code: def setUp(self):
      self.corpus = mmcorpus.MmCorpus(datapath("testcorpus.mm"))
      # Choose doc to be normalized. [3] chosen to demonstrate different results for l1 and l2 norm.
      # doc is [(1, 1.0), (5, 2.0), (8, 1.0)]
      self.doc = list(self.corpus)[3]
      self.model_l1 = normmodel.NormModel(self.corpus, norm="l1")
      self.model_l2 = normmodel.NormModel(self.corpus, norm="l2")
  
imports: import logging
  import unittest
  import numpy
  from scipy.sparse import csr_matrix
  from scipy.sparse import issparse
  from gensim.corpora import mmcorpus
  from gensim.models import normmodel
  from gensim.test.utils import datapath, get_tmpfile
label_desc: Use image node_id 1 for calling the TestNormModel obj's underlying member method code with example usage: obj.setUp() without return types