code: def test_nmf_fit_close(Estimator, solver):
      rng = np.random.mtrand.RandomState(42)
      # Test that the fit is not too far away
      pnmf = Estimator(
          5,
          init="nndsvdar",
          random_state=0,
          max_iter=600,
          **solver,
      )
      X = np.abs(rng.randn(6, 5))
      assert pnmf.fit(X).reconstruction_err_ < 0.1
  
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 7 for calling a global function with example usage: test_nmf_fit_close(Estimator, solver) without return types