code: def test_same_values(random_xy_dataset_regr):
      X, y = random_xy_dataset_regr
      X_new = IdentityTransformer(check_X=True).fit_transform(X)
      assert np.isclose(X, X_new).all()
  
file_path: scikit-lego/tests/test_preprocessing/test_identitytransformer.py
imports: import numpy
  import pytest
  from sklego.common import flatten
  from sklego.preprocessing import IdentityTransformer
  from tests.conftest import general_checks, nonmeta_checks, select_tests, transformer_checks
label_desc: Use image node_id 2 for calling a global function with example usage: test_same_values(random_xy_dataset_regr) without return types