code: def test_check_x_y_converts_numpy_to_pandas():
      a2D = np.array([[1, 2], [3, 4], [3, 4], [3, 4]])
      df_2D = pd.DataFrame(a2D, columns=["x0", "x1"])
  
      a1D = np.array([1, 2, 3, 4])
      s = pd.Series(a1D)
  
      x, y = check_X_y(df_2D, s)
      assert_frame_equal(df_2D, x)
      assert_series_equal(s, y)
  
imports: import numpy
  import pandas
  import pytest
  from pandas.testing import assert_frame_equal, assert_series_equal
  from scipy.sparse import csr_matrix
  from feature_engine.dataframe_checks import _check_contains_inf, _check_contains_na, _check_X_matches_training_df, check_X, check_X_y, check_y
label_desc: Use image node_id 15 for calling a global function with example usage: test_check_x_y_converts_numpy_to_pandas() without return types