Sowparnika Borde

Using dental floss as part of this routine ensures you remove all the gunk in between your teeth so you can rinse it all out This prevents

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It would require altering the easygui module, yes. I will get it modified!

** I have sent in a e-mail to the EasyGUI creator explaning this [12:12 PM, January 23/09]

** I just want to say that the possibility of this change happening - if at all, which I doubt - is very tiny. You see, EasyGUI is intended to be a simple, discrete way to create GUIs. I think that this addition wouldn't help any, especially since the interface is very sequential, so it would be confusing to new users. [12:19 PM, January 23/09]

** The EasyGUI creator said this in reply to my e-mail:

An easygui dialog should never exit" the application -- it should pass back" a value to the caller and let the" caller decide what to do.

But this is an interesting idea. " Rather than simply ignoring a click on" the "close" icon, easygui boxes could" return the same value that a click on" the "cancel" button would return. " I'll meditate on this.

-- Steve Ferg

I think that this is progress at least. [2:40 PM, January 23/09]

You need to use the __getitem__ method.

class MyClass:"    def __getitem__(self, key):"        return key * 2""myobj = MyClass()"myobj[3] #Output: 6

And if you're going to be setting values you'll need to implement the __setitem__ method too, otherwise this will happen:

>>> myobj[5] = 1"Traceback (most recent call last):"  File stdin, line 1, in 

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I think the problem is that you are expecting ndx to be evaluated when that simply never happens. Have you tried this:

{{ test.0.bar }}

I think that will do what you're looking for.

Are there goblins with this approach...?

Sort of, but they aren't the ones you're talking about, and I don't think it's because of nesting, or at least, it doesn't get worse after you get one level deep. What I mean by this is that all lookup parameters are literals. There's no way to change that. So while you might be able to develop custom template tags and pass them literals or variables to evaluate, you're really out of luck if you want to directly access some member of a variable based on the evaluated value of another value. (You could possibly write a template tag for this, but it won't work in all desired situations and is possibly more complicated than it's worth.)

For whatever it's worth, this looks like a pretty intentional facet of the templating language. I invite you to consider how the accessor should know whether {{ foo.bar }} should be read as foo[bar] or foo['bar']. It doesn't seem possible to make a meaningful judgment without complicating the syntax and that's something that django's template design is adamant about avoiding.

Most probably - yes. But don't assume you have to do multithreading. Have a look at the multiprocessing module. It already has an implementation of a Pool included, which is what you could use. And it basically solves the GIL problem (multithreading can run only 1 "standard python code" at any time - that's a very simplified explanation).

It will still fork a process per job, but in a different way than starting it all over again. All the initialisations done- and libraries loaded before entering the worker process will be inherited in a copy-on-write way. You won't do more initialisations than necessary and you will not waste memory for the same libarary/class if you didn't actually make it different from the pre-pool state.

So yes - looking only at this part, python will be wasting less resources and will use a "nicer" worker-pool model. Whether it will really be faster / less CPU-abusing, is hard to tell without testing, or at least looking at the code. Try it yourself.

Added: If you're worried about memory usage, python may also help you a bit, since it has a "proper" garbage collector, while in php GC is a not a priority and not that good (and for a good reason too).

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