def benchmark_wam1(url):
""" Benchmark PDF WAM implementation 1 for the time
it takes to perform the operation """
print "Benchmarking PDF-WAM1 (SOAPpy) using", url
proxy = SOAPpy.SOAPProxy('http://loft2492.serverloft.com:8893', 'eGovMon')
with bench.bench('getPDFContent'):
proxy.getPDFContent(url)
with bench.bench('checkacc'):
proxy.checkacc(url)
def benchmark_wam2(url):
""" Benchmark PDF WAM implementation 2 for the time
it takes to perform the operation """
print "Benchmarking PDF-WAM2 (tornado) using", url
proxy = suds.client.Client(
'http://loft2492.serverloft.com:8894/PdfContentService?wsdl')
with bench.bench('getPDFContent'):
proxy.service.getPDFContent(url)
proxy = suds.client.Client(
'http://loft2492.serverloft.com:8894/PdfWamService?wsdl')
with bench.bench('checkacc'):
print proxy.service.checkacc(url)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--results-dir', required=True)
parser.add_argument('--benchmark', required=True)
args = parser.parse_args()
benchmarks = {
'mixturemodel': (mixturemodel.latent, {
'--groups': range(10, 101, 10),
'--entities-per-group': [10, 100],
'--features': 10,
'--target-runtime': 10,
}),
'irm': (irm.latent, {
'--groups': range(10, 101, 10),
'--entities-per-group': [10],
'--features': 1,
'--target-runtime': 10,
}),
}
if args.benchmark not in benchmarks:
raise ValueError(
"invalid benchmark: {}".format(args.benchmark))
mkdirp(args.results_dir)
def format_args(args):
toks = []
for k, v in args.iteritems():
if hasattr(v, '__iter__'):
for v0 in v:
toks.extend([k, str(v0)])
else:
toks.extend([k, str(v)])
return toks
latent, benchargs = benchmarks[args.benchmark]
d = os.path.join(args.results_dir, args.benchmark)
mkdirp(d)
nextid = get_next_id(d)
benchargs = format_args(benchargs)
benchargs.extend([
'--output',
os.path.join(d, "{id}.json".format(id=nextid))])
bench(benchargs, latent)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--results-dir', required=True)
parser.add_argument('--benchmark', required=True)
args = parser.parse_args()
benchmarks = {
'mixturemodel': (mixturemodel.latent, {
'--groups': range(10, 101, 10),
'--entities-per-group': [10, 100],
'--features': 10,
'--target-runtime': 10,
}),
'irm': (irm.latent, {
'--groups': range(10, 101, 10),
'--entities-per-group': [10],
'--features': 1,
'--target-runtime': 10,
}),
}
if args.benchmark not in benchmarks:
raise ValueError("invalid benchmark: {}".format(args.benchmark))
mkdirp(args.results_dir)
def format_args(args):
toks = []
for k, v in args.iteritems():
if hasattr(v, '__iter__'):
for v0 in v:
toks.extend([k, str(v0)])
else:
toks.extend([k, str(v)])
return toks
latent, benchargs = benchmarks[args.benchmark]
d = os.path.join(args.results_dir, args.benchmark)
mkdirp(d)
nextid = get_next_id(d)
benchargs = format_args(benchargs)
benchargs.extend(
['--output',
os.path.join(d, "{id}.json".format(id=nextid))])
bench(benchargs, latent)
def conflict(entry_point_function,
tcfg_map,
conflict_files,
old_ilp,
new_ilp,
dir_name,
sol_file,
emit_conflicts=False,
do_cplex=False,
interactive=False,
silent_cplex=False,
preempt_limit=None,
default_phantom_preempt=False):
if preempt_limit == None:
preempt_limit = 5
if default_phantom_preempt:
conflict_files.append(
convert_loop_bounds.phantomPreemptsAnnoFileName(dir_name))
#initialise graph_to_graph so we get immFunc
#load the loop_counts
print 'conflict.conflict: sol_file %s' % sol_file
bench.bench(dir_name,
entry_point_function,
False,
True,
False,
parse_only=True)
#we need the loop data
immFunc().process()
global bbAddr
bbAddr = immFunc().bbAddr
read_tcfg_map(tcfg_map)
if interactive:
assert False, 'Halt'
if emit_conflicts:
print 'new_ilp:%s' % new_ilp
print_constraints(conflict_files, old_ilp, new_ilp, sol_file,
preempt_limit)
if do_cplex:
cplex_ret = cplex.cplexSolve(new_ilp,
silent=silent_cplex,
