Simulation of method for increasing precision of time.time() on Windows

runSimLots.sh

for i in `seq 1 100`;
do
	python sim.py
done

sim.py

import time
clock1 = time.clock()
time1 = time.time()

true_offset = time1 - clock1

import numpy

offsets = []
waits = []

def winTime(): #to simulate 1ms precision 
	return int(time.time()*1000)/1000.0


#collect a bunch of offsets
for i in range(1000):
	last = winTime()
	clockTime1 = time.clock()
	this = last
	while (this-last)==0:
		this = winTime()
		clockTime2 = time.clock()
	offsets.append( this - clockTime2 )
	waits.append(clockTime2-clockTime1)

waits = numpy.array(waits)
offsets = numpy.array(offsets)
offset_estimate = offsets[numpy.argmin(numpy.absolute(waits-0.001))]
print "%0.30f" % (offset_estimate-true_offset)