code: def test_nonstandardized_iris_data():
      ppn = Perceptron(epochs=100, eta=0.01, random_seed=1)
      ppn = ppn.fit(X, y0)
      assert (y0 == ppn.predict(X)).all()
  
file_path: mlxtend/mlxtend/classifier/tests/test_perceptron.py
imports: import sys
  import numpy
  from sklearn.base import clone
  from mlxtend.classifier import Perceptron
  from mlxtend.data import iris_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 8 for calling a global function with example usage: test_nonstandardized_iris_data() without return types