code: def pow(base, z=1, lazy=True, id=None):
      """Raise an Operator to a power.
  
      Args:
          base (~.operation.Operator): the operator to be raised to a power
          z (float): the exponent (default value is 1)
  
      Keyword Args:
          lazy=True (bool): In lazy mode, all operations are wrapped in a ``Pow`` class
              and handled later. If ``lazy=False``, operation-specific simplifications are first attempted.
          id (str): custom label given to an operator instance,
              can be useful for some applications where the instance has to be identified
  
      Returns:
          Operator
  
      .. note::
  
          This operator supports a batched base, a batched coefficient and a combination of both:
  
          >>> op = qml.pow(qml.RX([1, 2, 3], wires=0), z=4)
          >>> qml.matrix(op).shape
          (3, 2, 2)
          >>> op = qml.pow(qml.RX(1, wires=0), z=[1, 2, 3])
          >>> qml.matrix(op).shape
          (3, 2, 2)
          >>> op = qml.pow(qml.RX([1, 2, 3], wires=0), z=[4, 5, 6])
          >>> qml.matrix(op).shape
          (3, 2, 2)
  
          But it doesn't support batching of operators:
  
          >>> op = qml.pow([qml.RX(1, wires=0), qml.RX(2, wires=0)], z=4)
          AttributeError: 'list' object has no attribute 'name'
  
      .. seealso:: :class:`~.Pow`, :meth:`~.Operator.pow`.
  
      **Example**
  
      >>> qml.pow(qml.PauliX(0), 0.5)
      PauliX(wires=[0])**0.5
      >>> qml.pow(qml.PauliX(0), 0.5, lazy=False)
      SX(wires=[0])
      >>> qml.pow(qml.PauliX(0), 0.1, lazy=False)
      PauliX(wires=[0])**0.1
      >>> qml.pow(qml.PauliX(0), 2, lazy=False)
      Identity(wires=[0])
  
      Lazy behavior can also be accessed via ``op ** z``.
  
      """
      if lazy:
          return Pow(base, z, id=id)
      try:
          pow_ops = base.pow(z)
      except PowUndefinedError:
          return Pow(base, z, id=id)
  
      num_ops = len(pow_ops)
      if num_ops == 0:
          pow_op = qml.Identity(base.wires, id=id)
      elif num_ops == 1:
          pow_op = pow_ops[0]
      else:
          pow_op = qml.prod(*pow_ops)
      QueuingManager.remove(base)
  
      return pow_op
  
imports: import copy
  from typing import Union
  from scipy.linalg import fractional_matrix_power
  import pennylane
  from pennylane import math
  from pennylane.operation import DecompositionUndefinedError, Observable, Operation, PowUndefinedError, SparseMatrixUndefinedError
  from pennylane.ops.identity import Identity
  from pennylane.queuing import QueuingManager, apply
  from .symbolicop import ScalarSymbolicOp
label_desc: Use image node_id 1 for calling a global function with example usage: pow(base, z, lazy, id) and returns: pow_op, Pow, Pow