code: def test_bag():
      x = db.from_sequence(range(10), npartitions=2)
      vect = dask_ml.feature_extraction.text.HashingVectorizer()
      vect = fit(vect, x, None)
      y = vect.transform(x)
      assert y.shape[1] == vect.n_features
  
imports: import dask
  import dask.array
  import dask.bag
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  from dask.delayed import Delayed
  from sklearn.base import clone
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.linear_model import SGDClassifier
  import dask_ml.feature_extraction.text
  from dask_ml._partial import fit, predict
  from dask_ml.datasets import make_classification
  from dask_ml.wrappers import Incremental
label_desc: Use image node_id 6 for calling a global function with example usage: test_bag() without return types