#-------------------------------------------------------------------------------
# Name:        module1
# Purpose:
#
# Author:      Nir
#
# Created:     13/01/2012
# Copyright:   (c) Nir 2012
# Licence:     <your licence>
#-------------------------------------------------------------------------------
#!/usr/bin/env python

items = [1,2,4,56,67,3,2,5,6,7,43,34,4,6,7,3,2,2,3,4,4,333,45,6,5,4456,6,5,5,678,76,5,44,6778,654567,65,67,6,546,7,65,4,5]
filter_list = [lambda a: True, lambda a: a%2==0, lambda a:abs(a)<50, lambda a:a**2<100]

def niri(print_result=False):
    def filterCombine(a):
        for filt in filter_list:
            if not filt(a):
                return False
        return True

    # compare only the subset that is possibly similar
    l=[ each for each in items if filterCombine(each)]
    if (print_result):
        print l

def ido(print_result=False):

    # compare only the subset that is possibly similar
    l=list(filter(lambda x: all(func(x) for func in filter_list) and x or False, items))
    if (print_result):
        print l

def eran(print_result=False):
    l =reduce(lambda x,filt: filter(filt,x),filter_list,items)
    if (print_result):
        print l



if __name__ == '__main__':
    import time
    t=time.time()
    for i in range(100000):
        niri()
    print("time for niri: %f" % (time.time()-t))

    t=time.time()
    for i in range(100000):
        ido()
    print("time for ido: %f" % (time.time()-t))

    t=time.time()
    for i in range(100000):
        eran()
    print("time for eran: %f" % (time.time()-t))

    niri(True)
    ido(True)
    eran(True)


--------------------------------------------------------------------------------
Output
--------------------------------------------------------------------------------
time for niri: 3.481000
time for ido: 6.973000
time for eran: 1.919000
[2, 4, 2, 6, 4, 6, 2, 2, 4, 4, 6, 6, 6, 4]
[2, 4, 2, 6, 4, 6, 2, 2, 4, 4, 6, 6, 6, 4]
[2, 4, 2, 6, 4, 6, 2, 2, 4, 4, 6, 6, 6, 4]