code: def test_nmf_inverse_transform(solver):
      # Test that NMF.inverse_transform returns close values
      random_state = np.random.RandomState(0)
      A = np.abs(random_state.randn(6, 4))
      m = NMF(
          solver=solver,
          n_components=4,
          init="random",
          random_state=0,
          max_iter=1000,
      )
      ft = m.fit_transform(A)
      A_new = m.inverse_transform(ft)
      assert_array_almost_equal(A, A_new, decimal=2)
  
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 12 for calling a global function with example usage: test_nmf_inverse_transform(solver) without return types