code: def test_fit_length_1_sequences(self, implementation):
      sequences1, lengths1 = self.get_from_one_beal(7, 100, 1984)
  
      # Include some length 1 sequences
      sequences2, lengths2 = self.get_from_one_beal(1, 1, 1984)
      sequences = np.concatenate([sequences1, sequences2])
      lengths = np.concatenate([lengths1, lengths2])
  
      model = vhmm.VariationalCategoricalHMM(
          4,
          n_iter=500,
          random_state=1984,
          implementation=implementation,
      )
      assert_log_likelihood_increasing(model, sequences, lengths, 10)
  
file_path: hmmlearn/lib/hmmlearn/tests/test_variational_categorical.py
imports: import numpy
  import pytest
  from sklearn.utils import check_random_state
  from hmmlearn import hmm, vhmm
  from .None import assert_log_likelihood_increasing, compare_variational_and_em_models, vi_uniform_startprob_and_transmat
label_desc: Use image node_id 9 for calling the TestVariationalCategorical obj's underlying member method code with example usage: obj.test_fit_length_1_sequences(implementation) without return types