code: def squeezed_state(r, phi, hbar=2.0):
      r"""Returns a squeezed state.
  
      Args:
          r (float): the squeezing magnitude
          phi (float): the squeezing phase :math:`\phi`
          hbar (float): (default 2) the value of :math:`\hbar` in the commutation
              relation :math:`[\x,\p]=i\hbar`
  
      Returns:
          array: the squeezed state
      """
      means = np.zeros((2))
      state = [squeezed_cov(r, phi, hbar), means]
      return state
  
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 15 for calling a global function with example usage: squeezed_state(r, phi, hbar) and returns: state