code: def arr_unique(arr):
      aux = np.sort(arr)
      flag = np.concatenate(
          (np.ones(1, dtype=np.bool_), aux[1:] != aux[:-1])
      )
      return aux[flag]
  
imports: from __future__ import print_function
  import locale
  import numpy
  import numba
  from pynndescent.utils import norm, tau_rand
  from pynndescent.distances import kantorovich, jensen_shannon_divergence, symmetric_kl_divergence
label_desc: Use image node_id 2 for calling a global function with example usage: arr_unique(arr) and returns: aux