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")
python装饰器
# decorators are user to decorate functions like what to do before/after calling the function
import time
def delay_decorator(function):
def wrapper_function():
print("-----------------------I am gonna greet you--------------------------")
time.sleep(2)# waits for 2 seconds
function() # calls the function
time.sleep(1)# waits for 1 sec
print("------------------How do you feel about that greet?-------------------")
return wrapper_function
@delay_decorator
def greet():
print("Helllllloooooooooo")
greet()
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
python中的装饰器
'pass function which we want to decorate in decorator callable object'
def our_decorator(func): # func is function to be decorated by decorator
def wrapper(x): # x is parameter which is passed in func
if x%2==0:
return func(x)
else:
raise Exception("number should be even")
return wrapper
@ our_decorator
def func(x): # actual function
print(x,"is even")
func(2)
func(1)
' if you do not want to use @'
func=our_decorator(func)
func(2)
python装饰器
# Decorator with arguments
import functools
# First function takes the wanted number of repetition
def repeat(num_times):
# Second function takes the function
def decorator_repeat(func):
# Third function, the wrapper executes the function the number of times wanted
# functools decorator to print the true name of the function passed instead of "wrapper"
@functools.wraps(func)
def wrapper(*args, **kwargs):
for _ in range(num_times):
result= func(*args, **kwargs)
return result
return wrapper
return decorator_repeat
# Our function using the decorator
@repeat(num_times= 3)
def greet(name):
print(f"Hello {name}")
greet("thomas")
例功能的装饰在蟒蛇
from functools import wraps
def logit(func):
@wraps(func)
def with_logging(*args, **kwargs):
print(func.__name__ + " was called")
return func(*args, **kwargs)
return with_logging
@logit
def addition_func(x):
"""Do some math."""
return x + x
result = addition_func(4)
# Output: addition_func was called
python装饰器
import functools
# A decorator is a Higher order function "_with_logging"
# It takes the function to be decorated as its argument
# In order to pass in some arbitrary arguments, it must be wrapped into
# another HOF (Higher order function) that will receive the inputs
def with_logging(level=logging.DEBUG, msg = None):
def _with_logging(fn):
# 'wraps' is a HOF that will give fn's name and docs to decorated_fn i.e.
# decorated_fn.__name__ = fn.__name__
# help(decorated_fn) = help(fn)
@functools.wraps(fn)
def decorated_fn(*args, **kwargs):
res = fn(*args, **kwargs)
print("\n***************", f"\n{msg}", "\nExecuting with Args: ", *args, **kwargs)
logging.log(level, res)
return res
return decorated_fn
return _with_logging
# Used this way
@with_logging(level=logging.DEBUG, msg="Some awesome comment")
def hello_world(name):
return f'Hello World {name}'
# Results after calling hello_world("John")
#
# ***************
# Some awesome comment
# Executing with Args: John
# Hello World John