code: def test_normalize_estimator():
      m1 = sklearn.linear_model.LogisticRegression(solver="lbfgs")
      m2 = sklearn.linear_model.LogisticRegression(solver="lbfgs")
  
      assert dask.base.tokenize(m1) == dask.base.tokenize(m2)
      m1.fit(*sklearn.datasets.make_classification())
      m2.fit(*sklearn.datasets.make_classification())
  
      assert dask.base.tokenize(m1) != dask.base.tokenize(m2)
  
imports: import dask
  import sklearn.datasets
  import sklearn.linear_model
  import sklearn.model_selection
  import dask_ml
label_desc: Use image node_id 1 for calling a global function with example usage: test_normalize_estimator() without return types