code: def test_nmf_transform(solver):
      # Test that fit_transform is equivalent to fit.transform for NMF
      # Test that NMF.transform returns close values
      rng = np.random.mtrand.RandomState(42)
      A = np.abs(rng.randn(6, 5))
      m = NMF(
          solver=solver,
          n_components=3,
          init="random",
          random_state=0,
          tol=1e-6,
      )
      ft = m.fit_transform(A)
      t = m.transform(A)
      assert_allclose(ft, t, atol=1e-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 9 for calling a global function with example usage: test_nmf_transform(solver) without return types