sol_file=sol_file)
print 'cplex_ret: %s' % cplex_ret
return cplex_ret
def conflict(entry_point_function, tcfg_map, conflict_files, old_ilp, new_ilp, dir_name, sol_file, emit_conflicts=False, do_cplex=False, interactive=False, silent_cplex=False, preempt_limit= None, default_phantom_preempt=False):
if preempt_limit == None:
preempt_limit = 5
if default_phantom_preempt:
conflict_files.append(convert_loop_bounds.phantomPreemptsAnnoFileName(dir_name))
#initialise graph_to_graph so we get immFunc
#load the loop_counts
print 'conflict.conflict: sol_file %s' % sol_file
bench.bench(dir_name, [entry_point_function],False,True,False,parse_only=True )
#we need the loop data
immFunc().process()
global bbAddr
bbAddr = immFunc().bbAddr
read_tcfg_map(tcfg_map)
if interactive:
assert False, 'Halt'
if emit_conflicts:
print 'new_ilp:%s' % new_ilp
print_constraints(conflict_files, old_ilp, new_ilp, sol_file, preempt_limit)
if do_cplex:
cplex_ret = cplex.cplexSolve(new_ilp,silent=silent_cplex,sol_file=sol_file)
print 'cplex_ret: %s' % cplex_ret
return cplex_ret
from bench import bench
def test():
def task():
for _ in range(100):
yield
t1, t2, t3 = task(), task(), task()
for _ in range(100):
next(t1)
next(t2)
next(t3)
print(int(bench(10000)))
index = self.binary_search(value, self.values, 0, len(self.values))
# index cannot be larger than the len(self.values)
if index == len(self.values) or value != self.values[index]:
self.values.insert(index, value)
def contains(self, value):
index = self.binary_search(value, self.values, 0, len(self.values))
return index < len(self.values) and value == self.values[index]
def binary_search(self, value, l, start, end):
middle = (start + end)/2
if end == start:
return middle
elif l[middle] == value:
return middle
# We don't need to consider middle anymore because we ruled it
# out above. So we recurse with middle +/- 1.
elif l[middle] < value:
return self.binary_search(value, l, middle + 1, end)
elif l[middle] > value:
return self.binary_search(value, l, start, middle)
if __name__ == "__main__":
print "sortedlistset is the main"
bench.bench(SortedListSet)
sys.exit(-1)
else:
entry_point_function = sys.argv[2]
gen_heads = False
load_counts = False
interactive = False
automated = False
conflict_file = None
dir_name = sys.argv[1]
print 'dir_name: %s' % dir_name
flag = sys.argv[3]
assert flag in ['--l','--L','--i', '--x', '--xL']
if flag == '--l':
gen_heads = True
bench.bench(dir_name, entry_point_function, gen_heads, load_counts,interactive)
sys.exit(0)
if flag == '--L':
load_counts = True
if flag == '--i':
interactive = True
if flag == '--x' or flag == '--xL':
if len(sys.argv) < 4:
printHelp()
sys.exit(-1)
asm_fs = bench.init(dir_name)
if flag == '--x':
import convert_loop_bounds
analyseFunction(entry_point_function,asm_fs, dir_name, True, False, False)
print "loop heads generated"
convert_loop_bounds.convert_loop_bounds(dir_name)
import timeit
import bench, modular_exp
REPEAT_COUNT = 20
for power_digits in range(1, 7):
x = 7**400
power = 10**power_digits
modulus = 11**300
print("x 7^400, power 10^%d, modulus 11^300: " % \
(power_digits))
print('\n'.join(map(lambda x: "%s: time %f s, memory %f MB" % x, \
bench.bench([modular_exp.square_modular_exp, \
modular_exp.generic_modular_exp], \
[x, power, modulus], REPEAT_COUNT))))
for power_digits in [7]:
x = 7**400
power = 10**power_digits
modulus = 11**300
print("x 7^400, power 10^%d, modulus 11^300: " % \
(power_digits))
print('\n'.join(map(lambda x: "%s: time %f s, memory %f MB" % x, \
bench.bench([modular_pow.square_modular_pow], \
[x, power, modulus], REPEAT_COUNT))))
for power_digits in range(100, 1000, 100):
x = 7**400
from bench import bench print(bench(100000, ''' def fib(n, a=0, b=1): if n > 1: fib(n-1, b, a+b) return a if n == 0 else b ''', ''' fib(20) '''))
