code: def test_crf(xseq, yseq, algorithm):
      crf = CRF(algorithm)
      crf.fit([xseq], [yseq])
  
      y_pred = crf.predict([xseq])
      if (
          algorithm != "ap"
      ):  # Averaged Perceptron is regularized too much
          assert y_pred == [yseq]
  
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 1 for calling a global function with example usage: test_crf(xseq, yseq, algorithm) without return types