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#!/usr/bin/env python3
import subprocess
import time
import struct
import random
import math
import statistics
import tempfile
import itertools
from collections import defaultdict
from os import path
import tqdm
SIMS = [ 'dec_proto_am_ber_top.py',
'dec_proto_am_dc_ber_top.py',
'dec_proto_fm_ber_top.py',
]
E12_SERIES = [1.0, 1.2, 1.5, 1.8, 2.2, 2.7, 3.3, 3.9, 4.7, 5.6, 6.8, 8.2]
AMPLITUDES_MILLIHERTZ = [ x*y for y in [1, 10, 100] for x in E12_SERIES ]
SIMULATION_DURATION = 30.0 # seconds realtime
MAX_CONCURRENT_PROCESSES = 8
def run_simulation(
duration = SIMULATION_DURATION,
simulations = SIMS,
forklimit = MAX_CONCURRENT_PROCESSES,
amplitudes:'list(millihertz)' = AMPLITUDES_MILLIHERTZ,
terminate_timeout:'s' = 5.0,
communicate_timeout:'s' = 10.0,
repeat_runs = 1,
shuffle = False,
tqdm = tqdm.tqdm
):
with tempfile.TemporaryDirectory() as tmpdir:
jobs = list(enumerate(itertools.product(simulations, amplitudes * repeat_runs)))
if shuffle:
random.shuffle(jobs)
nchunks = int(math.ceil(len(jobs)/forklimit))
def start_processes(jobs):
for i, (sim, ampl_mhz) in jobs:
berfile = path.join(tmpdir, f'berfile_{i}')
proc = subprocess.Popen(['/usr/bin/python2', sim,
'--signal-strength', str(ampl_mhz),
'--ber-file', berfile],
stdin=subprocess.PIPE, stdout=subprocess.DEVNULL)
yield proc, sim, ampl_mhz, berfile
results = { sim: defaultdict(lambda: ([], [])) for sim in simulations }
with tqdm(total = nchunks * duration, bar_format='{l_bar}{bar}| {elapsed}<{remaining}') as tq:
tq.write(f'Will launch {len(jobs)} simulation jobs in {nchunks} batches of {forklimit}')
for n, i in enumerate(range(0, len(jobs), forklimit)):
batch = jobs[i:][:forklimit]
tq.write(f'Starting batch {n+1}/{nchunks}...')
processes = list(start_processes(batch))
tq.write('done.')
tq.write('Waiting for simulation:')
for _ in range(100):
time.sleep(duration/100)
tq.update(duration/100)
tq.write('Terminating processes...')
for proc, *_ in processes:
proc.communicate(b'\n', timeout=communicate_timeout)
for proc, *_ in processes:
proc.wait(terminate_timeout)
tq.write('done.')
tq.write('Processing simulation results')
for _proc, sim, ampl_mhz, berfile in processes:
with open(berfile, 'rb') as f:
data = f.read()
floats = struct.unpack(f'{len(data)//4}f', data)
ber = statistics.mean(floats[-256:])
stdev = statistics.stdev(floats[-256:])
bers, stdevs = results[sim][ampl_mhz]
bers.append(ber)
stdevs.append(stdev)
return results
if __name__ == '__main__':
print(run_simulation())
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