code: def test__check_and_set_categorical_n_features(self, implementation):
      h = self.new_hmm(implementation)
      h._check_and_set_n_features(np.array([[0, 0, 2, 1, 3, 1, 1]]).T)
      h._check_and_set_n_features(np.array([[0, 0, 1, 3, 1]], np.uint8))
      with pytest.raises(ValueError):  # non-integral
          h._check_and_set_n_features(np.array([[0.0, 2.0, 1.0, 3.0]]))
      with pytest.raises(ValueError):  # negative integers
          h._check_and_set_n_features(np.array([[0, -2, 1, 3, 1, 1]]))
  
imports: import numpy
  from numpy.testing import assert_allclose
  import pytest
  from hmmlearn import hmm
  from .None import assert_log_likelihood_increasing, normalized
label_desc: Use image node_id 9 for calling the TestCategoricalHMM obj's underlying member method code with example usage: obj.test__check_and_set_categorical_n_features(implementation) without return types