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BBP multithreading.py

@@ -0,0 +1,53 @@
+from decimal import Decimal
+from decimal import getcontext
+import time
+from multiprocessing.dummy import Pool as Pool #pip3 install multiproces
+from tqdm import tqdm #pip3 install tqdm
+
+threads=4 #threads number
+count = 10000 #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:
+    th=int(threads*(count/1000))
+else:
+    th=1
+while count%th!=0:
+    if count>th:
+        th=th+1
+    else:
+        th=th-1
+
+one_count=int(count/th)
+
+for i in range(th):
+    start_table.append(int((one_count*i)))
+
+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")