code: def test_n_components_greater_n_features(Estimator):
      # Smoke test for the case of more components than features.
      rng = np.random.mtrand.RandomState(42)
      A = np.abs(rng.randn(30, 10))
      Estimator(n_components=15, random_state=0, tol=1e-2).fit(A)
  
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 14 for calling a global function with example usage: test_n_components_greater_n_features(Estimator) without return types