code: def test_sample(probs):
      torch.manual_seed(0)
  
      X = JointCategorical(probs).sample(1)
      assert_array_almost_equal(X, [[1, 2, 1]])
  
      X = JointCategorical(probs).sample(5)
      assert_array_almost_equal(
          X, [[1, 1, 0], [0, 2, 1], [1, 2, 1], [1, 0, 1], [1, 1, 1]], 3
      )
  
imports: import numpy
  import torch
  import pytest
  from pomegranate.distributions import JointCategorical
  from ._utils import _test_initialization_raises_one_parameter
  from ._utils import _test_initialization
  from ._utils import _test_predictions
  from ._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 9 for calling a global function with example usage: test_sample(probs) without return types