code: def test_attributes(xseq, yseq):
      crf = CRF()
      assert crf.tagger_ is None
      assert crf.size_ is None
      assert crf.classes_ is None
      assert crf.num_attributes_ is None
      assert crf.attributes_ is None
      assert crf.state_features_ is None
      assert crf.transition_features_ is None
  
      crf.fit([xseq] * 20, [yseq] * 20)
  
      assert crf.tagger_ is not None
      assert crf.size_ > 1000
      assert set(crf.classes_) == {"sunny", "rainy"}
  
      assert crf.num_attributes_ > 0
      assert len(crf.attributes_) == crf.num_attributes_
      assert all(crf.attributes_)
      assert "clean" in crf.attributes_
  
      assert len(crf.state_features_) > 0
      assert all(
          isinstance(c, float) for c in crf.state_features_.values()
      )
      assert all(
          attr in crf.attributes_ and label in crf.classes_
          for (attr, label) in crf.state_features_.keys()
      ), crf.state_features_
  
      assert len(crf.transition_features_) > 0
      assert all(
          isinstance(c, float)
          for c in crf.transition_features_.values()
      )
      assert all(
          label_from in crf.classes_ and label_to in crf.classes_
          for (label_from, label_to) in crf.transition_features_.keys()
      ), crf.transition_features_
  
file_path: sklearn-crfsuite/tests/test_crf.py
imports: import os
  import pickle
  import pytest
  from sklearn.model_selection import cross_val_score
  from sklearn_crfsuite import CRF
label_desc: Use image node_id 10 for calling a global function with example usage: test_attributes(xseq, yseq) without return types