python memory leak only in x86 64 linux

[rkmr.em at gmail.com]

This is the code that is causing memory leak in 64 bit python [but not
in 32 bit python].. is something wrong in the code?

now = datetime.datetime.now()
oneday = datetime.timedelta(days=1)

def birthdaycompare(a, b):
   if a is None and b:
       return 1
   if a and b is None:
       return -1
   if a is None and b is None:
       return 0
   if a<b:
       return -1
   elif a==b:
       return 0
   else:
       return 1

def compare_by(fieldname):
   def comparedict(a,b):
       return birthdaycompare(a[fieldname], b[fieldname])
   return comparedict

def getbirthdays(friend_details):
   new_f = []
   birthday = None
   birthday_dt = None
   for f in friend_details:
       if f.has_key('birthday'):
           birthday = f['birthday']
       if birthday and birthday !='':
           birthday_split = birthday.split(',')[0]
           if birthday_split == 'February 29':
               birthday = 'February 28'
           try:
               birthday_dt =
datetime.datetime.strptime(birthday_split + ', ' + str(now.year) , '%B %d, %Y')
               if birthday_dt < (now - oneday):
                   birthday_dt =
datetime.datetime.strptime(birthday_split + ', ' + str(now.year+1) ,
'%B %d, %Y')
           except:
               birthday=None
               birthday_dt=None

       f['birthday'] = birthday
       f['birthday_dt'] = birthday_dt
       new_f.append(f)
   new_f.sort(compare_by('birthday_dt'))

On Tue, Apr 15, 2008 at 8:25 PM, rkmr.em at gmail.com <rkmr.em at gmail.com> wrote:
> the memory usage of a python app keeps growing in a x86 64 linux
>  continuously, whereas in 32 bit linux this is not the case. Python
>  version in both 32 bit and 64 bit linux - 2.6.24.4-64.fc8
>  Python 2.5.1 (r251:54863, Oct 30 2007, 13:45:26)
>
>  i isolated the memory leak problem to a function that uses datetime
>  module extensively. i use datetime.datetime.strptime,
>  datetime.timedelta, datetime.datetime.now methods...
>
>  i tried to get some info with guppy and the code goes like this
>
>    while True:
>        print heapy.heap().get_rp()
>        print heapy.setref()
>        users = globalstuff.q.get()
>        for u in users:
>                doalert(u)
>
>