parameters: (self, size=None)
return_statement: return np.random.laplace(self.loc, self.scale, size)
docstring: r"""Generate samples of `size` from the normal distribution
          parameterized by `self._loc` and `self._scale`
  
          Parameters
          ----------
          size : Tuple, Scalar, or None
              Size of samples to be generated. If size=None, the output shape
              will be `broadcast(loc, scale).shape`
  
          Returns
          -------
          Tensor
              Samples from Normal distribution.
docstring_summary: r"""Generate samples of `size` from the normal distribution
          parameterized by `self._loc` and `self._scale`
docstring_tokens: r Generate samples of size from the normal distribution parameterized by self . _loc and self . _scale
function: def sample(self, size=None):
          r"""Generate samples of `size` from the normal distribution
          parameterized by `self._loc` and `self._scale`
  
          Parameters
          ----------
          size : Tuple, Scalar, or None
              Size of samples to be generated. If size=None, the output shape
              will be `broadcast(loc, scale).shape`
  
          Returns
          -------
          Tensor
              Samples from Normal distribution.
          """
          return np.random.laplace(self.loc, self.scale, size)
function_tokens: def sample ( self , size = None ) : return np . random . laplace ( self . loc , self . scale , size )