code: def test_minibatch_nmf_verbose():
      # Check verbose mode of MiniBatchNMF for better coverage.
      A = np.random.RandomState(0).random_sample((100, 10))
      nmf = MiniBatchNMF(tol=1e-2, random_state=0, verbose=1)
      old_stdout = sys.stdout
      sys.stdout = StringIO()
      try:
          nmf.fit(A)
      finally:
          sys.stdout = old_stdout
  
imports: import re
  import sys
  import warnings
  from io import StringIO
  import numpy
  import pytest
  from scipy import linalg
  from sklearn.base import clone
  from sklearn.decomposition import NMF, MiniBatchNMF, non_negative_factorization
  from sklearn.decomposition import _nmf
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.utils._testing import assert_allclose, assert_almost_equal, assert_array_almost_equal, assert_array_equal, ignore_warnings
  from sklearn.utils.extmath import squared_norm
  from sklearn.utils.fixes import CSC_CONTAINERS, CSR_CONTAINERS
label_desc: Use image node_id 34 for calling a global function with example usage: test_minibatch_nmf_verbose() without return types