keakon的涂鸦馆

import psyco
import test.pystone

print 'Befor psyco'

for i in xrange(10):
  test.pystone.main()


psyco.bind(test.pystone.main)
print 'After psyco'

for i in xrange(10):
  test.pystone.main()

Befor psyco
Pystone(1.1) time for 50000 passes = 1.23694
This machine benchmarks at 40422.2 pystones/second
Pystone(1.1) time for 50000 passes = 1.16988
This machine benchmarks at 42739.3 pystones/second
Pystone(1.1) time for 50000 passes = 1.16784
This machine benchmarks at 42814 pystones/second
Pystone(1.1) time for 50000 passes = 1.16724
This machine benchmarks at 42836.1 pystones/second
Pystone(1.1) time for 50000 passes = 1.16481
This machine benchmarks at 42925.4 pystones/second
Pystone(1.1) time for 50000 passes = 1.16854
This machine benchmarks at 42788.4 pystones/second
Pystone(1.1) time for 50000 passes = 1.17375
This machine benchmarks at 42598.7 pystones/second
Pystone(1.1) time for 50000 passes = 1.17071
This machine benchmarks at 42709.1 pystones/second
Pystone(1.1) time for 50000 passes = 1.16908
This machine benchmarks at 42768.6 pystones/second
Pystone(1.1) time for 50000 passes = 1.16718
This machine benchmarks at 42838.3 pystones/second
After psyco
Pystone(1.1) time for 50000 passes = 0.203744
This machine benchmarks at 245406 pystones/second
Pystone(1.1) time for 50000 passes = 0.211578
This machine benchmarks at 236319 pystones/second
Pystone(1.1) time for 50000 passes = 0.214457
This machine benchmarks at 233146 pystones/second
Pystone(1.1) time for 50000 passes = 0.215115
This machine benchmarks at 232433 pystones/second
Pystone(1.1) time for 50000 passes = 0.212459
This machine benchmarks at 235340 pystones/second
Pystone(1.1) time for 50000 passes = 0.215476
This machine benchmarks at 232045 pystones/second
Pystone(1.1) time for 50000 passes = 0.212989
This machine benchmarks at 234753 pystones/second
Pystone(1.1) time for 50000 passes = 0.213208
This machine benchmarks at 234512 pystones/second
Pystone(1.1) time for 50000 passes = 0.215076
This machine benchmarks at 232476 pystones/second
Pystone(1.1) time for 50000 passes = 0.213314
This machine benchmarks at 234396 pystones/second

import time, psyco

def f(n):
  sum = 0
  for i in xrange(n):
    sum += n
  return sum

def g(n, m):
  sum = 0
  for i in xrange(1, m):
    sum += n ** i
  return sum

print 'Befor psyco'

t = time.time()
sum = f(10000000)
if sum:
  print time.time() - t

t = time.time()
sum = g(3, 10000)
if sum:
  print time.time() - t

psyco.bind(f)
psyco.bind(g)
print 'After psyco'

t = time.time()
sum = f(10000000)
if sum:
  print time.time() - t

t = time.time()
sum = g(3, 10000)
if sum:
  print time.time() - t

Befor psyco
3.18700003624
2.375
After psyco
1.75
2.3599998951