code: def _combine_shift_rules(rules):
      r"""Helper method to combine shift rules for multiple parameters into
      simultaneous multivariate shift rules."""
      combined_rules = []
  
      for partial_rules in itertools.product(*rules):
          c, *m, s = np.stack(partial_rules).T
          combined = np.concatenate([[np.prod(c)], *m, s])
          combined_rules.append(np.stack(combined))
  
      return np.stack(combined_rules)
  
imports: import functools
  import itertools
  import numbers
  import warnings
  import numpy
  import pennylane
  from pennylane.measurements import MeasurementProcess
  from pennylane.ops.functions import bind_new_parameters
  from pennylane.tape import QuantumScript
label_desc: Use image node_id 7 for calling a global function with example usage: _combine_shift_rules(rules) and returns: np