code: def test_NMF_inverse_transform_W_deprecation():
      rng = np.random.mtrand.RandomState(42)
      A = np.abs(rng.randn(6, 5))
      est = NMF(
          n_components=3,
          init="random",
          random_state=0,
          tol=1e-6,
      )
      Xt = est.fit_transform(A)
  
      with pytest.raises(
          TypeError, match="Missing required positional argument"
      ):
          est.inverse_transform()
  
      with pytest.raises(ValueError, match="Please provide only"):
          est.inverse_transform(Xt=Xt, W=Xt)
  
      with warnings.catch_warnings(record=True):
          warnings.simplefilter("error")
          est.inverse_transform(Xt)
  
      with pytest.warns(
          FutureWarning, match="Input argument `W` was renamed to `Xt`"
      ):
          est.inverse_transform(W=Xt)
  
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 35 for calling a global function with example usage: test_NMF_inverse_transform_W_deprecation() without return types