code: def get_zscores(cov_00, cov_01, cov_11, potato):
      cov = np.array([[cov_00, cov_01], [cov_01, cov_11]])
      with np.testing.suppress_warnings() as sup:
          sup.filter(RuntimeWarning)
          return potato.transform(cov[np.newaxis, ...])
  
file_path: pyRiemann/examples/artifacts/plot_detect_riemannian_potato_EEG.py
imports: from functools import partial
  import os
  import numpy
  from matplotlib import pyplot
  from matplotlib.animation import FuncAnimation
  from mne.datasets import sample
  from mne.io import read_raw_fif
  from mne import make_fixed_length_epochs
  from pyriemann.estimation import Covariances
  from pyriemann.clustering import Potato
  from pyriemann.utils.viz import _add_alpha
label_desc: Use image node_id 1 for calling a global function with example usage: get_zscores(cov_00, cov_01, cov_11, potato) and returns: potato