Rafe a écrit :
On Aug 16, 1:22 am, Bruno Desthuilliers
<[EMAIL PROTECTED]> wrote:
Rafea écrit :

Hi,
I've been thinking in circles about these aspects of Pythonic design
and I'm curious what everyone else is doing and thinks. There are 3
issues here:
1) 'Declaring' attributes
There's nothing like "declaration" of variables/attributes/whatever in
Python.

- I always felt it was good code practice to
declare attributes in a section of the class namespace. I set anything
that is constant but anything variable is set again  in __init__():
Class A(object):
    name = "a name"
    type = "a typee"
    childobject = None
    def __init__(self, obj):
        self.childobject = object
This makes it easy to remember and figure out what is in the class.
Granted there is nothing to enforce this, but that is why I called it
'code practice'. Do you agree or is this just extra work?
It's not only extra work, it's mostly a WTF. You create class attributes
for no other reasons than to mimic some other mainstream languages. If I
was to maintain such code, I'd loose valuable time wondering where these
class attributes are used.



2) Internal attributes (starting with 2x'_') aren't inherited.
Yes they are. But you need to manually mangle them when trying to access
them from a child class method. FWIW, that *is* the point of
__name_mangling  : making sure these attributes won't be accidentally
overwritten in a child class.

Do you
just switch to a single '_' when you want an "internal" attribute
inherited? These are attributes I want the classes to use but not the
user of these classes. Of course, like anything else in Python, these
aren't really private. It is just a convention, right? (The example
for #3 shows this.)
Yes. The (*very* strong) convention is that
_names_with_simple_leading_underscore denote implementation attributes.



3) It isn't possible to override a piece of a Property Descriptor. To
get around this, I define the necessary functions in the class but I
define the descriptor in the __new__() method so the inherting class
can override the methods. Am I overlooking some basic design principle
here? This seems like a lot of work for a simple behavior. Example:
class Base(object):
    def __new__(cls):
        setattr(cls,
                "state",
                property(fget = cls._Get_state,
                         fset = cls._Set_state,
                         fdel = None,
                         doc  = cls._doc_state))
        obj = super(Base, cls).__new__(cls)
        return obj
    state = None    # Set in __new__()
    _state = True
    _doc_state = "The state of this object"
    def _Get_state(self): return self._state
    def _Set_state(self, value): self._state = value
pep08 : attribute names (including methods) should be all_lower.

class Child(Base):
    def _Get_state(self):
        # Do some work before getting the state.
        print "Getting the state using the child's method"
        return self._state
print Child().state
How often do you really need to override a property ? (hint : as far as
I'm concerned, it never happened so far). Now you have two solutions :
either redefine the whole property in the derived class, or, if you
really intend your property to be overriden, provide a "template method"
hook.

I'd say you're making things much more complicated than they need to be.


Thanks Bruno, and everyone ! These are exactly the type of hard
answers I was hoping for. I'm mostly converted but my brain still
needs a Pythonic push from time to time. Looks like have some some
clean up to perform...with confidence.

I'm interested to see the implementation of getter, etc overrides in
2.6/3.0. I have two classes that could be simplified with this. For
example, I have a class which does a lot of work and has about 5 key
properties. I want to inherit it, and just trigger an event (update
something only stored in the child) after 4 of these attributes are
finished being set. I was thinking about using a callback which is
empty in the parent

IOW : a template method. Probably one of the most known, most evident and most useful design pattern. But...

or __setattr__() (but I hat using this unless I
have to, it is still troublesome to me).


Don't use __setattr__ if you can avoid it. It *is* troublesome - and costly too.

Now, remember that the property class is just an handy shortcut for the most common use of computed attributes. The more generic mechanism properties are built upon - the descriptor protocol - is nothing complicated, so when you hit the limits of properties (or when property-based code becomes too tangled/messy/whatever), you can write your own custom descriptor objects.
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