code: def test_wrong_feature_range():
      knn = KNeighborsClassifier()
      expect = "k_features tuple min value must be between len(fixed_features) and X.shape[1]."
      sfs = SFS(knn, k_features=(1, 3), fixed_features=(1, 3))
      assert_raises(AttributeError, expect, sfs.fit, X=X_iris, y=y_iris)
  
file_path: mlxtend/mlxtend/feature_selection/tests/test_sequential_feature_selector_fixed_features.py
imports: import pandas
  from sklearn.datasets import load_iris
  from sklearn.neighbors import KNeighborsClassifier
  from mlxtend.feature_selection import SequentialFeatureSelector
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 11 for calling a global function with example usage: test_wrong_feature_range() without return types