code: def _prepare_training_parameter_list(schedule):
      if isinstance(schedule, list):
          return [
              (1, v) if isinstance(v, (float, int)) else v
              for v in schedule
          ]
      else:
          return schedule
  
imports: from enum import Enum, unique
  import warnings
  import numpy
  import cntk.internal.utils
  from ..None import cntk_py, NDArrayView, asarray
  from cntk.internal import typemap
  from ..internal.swig_helper import map_if_possible
label_desc: Use image node_id 5 for calling a global function with example usage: _prepare_training_parameter_list(schedule) and returns: unknown, schedule