import copy
import re
from Queries import populate_user
from Tictoc import Tictoc
from Transaction import Transaction_TS
from newUI import buildUI
no_transactions = 0
user_list = populate_user(100, db=True)
Tran_dict = dict()
arg_list = dict()
command_list = list()
temp_list = copy.deepcopy(user_list)
algorithm = Tictoc(temp_list)
def initiate_tictoc(trx_list):
global set_time
for i in trx_list:
set_time += 1
key = "T" + str(i)
Tran_dict[key] = Transaction_TS(set_time, algorithm)
def algo_parser(text):
global no_transactions
for i in text:
if re.match(r'^T\d+,', i):
trx_list = re.findall(r'T(\d)', i)
initiate_tictoc(trx_list)
import re import random import math from random import Random from Queries import populate_user from Tictoc import Tictoc from Transaction import Transaction_TicToc, Transaction_TS import time from TO import TimeStamp import string no_transactions = 0 data_size = 10000 contention_size = int(data_size * 0.1) user_list = populate_user(data_size, db=False) Tran_dict = dict() arg_list = dict() command_list = list() temp_list = copy.deepcopy(user_list) algorithm1 = Tictoc(temp_list) algorithm2 = TimeStamp(temp_list) # for randomly generating the data myPRNG = Random() no_of_queries = 8 no_of_reads = 6 no_of_writes = no_of_queries - no_of_reads hotspot_queries = 0.6 no_of_comm_users = int(math.ceil(no_of_queries * hotspot_queries))