Python: Getting python class has no attribute - python

Getting below Attribute error while running below code. Class member function is accessed using self still it is giving error.
class A:
def __init__(self):
self.a=1
def f1(self):
self.b=2
def f2(self):
self.c=3
print(self.a,self.b,self.c)
self.f2()
model = A()
model.f1()
Error:
AttributeError: 'A' object has no attribute 'f2'

A does not have an attribute f2, but it does have an attribute f1 that calls a function f2. f2 is not an instance attribute.
In this case c is no longer an instance attribute, or data attribute, it is now just a local variable. This may or may not be what you were
going for.
class D:
def __init__(self):
self.a = 1
def f1(self):
# Instance attribute declared outside of __init__
self.b = 2
def f2():
c = 3
print(self.a, self.b, c)
f2()
Depending on your development environment you may or may not get a warning about instance attributes being declare outside of the __init__ function. It isn't necessary that you declare them this way, however, it improves readability.
class B:
def __init__(self):
self.a = 1
self.b = 2
self.c = 3
def f1(self):
def f2():
print(self.a, self.b, self.c)
f2()
This next block is slightly more explicit in what it says about the intent of the code.
class A:
def __init__(self):
self.a = 1
self.b = 2
self.c = 3
def f1(self):
def f2():
return '{} {} {}'.format(self.a, self.b, self.c)
return f2()
Perhaps you want f2() to be called using method attributes of the
self argument in which case:
class A2:
def __init__(self):
self.a = 1
self.b = 2
self.c = 3
def f2(self):
print(self.a, self.b, self.c)
def f1(self):
"""Do something that requires calling the self.f2()
print function.
"""
self.f2()

You do not need self when calling the nested function and nor does it need to be contained in the function signature:
class A:
def __init__(self):
self.a=1
def f1(self):
self.b=2
def f2():
c=3
print(self.a,self.b, c)
f2()
model = A()
model.f1()
Output:
1, 2, 3

Its not clear to me that you actually need to define a function within a method just to call it.
So, your code could just as easily be this:
class A:
def __init__(self):
self.a = 1
def f1(self):
self.b = 2
self.f2()
def f2(self):
self.c = 3
print(self.a, self.b, self.c)
model = A()
model.f1()
Output:
1 2 3

Related

Inherit from a "sibling" class?

Imagine I have:
class ABC():
def main(self, x):
self.x = x
class A(ABC):
def afunction(self):
self.a = 2
class B(ABC):
def bfunction(self):
self.b = self.a * self.x
return self.b
How is it possible that class B inherits the self.a and self.x from class A and ABC? (I do not care about inheriting the methods)
If I understand correctly, what you want is to get B to inherit from A.
Notice that what will happen is that it will inherit A variables, and because A inherits from ABC, B will inherit ABC's variables as well.
Also, please note that you will have to initialize the x variable for example inside an B object in order to use the bFunction, and in general it is proper coding to set a constructor as follows:
class ABC():
def __init__(self, x=0):
self.x = x
def main(self, x):
self.x = x
class A(ABC):
def __init__(self, a=2):
super().__init__()
self.a = a
def afunction(self):
self.a = 2
class B(A):
def __init__(self, b=0):
super().__init__()
self.b = b
def bfunction(self):
self.b = self.a * self.x
return self.b
b = B()
b.main(3)
b.afunction()
print(b.bfunction())
Output:
6
If B inherits from A, which inherits from ABC, then B will have ABC and A's methods but neither the 'x' or 'a' attributes which are only set after the methods are run. This works if you rewrite B as:
class B(A):
def bfunction(self, x):
self.main(x)
self.afunction()
self.b = self.a * self.x
return self.b
b = B()
print(b.bfunction(10))
You have to supply 'x' to b.bfunction so that self.b = self.a * self.x works.

python class B inherit class A with all its methods but change one method only

Let's say class A has 10 methods. Some of the methods are private and it has private attributes as well. I want to create class B so I can change last method only without duplicating the code for the rest of the methods. My example is below. At the moment I am unable to achieve it with such inheritance as I get AttributeError: 'B' object has no attribute '_B__c'
class A:
def __init__(self, a=1, b=2):
self.a = a
self.b = b
self.__foo()
def __foo(self):
self.__c = self.a + self.b
def get_data(self):
return self.__c
class B(A):
def __init__(self, *args, **kwargs):
super(B, self).__init__(*args, **kwargs)
self.__c = self.__modify_data()
def __modify_data(self):
self.__c += 10000
def get_data(self):
return self.__c
b = B(a=5, b=10).get_data()
Question 2:
Can I achieve it with use of *args so I do not have to repeat all the arguments?
EDIT:
Please see my updated code above.
I believe private attributes causes the problem.
Can I solve it with still using private?
class A(object):
def __init__(self, a=1, b=2):
self.a = a
self.b = b
self.__foo()
def __foo(self):
self._c = self.a + self.b
def get_data(self):
return self._c
class B(A):
def __init__(self, *args, **kwargs):
super(B, self).__init__(*args, **kwargs)
self.__modify_data()
def __modify_data(self):
self._c += 10000
b = B(a=5, b=10).get_data()
print(b)
Output:
10015
Changing _c to __c gives AttributeError: 'B' object has no attribute '_B__c'
Yes, the __ is causing the trouble by making variable c inaccessible in children, which is good because the private variable of parents should not be allowed to edit by the children class.

