#!/usr/bin/python
import random, timeit

data = [random.randint(0, 511) for i in xrange(0, 1000000)]
data10 = data[0:10]
data100 = data[0:100]
data1000 = data[0:1000]
data10000 = data[0:10000]
data100000 = data[0:100000]

def f(x,y):
  return y < 255 and x
def alt_f(lst):
  return reduce(f, lst, True)
def alt_l(lst):
  return reduce(lambda x, y: y < 255 and x, lst, True)
def alt_m(lst):
  return max(lst) < 255

def profile(alt, num):
  reps = 10000000/num
  print alt, num, timeit.Timer(
    "%s(data%u)" % (alt, num),
    "from __main__ import alt_f, alt_l, alt_m, data10, data100, data1000, data10000, data100000"
  ).timeit(number=reps) / reps * 1e6, "us"

profile("alt_f", 10)
profile("alt_f", 100)
profile("alt_f", 1000)
profile("alt_f", 10000)
profile("alt_l", 10)
profile("alt_l", 100)
profile("alt_l", 1000)
profile("alt_l", 10000)
profile("alt_m", 10)
profile("alt_m", 100)
profile("alt_m", 1000)
profile("alt_m", 10000)

##############################################################
D:\Desktop Environment\Desktop>maxing.py
alt_f 10 3.27713689868 us
alt_f 100 26.3104444839 us
alt_f 1000 248.523653146 us
alt_f 10000 2478.53707664 us
alt_l 10 3.46616846555 us
alt_l 100 26.5871221063 us
alt_l 1000 248.279823274 us
alt_l 10000 2472.36925363 us
alt_m 10 1.01346847155 us
alt_m 100 5.72555729848 us
alt_m 1000 48.3984417014 us
alt_m 10000 482.639832716 us