code: def test_none_iter():
      # Check that the all samples were labeled after a 'reasonable' number of
      # iterations.
      st = SelfTrainingClassifier(
          KNeighborsClassifier(), threshold=0.55, max_iter=None
      )
      st.fit(X_train, y_train_missing_labels)
  
      assert st.n_iter_ < 10
      assert st.termination_condition_ == "all_labeled"
  
imports: from math import ceil
  import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from sklearn.datasets import load_iris, make_blobs
  from sklearn.ensemble import StackingClassifier
  from sklearn.exceptions import NotFittedError
  from sklearn.metrics import accuracy_score
  from sklearn.model_selection import train_test_split
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.semi_supervised import SelfTrainingClassifier
  from sklearn.svm import SVC
label_desc: Use image node_id 5 for calling a global function with example usage: test_none_iter() without return types