Python bug with dictionary

or is it just me?

I am having a problem with using a dictionary as an attribute of a
class. This happens in python 1.5.2 and 2.2.2 which I am accessing
through pythonwin builds 150 and 148 respectively

In the sample code you see that I have class Item and class Dict
class Dict contains a dictionary called items. The items dictionary
will contain instances of Item that are keyed off of the Item name. In
__main__ I create two distinct instances of Dict and 4 distinct
instances of Item. By using the accessor method addItem() in Dict I add
the instances of Item to Dict. In this case I add Item1 and Item2 to
Dict1 and I add Item3 and Item4 to Dict2. When this is done I print
out the instances of Dict and of Item. It appears that the dictionary
items in each of the Dict instances is the exact same instance even
though they were created as distinctly separate classes. The print out
of the results shows them at the same memory address. The items
dictionary inside of each Dict object have the same id when I do
id(dict1.items) and id(dict2.items) . This means that each of the items
dictionary in the Dict instances has all four items in it, even though
each should only have two. Apparently when I add the first to Item
instances to dict1 and then the second two Item instances to dict2 they
are being added to the same items dictionary.

If I assign the Item instances to the items dictionary without using the
accessor method this does not occur. I have also tried a test with
lists with and without accessor method. This works fine also. The
simple solution is not to use accessor method but shouldn't this work?

Dale


class Dict:
items = {}
name = ""

def addItem(self,it em,name):
self.items[name] = item


def setName(self,na me):
self.name = name

def getName(self):
return self.name

def printItemKeys(s elf):
print "Dictonary Keys: ",self.items.ke ys()


class Item:
name = ""

def getName(self):
return self.name

def setName(self,na me):
self.name = name


if __name__ == '__main__':

dict1 = Dict()
dict1.setName(" dict1")

dict2 = Dict()
dict2.setName(" dict2")

item1 = Item()
item1.setName(" item1")

item2 = Item()
item2.setName(" item2")

item3 = Item()
item3.setName(" item3")

item4 = Item()
item4.setName(" item4")

print "Item 1: ",item1
print "Item 2: ",item2
print "Item 3: ",item3
print "Item 4: ",item4

print "\n"

dict1.addItem(i tem1,item1.getN ame())
dict1.addItem(i tem2,item2.getN ame())

dict2.addItem(i tem3,item3.getN ame())
dict2.addItem(i tem4,item4.getN ame())



print "Dictionary Object: ",dict1
print "Dictionary Name: ",dict1.getName ()
dict1.printItem Keys()
print "Dictionary Keys: ",dict1.items.k eys()
print "Dictionary Item Objects: ",dict1.ite ms
print "\n"
print "Dictionary Object: ",dict2
print "Dictionary Name: ",dict2.getName ()
dict2.printItem Keys()
print "Dictionary Keys: ",dict2.items.k eys()
print "Dictionary Item Objects: ",dict2.ite ms
print "\n"
print "ID of items in dict1: " + str(id(dict1.it ems))
print "ID of itmes in dict2: " + str(id(dict2.it ems))



Item 1: <__main__.Ite m instance at 0x00778F20>
Item 2: <__main__.Ite m instance at 0x00779240>
Item 3: <__main__.Ite m instance at 0x00779518>
Item 4: <__main__.Ite m instance at 0x00779820>


Dictionary Object: <__main__.Dic t instance at 0x00778BE8>
Dictionary Name: dict1
Dictonary Keys: ['item2', 'item3', 'item1', 'item4']
Dictionary Keys: ['item2', 'item3', 'item1', 'item4']
Dictionary Item Objects: {'item2': <__main__.Ite m instance at
0x00779240>, 'i
tem3': <__main__.Ite m instance at 0x00779518>, 'item1': <__main__.Ite m
instance
at 0x00778F20>, 'item4': <__main__.Ite m instance at 0x00779820>}


Dictionary Object: <__main__.Dic t instance at 0x00778BB0>
Dictionary Name: dict2
Dictonary Keys: ['item2', 'item3', 'item1', 'item4']
Dictionary Keys: ['item2', 'item3', 'item1', 'item4']
Dictionary Item Objects: {'item2': <__main__.Ite m instance at
0x00779240>, 'i
tem3': <__main__.Ite m instance at 0x00779518>, 'item1': <__main__.Ite m
instance
at 0x00778F20>, 'item4': <__main__.Ite m instance at 0x00779820>}


ID of items in dict1: 8016928
ID of itmes in dict2: 8016928