Python-list Digest, Vol 28, Issue 191
Manish Kumar (WT01 - Software Products & OSS)
kumar.manish at wipro.com
Thu Jan 12 05:00:02 EST 2006
Hi,
It does not work. I had already tried this earlier.
Please suggest some other solutions.
Also, I would like to see the stack from where the exception started.
Thanks n regards,
Manish Kumar
On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org wrote:
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> Today's Topics:
>
> 1. Re: Exception Handling (Sheldon)
> 2. Re: void * C array to a Numpy array using Swig (Jon)
> 3. Re: flatten a level one list (Peter Otten)
> 4. Re: Why keep identity-based equality comparison? (Paul Rubin)
> 5. Re: flatten a level one list (Paul Rubin)
> 6. How can I create a dict that sets a flag if it's been
> modified (sandravandale at yahoo.com)
> 7. Re: Python Scripts to logon to websites (Paul Rubin)
> 8. Re: flatten a level one list (bonono at gmail.com)
> 9. Re: How can I create a dict that sets a flag if it's been
> modified (Amit Khemka)
> 10. Re: How can I create a dict that sets a flag if it's been
> modified (Paul Rubin)
> 11. Re: Unicode style in win32/PythonWin (Thomas Heller)
> 12. Re: Real-world use cases for map's None fill-in feature?
> (Raymond Hettinger)
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Hi,
> > This is a non-trivial thing that you are trying to do. You can use some
> > of python's built-in exceptions, like RuntimeError or IOError and if so
> > then:
> > try:
> > call C
> > except IOError, e:
> > print e
> >
> > But this will return and print only IOErrors if they occur.
> >
> > You can define your own error handling using the function RAISE:
> > try:
> > Call C
> > except:
> > raise my_error.
> >
> > A catch-all error is RuntimeError; try this first.
> > try:
> > call C
> > except RuntimeError, r:
> > print r
> >
> > You can read up on it here:
> > http://docs.python.org/api/standardExceptions.html
> >
> >
> > Cheers,
> > Sheldon
> >
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Krish,
> >
> > In case you find a good solution, I am also looking for one!
> >
> > For now I essentially use helper functions on the c side which wrap in
> > SWIG to return the data as a string in python. That string can then be
> > converted to a numpy array using the fromstring function. This is
> > inefficient as it does an unnecessary copy but avoids dependence on
> > numeric versus numarray etc. It uses the cstring thing in SWIG (see the
> > manual). The library I am wrapping does not have an image struct, but
> > returns the data into memory that the user has to malloc.
> >
> > In the swig file I have something like this, which I've simplified to
> > try to get to the point. It assumes you have two c functions which take
> > a pointer to your struct as argument, the first returns the size of the
> > data (what to malloc), the second copies the data into your memory
> > where a pointer to the memory location was second arg.
> >
> > Doubtless I've introduced typos below, but hopefully you get the idea?
> >
> > Good luck,
> >
> > Jon
> > ---
> > typedef struct
> > {
> > stuff /* I don't know or care what is in here */
> > } imagefilestruct;
> >
> > %extend imagefilestruct {
> >
> > [... snip constructor destructor other functions etc]
> >
> > %cstring_output_allocate_size( char ** s, int *slen, free(*$1))
> > get_data ;
> >
> > void get_data(char **s, int *slen){
> > void * array;
> > size_t size;
> > size = libraryfunction_get_size(self);
> > array=malloc(size));
> > libraryfunc_get_data(self, array);
> > *slen = size;
> > *s = (char *) array;
> > }
> > }
> >
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Tim Hochberg wrote:
> >
> > > Here's one more that's quite fast using Psyco, but only average without
> > > it.
> >
> > > def flatten6():
> > > n = min(len(xdata), len(ydata))
> > > result = [None] * (2*n)
> > > for i in xrange(n):
> > > result[2*i] = xdata[i]
> > > result[2*i+1] = ydata[i]
> >
> > I you require len(xdata) == len(ydata) there's an easy way to move the loop
> > into C:
> >
> > def flatten7():
> > n = len(xdata)
> > assert len(ydata) == n
> > result = [None] * (2*n)
> > result[::2] = xdata
> > result[1::2] = ydata
> > return result
> >
> > $ python -m timeit 'from flatten import flatten6 as f' 'f()'
> > 1000 loops, best of 3: 847 usec per loop
> > $ python -m timeit 'from flatten import flatten7 as f' 'f()'
> > 10000 loops, best of 3: 43.9 usec per loop
> >
> > Peter
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Antoon Pardon <apardon at forel.vub.ac.be> writes:
> > > There is a use case for things like 1 < (1,3) making sense and denoting
> > > a total order. When you have a hetergenous list, having a total order
> > > makes it possible to sort the list which will make it easier to
> > > weed out duplicates. So why don't you demand a use case for the
> > > new behaviour to counter this use case?
