Multiple initialisation with given input parameter

Question

I am trying to make my class to be executed a given number of times according to passed parameter. My class converts dictionary into some desired data.

Let me show You a quick example of what i mean exactly:

First class A just offers common methods for derivative classes.

class A(object):
    @staticmethod
    def do_magic(obj):
    # ...
    print(''.obj)

Class B, E (skipped in example) initialise objects and provide b_stuff and e_stuff.

class B(A):
    def __init__(self, mydict):
    #
    self.b_stuff = [...]

Now Class C comes into play. It basically transforms given dictionary mydict which has a key-value pair describing number of iterations 'iters': 'val'

class C(B, E):
    def __init__(self, mydict):
        B.__init__(self, mydict) # access to b_stuff
        E.__init__(self, mydict) # access to e_stuff

        self.iters = int(self.mydict['iters'])     # desired nb of initialisations/executions
        self.c_stuff = [b_stuff, e_stuff, other]        

    def do_magic(self):
        A.do_magic(self.c_stuff)

Now the problem is, that once calling a class from external loop later in code i don't know how to make my class to do_magic mydict['iters'] number of times.

for d in list_of_dicts:
    C(d).do_magic()

One of solutions could be that i'll initialise this class just in external loop above, like that:

for d in list_of_dicts:
    for i in range(int(d['iters']))
        C(d).do_magic()

But it feels far away from OOP style.

To be 100% sure that You folks follow me, ill show here actual expected behaviour:
d - input dictionary
d['iters'] = 2

Execute

C(d).do_magic()

Actual result:

>>> 
'XXX YYY RANDOM_NUMBER1 .... '

Expected result:

>>> 
'XXX YYY RANDOM_NUMBER1 .... '  
'XXX YYY RANDOM_NUMBER2 .... '  # random number from class B re-initialised!!

As exploring stack i've found out some hints to refer __new__ method but still no clue if this is a right path and how :)

Edit:

As @Peter-wood suggested - adding to a question:

I'd like to point out that both attributes b_stuff and e_stuff once initialised - produce unique strings that are part of c_stuff and are about to be updated with each do_magic() call.

This method basically does ''.join(obj) (see class A)

Open AI - Opting Out · Accepted Answer · 2016-01-07 17:33:26Z

1

class C(B, E):
    def do_magic(self):
        for _ in range(self.iters):
            A.do_magic(self.c_stuff)

answered Jan 7, 2016 at 17:33

Open AI - Opting Out

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2 Comments

Testuser Semathopy Over a year ago

This is nice but didn't work exactly as I expected because: In b_stuff i have some random_number that is generated within each initialisation and needs to be unique, solution that You provided refers to the same originally initialised value. But thanks anyway.

Open AI - Opting Out Over a year ago

@TestuserSemathopy Put that in the question.

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