<|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 2020-11-09 00:00:01, lanebryant from company lane bryant tweeted. The tweet was "Chambray is a vibe all. year. round. 🙌 Just ask <mention> (who’s KILLING it in our Chambray Ankle Jumpsuit)!
Shop: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-09-22 23:00:00, lanebryant handle of company lane bryant tweeted. The tweet was "Weekend vibes with <mention> in our Skinny Jean with the New FLEX Magic Waistband. 👖 
Shop: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
2. On 2019-09-11 23:00:01, lanebryant handle of company lane bryant tweeted. The tweet was "It's Lane Fashion Week! 😎 We LOVE how <hyperlink> rocks this look! #NYFW #WCW
Shop: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-05-14 14:59:55, lanebryant handle of company lane bryant tweeted. The tweet was "Cue the shoulder shimmy (and bring on that backyard picnic)
Shop: <hyperlink> <hyperlink>". This tweet got 5 number of likr 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
6<|im_end|>
