code: def test_print_progress_3():
      km = Kmeans(k=3, max_iter=50, random_seed=1, print_progress=3)
      km.fit(X)
  
file_path: mlxtend/mlxtend/cluster/tests/test_kmeans.py
imports: import numpy
  from sklearn.base import clone
  from mlxtend.cluster import Kmeans
  from mlxtend.data import three_blobs_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 5 for calling a global function with example usage: test_print_progress_3() without return types