code: def test_attributes_interval_feature_extractor(
      params, interval_indices_shape, min_subsequence_size
  ):
      """Test the attributes of a fitted instance of IntervalFeatureExtractor."""
      feature_extractor = IntervalFeatureExtractor(**params)
      feature_extractor.fit(X_arange, y)
      assert (
          feature_extractor.interval_indices_.shape
          == interval_indices_shape
      )
      assert (
          feature_extractor.min_subsequence_size_
          == min_subsequence_size
      )
  
file_path: pyts/pyts/classification/tests/test_tsbf.py
imports: import numpy
  import pytest
  import re
  from pyts.classification import TSBF
  from pyts.classification.tsbf import IntervalFeatureExtractor
  from pyts.classification.tsbf import extract_features, histogram
  from sklearn.tree import DecisionTreeClassifier
label_desc: Use image node_id 6 for calling a global function with example usage: test_attributes_interval_feature_extractor(params, interval_indices_shape, min_subsequence_size) without return types