code: def _generate_simple_decomp(coeffs, ops, time, order, n):
      """Given coeffs, ops and a time argument in a given framework, generate the
      Trotter product for order and number of trotter steps."""
      decomp = []
      if order == 1:
          decomp.extend(
              qml.exp(op, coeff * (time / n) * 1j)
              for coeff, op in zip(coeffs, ops)
          )
  
      coeffs_ops = zip(coeffs, ops)
  
      if get_interface(coeffs) == "torch":
          import torch
  
          coeffs_ops_reversed = zip(
              torch.flip(coeffs, dims=(0,)), ops[::-1]
          )
      else:
          coeffs_ops_reversed = zip(coeffs[::-1], ops[::-1])
  
      if order == 2:
          decomp.extend(
              qml.exp(op, coeff * (time / n) * 1j / 2)
              for coeff, op in coeffs_ops
          )
          decomp.extend(
              qml.exp(op, coeff * (time / n) * 1j / 2)
              for coeff, op in coeffs_ops_reversed
          )
  
      if order == 4:
          s_2 = []
          s_2_p = []
  
          for coeff, op in coeffs_ops:
              s_2.append(
                  qml.exp(op, (p_4 * coeff) * (time / n) * 1j / 2)
              )
              s_2_p.append(
                  qml.exp(
                      op,
                      ((1 - (4 * p_4)) * coeff) * (time / n) * 1j / 2,
                  )
              )
  
          for coeff, op in coeffs_ops_reversed:
              s_2.append(
                  qml.exp(op, (p_4 * coeff) * (time / n) * 1j / 2)
              )
              s_2_p.append(
                  qml.exp(
                      op,
                      ((1 - (4 * p_4)) * coeff) * (time / n) * 1j / 2,
                  )
              )
  
          decomp = (s_2 * 2) + s_2_p + (s_2 * 2)
  
      return decomp * n
  
imports: import copy
  from functools import reduce
  import pytest
  import pennylane
  from pennylane import numpy
  from pennylane.math import allclose, get_interface
  from pennylane.templates.subroutines.trotter import _recursive_expression, _scalar
label_desc: Use image node_id 1 for calling a global function with example usage: _generate_simple_decomp(coeffs, ops, time, order, n) and returns: unknown