装饰蟒蛇
def our_decorator(func):
def function_wrapper(x):
print("Before calling " + func.__name__)
func(x)
print("After calling " + func.__name__)
return function_wrapper
@our_decorator
def foo(x):
print("Hi, foo has been called with " + str(x))
foo("Hi")
装饰器python
def our_decorator(func):
def function_wrapper(x):
print("Before calling " + func.__name__)
func(x)
print("After calling " + func.__name__)
return function_wrapper
@our_decorator
def foo(x):
print("Hi, foo has been called with " + str(x))
foo("Hi")
python函数装饰器
#Decorator are just function that take function as first
#parameter and return a function
def logging(f):
def decorator_function(*args, **kwargs):
print('executing '+f.__name__)
return f(*args, **kwargs)
return decorator_function
#Use it like this
@logging
def hello_world():
print('Hello World')
#calling hello_world() prints out:
#executing hello_world
#Hello World
例功能的装饰在蟒蛇
from functools import wraps
def logit(logfile='out.log'):
def logging_decorator(func):
@wraps(func)
def wrapped_function(*args, **kwargs):
log_string = func.__name__ + " was called"
print(log_string)
# Open the logfile and append
with open(logfile, 'a') as opened_file:
# Now we log to the specified logfile
opened_file.write(log_string + '\n')
return func(*args, **kwargs)
return wrapped_function
return logging_decorator
@logit()
def myfunc1():
pass
myfunc1()
# Output: myfunc1 was called
# A file called out.log now exists, with the above string
@logit(logfile='func2.log')
def myfunc2():
pass
myfunc2()
# Output: myfunc2 was called
# A file called func2.log now exists, with the above string