code: def controlled_addition(s):
      """CX gate.
  
      Args:
          s (float): gate parameter
  
      Returns:
          array: symplectic transformation matrix
      """
      S = np.array(
          [[1, 0, 0, 0], [s, 1, 0, 0], [0, 0, 1, -s], [0, 0, 0, 1]]
      )
  
      return S
  
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 9 for calling a global function with example usage: controlled_addition(s) and returns: S