BBP-formula-python-multithr.../BBP multithreading.py
2021-08-27 12:48:25 +02:00

78 lines
1.9 KiB
Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Mateusz779
"""
from decimal import Decimal
from decimal import getcontext
import time
from multiprocessing.dummy import Pool as Pool
from tqdm import tqdm
import argparse
parser = argparse.ArgumentParser(description='The script computes the number pi.')
parser.add_argument('-t', '--threads', help="Number of threads deffault 4", required=False,type=int, default=4)
parser.add_argument('-c', '--count', help="Number of numbers after the point deffault 10000", required=False,type=int, default=10000)
parser.add_argument('-f', '--filename', help="File to save result", required=False)
args = parser.parse_args()
threads=args.threads
count = args.count #number of numbers after the point
thread_list = []
count=count+1
list_all = {}
pbar = tqdm(total =count)
def pi(start):
getcontext().prec=count-start
for k in range (start,int(start+one_count)):
pbar.update(1)
list_all[k]=(1/Decimal(16)**k * (Decimal(4)/(8*k+1) - Decimal(2)/(8*k+4) - Decimal(1)/(8*k+5) - Decimal(1)/(8*k+6)))
start_table = []
if count >500:
tasks=int(threads*(count/1000))
else:
tasks=1
one_count=int(count/tasks)
def main():
start_table = [int((one_count * i)) for i in range(tasks)]
start = time.time()
with Pool(processes=threads) as pool:
results = pool.starmap(
pi,
iterable=zip(start_table),
chunksize=100000 // threads
)
end = time.time()
result=0
getcontext().prec=count
sort = sorted(list_all.items())
for i in sort:
result=result+i[1]
print(Decimal(result))
print("\n\n")
print("Elapsed time: ",end - start,"s\n")
if args.filename!=None:
f = open(args.filename, "w")
f.write(str(Decimal(result)))
f.close()
if __name__ == "__main__":
main()