code: def pauli_mult(pauli_1, pauli_2, wire_map=None):
      """Multiply two Pauli words together and return the product as a Pauli word.
  
      .. warning::
  
          ``pauli_mult`` is deprecated. Instead, you can multiply two Pauli words
          together with ``qml.simplify(qml.prod(pauli_1, pauli_2))``. Note that if
          there is a phase, this will be in ``result.scalar``, and the base will be
          available in ``result.base``.
  
      Two Pauli operations can be multiplied together by taking the additive
      OR of their binary symplectic representations.
  
      Args:
          pauli_1 (.Operation): A Pauli word.
          pauli_2 (.Operation): A Pauli word to multiply with the first one.
          wire_map (dict[Union[str, int], int]): dictionary containing all wire labels used in the Pauli
              word as keys, and unique integer labels as their values. If no wire map is
              provided, the map will be constructed from the set of wires acted on
              by the input Pauli words.
  
      Returns:
          .Operation: The product of pauli_1 and pauli_2 as a Pauli word
          (ignoring the global phase).
  
      **Example**
  
      This function enables multiplication of Pauli group elements at the level of
      Pauli words, rather than matrices. For example,
  
      >>> from pennylane.pauli import pauli_mult
      >>> pauli_1 = qml.PauliX(0) @ qml.PauliZ(1)
      >>> pauli_2 = qml.PauliY(0) @ qml.PauliZ(1)
      >>> product = pauli_mult(pauli_1, pauli_2)
      >>> print(product)
      PauliZ(wires=[0])
      """
  
      warn(
          "`pauli_mult` is deprecated. Instead, you can multiply two Pauli words "
          "together with `qml.simplify(qml.prod(pauli_1, pauli_2))`. Note that if "
          "there is a phase, this will be in `result.scalar`, and the base will be "
          "available in `result.base`.",
          qml.PennyLaneDeprecationWarning,
      )
  
      if wire_map is None:
          wire_map = _wire_map_from_pauli_pair(pauli_1, pauli_2)
  
      # Check if pauli_1 and pauli_2 are the same; if so, the result is the Identity
      if are_identical_pauli_words(pauli_1, pauli_2):
          first_wire = list(pauli_1.wires)[0]
          return Identity(first_wire)
  
      # Compute binary symplectic representations
      pauli_1_binary = pauli_to_binary(pauli_1, wire_map=wire_map)
      pauli_2_binary = pauli_to_binary(pauli_2, wire_map=wire_map)
  
      bin_symp_1 = np.array([int(x) for x in pauli_1_binary])
      bin_symp_2 = np.array([int(x) for x in pauli_2_binary])
  
      # Shorthand for bitwise XOR of numpy arrays
      pauli_product = bin_symp_1 ^ bin_symp_2
  
      return binary_to_pauli(pauli_product, wire_map=wire_map)
  
imports: from functools import lru_cache, reduce, singledispatch
  from itertools import product
  from typing import List, Union
  from warnings import warn
  import numpy
  import pennylane
  from pennylane.operation import Tensor
  from pennylane.ops import Hamiltonian, Identity, PauliX, PauliY, PauliZ, Prod, SProd
  from pennylane.tape import OperationRecorder
  from pennylane.wires import Wires
label_desc: Use image node_id 21 for calling a global function with example usage: pauli_mult(pauli_1, pauli_2, wire_map) and returns: binary_to_pauli, Identity