code: def test_normalize_op():
      with pytest.raises(ValueError):
          normalize(mt.random.random(10, 3), norm="unknown")
  
      with pytest.raises(ValueError):
          normalize(mt.random.random(10, 3), axis=-1)
  
      with pytest.raises(ValueError):
          normalize(mt.random.rand(10, 3, 3))
  
file_path: mars/mars/learn/preprocessing/tests/test_normalize.py
imports: import numpy
  import scipy.sparse
  import pytest
  from sklearn.preprocessing import normalize
  from ....None import tensor
  from ..None import normalize
label_desc: Use image node_id 1 for calling a global function with example usage: test_normalize_op() without return types