from bench import bench
print(
bench(
10, '''
def fib(n, a, b):
return a if n == 0 else b if n == 1 else fib(n-1, b, a+b)
''', '''
for _ in range(10000):
fib(20, 0, 1)
'''))
from bench import bench
print(
bench(
10, '''
class Counter():
def __init__(self):
self.n = 0
def inc(self):
self.n += 1
def dec(self):
self.n -= 1
''', '''
for _ in range(1000):
c = Counter()
c.inc()
c.dec()
'''))
sys.exit(-1)
else:
entry_point_function = sys.argv[2]
gen_heads = False
load_counts = False
interactive = False
automated = False
conflict_file = None
dir_name = sys.argv[1]
print 'dir_name: %s' % dir_name
flag = sys.argv[3]
assert flag in ['--l', '--L', '--i', '--x', '--xL']
if flag == '--l':
gen_heads = True
bench.bench(dir_name, entry_point_function, gen_heads, load_counts,
interactive)
sys.exit(0)
if flag == '--L':
load_counts = True
if flag == '--i':
interactive = True
if flag == '--x' or flag == '--xL':
if len(sys.argv) < 4:
printHelp()
sys.exit(-1)
asm_fs = bench.init(dir_name)
if flag == '--x':
import convert_loop_bounds
analyseFunction(entry_point_function, asm_fs, dir_name, True,
False, False)
print "loop heads generated"
from bench import bench
print(
bench(
10, '''
class Counter():
def __init__(self):
self.n = 0
def inc(self, d = 1):
self.n += d
''', '''
for _ in range(10000):
c = Counter()
c.inc()
c.inc(-1)
'''))
from __future__ import print_function
import Pyro4
import bench
obj = bench.bench()
daemon = Pyro4.Daemon()
uri = daemon.register(obj, "example.benchmark")
print("Server running, uri = %s" % uri)
daemon.requestLoop()
from bench import bench print(bench(10, '', ''' s = [] for i in range(100000): s.append(i) for _ in range(100000): s.pop() '''))
from bench import bench print(bench(1000000, '', ''' a, (b, (c, (d, (e, (f, g))))) = (1, (2, (3, (4, (5, (6, 7)))))) (a, (b, (c, (d, (e, (f, g)))))) '''))
from bench import bench
def test():
try:
raise 42
except Exception as e:
pass
print(int(bench(100000, 'test', '()')))
from bench import bench
print(bench(100000, '''
def fib(n):
a, b = 0, 1
for _ in range(n - 1):
a, b = b, a
b += a
return b
''', '''
fib(20)
'''))
from bench import bench
def fib(n):
a, b = 0, 1
for _ in range(n):
a, b = b, a
b += a
return b
print(int(bench(100000, 'fib', '(20)')))
def main():
count = 1024
func = say_hello
bench(func, count=count)
import timeit
import bench, prime_sieve
REPEAT_COUNT = 1
for upper_bound_digits in range(7, 9):
upper_bound = 10**upper_bound_digits
print("upper_bound %d: " % upper_bound)
print('\n'.join(map(lambda x: "%s: time %f s, memory %f MB" % x, \
bench.bench([prime_sieve.eratosthenes, prime_sieve.euler], \
[upper_bound], REPEAT_COUNT))))
for f in funcs:
sys.stdout.write("%d times %s " % (iters,f.__name__))
voor = time.time()
for i in range(iters):
f()
sys.stdout.write("%.3f\n" % (time.time()-voor))
sys.stdout.flush()
duration = time.time()-begin
print('total time %.3f seconds' % duration)
amount=len(funcs)*iters
print('total method calls: %d' % (amount))
avg_pyro_msec = 1000.0*duration/amount
print('avg. time per method call: %.3f msec (%d/sec)' % (avg_pyro_msec,amount/duration))
print('-------- BENCHMARK LOCAL OBJECT ---------')
object=bench.bench()
begin = time.time()
iters = 200000
for f in funcs:
sys.stdout.write("%d times %s " % (iters,f.__name__))
voor = time.time()
for i in range(iters):
f()
sys.stdout.write("%.3f\n" % (time.time()-voor))
sys.stdout.flush()
duration = time.time()-begin
print('total time %.3f seconds' % duration)
amount=len(funcs)*iters
print('total method calls: %d' % (amount))
avg_normal_msec = 1000.0*duration/amount
print('avg. time per method call: %.3f msec (%d/sec)' % (avg_normal_msec,amount/duration//1000*1000))
from bench import bench
def fib(n, a, b):
return a if n == 0 else b if n == 1 else fib(n - 1, b, a + b)
print(int(bench(10000, 'fib', '(20, 0, 1)')))
