<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2018-10-15 16:47:29, FootLockerWomen from company foot locker tweeted. The tweet was "Like sunshine on a rainy day. 🌞
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-07 22:27:40, FootySuperTips handle of company free tweeted. The tweet was "Tweet of the night goes to <mention> 😂👏 <hyperlink>". This tweet got 45 number of likes. 
2. On 2020-11-12 13:17:16, NoLayingUp handle of company no tweeted. The tweet was "When it's soft and rainy <hyperlink>". This tweet got 1532 number of likes. 
3. On 2018-05-31 12:00:02, FootySuperTips handle of company free tweeted. The tweet was "Tweet of the Day

😂😂😂 <hyperlink>". This tweet got 357 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
