I have this simple code and I get a strange error:
from abc import ABCMeta, abstractmethod
class CVIterator(ABCMeta):
    def __init__(self):
        self.n = None # the value of n is obtained in the fit method
        return
class KFold_new_version(CVIterator): # new version of KFold
    def __init__(self, k):
        assert k > 0, ValueError('cannot have k below 1')
        self.k = k
        return 
cv = KFold_new_version(10)
In [4]: ---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-ec56652b1fdc> in <module>()
----> 1 __pyfile = open('''/tmp/py13196IBS''');exec(compile(__pyfile.read(), '''/home/donbeo/Desktop/prova.py''', 'exec'));__pyfile.close()
/home/donbeo/Desktop/prova.py in <module>()
     19 
     20 
---> 21 cv = KFold_new_version(10)
TypeError: __new__() missing 2 required positional arguments: 'bases' and 'namespace'
What am I doing wrong? A theoretical explanation would be appreciated.
You used the ABCMeta meta class incorrectly. It is a meta class, not a base class. Use it as such.
For Python 2, that means assigning it to the __metaclass__ attribute on the class:
class CVIterator(object):
    __metaclass__ = ABCMeta
    def __init__(self):
        self.n = None # the value of n is obtained in the fit method
In Python 3, you'd use the metaclass=... syntax when defining the class:
class CVIterator(metaclass=ABCMeta):
    def __init__(self):
        self.n = None # the value of n is obtained in the fit method
As of Python 3.4, you can use the abc.ABC helper class as a base class:
from abc import ABC
class CVIterator(ABC):
    def __init__(self):
        self.n = None # the value of n is obtained in the fit method
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