

def _combine(*args):
    if isinstance(args[0], list):
        data = []
        for j in xrange(len(args[0])):
            data.append(np.concatenate([d[data] for d in args], axis=0))
    else:
        data = np.concatenate([d for d in args], axis=0)
    return data

dataset/ETHPy150Open Cysu/dlearn/dlearn/data/dataset.py _combine/VarMisuse@56/60 `j`->`data`