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A python module of useful decorators

Project description

=======
Deckor
=======

Decorate your functions and with 'deckor'ators. A module created while learning decorators.

Installation
=============

pip install deckor


Decorators Supported:
======================

* timer : Measure execution time of functions

@deckor.timer
def fact(x):
if x <= 0:
return 1
return x*fact(x-1)

* cacheit : Cache intermediate results

@deckor.cacheit
def fact(x):
if x <= 0:
return 1
return x*fact(x-1)

* trace : Print the pretty recursion trace

@deckor.trace
def fib(x):
if x < 2:
return x
return fib(x-1)+fib(x-2)

fib(10)

Now, try trace with cacheit

@deckor.cacheit
@deckor.trace
def fib(x):
if x < 2:
return x
return fib(x-1)+fib(x-2)

fib(10)

* with_retries : function signature: with_retries(tries=5, delay=0, increment=0). Try execution of function with retries. Retry'tries' no of times. Delay of 'delay' seconds between retries. Increase the delay by 'increment' between retries

@with_retries(5)
def random_f():
try: r = requests.get("random")
except: return

* syncronize : Provides very basic syncronization. Note: Not free from race condition only for basic usage

import threading

lock = threading.Lock()
sample_list = []

@deckor.syncronize(lock)
def sample(sample_list):
sample_list.append(1)

#sample list is modified only after lock is acquired
#so, mdification is sample_list os thread safe

Project details


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