def main():
count = 1024
func = say_hello_generic_way
bench(func, count=count)
iters = 1000
for f in funcs:
sys.stdout.write("%d times %s " % (iters,f.__name__))
voor = time.time()
for i in range(iters):
f()
sys.stdout.write("%.4f\n" % (time.time()-voor))
sys.stdout.flush()
duration = time.time()-begin
print('total time %.4f seconds' % duration)
print('total method calls: %d' % (len(funcs)*iters))
avg_pyro_msec = 1000.0*duration/(len(funcs)*iters)
print('avg. time per method call: %.4f msec' % avg_pyro_msec)
print('-------- BENCHMARK LOCAL OBJECT ---------')
object=bench.bench()
begin = time.time()
iters = 200000
for f in funcs:
sys.stdout.write("%d times %s " % (iters,f.__name__))
voor = time.time()
for i in range(iters):
f()
sys.stdout.write("%.4f\n" % (time.time()-voor))
sys.stdout.flush()
duration = time.time()-begin
print('total time %.4f seconds' % duration)
print('total method calls: %d' % (len(funcs)*iters))
avg_normal_msec = 1000.0*duration/(len(funcs)*iters)
print('avg. time per method call: %.4f msec' % avg_normal_msec)
print('Normal method call is %.2f times faster than Pyro method call.'%(avg_pyro_msec/avg_normal_msec))
def randomArray(n):
# kadai4実行時間計測のためランダムな配列を生成する関数
arr = arrayUtil.make1d(n)
for i in range(0,n):
arr[i] = random.random()
return arr
def ss_test_a(n):
return kadai4(randomArray(n),500)
def ss_test_k(k):
return kadai4(randomArray(1000),k)
data = [1000,2000,4000,8000,10000]
result_a = bench.bench(ss_test_a,data)
result_k = bench.bench(ss_test_k,data)
bench.plot(result_a)
bench.plot(result_k)
''' プログラムについての説明・計算量についての議論
まず今回のプログラムでは授業で扱ったmerge、mergesort関数を用いて
長い配列を2つに分割し、それぞれの小さい方から順にk個抽出し、計2k個からk個抽出するのを分割統治法を利用して行う関数kadai4を定義した。
また計算量を可視化するために授業で用いたrandomArray、ss_test（授業で用いたss_testをss_test_aとしている）も使用した。
プログラムを実行すると計算量のグラフのみが出力されるように設定してあるが、
from bench import bench
print(bench(10, '''
from random import randint
def bubbles(vs):
done, n = False, len(vs)
while not done:
done, n = True, n-1
for i in range(n-1):
x, y = vs[i], vs[i+1]
if x > y:
vs[i], vs[i+1] = y, x
done = False
return vs
vals = []
for _ in range(100):
vals.append(randint(0, 100000))
''', '''
bubbles(vals[:])
'''))
def tree_contains(tree, value):
if not tree:
return False
elif value == tree.node:
return True
elif value < tree.node:
return tree_contains(tree.left, value)
else:
return tree_contains(tree.right, value)
class UnbalancedTree(object):
def __init__(self):
self.tree = None
def insert(self, value):
self.tree = tree_insert(self.tree, value)
def contains(self, value):
return tree_contains(self.tree, value)
if __name__ == "__main__":
print "unbalancedTree is the main"
bench.bench(UnbalancedTree)
from bench import bench
print(
bench(
10, '''
def fib(n):
if n < 2: return n
return fib(n-1) + fib(n-2)
''', '''
fib(20)
'''))
def main():
print("==========================================================")
print("| Magic Maze |")
print("==========================================================")
parser = argparse.ArgumentParser()
parser.add_argument('-d', help = "The dungeon file to play with.")
parser.add_argument('-r', type = int, help = "Use a square random dungeon of the given size.")
parser.add_argument('-s', type = int, help = "Set the waiting time between moves in milliseconds.")
parser.add_argument('-l', type = int, help = "Set the starting life of the player.")
parser.add_argument('--pdmIteVal', action = 'store_true', help = "Solve the dungeon with value iteration.")
parser.add_argument('--pdmGurobi', action = 'store_true', help = "Solve the dungeon with Gurobi.")
parser.add_argument('--qLearn', action = 'store_true', help = "Solve the dungeon with Q-Learning.")
parser.add_argument('--infinite', action = 'store_true', help = "Try again and again to win the game.")
parser.add_argument('--bench', action = 'store_true', help = "Run the benchs.")
