yes, I see, but how can I measure this? Do you know the function that is
used?
Thanks for the help.
Em terça-feira, 17 de abril de 2012 05h39min24s UTC-3, Philip escreveu:
>
> Are you changing the definition of the function each time, or just
> effectively making duplicates of some common function under different names?
>
> You can do things like this:
>
> def make_funct(blah):
> def inner():
> print blah
>
> return inner
>
> Then make a few of them with different names and pre-assigned config via
> the parameters:
>
> f1 = make_funct('Hello World!')
> f2 = make_funct('Foo')
>
> And call 'em (with no parameters):
>
> f1() => prints Hello World!
> f2() => prints Foo
>
> Perhaps that's not what you're looking for though?
>
> In terms of performance, I suggest trying out both approaches and
> measuring the time taken to do it a few hundred or thousand times and
> compare.
>
> Regards
> Phil
>
>
> On 16/04/2012 17:55, Arruda wrote:
>
> Hummm, I see, thanks for that, I didn't know about type.
> And is there a way to generate functions too?(I was also doing it using
> exec).
>
> And do you have any idea of how can I see the difference in performance
> when using one or the other?
> Thanks.
>
> Em segunda-feira, 16 de abril de 2012 13h45min58s UTC-3, Jefferson Heard
> escreveu:
>>
>> Check https://github.com/JeffHeard/ga_dynamic_models. It may be similar
>> to what you're looking for. Even if you don't want the code, you can see a
>> way of dynamically generating models.
>>
>> On Mon, Apr 16, 2012 at 12:40 PM, Philip Mountifield <
>> pmountifi...@formac.net> wrote:
>>
>>> Did you know that you can use the type function to dynamiclly generate
>>> a class definition?
>>>
>>> See http://docs.python.org/library/functions.html?highlight=type#type
>>>
>>> From the example:
>>>
>>> >>> class X(object):... a = 1
>>> Is exactly the same as doing...>>> X = type('X', (object,), dict(a=1))
>>>
>>> No exec required...
>>>
>>> Regards
>>> Phil
>>>
>>>
>>>
>>> On 16/04/2012 17:19, Arruda wrote:
>>>
>>> I'm doing something like this to generate some models dynamically:
>>>
>>> SIMILAR_MODELS_TEMPLATE=
>>>> """
>>>> @some_decorator
>>>> class %(PREFIX)sModel (Some_Abs_model):
>>>> \"""%(DESCRIPTION)s
>>>> \"""
>>>> pass
>>>> """
>>>
>>>
>>> then I have a factory:
>>>
>>>> def similar_models_factory(prefix,description):
>>>> format_dict = {
>>>> 'PREFIX' : prefix,
>>>> 'DESCRIPTION' : description,
>>>> }
>>>> cls_name = "%sModel" % prefix
>>>> cls_source = SIMILAR_MODELS_TEMPLATE % format_dict
>>>>
>>>> exec(cls_source)
>>>> new_cls = locals().get(cls_name)
>>>> return new_cls
>>>
>>>
>>> And finally I have in the models.py:
>>>
>>>> from my_factories import similar_models_factory
>>>>
>>>
>>>
>>> SIMILAR_MODELS_LIST =(
>>>> {'prefix': 'Foo', 'desc' : 'Foo model and etc..',},
>>>> {'prefix': 'Bars', 'desc' : 'Bars model and etc..',},
>>>> .....
>>>> )
>>>>
>>>
>>>
>>> for smodel in SIMILAR_MODELS_LIST:
>>>> cls = similar_models_factory(smodels['prefix'], smodels['desc'])
>>>> vars()[cls.__name__] = cls
>>>
>>>
>>> And this gives my just what I want, but I read somewhere that if you
>>> do:
>>>
>>>> exec ""
>>>
>>>
>>> It would be too costly, and I would like to know if this would have some
>>> heavy load in my project(and if please, how can I calculate this, to
>>> compare?)
>>> Thanks!
>>> --
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>>>
>>> --
>>>
>>> Philip Mountifield
>>> Formac Electronics Ltd
>>> tel +44 (0) 1225 837333
>>> fax +44 (0) 1225 430995
>>> pmountifi...@formac.netwww.formac.netwww.telgas.net
>>>
>>> --
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>>
>> --
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>
>
> --
>
> Philip Mountifield
> Formac Electronics Ltd
> tel +44 (0) 1225 837333
> fax +44 (0) 1225 430995
> pmountifi...@formac.netwww.formac.netwww.telgas.net
>
>
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