<|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 2018-07-28 05:31:00, CNN from company cnn tweeted. The tweet was "Watch the moment thousands of sardines jumped out of the water in a fishing port in Taipei, Taiwan <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-11 08:31:00, CNN handle of company cnn tweeted. The tweet was "Why did the salmon cross the road? More than a dozen of the fish were filmed swimming across a flooded US highway in Washington last weekend <hyperlink> <hyperlink>". This tweet got 1007 number of likes. 
2. On 2018-11-06 05:45:04, CNN handle of company cnn tweeted. The tweet was "Why did the salmon cross the road? More than a dozen of the fish were filmed swimming across a flooded US highway in Washington on Saturday: <hyperlink> <hyperlink>". This tweet got 774 number of likes. 
3. On 2020-07-01 12:30:00, Independent handle of company independent tweeted. The tweet was "Whale trapped in fishing nets rescued off Sicily coast <hyperlink>". This tweet got 46 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
646<|im_end|>