> >
> > This could easily be handled with an alternate comparison function
> > that you pass to the sort function.
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Robin Becker <robin at SPAMREMOVEjessikat.fsnet.co.uk> writes:
> > > >>>>>reduce(operator.add,a)
> > > ...
> > > A fast implementation would probably allocate the output list just
> > > once and then stream the values into place with a simple index.
> >
> > That's what I hoped "sum" would do, but instead it barfs with a type
> > error. So much for duck typing.
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > I can think of several messy ways of making a dict that sets a flag if
> > it's been altered, but I have a hunch that experienced python
> > programmers would probably have an easier (well maybe more Pythonic)
> > way of doing this.
> >
> > It's important that I can read the contents of the dict without
> > flagging it as modified, but I want it to set the flag the moment I add
> > a new element or alter an existing one (the values in the dict are
> > mutable), this is what makes it difficult. Because the values are
> > mutable I don't think you can tell the difference between a read and a
> > write without making some sort of wrapper around them.
> >
> > Still, I'd love to hear how you guys would do it.
> >
> > Thanks,
> > -Sandra
> >
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Steve Holden <steve at holdenweb.com> writes:
> > > Underlining your point, the difference between the two is that digest
> > > offers *strong* authentication (i.e. is not subject to replay attacks)
> >
> > As I mentioned in another post, that's really not enough, since digest
> > still exposes the password hash to offline dictionary attacks, which
> > are sure to nab some passwords if you have a lot of users being
> > sniffed and you don't impose severe amounts of password discipline on
> > them. There's also usually no way to log out from an http
> > authenticated session except by completely closing the browser. All
> > in all, if you have nontrivial security requirements there's not much
> > point in using Digest. Use form-based authentication over SSL/TLS
> > instead. Make sure that the application locks out the user account
> > (at least temporarily) after too many failed login attempts, something
> > http authentication implementations that I know of don't bother to do.
> >
> > For higher security applications (e.g. extranets, admin interfaces,
> > etc), use client certificates on hardware tokens.
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Robin Becker wrote:
> > > Paul Rubin wrote:
> > > > Paul Rubin <http://phr.cx@NOSPAM.invalid> writes:
> > > >
> > > >>>>>import operator
> > > >>>>>a=[(1,2),(3,4),(5,6)]
> > > >>>>>reduce(operator.add,a)
> > > >>
> > > >>(1, 2, 3, 4, 5, 6)
> > > >
> > > >
> > > > (Note that the above is probably terrible if the lists are large and
> > > > you're after speed.)
> > > yes, and it is all in C and so could be a contender for the speed champ.
> > > I guess what you're saying is that it's doing
> > >
> > That is what I thought too but seems that [x for pair in li for x in
> > pair] is the fastest on my machine and what is even stranger is that if
> > I use psyco.full(), I got a 10x speed up for this solution(list
> > comprehension) which is head and shoulder above all the other suggested
> > so far.
> >
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > Ideally, I would have made a wrapper to add/delete/modify/read from
> > the dictionay.
> >
> > But other than this, one way i can think straight off is to "pickle"
> > the dict, and to see if the picked object is same as current object.
> >
> > cheers,
> > amit.
> >
> > On 12 Jan 2006 01:15:38 -0800, sandravandale at yahoo.com
> > <sandravandale at yahoo.com> wrote:
> > > I can think of several messy ways of making a dict that sets a flag if
> > > it's been altered, but I have a hunch that experienced python
> > > programmers would probably have an easier (well maybe more Pythonic)
> > > way of doing this.
> > >
> > > It's important that I can read the contents of the dict without
> > > flagging it as modified, but I want it to set the flag the moment I add
> > > a new element or alter an existing one (the values in the dict are
> > > mutable), this is what makes it difficult. Because the values are
> > > mutable I don't think you can tell the difference between a read and a
> > > write without making some sort of wrapper around them.
