code: def _get_slice(index, axis, num_axes):
      """Allows slicing along an arbitrary axis of an array or tensor.
  
      Args:
          index (int): the index to access
          axis (int): the axis to slice into
          num_axes (int): total number of axes
  
      Returns:
          tuple[slice or int]: a tuple that can be used to slice into an array or tensor
  
      **Example:**
  
      Accessing the 2 index along axis 1 of a 3-axis array:
  
      >>> sl = _get_slice(2, 1, 3)
      >>> sl
      (slice(None, None, None), 2, slice(None, None, None))
      >>> a = np.arange(27).reshape((3, 3, 3))
      >>> a[sl]
      array([[ 6,  7,  8],
             [15, 16, 17],
             [24, 25, 26]])
      """
      idx = [slice(None)] * num_axes
      idx[axis] = index
      return tuple(idx)
  
imports: import functools
  import itertools
  from string import ascii_letters
  from typing import List
  import numpy
  from scipy.sparse import csr_matrix
  import pennylane
  from pennylane import BasisState, DeviceError, QubitDevice, StatePrep, Snapshot
  from pennylane.devices.qubit import measure
  from pennylane.operation import Operation
  from pennylane.ops import Sum
  from pennylane.ops.qubit.attributes import diagonal_in_z_basis
  from pennylane.pulse import ParametrizedEvolution
  from pennylane.measurements import ExpectationMP
  from pennylane.typing import TensorLike
  from pennylane.wires import WireError
  from .._version import __version__
label_desc: Use image node_id 1 for calling a global function with example usage: _get_slice(index, axis, num_axes) and returns: tuple