code: def conversion_between_reproducible_and_unrepeated_sampler(sampler):
      """
      将 ``sampler`` 替换成其对应的 reproducible 版本或 unrepeated 版本。如果输入是 :class:`~fastNLP.core.samplers.unrepeated_sampler.UnrepeatedSampler`
      但是没找到对应的 :class:`~fastNLP.core.samplers.reproducible_sampler.ReproducibleSampler` 则会报错。
  
      :param sampler: 需要转换的 ``sampler`` ；
      :return:
      """
      assert isinstance(sampler, UnrepeatedSampler) or isinstance(
          sampler, ReproducibleSampler
      ), "The sampler must be UnrepeatedSampler or ReproducibleSampler"
      if isinstance(sampler, UnrepeatedSampler):
          if isinstance(sampler, UnrepeatedRandomSampler):
              return re_instantiate_sampler(
                  sampler, new_sampler_class=RandomSampler
              )
          elif isinstance(sampler, UnrepeatedSequentialSampler):
              return re_instantiate_sampler(
                  sampler, new_sampler_class=SequentialSampler
              )
          elif isinstance(sampler, UnrepeatedSortedSampler):
              return re_instantiate_sampler(
                  sampler, new_sampler_class=SortedSampler
              )
          raise TypeError(
              f"{sampler.__class__} has no unrepeated version."
          )
      else:
          if isinstance(sampler, RandomSampler):
              return re_instantiate_sampler(
                  sampler, new_sampler_class=UnrepeatedRandomSampler
              )
          elif isinstance(sampler, SequentialSampler):
              return re_instantiate_sampler(
                  sampler, new_sampler_class=UnrepeatedSequentialSampler
              )
          elif isinstance(sampler, SortedSampler):
              return re_instantiate_sampler(
                  sampler, new_sampler_class=UnrepeatedSortedSampler
              )
          raise TypeError(
              f"{sampler.__class__} has no reproducible version."
          )
  
label_desc: Use image node_id 1 for calling a global function with example usage: conversion_between_reproducible_and_unrepeated_sampler(sampler) and returns: re_instantiate_sampler, re_instantiate_sampler, re_instantiate_sampler, re_instantiate_sampler, re_instantiate_sampler, re_instantiate_sampler