code: def test_cartesian_mix_types(arrays, output_dtype):
      """Check that the cartesian product works with mixed types."""
      output = cartesian(arrays)
  
      assert output.dtype == output_dtype
  
imports: import numpy
  import pytest
  from scipy import linalg, sparse
  from scipy.linalg import eigh
  from scipy.sparse.linalg import eigsh
  from scipy.special import expit
  from sklearn.datasets import make_low_rank_matrix, make_sparse_spd_matrix
  from sklearn.utils import gen_batches
  from sklearn.utils._arpack import _init_arpack_v0
  from sklearn.utils._testing import assert_allclose, assert_allclose_dense_sparse, assert_almost_equal, assert_array_almost_equal, assert_array_equal, skip_if_32bit
  from sklearn.utils.extmath import _deterministic_vector_sign_flip, _incremental_mean_and_var, _randomized_eigsh, _safe_accumulator_op, cartesian, density, log_logistic, randomized_svd, row_norms, safe_sparse_dot, softmax, stable_cumsum, svd_flip, weighted_mode
  from sklearn.utils.fixes import COO_CONTAINERS, CSC_CONTAINERS, CSR_CONTAINERS, DOK_CONTAINERS, LIL_CONTAINERS, _mode
label_desc: Use image node_id 20 for calling a global function with example usage: test_cartesian_mix_types(arrays, output_dtype) without return types