code: def test_incremental_pca_feature_names_out():
      """Check feature names out for IncrementalPCA."""
      ipca = IncrementalPCA(n_components=2).fit(iris.data)
  
      names = ipca.get_feature_names_out()
      assert_array_equal(
          [f"incrementalpca{i}" for i in range(2)], names
      )
  
imports: import warnings
  import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from sklearn import datasets
  from sklearn.decomposition import PCA, IncrementalPCA
  from sklearn.utils._testing import assert_allclose_dense_sparse, assert_almost_equal, assert_array_almost_equal
  from sklearn.utils.fixes import CSC_CONTAINERS, CSR_CONTAINERS, LIL_CONTAINERS
label_desc: Use image node_id 21 for calling a global function with example usage: test_incremental_pca_feature_names_out() without return types