code: def draw_samples(self, num_samples: int) -> np.ndarray:
      if self._gmm_model is None:
          raise RuntimeError(
              "%s has not been fitted!" % self.__class__.__name__
          )
  
      return shape_into_2d(self._gmm_model.sample(num_samples)[0])
  
imports: import warnings
  from typing import Dict, Optional, Tuple, Union
  import numpy
  import scipy
  from scipy.stats import norm, rv_continuous, rv_discrete
  from sklearn.cluster import KMeans
  from sklearn.metrics import silhouette_score
  from sklearn.mixture import BayesianGaussianMixture
  from dowhy.gcm.causal_mechanisms import StochasticModel
  from dowhy.gcm.util.general import shape_into_2d
label_desc: Use image node_id 4 for calling the BayesianGaussianMixtureDistribution obj's underlying member method code with example usage: obj.draw_samples(num_samples) and returns: shape_into_2d