python 3 class inheritance issue

class A(object):
def __init__(self):
self.a = 1
class B(A):
def __init__(self):
A.__init__(self)
self.a = 2
self.b = 3
class C(object):
def __init__(self):
self.a = 4
self.c = 5
class D(C, B):
def __init__(self):
C.__init__(self)
B.__init__(self)
self.d = 6
obj = D()
print(obj.a)
My understanding is that python will first search class C then B then A to get a. So print(obj.a) will print out 4 when searching class C. But the answer is 2. This means that Python got self.a = 2 from class B instead of self.a = 4 from class C. Can anyone explain the reasons? Thank you
There is no search going on here. You are making explicit, direct calls to unbound methods, passing in self manually. These are simple function calls, nothing more.
So this is just a question of tracing the execution order:
D() -> D.__init__(self)
C.__init__(self)
self.a = 4
B.__init__(self)
A.__init__(self)
self.a = 1
self.a = 2
So a is assigned 4, then 1, then 2.

Python Inheritence Subclass(ing)

Given a parent class 'A'
class A(object):
def __init__(self,a,b):
self.a = a
self.b = b
def methodA():
# do something
What is the difference between making a subclass 'B' among the below options
Option 1
class B(A):
def methodB():
# do something
Option 2
class B(A):
def __init__(self,a,b):
A.__init__(self, a, b)
def methodB():
# do something
class A(object):
def __init__(self,a,b):
self.a = a
self.b = b
class B(A):
def __init__(self,a,b):
A.__init__(self, a, b)
def methodB():
pass
class C(A):
def methodB():
pass
b = B(1,2)
c = C(1,2)
print b.a == c.a # True
print b.b == c.b # True
In both class instantiation, init under class A will be ran only once.
so no, there is nothing significantly different.
class B is not clean IMO and poses no real purpose at all. It will be ran anyways.
If you wish to do something different in class B init, then yes, you can use this code.
class B(A):
def __init__(self,a,b):
A.__init__(self, a+1, b+1)
def methodB():
pass

Python: How to share data between instances of different classes?

Class BigClassA:
def __init__(self):
self.a = 3
def foo(self):
self.b = self.foo1()
self.c = self.foo2()
self.d = self.foo3()
def foo1(self):
# do some work using other methods not listed here
def foo2(self):
# do some work using other methods not listed here
def foo3(self):
# do some work using other methods not listed here
Class BigClassB:
def __init__(self):
self.b = # need value of b from BigClassA
self.c = # need value of c from BigClassA
self.d = # need value of d from BigClassA
def foo(self):
self.f = self.bar()
def bar(self):
# do some work using other methods not listed here and the value of self.b, self.c, and self.d
Class BigClassC:
def __init__(self):
self.b = # need value of b from BigClassA
self.f = # need value of f from BigClassB
def foo(self):
self.g = self.baz()
def baz(self):
# do some work using other methods not listed here and the value of self.b and self.g
Question:
Basically I have 3 classes with lots of methods and they are somewhat dependent as you can see from the code. How do I share the value of instance variables self.b, self.c, self.d from BigClassA to BigClassB?
nb: these 3 classes can not be inherited from each other, since it does not make sense.
What I have in mind, is just to combine all methods into a super big class. But I don't feel this is a right way to do it.
You are correct, in your case inheritance does not make sense. But, how about explicitly passing the objects during the instantiation. This would make a lot of sense.
Something like:
Class BigClassA:
def __init__(self):
..
Class BigClassB:
def __init__(self, objA):
self.b = objA.b
self.c = objA.c
self.d = objA.d
Class BigClassC:
def __init__(self, objA, objB):
self.b = objA.b # need value of b from BigClassA
self.f = objB.f # need value of f from BigClassB
While instantiating, do:
objA = BigClassA()
..
objB = BigClassB(objA)
..
objC = BigClassC(objA, objB)

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