code: def test_integers(X_sparse):
      n_samples = X_sparse.shape[0]
      Xint = X_sparse.astype(np.int64)
      tsvd = TruncatedSVD(n_components=6)
      Xtrans = tsvd.fit_transform(Xint)
      assert Xtrans.shape == (n_samples, tsvd.n_components)
  
file_path: scikit-learn/sklearn/decomposition/tests/test_truncated_svd.py
imports: import numpy
  import pytest
  import scipy.sparse
  from sklearn.decomposition import PCA, TruncatedSVD
  from sklearn.utils import check_random_state
  from sklearn.utils._testing import assert_allclose, assert_array_less
label_desc: Use image node_id 7 for calling a global function with example usage: test_integers(X_sparse) without return types