On Oct 1, 3:50 pm, est <[EMAIL PROTECTED]> wrote:
> >>> import md5
> >>> a=md5.md5()
> >>> import pickle
> >>> pickle.dumps(a)
>
> Traceback (most recent call last):
> File "", line 1, in
> File "C:\Python25\lib\pickle.py", line 1366, in dumps
> Pickler(file, protocol).dump(obj)
> File "
On Sep 24, 9:17 am, Marin Brkic <[EMAIL PROTECTED]> wrote:
> Not commercial distribution, but an academic kind of sorts - giving
> the exe file to coleagues, so they can use it in their work. Giving
> .py file is not an option, since due to centralized computer
> maintenance, they don't (and cannot
On Jul 17, 8:27 am, Jeff <[EMAIL PROTECTED]> wrote:
> Thanks, that made things very clear. I like that technique for adding
> memoization via the parameter. That is clever. It would be nice if
> there were a way to have multiple functions close over a shared local
> variable in Python, like let-
On Jul 15, 4:12 pm, iu2 <[EMAIL PROTECTED]> wrote:
> On Jul 15, 9:30 pm, [EMAIL PROTECTED] wrote:
>
>
>
> > On Jul 15, 2:59 pm, iu2 <[EMAIL PROTECTED]> wrote:
>
> > > Hi,
>
> > > I wrote this wrong recursive function that flattens a list:
>
> > > def flatten(lst, acc=[]):
> > > #print 'acc =',
On Jul 15, 2:59 pm, iu2 <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I wrote this wrong recursive function that flattens a list:
>
> def flatten(lst, acc=[]):
> #print 'acc =', acc, 'lst =', lst
> if type(lst) != list:
> acc.append(lst)
> else:
> for item in lst:
> f
