code: def test_generate_sample_less_arg(
      self, random_state, sample_discrete
  ):
      model = MC(["a", "b"], [2, 2])
      model.transition_models["a"] = {
          0: {0: 0.1, 1: 0.9},
          1: {0: 0.2, 1: 0.8},
      }
      model.transition_models["b"] = {
          0: {0: 0.3, 1: 0.7},
          1: {0: 0.4, 1: 0.6},
      }
      random_state.return_value = [State("a", 0), State("b", 1)]
      sample_discrete.side_effect = [[1], [0]] * 2
      gen = model.generate_sample(size=2)
      samples = [sample for sample in gen]
      expected_samples = [[State("a", 1), State("b", 0)]] * 2
      self.assertEqual(samples, expected_samples)
  
imports: import sys
  import unittest
  import numpy
  from mock import call, patch
  from pandas import DataFrame
  from pgmpy.factors.discrete import State
  from pgmpy.models import MarkovChain
label_desc: Use image node_id 30 for calling the TestMarkovChain obj's underlying member method code with example usage: obj.test_generate_sample_less_arg(random_state, sample_discrete) without return types