code: def get_indices_sparse(self, data):
      # Magic, vectorized sparse matrix calculation method to replace np.where
      # https://stackoverflow.com/questions/33281957/faster-alternative-to-numpy-where
  
      M = self.compute_M(data)
      return [np.unravel_index(row.data, data.shape) for row in M]
  
imports: import numpy
  from random import shuffle
  from scipy.sparse import csr_matrix
  from deepneuro.utilities.util import add_parameter
  from deepneuro.augmentation.augment import Augmentation
label_desc: Use image node_id 8 for calling the ExtractPatches obj's underlying member method code with example usage: obj.get_indices_sparse(data) and returns: unknown