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plain_python__send_bytes__multiprocess_pipe.py
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plain_python__send_bytes__multiprocess_pipe.py
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#!/usr/bin/env python
# coding=utf-8
# Copyright © 2012-2024 ButenkoMS. All rights reserved. Contacts: <gtalk@butenkoms.space>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Module Docstring
Docstrings: http://www.python.org/dev/peps/pep-0257/
"""
__author__ = "ButenkoMS <gtalk@butenkoms.space>"
__copyright__ = "Copyright © 2012-2024 ButenkoMS. All rights reserved. Contacts: <gtalk@butenkoms.space>"
__credits__ = ["ButenkoMS <gtalk@butenkoms.space>", ]
__license__ = "Apache License, Version 2.0"
__version__ = "4.4.1"
__maintainer__ = "ButenkoMS <gtalk@butenkoms.space>"
__email__ = "gtalk@butenkoms.space"
# __status__ = "Prototype"
__status__ = "Development"
# __status__ = "Production"
import asyncio
import multiprocessing
from os import getpid
from cengal.performance_test_lib import MeasureTimeTraceLine
async def send_data(conn):
print(f"Sender PID: {getpid()}")
data = bytes([255] * 300000)
with MeasureTimeTraceLine('send_data', iterations=1000) as mt:
for i in range(mt.iterations):
conn.send(data)
# print(f"Data sent iteration {i+1}")
print(f'Throughput: {(300000 * mt.iterations) / mt.time_spent:.2f} bytes per second')
print()
conn.close()
async def receive_data(conn):
loop = asyncio.get_running_loop()
print(f"Receiver PID: {getpid()}")
with MeasureTimeTraceLine('receive_data', iterations=1000) as mt:
for i in range(mt.iterations):
data = await loop.run_in_executor(None, conn.recv)
# print("Received data")
print(f'Throughput: {(300000 * mt.iterations) / mt.time_spent:.2f} bytes per second')
print()
def main():
parent_conn, child_conn = multiprocessing.Pipe()
# Start sender process
sender_process = multiprocessing.Process(target=asyncio.run, args=(send_data(child_conn),))
sender_process.start()
# Start receiver process
receiver_process = multiprocessing.Process(target=asyncio.run, args=(receive_data(parent_conn),))
receiver_process.start()
# Wait for both processes to complete
sender_process.join()
receiver_process.join()
if __name__ == "__main__":
main()