code: def set_state(state, wire, cov, mu):
      r"""Inserts a single mode Gaussian into the
      state representation of the complete system.
  
      Args:
          state (tuple): contains covariance matrix
              and means vector of existing state
          wire (Wires): wire corresponding to the new Gaussian state
          cov (array): covariance matrix to insert
          mu (array): vector of means to insert
  
      Returns:
          tuple: contains the vector of means and covariance matrix.
      """
      cov0 = state[0]
      mu0 = state[1]
      N = len(mu0) // 2
  
      # insert the new state into the means vector
      mu0[[wire[0], wire[0] + N]] = mu
  
      # insert the new state into the covariance matrix
      ind = np.concatenate([wire.toarray(), wire.toarray() + N])
      rows = ind.reshape(-1, 1)
      cols = ind.reshape(1, -1)
      cov0[rows, cols] = cov
  
      return cov0, mu0
  
imports: import math
  import cmath
  import numpy
  from scipy.special import factorial
  import pennylane
  from pennylane.ops import Identity
  from pennylane import Device
  from .._version import __version__
label_desc: Use image node_id 19 for calling a global function with example usage: set_state(state, wire, cov, mu) and returns: cov0,  mu0