code: def test_progress_2():
      ppn = Perceptron(
          epochs=15, eta=0.01, random_seed=1, print_progress=2
      )
      ppn = ppn.fit(X_std, y0)
  
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 5 for calling a global function with example usage: test_progress_2() without return types