mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-23 21:11:08 +00:00
Use spawn
start method in multiprocessing programs (#11391)
* Use `spawn` start method in multiprocessing programs * Set `spawn` start method in doctest * Use `with` statement for locks * Pass multiprocessing context explicitly
This commit is contained in:
parent
5131e3145d
commit
ea53051576
|
@ -11,11 +11,11 @@ They are synchronized with locks and message passing but other forms of
|
|||
synchronization could be used.
|
||||
"""
|
||||
|
||||
from multiprocessing import Lock, Pipe, Process
|
||||
import multiprocessing as mp
|
||||
|
||||
# lock used to ensure that two processes do not access a pipe at the same time
|
||||
# NOTE This breaks testing on build runner. May work better locally
|
||||
# process_lock = Lock()
|
||||
# process_lock = mp.Lock()
|
||||
|
||||
"""
|
||||
The function run by the processes that sorts the list
|
||||
|
@ -29,8 +29,17 @@ resultPipe = the pipe used to send results back to main
|
|||
"""
|
||||
|
||||
|
||||
def oe_process(position, value, l_send, r_send, lr_cv, rr_cv, result_pipe):
|
||||
process_lock = Lock()
|
||||
def oe_process(
|
||||
position,
|
||||
value,
|
||||
l_send,
|
||||
r_send,
|
||||
lr_cv,
|
||||
rr_cv,
|
||||
result_pipe,
|
||||
multiprocessing_context,
|
||||
):
|
||||
process_lock = multiprocessing_context.Lock()
|
||||
|
||||
# we perform n swaps since after n swaps we know we are sorted
|
||||
# we *could* stop early if we are sorted already, but it takes as long to
|
||||
|
@ -38,27 +47,23 @@ def oe_process(position, value, l_send, r_send, lr_cv, rr_cv, result_pipe):
|
|||
for i in range(10):
|
||||
if (i + position) % 2 == 0 and r_send is not None:
|
||||
# send your value to your right neighbor
|
||||
process_lock.acquire()
|
||||
r_send[1].send(value)
|
||||
process_lock.release()
|
||||
with process_lock:
|
||||
r_send[1].send(value)
|
||||
|
||||
# receive your right neighbor's value
|
||||
process_lock.acquire()
|
||||
temp = rr_cv[0].recv()
|
||||
process_lock.release()
|
||||
with process_lock:
|
||||
temp = rr_cv[0].recv()
|
||||
|
||||
# take the lower value since you are on the left
|
||||
value = min(value, temp)
|
||||
elif (i + position) % 2 != 0 and l_send is not None:
|
||||
# send your value to your left neighbor
|
||||
process_lock.acquire()
|
||||
l_send[1].send(value)
|
||||
process_lock.release()
|
||||
with process_lock:
|
||||
l_send[1].send(value)
|
||||
|
||||
# receive your left neighbor's value
|
||||
process_lock.acquire()
|
||||
temp = lr_cv[0].recv()
|
||||
process_lock.release()
|
||||
with process_lock:
|
||||
temp = lr_cv[0].recv()
|
||||
|
||||
# take the higher value since you are on the right
|
||||
value = max(value, temp)
|
||||
|
@ -94,39 +99,60 @@ def odd_even_transposition(arr):
|
|||
>>> odd_even_transposition(unsorted_list) == sorted(unsorted_list + [1])
|
||||
False
|
||||
"""
|
||||
# spawn method is considered safer than fork
|
||||
multiprocessing_context = mp.get_context("spawn")
|
||||
|
||||
process_array_ = []
|
||||
result_pipe = []
|
||||
# initialize the list of pipes where the values will be retrieved
|
||||
for _ in arr:
|
||||
result_pipe.append(Pipe())
|
||||
result_pipe.append(multiprocessing_context.Pipe())
|
||||
# creates the processes
|
||||
# the first and last process only have one neighbor so they are made outside
|
||||
# of the loop
|
||||
temp_rs = Pipe()
|
||||
temp_rr = Pipe()
|
||||
temp_rs = multiprocessing_context.Pipe()
|
||||
temp_rr = multiprocessing_context.Pipe()
|
||||
process_array_.append(
|
||||
Process(
|
||||
multiprocessing_context.Process(
|
||||
target=oe_process,
|
||||
args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0]),
|
||||
args=(
|
||||
0,
|
||||
arr[0],
|
||||
None,
|
||||
temp_rs,
|
||||
None,
|
||||
temp_rr,
|
||||
result_pipe[0],
|
||||
multiprocessing_context,
|
||||
),
|
||||
)
|
||||
)
|
||||
temp_lr = temp_rs
|
||||
temp_ls = temp_rr
|
||||
|
||||
for i in range(1, len(arr) - 1):
|
||||
temp_rs = Pipe()
|
||||
temp_rr = Pipe()
|
||||
temp_rs = multiprocessing_context.Pipe()
|
||||
temp_rr = multiprocessing_context.Pipe()
|
||||
process_array_.append(
|
||||
Process(
|
||||
multiprocessing_context.Process(
|
||||
target=oe_process,
|
||||
args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i]),
|
||||
args=(
|
||||
i,
|
||||
arr[i],
|
||||
temp_ls,
|
||||
temp_rs,
|
||||
temp_lr,
|
||||
temp_rr,
|
||||
result_pipe[i],
|
||||
multiprocessing_context,
|
||||
),
|
||||
)
|
||||
)
|
||||
temp_lr = temp_rs
|
||||
temp_ls = temp_rr
|
||||
|
||||
process_array_.append(
|
||||
Process(
|
||||
multiprocessing_context.Process(
|
||||
target=oe_process,
|
||||
args=(
|
||||
len(arr) - 1,
|
||||
|
@ -136,6 +162,7 @@ def odd_even_transposition(arr):
|
|||
temp_lr,
|
||||
None,
|
||||
result_pipe[len(arr) - 1],
|
||||
multiprocessing_context,
|
||||
),
|
||||
)
|
||||
)
|
||||
|
|
Loading…
Reference in New Issue
Block a user