code: def laplace(
      loc=0.0, scale=1.0, size=None, dtype=None, device=None, out=None
  ):
      r"""Draw random samples from a Laplace distribution.
  
      Samples are distributed according to a Laplace distribution parametrized
      by *loc* (mean) and *scale* (the exponential decay).
  
      Parameters
      ----------
      loc : float, The position of the distribution peak.
  
      scale : float, the exponential decay.
  
      size : int or tuple of ints, optional. Output shape.
          If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn.
          Default is None, in which case a single value is returned.
  
      dtype : {'float16', 'float32', 'float64'}, optional
          Data type of output samples. Default is 'float32'
      device : Device, optional
          Device context of output. Default is current device.
      out : ``ndarray``, optional
          Store output to an existing ``ndarray``.
  
      Returns
      -------
      out : ndarray
          Drawn samples from the parameterized Laplace distribution.
      """
      return _mx_nd_np.random.laplace(
          loc, scale, size, dtype, device, out
      )
  
imports: from ..ndarray import numpy
  from ..random import seed
  from ..util import wrap_ctx_to_device_func
label_desc: Use image node_id 22 for calling a global function with example usage: laplace(loc, scale, size, dtype, device, out) and returns: _mx_nd_np