code: def test_ary_persistency_in_shuffling():
      orig = X.copy()
      lr = LogisticRegression(
          eta=0.01,
          epochs=100,
          minibatches=len(y),
          l2_lambda=1.0,
          random_seed=1,
      )
      lr.fit(X, y)
      np.testing.assert_almost_equal(orig, X, 6)
  
imports: import sys
  import numpy
  from sklearn.base import clone
  from mlxtend.classifier import LogisticRegression
  from mlxtend.data import iris_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 13 for calling a global function with example usage: test_ary_persistency_in_shuffling() without return types