code: def test_transforms_other():
      a = sklearn.feature_extraction.text.HashingVectorizer()
      b = dask_ml.feature_extraction.text.HashingVectorizer()
  
      X_a = a.fit_transform(JUNK_FOOD_DOCS)
      X_b = b.fit_transform(JUNK_FOOD_DOCS)
      assert_estimator_equal(a, b)
  
      np.testing.assert_array_equal(X_a.toarray(), X_b.toarray())
  
file_path: dask-ml/tests/feature_extraction/test_text.py
imports: import dask.array
  import dask.bag
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  import scipy.sparse
  import sklearn.feature_extraction.text
  from distributed import Client
  import dask_ml.feature_extraction.text
  from dask_ml._compat import dummy_context
  from dask_ml.utils import assert_estimator_equal
label_desc: Use image node_id 3 for calling a global function with example usage: test_transforms_other() without return types