معرفی شرکت ها
DecoratorTools-1.8
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Class, function, and metaclass decorators -- even in Python 2.3 (now with source debugging for generated code)!
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | DecoratorTools-1.8 |
| نام | DecoratorTools |
| نسخه کتابخانه | 1.8 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Phillip J. Eby |
| ایمیل نویسنده | peak@eby-sarna.com |
| آدرس صفحه اصلی | http://cheeseshop.python.org/pypi/DecoratorTools |
| آدرس اینترنتی | https://pypi.org/project/DecoratorTools/ |
| مجوز | PSF or ZPL |
Want to use decorators, but still need to support Python 2.3? Wish you could
have class decorators, decorate arbitrary assignments, or match decorated
function signatures to their original functions? Want to get metaclass
features without creating metaclasses? How about synchronized methods?
"DecoratorTools" gets you all of this and more. Some quick examples::
# Method decorator example
from peak.util.decorators import decorate
class Demo1(object):
decorate(classmethod) # equivalent to @classmethod
def example(cls):
print "hello from", cls
# Class decorator example
from peak.util.decorators import decorate_class
def my_class_decorator():
def decorator(cls):
print "decorating", cls
return cls
decorate_class(decorator)
class Demo2:
my_class_decorator()
# "decorating <class Demo2>" will be printed when execution gets here
Installing DecoratorTools (using ``"easy_install DecoratorTools"`` or
``"setup.py install"``) gives you access to the ``peak.util.decorators``
module. The tools in this module have been bundled for years inside of PEAK,
PyProtocols, RuleDispatch, and the zope.interface package, so they have been
widely used and tested. (Unit tests are also included, of course.)
This standalone version is backward-compatible with the bundled versions, so you
can mix and match decorators from this package with those provided by
zope.interface, TurboGears, etc.
For complete documentation, see the `DecoratorTools manual`_.
Changes since version 1.7:
* The ``@template_function`` decorator now supports using a return value
instead of a docstring, in order to work with the "-OO" option to Python;
it's highly recommended that you update your template functions to use
a return value instead of a docstring. (The error message has also been
improved for the missing docstring case.)
* Fixed metaclass collisions in ``classy`` subclasses that mix in abstract
classes (e.g. ``collections.Sequence``) in Python 2.6+.
Changes since version 1.6:
* Added ``synchronized`` decorator to support locking objects during method
execution.
Changes since version 1.5:
* Added ``classy`` base class that allows you to do the most often-needed
metaclass behviors *without* needing an actual metaclass.
Changes since version 1.4:
* Added ``enclosing_frame()`` function, so that complex decorators that call
DecoratorTools functions while being called *by* DecoratorTools functions,
will work correctly.
Changes since version 1.3:
* Added support for debugging generated code, including the code generated
by ``rewrap()`` and ``template_function``.
Changes since version 1.2:
* Added ``rewrap()`` function and ``template_function`` decorator to support
signature matching for decorated functions. (These features are similar to
the ones provided by Michele Simionato's "decorator" package, but do not
require Python 2.4 and don't change the standard idioms for creating
decorator functions.)
* ``decorate_class()`` will no longer apply duplicate class decorator
callbacks unless the ``allow_duplicates`` argument is true.
Changes since version 1.1:
* Fixed a problem where instances of different struct types could equal each
other
Changes since version 1.0:
* The ``struct()`` decorator makes it easy to create tuple-like data
structure types, by decorating a constructor function.
.. _DecoratorTools Manual: http://peak.telecommunity.com/DevCenter/DecoratorTools#toc
.. _toc:
نحوه نصب
نصب پکیج whl DecoratorTools-1.8:
pip install DecoratorTools-1.8.whl
نصب پکیج tar.gz DecoratorTools-1.8:
pip install DecoratorTools-1.8.tar.gz