<|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 2018-10-30 11:30:12, bbceastenders from company bbc tweeted. The tweet was "A pair of square-cross’d lovers, or two no-good cheaters: does #Sheanu deserve a trick or a treat?
RT for TRICK / Like for TREAT #EastEnders <hyperlink>". The most similar tweets were, 
1. On 2019-03-20 12:00:18, virginmedia handle of company virgin media tweeted. The tweet was "Two Southampton players. Two undercover secret agents. Two hidden earpieces. One pranked manager! What could go wrong? Watch the full video here tomorrow 😂 #SuperSaints <hyperlink>". This tweet got 126 number of likes. 
2. On 2019-10-31 13:00:00, Starbucks handle of company starbucks tweeted. The tweet was "May you always pick treat over trick. #HappyHalloween <hyperlink>". This tweet got 1280 number of likes. 
3. On 2018-10-26 21:40:01, AAA_MWG handle of company aaa tweeted. The tweet was "We love Halloween, but we love our kids more! Please help keep all our trick-or-treaters safe. <hyperlink> #HalloweenSafety <hyperlink>". This tweet got 0 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
