code: def _split_operations(ops, num_tapes):
      """
      Given a list of operators, return a list containing lists
      of new operators with length num_tapes, with the parameters split.
      """
      # for some reason pylint thinks "qml.ops" is a set
      # pylint: disable=no-member
      new_ops = [[] for _ in range(num_tapes)]
      for op in ops:
          # determine if any parameters of the operator are batched
          if op.batch_size:
              for b in range(num_tapes):
                  new_params = tuple(
                      p
                      if qml.math.ndim(p) == op.ndim_params[j]
                      else p[b]
                      for j, p in enumerate(op.data)
                  )
                  new_op = qml.ops.functions.bind_new_parameters(
                      op, new_params
                  )
                  new_ops[b].append(new_op)
          else:
              # no batching in the operator; don't copy
              for b in range(num_tapes):
                  new_ops[b].append(op)
  
      return new_ops
  
imports: from typing import Sequence, Callable
  import pennylane
  from .core import transform
label_desc: Use image node_id 1 for calling a global function with example usage: _split_operations(ops, num_tapes) and returns: new_ops