#!/usr/bin/env python
import timeit

first_transformation = lambda x: x + 1
second_transformation = lambda x: x + 1
third_transformation = lambda x: x + 1

n = 1000
my_list = list(range(1000))

def timeit_args(f, args, *timeit_args, **timeit_kwargs):
    def testf():
        f(*args)
    return timeit.timeit(testf, *timeit_args, **timeit_kwargs)

try:
    xrange
except NameError:
    xrange = range # Python 3

def one_pass(my_list):
    for i in xrange(0, len(my_list)):
        my_list[i] = first_transformation(my_list[i])
        my_list[i] = second_transformation(my_list[i])
        my_list[i] = third_transformation(my_list[i])
    return my_list

print('one_pass: ' + str(timeit_args(one_pass, [my_list], number=n)))

def multi_pass(my_list):
    range_end = len(my_list)
    for i in xrange(0, range_end):
       my_list[i] = first_transformation(my_list[i])

    for i in xrange(0, range_end):
       my_list[i] = second_transformation(my_list[i])

    for i in xrange(0, range_end):
       my_list[i] = third_transformation(my_list[i])

    return my_list

print('multi_pass: ' + str(timeit_args(multi_pass, [my_list], number=n)))

def simple(my_list):
    return [third_transformation(second_transformation(first_transformation(e))) for e in my_list]

print('simple: ' + str(timeit_args(simple, [my_list], number=n)))