
      tsB: Time series #2
      """
  
      if len(tsA) != len(tsB):
          raise ValueError("tsA and tsB must be the same length")
  
      return np.linalg.norm(
          zNormalize(tsA.astype("float64"))
          - zNormalize(tsB.astype("float64"))
      )
  
file_path: matrixprofile-ts/matrixprofile/utils.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import numpy
  import numpy.fft
label_desc: Use image node_id 2 for calling a global function with example usage: zNormalizeEuclidian(tsA, tsB) and returns: np