Fixes to syborg-graphicswrapper.vcproj
These changes allow syborg-graphicswrapper to link against the hostthreadadapter and khronosapiwrapper libraries built by the graphics.simulator component.
The .vcproj file uses relative paths, which requires that the following three packages are laid out as follows:
os/
graphics
adapt/
graphics.simulator
qemu
from pybench import Test
class TupleSlicing(Test):
version = 2.0
operations = 3 * 25 * 10 * 7
rounds = 500
def test(self):
r = range(25)
t = tuple(range(100))
for i in xrange(self.rounds):
for j in r:
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
m = t[50:]
m = t[:25]
m = t[50:55]
m = t[:-1]
m = t[1:]
m = t[-10:]
m = t[:10]
def calibrate(self):
r = range(25)
t = tuple(range(100))
for i in xrange(self.rounds):
for j in r:
pass
class SmallTuples(Test):
version = 2.0
operations = 5*(1 + 3 + 6 + 2)
rounds = 90000
def test(self):
for i in xrange(self.rounds):
t = (1,2,3,4,5,6)
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
l = list(t)
t = tuple(l)
t = (1,2,3,4,5,6)
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
l = list(t)
t = tuple(l)
t = (1,2,3,4,5,6)
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
l = list(t)
t = tuple(l)
t = (1,2,3,4,5,6)
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
l = list(t)
t = tuple(l)
t = (1,2,3,4,5,6)
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c,d,e,f = t
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
a,b,c = t[:3]
l = list(t)
t = tuple(l)
def calibrate(self):
for i in xrange(self.rounds):
pass