- Email:
- License:
Zope Public License, v2.1
Motivation
Using method decorators and descriptors like property, we can easily create computed attributes:
>>> class JamesBrown(object): ... @property ... def feel(self): ... return self._feel
An attribute like this cannot be written, though. You would have to do something like this:
>>> class JamesBrown(object): ... def _getFeel(self): ... return self._feel ... def _setFeel(self, feel): ... self._feel = feel ... feel = property(_getFeel, _setFeel)
The problem with this approach is that it leaves the getter and setter sitting around in the class namespace. It also lacks the compact spelling of a decorator solution. To cope with that, some people like to write:
>>> class JamesBrown(object): ... @apply ... def feel(): ... def get(self): ... return self._feel ... def set(self, feel): ... self._feel = feel ... return property(get, set)
This spelling feels rather cumbersome, apart from the fact that apply is going to go away in Python 3000.
Goal
There should be a way to declare a read & write property and still use the compact and easy decorator spelling. The read & write properties should be as easy to use as the read-only property. We explicitly don’t want that immediately called function that really just helps us name the attribute and create a local scope for the getter and setter.
Class properties
Class properties let you define properties via the class statement. You define a dynamic property as if you were implementing a class. This works like this:
>>> from classproperty import classproperty >>> class JamesBrown(object): ... class feel(classproperty): ... def __get__(self): ... return self._feel ... def __set__(self, feel): ... self._feel = feel>>> i = JamesBrown() >>> i.feel Traceback (most recent call last): ... AttributeError: 'JamesBrown' object has no attribute '_feel'>>> i.feel = "good" >>> i.feel 'good'
Of course, deleters are also possible:
>>> class JamesBrown(object): ... class feel(classproperty): ... def __get__(self): ... return self._feel ... def __set__(self, feel): ... self._feel = feel ... def __delete__(self): ... del self._feel>>> i = JamesBrown() >>> i.feel = "good" >>> del i.feel >>> i.feel Traceback (most recent call last): ... AttributeError: 'JamesBrown' object has no attribute '_feel'
Release files for classproperty 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| classproperty-1.0.tar.gz | 2.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| classproperty-1.0-py2.4.egg | Legacy Egg format | - | - | Details |
Total release size: 5.1 kB
Release files / classproperty-1.0.tar.gz
| Download URL | classproperty-1.0.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c2caea61ed431ade216aed9f5253225a23b383252cc954fb254ea9487cea7056
|
|
BLAKE2b-256 checksum How to use checksums |
2601d0590085d6dcf0182a6ad43b89826726f5d01b6679745c468c78c6b74197
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / classproperty-1.0-py2.4.egg
| Download URL | classproperty-1.0-py2.4.egg |
|---|---|
| Size | 2.8 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
65d6faa6c6af6882c3f794ccef46f303ddcb22782a6a303c0ddda0cf2ca55e35
|
|
BLAKE2b-256 checksum How to use checksums |
39165766696472cab336f44ce826384e0a183e0018e0c37079b11a23df93cf04
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |