<|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 2018-06-09 01:09:27, FootLockerWomen from company foot locker tweeted. The tweet was "Heat up the summer. #adidas Farm collection available now in-store and online! <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-08-04 14:00:11, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "sneakers that scream summer via <mention> 
<hyperlink> <hyperlink>". This tweet got 155 number of likes. 
2. On 2018-09-03 20:11:11, ToyotaFanZone handle of company toyota tweeted. The tweet was "Put your feet up with our <mention> socks. #SFGiants <hyperlink>". This tweet got 7 number of likes. 
3. On 2019-04-02 14:00:12, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "Give your boots a break: new sandals from <mention> are everything right now.
<hyperlink> <hyperlink>". This tweet got 487 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
