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pi.py
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49 lines (37 loc) · 1.08 KB
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import multiprocessing
import random
samples = 10000000
def pi_serial():
hits = 0
for i in range(samples):
x = random.uniform(-1.0, 1.0)
y = random.uniform(-1.0, 1.0)
if x**2 + y**2 <= 1:
hits += 1
pi = 4.0 * hits/samples
return pi
def sample():
x = random.uniform(-1.0, 1.0)
y = random.uniform(-1.0, 1.0)
if x**2 + y**2 <= 1:
return 1
else:
return 0
def pi_apply_async():
pool = multiprocessing.Pool()
results_async = [pool.apply_async(sample)
for i in range(samples)]
hits = sum(r.get() for r in results_async)
pi = 4.0 * hits/samples
return pi
def sample_multiple(samples_partial):
return sum(sample() for i in range(samples_partial))
def pi_apply_async_chunked():
ntasks = 10
chunk_size = samples/ntasks
pool = multiprocessing.Pool()
results_async = [pool.apply_async(sample_multiple, [chunk_size])
for i in range(ntasks)]
hits = sum(r.get() for r in results_async)
pi = 4.0 * hits/samples
return pi