code: def test_initialize_close():
      # Test NNDSVD error
      # Test that _initialize_nmf error is less than the standard deviation of
      # the entries in the matrix.
      rng = np.random.mtrand.RandomState(42)
      A = np.abs(rng.randn(10, 10))
      W, H = nmf._initialize_nmf(A, 10, init="nndsvd")
      error = linalg.norm(np.dot(W, H) - A)
      sdev = linalg.norm(A - A.mean())
      assert error <= sdev
  
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 4 for calling a global function with example usage: test_initialize_close() without return types