Three ways to implement decorative patterns in Python

Directory (?) [+]

function target

Write an adorner that can print the decorated function name, execution time, memory address

Predecessor Dependency Package

Import time
Import Functools
From decorator import Decorator

Based on common function nesting

def log1(fn):     def _wrapper(*args, **kwargs): start = time.clock() result = fn(*args, **kwargs) print("%s is invoked with time consumed: %s seconds at address %s" % (fn.__name__, str(time.time() - start), id(fn))) return result return _wrapper

• 1
• 2
• 3
• 4
• 5
• 6
• 7

• 1
• 2
• 3
• 4
• 5
• 6
• 7

Based on @decorator

@decoratordef log(f, *args, **kwargs): start = time.time() result = f(*args, **kwargs) print("%s is invoked with time consumed: %s at address %s" % (f.__name__, str(time.time() - start), id(f))) return result

• 1
• 2
• 3
• 4
• 5
• 6
• 7

• 1
• 2
• 3
• 4
• 5
• 6
• 7

Using @functools

def log2(f):    @functools.wraps(f) def wrapper(*args, **kwargs): start = time.clock() result = f(*args, **kwargs) print("%s is invoked with time consumed: %s seconds at address %s" % (f.__name__, str(time.time() - start), id(f))) return result return wrapper

• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8

• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8

Test

@log2def f11(x, y): return x**yresult = f11(2,3)print("result:" + str(result))

• 1
• 2
• 3
• 4
• 5
• 6

• 1
• 2
• 3
• 4
• 5
• 6

Switching to a different implementation, their effect is the same.

http://www.woaipu.com/shops/zuzhuan/61406
Http://www.znds.com/tv-967956-1-1.html
Http://www.znds.com/tv-967958-1-1.html

Three ways to implement decorative patterns in Python