code: def make_seeded_random_loader(
      seed, dates, sids, columns=TestingDataSet.columns
  ):
      """
      Make a PipelineLoader that emits random arrays seeded with `seed` for the
      columns in ``TestingDataSet``.
      """
      return SeededRandomLoader(seed, columns, dates, sids)
  
imports: from .synthetic import EyeLoader, SeededRandomLoader
  from ..data.testing import TestingDataSet
label_desc: Use image node_id 2 for calling a global function with example usage: make_seeded_random_loader(seed, dates, sids, columns) and returns: SeededRandomLoader