关于python：无法在模块中使用super进行继承工作

cannot make inheritance work with super in module

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我读过通过super(..).__init__()调用祖先的构造函数的新方法，并想使用它。我有一个目录数据集，有三个文件：__init__.py。

1 2	from .Dataset import Dataset from .CSVDataset import CSVDataset

CSVDataset.py

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import csv
import numpy as np
from dataset import Dataset

class CSVDataset(Dataset):
"""
reads dataset from csv file
"""
def __init__(self, file):
Dataset.__init__(self)
#super(CSVDataset, self).__init__()
reader = csv.reader(open(file, 'r'), delimiter=',')
x = list(reader)
self.container = np.array(x).astype('double')

和Dataset.py。当我像这样使用它的时候

1 2	from dataset import CSVDataset data = CSVDataset('test/data1')

它只适用于Dataset.__init__(self)。它应该与super(CSVDataset, self).__init__()一起工作，但它不工作。为什么会这样？

更新：我得到错误

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>>> data = CSVDataset('test/data1')
Traceback (most recent call last):
File"<stdin>", line 1, in <module>
File"dataset/CSVDataset.py", line 13, in __init__
super(CSVDataset, self).__init__()
TypeError: must be type, not classobj

数据集草案：

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class Dataset(Iterable):
"""
base class representing dataset API.
Remember, dataset is used for learning.
"""
def __init__(self):
self.container = None
self.counter = None
....

class Iterable:
def __iter__(self):
self.counter = 0
return self

def __next__(self):
try:
label = self[self.counter]
self.counter += 1
return label
except:
raise StopIteration