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import concurrent.futures | |
import multiprocessing | |
import random | |
import time | |
from functools import partial | |
def fn2(fn, chunk): | |
return [fn(*args) for args in zip(*chunk)] | |
class FastProcessPoolExecutor(concurrent.futures.ProcessPoolExecutor): | |
def map(self, fn, *iterables, timeout=None, chunksize=None): | |
iter_len = min(len(i) for i in iterables) | |
fn3 = partial(fn2, fn) | |
if chunksize is None: | |
chunksize, extra = divmod(iter_len, self._max_workers * 4) | |
if extra: | |
chunksize += 1 | |
if timeout is not None: | |
end_time = timeout + time.time() | |
fs = [self.submit(fn3, [iterable[ch:ch + chunksize] | |
for iterable in iterables]) | |
for ch in range(0, iter_len, chunksize)] | |
try: | |
for future in fs: | |
if timeout is None: | |
for i in future.result(): | |
yield i | |
else: | |
for i in future.result(end_time - time.time()): | |
yield i | |
finally: | |
for future in fs: | |
future.cancel() | |
def f(x): | |
return x ** 2 | |
def patch_integrate(func, start, end, num_samples=1000): | |
"""uses random sampling to integrate func from 'start' to 'end'""" | |
with FastProcessPoolExecutor(max_workers=100) as executor: | |
random_samples = \ | |
[random.uniform(start, end) for i in range(num_samples)] | |
total = sum(executor.map(func, random_samples)) | |
return (end - start) * total / num_samples | |
def futures_plantation_integrate(func, start, end, num_samples=1000): | |
"""uses random sampling to integrate func from 'start' to 'end'""" | |
with concurrent.futures.ThreadPoolExecutor(max_workers=100) as executor: | |
random_samples = \ | |
(random.uniform(start, end) for i in range(num_samples)) | |
total = sum(executor.map(func, random_samples)) | |
return (end - start) * total / num_samples | |
def futures_integrate(func, start, end, num_samples=1000): | |
"""uses random sampling to integrate func from 'start' to 'end'""" | |
with concurrent.futures.ProcessPoolExecutor(max_workers=500) as executor: | |
random_samples = \ | |
(random.uniform(start, end) for i in range(num_samples)) | |
total = sum(executor.map(func, random_samples)) | |
return (end - start) * total / num_samples | |
def baseline_integrate(func, start, end, num_samples=1000): | |
"""simple, single-executor approach""" | |
samples = (random.uniform(start, end) for i in range(num_samples)) | |
total = sum(func(i) for i in samples) | |
return (end - start) * total / num_samples | |
# pool of processes has to be instantiated out here. | |
# if it's in the function, the timing stuff makes it | |
# gets reinstantiated faster than it can be garbage- | |
# collected | |
pool = multiprocessing.Pool(processes=10) | |
def processing_integrate(func, start, end, num_samples=1000): | |
"""uses a multiprocessing pool""" | |
samples = (random.uniform(start, end) for i in range(num_samples)) | |
total = sum(pool.map(func, samples)) | |
return (end - start) * total / num_samples | |
def time_it(f, times=3): | |
timings = [] | |
for i in range(times): | |
start = time.time() | |
f() | |
stop = time.time() | |
timings.append(stop - start) | |
return sum(timings) / len(timings) | |
args = f, 0, 100 | |
kwargs = {"num_samples": 10 ** 4} | |
print("baseline") | |
print(time_it(partial(baseline_integrate, *args, **kwargs))) | |
print("multiprocessing") | |
print(time_it(partial(processing_integrate, *args, **kwargs))) | |
print("patch future") | |
print(time_it(partial(patch_integrate, *args, **kwargs))) | |
print("threads") | |
print(time_it(partial(futures_plantation_integrate, *args, **kwargs))) | |
#print("stdlib processes") | |
#print(time_it(partial(futures_integrate, *args, **kwargs))) |
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if the results this code is spitting out are accurate: http://www.brianafahey.com/hugemistake.png