def run_experiments(N, ndice, nsix):
# Pure Python versions
from dice6 import dice6_py, dice6_vec1, dice6_vec2
# Try to import compiled versions
try:
from _dice6_cy import dice6_cy1, dice6_cy2, dice6_cy3
from _dice6_c1 import dice6 as dice6_c_f2py
from _dice6_c2 import dice6_cwrap as dice6_c_cy
except ImportError:
raise ImportError('Extension modules needs to be built. Run make.sh!')
# Benchmark the various methods
from scitools.misc import hardware_info
import pprint; pprint.pprint(hardware_info())
timings = {}
t0 = time.clock()
p = dice6_cy2(N, ndice, nsix)
t1 = time.clock()
timings['Cython numpy.random'] = t1-t0
print '\n\nLoops in Cython with numpy.random: ', t1-t0, p
t0 = time.clock()
p = dice6_cy3(N, ndice, nsix)
t1 = time.clock()
timings['Cython stdlib.rand'] = t1-t0
print '\n\nLoops in Cython with stdlib.rand: ', t1-t0, p
t0 = time.clock()
p = dice6_c_f2py(N, ndice, nsix)
t1 = time.clock()
timings['C via f2py'] = t1-t0
print 'Loops in C, interfaced via f2py ', t1-t0, p
t0 = time.clock()
p = dice6_c_cy(N, ndice, nsix)
t1 = time.clock()
timings['C via Cython'] = t1-t0
print 'Loops in C, interfaced via Cython ', t1-t0, p
capp = './dice6.capp'
if not os.path.isfile(capp):
raise Exception('stand-alone C program is not compiled!')
t0 = time.time()
os.system('time %s %d' % (capp, N))
t1 = time.time()
timings['C program'] = t1-t0
print 'Loops in C, stand-alone C program %.2f' % (t1-t0)
t0 = time.clock()
p = dice6_py(N, ndice, nsix)
t1 = time.clock()
timings['Python, plain'] = t1-t0
print 'Loops in Python: ', t1-t0, p
t0 = time.clock()
p = dice6_vec1(N, ndice, nsix)
t1 = time.clock()
timings['Python, vectorized v1'] = t1-t0
print 'Vectorized Python v1: ', t1-t0, p
t0 = time.clock()
p = dice6_vec2(N, ndice, nsix)
t1 = time.clock()
timings['Python, vectorized v2'] = t1-t0
print 'Vectorized Python v2: ', t1-t0, p
t0 = time.clock()
p = dice6_cy1(N, ndice, nsix)
t1 = time.clock()
timings['Cython random.randint'] = t1-t0
print 'Loops in Cython with random.randint:', t1-t0, p
cpu_best = min([timings[m] for m in timings])
for method in timings:
print '%s: %.2f' % (method, timings[method]/cpu_best)
# Profiling of dice6_cy1
print '\n\n'
import cProfile, pstats
cProfile.runctx('dice6_cy1(N, ndice, nsix)', globals(), locals(), '.prof')
s = pstats.Stats('.prof')
s.strip_dirs().sort_stats('time').print_stats(30)
from _dice6_cy import dice6_cy3 import time t0 = time.clock() p = dice6_cy3(450000, 6, 4) t1 = time.clock() print t1 - t0
def run_experiments(N, ndice, nsix):
# Pure Python versions
from dice6 import dice6_py, dice6_vec1, dice6_vec2
# Try to import compiled versions
try:
from _dice6_cy import dice6_cy1, dice6_cy2, dice6_cy3
from _dice6_c1 import dice6 as dice6_c_f2py
from _dice6_c2 import dice6_cwrap as dice6_c_cy
except ImportError:
raise ImportError('Extension modules needs to be built. Run make.sh!')
# Benchmark the various methods
from scitools.misc import hardware_info
import pprint
pprint.pprint(hardware_info())
timings = {}
t0 = time.clock()
p = dice6_cy2(N, ndice, nsix)
t1 = time.clock()
timings['Cython numpy.random'] = t1 - t0
print '\n\nLoops in Cython with numpy.random: ', t1 - t0, p
t0 = time.clock()
p = dice6_cy3(N, ndice, nsix)
t1 = time.clock()
timings['Cython stdlib.rand'] = t1 - t0
print '\n\nLoops in Cython with stdlib.rand: ', t1 - t0, p
t0 = time.clock()
p = dice6_c_f2py(N, ndice, nsix)
t1 = time.clock()
timings['C via f2py'] = t1 - t0
print 'Loops in C, interfaced via f2py ', t1 - t0, p
t0 = time.clock()
p = dice6_c_cy(N, ndice, nsix)
t1 = time.clock()
timings['C via Cython'] = t1 - t0
print 'Loops in C, interfaced via Cython ', t1 - t0, p
capp = './dice6.capp'
if not os.path.isfile(capp):
raise Exception('stand-alone C program is not compiled!')
t0 = time.time()
os.system('time %s %d' % (capp, N))
t1 = time.time()
timings['C program'] = t1 - t0
print 'Loops in C, stand-alone C program %.2f' % (t1 - t0)
t0 = time.clock()
p = dice6_py(N, ndice, nsix)
t1 = time.clock()
timings['Python, plain'] = t1 - t0
print 'Loops in Python: ', t1 - t0, p
t0 = time.clock()
p = dice6_vec1(N, ndice, nsix)
t1 = time.clock()
timings['Python, vectorized v1'] = t1 - t0
print 'Vectorized Python v1: ', t1 - t0, p
t0 = time.clock()
p = dice6_vec2(N, ndice, nsix)
t1 = time.clock()
timings['Python, vectorized v2'] = t1 - t0
print 'Vectorized Python v2: ', t1 - t0, p
t0 = time.clock()
p = dice6_cy1(N, ndice, nsix)
t1 = time.clock()
timings['Cython random.randint'] = t1 - t0
print 'Loops in Cython with random.randint:', t1 - t0, p
cpu_best = min([timings[m] for m in timings])
for method in timings:
print '%s: %.2f' % (method, timings[method] / cpu_best)
# Profiling of dice6_cy1
print '\n\n'
import cProfile, pstats
cProfile.runctx('dice6_cy1(N, ndice, nsix)', globals(), locals(), '.prof')
s = pstats.Stats('.prof')
s.strip_dirs().sort_stats('time').print_stats(30)