def make_seeded_random_loader(seed, dates, sids):
 return SeededRandomLoader(seed, TestingDataSet.columns, dates, sids)

def make_seeded_random_loader ( seed , dates , sids ) : return SeededRandomLoader ( seed , TestingDataSet . columns , dates , sids )
make a pipelineloader that emits random arrays seeded with seed for the columns in testingdataset .