On Friday, November 8, 2013 12:48:04 PM UTC-5, Pascal Bit wrote: > Here's the code: > > from random import random > from time import clock > > s = clock() > > for i in (1, 2, 3, 6, 8): > M = 0 > N = 10**i > > for n in xrange(N): > r = random() > if 0.5 < r < 0.6: > M += 1 > > k = (N, float(M)/N) > > print (clock()-s) > > Running on win7 python 2.7 32 bit it uses around 30 seconds avg. > Running on xubuntu, 32 bit, on vmware on windows 7: 20 seconds! > The code runs faster on vm, than the computer itself... > The python version in this case is 1.5 times faster... > I don't understand. > > What causes this?
The docs for time.clock() make clear that the meaning on Windows and Unix are different: "On Unix, return the current processor time as a floating point number expressed in seconds." "On Windows, this function returns wall-clock seconds elapsed since the first call to this function..." Try the experiment again with time.time() instead. --Ned. -- https://mail.python.org/mailman/listinfo/python-list
