I would like to propose an enhancement to function annotations. Here is
the motivating use case:
When using callbacks I would like to declare the signature once as a type
alias and use it to type hint both the function accepting the callback and
the callbacks themselves.
Currently I can declare
Hi All,
functools.singledispatch does not work on methods. There are 2 packages
that do this for methods one on GitHub only
https://gist.github.com/adamnew123456/9218f99ba35da225ca11 and my pypi
package https://pypi.org/project/methoddispatch/.
There are also a couple of stack overflow posts abou
019, 1:09 PM Tim Mitchell
> wrote:
>
>> Is it time to add singledispatch for methods to the core library?
>>
>
> What's the motivation for it, beyond the fact that it's possible?
>
> Regarding jargon, aren't Python's instance methods are already
&g
Hi All,
We have a modified version of singledispatch at work which works for
methods as well as functions. We have open-sourced it as methoddispatch
(pypi: https://pypi.python.org/pypi/methoddispatch).
IMHO I thought it would make a nice addition to python stdlib.
What does everyone else think?
Mark,
Windows folk do not type
pip install ipython
On windows it's much easier:
1) install pycharm (because it has UI for installing packages)
2) Go to settings > project interpreter
3) select the python interpeter you want to use
4) click the + button
5) search through the entire pypi listing f
tringIO()
> stats = pstats.Stats(self, stream=stream)
> stats.sort_stats(*sort_keys)
> if strip_dirs:
> stats.strip_dirs()
> stats.print_stats(*restrictions)
> return stream.getvalue()
>
> # Define __enter__ and __exit__ to enabl
hen and where to print the output? Can you post the source for
> your decorator?
>
> On Wed, Nov 2, 2016 at 4:52 PM, Tim Mitchell
> wrote:
>
>> I use an @profile() decorator for almost all my profiling. If you want
>> to profile function foo you just decorate it and re-
