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decorators-2.0.7
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مشاهده بیشترتوضیحات
Quickly create flexible Python decorators
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | decorators-2.0.7 |
| نام | decorators |
| نسخه کتابخانه | 2.0.7 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Jay Marcyes |
| ایمیل نویسنده | jay@marcyes.com |
| آدرس صفحه اصلی | http://github.com/jaymon/decorators |
| آدرس اینترنتی | https://pypi.org/project/decorators/ |
| مجوز | MIT |
# Decorators
## The problem
Python has a few forms for decorators, you can have a plain simple decorator, with no arguments:
```python
@mydecorator
def foo(): pass
```
Or a decorator with some arguments:
```python
@mydecorator(1, 2)
def foo(): pass
```
You can even decorate a class:
```python
@mydecorator
class Foo(object): pass
```
and each form is a little different to implement. This was frustrating if you wanted to create easy to use decorators where the developer didn't need to worry about `@mydecorator()` working differently than `@mydecorator`.
## decorators module
The `decorators.Decorator` class allows you to easily create broad decorators that encompass all forms and all types (functions, methods, classes) using the same interface:
```python
import decorators
class mydecorator(decorators.Decorator):
def decorate_func(self, func, *dec_args, **dec_kwargs):
def decorator(*args, *kwargs):
print("You passed into the decorator these arguments", dec_args, dec_kwargs)
print("You passed into your function these arguments", args, kwargs)
print("Your function is", func)
return func(*args, **kwargs)
return decorator
def decorate_class(self, klass, *dec_args, **dec_kwargs):
print("You passed into the decorator these arguments", dec_args, dec_kwargs)
print("Your class is", klass)
return klass
```
You can then use this decorator:
```python
@mydecorator
def foo(): print "foo()"
@mydecorator(1, 2, boom="blam")
def bar(*args, **kwargs): print "bar()"
@mydecorator
class Baz(object): pass
@mydecorator(1, 2, boom="blam")
class Che(object): pass
```
Now, your decorator can decorate functions or classes, pass in arguments, or not, and you never have to worry about the subtle differences between the decorators, and best of all, you don't have to duplicate code.
## Other decorators
### FuncDecorator, ClassDecorator, and InstanceDecorator
The `Decorator` class is good if you want to create a decorator that is totally flexible, if you want to enforce your decorator only being used for a function/method, you can use `FuncDecorator`. If you want to only decorate a class, use `ClassDecorator`, and if you want to decorate every instance of a class, use `InstanceDecorator`.
Whatever child class you use, you override the `decorate` method to return your decorator function:
```python
import decorators
class only_func(FuncDecorator):
def decorate(self, func, *dec_a, **dec_kw):
def decorator(*args, **kwargs):
return func(*args, **kwargs)
return decorator
# this will work
@only_func
def foo(): pass
# this will fail
@only_func
class Foo(object): pass
```
### Property Decorator
The `property` decorator is a drop-in replacement for Python's built-in `property` decorator, with additional functionality:
```python
from decorators import property
class Foo(object):
@property
def bar(self):
"""This will act just like python's built-in @property decorator"""
return 1
@property(cached="_che")
def che(self):
"""This will cache the return value into _che and add a setter/deleter"""
return 1
```
### Classproperty Decorator
Allows you to create a property on the class:
```python
from decorators import classproperty
class Foo(object):
@classproperty
def bar(cls):
"""Available as Foo.bar"""
return 1
print(Foo.bar) # 1
```
## Installation
Use pip:
pip install decorators
Or, to get the latest and greatest from source:
pip install -U "git+https://github.com/Jaymon/decorators#egg=decorators"
نحوه نصب
نصب پکیج whl decorators-2.0.7:
pip install decorators-2.0.7.whl
نصب پکیج tar.gz decorators-2.0.7:
pip install decorators-2.0.7.tar.gz