I'm using set() and __hash__ method of python class to prevent adding same hash object in set. According to python data-model document, set() consider same hash object as same object and just add them once. 
But it behaves different as below:
class MyClass(object):
    def __hash__(self):
        return 0
result = set()
result.add(MyClass())
result.add(MyClass())
print(len(result)) # len = 2
While in case of string value, it works correctly.
result.add('aida')
result.add('aida')
print(len(result)) # len = 1
My question is: why the same hash objects are not same in set?
Your reading is incorrect. The __eq__ method is used for equality checks. The documents just state that the __hash__ value must also be the same for 2 objects a and b for which a == b (i.e.  a.__eq__(b)) is true.
This is a common logic mistake: a == b being true implies that hash(a) == hash(b) is also true. However, an implication does not necessarily mean equivalence, that in addition to the prior, hash(a) == hash(b) would mean that a == b.
To make all instances of MyClass compare equal to each other, you need to provide an __eq__ method for them; otherwise Python will compare their identities instead. This might do:
class MyClass(object):
    def __hash__(self):
        return 0
    def __eq__(self, other):
        # another object is equal to self, iff 
        # it is an instance of MyClass
        return isinstance(other, MyClass)
Now:
>>> result = set()
>>> result.add(MyClass())
>>> result.add(MyClass())
1
In reality you'd base the __hash__ on those properties of your object that are used for __eq__ comparison, for example:
class Person
    def __init__(self, name, ssn):
        self.name = name
        self.ssn = ssn
    def __eq__(self, other):
        return isinstance(other, Person) and self.ssn == other.ssn
    def __hash__(self):
        # use the hashcode of self.ssn since that is used
        # for equality checks as well
        return hash(self.ssn)
p = Person('Foo Bar', 123456789)
q = Person('Fake Name', 123456789)
print(len({p, q})  # 1
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