code: def test_ary_persistency_in_shuffling():
      orig = X_rm_lstat_std.copy()
      sgd_lr = LinearRegression(
          method="sgd",
          eta=0.0001,
          epochs=500,
          minibatches=len(y),
          random_seed=0,
      )
      sgd_lr.fit(X_rm_lstat_std, y_std)
      np.testing.assert_almost_equal(orig, X_rm_lstat_std, 6)
  
imports: import numpy
  from numpy.testing import assert_almost_equal
  from sklearn.base import clone
  from mlxtend.data import boston_housing_data
  from mlxtend.regressor import LinearRegression
label_desc: Use image node_id 13 for calling a global function with example usage: test_ary_persistency_in_shuffling() without return types