args = vars(parser.parse_args())
if args['bench']:
bench()
return
if args['d']:
print("Loading dungeon " + args['d'] + ".")
dungeon = load_dungeon(args['d'])
elif args['r']:
try:
r = max(int(args['r']), 2)
except Exception as e:
print("An exception \"" + str(e) + "\" has occured, did you give an integer as -r argument ?")
sys.exit()
dungeon = random_dungeon_generation(r, r)
else:
print("No dungeon file give, a random dungeon is being creating. Here are the options if you were looking for them.")
parser.print_help()
dungeon = random_dungeon_generation(5, 5)
try:
s = max(int(args['s']), 1)
except Exception as e:
s = 500
try:
maxLife = max(int(args['l']), 1)
except Exception as e:
maxLife = 1
g = Graphics(800, 1000, dungeon, s, maxLife, maxLife)
if args['pdmIteVal']:
g.print_footer("Welcome to Magic Maze, you are looking at the moves computed by the PDM resolution.")
if args['infinite']:
print_PDM(dungeon, g, maxLife, True)
else:
print_PDM(dungeon, g, maxLife, False)
elif args['pdmGurobi']:
g.print_footer("Welcome to Magic Maze, you are looking at the moves computed by the PDM resolution.")
if args['infinite']:
print_PDM(dungeon, g, maxLife, True, True)
else:
print_PDM(dungeon, g, maxLife, False, True)
elif args['qLearn']:
g.print_footer("Welcome to Magic Maze, you are looking at the moves computed using Q-Learning.")
print_qLearning(dungeon, g, maxLife)
else:
g.print_footer("Welcome to Magic Maze, use keyboard arrows to play.")
print_playerInput(dungeon, g, maxLife)
time.sleep(1)
from microscopes.common.recarray.dataview import numpy_dataview
from microscopes.mixture.model import bind, initialize
import numpy as np
import itertools as it
import sys
from bench import bench
def latent(groups, entities_per_group, features, r):
N = groups * entities_per_group
defn = model_definition(N, [bb] * features)
# generate fake data
Y = np.random.random(size=(N, features)) <= 0.5
view = numpy_dataview(
np.array([tuple(y) for y in Y], dtype=[('', bool)] * features))
# assign entities to their respective groups
assignment = [[g] * entities_per_group for g in xrange(groups)]
assignment = list(it.chain.from_iterable(assignment))
latent = bind(initialize(defn, view, r, assignment=assignment), view)
latent.create_group(r) # perftest() doesnt modify group assignments
return latent
if __name__ == '__main__':
bench(sys.argv[1:], latent)
from bench import bench print(bench(10, '', ''' x = 0.0 for _ in range(100000): x += 0.1 '''))
from bench import bench print(bench(10, ''' def fib(n): return n if n < 2 else fib(n-1) + fib(n-2) ''', ''' for _ in range(10): fib(20) '''))
from bench import bench
print(
bench(
10000, '', '''
list(map(lambda x: x+1, filter(lambda x: x > 48, range(100))))
'''))
print(bench(10000, '', '''
[x+1 for x in range(100) if x > 48]
'''))
funcs[0]()
for i, f in enumerate(funcs, start=1):
print("call #%d, %d times... " % (i, iters), end="")
before = time.time()
for _ in range(iters):
f()
print("%.3f" % (time.time() - before))
duration = time.time() - begin
print('total time %.3f seconds' % duration)
amount = len(funcs) * iters
print('total method calls: %d' % amount)
avg_pyro_msec = 1000.0 * duration / amount
print('avg. time per method call: %.3f msec (%d/sec) (serializer: %s)' % (avg_pyro_msec, amount / duration, Pyro4.config.SERIALIZER))
print('-------- BENCHMARK LOCAL OBJECT ---------')
obj = bench.bench()
begin = time.time()
iters = 300000
print("warmup...")
for _ in range(iters):
funcs[0]()
for i, f in enumerate(funcs, start=1):
print("call #%d, %d times... " % (i, iters), end="")
before = time.time()
for _ in range(iters):
f()
print("%.3f" % (time.time() - before))
duration = time.time() - begin
print('total time %.3f seconds' % duration)
amount = len(funcs) * iters
print('total method calls: %d' % amount)
#!/usr/bin/env python
import bench
class UnsortedListSet(object):
def __init__(self):
self.values = []
def insert(self, value):
if not self.contains(value):
self.values.append(value)
def contains(self, value):
for x in self.values:
if x == value:
return True
return False
if __name__ == "__main__":
print "unsortedlistset is the main"
bench.bench(UnsortedListSet)
