question of data_train_opt

[valencebond]

1. in training stage one, although base category setting is nTestBase =32, batch_size=8 , actual batchsize is 32 *8 as like general training procedure. so why you split the one arg 'batch_size' to two arg 'nTestBase' and 'batch_size'.
2. in training stage two, settings is data_train_opt['nTestNovel'] = nKnovel * 3
   data_train_opt['nTestBase'] = nKnovel * 3, why we need * 3 and i can not find any info in original paper.

it is so kind if you can help me to understand the code. thanks a lot