code: def test_sample(model):
      torch.manual_seed(0)
  
      X = model.sample(1)
      assert_array_almost_equal(X, [[7.367485, 0.369115, 0.061504]])
  
      X = model.sample(5)
      assert_array_almost_equal(
          X,
          [
              [0.9082, 0.2612, 0.0340],
              [1.2255, 2.7453, 2.5202],
              [2.0425, 0.1972, 0.0581],
              [1.0984, 0.0690, 0.1094],
              [3.2267, 0.0709, 0.1129],
          ],
          3,
      )
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.gmm import GeneralMixtureModel
  from pomegranate.distributions import Exponential
  from .distributions._utils import _test_initialization_raises_one_parameter
  from .distributions._utils import _test_initialization
  from .distributions._utils import _test_predictions
  from .distributions._utils import _test_efd_from_summaries
  from .distributions._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(model) without return types