> > >
> > > Still, I'd love to hear how you guys would do it.
> > >
> > > Thanks,
> > > -Sandra
> > >
> > > --
> > > http://mail.python.org/mailman/listinfo/python-list
> > >
> >
> >
> > --
> > ----
> > Endless the world's turn, endless the sun's spinning
> > Endless the quest;
> > I turn again, back to my own beginning,
> > And here, find rest.
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > sandravandale at yahoo.com writes:
> > > Still, I'd love to hear how you guys would do it.
> >
> > Make a subclass of dict, or an object containing a dictionary, that
> > has a special __setattr__ method that traps updates and sets that
> > modification flag. There are contorted ways the caller can avoid
> > triggering the flag, but Python is not Java and it in general makes no
> > attempt to protect its objects against hostile code inside the
> > application.
> >
> > Your suggestion of using pickle is shaky in my opinion, since pickle's
> > docs don't guarantee that pickling the same dictionary twice will
> > return the same pickle both times. If it happens to work that way,
> > it's just an implementation accident.
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > "Robert" <kxroberto at googlemail.com> writes:
> >
> > > Neil Hodgson wrote:
> > >> Robert:
> > >>
> > >> > After "is_platform_unicode = <auto>", scintilla displays some unicode
> > >> > as you showed. but the win32-functions (e.g. MessageBox) still do not
> > >> > pass through wide unicode.
> > >>
> > >> Win32 issues are better discussed on the python-win32 mailing list
> > >> which is read by more of the people interested in working on this library.
> > >> http://mail.python.org/mailman/listinfo/python-win32
> > >> Patches that improve MessageBox in particular or larger sets of
> > >> functions in a general way are likely to be welcomed.
> > >
> > > ok. I have no patches so far as of now - maybe later. Played with
> > > Heller's ctypes for my urgent needs. That works correct with unicode
> > > like this:
> > >
> > >>>> import ctypes
> > >>>> ctypes.windll.user32.MessageBoxW(0,u'\u041f\u043e\u0448\u0443\u043a.txt',0,0)
> > > 1
> >
> > FYI, if you assign the argtypes attribute for ctypes functions, the
> > ascii/unicode conversion is automatic (if needed).
> >
> > So after these assignments:
> >
> > ctypes.windll.user32.MessageBoxW.argtypes = (c_int, c_wchar_p,
> > c_wchar_p, c_int)
> > ctypes.windll.user32.MessageBoxA.argtypes = (c_int, c_char_p,
> > c_char_p, c_int)
> >
> > both MessageBoxA and MessageBoxW can both be called with either ansi and
> > unicode strings, and should work correctly. By default the conversion
> > is done with ('msbc', 'ignore'), but this can also be changed,
> > ctypes-wide, with a call to ctypes.set_conversion_mode(encoding,errors).
> >
> > You have to pass None for the third parameter (if not a string).
> >
> > Thomas
> >
> email message attachment
> On Thu, 2006-01-12 at 10:40 +0100, python-list-request at python.org
> wrote:
> > [rurpy at yahoo.com]
> > > > > How well correlated in the use of map()-with-fill with the
> > > > > (need for) the use of zip/izip-with-fill?
> >
> > [raymond]
> > > > Close to 100%. A non-iterator version of izip_longest() is exactly
> > > > equivalent to map(None, it1, it2, ...).
> >
> > [rurpy at yahoo.com]
> > > If I use map()
> > > I can trivially determine the arguments lengths and deal with
> > > unequal length before map(). With iterators that is more
> > > difficult. So I can imagine many cases where izip might
> > > be applicable but map not, and a lack of map use cases
> > > not representative of izip use cases.
> >
> > You don't seem to understand what map() does. There is no need to
> > deal with unequal argument lengths before map(); it does the work for
> > you. It handles iterator inputs the same way. Meditate on this:
> >
> > def izip_longest(*args):
> > return iter(map(None, *args))
> >
> > Modulo arbitrary fill values and lazily evaluated inputs, the semantics
> > are exactly what is being requested. Ergo, lack of use cases for
> > map(None,it1,it2) means that izip_longest(it1,it2) isn't needed.
> >
> > Raymond
> >
> >
> --
> http://mail.python.org/mailman/listinfo/python-list
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