code: def analyze_renyi(
      q: float,
      noise_multiplier: float,
      steps: int,
      orders: Union[float, Tuple[float, ...]],
  ):
      """Compute RDP of the Sampled Gaussian Mechanism.
  
      Args:
        q: The sampling rate.
        noise_multiplier: The ratio of the standard deviation of the Gaussian noise
          to the l2-sensitivity of the function to which it is added.
        steps: The number of steps.
        orders: An array (or a scalar) of RDP orders.
  
      Returns:
        The RDPs at all orders. Can be `np.inf`.
      """
      if np.isscalar(orders):
          rdp = _analyze_renyi(q, noise_multiplier, orders)
      else:
          rdp = np.array(
              [
                  _analyze_renyi(q, noise_multiplier, order)
                  for order in orders
              ]
          )
  
      return rdp * steps
  
imports: import math
  from typing import Tuple, Union
  import numpy
  from scipy import special
  import six
label_desc: Use image node_id 14 for calling a global function with example usage: analyze_renyi(q, noise_multiplier, steps, orders) and returns: unknown