#example of simulate one hour data
import random
input_path="../tweet_input/tweets_base.txt"
lines=open(input_path).readlines()
output = open("../tweet_input/tweets.txt", "w")
num=100000000
for idx in range(num):
	output.write(lines[int(random.uniform(0, 2))])
0e327d6554cd9f388aaa004f06e40db7d36a202e
<mask token>

<mask token>
for idx in range(num):
    output.write(lines[int(random.uniform(0, 2))])

<mask token>
input_path = '../tweet_input/tweets_base.txt'
lines = open(input_path).readlines()
output = open('../tweet_input/tweets.txt', 'w')
num = 100000000
for idx in range(num):
    output.write(lines[int(random.uniform(0, 2))])

import random
input_path = '../tweet_input/tweets_base.txt'
lines = open(input_path).readlines()
output = open('../tweet_input/tweets.txt', 'w')
num = 100000000
for idx in range(num):
    output.write(lines[int(random.uniform(0, 2))])

#example of simulate one hour data
import random
input_path="../tweet_input/tweets_base.txt"
lines=open(input_path).readlines()
output = open("../tweet_input/tweets.txt", "w")
num=100000000
for idx in range(num):
	output.write(lines[int(random.uniform(0, 2))])