code: def rvs_kernel(sample, size, bw=1, k_func=None, return_extras=False):
      """Random sampling from empirical copula using Beta distribution
  
      Parameters
      ----------
      sample : ndarray
          Sample of multivariate observations in (o, 1) interval.
      size : int
          Number of observations to simulate.
      bw : float
          Bandwidth for Beta sampling. The beta copula corresponds to a kernel
          estimate of the distribution. bw=1 corresponds to the empirical beta
          copula. A small bandwidth like bw=0.001 corresponds to small noise
          added to the empirical distribution. Larger bw, e.g. bw=10 corresponds
          to kernel estimate with more smoothing.
      k_func : None or callable
          The default kernel function is currently a beta function with 1 added
          to the first beta parameter.
      return_extras : bool
          If this is False, then only the random sample will be returned.
          If true, then extra information is returned that is mainly of interest
          for verification.
  
      Returns
      -------
      rvs : ndarray
          Multivariate sample with ``size`` observations drawn from the Beta
          Copula.
  
      Notes
      -----
      Status: experimental, API will change.
      """
      # vectorized for observations
      n = sample.shape[0]
      if k_func is None:
          kfunc = _kernel_rvs_beta1
      idx = np.random.randint(0, n, size=size)
      xi = sample[idx]
      krvs = np.column_stack([kfunc(xii, bw) for xii in xi.T])
  
      if return_extras:
          return krvs, idx, xi
      else:
          return krvs
  
file_path: statsmodels/statsmodels/distributions/copula/other_copulas.py
imports: import numpy
  from scipy import stats
  from statsmodels.tools.rng_qrng import check_random_state
  from statsmodels.distributions.copula.copulas import Copula
label_desc: Use image node_id 1 for calling a global function with example usage: rvs_kernel(sample, size, bw, k_func, return_extras) and returns: krvs,  idx,  xi, krvs